DDI_UGA_2012_SAGE-BL_v01_M Oxford Policy Management Ltd. Development Economics Data Group 2016-07-18 NADA Version 01 (July 2016) Social Assistance Grants for Empowerment Programme 2012 Evaluation Baseline Survey SAGE 2012 UGA_2012_SAGE-BL_v01_M Oxford Policy Management Ltd. Oxford Policy Management Ltd. Research Guide Africa Ipsos-Synovate Uganda 2016, Oxford Policy Management NADA Department For International Development Irish Aid UN Children's Fund Fred Merttens Oxford Policy Management Ltd. Other Household Survey [hh/oth] This is the Baseline survey. It took place between September and October 2012. Follow up 1 took place between September and October in 2013. Follow up 2 took place between September and October in 2014. Anonymous datasets for public distribution Cash Transfer Empowerment Uganda Social Protection Impact Evaluation Social Protection <b> Objectives of the Project </b> The data files described in this documentation correspond to a household sample survey carried out in three rounds (baseline in 2012, follow up 1 in 2013 and follow up 2 in 2014) with the objective of evaluating the impact of the Uganda Social Assistance Grants for Empowerment (SAGE) programme in 14 pilot districts across the Eastern, Central, Western and Northen districts in Uganda. The impact evaluation has the following objectives: - Assess the impact and operational effectiveness of the SAGE pilot programme. - Compare the relative performance of the two targeting methodologies used in the pilot. The evaluation assesses SAGE against its main objectives of empowering recipient households through: - Reducing material deprivation - Increasing economic security - Reducing social exclusion - Increasing access to services. <b> What is the SAGE Programme?</b> The SAGE programme transfer is currently worth UGX 25,000 per month and is paid every two months. This transfer is provided using electronic transfers. The two targeting methodologies being implemented are as follows: - Vulnerable Family Support Grant (VFSG) - This employs a composite index based on demographic indicators of vulnerability to determine eligbility. - Senior Citizen Grant (SCG) - This uses age to determine eligibility. Under the VFSG, if they are present in a beneficiary household, adult women are selected by the programme to be the physical recipient of transfers. In the case of SCG, the transfer is given to the specific older person enrolled. Uganda The data covers the 14 pilot districts selected for the SAGE programme pilot districts. These districts were as follows: Kiboga, Katwaki, Kaberamaido, Kyenjojo, Nebbi, Apac, Moroto, Nakapiripirit, Kole, Zombo, Amudat, Napak, Kyegegwa and Kyankwanzi. However, for the evaluation the original 8 districts were selected (Apac, Kaberamaido, Katakwi, Kiboga, Kyenjojo, Moroto, Nakapiripirit and Nebbi). District The basic unit of analysis is at the household level. However, some datasets contain individual level data, whilst some data is collected at the community level. The quantitative survey was implemented in 398 clusters across 48 sub-counties in eight programme districts (Apac, Kaberamaido, Katakwi, Kiboga, Kyenjojo, Moroto, Nakapiripirit and Nebbi). The two targeting mechanisms (SCG and VFSG) were randomly assigned evenly between the 48 sub-counties, with the exception of the Karamoja region in which only the SCG targeting mechanism was employed. The SAGE programme implemented the targeting process in evaluation areas where selected recipients received the transfer, but only after they were surveyed at baseline by the evaluation teams. The households in the evaluation areas that were selected for the programme are referred to as the treatment group. The comparison households that were selected were those households that fell just shy of the selection thresholds. For SCG the threshold is 65 years of age, dropping to 60 years of age in the Karamoja region. For VFSG eligibility depends on a household's labour capacity and dependency (LCD) score, with the threshold score for eligibility varying by region. Households who fell just below the relevant SCG/VFSG threshold are referred to as the comparison group. Sample survey data [ssd] The scope of the survey includes - Household questionnaire: household characteristics, education, health, activities of the household members, migration, housing conditions, empowerment, assets, land and livestock, subjective poverty, saving and borrowing, formal/informal transfers, hunger scale, consumption, operational and targeting, anthropometry. - Community: community access to facilities, wages, local goods and prices. The quantitative data was collected across three rounds: Baseline in 2012, follow up round 1 in 2013 and follow up round 2 in 2014. This took place between September and October in each of the years. Research Guide Africa Ipsos Synovate Uganda <b> Overview </b> In order to deliver the quantitative impact evaluation study design, a three-round longitudinal household panel survey was conducted. The quantitative survey was implemented in 398 clusters across 48 sub-counties in eight programme districts. The evaluation was conducted in eight of the 14 districts, in agreement with the programme. This was in order to minimise the operational burden of the evaluation on the programme, due to the requirement that the evaluation randomly assign targeting mechanisms between sub-counties within evaluation districts. Consequently, it was agreed to exclude from the evaluation the six 'new' districts that were created from the original districts when theadministrative boundaries were redrawn in 2010. <b> Selection of Sub-counties </b> Evaluation sub-counties were randomly selected from a list of sub-counties provided by the Uganda 2002 census. This list had to be adjusted to incorporate the 2010 sub-county boundary changes, with the populations of the new sub-counties provided by SAGE. The sample frame was thus comprised of the 74 sub-counties (as defined by the old administrative boundaries) in the eight programme evaluation districts, minus six that were excluded from selection for the evaluation. Prior to selection, this list of 68 sub-counties was first randomly divided into two lists, one from which SCGsub-counties were drawn and one from which VFSG sub-counties were drawn. This random allocation of treatment was done to ensure a similar spread of sub-counties in both SCG and VFSG lists, allowing for rigorous comparison across the two targeting methodologies. The 24 SCG and 24 VFSG sub-counties to be covered by the evaluation were then randomly selected from the SCG and VFSG sub-county lists respectively. Sub-counties were selected using probability proportional to size (PPS). The sampling of evaluation sub-counties had to account for the fact that in Karamoja only the SCG targeting mechanism was to be applied. To avoid sub-counties in the Karamoja region being over-represented in the SCG sub-county list, the list of VFSG sub-counties was not restricted to exclude those in the Karamoja region. Instead those Karamoja sub-counties that were randomly allocated to the VFSG sub-county list were then excluded, with the 24 VFSG evaluation sub-counties randomly selected from the restricted sub-county list. <b> Selection of Evaluation Primary Sampling Units </b> Within selected evaluation sub-counties a number of primary sampling units (PSUs) or clusters were drawn. The precise number of clusters depended on balancing a number of different factors: whether the unit was practically viable for use as a cluster for survey implementation; the population density of treatment and comparison households per cluster at the specified bandwidth; the number of clusters required at the specified bandwidth in order to achieve the proposed household sample size; and the number of clusters that it was financially viable to survey. 400 clusters (200 SCG; 200 VFSG) were randomly selected from across the 48 evaluation sub-counties, where the unit of cluster was the village, and using PPS based on the number of households within the bandwidth in each PSU. Due to the use of PPS and the relatively large size of a few villages compared to all the other villages, one SCG community was selected twice. Furthermore, during fieldwork it was found that two SCG communities in the sample frame that had been selected were in fact one community. This means that the final number of SCG communities is 198 and not 200, meaning that the final cluster sample comprised 398 discrete villages. <b> Sampling of Evaluation Households </b> From each of the 398 sampled villages, five treatment and five comparison group households were randomly selected for interview; with the exception of the two clusters that were sampled twice, from which 10 treatment and 10 comparison households were selected. In cases where insufficient treatment or comparison households were present within a particular village, the sample was re-distributed according to the following protocol: - For low density villages that contain between six and nine evaluation households (i.e. treatment or comparison households within the evaluation bandwidth), replacements were taken from other sampled villages within the same sub-county. This was done by randomly selecting replacement households from the full list of households living in sampled evaluation villages in the same sub-county, that had not already been sampled. - In order to minimise the negative effect of the redistribution of sampled households between clusters on the logistics of the fieldwork, we restricted the total number of households to be interviewed within a particular village to a maximum of 12 households. - Extremely low density villages containing less than six households within the bandwidth in total (either treatment or comparison) were dropped from the sample frame. Analysis of the most recent available SAGE MIS data from the six pre-pilot sub-counties shows that this represents only a very small proportionof beneficiaries and villages. <b> Selection of Control Communities </b> A sample of 100 control communities was also surveyed in order to measure impact on a selection of community-level outcomes. The control communities survey did not include a household survey. The control communities were identified using matching techniques, which match treatment and control communities using characteristics drawn from the 2002 Uganda Census. The control communities are located across six control districts, chosen using the same rationale as was used to select the 14 pilot programme districts, to obtain maximum comparability. The six control districts selected were: Nakasongola in the Central region; Kamuli and Buyende in the Eastern region; Pader and Agago in the Northern region; and Kamwenge in the Western region. Face-to-face [f2f] In each round there was a household questionnaire which was administered to each household and collected the household and individual level information. This contained modules on household characteristics, education, health, activities of the household members, migration, housing conditions, empowerment, assets, land and livestock, subjective poverty, saving and borrowing, formal/informal transfers, hunger scale, consumption, operational and targeting, anthropometry. In addition a community questionnaire was conducted in each community. This includes modules on communities access to facilities, wages, local goods and prices. There were a total of 8 team, each with a supervisor. There was also a roving quality assurance team that circulated between the teams, which provided support and monitoring. Additionally, international staff did some fieldword support/supervision, particularly at the start of each survey round. Weights were given by the inverse of the probability of being selected. The household’s probability of selection was broken down into two component parts: 1) the probability of selection of the PSU; and 2) the probability of being selected into treatment and comparison groups from the list of all possible SAGE eligible and non-eligible households within the specified bandwidths in that PSU. In the calculation of the survey weights we ignored the probability associated with the selection of the evaluation sub-counties. Doing so reduces the variance of the final weights, thereby reducing the variance of point estimates and increasing the likelihood of detecting impact should the SAGE programme impact key outcome indicators. Furthermore, 48 out of a total 68 sub-counties have been included in the evaluation, meaning that the evaluation sample of sub-counties is already very representative of the total pilot population of sub-counties. We defined the two component probabilities as follows: <b> P1 </b> : Probability of a PSU being selected. PSUs were randomly selected using the PPS techniques separately for SCG and VFSG areas, drawn from a sample frame of all PSUs within evaluation sub-counties. <b> P1 </b> = Number of households in bandwidth in PSU/total number of households in badwidth in evaluation sub-counties <b> P2 </b>: Probability of being selected from the full list of treatment or comparison group households within a PSU (depending on whether household was a treatment or comparison household) <b> P2 </b>= Number of sampled treatment or control households in PSU/total number of treatment or control households in PSU The final probability of a household being selected for the SAGE baseline survey was calculated by combing <b> P1</b> & <b>P2</b>, as follows: Probability of selection = <b> P1 x P2 </b>. Thus, the final analytical weights applied to each household were constructed by taking the inverse of the probability of selection. Once data had been entered, the data was exported and sent to OPM. This data was checked in STATA, which produced a list of queries which were responded to by going back to field teams and households. Data was then revised and sent back to OPM to be checked once again. This whole process was repeated iteratively until all queries that could be resolved were. Irene Among Sarah Pannell Merttens, Oxford Policy Management. Evaluation of the Uganda Social Assistance Grants for Empowerment (SAGE) Programme: Impact after two years of programme operations 2012-2014. Ref. UGA_2012_SAGE-BL_v01_M. Dataset downloaded from [URL] on [date]. Public use files, accessible to all after registration The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. SAGE_HHWEIGHTSV2 Household Weights 4175 11 int_facilities1 Data from modules 2-4 of the community questionnaire 498 38 int_facilities2 Data from module 2 of the community questionnaire 498 232 int_markets1 Data from modules 2-4 of the community questionnaire 498 36 int_markets2 Data from module 4 of the community questionnaire 498 42 int_markets3 Data from module 5 of the community questionnaire 498 74 sage_fcsexpanded 33400 19 sage_foodsecintermed Food security 4175 34 sage_labourintermed Labor 17748 181 int_migration Migration 622 44 int_migration_HH Households with migrants 4175 15 int_welfare_hh Household welfare 3980 302 int_welfare_hhassets_productive Household assets 3980 17 int_welfare_hhlivestock Household livestock 3980 34 int_welfare_memdata Household members 21257 121 sage_anthrointermed Anthropometrics 2761 32 sage_comids Community ID 4175 7 int_cohesion_dec1 2724 18 int_cohesion_dec2 3643 18 int_cohesion_dec3 3622 18 int_cohesion_empow 3980 28 int_consexp 3975 427 int_demographics_hh Demographics (Household) 3980 40 int_demographics_mem Demographics (Members) 21257 189 int_access_school School attendance 8143 166 int_asset_index Asset index 3980 51 int_cohesion 3980 210 int_access_health Health 21257 149 int_access_health_hh Household health 3980 14 int_access_fin 3980 260 int_access_educ18plus Access to education 9212 148 household id household id household id household id household id 4175 10310301020014 41511408020164 Community ID Community ID Community ID Community ID Community ID 4175 1031030102 4151140802 District District District District District 4175 APAC KABERAMAIDO KATAKWI KIBOGA KYENJOJO MOROTO NAKAPIRIPIRIT NEBBI County County County County County 4175 CHEKWII JONAM KABERAMAIDO KALAKI KIBOGA KWANIA MARUZI MATHENIKO MOROTO MUNICIPALITY MWENGE PADYERE PIAN TOROMA USUK Sub-County Sub-County Sub-County Sub-County Sub-County 4175 ABONGOMOLA ADUKU AKOKORO ALWA ANYARA APAC ATEGO BUGAAKI BUTIITI CHAWENTE CHEGERE ERUSSI IBUJE KABERAMAIDO TOWN COUNCIL KAKOMONGOLE KALAKI KAPEKE KAPUJAN KATOOKE TOWN COUNCIL KIBOGA TOWN COUNCIL KIGARAALE KISOJO KITOOKE KUCWINY KYARUSOZI KYENJOJO TOWN COUNCIL MAGORO NABILATUK NADUNGET NAMBEISO NDHEW NEBBI TOWN COUNCIL NYANTUNGO OCHERO OMODOI PAKWACH PAKWACH TOWN COUNCIL PANYANGO PANYIMUR RUPA SOUTH DIVISION TOROMA USUK Parish Parish Parish Parish Parish 4175 AAKUM ABALANG ABANY ABAR EAST ABAR WEST ABEDI ABINDU WARD ABOKO ABONGO ABULI ABWOKODIA ABWONG ACABA ACEGERETOLIM ACENLWORO ACHERER ACHUNGI ADEM ADOLO ADYEDA AGANGA AGONG AJAR AKALI AKERE AKETO AKOKORO AKURAO AKUYAM ALARO ALIDO ALIRA ALWOROCENG AMII- AMILO AMII-ABERIDWOGO AMOR WARD AMOR WEST AMORIGOGA AMUN AMUSIA ANGODINGODI ANWANGI ANYARA AORNGA APARISIA APIRE APOI APUUTON ASURET ATANA ATIGOLWOK ATIK ATONGTIDI ATOPI ATULE ATYAK AWILA AYABI AYAGO AYEOLYEC BAMUSUUTA WARD BARAHIIJA BARODILO BORO BUCUNI WARD BUNG BURARRO BUSANZA BUTARA BUTIITI BUZIBWEERA WARD BWENZI CAMPSWAHILI JUU CAMPSWAHILLICHIN CENTRAL WARD CHEGERE CHELEUKO ENJERU ETEKOBER FOREST WARD GANDA HAKATOMA HIMA ILEE ISANDARA JUKIA WARD KABAALE KADINYA KAFUNDA PARISH KAGAA KAGOBE KAIHURA KAKERE KAKINDO KALAKI KALOKWAMERI KAMENU KAMUDA KANYALAM KAPUJAN KASABA KASEGA KASENYI KATAMBALE KATARA WARD KAYEERA KIBIRA KIBOGA TOWN WARD KIDILANI KIGOYERA KIGUNDU KIHUMIRO KIJUMA KIKODA KINOGERO PARISH KIRONGO WARD KIRULUMBA WARD KISOJO KITONGOLE KITONYA KIVUJE KOKORIO KORITOK KORYAMO KOTHIKE KUNGU KYABAGONZA KYABARANGA KYAKATWIRE KYAMITARA KYAMUGENYI KYAMUTASA KYANYABONGO WARD KYAYIMBA KYONGERA LOBODEGI LOBUNEIT LOKAALA LOPUTUK LOTIRIR MABAALE MAGORO MAJENGO MIRAMBI MITOMA MOGOTH MORUANGIBUIN MUKALE MUKUNYU MWARO WARD MYERI PARISH NABOLITH NADUNGET NAITAKWAE NAKADELI NAKOBEKOBE NAMRWODO WARD NAMTHIN WARD NATOPOJO NEBBI HILL WARD NSINDE NTOMA NYACARA WARD NYAIBANDA NYAKAGEI NYAKISI PARISH NYAMABUGA OGWIL OGWOLO OLAGO OLOLANGO OLYEJO OMID OMINYA OMWIBALE ONGEMA ONGICIA ONGOCENG OPETA ORIMAI OWEKO OWINY PACEGO PACHAKA PADOLO PAJUR PAKIA PALATAU PAMINYA LOWER PAMINYA UPPER PAMITU PAMORA UPPER PAROKETO PAYERA POKWERO PUNUATAR PUPU PUVUNGU CENTRAL PUVUNGU WEST RAMOGI RUBANGO RUHOKO RUPA RWAITENGYA RWAMUKOORA SWAGERE TAROGALI TEBOKE TEI-ORO THATHA WARD TOKORA TOROMA USUK VURR Village Village Village Village Village 4175 ABAKRA ABALANG ABALOKWERI ABATA ABEDO-BER ABOKET ABOLOKOMA ABONGORWOT ABORO WEST ABURU ABUTI ACAMIDAKO ACAMUCABO ACAN PII ACANDEK ACEKITOYO ACELEL ACHOLI INN ACUNA ACUR ACWERA ADAK A ADAROKOT ADOK .B ADURUKOI ADYANG A ADYEGI D AGULE AGURI AGURI A AGUYA AGWA AGWENG AJIN AJOADOK B AJOK AKELLA TRC AKESI AKISIM AKOKO DAKO AKOKOMA AKOLODONG AKOT B AKPOYA AKWAKEL AKWORO ALADO ALEBTONG ALELES ALENGO ALER ALONG A ALUKA CENTRAL ALURU AMALERA AMECA AMELENJU AMINTENG AMORU AMOTOT AMUKURAT AMULI AMULO AMUN - B AMUNIMIAPI AMWAK AMWANGA AMWONYOCAO B ANENOBER ANGANGUTI ANGAYIKI ANGEKI B ANGEO KOMA ANGIC ANGINY ANGIR ANGUMU ANYAI A ANYANGA ANYWAL AOYA A APELE APIDYANG A APIRE TRC APOLIKA APULE APUUTON APWORI ARENGEKEJU ARENGESIEP ARIAMAOI ARIAMARENG WEST ATEDEOI ATHELE ATIDU ATINGLAKI ATOPI TRC ATUMA ATWEI AWARADI AWIMON AWIR AYAGO CENTRAL AYAGO LOWER AYERA AYIKI B AYILA BAMA B BAMUSUUTA BAR BUNG BAR-ADU BAR-OPOK A BARAHIIJA BAROKWORO BIRENGA BOMA BUHISI/NYARUGONGO BUSANZA BUSASA BUZIBWEERA A BUZIBWEERA B BWERA BWEREME BYARA CAMPSWAHILLICHIN CENTRAL CUCU DEI A DEI C ELING ENJERU GALIRAAYA GO DOWN GOT ALI HARWOMA IGOMA B IGOTI CENTRAL IKAMIRO ISOROMA ISUNGA NYAKAKOKO IWAL JALAKECH JAPIEMONEN CENTRAL JUPALA CENTRE JUPALANGA JUPALEJA JUPANYANGIL JUPUGETA LOWER JUPUNGULU KABAGUNDA KABAKANJAGALA KABATOORO KABUYANDA KAGONDO KAINO B KAJUMA KAJUMA-NTUNTU KAKAWOI B KAKERE KAKONI B KALANGALA KALOI KALOPWANYA KAMANA A KAMERA KANYINYI UPPER KARONGO KARUBONGOYE KASABA C KASEGA KASENYI KASUKU KASWA KATAMBALE KATANGA KATARA KATEMBE A KATINGI KATOOSA KELIM I KEOLU KIBOGA TOWN KIBURARA KIDE B KIDEPO KIGOYERA KIHOIGA KIIYA VILLAGE KIJUGO KIJWIGA KIKWETE KIMORO KINDEKE KINYERE KIRONGO KIRONGO B KIRULUMBA KISOJO KISUGA KITEMBE KITONKYA KIYAYA EAST KOCHUNOI KOTARUK KOTHONGOLA KUBBI KUCWINY TR CENTRE KULUBER KYAATO KYABAGONZA KYABIGANJA KYABOROBYA KYAKABOYO KYAKATUMBA KYAMULIMI KYANIKA KYANYAMA KYANYAMUTALE KYARUTWE KYAYIMBA KYEMBOGO KYETUME A LAJJO LAJUNG LANGODYANG LENG CONGI LODOOI LOKAAL LOKAALE LOKABOCHET LOKORETE LOLETEKIA LONANGAT LONGOROKO LONYASAN LOOI LOOYAKARAMAWEI LOPUR LOSIMIT/NAPAO LUFULA LUGA LUWUNGA A LWALA LYAMUGUMBA MADI UPPER MAGORO CENTER MAJENGO B MAMBI MIRAMBI MIRAMBI NTUNGO MISENYI MITOMA A MPARO B MPONGO MPUNDA MUBOGO CENTRAL MUKOLE MUKUNYU CENTRAL MULIMA MUZIRANDURU MVULI MWARO A MWIBALE NACELE NACHELE NACHOGOROM NACHUKA NAKAMISITAE NAKAPELIMEN NAKORETE NAKUDEP NAMIJIMIJ NAMRWODO NANGORIKIPI NANGORIT NAPAYAN NAPONGAE/KATHIAPUS NARUKENY/NAMIDIKAO NATAARI NATAPARAARENGAN NATENGEREBET NATOPOJO NDAMA NJAU NTOROKO ROAD NYABUSOZI NYAKAHAAMA NYAKATI NYAKIRO SOUTH NYAMBEHO NYAMUKINDU NYAMUTAGANA B NYAMWENDO NYANTUNGO B NYARUBINGO NYARUGALO NYARUKOMA NYARUTUNTU OBALONGWEN OBANGA NGEO OBIA OBIRAI OBONGODERO ODINGO I ODODOI ODOKUNA OIDOTONGOLE OIMAI OKEBBU OKICIRA OKONGO OKORIO OKUTAGWE .A OKWOT OLANYOTAI OLEKO OLELPEK OLIO OLOKOKWOME OLUMA I A OMID AMORU OMODOI OMOL OMOYO NORTH OMUSUGUN B ONGATUNYO-OMINYA ONGEMA ONGOROMO OPENO ORIWO ACWERA B ORYANG OSUGURO OTAL IMALO OTORONGOLE A OWANG OWOI EAST PA WONG PIDA PACER PACER EAST PAJAO LOWER PAKECH SOUTH PALYEC PARWATH PIDA PUJWANG EAST PUMVUGA EAST PUNUATAR.A PUPU RAMOGI RIVER RUBANGO A RUBONA RUGOMBE NYAMASOBYA RUKIZI I RUMBA RUPAMISSING RWAITEGYA RWAKASAIJA RWAMUGONERA RWENKUBA RWENTALE SINGLA B TE-OPOK TEBOKE TEITEK THATHA TOIBONG TORO TOROMA OBONGUT TRADING CENTRE TYENDMANDIR UNJUKU UPPER WANKADO EAST WIDAM WIDYANGA WIGWENG WIGWENG A Targeting Method Targeting Method Targeting Method Targeting Method Targeting Method 4175 OAG VFSG ELIGILITY STATUS ELIGILITY STATUS ELIGILITY STATUS ELIGILITY STATUS ELIGILITY STATUS 4175 Eligible Ineligible Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse 4175 1.535 53.398 Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse 4175 1.389 42.718 serial number serial number serial number serial number serial number 498 1 999 com id com id com id com id com id 498 1031030102 4151140802 village village village village village 498 ABAKER ABALANG ABALORWERI ABATA ABEDO-BER ABILNINO ABOKET ABOLOKOMA ABON GORWOT ABORO WEST ABURU ABUTI ACADO CENTRAL ACAMIDAKO ACAMUCAIBO ACAN PII ACANDEK ACEKITOYO ACELEL ACHOLI INN ACUNA ACUR ACUTOMER ACWERA ADAKA ADAROKOT ADISIBABA ADODOI ADOK.B ADURUKOI ADYANGA ADYEGID AGIKI AGENGO AGULE AGURI AGURI A AGUYA AGWA AGWENG AJIN AJOADOK B AJOK AKADO WEST AKAPOYA AKELLA TRC AKESI AKISIM AKOKO DAKO AKOKOMA AKOLODONG AKOT B AKWAKEL AKWORO ALADO ALEBTONG ALEGO ALELES ALER ALONGA ALUKA CENTRAL ALUPERE CENTRAL ALURU AMALERA AMECCA AMEKENJU AMIDA AMITENG AMOR AMORU AMOTOT AMUKURAT AMULI AMULO AMUN B AMUNIMAPI AMWAK AMWANGA AMWONYOCAO B ANENOBER ANGANGUTI ANGAYIKI ANGEKI B ANGEOKOMA ANGIC ANGINY ANGIR ANGUMU ANYAI A ANYANGA ANYENA WEST ANYWAG AOYA APELE APIDYANGA APIL EAST APIRE TC APOLIKA APULLE APUUTON APWORI AREBGESEP ARENGEKEJU ARIAMAYENY WEST ARIMAOI ATEDEOI ATENGE ATHELE ATIDU ATINGLAKI ATOK ATOPITRC ATUMA ATWEI AWARADI AWIMON AWIR AYAGO CENTRAL AYAGO LOWER AYERA AYIKI B AYILA AYWEE GARAGARA AYWEE-LABUCE BAMA B BAMUSUUTA BAR BUNG BAR-ADU BAR-OPOKEA BARAHIJA BAROKWORO BIRENGA BOMA BUBALE BUBBUBULI BUGOBI 2 BUGULISI-BUTALENGA BUGWALA BUHISI BUKAAYA BUKAPERE B BUKYATIFU BULINDI BULUBZNDI BUMAABI BUMEGERE A BUMYUUKE-EAST BUNANGWE BUNANGWE-BUYOBO BUNGA BUSABURA BUSANGA BUSANZA BUSASA BUSIGE BUTONTI BUWAATE BUWALUKA BUYEGO BUZIBWEERA A BUZIBWERA B BWERA BWERA II BWEREME BYARA CAMPSWAHILI CHIN CENTRAL CUCU DEA DEI C DOUGLAS ELING ENJERU FOREST GALIRAAYA GODWIN GOT ALI HARWOMA IDHALA IGOMA B IGOTI CENTRAL IKAMIRO ISOROMA ISUNGA NYAKAKOKO ITUKULU-BUKAYA IWAL JALAKECH JAPIE MONEN CENTRAL JUPALA CENTER JUPALANGA JUPALESA JUPANYANGIL JUPUGETA LOWER JUPUNGULU KABAALA KABAGUNDA KABAKANJAGALA KABATORO KABINGO II KABIRIZI KABURASOICE A KABURISOKE K KABUYANDA KADUNGU KAINOB KAJUMA KAJUMA-NTUMTU KAKAWOIB KAKERE KAKONGO KAKONI B KAKOOGE B KALANGALA KALOI KALOPWANYA KAMANA A KAMARERE KAMERA KANGONDO KANYINYI UPPER KARONGO KARUBONGOYE KARUBUGUMAI KASABA C KASEGA KASENYI KASUKU KASWA KATAMBALE KATANGA KATARA KATEMBEA KATINGI KATOOSA KAWULE EAST KEISINGOLL KELIMI KEOLU KIBEDO IPOO KIBOGA TOWN KIBURARA KIDEB KIDEPO KIDHOGWAA KIGOYERA KIHOIGA KIJUGO KIJWIGA KIKWETE KIMORO KINDEKE KINYERE KIRONGO KIRONGOB KIRULUMBA KISOJO KISUGA KITEMBE KITONKYA KIYAYA EAST KOCHUNOI KOKIL KOTARUK KOTHONGOLA KUBBI KUCWINY KULAKA OBUR KULO OCWIJI KULUMBER KUYA KWAITEGYA KYAATO KYABAGONZA KYABIGANJA KYABOROBYA KYABYOMA B KYAKABOMBO KYAKABOYO KYAKATUMBA KYAMULIMI KYANIKA KYANYAMA KYANYAMUTALE KYARUTWE KYAYIMBA KYEMBOGO KYETUMEA LAI WEST/ LAI CENTRAL LAJJO LAJUNG LALA KALE LALURONYOL LAMWO LANGODYANG LENGCONGI LIKOO LODOOI LOKAAL LOKAALE LOKABOCHET LOKORETE LOLETEKIA LOLNAGAI LONGOROKO LONYABAN LOOI LOOYAKARAMAWEI LOPUR LOSIMIT/NAPAD LUFULA LUGA LUKALOYE B LUKWOR LUWUNGA A LWALA LWANDAMA LYAMUGUMBA LYENGOMAI MADDI UPPER MAGORO MARKET MAJENGO.B MAMBI MASANGI MIRAMBI MIRAMBI NTUNGO MISEYI MISSION WARD MITOMA A MPAROB MPOPNGO MPUNDA MUBOGO MUKOLE MUKUNYU CENTRAL MULIMA MUSUPO MUZIRANDURU MWARO A MWIBALE MWILI NABIGAGA NABYETEREKA NACELE NACHELE NACHOGOROM NACHUKA NAKALANGA NAKAMISTAE NAKAPELIMEN NAKAWA B NAKORETE NAKUDEP NAMIJIMIJ NAMRWODO NAMUNSAALA NANGORIKIPI NANGORIT NAPAYAN NAPONGAE/KATHIAPUS NARUKENY/ NAMIDIKAO NATAARI NATAPAR ARENGAN NATENGEREBET NATOPOJO NDAIGA NDAMA NJAU NKINGO NSIIMA NTOROKO ROAD NYABUSOZI NYAKAHAMA NYAKATERAMIRA B NYAKATI NYAKIRO SOUTH NYAMBEHO NYAMUKINDU NYAMUKOIJO B NYAMUTAGANA B NYAMWENDO NYANTUNGO B NYARUBINGP NYARUGALO NYARUKOMA NYARURAMBI NYARURUMBI NYARUTUNTU OBALONGWEN OBANGA NGEO OBIA OBIRAI OBONGODERO OBURAMA OCHOYO LAMERO ODINGOI ODOKUNA ODOM EAST OGATUNYU MWAYA OIDOTONGOLE OIMAI OKEEBU OKIGRA OKONGO OKORIO OKUTAGWE OKWOT OLANYOTAI OLEKO OLELPEK OLIO OLOKOKWOME OLUMAIA OMID AMORU OMODOI OMOL OMOYO NORTH OMUSUGUN B ONGAKO ONGEMA ONGOROMO OPENO ORANG ORIWO ACWERA B OSUGURO OTAL IMALO OTORONGOLEA OWANG CELL OWIO EAST PACER PACER EAST PAJAO LOWER PALYEO PARWATH PAWONG PIDA PIDA POKEJA SOUTH PUJWANG PUMVUGA EAST PUNUTARA PUPU RACKOKO CENTER RAMOGI RIVER RUBANGO.A RUBAZI RUBONA RUGOMBE RUHIGA RUKIZI1 RUMBA RWAKASAIJA RWAMUGONERA RWEMIRAMA RWENKUBA RWENSIKIZA RWENTALE SAZA ROAD SINGILA B SUB DISTRICT TE-OPOK TEBOKE TEITEK TEKWORO TEO KWANG THATHA TOIBONG TORO TOROMA OBONGUET TRADING CENTER TYENDMANDIR UNJUKU UPPER WALUKUNYU WANGDUKU CENTRAL WANKADO WEST WIDAM WIDYANGA WIGWENG WIGWENGA date of interview date of interview date of interview date of interview date of interview 491 7 12 311012 date of verification date of verification date of verification date of verification date of verification 292 206 10912 311012 editor code editor code editor code editor code editor code 391 107 1 95 date of editing date of editing date of editing date of editing date of editing 393 105 6112 311012 gps cordinates - north gps cordinates - north gps cordinates - north gps cordinates - north gps cordinates - north 497 00.00.328 00.01.474 00.01.961 00.02.609 00.03.499 00.05.034 00.05.147 00.05.711 00.07.372 00.08.482 00.10.318 00.10.350 00.10.391 00.12.248 00.12.347 00.12.449 00.15.250 00.18.109 00.21.773 00.23.188 00.24.015 00.24.447 00.24.704 00.24.761 00.25.006 00.25.007 00.25.097 00.25.116 00.26.669 00.29.135 00.29.308 00.29.354 00.30.088 00.30.485 00.30.834 00.31.405 00.32.045 00.32.507 00.33.443 00.33.575 00.33.602 00.34.363 00.34.565 00.35.030 00.35.589 00.35.885 00.36.660 00.36.803 00.37.256 00.37.720 00.37.744 00.38.117 00.38.121 00.38.548 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02.36.265 02.37.064 02.37.089 02.42.526 02.42.955 02.43.579 02.44.032 02.44.693 02.45.068 02.45.873 02.46.278 02.46.357 02.49.417 02.49.670 02.51.543 02.52.189 02.52.921 02.54.334 02.57.530 02.59.076 03.00.396 03.00.763 03.01.934 03.02.019 03.02.097 03.02.181 03.02.197 03.02.311 03.02.615 03.02.619 03.02.624 03.03.159 03.04.614 03.07.243 03.07.743 03.08.607 03.08.648 03.13.417 03.56.849 10.50.058 gps cordinates - east gps cordinates - east gps cordinates - east gps cordinates - east gps cordinates - east 497 030.040.17 034.000.32 30.17.304 30.17.504 30.18.620 30.20.627 30.22.513 30.22.881 30.23.475 30.23.536 30.23.879 30.24.077 30.25.494 30.26.244 30.26.407 30.26.524 30.26.814 30.26.953 30.27.177 30.27.469 30.27.633 30.27.720 30.27.906 30.28.082 30.28.561 30.28.936 30.29.127 30.29.807 30.29.893 30.30.098 30.30.355 30.30.530 30.30.722 30.30.958 30.31.536 30.31.846 30.32.115 30.32.536 30.33.162 30.33.328 30.33.334 30.33.506 30.33.662 30.33.734 30.33.761 30.33.765 30.33.786 30.33.913 30.34.022 30.34.148 30.34.189 30.34.219 30.34.353 30.34.388 30.34.523 30.34.610 30.34.623 30.34.893 30.34.936 30.35.160 30.35.254 30.35.731 30.35.845 30.35.895 30.36.180 30.36.397 30.36.830 30.36.914 30.37.021 30.37.150 30.37.286 30.37.739 30.37.897 30.37.914 30.38.043 30.38.205 30.38.431 30.38.471 30.38.574 30.38.639 30.39.033 30.39.089 30.39.703 30.39.763 30.39.781 30.39.856 30.39.910 30.40.270 30.40.360 30.40.543 30.40.653 30.40.817 30.40.978 30.41.135 30.41.192 30.41.387 30.41.408 30.41.544 30.42.673 30.42.916 30.42.971 30.43.227 30.43.708 30.43.709 30.43.962 30.44.136 30.44.463 30.44.542 30.44.788 30.45.146 30.46.031 31.03.724 31.03.997 31.04.123 31.04.528 31.04.657 31.04.761 31.04.907 31.04.925 31.04.996 31.05.024 31.05.056 31.05.237 31.05.380 31.05.491 31.05.514 31.05.615 31.05.650 31.05.711 31.05.752 31.05.860 31.05.938 31.05.943 31.06.161 31.06.263 31.06.762 31.07.044 31.07.166 31.07.207 31.07.312 31.07.699 31.07.728 31.07.733 31.07.754 31.07.903 31.08.122 31.08.639 31.08.937 31.09.324 31.09.720 31.10.688 31.10.970 31.11.307 31.11.504 31.11.614 31.11.827 31.11.848 31.12.434 31.12.900 31.13.090 31.13.676 31.14.359 31.16.253 31.16.733 31.16.812 31.16.932 31.17.142 31.17.386 31.17.916 31.18.214 31.18.471 31.18.919 31.19.559 31.19.913 31.22.991 31.23.813 31.23.944 31.24.422 31.24.757 31.25.303 31.26.347 31.26.764 31.27.115 31.27.242 31.27.285 31.27.295 31.27.371 31.27.400 31.27.506 31.27.536 31.27.569 31.27.683 31.28.462 31.28.755 31.29.348 31.29.638 31.31.071 31.31.126 31.45.231 31.45.774 31.45.943 31.45.974 31.46.006 31.46.019 31.46.164 31.46.393 31.47.328 31.48.394 31.49.646 31.50.107 31.58.858 32.07.952 32.10.836 32.13.586 32.15.563 32.15.727 32.17.197 32.18.060 32.18.286 32.19.479 32.21.215 32.21.677 32.22.015 32.22.032 32.22.197 32.22.582 32.22.685 32.22.983 32.23.122 32.24.177 32.24.314 32.25.370 32.25.824 32.26.436 32.27.060 32.27.074 32.27.461 32.27.696 32.28.014 32.28.041 32.29.064 32.29.173 32.29.295 32.29.318 32.29.549 32.29.850 32.30.112 32.30.549 32.30.769 32.31.129 32.32.344 32.32.481 32.32.572 32.32.798 32.32.822 32.33.062 32.33.212 32.34.425 32.34.642 32.34.911 32.35.508 32.35.893 32.36.497 32.36.700 32.36.897 32.36.918 32.37.044 32.37.519 32.38.321 32.38.465 32.39.682 32.40.425 32.40.652 32.41.255 32.41.447 32.41.486 32.41.949 32.41.973 32.42.008 32.42.390 32.43.022 32.43.536 32.43.831 32.43.973 32.44.152 32.44.519 32.44.577 32.45.065 32.45.122 32.45.302 32.45.492 32.45.589 32.45.941 32.46.372 32.46.377 32.47.194 32.47.419 32.47.463 32.47.615 32.49.024 32.49.054 32.49.121 32.49.229 32.49.412 32.51.079 32.51.169 32.51.407 32.51.444 32.51.896 32.52.719 32.52.740 32.52.915 32.53.373 32.53.409 32.54.355 32.54.374 32.54.830 32.55.207 32.55.421 32.55.491 32.56.528 32.57.002 32.57.403 32.57.595 32.58.558 32.58.976 32.59.842 33.00.189 33.00.749 33.01.129 33.01.641 33.03.423 33.04.094 33.04.368 33.04.419 33.04.430 33.04.663 33.04.748 33.05.462 33.05.669 33.05.686 33.06.025 33.06.068 33.06.474 33.06.790 33.07.044 33.07.354 33.07.410 33.07.425 33.07.569 33.07.710 33.08.272 33.08.696 33.08.911 33.08.947 33.09.449 33.09.738 33.09.792 33.09.812 33.09.887 33.11.165 33.11.569 33.12.131 33.12.706 33.13.087 33.13.435 33.14.266 33.14.343 33.15.226 33.15.236 33.15.316 33.15.358 33.15.552 33.15.587 33.15.820 33.16.479 33.16.547 33.16.558 33.16.808 33.16.927 33.17.216 33.17.897 33.18.122 33.18.485 33.19.015 33.19.064 33.19.513 33.20.083 33.20.252 33.20.852 33.20.962 33.20.964 33.21.517 33.21.779 33.21.896 33.22.123 33.22.232 33.22.309 33.22.450 33.22.519 33.22.639 33.23.993 33.24.922 33.25.140 33.25.620 33.26.046 33.27.891 33.27.892 33.29.089 33.29.214 33.31.581 33.52.410 33.52.541 33.55.740 33.55.754 33.56.427 33.57.037 33.57.156 33.57.322 33.57.546 33.57.757 33.57.801 33.58.257 33.58.379 33.59.148 33.59.330 33.59.502 33.59.566 33.59.748 33.59.785 34.01.742 34.02.912 34.03.693 34.04.437 34.04.591 34.05.106 34.05.153 34.05.377 34.05.960 34.06.084 34.06.163 34.06.969 34.31.015 34.31.988 34.32.311 34.32.532 34.32.793 34.33.273 34.33.438 34.33.620 34.33.803 34.34.107 34.34.187 34.34.304 34.34.444 34.34.489 34.34.528 34.34.540 34.34.969 34.35.208 34.35.428 34.35.572 34.35.948 34.36.345 34.36.589 34.36.622 34.36.630 34.36.683 34.36.929 34.36.970 34.37.159 34.37.211 34.37.274 34.37.295 34.37.352 34.37.631 34.37.654 34.37.696 34.38.037 34.38.066 34.38.285 34.38.609 34.38.633 34.38.657 34.38.704 34.38.717 34.39.251 34.39.261 34.39.607 34.39.722 34.40.743 34.40.909 34.41.306 com2 q5:does this lc1 have a road that is accessible by motor vehicle all year r com2 q5:does this lc1 have a road that is accessible by motor vehicle all year r com2 q5:does this lc1 have a road that is accessible by motor vehicle all year r com2 q5:does this lc1 have a road that is accessible by motor vehicle all year r com2 q5:does this lc1 have a road that is accessible by motor vehicle all year r 498 1 2 1 2 com2 q5:does this lc1 have a road that is accessible by motor vehicle all year round (km)? com2 q6 how far from this lc1 is the nearest trunk road – murram(km)? com2 q6 how far from this lc1 is the nearest trunk road – murram(km)? com2 q6 how far from this lc1 is the nearest trunk road – murram(km)? com2 q6 how far from this lc1 is the nearest trunk road – murram(km)? com2 q6 how far from this lc1 is the nearest trunk road – murram(km)? 498 998 com2 q7 how far from this lc1 is the nearest trunk road – tarmac(km)? com2 q7 how far from this lc1 is the nearest trunk road – tarmac(km)? com2 q7 how far from this lc1 is the nearest trunk road – tarmac(km)? com2 q7 how far from this lc1 is the nearest trunk road – tarmac(km)? com2 q7 how far from this lc1 is the nearest trunk road – tarmac(km)? 498 394 com2 q8 how far is this lc1 from the district headquarters(km)? com2 q8 how far is this lc1 from the district headquarters(km)? com2 q8 how far is this lc1 from the district headquarters(km)? com2 q8 how far is this lc1 from the district headquarters(km)? com2 q8 how far is this lc1 from the district headquarters(km)? 498 0.2 115 com2 q9 how far is this lc1 from the nearest municipality(km)? com2 q9 how far is this lc1 from the nearest municipality(km)? com2 q9 how far is this lc1 from the nearest municipality(km)? com2 q9 how far is this lc1 from the nearest municipality(km)? com2 q9 how far is this lc1 from the nearest municipality(km)? 495 3 241.8 com2 q10 how far is this lc1 from kampala(km)? com2 q10 how far is this lc1 from kampala(km)? com2 q10 how far is this lc1 from kampala(km)? com2 q10 how far is this lc1 from kampala(km)? com2 q10 how far is this lc1 from kampala(km)? 492 6 800 com3 q1 "agricultural wages per person per day for men (ugx) " com3 q1 "agricultural wages per person per day for men (ugx) " com3 q1 "agricultural wages per person per day for men (ugx) " com3 q1 "agricultural wages per person per day for men (ugx) " com3 q1 "agricultural wages per person per day for men (ugx) " 496 2 1000 999998 com3 q2 "agricultural wages per person per day for women (ugx) " com3 q2 "agricultural wages per person per day for women (ugx) " com3 q2 "agricultural wages per person per day for women (ugx) " com3 q2 "agricultural wages per person per day for women (ugx) " com3 q2 "agricultural wages per person per day for women (ugx) " 494 4 500 999998 com3 q3 "non-agricultural wages per person per day for men (ugx) " com3 q3 "non-agricultural wages per person per day for men (ugx) " com3 q3 "non-agricultural wages per person per day for men (ugx) " com3 q3 "non-agricultural wages per person per day for men (ugx) " com3 q3 "non-agricultural wages per person per day for men (ugx) " 493 5 999998 com3 q4 "non-agricultural wages per person per day for women (ugx) " com3 q4 "non-agricultural wages per person per day for women (ugx) " com3 q4 "non-agricultural wages per person per day for women (ugx) " com3 q4 "non-agricultural wages per person per day for women (ugx) " com3 q4 "non-agricultural wages per person per day for women (ugx) " 476 22 999998 com4 "q6:how many limited consumer outlets (shops) are there in this lc1?" com4 "q6:how many limited consumer outlets (shops) are there in this lc1?" com4 "q6:how many limited consumer outlets (shops) are there in this lc1?" com4 "q6:how many limited consumer outlets (shops) are there in this lc1?" com4 "q6:how many limited consumer outlets (shops) are there in this lc1?" 497 1 500 com4 "q7:how many boda-boda (motorcycle) drivers are stationed in this lc1?" com4 "q7:how many boda-boda (motorcycle) drivers are stationed in this lc1?" com4 "q7:how many boda-boda (motorcycle) drivers are stationed in this lc1?" com4 "q7:how many boda-boda (motorcycle) drivers are stationed in this lc1?" com4 "q7:how many boda-boda (motorcycle) drivers are stationed in this lc1?" 497 1 120 com4 "q8:what is the cost of a one way journey for one person to the sub-county com4 "q8:what is the cost of a one way journey for one person to the sub-county com4 "q8:what is the cost of a one way journey for one person to the sub-county com4 "q8:what is the cost of a one way journey for one person to the sub-county com4 "q8:what is the cost of a one way journey for one person to the sub-county 498 7 999998 com4 "q8:what is the cost of a one way journey for one person to the sub-county centre by boda-boda? " remmarks remmarks remmarks remmarks remmarks 82 0755554754 CHAIRMAN 0774839610/ISAIAH MUTAKA/KAHAMA EMMA 0774971205 0776333176 ABALANG WOMEN DONT WORK FOR NON-ARGRICULURAL WAGES ONLY MEN ABININO IS NOW ADMINISTRATED UNDER OMIYA PACWA SUB ABOA YAKO(LCI LAI WEST) 0756228928 ACAN MASILIANO (LCI) ODONG SELESTIONO ATIDO RONALD -VICE CHAIRPERSON BANURI GILBERT 0783053500 MUHEREZA ANTHONY BEKAMBA JOHN 0782312969 MUKIZA JOHNSON 0781662625 BETH MUTABASI-0775249751/APOLLO HABYARIMANA BUKERO TRADIN CENTER IS IN BETWEEN 3 VILLAGES THAT IS NABIAGA ,BULOBA,AND BUY FROM THE CENTER OF THIS LC1 TO THE DISTRICT HQS KYENJOJO GPS OF THE AREA TAKEN FROM LOCAL TRADING CENTER GPS TAKEN FROM LC1'S PLACE GPS TAKEN FROM LC1S HOME GPS TAKEN FROM LOCAL TRADING CENTER GPS TAKEN FROM LOCAL TRADING CENTER AROUND THE SHOPS GPS TAKEN FROM RIC'S HOME KAWULE EAST WAS EASTABLISHED TO UNDER BUTERE PARISH NOT KAKIRA PARISH KODONGO TOWN LALURONYOL VILLAGE IS NOW UNDER LATIN LING PARISH WHICH WAS DIVIDED FROM TEN LC HAD EARLY CHILD HOOD EDUCATION CENTER A YEAR AGO BUT STOPPED LC HAS A SERIOUS PROBLEM OF WATER THE ONLY BOREHOLE IS BROKEN LC1'S HOME LOCAL FC LOCAL TRADING CENTER LONGER HOURS TAKEN TO ACESS DIFFERENT PLACES BECAUSE ROADS TO SOME PLACES ARE MATOKE ARE NOT COMMON IN THE MARKET MR SWAIBU KASOWOLE DEFENCE NAKAPIRIPIRIT DISTRICT DOES NOT HAVE BANK BRANCH NON OF THE MEMBER HELD A PHONE NON-ARGRICULTURAL WAGES IS PAID TO WOMEN OKEDI MARCELO (LC1) OKELLO ROSALBA OKIDIR RAY 0787022815 OYUGI MASILIANO PEOPLE DONT INDULGE IN ANY ARGRICULTURAL WORK RAOD CLOSED BY SWAMP SINCE THE PRIVATE SCHOOL IS FAR CHILDREN DON'T REPORT TO SCHOOL EVERY DAY SUPPLY MOSQUITO NETS THE NEARBY GOVERNMENT SECONDARY IS BUGULUMBYA THE AREA DOESNT HAVE A PRIVATE OR GOVERNMENT PRIMARY SCHOOL THE AREA IS NOT EASILY ACCESSIBLE DUE TO SWAMPS THE CHAIMAN OF NAKALANGA LCI DOES NOT HAVE A PHONE THE CHAIR PERSON OF THE AREA HAD TRAVELLED TO IGAGA FOR MEDICATION THE CHAIR PERSON WAS NOT IN THE VILLAGE FOR A WEEK SO NO PARTICIPATION IN SU THE CHAIRMAN HAD GONE FOR BURIAL IN BUGIRI DISTRICT THE CHAIRMAN WAS NOT AROUND WHEN THE INTERVIEW WAS CONDUCTED THE CHAIRMAN WAS NOT AROUND SO HE DIDNT PARTICIPATE THE L.C CHAIRMAN DIDNT HAVE A PHONE CONTACT AND HE COULDNT RECALL CARE NUM THE L.C IS A TOUGH HILLY AREA COMPLETELY AWAY FROM CIVILASATION THE LC OF THIS VILLAGE WAS NOT AROUND SO I USED THE WIFE THE LCI CHAIRMAN LOST HIS PHONE BUT CAN BE CONTACTED THROUGH MR KIZITO THE LCI CHAIRMAN WAS ABSENT HE HAD GONE TO ATEND A WEDDING CEREMONY BUT I GOT THE LCI CHAIRMAN WAS PROMOTED TOLC3 AND THE VICE CHAIRPERSON THE LCI IS WALUKUNYU, WALUSI IS THE NEARBY TRADING CENTER THE LOCAL PRIMARY IS WESUNIRE AND THE PRIVATE IS AVAILABLE THE PARISH NMAE IS EASTWARD BUT NOT EASTERN THE PARISH WAS CHANGED TO LAWIYADUL FROM NGOTO THE PRIVATE CLINICS THAT ARE NEARBY ARE NEARBY ARE IN KIDERA TRADING CENTER THE ROADS IN THE VILLAGE HAVE ALOT OF WATER THE TRUE NAME OF THE PLACE IS SATA ZONE NOT SATA ROAD AS IT IS THE VILLAGE HD STARTED THE EARLY CHILDHOOD L THE VILLAGE IS AT THE SHORES OF LAKE KYOGA AND THE MAIN ACTIVITY IS FISHING THE VILLAGE IS IN KAKOOKGE TOWN COUCIL THAT IS WHY MOST ITEMS ARE PURCHACED THE VILLAGE IS WRITTEN AS ADODOI NOT ODODOI THE VILLAGE NAME IS ATENGE NOT ATEGE THE VILLAGE NAME IS TEKWORO NOT TERWORO AS IT APPEARED IN THE LIST THE VILLAGE OF ACUTOMER IS NO LONGER FOUND IN GEMONYET THE WOMEN OF ALURU VILLAGE DO NOT PARTICIPATE IN ANY CASUAL LABOUR WORK THERE IS NEITHER A PERIODIC NOR A PERMANENT MARKET IN THE LC BUT IN THE NEARB THERE IS NO GOVERNMEMT SECONDARY SCHOOL THIS VILLAGE IS NOW UNDER ADEMI PARISH BECAUSE IT WAS SPLIT FROM AGENGO PARIS TJE L.C WITH A COMMUNITY SEED BANK IN THE WHOLE OF NADANGED S/COUNTY TRANSPORT SYSTEM IS POOR DUE TO REMOTNESS VILLAGE HAS NO ROAD THAT CAN BE ACCESSED BY CAR OR BICYCLE VILLAGERS USE SHORT CUTS MOSTLY NOT MAIN ROAD WOMEN IN THIS AREA ARE NOT PAID IN NION -AGRICULTURAL ACTIVITY WOMEN IN THIS AREA DONT INVOLVE THEMSELF IN NON-ARGRICULTURAL ACTIVITY 498 . 000012 004112 010112 010912 011012 011112 011912 020912 021012 021112 030812 030912 031012 031112 040912 041012 041112 050912 051012 051112 060912 061012 061112 070912 071012 071112 071912 080910 080912 081012 081112 091012 091112 100912 101012 101112 110912 111012 111112 120113 120912 121012 121112 130912 131012 131112 140912 141012 150912 151012 160912 161012 170912 171012 180912 181012 190912 191012 200912 201012 210912 211012 220912 221012 230912 231012 240912 241012 250912 251012 260912 261012 270912 271012 280912 281012 290912 291012 300812 300912 301012 302912 310812 310912 311012 community with road accessible all year long community with road accessible all year long community with road accessible all year long community with road accessible all year long community with road accessible all year long 498 1 1 distance km to the district headquarter distance km to the district headquarter distance km to the district headquarter distance km to the district headquarter distance km to the district headquarter 498 0.2 115 distance km to the nearest truck road murram distance km to the nearest truck road murram distance km to the nearest truck road murram distance km to the nearest truck road murram distance km to the nearest truck road murram 497 1 180 distance km to the nearest truck road tarmac distance km to the nearest truck road tarmac distance km to the nearest truck road tarmac distance km to the nearest truck road tarmac distance km to the nearest truck road tarmac 498 394 District District District District District 498 APAC KABERAMAIDO KAMULI KAMWENGE KATAKWI KIBOGA KYENJOJO MOROTO NAKAPIRIPIRIT NAKASONGOLA NEBBI PADER County County County County County 498 AGAGO ARUU BUDIOPE BUGABULA BURULI BUZAAYA CHEKWII JONAM KABERAMAIDO KALAKI KIBALE KIBOGA KITAGWENDA KWANIA MARUZI MATHENIKO MOROTO MUNICIPALITY MWENGE PADYERE PIAN TOROMA USUK Sub-County Sub-County Sub-County Sub-County Sub-County 498 ABONGOMOLA ACHOLIBUR ADILANG ADUKU AKOKORO ALWA ANYARA APAC ATANGA ATEGO AWER BALAWOLI BUGAAKI BUGAYA BUGULUMBYA BULOPA BUTANSI BUTIITI BUYENDE BWIIZI CHAWENTE CHEGERE ERUSSI IBUJE KABERAMAIDO TOWN COUNCIL KAGULU KAHUNGE KAKOMONGOLE KAKOOGE KALAKI KALONGO KALUNGI KAMULI TC KAMWENGE KAMWENGE TC KAPEKE KAPUJAN KATOOKE TOWN COUNCIL KIBOGA TOWN COUNCIL KICHECHE KIDERA KIGARAALE KISOJO KISOZI KITAYUNJWA KITOOKE KUCWINY KYARUSOZI KYENJOJO TOWN COUNCIL LAGUTI LAPONO LIRA PALWO LUKOLE MAGORO MAHYORO MBULAMUTI NABILATUK NABISWERA NABWIGULU NADUNGET NAKASONGOLA TC NAMASAGALI NAMBEISO NAWANYAGO NDHEW NEBBI TOWN COUNCIL NKOMA NTARA NYABBANI NYANTUNGO OCHERO OMODOI OMOT PADER TC PAIMOL PAJULE PAKWACH PAKWACH TOWN COUNCIL PANYANGO PANYIMUR PARABONGO PATONGO PURANGA RUPA SOUTH DIVISION TOROMA USUK WANKOLE WOL Parish Parish Parish Parish Parish 498 AAKUM ABALANG ABANY ABAR EAST ABAR WEST ABEDI ABINDU WARD ABOKO ABONGO ABULI ABWOKODIA ABWONG ACABA ACEGERETOLIM ACENLWORO ACHERER ACHOL - PII ACHUNGI ADEM ADOLO ADYEDA AGANGA AGENGO AGONG AJALI AJAR AKALI AKERE AKETO AKOKORO AKURAO AKUYAM ALARO ALIDO ALIRA ALWOROCENG AMII- AMILO AMII-ABERIDWOGO AMOR WARD AMOR WEST AMORIGOGA AMUN AMUSIA ANGODINGODI ANWANGI ANYARA AORNGA APARISIA APIRE APOI APUUTON APWOR ASURET ATANA ATIGOLWOK ATIK ATONGTIDI ATOPI ATULE ATYAK AWILA AYABI AYAGO AYEOLYEC BALAWOLI BAMUSUUTA WARD BARAHIIJA BARODILO BIGODI BIGULI BORO BUCUNI WARD BUGANZA BUKUTU BUMOGOLI BUNG BUPANDHENGO BURARRO BUSANZA BUSIRIBA BUTARA BUTENDE BUTIITI BUZIBWEERA WARD BWENZI BWERA CAMPSWAHILI JUU CAMPSWAHILLICHIN CENTRAL WARD CHEGERE CHELEUKO EASTERN ENJERU ETEKOBER FOREST WARD GANDA GEM CENTRAL GEMONYOT GWASE HAKATOMA HIMA ILEE IRIMA ISANDARA JUKIA WARD KABAALE KABALE KABAMBIRO KABINGO KABURISOKE KADINYA KAFUNDA PARISH KAGAA KAGOBE KAIHURA KAKERE KAKET KAKINDO KAKIRA KAKOOGE KAKUNYU KALAKI KALENGEDDE KALOKWAMERI KAMENU KAMIRAMPANGO KAMUDA KAMULI NAMWENDWA KAMWENGE KANARA KANTOZI KANYALAM KAPUJAN KASABA KASAMBIRA KASEGA KASENYI KATAMBALE KATARA WARD KAYEERA KIBIRA KIBOGA TOWN WARD KICWAMBA KIDILANI KIGOYERA KIGUNDU KIHUMIRO KIJUMA KIKODA KINOGERO PARISH KIRONGO WARD KIRULUMBA WARD KISAIKYE KISOJO KITENY KITONGOLE KITONYA KITONZI KIVUJE KOKORIO KORITOK KORYAMO KOTHIKE KUNGU KYABAGONZA KYABARANGA KYAKATWIRE KYAMITARA KYAMUGENYI KYAMUTASA KYANYABONGO WARD KYAYIMBA KYONGERA LABWA LAGILE LAITA LAKWA LALAL LAPYEM LIRAKATO LOBODEGI LOBUNEIT LOKAALA LOPUTUK LOTIRIR LUNA LUZINGA MABAALE MAGOGO MAGORO MAJENGO MBULAMUTI MIRAMBI MITOMA MOGOTH MORUANGIBUIN MPAKITONYI MUKALE MUKUNYU MULAMBA MULONZI MUTTO MWARO WARD MYERI PARISH NABOLITH NABULEZI NADUNGET NAGAMULI NAIBOWA NAITAKWAE NAKABIRA NAKADELI NAKANDULO NAKOBEKOBE NAMAGANDA NAMISAMBYA II NAMRWODO WARD NAMTHIN WARD NATOPOJO NDOLWA NEBBI HILL WARD NGEKIDI NGOTO NSINDE NTAALA NTOMA NTONWA NYACARA WARD NYAIBANDA NYAKAGEI NYAKASURA NYAKISI PARISH NYAMABUGA NYAMASHEGWA OGWIL OGWOLO OLAGO OLOLANGO OLYEJO OMID OMINYA OMWIBALE ONGEMA ONGICIA ONGOCENG OPETA ORIMAI ORINA OWEKO OWINY PACABOL PACEGO PACER PACHAKA PADOLO PAJUR PAKEYO PAKIA PALATAU PALENGA PALUTI PAMINYA LOWER PAMINYA UPPER PAMITU PAMORA UPPER PAROKETO PARUMU PAYERA POKWERO PUNUATAR PUPU PUVUNGU CENTRAL PUVUNGU WEST RAMOGI RUBANGO RUGARAMA RUHOKO RUPA RWAITENGYA RWAMUKOORA RWENKUBEBE SWAGERE TAROGALI TEBOKE TEI-ORO TENGE THATHA WARD TOKORA TOROMA TOWN BOARD USUK VURR WESUNIRE Village Village Village Village Village 498 .AGIRIKASA/KIBEDO IPOO ABAKRA ABALANG ABALOKWERI ABATA ABEDO-BER ABOKET ABOLOKOMA ABONGORWOT ABORO WEST ABURU ABUTI ACAMIDAKO ACAMUCABO ACAN PII ACANDEK ACEKITOYO ACELEL ACHOLI INN ACUNA ACUR ACUT/AYWEELABUCE ACWERA ADAK A ADAROKOT ADOK .B ADULA/ACUTOMER SOUTH ADURUKOI ADYANG A ADYEGI D AGIKI AGENGO AGULE AGURI AGURI A AGUYA AGWA AGWENG AJIN AJOADOK B AJOK AKADO CENTRAL AKADO WEST AKELLA TRC AKESI AKISIM AKOKO DAKO AKOKOMA AKOLODONG AKOT B AKPOYA AKWAKEL AKWORO ALADO ALEBTONG ALELES ALENGO ALER ALONG A ALUKA CENTRAL ALUPERE ALURU AMALERA AMECA AMELENJU AMINTENG AMORU AMOTOT AMUKURAT AMULI AMULO AMUN - B AMUNIMIAPI AMWAK AMWANGA AMWONYOCAO B ANENOBER ANGANGUTI ANGAYIKI ANGEKI B ANGEO KOMA ANGIC ANGINY ANGIR ANGUMU ANYAI A ANYANGA ANYENA SOUTH/ANYENA WEST ANYWAL AOYA A APELE APIDYANG A APIL WEST/APIL EAST APIRE TRC APOLIKA APULE APUUTON APWORI ARENGEKEJU ARENGESIEP ARIAMAOI ARIAMARENG WEST ATEDEOI ATEGE ATHELE ATIDU ATINGLAKI ATOPI TRC ATUMA ATWEI AWARADI AWIMON AWIR AYAGO CENTRAL AYAGO LOWER AYERA AYIKI B AYILA BAMA B BAMUSUUTA BAR BUNG BAR-ADU BAR-OPOK A BARAHIIJA BAROKWORO BIRENGA BOLO DAM/LUKWOR OLOKOTUM BOMA BUBBUBBULU BUGOBI II/BUGOBI I/BUGANZA BUGULUSI-BUTALENGA/BUSELANDA-BUTADHI BUGWALA BUHISI/NYARUGONGO BUKYATIFU/BUGWANGA BULERI/BUBANDA/NSIIMA BULINDI BULONDO/BUFESA/BUKAAYA BULONDO/BUNANA/BUSIGE BULUBANDI BULWAMAZA/BUDHUDHU/BUBALE BUMEGERE 'A' BUNANGWE BUYOBO/BUSUBO-BUGABA BUNGA/ATUT ARWENY BUNYOGOLA/NAKALANGA BUSABURA BUSANGA B BUSANZA BUSASA BUTABAZI/NABIGAGA/BUYOKERO BUTONTI/BUNANGWE BUTUUMA/BUKAPERE B BUWALO/BUWAATE/BUKOSIYA/BUTOOLI BUWANGA/BUWALUKA/BULABE BUWOYA/BUTEKANGA/BUNAABI BUYEGO/BUKAIBALE/BUGANZA BUZIBWEERA A BUZIBWEERA B BWASE/BUNANGWE BWERA BWERA II BWEREME BYARA CAMPSWAHILLICHIN CENTRAL CUCU DEI A DEI C DURE NORTH/ADISABABA ELING ENJERU FOREST GALIRAAYA GO DOWN GOT ALI HARWOMA IGOMA B IGOTI CENTRAL IKAMIRO ISOROMA ISUNGA NYAKAKOKO ITUKULU-BUKAYA IWAL JALAKECH JAPIEMONEN CENTRAL JUPALA CENTRE JUPALANGA JUPALEJA JUPANYANGIL JUPUGETA LOWER JUPUNGULU KABAALA/ZABAZULA KABAGUNDA KABAKANJAGALA KABATOORO KABINGO II KABIRIZI KABURASOKE A/KABURAISOKE B KABURISOKE K KABUYANDA KADUNGU KAGONDO KAINO B KAJUMA KAJUMA-NTUNTU KAKAWOI B KAKERE KAKONI B KAKOOGE 'B' KALANGALA KALOI KALONGO/MISSION WARD KALOPWANYA KAMANA A KAMARERE KAMERA KANYINYI UPPER KARONGO KARUBONGOYE KARUBUGUMA I KASABA C KASEGA KASENYI KASUKU KASWA KATAMBALE KATANGA KATARA KATEMBE A KATINGI KATOOSA KAWULE EAST KEBISINGO II KELIM I KEOLU KIBALE NATIONAL PARK KIBOGA TOWN KIBURARA KIDE B KIDEPO KIDHOGWA B/KIDHOGWA A KIGOYERA KIHOIGA KIIYA VILLAGE KIJUGO KIJWIGA KIKWETE KIMORO KINDEKE KINYERE KIRONGO KIRONGO B KIRULUMBA KISOJO KISUGA KITEMBE KITONKYA KIYAYA EAST KIYUNGA/IDHALA KOCHUNOI KOTARUK KOTHONGOLA KUBBI KUCWINY TR CENTRE KULAKA OBUR/KULAKA-LELAJOK KULUBER KULUOWICH/ASEKENE KYAATO KYABAGONZA KYABIGANJA KYABOROBYA KYABYOMA 'B' KYAKABOMBWE KYAKABOYO KYAKATUMBA KYAMULIMI KYANIKA KYANYAMA KYANYAMUTALE KYARUTWE KYAYIMBA KYEMBOGO KYETUME A LAI CENTRAL/LAI WEST LAJJO LAJUNG LALAL WEST/DOUGLAS LALWOR- DONG/AYWEE GARAGARA LANGODYANG LARURONYOL LEGENG/CENTRAL LELA-PEE/LELA-KALE LENG CONGI LOBOROM/KOKIL LODOOI LOGILAKAWOLO/AMIDA LOKAAL LOKAALE LOKABOCHET LOKORETE LOLETEKIA LONANGAT LONGOROKO LONYASAN LOOI LOOYAKARAMAWEI LOPUR LOSIMIT/NAPAO LUFULA LUGA LUKALOYE B/LUKALOYE A/BAJERE LUKOO LUWUNGA A LWALA LWANDAMA LYAMUGUMBA LYENGOMA I MADI UPPER MAGORO CENTER MAJENGO B MAMBI MASANGI MIRAMBI MIRAMBI NTUNGO MISENYI MITOMA A MPARO B MPONGO MPUNDA MUBOGO CENTRAL MUKOLE MUKUNYU CENTRAL MULIMA MUZIRANDURU MVULI MWARO A MWIBALE NABYETEREKA/KANSIRYE NACELE NACHELE NACHOGOROM NACHUKA NAKAMISITAE NAKAPELIMEN NAKAWA B 'A' NAKORETE NAKUDEP NAMBALE/BUMYUUKA EAST/BUDUNGU NAMIJIMIJ NAMRWODO NAMUNSAALA/NAMUNKANGA NANGORIKIPI NANGORIT NAPAYAN NAPONGAE/KATHIAPUS NARUKENY/NAMIDIKAO NATAARI NATAPARAARENGAN NATENGEREBET NATOPOJO NDAIGA/IRIIMA NDAMA NJAU NTOROKO ROAD NYABUSOZI NYAKAHAAMA NYAKATERAMIRA 'B' NYAKATI NYAKIRO SOUTH NYAMBEHO NYAMUKINDU NYAMUKOIJO A/NYAMUKOIJO B NYAMUTAGANA B NYAMWENDO NYANTUNGO B NYARUBINGO NYARUGALO NYARUKOMA NYARURAMBI NYARUTUNTU OBALONGWEN OBANGA NGEO OBIA OBIRAI OBONGODERO OBURAMA ODINGO I ODODOI ODOKOMIT/ABILNINO ODOKUNA ODOM EAST OGLIL CENTRAL/ALYEM/TERWORO OIDOTONGOLE OIMAI OKEBBU OKICIRA OKONGO OKORIO OKUTAGWE .A OKWOT OLANYOTAI OLEKO OLELPEK OLIO OLOKOKWOME OLUMA I A OMID AMORU OMODOI OMOL OMOYO NORTH OMUSUGUN B ONGATUNYO-OMINYA ONGEMA ONGOROMO OPENO ORIWO ACWERA B ORYANG OSUGURO OTAL IMALO OTORONGOLE A OTUM-PILI/KAKONGO OWANG OWOI EAST OYUTU/LUBELE NORTH/AMOR PA WONG PIDA PACER PACER EAST PAJAO LOWER PAKECH SOUTH PALYEC PARWATH PIDA PUJWANG EAST PUMVUGA EAST PUNUATAR.A PUPU RACKOKO CENTRE RAMOGI RIVER RUBANGO A RUBAZI RUBONA RUGOMBE NYAMASOBYA RUHIGA RUKIZI I RUMBA RUPAMISSING RWAITEGYA RWAKASAIJA RWAMUGONERA RWEMIRAMA 'A' RWENKUBA RWENSIKIZA I RWENTALE SAZA ROAD SINGLA B SUB-DISTRICT TE-OPOK TEBOKE TEELUL/LAMWO TEITEK TEKANGO/OCHOYO LAMERO/NYERICAN TEO KWANG/KENYA THATHA TOIBONG TORO TOROMA OBONGUT TRADING CENTRE TUMALYEC/ONGAKO TYENDMANDIR UNJUKU UPPER WALUSI/WALUKUNYU WANGDUKU CENTRAL/WANGDUKU WEST/LAMII NORTH WANKADO EAST WIDAM WIDYANGA WIGWENG WIGWENG A Part 1 of villageid Part 1 of villageid Part 1 of villageid Part 1 of villageid Part 1 of villageid 498 10 20 21 30 31 41 Part 2 of villageid Part 2 of villageid Part 2 of villageid Part 2 of villageid Part 2 of villageid 498 01 03 12 13 14 21 22 23 31 32 34 35 51 52 54 73 74 81 82 91 Part 3 of villageid Part 3 of villageid Part 3 of villageid Part 3 of villageid Part 3 of villageid 498 01 02 03 04 05 06 07 08 09 10 11 12 14 Part 4 of villageid Part 4 of villageid Part 4 of villageid Part 4 of villageid Part 4 of villageid 498 01 02 03 04 05 06 07 08 09 10 11 12 Part 5 of villageid Part 5 of villageid Part 5 of villageid Part 5 of villageid Part 5 of villageid 498 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 24 25 28 29 37 com id com id com id com id com id 498 1031030102 4151140802 1 sno 1 sno 1 sno 1 sno 1 sno 498 1 999 1 fac_description 1 fac_description 1 fac_description 1 fac_description 1 fac_description 498 Government primary school 1 com2_q1 1 com2_q1 1 com2_q1 1 com2_q1 1 com2_q1 497 1 1 2 1 yes 2 no Sysmiss 1 com2_q2 1 com2_q2 1 com2_q2 1 com2_q2 1 com2_q2 331 167 18 1 com2_q3 1 com2_q3 1 com2_q3 1 com2_q3 1 com2_q3 332 166 1 998 1 walking 2 taxi (car) 3 boda-boda 4 bus/minibus 5 motorcycle 6 bicycle 7 boat 8 people do not use this facility 9 other 998 Sysmiss com2 q3:what is the common mode of transport used to reach the nearest [facility]? 1 com2_q3oth 1 com2_q3oth 1 com2_q3oth 1 com2_q3oth 1 com2_q3oth com2 q3:what is the common mode of transport used to reach the nearest [facility] - other? 1 com2_q4 1 com2_q4 1 com2_q4 1 com2_q4 1 com2_q4 332 166 2 998 com2 q4: how long does it take to reach the nearest [facility] using the mode of transport from center of this lc1(minutes)? 2 sno 2 sno 2 sno 2 sno 2 sno 498 1 999 2 fac_description 2 fac_description 2 fac_description 2 fac_description 2 fac_description 498 Private primary school 2 com2_q1 2 com2_q1 2 com2_q1 2 com2_q1 2 com2_q1 497 1 1 2 1 yes 2 no Sysmiss 2 com2_q2 2 com2_q2 2 com2_q2 2 com2_q2 2 com2_q2 337 161 34 2 com2_q3 2 com2_q3 2 com2_q3 2 com2_q3 2 com2_q3 335 163 1 998 1 walking 2 taxi (car) 3 boda-boda 4 bus/minibus 5 motorcycle 6 bicycle 7 boat 8 people do not use this facility 9 other 998 Sysmiss com2 q3:what is the common mode of transport used to reach the nearest [facility]? 2 com2_q3oth 2 com2_q3oth 2 com2_q3oth 2 com2_q3oth 2 com2_q3oth 1 PICK UP com2 q3:what is the common mode of transport used to reach the nearest [facility] - other? 2 com2_q4 2 com2_q4 2 com2_q4 2 com2_q4 2 com2_q4 337 161 2 998 com2 q4: how long does it take to reach the nearest [facility] using the mode of transport from center of this lc1(minutes)? 3 sno 3 sno 3 sno 3 sno 3 sno 498 1 999 3 fac_description 3 fac_description 3 fac_description 3 fac_description 3 fac_description 498 Government secondary school 3 com2_q1 3 com2_q1 3 com2_q1 3 com2_q1 3 com2_q1 497 1 1 2 1 yes 2 no Sysmiss 3 com2_q2 3 com2_q2 3 com2_q2 3 com2_q2 3 com2_q2 362 136 34 3 com2_q3 3 com2_q3 3 com2_q3 3 com2_q3 3 com2_q3 361 137 1 998 1 walking 2 taxi (car) 3 boda-boda 4 bus/minibus 5 motorcycle 6 bicycle 7 boat 8 people do not use this facility 9 other 998 Sysmiss com2 q3:what is the common mode of transport used to reach the nearest [facility]? 3 com2_q3oth 3 com2_q3oth 3 com2_q3oth 3 com2_q3oth 3 com2_q3oth com2 q3:what is the common mode of transport used to reach the nearest [facility] - other? 3 com2_q4 3 com2_q4 3 com2_q4 3 com2_q4 3 com2_q4 361 137 2 998 com2 q4: how long does it take to reach the nearest [facility] using the mode of transport from center of this lc1(minutes)? 4 sno 4 sno 4 sno 4 sno 4 sno 498 1 999 4 fac_description 4 fac_description 4 fac_description 4 fac_description 4 fac_description 498 Early childhood education centers/pre-primary scho 4 com2_q1 4 com2_q1 4 com2_q1 4 com2_q1 4 com2_q1 497 1 1 2 1 yes 2 no Sysmiss 4 com2_q2 4 com2_q2 4 com2_q2 4 com2_q2 4 com2_q2 329 169 34 4 com2_q3 4 com2_q3 4 com2_q3 4 com2_q3 4 com2_q3 328 170 1 998 1 walking 2 taxi (car) 3 boda-boda 4 bus/minibus 5 motorcycle 6 bicycle 7 boat 8 people do not use this facility 9 other 998 Sysmiss com2 q3:what is the common mode of transport used to reach the nearest [facility]? 4 com2_q3oth 4 com2_q3oth 4 com2_q3oth 4 com2_q3oth 4 com2_q3oth com2 q3:what is the common mode of transport used to reach the nearest [facility] - other? 4 com2_q4 4 com2_q4 4 com2_q4 4 com2_q4 4 com2_q4 327 171 2 998 com2 q4: how long does it take to reach the nearest [facility] using the mode of transport from center of this lc1(minutes)? 5 sno 5 sno 5 sno 5 sno 5 sno 498 1 999 5 fac_description 5 fac_description 5 fac_description 5 fac_description 5 fac_description 498 Health unit government 5 com2_q1 5 com2_q1 5 com2_q1 5 com2_q1 5 com2_q1 497 1 1 2 1 yes 2 no Sysmiss 5 com2_q2 5 com2_q2 5 com2_q2 5 com2_q2 5 com2_q2 359 139 45 5 com2_q3 5 com2_q3 5 com2_q3 5 com2_q3 5 com2_q3 360 138 1 998 1 walking 2 taxi (car) 3 boda-boda 4 bus/minibus 5 motorcycle 6 bicycle 7 boat 8 people do not use this facility 9 other 998 Sysmiss com2 q3:what is the common mode of transport used to reach the nearest [facility]? 5 com2_q3oth 5 com2_q3oth 5 com2_q3oth 5 com2_q3oth 5 com2_q3oth com2 q3:what is the common mode of transport used to reach the nearest [facility] - other? 5 com2_q4 5 com2_q4 5 com2_q4 5 com2_q4 5 com2_q4 360 138 2 998 com2 q4: how long does it take to reach the nearest [facility] using the mode of transport from center of this lc1(minutes)? 6 sno 6 sno 6 sno 6 sno 6 sno 498 1 999 6 fac_description 6 fac_description 6 fac_description 6 fac_description 6 fac_description 498 Hospital government 6 com2_q1 6 com2_q1 6 com2_q1 6 com2_q1 6 com2_q1 496 2 1 2 1 yes 2 no Sysmiss 6 com2_q2 6 com2_q2 6 com2_q2 6 com2_q2 6 com2_q2 365 133 137.6 6 com2_q3 6 com2_q3 6 com2_q3 6 com2_q3 6 com2_q3 365 133 1 998 1 walking 2 taxi (car) 3 boda-boda 4 bus/minibus 5 motorcycle 6 bicycle 7 boat 8 people do not use this facility 9 other 998 Sysmiss com2 q3:what is the common mode of transport used to reach the nearest [facility]? 6 com2_q3oth 6 com2_q3oth 6 com2_q3oth 6 com2_q3oth 6 com2_q3oth 1 DAMA com2 q3:what is the common mode of transport used to reach the nearest [facility] - other? 6 com2_q4 6 com2_q4 6 com2_q4 6 com2_q4 6 com2_q4 366 132 2 998 com2 q4: how long does it take to reach the nearest [facility] using the mode of transport from center of this lc1(minutes)? 7 sno 7 sno 7 sno 7 sno 7 sno 498 1 999 7 fac_description 7 fac_description 7 fac_description 7 fac_description 7 fac_description 498 Private clinic/ health unit 7 com2_q1 7 com2_q1 7 com2_q1 7 com2_q1 7 com2_q1 497 1 1 2 1 yes 2 no Sysmiss 7 com2_q2 7 com2_q2 7 com2_q2 7 com2_q2 7 com2_q2 331 167 18 7 com2_q3 7 com2_q3 7 com2_q3 7 com2_q3 7 com2_q3 331 167 1 998 1 walking 2 taxi (car) 3 boda-boda 4 bus/minibus 5 motorcycle 6 bicycle 7 boat 8 people do not use this facility 9 other 998 Sysmiss com2 q3:what is the common mode of transport used to reach the nearest [facility]? 7 com2_q3oth 7 com2_q3oth 7 com2_q3oth 7 com2_q3oth 7 com2_q3oth com2 q3:what is the common mode of transport used to reach the nearest [facility] - other? 7 com2_q4 7 com2_q4 7 com2_q4 7 com2_q4 7 com2_q4 331 167 1 998 com2 q4: how long does it take to reach the nearest [facility] using the mode of transport from center of this lc1(minutes)? 8 sno 8 sno 8 sno 8 sno 8 sno 498 1 999 8 fac_description 8 fac_description 8 fac_description 8 fac_description 8 fac_description 498 Pharmacy 8 com2_q1 8 com2_q1 8 com2_q1 8 com2_q1 8 com2_q1 494 4 1 2 1 yes 2 no Sysmiss 8 com2_q2 8 com2_q2 8 com2_q2 8 com2_q2 8 com2_q2 345 153 110 8 com2_q3 8 com2_q3 8 com2_q3 8 com2_q3 8 com2_q3 346 152 1 998 1 walking 2 taxi (car) 3 boda-boda 4 bus/minibus 5 motorcycle 6 bicycle 7 boat 8 people do not use this facility 9 other 998 Sysmiss com2 q3:what is the common mode of transport used to reach the nearest [facility]? 8 com2_q3oth 8 com2_q3oth 8 com2_q3oth 8 com2_q3oth 8 com2_q3oth 1 DAMA com2 q3:what is the common mode of transport used to reach the nearest [facility] - other? 8 com2_q4 8 com2_q4 8 com2_q4 8 com2_q4 8 com2_q4 347 151 2 998 com2 q4: how long does it take to reach the nearest [facility] using the mode of transport from center of this lc1(minutes)? 9 sno 9 sno 9 sno 9 sno 9 sno 498 1 999 9 fac_description 9 fac_description 9 fac_description 9 fac_description 9 fac_description 498 Bus stop 9 com2_q1 9 com2_q1 9 com2_q1 9 com2_q1 9 com2_q1 494 4 1 2 1 yes 2 no Sysmiss 9 com2_q2 9 com2_q2 9 com2_q2 9 com2_q2 9 com2_q2 347 151 50 9 com2_q3 9 com2_q3 9 com2_q3 9 com2_q3 9 com2_q3 347 151 1 998 1 walking 2 taxi (car) 3 boda-boda 4 bus/minibus 5 motorcycle 6 bicycle 7 boat 8 people do not use this facility 9 other 998 Sysmiss com2 q3:what is the common mode of transport used to reach the nearest [facility]? 9 com2_q3oth 9 com2_q3oth 9 com2_q3oth 9 com2_q3oth 9 com2_q3oth 1 DAMA com2 q3:what is the common mode of transport used to reach the nearest [facility] - other? 9 com2_q4 9 com2_q4 9 com2_q4 9 com2_q4 9 com2_q4 348 150 2 998 com2 q4: how long does it take to reach the nearest [facility] using the mode of transport from center of this lc1(minutes)? 10 sno 10 sno 10 sno 10 sno 10 sno 498 1 999 10 fac_description 10 fac_description 10 fac_description 10 fac_description 10 fac_description 498 Taxi/matatu stop 10 com2_q1 10 com2_q1 10 com2_q1 10 com2_q1 10 com2_q1 495 3 1 2 1 yes 2 no Sysmiss 10 com2_q2 10 com2_q2 10 com2_q2 10 com2_q2 10 com2_q2 345 153 50 10 com2_q3 10 com2_q3 10 com2_q3 10 com2_q3 10 com2_q3 345 153 1 998 1 walking 2 taxi (car) 3 boda-boda 4 bus/minibus 5 motorcycle 6 bicycle 7 boat 8 people do not use this facility 9 other 998 Sysmiss com2 q3:what is the common mode of transport used to reach the nearest [facility]? 10 com2_q3oth 10 com2_q3oth 10 com2_q3oth 10 com2_q3oth 10 com2_q3oth 1 DAMA com2 q3:what is the common mode of transport used to reach the nearest [facility] - other? 10 com2_q4 10 com2_q4 10 com2_q4 10 com2_q4 10 com2_q4 346 152 2 998 com2 q4: how long does it take to reach the nearest [facility] using the mode of transport from center of this lc1(minutes)? 11 sno 11 sno 11 sno 11 sno 11 sno 498 1 999 11 fac_description 11 fac_description 11 fac_description 11 fac_description 11 fac_description 498 Truck/pick-up for transporting inputs/produce 11 com2_q1 11 com2_q1 11 com2_q1 11 com2_q1 11 com2_q1 495 3 1 2 1 yes 2 no Sysmiss 11 com2_q2 11 com2_q2 11 com2_q2 11 com2_q2 11 com2_q2 323 175 50 11 com2_q3 11 com2_q3 11 com2_q3 11 com2_q3 11 com2_q3 323 175 1 998 1 walking 2 taxi (car) 3 boda-boda 4 bus/minibus 5 motorcycle 6 bicycle 7 boat 8 people do not use this facility 9 other 998 Sysmiss com2 q3:what is the common mode of transport used to reach the nearest [facility]? 11 com2_q3oth 11 com2_q3oth 11 com2_q3oth 11 com2_q3oth 11 com2_q3oth com2 q3:what is the common mode of transport used to reach the nearest [facility] - other? 11 com2_q4 11 com2_q4 11 com2_q4 11 com2_q4 11 com2_q4 323 175 2 998 com2 q4: how long does it take to reach the nearest [facility] using the mode of transport from center of this lc1(minutes)? 12 sno 12 sno 12 sno 12 sno 12 sno 498 1 999 12 fac_description 12 fac_description 12 fac_description 12 fac_description 12 fac_description 498 Cell phone network (coverage) 12 com2_q1 12 com2_q1 12 com2_q1 12 com2_q1 12 com2_q1 495 3 1 2 1 yes 2 no Sysmiss 12 com2_q2 12 com2_q2 12 com2_q2 12 com2_q2 12 com2_q2 277 221 50 12 com2_q3 12 com2_q3 12 com2_q3 12 com2_q3 12 com2_q3 277 221 1 998 1 walking 2 taxi (car) 3 boda-boda 4 bus/minibus 5 motorcycle 6 bicycle 7 boat 8 people do not use this facility 9 other 998 Sysmiss com2 q3:what is the common mode of transport used to reach the nearest [facility]? 12 com2_q3oth 12 com2_q3oth 12 com2_q3oth 12 com2_q3oth 12 com2_q3oth com2 q3:what is the common mode of transport used to reach the nearest [facility] - other? 12 com2_q4 12 com2_q4 12 com2_q4 12 com2_q4 12 com2_q4 277 221 2 998 com2 q4: how long does it take to reach the nearest [facility] using the mode of transport from center of this lc1(minutes)? 13 sno 13 sno 13 sno 13 sno 13 sno 498 1 999 13 fac_description 13 fac_description 13 fac_description 13 fac_description 13 fac_description 498 Bank branch office 13 com2_q1 13 com2_q1 13 com2_q1 13 com2_q1 13 com2_q1 495 3 1 2 1 yes 2 no Sysmiss 13 com2_q2 13 com2_q2 13 com2_q2 13 com2_q2 13 com2_q2 359 139 60 13 com2_q3 13 com2_q3 13 com2_q3 13 com2_q3 13 com2_q3 359 139 1 998 1 walking 2 taxi (car) 3 boda-boda 4 bus/minibus 5 motorcycle 6 bicycle 7 boat 8 people do not use this facility 9 other 998 Sysmiss com2 q3:what is the common mode of transport used to reach the nearest [facility]? 13 com2_q3oth 13 com2_q3oth 13 com2_q3oth 13 com2_q3oth 13 com2_q3oth 1 DAMA com2 q3:what is the common mode of transport used to reach the nearest [facility] - other? 13 com2_q4 13 com2_q4 13 com2_q4 13 com2_q4 13 com2_q4 360 138 2 998 com2 q4: how long does it take to reach the nearest [facility] using the mode of transport from center of this lc1(minutes)? community with a bus stop community with a bus stop community with a bus stop community with a bus stop community with a bus stop 498 1 1 community with a Taxi/matatu stop community with a Taxi/matatu stop community with a Taxi/matatu stop community with a Taxi/matatu stop community with a Taxi/matatu stop 498 1 1 community with a Truck/pick up for transporting inputs/produce community with a Truck/pick up for transporting inputs/produce community with a Truck/pick up for transporting inputs/produce community with a Truck/pick up for transporting inputs/produce community with a Truck/pick up for transporting inputs/produce 498 1 1 community with a Cell phone network community with a Cell phone network community with a Cell phone network community with a Cell phone network community with a Cell phone network 498 1 1 community with a Bank branch office community with a Bank branch office community with a Bank branch office community with a Bank branch office community with a Bank branch office 498 1 1 community with a Government primary school community with a Government primary school community with a Government primary school community with a Government primary school community with a Government primary school 498 1 1 community with a fac_priv_primary community with a fac_priv_primary community with a fac_priv_primary community with a fac_priv_primary community with a fac_priv_primary 498 1 1 community with a Gov.t secondary school community with a Gov.t secondary school community with a Gov.t secondary school community with a Gov.t secondary school community with a Gov.t secondary school 498 1 1 community with a Pre-primary school community with a Pre-primary school community with a Pre-primary school community with a Pre-primary school community with a Pre-primary school 498 1 1 community with a Gov.t health unit community with a Gov.t health unit community with a Gov.t health unit community with a Gov.t health unit community with a Gov.t health unit 498 1 1 community with a Gov.t hospital community with a Gov.t hospital community with a Gov.t hospital community with a Gov.t hospital community with a Gov.t hospital 498 1 1 community with a Private clinic community with a Private clinic community with a Private clinic community with a Private clinic community with a Private clinic 498 1 1 community with a Pharmacy community with a Pharmacy community with a Pharmacy community with a Pharmacy community with a Pharmacy 498 1 1 distance km from community to a bus stop distance km from community to a bus stop distance km from community to a bus stop distance km from community to a bus stop distance km from community to a bus stop 345 153 50 distance km from community to a Taxi/matatu stop distance km from community to a Taxi/matatu stop distance km from community to a Taxi/matatu stop distance km from community to a Taxi/matatu stop distance km from community to a Taxi/matatu stop 343 155 50 distance km from community to a Truck/pick up for transporting inputs/produce distance km from community to a Truck/pick up for transporting inputs/produce distance km from community to a Truck/pick up for transporting inputs/produce distance km from community to a Truck/pick up for transporting inputs/produce distance km from community to a Truck/pick up for transporting inputs/produce 321 177 50 distance km from community to a Cell phone network distance km from community to a Cell phone network distance km from community to a Cell phone network distance km from community to a Cell phone network distance km from community to a Cell phone network 272 226 50 distance km from community to a Bank branch office distance km from community to a Bank branch office distance km from community to a Bank branch office distance km from community to a Bank branch office distance km from community to a Bank branch office 357 141 60 distance km from community to a Government primary school distance km from community to a Government primary school distance km from community to a Government primary school distance km from community to a Government primary school distance km from community to a Government primary school 329 169 18 distance km from community to a fac_priv_primary distance km from community to a fac_priv_primary distance km from community to a fac_priv_primary distance km from community to a fac_priv_primary distance km from community to a fac_priv_primary 335 163 34 distance km from community to a Gov.t secondary school distance km from community to a Gov.t secondary school distance km from community to a Gov.t secondary school distance km from community to a Gov.t secondary school distance km from community to a Gov.t secondary school 360 138 34 distance km from community to a Pre-primary school distance km from community to a Pre-primary school distance km from community to a Pre-primary school distance km from community to a Pre-primary school distance km from community to a Pre-primary school 327 171 34 distance km from community to a Gov.t health unit distance km from community to a Gov.t health unit distance km from community to a Gov.t health unit distance km from community to a Gov.t health unit distance km from community to a Gov.t health unit 356 142 45 distance km from community to a Gov.t hospital distance km from community to a Gov.t hospital distance km from community to a Gov.t hospital distance km from community to a Gov.t hospital distance km from community to a Gov.t hospital 362 136 137.6 distance km from community to a Private clinic distance km from community to a Private clinic distance km from community to a Private clinic distance km from community to a Private clinic distance km from community to a Private clinic 328 170 18 distance km from community to a Pharmacy distance km from community to a Pharmacy distance km from community to a Pharmacy distance km from community to a Pharmacy distance km from community to a Pharmacy 343 155 110 498 1 1 498 1 1 498 498 498 498 1 1 498 498 1 1 498 1 1 498 1 1 498 498 1 1 498 1 1 498 498 1 1 498 1 1 498 1 1 498 498 498 1 1 498 498 1 1 498 498 1 1 498 498 498 1 1 498 498 1 1 498 1 1 498 1 1 498 498 1 1 498 1 1 498 498 1 1 498 1 1 498 1 1 498 1 1 498 1 1 498 1 1 498 498 1 1 498 498 1 1 498 498 498 1 1 498 498 1 1 498 1 1 498 1 1 498 1 1 498 1 1 498 1 1 498 498 1 1 498 498 1 1 498 498 1 1 498 1 1 498 498 1 1 498 498 1 1 498 498 498 1 1 498 498 1 1 498 498 1 1 498 498 498 1 1 498 498 1 1 498 498 1 1 498 498 498 1 1 498 498 1 1 498 1 1 498 1 1 498 498 1 1 498 1 1 498 331 167 2 258 336 162 2 420 360 138 2 258 326 172 2 258 359 139 2 258 365 133 2 360 330 168 1 258 346 152 2 330 347 151 2 602 345 153 2 390 322 176 2 258 276 222 2 258 359 139 2 360 District District District District District 498 APAC KABERAMAIDO KAMULI KAMWENGE KATAKWI KIBOGA KYENJOJO MOROTO NAKAPIRIPIRIT NAKASONGOLA NEBBI PADER County County County County County 498 AGAGO ARUU BUDIOPE BUGABULA BURULI BUZAAYA CHEKWII JONAM KABERAMAIDO KALAKI KIBALE KIBOGA KITAGWENDA KWANIA MARUZI MATHENIKO MOROTO MUNICIPALITY MWENGE PADYERE PIAN TOROMA USUK Sub-County Sub-County Sub-County Sub-County Sub-County 498 ABONGOMOLA ACHOLIBUR ADILANG ADUKU AKOKORO ALWA ANYARA APAC ATANGA ATEGO AWER BALAWOLI BUGAAKI BUGAYA BUGULUMBYA BULOPA BUTANSI BUTIITI BUYENDE BWIIZI CHAWENTE CHEGERE ERUSSI IBUJE KABERAMAIDO TOWN COUNCIL KAGULU KAHUNGE KAKOMONGOLE KAKOOGE KALAKI KALONGO KALUNGI KAMULI TC KAMWENGE KAMWENGE TC KAPEKE KAPUJAN KATOOKE TOWN COUNCIL KIBOGA TOWN COUNCIL KICHECHE KIDERA KIGARAALE KISOJO KISOZI KITAYUNJWA KITOOKE KUCWINY KYARUSOZI KYENJOJO TOWN COUNCIL LAGUTI LAPONO LIRA PALWO LUKOLE MAGORO MAHYORO MBULAMUTI NABILATUK NABISWERA NABWIGULU NADUNGET NAKASONGOLA TC NAMASAGALI NAMBEISO NAWANYAGO NDHEW NEBBI TOWN COUNCIL NKOMA NTARA NYABBANI NYANTUNGO OCHERO OMODOI OMOT PADER TC PAIMOL PAJULE PAKWACH PAKWACH TOWN COUNCIL PANYANGO PANYIMUR PARABONGO PATONGO PURANGA RUPA SOUTH DIVISION TOROMA USUK WANKOLE WOL Parish Parish Parish Parish Parish 498 AAKUM ABALANG ABANY ABAR EAST ABAR WEST ABEDI ABINDU WARD ABOKO ABONGO ABULI ABWOKODIA ABWONG ACABA ACEGERETOLIM ACENLWORO ACHERER ACHOL - PII ACHUNGI ADEM ADOLO ADYEDA AGANGA AGENGO AGONG AJALI AJAR AKALI AKERE AKETO AKOKORO AKURAO AKUYAM ALARO ALIDO ALIRA ALWOROCENG AMII- AMILO AMII-ABERIDWOGO AMOR WARD AMOR WEST AMORIGOGA AMUN AMUSIA ANGODINGODI ANWANGI ANYARA AORNGA APARISIA APIRE APOI APUUTON APWOR ASURET ATANA ATIGOLWOK ATIK ATONGTIDI ATOPI ATULE ATYAK AWILA AYABI AYAGO AYEOLYEC BALAWOLI BAMUSUUTA WARD BARAHIIJA BARODILO BIGODI BIGULI BORO BUCUNI WARD BUGANZA BUKUTU BUMOGOLI BUNG BUPANDHENGO BURARRO BUSANZA BUSIRIBA BUTARA BUTENDE BUTIITI BUZIBWEERA WARD BWENZI BWERA CAMPSWAHILI JUU CAMPSWAHILLICHIN CENTRAL WARD CHEGERE CHELEUKO EASTERN ENJERU ETEKOBER FOREST WARD GANDA GEM CENTRAL GEMONYOT GWASE HAKATOMA HIMA ILEE IRIMA ISANDARA JUKIA WARD KABAALE KABALE KABAMBIRO KABINGO KABURISOKE KADINYA KAFUNDA PARISH KAGAA KAGOBE KAIHURA KAKERE KAKET KAKINDO KAKIRA KAKOOGE KAKUNYU KALAKI KALENGEDDE KALOKWAMERI KAMENU KAMIRAMPANGO KAMUDA KAMULI NAMWENDWA KAMWENGE KANARA KANTOZI KANYALAM KAPUJAN KASABA KASAMBIRA KASEGA KASENYI KATAMBALE KATARA WARD KAYEERA KIBIRA KIBOGA TOWN WARD KICWAMBA KIDILANI KIGOYERA KIGUNDU KIHUMIRO KIJUMA KIKODA KINOGERO PARISH KIRONGO WARD KIRULUMBA WARD KISAIKYE KISOJO KITENY KITONGOLE KITONYA KITONZI KIVUJE KOKORIO KORITOK KORYAMO KOTHIKE KUNGU KYABAGONZA KYABARANGA KYAKATWIRE KYAMITARA KYAMUGENYI KYAMUTASA KYANYABONGO WARD KYAYIMBA KYONGERA LABWA LAGILE LAITA LAKWA LALAL LAPYEM LIRAKATO LOBODEGI LOBUNEIT LOKAALA LOPUTUK LOTIRIR LUNA LUZINGA MABAALE MAGOGO MAGORO MAJENGO MBULAMUTI MIRAMBI MITOMA MOGOTH MORUANGIBUIN MPAKITONYI MUKALE MUKUNYU MULAMBA MULONZI MUTTO MWARO WARD MYERI PARISH NABOLITH NABULEZI NADUNGET NAGAMULI NAIBOWA NAITAKWAE NAKABIRA NAKADELI NAKANDULO NAKOBEKOBE NAMAGANDA NAMISAMBYA II NAMRWODO WARD NAMTHIN WARD NATOPOJO NDOLWA NEBBI HILL WARD NGEKIDI NGOTO NSINDE NTAALA NTOMA NTONWA NYACARA WARD NYAIBANDA NYAKAGEI NYAKASURA NYAKISI PARISH NYAMABUGA NYAMASHEGWA OGWIL OGWOLO OLAGO OLOLANGO OLYEJO OMID OMINYA OMWIBALE ONGEMA ONGICIA ONGOCENG OPETA ORIMAI ORINA OWEKO OWINY PACABOL PACEGO PACER PACHAKA PADOLO PAJUR PAKEYO PAKIA PALATAU PALENGA PALUTI PAMINYA LOWER PAMINYA UPPER PAMITU PAMORA UPPER PAROKETO PARUMU PAYERA POKWERO PUNUATAR PUPU PUVUNGU CENTRAL PUVUNGU WEST RAMOGI RUBANGO RUGARAMA RUHOKO RUPA RWAITENGYA RWAMUKOORA RWENKUBEBE SWAGERE TAROGALI TEBOKE TEI-ORO TENGE THATHA WARD TOKORA TOROMA TOWN BOARD USUK VURR WESUNIRE Village Village Village Village Village 498 .AGIRIKASA/KIBEDO IPOO ABAKRA ABALANG ABALOKWERI ABATA ABEDO-BER ABOKET ABOLOKOMA ABONGORWOT ABORO WEST ABURU ABUTI ACAMIDAKO ACAMUCABO ACAN PII ACANDEK ACEKITOYO ACELEL ACHOLI INN ACUNA ACUR ACUT/AYWEELABUCE ACWERA ADAK A ADAROKOT ADOK .B ADULA/ACUTOMER SOUTH ADURUKOI ADYANG A ADYEGI D AGIKI AGENGO AGULE AGURI AGURI A AGUYA AGWA AGWENG AJIN AJOADOK B AJOK AKADO CENTRAL AKADO WEST AKELLA TRC AKESI AKISIM AKOKO DAKO AKOKOMA AKOLODONG AKOT B AKPOYA AKWAKEL AKWORO ALADO ALEBTONG ALELES ALENGO ALER ALONG A ALUKA CENTRAL ALUPERE ALURU AMALERA AMECA AMELENJU AMINTENG AMORU AMOTOT AMUKURAT AMULI AMULO AMUN - B AMUNIMIAPI AMWAK AMWANGA AMWONYOCAO B ANENOBER ANGANGUTI ANGAYIKI ANGEKI B ANGEO KOMA ANGIC ANGINY ANGIR ANGUMU ANYAI A ANYANGA ANYENA SOUTH/ANYENA WEST ANYWAL AOYA A APELE APIDYANG A APIL WEST/APIL EAST APIRE TRC APOLIKA APULE APUUTON APWORI ARENGEKEJU ARENGESIEP ARIAMAOI ARIAMARENG WEST ATEDEOI ATEGE ATHELE ATIDU ATINGLAKI ATOPI TRC ATUMA ATWEI AWARADI AWIMON AWIR AYAGO CENTRAL AYAGO LOWER AYERA AYIKI B AYILA BAMA B BAMUSUUTA BAR BUNG BAR-ADU BAR-OPOK A BARAHIIJA BAROKWORO BIRENGA BOLO DAM/LUKWOR OLOKOTUM BOMA BUBBUBBULU BUGOBI II/BUGOBI I/BUGANZA BUGULUSI-BUTALENGA/BUSELANDA-BUTADHI BUGWALA BUHISI/NYARUGONGO BUKYATIFU/BUGWANGA BULERI/BUBANDA/NSIIMA BULINDI BULONDO/BUFESA/BUKAAYA BULONDO/BUNANA/BUSIGE BULUBANDI BULWAMAZA/BUDHUDHU/BUBALE BUMEGERE 'A' BUNANGWE BUYOBO/BUSUBO-BUGABA BUNGA/ATUT ARWENY BUNYOGOLA/NAKALANGA BUSABURA BUSANGA B BUSANZA BUSASA BUTABAZI/NABIGAGA/BUYOKERO BUTONTI/BUNANGWE BUTUUMA/BUKAPERE B BUWALO/BUWAATE/BUKOSIYA/BUTOOLI BUWANGA/BUWALUKA/BULABE BUWOYA/BUTEKANGA/BUNAABI BUYEGO/BUKAIBALE/BUGANZA BUZIBWEERA A BUZIBWEERA B BWASE/BUNANGWE BWERA BWERA II BWEREME BYARA CAMPSWAHILLICHIN CENTRAL CUCU DEI A DEI C DURE NORTH/ADISABABA ELING ENJERU FOREST GALIRAAYA GO DOWN GOT ALI HARWOMA IGOMA B IGOTI CENTRAL IKAMIRO ISOROMA ISUNGA NYAKAKOKO ITUKULU-BUKAYA IWAL JALAKECH JAPIEMONEN CENTRAL JUPALA CENTRE JUPALANGA JUPALEJA JUPANYANGIL JUPUGETA LOWER JUPUNGULU KABAALA/ZABAZULA KABAGUNDA KABAKANJAGALA KABATOORO KABINGO II KABIRIZI KABURASOKE A/KABURAISOKE B KABURISOKE K KABUYANDA KADUNGU KAGONDO KAINO B KAJUMA KAJUMA-NTUNTU KAKAWOI B KAKERE KAKONI B KAKOOGE 'B' KALANGALA KALOI KALONGO/MISSION WARD KALOPWANYA KAMANA A KAMARERE KAMERA KANYINYI UPPER KARONGO KARUBONGOYE KARUBUGUMA I KASABA C KASEGA KASENYI KASUKU KASWA KATAMBALE KATANGA KATARA KATEMBE A KATINGI KATOOSA KAWULE EAST KEBISINGO II KELIM I KEOLU KIBALE NATIONAL PARK KIBOGA TOWN KIBURARA KIDE B KIDEPO KIDHOGWA B/KIDHOGWA A KIGOYERA KIHOIGA KIIYA VILLAGE KIJUGO KIJWIGA KIKWETE KIMORO KINDEKE KINYERE KIRONGO KIRONGO B KIRULUMBA KISOJO KISUGA KITEMBE KITONKYA KIYAYA EAST KIYUNGA/IDHALA KOCHUNOI KOTARUK KOTHONGOLA KUBBI KUCWINY TR CENTRE KULAKA OBUR/KULAKA-LELAJOK KULUBER KULUOWICH/ASEKENE KYAATO KYABAGONZA KYABIGANJA KYABOROBYA KYABYOMA 'B' KYAKABOMBWE KYAKABOYO KYAKATUMBA KYAMULIMI KYANIKA KYANYAMA KYANYAMUTALE KYARUTWE KYAYIMBA KYEMBOGO KYETUME A LAI CENTRAL/LAI WEST LAJJO LAJUNG LALAL WEST/DOUGLAS LALWOR- DONG/AYWEE GARAGARA LANGODYANG LARURONYOL LEGENG/CENTRAL LELA-PEE/LELA-KALE LENG CONGI LOBOROM/KOKIL LODOOI LOGILAKAWOLO/AMIDA LOKAAL LOKAALE LOKABOCHET LOKORETE LOLETEKIA LONANGAT LONGOROKO LONYASAN LOOI LOOYAKARAMAWEI LOPUR LOSIMIT/NAPAO LUFULA LUGA LUKALOYE B/LUKALOYE A/BAJERE LUKOO LUWUNGA A LWALA LWANDAMA LYAMUGUMBA LYENGOMA I MADI UPPER MAGORO CENTER MAJENGO B MAMBI MASANGI MIRAMBI MIRAMBI NTUNGO MISENYI MITOMA A MPARO B MPONGO MPUNDA MUBOGO CENTRAL MUKOLE MUKUNYU CENTRAL MULIMA MUZIRANDURU MVULI MWARO A MWIBALE NABYETEREKA/KANSIRYE NACELE NACHELE NACHOGOROM NACHUKA NAKAMISITAE NAKAPELIMEN NAKAWA B 'A' NAKORETE NAKUDEP NAMBALE/BUMYUUKA EAST/BUDUNGU NAMIJIMIJ NAMRWODO NAMUNSAALA/NAMUNKANGA NANGORIKIPI NANGORIT NAPAYAN NAPONGAE/KATHIAPUS NARUKENY/NAMIDIKAO NATAARI NATAPARAARENGAN NATENGEREBET NATOPOJO NDAIGA/IRIIMA NDAMA NJAU NTOROKO ROAD NYABUSOZI NYAKAHAAMA NYAKATERAMIRA 'B' NYAKATI NYAKIRO SOUTH NYAMBEHO NYAMUKINDU NYAMUKOIJO A/NYAMUKOIJO B NYAMUTAGANA B NYAMWENDO NYANTUNGO B NYARUBINGO NYARUGALO NYARUKOMA NYARURAMBI NYARUTUNTU OBALONGWEN OBANGA NGEO OBIA OBIRAI OBONGODERO OBURAMA ODINGO I ODODOI ODOKOMIT/ABILNINO ODOKUNA ODOM EAST OGLIL CENTRAL/ALYEM/TERWORO OIDOTONGOLE OIMAI OKEBBU OKICIRA OKONGO OKORIO OKUTAGWE .A OKWOT OLANYOTAI OLEKO OLELPEK OLIO OLOKOKWOME OLUMA I A OMID AMORU OMODOI OMOL OMOYO NORTH OMUSUGUN B ONGATUNYO-OMINYA ONGEMA ONGOROMO OPENO ORIWO ACWERA B ORYANG OSUGURO OTAL IMALO OTORONGOLE A OTUM-PILI/KAKONGO OWANG OWOI EAST OYUTU/LUBELE NORTH/AMOR PA WONG PIDA PACER PACER EAST PAJAO LOWER PAKECH SOUTH PALYEC PARWATH PIDA PUJWANG EAST PUMVUGA EAST PUNUATAR.A PUPU RACKOKO CENTRE RAMOGI RIVER RUBANGO A RUBAZI RUBONA RUGOMBE NYAMASOBYA RUHIGA RUKIZI I RUMBA RUPAMISSING RWAITEGYA RWAKASAIJA RWAMUGONERA RWEMIRAMA 'A' RWENKUBA RWENSIKIZA I RWENTALE SAZA ROAD SINGLA B SUB-DISTRICT TE-OPOK TEBOKE TEELUL/LAMWO TEITEK TEKANGO/OCHOYO LAMERO/NYERICAN TEO KWANG/KENYA THATHA TOIBONG TORO TOROMA OBONGUT TRADING CENTRE TUMALYEC/ONGAKO TYENDMANDIR UNJUKU UPPER WALUSI/WALUKUNYU WANGDUKU CENTRAL/WANGDUKU WEST/LAMII NORTH WANKADO EAST WIDAM WIDYANGA WIGWENG WIGWENG A Part 1 of villageid Part 1 of villageid Part 1 of villageid Part 1 of villageid Part 1 of villageid 498 10 20 21 30 31 41 Part 2 of villageid Part 2 of villageid Part 2 of villageid Part 2 of villageid Part 2 of villageid 498 01 03 12 13 14 21 22 23 31 32 34 35 51 52 54 73 74 81 82 91 Part 3 of villageid Part 3 of villageid Part 3 of villageid Part 3 of villageid Part 3 of villageid 498 01 02 03 04 05 06 07 08 09 10 11 12 14 Part 4 of villageid Part 4 of villageid Part 4 of villageid Part 4 of villageid Part 4 of villageid 498 01 02 03 04 05 06 07 08 09 10 11 12 Part 5 of villageid Part 5 of villageid Part 5 of villageid Part 5 of villageid Part 5 of villageid 498 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 24 25 28 29 37 serial number serial number serial number serial number serial number 498 1 999 com id com id com id com id com id 498 1031030102 4151140802 village village village village village 498 ABAKER ABALANG ABALORWERI ABATA ABEDO-BER ABILNINO ABOKET ABOLOKOMA ABON GORWOT ABORO WEST ABURU ABUTI ACADO CENTRAL ACAMIDAKO ACAMUCAIBO ACAN PII ACANDEK ACEKITOYO ACELEL ACHOLI INN ACUNA ACUR ACUTOMER ACWERA ADAKA ADAROKOT ADISIBABA ADODOI ADOK.B ADURUKOI ADYANGA ADYEGID AGIKI AGENGO AGULE AGURI AGURI A AGUYA AGWA AGWENG AJIN AJOADOK B AJOK AKADO WEST AKAPOYA AKELLA TRC AKESI AKISIM AKOKO DAKO AKOKOMA AKOLODONG AKOT B AKWAKEL AKWORO ALADO ALEBTONG ALEGO ALELES ALER ALONGA ALUKA CENTRAL ALUPERE CENTRAL ALURU AMALERA AMECCA AMEKENJU AMIDA AMITENG AMOR AMORU AMOTOT AMUKURAT AMULI AMULO AMUN B AMUNIMAPI AMWAK AMWANGA AMWONYOCAO B ANENOBER ANGANGUTI ANGAYIKI ANGEKI B ANGEOKOMA ANGIC ANGINY ANGIR ANGUMU ANYAI A ANYANGA ANYENA WEST ANYWAG AOYA APELE APIDYANGA APIL EAST APIRE TC APOLIKA APULLE APUUTON APWORI AREBGESEP ARENGEKEJU ARIAMAYENY WEST ARIMAOI ATEDEOI ATENGE ATHELE ATIDU ATINGLAKI ATOK ATOPITRC ATUMA ATWEI AWARADI AWIMON AWIR AYAGO CENTRAL AYAGO LOWER AYERA AYIKI B AYILA AYWEE GARAGARA AYWEE-LABUCE BAMA B BAMUSUUTA BAR BUNG BAR-ADU BAR-OPOKEA BARAHIJA BAROKWORO BIRENGA BOMA BUBALE BUBBUBULI BUGOBI 2 BUGULISI-BUTALENGA BUGWALA BUHISI BUKAAYA BUKAPERE B BUKYATIFU BULINDI BULUBZNDI BUMAABI BUMEGERE A BUMYUUKE-EAST BUNANGWE BUNANGWE-BUYOBO BUNGA BUSABURA BUSANGA BUSANZA BUSASA BUSIGE BUTONTI BUWAATE BUWALUKA BUYEGO BUZIBWEERA A BUZIBWERA B BWERA BWERA II BWEREME BYARA CAMPSWAHILI CHIN CENTRAL CUCU DEA DEI C DOUGLAS ELING ENJERU FOREST GALIRAAYA GODWIN GOT ALI HARWOMA IDHALA IGOMA B IGOTI CENTRAL IKAMIRO ISOROMA ISUNGA NYAKAKOKO ITUKULU-BUKAYA IWAL JALAKECH JAPIE MONEN CENTRAL JUPALA CENTER JUPALANGA JUPALESA JUPANYANGIL JUPUGETA LOWER JUPUNGULU KABAALA KABAGUNDA KABAKANJAGALA KABATORO KABINGO II KABIRIZI KABURASOICE A KABURISOKE K KABUYANDA KADUNGU KAINOB KAJUMA KAJUMA-NTUMTU KAKAWOIB KAKERE KAKONGO KAKONI B KAKOOGE B KALANGALA KALOI KALOPWANYA KAMANA A KAMARERE KAMERA KANGONDO KANYINYI UPPER KARONGO KARUBONGOYE KARUBUGUMAI KASABA C KASEGA KASENYI KASUKU KASWA KATAMBALE KATANGA KATARA KATEMBEA KATINGI KATOOSA KAWULE EAST KEISINGOLL KELIMI KEOLU KIBEDO IPOO KIBOGA TOWN KIBURARA KIDEB KIDEPO KIDHOGWAA KIGOYERA KIHOIGA KIJUGO KIJWIGA KIKWETE KIMORO KINDEKE KINYERE KIRONGO KIRONGOB KIRULUMBA KISOJO KISUGA KITEMBE KITONKYA KIYAYA EAST KOCHUNOI KOKIL KOTARUK KOTHONGOLA KUBBI KUCWINY KULAKA OBUR KULO OCWIJI KULUMBER KUYA KWAITEGYA KYAATO KYABAGONZA KYABIGANJA KYABOROBYA KYABYOMA B KYAKABOMBO KYAKABOYO KYAKATUMBA KYAMULIMI KYANIKA KYANYAMA KYANYAMUTALE KYARUTWE KYAYIMBA KYEMBOGO KYETUMEA LAI WEST/ LAI CENTRAL LAJJO LAJUNG LALA KALE LALURONYOL LAMWO LANGODYANG LENGCONGI LIKOO LODOOI LOKAAL LOKAALE LOKABOCHET LOKORETE LOLETEKIA LOLNAGAI LONGOROKO LONYABAN LOOI LOOYAKARAMAWEI LOPUR LOSIMIT/NAPAD LUFULA LUGA LUKALOYE B LUKWOR LUWUNGA A LWALA LWANDAMA LYAMUGUMBA LYENGOMAI MADDI UPPER MAGORO MARKET MAJENGO.B MAMBI MASANGI MIRAMBI MIRAMBI NTUNGO MISEYI MISSION WARD MITOMA A MPAROB MPOPNGO MPUNDA MUBOGO MUKOLE MUKUNYU CENTRAL MULIMA MUSUPO MUZIRANDURU MWARO A MWIBALE MWILI NABIGAGA NABYETEREKA NACELE NACHELE NACHOGOROM NACHUKA NAKALANGA NAKAMISTAE NAKAPELIMEN NAKAWA B NAKORETE NAKUDEP NAMIJIMIJ NAMRWODO NAMUNSAALA NANGORIKIPI NANGORIT NAPAYAN NAPONGAE/KATHIAPUS NARUKENY/ NAMIDIKAO NATAARI NATAPAR ARENGAN NATENGEREBET NATOPOJO NDAIGA NDAMA NJAU NKINGO NSIIMA NTOROKO ROAD NYABUSOZI NYAKAHAMA NYAKATERAMIRA B NYAKATI NYAKIRO SOUTH NYAMBEHO NYAMUKINDU NYAMUKOIJO B NYAMUTAGANA B NYAMWENDO NYANTUNGO B NYARUBINGP NYARUGALO NYARUKOMA NYARURAMBI NYARURUMBI NYARUTUNTU OBALONGWEN OBANGA NGEO OBIA OBIRAI OBONGODERO OBURAMA OCHOYO LAMERO ODINGOI ODOKUNA ODOM EAST OGATUNYU MWAYA OIDOTONGOLE OIMAI OKEEBU OKIGRA OKONGO OKORIO OKUTAGWE OKWOT OLANYOTAI OLEKO OLELPEK OLIO OLOKOKWOME OLUMAIA OMID AMORU OMODOI OMOL OMOYO NORTH OMUSUGUN B ONGAKO ONGEMA ONGOROMO OPENO ORANG ORIWO ACWERA B OSUGURO 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cordinates - east gps cordinates - east gps cordinates - east gps cordinates - east gps cordinates - east 497 030.040.17 034.000.32 30.17.304 30.17.504 30.18.620 30.20.627 30.22.513 30.22.881 30.23.475 30.23.536 30.23.879 30.24.077 30.25.494 30.26.244 30.26.407 30.26.524 30.26.814 30.26.953 30.27.177 30.27.469 30.27.633 30.27.720 30.27.906 30.28.082 30.28.561 30.28.936 30.29.127 30.29.807 30.29.893 30.30.098 30.30.355 30.30.530 30.30.722 30.30.958 30.31.536 30.31.846 30.32.115 30.32.536 30.33.162 30.33.328 30.33.334 30.33.506 30.33.662 30.33.734 30.33.761 30.33.765 30.33.786 30.33.913 30.34.022 30.34.148 30.34.189 30.34.219 30.34.353 30.34.388 30.34.523 30.34.610 30.34.623 30.34.893 30.34.936 30.35.160 30.35.254 30.35.731 30.35.845 30.35.895 30.36.180 30.36.397 30.36.830 30.36.914 30.37.021 30.37.150 30.37.286 30.37.739 30.37.897 30.37.914 30.38.043 30.38.205 30.38.431 30.38.471 30.38.574 30.38.639 30.39.033 30.39.089 30.39.703 30.39.763 30.39.781 30.39.856 30.39.910 30.40.270 30.40.360 30.40.543 30.40.653 30.40.817 30.40.978 30.41.135 30.41.192 30.41.387 30.41.408 30.41.544 30.42.673 30.42.916 30.42.971 30.43.227 30.43.708 30.43.709 30.43.962 30.44.136 30.44.463 30.44.542 30.44.788 30.45.146 30.46.031 31.03.724 31.03.997 31.04.123 31.04.528 31.04.657 31.04.761 31.04.907 31.04.925 31.04.996 31.05.024 31.05.056 31.05.237 31.05.380 31.05.491 31.05.514 31.05.615 31.05.650 31.05.711 31.05.752 31.05.860 31.05.938 31.05.943 31.06.161 31.06.263 31.06.762 31.07.044 31.07.166 31.07.207 31.07.312 31.07.699 31.07.728 31.07.733 31.07.754 31.07.903 31.08.122 31.08.639 31.08.937 31.09.324 31.09.720 31.10.688 31.10.970 31.11.307 31.11.504 31.11.614 31.11.827 31.11.848 31.12.434 31.12.900 31.13.090 31.13.676 31.14.359 31.16.253 31.16.733 31.16.812 31.16.932 31.17.142 31.17.386 31.17.916 31.18.214 31.18.471 31.18.919 31.19.559 31.19.913 31.22.991 31.23.813 31.23.944 31.24.422 31.24.757 31.25.303 31.26.347 31.26.764 31.27.115 31.27.242 31.27.285 31.27.295 31.27.371 31.27.400 31.27.506 31.27.536 31.27.569 31.27.683 31.28.462 31.28.755 31.29.348 31.29.638 31.31.071 31.31.126 31.45.231 31.45.774 31.45.943 31.45.974 31.46.006 31.46.019 31.46.164 31.46.393 31.47.328 31.48.394 31.49.646 31.50.107 31.58.858 32.07.952 32.10.836 32.13.586 32.15.563 32.15.727 32.17.197 32.18.060 32.18.286 32.19.479 32.21.215 32.21.677 32.22.015 32.22.032 32.22.197 32.22.582 32.22.685 32.22.983 32.23.122 32.24.177 32.24.314 32.25.370 32.25.824 32.26.436 32.27.060 32.27.074 32.27.461 32.27.696 32.28.014 32.28.041 32.29.064 32.29.173 32.29.295 32.29.318 32.29.549 32.29.850 32.30.112 32.30.549 32.30.769 32.31.129 32.32.344 32.32.481 32.32.572 32.32.798 32.32.822 32.33.062 32.33.212 32.34.425 32.34.642 32.34.911 32.35.508 32.35.893 32.36.497 32.36.700 32.36.897 32.36.918 32.37.044 32.37.519 32.38.321 32.38.465 32.39.682 32.40.425 32.40.652 32.41.255 32.41.447 32.41.486 32.41.949 32.41.973 32.42.008 32.42.390 32.43.022 32.43.536 32.43.831 32.43.973 32.44.152 32.44.519 32.44.577 32.45.065 32.45.122 32.45.302 32.45.492 32.45.589 32.45.941 32.46.372 32.46.377 32.47.194 32.47.419 32.47.463 32.47.615 32.49.024 32.49.054 32.49.121 32.49.229 32.49.412 32.51.079 32.51.169 32.51.407 32.51.444 32.51.896 32.52.719 32.52.740 32.52.915 32.53.373 32.53.409 32.54.355 32.54.374 32.54.830 32.55.207 32.55.421 32.55.491 32.56.528 32.57.002 32.57.403 32.57.595 32.58.558 32.58.976 32.59.842 33.00.189 33.00.749 33.01.129 33.01.641 33.03.423 33.04.094 33.04.368 33.04.419 33.04.430 33.04.663 33.04.748 33.05.462 33.05.669 33.05.686 33.06.025 33.06.068 33.06.474 33.06.790 33.07.044 33.07.354 33.07.410 33.07.425 33.07.569 33.07.710 33.08.272 33.08.696 33.08.911 33.08.947 33.09.449 33.09.738 33.09.792 33.09.812 33.09.887 33.11.165 33.11.569 33.12.131 33.12.706 33.13.087 33.13.435 33.14.266 33.14.343 33.15.226 33.15.236 33.15.316 33.15.358 33.15.552 33.15.587 33.15.820 33.16.479 33.16.547 33.16.558 33.16.808 33.16.927 33.17.216 33.17.897 33.18.122 33.18.485 33.19.015 33.19.064 33.19.513 33.20.083 33.20.252 33.20.852 33.20.962 33.20.964 33.21.517 33.21.779 33.21.896 33.22.123 33.22.232 33.22.309 33.22.450 33.22.519 33.22.639 33.23.993 33.24.922 33.25.140 33.25.620 33.26.046 33.27.891 33.27.892 33.29.089 33.29.214 33.31.581 33.52.410 33.52.541 33.55.740 33.55.754 33.56.427 33.57.037 33.57.156 33.57.322 33.57.546 33.57.757 33.57.801 33.58.257 33.58.379 33.59.148 33.59.330 33.59.502 33.59.566 33.59.748 33.59.785 34.01.742 34.02.912 34.03.693 34.04.437 34.04.591 34.05.106 34.05.153 34.05.377 34.05.960 34.06.084 34.06.163 34.06.969 34.31.015 34.31.988 34.32.311 34.32.532 34.32.793 34.33.273 34.33.438 34.33.620 34.33.803 34.34.107 34.34.187 34.34.304 34.34.444 34.34.489 34.34.528 34.34.540 34.34.969 34.35.208 34.35.428 34.35.572 34.35.948 34.36.345 34.36.589 34.36.622 34.36.630 34.36.683 34.36.929 34.36.970 34.37.159 34.37.211 34.37.274 34.37.295 34.37.352 34.37.631 34.37.654 34.37.696 34.38.037 34.38.066 34.38.285 34.38.609 34.38.633 34.38.657 34.38.704 34.38.717 34.39.251 34.39.261 34.39.607 34.39.722 34.40.743 34.40.909 34.41.306 com2 q5:does this lc1 have a road that is accessible by motor vehicle all year r com2 q5:does this lc1 have a road that is accessible by motor vehicle all year r com2 q5:does this lc1 have a road that is accessible by motor vehicle all year r com2 q5:does this lc1 have a road that is accessible by motor vehicle all year r com2 q5:does this lc1 have a road that is accessible by motor vehicle all year r 498 1 2 1 2 com2 q5:does this lc1 have a road that is accessible by motor vehicle all year round (km)? com2 q6 how far from this lc1 is the nearest trunk road – murram(km)? com2 q6 how far from this lc1 is the nearest trunk road – murram(km)? com2 q6 how far from this lc1 is the nearest trunk road – murram(km)? com2 q6 how far from this lc1 is the nearest trunk road – murram(km)? com2 q6 how far from this lc1 is the nearest trunk road – murram(km)? 498 998 com2 q7 how far from this lc1 is the nearest trunk road – tarmac(km)? com2 q7 how far from this lc1 is the nearest trunk road – tarmac(km)? com2 q7 how far from this lc1 is the nearest trunk road – tarmac(km)? com2 q7 how far from this lc1 is the nearest trunk road – tarmac(km)? com2 q7 how far from this lc1 is the nearest trunk road – tarmac(km)? 498 394 com2 q8 how far is this lc1 from the district headquarters(km)? com2 q8 how far is this lc1 from the district headquarters(km)? com2 q8 how far is this lc1 from the district headquarters(km)? com2 q8 how far is this lc1 from the district headquarters(km)? com2 q8 how far is this lc1 from the district headquarters(km)? 498 0.2 115 com2 q9 how far is this lc1 from the nearest municipality(km)? com2 q9 how far is this lc1 from the nearest municipality(km)? com2 q9 how far is this lc1 from the nearest municipality(km)? com2 q9 how far is this lc1 from the nearest municipality(km)? com2 q9 how far is this lc1 from the nearest municipality(km)? 495 3 241.8 com2 q10 how far is this lc1 from kampala(km)? com2 q10 how far is this lc1 from kampala(km)? com2 q10 how far is this lc1 from kampala(km)? com2 q10 how far is this lc1 from kampala(km)? com2 q10 how far is this lc1 from kampala(km)? 492 6 800 com3 q1 "agricultural wages per person per day for men (ugx) " com3 q1 "agricultural wages per person per day for men (ugx) " com3 q1 "agricultural wages per person per day for men (ugx) " com3 q1 "agricultural wages per person per day for men (ugx) " com3 q1 "agricultural wages per person per day for men (ugx) " 496 2 1000 99998 com3 q2 "agricultural wages per person per day for women (ugx) " com3 q2 "agricultural wages per person per day for women (ugx) " com3 q2 "agricultural wages per person per day for women (ugx) " com3 q2 "agricultural wages per person per day for women (ugx) " com3 q2 "agricultural wages per person per day for women (ugx) " 494 4 500 99998 com3 q3 "non-agricultural wages per person per day for men (ugx) " com3 q3 "non-agricultural wages per person per day for men (ugx) " com3 q3 "non-agricultural wages per person per day for men (ugx) " com3 q3 "non-agricultural wages per person per day for men (ugx) " com3 q3 "non-agricultural wages per person per day for men (ugx) " 493 5 99998 com3 q4 "non-agricultural wages per person per day for women (ugx) " com3 q4 "non-agricultural wages per person per day for women (ugx) " com3 q4 "non-agricultural wages per person per day for women (ugx) " com3 q4 "non-agricultural wages per person per day for women (ugx) " com3 q4 "non-agricultural wages per person per day for women (ugx) " 476 22 99998 com4 "q6:how many limited consumer outlets (shops) are there in this lc1?" com4 "q6:how many limited consumer outlets (shops) are there in this lc1?" com4 "q6:how many limited consumer outlets (shops) are there in this lc1?" com4 "q6:how many limited consumer outlets (shops) are there in this lc1?" com4 "q6:how many limited consumer outlets (shops) are there in this lc1?" 497 1 500 com4 "q7:how many boda-boda (motorcycle) drivers are stationed in this lc1?" com4 "q7:how many boda-boda (motorcycle) drivers are stationed in this lc1?" com4 "q7:how many boda-boda (motorcycle) drivers are stationed in this lc1?" com4 "q7:how many boda-boda (motorcycle) drivers are stationed in this lc1?" com4 "q7:how many boda-boda (motorcycle) drivers are stationed in this lc1?" 497 1 120 com4 "q8:what is the cost of a one way journey for one person to the sub-county com4 "q8:what is the cost of a one way journey for one person to the sub-county com4 "q8:what is the cost of a one way journey for one person to the sub-county com4 "q8:what is the cost of a one way journey for one person to the sub-county com4 "q8:what is the cost of a one way journey for one person to the sub-county 498 7 999998 com4 "q8:what is the cost of a one way journey for one person to the sub-county centre by boda-boda? " remmarks remmarks remmarks remmarks remmarks 82 0755554754 CHAIRMAN 0774839610/ISAIAH MUTAKA/KAHAMA EMMA 0774971205 0776333176 ABALANG WOMEN DONT WORK FOR NON-ARGRICULURAL WAGES ONLY MEN ABININO IS NOW ADMINISTRATED UNDER OMIYA PACWA SUB ABOA YAKO(LCI LAI WEST) 0756228928 ACAN MASILIANO (LCI) ODONG SELESTIONO ATIDO RONALD -VICE CHAIRPERSON BANURI GILBERT 0783053500 MUHEREZA ANTHONY BEKAMBA JOHN 0782312969 MUKIZA JOHNSON 0781662625 BETH MUTABASI-0775249751/APOLLO HABYARIMANA BUKERO TRADIN CENTER IS IN BETWEEN 3 VILLAGES THAT IS NABIAGA ,BULOBA,AND BUY FROM THE CENTER OF THIS LC1 TO THE DISTRICT HQS KYENJOJO GPS OF THE AREA TAKEN FROM LOCAL TRADING CENTER GPS TAKEN FROM LC1'S PLACE GPS TAKEN FROM LC1S HOME GPS TAKEN FROM LOCAL TRADING CENTER GPS TAKEN FROM LOCAL TRADING CENTER AROUND THE SHOPS GPS TAKEN FROM RIC'S HOME KAWULE EAST WAS EASTABLISHED TO UNDER BUTERE PARISH NOT KAKIRA PARISH KODONGO TOWN LALURONYOL VILLAGE IS NOW UNDER LATIN LING PARISH WHICH WAS DIVIDED FROM TEN LC HAD EARLY CHILD HOOD EDUCATION CENTER A YEAR AGO BUT STOPPED LC HAS A SERIOUS PROBLEM OF WATER THE ONLY BOREHOLE IS BROKEN LC1'S HOME LOCAL FC LOCAL TRADING CENTER LONGER HOURS TAKEN TO ACESS DIFFERENT PLACES BECAUSE ROADS TO SOME PLACES ARE MATOKE ARE NOT COMMON IN THE MARKET MR SWAIBU KASOWOLE DEFENCE NAKAPIRIPIRIT DISTRICT DOES NOT HAVE BANK BRANCH NON OF THE MEMBER HELD A PHONE NON-ARGRICULTURAL WAGES IS PAID TO WOMEN OKEDI MARCELO (LC1) OKELLO ROSALBA OKIDIR RAY 0787022815 OYUGI MASILIANO PEOPLE DONT INDULGE IN ANY ARGRICULTURAL WORK RAOD CLOSED BY SWAMP SINCE THE PRIVATE SCHOOL IS FAR CHILDREN DON'T REPORT TO SCHOOL EVERY DAY SUPPLY MOSQUITO NETS THE NEARBY GOVERNMENT SECONDARY IS BUGULUMBYA THE AREA DOESNT HAVE A PRIVATE OR GOVERNMENT PRIMARY SCHOOL THE AREA IS NOT EASILY ACCESSIBLE DUE TO SWAMPS THE CHAIMAN OF NAKALANGA LCI DOES NOT HAVE A PHONE THE CHAIR PERSON OF THE AREA HAD TRAVELLED TO IGAGA FOR MEDICATION THE CHAIR PERSON WAS NOT IN THE VILLAGE FOR A WEEK SO NO PARTICIPATION IN SU THE CHAIRMAN HAD GONE FOR BURIAL IN BUGIRI DISTRICT THE CHAIRMAN WAS NOT AROUND WHEN THE INTERVIEW WAS CONDUCTED THE CHAIRMAN WAS NOT AROUND SO HE DIDNT PARTICIPATE THE L.C CHAIRMAN DIDNT HAVE A PHONE CONTACT AND HE COULDNT RECALL CARE NUM THE L.C IS A TOUGH HILLY AREA COMPLETELY AWAY FROM CIVILASATION THE LC OF THIS VILLAGE WAS NOT AROUND SO I USED THE WIFE THE LCI CHAIRMAN LOST HIS PHONE BUT CAN BE CONTACTED THROUGH MR KIZITO THE LCI CHAIRMAN WAS ABSENT HE HAD GONE TO ATEND A WEDDING CEREMONY BUT I GOT THE LCI CHAIRMAN WAS PROMOTED TOLC3 AND THE VICE CHAIRPERSON THE LCI IS WALUKUNYU, WALUSI IS THE NEARBY TRADING CENTER THE LOCAL PRIMARY IS WESUNIRE AND THE PRIVATE IS AVAILABLE THE PARISH NMAE IS EASTWARD BUT NOT EASTERN THE PARISH WAS CHANGED TO LAWIYADUL FROM NGOTO THE PRIVATE CLINICS THAT ARE NEARBY ARE NEARBY ARE IN KIDERA TRADING CENTER THE ROADS IN THE VILLAGE HAVE ALOT OF WATER THE TRUE NAME OF THE PLACE IS SATA ZONE NOT SATA ROAD AS IT IS THE VILLAGE HD STARTED THE EARLY CHILDHOOD L THE VILLAGE IS AT THE SHORES OF LAKE KYOGA AND THE MAIN ACTIVITY IS FISHING THE VILLAGE IS IN KAKOOKGE TOWN COUCIL THAT IS WHY MOST ITEMS ARE PURCHACED THE VILLAGE IS WRITTEN AS ADODOI NOT ODODOI THE VILLAGE NAME IS ATENGE NOT ATEGE THE VILLAGE NAME IS TEKWORO NOT TERWORO AS IT APPEARED IN THE LIST THE VILLAGE OF ACUTOMER IS NO LONGER FOUND IN GEMONYET THE WOMEN OF ALURU VILLAGE DO NOT PARTICIPATE IN ANY CASUAL LABOUR WORK THERE IS NEITHER A PERIODIC NOR A PERMANENT MARKET IN THE LC BUT IN THE NEARB THERE IS NO GOVERNMEMT SECONDARY SCHOOL THIS VILLAGE IS NOW UNDER ADEMI PARISH BECAUSE IT WAS SPLIT FROM AGENGO PARIS TJE L.C WITH A COMMUNITY SEED BANK IN THE WHOLE OF NADANGED S/COUNTY TRANSPORT SYSTEM IS POOR DUE TO REMOTNESS VILLAGE HAS NO ROAD THAT CAN BE ACCESSED BY CAR OR BICYCLE VILLAGERS USE SHORT CUTS MOSTLY NOT MAIN ROAD WOMEN IN THIS AREA ARE NOT PAID IN NION -AGRICULTURAL ACTIVITY WOMEN IN THIS AREA DONT INVOLVE THEMSELF IN NON-ARGRICULTURAL ACTIVITY 498 . 000012 004112 010112 010912 011012 011112 011912 020912 021012 021112 030812 030912 031012 031112 040912 041012 041112 050912 051012 051112 060912 061012 061112 070912 071012 071112 071912 080910 080912 081012 081112 091012 091112 100912 101012 101112 110912 111012 111112 120113 120912 121012 121112 130912 131012 131112 140912 141012 150912 151012 160912 161012 170912 171012 180912 181012 190912 191012 200912 201012 210912 211012 220912 221012 230912 231012 240912 241012 250912 251012 260912 261012 270912 271012 280912 281012 290912 291012 300812 300912 301012 302912 310812 310912 311012 Average agricultural wage per person per day FEMALE Average agricultural wage per person per day FEMALE Average agricultural wage per person per day FEMALE Average agricultural wage per person per day FEMALE Average agricultural wage per person per day FEMALE 491 7 500 10000 Average non agricultural wage per person per day MALE Average non agricultural wage per person per day MALE Average non agricultural wage per person per day MALE Average non agricultural wage per person per day MALE Average non agricultural wage per person per day MALE 494 4 1000 10000 498 20000 Average agricultural wage per person per day Average agricultural wage per person per day Average agricultural wage per person per day Average agricultural wage per person per day Average agricultural wage per person per day 494 4 750 10000 Average non agricultural wage per person per day FEMALE Average non agricultural wage per person per day FEMALE Average non agricultural wage per person per day FEMALE Average non agricultural wage per person per day FEMALE Average non agricultural wage per person per day FEMALE 415 83 500 30000 Average non agricultural wage per person per day MALE Average non agricultural wage per person per day MALE Average non agricultural wage per person per day MALE Average non agricultural wage per person per day MALE Average non agricultural wage per person per day MALE 464 34 500 50000 498 80000 Average non agricultural wage per person per day Average non agricultural wage per person per day Average non agricultural wage per person per day Average non agricultural wage per person per day Average non agricultural wage per person per day 464 34 500 40000 number of limited consumer outlets per community number of limited consumer outlets per community number of limited consumer outlets per community number of limited consumer outlets per community number of limited consumer outlets per community 495 3 65 number of boda-boda stationed in the community number of boda-boda stationed in the community number of boda-boda stationed in the community number of boda-boda stationed in the community number of boda-boda stationed in the community 496 2 50 cost of one person to the sub-country centre by boda-boda cost of one person to the sub-country centre by boda-boda cost of one person to the sub-country centre by boda-boda cost of one person to the sub-country centre by boda-boda cost of one person to the sub-country centre by boda-boda 492 6 200 30000 (mean) targetingmethod (mean) targetingmethod (mean) targetingmethod (mean) targetingmethod (mean) targetingmethod 498 2 1 2 com id com id com id com id com id 498 1031030102 4151140802 3042691338.673 783823376.447 1 sno 1 sno 1 sno 1 sno 1 sno 498 1 999 251.512 150.713 1 market_description 1 market_description 1 market_description 1 market_description 1 market_description 498 Limited consumer outlet (shop/kiosk) 1 com4_q2 1 com4_q2 1 com4_q2 1 com4_q2 1 com4_q2 498 1 yes 2 no distance_outlet distance_outlet distance_outlet distance_outlet distance_outlet 497 1 34 1.17 3.188 1 com4_q4 1 com4_q4 1 com4_q4 1 com4_q4 1 com4_q4 141 357 1 walking 2 taxi (car) 3 boda-boda 4 bus/minibus 5 motorcycle 6 bicycle 7 boat 8 people do not use this facility 9 other Sysmiss 1 com4_q4oth 1 com4_q4oth 1 com4_q4oth 1 com4_q4oth 1 com4_q4oth com4 q4:what is the common mode of transport used to reach the nearest [market] - other? 1 com4_q5 1 com4_q5 1 com4_q5 1 com4_q5 1 com4_q5 141 357 5 300 56.035 52.369 com4 q5:how long does it take to reach the nearest [market] using the mode of transport from centre of this lc1 (minutes)? 2 sno 2 sno 2 sno 2 sno 2 sno 498 1 999 251.512 150.713 2 market_description 2 market_description 2 market_description 2 market_description 2 market_description 498 Periodic local market 2 com4_q2 2 com4_q2 2 com4_q2 2 com4_q2 2 com4_q2 497 1 1 yes 2 no Sysmiss distance_perm_market distance_perm_market distance_perm_market distance_perm_market distance_perm_market 497 1 998 6.731 44.948 2 com4_q4 2 com4_q4 2 com4_q4 2 com4_q4 2 com4_q4 430 68 1 walking 2 taxi (car) 3 boda-boda 4 bus/minibus 5 motorcycle 6 bicycle 7 boat 8 people do not use this facility 9 other 998 Sysmiss 2 com4_q4oth 2 com4_q4oth 2 com4_q4oth 2 com4_q4oth 2 com4_q4oth 1 . com4 q4:what is the common mode of transport used to reach the nearest [market] - other? 2 com4_q5 2 com4_q5 2 com4_q5 2 com4_q5 2 com4_q5 430 68 3 998 73.181 82.626 com4 q5:how long does it take to reach the nearest [market] using the mode of transport from centre of this lc1 (minutes)? 3 sno 3 sno 3 sno 3 sno 3 sno 498 1 999 251.512 150.713 3 market_description 3 market_description 3 market_description 3 market_description 3 market_description 498 Most common (permanent) market 3 com4_q2 3 com4_q2 3 com4_q2 3 com4_q2 3 com4_q2 497 1 1 yes 2 no Sysmiss distance_period_market distance_period_market distance_period_market distance_period_market distance_period_market 498 998 12.216 46.051 3 com4_q4 3 com4_q4 3 com4_q4 3 com4_q4 3 com4_q4 460 38 1 walking 2 taxi (car) 3 boda-boda 4 bus/minibus 5 motorcycle 6 bicycle 7 boat 8 people do not use this facility 9 other 998 Sysmiss 3 com4_q4oth 3 com4_q4oth 3 com4_q4oth 3 com4_q4oth 3 com4_q4oth 1 9 com4 q4:what is the common mode of transport used to reach the nearest [market] - other? 3 com4_q5 3 com4_q5 3 com4_q5 3 com4_q5 3 com4_q5 458 40 3 998 79.52 82.902 com4 q5:how long does it take to reach the nearest [market] using the mode of transport from centre of this lc1 (minutes)? 4 sno 4 sno 4 sno 4 sno 4 sno 498 1 999 251.512 150.713 4 market_description 4 market_description 4 market_description 4 market_description 4 market_description 498 ROSCA 4 com4_q2 4 com4_q2 4 com4_q2 4 com4_q2 4 com4_q2 494 4 1 yes 2 no Sysmiss 4 com4_q3 4 com4_q3 4 com4_q3 4 com4_q3 4 com4_q3 485 13 72 2.151 5.569 4 com4_q4 4 com4_q4 4 com4_q4 4 com4_q4 4 com4_q4 181 317 1 walking 2 taxi (car) 3 boda-boda 4 bus/minibus 5 motorcycle 6 bicycle 7 boat 8 people do not use this facility 9 other 998 Sysmiss 4 com4_q4oth 4 com4_q4oth 4 com4_q4oth 4 com4_q4oth 4 com4_q4oth com4 q4:what is the common mode of transport used to reach the nearest [market] - other? 4 com4_q5 4 com4_q5 4 com4_q5 4 com4_q5 4 com4_q5 180 318 2 998 86.572 162.241 com4 q5:how long does it take to reach the nearest [market] using the mode of transport from centre of this lc1 (minutes)? 5 sno 5 sno 5 sno 5 sno 5 sno 498 1 999 251.512 150.713 5 market_description 5 market_description 5 market_description 5 market_description 5 market_description 498 SACCO 5 com4_q2 5 com4_q2 5 com4_q2 5 com4_q2 5 com4_q2 497 1 1 yes 2 no Sysmiss 5 com4_q3 5 com4_q3 5 com4_q3 5 com4_q3 5 com4_q3 493 5 60 6.238 7.918 5 com4_q4 5 com4_q4 5 com4_q4 5 com4_q4 5 com4_q4 416 82 1 walking 2 taxi (car) 3 boda-boda 4 bus/minibus 5 motorcycle 6 bicycle 7 boat 8 people do not use this facility 9 other 998 Sysmiss 5 com4_q4oth 5 com4_q4oth 5 com4_q4oth 5 com4_q4oth 5 com4_q4oth com4 q4:what is the common mode of transport used to reach the nearest [market] - other? 5 com4_q5 5 com4_q5 5 com4_q5 5 com4_q5 5 com4_q5 408 90 5 998 79.858 85.935 com4 q5:how long does it take to reach the nearest [market] using the mode of transport from centre of this lc1 (minutes)? 498 5 497 1 35 1.528 3.717 community with local saving institutions community with local saving institutions community with local saving institutions community with local saving institutions community with local saving institutions 497 1 1 Sysmiss 497 1 1 Sysmiss 498 1 (mean) targetingmethod (mean) targetingmethod (mean) targetingmethod (mean) targetingmethod (mean) targetingmethod 498 1 2 Com ID Com ID Com ID Com ID Com ID 498 1031030102 4151140802 3042691338.673 783823376.447 1 sno 1 sno 1 sno 1 sno 1 sno 498 1 999 251.512 150.713 1 item_description 1 item_description 1 item_description 1 item_description 1 item_description 498 Sugar 1 com5_q1 1 com5_q1 1 com5_q1 1 com5_q1 1 com5_q1 498 1 This LC1 2 Nearest local trading Centre 3 Nearby village/town (not local trading centre) 4 Not available in any of the above 1 com5_q2 1 com5_q2 1 com5_q2 1 com5_q2 1 com5_q2 217 ABALANG TRADING CENTER ABEDI CENTER ABOKET CENTER ABULI ACADO WEST ACHADYANG T.C. ACHOLIBUR CENTER ACULAWICI ACWERA THE RUBBER ADILANG ADILANG TRADING CENTER ADURE CENTER ADWORI AGAGO TOWN COUNCIL AGONG AGURI B AJOK DONG T/C AKADO CENTRAL AKAMPALA LANDING SITE AKEUA TRC AKORAO AKWON ALBALANG CENTER ALIDO ALURU TRADING CENTER ALWA TRADING CENTER ALWE CENTER AMEKEDE AMUKRATA AMUKURAT AMULI CENTER AMUSIA ANYARA TRADING CENTER APAPAI TRADING CENTER ATANGA MISSION ATAR ATEK CENTRAL ATINYOM CENTER ATURA AWILO AWIRA TC AWIRI BAIWENGI BALAWOLI TOWN COUNCIL BAPIRI BORO TRC BULONDO ZONE BULOPA TC BUYOKERO B T/C CENTRAL VILLAGE CHONGALOYA TRC CORNER MUMLEMA EBEJU TRADING CENTER EPURUS PLACE ERUSI ERUSSI ETEKOBER TC GALIKWOLEKA T/C GOKUCWINGI T/C IMAT-OMUA TRADING CENTER JUPUKEY UPPER KABERAMAIDO TOWN KABUREPOLI TRADING CENTER KAGAA TRADING CENTER KAISAMBA KALAKI TRADING CENTER KALONGO KAMIRAMPAGO KAMULI MARKET KANYANLAM TRADING CENTER KASABA KASAMBIRA TRADING CENTER KASOJO T.C KATINGI CENTER KIDE KIKWAMBA KIRASHA T/C KIZITO'S SHOP KOTHONGOLA TC KUCWINY T/C KUYWEE KYANAITI KYANIKA KYATAKWIRE LACEKOCOT CENTER LAGILE LAGILE CENTER LAGUTI CENTER LALAL CENTRAL LALAL WEST LOLACHAT T/C LONGO CENTER LOOLACHAT T/C LORENG TOWN COUNCIL LUBEGI CENTER LUZINGA TRADING CENTER MAGORO MAGORO TC MAGURO MAHYORO MAMBA MBAROMAKABA T/C MOROT TOWN MOROTO TOWN MOROTO TOWN COUNCIL MUNANGA NABILATUAK NABILATUK T/C NABITUCK TRADINCG CENTER NAKASONGA T/C NAKATUNYA TRADING CENTER NAKATUNYA TRADING CENTRE NAKAWOLO NAMUSAGALI NATURUM T/C NDHEW T/C NEBBI TOWN NKOKONJEURU TRADING CENTER NOBILATUK T/C NYAKATI NYALAVULU TC NYAMWANDALA NYARAVURU NYARAVURU T/C OCENS PLACE OGODAI STAGE OKWANG CENTRAL OLEO CENTER OLWENYI T/C OLWENYI TC OMOYO CENTRAL OMUKARERE TC OPARAMO OPOTA TRADING CENTER ORIAMO TRADING CENTER ORIDIO TRADING CENTER OWANG CENTRAL OWEKO T.C OWILO T/C OYERE PACERU T/C PAGAGI T/C PAKOO CENTRAL PAKWACH MKT PANYIMUR PANYIMUR MARKET PANYIMUR MKT PATONGO TOWN COUNCIL PUKWERO T/C PUNUTAR B PURANGA CENTER SAZZA STAGE SIGN POST TRADING CENTER SINGLA SMALL WORLD TEKANGO TEKBER THATHA VILLAGE TOKORA T/C TOROMA TOROMO TC UNJUKU LOWER USUK WALUSI WANKADO WANKAWA T/C 1 com5_q3 1 com5_q3 1 com5_q3 1 com5_q3 1 com5_q3 497 1 2400 999998 9631.376 77257.02 1 com5_q4 1 com5_q4 1 com5_q4 1 com5_q4 1 com5_q4 498 1 kg 2 Litres 3 Single Piece 2 sno 2 sno 2 sno 2 sno 2 sno 498 1 999 251.512 150.713 2 item_description 2 item_description 2 item_description 2 item_description 2 item_description 498 Salt 2 com5_q1 2 com5_q1 2 com5_q1 2 com5_q1 2 com5_q1 498 1 This LC1 2 Nearest local trading Centre 3 Nearby village/town (not local trading centre) 4 Not available in any of the above 2 com5_q2 2 com5_q2 2 com5_q2 2 com5_q2 2 com5_q2 196 ABEDI CENTER ABOKET CENTER ABULI ACADO WEST ACHADYANG T.C. ACULAWICI ACWERA THE RUBBER ADILANG ADILANG TRADING CENTER ADUKU ADURE CENTER ADWORI AGAGO TOWN COUNCIL AGONG AGURI B AJOK DONG T/C AKADO CENTRAL AKAMPALA LANDING SITE AKEUA TRC AKORAO AKWON ALBALANG CENTER ALIDO ALURU TRADING CENTER ALWA TRADING CENTER ALWE CENTER AMEKEDE AMUKURAT AMULI CENTER AMUSIA ANYARA TRADING CENTER APAPAI TRADING CENTER ATANGA MISSION ATAR ATEK CENTRAL ATINYOM CENTER ATURA AWILA AWILO AWIRA TC AWIRI BAIWENGI BALAWOLI TOWN COUNCIL BAPIRI BUKYATIFU T/C BULONDO ZONE BULOPA TC BUYOKERO B T/C CENTRAL VILLAGE EBEJU TRADING CENTER EPELUS PLACE (PRIVATE) EPURUS PLACE ERUSI ERUSSI ETEKOBER TC EWECH'S SHOP GALIKWOLEKA T/C GOKUCWINGI T/C IBUJE IMAT-OMUA TRADING CENTER JUPUKEY UPPER KABERAMAIDO TOWN KABUREPOLI TRADING CENTER KAGAA TRADING CENTER KAISAMBA KALAKI TRADING CENTER KALONGO KAMIRAMPAGO KAMULI MARKET KANYANLAM TRADING CENTER KASAMBIRA TRADING CENTER KATARA KATINGI CENTER KIDE KIKWAMBA KIRASHA T/C KIZITO'S SHOP KOTHONGOLA TC KUYWEE KYAKATWILE KYANAITI KYANIKA KYATAKWIRE KYATATWIRE LACEKOCOT CENTER LAGILE LAGILE CENTER LAGUTI CENTER LALAL CENTRAL LALAL WEST LONGO CENTER LOPUT TRADING CENTER LORENG T/C LORENG TOWN COUNCIL LOYARABOS T/C LUBEGI CENTER LUZINGA TRADING CENTER LUZIRAI WEST MAGORO MAGORO TC MAGURO MAMBA MOROTO TOWN MOROTO TOWN COUNCIL MUNANGA NABILATUAK NABILATUK T/C NABITUCK TRADINCG CENTER NAKASONGA T/C NAKATUNYA TRADING CENTER NAKAWOLO NATURUM T/C NOBILATUK T/C NTOROKO ROAD NYAKATI NYALAVULU TC NYAMWANDALA OCENS PLACE OGODAI STAGE OKWANG CENTRAL OLEO CENTER OLWENYI T/C OMUKARERE TC OPARAMO OPOTA TRADING CENTER ORIAMO TRADING CENTER ORIDIO TRADING CENTER OWEKO TC OWILO T/C OYERE PACERU T/C PAGAGI T/C PAKWACH MKT PANYIMUR MARKET PANYIMUR MKT PATONGO TOWN COUNCIL PUKWERO T/C PUNUTAR B PURANGA CENTER RWAMUKOORA RYMONDS SHOP SAZZA STAGE SIGN POST TRADING CENTER SMALL WORLD THATHA VILLAGE TOKORA T/C TOROMA TOROMO TC UNJUKU LOWER USUK WALUSI WANKADO WANKAWA T/C 2 com5_q3 2 com5_q3 2 com5_q3 2 com5_q3 2 com5_q3 497 1 100 999998 7043.247 77461.748 2 com5_q4 2 com5_q4 2 com5_q4 2 com5_q4 2 com5_q4 498 1 kg 2 Litres 3 Single Piece 3 sno 3 sno 3 sno 3 sno 3 sno 498 1 999 251.512 150.713 3 item_description 3 item_description 3 item_description 3 item_description 3 item_description 498 Cooking oil 3 com5_q1 3 com5_q1 3 com5_q1 3 com5_q1 3 com5_q1 498 1 This LC1 2 Nearest local trading Centre 3 Nearby village/town (not local trading centre) 4 Not available in any of the above 3 com5_q2 3 com5_q2 3 com5_q2 3 com5_q2 3 com5_q2 255 ABEDI CENTER ABOKET CENTER ABORO CENTER ABULI ACADO WEST ACHADYANG T.C. ACHOLIBUR CENTER ACULAWICI ACWERA THE RUBBER ADILANG TRADING CENTER ADUKU ADURE CENTER ADWORI AGAGO TOWN COUNCIL AGONG AGURI B AJOK DONG T/C AKABA T/C AKADO CENTRAL AKAMPALA LANDING SITE AKEUA TRC AKORAO AKWON ALBALANG CENTER ALIDO ALURU TRADING CENTER ALWA TRADING CENTER ALWE CENTER AMEKEDE AMUKRATA AMUKURAT AMULI CENTER AMUSIA ANYARA TRADING CENTER APAPAI TRADING CENTER ATANGA MISSION ATAR ATEK CENTRAL ATINYOM CENTER ATURA AWILO AWIRA TC AWIRI BAIWENGI BALAWOLI TOWN COUNCIL BAPIRI BIGULI TRADING CENTER BORO TRC BULONDO ZONE BULOPA TC BUYOKERO B T/C BUZIBWEERA A CENTRAL VILLAGE CHONGALOYA TRC CORNER MUMLEMA DOGOBULE EBEJU TRADING CENTER EPELUS PLACE (PRIVATE) EPURUS PLACE ERUSI ERUSSI ETEKOBER TC EWECH'S SHOP GALIKWOLEKA T/C GOKUCWINGI T/C HAKIBALE IBUJE IMAT-OMUA TRADING CENTER JUPUKEY UPPER KABERAMAIDO TOWN KABUREPOLI TRADING CENTER KAFUNDA KAGAA TRADING CENTER KAIHURA KAISAMBA KALAKI TRADING CENTER KALONGO KAMIRAMPAGO KAMULI MARKET KANYANLAM TRADING CENTER KASABA KASAMBIRA TRADING CENTER KASOJO T.C KATARA KATINGI CENTER KATOC TC KATOOKE T CENTER KATOOKE T/C KATOOKE TC KIDE KIGODA KIGOYERA KIKODA KIKWAMBA KIRASHA T/C KIZITO'S SHOP KOTHONGOLA TC KUCWINY T/C KUYWEE KYAKATWILE KYAKATWIRE KYANAITI KYATAKWIRE KYATARAKA KYATATWIRE KYENJOJO KYENJOJO TOWN LACEKOCOT CENTER LAGILE LAGILE CENTER LAGUTI CENTER LALAL CENTRAL LALAL WEST LOLACHAT T/C LONGO CENTER LOOLACHAT T/C LUBEGI CENTER LUZINGA TRADING CENTER LUZIRAI WEST MAGORO MAGORO TC MAGURO MAHYORO MAMBA MBAROMAKABA T/C MOROTO TOWN MOROTO TOWN COUNCIL MUKUNYU MUNANGA MYERI NABILATUAK NABILATUK T/C NABITUCK TRADINCG CENTER NAKASONGA T/C NAKATUNYA TRADING CENTER NAKAWOLO NATURUM T/C NDHEW T/C NDORO VILLAGE NEBBI TOWN NOBILATUK T/C NTOROKO ROAD NYALAVULU TC NYAMWANDALA NYARAMBA/ CONGO MARKET NYARAVURU NYARAVURU T/C OCENS PLACE OGODAI STAGE OKWANG CENTRAL OLEO CENTER OLWENYI T/C OLWENYI TC OMUKARERE TC OPARAMO OPOTA TRADING CENTER ORIAMO TRADING CENTER ORIDIO TRADING CENTER ORINA OWEKO TC OWILO T/C OYERE PACERU T/C PAGAGI T/C PAKWACH MKT PANYIMUR PANYIMUR MARKET PANYIMUR MKT PUKWERO T/C PUNUTAR B PURANGA CENTER RUGOMBE RWAMUKOORA RYMONDS SHOP SAZZA STAGE SIGN POST TRADING CENTER SINGLA SMALL WORLD THATHA VILLAGE TOKORA T/C TOROMA TOROMO TC UNJUKU LOWER USUK WALUSI WANKADO WANKAWA T/C 3 com5_q3 3 com5_q3 3 com5_q3 3 com5_q3 3 com5_q3 497 1 1000 999998 15886.7 99314.486 3 com5_q4 3 com5_q4 3 com5_q4 3 com5_q4 3 com5_q4 498 1 kg 2 Litres 3 Single Piece 4 sno 4 sno 4 sno 4 sno 4 sno 498 1 999 251.512 150.713 4 item_description 4 item_description 4 item_description 4 item_description 4 item_description 498 Maize flour 4 com5_q1 4 com5_q1 4 com5_q1 4 com5_q1 4 com5_q1 497 1 1 This LC1 2 Nearest local trading Centre 3 Nearby village/town (not local trading centre) 4 Not available in any of the above Sysmiss 4 com5_q2 4 com5_q2 4 com5_q2 4 com5_q2 4 com5_q2 267 8 ABALANG TRADING CENTER ABEDI CENTER ABOKET CENTER ABONGOMOLA ABULI ACADO WEST ACAMIDAKO TRADING CENTER ACHADYANG T.C. ACHOLIBUR CENTER ACULAWICI ACUNGI A ADILANG TRADING CENTER ADUKU ADUKU T/C ADURE CENTER ADWORI AGAGO TOWN COUNCIL AGONG AJOK DONG T/C AKADO CENTRAL AKAMPALA LANDING SITE AKELA TRC AKEUA TRC AKORAO AKWON ALBALANG CENTER ALURU TRADING CENTER ALWA TRADING CENTER AMEKEDE AMUKRATA AMUKURAT AMULI CENTER ANYARA TRADING CENTER APAC TOWN APAPAI TRADING CENTER ATANGA MISSION ATAR ATEK CENTRAL ATINYOM CENTER ATURA AWILO AWIRA TC AWIRI AYABI BALAWOLI TOWN COUNCIL BAPIRI BORO TRC BULONDO ZONE BULOPA TC BUYOKERO B T/C CENTER VILLAGE CORNER MUMLEMA CYAKALE EBEJU TRADING CENTER ERUSI ERUSI MARKET ERUSS ERUSS MARKET ERUSS TC ERUSSI ERUSSI MARKET ETEKOBER TC GALIKWOLEKA T/C IMAT-OMUA TRADING CENTER JUPUKEY UPPER KABERAMIDO TOWN KABUREPOLI TRADING CENTER KADONGO KAGAA TRADING CENTER KAIHURA KAISAMBA KALAKI TRADING CENTER KALONGO KAMIRAMPAGO KAMULI MARKET KANYALAM TRADING CENTER KANYANLAM TRADING CENTER KASABA KASAMBIRA TRADING CENTER KASOJO T.C KATINGI CENTER KIDE KIKWAMBA KIRASHA T/C KIZITO'S SHOP KUCWINY T/C KUCWINY TC KUYWEE KYANAITI KYANIKA KYATATWIRE LACEKOCOT CENTER LAGILE LAGILE CENTER LAGUTI CENTER LALAL CENTRAL LOLACHAT T/C LONGO CENTER LOOLACHAT T/C LUZINGA TRADING CENTER MAGORO MAGORO TC MAGORO TRADING CENTER MAGURO MAHYORO MAMBA MBAROMAKABA T/C MOROTO TOWN MOROTO TOWN COUNCIL MUNANGA NABILATUAK NABILATUK T/C NABITUCK TRADINCG CENTER NAKASONGA T/C NAKATUNYA TRADING CENTER NAKATUNYA TRADING CENTRE NAKAWOLO NATURUM T/C NEBBI NEBBI TOWN NKOKONJEURU TRADING CENTER NOBILATUK T/C NYAKATI NYALAVULU TC NYAMWANDALA NYARAVURU NYARAVURU T/C OLENYI T/C OLENYI TRADING CENTER OLEO CENTER OLWENYI OLWENYI T/C OLWENYI TC OMOT TRADING CENTRAL OMUKARERE TC OPARAMO OPOTA TRADING CENTER ORIAMO TRADING CENTER ORIDIO TRADING CENTER OWANG CENTRAL OWILO T/C PAJULE CENTER PAKWACH PAKWACH MARKET PAKWACH MKT PAKWACH T/C PAKWACHA MARKET PAKWERO TC PAMAJULALA PANYAMUR PANYIMAR TOWN BAND PANYIMUR PANYIMUR MARKET PANYIMUR MKT PARAWACH MARKET PARWACH MARKET PATONGO TOWN COUNCIL POKWERO MARKET PUKWERO T/C PUNUTAR B PURANGA CENTER SAZZA STAGE SIGN POST TRADING CENTER SINGIA SINGILA SINGLA SMALL WORLD TOKORA T/C TOROMA TOROMO TC UNJUKU LOWER USUK WALUSI WANKAWA T/C 4 com5_q3 4 com5_q3 4 com5_q3 4 com5_q3 4 com5_q3 493 5 300 999998 22237.789 140832.22 4 com5_q4 4 com5_q4 4 com5_q4 4 com5_q4 4 com5_q4 498 1 kg 2 Litres 3 Single Piece 5 sno 5 sno 5 sno 5 sno 5 sno 498 1 999 251.512 150.713 5 item_description 5 item_description 5 item_description 5 item_description 5 item_description 498 Bar soap 5 com5_q1 5 com5_q1 5 com5_q1 5 com5_q1 5 com5_q1 498 1 This LC1 2 Nearest local trading Centre 3 Nearby village/town (not local trading centre) 4 Not available in any of the above 5 com5_q2 5 com5_q2 5 com5_q2 5 com5_q2 5 com5_q2 189 ABEDI CENTER ABOKET CENTER ABORO CENTER ABULI ACADO WEST ACHADYANG T.C. ACULAWICI ACWERA THE RUBBER ADILANG TRADING CENTER ADURE CENTER ADWORI AGAGO TOWN COUNCIL AGONG AGURI B AJOK DONG T/C AKADO CENTRAL AKAMPALA LANDING SITE AKORAO AKWON ALBALANG CENTER ALIDO ALURU TRADING CENTER ALWA TRADING CENTER ALWE CENTER AMEKEDE AMUKURAT AMULI CENTER AMUSIA ANDEBO CENTRAL ANYARA TRADING CENTER APAPAI TRADING CENTER ATANGA MISSION ATAR ATEK CENTRAL ATINYOM CENTER ATURA AWILO AWIRA TC AWIRI BAIWENGI BALAWOLI TOWN COUNCIL BAPIRI BULONDO ZONE BULOPA TC BUYOKERO B T/C BUZIBWEERA A CENTRAL VILLAGE CORNER MUMLEMA EBEJU TRADING CENTER EPELUS PLACE (PRIVATE) EPURUS PLACE ERUSI ERUSSI ETEKOBER TC GOKUCWINGI T/C IMAT-OMUA TRADING CENTER JUPUKEY UPPER KABERAMIDO TOWN KABUREPOLI TRADING CENTER KAGAA TRADING CENTER KAISAMBA KALAKI KALAKI TRADING CENTER KALONGO KAMIRAMPAGO KAMULI MARKET KANYANLAM TRADING CENTER KASAMBIRA TRADING CENTER KATINGI CENTER KIDE KIKWAMBA KIRASHA T/C KIZITO'S SHOP KOTHONGOLA TC KYANAITI KYANIKA LACEKOCOT CENTER LAGILE LAGILE CENTER LAGUTI CENTER LALAL CENTRAL LALAL WEST LONGO CENTER LORENG TOWN COUNCIL LOYARABOS T/C LUBEGI CENTER LUZINGA TRADING CENTER LUZIRAI WEST MAGORO MAGORO TC MAGURO MAHYORO MAMBA MOROTO TOWN MOROTO TOWN COUNCIL MUNANGA NABILATUAK NABILATUK T/C NABITUCK TRADINCG CENTER NAKASONGA T/C NAKATUNYA TRADING CENTER NAKATUNYA TRADING CENTRE NAKAWOLO NATURUM T/C NDHEW T/C NOBILATUK T/C NYAKATI NYALAVULU TC NYAMWANDALA OCENS PLACE OGODAI STAGE OKWANG CENTRAL OLEO CENTER OLWENYI T/C OMUKARERE TC OPARAMO OPOTA TRADING CENTER ORIAMO TRADING CENTER ORIDIO TRADING CENTER ORINA ORIWO ACWERA OWEKO TC OWILO T/C OYERE PACERU T/C PAGAGI T/C PANYIMUR MARKET PANYIMUR MKT PATONGO TOWN COUNCIL PUKWERO T/C PUNUTAR B PURANGA CENTER RYMONDS SHOP SAZZA STAGE SIGN POST TRADING CENTER SMALL WORLD THATHE VILLAGE TOKORA T/C TOROMA TOROMO TC UNJUKU LOWER USUK WALUSI WANKAWA T/C 5 com5_q3 5 com5_q3 5 com5_q3 5 com5_q3 5 com5_q3 497 1 200 999998 8825.537 89373.808 5 com5_q4 5 com5_q4 5 com5_q4 5 com5_q4 5 com5_q4 498 1 kg 2 Litres 3 Single Piece 6 sno 6 sno 6 sno 6 sno 6 sno 498 1 999 251.512 150.713 6 item_description 6 item_description 6 item_description 6 item_description 6 item_description 498 Paraffin 6 com5_q1 6 com5_q1 6 com5_q1 6 com5_q1 6 com5_q1 498 1 This LC1 2 Nearest local trading Centre 3 Nearby village/town (not local trading centre) 4 Not available in any of the above 6 com5_q2 6 com5_q2 6 com5_q2 6 com5_q2 6 com5_q2 234 ABEDI CENTER ABOKET CENTER ABORO CENTER ABULI ACADO WEST ACHADYANG T.C. ACHOLIBUR CENTER ACULAWICI ACWERA THE RUBBER ADILANG ADILANG TRADING CENTER ADUKU T/C ADURE CENTER ADWORI AGAGO TOWN COUNCIL AGONG AGURI B AJOK DONG T/C AKADO CENTRAL AKAMPALA LANDING SITE AKORAO AKWON ALBALANG CENTER ALIDO ALURU TRADING CENTER ALWA TRADING CENTER ALWE CENTER AMEKEDE AMUKURAT AMULI CENTER AMUSIA ANDEBO CENTRAL ANYARA TRADING CENTER APAC APAPAI TRADING CENTER ATANGA MISSION ATAR ATEK CENTRAL ATINYOM CENTER ATURA AWILO AWIRA TC AYABI BAIWENGI BALAWOLI TOWN COUNCIL BAPIRI BULONDO ZONE BULOPA TC BUYOKERO B T/C BUZIBWEERA A BUZIBWERA B (FUEL CITY) BWERA TRADING CENTER KYAKATWILE CENTRAL VILLAGE CHONGALOYA TRC CORNER MUMLEMA EBEJU TRADING CENTER EPELUS PLACE (PRIVATE) EPURUS PLACE ERUSI ERUSSI ETEKOBER TC EWECH'S SHOP FUEL CITY GALIKWOLEKA T/C GOKUCWINGI T/C HAKIBALE IMAT-OMUA TRADING CENTER JUPUKEY UPPER KABAKANJAGATA KABERAMIDO TOWN KABUREPOLI TRADING CENTER KAGAA TRADING CENTER KAIHURA KAISAMBA KALAKI KALAKI TRADING CENTER KALONGO KAMIRAMPAGO KAMULI MARKET KANYANLAM TRADING CENTER KASABA KASAMBIRA TRADING CENTER KASOJO T.C KATARA KATINGI CENTER KATOOKE KATOOKE T CENTER KATOOKE T/C KATOOKE TC KATOOKE TOWN KIGOERA KIGOYERA KIKODA KIKWAMBA KIRASHA T/C KISOJO KIWANGUZI SHELL KIZITO'S SHOP KOTHONGOLA TC KYAKATWIRE KYAMITARA CENTER KYANAITI KYARUSOZI KYATAKWIRE KYATARAKA KYATATWIRE KYENJOJO KYENJOJO TOWN KYENJONJO LACEKOCOT CENTER LAGILE LAGILE CENTER LAGUTI CENTER LALAL CENTRAL LALAL WEST LONGO CENTER LORENG TOWN COUNCIL LUBEGI CENTER LUWUNGA A(SHELL) LUZINGA TRADING CENTER LUZIRAI WEST MAGORO MAGORO TC MAHYORO MAMBA MOROTO TOWN MOROTO TOWN COUNCIL MUKUNYU MUNANGA MYERI NAKASONGA T/C NAKATUNYA TRADING CENTER NAKAWOLO NDHEW T/C NEBBI TOWN NEBBI/PAIDHA NTOROKO ROAD NYALAVULU TC NYAMWANDALA NYARAVURU OCENS PLACE OGODAI STAGE OKWANG CENTRAL OLEO CENTER OLWENYI T/C OMUKARERE TC OPARAMO OPETA OPOTA TRADING CENTER ORIAMO TRADING CENTER ORIDIO TRADING CENTER OWEKO TC OWILO T/C OYERE PACERU T/C PAGAGI T/C PAJULE CENTER PANYIMUR MARKET PANYIMUR MKT PATONGO TOWN COUNCIL PUKWERO T/C PUNUTAR B PURANGA CENTER RUGOMBE RWAMUKOORA RYMONDS SHOP SAZZA TAGE(KOBIL) SIGN POST TRADING CENTER SMALL WORLD SSAZA PETROL STATION THATHE VILLAGE TOROMA TOROMO TC UNJUKU LOWER USUK WALUSI WANKAWA T/C 6 com5_q3 6 com5_q3 6 com5_q3 6 com5_q3 6 com5_q3 495 3 1000 999998 54018.586 218395.798 6 com5_q4 6 com5_q4 6 com5_q4 6 com5_q4 6 com5_q4 498 1 kg 2 Litres 3 Single Piece price of sugar (Kg) price of sugar (Kg) price of sugar (Kg) price of sugar (Kg) price of sugar (Kg) 494 4 2400 5000 3617.004 453.87 498 1 price of salt (Kg) price of salt (Kg) price of salt (Kg) price of salt (Kg) price of salt (Kg) 494 4 100 12000 1013.158 805.262 498 1 price of cooking oil (litre) price of cooking oil (litre) price of cooking oil (litre) price of cooking oil (litre) price of cooking oil (litre) 492 6 1000 10000 5885.569 1144.995 498 1 price of maize flour(Kg) price of maize flour(Kg) price of maize flour(Kg) price of maize flour(Kg) price of maize flour(Kg) 483 15 300 4000 1994.306 465.17 497 1 1 Sysmiss price of bar soap price of bar soap price of bar soap price of bar soap price of bar soap 493 5 200 6000 783.57 797.343 498 1 price of paraffin(litre) price of paraffin(litre) price of paraffin(litre) price of paraffin(litre) price of paraffin(litre) 470 28 1000 6500 3700.532 744.034 498 1 sugar bought in this LC1 sugar bought in this LC1 sugar bought in this LC1 sugar bought in this LC1 sugar bought in this LC1 498 1 sugar bought in nearest local trading centre sugar bought in nearest local trading centre sugar bought in nearest local trading centre sugar bought in nearest local trading centre sugar bought in nearest local trading centre 498 1 sugar bought in nearby village/town sugar bought in nearby village/town sugar bought in nearby village/town sugar bought in nearby village/town sugar bought in nearby village/town 498 1 sugar not available in any of the above sugar not available in any of the above sugar not available in any of the above sugar not available in any of the above sugar not available in any of the above 498 salt bought in this LC1 salt bought in this LC1 salt bought in this LC1 salt bought in this LC1 salt bought in this LC1 498 1 salt bought in nearest local trading centre salt bought in nearest local trading centre salt bought in nearest local trading centre salt bought in nearest local trading centre salt bought in nearest local trading centre 498 1 salt bought in nearby village/town salt bought in nearby village/town salt bought in nearby village/town salt bought in nearby village/town salt bought in nearby village/town 498 1 salt not available in any of the above salt not available in any of the above salt not available in any of the above salt not available in any of the above salt not available in any of the above 498 1 cooking oil bought in this LC1 cooking oil bought in this LC1 cooking oil bought in this LC1 cooking oil bought in this LC1 cooking oil bought in this LC1 498 1 cooking oil bought in nearest local trading centre cooking oil bought in nearest local trading centre cooking oil bought in nearest local trading centre cooking oil bought in nearest local trading centre cooking oil bought in nearest local trading centre 498 1 cooking oil bought in nearby village/town cooking oil bought in nearby village/town cooking oil bought in nearby village/town cooking oil bought in nearby village/town cooking oil bought in nearby village/town 498 1 cooking oil not available in any of the above cooking oil not available in any of the above cooking oil not available in any of the above cooking oil not available in any of the above cooking oil not available in any of the above 498 1 maize flour bought in this LC1 maize flour bought in this LC1 maize flour bought in this LC1 maize flour bought in this LC1 maize flour bought in this LC1 497 1 1 Sysmiss maize flour bought in nearest local trading centre maize flour bought in nearest local trading centre maize flour bought in nearest local trading centre maize flour bought in nearest local trading centre maize flour bought in nearest local trading centre 497 1 1 Sysmiss maize flour bought in nearby village/town maize flour bought in nearby village/town maize flour bought in nearby village/town maize flour bought in nearby village/town maize flour bought in nearby village/town 497 1 1 Sysmiss maize flour not available in any of the above maize flour not available in any of the above maize flour not available in any of the above maize flour not available in any of the above maize flour not available in any of the above 497 1 1 Sysmiss bar soap bought in this LC1 bar soap bought in this LC1 bar soap bought in this LC1 bar soap bought in this LC1 bar soap bought in this LC1 498 1 bar soap bought in nearest local trading centre bar soap bought in nearest local trading centre bar soap bought in nearest local trading centre bar soap bought in nearest local trading centre bar soap bought in nearest local trading centre 498 1 bar soap bought in nearby village/town bar soap bought in nearby village/town bar soap bought in nearby village/town bar soap bought in nearby village/town bar soap bought in nearby village/town 498 1 bar soap not available in any of the above bar soap not available in any of the above bar soap not available in any of the above bar soap not available in any of the above bar soap not available in any of the above 498 1 paraffin bought in this LC1 paraffin bought in this LC1 paraffin bought in this LC1 paraffin bought in this LC1 paraffin bought in this LC1 498 1 paraffin bought in nearest local trading centre paraffin bought in nearest local trading centre paraffin bought in nearest local trading centre paraffin bought in nearest local trading centre paraffin bought in nearest local trading centre 498 1 paraffin bought in nearby village/town paraffin bought in nearby village/town paraffin bought in nearby village/town paraffin bought in nearby village/town paraffin bought in nearby village/town 498 1 paraffin not available in any of the above paraffin not available in any of the above paraffin not available in any of the above paraffin not available in any of the above paraffin not available in any of the above 498 1 (mean) targetingmethod (mean) targetingmethod (mean) targetingmethod (mean) targetingmethod (mean) targetingmethod 498 1 2 household id household id household id household id household id 33400 10310301020014 41511408020164 30816591302707.3 7508900219243.38 FCS foodgroups FCS foodgroups FCS foodgroups FCS foodgroups FCS foodgroups 33400 1 Main Staples 2 Pulses 3 Vegetables 4 Fruit 5 Meat & Fish 6 Milk 7 Sugar 8 Oil Frequency of Food Consumption Frequency of Food Consumption Frequency of Food Consumption Frequency of Food Consumption Frequency of Food Consumption 33400 1 2 3 4 5 6 7 (mean) missingtag (mean) missingtag (mean) missingtag (mean) missingtag (mean) missingtag 1576 31824 1 Sysmiss FCS food weights FCS food weights FCS food weights FCS food weights FCS food weights 33400 0.5 4 2 1.392 33400 28 4.835 6.538 Food Consumption Score Food Consumption Score Food Consumption Score Food Consumption Score Food Consumption Score 31824 1576 108 40.599 16.865 Serial Number Serial Number Serial Number Serial Number Serial Number 31216 2184 1 3970 1972.401 1135.54 (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod 31840 1560 SCG 1 VFSG Sysmiss actual treatment status actual treatment status actual treatment status actual treatment status actual treatment status 31216 2184 Control 1 Treatment 2 Do not know SAGE Sysmiss baseline treatment group baseline treatment group baseline treatment group baseline treatment group baseline treatment group 31840 1560 Control 1 Treatment Sysmiss Community ID Community ID Community ID Community ID Community ID 33400 1031030102 4151140802 3081657706.998 750889961.298 District District District District District 33400 APAC KABERAMAIDO KATAKWI KIBOGA KYENJOJO MOROTO NAKAPIRIPIRIT NEBBI County County County County County 33400 CHEKWII JONAM KABERAMAIDO KALAKI KIBOGA KWANIA MARUZI MATHENIKO MOROTO MUNICIPALITY MWENGE PADYERE PIAN TOROMA USUK Sub-County Sub-County Sub-County Sub-County Sub-County 33400 ABONGOMOLA ADUKU AKOKORO ALWA ANYARA APAC ATEGO BUGAAKI BUTIITI CHAWENTE CHEGERE ERUSSI IBUJE KABERAMAIDO TOWN COUNCIL KAKOMONGOLE KALAKI KAPEKE KAPUJAN KATOOKE TOWN COUNCIL KIBOGA TOWN COUNCIL KIGARAALE KISOJO KITOOKE KUCWINY KYARUSOZI KYENJOJO TOWN COUNCIL MAGORO NABILATUK NADUNGET NAMBEISO NDHEW NEBBI TOWN COUNCIL NYANTUNGO OCHERO OMODOI PAKWACH PAKWACH TOWN COUNCIL PANYANGO PANYIMUR RUPA SOUTH DIVISION TOROMA USUK Parish Parish Parish Parish Parish 33400 AAKUM ABALANG ABANY ABAR EAST ABAR WEST ABEDI ABINDU WARD ABOKO ABONGO ABULI ABWOKODIA ABWONG ACABA ACEGERETOLIM ACENLWORO ACHERER ACHUNGI ADEM ADOLO ADYEDA AGANGA AGONG AJAR AKALI AKERE AKETO AKOKORO AKURAO AKUYAM ALARO ALIDO ALIRA ALWOROCENG AMII- AMILO AMII-ABERIDWOGO AMOR WARD AMOR WEST AMORIGOGA AMUN AMUSIA ANGODINGODI ANWANGI ANYARA AORNGA APARISIA APIRE APOI APUUTON ASURET ATANA ATIGOLWOK ATIK ATONGTIDI ATOPI ATULE ATYAK AWILA AYABI AYAGO AYEOLYEC BAMUSUUTA WARD BARAHIIJA BARODILO BORO BUCUNI WARD BUNG BURARRO BUSANZA BUTARA BUTIITI BUZIBWEERA WARD BWENZI CAMPSWAHILI JUU CAMPSWAHILLICHIN CENTRAL WARD CHEGERE CHELEUKO ENJERU ETEKOBER FOREST WARD GANDA HAKATOMA HIMA ILEE ISANDARA JUKIA WARD KABAALE KADINYA KAFUNDA PARISH KAGAA KAGOBE KAIHURA KAKERE KAKINDO KALAKI KALOKWAMERI KAMENU KAMUDA KANYALAM KAPUJAN KASABA KASEGA KASENYI KATAMBALE KATARA WARD KAYEERA KIBIRA KIBOGA TOWN WARD KIDILANI KIGOYERA KIGUNDU KIHUMIRO KIJUMA KIKODA KINOGERO PARISH KIRONGO WARD KIRULUMBA WARD KISOJO KITONGOLE KITONYA KIVUJE KOKORIO KORITOK KORYAMO KOTHIKE KUNGU KYABAGONZA KYABARANGA KYAKATWIRE KYAMITARA KYAMUGENYI KYAMUTASA KYANYABONGO WARD KYAYIMBA KYONGERA LOBODEGI LOBUNEIT LOKAALA LOPUTUK LOTIRIR MABAALE MAGORO MAJENGO MIRAMBI MITOMA MOGOTH MORUANGIBUIN MUKALE MUKUNYU MWARO WARD MYERI PARISH NABOLITH NADUNGET NAITAKWAE NAKADELI NAKOBEKOBE NAMRWODO WARD NAMTHIN WARD NATOPOJO NEBBI HILL WARD NSINDE NTOMA NYACARA WARD NYAIBANDA NYAKAGEI NYAKISI PARISH NYAMABUGA OGWIL OGWOLO OLAGO OLOLANGO OLYEJO OMID OMINYA OMWIBALE ONGEMA ONGICIA ONGOCENG OPETA ORIMAI OWEKO OWINY PACEGO PACHAKA PADOLO PAJUR PAKIA PALATAU PAMINYA LOWER PAMINYA UPPER PAMITU PAMORA UPPER PAROKETO PAYERA POKWERO PUNUATAR PUPU PUVUNGU CENTRAL PUVUNGU WEST RAMOGI RUBANGO RUHOKO RUPA RWAITENGYA RWAMUKOORA SWAGERE TAROGALI TEBOKE TEI-ORO THATHA WARD TOKORA TOROMA USUK VURR Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse 33400 1.535 53.398 17.743 8.067 Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse 33400 1.389 42.718 17.616 7.868 Village Village Village Village Village 33400 1 377 186.757 109.148 household id household id household id household id household id 4175 10310301020014 41511408020164 30816591302707.6 7509687227315.13 result of interview result of interview result of interview result of interview result of interview 4175 1 interviewed 2 interview incomplete 3 household not found 4 household members temporarily not at home 5 household refused 6 household moved permanently 97 others hh13 q1:in the past 30 days, was there ever no food to eat of any kind in your h hh13 q1:in the past 30 days, was there ever no food to eat of any kind in your h hh13 q1:in the past 30 days, was there ever no food to eat of any kind in your h hh13 q1:in the past 30 days, was there ever no food to eat of any kind in your h hh13 q1:in the past 30 days, was there ever no food to eat of any kind in your h 4175 1 yes 2 no 98 hh13 q2: how often did this happen in the past 30 days ? hh13 q2: how often did this happen in the past 30 days ? hh13 q2: how often did this happen in the past 30 days ? hh13 q2: how often did this happen in the past 30 days ? hh13 q2: how often did this happen in the past 30 days ? 2119 2056 1 rarely (1 – 2 days) 2 sometimes (3 – 10 days) 3 often (more than 10 days) 98 Sysmiss hh13 q3:in the past 30 days, did you or any household member go to sleep at nigh hh13 q3:in the past 30 days, did you or any household member go to sleep at nigh hh13 q3:in the past 30 days, did you or any household member go to sleep at nigh hh13 q3:in the past 30 days, did you or any household member go to sleep at nigh hh13 q3:in the past 30 days, did you or any household member go to sleep at nigh 4175 1 yes 2 no 98 dk/na hh13 q4: how often did this happen in the past 30 days? hh13 q4: how often did this happen in the past 30 days? hh13 q4: how often did this happen in the past 30 days? hh13 q4: how often did this happen in the past 30 days? hh13 q4: how often did this happen in the past 30 days? 2116 2059 1 rarely (1 – 2 days) 2 sometimes (3 – 10 days) 3 often (more than 10 days) 98 dk/na Sysmiss hh13 q5:in the past 30 days, did you or any household member go a whole day and hh13 q5:in the past 30 days, did you or any household member go a whole day and hh13 q5:in the past 30 days, did you or any household member go a whole day and hh13 q5:in the past 30 days, did you or any household member go a whole day and hh13 q5:in the past 30 days, did you or any household member go a whole day and 4175 1 yes 2 no 98 dk/na hh13 q6:how often did this happen in the past 30 days? hh13 q6:how often did this happen in the past 30 days? hh13 q6:how often did this happen in the past 30 days? hh13 q6:how often did this happen in the past 30 days? hh13 q6:how often did this happen in the past 30 days? 1093 3082 1 rarely (1 – 2 days) 2 sometimes (3 – 10 days) 3 often (more than 10 days) 98 dk/na Sysmiss 3963 212 1 2 Sysmiss 3967 208 1 2 Sysmiss 3967 208 1 2 Sysmiss Fanta Household Hunger Scale Fanta Household Hunger Scale Fanta Household Hunger Scale Fanta Household Hunger Scale Fanta Household Hunger Scale 3953 222 1 2 3 4 5 6 Sysmiss Fanta HHS Categories Fanta HHS Categories Fanta HHS Categories Fanta HHS Categories Fanta HHS Categories 3953 222 1 Little or no hunger in the household 2 Moderate hunger in the household 3 Severe hunger in the household 4 Missing Sysmiss hungercategory==Little or no hunger in the household hungercategory==Little or no hunger in the household hungercategory==Little or no hunger in the household hungercategory==Little or no hunger in the household hungercategory==Little or no hunger in the household 3953 222 1 Sysmiss hungercategory==Moderate hunger in the household hungercategory==Moderate hunger in the household hungercategory==Moderate hunger in the household hungercategory==Moderate hunger in the household hungercategory==Moderate hunger in the household 3953 222 1 Sysmiss hungercategory==Severe hunger in the household hungercategory==Severe hunger in the household hungercategory==Severe hunger in the household hungercategory==Severe hunger in the household hungercategory==Severe hunger in the household 3953 222 1 Sysmiss Food Consumption Score Food Consumption Score Food Consumption Score Food Consumption Score Food Consumption Score 3978 197 108 40.599 16.867 Tag for missing households Tag for missing households Tag for missing households Tag for missing households Tag for missing households 197 3978 1 Sysmiss FCS food profile FCS food profile FCS food profile FCS food profile FCS food profile 4175 1 Poor 2 Borderline 3 Acceptable foodprofile==Poor foodprofile==Poor foodprofile==Poor foodprofile==Poor foodprofile==Poor 4175 1 foodprofile==Borderline foodprofile==Borderline foodprofile==Borderline foodprofile==Borderline foodprofile==Borderline 4175 1 foodprofile==Acceptable foodprofile==Acceptable foodprofile==Acceptable foodprofile==Acceptable foodprofile==Acceptable 4175 1 Serial Number Serial Number Serial Number Serial Number Serial Number 3902 273 1 3970 1972.401 1135.667 (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod 3980 195 SCG 1 VFSG Sysmiss actual treatment status actual treatment status actual treatment status actual treatment status actual treatment status 3902 273 Control 1 Treatment 2 Do not know SAGE Sysmiss baseline treatment group baseline treatment group baseline treatment group baseline treatment group baseline treatment group 3980 195 Control 1 Treatment Sysmiss Community ID Community ID Community ID Community ID Community ID 4175 1031030102 4151140802 3081657706.998 750968662.098 District District District District District 4175 APAC KABERAMAIDO KATAKWI KIBOGA KYENJOJO MOROTO NAKAPIRIPIRIT NEBBI County County County County County 4175 CHEKWII JONAM KABERAMAIDO KALAKI KIBOGA KWANIA MARUZI MATHENIKO MOROTO MUNICIPALITY MWENGE PADYERE PIAN TOROMA USUK Sub-County Sub-County Sub-County Sub-County Sub-County 4175 ABONGOMOLA ADUKU AKOKORO ALWA ANYARA APAC ATEGO BUGAAKI BUTIITI CHAWENTE CHEGERE ERUSSI IBUJE KABERAMAIDO TOWN COUNCIL KAKOMONGOLE KALAKI KAPEKE KAPUJAN KATOOKE TOWN COUNCIL KIBOGA TOWN COUNCIL KIGARAALE KISOJO KITOOKE KUCWINY KYARUSOZI KYENJOJO TOWN COUNCIL MAGORO NABILATUK NADUNGET NAMBEISO NDHEW NEBBI TOWN COUNCIL NYANTUNGO OCHERO OMODOI PAKWACH PAKWACH TOWN COUNCIL PANYANGO PANYIMUR RUPA SOUTH DIVISION TOROMA USUK Parish Parish Parish Parish Parish 4175 AAKUM ABALANG ABANY ABAR EAST ABAR WEST ABEDI ABINDU WARD ABOKO ABONGO ABULI ABWOKODIA ABWONG ACABA ACEGERETOLIM ACENLWORO ACHERER ACHUNGI ADEM ADOLO ADYEDA AGANGA AGONG AJAR AKALI AKERE AKETO AKOKORO AKURAO AKUYAM ALARO ALIDO ALIRA ALWOROCENG AMII- AMILO AMII-ABERIDWOGO AMOR WARD AMOR WEST AMORIGOGA AMUN AMUSIA ANGODINGODI ANWANGI ANYARA AORNGA APARISIA APIRE APOI APUUTON ASURET ATANA ATIGOLWOK ATIK ATONGTIDI ATOPI ATULE ATYAK AWILA AYABI AYAGO AYEOLYEC BAMUSUUTA WARD BARAHIIJA BARODILO BORO BUCUNI WARD BUNG BURARRO BUSANZA BUTARA BUTIITI BUZIBWEERA WARD BWENZI CAMPSWAHILI JUU CAMPSWAHILLICHIN CENTRAL WARD CHEGERE CHELEUKO ENJERU ETEKOBER FOREST WARD GANDA HAKATOMA HIMA ILEE ISANDARA JUKIA WARD KABAALE KADINYA KAFUNDA PARISH KAGAA KAGOBE KAIHURA KAKERE KAKINDO KALAKI KALOKWAMERI KAMENU KAMUDA KANYALAM KAPUJAN KASABA KASEGA KASENYI KATAMBALE KATARA WARD KAYEERA KIBIRA KIBOGA TOWN WARD KIDILANI KIGOYERA KIGUNDU KIHUMIRO KIJUMA KIKODA KINOGERO PARISH KIRONGO WARD KIRULUMBA WARD KISOJO KITONGOLE KITONYA KIVUJE KOKORIO KORITOK KORYAMO KOTHIKE KUNGU KYABAGONZA KYABARANGA KYAKATWIRE KYAMITARA KYAMUGENYI KYAMUTASA KYANYABONGO WARD KYAYIMBA KYONGERA LOBODEGI LOBUNEIT LOKAALA LOPUTUK LOTIRIR MABAALE MAGORO MAJENGO MIRAMBI MITOMA MOGOTH MORUANGIBUIN MUKALE MUKUNYU MWARO WARD MYERI PARISH NABOLITH NADUNGET NAITAKWAE NAKADELI NAKOBEKOBE NAMRWODO WARD NAMTHIN WARD NATOPOJO NEBBI HILL WARD NSINDE NTOMA NYACARA WARD NYAIBANDA NYAKAGEI NYAKISI PARISH NYAMABUGA OGWIL OGWOLO OLAGO OLOLANGO OLYEJO OMID OMINYA OMWIBALE ONGEMA ONGICIA ONGOCENG OPETA ORIMAI OWEKO OWINY PACEGO PACHAKA PADOLO PAJUR PAKIA PALATAU PAMINYA LOWER PAMINYA UPPER PAMITU PAMORA UPPER PAROKETO PAYERA POKWERO PUNUATAR PUPU PUVUNGU CENTRAL PUVUNGU WEST RAMOGI RUBANGO RUHOKO RUPA RWAITENGYA RWAMUKOORA SWAGERE TAROGALI TEBOKE TEI-ORO THATHA WARD TOKORA TOROMA USUK VURR Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse 4175 1.535 53.398 17.743 8.068 Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse 4175 1.389 42.718 17.616 7.869 Village Village Village Village Village 4175 1 377 186.757 109.159 serial number serial number serial number serial number serial number 17748 1 4194 2096.834 1207.471 household id household id household id household id household id 17748 10310301020014 41511408020164 30714136281089.6 7340511077643.14 member id member id member id member id member id 17748 1 2 3 4 5 6 7 8 9 10 15 16 17 18 20 21 hh1 q2:age of respondent hh1 q2:age of respondent hh1 q2:age of respondent hh1 q2:age of respondent hh1 q2:age of respondent 17748 5 98 27.502 22.008 how was date of birth recorded? how was date of birth recorded? how was date of birth recorded? how was date of birth recorded? how was date of birth recorded? 17748 1 national id / passport 2 birth certificate 3 voter’s card 4 immunisation card 5 baptism card 6 event calendar 7 self-reported 97 others 98 dk/na hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? 632 AUNT AUNT RECALL AUNTY RECALLED BEING TOLD BY THE HUSBAND BIRTH REGISTER BOOK BOOK RECORD BOOK RECORD KEPT BOOKS RECORDS BROTHER BROTHER RECALLED BROTHER RECODED CANT REMEMBER CARETAKER CERTIFICATE OF REGISTRATION CHAIRMAN CHILD HEALTH CARD CODE GOT FROM HOUSEHOLD REGIS DAD DAUGHTER DAUGHTER IN-LAW TO THE HHOLD DAUGHTER IN-LAW TO THE HHOLD DAUGHTER INLAW DAUGHTER REMEMBERED DRIVING PERMIT FAMILY BOOK FAMILY GRACE FAMILY RECORD BOOK FAMILY RECORDS FAMILY REG FAMILY REGISTER BOOK FATHER FATHER RECAL FATHER RECALE FATHER RECALL FATHER RECALLED FATHER RECORDS FATHERRECAL GRAND GRAND MOM GRAND MOTHER GRAND MOTHER REMEMBERED GRANDCHILD RECALLED GRANDFATHER GRANDMOTHER GRANDMOTHER CALL GRANDMOTHER RECALLED GRANDMOTHER REPORTED GRANDMUM GRANDY GUARDIAN RECALLED HE WROTE ALL THE CHILDRENS BI HEALTH CARD HIDDEN REPORT HOME BIRTH REGISTER HOME BORTH REGISTER HOME RECORD HOME REGISTER HOUSEHOLD REGISTER WAS USED HUSBAND RECALLED IDENTITY CARD LC RECORDS LCI ROSTER MARRIAGE CARD MEDICAL FORM MOTHER MOTHER RECAL MOTHER RECALL MOTHER RECALLED MOTHERS RECALL MOTHER`S RECALL MRM MRM CARD NRM NRM CARD NRM MEMBERSHIP CARD NRM REGOSTER NRN CARD OCEN AND OPIO ARE TWINS OTHER RECALL PARENT/ BROTHER PARTY CARD PARTY ID REAL WIFE RECAL RECAL WIFE RECALL RECALL AUNT RECALL BROTHER RECALL BY GRANDMOTHER RECALL FATHER RECALL GRANDMOTHER RECALL MOTHER RECALL SON RECALLED RECALLED BY GRANDMOTHER RECALLED BY THE GRANDMOTHER M RECORD BOOK RECORDED DATA RECORDS REGISTER REPORTED BY GRANDFATHER ROCALL SISTER SOME ONE RECALL SOMEBODY RESPONDED SON SON RECALL SPOUSE UNCLE VILAGE HOUSEHOLD REGISTER VILLAGE HOUSE HOLD REGISTER VILLAGE HOUSEHOLD REGISTER VORTERS REPORT VOTERS RECIEPT WIFE WIFE RECALL WIFE RECALLED WRITTEN hh1 q5:gender hh1 q5:gender hh1 q5:gender hh1 q5:gender hh1 q5:gender 17748 1 male 2 female 98 dk/na hh1 q6:what is [name]’s relation to the head of house? hh1 q6:what is [name]’s relation to the head of house? hh1 q6:what is [name]’s relation to the head of house? hh1 q6:what is [name]’s relation to the head of house? hh1 q6:what is [name]’s relation to the head of house? 17748 1 head 2 spouse 3 son/daughter 4 grand child 5 father/mother 6 brother/sister 7 nephew/niece 8 son/daughter-in-law 9 brother/sister-in-law 10 father/mother-in-law 11 grand father/ mother 12 uncle/ aunt 13 servant and their relatives 77 other 97 others 98 dk/na hh1 q7:what is [name]’s current marital status? hh1 q7:what is [name]’s current marital status? hh1 q7:what is [name]’s current marital status? hh1 q7:what is [name]’s current marital status? hh1 q7:what is [name]’s current marital status? 17748 1 married monogamous 2 married polygamous 3 widow / widower 4 divorced / separated 5 never married 98 hh1_q8:what is the id code of [name]’s spouse? hh1_q8:what is the id code of [name]’s spouse? hh1_q8:what is the id code of [name]’s spouse? hh1_q8:what is the id code of [name]’s spouse? hh1_q8:what is the id code of [name]’s spouse? 4761 12987 1 99 12.963 31.066 hh1_q9:is [name]’s father still alive? hh1_q9:is [name]’s father still alive? hh1_q9:is [name]’s father still alive? hh1_q9:is [name]’s father still alive? hh1_q9:is [name]’s father still alive? 8638 9110 1 yes 2 no 98 don't know Sysmiss hh1_q10:what is the id code of [name]’s father? hh1_q10:what is the id code of [name]’s father? hh1_q10:what is the id code of [name]’s father? hh1_q10:what is the id code of [name]’s father? hh1_q10:what is the id code of [name]’s father? 6735 11013 1 2 3 4 5 6 7 8 9 10 12 98 99 not in the roster Sysmiss hh1 q11:what is the highest level of education completed by [name]’s father? hh1 q11:what is the highest level of education completed by [name]’s father? hh1 q11:what is the highest level of education completed by [name]’s father? hh1 q11:what is the highest level of education completed by [name]’s father? hh1 q11:what is the highest level of education completed by [name]’s father? 7976 9772 1 no education 2 p1 3 p2 4 p3 5 p4 6 p5 7 p6 8 p7 9 s1 10 s2 11 s3 12 s4 13 s5 14 s6 15 post sec. training/diploma 16 undergraduate degree 17 postgraduate degree 18 post primary vocational training 97 don’t know 98 Sysmiss hh1_q12 is [name]’s mother still alive? hh1_q12 is [name]’s mother still alive? hh1_q12 is [name]’s mother still alive? hh1_q12 is [name]’s mother still alive? hh1_q12 is [name]’s mother still alive? 8638 9110 1 yes 2 no 98 don't know Sysmiss hh1_q13: what is the id code of [name]’s mother? hh1_q13: what is the id code of [name]’s mother? hh1_q13: what is the id code of [name]’s mother? hh1_q13: what is the id code of [name]’s mother? hh1_q13: what is the id code of [name]’s mother? 7902 9846 1 2 3 4 5 6 7 8 9 10 97 98 99 not in the roster Sysmiss hh1 q14:what is the highest level of education completed by [name]’s mother? hh1 q14:what is the highest level of education completed by [name]’s mother? hh1 q14:what is the highest level of education completed by [name]’s mother? hh1 q14:what is the highest level of education completed by [name]’s mother? hh1 q14:what is the highest level of education completed by [name]’s mother? 8357 9391 1 no education 2 p1 3 p2 4 p3 5 p4 6 p5 7 p6 8 p7 9 s1 10 s2 11 s3 12 s4 13 s5 14 s6 15 post sec. training/diploma 16 undergraduate degree 17 postgraduate degree 18 post primary vocational training 97 don’t know Sysmiss hh1 q15:did [name] sleep under a mosquito net last night? hh1 q15:did [name] sleep under a mosquito net last night? hh1 q15:did [name] sleep under a mosquito net last night? hh1 q15:did [name] sleep under a mosquito net last night? hh1 q15:did [name] sleep under a mosquito net last night? 17748 1 yes 2 no 97 others 98 don't know hh1 q16:is this net currently treated? hh1 q16:is this net currently treated? hh1 q16:is this net currently treated? hh1 q16:is this net currently treated? hh1 q16:is this net currently treated? 6241 11507 1 yes, permanet (long lasting net) 2 yes, net bought within last 12 months 3 yes, treated in the last 12 months 4 not treated 98 don’t know Sysmiss hh1 q17:does [name] have a blanket under which [name] can sleep when it gets co hh1 q17:does [name] have a blanket under which [name] can sleep when it gets co hh1 q17:does [name] have a blanket under which [name] can sleep when it gets co hh1 q17:does [name] have a blanket under which [name] can sleep when it gets co hh1 q17:does [name] have a blanket under which [name] can sleep when it gets co 17748 1 yes, own 2 yes, shared 3 no 98 dk/na hh1 q18: how many meals did [name] eat yesterday? hh1 q18: how many meals did [name] eat yesterday? hh1 q18: how many meals did [name] eat yesterday? hh1 q18: how many meals did [name] eat yesterday? hh1 q18: how many meals did [name] eat yesterday? 17748 99 3.088 11.081 hh1 q19: is [name] disable in any way? hh1 q19: is [name] disable in any way? hh1 q19: is [name] disable in any way? hh1 q19: is [name] disable in any way? hh1 q19: is [name] disable in any way? 17748 1 yes 2 no 98 dk/na hh1 q20: was [name] residing in this household 12 months ago? hh1 q20: was [name] residing in this household 12 months ago? hh1 q20: was [name] residing in this household 12 months ago? hh1 q20: was [name] residing in this household 12 months ago? hh1 q20: was [name] residing in this household 12 months ago? 17748 1 same household 2 new-born into this household 3 different household/ same community 4 different household/ different community 98 dk/na hh1 q21: why did [name] move from his hh1 q21: why did [name] move from his hh1 q21: why did [name] move from his hh1 q21: why did [name] move from his hh1 q21: why did [name] move from his 301 17447 1 for education 2 back from school/studies 3 for employment 4 transfer of head of household 5 previous household could not afford to keep him/her 6 death of parent/guardian 7 death of spouse 8 marriage 9 new household 10 retrenchment 11 retirement 12 decided to resettle 13 found new agricultural land 14 starting a non-agricultural business 15 refugee/asylum seeker 97 other 98 dk/na Sysmiss hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others 39 ABANDONED BY THEIR PARENTS ATTEND TO PATIENT BROGHT HIM TO HELP CALLED TO LOOK AFTER THE HOME AS T CONFLICT DISASTER BURNT MY HOUSE DIVORCE DIVORCED DOMESTIC VIOLENCE FAMILY BREAK UP FOLLOWED THE MOTHER FOLLOWED THE MOTHER WHO GOT MARRIE HIS SECOND HOUSEHOLD MIGRATED TO HELP THEIR CHILDREN MIGRATED TO HELP THEIR GRAND MOTHE MY HOUSE GOT BURNT PARENTS DIVORCED RETURN TO FAMILY SEPARATION TAKING CARE OF SICK GRANDMOTHER THE GRAND MOTHER SEND HER BACK TO TO HELP FATHER /VISITING TO HELP FATHER/VISITING TO HELP THE GRANDMOTHER TO TAKE CARE OF HER CHILDREN TREATING AND TAKING CARE OF MU MUM TREATMENT VISIT hh4_q1:is [name] eligible? (5 years and older) hh4_q1:is [name] eligible? (5 years and older) hh4_q1:is [name] eligible? (5 years and older) hh4_q1:is [name] eligible? (5 years and older) hh4_q1:is [name] eligible? (5 years and older) 17748 1 yes 2 no 97 others 98 dk/na hh4_q2:during the last 7 days has [name] worked for payment in cash/in-kind out hh4_q2:during the last 7 days has [name] worked for payment in cash/in-kind out hh4_q2:during the last 7 days has [name] worked for payment in cash/in-kind out hh4_q2:during the last 7 days has [name] worked for payment in cash/in-kind out hh4_q2:during the last 7 days has [name] worked for payment in cash/in-kind out 17748 1 yes 2 no 98 don't know hh4_q3:during the past 7 days has [name] worked on household owned land or with hh4_q3:during the past 7 days has [name] worked on household owned land or with hh4_q3:during the past 7 days has [name] worked on household owned land or with hh4_q3:during the past 7 days has [name] worked on household owned land or with hh4_q3:during the past 7 days has [name] worked on household owned land or with 17748 1 yes 2 no 98 don't know hh4_q4:during the past 7 days has [name] worked in his/her own business or busi hh4_q4:during the past 7 days has [name] worked in his/her own business or busi hh4_q4:during the past 7 days has [name] worked in his/her own business or busi hh4_q4:during the past 7 days has [name] worked in his/her own business or busi hh4_q4:during the past 7 days has [name] worked in his/her own business or busi 17748 1 yes 2 no 98 don't know hh4_q5:even if [name] did not work in the last 7 days for some reason, did [nam hh4_q5:even if [name] did not work in the last 7 days for some reason, did [nam hh4_q5:even if [name] did not work in the last 7 days for some reason, did [nam hh4_q5:even if [name] did not work in the last 7 days for some reason, did [nam hh4_q5:even if [name] did not work in the last 7 days for some reason, did [nam 7488 10260 1 yes 2 no 98 dk/na Sysmiss hh4_q6:has [name] looked for and/or available for work in the last 7 days? hh4_q6:has [name] looked for and/or available for work in the last 7 days? hh4_q6:has [name] looked for and/or available for work in the last 7 days? hh4_q6:has [name] looked for and/or available for work in the last 7 days? hh4_q6:has [name] looked for and/or available for work in the last 7 days? 7122 10626 1 yes 2 no Sysmiss hh4_q7:what is the main reason that [name] did not look for a job in the last 7 hh4_q7:what is the main reason that [name] did not look for a job in the last 7 hh4_q7:what is the main reason that [name] did not look for a job in the last 7 hh4_q7:what is the main reason that [name] did not look for a job in the last 7 hh4_q7:what is the main reason that [name] did not look for a job in the last 7 7337 10411 1 student 2 household duties 3 too young 4 too old/retired 5 disabled 6 sick 7 waiting for a reply from employer 8 waiting for a recall from employer 9 waiting for busy season 97 other Sysmiss hh4_q8a1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8a1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8a1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8a1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8a1:during the last 7 days, how many hours did [name] work on each day - d 10188 7560 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8a2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8a2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8a2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8a2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8a2:during the last 7 days, how many hours did [name] work on each day - h 10088 7660 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 24 98 dk/na Sysmiss hh4_q8b1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8b1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8b1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8b1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8b1:during the last 7 days, how many hours did [name] work on each day - d 10188 7560 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8b2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8b2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8b2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8b2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8b2:during the last 7 days, how many hours did [name] work on each day - h 10090 7658 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 98 dk/na Sysmiss hh4_q8c1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8c1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8c1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8c1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8c1:during the last 7 days, how many hours did [name] work on each day - d 10188 7560 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8c2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8c2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8c2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8c2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8c2:during the last 7 days, how many hours did [name] work on each day - h 10090 7658 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 98 dk/na Sysmiss hh4_q8d1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8d1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8d1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8d1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8d1:during the last 7 days, how many hours did [name] work on each day - d 10188 7560 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8d2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8d2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8d2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8d2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8d2:during the last 7 days, how many hours did [name] work on each day - h 10089 7659 1 2 3 4 5 6 7 8 9 10 11 12 13 14 17 18 98 dk/na Sysmiss hh4_q8e1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8e1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8e1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8e1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8e1:during the last 7 days, how many hours did [name] work on each day - d 10188 7560 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8e2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8e2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8e2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8e2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8e2:during the last 7 days, how many hours did [name] work on each day - h 10085 7663 1 2 3 4 5 6 7 8 9 10 11 12 13 14 16 17 98 dk/na Sysmiss hh4_q8f1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8f1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8f1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8f1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8f1:during the last 7 days, how many hours did [name] work on each day - d 10187 7561 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8f2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8f2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8f2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8f2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8f2:during the last 7 days, how many hours did [name] work on each day - h 10083 7665 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 98 dk/na Sysmiss hh4_q8g1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8g1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8g1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8g1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8g1:during the last 7 days, how many hours did [name] work on each day - d 10188 7560 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8g2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8g2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8g2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8g2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8g2:during the last 7 days, how many hours did [name] work on each day - h 10083 7665 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 24 98 dk/na Sysmiss hh4 q9:what was [name]’s main employment status during the last 7 days? hh4 q9:what was [name]’s main employment status during the last 7 days? hh4 q9:what was [name]’s main employment status during the last 7 days? hh4 q9:what was [name]’s main employment status during the last 7 days? hh4 q9:what was [name]’s main employment status during the last 7 days? 10188 7560 1 employer 2 own account worker 3 unpaid family worker 4 working on home farm 5 gov’t permanent 6 gov’t temporary 7 private permanent 8 private temporary/casual 9 student 98 Sysmiss hh4 q10:what was the nature of [name]’s work (for main employment status) tha hh4 q10:what was the nature of [name]’s work (for main employment status) tha hh4 q10:what was the nature of [name]’s work (for main employment status) tha hh4 q10:what was the nature of [name]’s work (for main employment status) tha hh4 q10:what was the nature of [name]’s work (for main employment status) tha 7604 10144 1 armed forces 11 legislators and senior officials 12 corporate managers 13 general managers skilled agricultural and fishery workers 21 physical, mathematical and engineering science professionals 22 life science and health professionals 23 teaching professionals 24 other professionals craft and related trade workers 31 physical and engineering science associate professionals 32 life science and health associate professionals 33 teaching associate professionals 34 other associate professionals plant and machine operators and assemblers 41 office clerks 42 customer service clerks elementary occupations 51 personal and protective service workers 52 models, sales persons and demonstrators armed forces 61 market oriented skilled agricultural and fishery workers 62 subsistence agricultural and fishery workers 71 extraction and building trade workers 72 metal, machinery and related trades workers 73 precision, handicraft, printing and related trades workers 74 other craft and related trades workers 81 stationary plant and related operators 82 machine operators and assemblers 83 drivers and mobile plant operators 91 sales and services elementary occupations 92 agricultural, fishery and related labourers 93 labourers in mining, construction, manufacturing and transport 97 others 98 dk/na Sysmiss hh4 q10:what was the nature of [name]’s work (for main employment status) that hh4 q11:how many months did [name] work at this main activity during the last 1 hh4 q11:how many months did [name] work at this main activity during the last 1 hh4 q11:how many months did [name] work at this main activity during the last 1 hh4 q11:how many months did [name] work at this main activity during the last 1 hh4 q11:how many months did [name] work at this main activity during the last 1 7725 10023 98 11.871 17.565 hh4 q12:in addition to the main occupation, did [name] also work in any subsidi hh4 q12:in addition to the main occupation, did [name] also work in any subsidi hh4 q12:in addition to the main occupation, did [name] also work in any subsidi hh4 q12:in addition to the main occupation, did [name] also work in any subsidi hh4 q12:in addition to the main occupation, did [name] also work in any subsidi 10188 7560 1 yes 2 no 98 dk/n/a Sysmiss hh4 q13:what was the nature of [name]’s subsidiary occupation during the last hh4 q13:what was the nature of [name]’s subsidiary occupation during the last hh4 q13:what was the nature of [name]’s subsidiary occupation during the last hh4 q13:what was the nature of [name]’s subsidiary occupation during the last hh4 q13:what was the nature of [name]’s subsidiary occupation during the last 3175 14573 1 armed forces 11 legislators and senior officials 12 corporate managers 13 general managers skilled agricultural and fishery workers 21 physical, mathematical and engineering science professionals 22 life science and health professionals 23 teaching professionals 24 other professionals craft and related trade workers 31 physical and engineering science associate professionals 32 life science and health associate professionals 33 teaching associate professionals 34 other associate professionals plant and machine operators and assemblers 41 office clerks 42 customer service clerks elementary occupations 51 personal and protective service workers 52 models, sales persons and demonstrators armed forces 61 market oriented skilled agricultural and fishery workers 62 subsistence agricultural and fishery workers 71 extraction and building trade workers 72 metal, machinery and related trades workers 73 precision, handicraft, printing and related trades workers 74 other craft and related trades workers 81 stationary plant and related operators 82 machine operators and assemblers 83 drivers and mobile plant operators 91 sales and services elementary occupations 92 agricultural, fishery and related labourers 93 labourers in mining, construction, manufacturing and transport 97 others 98 dk/na Sysmiss hh4 q13:what was the nature of [name]’s subsidiary occupation during the last 7 hh4 q14a:what were the main and secondary employment statuses of [name] during t hh4 q14a:what were the main and secondary employment statuses of [name] during t hh4 q14a:what were the main and secondary employment statuses of [name] during t hh4 q14a:what were the main and secondary employment statuses of [name] during t hh4 q14a:what were the main and secondary employment statuses of [name] during t 17747 1 1 employer 2 own account worker 3 unpaid family worker 4 working on home farm 5 gov’t permanent 6 gov’t temporary/casual 7 private permanent 8 private temporary/casual 9 full time student 10 pensioner/retired 11 children not at school 12 none 97 other 98 Sysmiss hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during 11 BABY SITTER BROKER BUSINESS HOUSEHOLD DUTIES HOUSEWIFE INSENE JUST DELIVERED PRISON SERVANT SICK hh4 q14b:what were the main and secondary employment statuses of [name] during t hh4 q14b:what were the main and secondary employment statuses of [name] during t hh4 q14b:what were the main and secondary employment statuses of [name] during t hh4 q14b:what were the main and secondary employment statuses of [name] during t hh4 q14b:what were the main and secondary employment statuses of [name] during t 17745 3 1 employer 2 own account worker 3 unpaid family worker 4 working on home farm 5 gov’t permanent 6 gov’t temporary/casual 7 private permanent 8 private temporary/casual 9 full time student 10 pensioner/retired 11 children not at school 12 none 97 other 98 Sysmiss hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during 43 . DIG FOR MONEY FISHING FISHING- SMALL SCALE MAKING LOCAL BREWS MINING GOLD ORANGE GARDEN PASTOR REVERED SALE OF CHARCOAL SELING LABOUR SELLING FISH SELLING LABOR SELLING LABOUR TRADITIONAL BIRTH ATTENDANT hh4 q15:is [name]’s aged 17 years or below or 50 years and above? hh4 q15:is [name]’s aged 17 years or below or 50 years and above? hh4 q15:is [name]’s aged 17 years or below or 50 years and above? hh4 q15:is [name]’s aged 17 years or below or 50 years and above? hh4 q15:is [name]’s aged 17 years or below or 50 years and above? 17748 1 yes 2 no 98 dk/na hh4 q16:during the past 7 days how many hours did [name] spend fetching water f hh4 q16:during the past 7 days how many hours did [name] spend fetching water f hh4 q16:during the past 7 days how many hours did [name] spend fetching water f hh4 q16:during the past 7 days how many hours did [name] spend fetching water f hh4 q16:during the past 7 days how many hours did [name] spend fetching water f 12142 5606 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 20 21 22 24 25 26 27 28 35 40 42 49 56 60 62 63 66 70 998 dk/na Sysmiss hh4 q17:during the past 7 days how many hours did [name] spend fetching firewoo hh4 q17:during the past 7 days how many hours did [name] spend fetching firewoo hh4 q17:during the past 7 days how many hours did [name] spend fetching firewoo hh4 q17:during the past 7 days how many hours did [name] spend fetching firewoo hh4 q17:during the past 7 days how many hours did [name] spend fetching firewoo 12142 5606 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 20 21 22 24 28 30 35 36 40 42 45 56 998 dk/na Sysmiss hh4 q18:during the past 7 days how many hours did [name] spend cooking for the hh4 q18:during the past 7 days how many hours did [name] spend cooking for the hh4 q18:during the past 7 days how many hours did [name] spend cooking for the hh4 q18:during the past 7 days how many hours did [name] spend cooking for the hh4 q18:during the past 7 days how many hours did [name] spend cooking for the 12142 5606 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 20 21 22 23 24 25 26 27 28 29 30 31 32 35 37 40 42 46 49 59 63 70 998 dk/na Sysmiss hh4 q19:during the past 7 days how many hours did [name] spend caring for child hh4 q19:during the past 7 days how many hours did [name] spend caring for child hh4 q19:during the past 7 days how many hours did [name] spend caring for child hh4 q19:during the past 7 days how many hours did [name] spend caring for child hh4 q19:during the past 7 days how many hours did [name] spend caring for child 12142 5606 1 2 3 4 5 6 7 8 9 10 11 12 14 15 16 18 20 21 22 24 25 28 30 35 36 37 38 40 42 48 49 56 63 70 84 91 998 dk/na Sysmiss hh4 q20:during the past 7 days how many hours did [name] spend doing other chor hh4 q20:during the past 7 days how many hours did [name] spend doing other chor hh4 q20:during the past 7 days how many hours did [name] spend doing other chor hh4 q20:during the past 7 days how many hours did [name] spend doing other chor hh4 q20:during the past 7 days how many hours did [name] spend doing other chor 12142 5606 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 19 20 21 24 25 28 30 35 36 40 42 44 49 56 998 dk/na Sysmiss hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during 6 17742 1 baby sitter 2 broker 3 household duties 4 housewife 5 sick Sysmiss hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during 15 17733 1 dig for money 2 fishing 3 fishing- small scale 4 mining gold 5 orange garden 6 pastor 7 selling labor 8 selling labour 9 traditional birth attendant Sysmiss hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others 13 17735 1 abandoned by their parents 2 baby to house help 3 change in family 4 divorce 5 divorced from husband 6 family break up 7 join parents 8 moved with mother 9 new born 10 parents divorced 11 return to family 12 separation 13 to help father /visiting 14 to help father/visiting 15 treating and taking care of mu mum 16 treatment 17 visit Sysmiss hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? 632 17116 1 AUNT 2 AUNT RECALL 3 AUNTY RECALLED 4 BEING TOLD BY THE HUSBAND 5 BIRTH REGISTER 6 BOOK 7 BOOK RECORD 8 BOOK RECORD KEPT 9 BOOKS RECORDS 10 BROTHER 11 BROTHER RECALLED 12 BROTHER RECODED 13 CANT REMEMBER 14 CARETAKER 15 CERTIFICATE OF REGISTRATION 16 CHAIRMAN 17 CHILD HEALTH CARD 18 CODE GOT FROM HOUSEHOLD REGIS 19 DAD 20 DAUGHTER 21 DAUGHTER IN-LAW TO THE HHOLD 22 DAUGHTER IN-LAW TO THE HHOLD 23 DAUGHTER INLAW 24 DAUGHTER REMEMBERED 25 DRIVING PERMIT 26 FAMILY BOOK 27 FAMILY GRACE 28 FAMILY RECORD BOOK 29 FAMILY RECORDS 30 FAMILY REG 31 FAMILY REGISTER 32 FAMILY REGISTER BOOK 33 FATHER 34 FATHER RECAL 35 FATHER RECALE 36 FATHER RECALL 37 FATHER RECALLED 38 FATHER RECORDS 39 FATHERRECAL 40 FRIEND RECALLED 41 G.MUM 42 GRAND 43 GRAND MOM 44 GRAND MOTHER 45 GRAND MOTHER RECALL 46 GRAND MOTHER RECALLED 47 GRAND MOTHER REMEMBERED 48 GRAND MUM 49 GRANDCHILD RECALLED 50 GRANDFATHER 51 GRANDMOTHER 52 GRANDMOTHER CALL 53 GRANDMOTHER RECALLED 54 GRANDMOTHER REPORTED 55 GRANDMUM 56 GRANDY 57 GUARDIAN RECALLED 58 HE WROTE ALL THE CHILDRENS BI 59 HEALTH CARD 60 HIDDEN REPORT 61 HOME BIRTH REGISTER 62 HOME BORTH REGISTER 63 HOME RECORD 64 HOME REGISTER 65 HOSPITAL BOOK RECORDS 66 HOUSEHOLD REGISTER WAS USED 67 HUSBAND RECALLED 68 IDENTITY CARD 69 IMMUNISATION BOOK 70 LC RECORDS 71 LCI ROSTER 72 MARRIAGE CARD 73 MEDICAL FORM 74 MOTHER 75 MOTHER RECAL 76 MOTHER RECALL 77 MOTHER RECALLED 78 MOTHERS RECALL 79 MOTHER`S RECALL 80 MRM 81 MRM CARD 82 MUM 83 NEIGHBOR RECALLED 84 NRM 85 NRM CARD 86 NRM MEMBERSHIP CARD 87 NRM REGOSTER 88 NRN CARD 89 OCEN AND OPIO ARE TWINS 90 OTHER RECALL 91 PARENT/ BROTHER 92 PARTY CARD 93 PARTY ID 94 REAL WIFE 95 RECAL 96 RECAL WIFE 97 RECALL 98 RECALL AUNT 99 RECALL BROTHER 100 RECALL BY GRANDMOTHER 101 RECALL FATHER 102 RECALL GRANDMOTHER 103 RECALL MOTHER 104 RECALL SON 105 RECALL TRADITIONAL BIRTH ATTE 106 RECALLED 107 RECALLED BY GRANDMOTHER 108 RECALLED BY THE GRANDMOTHER M 109 RECALLED BY THE MOTHER 110 RECAll 111 RECORD BOOK 112 RECORDED DATA 113 RECORDS 114 REGISTER 115 REPORTED BY GRANDFATHER 116 ROCALL 117 SISTER 118 SOME ONE RECALL 119 SOMEBODY RESPONDED 120 SON 121 SON RECALL 122 SON RECALLED 123 SPOUSE 124 UNCLE 125 VILAGE HOUSEHOLD REGISTER 126 VILLAGE HOUSE HOLD REGISTER 127 VILLAGE HOUSEHOLD REGISTER 128 VORTERS REPORT 129 VOTERS RECIEPT 130 WIFE 131 WIFE RECALL 132 WIFE RECALLED 133 WRITTEN 134 WROTE ALL HIS CHILDRENS BIRTH Sysmiss date of interview - day date of interview - day date of interview - day date of interview - day date of interview - day 17702 46 1 31 15.031 9.1 date of interview - month date of interview - month date of interview - month date of interview - month date of interview - month 17658 90 8 9 10 11 Sysmiss date of interview - year date of interview - year date of interview - year date of interview - year date of interview - year 17748 2012 result of interview result of interview result of interview result of interview result of interview 17748 1 interviewed 2 interview incomplete 3 household not found 4 household members temporarily not at home 5 household refused 6 household moved permanently 97 others corrected age corrected age corrected age corrected age corrected age 17748 Sysmiss (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod 17748 SCG 1 VFSG actual treatment status actual treatment status actual treatment status actual treatment status actual treatment status 17486 262 Control 1 Treatment 2 Do not know SAGE Sysmiss baseline treatment group baseline treatment group baseline treatment group baseline treatment group baseline treatment group 17748 Control 1 Treatment Community ID Community ID Community ID Community ID Community ID 17748 1031030102 4151140802 3071412235.905 734051027.629 District District District District District 17748 APAC KABERAMAIDO KATAKWI KIBOGA KYENJOJO MOROTO NAKAPIRIPIRIT NEBBI County County County County County 17748 CHEKWII JONAM KABERAMAIDO KALAKI KIBOGA KWANIA MARUZI MATHENIKO MOROTO MUNICIPALITY MWENGE PADYERE PIAN TOROMA USUK Sub-County Sub-County Sub-County Sub-County Sub-County 17748 ABONGOMOLA ADUKU AKOKORO ALWA ANYARA APAC ATEGO BUGAAKI BUTIITI CHAWENTE CHEGERE ERUSSI IBUJE KABERAMAIDO TOWN COUNCIL KAKOMONGOLE KALAKI KAPEKE KAPUJAN KATOOKE TOWN COUNCIL KIBOGA TOWN COUNCIL KIGARAALE KISOJO KITOOKE KUCWINY KYARUSOZI KYENJOJO TOWN COUNCIL MAGORO NABILATUK NADUNGET NAMBEISO NDHEW NEBBI TOWN COUNCIL NYANTUNGO OCHERO OMODOI PAKWACH PAKWACH TOWN COUNCIL PANYANGO PANYIMUR RUPA SOUTH DIVISION TOROMA USUK Parish Parish Parish Parish Parish 17748 AAKUM ABALANG ABANY ABAR EAST ABAR WEST ABEDI ABINDU WARD ABOKO ABONGO ABULI ABWOKODIA ABWONG ACABA ACEGERETOLIM ACENLWORO ACHERER ACHUNGI ADEM ADOLO ADYEDA AGANGA AGONG AJAR AKALI AKERE AKETO AKOKORO AKURAO AKUYAM ALARO ALIDO ALIRA ALWOROCENG AMII- AMILO AMII-ABERIDWOGO AMOR WARD AMOR WEST AMORIGOGA AMUN AMUSIA ANGODINGODI ANWANGI ANYARA AORNGA APARISIA APIRE APOI APUUTON ASURET ATANA ATIGOLWOK ATIK ATONGTIDI ATOPI ATULE ATYAK AWILA AYABI AYAGO AYEOLYEC BAMUSUUTA WARD BARAHIIJA BARODILO BORO BUCUNI WARD BUNG BURARRO BUSANZA BUTARA BUTIITI BUZIBWEERA WARD BWENZI CAMPSWAHILI JUU CAMPSWAHILLICHIN CENTRAL WARD CHEGERE CHELEUKO ENJERU ETEKOBER FOREST WARD GANDA HAKATOMA HIMA ILEE ISANDARA JUKIA WARD KABAALE KADINYA KAFUNDA PARISH KAGAA KAGOBE KAIHURA KAKERE KAKINDO KALAKI KALOKWAMERI KAMENU KAMUDA KANYALAM KAPUJAN KASABA KASEGA KASENYI KATAMBALE KATARA WARD KAYEERA KIBIRA KIBOGA TOWN WARD KIDILANI KIGOYERA KIGUNDU KIHUMIRO KIJUMA KIKODA KINOGERO PARISH KIRONGO WARD KIRULUMBA WARD KISOJO KITONGOLE KITONYA KIVUJE KOKORIO KORITOK KORYAMO KOTHIKE KUNGU KYABAGONZA KYABARANGA KYAKATWIRE KYAMITARA KYAMUGENYI KYAMUTASA KYANYABONGO WARD KYAYIMBA KYONGERA LOBODEGI LOBUNEIT LOKAALA LOPUTUK LOTIRIR MABAALE MAGORO MAJENGO MIRAMBI MITOMA MOGOTH MORUANGIBUIN MUKALE MUKUNYU MWARO WARD MYERI PARISH NABOLITH NADUNGET NAITAKWAE NAKADELI NAKOBEKOBE NAMRWODO WARD NAMTHIN WARD NATOPOJO NEBBI HILL WARD NSINDE NTOMA NYACARA WARD NYAIBANDA NYAKAGEI NYAKISI PARISH NYAMABUGA OGWIL OGWOLO OLAGO OLOLANGO OLYEJO OMID OMINYA OMWIBALE ONGEMA ONGICIA ONGOCENG OPETA ORIMAI OWEKO OWINY PACEGO PACHAKA PADOLO PAJUR PAKIA PALATAU PAMINYA LOWER PAMINYA UPPER PAMITU PAMORA UPPER PAROKETO PAYERA POKWERO PUNUATAR PUPU PUVUNGU CENTRAL PUVUNGU WEST RAMOGI RUBANGO RUHOKO RUPA RWAITENGYA RWAMUKOORA SWAGERE TAROGALI TEBOKE TEI-ORO THATHA WARD TOKORA TOROMA USUK VURR Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse 17748 1.535 53.398 18.11 7.827 Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse 17748 1.389 42.718 18.026 7.708 Person worked in last 7 days (engaged in economic activity) Person worked in last 7 days (engaged in economic activity) Person worked in last 7 days (engaged in economic activity) Person worked in last 7 days (engaged in economic activity) Person worked in last 7 days (engaged in economic activity) 17748 Did not engage in economic activity 1 Engaged in economic activity Number of hours in worked in last 7 days (everyone) Number of hours in worked in last 7 days (everyone) Number of hours in worked in last 7 days (everyone) Number of hours in worked in last 7 days (everyone) Number of hours in worked in last 7 days (everyone) 17748 84 11.257 14.697 Total hours spent completing household chores Total hours spent completing household chores Total hours spent completing household chores Total hours spent completing household chores Total hours spent completing household chores 12142 5606 175 10.346 13.362 Age group UNHS defn Age group UNHS defn Age group UNHS defn Age group UNHS defn Age group UNHS defn 8637 9111 1 5-11 year olds 2 12-13 year olds 3 14-17 year olds Sysmiss Child labour UNHS 2009 defn Child labour UNHS 2009 defn Child labour UNHS 2009 defn Child labour UNHS 2009 defn Child labour UNHS 2009 defn 8637 9111 Not in child labour 1 Child labour Sysmiss Age group UNICEF defn Age group UNICEF defn Age group UNICEF defn Age group UNICEF defn Age group UNICEF defn 8637 9111 1 5-11 year olds 2 12-14 year olds 3 15-17 year olds Sysmiss Child labour UNICEF defn Child labour UNICEF defn Child labour UNICEF defn Child labour UNICEF defn Child labour UNICEF defn 8637 9111 Not in child labour 1 Child labour Sysmiss Currently attending school? Currently attending school? Currently attending school? Currently attending school? Currently attending school? 17748 1 Child working category Child working category Child working category Child working category Child working category 8637 9111 1 School only 2 School and work 3 Work only 4 Idle Sysmiss Child labour category UNHS defn Child labour category UNHS defn Child labour category UNHS defn Child labour category UNHS defn Child labour category UNHS defn 8637 9111 1 School only 2 School and child labour 3 Child labour only 4 Idle Sysmiss Child labour category UNICEF defn Child labour category UNICEF defn Child labour category UNICEF defn Child labour category UNICEF defn Child labour category UNICEF defn 8637 9111 1 School only 2 School and child labour 3 Child labour only 4 Idle Sysmiss District District District District District 17748 APAC KABERAMAIDO KATAKWI KIBOGA KYENJOJO MOROTO NAKAPIRIPIRIT NEBBI County County County County County 17748 CHEKWII JONAM KABERAMAIDO KALAKI KIBOGA KWANIA MARUZI MATHENIKO MOROTO MUNICIPALITY MWENGE PADYERE PIAN TOROMA USUK Sub-County Sub-County Sub-County Sub-County Sub-County 17748 ABONGOMOLA ADUKU AKOKORO ALWA ANYARA APAC ATEGO BUGAAKI BUTIITI CHAWENTE CHEGERE ERUSSI IBUJE KABERAMAIDO TOWN COUNCIL KAKOMONGOLE KALAKI KAPEKE KAPUJAN KATOOKE TOWN COUNCIL KIBOGA TOWN COUNCIL KIGARAALE KISOJO KITOOKE KUCWINY KYARUSOZI KYENJOJO TOWN COUNCIL MAGORO NABILATUK NADUNGET NAMBEISO NDHEW NEBBI TOWN COUNCIL NYANTUNGO OCHERO OMODOI PAKWACH PAKWACH TOWN COUNCIL PANYANGO PANYIMUR RUPA SOUTH DIVISION TOROMA USUK Parish Parish Parish Parish Parish 17748 AAKUM ABALANG ABANY ABAR EAST ABAR WEST ABEDI ABINDU WARD ABOKO ABONGO ABULI ABWOKODIA ABWONG ACABA ACEGERETOLIM ACENLWORO ACHERER ACHUNGI ADEM ADOLO ADYEDA AGANGA AGONG AJAR AKALI AKERE AKETO AKOKORO AKURAO AKUYAM ALARO ALIDO ALIRA ALWOROCENG AMII- AMILO AMII-ABERIDWOGO AMOR WARD AMOR WEST AMORIGOGA AMUN AMUSIA ANGODINGODI ANWANGI ANYARA AORNGA APARISIA APIRE APOI APUUTON ASURET ATANA ATIGOLWOK ATIK ATONGTIDI ATOPI ATULE ATYAK AWILA AYABI AYAGO AYEOLYEC BAMUSUUTA WARD BARAHIIJA BARODILO BORO BUCUNI WARD BUNG BURARRO BUSANZA BUTARA BUTIITI BUZIBWEERA WARD BWENZI CAMPSWAHILI JUU CAMPSWAHILLICHIN CENTRAL WARD CHEGERE CHELEUKO ENJERU ETEKOBER FOREST WARD GANDA HAKATOMA HIMA ILEE ISANDARA JUKIA WARD KABAALE KADINYA KAFUNDA PARISH KAGAA KAGOBE KAIHURA KAKERE KAKINDO KALAKI KALOKWAMERI KAMENU KAMUDA KANYALAM KAPUJAN KASABA KASEGA KASENYI KATAMBALE KATARA WARD KAYEERA KIBIRA KIBOGA TOWN WARD KIDILANI KIGOYERA KIGUNDU KIHUMIRO KIJUMA KIKODA KINOGERO PARISH KIRONGO WARD KIRULUMBA WARD KISOJO KITONGOLE KITONYA KIVUJE KOKORIO KORITOK KORYAMO KOTHIKE KUNGU KYABAGONZA KYABARANGA KYAKATWIRE KYAMITARA KYAMUGENYI KYAMUTASA KYANYABONGO WARD KYAYIMBA KYONGERA LOBODEGI LOBUNEIT LOKAALA LOPUTUK LOTIRIR MABAALE MAGORO MAJENGO MIRAMBI MITOMA MOGOTH MORUANGIBUIN MUKALE MUKUNYU MWARO WARD MYERI PARISH NABOLITH NADUNGET NAITAKWAE NAKADELI NAKOBEKOBE NAMRWODO WARD NAMTHIN WARD NATOPOJO NEBBI HILL WARD NSINDE NTOMA NYACARA WARD NYAIBANDA NYAKAGEI NYAKISI PARISH NYAMABUGA OGWIL OGWOLO OLAGO OLOLANGO OLYEJO OMID OMINYA OMWIBALE ONGEMA ONGICIA ONGOCENG OPETA ORIMAI OWEKO OWINY PACEGO PACHAKA PADOLO PAJUR PAKIA PALATAU PAMINYA LOWER PAMINYA UPPER PAMITU PAMORA UPPER PAROKETO PAYERA POKWERO PUNUATAR PUPU PUVUNGU CENTRAL PUVUNGU WEST RAMOGI RUBANGO RUHOKO RUPA RWAITENGYA RWAMUKOORA SWAGERE TAROGALI TEBOKE TEI-ORO THATHA WARD TOKORA TOROMA USUK VURR working age adult (18-64) working age adult (18-64) working age adult (18-64) working age adult (18-64) working age adult (18-64) 17748 1 working age adult (18-64) engaged in economically productive activities during l working age adult (18-64) engaged in economically productive activities during l working age adult (18-64) engaged in economically productive activities during l working age adult (18-64) engaged in economically productive activities during l working age adult (18-64) engaged in economically productive activities during l 17748 1 number of months spent working in the main occupation for economically active in number of months spent working in the main occupation for economically active in number of months spent working in the main occupation for economically active in number of months spent working in the main occupation for economically active in number of months spent working in the main occupation for economically active in 5243 12505 1 2 3 4 5 6 7 8 9 10 11 12 Sysmiss economically active individual engaged in subsidiary occupation in addition to t economically active individual engaged in subsidiary occupation in addition to t economically active individual engaged in subsidiary occupation in addition to t economically active individual engaged in subsidiary occupation in addition to t economically active individual engaged in subsidiary occupation in addition to t 5551 12197 1 Sysmiss not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last 17748 1 not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last 17748 1 not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last 17748 1 not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last 17748 1 not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last 17748 1 not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last 17748 1 not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last 17748 1 not economically activeworking age adult who didn't look for a job in the last 7 not economically activeworking age adult who didn't look for a job in the last 7 not economically activeworking age adult who didn't look for a job in the last 7 not economically activeworking age adult who didn't look for a job in the last 7 not economically activeworking age adult who didn't look for a job in the last 7 17748 1 not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last 17748 1 not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last not economically active working age adult who didn't look for a job in the last 17748 1 not economically active working age adult who didn't look for a job and/or avail not economically active working age adult who didn't look for a job and/or avail not economically active working age adult who didn't look for a job and/or avail not economically active working age adult who didn't look for a job and/or avail not economically active working age adult who didn't look for a job and/or avail 17748 1 employer - secondary employment status last 12 months employer - secondary employment status last 12 months employer - secondary employment status last 12 months employer - secondary employment status last 12 months employer - secondary employment status last 12 months 17748 1 own account worker - secondary employment status last 12 months own account worker - secondary employment status last 12 months own account worker - secondary employment status last 12 months own account worker - secondary employment status last 12 months own account worker - secondary employment status last 12 months 17748 1 unpaid family worker - secondary employment status last 12 months unpaid family worker - secondary employment status last 12 months unpaid family worker - secondary employment status last 12 months unpaid family worker - secondary employment status last 12 months unpaid family worker - secondary employment status last 12 months 17748 1 working on home farm- secondary employment status last 12 months working on home farm- secondary employment status last 12 months working on home farm- secondary employment status last 12 months working on home farm- secondary employment status last 12 months working on home farm- secondary employment status last 12 months 17748 1 government permanent - secondary employment status last 12 months government permanent - secondary employment status last 12 months government permanent - secondary employment status last 12 months government permanent - secondary employment status last 12 months government permanent - secondary employment status last 12 months 17748 1 government temporary - secondary employment status last 12 months government temporary - secondary employment status last 12 months government temporary - secondary employment status last 12 months government temporary - secondary employment status last 12 months government temporary - secondary employment status last 12 months 17748 1 private - permanent - secondary employment status last 12 months private - permanent - secondary employment status last 12 months private - permanent - secondary employment status last 12 months private - permanent - secondary employment status last 12 months private - permanent - secondary employment status last 12 months 17748 1 private temporary - secondary employment status last 12 months private temporary - secondary employment status last 12 months private temporary - secondary employment status last 12 months private temporary - secondary employment status last 12 months private temporary - secondary employment status last 12 months 17748 1 full time student - secondary employment status last 12 months full time student - secondary employment status last 12 months full time student - secondary employment status last 12 months full time student - secondary employment status last 12 months full time student - secondary employment status last 12 months 17748 1 retired - secondary employment status last 12 months retired - secondary employment status last 12 months retired - secondary employment status last 12 months retired - secondary employment status last 12 months retired - secondary employment status last 12 months 17748 1 children not at school - secondary employment status last 12 months children not at school - secondary employment status last 12 months children not at school - secondary employment status last 12 months children not at school - secondary employment status last 12 months children not at school - secondary employment status last 12 months 17748 1 none secondary employment status last 12 months none secondary employment status last 12 months none secondary employment status last 12 months none secondary employment status last 12 months none secondary employment status last 12 months 17748 1 other - secondary employment status last 12 months other - secondary employment status last 12 months other - secondary employment status last 12 months other - secondary employment status last 12 months other - secondary employment status last 12 months 17748 1 17748 1 occupation legislators and senior officials occupation legislators and senior officials occupation legislators and senior officials occupation legislators and senior officials occupation legislators and senior officials 17748 1 occupation corporate managers occupation corporate managers occupation corporate managers occupation corporate managers occupation corporate managers 17748 1 occupation general managers occupation general managers occupation general managers occupation general managers occupation general managers 17748 occupation professional, phisical, math and engineering science occupation professional, phisical, math and engineering science occupation professional, phisical, math and engineering science occupation professional, phisical, math and engineering science occupation professional, phisical, math and engineering science 17748 1 occupation professional life science and health associate professionals occupation professional life science and health associate professionals occupation professional life science and health associate professionals occupation professional life science and health associate professionals occupation professional life science and health associate professionals 17748 1 occupation professional teaching occupation professional teaching occupation professional teaching occupation professional teaching occupation professional teaching 17748 1 occupation professional other occupation professional other occupation professional other occupation professional other occupation professional other 17748 1 occupation technicians, phisical and engineering scince associate occupation technicians, phisical and engineering scince associate occupation technicians, phisical and engineering scince associate occupation technicians, phisical and engineering scince associate occupation technicians, phisical and engineering scince associate 17748 1 occupation technicians, life science and health associate occupation technicians, life science and health associate occupation technicians, life science and health associate occupation technicians, life science and health associate occupation technicians, life science and health associate 17748 1 occupation technicians, teaching associate occupation technicians, teaching associate occupation technicians, teaching associate occupation technicians, teaching associate occupation technicians, teaching associate 17748 1 occupation technicians, other occupation technicians, other occupation technicians, other occupation technicians, other occupation technicians, other 17748 1 occupation, office clerk occupation, office clerk occupation, office clerk occupation, office clerk occupation, office clerk 17748 1 occupation, customer service clerk occupation, customer service clerk occupation, customer service clerk occupation, customer service clerk occupation, customer service clerk 17748 occupation, personal and protective service workers occupation, personal and protective service workers occupation, personal and protective service workers occupation, personal and protective service workers occupation, personal and protective service workers 17748 1 occupation, models, sales persons and demostrators occupation, models, sales persons and demostrators occupation, models, sales persons and demostrators occupation, models, sales persons and demostrators occupation, models, sales persons and demostrators 17748 1 occupation, market oriented skilled agricultural and fishery workers occupation, market oriented skilled agricultural and fishery workers occupation, market oriented skilled agricultural and fishery workers occupation, market oriented skilled agricultural and fishery workers occupation, market oriented skilled agricultural and fishery workers 17748 1 occupation, subsistence agricultural and fishery workers occupation, subsistence agricultural and fishery workers occupation, subsistence agricultural and fishery workers occupation, subsistence agricultural and fishery workers occupation, subsistence agricultural and fishery workers 17748 1 occupation, exraction and building trade workers occupation, exraction and building trade workers occupation, exraction and building trade workers occupation, exraction and building trade workers occupation, exraction and building trade workers 17748 1 occupation, metal machinery and related trades workers occupation, metal machinery and related trades workers occupation, metal machinery and related trades workers occupation, metal machinery and related trades workers occupation, metal machinery and related trades workers 17748 1 occupation, precision, handicraft, printing, and related trades workers occupation, precision, handicraft, printing, and related trades workers occupation, precision, handicraft, printing, and related trades workers occupation, precision, handicraft, printing, and related trades workers occupation, precision, handicraft, printing, and related trades workers 17748 1 occupation, other craft occupation, other craft occupation, other craft occupation, other craft occupation, other craft 17748 1 occupation, stationary plant occupation, stationary plant occupation, stationary plant occupation, stationary plant occupation, stationary plant 17748 1 occupation, machine operators and assemblers occupation, machine operators and assemblers occupation, machine operators and assemblers occupation, machine operators and assemblers occupation, machine operators and assemblers 17748 1 occupation, drivers and mobile plant operators occupation, drivers and mobile plant operators occupation, drivers and mobile plant operators occupation, drivers and mobile plant operators occupation, drivers and mobile plant operators 17748 1 occupation, sales and services elementary occupation, sales and services elementary occupation, sales and services elementary occupation, sales and services elementary occupation, sales and services elementary 17748 1 occupation, agricultural, fishery and related labourers occupation, agricultural, fishery and related labourers occupation, agricultural, fishery and related labourers occupation, agricultural, fishery and related labourers occupation, agricultural, fishery and related labourers 17748 1 occupation, labourers in mining, construction, manufacturing and transport occupation, labourers in mining, construction, manufacturing and transport occupation, labourers in mining, construction, manufacturing and transport occupation, labourers in mining, construction, manufacturing and transport occupation, labourers in mining, construction, manufacturing and transport 17748 1 occupation, armed force occupation, armed force occupation, armed force occupation, armed force occupation, armed force 17748 subsidary occupation legislators and senior officials subsidary occupation legislators and senior officials subsidary occupation legislators and senior officials subsidary occupation legislators and senior officials subsidary occupation legislators and senior officials 17748 1 subsidary occupation corporate managers subsidary occupation corporate managers subsidary occupation corporate managers subsidary occupation corporate managers subsidary occupation corporate managers 17748 1 subsidary occupation general managers subsidary occupation general managers subsidary occupation general managers subsidary occupation general managers subsidary occupation general managers 17748 1 subsidary occupation professional, phisical, math and engineering science subsidary occupation professional, phisical, math and engineering science subsidary occupation professional, phisical, math and engineering science subsidary occupation professional, phisical, math and engineering science subsidary occupation professional, phisical, math and engineering science 17748 subsidary occupation professional life science and health associate professional subsidary occupation professional life science and health associate professional subsidary occupation professional life science and health associate professional subsidary occupation professional life science and health associate professional subsidary occupation professional life science and health associate professional 17748 1 subsidary occupation professional teaching subsidary occupation professional teaching subsidary occupation professional teaching subsidary occupation professional teaching subsidary occupation professional teaching 17748 1 subsidary occupation professional other subsidary occupation professional other subsidary occupation professional other subsidary occupation professional other subsidary occupation professional other 17748 1 subsidary occupation technicians, phisical and engineering scince associate subsidary occupation technicians, phisical and engineering scince associate subsidary occupation technicians, phisical and engineering scince associate subsidary occupation technicians, phisical and engineering scince associate subsidary occupation technicians, phisical and engineering scince associate 17748 subsidary occupation technicians, life science and health associate subsidary occupation technicians, life science and health associate subsidary occupation technicians, life science and health associate subsidary occupation technicians, life science and health associate subsidary occupation technicians, life science and health associate 17748 1 subsidary occupation technicians, teaching associate subsidary occupation technicians, teaching associate subsidary occupation technicians, teaching associate subsidary occupation technicians, teaching associate subsidary occupation technicians, teaching associate 17748 1 subsidary occupation technicians, other subsidary occupation technicians, other subsidary occupation technicians, other subsidary occupation technicians, other subsidary occupation technicians, other 17748 1 subsidary occupation, office clerk subsidary occupation, office clerk subsidary occupation, office clerk subsidary occupation, office clerk subsidary occupation, office clerk 17748 1 subsidary occupation, customer service clerk subsidary occupation, customer service clerk subsidary occupation, customer service clerk subsidary occupation, customer service clerk subsidary occupation, customer service clerk 17748 subsidary occupation, personal and protective service workers subsidary occupation, personal and protective service workers subsidary occupation, personal and protective service workers subsidary occupation, personal and protective service workers subsidary occupation, personal and protective service workers 17748 1 subsidary occupation, models, sales persons and demostrators subsidary occupation, models, sales persons and demostrators subsidary occupation, models, sales persons and demostrators subsidary occupation, models, sales persons and demostrators subsidary occupation, models, sales persons and demostrators 17748 1 subsidary occupation, market oriented skilled agricultural and fishery workers subsidary occupation, market oriented skilled agricultural and fishery workers subsidary occupation, market oriented skilled agricultural and fishery workers subsidary occupation, market oriented skilled agricultural and fishery workers subsidary occupation, market oriented skilled agricultural and fishery workers 17748 1 subsidary occupation, subsistence agricultural and fishery workers subsidary occupation, subsistence agricultural and fishery workers subsidary occupation, subsistence agricultural and fishery workers subsidary occupation, subsistence agricultural and fishery workers subsidary occupation, subsistence agricultural and fishery workers 17748 1 subsidary occupation, exraction and building trade workers subsidary occupation, exraction and building trade workers subsidary occupation, exraction and building trade workers subsidary occupation, exraction and building trade workers subsidary occupation, exraction and building trade workers 17748 1 subsidary occupation, metal machinery and related trades workers subsidary occupation, metal machinery and related trades workers subsidary occupation, metal machinery and related trades workers subsidary occupation, metal machinery and related trades workers subsidary occupation, metal machinery and related trades workers 17748 1 subsidary occupation, precision, handicraft, printing, and related trades worker subsidary occupation, precision, handicraft, printing, and related trades worker subsidary occupation, precision, handicraft, printing, and related trades worker subsidary occupation, precision, handicraft, printing, and related trades worker subsidary occupation, precision, handicraft, printing, and related trades worker 17748 1 subsidary occupation, other craft subsidary occupation, other craft subsidary occupation, other craft subsidary occupation, other craft subsidary occupation, other craft 17748 1 subsidary occupation, stationary plant subsidary occupation, stationary plant subsidary occupation, stationary plant subsidary occupation, stationary plant subsidary occupation, stationary plant 17748 1 subsidary occupation, machine operators and assemblers subsidary occupation, machine operators and assemblers subsidary occupation, machine operators and assemblers subsidary occupation, machine operators and assemblers subsidary occupation, machine operators and assemblers 17748 1 subsidary occupation, drivers and mobile plant operators subsidary occupation, drivers and mobile plant operators subsidary occupation, drivers and mobile plant operators subsidary occupation, drivers and mobile plant operators subsidary occupation, drivers and mobile plant operators 17748 1 subsidary occupation, sales and services elementary subsidary occupation, sales and services elementary subsidary occupation, sales and services elementary subsidary occupation, sales and services elementary subsidary occupation, sales and services elementary 17748 1 subsidary occupation, agricultural, fishery and related labourers subsidary occupation, agricultural, fishery and related labourers subsidary occupation, agricultural, fishery and related labourers subsidary occupation, agricultural, fishery and related labourers subsidary occupation, agricultural, fishery and related labourers 17748 1 subsidary occupation, labourers in mining, construction, manufacturing and trans subsidary occupation, labourers in mining, construction, manufacturing and trans subsidary occupation, labourers in mining, construction, manufacturing and trans subsidary occupation, labourers in mining, construction, manufacturing and trans subsidary occupation, labourers in mining, construction, manufacturing and trans 17748 1 subsidary occupation, armed force subsidary occupation, armed force subsidary occupation, armed force subsidary occupation, armed force subsidary occupation, armed force 17748 17748 1 Village Village Village Village Village 17748 1 377 186.648 109.642 household id household id household id household id household id 622 10310303020095 41511203010076 29039657230194.7 6145140569384.1 member id member id member id member id member id 622 1 99 5.641 10.386 hh1 q2:age of respondent hh1 q2:age of respondent hh1 q2:age of respondent hh1 q2:age of respondent hh1 q2:age of respondent 614 8 85 17.591 12.857 hh1 q5:gender hh1 q5:gender hh1 q5:gender hh1 q5:gender hh1 q5:gender 614 8 1 male 2 female 98 dk/na Sysmiss hh2 q10:what was the highest grade that [name] completed? hh2 q10:what was the highest grade that [name] completed? hh2 q10:what was the highest grade that [name] completed? hh2 q10:what was the highest grade that [name] completed? hh2 q10:what was the highest grade that [name] completed? 109 513 1 no education 2 p1 3 p2 4 p3 5 p4 6 p5 7 p6 8 p7 9 s1 10 s2 11 s3 12 s4 13 s5 14 s6 15 post sec. training/diploma 16 undergraduate degree 17 postgraduate degree 18 post primary vocational training 98 dk/na Sysmiss hh5 q2:name of migrating individual hh5 q2:name of migrating individual hh5 q2:name of migrating individual hh5 q2:name of migrating individual hh5 q2:name of migrating individual 622 ABECHRWOTH ABEL ABORO BEATRICE ABRAHAM OPELEN ABUNI KETTY ABUNYO CAROLINE ABURA ABURA CATARINA ABURA VERONICA ACAN SCOVIA ACAYO FARIDAH ACAYO FILDA ACAYO MERCY ACEN CHARITY ACEN ESTHER ACEN HARRIET ACEN WINNY ACENG SANDRA ACHAMA DILLISH ACHIA ACHIROCAN LYDIA ACHOK ABRAM ACHOM ACIO MODESTER ACIO PASIDY ACIO TRINITY ADARO ALICE ADEGI ADERO FIONA ADERO GLORIA ADERO KEVIN ADERO SHARON ADOKO PAUL ADOKO REBECCA ADOKO RYMOND ADONGICAN ROSE ADONGO HARRIET ADONGO NANCY ADUBANGO GRACE ADYAO BARBRA AFOYOCAN MAGRET AFOYORWOT ANNET AFOYORWOT GLORIA AGANG EMMANUEL AGIZI MICHAL AGOZIBWE GLORIA AGUMA SIZOR AGURI HARRIET AGUTI AGUTI WINNIE AHAISE CATHERINE AISU AJAROVA GRACE AJULU LEAH AJWANG DILISH AJWANG MONICA AKAO PRICILA AKARA GERALD AKEDA PROSCA AKEDO DEMITA AKELLO AKELLO CISSY AKELLO NANCY AKELLO PRISCA AKENA ALLAN AKIDE ESTHER AKITE VICKY AKKELO AKOL LAKERI AKOLI LUCKY AKUDO AKULLA RACHAEL AKULLI GLORIA AKULLO BELINDA AKUMU ROSELINE AKUMU SUNDAY AKUNGO WINFRED AKURUT AKWAO LYDIA ALABA JUDITH ALAKU ABEL ALEPER NABUWU ALFRED ALLAN ADIGA ALOBO SHARON ALUM LYDIA AMIA IMMACULATE AMIA JOSEPHINE AMIRO CAROLYN AMIRO DEBULA AMOLI SCOVIA AMONG VICKY AMULA DERICK ANEK SANDRA ANENA PAPETRA ANGAMITA JOAN ANGEANGO ALEPOSTINA ANGELLA ANGOLEKORI ANGOM MARY ANGOM RACHAEL ANGOM YONITA ANGULU SISTO ANGUTA POPISTA ANGWEC BRENDA ANICAN LADY ANICHO DERICK ANIRWATH OSBET ANITA CHARITY ANN ANNET ANYANGO EVALINE ANYOLITH FLAVIA APIO APIO FIBI APIO HARRIET APIO LEAR ARAO MOLLY ARUTO LUCY ASAMO ANNA ASINGO PHILEMON ASIO PROSCOVIA ASIYO ATAYO CAROLINE ATIM DIANA ATIM SARAH ATIMANGO ATINE ALEX ATMANGO BRENDA ATOCHON FRANKLIN ATUGE LAER ATUKWASE LEANI ATWOMA CALVIN ATYANG DILISH ATYERONIMUNGU BIKRA AUMA EVALINE AWAS FRANCIS AWECHO SCOVIA AWEKO AWEKONIMUNGU FORTUNE AWINJO JOSEPHINE AWOR MONICA AYAMU WILLY AYAT JAMILA AYED RWOT AYIYORWOT IRMA AYIYORWOTH ESTHER AYO NANCY AYO RICHARD AYOMIRWOTH AYOMIRWOTH GRACE AYORWOTH JOAN AYUMO MARY AYURU MODESTA AYURU TEDDY BALINDA BASHIRI MBUNGA BEATRICE KABATELESA BEDIJO INNOCENT BEDIJO MORRIS BEDIJO SAMUEL BEN TUSIIME BEROCAN PATRICIA BIJO GRACE BIRUNGI JANE. BISENDUNUN ISAAC BONO DEOGRACIOUS BOSICO OCHIENG BRIAN BRIAN KWONITWOT BRIAN OTIMGIWUN BRIDGET BRIGHT BURE MUDASHIR BUSINGE STEVEN BUSINGYE DAVID CATHERINE CHARLOTTE CHRISTINE COSMAS JAVURU DAISY DAN KAHWA DANIEL DANIEL OGWAN DENIS OKWAI DENNIS DERICK OMIRAMBE DILISH ALUM DOCUS DONGCEN DOREEN DORER DWONG PARWOTH CHRISPO EBU SIRUS ECWAKU ANTHONY EDEKET EDISA ELIZABETH EDISHA EDMOND PIRWOTH EDONG BRENDA EDOU JOANES EGUN MOSES EJANG RACHEAL ELABOROTE ELOLE SAMUEL EMALU WILLIAM EMECU ROGERS EMICU JOEL EMMA KWIOCWINY EMMACULATE EMMANUEL EMMY OGWAL EMONG TERENCIO ENYIPPU DENNIS EPET CEASER EPILA JACOLINE EPWOTU SAMUEL EREBU JOB ERECHU MATHIAS ERIC ESTER ESTHER ESURULI FRANCIS ETAP NAPHIN EVELYNE OAIKANI EXPERANCE OKECHI EYADU YUVENTINE FAITH AWACHANGO FARUK KINGSTON FRANCIS FRAZIL FRED FREDRICK FUACAN ROSELINE GEOFREY OGWAL GIRAMA SCOVIA GIRAMIA SCOVIA GLADES GLADY IRACHAM GLORIA GLORIA ACHAN GODFREY GODFREY OYIRWOTH GRACE ADERO GRACE AKWIYOCWINY GRACE OYELA HADADI HAPPY WANOK HARRIET HAWARD WACAO HELLEN HERMAN HILARY IDWART FLORENCE IJOT NICHOLAS INNOCENT IRENE ANURWOTH ISAA JULIET ISAAC ISAAC OKELLO ISAAC OPELEN ITONG CHRISTINE ITUWA IYESET IYUTUNG BRIAN JACKIE AGOYA JACKLINE JAKISA SOLOMON JAKUMA SUNDAY JAMES OKULLU JAREKONGA JASMIN JATEGO DOUGLAS JATEGORWOT ADSON JEREMY JETRO JIMMY JIMMY OKELLO JOAN JOAN FRIDAH JOHN OCHIENG JOITA JOLLY JONGEYA ORESIE JORDAN RWOTHOMIO JOSEPH MUGISHA JOVIA JOVIA ROSELINE JOYCE ANYEI JUDITH JULIUS JULIUS KAVUMA JUNIOR KABARWANI FLORENCE KAKURA KANGENDO TONNY KANSARE EDITH KANYONYOZI KAUMBE CAROLINE KENETH OCUNG KEVIN KIHUMURO PETER KIMANZI DEBORAH KIMIRANTE REAGAN KINERA CHRISTOPHER KIRABO ROSEMARY KIRENGA RICHERD KIZITO MUBARAH KOBUSINGE KOMUGIZA VIVIAN KORYANG KUPAKARWOTH ARON KWIYOCWINY ISHA LIBERTY LINA ACOLA LOCHAP EMERIYA LODUK LOCHAP LOGIEL N LOKIRU LOKOL LOBELENYEKUY LOKOROL LOKURU LOKUT APERIGIMOE LOMER LOMER MARUK LOMOK MICHEL LONGIRAPUS LONGORA LOPUL LOTHODO LOUISE LOWAL LOWINYA LOWOYAN LOYUKOL LUCKY LUCKY ALWERO LUKAS MADAUO JOYCE MALINGA ASHA MANDAWON JOANITA MARIA KIWOCHO MARK KEYOCHOG MARK OPAK RWOTH MARWOTH MARY MASANGORWOT EVALIN MASENDI DEOGRACIOUS MASOGORWOT JEREMY MAURICE MAXWELL NAM MAXWELL OPIRO MBABAZI DEOGRAS MBABAZI MARGARET MELODY PARAESU MICHAEL MIRACO MOKO DAVID MOLLY MOSES MUBER AGNES MUGAN APALOKAPEI MUGISA BRIAN MUGISA LINUS MUGISHA GODFREY MUHWEZI D MUJUNI RODGERS MUKYO ANGELA MUNGU DIT ANDIFAR MUNGU MARE GLORIA MUNGUDIT DOUGLAS MUNGUGENYU PATRICIA MUNGUJAKISA ALLAN MUNGUJAKISA MANUEL MUNGURIEK DAISY MUSANJE PIUS MUSSA SADDICK MUSWA OLIVER MUTESI LETISHA MUTONI PHIONA MWAMBA CHRISTINE NACHOMIN NAKAKODE NAKATTE ROSE NAKITU VIOLA NAKYANZI FILISTA NALUMANSI D NAMEE COLIM NAMONO NANCY NANGOLE MARY NANGOROK NANYONJU NATUKUNDA ANNET NAYIGA LINDA NAYOK AMODOI NDAKIZI EDWARD NIGHTY NINSIMA S NISIMA STIDIA NYAKAHUME ALOZIO NYANGAN SANTINA OBUGA WALTER OCAKA DARICK OCEN DARIOUS OCEN EMMENUEL OCEN STEVEN OCHEN OCIDA CLAIRE OCIDA JENIFER OCIDA SINDONIA OCUNG PATRICK OCUNGRWOTH IVAN ODER JONAN ODOL JACOB ODONG ODONG YOUNG ODONGO ODONGO BONNY ODONGO HUSSEIN ODONGWUN ODONKARA FRANK ODORA ODULAI YUVENTINE ODUR ANDREW ODUR ISAAC OFOYM EDGA OFOYORWOTH DESMOND OFUCH SOLOMON OGWAL DENIS OGWAL JIMMY OGWAL JOSEPH OGWAL MORISON OGWAL MOSES OGWANG DANIEL OGWANG ISAAC OGWAR DANIEL OGWONK WALTER OJACOL OJERA ROSE OJOK SAM OJUKA EMMANUEL OJUKA TOM OKAO AMBROSE OKECH KIZITO OKECHA OKELLO OKELLO ABEL OKELLO DAVID OKELLO GEORGE OKELLO REAGAN OKETCHA OKODI EDMOND OKODU PAUL OKOKU JONATHAN OKOMA FRANCIS OKORI PIUS OKUMU PRECIOUS OKURWOTH ALITHUM OKUTA MAX OKWAI FRANCIS OKWAI PATRICK OKWAIMUNGU ETHIEN OKWANG MORISH OKWENY EMMANUEL OKWIR RONALD OLIVER OLIYA PETER OLUBA JIMMY OLUL JULIET OLUPOT JOREM OMIA FRANCIS OMIO LAK OMIRABE OMIRABE SIRAJI OMUNO PETER OMURBOT JUNIOR ONEGA ONEGI FUASTINO ONENCAN GODFRED ONGORA ANDREW ONYINGE G OPARRWOTH MANUEL OPETO AMBROSE OPIO OPIO EMMANUEL OPIO MOSES OPIO WILLIAM OPOBO JASPHER OPOK MOSES OPONO DENIS OPWATUM PET ORAAT ORYEM CHARLES ORYEMA SMITH OSAGA OSAGA WILLIAM OSEYEI OTILE ABRAM OTIM AMPREY OTIM HILLARY OTIM IVAN OTIM JEPLIN OTIM MOSES OTIMUNGU EDMOND OTYANG OVOCHO PETER OVOYA CHRISTOPHER OWACHI MANGEO OWALINGA OWORR BRIAN OYIKURU DERRICK OYIORWOTH PHYIAS OYIRWOT BRIAN OYIRWOTH OYIRWOTH EMMANUEL OYIRWOTH RICHARD OYUNGRWOT DESIRE PAMELA OPOKA PARMUNG PATRICIA PATRICK PATRICK OPAKRWOTH PEACE PEPETRA PHEIB PHILIP APOKA PHIONA PIKWO WALTER PIMER TRACY PIMERI TRINITY PIRACEL ALICE PIWANG PAUL PROMISE PUIS PUTAN SABINA RAINA RASUL RAYMOND MUNGU REGAN RICKY MUNGUTIMU ROGERS RONALD ROSELYN RUFINA ALONYO RUTH RWOTHMIO STEWARD RWOTHOMIO BYRON SAMUEL SANYU MOLLY SAVIOR JADIT SAVIOUR MUNGUJAKISA SCOVIA SCOVIA LOTUNG SENYONJI SHARON SHERIFA SOLOMON STELLA ADONGO STEVEN STEVEN OKUMU SUNDAY SUSAN SYLVIA SYLVIA AYERANGO TENGOR TEOPISTA ANGEI THULE SANTINA TIBASAGA FLAZIA TOROKI DENIS TRINITY KWIYOCWINY TUSABE STEVEN ULWORMANGU VICKY ALABA VIVIAN WACINGRWOTH HARRY WANITO LUCKY WANOK BRIAN WAROM WAROM DAGLAS WATAKALE WINNIE WINNIE MUNGURIEK YEKPA RWOTH SUSAN YIKPA RWOTH SLIVIA YITPARWOTH NANCY YUNES achia rupee akec joan kiturach manule kyakuhire dwahuire lokiru namilio loyee chaita peter manuela mungudit mungumio opakrwoth pascal robina uwachigi hh5 q4:what is [name]'s age in completed years hh5 q4:what is [name]'s age in completed years hh5 q4:what is [name]'s age in completed years hh5 q4:what is [name]'s age in completed years hh5 q4:what is [name]'s age in completed years 622 1 98 48.777 40.601 hh5 q5:what is [name]'s gender hh5 q5:what is [name]'s gender hh5 q5:what is [name]'s gender hh5 q5:what is [name]'s gender hh5 q5:what is [name]'s gender 622 1 male 2 female hh5_q6:what was the highest level of completed education of [name] when he/she l hh5_q6:what was the highest level of completed education of [name] when he/she l hh5_q6:what was the highest level of completed education of [name] when he/she l hh5_q6:what was the highest level of completed education of [name] when he/she l hh5_q6:what was the highest level of completed education of [name] when he/she l 622 1 no education 2 grades p1 – p7 3 grades s1- s6 4 higher education 5 post-graduate 98 dk/na hh5 q7:what was the primary reason for [name]'s period of migration? hh5 q7:what was the primary reason for [name]'s period of migration? hh5 q7:what was the primary reason for [name]'s period of migration? hh5 q7:what was the primary reason for [name]'s period of migration? hh5 q7:what was the primary reason for [name]'s period of migration? 619 3 1 employment 2 education 3 apprenticeship /training 4 medical care 5 change in family relationship (marriage/divorce) 6 conflict /violence 7 flooding /drought/famine 8 joining other household 97 other 98 dk/na Sysmiss hh5_q8: did you receive any money or in-kind support from [name] in the last 12 hh5_q8: did you receive any money or in-kind support from [name] in the last 12 hh5_q8: did you receive any money or in-kind support from [name] in the last 12 hh5_q8: did you receive any money or in-kind support from [name] in the last 12 hh5_q8: did you receive any money or in-kind support from [name] in the last 12 619 3 1 yes 2 no 98 dk/na Sysmiss hh5_q9: is [name] currently away from the household hh5_q9: is [name] currently away from the household hh5_q9: is [name] currently away from the household hh5_q9: is [name] currently away from the household hh5_q9: is [name] currently away from the household 622 1 yes 2 no 98 dk/na age of migrant age of migrant age of migrant age of migrant age of migrant 620 2 97 18.106 14.619 622 1 2 gender of migrant gender of migrant gender of migrant gender of migrant gender of migrant 622 1 hh5_q6==no education hh5_q6==no education hh5_q6==no education hh5_q6==no education hh5_q6==no education 622 1 hh5_q6==grades p1 – p7 hh5_q6==grades p1 – p7 hh5_q6==grades p1 – p7 hh5_q6==grades p1 – p7 hh5_q6==grades p1 – p7 622 1 hh5_q6==grades s1- s6 hh5_q6==grades s1- s6 hh5_q6==grades s1- s6 hh5_q6==grades s1- s6 hh5_q6==grades s1- s6 622 1 hh5_q6==higher education hh5_q6==higher education hh5_q6==higher education hh5_q6==higher education hh5_q6==higher education 622 1 hh5_q6==post-graduate hh5_q6==post-graduate hh5_q6==post-graduate hh5_q6==post-graduate hh5_q6==post-graduate 622 1 hh5_q6==dk/na hh5_q6==dk/na hh5_q6==dk/na hh5_q6==dk/na hh5_q6==dk/na 622 1 hh5_q7==employment hh5_q7==employment hh5_q7==employment hh5_q7==employment hh5_q7==employment 619 3 1 Sysmiss hh5_q7== education hh5_q7== education hh5_q7== education hh5_q7== education hh5_q7== education 619 3 1 Sysmiss hh5_q7== apprenticeship /training hh5_q7== apprenticeship /training hh5_q7== apprenticeship /training hh5_q7== apprenticeship /training hh5_q7== apprenticeship /training 619 3 1 Sysmiss hh5_q7== medical care hh5_q7== medical care hh5_q7== medical care hh5_q7== medical care hh5_q7== medical care 619 3 1 Sysmiss hh5_q7== change in family relationship (marriage/divorce) hh5_q7== change in family relationship (marriage/divorce) hh5_q7== change in family relationship (marriage/divorce) hh5_q7== change in family relationship (marriage/divorce) hh5_q7== change in family relationship (marriage/divorce) 619 3 1 Sysmiss hh5_q7== conflict /violence hh5_q7== conflict /violence hh5_q7== conflict /violence hh5_q7== conflict /violence hh5_q7== conflict /violence 619 3 1 Sysmiss hh5_q7== flooding /drought/famine hh5_q7== flooding /drought/famine hh5_q7== flooding /drought/famine hh5_q7== flooding /drought/famine hh5_q7== flooding /drought/famine 619 3 1 Sysmiss hh5_q7== joining other household hh5_q7== joining other household hh5_q7== joining other household hh5_q7== joining other household hh5_q7== joining other household 619 3 1 Sysmiss hh5_q7== other hh5_q7== other hh5_q7== other hh5_q7== other hh5_q7== other 619 3 1 Sysmiss migrant sending remittances migrant sending remittances migrant sending remittances migrant sending remittances migrant sending remittances 619 3 1 Sysmiss Serial Number Serial Number Serial Number Serial Number Serial Number 610 12 2 3960 1984.849 1143.98 (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod 622 SCG 1 VFSG actual treatment status actual treatment status actual treatment status actual treatment status actual treatment status 610 12 Control 1 Treatment 2 Do not know SAGE Sysmiss baseline treatment group baseline treatment group baseline treatment group baseline treatment group baseline treatment group 622 Control 1 Treatment Community ID Community ID Community ID Community ID Community ID 622 1031030302 4151120301 2903965818.26 614514087.889 District District District District District 622 APAC KABERAMAIDO KATAKWI KIBOGA KYENJOJO MOROTO NAKAPIRIPIRIT NEBBI County County County County County 622 CHEKWII JONAM KABERAMAIDO KALAKI KIBOGA KWANIA MARUZI MATHENIKO MOROTO MUNICIPALITY MWENGE PADYERE PIAN TOROMA USUK Sub-County Sub-County Sub-County Sub-County Sub-County 622 ABONGOMOLA ADUKU AKOKORO ALWA ANYARA APAC ATEGO BUGAAKI BUTIITI CHAWENTE CHEGERE ERUSSI IBUJE KAKOMONGOLE KALAKI KAPEKE KAPUJAN KATOOKE TOWN COUNCIL KIBOGA TOWN COUNCIL KIGARAALE KISOJO KUCWINY KYENJOJO TOWN COUNCIL MAGORO NABILATUK NADUNGET NAMBEISO NDHEW NEBBI TOWN COUNCIL NYANTUNGO OCHERO OMODOI PAKWACH PAKWACH TOWN COUNCIL PANYANGO PANYIMUR RUPA SOUTH DIVISION TOROMA USUK Parish Parish Parish Parish Parish 622 AAKUM ABALANG ABANY ABAR EAST ABAR WEST ABEDI ABOKO ABONGO ABULI ABWONG ACHERER ACHUNGI ADOLO ADYEDA AGANGA AGONG AJAR AKALI AKETO AKOKORO AKURAO ALARO ALIDO ALIRA ALWOROCENG AMII- AMILO AMII-ABERIDWOGO AMOR WARD AMOR WEST AMORIGOGA ANGODINGODI ANWANGI AORNGA APARISIA APIRE APOI APUUTON ASURET ATANA ATIGOLWOK ATIK ATONGTIDI ATOPI ATYAK AWILA AYAGO AYEOLYEC BAMUSUUTA WARD BORO BUNG BUTARA BUTIITI BUZIBWEERA WARD BWENZI CAMPSWAHILI JUU CENTRAL WARD CHEGERE ETEKOBER FOREST WARD GANDA HIMA ILEE JUKIA WARD KADINYA KAIHURA KAKERE KAKINDO KALAKI KALOKWAMERI KAMENU KAMUDA KANYALAM KAPUJAN KAYEERA KIBOGA TOWN WARD KIDILANI KIGUNDU KIHUMIRO KIRONGO WARD KIRULUMBA WARD KIVUJE KOKORIO KORYAMO KOTHIKE KYABARANGA KYANYABONGO WARD KYAYIMBA LOBODEGI LOBUNEIT LOKAALA LOPUTUK LOTIRIR MAGORO MOGOTH MUKALE MUKUNYU NABOLITH NAITAKWAE NAKADELI NAKOBEKOBE NAMRWODO WARD NATOPOJO NTOMA NYACARA WARD NYAKAGEI NYAMABUGA OGWIL OGWOLO OLAGO OLOLANGO OLYEJO OMWIBALE ONGEMA OPETA OWEKO PACEGO PACHAKA PADOLO PAJUR PAKIA PALATAU PAMINYA LOWER PAMITU PAMORA UPPER PAYERA POKWERO PUPU PUVUNGU CENTRAL PUVUNGU WEST RAMOGI RUHOKO RUPA RWAITENGYA SWAGERE TAROGALI TEI-ORO THATHA WARD TOKORA VURR Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse 622 1.699 38.866 18.916 7.826 Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse 622 1.699 33.648 18.972 7.85 622 1 2 Village Village Village Village Village 622 1 200 95 58.924 4175 10310301020014 41511408020164 30816591302707.6 7509687227314.99 HH with migrant HH with migrant HH with migrant HH with migrant HH with migrant 4175 1 HH with migrant (hh5_q1==1) HH with migrant (hh5_q1==1) HH with migrant (hh5_q1==1) HH with migrant (hh5_q1==1) HH with migrant (hh5_q1==1) 4175 1 Serial Number Serial Number Serial Number Serial Number Serial Number 3902 273 1 3970 1972.401 1135.667 (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod 3980 195 SCG 1 VFSG Sysmiss actual treatment status actual treatment status actual treatment status actual treatment status actual treatment status 3902 273 Control 1 Treatment 2 Do not know SAGE Sysmiss baseline treatment group baseline treatment group baseline treatment group baseline treatment group baseline treatment group 3980 195 Control 1 Treatment Sysmiss Community ID Community ID Community ID Community ID Community ID 4175 1031030102 4151140802 3081657706.998 750968662.098 District District District District District 4175 APAC KABERAMAIDO KATAKWI KIBOGA KYENJOJO MOROTO NAKAPIRIPIRIT NEBBI County County County County County 4175 CHEKWII JONAM KABERAMAIDO KALAKI KIBOGA KWANIA MARUZI MATHENIKO MOROTO MUNICIPALITY MWENGE PADYERE PIAN TOROMA USUK Sub-County Sub-County Sub-County Sub-County Sub-County 4175 ABONGOMOLA ADUKU AKOKORO ALWA ANYARA APAC ATEGO BUGAAKI BUTIITI CHAWENTE CHEGERE ERUSSI IBUJE KABERAMAIDO TOWN COUNCIL KAKOMONGOLE KALAKI KAPEKE KAPUJAN KATOOKE TOWN COUNCIL KIBOGA TOWN COUNCIL KIGARAALE KISOJO KITOOKE KUCWINY KYARUSOZI KYENJOJO TOWN COUNCIL MAGORO NABILATUK NADUNGET NAMBEISO NDHEW NEBBI TOWN COUNCIL NYANTUNGO OCHERO OMODOI PAKWACH PAKWACH TOWN COUNCIL PANYANGO PANYIMUR RUPA SOUTH DIVISION TOROMA USUK Parish Parish Parish Parish Parish 4175 AAKUM ABALANG ABANY ABAR EAST ABAR WEST ABEDI ABINDU WARD ABOKO ABONGO ABULI ABWOKODIA ABWONG ACABA ACEGERETOLIM ACENLWORO ACHERER ACHUNGI ADEM ADOLO ADYEDA AGANGA AGONG AJAR AKALI AKERE AKETO AKOKORO AKURAO AKUYAM ALARO ALIDO ALIRA ALWOROCENG AMII- AMILO AMII-ABERIDWOGO AMOR WARD AMOR WEST AMORIGOGA AMUN AMUSIA ANGODINGODI ANWANGI ANYARA AORNGA APARISIA APIRE APOI APUUTON ASURET ATANA ATIGOLWOK ATIK ATONGTIDI ATOPI ATULE ATYAK AWILA AYABI AYAGO AYEOLYEC BAMUSUUTA WARD BARAHIIJA BARODILO BORO BUCUNI WARD BUNG BURARRO BUSANZA BUTARA BUTIITI BUZIBWEERA WARD BWENZI CAMPSWAHILI JUU CAMPSWAHILLICHIN CENTRAL WARD CHEGERE CHELEUKO ENJERU ETEKOBER FOREST WARD GANDA HAKATOMA HIMA ILEE ISANDARA JUKIA WARD KABAALE KADINYA KAFUNDA PARISH KAGAA KAGOBE KAIHURA KAKERE KAKINDO KALAKI KALOKWAMERI KAMENU KAMUDA KANYALAM KAPUJAN KASABA KASEGA KASENYI KATAMBALE KATARA WARD KAYEERA KIBIRA KIBOGA TOWN WARD KIDILANI KIGOYERA KIGUNDU KIHUMIRO KIJUMA KIKODA KINOGERO PARISH KIRONGO WARD KIRULUMBA WARD KISOJO KITONGOLE KITONYA KIVUJE KOKORIO KORITOK KORYAMO KOTHIKE KUNGU KYABAGONZA KYABARANGA KYAKATWIRE KYAMITARA KYAMUGENYI KYAMUTASA KYANYABONGO WARD KYAYIMBA KYONGERA LOBODEGI LOBUNEIT LOKAALA LOPUTUK LOTIRIR MABAALE MAGORO MAJENGO MIRAMBI MITOMA MOGOTH MORUANGIBUIN MUKALE MUKUNYU MWARO WARD MYERI PARISH NABOLITH NADUNGET NAITAKWAE NAKADELI NAKOBEKOBE NAMRWODO WARD NAMTHIN WARD NATOPOJO NEBBI HILL WARD NSINDE NTOMA NYACARA WARD NYAIBANDA NYAKAGEI NYAKISI PARISH NYAMABUGA OGWIL OGWOLO OLAGO OLOLANGO OLYEJO OMID OMINYA OMWIBALE ONGEMA ONGICIA ONGOCENG OPETA ORIMAI OWEKO OWINY PACEGO PACHAKA PADOLO PAJUR PAKIA PALATAU PAMINYA LOWER PAMINYA UPPER PAMITU PAMORA UPPER PAROKETO PAYERA POKWERO PUNUATAR PUPU PUVUNGU CENTRAL PUVUNGU WEST RAMOGI RUBANGO RUHOKO RUPA RWAITENGYA RWAMUKOORA SWAGERE TAROGALI TEBOKE TEI-ORO THATHA WARD TOKORA TOROMA USUK VURR Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse 4175 1.535 53.398 17.743 8.068 Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse 4175 1.389 42.718 17.616 7.869 Village Village Village Village Village 4175 1 377 186.757 109.159 serial number serial number serial number serial number serial number 3980 1 4194 2103.262 1203.557 household id household id household id household id household id 3980 10310301020014 41511408020164 30924912615850.7 7372639529324.2 date of interview - day date of interview - day date of interview - day date of interview - day date of interview - day 3970 10 1 31 15.324 9.029 date of interview - month date of interview - month date of interview - month date of interview - month date of interview - month 3960 20 8 9 10 11 Sysmiss date of interview - year date of interview - year date of interview - year date of interview - year date of interview - year 3980 2012 roster id of respondent roster id of respondent roster id of respondent roster id of respondent roster id of respondent 3955 25 99 1.449 3.837 start time start time start time start time start time 3967 13 5 9475 1252.294 278.71 end time end time end time end time end time 3932 48 24 4554 1397.24 253.491 language language language language language 3957 23 1 english 2 luganda 3 luo/langi/acholi 4 ateso 5 kuman 6 rutooro 7 karamajong 8 alur Sysmiss other language other language other language other language other language result of interview result of interview result of interview result of interview result of interview 3980 1 interviewed 2 interview incomplete 3 household not found 4 household members temporarily not at home 5 household refused 6 household moved permanently 97 others hh5_q1:lab have any members of the household left the household in last one year hh5_q1:lab have any members of the household left the household in last one year hh5_q1:lab have any members of the household left the household in last one year hh5_q1:lab have any members of the household left the household in last one year hh5_q1:lab have any members of the household left the household in last one year 3980 1 yes 2 no 98 hh6_q1:type of main dwelling that the household occupies hh6_q1:type of main dwelling that the household occupies hh6_q1:type of main dwelling that the household occupies hh6_q1:type of main dwelling that the household occupies hh6_q1:type of main dwelling that the household occupies 3980 1 independent house 2 tenement (muzigo) 3 independent flat/apartment 4 sharing house/flat/apartment 5 boys quarters 6 garage 7 hut 8 uniport 77 other 97 others 98 no response hh6_q1:type of main dwelling that the household occupies other hh6_q1:type of main dwelling that the household occupies other hh6_q1:type of main dwelling that the household occupies other hh6_q1:type of main dwelling that the household occupies other hh6_q1:type of main dwelling that the household occupies other 4 CAMP HUT/TENANT HUTS/ APARTMENT/ PER SHE DOESNT HAVE A HO hh6 q2:what is the tenure status of this household? hh6 q2:what is the tenure status of this household? hh6 q2:what is the tenure status of this household? hh6 q2:what is the tenure status of this household? hh6 q2:what is the tenure status of this household? 3975 5 1 owned 2 rented (normal) 3 rented (subsidized) 4 supplied free by employer 5 supplied free or rent paid by relative or other person 77 other 97 others 98 no response Sysmiss hh6 q2:what is the tenure status of this household - other? hh6 q2:what is the tenure status of this household - other? hh6 q2:what is the tenure status of this household - other? hh6 q2:what is the tenure status of this household - other? hh6 q2:what is the tenure status of this household - other? 10 CUSTOM TRADITI CUSTOMARY LAND FOR THE CHURCH GIVEN BY A BRO GIVEN BY A GOO SHE DOESNT HAV SHE WAS GIVEN SON'S HOUSE SUPPLIED FREE THEIR HOME hh6 q3:how many rooms are there in your household? hh6 q3:how many rooms are there in your household? hh6 q3:how many rooms are there in your household? hh6 q3:how many rooms are there in your household? hh6 q3:how many rooms are there in your household? 3980 1 2 3 4 5 6 7 8 9 10 11 18 hh6 q4:what is the major construction material of the external wall? hh6 q4:what is the major construction material of the external wall? hh6 q4:what is the major construction material of the external wall? hh6 q4:what is the major construction material of the external wall? hh6 q4:what is the major construction material of the external wall? 3980 1 thatch, straw 2 mud and poles 3 timber 4 un-burnt bricks with mud 5 burnt bricks with mud 6 burnt bricks with cement 7 cement blocks 8 stones 97 others 98 no response hh6 q4:what is the major construction material of the external wall - other? hh6 q4:what is the major construction material of the external wall - other? hh6 q4:what is the major construction material of the external wall - other? hh6 q4:what is the major construction material of the external wall - other? hh6 q4:what is the major construction material of the external wall - other? 19 CEMENT+ BRICKS AND ALSO UN BURNED BRICKS WITH MUD CEMENT, SHEETS THATCH AND STRAW MUD AND CEMENT NO HOUSE PLASTERED POLES POLES ONLY STICKS AND KAVEERA STRAW UNBURNT BRICKS AND CEMENT UNBURNT BRICKS WITH CEMENT hh6 q5:what is the major construction material of the roof? hh6 q5:what is the major construction material of the roof? hh6 q5:what is the major construction material of the roof? hh6 q5:what is the major construction material of the roof? hh6 q5:what is the major construction material of the roof? 3980 1 thatch, straw 2 iron sheets 3 tiles 97 others 98 no response hh6 q5:what is the major construction material of the roof - other? hh6 q5:what is the major construction material of the roof - other? hh6 q5:what is the major construction material of the roof - other? hh6 q5:what is the major construction material of the roof - other? hh6 q5:what is the major construction material of the roof - other? 3 POLYTHENE PAPERS-LARGE HIGH GRAMAGED KAVERA SHEETS AND THATCH AND STRAW THATCH STRAW, IRONSHEETS hh6 q6:what is the major construction material of the floor? hh6 q6:what is the major construction material of the floor? hh6 q6:what is the major construction material of the floor? hh6 q6:what is the major construction material of the floor? hh6 q6:what is the major construction material of the floor? 3980 1 earth 2 earth and cow dung 3 cement 4 mosaic or tiles 97 others 98 no response hh6 q6:what is the major construction material of the floor - other ? hh6 q6:what is the major construction material of the floor - other ? hh6 q6:what is the major construction material of the floor - other ? hh6 q6:what is the major construction material of the floor - other ? hh6 q6:what is the major construction material of the floor - other ? 21 BANANA FIBRES CEMENT CEMENT AND ALSO EARTH AND COWDUNG CEMENT AND COWDUNG CEMENT AND GRAVELS CONCRETE COWDUNG AND CEMENT GRAVVEL MUD AND COWDUNG NOT YET PLASTERED POLES SAND AND COWDUNG STONES STRAW UNBURNT BRICKS WOOD hh6 q7: what is the main source of water for drinking for you household? hh6 q7: what is the main source of water for drinking for you household? hh6 q7: what is the main source of water for drinking for you household? hh6 q7: what is the main source of water for drinking for you household? hh6 q7: what is the main source of water for drinking for you household? 3980 1 private connection to pipeline 2 public taps 3 bore-hole 4 protected well/spring 5 unprotected well 6 river, stream, lake, pond 7 vendor/ tanker truck 8 gravity flow scheme 9 rain water 97 others 98 no response hh6 q7: what is the main source of water for drinking for you household - other? hh6 q7: what is the main source of water for drinking for you household - other? hh6 q7: what is the main source of water for drinking for you household - other? hh6 q7: what is the main source of water for drinking for you household - other? hh6 q7: what is the main source of water for drinking for you household - other? 12 BOREHOLE DAM DAMS KULU UNPROTECTED SPRING SWAMP UNDERGROUND WELL UNPROTECTED RAINING WATER UNPROTECTED RUNNING WATER hh6 q8: how long does it take to collect drinking water from the main source - o hh6 q8: how long does it take to collect drinking water from the main source - o hh6 q8: how long does it take to collect drinking water from the main source - o hh6 q8: how long does it take to collect drinking water from the main source - o hh6 q8: how long does it take to collect drinking water from the main source - o 3980 1 2 3 4 5 6 7 8 9 10 12 14 15 16 17 18 20 22 25 30 34 35 40 41 42 43 45 46 50 55 60 62 65 70 75 80 90 115 120 150 160 180 195 240 260 300 480 998 don't know/n/a hh6 q8: how long does it take to collect drinking water from the main source - a hh6 q8: how long does it take to collect drinking water from the main source - a hh6 q8: how long does it take to collect drinking water from the main source - a hh6 q8: how long does it take to collect drinking water from the main source - a hh6 q8: how long does it take to collect drinking water from the main source - a 3980 1 2 3 4 5 6 7 8 10 12 13 15 20 25 26 30 35 38 40 45 50 52 55 60 62 70 80 90 120 126 130 140 150 160 180 190 220 240 300 320 360 420 480 998 don't know/n/a hh6 q9:what type of toilet is used in your household? hh6 q9:what type of toilet is used in your household? hh6 q9:what type of toilet is used in your household? hh6 q9:what type of toilet is used in your household? hh6 q9:what type of toilet is used in your household? 3980 1 covered pit latrine private 2 covered pit latrine shared 3 vip latrine private 4 vip latrine shared 5 uncovered pit latrine 6 flush toilet private 7 flush toilet shared 8 bush 97 others 98 no response hh6 q9:what type of toilet is used in your household other? hh6 q9:what type of toilet is used in your household other? hh6 q9:what type of toilet is used in your household other? hh6 q9:what type of toilet is used in your household other? hh6 q9:what type of toilet is used in your household other? 20 DIG HOLES DIGGING OF THE HOLES TO COVER THE WASTES DIGS HOLES AROUND THE HOME HOLES NO TOILET OR LATRINE SHARES WITH A FRIEND SHARES WITH NEIGHBOUR SHARES WITH OTHER FAMILIES SHARES WITH OTHERS SHARES WITH SON SHARES WITH THE NEIGHBOUR SHARES WITH THE SUN SHARING WITH ANOTHER HOUSEHOLD UNCOVERED PIT LATRINE SHARED USES FOR THE NEIBOURS BECAUSE HER'S IS DOWN hh6 q10:is your household connected to an electricity line? hh6 q10:is your household connected to an electricity line? hh6 q10:is your household connected to an electricity line? hh6 q10:is your household connected to an electricity line? hh6 q10:is your household connected to an electricity line? 3980 1 yes 2 no 98 no response/n/a hh6 q11: what is the main source of lighting in your dwelling? hh6 q11: what is the main source of lighting in your dwelling? hh6 q11: what is the main source of lighting in your dwelling? hh6 q11: what is the main source of lighting in your dwelling? hh6 q11: what is the main source of lighting in your dwelling? 3980 1 electricity (grid) 2 electricity (generator) 3 electricity (solar) 4 paraffin lantern 5 tadooba 6 firewood 7 candle 8 battery/rechargable torch/lanter 97 other 98 no response/n/a hh6 q11: what is the main source of lighting in your dwelling other? hh6 q11: what is the main source of lighting in your dwelling other? hh6 q11: what is the main source of lighting in your dwelling other? hh6 q11: what is the main source of lighting in your dwelling other? hh6 q11: what is the main source of lighting in your dwelling other? 70 CANDLES DOES EVERYTHING DURING THE DAY DOESNT LIGHT ANYTHING DRY GRASS ENTERS BED EARLY FIRE WOOD FIREWOOD GRASS GRASSES HE HAS NOTHING LIGHTS USING GRASS MARTCH BOX NATURAL LIGHT NONE SLEEPS AT DUSK SLEEPS EARLY SOLAR SOLAR LAMP hh6 q12: what type of fuel do you use most for cooking? hh6 q12: what type of fuel do you use most for cooking? hh6 q12: what type of fuel do you use most for cooking? hh6 q12: what type of fuel do you use most for cooking? hh6 q12: what type of fuel do you use most for cooking? 3980 1 electricity (grid) 2 electricity (generator) 3 electricity (solar) 4 paraffin/kerosene 5 charcoal 6 firewood 7 gas 97 other 98 no response/n/a hh6 q12: what type of fuel do you use most for cooking - other? hh6 q12: what type of fuel do you use most for cooking - other? hh6 q12: what type of fuel do you use most for cooking - other? hh6 q12: what type of fuel do you use most for cooking - other? hh6 q12: what type of fuel do you use most for cooking - other? 12 DOES NOT COOK DOES NOT WORK DOESN'T COOK DOESN'T COOK AND EATS AT SON'S HOME DOESNT COOK DOESNT COOKING DONT COOK HE DOES OT COOK HE DOESN'T COOK NONE hh6 q13: what type of cooking technology do you use in your household? hh6 q13: what type of cooking technology do you use in your household? hh6 q13: what type of cooking technology do you use in your household? hh6 q13: what type of cooking technology do you use in your household? hh6 q13: what type of cooking technology do you use in your household? 3980 1 traditional stove (sigiri) 2 traditional 3-stone open fire 3 improved charcoal stove 4 improved firewood stove 5 gas stove/cooker 6 paraffin stove 7 electric plate/cooker 97 other 98 no response/n/a hh6 q13: what type of cooking technology do you use in your household - other? hh6 q13: what type of cooking technology do you use in your household - other? hh6 q13: what type of cooking technology do you use in your household - other? hh6 q13: what type of cooking technology do you use in your household - other? hh6 q13: what type of cooking technology do you use in your household - other? 9 COOKS USING FIREWOOD AND CHARCOAL DOESN'T COOK DOESNT COOK HE DOESN'T COOK NO COOKING TECHNOLOGY NONE hh7 q1:who is the respondent for this section? hh7 q1:who is the respondent for this section? hh7 q1:who is the respondent for this section? hh7 q1:who is the respondent for this section? hh7 q1:who is the respondent for this section? 3979 1 1 2 3 4 5 6 7 9 98 n/a 99 refused to answer Sysmiss hh7 q2:have you personally raiseed an issue that is important to them at a commu hh7 q2:have you personally raiseed an issue that is important to them at a commu hh7 q2:have you personally raiseed an issue that is important to them at a commu hh7 q2:have you personally raiseed an issue that is important to them at a commu hh7 q2:have you personally raiseed an issue that is important to them at a commu 3980 1 no, would never do this 2 no, but would do if had the chance 3 yes, once or twice 4 yes, several times 5 yes, often 6 don’t know 98 n/a 99 refused to answer hh7 q3:in your opinion how likely is it that you could get together with others hh7 q3:in your opinion how likely is it that you could get together with others hh7 q3:in your opinion how likely is it that you could get together with others hh7 q3:in your opinion how likely is it that you could get together with others hh7 q3:in your opinion how likely is it that you could get together with others 3980 1 not likely at all 2 not very likely 3 somewhat likely 4 very likely 5 don’t know 98 n/a 99 refused to answer hh7 q4:do people from outside of your family come to you for advice on any matte hh7 q4:do people from outside of your family come to you for advice on any matte hh7 q4:do people from outside of your family come to you for advice on any matte hh7 q4:do people from outside of your family come to you for advice on any matte hh7 q4:do people from outside of your family come to you for advice on any matte 3980 1 yes, often 2 yes, sometimes 3 yes, rarely 4 no, never 98 n/a 99 refused to answer hh7 q5a:on which step are you today? hh7 q5a:on which step are you today? hh7 q5a:on which step are you today? hh7 q5a:on which step are you today? hh7 q5a:on which step are you today? 3980 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 98 n/a 99 refused to answer hh7 q5b:on which step are most of your neighbours today? hh7 q5b:on which step are most of your neighbours today? hh7 q5b:on which step are most of your neighbours today? hh7 q5b:on which step are most of your neighbours today? hh7 q5b:on which step are most of your neighbours today? 3980 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 98 hh9 q1: does any member of this household currently own any land? hh9 q1: does any member of this household currently own any land? hh9 q1: does any member of this household currently own any land? hh9 q1: does any member of this household currently own any land? hh9 q1: does any member of this household currently own any land? 3980 1 yes 2 no 98 hh9 q2:how many acres are owned in total by members of this household? hh9 q2:how many acres are owned in total by members of this household? hh9 q2:how many acres are owned in total by members of this household? hh9 q2:how many acres are owned in total by members of this household? hh9 q2:how many acres are owned in total by members of this household? 3551 429 580 4.111 11.365 hh9 q3:how many acres of land owned by the household are cultivated for agricult hh9 q3:how many acres of land owned by the household are cultivated for agricult hh9 q3:how many acres of land owned by the household are cultivated for agricult hh9 q3:how many acres of land owned by the household are cultivated for agricult hh9 q3:how many acres of land owned by the household are cultivated for agricult 3547 433 380 2.094 6.806 hh9 q4:how many acres of land owned by the household are currently rented out? hh9 q4:how many acres of land owned by the household are currently rented out? hh9 q4:how many acres of land owned by the household are currently rented out? hh9 q4:how many acres of land owned by the household are currently rented out? hh9 q4:how many acres of land owned by the household are currently rented out? 3549 431 25 0.167 0.958 hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by 3978 2 1 yes 2 no 98 dk/n/a Sysmiss hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by 954 3026 0.05 140 1.801 5.227 hh10 q1: how would you describe the situation of your household now, in terms of hh10 q1: how would you describe the situation of your household now, in terms of hh10 q1: how would you describe the situation of your household now, in terms of hh10 q1: how would you describe the situation of your household now, in terms of hh10 q1: how would you describe the situation of your household now, in terms of 3980 1 doing very well 2 doing well 3 doing just ok 4 struggling 5 unable to meet household needs 98 dk/n/a hh10 q2:compared with a year ago would you say that your household is doing bett hh10 q2:compared with a year ago would you say that your household is doing bett hh10 q2:compared with a year ago would you say that your household is doing bett hh10 q2:compared with a year ago would you say that your household is doing bett hh10 q2:compared with a year ago would you say that your household is doing bett 3957 23 1 a lot better off 2 a little better off 3 about the same 4 a little worse off 5 a lot worse off 6 can’t/won’t say 98 dk/n/a Sysmiss hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? 3855 hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? 1502 2478 1 loss of productive household member (death) 2 loss of productive household member (leaving hh) 3 illness/injury of household member 4 loss of hhs own animals 5 loss of hhs own land or water resources 6 loss of access to land, water or other natural resources for production 7 loss of other productive assets (tools, machinery etc) 8 less income or loss of job 9 less income from animal husbandry, fishing or farming – lower volume of produciton 10 less income from animal husbandry, fishing or farming – higher input costs or lower sales prices 11 less income from animal husbandry, - lower volume of sales 12 less income from other houseold business 13 increased number of dependents 14 large expenditure due to ill health or death of hh member (inc funeral) 15 large expenditure on social obligations 16 increased cost of food 17 increased cost of fuels, transport or other necessities 18 debt repayments 19 loss of aid (ex. ngo programme finishing) 97 other 98 Sysmiss hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? 2502 . AV TRIED GROWING FLOWERS BUT ALOT HAS BEEN DAMAGED BY PEST CANT DIG THE FARM CROPS CULTIVATED ARE WASHED BY RUNNING WATER FROM THE GARDENS DOES NOT HAVE MONEY FOR BASIC NEEDS FLOODS FLOODS AFFECTED THEIR CROPS FOOD IS NOT ENOUGH THIS YEAR GETTING WEAKER EVERYDAY HAD NO FOOD HE AND HIS WIFE ARE SICK HEAVY RAINFALL WASHED AWAY CROPS FROM THE GARDEN HOUSE AND EVRYTHING IN IT GOT BURNT HUNGER,NO CLOTHING I AM GETTING OLD AND WEAK DAY BY DAY I DID NOT GET ENOUGH MONEY TO SEND MY CHILDREN TO SCHOOL I HAVE GROWN OLD AND GOT POOR HEALTH SO CANT WORK AS BEFORE I NO LONGER DIG AND HAVE ENOUGH FOOD LIKE I USED TO I WAS BITTEN BY A SNAKE THEY HAD TO CUT OFF MY LEG IMPRISONMENT OF A HOUSEHOLD MEMBER INCREASE IN FOOD PRICES,ILLNESS AND SICKNESS AND LACK OF CLOTHIN INCREASED COST OF FOOD LACK OF FOOD IN THE HOUSE LACK OF FOOD, LACK OF LAND , SICKNESS LACK OF FOOD, SICKNESS OF THE CHILDREN, ILLNESS LACK OF RAIN FALL LACK OF RELIABLE RAINFALL LARGE EDUCATION EXPENCES AND YET THEY ARE NOT PERFORMING LARGE EXPENDITURE ON EDUCATION LARGE EXPENDITURE ON OTHER ELDER SONS WHO WERE IMPRISONED LATE RETURN OF RAIN INTERFEARED WITH AGRICULTURAL ACTIVITIES LESS FOOD PRODUCTION LESS PROODUCTION LITTLE ABILITY TO PARTICIPATE IN FIELDWORK LOW CROP YIELD LOW OUTPUT FROM AGRICULTURAL PRODUCTS LOW PRICES OF FOOD LOW YIELD FROM CROPS LOW YIELDS MANY RESOURCES HAS BEEN WASTED TO MEET COURT EXPENCES MIGRATED FROM KYENJOJO MIGRATION INTO A NEW PLACE MOST OF CROPS HAVE BEEN AFFECTED BY FLOODS MY AGRICULTURAL PRODUCES WERE STOLEN NO ANIMALS FOR SALE NO CAPITAL FOR BUSINESS. ILLNESS AND SICKNESS. NO EMPLOYMENT NO FOOD NO FOOD , THE LAND IS INFERTILE FOR MATOKE NO FOOD TO EAT NO FOOD TO EAT LEADING TO HUNGER NO FOOD TO EAT THIS YEAR NO FOOD,SICKNESS NO MONEY NO MONEY TO TAKE CARE OF MY OLD MUM NO MONEY TO USE FOR BUILDING NO MONEY,LACK OF FOOD,ILLNESS. NO MUCH PRODUCTION NO PROPER RAINFALL, NO FOOD NO PROPER RAINFALL;POVERTY;POOR YIELD NO RAINFALL, POVERTY NO RAINFALL. LACK OF FOOD. FLOODING. NOT CULTIVATED ANYTHING THIS YEAR SO NO FOOD TO EAT OLD AGE OLD AGE HAS AFFECTED HIS STRANGTH PHISICALLY WEAK AND OFTENLY CANT DIG POOR FARMING METHODS POOR YIELD, POVERTY POOR YIELD. NO MONEY POVERTY, POOR YIELDS RAIN AND BAD WEATER ,DISTANCE FROM HOME RISE IN PRICE OF GOODS SCHOOL HAS BECOME VERY EXPENSIVE AND CHILDREN HAVE TO STUDY SHE IS VERY WEAK TO ACTIVILY PARTICIPATE IN FARM WORK SHORTAGE OF FOOD , LACK OF MONEY SINGLE MOTHER SOME CROPS CULTIVATED WERE SWEPT BY RUNNING WATER STOLE MY MONEY (THEFT),LOSS OF COWS THE HH IS AGEING AND BECOMING WEAKER UNABLE TO WORK THE HOUSE GOT BURNT AND I HAVENT BUILT A SERIOUS HOUSE THE HOUSE HOLD MEMBERS ARE INCREASING AND THE EXPENDITURE THE HOUSEHOLD DID NOT CULTIVATE ANYTHING THIS AGRICULTURAL YEAR THERE ARE NO MONEY IN PEOPLES HANDS, THINGS ARE EXPENSIVE THERE HAS BEEN HUNGER BECAUSE OF LACK OF LAND TO FARM THERE IS ALOT OF HUNGER THERE IS NO ENOUH FOOD STUFF IN THE HOUSE THERE IS NOT ENOUGH FOOD STUFF IN THE HOME THERE IS TOO MUCH SUNSHINE AFFECTING CROPS THERE WAS ENOUGH FOOD PRODUCED LAST YEAR THEREFORE LOW FOOD PRODUCTION THEY DIDNT CULTIVATE ANYTHING THIS AGRICULTURAL SEASON THEY WANT TO CHASE HIM FROM HIS LAND THIS YEAR THE FLOODS HAVE DESTROYED ALL MY FOOD AND HOUSE TOO MUCH RAIN THAT HAS SPOILED THE CROPS IN THE GARDEN TWO MUCH SUNSHINE DESTROYED CROPS VERY OLD AND CANNOT FEED OURSELVES WELL VERY OLD AND WEAK VERY WEAK,NEEDY AND OLD hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? 3627 . A LOT OF RAINFALL WHICH DESTROYED THE CROPS A LOT OF SICKNESS AMONG HH MEMBERS A LOT OF SICKNESS IN THE FAMILY A LOT OF SUNSHINE A LOT OF WATER HAS DESTROYED OUR CROPS ABANDONED KIDS ABSENCE OF GOOD MARKET ACCIDENT ACCUMULATED DEBTS ACUTE TB MY EYES CANT SEE WELL ADVERSE CLIATE , PESTS ADVERSE CLIMATE ADVERSE CLIMATE AFFECTING CROP YIELDS ADVERSE CLIMATE CONDITION ADVERSE CLIMATE NOT GOOD FOR CROPS CAUSING DAMAGE ADVERSE CLIMATIC CONDITION ADVERSE CLIMATIC CONDITIONS ADVERSE CLIMATIC CONDITIONS,NO ENOUGH RAINS FOR CROPS ADVERSE CLIMATIC CONDTION AGE AGE AND MATURE AGEING BREADWINNERS . CHILDREN TAKING ALL THE MONEYFEES AGEING SO CANT WORK AGRI PRODUCE ARE LOW AGRICULTURAL PEST AGRICULTURAL PEST AFFECTING CROPS HENCE LOW PRODUCE AGRICULTURAL PEST DESTROYED BEANS AGRICULTURAL PEST DESTROYED THE BEANS AGRICULTURAL PESTS AGRICULTURAL PESTS AND DISEASES AIDING PROJECT ENDING ALL THE CROPS I HAD CULTIVATED WERE DESTROYED BY THE FLOODS ALOT OF MONEY WAS SPENT ON TREATMENT ALOT OF PEST AND LACKED SEEDS TO PLANT ALOT OF RAINFALL ALOT OF RAINFALL AND INFLATION ALOT OF RAINFALL HAS DESTROYED OUR CROPS ALOT OF RAINFALLS THAT FLOODED AND DESTROYED MY CROPS ALOT OF SUNSHINE ALOT OF SUNSHINE BURNING THE CROPS ALOT OF SUNSHINE SO CROPS ARE DRYING UP ALOT OF SUNSHINE THAT DESTROYS OUR CROPS AM BECOMING WEAK AND SICKLY AM GETTING WEAK OLD TO SURVIVE AM NOW OLD AND WEAK ANIMAL DISEASE WERE JUST TOO MUCH ASMATIC IS CHRONOCAL DISEASE CAUSED NATURALLY AVAILABILITY OF RAINFALL BAD CLIMATE BAD CLIMATE AND POOR SOIL BAD CLIMATE BECAUSE OF TOO MUCH SUNSHINE AND RAINFALL BAD CLIMATE, TOO MUCH SUNSHINE BAD CLIMATIC CHANGE BAD CLIMATIC CONDITION BAD CLIMATIC CONDITIONS BAD ROADS BAD WEATHER BAD WEATHER (FLOODING) BAD WEATHER AND DELAY IN RAINY SEASON BAD WEATHER AND LESS LABOUR FOR FOOD PRODUCTION BAD WEATHER AND RAIN COMING LATE BAD WEATHER CONDITION BAD WEATHER CONDITIONS BAD WEATHER CONDITIONS IN THE AREA BAD WEATHER CONDITIONS THAT DESTROYS CROPS BAD WEATHER WHICH HAS DAMAGED CROPS IN THE GARDEN BAD WEATHER WITH MUCH SUN BAD WETHER CONDITIONS BECAUSE I HAD NOTHING TO SELL AND STRIVE ON BECAUSE OF THE OLD AGE AND SICKNESS I CAN NOT DIG BECAUSE THE FLOODS DESTROYED ALL THE CROPS BECAUSE THE LITTLE MONEY LEFT WAS SPEND ON TREATMENT BEING REDUNDANT DUE TO OLD AGE BODY WEAKNESS AND OLD AGE BODY WEKNESS DUE TO SICKNESS BUSINESS IS DOWN THIS YEAR CALAMITIES/FLOODING CAN NOT TELL WHY THERE IS LOW PRODUCTION OF CROPS CAN'T TELL WHAT IS HAPPENING WITH THE SCHOOL CANCER CANT SAY CANT SAY WHAT WENT WRONG CAR ACCIDENT CHANG IN LIFE CIRCUMSTANCES CHANGE IN CLIMATIC CONDITIONS CHANGE IN FAMILY CHANGE IN FAMILY LIFESTYLE CHANGE IN LIFE CHANGE IN LIFE CIRCUMSTANCE CHANGE IN LIFE AGING BREAD WINNER CHANGE IN LIFE CIRCUMSTANCE CHANGE IN LIFE CIRCUMSTANCES CHANGE IN THE WEATHER CONDITIONS CHANGE OF LIFE CIRCUMSTANCES CHANGE OF WEATHER IS WASN`T FAVOURABLE CHANGES IN CLIMATE PATTERNS IN THE AREA CHANGES IN DEMAND CHANGES IN WEATHER CONDITION CHILDREN GOT MARRIED CLIMATE CLIMATE CHANGE CLIMATE CHANGES CLIMATE DID'NT FAVOUR CROPS CLIMATE FAILURE CLIMATIC CHANGE CLIMATIC CHANGE,LOW PRODUCE MEANS LOW INOME CLIMATIC CHANGES CLIMATIC CONDITION CLIMATIC CONDITION CAUSING FLOODING CLIMATIC FAILURE CONFLICT CONFLICT AMONG CHILDREN OVER LAND CONFLICT BETWEEN TURKANA AND JIE MADE ME RUN TO MOTOTO CONFLICT WITH OTHER RELATIVES-THIEVES CONFLICTS AND MISUNDERSTUNDING CONSTANT CONSTANT LAND WRANGLING CONSTANT SICKNESS CONSTANT SICKNESS HAS LET TO LOW PRODUCTION CROP DISEASE, BANANA DISEASE CROP FAILURE CROPS ARE PRODUCING POOR YIELDS BRCAUSE THEY GET ROTTRN IN THE GARDENS CROPS DESTROYED BY FLOODS CROPS FAILURE CROPS LOST CROPS WERE AFFECTED BY PESTS CROPS WERE DESTROYED DEATH DEATH AND DISEASES DEATH OF A HHOLD MEMBER DEATH OF FAMIMILY MEMBERS DEATH OF FIRST BORN SON WHO WAS PROVIDING FOR THE HHOLD DEATH OF HER HUSBAND RENDERED HIM VULNERABLE DEATH OF HHOLD HEAD DEATH OF HOUSEHOLD HEAD DEATH OF MY HUSBAND DEATH OF THEIR FATHER AND MOTHER DELAYED RAINS HENCE POOR HOUSES DEPARTURE OF HER BELOVED PASTURE AND UNEMPLOYMENT DEPENDS ON OTHER HOUSEHOLDS FOR SUPPORT BECAUSE THE WIFE CANT DO THING DESEASE MALARIA DESTRUCTION CAUSED BY RAINFALL DESTROYED AGRICULTURAL PRODUCT DESTRUCTION OF CROPS BY HAIL STORMS DIABETES (SICKNESS) DIABETTES DID NOT CULTIVATE BECAUSE OF SICKNESS DID NOT CULTIVATE DUE TO SICKNESS DIED OF SICKNESS DISABILITY DISEASE DISEASE (SICKNESS OF THE UTERUS) DISEASE AFFECTING SIRGUM DISEASE AND OLD AGE DISEASE AND SICKNESS DISEASE HENCE AFFECTING WORK DISEASE OF CHILDREN DISEASE OF THE WOMAN CANNOT CULTIVATE BECAUSE OF BODY WEAKNESS DISEASE,COUGH AND FLUE WEAKENED MY BODY DISEASE/ OPERATION DISEASE/PESTS DISEASES DISEASES , NO RAINFALL DISEASES AND SICKNESS DISEASES ATTACKED US DISEASES E.G PRESSURE ,SICKNESS IN THE STOMACH DISEASES HAD BEEN KILLING THEM DISEASES LIKE DIABETIS, OVER SUNSHINE DISEASES LIKE MALARIA DISEASES, OVERSUNSHINE DISEASES, POOR YIELDS DISEASES,TOO MUCH SUN DISEASES/DIABETES DISEASESS DISIESES DON'T KNOW DONT HAVE ENERGY AS AM SICK AND TOO OLD DROUGHT DROUGHT AFFECTED THE FIELDS DROUGHT PROLONGED DROUGHT/TOO MUCH SUN DUE FLOODS DUE TO ALOT OF FLOODS DUE TO BAD ROADS DUE TO CLIMATIC CHANGE DUE TO DALAYED RAINFALL DUE TO FLOODS ALL THE CROPS ARE DESTROYED DUE TO HIGH RAINFALL DUE TO INCREASED DEPENDENTS DUE TO LITTLE RAINFALL DUE TO LOW RAINFALL DUE TO MUCH SUNSHINE DUE TO OLD AGE NO ENERGY DUE TO OLD AGE SHE DOESN'T DO ANY BUSINESS DUE TO RAINS MAKING WATER LODGING DUE TO RENTING LAND WHICH IS NOT FERTILE DUE TO SICKNESS DUE TO SICKNESS SHE CANT WORK LIKE BEFORE DUE TO SICKNESS WE HAVE NOT CULTIVATEE ALOT DUE TO TOO MUCH SUNSHINE EARLY PREGNANCY ECONOMIC ACTIVITIES NOT BOOMING HENCE LOW INCOME ECONOMY IS BAD EFFECTS OF PESTS ELDERLY DISEASES AND STRESS EXTENDED FAMILY FALLEN SICK THAT RENDERED THE WEAK FIGHTING IN THE KARAMOJA REGION FIRST HARVEST WAS DESTROYED FLOOD FLOOD HEAVY RAINS FLOODING FLOODING IN THE GARDENS FLOODING OF GARDEN FLOODING OF GARDENS FLOODS FLOODS DESTROYED THE FOOD FLOODS WASHED AWAY THE CROPS FOOD IS EXPENSIVE FREQUENT ILLNESS FREQUENT SICKNESS OF SPOUSE TO HEAD OF HOUSEHOLD FREQUENT SICKNESS AND ILLNESS FREQUENT SICKNESS OF HOUSEHOLD HEAD GENERAL WEAKNESS IN THE BODY GETTING OLD AND WEAK GETTING OLDER AND WEAK GETTING OLDER. GETTING WEAKER AND OLD GETTING WEAKER EVERY YEAR GOT A MYSTERIOUS ATTACK THAT KILLED HIM GOT AN INJURY GOVERNMENT POLICIES ON FOOD STUFFS GROWING POPULATION HAD NO ONE TO HELP ME WITH FARMING HAIL STONES AFFECTED THE CROPS HD SOLD SOME OF THE ANIMALS HE CHANGED HIS MIND ABOUT ME AND GOT OTHER WOMEN HE HAS BEEN SICK FOR A LONG TIME HE HAS BEEN SICK FOR ALONG TIME HE HAS BEEN SICK FOR THE LAST 5 MONTHS SO HE COULD NOT WORK HE WAS ILL FOR A LONG TIME HEAD OF HOUSEHOLD DOES NOT WORK HEAD OF THE HOUSEHOLD BECAME SICK FOR A PERIOD OF TWO MONTHS HEART PROBLEM HEAVY FLOOD HEAVY FLOODS DESTROYING CROPS HEAVY RAIN DESTROYED CROPS HEAVY RAINFALL HEAVY RAINS CAUSING FLOADING HEAVY RAINS FALL WITHSNOW DESTROYED WHAT WE PLANTED HEE IS WEEK CANT DO ANY THING HIGH COMMODITY PRICES HIGH COST OF FOOD HIGH COST OF FOOD AND INCREASE RESPONSIBILITIES TO GRAND HIGH COST OF LIVING HIGH COST OF LIVING AND BAD CLIMATE HIGH EXPENDITURE ON FEES HIGH EXPENSE ON EDUCATION HIGH SUNSHINE. NO RAINS HIGH TAXES FROM THE GOVT HOUSEHOLD MEMBERS ARE MORE SICKLY HUNGER BROUGHT WEAKNESS AND SICKNESS HUSBAND LEFT HOME AND WENT AWAY HWAKERS WHO MOVE WITH CLOTHES UP TO THE CUSTOMERS I AM AGED AND FEELING WEAKER I AM OLD NOW I DONT DIG FOR MY MEMBERS I AM THE ONLY BREAD WINNER IN THE HOUSEHOLD I BORROWED I CAN NO LONGER DIG MY MY FARM I CAN NOT TELL EXACTLY WHAT THE PROBLEM IS I CANNOT TELL ITS JUST THE NATURE I DEVELOPED WOUNDS IN THE STOMACH I DIDN'T CULTIVATE ENOUGH I DNT HAVE ENERGY I DON'T KNOW SOMETHING HAS CHANGED I DONT HAVE MONEY TO RENT LAND I DONT HAVE MY OWN LAND TO CULTIVATE I FELL SICK SHORTLY AND COULD NOT MANAGE TO DIG ALOT I GOT AN INJURY ON THE LEG WHEN FARMING I HAVE BEEN FALLING SICK A LOT AND CANT FARM MUCH I HAVE GROWN OLD I HAVE LESS ENERGY TO CULTIVATE DUE TO OLD AGE I NO LONGER DIG DUE TO OLD AGE I NO LONGER HAVE ENOUGH ENERGY TO CULTIVATE A BIG PIECE OF LAND I QUARELLED WITH MY WIFE I SPENT ALOT OF TIME IN HOSPITAL,SO I DID NOT CULTIVATE I STATED DIGGING LATE DUE TO TOO MUCH SUN I WAS AMBUSHED I WAS CHASED FROM HOME BY MY PARENTS ICREASED NUMBER OF RESPONDENTS ILLNESS ILLNESS AND POOR CLIMATE ILLNESS FORCED HER O GET LOAN ILLNESS OF HEAD OF HOUSES ILLNESS OF HOUSEHOLD HEAD ILLNESS OF MY DOUGHTER HAD TO TAKE CARE OF HER IN HOSPITAL ILLNESS OF PRODUCTIVE MEMBER ILLNESS OF THE HH HEAD AND WIFE ILLNESS OF THE HOUSEHOLD ILLNESS/ DISEASE ILLNESSS OF THE HEAD OF HH ILNESS OF HOUSEHOLD HEAD IMMIGRATION (MZEE JOINED MY HOUSEHOLD) &HIS FAMILY IMPACT OF CLIMATIC FAILURE INADEQUATE INCOME INADEQUATE LABOUR AND CLIMATIC CONDITION INADEQUATE LABOUR TO CULTIVATE INADEQUATE LAND AREA INCREASE COSTS OF FOOD INCREASE NUMBER OF DEPENDANTS INCREASED EXPENDITURE ESPECIALLY SCHOOL FEES INCREASED NO OF DEPENDANTS INCREASED NUMBER OF DEPENDANTS INCREASED PRICES FOR COMMODITIES INJURED MY LEG THE TIME WAS FETCHING FIRE WOOD INJURY INJURY / DISEASE INJURY /DISEASE INJURY /DISEASES INJURY AND DISEASES INJURY AT THE BACK INJURY DISEASE INJURY/DISEASE INJURY/DISEASES INSUFFICIENT CASH TO MEET BASIC NEEDS ISUFICIENT RAINS IT DID NOT RAIN MUCH IN THE PLACE IT WAS SUNNY IT WAS SUNNY THIS SEASON IWAS SICK EARLY THIS YEAR KIDNEY FAILURE LACK OF A GOOD JOB TO EARN ENOUGH MONEY LACK OF ACCESS TO LAND DUE TO FLOODS LACK OF EMPLOYMENT OR JOBS IN THE ARREARS LACK OF ENOUGH FOOD AND OTHER COMMODITIES LACK OF ENOUGH LAND FOR AGRICULTURE LACK OF ENOUGH MONEY TAKE CARE OF THEM LACK OF ENOUGH SUPPORT LACK OF HUMAN RESOURCES LIKE MAN LABOUR LACK OF INVESTMENT IN THE HH IN THE PAST YEAR LACK OF JOB OPPORTUNITY LACK OF MONEY FOR TREATMENT LACK OF RESOURCES LACK OF RESOURCES FOR CULTIVATING LACK OF STRENGTH TO WORK IN THE GARDEN LAND GETS UNFERTILE AFTER SOME TIME AND NEEDS A BREAK LAND HAS BECOME LESS PRODUCTIVE LAND WRANGLES LARGE NUMBER OF BROTHER LAND INHERITORS WHICH RESULTED IN SHARING OF LAST YEAR I ONLY CONCENTRATED ON COTTON LEADING TO LESS PRODUCTION OF FOOD LESS CUSTOMERS LESS FOOD PRODUCTION IN A WAY I CAN'T REALLY EXPLAIN LESS FOOD PRODUCTION IN AGRICULTURE LESS INCOME, FISHING OR FARMING, LOWER INCOME OF PRODUCTION LESS MARKET FOR THE GOODS AND SERVISCES DUE TO TO DOWN FALL IN THE ACT LESS MONEY GOT FROM THE BUSINESSES DONE BY THE HOUSEHOLD HEAD LESS RESOURCES FOR CULTIVATION AND DISEASES LESS SALES , LOSS ANIMALS LESS SALES,FIRE LESS TRADE, NO BUSINESS IN AREA TO SURVIVE LESS TRADING LESS TRADING ACTIVITIES LESS TRADING ACTIVITY IN THE AREA LESS TRADING IN THE AREA LESS/FEWER CUSTOMERS LIMITED LABOUR FOR CULTIVATION BECAUSE ONE FAMILY MEMBER IS SICK LITTLE INCOME FROM THE HOUSEHOLD LITTLE LAND NO PRODUCT FOR SALE LITTLE RAIN LITTLE RAINFALL LITTLE RAINFALL,SICKNESS,LOW PRODUCTS TO SELL LITTLE RAINNY SEASON LIVESTOCK RAIDED LONG DISTANCE TO LAND FOR CULTIVATION LONG DROUGHT LONG DRY SPELL LONG ILLNESS BY THE SON LONGIME ILLNESS OF PRODUCTIVE HOUSEHOLD LOSS OF ANIMALS LOSS OF ANIMALS WHICH WERE TAKEN BY THE K'JONG OF JIE LOSS OF JOBS LOSS OF PRODUCTS FROM THE GARDENS FOR SALE LOST HOUSEHOLD HEAD WHO COULD HELP GET LAND LOST PRODUCTIVE COWS LOST THE FAMILY MEMBERS LOTS OF BODY PAIN LOTS OF PRODUCTIVE MEMBER OF HHOLD LOW DEMAND IN THE MARKET LOW LAOUR SUPPLY ON AGRICULTURAL PRODUCTION DUE TO OLD AGE LOW MILK PRODUCTION LOW OUTPUT FROM AGRICULTURE LOW OUTPUT FROM FARMING LOW PRODUCE LOW PRODUCTION IN AGRICULTURE LOW PRODUCTIVE INCOME IN TERMS OF SALES LOW RAINFALL LOW YIELD FROM FARM MADNESS WAS NATURAL MAJORITY OF PEOPLE HAD GROWN GROUNDNUTS AND SOYA BEANS, LOW PRICES MALARIA MARKET CLOSED WHERE SHE WAS RUNNING A HOTEL MIGRATION MILD ILLNESS MILD SICKNESS MISUNDERSTANDING/CONFLICT MONEY BECOMING VALUELESS MONKEYS ATE ALL THE GROUNDNUTS AND BEANS MORE SUNSHINE MOST OLD AGE HOUSEHOLD MEMEBRS HAVE LEFT THE HOUSE MUCH SUNSHINE MY CHILDRENS ARE JOINING INSTITUTIONS MY HARDWORK AND ALSO BECAUSE AM DOING WELL MY HSE FELL DUE TO ADVERSE CLIMATIC CONDITIONS MY HUSBAND DIED AND LEFT ME WITHOUT ANY SAVINGS MY HUSBAND HAS MANY WIVES AND CHILDREN MY HUSBAND IS MENTALLY ILL SOMETIMES , SO HE CANNOT WORK MY HUSBAND WAS AWAY FOR SOMETIME SO IT WAS DIFFICULT FOR THE FAMILY MY LAND WAS GRABBED FROM ME AND SOLD OFF MY LEG GOT BROKEN MY NAME WAS SCRAPPED FROM PAY ROLL MY SICK AND DISABLED NOTT ABLE TO CULTIVATE MY SON LOST THE WIFE MY STRENGTH IS NOW WEAKENED MY TRANSFER TO ANOTHER SUB- COUNTRY MY WIFE LEFT AND I HAD STRUGGLE TO LOOK FOR HER (SPENT ALOT) MY WIFE WAS OPERATED AND STOPPED FROM WORKING NATURAL CAUSE NATURAL CAUSES NATURAL DISEASES NATURAL SICKNESS NATURE NEVER WORKS DUE TO OLD AGE NO ASSETS IN HOUSEHOLD/UNRESOURCEFUL HOUSEHOLD NO ASSETS TO GENERATE INCOME,NO LAND NO ASSETS, CHANGE IN NATURE AND LIFE NO BUSINESS, NO SALES FROM THE GARDEN NO BUYERS NO CAPITAL TO RUN THE BUSINESS,LOSS OF LIVESTOCK NO EMPLOYMENT OPPORTUNITIES IN THE AREA NO FARM NO FLOODS NO FOOD PRODUCED ON TIME FOR SALE NO JOB AND NOTHING TO SELL NO JOBS,NO SALES FROM AGRICULTURE NO LAND FOR AGRICULTURE NO MARKETS FOR OUR PRODUCE NO MONEY NO MONEY FOR US TO PURCHASE FOOD IN THE LOCAL MARKET NO MONEY FOR US TO PURCHASE GOODS FROM THE MARKET NO MONEY TO PAY PEOPLE TO WORK FOR HER,NEITHA FOR BUILDING NO MONEY TO RENT LAND FOR CULTIVATION NO ONE HAS A JOB TO EARN MONEY TO HELP THE HOUSEHOLD NO OR LESS JOB OPP TO EARN INCOME NO PRODUCTIVE ASSET,WEAK PHYSICALLY NO RAIN AND IT CAME LATE NO RAIN SO FISHING IS DIFFICULT NO RAINFALL NO RAINFALL, OVER SUNSHINE NO RAINRFALL,ACCIDENT NO RAINS ON THE LAND NO SALES NO TIME FOR ME TO GO AND LOOK FOR MONEY BECAUSE OF CHILDREN NO WAY OF GETTING MONEY THROUGH WORK NO WORK TO DO NOTHING TO SELL AS CROPS WERE NOT DOING WELL OFTEN SICKNESS OLD AGE OLD AGE ,DISEASES OLD AGE AFTER ILLNESS OLD AGE AND DISEASES OLD AGE AND GENERAL BODY WEAKNESS OLD AGE AND GETTING WEAK OLD AGE AND HENCE CAUSING DISEASES AND DISSABILITIES OLD AGE AND LACK OF FARM EQUIPMENT OLD AGE AND NATURE OLD AGE AND POOR HEALTH OLD AGE AND SICKNESS OLD AGE AS A RESULT OF DISEASE,NO MONEY OLD AGE CAUSING LESS ENERGY FOR FARMING OLD AGE IS AFFECTING THEIR DAILY ACTIVITIES OLD AGE SICKNESS OLD AGE THAT HAS NOW WEAKENED ME OLD AGE/ DISEASE OLD AGE/DISEASE OLD WOMAN,LIMITED HELP OLDAGE OLDM AGE OLG GAE, DISEASES ONLY FEW PEOPLE ARE ENGAGED IN FARMING ONLY ONE PERSON DIGGING FOR THE HOUSE OUR LAND WAS CONFISCATED OVER CULTIVATION ON THE SAME LAND OVER SUNSHINE PAIN IN THE CHEST AND TOO MUCH HEADACHE PASISTANCE SICKNESS PASSED ON (WIFE) PEOPLE BUY MY PRODUCT AT A CHEAPER PRICE THUS LITTLE MONEY IN MY HOME PEOPLE COME FROM DIFFERENT ANGLES TO BUY FOOD FROM THIS AREA PERSISTENCE SICKNESS PEST PEST AFFECT THE CROPS PEST AFFECTED THE CROP PEST AFFECTED THE CROPS PEST DESTROYED CROPS PEST DESTROYED OUR CROPS PEST HAV AFFECTED THE CROPS PEST HAVE AFFECTED PEST HAVE AFFECTED THE CROPS PEST IN THR GARDEN PEST OF DISEASE HAS SO MUCH AFFECTED IT PESTS PESTS AFFECED THE PLANTATION PESTS AFFECTED PESTS AFFECTED CROPS PESTS AFFECTED THE CROPS PESTS AND DISEASES PESTS AND DISEASES AFFECTING CROPS PESTS AND DISEASES AFFECTING THE YIELD PESTS AND DROUGHT PESTS DESTROYED OUR CROPS PESTS HAVE AFFECTED THE CROPS PESTS IN AGRICULTURE, BAD WEATHER PESTS STRUCK MY GARDEN AND DESTROYED MY CROP PESTS THAT ATTACKED OUR CROPS PESTS THAT EATS OUR CROPS PLANTED CROPS LATE POOR CLIMATE POOR CLIMATE CONDITION AND PEST POOR CLIMATE, LESS PRODUCE POOR CLIMATIC CONDITION POOR CLIMATIC CONDITIONS POOR HEALTH POOR HERVEST POOR RAINS POOR ROADS POOR WEATHER POOR WEATHER CONDITION POOR WEATHER SO NO FOOD IN ABUNDANCE POOR YIELDS POOR YIELDS FROM GARDENS POOR/BAD WEATHER POVERTY POVERTY AND BAD WEATHER CONDITION PRICE FLACTUATION IN THE MARKET PRODUCED MORE SOLD AT AVERY LOW COST HENCE UNABLE TO MAKE SAVING RAIN CAME BACK LATE RAIN COME BACK LATE RAIN COMEBACK LATE, TOO MUCH SUNSHINE RAIN HAS DESTROYED WHAT WE PLANTED RAIN WAS INADEQUATE RAIN WAS LATE RAINFALL RAINFALL COME LATE FOR US RAINFALL DELAY RAINFALL THAT HAS BEEN TOO MUCH RAINS DESTROYED THE CROPS RAINS WERE SCARCE RETIRED RITIRED BREAD WINNER , LESS SAKES SEPARATION FROM THE HUSBAND SEPARATION WITH HUSBAND SEVER SICKNESS OF A PRODUCTIVE HOUSE HOLD MEMBER SEVERE SICKNESS AMONG THE HOUSEHOLD MEMBERS SHE CANNOT PROVIDE FOR ALL HER DEPENDANT SHE DIED OF PRESSURE SHE FELL SICK AND ALL THE MONEY WAS USED FOR TREATMENT SHE GOT BURNT BUT AFTERWARDS SHE HAD AMEMOMIA SHE HAS BEEN DOWN FOR SOMETIME YET SHE IS THE MAIN PERSON SHE HAS BEEN SICK SHE HAS BEEN SICK FOR SOME TIME SHE HAS BEEN SICK FOR THE LAST 3 YEARS SHE HAS BEEN SICKLING SHE HAS BODY PAIN ALL OVER SHE IS SICK SHE IS WEAK DUE TO OLD GAE , SHE NO LONGER WORKS SHE NO LONGER WORKS DUE TO OLD AGE SHE NO LONGER WORKS LIKE BEFORE DUE TO OLD AGE SHE NOLONGER WORKS DUE TO OLD AGE SHORTAGE OF FOOD DUE TO THE SUNSHINE WHICH DESTROYED MOST CROPS SHORTAGE OF RESOURCES FOR CULTIVATING SICK SICK CHILD SICKNESS SICKNESS /OLD AGE SICKNESS AND DISEASE SICKNESS AND ELDERLY SICKNESS AND ILLNESS OF THE CHEST SICKNESS AND LESS MAN LABOUR WORKING OR HARVING JOBS SICKNESS AND NO ONE TO HELP HER CULTIVATE SICKNESS AND OLD AGE SICKNESS COMES NATURALLY ULCERS SICKNESS DUE TO DISLOCATION OF THE HAND SICKNESS DUE TO OLD AGE SICKNESS FOR A LONG TIME SICKNESS HAS MADE HAS TO HAVE NO TIME TO CULTIVATE SICKNESS ILLNESS OF THE HOUSEHOLD HEAD SICKNESS IN THE HOUSE SICKNESS INTHE FAMILY SICKNESS MADE THE HOUSE HOLD MEMBER FAIL TO CULTIVATE SICKNESS MADE THE MEMBERS FAIL TO CULTIVATE SICKNESS OF A HOUSEHOLD HEAD SICKNESS OF ANIMALS AND RESISTANCE TO MEDICINE SICKNESS OF HEAD OF HOUSE AND HIS SON SICKNESS OF HEAD OF THE HH SICKNESS OF HOUSEHOLD HEAD CONSTANTLY SICKNESS OF HOUSEHOLD MEMBERS SICKNESS OF THE HHOLD HEAD SICKNESS OF THE HOUSEHOLD HEAD SICKNESS SO WE DINT DIG SICKNESS THAT HAS PERSISTED SICKNESS THAT STOPED ME FROM WORKING SICKNESS WHICH CAUSED THE DEATH OF THE MOTHER SICKNESS WHICH HAS PREVENTED ME FROM CULTIVATING SICKNESS WHICH RETARDS MY NORMAL AGRICULTURAL ACTIVITIES SICKNESS,DEATH OF ANIMALS,OLD AGE SICKNESS/DISEASES E.G LANG CANCER SICKNESS/OLD AGE SICKNESSAND OLD AGE,NO ONE TO HELP CULTIVATE SICNESS OF HOUSE HOLD HEAD AND SPOUSE SOME INSECTS AFFECTED THE CROPS SOME MEMBERS ARE NOT NOW PRODUCTIVE SOME WORMS DESTROYED THE BEANS TOTALLY THIS YEAR SONS WERE IMPRISONED SUNNY CONDITIONS LED TO UNTIMELY PLANTING SUNSHINE LAST SEASON WAS TOO MUCH SUNSHINE WAS A PROBLEM IN THIS AREA SUNSHINE WAS MUCH THAT MADE ITEXPENSIVE SUNSHINE WAS TOO MUCH SUNSHINE WAS TOO MUCH LAST SEASON THIS YEAR SWOLLEN LEG WHICH DOESN'T ENABLE ME TO DIG VERY MUCH THAT WAS THEIR SEASON THE BAD CLIMATIC CONDITIONS THE BAD WEATHER CHANGE THE BODY IS WEAK AND OLD AGE SO SHE CSNT DO ANYTHING BY HERSELF. THE BREAD WINNER IS SICK OF KIDNEY FAILURE THE CHANGES IN CONDITIONS LIKE NETS THE CLIMATE CHANGED DRASTICALLY THE CLIMATE HAS NOT BEEN FAVOURABLE FOR FOOD PRODUCTION THE CLIMATE WAS NOT FAVOURABLE THE CLIMATIC CONDITION DID NOT ENABLE THE CROPS YIELD HIGHLY THE CLIMATIC CONDITIONS WERE UNFAVOURABLE THE CORESPONDENTS BULL WAS STOLEN AND SPENT ALOT TO GET BACK THE COST OF LIVING IS HIGH THE CROPS ARE IMMATURE THE CROPS WERE ATTACKED BY PESTS AND BAD CLIMATE THE DEATH OF TH EHEAD OF THE FAMILY (HUSBAND) THE DEATH OF THE FATHER AND NOW IS THE MOTHER STRUGGLING A LONE THE DROUGHT HAS AFFECTED OUR AGRICULTURE PRODUCE THE FERMINE LAST SEASON THE FLODS WASHED AWAY THE CROPS THE FLOODS DESTROYED CROPS THE FLOODS WASHED AWAY THE CROPS THE HEAVY RAINS CREATED RIVERS IN THE GARDENS THE HOUSE GOT BURNT AND EVERY THING GOT BURNT IN IT THE HUSBAND HAS BEEN SICK FOR A LONG TIME,SO SHE WORKS A LONE THE HUSBAND IS WEAK DUE TO SICKNESS THE LAND IS NOT CULTIVATED THE LAND IS NOW UNFERTILE THE MAN HAS MARRIED ANOTHER WIFE WITH MANY KIDS THE MONEY MY HUSBAND HAD LEFT GOT OVER THE MOUTH IS SWOLLEN.OTHE BODY PAINS MY WAIST.I DONT SEE WEL THE OLD AGE AND ILLNESS HENCE BEING WEAK THE OUT PUT OF AGRICULTURAL PRODUCT IS LOW HENCE REDUCT IN INCOME THE PEST AFFECTED TH E CROPS THE PEST AFFECTED THE CROPS THE RAIN CAME ABIT LATE THIS YEAR THE RAIN DESTROYED THE CROPS THE RAIN HAS AFFECTED MOST OF OUR CROPS THE RAIN RETURNED LATE WHICH DID NOT FAVOUR CROP GROWN THE RAIN SWEPT AWAY CROPS IN THE GARDEN THE RAINS ARE TOO MUCH THE RAINS CAME BACK LATE THE RAINS CAME IN ABIT LATE THE RAINS CAME LATE WHICH DID NOT FAVOUR THE CROPS THE RAINS HAVE DESTROYED EVERYTHING IN THE GARDEN THE RAINS HAVE NOT BEEN CONSISTENT THE RAINS RETURNED OUT LATE THIS YEAR THE RAINS WERE ENOUGH THE RAINS WERE SO HEAVY THE RAINS WERE VERY HEAVY WHICH AFFECTED THE CROPS THE ROADS ARE NOT GOOD TO TRANSPORT GOODS FOR SALE THE SEASON IS VERY BAD BECAUSE THERE IS LOW FOOD PRODUCTION FOR SALES THE SICKNESS OF THE HEAD OF THE HOUSEHOLD THE SICKNESS OF THE SPOUSE TOOK MUCH MONEY THE SUN DESTROYED THE BEANS IN JUNE THIS YEAR THE SUN WAS VERY HOT THE SUNSHINE WAS NOT FEVOURABLE THIS YEAR THE SUNSHINE WAS TOO MUCH THROUGH OUT THE YEAR THE UNFAVOURABLE CLIMATIC CONDITION THE WEATHER IS NOT FAVOURABLE FOR HER THE WEATHER IS NOT FAVOURABLE FOR THE ANIMAL THE WEATHER WAS NOT GOOD THEINJURIES HAS MADE MY YEARS WORSE THEIR PARENTS DIED THERE ARE FEW TRADERS HENCE LOWER PRICES THERE ARE MANY BUYERS AND SELLERS OF THE SAME PRODUCT THERE HAS BEEN ALOT OF RAIN THIS YEAR THAT CAUSED ALOT OF DAMAGE THERE HAS BEEN ALOT OF RAINFALL THERE HAS BEEN ALOT OF SUNSHINE THIS YEAR THERE IS LITTLE FOOD PRODUCTION THERE IS NO ENOUGH LAND TO CULTIVATE THIS YEAR THERE IS NO WORK ESPECIALLY LABOR WE OFFER IN THE GARDENS THERE IS POOR HARVEST THERE IS TOO MUCH SICKNESS THERE WAS A PROLONGED DRY SEASON THERE WAS LITTLE RAIN THIS YEAR THERE WAS NO RAIN EARLY THIS YEAR THERE WAS TOO MUCH RAIN WHICH DESTROYED THE CROPS THERE WERE A LOT OF RAINFALL THAT MADE CROPS TO ROT THESE IS DUE TO CHANGES IN WEATHER CONDITION THEY HAVE FAILED TO FIND OUT WHAT AM SUFFERING FROM THINK IT'S BECAUSE OF THE HIGH RAINFALL THIS HAS BEEN CAUSED BY FLOOD THIS IS BECAUSE OF BAD WEATHER THERE HAS BEEN A LOT OF SUNSHINE THIS IS DUE TO MUCH SICKNESS THIS IS DUE TO OLD AGE SICKNESS THIS YEAR WE OVER WORKED TO MUCH SUNSHINE WHICH DRIED UP THE BEANS TOO MUCH SUNSHINE TOO MUCH DISEASE TOO MUCH DRY SEASON TOO MUCH FLOODS AND RAINS TOO MUCH FLOODS SO MOST OF OUR FOODWAS DESTROYED TOO MUCH RAIN TOO MUCH RAIN DESTROYING SUNFLOWER TOO MUCH RAIN SPOILING CROPS TOO MUCH RAIN WHICH HAS SPREAD MALARIA TOO MUCH RAINFALL TOO MUCH RAINFALL AND IT DESTOYED BEANS TOO MUCH RAINFALL CAME AND SWEPT AWAY OUR GARDEN TOO MUCH RAINFALL CAUSE FLOODS TOO MUCH RAINFALL HAS AFFECTED MY CROPS ALOT TOO MUCH RAINFALL MAKING BEANS NOT TO GROW WELL TOO MUCH RAINFALL SPOILT THE CROPS TOO MUCH RAINFALL THAT HAVE CAUSED THE GARDENS TO FLOOD TOO MUCH RAINFALL THIS YEAR SPOILT THE CROPS TOO MUCH RAINFALL THUS DESTROYING THE BEANS TOO MUCH RAINFALL UNFAVORABLE CLIMATIC CONDITION TOO MUCH RAINFALL WHICH DESTOYED THE BEANS TOO MUCH RAINFALL/FLLODS WHICH DSTROYED CROPS TOO MUCH RAINS TOO MUCH RAINS HENCE DESTROYING THE BEANS TOO MUCH RAINS LATELY TOO MUCH RAINS THAT FLOADED THE SWAMP WHERE RICE COULD GROW TOO MUCH SICKNESS AND BODY WEAKNESS TOO MUCH SUN AS WEL TOO MUCH SUN SHINE TOO MUCH SUN THIS MONTHS TOO MUCH SUN WHICH DESTROYED TOO MUCH SUN. RAIN CAME LATE BUT STOPPED. TOO MUCH SUNSHINE TOO MUCH SUNSHINE AND BAD RAINNY SEASON TOO MUCH SUNSHINE AND ILLNESS OF HOUSEHOLD HEAD TOO MUCH SUNSHINE AND THE CROPS ARE DRYING.THERE IS NO RAIN TOO MUCH SUNSHINE BURNT ALL THE CROPS TOO MUCH SUNSHINE DESTROYING THE GROUNDNUTS PEAS TOO MUCH SUNSHINE HENCE DRYING UP BEANS TOO MUCH SUNSHINE LAST YEAR TOO MUCH SUNSHINE THAT DAMAGED A LOT OF CROPS TOO MUCH SUNSHINE THAT DRIED ALL THE CASSAVA THAT WE PLANTED TOO MUCH SUNSHINE THAT HAS DAMAGED ALL THE PRODUCE TOO MUCH SUNSHINE UPTO APRIL THEN IN JULY TOO MUCH SUNSHINE WHICH DESTROYS CROPS TOO MUCH SUNSHINE WHICH HAS DSTROYED THE GROUNDNUTS, SIMSIM TOO MUCH SUNSHINE. CLIMATE NOT GOOD. TOO OLD TOO OLD AND SICK TOO OLD AND SICKNESS PROBLEMS TOO OLD AND THERE IS NO MONEY FOR FULL TREATMENT TOO OLD AND YET I DO ALOT OF WORK TOO OLD TO DIG,DEPEND ON MY CHILDREN TOWN COUNCIL SEIZED THE OPERATION OF HER BUSINESS TRADERS COME FROM DIFFERENT PLACES TO BUY FOOD TRADERS COME FROM DIFFERENT PLACES TO BUY FOOD HERE TREATING SICKNESSES UFAVOURABLE WEATHER ULCERS UNFAVORABLE CLIMATIC CONDITIONS UNFAVOURABLE CLIMATE UNFAVOURABLE CLIMATE BUT I HAD CULTIVATED MY LAND UNFAVOURABLE CLIMATE CONDITION IN THE AREA UNFAVOURABLE WEATHER CONDITION UNFAVOURABLE WEATHER CONDITIONS UNFERTILE LAND BECAUSE OF THE WEATHER UNFERTILE LAND,UNAVAILABILITY OF LAND TO FARM IN VERY OLD AND SICK DISABLED VERY POOR WAR WAS ILL COULD NOT CONCENTRATE ON AGRICULTURE WAS SICKLY WAT WE HAVE PLANTED IN THIS YEAR ARE NOT READY FOR CONSUMPTION WE ARE NOW GROWING OLD WE ARE NOW WEAK WE CONSUME BUT DID NOT MANAGE TO REPLANT WE HAD ALOT OF COMPETITION WE PLANTED LITTLE CASSAVA BECAUSE WE DID NOT HAVE ENOUGH MONEY WE WERE HIT BY HEAVY RAINS THAT DESTROYED OUR CROPS WEAK PHYSICALLY WEAKNESS DUE TO OLD AGE WEAKNESS DUE TO SICKNESS WEAKNESS IN BODY, DISEASE THAT LEAD TO HIGH EXPENDITURE WEATHER CHANGES WEATHER WAS NOT FAVOURABLE WENT TO LOOK FOR GREENER PASTURES WHAT WE HAVE IN THE GARDEN ARE STILL YOUNG WIFE IS SICK AND OLD WIFE WAS SICK FOR ONE MONTH AND EVENTUALLY DIED hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? 1522 2458 1 loss of productive household member (death) 2 loss of productive household member (leaving hh) 3 illness/injury of household member 4 loss of hhs own animals 5 loss of hhs own land or water resources 6 loss of access to land, water or other natural resources for production 7 loss of other productive assets (tools, machinery etc) 8 less income or loss of job 9 less income from animal husbandry, fishing or farming – lower volume of production 10 less income from animal husbandry, fishing or farming – higher costs or lower sales prices 11 less income from animal husbandry, - lower volume of sales 12 less income from other houseold business 13 increased number of dependents 14 large expenditure due to ill health or death of hh member (inc funeral) 15 large expenditure on social obligations 16 increased cost of food 17 increased cost of fuels, transport or other necessities 18 debt repayments 19 loss of aid (ex. ngo programme finishing) 97 other (specify) 98 Sysmiss hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? 2561 . A LOT OF RAIN THAT DETROYED OUR CROPS AGE AM ALONE IN THE HOUSE AM GETTING OLD ANIMALS DESTROYED CROPS ANIMALS DISEASES ASSETS REDUCING CONTINUOUSLY BAD ROAD BAD ROADS BAD ROADS TO THE MARKET BAD WEATHER THAT AFFECTED THE CROPS BANK TOOK OVER THE HOUSEHLD PROPERTY BIG FAMILY BODY WEAKNESS AND LESS LABOUR FOR CULTIVATION CANT AFFORD SEEDS CHANGE OF WEATHER AND OLD AGE COMPETITION INCREASED COSTLY RENTING LAND FOR FARMING CROPS ARE DYING IN GARDENS CULTIVATED BEANS TOGETHER WITH THE CASSAVA CULTIVATED LATE DEATH OF HIS SON WHO HAD MANY CHILDREN DEATH OF HUSBAND DEATH OF MY DAUGHTER DEATH OF PARENTS KIDS DEATH OF THE HUSBAND DECREASE IN MONEY VALUE. CANT MAKE ANY SAVINGS. DISEASE,WEAKNESS IN DIGGING DISEASES DIVORCE Y THE PARENTS DOMESYTIC ANIMALS DESTROYED THE CROPS DON'T KNOW DUE TO LACK OF ENOUGH LABOUR OXEN EDUCATION FARMING WITHOUT USING MACHINES IS TIRESOME FEES FERTILE SOIL FLOODS AFFECTED THE CROPS FLOODS AND LOSS OF LAND FLOODS WASHED AWAY THE CROPS GETTING OLD GETTING WEAK DAY BY DAY GOT THE BULLS FOR CULTIVATION BUT WHAT THEY CULTIVATED WAS AFFECTE GOVERNMENT HAS MADE THIS YEAR WORSE HEAD OF HHOLD HAD AN ACCIDENT HAMPERED THE NORMAL FUNCTIONING HEAD OF THE HOUSEHOLD DOES NOT WORK SINCE HE IS VERY OLD HIGH SCHOOL FEES BURDEN HIGH TAXES HOUSEHOLD HEAD IS VERY OLD AND CANT SUSTAIN THE BIG HOUSEHOLD HUNGER I AM SICK AND CANNOT CULTIVATE BECAUSE STOMACH IS SWOLLEN I DID NOT GET THE MONEY I WANTED I HAVE A LOT OF DEPENDANTS NOW. I HAVE M,ANY ORPHANS GRAND CHILDREN IMPRISONMENT OF MAIN INCOME EARNER(HUSBAND) INCREASE IN NUMBER OF SCHOOL GOING CHILDREN INCREASE IN THE NUMBER OF CHILDREN IN HIGH SCHOOLS INCRESE IN SCHOOL FEES FOR THE CHILDREN INFLATION INFLATION AND DEPENDENTS IT WAS A BAD SEASON WHERE PEST WHERE SO MANY LACK OF CAPITAL TO RE-INVENT IN THE LAND LACK OF ENOUGH LABOR/OXEN LACK OF FARMING MANPOWER LACK OF GARDENING TOOLS LACK OF LAND LACK OF LAND FOR THE FAMILY LACK OF LAND TO CULTIVATE LACK OF MAN POWER TO PRODUCE AGRICULTURAL PRODUCTS LACK OF MARKET FOR PRODUCE LACK OF PETTY JOBS LACK OF WHAT TO BE CULTIVATED LACKED WHAT TO DO AS A RESULT OF BEING ROBBED LAND FRAGMENTATION(DIDN'T GET LAND DURING DIVISION) LAND SHORTGAGE LAND WAS GIVEN FREELY BY ELDER BROTHERS LAST YEAR THEY WERE GIVEN FREE LAND UNLIKE THIS YEAR LESS FERTILE SOILS LESS LABOUR IN THE AGRICULTUR FIELD LOSS OF A JOB BY THE HOUSEHOLD HEAD LOW DEMAND LOW PRODUCTION, NO MACHINERY TO PRODUCE MOST OF THEM ARE REPEATING CLASSES MY HUSBAND LEFT ME WITH MY CHILDREN AND NATURE NATURE CAUSE NIFERTILE LAND LOW CAPITAL NO ABILITY TO GET RESOURCES FOR PRACTISING AGRICULTURE NO CAPITAL TO START ANY BUSINESS NO EDUCATION NO FARM LAND NO JOB AT ALL(CATTLE KEEPER) NO JOBS AT THE MOMENT NO LAND FOR AGRICULTURE NO LAND FOR CULTIVATION NO LAND FOR US TO FARM NO LAND TO CULTIVATE NO MONEY FOR US TO RENT LAND NO MONEY, NO RAINFALL NO ONE HAS A GOOD JOB TO EARN THEM MONEY FOR A LIVING IN THE HOUSE NO ONE TO HELP ME DIG MY GARDEN NO OXPLOUGH (POVERTY) NO PROPER RAINFALL NO RAINFALL NO SALES,NO BUSINESS OLD AGE OVER PRODUCTION OVER SUNSHINE PLANTED FEW CROPS THIS YEAR PLANTED LATE LEADING TO LOW PRODUCE POOR FARMING METHODS POOR SOILS DUE TO OVER CULTIVATION POOR TRANSPORT POOR YIELDS POOR YIELDS,DISEASES AND LACK OF MONEY POVERTY PRICE FRACTUATION PRICE OF COMMODITIES IS POOR RED ANTS ENTERED THE HOUSE ON TRYING TO BURN THEM I BURNT MY HOUSE SHE DID'NN PLAN WELL TO DO TIMELY PLANTING OF CROPS SHE WORKS ALONE SHORT OF LAND , LAND GRABING T LAST YEAR THE CHILD BURNT THE HSE THE FLOODS WASHED AWAY THE CROPPS THE FLOODS WASHED AWAY THE CROPS THE GARDEN IS NOW NOT PRODUCTIVE ENOUGH THE HOUSEHOLD MEMBER IS TOO OLD TO CULTIVATE THE SOIL IS EXHAUSTED THE STOCK GOT FINISHED THE SUNFLOWER WAS OF LOWER PRICES THE WEATHER AND INADEQUATE OF MONEY THEFT THEFT OF PROPERTY AND LIVESTOCK THEFTY THERE IS NO ENOUGH SECURITY IN THIS VILLAGE THERE WAS ALOT OF DEATH AND I HAD TO ATTEND TO THEM THERE WAS NOTHING TO CULTIVATE TOO MANY CHILDREN TO LOOK AFTER TOO OLD AND WEAK TO WORK AND EARN A LIVING UNFAVARABLE MARKETING UNFERTILE SOIL USED FOR MARRIAGE WATER FROM THE LAKE HAS FLOODED THE GARDEN. WATER FROM THE SWAMP DESTROYED THE CROPS WE HAVE SHORTAGE OF WATER FOR DRINKING WITCHCRAFT hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? 3898 . A HAVE BOUGHT A LAND AND STARED BUILDING A HOUSE A LOT OF FARM PRODUCE ARE REALIZED A YEAR AGO THERE WAS NOT ENOUGH TO EAT A YEAR AGO THERE WAS NOTHING TO EAT DUE TO LOW PRODUCTION A YEAR AGO WE HAD ILLNESS WE COULDNT FARM ABLE TO GET FOOD UNLIKE BEFORE ABLE TO GET GOOD HARVEST FROM AGRICULTURE ABLE TO HAVE A GOOD HARVEST ABLE TO MEET FAMILY DEMANDS ABLE TO MEET FAMILY NEEDS ABLE TO OBTAIN FOOD DUE TO AGRICULTURE THIS YEAR THAT IS O.K ADEQUATE FOOD AGRICULTURAL PRODUCTION IS HIGH THIS YEAR COMPARED TO LAST YEAR AGRICULTURAL PRODUCTION MUCH HIGHER, NO MAJOR SICKNESS AGRICULTURAL WERE SOLD AND THE MONEY BE USED TO MEET HH NEEDS AGRICULTURE AGRICULTURE HAS BOOSTED UP SO ABLE TO GET FOOD AGRICULTURE PRODUCTION IS HIGH AID FROM GOVERNMENT AM ABLE TO GET FOOD TO EAT AS THE HARVEST WAS GOOD BECAUSE OF GOOD WEATH AM BETTER BECAUSE MY HEALTH IS IMPROVED AND I CAN NOW DO SOME WORK AN INCREASE IN INCOME AT THIS YEAR I HAVE FOOD TO EAT COMPARED TO LAST YEAR ATLEAST THIS YEAR WE HAVE FOOD IN THE GARDEN ATLEAST WE HAVE ABETTER HARVEST THIS YEAR AVAILABILITY OF FOOD BECAUSE I'VE GOT ENOUGH HARVEST THAT HAS IMPROVED MY LIFE BEEN ABLE TO WORK ON HOUSEHOLD FARM BETTER ACCESS TO LAND OR OTHER NATURAL RESOURCES FOR PRODUCTION BETTER ACCESS TO LAND WATER RESOURCES BETTER ACCESS TO WATER AND OTHER NATRAL RESOURCES BETTER AGRICULTURAL HARVEST BETTER AGRICULTURAL PRODUCTION BETTER AGRICULTURAL PRODUCTS BETTER FOOD PRODUCTION BETTER HARVEST THIS YEAR BETTER HERVEST COMPARED TO LAST YEAR BETTER PAYING JOB BETTER PRODUCTION IN THE FIELD OF AGRICULTURE BETTER PRODUCTION OF MAIZE BETTER PRODUCTION YIELDS BETTER VOLUME OF AGRICULTURAL PRODUCTION BETTER YIELD BETTER YIELDS BOUGHT 3 GOATS AND 3 CHICKEN BOUGHT A COW BOUGHT LAND BOUGHT LIVESTOCK ,INCREASE IN AGRICULTURE BOUGHT LIVESTOCK AND FOOD PRODUCTS BOUGHT LIVESTOCK, INCREASE AGRICULTURAL INPUTS BUMPER HARVEST CAN AFORD BASIC NEEDS ATHOME CAN MAKE SAVINGS AND HAVE FOOD SECURITY CHILDREN HAVE BETTER HEALTH THIS YEAR COMPARED TO LAST YEAR,GOOD HARVEST CHILDREN HAVE FINISHED SCHOOL AND ARE HELPING ME CHILDREN SUPPORT HER WITH MONEY,AGRICULTURE PAYING SCHOOL FEES CROPS ARE DOING WELL THIS YEAR CROPS NOT HARVESTED BECAUSE IT WAS NOT READY THIS YEAR IT HAS BLOSSOMED CROPS WERE DESTROYED BY ANIMALS DAD GOT A BETTER PAYING JOB DOING AGRICULTURE AND FARMING DUE TO IMPROVED INCOMES FROM BUSINESS AND INVESTMENTS MADE ENOUGH FOOD ENOUGH FOOD IN THE HOUSE ENOUGH RAINS AND NO FOODS AS COMPARED TO LAST YEAR ESTABLISHED A BUSINESS SO AM ABLE TO EARN MONEY FAIR HARVEST FAIR HARVEST THIS YEAR AND RELIEF FROM WFP FARM PRODUCTS ARE BETTER THIS YEAR FARMING FARMING ACTIVITIES HAVE IMPROVED FAVORABLE CLIMATIC CONDITIONS. NO MAJOR SICKNESS. FAVOURABLE WEATHER HENCE GOOD HARVEST FERTILE SOIL FOR CROPS FOOD INCREASE IN OTHER HOUSEHOLDS FOOD IS AVAILABLE FOOD IS THERE IN PLENTY FOOD PRODUCTION IS THERE BUT LAST YEAR SHE WAS SICK THROUGHOUT GOATS AND COWS HAVE INCREASED IN NUMBER GOOD AGRICULTURAL PRODUCTION GOOD CLIMATE HAS MADE THE CROPS GROW HELP FROM GOVERNMENT GOOD FOOD YIELD THIS YEAR GOOD HARVEST GOOD HARVEST AMONG COMMUNITIES WHICH HAS RESULTED TO LOW COST OF FOOD GOOD HARVEST AND RELIEF PROVIDED BY WFP GOOD HARVEST FROM THE AGRICULTURAL PRODUCTS GOOD HARVEST HIGH CROP PRODUCTION GOOD HARVEST REPUTING FROM GOOD WEATHER GOOD HARVEST THIS YEAR GOOD HARVESTS GOOD HATVEST GOOD HERVEST GOOD RAIN HAVE BROUGHT GOOD HARVEST GOOD RAINS BROUGHT ABOUT GOOD HARVEST GOOD RAINS HENCE GOOD HERVEST GOOD SECURITY WHICH MADE THEM CULTIVATE GOOD WEATHER AND RAINS THAT HAVE MADE GOOD HARVEST GOOD WEATHER FAVOURABLE FOR FARMING GOOD YIELD FROM FARMING GOPOD WEATHER THIS YEAR HAS IMPROVED CROP YIELDING GOT ENOGH MONEY TO TAKE CARE OF MY FAMILY FROM MY BUSINESS HAD ALOT OF CROP YIELDS HAD BETTER HARVEST THIS YEAR HAS BOUGHT SOME CATTLE WHICH HAVE IMPROVED LIVING STDS HAVE BEEN WEAK THIS YEAR HAVE HARVESTED A LOT AND THIS YEAR THUS REDUCED HUNGER HAVE RECEIVED INCREASED INCOME FROM PRODUCES HAVING ENOUGH FOOD HE HAS CASSAVA PLANTATION WHICH HE USES AND SALE TO GET SOME MONEY HE OVERWORKED LAST YEAR AND IS NOW ONLY HARVESTING AND ENJOYING HEAVY RAINFALL GOOD FOR HER CROPS HGH PRODUCE E.G BEANS HIGH AGRICULTURAL OUTPUT HIGH AGRICULTURAL PRODUCE HIGH AGRICULTURAL PRODUCE EG BEANS,MILLET HIGH AGRICULTURAL PRODUCE E.G BEANS,MAIZE,CASSAVA,PEAS HIGH AGRICULTURAL PRODUCE EG BEANS,MAIZE,CASSAVA,POTATOES ETC HIGH AGRICULTURAL PRODUCE EG MAIZE HIGH AGRICULTURAL PRODUCT HIGH AGRICULTURAL PRODUCTION HIGH AGRICULTURAL PRODUCTS HIGH CROP PRODUCTION AMONG THE COMMUNITY MEMBERS HIGH FOOD PRODUCTION HIGH FOOD PRODUCTION OUT OF HIS CLTIVATED LAND HIGH LEVEL OF PRODUCTION HIGH PRODUCE HENCE GIVING ME MONEY/INCOME HIGH PRODUCE OF GROUNDNUTS AND BEANS HIGH PRODUCTION FROM THE FARM BECAUSE OF GOOD WEATHER HIGH PRODUCTION OF AGRICULTURAL FIELDS HIGH PRODUCTION OF AGRICULTURAL PRODUCE EG CASSAVA AND BEANS HIGH PRODUCTION OF GROUNDNUTS HIGH PRODUCTION OF MAIZE HIGH VOLUME OF AGRICULTURAL PRODUCE HIGH VOLUME OF PRODUCTION HIGH YIELDS HIGH YIELDS AND ACQUIRED LIVESTOCK HIGH YIELDS DUE TO RAIN HIGHER AGRICULTURAL OUT PUT HIGHER AGRICULTURAL OUTPUT HIGHER AGRICULTURAL PRODUCE HIGHER AGRICULTURAL PRODUCE ESPECIALLY BEANS HIGHER AGRICULTURAL PRODUCTION HIGHER AGRICULTURAL PRODUCTION EG BEANS HIGHER AGRICULTURAL PRODUCTION EG GROUNGNUTS HIGHER AGRICULTURAL PRODUCTION EG MAIZE HIGHER CROP PRODUCTION HENCE MORE INCOME. HIGHER CROP YIELDS FROM HOUSEHOLDS HIGHER PRODUCTION HIGHER PRODUCTION OF AGRICULTURAL PRODUCE HIGHER PRODUCTION OF AGRICULTURAL PRODUCE E.G MAIZE HIGHER PRODUCTION OR INCREASE IN AGRICULTURAL PRICE HIGHER PRODUCTION THIS YEAR HIGHER YIELDS HIS CROPS ARE DOING WELL NOT LIKE LAST SEASON WHEN THE SUN WAS TOO MUCH HOUSE HOLD MEMBER GOT A JOB WITH BETTER PAY HUNGER WAS THE PROBLEM LAST YEAR I AM ABLE TO GO TO WORK ON PEOPLE'S FARM DAILY I AM BUILDING A NEW HOUSE AND I HAVE BOUGHT LAND I AM IN A POSITION TO MEET THE HH NEEDS THROUGH GOVERNMENT I BUILT A HOUSE MYSELF I CAN MANAGE TOM FIND FOOD EASILY THIS TIME I DID A GOOD HARVEST I DID ALOT OF PLANTING THIS YEAR I DO FARMING WHICH GIVE ME YIELDS I DON'T PAY RENT HENCE REDUCED ACCOMODATION EXPENSES I DONT BUY FOOD THIS YEAR FROM THE MARKET I GOT MORE HARVEST I GOT OVER THE DEATH OF MY HUSBAND WHO DIED LAST YEAR I HAD A GOOD CASSAVA PRODUCE THAT YEAR I HARVESTED ENOUGH FOOD I HAVE ALOT OF PRODUCTION FROM AGRICULTURE I HAVE BEEN ABLE TO CONSTRUCT A NEW HOUSE THIS YEAR I HAVE BOUGHT MORE LAND I HAVE ENOUGH BEANS AND CASSAVA AND MAIZE I HAVE IMPROVED ABIT ATLEAST I CAN DIG IN MY FARM. HAVE ALSO HARVESTED I HAVE JUST BUILT THAT NEW HOME I HAVE LOT OF FOOD LIKE BEANS ,GROUNDNUTS I HAVE MANAGED TO RARE CHICKEN AND PIGS I HAVE PLANTED CROPS UNLIKE LAST YR I HAVE SOME MONEY FOR FEES AND OTHER FOODS I HOD GOOD YIELDS THIS YEAR I MANAGED TO RENT A FARM TO CULTIVATE AND EARN A LIVING I MANAGED TO BUY NEW IRON SHEETS AND COMPLETED MY HOUSE I PLANTED SOME SIMSIM BUT LAST YEAR I DIDNT CULTIVATE ANYTHING I SOLD MY COW AND BOUGHT LAND I WAS ABLE TO CULTIVATE THIS YEAR AS COMPARED TO LAST YEAR DUE TO ILLNES I WAS ABLE TO HARVEST ATLEAST TWO BASINS OF BEANS COMPARED TO LAST YEAR I WAS ABLE TO HARVEST SOME GOOD CROPS THIS YEAR I WAS SOO SICK LAST YEAR IMPROVED HARVEST IMPROVED HERVEST IMPROVED INCOME AND INCREASE IN HOUSEHOLD ASSETS AND INCRESED PRODUCTION IMPROVED ON WORKING IMPROVEMENT IN CULTIVATION INCREASE FOOD PRODUCTION INCREASE IN AGRICULTURAL PRODUCE INCREASE IN AGRICULTURAL PRODUCT INCREASE IN AGRICULTURAL PRODUCTION INCREASE IN CROP PRODUCTION INCREASE IN FARM PRODUCTION INCREASE IN FOOD PRODUCTION INCREASE IN INCOME INCREASE IN INCOME AS HE IS ABLE TO PAY HOUSEHOLD NEEDS INCREASE IN NUMBER OF QUALITY LABOUR INCREASE IN PRODUCTION INCREASE IN PRODUCTION AGRICULTURE INCREASE IN PRODUCTION IN FARMING INCREASE IN PRODUCTION,SHE WAS SICK,GOT HELP FROM NGO INCREASE IN YIELDS AND ANIMALS INCREASE INCOME FROM AGRICULTURAL PRODUCTION INCREASE INCOME FROM ANIMAL HUSBANDRY AND FISHING INCREASE INCOME FROM HOUSEHOLD BUSINESS INCREASE MAIZE AND PUMKIN PRODUCTION INCREASE NUMBER OF ANIMALS BOUGHT INCREASE OF ANIMAL IN THE HHOLD INCREASE OF PRODUCE BECAUSE OF NAADS INCREASE PRODUCTION INCREASE PROFITS OF HUSBANDS BUSINESS INCREASED AGRICULTURE AND CHILDREN EDUCATION INCREASED FARM PRODUCE INCREASED FOOD PRODUCTION INCREASED HARVEST INCREASED IN ANIMALS OWNED INCREASED IN NUMBER OF ANIMALS AND ALSO AGRCULTURAL PRODUCTS INCREASED INCOME DUE TO PEURCHASE OF LIVESTOCK INCREASED INCOME FROM AGRICULTURAL PRODUCE INCREASED INCOME FROM ANIMAL HUSBADRY,FISH FARMING INCREASED INCOME FROM FARMING INCREASED INCOME FROM HOUSE HOLD BUSINESS INCREASED INCOME FROM THE GOAT SOLD INCREASED LABOUR INCREASED LABOUR THE GIRLS ARE AT HOME INCREASED ON MY NICOME INCREASED SALES IN BUSINESS INCRESED FOOD PRODUCTIONFROM HOUSEHOLD IT IS BETTER BECAUSE SHE IS A MEMBER OF NAADS IT RAINS AND THIS HAS MADE THE CROPS TO YIELD VERY WELL ITS A RAINY SEASON AND THERES ALOT OF VEGETABLES ITS TIME FOR HERVEST AND LITTLE FOODD TO FEED ON LAST YEAR FLOODS DESTROYED CROPS BUT THIS YEAR I HARVESTED ENOUGH LAST YEAR I GOT ONLY 1 BASIN OF BEANS THIS YEAR I GOT 1 SACK LAST YEAR THERE WAS NO FOOD AND COULD GO HUNGRY THE WHOLE DAY LAST YEAR THERE WAS NO FOOO LAST YEAR THERE WERE PEOPLE WHO OFFERED HELP LAST YEAR WE LOST SO MANY OF OUR RELATIVES LESS HOUSEHOLD EXPENDITURE SO REDUCED DEPENDENCY BURDEN LITTLE SORGHUM HARVEST THIS YEAR LOOKED FOR OTHER SOURCES OF INCOME TO GET MONEY LOT OF RETURNS FROM AGRICULTURAL OUTPUT MANAGED TO TAKE MY KIDS TO SCHOOL MORE ANIMALS, PROPER HARVEST MORE HARVEST AND GREEN VEGETABLES MORE INCOME FROM FARMING ENABLED HIM BUY A COW MORE INCOME GOT IN THE HOUSEHLD MORE MONEY INLFOW FROM HOUSEHOLD BUSINESS MORE PRODUCE FROM FARM MORE WAGE EMPLOYMENT IN THE AREA DUE TO BUMPER HARVEST MOST OF MY TIME IS SPENT DIGGING SO HAVE ENOUGH FOOD MUCH MORE YIELD FROM THE FARM PRODUCE MUCH PRODUCTION HENCE ALOT OF SALE MY BROTHER HAS GIVEN ME IRON SHEETS AND I HAVE STARTED BUILDING MY CROPS HAD SOME GOOD YIELD AND I RENTED A GOOD PIECEOF LAND MY HOUSEHOLD MEMBERS ARE NOW HEALTHY NEW HOUSE, NEW CHAIRS AND FOOD IN PLENTY NO LONGER BUYING FOOD NO SICKNESS,GOOD HARVEST NUSAP,NAADJ,DISTRICT LEVEL SUPPORT ONE MEMBER FELL SICK HENCE REDUCING THE MAN POWER PLANTED FOOD PRODUCTION THAT MAKES HIM BETTER OFF THAN LAST YEAR PLANTED MAIZE AND IT HAS HELPED ME A LOT. I SELL MAIZE AND BUY MEDICIN PRODUCE ENOUGH FOOD AND SOLD SOME PROPER YIELD OF CROPS,GOOD HARVEST FROM FISHING PURCHASE / INVESTMENT IN OTHER PRODUCTIVE ASSET RECEIVED AN AID AND BOUGHT SAM ANIMALS REDUCED COST OF ITEMS LIKE FOOD COMPARED TO A YEAR AGO RELIEF GIVEN BY SAMARITAN SPARS (NGO) RELIEF GIVEN TO THEM SHE HAD ENOUGH FOOD COMPARED TO WHEN SHE LOST THE HUSBAND SHE IS GETTING BETTER AFTER OPERATION SHE IS HEALTHIER COMPARED TO A YEAR AGO CAN CULTIVATE ON HER OWN SHE WAS AQUIRING SAM BILLS TO HELP HER WITH FARM WORK SOLD GOATS AND PIGS SOME BETTER HARVEST THIS YEAR AND RELIEF SOME FOOD IS AVAILABLE FROM THE RECENT HARVEST SOME INCREASE IN INCOME FROM BUSINESS SOME LITTLE SORGHUM HAS BEEN HARVESTED THIS YEAR SOME MONEY IS REALISED FROM MY HUSBANDS BUSINESS SOME RELIEF GOT FROM THE NGO's SPENDS LESS ON MEDICAL CARE AND FOOD SINCE MUM LEFT TO VISIT MY SISTER STARTED A BUSINESS THAT RAISED THE INOME OF OUR HOUSEHOLD STARTED FISHING,LARGE SCALE FARMING,KEEPING LIVESTOCK STUDYING CHILDREN, PRODUCTIVE RENTAL LAND SUPPORT FROM MY SON AS I RECOVER FROM SLEEPING SICKNESS SUPPORT FROM THE DAUGHTERS AND RELIEF THE AGRICULTURAL PRODUCTION HAS INCREASED AS THIS THIS HAS RESULTED THE BOXES HE MAKES ARE BOUGHT SO FAST THE BUSINESS MAKES ALOT OF INCOME THE CROPS ARE DOING WELL IN THE GARDEN THE CROPS HAVE DONE MUCH BETTER THIS YEAR THE FOOD IS PROVIDED BY THE NCIOS(SAMARITAN'S PURSE) THE GOOD HERVEST THE H/HEAD GOT A JOB THE HARVEST HAS BEEN A LITTLE BETTER THIS YEAR COMPARED WITH LAST YEAR THE HARVEST HAS BEEN GOOD THE HARVEST HAS BEEN GOOD THIS YEAR COMPARED TO A YEAR AGO THE HARVEST HAS BEEN MUCH BETTER THIS YEAR THE HARVEST IS MUCH BETTER THE HARVEST IS MUCH BETTER THAN LAST YEAR THE HARVEST OF THIS YEAR WAS BETTER THAN A YEAR AGO THE HARVEST THIS YEAR HAS BEEN FAR BETTER THAN LAST YEAR THE HARVEST THIS YEAR HAS BEEN BETTER THAN LAST YEAR THE HARVEST THIS YEAR HAS BEEN GOOD COMPARED TO LAST YEAR THE HARVEST WAS A LITLE BETTER OFF COMPARED TO LAST YEAR THE HARVEST WAS BETTER COMPARED TO LAST YEAR THE HARVEST WAS BETTER THAN LAST YEAR THE HARVEST WAS GOOD GOT LOTS OF GROUNDNUTS THE HARVEST WAS MUCH BETTER THAN LAST YEAR THE HARVEST WAS POOR A YEAR AGO COMPARED TO THIS YEAR THE HERVEST IS BETTER THAN LAST YR THE HHOLD HAS INCOME TO MEET THE NEEDS THE HOUSE IS DOING BETTER INTERMS OF EDUCATION AND CROP PRODUCTION THE RAIN S HAVE BEEN ENOUGH WHICH FAVOURED A GOOD HARVEST THE RAINY SEASON THERE IS FOOD OR VARIOUS VEGETABLES TO FEED ON THE SEASON HAS BEEN PRODUCTIVE THE TOTAL LABOR HAS INCREASED THUS HIGH QUALITY THERE ARE ANIMALS AND ENOUGH WATER TO DRINK THERE HAS BEEN ALOT OF BEANS THERE HAS BEEN ALOT OF YIELD FROM THE FARM AND GOT ENOUGH TO SELL THERE HAS BEEN GOOD HARVEST AMONG PEOPLE THERE IS ACCESS TO FOOD DOR EATING COMPARED TO LAST YEAR THERE IS ACCESS TO FOOD THIS YEAR THERE IS ALOT OF FOOD IN THE FARMS THERE IS ALOT OF PRODUCTION IN TERMS OF FOOD THERE IS ATLEAST SOME HERVEST THERE IS BETTER HARVEST THERE IS BETTER HARVEST THIS YAER THERE IS BETTER HARVEST THIS YEAR THERE IS ENOUGH FOOD FOR THE FAMILY THIS YEAR THERE IS ENOUGH RAIN WHICH WILL LEAD TO GOOD HARVEST THERE IS FOOD AT HOME COMPARED TO LAST YR THERE IS GOOD HARVEST THIS YEAR THERE IS GOOG YIELD THERE IS HIGH FOOD PRODUCTION REALIZED THERE IS HOGH PRODUCTIVITY FROM THE GARDEN THERE IS IMPROVED HARVEST COMPARED TO LAST YEAR THERE IS LITTLE HARVEST THERE IS SAME HARVEST YHIS YEAR THERE IS SAME LITTLE HARVES THERE IS SOME FOOD IN THE GARDEN THERE IS SOME FOOD/GREEN VEGETABLES THERE IS SOME LITTLE FOOD HARVESTED THERE IS SOME LITTLE HARVEST THERE IS SOME LITTLE SORGHUM HARVESTED THERE WAS ENOUGH FOOD PRODUCED FROM THE GARDENS THERE WAS NO BUSINESS (BREWING )LAST YEAR AND HUNGER WAS SEVERE THEREM IS SOME LITTLE SORGHUM HARVESTED THIS YEAR THERES SOME FOOD DONATION RECEIVED THEY BROUGHT MORE AID PROJECTS IN THE AREA THEY NOW HAVE LAND THIS IS GOOD RAINS TO PLANT THIS WE CULTIVATD BIG LAND, BOUGHT PIGS, AND POULTRY THIS YEAR ATLEAST SHE MANAGED TO PLANT SOME CROPS THIS YEAR IS GOOD COMPARED TO LAST YEAR WHEN WE'RE AFFECTED BY FLOODS THIS YEAR ITS ALITTEL BETTER BECAUSE SOME SOGHUM HAS BEEN HARVESTED THIS YEAR NAADS GAVE ME GROUNDNUTS SEEDS TO PLANT & TWO HOES FOR FARMING THIS YEAR SHE GOT RELIEF FOOD FROM NGOS THIS YEAR THE HEALTH OF FAMILY MEMBERS HAS IMPROVED THIS YEAR THERE IS FOOD TO EAT THIS YEAR THERE IS SOME AID THIS YEAR THERE IS SOME FOOD FROM FARMING THIS YEAR WILL BE BETTER BECAUSE I PLANTED SUNFLOWER WAS ABLE TO GET GOOD HARVEST WE DONT BUY FOOD COMPARED TO LAST YEAR WE ENGAGE IN JOBS THAT EARN THEM SOME INCOME WE HAVE A GENERATOR AND TWO VEHICLES WE HAVE ALOT OF CROPS IN THE GARDENS AND THEY ARE DOING WELL WE HAVE GOOD HARVEST THIS YEAR WE HAVE GOTTEN A LOT FROM THE HARVEST WE HAVE GROWN ALOT OF FOOD WE HAVE HARVESTED ALOT OF GROUNDNUTS WE HAVE LIVESTOKE THATS WHY LIFE IS BETTER WE HAVE MANAGED TO AQUIRE SOME ANIMALS WE HAVE SOME FOOD TO EAT WE NOW HAVE WHAT TO EAT COMPARED TO LAST YEAR WE PLANTED ALOT OF CASSAVA AND EVEN SIMSIM FOR THE MEMBERS OF THE HOUSE WE PROPDUCED ENOUGH FROM THE GARDEN TO SELL WE ROOFED OUR HOUSE WE USED TO RENT AND BUY FOOD ITEMS BUT NOW WE GET FROM OUR OWN GARDEN WEMEN HAS HELPED ME IN TRAINING VARIOUS INVESTMENTS WORKING HARDER THAN LAST YEAR hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? 484 3496 1 increase in number or quality of labour (hh members) 2 increase in animals owned 3 increase in hhs own land or water resources 4 better access to land, water or other natural resources for production 5 purchase/investment in other productive assets 6 hh member got a (better) job / better paid 7 increaed income from animal husbandry, fishing or farming – higher production 8 increased income form animal husbandry, fishing or farming – lower input cost, higher sales prices 9 increased income from household business 10 aid project (ex. new ngo programme) 11 lower food costs 12 lower other living costs 13 decreased number of dependents 14 more support from remittances / other households 15 more support form formal aid (gov’t, ngo, religious) 16 sage programme transfers 97 other (specify) 98 dk/na Sysmiss hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? 3486 . A YEAR AGO CROPS WERE DESTROYED BY PEST ALOT FOOD PRODUCTION THIS YR AVAILABILITY OF FOOD DUE TO FAVOURABLE CONDITIONS BUILT A HOUSE ENOUGH FOOD TO EAT FAIR RAINNY CLIMATE SEASON THIS YEAR GOOD RAINS GRAND SON OFFERS FINANCIAL SUPPORT HAVE MANAGED TO COMPLETE MY HOUSE AND MAKE IT BETTER HAVING SUFFICIENT INCOME TO MEET THE HOUSEHOLD NEEDS HIGH YIELDS I HAVE ACQUIRED MORE HOUSEHOLD ITEMS I HAVE BUILT MY OWN HOUSE I HAVE PLANTED TEA THIS YEAR I LIVE IN A ABETTER HOUSE KNOW I MANAGED TO BUILD T ANEW HOME I USED TO EAT ONE MEAL A DAY BUT NOW I CAN AFFORD TWO MEALS INCREASE AGRICULTURAL PRODUCTION, SOLD CROPS AND BOUGHT ANIMALS LACK OF COOPERATION BETWEEN PARENTS AND CHILDREN LAST YEAR THERE WAS FAMINE MY CHILDREN TAKE CARE OF ME VERY WELL NOWADAYS I TRY AND SAVE SOME MONEY RAINFALL,PROPER CROP YIELDS REDUCES ILNESS AND ILLNESS,INCREASE IN AGRICULTURAL LABOUR REDUCTION ON THE ILLNESS AND SICKNESS OF TB THE HHOLD HAS SUFFICIENT MONEY TO MEET THEIR NEED THE SICK CHILD MENTALLY RETARDED IS GETTING BETTER THERE HAS BEEN A RELIABLE RAINFALL THAT FAVOURED CROPS THERE HAS BEEN A RELIABLE RAINFALL THROUGH OUT THERE HAS BEEN RAIN FALL THROUGHOUT THE YEAR THUS ENOUGH FOOD THERE IS ENOUGH FOOD STAFF THERE IS ENOUGH FOOD STAFF IN TH ESTUFF THERE IS ENOUGH FOOD STUFF THERE IS SAME FOODLIKE GREEN VEGETABLE THIS YEARS THERE IS SECURITY THERE IS SOMETHING TO EAT FOR THE FAMILY THIS YEAR HH MEMMBER 02 IS NOT VERY SICK LIKE LAST YEAR THIS YEAR MY COWS WERE STOLEN WE HAVENT FALLEN SICK SO MUCH hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? 3827 . A GOOD CLIMATE AND HARD WORK ABANDUNT RAINFALL ABUNDANT RAINFALL ADEQUATE RAIN ADEQUATE RAINFALL ADEQUATE RAINS ADOPTION OF MODERN FARMING METHODS ADVERSE CLIMATE ADVERSE CLIMATIC CONDITION ADVERSE CLIMATIC CONDITIONS AID FROM INTER RELIGIOUS COUNCIL OF UGANDA, GOOD CLIMATE AID PROJECTS AVAILABLE IN THE AREA ALOT OF RAIN ALOT OF RAINFALL AMPLE RAIN AMPLE RAINFALL AMPLE RAINS AVAILABILITY OF ENOUGH RAINFALL AVAILABILITY OF NGOS IN MOROTO AND FAVOURABLE CLIMATE AVAILABILITY OF PROJECTS IN THE AREA AVAILABILITY OF RAINFALL AVAILABILITY OF RESOURCES AVAILABILITY OF RESOURSES TO START BREWING AVAILABILTY OF RAINFALL AVAILABLE RAINFAL THIS AGRICULTURAL SEASON AVAILABLE RAINFALL AVALIABILITY OF RAIN THIS YEAR BECAUSE OF ENOUGH RAIN THIS SEASON BECAUSE OF THE RAINS BEING A RAINNY SEASON I ENGAGE IN AGRICULTURE TO MEET MY BASIC NEEDS BENEFICIAL CLIMATE BENEFICIAL CLIMATATIC CONDITION BENEFICIAL CLIMATE BENEFICIAL CLIMATIC CONDITION BENEFICIAL CLIMATIC CONDITIONS BETTER CLIMATE BETTER CLIMATIC CONDITIONS BETTER RAINS BETTER RAINS THAN LAST YEAR BETTER RAINS THUS BETTER PRODUCTION CHANGE IN LIFE CIRCUMSTANCE CHANGE IN LIFE CIRCUMSTANCES CHANGE IN MY LIFE SITUATION CHILDREN HAVE WELL PAYING JOBS CLIMASTIC CONDITION IS FAVOURABLE CLIMATE CLIMATE HAS BEEN GOOD AND THERE WERE NO PESTS CLIMATE HAS NOT BEEN SO BAD CLIMATE IS FAIR THIS YEAR COMMERCIAL BUILDING BRINGING INCOME (INVESTMENT) CONFLICT WITH NEIGHBOURS DEALING WITH DIFFERENT PEOPLE AND JOBS DID NOT CULTIVATE ENOUGH ACRES OF LAND DUE TO GOOD CLIMATIC CONDITION DUE TO GOOD RAINFALL DUE TO INCREASE IN MORE LAND TO CULTIVATE ENOUGH LAND AND MORE TRADING ACTIVITIES LIKE FISHING ENOUGH LAND TO CULTIVATE ENOUGH MARKET ENOUGH RAIN ENOUGH RAINFALL ENOUGH RAINFALL FOR OUR CROPS ENOUGH RAINS ENOUGH RAINS THAT ENABLE ME GET GOOD HARVEST FAVORABLE CLIMATE FAVORABLE CLIMATIC CONDITION FAVORABLE CLIMATIC CONDITIONS FAVORABLE RAINFALL LEVELS FAVORABLE RAINS IN 2012 FAVOURABLE FAVOURABLE CLIMATE FAVOURABLE CLIMATE CONDITION FAVOURABLE CLIMATE I.E ENOUGH RAIN FAVOURABLE CLIMATIC CONDITION FAVOURABLE CLIMATIC CONDITIONS FAVOURABLE CONDITION FAVOURABLE RAINFALL FAVOURABLE RAINS FAVOURABLE SEASON AND CLIMATIC CONDITIONS GAIN MUCH KNOWLEDGE ON AGRICULTURE GOOD AND AMPLE RAINS GOOD CLIMATE GOOD CLIMATE AMPLE RAINS AND MINIMAL SUNSHINE GOOD CLIMATE AND PREFERENCE OF NGO IN THE DISTRICT GOOD CLIMATE BALANCED RAIN/SUN GOOD CLIMATE HAS ENABLED BETTER HARVEST GOOD CLIMATE THIS TIME GOOD CLIMATE WEATHER GOOD CLIMATE/RAINFALL GOOD CLIMATIC CHANGE GOOD CLIMATIC CONDITION GOOD CLIMATIC CONDITION , ENOUGH RAINFALL GOOD CLIMATIC CONDITIONS GOOD HARVEST GOOD HARVEST (CLIMATE) GOOD HEALTH;GOOD CLIMATE;FAVOURABLE RAINFALL GOOD HERVEST GOOD RAINS GOOD SEASON GOOD WEATHER GOOD WEATHER AND MORE INCOME FROM HOUSEHOLD MEMBERS GOOD WEATHER RAINS GOOD WEATHER THAT WAS FAVOURABLE FOR AGRICULTURAL PRODUCTION GOOD YIELD GOOD YIELDS GOOD YIELDS AND CHILDREN GOT JOBS GOOD YIELDS DUE TO GOOD CLIMATE GOT MONEY FROM FARM PRODUCE AND ANIMALS HAD MORE TIME TO CONCENTRATE IN AGRICULTURE HARD WORK HARD WORK AND GOOD CLIMATE HARD WORK OF FAMILY MEMBERS HAVE ENOUGH LABOUR HEAVY DOWN POUR HEAVY RAINFALL HHERE IS ENOUGH RAIN THIS YEAR HIGH CROP BECAUSE OF GOOD CLIMATE HIGH CROP CULTIVATION DUE TO GOOD CLIMATE HIGH ENOUGH RAINFALL HIGH INCOMES EARNED HIGH RAINFALL HIGHER RAINFALL HOUSE HLD HEAD GOT A JOB HUSBAND STARTED WORKING I ACQUIRES KNOWLEDGE ON CROP HUSBANDRY I AM NOT ILL THIS YEAR ROUND I GOT BANANA SEEDLINGS FROM NAADS I HAD TO REDUCE MY EXPENDITURES I HAVE BEEN SELLING MY TEA AND OTHER CROPS TO GET MONEY I HAVE STARTED WORKING AS A BUILDER I PLANTED EARLY AND THE RAINS WERE FAVOURABLE I PLANTED IN TIME THIS YEAR I RECEIVED TREATMENT FROM HOSPITAL INCREASE IN CAPITAL FROM HOUSE HOLD LIVESTOCK INCREASE IN FARM PRODUCTION INCREASE IN HHOLD MEMBERS INCREASE IN INCOME INCREASE IN YIELDS OF CROPS INCREASED MARKET FOR LIVESTOCK INCREASED MARKET IN OUR5 AREA INCREASED RAINFALL INREASE IN HOUSEHOLD LABOUR AND GOOD CLIMATE IT HAS BEEN A GOOD SEASON FOR FOOD PRODUCTION IT HAS BEEN RAINING AND HE MADE PLENTY OF PUMPKIN IT RAINED THIS SEASON ITS RAINY NOT LIKE LAST YEAR WHEN IT WAS TOO SUNNY LAW RATE OF CONFLICT HAS BOUGHT BLESSING OF ENOUGH RAIN LIFE BECAME BETTER SINCE BUILDING A NEW HSE LOTS OF RAINFALL MANY OF THEM ARE MARRIED AND PROVIDE SUPPORT MANY PEOPLE COME FROM OTHER PLACES AND PROVIDE MARKET FOR THE PRODUC MARKET FOR MY PRODUCE MARKET FOR OU CROPS MARKET FOR OUR PRODUCE MARKET FOR PRODUCES MODERATE RAINFALL MORE CULTIVATED LAND AND ENOUGH RAIN MORE HARVEST DUE TO GOOD RAINS MORE TRADING IN THE AREA MORE TRADING OPPORTUNITIES MUM LEAVING HOME NAADS PROJECT WHICH GEVE SEEDS TO GROW NO RAIN FOER THE WHOLE YEAR NO WEEDS,RAIN OLD AGE PEACE HAS BEEN PROMOTED IN THE AREA POWER AND ENERGY PRECENCE OF RAINS PRESENCE OF NGO IN THE AREA PRESENCE OF NGO`S IN THE COMMUNITY PROPER RAINFALL RAIN HAS BEEN ENOUGH THAN AYEAR AGO RAIN IS ENOUGH RAIN IS ENOUGH FOR CULTIVATION RAINFALL RAINFALL HAS BEEN THERE RAINFALL IS ENOUGH RAINFALL WAS ENOUGH RECEIVED AN AID FROM THE GOVT RELIABLE RAIN RELIANCE ON NG'OS (RELIEF AID) RELIEF FOOD RENTED OUT OUR LAND TO GET MONEY TO ROOF OUR HOUSE SEASON HAS BEEN ABIT GOOD SELLING MORE FARM PRODUCE SEPARATED WITH THE HUSBAND AND HAS COME BACK HOME SICKNESS SICKNESS AND OLD AGE SOLD COFFEE AS WELL AS OTHER COMPLIMENTARY SOURCES SOLD FOOD AND GOT SOME MONEY SOLD OFF MY COFFEE AND BOUGHT THEM SOLD SOME FARM ANIMALS TO BUY SUNFLOWER SEEDS SOLD SOME PRODUCE AND GOT MONEY TO BUY ANIMALS SUITABLE AND RELIABLE WEATHER CONDITIONS SUITABLE RAIN THE BUSINESS HAS GROWN BIG THE BUSINESS IS BRINGING GOOD MONEY THE CHILD IS NOW DOING WELL THE CLIMATE HAS BEEN GOOD THE CLIMATE RAINS WAS GOOD THE CLIMATE WAS GOOD THE CONFLICT HAS BN STABILISED THE H/HEAD IS NOW EMPLOYED THE HH MEMBER 2 IS DOING SAME BUSINESS TO BUY DRUGS THE NEW NGO'S PROVIDING FOOD HAVE SOME THE RAIN COME EARLY AND WE PLANTED EARLY THE RAIN HAS BEEN GOOD FOR AGRICULTURE WORK THE RAIN WAS FAVOURABLE FOR CROPS TO GROW THE RAINFALL HAS BEEN FAIR THE RAINS CAME IN EARLY AND IT WAS ENOUGH TO GROW THE CROPS THE RAINS FAVOURED THE CROPS GROWN THE RAINS HAVE BEEN FAVOURABLE THE RAINS HAVE BEEN FAVOURABLE FOR AGRICULTURE THE RAINS HAVE BEEN GOOD WHICH FAVOURED THE SEEDS FOR GROWING THE RAINS HAVE BROUGHT FOOD THE RAINS WERE ADEQUATE THE RAINS WERE CONSISTENT AND HAD ACCESS TO OXEN THE RAINS WERE EARLY THE RAINS WERE ENOUGH FOR THE CROPS THE RAINS WERE FAVOURABLE THE RAINS WERE FAVOYRABLE THE RAINS WERE GOODAND FAVOURABLE THE RAINS WERE JUST ENOUGH FOR THE CROPS TO GROW WELL THE RAINS WERE NOT ENOUGH FOR THE CROPS THE SEASON WAS GOOD THE SUN DINN'T DESTROY THE CROPS THE SUNSHINE WAS TOO MUCH THE WEATHER HAS BEEN FAVOURABLE FOR CULTIVATION THE WEATHER NOW FAVOURS GROWTH OF CROPS THE WEATHER WAS FAVOURABLE FOR THE GOOD AGRICULTURAL PRODUCTION THE WEATHER WAS GOOD THE WEATHER WAS GOOD THIS YEAR THOUGH IT HAS CHANGED THE WEATHER WAS NOT BAD THERE HAS BEEN ALOT OF LABOUR THERE ARE GRASSES FOR THEM TO EAT THERE HAS BEEN A LOT OF RAINFALL THERE HAS BEEN ENOUGH RAIN THIS YEAR THERE HAS BEEN MORE INVESTMENT WHICH YIELD MORE INCOME FOR THE HH THERE HAS BEEN SERIOUS WATER DOWN POUR THERE IS ENOUGH RAIN THERE IS ENOUGH RAIN FOR CULTIVATION THERE IS ENOUGH RAIN IN THE YEAR THERE IS ENOUGH RAIN THIS YEAR THERE IS INCREASED TRADING IN THE AREA THERE IS RAIN THERE IS RAIN THIS YEAR THERE IS READY MARKET THERE WAS ALOT OF RAIN FOR FARMING THERE WAS ALOT OF RAINFALL THERE WAS ALOT OF RAINFALL FROM APRIL SO PLANTED ENOUGH CROPS THERE WAS ENOUGH RAIN THERE WAS NO RAIN THEY GOT A LOAN AND THE WEATHER WAS FAVOURABLE THROUGH AGRICULTURAL PRODUCTION TO MUCH RAINFALL TOO MUCH RAINFALL HENCE LEADING TO HIGH YIELDS TSETSE FLY UNITING WITH THE CHILDREN AND WORKING HARD USED FERTILISER,RENTED LAND,SOLD THE PRODUCE USED THE LITTLE SAVINGS WISELY AND BOUGHT A MOPTOR CYCLE WAS ABLE TO SELL MY LIVESTOCK AT A GOOD PRICE WE HAVE MARKET IN OUR AREA NOW WEATHER HAS BEEN GOOD WORKING ALITTLE BIT HARDER WORKING ON SEVERAL JOBS FOR DIFFERENT JOBS hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? 481 3499 1 increase in number or quality of labour (hh members) 2 increase in animals owned 3 increase in hhs own land or water resources 4 better access to land, water or other natural resources for production 5 purchase/investment in other productive assets 6 hh member got a (better) job / better paid 7 increaed income from animal husbandry, fishing or farming – higher production 8 increased income form animal husbandry, fishing or farming – lower input cost, higher sales prices 9 increased income from household business 10 aid project (ex. new ngo programme) 11 lower food costs 12 lower other living costs 13 decreased number of dependents 14 more support from remittances / other households 15 more support form formal aid (gov’t, ngo, religious) 16 sage programme transfers 17 97 other (specify) 98 Sysmiss hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? 3494 . ABLE TO BUDGET DUE TO NO DEPENDENT BETTER/GOOD SOIL BOUGHT ANIMALS (COWS) FOR DIGGING MAKING IT EASY AND QUICK CULTIVATED USING AN OXPLOUGH HANCE CULTIVATED A LOT DOUGHTERS AND SONS GOT EMPLOYED EARLY FARMING HELPED ME ALOT GET AN OPPORTUNITY TO RENT LAND FOR FARMING GOES TO WORK GOVERNMENT HAS PROTECTED US WELL HAD MANY HOUSEHOLD MEMBERS HARD WORK HARDWORK AND DETERMINATION HARDWORK PAYS HE IS EMPLOYED I HAVE WORKED HARD IMPROVE LABOUR USING MONEY IMPROVED WORKING CONDITIONS INCREASED NUMBER OF PEOPLE TO PROVIDE LABOR LAST YEAR I WAS SICK BUT NOW AM STRONG LOAN ACQUISITION MORE ANIMALS PURCHASED AND ADDITIONAL HOUSEHOLD BUSINESSES MORE LAND GIVEN TO US FOR CULTIVATION MORE PEOPLE ARE REPAIRING THEIR BICYCLE THIS YEAR MORE TIME SPENT ON THE FARM BY MY FATHER MY CHILDREN STARTED UP THEIR OWN HOMES MY RELATIVE HAS GIVEN ME A HOUSE TO STAY PEACE HAS BROUGHT GOOD HARVEST PEACE HAS IMPROVED HARVEST PROMOTION PROPER PRESERVATION OF THE ENVIRONMENT AND SOIL RECEIVE TREATMENT RENTED LAND FOR CULTIVATION RENTING ANOTHER ACRE OF LAND AND PUTING MORE ENERGY IN DIGING SHE HAS BEEN GIVEN A GARDEN THAT WAS INITIALY TAKEN BY HER SOLD MY COW SOLD MY FARM AND AM USING THAT MONEY FOR BUILDING SOLD OFF ONE HIS MOTORCYCLES AND EXPANDED THE BUSINESS SON HELP HER FARM USING PLOUGH UNLIKE BEFORE THE HEAD OF THE FAMILY GOT A BETTER JOB THE HUSBAND GOT A PRETY JOB THERE IS NO SECURITY IN THE VILLAGE THEY SAT DOWN AND AGREED ON HOW TO TAKE CARE OF ME THIS IS WHAT I GOT SOME MONEY FOR CULTIVATION THIS YEAR I CULTIVATED ON DRY LAND BUT LAST YEAR WAS IN TH TREATMENT WE SOLD ALMOST TO BUY THE PIGS AND POULTRY hh10 q5:in the last 12 months has your household suffered a particular problem o hh10 q5:in the last 12 months has your household suffered a particular problem o hh10 q5:in the last 12 months has your household suffered a particular problem o hh10 q5:in the last 12 months has your household suffered a particular problem o hh10 q5:in the last 12 months has your household suffered a particular problem o 3980 1 yes 2 no 98 dk/n/a hh10 q6:what was the problem - first mention? hh10 q6:what was the problem - first mention? hh10 q6:what was the problem - first mention? hh10 q6:what was the problem - first mention? hh10 q6:what was the problem - first mention? 1759 2221 1 loss of productive household member (death) 2 loss of productive household member (leaving hh) 3 illness/injury of household member 4 loss of (non-productive) household member (death) 5 loss of hhs own land or water resources 6 loss of access to land, water or other natural resources for production 7 loss of other productive assets (tools, machinery etc) 8 less income or loss of job 9 less income from animal husbandry, fishing or farming – lower volume of production 10 less income from animal husbandry, fishing or farming – higher costs or lower sales prices 11 less income from animal husbandry, - lower volume of sales 12 less income from other household business 13 increased number of dependents 14 large expenditure due to ill health or death of hh member (inc funeral) 15 large expenditure on social obligations 16 increased cost of food 17 increased cost of fuels, transport or other necessities 18 debt repayments 19 loss of aid (ex. ngo programme finishing) 42 loss of hhs own animals 97 other (specify) 98 don't know/no response Sysmiss hh10 q6:what was the problem - second mention? hh10 q6:what was the problem - second mention? hh10 q6:what was the problem - second mention? hh10 q6:what was the problem - second mention? hh10 q6:what was the problem - second mention? 388 3592 1 loss of productive household member (death) 2 loss of productive household member (leaving hh) 3 illness/injury of household member 4 loss of (non-productive) household member (death) 5 loss of hhs own land or water resources 6 loss of access to land, water or other natural resources for production 7 loss of other productive assets (tools, machinery etc) 8 less income or loss of job 9 less income from animal husbandry, fishing or farming – lower volume of production 10 less income from animal husbandry, fishing or farming – higher costs or lower sales prices 11 less income from animal husbandry, - lower volume of sales 12 less income from other household business 13 increased number of dependents 14 large expenditure due to ill health or death of hh member (inc funeral) 15 large expenditure on social obligations 16 increased cost of food 17 increased cost of fuels, transport or other necessities 18 debt repayments 19 loss of aid (ex. ngo programme finishing) 42 loss of hhs own animals 97 other (specify) 98 don't know/no response Sysmiss hh10 q6:what was the problem - third mention? hh10 q6:what was the problem - third mention? hh10 q6:what was the problem - third mention? hh10 q6:what was the problem - third mention? hh10 q6:what was the problem - third mention? 72 3908 1 loss of productive household member (death) 2 loss of productive household member (leaving hh) 3 illness/injury of household member 4 loss of (non-productive) household member (death) 5 loss of hhs own land or water resources 6 loss of access to land, water or other natural resources for production 7 loss of other productive assets (tools, machinery etc) 8 less income or loss of job 9 less income from animal husbandry, fishing or farming – lower volume of production 10 less income from animal husbandry, fishing or farming – higher costs or lower sales prices 11 less income from animal husbandry, - lower volume of sales 12 less income from other household business 13 increased number of dependents 14 large expenditure due to ill health or death of hh member (inc funeral) 15 large expenditure on social obligations 16 increased cost of food 17 increased cost of fuels, transport or other necessities 18 debt repayments 19 loss of aid (ex. ngo programme finishing) 42 loss of hhs own animals 97 other (specify) 98 don't know/no response Sysmiss rhh10 q6:what was the problem - other 1? rhh10 q6:what was the problem - other 1? rhh10 q6:what was the problem - other 1? rhh10 q6:what was the problem - other 1? rhh10 q6:what was the problem - other 1? 188 CHILDREN HAD NOTHING TO EAT SO SHE MOVED AND LEFT THEM WITH GMOTHER CLIMATE CHANGES AND SEASONS WAS APROBLEM COURT CASE EXPENDITURE COURT CASE OVER FAMILY LAND HAS LED TO INCREASED EXPENDITURE CROPS WERE SWEPT AWAY BY FLOODS DEATH AND SICKNESS DEATH OF A PERSON SHE WAS BUYING LAND FROM DEATH OF BROTHER DEATH OF GRAND CHILD DEATH OF GRAND CHILDREN DEATH OF GRAND MOTHER DEATH OF GRANDMOTHER DEATH OF HIS MOTHER AND THE SON BROKE HIM DOWN DEATH OF MOTHER DEATH OF MY GRAND CHILD THIS YEAR IN MARCH DEATH OF MY GRAND MOTHER DEATH OF MY GRANDCHILDREN DEATH OF MY NEPHEW THIS YEAR DEATH OF MY SON DEATH OF MY WIFE DEATH OF MY YOUNG BROTHER DEATH OF NON HOUSEHOLD MEMBER DEATH OF SON INLAW DEATH OF STEP CHILD, ILLNESS OF HOUSEHOLD MEMBERS DEATH OF THE BROTHER'S SON AND THE GRAND CHILD, NO FOOD DISEASES/SICKNESS DOMESTIC VIOLENCE AND WRANGLE OVER PROPERTY WITH THE SPOUSE DOMESTIC VIOLENCE(HUSBANCHASED ME A WAY ),SICKNESS EDUCATION EDUCATION FEES EDUCATION HAS BECOME EXPENSIVE FAILED TO PAY FOR SCHOOL FEES FAILURE TO PAY SCHOOL FEES FAMINE FAMINE (HUNGER) FAMINE HUNGER FEES FEES(EDUCATION) FERMINE IS THE CAUSE OF SICKNESS FLOODING FLOODS FRUSTRATION BECAUSE MY NAME SCRAPPED FROM PAYROLL GOING TO THE COURT TO SETTLE ISSUES OF LAND HAVE SPENT ALOT IN LAND CAUSES-PEOPLE TRYING TO TAKE MY LAND HE WAS THREATENED TO BE INPRISONED BY THOSE WHO STOLE HIS CATTLE HIS HOUSE GOT BURNT WITH EVERYTHING INSIDE HOUSE AND EVRYTHING IN IT GOT BURNT HOUSE GOT BURNT WITH EVERYTHING INSIDE HOUSEHOLD LOST A BROTHER AND THE BURDEN BORN BY THE HOUSEHOLD HOUSEHOLD PROPERTY STOLEN THREE TIMES HUNGER HUNGER BECAUSE THERE IS NO FOOD TO EAT HUNGER PROBLEM HUNGER,SICKNESS,SCHOOL FEES I AM EVER DOWN TAKEN CARE BY WELL WISHERS I FELL SICK THIS YEAR AND WAS ADMITTED I HAD A PROBLEM CONSTRUCTING MY HOUSE I HAD A PROBLEM OF FAMINE, I HAD NO FOOOD TO EAT I HAD A PROBLEM OF PAYING SCHOOL FEES FOR THE CHILDREN I HAD PROBLEM OF SCHOOL FEES I HAVENT TAKEN MY GRAND DAUGHTER TO SCHOOL I WAS ROBBED AND ALL MY PROPERTY WERE TAKEN ILLNESS ILLNESS OF DAUGHERS,FARMING,FEEDING OF CHILDREN ILLNESS OF HOUSEHOLD HEAD AND SPOUSE,SCHOOL FEES PROBLEM ILLNESS OF THE HOUSEHOLD HEADD, HUNGER SO HAD TO BORROW ABOUT 20000 IMPPRISONMENT OF BROTHER IMPRISONMENT IMPRISONMENT OF PRODUCTIVE HOUSEHOLD MEMBER INADEQUATE FUNDS TO PAY FOR CHILDREN FEES AND OTHER NECESSITIES INCREASED COST OF LABOUR IS OLD AND CANNOT HELP THE GRAND CHILDREN LACK OF FEES TO PAY FOR THE CHILDREN LACK OF FOOD LACK OF FOOD CASSAVA, BEANS LACK OF MONEY TO CATER FOR HOSPITAL BILLS LACK OF MONEY TO GO TO PRIVATE HOSPITAL FOR CHECK UP LACK OF SCHOOL FEE TO THE CHILDREN LACK OF SCHOOL FEES LACK OF SCHOOL FEES FOR MY CHILDREN LAND CONFLICT LAND GRABING LAND WANGLES LAND WRANGLES LARGE EDUCATION EXPENCES LONGTIME ILLNESS OF PRODUCTIVE HH MEMBER LOSS OF AGRICULTURAL PRODUCE THROUGH THEFT LOSS OF PROPERTY E.G THE HOUSE, CROPS E.T.C LOST MY CATTLE LOST OUR HOUSE TO FIRE AND DAMAGE ON LOT OF PROPERTIES MARRYING FOR BOYS WOMEN MONEY WAS STOLEN FROM THE HOUSE MY 3 CHILDREN RAN MAD THIS YEAR MY ELDER SON HUNGED HIMSELF WITH A ROPE AND LEFT BEHIND CHILDREN MY HOUSE COLLAPSED MY HOUSE GOT BURNT MY HOUSE GOT BURNT AND I LOST ALOT OF PROPERTY MY HOUSE GOT BURNT AND I LOST EVERYTHING MY HOUSE GOT BURNT THIS YEAR IN JUNE BY MY DAUGHTER MY HOUSE GOT BURNT WITH EVERYTHING ON IT MY HOUSE WAS BURNT AND REMAINED WITH NOTHING MY HUSBAND WAS ARRESTED AND IMPRISONED MY HUT GOT BURNT LAST YEAR DECEMBER BY MY GRAND SON MY MONEY WAS STOLEN MY SON IMPREGNATED A GIRL AND I WAS FINE MY SON IMPREGNATED A NEIGHBORS DAUGHTER MY SON IMPREGNATED A STUDENT AND I WAS MADE TO PAY A FINE MY SON PASSED HIS UACE AND I FAILED TO GET MONEY FOR UNIVERSITY MY WIFE DEVORCED ME NO FOOD TO EAT,HUNGER. NO HOUSES FOR SLEEPING NO MONEY FOR SCHOOL FEES PAID FINE TO SOMEONE WHOSE DAUGHTER WAS IMPREGNATED BY MY SON PAYING DEBTS PAYING FEES PAYING SCHOOL FEES POOR HOUSING POVERTY PROBLEM OF PAYING SCHOOL FEES,PAYING BILLS FOR SICK CHILDREN PROBLEM OF SCHOOL FEES RAPE RELATIVES WANTED TO STOLE MY LAND REPAIRING THE BUILDING ROBBERY OF MONEY FROM THE HOUSEHOLD SCHOOL FEES SCHOOL FEES FOR THE CHILDREN SCHOOL FEES RPOBLEM.I HAVE MANY CHILDREN WHOOM I PAY SCHOOL FEES TO SHE FAILED TO GET MONEY FOR SCHOOL FOR OLDEST SON SHE NETS SICK DUE TO OLD AGE , SHE LOST HER AUNT AND LOST ASSESTS SHOOL FEES PROBLEMS SICKNESS HIGH COST OF FOOD SICKNESS OF HOUSEHOLD MEMBER AND INCREASED COST OF FOOOD SICKNESS OF THE CHILD AND UNABLE TO PAY BILLS,LACK OF SCHOOL FEES SICKNESS OF THE HHOLD HEAD SICKNESS, FAMINE SICKNESS,STOLE MY HOUSEHOLD PROPERTY AS WELL AS MY ANIMALS SOME SICKNESS IN THE THROAT THAT MADE FARMING HARD FOR HER SOMETIMES I LACK WHAT TO EAT BECAUSE OF LOW INCOME SON WAS ARRESTED AND IMPRISONED SON WAS ARRESTED OVER BUYING A STOLEN GOAT STOLEN BUSINESS THE CHILD OF A HOME WAS ARRESTED AND PUT IN JAIL THE CROPS SWEPT AWAY BY RUNNING WATER FROM THE GARDENS THE CROPS WERE SWEPT AWAY FROM THE GARDEN DUE TO HEAVY RAINS THE CROPS WERE SWEPT FROM THE GARDEN DUE TO OVERFLOWING WATER THE FLOODS SUBMERGED ALL THE CROPS IN THE GARDEN THE HEAD OF HHOLD DOPED WITH SOMEONES NEIGHBOUR THE HOUSE COLLAPSED THE HOUSE GOT BURNED BY MY GRANDSON OMARA WHEN WE HAD GONE MARKET THE HOUSE GOT BURNT IN AUGUST 2011 THE HOUSE GOT BURNT WITH ALL HOUSEHOLD PROPERTIES THE HOUSE GOT BURNT WITH EVERYTHING INSIDE THE HOUSEHOLD RAN SHORT OF FOOD THE HUSBAND WAS TAKEN TO COURT AND THEY COULD NOT AFFORD THE FINE THE ONLY HUT SHE USES FOR LIVING COLLAPSED THE RELATIVES ARE CHASSING ME OUT OF THE PREMISES MY HUSBAND LEFT THE WATER SUBMERGED CROPS IN THE GARDEN THEFT THEFT OF THE MONEY, FREQUENT GOING TO THE COURT THEFT. HOUSEHOLD ASSETS WERE STOLEN. THEY EXTRACTED ONE OF MY TOOTH BADLY EVER SINCE THEN I HAVE NO PEAC TWO HUTS WERE SET ON FIRE BY UNKNOWN PERSONS WITH LOTS OF HOUSEHOLD UNABLE TO BUY FOOD,AND GRAND SONS FEES UNABLE TO MEET HOUSEHOLD NEEDS LIKE BUYING FOOD & PAYING SCHOOL FEE VIOLENCE CAUSED BY MOTHER IN LAW WHO ACCUSED ME OF KILLING HUSBAND WAS ARRESTED FOR FISHING AND MOTHER SOLD LIVESTOCK TO GET HIM OUT WE FAILED TO RAISE MY GRAND CHILD'S EDUCATION WENT TO COURT SOME ONE WANTED TO GRAB MY LAND FROM ME rhh10 q6:what was the problem - other 2? rhh10 q6:what was the problem - other 2? rhh10 q6:what was the problem - other 2? rhh10 q6:what was the problem - other 2? rhh10 q6:what was the problem - other 2? 20 AFTER HE DIED ASSETS E.GMATRESS DEATH OF GRAND CHILD DISTRUCTION OF AGRICULTURE,PLANTS EDUCATION FEES GOT AN ACCIDENT IN THIS MONTH HOUSE WIFE AND CHILD LEFT THE HOUSEHOLD AFTER A CONFLICT HUNGER AND LACK OF SCHOOL FEES I HAVE FAILED TO ERECT A HOUSE TO LIVE IN. I HAVE NO HEL ILLNESS OF HOUSE HOLD HEAD AND SPOUSE LACK OF AN OX PLOUGH LACK OF MONEY TO PAY FOR THE HOSPITAL BILLS WHEN CHILDRE LESS INCOME FROM HH BUSINESS LOST MY CHILD MARRIAGE OF MY SON(SON'S MARRIAGE EXPENSE) PAYING FEES POOR SHELTER SCHOOL FEES PROBLEM THEFT OF MONEY THERE IS NO MONEY TO CATER FOR FAMILY NEEDS. hh10 q7:how did your household attempt to cope with this problem - first mention hh10 q7:how did your household attempt to cope with this problem - first mention hh10 q7:how did your household attempt to cope with this problem - first mention hh10 q7:how did your household attempt to cope with this problem - first mention hh10 q7:how did your household attempt to cope with this problem - first mention 1759 2221 1 mortgage assets 2 sell assets 3 sell livestock 4 use savings 5 withdraw children from school 6 sent children for wage employment 7 send children to live elsewhere 8 migration 9 formal borrowing 10 informal borrowing 11 reduce consumption 12 consume lower quality food/ less preferred food 13 help provided by relatives and friends 14 help provided from local governments 15 more wage employment 16 change crop choices to avoid bad weather or pest attack 17 improve technology 18 work as self employed 19 increased agricultural labor supply 97 other 98 don't know/no response Sysmiss hh10 q7:how did your household attempt to cope with this problem - second mentio hh10 q7:how did your household attempt to cope with this problem - second mentio hh10 q7:how did your household attempt to cope with this problem - second mentio hh10 q7:how did your household attempt to cope with this problem - second mentio hh10 q7:how did your household attempt to cope with this problem - second mentio 473 3507 1 mortgage assets 2 sell assets 3 sell livestock 4 use savings 5 withdraw children from school 6 sent children for wage employment 7 send children to live elsewhere 8 migration 9 formal borrowing 10 informal borrowing 11 reduce consumption 12 consume lower quality food/ less preferred food 13 help provided by relatives and friends 14 help provided from local governments 15 more wage employment 16 change crop choices to avoid bad weather or pest attack 17 improve technology 18 work as self employed 19 increased agricultural labor supply 97 other 98 don't know/no response Sysmiss hh10 q7:how did your household attempt to cope with this problem - third mention hh10 q7:how did your household attempt to cope with this problem - third mention hh10 q7:how did your household attempt to cope with this problem - third mention hh10 q7:how did your household attempt to cope with this problem - third mention hh10 q7:how did your household attempt to cope with this problem - third mention 66 3914 1 mortgage assets 2 sell assets 3 sell livestock 4 use savings 5 withdraw children from school 6 sent children for wage employment 7 send children to live elsewhere 8 migration 9 formal borrowing 10 informal borrowing 11 reduce consumption 12 consume lower quality food/ less preferred food 13 help provided by relatives and friends 14 help provided from local governments 15 more wage employment 16 change crop choices to avoid bad weather or pest attack 17 improve technology 18 work as self employed 19 increased agricultural labor supply 97 other 98 don't know/no response Sysmiss hh10 q7:how did your household attempt to cope with this problem - other 1? hh10 q7:how did your household attempt to cope with this problem - other 1? hh10 q7:how did your household attempt to cope with this problem - other 1? hh10 q7:how did your household attempt to cope with this problem - other 1? hh10 q7:how did your household attempt to cope with this problem - other 1? 164 ADVISE FROM FRIENDS BORREWED MONEY FROM VSLD BORROWED A COW FROM A FRIEND CALL FOR PRAYERS AT HOME CASUAL LABOUR CASUAL LABOURING CHANGED SCHOOL FOR THE CHILDREN CHILDREN REPORTED LATE TO SCHOOL COLLECTING DOWRY FROM SON-IN-LAW TO PAY CATTLE DECIDED NOT TO GO FOR BURIAL DECIDED TO GO FOR BURIAL DID NOTHING FAILED TO GET SOLUTION FARMING FENCED THE AREA TO AVOID CATTLE FROM GETTING IN FIREWOOD FREE MEDICATION FROM GOVERNMENT HOSPITAL FRIENDS GAVE THEM TWO COWS TO KEEP FULL TIME PARTICIPATION IN FARMING GO FOR TREATMENT TO THE GOVERNMENT HOSPITAL GO TO PEOPLE GODS PRAYER GOING FOR TREATMENT TO THE HOSPITAL GOT A LOAN GOT FOOD FROM THE GARDEN GOT HELP AND SUPPORT FROM THE COMMUNITY GOT NO HELP FROM ANYONE GOT TREATED FROM A HOSPITAL GOVERNMENT AND CLAN MEMBERS SOLVED THE PROBLEM HAD TO LET IT GO AND HAVE A NEW LIFE HAVE NO PLACE TO MOVE TO HE SOLD SUGAR CANE TO RAISE SOME MONEY HELP FROM GROUP ROSCA HELP FROM NGO HELP FROM RELATIVES AND FRIENDS I AM STILL TRYING TO LOOK FOR MONEY TO ROOF THE NEW HOUSE I DECIDED TO DIG INORDER TO GET BACK I GAVE GOAT FOR THE BURIAL I HAD TO PLANT MY SONS GARDEN I HAVENT SOLVED THE PROBLEM I I DECIDED TO GO TO THE GOVERNMENT'S HOSPITAL WHICH IS FREE I PREPARED WARAGI AND SOLD TO GET MONEY I RENTED LAND AS I WAITED THE COURT PROCEEDINGS I SLAUGHTERED A COW TO MEET BURIAL EXPENSES I SLAUGHTERED THE ONLY COW I HAD TO CATER FOR THE BURIAL EXPENSES I SOLD AGRICULTURAL PRODUCE LIKE BEANS AND MAIZE I SOLD BEANS CASSAVA I SOLD MAIZE TO SOLVE THE PROBLEM I SOLD MY HARVESTS CARROTS I SOLD MY MILLET I HAD TO RECEIVE TREATMENT I SOLD MY TEA TO TREAT MYSELF BUT STILL AM NOT OK I SOLD MY WARAJI TO OVERCOME MY PROBLEM I SOLD SUNFLOWER I SOLD TOBACCO TO SOLVE THE PROBLEM I SOLD WARAGI MADE FROM MY BANANAS AND SOME IN THE MONG I TALKED TO SCHOOL ADMINISTRATION AND WHO ACCEPTED AND GAVE BURSARY I TOOK CHILDREN FOR TREATMENT TO THE HOSPITAL IHAD NO MONEY TO HELP ME INCREASED AGRICULTURAL PRODUCTION BY POLANTING MORE CROPS JUST SURENDERED THE LAND KILLED COWS FOR KEEPING MOVED SOMEWHER AND THE PAID ME NO ACTION TAKEN NOT YET COPED NOTHING NOTHING BECAUSE AM NOT OPERATED BECAUSE OF LACK OF MONEY NOTHING BECAUSE I HAVE NO CHILD TO TAKE CARE OF THE MEDICAL BILLS NOTHING BECAUSE I HAVE THE SAME PROBLEMS NOTHING BECAUSE THEY HAVE NOT YET OPERATED ME. NOTHING COULD BE DONE TO GET THE HUSBAND OUT OF PRISON NOTHING THOT OF.THE CHILD WILL NOT GO TO SCH UNTILL FURTHER NOTICE NOTHING WAS DONE TO SOLVE PARTICIPATED IN CASUAL WORK PLANTED SOME CASSAVA PLANTING AND SELLING FOOD PRAYED AND SOUGHT SPIRITUAL HELP PRAYER RECEIVING FOOD FROM RELATIVES REDUCING HOURS OF WORK RELATIVES RENTED OUT PIECE OF MY LAND TO GET MONEY REPORT TO CHAIR PERSON REPORTED TO CHAIRPERSON BUT WAS NOT HELPED SALE OF BEANS SECHING OUT PUT SELL AGRICULTURAL PRODUCE SELL CROPS SELL MATOKE TO BUY FOOD SELL OF AGRICULTURAL PRODUCE SELL OF AGRICULTURAL PRODUCE EG CASSAVA SELL OF MAIZE SELL OF ORANGES, CASSAVA SELL OF POULTRY SELL OF PRODUCE (AGRICULTURAL PRODUCE) SELL PRODUCE SELL THE PRODUCE E.G MAIZE TO GET MONEY TO BUY FOOD SELLING AGRICULTURAL PRODUCE MILLET SELLING CASSAVA,BEANS AND MAIZE SELLING CHICKEN FIREWOOD SELLING FIREWOOD SELLING HOUSEHOLD AGRICULTURAL PRODUCTS SELLING LABOUR SELLING LABOUR IN PEOPLES SELLING LABOUR TO GET MONEY FOR TREATMENT SELLING OF AGRICULTURAL PRODUCTS LIKE BEANS AND GROUNDNUTS SELLING OF AGRICULTURAL PRODUCTS(SUGAR CANE) SELLING OF BEANS SELLING OF BEANS , PEAS, GROUND NUTS SELLING OF FOOD LIKE MAIZE SELLING OF THE FOOD CROPS SELLING OF THE HOUSEHOLD GOODS LIKE MAIZE SELLING SUNFLOWERS SELLING WHAT WAS MEANT FOR HOUSEHOLD CONSUMPTION SELLS FEW CROPS OBTAINED FROM AGRIC MEANT FOR CONSUMPTION SEPARATION SET UP BUSINESS SHE HAD TO CONSTRUCT ANOTHER HUT WITH HELP OF RELATIVES SHE HAD TO STOP CULTIVATING THE LAND SMALL SCALE FARMING SOLD AGRICULTURAL PRODUCTS SOLD CASSAVA TO GET MONEY AND BUY PROPERTY SOLD FARM PRODUCE TOM GET MORE MONEY SOLD FOOD SOLD FROM THE GARDEN SOLD HOUSEHOLD PRODUCE SOLD MAIZE SOLD MAIZE TO HELP SOLVE THE PROBLEM SOLD MAIZE TO SOLVE THE PROBLEM SOLD MUCH OF THE HARVEST SOLD MY GROUNDNUTS AND IRISH POTATOES SOLD MY MAIZE SOLD MY OUTPUT CROPS LIKE BEANS SOLD PRODUCE SOLD PRODUCE FROM THE GARDEN SOLD SOGHUM TO PAY FOR FEES SOLD SOME BANANAS TO PAY SOLD SOME FOOD PRODUCTS SOMEONE GAVE HER WHAT TO EAT SOUGHT LEGAL JUSTICE STILL THE SAME SUPPORT FROM RELATIVES THE CASE IS STILL IN COURT THE FOOD PROBLEM WAS SOLVED BY SPONSORSHIP GIVEN BY AN NGO THE PERSON WHO BURNT IT PAID IT OFF TRY TO FIT IN THE SAME HUT ALMOST 7 PEOPLE WALKED FOR TWO DAYS TO REACH THE HEALTH FACILITY WE ARE TRYING TO LOOK FOR MONEY TO THATCH THE HOUSE AND RECONSTRUCT WE RELOCATED TO ANOTHER UNUSED LAND TO CULTIVATE WE SURVIVE BECAUSE OF GOD'S MERCY WE WENT TO THE HOSPITAL; FOR TREATMENT WENT FOR A LEGAL ACTION FROM LC WENT TO GOVERNMENT HEALTH UNIT WHAT TO THE HOSPITAL FOR TREATMENT WORK AS A CASUAL LABOURER IN PEOPLE'S FARM hh10 q7:how did your household attempt to cope with this problem - other 2? hh10 q7:how did your household attempt to cope with this problem - other 2? hh10 q7:how did your household attempt to cope with this problem - other 2? hh10 q7:how did your household attempt to cope with this problem - other 2? hh10 q7:how did your household attempt to cope with this problem - other 2? 10 FREE GOVERNMENT MEDICATION GARDEN TO WORK FOR MONEY TO BUY HOUSEHOLD NEEDS I RENTED A PLOT OF LAND TO CULTIVATE ON I WENT TO GOVERNMENT HOSPITAL FOR TREATMENT SELLING OF BEANS,SIMSIM SELLING OF HOME PRODUCTS(CROPS) SICKNESS I WENT TOP THE HOSPAL FOR TREATMENT SOLD AGRICULTURAL PRODUCTS SOLD LIVESTOCK TOOK THE SICK BABY TO GOVT HOSPITAL hh11 q1: is anyone form this household currently a member of a village savings a hh11 q1: is anyone form this household currently a member of a village savings a hh11 q1: is anyone form this household currently a member of a village savings a hh11 q1: is anyone form this household currently a member of a village savings a hh11 q1: is anyone form this household currently a member of a village savings a 3980 1 yes 2 no 98 don't know/no response hh11_q2:is the village savings and loans associaltion(vsla) run by care internat hh11_q2:is the village savings and loans associaltion(vsla) run by care internat hh11_q2:is the village savings and loans associaltion(vsla) run by care internat hh11_q2:is the village savings and loans associaltion(vsla) run by care internat hh11_q2:is the village savings and loans associaltion(vsla) run by care internat 1093 2887 1 yes 2 no 98 don't know/no response Sysmiss hh11_q3:do you or anybody in this household currently have any cash savings? hh11_q3:do you or anybody in this household currently have any cash savings? hh11_q3:do you or anybody in this household currently have any cash savings? hh11_q3:do you or anybody in this household currently have any cash savings? hh11_q3:do you or anybody in this household currently have any cash savings? 3980 1 yes 2 no 98 don't know/no response hh11 q4a: where do you/person in your household keep their cash savings? hh11 q4a: where do you/person in your household keep their cash savings? hh11 q4a: where do you/person in your household keep their cash savings? hh11 q4a: where do you/person in your household keep their cash savings? hh11 q4a: where do you/person in your household keep their cash savings? 1311 2669 1 at home 2 vsla (village saving s and loan assosiations) 3 rosca and other informal savings scheme 4 ngo / mfi 5 cooperative/sacco 6 bank / formal institution 7 with a trader / shop 97 other 98 don't know/no response Sysmiss hh11 q4b: where do you/person in your household keep their cash savings? hh11 q4b: where do you/person in your household keep their cash savings? hh11 q4b: where do you/person in your household keep their cash savings? hh11 q4b: where do you/person in your household keep their cash savings? hh11 q4b: where do you/person in your household keep their cash savings? 239 3741 1 at home 2 vsla (village saving s and loan assosiations) 3 rosca and other informal savings scheme 4 ngo / mfi 5 cooperative/sacco 6 bank / formal institution 7 with a trader / shop 97 other 98 don't know/no response Sysmiss hh11 q4c: where do you/person in your household keep their cash savings? hh11 q4c: where do you/person in your household keep their cash savings? hh11 q4c: where do you/person in your household keep their cash savings? hh11 q4c: where do you/person in your household keep their cash savings? hh11 q4c: where do you/person in your household keep their cash savings? 22 3958 1 at home 2 vsla (village saving s and loan assosiations) 3 rosca and other informal savings scheme 4 ngo / mfi 5 cooperative/sacco 6 bank / formal institution 7 with a trader / shop 97 other 98 don't know/no response Sysmiss hh11 q4c: where do you/person in your household keep their cash savings - other hh11 q4c: where do you/person in your household keep their cash savings - other hh11 q4c: where do you/person in your household keep their cash savings - other hh11 q4c: where do you/person in your household keep their cash savings - other hh11 q4c: where do you/person in your household keep their cash savings - other 13 ABEK CEDA CEDE CHURCH CHURCH GROUP CLAN FRIENDS HEALTH CENTRE GROUP MOBILE MONEY NAADS RELIGIOUS SAVINGS GROUP TEA SCHEME UWESO GROUP hh11 q5 how much in total is currently held in savings by all members of your h hh11 q5 how much in total is currently held in savings by all members of your h hh11 q5 how much in total is currently held in savings by all members of your h hh11 q5 how much in total is currently held in savings by all members of your h hh11 q5 how much in total is currently held in savings by all members of your h 1311 2669 98 don't know 200 300 500 1000 1500 2000 2200 2500 3000 4000 5000 6000 6500 6600 7000 7500 8000 8800 9000 9500 9900 10000 11000 12000 12300 13000 15000 15400 16000 16500 17000 18000 20000 21000 22000 22800 23000 24000 25000 27000 30000 31850 32000 33000 34000 35000 35200 36000 38000 39000 40000 42000 44000 45000 47000 48000 50000 52000 53000 54000 55000 56000 60000 63000 64000 66000 68000 70000 72000 75000 76000 80000 84000 85000 86000 87000 88000 89000 90000 94000 100000 105000 108000 110000 112000 120000 126000 127000 130000 137000 138000 140000 145000 150000 155000 156000 160000 170000 180000 195000 200000 205000 210000 216000 220000 225000 230000 235000 240000 250000 252000 260000 267000 268000 270000 277000 280000 300000 310000 319000 320000 340000 349000 350000 400000 430000 436000 444000 448000 450000 500000 600000 630000 650000 700000 720000 770000 800000 900000 910000 1000000 1030000 1250000 1300000 1500000 1700000 1800000 2000000 2200000 3000000 3800000 4000000 5000000 5500000 6000000 6500000 10000000 15000000 30000000 62000000 Sysmiss hh11 q6:has anybody in your household borrowed any money in the last 12 months? hh11 q6:has anybody in your household borrowed any money in the last 12 months? hh11 q6:has anybody in your household borrowed any money in the last 12 months? hh11 q6:has anybody in your household borrowed any money in the last 12 months? hh11 q6:has anybody in your household borrowed any money in the last 12 months? 3980 1 yes 2 no 98 don't know/no response hh11 q7:if not why not? hh11 q7:if not why not? hh11 q7:if not why not? hh11 q7:if not why not? hh11 q7:if not why not? 2057 1923 1 no one would lend: no one has money 2 no one would lend: not credit worthy 3 prefer not to owe money 4 don’t need it 97 other 98 don't know/no response Sysmiss hh11 q6:if not why not - other? hh11 q6:if not why not - other? hh11 q6:if not why not - other? hh11 q6:if not why not - other? hh11 q6:if not why not - other? 49 ALREADY HAS LOAN CAN'T PAY BACK CANT AFFORD TO PAY DIFFICULT TO PAY DO ODD JOBS FOR MONEY DOESN'T KNOW THE PROCESS DONT HAVE ANYONE I CAN TALK TO ALOT MO FEAR BAD LOAN RECOVERS FEAR DEPTS FEARING AND ASSOCIATED BURDENS FEARING DISTURBANCE FROM CALENDER FEARS TO BE ARRESTED GOT CAPITAL FOR THE HOUSEHOLD BUSINESS HARD TO PAY HELP FROM THE CHILDREN HIGH INTEREST RATE HIGH INTREST RATE I DON`T HAVE WAYS TO PAY BACK JERUSAND CONDITION JUST STARTED LABOUR FOR PAYMENT NO ABLE TO PAY BACK NO MEANS TO PAY BACK NO MONEY TO PAY BACK NO ONE IS WILLING TO LEND ME MONEY NO SECURITY NO WAY TO PAY BACK NO WAYS OF PAYING IT BACK NO WAYS OF REPAYMENT NOT ABLE TO PAY NOT ABLE TO PAY BACK NOTHING TO PAY BACK WITH NOTHING TO PAY IT BACK RELIGION SELL CROPS TO BUY WHAT I NEED SHE FEARS TROUBLE THAT COMES WHEN SHE TERMS AND CONDITIONS TERMS AND CONDITONS WERE HARSH TERMS CONDITION THAT AM OLD I CANT PAY THE GROUP HAS JUST BEGUN THERE IS NO MONEY THEY WILL NOT GIVE ME TO PAY NO MONEY UNABLE TO PAY BACK hh11 q8:how many times? hh11 q8:how many times? hh11 q8:how many times? hh11 q8:how many times? hh11 q8:how many times? 1888 2092 1 2 3 4 5 6 7 8 9 10 11 12 15 20 30 97 98 don't know/no response Sysmiss hh11 q9:how much money did you borrow in total in the last 12 months?- ugx hh11 q9:how much money did you borrow in total in the last 12 months?- ugx hh11 q9:how much money did you borrow in total in the last 12 months?- ugx hh11 q9:how much money did you borrow in total in the last 12 months?- ugx hh11 q9:how much money did you borrow in total in the last 12 months?- ugx 1888 2092 98 9999999999 153917185.522 1230098293.398 hh11 q10:how much do you currently owe in total to all sources of borrowing? - u hh11 q10:how much do you currently owe in total to all sources of borrowing? - u hh11 q10:how much do you currently owe in total to all sources of borrowing? - u hh11 q10:how much do you currently owe in total to all sources of borrowing? - u hh11 q10:how much do you currently owe in total to all sources of borrowing? - u 1888 2092 98 9999999999 2092367794.598 4068461809.66 hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh 1888 2092 1 private (family/friend) 2 trader 3 money lender 4 bank 5 ngo / mfi 6 religious group 7 rosca 8 vsla (village savings and loan association) 9 sacco 97 other 98 don't know/no response Sysmiss hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh 38 AFTER EVERY ONE YEAR BECHI GEN GROUP BUILDING RURAL AFRICAN COMMUNITIES-BRAC CHAIRMAN CHAN PWONYI GROUP CHURCH CLAN COMMITEE FAMILY SAVINGS FARMING GROUP FROM THE CHURCH FROM VILLAGE ASSOCIATION GROUP SAVINGS INFORMAL LOAN SCHEME INFORMAL SAVING INFORMAL SAVING AKIBA INFORMAL SAVING GROUP AKIBA INFORMAL SAVING SCHEME INFORMAL SAVINGS SCHEME KOKA MOBILE MONEY OTHER INFORMAL SAVING SCHEME OTHER INFORMAL SAVINGS OTHER SAVINGS SCHEME SKIBA SSD TIMBER GROUP UWESO UWESO GROUP VILLAGE BANK IN PAKWACH VILLAGE GROUP VILLAGE SAVINGS WOMEN ASSOCIATION YOUTH CONER hh11 q12a:what where the main reasons for this last loan? - first hh11 q12a:what where the main reasons for this last loan? - first hh11 q12a:what where the main reasons for this last loan? - first hh11 q12a:what where the main reasons for this last loan? - first hh11 q12a:what where the main reasons for this last loan? - first 1888 2092 1 basic food needs 2 basic supplies (batteries, gas, etc) 3 livestock 4 livestock production (incl. trade in livestock) 5 agricultural production (incl. trade in agricultural production) 6 household asset 7 cell phone airtime 8 business (not livestock or agriculture) 9 education expenses 10 health expenses 11 repay debt 97 other 98 don't know/no response Sysmiss hh11 q12b:what where the main reasons for this last loan? - second hh11 q12b:what where the main reasons for this last loan? - second hh11 q12b:what where the main reasons for this last loan? - second hh11 q12b:what where the main reasons for this last loan? - second hh11 q12b:what where the main reasons for this last loan? - second 636 3344 1 basic food needs 2 basic supplies (batteries, gas, etc) 3 livestock 4 livestock production (incl. trade in livestock) 5 agricultural production (incl. trade in agricultural production) 6 household asset 7 cell phone airtime 8 business (not livestock or agriculture) 9 education expenses 10 health expenses 11 repay debt 97 other 98 don't know/no response Sysmiss hh11 q12c:what where the main reasons for this last loan? - third hh11 q12c:what where the main reasons for this last loan? - third hh11 q12c:what where the main reasons for this last loan? - third hh11 q12c:what where the main reasons for this last loan? - third hh11 q12c:what where the main reasons for this last loan? - third 151 3829 1 basic food needs 2 basic supplies (batteries, gas, etc) 3 livestock 4 livestock production (incl. trade in livestock) 5 agricultural production (incl. trade in agricultural production) 6 household asset 7 cell phone airtime 8 business (not livestock or agriculture) 9 education expenses 10 health expenses 11 repay debt 97 other 98 don't know/no response Sysmiss hh11 q13:in an emergency situation would you be able to borrow a large amount of hh11 q13:in an emergency situation would you be able to borrow a large amount of hh11 q13:in an emergency situation would you be able to borrow a large amount of hh11 q13:in an emergency situation would you be able to borrow a large amount of hh11 q13:in an emergency situation would you be able to borrow a large amount of 3980 1 yes 2 no 98 dk/n/a hh11 q14:have you or any member of your household bought anything on credit in t hh11 q14:have you or any member of your household bought anything on credit in t hh11 q14:have you or any member of your household bought anything on credit in t hh11 q14:have you or any member of your household bought anything on credit in t hh11 q14:have you or any member of your household bought anything on credit in t 3980 1 yes 2 no 98 dk/n/a hh11 q15: if not why not? hh11 q15: if not why not? hh11 q15: if not why not? hh11 q15: if not why not? hh11 q15: if not why not? 2392 1588 1 2 3 4 97 others 98 dk/n/a Sysmiss hh11 q15: if not why not - other ? hh11 q15: if not why not - other ? hh11 q15: if not why not - other ? hh11 q15: if not why not - other ? hh11 q15: if not why not - other ? 45 BRINGS PROBLEMS CAN ALWAYS AFORD WHAT IS NEEDED CAN NOT AFORD TO PAY BACCK CANNOT PAY IT BACK CANT AFFORD TO PAY DIFFICULT TO PAY GOT FROM HOME BUSINESS HAD WHAT TO EAT HARD TO PAY HAS MONEY FOR BUYING THINGS HAVE OWN MONEY I HAVE A SHOP IT IS HARD TO PAY BACK MY HUSBAND BUYS, I DON'T KNOW NO ONE ACCEPTS TO GIVE CREDIT NO ONE ALOWS TO GIVE ON CREDIT NO ONE CAN GIVE NO ONE CAN GIVE CREDIT NO ONE CAN LEND NO ONE GIVES ON CREDIT NO WAY TO REPAY IT NO WAYS OF PAYING IT BACK NO WAYS OF REPAYMENT NON IS WILLING TO GIVE CREDIT NONE CAN GIVE CREDIT NOTHING TO PAY BACK OWNER DO NOT ACCEPT OWNER DOES NOT ACCEPT OWNERS DONT ALLOW TO TAKE GOODS ON CREDIT OWNERS DON`T ACCEPT PEOPLE DONT ALLOW GIVING THINGS TO OLD PEOPLE ON CREDIT PEOPLE DONT GIVE CREDIT PEOPLE DONT GIVE MONEY FOR CREDIT PEOPLE DONT PREFFER GIVING ITEMS ON CREDIT PEOPLE NO LONGER WANT TO SELL IN CREDIT PEOPLE NOT WILLING TO GIVE CREADIT PPLE DONT GIVE CREDIT RELATIVE GIVE MONEY RELIGION RESPONDENT IS OLD AND THEREFORE NO ONE CAN GIVE HIM ON CREDIT SHOPS ARE FAR THERE IS ENOUGH MONEY THERE IS NO ONE I CAN BORROW FROM TRADERS DONT ALLOW CREDIT VERY DIFFICULT FOR PEOPLE TO LEND YOU MONEY hh11 q16:how many times? hh11 q16:how many times? hh11 q16:how many times? hh11 q16:how many times? hh11 q16:how many times? 1576 2404 1 2 3 4 5 6 7 8 9 10 11 12 13 15 18 20 24 30 50 98 dk/can't remember Sysmiss hh11 q17: how much has your household purchased on credit in the last 3 months w hh11 q17: how much has your household purchased on credit in the last 3 months w hh11 q17: how much has your household purchased on credit in the last 3 months w hh11 q17: how much has your household purchased on credit in the last 3 months w hh11 q17: how much has your household purchased on credit in the last 3 months w 1576 2404 9999999999 165000310.199 1274186514.794 hh11 q18a:the last time you bought something on credit what did you buy - first? hh11 q18a:the last time you bought something on credit what did you buy - first? hh11 q18a:the last time you bought something on credit what did you buy - first? hh11 q18a:the last time you bought something on credit what did you buy - first? hh11 q18a:the last time you bought something on credit what did you buy - first? 1576 2404 1 basic food needs 2 basic supplies (batteries, paraffin, etc) 3 livestock 4 livestock production 5 agricultural production 6 household asset 7 cell phone airtime 8 business (not livestock or agriculture) 9 education expenses 10 health expenses 97 other 98 dk/can't remember Sysmiss hh11 q18b:the last time you bought something on credit what did you buy - second hh11 q18b:the last time you bought something on credit what did you buy - second hh11 q18b:the last time you bought something on credit what did you buy - second hh11 q18b:the last time you bought something on credit what did you buy - second hh11 q18b:the last time you bought something on credit what did you buy - second 739 3241 1 basic food needs 2 basic supplies (batteries, paraffin, etc) 3 livestock 4 livestock production 5 agricultural production 6 household asset 7 cell phone airtime 8 business (not livestock or agriculture) 9 education expenses 10 health expenses 97 other 98 dk/can't remember Sysmiss hh11 q18c:the last time you bought something on credit what did you buy - third? hh11 q18c:the last time you bought something on credit what did you buy - third? hh11 q18c:the last time you bought something on credit what did you buy - third? hh11 q18c:the last time you bought something on credit what did you buy - third? hh11 q18c:the last time you bought something on credit what did you buy - third? 89 3891 1 basic food needs 2 basic supplies (batteries, paraffin, etc) 3 livestock 4 livestock production 5 agricultural production 6 household asset 7 cell phone airtime 8 business (not livestock or agriculture) 9 education expenses 10 health expenses 97 other 98 dk/can't remember Sysmiss hh11 q19: how much do you currently owe (amount outstanding)? - ugx hh11 q19: how much do you currently owe (amount outstanding)? - ugx hh11 q19: how much do you currently owe (amount outstanding)? - ugx hh11 q19: how much do you currently owe (amount outstanding)? - ugx hh11 q19: how much do you currently owe (amount outstanding)? - ugx 1576 2404 9999999999 329961924.523 1786796939.769 hh12 q1a: if the household has received any cash help from any other households hh12 q1a: if the household has received any cash help from any other households hh12 q1a: if the household has received any cash help from any other households hh12 q1a: if the household has received any cash help from any other households hh12 q1a: if the household has received any cash help from any other households 3980 1 yes 2 no 97 others 98 dk/na hh12 q1b:total value received for any cash help from any other households as a g hh12 q1b:total value received for any cash help from any other households as a g hh12 q1b:total value received for any cash help from any other households as a g hh12 q1b:total value received for any cash help from any other households as a g hh12 q1b:total value received for any cash help from any other households as a g 875 3105 100 9999999999 22904222.283 477815640.591 hh12 q2a: if the household has received any food (or any other kind of non-cash hh12 q2a: if the household has received any food (or any other kind of non-cash hh12 q2a: if the household has received any food (or any other kind of non-cash hh12 q2a: if the household has received any food (or any other kind of non-cash hh12 q2a: if the household has received any food (or any other kind of non-cash 3980 1 yes 2 no 98 dk/na hh12 q2b:total value received for any food (or any other kind of non-cash assist hh12 q2b:total value received for any food (or any other kind of non-cash assist hh12 q2b:total value received for any food (or any other kind of non-cash assist hh12 q2b:total value received for any food (or any other kind of non-cash assist hh12 q2b:total value received for any food (or any other kind of non-cash assist 1450 2530 300 800000 26030.586 52483.431 hh12 q3a: if the household has received any cash aid from government agencies as hh12 q3a: if the household has received any cash aid from government agencies as hh12 q3a: if the household has received any cash aid from government agencies as hh12 q3a: if the household has received any cash aid from government agencies as hh12 q3a: if the household has received any cash aid from government agencies as 3980 1 yes 2 no 98 dk/na hh12 q3b:total value received for any cash aid from government agencies as a gif hh12 q3b:total value received for any cash aid from government agencies as a gif hh12 q3b:total value received for any cash aid from government agencies as a gif hh12 q3b:total value received for any cash aid from government agencies as a gif hh12 q3b:total value received for any cash aid from government agencies as a gif 29 3951 2000 9999999999 344961172.379 1856927701.297 hh12 q4a: if the household has received any food (or any other kind of non-cash hh12 q4a: if the household has received any food (or any other kind of non-cash hh12 q4a: if the household has received any food (or any other kind of non-cash hh12 q4a: if the household has received any food (or any other kind of non-cash hh12 q4a: if the household has received any food (or any other kind of non-cash 3980 1 yes 2 no 98 dk/na hh12 q4b:total value received for any food (or any other kind of non-cash assis hh12 q4b:total value received for any food (or any other kind of non-cash assis hh12 q4b:total value received for any food (or any other kind of non-cash assis hh12 q4b:total value received for any food (or any other kind of non-cash assis hh12 q4b:total value received for any food (or any other kind of non-cash assis 67 3913 2000 9999999999 149321070.134 1221686097.361 hh12 q5a: if the household has received any cash aid from ngos or religious orga hh12 q5a: if the household has received any cash aid from ngos or religious orga hh12 q5a: if the household has received any cash aid from ngos or religious orga hh12 q5a: if the household has received any cash aid from ngos or religious orga hh12 q5a: if the household has received any cash aid from ngos or religious orga 3980 1 yes 2 no 98 dk/na hh12 q5b:total value received for any cash aid from ngos or religious organizati hh12 q5b:total value received for any cash aid from ngos or religious organizati hh12 q5b:total value received for any cash aid from ngos or religious organizati hh12 q5b:total value received for any cash aid from ngos or religious organizati hh12 q5b:total value received for any cash aid from ngos or religious organizati 44 3936 1500 9999999999 227309011.341 1507551126.279 hh12 q6a: if the household has received any food (or any other kind of non-cash hh12 q6a: if the household has received any food (or any other kind of non-cash hh12 q6a: if the household has received any food (or any other kind of non-cash hh12 q6a: if the household has received any food (or any other kind of non-cash hh12 q6a: if the household has received any food (or any other kind of non-cash 3980 1 yes 2 no 98 dk/na hh12 q6b: total value received for any food (or any other kind of non-cash assi hh12 q6b: total value received for any food (or any other kind of non-cash assi hh12 q6b: total value received for any food (or any other kind of non-cash assi hh12 q6b: total value received for any food (or any other kind of non-cash assi hh12 q6b: total value received for any food (or any other kind of non-cash assi 277 3703 1000 9999999999 36139196.386 600839471.491 h12 q7a: in the past 3 months has your household given any cash help to any othe h12 q7a: in the past 3 months has your household given any cash help to any othe h12 q7a: in the past 3 months has your household given any cash help to any othe h12 q7a: in the past 3 months has your household given any cash help to any othe h12 q7a: in the past 3 months has your household given any cash help to any othe 3980 1 yes 2 no 98 dk/na h12 q7b: what was the total value of this transfer in the last 3 months? h12 q7b: what was the total value of this transfer in the last 3 months? h12 q7b: what was the total value of this transfer in the last 3 months? h12 q7b: what was the total value of this transfer in the last 3 months? h12 q7b: what was the total value of this transfer in the last 3 months? 575 3405 300 9999999999 34819402.083 589251696.058 hh12 q8a:in the past 3 months has your household given any food (or any other ki hh12 q8a:in the past 3 months has your household given any food (or any other ki hh12 q8a:in the past 3 months has your household given any food (or any other ki hh12 q8a:in the past 3 months has your household given any food (or any other ki hh12 q8a:in the past 3 months has your household given any food (or any other ki 3980 1 yes 2 no 98 dk/na hh12 q8b:what was the total value of this transfer in the last 3 months? hh12 q8b:what was the total value of this transfer in the last 3 months? hh12 q8b:what was the total value of this transfer in the last 3 months? hh12 q8b:what was the total value of this transfer in the last 3 months? hh12 q8b:what was the total value of this transfer in the last 3 months? 1249 2731 200 9999999999 40054602.678 631692471.812 hh13 q1:in the past 30 days, was there ever no food to eat of any kind in your h hh13 q1:in the past 30 days, was there ever no food to eat of any kind in your h hh13 q1:in the past 30 days, was there ever no food to eat of any kind in your h hh13 q1:in the past 30 days, was there ever no food to eat of any kind in your h hh13 q1:in the past 30 days, was there ever no food to eat of any kind in your h 3980 1 yes 2 no 98 hh13 q2: how often did this happen in the past 30 days ? hh13 q2: how often did this happen in the past 30 days ? hh13 q2: how often did this happen in the past 30 days ? hh13 q2: how often did this happen in the past 30 days ? hh13 q2: how often did this happen in the past 30 days ? 2119 1861 1 rarely (1 – 2 days) 2 sometimes (3 – 10 days) 3 often (more than 10 days) 98 Sysmiss hh13 q3:in the past 30 days, did you or any household member go to sleep at nigh hh13 q3:in the past 30 days, did you or any household member go to sleep at nigh hh13 q3:in the past 30 days, did you or any household member go to sleep at nigh hh13 q3:in the past 30 days, did you or any household member go to sleep at nigh hh13 q3:in the past 30 days, did you or any household member go to sleep at nigh 3980 1 yes 2 no 98 dk/na hh13 q4: how often did this happen in the past 30 days? hh13 q4: how often did this happen in the past 30 days? hh13 q4: how often did this happen in the past 30 days? hh13 q4: how often did this happen in the past 30 days? hh13 q4: how often did this happen in the past 30 days? 2116 1864 1 rarely (1 – 2 days) 2 sometimes (3 – 10 days) 3 often (more than 10 days) 98 dk/na Sysmiss hh13 q5:in the past 30 days, did you or any household member go a whole day and hh13 q5:in the past 30 days, did you or any household member go a whole day and hh13 q5:in the past 30 days, did you or any household member go a whole day and hh13 q5:in the past 30 days, did you or any household member go a whole day and hh13 q5:in the past 30 days, did you or any household member go a whole day and 3980 1 yes 2 no 98 dk/na hh13 q6:how often did this happen in the past 30 days? hh13 q6:how often did this happen in the past 30 days? hh13 q6:how often did this happen in the past 30 days? hh13 q6:how often did this happen in the past 30 days? hh13 q6:how often did this happen in the past 30 days? 1093 2887 1 rarely (1 – 2 days) 2 sometimes (3 – 10 days) 3 often (more than 10 days) 98 dk/na Sysmiss household members - male adults household members - male adults household members - male adults household members - male adults household members - male adults 3980 1 2 3 4 5 6 7 8 11 household members - female adults household members - female adults household members - female adults household members - female adults household members - female adults 3980 1 2 3 4 5 6 7 10 household members - male children household members - male children household members - male children household members - male children household members - male children 3980 1 2 3 4 5 6 7 8 9 11 household members - female children household members - female children household members - female children household members - female children household members - female children 3980 1 2 3 4 5 6 7 8 9 visitors - male adults visitors - male adults visitors - male adults visitors - male adults visitors - male adults 3980 1 2 3 4 5 6 7 8 10 visitors - female adults visitors - female adults visitors - female adults visitors - female adults visitors - female adults 3980 1 2 3 4 5 6 7 9 13 visitors - male children visitors - male children visitors - male children visitors - male children visitors - male children 3980 1 2 3 4 5 6 7 15 visitors - female children visitors - female children visitors - female children visitors - female children visitors - female children 3980 22 0.179 0.752 hh15 q1 were you aware of an exercise carried out in this village where all peop hh15 q1 were you aware of an exercise carried out in this village where all peop hh15 q1 were you aware of an exercise carried out in this village where all peop hh15 q1 were you aware of an exercise carried out in this village where all peop hh15 q1 were you aware of an exercise carried out in this village where all peop 3980 1 yes 2 no 98 dk/na hh15 q2 were all members of this household registered during that exercise? hh15 q2 were all members of this household registered during that exercise? hh15 q2 were all members of this household registered during that exercise? hh15 q2 were all members of this household registered during that exercise? hh15 q2 were all members of this household registered during that exercise? 3249 731 1 yes 2 no, no household members were registered 3 no, some household members were not registered 4 don’t know 98 Sysmiss hh15 q3 why weren’t all members of this household registered? hh15 q3 why weren’t all members of this household registered? hh15 q3 why weren’t all members of this household registered? hh15 q3 why weren’t all members of this household registered? hh15 q3 why weren’t all members of this household registered? 181 3799 1 some members of the household were not present at the time of the births registration 2 all members of the household were not present at the time of registration 3 some households member refused to be registered 4 all household refused to be registered 5 births registration people did not come to this household 6 some members were not member of the household when registration happened 97 other 98 dk/can't remember Sysmiss hh15 q3 why weren’t all members of this household registered - other? hh15 q3 why weren’t all members of this household registered - other? hh15 q3 why weren’t all members of this household registered - other? hh15 q3 why weren’t all members of this household registered - other? hh15 q3 why weren’t all members of this household registered - other? 17 AM ALONE BIRTH REGISTRATION PEOPLE WERE REGISTERING CHILDREN 5YRS BEL CHOOSE ONLY YOUNG CHILD DO NOT KNOW I DO NOT KNOW NOT BONE NOT YET BORN NOT YET BOUGHT ONLY CHILDREN WERE REGISTERED SOME OF MY CHOLDREN WERE AT SCHOOL (BOARDING) THE REGISTRATION REQUIRED A SPECIFIC AGE THEY SAID FORMS WERE FINISHED WANTED ONLY CHILDREN WHO WERE ABOVE 5 YEARS OLD WE HAD A LOT OF PROBLEMS AND COULD NOT REMEMBER REGISTRATION hh15 q4:when was this household registered? hh15 q4:when was this household registered? hh15 q4:when was this household registered? hh15 q4:when was this household registered? hh15 q4:when was this household registered? 3042 938 12008 989998 396586.412 450472.684 hh15 q5:have any members of this household received a birth certificate? hh15 q5:have any members of this household received a birth certificate? hh15 q5:have any members of this household received a birth certificate? hh15 q5:have any members of this household received a birth certificate? hh15 q5:have any members of this household received a birth certificate? 3231 749 1 yes, all 2 yes, some 3 no 98 dk/can't remember Sysmiss hh15 q6 :overall, how would you describe your treatment by the people conducting hh15 q6 :overall, how would you describe your treatment by the people conducting hh15 q6 :overall, how would you describe your treatment by the people conducting hh15 q6 :overall, how would you describe your treatment by the people conducting hh15 q6 :overall, how would you describe your treatment by the people conducting 3249 731 1 good 2 satisfactory 3 not good 98 dk/can't remember Sysmiss hh15 q7:are you aware of a government programme operating in this area called th hh15 q7:are you aware of a government programme operating in this area called th hh15 q7:are you aware of a government programme operating in this area called th hh15 q7:are you aware of a government programme operating in this area called th hh15 q7:are you aware of a government programme operating in this area called th 3980 1 yes 2 no 98 dk/can't remember hh15 q8:what was the main way you were informed about the programme? hh15 q8:what was the main way you were informed about the programme? hh15 q8:what was the main way you were informed about the programme? hh15 q8:what was the main way you were informed about the programme? hh15 q8:what was the main way you were informed about the programme? 2763 1217 1 people from sage came to this village to inform us about it 2 public meeting in this village 3 public meeting outside of this village 4 village chairperson (lc1) told us individually 5 elders 6 word of mouth 7 births registration notifier 8 radio 97 other 98 dk/can't remember Sysmiss hh15 q8:what was the main way you were informed about the programme - other? hh15 q8:what was the main way you were informed about the programme - other? hh15 q8:what was the main way you were informed about the programme - other? hh15 q8:what was the main way you were informed about the programme - other? hh15 q8:what was the main way you were informed about the programme - other? 49 ANNOUNCED FROM CHURCH ANOTHER VILLAGE ANOTHER VILLAGE OPERI AT A BURIAL PLACE AT BURIAL PLACE AT SCHOOL AT THE DISTRICT BENEFICIARY OF SAGE CDO'S OFFICE CHURCH COMMUNITY BASED OFFIC COUNCILLOR FROM BENEFICIARY OF S GOMBOLALA COUNCILOR IN CHURCH LC 3 CHAIRMAN LC5 OF APAC TO ME ABO LOCAL CHIEF 3 MAYOR OF ANDUKU TOWN MEETING AT THE TOWN C MEGA PHONE MEGAPHONE PARISH CHIEF PEOPLE PEOPLE IN THE VILLAGE PEOPLE IN VILLAGES REFUSED TO ANSWER SAGE TRAINING SUB COUNTY SUB COUNTY CHIEF SUBCOUNTY SUBCOUNTY /GOMBOLALA TOWN COUNCIL VICE CHAIRPERSON hh15 q9:were the program's objectives explained to you? hh15 q9:were the program's objectives explained to you? hh15 q9:were the program's objectives explained to you? hh15 q9:were the program's objectives explained to you? hh15 q9:were the program's objectives explained to you? 2763 1217 1 yes 2 no 98 dk/can't remember Sysmiss hh15 q10:do you know how households will be selected to be beneficiaries by the hh15 q10:do you know how households will be selected to be beneficiaries by the hh15 q10:do you know how households will be selected to be beneficiaries by the hh15 q10:do you know how households will be selected to be beneficiaries by the hh15 q10:do you know how households will be selected to be beneficiaries by the 2763 1217 1 yes 2 no 98 dk/can't remember Sysmiss hh15 q11:how? hh15 q11:how? hh15 q11:how? hh15 q11:how? hh15 q11:how? 1125 2855 1 appropriate answer 2 inappropriate answer 98 Sysmiss hh15 q12: do you feel that these selection criteria are fair? hh15 q12: do you feel that these selection criteria are fair? hh15 q12: do you feel that these selection criteria are fair? hh15 q12: do you feel that these selection criteria are fair? hh15 q12: do you feel that these selection criteria are fair? 1125 2855 1 yes 2 no 3 don’t know Sysmiss hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? 87 3893 1 doesn’t target the poorest people 2 some needy households are missed 3 wealthier households also get money 4 too few households are enrolled 5 the community should select the beneficiaries 6 we don’t understand the eligibility criteria 97 other 98 dk/can't remember Sysmiss hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? 51 3929 1 doesn’t target the poorest people 2 some needy households are missed 3 wealthier households also get money 4 too few households are enrolled 5 the community should select the beneficiaries 6 we don’t understand the eligibility criteria 97 other 98 dk/can't remember Sysmiss hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? 32 3948 1 doesn’t target the poorest people 2 some needy households are missed 3 wealthier households also get money 4 too few households are enrolled 5 the community should select the beneficiaries 6 we don’t understand the eligibility criteria 97 other 98 dk/can't remember Sysmiss hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? 10 3970 1 doesn’t target the poorest people 2 some needy households are missed 3 wealthier households also get money 4 too few households are enrolled 5 the community should select the beneficiaries 6 we don’t understand the eligibility criteria 97 other 98 dk/can't remember Sysmiss hh15 q13:why not - other? hh15 q13:why not - other? hh15 q13:why not - other? hh15 q13:why not - other? hh15 q13:why not - other? 1 T hh15 q14 :do you know what the value of the transfer is? hh15 q14 :do you know what the value of the transfer is? hh15 q14 :do you know what the value of the transfer is? hh15 q14 :do you know what the value of the transfer is? hh15 q14 :do you know what the value of the transfer is? 2763 1217 1 ugx 23,000 2 other amount 3 don’t know 98 dk/can't remember Sysmiss hh15 q15:how often is the transfer paid? hh15 q15:how often is the transfer paid? hh15 q15:how often is the transfer paid? hh15 q15:how often is the transfer paid? hh15 q15:how often is the transfer paid? 2763 1217 1 once a month 2 other payment period 3 don’t know Sysmiss hh15 q16:do you know how the payment is made? hh15 q16:do you know how the payment is made? hh15 q16:do you know how the payment is made? hh15 q16:do you know how the payment is made? hh15 q16:do you know how the payment is made? 2763 1217 1 payment transferred onto mtn card which can then be converted to cash 2 other answer 3 don’t know Sysmiss hh15 q17:did your household spend any money during any part of the births regist hh15 q17:did your household spend any money during any part of the births regist hh15 q17:did your household spend any money during any part of the births regist hh15 q17:did your household spend any money during any part of the births regist hh15 q17:did your household spend any money during any part of the births regist 2763 1217 1 yes 2 no 98 dk/can't remember Sysmiss hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin 78 3902 10000 1070.513 2449.124 hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin 83 3897 16000 662.651 2307.343 hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin 83 3897 40000 1018.072 4536.065 hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin 7 FOR THE WELFARE OF THE CHURCH L.C/MEN I REGISTRATION OF ELDERS REGISTRATION OF ELDERS (BENEFICIARIES) TAKING PHOTOGRAPHS hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin 9 3971 5000 1333.333 1581.139 hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 83 3897 35 1.06 3.98 hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 83 3897 1 3 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 81 3899 1 2 3 4 5 8 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 83 3897 1 2 3 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 82 3898 1 2 4 5 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 83 3897 1 2 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 83 3897 1 5 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 83 3897 1 2 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 5 3975 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 2 3978 1 Sysmiss hh15 q20:were your household selected to be a beneficiary of sage? hh15 q20:were your household selected to be a beneficiary of sage? hh15 q20:were your household selected to be a beneficiary of sage? hh15 q20:were your household selected to be a beneficiary of sage? hh15 q20:were your household selected to be a beneficiary of sage? 2763 1217 1 yes 2 no 3 don’t know Sysmiss hh15 q21:has your household received a mtn card from sage programme? hh15 q21:has your household received a mtn card from sage programme? hh15 q21:has your household received a mtn card from sage programme? hh15 q21:has your household received a mtn card from sage programme? hh15 q21:has your household received a mtn card from sage programme? 607 3373 1 yes 2 no Sysmiss hh15 q22:have you attended a demonstration of how the payment is made? hh15 q22:have you attended a demonstration of how the payment is made? hh15 q22:have you attended a demonstration of how the payment is made? hh15 q22:have you attended a demonstration of how the payment is made? hh15 q22:have you attended a demonstration of how the payment is made? 607 3373 1 yes 2 no Sysmiss hh15 q23:where did the demonstration take place? hh15 q23:where did the demonstration take place? hh15 q23:where did the demonstration take place? hh15 q23:where did the demonstration take place? hh15 q23:where did the demonstration take place? 62 3918 1 in this village 2 in another village in this parish 3 in another village in another parish 4 at the sub-county centre 5 further away 98 Sysmiss hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme 2763 1217 1 village chairperson (lc1) 2 parish chief 3 sub-county chief 4 sage staff member 5 sage head office 6 births registration notifier 97 other 98 dk/can't remember Sysmiss hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme 104 AREA COUNCELLOR CDO CDO'S OFFICE COMMUNITY DEVELOPMENT OFFICER COUNCELLOR COUNCELLOR AT DISTRICT COUNCELOR COUNCILLOR COUNCILOR DISTRICT DEVELOPMENT OFFICE DISTRICT OFFICER DK DNT KNOW DO NOT KNOW DOESN'T NOT MIND DOES`NT KNOW WHO TO CONSULT DON'T KNOW DONT KNOW DONT KNOW ANYBODY DON`T KNOW ELDER ELDERLY CHIEF ELDERS ELDERS REPRESENTATIVE FATHER FRIENDS GOD INTERVIEWER LC 3 LC3 LC5 CHAIRMAN LCI LEADER OF ELDERS IN THE COMMUNITY LOCAL COUNCIL 3 MTN MY GRAND SON NEIGHBOURS NEIGHBOUS NEIHGBOURS NO BODY IS THERE FROM SAGE WE CAN GO TO NO WHERE NOBODY NONE PDC PROBATIN OFFICER PROGRAMME CORDINATOR RDC STEP SON STILL UNKNOWN TO THEM THEY WILL FIND OUT MORE THEY DON`T KNOW WHERE TO START TOWN AGENT TOWN COUNCIL UNLESS CONFERRED THAT THE PERSON IS RESPONSIBLE VILLAGE PROGRAMME CORDINATOR WOMEN LEADER hh15 q25: have you ever made an appeal or raised a complaint with or about the p hh15 q25: have you ever made an appeal or raised a complaint with or about the p hh15 q25: have you ever made an appeal or raised a complaint with or about the p hh15 q25: have you ever made an appeal or raised a complaint with or about the p hh15 q25: have you ever made an appeal or raised a complaint with or about the p 2763 1217 1 yes 2 no 98 dk/can't remember Sysmiss hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? 179 3801 1 village chairperson (lc1) 2 parish chief 3 sub-county chief 4 sage staff member 5 sage head office 6 births registration notifier 97 other 98 dk/can't remember Sysmiss hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? 8 CDO ELDER HUSBAND LC3 MEMBER OF PALIAMENT NEIGHBOURS SAGE MATIFIER VILLAGE MEMBERS hh15 q27:did you receive a response to your appeal/complaint from the programme? hh15 q27:did you receive a response to your appeal/complaint from the programme? hh15 q27:did you receive a response to your appeal/complaint from the programme? hh15 q27:did you receive a response to your appeal/complaint from the programme? hh15 q27:did you receive a response to your appeal/complaint from the programme? 179 3801 1 yes 2 only made appeal/complaint very recently 3 have not had a response 98 dk/can't remember Sysmiss hh15 q28:overall, how would you describe your treatment by the sage programme? hh15 q28:overall, how would you describe your treatment by the sage programme? hh15 q28:overall, how would you describe your treatment by the sage programme? hh15 q28:overall, how would you describe your treatment by the sage programme? hh15 q28:overall, how would you describe your treatment by the sage programme? 179 3801 1 very good 2 quite good 3 neither good nor bad 4 quite bad 5 very bad 98 dk/can't remember Sysmiss hh15 q29 would you say there was any shame associated with being enrolled in th hh15 q29 would you say there was any shame associated with being enrolled in th hh15 q29 would you say there was any shame associated with being enrolled in th hh15 q29 would you say there was any shame associated with being enrolled in th hh15 q29 would you say there was any shame associated with being enrolled in th 2763 1217 1 yes 2 no 98 dk/can't remember Sysmiss hh15 q30 would you say there has been any tensions or insecurity caused by the hh15 q30 would you say there has been any tensions or insecurity caused by the hh15 q30 would you say there has been any tensions or insecurity caused by the hh15 q30 would you say there has been any tensions or insecurity caused by the hh15 q30 would you say there has been any tensions or insecurity caused by the 2763 1217 1 yes 2 no 98 dk/can't remember Sysmiss 3980 indicator of each last matching case as primary indicator of each last matching case as primary indicator of each last matching case as primary indicator of each last matching case as primary indicator of each last matching case as primary 3980 duplicate case 1 primary case 3980 1 3980 1 3980 1 3980 1 3980 1 3980 1 3980 1 hh10_q3ii==loss of productive household member (death) hh10_q3ii==loss of productive household member (death) hh10_q3ii==loss of productive household member (death) hh10_q3ii==loss of productive household member (death) hh10_q3ii==loss of productive household member (death) 1502 2478 1 Sysmiss hh10_q3ii==loss of productive household member (leaving hh) hh10_q3ii==loss of productive household member (leaving hh) hh10_q3ii==loss of productive household member (leaving hh) hh10_q3ii==loss of productive household member (leaving hh) hh10_q3ii==loss of productive household member (leaving hh) 1502 2478 1 Sysmiss hh10_q3ii==illness/injury of household member hh10_q3ii==illness/injury of household member hh10_q3ii==illness/injury of household member hh10_q3ii==illness/injury of household member hh10_q3ii==illness/injury of household member 1502 2478 1 Sysmiss hh10_q3ii==loss of hhs own animals hh10_q3ii==loss of hhs own animals hh10_q3ii==loss of hhs own animals hh10_q3ii==loss of hhs own animals hh10_q3ii==loss of hhs own animals 1502 2478 1 Sysmiss hh10_q3ii==loss of hhs own land or water resources hh10_q3ii==loss of hhs own land or water resources hh10_q3ii==loss of hhs own land or water resources hh10_q3ii==loss of hhs own land or water resources hh10_q3ii==loss of hhs own land or water resources 1502 2478 1 Sysmiss hh10_q3ii==loss of access to land, water or other natural resources for producti hh10_q3ii==loss of access to land, water or other natural resources for producti hh10_q3ii==loss of access to land, water or other natural resources for producti hh10_q3ii==loss of access to land, water or other natural resources for producti hh10_q3ii==loss of access to land, water or other natural resources for producti 1502 2478 1 Sysmiss hh10_q3ii==loss of other productive assets (tools, machinery etc) hh10_q3ii==loss of other productive assets (tools, machinery etc) hh10_q3ii==loss of other productive assets (tools, machinery etc) hh10_q3ii==loss of other productive assets (tools, machinery etc) hh10_q3ii==loss of other productive assets (tools, machinery etc) 1502 2478 1 Sysmiss hh10_q3ii==less income or loss of job hh10_q3ii==less income or loss of job hh10_q3ii==less income or loss of job hh10_q3ii==less income or loss of job hh10_q3ii==less income or loss of job 1502 2478 1 Sysmiss hh10_q3ii==less income from animal husbandry, fishing or farming – lower volum hh10_q3ii==less income from animal husbandry, fishing or farming – lower volum hh10_q3ii==less income from animal husbandry, fishing or farming – lower volum hh10_q3ii==less income from animal husbandry, fishing or farming – lower volum hh10_q3ii==less income from animal husbandry, fishing or farming – lower volum 1502 2478 1 Sysmiss hh10_q3ii==less income from animal husbandry, fishing or farming – higher inpu hh10_q3ii==less income from animal husbandry, fishing or farming – higher inpu hh10_q3ii==less income from animal husbandry, fishing or farming – higher inpu hh10_q3ii==less income from animal husbandry, fishing or farming – higher inpu hh10_q3ii==less income from animal husbandry, fishing or farming – higher inpu 1502 2478 1 Sysmiss hh10_q3ii==less income from animal husbandry, - lower volume of sales hh10_q3ii==less income from animal husbandry, - lower volume of sales hh10_q3ii==less income from animal husbandry, - lower volume of sales hh10_q3ii==less income from animal husbandry, - lower volume of sales hh10_q3ii==less income from animal husbandry, - lower volume of sales 1502 2478 1 Sysmiss hh10_q3ii==less income from other houseold business hh10_q3ii==less income from other houseold business hh10_q3ii==less income from other houseold business hh10_q3ii==less income from other houseold business hh10_q3ii==less income from other houseold business 1502 2478 1 Sysmiss hh10_q3ii==increased number of dependents hh10_q3ii==increased number of dependents hh10_q3ii==increased number of dependents hh10_q3ii==increased number of dependents hh10_q3ii==increased number of dependents 1502 2478 1 Sysmiss hh10_q3ii==large expenditure due to ill health or death of hh member (inc funera hh10_q3ii==large expenditure due to ill health or death of hh member (inc funera hh10_q3ii==large expenditure due to ill health or death of hh member (inc funera hh10_q3ii==large expenditure due to ill health or death of hh member (inc funera hh10_q3ii==large expenditure due to ill health or death of hh member (inc funera 1502 2478 1 Sysmiss hh10_q3ii==large expenditure on social obligations hh10_q3ii==large expenditure on social obligations hh10_q3ii==large expenditure on social obligations hh10_q3ii==large expenditure on social obligations hh10_q3ii==large expenditure on social obligations 1502 2478 1 Sysmiss hh10_q3ii==increased cost of food hh10_q3ii==increased cost of food hh10_q3ii==increased cost of food hh10_q3ii==increased cost of food hh10_q3ii==increased cost of food 1502 2478 1 Sysmiss hh10_q3ii==increased cost of fuels, transport or other necessities hh10_q3ii==increased cost of fuels, transport or other necessities hh10_q3ii==increased cost of fuels, transport or other necessities hh10_q3ii==increased cost of fuels, transport or other necessities hh10_q3ii==increased cost of fuels, transport or other necessities 1502 2478 1 Sysmiss hh10_q3ii==debt repayments hh10_q3ii==debt repayments hh10_q3ii==debt repayments hh10_q3ii==debt repayments hh10_q3ii==debt repayments 1502 2478 1 Sysmiss hh10_q3ii==loss of aid (ex. ngo programme finishing) hh10_q3ii==loss of aid (ex. ngo programme finishing) hh10_q3ii==loss of aid (ex. ngo programme finishing) hh10_q3ii==loss of aid (ex. ngo programme finishing) hh10_q3ii==loss of aid (ex. ngo programme finishing) 1502 2478 1 Sysmiss hh10_q3ii==other hh10_q3ii==other hh10_q3ii==other hh10_q3ii==other hh10_q3ii==other 1502 2478 1 Sysmiss hh10_q3ii==98 hh10_q3ii==98 hh10_q3ii==98 hh10_q3ii==98 hh10_q3ii==98 1502 2478 1 Sysmiss 3980 1 hh10_q6a== loss of productive household member (death) hh10_q6a== loss of productive household member (death) hh10_q6a== loss of productive household member (death) hh10_q6a== loss of productive household member (death) hh10_q6a== loss of productive household member (death) 1759 2221 1 Sysmiss hh10_q6a== loss of productive household member (leaving hh) hh10_q6a== loss of productive household member (leaving hh) hh10_q6a== loss of productive household member (leaving hh) hh10_q6a== loss of productive household member (leaving hh) hh10_q6a== loss of productive household member (leaving hh) 1759 2221 1 Sysmiss hh10_q6a== illness/injury of household member hh10_q6a== illness/injury of household member hh10_q6a== illness/injury of household member hh10_q6a== illness/injury of household member hh10_q6a== illness/injury of household member 1759 2221 1 Sysmiss hh10_q6a==loss of (non-productive) household member (death) hh10_q6a==loss of (non-productive) household member (death) hh10_q6a==loss of (non-productive) household member (death) hh10_q6a==loss of (non-productive) household member (death) hh10_q6a==loss of (non-productive) household member (death) 1759 2221 1 Sysmiss hh10_q6a== loss of hhs own land or water resources hh10_q6a== loss of hhs own land or water resources hh10_q6a== loss of hhs own land or water resources hh10_q6a== loss of hhs own land or water resources hh10_q6a== loss of hhs own land or water resources 1759 2221 1 Sysmiss hh10_q6a== loss of access to land, water or other natural resources for producti hh10_q6a== loss of access to land, water or other natural resources for producti hh10_q6a== loss of access to land, water or other natural resources for producti hh10_q6a== loss of access to land, water or other natural resources for producti hh10_q6a== loss of access to land, water or other natural resources for producti 1759 2221 1 Sysmiss hh10_q6a== loss of other productive assets (tools, machinery etc) hh10_q6a== loss of other productive assets (tools, machinery etc) hh10_q6a== loss of other productive assets (tools, machinery etc) hh10_q6a== loss of other productive assets (tools, machinery etc) hh10_q6a== loss of other productive assets (tools, machinery etc) 1759 2221 1 Sysmiss hh10_q6a== less income or loss of job hh10_q6a== less income or loss of job hh10_q6a== less income or loss of job hh10_q6a== less income or loss of job hh10_q6a== less income or loss of job 1759 2221 1 Sysmiss hh10_q6a== less income from animal husbandry, fishing or farming – lower volum hh10_q6a== less income from animal husbandry, fishing or farming – lower volum hh10_q6a== less income from animal husbandry, fishing or farming – lower volum hh10_q6a== less income from animal husbandry, fishing or farming – lower volum hh10_q6a== less income from animal husbandry, fishing or farming – lower volum 1759 2221 1 Sysmiss hh10_q6a== less income from animal husbandry, fishing or farming – higher cost hh10_q6a== less income from animal husbandry, fishing or farming – higher cost hh10_q6a== less income from animal husbandry, fishing or farming – higher cost hh10_q6a== less income from animal husbandry, fishing or farming – higher cost hh10_q6a== less income from animal husbandry, fishing or farming – higher cost 1759 2221 1 Sysmiss hh10_q6a== less income from other household business hh10_q6a== less income from other household business hh10_q6a== less income from other household business hh10_q6a== less income from other household business hh10_q6a== less income from other household business 1759 2221 1 Sysmiss hh10_q6a== increased number of dependents hh10_q6a== increased number of dependents hh10_q6a== increased number of dependents hh10_q6a== increased number of dependents hh10_q6a== increased number of dependents 1759 2221 1 Sysmiss hh10_q6a== large expenditure due to ill health or death of hh member (inc funera hh10_q6a== large expenditure due to ill health or death of hh member (inc funera hh10_q6a== large expenditure due to ill health or death of hh member (inc funera hh10_q6a== large expenditure due to ill health or death of hh member (inc funera hh10_q6a== large expenditure due to ill health or death of hh member (inc funera 1759 2221 1 Sysmiss hh10_q6a== large expenditure on social obligations hh10_q6a== large expenditure on social obligations hh10_q6a== large expenditure on social obligations hh10_q6a== large expenditure on social obligations hh10_q6a== large expenditure on social obligations 1759 2221 1 Sysmiss hh10_q6a== increased cost of food hh10_q6a== increased cost of food hh10_q6a== increased cost of food hh10_q6a== increased cost of food hh10_q6a== increased cost of food 1759 2221 1 Sysmiss hh10_q6a== increased cost of fuels, transport or other necessities hh10_q6a== increased cost of fuels, transport or other necessities hh10_q6a== increased cost of fuels, transport or other necessities hh10_q6a== increased cost of fuels, transport or other necessities hh10_q6a== increased cost of fuels, transport or other necessities 1759 2221 1 Sysmiss hh10_q6a== debt repayments hh10_q6a== debt repayments hh10_q6a== debt repayments hh10_q6a== debt repayments hh10_q6a== debt repayments 1759 2221 1 Sysmiss hh10_q6a== loss of aid (ex. ngo programme finishing) hh10_q6a== loss of aid (ex. ngo programme finishing) hh10_q6a== loss of aid (ex. ngo programme finishing) hh10_q6a== loss of aid (ex. ngo programme finishing) hh10_q6a== loss of aid (ex. ngo programme finishing) 1759 2221 1 Sysmiss hh10_q6a== loss of hhs own animals hh10_q6a== loss of hhs own animals hh10_q6a== loss of hhs own animals hh10_q6a== loss of hhs own animals hh10_q6a== loss of hhs own animals 1759 2221 1 Sysmiss hh10_q6a== other (specify) hh10_q6a== other (specify) hh10_q6a== other (specify) hh10_q6a== other (specify) hh10_q6a== other (specify) 1759 2221 1 Sysmiss hh10_q6a==don't know/no response hh10_q6a==don't know/no response hh10_q6a==don't know/no response hh10_q6a==don't know/no response hh10_q6a==don't know/no response 1759 2221 1 Sysmiss hh10_q7a==mortgage assets hh10_q7a==mortgage assets hh10_q7a==mortgage assets hh10_q7a==mortgage assets hh10_q7a==mortgage assets 1759 2221 1 Sysmiss hh10_q7a==sell assets hh10_q7a==sell assets hh10_q7a==sell assets hh10_q7a==sell assets hh10_q7a==sell assets 1759 2221 1 Sysmiss hh10_q7a==sell livestock hh10_q7a==sell livestock hh10_q7a==sell livestock hh10_q7a==sell livestock hh10_q7a==sell livestock 1759 2221 1 Sysmiss hh10_q7a==use savings hh10_q7a==use savings hh10_q7a==use savings hh10_q7a==use savings hh10_q7a==use savings 1759 2221 1 Sysmiss hh10_q7a==withdraw children from school hh10_q7a==withdraw children from school hh10_q7a==withdraw children from school hh10_q7a==withdraw children from school hh10_q7a==withdraw children from school 1759 2221 1 Sysmiss hh10_q7a==sent children for wage employment hh10_q7a==sent children for wage employment hh10_q7a==sent children for wage employment hh10_q7a==sent children for wage employment hh10_q7a==sent children for wage employment 1759 2221 1 Sysmiss hh10_q7a==send children to live elsewhere hh10_q7a==send children to live elsewhere hh10_q7a==send children to live elsewhere hh10_q7a==send children to live elsewhere hh10_q7a==send children to live elsewhere 1759 2221 1 Sysmiss hh10_q7a==migration hh10_q7a==migration hh10_q7a==migration hh10_q7a==migration hh10_q7a==migration 1759 2221 1 Sysmiss hh10_q7a==formal borrowing hh10_q7a==formal borrowing hh10_q7a==formal borrowing hh10_q7a==formal borrowing hh10_q7a==formal borrowing 1759 2221 1 Sysmiss hh10_q7a==informal borrowing hh10_q7a==informal borrowing hh10_q7a==informal borrowing hh10_q7a==informal borrowing hh10_q7a==informal borrowing 1759 2221 1 Sysmiss hh10_q7a==reduce consumption hh10_q7a==reduce consumption hh10_q7a==reduce consumption hh10_q7a==reduce consumption hh10_q7a==reduce consumption 1759 2221 1 Sysmiss hh10_q7a==consume lower quality food/ less preferred food hh10_q7a==consume lower quality food/ less preferred food hh10_q7a==consume lower quality food/ less preferred food hh10_q7a==consume lower quality food/ less preferred food hh10_q7a==consume lower quality food/ less preferred food 1759 2221 1 Sysmiss hh10_q7a==help provided by relatives and friends hh10_q7a==help provided by relatives and friends hh10_q7a==help provided by relatives and friends hh10_q7a==help provided by relatives and friends hh10_q7a==help provided by relatives and friends 1759 2221 1 Sysmiss hh10_q7a==help provided from local governments hh10_q7a==help provided from local governments hh10_q7a==help provided from local governments hh10_q7a==help provided from local governments hh10_q7a==help provided from local governments 1759 2221 1 Sysmiss hh10_q7a==more wage employment hh10_q7a==more wage employment hh10_q7a==more wage employment hh10_q7a==more wage employment hh10_q7a==more wage employment 1759 2221 1 Sysmiss hh10_q7a==change crop choices to avoid bad weather or pest attack hh10_q7a==change crop choices to avoid bad weather or pest attack hh10_q7a==change crop choices to avoid bad weather or pest attack hh10_q7a==change crop choices to avoid bad weather or pest attack hh10_q7a==change crop choices to avoid bad weather or pest attack 1759 2221 1 Sysmiss hh10_q7a==work as self employed hh10_q7a==work as self employed hh10_q7a==work as self employed hh10_q7a==work as self employed hh10_q7a==work as self employed 1759 2221 1 Sysmiss hh10_q7a==increased agricultural labor supply hh10_q7a==increased agricultural labor supply hh10_q7a==increased agricultural labor supply hh10_q7a==increased agricultural labor supply hh10_q7a==increased agricultural labor supply 1759 2221 1 Sysmiss hh10_q7a==other hh10_q7a==other hh10_q7a==other hh10_q7a==other hh10_q7a==other 1759 2221 1 Sysmiss hh10_q7a==don't know/no response hh10_q7a==don't know/no response hh10_q7a==don't know/no response hh10_q7a==don't know/no response hh10_q7a==don't know/no response 1759 2221 1 Sysmiss Household owns land Household owns land Household owns land Household owns land Household owns land 3976 4 1 Sysmiss Acres of land owned Acres of land owned Acres of land owned Acres of land owned Acres of land owned 3551 429 580 4.111 11.365 Acres of land owned currently cultivated Acres of land owned currently cultivated Acres of land owned currently cultivated Acres of land owned currently cultivated Acres of land owned currently cultivated 3547 433 380 2.094 6.806 Acres of land owned rented out Acres of land owned rented out Acres of land owned rented out Acres of land owned rented out Acres of land owned rented out 3549 431 25 0.167 0.958 Acres of land not owned which is cultivated Acres of land not owned which is cultivated Acres of land not owned which is cultivated Acres of land not owned which is cultivated Acres of land not owned which is cultivated 954 3026 0.05 140 1.801 5.227 Household rents out land Household rents out land Household rents out land Household rents out land Household rents out land 3976 4 1 Sysmiss Household cultivates on land not owned Household cultivates on land not owned Household cultivates on land not owned Household cultivates on land not owned Household cultivates on land not owned 3976 4 1 Sysmiss Dwelling owned by the household Dwelling owned by the household Dwelling owned by the household Dwelling owned by the household Dwelling owned by the household 3975 5 1 Sysmiss Number of rooms in the household Number of rooms in the household Number of rooms in the household Number of rooms in the household Number of rooms in the household 3980 1 2 3 4 5 6 7 8 9 10 11 18 Electricity is main source of lighting Electricity is main source of lighting Electricity is main source of lighting Electricity is main source of lighting Electricity is main source of lighting 2465 1515 1 Sysmiss Charcoal/firewood is main source of cooking fuel Charcoal/firewood is main source of cooking fuel Charcoal/firewood is main source of cooking fuel Charcoal/firewood is main source of cooking fuel Charcoal/firewood is main source of cooking fuel 3973 7 1 Sysmiss Improved water source Improved water source Improved water source Improved water source Improved water source 3977 3 1 Sysmiss Improved sanitation facility (not incl. shared facilities) Improved sanitation facility (not incl. shared facilities) Improved sanitation facility (not incl. shared facilities) Improved sanitation facility (not incl. shared facilities) Improved sanitation facility (not incl. shared facilities) 3966 14 1 Sysmiss Improved sanitation facility (incl. shared facilities) Improved sanitation facility (incl. shared facilities) Improved sanitation facility (incl. shared facilities) Improved sanitation facility (incl. shared facilities) Improved sanitation facility (incl. shared facilities) 3966 14 1 Sysmiss Paraffin is main source of lighting Paraffin is main source of lighting Paraffin is main source of lighting Paraffin is main source of lighting Paraffin is main source of lighting 2465 1515 1 Sysmiss Battery torch/lantern is main source of lighting Battery torch/lantern is main source of lighting Battery torch/lantern is main source of lighting Battery torch/lantern is main source of lighting Battery torch/lantern is main source of lighting 2465 1515 1 Sysmiss Candle/tadooba is main source of lighting Candle/tadooba is main source of lighting Candle/tadooba is main source of lighting Candle/tadooba is main source of lighting Candle/tadooba is main source of lighting 2465 1515 1 Sysmiss Firewood is main source of lighting Firewood is main source of lighting Firewood is main source of lighting Firewood is main source of lighting Firewood is main source of lighting 2465 1515 1 Sysmiss Electricity is main source of cooking fuel Electricity is main source of cooking fuel Electricity is main source of cooking fuel Electricity is main source of cooking fuel Electricity is main source of cooking fuel 3973 7 1 Sysmiss Paraffin/kerosene is main source of cooking fuel Paraffin/kerosene is main source of cooking fuel Paraffin/kerosene is main source of cooking fuel Paraffin/kerosene is main source of cooking fuel Paraffin/kerosene is main source of cooking fuel 3973 7 1 Sysmiss Charcoal/firewood as main source of cooking fuel Charcoal/firewood as main source of cooking fuel Charcoal/firewood as main source of cooking fuel Charcoal/firewood as main source of cooking fuel Charcoal/firewood as main source of cooking fuel 3973 7 1 Sysmiss Gas is main source of cooking fuel Gas is main source of cooking fuel Gas is main source of cooking fuel Gas is main source of cooking fuel Gas is main source of cooking fuel 3973 7 1 Sysmiss Private connection to pipeline is main source of drinking water Private connection to pipeline is main source of drinking water Private connection to pipeline is main source of drinking water Private connection to pipeline is main source of drinking water Private connection to pipeline is main source of drinking water 3977 3 1 Sysmiss Public taps is main source of drinking water Public taps is main source of drinking water Public taps is main source of drinking water Public taps is main source of drinking water Public taps is main source of drinking water 3977 3 1 Sysmiss Borehole is main source of drinking water Borehole is main source of drinking water Borehole is main source of drinking water Borehole is main source of drinking water Borehole is main source of drinking water 3977 3 1 Sysmiss Protected spring/well Is main source of drinking water Protected spring/well Is main source of drinking water Protected spring/well Is main source of drinking water Protected spring/well Is main source of drinking water Protected spring/well Is main source of drinking water 3977 3 1 Sysmiss Vendor/tanker truck is main source of drinking water Vendor/tanker truck is main source of drinking water Vendor/tanker truck is main source of drinking water Vendor/tanker truck is main source of drinking water Vendor/tanker truck is main source of drinking water 3977 3 1 Sysmiss Gravity flow scheme is main source of drinking water Gravity flow scheme is main source of drinking water Gravity flow scheme is main source of drinking water Gravity flow scheme is main source of drinking water Gravity flow scheme is main source of drinking water 3977 3 1 Sysmiss Unproteced well is main source of drinking water Unproteced well is main source of drinking water Unproteced well is main source of drinking water Unproteced well is main source of drinking water Unproteced well is main source of drinking water 3977 3 1 Sysmiss Time to collect water in minutes (one way trip plus waiting time) Time to collect water in minutes (one way trip plus waiting time) Time to collect water in minutes (one way trip plus waiting time) Time to collect water in minutes (one way trip plus waiting time) Time to collect water in minutes (one way trip plus waiting time) 3878 102 600 68.183 68.501 Covered pit latrine (private or shared) Covered pit latrine (private or shared) Covered pit latrine (private or shared) Covered pit latrine (private or shared) Covered pit latrine (private or shared) 3966 14 1 Sysmiss VIP latrine (private or shared) VIP latrine (private or shared) VIP latrine (private or shared) VIP latrine (private or shared) VIP latrine (private or shared) 3966 14 1 Sysmiss Uncovered pit latrine Uncovered pit latrine Uncovered pit latrine Uncovered pit latrine Uncovered pit latrine 3966 14 1 Sysmiss Flush toilet (private or shared) Flush toilet (private or shared) Flush toilet (private or shared) Flush toilet (private or shared) Flush toilet (private or shared) 3966 14 1 Sysmiss Bush Bush Bush Bush Bush 3966 14 1 Sysmiss (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod 3980 SCG 1 VFSG actual treatment status actual treatment status actual treatment status actual treatment status actual treatment status 3902 78 Control 1 Treatment 2 Do not know SAGE Sysmiss baseline treatment group baseline treatment group baseline treatment group baseline treatment group baseline treatment group 3980 Control 1 Treatment Community ID Community ID Community ID Community ID Community ID 3980 1031030102 4151140802 3092489768.58 737263910.086 District District District District District 3980 APAC KABERAMAIDO KATAKWI KIBOGA KYENJOJO MOROTO NAKAPIRIPIRIT NEBBI County County County County County 3980 CHEKWII JONAM KABERAMAIDO KALAKI KIBOGA KWANIA MARUZI MATHENIKO MOROTO MUNICIPALITY MWENGE PADYERE PIAN TOROMA USUK Sub-County Sub-County Sub-County Sub-County Sub-County 3980 ABONGOMOLA ADUKU AKOKORO ALWA ANYARA APAC ATEGO BUGAAKI BUTIITI CHAWENTE CHEGERE ERUSSI IBUJE KABERAMAIDO TOWN COUNCIL KAKOMONGOLE KALAKI KAPEKE KAPUJAN KATOOKE TOWN COUNCIL KIBOGA TOWN COUNCIL KIGARAALE KISOJO KITOOKE KUCWINY KYARUSOZI KYENJOJO TOWN COUNCIL MAGORO NABILATUK NADUNGET NAMBEISO NDHEW NEBBI TOWN COUNCIL NYANTUNGO OCHERO OMODOI PAKWACH PAKWACH TOWN COUNCIL PANYANGO PANYIMUR RUPA SOUTH DIVISION TOROMA USUK Parish Parish Parish Parish Parish 3980 AAKUM ABALANG ABANY ABAR EAST ABAR WEST ABEDI ABINDU WARD ABOKO ABONGO ABULI ABWOKODIA ABWONG ACABA ACEGERETOLIM ACENLWORO ACHERER ACHUNGI ADEM ADOLO ADYEDA AGANGA AGONG AJAR AKALI AKERE AKETO AKOKORO AKURAO AKUYAM ALARO ALIDO ALIRA ALWOROCENG AMII- AMILO AMII-ABERIDWOGO AMOR WARD AMOR WEST AMORIGOGA AMUN AMUSIA ANGODINGODI ANWANGI ANYARA AORNGA APARISIA APIRE APOI APUUTON ASURET ATANA ATIGOLWOK ATIK ATONGTIDI ATOPI ATULE ATYAK AWILA AYABI AYAGO AYEOLYEC BAMUSUUTA WARD BARAHIIJA BARODILO BORO BUCUNI WARD BUNG BURARRO BUSANZA BUTARA BUTIITI BUZIBWEERA WARD BWENZI CAMPSWAHILI JUU CAMPSWAHILLICHIN CENTRAL WARD CHEGERE CHELEUKO ENJERU ETEKOBER FOREST WARD GANDA HAKATOMA HIMA ILEE ISANDARA JUKIA WARD KABAALE KADINYA KAFUNDA PARISH KAGAA KAGOBE KAIHURA KAKERE KAKINDO KALAKI KALOKWAMERI KAMENU KAMUDA KANYALAM KAPUJAN KASABA KASEGA KASENYI KATAMBALE KATARA WARD KAYEERA KIBIRA KIBOGA TOWN WARD KIDILANI KIGOYERA KIGUNDU KIHUMIRO KIJUMA KIKODA KINOGERO PARISH KIRONGO WARD KIRULUMBA WARD KISOJO KITONGOLE KITONYA KIVUJE KOKORIO KORITOK KORYAMO KOTHIKE KUNGU KYABAGONZA KYABARANGA KYAKATWIRE KYAMITARA KYAMUGENYI KYAMUTASA KYANYABONGO WARD KYAYIMBA KYONGERA LOBODEGI LOBUNEIT LOKAALA LOPUTUK LOTIRIR MABAALE MAGORO MAJENGO MIRAMBI MITOMA MOGOTH MORUANGIBUIN MUKALE MUKUNYU MWARO WARD MYERI PARISH NABOLITH NADUNGET NAITAKWAE NAKADELI NAKOBEKOBE NAMRWODO WARD NAMTHIN WARD NATOPOJO NEBBI HILL WARD NSINDE NTOMA NYACARA WARD NYAIBANDA NYAKAGEI NYAKISI PARISH NYAMABUGA OGWIL OGWOLO OLAGO OLOLANGO OLYEJO OMID OMINYA OMWIBALE ONGEMA ONGICIA ONGOCENG OPETA ORIMAI OWEKO OWINY PACEGO PACHAKA PADOLO PAJUR PAKIA PALATAU PAMINYA LOWER PAMINYA UPPER PAMITU PAMORA UPPER PAROKETO PAYERA POKWERO PUNUATAR PUPU PUVUNGU CENTRAL PUVUNGU WEST RAMOGI RUBANGO RUHOKO RUPA RWAITENGYA RWAMUKOORA SWAGERE TAROGALI TEBOKE TEI-ORO THATHA WARD TOKORA TOROMA USUK VURR Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse 3980 1.535 53.398 17.601 7.91 Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse 3980 1.389 42.718 17.509 7.779 Village Village Village Village Village 3980 1 377 187.178 109.613 household id household id household id household id household id 3980 10310301020014 41511408020164 30924912615850.6 7372639529324.54 Household purchased assets in last 12 months Household purchased assets in last 12 months Household purchased assets in last 12 months Household purchased assets in last 12 months Household purchased assets in last 12 months 3976 4 1 Sysmiss Value of assets purchased Value of assets purchased Value of assets purchased Value of assets purchased Value of assets purchased 3980 500000 5013.656 20665.019 Household sold assets in last 12 months Household sold assets in last 12 months Household sold assets in last 12 months Household sold assets in last 12 months Household sold assets in last 12 months 3971 9 1 Sysmiss Value of assets sold Value of assets sold Value of assets sold Value of assets sold Value of assets sold 3980 800000 402.663 13325.463 Serial Number Serial Number Serial Number Serial Number Serial Number 3902 78 1 3970 1972.401 1135.667 (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod 3980 SCG 1 VFSG actual treatment status actual treatment status actual treatment status actual treatment status actual treatment status 3902 78 Control 1 Treatment 2 Do not know SAGE Sysmiss baseline treatment group baseline treatment group baseline treatment group baseline treatment group baseline treatment group 3980 Control 1 Treatment Community ID Community ID Community ID Community ID Community ID 3980 1031030102 4151140802 3092489768.58 737263910.086 District District District District District 3980 APAC KABERAMAIDO KATAKWI KIBOGA KYENJOJO MOROTO NAKAPIRIPIRIT NEBBI County County County County County 3980 CHEKWII JONAM KABERAMAIDO KALAKI KIBOGA KWANIA MARUZI MATHENIKO MOROTO MUNICIPALITY MWENGE PADYERE PIAN TOROMA USUK Sub-County Sub-County Sub-County Sub-County Sub-County 3980 ABONGOMOLA ADUKU AKOKORO ALWA ANYARA APAC ATEGO BUGAAKI BUTIITI CHAWENTE CHEGERE ERUSSI IBUJE KABERAMAIDO TOWN COUNCIL KAKOMONGOLE KALAKI KAPEKE KAPUJAN KATOOKE TOWN COUNCIL KIBOGA TOWN COUNCIL KIGARAALE KISOJO KITOOKE KUCWINY KYARUSOZI KYENJOJO TOWN COUNCIL MAGORO NABILATUK NADUNGET NAMBEISO NDHEW NEBBI TOWN COUNCIL NYANTUNGO OCHERO OMODOI PAKWACH PAKWACH TOWN COUNCIL PANYANGO PANYIMUR RUPA SOUTH DIVISION TOROMA USUK Parish Parish Parish Parish Parish 3980 AAKUM ABALANG ABANY ABAR EAST ABAR WEST ABEDI ABINDU WARD ABOKO ABONGO ABULI ABWOKODIA ABWONG ACABA ACEGERETOLIM ACENLWORO ACHERER ACHUNGI ADEM ADOLO ADYEDA AGANGA AGONG AJAR AKALI AKERE AKETO AKOKORO AKURAO AKUYAM ALARO ALIDO ALIRA ALWOROCENG AMII- AMILO AMII-ABERIDWOGO AMOR WARD AMOR WEST AMORIGOGA AMUN AMUSIA ANGODINGODI ANWANGI ANYARA AORNGA APARISIA APIRE APOI APUUTON ASURET ATANA ATIGOLWOK ATIK ATONGTIDI ATOPI ATULE ATYAK AWILA AYABI AYAGO AYEOLYEC BAMUSUUTA WARD BARAHIIJA BARODILO BORO BUCUNI WARD BUNG BURARRO BUSANZA BUTARA BUTIITI BUZIBWEERA WARD BWENZI CAMPSWAHILI JUU CAMPSWAHILLICHIN CENTRAL WARD CHEGERE CHELEUKO ENJERU ETEKOBER FOREST WARD GANDA HAKATOMA HIMA ILEE ISANDARA JUKIA WARD KABAALE KADINYA KAFUNDA PARISH KAGAA KAGOBE KAIHURA KAKERE KAKINDO KALAKI KALOKWAMERI KAMENU KAMUDA KANYALAM KAPUJAN KASABA KASEGA KASENYI KATAMBALE KATARA WARD KAYEERA KIBIRA KIBOGA TOWN WARD KIDILANI KIGOYERA KIGUNDU KIHUMIRO KIJUMA KIKODA KINOGERO PARISH KIRONGO WARD KIRULUMBA WARD KISOJO KITONGOLE KITONYA KIVUJE KOKORIO KORITOK KORYAMO KOTHIKE KUNGU KYABAGONZA KYABARANGA KYAKATWIRE KYAMITARA KYAMUGENYI KYAMUTASA KYANYABONGO WARD KYAYIMBA KYONGERA LOBODEGI LOBUNEIT LOKAALA LOPUTUK LOTIRIR MABAALE MAGORO MAJENGO MIRAMBI MITOMA MOGOTH MORUANGIBUIN MUKALE MUKUNYU MWARO WARD MYERI PARISH NABOLITH NADUNGET NAITAKWAE NAKADELI NAKOBEKOBE NAMRWODO WARD NAMTHIN WARD NATOPOJO NEBBI HILL WARD NSINDE NTOMA NYACARA WARD NYAIBANDA NYAKAGEI NYAKISI PARISH NYAMABUGA OGWIL OGWOLO OLAGO OLOLANGO OLYEJO OMID OMINYA OMWIBALE ONGEMA ONGICIA ONGOCENG OPETA ORIMAI OWEKO OWINY PACEGO PACHAKA PADOLO PAJUR PAKIA PALATAU PAMINYA LOWER PAMINYA UPPER PAMITU PAMORA UPPER PAROKETO PAYERA POKWERO PUNUATAR PUPU PUVUNGU CENTRAL PUVUNGU WEST RAMOGI RUBANGO RUHOKO RUPA RWAITENGYA RWAMUKOORA SWAGERE TAROGALI TEBOKE TEI-ORO THATHA WARD TOKORA TOROMA USUK VURR Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse 3980 1.535 53.398 17.601 7.91 Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse 3980 1.389 42.718 17.509 7.779 Village Village Village Village Village 3980 1 377 187.178 109.613 household id household id household id household id household id 3980 10310301020014 41511408020164 30924912615850.7 7372639529324.35 household owning livestock household owning livestock household owning livestock household owning livestock household owning livestock 3980 1 household purchasing livestock in the last 12 months household purchasing livestock in the last 12 months household purchasing livestock in the last 12 months household purchasing livestock in the last 12 months household purchasing livestock in the last 12 months 3980 1 total value of livestock purchased total value of livestock purchased total value of livestock purchased total value of livestock purchased total value of livestock purchased 3980 9150000 38842.337 251576.627 household selling livestock in the last 12 months household selling livestock in the last 12 months household selling livestock in the last 12 months household selling livestock in the last 12 months household selling livestock in the last 12 months 3980 1 total value of livestock sold total value of livestock sold total value of livestock sold total value of livestock sold total value of livestock sold 3980 31400000 77595.427 622782.898 household owning cattle household owning cattle household owning cattle household owning cattle household owning cattle 3980 1 household owning goat household owning goat household owning goat household owning goat household owning goat 3980 1 household owning sheep household owning sheep household owning sheep household owning sheep household owning sheep 3980 1 household owning camel household owning camel household owning camel household owning camel household owning camel 3980 1 household owning donkey household owning donkey household owning donkey household owning donkey household owning donkey 3980 1 household owning pig household owning pig household owning pig household owning pig household owning pig 3980 1 household owning poultry household owning poultry household owning poultry household owning poultry household owning poultry 3980 1 household owning other livestock household owning other livestock household owning other livestock household owning other livestock household owning other livestock 3980 1 household purchasing cattle household purchasing cattle household purchasing cattle household purchasing cattle household purchasing cattle 3980 1 household purchasing goat household purchasing goat household purchasing goat household purchasing goat household purchasing goat 3980 1 household purchasing sheep household purchasing sheep household purchasing sheep household purchasing sheep household purchasing sheep 3980 1 household purchasing camel household purchasing camel household purchasing camel household purchasing camel household purchasing camel 3980 household purchasing donkey household purchasing donkey household purchasing donkey household purchasing donkey household purchasing donkey 3980 1 household purchasing pig household purchasing pig household purchasing pig household purchasing pig household purchasing pig 3980 1 household purchasing poultry household purchasing poultry household purchasing poultry household purchasing poultry household purchasing poultry 3980 1 household purchasing other livestock household purchasing other livestock household purchasing other livestock household purchasing other livestock household purchasing other livestock 3980 1 Serial Number Serial Number Serial Number Serial Number Serial Number 3902 78 1 3970 1972.401 1135.667 (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod 3980 SCG 1 VFSG actual treatment status actual treatment status actual treatment status actual treatment status actual treatment status 3902 78 Control 1 Treatment 2 Do not know SAGE Sysmiss baseline treatment group baseline treatment group baseline treatment group baseline treatment group baseline treatment group 3980 Control 1 Treatment Community ID Community ID Community ID Community ID Community ID 3980 1031030102 4151140802 3092489768.58 737263910.086 District District District District District 3980 APAC KABERAMAIDO KATAKWI KIBOGA KYENJOJO MOROTO NAKAPIRIPIRIT NEBBI County County County County County 3980 CHEKWII JONAM KABERAMAIDO KALAKI KIBOGA KWANIA MARUZI MATHENIKO MOROTO MUNICIPALITY MWENGE PADYERE PIAN TOROMA USUK Sub-County Sub-County Sub-County Sub-County Sub-County 3980 ABONGOMOLA ADUKU AKOKORO ALWA ANYARA APAC ATEGO BUGAAKI BUTIITI CHAWENTE CHEGERE ERUSSI IBUJE KABERAMAIDO TOWN COUNCIL KAKOMONGOLE KALAKI KAPEKE KAPUJAN KATOOKE TOWN COUNCIL KIBOGA TOWN COUNCIL KIGARAALE KISOJO KITOOKE KUCWINY KYARUSOZI KYENJOJO TOWN COUNCIL MAGORO NABILATUK NADUNGET NAMBEISO NDHEW NEBBI TOWN COUNCIL NYANTUNGO OCHERO OMODOI PAKWACH PAKWACH TOWN COUNCIL PANYANGO PANYIMUR RUPA SOUTH DIVISION TOROMA USUK Parish Parish Parish Parish Parish 3980 AAKUM ABALANG ABANY ABAR EAST ABAR WEST ABEDI ABINDU WARD ABOKO ABONGO ABULI ABWOKODIA ABWONG ACABA ACEGERETOLIM ACENLWORO ACHERER ACHUNGI ADEM ADOLO ADYEDA AGANGA AGONG AJAR AKALI AKERE AKETO AKOKORO AKURAO AKUYAM ALARO ALIDO ALIRA ALWOROCENG AMII- AMILO AMII-ABERIDWOGO AMOR WARD AMOR WEST AMORIGOGA AMUN AMUSIA ANGODINGODI ANWANGI ANYARA AORNGA APARISIA APIRE APOI APUUTON ASURET ATANA ATIGOLWOK ATIK ATONGTIDI ATOPI ATULE ATYAK AWILA AYABI AYAGO AYEOLYEC BAMUSUUTA WARD BARAHIIJA BARODILO BORO BUCUNI WARD BUNG BURARRO BUSANZA BUTARA BUTIITI BUZIBWEERA WARD BWENZI CAMPSWAHILI JUU CAMPSWAHILLICHIN CENTRAL WARD CHEGERE CHELEUKO ENJERU ETEKOBER FOREST WARD GANDA HAKATOMA HIMA ILEE ISANDARA JUKIA WARD KABAALE KADINYA KAFUNDA PARISH KAGAA KAGOBE KAIHURA KAKERE KAKINDO KALAKI KALOKWAMERI KAMENU KAMUDA KANYALAM KAPUJAN KASABA KASEGA KASENYI KATAMBALE KATARA WARD KAYEERA KIBIRA KIBOGA TOWN WARD KIDILANI KIGOYERA KIGUNDU KIHUMIRO KIJUMA KIKODA KINOGERO PARISH KIRONGO WARD KIRULUMBA WARD KISOJO KITONGOLE KITONYA KIVUJE KOKORIO KORITOK KORYAMO KOTHIKE KUNGU KYABAGONZA KYABARANGA KYAKATWIRE KYAMITARA KYAMUGENYI KYAMUTASA KYANYABONGO WARD KYAYIMBA KYONGERA LOBODEGI LOBUNEIT LOKAALA LOPUTUK LOTIRIR MABAALE MAGORO MAJENGO MIRAMBI MITOMA MOGOTH MORUANGIBUIN MUKALE MUKUNYU MWARO WARD MYERI PARISH NABOLITH NADUNGET NAITAKWAE NAKADELI NAKOBEKOBE NAMRWODO WARD NAMTHIN WARD NATOPOJO NEBBI HILL WARD NSINDE NTOMA NYACARA WARD NYAIBANDA NYAKAGEI NYAKISI PARISH NYAMABUGA OGWIL OGWOLO OLAGO OLOLANGO OLYEJO OMID OMINYA OMWIBALE ONGEMA ONGICIA ONGOCENG OPETA ORIMAI OWEKO OWINY PACEGO PACHAKA PADOLO PAJUR PAKIA PALATAU PAMINYA LOWER PAMINYA UPPER PAMITU PAMORA UPPER PAROKETO PAYERA POKWERO PUNUATAR PUPU PUVUNGU CENTRAL PUVUNGU WEST RAMOGI RUBANGO RUHOKO RUPA RWAITENGYA RWAMUKOORA SWAGERE TAROGALI TEBOKE TEI-ORO THATHA WARD TOKORA TOROMA USUK VURR Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse 3980 1.535 53.398 17.601 7.91 Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse 3980 1.389 42.718 17.509 7.779 Village Village Village Village Village 3980 1 377 187.178 109.613 serial number serial number serial number serial number serial number 21257 1 4194 2091.21 1204.802 household id household id household id household id household id 21257 10310301020014 41511408020164 30720383179470.8 7408626485515.74 member id member id member id member id member id 21257 1 22 4.007 2.635 hh1 q2:age of respondent hh1 q2:age of respondent hh1 q2:age of respondent hh1 q2:age of respondent hh1 q2:age of respondent 21257 98 23.614 22.186 how was date of birth recorded? how was date of birth recorded? how was date of birth recorded? how was date of birth recorded? how was date of birth recorded? 21256 1 1 national id / passport 2 birth certificate 3 voter’s card 4 immunisation card 5 baptism card 6 event calendar 7 self-reported 8 97 others 98 dk/na Sysmiss hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? 844 AUNT AUNT RECALL AUNTY RECALLED BEING TOLD BY THE HUSBAND BIRTH REGISTER BOOK BOOK RECORD BOOK RECORD KEPT BOOKS RECORDS BROTHER BROTHER RECALLED BROTHER RECODED CANT REMEMBER CARETAKER CERTIFICATE OF REGISTRATION CHAIRMAN CHILD HEALTH CARD CODE GOT FROM HOUSEHOLD REGIS DAD DAUGHTER DAUGHTER IN-LAW TO THE HHOLD DAUGHTER IN-LAW TO THE HHOLD DAUGHTER INLAW DAUGHTER REMEMBERED DRIVING PERMIT FAMILY BOOK FAMILY GRACE FAMILY RECORD BOOK FAMILY RECORDS FAMILY REG FAMILY REGISTER FAMILY REGISTER BOOK FATHER FATHER RECAL FATHER RECALE FATHER RECALL FATHER RECALLED FATHER RECORDS FATHERRECAL FRIEND RECALLED G.MUM GRAND GRAND MOM GRAND MOTHER GRAND MOTHER RECALL GRAND MOTHER RECALLED GRAND MOTHER REMEMBERED GRAND MUM GRANDCHILD RECALLED GRANDFATHER GRANDMOTHER GRANDMOTHER CALL GRANDMOTHER RECALLED GRANDMOTHER REPORTED GRANDMUM GRANDY GUARDIAN RECALLED HE WROTE ALL THE CHILDRENS BI HEALTH CARD HIDDEN REPORT HOME BIRTH REGISTER HOME BORTH REGISTER HOME RECORD HOME REGISTER HOSPITAL BOOK RECORDS HOUSEHOLD REGISTER WAS USED HUSBAND RECALLED IDENTITY CARD IMMUNISATION BOOK LC RECORDS LCI ROSTER MARRIAGE CARD MEDICAL FORM MOTHER MOTHER RECAL MOTHER RECALL MOTHER RECALLED MOTHERS RECALL MOTHER`S RECALL MRM MRM CARD MUM NEIGHBOR RECALLED NRM NRM CARD NRM MEMBERSHIP CARD NRM REGOSTER NRN CARD OCEN AND OPIO ARE TWINS OTHER RECALL PARENT/ BROTHER PARTY CARD PARTY ID REAL WIFE RECAL RECAL WIFE RECALL RECALL AUNT RECALL BROTHER RECALL BY GRANDMOTHER RECALL FATHER RECALL GRANDMOTHER RECALL MOTHER RECALL SON RECALL TRADITIONAL BIRTH ATTE RECALLED RECALLED BY GRANDMOTHER RECALLED BY THE GRANDMOTHER M RECALLED BY THE MOTHER RECAll RECORD BOOK RECORDED DATA RECORDS REGISTER REPORTED BY GRANDFATHER ROCALL SISTER SOME ONE RECALL SOMEBODY RESPONDED SON SON RECALL SON RECALLED SPOUSE UNCLE VILAGE HOUSEHOLD REGISTER VILLAGE HOUSE HOLD REGISTER VILLAGE HOUSEHOLD REGISTER VORTERS REPORT VOTERS RECIEPT WIFE WIFE RECALL WIFE RECALLED WRITTEN WROTE ALL HIS CHILDRENS BIRTH hh1 q5:gender hh1 q5:gender hh1 q5:gender hh1 q5:gender hh1 q5:gender 21257 1 male 2 female 98 dk/na hh1 q6:what is [name]'s relation to the head of house? hh1 q6:what is [name]'s relation to the head of house? hh1 q6:what is [name]'s relation to the head of house? hh1 q6:what is [name]'s relation to the head of house? hh1 q6:what is [name]'s relation to the head of house? 21257 1 head 2 spouse 3 son/daughter 4 grand child 5 father/mother 6 brother/sister 7 nephew/niece 8 son/daughter-in-law 9 brother/sister-in-law 10 father/mother-in-law 11 grand father/ mother 12 uncle/ aunt 13 servant and their relatives 77 other 97 others 98 dk/na hh1 q7:what is [name]'s current marital status? hh1 q7:what is [name]'s current marital status? hh1 q7:what is [name]'s current marital status? hh1 q7:what is [name]'s current marital status? hh1 q7:what is [name]'s current marital status? 21257 1 married monogamous 2 married polygamous 3 widow / widower 4 divorced / separated 5 never married 98 hh1_q8:what is the id code of [name]'s spouse? hh1_q8:what is the id code of [name]'s spouse? hh1_q8:what is the id code of [name]'s spouse? hh1_q8:what is the id code of [name]'s spouse? hh1_q8:what is the id code of [name]'s spouse? 4806 16451 1 99 12.991 31.082 hh1_q9:is [name]'s father still alive? hh1_q9:is [name]'s father still alive? hh1_q9:is [name]'s father still alive? hh1_q9:is [name]'s father still alive? hh1_q9:is [name]'s father still alive? 12031 9226 1 yes 2 no 98 don't know Sysmiss hh1_q10:what is the id code of [name]'s father? hh1_q10:what is the id code of [name]'s father? hh1_q10:what is the id code of [name]'s father? hh1_q10:what is the id code of [name]'s father? hh1_q10:what is the id code of [name]'s father? 9809 11448 1 2 3 4 5 6 7 8 9 10 12 13 98 99 not in the roster Sysmiss hh1 q11:what is the highest level of education completed by [name]'s father? hh1 q11:what is the highest level of education completed by [name]'s father? hh1 q11:what is the highest level of education completed by [name]'s father? hh1 q11:what is the highest level of education completed by [name]'s father? hh1 q11:what is the highest level of education completed by [name]'s father? 11245 10012 1 no education 2 p1 3 p2 4 p3 5 p4 6 p5 7 p6 8 p7 9 s1 10 s2 11 s3 12 s4 13 s5 14 s6 15 post sec. training/diploma 16 undergraduate degree 17 postgraduate degree 18 post primary vocational training 97 don’t know 98 Sysmiss hh1_q12 is [name]'s mother still alive? hh1_q12 is [name]'s mother still alive? hh1_q12 is [name]'s mother still alive? hh1_q12 is [name]'s mother still alive? hh1_q12 is [name]'s mother still alive? 12031 9226 1 yes 2 no 98 don't know Sysmiss hh1_q13: what is the id code of [name]'s mother? hh1_q13: what is the id code of [name]'s mother? hh1_q13: what is the id code of [name]'s mother? hh1_q13: what is the id code of [name]'s mother? hh1_q13: what is the id code of [name]'s mother? 11178 10079 1 2 3 4 5 6 7 8 9 10 11 14 20 21 97 98 99 not in the roster Sysmiss hh1 q14:what is the highest level of education completed by [name]'s mother? hh1 q14:what is the highest level of education completed by [name]'s mother? hh1 q14:what is the highest level of education completed by [name]'s mother? hh1 q14:what is the highest level of education completed by [name]'s mother? hh1 q14:what is the highest level of education completed by [name]'s mother? 11704 9553 1 no education 2 p1 3 p2 4 p3 5 p4 6 p5 7 p6 8 p7 9 s1 10 s2 11 s3 12 s4 13 s5 14 s6 15 post sec. training/diploma 16 undergraduate degree 17 postgraduate degree 18 post primary vocational training 97 don’t know Sysmiss hh1 q15:did [name] sleep under a mosquito net last night? hh1 q15:did [name] sleep under a mosquito net last night? hh1 q15:did [name] sleep under a mosquito net last night? hh1 q15:did [name] sleep under a mosquito net last night? hh1 q15:did [name] sleep under a mosquito net last night? 21257 1 yes 2 no 97 others 98 don't know hh1 q16:is this net currently treated? hh1 q16:is this net currently treated? hh1 q16:is this net currently treated? hh1 q16:is this net currently treated? hh1 q16:is this net currently treated? 7844 13413 1 yes, permanet (long lasting net) 2 yes, net bought within last 12 months 3 yes, treated in the last 12 months 4 not treated 98 don’t know Sysmiss hh1 q17:does [name] have a blanket under which [name] can sleep when it gets co hh1 q17:does [name] have a blanket under which [name] can sleep when it gets co hh1 q17:does [name] have a blanket under which [name] can sleep when it gets co hh1 q17:does [name] have a blanket under which [name] can sleep when it gets co hh1 q17:does [name] have a blanket under which [name] can sleep when it gets co 21163 94 1 yes, own 2 yes, shared 3 no 98 dk/na Sysmiss hh1 q18: how many meals did [name] eat yesterday? hh1 q18: how many meals did [name] eat yesterday? hh1 q18: how many meals did [name] eat yesterday? hh1 q18: how many meals did [name] eat yesterday? hh1 q18: how many meals did [name] eat yesterday? 21257 99 4.772 16.673 hh1 q19: is [name] disable in any way? hh1 q19: is [name] disable in any way? hh1 q19: is [name] disable in any way? hh1 q19: is [name] disable in any way? hh1 q19: is [name] disable in any way? 21257 1 yes 2 no 98 dk/na hh1 q20: was [name] residing in this household 12 months ago? hh1 q20: was [name] residing in this household 12 months ago? hh1 q20: was [name] residing in this household 12 months ago? hh1 q20: was [name] residing in this household 12 months ago? hh1 q20: was [name] residing in this household 12 months ago? 21257 1 same household 2 new-born into this household 3 different household/ same community 4 different household/ different community 98 dk/na hh1 q21: why did [name] move from his hh1 q21: why did [name] move from his hh1 q21: why did [name] move from his hh1 q21: why did [name] move from his hh1 q21: why did [name] move from his 399 20858 1 for education 2 back from school/studies 3 for employment 4 transfer of head of household 5 previous household could not afford to keep him/her 6 death of parent/guardian 7 death of spouse 8 marriage 9 new household 10 retrenchment 11 retirement 12 decided to resettle 13 found new agricultural land 14 starting a non-agricultural business 15 refugee/asylum seeker 97 other 98 dk/na Sysmiss hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others 55 ABANDONED BY THEIR PARENTS ATTEND TO PATIENT BABY TO HOUSE HELP BROGHT HIM TO HELP CALLED TO LOOK AFTER THE HOME AS T CHANGE IN FAMILY CONFLICT DISASTER BURNT MY HOUSE DIVORCE DIVORCED DIVORCED FROM HUSBAND DOMESTIC VIOLENCE FAMILY BREAK UP FOLLOWED THE MOTHER FOLLOWED THE MOTHER WHO GOT MARRIE HER MOTHER WAS RETURNING TO SCHOOL HIS SECOND HOUSEHOLD JOIN PARENTS MIGRATED TO HELP THEIR CHILDREN MIGRATED TO HELP THEIR GRAND MOTHE MOVED WITH MOTHER MY HOUSE GOT BURNT NEW BORN PARENTS DIVORCED RETURN TO FAMILY SEPARATION TAKING CARE OF SICK GRANDMOTHER THE GRAND MOTHER SEND HER BACK TO TO HELP FATHER /VISITING TO HELP FATHER/VISITING TO HELP THE GRANDMOTHER TO TAKE CARE OF HER CHILDREN TREATING AND TAKING CARE OF MU MUM TREATMENT VISIT WENT VISITING hh2 q1:is [name] eligible? (5 years and older) hh2 q1:is [name] eligible? (5 years and older) hh2 q1:is [name] eligible? (5 years and older) hh2 q1:is [name] eligible? (5 years and older) hh2 q1:is [name] eligible? (5 years and older) 21257 1 yes 2 no 98 dk/na hh2 q2:can [name] read or write with understanding in any language? hh2 q2:can [name] read or write with understanding in any language? hh2 q2:can [name] read or write with understanding in any language? hh2 q2:can [name] read or write with understanding in any language? hh2 q2:can [name] read or write with understanding in any language? 18124 3133 1 unable to read and write 2 able to read only 3 able to read and write 4 uses braille 98 dk/na Sysmiss hh2 q3:has [name] ever attended any formal school? hh2 q3:has [name] ever attended any formal school? hh2 q3:has [name] ever attended any formal school? hh2 q3:has [name] ever attended any formal school? hh2 q3:has [name] ever attended any formal school? 18124 3133 1 never attended 2 attended school in the past 3 currently attending school 98 dk/na Sysmiss hh2 q4:what grade is [name] currently attending? hh2 q4:what grade is [name] currently attending? hh2 q4:what grade is [name] currently attending? hh2 q4:what grade is [name] currently attending? hh2 q4:what grade is [name] currently attending? 7445 13812 1 no education 2 p1 3 p2 4 p3 5 p4 6 p5 7 p6 8 p7 9 s1 10 s2 11 s3 12 s4 13 s5 14 s6 15 post sec. training/diploma 16 undergraduate degree 17 postgraduate degree 18 post primary vocational training 98 dk/na Sysmiss hh2 q5:what grade did [name] attend in the last academic year? hh2 q5:what grade did [name] attend in the last academic year? hh2 q5:what grade did [name] attend in the last academic year? hh2 q5:what grade did [name] attend in the last academic year? hh2 q5:what grade did [name] attend in the last academic year? 7445 13812 1 no education 2 p1 3 p2 4 p3 5 p4 6 p5 7 p6 8 p7 9 s1 10 s2 11 s3 12 s4 13 s5 14 s6 15 post sec. training/diploma 16 undergraduate degree 17 postgraduate degree 18 post primary vocational training 98 dk/na Sysmiss hh2 q6:who owns the school? hh2 q6:who owns the school? hh2 q6:who owns the school? hh2 q6:who owns the school? hh2 q6:who owns the school? 7445 13812 1 gov’t 2 private 3 religious /ngo 97 other report 98 dk/na Sysmiss hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? 7 COMMUNITY COMMUNITY COLLEGE KINGDOM PARENTS SCHOOL RESULTS WERE DETAINED hh2 q7:in the last 30 scheduled school days, how many days did [name] miss? hh2 q7:in the last 30 scheduled school days, how many days did [name] miss? hh2 q7:in the last 30 scheduled school days, how many days did [name] miss? hh2 q7:in the last 30 scheduled school days, how many days did [name] miss? hh2 q7:in the last 30 scheduled school days, how many days did [name] miss? 7306 13951 1 2 3 4 5 6 7 8 9 10 11 12 14 15 16 17 18 20 21 22 24 30 98 dk/na Sysmiss hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul 2246 19011 1 not able to afford 2 too far away 3 poor school quality 4 had to help at home 5 had to help with farm work 6 had to help with family business 7 sick child 8 education not useful 9 parents did not want 10 not willing to attend 11 too young 12 orphaned 13 displaced 14 disabled 15 insecurity 16 school not available 17 culturally unacceptable 97 other 98 dk/na Sysmiss hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul 241 BAD ROADS BAD WEATHER BOOKS STILL MISSING BOOKS WERE STILL MISSING BOUGHT SCHOOL UNIFORM BURIAL CHAMGE OF SCHOOL CHARTECHISM CHASED AWAY FROM SCHOOL CLOTHES WERE DIRTY CONFIRMATION DEATH DEATH AT HOME DEATH IN A RELATIVES HOME DEATH OF GRANDFATHER DEATH OF GRANDMOTHER DEATHE OF GRANDFATHER DIDN`T HAVE SCHOOL UNIFORM BECAUSE I HADN`T YET BOUGHT DINT HAVE A PEN DINT WASH DIRTY CLOTHES DIRTY UNIFORM DONT KNOW DURING CAMPAIGNS THEY FEARED THEY MAY BE ABDUCTE HER ESCAPED FROM HOME TO GO VISIT AUNIITIE FEES FINISHED EXAMS AND WAS WAITING FOR TIME TO PICK REPORT FOOD HUNGER GONE TO VISIT GRANDMOTHER HAD BURNT THE HSE HAD DIRTY UNIFORM HAD GONE TO IBUJE TO COLLECT CLOTHES HAD GONE TO SEE THE MOTHER HAD GONE TO VISIT HER MUM HAD NO BOOKS HAD NO SCHOOL FEES HAD NO SCHOOL UNIFORM HAD NOT PAID DEVELOPMEN FEE HAD NOT PAID DEVELOPMENT FEE HAD TO GO TO WORK TO GET MONAY FOR BOOKS HAD TO TAKE CARE OF ME AT THE HOSPITAL HE HAD NOT YET RETURNED FROM HOLIDAY HELP TO TAKE CARE OF THE CATTLE HIS UNIFORM WAS DIRTY HIS UNIFORM WAS STILL WET HUNGER HUNTING IS AWAY FROM HOME ITEMS NOT AVAILABLE LIKE BOOKS LACK OF BOOKS LACK OF BOOKS AND PENCILS LACK OF SCHOLASTIC MATERIAL LACK OF SCHOLATIC MATERIA LACK OF UNIFORM LOOKING FOR MONEY LOST A FAMILY LOST A RELATIVE LOST RELATIVE MENTAL PROBLEM NO BOOK NO BOOKS NO BOOKS AND PEN NO FOOD NO FOOD (HUNGER) NO SOAP TO WASH UNIFORM NO TEACHER NURSERY NO UNIFORM NO UNIFORM, NO FOOD NO UNIFORMS NO UNIFORN NOT AVAILABLE NOT WASHED THE UNIFORM PLE PRAYERS RAIN RAINFALL RAINFALL FELL THAT WE COULD NOT GO TO SCHOOL RANI REPORT SCHOLASTIC MATENALS SCHOOL CLOSED DUE TO FLOODS SCHOOL FEES SCHOOL HAS BEEN CLOSED UNTIL THE TOILET IS BUILD SCHOOL WAS CLOSED DUE TO POOR HYGIENE SELL RATE TO GET MONEY TO BUY BOOKS SHOOL FEES SICK SICK MOTHER SOME ITEMS LIKE BOOKS WERE NOT AVAILABLE TEACHER SICK TEACHERS NOT AVAILABLE TEACHERS NOT AVAILABLE ON FIRST DAYS OF TERM TO PICK SOME REQUIREMENTS TOO MUCH RAIN UNIFORM UNIFORM DIRITY UNIFORM DIRTY UNIFORM NOT DRY UNIFORM WAS DIRTY UNKNOWN UNWANTED UNIFORM VILLAGE HAD FLOODED AND ROUTES WERE IMPOSIBLE WAITING FOR SCHOOL FEES WANT FOR BURIAL WENT TO VISIT A RELATIVE hh2 q9:why has [name] not attended school? hh2 q9:why has [name] not attended school? hh2 q9:why has [name] not attended school? hh2 q9:why has [name] not attended school? hh2 q9:why has [name] not attended school? 5063 16194 1 not able to afford 2 too far away 3 poor school quality 4 had to help at home 5 had to help with farm work 6 had to help with family business 7 sick child 8 education not useful 9 parents did not want 10 not willing to attend 11 too young 12 orphaned 13 displaced 14 disabled 15 insecurity 16 school not available 17 culturally unacceptable 97 other 98 dk/na Sysmiss hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? 22 BABY SITTER CAN'T TELL CHILDREN IN NURSERY CULTURALLY UNACCEPTABLE DEATH OF SPONSOR DEATH OF THE FATHER DIDNT SEE THE IMPORTANCE OF EDUCA DISABLED DONT KNOW HAS EPILEPSY SO HE CAN'T ATTEND S HELP TAKE CARE OF THE TWINS AT HO MENTAL DISTURBENT NO REASON NO SCHOOLS PARENTS WERE DEAD PLANNING TO TAKE HIM NEXT YEAR REFUSED TO GO TOSCHOOL RESULTS WERE DETAINED SICKNESS, CALAMITY, IN THE FAMILY STILL YOUNG UNKNOWN hh2 q10:what was the highest grade that [name] completed? hh2 q10:what was the highest grade that [name] completed? hh2 q10:what was the highest grade that [name] completed? hh2 q10:what was the highest grade that [name] completed? hh2 q10:what was the highest grade that [name] completed? 5648 15609 1 no education 2 p1 3 p2 4 p3 5 p4 6 p5 7 p6 8 p7 9 s1 10 s2 11 s3 12 s4 13 s5 14 s6 15 post sec. training/diploma 16 undergraduate degree 17 postgraduate degree 18 post primary vocational training 98 dk/na Sysmiss hh2 q11:why did [name] leave school? hh2 q11:why did [name] leave school? hh2 q11:why did [name] leave school? hh2 q11:why did [name] leave school? hh2 q11:why did [name] leave school? 5646 15611 1 completed desired schooling 2 further schooling not available 3 not able to afford 4 too far away 5 had to help at home 6 had to help with farm work 7 death of sponsor 8 had to help with family business 9 poor school quality 10 parents did not want 11 not willing to further attend 12 poor academic progress 13 sickness/calamity in family 14 pregnancy 15 marriage 97 other 98 dk/na Sysmiss hh2 q11:why did [name] leave school?- other hh2 q11:why did [name] leave school?- other hh2 q11:why did [name] leave school?- other hh2 q11:why did [name] leave school?- other hh2 q11:why did [name] leave school?- other 107 BEWITCHED CHANGE IN HOUSEHOLD CHILD WANT TO GO TO BOARDING SCHOOL CULTURAL BELIEF THAT GIRLS SHOULDNT CULTURALLY NOT ALLOWED CULTURALLY UNACCEPTABLE CULTURALLY UNACCEPTED CULTURALLY UNACEPTABLE CULTURE DEATH OF PARENT DISABILITY DISABILITY OF THE FATHER DISABLED DISABLED LAME DISPLACEMENT DOESNT KNOW AND WIFE IS ABSENT DURI DOMESTIC VIOLENCE DON'T KNOW DONT KNOW DULL DULL IN CLASS EDUCATED GIRLS GET SPOILS EVIL SPIRIT FEES HAD A MENTAL HISTORY HOLIDAY I DNT SEE THE IMPORTANCE OF EDUCATI IGNORANCE IMPRISON- HE WAS ARRESTED FOR IMPRG INSECURITY INSECURITY IN THE AREA DISRUPTED HI INSECURITY MOVED FROM NORTHERN UGAN INSERGENCIES INSECURITY INSTABILITY JOIN ARMY LACK OF SCHOOL FEES LAZY CHILD MENTALLY DIFICULTY MIGRATION MIGRATION MADE HER FAIL TO CATCH UP MY FATHER MARRIED ANOTHER WIFE AND NEED TO FINISH NURSERY FIRST THEN J NO UNIFORM NOT WILLING TO ATTEND ORPHANED PEER GROUPS POOR PERFORMANCE AT PRIMARY LEVEL REBEL ACTIVITY REFUSED RESPONSIBILITIES SICKNESS THE FAMILY WAS RICH AND SAW NO NEED THERE WAS WAR IN TESO THEY CHASED AWAY LANGI FROM BUGANDA TOO YOUNG TRAVELLED WITH MOTHER FOR LONG UNKNOWN REASON WAITING FOR HER RESULTS WAITING FOR RESULT WANTS THE BRAIN HEAD TO RELAX BEFOR WAR WARS WARS IN CONGO WEAK IN LEARNING WIFE DOESNT KNOW WORK WORKING hh3 q1:during the past 30 days did [name] suffer from any illness or injury, th hh3 q1:during the past 30 days did [name] suffer from any illness or injury, th hh3 q1:during the past 30 days did [name] suffer from any illness or injury, th hh3 q1:during the past 30 days did [name] suffer from any illness or injury, th hh3 q1:during the past 30 days did [name] suffer from any illness or injury, th 21257 1 yes 2 no 98 dk/na hh3 q2:for how many days did [name] have to stop his/her usual activities due t hh3 q2:for how many days did [name] have to stop his/her usual activities due t hh3 q2:for how many days did [name] have to stop his/her usual activities due t hh3 q2:for how many days did [name] have to stop his/her usual activities due t hh3 q2:for how many days did [name] have to stop his/her usual activities due t 4490 16767 1 98 10.242 11.84 hh3 q3:was anyone consulted (e.g. a doctor, nurse, pharmacist or traditional he hh3 q3:was anyone consulted (e.g. a doctor, nurse, pharmacist or traditional he hh3 q3:was anyone consulted (e.g. a doctor, nurse, pharmacist or traditional he hh3 q3:was anyone consulted (e.g. a doctor, nurse, pharmacist or traditional he hh3 q3:was anyone consulted (e.g. a doctor, nurse, pharmacist or traditional he 4490 16767 1 yes 2 no 98 dk/na Sysmiss hh3 q4:why was no one consulted for the major illness or injury? hh3 q4:why was no one consulted for the major illness or injury? hh3 q4:why was no one consulted for the major illness or injury? hh3 q4:why was no one consulted for the major illness or injury? hh3 q4:why was no one consulted for the major illness or injury? 1073 20184 1 illness mild 2 treated illness at home 3 facility too far 4 no money for consultation 5 too dangerous to go 6 available facilities are costly 7 no qualified staff present 8 staff attitude not good 9 too busy / long waiting time 10 facility is inaccessible 11 facility is closed 12 facility is destroyed 13 drugs not available 97 other 98 dk/na Sysmiss hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? 26 GAVE FIRST AID FOR NOSE BLEEDING GIVEN DRUGS HAS TRIED BEFORE AND DOES NOT GET CHANGE JUST GIVEN BIRTH SO SHE COULD NOT TAKE THEM TO HOSPITAL MOTHER HAD TRAVELLED NO ENERGY TO MOVE NO FACILITY TO USE TO GO TO HOSPITAL SINCE CANT USE BICYCLE NO MEANS TO GET THERE NO ONE COULD TAKE HER NO ONE TO TAKE ME NO ONE TO TAKE ME TO THE HOSPITAL NO ONE TO TAKE ME TO THE HOSPITALS NO ONE TO TAKE THEM NO ONE WOULD LEAD HIM TO THE FACILITY BECAUSE HE IS BLIND NO STRENGH TO RIDE A BICYCLE TO TAKE ME THERE NO STRENTH TO GO TO THE HOSPITAL NO TRANSPORT NONE CAN TAKE TO HOSPITAL PARENT LAZY TO TAKE CHILD TO HOSPITAL WAS TOO SICK AND COULD NOT SIT ON THE BICYCE hh3 q5:where did [name] go for the first consultation during the past 30 days? hh3 q5:where did [name] go for the first consultation during the past 30 days? hh3 q5:where did [name] go for the first consultation during the past 30 days? hh3 q5:where did [name] go for the first consultation during the past 30 days? hh3 q5:where did [name] go for the first consultation during the past 30 days? 3342 17915 1 neighbour/friend 2 community health worker 3 homapak drug distributor 4 ordinary shop 5 drug shop/pharmacy 6 private clinic 7 private hospital 8 health unit government 9 health unit ngo 10 hospital government 11 hospital ngo 12 traditional 13 = school nurse 97 other 98 dk/na Sysmiss hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - 27 BROKE THE LEG DISPENSARY FATHER GNLD DISTRIBUTOR LACOR MISSION HOSPITAL LOCAL HERBS MISSION MISSION HOSPITAL MISSION MENGO MISSIONARY MISSIONARY HOSPITAL RELIGIOUS CHURCH LEADER hh3 q6a:how far was this place where consultation was sought - kms? hh3 q6a:how far was this place where consultation was sought - kms? hh3 q6a:how far was this place where consultation was sought - kms? hh3 q6a:how far was this place where consultation was sought - kms? hh3 q6a:how far was this place where consultation was sought - kms? 3319 17938 1 1.25 1.5 1.6 2 2.12 2.4 2.5 3 3.1 3.2 3.4 3.5 3.6 3.75 4 4.2 4.3 4.5 4.8 5 5.8 6 6.2 6.4 7 7.2 7.5 8 8.5 9 9.4 9.6 10 10.8 11 11.2 12 12.5 12.6 12.8 13 14 14.4 14.5 15 16 16.2 17 17.6 18 19 19.1 19.2 19.5 20 21 22 22.4 23 24 25 25.6 26 27 27.2 28 28.8 30 30.4 31 32 35 35.2 36 37 38.2 38.4 40 41.6 44 44.8 45 46.4 47 48 50 54 55 56 56.8 57.6 58 60 60.8 64 66.5 69 70 71 72 74 79 80 85 90 92 94 98 100 110 120 123.2 138 157 175 200 255 300 320 327 400 410 480 515 998 dk/na Sysmiss hh3 q6b:how far was this place where consultation was sought - time(minutes)? hh3 q6b:how far was this place where consultation was sought - time(minutes)? hh3 q6b:how far was this place where consultation was sought - time(minutes)? hh3 q6b:how far was this place where consultation was sought - time(minutes)? hh3 q6b:how far was this place where consultation was sought - time(minutes)? 3319 17938 1 2 3 4 5 6 7 8 10 12 15 19 20 25 28 30 35 36 37 40 45 46 50 60 65 70 75 80 90 96 100 120 130 140 150 160 170 180 190 200 210 220 240 250 260 280 300 320 360 390 420 480 540 580 600 605 660 720 740 998 dk/na Sysmiss hh3 q7:what was the cost of this consultation, including any medicine prescribe hh3 q7:what was the cost of this consultation, including any medicine prescribe hh3 q7:what was the cost of this consultation, including any medicine prescribe hh3 q7:what was the cost of this consultation, including any medicine prescribe hh3 q7:what was the cost of this consultation, including any medicine prescribe 3319 17938 9999999998 1156978527.708 3199098956.905 hh3 q8:what was the cost of this consultation, including any medicine prescribe hh3 q8:what was the cost of this consultation, including any medicine prescribe hh3 q8:what was the cost of this consultation, including any medicine prescribe hh3 q8:what was the cost of this consultation, including any medicine prescribe hh3 q8:what was the cost of this consultation, including any medicine prescribe 3319 17938 9999999998 376633155.588 1904057360.047 hh4_q1:is [name] eligible? (5 years and older) hh4_q1:is [name] eligible? (5 years and older) hh4_q1:is [name] eligible? (5 years and older) hh4_q1:is [name] eligible? (5 years and older) hh4_q1:is [name] eligible? (5 years and older) 21257 1 yes 2 no 97 others 98 dk/na hh4_q2:during the last 7 days has [name] worked for payment in cash/in-kind out hh4_q2:during the last 7 days has [name] worked for payment in cash/in-kind out hh4_q2:during the last 7 days has [name] worked for payment in cash/in-kind out hh4_q2:during the last 7 days has [name] worked for payment in cash/in-kind out hh4_q2:during the last 7 days has [name] worked for payment in cash/in-kind out 18125 3132 1 yes 2 no 98 don't know Sysmiss hh4_q3:during the past 7 days has [name] worked on household owned land or with hh4_q3:during the past 7 days has [name] worked on household owned land or with hh4_q3:during the past 7 days has [name] worked on household owned land or with hh4_q3:during the past 7 days has [name] worked on household owned land or with hh4_q3:during the past 7 days has [name] worked on household owned land or with 18125 3132 1 yes 2 no 98 don't know Sysmiss hh4_q4:during the past 7 days has [name] worked in his/her own business or busi hh4_q4:during the past 7 days has [name] worked in his/her own business or busi hh4_q4:during the past 7 days has [name] worked in his/her own business or busi hh4_q4:during the past 7 days has [name] worked in his/her own business or busi hh4_q4:during the past 7 days has [name] worked in his/her own business or busi 18125 3132 1 yes 2 no 98 don't know Sysmiss hh4_q5:even if [name] did not work in the last 7 days for some reason, did [nam hh4_q5:even if [name] did not work in the last 7 days for some reason, did [nam hh4_q5:even if [name] did not work in the last 7 days for some reason, did [nam hh4_q5:even if [name] did not work in the last 7 days for some reason, did [nam hh4_q5:even if [name] did not work in the last 7 days for some reason, did [nam 7488 13769 1 yes 2 no 98 dk/na Sysmiss hh4_q6:has [name] looked for and/or available for work in the last 7 days? hh4_q6:has [name] looked for and/or available for work in the last 7 days? hh4_q6:has [name] looked for and/or available for work in the last 7 days? hh4_q6:has [name] looked for and/or available for work in the last 7 days? hh4_q6:has [name] looked for and/or available for work in the last 7 days? 7122 14135 1 yes 2 no Sysmiss hh4_q7:what is the main reason that [name] did not look for a job in the last 7 hh4_q7:what is the main reason that [name] did not look for a job in the last 7 hh4_q7:what is the main reason that [name] did not look for a job in the last 7 hh4_q7:what is the main reason that [name] did not look for a job in the last 7 hh4_q7:what is the main reason that [name] did not look for a job in the last 7 7337 13920 1 student 2 household duties 3 too young 4 too old/retired 5 disabled 6 sick 7 waiting for a reply from employer 8 waiting for a recall from employer 9 waiting for busy season 97 other Sysmiss hh4_q8a1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8a1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8a1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8a1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8a1:during the last 7 days, how many hours did [name] work on each day - d 10188 11069 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8a2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8a2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8a2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8a2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8a2:during the last 7 days, how many hours did [name] work on each day - h 10188 11069 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 24 98 dk/na Sysmiss hh4_q8b1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8b1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8b1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8b1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8b1:during the last 7 days, how many hours did [name] work on each day - d 10188 11069 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8b2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8b2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8b2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8b2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8b2:during the last 7 days, how many hours did [name] work on each day - h 10188 11069 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 98 dk/na Sysmiss hh4_q8c1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8c1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8c1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8c1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8c1:during the last 7 days, how many hours did [name] work on each day - d 10188 11069 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8c2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8c2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8c2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8c2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8c2:during the last 7 days, how many hours did [name] work on each day - h 10188 11069 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 98 dk/na Sysmiss hh4_q8d1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8d1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8d1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8d1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8d1:during the last 7 days, how many hours did [name] work on each day - d 10188 11069 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8d2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8d2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8d2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8d2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8d2:during the last 7 days, how many hours did [name] work on each day - h 10188 11069 1 2 3 4 5 6 7 8 9 10 11 12 13 14 17 18 98 dk/na Sysmiss hh4_q8e1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8e1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8e1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8e1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8e1:during the last 7 days, how many hours did [name] work on each day - d 10188 11069 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8e2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8e2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8e2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8e2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8e2:during the last 7 days, how many hours did [name] work on each day - h 10188 11069 1 2 3 4 5 6 7 8 9 10 11 12 13 14 16 17 98 dk/na Sysmiss hh4_q8f1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8f1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8f1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8f1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8f1:during the last 7 days, how many hours did [name] work on each day - d 10187 11070 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8f2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8f2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8f2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8f2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8f2:during the last 7 days, how many hours did [name] work on each day - h 10188 11069 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 98 dk/na Sysmiss hh4_q8g1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8g1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8g1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8g1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8g1:during the last 7 days, how many hours did [name] work on each day - d 10188 11069 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8g2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8g2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8g2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8g2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8g2:during the last 7 days, how many hours did [name] work on each day - h 10188 11069 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 24 98 dk/na Sysmiss hh4 q9:what was [name]'s main employment status during the last 7 days? hh4 q9:what was [name]'s main employment status during the last 7 days? hh4 q9:what was [name]'s main employment status during the last 7 days? hh4 q9:what was [name]'s main employment status during the last 7 days? hh4 q9:what was [name]'s main employment status during the last 7 days? 10188 11069 1 employer 2 own account worker 3 unpaid family worker 4 working on home farm 5 gov’t permanent 6 gov’t temporary 7 private permanent 8 private temporary/casual 9 student 98 Sysmiss hh4 q10:what was the nature of [name]'s work (for main employment status) tha hh4 q10:what was the nature of [name]'s work (for main employment status) tha hh4 q10:what was the nature of [name]'s work (for main employment status) tha hh4 q10:what was the nature of [name]'s work (for main employment status) tha hh4 q10:what was the nature of [name]'s work (for main employment status) tha 7604 13653 1 armed forces 11 legislators and senior officials 12 corporate managers 13 general managers skilled agricultural and fishery workers 21 physical, mathematical and engineering science professionals 22 life science and health professionals 23 teaching professionals 24 other professionals craft and related trade workers 31 physical and engineering science associate professionals 32 life science and health associate professionals 33 teaching associate professionals 34 other associate professionals plant and machine operators and assemblers 41 office clerks 42 customer service clerks elementary occupations 51 personal and protective service workers 52 models, sales persons and demonstrators armed forces 61 market oriented skilled agricultural and fishery workers 62 subsistence agricultural and fishery workers 71 extraction and building trade workers 72 metal, machinery and related trades workers 73 precision, handicraft, printing and related trades workers 74 other craft and related trades workers 81 stationary plant and related operators 82 machine operators and assemblers 83 drivers and mobile plant operators 91 sales and services elementary occupations 92 agricultural, fishery and related labourers 93 labourers in mining, construction, manufacturing and transport 97 others 98 dk/na Sysmiss hh4 q10:what was the nature of [name]’s work (for main employment status) that hh4 q11:how many months did [name] work at this main activity during the last 1 hh4 q11:how many months did [name] work at this main activity during the last 1 hh4 q11:how many months did [name] work at this main activity during the last 1 hh4 q11:how many months did [name] work at this main activity during the last 1 hh4 q11:how many months did [name] work at this main activity during the last 1 7725 13532 98 11.871 17.565 hh4 q12:in addition to the main occupation, did [name] also work in any subsidi hh4 q12:in addition to the main occupation, did [name] also work in any subsidi hh4 q12:in addition to the main occupation, did [name] also work in any subsidi hh4 q12:in addition to the main occupation, did [name] also work in any subsidi hh4 q12:in addition to the main occupation, did [name] also work in any subsidi 10188 11069 1 yes 2 no 98 dk/n/a Sysmiss hh4 q13:what was the nature of [name]'s subsidiary occupation during the last hh4 q13:what was the nature of [name]'s subsidiary occupation during the last hh4 q13:what was the nature of [name]'s subsidiary occupation during the last hh4 q13:what was the nature of [name]'s subsidiary occupation during the last hh4 q13:what was the nature of [name]'s subsidiary occupation during the last 3175 18082 1 armed forces 11 legislators and senior officials 12 corporate managers 13 general managers skilled agricultural and fishery workers 21 physical, mathematical and engineering science professionals 22 life science and health professionals 23 teaching professionals 24 other professionals craft and related trade workers 31 physical and engineering science associate professionals 32 life science and health associate professionals 33 teaching associate professionals 34 other associate professionals plant and machine operators and assemblers 41 office clerks 42 customer service clerks elementary occupations 51 personal and protective service workers 52 models, sales persons and demonstrators armed forces 61 market oriented skilled agricultural and fishery workers 62 subsistence agricultural and fishery workers 71 extraction and building trade workers 72 metal, machinery and related trades workers 73 precision, handicraft, printing and related trades workers 74 other craft and related trades workers 81 stationary plant and related operators 82 machine operators and assemblers 83 drivers and mobile plant operators 91 sales and services elementary occupations 92 agricultural, fishery and related labourers 93 labourers in mining, construction, manufacturing and transport 97 others 98 dk/na Sysmiss hh4 q13:what was the nature of [name]’s subsidiary occupation during the last 7 hh4 q14a:what were the main and secondary employment statuses of [name] during t hh4 q14a:what were the main and secondary employment statuses of [name] during t hh4 q14a:what were the main and secondary employment statuses of [name] during t hh4 q14a:what were the main and secondary employment statuses of [name] during t hh4 q14a:what were the main and secondary employment statuses of [name] during t 17815 3442 1 employer 2 own account worker 3 unpaid family worker 4 working on home farm 5 gov’t permanent 6 gov’t temporary/casual 7 private permanent 8 private temporary/casual 9 full time student 10 pensioner/retired 11 children not at school 12 none 97 other 98 Sysmiss hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during 13 BABY SITTER BROKER BUSINESS HOUSEHOLD DUTIES HOUSEWIFE INSENE JUST DELIVERED NOT KNOWN PRISON SERVANT SICK hh4 q14b:what were the main and secondary employment statuses of [name] during t hh4 q14b:what were the main and secondary employment statuses of [name] during t hh4 q14b:what were the main and secondary employment statuses of [name] during t hh4 q14b:what were the main and secondary employment statuses of [name] during t hh4 q14b:what were the main and secondary employment statuses of [name] during t 17813 3444 1 employer 2 own account worker 3 unpaid family worker 4 working on home farm 5 gov’t permanent 6 gov’t temporary/casual 7 private permanent 8 private temporary/casual 9 full time student 10 pensioner/retired 11 children not at school 12 none 97 other 98 Sysmiss hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during 43 . DIG FOR MONEY FISHING FISHING- SMALL SCALE MAKING LOCAL BREWS MINING GOLD ORANGE GARDEN PASTOR REVERED SALE OF CHARCOAL SELING LABOUR SELLING FISH SELLING LABOR SELLING LABOUR TRADITIONAL BIRTH ATTENDANT hh4 q15:is [name]’s aged 17 years or below or 50 years and above? hh4 q15:is [name]’s aged 17 years or below or 50 years and above? hh4 q15:is [name]’s aged 17 years or below or 50 years and above? hh4 q15:is [name]’s aged 17 years or below or 50 years and above? hh4 q15:is [name]’s aged 17 years or below or 50 years and above? 21257 1 yes 2 no 98 dk/na hh4 q16:during the past 7 days how many hours did [name] spend fetching water f hh4 q16:during the past 7 days how many hours did [name] spend fetching water f hh4 q16:during the past 7 days how many hours did [name] spend fetching water f hh4 q16:during the past 7 days how many hours did [name] spend fetching water f hh4 q16:during the past 7 days how many hours did [name] spend fetching water f 12427 8830 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 20 21 22 23 24 25 26 27 28 35 40 42 49 56 60 62 63 66 70 998 dk/na Sysmiss hh4 q17:during the past 7 days how many hours did [name] spend fetching firewoo hh4 q17:during the past 7 days how many hours did [name] spend fetching firewoo hh4 q17:during the past 7 days how many hours did [name] spend fetching firewoo hh4 q17:during the past 7 days how many hours did [name] spend fetching firewoo hh4 q17:during the past 7 days how many hours did [name] spend fetching firewoo 12431 8826 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 20 21 22 24 28 30 35 36 40 42 45 56 998 dk/na Sysmiss hh4 q18:during the past 7 days how many hours did [name] spend cooking for the hh4 q18:during the past 7 days how many hours did [name] spend cooking for the hh4 q18:during the past 7 days how many hours did [name] spend cooking for the hh4 q18:during the past 7 days how many hours did [name] spend cooking for the hh4 q18:during the past 7 days how many hours did [name] spend cooking for the 12432 8825 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 20 21 22 23 24 25 26 27 28 29 30 31 32 35 37 40 42 46 49 59 63 70 998 dk/na Sysmiss hh4 q19:during the past 7 days how many hours did [name] spend caring for child hh4 q19:during the past 7 days how many hours did [name] spend caring for child hh4 q19:during the past 7 days how many hours did [name] spend caring for child hh4 q19:during the past 7 days how many hours did [name] spend caring for child hh4 q19:during the past 7 days how many hours did [name] spend caring for child 12431 8826 1 2 3 4 5 6 7 8 9 10 11 12 14 15 16 18 20 21 22 24 25 28 30 35 36 37 38 40 42 48 49 56 63 70 84 91 998 dk/na Sysmiss hh4 q20:during the past 7 days how many hours did [name] spend doing other chor hh4 q20:during the past 7 days how many hours did [name] spend doing other chor hh4 q20:during the past 7 days how many hours did [name] spend doing other chor hh4 q20:during the past 7 days how many hours did [name] spend doing other chor hh4 q20:during the past 7 days how many hours did [name] spend doing other chor 12432 8825 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 19 20 21 24 25 28 30 35 36 40 42 44 49 56 998 dk/na Sysmiss hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during 6 21251 1 baby sitter 2 broker 3 household duties 4 housewife 5 sick Sysmiss hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during 15 21242 1 dig for money 2 fishing 3 fishing- small scale 4 mining gold 5 orange garden 6 pastor 7 selling labor 8 selling labour 9 traditional birth attendant Sysmiss hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others 24 21233 1 abandoned by their parents 2 baby to house help 3 change in family 4 divorce 5 divorced from husband 6 family break up 7 join parents 8 moved with mother 9 new born 10 parents divorced 11 return to family 12 separation 13 to help father /visiting 14 to help father/visiting 15 treating and taking care of mu mum 16 treatment 17 visit Sysmiss hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? 4 21253 1 community 2 parents school 3 results were detained Sysmiss hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul 122 21135 1 bad roads 2 books still missing 3 books were still missing 4 bought school uniform 5 burial 6 chamge of school 7 chartechism 8 chased away from school 9 clothes were dirty 10 death 11 death at home 12 death of grandmother 13 didn`t have school uniform because i hadn`t yet bought 14 dint wash 15 dirty clothes 16 dirty uniform 17 fees 18 finished exams and was waiting for time to pick report 19 gone to visit grandmother 20 had burnt the hse 21 had gone to see the mother 22 had no books 23 had no school uniform 24 his uniform was dirty 25 his uniform was still wet 26 hunger 27 is away from home 28 items not available like books 29 lack of books 30 lack of uniform 31 lost a family 32 lost a relative 33 lost relative 34 no books 35 no books and pen 36 no uniform 37 no uniforms 38 not available 39 not washed the uniform 40 prayers 41 rainfall 42 rainfall fell that we could not go to school 43 report 44 scholastic matenals 45 school fees 46 school was closed due to poor hygiene 47 sick 48 sick mother 49 some items like books were not available 50 teachers not available 51 too much rain 52 uniform 53 uniform dirity 54 uniform dirty 55 uniform was dirty 56 village had flooded and routes were imposible 57 waiting for school fees Sysmiss hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? 9 21248 1 baby sitter 2 can't tell 3 culturally unacceptable 4 death of the father 5 disabled 6 dont know 7 parents were dead 8 results were detained 9 sickness, calamity, in the family 10 still young Sysmiss hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? 11 21246 1 has tried before and does not get change 2 mother had travelled 3 no energy to move 4 no facility to use to go to hospital since cant use bicycle 5 no one to take me 6 no one to take them 7 no transport 8 was too sick and could not sit on the bicyce Sysmiss hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - 20 21237 1 broke the leg 2 dispensary 3 father 4 lacor mission hospital 5 local herbs 6 mission 7 mission hospital 8 mission mengo 9 missionary 10 missionary hospital 11 religious church leader Sysmiss hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? 844 20413 1 AUNT 2 AUNT RECALL 3 AUNTY RECALLED 4 BEING TOLD BY THE HUSBAND 5 BIRTH REGISTER 6 BOOK 7 BOOK RECORD 8 BOOK RECORD KEPT 9 BOOKS RECORDS 10 BROTHER 11 BROTHER RECALLED 12 BROTHER RECODED 13 CANT REMEMBER 14 CARETAKER 15 CERTIFICATE OF REGISTRATION 16 CHAIRMAN 17 CHILD HEALTH CARD 18 CODE GOT FROM HOUSEHOLD REGIS 19 DAD 20 DAUGHTER 21 DAUGHTER IN-LAW TO THE HHOLD 22 DAUGHTER IN-LAW TO THE HHOLD 23 DAUGHTER INLAW 24 DAUGHTER REMEMBERED 25 DRIVING PERMIT 26 FAMILY BOOK 27 FAMILY GRACE 28 FAMILY RECORD BOOK 29 FAMILY RECORDS 30 FAMILY REG 31 FAMILY REGISTER 32 FAMILY REGISTER BOOK 33 FATHER 34 FATHER RECAL 35 FATHER RECALE 36 FATHER RECALL 37 FATHER RECALLED 38 FATHER RECORDS 39 FATHERRECAL 40 FRIEND RECALLED 41 G.MUM 42 GRAND 43 GRAND MOM 44 GRAND MOTHER 45 GRAND MOTHER RECALL 46 GRAND MOTHER RECALLED 47 GRAND MOTHER REMEMBERED 48 GRAND MUM 49 GRANDCHILD RECALLED 50 GRANDFATHER 51 GRANDMOTHER 52 GRANDMOTHER CALL 53 GRANDMOTHER RECALLED 54 GRANDMOTHER REPORTED 55 GRANDMUM 56 GRANDY 57 GUARDIAN RECALLED 58 HE WROTE ALL THE CHILDRENS BI 59 HEALTH CARD 60 HIDDEN REPORT 61 HOME BIRTH REGISTER 62 HOME BORTH REGISTER 63 HOME RECORD 64 HOME REGISTER 65 HOSPITAL BOOK RECORDS 66 HOUSEHOLD REGISTER WAS USED 67 HUSBAND RECALLED 68 IDENTITY CARD 69 IMMUNISATION BOOK 70 LC RECORDS 71 LCI ROSTER 72 MARRIAGE CARD 73 MEDICAL FORM 74 MOTHER 75 MOTHER RECAL 76 MOTHER RECALL 77 MOTHER RECALLED 78 MOTHERS RECALL 79 MOTHER`S RECALL 80 MRM 81 MRM CARD 82 MUM 83 NEIGHBOR RECALLED 84 NRM 85 NRM CARD 86 NRM MEMBERSHIP CARD 87 NRM REGOSTER 88 NRN CARD 89 OCEN AND OPIO ARE TWINS 90 OTHER RECALL 91 PARENT/ BROTHER 92 PARTY CARD 93 PARTY ID 94 REAL WIFE 95 RECAL 96 RECAL WIFE 97 RECALL 98 RECALL AUNT 99 RECALL BROTHER 100 RECALL BY GRANDMOTHER 101 RECALL FATHER 102 RECALL GRANDMOTHER 103 RECALL MOTHER 104 RECALL SON 105 RECALL TRADITIONAL BIRTH ATTE 106 RECALLED 107 RECALLED BY GRANDMOTHER 108 RECALLED BY THE GRANDMOTHER M 109 RECALLED BY THE MOTHER 110 RECAll 111 RECORD BOOK 112 RECORDED DATA 113 RECORDS 114 REGISTER 115 REPORTED BY GRANDFATHER 116 ROCALL 117 SISTER 118 SOME ONE RECALL 119 SOMEBODY RESPONDED 120 SON 121 SON RECALL 122 SON RECALLED 123 SPOUSE 124 UNCLE 125 VILAGE HOUSEHOLD REGISTER 126 VILLAGE HOUSE HOLD REGISTER 127 VILLAGE HOUSEHOLD REGISTER 128 VORTERS REPORT 129 VOTERS RECIEPT 130 WIFE 131 WIFE RECALL 132 WIFE RECALLED 133 WRITTEN 134 WROTE ALL HIS CHILDRENS BIRTH Sysmiss date of interview - day date of interview - day date of interview - day date of interview - day date of interview - day 21203 54 1 31 15.023 9.074 date of interview - month date of interview - month date of interview - month date of interview - month date of interview - month 21150 107 8 9 10 11 Sysmiss date of interview - year date of interview - year date of interview - year date of interview - year date of interview - year 21257 2012 result of interview result of interview result of interview result of interview result of interview 21257 1 interviewed 2 interview incomplete 3 household not found 4 household members temporarily not at home 5 household refused 6 household moved permanently 97 others corrected age corrected age corrected age corrected age corrected age 9 21248 36 63 47.778 9.08 Individual owns a blanket Individual owns a blanket Individual owns a blanket Individual owns a blanket Individual owns a blanket 21163 94 1 Sysmiss Individual sleeps under mosquito net Individual sleeps under mosquito net Individual sleeps under mosquito net Individual sleeps under mosquito net Individual sleeps under mosquito net 20863 394 1 Sysmiss Individual sleeps under mosquito net - treated Individual sleeps under mosquito net - treated Individual sleeps under mosquito net - treated Individual sleeps under mosquito net - treated Individual sleeps under mosquito net - treated 7596 13661 1 Sysmiss Individual sleeps under mosquito net -not treated Individual sleeps under mosquito net -not treated Individual sleeps under mosquito net -not treated Individual sleeps under mosquito net -not treated Individual sleeps under mosquito net -not treated 7596 13661 1 Sysmiss Number of meals consumed yesterday Number of meals consumed yesterday Number of meals consumed yesterday Number of meals consumed yesterday Number of meals consumed yesterday 20609 648 1 2 3 4 5 6 Sysmiss Individual aged 18 plus Individual aged 18 plus Individual aged 18 plus Individual aged 18 plus Individual aged 18 plus 21257 1 Civil status - married Civil status - married Civil status - married Civil status - married Civil status - married 9227 12030 1 Sysmiss Civil status - widow/widower Civil status - widow/widower Civil status - widow/widower Civil status - widow/widower Civil status - widow/widower 9227 12030 1 Sysmiss Civil status - divorced/separated Civil status - divorced/separated Civil status - divorced/separated Civil status - divorced/separated Civil status - divorced/separated 9227 12030 1 Sysmiss Civil status - never married Civil status - never married Civil status - never married Civil status - never married Civil status - never married 9227 12030 1 Sysmiss (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod 21257 SCG 1 VFSG actual treatment status actual treatment status actual treatment status actual treatment status actual treatment status 20936 321 Control 1 Treatment 2 Do not know SAGE Sysmiss baseline treatment group baseline treatment group baseline treatment group baseline treatment group baseline treatment group 21257 Control 1 Treatment Community ID Community ID Community ID Community ID Community ID 21257 1031030102 4151140802 3072037161.203 740862583.477 District District District District District 21257 APAC KABERAMAIDO KATAKWI KIBOGA KYENJOJO MOROTO NAKAPIRIPIRIT NEBBI County County County County County 21257 CHEKWII JONAM KABERAMAIDO KALAKI KIBOGA KWANIA MARUZI MATHENIKO MOROTO MUNICIPALITY MWENGE PADYERE PIAN TOROMA USUK Sub-County Sub-County Sub-County Sub-County Sub-County 21257 ABONGOMOLA ADUKU AKOKORO ALWA ANYARA APAC ATEGO BUGAAKI BUTIITI CHAWENTE CHEGERE ERUSSI IBUJE KABERAMAIDO TOWN COUNCIL KAKOMONGOLE KALAKI KAPEKE KAPUJAN KATOOKE TOWN COUNCIL KIBOGA TOWN COUNCIL KIGARAALE KISOJO KITOOKE KUCWINY KYARUSOZI KYENJOJO TOWN COUNCIL MAGORO NABILATUK NADUNGET NAMBEISO NDHEW NEBBI TOWN COUNCIL NYANTUNGO OCHERO OMODOI PAKWACH PAKWACH TOWN COUNCIL PANYANGO PANYIMUR RUPA SOUTH DIVISION TOROMA USUK Parish Parish Parish Parish Parish 21257 AAKUM ABALANG ABANY ABAR EAST ABAR WEST ABEDI ABINDU WARD ABOKO ABONGO ABULI ABWOKODIA ABWONG ACABA ACEGERETOLIM ACENLWORO ACHERER ACHUNGI ADEM ADOLO ADYEDA AGANGA AGONG AJAR AKALI AKERE AKETO AKOKORO AKURAO AKUYAM ALARO ALIDO ALIRA ALWOROCENG AMII- AMILO AMII-ABERIDWOGO AMOR WARD AMOR WEST AMORIGOGA AMUN AMUSIA ANGODINGODI ANWANGI ANYARA AORNGA APARISIA APIRE APOI APUUTON ASURET ATANA ATIGOLWOK ATIK ATONGTIDI ATOPI ATULE ATYAK AWILA AYABI AYAGO AYEOLYEC BAMUSUUTA WARD BARAHIIJA BARODILO BORO BUCUNI WARD BUNG BURARRO BUSANZA BUTARA BUTIITI BUZIBWEERA WARD BWENZI CAMPSWAHILI JUU CAMPSWAHILLICHIN CENTRAL WARD CHEGERE CHELEUKO ENJERU ETEKOBER FOREST WARD GANDA HAKATOMA HIMA ILEE ISANDARA JUKIA WARD KABAALE KADINYA KAFUNDA PARISH KAGAA KAGOBE KAIHURA KAKERE KAKINDO KALAKI KALOKWAMERI KAMENU KAMUDA KANYALAM KAPUJAN KASABA KASEGA KASENYI KATAMBALE KATARA WARD KAYEERA KIBIRA KIBOGA TOWN WARD KIDILANI KIGOYERA KIGUNDU KIHUMIRO KIJUMA KIKODA KINOGERO PARISH KIRONGO WARD KIRULUMBA WARD KISOJO KITONGOLE KITONYA KIVUJE KOKORIO KORITOK KORYAMO KOTHIKE KUNGU KYABAGONZA KYABARANGA KYAKATWIRE KYAMITARA KYAMUGENYI KYAMUTASA KYANYABONGO WARD KYAYIMBA KYONGERA LOBODEGI LOBUNEIT LOKAALA LOPUTUK LOTIRIR MABAALE MAGORO MAJENGO MIRAMBI MITOMA MOGOTH MORUANGIBUIN MUKALE MUKUNYU MWARO WARD MYERI PARISH NABOLITH NADUNGET NAITAKWAE NAKADELI NAKOBEKOBE NAMRWODO WARD NAMTHIN WARD NATOPOJO NEBBI HILL WARD NSINDE NTOMA NYACARA WARD NYAIBANDA NYAKAGEI NYAKISI PARISH NYAMABUGA OGWIL OGWOLO OLAGO OLOLANGO OLYEJO OMID OMINYA OMWIBALE ONGEMA ONGICIA ONGOCENG OPETA ORIMAI OWEKO OWINY PACEGO PACHAKA PADOLO PAJUR PAKIA PALATAU PAMINYA LOWER PAMINYA UPPER PAMITU PAMORA UPPER PAROKETO PAYERA POKWERO PUNUATAR PUPU PUVUNGU CENTRAL PUVUNGU WEST RAMOGI RUBANGO RUHOKO RUPA RWAITENGYA RWAMUKOORA SWAGERE TAROGALI TEBOKE TEI-ORO THATHA WARD TOKORA TOROMA USUK VURR Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse 21257 1.535 53.398 18.282 7.878 Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse 21257 1.389 42.718 18.198 7.759 Village Village Village Village Village 21257 1 377 186.847 109.789 household id household id household id household id household id 2761 10310301020215 41511408020139 31271877458627.4 7576081840100.24 District District District District District 2761 APAC KABERAMAIDO KATAKWI KIBOGA KYENJOJO MOROTO NAKAPIRIPIRIT NEBBI County County County County County 2761 CHEKWII JONAM KABERAMAIDO KALAKI KIBOGA KWANIA MARUZI MATHENIKO MOROTO MUNICIPALITY MWENGE PADYERE PIAN TOROMA USUK Sub-County Sub-County Sub-County Sub-County Sub-County 2761 ABONGOMOLA ADUKU AKOKORO ALWA ANYARA APAC ATEGO BUGAAKI BUTIITI CHAWENTE CHEGERE ERUSSI IBUJE KABERAMAIDO TOWN COUNCIL KAKOMONGOLE KALAKI KAPEKE KAPUJAN KATOOKE TOWN COUNCIL KIBOGA TOWN COUNCIL KIGARAALE KISOJO KITOOKE KUCWINY KYARUSOZI KYENJOJO TOWN COUNCIL MAGORO NABILATUK NADUNGET NAMBEISO NDHEW NEBBI TOWN COUNCIL NYANTUNGO OCHERO OMODOI PAKWACH PAKWACH TOWN COUNCIL PANYANGO PANYIMUR RUPA SOUTH DIVISION TOROMA USUK Parish Parish Parish Parish Parish 2761 AAKUM ABALANG ABANY ABAR EAST ABAR WEST ABEDI ABOKO ABONGO ABULI ABWOKODIA ABWONG ACABA ACEGERETOLIM ACENLWORO ACHERER ACHUNGI ADEM ADOLO ADYEDA AGANGA AGONG AJAR AKALI AKERE AKETO AKOKORO AKURAO AKUYAM ALARO ALIDO ALIRA ALWOROCENG AMII- AMILO AMII-ABERIDWOGO AMOR WARD AMOR WEST AMORIGOGA AMUN AMUSIA ANGODINGODI ANWANGI ANYARA AORNGA APARISIA APIRE APOI APUUTON ASURET ATANA ATIGOLWOK ATIK ATONGTIDI ATOPI ATULE ATYAK AWILA AYABI AYAGO AYEOLYEC BAMUSUUTA WARD BARAHIIJA BARODILO BORO BUCUNI WARD BUNG BURARRO BUSANZA BUTARA BUTIITI BUZIBWEERA WARD BWENZI CAMPSWAHILI JUU CAMPSWAHILLICHIN CENTRAL WARD CHEGERE CHELEUKO ENJERU ETEKOBER FOREST WARD GANDA HAKATOMA HIMA ILEE ISANDARA JUKIA WARD KABAALE KADINYA KAFUNDA PARISH KAGAA KAGOBE KAIHURA KAKERE KAKINDO KALAKI KALOKWAMERI KAMENU KAMUDA KANYALAM KAPUJAN KASABA KASEGA KASENYI KATAMBALE KATARA WARD KAYEERA KIBIRA KIBOGA TOWN WARD KIDILANI KIGOYERA KIGUNDU KIHUMIRO KIJUMA KIKODA KINOGERO PARISH KIRONGO WARD KIRULUMBA WARD KISOJO KITONGOLE KITONYA KIVUJE KOKORIO KORITOK KORYAMO KOTHIKE KUNGU KYABAGONZA KYABARANGA KYAMITARA KYAMUGENYI KYAMUTASA KYANYABONGO WARD KYAYIMBA KYONGERA LOBODEGI LOBUNEIT LOKAALA LOPUTUK LOTIRIR MABAALE MAGORO MAJENGO MIRAMBI MITOMA MOGOTH MORUANGIBUIN MUKALE MUKUNYU MWARO WARD MYERI PARISH NABOLITH NADUNGET NAITAKWAE NAKADELI NAKOBEKOBE NAMRWODO WARD NAMTHIN WARD NATOPOJO NEBBI HILL WARD NSINDE NTOMA NYACARA WARD NYAIBANDA NYAKAGEI NYAKISI PARISH NYAMABUGA OGWIL OGWOLO OLAGO OLOLANGO OLYEJO OMID OMINYA OMWIBALE ONGEMA ONGICIA ONGOCENG OPETA ORIMAI OWEKO OWINY PACEGO PACHAKA PADOLO PAJUR PAKIA PALATAU PAMINYA LOWER PAMINYA UPPER PAMITU PAMORA UPPER PAROKETO PAYERA POKWERO PUNUATAR PUPU PUVUNGU CENTRAL PUVUNGU WEST RAMOGI RUBANGO RUHOKO RUPA RWAITENGYA RWAMUKOORA SWAGERE TAROGALI TEBOKE TEI-ORO THATHA WARD TOKORA TOROMA USUK VURR Community ID Community ID Community ID Community ID Community ID 2761 1031030102 4151140802 3127187767.574 757608183.319 result of interview result of interview result of interview result of interview result of interview 2761 1 interviewed 2 interview incomplete 3 household not found 4 household members temporarily not at home 5 household refused 6 household moved permanently 97 others Targeting Method Targeting Method Targeting Method Targeting Method Targeting Method 2761 OAG VFSG ELIGILITY STATUS ELIGILITY STATUS ELIGILITY STATUS ELIGILITY STATUS ELIGILITY STATUS 2761 Eligible Ineligible Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse 2761 1.535 989.994 21.855 41.539 Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse 2761 1.389 989.994 21.707 41.275 member id member id member id member id member id 2761 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 hh1 q5:gender hh1 q5:gender hh1 q5:gender hh1 q5:gender hh1 q5:gender 2761 1 male 2 female 98 dk/na Child's weight in kgs Child's weight in kgs Child's weight in kgs Child's weight in kgs Child's weight in kgs 2756 5 0.08 998 12.619 19.557 Child's height in cms Child's height in cms Child's height in cms Child's height in cms Child's height in cms 2761 1.1 485.5 86.324 18.329 Child's age in months Child's age in months Child's age in months Child's age in months Child's age in months 2761 98 30.346 17.182 Was height/length measured? Was height/length measured? Was height/length measured? Was height/length measured? Was height/length measured? 2718 43 1 Length 2 Height Sysmiss Lenght/height-for-age Z-score Lenght/height-for-age Z-score Lenght/height-for-age Z-score Lenght/height-for-age Z-score Lenght/height-for-age Z-score 2761 -29.23 234.26 -0.293 7.859 Weight-for-age Z-score Weight-for-age Z-score Weight-for-age Z-score Weight-for-age Z-score Weight-for-age Z-score 2756 5 -11.14 390.42 0.132 9.558 Weight-for-length/height Z-score Weight-for-length/height Z-score Weight-for-length/height Z-score Weight-for-length/height Z-score Weight-for-length/height Z-score 2756 5 -14.45 711.59 2.515 20.115 BMI-for-age Z-score BMI-for-age Z-score BMI-for-age Z-score BMI-for-age Z-score BMI-for-age Z-score 2748 13 -14.95 70410.398 36.967 1365.725 Outside WHO plausible range Outside WHO plausible range Outside WHO plausible range Outside WHO plausible range Outside WHO plausible range 185 2576 1 Sysmiss Outside WHO plausible range Outside WHO plausible range Outside WHO plausible range Outside WHO plausible range Outside WHO plausible range 94 2667 1 Sysmiss Outside WHO plausible range Outside WHO plausible range Outside WHO plausible range Outside WHO plausible range Outside WHO plausible range 55 2706 1 Sysmiss Outside WHO plausible range Outside WHO plausible range Outside WHO plausible range Outside WHO plausible range Outside WHO plausible range 205 2556 1 Sysmiss Is child stunted Is child stunted Is child stunted Is child stunted Is child stunted 2761 Not stunted 1 Stunted Is child wasted Is child wasted Is child wasted Is child wasted Is child wasted 2761 Not wasted 1 Wasted Is child underweight Is child underweight Is child underweight Is child underweight Is child underweight 2761 Not underweight 1 Underweight Level of stunting Level of stunting Level of stunting Level of stunting Level of stunting 2761 Not stunted 1 Moderate stunting 2 Severe stunting Level of wasting Level of wasting Level of wasting Level of wasting Level of wasting 2761 Not wasted 1 Moderate wasting 2 Severe wasting Level of underweight Level of underweight Level of underweight Level of underweight Level of underweight 2761 Not underweight 1 Moderate underweight 2 Severe underweight Village Village Village Village Village 2761 1 371 185.305 107.976 household id household id household id household id household id 4175 10310301020014 41511408020164 30816591302707.6 7509687227314.95 District District District District District 4175 APAC KABERAMAIDO KATAKWI KIBOGA KYENJOJO MOROTO NAKAPIRIPIRIT NEBBI County County County County County 4175 CHEKWII JONAM KABERAMAIDO KALAKI KIBOGA KWANIA MARUZI MATHENIKO MOROTO MUNICIPALITY MWENGE PADYERE PIAN TOROMA USUK Sub-County Sub-County Sub-County Sub-County Sub-County 4175 ABONGOMOLA ADUKU AKOKORO ALWA ANYARA APAC ATEGO BUGAAKI BUTIITI CHAWENTE CHEGERE ERUSSI IBUJE KABERAMAIDO TOWN COUNCIL KAKOMONGOLE KALAKI KAPEKE KAPUJAN KATOOKE TOWN COUNCIL KIBOGA TOWN COUNCIL KIGARAALE KISOJO KITOOKE KUCWINY KYARUSOZI KYENJOJO TOWN COUNCIL MAGORO NABILATUK NADUNGET NAMBEISO NDHEW NEBBI TOWN COUNCIL NYANTUNGO OCHERO OMODOI PAKWACH PAKWACH TOWN COUNCIL PANYANGO PANYIMUR RUPA SOUTH DIVISION TOROMA USUK Parish Parish Parish Parish Parish 4175 AAKUM ABALANG ABANY ABAR EAST ABAR WEST ABEDI ABINDU WARD ABOKO ABONGO ABULI ABWOKODIA ABWONG ACABA ACEGERETOLIM ACENLWORO ACHERER ACHUNGI ADEM ADOLO ADYEDA AGANGA AGONG AJAR AKALI AKERE AKETO AKOKORO AKURAO AKUYAM ALARO ALIDO ALIRA ALWOROCENG AMII- AMILO AMII-ABERIDWOGO AMOR WARD AMOR WEST AMORIGOGA AMUN AMUSIA ANGODINGODI ANWANGI ANYARA AORNGA APARISIA APIRE APOI APUUTON ASURET ATANA ATIGOLWOK ATIK ATONGTIDI ATOPI ATULE ATYAK AWILA AYABI AYAGO AYEOLYEC BAMUSUUTA WARD BARAHIIJA BARODILO BORO BUCUNI WARD BUNG BURARRO BUSANZA BUTARA BUTIITI BUZIBWEERA WARD BWENZI CAMPSWAHILI JUU CAMPSWAHILLICHIN CENTRAL WARD CHEGERE CHELEUKO ENJERU ETEKOBER FOREST WARD GANDA HAKATOMA HIMA ILEE ISANDARA JUKIA WARD KABAALE KADINYA KAFUNDA PARISH KAGAA KAGOBE KAIHURA KAKERE KAKINDO KALAKI KALOKWAMERI KAMENU KAMUDA KANYALAM KAPUJAN KASABA KASEGA KASENYI KATAMBALE KATARA WARD KAYEERA KIBIRA KIBOGA TOWN WARD KIDILANI KIGOYERA KIGUNDU KIHUMIRO KIJUMA KIKODA KINOGERO PARISH KIRONGO WARD KIRULUMBA WARD KISOJO KITONGOLE KITONYA KIVUJE KOKORIO KORITOK KORYAMO KOTHIKE KUNGU KYABAGONZA KYABARANGA KYAKATWIRE KYAMITARA KYAMUGENYI KYAMUTASA KYANYABONGO WARD KYAYIMBA KYONGERA LOBODEGI LOBUNEIT LOKAALA LOPUTUK LOTIRIR MABAALE MAGORO MAJENGO MIRAMBI MITOMA MOGOTH MORUANGIBUIN MUKALE MUKUNYU MWARO WARD MYERI PARISH NABOLITH NADUNGET NAITAKWAE NAKADELI NAKOBEKOBE NAMRWODO WARD NAMTHIN WARD NATOPOJO NEBBI HILL WARD NSINDE NTOMA NYACARA WARD NYAIBANDA NYAKAGEI NYAKISI PARISH NYAMABUGA OGWIL OGWOLO OLAGO OLOLANGO OLYEJO OMID OMINYA OMWIBALE ONGEMA ONGICIA ONGOCENG OPETA ORIMAI OWEKO OWINY PACEGO PACHAKA PADOLO PAJUR PAKIA PALATAU PAMINYA LOWER PAMINYA UPPER PAMITU PAMORA UPPER PAROKETO PAYERA POKWERO PUNUATAR PUPU PUVUNGU CENTRAL PUVUNGU WEST RAMOGI RUBANGO RUHOKO RUPA RWAITENGYA RWAMUKOORA SWAGERE TAROGALI TEBOKE TEI-ORO THATHA WARD TOKORA TOROMA USUK VURR Community ID Community ID Community ID Community ID Community ID 4175 1031030102 4151140802 3081657706.998 750968662.098 Village Village Village Village Village 4175 1 378 187.697 109.379 household id household id household id household id household id 2724 10310301020014 41511408020139 30987735633959.1 7441243460302.34 member id member id member id member id member id 2724 1 2 3 4 5 6 7 hh1 q5:gender hh1 q5:gender hh1 q5:gender hh1 q5:gender hh1 q5:gender 2724 1 male 2 female 98 dk/na hh1 q6:what is [name]’s relation to the head of house? hh1 q6:what is [name]’s relation to the head of house? hh1 q6:what is [name]’s relation to the head of house? hh1 q6:what is [name]’s relation to the head of house? hh1 q6:what is [name]’s relation to the head of house? 2724 1 head 2 spouse 3 son/daughter 4 grand child 5 father/mother 6 brother/sister 7 nephew/niece 8 son/daughter-in-law 9 brother/sister-in-law 10 father/mother-in-law 11 grand father/ mother 12 uncle/ aunt 13 servant and their relatives 77 other 97 others 98 dk/na female makes decision on children's education female makes decision on children's education female makes decision on children's education female makes decision on children's education female makes decision on children's education 2724 1 female makes decision on children's education - female-headed hhs excluded female makes decision on children's education - female-headed hhs excluded female makes decision on children's education - female-headed hhs excluded female makes decision on children's education - female-headed hhs excluded female makes decision on children's education - female-headed hhs excluded 1852 872 1 Sysmiss Serial Number Serial Number Serial Number Serial Number Serial Number 2682 42 2 3970 1946.676 1141.801 (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod 2724 SCG 1 VFSG actual treatment status actual treatment status actual treatment status actual treatment status actual treatment status 2682 42 Control 1 Treatment 2 Do not know SAGE Sysmiss baseline treatment group baseline treatment group baseline treatment group baseline treatment group baseline treatment group 2724 Control 1 Treatment Community ID Community ID Community ID Community ID Community ID 2724 1031030102 4151140802 3098772461.803 744124324.167 District District District District District 2724 APAC KABERAMAIDO KATAKWI KIBOGA KYENJOJO MOROTO NAKAPIRIPIRIT NEBBI County County County County County 2724 CHEKWII JONAM KABERAMAIDO KALAKI KIBOGA KWANIA MARUZI MATHENIKO MOROTO MUNICIPALITY MWENGE PADYERE PIAN TOROMA USUK Sub-County Sub-County Sub-County Sub-County Sub-County 2724 ABONGOMOLA ADUKU AKOKORO ALWA ANYARA APAC ATEGO BUGAAKI BUTIITI CHAWENTE CHEGERE ERUSSI IBUJE KABERAMAIDO TOWN COUNCIL KAKOMONGOLE KALAKI KAPEKE KAPUJAN KATOOKE TOWN COUNCIL KIBOGA TOWN COUNCIL KIGARAALE KISOJO KITOOKE KUCWINY KYARUSOZI KYENJOJO TOWN COUNCIL MAGORO NABILATUK NADUNGET NAMBEISO NDHEW NEBBI TOWN COUNCIL NYANTUNGO OCHERO OMODOI PAKWACH PAKWACH TOWN COUNCIL PANYANGO PANYIMUR RUPA SOUTH DIVISION TOROMA USUK Parish Parish Parish Parish Parish 2724 AAKUM ABALANG ABANY ABAR EAST ABAR WEST ABEDI ABINDU WARD ABOKO ABONGO ABULI ABWOKODIA ABWONG ACABA ACEGERETOLIM ACENLWORO ACHERER ACHUNGI ADEM ADOLO ADYEDA AGANGA AGONG AJAR AKALI AKERE AKETO AKOKORO AKURAO AKUYAM ALARO ALIDO ALIRA ALWOROCENG AMII- AMILO AMII-ABERIDWOGO AMOR WARD AMOR WEST AMORIGOGA AMUN AMUSIA ANGODINGODI ANWANGI ANYARA AORNGA APARISIA APIRE APOI APUUTON ASURET ATANA ATIGOLWOK ATIK ATONGTIDI ATOPI ATULE ATYAK AWILA AYABI AYAGO AYEOLYEC BAMUSUUTA WARD BARAHIIJA BARODILO BORO BUCUNI WARD BUNG BURARRO BUSANZA BUTARA BUTIITI BUZIBWEERA WARD BWENZI CAMPSWAHILI JUU CAMPSWAHILLICHIN CENTRAL WARD CHEGERE CHELEUKO ENJERU ETEKOBER FOREST WARD GANDA HAKATOMA HIMA ILEE ISANDARA JUKIA WARD KABAALE KADINYA KAFUNDA PARISH KAGAA KAGOBE KAIHURA KAKERE KAKINDO KALAKI KALOKWAMERI KAMENU KAMUDA KANYALAM KAPUJAN KASABA KASEGA KASENYI KATAMBALE KATARA WARD KAYEERA KIBIRA KIBOGA TOWN WARD KIDILANI KIGOYERA KIGUNDU KIHUMIRO KIJUMA KIKODA KINOGERO PARISH KIRONGO WARD KIRULUMBA WARD KISOJO KITONGOLE KITONYA KIVUJE KOKORIO KORITOK KORYAMO KOTHIKE KUNGU KYABAGONZA KYABARANGA KYAKATWIRE KYAMITARA KYAMUGENYI KYAMUTASA KYANYABONGO WARD KYAYIMBA KYONGERA LOBODEGI LOBUNEIT LOKAALA LOPUTUK LOTIRIR MABAALE MAGORO MAJENGO MIRAMBI MITOMA MOGOTH MORUANGIBUIN MUKALE MUKUNYU MWARO WARD MYERI PARISH NABOLITH NADUNGET NAITAKWAE NAKADELI NAKOBEKOBE NAMRWODO WARD NAMTHIN WARD NATOPOJO NEBBI HILL WARD NSINDE NTOMA NYACARA WARD NYAIBANDA NYAKAGEI NYAKISI PARISH NYAMABUGA OGWIL OGWOLO OLAGO OLOLANGO OLYEJO OMID OMINYA OMWIBALE ONGEMA ONGICIA ONGOCENG OPETA ORIMAI OWEKO OWINY PACEGO PACHAKA PADOLO PAJUR PAKIA PALATAU PAMINYA LOWER PAMINYA UPPER PAMITU PAMORA UPPER PAROKETO PAYERA POKWERO PUNUATAR PUPU PUVUNGU CENTRAL PUVUNGU WEST RAMOGI RUBANGO RUHOKO RUPA RWAITENGYA RWAMUKOORA SWAGERE TAROGALI TEBOKE TEI-ORO THATHA WARD TOKORA TOROMA USUK VURR Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse 2724 1.535 53.398 18.301 7.937 Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse 2724 1.389 42.718 18.224 7.818 Village Village Village Village Village 2724 1 377 188.842 109.442 household id household id household id household id household id 3643 10310301020014 41511408020139 30924811634821.9 7416155237358.02 member id member id member id member id member id 3643 1 2 3 4 5 6 7 8 10 hh1 q5:gender hh1 q5:gender hh1 q5:gender hh1 q5:gender hh1 q5:gender 3643 1 male 2 female 98 dk/na hh1 q6:what is [name]’s relation to the head of house? hh1 q6:what is [name]’s relation to the head of house? hh1 q6:what is [name]’s relation to the head of house? hh1 q6:what is [name]’s relation to the head of house? hh1 q6:what is [name]’s relation to the head of house? 3643 1 head 2 spouse 3 son/daughter 4 grand child 5 father/mother 6 brother/sister 7 nephew/niece 8 son/daughter-in-law 9 brother/sister-in-law 10 father/mother-in-law 11 grand father/ mother 12 uncle/ aunt 13 servant and their relatives 77 other 97 others 98 dk/na female makes decision on health female makes decision on health female makes decision on health female makes decision on health female makes decision on health 3643 1 female makes decision on health - female-headed hhs excluded female makes decision on health - female-headed hhs excluded female makes decision on health - female-headed hhs excluded female makes decision on health - female-headed hhs excluded female makes decision on health - female-headed hhs excluded 2321 1322 1 Sysmiss Serial Number Serial Number Serial Number Serial Number Serial Number 3573 70 1 3970 1967.569 1132.199 (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod 3643 SCG 1 VFSG actual treatment status actual treatment status actual treatment status actual treatment status actual treatment status 3573 70 Control 1 Treatment 2 Do not know SAGE Sysmiss baseline treatment group baseline treatment group baseline treatment group baseline treatment group baseline treatment group 3643 Control 1 Treatment Community ID Community ID Community ID Community ID Community ID 3643 1031030102 4151140802 3092479515.95 741615476.942 District District District District District 3643 APAC KABERAMAIDO KATAKWI KIBOGA KYENJOJO MOROTO NAKAPIRIPIRIT NEBBI County County County County County 3643 CHEKWII JONAM KABERAMAIDO KALAKI KIBOGA KWANIA MARUZI MATHENIKO MOROTO MUNICIPALITY MWENGE PADYERE PIAN TOROMA USUK Sub-County Sub-County Sub-County Sub-County Sub-County 3643 ABONGOMOLA ADUKU AKOKORO ALWA ANYARA APAC ATEGO BUGAAKI BUTIITI CHAWENTE CHEGERE ERUSSI IBUJE KABERAMAIDO TOWN COUNCIL KAKOMONGOLE KALAKI KAPEKE KAPUJAN KATOOKE TOWN COUNCIL KIBOGA TOWN COUNCIL KIGARAALE KISOJO KITOOKE KUCWINY KYARUSOZI KYENJOJO TOWN COUNCIL MAGORO NABILATUK NADUNGET NAMBEISO NDHEW NEBBI TOWN COUNCIL NYANTUNGO OCHERO OMODOI PAKWACH PAKWACH TOWN COUNCIL PANYANGO PANYIMUR RUPA SOUTH DIVISION TOROMA USUK Parish Parish Parish Parish Parish 3643 AAKUM ABALANG ABANY ABAR EAST ABAR WEST ABEDI ABINDU WARD ABOKO ABONGO ABULI ABWOKODIA ABWONG ACABA ACEGERETOLIM ACENLWORO ACHERER ACHUNGI ADEM ADOLO ADYEDA AGANGA AGONG AJAR AKALI AKERE AKETO AKOKORO AKURAO AKUYAM ALARO ALIDO ALIRA ALWOROCENG AMII- AMILO AMII-ABERIDWOGO AMOR WARD AMOR WEST AMORIGOGA AMUN AMUSIA ANGODINGODI ANWANGI ANYARA AORNGA APARISIA APIRE APOI APUUTON ASURET ATANA ATIGOLWOK ATIK ATONGTIDI ATOPI ATULE ATYAK AWILA AYABI AYAGO AYEOLYEC BAMUSUUTA WARD BARAHIIJA BARODILO BORO BUCUNI WARD BUNG BURARRO BUSANZA BUTARA BUTIITI BUZIBWEERA WARD BWENZI CAMPSWAHILI JUU CAMPSWAHILLICHIN CENTRAL WARD CHEGERE CHELEUKO ENJERU ETEKOBER FOREST WARD GANDA HAKATOMA HIMA ILEE ISANDARA JUKIA WARD KABAALE KADINYA KAFUNDA PARISH KAGAA KAGOBE KAIHURA KAKERE KAKINDO KALAKI KALOKWAMERI KAMENU KAMUDA KANYALAM KAPUJAN KASABA KASEGA KASENYI KATAMBALE KATARA WARD KAYEERA KIBIRA KIBOGA TOWN WARD KIDILANI KIGOYERA KIGUNDU KIHUMIRO KIJUMA KIKODA KINOGERO PARISH KIRONGO WARD KIRULUMBA WARD KISOJO KITONGOLE KITONYA KIVUJE KOKORIO KORITOK KORYAMO KOTHIKE KUNGU KYABAGONZA KYABARANGA KYAKATWIRE KYAMITARA KYAMUGENYI KYAMUTASA KYANYABONGO WARD KYAYIMBA KYONGERA LOBODEGI LOBUNEIT LOKAALA LOPUTUK LOTIRIR MABAALE MAGORO MAJENGO MIRAMBI MITOMA MOGOTH MORUANGIBUIN MUKALE MUKUNYU MWARO WARD MYERI PARISH NABOLITH NADUNGET NAITAKWAE NAKADELI NAKOBEKOBE NAMRWODO WARD NAMTHIN WARD NATOPOJO NEBBI HILL WARD NSINDE NTOMA NYACARA WARD NYAIBANDA NYAKAGEI NYAKISI PARISH NYAMABUGA OGWIL OGWOLO OLAGO OLOLANGO OLYEJO OMID OMINYA OMWIBALE ONGEMA ONGICIA ONGOCENG OPETA ORIMAI OWEKO OWINY PACEGO PACHAKA PADOLO PAJUR PAKIA PALATAU PAMINYA LOWER PAMINYA UPPER PAMITU PAMORA UPPER PAROKETO PAYERA POKWERO PUNUATAR PUPU PUVUNGU CENTRAL PUVUNGU WEST RAMOGI RUBANGO RUHOKO RUPA RWAITENGYA RWAMUKOORA SWAGERE TAROGALI TEBOKE TEI-ORO THATHA WARD TOKORA TOROMA USUK VURR Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse 3643 1.535 53.398 17.827 7.922 Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse 3643 1.389 42.718 17.737 7.791 Village Village Village Village Village 3643 1 377 188.368 109.465 household id household id household id household id household id 3622 10310301020014 41511408020139 30912734238102 7417823420660.93 member id member id member id member id member id 3622 1 2 3 4 5 6 7 hh1 q5:gender hh1 q5:gender hh1 q5:gender hh1 q5:gender hh1 q5:gender 3622 1 male 2 female 98 dk/na hh1 q6:what is [name]’s relation to the head of house? hh1 q6:what is [name]’s relation to the head of house? hh1 q6:what is [name]’s relation to the head of house? hh1 q6:what is [name]’s relation to the head of house? hh1 q6:what is [name]’s relation to the head of house? 3622 1 head 2 spouse 3 son/daughter 4 grand child 5 father/mother 6 brother/sister 7 nephew/niece 8 son/daughter-in-law 9 brother/sister-in-law 10 father/mother-in-law 11 grand father/ mother 12 uncle/ aunt 13 servant and their relatives 77 other 97 others 98 dk/na female makes decision on money female makes decision on money female makes decision on money female makes decision on money female makes decision on money 3622 1 female makes decision on money - female-headed hhs excluded female makes decision on money - female-headed hhs excluded female makes decision on money - female-headed hhs excluded female makes decision on money - female-headed hhs excluded female makes decision on money - female-headed hhs excluded 2306 1316 1 Sysmiss Serial Number Serial Number Serial Number Serial Number Serial Number 3556 66 1 3970 1962.007 1135.012 (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod 3622 SCG 1 VFSG actual treatment status actual treatment status actual treatment status actual treatment status actual treatment status 3556 66 Control 1 Treatment 2 Do not know SAGE Sysmiss baseline treatment group baseline treatment group baseline treatment group baseline treatment group baseline treatment group 3622 Control 1 Treatment Community ID Community ID Community ID Community ID Community ID 3622 1031030102 4151140802 3091271766.726 741782292.313 District District District District District 3622 APAC KABERAMAIDO KATAKWI KIBOGA KYENJOJO MOROTO NAKAPIRIPIRIT NEBBI County County County County County 3622 CHEKWII JONAM KABERAMAIDO KALAKI KIBOGA KWANIA MARUZI MATHENIKO MOROTO MUNICIPALITY MWENGE PADYERE PIAN TOROMA USUK Sub-County Sub-County Sub-County Sub-County Sub-County 3622 ABONGOMOLA ADUKU AKOKORO ALWA ANYARA APAC ATEGO BUGAAKI BUTIITI CHAWENTE CHEGERE ERUSSI IBUJE KABERAMAIDO TOWN COUNCIL KAKOMONGOLE KALAKI KAPEKE KAPUJAN KATOOKE TOWN COUNCIL KIBOGA TOWN COUNCIL KIGARAALE KISOJO KITOOKE KUCWINY KYARUSOZI KYENJOJO TOWN COUNCIL MAGORO NABILATUK NADUNGET NAMBEISO NDHEW NEBBI TOWN COUNCIL NYANTUNGO OCHERO OMODOI PAKWACH PAKWACH TOWN COUNCIL PANYANGO PANYIMUR RUPA SOUTH DIVISION TOROMA USUK Parish Parish Parish Parish Parish 3622 AAKUM ABALANG ABANY ABAR EAST ABAR WEST ABEDI ABINDU WARD ABOKO ABONGO ABULI ABWOKODIA ABWONG ACABA ACEGERETOLIM ACENLWORO ACHERER ACHUNGI ADEM ADOLO ADYEDA AGANGA AGONG AJAR AKALI AKERE AKETO AKOKORO AKURAO AKUYAM ALARO ALIDO ALIRA ALWOROCENG AMII- AMILO AMII-ABERIDWOGO AMOR WARD AMOR WEST AMORIGOGA AMUN AMUSIA ANGODINGODI ANWANGI ANYARA AORNGA APARISIA APIRE APOI APUUTON ASURET ATANA ATIGOLWOK ATIK ATONGTIDI ATOPI ATULE ATYAK AWILA AYABI AYAGO AYEOLYEC BAMUSUUTA WARD BARAHIIJA BARODILO BORO BUCUNI WARD BUNG BURARRO BUSANZA BUTARA BUTIITI BUZIBWEERA WARD BWENZI CAMPSWAHILI JUU CAMPSWAHILLICHIN CENTRAL WARD CHEGERE CHELEUKO ENJERU ETEKOBER FOREST WARD GANDA HAKATOMA HIMA ILEE ISANDARA JUKIA WARD KABAALE KADINYA KAFUNDA PARISH KAGAA KAGOBE KAIHURA KAKERE KAKINDO KALAKI KALOKWAMERI KAMENU KAMUDA KANYALAM KAPUJAN KASABA KASEGA KASENYI KATAMBALE KATARA WARD KAYEERA KIBIRA KIBOGA TOWN WARD KIDILANI KIGOYERA KIGUNDU KIHUMIRO KIJUMA KIKODA KINOGERO PARISH KIRONGO WARD KIRULUMBA WARD KISOJO KITONGOLE KITONYA KIVUJE KOKORIO KORITOK KORYAMO KOTHIKE KUNGU KYABAGONZA KYABARANGA KYAKATWIRE KYAMITARA KYAMUGENYI KYAMUTASA KYANYABONGO WARD KYAYIMBA KYONGERA LOBODEGI LOBUNEIT LOKAALA LOPUTUK LOTIRIR MABAALE MAGORO MAJENGO MIRAMBI MITOMA MOGOTH MORUANGIBUIN MUKALE MUKUNYU MWARO WARD MYERI PARISH NABOLITH NADUNGET NAITAKWAE NAKADELI NAKOBEKOBE NAMRWODO WARD NAMTHIN WARD NATOPOJO NEBBI HILL WARD NSINDE NTOMA NYACARA WARD NYAIBANDA NYAKAGEI NYAKISI PARISH NYAMABUGA OGWIL OGWOLO OLAGO OLOLANGO OLYEJO OMID OMINYA OMWIBALE ONGEMA ONGICIA ONGOCENG OPETA ORIMAI OWEKO OWINY PACEGO PACHAKA PADOLO PAJUR PAKIA PALATAU PAMINYA LOWER PAMINYA UPPER PAMITU PAMORA UPPER PAROKETO PAYERA POKWERO PUNUATAR PUPU PUVUNGU CENTRAL PUVUNGU WEST RAMOGI RUBANGO RUHOKO RUPA RWAITENGYA RWAMUKOORA SWAGERE TAROGALI TEBOKE TEI-ORO THATHA WARD TOKORA TOROMA USUK VURR Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse 3622 1.535 53.398 17.857 7.907 Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse 3622 1.389 42.718 17.771 7.783 Village Village Village Village Village 3622 1 377 188.021 109.271 household id household id household id household id household id 3980 10310301020014 41511408020164 30924912615850.7 7372639529324.47 1 descdescr 1 descdescr 1 descdescr 1 descdescr 1 descdescr 3980 Children's education 1 hh7_q6i 1 hh7_q6i 1 hh7_q6i 1 hh7_q6i 1 hh7_q6i 3979 1 1 2 3 4 5 6 7 9 96 not applicable 98 99 not in the roster Sysmiss 1 hh7_q6ii 1 hh7_q6ii 1 hh7_q6ii 1 hh7_q6ii 1 hh7_q6ii 2726 1254 1 yes 2 no 98 Sysmiss 1 hh7_q6iii 1 hh7_q6iii 1 hh7_q6iii 1 hh7_q6iii 1 hh7_q6iii 1880 2100 1 2 3 4 5 6 7 8 96 not applicable 98 99 not in the roster Sysmiss 2 descdescr 2 descdescr 2 descdescr 2 descdescr 2 descdescr 3980 Health problem 2 hh7_q6i 2 hh7_q6i 2 hh7_q6i 2 hh7_q6i 2 hh7_q6i 3980 1 2 3 4 5 6 7 8 10 96 not applicable 99 not in the roster 2 hh7_q6ii 2 hh7_q6ii 2 hh7_q6ii 2 hh7_q6ii 2 hh7_q6ii 3645 335 1 yes 2 no 98 Sysmiss 2 hh7_q6iii 2 hh7_q6iii 2 hh7_q6iii 2 hh7_q6iii 2 hh7_q6iii 1912 2068 1 2 3 4 6 7 96 not applicable 98 99 not in the roster Sysmiss 3 descdescr 3 descdescr 3 descdescr 3 descdescr 3 descdescr 3980 Investment 3 hh7_q6i 3 hh7_q6i 3 hh7_q6i 3 hh7_q6i 3 hh7_q6i 3979 1 1 2 3 4 5 6 7 10 96 not applicable 99 not in the roster Sysmiss 3 hh7_q6ii 3 hh7_q6ii 3 hh7_q6ii 3 hh7_q6ii 3 hh7_q6ii 3626 354 1 yes 2 no 98 Sysmiss 3 hh7_q6iii 3 hh7_q6iii 3 hh7_q6iii 3 hh7_q6iii 3 hh7_q6iii 2384 1596 1 2 3 4 5 6 7 8 96 not applicable 98 99 not in the roster Sysmiss serial number serial number serial number serial number serial number 3980 1 4194 2103.262 1203.557 at least 2 people share decsion on children education at least 2 people share decsion on children education at least 2 people share decsion on children education at least 2 people share decsion on children education at least 2 people share decsion on children education 2724 1256 1 Sysmiss at least 2 people share decsion on health at least 2 people share decsion on health at least 2 people share decsion on health at least 2 people share decsion on health at least 2 people share decsion on health 3644 336 1 Sysmiss at least 2 people share decsion on money at least 2 people share decsion on money at least 2 people share decsion on money at least 2 people share decsion on money at least 2 people share decsion on money 3620 360 1 Sysmiss (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod 3980 SCG 1 VFSG actual treatment status actual treatment status actual treatment status actual treatment status actual treatment status 3902 78 Control 1 Treatment 2 Do not know SAGE Sysmiss baseline treatment group baseline treatment group baseline treatment group baseline treatment group baseline treatment group 3980 Control 1 Treatment Community ID Community ID Community ID Community ID Community ID 3980 1031030102 4151140802 3092489768.58 737263910.086 District District District District District 3980 APAC KABERAMAIDO KATAKWI KIBOGA KYENJOJO MOROTO NAKAPIRIPIRIT NEBBI County County County County County 3980 CHEKWII JONAM KABERAMAIDO KALAKI KIBOGA KWANIA MARUZI MATHENIKO MOROTO MUNICIPALITY MWENGE PADYERE PIAN TOROMA USUK Sub-County Sub-County Sub-County Sub-County Sub-County 3980 ABONGOMOLA ADUKU AKOKORO ALWA ANYARA APAC ATEGO BUGAAKI BUTIITI CHAWENTE CHEGERE ERUSSI IBUJE KABERAMAIDO TOWN COUNCIL KAKOMONGOLE KALAKI KAPEKE KAPUJAN KATOOKE TOWN COUNCIL KIBOGA TOWN COUNCIL KIGARAALE KISOJO KITOOKE KUCWINY KYARUSOZI KYENJOJO TOWN COUNCIL MAGORO NABILATUK NADUNGET NAMBEISO NDHEW NEBBI TOWN COUNCIL NYANTUNGO OCHERO OMODOI PAKWACH PAKWACH TOWN COUNCIL PANYANGO PANYIMUR RUPA SOUTH DIVISION TOROMA USUK Parish Parish Parish Parish Parish 3980 AAKUM ABALANG ABANY ABAR EAST ABAR WEST ABEDI ABINDU WARD ABOKO ABONGO ABULI ABWOKODIA ABWONG ACABA ACEGERETOLIM ACENLWORO ACHERER ACHUNGI ADEM ADOLO ADYEDA AGANGA AGONG AJAR AKALI AKERE AKETO AKOKORO AKURAO AKUYAM ALARO ALIDO ALIRA ALWOROCENG AMII- AMILO AMII-ABERIDWOGO AMOR WARD AMOR WEST AMORIGOGA AMUN AMUSIA ANGODINGODI ANWANGI ANYARA AORNGA APARISIA APIRE APOI APUUTON ASURET ATANA ATIGOLWOK ATIK ATONGTIDI ATOPI ATULE ATYAK AWILA AYABI AYAGO AYEOLYEC BAMUSUUTA WARD BARAHIIJA BARODILO BORO BUCUNI WARD BUNG BURARRO BUSANZA BUTARA BUTIITI BUZIBWEERA WARD BWENZI CAMPSWAHILI JUU CAMPSWAHILLICHIN CENTRAL WARD CHEGERE CHELEUKO ENJERU ETEKOBER FOREST WARD GANDA HAKATOMA HIMA ILEE ISANDARA JUKIA WARD KABAALE KADINYA KAFUNDA PARISH KAGAA KAGOBE KAIHURA KAKERE KAKINDO KALAKI KALOKWAMERI KAMENU KAMUDA KANYALAM KAPUJAN KASABA KASEGA KASENYI KATAMBALE KATARA WARD KAYEERA KIBIRA KIBOGA TOWN WARD KIDILANI KIGOYERA KIGUNDU KIHUMIRO KIJUMA KIKODA KINOGERO PARISH KIRONGO WARD KIRULUMBA WARD KISOJO KITONGOLE KITONYA KIVUJE KOKORIO KORITOK KORYAMO KOTHIKE KUNGU KYABAGONZA KYABARANGA KYAKATWIRE KYAMITARA KYAMUGENYI KYAMUTASA KYANYABONGO WARD KYAYIMBA KYONGERA LOBODEGI LOBUNEIT LOKAALA LOPUTUK LOTIRIR MABAALE MAGORO MAJENGO MIRAMBI MITOMA MOGOTH MORUANGIBUIN MUKALE MUKUNYU MWARO WARD MYERI PARISH NABOLITH NADUNGET NAITAKWAE NAKADELI NAKOBEKOBE NAMRWODO WARD NAMTHIN WARD NATOPOJO NEBBI HILL WARD NSINDE NTOMA NYACARA WARD NYAIBANDA NYAKAGEI NYAKISI PARISH NYAMABUGA OGWIL OGWOLO OLAGO OLOLANGO OLYEJO OMID OMINYA OMWIBALE ONGEMA ONGICIA ONGOCENG OPETA ORIMAI OWEKO OWINY PACEGO PACHAKA PADOLO PAJUR PAKIA PALATAU PAMINYA LOWER PAMINYA UPPER PAMITU PAMORA UPPER PAROKETO PAYERA POKWERO PUNUATAR PUPU PUVUNGU CENTRAL PUVUNGU WEST RAMOGI RUBANGO RUHOKO RUPA RWAITENGYA RWAMUKOORA SWAGERE TAROGALI TEBOKE TEI-ORO THATHA WARD TOKORA TOROMA USUK VURR Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse 3980 1.535 53.398 17.601 7.91 Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse 3980 1.389 42.718 17.509 7.779 Village Village Village Village Village 3980 1 377 187.178 109.613 household ID household ID household ID household ID household ID 3975 10310301020014 41511408020164 30929748277178.7 7362851520122.86 Community identifier Community identifier Community identifier Community identifier Community identifier 3975 1031030102 4151140802 3092974827.71 736285152.011 Region Region Region Region Region 3975 1 Central 2 Eastern 3 Northern 4 Western District District District District District 3975 103 Kiboga 207 Katakwi 213 Kaberamaido 302 Apac 308 Moroto 310 Nebbi 311 Nakapiripirit 415 Kyenjojo County County County County County 3975 JONAM KABERAMAIDO KADAM KALAKI KIBOGA KWANIA MARUZI MATHENIKO MOROTO MUNICIPALITY MWENGE PADYERE PIAN TOROMA USUK Sub-County Sub-County Sub-County Sub-County Sub-County 3975 ABONGOMOLA ADUKU AKOKORO ALWA ANYARA APAC ATEGO BUGAAKI BUTIITI CHAWENTE CHEGERE ERUSSI IBUJE KABERAMAIDO TOWN COUNCIL KAKOMONGOLE KALAKI KAPEKE KAPUJAN KATOOKE KATOOKE TC KIBOGA TOWN COUNCIL KIGARAALE KISOJO KUCWINY KYARUSOZI KYENJOJO TC MAGORO NABILATUK NADUNGET NAMBEISO NDHEW NEBBI TOWN COUNCIL NYANTUNGO OCHERO OMODOI PAKWACH PAKWACH TOWN COUNCIL PANYANGO PANYIMUR RUPA SOUTH DIVISION TOROMA USUK Parish Parish Parish Parish Parish 3975 AAKUM ABALANG ABANY ABEDI ABER EAST ABINDU WARD ABOKO ABONGO ABULI ABWOKODIA ABWONG ACABA ACEGERETOLIM ACENLWORO ACHERER ACHUNGI ADEM ADOLO ADYEDA AGANGA AGONG AJAR AKALI AKERE AKETO AKOKORO AKURAO AKUYAM ALARO ALIDO ALIRA ALWOROCENG AMII- AMILO AMII-ABERIDWOGO AMOR WARD AMOR WEST AMORIGOGA AMUN AMUSIA ANGODINGODI ANWANGI ANYARA AORNGA APARISIA APIO APIRE APUUTON ASURET ATANA ATIGOLWOK ATIK ATONGTIDI ATOPI ATULE ATYAK AWILA AYABI AYAGO AYEOLYEC BAMUSUUTA WARD BARAHIIJA BARODILO BORO BUCUNI WARD BUNG BURARRO BUSANZA BUTARA BUTIITI BUZIBWEERA WARD BWENZI CAMPSWAHILLICHIN CENTRAL WARD CHEGERE CHELEUKO ENJERU ETEKOBER FOREST WARD GANDA HAKATOMA HIIMA ILEE ISANDARA JUKIA WARD KABAALE KADINYA KAFUNDA PARISH KAGAA KAGOBE KAIHURA KAKERE KAKINDO KALAKI KALOKWAMERI KAMENU KAMUDA KANYALAM KAPUJAN KASABA KASEGA KASENYI KATAMBALE KATARA WARD KAYEERA KIBIRA KIBOGA TOWN WARD KIDILANI KIGOYERA KIGUNDU KIHUMIRO KIJUMA KIKODA KINOGERO PARISH KIRONGO WARD KIRULUMBA WARD KISOJO KITONGOLE KITONYA KIVUJE KOKORIO KORITOK KORYAMO KOTHIKE KUNGU KYABAGONZA KYABARANGA KYAKATWIRE KYAMITARA KYAMUGENYI KYAMUTASA KYANYABONGO WARD KYAYIMBA KYONGERA LOBODEGI LOBUNEIT LOKAALA LOPUTUK LOTIRIR MABAALE MAGORO MAJENGO MIRAMBI MITOMA MOGOTH MORUANGIBUIN MUKALE MUKUNYU MWARO WARD MYERI PARISH NABOLITH NADUNGET NAITAKWAE NAKADELI NAKOBEKOBE NAMRWODO WARD NAMTHIN WARD NATOPOJO NEBBI HILL WARD NEW CAMP SWAHILI JUU NSINDE NTOMA NYACARA WARD NYAIBANDA NYAKAGEI NYAKISI PARISH NYAMABUGA OGWIL OGWOLO OLAGO OLOLANGO OLYEJO OMASIA OMID OMINYA OMWIBALE ONGEMA ONGICIA ONGOCENG OPETA OWEKO OWINY PACEGO PACHAKA PADOLO PAJUR PAKIA PALATAU PAMINYA LOWER PAMINYA UPPER PAMITU PAMORA UPPER PAROKETO PAYERA POKWERO PUNUATAR PUPU PUVUNGU CENTRAL PUVUNGU WEST RAMOGI RUBANGO RUHOKO RUPA RWAITENGYA RWAMUKOORA SWAGERE TAROGALI TEBOKE TEI-ORO THATHA WARD TOKORA TOROMA USUK VURR Targeting Method Targeting Method Targeting Method Targeting Method Targeting Method 3975 OAG VFSG ELIGILITY STATUS ELIGILITY STATUS ELIGILITY STATUS ELIGILITY STATUS ELIGILITY STATUS 3975 Eligible Ineligible Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse 3975 1.389 989.994 19.606 38.4 Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse 3975 1.535 989.994 19.75 38.783 Population weights Population weights Population weights Population weights Population weights 3975 1.535 5939.963 109.275 222.301 Rounded hh weight Rounded hh weight Rounded hh weight Rounded hh weight Rounded hh weight 3975 2 53 17.604 7.906 Rounded population weight Rounded population weight Rounded population weight Rounded population weight Rounded population weight 3975 1.535 505.255 97.673 74.38 HHH size HHH size HHH size HHH size HHH size 3975 1 22 5.343 2.983 number of adult equivalents number of adult equivalents number of adult equivalents number of adult equivalents number of adult equivalents 3975 0.774 16.765 4.07 2.27 number of children aged 6-17 in the household number of children aged 6-17 in the household number of children aged 6-17 in the household number of children aged 6-17 in the household number of children aged 6-17 in the household 3975 1 2 3 4 5 6 7 8 9 12 Monthly household expenditures in constant prices after adjusting for regional p Monthly household expenditures in constant prices after adjusting for regional p Monthly household expenditures in constant prices after adjusting for regional p Monthly household expenditures in constant prices after adjusting for regional p Monthly household expenditures in constant prices after adjusting for regional p 3975 4143.407 2499018.75 138184.192 145993.239 Monthly nominal household expenditures in market prices & after regional price a Monthly nominal household expenditures in market prices & after regional price a Monthly nominal household expenditures in market prices & after regional price a Monthly nominal household expenditures in market prices & after regional price a Monthly nominal household expenditures in market prices & after regional price a 3975 8287.738 4632593 283109.62 287761.556 Monthly consumption expenditure per adult equivalent in 2012 prices Monthly consumption expenditure per adult equivalent in 2012 prices Monthly consumption expenditure per adult equivalent in 2012 prices Monthly consumption expenditure per adult equivalent in 2012 prices Monthly consumption expenditure per adult equivalent in 2012 prices 3975 3503.129 1391710.125 79569.164 71066.383 Monthly consumption expenditure per adult equivalent in 2005/6 prices Monthly consumption expenditure per adult equivalent in 2005/6 prices Monthly consumption expenditure per adult equivalent in 2005/6 prices Monthly consumption expenditure per adult equivalent in 2005/6 prices Monthly consumption expenditure per adult equivalent in 2005/6 prices 3975 1877.146 693802.313 38750.089 35389.479 Monthly food expenses in 2012 prices (incl. bev., alchohol & tobacco) Monthly food expenses in 2012 prices (incl. bev., alchohol & tobacco) Monthly food expenses in 2012 prices (incl. bev., alchohol & tobacco) Monthly food expenses in 2012 prices (incl. bev., alchohol & tobacco) Monthly food expenses in 2012 prices (incl. bev., alchohol & tobacco) 3975 2018.462 1748383.929 185179.994 156463.056 Monthly food expenses in 2005/6 prices (incl. bev., alchohol & tobacco) Monthly food expenses in 2005/6 prices (incl. bev., alchohol & tobacco) Monthly food expenses in 2005/6 prices (incl. bev., alchohol & tobacco) Monthly food expenses in 2005/6 prices (incl. bev., alchohol & tobacco) Monthly food expenses in 2005/6 prices (incl. bev., alchohol & tobacco) 3975 924.69 800963.375 84833.993 71678.293 Monthly food expenditure per adult equivalent in 2012 prices Monthly food expenditure per adult equivalent in 2012 prices Monthly food expenditure per adult equivalent in 2012 prices Monthly food expenditure per adult equivalent in 2012 prices Monthly food expenditure per adult equivalent in 2012 prices 3975 361.078 779286.938 53051.416 46198.973 Monthly food expenditure per adult equivalent in 2005/6 prices Monthly food expenditure per adult equivalent in 2005/6 prices Monthly food expenditure per adult equivalent in 2005/6 prices Monthly food expenditure per adult equivalent in 2005/6 prices Monthly food expenditure per adult equivalent in 2005/6 prices 3975 165.416 357004.156 24303.724 21164.508 Monthly health expenses in 2012 prices Monthly health expenses in 2012 prices Monthly health expenses in 2012 prices Monthly health expenses in 2012 prices Monthly health expenses in 2012 prices 3975 4200000 7887.195 79861.25 Monthly health expenses in 2005/6 prices Monthly health expenses in 2005/6 prices Monthly health expenses in 2005/6 prices Monthly health expenses in 2005/6 prices Monthly health expenses in 2005/6 prices 3975 2288080.25 4296.794 43506.892 Monthly health expenditure per capita in 2012 prices Monthly health expenditure per capita in 2012 prices Monthly health expenditure per capita in 2012 prices Monthly health expenditure per capita in 2012 prices Monthly health expenditure per capita in 2012 prices 3975 525000 1879.264 13396.127 Monthly health expenditure per capita in 2005/6 prices Monthly health expenditure per capita in 2005/6 prices Monthly health expenditure per capita in 2005/6 prices Monthly health expenditure per capita in 2005/6 prices Monthly health expenditure per capita in 2005/6 prices 3975 286010.031 1023.787 7297.956 Monthly education expenses in 2012 prices Monthly education expenses in 2012 prices Monthly education expenses in 2012 prices Monthly education expenses in 2012 prices Monthly education expenses in 2012 prices 3975 2207671.233 25490.11 103430.781 Monthly education expenses in 2005/6 prices Monthly education expenses in 2005/6 prices Monthly education expenses in 2005/6 prices Monthly education expenses in 2005/6 prices Monthly education expenses in 2005/6 prices 3975 1202697.375 13886.527 56347.124 Monthly education expenditure per child aged 6-17 in 2012 prices Monthly education expenditure per child aged 6-17 in 2012 prices Monthly education expenditure per child aged 6-17 in 2012 prices Monthly education expenditure per child aged 6-17 in 2012 prices Monthly education expenditure per child aged 6-17 in 2012 prices 3003 972 1180684.875 11891.119 48214.395 Monthly education expenditure per child aged 6-17 in 2005/6 prices Monthly education expenditure per child aged 6-17 in 2005/6 prices Monthly education expenditure per child aged 6-17 in 2005/6 prices Monthly education expenditure per child aged 6-17 in 2005/6 prices Monthly education expenditure per child aged 6-17 in 2005/6 prices 3003 972 643214.688 6478.056 26266.286 serial number serial number serial number serial number serial number 3975 1 4194 2103.696 1203.891 date of interview - day date of interview - day date of interview - day date of interview - day date of interview - day 3965 10 1 31 15.32 9.031 date of interview - month date of interview - month date of interview - month date of interview - month date of interview - month 3955 20 8 9 10 11 Sysmiss date of interview - year date of interview - year date of interview - year date of interview - year date of interview - year 3975 2012 roster id of respondent roster id of respondent roster id of respondent roster id of respondent roster id of respondent 3950 25 99 1.449 3.839 start time start time start time start time start time 3962 13 5 9475 1252.431 278.806 end time end time end time end time end time 3927 48 24 4554 1397.323 253.58 language language language language language 3952 23 1 english 2 luganda 3 luo/langi/acholi 4 ateso 5 kuman 6 rutooro 7 karamajong 8 alur Sysmiss other language other language other language other language other language result of interview result of interview result of interview result of interview result of interview 3975 1 interviewed 2 interview incomplete 3 household not found 4 household members temporarily not at home 5 household refused 6 household moved permanently 97 others hh5_q1:lab have any members of the household left the household in last one year hh5_q1:lab have any members of the household left the household in last one year hh5_q1:lab have any members of the household left the household in last one year hh5_q1:lab have any members of the household left the household in last one year hh5_q1:lab have any members of the household left the household in last one year 3975 1 yes 2 no 98 hh6_q1:type of main dwelling that the household occupies hh6_q1:type of main dwelling that the household occupies hh6_q1:type of main dwelling that the household occupies hh6_q1:type of main dwelling that the household occupies hh6_q1:type of main dwelling that the household occupies 3975 1 independent house 2 tenement (muzigo) 3 independent flat/apartment 4 sharing house/flat/apartment 5 boys quarters 6 garage 7 hut 8 uniport 77 other 97 others 98 no response hh6_q1:type of main dwelling that the household occupies other hh6_q1:type of main dwelling that the household occupies other hh6_q1:type of main dwelling that the household occupies other hh6_q1:type of main dwelling that the household occupies other hh6_q1:type of main dwelling that the household occupies other 4 CAMP HUT/TENANT HUTS/ APARTMENT/ PER SHE DOESNT HAVE A HO hh6 q2:what is the tenure status of this household? hh6 q2:what is the tenure status of this household? hh6 q2:what is the tenure status of this household? hh6 q2:what is the tenure status of this household? hh6 q2:what is the tenure status of this household? 3975 1 owned 2 rented (normal) 3 rented (subsidized) 4 supplied free by employer 5 supplied free or rent paid by relative or other person 77 other 97 others 98 no response hh6 q2:what is the tenure status of this household - other? hh6 q2:what is the tenure status of this household - other? hh6 q2:what is the tenure status of this household - other? hh6 q2:what is the tenure status of this household - other? hh6 q2:what is the tenure status of this household - other? 10 CUSTOM TRADITI CUSTOMARY LAND FOR THE CHURCH GIVEN BY A BRO GIVEN BY A GOO SHE DOESNT HAV SHE WAS GIVEN SON'S HOUSE SUPPLIED FREE THEIR HOME hh6 q3:how many rooms are there in your household? hh6 q3:how many rooms are there in your household? hh6 q3:how many rooms are there in your household? hh6 q3:how many rooms are there in your household? hh6 q3:how many rooms are there in your household? 3975 1 2 3 4 5 6 7 8 9 10 11 18 hh6 q4:what is the major construction material of the external wall? hh6 q4:what is the major construction material of the external wall? hh6 q4:what is the major construction material of the external wall? hh6 q4:what is the major construction material of the external wall? hh6 q4:what is the major construction material of the external wall? 3975 1 thatch, straw 2 mud and poles 3 timber 4 un-burnt bricks with mud 5 burnt bricks with mud 6 burnt bricks with cement 7 cement blocks 8 stones 97 others 98 no response hh6 q4:what is the major construction material of the external wall - other? hh6 q4:what is the major construction material of the external wall - other? hh6 q4:what is the major construction material of the external wall - other? hh6 q4:what is the major construction material of the external wall - other? hh6 q4:what is the major construction material of the external wall - other? 19 CEMENT+ BRICKS AND ALSO UN BURNED BRICKS WITH MUD CEMENT, SHEETS THATCH AND STRAW MUD AND CEMENT NO HOUSE PLASTERED POLES POLES ONLY STICKS AND KAVEERA STRAW UNBURNT BRICKS AND CEMENT UNBURNT BRICKS WITH CEMENT hh6 q5:what is the major construction material of the roof? hh6 q5:what is the major construction material of the roof? hh6 q5:what is the major construction material of the roof? hh6 q5:what is the major construction material of the roof? hh6 q5:what is the major construction material of the roof? 3975 1 thatch, straw 2 iron sheets 3 tiles 97 others 98 no response hh6 q5:what is the major construction material of the roof - other? hh6 q5:what is the major construction material of the roof - other? hh6 q5:what is the major construction material of the roof - other? hh6 q5:what is the major construction material of the roof - other? hh6 q5:what is the major construction material of the roof - other? 3 POLYTHENE PAPERS-LARGE HIGH GRAMAGED KAVERA SHEETS AND THATCH AND STRAW THATCH STRAW, IRONSHEETS hh6 q6:what is the major construction material of the floor? hh6 q6:what is the major construction material of the floor? hh6 q6:what is the major construction material of the floor? hh6 q6:what is the major construction material of the floor? hh6 q6:what is the major construction material of the floor? 3975 1 earth 2 earth and cow dung 3 cement 4 mosaic or tiles 97 others 98 no response hh6 q6:what is the major construction material of the floor - other ? hh6 q6:what is the major construction material of the floor - other ? hh6 q6:what is the major construction material of the floor - other ? hh6 q6:what is the major construction material of the floor - other ? hh6 q6:what is the major construction material of the floor - other ? 21 BANANA FIBRES CEMENT CEMENT AND ALSO EARTH AND COWDUNG CEMENT AND COWDUNG CEMENT AND GRAVELS CONCRETE COWDUNG AND CEMENT GRAVVEL MUD AND COWDUNG NOT YET PLASTERED POLES SAND AND COWDUNG STONES STRAW UNBURNT BRICKS WOOD hh6 q7: what is the main source of water for drinking for you household? hh6 q7: what is the main source of water for drinking for you household? hh6 q7: what is the main source of water for drinking for you household? hh6 q7: what is the main source of water for drinking for you household? hh6 q7: what is the main source of water for drinking for you household? 3975 1 private connection to pipeline 2 public taps 3 bore-hole 4 protected well/spring 5 unprotected well 6 river, stream, lake, pond 7 vendor/ tanker truck 8 gravity flow scheme 9 rain water 97 others 98 no response hh6 q7: what is the main source of water for drinking for you household - other? hh6 q7: what is the main source of water for drinking for you household - other? hh6 q7: what is the main source of water for drinking for you household - other? hh6 q7: what is the main source of water for drinking for you household - other? hh6 q7: what is the main source of water for drinking for you household - other? 12 BOREHOLE DAM DAMS KULU UNPROTECTED SPRING SWAMP UNDERGROUND WELL UNPROTECTED RAINING WATER UNPROTECTED RUNNING WATER hh6 q8: how long does it take to collect drinking water from the main source - o hh6 q8: how long does it take to collect drinking water from the main source - o hh6 q8: how long does it take to collect drinking water from the main source - o hh6 q8: how long does it take to collect drinking water from the main source - o hh6 q8: how long does it take to collect drinking water from the main source - o 3975 1 2 3 4 5 6 7 8 9 10 12 14 15 16 17 18 20 22 25 30 34 35 40 41 42 43 45 46 50 55 60 62 65 70 75 80 90 115 120 150 160 180 195 240 260 300 480 998 don't know/n/a hh6 q8: how long does it take to collect drinking water from the main source - a hh6 q8: how long does it take to collect drinking water from the main source - a hh6 q8: how long does it take to collect drinking water from the main source - a hh6 q8: how long does it take to collect drinking water from the main source - a hh6 q8: how long does it take to collect drinking water from the main source - a 3975 1 2 3 4 5 6 7 8 10 12 13 15 20 25 26 30 35 38 40 45 50 52 55 60 62 70 80 90 120 126 130 140 150 160 180 190 220 240 300 320 360 420 480 998 don't know/n/a hh6 q9:what type of toilet is used in your household? hh6 q9:what type of toilet is used in your household? hh6 q9:what type of toilet is used in your household? hh6 q9:what type of toilet is used in your household? hh6 q9:what type of toilet is used in your household? 3975 1 covered pit latrine private 2 covered pit latrine shared 3 vip latrine private 4 vip latrine shared 5 uncovered pit latrine 6 flush toilet private 7 flush toilet shared 8 bush 97 others 98 no response hh6 q9:what type of toilet is used in your household other? hh6 q9:what type of toilet is used in your household other? hh6 q9:what type of toilet is used in your household other? hh6 q9:what type of toilet is used in your household other? hh6 q9:what type of toilet is used in your household other? 20 DIG HOLES DIGGING OF THE HOLES TO COVER THE WASTES DIGS HOLES AROUND THE HOME HOLES NO TOILET OR LATRINE SHARES WITH A FRIEND SHARES WITH NEIGHBOUR SHARES WITH OTHER FAMILIES SHARES WITH OTHERS SHARES WITH SON SHARES WITH THE NEIGHBOUR SHARES WITH THE SUN SHARING WITH ANOTHER HOUSEHOLD UNCOVERED PIT LATRINE SHARED USES FOR THE NEIBOURS BECAUSE HER'S IS DOWN hh6 q10:is your household connected to an electricity line? hh6 q10:is your household connected to an electricity line? hh6 q10:is your household connected to an electricity line? hh6 q10:is your household connected to an electricity line? hh6 q10:is your household connected to an electricity line? 3975 1 yes 2 no 98 no response/n/a hh6 q11: what is the main source of lighting in your dwelling? hh6 q11: what is the main source of lighting in your dwelling? hh6 q11: what is the main source of lighting in your dwelling? hh6 q11: what is the main source of lighting in your dwelling? hh6 q11: what is the main source of lighting in your dwelling? 3975 1 electricity (grid) 2 electricity (generator) 3 electricity (solar) 4 paraffin lantern 5 tadooba 6 firewood 7 candle 8 battery/rechargable torch/lanter 97 other 98 no response/n/a hh6 q11: what is the main source of lighting in your dwelling other? hh6 q11: what is the main source of lighting in your dwelling other? hh6 q11: what is the main source of lighting in your dwelling other? hh6 q11: what is the main source of lighting in your dwelling other? hh6 q11: what is the main source of lighting in your dwelling other? 70 CANDLES DOES EVERYTHING DURING THE DAY DOESNT LIGHT ANYTHING DRY GRASS ENTERS BED EARLY FIRE WOOD FIREWOOD GRASS GRASSES HE HAS NOTHING LIGHTS USING GRASS MARTCH BOX NATURAL LIGHT NONE SLEEPS AT DUSK SLEEPS EARLY SOLAR SOLAR LAMP hh6 q12: what type of fuel do you use most for cooking? hh6 q12: what type of fuel do you use most for cooking? hh6 q12: what type of fuel do you use most for cooking? hh6 q12: what type of fuel do you use most for cooking? hh6 q12: what type of fuel do you use most for cooking? 3975 1 electricity (grid) 2 electricity (generator) 3 electricity (solar) 4 paraffin/kerosene 5 charcoal 6 firewood 7 gas 97 other 98 no response/n/a hh6 q12: what type of fuel do you use most for cooking - other? hh6 q12: what type of fuel do you use most for cooking - other? hh6 q12: what type of fuel do you use most for cooking - other? hh6 q12: what type of fuel do you use most for cooking - other? hh6 q12: what type of fuel do you use most for cooking - other? 12 DOES NOT COOK DOES NOT WORK DOESN'T COOK DOESN'T COOK AND EATS AT SON'S HOME DOESNT COOK DOESNT COOKING DONT COOK HE DOES OT COOK HE DOESN'T COOK NONE hh6 q13: what type of cooking technology do you use in your household? hh6 q13: what type of cooking technology do you use in your household? hh6 q13: what type of cooking technology do you use in your household? hh6 q13: what type of cooking technology do you use in your household? hh6 q13: what type of cooking technology do you use in your household? 3975 1 traditional stove (sigiri) 2 traditional 3-stone open fire 3 improved charcoal stove 4 improved firewood stove 5 gas stove/cooker 6 paraffin stove 7 electric plate/cooker 97 other 98 no response/n/a hh6 q13: what type of cooking technology do you use in your household - other? hh6 q13: what type of cooking technology do you use in your household - other? hh6 q13: what type of cooking technology do you use in your household - other? hh6 q13: what type of cooking technology do you use in your household - other? hh6 q13: what type of cooking technology do you use in your household - other? 9 COOKS USING FIREWOOD AND CHARCOAL DOESN'T COOK DOESNT COOK HE DOESN'T COOK NO COOKING TECHNOLOGY NONE hh7 q1:who is the respondent for this section? hh7 q1:who is the respondent for this section? hh7 q1:who is the respondent for this section? hh7 q1:who is the respondent for this section? hh7 q1:who is the respondent for this section? 3974 1 1 2 3 4 5 6 7 9 98 n/a 99 refused to answer Sysmiss hh7 q2:have you personally raiseed an issue that is important to them at a commu hh7 q2:have you personally raiseed an issue that is important to them at a commu hh7 q2:have you personally raiseed an issue that is important to them at a commu hh7 q2:have you personally raiseed an issue that is important to them at a commu hh7 q2:have you personally raiseed an issue that is important to them at a commu 3975 1 no, would never do this 2 no, but would do if had the chance 3 yes, once or twice 4 yes, several times 5 yes, often 6 don’t know 98 n/a 99 refused to answer hh7 q3:in your opinion how likely is it that you could get together with others hh7 q3:in your opinion how likely is it that you could get together with others hh7 q3:in your opinion how likely is it that you could get together with others hh7 q3:in your opinion how likely is it that you could get together with others hh7 q3:in your opinion how likely is it that you could get together with others 3975 1 not likely at all 2 not very likely 3 somewhat likely 4 very likely 5 don’t know 98 n/a 99 refused to answer hh7 q4:do people from outside of your family come to you for advice on any matte hh7 q4:do people from outside of your family come to you for advice on any matte hh7 q4:do people from outside of your family come to you for advice on any matte hh7 q4:do people from outside of your family come to you for advice on any matte hh7 q4:do people from outside of your family come to you for advice on any matte 3975 1 yes, often 2 yes, sometimes 3 yes, rarely 4 no, never 98 n/a 99 refused to answer hh7 q5a:on which step are you today? hh7 q5a:on which step are you today? hh7 q5a:on which step are you today? hh7 q5a:on which step are you today? hh7 q5a:on which step are you today? 3975 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 98 n/a 99 refused to answer hh7 q5b:on which step are most of your neighbours today? hh7 q5b:on which step are most of your neighbours today? hh7 q5b:on which step are most of your neighbours today? hh7 q5b:on which step are most of your neighbours today? hh7 q5b:on which step are most of your neighbours today? 3975 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 98 hh9 q1: does any member of this household currently own any land? hh9 q1: does any member of this household currently own any land? hh9 q1: does any member of this household currently own any land? hh9 q1: does any member of this household currently own any land? hh9 q1: does any member of this household currently own any land? 3975 1 yes 2 no 98 hh9 q2:how many acres are owned in total by members of this household? hh9 q2:how many acres are owned in total by members of this household? hh9 q2:how many acres are owned in total by members of this household? hh9 q2:how many acres are owned in total by members of this household? hh9 q2:how many acres are owned in total by members of this household? 3554 421 998 6.535 46.865 hh9 q3:how many acres of land owned by the household are cultivated for agricult hh9 q3:how many acres of land owned by the household are cultivated for agricult hh9 q3:how many acres of land owned by the household are cultivated for agricult hh9 q3:how many acres of land owned by the household are cultivated for agricult hh9 q3:how many acres of land owned by the household are cultivated for agricult 3554 421 998 8.266 78.419 hh9 q4:how many acres of land owned by the household are currently rented out? hh9 q4:how many acres of land owned by the household are currently rented out? hh9 q4:how many acres of land owned by the household are currently rented out? hh9 q4:how many acres of land owned by the household are currently rented out? hh9 q4:how many acres of land owned by the household are currently rented out? 3554 421 998 54.661 226.707 hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by 3975 1 yes 2 no 98 dk/n/a hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by 965 3010 998 4.882 55.731 hh10 q1: how would you describe the situation of your household now, in terms of hh10 q1: how would you describe the situation of your household now, in terms of hh10 q1: how would you describe the situation of your household now, in terms of hh10 q1: how would you describe the situation of your household now, in terms of hh10 q1: how would you describe the situation of your household now, in terms of 3975 1 doing very well 2 doing well 3 doing just ok 4 struggling 5 unable to meet household needs 98 dk/n/a hh10 q2:compared with a year ago would you say that your household is doing bett hh10 q2:compared with a year ago would you say that your household is doing bett hh10 q2:compared with a year ago would you say that your household is doing bett hh10 q2:compared with a year ago would you say that your household is doing bett hh10 q2:compared with a year ago would you say that your household is doing bett 3952 23 1 a lot better off 2 a little better off 3 about the same 4 a little worse off 5 a lot worse off 6 can’t/won’t say 98 dk/n/a Sysmiss hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? 3851 hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? 1501 2474 1 loss of productive household member (death) 2 loss of productive household member (leaving hh) 3 illness/injury of household member 4 loss of hhs own animals 5 loss of hhs own land or water resources 6 loss of access to land, water or other natural resources for production 7 loss of other productive assets (tools, machinery etc) 8 less income or loss of job 9 less income from animal husbandry, fishing or farming – lower volume of produciton 10 less income from animal husbandry, fishing or farming – higher input costs or lower sales prices 11 less income from animal husbandry, - lower volume of sales 12 less income from other houseold business 13 increased number of dependents 14 large expenditure due to ill health or death of hh member (inc funeral) 15 large expenditure on social obligations 16 increased cost of food 17 increased cost of fuels, transport or other necessities 18 debt repayments 19 loss of aid (ex. ngo programme finishing) 97 other 98 Sysmiss hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? 2497 . AV TRIED GROWING FLOWERS BUT ALOT HAS BEEN DAMAGED BY PEST CANT DIG THE FARM CROPS CULTIVATED ARE WASHED BY RUNNING WATER FROM THE GARDENS DOES NOT HAVE MONEY FOR BASIC NEEDS FLOODS FLOODS AFFECTED THEIR CROPS FOOD IS NOT ENOUGH THIS YEAR GETTING WEAKER EVERYDAY HAD NO FOOD HE AND HIS WIFE ARE SICK HEAVY RAINFALL WASHED AWAY CROPS FROM THE GARDEN HOUSE AND EVRYTHING IN IT GOT BURNT HUNGER,NO CLOTHING I AM GETTING OLD AND WEAK DAY BY DAY I DID NOT GET ENOUGH MONEY TO SEND MY CHILDREN TO SCHOOL I HAVE GROWN OLD AND GOT POOR HEALTH SO CANT WORK AS BEFORE I NO LONGER DIG AND HAVE ENOUGH FOOD LIKE I USED TO I WAS BITTEN BY A SNAKE THEY HAD TO CUT OFF MY LEG IMPRISONMENT OF A HOUSEHOLD MEMBER INCREASE IN FOOD PRICES,ILLNESS AND SICKNESS AND LACK OF CLOTHIN INCREASED COST OF FOOD LACK OF FOOD IN THE HOUSE LACK OF FOOD, LACK OF LAND , SICKNESS LACK OF FOOD, SICKNESS OF THE CHILDREN, ILLNESS LACK OF RAIN FALL LACK OF RELIABLE RAINFALL LARGE EDUCATION EXPENCES AND YET THEY ARE NOT PERFORMING LARGE EXPENDITURE ON EDUCATION LARGE EXPENDITURE ON OTHER ELDER SONS WHO WERE IMPRISONED LATE RETURN OF RAIN INTERFEARED WITH AGRICULTURAL ACTIVITIES LESS FOOD PRODUCTION LESS PROODUCTION LITTLE ABILITY TO PARTICIPATE IN FIELDWORK LOW CROP YIELD LOW OUTPUT FROM AGRICULTURAL PRODUCTS LOW PRICES OF FOOD LOW YIELD FROM CROPS LOW YIELDS MANY RESOURCES HAS BEEN WASTED TO MEET COURT EXPENCES MIGRATED FROM KYENJOJO MIGRATION INTO A NEW PLACE MOST OF CROPS HAVE BEEN AFFECTED BY FLOODS MY AGRICULTURAL PRODUCES WERE STOLEN NO ANIMALS FOR SALE NO CAPITAL FOR BUSINESS. ILLNESS AND SICKNESS. NO EMPLOYMENT NO FOOD NO FOOD , THE LAND IS INFERTILE FOR MATOKE NO FOOD TO EAT NO FOOD TO EAT LEADING TO HUNGER NO FOOD TO EAT THIS YEAR NO FOOD,SICKNESS NO MONEY NO MONEY TO TAKE CARE OF MY OLD MUM NO MONEY TO USE FOR BUILDING NO MONEY,LACK OF FOOD,ILLNESS. NO MUCH PRODUCTION NO PROPER RAINFALL, NO FOOD NO PROPER RAINFALL;POVERTY;POOR YIELD NO RAINFALL, POVERTY NO RAINFALL. LACK OF FOOD. FLOODING. NOT CULTIVATED ANYTHING THIS YEAR SO NO FOOD TO EAT OLD AGE OLD AGE HAS AFFECTED HIS STRANGTH PHISICALLY WEAK AND OFTENLY CANT DIG POOR FARMING METHODS POOR YIELD, POVERTY POOR YIELD. NO MONEY POVERTY, POOR YIELDS RAIN AND BAD WEATER ,DISTANCE FROM HOME RISE IN PRICE OF GOODS SCHOOL HAS BECOME VERY EXPENSIVE AND CHILDREN HAVE TO STUDY SHE IS VERY WEAK TO ACTIVILY PARTICIPATE IN FARM WORK SHORTAGE OF FOOD , LACK OF MONEY SINGLE MOTHER SOME CROPS CULTIVATED WERE SWEPT BY RUNNING WATER STOLE MY MONEY (THEFT),LOSS OF COWS THE HH IS AGEING AND BECOMING WEAKER UNABLE TO WORK THE HOUSE GOT BURNT AND I HAVENT BUILT A SERIOUS HOUSE THE HOUSEHOLD DID NOT CULTIVATE ANYTHING THIS AGRICULTURAL YEAR THERE ARE NO MONEY IN PEOPLES HANDS, THINGS ARE EXPENSIVE THERE HAS BEEN HUNGER BECAUSE OF LACK OF LAND TO FARM THERE IS ALOT OF HUNGER THERE IS NO ENOUH FOOD STUFF IN THE HOUSE THERE IS NOT ENOUGH FOOD STUFF IN THE HOME THERE IS TOO MUCH SUNSHINE AFFECTING CROPS THERE WAS ENOUGH FOOD PRODUCED LAST YEAR THEREFORE LOW FOOD PRODUCTION THEY DIDNT CULTIVATE ANYTHING THIS AGRICULTURAL SEASON THEY WANT TO CHASE HIM FROM HIS LAND THIS YEAR THE FLOODS HAVE DESTROYED ALL MY FOOD AND HOUSE TOO MUCH RAIN THAT HAS SPOILED THE CROPS IN THE GARDEN TWO MUCH SUNSHINE DESTROYED CROPS VERY OLD AND CANNOT FEED OURSELVES WELL VERY OLD AND WEAK VERY WEAK,NEEDY AND OLD hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? 3622 . A LOT OF RAINFALL WHICH DESTROYED THE CROPS A LOT OF SICKNESS AMONG HH MEMBERS A LOT OF SICKNESS IN THE FAMILY A LOT OF SUNSHINE A LOT OF WATER HAS DESTROYED OUR CROPS ABSENCE OF GOOD MARKET ACCIDENT ACCUMULATED DEBTS ACUTE TB MY EYES CANT SEE WELL ADVERSE CLIATE , PESTS ADVERSE CLIMATE ADVERSE CLIMATE AFFECTING CROP YIELDS ADVERSE CLIMATE CONDITION ADVERSE CLIMATE NOT GOOD FOR CROPS CAUSING DAMAGE ADVERSE CLIMATIC CONDITION ADVERSE CLIMATIC CONDITIONS ADVERSE CLIMATIC CONDITIONS,NO ENOUGH RAINS FOR CROPS ADVERSE CLIMATIC CONDTION AGE AGE AND MATURE AGEING BREADWINNERS . CHILDREN TAKING ALL THE MONEYFEES AGEING SO CANT WORK AGRI PRODUCE ARE LOW AGRICULTURAL PEST AGRICULTURAL PEST AFFECTING CROPS HENCE LOW PRODUCE AGRICULTURAL PEST DESTROYED BEANS AGRICULTURAL PEST DESTROYED THE BEANS AGRICULTURAL PESTS AGRICULTURAL PESTS AND DISEASES AIDING PROJECT ENDING ALL THE CROPS I HAD CULTIVATED WERE DESTROYED BY THE FLOODS ALOT OF MONEY WAS SPENT ON TREATMENT ALOT OF PEST AND LACKED SEEDS TO PLANT ALOT OF RAINFALL ALOT OF RAINFALL AND INFLATION ALOT OF RAINFALL HAS DESTROYED OUR CROPS ALOT OF RAINFALLS THAT FLOODED AND DESTROYED MY CROPS ALOT OF SUNSHINE ALOT OF SUNSHINE BURNING THE CROPS ALOT OF SUNSHINE SO CROPS ARE DRYING UP ALOT OF SUNSHINE THAT DESTROYS OUR CROPS AM BECOMING WEAK AND SICKLY AM GETTING WEAK OLD TO SURVIVE AM NOW OLD AND WEAK ANIMAL DISEASE WERE JUST TOO MUCH ASMATIC IS CHRONOCAL DISEASE CAUSED NATURALLY AVAILABILITY OF RAINFALL BAD CLIMATE BAD CLIMATE AND POOR SOIL BAD CLIMATE BECAUSE OF TOO MUCH SUNSHINE AND RAINFALL BAD CLIMATE, TOO MUCH SUNSHINE BAD CLIMATIC CHANGE BAD CLIMATIC CONDITION BAD CLIMATIC CONDITIONS BAD ROADS BAD WEATHER BAD WEATHER (FLOODING) BAD WEATHER AND DELAY IN RAINY SEASON BAD WEATHER AND LESS LABOUR FOR FOOD PRODUCTION BAD WEATHER AND RAIN COMING LATE BAD WEATHER CONDITION BAD WEATHER CONDITIONS BAD WEATHER CONDITIONS IN THE AREA BAD WEATHER CONDITIONS THAT DESTROYS CROPS BAD WEATHER WHICH HAS DAMAGED CROPS IN THE GARDEN BAD WEATHER WITH MUCH SUN BAD WETHER CONDITIONS BECAUSE I HAD NOTHING TO SELL AND STRIVE ON BECAUSE OF THE OLD AGE AND SICKNESS I CAN NOT DIG BECAUSE THE FLOODS DESTROYED ALL THE CROPS BECAUSE THE LITTLE MONEY LEFT WAS SPEND ON TREATMENT BEING REDUNDANT DUE TO OLD AGE BODY WEAKNESS AND OLD AGE BODY WEKNESS DUE TO SICKNESS BUSINESS IS DOWN THIS YEAR CALAMITIES/FLOODING CAN NOT TELL WHY THERE IS LOW PRODUCTION OF CROPS CAN'T TELL WHAT IS HAPPENING WITH THE SCHOOL CANCER CANT SAY CANT SAY WHAT WENT WRONG CAR ACCIDENT CHANG IN LIFE CIRCUMSTANCES CHANGE IN CLIMATIC CONDITIONS CHANGE IN FAMILY CHANGE IN FAMILY LIFESTYLE CHANGE IN LIFE CHANGE IN LIFE CIRCUMSTANCE CHANGE IN LIFE AGING BREAD WINNER CHANGE IN LIFE CIRCUMSTANCE CHANGE IN LIFE CIRCUMSTANCES CHANGE IN THE WEATHER CONDITIONS CHANGE OF LIFE CIRCUMSTANCES CHANGE OF WEATHER IS WASN`T FAVOURABLE CHANGES IN CLIMATE PATTERNS IN THE AREA CHANGES IN DEMAND CHANGES IN WEATHER CONDITION CHILDREN GOT MARRIED CLIMATE CLIMATE CHANGE CLIMATE CHANGES CLIMATE DID'NT FAVOUR CROPS CLIMATE FAILURE CLIMATIC CHANGE CLIMATIC CHANGE,LOW PRODUCE MEANS LOW INOME CLIMATIC CHANGES CLIMATIC CONDITION CLIMATIC CONDITION CAUSING FLOODING CLIMATIC FAILURE CONFLICT CONFLICT AMONG CHILDREN OVER LAND CONFLICT BETWEEN TURKANA AND JIE MADE ME RUN TO MOTOTO CONFLICT WITH OTHER RELATIVES-THIEVES CONFLICTS AND MISUNDERSTUNDING CONSTANT CONSTANT LAND WRANGLING CONSTANT SICKNESS CONSTANT SICKNESS HAS LET TO LOW PRODUCTION CROP DISEASE, BANANA DISEASE CROP FAILURE CROPS ARE PRODUCING POOR YIELDS BRCAUSE THEY GET ROTTRN IN THE GARDENS CROPS DESTROYED BY FLOODS CROPS FAILURE CROPS LOST CROPS WERE AFFECTED BY PESTS CROPS WERE DESTROYED DEATH DEATH AND DISEASES DEATH OF A HHOLD MEMBER DEATH OF FAMIMILY MEMBERS DEATH OF FIRST BORN SON WHO WAS PROVIDING FOR THE HHOLD DEATH OF HER HUSBAND RENDERED HIM VULNERABLE DEATH OF HHOLD HEAD DEATH OF HOUSEHOLD HEAD DEATH OF MY HUSBAND DEATH OF THEIR FATHER AND MOTHER DELAYED RAINS HENCE POOR HOUSES DEPARTURE OF HER BELOVED PASTURE AND UNEMPLOYMENT DEPENDS ON OTHER HOUSEHOLDS FOR SUPPORT BECAUSE THE WIFE CANT DO THING DESEASE MALARIA DESTRUCTION CAUSED BY RAINFALL DESTROYED AGRICULTURAL PRODUCT DESTRUCTION OF CROPS BY HAIL STORMS DIABETES (SICKNESS) DIABETTES DID NOT CULTIVATE BECAUSE OF SICKNESS DID NOT CULTIVATE DUE TO SICKNESS DIED OF SICKNESS DISABILITY DISEASE DISEASE (SICKNESS OF THE UTERUS) DISEASE AFFECTING SIRGUM DISEASE AND OLD AGE DISEASE AND SICKNESS DISEASE HENCE AFFECTING WORK DISEASE OF CHILDREN DISEASE OF THE WOMAN CANNOT CULTIVATE BECAUSE OF BODY WEAKNESS DISEASE,COUGH AND FLUE WEAKENED MY BODY DISEASE/ OPERATION DISEASE/PESTS DISEASES DISEASES , NO RAINFALL DISEASES AND SICKNESS DISEASES ATTACKED US DISEASES E.G PRESSURE ,SICKNESS IN THE STOMACH DISEASES HAD BEEN KILLING THEM DISEASES LIKE DIABETIS, OVER SUNSHINE DISEASES LIKE MALARIA DISEASES, OVERSUNSHINE DISEASES, POOR YIELDS DISEASES,TOO MUCH SUN DISEASES/DIABETES DISEASESS DISIESES DON'T KNOW DONT HAVE ENERGY AS AM SICK AND TOO OLD DROUGHT DROUGHT AFFECTED THE FIELDS DROUGHT PROLONGED DROUGHT/TOO MUCH SUN DUE FLOODS DUE TO ALOT OF FLOODS DUE TO BAD ROADS DUE TO CLIMATIC CHANGE DUE TO DALAYED RAINFALL DUE TO FLOODS ALL THE CROPS ARE DESTROYED DUE TO HIGH RAINFALL DUE TO INCREASED DEPENDENTS DUE TO LITTLE RAINFALL DUE TO LOW RAINFALL DUE TO MUCH SUNSHINE DUE TO OLD AGE NO ENERGY DUE TO OLD AGE SHE DOESN'T DO ANY BUSINESS DUE TO RAINS MAKING WATER LODGING DUE TO RENTING LAND WHICH IS NOT FERTILE DUE TO SICKNESS DUE TO SICKNESS SHE CANT WORK LIKE BEFORE DUE TO SICKNESS WE HAVE NOT CULTIVATEE ALOT DUE TO TOO MUCH SUNSHINE EARLY PREGNANCY ECONOMIC ACTIVITIES NOT BOOMING HENCE LOW INCOME ECONOMY IS BAD EFFECTS OF PESTS ELDERLY DISEASES AND STRESS EXTENDED FAMILY FALLEN SICK THAT RENDERED THE WEAK FIGHTING IN THE KARAMOJA REGION FIRST HARVEST WAS DESTROYED FLOOD FLOOD HEAVY RAINS FLOODING FLOODING IN THE GARDENS FLOODING OF GARDEN FLOODING OF GARDENS FLOODS FLOODS DESTROYED THE FOOD FLOODS WASHED AWAY THE CROPS FOOD IS EXPENSIVE FREQUENT ILLNESS FREQUENT SICKNESS OF SPOUSE TO HEAD OF HOUSEHOLD FREQUENT SICKNESS AND ILLNESS FREQUENT SICKNESS OF HOUSEHOLD HEAD GENERAL WEAKNESS IN THE BODY GETTING OLD AND WEAK GETTING OLDER AND WEAK GETTING OLDER. GETTING WEAKER AND OLD GETTING WEAKER EVERY YEAR GOT A MYSTERIOUS ATTACK THAT KILLED HIM GOT AN INJURY GOVERNMENT POLICIES ON FOOD STUFFS GROWING POPULATION HAD NO ONE TO HELP ME WITH FARMING HAIL STONES AFFECTED THE CROPS HD SOLD SOME OF THE ANIMALS HE CHANGED HIS MIND ABOUT ME AND GOT OTHER WOMEN HE HAS BEEN SICK FOR A LONG TIME HE HAS BEEN SICK FOR ALONG TIME HE HAS BEEN SICK FOR THE LAST 5 MONTHS SO HE COULD NOT WORK HE WAS ILL FOR A LONG TIME HEAD OF HOUSEHOLD DOES NOT WORK HEAD OF THE HOUSEHOLD BECAME SICK FOR A PERIOD OF TWO MONTHS HEART PROBLEM HEAVY FLOOD HEAVY FLOODS DESTROYING CROPS HEAVY RAIN DESTROYED CROPS HEAVY RAINFALL HEAVY RAINS CAUSING FLOADING HEAVY RAINS FALL WITHSNOW DESTROYED WHAT WE PLANTED HEE IS WEEK CANT DO ANY THING HIGH COMMODITY PRICES HIGH COST OF FOOD HIGH COST OF FOOD AND INCREASE RESPONSIBILITIES TO GRAND HIGH COST OF LIVING HIGH COST OF LIVING AND BAD CLIMATE HIGH EXPENDITURE ON FEES HIGH EXPENSE ON EDUCATION HIGH SUNSHINE. NO RAINS HIGH TAXES FROM THE GOVT HOUSEHOLD MEMBERS ARE MORE SICKLY HUNGER BROUGHT WEAKNESS AND SICKNESS HUSBAND LEFT HOME AND WENT AWAY HWAKERS WHO MOVE WITH CLOTHES UP TO THE CUSTOMERS I AM AGED AND FEELING WEAKER I AM OLD NOW I DONT DIG FOR MY MEMBERS I AM THE ONLY BREAD WINNER IN THE HOUSEHOLD I BORROWED I CAN NO LONGER DIG MY MY FARM I CAN NOT TELL EXACTLY WHAT THE PROBLEM IS I CANNOT TELL ITS JUST THE NATURE I DEVELOPED WOUNDS IN THE STOMACH I DIDN'T CULTIVATE ENOUGH I DNT HAVE ENERGY I DON'T KNOW SOMETHING HAS CHANGED I DONT HAVE MONEY TO RENT LAND I DONT HAVE MY OWN LAND TO CULTIVATE I FELL SICK SHORTLY AND COULD NOT MANAGE TO DIG ALOT I GOT AN INJURY ON THE LEG WHEN FARMING I HAVE BEEN FALLING SICK A LOT AND CANT FARM MUCH I HAVE GROWN OLD I HAVE LESS ENERGY TO CULTIVATE DUE TO OLD AGE I NO LONGER DIG DUE TO OLD AGE I NO LONGER HAVE ENOUGH ENERGY TO CULTIVATE A BIG PIECE OF LAND I QUARELLED WITH MY WIFE I SPENT ALOT OF TIME IN HOSPITAL,SO I DID NOT CULTIVATE I STATED DIGGING LATE DUE TO TOO MUCH SUN I WAS AMBUSHED I WAS CHASED FROM HOME BY MY PARENTS ICREASED NUMBER OF RESPONDENTS ILLNESS ILLNESS AND POOR CLIMATE ILLNESS FORCED HER O GET LOAN ILLNESS OF HEAD OF HOUSES ILLNESS OF HOUSEHOLD HEAD ILLNESS OF MY DOUGHTER HAD TO TAKE CARE OF HER IN HOSPITAL ILLNESS OF PRODUCTIVE MEMBER ILLNESS OF THE HH HEAD AND WIFE ILLNESS OF THE HOUSEHOLD ILLNESS/ DISEASE ILLNESSS OF THE HEAD OF HH ILNESS OF HOUSEHOLD HEAD IMMIGRATION (MZEE JOINED MY HOUSEHOLD) &HIS FAMILY IMPACT OF CLIMATIC FAILURE INADEQUATE INCOME INADEQUATE LABOUR AND CLIMATIC CONDITION INADEQUATE LABOUR TO CULTIVATE INADEQUATE LAND AREA INCREASE COSTS OF FOOD INCREASE NUMBER OF DEPENDANTS INCREASED EXPENDITURE ESPECIALLY SCHOOL FEES INCREASED NO OF DEPENDANTS INCREASED NUMBER OF DEPENDANTS INCREASED PRICES FOR COMMODITIES INJURED MY LEG THE TIME WAS FETCHING FIRE WOOD INJURY INJURY / DISEASE INJURY /DISEASE INJURY /DISEASES INJURY AND DISEASES INJURY AT THE BACK INJURY DISEASE INJURY/DISEASE INJURY/DISEASES INSUFFICIENT CASH TO MEET BASIC NEEDS ISUFICIENT RAINS IT DID NOT RAIN MUCH IN THE PLACE IT WAS SUNNY IT WAS SUNNY THIS SEASON IWAS SICK EARLY THIS YEAR KIDNEY FAILURE LACK OF A GOOD JOB TO EARN ENOUGH MONEY LACK OF ACCESS TO LAND DUE TO FLOODS LACK OF EMPLOYMENT OR JOBS IN THE ARREARS LACK OF ENOUGH FOOD AND OTHER COMMODITIES LACK OF ENOUGH LAND FOR AGRICULTURE LACK OF ENOUGH MONEY TAKE CARE OF THEM LACK OF ENOUGH SUPPORT LACK OF HUMAN RESOURCES LIKE MAN LABOUR LACK OF INVESTMENT IN THE HH IN THE PAST YEAR LACK OF JOB OPPORTUNITY LACK OF MONEY FOR TREATMENT LACK OF RESOURCES LACK OF RESOURCES FOR CULTIVATING LACK OF STRENGTH TO WORK IN THE GARDEN LAND GETS UNFERTILE AFTER SOME TIME AND NEEDS A BREAK LAND HAS BECOME LESS PRODUCTIVE LAND WRANGLES LARGE NUMBER OF BROTHER LAND INHERITORS WHICH RESULTED IN SHARING OF LAST YEAR I ONLY CONCENTRATED ON COTTON LEADING TO LESS PRODUCTION OF FOOD LESS CUSTOMERS LESS FOOD PRODUCTION IN A WAY I CAN'T REALLY EXPLAIN LESS FOOD PRODUCTION IN AGRICULTURE LESS INCOME, FISHING OR FARMING, LOWER INCOME OF PRODUCTION LESS MARKET FOR THE GOODS AND SERVISCES DUE TO TO DOWN FALL IN THE ACT LESS MONEY GOT FROM THE BUSINESSES DONE BY THE HOUSEHOLD HEAD LESS RESOURCES FOR CULTIVATION AND DISEASES LESS SALES , LOSS ANIMALS LESS SALES,FIRE LESS TRADE, NO BUSINESS IN AREA TO SURVIVE LESS TRADING LESS TRADING ACTIVITIES LESS TRADING ACTIVITY IN THE AREA LESS TRADING IN THE AREA LESS/FEWER CUSTOMERS LIMITED LABOUR FOR CULTIVATION BECAUSE ONE FAMILY MEMBER IS SICK LITTLE INCOME FROM THE HOUSEHOLD LITTLE LAND NO PRODUCT FOR SALE LITTLE RAIN LITTLE RAINFALL LITTLE RAINFALL,SICKNESS,LOW PRODUCTS TO SELL LITTLE RAINNY SEASON LIVESTOCK RAIDED LONG DISTANCE TO LAND FOR CULTIVATION LONG DROUGHT LONG DRY SPELL LONG ILLNESS BY THE SON LONGIME ILLNESS OF PRODUCTIVE HOUSEHOLD LOSS OF ANIMALS LOSS OF ANIMALS WHICH WERE TAKEN BY THE K'JONG OF JIE LOSS OF JOBS LOSS OF PRODUCTS FROM THE GARDENS FOR SALE LOST HOUSEHOLD HEAD WHO COULD HELP GET LAND LOST PRODUCTIVE COWS LOST THE FAMILY MEMBERS LOTS OF BODY PAIN LOTS OF PRODUCTIVE MEMBER OF HHOLD LOW DEMAND IN THE MARKET LOW LAOUR SUPPLY ON AGRICULTURAL PRODUCTION DUE TO OLD AGE LOW MILK PRODUCTION LOW OUTPUT FROM AGRICULTURE LOW OUTPUT FROM FARMING LOW PRODUCE LOW PRODUCTION IN AGRICULTURE LOW PRODUCTIVE INCOME IN TERMS OF SALES LOW RAINFALL LOW YIELD FROM FARM MADNESS WAS NATURAL MAJORITY OF PEOPLE HAD GROWN GROUNDNUTS AND SOYA BEANS, LOW PRICES MALARIA MARKET CLOSED WHERE SHE WAS RUNNING A HOTEL MIGRATION MILD ILLNESS MILD SICKNESS MISUNDERSTANDING/CONFLICT MONEY BECOMING VALUELESS MONKEYS ATE ALL THE GROUNDNUTS AND BEANS MORE SUNSHINE MOST OLD AGE HOUSEHOLD MEMEBRS HAVE LEFT THE HOUSE MUCH SUNSHINE MY CHILDRENS ARE JOINING INSTITUTIONS MY HARDWORK AND ALSO BECAUSE AM DOING WELL MY HSE FELL DUE TO ADVERSE CLIMATIC CONDITIONS MY HUSBAND DIED AND LEFT ME WITHOUT ANY SAVINGS MY HUSBAND HAS MANY WIVES AND CHILDREN MY HUSBAND IS MENTALLY ILL SOMETIMES , SO HE CANNOT WORK MY HUSBAND WAS AWAY FOR SOMETIME SO IT WAS DIFFICULT FOR THE FAMILY MY LAND WAS GRABBED FROM ME AND SOLD OFF MY LEG GOT BROKEN MY NAME WAS SCRAPPED FROM PAY ROLL MY SICK AND DISABLED NOTT ABLE TO CULTIVATE MY SON LOST THE WIFE MY STRENGTH IS NOW WEAKENED MY TRANSFER TO ANOTHER SUB- COUNTRY MY WIFE LEFT AND I HAD STRUGGLE TO LOOK FOR HER (SPENT ALOT) MY WIFE WAS OPERATED AND STOPPED FROM WORKING NATURAL CAUSE NATURAL CAUSES NATURAL DISEASES NATURAL SICKNESS NATURE NEVER WORKS DUE TO OLD AGE NO ASSETS IN HOUSEHOLD/UNRESOURCEFUL HOUSEHOLD NO ASSETS TO GENERATE INCOME,NO LAND NO ASSETS, CHANGE IN NATURE AND LIFE NO BUSINESS, NO SALES FROM THE GARDEN NO BUYERS NO CAPITAL TO RUN THE BUSINESS,LOSS OF LIVESTOCK NO EMPLOYMENT OPPORTUNITIES IN THE AREA NO FARM NO FLOODS NO FOOD PRODUCED ON TIME FOR SALE NO JOB AND NOTHING TO SELL NO JOBS,NO SALES FROM AGRICULTURE NO LAND FOR AGRICULTURE NO MARKETS FOR OUR PRODUCE NO MONEY NO MONEY FOR US TO PURCHASE FOOD IN THE LOCAL MARKET NO MONEY FOR US TO PURCHASE GOODS FROM THE MARKET NO MONEY TO PAY PEOPLE TO WORK FOR HER,NEITHA FOR BUILDING NO MONEY TO RENT LAND FOR CULTIVATION NO ONE HAS A JOB TO EARN MONEY TO HELP THE HOUSEHOLD NO OR LESS JOB OPP TO EARN INCOME NO PRODUCTIVE ASSET,WEAK PHYSICALLY NO RAIN AND IT CAME LATE NO RAIN SO FISHING IS DIFFICULT NO RAINFALL NO RAINFALL, OVER SUNSHINE NO RAINRFALL,ACCIDENT NO RAINS ON THE LAND NO SALES NO TIME FOR ME TO GO AND LOOK FOR MONEY BECAUSE OF CHILDREN NO WAY OF GETTING MONEY THROUGH WORK NO WORK TO DO NOTHING TO SELL AS CROPS WERE NOT DOING WELL OFTEN SICKNESS OLD AGE OLD AGE ,DISEASES OLD AGE AFTER ILLNESS OLD AGE AND DISEASES OLD AGE AND GENERAL BODY WEAKNESS OLD AGE AND GETTING WEAK OLD AGE AND HENCE CAUSING DISEASES AND DISSABILITIES OLD AGE AND LACK OF FARM EQUIPMENT OLD AGE AND NATURE OLD AGE AND POOR HEALTH OLD AGE AND SICKNESS OLD AGE AS A RESULT OF DISEASE,NO MONEY OLD AGE CAUSING LESS ENERGY FOR FARMING OLD AGE IS AFFECTING THEIR DAILY ACTIVITIES OLD AGE SICKNESS OLD AGE THAT HAS NOW WEAKENED ME OLD AGE/ DISEASE OLD AGE/DISEASE OLD WOMAN,LIMITED HELP OLDAGE OLDM AGE OLG GAE, DISEASES ONLY FEW PEOPLE ARE ENGAGED IN FARMING ONLY ONE PERSON DIGGING FOR THE HOUSE OUR LAND WAS CONFISCATED OVER CULTIVATION ON THE SAME LAND OVER SUNSHINE PAIN IN THE CHEST AND TOO MUCH HEADACHE PASISTANCE SICKNESS PASSED ON (WIFE) PEOPLE BUY MY PRODUCT AT A CHEAPER PRICE THUS LITTLE MONEY IN MY HOME PEOPLE COME FROM DIFFERENT ANGLES TO BUY FOOD FROM THIS AREA PERSISTENCE SICKNESS PEST PEST AFFECT THE CROPS PEST AFFECTED THE CROP PEST AFFECTED THE CROPS PEST DESTROYED CROPS PEST DESTROYED OUR CROPS PEST HAV AFFECTED THE CROPS PEST HAVE AFFECTED PEST HAVE AFFECTED THE CROPS PEST IN THR GARDEN PEST OF DISEASE HAS SO MUCH AFFECTED IT PESTS PESTS AFFECED THE PLANTATION PESTS AFFECTED PESTS AFFECTED CROPS PESTS AFFECTED THE CROPS PESTS AND DISEASES PESTS AND DISEASES AFFECTING CROPS PESTS AND DISEASES AFFECTING THE YIELD PESTS AND DROUGHT PESTS DESTROYED OUR CROPS PESTS HAVE AFFECTED THE CROPS PESTS IN AGRICULTURE, BAD WEATHER PESTS STRUCK MY GARDEN AND DESTROYED MY CROP PESTS THAT ATTACKED OUR CROPS PESTS THAT EATS OUR CROPS PLANTED CROPS LATE POOR CLIMATE POOR CLIMATE CONDITION AND PEST POOR CLIMATE, LESS PRODUCE POOR CLIMATIC CONDITION POOR CLIMATIC CONDITIONS POOR HEALTH POOR HERVEST POOR RAINS POOR ROADS POOR WEATHER POOR WEATHER CONDITION POOR WEATHER SO NO FOOD IN ABUNDANCE POOR YIELDS POOR YIELDS FROM GARDENS POOR/BAD WEATHER POVERTY POVERTY AND BAD WEATHER CONDITION PRICE FLACTUATION IN THE MARKET PRODUCED MORE SOLD AT AVERY LOW COST HENCE UNABLE TO MAKE SAVING RAIN CAME BACK LATE RAIN COME BACK LATE RAIN COMEBACK LATE, TOO MUCH SUNSHINE RAIN HAS DESTROYED WHAT WE PLANTED RAIN WAS INADEQUATE RAIN WAS LATE RAINFALL RAINFALL COME LATE FOR US RAINFALL DELAY RAINFALL THAT HAS BEEN TOO MUCH RAINS DESTROYED THE CROPS RAINS WERE SCARCE RETIRED RITIRED BREAD WINNER , LESS SAKES SEPARATION FROM THE HUSBAND SEPARATION WITH HUSBAND SEVER SICKNESS OF A PRODUCTIVE HOUSE HOLD MEMBER SEVERE SICKNESS AMONG THE HOUSEHOLD MEMBERS SHE CANNOT PROVIDE FOR ALL HER DEPENDANT SHE DIED OF PRESSURE SHE FELL SICK AND ALL THE MONEY WAS USED FOR TREATMENT SHE GOT BURNT BUT AFTERWARDS SHE HAD AMEMOMIA SHE HAS BEEN DOWN FOR SOMETIME YET SHE IS THE MAIN PERSON SHE HAS BEEN SICK SHE HAS BEEN SICK FOR SOME TIME SHE HAS BEEN SICK FOR THE LAST 3 YEARS SHE HAS BEEN SICKLING SHE HAS BODY PAIN ALL OVER SHE IS SICK SHE IS WEAK DUE TO OLD GAE , SHE NO LONGER WORKS SHE NO LONGER WORKS DUE TO OLD AGE SHE NO LONGER WORKS LIKE BEFORE DUE TO OLD AGE SHE NOLONGER WORKS DUE TO OLD AGE SHORTAGE OF FOOD DUE TO THE SUNSHINE WHICH DESTROYED MOST CROPS SHORTAGE OF RESOURCES FOR CULTIVATING SICK SICK CHILD SICKNESS SICKNESS /OLD AGE SICKNESS AND DISEASE SICKNESS AND ELDERLY SICKNESS AND ILLNESS OF THE CHEST SICKNESS AND LESS MAN LABOUR WORKING OR HARVING JOBS SICKNESS AND NO ONE TO HELP HER CULTIVATE SICKNESS AND OLD AGE SICKNESS COMES NATURALLY ULCERS SICKNESS DUE TO DISLOCATION OF THE HAND SICKNESS DUE TO OLD AGE SICKNESS FOR A LONG TIME SICKNESS HAS MADE HAS TO HAVE NO TIME TO CULTIVATE SICKNESS ILLNESS OF THE HOUSEHOLD HEAD SICKNESS IN THE HOUSE SICKNESS INTHE FAMILY SICKNESS MADE THE HOUSE HOLD MEMBER FAIL TO CULTIVATE SICKNESS MADE THE MEMBERS FAIL TO CULTIVATE SICKNESS OF A HOUSEHOLD HEAD SICKNESS OF ANIMALS AND RESISTANCE TO MEDICINE SICKNESS OF HEAD OF HOUSE AND HIS SON SICKNESS OF HEAD OF THE HH SICKNESS OF HOUSEHOLD HEAD CONSTANTLY SICKNESS OF HOUSEHOLD MEMBERS SICKNESS OF THE HHOLD HEAD SICKNESS OF THE HOUSEHOLD HEAD SICKNESS SO WE DINT DIG SICKNESS THAT HAS PERSISTED SICKNESS THAT STOPED ME FROM WORKING SICKNESS WHICH CAUSED THE DEATH OF THE MOTHER SICKNESS WHICH HAS PREVENTED ME FROM CULTIVATING SICKNESS WHICH RETARDS MY NORMAL AGRICULTURAL ACTIVITIES SICKNESS,DEATH OF ANIMALS,OLD AGE SICKNESS/DISEASES E.G LANG CANCER SICKNESS/OLD AGE SICKNESSAND OLD AGE,NO ONE TO HELP CULTIVATE SICNESS OF HOUSE HOLD HEAD AND SPOUSE SOME INSECTS AFFECTED THE CROPS SOME MEMBERS ARE NOT NOW PRODUCTIVE SOME WORMS DESTROYED THE BEANS TOTALLY THIS YEAR SONS WERE IMPRISONED SUNNY CONDITIONS LED TO UNTIMELY PLANTING SUNSHINE LAST SEASON WAS TOO MUCH SUNSHINE WAS A PROBLEM IN THIS AREA SUNSHINE WAS MUCH THAT MADE ITEXPENSIVE SUNSHINE WAS TOO MUCH SUNSHINE WAS TOO MUCH LAST SEASON THIS YEAR SWOLLEN LEG WHICH DOESN'T ENABLE ME TO DIG VERY MUCH THAT WAS THEIR SEASON THE BAD CLIMATIC CONDITIONS THE BAD WEATHER CHANGE THE BODY IS WEAK AND OLD AGE SO SHE CSNT DO ANYTHING BY HERSELF. THE BREAD WINNER IS SICK OF KIDNEY FAILURE THE CHANGES IN CONDITIONS LIKE NETS THE CLIMATE CHANGED DRASTICALLY THE CLIMATE HAS NOT BEEN FAVOURABLE FOR FOOD PRODUCTION THE CLIMATE WAS NOT FAVOURABLE THE CLIMATIC CONDITION DID NOT ENABLE THE CROPS YIELD HIGHLY THE CLIMATIC CONDITIONS WERE UNFAVOURABLE THE CORESPONDENTS BULL WAS STOLEN AND SPENT ALOT TO GET BACK THE COST OF LIVING IS HIGH THE CROPS ARE IMMATURE THE CROPS WERE ATTACKED BY PESTS AND BAD CLIMATE THE DEATH OF TH EHEAD OF THE FAMILY (HUSBAND) THE DEATH OF THE FATHER AND NOW IS THE MOTHER STRUGGLING A LONE THE DROUGHT HAS AFFECTED OUR AGRICULTURE PRODUCE THE FERMINE LAST SEASON THE FLODS WASHED AWAY THE CROPS THE FLOODS DESTROYED CROPS THE FLOODS WASHED AWAY THE CROPS THE HEAVY RAINS CREATED RIVERS IN THE GARDENS THE HOUSE GOT BURNT AND EVERY THING GOT BURNT IN IT THE HUSBAND HAS BEEN SICK FOR A LONG TIME,SO SHE WORKS A LONE THE HUSBAND IS WEAK DUE TO SICKNESS THE LAND IS NOT CULTIVATED THE LAND IS NOW UNFERTILE THE MAN HAS MARRIED ANOTHER WIFE WITH MANY KIDS THE MONEY MY HUSBAND HAD LEFT GOT OVER THE MOUTH IS SWOLLEN.OTHE BODY PAINS MY WAIST.I DONT SEE WEL THE OLD AGE AND ILLNESS HENCE BEING WEAK THE OUT PUT OF AGRICULTURAL PRODUCT IS LOW HENCE REDUCT IN INCOME THE PEST AFFECTED TH E CROPS THE PEST AFFECTED THE CROPS THE RAIN CAME ABIT LATE THIS YEAR THE RAIN DESTROYED THE CROPS THE RAIN HAS AFFECTED MOST OF OUR CROPS THE RAIN RETURNED LATE WHICH DID NOT FAVOUR CROP GROWN THE RAIN SWEPT AWAY CROPS IN THE GARDEN THE RAINS ARE TOO MUCH THE RAINS CAME BACK LATE THE RAINS CAME IN ABIT LATE THE RAINS CAME LATE WHICH DID NOT FAVOUR THE CROPS THE RAINS HAVE DESTROYED EVERYTHING IN THE GARDEN THE RAINS HAVE NOT BEEN CONSISTENT THE RAINS RETURNED OUT LATE THIS YEAR THE RAINS WERE ENOUGH THE RAINS WERE SO HEAVY THE RAINS WERE VERY HEAVY WHICH AFFECTED THE CROPS THE ROADS ARE NOT GOOD TO TRANSPORT GOODS FOR SALE THE SEASON IS VERY BAD BECAUSE THERE IS LOW FOOD PRODUCTION FOR SALES THE SICKNESS OF THE HEAD OF THE HOUSEHOLD THE SICKNESS OF THE SPOUSE TOOK MUCH MONEY THE SUN DESTROYED THE BEANS IN JUNE THIS YEAR THE SUN WAS VERY HOT THE SUNSHINE WAS NOT FEVOURABLE THIS YEAR THE SUNSHINE WAS TOO MUCH THROUGH OUT THE YEAR THE UNFAVOURABLE CLIMATIC CONDITION THE WEATHER IS NOT FAVOURABLE FOR HER THE WEATHER IS NOT FAVOURABLE FOR THE ANIMAL THE WEATHER WAS NOT GOOD THEINJURIES HAS MADE MY YEARS WORSE THEIR PARENTS DIED THERE ARE FEW TRADERS HENCE LOWER PRICES THERE ARE MANY BUYERS AND SELLERS OF THE SAME PRODUCT THERE HAS BEEN ALOT OF RAIN THIS YEAR THAT CAUSED ALOT OF DAMAGE THERE HAS BEEN ALOT OF RAINFALL THERE HAS BEEN ALOT OF SUNSHINE THIS YEAR THERE IS LITTLE FOOD PRODUCTION THERE IS NO ENOUGH LAND TO CULTIVATE THIS YEAR THERE IS NO WORK ESPECIALLY LABOR WE OFFER IN THE GARDENS THERE IS POOR HARVEST THERE IS TOO MUCH SICKNESS THERE WAS A PROLONGED DRY SEASON THERE WAS LITTLE RAIN THIS YEAR THERE WAS NO RAIN EARLY THIS YEAR THERE WAS TOO MUCH RAIN WHICH DESTROYED THE CROPS THERE WERE A LOT OF RAINFALL THAT MADE CROPS TO ROT THESE IS DUE TO CHANGES IN WEATHER CONDITION THEY HAVE FAILED TO FIND OUT WHAT AM SUFFERING FROM THINK IT'S BECAUSE OF THE HIGH RAINFALL THIS HAS BEEN CAUSED BY FLOOD THIS IS BECAUSE OF BAD WEATHER THERE HAS BEEN A LOT OF SUNSHINE THIS IS DUE TO MUCH SICKNESS THIS IS DUE TO OLD AGE SICKNESS THIS YEAR WE OVER WORKED TO MUCH SUNSHINE WHICH DRIED UP THE BEANS TOO MUCH SUNSHINE TOO MUCH DISEASE TOO MUCH DRY SEASON TOO MUCH FLOODS AND RAINS TOO MUCH FLOODS SO MOST OF OUR FOODWAS DESTROYED TOO MUCH RAIN TOO MUCH RAIN DESTROYING SUNFLOWER TOO MUCH RAIN SPOILING CROPS TOO MUCH RAIN WHICH HAS SPREAD MALARIA TOO MUCH RAINFALL TOO MUCH RAINFALL AND IT DESTOYED BEANS TOO MUCH RAINFALL CAME AND SWEPT AWAY OUR GARDEN TOO MUCH RAINFALL CAUSE FLOODS TOO MUCH RAINFALL HAS AFFECTED MY CROPS ALOT TOO MUCH RAINFALL MAKING BEANS NOT TO GROW WELL TOO MUCH RAINFALL SPOILT THE CROPS TOO MUCH RAINFALL THAT HAVE CAUSED THE GARDENS TO FLOOD TOO MUCH RAINFALL THIS YEAR SPOILT THE CROPS TOO MUCH RAINFALL THUS DESTROYING THE BEANS TOO MUCH RAINFALL UNFAVORABLE CLIMATIC CONDITION TOO MUCH RAINFALL WHICH DESTOYED THE BEANS TOO MUCH RAINFALL/FLLODS WHICH DSTROYED CROPS TOO MUCH RAINS TOO MUCH RAINS HENCE DESTROYING THE BEANS TOO MUCH RAINS LATELY TOO MUCH RAINS THAT FLOADED THE SWAMP WHERE RICE COULD GROW TOO MUCH SICKNESS AND BODY WEAKNESS TOO MUCH SUN AS WEL TOO MUCH SUN SHINE TOO MUCH SUN THIS MONTHS TOO MUCH SUN WHICH DESTROYED TOO MUCH SUN. RAIN CAME LATE BUT STOPPED. TOO MUCH SUNSHINE TOO MUCH SUNSHINE AND BAD RAINNY SEASON TOO MUCH SUNSHINE AND ILLNESS OF HOUSEHOLD HEAD TOO MUCH SUNSHINE AND THE CROPS ARE DRYING.THERE IS NO RAIN TOO MUCH SUNSHINE BURNT ALL THE CROPS TOO MUCH SUNSHINE DESTROYING THE GROUNDNUTS PEAS TOO MUCH SUNSHINE HENCE DRYING UP BEANS TOO MUCH SUNSHINE LAST YEAR TOO MUCH SUNSHINE THAT DAMAGED A LOT OF CROPS TOO MUCH SUNSHINE THAT DRIED ALL THE CASSAVA THAT WE PLANTED TOO MUCH SUNSHINE THAT HAS DAMAGED ALL THE PRODUCE TOO MUCH SUNSHINE UPTO APRIL THEN IN JULY TOO MUCH SUNSHINE WHICH DESTROYS CROPS TOO MUCH SUNSHINE WHICH HAS DSTROYED THE GROUNDNUTS, SIMSIM TOO MUCH SUNSHINE. CLIMATE NOT GOOD. TOO OLD TOO OLD AND SICK TOO OLD AND SICKNESS PROBLEMS TOO OLD AND THERE IS NO MONEY FOR FULL TREATMENT TOO OLD AND YET I DO ALOT OF WORK TOO OLD TO DIG,DEPEND ON MY CHILDREN TOWN COUNCIL SEIZED THE OPERATION OF HER BUSINESS TRADERS COME FROM DIFFERENT PLACES TO BUY FOOD TRADERS COME FROM DIFFERENT PLACES TO BUY FOOD HERE TREATING SICKNESSES UFAVOURABLE WEATHER ULCERS UNFAVORABLE CLIMATIC CONDITIONS UNFAVOURABLE CLIMATE UNFAVOURABLE CLIMATE BUT I HAD CULTIVATED MY LAND UNFAVOURABLE CLIMATE CONDITION IN THE AREA UNFAVOURABLE WEATHER CONDITION UNFAVOURABLE WEATHER CONDITIONS UNFERTILE LAND BECAUSE OF THE WEATHER UNFERTILE LAND,UNAVAILABILITY OF LAND TO FARM IN VERY OLD AND SICK DISABLED VERY POOR WAR WAS ILL COULD NOT CONCENTRATE ON AGRICULTURE WAS SICKLY WAT WE HAVE PLANTED IN THIS YEAR ARE NOT READY FOR CONSUMPTION WE ARE NOW GROWING OLD WE ARE NOW WEAK WE CONSUME BUT DID NOT MANAGE TO REPLANT WE HAD ALOT OF COMPETITION WE PLANTED LITTLE CASSAVA BECAUSE WE DID NOT HAVE ENOUGH MONEY WE WERE HIT BY HEAVY RAINS THAT DESTROYED OUR CROPS WEAK PHYSICALLY WEAKNESS DUE TO OLD AGE WEAKNESS DUE TO SICKNESS WEAKNESS IN BODY, DISEASE THAT LEAD TO HIGH EXPENDITURE WEATHER CHANGES WEATHER WAS NOT FAVOURABLE WENT TO LOOK FOR GREENER PASTURES WHAT WE HAVE IN THE GARDEN ARE STILL YOUNG WIFE IS SICK AND OLD WIFE WAS SICK FOR ONE MONTH AND EVENTUALLY DIED hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? 1521 2454 1 loss of productive household member (death) 2 loss of productive household member (leaving hh) 3 illness/injury of household member 4 loss of hhs own animals 5 loss of hhs own land or water resources 6 loss of access to land, water or other natural resources for production 7 loss of other productive assets (tools, machinery etc) 8 less income or loss of job 9 less income from animal husbandry, fishing or farming – lower volume of production 10 less income from animal husbandry, fishing or farming – higher costs or lower sales prices 11 less income from animal husbandry, - lower volume of sales 12 less income from other houseold business 13 increased number of dependents 14 large expenditure due to ill health or death of hh member (inc funeral) 15 large expenditure on social obligations 16 increased cost of food 17 increased cost of fuels, transport or other necessities 18 debt repayments 19 loss of aid (ex. ngo programme finishing) 97 other (specify) 98 Sysmiss hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? 2557 . A LOT OF RAIN THAT DETROYED OUR CROPS AGE AM ALONE IN THE HOUSE AM GETTING OLD ANIMALS DESTROYED CROPS ANIMALS DISEASES ASSETS REDUCING CONTINUOUSLY BAD ROAD BAD ROADS BAD ROADS TO THE MARKET BAD WEATHER THAT AFFECTED THE CROPS BANK TOOK OVER THE HOUSEHLD PROPERTY BIG FAMILY BODY WEAKNESS AND LESS LABOUR FOR CULTIVATION CANT AFFORD SEEDS CHANGE OF WEATHER AND OLD AGE COMPETITION INCREASED COSTLY RENTING LAND FOR FARMING CROPS ARE DYING IN GARDENS CULTIVATED BEANS TOGETHER WITH THE CASSAVA CULTIVATED LATE DEATH OF HIS SON WHO HAD MANY CHILDREN DEATH OF HUSBAND DEATH OF MY DAUGHTER DEATH OF PARENTS KIDS DEATH OF THE HUSBAND DECREASE IN MONEY VALUE. CANT MAKE ANY SAVINGS. DISEASE,WEAKNESS IN DIGGING DISEASES DIVORCE Y THE PARENTS DOMESYTIC ANIMALS DESTROYED THE CROPS DON'T KNOW DUE TO LACK OF ENOUGH LABOUR OXEN EDUCATION FARMING WITHOUT USING MACHINES IS TIRESOME FEES FERTILE SOIL FLOODS AFFECTED THE CROPS FLOODS AND LOSS OF LAND FLOODS WASHED AWAY THE CROPS GETTING OLD GETTING WEAK DAY BY DAY GOT THE BULLS FOR CULTIVATION BUT WHAT THEY CULTIVATED WAS AFFECTE GOVERNMENT HAS MADE THIS YEAR WORSE HEAD OF HHOLD HAD AN ACCIDENT HAMPERED THE NORMAL FUNCTIONING HEAD OF THE HOUSEHOLD DOES NOT WORK SINCE HE IS VERY OLD HIGH SCHOOL FEES BURDEN HIGH TAXES HOUSEHOLD HEAD IS VERY OLD AND CANT SUSTAIN THE BIG HOUSEHOLD HUNGER I AM SICK AND CANNOT CULTIVATE BECAUSE STOMACH IS SWOLLEN I DID NOT GET THE MONEY I WANTED I HAVE A LOT OF DEPENDANTS NOW. I HAVE M,ANY ORPHANS GRAND CHILDREN IMPRISONMENT OF MAIN INCOME EARNER(HUSBAND) INCREASE IN NUMBER OF SCHOOL GOING CHILDREN INCREASE IN THE NUMBER OF CHILDREN IN HIGH SCHOOLS INCRESE IN SCHOOL FEES FOR THE CHILDREN INFLATION INFLATION AND DEPENDENTS IT WAS A BAD SEASON WHERE PEST WHERE SO MANY LACK OF CAPITAL TO RE-INVENT IN THE LAND LACK OF ENOUGH LABOR/OXEN LACK OF FARMING MANPOWER LACK OF GARDENING TOOLS LACK OF LAND LACK OF LAND FOR THE FAMILY LACK OF LAND TO CULTIVATE LACK OF MAN POWER TO PRODUCE AGRICULTURAL PRODUCTS LACK OF MARKET FOR PRODUCE LACK OF PETTY JOBS LACK OF WHAT TO BE CULTIVATED LACKED WHAT TO DO AS A RESULT OF BEING ROBBED LAND FRAGMENTATION(DIDN'T GET LAND DURING DIVISION) LAND SHORTGAGE LAND WAS GIVEN FREELY BY ELDER BROTHERS LAST YEAR THEY WERE GIVEN FREE LAND UNLIKE THIS YEAR LESS FERTILE SOILS LESS LABOUR IN THE AGRICULTUR FIELD LOSS OF A JOB BY THE HOUSEHOLD HEAD LOW DEMAND LOW PRODUCTION, NO MACHINERY TO PRODUCE MOST OF THEM ARE REPEATING CLASSES MY HUSBAND LEFT ME WITH MY CHILDREN AND NATURE NATURE CAUSE NIFERTILE LAND LOW CAPITAL NO ABILITY TO GET RESOURCES FOR PRACTISING AGRICULTURE NO CAPITAL TO START ANY BUSINESS NO EDUCATION NO FARM LAND NO JOB AT ALL(CATTLE KEEPER) NO JOBS AT THE MOMENT NO LAND FOR AGRICULTURE NO LAND FOR CULTIVATION NO LAND FOR US TO FARM NO LAND TO CULTIVATE NO MONEY FOR US TO RENT LAND NO MONEY, NO RAINFALL NO ONE HAS A GOOD JOB TO EARN THEM MONEY FOR A LIVING IN THE HOUSE NO ONE TO HELP ME DIG MY GARDEN NO OXPLOUGH (POVERTY) NO PROPER RAINFALL NO RAINFALL NO SALES,NO BUSINESS OLD AGE OVER PRODUCTION OVER SUNSHINE PLANTED FEW CROPS THIS YEAR PLANTED LATE LEADING TO LOW PRODUCE POOR FARMING METHODS POOR SOILS DUE TO OVER CULTIVATION POOR TRANSPORT POOR YIELDS POOR YIELDS,DISEASES AND LACK OF MONEY POVERTY PRICE FRACTUATION PRICE OF COMMODITIES IS POOR RED ANTS ENTERED THE HOUSE ON TRYING TO BURN THEM I BURNT MY HOUSE SHE DID'NN PLAN WELL TO DO TIMELY PLANTING OF CROPS SHE WORKS ALONE SHORT OF LAND , LAND GRABING T LAST YEAR THE CHILD BURNT THE HSE THE FLOODS WASHED AWAY THE CROPPS THE FLOODS WASHED AWAY THE CROPS THE GARDEN IS NOW NOT PRODUCTIVE ENOUGH THE HOUSEHOLD MEMBER IS TOO OLD TO CULTIVATE THE SOIL IS EXHAUSTED THE STOCK GOT FINISHED THE SUNFLOWER WAS OF LOWER PRICES THE WEATHER AND INADEQUATE OF MONEY THEFT THEFT OF PROPERTY AND LIVESTOCK THEFTY THERE IS NO ENOUGH SECURITY IN THIS VILLAGE THERE WAS ALOT OF DEATH AND I HAD TO ATTEND TO THEM THERE WAS NOTHING TO CULTIVATE TOO MANY CHILDREN TO LOOK AFTER TOO OLD AND WEAK TO WORK AND EARN A LIVING UNFAVARABLE MARKETING UNFERTILE SOIL USED FOR MARRIAGE WATER FROM THE LAKE HAS FLOODED THE GARDEN. WATER FROM THE SWAMP DESTROYED THE CROPS WE HAVE SHORTAGE OF WATER FOR DRINKING WITCHCRAFT hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? 3894 . A HAVE BOUGHT A LAND AND STARED BUILDING A HOUSE A LOT OF FARM PRODUCE ARE REALIZED A YEAR AGO THERE WAS NOT ENOUGH TO EAT A YEAR AGO THERE WAS NOTHING TO EAT DUE TO LOW PRODUCTION A YEAR AGO WE HAD ILLNESS WE COULDNT FARM ABLE TO GET FOOD UNLIKE BEFORE ABLE TO GET GOOD HARVEST FROM AGRICULTURE ABLE TO HAVE A GOOD HARVEST ABLE TO MEET FAMILY DEMANDS ABLE TO MEET FAMILY NEEDS ABLE TO OBTAIN FOOD DUE TO AGRICULTURE THIS YEAR THAT IS O.K ADEQUATE FOOD AGRICULTURAL PRODUCTION IS HIGH THIS YEAR COMPARED TO LAST YEAR AGRICULTURAL PRODUCTION MUCH HIGHER, NO MAJOR SICKNESS AGRICULTURAL WERE SOLD AND THE MONEY BE USED TO MEET HH NEEDS AGRICULTURE AGRICULTURE HAS BOOSTED UP SO ABLE TO GET FOOD AGRICULTURE PRODUCTION IS HIGH AID FROM GOVERNMENT AM ABLE TO GET FOOD TO EAT AS THE HARVEST WAS GOOD BECAUSE OF GOOD WEATH AM BETTER BECAUSE MY HEALTH IS IMPROVED AND I CAN NOW DO SOME WORK AN INCREASE IN INCOME AT THIS YEAR I HAVE FOOD TO EAT COMPARED TO LAST YEAR ATLEAST THIS YEAR WE HAVE FOOD IN THE GARDEN ATLEAST WE HAVE ABETTER HARVEST THIS YEAR AVAILABILITY OF FOOD BECAUSE I'VE GOT ENOUGH HARVEST THAT HAS IMPROVED MY LIFE BEEN ABLE TO WORK ON HOUSEHOLD FARM BETTER ACCESS TO LAND OR OTHER NATURAL RESOURCES FOR PRODUCTION BETTER ACCESS TO LAND WATER RESOURCES BETTER ACCESS TO WATER AND OTHER NATRAL RESOURCES BETTER AGRICULTURAL HARVEST BETTER AGRICULTURAL PRODUCTION BETTER AGRICULTURAL PRODUCTS BETTER FOOD PRODUCTION BETTER HARVEST THIS YEAR BETTER HERVEST COMPARED TO LAST YEAR BETTER PAYING JOB BETTER PRODUCTION IN THE FIELD OF AGRICULTURE BETTER PRODUCTION OF MAIZE BETTER PRODUCTION YIELDS BETTER VOLUME OF AGRICULTURAL PRODUCTION BETTER YIELD BETTER YIELDS BOUGHT 3 GOATS AND 3 CHICKEN BOUGHT A COW BOUGHT LAND BOUGHT LIVESTOCK ,INCREASE IN AGRICULTURE BOUGHT LIVESTOCK AND FOOD PRODUCTS BOUGHT LIVESTOCK, INCREASE AGRICULTURAL INPUTS BUMPER HARVEST CAN AFORD BASIC NEEDS ATHOME CAN MAKE SAVINGS AND HAVE FOOD SECURITY CHILDREN HAVE BETTER HEALTH THIS YEAR COMPARED TO LAST YEAR,GOOD HARVEST CHILDREN HAVE FINISHED SCHOOL AND ARE HELPING ME CHILDREN SUPPORT HER WITH MONEY,AGRICULTURE PAYING SCHOOL FEES CROPS ARE DOING WELL THIS YEAR CROPS NOT HARVESTED BECAUSE IT WAS NOT READY THIS YEAR IT HAS BLOSSOMED CROPS WERE DESTROYED BY ANIMALS DAD GOT A BETTER PAYING JOB DOING AGRICULTURE AND FARMING DUE TO IMPROVED INCOMES FROM BUSINESS AND INVESTMENTS MADE ENOUGH FOOD ENOUGH FOOD IN THE HOUSE ENOUGH RAINS AND NO FOODS AS COMPARED TO LAST YEAR ESTABLISHED A BUSINESS SO AM ABLE TO EARN MONEY FAIR HARVEST FAIR HARVEST THIS YEAR AND RELIEF FROM WFP FARM PRODUCTS ARE BETTER THIS YEAR FARMING FARMING ACTIVITIES HAVE IMPROVED FAVORABLE CLIMATIC CONDITIONS. NO MAJOR SICKNESS. FAVOURABLE WEATHER HENCE GOOD HARVEST FERTILE SOIL FOR CROPS FOOD INCREASE IN OTHER HOUSEHOLDS FOOD IS AVAILABLE FOOD IS THERE IN PLENTY FOOD PRODUCTION IS THERE BUT LAST YEAR SHE WAS SICK THROUGHOUT GOATS AND COWS HAVE INCREASED IN NUMBER GOOD AGRICULTURAL PRODUCTION GOOD CLIMATE HAS MADE THE CROPS GROW HELP FROM GOVERNMENT GOOD FOOD YIELD THIS YEAR GOOD HARVEST GOOD HARVEST AMONG COMMUNITIES WHICH HAS RESULTED TO LOW COST OF FOOD GOOD HARVEST AND RELIEF PROVIDED BY WFP GOOD HARVEST FROM THE AGRICULTURAL PRODUCTS GOOD HARVEST HIGH CROP PRODUCTION GOOD HARVEST REPUTING FROM GOOD WEATHER GOOD HARVEST THIS YEAR GOOD HARVESTS GOOD HATVEST GOOD HERVEST GOOD RAIN HAVE BROUGHT GOOD HARVEST GOOD RAINS BROUGHT ABOUT GOOD HARVEST GOOD RAINS HENCE GOOD HERVEST GOOD SECURITY WHICH MADE THEM CULTIVATE GOOD WEATHER AND RAINS THAT HAVE MADE GOOD HARVEST GOOD WEATHER FAVOURABLE FOR FARMING GOOD YIELD FROM FARMING GOPOD WEATHER THIS YEAR HAS IMPROVED CROP YIELDING GOT ENOGH MONEY TO TAKE CARE OF MY FAMILY FROM MY BUSINESS HAD ALOT OF CROP YIELDS HAD BETTER HARVEST THIS YEAR HAS BOUGHT SOME CATTLE WHICH HAVE IMPROVED LIVING STDS HAVE BEEN WEAK THIS YEAR HAVE HARVESTED A LOT AND THIS YEAR THUS REDUCED HUNGER HAVE RECEIVED INCREASED INCOME FROM PRODUCES HAVING ENOUGH FOOD HE HAS CASSAVA PLANTATION WHICH HE USES AND SALE TO GET SOME MONEY HE OVERWORKED LAST YEAR AND IS NOW ONLY HARVESTING AND ENJOYING HEAVY RAINFALL GOOD FOR HER CROPS HGH PRODUCE E.G BEANS HIGH AGRICULTURAL OUTPUT HIGH AGRICULTURAL PRODUCE HIGH AGRICULTURAL PRODUCE EG BEANS,MILLET HIGH AGRICULTURAL PRODUCE E.G BEANS,MAIZE,CASSAVA,PEAS HIGH AGRICULTURAL PRODUCE EG BEANS,MAIZE,CASSAVA,POTATOES ETC HIGH AGRICULTURAL PRODUCE EG MAIZE HIGH AGRICULTURAL PRODUCT HIGH AGRICULTURAL PRODUCTION HIGH AGRICULTURAL PRODUCTS HIGH CROP PRODUCTION AMONG THE COMMUNITY MEMBERS HIGH FOOD PRODUCTION HIGH FOOD PRODUCTION OUT OF HIS CLTIVATED LAND HIGH LEVEL OF PRODUCTION HIGH PRODUCE HENCE GIVING ME MONEY/INCOME HIGH PRODUCE OF GROUNDNUTS AND BEANS HIGH PRODUCTION FROM THE FARM BECAUSE OF GOOD WEATHER HIGH PRODUCTION OF AGRICULTURAL FIELDS HIGH PRODUCTION OF AGRICULTURAL PRODUCE EG CASSAVA AND BEANS HIGH PRODUCTION OF GROUNDNUTS HIGH PRODUCTION OF MAIZE HIGH VOLUME OF AGRICULTURAL PRODUCE HIGH VOLUME OF PRODUCTION HIGH YIELDS HIGH YIELDS AND ACQUIRED LIVESTOCK HIGH YIELDS DUE TO RAIN HIGHER AGRICULTURAL OUT PUT HIGHER AGRICULTURAL OUTPUT HIGHER AGRICULTURAL PRODUCE HIGHER AGRICULTURAL PRODUCE ESPECIALLY BEANS HIGHER AGRICULTURAL PRODUCTION HIGHER AGRICULTURAL PRODUCTION EG BEANS HIGHER AGRICULTURAL PRODUCTION EG GROUNGNUTS HIGHER AGRICULTURAL PRODUCTION EG MAIZE HIGHER CROP PRODUCTION HENCE MORE INCOME. HIGHER CROP YIELDS FROM HOUSEHOLDS HIGHER PRODUCTION HIGHER PRODUCTION OF AGRICULTURAL PRODUCE HIGHER PRODUCTION OF AGRICULTURAL PRODUCE E.G MAIZE HIGHER PRODUCTION OR INCREASE IN AGRICULTURAL PRICE HIGHER PRODUCTION THIS YEAR HIGHER YIELDS HIS CROPS ARE DOING WELL NOT LIKE LAST SEASON WHEN THE SUN WAS TOO MUCH HOUSE HOLD MEMBER GOT A JOB WITH BETTER PAY HUNGER WAS THE PROBLEM LAST YEAR I AM ABLE TO GO TO WORK ON PEOPLE'S FARM DAILY I AM BUILDING A NEW HOUSE AND I HAVE BOUGHT LAND I AM IN A POSITION TO MEET THE HH NEEDS THROUGH GOVERNMENT I BUILT A HOUSE MYSELF I CAN MANAGE TOM FIND FOOD EASILY THIS TIME I DID A GOOD HARVEST I DID ALOT OF PLANTING THIS YEAR I DO FARMING WHICH GIVE ME YIELDS I DON'T PAY RENT HENCE REDUCED ACCOMODATION EXPENSES I DONT BUY FOOD THIS YEAR FROM THE MARKET I GOT MORE HARVEST I GOT OVER THE DEATH OF MY HUSBAND WHO DIED LAST YEAR I HAD A GOOD CASSAVA PRODUCE THAT YEAR I HARVESTED ENOUGH FOOD I HAVE ALOT OF PRODUCTION FROM AGRICULTURE I HAVE BEEN ABLE TO CONSTRUCT A NEW HOUSE THIS YEAR I HAVE BOUGHT MORE LAND I HAVE ENOUGH BEANS AND CASSAVA AND MAIZE I HAVE IMPROVED ABIT ATLEAST I CAN DIG IN MY FARM. HAVE ALSO HARVESTED I HAVE JUST BUILT THAT NEW HOME I HAVE LOT OF FOOD LIKE BEANS ,GROUNDNUTS I HAVE MANAGED TO RARE CHICKEN AND PIGS I HAVE PLANTED CROPS UNLIKE LAST YR I HAVE SOME MONEY FOR FEES AND OTHER FOODS I HOD GOOD YIELDS THIS YEAR I MANAGED TO RENT A FARM TO CULTIVATE AND EARN A LIVING I MANAGED TO BUY NEW IRON SHEETS AND COMPLETED MY HOUSE I PLANTED SOME SIMSIM BUT LAST YEAR I DIDNT CULTIVATE ANYTHING I SOLD MY COW AND BOUGHT LAND I WAS ABLE TO CULTIVATE THIS YEAR AS COMPARED TO LAST YEAR DUE TO ILLNES I WAS ABLE TO HARVEST ATLEAST TWO BASINS OF BEANS COMPARED TO LAST YEAR I WAS ABLE TO HARVEST SOME GOOD CROPS THIS YEAR I WAS SOO SICK LAST YEAR IMPROVED HARVEST IMPROVED HERVEST IMPROVED INCOME AND INCREASE IN HOUSEHOLD ASSETS AND INCRESED PRODUCTION IMPROVED ON WORKING IMPROVEMENT IN CULTIVATION INCREASE FOOD PRODUCTION INCREASE IN AGRICULTURAL PRODUCE INCREASE IN AGRICULTURAL PRODUCT INCREASE IN AGRICULTURAL PRODUCTION INCREASE IN CROP PRODUCTION INCREASE IN FARM PRODUCTION INCREASE IN FOOD PRODUCTION INCREASE IN INCOME INCREASE IN INCOME AS HE IS ABLE TO PAY HOUSEHOLD NEEDS INCREASE IN NUMBER OF QUALITY LABOUR INCREASE IN PRODUCTION INCREASE IN PRODUCTION AGRICULTURE INCREASE IN PRODUCTION IN FARMING INCREASE IN PRODUCTION,SHE WAS SICK,GOT HELP FROM NGO INCREASE IN YIELDS AND ANIMALS INCREASE INCOME FROM AGRICULTURAL PRODUCTION INCREASE INCOME FROM ANIMAL HUSBANDRY AND FISHING INCREASE INCOME FROM HOUSEHOLD BUSINESS INCREASE MAIZE AND PUMKIN PRODUCTION INCREASE NUMBER OF ANIMALS BOUGHT INCREASE OF ANIMAL IN THE HHOLD INCREASE OF PRODUCE BECAUSE OF NAADS INCREASE PRODUCTION INCREASE PROFITS OF HUSBANDS BUSINESS INCREASED AGRICULTURE AND CHILDREN EDUCATION INCREASED FARM PRODUCE INCREASED FOOD PRODUCTION INCREASED HARVEST INCREASED IN ANIMALS OWNED INCREASED IN NUMBER OF ANIMALS AND ALSO AGRCULTURAL PRODUCTS INCREASED INCOME DUE TO PEURCHASE OF LIVESTOCK INCREASED INCOME FROM AGRICULTURAL PRODUCE INCREASED INCOME FROM ANIMAL HUSBADRY,FISH FARMING INCREASED INCOME FROM FARMING INCREASED INCOME FROM HOUSE HOLD BUSINESS INCREASED INCOME FROM THE GOAT SOLD INCREASED LABOUR INCREASED LABOUR THE GIRLS ARE AT HOME INCREASED ON MY NICOME INCREASED SALES IN BUSINESS INCRESED FOOD PRODUCTIONFROM HOUSEHOLD IT IS BETTER BECAUSE SHE IS A MEMBER OF NAADS IT RAINS AND THIS HAS MADE THE CROPS TO YIELD VERY WELL ITS A RAINY SEASON AND THERES ALOT OF VEGETABLES ITS TIME FOR HERVEST AND LITTLE FOODD TO FEED ON LAST YEAR FLOODS DESTROYED CROPS BUT THIS YEAR I HARVESTED ENOUGH LAST YEAR I GOT ONLY 1 BASIN OF BEANS THIS YEAR I GOT 1 SACK LAST YEAR THERE WAS NO FOOD AND COULD GO HUNGRY THE WHOLE DAY LAST YEAR THERE WAS NO FOOO LAST YEAR THERE WERE PEOPLE WHO OFFERED HELP LAST YEAR WE LOST SO MANY OF OUR RELATIVES LESS HOUSEHOLD EXPENDITURE SO REDUCED DEPENDENCY BURDEN LITTLE SORGHUM HARVEST THIS YEAR LOOKED FOR OTHER SOURCES OF INCOME TO GET MONEY LOT OF RETURNS FROM AGRICULTURAL OUTPUT MANAGED TO TAKE MY KIDS TO SCHOOL MORE ANIMALS, PROPER HARVEST MORE HARVEST AND GREEN VEGETABLES MORE INCOME FROM FARMING ENABLED HIM BUY A COW MORE INCOME GOT IN THE HOUSEHLD MORE MONEY INLFOW FROM HOUSEHOLD BUSINESS MORE PRODUCE FROM FARM MORE WAGE EMPLOYMENT IN THE AREA DUE TO BUMPER HARVEST MOST OF MY TIME IS SPENT DIGGING SO HAVE ENOUGH FOOD MUCH MORE YIELD FROM THE FARM PRODUCE MUCH PRODUCTION HENCE ALOT OF SALE MY BROTHER HAS GIVEN ME IRON SHEETS AND I HAVE STARTED BUILDING MY CROPS HAD SOME GOOD YIELD AND I RENTED A GOOD PIECEOF LAND MY HOUSEHOLD MEMBERS ARE NOW HEALTHY NEW HOUSE, NEW CHAIRS AND FOOD IN PLENTY NO LONGER BUYING FOOD NO SICKNESS,GOOD HARVEST NUSAP,NAADJ,DISTRICT LEVEL SUPPORT ONE MEMBER FELL SICK HENCE REDUCING THE MAN POWER PLANTED FOOD PRODUCTION THAT MAKES HIM BETTER OFF THAN LAST YEAR PLANTED MAIZE AND IT HAS HELPED ME A LOT. I SELL MAIZE AND BUY MEDICIN PRODUCE ENOUGH FOOD AND SOLD SOME PROPER YIELD OF CROPS,GOOD HARVEST FROM FISHING PURCHASE / INVESTMENT IN OTHER PRODUCTIVE ASSET RECEIVED AN AID AND BOUGHT SAM ANIMALS REDUCED COST OF ITEMS LIKE FOOD COMPARED TO A YEAR AGO RELIEF GIVEN BY SAMARITAN SPARS (NGO) RELIEF GIVEN TO THEM SHE HAD ENOUGH FOOD COMPARED TO WHEN SHE LOST THE HUSBAND SHE IS GETTING BETTER AFTER OPERATION SHE IS HEALTHIER COMPARED TO A YEAR AGO CAN CULTIVATE ON HER OWN SHE WAS AQUIRING SAM BILLS TO HELP HER WITH FARM WORK SOLD GOATS AND PIGS SOME BETTER HARVEST THIS YEAR AND RELIEF SOME FOOD IS AVAILABLE FROM THE RECENT HARVEST SOME INCREASE IN INCOME FROM BUSINESS SOME LITTLE SORGHUM HAS BEEN HARVESTED THIS YEAR SOME MONEY IS REALISED FROM MY HUSBANDS BUSINESS SOME RELIEF GOT FROM THE NGO's SPENDS LESS ON MEDICAL CARE AND FOOD SINCE MUM LEFT TO VISIT MY SISTER STARTED A BUSINESS THAT RAISED THE INOME OF OUR HOUSEHOLD STARTED FISHING,LARGE SCALE FARMING,KEEPING LIVESTOCK STUDYING CHILDREN, PRODUCTIVE RENTAL LAND SUPPORT FROM MY SON AS I RECOVER FROM SLEEPING SICKNESS SUPPORT FROM THE DAUGHTERS AND RELIEF THE AGRICULTURAL PRODUCTION HAS INCREASED AS THIS THIS HAS RESULTED THE BOXES HE MAKES ARE BOUGHT SO FAST THE BUSINESS MAKES ALOT OF INCOME THE CROPS ARE DOING WELL IN THE GARDEN THE CROPS HAVE DONE MUCH BETTER THIS YEAR THE FOOD IS PROVIDED BY THE NCIOS(SAMARITAN'S PURSE) THE GOOD HERVEST THE H/HEAD GOT A JOB THE HARVEST HAS BEEN A LITTLE BETTER THIS YEAR COMPARED WITH LAST YEAR THE HARVEST HAS BEEN GOOD THE HARVEST HAS BEEN GOOD THIS YEAR COMPARED TO A YEAR AGO THE HARVEST HAS BEEN MUCH BETTER THIS YEAR THE HARVEST IS MUCH BETTER THE HARVEST IS MUCH BETTER THAN LAST YEAR THE HARVEST OF THIS YEAR WAS BETTER THAN A YEAR AGO THE HARVEST THIS YEAR HAS BEEN FAR BETTER THAN LAST YEAR THE HARVEST THIS YEAR HAS BEEN BETTER THAN LAST YEAR THE HARVEST THIS YEAR HAS BEEN GOOD COMPARED TO LAST YEAR THE HARVEST WAS A LITLE BETTER OFF COMPARED TO LAST YEAR THE HARVEST WAS BETTER COMPARED TO LAST YEAR THE HARVEST WAS BETTER THAN LAST YEAR THE HARVEST WAS GOOD GOT LOTS OF GROUNDNUTS THE HARVEST WAS MUCH BETTER THAN LAST YEAR THE HARVEST WAS POOR A YEAR AGO COMPARED TO THIS YEAR THE HERVEST IS BETTER THAN LAST YR THE HHOLD HAS INCOME TO MEET THE NEEDS THE HOUSE IS DOING BETTER INTERMS OF EDUCATION AND CROP PRODUCTION THE RAIN S HAVE BEEN ENOUGH WHICH FAVOURED A GOOD HARVEST THE RAINY SEASON THERE IS FOOD OR VARIOUS VEGETABLES TO FEED ON THE SEASON HAS BEEN PRODUCTIVE THE TOTAL LABOR HAS INCREASED THUS HIGH QUALITY THERE ARE ANIMALS AND ENOUGH WATER TO DRINK THERE HAS BEEN ALOT OF BEANS THERE HAS BEEN ALOT OF YIELD FROM THE FARM AND GOT ENOUGH TO SELL THERE HAS BEEN GOOD HARVEST AMONG PEOPLE THERE IS ACCESS TO FOOD DOR EATING COMPARED TO LAST YEAR THERE IS ACCESS TO FOOD THIS YEAR THERE IS ALOT OF FOOD IN THE FARMS THERE IS ALOT OF PRODUCTION IN TERMS OF FOOD THERE IS ATLEAST SOME HERVEST THERE IS BETTER HARVEST THERE IS BETTER HARVEST THIS YAER THERE IS BETTER HARVEST THIS YEAR THERE IS ENOUGH FOOD FOR THE FAMILY THIS YEAR THERE IS ENOUGH RAIN WHICH WILL LEAD TO GOOD HARVEST THERE IS FOOD AT HOME COMPARED TO LAST YR THERE IS GOOD HARVEST THIS YEAR THERE IS GOOG YIELD THERE IS HIGH FOOD PRODUCTION REALIZED THERE IS HOGH PRODUCTIVITY FROM THE GARDEN THERE IS IMPROVED HARVEST COMPARED TO LAST YEAR THERE IS LITTLE HARVEST THERE IS SAME HARVEST YHIS YEAR THERE IS SAME LITTLE HARVES THERE IS SOME FOOD IN THE GARDEN THERE IS SOME FOOD/GREEN VEGETABLES THERE IS SOME LITTLE FOOD HARVESTED THERE IS SOME LITTLE HARVEST THERE IS SOME LITTLE SORGHUM HARVESTED THERE WAS ENOUGH FOOD PRODUCED FROM THE GARDENS THERE WAS NO BUSINESS (BREWING )LAST YEAR AND HUNGER WAS SEVERE THEREM IS SOME LITTLE SORGHUM HARVESTED THIS YEAR THERES SOME FOOD DONATION RECEIVED THEY BROUGHT MORE AID PROJECTS IN THE AREA THEY NOW HAVE LAND THIS IS GOOD RAINS TO PLANT THIS WE CULTIVATD BIG LAND, BOUGHT PIGS, AND POULTRY THIS YEAR ATLEAST SHE MANAGED TO PLANT SOME CROPS THIS YEAR IS GOOD COMPARED TO LAST YEAR WHEN WE'RE AFFECTED BY FLOODS THIS YEAR ITS ALITTEL BETTER BECAUSE SOME SOGHUM HAS BEEN HARVESTED THIS YEAR NAADS GAVE ME GROUNDNUTS SEEDS TO PLANT & TWO HOES FOR FARMING THIS YEAR SHE GOT RELIEF FOOD FROM NGOS THIS YEAR THE HEALTH OF FAMILY MEMBERS HAS IMPROVED THIS YEAR THERE IS FOOD TO EAT THIS YEAR THERE IS SOME AID THIS YEAR THERE IS SOME FOOD FROM FARMING THIS YEAR WILL BE BETTER BECAUSE I PLANTED SUNFLOWER WAS ABLE TO GET GOOD HARVEST WE DONT BUY FOOD COMPARED TO LAST YEAR WE ENGAGE IN JOBS THAT EARN THEM SOME INCOME WE HAVE A GENERATOR AND TWO VEHICLES WE HAVE ALOT OF CROPS IN THE GARDENS AND THEY ARE DOING WELL WE HAVE GOOD HARVEST THIS YEAR WE HAVE GOTTEN A LOT FROM THE HARVEST WE HAVE GROWN ALOT OF FOOD WE HAVE HARVESTED ALOT OF GROUNDNUTS WE HAVE LIVESTOKE THATS WHY LIFE IS BETTER WE HAVE MANAGED TO AQUIRE SOME ANIMALS WE HAVE SOME FOOD TO EAT WE NOW HAVE WHAT TO EAT COMPARED TO LAST YEAR WE PLANTED ALOT OF CASSAVA AND EVEN SIMSIM FOR THE MEMBERS OF THE HOUSE WE PROPDUCED ENOUGH FROM THE GARDEN TO SELL WE ROOFED OUR HOUSE WE USED TO RENT AND BUY FOOD ITEMS BUT NOW WE GET FROM OUR OWN GARDEN WEMEN HAS HELPED ME IN TRAINING VARIOUS INVESTMENTS WORKING HARDER THAN LAST YEAR hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? 483 3492 1 increase in number or quality of labour (hh members) 2 increase in animals owned 3 increase in hhs own land or water resources 4 better access to land, water or other natural resources for production 5 purchase/investment in other productive assets 6 hh member got a (better) job / better paid 7 increaed income from animal husbandry, fishing or farming – higher production 8 increased income form animal husbandry, fishing or farming – lower input cost, higher sales prices 9 increased income from household business 10 aid project (ex. new ngo programme) 11 lower food costs 12 lower other living costs 13 decreased number of dependents 14 more support from remittances / other households 15 more support form formal aid (gov’t, ngo, religious) 16 sage programme transfers 97 other (specify) 98 dk/na Sysmiss hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? 3481 . A YEAR AGO CROPS WERE DESTROYED BY PEST ALOT FOOD PRODUCTION THIS YR AVAILABILITY OF FOOD DUE TO FAVOURABLE CONDITIONS BUILT A HOUSE ENOUGH FOOD TO EAT FAIR RAINNY CLIMATE SEASON THIS YEAR GOOD RAINS HAVE MANAGED TO COMPLETE MY HOUSE AND MAKE IT BETTER HAVING SUFFICIENT INCOME TO MEET THE HOUSEHOLD NEEDS HIGH YIELDS I HAVE ACQUIRED MORE HOUSEHOLD ITEMS I HAVE BUILT MY OWN HOUSE I HAVE PLANTED TEA THIS YEAR I LIVE IN A ABETTER HOUSE KNOW I MANAGED TO BUILD T ANEW HOME I USED TO EAT ONE MEAL A DAY BUT NOW I CAN AFFORD TWO MEALS INCREASE AGRICULTURAL PRODUCTION, SOLD CROPS AND BOUGHT ANIMALS LACK OF COOPERATION BETWEEN PARENTS AND CHILDREN LAST YEAR THERE WAS FAMINE MY CHILDREN TAKE CARE OF ME VERY WELL NOWADAYS I TRY AND SAVE SOME MONEY RAINFALL,PROPER CROP YIELDS REDUCES ILNESS AND ILLNESS,INCREASE IN AGRICULTURAL LABOUR REDUCTION ON THE ILLNESS AND SICKNESS OF TB THE HHOLD HAS SUFFICIENT MONEY TO MEET THEIR NEED THE SICK CHILD MENTALLY RETARDED IS GETTING BETTER THERE HAS BEEN A RELIABLE RAINFALL THAT FAVOURED CROPS THERE HAS BEEN A RELIABLE RAINFALL THROUGH OUT THERE HAS BEEN RAIN FALL THROUGHOUT THE YEAR THUS ENOUGH FOOD THERE IS ENOUGH FOOD STAFF THERE IS ENOUGH FOOD STAFF IN TH ESTUFF THERE IS ENOUGH FOOD STUFF THERE IS SAME FOODLIKE GREEN VEGETABLE THIS YEARS THERE IS SECURITY THERE IS SOMETHING TO EAT FOR THE FAMILY THIS YEAR HH MEMMBER 02 IS NOT VERY SICK LIKE LAST YEAR THIS YEAR MY COWS WERE STOLEN WE HAVENT FALLEN SICK SO MUCH hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? 3823 . A GOOD CLIMATE AND HARD WORK ABANDUNT RAINFALL ABUNDANT RAINFALL ADEQUATE RAIN ADEQUATE RAINFALL ADEQUATE RAINS ADOPTION OF MODERN FARMING METHODS ADVERSE CLIMATE ADVERSE CLIMATIC CONDITION ADVERSE CLIMATIC CONDITIONS AID FROM INTER RELIGIOUS COUNCIL OF UGANDA, GOOD CLIMATE AID PROJECTS AVAILABLE IN THE AREA ALOT OF RAIN ALOT OF RAINFALL AMPLE RAIN AMPLE RAINFALL AMPLE RAINS AVAILABILITY OF ENOUGH RAINFALL AVAILABILITY OF NGOS IN MOROTO AND FAVOURABLE CLIMATE AVAILABILITY OF PROJECTS IN THE AREA AVAILABILITY OF RAINFALL AVAILABILITY OF RESOURCES AVAILABILITY OF RESOURSES TO START BREWING AVAILABILTY OF RAINFALL AVAILABLE RAINFAL THIS AGRICULTURAL SEASON AVAILABLE RAINFALL AVALIABILITY OF RAIN THIS YEAR BECAUSE OF ENOUGH RAIN THIS SEASON BECAUSE OF THE RAINS BEING A RAINNY SEASON I ENGAGE IN AGRICULTURE TO MEET MY BASIC NEEDS BENEFICIAL CLIMATE BENEFICIAL CLIMATATIC CONDITION BENEFICIAL CLIMATE BENEFICIAL CLIMATIC CONDITION BENEFICIAL CLIMATIC CONDITIONS BETTER CLIMATE BETTER CLIMATIC CONDITIONS BETTER RAINS BETTER RAINS THAN LAST YEAR BETTER RAINS THUS BETTER PRODUCTION CHANGE IN LIFE CIRCUMSTANCE CHANGE IN LIFE CIRCUMSTANCES CHANGE IN MY LIFE SITUATION CHILDREN HAVE WELL PAYING JOBS CLIMASTIC CONDITION IS FAVOURABLE CLIMATE CLIMATE HAS BEEN GOOD AND THERE WERE NO PESTS CLIMATE HAS NOT BEEN SO BAD CLIMATE IS FAIR THIS YEAR COMMERCIAL BUILDING BRINGING INCOME (INVESTMENT) CONFLICT WITH NEIGHBOURS DEALING WITH DIFFERENT PEOPLE AND JOBS DID NOT CULTIVATE ENOUGH ACRES OF LAND DUE TO GOOD CLIMATIC CONDITION DUE TO GOOD RAINFALL DUE TO INCREASE IN MORE LAND TO CULTIVATE ENOUGH LAND AND MORE TRADING ACTIVITIES LIKE FISHING ENOUGH LAND TO CULTIVATE ENOUGH MARKET ENOUGH RAIN ENOUGH RAINFALL ENOUGH RAINFALL FOR OUR CROPS ENOUGH RAINS ENOUGH RAINS THAT ENABLE ME GET GOOD HARVEST FAVORABLE CLIMATE FAVORABLE CLIMATIC CONDITION FAVORABLE CLIMATIC CONDITIONS FAVORABLE RAINFALL LEVELS FAVORABLE RAINS IN 2012 FAVOURABLE FAVOURABLE CLIMATE FAVOURABLE CLIMATE CONDITION FAVOURABLE CLIMATE I.E ENOUGH RAIN FAVOURABLE CLIMATIC CONDITION FAVOURABLE CLIMATIC CONDITIONS FAVOURABLE CONDITION FAVOURABLE RAINFALL FAVOURABLE RAINS FAVOURABLE SEASON AND CLIMATIC CONDITIONS GAIN MUCH KNOWLEDGE ON AGRICULTURE GOOD AND AMPLE RAINS GOOD CLIMATE GOOD CLIMATE AMPLE RAINS AND MINIMAL SUNSHINE GOOD CLIMATE AND PREFERENCE OF NGO IN THE DISTRICT GOOD CLIMATE BALANCED RAIN/SUN GOOD CLIMATE HAS ENABLED BETTER HARVEST GOOD CLIMATE THIS TIME GOOD CLIMATE WEATHER GOOD CLIMATE/RAINFALL GOOD CLIMATIC CHANGE GOOD CLIMATIC CONDITION GOOD CLIMATIC CONDITION , ENOUGH RAINFALL GOOD CLIMATIC CONDITIONS GOOD HARVEST GOOD HARVEST (CLIMATE) GOOD HEALTH;GOOD CLIMATE;FAVOURABLE RAINFALL GOOD HERVEST GOOD RAINS GOOD SEASON GOOD WEATHER GOOD WEATHER AND MORE INCOME FROM HOUSEHOLD MEMBERS GOOD WEATHER RAINS GOOD WEATHER THAT WAS FAVOURABLE FOR AGRICULTURAL PRODUCTION GOOD YIELD GOOD YIELDS GOOD YIELDS AND CHILDREN GOT JOBS GOOD YIELDS DUE TO GOOD CLIMATE GOT MONEY FROM FARM PRODUCE AND ANIMALS HAD MORE TIME TO CONCENTRATE IN AGRICULTURE HARD WORK HARD WORK AND GOOD CLIMATE HARD WORK OF FAMILY MEMBERS HAVE ENOUGH LABOUR HEAVY DOWN POUR HEAVY RAINFALL HHERE IS ENOUGH RAIN THIS YEAR HIGH CROP BECAUSE OF GOOD CLIMATE HIGH CROP CULTIVATION DUE TO GOOD CLIMATE HIGH ENOUGH RAINFALL HIGH INCOMES EARNED HIGH RAINFALL HIGHER RAINFALL HOUSE HLD HEAD GOT A JOB HUSBAND STARTED WORKING I ACQUIRES KNOWLEDGE ON CROP HUSBANDRY I AM NOT ILL THIS YEAR ROUND I GOT BANANA SEEDLINGS FROM NAADS I HAD TO REDUCE MY EXPENDITURES I HAVE BEEN SELLING MY TEA AND OTHER CROPS TO GET MONEY I HAVE STARTED WORKING AS A BUILDER I PLANTED EARLY AND THE RAINS WERE FAVOURABLE I PLANTED IN TIME THIS YEAR I RECEIVED TREATMENT FROM HOSPITAL INCREASE IN CAPITAL FROM HOUSE HOLD LIVESTOCK INCREASE IN FARM PRODUCTION INCREASE IN HHOLD MEMBERS INCREASE IN INCOME INCREASE IN YIELDS OF CROPS INCREASED MARKET FOR LIVESTOCK INCREASED MARKET IN OUR5 AREA INCREASED RAINFALL INREASE IN HOUSEHOLD LABOUR AND GOOD CLIMATE IT HAS BEEN A GOOD SEASON FOR FOOD PRODUCTION IT HAS BEEN RAINING AND HE MADE PLENTY OF PUMPKIN IT RAINED THIS SEASON ITS RAINY NOT LIKE LAST YEAR WHEN IT WAS TOO SUNNY LAW RATE OF CONFLICT HAS BOUGHT BLESSING OF ENOUGH RAIN LIFE BECAME BETTER SINCE BUILDING A NEW HSE LOTS OF RAINFALL MANY OF THEM ARE MARRIED AND PROVIDE SUPPORT MANY PEOPLE COME FROM OTHER PLACES AND PROVIDE MARKET FOR THE PRODUC MARKET FOR MY PRODUCE MARKET FOR OU CROPS MARKET FOR OUR PRODUCE MARKET FOR PRODUCES MODERATE RAINFALL MORE CULTIVATED LAND AND ENOUGH RAIN MORE HARVEST DUE TO GOOD RAINS MORE TRADING IN THE AREA MORE TRADING OPPORTUNITIES MUM LEAVING HOME NAADS PROJECT WHICH GEVE SEEDS TO GROW NO RAIN FOER THE WHOLE YEAR NO WEEDS,RAIN OLD AGE PEACE HAS BEEN PROMOTED IN THE AREA POWER AND ENERGY PRECENCE OF RAINS PRESENCE OF NGO IN THE AREA PRESENCE OF NGO`S IN THE COMMUNITY PROPER RAINFALL RAIN HAS BEEN ENOUGH THAN AYEAR AGO RAIN IS ENOUGH RAIN IS ENOUGH FOR CULTIVATION RAINFALL RAINFALL HAS BEEN THERE RAINFALL IS ENOUGH RAINFALL WAS ENOUGH RECEIVED AN AID FROM THE GOVT RELIABLE RAIN RELIANCE ON NG'OS (RELIEF AID) RELIEF FOOD RENTED OUT OUR LAND TO GET MONEY TO ROOF OUR HOUSE SEASON HAS BEEN ABIT GOOD SELLING MORE FARM PRODUCE SEPARATED WITH THE HUSBAND AND HAS COME BACK HOME SICKNESS SICKNESS AND OLD AGE SOLD COFFEE AS WELL AS OTHER COMPLIMENTARY SOURCES SOLD FOOD AND GOT SOME MONEY SOLD OFF MY COFFEE AND BOUGHT THEM SOLD SOME FARM ANIMALS TO BUY SUNFLOWER SEEDS SOLD SOME PRODUCE AND GOT MONEY TO BUY ANIMALS SUITABLE AND RELIABLE WEATHER CONDITIONS SUITABLE RAIN THE BUSINESS HAS GROWN BIG THE BUSINESS IS BRINGING GOOD MONEY THE CHILD IS NOW DOING WELL THE CLIMATE HAS BEEN GOOD THE CLIMATE RAINS WAS GOOD THE CLIMATE WAS GOOD THE CONFLICT HAS BN STABILISED THE H/HEAD IS NOW EMPLOYED THE HH MEMBER 2 IS DOING SAME BUSINESS TO BUY DRUGS THE NEW NGO'S PROVIDING FOOD HAVE SOME THE RAIN COME EARLY AND WE PLANTED EARLY THE RAIN HAS BEEN GOOD FOR AGRICULTURE WORK THE RAIN WAS FAVOURABLE FOR CROPS TO GROW THE RAINFALL HAS BEEN FAIR THE RAINS CAME IN EARLY AND IT WAS ENOUGH TO GROW THE CROPS THE RAINS FAVOURED THE CROPS GROWN THE RAINS HAVE BEEN FAVOURABLE THE RAINS HAVE BEEN FAVOURABLE FOR AGRICULTURE THE RAINS HAVE BEEN GOOD WHICH FAVOURED THE SEEDS FOR GROWING THE RAINS HAVE BROUGHT FOOD THE RAINS WERE ADEQUATE THE RAINS WERE CONSISTENT AND HAD ACCESS TO OXEN THE RAINS WERE EARLY THE RAINS WERE ENOUGH FOR THE CROPS THE RAINS WERE FAVOURABLE THE RAINS WERE FAVOYRABLE THE RAINS WERE GOODAND FAVOURABLE THE RAINS WERE JUST ENOUGH FOR THE CROPS TO GROW WELL THE RAINS WERE NOT ENOUGH FOR THE CROPS THE SEASON WAS GOOD THE SUN DINN'T DESTROY THE CROPS THE SUNSHINE WAS TOO MUCH THE WEATHER HAS BEEN FAVOURABLE FOR CULTIVATION THE WEATHER NOW FAVOURS GROWTH OF CROPS THE WEATHER WAS FAVOURABLE FOR THE GOOD AGRICULTURAL PRODUCTION THE WEATHER WAS GOOD THE WEATHER WAS GOOD THIS YEAR THOUGH IT HAS CHANGED THE WEATHER WAS NOT BAD THERE HAS BEEN ALOT OF LABOUR THERE ARE GRASSES FOR THEM TO EAT THERE HAS BEEN A LOT OF RAINFALL THERE HAS BEEN ENOUGH RAIN THIS YEAR THERE HAS BEEN MORE INVESTMENT WHICH YIELD MORE INCOME FOR THE HH THERE HAS BEEN SERIOUS WATER DOWN POUR THERE IS ENOUGH RAIN THERE IS ENOUGH RAIN FOR CULTIVATION THERE IS ENOUGH RAIN IN THE YEAR THERE IS ENOUGH RAIN THIS YEAR THERE IS INCREASED TRADING IN THE AREA THERE IS RAIN THERE IS RAIN THIS YEAR THERE IS READY MARKET THERE WAS ALOT OF RAIN FOR FARMING THERE WAS ALOT OF RAINFALL THERE WAS ALOT OF RAINFALL FROM APRIL SO PLANTED ENOUGH CROPS THERE WAS ENOUGH RAIN THERE WAS NO RAIN THEY GOT A LOAN AND THE WEATHER WAS FAVOURABLE THROUGH AGRICULTURAL PRODUCTION TO MUCH RAINFALL TOO MUCH RAINFALL HENCE LEADING TO HIGH YIELDS TSETSE FLY UNITING WITH THE CHILDREN AND WORKING HARD USED FERTILISER,RENTED LAND,SOLD THE PRODUCE USED THE LITTLE SAVINGS WISELY AND BOUGHT A MOPTOR CYCLE WAS ABLE TO SELL MY LIVESTOCK AT A GOOD PRICE WE HAVE MARKET IN OUR AREA NOW WEATHER HAS BEEN GOOD WORKING ALITTLE BIT HARDER WORKING ON SEVERAL JOBS FOR DIFFERENT JOBS hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? 480 3495 1 increase in number or quality of labour (hh members) 2 increase in animals owned 3 increase in hhs own land or water resources 4 better access to land, water or other natural resources for production 5 purchase/investment in other productive assets 6 hh member got a (better) job / better paid 7 increaed income from animal husbandry, fishing or farming – higher production 8 increased income form animal husbandry, fishing or farming – lower input cost, higher sales prices 9 increased income from household business 10 aid project (ex. new ngo programme) 11 lower food costs 12 lower other living costs 13 decreased number of dependents 14 more support from remittances / other households 15 more support form formal aid (gov’t, ngo, religious) 16 sage programme transfers 17 97 other (specify) 98 Sysmiss hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? 3489 . ABLE TO BUDGET DUE TO NO DEPENDENT BETTER/GOOD SOIL BOUGHT ANIMALS (COWS) FOR DIGGING MAKING IT EASY AND QUICK CULTIVATED USING AN OXPLOUGH HANCE CULTIVATED A LOT DOUGHTERS AND SONS GOT EMPLOYED EARLY FARMING HELPED ME ALOT GET AN OPPORTUNITY TO RENT LAND FOR FARMING GOES TO WORK GOVERNMENT HAS PROTECTED US WELL HAD MANY HOUSEHOLD MEMBERS HARD WORK HARDWORK AND DETERMINATION HARDWORK PAYS I HAVE WORKED HARD IMPROVE LABOUR USING MONEY IMPROVED WORKING CONDITIONS INCREASED NUMBER OF PEOPLE TO PROVIDE LABOR LAST YEAR I WAS SICK BUT NOW AM STRONG LOAN ACQUISITION MORE ANIMALS PURCHASED AND ADDITIONAL HOUSEHOLD BUSINESSES MORE LAND GIVEN TO US FOR CULTIVATION MORE PEOPLE ARE REPAIRING THEIR BICYCLE THIS YEAR MORE TIME SPENT ON THE FARM BY MY FATHER MY CHILDREN STARTED UP THEIR OWN HOMES MY RELATIVE HAS GIVEN ME A HOUSE TO STAY PEACE HAS BROUGHT GOOD HARVEST PEACE HAS IMPROVED HARVEST PROMOTION PROPER PRESERVATION OF THE ENVIRONMENT AND SOIL RECEIVE TREATMENT RENTED LAND FOR CULTIVATION RENTING ANOTHER ACRE OF LAND AND PUTING MORE ENERGY IN DIGING SHE HAS BEEN GIVEN A GARDEN THAT WAS INITIALY TAKEN BY HER SOLD MY COW SOLD MY FARM AND AM USING THAT MONEY FOR BUILDING SOLD OFF ONE HIS MOTORCYCLES AND EXPANDED THE BUSINESS SON HELP HER FARM USING PLOUGH UNLIKE BEFORE THE HEAD OF THE FAMILY GOT A BETTER JOB THE HUSBAND GOT A PRETY JOB THERE IS NO SECURITY IN THE VILLAGE THEY SAT DOWN AND AGREED ON HOW TO TAKE CARE OF ME THIS IS WHAT I GOT SOME MONEY FOR CULTIVATION THIS YEAR I CULTIVATED ON DRY LAND BUT LAST YEAR WAS IN TH TREATMENT WE SOLD ALMOST TO BUY THE PIGS AND POULTRY hh10 q5:in the last 12 months has your household suffered a particular problem o hh10 q5:in the last 12 months has your household suffered a particular problem o hh10 q5:in the last 12 months has your household suffered a particular problem o hh10 q5:in the last 12 months has your household suffered a particular problem o hh10 q5:in the last 12 months has your household suffered a particular problem o 3975 1 yes 2 no 98 dk/n/a hh10 q6:what was the problem - first mention? hh10 q6:what was the problem - first mention? hh10 q6:what was the problem - first mention? hh10 q6:what was the problem - first mention? hh10 q6:what was the problem - first mention? 1756 2219 1 loss of productive household member (death) 2 loss of productive household member (leaving hh) 3 illness/injury of household member 4 loss of (non-productive) household member (death) 5 loss of hhs own land or water resources 6 loss of access to land, water or other natural resources for production 7 loss of other productive assets (tools, machinery etc) 8 less income or loss of job 9 less income from animal husbandry, fishing or farming – lower volume of production 10 less income from animal husbandry, fishing or farming – higher costs or lower sales prices 11 less income from animal husbandry, - lower volume of sales 12 less income from other household business 13 increased number of dependents 14 large expenditure due to ill health or death of hh member (inc funeral) 15 large expenditure on social obligations 16 increased cost of food 17 increased cost of fuels, transport or other necessities 18 debt repayments 19 loss of aid (ex. ngo programme finishing) 42 loss of hhs own animals 97 other (specify) 98 don't know/no response Sysmiss hh10 q6:what was the problem - second mention? hh10 q6:what was the problem - second mention? hh10 q6:what was the problem - second mention? hh10 q6:what was the problem - second mention? hh10 q6:what was the problem - second mention? 388 3587 1 loss of productive household member (death) 2 loss of productive household member (leaving hh) 3 illness/injury of household member 4 loss of (non-productive) household member (death) 5 loss of hhs own land or water resources 6 loss of access to land, water or other natural resources for production 7 loss of other productive assets (tools, machinery etc) 8 less income or loss of job 9 less income from animal husbandry, fishing or farming – lower volume of production 10 less income from animal husbandry, fishing or farming – higher costs or lower sales prices 11 less income from animal husbandry, - lower volume of sales 12 less income from other household business 13 increased number of dependents 14 large expenditure due to ill health or death of hh member (inc funeral) 15 large expenditure on social obligations 16 increased cost of food 17 increased cost of fuels, transport or other necessities 18 debt repayments 19 loss of aid (ex. ngo programme finishing) 42 loss of hhs own animals 97 other (specify) 98 don't know/no response Sysmiss hh10 q6:what was the problem - third mention? hh10 q6:what was the problem - third mention? hh10 q6:what was the problem - third mention? hh10 q6:what was the problem - third mention? hh10 q6:what was the problem - third mention? 72 3903 1 loss of productive household member (death) 2 loss of productive household member (leaving hh) 3 illness/injury of household member 4 loss of (non-productive) household member (death) 5 loss of hhs own land or water resources 6 loss of access to land, water or other natural resources for production 7 loss of other productive assets (tools, machinery etc) 8 less income or loss of job 9 less income from animal husbandry, fishing or farming – lower volume of production 10 less income from animal husbandry, fishing or farming – higher costs or lower sales prices 11 less income from animal husbandry, - lower volume of sales 12 less income from other household business 13 increased number of dependents 14 large expenditure due to ill health or death of hh member (inc funeral) 15 large expenditure on social obligations 16 increased cost of food 17 increased cost of fuels, transport or other necessities 18 debt repayments 19 loss of aid (ex. ngo programme finishing) 42 loss of hhs own animals 97 other (specify) 98 don't know/no response Sysmiss rhh10 q6:what was the problem - other 1? rhh10 q6:what was the problem - other 1? rhh10 q6:what was the problem - other 1? rhh10 q6:what was the problem - other 1? rhh10 q6:what was the problem - other 1? 188 CHILDREN HAD NOTHING TO EAT SO SHE MOVED AND LEFT THEM WITH GMOTHER CLIMATE CHANGES AND SEASONS WAS APROBLEM COURT CASE EXPENDITURE COURT CASE OVER FAMILY LAND HAS LED TO INCREASED EXPENDITURE CROPS WERE SWEPT AWAY BY FLOODS DEATH AND SICKNESS DEATH OF A PERSON SHE WAS BUYING LAND FROM DEATH OF BROTHER DEATH OF GRAND CHILD DEATH OF GRAND CHILDREN DEATH OF GRAND MOTHER DEATH OF GRANDMOTHER DEATH OF HIS MOTHER AND THE SON BROKE HIM DOWN DEATH OF MOTHER DEATH OF MY GRAND CHILD THIS YEAR IN MARCH DEATH OF MY GRAND MOTHER DEATH OF MY GRANDCHILDREN DEATH OF MY NEPHEW THIS YEAR DEATH OF MY SON DEATH OF MY WIFE DEATH OF MY YOUNG BROTHER DEATH OF NON HOUSEHOLD MEMBER DEATH OF SON INLAW DEATH OF STEP CHILD, ILLNESS OF HOUSEHOLD MEMBERS DEATH OF THE BROTHER'S SON AND THE GRAND CHILD, NO FOOD DISEASES/SICKNESS DOMESTIC VIOLENCE AND WRANGLE OVER PROPERTY WITH THE SPOUSE DOMESTIC VIOLENCE(HUSBANCHASED ME A WAY ),SICKNESS EDUCATION EDUCATION FEES EDUCATION HAS BECOME EXPENSIVE FAILED TO PAY FOR SCHOOL FEES FAILURE TO PAY SCHOOL FEES FAMINE FAMINE (HUNGER) FAMINE HUNGER FEES FEES(EDUCATION) FERMINE IS THE CAUSE OF SICKNESS FLOODING FLOODS FRUSTRATION BECAUSE MY NAME SCRAPPED FROM PAYROLL GOING TO THE COURT TO SETTLE ISSUES OF LAND HAVE SPENT ALOT IN LAND CAUSES-PEOPLE TRYING TO TAKE MY LAND HE WAS THREATENED TO BE INPRISONED BY THOSE WHO STOLE HIS CATTLE HIS HOUSE GOT BURNT WITH EVERYTHING INSIDE HOUSE AND EVRYTHING IN IT GOT BURNT HOUSE GOT BURNT WITH EVERYTHING INSIDE HOUSEHOLD LOST A BROTHER AND THE BURDEN BORN BY THE HOUSEHOLD HOUSEHOLD PROPERTY STOLEN THREE TIMES HUNGER HUNGER BECAUSE THERE IS NO FOOD TO EAT HUNGER PROBLEM HUNGER,SICKNESS,SCHOOL FEES I AM EVER DOWN TAKEN CARE BY WELL WISHERS I FELL SICK THIS YEAR AND WAS ADMITTED I HAD A PROBLEM CONSTRUCTING MY HOUSE I HAD A PROBLEM OF FAMINE, I HAD NO FOOOD TO EAT I HAD A PROBLEM OF PAYING SCHOOL FEES FOR THE CHILDREN I HAD PROBLEM OF SCHOOL FEES I HAVENT TAKEN MY GRAND DAUGHTER TO SCHOOL I WAS ROBBED AND ALL MY PROPERTY WERE TAKEN ILLNESS ILLNESS OF DAUGHERS,FARMING,FEEDING OF CHILDREN ILLNESS OF HOUSEHOLD HEAD AND SPOUSE,SCHOOL FEES PROBLEM ILLNESS OF THE HOUSEHOLD HEADD, HUNGER SO HAD TO BORROW ABOUT 20000 IMPPRISONMENT OF BROTHER IMPRISONMENT IMPRISONMENT OF PRODUCTIVE HOUSEHOLD MEMBER INADEQUATE FUNDS TO PAY FOR CHILDREN FEES AND OTHER NECESSITIES INCREASED COST OF LABOUR IS OLD AND CANNOT HELP THE GRAND CHILDREN LACK OF FEES TO PAY FOR THE CHILDREN LACK OF FOOD LACK OF FOOD CASSAVA, BEANS LACK OF MONEY TO CATER FOR HOSPITAL BILLS LACK OF MONEY TO GO TO PRIVATE HOSPITAL FOR CHECK UP LACK OF SCHOOL FEE TO THE CHILDREN LACK OF SCHOOL FEES LACK OF SCHOOL FEES FOR MY CHILDREN LAND CONFLICT LAND GRABING LAND WANGLES LAND WRANGLES LARGE EDUCATION EXPENCES LONGTIME ILLNESS OF PRODUCTIVE HH MEMBER LOSS OF AGRICULTURAL PRODUCE THROUGH THEFT LOSS OF PROPERTY E.G THE HOUSE, CROPS E.T.C LOST MY CATTLE LOST OUR HOUSE TO FIRE AND DAMAGE ON LOT OF PROPERTIES MARRYING FOR BOYS WOMEN MONEY WAS STOLEN FROM THE HOUSE MY 3 CHILDREN RAN MAD THIS YEAR MY ELDER SON HUNGED HIMSELF WITH A ROPE AND LEFT BEHIND CHILDREN MY HOUSE COLLAPSED MY HOUSE GOT BURNT MY HOUSE GOT BURNT AND I LOST ALOT OF PROPERTY MY HOUSE GOT BURNT AND I LOST EVERYTHING MY HOUSE GOT BURNT THIS YEAR IN JUNE BY MY DAUGHTER MY HOUSE GOT BURNT WITH EVERYTHING ON IT MY HOUSE WAS BURNT AND REMAINED WITH NOTHING MY HUSBAND WAS ARRESTED AND IMPRISONED MY HUT GOT BURNT LAST YEAR DECEMBER BY MY GRAND SON MY MONEY WAS STOLEN MY SON IMPREGNATED A GIRL AND I WAS FINE MY SON IMPREGNATED A NEIGHBORS DAUGHTER MY SON IMPREGNATED A STUDENT AND I WAS MADE TO PAY A FINE MY SON PASSED HIS UACE AND I FAILED TO GET MONEY FOR UNIVERSITY MY WIFE DEVORCED ME NO FOOD TO EAT,HUNGER. NO HOUSES FOR SLEEPING NO MONEY FOR SCHOOL FEES PAID FINE TO SOMEONE WHOSE DAUGHTER WAS IMPREGNATED BY MY SON PAYING DEBTS PAYING FEES PAYING SCHOOL FEES POOR HOUSING POVERTY PROBLEM OF PAYING SCHOOL FEES,PAYING BILLS FOR SICK CHILDREN PROBLEM OF SCHOOL FEES RAPE RELATIVES WANTED TO STOLE MY LAND REPAIRING THE BUILDING ROBBERY OF MONEY FROM THE HOUSEHOLD SCHOOL FEES SCHOOL FEES FOR THE CHILDREN SCHOOL FEES RPOBLEM.I HAVE MANY CHILDREN WHOOM I PAY SCHOOL FEES TO SHE FAILED TO GET MONEY FOR SCHOOL FOR OLDEST SON SHE NETS SICK DUE TO OLD AGE , SHE LOST HER AUNT AND LOST ASSESTS SHOOL FEES PROBLEMS SICKNESS HIGH COST OF FOOD SICKNESS OF HOUSEHOLD MEMBER AND INCREASED COST OF FOOOD SICKNESS OF THE CHILD AND UNABLE TO PAY BILLS,LACK OF SCHOOL FEES SICKNESS OF THE HHOLD HEAD SICKNESS, FAMINE SICKNESS,STOLE MY HOUSEHOLD PROPERTY AS WELL AS MY ANIMALS SOME SICKNESS IN THE THROAT THAT MADE FARMING HARD FOR HER SOMETIMES I LACK WHAT TO EAT BECAUSE OF LOW INCOME SON WAS ARRESTED AND IMPRISONED SON WAS ARRESTED OVER BUYING A STOLEN GOAT STOLEN BUSINESS THE CHILD OF A HOME WAS ARRESTED AND PUT IN JAIL THE CROPS SWEPT AWAY BY RUNNING WATER FROM THE GARDENS THE CROPS WERE SWEPT AWAY FROM THE GARDEN DUE TO HEAVY RAINS THE CROPS WERE SWEPT FROM THE GARDEN DUE TO OVERFLOWING WATER THE FLOODS SUBMERGED ALL THE CROPS IN THE GARDEN THE HEAD OF HHOLD DOPED WITH SOMEONES NEIGHBOUR THE HOUSE COLLAPSED THE HOUSE GOT BURNED BY MY GRANDSON OMARA WHEN WE HAD GONE MARKET THE HOUSE GOT BURNT IN AUGUST 2011 THE HOUSE GOT BURNT WITH ALL HOUSEHOLD PROPERTIES THE HOUSE GOT BURNT WITH EVERYTHING INSIDE THE HOUSEHOLD RAN SHORT OF FOOD THE HUSBAND WAS TAKEN TO COURT AND THEY COULD NOT AFFORD THE FINE THE ONLY HUT SHE USES FOR LIVING COLLAPSED THE RELATIVES ARE CHASSING ME OUT OF THE PREMISES MY HUSBAND LEFT THE WATER SUBMERGED CROPS IN THE GARDEN THEFT THEFT OF THE MONEY, FREQUENT GOING TO THE COURT THEFT. HOUSEHOLD ASSETS WERE STOLEN. THEY EXTRACTED ONE OF MY TOOTH BADLY EVER SINCE THEN I HAVE NO PEAC TWO HUTS WERE SET ON FIRE BY UNKNOWN PERSONS WITH LOTS OF HOUSEHOLD UNABLE TO BUY FOOD,AND GRAND SONS FEES UNABLE TO MEET HOUSEHOLD NEEDS LIKE BUYING FOOD & PAYING SCHOOL FEE VIOLENCE CAUSED BY MOTHER IN LAW WHO ACCUSED ME OF KILLING HUSBAND WAS ARRESTED FOR FISHING AND MOTHER SOLD LIVESTOCK TO GET HIM OUT WE FAILED TO RAISE MY GRAND CHILD'S EDUCATION WENT TO COURT SOME ONE WANTED TO GRAB MY LAND FROM ME rhh10 q6:what was the problem - other 2? rhh10 q6:what was the problem - other 2? rhh10 q6:what was the problem - other 2? rhh10 q6:what was the problem - other 2? rhh10 q6:what was the problem - other 2? 20 AFTER HE DIED ASSETS E.GMATRESS DEATH OF GRAND CHILD DISTRUCTION OF AGRICULTURE,PLANTS EDUCATION FEES GOT AN ACCIDENT IN THIS MONTH HOUSE WIFE AND CHILD LEFT THE HOUSEHOLD AFTER A CONFLICT HUNGER AND LACK OF SCHOOL FEES I HAVE FAILED TO ERECT A HOUSE TO LIVE IN. I HAVE NO HEL ILLNESS OF HOUSE HOLD HEAD AND SPOUSE LACK OF AN OX PLOUGH LACK OF MONEY TO PAY FOR THE HOSPITAL BILLS WHEN CHILDRE LESS INCOME FROM HH BUSINESS LOST MY CHILD MARRIAGE OF MY SON(SON'S MARRIAGE EXPENSE) PAYING FEES POOR SHELTER SCHOOL FEES PROBLEM THEFT OF MONEY THERE IS NO MONEY TO CATER FOR FAMILY NEEDS. hh10 q7:how did your household attempt to cope with this problem - first mention hh10 q7:how did your household attempt to cope with this problem - first mention hh10 q7:how did your household attempt to cope with this problem - first mention hh10 q7:how did your household attempt to cope with this problem - first mention hh10 q7:how did your household attempt to cope with this problem - first mention 1756 2219 1 mortgage assets 2 sell assets 3 sell livestock 4 use savings 5 withdraw children from school 6 sent children for wage employment 7 send children to live elsewhere 8 migration 9 formal borrowing 10 informal borrowing 11 reduce consumption 12 consume lower quality food/ less preferred food 13 help provided by relatives and friends 14 help provided from local governments 15 more wage employment 16 change crop choices to avoid bad weather or pest attack 17 improve technology 18 work as self employed 19 increased agricultural labor supply 97 other 98 don't know/no response Sysmiss hh10 q7:how did your household attempt to cope with this problem - second mentio hh10 q7:how did your household attempt to cope with this problem - second mentio hh10 q7:how did your household attempt to cope with this problem - second mentio hh10 q7:how did your household attempt to cope with this problem - second mentio hh10 q7:how did your household attempt to cope with this problem - second mentio 473 3502 1 mortgage assets 2 sell assets 3 sell livestock 4 use savings 5 withdraw children from school 6 sent children for wage employment 7 send children to live elsewhere 8 migration 9 formal borrowing 10 informal borrowing 11 reduce consumption 12 consume lower quality food/ less preferred food 13 help provided by relatives and friends 14 help provided from local governments 15 more wage employment 16 change crop choices to avoid bad weather or pest attack 17 improve technology 18 work as self employed 19 increased agricultural labor supply 97 other 98 don't know/no response Sysmiss hh10 q7:how did your household attempt to cope with this problem - third mention hh10 q7:how did your household attempt to cope with this problem - third mention hh10 q7:how did your household attempt to cope with this problem - third mention hh10 q7:how did your household attempt to cope with this problem - third mention hh10 q7:how did your household attempt to cope with this problem - third mention 66 3909 1 mortgage assets 2 sell assets 3 sell livestock 4 use savings 5 withdraw children from school 6 sent children for wage employment 7 send children to live elsewhere 8 migration 9 formal borrowing 10 informal borrowing 11 reduce consumption 12 consume lower quality food/ less preferred food 13 help provided by relatives and friends 14 help provided from local governments 15 more wage employment 16 change crop choices to avoid bad weather or pest attack 17 improve technology 18 work as self employed 19 increased agricultural labor supply 97 other 98 don't know/no response Sysmiss hh10 q7:how did your household attempt to cope with this problem - other 1? hh10 q7:how did your household attempt to cope with this problem - other 1? hh10 q7:how did your household attempt to cope with this problem - other 1? hh10 q7:how did your household attempt to cope with this problem - other 1? hh10 q7:how did your household attempt to cope with this problem - other 1? 163 ADVISE FROM FRIENDS BORREWED MONEY FROM VSLD BORROWED A COW FROM A FRIEND CALL FOR PRAYERS AT HOME CASUAL LABOUR CASUAL LABOURING CHANGED SCHOOL FOR THE CHILDREN CHILDREN REPORTED LATE TO SCHOOL COLLECTING DOWRY FROM SON-IN-LAW TO PAY CATTLE DECIDED NOT TO GO FOR BURIAL DECIDED TO GO FOR BURIAL DID NOTHING FAILED TO GET SOLUTION FARMING FENCED THE AREA TO AVOID CATTLE FROM GETTING IN FIREWOOD FREE MEDICATION FROM GOVERNMENT HOSPITAL FRIENDS GAVE THEM TWO COWS TO KEEP FULL TIME PARTICIPATION IN FARMING GO FOR TREATMENT TO THE GOVERNMENT HOSPITAL GO TO PEOPLE GODS PRAYER GOING FOR TREATMENT TO THE HOSPITAL GOT A LOAN GOT FOOD FROM THE GARDEN GOT HELP AND SUPPORT FROM THE COMMUNITY GOT NO HELP FROM ANYONE GOT TREATED FROM A HOSPITAL GOVERNMENT AND CLAN MEMBERS SOLVED THE PROBLEM HAD TO LET IT GO AND HAVE A NEW LIFE HAVE NO PLACE TO MOVE TO HE SOLD SUGAR CANE TO RAISE SOME MONEY HELP FROM GROUP ROSCA HELP FROM NGO HELP FROM RELATIVES AND FRIENDS I AM STILL TRYING TO LOOK FOR MONEY TO ROOF THE NEW HOUSE I DECIDED TO DIG INORDER TO GET BACK I GAVE GOAT FOR THE BURIAL I HAD TO PLANT MY SONS GARDEN I HAVENT SOLVED THE PROBLEM I I DECIDED TO GO TO THE GOVERNMENT'S HOSPITAL WHICH IS FREE I PREPARED WARAGI AND SOLD TO GET MONEY I RENTED LAND AS I WAITED THE COURT PROCEEDINGS I SLAUGHTERED A COW TO MEET BURIAL EXPENSES I SLAUGHTERED THE ONLY COW I HAD TO CATER FOR THE BURIAL EXPENSES I SOLD AGRICULTURAL PRODUCE LIKE BEANS AND MAIZE I SOLD BEANS CASSAVA I SOLD MAIZE TO SOLVE THE PROBLEM I SOLD MY HARVESTS CARROTS I SOLD MY MILLET I HAD TO RECEIVE TREATMENT I SOLD MY TEA TO TREAT MYSELF BUT STILL AM NOT OK I SOLD MY WARAJI TO OVERCOME MY PROBLEM I SOLD SUNFLOWER I SOLD TOBACCO TO SOLVE THE PROBLEM I SOLD WARAGI MADE FROM MY BANANAS AND SOME IN THE MONG I TALKED TO SCHOOL ADMINISTRATION AND WHO ACCEPTED AND GAVE BURSARY I TOOK CHILDREN FOR TREATMENT TO THE HOSPITAL IHAD NO MONEY TO HELP ME INCREASED AGRICULTURAL PRODUCTION BY POLANTING MORE CROPS JUST SURENDERED THE LAND KILLED COWS FOR KEEPING MOVED SOMEWHER AND THE PAID ME NO ACTION TAKEN NOT YET COPED NOTHING NOTHING BECAUSE AM NOT OPERATED BECAUSE OF LACK OF MONEY NOTHING BECAUSE I HAVE NO CHILD TO TAKE CARE OF THE MEDICAL BILLS NOTHING BECAUSE I HAVE THE SAME PROBLEMS NOTHING BECAUSE THEY HAVE NOT YET OPERATED ME. NOTHING COULD BE DONE TO GET THE HUSBAND OUT OF PRISON NOTHING THOT OF.THE CHILD WILL NOT GO TO SCH UNTILL FURTHER NOTICE NOTHING WAS DONE TO SOLVE PARTICIPATED IN CASUAL WORK PLANTED SOME CASSAVA PLANTING AND SELLING FOOD PRAYED AND SOUGHT SPIRITUAL HELP PRAYER RECEIVING FOOD FROM RELATIVES REDUCING HOURS OF WORK RELATIVES RENTED OUT PIECE OF MY LAND TO GET MONEY REPORT TO CHAIR PERSON REPORTED TO CHAIRPERSON BUT WAS NOT HELPED SALE OF BEANS SECHING OUT PUT SELL AGRICULTURAL PRODUCE SELL CROPS SELL MATOKE TO BUY FOOD SELL OF AGRICULTURAL PRODUCE SELL OF AGRICULTURAL PRODUCE EG CASSAVA SELL OF MAIZE SELL OF ORANGES, CASSAVA SELL OF POULTRY SELL OF PRODUCE (AGRICULTURAL PRODUCE) SELL PRODUCE SELL THE PRODUCE E.G MAIZE TO GET MONEY TO BUY FOOD SELLING AGRICULTURAL PRODUCE MILLET SELLING CASSAVA,BEANS AND MAIZE SELLING CHICKEN FIREWOOD SELLING FIREWOOD SELLING HOUSEHOLD AGRICULTURAL PRODUCTS SELLING LABOUR SELLING LABOUR IN PEOPLES SELLING LABOUR TO GET MONEY FOR TREATMENT SELLING OF AGRICULTURAL PRODUCTS LIKE BEANS AND GROUNDNUTS SELLING OF AGRICULTURAL PRODUCTS(SUGAR CANE) SELLING OF BEANS SELLING OF BEANS , PEAS, GROUND NUTS SELLING OF FOOD LIKE MAIZE SELLING OF THE FOOD CROPS SELLING OF THE HOUSEHOLD GOODS LIKE MAIZE SELLING SUNFLOWERS SELLING WHAT WAS MEANT FOR HOUSEHOLD CONSUMPTION SELLS FEW CROPS OBTAINED FROM AGRIC MEANT FOR CONSUMPTION SEPARATION SET UP BUSINESS SHE HAD TO CONSTRUCT ANOTHER HUT WITH HELP OF RELATIVES SMALL SCALE FARMING SOLD AGRICULTURAL PRODUCTS SOLD CASSAVA TO GET MONEY AND BUY PROPERTY SOLD FARM PRODUCE TOM GET MORE MONEY SOLD FOOD SOLD FROM THE GARDEN SOLD HOUSEHOLD PRODUCE SOLD MAIZE SOLD MAIZE TO HELP SOLVE THE PROBLEM SOLD MAIZE TO SOLVE THE PROBLEM SOLD MUCH OF THE HARVEST SOLD MY GROUNDNUTS AND IRISH POTATOES SOLD MY MAIZE SOLD MY OUTPUT CROPS LIKE BEANS SOLD PRODUCE SOLD PRODUCE FROM THE GARDEN SOLD SOGHUM TO PAY FOR FEES SOLD SOME BANANAS TO PAY SOLD SOME FOOD PRODUCTS SOMEONE GAVE HER WHAT TO EAT SOUGHT LEGAL JUSTICE STILL THE SAME SUPPORT FROM RELATIVES THE CASE IS STILL IN COURT THE FOOD PROBLEM WAS SOLVED BY SPONSORSHIP GIVEN BY AN NGO THE PERSON WHO BURNT IT PAID IT OFF TRY TO FIT IN THE SAME HUT ALMOST 7 PEOPLE WALKED FOR TWO DAYS TO REACH THE HEALTH FACILITY WE ARE TRYING TO LOOK FOR MONEY TO THATCH THE HOUSE AND RECONSTRUCT WE RELOCATED TO ANOTHER UNUSED LAND TO CULTIVATE WE SURVIVE BECAUSE OF GOD'S MERCY WE WENT TO THE HOSPITAL; FOR TREATMENT WENT FOR A LEGAL ACTION FROM LC WENT TO GOVERNMENT HEALTH UNIT WHAT TO THE HOSPITAL FOR TREATMENT WORK AS A CASUAL LABOURER IN PEOPLE'S FARM hh10 q7:how did your household attempt to cope with this problem - other 2? hh10 q7:how did your household attempt to cope with this problem - other 2? hh10 q7:how did your household attempt to cope with this problem - other 2? hh10 q7:how did your household attempt to cope with this problem - other 2? hh10 q7:how did your household attempt to cope with this problem - other 2? 10 FREE GOVERNMENT MEDICATION GARDEN TO WORK FOR MONEY TO BUY HOUSEHOLD NEEDS I RENTED A PLOT OF LAND TO CULTIVATE ON I WENT TO GOVERNMENT HOSPITAL FOR TREATMENT SELLING OF BEANS,SIMSIM SELLING OF HOME PRODUCTS(CROPS) SICKNESS I WENT TOP THE HOSPAL FOR TREATMENT SOLD AGRICULTURAL PRODUCTS SOLD LIVESTOCK TOOK THE SICK BABY TO GOVT HOSPITAL hh11 q1: is anyone form this household currently a member of a village savings a hh11 q1: is anyone form this household currently a member of a village savings a hh11 q1: is anyone form this household currently a member of a village savings a hh11 q1: is anyone form this household currently a member of a village savings a hh11 q1: is anyone form this household currently a member of a village savings a 3975 1 yes 2 no 98 don't know/no response hh11_q2:is the village savings and loans associaltion(vsla) run by care internat hh11_q2:is the village savings and loans associaltion(vsla) run by care internat hh11_q2:is the village savings and loans associaltion(vsla) run by care internat hh11_q2:is the village savings and loans associaltion(vsla) run by care internat hh11_q2:is the village savings and loans associaltion(vsla) run by care internat 1092 2883 1 yes 2 no 98 don't know/no response Sysmiss hh11_q3:do you or anybody in this household currently have any cash savings? hh11_q3:do you or anybody in this household currently have any cash savings? hh11_q3:do you or anybody in this household currently have any cash savings? hh11_q3:do you or anybody in this household currently have any cash savings? hh11_q3:do you or anybody in this household currently have any cash savings? 3975 1 yes 2 no 98 don't know/no response hh11 q4a: where do you/person in your household keep their cash savings? hh11 q4a: where do you/person in your household keep their cash savings? hh11 q4a: where do you/person in your household keep their cash savings? hh11 q4a: where do you/person in your household keep their cash savings? hh11 q4a: where do you/person in your household keep their cash savings? 1308 2667 1 at home 2 vsla (village saving s and loan assosiations) 3 rosca and other informal savings scheme 4 ngo / mfi 5 cooperative/sacco 6 bank / formal institution 7 with a trader / shop 97 other 98 don't know/no response Sysmiss hh11 q4b: where do you/person in your household keep their cash savings? hh11 q4b: where do you/person in your household keep their cash savings? hh11 q4b: where do you/person in your household keep their cash savings? hh11 q4b: where do you/person in your household keep their cash savings? hh11 q4b: where do you/person in your household keep their cash savings? 239 3736 1 at home 2 vsla (village saving s and loan assosiations) 3 rosca and other informal savings scheme 4 ngo / mfi 5 cooperative/sacco 6 bank / formal institution 7 with a trader / shop 97 other 98 don't know/no response Sysmiss hh11 q4c: where do you/person in your household keep their cash savings? hh11 q4c: where do you/person in your household keep their cash savings? hh11 q4c: where do you/person in your household keep their cash savings? hh11 q4c: where do you/person in your household keep their cash savings? hh11 q4c: where do you/person in your household keep their cash savings? 22 3953 1 at home 2 vsla (village saving s and loan assosiations) 3 rosca and other informal savings scheme 4 ngo / mfi 5 cooperative/sacco 6 bank / formal institution 7 with a trader / shop 97 other 98 don't know/no response Sysmiss hh11 q4c: where do you/person in your household keep their cash savings - other hh11 q4c: where do you/person in your household keep their cash savings - other hh11 q4c: where do you/person in your household keep their cash savings - other hh11 q4c: where do you/person in your household keep their cash savings - other hh11 q4c: where do you/person in your household keep their cash savings - other 13 ABEK CEDA CEDE CHURCH CHURCH GROUP CLAN FRIENDS HEALTH CENTRE GROUP MOBILE MONEY NAADS RELIGIOUS SAVINGS GROUP TEA SCHEME UWESO GROUP hh11 q5 how much in total is currently held in savings by all members of your h hh11 q5 how much in total is currently held in savings by all members of your h hh11 q5 how much in total is currently held in savings by all members of your h hh11 q5 how much in total is currently held in savings by all members of your h hh11 q5 how much in total is currently held in savings by all members of your h 1308 2667 98 don't know 200 300 500 1000 1500 2000 2200 2500 3000 4000 5000 6000 6500 6600 7000 7500 8000 8800 9000 9500 9900 10000 11000 12000 12300 13000 15000 15400 16000 16500 17000 18000 20000 21000 22000 22800 23000 24000 25000 27000 30000 31850 32000 33000 34000 35000 35200 36000 38000 39000 40000 42000 44000 45000 47000 48000 50000 52000 53000 54000 55000 56000 60000 63000 64000 66000 68000 70000 72000 75000 76000 80000 84000 85000 86000 87000 88000 89000 90000 94000 100000 105000 108000 110000 112000 120000 126000 127000 130000 137000 138000 140000 145000 150000 155000 156000 160000 170000 180000 195000 200000 205000 210000 216000 220000 225000 230000 235000 240000 250000 252000 260000 267000 268000 270000 277000 280000 300000 310000 319000 320000 340000 349000 350000 400000 430000 436000 444000 448000 450000 500000 600000 630000 650000 700000 720000 770000 800000 900000 910000 1000000 1030000 1250000 1300000 1500000 1700000 1800000 2000000 2200000 3000000 3800000 4000000 5000000 5500000 6000000 6500000 10000000 15000000 30000000 62000000 Sysmiss hh11 q6:has anybody in your household borrowed any money in the last 12 months? hh11 q6:has anybody in your household borrowed any money in the last 12 months? hh11 q6:has anybody in your household borrowed any money in the last 12 months? hh11 q6:has anybody in your household borrowed any money in the last 12 months? hh11 q6:has anybody in your household borrowed any money in the last 12 months? 3975 1 yes 2 no 98 don't know/no response hh11 q7:if not why not? hh11 q7:if not why not? hh11 q7:if not why not? hh11 q7:if not why not? hh11 q7:if not why not? 2055 1920 1 no one would lend: no one has money 2 no one would lend: not credit worthy 3 prefer not to owe money 4 don’t need it 97 other 98 don't know/no response Sysmiss hh11 q6:if not why not - other? hh11 q6:if not why not - other? hh11 q6:if not why not - other? hh11 q6:if not why not - other? hh11 q6:if not why not - other? 48 ALREADY HAS LOAN CAN'T PAY BACK CANT AFFORD TO PAY DIFFICULT TO PAY DO ODD JOBS FOR MONEY DOESN'T KNOW THE PROCESS DONT HAVE ANYONE I CAN TALK TO ALOT MO FEAR BAD LOAN RECOVERS FEAR DEPTS FEARING AND ASSOCIATED BURDENS FEARING DISTURBANCE FROM CALENDER FEARS TO BE ARRESTED GOT CAPITAL FOR THE HOUSEHOLD BUSINESS HARD TO PAY HELP FROM THE CHILDREN HIGH INTEREST RATE HIGH INTREST RATE I DON`T HAVE WAYS TO PAY BACK JERUSAND CONDITION JUST STARTED LABOUR FOR PAYMENT NO ABLE TO PAY BACK NO MEANS TO PAY BACK NO MONEY TO PAY BACK NO ONE IS WILLING TO LEND ME MONEY NO SECURITY NO WAY TO PAY BACK NO WAYS OF PAYING IT BACK NO WAYS OF REPAYMENT NOT ABLE TO PAY NOT ABLE TO PAY BACK NOTHING TO PAY BACK WITH NOTHING TO PAY IT BACK SELL CROPS TO BUY WHAT I NEED SHE FEARS TROUBLE THAT COMES WHEN SHE TERMS AND CONDITIONS TERMS AND CONDITONS WERE HARSH TERMS CONDITION THAT AM OLD I CANT PAY THE GROUP HAS JUST BEGUN THERE IS NO MONEY THEY WILL NOT GIVE ME TO PAY NO MONEY UNABLE TO PAY BACK hh11 q8:how many times? hh11 q8:how many times? hh11 q8:how many times? hh11 q8:how many times? hh11 q8:how many times? 1885 2090 1 2 3 4 5 6 7 8 9 10 11 12 15 20 30 97 98 don't know/no response Sysmiss hh11 q9:how much money did you borrow in total in the last 12 months?- ugx hh11 q9:how much money did you borrow in total in the last 12 months?- ugx hh11 q9:how much money did you borrow in total in the last 12 months?- ugx hh11 q9:how much money did you borrow in total in the last 12 months?- ugx hh11 q9:how much money did you borrow in total in the last 12 months?- ugx 1885 2090 98 9999999999 154160417.117 1231062150.277 hh11 q10:how much do you currently owe in total to all sources of borrowing? - u hh11 q10:how much do you currently owe in total to all sources of borrowing? - u hh11 q10:how much do you currently owe in total to all sources of borrowing? - u hh11 q10:how much do you currently owe in total to all sources of borrowing? - u hh11 q10:how much do you currently owe in total to all sources of borrowing? - u 1885 2090 98 9999999999 2090392236.712 4067050435.904 hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh 1885 2090 1 private (family/friend) 2 trader 3 money lender 4 bank 5 ngo / mfi 6 religious group 7 rosca 8 vsla (village savings and loan association) 9 sacco 97 other 98 don't know/no response Sysmiss hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh 38 AFTER EVERY ONE YEAR BECHI GEN GROUP BUILDING RURAL AFRICAN COMMUNITIES-BRAC CHAIRMAN CHAN PWONYI GROUP CHURCH CLAN COMMITEE FAMILY SAVINGS FARMING GROUP FROM THE CHURCH FROM VILLAGE ASSOCIATION GROUP SAVINGS INFORMAL LOAN SCHEME INFORMAL SAVING INFORMAL SAVING AKIBA INFORMAL SAVING GROUP AKIBA INFORMAL SAVING SCHEME INFORMAL SAVINGS SCHEME KOKA MOBILE MONEY OTHER INFORMAL SAVING SCHEME OTHER INFORMAL SAVINGS OTHER SAVINGS SCHEME SKIBA SSD TIMBER GROUP UWESO UWESO GROUP VILLAGE BANK IN PAKWACH VILLAGE GROUP VILLAGE SAVINGS WOMEN ASSOCIATION YOUTH CONER hh11 q12a:what where the main reasons for this last loan? - first hh11 q12a:what where the main reasons for this last loan? - first hh11 q12a:what where the main reasons for this last loan? - first hh11 q12a:what where the main reasons for this last loan? - first hh11 q12a:what where the main reasons for this last loan? - first 1885 2090 1 basic food needs 2 basic supplies (batteries, gas, etc) 3 livestock 4 livestock production (incl. trade in livestock) 5 agricultural production (incl. trade in agricultural production) 6 household asset 7 cell phone airtime 8 business (not livestock or agriculture) 9 education expenses 10 health expenses 11 repay debt 97 other 98 don't know/no response Sysmiss hh11 q12b:what where the main reasons for this last loan? - second hh11 q12b:what where the main reasons for this last loan? - second hh11 q12b:what where the main reasons for this last loan? - second hh11 q12b:what where the main reasons for this last loan? - second hh11 q12b:what where the main reasons for this last loan? - second 636 3339 1 basic food needs 2 basic supplies (batteries, gas, etc) 3 livestock 4 livestock production (incl. trade in livestock) 5 agricultural production (incl. trade in agricultural production) 6 household asset 7 cell phone airtime 8 business (not livestock or agriculture) 9 education expenses 10 health expenses 11 repay debt 97 other 98 don't know/no response Sysmiss hh11 q12c:what where the main reasons for this last loan? - third hh11 q12c:what where the main reasons for this last loan? - third hh11 q12c:what where the main reasons for this last loan? - third hh11 q12c:what where the main reasons for this last loan? - third hh11 q12c:what where the main reasons for this last loan? - third 151 3824 1 basic food needs 2 basic supplies (batteries, gas, etc) 3 livestock 4 livestock production (incl. trade in livestock) 5 agricultural production (incl. trade in agricultural production) 6 household asset 7 cell phone airtime 8 business (not livestock or agriculture) 9 education expenses 10 health expenses 11 repay debt 97 other 98 don't know/no response Sysmiss hh11 q13:in an emergency situation would you be able to borrow a large amount of hh11 q13:in an emergency situation would you be able to borrow a large amount of hh11 q13:in an emergency situation would you be able to borrow a large amount of hh11 q13:in an emergency situation would you be able to borrow a large amount of hh11 q13:in an emergency situation would you be able to borrow a large amount of 3975 1 yes 2 no 98 dk/n/a hh11 q14:have you or any member of your household bought anything on credit in t hh11 q14:have you or any member of your household bought anything on credit in t hh11 q14:have you or any member of your household bought anything on credit in t hh11 q14:have you or any member of your household bought anything on credit in t hh11 q14:have you or any member of your household bought anything on credit in t 3975 1 yes 2 no 98 dk/n/a hh11 q15: if not why not? hh11 q15: if not why not? hh11 q15: if not why not? hh11 q15: if not why not? hh11 q15: if not why not? 2388 1587 1 2 3 4 97 others 98 dk/n/a Sysmiss hh11 q15: if not why not - other ? hh11 q15: if not why not - other ? hh11 q15: if not why not - other ? hh11 q15: if not why not - other ? hh11 q15: if not why not - other ? 44 BRINGS PROBLEMS CAN ALWAYS AFORD WHAT IS NEEDED CAN NOT AFORD TO PAY BACCK CANNOT PAY IT BACK CANT AFFORD TO PAY DIFFICULT TO PAY GOT FROM HOME BUSINESS HAD WHAT TO EAT HARD TO PAY HAS MONEY FOR BUYING THINGS HAVE OWN MONEY I HAVE A SHOP IT IS HARD TO PAY BACK MY HUSBAND BUYS, I DON'T KNOW NO ONE ACCEPTS TO GIVE CREDIT NO ONE ALOWS TO GIVE ON CREDIT NO ONE CAN GIVE NO ONE CAN GIVE CREDIT NO ONE CAN LEND NO ONE GIVES ON CREDIT NO WAY TO REPAY IT NO WAYS OF PAYING IT BACK NO WAYS OF REPAYMENT NON IS WILLING TO GIVE CREDIT NONE CAN GIVE CREDIT NOTHING TO PAY BACK OWNER DO NOT ACCEPT OWNER DOES NOT ACCEPT OWNERS DONT ALLOW TO TAKE GOODS ON CREDIT OWNERS DON`T ACCEPT PEOPLE DONT ALLOW GIVING THINGS TO OLD PEOPLE ON CREDIT PEOPLE DONT GIVE CREDIT PEOPLE DONT GIVE MONEY FOR CREDIT PEOPLE DONT PREFFER GIVING ITEMS ON CREDIT PEOPLE NO LONGER WANT TO SELL IN CREDIT PEOPLE NOT WILLING TO GIVE CREADIT PPLE DONT GIVE CREDIT RELATIVE GIVE MONEY RESPONDENT IS OLD AND THEREFORE NO ONE CAN GIVE HIM ON CREDIT SHOPS ARE FAR THERE IS ENOUGH MONEY THERE IS NO ONE I CAN BORROW FROM TRADERS DONT ALLOW CREDIT VERY DIFFICULT FOR PEOPLE TO LEND YOU MONEY hh11 q16:how many times? hh11 q16:how many times? hh11 q16:how many times? hh11 q16:how many times? hh11 q16:how many times? 1575 2400 1 2 3 4 5 6 7 8 9 10 11 12 13 15 18 20 24 30 50 98 dk/can't remember Sysmiss hh11 q17: how much has your household purchased on credit in the last 3 months w hh11 q17: how much has your household purchased on credit in the last 3 months w hh11 q17: how much has your household purchased on credit in the last 3 months w hh11 q17: how much has your household purchased on credit in the last 3 months w hh11 q17: how much has your household purchased on credit in the last 3 months w 1575 2400 9999999999 165104964.364 1274584435.61 hh11 q18a:the last time you bought something on credit what did you buy - first? hh11 q18a:the last time you bought something on credit what did you buy - first? hh11 q18a:the last time you bought something on credit what did you buy - first? hh11 q18a:the last time you bought something on credit what did you buy - first? hh11 q18a:the last time you bought something on credit what did you buy - first? 1575 2400 1 basic food needs 2 basic supplies (batteries, paraffin, etc) 3 livestock 4 livestock production 5 agricultural production 6 household asset 7 cell phone airtime 8 business (not livestock or agriculture) 9 education expenses 10 health expenses 97 other 98 dk/can't remember Sysmiss hh11 q18b:the last time you bought something on credit what did you buy - second hh11 q18b:the last time you bought something on credit what did you buy - second hh11 q18b:the last time you bought something on credit what did you buy - second hh11 q18b:the last time you bought something on credit what did you buy - second hh11 q18b:the last time you bought something on credit what did you buy - second 738 3237 1 basic food needs 2 basic supplies (batteries, paraffin, etc) 3 livestock 4 livestock production 5 agricultural production 6 household asset 7 cell phone airtime 8 business (not livestock or agriculture) 9 education expenses 10 health expenses 97 other 98 dk/can't remember Sysmiss hh11 q18c:the last time you bought something on credit what did you buy - third? hh11 q18c:the last time you bought something on credit what did you buy - third? hh11 q18c:the last time you bought something on credit what did you buy - third? hh11 q18c:the last time you bought something on credit what did you buy - third? hh11 q18c:the last time you bought something on credit what did you buy - third? 89 3886 1 basic food needs 2 basic supplies (batteries, paraffin, etc) 3 livestock 4 livestock production 5 agricultural production 6 household asset 7 cell phone airtime 8 business (not livestock or agriculture) 9 education expenses 10 health expenses 97 other 98 dk/can't remember Sysmiss hh11 q19: how much do you currently owe (amount outstanding)? - ugx hh11 q19: how much do you currently owe (amount outstanding)? - ugx hh11 q19: how much do you currently owe (amount outstanding)? - ugx hh11 q19: how much do you currently owe (amount outstanding)? - ugx hh11 q19: how much do you currently owe (amount outstanding)? - ugx 1575 2400 9999999999 330171360.665 1787345096.544 hh12 q1a: if the household has received any cash help from any other households hh12 q1a: if the household has received any cash help from any other households hh12 q1a: if the household has received any cash help from any other households hh12 q1a: if the household has received any cash help from any other households hh12 q1a: if the household has received any cash help from any other households 3975 1 yes 2 no 97 others 98 dk/na hh12 q1b:total value received for any cash help from any other households as a g hh12 q1b:total value received for any cash help from any other households as a g hh12 q1b:total value received for any cash help from any other households as a g hh12 q1b:total value received for any cash help from any other households as a g hh12 q1b:total value received for any cash help from any other households as a g 874 3101 100 9999999999 22930325.513 478088601.047 hh12 q2a: if the household has received any food (or any other kind of non-cash hh12 q2a: if the household has received any food (or any other kind of non-cash hh12 q2a: if the household has received any food (or any other kind of non-cash hh12 q2a: if the household has received any food (or any other kind of non-cash hh12 q2a: if the household has received any food (or any other kind of non-cash 3975 1 yes 2 no 98 dk/na hh12 q2b:total value received for any food (or any other kind of non-cash assist hh12 q2b:total value received for any food (or any other kind of non-cash assist hh12 q2b:total value received for any food (or any other kind of non-cash assist hh12 q2b:total value received for any food (or any other kind of non-cash assist hh12 q2b:total value received for any food (or any other kind of non-cash assist 1449 2526 300 800000 26034.748 52501.311 hh12 q3a: if the household has received any cash aid from government agencies as hh12 q3a: if the household has received any cash aid from government agencies as hh12 q3a: if the household has received any cash aid from government agencies as hh12 q3a: if the household has received any cash aid from government agencies as hh12 q3a: if the household has received any cash aid from government agencies as 3975 1 yes 2 no 98 dk/na hh12 q3b:total value received for any cash aid from government agencies as a gif hh12 q3b:total value received for any cash aid from government agencies as a gif hh12 q3b:total value received for any cash aid from government agencies as a gif hh12 q3b:total value received for any cash aid from government agencies as a gif hh12 q3b:total value received for any cash aid from government agencies as a gif 29 3946 2000 9999999999 344961172.379 1856927701.297 hh12 q4a: if the household has received any food (or any other kind of non-cash hh12 q4a: if the household has received any food (or any other kind of non-cash hh12 q4a: if the household has received any food (or any other kind of non-cash hh12 q4a: if the household has received any food (or any other kind of non-cash hh12 q4a: if the household has received any food (or any other kind of non-cash 3975 1 yes 2 no 98 dk/na hh12 q4b:total value received for any food (or any other kind of non-cash assis hh12 q4b:total value received for any food (or any other kind of non-cash assis hh12 q4b:total value received for any food (or any other kind of non-cash assis hh12 q4b:total value received for any food (or any other kind of non-cash assis hh12 q4b:total value received for any food (or any other kind of non-cash assis 67 3908 2000 9999999999 149321070.134 1221686097.361 hh12 q5a: if the household has received any cash aid from ngos or religious orga hh12 q5a: if the household has received any cash aid from ngos or religious orga hh12 q5a: if the household has received any cash aid from ngos or religious orga hh12 q5a: if the household has received any cash aid from ngos or religious orga hh12 q5a: if the household has received any cash aid from ngos or religious orga 3975 1 yes 2 no 98 dk/na hh12 q5b:total value received for any cash aid from ngos or religious organizati hh12 q5b:total value received for any cash aid from ngos or religious organizati hh12 q5b:total value received for any cash aid from ngos or religious organizati hh12 q5b:total value received for any cash aid from ngos or religious organizati hh12 q5b:total value received for any cash aid from ngos or religious organizati 44 3931 1500 9999999999 227309011.341 1507551126.279 hh12 q6a: if the household has received any food (or any other kind of non-cash hh12 q6a: if the household has received any food (or any other kind of non-cash hh12 q6a: if the household has received any food (or any other kind of non-cash hh12 q6a: if the household has received any food (or any other kind of non-cash hh12 q6a: if the household has received any food (or any other kind of non-cash 3975 1 yes 2 no 98 dk/na hh12 q6b: total value received for any food (or any other kind of non-cash assi hh12 q6b: total value received for any food (or any other kind of non-cash assi hh12 q6b: total value received for any food (or any other kind of non-cash assi hh12 q6b: total value received for any food (or any other kind of non-cash assi hh12 q6b: total value received for any food (or any other kind of non-cash assi 277 3698 1000 9999999999 36139196.386 600839471.491 h12 q7a: in the past 3 months has your household given any cash help to any othe h12 q7a: in the past 3 months has your household given any cash help to any othe h12 q7a: in the past 3 months has your household given any cash help to any othe h12 q7a: in the past 3 months has your household given any cash help to any othe h12 q7a: in the past 3 months has your household given any cash help to any othe 3975 1 yes 2 no 98 dk/na h12 q7b: what was the total value of this transfer in the last 3 months? h12 q7b: what was the total value of this transfer in the last 3 months? h12 q7b: what was the total value of this transfer in the last 3 months? h12 q7b: what was the total value of this transfer in the last 3 months? h12 q7b: what was the total value of this transfer in the last 3 months? 574 3401 300 9999999999 34879975.955 589763861.362 hh12 q8a:in the past 3 months has your household given any food (or any other ki hh12 q8a:in the past 3 months has your household given any food (or any other ki hh12 q8a:in the past 3 months has your household given any food (or any other ki hh12 q8a:in the past 3 months has your household given any food (or any other ki hh12 q8a:in the past 3 months has your household given any food (or any other ki 3975 1 yes 2 no 98 dk/na hh12 q8b:what was the total value of this transfer in the last 3 months? hh12 q8b:what was the total value of this transfer in the last 3 months? hh12 q8b:what was the total value of this transfer in the last 3 months? hh12 q8b:what was the total value of this transfer in the last 3 months? hh12 q8b:what was the total value of this transfer in the last 3 months? 1248 2727 200 9999999999 40086692.905 631944687.46 hh13 q1:in the past 30 days, was there ever no food to eat of any kind in your h hh13 q1:in the past 30 days, was there ever no food to eat of any kind in your h hh13 q1:in the past 30 days, was there ever no food to eat of any kind in your h hh13 q1:in the past 30 days, was there ever no food to eat of any kind in your h hh13 q1:in the past 30 days, was there ever no food to eat of any kind in your h 3975 1 yes 2 no 98 hh13 q2: how often did this happen in the past 30 days ? hh13 q2: how often did this happen in the past 30 days ? hh13 q2: how often did this happen in the past 30 days ? hh13 q2: how often did this happen in the past 30 days ? hh13 q2: how often did this happen in the past 30 days ? 2119 1856 1 rarely (1 – 2 days) 2 sometimes (3 – 10 days) 3 often (more than 10 days) 98 Sysmiss hh13 q3:in the past 30 days, did you or any household member go to sleep at nigh hh13 q3:in the past 30 days, did you or any household member go to sleep at nigh hh13 q3:in the past 30 days, did you or any household member go to sleep at nigh hh13 q3:in the past 30 days, did you or any household member go to sleep at nigh hh13 q3:in the past 30 days, did you or any household member go to sleep at nigh 3975 1 yes 2 no 98 dk/na hh13 q4: how often did this happen in the past 30 days? hh13 q4: how often did this happen in the past 30 days? hh13 q4: how often did this happen in the past 30 days? hh13 q4: how often did this happen in the past 30 days? hh13 q4: how often did this happen in the past 30 days? 2116 1859 1 rarely (1 – 2 days) 2 sometimes (3 – 10 days) 3 often (more than 10 days) 98 dk/na Sysmiss hh13 q5:in the past 30 days, did you or any household member go a whole day and hh13 q5:in the past 30 days, did you or any household member go a whole day and hh13 q5:in the past 30 days, did you or any household member go a whole day and hh13 q5:in the past 30 days, did you or any household member go a whole day and hh13 q5:in the past 30 days, did you or any household member go a whole day and 3975 1 yes 2 no 98 dk/na hh13 q6:how often did this happen in the past 30 days? hh13 q6:how often did this happen in the past 30 days? hh13 q6:how often did this happen in the past 30 days? hh13 q6:how often did this happen in the past 30 days? hh13 q6:how often did this happen in the past 30 days? 1093 2882 1 rarely (1 – 2 days) 2 sometimes (3 – 10 days) 3 often (more than 10 days) 98 dk/na Sysmiss household members - male adults household members - male adults household members - male adults household members - male adults household members - male adults 3975 1 2 3 4 5 6 7 8 11 household members - female adults household members - female adults household members - female adults household members - female adults household members - female adults 3975 1 2 3 4 5 6 7 10 household members - male children household members - male children household members - male children household members - male children household members - male children 3975 1 2 3 4 5 6 7 8 9 11 household members - female children household members - female children household members - female children household members - female children household members - female children 3975 1 2 3 4 5 6 7 8 9 visitors - male adults visitors - male adults visitors - male adults visitors - male adults visitors - male adults 3975 1 2 3 4 5 6 7 8 10 visitors - female adults visitors - female adults visitors - female adults visitors - female adults visitors - female adults 3975 1 2 3 4 5 6 7 9 13 visitors - male children visitors - male children visitors - male children visitors - male children visitors - male children 3975 1 2 3 4 5 6 7 15 visitors - female children visitors - female children visitors - female children visitors - female children visitors - female children 3975 22 0.18 0.752 hh15 q1 were you aware of an exercise carried out in this village where all peop hh15 q1 were you aware of an exercise carried out in this village where all peop hh15 q1 were you aware of an exercise carried out in this village where all peop hh15 q1 were you aware of an exercise carried out in this village where all peop hh15 q1 were you aware of an exercise carried out in this village where all peop 3975 1 yes 2 no 98 dk/na hh15 q2 were all members of this household registered during that exercise? hh15 q2 were all members of this household registered during that exercise? hh15 q2 were all members of this household registered during that exercise? hh15 q2 were all members of this household registered during that exercise? hh15 q2 were all members of this household registered during that exercise? 3246 729 1 yes 2 no, no household members were registered 3 no, some household members were not registered 4 don’t know 98 Sysmiss hh15 q3 why weren’t all members of this household registered? hh15 q3 why weren’t all members of this household registered? hh15 q3 why weren’t all members of this household registered? hh15 q3 why weren’t all members of this household registered? hh15 q3 why weren’t all members of this household registered? 181 3794 1 some members of the household were not present at the time of the births registration 2 all members of the household were not present at the time of registration 3 some households member refused to be registered 4 all household refused to be registered 5 births registration people did not come to this household 6 some members were not member of the household when registration happened 97 other 98 dk/can't remember Sysmiss hh15 q3 why weren’t all members of this household registered - other? hh15 q3 why weren’t all members of this household registered - other? hh15 q3 why weren’t all members of this household registered - other? hh15 q3 why weren’t all members of this household registered - other? hh15 q3 why weren’t all members of this household registered - other? 17 AM ALONE BIRTH REGISTRATION PEOPLE WERE REGISTERING CHILDREN 5YRS BEL CHOOSE ONLY YOUNG CHILD DO NOT KNOW I DO NOT KNOW NOT BONE NOT YET BORN NOT YET BOUGHT ONLY CHILDREN WERE REGISTERED SOME OF MY CHOLDREN WERE AT SCHOOL (BOARDING) THE REGISTRATION REQUIRED A SPECIFIC AGE THEY SAID FORMS WERE FINISHED WANTED ONLY CHILDREN WHO WERE ABOVE 5 YEARS OLD WE HAD A LOT OF PROBLEMS AND COULD NOT REMEMBER REGISTRATION hh15 q4:when was this household registered? hh15 q4:when was this household registered? hh15 q4:when was this household registered? hh15 q4:when was this household registered? hh15 q4:when was this household registered? 3039 936 12008 989998 396614.625 450482.17 hh15 q5:have any members of this household received a birth certificate? hh15 q5:have any members of this household received a birth certificate? hh15 q5:have any members of this household received a birth certificate? hh15 q5:have any members of this household received a birth certificate? hh15 q5:have any members of this household received a birth certificate? 3228 747 1 yes, all 2 yes, some 3 no 98 dk/can't remember Sysmiss hh15 q6 :overall, how would you describe your treatment by the people conducting hh15 q6 :overall, how would you describe your treatment by the people conducting hh15 q6 :overall, how would you describe your treatment by the people conducting hh15 q6 :overall, how would you describe your treatment by the people conducting hh15 q6 :overall, how would you describe your treatment by the people conducting 3246 729 1 good 2 satisfactory 3 not good 98 dk/can't remember Sysmiss hh15 q7:are you aware of a government programme operating in this area called th hh15 q7:are you aware of a government programme operating in this area called th hh15 q7:are you aware of a government programme operating in this area called th hh15 q7:are you aware of a government programme operating in this area called th hh15 q7:are you aware of a government programme operating in this area called th 3975 1 yes 2 no 98 dk/can't remember hh15 q8:what was the main way you were informed about the programme? hh15 q8:what was the main way you were informed about the programme? hh15 q8:what was the main way you were informed about the programme? hh15 q8:what was the main way you were informed about the programme? hh15 q8:what was the main way you were informed about the programme? 2758 1217 1 people from sage came to this village to inform us about it 2 public meeting in this village 3 public meeting outside of this village 4 village chairperson (lc1) told us individually 5 elders 6 word of mouth 7 births registration notifier 8 radio 97 other 98 dk/can't remember Sysmiss hh15 q8:what was the main way you were informed about the programme - other? hh15 q8:what was the main way you were informed about the programme - other? hh15 q8:what was the main way you were informed about the programme - other? hh15 q8:what was the main way you were informed about the programme - other? hh15 q8:what was the main way you were informed about the programme - other? 49 ANNOUNCED FROM CHURCH ANOTHER VILLAGE ANOTHER VILLAGE OPERI AT A BURIAL PLACE AT BURIAL PLACE AT SCHOOL AT THE DISTRICT BENEFICIARY OF SAGE CDO'S OFFICE CHURCH COMMUNITY BASED OFFIC COUNCILLOR FROM BENEFICIARY OF S GOMBOLALA COUNCILOR IN CHURCH LC 3 CHAIRMAN LC5 OF APAC TO ME ABO LOCAL CHIEF 3 MAYOR OF ANDUKU TOWN MEETING AT THE TOWN C MEGA PHONE MEGAPHONE PARISH CHIEF PEOPLE PEOPLE IN THE VILLAGE PEOPLE IN VILLAGES REFUSED TO ANSWER SAGE TRAINING SUB COUNTY SUB COUNTY CHIEF SUBCOUNTY SUBCOUNTY /GOMBOLALA TOWN COUNCIL VICE CHAIRPERSON hh15 q9:were the program's objectives explained to you? hh15 q9:were the program's objectives explained to you? hh15 q9:were the program's objectives explained to you? hh15 q9:were the program's objectives explained to you? hh15 q9:were the program's objectives explained to you? 2758 1217 1 yes 2 no 98 dk/can't remember Sysmiss hh15 q10:do you know how households will be selected to be beneficiaries by the hh15 q10:do you know how households will be selected to be beneficiaries by the hh15 q10:do you know how households will be selected to be beneficiaries by the hh15 q10:do you know how households will be selected to be beneficiaries by the hh15 q10:do you know how households will be selected to be beneficiaries by the 2758 1217 1 yes 2 no 98 dk/can't remember Sysmiss hh15 q11:how? hh15 q11:how? hh15 q11:how? hh15 q11:how? hh15 q11:how? 1124 2851 1 appropriate answer 2 inappropriate answer 98 Sysmiss hh15 q12: do you feel that these selection criteria are fair? hh15 q12: do you feel that these selection criteria are fair? hh15 q12: do you feel that these selection criteria are fair? hh15 q12: do you feel that these selection criteria are fair? hh15 q12: do you feel that these selection criteria are fair? 1124 2851 1 yes 2 no 3 don’t know Sysmiss hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? 87 3888 1 doesn’t target the poorest people 2 some needy households are missed 3 wealthier households also get money 4 too few households are enrolled 5 the community should select the beneficiaries 6 we don’t understand the eligibility criteria 97 other 98 dk/can't remember Sysmiss hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? 51 3924 1 doesn’t target the poorest people 2 some needy households are missed 3 wealthier households also get money 4 too few households are enrolled 5 the community should select the beneficiaries 6 we don’t understand the eligibility criteria 97 other 98 dk/can't remember Sysmiss hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? 32 3943 1 doesn’t target the poorest people 2 some needy households are missed 3 wealthier households also get money 4 too few households are enrolled 5 the community should select the beneficiaries 6 we don’t understand the eligibility criteria 97 other 98 dk/can't remember Sysmiss hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? 10 3965 1 doesn’t target the poorest people 2 some needy households are missed 3 wealthier households also get money 4 too few households are enrolled 5 the community should select the beneficiaries 6 we don’t understand the eligibility criteria 97 other 98 dk/can't remember Sysmiss hh15 q13:why not - other? hh15 q13:why not - other? hh15 q13:why not - other? hh15 q13:why not - other? hh15 q13:why not - other? 1 T hh15 q14 :do you know what the value of the transfer is? hh15 q14 :do you know what the value of the transfer is? hh15 q14 :do you know what the value of the transfer is? hh15 q14 :do you know what the value of the transfer is? hh15 q14 :do you know what the value of the transfer is? 2758 1217 1 ugx 23,000 2 other amount 3 don’t know 98 dk/can't remember Sysmiss hh15 q15:how often is the transfer paid? hh15 q15:how often is the transfer paid? hh15 q15:how often is the transfer paid? hh15 q15:how often is the transfer paid? hh15 q15:how often is the transfer paid? 2758 1217 1 once a month 2 other payment period 3 don’t know Sysmiss hh15 q16:do you know how the payment is made? hh15 q16:do you know how the payment is made? hh15 q16:do you know how the payment is made? hh15 q16:do you know how the payment is made? hh15 q16:do you know how the payment is made? 2758 1217 1 payment transferred onto mtn card which can then be converted to cash 2 other answer 3 don’t know Sysmiss hh15 q17:did your household spend any money during any part of the births regist hh15 q17:did your household spend any money during any part of the births regist hh15 q17:did your household spend any money during any part of the births regist hh15 q17:did your household spend any money during any part of the births regist hh15 q17:did your household spend any money during any part of the births regist 2758 1217 1 yes 2 no 98 dk/can't remember Sysmiss hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin 78 3897 10000 1070.513 2449.124 hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin 83 3892 16000 662.651 2307.343 hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin 83 3892 40000 1018.072 4536.065 hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin 7 FOR THE WELFARE OF THE CHURCH L.C/MEN I REGISTRATION OF ELDERS REGISTRATION OF ELDERS (BENEFICIARIES) TAKING PHOTOGRAPHS hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin 9 3966 5000 1333.333 1581.139 hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 83 3892 35 1.06 3.98 hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 83 3892 1 3 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 81 3894 1 2 3 4 5 8 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 83 3892 1 2 3 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 82 3893 1 2 4 5 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 83 3892 1 2 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 83 3892 1 5 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 83 3892 1 2 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 5 3970 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 2 3973 1 Sysmiss hh15 q20:were your household selected to be a beneficiary of sage? hh15 q20:were your household selected to be a beneficiary of sage? hh15 q20:were your household selected to be a beneficiary of sage? hh15 q20:were your household selected to be a beneficiary of sage? hh15 q20:were your household selected to be a beneficiary of sage? 2758 1217 1 yes 2 no 3 don’t know Sysmiss hh15 q21:has your household received a mtn card from sage programme? hh15 q21:has your household received a mtn card from sage programme? hh15 q21:has your household received a mtn card from sage programme? hh15 q21:has your household received a mtn card from sage programme? hh15 q21:has your household received a mtn card from sage programme? 605 3370 1 yes 2 no Sysmiss hh15 q22:have you attended a demonstration of how the payment is made? hh15 q22:have you attended a demonstration of how the payment is made? hh15 q22:have you attended a demonstration of how the payment is made? hh15 q22:have you attended a demonstration of how the payment is made? hh15 q22:have you attended a demonstration of how the payment is made? 605 3370 1 yes 2 no Sysmiss hh15 q23:where did the demonstration take place? hh15 q23:where did the demonstration take place? hh15 q23:where did the demonstration take place? hh15 q23:where did the demonstration take place? hh15 q23:where did the demonstration take place? 62 3913 1 in this village 2 in another village in this parish 3 in another village in another parish 4 at the sub-county centre 5 further away 98 Sysmiss hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme 2758 1217 1 village chairperson (lc1) 2 parish chief 3 sub-county chief 4 sage staff member 5 sage head office 6 births registration notifier 97 other 98 dk/can't remember Sysmiss hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme 103 AREA COUNCELLOR CDO CDO'S OFFICE COMMUNITY DEVELOPMENT OFFICER COUNCELLOR COUNCELLOR AT DISTRICT COUNCELOR COUNCILLOR COUNCILOR DISTRICT DEVELOPMENT OFFICE DISTRICT OFFICER DK DNT KNOW DO NOT KNOW DOESN'T NOT MIND DOES`NT KNOW WHO TO CONSULT DON'T KNOW DONT KNOW DONT KNOW ANYBODY DON`T KNOW ELDER ELDERLY CHIEF ELDERS ELDERS REPRESENTATIVE FATHER FRIENDS GOD INTERVIEWER LC 3 LC3 LC5 CHAIRMAN LCI LEADER OF ELDERS IN THE COMMUNITY LOCAL COUNCIL 3 MTN MY GRAND SON NEIGHBOURS NEIGHBOUS NEIHGBOURS NO BODY IS THERE FROM SAGE WE CAN GO TO NO WHERE NOBODY NONE PDC PROBATIN OFFICER PROGRAMME CORDINATOR RDC STEP SON STILL UNKNOWN TO THEM THEY WILL FIND OUT MORE THEY DON`T KNOW WHERE TO START TOWN AGENT TOWN COUNCIL UNLESS CONFERRED THAT THE PERSON IS RESPONSIBLE VILLAGE PROGRAMME CORDINATOR WOMEN LEADER hh15 q25: have you ever made an appeal or raised a complaint with or about the p hh15 q25: have you ever made an appeal or raised a complaint with or about the p hh15 q25: have you ever made an appeal or raised a complaint with or about the p hh15 q25: have you ever made an appeal or raised a complaint with or about the p hh15 q25: have you ever made an appeal or raised a complaint with or about the p 2758 1217 1 yes 2 no 98 dk/can't remember Sysmiss hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? 179 3796 1 village chairperson (lc1) 2 parish chief 3 sub-county chief 4 sage staff member 5 sage head office 6 births registration notifier 97 other 98 dk/can't remember Sysmiss hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? 8 CDO ELDER HUSBAND LC3 MEMBER OF PALIAMENT NEIGHBOURS SAGE MATIFIER VILLAGE MEMBERS hh15 q27:did you receive a response to your appeal/complaint from the programme? hh15 q27:did you receive a response to your appeal/complaint from the programme? hh15 q27:did you receive a response to your appeal/complaint from the programme? hh15 q27:did you receive a response to your appeal/complaint from the programme? hh15 q27:did you receive a response to your appeal/complaint from the programme? 179 3796 1 yes 2 only made appeal/complaint very recently 3 have not had a response 98 dk/can't remember Sysmiss hh15 q28:overall, how would you describe your treatment by the sage programme? hh15 q28:overall, how would you describe your treatment by the sage programme? hh15 q28:overall, how would you describe your treatment by the sage programme? hh15 q28:overall, how would you describe your treatment by the sage programme? hh15 q28:overall, how would you describe your treatment by the sage programme? 179 3796 1 very good 2 quite good 3 neither good nor bad 4 quite bad 5 very bad 98 dk/can't remember Sysmiss hh15 q29 would you say there was any shame associated with being enrolled in th hh15 q29 would you say there was any shame associated with being enrolled in th hh15 q29 would you say there was any shame associated with being enrolled in th hh15 q29 would you say there was any shame associated with being enrolled in th hh15 q29 would you say there was any shame associated with being enrolled in th 2758 1217 1 yes 2 no 98 dk/can't remember Sysmiss hh15 q30 would you say there has been any tensions or insecurity caused by the hh15 q30 would you say there has been any tensions or insecurity caused by the hh15 q30 would you say there has been any tensions or insecurity caused by the hh15 q30 would you say there has been any tensions or insecurity caused by the hh15 q30 would you say there has been any tensions or insecurity caused by the 2758 1217 1 yes 2 no 98 dk/can't remember Sysmiss 3975 indicator of each last matching case as primary indicator of each last matching case as primary indicator of each last matching case as primary indicator of each last matching case as primary indicator of each last matching case as primary 3975 duplicate case 1 primary case HHs seem to have incomple info e.g. housing conditions HHs seem to have incomple info e.g. housing conditions HHs seem to have incomple info e.g. housing conditions HHs seem to have incomple info e.g. housing conditions HHs seem to have incomple info e.g. housing conditions 3975 1 HHs with no demogaphics HHs with no demogaphics HHs with no demogaphics HHs with no demogaphics HHs with no demogaphics 3975 HHs with no info on food expenses HHs with no info on food expenses HHs with no info on food expenses HHs with no info on food expenses HHs with no info on food expenses 3975 HHs members - size HHs members - size HHs members - size HHs members - size HHs members - size 3975 25 4.972 3.074 Visitors -size Visitors -size Visitors -size Visitors -size Visitors -size 3975 27 0.807 2.034 District District District District District 3975 APAC KABERAMAIDO KATAKWI KIBOGA KYENJOJO MOROTO NAKAPIRIPIRIT NEBBI Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse 3975 1.389 42.718 17.506 7.78 Dcoding Dcoding Dcoding Dcoding Dcoding 3091 103 207 213 302 308 310 311 415 Ccoding Ccoding Ccoding Ccoding Ccoding 3091 884 1 2 3 Sysmiss Ccode-2012 Ccode-2012 Ccode-2012 Ccode-2012 Ccode-2012 3091 884 1031 4151 3077.348 802.531 Scoding Scoding Scoding Scoding Scoding 3091 884 1 2 3 4 5 6 7 8 10 11 13 16 Sysmiss Scode-2012 Scode-2012 Scode-2012 Scode-2012 Scode-2012 3091 884 103103 415116 307739.491 80254.862 Pcoding Pcoding Pcoding Pcoding Pcoding 3091 884 1 2 3 4 5 6 7 8 9 10 Sysmiss Pcode-2012 Pcode-2012 Pcode-2012 Pcode-2012 Pcode-2012 3091 884 10310301 41511605 30773952.659 8025486.7 Vcoding Vcoding Vcoding Vcoding Vcoding 3091 884 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 Sysmiss Vcode-2012 Vcode-2012 Vcode-2012 Vcode-2012 Vcode-2012 3091 884 1031030102 4151160505 3077395271.069 802548669.913 EAname-2012 EAname-2012 EAname-2012 EAname-2012 EAname-2012 3091 ABALANG ABALOKWERI ABATA ABEDO-BER ABOKET ABONGORWOT 'B' ABURU ABUTI ACAMIDAKO ACANDEK 'B' ACANPII ACEKITOYO ACHOLI INN 'B' ACUR ACWERA ADAK A ADAROKOT ADURUKOI ADYANG A ADYEGI D AGULE AGURI AGURI A AGUYA AGWA 'A' AGWENG AJOK AKESI 'A' AKISIM AKISIM 'A' AKOKO DAKO AKOKOMA AKOLODONG AKOT B AKPOYA AKWAKEL AKWOORO 'A' ALADO ALEBTONG ALELES 'B' ALENGO ALER ALONG A ALUKA CENTRAL ALURU AMALERA 'B' AMECA AMELENJU AMINTENG 'A' AMORU AMORU 'B' AMOTOT AMUKURAT 'B' AMULI AMULO 'B' AMWAK AMWANGA AMWONYOCAO B ANENOBER ANGANGUTI ANGAYIKI ANGEKI B ANGEO KOMA ANGIC 'B' ANGINY ANGIR ANYAI A 'B' ANYANGA ANYWAL APELE APIDYANG A APOLIKA APULE 'A' APUUTON 'A' APWORI ARENGEKEJU 'B' ARENGESIEP LC1 'A' ARIAMAOI 'B' ARIAMARENG WEST ATEDEOI 'A' ATHELE ATIDU ATINGLAKI ATUMA ATWEI AWIMON AWIR AWIR 'B' AYAGO CENTRAL AYAGO LOWER AYERA AYIKI B AYILA BAMA B BAMUSUUTA 'C' BAR BUNG BAR-ADU BAR-OPOK A BARAHIIJA BAROKWORO BIRENGA 'B' BOMA BUSANZA 'B' BUSASA 'A' BUZZIBWERA .A.'A' BUZZIBWERA .B. 'C' BWERA BWEREME BYARA 'A' CENTRAL 'B' CUCU LC1 'A' ELING ENJERU GALIRAAYA 'B' HARWOMA IGOMA B 'A' IGOTI CENTRAL IKAMIRO ISOROMA 'B' ISUNGA NYAKAKOKO 'B' IWAL JAPIEMONEN CENTRAL JUPALANGA JUPANYANGIL KABAGUNDA KABAKANJAGALA 'C' KABATOORO KABUYANDA KAJUMA 'B' KAJUMA-NTUNTU KAKAWOI B KAKERE KAKONI B KALANGALA KALOI KAMANA A KANYINYI UPPER KARONGO KASABA C 'B' KASEGA 'B' KASENYI 'A' KASUKU 'A' KASWA 'A' KATAMBALE 'B' KATANGA 'D' KATARA 'B' KATEMBE A KATINGI 'B' KATOOSA KELIM I 'A' KEOLU KIBOGA TOWN 'B' KIDE KIDEPO PUPU KIGOYERA 'B' KIHOIGA KIIYA KIJUGO 'B' KIJWIGA KIKWETE KINDEKE 'B' KIRONGO KIRONGO B 'A' KIRULUMBA KISOJO 'A' KISUGA KITEMBE KITONKYA 'B' KIYAYA EAST KOCHUNOI KOTARUK KOTHONGOLA 'B' KYAATO 'A' KYABAGONZA LC KYABIGANJA KYABOROBYA KYAKABOYO 'B' KYAKATUMBA KYANIKA KYANYAMA 'B' KYANYAMUTALE 'A' KYARUTWE KYAYIMBA 'A' KYEMBOGO 'A' KYETUME A 'B' LAJJO LANGODYANG LENG CONGI LOKORETE 'B' LOLETEKIA LONANGAT LONGOROKO 'A' LONYASAN 'B' LOPUR 'B' LUFULA 'C' LUGA LUWUNGA .A. 'A' LWALA LYAMUGUMBA MADI UPPER MAGORO TR 'A' MAJENGO B 'B' MAMBI MIRAMBI MISENYI MPARO B 'A' MPONGO 'B' MPUNDA 'B' MUBOGO CENTRAL MUKOLE 'B' MUKUNYU CENTRAL 'C' MULIMA MUZIRANDURU MVULI MWARO A 'B' MWIBALE 'A' NACHOGOROM 'B' NACHUKA 'B' NAKAMISTAE 'C' NAKAPELIMEN 'B' NAKUDEP 'F' NAMIDIKAO 'A' NAMIJIMIJ NAMRWODO NANGOKIRIPI 'A' NANGORIKIPI NANGORIT 'A' NAPAYAN LC1 'B' NATARI NATENGEREBET 'A' NATOPOJO 'A' NDAMA NTOROKO ROAD 'B' NYABUSOZI NYAKAHAAMA NYAKATI NYAKIRO SOUTH NYAMBEHO NYAMWENDO NYANTUNGO B NYARUBINGO NYARUKOMA 'A' NYARUTUNTU OBALONGWEN OBANGA NGEO OBIA OBIRAI ODODOI ODOKUNA OIDOTONGOLE OIMAI OKICIRA OKORIO 'A' OKWOT OLANYOTAI OLEKO OLELPEK OLELPEK 'A' OLIO OLOKOKWOME OMID AMORU 'B' OMODOI OMUSUGUN B ONGATUNYO-OMINYA ONGEMA ONGOROMO OPENO ORIWO ACWERA B ORYANG OSUGURO OTAL IMALO OTORONGOLE A OWANG 'A' PA WONG PIDA PACER PACER EAST PAKECH SOUTH PARWATH PIDA PUPU 'D' RAMOGI RIVER RUBANGO A RUGOMBE NYAMASOBYA RUKIIZI I 'A' RUMBA RWAMUGONERA RWENKUBA 'A' RWENTALE TE-OPOK TEBOKE TEITEK 'B' THATHA TOIBONG 'A' TORO TOROMA OBONGUT TRADING CENTRE LC1 'A' UNJUKU UPPER 'B' WIDAM WIGWENG WIGWENG A EAcoding EAcoding EAcoding EAcoding EAcoding 3091 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 24 Eacode-2012 Eacode-2012 Eacode-2012 Eacode-2012 Eacode-2012 3091 103103010206 103103020202 103103020406 103103030202 103103040501 103105010101 103105010205 103105010412 103105020108 103105020203 103105030207 103105040109 103105040301 207101010401 207101020208 207101020704 207101030206 207101030704 207101040404 207102010202 207102010405 207102010711 207102020208 207102020701 207102030105 207102030201 207102040207 207102040402 207103010204 207103010502 207103020205 207103020506 207201010305 207201010708 207201020510 207201040201 207201050205 207201060203 207201070105 207201070301 207205010501 207205020204 207205030107 207205030809 213101010119 213101011409 213101011905 213101020608 213101030104 213101030713 213104030302 213106010207 213106010604 213106011201 213106020407 213106021105 213106030216 213106030609 213106031115 213106031702 213201011016 213201020108 213201021016 213201021912 213201030712 213205020204 213205020602 213205030309 213205040104 213205040706 302101010306 302101011009 302101020712 302101021307 302101030614 302101040413 302101041208 302101050110 302101050701 302101060102 302102010110 302102010607 302102011217 302102020205 302102030207 302102031308 302102041102 302102050808 302105010304 302105011005 302105020304 302105020910 302105030403 302105040118 302105040805 302105041207 302105041904 302105050603 302107010313 302107011207 302107020812 302107030203 302107030913 302107040212 302107041201 302107051307 302107061112 302107070608 302107080201 302107090309 302107090902 302201010108 302201011104 302201020701 302201050108 302201050803 302201060309 302201080312 302202010520 302202011209 302202011812 302202020211 302202021007 302202031214 302202031611 302202040308 302202040922 302202041409 302202050516 302204010407 302204030709 302204050409 302204050901 302204060601 302204070401 302204070912 302204090810 302204100503 302205010207 302205010604 302205020512 302205021110 302205031107 302205040306 302205040910 302205041305 302205050609 302205060202 302205061108 308102010107 308102031003 308102031212 308102040108 308102040301 308102040504 308102040603 308102050204 308102050605 308102050915 308102051009 308102060207 308102060412 308102060808 308102060904 308103010305 308103010603 308103020206 308103020609 308103030102 308103030303 308103040304 308103040612 308103050211 308202010205 310102011106 310102020108 310102020815 310102021411 310102030611 310102040715 310102041510 310103020712 310103030304 310103050104 310103050506 310104021005 310104031117 310104050111 310104050707 310104070920 310105010108 310105010504 310105040501 310203010108 310203010501 310203030304 310203031415 310203040117 310203040213 310203040412 310203040721 310203041015 310203041316 310203050305 310203050709 310203051103 310203060908 310204070208 310205031013 310205040204 310205040602 310207010301 310207020405 310207030206 310207030503 310207040404 310207050201 310207060204 310207070202 310207080101 310207080304 310207090101 310207090402 311303010103 311303010206 311303030202 311303040111 311303040202 311303050104 311303050302 311303060301 311303070202 415102010903 415102020710 415102021007 415102030205 415102040101 415102040407 415102050207 415102050803 415102060407 415102070105 415103010104 415103020104 415103030302 415103040503 415103050602 415103070306 415106010107 415106010601 415106020405 415106030302 415106030610 415106040404 415106050309 415106050701 415106060207 415106060506 415106070409 415106070903 415106080208 415106080809 415107010101 415107010404 415107030101 415107030407 415107040403 415108010503 415108050204 415108060107 415108060502 415110020506 415110030306 415110040107 415110050301 415111010107 415111020213 415111020506 415111020914 415111021121 415111030212 415111030308 415111030502 415111030607 415111030903 415111040202 415111040515 415111040724 415111041218 415111050305 415111050606 415111060403 415111070109 415111070410 415111070607 415111080102 415111080504 415113010507 415113020406 415113030101 415113040104 415113040507 415113070106 415113070501 415116010409 415116010704 415116020501 415116030107 415116030606 415116040706 415116050502 3091 1 2 3 4 Place of residence Place of residence Place of residence Place of residence Place of residence 3975 Rural 1 Urban 2 Rural 3 Other Urban Region rural-urban Region rural-urban Region rural-urban Region rural-urban Region rural-urban 3975 10 Central rural 11 Central urban 20 Eastern rural 21 Eastern urban 30 Northern rural 31 Northern urban 40 Western rural 41 Western urban District rural-urban District rural-urban District rural-urban District rural-urban District rural-urban 3975 1030 4151 3090.868 736.925 Part 2 of hhid Part 2 of hhid Part 2 of hhid Part 2 of hhid Part 2 of hhid 3975 1 9174 74.413 259.087 Monthly food expenditures, unadjusted UgShs Monthly food expenditures, unadjusted UgShs Monthly food expenditures, unadjusted UgShs Monthly food expenditures, unadjusted UgShs Monthly food expenditures, unadjusted UgShs 3975 1821.429 1717285.722 173907.838 146896.79 (sum) nmfexp30 (sum) nmfexp30 (sum) nmfexp30 (sum) nmfexp30 (sum) nmfexp30 3975 1605428.58 178711.012 150910.12 (sum) rrfxp30 (sum) rrfxp30 (sum) rrfxp30 (sum) rrfxp30 (sum) rrfxp30 3975 1827.365 1721370.57 173738.88 146302.995 Month expenditure on matooke, Ugshs Month expenditure on matooke, Ugshs Month expenditure on matooke, Ugshs Month expenditure on matooke, Ugshs Month expenditure on matooke, Ugshs 3975 300000 5401.24 17311.764 Month expenditure on roots & tubers, Ugshs Month expenditure on roots & tubers, Ugshs Month expenditure on roots & tubers, Ugshs Month expenditure on roots & tubers, Ugshs Month expenditure on roots & tubers, Ugshs 3975 660000 52093.668 59222.244 Monthly expenditure on rice, Ugshs Monthly expenditure on rice, Ugshs Monthly expenditure on rice, Ugshs Monthly expenditure on rice, Ugshs Monthly expenditure on rice, Ugshs 3975 257142.859 1483.908 8063.851 Monthly expenditure on bread, Ugshs Monthly expenditure on bread, Ugshs Monthly expenditure on bread, Ugshs Monthly expenditure on bread, Ugshs Monthly expenditure on bread, Ugshs 3975 150000 841.671 5115.907 Month expenditure on cereals, Ugshs Month expenditure on cereals, Ugshs Month expenditure on cereals, Ugshs Month expenditure on cereals, Ugshs Month expenditure on cereals, Ugshs 3975 617142.875 23264.697 40469.735 Month expenditure on meat, Ugshs Month expenditure on meat, Ugshs Month expenditure on meat, Ugshs Month expenditure on meat, Ugshs Month expenditure on meat, Ugshs 3975 617142.875 25220.532 47614.688 Month expenditure on fresh milk, Ugshs Month expenditure on fresh milk, Ugshs Month expenditure on fresh milk, Ugshs Month expenditure on fresh milk, Ugshs Month expenditure on fresh milk, Ugshs 3975 360000 4762.803 14706.92 (sum) xinfant (sum) xinfant (sum) xinfant (sum) xinfant (sum) xinfant 3975 145714.281 116.011 3266.399 Month expenditure on oils, Ugshs Month expenditure on oils, Ugshs Month expenditure on oils, Ugshs Month expenditure on oils, Ugshs Month expenditure on oils, Ugshs 3975 150000 4102.154 6988.251 Month expenditure on fruits, Ugshs Month expenditure on fruits, Ugshs Month expenditure on fruits, Ugshs Month expenditure on fruits, Ugshs Month expenditure on fruits, Ugshs 3975 180000 3387.813 10735.058 Month expenditure on vegetables, Ugshs Month expenditure on vegetables, Ugshs Month expenditure on vegetables, Ugshs Month expenditure on vegetables, Ugshs Month expenditure on vegetables, Ugshs 3975 171428.574 11700.264 13254.911 Month expenditure on legumes, Ugshs Month expenditure on legumes, Ugshs Month expenditure on legumes, Ugshs Month expenditure on legumes, Ugshs Month expenditure on legumes, Ugshs 3975 900000 27633.118 34368.526 Monthly expenditure on sugar, Ug.Shs Monthly expenditure on sugar, Ug.Shs Monthly expenditure on sugar, Ug.Shs Monthly expenditure on sugar, Ug.Shs Monthly expenditure on sugar, Ug.Shs 3975 216000 4104.143 8528.471 Month expenditure on condiments, Ugshs Month expenditure on condiments, Ugshs Month expenditure on condiments, Ugshs Month expenditure on condiments, Ugshs Month expenditure on condiments, Ugshs 3975 70714.286 489.954 2126.826 Monthly expenditure on salt, Ug.Shs Monthly expenditure on salt, Ug.Shs Monthly expenditure on salt, Ug.Shs Monthly expenditure on salt, Ug.Shs Monthly expenditure on salt, Ug.Shs 3975 15000 1225.452 888.546 Monthly expenditure on soda/juice/drinks, Ug.Shs Monthly expenditure on soda/juice/drinks, Ug.Shs Monthly expenditure on soda/juice/drinks, Ug.Shs Monthly expenditure on soda/juice/drinks, Ug.Shs Monthly expenditure on soda/juice/drinks, Ug.Shs 3975 192857.141 1635.812 8323.434 Monthly expenditure on beer, Ug.Shs Monthly expenditure on beer, Ug.Shs Monthly expenditure on beer, Ug.Shs Monthly expenditure on beer, Ug.Shs Monthly expenditure on beer, Ug.Shs 3975 300000 831.698 8321.423 Monthly expenditure on other alchol, Ug.Shs Monthly expenditure on other alchol, Ug.Shs Monthly expenditure on other alchol, Ug.Shs Monthly expenditure on other alchol, Ug.Shs Monthly expenditure on other alchol, Ug.Shs 3975 180000 2807.978 10796.922 Monthly expenditure on cigarettes, Ug.Shs Monthly expenditure on cigarettes, Ug.Shs Monthly expenditure on cigarettes, Ug.Shs Monthly expenditure on cigarettes, Ug.Shs Monthly expenditure on cigarettes, Ug.Shs 3975 300000 567.736 5982.973 Monthly expenditure on other tobacco, Ug.Shs Monthly expenditure on other tobacco, Ug.Shs Monthly expenditure on other tobacco, Ug.Shs Monthly expenditure on other tobacco, Ug.Shs Monthly expenditure on other tobacco, Ug.Shs 3975 90000 340.041 2483.905 Month expenditure in restaurants, Ugshs Month expenditure in restaurants, Ugshs Month expenditure in restaurants, Ugshs Month expenditure in restaurants, Ugshs Month expenditure in restaurants, Ugshs 3975 840000 1175.526 20497 Month expenditure other foods, Ugshs Month expenditure other foods, Ugshs Month expenditure other foods, Ugshs Month expenditure other foods, Ugshs Month expenditure other foods, Ugshs 3975 128571.43 248.518 4018.047 Month expenditure green gram, Ugshs Month expenditure green gram, Ugshs Month expenditure green gram, Ugshs Month expenditure green gram, Ugshs Month expenditure green gram, Ugshs 3975 45000 467.601 2832.842 Month expenditure lentils, Ugshs Month expenditure lentils, Ugshs Month expenditure lentils, Ugshs Month expenditure lentils, Ugshs Month expenditure lentils, Ugshs 3975 4285.714 5.499 142.337 Monthly food excl. tob & bev in mkt prices & adjuste for reg Monthly food excl. tob & bev in mkt prices & adjuste for reg Monthly food excl. tob & bev in mkt prices & adjuste for reg Monthly food excl. tob & bev in mkt prices & adjuste for reg Monthly food excl. tob & bev in mkt prices & adjuste for reg 3975 1610660.604 178561.705 150383.263 Month expenditure on matooke, adjusted Ugshs Month expenditure on matooke, adjusted Ugshs Month expenditure on matooke, adjusted Ugshs Month expenditure on matooke, adjusted Ugshs Month expenditure on matooke, adjusted Ugshs 3975 363631.938 6443.954 20602.711 Month expenditure on roots & tubers, adjusted Ugshs Month expenditure on roots & tubers, adjusted Ugshs Month expenditure on roots & tubers, adjusted Ugshs Month expenditure on roots & tubers, adjusted Ugshs Month expenditure on roots & tubers, adjusted Ugshs 3975 647765.387 53389.957 60861.952 Monthly expenditure on rice, adjusted Ugshs Monthly expenditure on rice, adjusted Ugshs Monthly expenditure on rice, adjusted Ugshs Monthly expenditure on rice, adjusted Ugshs Monthly expenditure on rice, adjusted Ugshs 3975 257980.875 1465.453 7977.149 (sum) mxbread (sum) mxbread (sum) mxbread (sum) mxbread (sum) mxbread 3975 150472.313 841.581 5096.106 Month expenditure on cereals,adjusted Ugshs Month expenditure on cereals,adjusted Ugshs Month expenditure on cereals,adjusted Ugshs Month expenditure on cereals,adjusted Ugshs Month expenditure on cereals,adjusted Ugshs 3975 792978.813 24959.423 44781.404 Month expenditure on meat, adjusted Ugshs Month expenditure on meat, adjusted Ugshs Month expenditure on meat, adjusted Ugshs Month expenditure on meat, adjusted Ugshs Month expenditure on meat, adjusted Ugshs 3975 866815.75 29099.518 58070.99 Month expenditure on fresh milk, adjusted Ugshs Month expenditure on fresh milk, adjusted Ugshs Month expenditure on fresh milk, adjusted Ugshs Month expenditure on fresh milk, adjusted Ugshs Month expenditure on fresh milk, adjusted Ugshs 3975 375493.938 4756.328 14856.568 (sum) mxinfant (sum) mxinfant (sum) mxinfant (sum) mxinfant (sum) mxinfant 3975 146173.109 116.057 3274.947 Month expenditure on oils, adjusted Ugshs Month expenditure on oils, adjusted Ugshs Month expenditure on oils, adjusted Ugshs Month expenditure on oils, adjusted Ugshs Month expenditure on oils, adjusted Ugshs 3975 150472.313 4086.792 6961.345 Month expenditure on fruits, adjusted Ugshs Month expenditure on fruits, adjusted Ugshs Month expenditure on fruits, adjusted Ugshs Month expenditure on fruits, adjusted Ugshs Month expenditure on fruits, adjusted Ugshs 3975 214985.383 3771.79 12213.119 Month expenditure on vegetables, adjusted Ugshs Month expenditure on vegetables, adjusted Ugshs Month expenditure on vegetables, adjusted Ugshs Month expenditure on vegetables, adjusted Ugshs Month expenditure on vegetables, adjusted Ugshs 3975 210206.633 13011.669 15262.228 Month expenditure on legumes, adjusted Ugshs Month expenditure on legumes, adjusted Ugshs Month expenditure on legumes, adjusted Ugshs Month expenditure on legumes, adjusted Ugshs Month expenditure on legumes, adjusted Ugshs 3975 925142 29293.15 36277.591 Monthly expenditure on sugar, adjusted Ug.Shs Monthly expenditure on sugar, adjusted Ug.Shs Monthly expenditure on sugar, adjusted Ug.Shs Monthly expenditure on sugar, adjusted Ug.Shs Monthly expenditure on sugar, adjusted Ug.Shs 3975 193111.172 4086.379 8374.858 Month expenditure on condiments, adjusted Ugshs Month expenditure on condiments, adjusted Ugshs Month expenditure on condiments, adjusted Ugshs Month expenditure on condiments, adjusted Ugshs Month expenditure on condiments, adjusted Ugshs 3975 70936.95 489.856 2122.606 Monthly expenditure on salt, adjusted Ug.Shs Monthly expenditure on salt, adjusted Ug.Shs Monthly expenditure on salt, adjusted Ug.Shs Monthly expenditure on salt, adjusted Ug.Shs Monthly expenditure on salt, adjusted Ug.Shs 3975 15048.885 1223.959 879.19 Monthly expenditure on soda/juices/drinks, adjusted Ug.Shs Monthly expenditure on soda/juices/drinks, adjusted Ug.Shs Monthly expenditure on soda/juices/drinks, adjusted Ug.Shs Monthly expenditure on soda/juices/drinks, adjusted Ug.Shs Monthly expenditure on soda/juices/drinks, adjusted Ug.Shs 3975 189282.094 1629.784 8224.789 Monthly expenditure on beer, adjusted Ug.Shs Monthly expenditure on beer, adjusted Ug.Shs Monthly expenditure on beer, adjusted Ug.Shs Monthly expenditure on beer, adjusted Ug.Shs Monthly expenditure on beer, adjusted Ug.Shs 3975 300000 831.698 8321.423 Monthly expenditure on other alchol, adjusted Ug.Shs Monthly expenditure on other alchol, adjusted Ug.Shs Monthly expenditure on other alchol, adjusted Ug.Shs Monthly expenditure on other alchol, adjusted Ug.Shs Monthly expenditure on other alchol, adjusted Ug.Shs 3975 180000 2807.978 10796.922 Monthly expenditure on cigarretes, adjusted Ug.Shs Monthly expenditure on cigarretes, adjusted Ug.Shs Monthly expenditure on cigarretes, adjusted Ug.Shs Monthly expenditure on cigarretes, adjusted Ug.Shs Monthly expenditure on cigarretes, adjusted Ug.Shs 3975 300000 567.736 5982.973 Monthly expenditure on other tobacco, adjusted Ug.Shs Monthly expenditure on other tobacco, adjusted Ug.Shs Monthly expenditure on other tobacco, adjusted Ug.Shs Monthly expenditure on other tobacco, adjusted Ug.Shs Monthly expenditure on other tobacco, adjusted Ug.Shs 3975 90000 340.041 2483.905 Month expenditure in restaurants, adjusted Ugshs Month expenditure in restaurants, adjusted Ugshs Month expenditure in restaurants, adjusted Ugshs Month expenditure in restaurants, adjusted Ugshs Month expenditure in restaurants, adjusted Ugshs 3975 840000 1175.526 20497 Month expenditure other food, drinks, adjusted Ugshs Month expenditure other food, drinks, adjusted Ugshs Month expenditure other food, drinks, adjusted Ugshs Month expenditure other food, drinks, adjusted Ugshs Month expenditure other food, drinks, adjusted Ugshs 3975 128646.18 244.512 3935.779 Month expenditure other food, drinks, adjusted Ugshs Month expenditure other food, drinks, adjusted Ugshs Month expenditure other food, drinks, adjusted Ugshs Month expenditure other food, drinks, adjusted Ugshs Month expenditure other food, drinks, adjusted Ugshs 3975 57931.84 540.589 3302.984 Month expenditure other food, drinks, adjusted Ugshs Month expenditure other food, drinks, adjusted Ugshs Month expenditure other food, drinks, adjusted Ugshs Month expenditure other food, drinks, adjusted Ugshs Month expenditure other food, drinks, adjusted Ugshs 3975 5255.166 6.262 160.85 (sum) hfood7 (sum) hfood7 (sum) hfood7 (sum) hfood7 (sum) hfood7 3975 270200 20338.052 23719.021 (sum) pfood7 (sum) pfood7 (sum) pfood7 (sum) pfood7 (sum) pfood7 3975 361700 16900.302 22152.995 (sum) food7 (sum) food7 (sum) food7 (sum) food7 (sum) food7 3975 400700 40248.206 33796.993 HH food expenses from market HH food expenses from market HH food expenses from market HH food expenses from market HH food expenses from market 3975 1289553.118 68285.339 91642.764 HH food expense from own produce HH food expense from own produce HH food expense from own produce HH food expense from own produce HH food expense from own produce 3975 1203863.577 97022.318 114419.27 HH food expenses from gifts/free HH food expenses from gifts/free HH food expenses from gifts/free HH food expenses from gifts/free HH food expenses from gifts/free 3975 1563079.882 14818.507 40838.813 Non-durable expenses in the last 30 days Non-durable expenses in the last 30 days Non-durable expenses in the last 30 days Non-durable expenses in the last 30 days Non-durable expenses in the last 30 days 3975 2000 4297100 62671.715 111936.868 Monthly housing rent for renters, UgShs Monthly housing rent for renters, UgShs Monthly housing rent for renters, UgShs Monthly housing rent for renters, UgShs Monthly housing rent for renters, UgShs 3975 49926 515.078 3500.546 Monthly housing imputed rent for owner occupied, UgShs Monthly housing imputed rent for owner occupied, UgShs Monthly housing imputed rent for owner occupied, UgShs Monthly housing imputed rent for owner occupied, UgShs Monthly housing imputed rent for owner occupied, UgShs 3975 500000 19566.201 36613.567 Monthly housing maintennance & repairs, UgShs Monthly housing maintennance & repairs, UgShs Monthly housing maintennance & repairs, UgShs Monthly housing maintennance & repairs, UgShs Monthly housing maintennance & repairs, UgShs 3975 120000 418.566 4320.802 Monthly water expenditure , UgShs Monthly water expenditure , UgShs Monthly water expenditure , UgShs Monthly water expenditure , UgShs Monthly water expenditure , UgShs 3975 300000 5911.082 12929.621 Monthly electricity expenditure , UgShs Monthly electricity expenditure , UgShs Monthly electricity expenditure , UgShs Monthly electricity expenditure , UgShs Monthly electricity expenditure , UgShs 3975 44800 134.82 1681.369 Monthly generator/lawn mower fuel expenditure , UgShs Monthly generator/lawn mower fuel expenditure , UgShs Monthly generator/lawn mower fuel expenditure , UgShs Monthly generator/lawn mower fuel expenditure , UgShs Monthly generator/lawn mower fuel expenditure , UgShs 3975 100000 124.579 2767.389 Monthly parafin expenditure , UgShs Monthly parafin expenditure , UgShs Monthly parafin expenditure , UgShs Monthly parafin expenditure , UgShs Monthly parafin expenditure , UgShs 3975 100000 124.579 2767.389 Monthly expenditure of firewood, charcoal , UgShs Monthly expenditure of firewood, charcoal , UgShs Monthly expenditure of firewood, charcoal , UgShs Monthly expenditure of firewood, charcoal , UgShs Monthly expenditure of firewood, charcoal , UgShs 3975 360000 15963.263 18357.171 Monthly non-durable and personal expenditure , UgShs- matches Monthly non-durable and personal expenditure , UgShs- matches Monthly non-durable and personal expenditure , UgShs- matches Monthly non-durable and personal expenditure , UgShs- matches Monthly non-durable and personal expenditure , UgShs- matches 3975 38000 605.967 1167.448 Monthly non-durable and personal expenditure , UgShs- soap Monthly non-durable and personal expenditure , UgShs- soap Monthly non-durable and personal expenditure , UgShs- soap Monthly non-durable and personal expenditure , UgShs- soap Monthly non-durable and personal expenditure , UgShs- soap 3975 154000 5797.774 7071.122 Monthly non-durable and personal expenditure , UgShs- toothpaste Monthly non-durable and personal expenditure , UgShs- toothpaste Monthly non-durable and personal expenditure , UgShs- toothpaste Monthly non-durable and personal expenditure , UgShs- toothpaste Monthly non-durable and personal expenditure , UgShs- toothpaste 3975 120000 457.547 2847.86 Monthly non-durable and personal expenditure , UgShs - cosmetics Monthly non-durable and personal expenditure , UgShs - cosmetics Monthly non-durable and personal expenditure , UgShs - cosmetics Monthly non-durable and personal expenditure , UgShs - cosmetics Monthly non-durable and personal expenditure , UgShs - cosmetics 3975 26000 246.214 1388.07 Monthly non-durable and personal expenditure , UgShs - handbag, travel bags Monthly non-durable and personal expenditure , UgShs - handbag, travel bags Monthly non-durable and personal expenditure , UgShs - handbag, travel bags Monthly non-durable and personal expenditure , UgShs - handbag, travel bags Monthly non-durable and personal expenditure , UgShs - handbag, travel bags 3975 91000 58.264 1589.995 Monthly non-durable and personal expenditure , UgShs- bat Monthly non-durable and personal expenditure , UgShs- bat Monthly non-durable and personal expenditure , UgShs- bat Monthly non-durable and personal expenditure , UgShs- bat Monthly non-durable and personal expenditure , UgShs- bat 3975 82000 1111.27 2316.11 (sum) xnews (sum) xnews (sum) xnews (sum) xnews (sum) xnews 3975 30000 19.296 559.173 Monthly on other non-durable and personal expenditure , UgShs Monthly on other non-durable and personal expenditure , UgShs Monthly on other non-durable and personal expenditure , UgShs Monthly on other non-durable and personal expenditure , UgShs Monthly on other non-durable and personal expenditure , UgShs 3975 2500 1.509 53.773 Monthly expenditure on tyres, tubes spares, UgShs Monthly expenditure on tyres, tubes spares, UgShs Monthly expenditure on tyres, tubes spares, UgShs Monthly expenditure on tyres, tubes spares, UgShs Monthly expenditure on tyres, tubes spares, UgShs 3975 300000 230.616 5512.921 Monthly expenditure on petrol, diesel, UgShs Monthly expenditure on petrol, diesel, UgShs Monthly expenditure on petrol, diesel, UgShs Monthly expenditure on petrol, diesel, UgShs Monthly expenditure on petrol, diesel, UgShs 3975 500000 514.843 11188.3 Monthly expenditure on taxi, bus, boda boda fares, UgShs Monthly expenditure on taxi, bus, boda boda fares, UgShs Monthly expenditure on taxi, bus, boda boda fares, UgShs Monthly expenditure on taxi, bus, boda boda fares, UgShs Monthly expenditure on taxi, bus, boda boda fares, UgShs 3975 400000 1306.893 11542.425 Monthly expenditure on stamps, etc, UgShs Monthly expenditure on stamps, etc, UgShs Monthly expenditure on stamps, etc, UgShs Monthly expenditure on stamps, etc, UgShs Monthly expenditure on stamps, etc, UgShs 3975 50000 17.358 811.391 Monthly expenditure on airtime & service fees for owned fixed/mobile phones, etc Monthly expenditure on airtime & service fees for owned fixed/mobile phones, etc Monthly expenditure on airtime & service fees for owned fixed/mobile phones, etc Monthly expenditure on airtime & service fees for owned fixed/mobile phones, etc Monthly expenditure on airtime & service fees for owned fixed/mobile phones, etc 3975 240000 851.623 7698.046 Monthly expenditure on phones not owned, etc, UgShs Monthly expenditure on phones not owned, etc, UgShs Monthly expenditure on phones not owned, etc, UgShs Monthly expenditure on phones not owned, etc, UgShs Monthly expenditure on phones not owned, etc, UgShs 3975 20000 53.643 715.469 Monthly expenditure on other transport & communication, UgShs Monthly expenditure on other transport & communication, UgShs Monthly expenditure on other transport & communication, UgShs Monthly expenditure on other transport & communication, UgShs Monthly expenditure on other transport & communication, UgShs 3975 20000 23.397 575.201 Monthly expenses on sports, theatres, UgShs Monthly expenses on sports, theatres, UgShs Monthly expenses on sports, theatres, UgShs Monthly expenses on sports, theatres, UgShs Monthly expenses on sports, theatres, UgShs 3975 50000 45.887 1183.172 Monthly expenses on dry cleaning-laundry, UgShs Monthly expenses on dry cleaning-laundry, UgShs Monthly expenses on dry cleaning-laundry, UgShs Monthly expenses on dry cleaning-laundry, UgShs Monthly expenses on dry cleaning-laundry, UgShs 3975 16000 4.025 253.777 Monthly houseboys/girls, shamba boys etc expenditure, UgShs Monthly houseboys/girls, shamba boys etc expenditure, UgShs Monthly houseboys/girls, shamba boys etc expenditure, UgShs Monthly houseboys/girls, shamba boys etc expenditure, UgShs Monthly houseboys/girls, shamba boys etc expenditure, UgShs 3975 200000 302.013 4909.823 Monthly expenses on barber & beauty, UgShs Monthly expenses on barber & beauty, UgShs Monthly expenses on barber & beauty, UgShs Monthly expenses on barber & beauty, UgShs Monthly expenses on barber & beauty, UgShs 3975 97500 378.214 2970.277 3975 4297100 61828.096 111492.037 3975 3975 500000 19237.66 36691.272 CPI deflator for 7 and 30 day recall period CPI deflator for 7 and 30 day recall period CPI deflator for 7 and 30 day recall period CPI deflator for 7 and 30 day recall period CPI deflator for 7 and 30 day recall period 3975 1.974 1.974 1.974 6.12e-07 CPI deflator for 365 recall period CPI deflator for 365 recall period CPI deflator for 365 recall period CPI deflator for 365 recall period CPI deflator for 365 recall period 3975 1.931 1.931 1.931 3.64e-07 3975 2.183 2.183 2.183 2.07e-07 3975 1.836 1.836 1.836 5.49e-07 Semi-durable and durable expenses during last 365 days Semi-durable and durable expenses during last 365 days Semi-durable and durable expenses during last 365 days Semi-durable and durable expenses during last 365 days Semi-durable and durable expenses during last 365 days 3975 35706000 428971.249 1435144.365 Monthly expenditure on semi-durable & durables Monthly expenditure on semi-durable & durables Monthly expenditure on semi-durable & durables Monthly expenditure on semi-durable & durables Monthly expenditure on semi-durable & durables 3975 2934739.726 35257.911 117957.071 Monthly expenditure on men & women clothing, UgShs Monthly expenditure on men & women clothing, UgShs Monthly expenditure on men & women clothing, UgShs Monthly expenditure on men & women clothing, UgShs Monthly expenditure on men & women clothing, UgShs 3975 177534.247 2578.566 7327.186 Monthly expenditure on children's clothing, UgShs Monthly expenditure on children's clothing, UgShs Monthly expenditure on children's clothing, UgShs Monthly expenditure on children's clothing, UgShs Monthly expenditure on children's clothing, UgShs 3975 164383.563 1609.762 4242.068 Monthly expenditure on other clothing & clothing materials, UgShs Monthly expenditure on other clothing & clothing materials, UgShs Monthly expenditure on other clothing & clothing materials, UgShs Monthly expenditure on other clothing & clothing materials, UgShs Monthly expenditure on other clothing & clothing materials, UgShs 3975 32876.711 118.311 938.201 Monthly expenditure on tailoring & materials, UgShs Monthly expenditure on tailoring & materials, UgShs Monthly expenditure on tailoring & materials, UgShs Monthly expenditure on tailoring & materials, UgShs Monthly expenditure on tailoring & materials, UgShs 3975 12328.768 95.744 586.694 Monthly expenditure on men & women's footwear, UgShs Monthly expenditure on men & women's footwear, UgShs Monthly expenditure on men & women's footwear, UgShs Monthly expenditure on men & women's footwear, UgShs Monthly expenditure on men & women's footwear, UgShs 3975 49315.07 638.265 1837.431 Monthly expenditure on children's footwear, UgShs Monthly expenditure on children's footwear, UgShs Monthly expenditure on children's footwear, UgShs Monthly expenditure on children's footwear, UgShs Monthly expenditure on children's footwear, UgShs 3975 65753.422 514.053 1686.738 Monthly expenditure on other clothing & footwear, UgShs Monthly expenditure on other clothing & footwear, UgShs Monthly expenditure on other clothing & footwear, UgShs Monthly expenditure on other clothing & footwear, UgShs Monthly expenditure on other clothing & footwear, UgShs 3975 246575.344 138.786 4134.24 Monthly expenditure on furniture items, UgShs Monthly expenditure on furniture items, UgShs Monthly expenditure on furniture items, UgShs Monthly expenditure on furniture items, UgShs Monthly expenditure on furniture items, UgShs 3975 176712.328 265.832 3737.48 Monthly expenditure on carpets, Ugshs Monthly expenditure on carpets, Ugshs Monthly expenditure on carpets, Ugshs Monthly expenditure on carpets, Ugshs Monthly expenditure on carpets, Ugshs 3975 147945.203 172.683 2381.514 Monthly expenditure on curtains, Ugshs Monthly expenditure on curtains, Ugshs Monthly expenditure on curtains, Ugshs Monthly expenditure on curtains, Ugshs Monthly expenditure on curtains, Ugshs 3975 36986.301 415.804 1085.121 (sum) xbed (sum) xbed (sum) xbed (sum) xbed (sum) xbed 3975 82191.781 437.891 2653.799 Monthly expenditure on blanket, Ugshs Monthly expenditure on blanket, Ugshs Monthly expenditure on blanket, Ugshs Monthly expenditure on blanket, Ugshs Monthly expenditure on blanket, Ugshs 3975 61643.836 144.3 1432.644 Monthly expenditure on unspec furniture, furnishigs, Ugshs Monthly expenditure on unspec furniture, furnishigs, Ugshs Monthly expenditure on unspec furniture, furnishigs, Ugshs Monthly expenditure on unspec furniture, furnishigs, Ugshs Monthly expenditure on unspec furniture, furnishigs, Ugshs 3975 115068.492 61.298 1993.75 Monthly expenditure on electric iron/kettles, Ugshs Monthly expenditure on electric iron/kettles, Ugshs Monthly expenditure on electric iron/kettles, Ugshs Monthly expenditure on electric iron/kettles, Ugshs Monthly expenditure on electric iron/kettles, Ugshs 3975 4109.589 6.852 118.922 Monthly expenditure on charcoal& kerosene stove, Ugshs Monthly expenditure on charcoal& kerosene stove, Ugshs Monthly expenditure on charcoal& kerosene stove, Ugshs Monthly expenditure on charcoal& kerosene stove, Ugshs Monthly expenditure on charcoal& kerosene stove, Ugshs 3975 9863.014 13.988 218.619 Monthly expenditure on electronic equipment, Ugshs Monthly expenditure on electronic equipment, Ugshs Monthly expenditure on electronic equipment, Ugshs Monthly expenditure on electronic equipment, Ugshs Monthly expenditure on electronic equipment, Ugshs 3975 32876.711 38.553 925.233 Monthly expenditure on bike, UgShs Monthly expenditure on bike, UgShs Monthly expenditure on bike, UgShs Monthly expenditure on bike, UgShs Monthly expenditure on bike, UgShs 3975 24657.535 248.602 1935.669 Monthly expenditure on radio, UgShs Monthly expenditure on radio, UgShs Monthly expenditure on radio, UgShs Monthly expenditure on radio, UgShs Monthly expenditure on radio, UgShs 3975 36164.383 136.471 921.958 Monthly expenditure on motorcar pickups, UgShs Monthly expenditure on motorcar pickups, UgShs Monthly expenditure on motorcar pickups, UgShs Monthly expenditure on motorcar pickups, UgShs Monthly expenditure on motorcar pickups, UgShs 3975 156164.391 43.174 2480.982 Monthly expenditure on motorcycle, UgShs Monthly expenditure on motorcycle, UgShs Monthly expenditure on motorcycle, UgShs Monthly expenditure on motorcycle, UgShs Monthly expenditure on motorcycle, UgShs 3975 287671.219 719.607 11972.233 Monthly expenditure on computer, UgShs Monthly expenditure on computer, UgShs Monthly expenditure on computer, UgShs Monthly expenditure on computer, UgShs Monthly expenditure on computer, UgShs 3975 164383.563 41.354 2607.293 Monthly expenditure on handset phone, UgShs Monthly expenditure on handset phone, UgShs Monthly expenditure on handset phone, UgShs Monthly expenditure on handset phone, UgShs Monthly expenditure on handset phone, UgShs 3975 32876.711 301.393 1678.282 Monthly expenditure on other hh appliances, UgShs Monthly expenditure on other hh appliances, UgShs Monthly expenditure on other hh appliances, UgShs Monthly expenditure on other hh appliances, UgShs Monthly expenditure on other hh appliances, UgShs 3975 73972.602 149.285 1564.397 Monthly expenditure on plastic plates, Ugshs Monthly expenditure on plastic plates, Ugshs Monthly expenditure on plastic plates, Ugshs Monthly expenditure on plastic plates, Ugshs Monthly expenditure on plastic plates, Ugshs 3975 24805.479 169.49 719.505 Monthly expenditure jerrycans, Ugshs Monthly expenditure jerrycans, Ugshs Monthly expenditure jerrycans, Ugshs Monthly expenditure jerrycans, Ugshs Monthly expenditure jerrycans, Ugshs 3975 23013.699 228.979 680.793 Monthly expenditure on enamel, metallic, Ugshs Monthly expenditure on enamel, metallic, Ugshs Monthly expenditure on enamel, metallic, Ugshs Monthly expenditure on enamel, metallic, Ugshs Monthly expenditure on enamel, metallic, Ugshs 3975 82191.781 186.978 1493.986 Monthly expenditure on switches, plugs etc, Ugshs Monthly expenditure on switches, plugs etc, Ugshs Monthly expenditure on switches, plugs etc, Ugshs Monthly expenditure on switches, plugs etc, Ugshs Monthly expenditure on switches, plugs etc, Ugshs 3975 82191.781 45.676 1611.731 Monthly expenditure on other utensils, UgShs Monthly expenditure on other utensils, UgShs Monthly expenditure on other utensils, UgShs Monthly expenditure on other utensils, UgShs Monthly expenditure on other utensils, UgShs 3975 821917.813 246.104 13109.356 Monthly expenditure on tution, boarding & PTA, UgShs Monthly expenditure on tution, boarding & PTA, UgShs Monthly expenditure on tution, boarding & PTA, UgShs Monthly expenditure on tution, boarding & PTA, UgShs Monthly expenditure on tution, boarding & PTA, UgShs 3975 2132876.688 16548.201 77669.167 Monthly expenditure on school uniform, UgShs Monthly expenditure on school uniform, UgShs Monthly expenditure on school uniform, UgShs Monthly expenditure on school uniform, UgShs Monthly expenditure on school uniform, UgShs 3975 73150.688 1285 3527.247 Monthly expenditure on books & supplies, UgShs Monthly expenditure on books & supplies, UgShs Monthly expenditure on books & supplies, UgShs Monthly expenditure on books & supplies, UgShs Monthly expenditure on books & supplies, UgShs 3975 197260.281 1577.405 5492.255 Monthly expenditure on transport related to educational expenses, UgShs Monthly expenditure on transport related to educational expenses, UgShs Monthly expenditure on transport related to educational expenses, UgShs Monthly expenditure on transport related to educational expenses, UgShs Monthly expenditure on transport related to educational expenses, UgShs 3975 69041.094 534.383 2836.327 Monthly expenditure on other educational expenses, UgShs Monthly expenditure on other educational expenses, UgShs Monthly expenditure on other educational expenses, UgShs Monthly expenditure on other educational expenses, UgShs Monthly expenditure on other educational expenses, UgShs 3975 133150.688 554.444 3769.855 Monthly expenditure on other durables, UgShs Monthly expenditure on other durables, UgShs Monthly expenditure on other durables, UgShs Monthly expenditure on other durables, UgShs Monthly expenditure on other durables, UgShs 3975 1397260.25 4990.678 46113.981 3975 1234 Monthly expenses on clothing in 2012 prices Monthly expenses on clothing in 2012 prices Monthly expenses on clothing in 2012 prices Monthly expenses on clothing in 2012 prices Monthly expenses on clothing in 2012 prices 3975 341095.875 4306.638 10650.354 Monthly expenses on clothing in 2005/6 prices Monthly expenses on clothing in 2005/6 prices Monthly expenses on clothing in 2005/6 prices Monthly expenses on clothing in 2005/6 prices Monthly expenses on clothing in 2005/6 prices 3975 185822.547 2346.175 5802.11 MOnthly footwear,shoes in 2012 prices MOnthly footwear,shoes in 2012 prices MOnthly footwear,shoes in 2012 prices MOnthly footwear,shoes in 2012 prices MOnthly footwear,shoes in 2012 prices 3975 312328.75 1291.105 5852.769 Monthly footwear, shoes in 2005/6 prices Monthly footwear, shoes in 2005/6 prices Monthly footwear, shoes in 2005/6 prices Monthly footwear, shoes in 2005/6 prices Monthly footwear, shoes in 2005/6 prices 3975 170150.766 703.369 3188.477 Monthly non-food expenses in 2012 prices Monthly non-food expenses in 2012 prices Monthly non-food expenses in 2012 prices Monthly non-food expenses in 2012 prices Monthly non-food expenses in 2012 prices 3975 2000 4347237 97929.626 185215.563 Monthly non-food expenses in 2005/6 prices Monthly non-food expenses in 2005/6 prices Monthly non-food expenses in 2005/6 prices Monthly non-food expenses in 2005/6 prices Monthly non-food expenses in 2005/6 prices 3975 1089.562 2368292.25 53350.199 100901.919 Monthly expenses on food & clothing exc. uniforms in 2012 prices Monthly expenses on food & clothing exc. uniforms in 2012 prices Monthly expenses on food & clothing exc. uniforms in 2012 prices Monthly expenses on food & clothing exc. uniforms in 2012 prices Monthly expenses on food & clothing exc. uniforms in 2012 prices 3975 2018.462 1826466.125 189486.632 160482.01 Monthly expenses on food & clothing exc. uniforms, in 2005/6 prices Monthly expenses on food & clothing exc. uniforms, in 2005/6 prices Monthly expenses on food & clothing exc. uniforms, in 2005/6 prices Monthly expenses on food & clothing exc. uniforms, in 2005/6 prices Monthly expenses on food & clothing exc. uniforms, in 2005/6 prices 3975 924.69 843501.063 87180.168 73898.824 Monthly expenditure on bev., alcholic drinks, tobacco cigar in 2012 prices Monthly expenditure on bev., alcholic drinks, tobacco cigar in 2012 prices Monthly expenditure on bev., alcholic drinks, tobacco cigar in 2012 prices Monthly expenditure on bev., alcholic drinks, tobacco cigar in 2012 prices Monthly expenditure on bev., alcholic drinks, tobacco cigar in 2012 prices 3975 420000 6177.238 19002.728 Monthly food expenses in 2012 prices (excl. bev., alchohol & tobacco) Monthly food expenses in 2012 prices (excl. bev., alchohol & tobacco) Monthly food expenses in 2012 prices (excl. bev., alchohol & tobacco) Monthly food expenses in 2012 prices (excl. bev., alchohol & tobacco) Monthly food expenses in 2012 prices (excl. bev., alchohol & tobacco) 3975 2018.462 1610660.625 179002.756 151510.985 monthly food expenditure in 2005/6 prices (excl. bev., alchohol & tobacco) monthly food expenditure in 2005/6 prices (excl. bev., alchohol & tobacco) monthly food expenditure in 2005/6 prices (excl. bev., alchohol & tobacco) monthly food expenditure in 2005/6 prices (excl. bev., alchohol & tobacco) monthly food expenditure in 2005/6 prices (excl. bev., alchohol & tobacco) 3975 924.69 737870.063 82004.099 69409.668 Monthly expenditure on bev., alcholic drinks, tobacco cigar in 2005/6 prices Monthly expenditure on bev., alcholic drinks, tobacco cigar in 2005/6 prices Monthly expenditure on bev., alcholic drinks, tobacco cigar in 2005/6 prices Monthly expenditure on bev., alcholic drinks, tobacco cigar in 2005/6 prices Monthly expenditure on bev., alcholic drinks, tobacco cigar in 2005/6 prices 3975 192408.891 2829.894 8705.462 Share of food (incl. bev & alch drinks) expenses in total HH consumption Share of food (incl. bev & alch drinks) expenses in total HH consumption Share of food (incl. bev & alch drinks) expenses in total HH consumption Share of food (incl. bev & alch drinks) expenses in total HH consumption Share of food (incl. bev & alch drinks) expenses in total HH consumption 3975 1.309 96.152 68.505 15.732 Share of food (exc. bev & alch drinks) expenses in total HH consumption Share of food (exc. bev & alch drinks) expenses in total HH consumption Share of food (exc. bev & alch drinks) expenses in total HH consumption Share of food (exc. bev & alch drinks) expenses in total HH consumption Share of food (exc. bev & alch drinks) expenses in total HH consumption 3975 1.309 95.991 66.133 15.996 Share of health expenses in total HH consumption Share of health expenses in total HH consumption Share of health expenses in total HH consumption Share of health expenses in total HH consumption Share of health expenses in total HH consumption 3975 90.662 1.791 7.37 Share of education expenses in total HH consumption Share of education expenses in total HH consumption Share of education expenses in total HH consumption Share of education expenses in total HH consumption Share of education expenses in total HH consumption 3975 91.018 5.147 10.111 Share of food & clothing (exc. school uniform) expenses in total HH consumption Share of food & clothing (exc. school uniform) expenses in total HH consumption Share of food & clothing (exc. school uniform) expenses in total HH consumption Share of food & clothing (exc. school uniform) expenses in total HH consumption Share of food & clothing (exc. school uniform) expenses in total HH consumption 3975 1.937 96.639 69.912 15.585 Share of non-food expenses in total HH consumption Share of non-food expenses in total HH consumption Share of non-food expenses in total HH consumption Share of non-food expenses in total HH consumption Share of non-food expenses in total HH consumption 3975 3.848 98.691 31.495 15.732 Poverty line in 2012 prices Poverty line in 2012 prices Poverty line in 2012 prices Poverty line in 2012 prices Poverty line in 2012 prices 3975 59082.152 66315.961 60466.607 1260.816 Food poverty line in 2012 constant prices Food poverty line in 2012 constant prices Food poverty line in 2012 constant prices Food poverty line in 2012 constant prices Food poverty line in 2012 constant prices 3975 46405.441 46405.441 46405.441 0.0149 Poverty line in 2005/06 constant prices Poverty line in 2005/06 constant prices Poverty line in 2005/06 constant prices Poverty line in 2005/06 constant prices Poverty line in 2005/06 constant prices 3975 28165.398 32106.24 28919.624 686.869 Food poverty line in 2005/06 constant prices Food poverty line in 2005/06 constant prices Food poverty line in 2005/06 constant prices Food poverty line in 2005/06 constant prices Food poverty line in 2005/06 constant prices 3975 21257.646 21257.646 21257.646 0.0047 HH has consumption below national poverty line - by 2012 prices HH has consumption below national poverty line - by 2012 prices HH has consumption below national poverty line - by 2012 prices HH has consumption below national poverty line - by 2012 prices HH has consumption below national poverty line - by 2012 prices 3975 1 poverty gap by 2012 prices poverty gap by 2012 prices poverty gap by 2012 prices poverty gap by 2012 prices poverty gap by 2012 prices 3975 0.75 0.134 0.179 poverty severity by 2012 prices poverty severity by 2012 prices poverty severity by 2012 prices poverty severity by 2012 prices poverty severity by 2012 prices 3975 0.562 0.05 0.0891 HH has consumption below national food poverty line - by 2012 prices HH has consumption below national food poverty line - by 2012 prices HH has consumption below national food poverty line - by 2012 prices HH has consumption below national food poverty line - by 2012 prices HH has consumption below national food poverty line - by 2012 prices 3975 1 National consumption quintile in 2012 prices National consumption quintile in 2012 prices National consumption quintile in 2012 prices National consumption quintile in 2012 prices National consumption quintile in 2012 prices 3975 1 2 3 4 5 HH has consumption below national poverty line - by 2005/6 prices HH has consumption below national poverty line - by 2005/6 prices HH has consumption below national poverty line - by 2005/6 prices HH has consumption below national poverty line - by 2005/6 prices HH has consumption below national poverty line - by 2005/6 prices 3975 1 poverty gap by 2005/6 prices poverty gap by 2005/6 prices poverty gap by 2005/6 prices poverty gap by 2005/6 prices poverty gap by 2005/6 prices 3975 0.742 0.131 0.177 poverty severity by 2005/6 prices poverty severity by 2005/6 prices poverty severity by 2005/6 prices poverty severity by 2005/6 prices poverty severity by 2005/6 prices 3975 0.551 0.0485 0.0873 HH has consumption below national food poverty line - by 2005/6 prices HH has consumption below national food poverty line - by 2005/6 prices HH has consumption below national food poverty line - by 2005/6 prices HH has consumption below national food poverty line - by 2005/6 prices HH has consumption below national food poverty line - by 2005/6 prices 3975 1 National consumption quintile in 2005/6 prices National consumption quintile in 2005/6 prices National consumption quintile in 2005/6 prices National consumption quintile in 2005/6 prices National consumption quintile in 2005/6 prices 3975 1 2 3 4 5 3975 1.309 96.152 68.505 15.732 3975 2.419 97.802 23.468 13.558 3975 91.018 8.027 11.001 Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse 3975 1.535 53.398 17.596 7.906 Poverty line expressed in 2012 prices Poverty line expressed in 2012 prices Poverty line expressed in 2012 prices Poverty line expressed in 2012 prices Poverty line expressed in 2012 prices 3975 55795.656 63602.461 57289.775 1360.686 National consumption quintile 1 threshold in 2012 prices National consumption quintile 1 threshold in 2012 prices National consumption quintile 1 threshold in 2012 prices National consumption quintile 1 threshold in 2012 prices National consumption quintile 1 threshold in 2012 prices 3975 41359.41 41359.41 41359.41 0.0047 National consumption quintile 2 threshold in 2012 prices National consumption quintile 2 threshold in 2012 prices National consumption quintile 2 threshold in 2012 prices National consumption quintile 2 threshold in 2012 prices National consumption quintile 2 threshold in 2012 prices 3975 57797.91 57797.91 57797.91 0.0118 National consumption quintile 3 threshold in 2012 prices National consumption quintile 3 threshold in 2012 prices National consumption quintile 3 threshold in 2012 prices National consumption quintile 3 threshold in 2012 prices National consumption quintile 3 threshold in 2012 prices 3975 78702.211 78702.211 78702.211 0.0147 National consumption quintile 4 threshold in 2012 prices National consumption quintile 4 threshold in 2012 prices National consumption quintile 4 threshold in 2012 prices National consumption quintile 4 threshold in 2012 prices National consumption quintile 4 threshold in 2012 prices 3975 120366.906 120366.906 120366.906 0.0288 National consumption quintile 1 threshold in 2005/6 prices National consumption quintile 1 threshold in 2005/6 prices National consumption quintile 1 threshold in 2005/6 prices National consumption quintile 1 threshold in 2005/6 prices National consumption quintile 1 threshold in 2005/6 prices 3975 26485.471 26485.471 26485.471 0.00837 National consumption quintile 2 threshold in 2005/6 prices National consumption quintile 2 threshold in 2005/6 prices National consumption quintile 2 threshold in 2005/6 prices National consumption quintile 2 threshold in 2005/6 prices National consumption quintile 2 threshold in 2005/6 prices 3975 37146.809 37146.809 37146.809 0.00905 National consumption quintile 3 threshold in 2005/6 prices National consumption quintile 3 threshold in 2005/6 prices National consumption quintile 3 threshold in 2005/6 prices National consumption quintile 3 threshold in 2005/6 prices National consumption quintile 3 threshold in 2005/6 prices 3975 50651.859 50651.859 50651.859 0.0138 National consumption quintile 4 threshold in 2005/6 prices National consumption quintile 4 threshold in 2005/6 prices National consumption quintile 4 threshold in 2005/6 prices National consumption quintile 4 threshold in 2005/6 prices National consumption quintile 4 threshold in 2005/6 prices 3975 77719.617 77719.617 77719.617 0.0215 Monthly total household expenses Monthly total household expenses Monthly total household expenses Monthly total household expenses Monthly total household expenses 3975 7642.857 4658594 271837.463 282486.779 Monthly household expenditures after adjusting for inflation Monthly household expenditures after adjusting for inflation Monthly household expenditures after adjusting for inflation Monthly household expenditures after adjusting for inflation Monthly household expenditures after adjusting for inflation 3975 3847.977 2510929.75 133020.232 143800.361 Monthly household expenditures in real prices after adjusting for regional price Monthly household expenditures in real prices after adjusting for regional price Monthly household expenditures in real prices after adjusting for regional price Monthly household expenditures in real prices after adjusting for regional price Monthly household expenditures in real prices after adjusting for regional price 3975 3853.415 2495815 132942.83 143103.098 Monthly household expenditures in market prices Monthly household expenditures in market prices Monthly household expenditures in market prices Monthly household expenditures in market prices Monthly household expenditures in market prices 3975 8273.81 4666415.5 283258.926 289242.202 Monthlt food expenditures in 2005/6, adjusted Monthlt food expenditures in 2005/6, adjusted Monthlt food expenditures in 2005/6, adjusted Monthlt food expenditures in 2005/6, adjusted Monthlt food expenditures in 2005/6, adjusted 3975 924.69 800963.367 84833.993 71678.293 Monthly frequently consumption in 2005/6, adjusted Monthly frequently consumption in 2005/6, adjusted Monthly frequently consumption in 2005/6, adjusted Monthly frequently consumption in 2005/6, adjusted Monthly frequently consumption in 2005/6, adjusted 3975 1089.562 2340978.5 34142.359 60981.079 Monthly semi-&durable expenditures in 2005/6, adjusted Monthly semi-&durable expenditures in 2005/6, adjusted Monthly semi-&durable expenditures in 2005/6, adjusted Monthly semi-&durable expenditures in 2005/6, adjusted Monthly semi-&durable expenditures in 2005/6, adjusted 3975 1598790.392 19207.84 64260.77 Poverty line in constant prices 1989 prices Poverty line in constant prices 1989 prices Poverty line in constant prices 1989 prices Poverty line in constant prices 1989 prices Poverty line in constant prices 1989 prices 3975 15188.535 17313.682 15595.26 370.402 Poverty line in nominal terms 1989 prices Poverty line in nominal terms 1989 prices Poverty line in nominal terms 1989 prices Poverty line in nominal terms 1989 prices Poverty line in nominal terms 1989 prices 3975 11463.445 11463.445 11463.445 Village Village Village Village Village 3975 1 377 187.044 109.644 household ID household ID household ID household ID household ID 3980 10310301020014 41511408020164 30924912615850.7 7372639529324.25 household size household size household size household size household size 3980 1 22 5.341 2.985 % of male in the household % of male in the household % of male in the household % of male in the household % of male in the household 3980 100 45.173 25.176 % of under 18 and 65+ in the household % of under 18 and 65+ in the household % of under 18 and 65+ in the household % of under 18 and 65+ in the household % of under 18 and 65+ in the household 3980 100 65.769 24.68 number of children under 5 in the household number of children under 5 in the household number of children under 5 in the household number of children under 5 in the household number of children under 5 in the household 3980 1 2 3 4 5 8 number of children aged 6-17 in the household number of children aged 6-17 in the household number of children aged 6-17 in the household number of children aged 6-17 in the household number of children aged 6-17 in the household 3980 1 2 3 4 5 6 7 8 9 12 number of individuals aged 18-64 in the household number of individuals aged 18-64 in the household number of individuals aged 18-64 in the household number of individuals aged 18-64 in the household number of individuals aged 18-64 in the household 3980 1 2 3 4 5 6 7 8 9 10 11 number of elderly (aged 65+) in the household number of elderly (aged 65+) in the household number of elderly (aged 65+) in the household number of elderly (aged 65+) in the household number of elderly (aged 65+) in the household 3980 1 2 3 proportion of households with orphans (father and/or mother not alive) proportion of households with orphans (father and/or mother not alive) proportion of households with orphans (father and/or mother not alive) proportion of households with orphans (father and/or mother not alive) proportion of households with orphans (father and/or mother not alive) 3980 1 proportion of households with elderly (65+) proportion of households with elderly (65+) proportion of households with elderly (65+) proportion of households with elderly (65+) proportion of households with elderly (65+) 3973 7 1 Sysmiss proportion of households with eligible elderly (65+ all districts/ 60+ karamoja) proportion of households with eligible elderly (65+ all districts/ 60+ karamoja) proportion of households with eligible elderly (65+ all districts/ 60+ karamoja) proportion of households with eligible elderly (65+ all districts/ 60+ karamoja) proportion of households with eligible elderly (65+ all districts/ 60+ karamoja) 3973 7 1 Sysmiss (max) disabled_hh (max) disabled_hh (max) disabled_hh (max) disabled_hh (max) disabled_hh 3980 1 prop of hh with no-able adults prop of hh with no-able adults prop of hh with no-able adults prop of hh with no-able adults prop of hh with no-able adults 3980 1 proportion of households with 1 member only proportion of households with 1 member only proportion of households with 1 member only proportion of households with 1 member only proportion of households with 1 member only 3980 1 age of one person household age of one person household age of one person household age of one person household age of one person household 485 3495 19 97 68.375 12.992 proportion aged under 5 in the household proportion aged under 5 in the household proportion aged under 5 in the household proportion aged under 5 in the household proportion aged under 5 in the household 3980 75 11.947 14.536 proportion aged 6-17 in the household proportion aged 6-17 in the household proportion aged 6-17 in the household proportion aged 6-17 in the household proportion aged 6-17 in the household 3980 100 34.832 24.437 proportion aged 18-64 in the household proportion aged 18-64 in the household proportion aged 18-64 in the household proportion aged 18-64 in the household proportion aged 18-64 in the household 3980 100 34.008 24.569 proportion aged 65+ in the household proportion aged 65+ in the household proportion aged 65+ in the household proportion aged 65+ in the household proportion aged 65+ in the household 3980 100 18.99 31.157 proportion children under 18 that are orphans in the household proportion children under 18 that are orphans in the household proportion children under 18 that are orphans in the household proportion children under 18 that are orphans in the household proportion children under 18 that are orphans in the household 3980 88.889 10.666 21.39 proportion of chronically ill or disabled members in the household proportion of chronically ill or disabled members in the household proportion of chronically ill or disabled members in the household proportion of chronically ill or disabled members in the household proportion of chronically ill or disabled members in the household 3980 100 11.5 23.705 age household head age household head age household head age household head age household head 3939 41 18 97 55.28 17.021 proportions of female headed households proportions of female headed households proportions of female headed households proportions of female headed households proportions of female headed households 3980 1 proportions of household heads aged under 18 proportions of household heads aged under 18 proportions of household heads aged under 18 proportions of household heads aged under 18 proportions of household heads aged under 18 3939 41 Sysmiss proportions of household heads aged 65+ proportions of household heads aged 65+ proportions of household heads aged 65+ proportions of household heads aged 65+ proportions of household heads aged 65+ 3939 41 1 Sysmiss proportions of disabled headed households proportions of disabled headed households proportions of disabled headed households proportions of disabled headed households proportions of disabled headed households 3980 1 proportions of household heads without formal education proportions of household heads without formal education proportions of household heads without formal education proportions of household heads without formal education proportions of household heads without formal education 3980 1 mean age of household members mean age of household members mean age of household members mean age of household members mean age of household members 3973 7 6.75 97 30.827 19.209 Serial Number Serial Number Serial Number Serial Number Serial Number 3902 78 1 3970 1972.401 1135.667 (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod 3980 SCG 1 VFSG actual treatment status actual treatment status actual treatment status actual treatment status actual treatment status 3902 78 Control 1 Treatment 2 Do not know SAGE Sysmiss baseline treatment group baseline treatment group baseline treatment group baseline treatment group baseline treatment group 3980 Control 1 Treatment Community ID Community ID Community ID Community ID Community ID 3980 1031030102 4151140802 3092489768.58 737263910.086 District District District District District 3980 APAC KABERAMAIDO KATAKWI KIBOGA KYENJOJO MOROTO NAKAPIRIPIRIT NEBBI County County County County County 3980 CHEKWII JONAM KABERAMAIDO KALAKI KIBOGA KWANIA MARUZI MATHENIKO MOROTO MUNICIPALITY MWENGE PADYERE PIAN TOROMA USUK Sub-County Sub-County Sub-County Sub-County Sub-County 3980 ABONGOMOLA ADUKU AKOKORO ALWA ANYARA APAC ATEGO BUGAAKI BUTIITI CHAWENTE CHEGERE ERUSSI IBUJE KABERAMAIDO TOWN COUNCIL KAKOMONGOLE KALAKI KAPEKE KAPUJAN KATOOKE TOWN COUNCIL KIBOGA TOWN COUNCIL KIGARAALE KISOJO KITOOKE KUCWINY KYARUSOZI KYENJOJO TOWN COUNCIL MAGORO NABILATUK NADUNGET NAMBEISO NDHEW NEBBI TOWN COUNCIL NYANTUNGO OCHERO OMODOI PAKWACH PAKWACH TOWN COUNCIL PANYANGO PANYIMUR RUPA SOUTH DIVISION TOROMA USUK Parish Parish Parish Parish Parish 3980 AAKUM ABALANG ABANY ABAR EAST ABAR WEST ABEDI ABINDU WARD ABOKO ABONGO ABULI ABWOKODIA ABWONG ACABA ACEGERETOLIM ACENLWORO ACHERER ACHUNGI ADEM ADOLO ADYEDA AGANGA AGONG AJAR AKALI AKERE AKETO AKOKORO AKURAO AKUYAM ALARO ALIDO ALIRA ALWOROCENG AMII- AMILO AMII-ABERIDWOGO AMOR WARD AMOR WEST AMORIGOGA AMUN AMUSIA ANGODINGODI ANWANGI ANYARA AORNGA APARISIA APIRE APOI APUUTON ASURET ATANA ATIGOLWOK ATIK ATONGTIDI ATOPI ATULE ATYAK AWILA AYABI AYAGO AYEOLYEC BAMUSUUTA WARD BARAHIIJA BARODILO BORO BUCUNI WARD BUNG BURARRO BUSANZA BUTARA BUTIITI BUZIBWEERA WARD BWENZI CAMPSWAHILI JUU CAMPSWAHILLICHIN CENTRAL WARD CHEGERE CHELEUKO ENJERU ETEKOBER FOREST WARD GANDA HAKATOMA HIMA ILEE ISANDARA JUKIA WARD KABAALE KADINYA KAFUNDA PARISH KAGAA KAGOBE KAIHURA KAKERE KAKINDO KALAKI KALOKWAMERI KAMENU KAMUDA KANYALAM KAPUJAN KASABA KASEGA KASENYI KATAMBALE KATARA WARD KAYEERA KIBIRA KIBOGA TOWN WARD KIDILANI KIGOYERA KIGUNDU KIHUMIRO KIJUMA KIKODA KINOGERO PARISH KIRONGO WARD KIRULUMBA WARD KISOJO KITONGOLE KITONYA KIVUJE KOKORIO KORITOK KORYAMO KOTHIKE KUNGU KYABAGONZA KYABARANGA KYAKATWIRE KYAMITARA KYAMUGENYI KYAMUTASA KYANYABONGO WARD KYAYIMBA KYONGERA LOBODEGI LOBUNEIT LOKAALA LOPUTUK LOTIRIR MABAALE MAGORO MAJENGO MIRAMBI MITOMA MOGOTH MORUANGIBUIN MUKALE MUKUNYU MWARO WARD MYERI PARISH NABOLITH NADUNGET NAITAKWAE NAKADELI NAKOBEKOBE NAMRWODO WARD NAMTHIN WARD NATOPOJO NEBBI HILL WARD NSINDE NTOMA NYACARA WARD NYAIBANDA NYAKAGEI NYAKISI PARISH NYAMABUGA OGWIL OGWOLO OLAGO OLOLANGO OLYEJO OMID OMINYA OMWIBALE ONGEMA ONGICIA ONGOCENG OPETA ORIMAI OWEKO OWINY PACEGO PACHAKA PADOLO PAJUR PAKIA PALATAU PAMINYA LOWER PAMINYA UPPER PAMITU PAMORA UPPER PAROKETO PAYERA POKWERO PUNUATAR PUPU PUVUNGU CENTRAL PUVUNGU WEST RAMOGI RUBANGO RUHOKO RUPA RWAITENGYA RWAMUKOORA SWAGERE TAROGALI TEBOKE TEI-ORO THATHA WARD TOKORA TOROMA USUK VURR Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse 3980 1.535 53.398 17.601 7.91 Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse 3980 1.389 42.718 17.509 7.779 Village Village Village Village Village 3980 1 377 187.178 109.613 serial number serial number serial number serial number serial number 21257 1 4194 2091.21 1204.802 household ID household ID household ID household ID household ID 21257 10310301020014 41511408020164 30720383179470.8 7408626485515.8 member id member id member id member id member id 21257 1 22 4.007 2.635 hh1 q2:age of respondent hh1 q2:age of respondent hh1 q2:age of respondent hh1 q2:age of respondent hh1 q2:age of respondent 21257 98 23.614 22.186 how was date of birth recorded? how was date of birth recorded? how was date of birth recorded? how was date of birth recorded? how was date of birth recorded? 21256 1 1 national id / passport 2 birth certificate 3 voter’s card 4 immunisation card 5 baptism card 6 event calendar 7 self-reported 8 97 others 98 dk/na Sysmiss hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? 844 AUNT AUNT RECALL AUNTY RECALLED BEING TOLD BY THE HUSBAND BIRTH REGISTER BOOK BOOK RECORD BOOK RECORD KEPT BOOKS RECORDS BROTHER BROTHER RECALLED BROTHER RECODED CANT REMEMBER CARETAKER CERTIFICATE OF REGISTRATION CHAIRMAN CHILD HEALTH CARD CODE GOT FROM HOUSEHOLD REGIS DAD DAUGHTER DAUGHTER IN-LAW TO THE HHOLD DAUGHTER IN-LAW TO THE HHOLD DAUGHTER INLAW DAUGHTER REMEMBERED DRIVING PERMIT FAMILY BOOK FAMILY GRACE FAMILY RECORD BOOK FAMILY RECORDS FAMILY REG FAMILY REGISTER FAMILY REGISTER BOOK FATHER FATHER RECAL FATHER RECALE FATHER RECALL FATHER RECALLED FATHER RECORDS FATHERRECAL FRIEND RECALLED G.MUM GRAND GRAND MOM GRAND MOTHER GRAND MOTHER RECALL GRAND MOTHER RECALLED GRAND MOTHER REMEMBERED GRAND MUM GRANDCHILD RECALLED GRANDFATHER GRANDMOTHER GRANDMOTHER CALL GRANDMOTHER RECALLED GRANDMOTHER REPORTED GRANDMUM GRANDY GUARDIAN RECALLED HE WROTE ALL THE CHILDRENS BI HEALTH CARD HIDDEN REPORT HOME BIRTH REGISTER HOME BORTH REGISTER HOME RECORD HOME REGISTER HOSPITAL BOOK RECORDS HOUSEHOLD REGISTER WAS USED HUSBAND RECALLED IDENTITY CARD IMMUNISATION BOOK LC RECORDS LCI ROSTER MARRIAGE CARD MEDICAL FORM MOTHER MOTHER RECAL MOTHER RECALL MOTHER RECALLED MOTHERS RECALL MOTHER`S RECALL MRM MRM CARD MUM NEIGHBOR RECALLED NRM NRM CARD NRM MEMBERSHIP CARD NRM REGOSTER NRN CARD OCEN AND OPIO ARE TWINS OTHER RECALL PARENT/ BROTHER PARTY CARD PARTY ID REAL WIFE RECAL RECAL WIFE RECALL RECALL AUNT RECALL BROTHER RECALL BY GRANDMOTHER RECALL FATHER RECALL GRANDMOTHER RECALL MOTHER RECALL SON RECALL TRADITIONAL BIRTH ATTE RECALLED RECALLED BY GRANDMOTHER RECALLED BY THE GRANDMOTHER M RECALLED BY THE MOTHER RECAll RECORD BOOK RECORDED DATA RECORDS REGISTER REPORTED BY GRANDFATHER ROCALL SISTER SOME ONE RECALL SOMEBODY RESPONDED SON SON RECALL SON RECALLED SPOUSE UNCLE VILAGE HOUSEHOLD REGISTER VILLAGE HOUSE HOLD REGISTER VILLAGE HOUSEHOLD REGISTER VORTERS REPORT VOTERS RECIEPT WIFE WIFE RECALL WIFE RECALLED WRITTEN WROTE ALL HIS CHILDRENS BIRTH hh1 q5:gender hh1 q5:gender hh1 q5:gender hh1 q5:gender hh1 q5:gender 21257 1 male 2 female 98 dk/na hh1 q6:what is [name]’s relation to the head of house? hh1 q6:what is [name]’s relation to the head of house? hh1 q6:what is [name]’s relation to the head of house? hh1 q6:what is [name]’s relation to the head of house? hh1 q6:what is [name]’s relation to the head of house? 21257 1 head 2 spouse 3 son/daughter 4 grand child 5 father/mother 6 brother/sister 7 nephew/niece 8 son/daughter-in-law 9 brother/sister-in-law 10 father/mother-in-law 11 grand father/ mother 12 uncle/ aunt 13 servant and their relatives 77 other 97 others 98 dk/na hh1 q7:what is [name]’s current marital status? hh1 q7:what is [name]’s current marital status? hh1 q7:what is [name]’s current marital status? hh1 q7:what is [name]’s current marital status? hh1 q7:what is [name]’s current marital status? 21257 1 married monogamous 2 married polygamous 3 widow / widower 4 divorced / separated 5 never married 98 hh1_q8:what is the id code of [name]’s spouse? hh1_q8:what is the id code of [name]’s spouse? hh1_q8:what is the id code of [name]’s spouse? hh1_q8:what is the id code of [name]’s spouse? hh1_q8:what is the id code of [name]’s spouse? 4806 16451 1 99 12.991 31.082 hh1_q9:is [name]’s father still alive? hh1_q9:is [name]’s father still alive? hh1_q9:is [name]’s father still alive? hh1_q9:is [name]’s father still alive? hh1_q9:is [name]’s father still alive? 12031 9226 1 yes 2 no 98 don't know Sysmiss hh1_q10:what is the id code of [name]’s father? hh1_q10:what is the id code of [name]’s father? hh1_q10:what is the id code of [name]’s father? hh1_q10:what is the id code of [name]’s father? hh1_q10:what is the id code of [name]’s father? 9809 11448 1 2 3 4 5 6 7 8 9 10 12 13 98 99 not in the roster Sysmiss hh1 q11:what is the highest level of education completed by [name]’s father? hh1 q11:what is the highest level of education completed by [name]’s father? hh1 q11:what is the highest level of education completed by [name]’s father? hh1 q11:what is the highest level of education completed by [name]’s father? hh1 q11:what is the highest level of education completed by [name]’s father? 11245 10012 1 no education 2 p1 3 p2 4 p3 5 p4 6 p5 7 p6 8 p7 9 s1 10 s2 11 s3 12 s4 13 s5 14 s6 15 post sec. training/diploma 16 undergraduate degree 17 postgraduate degree 18 post primary vocational training 97 don’t know 98 Sysmiss hh1_q12 is [name]’s mother still alive? hh1_q12 is [name]’s mother still alive? hh1_q12 is [name]’s mother still alive? hh1_q12 is [name]’s mother still alive? hh1_q12 is [name]’s mother still alive? 12031 9226 1 yes 2 no 98 don't know Sysmiss hh1_q13: what is the id code of [name]’s mother? hh1_q13: what is the id code of [name]’s mother? hh1_q13: what is the id code of [name]’s mother? hh1_q13: what is the id code of [name]’s mother? hh1_q13: what is the id code of [name]’s mother? 11178 10079 1 2 3 4 5 6 7 8 9 10 11 14 20 21 97 98 99 not in the roster Sysmiss hh1 q14:what is the highest level of education completed by [name]’s mother? hh1 q14:what is the highest level of education completed by [name]’s mother? hh1 q14:what is the highest level of education completed by [name]’s mother? hh1 q14:what is the highest level of education completed by [name]’s mother? hh1 q14:what is the highest level of education completed by [name]’s mother? 11704 9553 1 no education 2 p1 3 p2 4 p3 5 p4 6 p5 7 p6 8 p7 9 s1 10 s2 11 s3 12 s4 13 s5 14 s6 15 post sec. training/diploma 16 undergraduate degree 17 postgraduate degree 18 post primary vocational training 97 don’t know Sysmiss hh1 q15:did [name] sleep under a mosquito net last night? hh1 q15:did [name] sleep under a mosquito net last night? hh1 q15:did [name] sleep under a mosquito net last night? hh1 q15:did [name] sleep under a mosquito net last night? hh1 q15:did [name] sleep under a mosquito net last night? 21257 1 yes 2 no 97 others 98 don't know hh1 q16:is this net currently treated? hh1 q16:is this net currently treated? hh1 q16:is this net currently treated? hh1 q16:is this net currently treated? hh1 q16:is this net currently treated? 7844 13413 1 yes, permanet (long lasting net) 2 yes, net bought within last 12 months 3 yes, treated in the last 12 months 4 not treated 98 don’t know Sysmiss hh1 q17:does [name] have a blanket under which [name] can sleep when it gets co hh1 q17:does [name] have a blanket under which [name] can sleep when it gets co hh1 q17:does [name] have a blanket under which [name] can sleep when it gets co hh1 q17:does [name] have a blanket under which [name] can sleep when it gets co hh1 q17:does [name] have a blanket under which [name] can sleep when it gets co 21251 6 1 yes, own 2 yes, shared 3 no 98 dk/na Sysmiss hh1 q18: how many meals did [name] eat yesterday? hh1 q18: how many meals did [name] eat yesterday? hh1 q18: how many meals did [name] eat yesterday? hh1 q18: how many meals did [name] eat yesterday? hh1 q18: how many meals did [name] eat yesterday? 21257 99 4.772 16.673 hh1 q19: is [name] disable in any way? hh1 q19: is [name] disable in any way? hh1 q19: is [name] disable in any way? hh1 q19: is [name] disable in any way? hh1 q19: is [name] disable in any way? 21257 1 yes 2 no 98 dk/na hh1 q20: was [name] residing in this household 12 months ago? hh1 q20: was [name] residing in this household 12 months ago? hh1 q20: was [name] residing in this household 12 months ago? hh1 q20: was [name] residing in this household 12 months ago? hh1 q20: was [name] residing in this household 12 months ago? 21257 1 same household 2 new-born into this household 3 different household/ same community 4 different household/ different community 98 dk/na hh1 q21: why did [name] move from his hh1 q21: why did [name] move from his hh1 q21: why did [name] move from his hh1 q21: why did [name] move from his hh1 q21: why did [name] move from his 399 20858 1 for education 2 back from school/studies 3 for employment 4 transfer of head of household 5 previous household could not afford to keep him/her 6 death of parent/guardian 7 death of spouse 8 marriage 9 new household 10 retrenchment 11 retirement 12 decided to resettle 13 found new agricultural land 14 starting a non-agricultural business 15 refugee/asylum seeker 97 other 98 dk/na Sysmiss hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others 55 ABANDONED BY THEIR PARENTS ATTEND TO PATIENT BABY TO HOUSE HELP BROGHT HIM TO HELP CALLED TO LOOK AFTER THE HOME AS T CHANGE IN FAMILY CONFLICT DISASTER BURNT MY HOUSE DIVORCE DIVORCED DIVORCED FROM HUSBAND DOMESTIC VIOLENCE FAMILY BREAK UP FOLLOWED THE MOTHER FOLLOWED THE MOTHER WHO GOT MARRIE HER MOTHER WAS RETURNING TO SCHOOL HIS SECOND HOUSEHOLD JOIN PARENTS MIGRATED TO HELP THEIR CHILDREN MIGRATED TO HELP THEIR GRAND MOTHE MOVED WITH MOTHER MY HOUSE GOT BURNT NEW BORN PARENTS DIVORCED RETURN TO FAMILY SEPARATION TAKING CARE OF SICK GRANDMOTHER THE GRAND MOTHER SEND HER BACK TO TO HELP FATHER /VISITING TO HELP FATHER/VISITING TO HELP THE GRANDMOTHER TO TAKE CARE OF HER CHILDREN TREATING AND TAKING CARE OF MU MUM TREATMENT VISIT WENT VISITING hh2 q1:is [name] eligible? (5 years and older) hh2 q1:is [name] eligible? (5 years and older) hh2 q1:is [name] eligible? (5 years and older) hh2 q1:is [name] eligible? (5 years and older) hh2 q1:is [name] eligible? (5 years and older) 21257 1 yes 2 no 98 dk/na hh2 q2:can [name] read or write with understanding in any language? hh2 q2:can [name] read or write with understanding in any language? hh2 q2:can [name] read or write with understanding in any language? hh2 q2:can [name] read or write with understanding in any language? hh2 q2:can [name] read or write with understanding in any language? 18124 3133 1 unable to read and write 2 able to read only 3 able to read and write 4 uses braille 98 dk/na Sysmiss hh2 q3:has [name] ever attended any formal school? hh2 q3:has [name] ever attended any formal school? hh2 q3:has [name] ever attended any formal school? hh2 q3:has [name] ever attended any formal school? hh2 q3:has [name] ever attended any formal school? 18124 3133 1 never attended 2 attended school in the past 3 currently attending school 98 dk/na Sysmiss hh2 q4:what grade is [name] currently attending? hh2 q4:what grade is [name] currently attending? hh2 q4:what grade is [name] currently attending? hh2 q4:what grade is [name] currently attending? hh2 q4:what grade is [name] currently attending? 7445 13812 1 no education 2 p1 3 p2 4 p3 5 p4 6 p5 7 p6 8 p7 9 s1 10 s2 11 s3 12 s4 13 s5 14 s6 15 post sec. training/diploma 16 undergraduate degree 17 postgraduate degree 18 post primary vocational training 98 dk/na Sysmiss hh2 q5:what grade did [name] attend in the last academic year? hh2 q5:what grade did [name] attend in the last academic year? hh2 q5:what grade did [name] attend in the last academic year? hh2 q5:what grade did [name] attend in the last academic year? hh2 q5:what grade did [name] attend in the last academic year? 7445 13812 1 no education 2 p1 3 p2 4 p3 5 p4 6 p5 7 p6 8 p7 9 s1 10 s2 11 s3 12 s4 13 s5 14 s6 15 post sec. training/diploma 16 undergraduate degree 17 postgraduate degree 18 post primary vocational training 98 dk/na Sysmiss hh2 q6:who owns the school? hh2 q6:who owns the school? hh2 q6:who owns the school? hh2 q6:who owns the school? hh2 q6:who owns the school? 7445 13812 1 gov’t 2 private 3 religious /ngo 97 other report 98 dk/na Sysmiss hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? 7 COMMUNITY COMMUNITY COLLEGE KINGDOM PARENTS SCHOOL RESULTS WERE DETAINED hh2 q7:in the last 30 scheduled school days, how many days did [name] miss? hh2 q7:in the last 30 scheduled school days, how many days did [name] miss? hh2 q7:in the last 30 scheduled school days, how many days did [name] miss? hh2 q7:in the last 30 scheduled school days, how many days did [name] miss? hh2 q7:in the last 30 scheduled school days, how many days did [name] miss? 7306 13951 1 2 3 4 5 6 7 8 9 10 11 12 14 15 16 17 18 20 21 22 24 30 98 dk/na Sysmiss hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul 2246 19011 1 not able to afford 2 too far away 3 poor school quality 4 had to help at home 5 had to help with farm work 6 had to help with family business 7 sick child 8 education not useful 9 parents did not want 10 not willing to attend 11 too young 12 orphaned 13 displaced 14 disabled 15 insecurity 16 school not available 17 culturally unacceptable 97 other 98 dk/na Sysmiss hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul 241 BAD ROADS BAD WEATHER BOOKS STILL MISSING BOOKS WERE STILL MISSING BOUGHT SCHOOL UNIFORM BURIAL CHAMGE OF SCHOOL CHARTECHISM CHASED AWAY FROM SCHOOL CLOTHES WERE DIRTY CONFIRMATION DEATH DEATH AT HOME DEATH IN A RELATIVES HOME DEATH OF GRANDFATHER DEATH OF GRANDMOTHER DEATHE OF GRANDFATHER DIDN`T HAVE SCHOOL UNIFORM BECAUSE I HADN`T YET BOUGHT DINT HAVE A PEN DINT WASH DIRTY CLOTHES DIRTY UNIFORM DONT KNOW DURING CAMPAIGNS THEY FEARED THEY MAY BE ABDUCTE HER ESCAPED FROM HOME TO GO VISIT AUNIITIE FEES FINISHED EXAMS AND WAS WAITING FOR TIME TO PICK REPORT FOOD HUNGER GONE TO VISIT GRANDMOTHER HAD BURNT THE HSE HAD DIRTY UNIFORM HAD GONE TO IBUJE TO COLLECT CLOTHES HAD GONE TO SEE THE MOTHER HAD GONE TO VISIT HER MUM HAD NO BOOKS HAD NO SCHOOL FEES HAD NO SCHOOL UNIFORM HAD NOT PAID DEVELOPMEN FEE HAD NOT PAID DEVELOPMENT FEE HAD TO GO TO WORK TO GET MONAY FOR BOOKS HAD TO TAKE CARE OF ME AT THE HOSPITAL HE HAD NOT YET RETURNED FROM HOLIDAY HELP TO TAKE CARE OF THE CATTLE HIS UNIFORM WAS DIRTY HIS UNIFORM WAS STILL WET HUNGER HUNTING IS AWAY FROM HOME ITEMS NOT AVAILABLE LIKE BOOKS LACK OF BOOKS LACK OF BOOKS AND PENCILS LACK OF SCHOLASTIC MATERIAL LACK OF SCHOLATIC MATERIA LACK OF UNIFORM LOOKING FOR MONEY LOST A FAMILY LOST A RELATIVE LOST RELATIVE MENTAL PROBLEM NO BOOK NO BOOKS NO BOOKS AND PEN NO FOOD NO FOOD (HUNGER) NO SOAP TO WASH UNIFORM NO TEACHER NURSERY NO UNIFORM NO UNIFORM, NO FOOD NO UNIFORMS NO UNIFORN NOT AVAILABLE NOT WASHED THE UNIFORM PLE PRAYERS RAIN RAINFALL RAINFALL FELL THAT WE COULD NOT GO TO SCHOOL RANI REPORT SCHOLASTIC MATENALS SCHOOL CLOSED DUE TO FLOODS SCHOOL FEES SCHOOL HAS BEEN CLOSED UNTIL THE TOILET IS BUILD SCHOOL WAS CLOSED DUE TO POOR HYGIENE SELL RATE TO GET MONEY TO BUY BOOKS SHOOL FEES SICK SICK MOTHER SOME ITEMS LIKE BOOKS WERE NOT AVAILABLE TEACHER SICK TEACHERS NOT AVAILABLE TEACHERS NOT AVAILABLE ON FIRST DAYS OF TERM TO PICK SOME REQUIREMENTS TOO MUCH RAIN UNIFORM UNIFORM DIRITY UNIFORM DIRTY UNIFORM NOT DRY UNIFORM WAS DIRTY UNKNOWN UNWANTED UNIFORM VILLAGE HAD FLOODED AND ROUTES WERE IMPOSIBLE WAITING FOR SCHOOL FEES WANT FOR BURIAL WENT TO VISIT A RELATIVE hh2 q9:why has [name] not attended school? hh2 q9:why has [name] not attended school? hh2 q9:why has [name] not attended school? hh2 q9:why has [name] not attended school? hh2 q9:why has [name] not attended school? 5063 16194 1 not able to afford 2 too far away 3 poor school quality 4 had to help at home 5 had to help with farm work 6 had to help with family business 7 sick child 8 education not useful 9 parents did not want 10 not willing to attend 11 too young 12 orphaned 13 displaced 14 disabled 15 insecurity 16 school not available 17 culturally unacceptable 97 other 98 dk/na Sysmiss hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? 22 BABY SITTER CAN'T TELL CHILDREN IN NURSERY CULTURALLY UNACCEPTABLE DEATH OF SPONSOR DEATH OF THE FATHER DIDNT SEE THE IMPORTANCE OF EDUCA DISABLED DONT KNOW HAS EPILEPSY SO HE CAN'T ATTEND S HELP TAKE CARE OF THE TWINS AT HO MENTAL DISTURBENT NO REASON NO SCHOOLS PARENTS WERE DEAD PLANNING TO TAKE HIM NEXT YEAR REFUSED TO GO TOSCHOOL RESULTS WERE DETAINED SICKNESS, CALAMITY, IN THE FAMILY STILL YOUNG UNKNOWN hh2 q10:what was the highest grade that [name] completed? hh2 q10:what was the highest grade that [name] completed? hh2 q10:what was the highest grade that [name] completed? hh2 q10:what was the highest grade that [name] completed? hh2 q10:what was the highest grade that [name] completed? 5648 15609 1 no education 2 p1 3 p2 4 p3 5 p4 6 p5 7 p6 8 p7 9 s1 10 s2 11 s3 12 s4 13 s5 14 s6 15 post sec. training/diploma 16 undergraduate degree 17 postgraduate degree 18 post primary vocational training 98 dk/na Sysmiss hh2 q11:why did [name] leave school? hh2 q11:why did [name] leave school? hh2 q11:why did [name] leave school? hh2 q11:why did [name] leave school? hh2 q11:why did [name] leave school? 5646 15611 1 completed desired schooling 2 further schooling not available 3 not able to afford 4 too far away 5 had to help at home 6 had to help with farm work 7 death of sponsor 8 had to help with family business 9 poor school quality 10 parents did not want 11 not willing to further attend 12 poor academic progress 13 sickness/calamity in family 14 pregnancy 15 marriage 97 other 98 dk/na Sysmiss hh2 q11:why did [name] leave school?- other hh2 q11:why did [name] leave school?- other hh2 q11:why did [name] leave school?- other hh2 q11:why did [name] leave school?- other hh2 q11:why did [name] leave school?- other 107 BEWITCHED CHANGE IN HOUSEHOLD CHILD WANT TO GO TO BOARDING SCHOOL CULTURAL BELIEF THAT GIRLS SHOULDNT CULTURALLY NOT ALLOWED CULTURALLY UNACCEPTABLE CULTURALLY UNACCEPTED CULTURALLY UNACEPTABLE CULTURE DEATH OF PARENT DISABILITY DISABILITY OF THE FATHER DISABLED DISABLED LAME DISPLACEMENT DOESNT KNOW AND WIFE IS ABSENT DURI DOMESTIC VIOLENCE DON'T KNOW DONT KNOW DULL DULL IN CLASS EDUCATED GIRLS GET SPOILS EVIL SPIRIT FEES HAD A MENTAL HISTORY HOLIDAY I DNT SEE THE IMPORTANCE OF EDUCATI IGNORANCE IMPRISON- HE WAS ARRESTED FOR IMPRG INSECURITY INSECURITY IN THE AREA DISRUPTED HI INSECURITY MOVED FROM NORTHERN UGAN INSERGENCIES INSECURITY INSTABILITY JOIN ARMY LACK OF SCHOOL FEES LAZY CHILD MENTALLY DIFICULTY MIGRATION MIGRATION MADE HER FAIL TO CATCH UP MY FATHER MARRIED ANOTHER WIFE AND NEED TO FINISH NURSERY FIRST THEN J NO UNIFORM NOT WILLING TO ATTEND ORPHANED PEER GROUPS POOR PERFORMANCE AT PRIMARY LEVEL REBEL ACTIVITY REFUSED RESPONSIBILITIES SICKNESS THE FAMILY WAS RICH AND SAW NO NEED THERE WAS WAR IN TESO THEY CHASED AWAY LANGI FROM BUGANDA TOO YOUNG TRAVELLED WITH MOTHER FOR LONG UNKNOWN REASON WAITING FOR HER RESULTS WAITING FOR RESULT WANTS THE BRAIN HEAD TO RELAX BEFOR WAR WARS WARS IN CONGO WEAK IN LEARNING WIFE DOESNT KNOW WORK WORKING hh3 q1:during the past 30 days did [name] suffer from any illness or injury, th hh3 q1:during the past 30 days did [name] suffer from any illness or injury, th hh3 q1:during the past 30 days did [name] suffer from any illness or injury, th hh3 q1:during the past 30 days did [name] suffer from any illness or injury, th hh3 q1:during the past 30 days did [name] suffer from any illness or injury, th 21257 1 yes 2 no 98 dk/na hh3 q2:for how many days did [name] have to stop his/her usual activities due t hh3 q2:for how many days did [name] have to stop his/her usual activities due t hh3 q2:for how many days did [name] have to stop his/her usual activities due t hh3 q2:for how many days did [name] have to stop his/her usual activities due t hh3 q2:for how many days did [name] have to stop his/her usual activities due t 4490 16767 1 98 10.242 11.84 hh3 q3:was anyone consulted (e.g. a doctor, nurse, pharmacist or traditional he hh3 q3:was anyone consulted (e.g. a doctor, nurse, pharmacist or traditional he hh3 q3:was anyone consulted (e.g. a doctor, nurse, pharmacist or traditional he hh3 q3:was anyone consulted (e.g. a doctor, nurse, pharmacist or traditional he hh3 q3:was anyone consulted (e.g. a doctor, nurse, pharmacist or traditional he 4490 16767 1 yes 2 no 98 dk/na Sysmiss hh3 q4:why was no one consulted for the major illness or injury? hh3 q4:why was no one consulted for the major illness or injury? hh3 q4:why was no one consulted for the major illness or injury? hh3 q4:why was no one consulted for the major illness or injury? hh3 q4:why was no one consulted for the major illness or injury? 1073 20184 1 illness mild 2 treated illness at home 3 facility too far 4 no money for consultation 5 too dangerous to go 6 available facilities are costly 7 no qualified staff present 8 staff attitude not good 9 too busy / long waiting time 10 facility is inaccessible 11 facility is closed 12 facility is destroyed 13 drugs not available 97 other 98 dk/na Sysmiss hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? 26 GAVE FIRST AID FOR NOSE BLEEDING GIVEN DRUGS HAS TRIED BEFORE AND DOES NOT GET CHANGE JUST GIVEN BIRTH SO SHE COULD NOT TAKE THEM TO HOSPITAL MOTHER HAD TRAVELLED NO ENERGY TO MOVE NO FACILITY TO USE TO GO TO HOSPITAL SINCE CANT USE BICYCLE NO MEANS TO GET THERE NO ONE COULD TAKE HER NO ONE TO TAKE ME NO ONE TO TAKE ME TO THE HOSPITAL NO ONE TO TAKE ME TO THE HOSPITALS NO ONE TO TAKE THEM NO ONE WOULD LEAD HIM TO THE FACILITY BECAUSE HE IS BLIND NO STRENGH TO RIDE A BICYCLE TO TAKE ME THERE NO STRENTH TO GO TO THE HOSPITAL NO TRANSPORT NONE CAN TAKE TO HOSPITAL PARENT LAZY TO TAKE CHILD TO HOSPITAL WAS TOO SICK AND COULD NOT SIT ON THE BICYCE hh3 q5:where did [name] go for the first consultation during the past 30 days? hh3 q5:where did [name] go for the first consultation during the past 30 days? hh3 q5:where did [name] go for the first consultation during the past 30 days? hh3 q5:where did [name] go for the first consultation during the past 30 days? hh3 q5:where did [name] go for the first consultation during the past 30 days? 3342 17915 1 neighbour/friend 2 community health worker 3 homapak drug distributor 4 ordinary shop 5 drug shop/pharmacy 6 private clinic 7 private hospital 8 health unit government 9 health unit ngo 10 hospital government 11 hospital ngo 12 traditional 13 = school nurse 97 other 98 dk/na Sysmiss hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - 27 BROKE THE LEG DISPENSARY FATHER GNLD DISTRIBUTOR LACOR MISSION HOSPITAL LOCAL HERBS MISSION MISSION HOSPITAL MISSION MENGO MISSIONARY MISSIONARY HOSPITAL RELIGIOUS CHURCH LEADER hh3 q6a:how far was this place where consultation was sought - kms? hh3 q6a:how far was this place where consultation was sought - kms? hh3 q6a:how far was this place where consultation was sought - kms? hh3 q6a:how far was this place where consultation was sought - kms? hh3 q6a:how far was this place where consultation was sought - kms? 3319 17938 1 1.25 1.5 1.6 2 2.12 2.4 2.5 3 3.1 3.2 3.4 3.5 3.6 3.75 4 4.2 4.3 4.5 4.8 5 5.8 6 6.2 6.4 7 7.2 7.5 8 8.5 9 9.4 9.6 10 10.8 11 11.2 12 12.5 12.6 12.8 13 14 14.4 14.5 15 16 16.2 17 17.6 18 19 19.1 19.2 19.5 20 21 22 22.4 23 24 25 25.6 26 27 27.2 28 28.8 30 30.4 31 32 35 35.2 36 37 38.2 38.4 40 41.6 44 44.8 45 46.4 47 48 50 54 55 56 56.8 57.6 58 60 60.8 64 66.5 69 70 71 72 74 79 80 85 90 92 94 98 100 110 120 123.2 138 157 175 200 255 300 320 327 400 410 480 515 998 dk/na Sysmiss hh3 q6b:how far was this place where consultation was sought - time(minutes)? hh3 q6b:how far was this place where consultation was sought - time(minutes)? hh3 q6b:how far was this place where consultation was sought - time(minutes)? hh3 q6b:how far was this place where consultation was sought - time(minutes)? hh3 q6b:how far was this place where consultation was sought - time(minutes)? 3319 17938 1 2 3 4 5 6 7 8 10 12 15 19 20 25 28 30 35 36 37 40 45 46 50 60 65 70 75 80 90 96 100 120 130 140 150 160 170 180 190 200 210 220 240 250 260 280 300 320 360 390 420 480 540 580 600 605 660 720 740 998 dk/na Sysmiss hh3 q7:what was the cost of this consultation, including any medicine prescribe hh3 q7:what was the cost of this consultation, including any medicine prescribe hh3 q7:what was the cost of this consultation, including any medicine prescribe hh3 q7:what was the cost of this consultation, including any medicine prescribe hh3 q7:what was the cost of this consultation, including any medicine prescribe 3319 17938 9999999998 1156978527.708 3199098956.905 hh3 q8:what was the cost of this consultation, including any medicine prescribe hh3 q8:what was the cost of this consultation, including any medicine prescribe hh3 q8:what was the cost of this consultation, including any medicine prescribe hh3 q8:what was the cost of this consultation, including any medicine prescribe hh3 q8:what was the cost of this consultation, including any medicine prescribe 3319 17938 9999999998 376633155.588 1904057360.047 hh4_q1:is [name] eligible? (5 years and older) hh4_q1:is [name] eligible? (5 years and older) hh4_q1:is [name] eligible? (5 years and older) hh4_q1:is [name] eligible? (5 years and older) hh4_q1:is [name] eligible? (5 years and older) 21257 1 yes 2 no 97 others 98 dk/na hh4_q2:during the last 7 days has [name] worked for payment in cash/in-kind out hh4_q2:during the last 7 days has [name] worked for payment in cash/in-kind out hh4_q2:during the last 7 days has [name] worked for payment in cash/in-kind out hh4_q2:during the last 7 days has [name] worked for payment in cash/in-kind out hh4_q2:during the last 7 days has [name] worked for payment in cash/in-kind out 18125 3132 1 yes 2 no 98 don't know Sysmiss hh4_q3:during the past 7 days has [name] worked on household owned land or with hh4_q3:during the past 7 days has [name] worked on household owned land or with hh4_q3:during the past 7 days has [name] worked on household owned land or with hh4_q3:during the past 7 days has [name] worked on household owned land or with hh4_q3:during the past 7 days has [name] worked on household owned land or with 18125 3132 1 yes 2 no 98 don't know Sysmiss hh4_q4:during the past 7 days has [name] worked in his/her own business or busi hh4_q4:during the past 7 days has [name] worked in his/her own business or busi hh4_q4:during the past 7 days has [name] worked in his/her own business or busi hh4_q4:during the past 7 days has [name] worked in his/her own business or busi hh4_q4:during the past 7 days has [name] worked in his/her own business or busi 18125 3132 1 yes 2 no 98 don't know Sysmiss hh4_q5:even if [name] did not work in the last 7 days for some reason, did [nam hh4_q5:even if [name] did not work in the last 7 days for some reason, did [nam hh4_q5:even if [name] did not work in the last 7 days for some reason, did [nam hh4_q5:even if [name] did not work in the last 7 days for some reason, did [nam hh4_q5:even if [name] did not work in the last 7 days for some reason, did [nam 7488 13769 1 yes 2 no 98 dk/na Sysmiss hh4_q6:has [name] looked for and/or available for work in the last 7 days? hh4_q6:has [name] looked for and/or available for work in the last 7 days? hh4_q6:has [name] looked for and/or available for work in the last 7 days? hh4_q6:has [name] looked for and/or available for work in the last 7 days? hh4_q6:has [name] looked for and/or available for work in the last 7 days? 7122 14135 1 yes 2 no Sysmiss hh4_q7:what is the main reason that [name] did not look for a job in the last 7 hh4_q7:what is the main reason that [name] did not look for a job in the last 7 hh4_q7:what is the main reason that [name] did not look for a job in the last 7 hh4_q7:what is the main reason that [name] did not look for a job in the last 7 hh4_q7:what is the main reason that [name] did not look for a job in the last 7 7337 13920 1 student 2 household duties 3 too young 4 too old/retired 5 disabled 6 sick 7 waiting for a reply from employer 8 waiting for a recall from employer 9 waiting for busy season 97 other Sysmiss hh4_q8a1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8a1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8a1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8a1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8a1:during the last 7 days, how many hours did [name] work on each day - d 10188 11069 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8a2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8a2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8a2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8a2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8a2:during the last 7 days, how many hours did [name] work on each day - h 10188 11069 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 24 98 dk/na Sysmiss hh4_q8b1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8b1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8b1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8b1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8b1:during the last 7 days, how many hours did [name] work on each day - d 10188 11069 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8b2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8b2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8b2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8b2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8b2:during the last 7 days, how many hours did [name] work on each day - h 10188 11069 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 98 dk/na Sysmiss hh4_q8c1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8c1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8c1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8c1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8c1:during the last 7 days, how many hours did [name] work on each day - d 10188 11069 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8c2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8c2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8c2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8c2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8c2:during the last 7 days, how many hours did [name] work on each day - h 10188 11069 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 98 dk/na Sysmiss hh4_q8d1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8d1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8d1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8d1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8d1:during the last 7 days, how many hours did [name] work on each day - d 10188 11069 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8d2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8d2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8d2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8d2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8d2:during the last 7 days, how many hours did [name] work on each day - h 10188 11069 1 2 3 4 5 6 7 8 9 10 11 12 13 14 17 18 98 dk/na Sysmiss hh4_q8e1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8e1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8e1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8e1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8e1:during the last 7 days, how many hours did [name] work on each day - d 10188 11069 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8e2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8e2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8e2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8e2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8e2:during the last 7 days, how many hours did [name] work on each day - h 10188 11069 1 2 3 4 5 6 7 8 9 10 11 12 13 14 16 17 98 dk/na Sysmiss hh4_q8f1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8f1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8f1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8f1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8f1:during the last 7 days, how many hours did [name] work on each day - d 10187 11070 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8f2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8f2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8f2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8f2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8f2:during the last 7 days, how many hours did [name] work on each day - h 10188 11069 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 98 dk/na Sysmiss hh4_q8g1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8g1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8g1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8g1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8g1:during the last 7 days, how many hours did [name] work on each day - d 10188 11069 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8g2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8g2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8g2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8g2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8g2:during the last 7 days, how many hours did [name] work on each day - h 10188 11069 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 24 98 dk/na Sysmiss hh4 q9:what was [name]’s main employment status during the last 7 days? hh4 q9:what was [name]’s main employment status during the last 7 days? hh4 q9:what was [name]’s main employment status during the last 7 days? hh4 q9:what was [name]’s main employment status during the last 7 days? hh4 q9:what was [name]’s main employment status during the last 7 days? 10188 11069 1 employer 2 own account worker 3 unpaid family worker 4 working on home farm 5 gov’t permanent 6 gov’t temporary 7 private permanent 8 private temporary/casual 9 student 98 Sysmiss hh4 q10:what was the nature of [name]’s work (for main employment status) tha hh4 q10:what was the nature of [name]’s work (for main employment status) tha hh4 q10:what was the nature of [name]’s work (for main employment status) tha hh4 q10:what was the nature of [name]’s work (for main employment status) tha hh4 q10:what was the nature of [name]’s work (for main employment status) tha 7604 13653 1 armed forces 11 legislators and senior officials 12 corporate managers 13 general managers skilled agricultural and fishery workers 21 physical, mathematical and engineering science professionals 22 life science and health professionals 23 teaching professionals 24 other professionals craft and related trade workers 31 physical and engineering science associate professionals 32 life science and health associate professionals 33 teaching associate professionals 34 other associate professionals plant and machine operators and assemblers 41 office clerks 42 customer service clerks elementary occupations 51 personal and protective service workers 52 models, sales persons and demonstrators armed forces 61 market oriented skilled agricultural and fishery workers 62 subsistence agricultural and fishery workers 71 extraction and building trade workers 72 metal, machinery and related trades workers 73 precision, handicraft, printing and related trades workers 74 other craft and related trades workers 81 stationary plant and related operators 82 machine operators and assemblers 83 drivers and mobile plant operators 91 sales and services elementary occupations 92 agricultural, fishery and related labourers 93 labourers in mining, construction, manufacturing and transport 97 others 98 dk/na Sysmiss hh4 q10:what was the nature of [name]’s work (for main employment status) that hh4 q11:how many months did [name] work at this main activity during the last 1 hh4 q11:how many months did [name] work at this main activity during the last 1 hh4 q11:how many months did [name] work at this main activity during the last 1 hh4 q11:how many months did [name] work at this main activity during the last 1 hh4 q11:how many months did [name] work at this main activity during the last 1 7725 13532 98 11.871 17.565 hh4 q12:in addition to the main occupation, did [name] also work in any subsidi hh4 q12:in addition to the main occupation, did [name] also work in any subsidi hh4 q12:in addition to the main occupation, did [name] also work in any subsidi hh4 q12:in addition to the main occupation, did [name] also work in any subsidi hh4 q12:in addition to the main occupation, did [name] also work in any subsidi 10188 11069 1 yes 2 no 98 dk/n/a Sysmiss hh4 q13:what was the nature of [name]’s subsidiary occupation during the last hh4 q13:what was the nature of [name]’s subsidiary occupation during the last hh4 q13:what was the nature of [name]’s subsidiary occupation during the last hh4 q13:what was the nature of [name]’s subsidiary occupation during the last hh4 q13:what was the nature of [name]’s subsidiary occupation during the last 3175 18082 1 armed forces 11 legislators and senior officials 12 corporate managers 13 general managers skilled agricultural and fishery workers 21 physical, mathematical and engineering science professionals 22 life science and health professionals 23 teaching professionals 24 other professionals craft and related trade workers 31 physical and engineering science associate professionals 32 life science and health associate professionals 33 teaching associate professionals 34 other associate professionals plant and machine operators and assemblers 41 office clerks 42 customer service clerks elementary occupations 51 personal and protective service workers 52 models, sales persons and demonstrators armed forces 61 market oriented skilled agricultural and fishery workers 62 subsistence agricultural and fishery workers 71 extraction and building trade workers 72 metal, machinery and related trades workers 73 precision, handicraft, printing and related trades workers 74 other craft and related trades workers 81 stationary plant and related operators 82 machine operators and assemblers 83 drivers and mobile plant operators 91 sales and services elementary occupations 92 agricultural, fishery and related labourers 93 labourers in mining, construction, manufacturing and transport 97 others 98 dk/na Sysmiss hh4 q13:what was the nature of [name]’s subsidiary occupation during the last 7 hh4 q14a:what were the main and secondary employment statuses of [name] during t hh4 q14a:what were the main and secondary employment statuses of [name] during t hh4 q14a:what were the main and secondary employment statuses of [name] during t hh4 q14a:what were the main and secondary employment statuses of [name] during t hh4 q14a:what were the main and secondary employment statuses of [name] during t 17815 3442 1 employer 2 own account worker 3 unpaid family worker 4 working on home farm 5 gov’t permanent 6 gov’t temporary/casual 7 private permanent 8 private temporary/casual 9 full time student 10 pensioner/retired 11 children not at school 12 none 97 other 98 Sysmiss hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during 13 BABY SITTER BROKER BUSINESS HOUSEHOLD DUTIES HOUSEWIFE INSENE JUST DELIVERED NOT KNOWN PRISON SERVANT SICK hh4 q14b:what were the main and secondary employment statuses of [name] during t hh4 q14b:what were the main and secondary employment statuses of [name] during t hh4 q14b:what were the main and secondary employment statuses of [name] during t hh4 q14b:what were the main and secondary employment statuses of [name] during t hh4 q14b:what were the main and secondary employment statuses of [name] during t 17813 3444 1 employer 2 own account worker 3 unpaid family worker 4 working on home farm 5 gov’t permanent 6 gov’t temporary/casual 7 private permanent 8 private temporary/casual 9 full time student 10 pensioner/retired 11 children not at school 12 none 97 other 98 Sysmiss hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during 43 . DIG FOR MONEY FISHING FISHING- SMALL SCALE MAKING LOCAL BREWS MINING GOLD ORANGE GARDEN PASTOR REVERED SALE OF CHARCOAL SELING LABOUR SELLING FISH SELLING LABOR SELLING LABOUR TRADITIONAL BIRTH ATTENDANT hh4 q15:is [name]’s aged 17 years or below or 50 years and above? hh4 q15:is [name]’s aged 17 years or below or 50 years and above? hh4 q15:is [name]’s aged 17 years or below or 50 years and above? hh4 q15:is [name]’s aged 17 years or below or 50 years and above? hh4 q15:is [name]’s aged 17 years or below or 50 years and above? 21257 1 yes 2 no 98 dk/na hh4 q16:during the past 7 days how many hours did [name] spend fetching water f hh4 q16:during the past 7 days how many hours did [name] spend fetching water f hh4 q16:during the past 7 days how many hours did [name] spend fetching water f hh4 q16:during the past 7 days how many hours did [name] spend fetching water f hh4 q16:during the past 7 days how many hours did [name] spend fetching water f 12427 8830 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 20 21 22 23 24 25 26 27 28 35 40 42 49 56 60 62 63 66 70 998 dk/na Sysmiss hh4 q17:during the past 7 days how many hours did [name] spend fetching firewoo hh4 q17:during the past 7 days how many hours did [name] spend fetching firewoo hh4 q17:during the past 7 days how many hours did [name] spend fetching firewoo hh4 q17:during the past 7 days how many hours did [name] spend fetching firewoo hh4 q17:during the past 7 days how many hours did [name] spend fetching firewoo 12431 8826 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 20 21 22 24 28 30 35 36 40 42 45 56 998 dk/na Sysmiss hh4 q18:during the past 7 days how many hours did [name] spend cooking for the hh4 q18:during the past 7 days how many hours did [name] spend cooking for the hh4 q18:during the past 7 days how many hours did [name] spend cooking for the hh4 q18:during the past 7 days how many hours did [name] spend cooking for the hh4 q18:during the past 7 days how many hours did [name] spend cooking for the 12432 8825 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 20 21 22 23 24 25 26 27 28 29 30 31 32 35 37 40 42 46 49 59 63 70 998 dk/na Sysmiss hh4 q19:during the past 7 days how many hours did [name] spend caring for child hh4 q19:during the past 7 days how many hours did [name] spend caring for child hh4 q19:during the past 7 days how many hours did [name] spend caring for child hh4 q19:during the past 7 days how many hours did [name] spend caring for child hh4 q19:during the past 7 days how many hours did [name] spend caring for child 12431 8826 1 2 3 4 5 6 7 8 9 10 11 12 14 15 16 18 20 21 22 24 25 28 30 35 36 37 38 40 42 48 49 56 63 70 84 91 998 dk/na Sysmiss hh4 q20:during the past 7 days how many hours did [name] spend doing other chor hh4 q20:during the past 7 days how many hours did [name] spend doing other chor hh4 q20:during the past 7 days how many hours did [name] spend doing other chor hh4 q20:during the past 7 days how many hours did [name] spend doing other chor hh4 q20:during the past 7 days how many hours did [name] spend doing other chor 12432 8825 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 19 20 21 24 25 28 30 35 36 40 42 44 49 56 998 dk/na Sysmiss hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during 6 21251 1 baby sitter 2 broker 3 household duties 4 housewife 5 sick Sysmiss hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during 15 21242 1 dig for money 2 fishing 3 fishing- small scale 4 mining gold 5 orange garden 6 pastor 7 selling labor 8 selling labour 9 traditional birth attendant Sysmiss hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others 24 21233 1 abandoned by their parents 2 baby to house help 3 change in family 4 divorce 5 divorced from husband 6 family break up 7 join parents 8 moved with mother 9 new born 10 parents divorced 11 return to family 12 separation 13 to help father /visiting 14 to help father/visiting 15 treating and taking care of mu mum 16 treatment 17 visit Sysmiss hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? 4 21253 1 community 2 parents school 3 results were detained Sysmiss hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul 122 21135 1 bad roads 2 books still missing 3 books were still missing 4 bought school uniform 5 burial 6 chamge of school 7 chartechism 8 chased away from school 9 clothes were dirty 10 death 11 death at home 12 death of grandmother 13 didn`t have school uniform because i hadn`t yet bought 14 dint wash 15 dirty clothes 16 dirty uniform 17 fees 18 finished exams and was waiting for time to pick report 19 gone to visit grandmother 20 had burnt the hse 21 had gone to see the mother 22 had no books 23 had no school uniform 24 his uniform was dirty 25 his uniform was still wet 26 hunger 27 is away from home 28 items not available like books 29 lack of books 30 lack of uniform 31 lost a family 32 lost a relative 33 lost relative 34 no books 35 no books and pen 36 no uniform 37 no uniforms 38 not available 39 not washed the uniform 40 prayers 41 rainfall 42 rainfall fell that we could not go to school 43 report 44 scholastic matenals 45 school fees 46 school was closed due to poor hygiene 47 sick 48 sick mother 49 some items like books were not available 50 teachers not available 51 too much rain 52 uniform 53 uniform dirity 54 uniform dirty 55 uniform was dirty 56 village had flooded and routes were imposible 57 waiting for school fees Sysmiss hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? 9 21248 1 baby sitter 2 can't tell 3 culturally unacceptable 4 death of the father 5 disabled 6 dont know 7 parents were dead 8 results were detained 9 sickness, calamity, in the family 10 still young Sysmiss hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? 11 21246 1 has tried before and does not get change 2 mother had travelled 3 no energy to move 4 no facility to use to go to hospital since cant use bicycle 5 no one to take me 6 no one to take them 7 no transport 8 was too sick and could not sit on the bicyce Sysmiss hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - 20 21237 1 broke the leg 2 dispensary 3 father 4 lacor mission hospital 5 local herbs 6 mission 7 mission hospital 8 mission mengo 9 missionary 10 missionary hospital 11 religious church leader Sysmiss hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? 844 20413 1 AUNT 2 AUNT RECALL 3 AUNTY RECALLED 4 BEING TOLD BY THE HUSBAND 5 BIRTH REGISTER 6 BOOK 7 BOOK RECORD 8 BOOK RECORD KEPT 9 BOOKS RECORDS 10 BROTHER 11 BROTHER RECALLED 12 BROTHER RECODED 13 CANT REMEMBER 14 CARETAKER 15 CERTIFICATE OF REGISTRATION 16 CHAIRMAN 17 CHILD HEALTH CARD 18 CODE GOT FROM HOUSEHOLD REGIS 19 DAD 20 DAUGHTER 21 DAUGHTER IN-LAW TO THE HHOLD 22 DAUGHTER IN-LAW TO THE HHOLD 23 DAUGHTER INLAW 24 DAUGHTER REMEMBERED 25 DRIVING PERMIT 26 FAMILY BOOK 27 FAMILY GRACE 28 FAMILY RECORD BOOK 29 FAMILY RECORDS 30 FAMILY REG 31 FAMILY REGISTER 32 FAMILY REGISTER BOOK 33 FATHER 34 FATHER RECAL 35 FATHER RECALE 36 FATHER RECALL 37 FATHER RECALLED 38 FATHER RECORDS 39 FATHERRECAL 40 FRIEND RECALLED 41 G.MUM 42 GRAND 43 GRAND MOM 44 GRAND MOTHER 45 GRAND MOTHER RECALL 46 GRAND MOTHER RECALLED 47 GRAND MOTHER REMEMBERED 48 GRAND MUM 49 GRANDCHILD RECALLED 50 GRANDFATHER 51 GRANDMOTHER 52 GRANDMOTHER CALL 53 GRANDMOTHER RECALLED 54 GRANDMOTHER REPORTED 55 GRANDMUM 56 GRANDY 57 GUARDIAN RECALLED 58 HE WROTE ALL THE CHILDRENS BI 59 HEALTH CARD 60 HIDDEN REPORT 61 HOME BIRTH REGISTER 62 HOME BORTH REGISTER 63 HOME RECORD 64 HOME REGISTER 65 HOSPITAL BOOK RECORDS 66 HOUSEHOLD REGISTER WAS USED 67 HUSBAND RECALLED 68 IDENTITY CARD 69 IMMUNISATION BOOK 70 LC RECORDS 71 LCI ROSTER 72 MARRIAGE CARD 73 MEDICAL FORM 74 MOTHER 75 MOTHER RECAL 76 MOTHER RECALL 77 MOTHER RECALLED 78 MOTHERS RECALL 79 MOTHER`S RECALL 80 MRM 81 MRM CARD 82 MUM 83 NEIGHBOR RECALLED 84 NRM 85 NRM CARD 86 NRM MEMBERSHIP CARD 87 NRM REGOSTER 88 NRN CARD 89 OCEN AND OPIO ARE TWINS 90 OTHER RECALL 91 PARENT/ BROTHER 92 PARTY CARD 93 PARTY ID 94 REAL WIFE 95 RECAL 96 RECAL WIFE 97 RECALL 98 RECALL AUNT 99 RECALL BROTHER 100 RECALL BY GRANDMOTHER 101 RECALL FATHER 102 RECALL GRANDMOTHER 103 RECALL MOTHER 104 RECALL SON 105 RECALL TRADITIONAL BIRTH ATTE 106 RECALLED 107 RECALLED BY GRANDMOTHER 108 RECALLED BY THE GRANDMOTHER M 109 RECALLED BY THE MOTHER 110 RECAll 111 RECORD BOOK 112 RECORDED DATA 113 RECORDS 114 REGISTER 115 REPORTED BY GRANDFATHER 116 ROCALL 117 SISTER 118 SOME ONE RECALL 119 SOMEBODY RESPONDED 120 SON 121 SON RECALL 122 SON RECALLED 123 SPOUSE 124 UNCLE 125 VILAGE HOUSEHOLD REGISTER 126 VILLAGE HOUSE HOLD REGISTER 127 VILLAGE HOUSEHOLD REGISTER 128 VORTERS REPORT 129 VOTERS RECIEPT 130 WIFE 131 WIFE RECALL 132 WIFE RECALLED 133 WRITTEN 134 WROTE ALL HIS CHILDRENS BIRTH Sysmiss date of interview - day date of interview - day date of interview - day date of interview - day date of interview - day 21203 54 1 31 15.023 9.074 date of interview - month date of interview - month date of interview - month date of interview - month date of interview - month 21150 107 8 9 10 11 Sysmiss date of interview - year date of interview - year date of interview - year date of interview - year date of interview - year 21257 2012 result of interview result of interview result of interview result of interview result of interview 21257 1 interviewed 2 interview incomplete 3 household not found 4 household members temporarily not at home 5 household refused 6 household moved permanently 97 others corrected age corrected age corrected age corrected age corrected age 9 21248 36 63 47.778 9.08 District District District District District 21257 APAC KABERAMAIDO KATAKWI KIBOGA KYENJOJO MOROTO NAKAPIRIPIRIT NEBBI District District District District District 21257 1 APAC 2 KABERAMAIDO 3 KATAKWI 4 KIBOGA 5 KYENJOJO 6 MOROTO 7 NAKAPIRIPIRIT 8 NEBBI household size household size household size household size household size 21257 1 22 7.009 2.954 gender gender gender gender gender 21257 1 21257 1 21257 1 2 3 4 5 6 7 8 9 10 12 21257 1 2 3 4 5 6 7 8 9 10 12 14 % of male in the household % of male in the household % of male in the household % of male in the household % of male in the household 21257 100 47.25 19.325 under 5 member under 5 member under 5 member under 5 member under 5 member 21242 15 1 Sysmiss 5-17 age member 5-17 age member 5-17 age member 5-17 age member 5-17 age member 21242 15 1 Sysmiss under 18 age member under 18 age member under 18 age member under 18 age member under 18 age member 21242 15 1 Sysmiss 18-64 age (adult) member 18-64 age (adult) member 18-64 age (adult) member 18-64 age (adult) member 18-64 age (adult) member 21242 15 1 Sysmiss over 65 age member over 65 age member over 65 age member over 65 age member over 65 age member 21242 15 1 Sysmiss eligible elderly member (65+/60+karamoja) eligible elderly member (65+/60+karamoja) eligible elderly member (65+/60+karamoja) eligible elderly member (65+/60+karamoja) eligible elderly member (65+/60+karamoja) 21242 15 1 Sysmiss age member age member age member age member age member 21242 15 97 23.561 22.105 mean age of household members mean age of household members mean age of household members mean age of household members mean age of household members 21242 15 6.75 97 23.561 12.213 21250 7 1 Sysmiss 21250 7 1 Sysmiss 21250 7 1 Sysmiss proportion of households with elderly (65+) proportion of households with elderly (65+) proportion of households with elderly (65+) proportion of households with elderly (65+) proportion of households with elderly (65+) 21250 7 1 Sysmiss proportion of households with eligible elderly (65+ all districts/ 60+ karamoja) proportion of households with eligible elderly (65+ all districts/ 60+ karamoja) proportion of households with eligible elderly (65+ all districts/ 60+ karamoja) proportion of households with eligible elderly (65+ all districts/ 60+ karamoja) proportion of households with eligible elderly (65+ all districts/ 60+ karamoja) 21250 7 1 Sysmiss number of children under 5 in the household number of children under 5 in the household number of children under 5 in the household number of children under 5 in the household number of children under 5 in the household 21257 1 2 3 4 5 8 number of children aged 6-17 in the household number of children aged 6-17 in the household number of children aged 6-17 in the household number of children aged 6-17 in the household number of children aged 6-17 in the household 21257 1 2 3 4 5 6 7 8 9 12 number of individuals aged 18-64 in the household number of individuals aged 18-64 in the household number of individuals aged 18-64 in the household number of individuals aged 18-64 in the household number of individuals aged 18-64 in the household 21257 1 2 3 4 5 6 7 8 9 10 11 number of elderly (aged 65+) in the household number of elderly (aged 65+) in the household number of elderly (aged 65+) in the household number of elderly (aged 65+) in the household number of elderly (aged 65+) in the household 21257 1 2 3 proportion aged under 5 in the household proportion aged under 5 in the household proportion aged under 5 in the household proportion aged under 5 in the household proportion aged under 5 in the household 21257 75 14.729 13.847 proportion aged 6-17 in the household proportion aged 6-17 in the household proportion aged 6-17 in the household proportion aged 6-17 in the household proportion aged 6-17 in the household 21257 100 41.864 20.411 proportion aged 18-64 in the household proportion aged 18-64 in the household proportion aged 18-64 in the household proportion aged 18-64 in the household proportion aged 18-64 in the household 21257 100 34.153 18.458 proportion aged 65+ in the household proportion aged 65+ in the household proportion aged 65+ in the household proportion aged 65+ in the household proportion aged 65+ in the household 21257 100 9.183 18.339 % of under 18 and 65+ in the household % of under 18 and 65+ in the household % of under 18 and 65+ in the household % of under 18 and 65+ in the household % of under 18 and 65+ in the household 21257 100 65.776 18.487 orphan member orphan member orphan member orphan member orphan member 21257 1 proportion of households with orphans (father and/or mother not alive) proportion of households with orphans (father and/or mother not alive) proportion of households with orphans (father and/or mother not alive) proportion of households with orphans (father and/or mother not alive) proportion of households with orphans (father and/or mother not alive) 21257 1 21257 1 2 3 4 5 6 7 8 9 10 proportion children under 18 that are orphans in the household proportion children under 18 that are orphans in the household proportion children under 18 that are orphans in the household proportion children under 18 that are orphans in the household proportion children under 18 that are orphans in the household 21257 88.889 11.577 21.774 prop of children under 18 that are orphans prop of children under 18 that are orphans prop of children under 18 that are orphans prop of children under 18 that are orphans prop of children under 18 that are orphans 12030 9227 1 Sysmiss disabled member disabled member disabled member disabled member disabled member 21257 1 21257 1 21257 1 2 3 4 5 6 7 8 9 proportion of chronically ill or disabled members in the household proportion of chronically ill or disabled members in the household proportion of chronically ill or disabled members in the household proportion of chronically ill or disabled members in the household proportion of chronically ill or disabled members in the household 21257 100 8.115 15.798 21257 1 21257 1 prop of hh with no-able adults prop of hh with no-able adults prop of hh with no-able adults prop of hh with no-able adults prop of hh with no-able adults 21257 1 21257 1 21257 1 21257 1 2 3 4 5 proportion of households with 1 member only proportion of households with 1 member only proportion of households with 1 member only proportion of households with 1 member only proportion of households with 1 member only 21257 1 age of one person household age of one person household age of one person household age of one person household age of one person household 485 20772 19 97 68.375 12.992 3945 17312 18 97 55.262 17.022 age household head age household head age household head age household head age household head 21063 194 18 97 52.468 15.891 21257 1 proportions of female headed households proportions of female headed households proportions of female headed households proportions of female headed households proportions of female headed households 21257 1 3945 17312 Sysmiss proportions of household heads aged under 18 proportions of household heads aged under 18 proportions of household heads aged under 18 proportions of household heads aged under 18 proportions of household heads aged under 18 21063 194 Sysmiss 3945 17312 1 Sysmiss proportions of household heads aged 65+ proportions of household heads aged 65+ proportions of household heads aged 65+ proportions of household heads aged 65+ proportions of household heads aged 65+ 21063 194 1 Sysmiss 21257 1 proportions of disabled headed households proportions of disabled headed households proportions of disabled headed households proportions of disabled headed households proportions of disabled headed households 21257 1 21257 1 proportions of household heads without formal education proportions of household heads without formal education proportions of household heads without formal education proportions of household heads without formal education proportions of household heads without formal education 21257 1 21242 15 1 under 5 2 5 to 9 3 10 to 14 4 15 to 19 5 20 to 24 6 25 to 29 7 30 to 34 8 35 to 39 9 40 to 44 10 45 to 49 11 50 to 54 12 55 to 59 13 60 to 64 14 65 to 69 15 70 to 74 16 75 to 79 17 80 to 84 18 85 to 89 19 90 plus Sysmiss age_group==under 5 age_group==under 5 age_group==under 5 age_group==under 5 age_group==under 5 21242 15 1 Sysmiss age_group==5 to 9 age_group==5 to 9 age_group==5 to 9 age_group==5 to 9 age_group==5 to 9 21242 15 1 Sysmiss age_group==10 to 14 age_group==10 to 14 age_group==10 to 14 age_group==10 to 14 age_group==10 to 14 21242 15 1 Sysmiss age_group==15 to 19 age_group==15 to 19 age_group==15 to 19 age_group==15 to 19 age_group==15 to 19 21242 15 1 Sysmiss age_group==20 to 24 age_group==20 to 24 age_group==20 to 24 age_group==20 to 24 age_group==20 to 24 21242 15 1 Sysmiss age_group==25 to 29 age_group==25 to 29 age_group==25 to 29 age_group==25 to 29 age_group==25 to 29 21242 15 1 Sysmiss age_group==30 to 34 age_group==30 to 34 age_group==30 to 34 age_group==30 to 34 age_group==30 to 34 21242 15 1 Sysmiss age_group==35 to 39 age_group==35 to 39 age_group==35 to 39 age_group==35 to 39 age_group==35 to 39 21242 15 1 Sysmiss age_group==40 to 44 age_group==40 to 44 age_group==40 to 44 age_group==40 to 44 age_group==40 to 44 21242 15 1 Sysmiss age_group==45 to 49 age_group==45 to 49 age_group==45 to 49 age_group==45 to 49 age_group==45 to 49 21242 15 1 Sysmiss age_group==50 to 54 age_group==50 to 54 age_group==50 to 54 age_group==50 to 54 age_group==50 to 54 21242 15 1 Sysmiss age_group==55 to 59 age_group==55 to 59 age_group==55 to 59 age_group==55 to 59 age_group==55 to 59 21242 15 1 Sysmiss age_group==60 to 64 age_group==60 to 64 age_group==60 to 64 age_group==60 to 64 age_group==60 to 64 21242 15 1 Sysmiss age_group==65 to 69 age_group==65 to 69 age_group==65 to 69 age_group==65 to 69 age_group==65 to 69 21242 15 1 Sysmiss age_group==70 to 74 age_group==70 to 74 age_group==70 to 74 age_group==70 to 74 age_group==70 to 74 21242 15 1 Sysmiss age_group==75 to 79 age_group==75 to 79 age_group==75 to 79 age_group==75 to 79 age_group==75 to 79 21242 15 1 Sysmiss age_group==80 to 84 age_group==80 to 84 age_group==80 to 84 age_group==80 to 84 age_group==80 to 84 21242 15 1 Sysmiss age_group==85 to 89 age_group==85 to 89 age_group==85 to 89 age_group==85 to 89 age_group==85 to 89 21242 15 1 Sysmiss age_group==90 plus age_group==90 plus age_group==90 plus age_group==90 plus age_group==90 plus 21242 15 1 Sysmiss (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod 21257 SCG 1 VFSG actual treatment status actual treatment status actual treatment status actual treatment status actual treatment status 20936 321 Control 1 Treatment 2 Do not know SAGE Sysmiss baseline treatment group baseline treatment group baseline treatment group baseline treatment group baseline treatment group 21257 Control 1 Treatment Community ID Community ID Community ID Community ID Community ID 21257 1031030102 4151140802 3072037161.203 740862583.477 County County County County County 21257 CHEKWII JONAM KABERAMAIDO KALAKI KIBOGA KWANIA MARUZI MATHENIKO MOROTO MUNICIPALITY MWENGE PADYERE PIAN TOROMA USUK Sub-County Sub-County Sub-County Sub-County Sub-County 21257 ABONGOMOLA ADUKU AKOKORO ALWA ANYARA APAC ATEGO BUGAAKI BUTIITI CHAWENTE CHEGERE ERUSSI IBUJE KABERAMAIDO TOWN COUNCIL KAKOMONGOLE KALAKI KAPEKE KAPUJAN KATOOKE TOWN COUNCIL KIBOGA TOWN COUNCIL KIGARAALE KISOJO KITOOKE KUCWINY KYARUSOZI KYENJOJO TOWN COUNCIL MAGORO NABILATUK NADUNGET NAMBEISO NDHEW NEBBI TOWN COUNCIL NYANTUNGO OCHERO OMODOI PAKWACH PAKWACH TOWN COUNCIL PANYANGO PANYIMUR RUPA SOUTH DIVISION TOROMA USUK Parish Parish Parish Parish Parish 21257 AAKUM ABALANG ABANY ABAR EAST ABAR WEST ABEDI ABINDU WARD ABOKO ABONGO ABULI ABWOKODIA ABWONG ACABA ACEGERETOLIM ACENLWORO ACHERER ACHUNGI ADEM ADOLO ADYEDA AGANGA AGONG AJAR AKALI AKERE AKETO AKOKORO AKURAO AKUYAM ALARO ALIDO ALIRA ALWOROCENG AMII- AMILO AMII-ABERIDWOGO AMOR WARD AMOR WEST AMORIGOGA AMUN AMUSIA ANGODINGODI ANWANGI ANYARA AORNGA APARISIA APIRE APOI APUUTON ASURET ATANA ATIGOLWOK ATIK ATONGTIDI ATOPI ATULE ATYAK AWILA AYABI AYAGO AYEOLYEC BAMUSUUTA WARD BARAHIIJA BARODILO BORO BUCUNI WARD BUNG BURARRO BUSANZA BUTARA BUTIITI BUZIBWEERA WARD BWENZI CAMPSWAHILI JUU CAMPSWAHILLICHIN CENTRAL WARD CHEGERE CHELEUKO ENJERU ETEKOBER FOREST WARD GANDA HAKATOMA HIMA ILEE ISANDARA JUKIA WARD KABAALE KADINYA KAFUNDA PARISH KAGAA KAGOBE KAIHURA KAKERE KAKINDO KALAKI KALOKWAMERI KAMENU KAMUDA KANYALAM KAPUJAN KASABA KASEGA KASENYI KATAMBALE KATARA WARD KAYEERA KIBIRA KIBOGA TOWN WARD KIDILANI KIGOYERA KIGUNDU KIHUMIRO KIJUMA KIKODA KINOGERO PARISH KIRONGO WARD KIRULUMBA WARD KISOJO KITONGOLE KITONYA KIVUJE KOKORIO KORITOK KORYAMO KOTHIKE KUNGU KYABAGONZA KYABARANGA KYAKATWIRE KYAMITARA KYAMUGENYI KYAMUTASA KYANYABONGO WARD KYAYIMBA KYONGERA LOBODEGI LOBUNEIT LOKAALA LOPUTUK LOTIRIR MABAALE MAGORO MAJENGO MIRAMBI MITOMA MOGOTH MORUANGIBUIN MUKALE MUKUNYU MWARO WARD MYERI PARISH NABOLITH NADUNGET NAITAKWAE NAKADELI NAKOBEKOBE NAMRWODO WARD NAMTHIN WARD NATOPOJO NEBBI HILL WARD NSINDE NTOMA NYACARA WARD NYAIBANDA NYAKAGEI NYAKISI PARISH NYAMABUGA OGWIL OGWOLO OLAGO OLOLANGO OLYEJO OMID OMINYA OMWIBALE ONGEMA ONGICIA ONGOCENG OPETA ORIMAI OWEKO OWINY PACEGO PACHAKA PADOLO PAJUR PAKIA PALATAU PAMINYA LOWER PAMINYA UPPER PAMITU PAMORA UPPER PAROKETO PAYERA POKWERO PUNUATAR PUPU PUVUNGU CENTRAL PUVUNGU WEST RAMOGI RUBANGO RUHOKO RUPA RWAITENGYA RWAMUKOORA SWAGERE TAROGALI TEBOKE TEI-ORO THATHA WARD TOKORA TOROMA USUK VURR Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse 21257 1.535 53.398 18.282 7.878 Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse 21257 1.389 42.718 18.198 7.759 Village Village Village Village Village 21257 1 377 186.847 109.789 serial number serial number serial number serial number serial number 8143 3 4194 2136.633 1213.493 household id household id household id household id household id 8143 10310301020014 41511408020164 30846440752458.7 7262117905087.18 member id member id member id member id member id 8143 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 hh1 q2:age of respondent hh1 q2:age of respondent hh1 q2:age of respondent hh1 q2:age of respondent hh1 q2:age of respondent 8143 6 7 8 9 10 11 12 13 14 15 16 17 how was date of birth recorded? how was date of birth recorded? how was date of birth recorded? how was date of birth recorded? how was date of birth recorded? 8143 1 national id / passport 2 birth certificate 3 voter’s card 4 immunisation card 5 baptism card 6 event calendar 7 self-reported 97 others 98 dk/na hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? 370 AUNT AUNT RECALL AUNTY RECALLED BIRTH REGISTER BOOK BOOK RECORD BOOKS RECORDS BROTHER BROTHER RECALLED BROTHER RECODED CANT REMEMBER CARETAKER CHAIRMAN CHILD HEALTH CARD CODE GOT FROM HOUSEHOLD REGIS DAUGHTER IN-LAW TO THE HHOLD DAUGHTER INLAW FAMILY BOOK FAMILY RECORD BOOK FAMILY RECORDS FAMILY REG FAMILY REGISTER BOOK FATHER FATHER RECAL FATHER RECALE FATHER RECALL FATHER RECALLED FATHER RECORDS FATHERRECAL GRAND GRAND MOM GRAND MOTHER GRAND MOTHER REMEMBERED GRANDCHILD RECALLED GRANDFATHER GRANDMOTHER GRANDMOTHER RECALLED GRANDMOTHER REPORTED GRANDMUM GRANDY GUARDIAN RECALLED HE WROTE ALL THE CHILDRENS BI HEALTH CARD HIDDEN REPORT HOME BIRTH REGISTER HOME BORTH REGISTER HOME REGISTER HOUSEHOLD REGISTER WAS USED LC RECORDS LCI ROSTER MEDICAL FORM MOTHER MOTHER RECALL MOTHER RECALLED MOTHERS RECALL MOTHER`S RECALL NRM CARD OTHER RECALL PARENT/ BROTHER RECAL RECALL RECALL AUNT RECALL BY GRANDMOTHER RECALL FATHER RECALL GRANDMOTHER RECALL MOTHER RECALLED RECALLED BY GRANDMOTHER RECALLED BY THE MOTHER RECORD BOOK RECORDED DATA RECORDS REGISTER REPORTED BY GRANDFATHER ROCALL SISTER SON UNCLE VILAGE HOUSEHOLD REGISTER VILLAGE HOUSE HOLD REGISTER VILLAGE HOUSEHOLD REGISTER WRITTEN hh1 q5:gender hh1 q5:gender hh1 q5:gender hh1 q5:gender hh1 q5:gender 8143 1 male 2 female 98 dk/na hh1 q6:what is [name]'s relation to the head of house? hh1 q6:what is [name]'s relation to the head of house? hh1 q6:what is [name]'s relation to the head of house? hh1 q6:what is [name]'s relation to the head of house? hh1 q6:what is [name]'s relation to the head of house? 8143 1 head 2 spouse 3 son/daughter 4 grand child 5 father/mother 6 brother/sister 7 nephew/niece 8 son/daughter-in-law 9 brother/sister-in-law 10 father/mother-in-law 11 grand father/ mother 12 uncle/ aunt 13 servant and their relatives 77 other 97 others 98 dk/na hh1 q7:what is [name]'s current marital status? hh1 q7:what is [name]'s current marital status? hh1 q7:what is [name]'s current marital status? hh1 q7:what is [name]'s current marital status? hh1 q7:what is [name]'s current marital status? 8143 1 married monogamous 2 married polygamous 3 widow / widower 4 divorced / separated 5 never married 98 hh1_q8:what is the id code of [name]'s spouse? hh1_q8:what is the id code of [name]'s spouse? hh1_q8:what is the id code of [name]'s spouse? hh1_q8:what is the id code of [name]'s spouse? hh1_q8:what is the id code of [name]'s spouse? 17 8126 1 99 31.294 44.587 hh1_q9:is [name]'s father still alive? hh1_q9:is [name]'s father still alive? hh1_q9:is [name]'s father still alive? hh1_q9:is [name]'s father still alive? hh1_q9:is [name]'s father still alive? 8143 1 yes 2 no 98 don't know hh1_q10:what is the id code of [name]'s father? hh1_q10:what is the id code of [name]'s father? hh1_q10:what is the id code of [name]'s father? hh1_q10:what is the id code of [name]'s father? hh1_q10:what is the id code of [name]'s father? 6300 1843 1 2 3 4 5 6 7 8 9 10 12 98 99 not in the roster Sysmiss hh1 q11:what is the highest level of education completed by [name]'s father? hh1 q11:what is the highest level of education completed by [name]'s father? hh1 q11:what is the highest level of education completed by [name]'s father? hh1 q11:what is the highest level of education completed by [name]'s father? hh1 q11:what is the highest level of education completed by [name]'s father? 7492 651 1 no education 2 p1 3 p2 4 p3 5 p4 6 p5 7 p6 8 p7 9 s1 10 s2 11 s3 12 s4 13 s5 14 s6 15 post sec. training/diploma 16 undergraduate degree 17 postgraduate degree 18 post primary vocational training 97 don’t know 98 Sysmiss hh1_q12 is [name]'s mother still alive? hh1_q12 is [name]'s mother still alive? hh1_q12 is [name]'s mother still alive? hh1_q12 is [name]'s mother still alive? hh1_q12 is [name]'s mother still alive? 8143 1 yes 2 no 98 don't know hh1_q13: what is the id code of [name]'s mother? hh1_q13: what is the id code of [name]'s mother? hh1_q13: what is the id code of [name]'s mother? hh1_q13: what is the id code of [name]'s mother? hh1_q13: what is the id code of [name]'s mother? 7412 731 1 2 3 4 5 6 7 8 9 10 11 98 99 not in the roster Sysmiss hh1 q14:what is the highest level of education completed by [name]'s mother? hh1 q14:what is the highest level of education completed by [name]'s mother? hh1 q14:what is the highest level of education completed by [name]'s mother? hh1 q14:what is the highest level of education completed by [name]'s mother? hh1 q14:what is the highest level of education completed by [name]'s mother? 7865 278 1 no education 2 p1 3 p2 4 p3 5 p4 6 p5 7 p6 8 p7 9 s1 10 s2 11 s3 12 s4 13 s5 14 s6 15 post sec. training/diploma 16 undergraduate degree 17 postgraduate degree 18 post primary vocational training 97 don’t know Sysmiss hh1 q15:did [name] sleep under a mosquito net last night? hh1 q15:did [name] sleep under a mosquito net last night? hh1 q15:did [name] sleep under a mosquito net last night? hh1 q15:did [name] sleep under a mosquito net last night? hh1 q15:did [name] sleep under a mosquito net last night? 8143 1 yes 2 no 97 others 98 don't know hh1 q16:is this net currently treated? hh1 q16:is this net currently treated? hh1 q16:is this net currently treated? hh1 q16:is this net currently treated? hh1 q16:is this net currently treated? 2473 5670 1 yes, permanet (long lasting net) 2 yes, net bought within last 12 months 3 yes, treated in the last 12 months 4 not treated 98 don’t know Sysmiss hh1 q17:does [name] have a blanket under which [name] can sleep when it gets co hh1 q17:does [name] have a blanket under which [name] can sleep when it gets co hh1 q17:does [name] have a blanket under which [name] can sleep when it gets co hh1 q17:does [name] have a blanket under which [name] can sleep when it gets co hh1 q17:does [name] have a blanket under which [name] can sleep when it gets co 8142 1 1 yes, own 2 yes, shared 3 no 98 dk/na Sysmiss hh1 q18: how many meals did [name] eat yesterday? hh1 q18: how many meals did [name] eat yesterday? hh1 q18: how many meals did [name] eat yesterday? hh1 q18: how many meals did [name] eat yesterday? hh1 q18: how many meals did [name] eat yesterday? 8143 99 3.332 11.979 hh1 q19: is [name] disable in any way? hh1 q19: is [name] disable in any way? hh1 q19: is [name] disable in any way? hh1 q19: is [name] disable in any way? hh1 q19: is [name] disable in any way? 8143 1 yes 2 no 98 dk/na hh1 q20: was [name] residing in this household 12 months ago? hh1 q20: was [name] residing in this household 12 months ago? hh1 q20: was [name] residing in this household 12 months ago? hh1 q20: was [name] residing in this household 12 months ago? hh1 q20: was [name] residing in this household 12 months ago? 8143 1 same household 2 new-born into this household 3 different household/ same community 4 different household/ different community 98 dk/na hh1 q21: why did [name] move from his hh1 q21: why did [name] move from his hh1 q21: why did [name] move from his hh1 q21: why did [name] move from his hh1 q21: why did [name] move from his 158 7985 1 for education 2 back from school/studies 3 for employment 4 transfer of head of household 5 previous household could not afford to keep him/her 6 death of parent/guardian 7 death of spouse 8 marriage 9 new household 10 retrenchment 11 retirement 12 decided to resettle 13 found new agricultural land 14 starting a non-agricultural business 15 refugee/asylum seeker 97 other 98 dk/na Sysmiss hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others 17 ABANDONED BY THEIR PARENTS BROGHT HIM TO HELP CONFLICT DOMESTIC VIOLENCE FAMILY BREAK UP FOLLOWED THE MOTHER FOLLOWED THE MOTHER WHO GOT MARRIE MIGRATED TO HELP THEIR CHILDREN MIGRATED TO HELP THEIR GRAND MOTHE PARENTS DIVORCED RETURN TO FAMILY TAKING CARE OF SICK GRANDMOTHER THE GRAND MOTHER SEND HER BACK TO TO HELP THE GRANDMOTHER hh2 q1:is [name] eligible? (5 years and older) hh2 q1:is [name] eligible? (5 years and older) hh2 q1:is [name] eligible? (5 years and older) hh2 q1:is [name] eligible? (5 years and older) hh2 q1:is [name] eligible? (5 years and older) 8143 1 yes 2 no 98 dk/na hh2 q2:can [name] read or write with understanding in any language? hh2 q2:can [name] read or write with understanding in any language? hh2 q2:can [name] read or write with understanding in any language? hh2 q2:can [name] read or write with understanding in any language? hh2 q2:can [name] read or write with understanding in any language? 8143 1 unable to read and write 2 able to read only 3 able to read and write 4 uses braille 98 dk/na hh2 q3:has [name] ever attended any formal school? hh2 q3:has [name] ever attended any formal school? hh2 q3:has [name] ever attended any formal school? hh2 q3:has [name] ever attended any formal school? hh2 q3:has [name] ever attended any formal school? 8143 1 never attended 2 attended school in the past 3 currently attending school 98 dk/na hh2 q4:what grade is [name] currently attending? hh2 q4:what grade is [name] currently attending? hh2 q4:what grade is [name] currently attending? hh2 q4:what grade is [name] currently attending? hh2 q4:what grade is [name] currently attending? 6312 1831 1 no education 2 p1 3 p2 4 p3 5 p4 6 p5 7 p6 8 p7 9 s1 10 s2 11 s3 12 s4 13 s5 14 s6 15 post sec. training/diploma 16 undergraduate degree 17 postgraduate degree 18 post primary vocational training 98 dk/na Sysmiss hh2 q5:what grade did [name] attend in the last academic year? hh2 q5:what grade did [name] attend in the last academic year? hh2 q5:what grade did [name] attend in the last academic year? hh2 q5:what grade did [name] attend in the last academic year? hh2 q5:what grade did [name] attend in the last academic year? 6312 1831 1 no education 2 p1 3 p2 4 p3 5 p4 6 p5 7 p6 8 p7 9 s1 10 s2 11 s3 12 s4 13 s5 14 s6 15 post sec. training/diploma 16 undergraduate degree 17 postgraduate degree 18 post primary vocational training 98 dk/na Sysmiss hh2 q6:who owns the school? hh2 q6:who owns the school? hh2 q6:who owns the school? hh2 q6:who owns the school? hh2 q6:who owns the school? 6312 1831 1 gov’t 2 private 3 religious /ngo 97 other report 98 dk/na Sysmiss hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? 4 COMMUNITY PARENTS SCHOOL RESULTS WERE DETAINED hh2 q7:in the last 30 scheduled school days, how many days did [name] miss? hh2 q7:in the last 30 scheduled school days, how many days did [name] miss? hh2 q7:in the last 30 scheduled school days, how many days did [name] miss? hh2 q7:in the last 30 scheduled school days, how many days did [name] miss? hh2 q7:in the last 30 scheduled school days, how many days did [name] miss? 6252 1891 1 2 3 4 5 6 7 8 9 10 11 12 14 15 16 17 18 20 21 22 24 30 98 dk/na Sysmiss hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul 2020 6123 1 not able to afford 2 too far away 3 poor school quality 4 had to help at home 5 had to help with farm work 6 had to help with family business 7 sick child 8 education not useful 9 parents did not want 10 not willing to attend 11 too young 12 orphaned 13 displaced 14 disabled 15 insecurity 16 school not available 17 culturally unacceptable 97 other 98 dk/na Sysmiss hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul 213 BAD ROADS BAD WEATHER BOOKS STILL MISSING BOOKS WERE STILL MISSING BOUGHT SCHOOL UNIFORM BURIAL CHAMGE OF SCHOOL CHARTECHISM CLOTHES WERE DIRTY CONFIRMATION DEATH DEATH AT HOME DEATH IN A RELATIVES HOME DEATH OF GRANDFATHER DEATH OF GRANDMOTHER DEATHE OF GRANDFATHER DIDN`T HAVE SCHOOL UNIFORM BECAUSE I HADN`T YET BOUGHT DINT HAVE A PEN DINT WASH DIRTY CLOTHES DIRTY UNIFORM DONT KNOW DURING CAMPAIGNS THEY FEARED THEY MAY BE ABDUCTE HER ESCAPED FROM HOME TO GO VISIT AUNIITIE FEES FINISHED EXAMS AND WAS WAITING FOR TIME TO PICK REPORT GONE TO VISIT GRANDMOTHER HAD BURNT THE HSE HAD DIRTY UNIFORM HAD GONE TO IBUJE TO COLLECT CLOTHES HAD GONE TO SEE THE MOTHER HAD GONE TO VISIT HER MUM HAD NO BOOKS HAD NO SCHOOL UNIFORM HAD NOT PAID DEVELOPMEN FEE HAD NOT PAID DEVELOPMENT FEE HAD TO GO TO WORK TO GET MONAY FOR BOOKS HAD TO TAKE CARE OF ME AT THE HOSPITAL HE HAD NOT YET RETURNED FROM HOLIDAY HELP TO TAKE CARE OF THE CATTLE HIS UNIFORM WAS DIRTY HIS UNIFORM WAS STILL WET HUNGER HUNTING IS AWAY FROM HOME ITEMS NOT AVAILABLE LIKE BOOKS LACK OF BOOKS LACK OF BOOKS AND PENCILS LACK OF SCHOLASTIC MATERIAL LACK OF SCHOLATIC MATERIA LACK OF UNIFORM LOOKING FOR MONEY LOST A FAMILY LOST A RELATIVE LOST RELATIVE MENTAL PROBLEM NO BOOK NO BOOKS NO BOOKS AND PEN NO FOOD NO FOOD (HUNGER) NO SOAP TO WASH UNIFORM NO UNIFORM NO UNIFORM, NO FOOD NO UNIFORMS NO UNIFORN NOT WASHED THE UNIFORM PLE PRAYERS RAIN RAINFALL RAINFALL FELL THAT WE COULD NOT GO TO SCHOOL RANI REPORT SCHOLASTIC MATENALS SCHOOL CLOSED DUE TO FLOODS SCHOOL FEES SCHOOL HAS BEEN CLOSED UNTIL THE TOILET IS BUILD SCHOOL WAS CLOSED DUE TO POOR HYGIENE SELL RATE TO GET MONEY TO BUY BOOKS SICK MOTHER SOME ITEMS LIKE BOOKS WERE NOT AVAILABLE TEACHER SICK TEACHERS NOT AVAILABLE TEACHERS NOT AVAILABLE ON FIRST DAYS OF TERM TO PICK SOME REQUIREMENTS TOO MUCH RAIN UNIFORM UNIFORM DIRITY UNIFORM DIRTY UNIFORM NOT DRY UNIFORM WAS DIRTY UNKNOWN UNWANTED UNIFORM VILLAGE HAD FLOODED AND ROUTES WERE IMPOSIBLE WAITING FOR SCHOOL FEES WANT FOR BURIAL WENT TO VISIT A RELATIVE hh2 q9:why has [name] not attended school? hh2 q9:why has [name] not attended school? hh2 q9:why has [name] not attended school? hh2 q9:why has [name] not attended school? hh2 q9:why has [name] not attended school? 1400 6743 1 not able to afford 2 too far away 3 poor school quality 4 had to help at home 5 had to help with farm work 6 had to help with family business 7 sick child 8 education not useful 9 parents did not want 10 not willing to attend 11 too young 12 orphaned 13 displaced 14 disabled 15 insecurity 16 school not available 17 culturally unacceptable 97 other 98 dk/na Sysmiss hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? 9 BABY SITTER CHILDREN IN NURSERY DIDNT SEE THE IMPORTANCE OF EDUCA DISABLED HAS EPILEPSY SO HE CAN'T ATTEND S HELP TAKE CARE OF THE TWINS AT HO PLANNING TO TAKE HIM NEXT YEAR RESULTS WERE DETAINED STILL YOUNG hh2 q10:what was the highest grade that [name] completed? hh2 q10:what was the highest grade that [name] completed? hh2 q10:what was the highest grade that [name] completed? hh2 q10:what was the highest grade that [name] completed? hh2 q10:what was the highest grade that [name] completed? 437 7706 1 no education 2 p1 3 p2 4 p3 5 p4 6 p5 7 p6 8 p7 9 s1 10 s2 11 s3 12 s4 13 s5 14 s6 15 post sec. training/diploma 16 undergraduate degree 17 postgraduate degree 18 post primary vocational training 98 dk/na Sysmiss hh2 q11:why did [name] leave school? hh2 q11:why did [name] leave school? hh2 q11:why did [name] leave school? hh2 q11:why did [name] leave school? hh2 q11:why did [name] leave school? 437 7706 1 completed desired schooling 2 further schooling not available 3 not able to afford 4 too far away 5 had to help at home 6 had to help with farm work 7 death of sponsor 8 had to help with family business 9 poor school quality 10 parents did not want 11 not willing to further attend 12 poor academic progress 13 sickness/calamity in family 14 pregnancy 15 marriage 97 other 98 dk/na Sysmiss hh2 q11:why did [name] leave school?- other hh2 q11:why did [name] leave school?- other hh2 q11:why did [name] leave school?- other hh2 q11:why did [name] leave school?- other hh2 q11:why did [name] leave school?- other 5 DISABLED NO UNIFORM TOO YOUNG TRAVELLED WITH MOTHER FOR LONG hh3 q1:during the past 30 days did [name] suffer from any illness or injury, th hh3 q1:during the past 30 days did [name] suffer from any illness or injury, th hh3 q1:during the past 30 days did [name] suffer from any illness or injury, th hh3 q1:during the past 30 days did [name] suffer from any illness or injury, th hh3 q1:during the past 30 days did [name] suffer from any illness or injury, th 8143 1 yes 2 no 98 dk/na hh3 q2:for how many days did [name] have to stop his/her usual activities due t hh3 q2:for how many days did [name] have to stop his/her usual activities due t hh3 q2:for how many days did [name] have to stop his/her usual activities due t hh3 q2:for how many days did [name] have to stop his/her usual activities due t hh3 q2:for how many days did [name] have to stop his/her usual activities due t 1105 7038 1 98 7.419 10.914 hh3 q3:was anyone consulted (e.g. a doctor, nurse, pharmacist or traditional he hh3 q3:was anyone consulted (e.g. a doctor, nurse, pharmacist or traditional he hh3 q3:was anyone consulted (e.g. a doctor, nurse, pharmacist or traditional he hh3 q3:was anyone consulted (e.g. a doctor, nurse, pharmacist or traditional he hh3 q3:was anyone consulted (e.g. a doctor, nurse, pharmacist or traditional he 1105 7038 1 yes 2 no 98 dk/na Sysmiss hh3 q4:why was no one consulted for the major illness or injury? hh3 q4:why was no one consulted for the major illness or injury? hh3 q4:why was no one consulted for the major illness or injury? hh3 q4:why was no one consulted for the major illness or injury? hh3 q4:why was no one consulted for the major illness or injury? 276 7867 1 illness mild 2 treated illness at home 3 facility too far 4 no money for consultation 5 too dangerous to go 6 available facilities are costly 7 no qualified staff present 8 staff attitude not good 9 too busy / long waiting time 10 facility is inaccessible 11 facility is closed 12 facility is destroyed 13 drugs not available 97 other 98 dk/na Sysmiss hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? 7 GAVE FIRST AID FOR NOSE BLEEDING GIVEN DRUGS JUST GIVEN BIRTH SO SHE COULD NOT TAKE THEM TO HOSPITAL MOTHER HAD TRAVELLED NO ONE TO TAKE THEM hh3 q5:where did [name] go for the first consultation during the past 30 days? hh3 q5:where did [name] go for the first consultation during the past 30 days? hh3 q5:where did [name] go for the first consultation during the past 30 days? hh3 q5:where did [name] go for the first consultation during the past 30 days? hh3 q5:where did [name] go for the first consultation during the past 30 days? 812 7331 1 neighbour/friend 2 community health worker 3 homapak drug distributor 4 ordinary shop 5 drug shop/pharmacy 6 private clinic 7 private hospital 8 health unit government 9 health unit ngo 10 hospital government 11 hospital ngo 12 traditional 13 = school nurse 97 other 98 dk/na Sysmiss hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - 8 DISPENSARY FATHER MISSIONARY MISSIONARY HOSPITAL RELIGIOUS CHURCH LEADER hh3 q6a:how far was this place where consultation was sought - kms? hh3 q6a:how far was this place where consultation was sought - kms? hh3 q6a:how far was this place where consultation was sought - kms? hh3 q6a:how far was this place where consultation was sought - kms? hh3 q6a:how far was this place where consultation was sought - kms? 800 7343 1 1.5 1.6 2 2.4 2.5 3 3.2 3.5 3.6 4 4.8 5 5.8 6 6.2 6.4 7 7.2 7.5 8 9 9.4 9.6 10 10.8 11 11.2 12 12.8 14.4 15 16 16.2 17 18 19.2 20 23 24 25 27 28.8 30 30.4 32 35 35.2 36 40 46.4 50 64 69 72 85 100 120 200 320 998 dk/na Sysmiss hh3 q6b:how far was this place where consultation was sought - time(minutes)? hh3 q6b:how far was this place where consultation was sought - time(minutes)? hh3 q6b:how far was this place where consultation was sought - time(minutes)? hh3 q6b:how far was this place where consultation was sought - time(minutes)? hh3 q6b:how far was this place where consultation was sought - time(minutes)? 800 7343 1 2 3 4 5 6 7 10 15 19 20 25 30 35 40 45 50 60 70 80 90 120 150 160 180 190 200 210 240 280 300 320 360 420 540 600 720 740 998 dk/na Sysmiss hh3 q7:what was the cost of this consultation, including any medicine prescribe hh3 q7:what was the cost of this consultation, including any medicine prescribe hh3 q7:what was the cost of this consultation, including any medicine prescribe hh3 q7:what was the cost of this consultation, including any medicine prescribe hh3 q7:what was the cost of this consultation, including any medicine prescribe 800 7343 9999999998 1125002416 3161782035.759 hh3 q8:what was the cost of this consultation, including any medicine prescribe hh3 q8:what was the cost of this consultation, including any medicine prescribe hh3 q8:what was the cost of this consultation, including any medicine prescribe hh3 q8:what was the cost of this consultation, including any medicine prescribe hh3 q8:what was the cost of this consultation, including any medicine prescribe 800 7343 9999999998 337509005.116 1806977900.359 hh4_q1:is [name] eligible? (5 years and older) hh4_q1:is [name] eligible? (5 years and older) hh4_q1:is [name] eligible? (5 years and older) hh4_q1:is [name] eligible? (5 years and older) hh4_q1:is [name] eligible? (5 years and older) 8143 1 yes 2 no 97 others 98 dk/na hh4_q2:during the last 7 days has [name] worked for payment in cash/in-kind out hh4_q2:during the last 7 days has [name] worked for payment in cash/in-kind out hh4_q2:during the last 7 days has [name] worked for payment in cash/in-kind out hh4_q2:during the last 7 days has [name] worked for payment in cash/in-kind out hh4_q2:during the last 7 days has [name] worked for payment in cash/in-kind out 8143 1 yes 2 no 98 don't know hh4_q3:during the past 7 days has [name] worked on household owned land or with hh4_q3:during the past 7 days has [name] worked on household owned land or with hh4_q3:during the past 7 days has [name] worked on household owned land or with hh4_q3:during the past 7 days has [name] worked on household owned land or with hh4_q3:during the past 7 days has [name] worked on household owned land or with 8143 1 yes 2 no 98 don't know hh4_q4:during the past 7 days has [name] worked in his/her own business or busi hh4_q4:during the past 7 days has [name] worked in his/her own business or busi hh4_q4:during the past 7 days has [name] worked in his/her own business or busi hh4_q4:during the past 7 days has [name] worked in his/her own business or busi hh4_q4:during the past 7 days has [name] worked in his/her own business or busi 8143 1 yes 2 no 98 don't know hh4_q5:even if [name] did not work in the last 7 days for some reason, did [nam hh4_q5:even if [name] did not work in the last 7 days for some reason, did [nam hh4_q5:even if [name] did not work in the last 7 days for some reason, did [nam hh4_q5:even if [name] did not work in the last 7 days for some reason, did [nam hh4_q5:even if [name] did not work in the last 7 days for some reason, did [nam 4473 3670 1 yes 2 no 98 dk/na Sysmiss hh4_q6:has [name] looked for and/or available for work in the last 7 days? hh4_q6:has [name] looked for and/or available for work in the last 7 days? hh4_q6:has [name] looked for and/or available for work in the last 7 days? hh4_q6:has [name] looked for and/or available for work in the last 7 days? hh4_q6:has [name] looked for and/or available for work in the last 7 days? 4309 3834 1 yes 2 no Sysmiss hh4_q7:what is the main reason that [name] did not look for a job in the last 7 hh4_q7:what is the main reason that [name] did not look for a job in the last 7 hh4_q7:what is the main reason that [name] did not look for a job in the last 7 hh4_q7:what is the main reason that [name] did not look for a job in the last 7 hh4_q7:what is the main reason that [name] did not look for a job in the last 7 4440 3703 1 student 2 household duties 3 too young 4 too old/retired 5 disabled 6 sick 7 waiting for a reply from employer 8 waiting for a recall from employer 9 waiting for busy season 97 other Sysmiss hh4_q8a1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8a1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8a1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8a1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8a1:during the last 7 days, how many hours did [name] work on each day - d 3419 4724 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8a2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8a2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8a2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8a2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8a2:during the last 7 days, how many hours did [name] work on each day - h 3419 4724 1 2 3 4 5 6 7 8 9 10 12 14 98 dk/na Sysmiss hh4_q8b1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8b1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8b1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8b1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8b1:during the last 7 days, how many hours did [name] work on each day - d 3419 4724 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8b2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8b2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8b2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8b2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8b2:during the last 7 days, how many hours did [name] work on each day - h 3419 4724 1 2 3 4 5 6 7 8 9 10 12 14 98 dk/na Sysmiss hh4_q8c1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8c1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8c1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8c1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8c1:during the last 7 days, how many hours did [name] work on each day - d 3419 4724 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8c2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8c2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8c2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8c2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8c2:during the last 7 days, how many hours did [name] work on each day - h 3419 4724 1 2 3 4 5 6 7 8 9 10 11 12 14 98 dk/na Sysmiss hh4_q8d1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8d1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8d1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8d1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8d1:during the last 7 days, how many hours did [name] work on each day - d 3419 4724 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8d2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8d2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8d2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8d2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8d2:during the last 7 days, how many hours did [name] work on each day - h 3419 4724 1 2 3 4 5 6 7 8 9 10 11 12 18 98 dk/na Sysmiss hh4_q8e1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8e1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8e1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8e1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8e1:during the last 7 days, how many hours did [name] work on each day - d 3419 4724 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8e2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8e2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8e2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8e2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8e2:during the last 7 days, how many hours did [name] work on each day - h 3419 4724 1 2 3 4 5 6 7 8 9 10 12 14 98 dk/na Sysmiss hh4_q8f1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8f1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8f1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8f1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8f1:during the last 7 days, how many hours did [name] work on each day - d 3419 4724 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8f2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8f2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8f2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8f2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8f2:during the last 7 days, how many hours did [name] work on each day - h 3419 4724 1 2 3 4 5 6 7 8 9 10 12 14 98 dk/na Sysmiss hh4_q8g1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8g1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8g1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8g1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8g1:during the last 7 days, how many hours did [name] work on each day - d 3419 4724 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8g2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8g2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8g2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8g2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8g2:during the last 7 days, how many hours did [name] work on each day - h 3419 4724 1 2 3 4 5 6 7 8 9 10 12 14 98 dk/na Sysmiss hh4 q9:what was [name]'s main employment status during the last 7 days? hh4 q9:what was [name]'s main employment status during the last 7 days? hh4 q9:what was [name]'s main employment status during the last 7 days? hh4 q9:what was [name]'s main employment status during the last 7 days? hh4 q9:what was [name]'s main employment status during the last 7 days? 3419 4724 1 employer 2 own account worker 3 unpaid family worker 4 working on home farm 5 gov’t permanent 6 gov’t temporary 7 private permanent 8 private temporary/casual 9 student 98 Sysmiss hh4 q10:what was the nature of [name]'s work (for main employment status) tha hh4 q10:what was the nature of [name]'s work (for main employment status) tha hh4 q10:what was the nature of [name]'s work (for main employment status) tha hh4 q10:what was the nature of [name]'s work (for main employment status) tha hh4 q10:what was the nature of [name]'s work (for main employment status) tha 1125 7018 1 armed forces 11 legislators and senior officials 12 corporate managers 13 general managers skilled agricultural and fishery workers 21 physical, mathematical and engineering science professionals 22 life science and health professionals 23 teaching professionals 24 other professionals craft and related trade workers 31 physical and engineering science associate professionals 32 life science and health associate professionals 33 teaching associate professionals 34 other associate professionals plant and machine operators and assemblers 41 office clerks 42 customer service clerks elementary occupations 51 personal and protective service workers 52 models, sales persons and demonstrators armed forces 61 market oriented skilled agricultural and fishery workers 62 subsistence agricultural and fishery workers 71 extraction and building trade workers 72 metal, machinery and related trades workers 73 precision, handicraft, printing and related trades workers 74 other craft and related trades workers 81 stationary plant and related operators 82 machine operators and assemblers 83 drivers and mobile plant operators 91 sales and services elementary occupations 92 agricultural, fishery and related labourers 93 labourers in mining, construction, manufacturing and transport 97 others 98 dk/na Sysmiss hh4 q10:what was the nature of [name]’s work (for main employment status) that hh4 q11:how many months did [name] work at this main activity during the last 1 hh4 q11:how many months did [name] work at this main activity during the last 1 hh4 q11:how many months did [name] work at this main activity during the last 1 hh4 q11:how many months did [name] work at this main activity during the last 1 hh4 q11:how many months did [name] work at this main activity during the last 1 1183 6960 98 15.238 27.368 hh4 q12:in addition to the main occupation, did [name] also work in any subsidi hh4 q12:in addition to the main occupation, did [name] also work in any subsidi hh4 q12:in addition to the main occupation, did [name] also work in any subsidi hh4 q12:in addition to the main occupation, did [name] also work in any subsidi hh4 q12:in addition to the main occupation, did [name] also work in any subsidi 3419 4724 1 yes 2 no 98 dk/n/a Sysmiss hh4 q13:what was the nature of [name]'s subsidiary occupation during the last hh4 q13:what was the nature of [name]'s subsidiary occupation during the last hh4 q13:what was the nature of [name]'s subsidiary occupation during the last hh4 q13:what was the nature of [name]'s subsidiary occupation during the last hh4 q13:what was the nature of [name]'s subsidiary occupation during the last 1596 6547 1 armed forces 11 legislators and senior officials 12 corporate managers 13 general managers skilled agricultural and fishery workers 21 physical, mathematical and engineering science professionals 22 life science and health professionals 23 teaching professionals 24 other professionals craft and related trade workers 31 physical and engineering science associate professionals 32 life science and health associate professionals 33 teaching associate professionals 34 other associate professionals plant and machine operators and assemblers 41 office clerks 42 customer service clerks elementary occupations 51 personal and protective service workers 52 models, sales persons and demonstrators armed forces 61 market oriented skilled agricultural and fishery workers 62 subsistence agricultural and fishery workers 71 extraction and building trade workers 72 metal, machinery and related trades workers 73 precision, handicraft, printing and related trades workers 74 other craft and related trades workers 81 stationary plant and related operators 82 machine operators and assemblers 83 drivers and mobile plant operators 91 sales and services elementary occupations 92 agricultural, fishery and related labourers 93 labourers in mining, construction, manufacturing and transport 97 others 98 dk/na Sysmiss hh4 q13:what was the nature of [name]’s subsidiary occupation during the last 7 hh4 q14a:what were the main and secondary employment statuses of [name] during t hh4 q14a:what were the main and secondary employment statuses of [name] during t hh4 q14a:what were the main and secondary employment statuses of [name] during t hh4 q14a:what were the main and secondary employment statuses of [name] during t hh4 q14a:what were the main and secondary employment statuses of [name] during t 7955 188 1 employer 2 own account worker 3 unpaid family worker 4 working on home farm 5 gov’t permanent 6 gov’t temporary/casual 7 private permanent 8 private temporary/casual 9 full time student 10 pensioner/retired 11 children not at school 12 none 97 other 98 Sysmiss hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during 2 BABY SITTER INSENE hh4 q14b:what were the main and secondary employment statuses of [name] during t hh4 q14b:what were the main and secondary employment statuses of [name] during t hh4 q14b:what were the main and secondary employment statuses of [name] during t hh4 q14b:what were the main and secondary employment statuses of [name] during t hh4 q14b:what were the main and secondary employment statuses of [name] during t 7954 189 1 employer 2 own account worker 3 unpaid family worker 4 working on home farm 5 gov’t permanent 6 gov’t temporary/casual 7 private permanent 8 private temporary/casual 9 full time student 10 pensioner/retired 11 children not at school 12 none 97 other 98 Sysmiss hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during 2 . SELLING LABOUR hh4 q15:is [name]'s aged 17 years or below or 50 years and above? hh4 q15:is [name]'s aged 17 years or below or 50 years and above? hh4 q15:is [name]'s aged 17 years or below or 50 years and above? hh4 q15:is [name]'s aged 17 years or below or 50 years and above? hh4 q15:is [name]'s aged 17 years or below or 50 years and above? 8143 1 yes 2 no 98 dk/na hh4 q16:during the past 7 days how many hours did [name] spend fetching water f hh4 q16:during the past 7 days how many hours did [name] spend fetching water f hh4 q16:during the past 7 days how many hours did [name] spend fetching water f hh4 q16:during the past 7 days how many hours did [name] spend fetching water f hh4 q16:during the past 7 days how many hours did [name] spend fetching water f 8136 7 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 20 21 22 23 24 25 26 27 28 35 40 42 49 56 60 62 63 66 998 dk/na Sysmiss hh4 q17:during the past 7 days how many hours did [name] spend fetching firewoo hh4 q17:during the past 7 days how many hours did [name] spend fetching firewoo hh4 q17:during the past 7 days how many hours did [name] spend fetching firewoo hh4 q17:during the past 7 days how many hours did [name] spend fetching firewoo hh4 q17:during the past 7 days how many hours did [name] spend fetching firewoo 8140 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 20 21 22 24 28 40 998 dk/na Sysmiss hh4 q18:during the past 7 days how many hours did [name] spend cooking for the hh4 q18:during the past 7 days how many hours did [name] spend cooking for the hh4 q18:during the past 7 days how many hours did [name] spend cooking for the hh4 q18:during the past 7 days how many hours did [name] spend cooking for the hh4 q18:during the past 7 days how many hours did [name] spend cooking for the 8140 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 20 21 22 24 26 28 30 35 42 46 49 998 dk/na Sysmiss hh4 q19:during the past 7 days how many hours did [name] spend caring for child hh4 q19:during the past 7 days how many hours did [name] spend caring for child hh4 q19:during the past 7 days how many hours did [name] spend caring for child hh4 q19:during the past 7 days how many hours did [name] spend caring for child hh4 q19:during the past 7 days how many hours did [name] spend caring for child 8139 4 1 2 3 4 5 6 7 8 9 10 11 12 14 15 16 18 20 21 22 28 30 35 36 37 38 40 42 48 49 56 63 84 91 998 dk/na Sysmiss hh4 q20:during the past 7 days how many hours did [name] spend doing other chor hh4 q20:during the past 7 days how many hours did [name] spend doing other chor hh4 q20:during the past 7 days how many hours did [name] spend doing other chor hh4 q20:during the past 7 days how many hours did [name] spend doing other chor hh4 q20:during the past 7 days how many hours did [name] spend doing other chor 8140 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 20 21 25 28 35 42 56 998 dk/na Sysmiss hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during 1 8142 1 baby sitter 2 broker 3 household duties 4 housewife 5 sick Sysmiss hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during 1 8142 1 dig for money 2 fishing 3 fishing- small scale 4 mining gold 5 orange garden 6 pastor 7 selling labor 8 selling labour 9 traditional birth attendant Sysmiss hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others 5 8138 1 abandoned by their parents 2 baby to house help 3 change in family 4 divorce 5 divorced from husband 6 family break up 7 join parents 8 moved with mother 9 new born 10 parents divorced 11 return to family 12 separation 13 to help father /visiting 14 to help father/visiting 15 treating and taking care of mu mum 16 treatment 17 visit Sysmiss hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? 3 8140 1 community 2 parents school 3 results were detained Sysmiss hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul 111 8032 1 bad roads 2 books still missing 3 books were still missing 4 bought school uniform 5 burial 6 chamge of school 7 chartechism 8 chased away from school 9 clothes were dirty 10 death 11 death at home 12 death of grandmother 13 didn`t have school uniform because i hadn`t yet bought 14 dint wash 15 dirty clothes 16 dirty uniform 17 fees 18 finished exams and was waiting for time to pick report 19 gone to visit grandmother 20 had burnt the hse 21 had gone to see the mother 22 had no books 23 had no school uniform 24 his uniform was dirty 25 his uniform was still wet 26 hunger 27 is away from home 28 items not available like books 29 lack of books 30 lack of uniform 31 lost a family 32 lost a relative 33 lost relative 34 no books 35 no books and pen 36 no uniform 37 no uniforms 38 not available 39 not washed the uniform 40 prayers 41 rainfall 42 rainfall fell that we could not go to school 43 report 44 scholastic matenals 45 school fees 46 school was closed due to poor hygiene 47 sick 48 sick mother 49 some items like books were not available 50 teachers not available 51 too much rain 52 uniform 53 uniform dirity 54 uniform dirty 55 uniform was dirty 56 village had flooded and routes were imposible 57 waiting for school fees Sysmiss hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? 4 8139 1 baby sitter 2 can't tell 3 culturally unacceptable 4 death of the father 5 disabled 6 dont know 7 parents were dead 8 results were detained 9 sickness, calamity, in the family 10 still young Sysmiss hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? 4 8139 1 has tried before and does not get change 2 mother had travelled 3 no energy to move 4 no facility to use to go to hospital since cant use bicycle 5 no one to take me 6 no one to take them 7 no transport 8 was too sick and could not sit on the bicyce Sysmiss hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - 6 8137 1 broke the leg 2 dispensary 3 father 4 lacor mission hospital 5 local herbs 6 mission 7 mission hospital 8 mission mengo 9 missionary 10 missionary hospital 11 religious church leader Sysmiss hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? 370 7773 1 AUNT 2 AUNT RECALL 3 AUNTY RECALLED 4 BEING TOLD BY THE HUSBAND 5 BIRTH REGISTER 6 BOOK 7 BOOK RECORD 8 BOOK RECORD KEPT 9 BOOKS RECORDS 10 BROTHER 11 BROTHER RECALLED 12 BROTHER RECODED 13 CANT REMEMBER 14 CARETAKER 15 CERTIFICATE OF REGISTRATION 16 CHAIRMAN 17 CHILD HEALTH CARD 18 CODE GOT FROM HOUSEHOLD REGIS 19 DAD 20 DAUGHTER 21 DAUGHTER IN-LAW TO THE HHOLD 22 DAUGHTER IN-LAW TO THE HHOLD 23 DAUGHTER INLAW 24 DAUGHTER REMEMBERED 25 DRIVING PERMIT 26 FAMILY BOOK 27 FAMILY GRACE 28 FAMILY RECORD BOOK 29 FAMILY RECORDS 30 FAMILY REG 31 FAMILY REGISTER 32 FAMILY REGISTER BOOK 33 FATHER 34 FATHER RECAL 35 FATHER RECALE 36 FATHER RECALL 37 FATHER RECALLED 38 FATHER RECORDS 39 FATHERRECAL 40 FRIEND RECALLED 41 G.MUM 42 GRAND 43 GRAND MOM 44 GRAND MOTHER 45 GRAND MOTHER RECALL 46 GRAND MOTHER RECALLED 47 GRAND MOTHER REMEMBERED 48 GRAND MUM 49 GRANDCHILD RECALLED 50 GRANDFATHER 51 GRANDMOTHER 52 GRANDMOTHER CALL 53 GRANDMOTHER RECALLED 54 GRANDMOTHER REPORTED 55 GRANDMUM 56 GRANDY 57 GUARDIAN RECALLED 58 HE WROTE ALL THE CHILDRENS BI 59 HEALTH CARD 60 HIDDEN REPORT 61 HOME BIRTH REGISTER 62 HOME BORTH REGISTER 63 HOME RECORD 64 HOME REGISTER 65 HOSPITAL BOOK RECORDS 66 HOUSEHOLD REGISTER WAS USED 67 HUSBAND RECALLED 68 IDENTITY CARD 69 IMMUNISATION BOOK 70 LC RECORDS 71 LCI ROSTER 72 MARRIAGE CARD 73 MEDICAL FORM 74 MOTHER 75 MOTHER RECAL 76 MOTHER RECALL 77 MOTHER RECALLED 78 MOTHERS RECALL 79 MOTHER`S RECALL 80 MRM 81 MRM CARD 82 MUM 83 NEIGHBOR RECALLED 84 NRM 85 NRM CARD 86 NRM MEMBERSHIP CARD 87 NRM REGOSTER 88 NRN CARD 89 OCEN AND OPIO ARE TWINS 90 OTHER RECALL 91 PARENT/ BROTHER 92 PARTY CARD 93 PARTY ID 94 REAL WIFE 95 RECAL 96 RECAL WIFE 97 RECALL 98 RECALL AUNT 99 RECALL BROTHER 100 RECALL BY GRANDMOTHER 101 RECALL FATHER 102 RECALL GRANDMOTHER 103 RECALL MOTHER 104 RECALL SON 105 RECALL TRADITIONAL BIRTH ATTE 106 RECALLED 107 RECALLED BY GRANDMOTHER 108 RECALLED BY THE GRANDMOTHER M 109 RECALLED BY THE MOTHER 110 RECAll 111 RECORD BOOK 112 RECORDED DATA 113 RECORDS 114 REGISTER 115 REPORTED BY GRANDFATHER 116 ROCALL 117 SISTER 118 SOME ONE RECALL 119 SOMEBODY RESPONDED 120 SON 121 SON RECALL 122 SON RECALLED 123 SPOUSE 124 UNCLE 125 VILAGE HOUSEHOLD REGISTER 126 VILLAGE HOUSE HOLD REGISTER 127 VILLAGE HOUSEHOLD REGISTER 128 VORTERS REPORT 129 VOTERS RECIEPT 130 WIFE 131 WIFE RECALL 132 WIFE RECALLED 133 WRITTEN 134 WROTE ALL HIS CHILDRENS BIRTH Sysmiss date of interview - day date of interview - day date of interview - day date of interview - day date of interview - day 8123 20 1 31 15.018 9.117 date of interview - month date of interview - month date of interview - month date of interview - month date of interview - month 8107 36 8 9 10 11 Sysmiss date of interview - year date of interview - year date of interview - year date of interview - year date of interview - year 8143 2012 result of interview result of interview result of interview result of interview result of interview 8143 1 interviewed 2 interview incomplete 3 household not found 4 household members temporarily not at home 5 household refused 6 household moved permanently 97 others corrected age corrected age corrected age corrected age corrected age 8143 Sysmiss 8143 1 8143 1 8143 1 8143 1 8143 1 8047 96 1 Sysmiss children attending school children attending school children attending school children attending school children attending school 8047 96 1 Sysmiss female children attending school female children attending school female children attending school female children attending school female children attending school 3977 4166 1 Sysmiss male children attending school male children attending school male children attending school male children attending school male children attending school 4070 4073 1 Sysmiss number of school days missed in the last 30 scheduled school days number of school days missed in the last 30 scheduled school days number of school days missed in the last 30 scheduled school days number of school days missed in the last 30 scheduled school days number of school days missed in the last 30 scheduled school days 6050 2093 30 1.853 4.198 number of school days missed in the last 30 scheduled school days - female number of school days missed in the last 30 scheduled school days - female number of school days missed in the last 30 scheduled school days - female number of school days missed in the last 30 scheduled school days - female number of school days missed in the last 30 scheduled school days - female 2940 5203 30 1.766 4.057 number of school days missed in the last 30 scheduled school days - male number of school days missed in the last 30 scheduled school days - male number of school days missed in the last 30 scheduled school days - male number of school days missed in the last 30 scheduled school days - male number of school days missed in the last 30 scheduled school days - male 3110 5033 30 1.936 4.326 class progression rate class progression rate class progression rate class progression rate class progression rate 6202 1941 1 Sysmiss class progression rate - female class progression rate - female class progression rate - female class progression rate - female class progression rate - female 3009 5134 1 Sysmiss class progression rate - male class progression rate - male class progression rate - male class progression rate - male class progression rate - male 3193 4950 1 Sysmiss primary school completion rate primary school completion rate primary school completion rate primary school completion rate primary school completion rate 626 7517 1 Sysmiss primary school completion rate - female primary school completion rate - female primary school completion rate - female primary school completion rate - female primary school completion rate - female 326 7817 1 Sysmiss primary school completion rate - male primary school completion rate - male primary school completion rate - male primary school completion rate - male primary school completion rate - male 300 7843 1 Sysmiss hh2_q9==not able to afford hh2_q9==not able to afford hh2_q9==not able to afford hh2_q9==not able to afford hh2_q9==not able to afford 1400 6743 1 Sysmiss hh2_q9==too far away hh2_q9==too far away hh2_q9==too far away hh2_q9==too far away hh2_q9==too far away 1400 6743 1 Sysmiss hh2_q9==poor school quality hh2_q9==poor school quality hh2_q9==poor school quality hh2_q9==poor school quality hh2_q9==poor school quality 1400 6743 1 Sysmiss hh2_q9==had to help at home hh2_q9==had to help at home hh2_q9==had to help at home hh2_q9==had to help at home hh2_q9==had to help at home 1400 6743 1 Sysmiss hh2_q9==had to help with farm work hh2_q9==had to help with farm work hh2_q9==had to help with farm work hh2_q9==had to help with farm work hh2_q9==had to help with farm work 1400 6743 1 Sysmiss hh2_q9==had to help with family business hh2_q9==had to help with family business hh2_q9==had to help with family business hh2_q9==had to help with family business hh2_q9==had to help with family business 1400 6743 1 Sysmiss hh2_q9==sick child hh2_q9==sick child hh2_q9==sick child hh2_q9==sick child hh2_q9==sick child 1400 6743 1 Sysmiss hh2_q9==education not useful hh2_q9==education not useful hh2_q9==education not useful hh2_q9==education not useful hh2_q9==education not useful 1400 6743 1 Sysmiss hh2_q9==parents did not want hh2_q9==parents did not want hh2_q9==parents did not want hh2_q9==parents did not want hh2_q9==parents did not want 1400 6743 1 Sysmiss hh2_q9==not willing to attend hh2_q9==not willing to attend hh2_q9==not willing to attend hh2_q9==not willing to attend hh2_q9==not willing to attend 1400 6743 1 Sysmiss hh2_q9==too young hh2_q9==too young hh2_q9==too young hh2_q9==too young hh2_q9==too young 1400 6743 1 Sysmiss hh2_q9==orphaned (reason_12) hh2_q9==orphaned (reason_12) hh2_q9==orphaned (reason_12) hh2_q9==orphaned (reason_12) hh2_q9==orphaned (reason_12) 1400 6743 1 Sysmiss hh2_q9==displaced hh2_q9==displaced hh2_q9==displaced hh2_q9==displaced hh2_q9==displaced 1400 6743 1 Sysmiss hh2_q9==disabled hh2_q9==disabled hh2_q9==disabled hh2_q9==disabled hh2_q9==disabled 1400 6743 1 Sysmiss hh2_q9==insecurity (reason_15) hh2_q9==insecurity (reason_15) hh2_q9==insecurity (reason_15) hh2_q9==insecurity (reason_15) hh2_q9==insecurity (reason_15) 1400 6743 1 Sysmiss hh2_q9==school not available hh2_q9==school not available hh2_q9==school not available hh2_q9==school not available hh2_q9==school not available 1400 6743 1 Sysmiss hh2_q9==other hh2_q9==other hh2_q9==other hh2_q9==other hh2_q9==other 1400 6743 1 Sysmiss hh2_q9==dk/na (reason_98) hh2_q9==dk/na (reason_98) hh2_q9==dk/na (reason_98) hh2_q9==dk/na (reason_98) hh2_q9==dk/na (reason_98) 1400 6743 1 Sysmiss hh2_q8==not able to afford hh2_q8==not able to afford hh2_q8==not able to afford hh2_q8==not able to afford hh2_q8==not able to afford 2020 6123 1 Sysmiss hh2_q8==too far away hh2_q8==too far away hh2_q8==too far away hh2_q8==too far away hh2_q8==too far away 2020 6123 1 Sysmiss hh2_q8==poor school quality hh2_q8==poor school quality hh2_q8==poor school quality hh2_q8==poor school quality hh2_q8==poor school quality 2020 6123 1 Sysmiss hh2_q8==had to help at home hh2_q8==had to help at home hh2_q8==had to help at home hh2_q8==had to help at home hh2_q8==had to help at home 2020 6123 1 Sysmiss hh2_q8==had to help with farm work hh2_q8==had to help with farm work hh2_q8==had to help with farm work hh2_q8==had to help with farm work hh2_q8==had to help with farm work 2020 6123 1 Sysmiss hh2_q8==had to help with family business hh2_q8==had to help with family business hh2_q8==had to help with family business hh2_q8==had to help with family business hh2_q8==had to help with family business 2020 6123 1 Sysmiss hh2_q8==sick child hh2_q8==sick child hh2_q8==sick child hh2_q8==sick child hh2_q8==sick child 2020 6123 1 Sysmiss hh2_q8==education not useful hh2_q8==education not useful hh2_q8==education not useful hh2_q8==education not useful hh2_q8==education not useful 2020 6123 1 Sysmiss hh2_q8==parents did not want hh2_q8==parents did not want hh2_q8==parents did not want hh2_q8==parents did not want hh2_q8==parents did not want 2020 6123 1 Sysmiss hh2_q8==not willing to attend hh2_q8==not willing to attend hh2_q8==not willing to attend hh2_q8==not willing to attend hh2_q8==not willing to attend 2020 6123 1 Sysmiss hh2_q8==too young hh2_q8==too young hh2_q8==too young hh2_q8==too young hh2_q8==too young 2020 6123 1 Sysmiss hh2_q8==orphaned (reason_missing_12) hh2_q8==orphaned (reason_missing_12) hh2_q8==orphaned (reason_missing_12) hh2_q8==orphaned (reason_missing_12) hh2_q8==orphaned (reason_missing_12) 2020 6123 1 Sysmiss hh2_q8==displaced hh2_q8==displaced hh2_q8==displaced hh2_q8==displaced hh2_q8==displaced 2020 6123 1 Sysmiss hh2_q8==disabled (reason_missing_14) hh2_q8==disabled (reason_missing_14) hh2_q8==disabled (reason_missing_14) hh2_q8==disabled (reason_missing_14) hh2_q8==disabled (reason_missing_14) 2020 6123 1 Sysmiss hh2_q8==insecurity (reason_missing_15) hh2_q8==insecurity (reason_missing_15) hh2_q8==insecurity (reason_missing_15) hh2_q8==insecurity (reason_missing_15) hh2_q8==insecurity (reason_missing_15) 2020 6123 1 Sysmiss hh2_q8==school not available hh2_q8==school not available hh2_q8==school not available hh2_q8==school not available hh2_q8==school not available 2020 6123 1 Sysmiss hh2_q8==culturally unacceptable hh2_q8==culturally unacceptable hh2_q8==culturally unacceptable hh2_q8==culturally unacceptable hh2_q8==culturally unacceptable 2020 6123 1 Sysmiss hh2_q8==other hh2_q8==other hh2_q8==other hh2_q8==other hh2_q8==other 2020 6123 1 Sysmiss hh2_q8==dk/na (reason_missing_98) hh2_q8==dk/na (reason_missing_98) hh2_q8==dk/na (reason_missing_98) hh2_q8==dk/na (reason_missing_98) hh2_q8==dk/na (reason_missing_98) 2020 6123 1 Sysmiss (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod 8143 SCG 1 VFSG actual treatment status actual treatment status actual treatment status actual treatment status actual treatment status 8034 109 Control 1 Treatment 2 Do not know SAGE Sysmiss baseline treatment group baseline treatment group baseline treatment group baseline treatment group baseline treatment group 8143 Control 1 Treatment Community ID Community ID Community ID Community ID Community ID 8143 1031030102 4151140802 3084642868.813 726211742.191 District District District District District 8143 APAC KABERAMAIDO KATAKWI KIBOGA KYENJOJO MOROTO NAKAPIRIPIRIT NEBBI County County County County County 8143 CHEKWII JONAM KABERAMAIDO KALAKI KIBOGA KWANIA MARUZI MATHENIKO MOROTO MUNICIPALITY MWENGE PADYERE PIAN TOROMA USUK Sub-County Sub-County Sub-County Sub-County Sub-County 8143 ABONGOMOLA ADUKU AKOKORO ALWA ANYARA APAC ATEGO BUGAAKI BUTIITI CHAWENTE CHEGERE ERUSSI IBUJE KABERAMAIDO TOWN COUNCIL KAKOMONGOLE KALAKI KAPEKE KAPUJAN KATOOKE TOWN COUNCIL KIBOGA TOWN COUNCIL KIGARAALE KISOJO KITOOKE KUCWINY KYARUSOZI KYENJOJO TOWN COUNCIL MAGORO NABILATUK NADUNGET NAMBEISO NDHEW NEBBI TOWN COUNCIL NYANTUNGO OCHERO OMODOI PAKWACH PAKWACH TOWN COUNCIL PANYANGO PANYIMUR RUPA SOUTH DIVISION TOROMA USUK Parish Parish Parish Parish Parish 8143 AAKUM ABALANG ABANY ABAR EAST ABAR WEST ABEDI ABINDU WARD ABOKO ABONGO ABULI ABWOKODIA ABWONG ACABA ACEGERETOLIM ACENLWORO ACHERER ACHUNGI ADEM ADOLO ADYEDA AGANGA AGONG AJAR AKALI AKERE AKETO AKOKORO AKURAO AKUYAM ALARO ALIDO ALIRA ALWOROCENG AMII- AMILO AMII-ABERIDWOGO AMOR WARD AMOR WEST AMORIGOGA AMUN AMUSIA ANGODINGODI ANWANGI ANYARA AORNGA APARISIA APIRE APOI APUUTON ASURET ATANA ATIGOLWOK ATIK ATONGTIDI ATOPI ATULE ATYAK AWILA AYABI AYAGO AYEOLYEC BAMUSUUTA WARD BARAHIIJA BARODILO BORO BUCUNI WARD BUNG BURARRO BUSANZA BUTARA BUTIITI BUZIBWEERA WARD BWENZI CAMPSWAHILI JUU CAMPSWAHILLICHIN CENTRAL WARD CHEGERE CHELEUKO ENJERU ETEKOBER FOREST WARD GANDA HAKATOMA HIMA ILEE ISANDARA JUKIA WARD KABAALE KADINYA KAFUNDA PARISH KAGAA KAGOBE KAIHURA KAKERE KAKINDO KALAKI KALOKWAMERI KAMENU KAMUDA KANYALAM KAPUJAN KASABA KASEGA KASENYI KATAMBALE KATARA WARD KAYEERA KIBIRA KIBOGA TOWN WARD KIDILANI KIGOYERA KIGUNDU KIHUMIRO KIJUMA KIKODA KINOGERO PARISH KIRONGO WARD KIRULUMBA WARD KISOJO KITONGOLE KITONYA KIVUJE KOKORIO KORITOK KORYAMO KOTHIKE KUNGU KYABAGONZA KYABARANGA KYAKATWIRE KYAMITARA KYAMUGENYI KYAMUTASA KYANYABONGO WARD KYAYIMBA KYONGERA LOBODEGI LOBUNEIT LOKAALA LOPUTUK LOTIRIR MABAALE MAGORO MAJENGO MIRAMBI MITOMA MOGOTH MORUANGIBUIN MUKALE MUKUNYU MWARO WARD MYERI PARISH NABOLITH NADUNGET NAITAKWAE NAKADELI NAKOBEKOBE NAMRWODO WARD NAMTHIN WARD NATOPOJO NEBBI HILL WARD NSINDE NTOMA NYACARA WARD NYAIBANDA NYAKAGEI NYAKISI PARISH NYAMABUGA OGWIL OGWOLO OLAGO OLOLANGO OLYEJO OMID OMINYA OMWIBALE ONGEMA ONGICIA ONGOCENG OPETA ORIMAI OWEKO OWINY PACEGO PACHAKA PADOLO PAJUR PAKIA PALATAU PAMINYA LOWER PAMINYA UPPER PAMITU PAMORA UPPER PAROKETO PAYERA POKWERO PUNUATAR PUPU PUVUNGU CENTRAL PUVUNGU WEST RAMOGI RUBANGO RUHOKO RUPA RWAITENGYA RWAMUKOORA SWAGERE TAROGALI TEBOKE TEI-ORO THATHA WARD TOKORA TOROMA USUK VURR Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse 8143 1.535 53.398 18.265 8.044 Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse 8143 1.389 42.718 18.185 7.926 Village Village Village Village Village 8143 1 377 185.758 110.063 household id household id household id household id household id 3980 10310301020014 41511408020164 30924912615850.7 7372639529324.36 household owning cattle household owning cattle household owning cattle household owning cattle household owning cattle 3980 1 household owning goat household owning goat household owning goat household owning goat household owning goat 3980 1 household owning sheep household owning sheep household owning sheep household owning sheep household owning sheep 3980 1 household owning camel household owning camel household owning camel household owning camel household owning camel 3980 1 household owning donkey household owning donkey household owning donkey household owning donkey household owning donkey 3980 1 household owning pig household owning pig household owning pig household owning pig household owning pig 3980 1 household owning poultry household owning poultry household owning poultry household owning poultry household owning poultry 3980 1 household currently owning land household currently owning land household currently owning land household currently owning land household currently owning land 3980 1 3980 1 3980 1 3980 1 3980 1 3980 1 3980 1 3980 1 3980 1 3980 1 3980 1 3980 1 3980 1 3980 1 3980 1 3980 1 3980 1 3980 1 3980 1 3980 1 3980 1 3980 1 3980 1 3980 1 3980 1 3980 1 3980 1 3980 1 3980 1 3980 1 Community ID Community ID Community ID Community ID Community ID 3980 1031030102 4151140802 3092489768.58 737263910.086 District District District District District 3980 APAC KABERAMAIDO KATAKWI KIBOGA KYENJOJO MOROTO NAKAPIRIPIRIT NEBBI County County County County County 3980 CHEKWII JONAM KABERAMAIDO KALAKI KIBOGA KWANIA MARUZI MATHENIKO MOROTO MUNICIPALITY MWENGE PADYERE PIAN TOROMA USUK Sub-County Sub-County Sub-County Sub-County Sub-County 3980 ABONGOMOLA ADUKU AKOKORO ALWA ANYARA APAC ATEGO BUGAAKI BUTIITI CHAWENTE CHEGERE ERUSSI IBUJE KABERAMAIDO TOWN COUNCIL KAKOMONGOLE KALAKI KAPEKE KAPUJAN KATOOKE TOWN COUNCIL KIBOGA TOWN COUNCIL KIGARAALE KISOJO KITOOKE KUCWINY KYARUSOZI KYENJOJO TOWN COUNCIL MAGORO NABILATUK NADUNGET NAMBEISO NDHEW NEBBI TOWN COUNCIL NYANTUNGO OCHERO OMODOI PAKWACH PAKWACH TOWN COUNCIL PANYANGO PANYIMUR RUPA SOUTH DIVISION TOROMA USUK Parish Parish Parish Parish Parish 3980 AAKUM ABALANG ABANY ABAR EAST ABAR WEST ABEDI ABINDU WARD ABOKO ABONGO ABULI ABWOKODIA ABWONG ACABA ACEGERETOLIM ACENLWORO ACHERER ACHUNGI ADEM ADOLO ADYEDA AGANGA AGONG AJAR AKALI AKERE AKETO AKOKORO AKURAO AKUYAM ALARO ALIDO ALIRA ALWOROCENG AMII- AMILO AMII-ABERIDWOGO AMOR WARD AMOR WEST AMORIGOGA AMUN AMUSIA ANGODINGODI ANWANGI ANYARA AORNGA APARISIA APIRE APOI APUUTON ASURET ATANA ATIGOLWOK ATIK ATONGTIDI ATOPI ATULE ATYAK AWILA AYABI AYAGO AYEOLYEC BAMUSUUTA WARD BARAHIIJA BARODILO BORO BUCUNI WARD BUNG BURARRO BUSANZA BUTARA BUTIITI BUZIBWEERA WARD BWENZI CAMPSWAHILI JUU CAMPSWAHILLICHIN CENTRAL WARD CHEGERE CHELEUKO ENJERU ETEKOBER FOREST WARD GANDA HAKATOMA HIMA ILEE ISANDARA JUKIA WARD KABAALE KADINYA KAFUNDA PARISH KAGAA KAGOBE KAIHURA KAKERE KAKINDO KALAKI KALOKWAMERI KAMENU KAMUDA KANYALAM KAPUJAN KASABA KASEGA KASENYI KATAMBALE KATARA WARD KAYEERA KIBIRA KIBOGA TOWN WARD KIDILANI KIGOYERA KIGUNDU KIHUMIRO KIJUMA KIKODA KINOGERO PARISH KIRONGO WARD KIRULUMBA WARD KISOJO KITONGOLE KITONYA KIVUJE KOKORIO KORITOK KORYAMO KOTHIKE KUNGU KYABAGONZA KYABARANGA KYAKATWIRE KYAMITARA KYAMUGENYI KYAMUTASA KYANYABONGO WARD KYAYIMBA KYONGERA LOBODEGI LOBUNEIT LOKAALA LOPUTUK LOTIRIR MABAALE MAGORO MAJENGO MIRAMBI MITOMA MOGOTH MORUANGIBUIN MUKALE MUKUNYU MWARO WARD MYERI PARISH NABOLITH NADUNGET NAITAKWAE NAKADELI NAKOBEKOBE NAMRWODO WARD NAMTHIN WARD NATOPOJO NEBBI HILL WARD NSINDE NTOMA NYACARA WARD NYAIBANDA NYAKAGEI NYAKISI PARISH NYAMABUGA OGWIL OGWOLO OLAGO OLOLANGO OLYEJO OMID OMINYA OMWIBALE ONGEMA ONGICIA ONGOCENG OPETA ORIMAI OWEKO OWINY PACEGO PACHAKA PADOLO PAJUR PAKIA PALATAU PAMINYA LOWER PAMINYA UPPER PAMITU PAMORA UPPER PAROKETO PAYERA POKWERO PUNUATAR PUPU PUVUNGU CENTRAL PUVUNGU WEST RAMOGI RUBANGO RUHOKO RUPA RWAITENGYA RWAMUKOORA SWAGERE TAROGALI TEBOKE TEI-ORO THATHA WARD TOKORA TOROMA USUK VURR Targeting Method Targeting Method Targeting Method Targeting Method Targeting Method 3980 OAG VFSG ELIGILITY STATUS ELIGILITY STATUS ELIGILITY STATUS ELIGILITY STATUS ELIGILITY STATUS 3980 Eligible Ineligible Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse 3980 1.535 53.398 17.601 7.91 Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse 3980 1.389 42.718 17.509 7.779 Scores for factor 1 Scores for factor 1 Scores for factor 1 Scores for factor 1 Scores for factor 1 3980 6.507 1.482 1.003 3980 -1.533 -1.533 -1.533 4.06e-07 5 quantiles of score 5 quantiles of score 5 quantiles of score 5 quantiles of score 5 quantiles of score 3980 1 2 3 4 5 Village Village Village Village Village 3980 1 377 187.178 109.613 serial number serial number serial number serial number serial number 3980 1 4194 2103.262 1203.557 household id household id household id household id household id 3980 10310301020014 41511408020164 30924912615850.7 7372639529324.34 date of interview - day date of interview - day date of interview - day date of interview - day date of interview - day 3970 10 1 31 15.324 9.029 date of interview - month date of interview - month date of interview - month date of interview - month date of interview - month 3960 20 8 9 10 11 Sysmiss date of interview - year date of interview - year date of interview - year date of interview - year date of interview - year 3980 2012 roster id of respondent roster id of respondent roster id of respondent roster id of respondent roster id of respondent 3955 25 99 1.449 3.837 start time start time start time start time start time 3967 13 5 9475 1252.294 278.71 end time end time end time end time end time 3932 48 24 4554 1397.24 253.491 language language language language language 3957 23 1 english 2 luganda 3 luo/langi/acholi 4 ateso 5 kuman 6 rutooro 7 karamajong 8 alur Sysmiss other language other language other language other language other language result of interview result of interview result of interview result of interview result of interview 3980 1 interviewed 2 interview incomplete 3 household not found 4 household members temporarily not at home 5 household refused 6 household moved permanently 97 others hh5_q1:lab have any members of the household left the household in last one year hh5_q1:lab have any members of the household left the household in last one year hh5_q1:lab have any members of the household left the household in last one year hh5_q1:lab have any members of the household left the household in last one year hh5_q1:lab have any members of the household left the household in last one year 3980 1 yes 2 no 98 hh6_q1:type of main dwelling that the household occupies hh6_q1:type of main dwelling that the household occupies hh6_q1:type of main dwelling that the household occupies hh6_q1:type of main dwelling that the household occupies hh6_q1:type of main dwelling that the household occupies 3980 1 independent house 2 tenement (muzigo) 3 independent flat/apartment 4 sharing house/flat/apartment 5 boys quarters 6 garage 7 hut 8 uniport 77 other 97 others 98 no response hh6_q1:type of main dwelling that the household occupies other hh6_q1:type of main dwelling that the household occupies other hh6_q1:type of main dwelling that the household occupies other hh6_q1:type of main dwelling that the household occupies other hh6_q1:type of main dwelling that the household occupies other 4 CAMP HUT/TENANT HUTS/ APARTMENT/ PER SHE DOESNT HAVE A HO hh6 q2:what is the tenure status of this household? hh6 q2:what is the tenure status of this household? hh6 q2:what is the tenure status of this household? hh6 q2:what is the tenure status of this household? hh6 q2:what is the tenure status of this household? 3980 1 owned 2 rented (normal) 3 rented (subsidized) 4 supplied free by employer 5 supplied free or rent paid by relative or other person 77 other 97 others 98 no response hh6 q2:what is the tenure status of this household - other? hh6 q2:what is the tenure status of this household - other? hh6 q2:what is the tenure status of this household - other? hh6 q2:what is the tenure status of this household - other? hh6 q2:what is the tenure status of this household - other? 10 CUSTOM TRADITI CUSTOMARY LAND FOR THE CHURCH GIVEN BY A BRO GIVEN BY A GOO SHE DOESNT HAV SHE WAS GIVEN SON'S HOUSE SUPPLIED FREE THEIR HOME hh6 q3:how many rooms are there in your household? hh6 q3:how many rooms are there in your household? hh6 q3:how many rooms are there in your household? hh6 q3:how many rooms are there in your household? hh6 q3:how many rooms are there in your household? 3980 1 2 3 4 5 6 7 8 9 10 11 18 hh6 q4:what is the major construction material of the external wall? hh6 q4:what is the major construction material of the external wall? hh6 q4:what is the major construction material of the external wall? hh6 q4:what is the major construction material of the external wall? hh6 q4:what is the major construction material of the external wall? 3980 1 thatch, straw 2 mud and poles 3 timber 4 un-burnt bricks with mud 5 burnt bricks with mud 6 burnt bricks with cement 7 cement blocks 8 stones 97 others 98 no response hh6 q4:what is the major construction material of the external wall - other? hh6 q4:what is the major construction material of the external wall - other? hh6 q4:what is the major construction material of the external wall - other? hh6 q4:what is the major construction material of the external wall - other? hh6 q4:what is the major construction material of the external wall - other? 19 CEMENT+ BRICKS AND ALSO UN BURNED BRICKS WITH MUD CEMENT, SHEETS THATCH AND STRAW MUD AND CEMENT NO HOUSE PLASTERED POLES POLES ONLY STICKS AND KAVEERA STRAW UNBURNT BRICKS AND CEMENT UNBURNT BRICKS WITH CEMENT hh6 q5:what is the major construction material of the roof? hh6 q5:what is the major construction material of the roof? hh6 q5:what is the major construction material of the roof? hh6 q5:what is the major construction material of the roof? hh6 q5:what is the major construction material of the roof? 3980 1 thatch, straw 2 iron sheets 3 tiles 97 others 98 no response hh6 q5:what is the major construction material of the roof - other? hh6 q5:what is the major construction material of the roof - other? hh6 q5:what is the major construction material of the roof - other? hh6 q5:what is the major construction material of the roof - other? hh6 q5:what is the major construction material of the roof - other? 3 POLYTHENE PAPERS-LARGE HIGH GRAMAGED KAVERA SHEETS AND THATCH AND STRAW THATCH STRAW, IRONSHEETS hh6 q6:what is the major construction material of the floor? hh6 q6:what is the major construction material of the floor? hh6 q6:what is the major construction material of the floor? hh6 q6:what is the major construction material of the floor? hh6 q6:what is the major construction material of the floor? 3980 1 earth 2 earth and cow dung 3 cement 4 mosaic or tiles 97 others 98 no response hh6 q6:what is the major construction material of the floor - other ? hh6 q6:what is the major construction material of the floor - other ? hh6 q6:what is the major construction material of the floor - other ? hh6 q6:what is the major construction material of the floor - other ? hh6 q6:what is the major construction material of the floor - other ? 21 BANANA FIBRES CEMENT CEMENT AND ALSO EARTH AND COWDUNG CEMENT AND COWDUNG CEMENT AND GRAVELS CONCRETE COWDUNG AND CEMENT GRAVVEL MUD AND COWDUNG NOT YET PLASTERED POLES SAND AND COWDUNG STONES STRAW UNBURNT BRICKS WOOD hh6 q7: what is the main source of water for drinking for you household? hh6 q7: what is the main source of water for drinking for you household? hh6 q7: what is the main source of water for drinking for you household? hh6 q7: what is the main source of water for drinking for you household? hh6 q7: what is the main source of water for drinking for you household? 3980 1 private connection to pipeline 2 public taps 3 bore-hole 4 protected well/spring 5 unprotected well 6 river, stream, lake, pond 7 vendor/ tanker truck 8 gravity flow scheme 9 rain water 97 others 98 no response hh6 q7: what is the main source of water for drinking for you household - other? hh6 q7: what is the main source of water for drinking for you household - other? hh6 q7: what is the main source of water for drinking for you household - other? hh6 q7: what is the main source of water for drinking for you household - other? hh6 q7: what is the main source of water for drinking for you household - other? 12 BOREHOLE DAM DAMS KULU UNPROTECTED SPRING SWAMP UNDERGROUND WELL UNPROTECTED RAINING WATER UNPROTECTED RUNNING WATER hh6 q8: how long does it take to collect drinking water from the main source - o hh6 q8: how long does it take to collect drinking water from the main source - o hh6 q8: how long does it take to collect drinking water from the main source - o hh6 q8: how long does it take to collect drinking water from the main source - o hh6 q8: how long does it take to collect drinking water from the main source - o 3980 1 2 3 4 5 6 7 8 9 10 12 14 15 16 17 18 20 22 25 30 34 35 40 41 42 43 45 46 50 55 60 62 65 70 75 80 90 115 120 150 160 180 195 240 260 300 480 998 don't know/n/a hh6 q8: how long does it take to collect drinking water from the main source - a hh6 q8: how long does it take to collect drinking water from the main source - a hh6 q8: how long does it take to collect drinking water from the main source - a hh6 q8: how long does it take to collect drinking water from the main source - a hh6 q8: how long does it take to collect drinking water from the main source - a 3980 1 2 3 4 5 6 7 8 10 12 13 15 20 25 26 30 35 38 40 45 50 52 55 60 62 70 80 90 120 126 130 140 150 160 180 190 220 240 300 320 360 420 480 998 don't know/n/a hh6 q9:what type of toilet is used in your household? hh6 q9:what type of toilet is used in your household? hh6 q9:what type of toilet is used in your household? hh6 q9:what type of toilet is used in your household? hh6 q9:what type of toilet is used in your household? 3980 1 covered pit latrine private 2 covered pit latrine shared 3 vip latrine private 4 vip latrine shared 5 uncovered pit latrine 6 flush toilet private 7 flush toilet shared 8 bush 97 others 98 no response hh6 q9:what type of toilet is used in your household other? hh6 q9:what type of toilet is used in your household other? hh6 q9:what type of toilet is used in your household other? hh6 q9:what type of toilet is used in your household other? hh6 q9:what type of toilet is used in your household other? 20 DIG HOLES DIGGING OF THE HOLES TO COVER THE WASTES DIGS HOLES AROUND THE HOME HOLES NO TOILET OR LATRINE SHARES WITH A FRIEND SHARES WITH NEIGHBOUR SHARES WITH OTHER FAMILIES SHARES WITH OTHERS SHARES WITH SON SHARES WITH THE NEIGHBOUR SHARES WITH THE SUN SHARING WITH ANOTHER HOUSEHOLD UNCOVERED PIT LATRINE SHARED USES FOR THE NEIBOURS BECAUSE HER'S IS DOWN hh6 q10:is your household connected to an electricity line? hh6 q10:is your household connected to an electricity line? hh6 q10:is your household connected to an electricity line? hh6 q10:is your household connected to an electricity line? hh6 q10:is your household connected to an electricity line? 3980 1 yes 2 no 98 no response/n/a hh6 q11: what is the main source of lighting in your dwelling? hh6 q11: what is the main source of lighting in your dwelling? hh6 q11: what is the main source of lighting in your dwelling? hh6 q11: what is the main source of lighting in your dwelling? hh6 q11: what is the main source of lighting in your dwelling? 3980 1 electricity (grid) 2 electricity (generator) 3 electricity (solar) 4 paraffin lantern 5 tadooba 6 firewood 7 candle 8 battery/rechargable torch/lanter 97 other 98 no response/n/a hh6 q11: what is the main source of lighting in your dwelling other? hh6 q11: what is the main source of lighting in your dwelling other? hh6 q11: what is the main source of lighting in your dwelling other? hh6 q11: what is the main source of lighting in your dwelling other? hh6 q11: what is the main source of lighting in your dwelling other? 70 CANDLES DOES EVERYTHING DURING THE DAY DOESNT LIGHT ANYTHING DRY GRASS ENTERS BED EARLY FIRE WOOD FIREWOOD GRASS GRASSES HE HAS NOTHING LIGHTS USING GRASS MARTCH BOX NATURAL LIGHT NONE SLEEPS AT DUSK SLEEPS EARLY SOLAR SOLAR LAMP hh6 q12: what type of fuel do you use most for cooking? hh6 q12: what type of fuel do you use most for cooking? hh6 q12: what type of fuel do you use most for cooking? hh6 q12: what type of fuel do you use most for cooking? hh6 q12: what type of fuel do you use most for cooking? 3980 1 electricity (grid) 2 electricity (generator) 3 electricity (solar) 4 paraffin/kerosene 5 charcoal 6 firewood 7 gas 97 other 98 no response/n/a hh6 q12: what type of fuel do you use most for cooking - other? hh6 q12: what type of fuel do you use most for cooking - other? hh6 q12: what type of fuel do you use most for cooking - other? hh6 q12: what type of fuel do you use most for cooking - other? hh6 q12: what type of fuel do you use most for cooking - other? 12 DOES NOT COOK DOES NOT WORK DOESN'T COOK DOESN'T COOK AND EATS AT SON'S HOME DOESNT COOK DOESNT COOKING DONT COOK HE DOES OT COOK HE DOESN'T COOK NONE hh6 q13: what type of cooking technology do you use in your household? hh6 q13: what type of cooking technology do you use in your household? hh6 q13: what type of cooking technology do you use in your household? hh6 q13: what type of cooking technology do you use in your household? hh6 q13: what type of cooking technology do you use in your household? 3980 1 traditional stove (sigiri) 2 traditional 3-stone open fire 3 improved charcoal stove 4 improved firewood stove 5 gas stove/cooker 6 paraffin stove 7 electric plate/cooker 97 other 98 no response/n/a hh6 q13: what type of cooking technology do you use in your household - other? hh6 q13: what type of cooking technology do you use in your household - other? hh6 q13: what type of cooking technology do you use in your household - other? hh6 q13: what type of cooking technology do you use in your household - other? hh6 q13: what type of cooking technology do you use in your household - other? 9 COOKS USING FIREWOOD AND CHARCOAL DOESN'T COOK DOESNT COOK HE DOESN'T COOK NO COOKING TECHNOLOGY NONE hh7 q1:who is the respondent for this section? hh7 q1:who is the respondent for this section? hh7 q1:who is the respondent for this section? hh7 q1:who is the respondent for this section? hh7 q1:who is the respondent for this section? 3979 1 1 2 3 4 5 6 7 9 98 n/a 99 refused to answer Sysmiss hh7 q2:have you personally raiseed an issue that is important to them at a commu hh7 q2:have you personally raiseed an issue that is important to them at a commu hh7 q2:have you personally raiseed an issue that is important to them at a commu hh7 q2:have you personally raiseed an issue that is important to them at a commu hh7 q2:have you personally raiseed an issue that is important to them at a commu 3979 1 1 no, would never do this 2 no, but would do if had the chance 3 yes, once or twice 4 yes, several times 5 yes, often 6 don’t know 98 n/a 99 refused to answer Sysmiss hh7 q3:in your opinion how likely is it that you could get together with others hh7 q3:in your opinion how likely is it that you could get together with others hh7 q3:in your opinion how likely is it that you could get together with others hh7 q3:in your opinion how likely is it that you could get together with others hh7 q3:in your opinion how likely is it that you could get together with others 3979 1 1 not likely at all 2 not very likely 3 somewhat likely 4 very likely 5 don’t know 98 n/a 99 refused to answer Sysmiss hh7 q4:do people from outside of your family come to you for advice on any matte hh7 q4:do people from outside of your family come to you for advice on any matte hh7 q4:do people from outside of your family come to you for advice on any matte hh7 q4:do people from outside of your family come to you for advice on any matte hh7 q4:do people from outside of your family come to you for advice on any matte 3980 1 yes, often 2 yes, sometimes 3 yes, rarely 4 no, never 98 n/a 99 refused to answer hh7 q5a:on which step are you today? hh7 q5a:on which step are you today? hh7 q5a:on which step are you today? hh7 q5a:on which step are you today? hh7 q5a:on which step are you today? 3980 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 98 n/a 99 refused to answer hh7 q5b:on which step are most of your neighbours today? hh7 q5b:on which step are most of your neighbours today? hh7 q5b:on which step are most of your neighbours today? hh7 q5b:on which step are most of your neighbours today? hh7 q5b:on which step are most of your neighbours today? 3980 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 98 hh9 q1: does any member of this household currently own any land? hh9 q1: does any member of this household currently own any land? hh9 q1: does any member of this household currently own any land? hh9 q1: does any member of this household currently own any land? hh9 q1: does any member of this household currently own any land? 3980 1 yes 2 no 98 hh9 q2:how many acres are owned in total by members of this household? hh9 q2:how many acres are owned in total by members of this household? hh9 q2:how many acres are owned in total by members of this household? hh9 q2:how many acres are owned in total by members of this household? hh9 q2:how many acres are owned in total by members of this household? 3559 421 998 6.529 46.832 hh9 q3:how many acres of land owned by the household are cultivated for agricult hh9 q3:how many acres of land owned by the household are cultivated for agricult hh9 q3:how many acres of land owned by the household are cultivated for agricult hh9 q3:how many acres of land owned by the household are cultivated for agricult hh9 q3:how many acres of land owned by the household are cultivated for agricult 3559 421 998 8.256 78.364 hh9 q4:how many acres of land owned by the household are currently rented out? hh9 q4:how many acres of land owned by the household are currently rented out? hh9 q4:how many acres of land owned by the household are currently rented out? hh9 q4:how many acres of land owned by the household are currently rented out? hh9 q4:how many acres of land owned by the household are currently rented out? 3559 421 998 54.865 227.106 hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by 3980 1 yes 2 no 98 dk/n/a hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by 966 3014 998 4.878 55.702 hh10 q1: how would you describe the situation of your household now, in terms of hh10 q1: how would you describe the situation of your household now, in terms of hh10 q1: how would you describe the situation of your household now, in terms of hh10 q1: how would you describe the situation of your household now, in terms of hh10 q1: how would you describe the situation of your household now, in terms of 3980 1 doing very well 2 doing well 3 doing just ok 4 struggling 5 unable to meet household needs 98 dk/n/a hh10 q2:compared with a year ago would you say that your household is doing bett hh10 q2:compared with a year ago would you say that your household is doing bett hh10 q2:compared with a year ago would you say that your household is doing bett hh10 q2:compared with a year ago would you say that your household is doing bett hh10 q2:compared with a year ago would you say that your household is doing bett 3957 23 1 a lot better off 2 a little better off 3 about the same 4 a little worse off 5 a lot worse off 6 can’t/won’t say 98 dk/n/a Sysmiss hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? 3855 hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? 1502 2478 1 loss of productive household member (death) 2 loss of productive household member (leaving hh) 3 illness/injury of household member 4 loss of hhs own animals 5 loss of hhs own land or water resources 6 loss of access to land, water or other natural resources for production 7 loss of other productive assets (tools, machinery etc) 8 less income or loss of job 9 less income from animal husbandry, fishing or farming – lower volume of produciton 10 less income from animal husbandry, fishing or farming – higher input costs or lower sales prices 11 less income from animal husbandry, - lower volume of sales 12 less income from other houseold business 13 increased number of dependents 14 large expenditure due to ill health or death of hh member (inc funeral) 15 large expenditure on social obligations 16 increased cost of food 17 increased cost of fuels, transport or other necessities 18 debt repayments 19 loss of aid (ex. ngo programme finishing) 97 other 98 Sysmiss hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? 2502 . AV TRIED GROWING FLOWERS BUT ALOT HAS BEEN DAMAGED BY PEST CANT DIG THE FARM CROPS CULTIVATED ARE WASHED BY RUNNING WATER FROM THE GARDENS DOES NOT HAVE MONEY FOR BASIC NEEDS FLOODS FLOODS AFFECTED THEIR CROPS FOOD IS NOT ENOUGH THIS YEAR GETTING WEAKER EVERYDAY HAD NO FOOD HE AND HIS WIFE ARE SICK HEAVY RAINFALL WASHED AWAY CROPS FROM THE GARDEN HOUSE AND EVRYTHING IN IT GOT BURNT HUNGER,NO CLOTHING I AM GETTING OLD AND WEAK DAY BY DAY I DID NOT GET ENOUGH MONEY TO SEND MY CHILDREN TO SCHOOL I HAVE GROWN OLD AND GOT POOR HEALTH SO CANT WORK AS BEFORE I NO LONGER DIG AND HAVE ENOUGH FOOD LIKE I USED TO I WAS BITTEN BY A SNAKE THEY HAD TO CUT OFF MY LEG IMPRISONMENT OF A HOUSEHOLD MEMBER INCREASE IN FOOD PRICES,ILLNESS AND SICKNESS AND LACK OF CLOTHIN INCREASED COST OF FOOD LACK OF FOOD IN THE HOUSE LACK OF FOOD, LACK OF LAND , SICKNESS LACK OF FOOD, SICKNESS OF THE CHILDREN, ILLNESS LACK OF RAIN FALL LACK OF RELIABLE RAINFALL LARGE EDUCATION EXPENCES AND YET THEY ARE NOT PERFORMING LARGE EXPENDITURE ON EDUCATION LARGE EXPENDITURE ON OTHER ELDER SONS WHO WERE IMPRISONED LATE RETURN OF RAIN INTERFEARED WITH AGRICULTURAL ACTIVITIES LESS FOOD PRODUCTION LESS PROODUCTION LITTLE ABILITY TO PARTICIPATE IN FIELDWORK LOW CROP YIELD LOW OUTPUT FROM AGRICULTURAL PRODUCTS LOW PRICES OF FOOD LOW YIELD FROM CROPS LOW YIELDS MANY RESOURCES HAS BEEN WASTED TO MEET COURT EXPENCES MIGRATED FROM KYENJOJO MIGRATION INTO A NEW PLACE MOST OF CROPS HAVE BEEN AFFECTED BY FLOODS MY AGRICULTURAL PRODUCES WERE STOLEN NO ANIMALS FOR SALE NO CAPITAL FOR BUSINESS. ILLNESS AND SICKNESS. NO EMPLOYMENT NO FOOD NO FOOD , THE LAND IS INFERTILE FOR MATOKE NO FOOD TO EAT NO FOOD TO EAT LEADING TO HUNGER NO FOOD TO EAT THIS YEAR NO FOOD,SICKNESS NO MONEY NO MONEY TO TAKE CARE OF MY OLD MUM NO MONEY TO USE FOR BUILDING NO MONEY,LACK OF FOOD,ILLNESS. NO MUCH PRODUCTION NO PROPER RAINFALL, NO FOOD NO PROPER RAINFALL;POVERTY;POOR YIELD NO RAINFALL, POVERTY NO RAINFALL. LACK OF FOOD. FLOODING. NOT CULTIVATED ANYTHING THIS YEAR SO NO FOOD TO EAT OLD AGE OLD AGE HAS AFFECTED HIS STRANGTH PHISICALLY WEAK AND OFTENLY CANT DIG POOR FARMING METHODS POOR YIELD, POVERTY POOR YIELD. NO MONEY POVERTY, POOR YIELDS RAIN AND BAD WEATER ,DISTANCE FROM HOME RISE IN PRICE OF GOODS SCHOOL HAS BECOME VERY EXPENSIVE AND CHILDREN HAVE TO STUDY SHE IS VERY WEAK TO ACTIVILY PARTICIPATE IN FARM WORK SHORTAGE OF FOOD , LACK OF MONEY SINGLE MOTHER SOME CROPS CULTIVATED WERE SWEPT BY RUNNING WATER STOLE MY MONEY (THEFT),LOSS OF COWS THE HH IS AGEING AND BECOMING WEAKER UNABLE TO WORK THE HOUSE GOT BURNT AND I HAVENT BUILT A SERIOUS HOUSE THE HOUSE HOLD MEMBERS ARE INCREASING AND THE EXPENDITURE THE HOUSEHOLD DID NOT CULTIVATE ANYTHING THIS AGRICULTURAL YEAR THERE ARE NO MONEY IN PEOPLES HANDS, THINGS ARE EXPENSIVE THERE HAS BEEN HUNGER BECAUSE OF LACK OF LAND TO FARM THERE IS ALOT OF HUNGER THERE IS NO ENOUH FOOD STUFF IN THE HOUSE THERE IS NOT ENOUGH FOOD STUFF IN THE HOME THERE IS TOO MUCH SUNSHINE AFFECTING CROPS THERE WAS ENOUGH FOOD PRODUCED LAST YEAR THEREFORE LOW FOOD PRODUCTION THEY DIDNT CULTIVATE ANYTHING THIS AGRICULTURAL SEASON THEY WANT TO CHASE HIM FROM HIS LAND THIS YEAR THE FLOODS HAVE DESTROYED ALL MY FOOD AND HOUSE TOO MUCH RAIN THAT HAS SPOILED THE CROPS IN THE GARDEN TWO MUCH SUNSHINE DESTROYED CROPS VERY OLD AND CANNOT FEED OURSELVES WELL VERY OLD AND WEAK VERY WEAK,NEEDY AND OLD hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? 3627 . A LOT OF RAINFALL WHICH DESTROYED THE CROPS A LOT OF SICKNESS AMONG HH MEMBERS A LOT OF SICKNESS IN THE FAMILY A LOT OF SUNSHINE A LOT OF WATER HAS DESTROYED OUR CROPS ABANDONED KIDS ABSENCE OF GOOD MARKET ACCIDENT ACCUMULATED DEBTS ACUTE TB MY EYES CANT SEE WELL ADVERSE CLIATE , PESTS ADVERSE CLIMATE ADVERSE CLIMATE AFFECTING CROP YIELDS ADVERSE CLIMATE CONDITION ADVERSE CLIMATE NOT GOOD FOR CROPS CAUSING DAMAGE ADVERSE CLIMATIC CONDITION ADVERSE CLIMATIC CONDITIONS ADVERSE CLIMATIC CONDITIONS,NO ENOUGH RAINS FOR CROPS ADVERSE CLIMATIC CONDTION AGE AGE AND MATURE AGEING BREADWINNERS . CHILDREN TAKING ALL THE MONEYFEES AGEING SO CANT WORK AGRI PRODUCE ARE LOW AGRICULTURAL PEST AGRICULTURAL PEST AFFECTING CROPS HENCE LOW PRODUCE AGRICULTURAL PEST DESTROYED BEANS AGRICULTURAL PEST DESTROYED THE BEANS AGRICULTURAL PESTS AGRICULTURAL PESTS AND DISEASES AIDING PROJECT ENDING ALL THE CROPS I HAD CULTIVATED WERE DESTROYED BY THE FLOODS ALOT OF MONEY WAS SPENT ON TREATMENT ALOT OF PEST AND LACKED SEEDS TO PLANT ALOT OF RAINFALL ALOT OF RAINFALL AND INFLATION ALOT OF RAINFALL HAS DESTROYED OUR CROPS ALOT OF RAINFALLS THAT FLOODED AND DESTROYED MY CROPS ALOT OF SUNSHINE ALOT OF SUNSHINE BURNING THE CROPS ALOT OF SUNSHINE SO CROPS ARE DRYING UP ALOT OF SUNSHINE THAT DESTROYS OUR CROPS AM BECOMING WEAK AND SICKLY AM GETTING WEAK OLD TO SURVIVE AM NOW OLD AND WEAK ANIMAL DISEASE WERE JUST TOO MUCH ASMATIC IS CHRONOCAL DISEASE CAUSED NATURALLY AVAILABILITY OF RAINFALL BAD CLIMATE BAD CLIMATE AND POOR SOIL BAD CLIMATE BECAUSE OF TOO MUCH SUNSHINE AND RAINFALL BAD CLIMATE, TOO MUCH SUNSHINE BAD CLIMATIC CHANGE BAD CLIMATIC CONDITION BAD CLIMATIC CONDITIONS BAD ROADS BAD WEATHER BAD WEATHER (FLOODING) BAD WEATHER AND DELAY IN RAINY SEASON BAD WEATHER AND LESS LABOUR FOR FOOD PRODUCTION BAD WEATHER AND RAIN COMING LATE BAD WEATHER CONDITION BAD WEATHER CONDITIONS BAD WEATHER CONDITIONS IN THE AREA BAD WEATHER CONDITIONS THAT DESTROYS CROPS BAD WEATHER WHICH HAS DAMAGED CROPS IN THE GARDEN BAD WEATHER WITH MUCH SUN BAD WETHER CONDITIONS BECAUSE I HAD NOTHING TO SELL AND STRIVE ON BECAUSE OF THE OLD AGE AND SICKNESS I CAN NOT DIG BECAUSE THE FLOODS DESTROYED ALL THE CROPS BECAUSE THE LITTLE MONEY LEFT WAS SPEND ON TREATMENT BEING REDUNDANT DUE TO OLD AGE BODY WEAKNESS AND OLD AGE BODY WEKNESS DUE TO SICKNESS BUSINESS IS DOWN THIS YEAR CALAMITIES/FLOODING CAN NOT TELL WHY THERE IS LOW PRODUCTION OF CROPS CAN'T TELL WHAT IS HAPPENING WITH THE SCHOOL CANCER CANT SAY CANT SAY WHAT WENT WRONG CAR ACCIDENT CHANG IN LIFE CIRCUMSTANCES CHANGE IN CLIMATIC CONDITIONS CHANGE IN FAMILY CHANGE IN FAMILY LIFESTYLE CHANGE IN LIFE CHANGE IN LIFE CIRCUMSTANCE CHANGE IN LIFE AGING BREAD WINNER CHANGE IN LIFE CIRCUMSTANCE CHANGE IN LIFE CIRCUMSTANCES CHANGE IN THE WEATHER CONDITIONS CHANGE OF LIFE CIRCUMSTANCES CHANGE OF WEATHER IS WASN`T FAVOURABLE CHANGES IN CLIMATE PATTERNS IN THE AREA CHANGES IN DEMAND CHANGES IN WEATHER CONDITION CHILDREN GOT MARRIED CLIMATE CLIMATE CHANGE CLIMATE CHANGES CLIMATE DID'NT FAVOUR CROPS CLIMATE FAILURE CLIMATIC CHANGE CLIMATIC CHANGE,LOW PRODUCE MEANS LOW INOME CLIMATIC CHANGES CLIMATIC CONDITION CLIMATIC CONDITION CAUSING FLOODING CLIMATIC FAILURE CONFLICT CONFLICT AMONG CHILDREN OVER LAND CONFLICT BETWEEN TURKANA AND JIE MADE ME RUN TO MOTOTO CONFLICT WITH OTHER RELATIVES-THIEVES CONFLICTS AND MISUNDERSTUNDING CONSTANT CONSTANT LAND WRANGLING CONSTANT SICKNESS CONSTANT SICKNESS HAS LET TO LOW PRODUCTION CROP DISEASE, BANANA DISEASE CROP FAILURE CROPS ARE PRODUCING POOR YIELDS BRCAUSE THEY GET ROTTRN IN THE GARDENS CROPS DESTROYED BY FLOODS CROPS FAILURE CROPS LOST CROPS WERE AFFECTED BY PESTS CROPS WERE DESTROYED DEATH DEATH AND DISEASES DEATH OF A HHOLD MEMBER DEATH OF FAMIMILY MEMBERS DEATH OF FIRST BORN SON WHO WAS PROVIDING FOR THE HHOLD DEATH OF HER HUSBAND RENDERED HIM VULNERABLE DEATH OF HHOLD HEAD DEATH OF HOUSEHOLD HEAD DEATH OF MY HUSBAND DEATH OF THEIR FATHER AND MOTHER DELAYED RAINS HENCE POOR HOUSES DEPARTURE OF HER BELOVED PASTURE AND UNEMPLOYMENT DEPENDS ON OTHER HOUSEHOLDS FOR SUPPORT BECAUSE THE WIFE CANT DO THING DESEASE MALARIA DESTRUCTION CAUSED BY RAINFALL DESTROYED AGRICULTURAL PRODUCT DESTRUCTION OF CROPS BY HAIL STORMS DIABETES (SICKNESS) DIABETTES DID NOT CULTIVATE BECAUSE OF SICKNESS DID NOT CULTIVATE DUE TO SICKNESS DIED OF SICKNESS DISABILITY DISEASE DISEASE (SICKNESS OF THE UTERUS) DISEASE AFFECTING SIRGUM DISEASE AND OLD AGE DISEASE AND SICKNESS DISEASE HENCE AFFECTING WORK DISEASE OF CHILDREN DISEASE OF THE WOMAN CANNOT CULTIVATE BECAUSE OF BODY WEAKNESS DISEASE,COUGH AND FLUE WEAKENED MY BODY DISEASE/ OPERATION DISEASE/PESTS DISEASES DISEASES , NO RAINFALL DISEASES AND SICKNESS DISEASES ATTACKED US DISEASES E.G PRESSURE ,SICKNESS IN THE STOMACH DISEASES HAD BEEN KILLING THEM DISEASES LIKE DIABETIS, OVER SUNSHINE DISEASES LIKE MALARIA DISEASES, OVERSUNSHINE DISEASES, POOR YIELDS DISEASES,TOO MUCH SUN DISEASES/DIABETES DISEASESS DISIESES DON'T KNOW DONT HAVE ENERGY AS AM SICK AND TOO OLD DROUGHT DROUGHT AFFECTED THE FIELDS DROUGHT PROLONGED DROUGHT/TOO MUCH SUN DUE FLOODS DUE TO ALOT OF FLOODS DUE TO BAD ROADS DUE TO CLIMATIC CHANGE DUE TO DALAYED RAINFALL DUE TO FLOODS ALL THE CROPS ARE DESTROYED DUE TO HIGH RAINFALL DUE TO INCREASED DEPENDENTS DUE TO LITTLE RAINFALL DUE TO LOW RAINFALL DUE TO MUCH SUNSHINE DUE TO OLD AGE NO ENERGY DUE TO OLD AGE SHE DOESN'T DO ANY BUSINESS DUE TO RAINS MAKING WATER LODGING DUE TO RENTING LAND WHICH IS NOT FERTILE DUE TO SICKNESS DUE TO SICKNESS SHE CANT WORK LIKE BEFORE DUE TO SICKNESS WE HAVE NOT CULTIVATEE ALOT DUE TO TOO MUCH SUNSHINE EARLY PREGNANCY ECONOMIC ACTIVITIES NOT BOOMING HENCE LOW INCOME ECONOMY IS BAD EFFECTS OF PESTS ELDERLY DISEASES AND STRESS EXTENDED FAMILY FALLEN SICK THAT RENDERED THE WEAK FIGHTING IN THE KARAMOJA REGION FIRST HARVEST WAS DESTROYED FLOOD FLOOD HEAVY RAINS FLOODING FLOODING IN THE GARDENS FLOODING OF GARDEN FLOODING OF GARDENS FLOODS FLOODS DESTROYED THE FOOD FLOODS WASHED AWAY THE CROPS FOOD IS EXPENSIVE FREQUENT ILLNESS FREQUENT SICKNESS OF SPOUSE TO HEAD OF HOUSEHOLD FREQUENT SICKNESS AND ILLNESS FREQUENT SICKNESS OF HOUSEHOLD HEAD GENERAL WEAKNESS IN THE BODY GETTING OLD AND WEAK GETTING OLDER AND WEAK GETTING OLDER. GETTING WEAKER AND OLD GETTING WEAKER EVERY YEAR GOT A MYSTERIOUS ATTACK THAT KILLED HIM GOT AN INJURY GOVERNMENT POLICIES ON FOOD STUFFS GROWING POPULATION HAD NO ONE TO HELP ME WITH FARMING HAIL STONES AFFECTED THE CROPS HD SOLD SOME OF THE ANIMALS HE CHANGED HIS MIND ABOUT ME AND GOT OTHER WOMEN HE HAS BEEN SICK FOR A LONG TIME HE HAS BEEN SICK FOR ALONG TIME HE HAS BEEN SICK FOR THE LAST 5 MONTHS SO HE COULD NOT WORK HE WAS ILL FOR A LONG TIME HEAD OF HOUSEHOLD DOES NOT WORK HEAD OF THE HOUSEHOLD BECAME SICK FOR A PERIOD OF TWO MONTHS HEART PROBLEM HEAVY FLOOD HEAVY FLOODS DESTROYING CROPS HEAVY RAIN DESTROYED CROPS HEAVY RAINFALL HEAVY RAINS CAUSING FLOADING HEAVY RAINS FALL WITHSNOW DESTROYED WHAT WE PLANTED HEE IS WEEK CANT DO ANY THING HIGH COMMODITY PRICES HIGH COST OF FOOD HIGH COST OF FOOD AND INCREASE RESPONSIBILITIES TO GRAND HIGH COST OF LIVING HIGH COST OF LIVING AND BAD CLIMATE HIGH EXPENDITURE ON FEES HIGH EXPENSE ON EDUCATION HIGH SUNSHINE. NO RAINS HIGH TAXES FROM THE GOVT HOUSEHOLD MEMBERS ARE MORE SICKLY HUNGER BROUGHT WEAKNESS AND SICKNESS HUSBAND LEFT HOME AND WENT AWAY HWAKERS WHO MOVE WITH CLOTHES UP TO THE CUSTOMERS I AM AGED AND FEELING WEAKER I AM OLD NOW I DONT DIG FOR MY MEMBERS I AM THE ONLY BREAD WINNER IN THE HOUSEHOLD I BORROWED I CAN NO LONGER DIG MY MY FARM I CAN NOT TELL EXACTLY WHAT THE PROBLEM IS I CANNOT TELL ITS JUST THE NATURE I DEVELOPED WOUNDS IN THE STOMACH I DIDN'T CULTIVATE ENOUGH I DNT HAVE ENERGY I DON'T KNOW SOMETHING HAS CHANGED I DONT HAVE MONEY TO RENT LAND I DONT HAVE MY OWN LAND TO CULTIVATE I FELL SICK SHORTLY AND COULD NOT MANAGE TO DIG ALOT I GOT AN INJURY ON THE LEG WHEN FARMING I HAVE BEEN FALLING SICK A LOT AND CANT FARM MUCH I HAVE GROWN OLD I HAVE LESS ENERGY TO CULTIVATE DUE TO OLD AGE I NO LONGER DIG DUE TO OLD AGE I NO LONGER HAVE ENOUGH ENERGY TO CULTIVATE A BIG PIECE OF LAND I QUARELLED WITH MY WIFE I SPENT ALOT OF TIME IN HOSPITAL,SO I DID NOT CULTIVATE I STATED DIGGING LATE DUE TO TOO MUCH SUN I WAS AMBUSHED I WAS CHASED FROM HOME BY MY PARENTS ICREASED NUMBER OF RESPONDENTS ILLNESS ILLNESS AND POOR CLIMATE ILLNESS FORCED HER O GET LOAN ILLNESS OF HEAD OF HOUSES ILLNESS OF HOUSEHOLD HEAD ILLNESS OF MY DOUGHTER HAD TO TAKE CARE OF HER IN HOSPITAL ILLNESS OF PRODUCTIVE MEMBER ILLNESS OF THE HH HEAD AND WIFE ILLNESS OF THE HOUSEHOLD ILLNESS/ DISEASE ILLNESSS OF THE HEAD OF HH ILNESS OF HOUSEHOLD HEAD IMMIGRATION (MZEE JOINED MY HOUSEHOLD) &HIS FAMILY IMPACT OF CLIMATIC FAILURE INADEQUATE INCOME INADEQUATE LABOUR AND CLIMATIC CONDITION INADEQUATE LABOUR TO CULTIVATE INADEQUATE LAND AREA INCREASE COSTS OF FOOD INCREASE NUMBER OF DEPENDANTS INCREASED EXPENDITURE ESPECIALLY SCHOOL FEES INCREASED NO OF DEPENDANTS INCREASED NUMBER OF DEPENDANTS INCREASED PRICES FOR COMMODITIES INJURED MY LEG THE TIME WAS FETCHING FIRE WOOD INJURY INJURY / DISEASE INJURY /DISEASE INJURY /DISEASES INJURY AND DISEASES INJURY AT THE BACK INJURY DISEASE INJURY/DISEASE INJURY/DISEASES INSUFFICIENT CASH TO MEET BASIC NEEDS ISUFICIENT RAINS IT DID NOT RAIN MUCH IN THE PLACE IT WAS SUNNY IT WAS SUNNY THIS SEASON IWAS SICK EARLY THIS YEAR KIDNEY FAILURE LACK OF A GOOD JOB TO EARN ENOUGH MONEY LACK OF ACCESS TO LAND DUE TO FLOODS LACK OF EMPLOYMENT OR JOBS IN THE ARREARS LACK OF ENOUGH FOOD AND OTHER COMMODITIES LACK OF ENOUGH LAND FOR AGRICULTURE LACK OF ENOUGH MONEY TAKE CARE OF THEM LACK OF ENOUGH SUPPORT LACK OF HUMAN RESOURCES LIKE MAN LABOUR LACK OF INVESTMENT IN THE HH IN THE PAST YEAR LACK OF JOB OPPORTUNITY LACK OF MONEY FOR TREATMENT LACK OF RESOURCES LACK OF RESOURCES FOR CULTIVATING LACK OF STRENGTH TO WORK IN THE GARDEN LAND GETS UNFERTILE AFTER SOME TIME AND NEEDS A BREAK LAND HAS BECOME LESS PRODUCTIVE LAND WRANGLES LARGE NUMBER OF BROTHER LAND INHERITORS WHICH RESULTED IN SHARING OF LAST YEAR I ONLY CONCENTRATED ON COTTON LEADING TO LESS PRODUCTION OF FOOD LESS CUSTOMERS LESS FOOD PRODUCTION IN A WAY I CAN'T REALLY EXPLAIN LESS FOOD PRODUCTION IN AGRICULTURE LESS INCOME, FISHING OR FARMING, LOWER INCOME OF PRODUCTION LESS MARKET FOR THE GOODS AND SERVISCES DUE TO TO DOWN FALL IN THE ACT LESS MONEY GOT FROM THE BUSINESSES DONE BY THE HOUSEHOLD HEAD LESS RESOURCES FOR CULTIVATION AND DISEASES LESS SALES , LOSS ANIMALS LESS SALES,FIRE LESS TRADE, NO BUSINESS IN AREA TO SURVIVE LESS TRADING LESS TRADING ACTIVITIES LESS TRADING ACTIVITY IN THE AREA LESS TRADING IN THE AREA LESS/FEWER CUSTOMERS LIMITED LABOUR FOR CULTIVATION BECAUSE ONE FAMILY MEMBER IS SICK LITTLE INCOME FROM THE HOUSEHOLD LITTLE LAND NO PRODUCT FOR SALE LITTLE RAIN LITTLE RAINFALL LITTLE RAINFALL,SICKNESS,LOW PRODUCTS TO SELL LITTLE RAINNY SEASON LIVESTOCK RAIDED LONG DISTANCE TO LAND FOR CULTIVATION LONG DROUGHT LONG DRY SPELL LONG ILLNESS BY THE SON LONGIME ILLNESS OF PRODUCTIVE HOUSEHOLD LOSS OF ANIMALS LOSS OF ANIMALS WHICH WERE TAKEN BY THE K'JONG OF JIE LOSS OF JOBS LOSS OF PRODUCTS FROM THE GARDENS FOR SALE LOST HOUSEHOLD HEAD WHO COULD HELP GET LAND LOST PRODUCTIVE COWS LOST THE FAMILY MEMBERS LOTS OF BODY PAIN LOTS OF PRODUCTIVE MEMBER OF HHOLD LOW DEMAND IN THE MARKET LOW LAOUR SUPPLY ON AGRICULTURAL PRODUCTION DUE TO OLD AGE LOW MILK PRODUCTION LOW OUTPUT FROM AGRICULTURE LOW OUTPUT FROM FARMING LOW PRODUCE LOW PRODUCTION IN AGRICULTURE LOW PRODUCTIVE INCOME IN TERMS OF SALES LOW RAINFALL LOW YIELD FROM FARM MADNESS WAS NATURAL MAJORITY OF PEOPLE HAD GROWN GROUNDNUTS AND SOYA BEANS, LOW PRICES MALARIA MARKET CLOSED WHERE SHE WAS RUNNING A HOTEL MIGRATION MILD ILLNESS MILD SICKNESS MISUNDERSTANDING/CONFLICT MONEY BECOMING VALUELESS MONKEYS ATE ALL THE GROUNDNUTS AND BEANS MORE SUNSHINE MOST OLD AGE HOUSEHOLD MEMEBRS HAVE LEFT THE HOUSE MUCH SUNSHINE MY CHILDRENS ARE JOINING INSTITUTIONS MY HARDWORK AND ALSO BECAUSE AM DOING WELL MY HSE FELL DUE TO ADVERSE CLIMATIC CONDITIONS MY HUSBAND DIED AND LEFT ME WITHOUT ANY SAVINGS MY HUSBAND HAS MANY WIVES AND CHILDREN MY HUSBAND IS MENTALLY ILL SOMETIMES , SO HE CANNOT WORK MY HUSBAND WAS AWAY FOR SOMETIME SO IT WAS DIFFICULT FOR THE FAMILY MY LAND WAS GRABBED FROM ME AND SOLD OFF MY LEG GOT BROKEN MY NAME WAS SCRAPPED FROM PAY ROLL MY SICK AND DISABLED NOTT ABLE TO CULTIVATE MY SON LOST THE WIFE MY STRENGTH IS NOW WEAKENED MY TRANSFER TO ANOTHER SUB- COUNTRY MY WIFE LEFT AND I HAD STRUGGLE TO LOOK FOR HER (SPENT ALOT) MY WIFE WAS OPERATED AND STOPPED FROM WORKING NATURAL CAUSE NATURAL CAUSES NATURAL DISEASES NATURAL SICKNESS NATURE NEVER WORKS DUE TO OLD AGE NO ASSETS IN HOUSEHOLD/UNRESOURCEFUL HOUSEHOLD NO ASSETS TO GENERATE INCOME,NO LAND NO ASSETS, CHANGE IN NATURE AND LIFE NO BUSINESS, NO SALES FROM THE GARDEN NO BUYERS NO CAPITAL TO RUN THE BUSINESS,LOSS OF LIVESTOCK NO EMPLOYMENT OPPORTUNITIES IN THE AREA NO FARM NO FLOODS NO FOOD PRODUCED ON TIME FOR SALE NO JOB AND NOTHING TO SELL NO JOBS,NO SALES FROM AGRICULTURE NO LAND FOR AGRICULTURE NO MARKETS FOR OUR PRODUCE NO MONEY NO MONEY FOR US TO PURCHASE FOOD IN THE LOCAL MARKET NO MONEY FOR US TO PURCHASE GOODS FROM THE MARKET NO MONEY TO PAY PEOPLE TO WORK FOR HER,NEITHA FOR BUILDING NO MONEY TO RENT LAND FOR CULTIVATION NO ONE HAS A JOB TO EARN MONEY TO HELP THE HOUSEHOLD NO OR LESS JOB OPP TO EARN INCOME NO PRODUCTIVE ASSET,WEAK PHYSICALLY NO RAIN AND IT CAME LATE NO RAIN SO FISHING IS DIFFICULT NO RAINFALL NO RAINFALL, OVER SUNSHINE NO RAINRFALL,ACCIDENT NO RAINS ON THE LAND NO SALES NO TIME FOR ME TO GO AND LOOK FOR MONEY BECAUSE OF CHILDREN NO WAY OF GETTING MONEY THROUGH WORK NO WORK TO DO NOTHING TO SELL AS CROPS WERE NOT DOING WELL OFTEN SICKNESS OLD AGE OLD AGE ,DISEASES OLD AGE AFTER ILLNESS OLD AGE AND DISEASES OLD AGE AND GENERAL BODY WEAKNESS OLD AGE AND GETTING WEAK OLD AGE AND HENCE CAUSING DISEASES AND DISSABILITIES OLD AGE AND LACK OF FARM EQUIPMENT OLD AGE AND NATURE OLD AGE AND POOR HEALTH OLD AGE AND SICKNESS OLD AGE AS A RESULT OF DISEASE,NO MONEY OLD AGE CAUSING LESS ENERGY FOR FARMING OLD AGE IS AFFECTING THEIR DAILY ACTIVITIES OLD AGE SICKNESS OLD AGE THAT HAS NOW WEAKENED ME OLD AGE/ DISEASE OLD AGE/DISEASE OLD WOMAN,LIMITED HELP OLDAGE OLDM AGE OLG GAE, DISEASES ONLY FEW PEOPLE ARE ENGAGED IN FARMING ONLY ONE PERSON DIGGING FOR THE HOUSE OUR LAND WAS CONFISCATED OVER CULTIVATION ON THE SAME LAND OVER SUNSHINE PAIN IN THE CHEST AND TOO MUCH HEADACHE PASISTANCE SICKNESS PASSED ON (WIFE) PEOPLE BUY MY PRODUCT AT A CHEAPER PRICE THUS LITTLE MONEY IN MY HOME PEOPLE COME FROM DIFFERENT ANGLES TO BUY FOOD FROM THIS AREA PERSISTENCE SICKNESS PEST PEST AFFECT THE CROPS PEST AFFECTED THE CROP PEST AFFECTED THE CROPS PEST DESTROYED CROPS PEST DESTROYED OUR CROPS PEST HAV AFFECTED THE CROPS PEST HAVE AFFECTED PEST HAVE AFFECTED THE CROPS PEST IN THR GARDEN PEST OF DISEASE HAS SO MUCH AFFECTED IT PESTS PESTS AFFECED THE PLANTATION PESTS AFFECTED PESTS AFFECTED CROPS PESTS AFFECTED THE CROPS PESTS AND DISEASES PESTS AND DISEASES AFFECTING CROPS PESTS AND DISEASES AFFECTING THE YIELD PESTS AND DROUGHT PESTS DESTROYED OUR CROPS PESTS HAVE AFFECTED THE CROPS PESTS IN AGRICULTURE, BAD WEATHER PESTS STRUCK MY GARDEN AND DESTROYED MY CROP PESTS THAT ATTACKED OUR CROPS PESTS THAT EATS OUR CROPS PLANTED CROPS LATE POOR CLIMATE POOR CLIMATE CONDITION AND PEST POOR CLIMATE, LESS PRODUCE POOR CLIMATIC CONDITION POOR CLIMATIC CONDITIONS POOR HEALTH POOR HERVEST POOR RAINS POOR ROADS POOR WEATHER POOR WEATHER CONDITION POOR WEATHER SO NO FOOD IN ABUNDANCE POOR YIELDS POOR YIELDS FROM GARDENS POOR/BAD WEATHER POVERTY POVERTY AND BAD WEATHER CONDITION PRICE FLACTUATION IN THE MARKET PRODUCED MORE SOLD AT AVERY LOW COST HENCE UNABLE TO MAKE SAVING RAIN CAME BACK LATE RAIN COME BACK LATE RAIN COMEBACK LATE, TOO MUCH SUNSHINE RAIN HAS DESTROYED WHAT WE PLANTED RAIN WAS INADEQUATE RAIN WAS LATE RAINFALL RAINFALL COME LATE FOR US RAINFALL DELAY RAINFALL THAT HAS BEEN TOO MUCH RAINS DESTROYED THE CROPS RAINS WERE SCARCE RETIRED RITIRED BREAD WINNER , LESS SAKES SEPARATION FROM THE HUSBAND SEPARATION WITH HUSBAND SEVER SICKNESS OF A PRODUCTIVE HOUSE HOLD MEMBER SEVERE SICKNESS AMONG THE HOUSEHOLD MEMBERS SHE CANNOT PROVIDE FOR ALL HER DEPENDANT SHE DIED OF PRESSURE SHE FELL SICK AND ALL THE MONEY WAS USED FOR TREATMENT SHE GOT BURNT BUT AFTERWARDS SHE HAD AMEMOMIA SHE HAS BEEN DOWN FOR SOMETIME YET SHE IS THE MAIN PERSON SHE HAS BEEN SICK SHE HAS BEEN SICK FOR SOME TIME SHE HAS BEEN SICK FOR THE LAST 3 YEARS SHE HAS BEEN SICKLING SHE HAS BODY PAIN ALL OVER SHE IS SICK SHE IS WEAK DUE TO OLD GAE , SHE NO LONGER WORKS SHE NO LONGER WORKS DUE TO OLD AGE SHE NO LONGER WORKS LIKE BEFORE DUE TO OLD AGE SHE NOLONGER WORKS DUE TO OLD AGE SHORTAGE OF FOOD DUE TO THE SUNSHINE WHICH DESTROYED MOST CROPS SHORTAGE OF RESOURCES FOR CULTIVATING SICK SICK CHILD SICKNESS SICKNESS /OLD AGE SICKNESS AND DISEASE SICKNESS AND ELDERLY SICKNESS AND ILLNESS OF THE CHEST SICKNESS AND LESS MAN LABOUR WORKING OR HARVING JOBS SICKNESS AND NO ONE TO HELP HER CULTIVATE SICKNESS AND OLD AGE SICKNESS COMES NATURALLY ULCERS SICKNESS DUE TO DISLOCATION OF THE HAND SICKNESS DUE TO OLD AGE SICKNESS FOR A LONG TIME SICKNESS HAS MADE HAS TO HAVE NO TIME TO CULTIVATE SICKNESS ILLNESS OF THE HOUSEHOLD HEAD SICKNESS IN THE HOUSE SICKNESS INTHE FAMILY SICKNESS MADE THE HOUSE HOLD MEMBER FAIL TO CULTIVATE SICKNESS MADE THE MEMBERS FAIL TO CULTIVATE SICKNESS OF A HOUSEHOLD HEAD SICKNESS OF ANIMALS AND RESISTANCE TO MEDICINE SICKNESS OF HEAD OF HOUSE AND HIS SON SICKNESS OF HEAD OF THE HH SICKNESS OF HOUSEHOLD HEAD CONSTANTLY SICKNESS OF HOUSEHOLD MEMBERS SICKNESS OF THE HHOLD HEAD SICKNESS OF THE HOUSEHOLD HEAD SICKNESS SO WE DINT DIG SICKNESS THAT HAS PERSISTED SICKNESS THAT STOPED ME FROM WORKING SICKNESS WHICH CAUSED THE DEATH OF THE MOTHER SICKNESS WHICH HAS PREVENTED ME FROM CULTIVATING SICKNESS WHICH RETARDS MY NORMAL AGRICULTURAL ACTIVITIES SICKNESS,DEATH OF ANIMALS,OLD AGE SICKNESS/DISEASES E.G LANG CANCER SICKNESS/OLD AGE SICKNESSAND OLD AGE,NO ONE TO HELP CULTIVATE SICNESS OF HOUSE HOLD HEAD AND SPOUSE SOME INSECTS AFFECTED THE CROPS SOME MEMBERS ARE NOT NOW PRODUCTIVE SOME WORMS DESTROYED THE BEANS TOTALLY THIS YEAR SONS WERE IMPRISONED SUNNY CONDITIONS LED TO UNTIMELY PLANTING SUNSHINE LAST SEASON WAS TOO MUCH SUNSHINE WAS A PROBLEM IN THIS AREA SUNSHINE WAS MUCH THAT MADE ITEXPENSIVE SUNSHINE WAS TOO MUCH SUNSHINE WAS TOO MUCH LAST SEASON THIS YEAR SWOLLEN LEG WHICH DOESN'T ENABLE ME TO DIG VERY MUCH THAT WAS THEIR SEASON THE BAD CLIMATIC CONDITIONS THE BAD WEATHER CHANGE THE BODY IS WEAK AND OLD AGE SO SHE CSNT DO ANYTHING BY HERSELF. THE BREAD WINNER IS SICK OF KIDNEY FAILURE THE CHANGES IN CONDITIONS LIKE NETS THE CLIMATE CHANGED DRASTICALLY THE CLIMATE HAS NOT BEEN FAVOURABLE FOR FOOD PRODUCTION THE CLIMATE WAS NOT FAVOURABLE THE CLIMATIC CONDITION DID NOT ENABLE THE CROPS YIELD HIGHLY THE CLIMATIC CONDITIONS WERE UNFAVOURABLE THE CORESPONDENTS BULL WAS STOLEN AND SPENT ALOT TO GET BACK THE COST OF LIVING IS HIGH THE CROPS ARE IMMATURE THE CROPS WERE ATTACKED BY PESTS AND BAD CLIMATE THE DEATH OF TH EHEAD OF THE FAMILY (HUSBAND) THE DEATH OF THE FATHER AND NOW IS THE MOTHER STRUGGLING A LONE THE DROUGHT HAS AFFECTED OUR AGRICULTURE PRODUCE THE FERMINE LAST SEASON THE FLODS WASHED AWAY THE CROPS THE FLOODS DESTROYED CROPS THE FLOODS WASHED AWAY THE CROPS THE HEAVY RAINS CREATED RIVERS IN THE GARDENS THE HOUSE GOT BURNT AND EVERY THING GOT BURNT IN IT THE HUSBAND HAS BEEN SICK FOR A LONG TIME,SO SHE WORKS A LONE THE HUSBAND IS WEAK DUE TO SICKNESS THE LAND IS NOT CULTIVATED THE LAND IS NOW UNFERTILE THE MAN HAS MARRIED ANOTHER WIFE WITH MANY KIDS THE MONEY MY HUSBAND HAD LEFT GOT OVER THE MOUTH IS SWOLLEN.OTHE BODY PAINS MY WAIST.I DONT SEE WEL THE OLD AGE AND ILLNESS HENCE BEING WEAK THE OUT PUT OF AGRICULTURAL PRODUCT IS LOW HENCE REDUCT IN INCOME THE PEST AFFECTED TH E CROPS THE PEST AFFECTED THE CROPS THE RAIN CAME ABIT LATE THIS YEAR THE RAIN DESTROYED THE CROPS THE RAIN HAS AFFECTED MOST OF OUR CROPS THE RAIN RETURNED LATE WHICH DID NOT FAVOUR CROP GROWN THE RAIN SWEPT AWAY CROPS IN THE GARDEN THE RAINS ARE TOO MUCH THE RAINS CAME BACK LATE THE RAINS CAME IN ABIT LATE THE RAINS CAME LATE WHICH DID NOT FAVOUR THE CROPS THE RAINS HAVE DESTROYED EVERYTHING IN THE GARDEN THE RAINS HAVE NOT BEEN CONSISTENT THE RAINS RETURNED OUT LATE THIS YEAR THE RAINS WERE ENOUGH THE RAINS WERE SO HEAVY THE RAINS WERE VERY HEAVY WHICH AFFECTED THE CROPS THE ROADS ARE NOT GOOD TO TRANSPORT GOODS FOR SALE THE SEASON IS VERY BAD BECAUSE THERE IS LOW FOOD PRODUCTION FOR SALES THE SICKNESS OF THE HEAD OF THE HOUSEHOLD THE SICKNESS OF THE SPOUSE TOOK MUCH MONEY THE SUN DESTROYED THE BEANS IN JUNE THIS YEAR THE SUN WAS VERY HOT THE SUNSHINE WAS NOT FEVOURABLE THIS YEAR THE SUNSHINE WAS TOO MUCH THROUGH OUT THE YEAR THE UNFAVOURABLE CLIMATIC CONDITION THE WEATHER IS NOT FAVOURABLE FOR HER THE WEATHER IS NOT FAVOURABLE FOR THE ANIMAL THE WEATHER WAS NOT GOOD THEINJURIES HAS MADE MY YEARS WORSE THEIR PARENTS DIED THERE ARE FEW TRADERS HENCE LOWER PRICES THERE ARE MANY BUYERS AND SELLERS OF THE SAME PRODUCT THERE HAS BEEN ALOT OF RAIN THIS YEAR THAT CAUSED ALOT OF DAMAGE THERE HAS BEEN ALOT OF RAINFALL THERE HAS BEEN ALOT OF SUNSHINE THIS YEAR THERE IS LITTLE FOOD PRODUCTION THERE IS NO ENOUGH LAND TO CULTIVATE THIS YEAR THERE IS NO WORK ESPECIALLY LABOR WE OFFER IN THE GARDENS THERE IS POOR HARVEST THERE IS TOO MUCH SICKNESS THERE WAS A PROLONGED DRY SEASON THERE WAS LITTLE RAIN THIS YEAR THERE WAS NO RAIN EARLY THIS YEAR THERE WAS TOO MUCH RAIN WHICH DESTROYED THE CROPS THERE WERE A LOT OF RAINFALL THAT MADE CROPS TO ROT THESE IS DUE TO CHANGES IN WEATHER CONDITION THEY HAVE FAILED TO FIND OUT WHAT AM SUFFERING FROM THINK IT'S BECAUSE OF THE HIGH RAINFALL THIS HAS BEEN CAUSED BY FLOOD THIS IS BECAUSE OF BAD WEATHER THERE HAS BEEN A LOT OF SUNSHINE THIS IS DUE TO MUCH SICKNESS THIS IS DUE TO OLD AGE SICKNESS THIS YEAR WE OVER WORKED TO MUCH SUNSHINE WHICH DRIED UP THE BEANS TOO MUCH SUNSHINE TOO MUCH DISEASE TOO MUCH DRY SEASON TOO MUCH FLOODS AND RAINS TOO MUCH FLOODS SO MOST OF OUR FOODWAS DESTROYED TOO MUCH RAIN TOO MUCH RAIN DESTROYING SUNFLOWER TOO MUCH RAIN SPOILING CROPS TOO MUCH RAIN WHICH HAS SPREAD MALARIA TOO MUCH RAINFALL TOO MUCH RAINFALL AND IT DESTOYED BEANS TOO MUCH RAINFALL CAME AND SWEPT AWAY OUR GARDEN TOO MUCH RAINFALL CAUSE FLOODS TOO MUCH RAINFALL HAS AFFECTED MY CROPS ALOT TOO MUCH RAINFALL MAKING BEANS NOT TO GROW WELL TOO MUCH RAINFALL SPOILT THE CROPS TOO MUCH RAINFALL THAT HAVE CAUSED THE GARDENS TO FLOOD TOO MUCH RAINFALL THIS YEAR SPOILT THE CROPS TOO MUCH RAINFALL THUS DESTROYING THE BEANS TOO MUCH RAINFALL UNFAVORABLE CLIMATIC CONDITION TOO MUCH RAINFALL WHICH DESTOYED THE BEANS TOO MUCH RAINFALL/FLLODS WHICH DSTROYED CROPS TOO MUCH RAINS TOO MUCH RAINS HENCE DESTROYING THE BEANS TOO MUCH RAINS LATELY TOO MUCH RAINS THAT FLOADED THE SWAMP WHERE RICE COULD GROW TOO MUCH SICKNESS AND BODY WEAKNESS TOO MUCH SUN AS WEL TOO MUCH SUN SHINE TOO MUCH SUN THIS MONTHS TOO MUCH SUN WHICH DESTROYED TOO MUCH SUN. RAIN CAME LATE BUT STOPPED. TOO MUCH SUNSHINE TOO MUCH SUNSHINE AND BAD RAINNY SEASON TOO MUCH SUNSHINE AND ILLNESS OF HOUSEHOLD HEAD TOO MUCH SUNSHINE AND THE CROPS ARE DRYING.THERE IS NO RAIN TOO MUCH SUNSHINE BURNT ALL THE CROPS TOO MUCH SUNSHINE DESTROYING THE GROUNDNUTS PEAS TOO MUCH SUNSHINE HENCE DRYING UP BEANS TOO MUCH SUNSHINE LAST YEAR TOO MUCH SUNSHINE THAT DAMAGED A LOT OF CROPS TOO MUCH SUNSHINE THAT DRIED ALL THE CASSAVA THAT WE PLANTED TOO MUCH SUNSHINE THAT HAS DAMAGED ALL THE PRODUCE TOO MUCH SUNSHINE UPTO APRIL THEN IN JULY TOO MUCH SUNSHINE WHICH DESTROYS CROPS TOO MUCH SUNSHINE WHICH HAS DSTROYED THE GROUNDNUTS, SIMSIM TOO MUCH SUNSHINE. CLIMATE NOT GOOD. TOO OLD TOO OLD AND SICK TOO OLD AND SICKNESS PROBLEMS TOO OLD AND THERE IS NO MONEY FOR FULL TREATMENT TOO OLD AND YET I DO ALOT OF WORK TOO OLD TO DIG,DEPEND ON MY CHILDREN TOWN COUNCIL SEIZED THE OPERATION OF HER BUSINESS TRADERS COME FROM DIFFERENT PLACES TO BUY FOOD TRADERS COME FROM DIFFERENT PLACES TO BUY FOOD HERE TREATING SICKNESSES UFAVOURABLE WEATHER ULCERS UNFAVORABLE CLIMATIC CONDITIONS UNFAVOURABLE CLIMATE UNFAVOURABLE CLIMATE BUT I HAD CULTIVATED MY LAND UNFAVOURABLE CLIMATE CONDITION IN THE AREA UNFAVOURABLE WEATHER CONDITION UNFAVOURABLE WEATHER CONDITIONS UNFERTILE LAND BECAUSE OF THE WEATHER UNFERTILE LAND,UNAVAILABILITY OF LAND TO FARM IN VERY OLD AND SICK DISABLED VERY POOR WAR WAS ILL COULD NOT CONCENTRATE ON AGRICULTURE WAS SICKLY WAT WE HAVE PLANTED IN THIS YEAR ARE NOT READY FOR CONSUMPTION WE ARE NOW GROWING OLD WE ARE NOW WEAK WE CONSUME BUT DID NOT MANAGE TO REPLANT WE HAD ALOT OF COMPETITION WE PLANTED LITTLE CASSAVA BECAUSE WE DID NOT HAVE ENOUGH MONEY WE WERE HIT BY HEAVY RAINS THAT DESTROYED OUR CROPS WEAK PHYSICALLY WEAKNESS DUE TO OLD AGE WEAKNESS DUE TO SICKNESS WEAKNESS IN BODY, DISEASE THAT LEAD TO HIGH EXPENDITURE WEATHER CHANGES WEATHER WAS NOT FAVOURABLE WENT TO LOOK FOR GREENER PASTURES WHAT WE HAVE IN THE GARDEN ARE STILL YOUNG WIFE IS SICK AND OLD WIFE WAS SICK FOR ONE MONTH AND EVENTUALLY DIED hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? 1522 2458 1 loss of productive household member (death) 2 loss of productive household member (leaving hh) 3 illness/injury of household member 4 loss of hhs own animals 5 loss of hhs own land or water resources 6 loss of access to land, water or other natural resources for production 7 loss of other productive assets (tools, machinery etc) 8 less income or loss of job 9 less income from animal husbandry, fishing or farming – lower volume of production 10 less income from animal husbandry, fishing or farming – higher costs or lower sales prices 11 less income from animal husbandry, - lower volume of sales 12 less income from other houseold business 13 increased number of dependents 14 large expenditure due to ill health or death of hh member (inc funeral) 15 large expenditure on social obligations 16 increased cost of food 17 increased cost of fuels, transport or other necessities 18 debt repayments 19 loss of aid (ex. ngo programme finishing) 97 other (specify) 98 Sysmiss hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? 2561 . A LOT OF RAIN THAT DETROYED OUR CROPS AGE AM ALONE IN THE HOUSE AM GETTING OLD ANIMALS DESTROYED CROPS ANIMALS DISEASES ASSETS REDUCING CONTINUOUSLY BAD ROAD BAD ROADS BAD ROADS TO THE MARKET BAD WEATHER THAT AFFECTED THE CROPS BANK TOOK OVER THE HOUSEHLD PROPERTY BIG FAMILY BODY WEAKNESS AND LESS LABOUR FOR CULTIVATION CANT AFFORD SEEDS CHANGE OF WEATHER AND OLD AGE COMPETITION INCREASED COSTLY RENTING LAND FOR FARMING CROPS ARE DYING IN GARDENS CULTIVATED BEANS TOGETHER WITH THE CASSAVA CULTIVATED LATE DEATH OF HIS SON WHO HAD MANY CHILDREN DEATH OF HUSBAND DEATH OF MY DAUGHTER DEATH OF PARENTS KIDS DEATH OF THE HUSBAND DECREASE IN MONEY VALUE. CANT MAKE ANY SAVINGS. DISEASE,WEAKNESS IN DIGGING DISEASES DIVORCE Y THE PARENTS DOMESYTIC ANIMALS DESTROYED THE CROPS DON'T KNOW DUE TO LACK OF ENOUGH LABOUR OXEN EDUCATION FARMING WITHOUT USING MACHINES IS TIRESOME FEES FERTILE SOIL FLOODS AFFECTED THE CROPS FLOODS AND LOSS OF LAND FLOODS WASHED AWAY THE CROPS GETTING OLD GETTING WEAK DAY BY DAY GOT THE BULLS FOR CULTIVATION BUT WHAT THEY CULTIVATED WAS AFFECTE GOVERNMENT HAS MADE THIS YEAR WORSE HEAD OF HHOLD HAD AN ACCIDENT HAMPERED THE NORMAL FUNCTIONING HEAD OF THE HOUSEHOLD DOES NOT WORK SINCE HE IS VERY OLD HIGH SCHOOL FEES BURDEN HIGH TAXES HOUSEHOLD HEAD IS VERY OLD AND CANT SUSTAIN THE BIG HOUSEHOLD HUNGER I AM SICK AND CANNOT CULTIVATE BECAUSE STOMACH IS SWOLLEN I DID NOT GET THE MONEY I WANTED I HAVE A LOT OF DEPENDANTS NOW. I HAVE M,ANY ORPHANS GRAND CHILDREN IMPRISONMENT OF MAIN INCOME EARNER(HUSBAND) INCREASE IN NUMBER OF SCHOOL GOING CHILDREN INCREASE IN THE NUMBER OF CHILDREN IN HIGH SCHOOLS INCRESE IN SCHOOL FEES FOR THE CHILDREN INFLATION INFLATION AND DEPENDENTS IT WAS A BAD SEASON WHERE PEST WHERE SO MANY LACK OF CAPITAL TO RE-INVENT IN THE LAND LACK OF ENOUGH LABOR/OXEN LACK OF FARMING MANPOWER LACK OF GARDENING TOOLS LACK OF LAND LACK OF LAND FOR THE FAMILY LACK OF LAND TO CULTIVATE LACK OF MAN POWER TO PRODUCE AGRICULTURAL PRODUCTS LACK OF MARKET FOR PRODUCE LACK OF PETTY JOBS LACK OF WHAT TO BE CULTIVATED LACKED WHAT TO DO AS A RESULT OF BEING ROBBED LAND FRAGMENTATION(DIDN'T GET LAND DURING DIVISION) LAND SHORTGAGE LAND WAS GIVEN FREELY BY ELDER BROTHERS LAST YEAR THEY WERE GIVEN FREE LAND UNLIKE THIS YEAR LESS FERTILE SOILS LESS LABOUR IN THE AGRICULTUR FIELD LOSS OF A JOB BY THE HOUSEHOLD HEAD LOW DEMAND LOW PRODUCTION, NO MACHINERY TO PRODUCE MOST OF THEM ARE REPEATING CLASSES MY HUSBAND LEFT ME WITH MY CHILDREN AND NATURE NATURE CAUSE NIFERTILE LAND LOW CAPITAL NO ABILITY TO GET RESOURCES FOR PRACTISING AGRICULTURE NO CAPITAL TO START ANY BUSINESS NO EDUCATION NO FARM LAND NO JOB AT ALL(CATTLE KEEPER) NO JOBS AT THE MOMENT NO LAND FOR AGRICULTURE NO LAND FOR CULTIVATION NO LAND FOR US TO FARM NO LAND TO CULTIVATE NO MONEY FOR US TO RENT LAND NO MONEY, NO RAINFALL NO ONE HAS A GOOD JOB TO EARN THEM MONEY FOR A LIVING IN THE HOUSE NO ONE TO HELP ME DIG MY GARDEN NO OXPLOUGH (POVERTY) NO PROPER RAINFALL NO RAINFALL NO SALES,NO BUSINESS OLD AGE OVER PRODUCTION OVER SUNSHINE PLANTED FEW CROPS THIS YEAR PLANTED LATE LEADING TO LOW PRODUCE POOR FARMING METHODS POOR SOILS DUE TO OVER CULTIVATION POOR TRANSPORT POOR YIELDS POOR YIELDS,DISEASES AND LACK OF MONEY POVERTY PRICE FRACTUATION PRICE OF COMMODITIES IS POOR RED ANTS ENTERED THE HOUSE ON TRYING TO BURN THEM I BURNT MY HOUSE SHE DID'NN PLAN WELL TO DO TIMELY PLANTING OF CROPS SHE WORKS ALONE SHORT OF LAND , LAND GRABING T LAST YEAR THE CHILD BURNT THE HSE THE FLOODS WASHED AWAY THE CROPPS THE FLOODS WASHED AWAY THE CROPS THE GARDEN IS NOW NOT PRODUCTIVE ENOUGH THE HOUSEHOLD MEMBER IS TOO OLD TO CULTIVATE THE SOIL IS EXHAUSTED THE STOCK GOT FINISHED THE SUNFLOWER WAS OF LOWER PRICES THE WEATHER AND INADEQUATE OF MONEY THEFT THEFT OF PROPERTY AND LIVESTOCK THEFTY THERE IS NO ENOUGH SECURITY IN THIS VILLAGE THERE WAS ALOT OF DEATH AND I HAD TO ATTEND TO THEM THERE WAS NOTHING TO CULTIVATE TOO MANY CHILDREN TO LOOK AFTER TOO OLD AND WEAK TO WORK AND EARN A LIVING UNFAVARABLE MARKETING UNFERTILE SOIL USED FOR MARRIAGE WATER FROM THE LAKE HAS FLOODED THE GARDEN. WATER FROM THE SWAMP DESTROYED THE CROPS WE HAVE SHORTAGE OF WATER FOR DRINKING WITCHCRAFT hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? 3898 . A HAVE BOUGHT A LAND AND STARED BUILDING A HOUSE A LOT OF FARM PRODUCE ARE REALIZED A YEAR AGO THERE WAS NOT ENOUGH TO EAT A YEAR AGO THERE WAS NOTHING TO EAT DUE TO LOW PRODUCTION A YEAR AGO WE HAD ILLNESS WE COULDNT FARM ABLE TO GET FOOD UNLIKE BEFORE ABLE TO GET GOOD HARVEST FROM AGRICULTURE ABLE TO HAVE A GOOD HARVEST ABLE TO MEET FAMILY DEMANDS ABLE TO MEET FAMILY NEEDS ABLE TO OBTAIN FOOD DUE TO AGRICULTURE THIS YEAR THAT IS O.K ADEQUATE FOOD AGRICULTURAL PRODUCTION IS HIGH THIS YEAR COMPARED TO LAST YEAR AGRICULTURAL PRODUCTION MUCH HIGHER, NO MAJOR SICKNESS AGRICULTURAL WERE SOLD AND THE MONEY BE USED TO MEET HH NEEDS AGRICULTURE AGRICULTURE HAS BOOSTED UP SO ABLE TO GET FOOD AGRICULTURE PRODUCTION IS HIGH AID FROM GOVERNMENT AM ABLE TO GET FOOD TO EAT AS THE HARVEST WAS GOOD BECAUSE OF GOOD WEATH AM BETTER BECAUSE MY HEALTH IS IMPROVED AND I CAN NOW DO SOME WORK AN INCREASE IN INCOME AT THIS YEAR I HAVE FOOD TO EAT COMPARED TO LAST YEAR ATLEAST THIS YEAR WE HAVE FOOD IN THE GARDEN ATLEAST WE HAVE ABETTER HARVEST THIS YEAR AVAILABILITY OF FOOD BECAUSE I'VE GOT ENOUGH HARVEST THAT HAS IMPROVED MY LIFE BEEN ABLE TO WORK ON HOUSEHOLD FARM BETTER ACCESS TO LAND OR OTHER NATURAL RESOURCES FOR PRODUCTION BETTER ACCESS TO LAND WATER RESOURCES BETTER ACCESS TO WATER AND OTHER NATRAL RESOURCES BETTER AGRICULTURAL HARVEST BETTER AGRICULTURAL PRODUCTION BETTER AGRICULTURAL PRODUCTS BETTER FOOD PRODUCTION BETTER HARVEST THIS YEAR BETTER HERVEST COMPARED TO LAST YEAR BETTER PAYING JOB BETTER PRODUCTION IN THE FIELD OF AGRICULTURE BETTER PRODUCTION OF MAIZE BETTER PRODUCTION YIELDS BETTER VOLUME OF AGRICULTURAL PRODUCTION BETTER YIELD BETTER YIELDS BOUGHT 3 GOATS AND 3 CHICKEN BOUGHT A COW BOUGHT LAND BOUGHT LIVESTOCK ,INCREASE IN AGRICULTURE BOUGHT LIVESTOCK AND FOOD PRODUCTS BOUGHT LIVESTOCK, INCREASE AGRICULTURAL INPUTS BUMPER HARVEST CAN AFORD BASIC NEEDS ATHOME CAN MAKE SAVINGS AND HAVE FOOD SECURITY CHILDREN HAVE BETTER HEALTH THIS YEAR COMPARED TO LAST YEAR,GOOD HARVEST CHILDREN HAVE FINISHED SCHOOL AND ARE HELPING ME CHILDREN SUPPORT HER WITH MONEY,AGRICULTURE PAYING SCHOOL FEES CROPS ARE DOING WELL THIS YEAR CROPS NOT HARVESTED BECAUSE IT WAS NOT READY THIS YEAR IT HAS BLOSSOMED CROPS WERE DESTROYED BY ANIMALS DAD GOT A BETTER PAYING JOB DOING AGRICULTURE AND FARMING DUE TO IMPROVED INCOMES FROM BUSINESS AND INVESTMENTS MADE ENOUGH FOOD ENOUGH FOOD IN THE HOUSE ENOUGH RAINS AND NO FOODS AS COMPARED TO LAST YEAR ESTABLISHED A BUSINESS SO AM ABLE TO EARN MONEY FAIR HARVEST FAIR HARVEST THIS YEAR AND RELIEF FROM WFP FARM PRODUCTS ARE BETTER THIS YEAR FARMING FARMING ACTIVITIES HAVE IMPROVED FAVORABLE CLIMATIC CONDITIONS. NO MAJOR SICKNESS. FAVOURABLE WEATHER HENCE GOOD HARVEST FERTILE SOIL FOR CROPS FOOD INCREASE IN OTHER HOUSEHOLDS FOOD IS AVAILABLE FOOD IS THERE IN PLENTY FOOD PRODUCTION IS THERE BUT LAST YEAR SHE WAS SICK THROUGHOUT GOATS AND COWS HAVE INCREASED IN NUMBER GOOD AGRICULTURAL PRODUCTION GOOD CLIMATE HAS MADE THE CROPS GROW HELP FROM GOVERNMENT GOOD FOOD YIELD THIS YEAR GOOD HARVEST GOOD HARVEST AMONG COMMUNITIES WHICH HAS RESULTED TO LOW COST OF FOOD GOOD HARVEST AND RELIEF PROVIDED BY WFP GOOD HARVEST FROM THE AGRICULTURAL PRODUCTS GOOD HARVEST HIGH CROP PRODUCTION GOOD HARVEST REPUTING FROM GOOD WEATHER GOOD HARVEST THIS YEAR GOOD HARVESTS GOOD HATVEST GOOD HERVEST GOOD RAIN HAVE BROUGHT GOOD HARVEST GOOD RAINS BROUGHT ABOUT GOOD HARVEST GOOD RAINS HENCE GOOD HERVEST GOOD SECURITY WHICH MADE THEM CULTIVATE GOOD WEATHER AND RAINS THAT HAVE MADE GOOD HARVEST GOOD WEATHER FAVOURABLE FOR FARMING GOOD YIELD FROM FARMING GOPOD WEATHER THIS YEAR HAS IMPROVED CROP YIELDING GOT ENOGH MONEY TO TAKE CARE OF MY FAMILY FROM MY BUSINESS HAD ALOT OF CROP YIELDS HAD BETTER HARVEST THIS YEAR HAS BOUGHT SOME CATTLE WHICH HAVE IMPROVED LIVING STDS HAVE BEEN WEAK THIS YEAR HAVE HARVESTED A LOT AND THIS YEAR THUS REDUCED HUNGER HAVE RECEIVED INCREASED INCOME FROM PRODUCES HAVING ENOUGH FOOD HE HAS CASSAVA PLANTATION WHICH HE USES AND SALE TO GET SOME MONEY HE OVERWORKED LAST YEAR AND IS NOW ONLY HARVESTING AND ENJOYING HEAVY RAINFALL GOOD FOR HER CROPS HGH PRODUCE E.G BEANS HIGH AGRICULTURAL OUTPUT HIGH AGRICULTURAL PRODUCE HIGH AGRICULTURAL PRODUCE EG BEANS,MILLET HIGH AGRICULTURAL PRODUCE E.G BEANS,MAIZE,CASSAVA,PEAS HIGH AGRICULTURAL PRODUCE EG BEANS,MAIZE,CASSAVA,POTATOES ETC HIGH AGRICULTURAL PRODUCE EG MAIZE HIGH AGRICULTURAL PRODUCT HIGH AGRICULTURAL PRODUCTION HIGH AGRICULTURAL PRODUCTS HIGH CROP PRODUCTION AMONG THE COMMUNITY MEMBERS HIGH FOOD PRODUCTION HIGH FOOD PRODUCTION OUT OF HIS CLTIVATED LAND HIGH LEVEL OF PRODUCTION HIGH PRODUCE HENCE GIVING ME MONEY/INCOME HIGH PRODUCE OF GROUNDNUTS AND BEANS HIGH PRODUCTION FROM THE FARM BECAUSE OF GOOD WEATHER HIGH PRODUCTION OF AGRICULTURAL FIELDS HIGH PRODUCTION OF AGRICULTURAL PRODUCE EG CASSAVA AND BEANS HIGH PRODUCTION OF GROUNDNUTS HIGH PRODUCTION OF MAIZE HIGH VOLUME OF AGRICULTURAL PRODUCE HIGH VOLUME OF PRODUCTION HIGH YIELDS HIGH YIELDS AND ACQUIRED LIVESTOCK HIGH YIELDS DUE TO RAIN HIGHER AGRICULTURAL OUT PUT HIGHER AGRICULTURAL OUTPUT HIGHER AGRICULTURAL PRODUCE HIGHER AGRICULTURAL PRODUCE ESPECIALLY BEANS HIGHER AGRICULTURAL PRODUCTION HIGHER AGRICULTURAL PRODUCTION EG BEANS HIGHER AGRICULTURAL PRODUCTION EG GROUNGNUTS HIGHER AGRICULTURAL PRODUCTION EG MAIZE HIGHER CROP PRODUCTION HENCE MORE INCOME. HIGHER CROP YIELDS FROM HOUSEHOLDS HIGHER PRODUCTION HIGHER PRODUCTION OF AGRICULTURAL PRODUCE HIGHER PRODUCTION OF AGRICULTURAL PRODUCE E.G MAIZE HIGHER PRODUCTION OR INCREASE IN AGRICULTURAL PRICE HIGHER PRODUCTION THIS YEAR HIGHER YIELDS HIS CROPS ARE DOING WELL NOT LIKE LAST SEASON WHEN THE SUN WAS TOO MUCH HOUSE HOLD MEMBER GOT A JOB WITH BETTER PAY HUNGER WAS THE PROBLEM LAST YEAR I AM ABLE TO GO TO WORK ON PEOPLE'S FARM DAILY I AM BUILDING A NEW HOUSE AND I HAVE BOUGHT LAND I AM IN A POSITION TO MEET THE HH NEEDS THROUGH GOVERNMENT I BUILT A HOUSE MYSELF I CAN MANAGE TOM FIND FOOD EASILY THIS TIME I DID A GOOD HARVEST I DID ALOT OF PLANTING THIS YEAR I DO FARMING WHICH GIVE ME YIELDS I DON'T PAY RENT HENCE REDUCED ACCOMODATION EXPENSES I DONT BUY FOOD THIS YEAR FROM THE MARKET I GOT MORE HARVEST I GOT OVER THE DEATH OF MY HUSBAND WHO DIED LAST YEAR I HAD A GOOD CASSAVA PRODUCE THAT YEAR I HARVESTED ENOUGH FOOD I HAVE ALOT OF PRODUCTION FROM AGRICULTURE I HAVE BEEN ABLE TO CONSTRUCT A NEW HOUSE THIS YEAR I HAVE BOUGHT MORE LAND I HAVE ENOUGH BEANS AND CASSAVA AND MAIZE I HAVE IMPROVED ABIT ATLEAST I CAN DIG IN MY FARM. HAVE ALSO HARVESTED I HAVE JUST BUILT THAT NEW HOME I HAVE LOT OF FOOD LIKE BEANS ,GROUNDNUTS I HAVE MANAGED TO RARE CHICKEN AND PIGS I HAVE PLANTED CROPS UNLIKE LAST YR I HAVE SOME MONEY FOR FEES AND OTHER FOODS I HOD GOOD YIELDS THIS YEAR I MANAGED TO RENT A FARM TO CULTIVATE AND EARN A LIVING I MANAGED TO BUY NEW IRON SHEETS AND COMPLETED MY HOUSE I PLANTED SOME SIMSIM BUT LAST YEAR I DIDNT CULTIVATE ANYTHING I SOLD MY COW AND BOUGHT LAND I WAS ABLE TO CULTIVATE THIS YEAR AS COMPARED TO LAST YEAR DUE TO ILLNES I WAS ABLE TO HARVEST ATLEAST TWO BASINS OF BEANS COMPARED TO LAST YEAR I WAS ABLE TO HARVEST SOME GOOD CROPS THIS YEAR I WAS SOO SICK LAST YEAR IMPROVED HARVEST IMPROVED HERVEST IMPROVED INCOME AND INCREASE IN HOUSEHOLD ASSETS AND INCRESED PRODUCTION IMPROVED ON WORKING IMPROVEMENT IN CULTIVATION INCREASE FOOD PRODUCTION INCREASE IN AGRICULTURAL PRODUCE INCREASE IN AGRICULTURAL PRODUCT INCREASE IN AGRICULTURAL PRODUCTION INCREASE IN CROP PRODUCTION INCREASE IN FARM PRODUCTION INCREASE IN FOOD PRODUCTION INCREASE IN INCOME INCREASE IN INCOME AS HE IS ABLE TO PAY HOUSEHOLD NEEDS INCREASE IN NUMBER OF QUALITY LABOUR INCREASE IN PRODUCTION INCREASE IN PRODUCTION AGRICULTURE INCREASE IN PRODUCTION IN FARMING INCREASE IN PRODUCTION,SHE WAS SICK,GOT HELP FROM NGO INCREASE IN YIELDS AND ANIMALS INCREASE INCOME FROM AGRICULTURAL PRODUCTION INCREASE INCOME FROM ANIMAL HUSBANDRY AND FISHING INCREASE INCOME FROM HOUSEHOLD BUSINESS INCREASE MAIZE AND PUMKIN PRODUCTION INCREASE NUMBER OF ANIMALS BOUGHT INCREASE OF ANIMAL IN THE HHOLD INCREASE OF PRODUCE BECAUSE OF NAADS INCREASE PRODUCTION INCREASE PROFITS OF HUSBANDS BUSINESS INCREASED AGRICULTURE AND CHILDREN EDUCATION INCREASED FARM PRODUCE INCREASED FOOD PRODUCTION INCREASED HARVEST INCREASED IN ANIMALS OWNED INCREASED IN NUMBER OF ANIMALS AND ALSO AGRCULTURAL PRODUCTS INCREASED INCOME DUE TO PEURCHASE OF LIVESTOCK INCREASED INCOME FROM AGRICULTURAL PRODUCE INCREASED INCOME FROM ANIMAL HUSBADRY,FISH FARMING INCREASED INCOME FROM FARMING INCREASED INCOME FROM HOUSE HOLD BUSINESS INCREASED INCOME FROM THE GOAT SOLD INCREASED LABOUR INCREASED LABOUR THE GIRLS ARE AT HOME INCREASED ON MY NICOME INCREASED SALES IN BUSINESS INCRESED FOOD PRODUCTIONFROM HOUSEHOLD IT IS BETTER BECAUSE SHE IS A MEMBER OF NAADS IT RAINS AND THIS HAS MADE THE CROPS TO YIELD VERY WELL ITS A RAINY SEASON AND THERES ALOT OF VEGETABLES ITS TIME FOR HERVEST AND LITTLE FOODD TO FEED ON LAST YEAR FLOODS DESTROYED CROPS BUT THIS YEAR I HARVESTED ENOUGH LAST YEAR I GOT ONLY 1 BASIN OF BEANS THIS YEAR I GOT 1 SACK LAST YEAR THERE WAS NO FOOD AND COULD GO HUNGRY THE WHOLE DAY LAST YEAR THERE WAS NO FOOO LAST YEAR THERE WERE PEOPLE WHO OFFERED HELP LAST YEAR WE LOST SO MANY OF OUR RELATIVES LESS HOUSEHOLD EXPENDITURE SO REDUCED DEPENDENCY BURDEN LITTLE SORGHUM HARVEST THIS YEAR LOOKED FOR OTHER SOURCES OF INCOME TO GET MONEY LOT OF RETURNS FROM AGRICULTURAL OUTPUT MANAGED TO TAKE MY KIDS TO SCHOOL MORE ANIMALS, PROPER HARVEST MORE HARVEST AND GREEN VEGETABLES MORE INCOME FROM FARMING ENABLED HIM BUY A COW MORE INCOME GOT IN THE HOUSEHLD MORE MONEY INLFOW FROM HOUSEHOLD BUSINESS MORE PRODUCE FROM FARM MORE WAGE EMPLOYMENT IN THE AREA DUE TO BUMPER HARVEST MOST OF MY TIME IS SPENT DIGGING SO HAVE ENOUGH FOOD MUCH MORE YIELD FROM THE FARM PRODUCE MUCH PRODUCTION HENCE ALOT OF SALE MY BROTHER HAS GIVEN ME IRON SHEETS AND I HAVE STARTED BUILDING MY CROPS HAD SOME GOOD YIELD AND I RENTED A GOOD PIECEOF LAND MY HOUSEHOLD MEMBERS ARE NOW HEALTHY NEW HOUSE, NEW CHAIRS AND FOOD IN PLENTY NO LONGER BUYING FOOD NO SICKNESS,GOOD HARVEST NUSAP,NAADJ,DISTRICT LEVEL SUPPORT ONE MEMBER FELL SICK HENCE REDUCING THE MAN POWER PLANTED FOOD PRODUCTION THAT MAKES HIM BETTER OFF THAN LAST YEAR PLANTED MAIZE AND IT HAS HELPED ME A LOT. I SELL MAIZE AND BUY MEDICIN PRODUCE ENOUGH FOOD AND SOLD SOME PROPER YIELD OF CROPS,GOOD HARVEST FROM FISHING PURCHASE / INVESTMENT IN OTHER PRODUCTIVE ASSET RECEIVED AN AID AND BOUGHT SAM ANIMALS REDUCED COST OF ITEMS LIKE FOOD COMPARED TO A YEAR AGO RELIEF GIVEN BY SAMARITAN SPARS (NGO) RELIEF GIVEN TO THEM SHE HAD ENOUGH FOOD COMPARED TO WHEN SHE LOST THE HUSBAND SHE IS GETTING BETTER AFTER OPERATION SHE IS HEALTHIER COMPARED TO A YEAR AGO CAN CULTIVATE ON HER OWN SHE WAS AQUIRING SAM BILLS TO HELP HER WITH FARM WORK SOLD GOATS AND PIGS SOME BETTER HARVEST THIS YEAR AND RELIEF SOME FOOD IS AVAILABLE FROM THE RECENT HARVEST SOME INCREASE IN INCOME FROM BUSINESS SOME LITTLE SORGHUM HAS BEEN HARVESTED THIS YEAR SOME MONEY IS REALISED FROM MY HUSBANDS BUSINESS SOME RELIEF GOT FROM THE NGO's SPENDS LESS ON MEDICAL CARE AND FOOD SINCE MUM LEFT TO VISIT MY SISTER STARTED A BUSINESS THAT RAISED THE INOME OF OUR HOUSEHOLD STARTED FISHING,LARGE SCALE FARMING,KEEPING LIVESTOCK STUDYING CHILDREN, PRODUCTIVE RENTAL LAND SUPPORT FROM MY SON AS I RECOVER FROM SLEEPING SICKNESS SUPPORT FROM THE DAUGHTERS AND RELIEF THE AGRICULTURAL PRODUCTION HAS INCREASED AS THIS THIS HAS RESULTED THE BOXES HE MAKES ARE BOUGHT SO FAST THE BUSINESS MAKES ALOT OF INCOME THE CROPS ARE DOING WELL IN THE GARDEN THE CROPS HAVE DONE MUCH BETTER THIS YEAR THE FOOD IS PROVIDED BY THE NCIOS(SAMARITAN'S PURSE) THE GOOD HERVEST THE H/HEAD GOT A JOB THE HARVEST HAS BEEN A LITTLE BETTER THIS YEAR COMPARED WITH LAST YEAR THE HARVEST HAS BEEN GOOD THE HARVEST HAS BEEN GOOD THIS YEAR COMPARED TO A YEAR AGO THE HARVEST HAS BEEN MUCH BETTER THIS YEAR THE HARVEST IS MUCH BETTER THE HARVEST IS MUCH BETTER THAN LAST YEAR THE HARVEST OF THIS YEAR WAS BETTER THAN A YEAR AGO THE HARVEST THIS YEAR HAS BEEN FAR BETTER THAN LAST YEAR THE HARVEST THIS YEAR HAS BEEN BETTER THAN LAST YEAR THE HARVEST THIS YEAR HAS BEEN GOOD COMPARED TO LAST YEAR THE HARVEST WAS A LITLE BETTER OFF COMPARED TO LAST YEAR THE HARVEST WAS BETTER COMPARED TO LAST YEAR THE HARVEST WAS BETTER THAN LAST YEAR THE HARVEST WAS GOOD GOT LOTS OF GROUNDNUTS THE HARVEST WAS MUCH BETTER THAN LAST YEAR THE HARVEST WAS POOR A YEAR AGO COMPARED TO THIS YEAR THE HERVEST IS BETTER THAN LAST YR THE HHOLD HAS INCOME TO MEET THE NEEDS THE HOUSE IS DOING BETTER INTERMS OF EDUCATION AND CROP PRODUCTION THE RAIN S HAVE BEEN ENOUGH WHICH FAVOURED A GOOD HARVEST THE RAINY SEASON THERE IS FOOD OR VARIOUS VEGETABLES TO FEED ON THE SEASON HAS BEEN PRODUCTIVE THE TOTAL LABOR HAS INCREASED THUS HIGH QUALITY THERE ARE ANIMALS AND ENOUGH WATER TO DRINK THERE HAS BEEN ALOT OF BEANS THERE HAS BEEN ALOT OF YIELD FROM THE FARM AND GOT ENOUGH TO SELL THERE HAS BEEN GOOD HARVEST AMONG PEOPLE THERE IS ACCESS TO FOOD DOR EATING COMPARED TO LAST YEAR THERE IS ACCESS TO FOOD THIS YEAR THERE IS ALOT OF FOOD IN THE FARMS THERE IS ALOT OF PRODUCTION IN TERMS OF FOOD THERE IS ATLEAST SOME HERVEST THERE IS BETTER HARVEST THERE IS BETTER HARVEST THIS YAER THERE IS BETTER HARVEST THIS YEAR THERE IS ENOUGH FOOD FOR THE FAMILY THIS YEAR THERE IS ENOUGH RAIN WHICH WILL LEAD TO GOOD HARVEST THERE IS FOOD AT HOME COMPARED TO LAST YR THERE IS GOOD HARVEST THIS YEAR THERE IS GOOG YIELD THERE IS HIGH FOOD PRODUCTION REALIZED THERE IS HOGH PRODUCTIVITY FROM THE GARDEN THERE IS IMPROVED HARVEST COMPARED TO LAST YEAR THERE IS LITTLE HARVEST THERE IS SAME HARVEST YHIS YEAR THERE IS SAME LITTLE HARVES THERE IS SOME FOOD IN THE GARDEN THERE IS SOME FOOD/GREEN VEGETABLES THERE IS SOME LITTLE FOOD HARVESTED THERE IS SOME LITTLE HARVEST THERE IS SOME LITTLE SORGHUM HARVESTED THERE WAS ENOUGH FOOD PRODUCED FROM THE GARDENS THERE WAS NO BUSINESS (BREWING )LAST YEAR AND HUNGER WAS SEVERE THEREM IS SOME LITTLE SORGHUM HARVESTED THIS YEAR THERES SOME FOOD DONATION RECEIVED THEY BROUGHT MORE AID PROJECTS IN THE AREA THEY NOW HAVE LAND THIS IS GOOD RAINS TO PLANT THIS WE CULTIVATD BIG LAND, BOUGHT PIGS, AND POULTRY THIS YEAR ATLEAST SHE MANAGED TO PLANT SOME CROPS THIS YEAR IS GOOD COMPARED TO LAST YEAR WHEN WE'RE AFFECTED BY FLOODS THIS YEAR ITS ALITTEL BETTER BECAUSE SOME SOGHUM HAS BEEN HARVESTED THIS YEAR NAADS GAVE ME GROUNDNUTS SEEDS TO PLANT & TWO HOES FOR FARMING THIS YEAR SHE GOT RELIEF FOOD FROM NGOS THIS YEAR THE HEALTH OF FAMILY MEMBERS HAS IMPROVED THIS YEAR THERE IS FOOD TO EAT THIS YEAR THERE IS SOME AID THIS YEAR THERE IS SOME FOOD FROM FARMING THIS YEAR WILL BE BETTER BECAUSE I PLANTED SUNFLOWER WAS ABLE TO GET GOOD HARVEST WE DONT BUY FOOD COMPARED TO LAST YEAR WE ENGAGE IN JOBS THAT EARN THEM SOME INCOME WE HAVE A GENERATOR AND TWO VEHICLES WE HAVE ALOT OF CROPS IN THE GARDENS AND THEY ARE DOING WELL WE HAVE GOOD HARVEST THIS YEAR WE HAVE GOTTEN A LOT FROM THE HARVEST WE HAVE GROWN ALOT OF FOOD WE HAVE HARVESTED ALOT OF GROUNDNUTS WE HAVE LIVESTOKE THATS WHY LIFE IS BETTER WE HAVE MANAGED TO AQUIRE SOME ANIMALS WE HAVE SOME FOOD TO EAT WE NOW HAVE WHAT TO EAT COMPARED TO LAST YEAR WE PLANTED ALOT OF CASSAVA AND EVEN SIMSIM FOR THE MEMBERS OF THE HOUSE WE PROPDUCED ENOUGH FROM THE GARDEN TO SELL WE ROOFED OUR HOUSE WE USED TO RENT AND BUY FOOD ITEMS BUT NOW WE GET FROM OUR OWN GARDEN WEMEN HAS HELPED ME IN TRAINING VARIOUS INVESTMENTS WORKING HARDER THAN LAST YEAR hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? 484 3496 1 increase in number or quality of labour (hh members) 2 increase in animals owned 3 increase in hhs own land or water resources 4 better access to land, water or other natural resources for production 5 purchase/investment in other productive assets 6 hh member got a (better) job / better paid 7 increaed income from animal husbandry, fishing or farming – higher production 8 increased income form animal husbandry, fishing or farming – lower input cost, higher sales prices 9 increased income from household business 10 aid project (ex. new ngo programme) 11 lower food costs 12 lower other living costs 13 decreased number of dependents 14 more support from remittances / other households 15 more support form formal aid (gov’t, ngo, religious) 16 sage programme transfers 97 other (specify) 98 dk/na Sysmiss hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? 3486 . A YEAR AGO CROPS WERE DESTROYED BY PEST ALOT FOOD PRODUCTION THIS YR AVAILABILITY OF FOOD DUE TO FAVOURABLE CONDITIONS BUILT A HOUSE ENOUGH FOOD TO EAT FAIR RAINNY CLIMATE SEASON THIS YEAR GOOD RAINS GRAND SON OFFERS FINANCIAL SUPPORT HAVE MANAGED TO COMPLETE MY HOUSE AND MAKE IT BETTER HAVING SUFFICIENT INCOME TO MEET THE HOUSEHOLD NEEDS HIGH YIELDS I HAVE ACQUIRED MORE HOUSEHOLD ITEMS I HAVE BUILT MY OWN HOUSE I HAVE PLANTED TEA THIS YEAR I LIVE IN A ABETTER HOUSE KNOW I MANAGED TO BUILD T ANEW HOME I USED TO EAT ONE MEAL A DAY BUT NOW I CAN AFFORD TWO MEALS INCREASE AGRICULTURAL PRODUCTION, SOLD CROPS AND BOUGHT ANIMALS LACK OF COOPERATION BETWEEN PARENTS AND CHILDREN LAST YEAR THERE WAS FAMINE MY CHILDREN TAKE CARE OF ME VERY WELL NOWADAYS I TRY AND SAVE SOME MONEY RAINFALL,PROPER CROP YIELDS REDUCES ILNESS AND ILLNESS,INCREASE IN AGRICULTURAL LABOUR REDUCTION ON THE ILLNESS AND SICKNESS OF TB THE HHOLD HAS SUFFICIENT MONEY TO MEET THEIR NEED THE SICK CHILD MENTALLY RETARDED IS GETTING BETTER THERE HAS BEEN A RELIABLE RAINFALL THAT FAVOURED CROPS THERE HAS BEEN A RELIABLE RAINFALL THROUGH OUT THERE HAS BEEN RAIN FALL THROUGHOUT THE YEAR THUS ENOUGH FOOD THERE IS ENOUGH FOOD STAFF THERE IS ENOUGH FOOD STAFF IN TH ESTUFF THERE IS ENOUGH FOOD STUFF THERE IS SAME FOODLIKE GREEN VEGETABLE THIS YEARS THERE IS SECURITY THERE IS SOMETHING TO EAT FOR THE FAMILY THIS YEAR HH MEMMBER 02 IS NOT VERY SICK LIKE LAST YEAR THIS YEAR MY COWS WERE STOLEN WE HAVENT FALLEN SICK SO MUCH hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? 3827 . A GOOD CLIMATE AND HARD WORK ABANDUNT RAINFALL ABUNDANT RAINFALL ADEQUATE RAIN ADEQUATE RAINFALL ADEQUATE RAINS ADOPTION OF MODERN FARMING METHODS ADVERSE CLIMATE ADVERSE CLIMATIC CONDITION ADVERSE CLIMATIC CONDITIONS AID FROM INTER RELIGIOUS COUNCIL OF UGANDA, GOOD CLIMATE AID PROJECTS AVAILABLE IN THE AREA ALOT OF RAIN ALOT OF RAINFALL AMPLE RAIN AMPLE RAINFALL AMPLE RAINS AVAILABILITY OF ENOUGH RAINFALL AVAILABILITY OF NGOS IN MOROTO AND FAVOURABLE CLIMATE AVAILABILITY OF PROJECTS IN THE AREA AVAILABILITY OF RAINFALL AVAILABILITY OF RESOURCES AVAILABILITY OF RESOURSES TO START BREWING AVAILABILTY OF RAINFALL AVAILABLE RAINFAL THIS AGRICULTURAL SEASON AVAILABLE RAINFALL AVALIABILITY OF RAIN THIS YEAR BECAUSE OF ENOUGH RAIN THIS SEASON BECAUSE OF THE RAINS BEING A RAINNY SEASON I ENGAGE IN AGRICULTURE TO MEET MY BASIC NEEDS BENEFICIAL CLIMATE BENEFICIAL CLIMATATIC CONDITION BENEFICIAL CLIMATE BENEFICIAL CLIMATIC CONDITION BENEFICIAL CLIMATIC CONDITIONS BETTER CLIMATE BETTER CLIMATIC CONDITIONS BETTER RAINS BETTER RAINS THAN LAST YEAR BETTER RAINS THUS BETTER PRODUCTION CHANGE IN LIFE CIRCUMSTANCE CHANGE IN LIFE CIRCUMSTANCES CHANGE IN MY LIFE SITUATION CHILDREN HAVE WELL PAYING JOBS CLIMASTIC CONDITION IS FAVOURABLE CLIMATE CLIMATE HAS BEEN GOOD AND THERE WERE NO PESTS CLIMATE HAS NOT BEEN SO BAD CLIMATE IS FAIR THIS YEAR COMMERCIAL BUILDING BRINGING INCOME (INVESTMENT) CONFLICT WITH NEIGHBOURS DEALING WITH DIFFERENT PEOPLE AND JOBS DID NOT CULTIVATE ENOUGH ACRES OF LAND DUE TO GOOD CLIMATIC CONDITION DUE TO GOOD RAINFALL DUE TO INCREASE IN MORE LAND TO CULTIVATE ENOUGH LAND AND MORE TRADING ACTIVITIES LIKE FISHING ENOUGH LAND TO CULTIVATE ENOUGH MARKET ENOUGH RAIN ENOUGH RAINFALL ENOUGH RAINFALL FOR OUR CROPS ENOUGH RAINS ENOUGH RAINS THAT ENABLE ME GET GOOD HARVEST FAVORABLE CLIMATE FAVORABLE CLIMATIC CONDITION FAVORABLE CLIMATIC CONDITIONS FAVORABLE RAINFALL LEVELS FAVORABLE RAINS IN 2012 FAVOURABLE FAVOURABLE CLIMATE FAVOURABLE CLIMATE CONDITION FAVOURABLE CLIMATE I.E ENOUGH RAIN FAVOURABLE CLIMATIC CONDITION FAVOURABLE CLIMATIC CONDITIONS FAVOURABLE CONDITION FAVOURABLE RAINFALL FAVOURABLE RAINS FAVOURABLE SEASON AND CLIMATIC CONDITIONS GAIN MUCH KNOWLEDGE ON AGRICULTURE GOOD AND AMPLE RAINS GOOD CLIMATE GOOD CLIMATE AMPLE RAINS AND MINIMAL SUNSHINE GOOD CLIMATE AND PREFERENCE OF NGO IN THE DISTRICT GOOD CLIMATE BALANCED RAIN/SUN GOOD CLIMATE HAS ENABLED BETTER HARVEST GOOD CLIMATE THIS TIME GOOD CLIMATE WEATHER GOOD CLIMATE/RAINFALL GOOD CLIMATIC CHANGE GOOD CLIMATIC CONDITION GOOD CLIMATIC CONDITION , ENOUGH RAINFALL GOOD CLIMATIC CONDITIONS GOOD HARVEST GOOD HARVEST (CLIMATE) GOOD HEALTH;GOOD CLIMATE;FAVOURABLE RAINFALL GOOD HERVEST GOOD RAINS GOOD SEASON GOOD WEATHER GOOD WEATHER AND MORE INCOME FROM HOUSEHOLD MEMBERS GOOD WEATHER RAINS GOOD WEATHER THAT WAS FAVOURABLE FOR AGRICULTURAL PRODUCTION GOOD YIELD GOOD YIELDS GOOD YIELDS AND CHILDREN GOT JOBS GOOD YIELDS DUE TO GOOD CLIMATE GOT MONEY FROM FARM PRODUCE AND ANIMALS HAD MORE TIME TO CONCENTRATE IN AGRICULTURE HARD WORK HARD WORK AND GOOD CLIMATE HARD WORK OF FAMILY MEMBERS HAVE ENOUGH LABOUR HEAVY DOWN POUR HEAVY RAINFALL HHERE IS ENOUGH RAIN THIS YEAR HIGH CROP BECAUSE OF GOOD CLIMATE HIGH CROP CULTIVATION DUE TO GOOD CLIMATE HIGH ENOUGH RAINFALL HIGH INCOMES EARNED HIGH RAINFALL HIGHER RAINFALL HOUSE HLD HEAD GOT A JOB HUSBAND STARTED WORKING I ACQUIRES KNOWLEDGE ON CROP HUSBANDRY I AM NOT ILL THIS YEAR ROUND I GOT BANANA SEEDLINGS FROM NAADS I HAD TO REDUCE MY EXPENDITURES I HAVE BEEN SELLING MY TEA AND OTHER CROPS TO GET MONEY I HAVE STARTED WORKING AS A BUILDER I PLANTED EARLY AND THE RAINS WERE FAVOURABLE I PLANTED IN TIME THIS YEAR I RECEIVED TREATMENT FROM HOSPITAL INCREASE IN CAPITAL FROM HOUSE HOLD LIVESTOCK INCREASE IN FARM PRODUCTION INCREASE IN HHOLD MEMBERS INCREASE IN INCOME INCREASE IN YIELDS OF CROPS INCREASED MARKET FOR LIVESTOCK INCREASED MARKET IN OUR5 AREA INCREASED RAINFALL INREASE IN HOUSEHOLD LABOUR AND GOOD CLIMATE IT HAS BEEN A GOOD SEASON FOR FOOD PRODUCTION IT HAS BEEN RAINING AND HE MADE PLENTY OF PUMPKIN IT RAINED THIS SEASON ITS RAINY NOT LIKE LAST YEAR WHEN IT WAS TOO SUNNY LAW RATE OF CONFLICT HAS BOUGHT BLESSING OF ENOUGH RAIN LIFE BECAME BETTER SINCE BUILDING A NEW HSE LOTS OF RAINFALL MANY OF THEM ARE MARRIED AND PROVIDE SUPPORT MANY PEOPLE COME FROM OTHER PLACES AND PROVIDE MARKET FOR THE PRODUC MARKET FOR MY PRODUCE MARKET FOR OU CROPS MARKET FOR OUR PRODUCE MARKET FOR PRODUCES MODERATE RAINFALL MORE CULTIVATED LAND AND ENOUGH RAIN MORE HARVEST DUE TO GOOD RAINS MORE TRADING IN THE AREA MORE TRADING OPPORTUNITIES MUM LEAVING HOME NAADS PROJECT WHICH GEVE SEEDS TO GROW NO RAIN FOER THE WHOLE YEAR NO WEEDS,RAIN OLD AGE PEACE HAS BEEN PROMOTED IN THE AREA POWER AND ENERGY PRECENCE OF RAINS PRESENCE OF NGO IN THE AREA PRESENCE OF NGO`S IN THE COMMUNITY PROPER RAINFALL RAIN HAS BEEN ENOUGH THAN AYEAR AGO RAIN IS ENOUGH RAIN IS ENOUGH FOR CULTIVATION RAINFALL RAINFALL HAS BEEN THERE RAINFALL IS ENOUGH RAINFALL WAS ENOUGH RECEIVED AN AID FROM THE GOVT RELIABLE RAIN RELIANCE ON NG'OS (RELIEF AID) RELIEF FOOD RENTED OUT OUR LAND TO GET MONEY TO ROOF OUR HOUSE SEASON HAS BEEN ABIT GOOD SELLING MORE FARM PRODUCE SEPARATED WITH THE HUSBAND AND HAS COME BACK HOME SICKNESS SICKNESS AND OLD AGE SOLD COFFEE AS WELL AS OTHER COMPLIMENTARY SOURCES SOLD FOOD AND GOT SOME MONEY SOLD OFF MY COFFEE AND BOUGHT THEM SOLD SOME FARM ANIMALS TO BUY SUNFLOWER SEEDS SOLD SOME PRODUCE AND GOT MONEY TO BUY ANIMALS SUITABLE AND RELIABLE WEATHER CONDITIONS SUITABLE RAIN THE BUSINESS HAS GROWN BIG THE BUSINESS IS BRINGING GOOD MONEY THE CHILD IS NOW DOING WELL THE CLIMATE HAS BEEN GOOD THE CLIMATE RAINS WAS GOOD THE CLIMATE WAS GOOD THE CONFLICT HAS BN STABILISED THE H/HEAD IS NOW EMPLOYED THE HH MEMBER 2 IS DOING SAME BUSINESS TO BUY DRUGS THE NEW NGO'S PROVIDING FOOD HAVE SOME THE RAIN COME EARLY AND WE PLANTED EARLY THE RAIN HAS BEEN GOOD FOR AGRICULTURE WORK THE RAIN WAS FAVOURABLE FOR CROPS TO GROW THE RAINFALL HAS BEEN FAIR THE RAINS CAME IN EARLY AND IT WAS ENOUGH TO GROW THE CROPS THE RAINS FAVOURED THE CROPS GROWN THE RAINS HAVE BEEN FAVOURABLE THE RAINS HAVE BEEN FAVOURABLE FOR AGRICULTURE THE RAINS HAVE BEEN GOOD WHICH FAVOURED THE SEEDS FOR GROWING THE RAINS HAVE BROUGHT FOOD THE RAINS WERE ADEQUATE THE RAINS WERE CONSISTENT AND HAD ACCESS TO OXEN THE RAINS WERE EARLY THE RAINS WERE ENOUGH FOR THE CROPS THE RAINS WERE FAVOURABLE THE RAINS WERE FAVOYRABLE THE RAINS WERE GOODAND FAVOURABLE THE RAINS WERE JUST ENOUGH FOR THE CROPS TO GROW WELL THE RAINS WERE NOT ENOUGH FOR THE CROPS THE SEASON WAS GOOD THE SUN DINN'T DESTROY THE CROPS THE SUNSHINE WAS TOO MUCH THE WEATHER HAS BEEN FAVOURABLE FOR CULTIVATION THE WEATHER NOW FAVOURS GROWTH OF CROPS THE WEATHER WAS FAVOURABLE FOR THE GOOD AGRICULTURAL PRODUCTION THE WEATHER WAS GOOD THE WEATHER WAS GOOD THIS YEAR THOUGH IT HAS CHANGED THE WEATHER WAS NOT BAD THERE HAS BEEN ALOT OF LABOUR THERE ARE GRASSES FOR THEM TO EAT THERE HAS BEEN A LOT OF RAINFALL THERE HAS BEEN ENOUGH RAIN THIS YEAR THERE HAS BEEN MORE INVESTMENT WHICH YIELD MORE INCOME FOR THE HH THERE HAS BEEN SERIOUS WATER DOWN POUR THERE IS ENOUGH RAIN THERE IS ENOUGH RAIN FOR CULTIVATION THERE IS ENOUGH RAIN IN THE YEAR THERE IS ENOUGH RAIN THIS YEAR THERE IS INCREASED TRADING IN THE AREA THERE IS RAIN THERE IS RAIN THIS YEAR THERE IS READY MARKET THERE WAS ALOT OF RAIN FOR FARMING THERE WAS ALOT OF RAINFALL THERE WAS ALOT OF RAINFALL FROM APRIL SO PLANTED ENOUGH CROPS THERE WAS ENOUGH RAIN THERE WAS NO RAIN THEY GOT A LOAN AND THE WEATHER WAS FAVOURABLE THROUGH AGRICULTURAL PRODUCTION TO MUCH RAINFALL TOO MUCH RAINFALL HENCE LEADING TO HIGH YIELDS TSETSE FLY UNITING WITH THE CHILDREN AND WORKING HARD USED FERTILISER,RENTED LAND,SOLD THE PRODUCE USED THE LITTLE SAVINGS WISELY AND BOUGHT A MOPTOR CYCLE WAS ABLE TO SELL MY LIVESTOCK AT A GOOD PRICE WE HAVE MARKET IN OUR AREA NOW WEATHER HAS BEEN GOOD WORKING ALITTLE BIT HARDER WORKING ON SEVERAL JOBS FOR DIFFERENT JOBS hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? 481 3499 1 increase in number or quality of labour (hh members) 2 increase in animals owned 3 increase in hhs own land or water resources 4 better access to land, water or other natural resources for production 5 purchase/investment in other productive assets 6 hh member got a (better) job / better paid 7 increaed income from animal husbandry, fishing or farming – higher production 8 increased income form animal husbandry, fishing or farming – lower input cost, higher sales prices 9 increased income from household business 10 aid project (ex. new ngo programme) 11 lower food costs 12 lower other living costs 13 decreased number of dependents 14 more support from remittances / other households 15 more support form formal aid (gov’t, ngo, religious) 16 sage programme transfers 17 97 other (specify) 98 Sysmiss hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? 3494 . ABLE TO BUDGET DUE TO NO DEPENDENT BETTER/GOOD SOIL BOUGHT ANIMALS (COWS) FOR DIGGING MAKING IT EASY AND QUICK CULTIVATED USING AN OXPLOUGH HANCE CULTIVATED A LOT DOUGHTERS AND SONS GOT EMPLOYED EARLY FARMING HELPED ME ALOT GET AN OPPORTUNITY TO RENT LAND FOR FARMING GOES TO WORK GOVERNMENT HAS PROTECTED US WELL HAD MANY HOUSEHOLD MEMBERS HARD WORK HARDWORK AND DETERMINATION HARDWORK PAYS HE IS EMPLOYED I HAVE WORKED HARD IMPROVE LABOUR USING MONEY IMPROVED WORKING CONDITIONS INCREASED NUMBER OF PEOPLE TO PROVIDE LABOR LAST YEAR I WAS SICK BUT NOW AM STRONG LOAN ACQUISITION MORE ANIMALS PURCHASED AND ADDITIONAL HOUSEHOLD BUSINESSES MORE LAND GIVEN TO US FOR CULTIVATION MORE PEOPLE ARE REPAIRING THEIR BICYCLE THIS YEAR MORE TIME SPENT ON THE FARM BY MY FATHER MY CHILDREN STARTED UP THEIR OWN HOMES MY RELATIVE HAS GIVEN ME A HOUSE TO STAY PEACE HAS BROUGHT GOOD HARVEST PEACE HAS IMPROVED HARVEST PROMOTION PROPER PRESERVATION OF THE ENVIRONMENT AND SOIL RECEIVE TREATMENT RENTED LAND FOR CULTIVATION RENTING ANOTHER ACRE OF LAND AND PUTING MORE ENERGY IN DIGING SHE HAS BEEN GIVEN A GARDEN THAT WAS INITIALY TAKEN BY HER SOLD MY COW SOLD MY FARM AND AM USING THAT MONEY FOR BUILDING SOLD OFF ONE HIS MOTORCYCLES AND EXPANDED THE BUSINESS SON HELP HER FARM USING PLOUGH UNLIKE BEFORE THE HEAD OF THE FAMILY GOT A BETTER JOB THE HUSBAND GOT A PRETY JOB THERE IS NO SECURITY IN THE VILLAGE THEY SAT DOWN AND AGREED ON HOW TO TAKE CARE OF ME THIS IS WHAT I GOT SOME MONEY FOR CULTIVATION THIS YEAR I CULTIVATED ON DRY LAND BUT LAST YEAR WAS IN TH TREATMENT WE SOLD ALMOST TO BUY THE PIGS AND POULTRY hh10 q5:in the last 12 months has your household suffered a particular problem o hh10 q5:in the last 12 months has your household suffered a particular problem o hh10 q5:in the last 12 months has your household suffered a particular problem o hh10 q5:in the last 12 months has your household suffered a particular problem o hh10 q5:in the last 12 months has your household suffered a particular problem o 3980 1 yes 2 no 98 dk/n/a hh10 q6:what was the problem - first mention? hh10 q6:what was the problem - first mention? hh10 q6:what was the problem - first mention? hh10 q6:what was the problem - first mention? hh10 q6:what was the problem - first mention? 1759 2221 1 loss of productive household member (death) 2 loss of productive household member (leaving hh) 3 illness/injury of household member 4 loss of (non-productive) household member (death) 5 loss of hhs own land or water resources 6 loss of access to land, water or other natural resources for production 7 loss of other productive assets (tools, machinery etc) 8 less income or loss of job 9 less income from animal husbandry, fishing or farming – lower volume of production 10 less income from animal husbandry, fishing or farming – higher costs or lower sales prices 11 less income from animal husbandry, - lower volume of sales 12 less income from other household business 13 increased number of dependents 14 large expenditure due to ill health or death of hh member (inc funeral) 15 large expenditure on social obligations 16 increased cost of food 17 increased cost of fuels, transport or other necessities 18 debt repayments 19 loss of aid (ex. ngo programme finishing) 42 loss of hhs own animals 97 other (specify) 98 don't know/no response Sysmiss hh10 q6:what was the problem - second mention? hh10 q6:what was the problem - second mention? hh10 q6:what was the problem - second mention? hh10 q6:what was the problem - second mention? hh10 q6:what was the problem - second mention? 388 3592 1 loss of productive household member (death) 2 loss of productive household member (leaving hh) 3 illness/injury of household member 4 loss of (non-productive) household member (death) 5 loss of hhs own land or water resources 6 loss of access to land, water or other natural resources for production 7 loss of other productive assets (tools, machinery etc) 8 less income or loss of job 9 less income from animal husbandry, fishing or farming – lower volume of production 10 less income from animal husbandry, fishing or farming – higher costs or lower sales prices 11 less income from animal husbandry, - lower volume of sales 12 less income from other household business 13 increased number of dependents 14 large expenditure due to ill health or death of hh member (inc funeral) 15 large expenditure on social obligations 16 increased cost of food 17 increased cost of fuels, transport or other necessities 18 debt repayments 19 loss of aid (ex. ngo programme finishing) 42 loss of hhs own animals 97 other (specify) 98 don't know/no response Sysmiss hh10 q6:what was the problem - third mention? hh10 q6:what was the problem - third mention? hh10 q6:what was the problem - third mention? hh10 q6:what was the problem - third mention? hh10 q6:what was the problem - third mention? 72 3908 1 loss of productive household member (death) 2 loss of productive household member (leaving hh) 3 illness/injury of household member 4 loss of (non-productive) household member (death) 5 loss of hhs own land or water resources 6 loss of access to land, water or other natural resources for production 7 loss of other productive assets (tools, machinery etc) 8 less income or loss of job 9 less income from animal husbandry, fishing or farming – lower volume of production 10 less income from animal husbandry, fishing or farming – higher costs or lower sales prices 11 less income from animal husbandry, - lower volume of sales 12 less income from other household business 13 increased number of dependents 14 large expenditure due to ill health or death of hh member (inc funeral) 15 large expenditure on social obligations 16 increased cost of food 17 increased cost of fuels, transport or other necessities 18 debt repayments 19 loss of aid (ex. ngo programme finishing) 42 loss of hhs own animals 97 other (specify) 98 don't know/no response Sysmiss rhh10 q6:what was the problem - other 1? rhh10 q6:what was the problem - other 1? rhh10 q6:what was the problem - other 1? rhh10 q6:what was the problem - other 1? rhh10 q6:what was the problem - other 1? 188 CHILDREN HAD NOTHING TO EAT SO SHE MOVED AND LEFT THEM WITH GMOTHER CLIMATE CHANGES AND SEASONS WAS APROBLEM COURT CASE EXPENDITURE COURT CASE OVER FAMILY LAND HAS LED TO INCREASED EXPENDITURE CROPS WERE SWEPT AWAY BY FLOODS DEATH AND SICKNESS DEATH OF A PERSON SHE WAS BUYING LAND FROM DEATH OF BROTHER DEATH OF GRAND CHILD DEATH OF GRAND CHILDREN DEATH OF GRAND MOTHER DEATH OF GRANDMOTHER DEATH OF HIS MOTHER AND THE SON BROKE HIM DOWN DEATH OF MOTHER DEATH OF MY GRAND CHILD THIS YEAR IN MARCH DEATH OF MY GRAND MOTHER DEATH OF MY GRANDCHILDREN DEATH OF MY NEPHEW THIS YEAR DEATH OF MY SON DEATH OF MY WIFE DEATH OF MY YOUNG BROTHER DEATH OF NON HOUSEHOLD MEMBER DEATH OF SON INLAW DEATH OF STEP CHILD, ILLNESS OF HOUSEHOLD MEMBERS DEATH OF THE BROTHER'S SON AND THE GRAND CHILD, NO FOOD DISEASES/SICKNESS DOMESTIC VIOLENCE AND WRANGLE OVER PROPERTY WITH THE SPOUSE DOMESTIC VIOLENCE(HUSBANCHASED ME A WAY ),SICKNESS EDUCATION EDUCATION FEES EDUCATION HAS BECOME EXPENSIVE FAILED TO PAY FOR SCHOOL FEES FAILURE TO PAY SCHOOL FEES FAMINE FAMINE (HUNGER) FAMINE HUNGER FEES FEES(EDUCATION) FERMINE IS THE CAUSE OF SICKNESS FLOODING FLOODS FRUSTRATION BECAUSE MY NAME SCRAPPED FROM PAYROLL GOING TO THE COURT TO SETTLE ISSUES OF LAND HAVE SPENT ALOT IN LAND CAUSES-PEOPLE TRYING TO TAKE MY LAND HE WAS THREATENED TO BE INPRISONED BY THOSE WHO STOLE HIS CATTLE HIS HOUSE GOT BURNT WITH EVERYTHING INSIDE HOUSE AND EVRYTHING IN IT GOT BURNT HOUSE GOT BURNT WITH EVERYTHING INSIDE HOUSEHOLD LOST A BROTHER AND THE BURDEN BORN BY THE HOUSEHOLD HOUSEHOLD PROPERTY STOLEN THREE TIMES HUNGER HUNGER BECAUSE THERE IS NO FOOD TO EAT HUNGER PROBLEM HUNGER,SICKNESS,SCHOOL FEES I AM EVER DOWN TAKEN CARE BY WELL WISHERS I FELL SICK THIS YEAR AND WAS ADMITTED I HAD A PROBLEM CONSTRUCTING MY HOUSE I HAD A PROBLEM OF FAMINE, I HAD NO FOOOD TO EAT I HAD A PROBLEM OF PAYING SCHOOL FEES FOR THE CHILDREN I HAD PROBLEM OF SCHOOL FEES I HAVENT TAKEN MY GRAND DAUGHTER TO SCHOOL I WAS ROBBED AND ALL MY PROPERTY WERE TAKEN ILLNESS ILLNESS OF DAUGHERS,FARMING,FEEDING OF CHILDREN ILLNESS OF HOUSEHOLD HEAD AND SPOUSE,SCHOOL FEES PROBLEM ILLNESS OF THE HOUSEHOLD HEADD, HUNGER SO HAD TO BORROW ABOUT 20000 IMPPRISONMENT OF BROTHER IMPRISONMENT IMPRISONMENT OF PRODUCTIVE HOUSEHOLD MEMBER INADEQUATE FUNDS TO PAY FOR CHILDREN FEES AND OTHER NECESSITIES INCREASED COST OF LABOUR IS OLD AND CANNOT HELP THE GRAND CHILDREN LACK OF FEES TO PAY FOR THE CHILDREN LACK OF FOOD LACK OF FOOD CASSAVA, BEANS LACK OF MONEY TO CATER FOR HOSPITAL BILLS LACK OF MONEY TO GO TO PRIVATE HOSPITAL FOR CHECK UP LACK OF SCHOOL FEE TO THE CHILDREN LACK OF SCHOOL FEES LACK OF SCHOOL FEES FOR MY CHILDREN LAND CONFLICT LAND GRABING LAND WANGLES LAND WRANGLES LARGE EDUCATION EXPENCES LONGTIME ILLNESS OF PRODUCTIVE HH MEMBER LOSS OF AGRICULTURAL PRODUCE THROUGH THEFT LOSS OF PROPERTY E.G THE HOUSE, CROPS E.T.C LOST MY CATTLE LOST OUR HOUSE TO FIRE AND DAMAGE ON LOT OF PROPERTIES MARRYING FOR BOYS WOMEN MONEY WAS STOLEN FROM THE HOUSE MY 3 CHILDREN RAN MAD THIS YEAR MY ELDER SON HUNGED HIMSELF WITH A ROPE AND LEFT BEHIND CHILDREN MY HOUSE COLLAPSED MY HOUSE GOT BURNT MY HOUSE GOT BURNT AND I LOST ALOT OF PROPERTY MY HOUSE GOT BURNT AND I LOST EVERYTHING MY HOUSE GOT BURNT THIS YEAR IN JUNE BY MY DAUGHTER MY HOUSE GOT BURNT WITH EVERYTHING ON IT MY HOUSE WAS BURNT AND REMAINED WITH NOTHING MY HUSBAND WAS ARRESTED AND IMPRISONED MY HUT GOT BURNT LAST YEAR DECEMBER BY MY GRAND SON MY MONEY WAS STOLEN MY SON IMPREGNATED A GIRL AND I WAS FINE MY SON IMPREGNATED A NEIGHBORS DAUGHTER MY SON IMPREGNATED A STUDENT AND I WAS MADE TO PAY A FINE MY SON PASSED HIS UACE AND I FAILED TO GET MONEY FOR UNIVERSITY MY WIFE DEVORCED ME NO FOOD TO EAT,HUNGER. NO HOUSES FOR SLEEPING NO MONEY FOR SCHOOL FEES PAID FINE TO SOMEONE WHOSE DAUGHTER WAS IMPREGNATED BY MY SON PAYING DEBTS PAYING FEES PAYING SCHOOL FEES POOR HOUSING POVERTY PROBLEM OF PAYING SCHOOL FEES,PAYING BILLS FOR SICK CHILDREN PROBLEM OF SCHOOL FEES RAPE RELATIVES WANTED TO STOLE MY LAND REPAIRING THE BUILDING ROBBERY OF MONEY FROM THE HOUSEHOLD SCHOOL FEES SCHOOL FEES FOR THE CHILDREN SCHOOL FEES RPOBLEM.I HAVE MANY CHILDREN WHOOM I PAY SCHOOL FEES TO SHE FAILED TO GET MONEY FOR SCHOOL FOR OLDEST SON SHE NETS SICK DUE TO OLD AGE , SHE LOST HER AUNT AND LOST ASSESTS SHOOL FEES PROBLEMS SICKNESS HIGH COST OF FOOD SICKNESS OF HOUSEHOLD MEMBER AND INCREASED COST OF FOOOD SICKNESS OF THE CHILD AND UNABLE TO PAY BILLS,LACK OF SCHOOL FEES SICKNESS OF THE HHOLD HEAD SICKNESS, FAMINE SICKNESS,STOLE MY HOUSEHOLD PROPERTY AS WELL AS MY ANIMALS SOME SICKNESS IN THE THROAT THAT MADE FARMING HARD FOR HER SOMETIMES I LACK WHAT TO EAT BECAUSE OF LOW INCOME SON WAS ARRESTED AND IMPRISONED SON WAS ARRESTED OVER BUYING A STOLEN GOAT STOLEN BUSINESS THE CHILD OF A HOME WAS ARRESTED AND PUT IN JAIL THE CROPS SWEPT AWAY BY RUNNING WATER FROM THE GARDENS THE CROPS WERE SWEPT AWAY FROM THE GARDEN DUE TO HEAVY RAINS THE CROPS WERE SWEPT FROM THE GARDEN DUE TO OVERFLOWING WATER THE FLOODS SUBMERGED ALL THE CROPS IN THE GARDEN THE HEAD OF HHOLD DOPED WITH SOMEONES NEIGHBOUR THE HOUSE COLLAPSED THE HOUSE GOT BURNED BY MY GRANDSON OMARA WHEN WE HAD GONE MARKET THE HOUSE GOT BURNT IN AUGUST 2011 THE HOUSE GOT BURNT WITH ALL HOUSEHOLD PROPERTIES THE HOUSE GOT BURNT WITH EVERYTHING INSIDE THE HOUSEHOLD RAN SHORT OF FOOD THE HUSBAND WAS TAKEN TO COURT AND THEY COULD NOT AFFORD THE FINE THE ONLY HUT SHE USES FOR LIVING COLLAPSED THE RELATIVES ARE CHASSING ME OUT OF THE PREMISES MY HUSBAND LEFT THE WATER SUBMERGED CROPS IN THE GARDEN THEFT THEFT OF THE MONEY, FREQUENT GOING TO THE COURT THEFT. HOUSEHOLD ASSETS WERE STOLEN. THEY EXTRACTED ONE OF MY TOOTH BADLY EVER SINCE THEN I HAVE NO PEAC TWO HUTS WERE SET ON FIRE BY UNKNOWN PERSONS WITH LOTS OF HOUSEHOLD UNABLE TO BUY FOOD,AND GRAND SONS FEES UNABLE TO MEET HOUSEHOLD NEEDS LIKE BUYING FOOD & PAYING SCHOOL FEE VIOLENCE CAUSED BY MOTHER IN LAW WHO ACCUSED ME OF KILLING HUSBAND WAS ARRESTED FOR FISHING AND MOTHER SOLD LIVESTOCK TO GET HIM OUT WE FAILED TO RAISE MY GRAND CHILD'S EDUCATION WENT TO COURT SOME ONE WANTED TO GRAB MY LAND FROM ME rhh10 q6:what was the problem - other 2? rhh10 q6:what was the problem - other 2? rhh10 q6:what was the problem - other 2? rhh10 q6:what was the problem - other 2? rhh10 q6:what was the problem - other 2? 20 AFTER HE DIED ASSETS E.GMATRESS DEATH OF GRAND CHILD DISTRUCTION OF AGRICULTURE,PLANTS EDUCATION FEES GOT AN ACCIDENT IN THIS MONTH HOUSE WIFE AND CHILD LEFT THE HOUSEHOLD AFTER A CONFLICT HUNGER AND LACK OF SCHOOL FEES I HAVE FAILED TO ERECT A HOUSE TO LIVE IN. I HAVE NO HEL ILLNESS OF HOUSE HOLD HEAD AND SPOUSE LACK OF AN OX PLOUGH LACK OF MONEY TO PAY FOR THE HOSPITAL BILLS WHEN CHILDRE LESS INCOME FROM HH BUSINESS LOST MY CHILD MARRIAGE OF MY SON(SON'S MARRIAGE EXPENSE) PAYING FEES POOR SHELTER SCHOOL FEES PROBLEM THEFT OF MONEY THERE IS NO MONEY TO CATER FOR FAMILY NEEDS. hh10 q7:how did your household attempt to cope with this problem - first mention hh10 q7:how did your household attempt to cope with this problem - first mention hh10 q7:how did your household attempt to cope with this problem - first mention hh10 q7:how did your household attempt to cope with this problem - first mention hh10 q7:how did your household attempt to cope with this problem - first mention 1759 2221 1 mortgage assets 2 sell assets 3 sell livestock 4 use savings 5 withdraw children from school 6 sent children for wage employment 7 send children to live elsewhere 8 migration 9 formal borrowing 10 informal borrowing 11 reduce consumption 12 consume lower quality food/ less preferred food 13 help provided by relatives and friends 14 help provided from local governments 15 more wage employment 16 change crop choices to avoid bad weather or pest attack 17 improve technology 18 work as self employed 19 increased agricultural labor supply 97 other 98 don't know/no response Sysmiss hh10 q7:how did your household attempt to cope with this problem - second mentio hh10 q7:how did your household attempt to cope with this problem - second mentio hh10 q7:how did your household attempt to cope with this problem - second mentio hh10 q7:how did your household attempt to cope with this problem - second mentio hh10 q7:how did your household attempt to cope with this problem - second mentio 473 3507 1 mortgage assets 2 sell assets 3 sell livestock 4 use savings 5 withdraw children from school 6 sent children for wage employment 7 send children to live elsewhere 8 migration 9 formal borrowing 10 informal borrowing 11 reduce consumption 12 consume lower quality food/ less preferred food 13 help provided by relatives and friends 14 help provided from local governments 15 more wage employment 16 change crop choices to avoid bad weather or pest attack 17 improve technology 18 work as self employed 19 increased agricultural labor supply 97 other 98 don't know/no response Sysmiss hh10 q7:how did your household attempt to cope with this problem - third mention hh10 q7:how did your household attempt to cope with this problem - third mention hh10 q7:how did your household attempt to cope with this problem - third mention hh10 q7:how did your household attempt to cope with this problem - third mention hh10 q7:how did your household attempt to cope with this problem - third mention 66 3914 1 mortgage assets 2 sell assets 3 sell livestock 4 use savings 5 withdraw children from school 6 sent children for wage employment 7 send children to live elsewhere 8 migration 9 formal borrowing 10 informal borrowing 11 reduce consumption 12 consume lower quality food/ less preferred food 13 help provided by relatives and friends 14 help provided from local governments 15 more wage employment 16 change crop choices to avoid bad weather or pest attack 17 improve technology 18 work as self employed 19 increased agricultural labor supply 97 other 98 don't know/no response Sysmiss hh10 q7:how did your household attempt to cope with this problem - other 1? hh10 q7:how did your household attempt to cope with this problem - other 1? hh10 q7:how did your household attempt to cope with this problem - other 1? hh10 q7:how did your household attempt to cope with this problem - other 1? hh10 q7:how did your household attempt to cope with this problem - other 1? 164 ADVISE FROM FRIENDS BORREWED MONEY FROM VSLD BORROWED A COW FROM A FRIEND CALL FOR PRAYERS AT HOME CASUAL LABOUR CASUAL LABOURING CHANGED SCHOOL FOR THE CHILDREN CHILDREN REPORTED LATE TO SCHOOL COLLECTING DOWRY FROM SON-IN-LAW TO PAY CATTLE DECIDED NOT TO GO FOR BURIAL DECIDED TO GO FOR BURIAL DID NOTHING FAILED TO GET SOLUTION FARMING FENCED THE AREA TO AVOID CATTLE FROM GETTING IN FIREWOOD FREE MEDICATION FROM GOVERNMENT HOSPITAL FRIENDS GAVE THEM TWO COWS TO KEEP FULL TIME PARTICIPATION IN FARMING GO FOR TREATMENT TO THE GOVERNMENT HOSPITAL GO TO PEOPLE GODS PRAYER GOING FOR TREATMENT TO THE HOSPITAL GOT A LOAN GOT FOOD FROM THE GARDEN GOT HELP AND SUPPORT FROM THE COMMUNITY GOT NO HELP FROM ANYONE GOT TREATED FROM A HOSPITAL GOVERNMENT AND CLAN MEMBERS SOLVED THE PROBLEM HAD TO LET IT GO AND HAVE A NEW LIFE HAVE NO PLACE TO MOVE TO HE SOLD SUGAR CANE TO RAISE SOME MONEY HELP FROM GROUP ROSCA HELP FROM NGO HELP FROM RELATIVES AND FRIENDS I AM STILL TRYING TO LOOK FOR MONEY TO ROOF THE NEW HOUSE I DECIDED TO DIG INORDER TO GET BACK I GAVE GOAT FOR THE BURIAL I HAD TO PLANT MY SONS GARDEN I HAVENT SOLVED THE PROBLEM I I DECIDED TO GO TO THE GOVERNMENT'S HOSPITAL WHICH IS FREE I PREPARED WARAGI AND SOLD TO GET MONEY I RENTED LAND AS I WAITED THE COURT PROCEEDINGS I SLAUGHTERED A COW TO MEET BURIAL EXPENSES I SLAUGHTERED THE ONLY COW I HAD TO CATER FOR THE BURIAL EXPENSES I SOLD AGRICULTURAL PRODUCE LIKE BEANS AND MAIZE I SOLD BEANS CASSAVA I SOLD MAIZE TO SOLVE THE PROBLEM I SOLD MY HARVESTS CARROTS I SOLD MY MILLET I HAD TO RECEIVE TREATMENT I SOLD MY TEA TO TREAT MYSELF BUT STILL AM NOT OK I SOLD MY WARAJI TO OVERCOME MY PROBLEM I SOLD SUNFLOWER I SOLD TOBACCO TO SOLVE THE PROBLEM I SOLD WARAGI MADE FROM MY BANANAS AND SOME IN THE MONG I TALKED TO SCHOOL ADMINISTRATION AND WHO ACCEPTED AND GAVE BURSARY I TOOK CHILDREN FOR TREATMENT TO THE HOSPITAL IHAD NO MONEY TO HELP ME INCREASED AGRICULTURAL PRODUCTION BY POLANTING MORE CROPS JUST SURENDERED THE LAND KILLED COWS FOR KEEPING MOVED SOMEWHER AND THE PAID ME NO ACTION TAKEN NOT YET COPED NOTHING NOTHING BECAUSE AM NOT OPERATED BECAUSE OF LACK OF MONEY NOTHING BECAUSE I HAVE NO CHILD TO TAKE CARE OF THE MEDICAL BILLS NOTHING BECAUSE I HAVE THE SAME PROBLEMS NOTHING BECAUSE THEY HAVE NOT YET OPERATED ME. NOTHING COULD BE DONE TO GET THE HUSBAND OUT OF PRISON NOTHING THOT OF.THE CHILD WILL NOT GO TO SCH UNTILL FURTHER NOTICE NOTHING WAS DONE TO SOLVE PARTICIPATED IN CASUAL WORK PLANTED SOME CASSAVA PLANTING AND SELLING FOOD PRAYED AND SOUGHT SPIRITUAL HELP PRAYER RECEIVING FOOD FROM RELATIVES REDUCING HOURS OF WORK RELATIVES RENTED OUT PIECE OF MY LAND TO GET MONEY REPORT TO CHAIR PERSON REPORTED TO CHAIRPERSON BUT WAS NOT HELPED SALE OF BEANS SECHING OUT PUT SELL AGRICULTURAL PRODUCE SELL CROPS SELL MATOKE TO BUY FOOD SELL OF AGRICULTURAL PRODUCE SELL OF AGRICULTURAL PRODUCE EG CASSAVA SELL OF MAIZE SELL OF ORANGES, CASSAVA SELL OF POULTRY SELL OF PRODUCE (AGRICULTURAL PRODUCE) SELL PRODUCE SELL THE PRODUCE E.G MAIZE TO GET MONEY TO BUY FOOD SELLING AGRICULTURAL PRODUCE MILLET SELLING CASSAVA,BEANS AND MAIZE SELLING CHICKEN FIREWOOD SELLING FIREWOOD SELLING HOUSEHOLD AGRICULTURAL PRODUCTS SELLING LABOUR SELLING LABOUR IN PEOPLES SELLING LABOUR TO GET MONEY FOR TREATMENT SELLING OF AGRICULTURAL PRODUCTS LIKE BEANS AND GROUNDNUTS SELLING OF AGRICULTURAL PRODUCTS(SUGAR CANE) SELLING OF BEANS SELLING OF BEANS , PEAS, GROUND NUTS SELLING OF FOOD LIKE MAIZE SELLING OF THE FOOD CROPS SELLING OF THE HOUSEHOLD GOODS LIKE MAIZE SELLING SUNFLOWERS SELLING WHAT WAS MEANT FOR HOUSEHOLD CONSUMPTION SELLS FEW CROPS OBTAINED FROM AGRIC MEANT FOR CONSUMPTION SEPARATION SET UP BUSINESS SHE HAD TO CONSTRUCT ANOTHER HUT WITH HELP OF RELATIVES SHE HAD TO STOP CULTIVATING THE LAND SMALL SCALE FARMING SOLD AGRICULTURAL PRODUCTS SOLD CASSAVA TO GET MONEY AND BUY PROPERTY SOLD FARM PRODUCE TOM GET MORE MONEY SOLD FOOD SOLD FROM THE GARDEN SOLD HOUSEHOLD PRODUCE SOLD MAIZE SOLD MAIZE TO HELP SOLVE THE PROBLEM SOLD MAIZE TO SOLVE THE PROBLEM SOLD MUCH OF THE HARVEST SOLD MY GROUNDNUTS AND IRISH POTATOES SOLD MY MAIZE SOLD MY OUTPUT CROPS LIKE BEANS SOLD PRODUCE SOLD PRODUCE FROM THE GARDEN SOLD SOGHUM TO PAY FOR FEES SOLD SOME BANANAS TO PAY SOLD SOME FOOD PRODUCTS SOMEONE GAVE HER WHAT TO EAT SOUGHT LEGAL JUSTICE STILL THE SAME SUPPORT FROM RELATIVES THE CASE IS STILL IN COURT THE FOOD PROBLEM WAS SOLVED BY SPONSORSHIP GIVEN BY AN NGO THE PERSON WHO BURNT IT PAID IT OFF TRY TO FIT IN THE SAME HUT ALMOST 7 PEOPLE WALKED FOR TWO DAYS TO REACH THE HEALTH FACILITY WE ARE TRYING TO LOOK FOR MONEY TO THATCH THE HOUSE AND RECONSTRUCT WE RELOCATED TO ANOTHER UNUSED LAND TO CULTIVATE WE SURVIVE BECAUSE OF GOD'S MERCY WE WENT TO THE HOSPITAL; FOR TREATMENT WENT FOR A LEGAL ACTION FROM LC WENT TO GOVERNMENT HEALTH UNIT WHAT TO THE HOSPITAL FOR TREATMENT WORK AS A CASUAL LABOURER IN PEOPLE'S FARM hh10 q7:how did your household attempt to cope with this problem - other 2? hh10 q7:how did your household attempt to cope with this problem - other 2? hh10 q7:how did your household attempt to cope with this problem - other 2? hh10 q7:how did your household attempt to cope with this problem - other 2? hh10 q7:how did your household attempt to cope with this problem - other 2? 10 FREE GOVERNMENT MEDICATION GARDEN TO WORK FOR MONEY TO BUY HOUSEHOLD NEEDS I RENTED A PLOT OF LAND TO CULTIVATE ON I WENT TO GOVERNMENT HOSPITAL FOR TREATMENT SELLING OF BEANS,SIMSIM SELLING OF HOME PRODUCTS(CROPS) SICKNESS I WENT TOP THE HOSPAL FOR TREATMENT SOLD AGRICULTURAL PRODUCTS SOLD LIVESTOCK TOOK THE SICK BABY TO GOVT HOSPITAL hh11 q1: is anyone form this household currently a member of a village savings a hh11 q1: is anyone form this household currently a member of a village savings a hh11 q1: is anyone form this household currently a member of a village savings a hh11 q1: is anyone form this household currently a member of a village savings a hh11 q1: is anyone form this household currently a member of a village savings a 3980 1 yes 2 no 98 don't know/no response hh11_q2:is the village savings and loans associaltion(vsla) run by care internat hh11_q2:is the village savings and loans associaltion(vsla) run by care internat hh11_q2:is the village savings and loans associaltion(vsla) run by care internat hh11_q2:is the village savings and loans associaltion(vsla) run by care internat hh11_q2:is the village savings and loans associaltion(vsla) run by care internat 1093 2887 1 yes 2 no 98 don't know/no response Sysmiss hh11_q3:do you or anybody in this household currently have any cash savings? hh11_q3:do you or anybody in this household currently have any cash savings? hh11_q3:do you or anybody in this household currently have any cash savings? hh11_q3:do you or anybody in this household currently have any cash savings? hh11_q3:do you or anybody in this household currently have any cash savings? 3980 1 yes 2 no 98 don't know/no response hh11 q4a: where do you/person in your household keep their cash savings? hh11 q4a: where do you/person in your household keep their cash savings? hh11 q4a: where do you/person in your household keep their cash savings? hh11 q4a: where do you/person in your household keep their cash savings? hh11 q4a: where do you/person in your household keep their cash savings? 1311 2669 1 at home 2 vsla (village saving s and loan assosiations) 3 rosca and other informal savings scheme 4 ngo / mfi 5 cooperative/sacco 6 bank / formal institution 7 with a trader / shop 97 other 98 don't know/no response Sysmiss hh11 q4b: where do you/person in your household keep their cash savings? hh11 q4b: where do you/person in your household keep their cash savings? hh11 q4b: where do you/person in your household keep their cash savings? hh11 q4b: where do you/person in your household keep their cash savings? hh11 q4b: where do you/person in your household keep their cash savings? 239 3741 1 at home 2 vsla (village saving s and loan assosiations) 3 rosca and other informal savings scheme 4 ngo / mfi 5 cooperative/sacco 6 bank / formal institution 7 with a trader / shop 97 other 98 don't know/no response Sysmiss hh11 q4c: where do you/person in your household keep their cash savings? hh11 q4c: where do you/person in your household keep their cash savings? hh11 q4c: where do you/person in your household keep their cash savings? hh11 q4c: where do you/person in your household keep their cash savings? hh11 q4c: where do you/person in your household keep their cash savings? 22 3958 1 at home 2 vsla (village saving s and loan assosiations) 3 rosca and other informal savings scheme 4 ngo / mfi 5 cooperative/sacco 6 bank / formal institution 7 with a trader / shop 97 other 98 don't know/no response Sysmiss hh11 q4c: where do you/person in your household keep their cash savings - other hh11 q4c: where do you/person in your household keep their cash savings - other hh11 q4c: where do you/person in your household keep their cash savings - other hh11 q4c: where do you/person in your household keep their cash savings - other hh11 q4c: where do you/person in your household keep their cash savings - other 13 ABEK CEDA CEDE CHURCH CHURCH GROUP CLAN FRIENDS HEALTH CENTRE GROUP MOBILE MONEY NAADS RELIGIOUS SAVINGS GROUP TEA SCHEME UWESO GROUP hh11 q5 how much in total is currently held in savings by all members of your h hh11 q5 how much in total is currently held in savings by all members of your h hh11 q5 how much in total is currently held in savings by all members of your h hh11 q5 how much in total is currently held in savings by all members of your h hh11 q5 how much in total is currently held in savings by all members of your h 1311 2669 98 don't know 200 300 500 1000 1500 2000 2200 2500 3000 4000 5000 6000 6500 6600 7000 7500 8000 8800 9000 9500 9900 10000 11000 12000 12300 13000 15000 15400 16000 16500 17000 18000 20000 21000 22000 22800 23000 24000 25000 27000 30000 31850 32000 33000 34000 35000 35200 36000 38000 39000 40000 42000 44000 45000 47000 48000 50000 52000 53000 54000 55000 56000 60000 63000 64000 66000 68000 70000 72000 75000 76000 80000 84000 85000 86000 87000 88000 89000 90000 94000 100000 105000 108000 110000 112000 120000 126000 127000 130000 137000 138000 140000 145000 150000 155000 156000 160000 170000 180000 195000 200000 205000 210000 216000 220000 225000 230000 235000 240000 250000 252000 260000 267000 268000 270000 277000 280000 300000 310000 319000 320000 340000 349000 350000 400000 430000 436000 444000 448000 450000 500000 600000 630000 650000 700000 720000 770000 800000 900000 910000 1000000 1030000 1250000 1300000 1500000 1700000 1800000 2000000 2200000 3000000 3800000 4000000 5000000 5500000 6000000 6500000 10000000 15000000 30000000 62000000 Sysmiss hh11 q6:has anybody in your household borrowed any money in the last 12 months? hh11 q6:has anybody in your household borrowed any money in the last 12 months? hh11 q6:has anybody in your household borrowed any money in the last 12 months? hh11 q6:has anybody in your household borrowed any money in the last 12 months? hh11 q6:has anybody in your household borrowed any money in the last 12 months? 3980 1 yes 2 no 98 don't know/no response hh11 q7:if not why not? hh11 q7:if not why not? hh11 q7:if not why not? hh11 q7:if not why not? hh11 q7:if not why not? 2057 1923 1 no one would lend: no one has money 2 no one would lend: not credit worthy 3 prefer not to owe money 4 don’t need it 97 other 98 don't know/no response Sysmiss hh11 q6:if not why not - other? hh11 q6:if not why not - other? hh11 q6:if not why not - other? hh11 q6:if not why not - other? hh11 q6:if not why not - other? 49 ALREADY HAS LOAN CAN'T PAY BACK CANT AFFORD TO PAY DIFFICULT TO PAY DO ODD JOBS FOR MONEY DOESN'T KNOW THE PROCESS DONT HAVE ANYONE I CAN TALK TO ALOT MO FEAR BAD LOAN RECOVERS FEAR DEPTS FEARING AND ASSOCIATED BURDENS FEARING DISTURBANCE FROM CALENDER FEARS TO BE ARRESTED GOT CAPITAL FOR THE HOUSEHOLD BUSINESS HARD TO PAY HELP FROM THE CHILDREN HIGH INTEREST RATE HIGH INTREST RATE I DON`T HAVE WAYS TO PAY BACK JERUSAND CONDITION JUST STARTED LABOUR FOR PAYMENT NO ABLE TO PAY BACK NO MEANS TO PAY BACK NO MONEY TO PAY BACK NO ONE IS WILLING TO LEND ME MONEY NO SECURITY NO WAY TO PAY BACK NO WAYS OF PAYING IT BACK NO WAYS OF REPAYMENT NOT ABLE TO PAY NOT ABLE TO PAY BACK NOTHING TO PAY BACK WITH NOTHING TO PAY IT BACK RELIGION SELL CROPS TO BUY WHAT I NEED SHE FEARS TROUBLE THAT COMES WHEN SHE TERMS AND CONDITIONS TERMS AND CONDITONS WERE HARSH TERMS CONDITION THAT AM OLD I CANT PAY THE GROUP HAS JUST BEGUN THERE IS NO MONEY THEY WILL NOT GIVE ME TO PAY NO MONEY UNABLE TO PAY BACK hh11 q8:how many times? hh11 q8:how many times? hh11 q8:how many times? hh11 q8:how many times? hh11 q8:how many times? 1888 2092 1 2 3 4 5 6 7 8 9 10 11 12 15 20 30 97 98 don't know/no response Sysmiss hh11 q9:how much money did you borrow in total in the last 12 months?- ugx hh11 q9:how much money did you borrow in total in the last 12 months?- ugx hh11 q9:how much money did you borrow in total in the last 12 months?- ugx hh11 q9:how much money did you borrow in total in the last 12 months?- ugx hh11 q9:how much money did you borrow in total in the last 12 months?- ugx 1888 2092 98 9999999999 153917185.522 1230098293.398 hh11 q10:how much do you currently owe in total to all sources of borrowing? - u hh11 q10:how much do you currently owe in total to all sources of borrowing? - u hh11 q10:how much do you currently owe in total to all sources of borrowing? - u hh11 q10:how much do you currently owe in total to all sources of borrowing? - u hh11 q10:how much do you currently owe in total to all sources of borrowing? - u 1888 2092 98 9999999999 2092367794.598 4068461809.66 hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh 1888 2092 1 private (family/friend) 2 trader 3 money lender 4 bank 5 ngo / mfi 6 religious group 7 rosca 8 vsla (village savings and loan association) 9 sacco 97 other 98 don't know/no response Sysmiss hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh 38 AFTER EVERY ONE YEAR BECHI GEN GROUP BUILDING RURAL AFRICAN COMMUNITIES-BRAC CHAIRMAN CHAN PWONYI GROUP CHURCH CLAN COMMITEE FAMILY SAVINGS FARMING GROUP FROM THE CHURCH FROM VILLAGE ASSOCIATION GROUP SAVINGS INFORMAL LOAN SCHEME INFORMAL SAVING INFORMAL SAVING AKIBA INFORMAL SAVING GROUP AKIBA INFORMAL SAVING SCHEME INFORMAL SAVINGS SCHEME KOKA MOBILE MONEY OTHER INFORMAL SAVING SCHEME OTHER INFORMAL SAVINGS OTHER SAVINGS SCHEME SKIBA SSD TIMBER GROUP UWESO UWESO GROUP VILLAGE BANK IN PAKWACH VILLAGE GROUP VILLAGE SAVINGS WOMEN ASSOCIATION YOUTH CONER hh11 q12a:what where the main reasons for this last loan? - first hh11 q12a:what where the main reasons for this last loan? - first hh11 q12a:what where the main reasons for this last loan? - first hh11 q12a:what where the main reasons for this last loan? - first hh11 q12a:what where the main reasons for this last loan? - first 1888 2092 1 basic food needs 2 basic supplies (batteries, gas, etc) 3 livestock 4 livestock production (incl. trade in livestock) 5 agricultural production (incl. trade in agricultural production) 6 household asset 7 cell phone airtime 8 business (not livestock or agriculture) 9 education expenses 10 health expenses 11 repay debt 97 other 98 don't know/no response Sysmiss hh11 q12b:what where the main reasons for this last loan? - second hh11 q12b:what where the main reasons for this last loan? - second hh11 q12b:what where the main reasons for this last loan? - second hh11 q12b:what where the main reasons for this last loan? - second hh11 q12b:what where the main reasons for this last loan? - second 636 3344 1 basic food needs 2 basic supplies (batteries, gas, etc) 3 livestock 4 livestock production (incl. trade in livestock) 5 agricultural production (incl. trade in agricultural production) 6 household asset 7 cell phone airtime 8 business (not livestock or agriculture) 9 education expenses 10 health expenses 11 repay debt 97 other 98 don't know/no response Sysmiss hh11 q12c:what where the main reasons for this last loan? - third hh11 q12c:what where the main reasons for this last loan? - third hh11 q12c:what where the main reasons for this last loan? - third hh11 q12c:what where the main reasons for this last loan? - third hh11 q12c:what where the main reasons for this last loan? - third 151 3829 1 basic food needs 2 basic supplies (batteries, gas, etc) 3 livestock 4 livestock production (incl. trade in livestock) 5 agricultural production (incl. trade in agricultural production) 6 household asset 7 cell phone airtime 8 business (not livestock or agriculture) 9 education expenses 10 health expenses 11 repay debt 97 other 98 don't know/no response Sysmiss hh11 q13:in an emergency situation would you be able to borrow a large amount of hh11 q13:in an emergency situation would you be able to borrow a large amount of hh11 q13:in an emergency situation would you be able to borrow a large amount of hh11 q13:in an emergency situation would you be able to borrow a large amount of hh11 q13:in an emergency situation would you be able to borrow a large amount of 3980 1 yes 2 no 98 dk/n/a hh11 q14:have you or any member of your household bought anything on credit in t hh11 q14:have you or any member of your household bought anything on credit in t hh11 q14:have you or any member of your household bought anything on credit in t hh11 q14:have you or any member of your household bought anything on credit in t hh11 q14:have you or any member of your household bought anything on credit in t 3980 1 yes 2 no 98 dk/n/a hh11 q15: if not why not? hh11 q15: if not why not? hh11 q15: if not why not? hh11 q15: if not why not? hh11 q15: if not why not? 2392 1588 1 2 3 4 97 others 98 dk/n/a Sysmiss hh11 q15: if not why not - other ? hh11 q15: if not why not - other ? hh11 q15: if not why not - other ? hh11 q15: if not why not - other ? hh11 q15: if not why not - other ? 45 BRINGS PROBLEMS CAN ALWAYS AFORD WHAT IS NEEDED CAN NOT AFORD TO PAY BACCK CANNOT PAY IT BACK CANT AFFORD TO PAY DIFFICULT TO PAY GOT FROM HOME BUSINESS HAD WHAT TO EAT HARD TO PAY HAS MONEY FOR BUYING THINGS HAVE OWN MONEY I HAVE A SHOP IT IS HARD TO PAY BACK MY HUSBAND BUYS, I DON'T KNOW NO ONE ACCEPTS TO GIVE CREDIT NO ONE ALOWS TO GIVE ON CREDIT NO ONE CAN GIVE NO ONE CAN GIVE CREDIT NO ONE CAN LEND NO ONE GIVES ON CREDIT NO WAY TO REPAY IT NO WAYS OF PAYING IT BACK NO WAYS OF REPAYMENT NON IS WILLING TO GIVE CREDIT NONE CAN GIVE CREDIT NOTHING TO PAY BACK OWNER DO NOT ACCEPT OWNER DOES NOT ACCEPT OWNERS DONT ALLOW TO TAKE GOODS ON CREDIT OWNERS DON`T ACCEPT PEOPLE DONT ALLOW GIVING THINGS TO OLD PEOPLE ON CREDIT PEOPLE DONT GIVE CREDIT PEOPLE DONT GIVE MONEY FOR CREDIT PEOPLE DONT PREFFER GIVING ITEMS ON CREDIT PEOPLE NO LONGER WANT TO SELL IN CREDIT PEOPLE NOT WILLING TO GIVE CREADIT PPLE DONT GIVE CREDIT RELATIVE GIVE MONEY RELIGION RESPONDENT IS OLD AND THEREFORE NO ONE CAN GIVE HIM ON CREDIT SHOPS ARE FAR THERE IS ENOUGH MONEY THERE IS NO ONE I CAN BORROW FROM TRADERS DONT ALLOW CREDIT VERY DIFFICULT FOR PEOPLE TO LEND YOU MONEY hh11 q16:how many times? hh11 q16:how many times? hh11 q16:how many times? hh11 q16:how many times? hh11 q16:how many times? 1576 2404 1 2 3 4 5 6 7 8 9 10 11 12 13 15 18 20 24 30 50 98 dk/can't remember Sysmiss hh11 q17: how much has your household purchased on credit in the last 3 months w hh11 q17: how much has your household purchased on credit in the last 3 months w hh11 q17: how much has your household purchased on credit in the last 3 months w hh11 q17: how much has your household purchased on credit in the last 3 months w hh11 q17: how much has your household purchased on credit in the last 3 months w 1576 2404 9999999999 165000310.199 1274186514.794 hh11 q18a:the last time you bought something on credit what did you buy - first? hh11 q18a:the last time you bought something on credit what did you buy - first? hh11 q18a:the last time you bought something on credit what did you buy - first? hh11 q18a:the last time you bought something on credit what did you buy - first? hh11 q18a:the last time you bought something on credit what did you buy - first? 1576 2404 1 basic food needs 2 basic supplies (batteries, paraffin, etc) 3 livestock 4 livestock production 5 agricultural production 6 household asset 7 cell phone airtime 8 business (not livestock or agriculture) 9 education expenses 10 health expenses 97 other 98 dk/can't remember Sysmiss hh11 q18b:the last time you bought something on credit what did you buy - second hh11 q18b:the last time you bought something on credit what did you buy - second hh11 q18b:the last time you bought something on credit what did you buy - second hh11 q18b:the last time you bought something on credit what did you buy - second hh11 q18b:the last time you bought something on credit what did you buy - second 739 3241 1 basic food needs 2 basic supplies (batteries, paraffin, etc) 3 livestock 4 livestock production 5 agricultural production 6 household asset 7 cell phone airtime 8 business (not livestock or agriculture) 9 education expenses 10 health expenses 97 other 98 dk/can't remember Sysmiss hh11 q18c:the last time you bought something on credit what did you buy - third? hh11 q18c:the last time you bought something on credit what did you buy - third? hh11 q18c:the last time you bought something on credit what did you buy - third? hh11 q18c:the last time you bought something on credit what did you buy - third? hh11 q18c:the last time you bought something on credit what did you buy - third? 89 3891 1 basic food needs 2 basic supplies (batteries, paraffin, etc) 3 livestock 4 livestock production 5 agricultural production 6 household asset 7 cell phone airtime 8 business (not livestock or agriculture) 9 education expenses 10 health expenses 97 other 98 dk/can't remember Sysmiss hh11 q19: how much do you currently owe (amount outstanding)? - ugx hh11 q19: how much do you currently owe (amount outstanding)? - ugx hh11 q19: how much do you currently owe (amount outstanding)? - ugx hh11 q19: how much do you currently owe (amount outstanding)? - ugx hh11 q19: how much do you currently owe (amount outstanding)? - ugx 1576 2404 9999999999 329961924.523 1786796939.769 hh12 q1a: if the household has received any cash help from any other households hh12 q1a: if the household has received any cash help from any other households hh12 q1a: if the household has received any cash help from any other households hh12 q1a: if the household has received any cash help from any other households hh12 q1a: if the household has received any cash help from any other households 3980 1 yes 2 no 97 others 98 dk/na hh12 q1b:total value received for any cash help from any other households as a g hh12 q1b:total value received for any cash help from any other households as a g hh12 q1b:total value received for any cash help from any other households as a g hh12 q1b:total value received for any cash help from any other households as a g hh12 q1b:total value received for any cash help from any other households as a g 875 3105 100 9999999999 22904222.283 477815640.591 hh12 q2a: if the household has received any food (or any other kind of non-cash hh12 q2a: if the household has received any food (or any other kind of non-cash hh12 q2a: if the household has received any food (or any other kind of non-cash hh12 q2a: if the household has received any food (or any other kind of non-cash hh12 q2a: if the household has received any food (or any other kind of non-cash 3980 1 yes 2 no 98 dk/na hh12 q2b:total value received for any food (or any other kind of non-cash assist hh12 q2b:total value received for any food (or any other kind of non-cash assist hh12 q2b:total value received for any food (or any other kind of non-cash assist hh12 q2b:total value received for any food (or any other kind of non-cash assist hh12 q2b:total value received for any food (or any other kind of non-cash assist 1450 2530 300 800000 26030.586 52483.431 hh12 q3a: if the household has received any cash aid from government agencies as hh12 q3a: if the household has received any cash aid from government agencies as hh12 q3a: if the household has received any cash aid from government agencies as hh12 q3a: if the household has received any cash aid from government agencies as hh12 q3a: if the household has received any cash aid from government agencies as 3980 1 yes 2 no 98 dk/na hh12 q3b:total value received for any cash aid from government agencies as a gif hh12 q3b:total value received for any cash aid from government agencies as a gif hh12 q3b:total value received for any cash aid from government agencies as a gif hh12 q3b:total value received for any cash aid from government agencies as a gif hh12 q3b:total value received for any cash aid from government agencies as a gif 29 3951 2000 9999999999 344961172.379 1856927701.297 hh12 q4a: if the household has received any food (or any other kind of non-cash hh12 q4a: if the household has received any food (or any other kind of non-cash hh12 q4a: if the household has received any food (or any other kind of non-cash hh12 q4a: if the household has received any food (or any other kind of non-cash hh12 q4a: if the household has received any food (or any other kind of non-cash 3980 1 yes 2 no 98 dk/na hh12 q4b:total value received for any food (or any other kind of non-cash assis hh12 q4b:total value received for any food (or any other kind of non-cash assis hh12 q4b:total value received for any food (or any other kind of non-cash assis hh12 q4b:total value received for any food (or any other kind of non-cash assis hh12 q4b:total value received for any food (or any other kind of non-cash assis 67 3913 2000 9999999999 149321070.134 1221686097.361 hh12 q5a: if the household has received any cash aid from ngos or religious orga hh12 q5a: if the household has received any cash aid from ngos or religious orga hh12 q5a: if the household has received any cash aid from ngos or religious orga hh12 q5a: if the household has received any cash aid from ngos or religious orga hh12 q5a: if the household has received any cash aid from ngos or religious orga 3980 1 yes 2 no 98 dk/na hh12 q5b:total value received for any cash aid from ngos or religious organizati hh12 q5b:total value received for any cash aid from ngos or religious organizati hh12 q5b:total value received for any cash aid from ngos or religious organizati hh12 q5b:total value received for any cash aid from ngos or religious organizati hh12 q5b:total value received for any cash aid from ngos or religious organizati 44 3936 1500 9999999999 227309011.341 1507551126.279 hh12 q6a: if the household has received any food (or any other kind of non-cash hh12 q6a: if the household has received any food (or any other kind of non-cash hh12 q6a: if the household has received any food (or any other kind of non-cash hh12 q6a: if the household has received any food (or any other kind of non-cash hh12 q6a: if the household has received any food (or any other kind of non-cash 3980 1 yes 2 no 98 dk/na hh12 q6b: total value received for any food (or any other kind of non-cash assi hh12 q6b: total value received for any food (or any other kind of non-cash assi hh12 q6b: total value received for any food (or any other kind of non-cash assi hh12 q6b: total value received for any food (or any other kind of non-cash assi hh12 q6b: total value received for any food (or any other kind of non-cash assi 277 3703 1000 9999999999 36139196.386 600839471.491 h12 q7a: in the past 3 months has your household given any cash help to any othe h12 q7a: in the past 3 months has your household given any cash help to any othe h12 q7a: in the past 3 months has your household given any cash help to any othe h12 q7a: in the past 3 months has your household given any cash help to any othe h12 q7a: in the past 3 months has your household given any cash help to any othe 3980 1 yes 2 no 98 dk/na h12 q7b: what was the total value of this transfer in the last 3 months? h12 q7b: what was the total value of this transfer in the last 3 months? h12 q7b: what was the total value of this transfer in the last 3 months? h12 q7b: what was the total value of this transfer in the last 3 months? h12 q7b: what was the total value of this transfer in the last 3 months? 575 3405 300 9999999999 34819402.083 589251696.058 hh12 q8a:in the past 3 months has your household given any food (or any other ki hh12 q8a:in the past 3 months has your household given any food (or any other ki hh12 q8a:in the past 3 months has your household given any food (or any other ki hh12 q8a:in the past 3 months has your household given any food (or any other ki hh12 q8a:in the past 3 months has your household given any food (or any other ki 3980 1 yes 2 no 98 dk/na hh12 q8b:what was the total value of this transfer in the last 3 months? hh12 q8b:what was the total value of this transfer in the last 3 months? hh12 q8b:what was the total value of this transfer in the last 3 months? hh12 q8b:what was the total value of this transfer in the last 3 months? hh12 q8b:what was the total value of this transfer in the last 3 months? 1249 2731 200 9999999999 40054602.678 631692471.812 hh13 q1:in the past 30 days, was there ever no food to eat of any kind in your h hh13 q1:in the past 30 days, was there ever no food to eat of any kind in your h hh13 q1:in the past 30 days, was there ever no food to eat of any kind in your h hh13 q1:in the past 30 days, was there ever no food to eat of any kind in your h hh13 q1:in the past 30 days, was there ever no food to eat of any kind in your h 3980 1 yes 2 no 98 hh13 q2: how often did this happen in the past 30 days ? hh13 q2: how often did this happen in the past 30 days ? hh13 q2: how often did this happen in the past 30 days ? hh13 q2: how often did this happen in the past 30 days ? hh13 q2: how often did this happen in the past 30 days ? 2119 1861 1 rarely (1 – 2 days) 2 sometimes (3 – 10 days) 3 often (more than 10 days) 98 Sysmiss hh13 q3:in the past 30 days, did you or any household member go to sleep at nigh hh13 q3:in the past 30 days, did you or any household member go to sleep at nigh hh13 q3:in the past 30 days, did you or any household member go to sleep at nigh hh13 q3:in the past 30 days, did you or any household member go to sleep at nigh hh13 q3:in the past 30 days, did you or any household member go to sleep at nigh 3980 1 yes 2 no 98 dk/na hh13 q4: how often did this happen in the past 30 days? hh13 q4: how often did this happen in the past 30 days? hh13 q4: how often did this happen in the past 30 days? hh13 q4: how often did this happen in the past 30 days? hh13 q4: how often did this happen in the past 30 days? 2116 1864 1 rarely (1 – 2 days) 2 sometimes (3 – 10 days) 3 often (more than 10 days) 98 dk/na Sysmiss hh13 q5:in the past 30 days, did you or any household member go a whole day and hh13 q5:in the past 30 days, did you or any household member go a whole day and hh13 q5:in the past 30 days, did you or any household member go a whole day and hh13 q5:in the past 30 days, did you or any household member go a whole day and hh13 q5:in the past 30 days, did you or any household member go a whole day and 3980 1 yes 2 no 98 dk/na hh13 q6:how often did this happen in the past 30 days? hh13 q6:how often did this happen in the past 30 days? hh13 q6:how often did this happen in the past 30 days? hh13 q6:how often did this happen in the past 30 days? hh13 q6:how often did this happen in the past 30 days? 1093 2887 1 rarely (1 – 2 days) 2 sometimes (3 – 10 days) 3 often (more than 10 days) 98 dk/na Sysmiss household members - male adults household members - male adults household members - male adults household members - male adults household members - male adults 3980 1 2 3 4 5 6 7 8 11 household members - female adults household members - female adults household members - female adults household members - female adults household members - female adults 3980 1 2 3 4 5 6 7 10 household members - male children household members - male children household members - male children household members - male children household members - male children 3980 1 2 3 4 5 6 7 8 9 11 household members - female children household members - female children household members - female children household members - female children household members - female children 3980 1 2 3 4 5 6 7 8 9 visitors - male adults visitors - male adults visitors - male adults visitors - male adults visitors - male adults 3980 1 2 3 4 5 6 7 8 10 visitors - female adults visitors - female adults visitors - female adults visitors - female adults visitors - female adults 3980 1 2 3 4 5 6 7 9 13 visitors - male children visitors - male children visitors - male children visitors - male children visitors - male children 3980 1 2 3 4 5 6 7 15 visitors - female children visitors - female children visitors - female children visitors - female children visitors - female children 3980 22 0.179 0.752 hh15 q1 were you aware of an exercise carried out in this village where all peop hh15 q1 were you aware of an exercise carried out in this village where all peop hh15 q1 were you aware of an exercise carried out in this village where all peop hh15 q1 were you aware of an exercise carried out in this village where all peop hh15 q1 were you aware of an exercise carried out in this village where all peop 3980 1 yes 2 no 98 dk/na hh15 q2 were all members of this household registered during that exercise? hh15 q2 were all members of this household registered during that exercise? hh15 q2 were all members of this household registered during that exercise? hh15 q2 were all members of this household registered during that exercise? hh15 q2 were all members of this household registered during that exercise? 3249 731 1 yes 2 no, no household members were registered 3 no, some household members were not registered 4 don’t know 98 Sysmiss hh15 q3 why weren’t all members of this household registered? hh15 q3 why weren’t all members of this household registered? hh15 q3 why weren’t all members of this household registered? hh15 q3 why weren’t all members of this household registered? hh15 q3 why weren’t all members of this household registered? 181 3799 1 some members of the household were not present at the time of the births registration 2 all members of the household were not present at the time of registration 3 some households member refused to be registered 4 all household refused to be registered 5 births registration people did not come to this household 6 some members were not member of the household when registration happened 97 other 98 dk/can't remember Sysmiss hh15 q3 why weren’t all members of this household registered - other? hh15 q3 why weren’t all members of this household registered - other? hh15 q3 why weren’t all members of this household registered - other? hh15 q3 why weren’t all members of this household registered - other? hh15 q3 why weren’t all members of this household registered - other? 17 AM ALONE BIRTH REGISTRATION PEOPLE WERE REGISTERING CHILDREN 5YRS BEL CHOOSE ONLY YOUNG CHILD DO NOT KNOW I DO NOT KNOW NOT BONE NOT YET BORN NOT YET BOUGHT ONLY CHILDREN WERE REGISTERED SOME OF MY CHOLDREN WERE AT SCHOOL (BOARDING) THE REGISTRATION REQUIRED A SPECIFIC AGE THEY SAID FORMS WERE FINISHED WANTED ONLY CHILDREN WHO WERE ABOVE 5 YEARS OLD WE HAD A LOT OF PROBLEMS AND COULD NOT REMEMBER REGISTRATION hh15 q4:when was this household registered? hh15 q4:when was this household registered? hh15 q4:when was this household registered? hh15 q4:when was this household registered? hh15 q4:when was this household registered? 3042 938 12008 989998 396586.412 450472.684 hh15 q5:have any members of this household received a birth certificate? hh15 q5:have any members of this household received a birth certificate? hh15 q5:have any members of this household received a birth certificate? hh15 q5:have any members of this household received a birth certificate? hh15 q5:have any members of this household received a birth certificate? 3231 749 1 yes, all 2 yes, some 3 no 98 dk/can't remember Sysmiss hh15 q6 :overall, how would you describe your treatment by the people conducting hh15 q6 :overall, how would you describe your treatment by the people conducting hh15 q6 :overall, how would you describe your treatment by the people conducting hh15 q6 :overall, how would you describe your treatment by the people conducting hh15 q6 :overall, how would you describe your treatment by the people conducting 3249 731 1 good 2 satisfactory 3 not good 98 dk/can't remember Sysmiss hh15 q7:are you aware of a government programme operating in this area called th hh15 q7:are you aware of a government programme operating in this area called th hh15 q7:are you aware of a government programme operating in this area called th hh15 q7:are you aware of a government programme operating in this area called th hh15 q7:are you aware of a government programme operating in this area called th 3980 1 yes 2 no 98 dk/can't remember hh15 q8:what was the main way you were informed about the programme? hh15 q8:what was the main way you were informed about the programme? hh15 q8:what was the main way you were informed about the programme? hh15 q8:what was the main way you were informed about the programme? hh15 q8:what was the main way you were informed about the programme? 2763 1217 1 people from sage came to this village to inform us about it 2 public meeting in this village 3 public meeting outside of this village 4 village chairperson (lc1) told us individually 5 elders 6 word of mouth 7 births registration notifier 8 radio 97 other 98 dk/can't remember Sysmiss hh15 q8:what was the main way you were informed about the programme - other? hh15 q8:what was the main way you were informed about the programme - other? hh15 q8:what was the main way you were informed about the programme - other? hh15 q8:what was the main way you were informed about the programme - other? hh15 q8:what was the main way you were informed about the programme - other? 49 ANNOUNCED FROM CHURCH ANOTHER VILLAGE ANOTHER VILLAGE OPERI AT A BURIAL PLACE AT BURIAL PLACE AT SCHOOL AT THE DISTRICT BENEFICIARY OF SAGE CDO'S OFFICE CHURCH COMMUNITY BASED OFFIC COUNCILLOR FROM BENEFICIARY OF S GOMBOLALA COUNCILOR IN CHURCH LC 3 CHAIRMAN LC5 OF APAC TO ME ABO LOCAL CHIEF 3 MAYOR OF ANDUKU TOWN MEETING AT THE TOWN C MEGA PHONE MEGAPHONE PARISH CHIEF PEOPLE PEOPLE IN THE VILLAGE PEOPLE IN VILLAGES REFUSED TO ANSWER SAGE TRAINING SUB COUNTY SUB COUNTY CHIEF SUBCOUNTY SUBCOUNTY /GOMBOLALA TOWN COUNCIL VICE CHAIRPERSON hh15 q9:were the program's objectives explained to you? hh15 q9:were the program's objectives explained to you? hh15 q9:were the program's objectives explained to you? hh15 q9:were the program's objectives explained to you? hh15 q9:were the program's objectives explained to you? 2763 1217 1 yes 2 no 98 dk/can't remember Sysmiss hh15 q10:do you know how households will be selected to be beneficiaries by the hh15 q10:do you know how households will be selected to be beneficiaries by the hh15 q10:do you know how households will be selected to be beneficiaries by the hh15 q10:do you know how households will be selected to be beneficiaries by the hh15 q10:do you know how households will be selected to be beneficiaries by the 2763 1217 1 yes 2 no 98 dk/can't remember Sysmiss hh15 q11:how? hh15 q11:how? hh15 q11:how? hh15 q11:how? hh15 q11:how? 1125 2855 1 appropriate answer 2 inappropriate answer 98 Sysmiss hh15 q12: do you feel that these selection criteria are fair? hh15 q12: do you feel that these selection criteria are fair? hh15 q12: do you feel that these selection criteria are fair? hh15 q12: do you feel that these selection criteria are fair? hh15 q12: do you feel that these selection criteria are fair? 1125 2855 1 yes 2 no 3 don’t know Sysmiss hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? 87 3893 1 doesn’t target the poorest people 2 some needy households are missed 3 wealthier households also get money 4 too few households are enrolled 5 the community should select the beneficiaries 6 we don’t understand the eligibility criteria 97 other 98 dk/can't remember Sysmiss hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? 51 3929 1 doesn’t target the poorest people 2 some needy households are missed 3 wealthier households also get money 4 too few households are enrolled 5 the community should select the beneficiaries 6 we don’t understand the eligibility criteria 97 other 98 dk/can't remember Sysmiss hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? 32 3948 1 doesn’t target the poorest people 2 some needy households are missed 3 wealthier households also get money 4 too few households are enrolled 5 the community should select the beneficiaries 6 we don’t understand the eligibility criteria 97 other 98 dk/can't remember Sysmiss hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? 10 3970 1 doesn’t target the poorest people 2 some needy households are missed 3 wealthier households also get money 4 too few households are enrolled 5 the community should select the beneficiaries 6 we don’t understand the eligibility criteria 97 other 98 dk/can't remember Sysmiss hh15 q13:why not - other? hh15 q13:why not - other? hh15 q13:why not - other? hh15 q13:why not - other? hh15 q13:why not - other? 1 T hh15 q14 :do you know what the value of the transfer is? hh15 q14 :do you know what the value of the transfer is? hh15 q14 :do you know what the value of the transfer is? hh15 q14 :do you know what the value of the transfer is? hh15 q14 :do you know what the value of the transfer is? 2763 1217 1 ugx 23,000 2 other amount 3 don’t know 98 dk/can't remember Sysmiss hh15 q15:how often is the transfer paid? hh15 q15:how often is the transfer paid? hh15 q15:how often is the transfer paid? hh15 q15:how often is the transfer paid? hh15 q15:how often is the transfer paid? 2763 1217 1 once a month 2 other payment period 3 don’t know Sysmiss hh15 q16:do you know how the payment is made? hh15 q16:do you know how the payment is made? hh15 q16:do you know how the payment is made? hh15 q16:do you know how the payment is made? hh15 q16:do you know how the payment is made? 2763 1217 1 payment transferred onto mtn card which can then be converted to cash 2 other answer 3 don’t know Sysmiss hh15 q17:did your household spend any money during any part of the births regist hh15 q17:did your household spend any money during any part of the births regist hh15 q17:did your household spend any money during any part of the births regist hh15 q17:did your household spend any money during any part of the births regist hh15 q17:did your household spend any money during any part of the births regist 2763 1217 1 yes 2 no 98 dk/can't remember Sysmiss hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin 78 3902 10000 1070.513 2449.124 hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin 83 3897 16000 662.651 2307.343 hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin 83 3897 40000 1018.072 4536.065 hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin 7 FOR THE WELFARE OF THE CHURCH L.C/MEN I REGISTRATION OF ELDERS REGISTRATION OF ELDERS (BENEFICIARIES) TAKING PHOTOGRAPHS hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin 9 3971 5000 1333.333 1581.139 hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 83 3897 35 1.06 3.98 hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 83 3897 1 3 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 81 3899 1 2 3 4 5 8 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 83 3897 1 2 3 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 82 3898 1 2 4 5 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 83 3897 1 2 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 83 3897 1 5 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 83 3897 1 2 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 5 3975 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 2 3978 1 Sysmiss hh15 q20:were your household selected to be a beneficiary of sage? hh15 q20:were your household selected to be a beneficiary of sage? hh15 q20:were your household selected to be a beneficiary of sage? hh15 q20:were your household selected to be a beneficiary of sage? hh15 q20:were your household selected to be a beneficiary of sage? 2763 1217 1 yes 2 no 3 don’t know Sysmiss hh15 q21:has your household received a mtn card from sage programme? hh15 q21:has your household received a mtn card from sage programme? hh15 q21:has your household received a mtn card from sage programme? hh15 q21:has your household received a mtn card from sage programme? hh15 q21:has your household received a mtn card from sage programme? 607 3373 1 yes 2 no Sysmiss hh15 q22:have you attended a demonstration of how the payment is made? hh15 q22:have you attended a demonstration of how the payment is made? hh15 q22:have you attended a demonstration of how the payment is made? hh15 q22:have you attended a demonstration of how the payment is made? hh15 q22:have you attended a demonstration of how the payment is made? 607 3373 1 yes 2 no Sysmiss hh15 q23:where did the demonstration take place? hh15 q23:where did the demonstration take place? hh15 q23:where did the demonstration take place? hh15 q23:where did the demonstration take place? hh15 q23:where did the demonstration take place? 62 3918 1 in this village 2 in another village in this parish 3 in another village in another parish 4 at the sub-county centre 5 further away 98 Sysmiss hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme 2763 1217 1 village chairperson (lc1) 2 parish chief 3 sub-county chief 4 sage staff member 5 sage head office 6 births registration notifier 97 other 98 dk/can't remember Sysmiss hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme 104 AREA COUNCELLOR CDO CDO'S OFFICE COMMUNITY DEVELOPMENT OFFICER COUNCELLOR COUNCELLOR AT DISTRICT COUNCELOR COUNCILLOR COUNCILOR DISTRICT DEVELOPMENT OFFICE DISTRICT OFFICER DK DNT KNOW DO NOT KNOW DOESN'T NOT MIND DOES`NT KNOW WHO TO CONSULT DON'T KNOW DONT KNOW DONT KNOW ANYBODY DON`T KNOW ELDER ELDERLY CHIEF ELDERS ELDERS REPRESENTATIVE FATHER FRIENDS GOD INTERVIEWER LC 3 LC3 LC5 CHAIRMAN LCI LEADER OF ELDERS IN THE COMMUNITY LOCAL COUNCIL 3 MTN MY GRAND SON NEIGHBOURS NEIGHBOUS NEIHGBOURS NO BODY IS THERE FROM SAGE WE CAN GO TO NO WHERE NOBODY NONE PDC PROBATIN OFFICER PROGRAMME CORDINATOR RDC STEP SON STILL UNKNOWN TO THEM THEY WILL FIND OUT MORE THEY DON`T KNOW WHERE TO START TOWN AGENT TOWN COUNCIL UNLESS CONFERRED THAT THE PERSON IS RESPONSIBLE VILLAGE PROGRAMME CORDINATOR WOMEN LEADER hh15 q25: have you ever made an appeal or raised a complaint with or about the p hh15 q25: have you ever made an appeal or raised a complaint with or about the p hh15 q25: have you ever made an appeal or raised a complaint with or about the p hh15 q25: have you ever made an appeal or raised a complaint with or about the p hh15 q25: have you ever made an appeal or raised a complaint with or about the p 2763 1217 1 yes 2 no 98 dk/can't remember Sysmiss hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? 179 3801 1 village chairperson (lc1) 2 parish chief 3 sub-county chief 4 sage staff member 5 sage head office 6 births registration notifier 97 other 98 dk/can't remember Sysmiss hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? 8 CDO ELDER HUSBAND LC3 MEMBER OF PALIAMENT NEIGHBOURS SAGE MATIFIER VILLAGE MEMBERS hh15 q27:did you receive a response to your appeal/complaint from the programme? hh15 q27:did you receive a response to your appeal/complaint from the programme? hh15 q27:did you receive a response to your appeal/complaint from the programme? hh15 q27:did you receive a response to your appeal/complaint from the programme? hh15 q27:did you receive a response to your appeal/complaint from the programme? 179 3801 1 yes 2 only made appeal/complaint very recently 3 have not had a response 98 dk/can't remember Sysmiss hh15 q28:overall, how would you describe your treatment by the sage programme? hh15 q28:overall, how would you describe your treatment by the sage programme? hh15 q28:overall, how would you describe your treatment by the sage programme? hh15 q28:overall, how would you describe your treatment by the sage programme? hh15 q28:overall, how would you describe your treatment by the sage programme? 179 3801 1 very good 2 quite good 3 neither good nor bad 4 quite bad 5 very bad 98 dk/can't remember Sysmiss hh15 q29 would you say there was any shame associated with being enrolled in th hh15 q29 would you say there was any shame associated with being enrolled in th hh15 q29 would you say there was any shame associated with being enrolled in th hh15 q29 would you say there was any shame associated with being enrolled in th hh15 q29 would you say there was any shame associated with being enrolled in th 2763 1217 1 yes 2 no 98 dk/can't remember Sysmiss hh15 q30 would you say there has been any tensions or insecurity caused by the hh15 q30 would you say there has been any tensions or insecurity caused by the hh15 q30 would you say there has been any tensions or insecurity caused by the hh15 q30 would you say there has been any tensions or insecurity caused by the hh15 q30 would you say there has been any tensions or insecurity caused by the 2763 1217 1 yes 2 no 98 dk/can't remember Sysmiss 3980 indicator of each last matching case as primary indicator of each last matching case as primary indicator of each last matching case as primary indicator of each last matching case as primary indicator of each last matching case as primary 3980 duplicate case 1 primary case hh receiving informal assistance in the last 3 months hh receiving informal assistance in the last 3 months hh receiving informal assistance in the last 3 months hh receiving informal assistance in the last 3 months hh receiving informal assistance in the last 3 months 3980 1 hh receiving cash aid (informal) in the last 3 months hh receiving cash aid (informal) in the last 3 months hh receiving cash aid (informal) in the last 3 months hh receiving cash aid (informal) in the last 3 months hh receiving cash aid (informal) in the last 3 months 3980 1 hh receiving in-kind aid (informal) in the last 3 months hh receiving in-kind aid (informal) in the last 3 months hh receiving in-kind aid (informal) in the last 3 months hh receiving in-kind aid (informal) in the last 3 months hh receiving in-kind aid (informal) in the last 3 months 3980 1 total value of informal assistance received in the last 3 months total value of informal assistance received in the last 3 months total value of informal assistance received in the last 3 months total value of informal assistance received in the last 3 months total value of informal assistance received in the last 3 months 3980 3600000 19833.882 98049.665 hh giving informal assistance in the last 3 months hh giving informal assistance in the last 3 months hh giving informal assistance in the last 3 months hh giving informal assistance in the last 3 months hh giving informal assistance in the last 3 months 3980 1 hh giving cash aid (informal) in the last 3 months hh giving cash aid (informal) in the last 3 months hh giving cash aid (informal) in the last 3 months hh giving cash aid (informal) in the last 3 months hh giving cash aid (informal) in the last 3 months 3980 1 hh giving in-kind aid (informal) in the last 3 months hh giving in-kind aid (informal) in the last 3 months hh giving in-kind aid (informal) in the last 3 months hh giving in-kind aid (informal) in the last 3 months hh giving in-kind aid (informal) in the last 3 months 3980 1 total value of informal assistance given in the last 3 months total value of informal assistance given in the last 3 months total value of informal assistance given in the last 3 months total value of informal assistance given in the last 3 months total value of informal assistance given in the last 3 months 3976 4 2200000 12413.217 70302.275 hh either giving or receiving informal assistance in the last 3 months hh either giving or receiving informal assistance in the last 3 months hh either giving or receiving informal assistance in the last 3 months hh either giving or receiving informal assistance in the last 3 months hh either giving or receiving informal assistance in the last 3 months 3980 1 hh able to borrow cash in emergency hh able to borrow cash in emergency hh able to borrow cash in emergency hh able to borrow cash in emergency hh able to borrow cash in emergency 3907 73 Not able to borrow 1 Able to borrow Sysmiss hh reporting they have raised an issiue in a community meeting in the last 12 mo hh reporting they have raised an issiue in a community meeting in the last 12 mo hh reporting they have raised an issiue in a community meeting in the last 12 mo hh reporting they have raised an issiue in a community meeting in the last 12 mo hh reporting they have raised an issiue in a community meeting in the last 12 mo 3963 17 1 Sysmiss hh reporting likely they could make the councillor listen to concerns hh reporting likely they could make the councillor listen to concerns hh reporting likely they could make the councillor listen to concerns hh reporting likely they could make the councillor listen to concerns hh reporting likely they could make the councillor listen to concerns 3978 2 1 Sysmiss hh reporting people come to them for advice hh reporting people come to them for advice hh reporting people come to them for advice hh reporting people come to them for advice hh reporting people come to them for advice 3980 1 (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod 3980 SCG 1 VFSG actual treatment status actual treatment status actual treatment status actual treatment status actual treatment status 3902 78 Control 1 Treatment 2 Do not know SAGE Sysmiss baseline treatment group baseline treatment group baseline treatment group baseline treatment group baseline treatment group 3980 Control 1 Treatment Community ID Community ID Community ID Community ID Community ID 3980 1031030102 4151140802 3092489768.58 737263910.086 District District District District District 3980 APAC KABERAMAIDO KATAKWI KIBOGA KYENJOJO MOROTO NAKAPIRIPIRIT NEBBI County County County County County 3980 CHEKWII JONAM KABERAMAIDO KALAKI KIBOGA KWANIA MARUZI MATHENIKO MOROTO MUNICIPALITY MWENGE PADYERE PIAN TOROMA USUK Sub-County Sub-County Sub-County Sub-County Sub-County 3980 ABONGOMOLA ADUKU AKOKORO ALWA ANYARA APAC ATEGO BUGAAKI BUTIITI CHAWENTE CHEGERE ERUSSI IBUJE KABERAMAIDO TOWN COUNCIL KAKOMONGOLE KALAKI KAPEKE KAPUJAN KATOOKE TOWN COUNCIL KIBOGA TOWN COUNCIL KIGARAALE KISOJO KITOOKE KUCWINY KYARUSOZI KYENJOJO TOWN COUNCIL MAGORO NABILATUK NADUNGET NAMBEISO NDHEW NEBBI TOWN COUNCIL NYANTUNGO OCHERO OMODOI PAKWACH PAKWACH TOWN COUNCIL PANYANGO PANYIMUR RUPA SOUTH DIVISION TOROMA USUK Parish Parish Parish Parish Parish 3980 AAKUM ABALANG ABANY ABAR EAST ABAR WEST ABEDI ABINDU WARD ABOKO ABONGO ABULI ABWOKODIA ABWONG ACABA ACEGERETOLIM ACENLWORO ACHERER ACHUNGI ADEM ADOLO ADYEDA AGANGA AGONG AJAR AKALI AKERE AKETO AKOKORO AKURAO AKUYAM ALARO ALIDO ALIRA ALWOROCENG AMII- AMILO AMII-ABERIDWOGO AMOR WARD AMOR WEST AMORIGOGA AMUN AMUSIA ANGODINGODI ANWANGI ANYARA AORNGA APARISIA APIRE APOI APUUTON ASURET ATANA ATIGOLWOK ATIK ATONGTIDI ATOPI ATULE ATYAK AWILA AYABI AYAGO AYEOLYEC BAMUSUUTA WARD BARAHIIJA BARODILO BORO BUCUNI WARD BUNG BURARRO BUSANZA BUTARA BUTIITI BUZIBWEERA WARD BWENZI CAMPSWAHILI JUU CAMPSWAHILLICHIN CENTRAL WARD CHEGERE CHELEUKO ENJERU ETEKOBER FOREST WARD GANDA HAKATOMA HIMA ILEE ISANDARA JUKIA WARD KABAALE KADINYA KAFUNDA PARISH KAGAA KAGOBE KAIHURA KAKERE KAKINDO KALAKI KALOKWAMERI KAMENU KAMUDA KANYALAM KAPUJAN KASABA KASEGA KASENYI KATAMBALE KATARA WARD KAYEERA KIBIRA KIBOGA TOWN WARD KIDILANI KIGOYERA KIGUNDU KIHUMIRO KIJUMA KIKODA KINOGERO PARISH KIRONGO WARD KIRULUMBA WARD KISOJO KITONGOLE KITONYA KIVUJE KOKORIO KORITOK KORYAMO KOTHIKE KUNGU KYABAGONZA KYABARANGA KYAKATWIRE KYAMITARA KYAMUGENYI KYAMUTASA KYANYABONGO WARD KYAYIMBA KYONGERA LOBODEGI LOBUNEIT LOKAALA LOPUTUK LOTIRIR MABAALE MAGORO MAJENGO MIRAMBI MITOMA MOGOTH MORUANGIBUIN MUKALE MUKUNYU MWARO WARD MYERI PARISH NABOLITH NADUNGET NAITAKWAE NAKADELI NAKOBEKOBE NAMRWODO WARD NAMTHIN WARD NATOPOJO NEBBI HILL WARD NSINDE NTOMA NYACARA WARD NYAIBANDA NYAKAGEI NYAKISI PARISH NYAMABUGA OGWIL OGWOLO OLAGO OLOLANGO OLYEJO OMID OMINYA OMWIBALE ONGEMA ONGICIA ONGOCENG OPETA ORIMAI OWEKO OWINY PACEGO PACHAKA PADOLO PAJUR PAKIA PALATAU PAMINYA LOWER PAMINYA UPPER PAMITU PAMORA UPPER PAROKETO PAYERA POKWERO PUNUATAR PUPU PUVUNGU CENTRAL PUVUNGU WEST RAMOGI RUBANGO RUHOKO RUPA RWAITENGYA RWAMUKOORA SWAGERE TAROGALI TEBOKE TEI-ORO THATHA WARD TOKORA TOROMA USUK VURR Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse 3980 1.535 53.398 17.601 7.91 Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse 3980 1.389 42.718 17.509 7.779 Village Village Village Village Village 3980 1 377 187.178 109.613 serial number serial number serial number serial number serial number 21257 1 4194 2091.21 1204.802 household id household id household id household id household id 21257 10310301020014 41511408020164 30720383179470.8 7408626485515.65 member id member id member id member id member id 21257 1 22 4.007 2.635 hh1 q2:age of respondent hh1 q2:age of respondent hh1 q2:age of respondent hh1 q2:age of respondent hh1 q2:age of respondent 21257 98 23.614 22.186 how was date of birth recorded? how was date of birth recorded? how was date of birth recorded? how was date of birth recorded? how was date of birth recorded? 21256 1 1 national id / passport 2 birth certificate 3 voter’s card 4 immunisation card 5 baptism card 6 event calendar 7 self-reported 8 97 others 98 dk/na Sysmiss hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? 844 AUNT AUNT RECALL AUNTY RECALLED BEING TOLD BY THE HUSBAND BIRTH REGISTER BOOK BOOK RECORD BOOK RECORD KEPT BOOKS RECORDS BROTHER BROTHER RECALLED BROTHER RECODED CANT REMEMBER CARETAKER CERTIFICATE OF REGISTRATION CHAIRMAN CHILD HEALTH CARD CODE GOT FROM HOUSEHOLD REGIS DAD DAUGHTER DAUGHTER IN-LAW TO THE HHOLD DAUGHTER IN-LAW TO THE HHOLD DAUGHTER INLAW DAUGHTER REMEMBERED DRIVING PERMIT FAMILY BOOK FAMILY GRACE FAMILY RECORD BOOK FAMILY RECORDS FAMILY REG FAMILY REGISTER FAMILY REGISTER BOOK FATHER FATHER RECAL FATHER RECALE FATHER RECALL FATHER RECALLED FATHER RECORDS FATHERRECAL FRIEND RECALLED G.MUM GRAND GRAND MOM GRAND MOTHER GRAND MOTHER RECALL GRAND MOTHER RECALLED GRAND MOTHER REMEMBERED GRAND MUM GRANDCHILD RECALLED GRANDFATHER GRANDMOTHER GRANDMOTHER CALL GRANDMOTHER RECALLED GRANDMOTHER REPORTED GRANDMUM GRANDY GUARDIAN RECALLED HE WROTE ALL THE CHILDRENS BI HEALTH CARD HIDDEN REPORT HOME BIRTH REGISTER HOME BORTH REGISTER HOME RECORD HOME REGISTER HOSPITAL BOOK RECORDS HOUSEHOLD REGISTER WAS USED HUSBAND RECALLED IDENTITY CARD IMMUNISATION BOOK LC RECORDS LCI ROSTER MARRIAGE CARD MEDICAL FORM MOTHER MOTHER RECAL MOTHER RECALL MOTHER RECALLED MOTHERS RECALL MOTHER`S RECALL MRM MRM CARD MUM NEIGHBOR RECALLED NRM NRM CARD NRM MEMBERSHIP CARD NRM REGOSTER NRN CARD OCEN AND OPIO ARE TWINS OTHER RECALL PARENT/ BROTHER PARTY CARD PARTY ID REAL WIFE RECAL RECAL WIFE RECALL RECALL AUNT RECALL BROTHER RECALL BY GRANDMOTHER RECALL FATHER RECALL GRANDMOTHER RECALL MOTHER RECALL SON RECALL TRADITIONAL BIRTH ATTE RECALLED RECALLED BY GRANDMOTHER RECALLED BY THE GRANDMOTHER M RECALLED BY THE MOTHER RECAll RECORD BOOK RECORDED DATA RECORDS REGISTER REPORTED BY GRANDFATHER ROCALL SISTER SOME ONE RECALL SOMEBODY RESPONDED SON SON RECALL SON RECALLED SPOUSE UNCLE VILAGE HOUSEHOLD REGISTER VILLAGE HOUSE HOLD REGISTER VILLAGE HOUSEHOLD REGISTER VORTERS REPORT VOTERS RECIEPT WIFE WIFE RECALL WIFE RECALLED WRITTEN WROTE ALL HIS CHILDRENS BIRTH hh1 q5:gender hh1 q5:gender hh1 q5:gender hh1 q5:gender hh1 q5:gender 21257 1 male 2 female 98 dk/na hh1 q6:what is [name]’s relation to the head of house? hh1 q6:what is [name]’s relation to the head of house? hh1 q6:what is [name]’s relation to the head of house? hh1 q6:what is [name]’s relation to the head of house? hh1 q6:what is [name]’s relation to the head of house? 21257 1 head 2 spouse 3 son/daughter 4 grand child 5 father/mother 6 brother/sister 7 nephew/niece 8 son/daughter-in-law 9 brother/sister-in-law 10 father/mother-in-law 11 grand father/ mother 12 uncle/ aunt 13 servant and their relatives 77 other 97 others 98 dk/na hh1 q7:what is [name]’s current marital status? hh1 q7:what is [name]’s current marital status? hh1 q7:what is [name]’s current marital status? hh1 q7:what is [name]’s current marital status? hh1 q7:what is [name]’s current marital status? 21257 1 married monogamous 2 married polygamous 3 widow / widower 4 divorced / separated 5 never married 98 hh1_q8:what is the id code of [name]’s spouse? hh1_q8:what is the id code of [name]’s spouse? hh1_q8:what is the id code of [name]’s spouse? hh1_q8:what is the id code of [name]’s spouse? hh1_q8:what is the id code of [name]’s spouse? 4806 16451 1 99 12.991 31.082 hh1_q9:is [name]’s father still alive? hh1_q9:is [name]’s father still alive? hh1_q9:is [name]’s father still alive? hh1_q9:is [name]’s father still alive? hh1_q9:is [name]’s father still alive? 12031 9226 1 yes 2 no 98 don't know Sysmiss hh1_q10:what is the id code of [name]’s father? hh1_q10:what is the id code of [name]’s father? hh1_q10:what is the id code of [name]’s father? hh1_q10:what is the id code of [name]’s father? hh1_q10:what is the id code of [name]’s father? 9809 11448 1 2 3 4 5 6 7 8 9 10 12 13 98 99 not in the roster Sysmiss hh1 q11:what is the highest level of education completed by [name]’s father? hh1 q11:what is the highest level of education completed by [name]’s father? hh1 q11:what is the highest level of education completed by [name]’s father? hh1 q11:what is the highest level of education completed by [name]’s father? hh1 q11:what is the highest level of education completed by [name]’s father? 11245 10012 1 no education 2 p1 3 p2 4 p3 5 p4 6 p5 7 p6 8 p7 9 s1 10 s2 11 s3 12 s4 13 s5 14 s6 15 post sec. training/diploma 16 undergraduate degree 17 postgraduate degree 18 post primary vocational training 97 don’t know 98 Sysmiss hh1_q12 is [name]’s mother still alive? hh1_q12 is [name]’s mother still alive? hh1_q12 is [name]’s mother still alive? hh1_q12 is [name]’s mother still alive? hh1_q12 is [name]’s mother still alive? 12031 9226 1 yes 2 no 98 don't know Sysmiss hh1_q13: what is the id code of [name]’s mother? hh1_q13: what is the id code of [name]’s mother? hh1_q13: what is the id code of [name]’s mother? hh1_q13: what is the id code of [name]’s mother? hh1_q13: what is the id code of [name]’s mother? 11178 10079 1 2 3 4 5 6 7 8 9 10 11 14 20 21 97 98 99 not in the roster Sysmiss hh1 q14:what is the highest level of education completed by [name]’s mother? hh1 q14:what is the highest level of education completed by [name]’s mother? hh1 q14:what is the highest level of education completed by [name]’s mother? hh1 q14:what is the highest level of education completed by [name]’s mother? hh1 q14:what is the highest level of education completed by [name]’s mother? 11704 9553 1 no education 2 p1 3 p2 4 p3 5 p4 6 p5 7 p6 8 p7 9 s1 10 s2 11 s3 12 s4 13 s5 14 s6 15 post sec. training/diploma 16 undergraduate degree 17 postgraduate degree 18 post primary vocational training 97 don’t know Sysmiss hh1 q15:did [name] sleep under a mosquito net last night? hh1 q15:did [name] sleep under a mosquito net last night? hh1 q15:did [name] sleep under a mosquito net last night? hh1 q15:did [name] sleep under a mosquito net last night? hh1 q15:did [name] sleep under a mosquito net last night? 21257 1 yes 2 no 97 others 98 don't know hh1 q16:is this net currently treated? hh1 q16:is this net currently treated? hh1 q16:is this net currently treated? hh1 q16:is this net currently treated? hh1 q16:is this net currently treated? 7844 13413 1 yes, permanet (long lasting net) 2 yes, net bought within last 12 months 3 yes, treated in the last 12 months 4 not treated 98 don’t know Sysmiss hh1 q17:does [name] have a blanket under which [name] can sleep when it gets co hh1 q17:does [name] have a blanket under which [name] can sleep when it gets co hh1 q17:does [name] have a blanket under which [name] can sleep when it gets co hh1 q17:does [name] have a blanket under which [name] can sleep when it gets co hh1 q17:does [name] have a blanket under which [name] can sleep when it gets co 21251 6 1 yes, own 2 yes, shared 3 no 98 dk/na Sysmiss hh1 q18: how many meals did [name] eat yesterday? hh1 q18: how many meals did [name] eat yesterday? hh1 q18: how many meals did [name] eat yesterday? hh1 q18: how many meals did [name] eat yesterday? hh1 q18: how many meals did [name] eat yesterday? 21257 99 4.772 16.673 hh1 q19: is [name] disable in any way? hh1 q19: is [name] disable in any way? hh1 q19: is [name] disable in any way? hh1 q19: is [name] disable in any way? hh1 q19: is [name] disable in any way? 21257 1 yes 2 no 98 dk/na hh1 q20: was [name] residing in this household 12 months ago? hh1 q20: was [name] residing in this household 12 months ago? hh1 q20: was [name] residing in this household 12 months ago? hh1 q20: was [name] residing in this household 12 months ago? hh1 q20: was [name] residing in this household 12 months ago? 21257 1 same household 2 new-born into this household 3 different household/ same community 4 different household/ different community 98 dk/na hh1 q21: why did [name] move from his hh1 q21: why did [name] move from his hh1 q21: why did [name] move from his hh1 q21: why did [name] move from his hh1 q21: why did [name] move from his 399 20858 1 for education 2 back from school/studies 3 for employment 4 transfer of head of household 5 previous household could not afford to keep him/her 6 death of parent/guardian 7 death of spouse 8 marriage 9 new household 10 retrenchment 11 retirement 12 decided to resettle 13 found new agricultural land 14 starting a non-agricultural business 15 refugee/asylum seeker 97 other 98 dk/na Sysmiss hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others 55 ABANDONED BY THEIR PARENTS ATTEND TO PATIENT BABY TO HOUSE HELP BROGHT HIM TO HELP CALLED TO LOOK AFTER THE HOME AS T CHANGE IN FAMILY CONFLICT DISASTER BURNT MY HOUSE DIVORCE DIVORCED DIVORCED FROM HUSBAND DOMESTIC VIOLENCE FAMILY BREAK UP FOLLOWED THE MOTHER FOLLOWED THE MOTHER WHO GOT MARRIE HER MOTHER WAS RETURNING TO SCHOOL HIS SECOND HOUSEHOLD JOIN PARENTS MIGRATED TO HELP THEIR CHILDREN MIGRATED TO HELP THEIR GRAND MOTHE MOVED WITH MOTHER MY HOUSE GOT BURNT NEW BORN PARENTS DIVORCED RETURN TO FAMILY SEPARATION TAKING CARE OF SICK GRANDMOTHER THE GRAND MOTHER SEND HER BACK TO TO HELP FATHER /VISITING TO HELP FATHER/VISITING TO HELP THE GRANDMOTHER TO TAKE CARE OF HER CHILDREN TREATING AND TAKING CARE OF MU MUM TREATMENT VISIT WENT VISITING hh2 q1:is [name] eligible? (5 years and older) hh2 q1:is [name] eligible? (5 years and older) hh2 q1:is [name] eligible? (5 years and older) hh2 q1:is [name] eligible? (5 years and older) hh2 q1:is [name] eligible? (5 years and older) 21257 1 yes 2 no 98 dk/na hh2 q2:can [name] read or write with understanding in any language? hh2 q2:can [name] read or write with understanding in any language? hh2 q2:can [name] read or write with understanding in any language? hh2 q2:can [name] read or write with understanding in any language? hh2 q2:can [name] read or write with understanding in any language? 18124 3133 1 unable to read and write 2 able to read only 3 able to read and write 4 uses braille 98 dk/na Sysmiss hh2 q3:has [name] ever attended any formal school? hh2 q3:has [name] ever attended any formal school? hh2 q3:has [name] ever attended any formal school? hh2 q3:has [name] ever attended any formal school? hh2 q3:has [name] ever attended any formal school? 18124 3133 1 never attended 2 attended school in the past 3 currently attending school 98 dk/na Sysmiss hh2 q4:what grade is [name] currently attending? hh2 q4:what grade is [name] currently attending? hh2 q4:what grade is [name] currently attending? hh2 q4:what grade is [name] currently attending? hh2 q4:what grade is [name] currently attending? 7445 13812 1 no education 2 p1 3 p2 4 p3 5 p4 6 p5 7 p6 8 p7 9 s1 10 s2 11 s3 12 s4 13 s5 14 s6 15 post sec. training/diploma 16 undergraduate degree 17 postgraduate degree 18 post primary vocational training 98 dk/na Sysmiss hh2 q5:what grade did [name] attend in the last academic year? hh2 q5:what grade did [name] attend in the last academic year? hh2 q5:what grade did [name] attend in the last academic year? hh2 q5:what grade did [name] attend in the last academic year? hh2 q5:what grade did [name] attend in the last academic year? 7445 13812 1 no education 2 p1 3 p2 4 p3 5 p4 6 p5 7 p6 8 p7 9 s1 10 s2 11 s3 12 s4 13 s5 14 s6 15 post sec. training/diploma 16 undergraduate degree 17 postgraduate degree 18 post primary vocational training 98 dk/na Sysmiss hh2 q6:who owns the school? hh2 q6:who owns the school? hh2 q6:who owns the school? hh2 q6:who owns the school? hh2 q6:who owns the school? 7445 13812 1 gov’t 2 private 3 religious /ngo 97 other report 98 dk/na Sysmiss hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? 7 COMMUNITY COMMUNITY COLLEGE KINGDOM PARENTS SCHOOL RESULTS WERE DETAINED hh2 q7:in the last 30 scheduled school days, how many days did [name] miss? hh2 q7:in the last 30 scheduled school days, how many days did [name] miss? hh2 q7:in the last 30 scheduled school days, how many days did [name] miss? hh2 q7:in the last 30 scheduled school days, how many days did [name] miss? hh2 q7:in the last 30 scheduled school days, how many days did [name] miss? 7306 13951 1 2 3 4 5 6 7 8 9 10 11 12 14 15 16 17 18 20 21 22 24 30 98 dk/na Sysmiss hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul 2246 19011 1 not able to afford 2 too far away 3 poor school quality 4 had to help at home 5 had to help with farm work 6 had to help with family business 7 sick child 8 education not useful 9 parents did not want 10 not willing to attend 11 too young 12 orphaned 13 displaced 14 disabled 15 insecurity 16 school not available 17 culturally unacceptable 97 other 98 dk/na Sysmiss hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul 241 BAD ROADS BAD WEATHER BOOKS STILL MISSING BOOKS WERE STILL MISSING BOUGHT SCHOOL UNIFORM BURIAL CHAMGE OF SCHOOL CHARTECHISM CHASED AWAY FROM SCHOOL CLOTHES WERE DIRTY CONFIRMATION DEATH DEATH AT HOME DEATH IN A RELATIVES HOME DEATH OF GRANDFATHER DEATH OF GRANDMOTHER DEATHE OF GRANDFATHER DIDN`T HAVE SCHOOL UNIFORM BECAUSE I HADN`T YET BOUGHT DINT HAVE A PEN DINT WASH DIRTY CLOTHES DIRTY UNIFORM DONT KNOW DURING CAMPAIGNS THEY FEARED THEY MAY BE ABDUCTE HER ESCAPED FROM HOME TO GO VISIT AUNIITIE FEES FINISHED EXAMS AND WAS WAITING FOR TIME TO PICK REPORT FOOD HUNGER GONE TO VISIT GRANDMOTHER HAD BURNT THE HSE HAD DIRTY UNIFORM HAD GONE TO IBUJE TO COLLECT CLOTHES HAD GONE TO SEE THE MOTHER HAD GONE TO VISIT HER MUM HAD NO BOOKS HAD NO SCHOOL FEES HAD NO SCHOOL UNIFORM HAD NOT PAID DEVELOPMEN FEE HAD NOT PAID DEVELOPMENT FEE HAD TO GO TO WORK TO GET MONAY FOR BOOKS HAD TO TAKE CARE OF ME AT THE HOSPITAL HE HAD NOT YET RETURNED FROM HOLIDAY HELP TO TAKE CARE OF THE CATTLE HIS UNIFORM WAS DIRTY HIS UNIFORM WAS STILL WET HUNGER HUNTING IS AWAY FROM HOME ITEMS NOT AVAILABLE LIKE BOOKS LACK OF BOOKS LACK OF BOOKS AND PENCILS LACK OF SCHOLASTIC MATERIAL LACK OF SCHOLATIC MATERIA LACK OF UNIFORM LOOKING FOR MONEY LOST A FAMILY LOST A RELATIVE LOST RELATIVE MENTAL PROBLEM NO BOOK NO BOOKS NO BOOKS AND PEN NO FOOD NO FOOD (HUNGER) NO SOAP TO WASH UNIFORM NO TEACHER NURSERY NO UNIFORM NO UNIFORM, NO FOOD NO UNIFORMS NO UNIFORN NOT AVAILABLE NOT WASHED THE UNIFORM PLE PRAYERS RAIN RAINFALL RAINFALL FELL THAT WE COULD NOT GO TO SCHOOL RANI REPORT SCHOLASTIC MATENALS SCHOOL CLOSED DUE TO FLOODS SCHOOL FEES SCHOOL HAS BEEN CLOSED UNTIL THE TOILET IS BUILD SCHOOL WAS CLOSED DUE TO POOR HYGIENE SELL RATE TO GET MONEY TO BUY BOOKS SHOOL FEES SICK SICK MOTHER SOME ITEMS LIKE BOOKS WERE NOT AVAILABLE TEACHER SICK TEACHERS NOT AVAILABLE TEACHERS NOT AVAILABLE ON FIRST DAYS OF TERM TO PICK SOME REQUIREMENTS TOO MUCH RAIN UNIFORM UNIFORM DIRITY UNIFORM DIRTY UNIFORM NOT DRY UNIFORM WAS DIRTY UNKNOWN UNWANTED UNIFORM VILLAGE HAD FLOODED AND ROUTES WERE IMPOSIBLE WAITING FOR SCHOOL FEES WANT FOR BURIAL WENT TO VISIT A RELATIVE hh2 q9:why has [name] not attended school? hh2 q9:why has [name] not attended school? hh2 q9:why has [name] not attended school? hh2 q9:why has [name] not attended school? hh2 q9:why has [name] not attended school? 5063 16194 1 not able to afford 2 too far away 3 poor school quality 4 had to help at home 5 had to help with farm work 6 had to help with family business 7 sick child 8 education not useful 9 parents did not want 10 not willing to attend 11 too young 12 orphaned 13 displaced 14 disabled 15 insecurity 16 school not available 17 culturally unacceptable 97 other 98 dk/na Sysmiss hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? 22 BABY SITTER CAN'T TELL CHILDREN IN NURSERY CULTURALLY UNACCEPTABLE DEATH OF SPONSOR DEATH OF THE FATHER DIDNT SEE THE IMPORTANCE OF EDUCA DISABLED DONT KNOW HAS EPILEPSY SO HE CAN'T ATTEND S HELP TAKE CARE OF THE TWINS AT HO MENTAL DISTURBENT NO REASON NO SCHOOLS PARENTS WERE DEAD PLANNING TO TAKE HIM NEXT YEAR REFUSED TO GO TOSCHOOL RESULTS WERE DETAINED SICKNESS, CALAMITY, IN THE FAMILY STILL YOUNG UNKNOWN hh2 q10:what was the highest grade that [name] completed? hh2 q10:what was the highest grade that [name] completed? hh2 q10:what was the highest grade that [name] completed? hh2 q10:what was the highest grade that [name] completed? hh2 q10:what was the highest grade that [name] completed? 5648 15609 1 no education 2 p1 3 p2 4 p3 5 p4 6 p5 7 p6 8 p7 9 s1 10 s2 11 s3 12 s4 13 s5 14 s6 15 post sec. training/diploma 16 undergraduate degree 17 postgraduate degree 18 post primary vocational training 98 dk/na Sysmiss hh2 q11:why did [name] leave school? hh2 q11:why did [name] leave school? hh2 q11:why did [name] leave school? hh2 q11:why did [name] leave school? hh2 q11:why did [name] leave school? 5646 15611 1 completed desired schooling 2 further schooling not available 3 not able to afford 4 too far away 5 had to help at home 6 had to help with farm work 7 death of sponsor 8 had to help with family business 9 poor school quality 10 parents did not want 11 not willing to further attend 12 poor academic progress 13 sickness/calamity in family 14 pregnancy 15 marriage 97 other 98 dk/na Sysmiss hh2 q11:why did [name] leave school?- other hh2 q11:why did [name] leave school?- other hh2 q11:why did [name] leave school?- other hh2 q11:why did [name] leave school?- other hh2 q11:why did [name] leave school?- other 107 BEWITCHED CHANGE IN HOUSEHOLD CHILD WANT TO GO TO BOARDING SCHOOL CULTURAL BELIEF THAT GIRLS SHOULDNT CULTURALLY NOT ALLOWED CULTURALLY UNACCEPTABLE CULTURALLY UNACCEPTED CULTURALLY UNACEPTABLE CULTURE DEATH OF PARENT DISABILITY DISABILITY OF THE FATHER DISABLED DISABLED LAME DISPLACEMENT DOESNT KNOW AND WIFE IS ABSENT DURI DOMESTIC VIOLENCE DON'T KNOW DONT KNOW DULL DULL IN CLASS EDUCATED GIRLS GET SPOILS EVIL SPIRIT FEES HAD A MENTAL HISTORY HOLIDAY I DNT SEE THE IMPORTANCE OF EDUCATI IGNORANCE IMPRISON- HE WAS ARRESTED FOR IMPRG INSECURITY INSECURITY IN THE AREA DISRUPTED HI INSECURITY MOVED FROM NORTHERN UGAN INSERGENCIES INSECURITY INSTABILITY JOIN ARMY LACK OF SCHOOL FEES LAZY CHILD MENTALLY DIFICULTY MIGRATION MIGRATION MADE HER FAIL TO CATCH UP MY FATHER MARRIED ANOTHER WIFE AND NEED TO FINISH NURSERY FIRST THEN J NO UNIFORM NOT WILLING TO ATTEND ORPHANED PEER GROUPS POOR PERFORMANCE AT PRIMARY LEVEL REBEL ACTIVITY REFUSED RESPONSIBILITIES SICKNESS THE FAMILY WAS RICH AND SAW NO NEED THERE WAS WAR IN TESO THEY CHASED AWAY LANGI FROM BUGANDA TOO YOUNG TRAVELLED WITH MOTHER FOR LONG UNKNOWN REASON WAITING FOR HER RESULTS WAITING FOR RESULT WANTS THE BRAIN HEAD TO RELAX BEFOR WAR WARS WARS IN CONGO WEAK IN LEARNING WIFE DOESNT KNOW WORK WORKING hh3 q1:during the past 30 days did [name] suffer from any illness or injury, th hh3 q1:during the past 30 days did [name] suffer from any illness or injury, th hh3 q1:during the past 30 days did [name] suffer from any illness or injury, th hh3 q1:during the past 30 days did [name] suffer from any illness or injury, th hh3 q1:during the past 30 days did [name] suffer from any illness or injury, th 21257 1 yes 2 no 98 dk/na hh3 q2:for how many days did [name] have to stop his/her usual activities due t hh3 q2:for how many days did [name] have to stop his/her usual activities due t hh3 q2:for how many days did [name] have to stop his/her usual activities due t hh3 q2:for how many days did [name] have to stop his/her usual activities due t hh3 q2:for how many days did [name] have to stop his/her usual activities due t 4490 16767 1 98 10.242 11.84 hh3 q3:was anyone consulted (e.g. a doctor, nurse, pharmacist or traditional he hh3 q3:was anyone consulted (e.g. a doctor, nurse, pharmacist or traditional he hh3 q3:was anyone consulted (e.g. a doctor, nurse, pharmacist or traditional he hh3 q3:was anyone consulted (e.g. a doctor, nurse, pharmacist or traditional he hh3 q3:was anyone consulted (e.g. a doctor, nurse, pharmacist or traditional he 4490 16767 1 yes 2 no 98 dk/na Sysmiss hh3 q4:why was no one consulted for the major illness or injury? hh3 q4:why was no one consulted for the major illness or injury? hh3 q4:why was no one consulted for the major illness or injury? hh3 q4:why was no one consulted for the major illness or injury? hh3 q4:why was no one consulted for the major illness or injury? 1073 20184 1 illness mild 2 treated illness at home 3 facility too far 4 no money for consultation 5 too dangerous to go 6 available facilities are costly 7 no qualified staff present 8 staff attitude not good 9 too busy / long waiting time 10 facility is inaccessible 11 facility is closed 12 facility is destroyed 13 drugs not available 97 other 98 dk/na Sysmiss hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? 26 GAVE FIRST AID FOR NOSE BLEEDING GIVEN DRUGS HAS TRIED BEFORE AND DOES NOT GET CHANGE JUST GIVEN BIRTH SO SHE COULD NOT TAKE THEM TO HOSPITAL MOTHER HAD TRAVELLED NO ENERGY TO MOVE NO FACILITY TO USE TO GO TO HOSPITAL SINCE CANT USE BICYCLE NO MEANS TO GET THERE NO ONE COULD TAKE HER NO ONE TO TAKE ME NO ONE TO TAKE ME TO THE HOSPITAL NO ONE TO TAKE ME TO THE HOSPITALS NO ONE TO TAKE THEM NO ONE WOULD LEAD HIM TO THE FACILITY BECAUSE HE IS BLIND NO STRENGH TO RIDE A BICYCLE TO TAKE ME THERE NO STRENTH TO GO TO THE HOSPITAL NO TRANSPORT NONE CAN TAKE TO HOSPITAL PARENT LAZY TO TAKE CHILD TO HOSPITAL WAS TOO SICK AND COULD NOT SIT ON THE BICYCE hh3 q5:where did [name] go for the first consultation during the past 30 days? hh3 q5:where did [name] go for the first consultation during the past 30 days? hh3 q5:where did [name] go for the first consultation during the past 30 days? hh3 q5:where did [name] go for the first consultation during the past 30 days? hh3 q5:where did [name] go for the first consultation during the past 30 days? 3342 17915 1 neighbour/friend 2 community health worker 3 homapak drug distributor 4 ordinary shop 5 drug shop/pharmacy 6 private clinic 7 private hospital 8 health unit government 9 health unit ngo 10 hospital government 11 hospital ngo 12 traditional 13 = school nurse 97 other 98 dk/na Sysmiss hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - 27 BROKE THE LEG DISPENSARY FATHER GNLD DISTRIBUTOR LACOR MISSION HOSPITAL LOCAL HERBS MISSION MISSION HOSPITAL MISSION MENGO MISSIONARY MISSIONARY HOSPITAL RELIGIOUS CHURCH LEADER hh3 q6a:how far was this place where consultation was sought - kms? hh3 q6a:how far was this place where consultation was sought - kms? hh3 q6a:how far was this place where consultation was sought - kms? hh3 q6a:how far was this place where consultation was sought - kms? hh3 q6a:how far was this place where consultation was sought - kms? 3319 17938 1 1.25 1.5 1.6 2 2.12 2.4 2.5 3 3.1 3.2 3.4 3.5 3.6 3.75 4 4.2 4.3 4.5 4.8 5 5.8 6 6.2 6.4 7 7.2 7.5 8 8.5 9 9.4 9.6 10 10.8 11 11.2 12 12.5 12.6 12.8 13 14 14.4 14.5 15 16 16.2 17 17.6 18 19 19.1 19.2 19.5 20 21 22 22.4 23 24 25 25.6 26 27 27.2 28 28.8 30 30.4 31 32 35 35.2 36 37 38.2 38.4 40 41.6 44 44.8 45 46.4 47 48 50 54 55 56 56.8 57.6 58 60 60.8 64 66.5 69 70 71 72 74 79 80 85 90 92 94 98 100 110 120 123.2 138 157 175 200 255 300 320 327 400 410 480 515 998 dk/na Sysmiss hh3 q6b:how far was this place where consultation was sought - time(minutes)? hh3 q6b:how far was this place where consultation was sought - time(minutes)? hh3 q6b:how far was this place where consultation was sought - time(minutes)? hh3 q6b:how far was this place where consultation was sought - time(minutes)? hh3 q6b:how far was this place where consultation was sought - time(minutes)? 3319 17938 1 2 3 4 5 6 7 8 10 12 15 19 20 25 28 30 35 36 37 40 45 46 50 60 65 70 75 80 90 96 100 120 130 140 150 160 170 180 190 200 210 220 240 250 260 280 300 320 360 390 420 480 540 580 600 605 660 720 740 998 dk/na Sysmiss hh3 q7:what was the cost of this consultation, including any medicine prescribe hh3 q7:what was the cost of this consultation, including any medicine prescribe hh3 q7:what was the cost of this consultation, including any medicine prescribe hh3 q7:what was the cost of this consultation, including any medicine prescribe hh3 q7:what was the cost of this consultation, including any medicine prescribe 3319 17938 9999999998 1156978527.708 3199098956.905 hh3 q8:what was the cost of this consultation, including any medicine prescribe hh3 q8:what was the cost of this consultation, including any medicine prescribe hh3 q8:what was the cost of this consultation, including any medicine prescribe hh3 q8:what was the cost of this consultation, including any medicine prescribe hh3 q8:what was the cost of this consultation, including any medicine prescribe 3319 17938 9999999998 376633155.588 1904057360.047 hh4_q1:is [name] eligible? (5 years and older) hh4_q1:is [name] eligible? (5 years and older) hh4_q1:is [name] eligible? (5 years and older) hh4_q1:is [name] eligible? (5 years and older) hh4_q1:is [name] eligible? (5 years and older) 21257 1 yes 2 no 97 others 98 dk/na hh4_q2:during the last 7 days has [name] worked for payment in cash/in-kind out hh4_q2:during the last 7 days has [name] worked for payment in cash/in-kind out hh4_q2:during the last 7 days has [name] worked for payment in cash/in-kind out hh4_q2:during the last 7 days has [name] worked for payment in cash/in-kind out hh4_q2:during the last 7 days has [name] worked for payment in cash/in-kind out 18125 3132 1 yes 2 no 98 don't know Sysmiss hh4_q3:during the past 7 days has [name] worked on household owned land or with hh4_q3:during the past 7 days has [name] worked on household owned land or with hh4_q3:during the past 7 days has [name] worked on household owned land or with hh4_q3:during the past 7 days has [name] worked on household owned land or with hh4_q3:during the past 7 days has [name] worked on household owned land or with 18125 3132 1 yes 2 no 98 don't know Sysmiss hh4_q4:during the past 7 days has [name] worked in his/her own business or busi hh4_q4:during the past 7 days has [name] worked in his/her own business or busi hh4_q4:during the past 7 days has [name] worked in his/her own business or busi hh4_q4:during the past 7 days has [name] worked in his/her own business or busi hh4_q4:during the past 7 days has [name] worked in his/her own business or busi 18125 3132 1 yes 2 no 98 don't know Sysmiss hh4_q5:even if [name] did not work in the last 7 days for some reason, did [nam hh4_q5:even if [name] did not work in the last 7 days for some reason, did [nam hh4_q5:even if [name] did not work in the last 7 days for some reason, did [nam hh4_q5:even if [name] did not work in the last 7 days for some reason, did [nam hh4_q5:even if [name] did not work in the last 7 days for some reason, did [nam 7488 13769 1 yes 2 no 98 dk/na Sysmiss hh4_q6:has [name] looked for and/or available for work in the last 7 days? hh4_q6:has [name] looked for and/or available for work in the last 7 days? hh4_q6:has [name] looked for and/or available for work in the last 7 days? hh4_q6:has [name] looked for and/or available for work in the last 7 days? hh4_q6:has [name] looked for and/or available for work in the last 7 days? 7122 14135 1 yes 2 no Sysmiss hh4_q7:what is the main reason that [name] did not look for a job in the last 7 hh4_q7:what is the main reason that [name] did not look for a job in the last 7 hh4_q7:what is the main reason that [name] did not look for a job in the last 7 hh4_q7:what is the main reason that [name] did not look for a job in the last 7 hh4_q7:what is the main reason that [name] did not look for a job in the last 7 7337 13920 1 student 2 household duties 3 too young 4 too old/retired 5 disabled 6 sick 7 waiting for a reply from employer 8 waiting for a recall from employer 9 waiting for busy season 97 other Sysmiss hh4_q8a1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8a1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8a1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8a1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8a1:during the last 7 days, how many hours did [name] work on each day - d 10188 11069 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8a2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8a2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8a2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8a2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8a2:during the last 7 days, how many hours did [name] work on each day - h 10188 11069 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 24 98 dk/na Sysmiss hh4_q8b1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8b1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8b1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8b1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8b1:during the last 7 days, how many hours did [name] work on each day - d 10188 11069 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8b2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8b2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8b2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8b2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8b2:during the last 7 days, how many hours did [name] work on each day - h 10188 11069 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 98 dk/na Sysmiss hh4_q8c1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8c1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8c1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8c1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8c1:during the last 7 days, how many hours did [name] work on each day - d 10188 11069 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8c2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8c2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8c2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8c2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8c2:during the last 7 days, how many hours did [name] work on each day - h 10188 11069 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 98 dk/na Sysmiss hh4_q8d1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8d1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8d1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8d1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8d1:during the last 7 days, how many hours did [name] work on each day - d 10188 11069 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8d2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8d2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8d2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8d2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8d2:during the last 7 days, how many hours did [name] work on each day - h 10188 11069 1 2 3 4 5 6 7 8 9 10 11 12 13 14 17 18 98 dk/na Sysmiss hh4_q8e1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8e1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8e1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8e1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8e1:during the last 7 days, how many hours did [name] work on each day - d 10188 11069 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8e2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8e2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8e2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8e2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8e2:during the last 7 days, how many hours did [name] work on each day - h 10188 11069 1 2 3 4 5 6 7 8 9 10 11 12 13 14 16 17 98 dk/na Sysmiss hh4_q8f1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8f1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8f1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8f1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8f1:during the last 7 days, how many hours did [name] work on each day - d 10187 11070 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8f2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8f2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8f2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8f2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8f2:during the last 7 days, how many hours did [name] work on each day - h 10188 11069 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 98 dk/na Sysmiss hh4_q8g1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8g1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8g1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8g1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8g1:during the last 7 days, how many hours did [name] work on each day - d 10188 11069 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8g2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8g2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8g2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8g2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8g2:during the last 7 days, how many hours did [name] work on each day - h 10188 11069 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 24 98 dk/na Sysmiss hh4 q9:what was [name]’s main employment status during the last 7 days? hh4 q9:what was [name]’s main employment status during the last 7 days? hh4 q9:what was [name]’s main employment status during the last 7 days? hh4 q9:what was [name]’s main employment status during the last 7 days? hh4 q9:what was [name]’s main employment status during the last 7 days? 10188 11069 1 employer 2 own account worker 3 unpaid family worker 4 working on home farm 5 gov’t permanent 6 gov’t temporary 7 private permanent 8 private temporary/casual 9 student 98 Sysmiss hh4 q10:what was the nature of [name]’s work (for main employment status) tha hh4 q10:what was the nature of [name]’s work (for main employment status) tha hh4 q10:what was the nature of [name]’s work (for main employment status) tha hh4 q10:what was the nature of [name]’s work (for main employment status) tha hh4 q10:what was the nature of [name]’s work (for main employment status) tha 7604 13653 1 armed forces 11 legislators and senior officials 12 corporate managers 13 general managers skilled agricultural and fishery workers 21 physical, mathematical and engineering science professionals 22 life science and health professionals 23 teaching professionals 24 other professionals craft and related trade workers 31 physical and engineering science associate professionals 32 life science and health associate professionals 33 teaching associate professionals 34 other associate professionals plant and machine operators and assemblers 41 office clerks 42 customer service clerks elementary occupations 51 personal and protective service workers 52 models, sales persons and demonstrators armed forces 61 market oriented skilled agricultural and fishery workers 62 subsistence agricultural and fishery workers 71 extraction and building trade workers 72 metal, machinery and related trades workers 73 precision, handicraft, printing and related trades workers 74 other craft and related trades workers 81 stationary plant and related operators 82 machine operators and assemblers 83 drivers and mobile plant operators 91 sales and services elementary occupations 92 agricultural, fishery and related labourers 93 labourers in mining, construction, manufacturing and transport 97 others 98 dk/na Sysmiss hh4 q10:what was the nature of [name]’s work (for main employment status) that hh4 q11:how many months did [name] work at this main activity during the last 1 hh4 q11:how many months did [name] work at this main activity during the last 1 hh4 q11:how many months did [name] work at this main activity during the last 1 hh4 q11:how many months did [name] work at this main activity during the last 1 hh4 q11:how many months did [name] work at this main activity during the last 1 7725 13532 98 11.871 17.565 hh4 q12:in addition to the main occupation, did [name] also work in any subsidi hh4 q12:in addition to the main occupation, did [name] also work in any subsidi hh4 q12:in addition to the main occupation, did [name] also work in any subsidi hh4 q12:in addition to the main occupation, did [name] also work in any subsidi hh4 q12:in addition to the main occupation, did [name] also work in any subsidi 10188 11069 1 yes 2 no 98 dk/n/a Sysmiss hh4 q13:what was the nature of [name]’s subsidiary occupation during the last hh4 q13:what was the nature of [name]’s subsidiary occupation during the last hh4 q13:what was the nature of [name]’s subsidiary occupation during the last hh4 q13:what was the nature of [name]’s subsidiary occupation during the last hh4 q13:what was the nature of [name]’s subsidiary occupation during the last 3175 18082 1 armed forces 11 legislators and senior officials 12 corporate managers 13 general managers skilled agricultural and fishery workers 21 physical, mathematical and engineering science professionals 22 life science and health professionals 23 teaching professionals 24 other professionals craft and related trade workers 31 physical and engineering science associate professionals 32 life science and health associate professionals 33 teaching associate professionals 34 other associate professionals plant and machine operators and assemblers 41 office clerks 42 customer service clerks elementary occupations 51 personal and protective service workers 52 models, sales persons and demonstrators armed forces 61 market oriented skilled agricultural and fishery workers 62 subsistence agricultural and fishery workers 71 extraction and building trade workers 72 metal, machinery and related trades workers 73 precision, handicraft, printing and related trades workers 74 other craft and related trades workers 81 stationary plant and related operators 82 machine operators and assemblers 83 drivers and mobile plant operators 91 sales and services elementary occupations 92 agricultural, fishery and related labourers 93 labourers in mining, construction, manufacturing and transport 97 others 98 dk/na Sysmiss hh4 q13:what was the nature of [name]’s subsidiary occupation during the last 7 hh4 q14a:what were the main and secondary employment statuses of [name] during t hh4 q14a:what were the main and secondary employment statuses of [name] during t hh4 q14a:what were the main and secondary employment statuses of [name] during t hh4 q14a:what were the main and secondary employment statuses of [name] during t hh4 q14a:what were the main and secondary employment statuses of [name] during t 17815 3442 1 employer 2 own account worker 3 unpaid family worker 4 working on home farm 5 gov’t permanent 6 gov’t temporary/casual 7 private permanent 8 private temporary/casual 9 full time student 10 pensioner/retired 11 children not at school 12 none 97 other 98 Sysmiss hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during 13 BABY SITTER BROKER BUSINESS HOUSEHOLD DUTIES HOUSEWIFE INSENE JUST DELIVERED NOT KNOWN PRISON SERVANT SICK hh4 q14b:what were the main and secondary employment statuses of [name] during t hh4 q14b:what were the main and secondary employment statuses of [name] during t hh4 q14b:what were the main and secondary employment statuses of [name] during t hh4 q14b:what were the main and secondary employment statuses of [name] during t hh4 q14b:what were the main and secondary employment statuses of [name] during t 17813 3444 1 employer 2 own account worker 3 unpaid family worker 4 working on home farm 5 gov’t permanent 6 gov’t temporary/casual 7 private permanent 8 private temporary/casual 9 full time student 10 pensioner/retired 11 children not at school 12 none 97 other 98 Sysmiss hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during 43 . DIG FOR MONEY FISHING FISHING- SMALL SCALE MAKING LOCAL BREWS MINING GOLD ORANGE GARDEN PASTOR REVERED SALE OF CHARCOAL SELING LABOUR SELLING FISH SELLING LABOR SELLING LABOUR TRADITIONAL BIRTH ATTENDANT hh4 q15:is [name]’s aged 17 years or below or 50 years and above? hh4 q15:is [name]’s aged 17 years or below or 50 years and above? hh4 q15:is [name]’s aged 17 years or below or 50 years and above? hh4 q15:is [name]’s aged 17 years or below or 50 years and above? hh4 q15:is [name]’s aged 17 years or below or 50 years and above? 21257 1 yes 2 no 98 dk/na hh4 q16:during the past 7 days how many hours did [name] spend fetching water f hh4 q16:during the past 7 days how many hours did [name] spend fetching water f hh4 q16:during the past 7 days how many hours did [name] spend fetching water f hh4 q16:during the past 7 days how many hours did [name] spend fetching water f hh4 q16:during the past 7 days how many hours did [name] spend fetching water f 12427 8830 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 20 21 22 23 24 25 26 27 28 35 40 42 49 56 60 62 63 66 70 998 dk/na Sysmiss hh4 q17:during the past 7 days how many hours did [name] spend fetching firewoo hh4 q17:during the past 7 days how many hours did [name] spend fetching firewoo hh4 q17:during the past 7 days how many hours did [name] spend fetching firewoo hh4 q17:during the past 7 days how many hours did [name] spend fetching firewoo hh4 q17:during the past 7 days how many hours did [name] spend fetching firewoo 12431 8826 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 20 21 22 24 28 30 35 36 40 42 45 56 998 dk/na Sysmiss hh4 q18:during the past 7 days how many hours did [name] spend cooking for the hh4 q18:during the past 7 days how many hours did [name] spend cooking for the hh4 q18:during the past 7 days how many hours did [name] spend cooking for the hh4 q18:during the past 7 days how many hours did [name] spend cooking for the hh4 q18:during the past 7 days how many hours did [name] spend cooking for the 12432 8825 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 20 21 22 23 24 25 26 27 28 29 30 31 32 35 37 40 42 46 49 59 63 70 998 dk/na Sysmiss hh4 q19:during the past 7 days how many hours did [name] spend caring for child hh4 q19:during the past 7 days how many hours did [name] spend caring for child hh4 q19:during the past 7 days how many hours did [name] spend caring for child hh4 q19:during the past 7 days how many hours did [name] spend caring for child hh4 q19:during the past 7 days how many hours did [name] spend caring for child 12431 8826 1 2 3 4 5 6 7 8 9 10 11 12 14 15 16 18 20 21 22 24 25 28 30 35 36 37 38 40 42 48 49 56 63 70 84 91 998 dk/na Sysmiss hh4 q20:during the past 7 days how many hours did [name] spend doing other chor hh4 q20:during the past 7 days how many hours did [name] spend doing other chor hh4 q20:during the past 7 days how many hours did [name] spend doing other chor hh4 q20:during the past 7 days how many hours did [name] spend doing other chor hh4 q20:during the past 7 days how many hours did [name] spend doing other chor 12432 8825 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 19 20 21 24 25 28 30 35 36 40 42 44 49 56 998 dk/na Sysmiss hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during 6 21251 1 baby sitter 2 broker 3 household duties 4 housewife 5 sick Sysmiss hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during 15 21242 1 dig for money 2 fishing 3 fishing- small scale 4 mining gold 5 orange garden 6 pastor 7 selling labor 8 selling labour 9 traditional birth attendant Sysmiss hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others 24 21233 1 abandoned by their parents 2 baby to house help 3 change in family 4 divorce 5 divorced from husband 6 family break up 7 join parents 8 moved with mother 9 new born 10 parents divorced 11 return to family 12 separation 13 to help father /visiting 14 to help father/visiting 15 treating and taking care of mu mum 16 treatment 17 visit Sysmiss hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? 4 21253 1 community 2 parents school 3 results were detained Sysmiss hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul 122 21135 1 bad roads 2 books still missing 3 books were still missing 4 bought school uniform 5 burial 6 chamge of school 7 chartechism 8 chased away from school 9 clothes were dirty 10 death 11 death at home 12 death of grandmother 13 didn`t have school uniform because i hadn`t yet bought 14 dint wash 15 dirty clothes 16 dirty uniform 17 fees 18 finished exams and was waiting for time to pick report 19 gone to visit grandmother 20 had burnt the hse 21 had gone to see the mother 22 had no books 23 had no school uniform 24 his uniform was dirty 25 his uniform was still wet 26 hunger 27 is away from home 28 items not available like books 29 lack of books 30 lack of uniform 31 lost a family 32 lost a relative 33 lost relative 34 no books 35 no books and pen 36 no uniform 37 no uniforms 38 not available 39 not washed the uniform 40 prayers 41 rainfall 42 rainfall fell that we could not go to school 43 report 44 scholastic matenals 45 school fees 46 school was closed due to poor hygiene 47 sick 48 sick mother 49 some items like books were not available 50 teachers not available 51 too much rain 52 uniform 53 uniform dirity 54 uniform dirty 55 uniform was dirty 56 village had flooded and routes were imposible 57 waiting for school fees Sysmiss hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? 9 21248 1 baby sitter 2 can't tell 3 culturally unacceptable 4 death of the father 5 disabled 6 dont know 7 parents were dead 8 results were detained 9 sickness, calamity, in the family 10 still young Sysmiss hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? 11 21246 1 has tried before and does not get change 2 mother had travelled 3 no energy to move 4 no facility to use to go to hospital since cant use bicycle 5 no one to take me 6 no one to take them 7 no transport 8 was too sick and could not sit on the bicyce Sysmiss hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - 20 21237 1 broke the leg 2 dispensary 3 father 4 lacor mission hospital 5 local herbs 6 mission 7 mission hospital 8 mission mengo 9 missionary 10 missionary hospital 11 religious church leader Sysmiss hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? 844 20413 1 AUNT 2 AUNT RECALL 3 AUNTY RECALLED 4 BEING TOLD BY THE HUSBAND 5 BIRTH REGISTER 6 BOOK 7 BOOK RECORD 8 BOOK RECORD KEPT 9 BOOKS RECORDS 10 BROTHER 11 BROTHER RECALLED 12 BROTHER RECODED 13 CANT REMEMBER 14 CARETAKER 15 CERTIFICATE OF REGISTRATION 16 CHAIRMAN 17 CHILD HEALTH CARD 18 CODE GOT FROM HOUSEHOLD REGIS 19 DAD 20 DAUGHTER 21 DAUGHTER IN-LAW TO THE HHOLD 22 DAUGHTER IN-LAW TO THE HHOLD 23 DAUGHTER INLAW 24 DAUGHTER REMEMBERED 25 DRIVING PERMIT 26 FAMILY BOOK 27 FAMILY GRACE 28 FAMILY RECORD BOOK 29 FAMILY RECORDS 30 FAMILY REG 31 FAMILY REGISTER 32 FAMILY REGISTER BOOK 33 FATHER 34 FATHER RECAL 35 FATHER RECALE 36 FATHER RECALL 37 FATHER RECALLED 38 FATHER RECORDS 39 FATHERRECAL 40 FRIEND RECALLED 41 G.MUM 42 GRAND 43 GRAND MOM 44 GRAND MOTHER 45 GRAND MOTHER RECALL 46 GRAND MOTHER RECALLED 47 GRAND MOTHER REMEMBERED 48 GRAND MUM 49 GRANDCHILD RECALLED 50 GRANDFATHER 51 GRANDMOTHER 52 GRANDMOTHER CALL 53 GRANDMOTHER RECALLED 54 GRANDMOTHER REPORTED 55 GRANDMUM 56 GRANDY 57 GUARDIAN RECALLED 58 HE WROTE ALL THE CHILDRENS BI 59 HEALTH CARD 60 HIDDEN REPORT 61 HOME BIRTH REGISTER 62 HOME BORTH REGISTER 63 HOME RECORD 64 HOME REGISTER 65 HOSPITAL BOOK RECORDS 66 HOUSEHOLD REGISTER WAS USED 67 HUSBAND RECALLED 68 IDENTITY CARD 69 IMMUNISATION BOOK 70 LC RECORDS 71 LCI ROSTER 72 MARRIAGE CARD 73 MEDICAL FORM 74 MOTHER 75 MOTHER RECAL 76 MOTHER RECALL 77 MOTHER RECALLED 78 MOTHERS RECALL 79 MOTHER`S RECALL 80 MRM 81 MRM CARD 82 MUM 83 NEIGHBOR RECALLED 84 NRM 85 NRM CARD 86 NRM MEMBERSHIP CARD 87 NRM REGOSTER 88 NRN CARD 89 OCEN AND OPIO ARE TWINS 90 OTHER RECALL 91 PARENT/ BROTHER 92 PARTY CARD 93 PARTY ID 94 REAL WIFE 95 RECAL 96 RECAL WIFE 97 RECALL 98 RECALL AUNT 99 RECALL BROTHER 100 RECALL BY GRANDMOTHER 101 RECALL FATHER 102 RECALL GRANDMOTHER 103 RECALL MOTHER 104 RECALL SON 105 RECALL TRADITIONAL BIRTH ATTE 106 RECALLED 107 RECALLED BY GRANDMOTHER 108 RECALLED BY THE GRANDMOTHER M 109 RECALLED BY THE MOTHER 110 RECAll 111 RECORD BOOK 112 RECORDED DATA 113 RECORDS 114 REGISTER 115 REPORTED BY GRANDFATHER 116 ROCALL 117 SISTER 118 SOME ONE RECALL 119 SOMEBODY RESPONDED 120 SON 121 SON RECALL 122 SON RECALLED 123 SPOUSE 124 UNCLE 125 VILAGE HOUSEHOLD REGISTER 126 VILLAGE HOUSE HOLD REGISTER 127 VILLAGE HOUSEHOLD REGISTER 128 VORTERS REPORT 129 VOTERS RECIEPT 130 WIFE 131 WIFE RECALL 132 WIFE RECALLED 133 WRITTEN 134 WROTE ALL HIS CHILDRENS BIRTH Sysmiss date of interview - day date of interview - day date of interview - day date of interview - day date of interview - day 21203 54 1 31 15.023 9.074 date of interview - month date of interview - month date of interview - month date of interview - month date of interview - month 21150 107 8 9 10 11 Sysmiss date of interview - year date of interview - year date of interview - year date of interview - year date of interview - year 21257 2012 result of interview result of interview result of interview result of interview result of interview 21257 1 interviewed 2 interview incomplete 3 household not found 4 household members temporarily not at home 5 household refused 6 household moved permanently 97 others corrected age corrected age corrected age corrected age corrected age 9 21248 36 63 47.778 9.08 21257 1 21257 1 Proportion of 15-20 years old population who reached p7 Proportion of 15-20 years old population who reached p7 Proportion of 15-20 years old population who reached p7 Proportion of 15-20 years old population who reached p7 Proportion of 15-20 years old population who reached p7 2705 18552 1 Sysmiss 1479 19778 1 Sysmiss 1226 20031 1 Sysmiss proportion of individual ills or injured in the past 30 days proportion of individual ills or injured in the past 30 days proportion of individual ills or injured in the past 30 days proportion of individual ills or injured in the past 30 days proportion of individual ills or injured in the past 30 days 21050 207 1 Sysmiss Proportion of those ill or injured seeking formal healthcare Proportion of those ill or injured seeking formal healthcare Proportion of those ill or injured seeking formal healthcare Proportion of those ill or injured seeking formal healthcare Proportion of those ill or injured seeking formal healthcare 4416 16841 1 Sysmiss Total cost of consultation, including transcport and accomodation Total cost of consultation, including transcport and accomodation Total cost of consultation, including transcport and accomodation Total cost of consultation, including transcport and accomodation Total cost of consultation, including transcport and accomodation 3228 18029 620000 17713.067 43317.234 hh3_q5==neighbour/friend hh3_q5==neighbour/friend hh3_q5==neighbour/friend hh3_q5==neighbour/friend hh3_q5==neighbour/friend 3342 17915 1 Sysmiss hh3_q5==community health worker hh3_q5==community health worker hh3_q5==community health worker hh3_q5==community health worker hh3_q5==community health worker 3342 17915 1 Sysmiss hh3_q5==homapak drug distributor hh3_q5==homapak drug distributor hh3_q5==homapak drug distributor hh3_q5==homapak drug distributor hh3_q5==homapak drug distributor 3342 17915 1 Sysmiss hh3_q5==ordinary shop hh3_q5==ordinary shop hh3_q5==ordinary shop hh3_q5==ordinary shop hh3_q5==ordinary shop 3342 17915 1 Sysmiss hh3_q5==drug shop/pharmacy hh3_q5==drug shop/pharmacy hh3_q5==drug shop/pharmacy hh3_q5==drug shop/pharmacy hh3_q5==drug shop/pharmacy 3342 17915 1 Sysmiss hh3_q5==private clinic hh3_q5==private clinic hh3_q5==private clinic hh3_q5==private clinic hh3_q5==private clinic 3342 17915 1 Sysmiss hh3_q5==private hospital hh3_q5==private hospital hh3_q5==private hospital hh3_q5==private hospital hh3_q5==private hospital 3342 17915 1 Sysmiss hh3_q5==health unit government hh3_q5==health unit government hh3_q5==health unit government hh3_q5==health unit government hh3_q5==health unit government 3342 17915 1 Sysmiss hh3_q5==health unit ngo hh3_q5==health unit ngo hh3_q5==health unit ngo hh3_q5==health unit ngo hh3_q5==health unit ngo 3342 17915 1 Sysmiss hh3_q5==hospital government hh3_q5==hospital government hh3_q5==hospital government hh3_q5==hospital government hh3_q5==hospital government 3342 17915 1 Sysmiss hh3_q5==hospital ngo hh3_q5==hospital ngo hh3_q5==hospital ngo hh3_q5==hospital ngo hh3_q5==hospital ngo 3342 17915 1 Sysmiss hh3_q5==traditional hh3_q5==traditional hh3_q5==traditional hh3_q5==traditional hh3_q5==traditional 3342 17915 1 Sysmiss hh3_q5==other hh3_q5==other hh3_q5==other hh3_q5==other hh3_q5==other 3342 17915 1 Sysmiss hh3_q5==dk/na hh3_q5==dk/na hh3_q5==dk/na hh3_q5==dk/na hh3_q5==dk/na 3342 17915 1 Sysmiss distance of consultation sought in Km distance of consultation sought in Km distance of consultation sought in Km distance of consultation sought in Km distance of consultation sought in Km 3240 18017 515 7.202 22.439 distance of consultation sought in minutes distance of consultation sought in minutes distance of consultation sought in minutes distance of consultation sought in minutes distance of consultation sought in minutes 3278 17979 740 81.153 79.162 hh3_q4==illness mild hh3_q4==illness mild hh3_q4==illness mild hh3_q4==illness mild hh3_q4==illness mild 1073 20184 1 Sysmiss hh3_q4==treated illness at home hh3_q4==treated illness at home hh3_q4==treated illness at home hh3_q4==treated illness at home hh3_q4==treated illness at home 1073 20184 1 Sysmiss hh3_q4==facility too far hh3_q4==facility too far hh3_q4==facility too far hh3_q4==facility too far hh3_q4==facility too far 1073 20184 1 Sysmiss hh3_q4==no money for consultation hh3_q4==no money for consultation hh3_q4==no money for consultation hh3_q4==no money for consultation hh3_q4==no money for consultation 1073 20184 1 Sysmiss hh3_q4==available facilities are costly hh3_q4==available facilities are costly hh3_q4==available facilities are costly hh3_q4==available facilities are costly hh3_q4==available facilities are costly 1073 20184 1 Sysmiss hh3_q4==no qualified staff present hh3_q4==no qualified staff present hh3_q4==no qualified staff present hh3_q4==no qualified staff present hh3_q4==no qualified staff present 1073 20184 1 Sysmiss hh3_q4==staff attitude not good hh3_q4==staff attitude not good hh3_q4==staff attitude not good hh3_q4==staff attitude not good hh3_q4==staff attitude not good 1073 20184 1 Sysmiss hh3_q4==too busy / long waiting time hh3_q4==too busy / long waiting time hh3_q4==too busy / long waiting time hh3_q4==too busy / long waiting time hh3_q4==too busy / long waiting time 1073 20184 1 Sysmiss hh3_q4==facility is inaccessible hh3_q4==facility is inaccessible hh3_q4==facility is inaccessible hh3_q4==facility is inaccessible hh3_q4==facility is inaccessible 1073 20184 1 Sysmiss hh3_q4==facility is closed hh3_q4==facility is closed hh3_q4==facility is closed hh3_q4==facility is closed hh3_q4==facility is closed 1073 20184 1 Sysmiss hh3_q4==facility is destroyed hh3_q4==facility is destroyed hh3_q4==facility is destroyed hh3_q4==facility is destroyed hh3_q4==facility is destroyed 1073 20184 1 Sysmiss hh3_q4==drugs not available hh3_q4==drugs not available hh3_q4==drugs not available hh3_q4==drugs not available hh3_q4==drugs not available 1073 20184 1 Sysmiss hh3_q4==other hh3_q4==other hh3_q4==other hh3_q4==other hh3_q4==other 1073 20184 1 Sysmiss hh3_q4==dk/na hh3_q4==dk/na hh3_q4==dk/na hh3_q4==dk/na hh3_q4==dk/na 1073 20184 1 Sysmiss (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod 21257 SCG 1 VFSG actual treatment status actual treatment status actual treatment status actual treatment status actual treatment status 20936 321 Control 1 Treatment 2 Do not know SAGE Sysmiss baseline treatment group baseline treatment group baseline treatment group baseline treatment group baseline treatment group 21257 Control 1 Treatment Community ID Community ID Community ID Community ID Community ID 21257 1031030102 4151140802 3072037161.203 740862583.477 District District District District District 21257 APAC KABERAMAIDO KATAKWI KIBOGA KYENJOJO MOROTO NAKAPIRIPIRIT NEBBI County County County County County 21257 CHEKWII JONAM KABERAMAIDO KALAKI KIBOGA KWANIA MARUZI MATHENIKO MOROTO MUNICIPALITY MWENGE PADYERE PIAN TOROMA USUK Sub-County Sub-County Sub-County Sub-County Sub-County 21257 ABONGOMOLA ADUKU AKOKORO ALWA ANYARA APAC ATEGO BUGAAKI BUTIITI CHAWENTE CHEGERE ERUSSI IBUJE KABERAMAIDO TOWN COUNCIL KAKOMONGOLE KALAKI KAPEKE KAPUJAN KATOOKE TOWN COUNCIL KIBOGA TOWN COUNCIL KIGARAALE KISOJO KITOOKE KUCWINY KYARUSOZI KYENJOJO TOWN COUNCIL MAGORO NABILATUK NADUNGET NAMBEISO NDHEW NEBBI TOWN COUNCIL NYANTUNGO OCHERO OMODOI PAKWACH PAKWACH TOWN COUNCIL PANYANGO PANYIMUR RUPA SOUTH DIVISION TOROMA USUK Parish Parish Parish Parish Parish 21257 AAKUM ABALANG ABANY ABAR EAST ABAR WEST ABEDI ABINDU WARD ABOKO ABONGO ABULI ABWOKODIA ABWONG ACABA ACEGERETOLIM ACENLWORO ACHERER ACHUNGI ADEM ADOLO ADYEDA AGANGA AGONG AJAR AKALI AKERE AKETO AKOKORO AKURAO AKUYAM ALARO ALIDO ALIRA ALWOROCENG AMII- AMILO AMII-ABERIDWOGO AMOR WARD AMOR WEST AMORIGOGA AMUN AMUSIA ANGODINGODI ANWANGI ANYARA AORNGA APARISIA APIRE APOI APUUTON ASURET ATANA ATIGOLWOK ATIK ATONGTIDI ATOPI ATULE ATYAK AWILA AYABI AYAGO AYEOLYEC BAMUSUUTA WARD BARAHIIJA BARODILO BORO BUCUNI WARD BUNG BURARRO BUSANZA BUTARA BUTIITI BUZIBWEERA WARD BWENZI CAMPSWAHILI JUU CAMPSWAHILLICHIN CENTRAL WARD CHEGERE CHELEUKO ENJERU ETEKOBER FOREST WARD GANDA HAKATOMA HIMA ILEE ISANDARA JUKIA WARD KABAALE KADINYA KAFUNDA PARISH KAGAA KAGOBE KAIHURA KAKERE KAKINDO KALAKI KALOKWAMERI KAMENU KAMUDA KANYALAM KAPUJAN KASABA KASEGA KASENYI KATAMBALE KATARA WARD KAYEERA KIBIRA KIBOGA TOWN WARD KIDILANI KIGOYERA KIGUNDU KIHUMIRO KIJUMA KIKODA KINOGERO PARISH KIRONGO WARD KIRULUMBA WARD KISOJO KITONGOLE KITONYA KIVUJE KOKORIO KORITOK KORYAMO KOTHIKE KUNGU KYABAGONZA KYABARANGA KYAKATWIRE KYAMITARA KYAMUGENYI KYAMUTASA KYANYABONGO WARD KYAYIMBA KYONGERA LOBODEGI LOBUNEIT LOKAALA LOPUTUK LOTIRIR MABAALE MAGORO MAJENGO MIRAMBI MITOMA MOGOTH MORUANGIBUIN MUKALE MUKUNYU MWARO WARD MYERI PARISH NABOLITH NADUNGET NAITAKWAE NAKADELI NAKOBEKOBE NAMRWODO WARD NAMTHIN WARD NATOPOJO NEBBI HILL WARD NSINDE NTOMA NYACARA WARD NYAIBANDA NYAKAGEI NYAKISI PARISH NYAMABUGA OGWIL OGWOLO OLAGO OLOLANGO OLYEJO OMID OMINYA OMWIBALE ONGEMA ONGICIA ONGOCENG OPETA ORIMAI OWEKO OWINY PACEGO PACHAKA PADOLO PAJUR PAKIA PALATAU PAMINYA LOWER PAMINYA UPPER PAMITU PAMORA UPPER PAROKETO PAYERA POKWERO PUNUATAR PUPU PUVUNGU CENTRAL PUVUNGU WEST RAMOGI RUBANGO RUHOKO RUPA RWAITENGYA RWAMUKOORA SWAGERE TAROGALI TEBOKE TEI-ORO THATHA WARD TOKORA TOROMA USUK VURR Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse 21257 1.535 53.398 18.282 7.878 Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse 21257 1.389 42.718 18.198 7.759 Village Village Village Village Village 21257 1 377 186.847 109.789 household id household id household id household id household id 3980 10310301020014 41511408020164 30924912615850.7 7372639529324.38 mean per capita household costs for consultation, including transport and accomo mean per capita household costs for consultation, including transport and accomo mean per capita household costs for consultation, including transport and accomo mean per capita household costs for consultation, including transport and accomo mean per capita household costs for consultation, including transport and accomo 3980 225000 3162.568 11277.893 Serial Number Serial Number Serial Number Serial Number Serial Number 3902 78 1 3970 1972.401 1135.667 (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod 3980 SCG 1 VFSG actual treatment status actual treatment status actual treatment status actual treatment status actual treatment status 3902 78 Control 1 Treatment 2 Do not know SAGE Sysmiss baseline treatment group baseline treatment group baseline treatment group baseline treatment group baseline treatment group 3980 Control 1 Treatment Community ID Community ID Community ID Community ID Community ID 3980 1031030102 4151140802 3092489768.58 737263910.086 District District District District District 3980 APAC KABERAMAIDO KATAKWI KIBOGA KYENJOJO MOROTO NAKAPIRIPIRIT NEBBI County County County County County 3980 CHEKWII JONAM KABERAMAIDO KALAKI KIBOGA KWANIA MARUZI MATHENIKO MOROTO MUNICIPALITY MWENGE PADYERE PIAN TOROMA USUK Sub-County Sub-County Sub-County Sub-County Sub-County 3980 ABONGOMOLA ADUKU AKOKORO ALWA ANYARA APAC ATEGO BUGAAKI BUTIITI CHAWENTE CHEGERE ERUSSI IBUJE KABERAMAIDO TOWN COUNCIL KAKOMONGOLE KALAKI KAPEKE KAPUJAN KATOOKE TOWN COUNCIL KIBOGA TOWN COUNCIL KIGARAALE KISOJO KITOOKE KUCWINY KYARUSOZI KYENJOJO TOWN COUNCIL MAGORO NABILATUK NADUNGET NAMBEISO NDHEW NEBBI TOWN COUNCIL NYANTUNGO OCHERO OMODOI PAKWACH PAKWACH TOWN COUNCIL PANYANGO PANYIMUR RUPA SOUTH DIVISION TOROMA USUK Parish Parish Parish Parish Parish 3980 AAKUM ABALANG ABANY ABAR EAST ABAR WEST ABEDI ABINDU WARD ABOKO ABONGO ABULI ABWOKODIA ABWONG ACABA ACEGERETOLIM ACENLWORO ACHERER ACHUNGI ADEM ADOLO ADYEDA AGANGA AGONG AJAR AKALI AKERE AKETO AKOKORO AKURAO AKUYAM ALARO ALIDO ALIRA ALWOROCENG AMII- AMILO AMII-ABERIDWOGO AMOR WARD AMOR WEST AMORIGOGA AMUN AMUSIA ANGODINGODI ANWANGI ANYARA AORNGA APARISIA APIRE APOI APUUTON ASURET ATANA ATIGOLWOK ATIK ATONGTIDI ATOPI ATULE ATYAK AWILA AYABI AYAGO AYEOLYEC BAMUSUUTA WARD BARAHIIJA BARODILO BORO BUCUNI WARD BUNG BURARRO BUSANZA BUTARA BUTIITI BUZIBWEERA WARD BWENZI CAMPSWAHILI JUU CAMPSWAHILLICHIN CENTRAL WARD CHEGERE CHELEUKO ENJERU ETEKOBER FOREST WARD GANDA HAKATOMA HIMA ILEE ISANDARA JUKIA WARD KABAALE KADINYA KAFUNDA PARISH KAGAA KAGOBE KAIHURA KAKERE KAKINDO KALAKI KALOKWAMERI KAMENU KAMUDA KANYALAM KAPUJAN KASABA KASEGA KASENYI KATAMBALE KATARA WARD KAYEERA KIBIRA KIBOGA TOWN WARD KIDILANI KIGOYERA KIGUNDU KIHUMIRO KIJUMA KIKODA KINOGERO PARISH KIRONGO WARD KIRULUMBA WARD KISOJO KITONGOLE KITONYA KIVUJE KOKORIO KORITOK KORYAMO KOTHIKE KUNGU KYABAGONZA KYABARANGA KYAKATWIRE KYAMITARA KYAMUGENYI KYAMUTASA KYANYABONGO WARD KYAYIMBA KYONGERA LOBODEGI LOBUNEIT LOKAALA LOPUTUK LOTIRIR MABAALE MAGORO MAJENGO MIRAMBI MITOMA MOGOTH MORUANGIBUIN MUKALE MUKUNYU MWARO WARD MYERI PARISH NABOLITH NADUNGET NAITAKWAE NAKADELI NAKOBEKOBE NAMRWODO WARD NAMTHIN WARD NATOPOJO NEBBI HILL WARD NSINDE NTOMA NYACARA WARD NYAIBANDA NYAKAGEI NYAKISI PARISH NYAMABUGA OGWIL OGWOLO OLAGO OLOLANGO OLYEJO OMID OMINYA OMWIBALE ONGEMA ONGICIA ONGOCENG OPETA ORIMAI OWEKO OWINY PACEGO PACHAKA PADOLO PAJUR PAKIA PALATAU PAMINYA LOWER PAMINYA UPPER PAMITU PAMORA UPPER PAROKETO PAYERA POKWERO PUNUATAR PUPU PUVUNGU CENTRAL PUVUNGU WEST RAMOGI RUBANGO RUHOKO RUPA RWAITENGYA RWAMUKOORA SWAGERE TAROGALI TEBOKE TEI-ORO THATHA WARD TOKORA TOROMA USUK VURR Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse 3980 1.535 53.398 17.601 7.91 Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse 3980 1.389 42.718 17.509 7.779 Village Village Village Village Village 3980 1 377 187.178 109.613 serial number serial number serial number serial number serial number 3980 1 4194 2103.262 1203.557 household id household id household id household id household id 3980 10310301020014 41511408020164 30924912615850.7 7372639529324.44 date of interview - day date of interview - day date of interview - day date of interview - day date of interview - day 3970 10 1 31 15.324 9.029 date of interview - month date of interview - month date of interview - month date of interview - month date of interview - month 3960 20 8 9 10 11 Sysmiss date of interview - year date of interview - year date of interview - year date of interview - year date of interview - year 3980 2012 roster id of respondent roster id of respondent roster id of respondent roster id of respondent roster id of respondent 3955 25 99 1.449 3.837 start time start time start time start time start time 3967 13 5 9475 1252.294 278.71 end time end time end time end time end time 3932 48 24 4554 1397.24 253.491 language language language language language 3957 23 1 english 2 luganda 3 luo/langi/acholi 4 ateso 5 kuman 6 rutooro 7 karamajong 8 alur Sysmiss other language other language other language other language other language result of interview result of interview result of interview result of interview result of interview 3980 1 interviewed 2 interview incomplete 3 household not found 4 household members temporarily not at home 5 household refused 6 household moved permanently 97 others hh5_q1:lab have any members of the household left the household in last one year hh5_q1:lab have any members of the household left the household in last one year hh5_q1:lab have any members of the household left the household in last one year hh5_q1:lab have any members of the household left the household in last one year hh5_q1:lab have any members of the household left the household in last one year 3980 1 yes 2 no 98 hh6_q1:type of main dwelling that the household occupies hh6_q1:type of main dwelling that the household occupies hh6_q1:type of main dwelling that the household occupies hh6_q1:type of main dwelling that the household occupies hh6_q1:type of main dwelling that the household occupies 3980 1 independent house 2 tenement (muzigo) 3 independent flat/apartment 4 sharing house/flat/apartment 5 boys quarters 6 garage 7 hut 8 uniport 77 other 97 others 98 no response hh6_q1:type of main dwelling that the household occupies other hh6_q1:type of main dwelling that the household occupies other hh6_q1:type of main dwelling that the household occupies other hh6_q1:type of main dwelling that the household occupies other hh6_q1:type of main dwelling that the household occupies other 4 CAMP HUT/TENANT HUTS/ APARTMENT/ PER SHE DOESNT HAVE A HO hh6 q2:what is the tenure status of this household? hh6 q2:what is the tenure status of this household? hh6 q2:what is the tenure status of this household? hh6 q2:what is the tenure status of this household? hh6 q2:what is the tenure status of this household? 3980 1 owned 2 rented (normal) 3 rented (subsidized) 4 supplied free by employer 5 supplied free or rent paid by relative or other person 77 other 97 others 98 no response hh6 q2:what is the tenure status of this household - other? hh6 q2:what is the tenure status of this household - other? hh6 q2:what is the tenure status of this household - other? hh6 q2:what is the tenure status of this household - other? hh6 q2:what is the tenure status of this household - other? 10 CUSTOM TRADITI CUSTOMARY LAND FOR THE CHURCH GIVEN BY A BRO GIVEN BY A GOO SHE DOESNT HAV SHE WAS GIVEN SON'S HOUSE SUPPLIED FREE THEIR HOME hh6 q3:how many rooms are there in your household? hh6 q3:how many rooms are there in your household? hh6 q3:how many rooms are there in your household? hh6 q3:how many rooms are there in your household? hh6 q3:how many rooms are there in your household? 3980 1 2 3 4 5 6 7 8 9 10 11 18 hh6 q4:what is the major construction material of the external wall? hh6 q4:what is the major construction material of the external wall? hh6 q4:what is the major construction material of the external wall? hh6 q4:what is the major construction material of the external wall? hh6 q4:what is the major construction material of the external wall? 3980 1 thatch, straw 2 mud and poles 3 timber 4 un-burnt bricks with mud 5 burnt bricks with mud 6 burnt bricks with cement 7 cement blocks 8 stones 97 others 98 no response hh6 q4:what is the major construction material of the external wall - other? hh6 q4:what is the major construction material of the external wall - other? hh6 q4:what is the major construction material of the external wall - other? hh6 q4:what is the major construction material of the external wall - other? hh6 q4:what is the major construction material of the external wall - other? 19 CEMENT+ BRICKS AND ALSO UN BURNED BRICKS WITH MUD CEMENT, SHEETS THATCH AND STRAW MUD AND CEMENT NO HOUSE PLASTERED POLES POLES ONLY STICKS AND KAVEERA STRAW UNBURNT BRICKS AND CEMENT UNBURNT BRICKS WITH CEMENT hh6 q5:what is the major construction material of the roof? hh6 q5:what is the major construction material of the roof? hh6 q5:what is the major construction material of the roof? hh6 q5:what is the major construction material of the roof? hh6 q5:what is the major construction material of the roof? 3980 1 thatch, straw 2 iron sheets 3 tiles 97 others 98 no response hh6 q5:what is the major construction material of the roof - other? hh6 q5:what is the major construction material of the roof - other? hh6 q5:what is the major construction material of the roof - other? hh6 q5:what is the major construction material of the roof - other? hh6 q5:what is the major construction material of the roof - other? 3 POLYTHENE PAPERS-LARGE HIGH GRAMAGED KAVERA SHEETS AND THATCH AND STRAW THATCH STRAW, IRONSHEETS hh6 q6:what is the major construction material of the floor? hh6 q6:what is the major construction material of the floor? hh6 q6:what is the major construction material of the floor? hh6 q6:what is the major construction material of the floor? hh6 q6:what is the major construction material of the floor? 3980 1 earth 2 earth and cow dung 3 cement 4 mosaic or tiles 97 others 98 no response hh6 q6:what is the major construction material of the floor - other ? hh6 q6:what is the major construction material of the floor - other ? hh6 q6:what is the major construction material of the floor - other ? hh6 q6:what is the major construction material of the floor - other ? hh6 q6:what is the major construction material of the floor - other ? 21 BANANA FIBRES CEMENT CEMENT AND ALSO EARTH AND COWDUNG CEMENT AND COWDUNG CEMENT AND GRAVELS CONCRETE COWDUNG AND CEMENT GRAVVEL MUD AND COWDUNG NOT YET PLASTERED POLES SAND AND COWDUNG STONES STRAW UNBURNT BRICKS WOOD hh6 q7: what is the main source of water for drinking for you household? hh6 q7: what is the main source of water for drinking for you household? hh6 q7: what is the main source of water for drinking for you household? hh6 q7: what is the main source of water for drinking for you household? hh6 q7: what is the main source of water for drinking for you household? 3980 1 private connection to pipeline 2 public taps 3 bore-hole 4 protected well/spring 5 unprotected well 6 river, stream, lake, pond 7 vendor/ tanker truck 8 gravity flow scheme 9 rain water 97 others 98 no response hh6 q7: what is the main source of water for drinking for you household - other? hh6 q7: what is the main source of water for drinking for you household - other? hh6 q7: what is the main source of water for drinking for you household - other? hh6 q7: what is the main source of water for drinking for you household - other? hh6 q7: what is the main source of water for drinking for you household - other? 12 BOREHOLE DAM DAMS KULU UNPROTECTED SPRING SWAMP UNDERGROUND WELL UNPROTECTED RAINING WATER UNPROTECTED RUNNING WATER hh6 q8: how long does it take to collect drinking water from the main source - o hh6 q8: how long does it take to collect drinking water from the main source - o hh6 q8: how long does it take to collect drinking water from the main source - o hh6 q8: how long does it take to collect drinking water from the main source - o hh6 q8: how long does it take to collect drinking water from the main source - o 3980 1 2 3 4 5 6 7 8 9 10 12 14 15 16 17 18 20 22 25 30 34 35 40 41 42 43 45 46 50 55 60 62 65 70 75 80 90 115 120 150 160 180 195 240 260 300 480 998 don't know/n/a hh6 q8: how long does it take to collect drinking water from the main source - a hh6 q8: how long does it take to collect drinking water from the main source - a hh6 q8: how long does it take to collect drinking water from the main source - a hh6 q8: how long does it take to collect drinking water from the main source - a hh6 q8: how long does it take to collect drinking water from the main source - a 3980 1 2 3 4 5 6 7 8 10 12 13 15 20 25 26 30 35 38 40 45 50 52 55 60 62 70 80 90 120 126 130 140 150 160 180 190 220 240 300 320 360 420 480 998 don't know/n/a hh6 q9:what type of toilet is used in your household? hh6 q9:what type of toilet is used in your household? hh6 q9:what type of toilet is used in your household? hh6 q9:what type of toilet is used in your household? hh6 q9:what type of toilet is used in your household? 3980 1 covered pit latrine private 2 covered pit latrine shared 3 vip latrine private 4 vip latrine shared 5 uncovered pit latrine 6 flush toilet private 7 flush toilet shared 8 bush 97 others 98 no response hh6 q9:what type of toilet is used in your household other? hh6 q9:what type of toilet is used in your household other? hh6 q9:what type of toilet is used in your household other? hh6 q9:what type of toilet is used in your household other? hh6 q9:what type of toilet is used in your household other? 20 DIG HOLES DIGGING OF THE HOLES TO COVER THE WASTES DIGS HOLES AROUND THE HOME HOLES NO TOILET OR LATRINE SHARES WITH A FRIEND SHARES WITH NEIGHBOUR SHARES WITH OTHER FAMILIES SHARES WITH OTHERS SHARES WITH SON SHARES WITH THE NEIGHBOUR SHARES WITH THE SUN SHARING WITH ANOTHER HOUSEHOLD UNCOVERED PIT LATRINE SHARED USES FOR THE NEIBOURS BECAUSE HER'S IS DOWN hh6 q10:is your household connected to an electricity line? hh6 q10:is your household connected to an electricity line? hh6 q10:is your household connected to an electricity line? hh6 q10:is your household connected to an electricity line? hh6 q10:is your household connected to an electricity line? 3980 1 yes 2 no 98 no response/n/a hh6 q11: what is the main source of lighting in your dwelling? hh6 q11: what is the main source of lighting in your dwelling? hh6 q11: what is the main source of lighting in your dwelling? hh6 q11: what is the main source of lighting in your dwelling? hh6 q11: what is the main source of lighting in your dwelling? 3980 1 electricity (grid) 2 electricity (generator) 3 electricity (solar) 4 paraffin lantern 5 tadooba 6 firewood 7 candle 8 battery/rechargable torch/lanter 97 other 98 no response/n/a hh6 q11: what is the main source of lighting in your dwelling other? hh6 q11: what is the main source of lighting in your dwelling other? hh6 q11: what is the main source of lighting in your dwelling other? hh6 q11: what is the main source of lighting in your dwelling other? hh6 q11: what is the main source of lighting in your dwelling other? 70 CANDLES DOES EVERYTHING DURING THE DAY DOESNT LIGHT ANYTHING DRY GRASS ENTERS BED EARLY FIRE WOOD FIREWOOD GRASS GRASSES HE HAS NOTHING LIGHTS USING GRASS MARTCH BOX NATURAL LIGHT NONE SLEEPS AT DUSK SLEEPS EARLY SOLAR SOLAR LAMP hh6 q12: what type of fuel do you use most for cooking? hh6 q12: what type of fuel do you use most for cooking? hh6 q12: what type of fuel do you use most for cooking? hh6 q12: what type of fuel do you use most for cooking? hh6 q12: what type of fuel do you use most for cooking? 3980 1 electricity (grid) 2 electricity (generator) 3 electricity (solar) 4 paraffin/kerosene 5 charcoal 6 firewood 7 gas 97 other 98 no response/n/a hh6 q12: what type of fuel do you use most for cooking - other? hh6 q12: what type of fuel do you use most for cooking - other? hh6 q12: what type of fuel do you use most for cooking - other? hh6 q12: what type of fuel do you use most for cooking - other? hh6 q12: what type of fuel do you use most for cooking - other? 12 DOES NOT COOK DOES NOT WORK DOESN'T COOK DOESN'T COOK AND EATS AT SON'S HOME DOESNT COOK DOESNT COOKING DONT COOK HE DOES OT COOK HE DOESN'T COOK NONE hh6 q13: what type of cooking technology do you use in your household? hh6 q13: what type of cooking technology do you use in your household? hh6 q13: what type of cooking technology do you use in your household? hh6 q13: what type of cooking technology do you use in your household? hh6 q13: what type of cooking technology do you use in your household? 3980 1 traditional stove (sigiri) 2 traditional 3-stone open fire 3 improved charcoal stove 4 improved firewood stove 5 gas stove/cooker 6 paraffin stove 7 electric plate/cooker 97 other 98 no response/n/a hh6 q13: what type of cooking technology do you use in your household - other? hh6 q13: what type of cooking technology do you use in your household - other? hh6 q13: what type of cooking technology do you use in your household - other? hh6 q13: what type of cooking technology do you use in your household - other? hh6 q13: what type of cooking technology do you use in your household - other? 9 COOKS USING FIREWOOD AND CHARCOAL DOESN'T COOK DOESNT COOK HE DOESN'T COOK NO COOKING TECHNOLOGY NONE hh7 q1:who is the respondent for this section? hh7 q1:who is the respondent for this section? hh7 q1:who is the respondent for this section? hh7 q1:who is the respondent for this section? hh7 q1:who is the respondent for this section? 3979 1 1 2 3 4 5 6 7 9 98 n/a 99 refused to answer Sysmiss hh7 q2:have you personally raiseed an issue that is important to them at a commu hh7 q2:have you personally raiseed an issue that is important to them at a commu hh7 q2:have you personally raiseed an issue that is important to them at a commu hh7 q2:have you personally raiseed an issue that is important to them at a commu hh7 q2:have you personally raiseed an issue that is important to them at a commu 3980 1 no, would never do this 2 no, but would do if had the chance 3 yes, once or twice 4 yes, several times 5 yes, often 6 don’t know 98 n/a 99 refused to answer hh7 q3:in your opinion how likely is it that you could get together with others hh7 q3:in your opinion how likely is it that you could get together with others hh7 q3:in your opinion how likely is it that you could get together with others hh7 q3:in your opinion how likely is it that you could get together with others hh7 q3:in your opinion how likely is it that you could get together with others 3980 1 not likely at all 2 not very likely 3 somewhat likely 4 very likely 5 don’t know 98 n/a 99 refused to answer hh7 q4:do people from outside of your family come to you for advice on any matte hh7 q4:do people from outside of your family come to you for advice on any matte hh7 q4:do people from outside of your family come to you for advice on any matte hh7 q4:do people from outside of your family come to you for advice on any matte hh7 q4:do people from outside of your family come to you for advice on any matte 3980 1 yes, often 2 yes, sometimes 3 yes, rarely 4 no, never 98 n/a 99 refused to answer hh7 q5a:on which step are you today? hh7 q5a:on which step are you today? hh7 q5a:on which step are you today? hh7 q5a:on which step are you today? hh7 q5a:on which step are you today? 3980 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 98 n/a 99 refused to answer hh7 q5b:on which step are most of your neighbours today? hh7 q5b:on which step are most of your neighbours today? hh7 q5b:on which step are most of your neighbours today? hh7 q5b:on which step are most of your neighbours today? hh7 q5b:on which step are most of your neighbours today? 3980 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 98 hh9 q1: does any member of this household currently own any land? hh9 q1: does any member of this household currently own any land? hh9 q1: does any member of this household currently own any land? hh9 q1: does any member of this household currently own any land? hh9 q1: does any member of this household currently own any land? 3980 1 yes 2 no 98 hh9 q2:how many acres are owned in total by members of this household? hh9 q2:how many acres are owned in total by members of this household? hh9 q2:how many acres are owned in total by members of this household? hh9 q2:how many acres are owned in total by members of this household? hh9 q2:how many acres are owned in total by members of this household? 3559 421 998 6.529 46.832 hh9 q3:how many acres of land owned by the household are cultivated for agricult hh9 q3:how many acres of land owned by the household are cultivated for agricult hh9 q3:how many acres of land owned by the household are cultivated for agricult hh9 q3:how many acres of land owned by the household are cultivated for agricult hh9 q3:how many acres of land owned by the household are cultivated for agricult 3559 421 998 8.256 78.364 hh9 q4:how many acres of land owned by the household are currently rented out? hh9 q4:how many acres of land owned by the household are currently rented out? hh9 q4:how many acres of land owned by the household are currently rented out? hh9 q4:how many acres of land owned by the household are currently rented out? hh9 q4:how many acres of land owned by the household are currently rented out? 3559 421 998 54.865 227.106 hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by 3980 1 yes 2 no 98 dk/n/a hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by hh9 q5:does any member of this household cultivate on land that is not owned by 966 3014 998 4.878 55.702 hh10 q1: how would you describe the situation of your household now, in terms of hh10 q1: how would you describe the situation of your household now, in terms of hh10 q1: how would you describe the situation of your household now, in terms of hh10 q1: how would you describe the situation of your household now, in terms of hh10 q1: how would you describe the situation of your household now, in terms of 3980 1 doing very well 2 doing well 3 doing just ok 4 struggling 5 unable to meet household needs 98 dk/n/a hh10 q2:compared with a year ago would you say that your household is doing bett hh10 q2:compared with a year ago would you say that your household is doing bett hh10 q2:compared with a year ago would you say that your household is doing bett hh10 q2:compared with a year ago would you say that your household is doing bett hh10 q2:compared with a year ago would you say that your household is doing bett 3957 23 1 a lot better off 2 a little better off 3 about the same 4 a little worse off 5 a lot worse off 6 can’t/won’t say 98 dk/n/a Sysmiss hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? 3855 hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? 1502 2478 1 loss of productive household member (death) 2 loss of productive household member (leaving hh) 3 illness/injury of household member 4 loss of hhs own animals 5 loss of hhs own land or water resources 6 loss of access to land, water or other natural resources for production 7 loss of other productive assets (tools, machinery etc) 8 less income or loss of job 9 less income from animal husbandry, fishing or farming – lower volume of produciton 10 less income from animal husbandry, fishing or farming – higher input costs or lower sales prices 11 less income from animal husbandry, - lower volume of sales 12 less income from other houseold business 13 increased number of dependents 14 large expenditure due to ill health or death of hh member (inc funeral) 15 large expenditure on social obligations 16 increased cost of food 17 increased cost of fuels, transport or other necessities 18 debt repayments 19 loss of aid (ex. ngo programme finishing) 97 other 98 Sysmiss hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? 2502 . AV TRIED GROWING FLOWERS BUT ALOT HAS BEEN DAMAGED BY PEST CANT DIG THE FARM CROPS CULTIVATED ARE WASHED BY RUNNING WATER FROM THE GARDENS DOES NOT HAVE MONEY FOR BASIC NEEDS FLOODS FLOODS AFFECTED THEIR CROPS FOOD IS NOT ENOUGH THIS YEAR GETTING WEAKER EVERYDAY HAD NO FOOD HE AND HIS WIFE ARE SICK HEAVY RAINFALL WASHED AWAY CROPS FROM THE GARDEN HOUSE AND EVRYTHING IN IT GOT BURNT HUNGER,NO CLOTHING I AM GETTING OLD AND WEAK DAY BY DAY I DID NOT GET ENOUGH MONEY TO SEND MY CHILDREN TO SCHOOL I HAVE GROWN OLD AND GOT POOR HEALTH SO CANT WORK AS BEFORE I NO LONGER DIG AND HAVE ENOUGH FOOD LIKE I USED TO I WAS BITTEN BY A SNAKE THEY HAD TO CUT OFF MY LEG IMPRISONMENT OF A HOUSEHOLD MEMBER INCREASE IN FOOD PRICES,ILLNESS AND SICKNESS AND LACK OF CLOTHIN INCREASED COST OF FOOD LACK OF FOOD IN THE HOUSE LACK OF FOOD, LACK OF LAND , SICKNESS LACK OF FOOD, SICKNESS OF THE CHILDREN, ILLNESS LACK OF RAIN FALL LACK OF RELIABLE RAINFALL LARGE EDUCATION EXPENCES AND YET THEY ARE NOT PERFORMING LARGE EXPENDITURE ON EDUCATION LARGE EXPENDITURE ON OTHER ELDER SONS WHO WERE IMPRISONED LATE RETURN OF RAIN INTERFEARED WITH AGRICULTURAL ACTIVITIES LESS FOOD PRODUCTION LESS PROODUCTION LITTLE ABILITY TO PARTICIPATE IN FIELDWORK LOW CROP YIELD LOW OUTPUT FROM AGRICULTURAL PRODUCTS LOW PRICES OF FOOD LOW YIELD FROM CROPS LOW YIELDS MANY RESOURCES HAS BEEN WASTED TO MEET COURT EXPENCES MIGRATED FROM KYENJOJO MIGRATION INTO A NEW PLACE MOST OF CROPS HAVE BEEN AFFECTED BY FLOODS MY AGRICULTURAL PRODUCES WERE STOLEN NO ANIMALS FOR SALE NO CAPITAL FOR BUSINESS. ILLNESS AND SICKNESS. NO EMPLOYMENT NO FOOD NO FOOD , THE LAND IS INFERTILE FOR MATOKE NO FOOD TO EAT NO FOOD TO EAT LEADING TO HUNGER NO FOOD TO EAT THIS YEAR NO FOOD,SICKNESS NO MONEY NO MONEY TO TAKE CARE OF MY OLD MUM NO MONEY TO USE FOR BUILDING NO MONEY,LACK OF FOOD,ILLNESS. NO MUCH PRODUCTION NO PROPER RAINFALL, NO FOOD NO PROPER RAINFALL;POVERTY;POOR YIELD NO RAINFALL, POVERTY NO RAINFALL. LACK OF FOOD. FLOODING. NOT CULTIVATED ANYTHING THIS YEAR SO NO FOOD TO EAT OLD AGE OLD AGE HAS AFFECTED HIS STRANGTH PHISICALLY WEAK AND OFTENLY CANT DIG POOR FARMING METHODS POOR YIELD, POVERTY POOR YIELD. NO MONEY POVERTY, POOR YIELDS RAIN AND BAD WEATER ,DISTANCE FROM HOME RISE IN PRICE OF GOODS SCHOOL HAS BECOME VERY EXPENSIVE AND CHILDREN HAVE TO STUDY SHE IS VERY WEAK TO ACTIVILY PARTICIPATE IN FARM WORK SHORTAGE OF FOOD , LACK OF MONEY SINGLE MOTHER SOME CROPS CULTIVATED WERE SWEPT BY RUNNING WATER STOLE MY MONEY (THEFT),LOSS OF COWS THE HH IS AGEING AND BECOMING WEAKER UNABLE TO WORK THE HOUSE GOT BURNT AND I HAVENT BUILT A SERIOUS HOUSE THE HOUSE HOLD MEMBERS ARE INCREASING AND THE EXPENDITURE THE HOUSEHOLD DID NOT CULTIVATE ANYTHING THIS AGRICULTURAL YEAR THERE ARE NO MONEY IN PEOPLES HANDS, THINGS ARE EXPENSIVE THERE HAS BEEN HUNGER BECAUSE OF LACK OF LAND TO FARM THERE IS ALOT OF HUNGER THERE IS NO ENOUH FOOD STUFF IN THE HOUSE THERE IS NOT ENOUGH FOOD STUFF IN THE HOME THERE IS TOO MUCH SUNSHINE AFFECTING CROPS THERE WAS ENOUGH FOOD PRODUCED LAST YEAR THEREFORE LOW FOOD PRODUCTION THEY DIDNT CULTIVATE ANYTHING THIS AGRICULTURAL SEASON THEY WANT TO CHASE HIM FROM HIS LAND THIS YEAR THE FLOODS HAVE DESTROYED ALL MY FOOD AND HOUSE TOO MUCH RAIN THAT HAS SPOILED THE CROPS IN THE GARDEN TWO MUCH SUNSHINE DESTROYED CROPS VERY OLD AND CANNOT FEED OURSELVES WELL VERY OLD AND WEAK VERY WEAK,NEEDY AND OLD hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? hh10 q3:why is your household worse off than a year ago - description? 3627 . A LOT OF RAINFALL WHICH DESTROYED THE CROPS A LOT OF SICKNESS AMONG HH MEMBERS A LOT OF SICKNESS IN THE FAMILY A LOT OF SUNSHINE A LOT OF WATER HAS DESTROYED OUR CROPS ABANDONED KIDS ABSENCE OF GOOD MARKET ACCIDENT ACCUMULATED DEBTS ACUTE TB MY EYES CANT SEE WELL ADVERSE CLIATE , PESTS ADVERSE CLIMATE ADVERSE CLIMATE AFFECTING CROP YIELDS ADVERSE CLIMATE CONDITION ADVERSE CLIMATE NOT GOOD FOR CROPS CAUSING DAMAGE ADVERSE CLIMATIC CONDITION ADVERSE CLIMATIC CONDITIONS ADVERSE CLIMATIC CONDITIONS,NO ENOUGH RAINS FOR CROPS ADVERSE CLIMATIC CONDTION AGE AGE AND MATURE AGEING BREADWINNERS . CHILDREN TAKING ALL THE MONEYFEES AGEING SO CANT WORK AGRI PRODUCE ARE LOW AGRICULTURAL PEST AGRICULTURAL PEST AFFECTING CROPS HENCE LOW PRODUCE AGRICULTURAL PEST DESTROYED BEANS AGRICULTURAL PEST DESTROYED THE BEANS AGRICULTURAL PESTS AGRICULTURAL PESTS AND DISEASES AIDING PROJECT ENDING ALL THE CROPS I HAD CULTIVATED WERE DESTROYED BY THE FLOODS ALOT OF MONEY WAS SPENT ON TREATMENT ALOT OF PEST AND LACKED SEEDS TO PLANT ALOT OF RAINFALL ALOT OF RAINFALL AND INFLATION ALOT OF RAINFALL HAS DESTROYED OUR CROPS ALOT OF RAINFALLS THAT FLOODED AND DESTROYED MY CROPS ALOT OF SUNSHINE ALOT OF SUNSHINE BURNING THE CROPS ALOT OF SUNSHINE SO CROPS ARE DRYING UP ALOT OF SUNSHINE THAT DESTROYS OUR CROPS AM BECOMING WEAK AND SICKLY AM GETTING WEAK OLD TO SURVIVE AM NOW OLD AND WEAK ANIMAL DISEASE WERE JUST TOO MUCH ASMATIC IS CHRONOCAL DISEASE CAUSED NATURALLY AVAILABILITY OF RAINFALL BAD CLIMATE BAD CLIMATE AND POOR SOIL BAD CLIMATE BECAUSE OF TOO MUCH SUNSHINE AND RAINFALL BAD CLIMATE, TOO MUCH SUNSHINE BAD CLIMATIC CHANGE BAD CLIMATIC CONDITION BAD CLIMATIC CONDITIONS BAD ROADS BAD WEATHER BAD WEATHER (FLOODING) BAD WEATHER AND DELAY IN RAINY SEASON BAD WEATHER AND LESS LABOUR FOR FOOD PRODUCTION BAD WEATHER AND RAIN COMING LATE BAD WEATHER CONDITION BAD WEATHER CONDITIONS BAD WEATHER CONDITIONS IN THE AREA BAD WEATHER CONDITIONS THAT DESTROYS CROPS BAD WEATHER WHICH HAS DAMAGED CROPS IN THE GARDEN BAD WEATHER WITH MUCH SUN BAD WETHER CONDITIONS BECAUSE I HAD NOTHING TO SELL AND STRIVE ON BECAUSE OF THE OLD AGE AND SICKNESS I CAN NOT DIG BECAUSE THE FLOODS DESTROYED ALL THE CROPS BECAUSE THE LITTLE MONEY LEFT WAS SPEND ON TREATMENT BEING REDUNDANT DUE TO OLD AGE BODY WEAKNESS AND OLD AGE BODY WEKNESS DUE TO SICKNESS BUSINESS IS DOWN THIS YEAR CALAMITIES/FLOODING CAN NOT TELL WHY THERE IS LOW PRODUCTION OF CROPS CAN'T TELL WHAT IS HAPPENING WITH THE SCHOOL CANCER CANT SAY CANT SAY WHAT WENT WRONG CAR ACCIDENT CHANG IN LIFE CIRCUMSTANCES CHANGE IN CLIMATIC CONDITIONS CHANGE IN FAMILY CHANGE IN FAMILY LIFESTYLE CHANGE IN LIFE CHANGE IN LIFE CIRCUMSTANCE CHANGE IN LIFE AGING BREAD WINNER CHANGE IN LIFE CIRCUMSTANCE CHANGE IN LIFE CIRCUMSTANCES CHANGE IN THE WEATHER CONDITIONS CHANGE OF LIFE CIRCUMSTANCES CHANGE OF WEATHER IS WASN`T FAVOURABLE CHANGES IN CLIMATE PATTERNS IN THE AREA CHANGES IN DEMAND CHANGES IN WEATHER CONDITION CHILDREN GOT MARRIED CLIMATE CLIMATE CHANGE CLIMATE CHANGES CLIMATE DID'NT FAVOUR CROPS CLIMATE FAILURE CLIMATIC CHANGE CLIMATIC CHANGE,LOW PRODUCE MEANS LOW INOME CLIMATIC CHANGES CLIMATIC CONDITION CLIMATIC CONDITION CAUSING FLOODING CLIMATIC FAILURE CONFLICT CONFLICT AMONG CHILDREN OVER LAND CONFLICT BETWEEN TURKANA AND JIE MADE ME RUN TO MOTOTO CONFLICT WITH OTHER RELATIVES-THIEVES CONFLICTS AND MISUNDERSTUNDING CONSTANT CONSTANT LAND WRANGLING CONSTANT SICKNESS CONSTANT SICKNESS HAS LET TO LOW PRODUCTION CROP DISEASE, BANANA DISEASE CROP FAILURE CROPS ARE PRODUCING POOR YIELDS BRCAUSE THEY GET ROTTRN IN THE GARDENS CROPS DESTROYED BY FLOODS CROPS FAILURE CROPS LOST CROPS WERE AFFECTED BY PESTS CROPS WERE DESTROYED DEATH DEATH AND DISEASES DEATH OF A HHOLD MEMBER DEATH OF FAMIMILY MEMBERS DEATH OF FIRST BORN SON WHO WAS PROVIDING FOR THE HHOLD DEATH OF HER HUSBAND RENDERED HIM VULNERABLE DEATH OF HHOLD HEAD DEATH OF HOUSEHOLD HEAD DEATH OF MY HUSBAND DEATH OF THEIR FATHER AND MOTHER DELAYED RAINS HENCE POOR HOUSES DEPARTURE OF HER BELOVED PASTURE AND UNEMPLOYMENT DEPENDS ON OTHER HOUSEHOLDS FOR SUPPORT BECAUSE THE WIFE CANT DO THING DESEASE MALARIA DESTRUCTION CAUSED BY RAINFALL DESTROYED AGRICULTURAL PRODUCT DESTRUCTION OF CROPS BY HAIL STORMS DIABETES (SICKNESS) DIABETTES DID NOT CULTIVATE BECAUSE OF SICKNESS DID NOT CULTIVATE DUE TO SICKNESS DIED OF SICKNESS DISABILITY DISEASE DISEASE (SICKNESS OF THE UTERUS) DISEASE AFFECTING SIRGUM DISEASE AND OLD AGE DISEASE AND SICKNESS DISEASE HENCE AFFECTING WORK DISEASE OF CHILDREN DISEASE OF THE WOMAN CANNOT CULTIVATE BECAUSE OF BODY WEAKNESS DISEASE,COUGH AND FLUE WEAKENED MY BODY DISEASE/ OPERATION DISEASE/PESTS DISEASES DISEASES , NO RAINFALL DISEASES AND SICKNESS DISEASES ATTACKED US DISEASES E.G PRESSURE ,SICKNESS IN THE STOMACH DISEASES HAD BEEN KILLING THEM DISEASES LIKE DIABETIS, OVER SUNSHINE DISEASES LIKE MALARIA DISEASES, OVERSUNSHINE DISEASES, POOR YIELDS DISEASES,TOO MUCH SUN DISEASES/DIABETES DISEASESS DISIESES DON'T KNOW DONT HAVE ENERGY AS AM SICK AND TOO OLD DROUGHT DROUGHT AFFECTED THE FIELDS DROUGHT PROLONGED DROUGHT/TOO MUCH SUN DUE FLOODS DUE TO ALOT OF FLOODS DUE TO BAD ROADS DUE TO CLIMATIC CHANGE DUE TO DALAYED RAINFALL DUE TO FLOODS ALL THE CROPS ARE DESTROYED DUE TO HIGH RAINFALL DUE TO INCREASED DEPENDENTS DUE TO LITTLE RAINFALL DUE TO LOW RAINFALL DUE TO MUCH SUNSHINE DUE TO OLD AGE NO ENERGY DUE TO OLD AGE SHE DOESN'T DO ANY BUSINESS DUE TO RAINS MAKING WATER LODGING DUE TO RENTING LAND WHICH IS NOT FERTILE DUE TO SICKNESS DUE TO SICKNESS SHE CANT WORK LIKE BEFORE DUE TO SICKNESS WE HAVE NOT CULTIVATEE ALOT DUE TO TOO MUCH SUNSHINE EARLY PREGNANCY ECONOMIC ACTIVITIES NOT BOOMING HENCE LOW INCOME ECONOMY IS BAD EFFECTS OF PESTS ELDERLY DISEASES AND STRESS EXTENDED FAMILY FALLEN SICK THAT RENDERED THE WEAK FIGHTING IN THE KARAMOJA REGION FIRST HARVEST WAS DESTROYED FLOOD FLOOD HEAVY RAINS FLOODING FLOODING IN THE GARDENS FLOODING OF GARDEN FLOODING OF GARDENS FLOODS FLOODS DESTROYED THE FOOD FLOODS WASHED AWAY THE CROPS FOOD IS EXPENSIVE FREQUENT ILLNESS FREQUENT SICKNESS OF SPOUSE TO HEAD OF HOUSEHOLD FREQUENT SICKNESS AND ILLNESS FREQUENT SICKNESS OF HOUSEHOLD HEAD GENERAL WEAKNESS IN THE BODY GETTING OLD AND WEAK GETTING OLDER AND WEAK GETTING OLDER. GETTING WEAKER AND OLD GETTING WEAKER EVERY YEAR GOT A MYSTERIOUS ATTACK THAT KILLED HIM GOT AN INJURY GOVERNMENT POLICIES ON FOOD STUFFS GROWING POPULATION HAD NO ONE TO HELP ME WITH FARMING HAIL STONES AFFECTED THE CROPS HD SOLD SOME OF THE ANIMALS HE CHANGED HIS MIND ABOUT ME AND GOT OTHER WOMEN HE HAS BEEN SICK FOR A LONG TIME HE HAS BEEN SICK FOR ALONG TIME HE HAS BEEN SICK FOR THE LAST 5 MONTHS SO HE COULD NOT WORK HE WAS ILL FOR A LONG TIME HEAD OF HOUSEHOLD DOES NOT WORK HEAD OF THE HOUSEHOLD BECAME SICK FOR A PERIOD OF TWO MONTHS HEART PROBLEM HEAVY FLOOD HEAVY FLOODS DESTROYING CROPS HEAVY RAIN DESTROYED CROPS HEAVY RAINFALL HEAVY RAINS CAUSING FLOADING HEAVY RAINS FALL WITHSNOW DESTROYED WHAT WE PLANTED HEE IS WEEK CANT DO ANY THING HIGH COMMODITY PRICES HIGH COST OF FOOD HIGH COST OF FOOD AND INCREASE RESPONSIBILITIES TO GRAND HIGH COST OF LIVING HIGH COST OF LIVING AND BAD CLIMATE HIGH EXPENDITURE ON FEES HIGH EXPENSE ON EDUCATION HIGH SUNSHINE. NO RAINS HIGH TAXES FROM THE GOVT HOUSEHOLD MEMBERS ARE MORE SICKLY HUNGER BROUGHT WEAKNESS AND SICKNESS HUSBAND LEFT HOME AND WENT AWAY HWAKERS WHO MOVE WITH CLOTHES UP TO THE CUSTOMERS I AM AGED AND FEELING WEAKER I AM OLD NOW I DONT DIG FOR MY MEMBERS I AM THE ONLY BREAD WINNER IN THE HOUSEHOLD I BORROWED I CAN NO LONGER DIG MY MY FARM I CAN NOT TELL EXACTLY WHAT THE PROBLEM IS I CANNOT TELL ITS JUST THE NATURE I DEVELOPED WOUNDS IN THE STOMACH I DIDN'T CULTIVATE ENOUGH I DNT HAVE ENERGY I DON'T KNOW SOMETHING HAS CHANGED I DONT HAVE MONEY TO RENT LAND I DONT HAVE MY OWN LAND TO CULTIVATE I FELL SICK SHORTLY AND COULD NOT MANAGE TO DIG ALOT I GOT AN INJURY ON THE LEG WHEN FARMING I HAVE BEEN FALLING SICK A LOT AND CANT FARM MUCH I HAVE GROWN OLD I HAVE LESS ENERGY TO CULTIVATE DUE TO OLD AGE I NO LONGER DIG DUE TO OLD AGE I NO LONGER HAVE ENOUGH ENERGY TO CULTIVATE A BIG PIECE OF LAND I QUARELLED WITH MY WIFE I SPENT ALOT OF TIME IN HOSPITAL,SO I DID NOT CULTIVATE I STATED DIGGING LATE DUE TO TOO MUCH SUN I WAS AMBUSHED I WAS CHASED FROM HOME BY MY PARENTS ICREASED NUMBER OF RESPONDENTS ILLNESS ILLNESS AND POOR CLIMATE ILLNESS FORCED HER O GET LOAN ILLNESS OF HEAD OF HOUSES ILLNESS OF HOUSEHOLD HEAD ILLNESS OF MY DOUGHTER HAD TO TAKE CARE OF HER IN HOSPITAL ILLNESS OF PRODUCTIVE MEMBER ILLNESS OF THE HH HEAD AND WIFE ILLNESS OF THE HOUSEHOLD ILLNESS/ DISEASE ILLNESSS OF THE HEAD OF HH ILNESS OF HOUSEHOLD HEAD IMMIGRATION (MZEE JOINED MY HOUSEHOLD) &HIS FAMILY IMPACT OF CLIMATIC FAILURE INADEQUATE INCOME INADEQUATE LABOUR AND CLIMATIC CONDITION INADEQUATE LABOUR TO CULTIVATE INADEQUATE LAND AREA INCREASE COSTS OF FOOD INCREASE NUMBER OF DEPENDANTS INCREASED EXPENDITURE ESPECIALLY SCHOOL FEES INCREASED NO OF DEPENDANTS INCREASED NUMBER OF DEPENDANTS INCREASED PRICES FOR COMMODITIES INJURED MY LEG THE TIME WAS FETCHING FIRE WOOD INJURY INJURY / DISEASE INJURY /DISEASE INJURY /DISEASES INJURY AND DISEASES INJURY AT THE BACK INJURY DISEASE INJURY/DISEASE INJURY/DISEASES INSUFFICIENT CASH TO MEET BASIC NEEDS ISUFICIENT RAINS IT DID NOT RAIN MUCH IN THE PLACE IT WAS SUNNY IT WAS SUNNY THIS SEASON IWAS SICK EARLY THIS YEAR KIDNEY FAILURE LACK OF A GOOD JOB TO EARN ENOUGH MONEY LACK OF ACCESS TO LAND DUE TO FLOODS LACK OF EMPLOYMENT OR JOBS IN THE ARREARS LACK OF ENOUGH FOOD AND OTHER COMMODITIES LACK OF ENOUGH LAND FOR AGRICULTURE LACK OF ENOUGH MONEY TAKE CARE OF THEM LACK OF ENOUGH SUPPORT LACK OF HUMAN RESOURCES LIKE MAN LABOUR LACK OF INVESTMENT IN THE HH IN THE PAST YEAR LACK OF JOB OPPORTUNITY LACK OF MONEY FOR TREATMENT LACK OF RESOURCES LACK OF RESOURCES FOR CULTIVATING LACK OF STRENGTH TO WORK IN THE GARDEN LAND GETS UNFERTILE AFTER SOME TIME AND NEEDS A BREAK LAND HAS BECOME LESS PRODUCTIVE LAND WRANGLES LARGE NUMBER OF BROTHER LAND INHERITORS WHICH RESULTED IN SHARING OF LAST YEAR I ONLY CONCENTRATED ON COTTON LEADING TO LESS PRODUCTION OF FOOD LESS CUSTOMERS LESS FOOD PRODUCTION IN A WAY I CAN'T REALLY EXPLAIN LESS FOOD PRODUCTION IN AGRICULTURE LESS INCOME, FISHING OR FARMING, LOWER INCOME OF PRODUCTION LESS MARKET FOR THE GOODS AND SERVISCES DUE TO TO DOWN FALL IN THE ACT LESS MONEY GOT FROM THE BUSINESSES DONE BY THE HOUSEHOLD HEAD LESS RESOURCES FOR CULTIVATION AND DISEASES LESS SALES , LOSS ANIMALS LESS SALES,FIRE LESS TRADE, NO BUSINESS IN AREA TO SURVIVE LESS TRADING LESS TRADING ACTIVITIES LESS TRADING ACTIVITY IN THE AREA LESS TRADING IN THE AREA LESS/FEWER CUSTOMERS LIMITED LABOUR FOR CULTIVATION BECAUSE ONE FAMILY MEMBER IS SICK LITTLE INCOME FROM THE HOUSEHOLD LITTLE LAND NO PRODUCT FOR SALE LITTLE RAIN LITTLE RAINFALL LITTLE RAINFALL,SICKNESS,LOW PRODUCTS TO SELL LITTLE RAINNY SEASON LIVESTOCK RAIDED LONG DISTANCE TO LAND FOR CULTIVATION LONG DROUGHT LONG DRY SPELL LONG ILLNESS BY THE SON LONGIME ILLNESS OF PRODUCTIVE HOUSEHOLD LOSS OF ANIMALS LOSS OF ANIMALS WHICH WERE TAKEN BY THE K'JONG OF JIE LOSS OF JOBS LOSS OF PRODUCTS FROM THE GARDENS FOR SALE LOST HOUSEHOLD HEAD WHO COULD HELP GET LAND LOST PRODUCTIVE COWS LOST THE FAMILY MEMBERS LOTS OF BODY PAIN LOTS OF PRODUCTIVE MEMBER OF HHOLD LOW DEMAND IN THE MARKET LOW LAOUR SUPPLY ON AGRICULTURAL PRODUCTION DUE TO OLD AGE LOW MILK PRODUCTION LOW OUTPUT FROM AGRICULTURE LOW OUTPUT FROM FARMING LOW PRODUCE LOW PRODUCTION IN AGRICULTURE LOW PRODUCTIVE INCOME IN TERMS OF SALES LOW RAINFALL LOW YIELD FROM FARM MADNESS WAS NATURAL MAJORITY OF PEOPLE HAD GROWN GROUNDNUTS AND SOYA BEANS, LOW PRICES MALARIA MARKET CLOSED WHERE SHE WAS RUNNING A HOTEL MIGRATION MILD ILLNESS MILD SICKNESS MISUNDERSTANDING/CONFLICT MONEY BECOMING VALUELESS MONKEYS ATE ALL THE GROUNDNUTS AND BEANS MORE SUNSHINE MOST OLD AGE HOUSEHOLD MEMEBRS HAVE LEFT THE HOUSE MUCH SUNSHINE MY CHILDRENS ARE JOINING INSTITUTIONS MY HARDWORK AND ALSO BECAUSE AM DOING WELL MY HSE FELL DUE TO ADVERSE CLIMATIC CONDITIONS MY HUSBAND DIED AND LEFT ME WITHOUT ANY SAVINGS MY HUSBAND HAS MANY WIVES AND CHILDREN MY HUSBAND IS MENTALLY ILL SOMETIMES , SO HE CANNOT WORK MY HUSBAND WAS AWAY FOR SOMETIME SO IT WAS DIFFICULT FOR THE FAMILY MY LAND WAS GRABBED FROM ME AND SOLD OFF MY LEG GOT BROKEN MY NAME WAS SCRAPPED FROM PAY ROLL MY SICK AND DISABLED NOTT ABLE TO CULTIVATE MY SON LOST THE WIFE MY STRENGTH IS NOW WEAKENED MY TRANSFER TO ANOTHER SUB- COUNTRY MY WIFE LEFT AND I HAD STRUGGLE TO LOOK FOR HER (SPENT ALOT) MY WIFE WAS OPERATED AND STOPPED FROM WORKING NATURAL CAUSE NATURAL CAUSES NATURAL DISEASES NATURAL SICKNESS NATURE NEVER WORKS DUE TO OLD AGE NO ASSETS IN HOUSEHOLD/UNRESOURCEFUL HOUSEHOLD NO ASSETS TO GENERATE INCOME,NO LAND NO ASSETS, CHANGE IN NATURE AND LIFE NO BUSINESS, NO SALES FROM THE GARDEN NO BUYERS NO CAPITAL TO RUN THE BUSINESS,LOSS OF LIVESTOCK NO EMPLOYMENT OPPORTUNITIES IN THE AREA NO FARM NO FLOODS NO FOOD PRODUCED ON TIME FOR SALE NO JOB AND NOTHING TO SELL NO JOBS,NO SALES FROM AGRICULTURE NO LAND FOR AGRICULTURE NO MARKETS FOR OUR PRODUCE NO MONEY NO MONEY FOR US TO PURCHASE FOOD IN THE LOCAL MARKET NO MONEY FOR US TO PURCHASE GOODS FROM THE MARKET NO MONEY TO PAY PEOPLE TO WORK FOR HER,NEITHA FOR BUILDING NO MONEY TO RENT LAND FOR CULTIVATION NO ONE HAS A JOB TO EARN MONEY TO HELP THE HOUSEHOLD NO OR LESS JOB OPP TO EARN INCOME NO PRODUCTIVE ASSET,WEAK PHYSICALLY NO RAIN AND IT CAME LATE NO RAIN SO FISHING IS DIFFICULT NO RAINFALL NO RAINFALL, OVER SUNSHINE NO RAINRFALL,ACCIDENT NO RAINS ON THE LAND NO SALES NO TIME FOR ME TO GO AND LOOK FOR MONEY BECAUSE OF CHILDREN NO WAY OF GETTING MONEY THROUGH WORK NO WORK TO DO NOTHING TO SELL AS CROPS WERE NOT DOING WELL OFTEN SICKNESS OLD AGE OLD AGE ,DISEASES OLD AGE AFTER ILLNESS OLD AGE AND DISEASES OLD AGE AND GENERAL BODY WEAKNESS OLD AGE AND GETTING WEAK OLD AGE AND HENCE CAUSING DISEASES AND DISSABILITIES OLD AGE AND LACK OF FARM EQUIPMENT OLD AGE AND NATURE OLD AGE AND POOR HEALTH OLD AGE AND SICKNESS OLD AGE AS A RESULT OF DISEASE,NO MONEY OLD AGE CAUSING LESS ENERGY FOR FARMING OLD AGE IS AFFECTING THEIR DAILY ACTIVITIES OLD AGE SICKNESS OLD AGE THAT HAS NOW WEAKENED ME OLD AGE/ DISEASE OLD AGE/DISEASE OLD WOMAN,LIMITED HELP OLDAGE OLDM AGE OLG GAE, DISEASES ONLY FEW PEOPLE ARE ENGAGED IN FARMING ONLY ONE PERSON DIGGING FOR THE HOUSE OUR LAND WAS CONFISCATED OVER CULTIVATION ON THE SAME LAND OVER SUNSHINE PAIN IN THE CHEST AND TOO MUCH HEADACHE PASISTANCE SICKNESS PASSED ON (WIFE) PEOPLE BUY MY PRODUCT AT A CHEAPER PRICE THUS LITTLE MONEY IN MY HOME PEOPLE COME FROM DIFFERENT ANGLES TO BUY FOOD FROM THIS AREA PERSISTENCE SICKNESS PEST PEST AFFECT THE CROPS PEST AFFECTED THE CROP PEST AFFECTED THE CROPS PEST DESTROYED CROPS PEST DESTROYED OUR CROPS PEST HAV AFFECTED THE CROPS PEST HAVE AFFECTED PEST HAVE AFFECTED THE CROPS PEST IN THR GARDEN PEST OF DISEASE HAS SO MUCH AFFECTED IT PESTS PESTS AFFECED THE PLANTATION PESTS AFFECTED PESTS AFFECTED CROPS PESTS AFFECTED THE CROPS PESTS AND DISEASES PESTS AND DISEASES AFFECTING CROPS PESTS AND DISEASES AFFECTING THE YIELD PESTS AND DROUGHT PESTS DESTROYED OUR CROPS PESTS HAVE AFFECTED THE CROPS PESTS IN AGRICULTURE, BAD WEATHER PESTS STRUCK MY GARDEN AND DESTROYED MY CROP PESTS THAT ATTACKED OUR CROPS PESTS THAT EATS OUR CROPS PLANTED CROPS LATE POOR CLIMATE POOR CLIMATE CONDITION AND PEST POOR CLIMATE, LESS PRODUCE POOR CLIMATIC CONDITION POOR CLIMATIC CONDITIONS POOR HEALTH POOR HERVEST POOR RAINS POOR ROADS POOR WEATHER POOR WEATHER CONDITION POOR WEATHER SO NO FOOD IN ABUNDANCE POOR YIELDS POOR YIELDS FROM GARDENS POOR/BAD WEATHER POVERTY POVERTY AND BAD WEATHER CONDITION PRICE FLACTUATION IN THE MARKET PRODUCED MORE SOLD AT AVERY LOW COST HENCE UNABLE TO MAKE SAVING RAIN CAME BACK LATE RAIN COME BACK LATE RAIN COMEBACK LATE, TOO MUCH SUNSHINE RAIN HAS DESTROYED WHAT WE PLANTED RAIN WAS INADEQUATE RAIN WAS LATE RAINFALL RAINFALL COME LATE FOR US RAINFALL DELAY RAINFALL THAT HAS BEEN TOO MUCH RAINS DESTROYED THE CROPS RAINS WERE SCARCE RETIRED RITIRED BREAD WINNER , LESS SAKES SEPARATION FROM THE HUSBAND SEPARATION WITH HUSBAND SEVER SICKNESS OF A PRODUCTIVE HOUSE HOLD MEMBER SEVERE SICKNESS AMONG THE HOUSEHOLD MEMBERS SHE CANNOT PROVIDE FOR ALL HER DEPENDANT SHE DIED OF PRESSURE SHE FELL SICK AND ALL THE MONEY WAS USED FOR TREATMENT SHE GOT BURNT BUT AFTERWARDS SHE HAD AMEMOMIA SHE HAS BEEN DOWN FOR SOMETIME YET SHE IS THE MAIN PERSON SHE HAS BEEN SICK SHE HAS BEEN SICK FOR SOME TIME SHE HAS BEEN SICK FOR THE LAST 3 YEARS SHE HAS BEEN SICKLING SHE HAS BODY PAIN ALL OVER SHE IS SICK SHE IS WEAK DUE TO OLD GAE , SHE NO LONGER WORKS SHE NO LONGER WORKS DUE TO OLD AGE SHE NO LONGER WORKS LIKE BEFORE DUE TO OLD AGE SHE NOLONGER WORKS DUE TO OLD AGE SHORTAGE OF FOOD DUE TO THE SUNSHINE WHICH DESTROYED MOST CROPS SHORTAGE OF RESOURCES FOR CULTIVATING SICK SICK CHILD SICKNESS SICKNESS /OLD AGE SICKNESS AND DISEASE SICKNESS AND ELDERLY SICKNESS AND ILLNESS OF THE CHEST SICKNESS AND LESS MAN LABOUR WORKING OR HARVING JOBS SICKNESS AND NO ONE TO HELP HER CULTIVATE SICKNESS AND OLD AGE SICKNESS COMES NATURALLY ULCERS SICKNESS DUE TO DISLOCATION OF THE HAND SICKNESS DUE TO OLD AGE SICKNESS FOR A LONG TIME SICKNESS HAS MADE HAS TO HAVE NO TIME TO CULTIVATE SICKNESS ILLNESS OF THE HOUSEHOLD HEAD SICKNESS IN THE HOUSE SICKNESS INTHE FAMILY SICKNESS MADE THE HOUSE HOLD MEMBER FAIL TO CULTIVATE SICKNESS MADE THE MEMBERS FAIL TO CULTIVATE SICKNESS OF A HOUSEHOLD HEAD SICKNESS OF ANIMALS AND RESISTANCE TO MEDICINE SICKNESS OF HEAD OF HOUSE AND HIS SON SICKNESS OF HEAD OF THE HH SICKNESS OF HOUSEHOLD HEAD CONSTANTLY SICKNESS OF HOUSEHOLD MEMBERS SICKNESS OF THE HHOLD HEAD SICKNESS OF THE HOUSEHOLD HEAD SICKNESS SO WE DINT DIG SICKNESS THAT HAS PERSISTED SICKNESS THAT STOPED ME FROM WORKING SICKNESS WHICH CAUSED THE DEATH OF THE MOTHER SICKNESS WHICH HAS PREVENTED ME FROM CULTIVATING SICKNESS WHICH RETARDS MY NORMAL AGRICULTURAL ACTIVITIES SICKNESS,DEATH OF ANIMALS,OLD AGE SICKNESS/DISEASES E.G LANG CANCER SICKNESS/OLD AGE SICKNESSAND OLD AGE,NO ONE TO HELP CULTIVATE SICNESS OF HOUSE HOLD HEAD AND SPOUSE SOME INSECTS AFFECTED THE CROPS SOME MEMBERS ARE NOT NOW PRODUCTIVE SOME WORMS DESTROYED THE BEANS TOTALLY THIS YEAR SONS WERE IMPRISONED SUNNY CONDITIONS LED TO UNTIMELY PLANTING SUNSHINE LAST SEASON WAS TOO MUCH SUNSHINE WAS A PROBLEM IN THIS AREA SUNSHINE WAS MUCH THAT MADE ITEXPENSIVE SUNSHINE WAS TOO MUCH SUNSHINE WAS TOO MUCH LAST SEASON THIS YEAR SWOLLEN LEG WHICH DOESN'T ENABLE ME TO DIG VERY MUCH THAT WAS THEIR SEASON THE BAD CLIMATIC CONDITIONS THE BAD WEATHER CHANGE THE BODY IS WEAK AND OLD AGE SO SHE CSNT DO ANYTHING BY HERSELF. THE BREAD WINNER IS SICK OF KIDNEY FAILURE THE CHANGES IN CONDITIONS LIKE NETS THE CLIMATE CHANGED DRASTICALLY THE CLIMATE HAS NOT BEEN FAVOURABLE FOR FOOD PRODUCTION THE CLIMATE WAS NOT FAVOURABLE THE CLIMATIC CONDITION DID NOT ENABLE THE CROPS YIELD HIGHLY THE CLIMATIC CONDITIONS WERE UNFAVOURABLE THE CORESPONDENTS BULL WAS STOLEN AND SPENT ALOT TO GET BACK THE COST OF LIVING IS HIGH THE CROPS ARE IMMATURE THE CROPS WERE ATTACKED BY PESTS AND BAD CLIMATE THE DEATH OF TH EHEAD OF THE FAMILY (HUSBAND) THE DEATH OF THE FATHER AND NOW IS THE MOTHER STRUGGLING A LONE THE DROUGHT HAS AFFECTED OUR AGRICULTURE PRODUCE THE FERMINE LAST SEASON THE FLODS WASHED AWAY THE CROPS THE FLOODS DESTROYED CROPS THE FLOODS WASHED AWAY THE CROPS THE HEAVY RAINS CREATED RIVERS IN THE GARDENS THE HOUSE GOT BURNT AND EVERY THING GOT BURNT IN IT THE HUSBAND HAS BEEN SICK FOR A LONG TIME,SO SHE WORKS A LONE THE HUSBAND IS WEAK DUE TO SICKNESS THE LAND IS NOT CULTIVATED THE LAND IS NOW UNFERTILE THE MAN HAS MARRIED ANOTHER WIFE WITH MANY KIDS THE MONEY MY HUSBAND HAD LEFT GOT OVER THE MOUTH IS SWOLLEN.OTHE BODY PAINS MY WAIST.I DONT SEE WEL THE OLD AGE AND ILLNESS HENCE BEING WEAK THE OUT PUT OF AGRICULTURAL PRODUCT IS LOW HENCE REDUCT IN INCOME THE PEST AFFECTED TH E CROPS THE PEST AFFECTED THE CROPS THE RAIN CAME ABIT LATE THIS YEAR THE RAIN DESTROYED THE CROPS THE RAIN HAS AFFECTED MOST OF OUR CROPS THE RAIN RETURNED LATE WHICH DID NOT FAVOUR CROP GROWN THE RAIN SWEPT AWAY CROPS IN THE GARDEN THE RAINS ARE TOO MUCH THE RAINS CAME BACK LATE THE RAINS CAME IN ABIT LATE THE RAINS CAME LATE WHICH DID NOT FAVOUR THE CROPS THE RAINS HAVE DESTROYED EVERYTHING IN THE GARDEN THE RAINS HAVE NOT BEEN CONSISTENT THE RAINS RETURNED OUT LATE THIS YEAR THE RAINS WERE ENOUGH THE RAINS WERE SO HEAVY THE RAINS WERE VERY HEAVY WHICH AFFECTED THE CROPS THE ROADS ARE NOT GOOD TO TRANSPORT GOODS FOR SALE THE SEASON IS VERY BAD BECAUSE THERE IS LOW FOOD PRODUCTION FOR SALES THE SICKNESS OF THE HEAD OF THE HOUSEHOLD THE SICKNESS OF THE SPOUSE TOOK MUCH MONEY THE SUN DESTROYED THE BEANS IN JUNE THIS YEAR THE SUN WAS VERY HOT THE SUNSHINE WAS NOT FEVOURABLE THIS YEAR THE SUNSHINE WAS TOO MUCH THROUGH OUT THE YEAR THE UNFAVOURABLE CLIMATIC CONDITION THE WEATHER IS NOT FAVOURABLE FOR HER THE WEATHER IS NOT FAVOURABLE FOR THE ANIMAL THE WEATHER WAS NOT GOOD THEINJURIES HAS MADE MY YEARS WORSE THEIR PARENTS DIED THERE ARE FEW TRADERS HENCE LOWER PRICES THERE ARE MANY BUYERS AND SELLERS OF THE SAME PRODUCT THERE HAS BEEN ALOT OF RAIN THIS YEAR THAT CAUSED ALOT OF DAMAGE THERE HAS BEEN ALOT OF RAINFALL THERE HAS BEEN ALOT OF SUNSHINE THIS YEAR THERE IS LITTLE FOOD PRODUCTION THERE IS NO ENOUGH LAND TO CULTIVATE THIS YEAR THERE IS NO WORK ESPECIALLY LABOR WE OFFER IN THE GARDENS THERE IS POOR HARVEST THERE IS TOO MUCH SICKNESS THERE WAS A PROLONGED DRY SEASON THERE WAS LITTLE RAIN THIS YEAR THERE WAS NO RAIN EARLY THIS YEAR THERE WAS TOO MUCH RAIN WHICH DESTROYED THE CROPS THERE WERE A LOT OF RAINFALL THAT MADE CROPS TO ROT THESE IS DUE TO CHANGES IN WEATHER CONDITION THEY HAVE FAILED TO FIND OUT WHAT AM SUFFERING FROM THINK IT'S BECAUSE OF THE HIGH RAINFALL THIS HAS BEEN CAUSED BY FLOOD THIS IS BECAUSE OF BAD WEATHER THERE HAS BEEN A LOT OF SUNSHINE THIS IS DUE TO MUCH SICKNESS THIS IS DUE TO OLD AGE SICKNESS THIS YEAR WE OVER WORKED TO MUCH SUNSHINE WHICH DRIED UP THE BEANS TOO MUCH SUNSHINE TOO MUCH DISEASE TOO MUCH DRY SEASON TOO MUCH FLOODS AND RAINS TOO MUCH FLOODS SO MOST OF OUR FOODWAS DESTROYED TOO MUCH RAIN TOO MUCH RAIN DESTROYING SUNFLOWER TOO MUCH RAIN SPOILING CROPS TOO MUCH RAIN WHICH HAS SPREAD MALARIA TOO MUCH RAINFALL TOO MUCH RAINFALL AND IT DESTOYED BEANS TOO MUCH RAINFALL CAME AND SWEPT AWAY OUR GARDEN TOO MUCH RAINFALL CAUSE FLOODS TOO MUCH RAINFALL HAS AFFECTED MY CROPS ALOT TOO MUCH RAINFALL MAKING BEANS NOT TO GROW WELL TOO MUCH RAINFALL SPOILT THE CROPS TOO MUCH RAINFALL THAT HAVE CAUSED THE GARDENS TO FLOOD TOO MUCH RAINFALL THIS YEAR SPOILT THE CROPS TOO MUCH RAINFALL THUS DESTROYING THE BEANS TOO MUCH RAINFALL UNFAVORABLE CLIMATIC CONDITION TOO MUCH RAINFALL WHICH DESTOYED THE BEANS TOO MUCH RAINFALL/FLLODS WHICH DSTROYED CROPS TOO MUCH RAINS TOO MUCH RAINS HENCE DESTROYING THE BEANS TOO MUCH RAINS LATELY TOO MUCH RAINS THAT FLOADED THE SWAMP WHERE RICE COULD GROW TOO MUCH SICKNESS AND BODY WEAKNESS TOO MUCH SUN AS WEL TOO MUCH SUN SHINE TOO MUCH SUN THIS MONTHS TOO MUCH SUN WHICH DESTROYED TOO MUCH SUN. RAIN CAME LATE BUT STOPPED. TOO MUCH SUNSHINE TOO MUCH SUNSHINE AND BAD RAINNY SEASON TOO MUCH SUNSHINE AND ILLNESS OF HOUSEHOLD HEAD TOO MUCH SUNSHINE AND THE CROPS ARE DRYING.THERE IS NO RAIN TOO MUCH SUNSHINE BURNT ALL THE CROPS TOO MUCH SUNSHINE DESTROYING THE GROUNDNUTS PEAS TOO MUCH SUNSHINE HENCE DRYING UP BEANS TOO MUCH SUNSHINE LAST YEAR TOO MUCH SUNSHINE THAT DAMAGED A LOT OF CROPS TOO MUCH SUNSHINE THAT DRIED ALL THE CASSAVA THAT WE PLANTED TOO MUCH SUNSHINE THAT HAS DAMAGED ALL THE PRODUCE TOO MUCH SUNSHINE UPTO APRIL THEN IN JULY TOO MUCH SUNSHINE WHICH DESTROYS CROPS TOO MUCH SUNSHINE WHICH HAS DSTROYED THE GROUNDNUTS, SIMSIM TOO MUCH SUNSHINE. CLIMATE NOT GOOD. TOO OLD TOO OLD AND SICK TOO OLD AND SICKNESS PROBLEMS TOO OLD AND THERE IS NO MONEY FOR FULL TREATMENT TOO OLD AND YET I DO ALOT OF WORK TOO OLD TO DIG,DEPEND ON MY CHILDREN TOWN COUNCIL SEIZED THE OPERATION OF HER BUSINESS TRADERS COME FROM DIFFERENT PLACES TO BUY FOOD TRADERS COME FROM DIFFERENT PLACES TO BUY FOOD HERE TREATING SICKNESSES UFAVOURABLE WEATHER ULCERS UNFAVORABLE CLIMATIC CONDITIONS UNFAVOURABLE CLIMATE UNFAVOURABLE CLIMATE BUT I HAD CULTIVATED MY LAND UNFAVOURABLE CLIMATE CONDITION IN THE AREA UNFAVOURABLE WEATHER CONDITION UNFAVOURABLE WEATHER CONDITIONS UNFERTILE LAND BECAUSE OF THE WEATHER UNFERTILE LAND,UNAVAILABILITY OF LAND TO FARM IN VERY OLD AND SICK DISABLED VERY POOR WAR WAS ILL COULD NOT CONCENTRATE ON AGRICULTURE WAS SICKLY WAT WE HAVE PLANTED IN THIS YEAR ARE NOT READY FOR CONSUMPTION WE ARE NOW GROWING OLD WE ARE NOW WEAK WE CONSUME BUT DID NOT MANAGE TO REPLANT WE HAD ALOT OF COMPETITION WE PLANTED LITTLE CASSAVA BECAUSE WE DID NOT HAVE ENOUGH MONEY WE WERE HIT BY HEAVY RAINS THAT DESTROYED OUR CROPS WEAK PHYSICALLY WEAKNESS DUE TO OLD AGE WEAKNESS DUE TO SICKNESS WEAKNESS IN BODY, DISEASE THAT LEAD TO HIGH EXPENDITURE WEATHER CHANGES WEATHER WAS NOT FAVOURABLE WENT TO LOOK FOR GREENER PASTURES WHAT WE HAVE IN THE GARDEN ARE STILL YOUNG WIFE IS SICK AND OLD WIFE WAS SICK FOR ONE MONTH AND EVENTUALLY DIED hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? hh10 q3:why is your household worse off than a year ago - code? 1522 2458 1 loss of productive household member (death) 2 loss of productive household member (leaving hh) 3 illness/injury of household member 4 loss of hhs own animals 5 loss of hhs own land or water resources 6 loss of access to land, water or other natural resources for production 7 loss of other productive assets (tools, machinery etc) 8 less income or loss of job 9 less income from animal husbandry, fishing or farming – lower volume of production 10 less income from animal husbandry, fishing or farming – higher costs or lower sales prices 11 less income from animal husbandry, - lower volume of sales 12 less income from other houseold business 13 increased number of dependents 14 large expenditure due to ill health or death of hh member (inc funeral) 15 large expenditure on social obligations 16 increased cost of food 17 increased cost of fuels, transport or other necessities 18 debt repayments 19 loss of aid (ex. ngo programme finishing) 97 other (specify) 98 Sysmiss hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? hh10 q3:why is your household worse off than a year ago - other? 2561 . A LOT OF RAIN THAT DETROYED OUR CROPS AGE AM ALONE IN THE HOUSE AM GETTING OLD ANIMALS DESTROYED CROPS ANIMALS DISEASES ASSETS REDUCING CONTINUOUSLY BAD ROAD BAD ROADS BAD ROADS TO THE MARKET BAD WEATHER THAT AFFECTED THE CROPS BANK TOOK OVER THE HOUSEHLD PROPERTY BIG FAMILY BODY WEAKNESS AND LESS LABOUR FOR CULTIVATION CANT AFFORD SEEDS CHANGE OF WEATHER AND OLD AGE COMPETITION INCREASED COSTLY RENTING LAND FOR FARMING CROPS ARE DYING IN GARDENS CULTIVATED BEANS TOGETHER WITH THE CASSAVA CULTIVATED LATE DEATH OF HIS SON WHO HAD MANY CHILDREN DEATH OF HUSBAND DEATH OF MY DAUGHTER DEATH OF PARENTS KIDS DEATH OF THE HUSBAND DECREASE IN MONEY VALUE. CANT MAKE ANY SAVINGS. DISEASE,WEAKNESS IN DIGGING DISEASES DIVORCE Y THE PARENTS DOMESYTIC ANIMALS DESTROYED THE CROPS DON'T KNOW DUE TO LACK OF ENOUGH LABOUR OXEN EDUCATION FARMING WITHOUT USING MACHINES IS TIRESOME FEES FERTILE SOIL FLOODS AFFECTED THE CROPS FLOODS AND LOSS OF LAND FLOODS WASHED AWAY THE CROPS GETTING OLD GETTING WEAK DAY BY DAY GOT THE BULLS FOR CULTIVATION BUT WHAT THEY CULTIVATED WAS AFFECTE GOVERNMENT HAS MADE THIS YEAR WORSE HEAD OF HHOLD HAD AN ACCIDENT HAMPERED THE NORMAL FUNCTIONING HEAD OF THE HOUSEHOLD DOES NOT WORK SINCE HE IS VERY OLD HIGH SCHOOL FEES BURDEN HIGH TAXES HOUSEHOLD HEAD IS VERY OLD AND CANT SUSTAIN THE BIG HOUSEHOLD HUNGER I AM SICK AND CANNOT CULTIVATE BECAUSE STOMACH IS SWOLLEN I DID NOT GET THE MONEY I WANTED I HAVE A LOT OF DEPENDANTS NOW. I HAVE M,ANY ORPHANS GRAND CHILDREN IMPRISONMENT OF MAIN INCOME EARNER(HUSBAND) INCREASE IN NUMBER OF SCHOOL GOING CHILDREN INCREASE IN THE NUMBER OF CHILDREN IN HIGH SCHOOLS INCRESE IN SCHOOL FEES FOR THE CHILDREN INFLATION INFLATION AND DEPENDENTS IT WAS A BAD SEASON WHERE PEST WHERE SO MANY LACK OF CAPITAL TO RE-INVENT IN THE LAND LACK OF ENOUGH LABOR/OXEN LACK OF FARMING MANPOWER LACK OF GARDENING TOOLS LACK OF LAND LACK OF LAND FOR THE FAMILY LACK OF LAND TO CULTIVATE LACK OF MAN POWER TO PRODUCE AGRICULTURAL PRODUCTS LACK OF MARKET FOR PRODUCE LACK OF PETTY JOBS LACK OF WHAT TO BE CULTIVATED LACKED WHAT TO DO AS A RESULT OF BEING ROBBED LAND FRAGMENTATION(DIDN'T GET LAND DURING DIVISION) LAND SHORTGAGE LAND WAS GIVEN FREELY BY ELDER BROTHERS LAST YEAR THEY WERE GIVEN FREE LAND UNLIKE THIS YEAR LESS FERTILE SOILS LESS LABOUR IN THE AGRICULTUR FIELD LOSS OF A JOB BY THE HOUSEHOLD HEAD LOW DEMAND LOW PRODUCTION, NO MACHINERY TO PRODUCE MOST OF THEM ARE REPEATING CLASSES MY HUSBAND LEFT ME WITH MY CHILDREN AND NATURE NATURE CAUSE NIFERTILE LAND LOW CAPITAL NO ABILITY TO GET RESOURCES FOR PRACTISING AGRICULTURE NO CAPITAL TO START ANY BUSINESS NO EDUCATION NO FARM LAND NO JOB AT ALL(CATTLE KEEPER) NO JOBS AT THE MOMENT NO LAND FOR AGRICULTURE NO LAND FOR CULTIVATION NO LAND FOR US TO FARM NO LAND TO CULTIVATE NO MONEY FOR US TO RENT LAND NO MONEY, NO RAINFALL NO ONE HAS A GOOD JOB TO EARN THEM MONEY FOR A LIVING IN THE HOUSE NO ONE TO HELP ME DIG MY GARDEN NO OXPLOUGH (POVERTY) NO PROPER RAINFALL NO RAINFALL NO SALES,NO BUSINESS OLD AGE OVER PRODUCTION OVER SUNSHINE PLANTED FEW CROPS THIS YEAR PLANTED LATE LEADING TO LOW PRODUCE POOR FARMING METHODS POOR SOILS DUE TO OVER CULTIVATION POOR TRANSPORT POOR YIELDS POOR YIELDS,DISEASES AND LACK OF MONEY POVERTY PRICE FRACTUATION PRICE OF COMMODITIES IS POOR RED ANTS ENTERED THE HOUSE ON TRYING TO BURN THEM I BURNT MY HOUSE SHE DID'NN PLAN WELL TO DO TIMELY PLANTING OF CROPS SHE WORKS ALONE SHORT OF LAND , LAND GRABING T LAST YEAR THE CHILD BURNT THE HSE THE FLOODS WASHED AWAY THE CROPPS THE FLOODS WASHED AWAY THE CROPS THE GARDEN IS NOW NOT PRODUCTIVE ENOUGH THE HOUSEHOLD MEMBER IS TOO OLD TO CULTIVATE THE SOIL IS EXHAUSTED THE STOCK GOT FINISHED THE SUNFLOWER WAS OF LOWER PRICES THE WEATHER AND INADEQUATE OF MONEY THEFT THEFT OF PROPERTY AND LIVESTOCK THEFTY THERE IS NO ENOUGH SECURITY IN THIS VILLAGE THERE WAS ALOT OF DEATH AND I HAD TO ATTEND TO THEM THERE WAS NOTHING TO CULTIVATE TOO MANY CHILDREN TO LOOK AFTER TOO OLD AND WEAK TO WORK AND EARN A LIVING UNFAVARABLE MARKETING UNFERTILE SOIL USED FOR MARRIAGE WATER FROM THE LAKE HAS FLOODED THE GARDEN. WATER FROM THE SWAMP DESTROYED THE CROPS WE HAVE SHORTAGE OF WATER FOR DRINKING WITCHCRAFT hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? 3898 . A HAVE BOUGHT A LAND AND STARED BUILDING A HOUSE A LOT OF FARM PRODUCE ARE REALIZED A YEAR AGO THERE WAS NOT ENOUGH TO EAT A YEAR AGO THERE WAS NOTHING TO EAT DUE TO LOW PRODUCTION A YEAR AGO WE HAD ILLNESS WE COULDNT FARM ABLE TO GET FOOD UNLIKE BEFORE ABLE TO GET GOOD HARVEST FROM AGRICULTURE ABLE TO HAVE A GOOD HARVEST ABLE TO MEET FAMILY DEMANDS ABLE TO MEET FAMILY NEEDS ABLE TO OBTAIN FOOD DUE TO AGRICULTURE THIS YEAR THAT IS O.K ADEQUATE FOOD AGRICULTURAL PRODUCTION IS HIGH THIS YEAR COMPARED TO LAST YEAR AGRICULTURAL PRODUCTION MUCH HIGHER, NO MAJOR SICKNESS AGRICULTURAL WERE SOLD AND THE MONEY BE USED TO MEET HH NEEDS AGRICULTURE AGRICULTURE HAS BOOSTED UP SO ABLE TO GET FOOD AGRICULTURE PRODUCTION IS HIGH AID FROM GOVERNMENT AM ABLE TO GET FOOD TO EAT AS THE HARVEST WAS GOOD BECAUSE OF GOOD WEATH AM BETTER BECAUSE MY HEALTH IS IMPROVED AND I CAN NOW DO SOME WORK AN INCREASE IN INCOME AT THIS YEAR I HAVE FOOD TO EAT COMPARED TO LAST YEAR ATLEAST THIS YEAR WE HAVE FOOD IN THE GARDEN ATLEAST WE HAVE ABETTER HARVEST THIS YEAR AVAILABILITY OF FOOD BECAUSE I'VE GOT ENOUGH HARVEST THAT HAS IMPROVED MY LIFE BEEN ABLE TO WORK ON HOUSEHOLD FARM BETTER ACCESS TO LAND OR OTHER NATURAL RESOURCES FOR PRODUCTION BETTER ACCESS TO LAND WATER RESOURCES BETTER ACCESS TO WATER AND OTHER NATRAL RESOURCES BETTER AGRICULTURAL HARVEST BETTER AGRICULTURAL PRODUCTION BETTER AGRICULTURAL PRODUCTS BETTER FOOD PRODUCTION BETTER HARVEST THIS YEAR BETTER HERVEST COMPARED TO LAST YEAR BETTER PAYING JOB BETTER PRODUCTION IN THE FIELD OF AGRICULTURE BETTER PRODUCTION OF MAIZE BETTER PRODUCTION YIELDS BETTER VOLUME OF AGRICULTURAL PRODUCTION BETTER YIELD BETTER YIELDS BOUGHT 3 GOATS AND 3 CHICKEN BOUGHT A COW BOUGHT LAND BOUGHT LIVESTOCK ,INCREASE IN AGRICULTURE BOUGHT LIVESTOCK AND FOOD PRODUCTS BOUGHT LIVESTOCK, INCREASE AGRICULTURAL INPUTS BUMPER HARVEST CAN AFORD BASIC NEEDS ATHOME CAN MAKE SAVINGS AND HAVE FOOD SECURITY CHILDREN HAVE BETTER HEALTH THIS YEAR COMPARED TO LAST YEAR,GOOD HARVEST CHILDREN HAVE FINISHED SCHOOL AND ARE HELPING ME CHILDREN SUPPORT HER WITH MONEY,AGRICULTURE PAYING SCHOOL FEES CROPS ARE DOING WELL THIS YEAR CROPS NOT HARVESTED BECAUSE IT WAS NOT READY THIS YEAR IT HAS BLOSSOMED CROPS WERE DESTROYED BY ANIMALS DAD GOT A BETTER PAYING JOB DOING AGRICULTURE AND FARMING DUE TO IMPROVED INCOMES FROM BUSINESS AND INVESTMENTS MADE ENOUGH FOOD ENOUGH FOOD IN THE HOUSE ENOUGH RAINS AND NO FOODS AS COMPARED TO LAST YEAR ESTABLISHED A BUSINESS SO AM ABLE TO EARN MONEY FAIR HARVEST FAIR HARVEST THIS YEAR AND RELIEF FROM WFP FARM PRODUCTS ARE BETTER THIS YEAR FARMING FARMING ACTIVITIES HAVE IMPROVED FAVORABLE CLIMATIC CONDITIONS. NO MAJOR SICKNESS. FAVOURABLE WEATHER HENCE GOOD HARVEST FERTILE SOIL FOR CROPS FOOD INCREASE IN OTHER HOUSEHOLDS FOOD IS AVAILABLE FOOD IS THERE IN PLENTY FOOD PRODUCTION IS THERE BUT LAST YEAR SHE WAS SICK THROUGHOUT GOATS AND COWS HAVE INCREASED IN NUMBER GOOD AGRICULTURAL PRODUCTION GOOD CLIMATE HAS MADE THE CROPS GROW HELP FROM GOVERNMENT GOOD FOOD YIELD THIS YEAR GOOD HARVEST GOOD HARVEST AMONG COMMUNITIES WHICH HAS RESULTED TO LOW COST OF FOOD GOOD HARVEST AND RELIEF PROVIDED BY WFP GOOD HARVEST FROM THE AGRICULTURAL PRODUCTS GOOD HARVEST HIGH CROP PRODUCTION GOOD HARVEST REPUTING FROM GOOD WEATHER GOOD HARVEST THIS YEAR GOOD HARVESTS GOOD HATVEST GOOD HERVEST GOOD RAIN HAVE BROUGHT GOOD HARVEST GOOD RAINS BROUGHT ABOUT GOOD HARVEST GOOD RAINS HENCE GOOD HERVEST GOOD SECURITY WHICH MADE THEM CULTIVATE GOOD WEATHER AND RAINS THAT HAVE MADE GOOD HARVEST GOOD WEATHER FAVOURABLE FOR FARMING GOOD YIELD FROM FARMING GOPOD WEATHER THIS YEAR HAS IMPROVED CROP YIELDING GOT ENOGH MONEY TO TAKE CARE OF MY FAMILY FROM MY BUSINESS HAD ALOT OF CROP YIELDS HAD BETTER HARVEST THIS YEAR HAS BOUGHT SOME CATTLE WHICH HAVE IMPROVED LIVING STDS HAVE BEEN WEAK THIS YEAR HAVE HARVESTED A LOT AND THIS YEAR THUS REDUCED HUNGER HAVE RECEIVED INCREASED INCOME FROM PRODUCES HAVING ENOUGH FOOD HE HAS CASSAVA PLANTATION WHICH HE USES AND SALE TO GET SOME MONEY HE OVERWORKED LAST YEAR AND IS NOW ONLY HARVESTING AND ENJOYING HEAVY RAINFALL GOOD FOR HER CROPS HGH PRODUCE E.G BEANS HIGH AGRICULTURAL OUTPUT HIGH AGRICULTURAL PRODUCE HIGH AGRICULTURAL PRODUCE EG BEANS,MILLET HIGH AGRICULTURAL PRODUCE E.G BEANS,MAIZE,CASSAVA,PEAS HIGH AGRICULTURAL PRODUCE EG BEANS,MAIZE,CASSAVA,POTATOES ETC HIGH AGRICULTURAL PRODUCE EG MAIZE HIGH AGRICULTURAL PRODUCT HIGH AGRICULTURAL PRODUCTION HIGH AGRICULTURAL PRODUCTS HIGH CROP PRODUCTION AMONG THE COMMUNITY MEMBERS HIGH FOOD PRODUCTION HIGH FOOD PRODUCTION OUT OF HIS CLTIVATED LAND HIGH LEVEL OF PRODUCTION HIGH PRODUCE HENCE GIVING ME MONEY/INCOME HIGH PRODUCE OF GROUNDNUTS AND BEANS HIGH PRODUCTION FROM THE FARM BECAUSE OF GOOD WEATHER HIGH PRODUCTION OF AGRICULTURAL FIELDS HIGH PRODUCTION OF AGRICULTURAL PRODUCE EG CASSAVA AND BEANS HIGH PRODUCTION OF GROUNDNUTS HIGH PRODUCTION OF MAIZE HIGH VOLUME OF AGRICULTURAL PRODUCE HIGH VOLUME OF PRODUCTION HIGH YIELDS HIGH YIELDS AND ACQUIRED LIVESTOCK HIGH YIELDS DUE TO RAIN HIGHER AGRICULTURAL OUT PUT HIGHER AGRICULTURAL OUTPUT HIGHER AGRICULTURAL PRODUCE HIGHER AGRICULTURAL PRODUCE ESPECIALLY BEANS HIGHER AGRICULTURAL PRODUCTION HIGHER AGRICULTURAL PRODUCTION EG BEANS HIGHER AGRICULTURAL PRODUCTION EG GROUNGNUTS HIGHER AGRICULTURAL PRODUCTION EG MAIZE HIGHER CROP PRODUCTION HENCE MORE INCOME. HIGHER CROP YIELDS FROM HOUSEHOLDS HIGHER PRODUCTION HIGHER PRODUCTION OF AGRICULTURAL PRODUCE HIGHER PRODUCTION OF AGRICULTURAL PRODUCE E.G MAIZE HIGHER PRODUCTION OR INCREASE IN AGRICULTURAL PRICE HIGHER PRODUCTION THIS YEAR HIGHER YIELDS HIS CROPS ARE DOING WELL NOT LIKE LAST SEASON WHEN THE SUN WAS TOO MUCH HOUSE HOLD MEMBER GOT A JOB WITH BETTER PAY HUNGER WAS THE PROBLEM LAST YEAR I AM ABLE TO GO TO WORK ON PEOPLE'S FARM DAILY I AM BUILDING A NEW HOUSE AND I HAVE BOUGHT LAND I AM IN A POSITION TO MEET THE HH NEEDS THROUGH GOVERNMENT I BUILT A HOUSE MYSELF I CAN MANAGE TOM FIND FOOD EASILY THIS TIME I DID A GOOD HARVEST I DID ALOT OF PLANTING THIS YEAR I DO FARMING WHICH GIVE ME YIELDS I DON'T PAY RENT HENCE REDUCED ACCOMODATION EXPENSES I DONT BUY FOOD THIS YEAR FROM THE MARKET I GOT MORE HARVEST I GOT OVER THE DEATH OF MY HUSBAND WHO DIED LAST YEAR I HAD A GOOD CASSAVA PRODUCE THAT YEAR I HARVESTED ENOUGH FOOD I HAVE ALOT OF PRODUCTION FROM AGRICULTURE I HAVE BEEN ABLE TO CONSTRUCT A NEW HOUSE THIS YEAR I HAVE BOUGHT MORE LAND I HAVE ENOUGH BEANS AND CASSAVA AND MAIZE I HAVE IMPROVED ABIT ATLEAST I CAN DIG IN MY FARM. HAVE ALSO HARVESTED I HAVE JUST BUILT THAT NEW HOME I HAVE LOT OF FOOD LIKE BEANS ,GROUNDNUTS I HAVE MANAGED TO RARE CHICKEN AND PIGS I HAVE PLANTED CROPS UNLIKE LAST YR I HAVE SOME MONEY FOR FEES AND OTHER FOODS I HOD GOOD YIELDS THIS YEAR I MANAGED TO RENT A FARM TO CULTIVATE AND EARN A LIVING I MANAGED TO BUY NEW IRON SHEETS AND COMPLETED MY HOUSE I PLANTED SOME SIMSIM BUT LAST YEAR I DIDNT CULTIVATE ANYTHING I SOLD MY COW AND BOUGHT LAND I WAS ABLE TO CULTIVATE THIS YEAR AS COMPARED TO LAST YEAR DUE TO ILLNES I WAS ABLE TO HARVEST ATLEAST TWO BASINS OF BEANS COMPARED TO LAST YEAR I WAS ABLE TO HARVEST SOME GOOD CROPS THIS YEAR I WAS SOO SICK LAST YEAR IMPROVED HARVEST IMPROVED HERVEST IMPROVED INCOME AND INCREASE IN HOUSEHOLD ASSETS AND INCRESED PRODUCTION IMPROVED ON WORKING IMPROVEMENT IN CULTIVATION INCREASE FOOD PRODUCTION INCREASE IN AGRICULTURAL PRODUCE INCREASE IN AGRICULTURAL PRODUCT INCREASE IN AGRICULTURAL PRODUCTION INCREASE IN CROP PRODUCTION INCREASE IN FARM PRODUCTION INCREASE IN FOOD PRODUCTION INCREASE IN INCOME INCREASE IN INCOME AS HE IS ABLE TO PAY HOUSEHOLD NEEDS INCREASE IN NUMBER OF QUALITY LABOUR INCREASE IN PRODUCTION INCREASE IN PRODUCTION AGRICULTURE INCREASE IN PRODUCTION IN FARMING INCREASE IN PRODUCTION,SHE WAS SICK,GOT HELP FROM NGO INCREASE IN YIELDS AND ANIMALS INCREASE INCOME FROM AGRICULTURAL PRODUCTION INCREASE INCOME FROM ANIMAL HUSBANDRY AND FISHING INCREASE INCOME FROM HOUSEHOLD BUSINESS INCREASE MAIZE AND PUMKIN PRODUCTION INCREASE NUMBER OF ANIMALS BOUGHT INCREASE OF ANIMAL IN THE HHOLD INCREASE OF PRODUCE BECAUSE OF NAADS INCREASE PRODUCTION INCREASE PROFITS OF HUSBANDS BUSINESS INCREASED AGRICULTURE AND CHILDREN EDUCATION INCREASED FARM PRODUCE INCREASED FOOD PRODUCTION INCREASED HARVEST INCREASED IN ANIMALS OWNED INCREASED IN NUMBER OF ANIMALS AND ALSO AGRCULTURAL PRODUCTS INCREASED INCOME DUE TO PEURCHASE OF LIVESTOCK INCREASED INCOME FROM AGRICULTURAL PRODUCE INCREASED INCOME FROM ANIMAL HUSBADRY,FISH FARMING INCREASED INCOME FROM FARMING INCREASED INCOME FROM HOUSE HOLD BUSINESS INCREASED INCOME FROM THE GOAT SOLD INCREASED LABOUR INCREASED LABOUR THE GIRLS ARE AT HOME INCREASED ON MY NICOME INCREASED SALES IN BUSINESS INCRESED FOOD PRODUCTIONFROM HOUSEHOLD IT IS BETTER BECAUSE SHE IS A MEMBER OF NAADS IT RAINS AND THIS HAS MADE THE CROPS TO YIELD VERY WELL ITS A RAINY SEASON AND THERES ALOT OF VEGETABLES ITS TIME FOR HERVEST AND LITTLE FOODD TO FEED ON LAST YEAR FLOODS DESTROYED CROPS BUT THIS YEAR I HARVESTED ENOUGH LAST YEAR I GOT ONLY 1 BASIN OF BEANS THIS YEAR I GOT 1 SACK LAST YEAR THERE WAS NO FOOD AND COULD GO HUNGRY THE WHOLE DAY LAST YEAR THERE WAS NO FOOO LAST YEAR THERE WERE PEOPLE WHO OFFERED HELP LAST YEAR WE LOST SO MANY OF OUR RELATIVES LESS HOUSEHOLD EXPENDITURE SO REDUCED DEPENDENCY BURDEN LITTLE SORGHUM HARVEST THIS YEAR LOOKED FOR OTHER SOURCES OF INCOME TO GET MONEY LOT OF RETURNS FROM AGRICULTURAL OUTPUT MANAGED TO TAKE MY KIDS TO SCHOOL MORE ANIMALS, PROPER HARVEST MORE HARVEST AND GREEN VEGETABLES MORE INCOME FROM FARMING ENABLED HIM BUY A COW MORE INCOME GOT IN THE HOUSEHLD MORE MONEY INLFOW FROM HOUSEHOLD BUSINESS MORE PRODUCE FROM FARM MORE WAGE EMPLOYMENT IN THE AREA DUE TO BUMPER HARVEST MOST OF MY TIME IS SPENT DIGGING SO HAVE ENOUGH FOOD MUCH MORE YIELD FROM THE FARM PRODUCE MUCH PRODUCTION HENCE ALOT OF SALE MY BROTHER HAS GIVEN ME IRON SHEETS AND I HAVE STARTED BUILDING MY CROPS HAD SOME GOOD YIELD AND I RENTED A GOOD PIECEOF LAND MY HOUSEHOLD MEMBERS ARE NOW HEALTHY NEW HOUSE, NEW CHAIRS AND FOOD IN PLENTY NO LONGER BUYING FOOD NO SICKNESS,GOOD HARVEST NUSAP,NAADJ,DISTRICT LEVEL SUPPORT ONE MEMBER FELL SICK HENCE REDUCING THE MAN POWER PLANTED FOOD PRODUCTION THAT MAKES HIM BETTER OFF THAN LAST YEAR PLANTED MAIZE AND IT HAS HELPED ME A LOT. I SELL MAIZE AND BUY MEDICIN PRODUCE ENOUGH FOOD AND SOLD SOME PROPER YIELD OF CROPS,GOOD HARVEST FROM FISHING PURCHASE / INVESTMENT IN OTHER PRODUCTIVE ASSET RECEIVED AN AID AND BOUGHT SAM ANIMALS REDUCED COST OF ITEMS LIKE FOOD COMPARED TO A YEAR AGO RELIEF GIVEN BY SAMARITAN SPARS (NGO) RELIEF GIVEN TO THEM SHE HAD ENOUGH FOOD COMPARED TO WHEN SHE LOST THE HUSBAND SHE IS GETTING BETTER AFTER OPERATION SHE IS HEALTHIER COMPARED TO A YEAR AGO CAN CULTIVATE ON HER OWN SHE WAS AQUIRING SAM BILLS TO HELP HER WITH FARM WORK SOLD GOATS AND PIGS SOME BETTER HARVEST THIS YEAR AND RELIEF SOME FOOD IS AVAILABLE FROM THE RECENT HARVEST SOME INCREASE IN INCOME FROM BUSINESS SOME LITTLE SORGHUM HAS BEEN HARVESTED THIS YEAR SOME MONEY IS REALISED FROM MY HUSBANDS BUSINESS SOME RELIEF GOT FROM THE NGO's SPENDS LESS ON MEDICAL CARE AND FOOD SINCE MUM LEFT TO VISIT MY SISTER STARTED A BUSINESS THAT RAISED THE INOME OF OUR HOUSEHOLD STARTED FISHING,LARGE SCALE FARMING,KEEPING LIVESTOCK STUDYING CHILDREN, PRODUCTIVE RENTAL LAND SUPPORT FROM MY SON AS I RECOVER FROM SLEEPING SICKNESS SUPPORT FROM THE DAUGHTERS AND RELIEF THE AGRICULTURAL PRODUCTION HAS INCREASED AS THIS THIS HAS RESULTED THE BOXES HE MAKES ARE BOUGHT SO FAST THE BUSINESS MAKES ALOT OF INCOME THE CROPS ARE DOING WELL IN THE GARDEN THE CROPS HAVE DONE MUCH BETTER THIS YEAR THE FOOD IS PROVIDED BY THE NCIOS(SAMARITAN'S PURSE) THE GOOD HERVEST THE H/HEAD GOT A JOB THE HARVEST HAS BEEN A LITTLE BETTER THIS YEAR COMPARED WITH LAST YEAR THE HARVEST HAS BEEN GOOD THE HARVEST HAS BEEN GOOD THIS YEAR COMPARED TO A YEAR AGO THE HARVEST HAS BEEN MUCH BETTER THIS YEAR THE HARVEST IS MUCH BETTER THE HARVEST IS MUCH BETTER THAN LAST YEAR THE HARVEST OF THIS YEAR WAS BETTER THAN A YEAR AGO THE HARVEST THIS YEAR HAS BEEN FAR BETTER THAN LAST YEAR THE HARVEST THIS YEAR HAS BEEN BETTER THAN LAST YEAR THE HARVEST THIS YEAR HAS BEEN GOOD COMPARED TO LAST YEAR THE HARVEST WAS A LITLE BETTER OFF COMPARED TO LAST YEAR THE HARVEST WAS BETTER COMPARED TO LAST YEAR THE HARVEST WAS BETTER THAN LAST YEAR THE HARVEST WAS GOOD GOT LOTS OF GROUNDNUTS THE HARVEST WAS MUCH BETTER THAN LAST YEAR THE HARVEST WAS POOR A YEAR AGO COMPARED TO THIS YEAR THE HERVEST IS BETTER THAN LAST YR THE HHOLD HAS INCOME TO MEET THE NEEDS THE HOUSE IS DOING BETTER INTERMS OF EDUCATION AND CROP PRODUCTION THE RAIN S HAVE BEEN ENOUGH WHICH FAVOURED A GOOD HARVEST THE RAINY SEASON THERE IS FOOD OR VARIOUS VEGETABLES TO FEED ON THE SEASON HAS BEEN PRODUCTIVE THE TOTAL LABOR HAS INCREASED THUS HIGH QUALITY THERE ARE ANIMALS AND ENOUGH WATER TO DRINK THERE HAS BEEN ALOT OF BEANS THERE HAS BEEN ALOT OF YIELD FROM THE FARM AND GOT ENOUGH TO SELL THERE HAS BEEN GOOD HARVEST AMONG PEOPLE THERE IS ACCESS TO FOOD DOR EATING COMPARED TO LAST YEAR THERE IS ACCESS TO FOOD THIS YEAR THERE IS ALOT OF FOOD IN THE FARMS THERE IS ALOT OF PRODUCTION IN TERMS OF FOOD THERE IS ATLEAST SOME HERVEST THERE IS BETTER HARVEST THERE IS BETTER HARVEST THIS YAER THERE IS BETTER HARVEST THIS YEAR THERE IS ENOUGH FOOD FOR THE FAMILY THIS YEAR THERE IS ENOUGH RAIN WHICH WILL LEAD TO GOOD HARVEST THERE IS FOOD AT HOME COMPARED TO LAST YR THERE IS GOOD HARVEST THIS YEAR THERE IS GOOG YIELD THERE IS HIGH FOOD PRODUCTION REALIZED THERE IS HOGH PRODUCTIVITY FROM THE GARDEN THERE IS IMPROVED HARVEST COMPARED TO LAST YEAR THERE IS LITTLE HARVEST THERE IS SAME HARVEST YHIS YEAR THERE IS SAME LITTLE HARVES THERE IS SOME FOOD IN THE GARDEN THERE IS SOME FOOD/GREEN VEGETABLES THERE IS SOME LITTLE FOOD HARVESTED THERE IS SOME LITTLE HARVEST THERE IS SOME LITTLE SORGHUM HARVESTED THERE WAS ENOUGH FOOD PRODUCED FROM THE GARDENS THERE WAS NO BUSINESS (BREWING )LAST YEAR AND HUNGER WAS SEVERE THEREM IS SOME LITTLE SORGHUM HARVESTED THIS YEAR THERES SOME FOOD DONATION RECEIVED THEY BROUGHT MORE AID PROJECTS IN THE AREA THEY NOW HAVE LAND THIS IS GOOD RAINS TO PLANT THIS WE CULTIVATD BIG LAND, BOUGHT PIGS, AND POULTRY THIS YEAR ATLEAST SHE MANAGED TO PLANT SOME CROPS THIS YEAR IS GOOD COMPARED TO LAST YEAR WHEN WE'RE AFFECTED BY FLOODS THIS YEAR ITS ALITTEL BETTER BECAUSE SOME SOGHUM HAS BEEN HARVESTED THIS YEAR NAADS GAVE ME GROUNDNUTS SEEDS TO PLANT & TWO HOES FOR FARMING THIS YEAR SHE GOT RELIEF FOOD FROM NGOS THIS YEAR THE HEALTH OF FAMILY MEMBERS HAS IMPROVED THIS YEAR THERE IS FOOD TO EAT THIS YEAR THERE IS SOME AID THIS YEAR THERE IS SOME FOOD FROM FARMING THIS YEAR WILL BE BETTER BECAUSE I PLANTED SUNFLOWER WAS ABLE TO GET GOOD HARVEST WE DONT BUY FOOD COMPARED TO LAST YEAR WE ENGAGE IN JOBS THAT EARN THEM SOME INCOME WE HAVE A GENERATOR AND TWO VEHICLES WE HAVE ALOT OF CROPS IN THE GARDENS AND THEY ARE DOING WELL WE HAVE GOOD HARVEST THIS YEAR WE HAVE GOTTEN A LOT FROM THE HARVEST WE HAVE GROWN ALOT OF FOOD WE HAVE HARVESTED ALOT OF GROUNDNUTS WE HAVE LIVESTOKE THATS WHY LIFE IS BETTER WE HAVE MANAGED TO AQUIRE SOME ANIMALS WE HAVE SOME FOOD TO EAT WE NOW HAVE WHAT TO EAT COMPARED TO LAST YEAR WE PLANTED ALOT OF CASSAVA AND EVEN SIMSIM FOR THE MEMBERS OF THE HOUSE WE PROPDUCED ENOUGH FROM THE GARDEN TO SELL WE ROOFED OUR HOUSE WE USED TO RENT AND BUY FOOD ITEMS BUT NOW WE GET FROM OUR OWN GARDEN WEMEN HAS HELPED ME IN TRAINING VARIOUS INVESTMENTS WORKING HARDER THAN LAST YEAR hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? 484 3496 1 increase in number or quality of labour (hh members) 2 increase in animals owned 3 increase in hhs own land or water resources 4 better access to land, water or other natural resources for production 5 purchase/investment in other productive assets 6 hh member got a (better) job / better paid 7 increaed income from animal husbandry, fishing or farming – higher production 8 increased income form animal husbandry, fishing or farming – lower input cost, higher sales prices 9 increased income from household business 10 aid project (ex. new ngo programme) 11 lower food costs 12 lower other living costs 13 decreased number of dependents 14 more support from remittances / other households 15 more support form formal aid (gov’t, ngo, religious) 16 sage programme transfers 97 other (specify) 98 dk/na Sysmiss hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? 3486 . A YEAR AGO CROPS WERE DESTROYED BY PEST ALOT FOOD PRODUCTION THIS YR AVAILABILITY OF FOOD DUE TO FAVOURABLE CONDITIONS BUILT A HOUSE ENOUGH FOOD TO EAT FAIR RAINNY CLIMATE SEASON THIS YEAR GOOD RAINS GRAND SON OFFERS FINANCIAL SUPPORT HAVE MANAGED TO COMPLETE MY HOUSE AND MAKE IT BETTER HAVING SUFFICIENT INCOME TO MEET THE HOUSEHOLD NEEDS HIGH YIELDS I HAVE ACQUIRED MORE HOUSEHOLD ITEMS I HAVE BUILT MY OWN HOUSE I HAVE PLANTED TEA THIS YEAR I LIVE IN A ABETTER HOUSE KNOW I MANAGED TO BUILD T ANEW HOME I USED TO EAT ONE MEAL A DAY BUT NOW I CAN AFFORD TWO MEALS INCREASE AGRICULTURAL PRODUCTION, SOLD CROPS AND BOUGHT ANIMALS LACK OF COOPERATION BETWEEN PARENTS AND CHILDREN LAST YEAR THERE WAS FAMINE MY CHILDREN TAKE CARE OF ME VERY WELL NOWADAYS I TRY AND SAVE SOME MONEY RAINFALL,PROPER CROP YIELDS REDUCES ILNESS AND ILLNESS,INCREASE IN AGRICULTURAL LABOUR REDUCTION ON THE ILLNESS AND SICKNESS OF TB THE HHOLD HAS SUFFICIENT MONEY TO MEET THEIR NEED THE SICK CHILD MENTALLY RETARDED IS GETTING BETTER THERE HAS BEEN A RELIABLE RAINFALL THAT FAVOURED CROPS THERE HAS BEEN A RELIABLE RAINFALL THROUGH OUT THERE HAS BEEN RAIN FALL THROUGHOUT THE YEAR THUS ENOUGH FOOD THERE IS ENOUGH FOOD STAFF THERE IS ENOUGH FOOD STAFF IN TH ESTUFF THERE IS ENOUGH FOOD STUFF THERE IS SAME FOODLIKE GREEN VEGETABLE THIS YEARS THERE IS SECURITY THERE IS SOMETHING TO EAT FOR THE FAMILY THIS YEAR HH MEMMBER 02 IS NOT VERY SICK LIKE LAST YEAR THIS YEAR MY COWS WERE STOLEN WE HAVENT FALLEN SICK SO MUCH hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? hh10 q4: why is your household better off than a year ago - description? 3827 . A GOOD CLIMATE AND HARD WORK ABANDUNT RAINFALL ABUNDANT RAINFALL ADEQUATE RAIN ADEQUATE RAINFALL ADEQUATE RAINS ADOPTION OF MODERN FARMING METHODS ADVERSE CLIMATE ADVERSE CLIMATIC CONDITION ADVERSE CLIMATIC CONDITIONS AID FROM INTER RELIGIOUS COUNCIL OF UGANDA, GOOD CLIMATE AID PROJECTS AVAILABLE IN THE AREA ALOT OF RAIN ALOT OF RAINFALL AMPLE RAIN AMPLE RAINFALL AMPLE RAINS AVAILABILITY OF ENOUGH RAINFALL AVAILABILITY OF NGOS IN MOROTO AND FAVOURABLE CLIMATE AVAILABILITY OF PROJECTS IN THE AREA AVAILABILITY OF RAINFALL AVAILABILITY OF RESOURCES AVAILABILITY OF RESOURSES TO START BREWING AVAILABILTY OF RAINFALL AVAILABLE RAINFAL THIS AGRICULTURAL SEASON AVAILABLE RAINFALL AVALIABILITY OF RAIN THIS YEAR BECAUSE OF ENOUGH RAIN THIS SEASON BECAUSE OF THE RAINS BEING A RAINNY SEASON I ENGAGE IN AGRICULTURE TO MEET MY BASIC NEEDS BENEFICIAL CLIMATE BENEFICIAL CLIMATATIC CONDITION BENEFICIAL CLIMATE BENEFICIAL CLIMATIC CONDITION BENEFICIAL CLIMATIC CONDITIONS BETTER CLIMATE BETTER CLIMATIC CONDITIONS BETTER RAINS BETTER RAINS THAN LAST YEAR BETTER RAINS THUS BETTER PRODUCTION CHANGE IN LIFE CIRCUMSTANCE CHANGE IN LIFE CIRCUMSTANCES CHANGE IN MY LIFE SITUATION CHILDREN HAVE WELL PAYING JOBS CLIMASTIC CONDITION IS FAVOURABLE CLIMATE CLIMATE HAS BEEN GOOD AND THERE WERE NO PESTS CLIMATE HAS NOT BEEN SO BAD CLIMATE IS FAIR THIS YEAR COMMERCIAL BUILDING BRINGING INCOME (INVESTMENT) CONFLICT WITH NEIGHBOURS DEALING WITH DIFFERENT PEOPLE AND JOBS DID NOT CULTIVATE ENOUGH ACRES OF LAND DUE TO GOOD CLIMATIC CONDITION DUE TO GOOD RAINFALL DUE TO INCREASE IN MORE LAND TO CULTIVATE ENOUGH LAND AND MORE TRADING ACTIVITIES LIKE FISHING ENOUGH LAND TO CULTIVATE ENOUGH MARKET ENOUGH RAIN ENOUGH RAINFALL ENOUGH RAINFALL FOR OUR CROPS ENOUGH RAINS ENOUGH RAINS THAT ENABLE ME GET GOOD HARVEST FAVORABLE CLIMATE FAVORABLE CLIMATIC CONDITION FAVORABLE CLIMATIC CONDITIONS FAVORABLE RAINFALL LEVELS FAVORABLE RAINS IN 2012 FAVOURABLE FAVOURABLE CLIMATE FAVOURABLE CLIMATE CONDITION FAVOURABLE CLIMATE I.E ENOUGH RAIN FAVOURABLE CLIMATIC CONDITION FAVOURABLE CLIMATIC CONDITIONS FAVOURABLE CONDITION FAVOURABLE RAINFALL FAVOURABLE RAINS FAVOURABLE SEASON AND CLIMATIC CONDITIONS GAIN MUCH KNOWLEDGE ON AGRICULTURE GOOD AND AMPLE RAINS GOOD CLIMATE GOOD CLIMATE AMPLE RAINS AND MINIMAL SUNSHINE GOOD CLIMATE AND PREFERENCE OF NGO IN THE DISTRICT GOOD CLIMATE BALANCED RAIN/SUN GOOD CLIMATE HAS ENABLED BETTER HARVEST GOOD CLIMATE THIS TIME GOOD CLIMATE WEATHER GOOD CLIMATE/RAINFALL GOOD CLIMATIC CHANGE GOOD CLIMATIC CONDITION GOOD CLIMATIC CONDITION , ENOUGH RAINFALL GOOD CLIMATIC CONDITIONS GOOD HARVEST GOOD HARVEST (CLIMATE) GOOD HEALTH;GOOD CLIMATE;FAVOURABLE RAINFALL GOOD HERVEST GOOD RAINS GOOD SEASON GOOD WEATHER GOOD WEATHER AND MORE INCOME FROM HOUSEHOLD MEMBERS GOOD WEATHER RAINS GOOD WEATHER THAT WAS FAVOURABLE FOR AGRICULTURAL PRODUCTION GOOD YIELD GOOD YIELDS GOOD YIELDS AND CHILDREN GOT JOBS GOOD YIELDS DUE TO GOOD CLIMATE GOT MONEY FROM FARM PRODUCE AND ANIMALS HAD MORE TIME TO CONCENTRATE IN AGRICULTURE HARD WORK HARD WORK AND GOOD CLIMATE HARD WORK OF FAMILY MEMBERS HAVE ENOUGH LABOUR HEAVY DOWN POUR HEAVY RAINFALL HHERE IS ENOUGH RAIN THIS YEAR HIGH CROP BECAUSE OF GOOD CLIMATE HIGH CROP CULTIVATION DUE TO GOOD CLIMATE HIGH ENOUGH RAINFALL HIGH INCOMES EARNED HIGH RAINFALL HIGHER RAINFALL HOUSE HLD HEAD GOT A JOB HUSBAND STARTED WORKING I ACQUIRES KNOWLEDGE ON CROP HUSBANDRY I AM NOT ILL THIS YEAR ROUND I GOT BANANA SEEDLINGS FROM NAADS I HAD TO REDUCE MY EXPENDITURES I HAVE BEEN SELLING MY TEA AND OTHER CROPS TO GET MONEY I HAVE STARTED WORKING AS A BUILDER I PLANTED EARLY AND THE RAINS WERE FAVOURABLE I PLANTED IN TIME THIS YEAR I RECEIVED TREATMENT FROM HOSPITAL INCREASE IN CAPITAL FROM HOUSE HOLD LIVESTOCK INCREASE IN FARM PRODUCTION INCREASE IN HHOLD MEMBERS INCREASE IN INCOME INCREASE IN YIELDS OF CROPS INCREASED MARKET FOR LIVESTOCK INCREASED MARKET IN OUR5 AREA INCREASED RAINFALL INREASE IN HOUSEHOLD LABOUR AND GOOD CLIMATE IT HAS BEEN A GOOD SEASON FOR FOOD PRODUCTION IT HAS BEEN RAINING AND HE MADE PLENTY OF PUMPKIN IT RAINED THIS SEASON ITS RAINY NOT LIKE LAST YEAR WHEN IT WAS TOO SUNNY LAW RATE OF CONFLICT HAS BOUGHT BLESSING OF ENOUGH RAIN LIFE BECAME BETTER SINCE BUILDING A NEW HSE LOTS OF RAINFALL MANY OF THEM ARE MARRIED AND PROVIDE SUPPORT MANY PEOPLE COME FROM OTHER PLACES AND PROVIDE MARKET FOR THE PRODUC MARKET FOR MY PRODUCE MARKET FOR OU CROPS MARKET FOR OUR PRODUCE MARKET FOR PRODUCES MODERATE RAINFALL MORE CULTIVATED LAND AND ENOUGH RAIN MORE HARVEST DUE TO GOOD RAINS MORE TRADING IN THE AREA MORE TRADING OPPORTUNITIES MUM LEAVING HOME NAADS PROJECT WHICH GEVE SEEDS TO GROW NO RAIN FOER THE WHOLE YEAR NO WEEDS,RAIN OLD AGE PEACE HAS BEEN PROMOTED IN THE AREA POWER AND ENERGY PRECENCE OF RAINS PRESENCE OF NGO IN THE AREA PRESENCE OF NGO`S IN THE COMMUNITY PROPER RAINFALL RAIN HAS BEEN ENOUGH THAN AYEAR AGO RAIN IS ENOUGH RAIN IS ENOUGH FOR CULTIVATION RAINFALL RAINFALL HAS BEEN THERE RAINFALL IS ENOUGH RAINFALL WAS ENOUGH RECEIVED AN AID FROM THE GOVT RELIABLE RAIN RELIANCE ON NG'OS (RELIEF AID) RELIEF FOOD RENTED OUT OUR LAND TO GET MONEY TO ROOF OUR HOUSE SEASON HAS BEEN ABIT GOOD SELLING MORE FARM PRODUCE SEPARATED WITH THE HUSBAND AND HAS COME BACK HOME SICKNESS SICKNESS AND OLD AGE SOLD COFFEE AS WELL AS OTHER COMPLIMENTARY SOURCES SOLD FOOD AND GOT SOME MONEY SOLD OFF MY COFFEE AND BOUGHT THEM SOLD SOME FARM ANIMALS TO BUY SUNFLOWER SEEDS SOLD SOME PRODUCE AND GOT MONEY TO BUY ANIMALS SUITABLE AND RELIABLE WEATHER CONDITIONS SUITABLE RAIN THE BUSINESS HAS GROWN BIG THE BUSINESS IS BRINGING GOOD MONEY THE CHILD IS NOW DOING WELL THE CLIMATE HAS BEEN GOOD THE CLIMATE RAINS WAS GOOD THE CLIMATE WAS GOOD THE CONFLICT HAS BN STABILISED THE H/HEAD IS NOW EMPLOYED THE HH MEMBER 2 IS DOING SAME BUSINESS TO BUY DRUGS THE NEW NGO'S PROVIDING FOOD HAVE SOME THE RAIN COME EARLY AND WE PLANTED EARLY THE RAIN HAS BEEN GOOD FOR AGRICULTURE WORK THE RAIN WAS FAVOURABLE FOR CROPS TO GROW THE RAINFALL HAS BEEN FAIR THE RAINS CAME IN EARLY AND IT WAS ENOUGH TO GROW THE CROPS THE RAINS FAVOURED THE CROPS GROWN THE RAINS HAVE BEEN FAVOURABLE THE RAINS HAVE BEEN FAVOURABLE FOR AGRICULTURE THE RAINS HAVE BEEN GOOD WHICH FAVOURED THE SEEDS FOR GROWING THE RAINS HAVE BROUGHT FOOD THE RAINS WERE ADEQUATE THE RAINS WERE CONSISTENT AND HAD ACCESS TO OXEN THE RAINS WERE EARLY THE RAINS WERE ENOUGH FOR THE CROPS THE RAINS WERE FAVOURABLE THE RAINS WERE FAVOYRABLE THE RAINS WERE GOODAND FAVOURABLE THE RAINS WERE JUST ENOUGH FOR THE CROPS TO GROW WELL THE RAINS WERE NOT ENOUGH FOR THE CROPS THE SEASON WAS GOOD THE SUN DINN'T DESTROY THE CROPS THE SUNSHINE WAS TOO MUCH THE WEATHER HAS BEEN FAVOURABLE FOR CULTIVATION THE WEATHER NOW FAVOURS GROWTH OF CROPS THE WEATHER WAS FAVOURABLE FOR THE GOOD AGRICULTURAL PRODUCTION THE WEATHER WAS GOOD THE WEATHER WAS GOOD THIS YEAR THOUGH IT HAS CHANGED THE WEATHER WAS NOT BAD THERE HAS BEEN ALOT OF LABOUR THERE ARE GRASSES FOR THEM TO EAT THERE HAS BEEN A LOT OF RAINFALL THERE HAS BEEN ENOUGH RAIN THIS YEAR THERE HAS BEEN MORE INVESTMENT WHICH YIELD MORE INCOME FOR THE HH THERE HAS BEEN SERIOUS WATER DOWN POUR THERE IS ENOUGH RAIN THERE IS ENOUGH RAIN FOR CULTIVATION THERE IS ENOUGH RAIN IN THE YEAR THERE IS ENOUGH RAIN THIS YEAR THERE IS INCREASED TRADING IN THE AREA THERE IS RAIN THERE IS RAIN THIS YEAR THERE IS READY MARKET THERE WAS ALOT OF RAIN FOR FARMING THERE WAS ALOT OF RAINFALL THERE WAS ALOT OF RAINFALL FROM APRIL SO PLANTED ENOUGH CROPS THERE WAS ENOUGH RAIN THERE WAS NO RAIN THEY GOT A LOAN AND THE WEATHER WAS FAVOURABLE THROUGH AGRICULTURAL PRODUCTION TO MUCH RAINFALL TOO MUCH RAINFALL HENCE LEADING TO HIGH YIELDS TSETSE FLY UNITING WITH THE CHILDREN AND WORKING HARD USED FERTILISER,RENTED LAND,SOLD THE PRODUCE USED THE LITTLE SAVINGS WISELY AND BOUGHT A MOPTOR CYCLE WAS ABLE TO SELL MY LIVESTOCK AT A GOOD PRICE WE HAVE MARKET IN OUR AREA NOW WEATHER HAS BEEN GOOD WORKING ALITTLE BIT HARDER WORKING ON SEVERAL JOBS FOR DIFFERENT JOBS hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? hh10 q4:why is your household better off than a year ago - code? 481 3499 1 increase in number or quality of labour (hh members) 2 increase in animals owned 3 increase in hhs own land or water resources 4 better access to land, water or other natural resources for production 5 purchase/investment in other productive assets 6 hh member got a (better) job / better paid 7 increaed income from animal husbandry, fishing or farming – higher production 8 increased income form animal husbandry, fishing or farming – lower input cost, higher sales prices 9 increased income from household business 10 aid project (ex. new ngo programme) 11 lower food costs 12 lower other living costs 13 decreased number of dependents 14 more support from remittances / other households 15 more support form formal aid (gov’t, ngo, religious) 16 sage programme transfers 17 97 other (specify) 98 Sysmiss hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? hh10 q4:why is your household better off than a year ago - other? 3494 . ABLE TO BUDGET DUE TO NO DEPENDENT BETTER/GOOD SOIL BOUGHT ANIMALS (COWS) FOR DIGGING MAKING IT EASY AND QUICK CULTIVATED USING AN OXPLOUGH HANCE CULTIVATED A LOT DOUGHTERS AND SONS GOT EMPLOYED EARLY FARMING HELPED ME ALOT GET AN OPPORTUNITY TO RENT LAND FOR FARMING GOES TO WORK GOVERNMENT HAS PROTECTED US WELL HAD MANY HOUSEHOLD MEMBERS HARD WORK HARDWORK AND DETERMINATION HARDWORK PAYS HE IS EMPLOYED I HAVE WORKED HARD IMPROVE LABOUR USING MONEY IMPROVED WORKING CONDITIONS INCREASED NUMBER OF PEOPLE TO PROVIDE LABOR LAST YEAR I WAS SICK BUT NOW AM STRONG LOAN ACQUISITION MORE ANIMALS PURCHASED AND ADDITIONAL HOUSEHOLD BUSINESSES MORE LAND GIVEN TO US FOR CULTIVATION MORE PEOPLE ARE REPAIRING THEIR BICYCLE THIS YEAR MORE TIME SPENT ON THE FARM BY MY FATHER MY CHILDREN STARTED UP THEIR OWN HOMES MY RELATIVE HAS GIVEN ME A HOUSE TO STAY PEACE HAS BROUGHT GOOD HARVEST PEACE HAS IMPROVED HARVEST PROMOTION PROPER PRESERVATION OF THE ENVIRONMENT AND SOIL RECEIVE TREATMENT RENTED LAND FOR CULTIVATION RENTING ANOTHER ACRE OF LAND AND PUTING MORE ENERGY IN DIGING SHE HAS BEEN GIVEN A GARDEN THAT WAS INITIALY TAKEN BY HER SOLD MY COW SOLD MY FARM AND AM USING THAT MONEY FOR BUILDING SOLD OFF ONE HIS MOTORCYCLES AND EXPANDED THE BUSINESS SON HELP HER FARM USING PLOUGH UNLIKE BEFORE THE HEAD OF THE FAMILY GOT A BETTER JOB THE HUSBAND GOT A PRETY JOB THERE IS NO SECURITY IN THE VILLAGE THEY SAT DOWN AND AGREED ON HOW TO TAKE CARE OF ME THIS IS WHAT I GOT SOME MONEY FOR CULTIVATION THIS YEAR I CULTIVATED ON DRY LAND BUT LAST YEAR WAS IN TH TREATMENT WE SOLD ALMOST TO BUY THE PIGS AND POULTRY hh10 q5:in the last 12 months has your household suffered a particular problem o hh10 q5:in the last 12 months has your household suffered a particular problem o hh10 q5:in the last 12 months has your household suffered a particular problem o hh10 q5:in the last 12 months has your household suffered a particular problem o hh10 q5:in the last 12 months has your household suffered a particular problem o 3980 1 yes 2 no 98 dk/n/a hh10 q6:what was the problem - first mention? hh10 q6:what was the problem - first mention? hh10 q6:what was the problem - first mention? hh10 q6:what was the problem - first mention? hh10 q6:what was the problem - first mention? 1759 2221 1 loss of productive household member (death) 2 loss of productive household member (leaving hh) 3 illness/injury of household member 4 loss of (non-productive) household member (death) 5 loss of hhs own land or water resources 6 loss of access to land, water or other natural resources for production 7 loss of other productive assets (tools, machinery etc) 8 less income or loss of job 9 less income from animal husbandry, fishing or farming – lower volume of production 10 less income from animal husbandry, fishing or farming – higher costs or lower sales prices 11 less income from animal husbandry, - lower volume of sales 12 less income from other household business 13 increased number of dependents 14 large expenditure due to ill health or death of hh member (inc funeral) 15 large expenditure on social obligations 16 increased cost of food 17 increased cost of fuels, transport or other necessities 18 debt repayments 19 loss of aid (ex. ngo programme finishing) 42 loss of hhs own animals 97 other (specify) 98 don't know/no response Sysmiss hh10 q6:what was the problem - second mention? hh10 q6:what was the problem - second mention? hh10 q6:what was the problem - second mention? hh10 q6:what was the problem - second mention? hh10 q6:what was the problem - second mention? 388 3592 1 loss of productive household member (death) 2 loss of productive household member (leaving hh) 3 illness/injury of household member 4 loss of (non-productive) household member (death) 5 loss of hhs own land or water resources 6 loss of access to land, water or other natural resources for production 7 loss of other productive assets (tools, machinery etc) 8 less income or loss of job 9 less income from animal husbandry, fishing or farming – lower volume of production 10 less income from animal husbandry, fishing or farming – higher costs or lower sales prices 11 less income from animal husbandry, - lower volume of sales 12 less income from other household business 13 increased number of dependents 14 large expenditure due to ill health or death of hh member (inc funeral) 15 large expenditure on social obligations 16 increased cost of food 17 increased cost of fuels, transport or other necessities 18 debt repayments 19 loss of aid (ex. ngo programme finishing) 42 loss of hhs own animals 97 other (specify) 98 don't know/no response Sysmiss hh10 q6:what was the problem - third mention? hh10 q6:what was the problem - third mention? hh10 q6:what was the problem - third mention? hh10 q6:what was the problem - third mention? hh10 q6:what was the problem - third mention? 72 3908 1 loss of productive household member (death) 2 loss of productive household member (leaving hh) 3 illness/injury of household member 4 loss of (non-productive) household member (death) 5 loss of hhs own land or water resources 6 loss of access to land, water or other natural resources for production 7 loss of other productive assets (tools, machinery etc) 8 less income or loss of job 9 less income from animal husbandry, fishing or farming – lower volume of production 10 less income from animal husbandry, fishing or farming – higher costs or lower sales prices 11 less income from animal husbandry, - lower volume of sales 12 less income from other household business 13 increased number of dependents 14 large expenditure due to ill health or death of hh member (inc funeral) 15 large expenditure on social obligations 16 increased cost of food 17 increased cost of fuels, transport or other necessities 18 debt repayments 19 loss of aid (ex. ngo programme finishing) 42 loss of hhs own animals 97 other (specify) 98 don't know/no response Sysmiss rhh10 q6:what was the problem - other 1? rhh10 q6:what was the problem - other 1? rhh10 q6:what was the problem - other 1? rhh10 q6:what was the problem - other 1? rhh10 q6:what was the problem - other 1? 188 CHILDREN HAD NOTHING TO EAT SO SHE MOVED AND LEFT THEM WITH GMOTHER CLIMATE CHANGES AND SEASONS WAS APROBLEM COURT CASE EXPENDITURE COURT CASE OVER FAMILY LAND HAS LED TO INCREASED EXPENDITURE CROPS WERE SWEPT AWAY BY FLOODS DEATH AND SICKNESS DEATH OF A PERSON SHE WAS BUYING LAND FROM DEATH OF BROTHER DEATH OF GRAND CHILD DEATH OF GRAND CHILDREN DEATH OF GRAND MOTHER DEATH OF GRANDMOTHER DEATH OF HIS MOTHER AND THE SON BROKE HIM DOWN DEATH OF MOTHER DEATH OF MY GRAND CHILD THIS YEAR IN MARCH DEATH OF MY GRAND MOTHER DEATH OF MY GRANDCHILDREN DEATH OF MY NEPHEW THIS YEAR DEATH OF MY SON DEATH OF MY WIFE DEATH OF MY YOUNG BROTHER DEATH OF NON HOUSEHOLD MEMBER DEATH OF SON INLAW DEATH OF STEP CHILD, ILLNESS OF HOUSEHOLD MEMBERS DEATH OF THE BROTHER'S SON AND THE GRAND CHILD, NO FOOD DISEASES/SICKNESS DOMESTIC VIOLENCE AND WRANGLE OVER PROPERTY WITH THE SPOUSE DOMESTIC VIOLENCE(HUSBANCHASED ME A WAY ),SICKNESS EDUCATION EDUCATION FEES EDUCATION HAS BECOME EXPENSIVE FAILED TO PAY FOR SCHOOL FEES FAILURE TO PAY SCHOOL FEES FAMINE FAMINE (HUNGER) FAMINE HUNGER FEES FEES(EDUCATION) FERMINE IS THE CAUSE OF SICKNESS FLOODING FLOODS FRUSTRATION BECAUSE MY NAME SCRAPPED FROM PAYROLL GOING TO THE COURT TO SETTLE ISSUES OF LAND HAVE SPENT ALOT IN LAND CAUSES-PEOPLE TRYING TO TAKE MY LAND HE WAS THREATENED TO BE INPRISONED BY THOSE WHO STOLE HIS CATTLE HIS HOUSE GOT BURNT WITH EVERYTHING INSIDE HOUSE AND EVRYTHING IN IT GOT BURNT HOUSE GOT BURNT WITH EVERYTHING INSIDE HOUSEHOLD LOST A BROTHER AND THE BURDEN BORN BY THE HOUSEHOLD HOUSEHOLD PROPERTY STOLEN THREE TIMES HUNGER HUNGER BECAUSE THERE IS NO FOOD TO EAT HUNGER PROBLEM HUNGER,SICKNESS,SCHOOL FEES I AM EVER DOWN TAKEN CARE BY WELL WISHERS I FELL SICK THIS YEAR AND WAS ADMITTED I HAD A PROBLEM CONSTRUCTING MY HOUSE I HAD A PROBLEM OF FAMINE, I HAD NO FOOOD TO EAT I HAD A PROBLEM OF PAYING SCHOOL FEES FOR THE CHILDREN I HAD PROBLEM OF SCHOOL FEES I HAVENT TAKEN MY GRAND DAUGHTER TO SCHOOL I WAS ROBBED AND ALL MY PROPERTY WERE TAKEN ILLNESS ILLNESS OF DAUGHERS,FARMING,FEEDING OF CHILDREN ILLNESS OF HOUSEHOLD HEAD AND SPOUSE,SCHOOL FEES PROBLEM ILLNESS OF THE HOUSEHOLD HEADD, HUNGER SO HAD TO BORROW ABOUT 20000 IMPPRISONMENT OF BROTHER IMPRISONMENT IMPRISONMENT OF PRODUCTIVE HOUSEHOLD MEMBER INADEQUATE FUNDS TO PAY FOR CHILDREN FEES AND OTHER NECESSITIES INCREASED COST OF LABOUR IS OLD AND CANNOT HELP THE GRAND CHILDREN LACK OF FEES TO PAY FOR THE CHILDREN LACK OF FOOD LACK OF FOOD CASSAVA, BEANS LACK OF MONEY TO CATER FOR HOSPITAL BILLS LACK OF MONEY TO GO TO PRIVATE HOSPITAL FOR CHECK UP LACK OF SCHOOL FEE TO THE CHILDREN LACK OF SCHOOL FEES LACK OF SCHOOL FEES FOR MY CHILDREN LAND CONFLICT LAND GRABING LAND WANGLES LAND WRANGLES LARGE EDUCATION EXPENCES LONGTIME ILLNESS OF PRODUCTIVE HH MEMBER LOSS OF AGRICULTURAL PRODUCE THROUGH THEFT LOSS OF PROPERTY E.G THE HOUSE, CROPS E.T.C LOST MY CATTLE LOST OUR HOUSE TO FIRE AND DAMAGE ON LOT OF PROPERTIES MARRYING FOR BOYS WOMEN MONEY WAS STOLEN FROM THE HOUSE MY 3 CHILDREN RAN MAD THIS YEAR MY ELDER SON HUNGED HIMSELF WITH A ROPE AND LEFT BEHIND CHILDREN MY HOUSE COLLAPSED MY HOUSE GOT BURNT MY HOUSE GOT BURNT AND I LOST ALOT OF PROPERTY MY HOUSE GOT BURNT AND I LOST EVERYTHING MY HOUSE GOT BURNT THIS YEAR IN JUNE BY MY DAUGHTER MY HOUSE GOT BURNT WITH EVERYTHING ON IT MY HOUSE WAS BURNT AND REMAINED WITH NOTHING MY HUSBAND WAS ARRESTED AND IMPRISONED MY HUT GOT BURNT LAST YEAR DECEMBER BY MY GRAND SON MY MONEY WAS STOLEN MY SON IMPREGNATED A GIRL AND I WAS FINE MY SON IMPREGNATED A NEIGHBORS DAUGHTER MY SON IMPREGNATED A STUDENT AND I WAS MADE TO PAY A FINE MY SON PASSED HIS UACE AND I FAILED TO GET MONEY FOR UNIVERSITY MY WIFE DEVORCED ME NO FOOD TO EAT,HUNGER. NO HOUSES FOR SLEEPING NO MONEY FOR SCHOOL FEES PAID FINE TO SOMEONE WHOSE DAUGHTER WAS IMPREGNATED BY MY SON PAYING DEBTS PAYING FEES PAYING SCHOOL FEES POOR HOUSING POVERTY PROBLEM OF PAYING SCHOOL FEES,PAYING BILLS FOR SICK CHILDREN PROBLEM OF SCHOOL FEES RAPE RELATIVES WANTED TO STOLE MY LAND REPAIRING THE BUILDING ROBBERY OF MONEY FROM THE HOUSEHOLD SCHOOL FEES SCHOOL FEES FOR THE CHILDREN SCHOOL FEES RPOBLEM.I HAVE MANY CHILDREN WHOOM I PAY SCHOOL FEES TO SHE FAILED TO GET MONEY FOR SCHOOL FOR OLDEST SON SHE NETS SICK DUE TO OLD AGE , SHE LOST HER AUNT AND LOST ASSESTS SHOOL FEES PROBLEMS SICKNESS HIGH COST OF FOOD SICKNESS OF HOUSEHOLD MEMBER AND INCREASED COST OF FOOOD SICKNESS OF THE CHILD AND UNABLE TO PAY BILLS,LACK OF SCHOOL FEES SICKNESS OF THE HHOLD HEAD SICKNESS, FAMINE SICKNESS,STOLE MY HOUSEHOLD PROPERTY AS WELL AS MY ANIMALS SOME SICKNESS IN THE THROAT THAT MADE FARMING HARD FOR HER SOMETIMES I LACK WHAT TO EAT BECAUSE OF LOW INCOME SON WAS ARRESTED AND IMPRISONED SON WAS ARRESTED OVER BUYING A STOLEN GOAT STOLEN BUSINESS THE CHILD OF A HOME WAS ARRESTED AND PUT IN JAIL THE CROPS SWEPT AWAY BY RUNNING WATER FROM THE GARDENS THE CROPS WERE SWEPT AWAY FROM THE GARDEN DUE TO HEAVY RAINS THE CROPS WERE SWEPT FROM THE GARDEN DUE TO OVERFLOWING WATER THE FLOODS SUBMERGED ALL THE CROPS IN THE GARDEN THE HEAD OF HHOLD DOPED WITH SOMEONES NEIGHBOUR THE HOUSE COLLAPSED THE HOUSE GOT BURNED BY MY GRANDSON OMARA WHEN WE HAD GONE MARKET THE HOUSE GOT BURNT IN AUGUST 2011 THE HOUSE GOT BURNT WITH ALL HOUSEHOLD PROPERTIES THE HOUSE GOT BURNT WITH EVERYTHING INSIDE THE HOUSEHOLD RAN SHORT OF FOOD THE HUSBAND WAS TAKEN TO COURT AND THEY COULD NOT AFFORD THE FINE THE ONLY HUT SHE USES FOR LIVING COLLAPSED THE RELATIVES ARE CHASSING ME OUT OF THE PREMISES MY HUSBAND LEFT THE WATER SUBMERGED CROPS IN THE GARDEN THEFT THEFT OF THE MONEY, FREQUENT GOING TO THE COURT THEFT. HOUSEHOLD ASSETS WERE STOLEN. THEY EXTRACTED ONE OF MY TOOTH BADLY EVER SINCE THEN I HAVE NO PEAC TWO HUTS WERE SET ON FIRE BY UNKNOWN PERSONS WITH LOTS OF HOUSEHOLD UNABLE TO BUY FOOD,AND GRAND SONS FEES UNABLE TO MEET HOUSEHOLD NEEDS LIKE BUYING FOOD & PAYING SCHOOL FEE VIOLENCE CAUSED BY MOTHER IN LAW WHO ACCUSED ME OF KILLING HUSBAND WAS ARRESTED FOR FISHING AND MOTHER SOLD LIVESTOCK TO GET HIM OUT WE FAILED TO RAISE MY GRAND CHILD'S EDUCATION WENT TO COURT SOME ONE WANTED TO GRAB MY LAND FROM ME rhh10 q6:what was the problem - other 2? rhh10 q6:what was the problem - other 2? rhh10 q6:what was the problem - other 2? rhh10 q6:what was the problem - other 2? rhh10 q6:what was the problem - other 2? 20 AFTER HE DIED ASSETS E.GMATRESS DEATH OF GRAND CHILD DISTRUCTION OF AGRICULTURE,PLANTS EDUCATION FEES GOT AN ACCIDENT IN THIS MONTH HOUSE WIFE AND CHILD LEFT THE HOUSEHOLD AFTER A CONFLICT HUNGER AND LACK OF SCHOOL FEES I HAVE FAILED TO ERECT A HOUSE TO LIVE IN. I HAVE NO HEL ILLNESS OF HOUSE HOLD HEAD AND SPOUSE LACK OF AN OX PLOUGH LACK OF MONEY TO PAY FOR THE HOSPITAL BILLS WHEN CHILDRE LESS INCOME FROM HH BUSINESS LOST MY CHILD MARRIAGE OF MY SON(SON'S MARRIAGE EXPENSE) PAYING FEES POOR SHELTER SCHOOL FEES PROBLEM THEFT OF MONEY THERE IS NO MONEY TO CATER FOR FAMILY NEEDS. hh10 q7:how did your household attempt to cope with this problem - first mention hh10 q7:how did your household attempt to cope with this problem - first mention hh10 q7:how did your household attempt to cope with this problem - first mention hh10 q7:how did your household attempt to cope with this problem - first mention hh10 q7:how did your household attempt to cope with this problem - first mention 1759 2221 1 mortgage assets 2 sell assets 3 sell livestock 4 use savings 5 withdraw children from school 6 sent children for wage employment 7 send children to live elsewhere 8 migration 9 formal borrowing 10 informal borrowing 11 reduce consumption 12 consume lower quality food/ less preferred food 13 help provided by relatives and friends 14 help provided from local governments 15 more wage employment 16 change crop choices to avoid bad weather or pest attack 17 improve technology 18 work as self employed 19 increased agricultural labor supply 97 other 98 don't know/no response Sysmiss hh10 q7:how did your household attempt to cope with this problem - second mentio hh10 q7:how did your household attempt to cope with this problem - second mentio hh10 q7:how did your household attempt to cope with this problem - second mentio hh10 q7:how did your household attempt to cope with this problem - second mentio hh10 q7:how did your household attempt to cope with this problem - second mentio 473 3507 1 mortgage assets 2 sell assets 3 sell livestock 4 use savings 5 withdraw children from school 6 sent children for wage employment 7 send children to live elsewhere 8 migration 9 formal borrowing 10 informal borrowing 11 reduce consumption 12 consume lower quality food/ less preferred food 13 help provided by relatives and friends 14 help provided from local governments 15 more wage employment 16 change crop choices to avoid bad weather or pest attack 17 improve technology 18 work as self employed 19 increased agricultural labor supply 97 other 98 don't know/no response Sysmiss hh10 q7:how did your household attempt to cope with this problem - third mention hh10 q7:how did your household attempt to cope with this problem - third mention hh10 q7:how did your household attempt to cope with this problem - third mention hh10 q7:how did your household attempt to cope with this problem - third mention hh10 q7:how did your household attempt to cope with this problem - third mention 66 3914 1 mortgage assets 2 sell assets 3 sell livestock 4 use savings 5 withdraw children from school 6 sent children for wage employment 7 send children to live elsewhere 8 migration 9 formal borrowing 10 informal borrowing 11 reduce consumption 12 consume lower quality food/ less preferred food 13 help provided by relatives and friends 14 help provided from local governments 15 more wage employment 16 change crop choices to avoid bad weather or pest attack 17 improve technology 18 work as self employed 19 increased agricultural labor supply 97 other 98 don't know/no response Sysmiss hh10 q7:how did your household attempt to cope with this problem - other 1? hh10 q7:how did your household attempt to cope with this problem - other 1? hh10 q7:how did your household attempt to cope with this problem - other 1? hh10 q7:how did your household attempt to cope with this problem - other 1? hh10 q7:how did your household attempt to cope with this problem - other 1? 164 ADVISE FROM FRIENDS BORREWED MONEY FROM VSLD BORROWED A COW FROM A FRIEND CALL FOR PRAYERS AT HOME CASUAL LABOUR CASUAL LABOURING CHANGED SCHOOL FOR THE CHILDREN CHILDREN REPORTED LATE TO SCHOOL COLLECTING DOWRY FROM SON-IN-LAW TO PAY CATTLE DECIDED NOT TO GO FOR BURIAL DECIDED TO GO FOR BURIAL DID NOTHING FAILED TO GET SOLUTION FARMING FENCED THE AREA TO AVOID CATTLE FROM GETTING IN FIREWOOD FREE MEDICATION FROM GOVERNMENT HOSPITAL FRIENDS GAVE THEM TWO COWS TO KEEP FULL TIME PARTICIPATION IN FARMING GO FOR TREATMENT TO THE GOVERNMENT HOSPITAL GO TO PEOPLE GODS PRAYER GOING FOR TREATMENT TO THE HOSPITAL GOT A LOAN GOT FOOD FROM THE GARDEN GOT HELP AND SUPPORT FROM THE COMMUNITY GOT NO HELP FROM ANYONE GOT TREATED FROM A HOSPITAL GOVERNMENT AND CLAN MEMBERS SOLVED THE PROBLEM HAD TO LET IT GO AND HAVE A NEW LIFE HAVE NO PLACE TO MOVE TO HE SOLD SUGAR CANE TO RAISE SOME MONEY HELP FROM GROUP ROSCA HELP FROM NGO HELP FROM RELATIVES AND FRIENDS I AM STILL TRYING TO LOOK FOR MONEY TO ROOF THE NEW HOUSE I DECIDED TO DIG INORDER TO GET BACK I GAVE GOAT FOR THE BURIAL I HAD TO PLANT MY SONS GARDEN I HAVENT SOLVED THE PROBLEM I I DECIDED TO GO TO THE GOVERNMENT'S HOSPITAL WHICH IS FREE I PREPARED WARAGI AND SOLD TO GET MONEY I RENTED LAND AS I WAITED THE COURT PROCEEDINGS I SLAUGHTERED A COW TO MEET BURIAL EXPENSES I SLAUGHTERED THE ONLY COW I HAD TO CATER FOR THE BURIAL EXPENSES I SOLD AGRICULTURAL PRODUCE LIKE BEANS AND MAIZE I SOLD BEANS CASSAVA I SOLD MAIZE TO SOLVE THE PROBLEM I SOLD MY HARVESTS CARROTS I SOLD MY MILLET I HAD TO RECEIVE TREATMENT I SOLD MY TEA TO TREAT MYSELF BUT STILL AM NOT OK I SOLD MY WARAJI TO OVERCOME MY PROBLEM I SOLD SUNFLOWER I SOLD TOBACCO TO SOLVE THE PROBLEM I SOLD WARAGI MADE FROM MY BANANAS AND SOME IN THE MONG I TALKED TO SCHOOL ADMINISTRATION AND WHO ACCEPTED AND GAVE BURSARY I TOOK CHILDREN FOR TREATMENT TO THE HOSPITAL IHAD NO MONEY TO HELP ME INCREASED AGRICULTURAL PRODUCTION BY POLANTING MORE CROPS JUST SURENDERED THE LAND KILLED COWS FOR KEEPING MOVED SOMEWHER AND THE PAID ME NO ACTION TAKEN NOT YET COPED NOTHING NOTHING BECAUSE AM NOT OPERATED BECAUSE OF LACK OF MONEY NOTHING BECAUSE I HAVE NO CHILD TO TAKE CARE OF THE MEDICAL BILLS NOTHING BECAUSE I HAVE THE SAME PROBLEMS NOTHING BECAUSE THEY HAVE NOT YET OPERATED ME. NOTHING COULD BE DONE TO GET THE HUSBAND OUT OF PRISON NOTHING THOT OF.THE CHILD WILL NOT GO TO SCH UNTILL FURTHER NOTICE NOTHING WAS DONE TO SOLVE PARTICIPATED IN CASUAL WORK PLANTED SOME CASSAVA PLANTING AND SELLING FOOD PRAYED AND SOUGHT SPIRITUAL HELP PRAYER RECEIVING FOOD FROM RELATIVES REDUCING HOURS OF WORK RELATIVES RENTED OUT PIECE OF MY LAND TO GET MONEY REPORT TO CHAIR PERSON REPORTED TO CHAIRPERSON BUT WAS NOT HELPED SALE OF BEANS SECHING OUT PUT SELL AGRICULTURAL PRODUCE SELL CROPS SELL MATOKE TO BUY FOOD SELL OF AGRICULTURAL PRODUCE SELL OF AGRICULTURAL PRODUCE EG CASSAVA SELL OF MAIZE SELL OF ORANGES, CASSAVA SELL OF POULTRY SELL OF PRODUCE (AGRICULTURAL PRODUCE) SELL PRODUCE SELL THE PRODUCE E.G MAIZE TO GET MONEY TO BUY FOOD SELLING AGRICULTURAL PRODUCE MILLET SELLING CASSAVA,BEANS AND MAIZE SELLING CHICKEN FIREWOOD SELLING FIREWOOD SELLING HOUSEHOLD AGRICULTURAL PRODUCTS SELLING LABOUR SELLING LABOUR IN PEOPLES SELLING LABOUR TO GET MONEY FOR TREATMENT SELLING OF AGRICULTURAL PRODUCTS LIKE BEANS AND GROUNDNUTS SELLING OF AGRICULTURAL PRODUCTS(SUGAR CANE) SELLING OF BEANS SELLING OF BEANS , PEAS, GROUND NUTS SELLING OF FOOD LIKE MAIZE SELLING OF THE FOOD CROPS SELLING OF THE HOUSEHOLD GOODS LIKE MAIZE SELLING SUNFLOWERS SELLING WHAT WAS MEANT FOR HOUSEHOLD CONSUMPTION SELLS FEW CROPS OBTAINED FROM AGRIC MEANT FOR CONSUMPTION SEPARATION SET UP BUSINESS SHE HAD TO CONSTRUCT ANOTHER HUT WITH HELP OF RELATIVES SHE HAD TO STOP CULTIVATING THE LAND SMALL SCALE FARMING SOLD AGRICULTURAL PRODUCTS SOLD CASSAVA TO GET MONEY AND BUY PROPERTY SOLD FARM PRODUCE TOM GET MORE MONEY SOLD FOOD SOLD FROM THE GARDEN SOLD HOUSEHOLD PRODUCE SOLD MAIZE SOLD MAIZE TO HELP SOLVE THE PROBLEM SOLD MAIZE TO SOLVE THE PROBLEM SOLD MUCH OF THE HARVEST SOLD MY GROUNDNUTS AND IRISH POTATOES SOLD MY MAIZE SOLD MY OUTPUT CROPS LIKE BEANS SOLD PRODUCE SOLD PRODUCE FROM THE GARDEN SOLD SOGHUM TO PAY FOR FEES SOLD SOME BANANAS TO PAY SOLD SOME FOOD PRODUCTS SOMEONE GAVE HER WHAT TO EAT SOUGHT LEGAL JUSTICE STILL THE SAME SUPPORT FROM RELATIVES THE CASE IS STILL IN COURT THE FOOD PROBLEM WAS SOLVED BY SPONSORSHIP GIVEN BY AN NGO THE PERSON WHO BURNT IT PAID IT OFF TRY TO FIT IN THE SAME HUT ALMOST 7 PEOPLE WALKED FOR TWO DAYS TO REACH THE HEALTH FACILITY WE ARE TRYING TO LOOK FOR MONEY TO THATCH THE HOUSE AND RECONSTRUCT WE RELOCATED TO ANOTHER UNUSED LAND TO CULTIVATE WE SURVIVE BECAUSE OF GOD'S MERCY WE WENT TO THE HOSPITAL; FOR TREATMENT WENT FOR A LEGAL ACTION FROM LC WENT TO GOVERNMENT HEALTH UNIT WHAT TO THE HOSPITAL FOR TREATMENT WORK AS A CASUAL LABOURER IN PEOPLE'S FARM hh10 q7:how did your household attempt to cope with this problem - other 2? hh10 q7:how did your household attempt to cope with this problem - other 2? hh10 q7:how did your household attempt to cope with this problem - other 2? hh10 q7:how did your household attempt to cope with this problem - other 2? hh10 q7:how did your household attempt to cope with this problem - other 2? 10 FREE GOVERNMENT MEDICATION GARDEN TO WORK FOR MONEY TO BUY HOUSEHOLD NEEDS I RENTED A PLOT OF LAND TO CULTIVATE ON I WENT TO GOVERNMENT HOSPITAL FOR TREATMENT SELLING OF BEANS,SIMSIM SELLING OF HOME PRODUCTS(CROPS) SICKNESS I WENT TOP THE HOSPAL FOR TREATMENT SOLD AGRICULTURAL PRODUCTS SOLD LIVESTOCK TOOK THE SICK BABY TO GOVT HOSPITAL hh11 q1: is anyone form this household currently a member of a village savings a hh11 q1: is anyone form this household currently a member of a village savings a hh11 q1: is anyone form this household currently a member of a village savings a hh11 q1: is anyone form this household currently a member of a village savings a hh11 q1: is anyone form this household currently a member of a village savings a 3980 1 yes 2 no 98 don't know/no response hh11_q2:is the village savings and loans associaltion(vsla) run by care internat hh11_q2:is the village savings and loans associaltion(vsla) run by care internat hh11_q2:is the village savings and loans associaltion(vsla) run by care internat hh11_q2:is the village savings and loans associaltion(vsla) run by care internat hh11_q2:is the village savings and loans associaltion(vsla) run by care internat 1093 2887 1 yes 2 no 98 don't know/no response Sysmiss hh11_q3:do you or anybody in this household currently have any cash savings? hh11_q3:do you or anybody in this household currently have any cash savings? hh11_q3:do you or anybody in this household currently have any cash savings? hh11_q3:do you or anybody in this household currently have any cash savings? hh11_q3:do you or anybody in this household currently have any cash savings? 3980 1 yes 2 no 98 don't know/no response hh11 q4a: where do you/person in your household keep their cash savings? hh11 q4a: where do you/person in your household keep their cash savings? hh11 q4a: where do you/person in your household keep their cash savings? hh11 q4a: where do you/person in your household keep their cash savings? hh11 q4a: where do you/person in your household keep their cash savings? 1311 2669 1 at home 2 vsla (village saving s and loan assosiations) 3 rosca and other informal savings scheme 4 ngo / mfi 5 cooperative/sacco 6 bank / formal institution 7 with a trader / shop 97 other 98 don't know/no response Sysmiss hh11 q4b: where do you/person in your household keep their cash savings? hh11 q4b: where do you/person in your household keep their cash savings? hh11 q4b: where do you/person in your household keep their cash savings? hh11 q4b: where do you/person in your household keep their cash savings? hh11 q4b: where do you/person in your household keep their cash savings? 239 3741 1 at home 2 vsla (village saving s and loan assosiations) 3 rosca and other informal savings scheme 4 ngo / mfi 5 cooperative/sacco 6 bank / formal institution 7 with a trader / shop 97 other 98 don't know/no response Sysmiss hh11 q4c: where do you/person in your household keep their cash savings? hh11 q4c: where do you/person in your household keep their cash savings? hh11 q4c: where do you/person in your household keep their cash savings? hh11 q4c: where do you/person in your household keep their cash savings? hh11 q4c: where do you/person in your household keep their cash savings? 22 3958 1 at home 2 vsla (village saving s and loan assosiations) 3 rosca and other informal savings scheme 4 ngo / mfi 5 cooperative/sacco 6 bank / formal institution 7 with a trader / shop 97 other 98 don't know/no response Sysmiss hh11 q4c: where do you/person in your household keep their cash savings - other hh11 q4c: where do you/person in your household keep their cash savings - other hh11 q4c: where do you/person in your household keep their cash savings - other hh11 q4c: where do you/person in your household keep their cash savings - other hh11 q4c: where do you/person in your household keep their cash savings - other 13 ABEK CEDA CEDE CHURCH CHURCH GROUP CLAN FRIENDS HEALTH CENTRE GROUP MOBILE MONEY NAADS RELIGIOUS SAVINGS GROUP TEA SCHEME UWESO GROUP hh11 q5 how much in total is currently held in savings by all members of your h hh11 q5 how much in total is currently held in savings by all members of your h hh11 q5 how much in total is currently held in savings by all members of your h hh11 q5 how much in total is currently held in savings by all members of your h hh11 q5 how much in total is currently held in savings by all members of your h 1311 2669 98 don't know 200 300 500 1000 1500 2000 2200 2500 3000 4000 5000 6000 6500 6600 7000 7500 8000 8800 9000 9500 9900 10000 11000 12000 12300 13000 15000 15400 16000 16500 17000 18000 20000 21000 22000 22800 23000 24000 25000 27000 30000 31850 32000 33000 34000 35000 35200 36000 38000 39000 40000 42000 44000 45000 47000 48000 50000 52000 53000 54000 55000 56000 60000 63000 64000 66000 68000 70000 72000 75000 76000 80000 84000 85000 86000 87000 88000 89000 90000 94000 100000 105000 108000 110000 112000 120000 126000 127000 130000 137000 138000 140000 145000 150000 155000 156000 160000 170000 180000 195000 200000 205000 210000 216000 220000 225000 230000 235000 240000 250000 252000 260000 267000 268000 270000 277000 280000 300000 310000 319000 320000 340000 349000 350000 400000 430000 436000 444000 448000 450000 500000 600000 630000 650000 700000 720000 770000 800000 900000 910000 1000000 1030000 1250000 1300000 1500000 1700000 1800000 2000000 2200000 3000000 3800000 4000000 5000000 5500000 6000000 6500000 10000000 15000000 30000000 62000000 Sysmiss hh11 q6:has anybody in your household borrowed any money in the last 12 months? hh11 q6:has anybody in your household borrowed any money in the last 12 months? hh11 q6:has anybody in your household borrowed any money in the last 12 months? hh11 q6:has anybody in your household borrowed any money in the last 12 months? hh11 q6:has anybody in your household borrowed any money in the last 12 months? 3980 1 yes 2 no 98 don't know/no response hh11 q7:if not why not? hh11 q7:if not why not? hh11 q7:if not why not? hh11 q7:if not why not? hh11 q7:if not why not? 2057 1923 1 no one would lend: no one has money 2 no one would lend: not credit worthy 3 prefer not to owe money 4 don’t need it 97 other 98 don't know/no response Sysmiss hh11 q6:if not why not - other? hh11 q6:if not why not - other? hh11 q6:if not why not - other? hh11 q6:if not why not - other? hh11 q6:if not why not - other? 49 ALREADY HAS LOAN CAN'T PAY BACK CANT AFFORD TO PAY DIFFICULT TO PAY DO ODD JOBS FOR MONEY DOESN'T KNOW THE PROCESS DONT HAVE ANYONE I CAN TALK TO ALOT MO FEAR BAD LOAN RECOVERS FEAR DEPTS FEARING AND ASSOCIATED BURDENS FEARING DISTURBANCE FROM CALENDER FEARS TO BE ARRESTED GOT CAPITAL FOR THE HOUSEHOLD BUSINESS HARD TO PAY HELP FROM THE CHILDREN HIGH INTEREST RATE HIGH INTREST RATE I DON`T HAVE WAYS TO PAY BACK JERUSAND CONDITION JUST STARTED LABOUR FOR PAYMENT NO ABLE TO PAY BACK NO MEANS TO PAY BACK NO MONEY TO PAY BACK NO ONE IS WILLING TO LEND ME MONEY NO SECURITY NO WAY TO PAY BACK NO WAYS OF PAYING IT BACK NO WAYS OF REPAYMENT NOT ABLE TO PAY NOT ABLE TO PAY BACK NOTHING TO PAY BACK WITH NOTHING TO PAY IT BACK RELIGION SELL CROPS TO BUY WHAT I NEED SHE FEARS TROUBLE THAT COMES WHEN SHE TERMS AND CONDITIONS TERMS AND CONDITONS WERE HARSH TERMS CONDITION THAT AM OLD I CANT PAY THE GROUP HAS JUST BEGUN THERE IS NO MONEY THEY WILL NOT GIVE ME TO PAY NO MONEY UNABLE TO PAY BACK hh11 q8:how many times? hh11 q8:how many times? hh11 q8:how many times? hh11 q8:how many times? hh11 q8:how many times? 1888 2092 1 2 3 4 5 6 7 8 9 10 11 12 15 20 30 97 98 don't know/no response Sysmiss hh11 q9:how much money did you borrow in total in the last 12 months?- ugx hh11 q9:how much money did you borrow in total in the last 12 months?- ugx hh11 q9:how much money did you borrow in total in the last 12 months?- ugx hh11 q9:how much money did you borrow in total in the last 12 months?- ugx hh11 q9:how much money did you borrow in total in the last 12 months?- ugx 1888 2092 98 9999999999 153917185.522 1230098293.398 hh11 q10:how much do you currently owe in total to all sources of borrowing? - u hh11 q10:how much do you currently owe in total to all sources of borrowing? - u hh11 q10:how much do you currently owe in total to all sources of borrowing? - u hh11 q10:how much do you currently owe in total to all sources of borrowing? - u hh11 q10:how much do you currently owe in total to all sources of borrowing? - u 1888 2092 98 9999999999 2092367794.598 4068461809.66 hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh 1888 2092 1 private (family/friend) 2 trader 3 money lender 4 bank 5 ngo / mfi 6 religious group 7 rosca 8 vsla (village savings and loan association) 9 sacco 97 other 98 don't know/no response Sysmiss hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh hh11 q11:for the most recent loan (if your household took more than one) from wh 38 AFTER EVERY ONE YEAR BECHI GEN GROUP BUILDING RURAL AFRICAN COMMUNITIES-BRAC CHAIRMAN CHAN PWONYI GROUP CHURCH CLAN COMMITEE FAMILY SAVINGS FARMING GROUP FROM THE CHURCH FROM VILLAGE ASSOCIATION GROUP SAVINGS INFORMAL LOAN SCHEME INFORMAL SAVING INFORMAL SAVING AKIBA INFORMAL SAVING GROUP AKIBA INFORMAL SAVING SCHEME INFORMAL SAVINGS SCHEME KOKA MOBILE MONEY OTHER INFORMAL SAVING SCHEME OTHER INFORMAL SAVINGS OTHER SAVINGS SCHEME SKIBA SSD TIMBER GROUP UWESO UWESO GROUP VILLAGE BANK IN PAKWACH VILLAGE GROUP VILLAGE SAVINGS WOMEN ASSOCIATION YOUTH CONER hh11 q12a:what where the main reasons for this last loan? - first hh11 q12a:what where the main reasons for this last loan? - first hh11 q12a:what where the main reasons for this last loan? - first hh11 q12a:what where the main reasons for this last loan? - first hh11 q12a:what where the main reasons for this last loan? - first 1888 2092 1 basic food needs 2 basic supplies (batteries, gas, etc) 3 livestock 4 livestock production (incl. trade in livestock) 5 agricultural production (incl. trade in agricultural production) 6 household asset 7 cell phone airtime 8 business (not livestock or agriculture) 9 education expenses 10 health expenses 11 repay debt 97 other 98 don't know/no response Sysmiss hh11 q12b:what where the main reasons for this last loan? - second hh11 q12b:what where the main reasons for this last loan? - second hh11 q12b:what where the main reasons for this last loan? - second hh11 q12b:what where the main reasons for this last loan? - second hh11 q12b:what where the main reasons for this last loan? - second 636 3344 1 basic food needs 2 basic supplies (batteries, gas, etc) 3 livestock 4 livestock production (incl. trade in livestock) 5 agricultural production (incl. trade in agricultural production) 6 household asset 7 cell phone airtime 8 business (not livestock or agriculture) 9 education expenses 10 health expenses 11 repay debt 97 other 98 don't know/no response Sysmiss hh11 q12c:what where the main reasons for this last loan? - third hh11 q12c:what where the main reasons for this last loan? - third hh11 q12c:what where the main reasons for this last loan? - third hh11 q12c:what where the main reasons for this last loan? - third hh11 q12c:what where the main reasons for this last loan? - third 151 3829 1 basic food needs 2 basic supplies (batteries, gas, etc) 3 livestock 4 livestock production (incl. trade in livestock) 5 agricultural production (incl. trade in agricultural production) 6 household asset 7 cell phone airtime 8 business (not livestock or agriculture) 9 education expenses 10 health expenses 11 repay debt 97 other 98 don't know/no response Sysmiss hh11 q13:in an emergency situation would you be able to borrow a large amount of hh11 q13:in an emergency situation would you be able to borrow a large amount of hh11 q13:in an emergency situation would you be able to borrow a large amount of hh11 q13:in an emergency situation would you be able to borrow a large amount of hh11 q13:in an emergency situation would you be able to borrow a large amount of 3980 1 yes 2 no 98 dk/n/a hh11 q14:have you or any member of your household bought anything on credit in t hh11 q14:have you or any member of your household bought anything on credit in t hh11 q14:have you or any member of your household bought anything on credit in t hh11 q14:have you or any member of your household bought anything on credit in t hh11 q14:have you or any member of your household bought anything on credit in t 3980 1 yes 2 no 98 dk/n/a hh11 q15: if not why not? hh11 q15: if not why not? hh11 q15: if not why not? hh11 q15: if not why not? hh11 q15: if not why not? 2392 1588 1 2 3 4 97 others 98 dk/n/a Sysmiss hh11 q15: if not why not - other ? hh11 q15: if not why not - other ? hh11 q15: if not why not - other ? hh11 q15: if not why not - other ? hh11 q15: if not why not - other ? 45 BRINGS PROBLEMS CAN ALWAYS AFORD WHAT IS NEEDED CAN NOT AFORD TO PAY BACCK CANNOT PAY IT BACK CANT AFFORD TO PAY DIFFICULT TO PAY GOT FROM HOME BUSINESS HAD WHAT TO EAT HARD TO PAY HAS MONEY FOR BUYING THINGS HAVE OWN MONEY I HAVE A SHOP IT IS HARD TO PAY BACK MY HUSBAND BUYS, I DON'T KNOW NO ONE ACCEPTS TO GIVE CREDIT NO ONE ALOWS TO GIVE ON CREDIT NO ONE CAN GIVE NO ONE CAN GIVE CREDIT NO ONE CAN LEND NO ONE GIVES ON CREDIT NO WAY TO REPAY IT NO WAYS OF PAYING IT BACK NO WAYS OF REPAYMENT NON IS WILLING TO GIVE CREDIT NONE CAN GIVE CREDIT NOTHING TO PAY BACK OWNER DO NOT ACCEPT OWNER DOES NOT ACCEPT OWNERS DONT ALLOW TO TAKE GOODS ON CREDIT OWNERS DON`T ACCEPT PEOPLE DONT ALLOW GIVING THINGS TO OLD PEOPLE ON CREDIT PEOPLE DONT GIVE CREDIT PEOPLE DONT GIVE MONEY FOR CREDIT PEOPLE DONT PREFFER GIVING ITEMS ON CREDIT PEOPLE NO LONGER WANT TO SELL IN CREDIT PEOPLE NOT WILLING TO GIVE CREADIT PPLE DONT GIVE CREDIT RELATIVE GIVE MONEY RELIGION RESPONDENT IS OLD AND THEREFORE NO ONE CAN GIVE HIM ON CREDIT SHOPS ARE FAR THERE IS ENOUGH MONEY THERE IS NO ONE I CAN BORROW FROM TRADERS DONT ALLOW CREDIT VERY DIFFICULT FOR PEOPLE TO LEND YOU MONEY hh11 q16:how many times? hh11 q16:how many times? hh11 q16:how many times? hh11 q16:how many times? hh11 q16:how many times? 1576 2404 1 2 3 4 5 6 7 8 9 10 11 12 13 15 18 20 24 30 50 98 dk/can't remember Sysmiss hh11 q17: how much has your household purchased on credit in the last 3 months w hh11 q17: how much has your household purchased on credit in the last 3 months w hh11 q17: how much has your household purchased on credit in the last 3 months w hh11 q17: how much has your household purchased on credit in the last 3 months w hh11 q17: how much has your household purchased on credit in the last 3 months w 1576 2404 9999999999 165000310.199 1274186514.794 hh11 q18a:the last time you bought something on credit what did you buy - first? hh11 q18a:the last time you bought something on credit what did you buy - first? hh11 q18a:the last time you bought something on credit what did you buy - first? hh11 q18a:the last time you bought something on credit what did you buy - first? hh11 q18a:the last time you bought something on credit what did you buy - first? 1576 2404 1 basic food needs 2 basic supplies (batteries, paraffin, etc) 3 livestock 4 livestock production 5 agricultural production 6 household asset 7 cell phone airtime 8 business (not livestock or agriculture) 9 education expenses 10 health expenses 97 other 98 dk/can't remember Sysmiss hh11 q18b:the last time you bought something on credit what did you buy - second hh11 q18b:the last time you bought something on credit what did you buy - second hh11 q18b:the last time you bought something on credit what did you buy - second hh11 q18b:the last time you bought something on credit what did you buy - second hh11 q18b:the last time you bought something on credit what did you buy - second 739 3241 1 basic food needs 2 basic supplies (batteries, paraffin, etc) 3 livestock 4 livestock production 5 agricultural production 6 household asset 7 cell phone airtime 8 business (not livestock or agriculture) 9 education expenses 10 health expenses 97 other 98 dk/can't remember Sysmiss hh11 q18c:the last time you bought something on credit what did you buy - third? hh11 q18c:the last time you bought something on credit what did you buy - third? hh11 q18c:the last time you bought something on credit what did you buy - third? hh11 q18c:the last time you bought something on credit what did you buy - third? hh11 q18c:the last time you bought something on credit what did you buy - third? 89 3891 1 basic food needs 2 basic supplies (batteries, paraffin, etc) 3 livestock 4 livestock production 5 agricultural production 6 household asset 7 cell phone airtime 8 business (not livestock or agriculture) 9 education expenses 10 health expenses 97 other 98 dk/can't remember Sysmiss hh11 q19: how much do you currently owe (amount outstanding)? - ugx hh11 q19: how much do you currently owe (amount outstanding)? - ugx hh11 q19: how much do you currently owe (amount outstanding)? - ugx hh11 q19: how much do you currently owe (amount outstanding)? - ugx hh11 q19: how much do you currently owe (amount outstanding)? - ugx 1576 2404 9999999999 329961924.523 1786796939.769 hh12 q1a: if the household has received any cash help from any other households hh12 q1a: if the household has received any cash help from any other households hh12 q1a: if the household has received any cash help from any other households hh12 q1a: if the household has received any cash help from any other households hh12 q1a: if the household has received any cash help from any other households 3980 1 yes 2 no 97 others 98 dk/na hh12 q1b:total value received for any cash help from any other households as a g hh12 q1b:total value received for any cash help from any other households as a g hh12 q1b:total value received for any cash help from any other households as a g hh12 q1b:total value received for any cash help from any other households as a g hh12 q1b:total value received for any cash help from any other households as a g 875 3105 100 9999999999 22904222.283 477815640.591 hh12 q2a: if the household has received any food (or any other kind of non-cash hh12 q2a: if the household has received any food (or any other kind of non-cash hh12 q2a: if the household has received any food (or any other kind of non-cash hh12 q2a: if the household has received any food (or any other kind of non-cash hh12 q2a: if the household has received any food (or any other kind of non-cash 3980 1 yes 2 no 98 dk/na hh12 q2b:total value received for any food (or any other kind of non-cash assist hh12 q2b:total value received for any food (or any other kind of non-cash assist hh12 q2b:total value received for any food (or any other kind of non-cash assist hh12 q2b:total value received for any food (or any other kind of non-cash assist hh12 q2b:total value received for any food (or any other kind of non-cash assist 1450 2530 300 800000 26030.586 52483.431 hh12 q3a: if the household has received any cash aid from government agencies as hh12 q3a: if the household has received any cash aid from government agencies as hh12 q3a: if the household has received any cash aid from government agencies as hh12 q3a: if the household has received any cash aid from government agencies as hh12 q3a: if the household has received any cash aid from government agencies as 3980 1 yes 2 no 98 dk/na hh12 q3b:total value received for any cash aid from government agencies as a gif hh12 q3b:total value received for any cash aid from government agencies as a gif hh12 q3b:total value received for any cash aid from government agencies as a gif hh12 q3b:total value received for any cash aid from government agencies as a gif hh12 q3b:total value received for any cash aid from government agencies as a gif 28 3952 2000 795000 138357.143 214875.884 hh12 q4a: if the household has received any food (or any other kind of non-cash hh12 q4a: if the household has received any food (or any other kind of non-cash hh12 q4a: if the household has received any food (or any other kind of non-cash hh12 q4a: if the household has received any food (or any other kind of non-cash hh12 q4a: if the household has received any food (or any other kind of non-cash 3980 1 yes 2 no 98 dk/na hh12 q4b:total value received for any food (or any other kind of non-cash assis hh12 q4b:total value received for any food (or any other kind of non-cash assis hh12 q4b:total value received for any food (or any other kind of non-cash assis hh12 q4b:total value received for any food (or any other kind of non-cash assis hh12 q4b:total value received for any food (or any other kind of non-cash assis 66 3914 2000 540000 68359.091 114804.461 hh12 q5a: if the household has received any cash aid from ngos or religious orga hh12 q5a: if the household has received any cash aid from ngos or religious orga hh12 q5a: if the household has received any cash aid from ngos or religious orga hh12 q5a: if the household has received any cash aid from ngos or religious orga hh12 q5a: if the household has received any cash aid from ngos or religious orga 3980 1 yes 2 no 98 dk/na hh12 q5b:total value received for any cash aid from ngos or religious organizati hh12 q5b:total value received for any cash aid from ngos or religious organizati hh12 q5b:total value received for any cash aid from ngos or religious organizati hh12 q5b:total value received for any cash aid from ngos or religious organizati hh12 q5b:total value received for any cash aid from ngos or religious organizati 43 3937 1500 200000 37127.907 49172.448 hh12 q6a: if the household has received any food (or any other kind of non-cash hh12 q6a: if the household has received any food (or any other kind of non-cash hh12 q6a: if the household has received any food (or any other kind of non-cash hh12 q6a: if the household has received any food (or any other kind of non-cash hh12 q6a: if the household has received any food (or any other kind of non-cash 3980 1 yes 2 no 98 dk/na hh12 q6b: total value received for any food (or any other kind of non-cash assi hh12 q6b: total value received for any food (or any other kind of non-cash assi hh12 q6b: total value received for any food (or any other kind of non-cash assi hh12 q6b: total value received for any food (or any other kind of non-cash assi hh12 q6b: total value received for any food (or any other kind of non-cash assi 276 3704 1000 340000 38251.449 45698.64 h12 q7a: in the past 3 months has your household given any cash help to any othe h12 q7a: in the past 3 months has your household given any cash help to any othe h12 q7a: in the past 3 months has your household given any cash help to any othe h12 q7a: in the past 3 months has your household given any cash help to any othe h12 q7a: in the past 3 months has your household given any cash help to any othe 3980 1 yes 2 no 98 dk/na h12 q7b: what was the total value of this transfer in the last 3 months? h12 q7b: what was the total value of this transfer in the last 3 months? h12 q7b: what was the total value of this transfer in the last 3 months? h12 q7b: what was the total value of this transfer in the last 3 months? h12 q7b: what was the total value of this transfer in the last 3 months? 575 3405 300 9999999999 34819402.083 589251696.058 hh12 q8a:in the past 3 months has your household given any food (or any other ki hh12 q8a:in the past 3 months has your household given any food (or any other ki hh12 q8a:in the past 3 months has your household given any food (or any other ki hh12 q8a:in the past 3 months has your household given any food (or any other ki hh12 q8a:in the past 3 months has your household given any food (or any other ki 3980 1 yes 2 no 98 dk/na hh12 q8b:what was the total value of this transfer in the last 3 months? hh12 q8b:what was the total value of this transfer in the last 3 months? hh12 q8b:what was the total value of this transfer in the last 3 months? hh12 q8b:what was the total value of this transfer in the last 3 months? hh12 q8b:what was the total value of this transfer in the last 3 months? 1249 2731 200 9999999999 40054602.678 631692471.812 hh13 q1:in the past 30 days, was there ever no food to eat of any kind in your h hh13 q1:in the past 30 days, was there ever no food to eat of any kind in your h hh13 q1:in the past 30 days, was there ever no food to eat of any kind in your h hh13 q1:in the past 30 days, was there ever no food to eat of any kind in your h hh13 q1:in the past 30 days, was there ever no food to eat of any kind in your h 3980 1 yes 2 no 98 hh13 q2: how often did this happen in the past 30 days ? hh13 q2: how often did this happen in the past 30 days ? hh13 q2: how often did this happen in the past 30 days ? hh13 q2: how often did this happen in the past 30 days ? hh13 q2: how often did this happen in the past 30 days ? 2119 1861 1 rarely (1 – 2 days) 2 sometimes (3 – 10 days) 3 often (more than 10 days) 98 Sysmiss hh13 q3:in the past 30 days, did you or any household member go to sleep at nigh hh13 q3:in the past 30 days, did you or any household member go to sleep at nigh hh13 q3:in the past 30 days, did you or any household member go to sleep at nigh hh13 q3:in the past 30 days, did you or any household member go to sleep at nigh hh13 q3:in the past 30 days, did you or any household member go to sleep at nigh 3980 1 yes 2 no 98 dk/na hh13 q4: how often did this happen in the past 30 days? hh13 q4: how often did this happen in the past 30 days? hh13 q4: how often did this happen in the past 30 days? hh13 q4: how often did this happen in the past 30 days? hh13 q4: how often did this happen in the past 30 days? 2116 1864 1 rarely (1 – 2 days) 2 sometimes (3 – 10 days) 3 often (more than 10 days) 98 dk/na Sysmiss hh13 q5:in the past 30 days, did you or any household member go a whole day and hh13 q5:in the past 30 days, did you or any household member go a whole day and hh13 q5:in the past 30 days, did you or any household member go a whole day and hh13 q5:in the past 30 days, did you or any household member go a whole day and hh13 q5:in the past 30 days, did you or any household member go a whole day and 3980 1 yes 2 no 98 dk/na hh13 q6:how often did this happen in the past 30 days? hh13 q6:how often did this happen in the past 30 days? hh13 q6:how often did this happen in the past 30 days? hh13 q6:how often did this happen in the past 30 days? hh13 q6:how often did this happen in the past 30 days? 1093 2887 1 rarely (1 – 2 days) 2 sometimes (3 – 10 days) 3 often (more than 10 days) 98 dk/na Sysmiss household members - male adults household members - male adults household members - male adults household members - male adults household members - male adults 3980 1 2 3 4 5 6 7 8 11 household members - female adults household members - female adults household members - female adults household members - female adults household members - female adults 3980 1 2 3 4 5 6 7 10 household members - male children household members - male children household members - male children household members - male children household members - male children 3980 1 2 3 4 5 6 7 8 9 11 household members - female children household members - female children household members - female children household members - female children household members - female children 3980 1 2 3 4 5 6 7 8 9 visitors - male adults visitors - male adults visitors - male adults visitors - male adults visitors - male adults 3980 1 2 3 4 5 6 7 8 10 visitors - female adults visitors - female adults visitors - female adults visitors - female adults visitors - female adults 3980 1 2 3 4 5 6 7 9 13 visitors - male children visitors - male children visitors - male children visitors - male children visitors - male children 3980 1 2 3 4 5 6 7 15 visitors - female children visitors - female children visitors - female children visitors - female children visitors - female children 3980 22 0.179 0.752 hh15 q1 were you aware of an exercise carried out in this village where all peop hh15 q1 were you aware of an exercise carried out in this village where all peop hh15 q1 were you aware of an exercise carried out in this village where all peop hh15 q1 were you aware of an exercise carried out in this village where all peop hh15 q1 were you aware of an exercise carried out in this village where all peop 3980 1 yes 2 no 98 dk/na hh15 q2 were all members of this household registered during that exercise? hh15 q2 were all members of this household registered during that exercise? hh15 q2 were all members of this household registered during that exercise? hh15 q2 were all members of this household registered during that exercise? hh15 q2 were all members of this household registered during that exercise? 3249 731 1 yes 2 no, no household members were registered 3 no, some household members were not registered 4 don’t know 98 Sysmiss hh15 q3 why weren’t all members of this household registered? hh15 q3 why weren’t all members of this household registered? hh15 q3 why weren’t all members of this household registered? hh15 q3 why weren’t all members of this household registered? hh15 q3 why weren’t all members of this household registered? 181 3799 1 some members of the household were not present at the time of the births registration 2 all members of the household were not present at the time of registration 3 some households member refused to be registered 4 all household refused to be registered 5 births registration people did not come to this household 6 some members were not member of the household when registration happened 97 other 98 dk/can't remember Sysmiss hh15 q3 why weren’t all members of this household registered - other? hh15 q3 why weren’t all members of this household registered - other? hh15 q3 why weren’t all members of this household registered - other? hh15 q3 why weren’t all members of this household registered - other? hh15 q3 why weren’t all members of this household registered - other? 17 AM ALONE BIRTH REGISTRATION PEOPLE WERE REGISTERING CHILDREN 5YRS BEL CHOOSE ONLY YOUNG CHILD DO NOT KNOW I DO NOT KNOW NOT BONE NOT YET BORN NOT YET BOUGHT ONLY CHILDREN WERE REGISTERED SOME OF MY CHOLDREN WERE AT SCHOOL (BOARDING) THE REGISTRATION REQUIRED A SPECIFIC AGE THEY SAID FORMS WERE FINISHED WANTED ONLY CHILDREN WHO WERE ABOVE 5 YEARS OLD WE HAD A LOT OF PROBLEMS AND COULD NOT REMEMBER REGISTRATION hh15 q4:when was this household registered? hh15 q4:when was this household registered? hh15 q4:when was this household registered? hh15 q4:when was this household registered? hh15 q4:when was this household registered? 3042 938 12008 989998 396586.412 450472.684 hh15 q5:have any members of this household received a birth certificate? hh15 q5:have any members of this household received a birth certificate? hh15 q5:have any members of this household received a birth certificate? hh15 q5:have any members of this household received a birth certificate? hh15 q5:have any members of this household received a birth certificate? 3231 749 1 yes, all 2 yes, some 3 no 98 dk/can't remember Sysmiss hh15 q6 :overall, how would you describe your treatment by the people conducting hh15 q6 :overall, how would you describe your treatment by the people conducting hh15 q6 :overall, how would you describe your treatment by the people conducting hh15 q6 :overall, how would you describe your treatment by the people conducting hh15 q6 :overall, how would you describe your treatment by the people conducting 3249 731 1 good 2 satisfactory 3 not good 98 dk/can't remember Sysmiss hh15 q7:are you aware of a government programme operating in this area called th hh15 q7:are you aware of a government programme operating in this area called th hh15 q7:are you aware of a government programme operating in this area called th hh15 q7:are you aware of a government programme operating in this area called th hh15 q7:are you aware of a government programme operating in this area called th 3980 1 yes 2 no 98 dk/can't remember hh15 q8:what was the main way you were informed about the programme? hh15 q8:what was the main way you were informed about the programme? hh15 q8:what was the main way you were informed about the programme? hh15 q8:what was the main way you were informed about the programme? hh15 q8:what was the main way you were informed about the programme? 2763 1217 1 people from sage came to this village to inform us about it 2 public meeting in this village 3 public meeting outside of this village 4 village chairperson (lc1) told us individually 5 elders 6 word of mouth 7 births registration notifier 8 radio 97 other 98 dk/can't remember Sysmiss hh15 q8:what was the main way you were informed about the programme - other? hh15 q8:what was the main way you were informed about the programme - other? hh15 q8:what was the main way you were informed about the programme - other? hh15 q8:what was the main way you were informed about the programme - other? hh15 q8:what was the main way you were informed about the programme - other? 49 ANNOUNCED FROM CHURCH ANOTHER VILLAGE ANOTHER VILLAGE OPERI AT A BURIAL PLACE AT BURIAL PLACE AT SCHOOL AT THE DISTRICT BENEFICIARY OF SAGE CDO'S OFFICE CHURCH COMMUNITY BASED OFFIC COUNCILLOR FROM BENEFICIARY OF S GOMBOLALA COUNCILOR IN CHURCH LC 3 CHAIRMAN LC5 OF APAC TO ME ABO LOCAL CHIEF 3 MAYOR OF ANDUKU TOWN MEETING AT THE TOWN C MEGA PHONE MEGAPHONE PARISH CHIEF PEOPLE PEOPLE IN THE VILLAGE PEOPLE IN VILLAGES REFUSED TO ANSWER SAGE TRAINING SUB COUNTY SUB COUNTY CHIEF SUBCOUNTY SUBCOUNTY /GOMBOLALA TOWN COUNCIL VICE CHAIRPERSON hh15 q9:were the program's objectives explained to you? hh15 q9:were the program's objectives explained to you? hh15 q9:were the program's objectives explained to you? hh15 q9:were the program's objectives explained to you? hh15 q9:were the program's objectives explained to you? 2763 1217 1 yes 2 no 98 dk/can't remember Sysmiss hh15 q10:do you know how households will be selected to be beneficiaries by the hh15 q10:do you know how households will be selected to be beneficiaries by the hh15 q10:do you know how households will be selected to be beneficiaries by the hh15 q10:do you know how households will be selected to be beneficiaries by the hh15 q10:do you know how households will be selected to be beneficiaries by the 2763 1217 1 yes 2 no 98 dk/can't remember Sysmiss hh15 q11:how? hh15 q11:how? hh15 q11:how? hh15 q11:how? hh15 q11:how? 1125 2855 1 appropriate answer 2 inappropriate answer 98 Sysmiss hh15 q12: do you feel that these selection criteria are fair? hh15 q12: do you feel that these selection criteria are fair? hh15 q12: do you feel that these selection criteria are fair? hh15 q12: do you feel that these selection criteria are fair? hh15 q12: do you feel that these selection criteria are fair? 1125 2855 1 yes 2 no 3 don’t know Sysmiss hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? 87 3893 1 doesn’t target the poorest people 2 some needy households are missed 3 wealthier households also get money 4 too few households are enrolled 5 the community should select the beneficiaries 6 we don’t understand the eligibility criteria 97 other 98 dk/can't remember Sysmiss hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? 51 3929 1 doesn’t target the poorest people 2 some needy households are missed 3 wealthier households also get money 4 too few households are enrolled 5 the community should select the beneficiaries 6 we don’t understand the eligibility criteria 97 other 98 dk/can't remember Sysmiss hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? 32 3948 1 doesn’t target the poorest people 2 some needy households are missed 3 wealthier households also get money 4 too few households are enrolled 5 the community should select the beneficiaries 6 we don’t understand the eligibility criteria 97 other 98 dk/can't remember Sysmiss hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? hh15 q13:why not? 10 3970 1 doesn’t target the poorest people 2 some needy households are missed 3 wealthier households also get money 4 too few households are enrolled 5 the community should select the beneficiaries 6 we don’t understand the eligibility criteria 97 other 98 dk/can't remember Sysmiss hh15 q13:why not - other? hh15 q13:why not - other? hh15 q13:why not - other? hh15 q13:why not - other? hh15 q13:why not - other? 1 T hh15 q14 :do you know what the value of the transfer is? hh15 q14 :do you know what the value of the transfer is? hh15 q14 :do you know what the value of the transfer is? hh15 q14 :do you know what the value of the transfer is? hh15 q14 :do you know what the value of the transfer is? 2763 1217 1 ugx 23,000 2 other amount 3 don’t know 98 dk/can't remember Sysmiss hh15 q15:how often is the transfer paid? hh15 q15:how often is the transfer paid? hh15 q15:how often is the transfer paid? hh15 q15:how often is the transfer paid? hh15 q15:how often is the transfer paid? 2763 1217 1 once a month 2 other payment period 3 don’t know Sysmiss hh15 q16:do you know how the payment is made? hh15 q16:do you know how the payment is made? hh15 q16:do you know how the payment is made? hh15 q16:do you know how the payment is made? hh15 q16:do you know how the payment is made? 2763 1217 1 payment transferred onto mtn card which can then be converted to cash 2 other answer 3 don’t know Sysmiss hh15 q17:did your household spend any money during any part of the births regist hh15 q17:did your household spend any money during any part of the births regist hh15 q17:did your household spend any money during any part of the births regist hh15 q17:did your household spend any money during any part of the births regist hh15 q17:did your household spend any money during any part of the births regist 2763 1217 1 yes 2 no 98 dk/can't remember Sysmiss hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin 78 3902 10000 1070.513 2449.124 hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin 83 3897 16000 662.651 2307.343 hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin 83 3897 40000 1018.072 4536.065 hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin 7 FOR THE WELFARE OF THE CHURCH L.C/MEN I REGISTRATION OF ELDERS REGISTRATION OF ELDERS (BENEFICIARIES) TAKING PHOTOGRAPHS hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin hh15_q18:in total, how much money did your household spend on the following thin 9 3971 5000 1333.333 1581.139 hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 83 3897 35 1.06 3.98 hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 83 3897 1 3 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 81 3899 1 2 3 4 5 8 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 83 3897 1 2 3 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 82 3898 1 2 4 5 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 83 3897 1 2 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 83 3897 1 5 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 83 3897 1 2 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 5 3975 Sysmiss hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi hh15_q19:in total, how much time did your household spend on each of the followi 2 3978 1 Sysmiss hh15 q20:were your household selected to be a beneficiary of sage? hh15 q20:were your household selected to be a beneficiary of sage? hh15 q20:were your household selected to be a beneficiary of sage? hh15 q20:were your household selected to be a beneficiary of sage? hh15 q20:were your household selected to be a beneficiary of sage? 2763 1217 1 yes 2 no 3 don’t know Sysmiss hh15 q21:has your household received a mtn card from sage programme? hh15 q21:has your household received a mtn card from sage programme? hh15 q21:has your household received a mtn card from sage programme? hh15 q21:has your household received a mtn card from sage programme? hh15 q21:has your household received a mtn card from sage programme? 607 3373 1 yes 2 no Sysmiss hh15 q22:have you attended a demonstration of how the payment is made? hh15 q22:have you attended a demonstration of how the payment is made? hh15 q22:have you attended a demonstration of how the payment is made? hh15 q22:have you attended a demonstration of how the payment is made? hh15 q22:have you attended a demonstration of how the payment is made? 607 3373 1 yes 2 no Sysmiss hh15 q23:where did the demonstration take place? hh15 q23:where did the demonstration take place? hh15 q23:where did the demonstration take place? hh15 q23:where did the demonstration take place? hh15 q23:where did the demonstration take place? 62 3918 1 in this village 2 in another village in this parish 3 in another village in another parish 4 at the sub-county centre 5 further away 98 Sysmiss hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme 2763 1217 1 village chairperson (lc1) 2 parish chief 3 sub-county chief 4 sage staff member 5 sage head office 6 births registration notifier 97 other 98 dk/can't remember Sysmiss hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme hh15 q24: if you wanted to make a complaint or raise an issue with the programme 104 AREA COUNCELLOR CDO CDO'S OFFICE COMMUNITY DEVELOPMENT OFFICER COUNCELLOR COUNCELLOR AT DISTRICT COUNCELOR COUNCILLOR COUNCILOR DISTRICT DEVELOPMENT OFFICE DISTRICT OFFICER DK DNT KNOW DO NOT KNOW DOESN'T NOT MIND DOES`NT KNOW WHO TO CONSULT DON'T KNOW DONT KNOW DONT KNOW ANYBODY DON`T KNOW ELDER ELDERLY CHIEF ELDERS ELDERS REPRESENTATIVE FATHER FRIENDS GOD INTERVIEWER LC 3 LC3 LC5 CHAIRMAN LCI LEADER OF ELDERS IN THE COMMUNITY LOCAL COUNCIL 3 MTN MY GRAND SON NEIGHBOURS NEIGHBOUS NEIHGBOURS NO BODY IS THERE FROM SAGE WE CAN GO TO NO WHERE NOBODY NONE PDC PROBATIN OFFICER PROGRAMME CORDINATOR RDC STEP SON STILL UNKNOWN TO THEM THEY WILL FIND OUT MORE THEY DON`T KNOW WHERE TO START TOWN AGENT TOWN COUNCIL UNLESS CONFERRED THAT THE PERSON IS RESPONSIBLE VILLAGE PROGRAMME CORDINATOR WOMEN LEADER hh15 q25: have you ever made an appeal or raised a complaint with or about the p hh15 q25: have you ever made an appeal or raised a complaint with or about the p hh15 q25: have you ever made an appeal or raised a complaint with or about the p hh15 q25: have you ever made an appeal or raised a complaint with or about the p hh15 q25: have you ever made an appeal or raised a complaint with or about the p 2763 1217 1 yes 2 no 98 dk/can't remember Sysmiss hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? 179 3801 1 village chairperson (lc1) 2 parish chief 3 sub-county chief 4 sage staff member 5 sage head office 6 births registration notifier 97 other 98 dk/can't remember Sysmiss hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? hh15 q26:who was the first person you contacted? 8 CDO ELDER HUSBAND LC3 MEMBER OF PALIAMENT NEIGHBOURS SAGE MATIFIER VILLAGE MEMBERS hh15 q27:did you receive a response to your appeal/complaint from the programme? hh15 q27:did you receive a response to your appeal/complaint from the programme? hh15 q27:did you receive a response to your appeal/complaint from the programme? hh15 q27:did you receive a response to your appeal/complaint from the programme? hh15 q27:did you receive a response to your appeal/complaint from the programme? 179 3801 1 yes 2 only made appeal/complaint very recently 3 have not had a response 98 dk/can't remember Sysmiss hh15 q28:overall, how would you describe your treatment by the sage programme? hh15 q28:overall, how would you describe your treatment by the sage programme? hh15 q28:overall, how would you describe your treatment by the sage programme? hh15 q28:overall, how would you describe your treatment by the sage programme? hh15 q28:overall, how would you describe your treatment by the sage programme? 179 3801 1 very good 2 quite good 3 neither good nor bad 4 quite bad 5 very bad 98 dk/can't remember Sysmiss hh15 q29 would you say there was any shame associated with being enrolled in th hh15 q29 would you say there was any shame associated with being enrolled in th hh15 q29 would you say there was any shame associated with being enrolled in th hh15 q29 would you say there was any shame associated with being enrolled in th hh15 q29 would you say there was any shame associated with being enrolled in th 2763 1217 1 yes 2 no 98 dk/can't remember Sysmiss hh15 q30 would you say there has been any tensions or insecurity caused by the hh15 q30 would you say there has been any tensions or insecurity caused by the hh15 q30 would you say there has been any tensions or insecurity caused by the hh15 q30 would you say there has been any tensions or insecurity caused by the hh15 q30 would you say there has been any tensions or insecurity caused by the 2763 1217 1 yes 2 no 98 dk/can't remember Sysmiss 3980 indicator of each last matching case as primary indicator of each last matching case as primary indicator of each last matching case as primary indicator of each last matching case as primary indicator of each last matching case as primary 3980 duplicate case 1 primary case hh reporting current cash savings hh reporting current cash savings hh reporting current cash savings hh reporting current cash savings hh reporting current cash savings 3980 1 hh reporting savings in formal institutions hh reporting savings in formal institutions hh reporting savings in formal institutions hh reporting savings in formal institutions hh reporting savings in formal institutions 1311 2669 1 Sysmiss hh reporting savings in informal institutions hh reporting savings in informal institutions hh reporting savings in informal institutions hh reporting savings in informal institutions hh reporting savings in informal institutions 1311 2669 1 Sysmiss 1311 2669 1 Sysmiss mean total value of current savings mean total value of current savings mean total value of current savings mean total value of current savings mean total value of current savings 1217 2763 200 6500000 163317.625 514684.672 hh reporting borrowing money in the last 12 months hh reporting borrowing money in the last 12 months hh reporting borrowing money in the last 12 months hh reporting borrowing money in the last 12 months hh reporting borrowing money in the last 12 months 3980 1 mean total value of money borrowed in the last 12 months mean total value of money borrowed in the last 12 months mean total value of money borrowed in the last 12 months mean total value of money borrowed in the last 12 months mean total value of money borrowed in the last 12 months 1855 2125 500 6000000 234849.596 549795.453 mean total value of current outstanding debt mean total value of current outstanding debt mean total value of current outstanding debt mean total value of current outstanding debt mean total value of current outstanding debt 1490 2490 5600000 158521.074 379919.783 hh reporting buying on credit in the last 3 months hh reporting buying on credit in the last 3 months hh reporting buying on credit in the last 3 months hh reporting buying on credit in the last 3 months hh reporting buying on credit in the last 3 months 3980 1 mean total value of purchases on credit in the last 3 months mean total value of purchases on credit in the last 3 months mean total value of purchases on credit in the last 3 months mean total value of purchases on credit in the last 3 months mean total value of purchases on credit in the last 3 months 1549 2431 100 3400000 26138.735 108128.509 mean total value of current outstanding credit debt mean total value of current outstanding credit debt mean total value of current outstanding credit debt mean total value of current outstanding credit debt mean total value of current outstanding credit debt 1524 2456 560000 13118.832 38217.281 hh11_q11==private (family/friend) hh11_q11==private (family/friend) hh11_q11==private (family/friend) hh11_q11==private (family/friend) hh11_q11==private (family/friend) 1888 2092 1 Sysmiss hh11_q11==trader hh11_q11==trader hh11_q11==trader hh11_q11==trader hh11_q11==trader 1888 2092 1 Sysmiss hh11_q11==money lender hh11_q11==money lender hh11_q11==money lender hh11_q11==money lender hh11_q11==money lender 1888 2092 1 Sysmiss hh11_q11==bank hh11_q11==bank hh11_q11==bank hh11_q11==bank hh11_q11==bank 1888 2092 1 Sysmiss hh11_q11==ngo / mfi hh11_q11==ngo / mfi hh11_q11==ngo / mfi hh11_q11==ngo / mfi hh11_q11==ngo / mfi 1888 2092 1 Sysmiss hh11_q11==religious group hh11_q11==religious group hh11_q11==religious group hh11_q11==religious group hh11_q11==religious group 1888 2092 1 Sysmiss hh11_q11==rosca hh11_q11==rosca hh11_q11==rosca hh11_q11==rosca hh11_q11==rosca 1888 2092 1 Sysmiss hh11_q11==vsla (village savings and loan association) hh11_q11==vsla (village savings and loan association) hh11_q11==vsla (village savings and loan association) hh11_q11==vsla (village savings and loan association) hh11_q11==vsla (village savings and loan association) 1888 2092 1 Sysmiss hh11_q11==sacco hh11_q11==sacco hh11_q11==sacco hh11_q11==sacco hh11_q11==sacco 1888 2092 1 Sysmiss hh11_q11==other hh11_q11==other hh11_q11==other hh11_q11==other hh11_q11==other 1888 2092 1 Sysmiss hh11_q11==don't know/no response hh11_q11==don't know/no response hh11_q11==don't know/no response hh11_q11==don't know/no response hh11_q11==don't know/no response 1888 2092 1 Sysmiss hh11_q12a==basic food needs hh11_q12a==basic food needs hh11_q12a==basic food needs hh11_q12a==basic food needs hh11_q12a==basic food needs 1888 2092 1 Sysmiss hh11_q12a==basic supplies (batteries, gas, etc) hh11_q12a==basic supplies (batteries, gas, etc) hh11_q12a==basic supplies (batteries, gas, etc) hh11_q12a==basic supplies (batteries, gas, etc) hh11_q12a==basic supplies (batteries, gas, etc) 1888 2092 1 Sysmiss hh11_q12a==livestock hh11_q12a==livestock hh11_q12a==livestock hh11_q12a==livestock hh11_q12a==livestock 1888 2092 1 Sysmiss hh11_q12a==livestock production (incl. trade in livestock) hh11_q12a==livestock production (incl. trade in livestock) hh11_q12a==livestock production (incl. trade in livestock) hh11_q12a==livestock production (incl. trade in livestock) hh11_q12a==livestock production (incl. trade in livestock) 1888 2092 1 Sysmiss hh11_q12a==agricultural production (incl. trade in agricultural production) hh11_q12a==agricultural production (incl. trade in agricultural production) hh11_q12a==agricultural production (incl. trade in agricultural production) hh11_q12a==agricultural production (incl. trade in agricultural production) hh11_q12a==agricultural production (incl. trade in agricultural production) 1888 2092 1 Sysmiss hh11_q12a==household asset hh11_q12a==household asset hh11_q12a==household asset hh11_q12a==household asset hh11_q12a==household asset 1888 2092 1 Sysmiss hh11_q12a==cell phone airtime hh11_q12a==cell phone airtime hh11_q12a==cell phone airtime hh11_q12a==cell phone airtime hh11_q12a==cell phone airtime 1888 2092 1 Sysmiss hh11_q12a==business (not livestock or agriculture) hh11_q12a==business (not livestock or agriculture) hh11_q12a==business (not livestock or agriculture) hh11_q12a==business (not livestock or agriculture) hh11_q12a==business (not livestock or agriculture) 1888 2092 1 Sysmiss hh11_q12a==education expenses hh11_q12a==education expenses hh11_q12a==education expenses hh11_q12a==education expenses hh11_q12a==education expenses 1888 2092 1 Sysmiss hh11_q12a==health expenses hh11_q12a==health expenses hh11_q12a==health expenses hh11_q12a==health expenses hh11_q12a==health expenses 1888 2092 1 Sysmiss hh11_q12a==repay debt hh11_q12a==repay debt hh11_q12a==repay debt hh11_q12a==repay debt hh11_q12a==repay debt 1888 2092 1 Sysmiss hh11_q12a==other hh11_q12a==other hh11_q12a==other hh11_q12a==other hh11_q12a==other 1888 2092 1 Sysmiss hh11_q12a==don't know/no response hh11_q12a==don't know/no response hh11_q12a==don't know/no response hh11_q12a==don't know/no response hh11_q12a==don't know/no response 1888 2092 1 Sysmiss hh11_q7==no one would lend: no one has money hh11_q7==no one would lend: no one has money hh11_q7==no one would lend: no one has money hh11_q7==no one would lend: no one has money hh11_q7==no one would lend: no one has money 2057 1923 1 Sysmiss hh11_q7==no one would lend: not credit worthy hh11_q7==no one would lend: not credit worthy hh11_q7==no one would lend: not credit worthy hh11_q7==no one would lend: not credit worthy hh11_q7==no one would lend: not credit worthy 2057 1923 1 Sysmiss hh11_q7==prefer not to owe money hh11_q7==prefer not to owe money hh11_q7==prefer not to owe money hh11_q7==prefer not to owe money hh11_q7==prefer not to owe money 2057 1923 1 Sysmiss hh11_q7==don’t need it hh11_q7==don’t need it hh11_q7==don’t need it hh11_q7==don’t need it hh11_q7==don’t need it 2057 1923 1 Sysmiss hh11_q7==other hh11_q7==other hh11_q7==other hh11_q7==other hh11_q7==other 2057 1923 1 Sysmiss hh11_q7==don't know/no response hh11_q7==don't know/no response hh11_q7==don't know/no response hh11_q7==don't know/no response hh11_q7==don't know/no response 2057 1923 1 Sysmiss hh11_q18a==basic food needs hh11_q18a==basic food needs hh11_q18a==basic food needs hh11_q18a==basic food needs hh11_q18a==basic food needs 1576 2404 1 Sysmiss hh11_q18a==basic supplies (batteries, paraffin, etc) hh11_q18a==basic supplies (batteries, paraffin, etc) hh11_q18a==basic supplies (batteries, paraffin, etc) hh11_q18a==basic supplies (batteries, paraffin, etc) hh11_q18a==basic supplies (batteries, paraffin, etc) 1576 2404 1 Sysmiss hh11_q18a==livestock hh11_q18a==livestock hh11_q18a==livestock hh11_q18a==livestock hh11_q18a==livestock 1576 2404 1 Sysmiss hh11_q18a==livestock production hh11_q18a==livestock production hh11_q18a==livestock production hh11_q18a==livestock production hh11_q18a==livestock production 1576 2404 1 Sysmiss hh11_q18a==agricultural production hh11_q18a==agricultural production hh11_q18a==agricultural production hh11_q18a==agricultural production hh11_q18a==agricultural production 1576 2404 1 Sysmiss hh11_q18a==household asset hh11_q18a==household asset hh11_q18a==household asset hh11_q18a==household asset hh11_q18a==household asset 1576 2404 1 Sysmiss hh11_q18a==cell phone airtime hh11_q18a==cell phone airtime hh11_q18a==cell phone airtime hh11_q18a==cell phone airtime hh11_q18a==cell phone airtime 1576 2404 1 Sysmiss hh11_q18a==business (not livestock or agriculture) hh11_q18a==business (not livestock or agriculture) hh11_q18a==business (not livestock or agriculture) hh11_q18a==business (not livestock or agriculture) hh11_q18a==business (not livestock or agriculture) 1576 2404 1 Sysmiss hh11_q18a==education expenses hh11_q18a==education expenses hh11_q18a==education expenses hh11_q18a==education expenses hh11_q18a==education expenses 1576 2404 1 Sysmiss hh11_q18a==health expenses hh11_q18a==health expenses hh11_q18a==health expenses hh11_q18a==health expenses hh11_q18a==health expenses 1576 2404 1 Sysmiss hh11_q18a==other hh11_q18a==other hh11_q18a==other hh11_q18a==other hh11_q18a==other 1576 2404 1 Sysmiss hh11_q18a==dk/can't remember hh11_q18a==dk/can't remember hh11_q18a==dk/can't remember hh11_q18a==dk/can't remember hh11_q18a==dk/can't remember 1576 2404 1 Sysmiss hh11_q15==1 hh11_q15==1 hh11_q15==1 hh11_q15==1 hh11_q15==1 2392 1588 1 Sysmiss hh11_q15==2 hh11_q15==2 hh11_q15==2 hh11_q15==2 hh11_q15==2 2392 1588 1 Sysmiss hh11_q15==3 hh11_q15==3 hh11_q15==3 hh11_q15==3 hh11_q15==3 2392 1588 1 Sysmiss hh11_q15==4 hh11_q15==4 hh11_q15==4 hh11_q15==4 hh11_q15==4 2392 1588 1 Sysmiss hh11_q15==others hh11_q15==others hh11_q15==others hh11_q15==others hh11_q15==others 2392 1588 1 Sysmiss hh11_q15==dk/n/a hh11_q15==dk/n/a hh11_q15==dk/n/a hh11_q15==dk/n/a hh11_q15==dk/n/a 2392 1588 1 Sysmiss hh receiving formal assistance in the last 3 months hh receiving formal assistance in the last 3 months hh receiving formal assistance in the last 3 months hh receiving formal assistance in the last 3 months hh receiving formal assistance in the last 3 months 3980 1 hh receiving cash aid (formal) in the last 3 months hh receiving cash aid (formal) in the last 3 months hh receiving cash aid (formal) in the last 3 months hh receiving cash aid (formal) in the last 3 months hh receiving cash aid (formal) in the last 3 months 3980 1 hh receiving in-kind aid (formal) in the last 3 months hh receiving in-kind aid (formal) in the last 3 months hh receiving in-kind aid (formal) in the last 3 months hh receiving in-kind aid (formal) in the last 3 months hh receiving in-kind aid (formal) in the last 3 months 3980 1 total value of formal assistance received in the last 3 months total value of formal assistance received in the last 3 months total value of formal assistance received in the last 3 months total value of formal assistance received in the last 3 months total value of formal assistance received in the last 3 months 3980 1200000 5160.704 34418.449 (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod 3980 SCG 1 VFSG actual treatment status actual treatment status actual treatment status actual treatment status actual treatment status 3902 78 Control 1 Treatment 2 Do not know SAGE Sysmiss baseline treatment group baseline treatment group baseline treatment group baseline treatment group baseline treatment group 3980 Control 1 Treatment Community ID Community ID Community ID Community ID Community ID 3980 1031030102 4151140802 3092489768.58 737263910.086 District District District District District 3980 APAC KABERAMAIDO KATAKWI KIBOGA KYENJOJO MOROTO NAKAPIRIPIRIT NEBBI County County County County County 3980 CHEKWII JONAM KABERAMAIDO KALAKI KIBOGA KWANIA MARUZI MATHENIKO MOROTO MUNICIPALITY MWENGE PADYERE PIAN TOROMA USUK Sub-County Sub-County Sub-County Sub-County Sub-County 3980 ABONGOMOLA ADUKU AKOKORO ALWA ANYARA APAC ATEGO BUGAAKI BUTIITI CHAWENTE CHEGERE ERUSSI IBUJE KABERAMAIDO TOWN COUNCIL KAKOMONGOLE KALAKI KAPEKE KAPUJAN KATOOKE TOWN COUNCIL KIBOGA TOWN COUNCIL KIGARAALE KISOJO KITOOKE KUCWINY KYARUSOZI KYENJOJO TOWN COUNCIL MAGORO NABILATUK NADUNGET NAMBEISO NDHEW NEBBI TOWN COUNCIL NYANTUNGO OCHERO OMODOI PAKWACH PAKWACH TOWN COUNCIL PANYANGO PANYIMUR RUPA SOUTH DIVISION TOROMA USUK Parish Parish Parish Parish Parish 3980 AAKUM ABALANG ABANY ABAR EAST ABAR WEST ABEDI ABINDU WARD ABOKO ABONGO ABULI ABWOKODIA ABWONG ACABA ACEGERETOLIM ACENLWORO ACHERER ACHUNGI ADEM ADOLO ADYEDA AGANGA AGONG AJAR AKALI AKERE AKETO AKOKORO AKURAO AKUYAM ALARO ALIDO ALIRA ALWOROCENG AMII- AMILO AMII-ABERIDWOGO AMOR WARD AMOR WEST AMORIGOGA AMUN AMUSIA ANGODINGODI ANWANGI ANYARA AORNGA APARISIA APIRE APOI APUUTON ASURET ATANA ATIGOLWOK ATIK ATONGTIDI ATOPI ATULE ATYAK AWILA AYABI AYAGO AYEOLYEC BAMUSUUTA WARD BARAHIIJA BARODILO BORO BUCUNI WARD BUNG BURARRO BUSANZA BUTARA BUTIITI BUZIBWEERA WARD BWENZI CAMPSWAHILI JUU CAMPSWAHILLICHIN CENTRAL WARD CHEGERE CHELEUKO ENJERU ETEKOBER FOREST WARD GANDA HAKATOMA HIMA ILEE ISANDARA JUKIA WARD KABAALE KADINYA KAFUNDA PARISH KAGAA KAGOBE KAIHURA KAKERE KAKINDO KALAKI KALOKWAMERI KAMENU KAMUDA KANYALAM KAPUJAN KASABA KASEGA KASENYI KATAMBALE KATARA WARD KAYEERA KIBIRA KIBOGA TOWN WARD KIDILANI KIGOYERA KIGUNDU KIHUMIRO KIJUMA KIKODA KINOGERO PARISH KIRONGO WARD KIRULUMBA WARD KISOJO KITONGOLE KITONYA KIVUJE KOKORIO KORITOK KORYAMO KOTHIKE KUNGU KYABAGONZA KYABARANGA KYAKATWIRE KYAMITARA KYAMUGENYI KYAMUTASA KYANYABONGO WARD KYAYIMBA KYONGERA LOBODEGI LOBUNEIT LOKAALA LOPUTUK LOTIRIR MABAALE MAGORO MAJENGO MIRAMBI MITOMA MOGOTH MORUANGIBUIN MUKALE MUKUNYU MWARO WARD MYERI PARISH NABOLITH NADUNGET NAITAKWAE NAKADELI NAKOBEKOBE NAMRWODO WARD NAMTHIN WARD NATOPOJO NEBBI HILL WARD NSINDE NTOMA NYACARA WARD NYAIBANDA NYAKAGEI NYAKISI PARISH NYAMABUGA OGWIL OGWOLO OLAGO OLOLANGO OLYEJO OMID OMINYA OMWIBALE ONGEMA ONGICIA ONGOCENG OPETA ORIMAI OWEKO OWINY PACEGO PACHAKA PADOLO PAJUR PAKIA PALATAU PAMINYA LOWER PAMINYA UPPER PAMITU PAMORA UPPER PAROKETO PAYERA POKWERO PUNUATAR PUPU PUVUNGU CENTRAL PUVUNGU WEST RAMOGI RUBANGO RUHOKO RUPA RWAITENGYA RWAMUKOORA SWAGERE TAROGALI TEBOKE TEI-ORO THATHA WARD TOKORA TOROMA USUK VURR Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse 3980 1.535 53.398 17.601 7.91 Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse 3980 1.389 42.718 17.509 7.779 Village Village Village Village Village 3980 1 377 187.178 109.613 serial number serial number serial number serial number serial number 9212 1 4194 2044.01 1200.52 household id household id household id household id household id 9212 10310301020014 41511408020164 30444927813820.1 7464284154888.17 member id member id member id member id member id 9212 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 20 21 hh1 q2:age of respondent hh1 q2:age of respondent hh1 q2:age of respondent hh1 q2:age of respondent hh1 q2:age of respondent 9212 18 97 43.514 19.836 how was date of birth recorded? how was date of birth recorded? how was date of birth recorded? how was date of birth recorded? how was date of birth recorded? 9211 1 1 national id / passport 2 birth certificate 3 voter’s card 4 immunisation card 5 baptism card 6 event calendar 7 self-reported 97 others 98 dk/na Sysmiss hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? 259 BEING TOLD BY THE HUSBAND BIRTH REGISTER BOOK BOOK RECORD BOOK RECORD KEPT BROTHER BROTHER RECALLED CERTIFICATE OF REGISTRATION CHAIRMAN CODE GOT FROM HOUSEHOLD REGIS DAD DAUGHTER DAUGHTER IN-LAW TO THE HHOLD DAUGHTER IN-LAW TO THE HHOLD DAUGHTER INLAW DAUGHTER REMEMBERED DRIVING PERMIT FAMILY BOOK FAMILY GRACE FAMILY RECORD BOOK FAMILY RECORDS FAMILY REG FATHER FATHER RECALL FATHER RECALLED GRAND GRAND MOTHER GRAND MOTHER REMEMBERED GRANDMOTHER CALL GRANDMOTHER RECALLED GRANDMOTHER REPORTED HIDDEN REPORT HOME BIRTH REGISTER HOME RECORD HOME REGISTER HUSBAND RECALLED IDENTITY CARD LC RECORDS MARRIAGE CARD MEDICAL FORM MOTHER MOTHER RECAL MOTHER RECALL MOTHER RECALLED MOTHERS RECALL MOTHER`S RECALL MRM MRM CARD NRM NRM CARD NRM MEMBERSHIP CARD NRM REGOSTER NRN CARD OCEN AND OPIO ARE TWINS OTHER RECALL PARENT/ BROTHER PARTY CARD PARTY ID REAL WIFE RECAL RECAL WIFE RECALL RECALL BROTHER RECALL FATHER RECALL MOTHER RECALL SON RECALLED RECALLED BY THE GRANDMOTHER M RECORD BOOK RECORDS REGISTER SOME ONE RECALL SOMEBODY RESPONDED SON SON RECALL SON RECALLED SPOUSE VILLAGE HOUSE HOLD REGISTER VILLAGE HOUSEHOLD REGISTER VORTERS REPORT VOTERS RECIEPT WIFE WIFE RECALL WIFE RECALLED WRITTEN hh1 q5:gender hh1 q5:gender hh1 q5:gender hh1 q5:gender hh1 q5:gender 9212 1 male 2 female 98 dk/na hh1 q6:what is [name]’s relation to the head of house? hh1 q6:what is [name]’s relation to the head of house? hh1 q6:what is [name]’s relation to the head of house? hh1 q6:what is [name]’s relation to the head of house? hh1 q6:what is [name]’s relation to the head of house? 9212 1 head 2 spouse 3 son/daughter 4 grand child 5 father/mother 6 brother/sister 7 nephew/niece 8 son/daughter-in-law 9 brother/sister-in-law 10 father/mother-in-law 11 grand father/ mother 12 uncle/ aunt 13 servant and their relatives 77 other 97 others 98 dk/na hh1 q7:what is [name]’s current marital status? hh1 q7:what is [name]’s current marital status? hh1 q7:what is [name]’s current marital status? hh1 q7:what is [name]’s current marital status? hh1 q7:what is [name]’s current marital status? 9212 1 married monogamous 2 married polygamous 3 widow / widower 4 divorced / separated 5 never married 98 hh1_q8:what is the id code of [name]’s spouse? hh1_q8:what is the id code of [name]’s spouse? hh1_q8:what is the id code of [name]’s spouse? hh1_q8:what is the id code of [name]’s spouse? hh1_q8:what is the id code of [name]’s spouse? 4784 4428 1 99 12.897 30.978 hh1_q9:is [name]’s father still alive? hh1_q9:is [name]’s father still alive? hh1_q9:is [name]’s father still alive? hh1_q9:is [name]’s father still alive? hh1_q9:is [name]’s father still alive? 9212 1 yes 2 no 98 don't know Sysmiss hh1_q10:what is the id code of [name]’s father? hh1_q10:what is the id code of [name]’s father? hh1_q10:what is the id code of [name]’s father? hh1_q10:what is the id code of [name]’s father? hh1_q10:what is the id code of [name]’s father? 9212 99 not in the roster Sysmiss hh1 q11:what is the highest level of education completed by [name]’s father? hh1 q11:what is the highest level of education completed by [name]’s father? hh1 q11:what is the highest level of education completed by [name]’s father? hh1 q11:what is the highest level of education completed by [name]’s father? hh1 q11:what is the highest level of education completed by [name]’s father? 9212 1 no education 2 p1 3 p2 4 p3 5 p4 6 p5 7 p6 8 p7 9 s1 10 s2 11 s3 12 s4 13 s5 14 s6 15 post sec. training/diploma 16 undergraduate degree 17 postgraduate degree 18 post primary vocational training 97 don’t know Sysmiss hh1_q12 is [name]’s mother still alive? hh1_q12 is [name]’s mother still alive? hh1_q12 is [name]’s mother still alive? hh1_q12 is [name]’s mother still alive? hh1_q12 is [name]’s mother still alive? 9212 1 yes 2 no 98 don't know Sysmiss hh1_q13: what is the id code of [name]’s mother? hh1_q13: what is the id code of [name]’s mother? hh1_q13: what is the id code of [name]’s mother? hh1_q13: what is the id code of [name]’s mother? hh1_q13: what is the id code of [name]’s mother? 9212 99 not in the roster Sysmiss hh1 q14:what is the highest level of education completed by [name]’s mother? hh1 q14:what is the highest level of education completed by [name]’s mother? hh1 q14:what is the highest level of education completed by [name]’s mother? hh1 q14:what is the highest level of education completed by [name]’s mother? hh1 q14:what is the highest level of education completed by [name]’s mother? 9212 1 no education 2 p1 3 p2 4 p3 5 p4 6 p5 7 p6 8 p7 9 s1 10 s2 11 s3 12 s4 13 s5 14 s6 15 post sec. training/diploma 16 undergraduate degree 17 postgraduate degree 18 post primary vocational training 97 don’t know Sysmiss hh1 q15:did [name] sleep under a mosquito net last night? hh1 q15:did [name] sleep under a mosquito net last night? hh1 q15:did [name] sleep under a mosquito net last night? hh1 q15:did [name] sleep under a mosquito net last night? hh1 q15:did [name] sleep under a mosquito net last night? 9212 1 yes 2 no 97 others 98 don't know hh1 q16:is this net currently treated? hh1 q16:is this net currently treated? hh1 q16:is this net currently treated? hh1 q16:is this net currently treated? hh1 q16:is this net currently treated? 3587 5625 1 yes, permanet (long lasting net) 2 yes, net bought within last 12 months 3 yes, treated in the last 12 months 4 not treated 98 don’t know Sysmiss hh1 q17:does [name] have a blanket under which [name] can sleep when it gets co hh1 q17:does [name] have a blanket under which [name] can sleep when it gets co hh1 q17:does [name] have a blanket under which [name] can sleep when it gets co hh1 q17:does [name] have a blanket under which [name] can sleep when it gets co hh1 q17:does [name] have a blanket under which [name] can sleep when it gets co 9210 2 1 yes, own 2 yes, shared 3 no 98 dk/na Sysmiss hh1 q18: how many meals did [name] eat yesterday? hh1 q18: how many meals did [name] eat yesterday? hh1 q18: how many meals did [name] eat yesterday? hh1 q18: how many meals did [name] eat yesterday? hh1 q18: how many meals did [name] eat yesterday? 9212 99 3.274 11.927 hh1 q19: is [name] disable in any way? hh1 q19: is [name] disable in any way? hh1 q19: is [name] disable in any way? hh1 q19: is [name] disable in any way? hh1 q19: is [name] disable in any way? 9212 1 yes 2 no 98 dk/na hh1 q20: was [name] residing in this household 12 months ago? hh1 q20: was [name] residing in this household 12 months ago? hh1 q20: was [name] residing in this household 12 months ago? hh1 q20: was [name] residing in this household 12 months ago? hh1 q20: was [name] residing in this household 12 months ago? 9212 1 same household 2 new-born into this household 3 different household/ same community 4 different household/ different community 98 dk/na hh1 q21: why did [name] move from his hh1 q21: why did [name] move from his hh1 q21: why did [name] move from his hh1 q21: why did [name] move from his hh1 q21: why did [name] move from his 165 9047 1 for education 2 back from school/studies 3 for employment 4 transfer of head of household 5 previous household could not afford to keep him/her 6 death of parent/guardian 7 death of spouse 8 marriage 9 new household 10 retrenchment 11 retirement 12 decided to resettle 13 found new agricultural land 14 starting a non-agricultural business 15 refugee/asylum seeker 97 other 98 dk/na Sysmiss hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others 23 ATTEND TO PATIENT CALLED TO LOOK AFTER THE HOME AS T DISASTER BURNT MY HOUSE DIVORCE DIVORCED DIVORCED FROM HUSBAND DOMESTIC VIOLENCE FAMILY BREAK UP HIS SECOND HOUSEHOLD MY HOUSE GOT BURNT SEPARATION TO HELP FATHER /VISITING TO HELP FATHER/VISITING TO TAKE CARE OF HER CHILDREN TREATING AND TAKING CARE OF MU MUM TREATMENT WENT VISITING hh2 q1:is [name] eligible? (5 years and older) hh2 q1:is [name] eligible? (5 years and older) hh2 q1:is [name] eligible? (5 years and older) hh2 q1:is [name] eligible? (5 years and older) hh2 q1:is [name] eligible? (5 years and older) 9212 1 yes 2 no 98 dk/na hh2 q2:can [name] read or write with understanding in any language? hh2 q2:can [name] read or write with understanding in any language? hh2 q2:can [name] read or write with understanding in any language? hh2 q2:can [name] read or write with understanding in any language? hh2 q2:can [name] read or write with understanding in any language? 9182 30 1 unable to read and write 2 able to read only 3 able to read and write 4 uses braille 98 dk/na Sysmiss hh2 q3:has [name] ever attended any formal school? hh2 q3:has [name] ever attended any formal school? hh2 q3:has [name] ever attended any formal school? hh2 q3:has [name] ever attended any formal school? hh2 q3:has [name] ever attended any formal school? 9211 1 1 never attended 2 attended school in the past 3 currently attending school 98 dk/na Sysmiss hh2 q4:what grade is [name] currently attending? hh2 q4:what grade is [name] currently attending? hh2 q4:what grade is [name] currently attending? hh2 q4:what grade is [name] currently attending? hh2 q4:what grade is [name] currently attending? 952 8260 1 no education 2 p1 3 p2 4 p3 5 p4 6 p5 7 p6 8 p7 9 s1 10 s2 11 s3 12 s4 13 s5 14 s6 15 post sec. training/diploma 16 undergraduate degree 17 postgraduate degree 18 post primary vocational training 98 dk/na Sysmiss hh2 q5:what grade did [name] attend in the last academic year? hh2 q5:what grade did [name] attend in the last academic year? hh2 q5:what grade did [name] attend in the last academic year? hh2 q5:what grade did [name] attend in the last academic year? hh2 q5:what grade did [name] attend in the last academic year? 952 8260 1 no education 2 p1 3 p2 4 p3 5 p4 6 p5 7 p6 8 p7 9 s1 10 s2 11 s3 12 s4 13 s5 14 s6 15 post sec. training/diploma 16 undergraduate degree 17 postgraduate degree 18 post primary vocational training 98 dk/na Sysmiss hh2 q6:who owns the school? hh2 q6:who owns the school? hh2 q6:who owns the school? hh2 q6:who owns the school? hh2 q6:who owns the school? 952 8260 1 gov’t 2 private 3 religious /ngo 97 other report 98 dk/na Sysmiss hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? 2 COMMUNITY COLLEGE KINGDOM hh2 q7:in the last 30 scheduled school days, how many days did [name] miss? hh2 q7:in the last 30 scheduled school days, how many days did [name] miss? hh2 q7:in the last 30 scheduled school days, how many days did [name] miss? hh2 q7:in the last 30 scheduled school days, how many days did [name] miss? hh2 q7:in the last 30 scheduled school days, how many days did [name] miss? 896 8316 1 2 3 4 5 7 8 9 10 12 14 15 16 20 21 30 98 dk/na Sysmiss hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul 177 9035 1 not able to afford 2 too far away 3 poor school quality 4 had to help at home 5 had to help with farm work 6 had to help with family business 7 sick child 8 education not useful 9 parents did not want 10 not willing to attend 11 too young 12 orphaned 13 displaced 14 disabled 15 insecurity 16 school not available 17 culturally unacceptable 97 other 98 dk/na Sysmiss hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul 23 BURIAL CHASED AWAY FROM SCHOOL DEATH OF GRANDFATHER DEATH OF GRANDMOTHER DIRTY CLOTHES FEES FOOD HUNGER HAD NO SCHOOL FEES LOST A RELATIVE NO FOOD NO UNIFORM SCHOOL FEES SHOOL FEES SICK UNIFORM VILLAGE HAD FLOODED AND ROUTES WERE IMPOSIBLE WAITING FOR SCHOOL FEES hh2 q9:why has [name] not attended school? hh2 q9:why has [name] not attended school? hh2 q9:why has [name] not attended school? hh2 q9:why has [name] not attended school? hh2 q9:why has [name] not attended school? 3078 6134 1 not able to afford 2 too far away 3 poor school quality 4 had to help at home 5 had to help with farm work 6 had to help with family business 7 sick child 8 education not useful 9 parents did not want 10 not willing to attend 11 too young 12 orphaned 13 displaced 14 disabled 15 insecurity 16 school not available 17 culturally unacceptable 97 other 98 dk/na Sysmiss hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? 12 CAN'T TELL CULTURALLY UNACCEPTABLE DEATH OF SPONSOR DEATH OF THE FATHER DONT KNOW MENTAL DISTURBENT NO REASON NO SCHOOLS PARENTS WERE DEAD REFUSED TO GO TOSCHOOL SICKNESS, CALAMITY, IN THE FAMILY UNKNOWN hh2 q10:what was the highest grade that [name] completed? hh2 q10:what was the highest grade that [name] completed? hh2 q10:what was the highest grade that [name] completed? hh2 q10:what was the highest grade that [name] completed? hh2 q10:what was the highest grade that [name] completed? 5204 4008 1 no education 2 p1 3 p2 4 p3 5 p4 6 p5 7 p6 8 p7 9 s1 10 s2 11 s3 12 s4 13 s5 14 s6 15 post sec. training/diploma 16 undergraduate degree 17 postgraduate degree 18 post primary vocational training 98 dk/na Sysmiss hh2 q11:why did [name] leave school? hh2 q11:why did [name] leave school? hh2 q11:why did [name] leave school? hh2 q11:why did [name] leave school? hh2 q11:why did [name] leave school? 5202 4010 1 completed desired schooling 2 further schooling not available 3 not able to afford 4 too far away 5 had to help at home 6 had to help with farm work 7 death of sponsor 8 had to help with family business 9 poor school quality 10 parents did not want 11 not willing to further attend 12 poor academic progress 13 sickness/calamity in family 14 pregnancy 15 marriage 97 other 98 dk/na Sysmiss hh2 q11:why did [name] leave school?- other hh2 q11:why did [name] leave school?- other hh2 q11:why did [name] leave school?- other hh2 q11:why did [name] leave school?- other hh2 q11:why did [name] leave school?- other 100 BEWITCHED CHANGE IN HOUSEHOLD CHILD WANT TO GO TO BOARDING SCHOOL CULTURAL BELIEF THAT GIRLS SHOULDNT CULTURALLY NOT ALLOWED CULTURALLY UNACCEPTABLE CULTURALLY UNACCEPTED CULTURALLY UNACEPTABLE CULTURE DEATH OF PARENT DISABILITY DISABILITY OF THE FATHER DISABLED LAME DISPLACEMENT DOESNT KNOW AND WIFE IS ABSENT DURI DOMESTIC VIOLENCE DON'T KNOW DONT KNOW DULL DULL IN CLASS EDUCATED GIRLS GET SPOILS EVIL SPIRIT FEES HAD A MENTAL HISTORY HOLIDAY I DNT SEE THE IMPORTANCE OF EDUCATI IGNORANCE IMPRISON- HE WAS ARRESTED FOR IMPRG INSECURITY INSECURITY IN THE AREA DISRUPTED HI INSECURITY MOVED FROM NORTHERN UGAN INSERGENCIES INSECURITY INSTABILITY JOIN ARMY LACK OF SCHOOL FEES LAZY CHILD MENTALLY DIFICULTY MIGRATION MIGRATION MADE HER FAIL TO CATCH UP MY FATHER MARRIED ANOTHER WIFE AND NEED TO FINISH NURSERY FIRST THEN J NO UNIFORM NOT WILLING TO ATTEND ORPHANED PEER GROUPS POOR PERFORMANCE AT PRIMARY LEVEL REBEL ACTIVITY REFUSED RESPONSIBILITIES SICKNESS THE FAMILY WAS RICH AND SAW NO NEED THERE WAS WAR IN TESO THEY CHASED AWAY LANGI FROM BUGANDA UNKNOWN REASON WAITING FOR HER RESULTS WAITING FOR RESULT WANTS THE BRAIN HEAD TO RELAX BEFOR WAR WARS WARS IN CONGO WEAK IN LEARNING WIFE DOESNT KNOW WORK WORKING hh3 q1:during the past 30 days did [name] suffer from any illness or injury, th hh3 q1:during the past 30 days did [name] suffer from any illness or injury, th hh3 q1:during the past 30 days did [name] suffer from any illness or injury, th hh3 q1:during the past 30 days did [name] suffer from any illness or injury, th hh3 q1:during the past 30 days did [name] suffer from any illness or injury, th 9212 1 yes 2 no 98 dk/na hh3 q2:for how many days did [name] have to stop his/her usual activities due t hh3 q2:for how many days did [name] have to stop his/her usual activities due t hh3 q2:for how many days did [name] have to stop his/her usual activities due t hh3 q2:for how many days did [name] have to stop his/her usual activities due t hh3 q2:for how many days did [name] have to stop his/her usual activities due t 2444 6768 1 98 12.588 12.391 hh3 q3:was anyone consulted (e.g. a doctor, nurse, pharmacist or traditional he hh3 q3:was anyone consulted (e.g. a doctor, nurse, pharmacist or traditional he hh3 q3:was anyone consulted (e.g. a doctor, nurse, pharmacist or traditional he hh3 q3:was anyone consulted (e.g. a doctor, nurse, pharmacist or traditional he hh3 q3:was anyone consulted (e.g. a doctor, nurse, pharmacist or traditional he 2444 6768 1 yes 2 no 98 dk/na Sysmiss hh3 q4:why was no one consulted for the major illness or injury? hh3 q4:why was no one consulted for the major illness or injury? hh3 q4:why was no one consulted for the major illness or injury? hh3 q4:why was no one consulted for the major illness or injury? hh3 q4:why was no one consulted for the major illness or injury? 589 8623 1 illness mild 2 treated illness at home 3 facility too far 4 no money for consultation 5 too dangerous to go 6 available facilities are costly 7 no qualified staff present 8 staff attitude not good 9 too busy / long waiting time 10 facility is inaccessible 11 facility is closed 12 facility is destroyed 13 drugs not available 97 other 98 dk/na Sysmiss hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? 16 HAS TRIED BEFORE AND DOES NOT GET CHANGE NO ENERGY TO MOVE NO FACILITY TO USE TO GO TO HOSPITAL SINCE CANT USE BICYCLE NO MEANS TO GET THERE NO ONE COULD TAKE HER NO ONE TO TAKE ME NO ONE TO TAKE ME TO THE HOSPITAL NO ONE TO TAKE ME TO THE HOSPITALS NO ONE WOULD LEAD HIM TO THE FACILITY BECAUSE HE IS BLIND NO STRENGH TO RIDE A BICYCLE TO TAKE ME THERE NO STRENTH TO GO TO THE HOSPITAL NO TRANSPORT NONE CAN TAKE TO HOSPITAL WAS TOO SICK AND COULD NOT SIT ON THE BICYCE hh3 q5:where did [name] go for the first consultation during the past 30 days? hh3 q5:where did [name] go for the first consultation during the past 30 days? hh3 q5:where did [name] go for the first consultation during the past 30 days? hh3 q5:where did [name] go for the first consultation during the past 30 days? hh3 q5:where did [name] go for the first consultation during the past 30 days? 1813 7399 1 neighbour/friend 2 community health worker 3 homapak drug distributor 4 ordinary shop 5 drug shop/pharmacy 6 private clinic 7 private hospital 8 health unit government 9 health unit ngo 10 hospital government 11 hospital ngo 12 traditional 13 = school nurse 97 other 98 dk/na Sysmiss hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - 9 DISPENSARY GNLD DISTRIBUTOR LACOR MISSION HOSPITAL MISSION MISSION MENGO MISSIONARY HOSPITAL hh3 q6a:how far was this place where consultation was sought - kms? hh3 q6a:how far was this place where consultation was sought - kms? hh3 q6a:how far was this place where consultation was sought - kms? hh3 q6a:how far was this place where consultation was sought - kms? hh3 q6a:how far was this place where consultation was sought - kms? 1800 7412 1 1.5 1.6 2 2.12 2.4 2.5 3 3.1 3.2 3.4 3.5 3.6 3.75 4 4.2 4.3 4.5 4.8 5 6 6.2 6.4 7 7.2 7.5 8 8.5 9 9.6 10 10.8 11 11.2 12 12.5 12.6 12.8 13 14 14.4 14.5 15 16 16.2 17 17.6 18 19 19.1 19.2 19.5 20 21 22 22.4 23 24 25 25.6 26 27 27.2 28 28.8 30 31 32 35 35.2 36 37 38.2 38.4 40 44 44.8 45 47 48 50 54 55 56 57.6 58 60 60.8 66.5 70 71 72 74 79 80 85 90 92 94 98 100 110 123.2 138 157 175 200 255 300 327 400 410 480 515 998 dk/na Sysmiss hh3 q6b:how far was this place where consultation was sought - time(minutes)? hh3 q6b:how far was this place where consultation was sought - time(minutes)? hh3 q6b:how far was this place where consultation was sought - time(minutes)? hh3 q6b:how far was this place where consultation was sought - time(minutes)? hh3 q6b:how far was this place where consultation was sought - time(minutes)? 1800 7412 1 2 3 4 5 6 7 8 10 15 20 25 28 30 35 37 40 45 46 50 60 65 70 75 80 90 96 100 120 130 140 150 160 170 180 190 200 210 220 240 250 260 280 300 320 360 390 420 480 540 580 600 605 660 998 dk/na Sysmiss hh3 q7:what was the cost of this consultation, including any medicine prescribe hh3 q7:what was the cost of this consultation, including any medicine prescribe hh3 q7:what was the cost of this consultation, including any medicine prescribe hh3 q7:what was the cost of this consultation, including any medicine prescribe hh3 q7:what was the cost of this consultation, including any medicine prescribe 1800 7412 9999999998 1150004866.798 3191104214.126 hh3 q8:what was the cost of this consultation, including any medicine prescribe hh3 q8:what was the cost of this consultation, including any medicine prescribe hh3 q8:what was the cost of this consultation, including any medicine prescribe hh3 q8:what was the cost of this consultation, including any medicine prescribe hh3 q8:what was the cost of this consultation, including any medicine prescribe 1800 7412 9999999998 405573991.113 1973126503.417 hh4_q1:is [name] eligible? (5 years and older) hh4_q1:is [name] eligible? (5 years and older) hh4_q1:is [name] eligible? (5 years and older) hh4_q1:is [name] eligible? (5 years and older) hh4_q1:is [name] eligible? (5 years and older) 9212 1 yes 2 no 97 others 98 dk/na hh4_q2:during the last 7 days has [name] worked for payment in cash/in-kind out hh4_q2:during the last 7 days has [name] worked for payment in cash/in-kind out hh4_q2:during the last 7 days has [name] worked for payment in cash/in-kind out hh4_q2:during the last 7 days has [name] worked for payment in cash/in-kind out hh4_q2:during the last 7 days has [name] worked for payment in cash/in-kind out 9212 1 yes 2 no 98 don't know hh4_q3:during the past 7 days has [name] worked on household owned land or with hh4_q3:during the past 7 days has [name] worked on household owned land or with hh4_q3:during the past 7 days has [name] worked on household owned land or with hh4_q3:during the past 7 days has [name] worked on household owned land or with hh4_q3:during the past 7 days has [name] worked on household owned land or with 9212 1 yes 2 no 98 don't know hh4_q4:during the past 7 days has [name] worked in his/her own business or busi hh4_q4:during the past 7 days has [name] worked in his/her own business or busi hh4_q4:during the past 7 days has [name] worked in his/her own business or busi hh4_q4:during the past 7 days has [name] worked in his/her own business or busi hh4_q4:during the past 7 days has [name] worked in his/her own business or busi 9212 1 yes 2 no 98 don't know hh4_q5:even if [name] did not work in the last 7 days for some reason, did [nam hh4_q5:even if [name] did not work in the last 7 days for some reason, did [nam hh4_q5:even if [name] did not work in the last 7 days for some reason, did [nam hh4_q5:even if [name] did not work in the last 7 days for some reason, did [nam hh4_q5:even if [name] did not work in the last 7 days for some reason, did [nam 2343 6869 1 yes 2 no 98 dk/na Sysmiss hh4_q6:has [name] looked for and/or available for work in the last 7 days? hh4_q6:has [name] looked for and/or available for work in the last 7 days? hh4_q6:has [name] looked for and/or available for work in the last 7 days? hh4_q6:has [name] looked for and/or available for work in the last 7 days? hh4_q6:has [name] looked for and/or available for work in the last 7 days? 2155 7057 1 yes 2 no Sysmiss hh4_q7:what is the main reason that [name] did not look for a job in the last 7 hh4_q7:what is the main reason that [name] did not look for a job in the last 7 hh4_q7:what is the main reason that [name] did not look for a job in the last 7 hh4_q7:what is the main reason that [name] did not look for a job in the last 7 hh4_q7:what is the main reason that [name] did not look for a job in the last 7 2223 6989 1 student 2 household duties 3 too young 4 too old/retired 5 disabled 6 sick 7 waiting for a reply from employer 8 waiting for a recall from employer 9 waiting for busy season 97 other Sysmiss hh4_q8a1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8a1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8a1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8a1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8a1:during the last 7 days, how many hours did [name] work on each day - d 6722 2490 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8a2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8a2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8a2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8a2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8a2:during the last 7 days, how many hours did [name] work on each day - h 6722 2490 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 24 98 dk/na Sysmiss hh4_q8b1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8b1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8b1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8b1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8b1:during the last 7 days, how many hours did [name] work on each day - d 6722 2490 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8b2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8b2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8b2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8b2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8b2:during the last 7 days, how many hours did [name] work on each day - h 6722 2490 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 98 dk/na Sysmiss hh4_q8c1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8c1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8c1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8c1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8c1:during the last 7 days, how many hours did [name] work on each day - d 6722 2490 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8c2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8c2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8c2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8c2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8c2:during the last 7 days, how many hours did [name] work on each day - h 6722 2490 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 98 dk/na Sysmiss hh4_q8d1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8d1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8d1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8d1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8d1:during the last 7 days, how many hours did [name] work on each day - d 6722 2490 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8d2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8d2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8d2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8d2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8d2:during the last 7 days, how many hours did [name] work on each day - h 6722 2490 1 2 3 4 5 6 7 8 9 10 11 12 13 14 17 98 dk/na Sysmiss hh4_q8e1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8e1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8e1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8e1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8e1:during the last 7 days, how many hours did [name] work on each day - d 6722 2490 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8e2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8e2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8e2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8e2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8e2:during the last 7 days, how many hours did [name] work on each day - h 6722 2490 1 2 3 4 5 6 7 8 9 10 11 12 13 14 16 17 98 dk/na Sysmiss hh4_q8f1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8f1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8f1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8f1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8f1:during the last 7 days, how many hours did [name] work on each day - d 6721 2491 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8f2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8f2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8f2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8f2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8f2:during the last 7 days, how many hours did [name] work on each day - h 6722 2490 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 98 dk/na Sysmiss hh4_q8g1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8g1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8g1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8g1:during the last 7 days, how many hours did [name] work on each day - d hh4_q8g1:during the last 7 days, how many hours did [name] work on each day - d 6722 2490 1 2 3 4 5 6 7 98 dk/na Sysmiss hh4_q8g2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8g2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8g2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8g2:during the last 7 days, how many hours did [name] work on each day - h hh4_q8g2:during the last 7 days, how many hours did [name] work on each day - h 6722 2490 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 24 98 dk/na Sysmiss hh4 q9:what was [name]’s main employment status during the last 7 days? hh4 q9:what was [name]’s main employment status during the last 7 days? hh4 q9:what was [name]’s main employment status during the last 7 days? hh4 q9:what was [name]’s main employment status during the last 7 days? hh4 q9:what was [name]’s main employment status during the last 7 days? 6722 2490 1 employer 2 own account worker 3 unpaid family worker 4 working on home farm 5 gov’t permanent 6 gov’t temporary 7 private permanent 8 private temporary/casual 9 student 98 Sysmiss hh4 q10:what was the nature of [name]’s work (for main employment status) tha hh4 q10:what was the nature of [name]’s work (for main employment status) tha hh4 q10:what was the nature of [name]’s work (for main employment status) tha hh4 q10:what was the nature of [name]’s work (for main employment status) tha hh4 q10:what was the nature of [name]’s work (for main employment status) tha 6448 2764 1 armed forces 11 legislators and senior officials 12 corporate managers 13 general managers skilled agricultural and fishery workers 21 physical, mathematical and engineering science professionals 22 life science and health professionals 23 teaching professionals 24 other professionals craft and related trade workers 31 physical and engineering science associate professionals 32 life science and health associate professionals 33 teaching associate professionals 34 other associate professionals plant and machine operators and assemblers 41 office clerks 42 customer service clerks elementary occupations 51 personal and protective service workers 52 models, sales persons and demonstrators armed forces 61 market oriented skilled agricultural and fishery workers 62 subsistence agricultural and fishery workers 71 extraction and building trade workers 72 metal, machinery and related trades workers 73 precision, handicraft, printing and related trades workers 74 other craft and related trades workers 81 stationary plant and related operators 82 machine operators and assemblers 83 drivers and mobile plant operators 91 sales and services elementary occupations 92 agricultural, fishery and related labourers 93 labourers in mining, construction, manufacturing and transport 97 others 98 dk/na Sysmiss hh4 q10:what was the nature of [name]’s work (for main employment status) that hh4 q11:how many months did [name] work at this main activity during the last 1 hh4 q11:how many months did [name] work at this main activity during the last 1 hh4 q11:how many months did [name] work at this main activity during the last 1 hh4 q11:how many months did [name] work at this main activity during the last 1 hh4 q11:how many months did [name] work at this main activity during the last 1 6505 2707 98 11.177 14.779 hh4 q12:in addition to the main occupation, did [name] also work in any subsidi hh4 q12:in addition to the main occupation, did [name] also work in any subsidi hh4 q12:in addition to the main occupation, did [name] also work in any subsidi hh4 q12:in addition to the main occupation, did [name] also work in any subsidi hh4 q12:in addition to the main occupation, did [name] also work in any subsidi 6722 2490 1 yes 2 no 98 dk/n/a Sysmiss hh4 q13:what was the nature of [name]’s subsidiary occupation during the last hh4 q13:what was the nature of [name]’s subsidiary occupation during the last hh4 q13:what was the nature of [name]’s subsidiary occupation during the last hh4 q13:what was the nature of [name]’s subsidiary occupation during the last hh4 q13:what was the nature of [name]’s subsidiary occupation during the last 1569 7643 1 armed forces 11 legislators and senior officials 12 corporate managers 13 general managers skilled agricultural and fishery workers 21 physical, mathematical and engineering science professionals 22 life science and health professionals 23 teaching professionals 24 other professionals craft and related trade workers 31 physical and engineering science associate professionals 32 life science and health associate professionals 33 teaching associate professionals 34 other associate professionals plant and machine operators and assemblers 41 office clerks 42 customer service clerks elementary occupations 51 personal and protective service workers 52 models, sales persons and demonstrators armed forces 61 market oriented skilled agricultural and fishery workers 62 subsistence agricultural and fishery workers 71 extraction and building trade workers 72 metal, machinery and related trades workers 73 precision, handicraft, printing and related trades workers 74 other craft and related trades workers 81 stationary plant and related operators 82 machine operators and assemblers 83 drivers and mobile plant operators 91 sales and services elementary occupations 92 agricultural, fishery and related labourers 93 labourers in mining, construction, manufacturing and transport 97 others 98 dk/na Sysmiss hh4 q13:what was the nature of [name]’s subsidiary occupation during the last 7 hh4 q14a:what were the main and secondary employment statuses of [name] during t hh4 q14a:what were the main and secondary employment statuses of [name] during t hh4 q14a:what were the main and secondary employment statuses of [name] during t hh4 q14a:what were the main and secondary employment statuses of [name] during t hh4 q14a:what were the main and secondary employment statuses of [name] during t 9136 76 1 employer 2 own account worker 3 unpaid family worker 4 working on home farm 5 gov’t permanent 6 gov’t temporary/casual 7 private permanent 8 private temporary/casual 9 full time student 10 pensioner/retired 11 children not at school 12 none 97 other 98 Sysmiss hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during 11 BROKER BUSINESS HOUSEHOLD DUTIES HOUSEWIFE JUST DELIVERED NOT KNOWN PRISON SERVANT SICK hh4 q14b:what were the main and secondary employment statuses of [name] during t hh4 q14b:what were the main and secondary employment statuses of [name] during t hh4 q14b:what were the main and secondary employment statuses of [name] during t hh4 q14b:what were the main and secondary employment statuses of [name] during t hh4 q14b:what were the main and secondary employment statuses of [name] during t 9135 77 1 employer 2 own account worker 3 unpaid family worker 4 working on home farm 5 gov’t permanent 6 gov’t temporary/casual 7 private permanent 8 private temporary/casual 9 full time student 10 pensioner/retired 11 children not at school 12 none 97 other 98 Sysmiss hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during 41 DIG FOR MONEY FISHING FISHING- SMALL SCALE MAKING LOCAL BREWS MINING GOLD ORANGE GARDEN PASTOR REVERED SALE OF CHARCOAL SELING LABOUR SELLING FISH SELLING LABOR SELLING LABOUR TRADITIONAL BIRTH ATTENDANT hh4 q15:is [name]’s aged 17 years or below or 50 years and above? hh4 q15:is [name]’s aged 17 years or below or 50 years and above? hh4 q15:is [name]’s aged 17 years or below or 50 years and above? hh4 q15:is [name]’s aged 17 years or below or 50 years and above? hh4 q15:is [name]’s aged 17 years or below or 50 years and above? 9212 1 yes 2 no 98 dk/na hh4 q16:during the past 7 days how many hours did [name] spend fetching water f hh4 q16:during the past 7 days how many hours did [name] spend fetching water f hh4 q16:during the past 7 days how many hours did [name] spend fetching water f hh4 q16:during the past 7 days how many hours did [name] spend fetching water f hh4 q16:during the past 7 days how many hours did [name] spend fetching water f 3522 5690 1 2 3 4 5 6 7 8 9 10 11 12 14 15 16 18 20 21 24 28 35 40 42 49 56 70 998 dk/na Sysmiss hh4 q17:during the past 7 days how many hours did [name] spend fetching firewoo hh4 q17:during the past 7 days how many hours did [name] spend fetching firewoo hh4 q17:during the past 7 days how many hours did [name] spend fetching firewoo hh4 q17:during the past 7 days how many hours did [name] spend fetching firewoo hh4 q17:during the past 7 days how many hours did [name] spend fetching firewoo 3521 5691 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 21 22 28 30 35 36 42 45 56 998 dk/na Sysmiss hh4 q18:during the past 7 days how many hours did [name] spend cooking for the hh4 q18:during the past 7 days how many hours did [name] spend cooking for the hh4 q18:during the past 7 days how many hours did [name] spend cooking for the hh4 q18:during the past 7 days how many hours did [name] spend cooking for the hh4 q18:during the past 7 days how many hours did [name] spend cooking for the 3522 5690 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 20 21 22 23 24 25 26 27 28 29 30 31 32 35 37 40 42 49 59 63 70 998 dk/na Sysmiss hh4 q19:during the past 7 days how many hours did [name] spend caring for child hh4 q19:during the past 7 days how many hours did [name] spend caring for child hh4 q19:during the past 7 days how many hours did [name] spend caring for child hh4 q19:during the past 7 days how many hours did [name] spend caring for child hh4 q19:during the past 7 days how many hours did [name] spend caring for child 3522 5690 1 2 3 4 5 6 7 8 9 10 12 14 15 16 18 20 21 24 25 28 35 36 40 42 56 63 84 998 dk/na Sysmiss hh4 q20:during the past 7 days how many hours did [name] spend doing other chor hh4 q20:during the past 7 days how many hours did [name] spend doing other chor hh4 q20:during the past 7 days how many hours did [name] spend doing other chor hh4 q20:during the past 7 days how many hours did [name] spend doing other chor hh4 q20:during the past 7 days how many hours did [name] spend doing other chor 3522 5690 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 19 20 21 24 28 30 35 36 40 44 49 998 dk/na Sysmiss hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during hh4 q14a:what were the main and secondary employment statuses of [name] during 5 9207 1 baby sitter 2 broker 3 household duties 4 housewife 5 sick Sysmiss hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during hh4 q14b:what were the main and secondary employment statuses of [name] during 14 9198 1 dig for money 2 fishing 3 fishing- small scale 4 mining gold 5 orange garden 6 pastor 7 selling labor 8 selling labour 9 traditional birth attendant Sysmiss hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others hh1 q21: why did [name] move from his - others 8 9204 1 abandoned by their parents 2 baby to house help 3 change in family 4 divorce 5 divorced from husband 6 family break up 7 join parents 8 moved with mother 9 new born 10 parents divorced 11 return to family 12 separation 13 to help father /visiting 14 to help father/visiting 15 treating and taking care of mu mum 16 treatment 17 visit Sysmiss hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? hh2 q6:who owns the school - other? 9212 1 community 2 parents school 3 results were detained Sysmiss hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul hh2 q8:what was the main reason that [name] missed a day in the last 30 schedul 9 9203 1 bad roads 2 books still missing 3 books were still missing 4 bought school uniform 5 burial 6 chamge of school 7 chartechism 8 chased away from school 9 clothes were dirty 10 death 11 death at home 12 death of grandmother 13 didn`t have school uniform because i hadn`t yet bought 14 dint wash 15 dirty clothes 16 dirty uniform 17 fees 18 finished exams and was waiting for time to pick report 19 gone to visit grandmother 20 had burnt the hse 21 had gone to see the mother 22 had no books 23 had no school uniform 24 his uniform was dirty 25 his uniform was still wet 26 hunger 27 is away from home 28 items not available like books 29 lack of books 30 lack of uniform 31 lost a family 32 lost a relative 33 lost relative 34 no books 35 no books and pen 36 no uniform 37 no uniforms 38 not available 39 not washed the uniform 40 prayers 41 rainfall 42 rainfall fell that we could not go to school 43 report 44 scholastic matenals 45 school fees 46 school was closed due to poor hygiene 47 sick 48 sick mother 49 some items like books were not available 50 teachers not available 51 too much rain 52 uniform 53 uniform dirity 54 uniform dirty 55 uniform was dirty 56 village had flooded and routes were imposible 57 waiting for school fees Sysmiss hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? hh2 q9:why has [name] not attended school - other? 5 9207 1 baby sitter 2 can't tell 3 culturally unacceptable 4 death of the father 5 disabled 6 dont know 7 parents were dead 8 results were detained 9 sickness, calamity, in the family 10 still young Sysmiss hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? hh3 q4:why was no one consulted for the major illness or injury - others? 6 9206 1 has tried before and does not get change 2 mother had travelled 3 no energy to move 4 no facility to use to go to hospital since cant use bicycle 5 no one to take me 6 no one to take them 7 no transport 8 was too sick and could not sit on the bicyce Sysmiss hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - hh3 q5:where did [name] go for the first consultation during the past 30 days - 7 9205 1 broke the leg 2 dispensary 3 father 4 lacor mission hospital 5 local herbs 6 mission 7 mission hospital 8 mission mengo 9 missionary 10 missionary hospital 11 religious church leader Sysmiss hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? hh1 q:how was date of birth recorded - other? 259 8953 1 AUNT 2 AUNT RECALL 3 AUNTY RECALLED 4 BEING TOLD BY THE HUSBAND 5 BIRTH REGISTER 6 BOOK 7 BOOK RECORD 8 BOOK RECORD KEPT 9 BOOKS RECORDS 10 BROTHER 11 BROTHER RECALLED 12 BROTHER RECODED 13 CANT REMEMBER 14 CARETAKER 15 CERTIFICATE OF REGISTRATION 16 CHAIRMAN 17 CHILD HEALTH CARD 18 CODE GOT FROM HOUSEHOLD REGIS 19 DAD 20 DAUGHTER 21 DAUGHTER IN-LAW TO THE HHOLD 22 DAUGHTER IN-LAW TO THE HHOLD 23 DAUGHTER INLAW 24 DAUGHTER REMEMBERED 25 DRIVING PERMIT 26 FAMILY BOOK 27 FAMILY GRACE 28 FAMILY RECORD BOOK 29 FAMILY RECORDS 30 FAMILY REG 31 FAMILY REGISTER 32 FAMILY REGISTER BOOK 33 FATHER 34 FATHER RECAL 35 FATHER RECALE 36 FATHER RECALL 37 FATHER RECALLED 38 FATHER RECORDS 39 FATHERRECAL 40 FRIEND RECALLED 41 G.MUM 42 GRAND 43 GRAND MOM 44 GRAND MOTHER 45 GRAND MOTHER RECALL 46 GRAND MOTHER RECALLED 47 GRAND MOTHER REMEMBERED 48 GRAND MUM 49 GRANDCHILD RECALLED 50 GRANDFATHER 51 GRANDMOTHER 52 GRANDMOTHER CALL 53 GRANDMOTHER RECALLED 54 GRANDMOTHER REPORTED 55 GRANDMUM 56 GRANDY 57 GUARDIAN RECALLED 58 HE WROTE ALL THE CHILDRENS BI 59 HEALTH CARD 60 HIDDEN REPORT 61 HOME BIRTH REGISTER 62 HOME BORTH REGISTER 63 HOME RECORD 64 HOME REGISTER 65 HOSPITAL BOOK RECORDS 66 HOUSEHOLD REGISTER WAS USED 67 HUSBAND RECALLED 68 IDENTITY CARD 69 IMMUNISATION BOOK 70 LC RECORDS 71 LCI ROSTER 72 MARRIAGE CARD 73 MEDICAL FORM 74 MOTHER 75 MOTHER RECAL 76 MOTHER RECALL 77 MOTHER RECALLED 78 MOTHERS RECALL 79 MOTHER`S RECALL 80 MRM 81 MRM CARD 82 MUM 83 NEIGHBOR RECALLED 84 NRM 85 NRM CARD 86 NRM MEMBERSHIP CARD 87 NRM REGOSTER 88 NRN CARD 89 OCEN AND OPIO ARE TWINS 90 OTHER RECALL 91 PARENT/ BROTHER 92 PARTY CARD 93 PARTY ID 94 REAL WIFE 95 RECAL 96 RECAL WIFE 97 RECALL 98 RECALL AUNT 99 RECALL BROTHER 100 RECALL BY GRANDMOTHER 101 RECALL FATHER 102 RECALL GRANDMOTHER 103 RECALL MOTHER 104 RECALL SON 105 RECALL TRADITIONAL BIRTH ATTE 106 RECALLED 107 RECALLED BY GRANDMOTHER 108 RECALLED BY THE GRANDMOTHER M 109 RECALLED BY THE MOTHER 110 RECAll 111 RECORD BOOK 112 RECORDED DATA 113 RECORDS 114 REGISTER 115 REPORTED BY GRANDFATHER 116 ROCALL 117 SISTER 118 SOME ONE RECALL 119 SOMEBODY RESPONDED 120 SON 121 SON RECALL 122 SON RECALLED 123 SPOUSE 124 UNCLE 125 VILAGE HOUSEHOLD REGISTER 126 VILLAGE HOUSE HOLD REGISTER 127 VILLAGE HOUSEHOLD REGISTER 128 VORTERS REPORT 129 VOTERS RECIEPT 130 WIFE 131 WIFE RECALL 132 WIFE RECALLED 133 WRITTEN 134 WROTE ALL HIS CHILDRENS BIRTH Sysmiss date of interview - day date of interview - day date of interview - day date of interview - day date of interview - day 9185 27 1 31 14.963 9.092 date of interview - month date of interview - month date of interview - month date of interview - month date of interview - month 9156 56 8 9 10 11 Sysmiss date of interview - year date of interview - year date of interview - year date of interview - year date of interview - year 9212 2012 result of interview result of interview result of interview result of interview result of interview 9212 1 interviewed 2 interview incomplete 3 household not found 4 household members temporarily not at home 5 household refused 6 household moved permanently 97 others corrected age corrected age corrected age corrected age corrected age 9212 Sysmiss 9182 30 1 Sysmiss 9212 1 9212 1 9212 1 9212 1 9212 1 prop of adults (18+) able to read and write prop of adults (18+) able to read and write prop of adults (18+) able to read and write prop of adults (18+) able to read and write prop of adults (18+) able to read and write 9182 30 1 Sysmiss prop of male adults (18+) able to read and write prop of male adults (18+) able to read and write prop of male adults (18+) able to read and write prop of male adults (18+) able to read and write prop of male adults (18+) able to read and write 3996 5216 1 Sysmiss prop of female adults (18+) able to read and write prop of female adults (18+) able to read and write prop of female adults (18+) able to read and write prop of female adults (18+) able to read and write prop of female adults (18+) able to read and write 5186 4026 1 Sysmiss prop of adults (18+) who attended formal education prop of adults (18+) who attended formal education prop of adults (18+) who attended formal education prop of adults (18+) who attended formal education prop of adults (18+) who attended formal education 9075 137 1 Sysmiss prop of male adults (18+) who attended formal education prop of male adults (18+) who attended formal education prop of male adults (18+) who attended formal education prop of male adults (18+) who attended formal education prop of male adults (18+) who attended formal education 3958 5254 1 Sysmiss prop of female adults (18+) who attended formal education prop of female adults (18+) who attended formal education prop of female adults (18+) who attended formal education prop of female adults (18+) who attended formal education prop of female adults (18+) who attended formal education 5117 4095 1 Sysmiss No education (18+) No education (18+) No education (18+) No education (18+) No education (18+) 9212 1 Primary school P1-P3 highest degree achieved (18+) Primary school P1-P3 highest degree achieved (18+) Primary school P1-P3 highest degree achieved (18+) Primary school P1-P3 highest degree achieved (18+) Primary school P1-P3 highest degree achieved (18+) 9211 1 1 Sysmiss Primary school P4-P5 highest degree achieved (18+) Primary school P4-P5 highest degree achieved (18+) Primary school P4-P5 highest degree achieved (18+) Primary school P4-P5 highest degree achieved (18+) Primary school P4-P5 highest degree achieved (18+) 9211 1 1 Sysmiss Primary school P6-P7 highest degree achieved (18+) Primary school P6-P7 highest degree achieved (18+) Primary school P6-P7 highest degree achieved (18+) Primary school P6-P7 highest degree achieved (18+) Primary school P6-P7 highest degree achieved (18+) 9211 1 1 Sysmiss Secondary School highest degree achieved (18+) Secondary School highest degree achieved (18+) Secondary School highest degree achieved (18+) Secondary School highest degree achieved (18+) Secondary School highest degree achieved (18+) 9211 1 1 Sysmiss University degree highest degree achieved (18+) University degree highest degree achieved (18+) University degree highest degree achieved (18+) University degree highest degree achieved (18+) University degree highest degree achieved (18+) 9211 1 1 Sysmiss Other post-primary (18+) Other post-primary (18+) Other post-primary (18+) Other post-primary (18+) Other post-primary (18+) 9211 1 1 Sysmiss Don't know (18+) Don't know (18+) Don't know (18+) Don't know (18+) Don't know (18+) 9211 1 1 Sysmiss hh2_q11==completed desired schooling hh2_q11==completed desired schooling hh2_q11==completed desired schooling hh2_q11==completed desired schooling hh2_q11==completed desired schooling 5202 4010 1 Sysmiss hh2_q11==further schooling not available hh2_q11==further schooling not available hh2_q11==further schooling not available hh2_q11==further schooling not available hh2_q11==further schooling not available 5202 4010 1 Sysmiss hh2_q11==not able to afford hh2_q11==not able to afford hh2_q11==not able to afford hh2_q11==not able to afford hh2_q11==not able to afford 5202 4010 1 Sysmiss hh2_q11==too far away hh2_q11==too far away hh2_q11==too far away hh2_q11==too far away hh2_q11==too far away 5202 4010 1 Sysmiss hh2_q11==had to help at home hh2_q11==had to help at home hh2_q11==had to help at home hh2_q11==had to help at home hh2_q11==had to help at home 5202 4010 1 Sysmiss hh2_q11==had to help with farm work hh2_q11==had to help with farm work hh2_q11==had to help with farm work hh2_q11==had to help with farm work hh2_q11==had to help with farm work 5202 4010 1 Sysmiss hh2_q11==death of sponsor hh2_q11==death of sponsor hh2_q11==death of sponsor hh2_q11==death of sponsor hh2_q11==death of sponsor 5202 4010 1 Sysmiss hh2_q11==had to help with family business hh2_q11==had to help with family business hh2_q11==had to help with family business hh2_q11==had to help with family business hh2_q11==had to help with family business 5202 4010 1 Sysmiss hh2_q11==poor school quality hh2_q11==poor school quality hh2_q11==poor school quality hh2_q11==poor school quality hh2_q11==poor school quality 5202 4010 1 Sysmiss hh2_q11==parents did not want hh2_q11==parents did not want hh2_q11==parents did not want hh2_q11==parents did not want hh2_q11==parents did not want 5202 4010 1 Sysmiss hh2_q11==not willing to further attend hh2_q11==not willing to further attend hh2_q11==not willing to further attend hh2_q11==not willing to further attend hh2_q11==not willing to further attend 5202 4010 1 Sysmiss hh2_q11==poor academic progress hh2_q11==poor academic progress hh2_q11==poor academic progress hh2_q11==poor academic progress hh2_q11==poor academic progress 5202 4010 1 Sysmiss hh2_q11==sickness/calamity in family hh2_q11==sickness/calamity in family hh2_q11==sickness/calamity in family hh2_q11==sickness/calamity in family hh2_q11==sickness/calamity in family 5202 4010 1 Sysmiss hh2_q11==pregnancy hh2_q11==pregnancy hh2_q11==pregnancy hh2_q11==pregnancy hh2_q11==pregnancy 5202 4010 1 Sysmiss hh2_q11==marriage hh2_q11==marriage hh2_q11==marriage hh2_q11==marriage hh2_q11==marriage 5202 4010 1 Sysmiss hh2_q11==other hh2_q11==other hh2_q11==other hh2_q11==other hh2_q11==other 5202 4010 1 Sysmiss hh2_q11==dk/na hh2_q11==dk/na hh2_q11==dk/na hh2_q11==dk/na hh2_q11==dk/na 5202 4010 1 Sysmiss (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod (first) targetingmethod 9212 SCG 1 VFSG actual treatment status actual treatment status actual treatment status actual treatment status actual treatment status 9068 144 Control 1 Treatment 2 Do not know SAGE Sysmiss baseline treatment group baseline treatment group baseline treatment group baseline treatment group baseline treatment group 9212 Control 1 Treatment Community ID Community ID Community ID Community ID Community ID 9212 1031030102 4151140802 3044491274.158 746428275.872 District District District District District 9212 APAC KABERAMAIDO KATAKWI KIBOGA KYENJOJO MOROTO NAKAPIRIPIRIT NEBBI County County County County County 9212 CHEKWII JONAM KABERAMAIDO KALAKI KIBOGA KWANIA MARUZI MATHENIKO MOROTO MUNICIPALITY MWENGE PADYERE PIAN TOROMA USUK Sub-County Sub-County Sub-County Sub-County Sub-County 9212 ABONGOMOLA ADUKU AKOKORO ALWA ANYARA APAC ATEGO BUGAAKI BUTIITI CHAWENTE CHEGERE ERUSSI IBUJE KABERAMAIDO TOWN COUNCIL KAKOMONGOLE KALAKI KAPEKE KAPUJAN KATOOKE TOWN COUNCIL KIBOGA TOWN COUNCIL KIGARAALE KISOJO KITOOKE KUCWINY KYARUSOZI KYENJOJO TOWN COUNCIL MAGORO NABILATUK NADUNGET NAMBEISO NDHEW NEBBI TOWN COUNCIL NYANTUNGO OCHERO OMODOI PAKWACH PAKWACH TOWN COUNCIL PANYANGO PANYIMUR RUPA SOUTH DIVISION TOROMA USUK Parish Parish Parish Parish Parish 9212 AAKUM ABALANG ABANY ABAR EAST ABAR WEST ABEDI ABINDU WARD ABOKO ABONGO ABULI ABWOKODIA ABWONG ACABA ACEGERETOLIM ACENLWORO ACHERER ACHUNGI ADEM ADOLO ADYEDA AGANGA AGONG AJAR AKALI AKERE AKETO AKOKORO AKURAO AKUYAM ALARO ALIDO ALIRA ALWOROCENG AMII- AMILO AMII-ABERIDWOGO AMOR WARD AMOR WEST AMORIGOGA AMUN AMUSIA ANGODINGODI ANWANGI ANYARA AORNGA APARISIA APIRE APOI APUUTON ASURET ATANA ATIGOLWOK ATIK ATONGTIDI ATOPI ATULE ATYAK AWILA AYABI AYAGO AYEOLYEC BAMUSUUTA WARD BARAHIIJA BARODILO BORO BUCUNI WARD BUNG BURARRO BUSANZA BUTARA BUTIITI BUZIBWEERA WARD BWENZI CAMPSWAHILI JUU CAMPSWAHILLICHIN CENTRAL WARD CHEGERE CHELEUKO ENJERU ETEKOBER FOREST WARD GANDA HAKATOMA HIMA ILEE ISANDARA JUKIA WARD KABAALE KADINYA KAFUNDA PARISH KAGAA KAGOBE KAIHURA KAKERE KAKINDO KALAKI KALOKWAMERI KAMENU KAMUDA KANYALAM KAPUJAN KASABA KASEGA KASENYI KATAMBALE KATARA WARD KAYEERA KIBIRA KIBOGA TOWN WARD KIDILANI KIGOYERA KIGUNDU KIHUMIRO KIJUMA KIKODA KINOGERO PARISH KIRONGO WARD KIRULUMBA WARD KISOJO KITONGOLE KITONYA KIVUJE KOKORIO KORITOK KORYAMO KOTHIKE KUNGU KYABAGONZA KYABARANGA KYAKATWIRE KYAMITARA KYAMUGENYI KYAMUTASA KYANYABONGO WARD KYAYIMBA KYONGERA LOBODEGI LOBUNEIT LOKAALA LOPUTUK LOTIRIR MABAALE MAGORO MAJENGO MIRAMBI MITOMA MOGOTH MORUANGIBUIN MUKALE MUKUNYU MWARO WARD MYERI PARISH NABOLITH NADUNGET NAITAKWAE NAKADELI NAKOBEKOBE NAMRWODO WARD NAMTHIN WARD NATOPOJO NEBBI HILL WARD NSINDE NTOMA NYACARA WARD NYAIBANDA NYAKAGEI NYAKISI PARISH NYAMABUGA OGWIL OGWOLO OLAGO OLOLANGO OLYEJO OMID OMINYA OMWIBALE ONGEMA ONGICIA ONGOCENG OPETA ORIMAI OWEKO OWINY PACEGO PACHAKA PADOLO PAJUR PAKIA PALATAU PAMINYA LOWER PAMINYA UPPER PAMITU PAMORA UPPER PAROKETO PAYERA POKWERO PUNUATAR PUPU PUVUNGU CENTRAL PUVUNGU WEST RAMOGI RUBANGO RUHOKO RUPA RWAITENGYA RWAMUKOORA SWAGERE TAROGALI TEBOKE TEI-ORO THATHA WARD TOKORA TOROMA USUK VURR Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse Household weights adjusted for nonresponse 9212 1.535 53.398 17.956 7.58 Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse Household weights not adjusted for nonresponse 9212 1.389 42.718 17.865 7.456 Village Village Village Village Village 9212 1 377 187.398 109.456