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
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village
village
village
village
village
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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
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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
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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
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Part 1 of villageid
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Part 2 of villageid
Part 2 of villageid
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91
Part 3 of villageid
Part 3 of villageid
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Part 3 of villageid
Part 3 of villageid
498
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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
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06
07
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09
10
11
12
Part 5 of villageid
Part 5 of villageid
Part 5 of villageid
Part 5 of villageid
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498
01
02
03
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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
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OBIA
OBIRAI
OBONGODERO
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OCHOYO LAMERO
ODINGOI
ODOKUNA
ODOM EAST
OGATUNYU MWAYA
OIDOTONGOLE
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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
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PAJAO LOWER
PALYEO
PARWATH
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PIDA
POKEJA SOUTH
PUJWANG
PUMVUGA EAST
PUNUTARA
PUPU
RACKOKO CENTER
RAMOGI
RIVER
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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
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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
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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