TZA_2012_NPS-R3_v01_M
DDI_TZA_2012_NPS-R3_v01_M_WB
Development Economics Data Group
2015-04-24
Nesstar Publisher
Version 01 (April 2015)
National Panel Survey 2012-2013
Wave 3
NPS-R3 2012-13
TZA_2012_NPS-R3_v01_M
National Bureau of Statistics
NPS Technical Committee
Ministry of Agriculture, Food Security and Cooperatives
Ministry of Finance
Millennium Challenge Account-Tanzania
World Bank
United Nations Fund of Development Program
Nesstar Publisher
European Commission
World Bank
Director General
LSMS Data Manager
The 2012/2013 Tanzania National Panel Survey (NPS) is the third round in a series of nationally representative household panel surveys that collect information on a wide range of topics including agricultural production, non-farm income generating activities, consumption expenditures, and a wealth of other socio-economic characteristics. All three rounds of the NPS have been implemented by the Tanzania National Bureau of Statistics (NBS). The first round of the survey was conducted over twelve months, from October 2008 to September 2009. The main fieldwork of the second round of the NPS started in October 2010 and finished in September 2011, with specialized tracking teams remaining in the field until November 2011. Similarly, the duration and timing of the field work for the third round of NPS was from October 2012 to November 2013.
Agriculture & Rural Development
Health
Social Development
The main objective of the NPS is to provide high-quality household-level data to the Tanzanian government and other stakeholders for monitoring poverty dynamics, tracking the progress of the MKUKUTA II poverty reduction strategy1, and to evaluate the impact of other major, national level government policy initiatives. As an integrated survey covering a number of different socioeconomic factors, it compliments other more narrowly focused survey efforts, such as the Demographic and Health Survey on health, the Integrated Labour Force Survey on labour markets, the Household Budget Survey on expenditure, and the National Sample Census of Agriculture. Secondly, as a panel household survey in which the same households are revisited over time, the NPS allows for the study of poverty and welfare transitions and the determinants of living standard changes.
Tanzania
Representative at the national, urban/rural and major ago-ecological zones levels.
Households and individuals.
The survey covers all individuals included in the households in the sample.
The eligibility requirement for the NPS is defined as any household member aged 15 years and above, excluding live-in servants. Households with at least one eligible member where completely interviewed, including any subsequent non-eligible members present in the household. Any household or eligible members that had either moved or split away from a primary household were tracked and interviewed in their new location.
Sample survey data [ssd]
The 2012-13 NPS covers the following topics:
- HOUSEHOLD: Household identification; Survey staff details; Household member roster; Eduaction, Health, Labour; Food outside the household; Subject welfare; Food security; Housing, water and sanitation; Consumption of food over the past one week; Non-food expenditures (past one week & one month); Non-food expenditures (past twelve months); Household assets; Family/household non-farm enterprises; Assistance and groups; Credit; Finance; Recent shocks to household welfare; Deaths in the household; Household recontact information; Filter questions; Anthropometry.
- AGRICULTURE:Household roster; Plot roster; Plot details; Crops by plot; Crops - Household totals ( production and sales); Permanent crops by plot; Permanent crops - Household totals (production and sales); Input vouchers; Outgrower schemes and contract farming; Processed agricultural products and agricultural by-products; Farm implents and machinery extension; Extension.
- LIVESTOCK AND FISHERY: Household member roster; Livestock stock; Animal health; Feed, water, housing, breeding; Livestock-labour; Milk; Animal power & dung; Other livestock products; Fishery- Household labour; Fishery- Hired labour; Fishing inputs; Fisheries output; Fish trading.
- COMMUNITY: Community identification; Survey staff details; Access to basic services; Investments projects; Land use; Demographics, land & livestock, Market prices; Local units.
2012/10 - 2013/10
National Bureau of Statistics
The original sample size of 3,265 households for the 2008/2009 survey was designed to be representative at the national, urban/rural, and major agro-ecological zones. The total sample size of 3,265 households is clustered in 409 Enumeration Areas (2,063 households in rural areas and 1,202 urban areas) across Tanzania and Zanzibar. The NPS sample allows analysis at 4 primary domains of inference, namely: Dar es Salaam, other urban areas on mainland Tanzania,rural mainland Tanzania, and Zanzibar.
The NPS 2012/2013 revisits all households interviewed during the first two waves; NPS 2008/2009 and NPS 2010/2011. This includes the originally sampled 3,265 households plus split-off households added into the sample in the second round of the NPS.5 Thus the total sample at the onset of the NPS 2012/2013 consisted of 3,924 target households.
The eligibility requirement for the NPS is defined as any household member aged 15 years and above, excluding live-in servants. Households with at least one eligible member where completely interviewed, including any subsequent non-eligible members present in the household. Any household or eligible members that had either moved or split away from a primary household were tracked and interviewed in their new location.
It is important to note that the NPS 2012/2013 sample includes individuals meeting the eligibility requirement that were interviewed as part of the NPS 2008/2009 wave but were not located and interviewed during the NPS 2010/2011. This constituted an additional 703 individuals assigned to their last know associated household. To identify these individuals in the NPS 2012/2013 sample household rosters they received an ID code in the range of 101-130; the ID code was formed by the addition of 100 to their NPS 2008/2009 roster ID.
The resulting sample size for the third round of NPS, including NPS 2008/2009 and NPS 2010/2011 households plus new, or split-off, households in NPS 2012/2013, is 5,015 households. For a more detailed description of the original sample design, please reference the NPS 2008/2009 Basic Information Document.
Panel Attrition
As with most panel surveys a certain portion of panel respondents are not able to be reinterviewed over time. This attrition of panel respondents can lead to attrition bias where respondents drop out of the survey non-randomly and where the attrition is correlated with variables of interest. The TZNPS has fortunately maintained low attrition over the waves, thus minimizing the potential for attrition bias within the datasets.
The target sample of eligible households for the NPS 2012/2013 was 3,924, representing original NPS 2008/2009 households plus new or split-off households added to the NPS in the second round. Of these households 3,786 households were re-located and re-interviewed. This translates to a household attrition rate of roughly 3.50 percent between the NPS 2010/2011 and NPS 2012/2013. At the individual level, 12,280 of the 13,278 eligible household members where reinterviewed during the NPS 2012/2013, equating to an individual attrition rate of roughly 7.52 percent between the NPS 2010/2011 and the NPS 2012/2013.
Total household attrition for the NPS, up to round three, is 4.84 percent.
Face-to-face [f2f]
The third round of the NPS consists of four survey instruments: a Household Questionnaire, Agriculture Questionnaire, Livestock/Fishery Questionnaire, and a Community Questionnaire. Each of the NPS questionnaires were developed in collaboration with line ministries and donor partners, including the Technical Committee, over a period of several months. The NBS solicited feedback from various stakeholders in regards to survey content and design paying due consideration to comparability with previous panel rounds.
Piloting of the NPS 2012/2013 instruments took place in the Tanga region in July 2012 in conjunction with supervisor training. After piloting, the questionnaires were further revised and finalized in September 2012. Interviewer manuals were developed with detailed instructions for field staff during training and as the main reference guide for the survey over the course of the fieldwork.
The questionnaires for NPS 2012-13 are available in English and Swahili.
The data were collected using paper questionnaires that were key entered in the field concurrently with the data collection.
Preparations:
The field staff was trained in Morogoro in September 2012 over a period of four weeks with enumerator and data entry training done concurrently. During a standard training week, four days were spent in classroom, and one day in field training. On each Saturday of the training month, the field staff was debriefed on the previous day’s field exercise and what they had learned over the previous week. Over the four week training period, the field staff spent one week on the Household questionnaire, Agricultural questionnaire, Livestock/Fishery questionnaire and tracking, and field practice respectively. Over the training period, three tests were administered to the field teams. The goal was to gain feedback from the training sessions and to select the enumerators. Overall, there were 55 enumerator candidates, with 48 being selected. At the end of the training the enumerators were provided Kiswahili field manuals.
Prior to the training period, two pilot tests were conducted. In mid-July 2012, the new questionnaire instruments were piloted in Tanga. In early August 2012, the tracking pilot was conducted in Morogoro to test revisions to the tracking forms. Select households from an MCAT survey conducted in 2010 were revisited to provide the team supervisors practice with conducting tracking during fieldwork. After the pilots, extensive discussion and revisions were conducted with the participation of all team supervisors.
Field Work:
The main data collection began in October 2012 and finished in October 2013, with tracking fieldwork continuing until the end of November 2013. The survey was primarily implemented by seven mobile field teams, each composed of: one supervisor, five or six enumerators, one data entry technician, and one driver. In addition, there were also two dedicated mobile tracking teams that were each composed of: one supervisor, two enumerators, one data entry technician and one driver.
In NPS 2008/2009, enumeration areas (EAs) were selected and then households within those EAs were selected for the sample. For the third round, households from the second round were grouped into clusters. These third round clusters are very similar to the EAs from the second round in that they both consist of primarily the same households. However, each cluster also included both distance and local tracking cases from the second round that reside nearby but not in the same exact EA as the other households in that cluster. Efforts were made in the design of the clusters to be able to maintain the timing of the previous rounds survey.
Field teams visited each cluster for between 4-5 days. The questionnaires were administered to the selected households over the course of that time. This allowed the field team to make return visits to the household to complete the entire Household questionnaire, Agriculture questionnaire for farming households, and Livestock/Fisheries questionnaire for households engaged in livestock or fisheries activities. To ensure the depth and quality of each section of the survey, the questionnaire was administered across multiple respondents to the most knowledgeable about each topic. For all of the sampled households, areas of all owned and/or cultivated agricultural plots were measured via GPS unless the household refused, the terrain was too difficult, or if the plot was more than 1 hour from the location of the household. Anthropometric measurements were taken for all individuals that were at home, not too ill, and willing to participate.
Tracking:
Tracking consists of three stages: (1) determine the current status of the households and members of the households from the previous survey; (2) determine the location of any households that have moved together with all its members to a new location; and (3) determine the location of any eligible members who have moved from their household from either NPS 2008/2009 or NPS 2010/2011 to a new location. Eligibility for tracking of households and members was determined prior to the implementation of the survey. Members eligible for tracking were those who are over the age of 15 and not a live-in house servant. Any panel members not meeting this criteria were not tracked and were only included in the data when located and interviewed with an eligible member. Households eligible for tracking were those that moved to a new location within Tanzania. If a household moved to a different country, it was not tracked.
If an entire household had moved from the original residence, teams were required to complete a “T-1” form designed to capture relevant information from key informants on the whereabouts of the household. The T-1 form contains information that would enable tracking of household to its new location. If a member or members of the household have moved from the original household, a “T-2” form was completed by the teams. Similar to the T-1, a T-2 form contains information on the location of the member(s) who have moved from the household. Once the tracking targets had been located, teams were required to interview the household as consistent with the eligibility requirements.
Within the tracking protocol, there are local and distance tracking cases. Local and distance tracking applies to both households and individuals. Local tracking is defined as cases where the tracking target is within one hour driving distance from the original cluster and at least one tracking member from the household is eligible for tracking. For local tracking cases, the teams are required to interview the tracking target before leaving the original cluster. Distance tracking occurs when the tracking target resides in a location that is more than one hour driving distance from the original cluster. In this case, the teams fill out the appropriate tracking form and send the information to NBS headquarters. Once at NBS headquarters, the distance tracking case is given to one of the two dedicated tracking teams, who are then responsible for locating that household and conducting the interview.
Often households and members which have moved from their previous dwelling or household have relocated a great distance from their previous interview location. Given the inefficiency in searching for these members on a case by case basis across the country as they occur, field teams were not required to track households and members deemed to be too far away from the original location. Information on these cases was key entered and sent electronically to the NBS headquarters, compiled, and reviewed. After review an optimal tracking route was generated to guide the specialized tracking teams.
Distance tracking was divided into rounds with each round lasting approximately two months. The first round began interviews three months after the beginning of fieldwork to allow enough time to accumulate a sufficient number of distance tracking targets. At the start of each round, the new distance tracking cases would be compiled and grouped into geographic regions. The schedules for the two dedicated tracking teams for each round was determined by which geographic regions had the most distance tracking targets Any tracking target not located after each round would remain in the pool to be visited during the subsequent rounds, in addition to any new tracking cases that had accumulated in the intervening months. In addition, the regular field teams also sporadically would perform tracking within their interview regions if the distance tracking target resided in or very close to a cluster on their fieldwork schedule. Finally, following the completion of the main fieldwork activities, four dedicated tracking teams were dispatched to interview the remaining cases.
In order to produce nationally representative statistics with the NPS data, it is necessary to apply weighting or expansion factors. The panel survey weights adjust for differences in the probability of selection into the NPS 2008/2009 sample for observations in various strata, 2008/2009 households splitting into multiple households in 2010/2011 and splitting even further in 2012/2013, and attrition between rounds of the survey.
The first round of the NPS sample was a multi-stage clustered sample design. First stage sampling involved the selection of survey clusters with the probability of selection proportional to cluster size within a stratum. The sampling of these clusters was stratified along two dimensions:
(i) eight administrative zones (seven on Mainland Tanzania plus Zanzibar as an eighth zone), and
(ii) rural versus urban clusters within each administrative zone.
The combination of these two dimensions yields 16 strata. In rural areas a cluster is defined as an entire village. In urban areas a cluster is defined as a census enumeration area. As a general rule, the probability of selection was higher for clusters within strata where existing data sourcesshowed that the variance of key variables of interest for the NPS (e.g., household consumption and maize production) were likely to be very high – implying the need for more observations to produce reliable estimates.
The expansion factors for the NPS 2012/2013, variable “y3_weight”, have been integrated into Section A, “HH_SEC_A” of the household dataset. Additionally, unique identifiers for the firststage sampling units, “clusterid”, and for the sampling strata, “strataid” can also be located in Section A of the household dataset. The methodology used to calculate the panel weights for the NPS 2012/2013 was developed as part of the LSMS-ISA work program. Details on the methodology can be found in the paper: Himelein, Kristen. 2013. “Weight Calculations for Panel Surveys with Subsampling and Split-off Tracking.” Statistics and Public Policy, vol (1), pp40-45.
Data Processing & Management:
The NPS 2012/2013 contains a robust multi-level quality assurance and data management system. Great effort was placed on the development and utilization of this system by the NBS with technical assistance form the World Bank prior to the implementation of the NPS 2012/2013 to assist in the management of the complex household panel survey and address the growing need for high quality timely data.
The NPS utilizes a concurrent field entry system known a CAFE; Computer Assisted Field Entry. This system was selected to increase the availability of data for review by managing staff as well as to provide regular and consistent quality assessment of data directly to the field staff. As with the earlier rounds, CSPro was used for data entry and initial quality reporting while STATA was utilized to perform complex aggregated checks. Building off the work conducted for the NPS 2010/2011, the NPS 2012/2013 data entry application further develops the quantity and complexity of data quality checking routines while simplifying reporting. Furthermore, due to the panel nature of the survey, where applicable and appropriate, data was checked against previous round data.
As data entry took place while in the interview area, when data issues were identified and reported, field teams would return to households and clarify and correct inconsistent information prior to the transmission of the data to headquarters. Data files from completed clusters were transmitted to NBS headquarters using 3G USB modems. Received data files were concatenated at the headquarters, and regular checks were performed to ensure the fieldwork was proceeding according to the schedule and that quality standards were met. During the course of field work data was routinely checked at the aggregate level to identify any potential issues and where identified additional checks where integrated into the CAFE system.
Throughout the course of field work, the field teams regularly sent the paper questionnaires back to the NBS headquarters for further processing. Once the paper questionnaires and data files for completed EAs were received at NBS headquarters, a double entry procedure was implemented. Six data entry operators were hired by NBS to perform the second data entry for the paper questionnaires into the CSPro-based data entry system for all questionnaires administered. A comparison between the entered values in the field based data entry and headquarters based data entry was conducted and any discrepancies in values between the two were flagged for manual inspection of the physical questionnaire and corrected. The application of the third level of data consistency validation further allowed for the assessment of the quality of the entry work performed by both the field entry staff and the headquarters based entry staff. Regular feedback was supplied to data entry staff resulting in improved quality where needed and overall efficiency.
Additional data cleaning was conducted as the final stage of the data processing. Further adjustment of the data post-entry was conducted under the principle of absolute certainty where adjustments must be evidence based and correction values true beyond a reasonable doubt. As such, the resulting final datasets may still contain some inconsistencies and outliers. Handling of these values is thus left entirely to the data user.
Throughout the data processing system versions of the data are archived at all key steps and all checking and cleaning syntax documented and archived.
Tanzania National Bureau of Statistics
Tanzania Natiopnal Bureau of Statistics
http://www.nbs.go.tz/tnada/index.php/catalog/29
Cost: None
The Primary Data Investigator undertakes that no attempt will be made to identify any individual person, family, business, enterprise or organization. If such a unique disclosure is made inadvertently, no use will be made of the identity of any person or establishment discovered and full details will be reported to the NBS. The identification will not be revealed to any other person not included in the Data Access Agreement.
National Bureau of Statistics
National Bureau of Statistics (NBS) [Tanzania]. 2013. Tanzania National Panel Survey Report (NPS) - Wave 3, 2012 - 2013. Dar es Salaam, Tanzania: NBS. (www.nbs.go.tz)
The dataset has been anonymized and is available as a Public Use Dataset. It is accessible to all for statistical and research purposes only, under the following terms and conditions:
1. The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of the Nationa Bureau of Statistics, Tanzania.
2. The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations.
3. No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the National Bureau of Statistics.
4. No attempt will be made to produce links among datasets provided by the NBS, or among data from the National Bureau of Statistics and other datasets that could identify individuals or organizations.
5. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the National Bureau of Statistics will cite the source of data in accordance with the Citation Requirement provided with each dataset.
6. An electronic copy of all reports and publications based on the requested data will be sent to the National Bureau of Statistics
The original collector of the data, the National Bureau of Statistics, and the relevant funding agencies bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Interviewer Manual (English)
Manual used by the interviewers to implement the survey (English)
Interviewer Manual (Kiswahili)
Manual used by the interviewers to implement the survey (Kiswahili)
Tracking Form T-0 (English)
Form used to track households (English)
Tracking Form T-1(English)
Form used to track entire households that have moved (English)
Tracking Form T-2 (English)
Form used to track individuals who have moved from their households (English)
Agriculture Questionnaire (English)
Questionnaire used to collect information at the household plot level and the crop level (English)
SECTION A-1: HOUSEHOLD IDENTIFICATION
1. HOUSEHOLD MEMBER ROSTER
2. PLOT ROSTER
3. PLOT DETAILS
4. CROPS BY PLOT
5. CROPS - HOUSEHOLD TOTALS
6. PERMANENT CROPS BY PLOT
7. PERMANENT CROPS - HOUSEHOLD TOTALS
8. INPUT VOUCHERS
9. OUTGROWER SCHEMES & CONTRACT FARMING
10. PROCESSED AGRICULTURAL PRODUCTS AND AGRICULTURAL BY-PRODUCTS
11. FARM IMPLEMENTS AND MACHINERY
12. EXTENSION
Agriculture Questionnaire (Kiswahili)
Questionnaire used to collect information at the household plot level and the crop level (Kiswahili)
SEHEMU A-1: UTAMBULISHO WA KAYA
1. TAARIFA ZA MWANAKAYA
2. ORODHA YA MASHAMBA
3. TAARIFA ZA SHAMBA
4. MAZAO KATIKA SHAMBA
5. JUMLA YA MAUZO NA HIFADHI YA MAZAO KATIKA KAYA
6. MAZAO YA KUDUMU & MITI YA MATUNDA KATIKA SHAMBA
7. JUMLA YA MAUZO NA HIFADHI YA MAZAO
8. VOCHA ZA PEMBEJEO
9. KILIMO CHA USHIRIKA NA KILIMO CHA MKATABA
10. BIDHAA NA MABAKI YA MAZAO
11. VIFAA NA MITAMBO YA KILIMO
12. HUDUMA ZA USHAURI WA KILIMO
Community Questionnaire (English)
Questionnaire used to collect information common to households in the enumeration area (English)
SECTION A-1: COMMUNITY IDENTIFICATION
SECTION A-2: SURVEY STAFF DETAILS
SECTION CB: ACCESS TO BASIC SERVICES
SECTION CC: INVESTMENT PROJECTS
SECTION CD: LAND USE
SECTION CE: DEMOGRAPHICS, LAND & LIVESTOCK
SECTION CF: MARKET PRICES
SECTION CG: LOCAL UNITS
Community Questionnaire (Kiswahili)
Questionnaire used to collect information common to households in the enumeration area (Kiswahil)
SEHEMU A-1: UTAMBULISHO WA JAMII
SEHEMU A-2: TAARIFA ZA WASIMAMIZI
SEHEMU CB: UPATIKANAJI WA HUDUMA MUHIMU
SEHEMU CC: MIRADI YA UWEKEZAJI
SEHEMU CD: MATUMIZI YA ARDHI
SEHEMU CE: DEMOGRAFIA, ARDHI NA MIFUGO
SEHEMU CF: BEI ZA BIDHAA
SEHEMU CG: VIPIMO VYA KIENYEJI
Household Questionnaire (English)
Questionnaire used to collect information at the household and individual level (English)
SECTION A-1: HOUSEHOLD IDENTIFICATION
SECTION A-2: SURVEY STAFF DETAILS
SECTION B: HOUSEHOLD MEMBER ROSTER
SECTION C: EDUCATION
SECTION D: HEALTH
SECTION E: LABOUR
SECTION F: FOOD OUTSIDE THE HOUSEHOLD
SECTION G. SUBJECTIVE WELFARE
SECTION H: FOOD SECURITY
SECTION I: HOUSING, WATER AND SANITATION
SECTION J: CONSUMPTION OF FOOD OVER PAST ONE WEEK
SECTION K: NON-FOOD EXPENDITURES – Past one week & one month
SECTION L: NON-FOOD EXPENDITURES – Past twelve months
SECTION M: HOUSEHOLD ASSETS
SECTION N: FAMILY/HOUSEHOLD NON-FARM ENTERPRISES
SECTION O: ASSISTANCE AND GROUPS
SECTION P: CREDIT
SECTION Q: FINANCE
SECTION R: RECENT SHOCKS TO HOUSEHOLD WELFARE
SECTION S: DEATHS IN HOUSEHOLD
SECTION U-1: HOUSEHOLD RECONTACT INFORMATION
SECTION U-2: FILTER QUESTIONS
SECTION V: ANTHROPOMETRY
Household Questionnaire (Kiswahili)
Questionnaire used to collect information at the household and individual level (Kiswahili)
SEHEMU A-1:UTAMBULISHO WA KAYA
SEHEMU A-2: TAARIFA ZA MDADISI NA MSIMAMIZI
SEHEMU B: TAARIFA ZA WANAKAYA
SEHEMU C: ELIMU
SEHEMU D: AFYA
SEHEMU E: AJIRA NA KAZI (INDIVIDUAL)
SEHEMU F MATUMIZI YA CHAKULA NJE YA KAYA
SEHEMU G. MWONEKANO WA USTAWI WA MAISHA
SEHEMU H: UHAKIKA WA CHAKULA
SEHEMU I: MAKAZI MAJI NA USAFI
SEHEMU J: MATUMIZI YA CHAKULA KWA WIKI MOJA ILIYOPITA
SEHEMU K: MATUMIZI YASIYO YA CHAKULA – Wiki Moja Iliyopita na Mwezi Mmoja Uliopita
SEHEMU L: MATUMIZI YASIYO YA CHAKULA – Miezi 12 Iliyopita
SEHEMU M: RASILIMALI ZA KAYA
SEHEMU YA N: SHUGHULI ZA KAYA/FAMILIA ZISIZO ZA KILIMO
SEHEMU O: MISAADA NA VIKUNDI VYA KUSAIDIANA
SEHEMU P: MIKOPO
SEHEMU Q: FEDHA
SEHEMU R: MISHTUKO / MAAFA YA KARIBUNI KWA USTAWI WA KAYA
SEHEMU S: VIFO KATIKA KAYA
SEHEMU U-1: TAARIFA ZA KUSAIDIA KUIFUATILIA KAYA
SEHEMU U-2: TAARIFA ZA KUSAIDIA KUTAMBUA KAYA
SEHEMU V: VIPIMO VYA UZITO NA UREFU
Livestock and Fishery Questionnaire (English)
Questionnaire used to collect information on livestock and fishery activity (English)
SECTION A-1: HOUSEHOLD IDENTIFICATION
SECTION 1. HOUSEHOLD MEMBER ROSTER
LIVESTOCK
SECTION 2. LIVESTOCK STOCK
SECTION 3: ANIMAL HEALTH
SECTION 4. FEED, WATER, HOUSING, BREEDING
SECTION 5. LIVESTOCK- LABOUR
SECTION 6. MILK
SECTION 7. ANIMAL POWER & DUNG
SECTION 8. OTHER LIVESTOCK PRODUCTS
FISHERY
SECTION 9. FISHERY - HOUSEHOLD LABOUR
SECTION 10. FISHERY - HIRED LABOUR
SECTION 11. FISHING INPUTS
SECTION 12. FISHERIES OUTPUT
SECTION 13. FISH TRADING
Livestock and Fishery Questionnaire (Kiswahili)
Questionnaire used to collect information on livestock and fishery activity (Kiswahili)
SEHEMU A-1: UTAMBULISHO WA KAYA
SEHEMU KUU ZA DODOSO/YALIYOMO
SEHEMU 1. TAARIFA ZA MWANAKAYA
MIFUGO
SEHEMU 2. WANYAMA WANAOFUGWA/KUMILIKIWA NA KAYA
SEHEMU 3. AFYA YA WANYAMA
SEHEMU 4. CHAKULA CHA MIFUGO, MAJI, MAKAZI, UZALISHAJI
SEHEMU 5. NGUVU KAZI KATIKA MIFUGO
SEHEMU 6. MAZIWA
SEHEMU 7. WANYAMA KAZI NA KINYESI CHA WANYAMA
SEHEMU 8. MAZAO MENGINE YATOKANAYO NA MIFUGO
UVUVI
SEHEMU 9. WANAKAYA WALIOSHIRIKI KATIKA UVUVI
SEHEMU 10. NGUVU KAZI KATIKA UVUVI
SEHEMU 11. ZANA ZA UVUVI
SEHEMU 12. UZALISHAJI WA SAMAKI
SEHEMU 13. UUZAJI WA SAMAKI
Basic Information Document
Basic information about the survey, including how it was implemented, contents of the datasets, how to merge datasets, how the sample was designed, and information not found in the questionnaires or manuals.
Tracking Form T-0 (Kiswahili)
Form used to track households (Kiswahili)
Tracking Form T-1 (Kiswahili)
Form used to track entire households that have moved (Kiswahili)
Tracking Form T-2 (Kiswahili)
Form used to track individuals who have moved from their households (Kiswahili)
AG_NETWORK.NSDstat
8372
6
Nesstar 200801
AG_SEC_01.NSDstat
Key roster information only, including name, age, sex of household members as well as which member is the key respondent for the agricultural questionnaire.
18654
7
Nesstar 200801
The name of the respondent has been masked to protect respondent confidentiality.
AG_SEC_2A.NSDstat
Roster of all plots owned or cultivated by the household, including measurement information as calculated by GPS and farmer’s estimate, GPS coordinates, weather conditions at measurement, and reason for missing GPS.
9157
15
Nesstar 200801
Identical questions are asked in sections "AG_SEC_2A" and "AG_SEC_2B"; however, 2A refers to plots owned or cultivated during the 2012 long rainy season, and 2B refers to the short rainy season (either 2011 or 2012, depending on date of questionnaire). There is a screening question on the bottom of page 4 (and included in the Filters data file) that indicates to which short rainy season the household is referring.
If applicable, the Round 2 plot ID of a Round 3 plot is recorded in question 5, in a similar fashion to the Question 6 in Household Module B which links a Round 3 member to Round 2. However, households have increasingly split and a great deal of movement has occurred between the last two rounds, so as a consequence Round 2 household identification numbers and Round 2 plot numbers are no longer unique identifiers for Round 3 plots. In a small number of cases it appears that the household has split in Round 3, but that both resulting
households are reporting the same plot from Round 2 (possibly because they remain in close proximity to the original household, such as in the case of a child moving out). Further investigation showed that the cases fell into the following two categories: (1) the actual plot size splitting between the two Round 3 households, so that each household owns a smaller portion of the original plot but as the entire plot originated from the Round 2 plot a duplicate will exist, as well as (2) both Round 3 households reporting the entire plot on their plot roster. The amount of occurrences is negligible but should be noted as it will lead to imperfect merges between rounds.
The plot areas were measured using Garmin eTrex HC series GPS devices. The survey protocol indicates that all plots should be measured as long as they were with one hour's transportation (either on foot, by bicycle / motorbike, or, if possible, by vehicle) from the household. The only other acceptable reason for the plot not to be measure would be if the household refused.
The plot names, descriptions, and GPS coordinates are excluded for confidentiality reasons. A separate GIS dataset has been compiled using plot location information.
AG_SEC_2B.NSDstat
Roster of all plots owned or cultivated by the household, including measurement information as calculated by GPS and farmer’s estimate, GPS coordinates, weather conditions at measurement, and reason for missing GPS.
5013
16
Nesstar 200801
Identical questions are asked in sections “AG_SEC_2A” and “AG_SEC_2B”; however, 2A refers to plots owned or cultivated during the 2012 long rainy season, and 2B refers to the short rainy season (either 2011 or 2012, depending on date of questionnaire). There is a screening question on the bottom of page 4 (and included in the Filters data file) that indicates to which short rainy season the household is referring.
If applicable, the Round 2 plot ID of a Round 3 plot is recorded in question 5, in a similar fashion to the Question 6 in Household Module B which links a Round 3 member to Round 2. However, households have increasingly split and a great deal of movement has occurred between the last two rounds, so as a consequence Round 2 household identification numbers and Round 2 plot numbers are no longer unique identifiers for Round 3 plots. In a small number of cases it appears that the household has split in Round 3, but that both resulting
households are reporting the same plot from Round 2 (possibly because they remain in close proximity to the original household, such as in the case of a child moving out). Further investigation showed that the cases fell into the following two categories: (1) the actual plot size splitting between the two Round 3 households, so that each household owns a smaller portion of the original plot but as the entire plot originated from the Round 2 plot a duplicate will exist, as well as (2) both Round 3 households reporting the entire plot on their plot roster. The amount of occurrences is negligible but should be noted as it will lead to imperfect merges between rounds.
The plot areas were measured using Garmin eTrex HC series GPS devices. The survey protocol indicates that all plots should be measured as long as they were with one hour’s transportation (either on foot, by bicycle / motorbike, or, if possible, by vehicle) from the household. The only other acceptable reason for the plot not to be measure would be if the household refused.
The plot names, descriptions, and GPS coordinates are excluded for confidentiality reasons. A separate GIS dataset has been compiled using plot location information.
AG_SEC_3A.NSDstat
Detailed information on usage of plot, main cultivated crops, decision-makers in household, soil type and quality with a focus on erosion, sources of irrigation, ownership status of plot, rental value, usage patterns of fertilizers, and agricultural inputs obtained on credit. Household and hired labor for farming activities is also reported.
9157
178
Nesstar 200801
Identical questions are asked in "AG_SEC_3A" and "AG_SEC_3B", with the exception of Q75-85 which gather brief information on their rainy season counterpart's plot usage. Questions in 3A again refer to plots owned or cultivated during the 2012 long rainy season, while 3B refers to the last completed short rainy season. The data file for 3A contains only those plots cultivated in the long rainy season, while 3B is a comprehensive set of both long and short rainy season plots.
AG_SEC_3B.NSDstat
Detailed information on usage of plot, main cultivated crops, decision-makers in household, soil type and quality with a focus on erosion, sources of irrigation, ownership status of plot, rental value, usage patterns of fertilizers, and agricultural inputs obtained on credit. Household and hired labor for farming activities is also reported.
9173
173
Nesstar 200801
Identical questions are asked in “AG_SEC_3A” and “AG_SEC_3B”, with the exception of Q75-85 which gather brief information on their rainy season counterpart’s plot usage. Questions in 3A again refer to plots owned or cultivated during the 2012 long rainy season, while 3B refers to the last completed short rainy season. The data file for 3A contains only those plots cultivated in the long rainy season, while 3B is a comprehensive set of both long and short rainy season plots.
AG_SEC_4A.NSDstat
Crop planting patterns, intercropping, area and quantity harvested, associated losses, crop seeds purchased along with associated values, source and type of seed for all annual crops.
10183
40
Nesstar 200801
"AG_SEC_4A" is asked of the long rainy season in 2012, while "AG_SEC_4B" is asked of the most recent short rainy season (dependent on date of interview). This section should only include annual crops, but due to interviewer errors some permanent and fruit crops were also captured.
AG_SEC_4B.NSDstat
Crop planting patterns, intercropping, area and quantity harvested, associated losses, crop seeds purchased along with associated values, source and type of seed for all annual crops.
6450
40
Nesstar 200801
“AG_SEC_4A” is asked of the long rainy season in 2012, while “AG_SEC_4B” is asked of the most recent short rainy season (dependent on date of interview). This section should only include annual crops, but due to interviewer errors some permanent and fruit crops were also captured.
AG_SEC_5A.NSDstat
Questions on quantity of crops sold, value of sales, customers crops sold to, average distance that crops were transported to for sale, post-harvest losses, how crop residue was handled, method and duration for which crop was stored.
8422
48
Nesstar 200801
"AG_SEC_5A" is asked of the long rainy season in 2012, while "AG_SEC_5B" is asked of the most recent short rainy season (dependent on date of interview).
In some cases crops produced by the household were not represented in the list of response codes. In these cases crops were classified as "other" with a corresponding code.
AG_SEC_5B.NSDstat
Questions on quantity of crops sold, value of sales, customers crops sold to, average distance that crops were transported to for sale, post-harvest losses, how crop residue was handled, method and duration for which crop was stored.
5884
48
Nesstar 200801
“AG_SEC_5A” is asked of the long rainy season in 2012, while “AG_SEC_5B” is asked of the most recent short rainy season (dependent on date of interview).
In some cases crops produced by the household were not represented in the list of response codes. In these cases crops were classified as “other” with a corresponding code.
AG_SEC_6A.NSDstat
Number of fruit trees planted on the plot, when these were planted, presence of intercropping, quantity produced, loss before and after harvest, quantity sold, associated value and location sold, method and quantity of crop stored are asked in this section.
8795
19
Nesstar 200801
This section should include only fruit trees but due to a small number of interviewer errors, some fruits are included in Section 4 instead while some permanent crops are included in this section. Note that in the English version of the questionnaire, both peaches and plums appear twice in the crop listing. This is due to the fact that some fruits common in Tanzania have the same English translation, while the names are different in Swahili.
Note that this section should include only fruits but due to a small number of interviewer errors, some fruits are included in Section 4 instead and some permanent crops are also included in this section.
AG_SEC_6B.NSDstat
Number of permanent crops planted on the plot, when these were planted, how many were planted in the past 12 months, intercropping activities, quantity produced, losses before and after harvest, quantity sold, associated value and location sold, method and quantity of crop stored are asked in this section.
7726
19
Nesstar 200801
Questions in “AG_SEC_6A” and “AG_SEC_6B” are identical, however 6A is asked only of fruit trees while 6B is asked of permanent trees/crops. In the data, a number of crops within the plot share the following crop category codes (zaocode): “Firewood/fodder”, “Timber”, “Medicinal Plants”, “Fence Tree” and “Other.”
Differentiation for these categories is preserved in the dataset (zaoname) and the option to collapse on specific variables is left to the end user.
AG_SEC_7A.NSDstat
Quantity of crop sold, associated value and location sold, post production losses and method and quantity of crop stored are included.
8015
22
Nesstar 200801
AG_SEC_7B.NSDstat
Quantity of crop sold, associated value and location sold, post production losses and method and quantity of crop stored are included.
6581
23
Nesstar 200801
Similar to Section 5B, crop names are included to assist with the differentiation of duplicate reported crop categories as described above.
Although 7B was intended to be a direct continuation of Section 6B and therefore include all crops listed in 6B, crops that were used specifically for own consumption were often not reported. Consequently, Section 7B has fewer observations than what is reported in Section 6B.
AG_SEC_08.NSDstat
Information is asked about amount of inputs redeemed from vouchers, household members that received the vouchers and how the inputs redeemed from vouchers were used by the household.
5930
16
Nesstar 200801
Only households utilizing agricultural inputs completed this module. The filter question for this section is included in the “FILTERS” data file.
AG_SEC_9A.NSDstat
Information on crops, companies, pre-planting agreements, and buyer compliance are recorded for farmers engaging in outgrower schemes and contract farming.
5011
16
Nesstar 200801
Questions asked in each of the three sections are identical, however "AG_SEC_9A" focuses on crops grown as part of the long rainy season 2012, while 9B refers to the last completed short rainy season, and 9C collects information on fruit trees and permanent crops.
A filter question in the "FILTERS" data file eliminates any households that did not cultivate any crops, as part of an outgrower scheme or contract farming system at any time over the past 12 months.
AG_SEC_9B.NSDstat
Information on crops, companies, pre-planting agreements, and buyer compliance are recorded for farmers engaging in outgrower schemes and contract farming.
5010
16
Nesstar 200801
Questions asked in each of the three sections are identical, however "AG_SEC_9A" focuses on crops grown as part of the long rainy season 2012, while 9B refers to the last completed short rainy season, and 9C collects information on fruit trees and permanent crops.
A filter question in the "FILTERS" data file eliminates any households that did not cultivate any crops, as part of an outgrower scheme or contract farming system at any time over the past 12 months.
AG_SEC_9C.NSDstat
Information on crops, companies, pre-planting agreements, and buyer compliance are recorded for farmers engaging in outgrower schemes and contract farming.
5010
16
Nesstar 200801
Questions asked in each of the three sections are identical, however “AG_SEC_9A” focuses on crops grown as part of the long rainy season 2012, while 9B refers to the last completed short rainy season, and 9C collects information on fruit trees and permanent crops.
A filter question in the “FILTERS” data file eliminates any households that did not cultivate any crops, as part of an outgrower scheme or contract farming system at any time over the past 12 months.
AG_SEC_10.NSDstat
Information on crops, by-product names and quantity produced, amount of crop used as input, quantity sold, associated prices and buyers and costs incurred due to labor/other inputs are included in this section.
7316
22
Nesstar 200801
As a household can have more than one by-product associated with the same crop it is necessary to use to the following to uniquely identify observations: “y3_hhid” to identify the household, “zaocode” to identify the crop, “ag10_02_3” to identify if the product was deliberately processed or produced as a by-product of another process, and “ag10_03” to identify the product.
Crops listed in this section should have been harvested by the household, and therefore should also appear in Section 5 and Section 7. However, due to interviewer error, some of the crops found in this section (primarily maize) were most likely purchased instead of harvested, and therefore will not appear in Sections 5 and 7. Only households processing products harvested on this module. The filter question for this section is included in the “FILTERS” data file.
AG_SEC_11.NSDstat
Detailed information on the number of farm implements and machinery used or owned by the household in the past 12 months along with associated value if sold, whether the item was used, reasons for no usage, whether any of these items were rented or borrowed for use in the last twelve months and associated rents paid.
51532
13
Nesstar 200801
AG_SEC_12A.NSDstat
Any extension services or advice that the household received for agricultural or livestock activities in the past 12 months through government extension, NGOs, Cooperative/Farmer’s Association, or Large Scale Farmers, including what activity advice was sought for, subjective rating for advice received, and price paid for receiving advice.
18306
19
Nesstar 200801
Note that in both datasets in Section 12 (A and B), the variables to uniquely identify observations are "y3_hhid" and "sourceid." However, these two variables are not equivalent and it is not possible to merge the two datasets using these variables.
AG_SEC_12B.NSDstat
Any extension services or advice that the household received for agricultural or livestock activities in the past 12 months through government extension, NGOs, Cooperative/Farmer’s Association, Large Scale Farmers, Radio/television, Publications or Neighbors including what activity advice was sought for, subjective rating for advice received, and price paid for receiving advice.
28271
7
Nesstar 200801
Note that in both datasets in Section 12 (A and B), the variables to uniquely identify observations are “y3_hhid” and “sourceid.” However, these two variables are not equivalent and it is not possible to merge the two datasets using these variables.
AG_SEC_A.NSDstat
Household location variables, unique within panel round household identification variables, date and time of interview, analytic weights, cluster identification, sampling strata identification, enumerator identification, supervisor identification, and data entry clerk identification.
5010
31
Nesstar 200801
The name of the respondent has been masked to protect respondent confidentiality.
COM_SEC_A1A2.NSDstat
Community identification information including region, district, ward, regional capital identifier, location of market price information, and enumeration area, as well as survey staff information such as interviewers ID code, supervisor, and direct observation questions.
401
43
Nesstar 200801
Sensitive identifying variables, such as name of village, GPS coordinates, and the names of the interviewer, supervisor, and data entry operators have been removed from the dissemination version of this dataset to preserve confidentiality.
COM_SEC_CB.NSDstat
Information on access to basic services in terms of distance and associated transportation costs for these services.
12431
11
Nesstar 200801
Names of services/institutions have been dropped from the public data file to preserve confidentiality.
COM_SEC_CC.NSDstat
Sources of funds and associated amounts for recent construction projects such as road construction/maintenance, market construction/maintenance, water supply such as wells and pumps, school construction and maintenance at pre-primary, primary and secondary levels, health and veterinary services, irrigation schemes and grain storages.
5614
12
Nesstar 200801
COM_SEC_CD.NSDstat
Land use related issues with estimated percentages of how different types of village land are used (cultivation, forest, pasture, wetland, residential, business), as well as reasons for re-allocation of land (if any), number of households affected, and associated compensation.
400
39
Nesstar 200801
This section contains a fairly high percentage of missing values as sometimes key informants did not know all the information asked in the questionnaire.
COM_SEC_CE.NSDstat
Participants utilizing SACCOs and other farmer cooperative groups, activities undertaken by cooperatives, the timing and quantity of the masika and vuli rainy seasons, detailed information on maize seed suppliers and sales, and the migration patterns of community members due to livestock activities.
401
43
Nesstar 200801
The name of the nearest supplier of improved maize seeds has been dropped for confidentiality purposes.
COM_SEC_CF.NSDstat
Market prices for the surveyed communities, reported for both the village level and the district capital area.
20852
13
Nesstar 200801
If district prices were already recorded in another community questionnaire, the cluster ID of that questionnaire is entered at the top of the market prices table and district prices are skipped. The regional capital identifier and the location at which the prices were gathered are included in the section CA dataset.
The name of the item must be included in the unique identifier as food item IDs are taken directly from the consumption module and sometimes group items together (i.e. code 601 is “Onions, tomatoes, carrots, green peppers, other viungo”) while in Section CF each item is individually identified (item_name) and priced, though it remains under the collective consumption code (itemid).
The GPS coordinates are removed for confidentiality purposes.
COM_SEC_CF_ID.NSDstat
Sec CF ID and location
401
23
Nesstar 200801
COM_SEC_CG.NSDstat
Records the local units used for certain items in the surveyed communities. Similar to Section CF, the information is collected both at the village level and the district capital area. The kilogram or liter equivalent for the local units is collected, in addition to the price of the item in that local unit.
9624
14
Nesstar 200801
The unique identifier is a combination of the community location variables plus the food item code, food item name, and food item number. This is necessary as each food item (item_code) is allowed up to three separate responses of local units (item_num), in addition to the combined food items per consumption code similar to the occurrences described above (i.e. cooking bananas and irish potatoes are both code 205).
ConsumptionNPS3.NSDstat
4883
35
Nesstar 200801
FILTERS.NSDstat
Screening questions for household, agriculture, livestock and fishery modules.
4845
22
Nesstar 200801
HH_SEC_A.NSDstat
SECTION A: HOUSEHOLD IDENTIFICATION / SURVEY STAFF DETAILS
Household location variables, unique within panel round household identification variables, date and time of interview, analytic weights, cluster identification, sampling strata identification, enumerator identification,supervisor identification, and data entry clerk identification.
5010
52
Nesstar 200801
HH_SEC_B.NSDstat
SECTION B: HOUSEHOLD MEMBER ROSTER
Roster of household members, individual characteristics including: sex, age, relationship to the household head, panel member identification, presence in household, general occupation, parental status, place of birth, marital status, and spouse identification.
25412
45
Nesstar 200801
HH_SEC_C.NSDstat
SECTION C: EDUCATION
Educational enrollment and attainment; literacy, education history/ level attainment, current enrollment, school characteristics, temporary absence, education examination (participation and score) and education expenditures.
25412
42
Nesstar 200801
HH_SEC_D.NSDstat
SECTION D: HEALTH
General health status and utilization of health services; source and financing of health treatments /hospitalization, disaggregated health expenditures, bednet use, pregnancy, prenatal care and births, child health and ailments / diarrhea.
25412
45
Nesstar 200801
HH_SEC_E.NSDstat
SECTION E: LABOUR
Labor market participation; activities including unpaid apprenticeship, wage work, non-farm enterprise, and agricultural activity (including livestock and fishery activities) in the last seven days and in the last twelve months. Also includes unemployment and steps taken to find work, secondary activities, industry (TASCO) and occupation (ISIC) codes, wages earned, contract type, employer provide safety nets, and general domestic activities .
25412
103
Nesstar 200801
HH_SEC_F.NSDstat
SECTION F: FOOD CONSUMED OUTSIDE THE HOUSEHOLD
Value of food consumed outside the home during the last seven days.
25412
19
Nesstar 200801
HH_SEC_G.NSDstat
SECTION G: SUBJECTIVE WELFARE
Self-reported level of satisfaction with health, financial status, housing, job, services, and safety. Also includes perceived status at present, and as of 1 and 10 years ago.
25412
16
Nesstar 200801
HH_SEC_H.NSDstat
SECTION H: FOOD SECURITY
Information on the household’s diet and food intake patterns, months of food insecurity, and distribution of food within the household.
5010
59
Nesstar 200801
HH_SEC_I.NSDstat
SECTION I: HOUSING, WATER AND SANITATION
Tenure status, rental expenditure, estimated rental value, dwelling maintenance and improvement expenditures, dwelling characteristics, including size, construction materials, toilet facilities and means of garbage disposal. Also includes, main type of cooking and lighting fuel, access to water /drinking water and time spent collecting water.
5010
31
Nesstar 200801
HH_SEC_J1.NSDstat
SECTION J1: CONSUMPTION OF FOOD OVER THE PAST ONE WEEK
Consumption of 59 key items/ item groups over the last 7 days. These 59 items/item groups are divided into twelve broader categories; “Cereals and Cereal Products”, “Starches, Sugars and Sweets”, “Pulses, Dry”, “Nuts and Seeds”, “Vegetables”, “Fruits”, “Meat, Meat Products, Fish”, “Milk and Milk Products”, Oils and Fats”, “Spices and Other Foods”, and “Beverages”. Quantity and value of consumed items from purchases, ownproduction and gifts are recorded. Additionally, an iodine test is also performed to detect its presence in salt and corresponding parts per million is recorded.
295590
13
Nesstar 200801
HH_SEC_J2.NSDstat
SECTION J2: FOOD FORTIFICATION
Information on household’s consumption of fortified food items
20040
8
Nesstar 200801
HH_SEC_J3.NSDstat
SECTION J3: FREQUENCY OF CONSUMED ITEMS
Number of days general food categories where consumed by the household in the last 7 days, includes: “Cereals,Grains and Cerel Products”, “Roots, Tubers, and Plantains”, Nuts and Pulses”, Vegetables”, Meat, Fish and Animal Products”, “Fruits” “Milk/Milk Products”, “Fats/Oils”, Sugar/Sugar Products/Honey”, and “Spices/Condiments”.
50100
5
Nesstar 200801
HH_SEC_J4.NSDstat
SECTION J4: Number of people living outside of the household that shared meals within the household and then total number of meals shared over the last 7 days.
20040
6
Nesstar 200801
HH_SEC_K.NSDstat
SECTION K: NON-FOOD EXPENDITURES – PAST ONE WEEK & ONE MONTH
Total expenditure on non-food items during the last week or last month, including; public transportation, fuels, cellular phone credits, personal hygiene items, etc.
130260
6
Nesstar 200801
HH_SEC_L.NSDstat
SECTION L: NON-FOOD EXPENDITURES – PAST TWELVE MONTHS
Total expenditure on non-food items during the past 12 months, including; household items, community contributions, fees and fines, marriage costs, clothing, etc.
130260
6
Nesstar 200801
HH_SEC_M.NSDstat
SECTION M: HOUSEHOLD ASSETS
Quantity of key items owned by the household, age of item, purchase price, and current estimated value for items including, radio, telephones, appliances, furniture, cookware, vehicles, land, and agricultural tools.
265530
7
Nesstar 200801
HH_SEC_N.NSDstat
SECTION N: FAMILY / HOUSEHOLD NON-FARM ENTERPRISES
Details on non-farm businesses operated by the household during the last 12 months, including type of product or service provided, household members involved with the enterprise, value of current stock, operation location, length of time the enterprise has been operating, income earned, profits, business operating costs etc.
5759
40
Nesstar 200801
HH_SEC_O1.NSDstat
SECTION O1: ASSISTANCE AND GROUPS
Financial and in-kind assistance provided by both government and non-government institutions, including free food/maize distribution, food for work or cash for work programmes, inputs for work programmes, and school scholarships.
30060
13
Nesstar 200801
HH_SEC_O2.NSDstat
SECTION O2: ASSISTANCE AND GROUPS
Involvement in in cooperative microfinance activities and financial details of membership, including contributions, withdrawal history, and repayment plans.
5045
17
Nesstar 200801
HH_SEC_P.NSDstat
SECTION P: CREDIT
Utilization of credit and loan institutions, including sources, amounts borrowed, and repayment plans.
5117
15
Nesstar 200801
HH_SEC_Q1.NSDstat
SECTION Q1: FINANCE
Use of financial institutions and mobile-phone based money transfer services, income from rent or pensions,supplemental income sources, and banking history.
5010
33
Nesstar 200801
HH_SEC_Q2.NSDstat
SECTION Q2: FINANCE
Remittances or financial assistance received in the last 12 months from sources residing in Tanzania or abroad, including socio-demographic characteristics of source, remittance channels, and use of cash/in-kind items.
5474
24
Nesstar 200801
HH_SEC_R.NSDstat
SECTION R: RECENT SHOCKS TO HOUSEHOLD WELFARE
Severity ranking of 19 common shocks, such as “drought or floods”, “severe water shortage”, and “death of member of household”. More detailed information and coping strategies are asked of the three most severe shocks.
95190
12
Nesstar 200801
HH_SEC_S.NSDstat
SECTION S: DEATHS IN HOUSEHOLD
Deaths within the household, cause of death, duration of illness if applicable, and associated land or asset losses due to inheritance traditions.
5027
20
Nesstar 200801
HH_SEC_U2.NSDstat
SECTION U2: MODULE FILTER QUESTIONS
Screening questions for the agriculture and livestock/fisheries questionnaires.
5010
13
Nesstar 200801
HH_SEC_V.NSDstat
SECTION V: ANTHROPOMETRY
Anthropometric information of all household members able and willing to participate, including height, weight, and upper arm circumference measurements.
25412
12
Nesstar 200801
LF_NETWORK.NSDstat
SECTION NETWORK
Throughout the various sections of the agricultural questionnaire, there are questions that refer to persons outside the household that are involved in the agricultural process. Examples include landlords, suppliers of inputs, harvest purchasers, outgrower partners, etc.. The network roster file contains the location and category of each of these persons.
2771
6
Nesstar 200801
LF_SEC_01.NSDstat
SECTION 01: HOUSEHOLD ROSTER
Key roster information only, including name, age, sex of household members as well as which member is the key respondent for the agricultural questionnaire.
14042
7
Nesstar 200801
LF_SEC_02.NSDstat
SECTION 02: LIVESTOCK STOCK
For 16 animal categories, thissection asks questions about the last 12 months on topics related to ownership, purchases, gifts received, diseases and animals lost because of them, thefts, sales and associated earnings, slaughtering and associated earning.
34609
45
Nesstar 200801
LF_SEC_03.NSDstat
SECTION 03: ANIMAL HEALTH
Detailed information on the health of animals in the last 12 months related to diseases affecting the animals, vaccinations provided, de-worming treatments, preventative and treatment measures taken against tick borne diseases, and associated spending for any preventative and treatment measures.
12979
24
Nesstar 200801
LF_SEC_04.NSDstat
SECTION 04: FEED, WATER, HOUSING, BREEDING
This section asks about fodder and water costs for the animals, type of housing used for the animals, and breeding strategies used by the household.
12979
42
Nesstar 200801
LF_SEC_05.NSDstat
SECTION 05: LIVESTOCK LABOUR
This section gathers information about the household members responsible for activities associated with upkeep of animals, the months in which the household hired help (if any) to assist in the upkeep of animals, and any associated costs with hired labor.
12979
25
Nesstar 200801
LF_SEC_06.NSDstat
SECTION 6: MILK
This section asks about characteristics of milk production by the animals and the amount of milk produced that were consumed by the household, sold, or processed in the last 12 months.
12979
20
Nesstar 200801
LF_SEC_07.NSDstat
SECTION 7: ANIMAL POWER AND DUNG
Detailed information related to amount of dung produced by the animals, characteristics of the use of the dung, associated earnings from any sales of dung, and use of animals for transport or ploughing.
12979
11
Nesstar 200801
LF_SEC_08.NSDstat
SECTION 8: OTHER LIVESTOCK PRODUCTS
Information is collected on livestock by-products, including the quantity produced, the quantity sold, value of sold goods, buyers of by product sold.
8653
15
Nesstar 200801
LF_SEC_09.NSDstat
SECTION 9: FISHERY – HOUSEHOLD LABOUR
For members that are listed as being involved in fishing in the last 12 months, questions on time spent fishing, time spent processing and time spent trading are recorded by number of weeks, days per week and hours per day.
302
12
Nesstar 200801
LF_SEC_10.NSDstat
SECTION 10: FISHERY – HIRED LABOUR
For hired labor, the number of fishing men, women and children and associated time investment is collected in addition to information on wages, share of boat catch and share of boat revenue.
100
20
Nesstar 200801
LF_SEC_11A.NSDstat
SECTION 11A: FISHING INPUTS
Focuses on fishing input/gear and boats/engines used by any member of the household in the last 12 months and includes questions on the number of fishing gears operated, owned, purchased, rented and associated rental value for purchase.
3404
12
Nesstar 200801
LF_SEC_11B.NSDstat
SECTION 11B: OTHER INPUTS
Information on all other costs associated with purchases during the last 12 months such as taxes, licenses, auction fees, wicks, rent for storage, transportation, buoys, thread for net sewing, beeswax/sealant, lubricant and chicken wire. The associated costs and units consumed are also included for each of these categories.
3162
7
Nesstar 200801
LF_SEC_12.NSDstat
SECTION 12: FISHERIES OUTPUT
Information on the output of fishing activities in the last 12 months, including questions related to type of fish caught, area fished in, quantity caught, fish processing mechanisms, sales and in-house consumption. Approximately 19% of households indicate having caught another type of fish than those on the list.
458
43
Nesstar 200801
LF_SEC_13A.NSDstat
SECTION 13A: FISH TRADING
Detailed information on purchases and sales of fish by the household, including questions on type of fish sold, average sales per week, and quantity of fish purchased from other sources.
387
21
Nesstar 200801
LF_SEC_13B.NSDstat
SECTION 13B: FISH TRADING
Costs associated with the fish trading are collected in this section, including amount spent by household on hired labour, transport, packaging, ice, and taxes.
928
6
Nesstar 200801
LF_SEC_A.NSDstat
SECTION A: HOUSEHOLD IDENTIFICATION / SURVEY STAFF DETAILS
Household location variables, unique within panel round household identification variables, date and time of interview, analytic weights, cluster identification, sampling strata identification, enumerator identification, supervisor identification, and data entry clerk identification.
2298
31
Nesstar 200801
HouseholdGeovars_Y3.NSDstat
Household Geo Variables
4988
50
Nesstar 200801
NPSY3.PANEL.KEY.NSDstat
27889
7
Nesstar 200801
PlotGeovars_Y3.NSDstat
Plot Geo Variables
5453
6
Nesstar 200801
Y3_weights.NSDstat
Weights
5010
2
Nesstar 200801
Case Section Roster / Line Occurrence Sequence for O/S Merge
8372
0
1
12
1
3333
2
2198
3
1356
4
763
5
384
6
184
7
88
8
41
9
15
10
6
11
3
12
1
Unique Household Identification NPS Y3
8372
0
Network ID
7980
0
N01
2941
N02
2198
N03
1356
N04
763
N05
384
N06
184
N07
88
N08
41
N09
15
N10
6
N11
3
N12
1
Name of Contact
7980
0
**CONFIDENTIAL**
7980
Network Relationship with HH
7980
392
1
20
1
RELATIVE
902
2
NEIGHBOR
1231
3
FRIEND
435
4
MARKET
609
5
OPEN MARKET
284
6
COOPERATIVE UNION
313
7
FARMERS PARTY
124
8
MAIN PLOT/FARM
42
9
PRIVATE BUSINESS PERSON
2511
10
MAIN MARKET
5
11
BUSINESS CONTACT
74
12
ABATTORI/FACTORY
32
13
EMPLOYER
15
14
RELIGIOUS INSTITUTION
16
15
BANK (COMMERCIAL)
1
16
GROCERY/LOCAL MERCHANT
905
17
MONEY LENDER
1
18
NGO
9
19
DISTRIBUTION OFFICER
79
20
OTHER (SPECIFY)
392
Sysmiss
392
Network Location
7980
392
1
6
1
WITHIN THE VILLAGE
5110
2
NEAR THE VILLAGE
1532
3
NEAR THE TOWN
722
4
OTHER DISTRICT
302
5
OTHER REGION
281
6
ACROSS THE BORDER
33
Sysmiss
392
Case Section Roster / Line Occurrence Sequence for O/S Merge
18654
0
1
53
Unique Household Identification NPS Y3
18654
0
Individual ID
18653
1
1
53
Name
18653
0
**CONFIDENTIAL**
18653
Age
18653
1
0
108
Sex
18653
1
1
2
1
MALE
9117
2
FEMALE
9536
Sysmiss
1
MARK WITH 'X' THE RESPONDENT OR RESPONDENTS TO THIS QUESTIONNAIRE
4369
0
X
4369
Case Section Roster / Line Occurrence Sequence for O/S Merge
9157
0
1
12
1
5010
2
2207
3
1092
4
473
5
196
6
95
7
38
8
23
9
14
10
6
11
2
12
1
Unique Household Identification NPS Y3
9157
0
Plot Code
7447
0
M1
3300
M10
6
M11
2
M12
1
M2
2207
M3
1092
M4
473
M5
196
M6
95
M7
38
M8
23
M9
14
Plot Name
7447
0
**CONFIDENTIAL**
7447
Description / Location
7447
1710
1
1
1
YES
7447
2
NO
0
Sysmiss
1710
Area (Acres)
7447
1710
0
400
PLOT NO. IN 2010/ 2011 NPS.
7439
0
99
2351
M1
2271
M10
2
M2
1508
M3
758
M4
303
M5
138
M6
54
M7
19
M8
14
M9
8
V1
12
V2
1
Plot GPS Latitude Degree (South)
9157
0
**CONFIDENTIAL**
9157
Plot GPS Latitude Minute Decimal (South)
9157
0
**CONFIDENTIAL**
9157
Plot GPS Longitude Degree (East)
9157
0
**CONFIDENTIAL**
9157
Plot GPS Longitude Minute Decimal (East)
9157
0
**CONFIDENTIAL**
9157
Plot Measured ?
7444
1713
1
2
1
YES
5398
2
NO
2046
Sysmiss
1713
Why was the plot not measured?
2047
7110
1
3
1
TOO FAR
1016
2
REFUSED
512
3
OTHER (SPECIFY)
519
Sysmiss
7110
Area (Acres) - GPS Measurement
5396
3761
0
210.17
Weather conditions at measurement?
5395
3762
1
6
1
CLEAR/SUNNY
1473
2
MOSTLY CLEAR/MOSTLY SUNNY
700
3
PARTLY CLOUDY/PARTLY SUNNY
2557
4
MOSTLY CLOUDY/CONSIDERABLE CLOUDNESS
449
5
COMPLETELY CLOUDY
148
6
RAINY
68
Sysmiss
3762
Case Section Roster / Line Occurrence Sequence for O/S Merge
5013
0
1
2
1
5010
2
3
Unique Household Identification NPS Y3
5013
0
Plot Code
27
0
V1
24
V2
3
Plot Name
27
0
**CONFIDENTIAL**
27
Description / Location
27
4986
1
1
1
YES
27
2
NO
0
Sysmiss
4986
Area (Acres)
27
4986
0.3
10
PLOT NO. IN 2010/ 2011 NPS.
26
0
99
25
M3
1
GPS Latitude (Degree)
5013
0
**CONFIDENTIAL**
5013
GPS Latitude (Minute Decimal)
5013
0
**CONFIDENTIAL**
5013
GPS Longitude (Degree)
5013
0
**CONFIDENTIAL**
5013
GPS Longitude (Minute Decimal)
5013
0
**CONFIDENTIAL**
5013
Plot Measured?
27
4986
1
2
1
YES
9
2
NO
18
Sysmiss
4986
Why was plot not measured?
18
4995
1
3
1
TOO FAR
9
2
REFUSED
4
3
OTHER
5
Sysmiss
4995
Area (Acres) - GPS Measurement
9
5004
0.08
2.05
Weather conditions at measurement?
9
5004
1
5
1
CLEAR/ SUNNY
3
2
MOSTLY CLEAR / MOSTLY SUNNY
1
3
PARTLY CLOUDY / PARTLY SUNNY
4
4
MOSTLY CLOUDY / CONSIDERABLE CLOUDINESS
0
5
COMPLETELY CLOUDY
1
6
RAINY
0
Sysmiss
5004
In addition to the plots above, did you or anyone in your household own or culti
3334
1679
1
2
1
YES
27
2
NO
3307
Sysmiss
1679
Case Section Roster / Line Occurrence Sequence for O/S Merge
9157
0
1
12
1
5010
2
2207
3
1092
4
473
5
196
6
95
7
38
8
23
9
14
10
6
11
2
12
1
Unique Household Identification NPS Y3
9157
0
PLOT NUMBER
7447
0
M1
3300
M10
6
M11
2
M12
1
M2
2207
M3
1092
M4
473
M5
196
M6
95
M7
38
M8
23
M9
14
LIST ALL PLOTS OWNED OR CULTIVATED BY THE HOUSEHOLD IN MASIKA 2012
7447
0
**CONFIDENTIAL**
7447
What is the distance from [PLOT] to: HOME KM
7447
1710
0
967
What is the distance from [PLOT] to: ROAD KM
7447
1710
0
180
What is the distance from [PLOT] to: MARKET KM
7447
1710
0
190
How did you use this plot during the long rainy season 2012?
7447
1710
1
6
1
CULTIVATED
6183
2
RENTED OUT
54
3
GIVEN OUT
78
4
FALLOW
779
5
FOREST
114
6
OTHER (SPECIFY)
239
Sysmiss
1710
What was the total income from renting out this plot during the long rainy seaso
53
9104
10000
600000
Was any of this income collected in kind?
53
9104
1
2
1
YES
7
2
NO
46
Sysmiss
9104
What percentage was collected in kind?
7
9150
20
100
What was the main crop cultivated on this plot in the long rainy season 2012?
6183
0
ALIZETI
57
BAMIA
1
BIRINGANI
1
BOGA
1
CHAI
6
CHAINIZI
1
CHAKULA CHA MIFUGO
1
CHIKICHI
8
CHOROKO
7
CHUNGWA
5
DENGU
25
EMBE
2
FIWI
5
HILIKI
3
HOHO
1
ILIKI
4
KABICHI
3
KAHAMA
1
KAHAWA
60
KAKAO
12
KAPANGA
1
KARAFUU
5
KARANGA
136
KAROTI
3
KOKOA
1
KOROSHO
124
KUNDE
27
MABOGA
1
MACHUNGWA
3
MAEMBE
2
MAGIMBI
12
MAHARAGE
208
MAHINDI
2529
MANANASI
1
MANJANO
1
MAPARACHICHI
1
MATANGO
1
MATEMBALE
1
MATEMBELA
1
MATEMBELE
1
MATIKITI
1
MBAAZI
39
MBAO
3
MCHICHA
6
MCHIKICHI
10
MDALASINI
3
MGOMBA
3
MHINDI
1
MHOGO
19
MIANZI
1
MICHIKICHI
16
MICHUNGWA
10
MIDIMU
1
MIEMBE
18
MIGOMBA
323
MIHOGO
337
MIKARAFUU
9
MIKARAFUUNI
1
MIKEREBIA
1
MIKOBA
1
MIKOROSHO
70
MILINGO
1
MINANASI
3
MINAZI
37
MIPAINA
1
MIPINE
1
MIREMBE
1
MITI
5
MITI YA KUNI
1
MITI YA MBAO
24
MIVINJE
6
MIWA
13
MIWATI
1
MKONGE
2
MKOROSHO
46
MLIMAO
1
MLINGOTI
1
MNAVU
1
MNAZI
6
MPUNGA
712
MTAMA
168
MUHOGO
395
MUHONGO
1
MWANI
9
MWEMBE
10
NANASI
5
NAZI
9
NDIMU
6
NDIZI
17
NGANO
19
NJEGERE
2
NJUGU
5
NJUGU MAWE
1
NYANYA
16
NYUGU
1
PAINA
2
PAINES
2
PAMBA
163
PARACHICHI
2
PARETO
18
PEASI
1
PERA
1
PILIBOGA
1
PILIPILI MANGA
1
SOYA
2
SPINACH
1
TANGO
2
TEMBELE
2
TIKITI
2
TOPETOPE
1
TUMBAKU
33
TUNGULE
4
UFUTA
38
ULEZI
11
UWELE
61
UWESE
1
V/VIKUU
1
VIAZI
28
VIAZI MVIRINGO
4
VIAZI ULAYA
1
VIAZI VIKUU
9
VIAZI VITAMU
120
VITUNGUU
2
VITUNGUU MAJI
5
ZEITUNI
1
What was the main crop cultivated on this plot in the long rainy season 2012?
6183
2974
11
998
11
MAIZE
2528
12
PADDY
712
13
SORGHUM
168
14
BULRUSH MILLET
62
15
FINGER MILLET
11
16
WHEAT
19
17
BARLEY
0
18
BLACK PEPPER
1
19
SEAWEED
9
21
CASSAVA
755
22
SWEET POTATOES
130
23
IRISH POTATOES
23
24
YAMS
10
25
COCOYAMS
13
26
ONIONS
7
27
GINGER
0
31
BEANS
205
32
COWPEAS
30
33
GREEN GRAM
7
34
PIGEON PEA
38
35
CHICK PEAS
25
36
BAMBARA NUTS
5
37
FIELD PEAS
1
38
MALAY APPLE
0
39
STAR FRUIT
0
41
SUNFLOWER
56
42
SESAME
38
43
GROUNDNUT
140
44
PALM OIL
34
45
COCONUT
53
46
CASHEW NUT
241
47
SOYABEANS
2
48
CASTER SEED
0
50
COTTON
162
51
TOBACCO
33
52
PYRETHRUM
19
53
SISAL
2
54
COFFEE
60
55
TEA
6
56
COCOA
13
57
RUBBER
0
58
WATTLE
1
59
KAPOK
0
60
SUGAR CANE
13
61
CARDAMOM
7
62
JUTE
0
63
TAMARIND
0
64
CINNAMON
3
65
NUTMEG
0
66
CLOVE
15
67
BREAD FRUIT
0
68
POMELO
0
69
JACK FRUIT
0
70
PASSION FRUIT
0
71
BANANA
341
72
AVOCADO
3
73
MANGO
34
74
PAPAW
0
75
PINEAPPLE
9
76
ORANGE
18
77
GRAPEFRUIT
1
78
GRAPES
0
79
MANDARIN
0
80
GUAVA
1
81
PLUMS
0
82
APPLES
0
83
PEARS
1
84
PEACHES
0
86
CABBAGE
3
87
TOMATOES
19
88
SPINACH
3
89
CARROT
3
90
CHILIES
1
91
AMARANTHS
6
92
PUMPKINS
2
93
CUCUMBER
3
94
EGG PLANT
1
95
WATER MELLON
1
96
CAULIFLOWER
0
97
DURIAN
0
98
BILIMBI
2
99
RAMBUTAN
0
100
OKRA
1
101
FIWI
5
200
CUSTARD APPLE
1
201
GOD FRUIT
0
202
MITOBO
0
203
PLUM
0
204
PEACHES
0
205
POMEGRANATE
0
210
DATE
0
211
TUNGAMAA
0
212
VANILLA
0
300
GREEN TOMATO
0
301
MONKEYBREAD
0
302
BAMBOO
1
303
FIREWOOD/FODDER
2
304
TIMBER
40
305
MEDICINAL PLANT
0
306
FENCE TREE
1
851
LIME
7
852
LEMON
1
998
OTHER (SPECIFY)
15
Sysmiss
2974
Who decided what to plant on this plot in the long rainy season 2012? (ID #1)
6180
2977
1
99
Who decided what to plant on this plot in the long rainy season 2012? (ID #2)
3242
5915
1
99
Who decided what to plant on this plot in the long rainy season 2012? (ID #3)
170
8987
1
8
1
1
2
2
3
127
4
20
5
5
6
2
7
6
8
7
Sysmiss
8987
Who decided what to plant on this plot in the long rainy season 2012? (NR ID)
95
0
N01
71
N02
3
N03
1
N99
20
Who made the decisions about input use on this plot in the long rainy season 201
6181
2976
1
99
Who made the decisions about input use on this plot in the long rainy season 201
2991
6166
1
15
1
20
2
2841
3
73
4
22
5
10
6
9
7
10
8
2
9
3
15
1
Sysmiss
6166
Who made the decisions about input use on this plot in the long rainy season 201
145
9012
1
11
1
2
3
111
4
12
5
2
6
2
7
3
8
9
11
4
Sysmiss
9012
Who made the decisions about input use on this plot in the long rainy season 201
3
9154
99
99
99
3
Sysmiss
9154
What was the soil type of this plot?
6313
2844
1
4
1
SANDY
1136
2
LOAM
3759
3
CLAY
1237
4
OTHER (SPECIFY)
181
Sysmiss
2844
What was the soil quality of this plot?
6314
2843
1
3
1
GOOD
2864
2
AVERAGE
3053
3
BAD
397
Sysmiss
2843
How do you know the quality of the soil?
6312
2845
1
3
1
SCIENTIFICALLY TESTED
21
2
OWN EXPERIENCE
6004
3
OTHER (SPECIFY)
287
Sysmiss
2845
Were there any problems with erosion on this plot in the long rainy season 2012?
6314
2843
1
2
1
YES
658
2
NO
5656
Sysmiss
2843
What was the cause of these erosion problems?
657
8500
1
5
1
WIND
10
2
RAIN
639
3
ANIMALS
3
4
CULTIVATION WHICH DOES NOT COMPLY WITH SOIL CONSERVATIO
0
5
OTHER (SPECIFY)
5
Sysmiss
8500
Was there any erosion control/water harvesting facility on this plot in the long
6314
2843
1
2
1
YES
478
2
NO
5836
Sysmiss
2843
What type of erosion control/water harvesting facility was on this plot?
478
8679
1
8
1
TERRACES
180
2
EROSION CONTROL BUNDS
139
3
GABIONS/SANDBAGS
5
4
VETIVER GRASS
12
5
TREE BELTS
20
6
WATER HARVEST BUNDS
42
7
DRAINAGE DITCHES
79
8
DAM
1
Sysmiss
8679
What type of erosion control/water harvesting facility was on this plot?
33
9124
1
7
1
TERRACES
9
2
EROSION CONTROL BUNDS
11
3
GABIONS/SANDBAGS
0
4
VETIVER GRASS
2
5
TREE BELTS
4
6
WATER HARVEST BUNDS
4
7
DRAINAGE DITCHES
3
8
DAM
0
Sysmiss
9124
How steep is the slope of this plot?
6313
2844
1
4
1
FLAT BOTTOM
4095
2
FLAT TOP
305
3
SLIGHTLY SLOPED
1673
4
VERY STEEP
240
Sysmiss
2844
Was this plot irrigated in the long rainy season 2012?
6312
2845
1
2
1
YES
117
2
NO
6195
Sysmiss
2845
What was the type of irrigation?
117
9040
1
6
1
FLOODING
66
2
SPRINKLER
2
3
DRIP IRRIGATION
0
4
BUCKET/WATERING CAN
26
5
WATER HOSE
14
6
OTHER (SPECIFY)
9
Sysmiss
9040
What was the method of obtaining water?
117
9040
1
5
1
GRAVITY
75
2
HAND BUCKET
24
3
HAND/FOOT PUMP
1
4
MOTOR PUMP
16
5
OTHER (SPECIFY)
1
Sysmiss
9040
What was the source of water?
117
9040
1
5
1
WELL
14
2
BOREHOLE
3
3
POND/TANK
10
4
RIVER/STREAM
80
5
OTHER (SPECIFY)
10
Sysmiss
9040
What was the most recent year in which the plot was left fallow?
6552
2605
0
2013
0
NEVER
6217
98
DON'T KNOW
32
1962
1
1990
1
1997
1
1999
4
2000
1
2001
1
2002
1
2003
2
2004
1
2005
4
2006
9
2007
7
2008
22
2009
41
2010
70
2011
105
2012
29
2013
3
Sysmiss
2605
For how many consecutive years was this plot left fallow this last time?
1084
8073
0
23
What would the value of this plot be if it were sold today?
7441
1716
0
3000000000
What was the ownership status of this plot in the long rainy season 2012?
7446
1711
1
5
1
OWNED
6273
2
USED FREE OF CHARGE
834
3
RENTED IN
294
4
SHARED - RENT
4
5
SHARED - OWN
41
Sysmiss
1711
With whom do you co-own this plot? (NR ID #1)
41
0
N01
31
N02
7
N03
3
What share does your household get of the output?
41
9116
1
4
1
NOTHING
28
2
ALMOST NOTHING
2
3
ONE QUARTER
4
4
HALF
7
5
THREE QUARTERS
0
6
ALMOST ALL
0
Sysmiss
9116
What type of title did your household have for this plot?
6313
2844
1
11
1
GRANTED RIGHT OF OCCUPANCY
87
2
CERTIFICATE OF CUSTOMARY RIGHT OF OCCUPANCY
193
3
RESIDENTIAL LICENSE
10
4
VILLAGE-GOVERNMENT-WITNESSED PURCHASE AGREEMENT
209
5
LOCAL-COURT-CERTIFIED PURCHASE AGREEMENT
49
6
INHERITANCE LETTER
171
7
LETTER OF ALLOCATION FROM VILLAGE GOV'T
313
8
OTHER GOVERNMENT DOCUMENT
2
9
OFFICIAL CORRESPONDENCE
7
10
UTILITY OR OTHER BILL
28
11
NO TITLE
5244
Sysmiss
2844
Who in the household owns this plot? (ID #1)
6312
2845
1
14
1
6048
2
190
3
41
4
7
5
5
6
9
7
5
8
3
9
1
11
1
12
1
14
1
Sysmiss
2845
Who in the household owns this plot? (ID #2)
2360
6797
1
17
1
14
2
2278
3
34
4
12
5
4
6
4
7
7
8
2
15
1
17
4
Sysmiss
6797
Did the owner/household have the right to sell this plot or use it as collateral
6313
2844
1
2
1
YES
5595
2
NO
718
Sysmiss
2844
Who in the household can decide whether to sell this plot or use it as collatera
5588
3569
1
12
1
5377
2
161
3
28
4
2
5
4
6
10
7
3
9
1
12
2
Sysmiss
3569
Who in the household can decide whether to sell this plot or use it as collatera
1771
7386
1
22
With whom do you co-rent this plot? (NR ID #1)
4
0
N01
3
N02
1
How much did you pay to the owner for the use of this land in the long rainy sea
298
8859
0
750000
What period of time did this payment cover? (NO. UNITS)
295
8862
0
24
What period of time did this payment cover? (UNITS)
295
8862
1
2
1
MONTHS
113
2
YEARS
182
Sysmiss
8862
What share of output from this plot did you give as rent, if any, in the long ra
298
8859
1
6
1
NONE
288
2
ALMOST NONE
3
3
ABOUT 25%
4
4
ABOUT 50%
2
5
ABOUT 75%
0
6
ALMOST ALL
1
Sysmiss
8859
Who owns the plot? (NR ID #1)
1131
0
N01
881
N02
151
N03
53
N04
26
N05
13
N06
2
N07
2
N99
3
Who in the household has the rights to use this plot? (ID #1)
1131
8026
1
4
1
1041
2
76
3
10
4
4
Sysmiss
8026
Who in the household has the rights to use this plot? (ID #2)
428
8729
1
7
1
6
2
408
3
6
4
3
6
2
7
3
Sysmiss
8729
In which year was the plot acquired?
6310
2847
1900
2013
Would you feel comfortable leaving this plot uncultivated for several months wit
7446
1711
1
2
1
YES
6603
2
NO
843
Sysmiss
1711
DID THE HOUSEHOLD CULTIVATE THIS PLOT IN THE LONG RAINY SEASON 2012?
7447
1710
1
2
1
YES
6138
2
NO
1309
Sysmiss
1710
Did you use any ORGANIC FERTILIZER on [PLOT] in the long rainy season 2012?
6166
2991
1
2
1
YES
725
2
NO
5441
Sysmiss
2991
What was the quantity of organic fertilizer used?
725
8432
2
17000
Was any of this purchased?
725
8432
1
2
1
YES
93
2
NO
632
Sysmiss
8432
How much was purchased?
93
9064
30
14000
What was the total value of organic fertilizer purchased?
93
9064
0
700000
Where did you buy most of the organic fertilizer? (NR ID #1)
93
0
N01
57
N02
21
N03
9
N04
4
N05
2
Where did you buy most of the organic fertilizer? (NR ID #2)
0
0
Did you use any INORGANIC FERTILIZER on [PLOT] in the long rainy season 2012?
6168
2989
1
2
1
YES
691
2
NO
5477
Sysmiss
2989
What is the first type of INORGANIC FERTILIZER you used on this plot?
691
8466
1
7
1
DI-AMMOIUM PHOSPHATE (DAP)
121
2
UREA
346
3
TRIPLE SUPER PHOSPHATE (TSP)
9
4
CALCIUM AMMONIUM NITRATE (CAN)
93
5
SULPHATE OF AMMONIUM (SA)
64
6
NITROGEN PHOSPHATE POTASSIUM (NPK)
46
7
MINJINGU ROCK PHOSPHATE (MRP)
12
Sysmiss
8466
What quantity of [FERTILIZER] did you use?
691
8466
1
1400
Did you receive a voucher/ certificate for any of this [FERTILIZER]?
691
8466
1
2
1
YES
203
2
NO
488
Sysmiss
8466
What was the total value of [FERTILIZER] purchased?
691
8466
0
2100000
Why did you choose to use this specific type of inorganic fertilizer?
691
8466
1
5
1
ADVICE BY AGRICULTURAL OFFICER
176
2
RECEIVED VOUCHER
74
3
OWN EXPERIENCE
388
4
NEIGHBOUR ADVICE
43
5
OTHER (SPECIFY)
10
Sysmiss
8466
Where did you buy most of the [FERTILIZER]? (NR ID #1)
691
0
N01
463
N02
181
N03
34
N04
8
N05
3
N99
2
Where did you buy most of the [FERTILIZER]?
1
0
N03
1
Did you use a second type of INORGANIC FERTILIZER on [PLOT] in the long rainy se
691
8466
1
2
1
YES
254
2
NO
437
Sysmiss
8466
What is the second type of INORGANIC FERTILIZER you used on this plot?
254
8903
1
7
1
DI-AMMOIUM PHOSPHATE (DAP)
22
2
UREA
102
3
TRIPLE SUPER PHOSPHATE (TSP)
4
4
CALCIUM AMMONIUM NITRATE (CAN)
58
5
SULPHATE OF AMMONIUM (SA)
45
6
NITROGEN PHOSPHATE POTASSIUM (NPK)
15
7
MINJINGU ROCK PHOSPHATE (MRP)
8
Sysmiss
8903
What quantity of [FERTILIZER] did you use?
253
8904
1
1250
Did you receive a voucher/certificate for any of this [FERTILIZER]?
254
8903
1
2
1
YES
73
2
NO
181
Sysmiss
8903
What was the total value of [FERTILIZER] purchased?
254
8903
0
1610000
Where did you buy most of the [FERTILIZER]? (NR ID #1)
254
0
N01
168
N02
66
N03
8
N04
8
N05
2
N06
1
N99
1
Where did you buy most of the [FERTILIZER]? (NR ID #2)
0
0
Did you use any pesticide/ herbicide on [PLOT] in the long rainy season 2010?
6167
2990
1
2
1
YES
608
2
NO
5559
Sysmiss
2990
What was the main type of pesticide/herbicide that you applied?
608
8549
1
4
1
PESTICIDE
109
2
HERBICIDE
478
3
FUNGICIDE
16
4
OTHER (SPECIFY)
5
Sysmiss
8549
What quantity of this pesticide/herbicide did you use? (Quantity)
608
8549
0.03
10500
What quantity of this pesticide/herbicide did you use? (Unit)
608
8549
1
4
1
KG
144
2
LITRE
244
3
MILLILITRE
207
4
OTHER (SPECIFY)
13
Sysmiss
8549
What was the total value of this pesticides/ herbicides purchased?
608
8549
500
1700000
Why did you choose to use this specific type of pesticide/herbicide?
608
8549
1
5
1
ADVICE BY AGRICULTURAL OFFICER
212
2
RECEIVED VOUCHER
16
3
OWN EXPERIENCE
332
4
NEIGHBOUR ADVICE
47
5
OTHER (SPECIFY)
1
Sysmiss
8549
Where did you buy most of the pesticides/ herbicides? (NR ID #1)
608
0
N01
386
N02
148
N03
45
N04
10
N05
6
N06
6
N99
7
Where did you buy most of the pesticides/ herbicides? (NR ID #2)
3
0
N99
3
Did you receive any seeds, fertilizers, pesticides or herbicides for [PLOT] on c
6167
2990
1
2
1
YES
98
2
NO
6069
Sysmiss
2990
What were the types of input you received on credit? (#1)
98
9059
1
4
1
SEEDS
26
2
ORGANIC FERTILIZER
56
3
INORGANIC FERTILIZER
1
4
PESTICIDES/HERBICIDES
15
Sysmiss
9059
What were the types of input you received on credit? (#2)
33
9124
1
4
1
SEEDS
1
2
ORGANIC FERTILIZER
14
3
INORGANIC FERTILIZER
0
4
PESTICIDES/HERBICIDES
18
Sysmiss
9124
What were the types of input you received on credit? (#3)
10
9147
4
4
1
SEEDS
0
2
ORGANIC FERTILIZER
0
3
INORGANIC FERTILIZER
0
4
PESTICIDES/HERBICIDES
10
Sysmiss
9147
What were the types of input you received on credit? (#4)
0
9157
1
SEEDS
0
2
ORGANIC FERTILIZER
0
3
INORGANIC FERTILIZER
0
4
PESTICIDES/HERBICIDES
0
Sysmiss
9157
How much did you pay up front for these inputs?
98
9059
0
841000
How much did you repay in cash later on for the inputs?
98
9059
0
6780000
How much did you repay in kind later on for the inputs? (Quantity)
95
9062
0
798
How much did you repay in kind later on for the inputs? (Code)
85
9072
1
3
1
THIS CROP (KGs)
24
2
LABOR (DAYS)
0
3
OTHER (SPECIFY)
61
Sysmiss
9072
From whom did you receive these inputs on credit? (NR ID #1)
98
0
99
1
N01
65
N02
29
N03
3
From whom did you receive these inputs on credit? (NR ID #2)
1
0
99
1
How many days did [NAME] spend on (Land preparation and planting) (ID #1)
5671
3486
1
14
1
5087
2
474
3
76
4
17
5
2
6
3
7
9
8
1
11
1
14
1
Sysmiss
3486
How many days did [NAME] spend on (Land preparation and planting) (ID #1 Days)
5671
3486
0
98
How many days did [NAME] spend on (Land preparation and planting) (ID #2)
4487
4670
1
17
1
22
2
3896
3
365
4
103
5
36
6
31
7
20
8
2
9
3
10
3
11
2
12
3
17
1
Sysmiss
4670
How many days did [NAME] spend on (Land preparation and planting) (ID #2 Days)
4487
4670
0
98
How many days did [NAME] spend on (Land preparation and planting) (ID #3)
2366
6791
1
14
1
9
2
7
3
1689
4
350
5
166
6
62
7
43
8
22
9
7
10
8
12
1
14
2
Sysmiss
6791
How many days did [NAME] spend on (Land preparation and planting) (ID #3 Days)
2366
6791
0
70
How many days did [NAME] spend on (Land preparation and planting) (ID #4)
1415
7742
1
18
1
4
3
8
4
934
5
257
6
93
7
49
8
21
9
16
10
10
11
11
12
3
15
2
17
4
18
3
Sysmiss
7742
How many days did [NAME] spend on (Land preparation and planting) (ID #4 Days)
1415
7742
0
70
How many days did [NAME] spend on (Land preparation and planting) (ID #5)
718
8439
1
18
1
2
2
2
3
7
4
5
5
438
6
121
7
49
8
33
9
24
10
16
11
9
12
1
13
4
14
1
16
2
18
4
Sysmiss
8439
How many days did [NAME] spend on (Land preparation and planting) (ID #5 Days)
718
8439
0
70
How many days did [NAME] spend on (Land preparation and planting) (ID #6)
358
8799
1
22
How many days did [NAME] spend on (Land preparation and planting) (ID #6 Days)
358
8799
0
60
How many days did [NAME] spend on (Weeding) (ID #1)
5789
3368
1
14
1
5107
2
566
3
74
4
20
5
5
6
3
7
12
8
1
14
1
Sysmiss
3368
How many days did [NAME] spend on (Weeding) (ID #1 Days)
5789
3368
0
90
How many days did [NAME] spend on (Weeding) (ID #2)
4557
4600
1
17
1
21
2
3922
3
414
4
105
5
41
6
25
7
17
8
5
9
3
10
2
12
1
17
1
Sysmiss
4600
How many days did [NAME] spend on (Weeding) (ID #2 Days)
4556
4601
0
98
How many days did [NAME] spend on (Weeding) (ID #3)
2391
6766
1
18
1
6
2
5
3
1667
4
400
5
160
6
69
7
31
8
28
9
9
10
9
12
1
13
1
14
2
18
3
Sysmiss
6766
How many days did [NAME] spend on (Weeding) (ID #3 Days)
2390
6767
0
60
How many days did [NAME] spend on (Weeding) (ID #4)
1436
7721
1
17
1
4
3
7
4
932
5
254
6
102
7
61
8
31
9
14
10
12
11
9
12
5
15
2
17
3
Sysmiss
7721
How many days did [NAME] spend on (Weeding) (ID #4 Days)
1436
7721
0
60
How many days did [NAME] spend on (Weeding) (ID #5)
730
8427
1
18
1
1
2
4
3
4
4
4
5
426
6
125
7
67
8
35
9
24
10
17
11
9
12
1
13
5
14
3
16
2
18
3
Sysmiss
8427
How many days did [NAME] spend on (Weeding) (ID #5 Days)
730
8427
0
90
How many days did [NAME] spend on (Weeding) (ID #6)
344
8813
1
22
How many days did [NAME] spend on (Weeding) (ID #6 Days)
344
8813
0
90
How many days did [NAME] spend on (Ridging, Fertilizing) (ID #1)
3538
5619
1
14
1
3165
2
288
3
53
4
16
5
6
6
6
7
2
8
1
14
1
Sysmiss
5619
How many days did [NAME] spend on (Ridging, Fertilizing) (ID #1 Days)
3535
5622
0
48
How many days did [NAME] spend on (Ridging, Fertilizing) (ID #2)
1747
7410
0
17
0
1
1
7
2
1480
3
149
4
58
5
14
6
19
7
10
8
2
9
5
14
1
17
1
Sysmiss
7410
How many days did [NAME] spend on (Ridging, Fertilizing) (ID #2 Days)
1743
7414
0
48
How many days did [NAME] spend on (Ridging, Fertilizing) (ID #3)
769
8388
2
10
2
1
3
519
4
116
5
69
6
23
7
26
8
6
9
8
10
1
Sysmiss
8388
How many days did [NAME] spend on (Ridging, Fertilizing) (ID #3 Days)
768
8389
0
60
How many days did [NAME] spend on (Ridging, Fertilizing) (ID #4)
397
8760
1
12
1
1
3
3
4
252
5
75
6
29
7
15
8
11
9
1
10
6
11
1
12
3
Sysmiss
8760
How many days did [NAME] spend on (Ridging, Fertilizing) (ID #4 Days)
397
8760
0
60
How many days did [NAME] spend on (Ridging, Fertilizing) (ID #5)
195
8962
2
17
2
1
4
1
5
108
6
43
7
16
8
12
9
6
10
3
11
3
13
1
17
1
Sysmiss
8962
How many days did [NAME] spend on (Ridging, Fertilizing) (ID #5 Days)
195
8962
0
60
How many days did [NAME] spend on (Ridging, Fertilizing) (ID #6)
89
9068
6
18
6
44
7
24
8
5
10
4
11
7
12
1
13
1
14
2
18
1
Sysmiss
9068
How many days did [NAME] spend on (Ridging, Fertilizing) (ID #6 Days)
89
9068
0
18
0
16
1
17
2
20
3
15
4
4
5
6
6
4
7
5
8
1
18
1
Sysmiss
9068
How many days did [NAME] spend on (Harvesting) (ID #1)
5781
3376
1
14
1
5035
2
626
3
86
4
16
5
8
6
2
7
6
8
1
14
1
Sysmiss
3376
How many days did [NAME] spend on (Harvesting) (ID #1 Days)
5781
3376
0
98
How many days did [NAME] spend on (Harvesting) (ID #2)
4553
4604
1
17
1
36
2
3883
3
424
4
107
5
38
6
28
7
22
8
2
9
1
10
4
11
4
12
3
17
1
Sysmiss
4604
How many days did [NAME] spend on (Harvesting) (ID #2 Days)
4553
4604
0
90
How many days did [NAME] spend on (Harvesting) (ID #3)
2412
6745
1
18
1
12
2
11
3
1645
4
406
5
162
6
79
7
48
8
30
9
6
10
6
12
2
14
2
18
3
Sysmiss
6745
How many days did [NAME] spend on (Harvesting) (ID #3 Days)
2411
6746
0
90
How many days did [NAME] spend on (Harvesting) (ID #4)
1433
7724
1
17
1
4
3
12
4
918
5
285
6
83
7
50
8
34
9
12
10
14
11
10
12
5
15
2
17
4
Sysmiss
7724
How many days did [NAME] spend on (Harvesting) (ID #4 Days)
1433
7724
0
90
How many days did [NAME] spend on (Harvesting) (ID #5)
740
8417
1
18
1
1
2
2
3
2
4
5
5
431
6
137
7
69
8
30
9
21
10
16
11
9
12
4
13
4
14
3
16
2
18
4
Sysmiss
8417
How many days did [NAME] spend on (Harvesting) (ID #5 Days)
740
8417
0
75
How many days did [NAME] spend on (Harvesting) (ID #6)
342
8815
1
22
How many days did [NAME] spend on (Harvesting) (ID #6 Days)
342
8815
0
75
Typical number of hours per day worked by an individual on this plot (Land Prepa
5661
3496
0
16
0
190
1
68
2
177
3
421
4
851
5
904
6
1480
7
504
8
715
9
141
10
151
11
22
12
36
16
1
Sysmiss
3496
Typical number of hours per day worked by an individual on this plot (Weeding)
5781
3376
0
15
0
243
1
70
2
216
3
478
4
870
5
923
6
1451
7
501
8
697
9
127
10
165
11
15
12
24
15
1
Sysmiss
3376
Typical number of hours per day worked by an individual on this plot (Ridging, F
3476
5681
0
12
0
1327
1
323
2
380
3
328
4
298
5
252
6
273
7
95
8
133
9
27
10
28
12
12
Sysmiss
5681
Typical number of hours per day worked by an individual on this plot (Harvesting
5779
3378
0
21
Did you hire any labor to work on this plot in the long rainy seaon 2012?
6166
2991
1
2
1
YES
1973
2
NO
4193
Sysmiss
2991
- Land preparation and planting (Women Days)
1973
7184
0
330
- Land preparation and planting (Men Days)
1968
7189
0
74
- Land preparation and planting (Child Days)
1970
7187
0
60
- Land preparation and planting (Total Wage Paid (TSH))
1972
7185
0
1400000
- Weeding (Women Days)
1971
7186
0
92
- Weeding (Men Days)
1971
7186
0
99
- Weeding (Children Days)
1972
7185
0
90
- Weeding TOTAL
1972
7185
0
3200000
- Ridging, fertilizing, other non-harvest activities (Women Days)
1973
7184
0
60
- Ridging, fertilizing, other non-harvest activities (Men Days)
1971
7186
0
60
- Ridging, fertilizing, other non-harvest activities (Child Days)
1971
7186
0
15
0
1966
2
1
4
2
10
1
15
1
Sysmiss
7186
- Ridging, fertilizing, other non-harvest activities (Total Wage Paid (TSH))
1973
7184
0
600000
- Harvesting (Women Days)
1972
7185
0
99
- Harvesting (Men Days)
1973
7184
0
90
- Harvesting (Child Days)
1972
7185
0
70
- Harvesting (Total Wage Paid (TSH))
1973
7184
0
1500000
WHEN WAS THE LAST SHORT RAINY SEASON?
7446
1711
1
2
1
OCT-DEC 2011
4753
2
OCT-DEC 2012
2693
Sysmiss
1711
Did you cultivate this plot in the short rainy season 2011?
4753
4404
1
2
1
YES
1215
2
NO
3538
Sysmiss
4404
What was the main crop cultivated on this plot in the short rainy season 2011?
1215
7942
11
998
11
MAIZE
539
12
PADDY
46
13
SORGHUM
20
14
BULRUSH MILLET
2
15
FINGER MILLET
0
16
WHEAT
0
17
BARLEY
0
18
BLACK PEPPER
0
19
SEAWEED
2
21
CASSAVA
159
22
SWEET POTATOES
38
23
IRISH POTATOES
5
24
YAMS
1
25
COCOYAMS
1
26
ONIONS
1
27
GINGER
0
31
BEANS
86
32
COWPEAS
7
33
GREEN GRAM
1
34
PIGEON PEA
5
35
CHICK PEAS
0
36
BAMBARA NUTS
1
37
FIELD PEAS
0
38
MALAY APPLE
0
39
STAR FRUIT
0
41
SUNFLOWER
2
42
SESAME
1
43
GROUNDNUT
12
44
PALM OIL
7
45
COCONUT
5
46
CASHEW NUT
12
47
SOYABEANS
1
48
CASTER SEED
0
50
COTTON
30
51
TOBACCO
2
52
PYRETHRUM
0
53
SISAL
0
54
COFFEE
12
55
TEA
3
56
COCOA
0
57
RUBBER
0
58
WATTLE
0
59
KAPOK
0
60
SUGAR CANE
6
61
CARDAMOM
4
62
JUTE
0
63
TAMARIND
0
64
CINNAMON
0
65
NUTMEG
0
66
CLOVE
1
67
BREAD FRUIT
0
68
POMELO
0
69
JACK FRUIT
1
70
PASSION FRUIT
0
71
BANANA
144
72
AVOCADO
1
73
MANGO
14
74
PAPAW
0
75
PINEAPPLE
0
76
ORANGE
5
77
GRAPEFRUIT
0
78
GRAPES
0
79
MANDARIN
0
80
GUAVA
1
81
PLUMS
0
82
APPLES
0
83
PEARS
0
84
PEACHES
0
86
CABBAGE
3
87
TOMATOES
7
88
SPINACH
1
89
CARROT
1
90
CHILIES
0
91
AMARANTHS
4
92
PUMPKINS
1
93
CUCUMBER
2
94
EGG PLANT
2
95
WATER MELLON
1
96
CAULIFLOWER
1
97
DURIAN
0
98
BILIMBI
0
99
RAMBUTAN
0
100
OKRA
2
101
FIWI
0
200
CUSTARD APPLE
0
201
GOD FRUIT
0
202
MITOBO
0
203
PLUM
0
204
PEACHES
0
205
POMEGRANATE
0
210
DATE
0
211
TUNGAMAA
0
212
VANILLA
0
300
GREEN TOMATO
0
301
MONKEYBREAD
0
302
BAMBOO
0
303
FIREWOOD/FODDER
2
304
TIMBER
7
305
MEDICINAL PLANT
0
306
FENCE TREE
0
851
LIME
0
852
LEMON
0
998
OTHER (SPECIFY)
3
Sysmiss
7942
Did you have use of this plot in the short rainy season 2011?
3538
5619
1
2
1
YES
3334
2
NO
204
Sysmiss
5619
How did you acquire this plot for the long rainy season 2012?
205
8952
1
7
1
BOUGHT IT
33
2
INHERITED
15
3
STARTED RENTING/SHARECROPPING
67
4
CLEARED IT
10
5
DISTRIBUTED BY VILLAGE
7
6
RECEIVED AS GIFT
63
7
OCCUPIED
10
Sysmiss
8952
How did you use this plot during the short rainy season 2011?
3332
5825
1
5
1
RENTED
32
2
GIVEN
53
3
FALLOW
1976
4
FOREST
332
5
OTHER (SPECIFY)
939
Sysmiss
5825
Did you cultivate this plot in the short rainy season 2012?
2693
6464
1
2
1
YES
497
2
NO
2196
Sysmiss
6464
What was the main crop cultivated on this plot in the short rainy season 2012?
497
8660
11
998
11
MAIZE
172
12
PADDY
10
13
SORGHUM
3
14
BULRUSH MILLET
0
15
FINGER MILLET
0
16
WHEAT
0
17
BARLEY
0
18
BLACK PEPPER
1
19
SEAWEED
1
21
CASSAVA
100
22
SWEET POTATOES
6
23
IRISH POTATOES
1
24
YAMS
2
25
COCOYAMS
2
26
ONIONS
0
27
GINGER
0
31
BEANS
44
32
COWPEAS
6
33
GREEN GRAM
0
34
PIGEON PEA
0
35
CHICK PEAS
0
36
BAMBARA NUTS
1
37
FIELD PEAS
0
38
MALAY APPLE
0
39
STAR FRUIT
0
41
SUNFLOWER
0
42
SESAME
1
43
GROUNDNUT
5
44
PALM OIL
29
45
COCONUT
5
46
CASHEW NUT
2
47
SOYABEANS
0
48
CASTER SEED
0
50
COTTON
3
51
TOBACCO
0
52
PYRETHRUM
0
53
SISAL
0
54
COFFEE
1
55
TEA
0
56
COCOA
0
57
RUBBER
0
58
WATTLE
0
59
KAPOK
0
60
SUGAR CANE
5
61
CARDAMOM
2
62
JUTE
0
63
TAMARIND
0
64
CINNAMON
2
65
NUTMEG
0
66
CLOVE
0
67
BREAD FRUIT
0
68
POMELO
0
69
JACK FRUIT
0
70
PASSION FRUIT
0
71
BANANA
58
72
AVOCADO
1
73
MANGO
17
74
PAPAW
0
75
PINEAPPLE
0
76
ORANGE
3
77
GRAPEFRUIT
0
78
GRAPES
0
79
MANDARIN
1
80
GUAVA
0
81
PLUMS
0
82
APPLES
0
83
PEARS
0
84
PEACHES
0
86
CABBAGE
0
87
TOMATOES
1
88
SPINACH
0
89
CARROT
0
90
CHILIES
0
91
AMARANTHS
0
92
PUMPKINS
0
93
CUCUMBER
0
94
EGG PLANT
0
95
WATER MELLON
0
96
CAULIFLOWER
0
97
DURIAN
0
98
BILIMBI
0
99
RAMBUTAN
0
100
OKRA
1
101
FIWI
1
200
CUSTARD APPLE
0
201
GOD FRUIT
0
202
MITOBO
0
203
PLUM
0
204
PEACHES
0
205
POMEGRANATE
0
210
DATE
0
211
TUNGAMAA
0
212
VANILLA
0
300
GREEN TOMATO
0
301
MONKEYBREAD
0
302
BAMBOO
0
303
FIREWOOD/FODDER
1
304
TIMBER
8
305
MEDICINAL PLANT
0
306
FENCE TREE
0
851
LIME
0
852
LEMON
0
998
OTHER (SPECIFY)
1
Sysmiss
8660
Did you have use of this plot in the short rainy season 2012?
2196
6961
1
2
1
YES
2096
2
NO
100
Sysmiss
6961
Why did you not have this plot (owned or cultivated) in the short rainy season 2
100
9057
1
6
1
SOLD IT
1
2
ABANDONED
7
3
TAKEN
39
4
REDISTR BY VILLAGE
15
5
GIVEN AWAY
16
6
STOPPED RENTING/SHARECROPPING
22
Sysmiss
9057
How did you use this plot during the short rainy season 2012?
2096
7061
1
5
1
RENTED
4
2
GIVEN
26
3
FALLOW
1339
4
FOREST
63
5
OTHER (SPECIFY)
664
Sysmiss
7061
Case Section Roster / Line Occurrence Sequence for O/S Merge
9173
0
1
12
1
5010
2
2217
3
1096
4
474
5
197
6
95
7
38
8
23
9
14
10
6
11
2
12
1
Unique Household Identification NPS Y3
9173
0
PLOT NUMBER
7474
0
M1
3300
M10
6
M11
2
M12
1
M2
2207
M3
1092
M4
473
M5
196
M6
95
M7
38
M8
23
M9
14
V1
24
V2
3
LIST ALL PLOTS OWNED OR CULTIVATED BY THE HOUSEHOLD IN MASIKA 2012
7472
0
**CONFIDENTIAL**
7472
ENUMERATOR: DID YOU ALREADY LIST THIS PLOT ABOVE IN 3A?
7469
1704
1
2
1
PLOT ALREADY LISTED IN 3A
7443
2
NEW PLOT IN 3B
26
Sysmiss
1704
What is the distance from [PLOT] to: HOME KM
26
9147
0
80
What is the distance from [PLOT] to: ROAD KM
26
9147
0
6
0
8
0.300000011920929
1
0.5
2
1
8
2
2
3
3
4
1
6
1
Sysmiss
9147
What is the distance from [PLOT] to: MARKET KM
26
9147
0
35
How did you use this plot during the long rainy season 2012?
26
9147
1
6
1
CULTIVATED
21
2
RENTED OUT
0
3
GIVEN OUT
0
4
FALLOW
0
5
FOREST
0
6
OTHER (SPECIFY)
5
Sysmiss
9147
What was the total income from renting out this plot during the long rainy seaso
0
9173
Sysmiss
9173
Was any of this income collected in kind?
0
9173
1
YES
0
2
NO
0
Sysmiss
9173
What percentage was collected in kind?
0
9173
Sysmiss
9173
What was the main crop cultivated on this plot in the long rainy season 2012?
21
0
KARANGA
2
KUNDE
1
MAHINDI
8
MIHOGO
1
MITI YA MBAO
2
MPUNGA
5
PAMBA
1
VIAZI VITAMU
1
What was the main crop cultivated on this plot in the long rainy season 2012?
21
9152
11
304
11
MAIZE
8
12
PADDY
5
13
SORGHUM
0
14
BULRUSH MILLET
0
15
FINGER MILLET
0
16
WHEAT
0
17
BARLEY
0
18
BLACK PEPPER
0
19
SEAWEED
0
21
CASSAVA
1
22
SWEET POTATOES
1
23
IRISH POTATOES
0
24
YAMS
0
25
COCOYAMS
0
26
ONIONS
0
27
GINGER
0
31
BEANS
0
32
COWPEAS
1
33
GREEN GRAM
0
34
PIGEON PEA
0
35
CHICK PEAS
0
36
BAMBARA NUTS
0
37
FIELD PEAS
0
38
MALAY APPLE
0
39
STAR FRUIT
0
41
SUNFLOWER
0
42
SESAME
0
43
GROUNDNUT
2
44
PALM OIL
0
45
COCONUT
0
46
CASHEW NUT
0
47
SOYABEANS
0
48
CASTER SEED
0
50
COTTON
1
51
TOBACCO
0
52
PYRETHRUM
0
53
SISAL
0
54
COFFEE
0
55
TEA
0
56
COCOA
0
57
RUBBER
0
58
WATTLE
0
59
KAPOK
0
60
SUGAR CANE
0
61
CARDAMOM
0
62
JUTE
0
63
TAMARIND
0
64
CINNAMON
0
65
NUTMEG
0
66
CLOVE
0
67
BREAD FRUIT
0
68
POMELO
0
69
JACK FRUIT
0
70
PASSION FRUIT
0
71
BANANA
0
72
AVOCADO
0
73
MANGO
0
74
PAPAW
0
75
PINEAPPLE
0
76
ORANGE
0
77
GRAPEFRUIT
0
78
GRAPES
0
79
MANDARIN
0
80
GUAVA
0
81
PLUMS
0
82
APPLES
0
83
PEARS
0
84
PEACHES
0
86
CABBAGE
0
87
TOMATOES
0
88
SPINACH
0
89
CARROT
0
90
CHILIES
0
91
AMARANTHS
0
92
PUMPKINS
0
93
CUCUMBER
0
94
EGG PLANT
0
95
WATER MELLON
0
96
CAULIFLOWER
0
97
DURIAN
0
98
BILIMBI
0
99
RAMBUTAN
0
100
OKRA
0
101
FIWI
0
200
CUSTARD APPLE
0
201
GOD FRUIT
0
202
MITOBO
0
203
PLUM
0
204
PEACHES
0
205
POMEGRANATE
0
210
DATE
0
211
TUNGAMAA
0
212
VANILLA
0
300
GREEN TOMATO
0
301
MONKEYBREAD
0
302
BAMBOO
0
303
FIREWOOD/FODDER
0
304
TIMBER
2
305
MEDICINAL PLANT
0
306
FENCE TREE
0
851
LIME
0
852
LEMON
0
998
OTHER (SPECIFY)
0
Sysmiss
9152
Who decided what to plant on this plot in the long rainy season 2012? (ID #1)
21
9152
1
1
1
21
Sysmiss
9152
Who decided what to plant on this plot in the long rainy season 2012? (ID #2)
11
9162
2
2
2
11
Sysmiss
9162
Who decided what to plant on this plot in the long rainy season 2012? (ID #3)
0
9173
Sysmiss
9173
Who decided what to plant on this plot in the long rainy season 2012? (NR ID)
0
0
Who made the decisions about input use on this plot in the long rainy season 201
21
9152
1
1
1
21
Sysmiss
9152
Who made the decisions about input use on this plot in the long rainy season 201
10
9163
2
2
2
10
Sysmiss
9163
Who made the decisions about input use on this plot in the long rainy season 201
0
9173
Sysmiss
9173
Who made the decisions about input use on this plot in the long rainy season 201
0
9173
Sysmiss
9173
What was the soil type of this plot?
21
9152
2
4
1
SANDY
0
2
LOAM
13
3
CLAY
7
4
OTHER (SPECIFY)
1
Sysmiss
9152
What was the soil quality of this plot?
21
9152
1
3
1
GOOD
9
2
AVERAGE
11
3
BAD
1
Sysmiss
9152
How do you know the quality of the soil?
21
9152
2
3
1
SCIENTIFICALLY TESTED
0
2
OWN EXPERIENCE
19
3
OTHER (SPECIFY)
2
Sysmiss
9152
Were there any problems with erosion on this plot in the long rainy season 2012?
21
9152
1
2
1
YES
2
2
NO
19
Sysmiss
9152
What was the cause of these erosion problems?
2
9171
2
2
1
WIND
0
2
RAIN
2
3
ANIMALS
0
4
CULTIVATION WHICH DOES NOT COMPLY WITH SOIL CONSERVATIO
0
5
OTHER (SPECIFY)
0
Sysmiss
9171
Was there any erosion control/water harvesting facility on this plot in the long
21
9152
1
2
1
YES
1
2
NO
20
Sysmiss
9152
What type of erosion control/water harvesting facility was on this plot?
1
9172
2
2
1
TERRACES
0
2
EROSION CONTROL BUNDS
1
3
GABIONS/SANDBAGS
0
4
VETIVER GRASS
0
5
TREE BELTS
0
6
WATER HARVEST BUNDS
0
7
DRAINAGE DITCHES
0
8
DAM
0
Sysmiss
9172
What type of erosion control/water harvesting facility was on this plot?
0
9173
1
TERRACES
0
2
EROSION CONTROL BUNDS
0
3
GABIONS/SANDBAGS
0
4
VETIVER GRASS
0
5
TREE BELTS
0
6
WATER HARVEST BUNDS
0
7
DRAINAGE DITCHES
0
8
DAM
0
Sysmiss
9173
How steep is the slope of this plot?
21
9152
1
3
1
FLAT BOTTOM
12
2
FLAT TOP
1
3
SLIGHTLY SLOPED
8
4
VERY STEEP
0
Sysmiss
9152
Was this plot irrigated in the long rainy season 2012?
21
9152
1
2
1
YES
2
2
NO
19
Sysmiss
9152
What was the type of irrigation?
2
9171
1
1
1
FLOODING
2
2
SPRINKLER
0
3
DRIP IRRIGATION
0
4
BUCKET/WATERING CAN
0
5
WATER HOSE
0
6
OTHER (SPECIFY)
0
Sysmiss
9171
What was the method of obtaining water?
2
9171
1
1
1
GRAVITY
2
2
HAND BUCKET
0
3
HAND/FOOT PUMP
0
4
MOTOR PUMP
0
5
OTHER (SPECIFY)
0
Sysmiss
9171
What was the source of water?
2
9171
4
4
1
WELL
0
2
BOREHOLE
0
3
POND/TANK
0
4
RIVER/STREAM
2
5
OTHER (SPECIFY)
0
Sysmiss
9171
What was the most recent year in which the plot was left fallow?
26
9147
0
2012
0
NEVER
17
98
DON'T KNOW
4
2010
2
2011
1
2012
2
Sysmiss
9147
For how many consecutive years was this plot left fallow this last time?
5
9168
1
1
1
5
Sysmiss
9168
What would the value of this plot be if it were sold today?
26
9147
25000
3000000
What was the ownership status of this plot in the long rainy season 2012?
26
9147
1
3
1
OWNED
5
2
USED FREE OF CHARGE
11
3
RENTED IN
10
4
SHARED - RENT
0
5
SHARED - OWN
0
Sysmiss
9147
With whom do you co-own this plot? (NR ID #1)
0
0
What share does your household get of the output?
0
9173
1
NOTHING
0
2
ALMOST NOTHING
0
3
ONE QUARTER
0
4
HALF
0
5
THREE QUARTERS
0
6
ALMOST ALL
0
Sysmiss
9173
What type of title did your household have for this plot?
5
9168
11
11
1
GRANTED RIGHT OF OCCUPANCY
0
2
CERTIFICATE OF CUSTOMARY RIGHT OF OCCUPANCY
0
3
RESIDENTIAL LICENSE
0
4
VILLAGE-GOVERNMENT-WITNESSED PURCHASE AGREEMENT
0
5
LOCAL-COURT-CERTIFIED PURCHASE AGREEMENT
0
6
INHERITANCE LETTER
0
7
LETTER OF ALLOCATION FROM VILLAGE GOV'T
0
8
OTHER GOVERNMENT DOCUMENT
0
9
OFFICIAL CORRESPONDENCE
0
10
UTILITY OR OTHER BILL
0
11
NO TITLE
5
Sysmiss
9168
Who in the household owns this plot? (ID #1)
5
9168
1
1
1
5
Sysmiss
9168
Who in the household owns this plot? (ID #2)
3
9170
2
2
2
3
Sysmiss
9170
Did the owner/household have the right to sell this plot or use it as collateral
5
9168
1
2
1
YES
3
2
NO
2
Sysmiss
9168
Who in the household can decide whether to sell this plot or use it as collatera
3
9170
1
1
1
3
Sysmiss
9170
Who in the household can decide whether to sell this plot or use it as collatera
2
9171
2
2
2
2
Sysmiss
9171
With whom do you co-rent this plot? (NR ID #1)
0
0
How much did you pay to the owner for the use of this land in the long rainy sea
10
9163
10000
200000
What period of time did this payment cover? (NO. UNITS)
10
9163
1
8
1
3
4
1
6
3
8
3
Sysmiss
9163
What period of time did this payment cover? (UNITS)
10
9163
1
2
1
MONTHS
7
2
YEARS
3
Sysmiss
9163
What share of output from this plot did you give as rent, if any, in the long ra
10
9163
1
1
1
NONE
10
2
ALMOST NONE
0
3
ABOUT 25%
0
4
ABOUT 50%
0
5
ABOUT 75%
0
6
ALMOST ALL
0
Sysmiss
9163
Who owns the plot? (NR ID #1)
21
0
N01
13
N02
6
N03
1
N06
1
Who in the household has the rights to use this plot? (ID #1)
21
9152
1
2
1
20
2
1
Sysmiss
9152
Who in the household has the rights to use this plot? (ID #2)
12
9161
2
2
2
12
Sysmiss
9161
In which year was the plot acquired?
5
9168
2012
2012
2012
5
Sysmiss
9168
Would you feel comfortable leaving this plot uncultivated for several months wit
26
9147
1
2
1
YES
8
2
NO
18
Sysmiss
9147
DID THE HOUSEHOLD CULTIVATE THIS PLOT IN THE LONG RAINY SEASON 2012?
7471
1702
1
2
1
YES
1686
2
NO
5785
Sysmiss
1702
Did you use any ORGANIC FERTILIZER on [PLOT] in the long rainy season 2012?
1685
7488
1
2
1
YES
197
2
NO
1488
Sysmiss
7488
What was the quantity of organic fertilizer used?
197
8976
3
50000
Was any of this purchased?
197
8976
1
2
1
YES
21
2
NO
176
Sysmiss
8976
How much was purchased?
21
9152
60
14000
What was the total value of organic fertilizer purchased?
21
9152
1800
210000
Where did you buy most of the organic fertilizer? (NR ID #1)
21
0
N01
16
N02
3
N03
2
Where did you buy most of the organic fertilizer? (NR ID #2)
0
0
Did you use any INORGANIC FERTILIZER on [PLOT] in the long rainy season 2012?
1686
7487
1
2
1
YES
51
2
NO
1635
Sysmiss
7487
What is the first type of INORGANIC FERTILIZER you used on this plot?
51
9122
1
7
1
DI-AMMOIUM PHOSPHATE (DAP)
22
2
UREA
18
3
TRIPLE SUPER PHOSPHATE (TSP)
1
4
CALCIUM AMMONIUM NITRATE (CAN)
2
5
SULPHATE OF AMMONIUM (SA)
1
6
NITROGEN PHOSPHATE POTASSIUM (NPK)
6
7
MINJINGU ROCK PHOSPHATE (MRP)
1
Sysmiss
9122
What quantity of [FERTILIZER] did you use?
51
9122
1
550
Did you receive a voucher/ certificate for any of this [FERTILIZER]?
51
9122
1
2
1
YES
4
2
NO
47
Sysmiss
9122
What was the total value of [FERTILIZER] purchased?
51
9122
1200
1045000
Why did you choose to use this specific type of inorganic fertilizer?
51
9122
1
5
1
ADVICE BY AGRICULTURAL OFFICER
8
2
RECEIVED VOUCHER
1
3
OWN EXPERIENCE
38
4
NEIGHBOUR ADVICE
3
5
OTHER (SPECIFY)
1
Sysmiss
9122
Where did you buy most of the [FERTILIZER]? (NR ID #1)
51
0
N01
29
N02
21
N04
1
Where did you buy most of the [FERTILIZER]?
0
0
Did you use a second type of INORGANIC FERTILIZER on [PLOT] in the long rainy se
51
9122
1
2
1
YES
14
2
NO
37
Sysmiss
9122
What is the second type of INORGANIC FERTILIZER you used on this plot?
14
9159
1
6
1
DI-AMMOIUM PHOSPHATE (DAP)
5
2
UREA
8
3
TRIPLE SUPER PHOSPHATE (TSP)
0
4
CALCIUM AMMONIUM NITRATE (CAN)
0
5
SULPHATE OF AMMONIUM (SA)
0
6
NITROGEN PHOSPHATE POTASSIUM (NPK)
1
7
MINJINGU ROCK PHOSPHATE (MRP)
0
Sysmiss
9159
What quantity of [FERTILIZER] did you use?
14
9159
3
550
Did you receive a voucher/certificate for any of this [FERTILIZER]?
14
9159
1
2
1
YES
2
2
NO
12
Sysmiss
9159
What was the total value of [FERTILIZER] purchased?
14
9159
3600
770000
Where did you buy most of the [FERTILIZER]? (NR ID #1)
14
0
N01
10
N02
4
Where did you buy most of the [FERTILIZER]? (NR ID #2)
0
0
Did you use any pesticide/ herbicide on [PLOT] in the long rainy season 2010?
1687
7486
1
2
1
YES
76
2
NO
1611
Sysmiss
7486
What was the main type of pesticide/herbicide that you applied?
76
9097
1
3
1
PESTICIDE
10
2
HERBICIDE
63
3
FUNGICIDE
3
4
OTHER (SPECIFY)
0
Sysmiss
9097
What quantity of this pesticide/herbicide did you use? (Quantity)
76
9097
1
2500
What quantity of this pesticide/herbicide did you use? (Unit)
76
9097
1
4
1
KG
2
2
LITRE
26
3
MILLILITRE
47
4
OTHER (SPECIFY)
1
Sysmiss
9097
What was the total value of this pesticides/ herbicides purchased?
76
9097
500
200000
Why did you choose to use this specific type of pesticide/herbicide?
76
9097
1
5
1
ADVICE BY AGRICULTURAL OFFICER
16
2
RECEIVED VOUCHER
3
3
OWN EXPERIENCE
43
4
NEIGHBOUR ADVICE
12
5
OTHER (SPECIFY)
2
Sysmiss
9097
Where did you buy most of the pesticides/ herbicides? (NR ID #1)
80
0
N01
36
N02
23
N03
17
N04
1
N99
3
Where did you buy most of the pesticides/ herbicides? (NR ID #2)
0
0
Did you receive any seeds, fertilizers, pesticides or herbicides for [PLOT] on c
1687
7486
1
2
1
YES
7
2
NO
1680
Sysmiss
7486
What were the types of input you received on credit? (#1)
7
9166
1
4
1
SEEDS
3
2
ORGANIC FERTILIZER
0
3
INORGANIC FERTILIZER
0
4
PESTICIDES/HERBICIDES
4
Sysmiss
9166
What were the types of input you received on credit? (#2)
0
9173
1
SEEDS
0
2
ORGANIC FERTILIZER
0
3
INORGANIC FERTILIZER
0
4
PESTICIDES/HERBICIDES
0
Sysmiss
9173
What were the types of input you received on credit? (#3)
0
9173
1
SEEDS
0
2
ORGANIC FERTILIZER
0
3
INORGANIC FERTILIZER
0
4
PESTICIDES/HERBICIDES
0
Sysmiss
9173
What were the types of input you received on credit? (#4)
0
9173
1
SEEDS
0
2
ORGANIC FERTILIZER
0
3
INORGANIC FERTILIZER
0
4
PESTICIDES/HERBICIDES
0
Sysmiss
9173
How much did you pay up front for these inputs?
7
9166
0
0
0
7
Sysmiss
9166
How much did you repay in cash later on for the inputs?
7
9166
2000
24000
How much did you repay in kind later on for the inputs? (Quantity)
7
9166
0
0
0
7
Sysmiss
9166
How much did you repay in kind later on for the inputs? (Code)
7
9166
3
3
1
THIS CROP (KGs)
0
2
LABOR (DAYS)
0
3
OTHER (SPECIFY)
7
Sysmiss
9166
From whom did you receive these inputs on credit? (NR ID #1)
7
0
N01
1
N02
3
N03
3
From whom did you receive these inputs on credit? (NR ID #2)
0
0
How many days did [NAME] spend on (Land preparation and planting) (ID #1)
1440
7733
1
7
1
1277
2
148
3
7
4
5
6
2
7
1
Sysmiss
7733
How many days did [NAME] spend on (Land preparation and planting) (ID #1 Days)
1440
7733
0
98
How many days did [NAME] spend on (Land preparation and planting) (ID #2)
1173
8000
1
12
1
4
2
984
3
94
4
55
5
17
6
8
7
3
8
2
9
3
11
1
12
2
Sysmiss
8000
How many days did [NAME] spend on (Land preparation and planting) (ID #2 Days)
1173
8000
0
98
How many days did [NAME] spend on (Land preparation and planting) (ID #3)
659
8514
1
11
1
4
2
3
3
450
4
101
5
58
6
18
7
8
8
4
9
6
10
6
11
1
Sysmiss
8514
How many days did [NAME] spend on (Land preparation and planting) (ID #3 Days)
659
8514
0
90
How many days did [NAME] spend on (Land preparation and planting) (ID #4)
441
8732
2
12
2
3
3
3
4
280
5
69
6
44
7
13
8
11
9
7
10
6
11
2
12
3
Sysmiss
8732
How many days did [NAME] spend on (Land preparation and planting) (ID #4 Days)
440
8733
0
78
How many days did [NAME] spend on (Land preparation and planting) (ID #5)
229
8944
1
13
1
1
2
2
3
3
5
126
6
38
7
23
8
21
9
6
10
4
11
2
12
1
13
2
Sysmiss
8944
How many days did [NAME] spend on (Land preparation and planting) (ID #5 Days)
229
8944
0
78
How many days did [NAME] spend on (Land preparation and planting) (ID #6)
80
9093
6
16
6
41
7
17
8
5
9
2
11
3
12
2
13
5
14
4
16
1
Sysmiss
9093
How many days did [NAME] spend on (Land preparation and planting) (ID #6 Days)
80
9093
0
78
How many days did [NAME] spend on (Weeding) (ID #1)
1526
7647
1
7
1
1334
2
182
3
6
4
1
6
2
7
1
Sysmiss
7647
How many days did [NAME] spend on (Weeding) (ID #1 Days)
1526
7647
0
90
How many days did [NAME] spend on (Weeding) (ID #2)
1248
7925
1
9
1
7
2
1060
3
106
4
44
5
12
6
8
7
6
8
2
9
3
Sysmiss
7925
How many days did [NAME] spend on (Weeding) (ID #2 Days)
1248
7925
0
98
How many days did [NAME] spend on (Weeding) (ID #3)
720
8453
1
10
1
1
2
5
3
490
4
124
5
51
6
20
7
12
8
7
9
3
10
7
Sysmiss
8453
How many days did [NAME] spend on (Weeding) (ID #3 Days)
720
8453
0
75
How many days did [NAME] spend on (Weeding) (ID #4)
482
8691
3
12
3
5
4
292
5
80
6
46
7
20
8
17
9
10
10
6
11
2
12
4
Sysmiss
8691
How many days did [NAME] spend on (Weeding) (ID #4 Days)
482
8691
0
75
How many days did [NAME] spend on (Weeding) (ID #5)
258
8915
1
14
1
2
4
3
5
147
6
46
7
24
8
16
9
6
10
5
11
2
12
4
13
2
14
1
Sysmiss
8915
How many days did [NAME] spend on (Weeding) (ID #5 Days)
258
8915
0
60
How many days did [NAME] spend on (Weeding) (ID #6)
100
9073
4
16
4
1
5
1
6
50
7
19
8
10
9
4
10
1
11
3
12
1
13
5
14
4
16
1
Sysmiss
9073
How many days did [NAME] spend on (Weeding) (ID #6 Days)
100
9073
0
60
How many days did [NAME] spend on (Ridging, Fertilizing) (ID #1)
851
8322
1
6
1
739
2
92
3
6
4
4
5
5
6
5
Sysmiss
8322
How many days did [NAME] spend on (Ridging, Fertilizing) (ID #1 Days)
849
8324
0
45
How many days did [NAME] spend on (Ridging, Fertilizing) (ID #2)
441
8732
1
12
1
1
2
364
3
32
4
21
5
6
6
7
7
2
8
3
9
3
12
2
Sysmiss
8732
How many days did [NAME] spend on (Ridging, Fertilizing) (ID #2 Days)
441
8732
0
45
How many days did [NAME] spend on (Ridging, Fertilizing) (ID #3)
229
8944
3
9
3
139
4
44
5
22
6
7
7
6
8
3
9
8
Sysmiss
8944
How many days did [NAME] spend on (Ridging, Fertilizing) (ID #3 Days)
229
8944
0
45
How many days did [NAME] spend on (Ridging, Fertilizing) (ID #4)
127
9046
2
12
2
1
3
3
4
74
5
25
6
10
7
3
8
6
9
1
10
2
12
2
Sysmiss
9046
How many days did [NAME] spend on (Ridging, Fertilizing) (ID #4 Days)
126
9047
0
45
How many days did [NAME] spend on (Ridging, Fertilizing) (ID #5)
67
9106
5
13
5
33
6
10
7
12
8
6
9
2
10
2
13
2
Sysmiss
9106
How many days did [NAME] spend on (Ridging, Fertilizing) (ID #5 Days)
67
9106
0
45
How many days did [NAME] spend on (Ridging, Fertilizing) (ID #6)
30
9143
6
14
6
18
7
4
9
2
11
2
12
1
13
1
14
2
Sysmiss
9143
How many days did [NAME] spend on (Ridging, Fertilizing) (ID #6 Days)
30
9143
0
45
How many days did [NAME] spend on (Harvesting) (ID #1)
1430
7743
1
10
1
1216
2
191
3
14
4
4
5
2
6
2
10
1
Sysmiss
7743
How many days did [NAME] spend on (Harvesting) (ID #1 Days)
1430
7743
0
90
How many days did [NAME] spend on (Harvesting) (ID #2)
1133
8040
1
11
1
2
2
934
3
109
4
49
5
18
6
12
7
5
8
3
11
1
Sysmiss
8040
How many days did [NAME] spend on (Harvesting) (ID #2 Days)
1133
8040
0
98
How many days did [NAME] spend on (Harvesting) (ID #3)
659
8514
1
12
1
1
2
7
3
413
4
125
5
49
6
31
7
11
8
9
9
3
10
8
12
2
Sysmiss
8514
How many days did [NAME] spend on (Harvesting) (ID #3 Days)
659
8514
0
90
How many days did [NAME] spend on (Harvesting) (ID #4)
431
8742
1
12
1
1
3
6
4
251
5
89
6
30
7
22
8
9
9
9
10
7
11
4
12
3
Sysmiss
8742
How many days did [NAME] spend on (Harvesting) (ID #4 Days)
431
8742
0
90
How many days did [NAME] spend on (Harvesting) (ID #5)
241
8932
3
14
3
1
4
4
5
139
6
49
7
15
8
20
9
1
10
6
11
2
12
2
14
2
Sysmiss
8932
How many days did [NAME] spend on (Harvesting) (ID #5 Days)
241
8932
0
90
How many days did [NAME] spend on (Harvesting) (ID #6)
85
9088
5
16
5
3
6
38
7
23
8
6
9
6
11
3
13
3
14
2
16
1
Sysmiss
9088
How many days did [NAME] spend on (Harvesting) (ID #6 Days)
85
9088
0
90
Typical number of hours per day worked by an individual on this plot (Land Prepa
1433
7740
0
12
0
94
1
22
2
54
3
123
4
241
5
230
6
353
7
107
8
115
9
51
10
37
11
3
12
3
Sysmiss
7740
Typical number of hours per day worked by an individual on this plot (Weeding)
1523
7650
0
12
0
62
1
23
2
76
3
125
4
251
5
230
6
385
7
118
8
144
9
50
10
51
11
4
12
4
Sysmiss
7650
Typical number of hours per day worked by an individual on this plot (Ridging, F
822
8351
0
12
0
305
1
94
2
123
3
72
4
83
5
47
6
65
7
8
8
16
9
5
10
3
12
1
Sysmiss
8351
Typical number of hours per day worked by an individual on this plot (Harvesting
1428
7745
0
12
0
116
1
165
2
148
3
151
4
199
5
174
6
244
7
53
8
106
9
30
10
31
11
4
12
7
Sysmiss
7745
Did you hire any labor to work on this plot in the long rainy seaon 2012?
1686
7487
1
2
1
YES
420
2
NO
1266
Sysmiss
7487
- Land preparation and planting (Women Days)
420
8753
0
60
- Land preparation and planting (Men Days)
420
8753
0
98
- Land preparation and planting (Child Days)
420
8753
0
21
- Land preparation and planting (Total Wage Paid (TSH))
420
8753
0
1300000
- Weeding (Women Days)
420
8753
0
72
- Weeding (Men Days)
420
8753
0
95
- Weeding (Children Days)
420
8753
0
4
0
414
2
4
3
1
4
1
Sysmiss
8753
- Weeding TOTAL
420
8753
0
720000
- Ridging, fertilizing, other non-harvest activities (Women Days)
419
8754
0
21
- Ridging, fertilizing, other non-harvest activities (Men Days)
419
8754
0
35
- Ridging, fertilizing, other non-harvest activities (Child Days)
419
8754
0
56
- Ridging, fertilizing, other non-harvest activities (Total Wage Paid (TSH))
419
8754
0
200000
- Harvesting (Women Days)
420
8753
0
35
- Harvesting (Men Days)
420
8753
0
95
- Harvesting (Child Days)
420
8753
0
34
- Harvesting (Total Wage Paid (TSH))
420
8753
0
400000
ENUMERATOR: DID YOU ALREADY LIST THIS PLOT ABOVE IN 3A?
7468
1705
1
2
1
YES
7435
2
NO
33
Sysmiss
1705
WHAT WAS THE LAST COMPLETED SHORT RAINY SEASON?
25
9148
1
2
1
2011
5
2
2012
20
Sysmiss
9148
Why did you not have this plot (own or cultivate) during the long rainy season 2
6
9167
3
6
1
SOLD IT
0
2
ABANDONED
0
3
TAKEN
1
4
REDISTRIBUTED BY VILLAGE
0
5
GIVEN AWAY
2
6
STOPPED RENTING / SHARECROPPING
3
Sysmiss
9167
How did you acquire this plot for the short rainy season 2012?
19
9154
1
7
1
BOUGHT IT
2
2
INHERITED
2
3
STARTED RENTING / SHARECROPPING
7
4
CLEARED IT
1
5
DISTRIBUTED BY VILLAGE
0
6
OCCUPIED
4
7
3
Sysmiss
9154
Did you or anyone in this household own or cultivate any plots in the long rainy
7491
1682
1
2
1
YES
7459
2
NO
32
Sysmiss
1682
Case Section Roster / Line Occurrence Sequence for O/S Merge
10183
0
1
15
1
5010
2
2114
3
1334
4
789
5
418
6
237
7
131
8
74
9
41
10
18
11
7
12
4
13
3
14
2
15
1
Unique Household Identification NPS Y3
10183
0
PLOT CODE
7934
0
M1
4207
M2
2160
M3
945
M4
387
M5
137
M6
56
M7
23
M8
11
M9
8
CROP CODE
7934
2249
11
998
11
MAIZE
3079
12
PADDY
805
13
SORGHUM
324
14
BULRUSH MILLET
75
15
FINGER MILLET
27
16
WHEAT
24
17
BARLEY
0
18
BLACK PEPPER
0
19
SEAWEED
8
21
CASSAVA
36
22
SWEET POTATOES
364
23
IRISH POTATOES
66
24
YAMS
28
25
COCOYAMS
122
26
ONIONS
16
27
GINGER
0
31
BEANS
871
32
COWPEAS
244
33
GREEN GRAM
85
34
PIGEON PEA
276
35
CHICK PEAS
29
36
BAMBARA NUTS
71
37
FIELD PEAS
9
38
MALAY APPLE
0
39
STAR FRUIT
0
41
SUNFLOWER
246
42
SESAME
114
43
GROUNDNUT
472
44
PALM OIL
0
45
COCONUT
0
46
CASHEW NUT
0
47
SOYABEANS
12
48
CASTER SEED
0
50
COTTON
204
51
TOBACCO
62
52
PYRETHRUM
19
53
SISAL
0
54
COFFEE
1
55
TEA
0
56
COCOA
0
57
RUBBER
0
58
WATTLE
0
59
KAPOK
0
60
SUGAR CANE
0
61
CARDAMOM
0
62
JUTE
0
63
TAMARIND
0
64
CINNAMON
0
65
NUTMEG
0
66
CLOVE
0
67
BREAD FRUIT
0
68
POMELO
0
69
JACK FRUIT
0
70
PASSION FRUIT
0
71
BANANA
0
72
AVOCADO
0
73
MANGO
0
74
PAPAW
0
75
PINEAPPLE
0
76
ORANGE
0
77
GRAPEFRUIT
0
78
GRAPES
0
79
MANDARIN
0
80
GUAVA
0
81
PLUMS
0
82
APPLES
0
83
PEARS
0
84
PEACHES
0
86
CABBAGE
7
87
TOMATOES
45
88
SPINACH
10
89
CARROT
3
90
CHILIES
2
91
AMARANTHS
22
92
PUMPKINS
56
93
CUCUMBER
9
94
EGG PLANT
8
95
WATER MELLON
5
96
CAULIFLOWER
0
97
DURIAN
0
98
BILIMBI
5
99
RAMBUTAN
0
100
OKRA
14
101
FIWI
22
200
CUSTARD APPLE
0
201
GOD FRUIT
0
202
MITOBO
0
203
PLUM
0
204
PEACHES
0
205
POMEGRANATE
0
210
DATE
0
211
TUNGAMAA
0
212
VANILLA
0
300
GREEN TOMATO
0
301
MONKEYBREAD
0
302
BAMBOO
0
303
FIREWOOD/FODDER
0
304
TIMBER
0
305
MEDICINAL PLANT
0
306
FENCE TREE
0
851
LIME
0
852
LEMON
0
998
OTHER (SPECIFY)
37
Sysmiss
2249
PLOT NAME
7934
0
**CONFIDENTIAL**
7934
CROP NAME
7934
0
ALIZET
1
ALIZETI
245
BAMIA
14
BILINGANYA
5
BIRINGANI
1
BOGA
21
BOMA
1
CHAINESE
1
CHAINIZI
2
CHOROKO
85
DENGU
29
FIGIRI
1
FIWI
22
HOHO
2
JUNGUMAWE
1
KABICHI
7
KAHAWA
1
KALANGA
1
KARAMATA
1
KARANA
1
KARANGA
466
KAROTI
3
KIENYEJI
1
KITUNGUU MAJI
2
KUNDE
236
KUNDE NENE
2
KUNDE ZA ASILI
1
MABILINGANYA
2
MABOGA
33
MAGIMBI
122
MAHARAGE
877
MAHINDI
3085
MAHINDI.
1
MAINDI
1
MAJANI YA BOGA
1
MAJANI YA KUNDE
1
MAJANI YA MABOGA
2
MANJANO
1
MATAMA
1
MATANGO
3
MATELA
1
MATEMBELE
11
MATIKITI
2
MATIKITI MAJI
2
MBAAZI
272
MBAAZI NDEFU
1
MCHICHA
20
MIHANDA
3
MIHOGO
16
MJUNGU MAWE
1
MKUNDE
1
MNAVU
2
MPUNGA
803
MTAMA
315
MUHOGO
19
MWANI
8
NAMANGAYA
1
NGANO
23
NGOGWE
2
NGWARA
4
NJEGERE
9
NJUGU
8
NJUGU MAWE
55
NJUGUMAWE
7
NYANYA
42
NYANYA CHUNGU
1
NYANYA MSHUMAA
1
NYANYACHUNGU
3
PAMBA
201
PARETO
18
PAROTO
1
PILIPILI
2
SELENA
1
SKUMA
1
SOYA
13
SPINACH
2
SPINACHI
5
SUKUMA
1
SUKUMA WIKI
2
SUKUMAWIKI
1
TANGO
6
TEMBELE
1
TIKITI
3
TIKITI MAJI
1
TUMBAKU
64
TUNGULE
4
UFUTA
113
ULEZI
27
UPUPU
1
UWELE
74
UYOLE
1
VIAAZI MVIRINGO
1
VIAZI
19
VIAZI MVIRINGO
52
VIAZI ULAYA
3
VIAZI VIKUU
24
VIAZI VITAMU
357
VIAZIVIKUU
1
VITUNGUU
4
VITUNGUU MAJI
10
VITUNGUU SAUMU
1
ZA ASILI
1
ZA KUTAMBAA
2
Was crop planted in entire area of plot?
7933
2250
1
2
1
YES
4495
2
NO
3438
Sysmiss
2250
Approximately, how much of the plot was planted with [CROP]?
3438
6745
1
3
1
1/4
1771
2
1/2
1204
3
3/4
463
Sysmiss
6745
Why didn't you plant the entire plot with [CROP]?
3436
6747
1
8
1
WAS DIVIDED
1866
2
DROUGHT
79
3
LACK OF TOOLS/EQUIPMENTS
682
4
LACK SEEDS
368
5
FLOODS
2
6
LOANS
4
7
AG EQUIPMENTS
126
8
OTHER, SPECIFY
309
Sysmiss
6747
Was cultivation intercropped?
7934
2249
1
2
1
YES
5069
2
NO
2865
Sysmiss
2249
What is the reason for this intercropping?
5068
5115
1
3
1
SUBSTITUTE IF EITHER CROP FAILS
209
2
MORE FERTILE FRO THE SOIL
4498
3
OTHER (SPECIFY)
361
Sysmiss
5115
What was the name of the main seed variety for this [CROP] on this plot?
7932
0
How many varieties of seed for this [CROP] were planted on this plot?
7934
2249
1
9
1
7531
2
310
3
74
4
11
5
5
9
3
Sysmiss
2249
Were the seeds...
7934
2249
1
4
1
IMPROVED
1036
2
TRADITIONAL
6027
3
IMPROVED, RECYCLED
864
4
OTHER (SPECIFY)
7
Sysmiss
2249
What type of improved seed did you purchase?
1041
9142
1
2
1
CERTIFIED
963
2
QUALITY DECLARED
78
Sysmiss
9142
What was the total amount of seeds used? (Quantity)
7934
2249
0
18000
What was the total amount of seeds used? (Unit)
7932
2251
1
5
1
KG
7092
2
20 LITER BUCKET
107
3
SMALL CUP
223
4
LARGE CUP
166
5
OTHER (SPECIFY)
344
Sysmiss
2251
Did you receive a voucher/ certificate for any of this [SEEDS]?
7934
2249
1
2
1
YES
92
2
NO
7842
Sysmiss
2249
What was the total amount paid for seeds?
7930
2253
0
644000
Where did you buy most of the seeds? (NR ID #1)
7908
0
N01
1210
N02
821
N03
312
N04
112
N05
26
N06
18
N07
4
N08
2
N09
3
N10
1
N99
5399
Where did you buy most of the seeds? (NR ID #2)
198
0
N01
1
N02
3
N04
1
N05
1
N99
192
Did you use any seeds from the previous season?
7934
2249
1
2
1
YES
5513
2
NO
2421
Sysmiss
2249
What type of seed were the seeds from the previous season?
5513
4670
1
4
1
IMPROVED
131
2
TRADITIONAL
4585
3
IMPROVED RECYCLED
795
4
OTHER (SPECIFY)
2
Sysmiss
4670
What type of improved seed were the seeds from the previous season?
131
10052
1
2
1
CERTIFIED
123
2
QUALITY DECLARED
8
Sysmiss
10052
Were there any losses of crops before the harvest?
7933
2250
1
2
1
YES
2342
2
NO
5591
Sysmiss
2250
What was the cause of these losses?
2343
7840
1
6
1
BIRDS
411
2
ANIMALS
640
3
INSECTS
526
4
DISEASES
102
5
THEFT
231
6
OTHER (SPECIFY)
433
Sysmiss
7840
Did you harvest any [CROP] on this plot in the long-rainy season 2012?
7933
2250
1
2
1
YES
7470
2
NO
463
Sysmiss
2250
Why didn't you harvest any [CROP] on this plot?
463
9720
1
4
1
NOT MINE TO HARVEST
9
2
STILL IN PLOT
48
3
DESTRUCTION
153
4
OTHER (SPECIFY)
253
Sysmiss
9720
What was the area harvested in the long rainy season 2012?
7469
2714
0
125
Was area harvested less than area planted?
7464
2719
1
2
1
YES
2220
2
NO
5244
Sysmiss
2719
What was the reason it was less than the area planted?
2213
7970
1
9
1
DROUGHT
1236
2
RAINS
161
3
FIRE
11
4
INSECTS
293
5
ANIMALS
193
6
CROP THEFT
38
7
DISEASES AND COMMUNITY PROBLEMS
36
8
LACK OF CASUAL LABOR
14
9
OTHER (SPECIFY)
231
Sysmiss
7970
What was the first and last month of the harvest period? (Begin)
7470
2713
1
12
1
JANUARY
40
2
FEBRUARY
277
3
MARCH
580
4
APRIL
937
5
MAY
1486
6
JUNE
2009
7
JULY
1310
8
AUGUST
590
9
SEPTEMBER
160
10
OCTOBER
41
11
NOVEMBER
24
12
DECEMBER
16
Sysmiss
2713
What was the first and last month of the harvest period? (End)
7469
2714
0
12
0
HARVEST NOT YET COMPLETE
32
1
JANUARY
25
2
FEBRUARY
107
3
MARCH
334
4
APRIL
696
5
MAY
1170
6
JUNE
1922
7
JULY
1751
8
AUGUST
922
9
SEPTEMBER
321
10
OCTOBER
111
11
NOVEMBER
45
12
DECEMBER
33
Sysmiss
2714
Have you finished the harvest?
7470
2713
1
2
1
YES
7424
2
NO
46
Sysmiss
2713
How many more days do you expect the harvest to last?
44
10139
0
200
What fraction of the crop remains to be harvested in this period?
44
10139
0
100
What was the quantity harvested?
7469
2714
0
60000
What is the estimated value of the harvested crop?
7470
2713
0
31680000
Who in the household made the decisions concerning the use of the harvested crop
7470
2713
1
22
Who in the household made the decisions concerning the use of the harvested crop
4194
5989
1
17
1
37
2
4001
3
82
4
23
5
10
6
11
7
16
8
2
9
3
11
2
12
3
15
2
17
2
Sysmiss
5989
Case Section Roster / Line Occurrence Sequence for O/S Merge
6450
0
1
29
Unique Household Identification NPS Y3
6450
0
PLOT CODE
2225
0
M1
1240
M10
4
M2
542
M3
233
M4
96
M5
37
M6
19
M7
9
M8
10
M9
5
V1
26
V2
4
CROP CODE
2225
4225
11
998
11
MAIZE
967
12
PADDY
76
13
SORGHUM
46
14
BULRUSH MILLET
1
15
FINGER MILLET
4
16
WHEAT
0
17
BARLEY
0
18
BLACK PEPPER
0
19
SEAWEED
3
21
CASSAVA
4
22
SWEET POTATOES
129
23
IRISH POTATOES
15
24
YAMS
7
25
COCOYAMS
63
26
ONIONS
2
27
GINGER
0
31
BEANS
470
32
COWPEAS
76
33
GREEN GRAM
55
34
PIGEON PEA
22
35
CHICK PEAS
3
36
BAMBARA NUTS
5
37
FIELD PEAS
1
38
MALAY APPLE
0
39
STAR FRUIT
0
41
SUNFLOWER
18
42
SESAME
5
43
GROUNDNUT
131
44
PALM OIL
0
45
COCONUT
1
46
CASHEW NUT
0
47
SOYABEANS
1
48
CASTER SEED
0
50
COTTON
51
51
TOBACCO
6
52
PYRETHRUM
0
53
SISAL
0
54
COFFEE
0
55
TEA
0
56
COCOA
0
57
RUBBER
0
58
WATTLE
0
59
KAPOK
0
60
SUGAR CANE
0
61
CARDAMOM
0
62
JUTE
0
63
TAMARIND
0
64
CINNAMON
0
65
NUTMEG
0
66
CLOVE
0
67
BREAD FRUIT
0
68
POMELO
0
69
JACK FRUIT
0
70
PASSION FRUIT
0
71
BANANA
0
72
AVOCADO
0
73
MANGO
0
74
PAPAW
0
75
PINEAPPLE
0
76
ORANGE
0
77
GRAPEFRUIT
0
78
GRAPES
0
79
MANDARIN
0
80
GUAVA
0
81
PLUMS
0
82
APPLES
0
83
PEARS
0
84
PEACHES
0
86
CABBAGE
4
87
TOMATOES
14
88
SPINACH
3
89
CARROT
1
90
CHILIES
1
91
AMARANTHS
11
92
PUMPKINS
6
93
CUCUMBER
3
94
EGG PLANT
2
95
WATER MELLON
1
96
CAULIFLOWER
1
97
DURIAN
0
98
BILIMBI
0
99
RAMBUTAN
0
100
OKRA
6
101
FIWI
1
200
CUSTARD APPLE
0
201
GOD FRUIT
0
202
MITOBO
0
203
PLUM
0
204
PEACHES
0
205
POMEGRANATE
0
210
DATE
0
211
TUNGAMAA
0
212
VANILLA
0
300
GREEN TOMATO
0
301
MONKEYBREAD
0
302
BAMBOO
0
303
FIREWOOD/FODDER
0
304
TIMBER
0
305
MEDICINAL PLANT
0
306
FENCE TREE
0
851
LIME
0
852
LEMON
0
998
OTHER (SPECIFY)
9
Sysmiss
4225
PLOT NAME
2225
0
**CONFIDENTIAL**
2225
CROP NAME
2225
0
ALIZETI
18
BAMIA
6
BILINGANYA
1
BIRINGANI
1
BLUE CONE
1
BOGA
2
CHIROKO
1
CHOROKO
54
DENGU
3
FIWI
1
KABICHI
4
KARANGA
130
KAROTI
1
KIENYEJI
1
KUNDE
75
MABOGA
4
MAGIMBI
64
MAHARAGE
471
MAHIDI
1
MAHINDI
966
MARANDO
1
MATANGO
1
MATEMBELE
3
MBAAZI
22
MCHICHA
11
MIHOGO
2
MNAVU
1
MPUNGA
77
MTAMA
46
MUHOGO
2
MWANI
3
NDUU
2
NJEGERE
1
NJUGU
1
NJUGU MAWE
2
NJUGUMAWE
2
NYANYA
12
NYANYA MSHUMAA
1
PAMBA
51
PILIPILI
1
SIDKO
1
SOYA
1
SPINACH
1
SPINACHI
1
SUKUMA WIKI
1
TANGO
1
TEMBELE
1
TIKITI MAJI
1
TUMBAKU
6
TUNGULE
1
UFUTA
6
ULEZI
4
UWELE
1
VIAZI
5
VIAZI MVIRINGO
12
VIAZI VIKUU
7
VIAZI VITAMU
125
VITANGO
1
VITUNGUU
2
Was crop planted in entire area of plot?
2225
4225
1
2
1
YES
1280
2
NO
945
Sysmiss
4225
Approximately, how much of the plot was planted with [CROP]?
945
5505
1
3
1
1/4
469
2
1/2
358
3
3/4
118
Sysmiss
5505
Why didn't you plant the entire plot with [CROP]?
945
5505
1
8
1
WAS DIVIDED
440
2
DROUGHT
47
3
LACK OF TOOLS/EQUIPMENTS
184
4
LACK SEEDS
155
5
FLOODS
0
6
LOANS
0
7
AG EQUIPMENTS
20
8
OTHER, SPECIFY
99
Sysmiss
5505
Was cultivation intercropped?
2225
4225
1
2
1
YES
1701
2
NO
524
Sysmiss
4225
What is the reason for this intercropping?
1701
4749
1
3
1
SUBSTITUTE IF EITHER CROP FAILS
15
2
MORE FERTILE FRO THE SOIL
1504
3
OTHER (SPECIFY)
182
Sysmiss
4749
What was the name of the main seed variety for this [CROP] on this plot?
2225
0
614
2
ALIANCE
2
ALIZETI
9
ALIZETI YA KAWAIDA
1
AMABONDO
2
AMAKWARA
2
AMASEGA
1
AMASHEKA
1
AMATEKE
1
AMAVONDORO
1
AMPLIFAYA
2
ANATOMA
2
ANJELA
1
ASILI
36
BAKULULANI
1
BAKURULANA
1
BAKURURANA
2
BALOZI
2
BAMIA
1
BCAN SUPER
1
BIKWALA
5
BIKWARA
4
BILINGANYA
1
BIRINGANI
1
BISOYA
2
BITAKULI
1
BLUE CONE
1
BOMBEY
1
BORA
5
BUCHOLI
1
BUGANDE
1
BUHEMBA
1
BUKOBA
1
BULUNGWA
1
BUNANI
2
BURUNDI
1
BURUNGWA
1
BURURU
1
BURUSHU
1
BUTUNDU
1
BWASI
1
CANADA
1
CHAGA
1
CHAKUPONZA
2
CHAMALE
1
CHANANA
1
CHICHARO
1
CHILELA
1
CHILILE
2
CHOROKO
19
CHUMBA NOLOZA
1
CROFENICAL
1
DACHI
1
DACK
1
DAGI
1
DAKAWA
1
DAKI
8
DAMU YA MZEE
2
DENGU
2
DK
3
DK 8031
4
DK8031
1
DK8053
2
DUNDUGALA
1
EBINYOBWA
1
EBISOYA
2
EBIYOBWA
2
EGITA
1
ENKOLE
1
EVIRAZI
1
FAMU
1
FARM
3
FATA NYAYO
1
FIRE
1
FIRE UGANDA
1
FIWI
1
FUPI
3
GALAMATA
2
GARAMATA
1
GERETI
1
GITENGULE
1
GODONGO
1
HARIDI
1
HAYANA JINA
1
HIGH BREAD
2
HIGHBREAD
1
HIGHBREED
1
HYBEBI
1
HYBRID
23
HYBRIDE
4
HYBRIDGE
3
IBEYENGE
1
IBIGOOLI
1
IBIJUMU
1
IBIKWARA
3
IGITA
1
ILAMATA
1
IRINGA
1
IVIREMBEKWA
1
IVIYERA
1
JANDANI
3
JAPAN
2
JAPANI
3
JINAHAHA
1
JOHN
2
KABICHI
1
KABICHI HYBEED
1
KABRANKETI
1
KABRANUETI
1
KABUKU
1
KAEMPU
1
KAEPU
1
KAGILI
6
KAGOLE
1
KAGRIL
1
KAHEMP
1
KAINJA
1
KAKIZIBA
1
KALAMATA
1
KALIMANYANGOLE
3
KANADA
1
KANADIAN
2
KANYAMBOKAZI
2
KAPTULA
1
KARAMATA
5
KARANGA
15
KARANGA NYEKUNDU
1
KARANGA NYEUPE
1
KAROTI
1
KARUKU
1
KASAPULI
1
KASOGASOGA
1
KASPENA
1
KASPINO
2
KASUKALI
1
KASUKARI
1
KATALINA
1
KATANI
1
KATENGULA
1
KATOMI
1
KATREEN
1
KATUKU
1
KATUKU MALIYAHINDA
1
KATUMAINI
9
KATUMAN
1
KATUMANI
16
KATUMBILI
16
KATUMBIRI
3
KAYANGA
1
KAYEMPU
2
KAYEPU
1
KAZUGU
1
KELEDI
1
KHATUMAINI
2
KIAKARAGWE
5
KIBEMBEKWA
2
KIBODEKO
5
KIBOKO
2
KIDAKI
1
KIDINYA
9
KIENYEJI
498
KIGOMA YELLOW
1
KIGONDO
1
KIGRIL
1
KIHA
1
KIHUSA
2
KIJIVU
2
KIJUNGU
1
KIKARAGWE
1
KIKONDO
1
KIKONG'OLO
1
KIKUYU
1
KIKWARA
1
KILAHE
1
KILEMBEGWA
1
KILIMA
29
KILIMO
1
KILIMOMKUNGU
1
KILIONA
4
KILOMBELO
1
KILOMBERO
3
KIMEKULE
1
KINDINYA
1
KINGUU
1
KINYOBWA
1
KIPOA
1
KIRIMA
1
KIROBA
1
KISASA
6
KISUKUMA
1
KITALE
12
KITENGE
7
KITENGIRE
1
KITO
8
KITONDORO
2
KITUKU
2
KIVANDULE
1
KIZIGUA
1
KOLOLOMWE
1
KOLOPINGI
1
KOMBA
1
KONYO
1
KOROMBWE
4
KUBWA
3
KUNDE
23
KUNDE ZA ASILI
1
KUNG'WANDEGE
1
KWAZU
1
KYAKALAGWE
2
KYAKARAGWE
5
KYELA
1
LESHUU
1
LIMBE
1
LISBON
2
LOYA
1
LUBUNA
1
LUGATA
1
LUGUMBA
1
LUKOCHOKA
1
LUKULULANA
1
LUONDELA
1
LUSHARA
5
LUSHESHEKA
1
LUTONDELA
1
LUTUKU
2
LUWONDELA
1
LWEA
1
LYOCHI
1
MABOGA
1
MACHALE
1
MACHINA
1
MADUMA
1
MAENDELEO
1
MAFUPI
1
MAGIMBI
10
MAGIMBI (SOWO)
1
MAGIMBI MAJI
1
MAGUTA ABABILE
1
MAHALIA
1
MAHARAGE
6
MAHARAGE MEKUNDU
2
MAHARAGE MEUPE
2
MAHARAGE MEUSI
1
MAHARAGE YA NJANO
1
MAHINDI
18
MAHINDI YA KIENYEJI
2
MAHINDI-MAREFU
3
MAHOLE
3
MAKILIMA
1
MAKULIA
1
MAKULYA
1
MALAMATA
1
MALAWI
3
MALI ILAJEJETA
1
MALILAHINDA
2
MALIWAINDA
4
MALIWINDA
2
MALIYAINDA
1
MALUGUMBA
1
MAMALAMATA
1
MAMIZI
1
MAMLAKA
2
MANINGAGAMPELA
1
MANJANO
6
MANYEMA
4
MANYULANE
1
MARAMATA
1
MARANDO
5
MARIA
2
MARIAMU
1
MARUBUMBA
1
MARUGANJE
1
MARUGUMBA
1
MASASI
3
MASEGA
2
MASINIA
2
MATANGO YA KAWAIDA
1
MATEKE
2
MATEKESI
1
MATEMBELE
3
MATOJO
1
MATOJU
1
MAUNANE
1
MAYAI
1
MAYAI NDEGE
1
MAYUNI
1
MAZORI
1
MBAAZI
3
MBALALE
1
MBATATA
1
MBEGU FUPI
2
MBEGU KUBWA
2
MBEGU NDEFU
10
MBEGU NYEKUNDU
1
MBEGU NYEUPE
2
MBEGU YA ASILI
9
MBEGU YA KAYE
1
MBEGU ZA ASILI
12
MBEGU ZA KIENYEJI
3
MBEGU ZA MAHINDI
9
MBEGU ZA PAMBA
5
MBEYA
4
MBOGAMBOGA
1
MBOMA
2
MBONII
1
MBULAMTWE
8
MBULAMUTWE
2
MBUNDI
3
MCHAGA
1
MCHANANA
1
MCHANGANYIKO
12
MCHANGANYO
1
MCHICHA
4
MCHICHA MKUBWA
1
MCHOLI
1
MEKUNDU
19
MELAKAKULI
1
MFALOIMA
1
MIDEGE
1
MINANDA
2
MJUNZA
1
MKIU
1
MKOMAO
1
MKOMBOZI
1
MKONOMWEEGA
1
MKULIMA
1
MKULINKHONDO
1
MLONDO
2
MNANDI
2
MNAVU
1
MOJIRE
1
MOLO
1
MORO
4
MPUNGA
2
MREMBEGWA
1
MRONDO
2
MRORO
2
MSAFIRI
1
MSAMBAA
5
MSHINGILILI
1
MSHUMAA
1
MSOLINI
1
MSUKUMA
1
MSUMBIJI
2
MTAMA
1
MTAMA MWEKUNDU
2
MTAMA MWEUPE
5
MTONDELA
1
MTONDEZA
1
MUHOGO
1
MUKUBING'ONDO
1
MUKUBINKONDO
1
MUKULINKHONDO
1
MULEMBEGWA
1
MUREMBEGWA
1
MWANA MSALABA
1
MWANA NGONI
2
MWANAGOGOGO
1
MWANAGWANYI
1
MWANAMAGALE
1
MWANAMKE MWEMA
1
MWANAWANA
1
MWANI
1
MWEKUNDU
2
MWEUPE
7
MWEZI MMOJA
2
MWORO
6
MZIGU/KATITO
1
MZIGUA
3
MZONDWA
1
NANDE
2
NDEFU
1
NDIMILENGHOBE
1
NDULU
2
NDURU
1
NDUU
2
NGADEKO
1
NGOSHA
1
NJANO
81
NJINILO
1
NJUGU
1
NJUNZA
1
NKIMAATINASIRI
1
NTEGERA AKATEBO
1
NUMBU
3
NYAKAPONGO
1
NYANDE
12
NYANDE SIDIC
1
NYANGE
3
NYANYA
2
NYASA
1
NYAWIGITA
1
NYAYO
2
NYEKUNDU
22
NYEUPE
11
NYEUSI
1
NYUZI NDEFU
1
NZIGE
4
OGORA
1
OMONANDA
2
ONEX
1
PAMBA
28
PANA
20
PANA 21
1
PANAMA
8
PANNA
7
PANNAL
2
PANNAR
16
PANNER
1
PASINIA
1
PILIPILI MBUZI
1
POLESITA
2
POLESTA
1
POLISTA
4
POLISTER
2
POLYSTA
1
POLYSTER
7
PORESTA
1
PORISTA
2
POSTER
1
PUNDA
1
PUNDA MILIA
1
PUNDAMILIA
1
PWANI
1
RANGI MOJA
9
RANGI YA PUNDA
4
RANGIMBILI
1
RANGIMOJA
1
ROSE
2
ROSE COCO
1
ROSE KOKO
4
ROSEKOKO
27
ROYA
1
ROZI KOKO
3
ROZICOCO
1
ROZIKOKO
3
RUKURURUNA
2
RUMALA
1
RUMARA
1
RUONDELA
2
RUSHALA
1
RUSHARA
3
RUSHESHEKA
1
RUSIA
2
RUTUKU
3
RWAMABILA
1
RWEMELEZO
1
SAANI
1
SALO
1
SAMBARAU
1
SARO
8
SARO FIVE
1
SEDICO
1
SEED CO.
1
SEED-CO
1
SEEDCO
91
SEEDCO 403
1
SEEDCO DUMA
1
SEEDCO SIMBA
1
SEEDICO
7
SEEDICO 508
1
SELE
1
SELENA
1
SEMBE
8
SERENA
2
SHARA
1
SHELEKA
1
SHELI
1
SHEREKA
2
SHINA
1
SHINYANGA
1
SHIPILAPILA
1
SHITUKA
3
SHONA
1
SHTUKA
1
SHUSHA MAJI
1
SIDICCO
2
SIDICO
23
SIDICO/NYANDE
1
SIDIKO
28
SIDKO
2
SIJE(MAGANDA MEKUNDU
1
SIKU 40
1
SIMAMA
1
SIMBA
3
SINAKUNI
1
SINGILUMWALAI
2
SITUKA
10
SOKO
1
SONGEA
1
SOWE
1
SOYA
24
SOYA BEAN
1
SOYA MKOSASURA
1
SPENA
1
SPINACH
1
SPINO
1
SPINOSAS
1
SPINOSUM
1
STAA
1
STAHA
1
STAR
23
STIKA
1
STUCA
1
STUKA
24
STURA
1
SUGUTE
1
SUGUTI
1
SUKUMA WIKI
1
SUPA SARO
1
SUPASARO
1
SUPER
12
SUPER BCAN
1
SUPER LISHE
2
SUPER URAMBO
1
SUSAMAZI
1
TALA
1
TAN 250
1
TANSEED
1
TANYA
1
TATATA
1
TENGERU
3
TONGOGOSO
1
TONIC
1
TULIANI
1
TUMAINI
2
TUMBILI
12
TUMBIRI
2
TUNGULE NDOGO
1
UFUTA
3
UFUTA WA ASILI
1
UKIRIGURU
1
ULEZI
3
ULUBHINGA
2
UMANO
1
UMEME
3
UREMBEGWA
2
URUNGWA
1
UWELE
1
VIAZI
1
VIAZI VEKUNDU
1
VIAZI VITAMU
5
VIAZI VYEKUNDU
1
VICHOLI
1
VIGUNZI VYEKUNDU
1
VIHUNZI VYEKUNDU
1
VIOVA
1
VITANGO
1
VITENGE
3
VIUMBU
1
VYEKUNDU
1
VYEUPE
2
WA KISASA
1
WAHIWAHI
4
WAME
1
WANAMAHENE
1
WASABATO
1
WEGITA
2
WERIGITA
1
WIGITA
1
YA ASILI
5
YA KIENYEJI
19
YA KIJIVU
1
YA NJANO
4
YAKISIRI
1
YAKISUKUMA
2
YANGA
4
YASIRI
1
YELLO
1
ZA ASILI
28
ZA KIENYEJI
5
ZA KISASA
2
ZA KIZUNGU
1
ZINZIGE
1
How many varieties of seed for this [CROP] were planted on this plot?
2225
4225
1
9
1
2046
2
128
3
37
4
7
5
1
6
4
9
2
Sysmiss
4225
Were the seeds...
2225
4225
1
4
1
IMPROVED
329
2
TRADITIONAL
1731
3
IMPROVED, RECYCLED
163
4
OTHER (SPECIFY)
2
Sysmiss
4225
What type of improved seed did you purchase?
331
6119
1
2
1
CERTIFIED
321
2
QUALITY DECLARED
10
Sysmiss
6119
What was the total amount of seeds used? (Quantity)
2223
4227
0.01
1800
What was the total amount of seeds used? (Unit)
2223
4227
1
5
1
KG
2057
2
20 LITER BUCKET
15
3
SMALL CUP
29
4
LARGE CUP
12
5
OTHER (SPECIFY)
110
Sysmiss
4227
Did you receive a voucher/ certificate for any of this [SEEDS]?
2219
4231
1
2
1
YES
12
2
NO
2207
Sysmiss
4231
What was the total amount paid for seeds?
2223
4227
0
440000
Where did you buy most of the seeds? (NR ID #1)
2218
0
N01
467
N02
265
N03
117
N04
42
N05
16
N06
3
N07
2
N08
1
N99
1305
Where did you buy most of the seeds? (NR ID #2)
50
0
N99
50
Did you use any seeds from the previous season?
2223
4227
1
2
1
YES
1248
2
NO
975
Sysmiss
4227
What type of seed were the seeds from the previous season?
1248
5202
1
3
1
IMPROVED
18
2
TRADITIONAL
1108
3
IMPROVED RECYCLED
122
4
OTHER (SPECIFY)
0
Sysmiss
5202
What type of improved seed were the seeds from the previous season?
18
6432
1
1
1
CERTIFIED
18
2
QUALITY DECLARED
0
Sysmiss
6432
Were there any losses of crops before the harvest?
2223
4227
1
2
1
YES
542
2
NO
1681
Sysmiss
4227
What was the cause of these losses?
542
5908
1
6
1
BIRDS
93
2
ANIMALS
172
3
INSECTS
110
4
DISEASES
26
5
THEFT
67
6
OTHER (SPECIFY)
74
Sysmiss
5908
Did you harvest any [CROP] on this plot in the long-rainy season 2012?
2224
4226
1
2
1
YES
2016
2
NO
208
Sysmiss
4226
Why didn't you harvest any [CROP] on this plot?
208
6242
1
4
1
NOT MINE TO HARVEST
3
2
STILL IN PLOT
30
3
DESTRUCTION
68
4
OTHER (SPECIFY)
107
Sysmiss
6242
What was the area harvested in the long rainy season 2012?
2016
4434
0
80
Was area harvested less than area planted?
2016
4434
1
2
1
YES
640
2
NO
1376
Sysmiss
4434
What was the reason it was less than the area planted?
640
5810
1
9
1
DROUGHT
367
2
RAINS
58
3
FIRE
0
4
INSECTS
55
5
ANIMALS
76
6
CROP THEFT
9
7
DISEASES AND COMMUNITY PROBLEMS
17
8
LACK OF CASUAL LABOR
2
9
OTHER (SPECIFY)
56
Sysmiss
5810
What was the first and last month of the harvest period? (Begin)
2016
4434
1
12
1
JANUARY
340
2
FEBRUARY
520
3
MARCH
306
4
APRIL
187
5
MAY
144
6
JUNE
126
7
JULY
43
8
AUGUST
20
9
SEPTEMBER
15
10
OCTOBER
25
11
NOVEMBER
63
12
DECEMBER
227
Sysmiss
4434
What was the first and last month of the harvest period? (End)
2016
4434
0
12
0
HARVEST NOT YET COMPLETE
15
1
JANUARY
294
2
FEBRUARY
428
3
MARCH
409
4
APRIL
232
5
MAY
148
6
JUNE
175
7
JULY
94
8
AUGUST
44
9
SEPTEMBER
17
10
OCTOBER
17
11
NOVEMBER
36
12
DECEMBER
107
Sysmiss
4434
Have you finished the harvest?
2015
4435
1
2
1
YES
1995
2
NO
20
Sysmiss
4435
How many more days do you expect the harvest to last?
20
6430
1
200
What fraction of the crop remains to be harvested in this period?
20
6430
4
100
What was the quantity harvested?
2016
4434
0
90000
What is the estimated value of the harvested crop?
2016
4434
0
8010000
Who in the household made the decisions concerning the use of the harvested crop
2016
4434
1
6
1
1830
2
171
3
7
4
5
5
1
6
2
Sysmiss
4434
Who in the household made the decisions concerning the use of the harvested crop
1035
5415
1
9
1
21
2
987
3
11
4
2
5
7
6
4
9
3
Sysmiss
5415
Case Section Roster / Line Occurrence Sequence for O/S Merge
8422
0
1
11
1
5010
2
1888
3
951
4
380
5
120
6
41
7
17
8
9
9
3
10
2
11
1
Unique Household Identification NPS Y3
8422
0
CROP CODE
6156
2266
11
998
11
MAIZE
2039
12
PADDY
677
13
SORGHUM
285
14
BULRUSH MILLET
62
15
FINGER MILLET
25
16
WHEAT
21
17
BARLEY
0
18
BLACK PEPPER
0
19
SEAWEED
7
21
CASSAVA
33
22
SWEET POTATOES
325
23
IRISH POTATOES
50
24
YAMS
25
25
COCOYAMS
105
26
ONIONS
16
27
GINGER
0
31
BEANS
666
32
COWPEAS
226
33
GREEN GRAM
81
34
PIGEON PEA
217
35
CHICK PEAS
24
36
BAMBARA NUTS
62
37
FIELD PEAS
6
38
MALAY APPLE
0
39
STAR FRUIT
0
41
SUNFLOWER
196
42
SESAME
110
43
GROUNDNUT
430
44
PALM OIL
0
45
COCONUT
0
46
CASHEW NUT
0
47
SOYABEANS
10
48
CASTER SEED
0
50
COTTON
152
51
TOBACCO
60
52
PYRETHRUM
13
53
SISAL
0
54
COFFEE
1
55
TEA
0
56
COCOA
0
57
RUBBER
0
58
WATTLE
0
59
KAPOK
0
60
SUGAR CANE
0
61
CARDAMOM
0
62
JUTE
0
63
TAMARIND
0
64
CINNAMON
0
65
NUTMEG
0
66
CLOVE
0
67
BREAD FRUIT
0
68
POMELO
0
69
JACK FRUIT
0
70
PASSION FRUIT
0
71
BANANA
0
72
AVOCADO
0
73
MANGO
0
74
PAPAW
0
75
PINEAPPLE
0
76
ORANGE
0
77
GRAPEFRUIT
0
78
GRAPES
0
79
MANDARIN
0
80
GUAVA
0
81
PLUMS
0
82
APPLES
0
83
PEARS
0
84
PEACHES
0
86
CABBAGE
7
87
TOMATOES
43
88
SPINACH
10
89
CARROT
3
90
CHILIES
2
91
AMARANTHS
22
92
PUMPKINS
52
93
CUCUMBER
8
94
EGG PLANT
8
95
WATER MELLON
5
96
CAULIFLOWER
0
97
DURIAN
0
98
BILIMBI
5
99
RAMBUTAN
0
100
OKRA
14
101
FIWI
16
200
CUSTARD APPLE
0
201
GOD FRUIT
0
202
MITOBO
0
203
PLUM
0
204
PEACHES
0
205
POMEGRANATE
0
210
DATE
0
211
TUNGAMAA
0
212
VANILLA
0
300
GREEN TOMATO
0
301
MONKEYBREAD
0
302
BAMBOO
0
303
FIREWOOD/FODDER
0
304
TIMBER
0
305
MEDICINAL PLANT
0
306
FENCE TREE
0
851
LIME
0
852
LEMON
0
998
OTHER (SPECIFY)
37
Sysmiss
2266
CROP NAME
6154
0
ALIZETI
196
BAMIA
15
BILINGANYA
5
BIRINGANI
1
BOGA
18
CHAINESE
1
CHAINIZI
2
CHOROKO
81
DENGU
24
FIGIRI
1
FIWI
16
HOHO
2
KABECHI
1
KABICHI
6
KAHAWA
1
KARANGA
431
KAROTI
3
KITUNGUU MAJI
1
KUNDE
223
MABILINGANYA
2
MABOGA
32
MAGIMBI
104
MAHARAGE
671
MAHINDI
2036
MAHUNDI
1
MAJANI YA KUNDE
1
MAJANI YA MABOGA
4
MANJANO
1
MATANGO
4
MATEMBELE
12
MATIKITI
3
MATIKITI MAJI
2
MBAAZI
215
MCHICHA
20
MHINDI
1
MIHANDA
2
MIHOGO
16
MKUNDE
1
MNAVU
2
MPUNGA
677
MTAMA
281
MUHINDI
1
MUHOGO
16
MWANI
7
NDIZI
1
NGANO
20
NGOGWE
2
NGWARA
4
NJEGERE
6
NJUGU
5
NJUGU MAWE
48
NJUGU YA MAWE
1
NJUGUMAWE
8
NJUU MAWE
1
NYANYA
39
NYANYA CHUNGU
1
NYANYA MSHUMAA
1
NYANYACHUNGU
2
NYUMBANI
1
PAMBA
150
PARETO
13
PILIPILI
2
SKUMA
1
SOYA
10
SPINACH
3
SPINACHI
4
SUKUMA
1
SUKUMA WIKI
2
SUKUMAWIKI
1
TANGO
4
TIKITI
3
TUMBAKU
61
TUNGULE
4
UFUTA
108
ULEZI
26
UNGA WA MAHINDI
1
UPUPU
1
UWELE
63
VIAZI
22
VIAZI MVIRINGO
40
VIAZI ULAYA
1
VIAZI VIKUU
24
VIAZI VITAM
1
VIAZI VITAMU
311
VITUNGUU
7
VITUNGUU MAJI
9
VITUNGUU SAUMU
1
Did you sell any of the [CROP] produced in the long rainy season 2012?
6156
2266
1
2
1
YES
2333
2
NO
3823
Sysmiss
2266
What was the quantity sold?
2333
6089
1
560000
What was the total value of the sales?
2333
6089
300
36400000
To which persons, firms or institutions did you sell most [CROP]? (NR ID #1)
2333
0
N01
700
N02
755
N03
497
N04
229
N05
102
N06
26
N07
16
N08
4
N11
1
N12
1
N99
2
What quantity of [CROP] did you sell to [customer #1]?
2331
6091
1
50000
What was the total value of these sales to [CUSTOMER #1]?
2331
6091
300
36400000
During which month did you sell most of [CROP] to [CUSTOMER #1]? (Month)
2333
6089
1
12
1
JANUARY
26
2
FEBRUARY
30
3
MARCH
26
4
APRIL
73
5
MAY
138
6
JUNE
261
7
JULY
515
8
AUGUST
601
9
SEPTEMBER
337
10
OCTOBER
168
11
NOVEMBER
80
12
DECEMBER
78
Sysmiss
6089
During which month did you sell most of [CROP] to [CUSTOMER #1]? (Year)
2333
6089
2010
2013
2010
3
2011
4
2012
2247
2013
79
Sysmiss
6089
Approximately how many transactions took place while selling [CROP] to [CUSTOMER
2333
6089
1
150
Who in your household is responsible for negotiating the sale of [CROP] to [CUST
2333
6089
1
7
1
2154
2
137
3
28
4
3
5
5
6
3
7
3
Sysmiss
6089
Who in your household is responsible for negotiating the sale of [CROP] to [CUST
1196
7226
1
12
1
20
2
1124
3
27
4
11
5
7
6
1
7
4
12
2
Sysmiss
7226
Who in your household decided what to do with these earnings? (HH ID #1)
2332
6090
1
7
1
2160
2
135
3
24
4
3
5
4
6
3
7
3
Sysmiss
6090
Who in your household decided what to do with these earnings? (HH ID #2)
1204
7218
0
12
0
1
1
11
2
1146
3
27
4
8
5
5
6
1
7
3
12
2
Sysmiss
7218
To which persons, firms or institutions did you sell the second largest amount o
2333
0
99
2247
N01
7
N02
17
N03
32
N04
12
N05
8
N06
5
N07
3
N08
1
N09
1
What quantity of [CROP] did you sell to [CUSTOMER #2]?
85
8337
5
5000
What was the total value of these sales to [CUSTOMER #2]?
85
8337
300
2500000
During which month did you sell most of [CROP] to [CUSTOMER #2]? (Month)
85
8337
1
12
1
JANUARY
2
2
FEBRUARY
2
3
MARCH
1
4
APRIL
2
5
MAY
3
6
JUNE
10
7
JULY
8
8
AUGUST
15
9
SEPTEMBER
10
10
OCTOBER
14
11
NOVEMBER
7
12
DECEMBER
11
Sysmiss
8337
During which month did you sell most of [CROP] to [CUSTOMER #2]? (Year)
85
8337
2011
2013
2011
1
2012
77
2013
7
Sysmiss
8337
Approximately how many transactions took place while selling [CROP] to [CUSTOMER
85
8337
1
11
1
72
2
7
3
2
4
1
6
1
10
1
11
1
Sysmiss
8337
Who in your household is responsible for negotiating the sale of [CROP] to [CUST
85
8337
1
4
1
77
2
6
3
1
4
1
Sysmiss
8337
Who in your household is responsible for negotiating the sael of [CROP] to [CUST
41
8381
2
2
2
41
Sysmiss
8381
Who in your household decided what to do with these earnings? (HH ID #1)
85
8337
1
4
1
78
2
5
3
1
4
1
Sysmiss
8337
Who in your household decided what to do with these earnings? (HH ID #2)
41
8381
2
2
2
41
Sysmiss
8381
Generally, did you transport [CROP] for sale?
2331
6091
1
2
1
YES
713
2
NO
1618
Sysmiss
6091
What is the average distance you transported [CROP] for sale?
713
7709
0
450
How many times did you transport [CROP] for sale during the long rainy season in
713
7709
1
50
Generally, how did you transport [CROP]?
713
7709
1
5
1
ON FOOT
134
2
BICYCLE
287
3
ANIMAL
110
4
CAR
115
5
OTHER (SPECIFY)
67
Sysmiss
7709
How much did you pay to transport [CROP] during the long rainy season 2012?
713
7709
0
480000
Do you have any of the harvest from the long rainy season 2012 in storage now?
6151
2271
1
2
1
YES
1183
2
NO
4968
Sysmiss
2271
How much of this harvest do you still have in storage?
1183
7239
1
40000
What is your main method of storage?
1182
7240
1
8
1
LOCALLY MADE TRADITIONAL STRUCTURE
186
2
IMPROVED LOCALLY MADE STRUCTURE
33
3
MODERN STORE
6
4
SACKS / OPEN DRUM
737
5
AIRTIGHT DRUM
40
6
UNPROTECTED PILE
11
7
CEILING
40
8
OTHER (SPECIFY)
129
Sysmiss
7240
Did you do anything to protect the stored crop?
1183
7239
1
2
1
YES
289
2
NO
894
Sysmiss
7239
What did you do?
289
8133
1
3
1
SPRAYING
219
2
SMOKING
52
3
OTHER (SPECIFY)
18
Sysmiss
8133
When you store [CROP], what is usually the main purpose of storing it?
1183
7239
1
4
1
FOOD FOR HOUSEHOLD
801
2
TO SELL AT HIGHER PRICE
54
3
SEED FOR PLANTING
313
4
OTHER (SPECIFY)
15
Sysmiss
7239
Was any portion of the production lost post-harvest to rotting, insects, rodents
6150
2272
1
2
1
YES
242
2
NO
5908
Sysmiss
2272
What was the reason for the loss?
242
8180
1
5
1
ROTTING
32
2
INSECTS
62
3
PESTS
122
4
THEFT
15
5
OTHER (SPECIFY)
11
Sysmiss
8180
Out of 10 units of [CROP], how many were lost?
242
8180
1
99
What was the value of this lost crop?
242
8180
2
500000
What was done with the residue from this crop?
6153
2269
1
8
1
CROP PRODUCES NO RESIDUE
177
2
RESIDUE WAS LEFT IN FIELD
4284
3
MULCHED
393
4
FOR GRAZING OWN ANIMALS
640
5
FOR GRAZING OTHERS' ANIMALS
206
6
FEEDING OWN ANIMALS
168
7
FOR SALE
15
8
OTHER (SPECIFY)
270
Sysmiss
2269
What was done with the residue from this crop?
84
8338
2
8
1
CROP PRODUCES NO RESIDUE
0
2
RESIDUE WAS LEFT IN FIELD
6
3
MULCHED
2
4
FOR GRAZING OWN ANIMALS
38
5
FOR GRAZING OTHERS' ANIMALS
33
6
FEEDING OWN ANIMALS
0
7
FOR SALE
1
8
OTHER (SPECIFY)
4
Sysmiss
8338
What was the quantity sold?
17
8405
0
2000
What was the total value of the sales?
17
8405
0
70000
To which persons, firms or institutions did you sell most of the residue from th
17
0
N01
3
N02
4
N03
8
N04
1
N06
1
To which persons, firms or institutions did you sell most of the residue from th
1
0
N07
1
Case Section Roster / Line Occurrence Sequence for O/S Merge
5884
0
1
10
1
5010
2
487
3
233
4
92
5
46
6
11
7
2
8
1
9
1
10
1
Unique Household Identification NPS Y3
5884
0
CROP CODE
1650
4234
11
998
11
MAIZE
629
12
PADDY
68
13
SORGHUM
37
14
BULRUSH MILLET
1
15
FINGER MILLET
4
16
WHEAT
0
17
BARLEY
0
18
BLACK PEPPER
0
19
SEAWEED
3
21
CASSAVA
4
22
SWEET POTATOES
118
23
IRISH POTATOES
10
24
YAMS
7
25
COCOYAMS
54
26
ONIONS
2
27
GINGER
0
31
BEANS
340
32
COWPEAS
69
33
GREEN GRAM
50
34
PIGEON PEA
10
35
CHICK PEAS
2
36
BAMBARA NUTS
5
37
FIELD PEAS
1
38
MALAY APPLE
0
39
STAR FRUIT
0
41
SUNFLOWER
15
42
SESAME
5
43
GROUNDNUT
111
44
PALM OIL
0
45
COCONUT
0
46
CASHEW NUT
0
47
SOYABEANS
1
48
CASTER SEED
0
50
COTTON
38
51
TOBACCO
6
52
PYRETHRUM
0
53
SISAL
0
54
COFFEE
0
55
TEA
0
56
COCOA
0
57
RUBBER
0
58
WATTLE
0
59
KAPOK
0
60
SUGAR CANE
0
61
CARDAMOM
0
62
JUTE
0
63
TAMARIND
0
64
CINNAMON
0
65
NUTMEG
0
66
CLOVE
0
67
BREAD FRUIT
0
68
POMELO
0
69
JACK FRUIT
0
70
PASSION FRUIT
0
71
BANANA
0
72
AVOCADO
0
73
MANGO
0
74
PAPAW
0
75
PINEAPPLE
0
76
ORANGE
0
77
GRAPEFRUIT
0
78
GRAPES
0
79
MANDARIN
0
80
GUAVA
0
81
PLUMS
0
82
APPLES
0
83
PEARS
0
84
PEACHES
0
86
CABBAGE
4
87
TOMATOES
14
88
SPINACH
3
89
CARROT
1
90
CHILIES
1
91
AMARANTHS
11
92
PUMPKINS
5
93
CUCUMBER
2
94
EGG PLANT
2
95
WATER MELLON
1
96
CAULIFLOWER
1
97
DURIAN
0
98
BILIMBI
0
99
RAMBUTAN
0
100
OKRA
6
101
FIWI
1
200
CUSTARD APPLE
0
201
GOD FRUIT
0
202
MITOBO
0
203
PLUM
0
204
PEACHES
0
205
POMEGRANATE
0
210
DATE
0
211
TUNGAMAA
0
212
VANILLA
0
300
GREEN TOMATO
0
301
MONKEYBREAD
0
302
BAMBOO
0
303
FIREWOOD/FODDER
0
304
TIMBER
0
305
MEDICINAL PLANT
0
306
FENCE TREE
0
851
LIME
0
852
LEMON
0
998
OTHER (SPECIFY)
8
Sysmiss
4234
CROP NAME
1650
0
ALIZETI
15
BAMIA
6
BILINGANYA
1
BIRINGANI
1
BLUE CONE
1
BOGA
2
CHOROKO
50
DENGU
2
FIWI
1
KABICHI
4
KARANGA
110
KAROTI
1
KUNDE
68
MABOGA
3
MAGIMBI
53
MAHARAGE
340
MAHINDI
628
MAHINNDI
1
MARANDO
1
MATANGO
1
MATEMBELE
4
MATIKITI MAJI
1
MBAAZI
10
MCHICHA
11
MHINDI
1
MHOGO
1
MIHOGO
1
MKUNDE
1
MNAVU
1
MPUNGA
69
MTAMA
37
MUHOGO
2
MWANI
3
NDUU
1
NDUWE
1
NJEGERE
1
NJUGU
1
NJUGU MAWE
4
NYANYA
12
NYANYA MSHUMAA
1
PAMBA
38
PILIPILI
1
SOYA
1
SPINACH
1
SPINACHI
1
SUKUMA WIKI
1
TANGO
1
TUMBAKU
6
TUNGULE
1
UFUTA
6
ULEZI
4
UWELE
1
VIAZI
2
VIAZI MVIRINGO
8
VIAZI ULAYA
1
VIAZI VIKUU
7
VIAZI VITAMU
116
VITUNGUU
2
Did you sell any of the [CROP] produced in the long rainy season 2012?
1650
4234
1
2
1
YES
495
2
NO
1155
Sysmiss
4234
What was the quantity sold?
495
5389
1
65520
What was the total value of the sales?
495
5389
450
33800000
To which persons, firms or institutions did you sell most [CROP]? (NR ID #1)
495
0
N01
133
N02
147
N03
113
N04
47
N05
29
N06
15
N07
3
N08
5
N09
3
What quantity of [CROP] did you sell to [customer #1]?
495
5389
1
65520
What was the total value of these sales to [CUSTOMER #1]?
495
5389
20
33800000
During which month did you sell most of [CROP] to [CUSTOMER #1]? (Month)
495
5389
1
12
1
JANUARY
35
2
FEBRUARY
60
3
MARCH
61
4
APRIL
64
5
MAY
45
6
JUNE
38
7
JULY
52
8
AUGUST
49
9
SEPTEMBER
24
10
OCTOBER
25
11
NOVEMBER
22
12
DECEMBER
20
Sysmiss
5389
During which month did you sell most of [CROP] to [CUSTOMER #1]? (Year)
494
5390
2010
2013
2010
1
2011
26
2012
384
2013
83
Sysmiss
5390
Approximately how many transactions took place while selling [CROP] to [CUSTOMER
495
5389
1
200
Who in your household is responsible for negotiating the sale of [CROP] to [CUST
495
5389
1
6
1
445
2
37
3
7
4
3
5
1
6
2
Sysmiss
5389
Who in your household is responsible for negotiating the sale of [CROP] to [CUST
219
5665
1
7
1
6
2
202
3
4
4
3
5
3
7
1
Sysmiss
5665
Who in your household decided what to do with these earnings? (HH ID #1)
495
5389
1
6
1
442
2
43
3
6
4
2
6
2
Sysmiss
5389
Who in your household decided what to do with these earnings? (HH ID #2)
222
5662
1
7
1
8
2
203
3
4
4
3
5
3
7
1
Sysmiss
5662
To which persons, firms or institutions did you sell the second largest amount o
495
0
99
487
N02
1
N03
1
N04
1
N05
5
What quantity of [CROP] did you sell to [CUSTOMER #2]?
8
5876
10
1215
What was the total value of these sales to [CUSTOMER #2]?
8
5876
6500
750000
During which month did you sell most of [CROP] to [CUSTOMER #2]? (Month)
8
5876
1
11
1
JANUARY
1
2
FEBRUARY
0
3
MARCH
2
4
APRIL
3
5
MAY
0
6
JUNE
0
7
JULY
0
8
AUGUST
0
9
SEPTEMBER
0
10
OCTOBER
0
11
NOVEMBER
2
12
DECEMBER
0
Sysmiss
5876
During which month did you sell most of [CROP] to [CUSTOMER #2]? (Year)
8
5876
2011
2013
2011
1
2012
2
2013
5
Sysmiss
5876
Approximately how many transactions took place while selling [CROP] to [CUSTOMER
8
5876
1
4
1
7
4
1
Sysmiss
5876
Who in your household is responsible for negotiating the sale of [CROP] to [CUST
8
5876
1
2
1
7
2
1
Sysmiss
5876
Who in your household is responsible for negotiating the sael of [CROP] to [CUST
2
5882
2
2
2
2
Sysmiss
5882
Who in your household decided what to do with these earnings? (HH ID #1)
8
5876
1
2
1
7
2
1
Sysmiss
5876
Who in your household decided what to do with these earnings? (HH ID #2)
2
5882
2
2
2
2
Sysmiss
5882
Generally, did you transport [CROP] for sale?
495
5389
1
2
1
YES
219
2
NO
276
Sysmiss
5389
What is the average distance you transported [CROP] for sale?
219
5665
0
80
How many times did you transport [CROP] for sale during the long rainy season in
219
5665
0
60
Generally, how did you transport [CROP]?
219
5665
1
5
1
ON FOOT
80
2
BICYCLE
92
3
ANIMAL
17
4
CAR
15
5
OTHER (SPECIFY)
15
Sysmiss
5665
How much did you pay to transport [CROP] during the long rainy season 2012?
219
5665
0
360000
Do you have any of the harvest from the long rainy season 2012 in storage now?
1650
4234
1
2
1
YES
172
2
NO
1478
Sysmiss
4234
How much of this harvest do you still have in storage?
172
5712
1
4770
What is your main method of storage?
172
5712
1
8
1
LOCALLY MADE TRADITIONAL STRUCTURE
29
2
IMPROVED LOCALLY MADE STRUCTURE
5
3
MODERN STORE
1
4
SACKS / OPEN DRUM
113
5
AIRTIGHT DRUM
4
6
UNPROTECTED PILE
1
7
CEILING
5
8
OTHER (SPECIFY)
14
Sysmiss
5712
Did you do anything to protect the stored crop?
172
5712
1
2
1
YES
42
2
NO
130
Sysmiss
5712
What did you do?
42
5842
1
3
1
SPRAYING
32
2
SMOKING
6
3
OTHER (SPECIFY)
4
Sysmiss
5842
When you store [CROP], what is usually the main purpose of storing it?
172
5712
1
4
1
FOOD FOR HOUSEHOLD
134
2
TO SELL AT HIGHER PRICE
8
3
SEED FOR PLANTING
29
4
OTHER (SPECIFY)
1
Sysmiss
5712
Was any portion of the production lost post-harvest to rotting, insects, rodents
1650
4234
1
2
1
YES
46
2
NO
1604
Sysmiss
4234
What was the reason for the loss?
46
5838
1
5
1
ROTTING
2
2
INSECTS
6
3
PESTS
36
4
THEFT
1
5
OTHER (SPECIFY)
1
Sysmiss
5838
Out of 10 units of [CROP], how many were lost?
46
5838
1
5
1
38
2
4
3
1
4
1
5
2
Sysmiss
5838
What was the value of this lost crop?
46
5838
1350
252000
What was done with the residue from this crop?
1650
4234
1
8
1
CROP PRODUCES NO RESIDUE
52
2
RESIDUE WAS LEFT IN FIELD
937
3
MULCHED
235
4
FOR GRAZING OWN ANIMALS
150
5
FOR GRAZING OTHERS' ANIMALS
56
6
FEEDING OWN ANIMALS
145
7
FOR SALE
6
8
OTHER (SPECIFY)
69
Sysmiss
4234
What was done with the residue from this crop?
22
5862
2
7
1
CROP PRODUCES NO RESIDUE
0
2
RESIDUE WAS LEFT IN FIELD
1
3
MULCHED
2
4
FOR GRAZING OWN ANIMALS
8
5
FOR GRAZING OTHERS' ANIMALS
8
6
FEEDING OWN ANIMALS
2
7
FOR SALE
1
8
OTHER (SPECIFY)
0
Sysmiss
5862
What was the quantity sold?
7
5877
10
1000
What was the total value of the sales?
7
5877
3000
70000
To which persons, firms or institutions did you sell most of the residue from th
7
0
N01
1
N02
3
N03
1
N04
2
To which persons, firms or institutions did you sell most of the residue from th
0
0
Case Section Roster / Line Occurrence Sequence for O/S Merge
8795
0
1
20
1
5008
2
1306
3
888
4
613
5
387
6
226
7
141
8
80
9
49
10
29
11
16
12
11
13
10
14
8
15
6
16
5
17
4
18
4
19
2
20
2
Unique Household Identification NPS Y3
8795
0
PLOT
5669
0
M1
3923
M10
3
M2
927
M3
514
M4
181
M5
73
M6
34
M7
3
M8
5
M9
1
V1
5
CROP CODE
5669
3126
21
998
11
MAIZE
0
12
PADDY
0
13
SORGHUM
0
14
BULRUSH MILLET
0
15
FINGER MILLET
0
16
WHEAT
0
17
BARLEY
0
18
BLACK PEPPER
0
19
SEAWEED
0
21
CASSAVA
3
22
SWEET POTATOES
0
23
IRISH POTATOES
0
24
YAMS
0
25
COCOYAMS
1
26
ONIONS
0
27
GINGER
0
31
BEANS
0
32
COWPEAS
0
33
GREEN GRAM
0
34
PIGEON PEA
0
35
CHICK PEAS
0
36
BAMBARA NUTS
0
37
FIELD PEAS
0
38
MALAY APPLE
1
39
STAR FRUIT
14
41
SUNFLOWER
0
42
SESAME
0
43
GROUNDNUT
0
44
PALM OIL
0
45
COCONUT
0
46
CASHEW NUT
0
47
SOYABEANS
0
48
CASTER SEED
0
50
COTTON
0
51
TOBACCO
0
52
PYRETHRUM
0
53
SISAL
0
54
COFFEE
0
55
TEA
0
56
COCOA
0
57
RUBBER
0
58
WATTLE
0
59
KAPOK
0
60
SUGAR CANE
0
61
CARDAMOM
0
62
JUTE
0
63
TAMARIND
0
64
CINNAMON
0
65
NUTMEG
0
66
CLOVE
0
67
BREAD FRUIT
7
68
POMELO
1
69
JACK FRUIT
152
70
PASSION FRUIT
86
71
BANANA
1434
72
AVOCADO
399
73
MANGO
1449
74
PAPAW
512
75
PINEAPPLE
155
76
ORANGE
458
77
GRAPEFRUIT
0
78
GRAPES
0
79
MANDARIN
88
80
GUAVA
293
81
PLUMS
19
82
APPLES
9
83
PEARS
16
84
PEACHES
35
86
CABBAGE
0
87
TOMATOES
0
88
SPINACH
0
89
CARROT
0
90
CHILIES
0
91
AMARANTHS
0
92
PUMPKINS
0
93
CUCUMBER
0
94
EGG PLANT
0
95
WATER MELLON
0
96
CAULIFLOWER
0
97
DURIAN
1
98
BILIMBI
2
99
RAMBUTAN
4
100
OKRA
0
101
FIWI
0
200
CUSTARD APPLE
103
201
GOD FRUIT
0
202
MITOBO
1
203
PLUM
24
204
PEACHES
19
205
POMEGRANATE
12
210
DATE
6
211
TUNGAMAA
0
212
VANILLA
0
300
GREEN TOMATO
0
301
MONKEYBREAD
0
302
BAMBOO
0
303
FIREWOOD/FODDER
0
304
TIMBER
0
305
MEDICINAL PLANT
0
306
FENCE TREE
0
851
LIME
61
852
LEMON
168
998
OTHER (SPECIFY)
136
Sysmiss
3126
PLEASE LIST ALL PLOTS CULTIVATED DURING THE LAST 12 MONTHS.
5669
0
APPLE
5
APPLES
2
BEFEDHULI
2
BELIN
1
BELINI
1
BONDENI
1
CHENZA
5
CHUNGWA
53
EMBE
148
EMBE NG'ONG'O
8
EMBE NG'ONGO
2
EMBE NONGO
1
FENESI
90
FOROSADI
1
FYOKS
1
HELIMU
1
KITIVO
1
KOMAMANGA
9
KUMUNYU
1
KUNGU
1
KUNGUMANGA
1
KUNGUMINGA
1
LILOYA
1
LIMAO
24
LIMAU
11
MABUNGO
1
MACHENZA
6
MACHUNGWA
57
MAEMBE
101
MAEPO
1
MAFURISI
1
MAFYOKS
3
MAFYOKSI
2
MAFYUKS
1
MAFYULISI
1
MAFYURIKS
1
MAFYURISI
2
MAGIMBI
1
MAGOGWE
3
MAILI SABA
1
MAKATAPELA
1
MALIMAO
3
MALIMAU
1
MALIMBE
1
MANANASI
16
MAPAPAI
34
MAPARACHICHI
16
MAPARAGWE
1
MAPASHENI
2
MAPASSION
1
MAPEASI
1
MAPERA
102
MAPESHENI
1
MAPESKA
1
MAPRAUNI
1
MASHELISHELI
2
MASIAWARA
1
MASONGOLE
1
MASTAFELI
12
MASTAFERI
4
MATAKAFELI
1
MATIKITI
2
MATOFAA
1
MATOPETOPE
5
MATUNDA
1
MATUNDA DAM
1
MATUNDA DAMU
11
MATUNDA JIWE
1
MBIRIMBI
1
MCHENZA
40
MCHEZA
1
MCHUNGWA
132
MDIMU
5
MEIMBE
1
MFENESI
21
MFYULISI
1
MFYURIS
1
MGOMBA
12
MICHENZA
30
MICHEZA
1
MICHUNGWA
205
MIDIMU
10
MIDIZI
1
MIDORIANI
1
MIDUMU
1
MIEMBE
524
MIEMBENI
1
MIENBE
1
MIFENES
1
MIFENESI
35
MIFURISI
1
MIFYOKS
16
MIFYOKSI
5
MIFYURIKS
1
MIFYURIS
1
MIGOMBA
1192
MIGOMBA A
1
MIGOMBA.
1
MIHUMU
1
MIKARANGA
1
MILIMANI
1
MILIMAO
23
MILIMAU
14
MILIMBO
1
MILONZO
2
MINANANASI
1
MINANASI
75
MINASI
1
MINDIMU
3
MIPAPA
1
MIPAPAI
156
MIPAPAPI
1
MIPARACHICHI
83
MIPASHENI
2
MIPEASI
2
MIPEAZI
1
MIPENSHENI
3
MIPERA
80
MIPESHENI
12
MIPINIGES
1
MISAMBIA
2
MISHELISHELI
3
MISHOKISHOKI
1
MISTAFEL
2
MISTAFELI
15
MISTAFERI
1
MISTAFLI
1
MISTAKAFELI
1
MITALALI
1
MITENDE
1
MITOBO
1
MITOGO
2
MITOPETOPE
6
MIZAITUNI
1
MIZAMBARAU
3
MIZEITUNI
1
MKABABU
3
MKARANGA
1
MKOMAMANGA
2
MKUNGU
2
MLIMAO
39
MLIMAU
50
MNANASI
7
MNDIM
1
MNDIMA
1
MNDIMU
18
MNYELE
1
MOGOMBA
1
MPALACHICHI
3
MPAPAI
157
MPARACHICHI
41
MPASHENI
2
MPEASI
1
MPENSHENI
7
MPEPA
1
MPERA
87
MPERA 1
1
MPERERA
1
MPESHENI
27
MPINIGESI
1
MPUNGA
1
MSAMBIA
1
MSANDA
1
MSITAFERI
1
MSTAFELI
11
MSTAFERI
8
MTENDE
1
MTONI 1
1
MTONI 2
1
MTOPETOPE
8
MUBUNGO
1
MUEMBE
9
MUHOGO
3
MWADILI
1
MWEMBE
616
MWEMBE NG'ONG'O
1
MZABARAU
1
MZAMBARAU
4
MZEITUNI
1
NAMKOCHO
2
NANASI
49
NANSI
1
NDIMU
20
NDIZI
201
NDOPI
1
NYUMBANI
23
NZANZA
1
PALACHICHI
4
PAPAI
150
PARACHCHI
1
PARACHICHI
250
PASHEN
1
PASHENI
4
PASION
2
PASSION
1
PEASI
11
PEINI
1
PENSHENI
7
PERA
18
PESHENI
11
PICHES
17
PICHESI
1
PINDIGESI
1
PINIGESI
2
SEWEDI
1
SHAMBA KIBEREGE
1
SHAMBA LA KIBWAYA
2
SHAMBA LA KIGEMBE
1
SHAMBA LA KILOLE MZEE
1
SHAMBA LA KIMALAMBEGU
3
SHAMBA LA KITIVO
3
SHAMBA LA KIZITO
5
SHAMBA LA LILAHUNDO
3
SHAMBA LA LUGOME
8
SHAMBA LA MAGUZO
3
SHAMBA LA MANGUYE
5
SHAMBA LA MBUGANI
1
SHAMBA LA MIEMBENI
1
SHAMBA LA MIGOMBA
1
SHAMBA LA MLIMANI
2
SHAMBA LA NAMUMBULE
1
SHAMBA LA NYUMBANI
38
SHAMBA LA SOWETO
2
SHAMBA LA TIBINO
1
SHAMBA LA TOMONDO
2
SHAMBA LA VIGODA
4
SHOKISHOKI
3
SITAFELI
1
SONGWI
1
SOROFAJI
1
STAFELI
21
STAFERI
3
STAKAFELI
4
TARALI
1
TENDE
4
TIKITI
1
TOPE TOPE
6
TOPE-TOPE
6
TOPETOPE
64
TUNDA DAMU
3
TUNDA MUNGU
1
TUNDADAMU
1
UDAWI
1
UKWAJU
2
ZAITUNI
2
ZAMBARAO
1
ZAMBARAU
16
ZEITUNI
1
How many of these plants/ trees are on this plot?
5669
3126
1
30000
In what year were most of these plants/ trees planted?
5669
3126
1900
9999
How many trees/ plants were planted during the last 12 months?
5667
3128
0
5000
Was cultivation intercropped during the past long rainy season?
5669
3126
1
2
1
YES
4952
2
NO
717
Sysmiss
3126
What was the reason for intercropping?
4944
3851
1
3
1
MORE FERTILE FOR SOIL
130
2
SUBSTITUTE IF EITHER CROP FAILS
4543
3
OTHER (SPECIFY)
271
Sysmiss
3851
What was the last completed production period for the [FRUIT]? (Begin Year)
5669
3126
1996
9999
What was the last completed production period for the [FRUIT]? (Begin Month)
5669
3126
1
99
What was the last completed production period for the [FRUIT]? (End Year)
5669
3126
2001
9999
What was the last completed production period for the [FRUIT]? (End Month)
5669
3126
1
99
Who in the household made the decisions concerning the use of [FRUIT] harvested
5658
3137
1
99
Who in the household made the decisions concerning the use of [FRUIT] harvested
2872
5923
1
99
What was the total amount of [FRUIT] harvested in the past 12 months?
5669
3126
0
30000
Were there any losses of [FRUIT] before the harvest?
5670
3125
1
2
1
YES
1443
2
NO
4227
Sysmiss
3125
What was the cause of these losses?
1443
7352
1
6
1
BIRDS
161
2
ANIMALS
167
3
INSECTS
340
4
DISEASES
101
5
THEFT
620
6
OTHER (SPECIFY)
54
Sysmiss
7352
Case Section Roster / Line Occurrence Sequence for O/S Merge
7726
0
1
17
1
5010
2
1174
3
657
4
383
5
215
6
121
7
59
8
43
9
26
10
16
11
9
12
4
13
2
14
2
15
2
16
2
17
1
Unique Household Identification NPS Y3
7726
0
PLOT
4675
0
M1
2504
M10
7
M11
1
M2
1181
M3
562
M4
221
M5
108
M6
47
M7
21
M8
11
M9
6
V1
5
V2
1
CROP CODE
4675
3051
18
998
11
MAIZE
0
12
PADDY
0
13
SORGHUM
0
14
BULRUSH MILLET
0
15
FINGER MILLET
0
16
WHEAT
0
17
BARLEY
0
18
BLACK PEPPER
11
19
SEAWEED
0
21
CASSAVA
1475
22
SWEET POTATOES
2
23
IRISH POTATOES
0
24
YAMS
7
25
COCOYAMS
20
26
ONIONS
0
27
GINGER
0
31
BEANS
0
32
COWPEAS
0
33
GREEN GRAM
0
34
PIGEON PEA
70
35
CHICK PEAS
0
36
BAMBARA NUTS
0
37
FIELD PEAS
0
38
MALAY APPLE
0
39
STAR FRUIT
0
41
SUNFLOWER
0
42
SESAME
0
43
GROUNDNUT
0
44
PALM OIL
158
45
COCONUT
411
46
CASHEW NUT
686
47
SOYABEANS
0
48
CASTER SEED
0
50
COTTON
0
51
TOBACCO
0
52
PYRETHRUM
0
53
SISAL
56
54
COFFEE
301
55
TEA
9
56
COCOA
23
57
RUBBER
1
58
WATTLE
1
59
KAPOK
5
60
SUGAR CANE
185
61
CARDAMOM
19
62
JUTE
0
63
TAMARIND
26
64
CINNAMON
22
65
NUTMEG
0
66
CLOVE
38
67
BREAD FRUIT
0
68
POMELO
0
69
JACK FRUIT
0
70
PASSION FRUIT
0
71
BANANA
1
72
AVOCADO
0
73
MANGO
0
74
PAPAW
0
75
PINEAPPLE
1
76
ORANGE
0
77
GRAPEFRUIT
0
78
GRAPES
2
79
MANDARIN
0
80
GUAVA
0
81
PLUMS
0
82
APPLES
0
83
PEARS
0
84
PEACHES
0
86
CABBAGE
0
87
TOMATOES
0
88
SPINACH
0
89
CARROT
0
90
CHILIES
0
91
AMARANTHS
0
92
PUMPKINS
0
93
CUCUMBER
0
94
EGG PLANT
0
95
WATER MELLON
0
96
CAULIFLOWER
0
97
DURIAN
1
98
BILIMBI
0
99
RAMBUTAN
0
100
OKRA
0
101
FIWI
0
200
CUSTARD APPLE
0
201
GOD FRUIT
0
202
MITOBO
0
203
PLUM
0
204
PEACHES
0
205
POMEGRANATE
0
210
DATE
0
211
TUNGAMAA
0
212
VANILLA
0
300
GREEN TOMATO
0
301
MONKEYBREAD
15
302
BAMBOO
17
303
FIREWOOD/FODDER
471
304
TIMBER
563
305
MEDICINAL PLANT
11
306
FENCE TREE
19
851
LIME
0
852
LEMON
0
998
OTHER (SPECIFY)
48
Sysmiss
3051
PLEASE LIST ALL PLOTS CULTIVATED DURING THE LAST 12 MONTHS.
4675
0
AROBOGAST
1
BARABARA YA NNE
1
BINZARI
1
BOYO(MITI YA MBAO)
1
BUMATARE
1
CALIPTUSI
1
CHAI
9
CHAKULA MIFUGO
1
CHIKICHI
34
CHIKWAYA
1
COCOA
1
COPARES
1
CRAVELIA
1
FOROSADI
1
GLAVELIA
1
GRAVELIA
5
GRAVERIA
2
GRAVILIA
4
GREVELIA
2
GREVILIA
1
GRIVELIA
1
GRIVERIA
14
HAMFRAY
1
HILIKI
11
HINA
1
ILIKI
8
JAKARANDA
1
KAHAMA
2
KAHAWA
287
KAKAO
20
KALEBELIA
1
KARAFUU
20
KARANGA MITI
1
KATANI
4
KAWILIA
3
KIAREMA
1
KINYOBWA
1
KISAMVU
1
KISAMVU MPIRA
1
KOKOA
1
KOROSHO
218
KUNI
3
KWA PAPA
1
KWEME
4
LEBANONI
1
LIBUMBU A
1
LILOYA
1
MADUMA
1
MAEKANI
1
MAGANJO
1
MAGIMBI
19
MAHONGA
1
MALIBOLIA
1
MALISHO YA MIFUGO
2
MAPARAGWE
2
MASLIDA
1
MAYUNGA
1
MBAAZI
67
MBAO
5
MBOYO
1
MBULUMATALE
2
MBULUMATALE (MBAO)
1
MBUNI
1
MBURU MATARE
1
MBUYU
9
MCEBANONI
1
MCHAI
1
MCHIKICHI
74
MDALASINI
16
MDARASINI
2
MFURUANJE
2
MFURUANJI
1
MHAMBO
1
MHOGO
46
MIALE
1
MIANZI
17
MIBOYO
1
MIBUYU
5
MICHAI
1
MICHE
1
MICHESE
2
MICHIKICHI
49
MICHONEOMA
1
MICHONGOMA
3
MICHUJAMAJI
1
MICHUNGWA
1
MIDALASINI
3
MIDORIANI
1
MIELEZI
1
MIENZEENZE
2
MIERESI
1
MIEREZI
4
MIFUGO
1
MIFURUFURU
1
MIGAMSI
1
MIGOMBA
2
MIGREVILIA
1
MIHASHOKI
1
MIHIGO
2
MIHOGO
786
MIHOGO MPIRA
1
MIHUMULA
4
MIHUNDA
1
MIJOHOLO
2
MIJOHORO
2
MIKABELA
6
MIKABERA
2
MIKABILIA
2
MIKADILIA
1
MIKAHAWA
7
MIKALATUSI
1
MIKALIBIA
1
MIKAMBOKAMBO
1
MIKARAFUU
14
MIKARATUSI
11
MIKEREBIA
1
MIKERIBEA
1
MIKOBEKO
1
MIKOKOA
1
MIKONGE
3
MIKOROSHA
1
MIKOROSHI
1
MIKOROSHO
287
MILINGOTI
6
MILUSINA
1
MINAZ
1
MINAZI
225
MINGARINGA
1
MININGA
3
MIPAINA
6
MIPEINA
1
MIPINE
2
MIPIRA
1
MIRONGE
2
MIRUKA
1
MIRUMBA
1
MISEDELEA
1
MISEDELEKA
1
MISEDEREA
5
MISEDIREA
1
MISHAI
1
MISIRA
1
MISONOBALI
2
MISONOBARI
1
MISUFI
4
MITANGA
1
MITI A KUNI
1
MITI A UZIO
1
MITI KUNUKA
1
MITI MBAO
1
MITI MBAO [MIX]
1
MITI YA MBAO
1
MITI YA ASILI
1
MITI YA DAWA
2
MITI YA KAMBA
1
MITI YA KUNI
437
MITI YA MAIDINI
1
MITI YA MBAO
324
MITI YA MIGEREVERIA
1
MITI YA MIGUNGA
2
MITI YA MIKOLA
1
MITI YA MISUNGWI
1
MITI YA MIYUGUYU
2
MITI YA MPOME
1
MITI YA UZIO
11
MITI YAKE MBAO
1
MITIKI
4
MITIKI-MBAO
1
MITIYA KUNI
1
MITIYA MBAO
2
MITUPA
1
MIVINJE
7
MIVULE
1
MIVUMO/MITI YA KUNI
1
MIWA
178
MIWATI
2
MIWATO
1
MJIMYA
1
MJOHORO
2
MKABELA
7
MKARAFUU
4
MKARANGA
1
MKARATUSI
4
MKAVILIA
1
MKERIBEA
1
MKIRISMAS
1
MKOBA
1
MKOBE
1
MKONGE
51
MKORISHO
1
MKOROSHO
161
MKUNGUGU
1
MKWAJU
7
MKWAJUNI
1
MLAINA
1
MLOVERIA
1
MLUMBAGA
1
MMANGO B
1
MMANGO C
1
MMERESI-MBAO
1
MNAPO A
1
MNAPO B
1
MNAZI
91
MNINGA
3
MNZAI
1
MOHOGO
1
MPAMBE 1
1
MPEKU
1
MPOGOLO
1
MPOTA
1
MRINGARINGA
6
MSANDUKU
1
MSEDELERA
2
MSONOBARI
1
MSUFI
1
MTANGALA
1
MTI ASILI
1
MTI WA DAWA
3
MTI WA KUNI
6
MTI WA MBAO
12
MTI WA MBWEJERE
1
MTI WA MKONZE
1
MTI YA DAWA
1
MTI YA KUNI
1
MTI YA MBAO
2
MTIKI
3
MTUMBATI
1
MUAROBAINI
2
MUHAMA
1
MUHOGO
615
MUHUMULA
1
MVULE
3
MWALE
1
MWANAKOMBO B
1
MWAROBAINI
4
MWENGE B
1
MZABIBU
1
NAMKOCHO
1
NAMUNDA
1
NANASI
1
NATOLO 1
1
NAZI
72
NDUNDASA
1
NDUNYASA
1
NKOROSHO
1
NYUMBANI
13
PAINA
7
PAINAS
1
PAINES
2
PAINI
1
PEINI
1
PILIPILI
4
PILIPILI MANGA
4
PILIPILIMANGA
2
PINE
1
PINES
1
QUAMALA
1
QUANTEMALA
1
QUATAMALA
2
QUATEMALLA
1
QUTAMALA
1
SELEGINA
1
SEREGENA
2
SHAMBA LA KIBWAYA
1
SHAMBA LA KIGEMBE
1
SHAMBA LA KIMALAMBEGU
2
SHAMBA LA KIZITO
4
SHAMBA LA KOROSHO
1
SHAMBA LA LILAHUNDO
2
SHAMBA LA LUGOME
3
SHAMBA LA MANGUYE
3
SHAMBA LA MBUGANI
1
SHAMBA LA MIBUYU
1
SHAMBA LA MIDEREGA
1
SHAMBA LA MPUNGA
1
SHAMBA LA NYUMBANI
21
SHAMBA LA SHULE
1
SHAMBA LA SOWETO
1
SHAMBA LA TOMONDO
3
SIPISO
1
SOMNDELE
2
STERIA-MAJANI YA NG'OMBE
1
UKWAJU
18
UZIO
2
VIAZI VIKUU
6
VIAZI VITAMU
2
ZABIBU
1
How many of these plants/ trees are on this plot?
4675
3051
0
240000
In what year were most of these plants/ trees planted?
4675
3051
1900
9999
How many trees/ plants were planted during the last 12 months?
4674
3052
0
50000
Was cultivation intercropped during the past long rainy season?
4675
3051
1
2
1
YES
3605
2
NO
1070
Sysmiss
3051
What was the reason for intercropping?
3604
4122
1
3
1
MORE FERTILE FOR SOIL
115
2
SUBSTITUTE IF EITHER CROP FAILS
3169
3
OTHER (SPECIFY)
320
Sysmiss
4122
What was the last completed production period for the [FRUIT]? (Begin Year)
4674
3052
2006
9999
What was the last completed production period for the [FRUIT]? (Begin Month)
4674
3052
1
99
What was the last completed production period for the [FRUIT]? (End Year)
4673
3053
2007
9999
What was the last completed production period for the [FRUIT]? (End Month)
4671
3055
1
99
Who in the household made the decisions concerning the use of [FRUIT] harvested
4673
3053
1
99
Who in the household made the decisions concerning the use of [FRUIT] harvested
1867
5859
0
99
What was the total amount of [FRUIT] harvested in the past 12 months?
4674
3052
0
150000
Were there any losses of [FRUIT] before the harvest?
4674
3052
0
2
0
1
1
YES
690
2
NO
3983
Sysmiss
3052
What was the cause of these losses?
691
7035
1
6
1
BIRDS
13
2
ANIMALS
151
3
INSECTS
86
4
DISEASES
89
5
THEFT
319
6
OTHER (SPECIFY)
33
Sysmiss
7035
Case Section Roster / Line Occurrence Sequence for O/S Merge
8015
0
1
11
1
5008
2
1216
3
796
4
505
5
280
6
116
7
54
8
21
9
13
10
5
11
1
Unique Household Identification NPS Y3
8015
0
Fruit Tree Crop Code
4886
3129
21
998
11
MAIZE
0
12
PADDY
0
13
SORGHUM
0
14
BULRUSH MILLET
0
15
FINGER MILLET
0
16
WHEAT
0
17
BARLEY
0
18
BLACK PEPPER
0
19
SEAWEED
0
21
CASSAVA
1
22
SWEET POTATOES
0
23
IRISH POTATOES
0
24
YAMS
0
25
COCOYAMS
1
26
ONIONS
0
27
GINGER
0
31
BEANS
0
32
COWPEAS
0
33
GREEN GRAM
0
34
PIGEON PEA
0
35
CHICK PEAS
0
36
BAMBARA NUTS
0
37
FIELD PEAS
0
38
MALAY APPLE
1
39
STAR FRUIT
12
41
SUNFLOWER
0
42
SESAME
0
43
GROUNDNUT
0
44
PALM OIL
0
45
COCONUT
0
46
CASHEW NUT
0
47
SOYABEANS
0
48
CASTER SEED
0
50
COTTON
0
51
TOBACCO
0
52
PYRETHRUM
0
53
SISAL
0
54
COFFEE
0
55
TEA
0
56
COCOA
0
57
RUBBER
0
58
WATTLE
0
59
KAPOK
0
60
SUGAR CANE
0
61
CARDAMOM
0
62
JUTE
0
63
TAMARIND
0
64
CINNAMON
0
65
NUTMEG
0
66
CLOVE
0
67
BREAD FRUIT
7
68
POMELO
1
69
JACK FRUIT
123
70
PASSION FRUIT
78
71
BANANA
1136
72
AVOCADO
345
73
MANGO
1185
74
PAPAW
490
75
PINEAPPLE
141
76
ORANGE
429
77
GRAPEFRUIT
0
78
GRAPES
0
79
MANDARIN
83
80
GUAVA
271
81
PLUMS
17
82
APPLES
8
83
PEARS
16
84
PEACHES
32
86
CABBAGE
0
87
TOMATOES
0
88
SPINACH
0
89
CARROT
0
90
CHILIES
0
91
AMARANTHS
0
92
PUMPKINS
0
93
CUCUMBER
0
94
EGG PLANT
0
95
WATER MELLON
0
96
CAULIFLOWER
0
97
DURIAN
1
98
BILIMBI
2
99
RAMBUTAN
2
100
OKRA
0
101
FIWI
0
200
CUSTARD APPLE
103
201
GOD FRUIT
0
202
MITOBO
1
203
PLUM
23
204
PEACHES
18
205
POMEGRANATE
12
210
DATE
6
211
TUNGAMAA
0
212
VANILLA
0
300
GREEN TOMATO
0
301
MONKEYBREAD
0
302
BAMBOO
0
303
FIREWOOD/FODDER
0
304
TIMBER
0
305
MEDICINAL PLANT
0
306
FENCE TREE
0
851
LIME
53
852
LEMON
158
998
OTHER (SPECIFY)
130
Sysmiss
3129
LIST ALL FRUIT TREES REPORTED IN SECTION 6A
4886
0
APPLE
2
APPLES
5
BELIN
1
BELINI
1
CHENZA
21
CHEZA
1
CHUNGWA
116
EMBE
335
EMBE NG'ONG'O
7
EMBE NG'ONGO
2
EMBENG,ONGO
1
FENES
1
FENESI
75
FOROSADI
1
FYOKS
1
HELEMU
1
KARANGA
1
KOKOMANGA
1
KOMAMANGA
8
KONGAMANGA
1
KUNGU
1
KUNGUMANGA
1
LIMAO
38
LIMAU
31
MABUNGO
1
MACHENZA
37
MACHUNGWA
159
MAEMBE
421
MAEPO
1
MAFENESI
19
MAFURISI
1
MAFYOKS
4
MAFYOKSI
3
MAFYUKS
1
MAFYULISI
2
MAFYURIKS
1
MAFYURIS
3
MAFYURISI
1
MAGIMBI
1
MAGOGWE
3
MAHEMBE
1
MAKARANGA
1
MAKATAPELA
1
MAKOMAMANGA
1
MALIMAO
17
MALIMAU
15
MALIMBE
1
MANANASI
31
MAPAPAI
151
MAPARACHICHI
80
MAPASHENI
5
MAPEASI
5
MAPENSENI
1
MAPENSHENI
1
MAPERA
171
MAPESHENI
17
MAPESKA
1
MAPINIGESI
1
MAPRAUNI
1
MASHELISHELI
2
MASIAWARA
1
MASONGOLE
1
MASTAFEL
1
MASTAFELI
24
MASTAFERI
4
MATAKAFELI
1
MATALALI
1
MATARALI
1
MATIKITI
1
MATOFAA
1
MATOPETOPE
4
MATUNDA
1
MATUNDA DAMU
10
MBIRIMBI
1
MCHENZA
11
MCHUNGWA
63
MDIMU
2
MFENESI
16
MGOMBA
13
MGOMBA [NDIZI]
1
MICHENZA
12
MICHEZA
1
MICHUNGWA
93
MIDIMU
7
MIDORIANI
1
MIEMBE
186
MIFENESI
12
MIFURISI
1
MIFYOKS
13
MIFYOKSI
3
MIFYURIKS
1
MIFYURISI
1
MIGOMBA
357
MIGOMBA (NDIZI)
2
MIGOMBA NDIZI
1
MIGOMBA YA NDIZI
1
MIGOMBA [NDIZI]
1
MIGOMBA(NDIZI)
1
MIGOMBANI
1
MIGUMBA (NDIZI)
1
MILIMAO
13
MILIMAU
4
MILONZO
1
MINANAS
1
MINANASI
22
MINDIMU
2
MIPAPAI
50
MIPARACHICHI
21
MIPENSHENI
2
MIPENSION
1
MIPERA
29
MIPESHENI
2
MISAMBIA
2
MISHELISHELI
3
MISHOKISHOKI
1
MISTAFELI
6
MISTAFERI
3
MITENDE
2
MITOBO
1
MITOGO
1
MITOPETOPE
5
MIZAMBARAU
1
MIZEITUNI
1
MKOMAMANGA
1
MKOROSHO
1
MKUNGU
2
MLIMAO
16
MLIMAU
25
MNANASI
6
MNDIMU
13
MNYELE
1
MPAPAI
60
MPARACHICHI
17
MPASHENI
1
MPENSHENI
7
MPERA
26
MPESHENI
12
MPINIGESI
1
MSAMBIA
1
MSANDA
1
MSTAFELI
8
MSTAFERI
4
MTOPETOPE
4
MUBUNGO
1
MUEMBE
1
MUHOGO
1
MWEMBE
241
MWEMBE NG'ONG'O
1
MZAMBARAU
1
MZEITUNI
1
NANASI
78
NDIMU
28
NDIZI
755
NDIZI.
1
NDOPI
1
NG'ONGO
1
NZANZA
1
PALACHICHI
4
PAPAI
231
PARACHICHI
224
PASHENI
5
PASSION
3
PEAS
2
PEASI
8
PEAZI
1
PENSHENI
7
PERA
46
PESHENI
14
PICHES
15
PICHESI
1
PINDIGESI
1
PINIGES
1
PINIGESI
1
SHOKISHOKI
1
SITAFELI
1
SONGWI
1
SOROFAJI
1
STAFELI
23
STAFERI
2
STAKAFELI
6
TENDE
4
TIKITI
1
TOPE TOPE
5
TOPE-TOPE
4
TOPETOPE
75
TUNDA DAMU
4
TUNDA JIWE
1
TUNDA MUNGU
1
TUNDADAMU
1
UDAWI
1
UKWAJU
2
ZAITUNI
3
ZAMBARAO
1
ZAMBARAU
21
ZEITUNI
1
Did you sell any of the [FRUIT] collected?
4886
3129
1
2
1
YES
867
2
NO
4019
Sysmiss
3129
What was the total quanity sold?
867
7148
1
47500
What was the total value of [FRUIT] sold?
867
7148
45
4900000
Who in your household was responsible for negotiating the sale of the [FRUIT]? (
867
7148
1
8
1
789
2
66
3
4
4
5
6
1
7
1
8
1
Sysmiss
7148
Who in your household was responsible for negotiating the sale of the [FRUIT]? (
426
7589
1
6
1
3
2
408
3
13
4
1
6
1
Sysmiss
7589
Who in your household decided what to do with these earnings? (ID #1)
867
7148
1
8
1
793
2
62
3
4
4
5
6
1
7
1
8
1
Sysmiss
7148
Who in your household decided what to do with these earnings? (ID #2)
441
7574
1
6
1
2
2
427
3
10
4
1
6
1
Sysmiss
7574
Where did you sell most of the fruit? (NR ID #1)
867
0
N01
244
N02
245
N03
194
N04
117
N05
33
N06
20
N07
7
N08
4
N99
3
Where did you sell most of the fruit? (NR ID #2)
18
0
N02
6
N03
6
N04
4
N05
1
N07
1
Do you have any of this harvest in storage now?
4885
3130
1
2
1
YES
17
2
NO
4868
Sysmiss
3130
How much of this harvest do you still have in storage?
17
7998
1
60
What is your main method of storage?
17
7998
1
7
1
LOCALLY MADE TRADITIONAL STRUCTURE
5
2
IMPROVED LOCALLY MADE STRUCTURE
2
3
MODERN STRUCTURE
0
4
SACKS/OPEN DRUM
2
5
AIRTIGHT DRUM
0
6
UNPROTECTED PILE
5
7
OTHER (SPECIFY)
3
Sysmiss
7998
Did you do anything to protect the stored crop?
17
7998
2
2
1
YES
0
2
NO
17
Sysmiss
7998
What did you do?
0
8015
1
SPRAYING
0
2
SMOKING
0
3
OTHER (SPECIFY)
0
Sysmiss
8015
Was any portion of the production lost post-harvest to rotting, insects, rodents
4885
3130
1
2
1
YES
144
2
NO
4741
Sysmiss
3130
What was the reason for this loss?
144
7871
1
4
1
ROTTING
125
2
INSECTS
5
3
RODENTS, PESTS
0
4
THEFT
14
5
OTHER (SPECIFY)
0
Sysmiss
7871
Out of 10 units of [FRUIT], how many were lost?
144
7871
1
10
1
48
2
42
3
20
4
8
5
14
6
5
7
2
8
2
9
2
10
1
Sysmiss
7871
What was the value of this lost [FRUIT]?
144
7871
500
180000
Case Section Roster / Line Occurrence Sequence for O/S Merge
6581
0
1
9
1
5010
2
952
3
411
4
127
5
45
6
17
7
8
8
6
9
5
Unique Household Identification NPS Y3
6581
0
Fruit Tree Crop Code
3524
3057
18
998
11
MAIZE
0
12
PADDY
0
13
SORGHUM
0
14
BULRUSH MILLET
0
15
FINGER MILLET
0
16
WHEAT
0
17
BARLEY
0
18
BLACK PEPPER
8
19
SEAWEED
0
21
CASSAVA
1116
22
SWEET POTATOES
2
23
IRISH POTATOES
0
24
YAMS
7
25
COCOYAMS
19
26
ONIONS
0
27
GINGER
0
31
BEANS
0
32
COWPEAS
0
33
GREEN GRAM
0
34
PIGEON PEA
60
35
CHICK PEAS
0
36
BAMBARA NUTS
0
37
FIELD PEAS
0
38
MALAY APPLE
0
39
STAR FRUIT
0
41
SUNFLOWER
0
42
SESAME
0
43
GROUNDNUT
0
44
PALM OIL
121
45
COCONUT
356
46
CASHEW NUT
457
47
SOYABEANS
0
48
CASTER SEED
0
50
COTTON
0
51
TOBACCO
0
52
PYRETHRUM
0
53
SISAL
44
54
COFFEE
234
55
TEA
9
56
COCOA
17
57
RUBBER
1
58
WATTLE
1
59
KAPOK
5
60
SUGAR CANE
179
61
CARDAMOM
16
62
JUTE
0
63
TAMARIND
25
64
CINNAMON
14
65
NUTMEG
0
66
CLOVE
26
67
BREAD FRUIT
0
68
POMELO
0
69
JACK FRUIT
0
70
PASSION FRUIT
0
71
BANANA
1
72
AVOCADO
0
73
MANGO
0
74
PAPAW
0
75
PINEAPPLE
1
76
ORANGE
0
77
GRAPEFRUIT
0
78
GRAPES
2
79
MANDARIN
0
80
GUAVA
0
81
PLUMS
0
82
APPLES
0
83
PEARS
0
84
PEACHES
0
86
CABBAGE
0
87
TOMATOES
0
88
SPINACH
0
89
CARROT
0
90
CHILIES
0
91
AMARANTHS
0
92
PUMPKINS
0
93
CUCUMBER
0
94
EGG PLANT
0
95
WATER MELLON
0
96
CAULIFLOWER
0
97
DURIAN
1
98
BILIMBI
0
99
RAMBUTAN
0
100
OKRA
0
101
FIWI
0
200
CUSTARD APPLE
0
201
GOD FRUIT
0
202
MITOBO
0
203
PLUM
0
204
PEACHES
0
205
POMEGRANATE
0
210
DATE
0
211
TUNGAMAA
0
212
VANILLA
0
300
GREEN TOMATO
0
301
MONKEYBREAD
14
302
BAMBOO
15
303
FIREWOOD/FODDER
279
304
TIMBER
424
305
MEDICINAL PLANT
11
306
FENCE TREE
17
851
LIME
0
852
LEMON
0
998
OTHER (SPECIFY)
42
Sysmiss
3057
LIST ALL FRUIT TREES REPORTED IN SECTION 6A
3523
0
2
1
ABDALASINI
1
BINZARI
1
BOYO(MIT WA MBAO)
1
BUMATARE
1
CALPTUS
1
CALPTUSI
1
CHAI
9
CHAKULA CHA MIFUGO
2
CHIKICHI
49
COCOA
1
COPARES
1
CRAVELIA
1
DAWA
3
FOROSADI
1
GIMBI
1
GRAVELIA
3
GRAVERIA
4
GRAVILIA
1
GREVELIA
1
GREVIA
1
GREVILIA
4
GREVILLA
2
GRIVELIA
2
GRIVERIA
8
HILIKI
10
HINA
1
ILIKI
6
KAHAWA
233
KAKAO
15
KAMBA
1
KARAFU
1
KARAFUU
17
KARANGA MITI
1
KATANI
8
KAWILIA
3
KISAMVU
2
KISAMVU MPIRA
1
KOKOA
1
KOROSHO
308
KUNI
128
KWEME
4
LEBANONI
1
MACHIKICHI
1
MADUMA
1
MAGIMBI
19
MALIBOLIA
1
MALISHO YA MIFUGO
1
MASLIDA
1
MAWESE
14
MAYUGWA
1
MBAAZI
60
MBAO
65
MBULUMATALE
3
MBURU MATARE
1
MBUYU
9
MCHIKICHI
33
MDALASINI
9
MDARASINI
2
MFURUANJE
2
MFURUANJI
1
MGRIVELI
1
MHAMBO
1
MHOGO
45
MHUMULA
2
MIALE
1
MIANZI
14
MIBOYO
1
MIBUYU
4
MICHESE
1
MICHIKICHI
23
MICHONGOMA
2
MICHUJAMAJI
1
MIDALASINI
2
MIDORIANI
1
MIELEZI
2
MIERESI
2
MIEREZI
2
MIFURUFURU
1
MIGAMSI
1
MIGOMBA
1
MIHASHOKI
1
MIHIGO
1
MIHOGO
548
MIHOGO MPIRA
1
MIHUMULA
2
MIISEDEREA
1
MIJOHOLO
2
MIKABELA
3
MIKABERA
1
MIKADILIA
1
MIKAHAWA
1
MIKALATUSI
1
MIKAMBOKAMBO
1
MIKARAFUU
8
MIKARATUSI
9
MIKAREBA
1
MIKEREBIA
1
MIKERIBEA
1
MIKONGE
1
MIKOROSHO
80
MILINGOTI
1
MILUSINA
1
MINAZI
116
MININGA
3
MIPAINA
5
MIPEINA
1
MIPINE
1
MIRONGE
1
MIRUKA
1
MIRUMBA
1
MISEDELEKA
1
MISEDEREA
2
MISHAI
1
MISIPISO
1
MISIRA
1
MISONOBARI
1
MISUFI
3
MITANGA
1
MITI YA KUNI
1
MITI KUNUKA
1
MITI YA MBAO
1
MITI YA ASILI
2
MITI YA DAWA
2
MITI YA KUNI
135
MITI YA MAIDINI
1
MITI YA MBAO
197
MITI YA MIGEREVERIA
1
MITI YA MIGUNGA
2
MITI YA MIKOLA
1
MITI YA MISUNGWI
1
MITI YA MIYUGUYU
1
MITI YA MPOME
1
MITI YA UZIO
8
MITIKI
2
MITIKI[MITI YAMBAO]
1
MITIYA KUNI
1
MIVINJE
4
MIVULE
1
MIWA
179
MIWATI
1
MIWATO
1
MJOHORO
1
MKABELA
3
MKALIBIA
1
MKARAFUU
1
MKARANGA
1
MKARATUSI
2
MKAVILIA
1
MKONGE
36
MKOROSHO
70
MKRISMAS
1
MKUNGUGU
1
MKWAJU
3
MLAINA
1
MLEBANONI
1
MLOVERA
1
MMERESI-MBAO
1
MNAZI
51
MNINGA
2
MOHOGO
1
MPHOGOLO
1
MRINGARINGA
7
MRONGE
1
MSANDUKU
1
MSEDELERA
1
MSONOBARI
1
MSUFI
2
MTANGALA
1
MTI WA DAWA
1
MTI WA KUNI
1
MTI WA MBAO
10
MTI WA MBWEJERE
1
MTI WA MKONZE
1
MTI YA MBAO
1
MTIKI
3
MTUMBATI
1
MUAROBAINI
2
MUGOGO
1
MUHAMA
1
MUHOGO
519
MVULE
1
MWALE
1
MWAROBAINI
2
MZABIBU
1
NANASI
1
NAZI
187
NDIZI
1
NDUNYASA
2
PAINA
2
PAINAS
1
PAINI
1
PEINI
1
PILIPILI
2
PILIPILI MANGA
6
PINES
1
QUATAMALA
3
QUATEMALA
1
QUATEMALLA
1
SAPLASI
1
SELEGINA
1
SOMNDELE
1
STERIA
1
UBUYU
1
UKWAJU
22
ULANZI
2
UZIO
6
VIAZI VIKUU
8
VIAZI VITAMU
1
VINYOBWA
1
ZABIBU
1
Did you sell any of the [FRUIT] collected?
3523
3058
1
2
1
YES
921
2
NO
2602
Sysmiss
3058
What was the total quanity sold?
921
5660
1
150000
What was the total value of [FRUIT] sold?
920
5661
1200
17760000
Who in your household was responsible for negotiating the sale of the [FRUIT]? (
920
5661
1
8
1
870
2
39
3
7
4
1
6
1
7
1
8
1
Sysmiss
5661
Who in your household was responsible for negotiating the sale of the [FRUIT]? (
428
6153
1
9
1
3
2
412
3
5
4
2
5
1
6
2
7
1
8
1
9
1
Sysmiss
6153
Who in your household decided what to do with these earnings? (ID #1)
921
5660
1
7
1
876
2
37
3
6
6
1
7
1
Sysmiss
5660
Who in your household decided what to do with these earnings? (ID #2)
450
6131
1
9
1
2
2
432
3
9
4
2
5
1
6
2
7
1
9
1
Sysmiss
6131
Where did you sell most of the fruit? (NR ID #1)
920
0
N01
221
N02
288
N03
182
N04
126
N05
56
N06
23
N07
12
N08
6
N09
2
N10
2
N99
2
Where did you sell most of the fruit? (NR ID #2)
15
0
N02
2
N03
3
N04
5
N05
2
N06
2
N99
1
Do you have any of this harvest in storage now?
3523
3058
1
2
1
YES
216
2
NO
3307
Sysmiss
3058
How much of this harvest do you still have in storage?
216
6365
1
4050
What is your main method of storage?
215
6366
1
7
1
LOCALLY MADE TRADITIONAL STRUCTURE
34
2
IMPROVED LOCALLY MADE STRUCTURE
4
3
MODERN STRUCTURE
0
4
SACKS/OPEN DRUM
84
5
AIRTIGHT DRUM
1
6
UNPROTECTED PILE
50
7
OTHER (SPECIFY)
42
Sysmiss
6366
Did you do anything to protect the stored crop?
214
6367
1
2
1
YES
7
2
NO
207
Sysmiss
6367
What did you do?
7
6574
1
3
1
SPRAYING
3
2
SMOKING
2
3
OTHER (SPECIFY)
2
Sysmiss
6574
Was any portion of the production lost post-harvest to rotting, insects, rodents
3523
3058
1
2
1
YES
10
2
NO
3513
Sysmiss
3058
What was the reason for this loss?
10
6571
1
4
1
ROTTING
3
2
INSECTS
2
3
RODENTS, PESTS
3
4
THEFT
2
5
OTHER (SPECIFY)
0
Sysmiss
6571
Out of 10 units of [FRUIT], how many were lost?
10
6571
0
7
0
1
1
3
2
2
3
2
5
1
7
1
Sysmiss
6571
What was the value of this lost [FRUIT]?
10
6571
9960
120000
Did you or anyone in this household own or cultivate any plots in the long rainy
4901
1680
1
2
1
YES
4870
2
NO
31
Sysmiss
1680
Case Section Roster / Line Occurrence Sequence for O/S Merge
5930
0
1
5
1
5010
2
230
3
230
4
230
5
230
Unique Household Identification NPS Y3
5930
0
Input Code
1150
4780
1
5
1
A. UREA
230
2
B. DAP/MINJINGU
230
3
C. MAIZE HYBRID
230
4
D. MAIZE OPV
230
5
E. PADDY
230
Sysmiss
4780
Input Name
1150
0
A. UREA
230
B. DAP/Minji
230
C. Mahindi h
230
D. Mahindi O
230
E. Mpunga
230
Did your household receive any vouchers to buy [INPUT] in the 2012/2013 planting
1145
4785
1
2
1
YES
248
2
NO
897
Sysmiss
4785
How many vouchers did your household receive for [INPUT]?
248
5682
0
6
0
1
1
208
2
35
3
3
6
1
Sysmiss
5682
Who in your household received the vouchers for [INPUT]? (ID #1)
248
5682
1
8
1
224
2
19
3
4
8
1
Sysmiss
5682
Who in your household received the vouchers for [INPUT]? (ID #2)
29
5901
2
4
2
25
3
1
4
3
Sysmiss
5901
How many vouchers did you redeem for [INPUT]?
248
5682
0
6
0
30
1
186
2
27
3
3
4
1
6
1
Sysmiss
5682
How much did you pay in total for [INPUT] after redeeming the vouchers?
218
5712
0
600000
How much did you pay for transportation to acquire the [INPUT]?
218
5712
0
10000
How many kilograms did you receive from your vouchers for [INPUT]?
218
5712
1
600
How many kilograms from these vouchers for [INPUT] did you use in the 2012/2013
218
5712
0
600
How many kilograms from these vouchers for [INPUT] did you sell?
218
5712
0
100
How many kilograms form these vouchers for [INPUT] did you give away?
218
5712
0
40
How many kilograms form these vouchers for [INPUT] did you trade?
218
5712
0
100
Case Section Roster / Line Occurrence Sequence for O/S Merge
5011
0
1
2
1
5010
2
1
Unique Household Identification NPS Y3
5011
0
What crops were grown as part of an outgrower scheme or contract farming system
64
0
MAUA
1
MWANI
1
PAMBA
8
TUMBAKU
54
What crops were grown as part of an outgrower scheme or contract farming system
64
4947
19
998
11
MAIZE
0
12
PADDY
0
13
SORGHUM
0
14
BULRUSH MILLET
0
15
FINGER MILLET
0
16
WHEAT
0
17
BARLEY
0
18
BLACK PEPPER
0
19
SEAWEED
1
21
CASSAVA
0
22
SWEET POTATOES
0
23
IRISH POTATOES
0
24
YAMS
0
25
COCOYAMS
0
26
ONIONS
0
27
GINGER
0
31
BEANS
0
32
COWPEAS
0
33
GREEN GRAM
0
34
PIGEON PEA
0
35
CHICK PEAS
0
36
BAMBARA NUTS
0
37
FIELD PEAS
0
38
MALAY APPLE
0
39
STAR FRUIT
0
41
SUNFLOWER
0
42
SESAME
0
43
GROUNDNUT
0
44
PALM OIL
0
45
COCONUT
0
46
CASHEW NUT
0
47
SOYABEANS
0
48
CASTER SEED
0
50
COTTON
12
51
TOBACCO
50
52
PYRETHRUM
0
53
SISAL
0
54
COFFEE
0
55
TEA
0
56
COCOA
0
57
RUBBER
0
58
WATTLE
0
59
KAPOK
0
60
SUGAR CANE
0
61
CARDAMOM
0
62
JUTE
0
63
TAMARIND
0
64
CINNAMON
0
65
NUTMEG
0
66
CLOVE
0
67
BREAD FRUIT
0
68
POMELO
0
69
JACK FRUIT
0
70
PASSION FRUIT
0
71
BANANA
0
72
AVOCADO
0
73
MANGO
0
74
PAPAW
0
75
PINEAPPLE
0
76
ORANGE
0
77
GRAPEFRUIT
0
78
GRAPES
0
79
MANDARIN
0
80
GUAVA
0
81
PLUMS
0
82
APPLES
0
83
PEARS
0
84
PEACHES
0
86
CABBAGE
0
87
TOMATOES
0
88
SPINACH
0
89
CARROT
0
90
CHILIES
0
91
AMARANTHS
0
92
PUMPKINS
0
93
CUCUMBER
0
94
EGG PLANT
0
95
WATER MELLON
0
96
CAULIFLOWER
0
97
DURIAN
0
98
BILIMBI
0
99
RAMBUTAN
0
100
OKRA
0
101
FIWI
0
200
CUSTARD APPLE
0
201
GOD FRUIT
0
202
MITOBO
0
203
PLUM
0
204
PEACHES
0
205
POMEGRANATE
0
210
DATE
0
211
TUNGAMAA
0
212
VANILLA
0
300
GREEN TOMATO
0
301
MONKEYBREAD
0
302
BAMBOO
0
303
FIREWOOD/FODDER
0
304
TIMBER
0
305
MEDICINAL PLANT
0
306
FENCE TREE
0
851
LIME
0
852
LEMON
0
998
OTHER (SPECIFY)
1
Sysmiss
4947
What farm/company did you work with in this scheme? (NR ID)
64
0
N01
39
N02
14
N03
5
N04
3
N05
1
N08
2
What did you agree in advance (before planting) with the buyer as part of this s
64
4947
1
2
1
YES
49
2
NO
15
Sysmiss
4947
What did you agree in advance (before planting) with the buyer as part of this s
64
4947
1
2
1
YES
19
2
NO
45
Sysmiss
4947
What did you agree in advance (before planting) with the buyer as part of this s
64
4947
1
2
1
YES
17
2
NO
47
Sysmiss
4947
What did you agree in advance (before planting) with the buyer as part of this s
64
4947
1
2
1
YES
58
2
NO
6
Sysmiss
4947
What did you agree in advance (before planting) with the buyer as part of this s
64
4947
1
2
1
YES
26
2
NO
38
Sysmiss
4947
What did you agree in advance (before planting) with the buyer as part of this s
64
4947
1
2
1
YES
2
2
NO
62
Sysmiss
4947
Did you sign a written contract with the buyer before planting?
64
4947
1
2
1
YES
44
2
NO
20
Sysmiss
4947
Would you say that the buyer complied with the original agreement?
64
4947
1
2
1
YES
50
2
NO
14
Sysmiss
4947
What were the main problems?
14
4997
1
4
1
DID NOT BUY ALL CROP
1
2
DELAYS IN PAYMENT
7
3
CHANGED THE PRICE
5
4
OTHER (SPECIFY)
1
Sysmiss
4997
Would you say that YOU complied with the original agreement?
64
4947
1
1
1
YES
64
2
NO
0
Sysmiss
4947
How/why did you break the agreement?
0
5011
1
SOLD ELSEWHERE
0
2
PLANTED LESS
0
3
PRODUCED LESS
0
4
OTHER (SPECIFY)
0
Sysmiss
5011
Case Section Roster / Line Occurrence Sequence for O/S Merge
5010
0
1
1
1
5010
Unique Household Identification NPS Y3
5010
0
What crops were grown as part of an outgrower scheme or contract farming system
3
0
MWANI
1
PAMBA
1
TUMBAKU
1
What crops were grown as part of an outgrower scheme or contract farming system
3
5007
19
51
11
MAIZE
0
12
PADDY
0
13
SORGHUM
0
14
BULRUSH MILLET
0
15
FINGER MILLET
0
16
WHEAT
0
17
BARLEY
0
18
BLACK PEPPER
0
19
SEAWEED
1
21
CASSAVA
0
22
SWEET POTATOES
0
23
IRISH POTATOES
0
24
YAMS
0
25
COCOYAMS
0
26
ONIONS
0
27
GINGER
0
31
BEANS
0
32
COWPEAS
0
33
GREEN GRAM
0
34
PIGEON PEA
0
35
CHICK PEAS
0
36
BAMBARA NUTS
0
37
FIELD PEAS
0
38
MALAY APPLE
0
39
STAR FRUIT
0
41
SUNFLOWER
0
42
SESAME
0
43
GROUNDNUT
0
44
PALM OIL
0
45
COCONUT
0
46
CASHEW NUT
0
47
SOYABEANS
0
48
CASTER SEED
0
50
COTTON
1
51
TOBACCO
1
52
PYRETHRUM
0
53
SISAL
0
54
COFFEE
0
55
TEA
0
56
COCOA
0
57
RUBBER
0
58
WATTLE
0
59
KAPOK
0
60
SUGAR CANE
0
61
CARDAMOM
0
62
JUTE
0
63
TAMARIND
0
64
CINNAMON
0
65
NUTMEG
0
66
CLOVE
0
67
BREAD FRUIT
0
68
POMELO
0
69
JACK FRUIT
0
70
PASSION FRUIT
0
71
BANANA
0
72
AVOCADO
0
73
MANGO
0
74
PAPAW
0
75
PINEAPPLE
0
76
ORANGE
0
77
GRAPEFRUIT
0
78
GRAPES
0
79
MANDARIN
0
80
GUAVA
0
81
PLUMS
0
82
APPLES
0
83
PEARS
0
84
PEACHES
0
86
CABBAGE
0
87
TOMATOES
0
88
SPINACH
0
89
CARROT
0
90
CHILIES
0
91
AMARANTHS
0
92
PUMPKINS
0
93
CUCUMBER
0
94
EGG PLANT
0
95
WATER MELLON
0
96
CAULIFLOWER
0
97
DURIAN
0
98
BILIMBI
0
99
RAMBUTAN
0
100
OKRA
0
101
FIWI
0
200
CUSTARD APPLE
0
201
GOD FRUIT
0
202
MITOBO
0
203
PLUM
0
204
PEACHES
0
205
POMEGRANATE
0
210
DATE
0
211
TUNGAMAA
0
212
VANILLA
0
300
GREEN TOMATO
0
301
MONKEYBREAD
0
302
BAMBOO
0
303
FIREWOOD/FODDER
0
304
TIMBER
0
305
MEDICINAL PLANT
0
306
FENCE TREE
0
851
LIME
0
852
LEMON
0
998
OTHER (SPECIFY)
0
Sysmiss
5007
What farm/company did you work with in this scheme?
3
0
N01
2
N02
1
What did you agree in advance (before planting) with the buyer as part of this s
3
5007
1
2
1
YES
1
2
NO
2
Sysmiss
5007
What did you agree in advance (before planting) with the buyer as part of this s
3
5007
1
1
1
YES
3
2
NO
0
Sysmiss
5007
What did you agree in advance (before planting) with the buyer as part of this s
3
5007
1
2
1
YES
1
2
NO
2
Sysmiss
5007
What did you agree in advance (before planting) with the buyer as part of this s
3
5007
1
2
1
YES
2
2
NO
1
Sysmiss
5007
What did you agree in advance (before planting) with the buyer as part of this s
3
5007
1
2
1
YES
1
2
NO
2
Sysmiss
5007
What did you agree in advance (before planting) with the buyer as part of this s
3
5007
1
2
1
YES
1
2
NO
2
Sysmiss
5007
Did you sign a written contract with the buyer before planting?
3
5007
1
2
1
YES
2
2
NO
1
Sysmiss
5007
Would you say that the buyer complied with the original agreement?
3
5007
1
2
1
YES
2
2
NO
1
Sysmiss
5007
What were the main problems?
1
5009
4
4
1
DID NOT BUY ALL CROP
0
2
DELAYS IN PAYMENT
0
3
CHANGED THE PRICE
0
4
OTHER (SPECIFY)
1
Sysmiss
5009
Would you say that YOU complied with the original agreement?
3
5007
1
1
1
YES
3
2
NO
0
Sysmiss
5007
How/why did you break the agreement?
0
5010
1
SOLD ELSEWHERE
0
2
PLANTED LESS
0
3
PRODUCED LESS
0
4
OTHER (SPECIFY)
0
Sysmiss
5010
Case Section Roster / Line Occurrence Sequence for O/S Merge
5010
0
1
1
1
5010
Unique Household Identification NPS Y3
5010
0
What fruit trees or permanent crops were grown as part of an outgrower scheme or
2
0
EMBE
1
KAHAWA
1
What fruit trees or permanent crops were grown as part of an outgrower scheme or
2
5008
54
73
11
MAIZE
0
12
PADDY
0
13
SORGHUM
0
14
BULRUSH MILLET
0
15
FINGER MILLET
0
16
WHEAT
0
17
BARLEY
0
18
BLACK PEPPER
0
19
SEAWEED
0
21
CASSAVA
0
22
SWEET POTATOES
0
23
IRISH POTATOES
0
24
YAMS
0
25
COCOYAMS
0
26
ONIONS
0
27
GINGER
0
31
BEANS
0
32
COWPEAS
0
33
GREEN GRAM
0
34
PIGEON PEA
0
35
CHICK PEAS
0
36
BAMBARA NUTS
0
37
FIELD PEAS
0
38
MALAY APPLE
0
39
STAR FRUIT
0
41
SUNFLOWER
0
42
SESAME
0
43
GROUNDNUT
0
44
PALM OIL
0
45
COCONUT
0
46
CASHEW NUT
0
47
SOYABEANS
0
48
CASTER SEED
0
50
COTTON
0
51
TOBACCO
0
52
PYRETHRUM
0
53
SISAL
0
54
COFFEE
1
55
TEA
0
56
COCOA
0
57
RUBBER
0
58
WATTLE
0
59
KAPOK
0
60
SUGAR CANE
0
61
CARDAMOM
0
62
JUTE
0
63
TAMARIND
0
64
CINNAMON
0
65
NUTMEG
0
66
CLOVE
0
67
BREAD FRUIT
0
68
POMELO
0
69
JACK FRUIT
0
70
PASSION FRUIT
0
71
BANANA
0
72
AVOCADO
0
73
MANGO
1
74
PAPAW
0
75
PINEAPPLE
0
76
ORANGE
0
77
GRAPEFRUIT
0
78
GRAPES
0
79
MANDARIN
0
80
GUAVA
0
81
PLUMS
0
82
APPLES
0
83
PEARS
0
84
PEACHES
0
86
CABBAGE
0
87
TOMATOES
0
88
SPINACH
0
89
CARROT
0
90
CHILIES
0
91
AMARANTHS
0
92
PUMPKINS
0
93
CUCUMBER
0
94
EGG PLANT
0
95
WATER MELLON
0
96
CAULIFLOWER
0
97
DURIAN
0
98
BILIMBI
0
99
RAMBUTAN
0
100
OKRA
0
101
FIWI
0
200
CUSTARD APPLE
0
201
GOD FRUIT
0
202
MITOBO
0
203
PLUM
0
204
PEACHES
0
205
POMEGRANATE
0
210
DATE
0
211
TUNGAMAA
0
212
VANILLA
0
300
GREEN TOMATO
0
301
MONKEYBREAD
0
302
BAMBOO
0
303
FIREWOOD/FODDER
0
304
TIMBER
0
305
MEDICINAL PLANT
0
306
FENCE TREE
0
851
LIME
0
852
LEMON
0
998
OTHER (SPECIFY)
0
Sysmiss
5008
What farm/company did you work with in this scheme?
2
0
N04
1
N07
1
What did you agree in advance (before planting) with the buyer as part of this s
2
5008
1
1
1
YES
2
2
NO
0
Sysmiss
5008
What did you agree in advance (before planting) with the buyer as part of this s
2
5008
2
2
1
YES
0
2
NO
2
Sysmiss
5008
What did you agree in advance (before planting) with the buyer as part of this s
2
5008
2
2
1
YES
0
2
NO
2
Sysmiss
5008
What did you agree in advance (before planting) with the buyer as part of this s
2
5008
1
1
1
YES
2
2
NO
0
Sysmiss
5008
What did you agree in advance (before planting) with the buyer as part of this s
2
5008
2
2
1
YES
0
2
NO
2
Sysmiss
5008
What did you agree in advance (before planting) with the buyer as part of this s
2
5008
2
2
1
YES
0
2
NO
2
Sysmiss
5008
Did you sign a written contract with the buyer before planting?
2
5008
1
1
1
YES
2
2
NO
0
Sysmiss
5008
Would you say that the buyer complied with the original agreement?
2
5008
1
1
1
YES
2
2
NO
0
Sysmiss
5008
What were the main problems?
0
5010
1
DID NOT BUY ALL CROP
0
2
DELAYS IN PAYMENT
0
3
CHANGED THE PRICE
0
4
OTHER (SPECIFY)
0
Sysmiss
5010
Would you say that YOU complied with the original agreement?
2
5008
1
1
1
YES
2
2
NO
0
Sysmiss
5008
How/why did you break the agreement?
0
5010
1
SOLD ELSEWHERE
0
2
PLANTED LESS
0
3
PRODUCED LESS
0
4
OTHER (SPECIFY)
0
Sysmiss
5010
Case Section Roster / Line Occurrence Sequence for O/S Merge
7316
0
1
8
1
5010
2
1575
3
454
4
236
5
29
6
9
7
2
8
1
Unique Household Identification NPS Y3
7316
0
Crop Name
4939
0
AL1ZETI
1
ALIZETI
134
CHIKICHI
27
KAHAWA
11
KARANGA
18
KOROSHO
1
MACHIKICHI
2
MAHINDI
3193
MAWELE
1
MAWESE
3
MCHIKICHI
19
MHOGO
13
MIANZI
1
MICHIKICHI
4
MIHOGO
139
MIHUGO
1
MPUNGA
911
MPUNGA.
1
MTAMA
229
MUGOGO
1
MUHOGO
139
NDIZI
7
NGANO
4
PARACHICHI
2
PUMBA
1
PUMBA ZA MAHINDI
1
SOYA
1
ULEZI
4
UWELE
63
VIAZI VITAMU
7
Crop Code
4939
2377
11
302
11
MAIZE
3190
12
PADDY
910
13
SORGHUM
230
14
BULRUSH MILLET
66
15
FINGER MILLET
4
16
WHEAT
4
17
BARLEY
0
18
BLACK PEPPER
0
19
SEAWEED
0
21
CASSAVA
297
22
SWEET POTATOES
7
23
IRISH POTATOES
0
24
YAMS
0
25
COCOYAMS
0
26
ONIONS
0
27
GINGER
0
31
BEANS
0
32
COWPEAS
0
33
GREEN GRAM
0
34
PIGEON PEA
0
35
CHICK PEAS
0
36
BAMBARA NUTS
0
37
FIELD PEAS
0
38
MALAY APPLE
0
39
STAR FRUIT
0
41
SUNFLOWER
135
42
SESAME
0
43
GROUNDNUT
18
44
PALM OIL
53
45
COCONUT
0
46
CASHEW NUT
1
47
SOYABEANS
1
48
CASTER SEED
0
50
COTTON
0
51
TOBACCO
0
52
PYRETHRUM
0
53
SISAL
0
54
COFFEE
11
55
TEA
0
56
COCOA
2
57
RUBBER
0
58
WATTLE
0
59
KAPOK
0
60
SUGAR CANE
0
61
CARDAMOM
0
62
JUTE
0
63
TAMARIND
0
64
CINNAMON
0
65
NUTMEG
0
66
CLOVE
0
67
BREAD FRUIT
0
68
POMELO
0
69
JACK FRUIT
0
70
PASSION FRUIT
0
71
BANANA
7
72
AVOCADO
2
73
MANGO
0
74
PAPAW
0
75
PINEAPPLE
0
76
ORANGE
0
77
GRAPEFRUIT
0
78
GRAPES
0
79
MANDARIN
0
80
GUAVA
0
81
PLUMS
0
82
APPLES
0
83
PEARS
0
84
PEACHES
0
86
CABBAGE
0
87
TOMATOES
0
88
SPINACH
0
89
CARROT
0
90
CHILIES
0
91
AMARANTHS
0
92
PUMPKINS
0
93
CUCUMBER
0
94
EGG PLANT
0
95
WATER MELLON
0
96
CAULIFLOWER
0
97
DURIAN
0
98
BILIMBI
0
99
RAMBUTAN
0
100
OKRA
0
101
FIWI
0
200
CUSTARD APPLE
0
201
GOD FRUIT
0
202
MITOBO
0
203
PLUM
0
204
PEACHES
0
205
POMEGRANATE
0
210
DATE
0
211
TUNGAMAA
0
212
VANILLA
0
300
GREEN TOMATO
0
301
MONKEYBREAD
0
302
BAMBOO
1
303
FIREWOOD/FODDER
0
304
TIMBER
0
305
MEDICINAL PLANT
0
306
FENCE TREE
0
851
LIME
0
852
LEMON
0
998
OTHER (SPECIFY)
0
Sysmiss
2377
Processed / By-Product
4938
2378
1
2
1
PROCESSED
3511
2
BY-PRODUCT
1427
Sysmiss
2378
What is the by-product produced from this crop?
4938
2378
1
17
1
FLOUR
2766
2
SEED
609
3
PALM OIL
121
4
JUICE
5
5
THREAD
3
6
PULP
0
7
RUBBER
3
8
OTHER (SPECIFY)
11
9
MAIZE BRAN
978
10
WET HUSK (WHEAT BARLEY)
50
11
RICE COVER
322
12
JUICE
1
13
THREAD
4
14
PULP
8
15
PALM OIL
6
16
OUTER COVER
4
17
NO WASTE
47
18
OTHER (SPECIFY)
0
Sysmiss
2378
What is the quantity produced in the last 12 months? AMOUNT
4938
2378
0
4536
What is the quantity produced in the last 12 months? UNIT
4938
2378
1
2
1
KG
4794
2
LITRE
144
Sysmiss
2378
In total, how much [CROP] did you use in total as input for the [BY_PRODUCT]?
4938
2378
1
7560
Was any [BY-PRODUCT] sold?
4938
2378
1
2
1
YES
77
2
NO
4861
Sysmiss
2378
How much was sold? AMOUNT
77
7239
5
2430
How much was sold? UNIT
77
7239
1
2
1
KG
57
2
LITRE
20
Sysmiss
7239
How much [CROP] did you use as input for the sold [BY-PRODUCT]?
77
7239
16
7560
Who in your household was responsible for negotiating the sale of [BY-PRODUCT]?
77
7239
1
3
1
65
2
11
3
1
Sysmiss
7239
Who in your household was responsible for negotiating the sale of [BY-PRODUCT]?
31
7285
2
2
2
31
Sysmiss
7285
Who in your household decided what to do with these earnings? (ID #1)
77
7239
1
3
1
63
2
13
3
1
Sysmiss
7239
Who in you household decided what to do with these earnings? (ID #2)
28
7288
2
2
2
28
Sysmiss
7288
What was total sales in shillings?
77
7239
750
3888000
Where did you sell most of the [BY-PRODUCT] that you sold? (NR #1)
78
0
N01
8
N02
14
N03
22
N04
18
N05
11
N06
2
N09
1
N99
2
Where did you sell most of the [BY-PRODUCT] that you sold? (NR #2)
1
0
N06
1
Did you incur any other expenses such as labor costs, additional inputs etc. in
4937
2379
1
2
1
YES
3068
2
NO
1869
Sysmiss
2379
What were the total costs of these additional expenses?
3068
4248
160
240000
Case Section Roster / Line Occurrence Sequence for O/S Merge
51532
0
1
15
1
5010
2
3323
3
3323
4
3323
5
3323
6
3323
7
3323
8
3323
9
3323
10
3323
11
3323
12
3323
13
3323
14
3323
15
3323
Unique Household Identification NPS Y3
51532
0
Item Code
49845
1687
1
15
1
HAND HOE
3323
2
HAND-POWERED SPRAYER
3323
3
OX PLOUGH
3323
4
OX SEED PLANTER
3323
5
OX CART
3323
6
TRACTOR
3323
7
TRACTOR PLOUGH
3323
8
TRACTOR HARROW
3323
9
SHELLER/THRESHER
3323
10
HAND MILL/GRINDER
3323
11
WATERING CAN
3323
12
FARM BUILDINGS/STORAGE FACILITIES
3323
13
GERI CANS/DRUMS
3323
14
POWER TILLER
3323
15
OTHER (SPECIFY)
3323
Sysmiss
1687
Item Name
49845
0
Bomba la mkono la kunyuny
3323
Harrow la trekta
3323
Jembe la kukokotwa na ng'
3323
Jembe la mkono
3323
Jembe la trekta
3323
Madebe ya kumwagilia
3323
Madumu / Mapipa ya maji
3323
Maksai
3323
Mashine ya kupandia inayo
3323
Mashine ya kupukuchua
3323
Mkokoteni wa ng'ombe
3323
Nyingine, (taja)
3323
Nyumba ya shamba / Ghala
3323
Power tiller
3323
Trekta
3323
How many [ITEM] does the household own?
49845
1687
0
100
What is the value of the [ITEM] if sold?
5782
45750
0
35000000
Did the household own [ITEM] during the last 12 months?
49831
1701
1
2
1
YES
5742
2
NO
44089
Sysmiss
1701
Did you use [ITEM] in the last 12 months
5740
45792
1
2
1
YES
5541
2
NO
199
Sysmiss
45792
What was the reason for not using [ITEM]?
198
51334
1
5
1
NO NEED FOR ONE
152
2
NEEDS REPAIR/SICK
17
3
LENT TO OTHERS
2
4
RENTED TO OTHERS
1
5
OTHER
26
Sysmiss
51334
Did your household rent or borrow any [ITEM] for use in the last 12 months?
49845
1687
1
2
1
YES
1516
2
NO
48329
Sysmiss
1687
How many [ITEM] did the household rent or borrow in the last 12 months?
1516
50016
0
40
Where did your household rent or borrow [ITEM] from last 12 months?
1515
0
N01
188
N02
284
N03
352
N04
289
N05
170
N06
118
N07
65
N08
26
N09
11
N10
7
N11
3
N99
2
How much did your housheold pay to rent or borrow [ITEM] last 12 months?
1514
50018
0
1280000
Case Section Roster / Line Occurrence Sequence for O/S Merge
18306
0
1
5
1
5010
2
3324
3
3324
4
3324
5
3324
Unique Household Identification NPS Y3
18306
0
Source ID
16620
1686
1
5
1
GOVERNMENT EXTENSION
3324
2
NGO
3324
3
COOPERATIVE/FARMER'S ASSOCIATION
3324
4
LARGE SCALE FARMER
3324
5
OTHER
3324
Sysmiss
1686
Source of Extension
16620
0
MKULIMA/MFUGAJI MKUBWA
3324
NGO
3324
NYINGINE, TAJA
3324
SERIKALI
3324
USHIRIKA /CHAMA CHA WAKUL
3324
Did you receive advice for your agricultural/livestock activities from any of th
16615
1691
1
2
1
YES
347
2
NO
16268
Sysmiss
1691
Did you receive any advice from [SOURCE] about... (Agricultural production)?
347
17959
1
2
1
YES
287
2
NO
60
Sysmiss
17959
Did you receive any advice from [SOURCE] about… (Agro-processing)?
347
17959
1
2
1
YES
51
2
NO
296
Sysmiss
17959
Did you receive any advice from [SOURCE] about… (Marketing)?
347
17959
1
2
1
YES
121
2
NO
226
Sysmiss
17959
Did you receive any advice from [SOURCE] about… (Fishing Production)?
347
17959
1
2
1
YES
11
2
NO
336
Sysmiss
17959
Did you receive any advice from [SOURCE] about… (Livestock Production)?
347
17959
1
2
1
YES
67
2
NO
280
Sysmiss
17959
Did you receive any advice from [SOURCE] about… (Prevention of Livestock disease
347
17959
1
2
1
YES
93
2
NO
254
Sysmiss
17959
Who in your household received advice from [SOURCE]? (ID #1)
347
17959
1
7
1
307
2
32
3
3
4
3
6
1
7
1
Sysmiss
17959
Who in your household received advice from [SOURCE]? (ID #2)
68
18238
1
11
1
2
2
55
3
6
4
3
7
1
11
1
Sysmiss
18238
Who in your household received advice from [SOURCE]? (ID #3)
5
18301
3
6
3
2
5
2
6
1
Sysmiss
18301
Who in your household received advice from [SOURCE]? (ID #4)
1
18305
1
1
1
1
Sysmiss
18305
How would you rate the advice received?
347
17959
1
3
1
GOOD
282
2
AVERAGE
61
3
BAD
4
Sysmiss
17959
Did you pay anything in order to receive the advice?
346
17960
1
2
1
YES
11
2
NO
335
Sysmiss
17960
How much did you pay?
10
18296
3000
100000
How many times did someone from [SOURCE] visit your farm in the past 12 months?
345
17961
0
12
0
171
1
62
2
50
3
33
4
15
5
2
6
5
7
3
9
1
10
2
12
1
Sysmiss
17961
Case Section Roster / Line Occurrence Sequence for O/S Merge
28271
0
1
8
1
5010
2
3323
3
3323
4
3323
5
3323
6
3323
7
3323
8
3323
Unique Household Identification NPS Y3
28271
0
Source ID
26584
1687
1
8
1
GOVERNMENT EXTENSION
3323
2
NGO
3323
3
COOPERATIVE/FARMER'S ASSOCIATION
3323
4
LARGE SCALE FARMER
3323
5
RADIO
3323
6
PUBLICATION
3323
7
NEIGHBOUR
3323
8
OTHER (SPECIFY)
3323
Sysmiss
1687
Source Name
26584
0
JIRANI
3323
MAGAZETI NA MACHAPIS
3323
MKULIMA/MFUGAJI MKUB
3323
NGO
3323
NYINGINE, TAJA
3323
REDIO/TELEVISHENI
3323
SERIKALI
3323
USHIRIKA /CHAMA CHA
3323
In the past 12 months did anyone in your household receive any information about
26584
1687
1
2
1
YES
2243
2
NO
24341
Sysmiss
1687
Did you pay anything in order to receive the advice?
1697
26574
1
2
1
YES
26
2
NO
1671
Sysmiss
26574
How much did you pay?
26
28245
0
12000
Case Section Roster / Line Occurrence Sequence for O/S Merge
5010
0
1
1
1
5010
Unique Household Identification NPS Y3
5010
0
HOUSEHOLD NUMBER
5010
0
1
3924
Y2 ROSTER ID OF LOWEST PRESENT HOUSEHOLD MEMBER IN HH ROSTER (HH_B06)
5010
0
1
114
Region Code
3335
1675
1
55
1
DODOMA
129
2
ARUSHA
75
3
KILIMANJARO
116
4
TANGA
135
5
MOROGORO
144
6
PWANI
71
7
DAR ES SALAAM
144
8
LINDI
193
9
MTWARA
275
10
RUVUMA
177
11
IRINGA
139
12
MBEYA
180
13
SINGIDA
72
14
TABORA
193
15
RUKWA
96
16
KIGOMA
149
17
SHINYANGA
231
18
KAGERA
195
19
MWANZA
212
20
MARA
66
21
MANYARA
69
51
KASKAZINI UNGUJA
68
52
KUSINI UNGUJA
34
53
MJINI/MAGHARIBI UNGUJA
28
54
KASKAZINI PEMBA
69
55
KUSINI PEMBA
75
Sysmiss
1675
Region Name
3336
0
ARUSHA
75
DAR ES SALAAM
144
DODOMA
129
IRINGA
139
KAGERA
195
KASKAZINI PEMBA
69
KASKAZINI UNGUJA
68
KIGOMA
149
KILIMANJARO
116
KUSINI PEMBA
75
KUSINI UNGUJA
34
LINDI
193
MANYARA
69
MARA
66
MBEYA
180
MJINI MAGHARIBI
28
MOROGORO
144
MTWARA
275
MWANZA
213
PWANI
71
RUKWA
96
RUVUMA
177
SHINYANGA
231
SINGIDA
72
TABORA
193
TANGA
135
District Code
3336
1674
1
8
1
763
2
781
3
553
4
447
5
369
6
259
7
97
8
67
Sysmiss
1674
District Name
3336
0
ARUMERU
20
ARUSHA
8
ARUSHA MJINI
3
BABATI
18
BAGAMOYO
14
BAHI
1
BAHI/DODOMA VIJIJINI
1
BARIADI
20
BIHARAMULO
19
BUKOBA RURAL
32
BUKOBA URBAN
18
BUKOMBE
22
BUNDA
14
CHAKECHAKE
46
CHATO
8
CHUNYA
33
DODOMA
1
DODOMA RURAL
41
DODOMA URBAN
25
DODOMA VIJIJINI(BAHI)
1
GEITA
47
HAI
28
HANANG
13
HANDENI
27
IGUNGA
55
IKUNGI(SINGIDA VIJIJINI)
1
ILALA
27
ILEJE
17
ILEMELA
16
IRAMBA
24
IRINGA RURAL
18
IRINGA URBAN
21
KAHAMA
48
KARAGWE
36
KARATU
13
KASKAZINI A
28
KASKAZINI B
40
KASULU
77
KATI
15
KIBAHA
11
KIBONDO
40
KIGOMA RURAL
30
KIGOMA URBAN
2
KILINDI
15
KILOLO
10
KILOMBERO
22
KILOSA
28
KILWA
49
KILWA MASOKO
2
KINONDONI
53
KISARAWE
7
KISHAPU
33
KITETO
8
KONDOA
9
KONGWA
24
KOROGWE
29
KUSINI
12
KWIMBA
34
KYELA
22
LINDI RURAL
40
LINDI URBAN
19
LIWALE
38
LUDEKIA
1
LUDEWA
25
LUSHOTO
21
MAFIA
7
MAFINGA
1
MAGHARIBI
29
MAGU
41
MAHENGE/ULANGA
1
MAKETE
9
MANYONI
25
MASASI
70
MASASI-NAYUMBU
1
MASWA
26
MBARALI
10
MBEYA RURAL
23
MBEYA URBAN
12
MBINGA
51
MBINGA NYASA
3
MBOZI
40
MBOZI (MOMBA)
1
MBULU
10
MEATU
28
MICHEWENI
32
MIKINDANI
3
MISENYE
4
MISUNGWI
29
MKINGA
1
MKOANI
29
MKURANGA
10
MONDULI
19
MOROGORO RURAL
13
MOROGORO URBAN
22
MOSHI RURAL
29
MPANDA
29
MPWAPWA
20
MTWARA
1
MTWARA MIKINDANI
12
MTWARA RURAL
74
MTWARA URBAN
12
MUFINDI
36
MUHEZA
20
MULEBA
34
MUSOMA
1
MUSOMA RURAL
25
MUSOMA URBAN
2
MVOMERO
37
MWANGA
17
NACHINGWEA
15
NAMTUMBO
23
NANYUMBU
1
NEWALA
59
NEWARA
2
NGARA
38
NGORONGORO
8
NGWALA
1
NICHRWENI
1
NJOMBE
16
NJOMBE RURAL
1
NJOMBE URBAN
1
NKASI
26
NYAMAGANA
5
NYASA
4
NZEGA
25
PANGANI
11
ROMBO
27
RUANGWA
30
RUFIJI
22
RUNGWE
22
RUVUMA MJINI
1
SAME
18
SENGEREMA
30
SERENGETI
8
SHINYANGA RURAL
30
SHINYANGA URBAN
25
SIKONGE
44
SIMANJIRO
27
SINGIDA RURAL
11
SINGIDA URBAN
11
SONGEA
1
SONGEA RURAL
47
SONGEA URBAN
5
SUMBAWANGA
8
SUMBAWANGA RURAL
24
SUMBAWANGA URBAN
9
TABORA URBAN
17
TANDAHIMBA
39
TANGA
1
TANGA URBAN
10
TARIME
15
TARIME(RORYA)
1
TEMEKE
64
TUNDURU
42
UKEREWE
16
ULANGA
20
ULANGA/MAHENGE
1
URAMBO
20
URAMBO (KALIUA)
5
URBAN
6
UYUI
27
WETE
36
Ward Code
3335
1675
11
413
Ward Name
5010
0
**CONFIDENTIAL**
5010
Village / Enumeration Area Code
3335
1675
1
999
Village / Enumeration Area Name
5010
0
**CONFIDENTIAL**
5010
Kitongoji or MTAA name
5010
0
**CONFIDENTIAL**
5010
Household Code
3332
1678
1
3922
Name of household head
5010
0
**CONFIDENTIAL**
5010
Name of household head from NPS year 2
5010
0
**CONFIDENTIAL**
5010
Full household identification from NPS year 2
3332
0
Name of enumerator
5010
0
**CONFIDENTIAL**
5010
Enumerator code
3331
1679
2
102
Time interview start - HR
3332
1678
1
12
1
26
2
44
3
70
4
265
5
654
6
756
7
574
8
407
9
265
10
149
11
90
12
32
Sysmiss
1678
Time interview start - MIN
3332
1678
0
59
Date of interview
3332
1678
1012013
31122012
Name of field supervisor
5010
0
**CONFIDENTIAL**
5010
Field supervisor code
3325
1685
1
9
1
440
2
536
3
622
4
504
5
553
6
158
7
145
8
273
9
94
Sysmiss
1685
Date of questionnaire inspection
3328
1682
1012013
31122012
Name of data entry clerk
5010
0
**CONFIDENTIAL**
5010
Data entry clerk code
3330
1680
17
102
Date of data entry
3330
1680
19272
19708
2ND Data entry clerk code
0
5010
Sysmiss
5010
Date of 2ND data entry
0
5010
Sysmiss
5010
Observations on the interview
3325
1685
1
2
1
YES
3213
2
NO
112
Sysmiss
1685
Region
401
0
1
55
1
Dodoma
11
2
Arusha
13
3
Kilimanjaro
13
4
Tanga
14
5
Morogoro
14
6
Pwani
8
7
Dar es Salaam
66
8
Lindi
18
9
Mtwara
22
10
Ruvuma
17
11
Iringa
16
12
Mbeya
19
13
Singida
7
14
Tabora
14
15
Rukwa
11
16
Kigoma
13
17
Shinyanga
17
18
Kagera
15
19
Mwanza
16
20
Mara
7
21
Manyara
10
51
Kaskazini Unguja
9
52
Kusini Unguja
4
53
Mjini Magharibi
26
54
Kaskazini Pemba
10
55
Kusini Pemba
11
District
401
0
1
8
1
121
2
92
3
72
4
40
5
40
6
23
7
6
8
7
Ward
401
0
11
381
Enumeration Area
401
0
1
454
Y3 Cluster ID
401
0
01-1-141-022
1
01-2-031-032
1
01-2-061-011
1
01-3-133-011
1
01-3-133-042
1
01-4-173-304
1
01-4-311-011
1
01-4-381-031
1
01-4-411-013
1
01-5-091-033
1
01-5-101-043
1
02-1-101-012
1
02-1-111-015
1
02-2-043-022
1
02-2-113-302
1
02-2-123-012
1
02-2-273-308
1
02-3-091-024
1
02-3-103-307
1
02-3-122-001
1
02-3-132-020
1
02-4-013-304
1
02-4-121-013
1
02-5-021-071
1
02-5-103-012
1
03-1-061-031
1
03-1-121-021
1
03-1-141-023
1
03-2-073-301
1
03-2-101-032
1
03-3-143-301
1
03-3-233-307
1
03-4-021-016
1
03-4-101-023
1
03-4-301-043
1
03-5-041-015
1
03-5-132-003
1
04-1-271-044
1
04-2-011-031
1
04-2-041-053
1
04-2-083-352
1
04-2-121-024
1
04-3-091-032
1
04-3-341-011
1
04-4-241-031
1
04-5-022-005
1
04-5-081-022
1
04-6-031-011
1
04-6-171-032
1
04-6-193-306
1
04-7-111-021
1
05-1-083-053
1
05-1-341-026
1
05-2-181-072
1
05-3-083-321
1
05-3-101-014
1
05-4-053-303
1
05-4-071-021
1
05-5-022-002
1
05-5-093-011
1
05-5-093-334
1
05-5-193-308
1
05-6-083-032
1
05-6-091-031
1
05-6-111-012
1
06-1-062-018
1
06-1-123-304
1
06-2-051-012
1
06-3-131-012
1
06-4-101-063
1
06-5-123-044
1
06-5-123-303
1
06-6-071-021
1
07-1-012-034
1
07-1-022-050
1
07-1-042-009
1
07-1-042-111
1
07-1-042-136
1
07-1-052-008
1
07-1-062-104
1
07-1-072-028
1
07-1-072-052
1
07-1-082-005
1
07-1-082-043
1
07-1-092-004
1
07-1-092-049
1
07-1-092-087
1
07-1-092-102
1
07-1-102-071
1
07-1-102-120
1
07-1-112-066
1
07-1-112-100
1
07-1-112-145
1
07-1-133-021
1
07-1-163-357
1
07-1-163-455
1
07-1-183-033
1
07-1-183-041
1
07-1-192-011
1
07-1-192-072
1
07-1-212-022
1
07-1-222-027
1
07-1-232-064
1
07-1-232-067
1
07-1-242-036
1
07-1-272-063
1
07-2-012-117
1
07-2-023-012
1
07-2-023-329
1
07-2-062-012
1
07-2-092-001
1
07-2-092-034
1
07-2-102-047
2
07-2-202-058
1
07-3-012-072
1
07-3-021-041
1
07-3-031-011
1
07-3-072-048
1
07-3-102-003
1
07-3-102-188
1
07-3-113-012
1
07-3-122-048
1
07-3-132-010
1
07-3-142-059
1
07-3-172-120
1
07-3-182-007
1
07-3-182-025
1
07-3-192-096
1
07-3-202-031
2
07-3-212-031
1
07-3-212-077
1
07-3-212-156
1
07-3-222-021
1
07-3-222-036
1
07-3-222-040
1
07-3-231-021
1
07-3-231-041
1
08-1-011-031
1
08-1-061-033
1
08-1-081-041
1
08-1-161-071
1
08-1-183-312
1
08-1-203-318
1
08-2-131-031
1
08-2-191-014
1
08-2-241-024
1
08-3-101-022
1
08-4-013-031
1
08-4-031-032
1
08-4-041-021
1
08-4-151-024
1
08-5-013-311
1
08-5-061-021
1
08-5-081-014
1
08-6-123-021
1
09-1-033-023
1
09-1-101-033
1
09-1-111-042
1
09-1-121-011
1
09-1-121-063
1
09-1-131-073
1
09-1-161-022
1
09-2-013-012
1
09-2-051-032
1
09-2-151-022
1
09-2-161-034
1
09-2-181-051
1
09-3-012-014
1
09-3-021-072
1
09-3-111-021
1
09-3-123-319
1
09-3-203-046
1
09-3-281-042
1
09-4-071-034
1
09-4-111-022
1
09-5-012-004
1
09-5-123-032
1
10-1-033-043
1
10-1-033-307
1
10-1-033-308
1
10-1-033-325
1
10-1-193-046
1
10-2-051-061
1
10-2-071-041
1
10-2-091-032
1
10-2-113-311
1
10-2-141-051
1
10-3-133-011
1
10-3-141-023
1
10-3-183-301
1
10-3-221-023
1
10-3-371-012
1
10-5-071-044
1
10-5-091-015
1
11-1-021-052
1
11-1-121-021
1
11-2-103-041
1
11-2-121-011
1
11-2-283-031
1
11-2-283-032
1
11-3-113-306
1
11-4-013-012
1
11-4-121-034
1
11-5-031-052
1
11-5-181-014
1
11-5-193-306
1
11-6-012-009
1
11-6-023-332
1
11-6-093-306
1
11-7-061-093
1
12-1-031-022
1
12-1-073-311
1
12-1-121-012
1
12-1-183-304
1
12-2-061-083
1
12-2-081-043
1
12-3-031-011
1
12-3-151-022
1
12-4-071-041
1
12-4-251-073
1
12-4-293-021
1
12-5-143-012
1
12-5-151-033
1
12-6-061-042
1
12-6-071-052
1
12-6-163-012
1
12-7-043-014
1
12-8-113-012
1
12-8-163-302
1
13-1-021-031
1
13-1-241-013
1
13-2-161-041
1
13-3-031-022
1
13-3-173-031
1
13-4-042-026
1
13-4-121-031
1
14-1-102-042
1
14-1-151-033
1
14-2-041-021
1
14-2-081-022
1
14-2-091-021
1
14-2-241-012
1
14-3-011-043
1
14-3-161-022
1
14-4-181-011
1
14-5-053-044
1
14-5-091-033
1
14-5-101-051
1
14-6-112-015
1
14-6-171-013
1
15-1-033-194
1
15-1-223-053
1
15-1-302-052
1
15-1-302-054
1
15-2-133-012
1
15-2-191-051
1
15-2-203-023
1
15-3-013-042
1
15-3-061-011
1
15-3-123-309
1
15-4-081-052
1
16-1-013-320
1
16-1-041-022
1
16-1-051-031
1
16-1-191-013
1
16-2-021-031
1
16-2-031-025
1
16-2-041-015
1
16-2-071-014
1
16-2-181-013
1
16-2-302-013
1
16-3-031-033
1
16-3-083-306
1
16-3-111-012
1
17-1-131-011
1
17-2-011-015
1
17-2-113-044
1
17-3-021-071
1
17-3-083-033
1
17-4-013-020
1
17-4-021-071
1
17-4-211-024
1
17-4-231-012
1
17-5-063-805
1
17-6-041-033
1
17-6-151-022
1
17-7-123-011
1
17-7-133-013
1
17-8-071-051
1
17-8-101-023
1
17-8-171-011
1
18-1-051-044
1
18-1-181-031
1
18-1-271-013
1
18-2-031-032
1
18-2-141-051
1
18-2-311-022
1
18-3-051-022
1
18-3-131-061
1
18-3-311-021
1
18-4-143-072
1
18-5-051-054
1
18-5-071-053
1
18-5-141-034
1
18-6-082-011
1
18-6-111-013
1
19-1-133-056
1
19-2-013-312
1
19-2-071-042
1
19-2-251-021
1
19-2-272-012
1
19-3-022-072
1
19-4-081-043
1
19-4-201-041
1
19-5-171-011
1
19-6-041-035
1
19-6-213-044
1
19-6-281-051
1
19-7-071-051
1
19-8-032-114
1
19-8-043-320
1
19-8-061-038
1
20-1-171-052
1
20-2-011-033
1
20-3-031-023
1
20-3-241-042
1
20-4-093-389
1
20-4-201-013
1
20-5-112-003
1
21-1-101-032
1
21-1-141-023
1
21-2-091-011
1
21-3-091-031
1
21-4-023-041
1
21-4-071-032
1
21-4-083-012
1
21-4-083-322
1
21-4-083-363
1
21-5-143-031
1
51-1-013-032
1
51-1-061-012
1
51-1-071-054
1
51-1-121-023
1
51-2-011-041
1
51-2-011-043
1
51-2-103-031
1
51-2-161-012
1
51-2-221-011
1
52-1-041-013
1
52-1-081-012
1
52-1-211-013
1
52-2-022-002
1
52-2-091-999
1
53-1-023-305
1
53-1-023-312
1
53-1-071-999
1
53-1-081-073
1
53-1-163-313
1
53-1-163-318
1
53-1-163-327
1
53-1-191-011
1
53-1-222-035
1
53-1-222-045
1
53-1-233-302
1
53-1-243-309
1
53-1-283-318
1
53-2-022-004
1
53-2-062-001
1
53-2-082-002
1
53-2-102-005
1
53-2-112-003
1
53-2-112-012
1
53-2-122-012
1
53-2-152-009
1
53-2-192-008
1
53-2-202-023
1
53-2-312-001
1
53-2-332-004
1
54-1-012-002
1
54-1-031-051
1
54-1-071-044
1
54-1-111-032
1
54-1-162-014
1
54-1-172-008
1
54-2-031-022
1
54-2-051-013
1
54-2-091-042
1
54-2-131-016
1
55-1-021-031
1
55-1-041-032
1
55-1-071-054
1
55-1-132-009
1
55-1-152-005
1
55-1-161-012
1
55-1-171-023
1
55-2-012-005
1
55-2-091-022
1
55-2-133-303
1
55-2-183-302
1
Name of Village
401
0
**CONFIDENTIAL**
401
Name of Enumerator
401
0
**CONFIDENTIAL**
401
Enumerator Id
401
0
1
27
Date of interview
401
0
1032013
31052013
Date of interview - DAY
401
0
1
31
Date of interview - MTH
401
0
1
12
1
JANUARY
39
2
FEBRUARY
25
3
MARCH
30
4
APRIL
38
5
MAY
36
6
JUNE
33
7
JULY
37
8
AUGUST
28
9
SEPTEMBER
5
10
OCTOBER
44
11
NOVEMBER
46
12
DECEMBER
40
Date of interview - YR
401
0
2012
2013
2012
129
2013
272
Supervisor id
4
397
5
7
5
3
7
1
Sysmiss
397
Date of Questionnaire inspection
4
397
5042013
28052013
Date of Questionnaire inspection - DAY
4
397
5
28
Date of Questionnaire inspection - MTH
4
397
2
9
1
JANUARY
0
2
FEBRUARY
1
3
MARCH
0
4
APRIL
1
5
MAY
1
6
JUNE
0
7
JULY
0
8
AUGUST
0
9
SEPTEMBER
1
10
OCTOBER
0
11
NOVEMBER
0
12
DECEMBER
0
Sysmiss
397
Date of Questionnaire inspection - YR
4
397
2013
2013
2013
4
Sysmiss
397
Name of data entry person
401
0
**CONFIDENTIAL**
401
Number of data entry person
401
0
17
87
Date of data entry
400
1
1012013
31122012
Date of data entry - DAY
401
0
1
31
Date of data entry - MTH
401
0
1
12
1
JANUARY
32
2
FEBRUARY
29
3
MARCH
30
4
APRIL
32
5
MAY
39
6
JUNE
27
7
JULY
42
8
AUGUST
30
9
SEPTEMBER
13
10
OCTOBER
34
11
NOVEMBER
48
12
DECEMBER
45
Date of data entry - YR
401
0
2012
2013
2012
125
2013
276
Number of data entry editor:
0
401
101
MPAMBA AKIDA
0
103
JOSEPHAT RITTE
0
104
ANDREW MADEMBWE
0
105
GEOFREY MWAKILUMA
0
106
KALMERITA KAOMA
0
Sysmiss
401
Date of data entry check
0
401
Sysmiss
401
Date of data entry check - DAY
0
401
Sysmiss
401
Date of data entry check - MTH
0
401
1
JANUARY
0
2
FEBRUARY
0
3
MARCH
0
4
APRIL
0
5
MAY
0
6
JUNE
0
7
JULY
0
8
AUGUST
0
9
SEPTEMBER
0
10
OCTOBER
0
11
NOVEMBER
0
12
DECEMBER
0
Sysmiss
401
Date of data entry check - YR
0
401
Sysmiss
401
village or mtaa office
401
0
1
4
1
Seen and Used
354
2
Seen But not used
7
3
Reported but not seen
0
4
No
40
Publicly accessible notice board
401
0
1
4
1
Seen and Used
145
2
Seen But not used
5
3
Reported but not seen
9
4
No
242
publicly accessible notice board
401
0
1
4
1
Seen and Used
152
2
Seen But not used
1
3
Reported but not seen
13
4
No
235
filing cabinet in village or mtaa office
400
1
1
4
1
Seen and Used
212
2
Seen But not used
2
3
Reported but not seen
12
4
No
174
Sysmiss
1
vital registration book of births and deaths (up-to-date
400
1
1
4
1
Seen and Used
123
2
Seen But not used
10
3
Reported but not seen
20
4
No
247
Sysmiss
1
meeting schedule
401
0
1
4
1
Seen and Used
170
2
Seen But not used
5
3
Reported but not seen
92
4
No
134
minutes of meeting (quarterly for past year)
401
0
1
4
1
Seen and Used
179
2
Seen But not used
6
3
Reported but not seen
124
4
No
92
village or mtaa register
400
1
1
4
1
Seen and Used
270
2
Seen But not used
11
3
Reported but not seen
64
4
No
55
Sysmiss
1
suggestion box
401
0
1
4
1
Seen and Used
76
2
Seen But not used
18
3
Reported but not seen
5
4
No
302
Latitude (South) Grades
401
0
**CONFIDENTIAL**
401
Latitude (South) Min
401
0
**CONFIDENTIAL**
401
Latitude (South) Sec
401
0
**CONFIDENTIAL**
401
Longitude (East) Grades
401
0
**CONFIDENTIAL**
401
Longitude (East) Min
401
0
**CONFIDENTIAL**
401
Longitude (East) Sec
401
0
**CONFIDENTIAL**
401
Region
12431
0
1
55
1
Dodoma
341
2
Arusha
403
3
Kilimanjaro
403
4
Tanga
434
5
Morogoro
434
6
Pwani
248
7
Dar es Salaam
2046
8
Lindi
558
9
Mtwara
682
10
Ruvuma
527
11
Iringa
496
12
Mbeya
589
13
Singida
217
14
Tabora
434
15
Rukwa
341
16
Kigoma
403
17
Shinyanga
527
18
Kagera
465
19
Mwanza
496
20
Mara
217
21
Manyara
310
51
Kaskazini Unguja
279
52
Kusini Unguja
124
53
Mjini Magharibi
806
54
Kaskazini Pemba
310
55
Kusini Pemba
341
District
12431
0
1
8
1
3751
2
2852
3
2232
4
1240
5
1240
6
713
7
186
8
217
Ward
12431
0
11
381
Enumeration Area
12431
0
1
454
Y3 Cluster ID
12431
0
01-1-141-022
31
01-2-031-032
31
01-2-061-011
31
01-3-133-011
31
01-3-133-042
31
01-4-173-304
31
01-4-311-011
31
01-4-381-031
31
01-4-411-013
31
01-5-091-033
31
01-5-101-043
31
02-1-101-012
31
02-1-111-015
31
02-2-043-022
31
02-2-113-302
31
02-2-123-012
31
02-2-273-308
31
02-3-091-024
31
02-3-103-307
31
02-3-122-001
31
02-3-132-020
31
02-4-013-304
31
02-4-121-013
31
02-5-021-071
31
02-5-103-012
31
03-1-061-031
31
03-1-121-021
31
03-1-141-023
31
03-2-073-301
31
03-2-101-032
31
03-3-143-301
31
03-3-233-307
31
03-4-021-016
31
03-4-101-023
31
03-4-301-043
31
03-5-041-015
31
03-5-132-003
31
04-1-271-044
31
04-2-011-031
31
04-2-041-053
31
04-2-083-352
31
04-2-121-024
31
04-3-091-032
31
04-3-341-011
31
04-4-241-031
31
04-5-022-005
31
04-5-081-022
31
04-6-031-011
31
04-6-171-032
31
04-6-193-306
31
04-7-111-021
31
05-1-083-053
31
05-1-341-026
31
05-2-181-072
31
05-3-083-321
31
05-3-101-014
31
05-4-053-303
31
05-4-071-021
31
05-5-022-002
31
05-5-093-011
31
05-5-093-334
31
05-5-193-308
31
05-6-083-032
31
05-6-091-031
31
05-6-111-012
31
06-1-062-018
31
06-1-123-304
31
06-2-051-012
31
06-3-131-012
31
06-4-101-063
31
06-5-123-044
31
06-5-123-303
31
06-6-071-021
31
07-1-012-034
31
07-1-022-050
31
07-1-042-009
31
07-1-042-111
31
07-1-042-136
31
07-1-052-008
31
07-1-062-104
31
07-1-072-028
31
07-1-072-052
31
07-1-082-005
31
07-1-082-043
31
07-1-092-004
31
07-1-092-049
31
07-1-092-087
31
07-1-092-102
31
07-1-102-071
31
07-1-102-120
31
07-1-112-066
31
07-1-112-100
31
07-1-112-145
31
07-1-133-021
31
07-1-163-357
31
07-1-163-455
31
07-1-183-033
31
07-1-183-041
31
07-1-192-011
31
07-1-192-072
31
07-1-212-022
31
07-1-222-027
31
07-1-232-064
31
07-1-232-067
31
07-1-242-036
31
07-1-272-063
31
07-2-012-117
31
07-2-023-012
31
07-2-023-329
31
07-2-062-012
31
07-2-092-001
31
07-2-092-034
31
07-2-102-047
62
07-2-202-058
31
07-3-012-072
31
07-3-021-041
31
07-3-031-011
31
07-3-072-048
31
07-3-102-003
31
07-3-102-188
31
07-3-113-012
31
07-3-122-048
31
07-3-132-010
31
07-3-142-059
31
07-3-172-120
31
07-3-182-007
31
07-3-182-025
31
07-3-192-096
31
07-3-202-031
62
07-3-212-031
31
07-3-212-077
31
07-3-212-156
31
07-3-222-021
31
07-3-222-036
31
07-3-222-040
31
07-3-231-021
31
07-3-231-041
31
08-1-011-031
31
08-1-061-033
31
08-1-081-041
31
08-1-161-071
31
08-1-183-312
31
08-1-203-318
31
08-2-131-031
31
08-2-191-014
31
08-2-241-024
31
08-3-101-022
31
08-4-013-031
31
08-4-031-032
31
08-4-041-021
31
08-4-151-024
31
08-5-013-311
31
08-5-061-021
31
08-5-081-014
31
08-6-123-021
31
09-1-033-023
31
09-1-101-033
31
09-1-111-042
31
09-1-121-011
31
09-1-121-063
31
09-1-131-073
31
09-1-161-022
31
09-2-013-012
31
09-2-051-032
31
09-2-151-022
31
09-2-161-034
31
09-2-181-051
31
09-3-012-014
31
09-3-021-072
31
09-3-111-021
31
09-3-123-319
31
09-3-203-046
31
09-3-281-042
31
09-4-071-034
31
09-4-111-022
31
09-5-012-004
31
09-5-123-032
31
10-1-033-043
31
10-1-033-307
31
10-1-033-308
31
10-1-033-325
31
10-1-193-046
31
10-2-051-061
31
10-2-071-041
31
10-2-091-032
31
10-2-113-311
31
10-2-141-051
31
10-3-133-011
31
10-3-141-023
31
10-3-183-301
31
10-3-221-023
31
10-3-371-012
31
10-5-071-044
31
10-5-091-015
31
11-1-021-052
31
11-1-121-021
31
11-2-103-041
31
11-2-121-011
31
11-2-283-031
31
11-2-283-032
31
11-3-113-306
31
11-4-013-012
31
11-4-121-034
31
11-5-031-052
31
11-5-181-014
31
11-5-193-306
31
11-6-012-009
31
11-6-023-332
31
11-6-093-306
31
11-7-061-093
31
12-1-031-022
31
12-1-073-311
31
12-1-121-012
31
12-1-183-304
31
12-2-061-083
31
12-2-081-043
31
12-3-031-011
31
12-3-151-022
31
12-4-071-041
31
12-4-251-073
31
12-4-293-021
31
12-5-143-012
31
12-5-151-033
31
12-6-061-042
31
12-6-071-052
31
12-6-163-012
31
12-7-043-014
31
12-8-113-012
31
12-8-163-302
31
13-1-021-031
31
13-1-241-013
31
13-2-161-041
31
13-3-031-022
31
13-3-173-031
31
13-4-042-026
31
13-4-121-031
31
14-1-102-042
31
14-1-151-033
31
14-2-041-021
31
14-2-081-022
31
14-2-091-021
31
14-2-241-012
31
14-3-011-043
31
14-3-161-022
31
14-4-181-011
31
14-5-053-044
31
14-5-091-033
31
14-5-101-051
31
14-6-112-015
31
14-6-171-013
31
15-1-033-194
31
15-1-223-053
31
15-1-302-052
31
15-1-302-054
31
15-2-133-012
31
15-2-191-051
31
15-2-203-023
31
15-3-013-042
31
15-3-061-011
31
15-3-123-309
31
15-4-081-052
31
16-1-013-320
31
16-1-041-022
31
16-1-051-031
31
16-1-191-013
31
16-2-021-031
31
16-2-031-025
31
16-2-041-015
31
16-2-071-014
31
16-2-181-013
31
16-2-302-013
31
16-3-031-033
31
16-3-083-306
31
16-3-111-012
31
17-1-131-011
31
17-2-011-015
31
17-2-113-044
31
17-3-021-071
31
17-3-083-033
31
17-4-013-020
31
17-4-021-071
31
17-4-211-024
31
17-4-231-012
31
17-5-063-805
31
17-6-041-033
31
17-6-151-022
31
17-7-123-011
31
17-7-133-013
31
17-8-071-051
31
17-8-101-023
31
17-8-171-011
31
18-1-051-044
31
18-1-181-031
31
18-1-271-013
31
18-2-031-032
31
18-2-141-051
31
18-2-311-022
31
18-3-051-022
31
18-3-131-061
31
18-3-311-021
31
18-4-143-072
31
18-5-051-054
31
18-5-071-053
31
18-5-141-034
31
18-6-082-011
31
18-6-111-013
31
19-1-133-056
31
19-2-013-312
31
19-2-071-042
31
19-2-251-021
31
19-2-272-012
31
19-3-022-072
31
19-4-081-043
31
19-4-201-041
31
19-5-171-011
31
19-6-041-035
31
19-6-213-044
31
19-6-281-051
31
19-7-071-051
31
19-8-032-114
31
19-8-043-320
31
19-8-061-038
31
20-1-171-052
31
20-2-011-033
31
20-3-031-023
31
20-3-241-042
31
20-4-093-389
31
20-4-201-013
31
20-5-112-003
31
21-1-101-032
31
21-1-141-023
31
21-2-091-011
31
21-3-091-031
31
21-4-023-041
31
21-4-071-032
31
21-4-083-012
31
21-4-083-322
31
21-4-083-363
31
21-5-143-031
31
51-1-013-032
31
51-1-061-012
31
51-1-071-054
31
51-1-121-023
31
51-2-011-041
31
51-2-011-043
31
51-2-103-031
31
51-2-161-012
31
51-2-221-011
31
52-1-041-013
31
52-1-081-012
31
52-1-211-013
31
52-2-022-002
31
52-2-091-999
31
53-1-023-305
31
53-1-023-312
31
53-1-071-999
31
53-1-081-073
31
53-1-163-313
31
53-1-163-318
31
53-1-163-327
31
53-1-191-011
31
53-1-222-035
31
53-1-222-045
31
53-1-233-302
31
53-1-243-309
31
53-1-283-318
31
53-2-022-004
31
53-2-062-001
31
53-2-082-002
31
53-2-102-005
31
53-2-112-003
31
53-2-112-012
31
53-2-122-012
31
53-2-152-009
31
53-2-192-008
31
53-2-202-023
31
53-2-312-001
31
53-2-332-004
31
54-1-012-002
31
54-1-031-051
31
54-1-071-044
31
54-1-111-032
31
54-1-162-014
31
54-1-172-008
31
54-2-031-022
31
54-2-051-013
31
54-2-091-042
31
54-2-131-016
31
55-1-021-031
31
55-1-041-032
31
55-1-071-054
31
55-1-132-009
31
55-1-152-005
31
55-1-161-012
31
55-1-171-023
31
55-2-012-005
31
55-2-091-022
31
55-2-133-303
31
55-2-183-302
31
Basic services ALPHABET
12431
0
A
401
AA
401
AB
401
AC
401
AD
401
AE
401
AF
401
AG
401
B
401
C
401
D
401
E
401
F
401
G
401
H
401
I
401
J
401
K
401
L
401
M
401
N
401
O
401
P
401
Q
401
R
401
S
401
T
401
U
401
V
401
W
401
X
401
Basic services
12431
0
ATM
401
Bank-the nearest
401
Birth and Death registrat
401
Charcos dam
401
Community/Publicly owned
401
Court (primary)-the neare
401
Dip tank
401
Distance to District Head
401
Distance to Regional Head
401
Government health centre
401
Government hospital-the n
401
Government primary school
401
Government secondary scho
802
Hide and skins bandas
401
Market (daily)
401
Market (weekly)
401
Milk collection center
401
Milling machine-the neare
401
Mobile Money Agent Point
401
Police station or post-th
401
Post office-the nearest
401
Pre-primary school or nur
401
Primary market for Livest
401
Private Primary school-th
401
Private Secondary school-
401
Private health centre or
401
Private hospital-the near
401
SACCOs-the nearest
401
Slaughter slabs
401
Veterinary centre/clinic
401
Is the service available?
11596
835
1
5
1
Yes, Within the village / street
3042
2
No, Not within the village / street
5263
3
Not applicable
3290
5
1
Sysmiss
835
Cost of transport from village centre, one way, per person, by public transport?
6025
6406
0
40000
0
***Undefined Label
848
28
1
30
3
50
1
65
1
80
1
200
40
250
4
300
791
350
1
400
158
450
2
500
493
600
138
700
66
800
72
900
12
1000
794
1200
4
1300
48
1400
2
1500
373
1600
3
1700
1
1800
7
2000
478
2300
3
2500
139
2850
1
3000
404
3100
1
3200
1
3300
3
3500
91
4000
212
4300
2
4500
33
5000
238
5300
1
5500
28
5700
4
6000
96
6500
16
6950
1
7000
44
7500
9
8000
115
8100
6
9000
41
10000
62
10500
1
11000
16
11300
1
11500
1
12000
35
13000
2
14000
3
15000
28
16000
1
17000
3
18000
4
19000
2
20000
13
22000
2
24000
1
25000
6
28000
6
30000
6
40000
1
Sysmiss
6406
What is the distance to this service? KM
5633
6798
0
900
Name of the service/institution
12431
0
**CONFIDENTIAL**
12431
Region
5614
0
1
55
1
Dodoma
154
2
Arusha
182
3
Kilimanjaro
182
4
Tanga
196
5
Morogoro
196
6
Pwani
112
7
Dar es Salaam
924
8
Lindi
252
9
Mtwara
308
10
Ruvuma
238
11
Iringa
224
12
Mbeya
266
13
Singida
98
14
Tabora
196
15
Rukwa
154
16
Kigoma
182
17
Shinyanga
238
18
Kagera
210
19
Mwanza
224
20
Mara
98
21
Manyara
140
51
Kaskazini Unguja
126
52
Kusini Unguja
56
53
Mjini Magharibi
364
54
Kaskazini Pemba
140
55
Kusini Pemba
154
District
5614
0
1
8
1
1694
2
1288
3
1008
4
560
5
560
6
322
7
84
8
98
Ward
5614
0
11
381
Enumeration Area
5614
0
1
454
Y3 Cluster ID
5614
0
01-1-141-022
14
01-2-031-032
14
01-2-061-011
14
01-3-133-011
14
01-3-133-042
14
01-4-173-304
14
01-4-311-011
14
01-4-381-031
14
01-4-411-013
14
01-5-091-033
14
01-5-101-043
14
02-1-101-012
14
02-1-111-015
14
02-2-043-022
14
02-2-113-302
14
02-2-123-012
14
02-2-273-308
14
02-3-091-024
14
02-3-103-307
14
02-3-122-001
14
02-3-132-020
14
02-4-013-304
14
02-4-121-013
14
02-5-021-071
14
02-5-103-012
14
03-1-061-031
14
03-1-121-021
14
03-1-141-023
14
03-2-073-301
14
03-2-101-032
14
03-3-143-301
14
03-3-233-307
14
03-4-021-016
14
03-4-101-023
14
03-4-301-043
14
03-5-041-015
14
03-5-132-003
14
04-1-271-044
14
04-2-011-031
14
04-2-041-053
14
04-2-083-352
14
04-2-121-024
14
04-3-091-032
14
04-3-341-011
14
04-4-241-031
14
04-5-022-005
14
04-5-081-022
14
04-6-031-011
14
04-6-171-032
14
04-6-193-306
14
04-7-111-021
14
05-1-083-053
14
05-1-341-026
14
05-2-181-072
14
05-3-083-321
14
05-3-101-014
14
05-4-053-303
14
05-4-071-021
14
05-5-022-002
14
05-5-093-011
14
05-5-093-334
14
05-5-193-308
14
05-6-083-032
14
05-6-091-031
14
05-6-111-012
14
06-1-062-018
14
06-1-123-304
14
06-2-051-012
14
06-3-131-012
14
06-4-101-063
14
06-5-123-044
14
06-5-123-303
14
06-6-071-021
14
07-1-012-034
14
07-1-022-050
14
07-1-042-009
14
07-1-042-111
14
07-1-042-136
14
07-1-052-008
14
07-1-062-104
14
07-1-072-028
14
07-1-072-052
14
07-1-082-005
14
07-1-082-043
14
07-1-092-004
14
07-1-092-049
14
07-1-092-087
14
07-1-092-102
14
07-1-102-071
14
07-1-102-120
14
07-1-112-066
14
07-1-112-100
14
07-1-112-145
14
07-1-133-021
14
07-1-163-357
14
07-1-163-455
14
07-1-183-033
14
07-1-183-041
14
07-1-192-011
14
07-1-192-072
14
07-1-212-022
14
07-1-222-027
14
07-1-232-064
14
07-1-232-067
14
07-1-242-036
14
07-1-272-063
14
07-2-012-117
14
07-2-023-012
14
07-2-023-329
14
07-2-062-012
14
07-2-092-001
14
07-2-092-034
14
07-2-102-047
28
07-2-202-058
14
07-3-012-072
14
07-3-021-041
14
07-3-031-011
14
07-3-072-048
14
07-3-102-003
14
07-3-102-188
14
07-3-113-012
14
07-3-122-048
14
07-3-132-010
14
07-3-142-059
14
07-3-172-120
14
07-3-182-007
14
07-3-182-025
14
07-3-192-096
14
07-3-202-031
28
07-3-212-031
14
07-3-212-077
14
07-3-212-156
14
07-3-222-021
14
07-3-222-036
14
07-3-222-040
14
07-3-231-021
14
07-3-231-041
14
08-1-011-031
14
08-1-061-033
14
08-1-081-041
14
08-1-161-071
14
08-1-183-312
14
08-1-203-318
14
08-2-131-031
14
08-2-191-014
14
08-2-241-024
14
08-3-101-022
14
08-4-013-031
14
08-4-031-032
14
08-4-041-021
14
08-4-151-024
14
08-5-013-311
14
08-5-061-021
14
08-5-081-014
14
08-6-123-021
14
09-1-033-023
14
09-1-101-033
14
09-1-111-042
14
09-1-121-011
14
09-1-121-063
14
09-1-131-073
14
09-1-161-022
14
09-2-013-012
14
09-2-051-032
14
09-2-151-022
14
09-2-161-034
14
09-2-181-051
14
09-3-012-014
14
09-3-021-072
14
09-3-111-021
14
09-3-123-319
14
09-3-203-046
14
09-3-281-042
14
09-4-071-034
14
09-4-111-022
14
09-5-012-004
14
09-5-123-032
14
10-1-033-043
14
10-1-033-307
14
10-1-033-308
14
10-1-033-325
14
10-1-193-046
14
10-2-051-061
14
10-2-071-041
14
10-2-091-032
14
10-2-113-311
14
10-2-141-051
14
10-3-133-011
14
10-3-141-023
14
10-3-183-301
14
10-3-221-023
14
10-3-371-012
14
10-5-071-044
14
10-5-091-015
14
11-1-021-052
14
11-1-121-021
14
11-2-103-041
14
11-2-121-011
14
11-2-283-031
14
11-2-283-032
14
11-3-113-306
14
11-4-013-012
14
11-4-121-034
14
11-5-031-052
14
11-5-181-014
14
11-5-193-306
14
11-6-012-009
14
11-6-023-332
14
11-6-093-306
14
11-7-061-093
14
12-1-031-022
14
12-1-073-311
14
12-1-121-012
14
12-1-183-304
14
12-2-061-083
14
12-2-081-043
14
12-3-031-011
14
12-3-151-022
14
12-4-071-041
14
12-4-251-073
14
12-4-293-021
14
12-5-143-012
14
12-5-151-033
14
12-6-061-042
14
12-6-071-052
14
12-6-163-012
14
12-7-043-014
14
12-8-113-012
14
12-8-163-302
14
13-1-021-031
14
13-1-241-013
14
13-2-161-041
14
13-3-031-022
14
13-3-173-031
14
13-4-042-026
14
13-4-121-031
14
14-1-102-042
14
14-1-151-033
14
14-2-041-021
14
14-2-081-022
14
14-2-091-021
14
14-2-241-012
14
14-3-011-043
14
14-3-161-022
14
14-4-181-011
14
14-5-053-044
14
14-5-091-033
14
14-5-101-051
14
14-6-112-015
14
14-6-171-013
14
15-1-033-194
14
15-1-223-053
14
15-1-302-052
14
15-1-302-054
14
15-2-133-012
14
15-2-191-051
14
15-2-203-023
14
15-3-013-042
14
15-3-061-011
14
15-3-123-309
14
15-4-081-052
14
16-1-013-320
14
16-1-041-022
14
16-1-051-031
14
16-1-191-013
14
16-2-021-031
14
16-2-031-025
14
16-2-041-015
14
16-2-071-014
14
16-2-181-013
14
16-2-302-013
14
16-3-031-033
14
16-3-083-306
14
16-3-111-012
14
17-1-131-011
14
17-2-011-015
14
17-2-113-044
14
17-3-021-071
14
17-3-083-033
14
17-4-013-020
14
17-4-021-071
14
17-4-211-024
14
17-4-231-012
14
17-5-063-805
14
17-6-041-033
14
17-6-151-022
14
17-7-123-011
14
17-7-133-013
14
17-8-071-051
14
17-8-101-023
14
17-8-171-011
14
18-1-051-044
14
18-1-181-031
14
18-1-271-013
14
18-2-031-032
14
18-2-141-051
14
18-2-311-022
14
18-3-051-022
14
18-3-131-061
14
18-3-311-021
14
18-4-143-072
14
18-5-051-054
14
18-5-071-053
14
18-5-141-034
14
18-6-082-011
14
18-6-111-013
14
19-1-133-056
14
19-2-013-312
14
19-2-071-042
14
19-2-251-021
14
19-2-272-012
14
19-3-022-072
14
19-4-081-043
14
19-4-201-041
14
19-5-171-011
14
19-6-041-035
14
19-6-213-044
14
19-6-281-051
14
19-7-071-051
14
19-8-032-114
14
19-8-043-320
14
19-8-061-038
14
20-1-171-052
14
20-2-011-033
14
20-3-031-023
14
20-3-241-042
14
20-4-093-389
14
20-4-201-013
14
20-5-112-003
14
21-1-101-032
14
21-1-141-023
14
21-2-091-011
14
21-3-091-031
14
21-4-023-041
14
21-4-071-032
14
21-4-083-012
14
21-4-083-322
14
21-4-083-363
14
21-5-143-031
14
51-1-013-032
14
51-1-061-012
14
51-1-071-054
14
51-1-121-023
14
51-2-011-041
14
51-2-011-043
14
51-2-103-031
14
51-2-161-012
14
51-2-221-011
14
52-1-041-013
14
52-1-081-012
14
52-1-211-013
14
52-2-022-002
14
52-2-091-999
14
53-1-023-305
14
53-1-023-312
14
53-1-071-999
14
53-1-081-073
14
53-1-163-313
14
53-1-163-318
14
53-1-163-327
14
53-1-191-011
14
53-1-222-035
14
53-1-222-045
14
53-1-233-302
14
53-1-243-309
14
53-1-283-318
14
53-2-022-004
14
53-2-062-001
14
53-2-082-002
14
53-2-102-005
14
53-2-112-003
14
53-2-112-012
14
53-2-122-012
14
53-2-152-009
14
53-2-192-008
14
53-2-202-023
14
53-2-312-001
14
53-2-332-004
14
54-1-012-002
14
54-1-031-051
14
54-1-071-044
14
54-1-111-032
14
54-1-162-014
14
54-1-172-008
14
54-2-031-022
14
54-2-051-013
14
54-2-091-042
14
54-2-131-016
14
55-1-021-031
14
55-1-041-032
14
55-1-071-054
14
55-1-132-009
14
55-1-152-005
14
55-1-161-012
14
55-1-171-023
14
55-2-012-005
14
55-2-091-022
14
55-2-133-303
14
55-2-183-302
14
Investment Project code in alphabet
5614
0
A
401
B
401
C
401
D
401
E
401
F
401
G
401
H
401
I
401
J
401
K
401
L
401
M
401
N
401
Investment Project code
5614
0
Grain storage facilities:
401
Health centre or dispensa
802
Irrigation schemes
401
Livestock Infrastructure(
401
Markets: construction, ma
401
Road construction, mainte
401
School construction: pre-
401
School construction: prim
401
School construction: seco
401
School maintenace: primar
401
School maintenance: pre-p
401
School maintence: seconda
401
Water supply: digging wel
401
Has the village/street implemented any of the following?
5600
14
1
3
1
Yes
509
2
No
4859
3
Not applicable
232
Sysmiss
14
How much money was raised in total for this project?
480
5134
0
999999999
What was the total amount of money contributed by community members?
495
5119
0
40000000
How were the contributions raised?
312
5302
1
3
1
Voluntary
294
2
Compulsory
13
3
User fees for a service
5
Sysmiss
5302
Has the village/ street implemented any of the following, in 2007
493
5121
2
8
1
PEDP
0
2
TASAF
31
3
PADEP
2
4
District / Municipal / City
274
5
Central Government
46
6
NGO
13
7
International Organisation
21
8
Other
106
Sysmiss
5121
Region
400
0
1
55
1
Dodoma
11
2
Arusha
13
3
Kilimanjaro
13
4
Tanga
14
5
Morogoro
14
6
Pwani
8
7
Dar es Salaam
65
8
Lindi
18
9
Mtwara
22
10
Ruvuma
17
11
Iringa
16
12
Mbeya
19
13
Singida
7
14
Tabora
14
15
Rukwa
11
16
Kigoma
13
17
Shinyanga
17
18
Kagera
15
19
Mwanza
16
20
Mara
7
21
Manyara
10
51
Kaskazini Unguja
9
52
Kusini Unguja
4
53
Mjini Magharibi
26
54
Kaskazini Pemba
10
55
Kusini Pemba
11
District
400
0
1
8
1
121
2
91
3
72
4
40
5
40
6
23
7
6
8
7
Ward
400
0
11
381
Enumeration Area
400
0
1
454
Y3 Cluster ID
400
0
01-1-141-022
1
01-2-031-032
1
01-2-061-011
1
01-3-133-011
1
01-3-133-042
1
01-4-173-304
1
01-4-311-011
1
01-4-381-031
1
01-4-411-013
1
01-5-091-033
1
01-5-101-043
1
02-1-101-012
1
02-1-111-015
1
02-2-043-022
1
02-2-113-302
1
02-2-123-012
1
02-2-273-308
1
02-3-091-024
1
02-3-103-307
1
02-3-122-001
1
02-3-132-020
1
02-4-013-304
1
02-4-121-013
1
02-5-021-071
1
02-5-103-012
1
03-1-061-031
1
03-1-121-021
1
03-1-141-023
1
03-2-073-301
1
03-2-101-032
1
03-3-143-301
1
03-3-233-307
1
03-4-021-016
1
03-4-101-023
1
03-4-301-043
1
03-5-041-015
1
03-5-132-003
1
04-1-271-044
1
04-2-011-031
1
04-2-041-053
1
04-2-083-352
1
04-2-121-024
1
04-3-091-032
1
04-3-341-011
1
04-4-241-031
1
04-5-022-005
1
04-5-081-022
1
04-6-031-011
1
04-6-171-032
1
04-6-193-306
1
04-7-111-021
1
05-1-083-053
1
05-1-341-026
1
05-2-181-072
1
05-3-083-321
1
05-3-101-014
1
05-4-053-303
1
05-4-071-021
1
05-5-022-002
1
05-5-093-011
1
05-5-093-334
1
05-5-193-308
1
05-6-083-032
1
05-6-091-031
1
05-6-111-012
1
06-1-062-018
1
06-1-123-304
1
06-2-051-012
1
06-3-131-012
1
06-4-101-063
1
06-5-123-044
1
06-5-123-303
1
06-6-071-021
1
07-1-012-034
1
07-1-022-050
1
07-1-042-009
1
07-1-042-111
1
07-1-042-136
1
07-1-052-008
1
07-1-062-104
1
07-1-072-028
1
07-1-072-052
1
07-1-082-005
1
07-1-082-043
1
07-1-092-004
1
07-1-092-049
1
07-1-092-087
1
07-1-092-102
1
07-1-102-071
1
07-1-102-120
1
07-1-112-066
1
07-1-112-100
1
07-1-112-145
1
07-1-133-021
1
07-1-163-357
1
07-1-163-455
1
07-1-183-033
1
07-1-183-041
1
07-1-192-011
1
07-1-192-072
1
07-1-212-022
1
07-1-222-027
1
07-1-232-064
1
07-1-232-067
1
07-1-242-036
1
07-1-272-063
1
07-2-012-117
1
07-2-023-012
1
07-2-023-329
1
07-2-062-012
1
07-2-092-034
1
07-2-102-047
2
07-2-202-058
1
07-3-012-072
1
07-3-021-041
1
07-3-031-011
1
07-3-072-048
1
07-3-102-003
1
07-3-102-188
1
07-3-113-012
1
07-3-122-048
1
07-3-132-010
1
07-3-142-059
1
07-3-172-120
1
07-3-182-007
1
07-3-182-025
1
07-3-192-096
1
07-3-202-031
2
07-3-212-031
1
07-3-212-077
1
07-3-212-156
1
07-3-222-021
1
07-3-222-036
1
07-3-222-040
1
07-3-231-021
1
07-3-231-041
1
08-1-011-031
1
08-1-061-033
1
08-1-081-041
1
08-1-161-071
1
08-1-183-312
1
08-1-203-318
1
08-2-131-031
1
08-2-191-014
1
08-2-241-024
1
08-3-101-022
1
08-4-013-031
1
08-4-031-032
1
08-4-041-021
1
08-4-151-024
1
08-5-013-311
1
08-5-061-021
1
08-5-081-014
1
08-6-123-021
1
09-1-033-023
1
09-1-101-033
1
09-1-111-042
1
09-1-121-011
1
09-1-121-063
1
09-1-131-073
1
09-1-161-022
1
09-2-013-012
1
09-2-051-032
1
09-2-151-022
1
09-2-161-034
1
09-2-181-051
1
09-3-012-014
1
09-3-021-072
1
09-3-111-021
1
09-3-123-319
1
09-3-203-046
1
09-3-281-042
1
09-4-071-034
1
09-4-111-022
1
09-5-012-004
1
09-5-123-032
1
10-1-033-043
1
10-1-033-307
1
10-1-033-308
1
10-1-033-325
1
10-1-193-046
1
10-2-051-061
1
10-2-071-041
1
10-2-091-032
1
10-2-113-311
1
10-2-141-051
1
10-3-133-011
1
10-3-141-023
1
10-3-183-301
1
10-3-221-023
1
10-3-371-012
1
10-5-071-044
1
10-5-091-015
1
11-1-021-052
1
11-1-121-021
1
11-2-103-041
1
11-2-121-011
1
11-2-283-031
1
11-2-283-032
1
11-3-113-306
1
11-4-013-012
1
11-4-121-034
1
11-5-031-052
1
11-5-181-014
1
11-5-193-306
1
11-6-012-009
1
11-6-023-332
1
11-6-093-306
1
11-7-061-093
1
12-1-031-022
1
12-1-073-311
1
12-1-121-012
1
12-1-183-304
1
12-2-061-083
1
12-2-081-043
1
12-3-031-011
1
12-3-151-022
1
12-4-071-041
1
12-4-251-073
1
12-4-293-021
1
12-5-143-012
1
12-5-151-033
1
12-6-061-042
1
12-6-071-052
1
12-6-163-012
1
12-7-043-014
1
12-8-113-012
1
12-8-163-302
1
13-1-021-031
1
13-1-241-013
1
13-2-161-041
1
13-3-031-022
1
13-3-173-031
1
13-4-042-026
1
13-4-121-031
1
14-1-102-042
1
14-1-151-033
1
14-2-041-021
1
14-2-081-022
1
14-2-091-021
1
14-2-241-012
1
14-3-011-043
1
14-3-161-022
1
14-4-181-011
1
14-5-053-044
1
14-5-091-033
1
14-5-101-051
1
14-6-112-015
1
14-6-171-013
1
15-1-033-194
1
15-1-223-053
1
15-1-302-052
1
15-1-302-054
1
15-2-133-012
1
15-2-191-051
1
15-2-203-023
1
15-3-013-042
1
15-3-061-011
1
15-3-123-309
1
15-4-081-052
1
16-1-013-320
1
16-1-041-022
1
16-1-051-031
1
16-1-191-013
1
16-2-021-031
1
16-2-031-025
1
16-2-041-015
1
16-2-071-014
1
16-2-181-013
1
16-2-302-013
1
16-3-031-033
1
16-3-083-306
1
16-3-111-012
1
17-1-131-011
1
17-2-011-015
1
17-2-113-044
1
17-3-021-071
1
17-3-083-033
1
17-4-013-020
1
17-4-021-071
1
17-4-211-024
1
17-4-231-012
1
17-5-063-805
1
17-6-041-033
1
17-6-151-022
1
17-7-123-011
1
17-7-133-013
1
17-8-071-051
1
17-8-101-023
1
17-8-171-011
1
18-1-051-044
1
18-1-181-031
1
18-1-271-013
1
18-2-031-032
1
18-2-141-051
1
18-2-311-022
1
18-3-051-022
1
18-3-131-061
1
18-3-311-021
1
18-4-143-072
1
18-5-051-054
1
18-5-071-053
1
18-5-141-034
1
18-6-082-011
1
18-6-111-013
1
19-1-133-056
1
19-2-013-312
1
19-2-071-042
1
19-2-251-021
1
19-2-272-012
1
19-3-022-072
1
19-4-081-043
1
19-4-201-041
1
19-5-171-011
1
19-6-041-035
1
19-6-213-044
1
19-6-281-051
1
19-7-071-051
1
19-8-032-114
1
19-8-043-320
1
19-8-061-038
1
20-1-171-052
1
20-2-011-033
1
20-3-031-023
1
20-3-241-042
1
20-4-093-389
1
20-4-201-013
1
20-5-112-003
1
21-1-101-032
1
21-1-141-023
1
21-2-091-011
1
21-3-091-031
1
21-4-023-041
1
21-4-071-032
1
21-4-083-012
1
21-4-083-322
1
21-4-083-363
1
21-5-143-031
1
51-1-013-032
1
51-1-061-012
1
51-1-071-054
1
51-1-121-023
1
51-2-011-041
1
51-2-011-043
1
51-2-103-031
1
51-2-161-012
1
51-2-221-011
1
52-1-041-013
1
52-1-081-012
1
52-1-211-013
1
52-2-022-002
1
52-2-091-999
1
53-1-023-305
1
53-1-023-312
1
53-1-071-999
1
53-1-081-073
1
53-1-163-313
1
53-1-163-318
1
53-1-163-327
1
53-1-191-011
1
53-1-222-035
1
53-1-222-045
1
53-1-233-302
1
53-1-243-309
1
53-1-283-318
1
53-2-022-004
1
53-2-062-001
1
53-2-082-002
1
53-2-102-005
1
53-2-112-003
1
53-2-112-012
1
53-2-122-012
1
53-2-152-009
1
53-2-192-008
1
53-2-202-023
1
53-2-312-001
1
53-2-332-004
1
54-1-012-002
1
54-1-031-051
1
54-1-071-044
1
54-1-111-032
1
54-1-162-014
1
54-1-172-008
1
54-2-031-022
1
54-2-051-013
1
54-2-091-042
1
54-2-131-016
1
55-1-021-031
1
55-1-041-032
1
55-1-071-054
1
55-1-132-009
1
55-1-152-005
1
55-1-161-012
1
55-1-171-023
1
55-2-012-005
1
55-2-091-022
1
55-2-133-303
1
55-2-183-302
1
Cultivation by villages (acres)
298
102
0
411000
Cultivation by villages (percent)
310
90
0
99.8
Agro-business/plantation farming by outsiders (acres)
294
106
0
13000
Agro-business/plantation farming by outsiders (percent)
287
113
0
99
Forest (acres)
301
99
0
62500
Forest (percent)
304
96
0
99
Pasture common access (acres)
299
101
0
19300
Pasture common access (percent)
297
103
0
99
Wetland (acres)
295
105
0
12500
Wetland (percent)
285
115
0
99
Residential (acres)
249
151
0
7000
Residential (percent)
315
85
0
100
Business (acres)
241
159
0
1000
Business (percent)
287
113
0
99
Other (acres)
245
155
0
32566
Other (percent)
289
111
0
99
Does the village have a Certificate of Village Lands?
400
0
1
2
1
Yes
91
2
No
309
When was the Certificate issued? (month)
90
310
1
99
1
JANUARY
3
2
FEBRUARY
8
3
MARCH
3
4
APRIL
5
5
MAY
5
6
JUNE
7
7
JULY
19
8
AUGUST
9
9
SEPTEMBER
6
10
OCTOBER
2
11
NOVEMBER
2
12
DECEMBER
4
98
1
99
16
Sysmiss
310
When was the Certificate issued? (year)
91
309
1967
2013
(a) Appropriation of land for outside investors: In the 12 months, has any land
400
0
1
2
1
Yes
3
2
No
397
(a) Appropriation of land for outside investors: When did this occur? (month)
3
397
8
99
1
JANUARY
0
2
FEBRUARY
0
3
MARCH
0
4
APRIL
0
5
MAY
0
6
JUNE
0
7
JULY
0
8
AUGUST
1
9
SEPTEMBER
0
10
OCTOBER
0
11
NOVEMBER
1
12
DECEMBER
0
99
1
Sysmiss
397
(a) Appropriation of land for outside investors: When did this occur? (year)
3
397
2011
2012
2011
2
2012
1
Sysmiss
397
(a) Appropriation of land for outside investors: How many households were affect
3
397
0
1
0
2
1
1
Sysmiss
397
(a) Appropriation of land for outside investors: What was the value of compensat
3
397
0
31000000
(b) District or Central Government declaring land in the village as reserve land
400
0
1
2
1
Yes
5
2
No
395
(b) District or Central Government declaring land in the village as reserve land
5
395
3
12
1
JANUARY
0
2
FEBRUARY
0
3
MARCH
1
4
APRIL
0
5
MAY
0
6
JUNE
1
7
JULY
0
8
AUGUST
1
9
SEPTEMBER
1
10
OCTOBER
0
11
NOVEMBER
0
12
DECEMBER
1
Sysmiss
395
(b) District or Central Government declaring land in the village as reserve land
5
395
2011
2012
2011
1
2012
4
Sysmiss
395
(b) District or Central Government declaring land in the village as reserve land
5
395
0
150
(b) District or Central Government declaring land in the village as reserve land
4
396
0
0
0
4
Sysmiss
396
(c) Allocation of land cultivated or inhabited by villagers for public use: In t
400
0
1
2
1
Yes
12
2
No
388
(c) Allocation of land cultivated or inhabited by villagers for public use: When
12
388
2
12
1
JANUARY
0
2
FEBRUARY
1
3
MARCH
1
4
APRIL
1
5
MAY
2
6
JUNE
1
7
JULY
2
8
AUGUST
0
9
SEPTEMBER
0
10
OCTOBER
3
11
NOVEMBER
0
12
DECEMBER
1
Sysmiss
388
(c) Allocation of land cultivated or inhabited by villagers for public use: When
12
388
2011
2013
2011
2
2012
8
2013
2
Sysmiss
388
(c) Allocation of land cultivated or inhabited by villagers for public use: How
12
388
0
118
(c) Allocation of land cultivated or inhabited by villagers for public use: What
11
389
0
826000000
Region
401
0
1
55
1
Dodoma
11
2
Arusha
13
3
Kilimanjaro
13
4
Tanga
14
5
Morogoro
14
6
Pwani
8
7
Dar es Salaam
66
8
Lindi
18
9
Mtwara
22
10
Ruvuma
17
11
Iringa
16
12
Mbeya
19
13
Singida
7
14
Tabora
14
15
Rukwa
11
16
Kigoma
13
17
Shinyanga
17
18
Kagera
15
19
Mwanza
16
20
Mara
7
21
Manyara
10
51
Kaskazini Unguja
9
52
Kusini Unguja
4
53
Mjini Magharibi
26
54
Kaskazini Pemba
10
55
Kusini Pemba
11
District
401
0
1
8
1
121
2
92
3
72
4
40
5
40
6
23
7
6
8
7
Ward
401
0
11
381
Enumeration Area
401
0
1
454
Y3 Cluster ID
401
0
01-1-141-022
1
01-2-031-032
1
01-2-061-011
1
01-3-133-011
1
01-3-133-042
1
01-4-173-304
1
01-4-311-011
1
01-4-381-031
1
01-4-411-013
1
01-5-091-033
1
01-5-101-043
1
02-1-101-012
1
02-1-111-015
1
02-2-043-022
1
02-2-113-302
1
02-2-123-012
1
02-2-273-308
1
02-3-091-024
1
02-3-103-307
1
02-3-122-001
1
02-3-132-020
1
02-4-013-304
1
02-4-121-013
1
02-5-021-071
1
02-5-103-012
1
03-1-061-031
1
03-1-121-021
1
03-1-141-023
1
03-2-073-301
1
03-2-101-032
1
03-3-143-301
1
03-3-233-307
1
03-4-021-016
1
03-4-101-023
1
03-4-301-043
1
03-5-041-015
1
03-5-132-003
1
04-1-271-044
1
04-2-011-031
1
04-2-041-053
1
04-2-083-352
1
04-2-121-024
1
04-3-091-032
1
04-3-341-011
1
04-4-241-031
1
04-5-022-005
1
04-5-081-022
1
04-6-031-011
1
04-6-171-032
1
04-6-193-306
1
04-7-111-021
1
05-1-083-053
1
05-1-341-026
1
05-2-181-072
1
05-3-083-321
1
05-3-101-014
1
05-4-053-303
1
05-4-071-021
1
05-5-022-002
1
05-5-093-011
1
05-5-093-334
1
05-5-193-308
1
05-6-083-032
1
05-6-091-031
1
05-6-111-012
1
06-1-062-018
1
06-1-123-304
1
06-2-051-012
1
06-3-131-012
1
06-4-101-063
1
06-5-123-044
1
06-5-123-303
1
06-6-071-021
1
07-1-012-034
1
07-1-022-050
1
07-1-042-009
1
07-1-042-111
1
07-1-042-136
1
07-1-052-008
1
07-1-062-104
1
07-1-072-028
1
07-1-072-052
1
07-1-082-005
1
07-1-082-043
1
07-1-092-004
1
07-1-092-049
1
07-1-092-087
1
07-1-092-102
1
07-1-102-071
1
07-1-102-120
1
07-1-112-066
1
07-1-112-100
1
07-1-112-145
1
07-1-133-021
1
07-1-163-357
1
07-1-163-455
1
07-1-183-033
1
07-1-183-041
1
07-1-192-011
1
07-1-192-072
1
07-1-212-022
1
07-1-222-027
1
07-1-232-064
1
07-1-232-067
1
07-1-242-036
1
07-1-272-063
1
07-2-012-117
1
07-2-023-012
1
07-2-023-329
1
07-2-062-012
1
07-2-092-001
1
07-2-092-034
1
07-2-102-047
2
07-2-202-058
1
07-3-012-072
1
07-3-021-041
1
07-3-031-011
1
07-3-072-048
1
07-3-102-003
1
07-3-102-188
1
07-3-113-012
1
07-3-122-048
1
07-3-132-010
1
07-3-142-059
1
07-3-172-120
1
07-3-182-007
1
07-3-182-025
1
07-3-192-096
1
07-3-202-031
2
07-3-212-031
1
07-3-212-077
1
07-3-212-156
1
07-3-222-021
1
07-3-222-036
1
07-3-222-040
1
07-3-231-021
1
07-3-231-041
1
08-1-011-031
1
08-1-061-033
1
08-1-081-041
1
08-1-161-071
1
08-1-183-312
1
08-1-203-318
1
08-2-131-031
1
08-2-191-014
1
08-2-241-024
1
08-3-101-022
1
08-4-013-031
1
08-4-031-032
1
08-4-041-021
1
08-4-151-024
1
08-5-013-311
1
08-5-061-021
1
08-5-081-014
1
08-6-123-021
1
09-1-033-023
1
09-1-101-033
1
09-1-111-042
1
09-1-121-011
1
09-1-121-063
1
09-1-131-073
1
09-1-161-022
1
09-2-013-012
1
09-2-051-032
1
09-2-151-022
1
09-2-161-034
1
09-2-181-051
1
09-3-012-014
1
09-3-021-072
1
09-3-111-021
1
09-3-123-319
1
09-3-203-046
1
09-3-281-042
1
09-4-071-034
1
09-4-111-022
1
09-5-012-004
1
09-5-123-032
1
10-1-033-043
1
10-1-033-307
1
10-1-033-308
1
10-1-033-325
1
10-1-193-046
1
10-2-051-061
1
10-2-071-041
1
10-2-091-032
1
10-2-113-311
1
10-2-141-051
1
10-3-133-011
1
10-3-141-023
1
10-3-183-301
1
10-3-221-023
1
10-3-371-012
1
10-5-071-044
1
10-5-091-015
1
11-1-021-052
1
11-1-121-021
1
11-2-103-041
1
11-2-121-011
1
11-2-283-031
1
11-2-283-032
1
11-3-113-306
1
11-4-013-012
1
11-4-121-034
1
11-5-031-052
1
11-5-181-014
1
11-5-193-306
1
11-6-012-009
1
11-6-023-332
1
11-6-093-306
1
11-7-061-093
1
12-1-031-022
1
12-1-073-311
1
12-1-121-012
1
12-1-183-304
1
12-2-061-083
1
12-2-081-043
1
12-3-031-011
1
12-3-151-022
1
12-4-071-041
1
12-4-251-073
1
12-4-293-021
1
12-5-143-012
1
12-5-151-033
1
12-6-061-042
1
12-6-071-052
1
12-6-163-012
1
12-7-043-014
1
12-8-113-012
1
12-8-163-302
1
13-1-021-031
1
13-1-241-013
1
13-2-161-041
1
13-3-031-022
1
13-3-173-031
1
13-4-042-026
1
13-4-121-031
1
14-1-102-042
1
14-1-151-033
1
14-2-041-021
1
14-2-081-022
1
14-2-091-021
1
14-2-241-012
1
14-3-011-043
1
14-3-161-022
1
14-4-181-011
1
14-5-053-044
1
14-5-091-033
1
14-5-101-051
1
14-6-112-015
1
14-6-171-013
1
15-1-033-194
1
15-1-223-053
1
15-1-302-052
1
15-1-302-054
1
15-2-133-012
1
15-2-191-051
1
15-2-203-023
1
15-3-013-042
1
15-3-061-011
1
15-3-123-309
1
15-4-081-052
1
16-1-013-320
1
16-1-041-022
1
16-1-051-031
1
16-1-191-013
1
16-2-021-031
1
16-2-031-025
1
16-2-041-015
1
16-2-071-014
1
16-2-181-013
1
16-2-302-013
1
16-3-031-033
1
16-3-083-306
1
16-3-111-012
1
17-1-131-011
1
17-2-011-015
1
17-2-113-044
1
17-3-021-071
1
17-3-083-033
1
17-4-013-020
1
17-4-021-071
1
17-4-211-024
1
17-4-231-012
1
17-5-063-805
1
17-6-041-033
1
17-6-151-022
1
17-7-123-011
1
17-7-133-013
1
17-8-071-051
1
17-8-101-023
1
17-8-171-011
1
18-1-051-044
1
18-1-181-031
1
18-1-271-013
1
18-2-031-032
1
18-2-141-051
1
18-2-311-022
1
18-3-051-022
1
18-3-131-061
1
18-3-311-021
1
18-4-143-072
1
18-5-051-054
1
18-5-071-053
1
18-5-141-034
1
18-6-082-011
1
18-6-111-013
1
19-1-133-056
1
19-2-013-312
1
19-2-071-042
1
19-2-251-021
1
19-2-272-012
1
19-3-022-072
1
19-4-081-043
1
19-4-201-041
1
19-5-171-011
1
19-6-041-035
1
19-6-213-044
1
19-6-281-051
1
19-7-071-051
1
19-8-032-114
1
19-8-043-320
1
19-8-061-038
1
20-1-171-052
1
20-2-011-033
1
20-3-031-023
1
20-3-241-042
1
20-4-093-389
1
20-4-201-013
1
20-5-112-003
1
21-1-101-032
1
21-1-141-023
1
21-2-091-011
1
21-3-091-031
1
21-4-023-041
1
21-4-071-032
1
21-4-083-012
1
21-4-083-322
1
21-4-083-363
1
21-5-143-031
1
51-1-013-032
1
51-1-061-012
1
51-1-071-054
1
51-1-121-023
1
51-2-011-041
1
51-2-011-043
1
51-2-103-031
1
51-2-161-012
1
51-2-221-011
1
52-1-041-013
1
52-1-081-012
1
52-1-211-013
1
52-2-022-002
1
52-2-091-999
1
53-1-023-305
1
53-1-023-312
1
53-1-071-999
1
53-1-081-073
1
53-1-163-313
1
53-1-163-318
1
53-1-163-327
1
53-1-191-011
1
53-1-222-035
1
53-1-222-045
1
53-1-233-302
1
53-1-243-309
1
53-1-283-318
1
53-2-022-004
1
53-2-062-001
1
53-2-082-002
1
53-2-102-005
1
53-2-112-003
1
53-2-112-012
1
53-2-122-012
1
53-2-152-009
1
53-2-192-008
1
53-2-202-023
1
53-2-312-001
1
53-2-332-004
1
54-1-012-002
1
54-1-031-051
1
54-1-071-044
1
54-1-111-032
1
54-1-162-014
1
54-1-172-008
1
54-2-031-022
1
54-2-051-013
1
54-2-091-042
1
54-2-131-016
1
55-1-021-031
1
55-1-041-032
1
55-1-071-054
1
55-1-132-009
1
55-1-152-005
1
55-1-161-012
1
55-1-171-023
1
55-2-012-005
1
55-2-091-022
1
55-2-133-303
1
55-2-183-302
1
Are there any farmers cooperative groups in this village?
401
0
1
2
1
Yes
141
2
No
260
How many different groups are there in the community?
141
260
1
55
How many farmers participate in these cooperatives in total?
141
260
0
999
Which of the following activities do the cooperative members do as a group? (#1)
401
0
1
2
1
Yes
73
2
No
328
Which of the following activities do the cooperative members do as a group? (#2)
401
0
1
2
1
Yes
379
2
No
22
Which of the following activities do the cooperative members do as a group? (#3)
401
0
1
2
1
Yes
26
2
No
375
Which of the following activities do the cooperative members do as a group? (#4)
401
0
1
2
1
Yes
31
2
No
370
Is it possible to buy improved maize seeds in this village?
398
3
1
2
1
Yes
144
2
No
254
Sysmiss
3
During planting time, what is the price of improved maize seed per kg here in th
144
257
0
45000
Where is the nearest supplier of improved maize seeds, outside the village? (nam
401
0
**CONFIDENTIAL**
401
Where is the nearest supplier of improved maize seeds, outside the village? (dis
395
6
0
999
During planting time, what is the price of improved maize seed per kg at this pl
395
6
0
99999
In the past 12 months, how many households have permanently migrated OUT of this
399
2
0
999
In the past 12 months, how many households have permanently migrated INTO of thi
398
3
0
999
Are there any SACCOS in this village?
401
0
1
5
1
Yes
129
2
No
271
5
1
How many members does the SACCOS have?
129
272
0
8000
Approximately, how many female members dose the SACCOS have?
128
273
0
4200
Would you say that the rains that this village had for last vuli season was:
401
0
1
5
1
Far too much
26
2
A bit too much
72
3
Neither too much not too little
116
4
A bit too little
93
5
Far too little
94
Would you say that the rains that this village had for last vuli season came:
401
0
1
5
1
Far too much
24
2
A bit too much
103
3
Neither too much not too little
86
4
A bit too little
105
5
Far too little
83
Would you say that the rains that this village had for the masika season 2012 wa
401
0
1
5
1
Far too much
36
2
A bit too much
103
3
Neither too much not too little
172
4
A bit too little
75
5
Far too little
15
Would you say that the rains that this village had for the masika season 2012 ca
401
0
1
5
1
Far too much
46
2
A bit too much
115
3
Neither too much not too little
121
4
A bit too little
108
5
Far too little
11
Do residents of this village migrate with their lifestock for all or part of the
401
0
1
2
1
Yes
64
2
No
337
Where did the residents take their livestock (DISTRICT NAME)?
401
0
**CONFIDENTIAL**
401
Where did the residents take their livestock (REGION CODE)?
61
340
1
21
1
Dodoma
7
2
Arusha
7
3
Kilimanjaro
1
4
Tanga
2
5
Morogoro
5
6
Pwani
2
7
Dar es salaam
0
8
Lindi
0
9
Mtwara
0
10
Ruvuma
0
11
Iringa
0
12
Mbeya
3
13
Singida
3
14
Tabora
9
15
Rukwa
1
16
Kigoma
1
17
Shinyanga
7
18
Kagera
2
19
Mwanza
1
20
Mara
1
21
Manyara
9
51
KASKAZINI UNGUJA
0
52
KUSINI UNGUJA
0
53
MJINI/MAGHARIBI UNGUJA
0
54
KASKAZINI PEMBA
0
55
KUSINI PEMBA
0
Sysmiss
340
Where did the residents take their livestock (DISTRICT CODE)?
60
341
1
7
1
16
2
4
3
11
4
13
5
7
6
7
7
2
Sysmiss
341
During which months did the people travel outside the village with their livesto
12
0
1
1
J
1
X
10
During which months did the people travel outside the village with their livesto
12
0
F
1
X
11
During which months did the people travel outside the village with their livesto
9
0
X
9
During which months did the people travel outside the village with their livesto
11
0
X
11
During which months did the people travel outside the village with their livesto
11
0
X
11
During which months did the people travel outside the village with their livesto
12
0
1
1
X
11
During which months did the people travel outside the village with their livesto
21
0
1
1
X
20
During which months did the people travel outside the village with their livesto
26
0
1
1
X
25
During which months did the people travel outside the village with their livesto
24
0
1
1
X
23
During which months did the people travel outside the village with their livesto
26
0
1
2
X
24
During which months did the people travel outside the village with their livesto
18
0
1
1
X
17
During which months did the people travel outside the village with their livesto
17
0
1
1
D
1
X
15
Do people today migrate more frequently, less frequently, or about the same?
61
340
1
3
1
More frequently
28
2
Less frequently
31
3
About the same
2
Sysmiss
340
Region
20852
0
1
55
1
Dodoma
572
2
Arusha
676
3
Kilimanjaro
676
4
Tanga
728
5
Morogoro
728
6
Pwani
416
7
Dar es Salaam
3432
8
Lindi
936
9
Mtwara
1144
10
Ruvuma
884
11
Iringa
832
12
Mbeya
988
13
Singida
364
14
Tabora
728
15
Rukwa
572
16
Kigoma
676
17
Shinyanga
884
18
Kagera
780
19
Mwanza
832
20
Mara
364
21
Manyara
520
51
Kaskazini Unguja
468
52
Kusini Unguja
208
53
Mjini Magharibi
1352
54
Kaskazini Pemba
520
55
Kusini Pemba
572
District
20852
0
1
8
1
6292
2
4784
3
3744
4
2080
5
2080
6
1196
7
312
8
364
Ward
20852
0
11
381
Enumeration Area
20852
0
1
454
Y3 Cluster ID
20852
0
01-1-141-022
52
01-2-031-032
52
01-2-061-011
52
01-3-133-011
52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
02-4-121-013
52
02-5-021-071
52
02-5-103-012
52
03-1-061-031
52
03-1-121-021
52
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52
03-2-073-301
52
03-2-101-032
52
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52
03-3-233-307
52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
06-5-123-303
52
06-6-071-021
52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
07-1-133-021
52
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52
07-1-163-455
52
07-1-183-033
52
07-1-183-041
52
07-1-192-011
52
07-1-192-072
52
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52
07-1-222-027
52
07-1-232-064
52
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52
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52
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52
07-2-012-117
52
07-2-023-012
52
07-2-023-329
52
07-2-062-012
52
07-2-092-001
52
07-2-092-034
52
07-2-102-047
104
07-2-202-058
52
07-3-012-072
52
07-3-021-041
52
07-3-031-011
52
07-3-072-048
52
07-3-102-003
52
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52
07-3-113-012
52
07-3-122-048
52
07-3-132-010
52
07-3-142-059
52
07-3-172-120
52
07-3-182-007
52
07-3-182-025
52
07-3-192-096
52
07-3-202-031
104
07-3-212-031
52
07-3-212-077
52
07-3-212-156
52
07-3-222-021
52
07-3-222-036
52
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52
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52
07-3-231-041
52
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52
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52
08-1-081-041
52
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52
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52
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52
08-2-131-031
52
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52
08-2-241-024
52
08-3-101-022
52
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52
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52
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52
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52
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52
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52
08-5-081-014
52
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52
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52
09-1-101-033
52
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52
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52
09-1-121-063
52
09-1-131-073
52
09-1-161-022
52
09-2-013-012
52
09-2-051-032
52
09-2-151-022
52
09-2-161-034
52
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52
09-3-012-014
52
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52
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52
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52
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52
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52
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52
09-4-111-022
52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
11-1-121-021
52
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52
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52
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52
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52
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52
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52
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52
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52
11-5-181-014
52
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52
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52
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52
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52
11-7-061-093
52
12-1-031-022
52
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52
12-1-121-012
52
12-1-183-304
52
12-2-061-083
52
12-2-081-043
52
12-3-031-011
52
12-3-151-022
52
12-4-071-041
52
12-4-251-073
52
12-4-293-021
52
12-5-143-012
52
12-5-151-033
52
12-6-061-042
52
12-6-071-052
52
12-6-163-012
52
12-7-043-014
52
12-8-113-012
52
12-8-163-302
52
13-1-021-031
52
13-1-241-013
52
13-2-161-041
52
13-3-031-022
52
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52
13-4-042-026
52
13-4-121-031
52
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52
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52
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52
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52
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52
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52
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52
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52
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52
14-5-053-044
52
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52
14-5-101-051
52
14-6-112-015
52
14-6-171-013
52
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52
15-1-223-053
52
15-1-302-052
52
15-1-302-054
52
15-2-133-012
52
15-2-191-051
52
15-2-203-023
52
15-3-013-042
52
15-3-061-011
52
15-3-123-309
52
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52
16-1-013-320
52
16-1-041-022
52
16-1-051-031
52
16-1-191-013
52
16-2-021-031
52
16-2-031-025
52
16-2-041-015
52
16-2-071-014
52
16-2-181-013
52
16-2-302-013
52
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52
16-3-083-306
52
16-3-111-012
52
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52
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52
17-2-113-044
52
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52
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52
17-4-013-020
52
17-4-021-071
52
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52
17-4-231-012
52
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52
17-6-041-033
52
17-6-151-022
52
17-7-123-011
52
17-7-133-013
52
17-8-071-051
52
17-8-101-023
52
17-8-171-011
52
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52
18-1-181-031
52
18-1-271-013
52
18-2-031-032
52
18-2-141-051
52
18-2-311-022
52
18-3-051-022
52
18-3-131-061
52
18-3-311-021
52
18-4-143-072
52
18-5-051-054
52
18-5-071-053
52
18-5-141-034
52
18-6-082-011
52
18-6-111-013
52
19-1-133-056
52
19-2-013-312
52
19-2-071-042
52
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52
19-2-272-012
52
19-3-022-072
52
19-4-081-043
52
19-4-201-041
52
19-5-171-011
52
19-6-041-035
52
19-6-213-044
52
19-6-281-051
52
19-7-071-051
52
19-8-032-114
52
19-8-043-320
52
19-8-061-038
52
20-1-171-052
52
20-2-011-033
52
20-3-031-023
52
20-3-241-042
52
20-4-093-389
52
20-4-201-013
52
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52
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52
21-1-141-023
52
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52
21-3-091-031
52
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52
21-4-071-032
52
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52
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52
21-4-083-363
52
21-5-143-031
52
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52
51-1-061-012
52
51-1-071-054
52
51-1-121-023
52
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52
51-2-011-043
52
51-2-103-031
52
51-2-161-012
52
51-2-221-011
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52-1-041-013
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52-1-081-012
52
52-1-211-013
52
52-2-022-002
52
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52
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52
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52
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52
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52
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52
53-1-163-318
52
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52
53-1-191-011
52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
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52
53-2-122-012
52
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52
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52
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52
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52
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52
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52
54-1-031-051
52
54-1-071-044
52
54-1-111-032
52
54-1-162-014
52
54-1-172-008
52
54-2-031-022
52
54-2-051-013
52
54-2-091-042
52
54-2-131-016
52
55-1-021-031
52
55-1-041-032
52
55-1-071-054
52
55-1-132-009
52
55-1-152-005
52
55-1-161-012
52
55-1-171-023
52
55-2-012-005
52
55-2-091-022
52
55-2-133-303
52
55-2-183-302
52
Item ID
20852
0
0201
401
0207
401
0208
401
1001
401
1003
401
101
401
102
401
103
401
104
401
105
401
106
802
107
401
108
401
109
401
110
401
1101
401
1107
401
2001
401
2002
401
2003
401
2004
401
201
401
202
802
203
401
204
802
205
401
206
401
301
401
401
802
501
401
502
401
601
1203
602
802
701
401
702
401
703
802
801
401
802
401
804
401
807
401
808
802
901
401
903
401
Item Name
20852
0
Batteries
401
Beans
401
Beef
401
Bread
401
Buns
401
Cabbage
401
Canned milk/powder
401
Carrot
401
Casava (dry)
401
Casava flour
401
Casava fresh
401
Charcoal
401
Chicken (live)
401
Cigarettes
401
Citrus fruits
401
Coconuts
401
Cocoyams
401
Cooking bananas
401
Cooking oil
401
Dagaa
401
Eggs
401
Firewood
401
Fresh fish
401
Fresh milk
401
Goat meat
401
Groundnuts
401
Irish potatoes
401
Kerosine
401
Local brews
401
Maize (flour)
401
Maize (grain)
401
Maize (green, cob)
401
Maize grinding costs
401
Mangoes
401
Matches
401
Millet (flour)
401
Millet (grain)
401
Onions
401
Papaya
401
Peas
401
Rice (husked)
401
Rice (paddy)
401
Ripe bananas
401
Salt
401
Sorghum (flour)
401
Sorghum (grain)
401
Spinach
401
Sugar
401
Sweet potatoes
401
Tea (dry)
401
Tomatoes
401
Yams
401
Item Measurement
12203
8649
1
5
1
Kilograms
4689
2
Grams
4756
3
Litre
869
4
Millilitre
300
5
Pieces
1589
Sysmiss
8649
Item Weight
13834
7018
0
22800
Item Price
13179
7673
0
130000
Item Measurement (District Capital)
4076
16776
1
5
1
Kilograms
1762
2
Grams
1544
3
Litre
279
4
Millilitre
34
5
Pieces
457
Sysmiss
16776
Item Weight (District Capital)
4368
16484
0
10000
Item Price (District Capital)
4687
16165
0
150000
Region
401
0
1
55
1
Dodoma
11
2
Arusha
13
3
Kilimanjaro
13
4
Tanga
14
5
Morogoro
14
6
Pwani
8
7
Dar es Salaam
66
8
Lindi
18
9
Mtwara
22
10
Ruvuma
17
11
Iringa
16
12
Mbeya
19
13
Singida
7
14
Tabora
14
15
Rukwa
11
16
Kigoma
13
17
Shinyanga
17
18
Kagera
15
19
Mwanza
16
20
Mara
7
21
Manyara
10
51
Kaskazini Unguja
9
52
Kusini Unguja
4
53
Mjini Magharibi
26
54
Kaskazini Pemba
10
55
Kusini Pemba
11
District
401
0
1
8
1
121
2
92
3
72
4
40
5
40
6
23
7
6
8
7
Ward
401
0
11
381
Enumeration Area
401
0
1
454
Y3 Cluster ID
401
0
01-1-141-022
1
01-2-031-032
1
01-2-061-011
1
01-3-133-011
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01-3-133-042
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01-4-311-011
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01-4-381-031
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1
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1
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1
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1
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1
07-1-112-100
1
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1
07-1-133-021
1
07-1-163-357
1
07-1-163-455
1
07-1-183-033
1
07-1-183-041
1
07-1-192-011
1
07-1-192-072
1
07-1-212-022
1
07-1-222-027
1
07-1-232-064
1
07-1-232-067
1
07-1-242-036
1
07-1-272-063
1
07-2-012-117
1
07-2-023-012
1
07-2-023-329
1
07-2-062-012
1
07-2-092-001
1
07-2-092-034
1
07-2-102-047
2
07-2-202-058
1
07-3-012-072
1
07-3-021-041
1
07-3-031-011
1
07-3-072-048
1
07-3-102-003
1
07-3-102-188
1
07-3-113-012
1
07-3-122-048
1
07-3-132-010
1
07-3-142-059
1
07-3-172-120
1
07-3-182-007
1
07-3-182-025
1
07-3-192-096
1
07-3-202-031
2
07-3-212-031
1
07-3-212-077
1
07-3-212-156
1
07-3-222-021
1
07-3-222-036
1
07-3-222-040
1
07-3-231-021
1
07-3-231-041
1
08-1-011-031
1
08-1-061-033
1
08-1-081-041
1
08-1-161-071
1
08-1-183-312
1
08-1-203-318
1
08-2-131-031
1
08-2-191-014
1
08-2-241-024
1
08-3-101-022
1
08-4-013-031
1
08-4-031-032
1
08-4-041-021
1
08-4-151-024
1
08-5-013-311
1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
09-3-111-021
1
09-3-123-319
1
09-3-203-046
1
09-3-281-042
1
09-4-071-034
1
09-4-111-022
1
09-5-012-004
1
09-5-123-032
1
10-1-033-043
1
10-1-033-307
1
10-1-033-308
1
10-1-033-325
1
10-1-193-046
1
10-2-051-061
1
10-2-071-041
1
10-2-091-032
1
10-2-113-311
1
10-2-141-051
1
10-3-133-011
1
10-3-141-023
1
10-3-183-301
1
10-3-221-023
1
10-3-371-012
1
10-5-071-044
1
10-5-091-015
1
11-1-021-052
1
11-1-121-021
1
11-2-103-041
1
11-2-121-011
1
11-2-283-031
1
11-2-283-032
1
11-3-113-306
1
11-4-013-012
1
11-4-121-034
1
11-5-031-052
1
11-5-181-014
1
11-5-193-306
1
11-6-012-009
1
11-6-023-332
1
11-6-093-306
1
11-7-061-093
1
12-1-031-022
1
12-1-073-311
1
12-1-121-012
1
12-1-183-304
1
12-2-061-083
1
12-2-081-043
1
12-3-031-011
1
12-3-151-022
1
12-4-071-041
1
12-4-251-073
1
12-4-293-021
1
12-5-143-012
1
12-5-151-033
1
12-6-061-042
1
12-6-071-052
1
12-6-163-012
1
12-7-043-014
1
12-8-113-012
1
12-8-163-302
1
13-1-021-031
1
13-1-241-013
1
13-2-161-041
1
13-3-031-022
1
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1
13-4-042-026
1
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1
14-1-102-042
1
14-1-151-033
1
14-2-041-021
1
14-2-081-022
1
14-2-091-021
1
14-2-241-012
1
14-3-011-043
1
14-3-161-022
1
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1
14-5-053-044
1
14-5-091-033
1
14-5-101-051
1
14-6-112-015
1
14-6-171-013
1
15-1-033-194
1
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1
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1
15-1-302-054
1
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1
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1
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1
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1
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1
15-3-123-309
1
15-4-081-052
1
16-1-013-320
1
16-1-041-022
1
16-1-051-031
1
16-1-191-013
1
16-2-021-031
1
16-2-031-025
1
16-2-041-015
1
16-2-071-014
1
16-2-181-013
1
16-2-302-013
1
16-3-031-033
1
16-3-083-306
1
16-3-111-012
1
17-1-131-011
1
17-2-011-015
1
17-2-113-044
1
17-3-021-071
1
17-3-083-033
1
17-4-013-020
1
17-4-021-071
1
17-4-211-024
1
17-4-231-012
1
17-5-063-805
1
17-6-041-033
1
17-6-151-022
1
17-7-123-011
1
17-7-133-013
1
17-8-071-051
1
17-8-101-023
1
17-8-171-011
1
18-1-051-044
1
18-1-181-031
1
18-1-271-013
1
18-2-031-032
1
18-2-141-051
1
18-2-311-022
1
18-3-051-022
1
18-3-131-061
1
18-3-311-021
1
18-4-143-072
1
18-5-051-054
1
18-5-071-053
1
18-5-141-034
1
18-6-082-011
1
18-6-111-013
1
19-1-133-056
1
19-2-013-312
1
19-2-071-042
1
19-2-251-021
1
19-2-272-012
1
19-3-022-072
1
19-4-081-043
1
19-4-201-041
1
19-5-171-011
1
19-6-041-035
1
19-6-213-044
1
19-6-281-051
1
19-7-071-051
1
19-8-032-114
1
19-8-043-320
1
19-8-061-038
1
20-1-171-052
1
20-2-011-033
1
20-3-031-023
1
20-3-241-042
1
20-4-093-389
1
20-4-201-013
1
20-5-112-003
1
21-1-101-032
1
21-1-141-023
1
21-2-091-011
1
21-3-091-031
1
21-4-023-041
1
21-4-071-032
1
21-4-083-012
1
21-4-083-322
1
21-4-083-363
1
21-5-143-031
1
51-1-013-032
1
51-1-061-012
1
51-1-071-054
1
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1
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1
51-2-011-043
1
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1
51-2-161-012
1
51-2-221-011
1
52-1-041-013
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1
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1
52-2-022-002
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52-2-091-999
1
53-1-023-305
1
53-1-023-312
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1
53-1-163-318
1
53-1-163-327
1
53-1-191-011
1
53-1-222-035
1
53-1-222-045
1
53-1-233-302
1
53-1-243-309
1
53-1-283-318
1
53-2-022-004
1
53-2-062-001
1
53-2-082-002
1
53-2-102-005
1
53-2-112-003
1
53-2-112-012
1
53-2-122-012
1
53-2-152-009
1
53-2-192-008
1
53-2-202-023
1
53-2-312-001
1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
55-1-132-009
1
55-1-152-005
1
55-1-161-012
1
55-1-171-023
1
55-2-012-005
1
55-2-091-022
1
55-2-133-303
1
55-2-183-302
1
District Capital - Region
227
174
1
55
1
Dodoma
6
2
Arusha
1
3
Kilimanjaro
0
4
Tanga
1
5
Morogoro
8
6
Pwani
2
7
Dar es Salaam
40
8
Lindi
10
9
Mtwara
16
10
Ruvuma
13
11
Iringa
9
12
Mbeya
10
13
Singida
4
14
Tabora
8
15
Rukwa
8
16
Kigoma
10
17
Shinyanga
10
18
Kagera
10
19
Mwanza
9
20
Mara
0
21
Manyara
2
51
Kaskazini Unguja
7
52
Kusini Unguja
2
53
Mjini Magharibi
24
54
Kaskazini Pemba
8
55
Kusini Pemba
9
Sysmiss
174
District Capital - District
227
174
1
8
1
79
2
56
3
36
4
13
5
24
6
13
7
2
8
4
Sysmiss
174
District Capital - Ward
225
176
11
371
District Capital - EA
224
177
1
350
Source of Village prices
381
20
1
3
1
Market place
130
2
Shops/Stalls
238
3
Other
13
Sysmiss
20
GPS -1 Latitude (south) Grades 1-12
401
0
**CONFIDENTIAL**
401
GPS -2 Latitude (south) Grades 1-12
401
0
**CONFIDENTIAL**
401
GPS -1 Latitude (south) Minutes 0 - 60
401
0
**CONFIDENTIAL**
401
GPS -2 Latitude (south) Minutes 0 - 60
401
0
**CONFIDENTIAL**
401
GPS -1 Latitude (south) Secondes 0.000 - 60.000
401
0
**CONFIDENTIAL**
401
GPS -2 Latitude (south) Secondes 0.000 - 60.000
401
0
**CONFIDENTIAL**
401
Source of District Capital prices
100
301
1
2
1
Market Place
92
2
Shops/Stalls
8
3
Other
0
Sysmiss
301
GPS -1 Longitude (East) Grades 29-41
401
0
**CONFIDENTIAL**
401
GPS -2 Longitude (East) Grades 29-41
401
0
**CONFIDENTIAL**
401
GPS -1 Longitude (East) Minutes 0 - 60
401
0
**CONFIDENTIAL**
401
GPS -2 Longitude (East) Minutes 0 - 60
401
0
**CONFIDENTIAL**
401
GPS -1 Longitude (East) Secondes 0.000 - 60.000
401
0
**CONFIDENTIAL**
401
GPS -2 Longitude (East) Secondes 0.000 - 60.000
401
0
**CONFIDENTIAL**
401
Region
9624
0
1
55
1
Dodoma
264
2
Arusha
312
3
Kilimanjaro
312
4
Tanga
336
5
Morogoro
336
6
Pwani
192
7
Dar es Salaam
1584
8
Lindi
432
9
Mtwara
528
10
Ruvuma
408
11
Iringa
384
12
Mbeya
456
13
Singida
168
14
Tabora
336
15
Rukwa
264
16
Kigoma
312
17
Shinyanga
408
18
Kagera
360
19
Mwanza
384
20
Mara
168
21
Manyara
240
51
Kaskazini Unguja
216
52
Kusini Unguja
96
53
Mjini Magharibi
624
54
Kaskazini Pemba
240
55
Kusini Pemba
264
District
9624
0
1
8
1
2904
2
2208
3
1728
4
960
5
960
6
552
7
144
8
168
Ward
9624
0
11
381
Enumeration Area
9624
0
1
454
Y3 Cluster ID
9624
0
01-1-141-022
24
01-2-031-032
24
01-2-061-011
24
01-3-133-011
24
01-3-133-042
24
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24
01-4-311-011
24
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24
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24
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24
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24
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24
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24
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24
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24
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24
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24
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24
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24
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24
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24
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24
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24
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24
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24
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24
03-1-121-021
24
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24
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24
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24
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24
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24
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24
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24
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24
03-5-041-015
24
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24
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24
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24
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24
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24
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24
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24
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24
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24
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24
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24
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24
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24
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24
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24
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24
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24
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24
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24
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24
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24
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24
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24
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24
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24
05-5-193-308
24
05-6-083-032
24
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24
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24
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24
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24
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24
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24
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24
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24
06-5-123-303
24
06-6-071-021
24
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24
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24
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24
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24
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24
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24
07-1-062-104
24
07-1-072-028
24
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24
07-1-082-005
24
07-1-082-043
24
07-1-092-004
24
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24
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24
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24
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24
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24
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24
07-1-112-100
24
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24
07-1-133-021
24
07-1-163-357
24
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24
07-1-183-033
24
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24
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24
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24
07-1-212-022
24
07-1-222-027
24
07-1-232-064
24
07-1-232-067
24
07-1-242-036
24
07-1-272-063
24
07-2-012-117
24
07-2-023-012
24
07-2-023-329
24
07-2-062-012
24
07-2-092-001
24
07-2-092-034
24
07-2-102-047
48
07-2-202-058
24
07-3-012-072
24
07-3-021-041
24
07-3-031-011
24
07-3-072-048
24
07-3-102-003
24
07-3-102-188
24
07-3-113-012
24
07-3-122-048
24
07-3-132-010
24
07-3-142-059
24
07-3-172-120
24
07-3-182-007
24
07-3-182-025
24
07-3-192-096
24
07-3-202-031
48
07-3-212-031
24
07-3-212-077
24
07-3-212-156
24
07-3-222-021
24
07-3-222-036
24
07-3-222-040
24
07-3-231-021
24
07-3-231-041
24
08-1-011-031
24
08-1-061-033
24
08-1-081-041
24
08-1-161-071
24
08-1-183-312
24
08-1-203-318
24
08-2-131-031
24
08-2-191-014
24
08-2-241-024
24
08-3-101-022
24
08-4-013-031
24
08-4-031-032
24
08-4-041-021
24
08-4-151-024
24
08-5-013-311
24
08-5-061-021
24
08-5-081-014
24
08-6-123-021
24
09-1-033-023
24
09-1-101-033
24
09-1-111-042
24
09-1-121-011
24
09-1-121-063
24
09-1-131-073
24
09-1-161-022
24
09-2-013-012
24
09-2-051-032
24
09-2-151-022
24
09-2-161-034
24
09-2-181-051
24
09-3-012-014
24
09-3-021-072
24
09-3-111-021
24
09-3-123-319
24
09-3-203-046
24
09-3-281-042
24
09-4-071-034
24
09-4-111-022
24
09-5-012-004
24
09-5-123-032
24
10-1-033-043
24
10-1-033-307
24
10-1-033-308
24
10-1-033-325
24
10-1-193-046
24
10-2-051-061
24
10-2-071-041
24
10-2-091-032
24
10-2-113-311
24
10-2-141-051
24
10-3-133-011
24
10-3-141-023
24
10-3-183-301
24
10-3-221-023
24
10-3-371-012
24
10-5-071-044
24
10-5-091-015
24
11-1-021-052
24
11-1-121-021
24
11-2-103-041
24
11-2-121-011
24
11-2-283-031
24
11-2-283-032
24
11-3-113-306
24
11-4-013-012
24
11-4-121-034
24
11-5-031-052
24
11-5-181-014
24
11-5-193-306
24
11-6-012-009
24
11-6-023-332
24
11-6-093-306
24
11-7-061-093
24
12-1-031-022
24
12-1-073-311
24
12-1-121-012
24
12-1-183-304
24
12-2-061-083
24
12-2-081-043
24
12-3-031-011
24
12-3-151-022
24
12-4-071-041
24
12-4-251-073
24
12-4-293-021
24
12-5-143-012
24
12-5-151-033
24
12-6-061-042
24
12-6-071-052
24
12-6-163-012
24
12-7-043-014
24
12-8-113-012
24
12-8-163-302
24
13-1-021-031
24
13-1-241-013
24
13-2-161-041
24
13-3-031-022
24
13-3-173-031
24
13-4-042-026
24
13-4-121-031
24
14-1-102-042
24
14-1-151-033
24
14-2-041-021
24
14-2-081-022
24
14-2-091-021
24
14-2-241-012
24
14-3-011-043
24
14-3-161-022
24
14-4-181-011
24
14-5-053-044
24
14-5-091-033
24
14-5-101-051
24
14-6-112-015
24
14-6-171-013
24
15-1-033-194
24
15-1-223-053
24
15-1-302-052
24
15-1-302-054
24
15-2-133-012
24
15-2-191-051
24
15-2-203-023
24
15-3-013-042
24
15-3-061-011
24
15-3-123-309
24
15-4-081-052
24
16-1-013-320
24
16-1-041-022
24
16-1-051-031
24
16-1-191-013
24
16-2-021-031
24
16-2-031-025
24
16-2-041-015
24
16-2-071-014
24
16-2-181-013
24
16-2-302-013
24
16-3-031-033
24
16-3-083-306
24
16-3-111-012
24
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24
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24
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24
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24
17-3-083-033
24
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24
17-4-021-071
24
17-4-211-024
24
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24
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24
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24
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24
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24
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24
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24
17-8-101-023
24
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24
18-1-051-044
24
18-1-181-031
24
18-1-271-013
24
18-2-031-032
24
18-2-141-051
24
18-2-311-022
24
18-3-051-022
24
18-3-131-061
24
18-3-311-021
24
18-4-143-072
24
18-5-051-054
24
18-5-071-053
24
18-5-141-034
24
18-6-082-011
24
18-6-111-013
24
19-1-133-056
24
19-2-013-312
24
19-2-071-042
24
19-2-251-021
24
19-2-272-012
24
19-3-022-072
24
19-4-081-043
24
19-4-201-041
24
19-5-171-011
24
19-6-041-035
24
19-6-213-044
24
19-6-281-051
24
19-7-071-051
24
19-8-032-114
24
19-8-043-320
24
19-8-061-038
24
20-1-171-052
24
20-2-011-033
24
20-3-031-023
24
20-3-241-042
24
20-4-093-389
24
20-4-201-013
24
20-5-112-003
24
21-1-101-032
24
21-1-141-023
24
21-2-091-011
24
21-3-091-031
24
21-4-023-041
24
21-4-071-032
24
21-4-083-012
24
21-4-083-322
24
21-4-083-363
24
21-5-143-031
24
51-1-013-032
24
51-1-061-012
24
51-1-071-054
24
51-1-121-023
24
51-2-011-041
24
51-2-011-043
24
51-2-103-031
24
51-2-161-012
24
51-2-221-011
24
52-1-041-013
24
52-1-081-012
24
52-1-211-013
24
52-2-022-002
24
52-2-091-999
24
53-1-023-305
24
53-1-023-312
24
53-1-071-999
24
53-1-081-073
24
53-1-163-313
24
53-1-163-318
24
53-1-163-327
24
53-1-191-011
24
53-1-222-035
24
53-1-222-045
24
53-1-233-302
24
53-1-243-309
24
53-1-283-318
24
53-2-022-004
24
53-2-062-001
24
53-2-082-002
24
53-2-102-005
24
53-2-112-003
24
53-2-112-012
24
53-2-122-012
24
53-2-152-009
24
53-2-192-008
24
53-2-202-023
24
53-2-312-001
24
53-2-332-004
24
54-1-012-002
24
54-1-031-051
24
54-1-071-044
24
54-1-111-032
24
54-1-162-014
24
54-1-172-008
24
54-2-031-022
24
54-2-051-013
24
54-2-091-042
24
54-2-131-016
24
55-1-021-031
24
55-1-041-032
24
55-1-071-054
24
55-1-132-009
24
55-1-152-005
24
55-1-161-012
24
55-1-171-023
24
55-2-012-005
24
55-2-091-022
24
55-2-133-303
24
55-2-183-302
24
Local units codes
8942
682
102
2005
Item Name
9624
0
Casava fresh
1203
Cooking Oil
1203
Cooking bananas
1203
Irish potatoes
1203
Maize (grain)
1203
Millet flour
1203
Rice (husked)
1203
Sorghum (flour)
1203
Local Unit number
9624
0
1
3
1
3208
2
3208
3
3208
Local unit in the village
860
0
.
1
AMBONI
7
BAKULI
20
BATOLI
1
BP(KOPO)
1
CHANA
2
CHANE
1
CHANYA
2
CHUPA
56
CHUPA KONYAGI
1
CHUPA UHAI
1
CHUPA YA MAJI
1
CHUPA YA SODA
2
DEBE
189
DUMLA
6
DUMU
2
FANTA
37
FUNGU
37
FUNGU 1
8
GALLON
26
GALON
1
GALONI
2
GOLLON
1
GUNIA
51
JUNGU
1
KANGOMBA
1
KAPO
1
KDBM
1
KIBABA
36
KIBABA 1
2
KICHANE
17
KIDELI
1
KIDUM
2
KIDUMU
9
KIGALONI
1
KIJIKO
1
KIKOMBE
2
KIKOPO
2
KIKOROBOI
1
KILO
1
KIMBO
3
KIMJALI
1
KIPANDE
2
KIROBA
3
KISADO
24
KITINI
2
KOLONTO
2
KOMETI
1
KOMITI
3
KOPO
18
KOROBOI
26
KOTA
1
LITA
18
LITA(KASUKU)
2
LOBA
5
MAFUNGU
28
MFUKO
1
MIHOGO
1
MJALI
4
MJARI
1
MKUNGA
1
MKUNGU
36
MPUNGA
1
NDONYA
6
NDOO
24
NDOO KUBWA
5
NDOO NDOGO
4
NUSU CHUPA
1
NUSU NDOO
1
OMBONI
1
ORANGE
3
PEPSI
16
PISHI
2
PLASTIC
11
PLASTIC KUBWA
1
POLO
1
SADO
34
SADOLINI
7
SANDOLINI
17
SAOLIN
1
SODA
1
TENGA
2
TUTA
1
UNGO
1
YAGI
1
WEIGHT (IN KGS) in the village
906
8718
0
144
Price in the village
855
8769
100
300000
Local Unit in the District Capital
280
0
1KG
1
1LT
1
BAKULI
6
BATOLI
1
CHIPS
1
CHUPA
22
CHUPA 1
1
DEBE
51
FANTA
5
FUNGU
21
FUNGU 1
2
GALLON
13
GUNIA
14
JUNGU
1
KANGOMBA
1
KIBABA
18
KICHANE
14
KIDOLE
1
KIDUMU
4
KIGALONI
1
KIROBA
1
KISADO
2
KOMENTI
1
KOPO
12
KOROBOI
6
LITA
2
MAFUNGU
14
MJALI
1
MJARI
1
MKUNGU
17
NDIZI 3
1
NDONYA
2
NDOO
7
NDOO NDOGO
1
PEPSI
1
PISHI
1
PLASTIC
2
POLO
1
SADO
11
SADO 1
1
SADOLINI
15
TENGA
1
Weight (KG) in the District Capital
318
9306
0
120
Price in the District Capital
280
9344
80
108000
Unique Household Identification NPS Y3
4883
0
Food and non-alcoholic beverages: inside and outside, annual, nominal
4883
0
115375
31451828
Alcohol and tobacco: inside and outside, annual, nominal
4883
0
0
8684000
Food, beverages, alcohol and tobacco: inside, annual, nominal
4883
0
0
27872000
Food, beverages, alcohol and tobacco: outside, annual, nominal
4883
0
0
23098400
Utilities: water, kerosene, lighting, annual, nominal
4883
0
0
3226400
Furnishings and household expenses, annual, nominal
4883
0
0
3138000
Health, annual, nominal
4883
0
0
16254500
Transportation, annual, nominal
4883
0
0
7800000
Communications, annual, nominal
4883
0
0
4500000
Recreation, annual, nominal
4883
0
0
600000
Education, annual, nominal
4883
0
0
11934400
Other consumption, annual, nominal
4883
0
0
2467920
Total consumption, annual, nominal
4883
0
130325
54628720
Fisher, base NPS3, comparison NPS3 by area and quarter
4883
0
0.875
1.173
Food and non-alcoholic beverages: inside and outside, annual, real
4883
0
121727.844
29000160
Alcohol and tobacco: inside and outside, annual, real
4883
0
0
9162164
Food, beverages, alcohol and tobacco: inside, annual, real
4883
0
0
27956990
Food, beverages, alcohol and tobacco: outside, annual, real
4883
0
0
20482530
Utilities: water, kerosene, lighting, annual, real
4883
0
0
2861013.5
Furnishings and household expenses, annual, real
4883
0
0
3320926.75
Health, annual, real
4883
0
0
14533966
Transportation, annual, real
4883
0
0
7594318
Communications, annual, real
4883
0
0
3834731.5
Recreation, annual, real
4883
0
0
606188.063
Education, annual, real
4883
0
0
10671148
Other consumption, annual, real
4883
0
0
2419818.25
Total consumption, annual, real
4883
0
137501.031
46552548
Household size
4883
0
1
54
Adult-equivalents in the household
4883
0
0.72
39.8
Urban or rural areas
4883
0
1
2
1
Rural
3154
2
Urban
1729
Region
4883
0
1
55
1
Dodoma
138
2
Arusha
149
3
Kilimanjaro
130
4
Tanga
163
5
Morogoro
188
6
Pwani
117
7
Dar es Salaam
742
8
Lindi
218
9
Mtwara
319
10
Ruvuma
191
11
Iringa
156
12
Mbeya
211
13
Singida
87
14
Tabora
227
15
Rukwa
110
16
Kigoma
172
17
Shinyanga
277
18
Kagera
216
19
Mwanza
304
20
Mara
85
21
Manyara
94
51
Kaskazini Unguja
89
52
Kusini Unguja
50
53
Mjini/Magharibi Unguja
241
54
Kaskazini Pemba
103
55
Kusini Pemba
106
Area
4883
0
1
4
1
Dar es Salaam
742
2
Rest of urban
850
3
Rural
2702
4
Zanzibar
589
Mainland or Zanzibar
4883
0
1
2
1
Mainland
4294
2
Zanzibar
589
Quarter of fieldwork
4883
0
1
4
1
Oct-Dec 2012
1413
2
Jan-Mar 2013
1086
3
Apr-Jun 2013
1212
4
Jul-Sep 2013
1172
Case Section Roster / Line Occurrence Sequence for O/S Merge
4845
0
1
1
1
4845
Unique Household Identification NPS Y3
4845
0
Ask respondent for a teaspoonful of salt.
4843
2
1
5
1
0 PPM (NO IODINE)
1169
2
BELOW 15 PPM
662
3
15 PPM AND ABOVE
2733
4
NO SALT IN HH
233
5
SALT NOT TESTED, SPECIFY REASON
46
Sysmiss
2
Over the past one week (7 days), did any people that you did not list as househo
4844
1
1
2
1
YES
1673
2
NO
3171
Sysmiss
1
Over the past 12 months, has anyone in your household operated any non-agricultu
4844
1
1
2
1
YES
2223
2
NO
2621
Sysmiss
1
ENUMERATOR: CHECK MODULE E (LABOUR): DID ANY MEMBER REPORT YES TO QUESTIONS 3C O
2623
2222
1
2
1
YES
11
2
NO
2612
Sysmiss
2222
Is anyone in the household a member of a credit or savings group (SACCOS)?
4845
0
1
2
1
YES
256
2
NO
4589
Over the past 12 months, did you or anyone else in this household borrow from so
4845
0
1
2
1
YES
553
2
NO
4292
Over the past 2 years, did any member of your household die, including any infan
4845
0
1
2
1
YES
314
2
NO
4531
Did you or anyone in this household own or cultivate any plots in the long rainy
3241
1604
1
2
1
YES
3212
2
NO
29
Sysmiss
1604
What year was the last completed short rainy season?
3242
1603
1
2
1
SHORT RAINY SEASON 2011
2085
2
SHORT RAINY SEASON 2012
1157
Sysmiss
1603
In addition to the plots above, did you or anyone in your household own or culti
3242
1603
1
2
1
YES
24
2
NO
3218
Sysmiss
1603
Has your household ever received an input vouchers?
3235
1610
1
2
1
YES
220
2
NO
3015
Sysmiss
1610
In what year did your household start receiving input vouchers?
220
4625
1999
2013
1999
1
2000
1
2003
1
2006
1
2007
4
2008
4
2009
12
2010
61
2011
64
2012
67
2013
4
Sysmiss
4625
Did you culitivate any crops, permanent crop or fruit trees as part of an outgro
3235
1610
1
2
1
YES
66
2
NO
3169
Sysmiss
1610
LAST COMPLETED SHORT RAINY SEASON (2011 / 2012)
30
4815
2011
2012
2011
2011 - LAST COMPLETED SHORT RAINY SEASON
25
2012
2012 - LAST COMPLETED SHORT RAINY SEASON
5
Sysmiss
4815
Did the household process any of the products harvested on the farm in the last
3235
1610
1
2
1
YES
2562
2
NO
673
Sysmiss
1610
REFER TO PAGE 2 Q23; DID ANYONE IN THE HOUSEHOLD ENGAGE IN FISHING, FISH TRADING
2113
2732
1
2
1
YES
127
2
NO
1986
Sysmiss
2732
During the last 12 months, how many of these months did you , or someone in your
247
4598
0
12
0
1
1
10
2
19
3
16
4
13
5
11
6
18
7
6
8
7
9
9
10
12
11
6
12
119
Sysmiss
4598
Have you, or anyone in your household, caught any fish in the last 12 months, ei
247
4598
1
2
1
117
2
130
Sysmiss
4598
Have you, or anyone in your household, engaged in fish trading in the last 12 mo
248
4597
1
2
1
YES
139
2
NO
109
Sysmiss
4597
Enumerator: for each species, the amount landed / week should be approximately e
117
4728
1
2
1
YES, the figures matched
113
2
NO, the entries were adjusted
4
Sysmiss
4728
Case Section Roster / Line Occurrence Sequence for O/S Merge
5010
0
1
1
1
5010
Unique Household Identification NPS Y3
5010
0
HOUSEHOLD NUMBER
5010
0
1
3924
Y2 ROSTER ID OF LOWEST PRESENT HOUSEHOLD MEMBER IN HH ROSTER (HH_B06)
5010
0
1
114
Rural Households
5010
0
0
1
0
URBAN
1791
1
RURAL
3219
Cluster ID
4202
0
01-1-141-022
9
01-2-031-032
9
01-2-061-011
10
01-3-133-011
13
01-3-133-042
8
01-4-173-304
17
01-4-311-011
10
01-4-381-031
13
01-4-411-013
12
01-5-091-033
8
01-5-101-043
10
02-1-101-012
8
02-1-111-015
13
02-2-043-022
9
02-2-113-302
11
02-2-123-012
9
02-2-273-308
8
02-3-091-024
6
02-3-103-307
8
02-3-122-001
8
02-3-132-020
9
02-4-013-304
8
02-4-121-013
8
02-5-021-071
8
02-5-103-012
10
03-1-061-031
9
03-1-121-021
9
03-1-141-023
8
03-2-073-301
9
03-2-101-032
11
03-3-143-301
11
03-3-233-307
10
03-4-021-016
8
03-4-101-023
10
03-4-301-043
8
03-5-041-015
9
03-5-132-003
9
04-1-271-044
5
04-2-011-031
12
04-2-041-053
12
04-2-083-352
9
04-2-121-024
8
04-3-091-032
11
04-3-341-011
10
04-4-241-031
11
04-5-022-005
8
04-5-081-022
10
04-6-031-011
7
04-6-171-032
8
04-6-193-306
11
04-7-111-021
14
05-1-083-053
11
05-1-341-026
15
05-2-181-072
10
05-3-083-321
8
05-3-101-014
12
05-4-053-303
9
05-4-071-021
8
05-5-022-002
13
05-5-093-011
11
05-5-093-334
13
05-5-193-308
11
05-6-083-032
9
05-6-091-031
14
05-6-111-012
9
06-1-062-018
19
06-1-123-304
14
06-2-051-012
9
06-3-131-012
7
06-4-101-063
6
06-5-123-044
8
06-5-123-303
8
06-6-071-021
11
07-1-012-004
9
07-1-012-034
7
07-1-022-050
9
07-1-022-118
8
07-1-042-009
5
07-1-042-111
8
07-1-042-136
8
07-1-042-145
12
07-1-052-008
12
07-1-052-071
8
07-1-062-104
11
07-1-072-028
12
07-1-072-052
7
07-1-082-005
8
07-1-082-043
6
07-1-092-004
10
07-1-092-049
6
07-1-092-087
8
07-1-092-102
7
07-1-102-071
5
07-1-102-120
4
07-1-112-066
12
07-1-112-100
10
07-1-112-145
7
07-1-133-021
11
07-1-141-031
7
07-1-163-357
8
07-1-163-455
8
07-1-183-033
8
07-1-183-041
9
07-1-192-011
10
07-1-192-072
8
07-1-212-022
7
07-1-222-027
6
07-1-232-064
10
07-1-232-067
5
07-1-242-001
7
07-1-242-036
8
07-1-272-063
8
07-2-012-117
8
07-2-023-012
11
07-2-023-329
9
07-2-062-012
9
07-2-092-001
13
07-2-092-034
7
07-2-102-047
8
07-2-102-074
6
07-2-202-058
8
07-2-223-026
7
07-3-012-072
8
07-3-021-041
9
07-3-031-011
9
07-3-031-022
11
07-3-072-048
6
07-3-102-003
8
07-3-102-188
8
07-3-113-012
10
07-3-122-048
7
07-3-132-010
11
07-3-142-059
10
07-3-172-120
5
07-3-182-007
8
07-3-182-025
10
07-3-192-096
8
07-3-202-006
9
07-3-202-031
7
07-3-212-031
7
07-3-212-077
11
07-3-212-156
7
07-3-222-021
10
07-3-222-036
13
07-3-222-040
8
07-3-231-021
8
07-3-231-041
10
08-1-011-031
8
08-1-061-033
13
08-1-081-041
13
08-1-161-071
8
08-1-183-312
10
08-1-203-318
12
08-2-131-031
9
08-2-191-014
10
08-2-241-024
8
08-3-101-022
8
08-4-013-031
8
08-4-031-032
8
08-4-041-021
8
08-4-151-024
12
08-5-013-311
8
08-5-061-021
10
08-5-081-014
13
08-6-123-021
13
08-6-123-304
11
09-1-033-023
9
09-1-101-033
12
09-1-111-042
12
09-1-121-011
10
09-1-121-063
11
09-1-131-073
12
09-1-161-022
6
09-2-013-011
11
09-2-013-012
9
09-2-051-032
8
09-2-151-022
11
09-2-161-034
12
09-2-181-051
13
09-3-012-014
13
09-3-021-072
12
09-3-111-021
14
09-3-123-319
9
09-3-203-046
12
09-3-281-042
9
09-4-071-034
12
09-4-111-022
15
09-5-012-004
8
09-5-123-032
17
09-5-123-325
12
10-1-033-043
9
10-1-033-307
9
10-1-033-308
10
10-1-033-325
11
10-1-193-046
8
10-2-051-061
8
10-2-071-041
14
10-2-091-032
11
10-2-113-311
10
10-2-141-051
11
10-3-133-011
9
10-3-141-023
12
10-3-183-301
10
10-3-221-023
14
10-3-371-012
12
10-5-071-044
8
10-5-091-015
15
11-1-021-052
10
11-1-121-021
9
11-2-103-041
12
11-2-121-011
10
11-2-283-031
8
11-2-283-032
9
11-3-113-306
10
11-4-013-012
10
11-4-121-034
8
11-5-031-052
8
11-5-181-014
9
11-5-193-306
8
11-6-012-009
7
11-6-023-332
9
11-6-093-306
12
11-7-061-093
9
12-1-031-022
8
12-1-073-311
9
12-1-121-012
11
12-1-183-304
13
12-2-061-083
9
12-2-081-043
12
12-3-031-011
10
12-3-151-022
12
12-4-071-041
6
12-4-251-073
6
12-4-293-021
11
12-5-143-012
15
12-5-151-033
9
12-6-061-042
15
12-6-071-052
10
12-6-163-012
12
12-7-043-014
8
12-8-113-012
10
12-8-163-302
9
13-1-021-031
12
13-1-241-013
10
13-2-161-041
9
13-3-031-022
14
13-3-173-031
13
13-4-042-026
10
13-4-121-031
12
14-1-102-042
15
14-1-151-033
12
14-2-041-021
12
14-2-081-022
13
14-2-091-021
14
14-2-241-012
13
14-3-011-043
9
14-3-161-022
14
14-4-181-011
14
14-5-053-044
14
14-5-091-033
18
14-5-101-051
9
14-6-112-015
11
14-6-171-013
10
15-1-033-194
6
15-1-223-053
9
15-1-302-052
6
15-1-302-054
8
15-2-133-012
10
15-2-191-051
10
15-2-203-023
10
15-3-013-042
12
15-3-061-011
8
15-3-123-309
11
15-4-081-052
12
16-1-013-320
7
16-1-041-022
10
16-1-051-031
10
16-1-191-013
9
16-2-021-031
16
16-2-031-025
13
16-2-041-015
15
16-2-071-014
9
16-2-181-013
19
16-2-302-013
12
16-3-031-033
13
16-3-083-306
11
16-3-111-012
11
17-1-131-011
13
17-2-011-015
12
17-2-113-044
8
17-3-021-071
14
17-3-083-033
9
17-4-013-020
8
17-4-021-071
14
17-4-211-024
8
17-4-231-012
16
17-5-063-805
16
17-6-041-033
17
17-6-151-022
14
17-7-123-011
17
17-7-133-013
13
17-8-071-051
13
17-8-101-023
11
17-8-171-011
18
18-1-051-044
14
18-1-181-031
12
18-1-271-013
9
18-2-031-032
11
18-2-141-051
12
18-2-311-022
12
18-3-051-022
14
18-3-131-061
11
18-3-311-021
9
18-4-143-072
17
18-5-051-054
8
18-5-071-053
15
18-5-141-034
13
18-6-082-011
13
18-6-111-013
14
19-1-133-056
11
19-2-013-312
15
19-2-071-042
17
19-2-251-021
13
19-2-272-012
8
19-3-022-072
20
19-4-081-043
7
19-4-201-041
22
19-5-171-011
10
19-5-171-016
12
19-6-041-035
15
19-6-213-044
17
19-6-281-051
20
19-7-071-051
22
19-8-032-114
14
19-8-043-320
11
19-8-061-038
16
20-1-171-052
14
20-2-011-033
9
20-3-031-023
11
20-3-241-042
9
20-4-093-389
9
20-4-201-013
12
20-5-112-003
6
21-1-101-032
9
21-1-141-023
10
21-2-091-011
11
21-3-091-031
10
21-4-023-041
9
21-4-071-032
8
21-4-083-012
7
21-4-083-322
10
21-4-083-363
10
21-5-143-031
11
51-1-013-032
9
51-1-061-012
9
51-1-071-054
11
51-1-121-023
11
51-2-011-041
10
51-2-011-043
8
51-2-103-031
8
51-2-161-012
10
51-2-221-011
9
52-1-041-013
8
52-1-081-012
10
52-1-211-013
9
52-2-022-002
10
52-2-091-999
13
53-1-023-305
8
53-1-023-312
6
53-1-071-999
12
53-1-081-073
8
53-1-163-313
8
53-1-163-318
6
53-1-163-327
5
53-1-191-011
10
53-1-222-035
11
53-1-222-045
12
53-1-233-302
7
53-1-243-309
10
53-1-283-318
9
53-2-022-004
5
53-2-062-001
7
53-2-082-002
6
53-2-102-005
7
53-2-112-003
13
53-2-112-012
8
53-2-122-012
8
53-2-152-009
9
53-2-192-008
9
53-2-202-023
8
53-2-312-001
6
53-2-332-004
9
54-1-012-002
11
54-1-031-051
10
54-1-071-044
8
54-1-111-032
10
54-1-162-014
8
54-1-172-008
9
54-2-031-022
10
54-2-051-013
9
54-2-091-042
11
54-2-131-016
9
55-1-021-031
9
55-1-041-032
9
55-1-071-054
10
55-1-132-009
9
55-1-152-005
12
55-1-161-012
6
55-1-171-023
10
55-2-012-005
11
55-2-091-022
8
55-2-133-303
8
55-2-183-302
8
Unique ID for first-stage sampling unit
5010
0
1114002
55218021
Unique ID for sampling stratum
5010
0
1
16
1
176
2
40
3
285
4
737
5
382
6
95
7
506
8
126
9
429
10
128
11
604
12
181
13
597
14
111
15
306
16
307
(mean) y3_panelweight
5010
0
24.828
13538.683
Region Code
5010
0
1
55
1
DODOMA
140
2
ARUSHA
151
3
KILIMANJARO
130
4
TANGA
166
5
MOROGORO
192
6
PWANI
121
7
DAR ES SALAAM
770
8
LINDI
225
9
MTWARA
331
10
RUVUMA
196
11
IRINGA
162
12
MBEYA
218
13
SINGIDA
91
14
TABORA
237
15
RUKWA
111
16
KIGOMA
174
17
SHINYANGA
281
18
KAGERA
222
19
MWANZA
318
20
MARA
85
21
MANYARA
95
51
KASKAZINI UNGUJA
91
52
KUSINI UNGUJA
50
53
MJINI/MAGHARIBI UNGUJA
242
54
KASKAZINI PEMBA
103
55
KUSINI PEMBA
108
Region Name
5010
0
ARUSHA
151
DAR ES SALAAM
770
DODOMA
140
IRINGA
162
KAGERA
222
KASKAZINI PEMBA
103
KASKAZINI UNGUJA
91
KIGOMA
174
KILIMANJARO
130
KUSINI PEMBA
108
KUSINI UNGUJA
50
LINDI
225
MANYARA
95
MARA
85
MBEYA
218
MJINI MAGHARIBI
242
MOROGORO
192
MTWARA
331
MWANZA
318
PWANI
121
RUKWA
111
RUVUMA
196
SHINYANGA
281
SINGIDA
91
TABORA
237
TANGA
166
District Code
5010
0
1
8
1
1339
2
1112
3
898
4
571
5
501
6
353
7
111
8
125
District Name
5010
0
ARUMERU
39
ARUSHA
36
ARUSHA MJINI
9
BABATI
20
BAGAMOYO
37
BAHI
2
BAHI/DODOMA VIJIJINI
1
BARIADI
22
BIHARAMULO
22
BUKOBA
1
BUKOBA RURAL
33
BUKOBA URBAN
33
BUKOMBE
29
BUNDA
24
CHAKECHAKE
68
CHATO
10
CHUNYA
42
DODOMA
1
DODOMA RURAL
41
DODOMA URBAN
33
DODOMA VIJIJINI(BAHI)
1
GEITA
72
GEITA MJINI
1
HAI
30
HANANG
14
HANDENI
29
IGUNGA
62
IKUNGI(SINGIDA VIJIJINI)
1
ILALA
139
ILEJE
18
ILEMELA
51
IRAMBA
26
IRINGA RURAL
18
IRINGA URBAN
35
KAHAMA
68
KARAGWE
37
KARATU
18
KASKAZINI A
42
KASKAZINI B
49
KASULU
91
KATI
18
KIBAHA
17
KIBONDO
41
KIGOMA RURAL
36
KIGOMA URBAN
6
KILINDI
17
KILOLO
10
KILOMBERO
27
KILOSA
32
KILWA
61
KILWA MASOKO
3
KINONDONI
337
KISARAWE
9
KISHAPU
42
KITETO
10
KONDOA
10
KONGWA
25
KOROGWE
31
KUSINI
24
KWIMBA
34
KYELA
27
LINDI RURAL
41
LINDI URBAN
28
LIWALE
41
LUDEKIA
1
LUDEWA
25
LUSHOTO
21
MAFIA
11
MAFINGA
1
MAGHARIBI
152
MAGU
56
MAHENGE/ULANGA
1
MAKETE
10
MANYONI
28
MASASI
81
MASASI-NAYUMBU
1
MASWA
26
MBARALI
10
MBEYA RURAL
23
MBEYA URBAN
28
MBINGA
54
MBINGA NYASA
3
MBOZI
42
MBOZI (MOMBA)
3
MBULU
11
MEATU
31
MICHEWENI
42
MIKINDANI
6
MISENYE
4
MISUNGWI
31
MKINGA
1
MKOANI
40
MKURANGA
19
MOMBA
1
MONDULI
26
MOROGORO RURAL
13
MOROGORO URBAN
56
MOSHI RURAL
30
MOSHI URBAN
3
MPANDA
36
MPWAPWA
20
MTWARA
2
MTWARA MIKINDANI
23
MTWARA RURAL
79
MTWARA URBAN
25
MUFINDI
41
MUHEZA
24
MULEBA
36
MUSOMA
1
MUSOMA RURAL
25
MUSOMA URBAN
8
MVOMERO
41
MWANGA
20
NACHINGWEA
18
NAMTUMBO
23
NANYUMBU
1
NEWALA
65
NEWARA
2
NGARA
40
NGORONGORO
19
NGWALA
1
NICHRWENI
1
NJOMBE
19
NJOMBE RURAL
1
NJOMBE URBAN
1
NKASI
29
NYAMAGANA
27
NYASA
4
NZEGA
42
PANGANI
22
ROMBO
28
RUANGWA
33
RUFIJI
28
RUNGWE
24
RUVUMA MJINI
1
SAME
22
SENGEREMA
34
SERENGETI
9
SHINYANGA RURAL
31
SHINYANGA URBAN
33
SIKONGE
52
SIMANJIRO
47
SINGIDA RURAL
12
SINGIDA URBAN
24
SONGEA
1
SONGEA RURAL
48
SONGEA URBAN
12
SUMBAWANGA
9
SUMBAWANGA RURAL
25
SUMBAWANGA URBAN
12
TABORA URBAN
26
TANDAHIMBA
45
TANGA
1
TANGA URBAN
20
TARIME
17
TARIME(RORYA)
1
TEMEKE
294
TUNDURU
50
UKEREWE
17
ULANGA
21
ULANGA/MAHENGE
1
URAMBO
22
URAMBO (KALIUA)
5
URBAN
98
UYUI
28
WETE
60
Ward Code
5007
3
11
413
Ward Name
5002
0
**CONFIDENTIAL**
5002
Village / Enumeration Area Code
5002
8
1
999
Village / Enumeration Area Name
4840
0
**CONFIDENTIAL**
4840
Kitongoji or MTAA name
4991
0
**CONFIDENTIAL**
4991
Name of household head
5010
0
**CONFIDENTIAL**
5010
Name of household head from NPS year 2
5010
0
**CONFIDENTIAL**
5010
Full household identification from NPS year 2
5010
0
Is this household
5010
0
1
2
1
ORIGINAL HOUSEHOLD
3659
2
SPLIT-OFF HOUSEHOLD
1351
Location of household
5010
0
1
3
1
IN SAME LOCATION
3133
2
LOCAL TRACKING
1127
3
DISTANCE TRACKING
750
Name of Tracking Target
1859
0
**CONFIDENTIAL**
1859
Roster ID of Tracking Target from NPS Year 2:
1860
3150
1
114
Description of location of household
5010
0
1
2
1
YES
5006
2
NO
4
Name of enumerator
5010
0
**CONFIDENTIAL**
5010
Enumerator code
5010
0
2
102
Time interview start - HR
5010
0
1
12
1
65
2
234
3
1132
4
1247
5
827
6
500
7
307
8
241
9
212
10
145
11
66
12
34
Time interview start - MIN
5010
0
0
59
Date of interview - Stata internal form (SIF)
5010
0
20
19687
Date of interview - DAY
5010
0
1
31
Date of interview - MTH
5010
0
1
12
1
JANUARY
464
2
FEBRUARY
325
3
MARCH
328
4
APRIL
423
5
MAY
441
6
JUNE
378
7
JULY
469
8
AUGUST
378
9
SEPTEMBER
134
10
OCTOBER
673
11
NOVEMBER
553
12
DECEMBER
444
Date of interview - YR
5010
0
2012
2013
2012
1455
2013
3555
Name of field supervisor
5010
0
**CONFIDENTIAL**
5010
Field supervisor code
5010
0
1
12
1
574
2
631
3
751
4
643
5
673
6
540
7
337
8
594
9
255
10
3
12
9
Date of questionnaire inspection - Stata internal form (SIF)
4995
15
19011
19688
Date of questionnaire inspection - DAY
4996
14
1
31
Date of questionnaire inspection MTH
4996
14
1
12
1
JANUARY
435
2
FEBRUARY
346
3
MARCH
358
4
APRIL
422
5
MAY
436
6
JUNE
387
7
JULY
469
8
AUGUST
382
9
SEPTEMBER
136
10
OCTOBER
642
11
NOVEMBER
545
12
DECEMBER
438
Sysmiss
14
Date of questionnaire inspection - YR
4996
14
213
2013
Name of data entry clerk
5009
0
**CONFIDENTIAL**
5009
Data entry clerk code
5009
1
17
107
Date of data entry - Stata internal form (SIF)
5008
2
19271
19708
Date of data entry - DAY
5008
2
1
31
Date of data entry - MTH
5008
2
1
12
1
JANUARY
427
2
FEBRUARY
346
3
MARCH
369
4
APRIL
386
5
MAY
445
6
JUNE
402
7
JULY
463
8
AUGUST
396
9
SEPTEMBER
145
10
OCTOBER
613
11
NOVEMBER
569
12
DECEMBER
447
Sysmiss
2
Date of data entry - YR
5008
2
2012
2013
2012
1400
2013
3608
Sysmiss
2
2ND Data entry clerk code
4847
163
11
107
Date of 2ND data entry
4846
164
1012013
31102013
Date of 2ND data entry - DAY
4846
164
1
31
Date of 2ND data entry - MTH
4846
164
1
12
1
JANUARY
153
2
FEBRUARY
588
3
MARCH
613
4
APRIL
421
5
MAY
450
6
JUNE
543
7
JULY
498
8
AUGUST
225
9
SEPTEMBER
627
10
OCTOBER
520
11
NOVEMBER
192
12
DECEMBER
16
Sysmiss
164
Date of 2ND data entry - YR
4846
164
201
2016
Observations on the interview
5004
6
1
2
1
YES
4928
2
NO
76
Sysmiss
6
Case Section Roster / Line Occurrence Sequence for O/S Merge
25412
0
1
54
Unique Household Identification NPS Y3
25412
0
Unique Household Identification NPS Y2
18967
0
Individual ID
25412
0
1
54
Name
25412
0
**CONFIDENTIAL**
25412
Sex
25412
0
1
2
1
MALE
12351
2
FEMALE
13061
In what year was [NAME] born?
25409
3
1905
2013
99
DON'T KNOW
0
1905
2
1910
1
1911
1
1912
2
1913
1
1915
3
1916
4
1917
1
1918
2
1919
4
1920
3
1921
8
1922
14
1923
8
1924
9
1925
10
1926
15
1927
18
1928
26
1929
31
1930
45
1931
28
1932
21
1933
47
1934
38
1935
36
1936
41
1937
37
1938
54
1939
54
1940
58
1941
47
1942
81
1943
55
1944
62
1945
66
1946
51
1947
51
1948
85
1949
88
1950
104
1951
67
1952
127
1953
84
1954
121
1955
79
1956
86
1957
103
1958
155
1959
125
1960
145
1961
163
1962
162
1963
153
1964
184
1965
142
1966
161
1967
139
1968
232
1969
200
1970
221
1971
168
1972
253
1973
217
1974
290
1975
250
1976
195
1977
251
1978
257
1979
330
1980
314
1981
232
1982
305
1983
302
1984
401
1985
325
1986
429
1987
398
1988
479
1989
463
1990
602
1991
496
1992
610
1993
650
1994
642
1995
593
1996
646
1997
561
1998
596
1999
606
2000
643
2001
608
2002
611
2003
645
2004
665
2005
688
2006
718
2007
683
2008
727
2009
708
2010
822
2011
757
2012
852
2013
260
Sysmiss
3
In what month was [NAME] born?
25409
3
1
99
1
JANUARY
1567
2
FEBRUARY
1770
3
MARCH
1625
4
APRIL
1730
5
MAY
1599
6
JUNE
1682
7
JULY
1604
8
AUGUST
1493
9
SEPTEMBER
1448
10
OCTOBER
1508
11
NOVEMBER
1300
12
DECEMBER
1766
99
DON'T KNOW
6317
Sysmiss
3
How old is [NAME]?
25409
3
0
108
What is [NAME]'s relationship to the head of household?
25412
0
1
10
1
HEAD
5010
2
SPOUSE
3485
3
SON/DAUGHTER
10843
4
STEP SON / DAUGHTER
542
5
SISTER/BROTHER
448
6
GRANDCHILD
2728
7
FATHER/MOTHER
200
8
OTHER RELATIVE(SPECIFY)
1767
9
LIVE-IN SERVANT
150
10
OTHER NON-RELATIVES (SPECIFY)
239
If this member was present at last survey, enter y1 & y2 hh id number from track
25412
0
1
115
1
3670
2
3421
3
2945
4
2476
5
1948
6
1461
7
989
8
689
9
444
10
309
11
201
12
110
13
76
14
55
15
36
16
24
17
17
18
18
19
15
20
9
21
5
22
4
23
4
24
4
25
3
26
2
27
2
28
2
29
1
30
2
31
2
32
1
33
1
34
1
35
1
36
1
37
1
38
1
39
1
40
1
41
1
42
1
43
1
44
1
45
1
47
1
48
1
49
1
50
1
51
1
52
1
53
1
54
1
55
1
99
NOT PRESENT IN Y2
6218
101
9
102
32
103
44
104
50
105
22
106
17
107
21
108
12
109
7
110
6
111
2
112
2
114
2
115
1
Did [NAME] eat meals in this household in the last 7 days?
25412
0
1
2
1
YES
23457
2
NO
1955
For how many days in the last month was [NAME] present?
25412
0
0
31
For the last 12 months has [NAME] stayed in this household for 3 months or more?
25412
0
1
2
1
YES
24767
2
NO
645
Cross Out ID
201
0
X
201
For how many cumulative months during the last 12 months has [NAME] been away fr
25206
206
0
12
0
21993
1
670
2
428
3
326
4
228
5
169
6
254
7
179
8
203
9
281
10
206
11
163
12
106
Sysmiss
206
What was [NAME]'s main occupation for the past 12 months?
25206
206
1
17
1
AGRICULTURE/ LIVESTOCK
7330
2
FISHING
105
3
MINING
36
4
TOURISM
4
5
GOVERMENT
420
6
PARASTATAL
40
7
PRIVATE SECTOR
1204
8
NGO/RELIGIOUS
59
9
WITH EMPLOYEES
200
10
WITHOUT EMPLOYEES
1492
11
UNPAID FAMILY WORK
1761
12
PAID FAMILY WORK
91
13
JOB SEEKERS
71
14
STUDENT
6552
15
DISABLED
316
16
NO JOB
990
17
TOO YOUNG
4535
Sysmiss
206
Where is [NAME]'s biological father?
25202
210
1
99
1
8709
2
223
3
235
4
112
5
34
6
23
7
30
8
17
9
12
10
7
11
2
12
4
13
5
14
10
16
4
17
2
20
2
22
3
23
1
44
3
97
LIVING OUT OF THE HOUSEHOLD
8402
98
DEAD
7163
99
DOESN'T KNOW
199
Sysmiss
210
What was [NAME]'s age when [NAME]'s father died?
7137
18275
0
99
How many years of school did/does [NAME]'s father have?
15752
9660
1
7
1
NO SCHOOL
4991
2
SOME PRIMARY
1837
3
COMPLETED PRIMARY
5508
4
SOME SECONDARY
281
5
COMPLETED SECONDARY
949
6
MORE THAN SECONDARY
341
7
DON'T KNOW
1845
Sysmiss
9660
Where is [NAME]'s biological mother?
25199
213
1
99
1
2045
2
8485
3
520
4
226
5
188
6
125
7
108
8
78
9
64
10
64
11
38
12
36
13
14
14
6
15
5
16
9
17
12
18
11
19
1
20
4
21
8
23
3
25
2
27
6
29
1
32
2
34
2
40
2
43
3
91
1
97
LIVING OUT OF THE HOUSEHOLD
8427
98
DEAD
4665
99
DON'T KNOW
38
Sysmiss
213
What was [NAME]'s age when [NAME]'s mother died?
4653
20759
0
99
How many years of school did/does [NAME]'s mother have?
13121
12291
1
7
1
NO SCHOOL
6047
2
SOME PRIMARY
1156
3
COMPLETED PRIMARY
4233
4
SOME SECONDARY
191
5
COMPLETED SECONDARY
445
6
MORE THAN SECONDARY
88
7
DON'T KNOW
961
Sysmiss
12291
Is [NAME] aged 12 years or above?
25205
207
1
2
1
YES
16689
2
NO
8516
Sysmiss
207
What is [NAME]'s marital status?
16674
8738
1
7
1
MONOGAMOUS MARRIED
5540
2
POLYGAMOUS MARRIED
1155
3
LIVING TOGETHER
1265
4
SEPARATED
595
5
DIVORCED
408
6
NEVER MARRIED
6857
7
WIDOW(ER)
854
Sysmiss
8738
What was [NAME]'s marital status previous to this marriage(s)?
6693
18719
1
4
1
IN FIRST MARRIAGE
5008
2
PREVIOUSLY DIVORCED
889
3
PREVIOUSLY WIDOWED
171
4
MULITPLE PREVIOUS MARRIAGES
625
Sysmiss
18719
What type of marriage ceremony did [NAME] have? - 1ST
6691
18721
1
3
1
GOVERNMENT
173
2
RELIGION
3983
3
TRADITIONAL
2535
Sysmiss
18721
What type of marriage ceremony did [NAME] have? - 2ND
144
25268
1
3
1
GOVERNMENT
4
2
RELIGION
82
3
TRADITIONAL
58
Sysmiss
25268
What type of marriage ceremony did [NAME] have? - 3RD
16
25396
2
3
1
GOVERNMENT
0
2
RELIGION
13
3
TRADITIONAL
3
Sysmiss
25396
What type of marriage ceremony did [NAME] have? - 4TH
3
25409
2
3
1
GOVERNMENT
0
2
RELIGION
2
3
TRADITIONAL
1
Sysmiss
25409
Does spouse/ partner live in this household now?
7958
17454
1
2
1
YES
7593
2
NO
365
Sysmiss
17454
ID code of the 1ST spouses who live in the household
7590
17822
1
44
ID code of the 2ND spouses who live in the household
86
25326
3
23
3
47
4
1
5
7
6
4
7
2
8
5
9
5
10
4
12
4
13
1
14
1
16
1
18
1
19
2
23
1
Sysmiss
25326
ID code of the 3RD spouses who live in the household
6
25406
4
12
4
4
12
2
Sysmiss
25406
ID code of the 4TH spouses who live in the household
1
25411
12
12
12
1
Sysmiss
25411
Does [NAME] have a spouse living outside of this household?
7958
17454
1
2
1
YES
730
2
NO
7228
Sysmiss
17454
How many spouses does [NAME] have who are residing outside of this household?
526
24886
0
6
0
3
1
442
2
64
3
11
4
4
5
1
6
1
Sysmiss
24886
For how many years have you lived in this community?
16665
8747
0
99
0
753
1
922
2
771
3
687
4
527
5
357
6
306
7
319
8
187
9
225
10
338
11
190
12
217
13
258
14
175
15
203
16
129
17
135
18
129
19
67
20
216
21
91
22
116
23
105
24
61
25
106
26
55
27
66
28
51
29
43
30
115
31
35
32
36
33
45
34
44
35
46
36
26
37
32
38
41
39
69
40
62
41
32
42
39
43
23
44
18
45
28
46
9
47
6
48
17
49
15
50
24
51
10
52
23
53
9
54
1
55
9
56
6
57
7
58
12
59
6
60
11
61
9
62
7
63
3
64
3
65
6
67
3
68
2
70
3
71
1
72
1
73
1
75
2
99
LIVED HERE SINCE BIRTH
7963
Sysmiss
8747
From which ID_DISTRICT did you move? - NAME
8703
0
ARUMERU
62
ARUSHA
100
BABATI
37
BAGAMOYO
66
BAHI
14
BARIADI
91
BIHARAMULO
47
BUKOBA RURAL
54
BUKOBA URBAN
42
BUKOMBE
69
BUNDA
37
BURUNDI
13
CHAKECHAKE
110
CHATO
16
CHUNYA
30
DODOMA RURAL
16
DODOMA URBAN
47
GEITA
194
HAI
45
HANANG
13
HANDENI
33
IGUNGA
143
ILALA
325
ILEJE
26
ILEMELA
60
INDIA
1
IRAMBA
57
IRINGA RURAL
50
IRINGA URBAN
37
KAHAMA
161
KARAGWE
54
KARATU
26
KASKAZINI A
69
KASKAZINI B
34
KASULU
112
KATI
44
KENYA
6
KIBAHA
21
KIBONDO
95
KIGOMA RURAL
46
KIGOMA URBAN
22
KILINDI
20
KILOLO
18
KILOMBERO
33
KILOSA
54
KILWA
90
KINONDONI
770
KISARAWE
25
KISHAPU
91
KITETO
13
KONDOA
27
KONGWA
19
KOROGWE
36
KUSINI
32
KWIMBA
122
KYELA
20
LINDI
2
LINDI RURAL
64
LINDI URBAN
32
LIWALE
41
LUDEWA
12
LUSHOTO
57
MAFIA
12
MAGHARIBI
153
MAGU
150
MAKETE
17
MALAWI
10
MANYONI
45
MASASI
130
MASWA
127
MBALALI
17
MBEYA RURAL
20
MBEYA URBAN
21
MBINGA
43
MBOZI
49
MBULU
50
MEATU
78
MICHWEWENI
53
MISENYE
24
MISUNGWI
46
MJINI
270
MKINGA
19
MKOANI
74
MKURANGA
46
MONDULI
33
MOROGORO RURAL
49
MOROGORO URBAN
67
MOSHI RURAL
59
MOSHI URBAN
26
MOZAMBIQUE
5
MPANDA
37
MPWAPWA
31
MTWARA MIKINDANI
78
MTWARA RURAL
98
MUFINDI
43
MUHEZA
32
MULEBA
83
MUSOMA RURAL
51
MUSOMA URBAN
27
MVOMERO
31
MWANGA
26
NACHINGWEA
38
NAIROBI
2
NAMTUMBO
25
NEWALA
79
NGARA
49
NGORONGORO
12
NJOMBE
66
NKASI
30
NYAMAGANA
62
NZEGA
95
PANGANI
19
ROMBO
41
RUANGWA
34
RUFIJI
46
RUNGWE
43
SAME
49
SAUDI ARABIA
1
SENGEREMA
96
SHINYANGA RURAL
141
SHINYANGA URBAN
39
SIKONGE
75
SIMANJIRO
28
SINGIDA RURAL
47
SINGIDA URBAN
30
SONGEA RURAL
43
SONGEA URBAN
18
SUMBAWANGA
32
SUMBAWANGA URBAN
12
TABORA URBAN
33
TANDAHIMBA
54
TANGA URBAN
43
TARIME
31
TEMEKE
599
TUNDURU
31
UAE
1
UGANDA
1
UKEREWE
58
ULANGA
30
URAMBA
63
UYUI
83
WETE
80
ZAMBIA
8
ZIMBABWE
3
From which ID_DISTRICT did you move? - ID_REGION
8652
16760
1
96
1
DODOMA
154
2
ARUSHA
233
3
KILIMANJARO
246
4
TANGA
259
5
MOROGORO
264
6
PWANI
216
7
DAR ES SALAAM
1694
8
LINDI
299
9
MTWARA
439
10
RUVUMA
160
11
IRINGA
243
12
MBEYA
225
13
SINGIDA
179
14
TABORA
492
15
RUKWA
111
16
KIGOMA
275
17
SHINYANGA
797
18
KAGERA
369
19
MWANZA
774
20
MARA
160
21
MANYARA
141
51
KASKAZINI UNGUJA
103
52
KUSINI UNGUJA
76
53
MJINI/MAGHARIBI UNGUJA
423
54
KASKAZINI PEMBA
133
55
KUSINI PEMBA
184
96
3
Sysmiss
16760
From which ID_DISTRICT did you move? - ID_DISTRICT
8648
16764
1
8
1
2357
2
1954
3
1695
4
963
5
726
6
581
7
156
8
216
Sysmiss
16764
Why did you move here?
8704
16708
1
7
1
WORK RELATED
591
2
SCHOOL/STUDIES
171
3
MARRIAGE
1887
4
OTHER FAMILY REASONS
3161
5
BETTER SERVICES/HOUSING
2263
6
LAND/PLOT
334
7
OTHER,SPECIFY
297
Sysmiss
16708
In which ID_DISTRICT were you born? - NAME
8703
0
AFRICA KUSINI
1
ARUMERU
55
ARUSHA
63
BABATI
52
BAGAMOYO
80
BAHI
19
BARIADI
124
BIHARAMULO
33
BUKOBA RURAL
89
BUKOBA URBAN
19
BUKOMBE
43
BUNDA
35
BURUNDI
30
BURUNDI KITEGA
1
CHAKECHAKE
123
CHATO
13
CHITIPA
1
CHUNYA
29
DODOMA RURAL
28
DODOMA URBAN
43
GEITA
191
HAI
64
HANANG
10
HANDENI
43
IGUNGA
143
ILALA
199
ILEJE
29
ILEMELA
31
INDIA
1
IRAMBA
91
IRINGA RURAL
64
IRINGA URBAN
36
KAHAMA
146
KARAGWE
53
KARATU
28
KASKAZINI A
97
KASKAZINI B
51
KASULU
124
KATI
55
KENYA
13
KIBAHA
45
KIBONDO
103
KIGALI
1
KIGOMA RURAL
53
KIGOMA URBAN
39
KILIMANJARO
1
KILINDI
23
KILOLO
29
KILOMBERO
43
KILOSA
74
KILWA
106
KINONDONI
287
KISARAWE
48
KISHAPU
110
KITETO
5
KONDOA
34
KONGO
1
KONGWA
23
KOROGWE
60
KUSINI
34
KWIMBA
146
KYELA
33
LINDI
2
LINDI RURAL
83
LINDI URBAN
35
LIWALE
52
LUDEWA
16
LUSHOTO
89
MAFIA
15
MAGHARIBI
81
MAGU
167
MAKETE
31
MALAWI
5
MANYONI
43
MASASI
165
MASWA
145
MBALALI
14
MBEYA RURAL
30
MBEYA URBAN
18
MBINGA
43
MBOZI
59
MBULU
43
MEATU
74
MICHWEWENI
66
MISENYE
33
MISUNGWI
54
MJINI
174
MKINGA
23
MKOANI
96
MKURANGA
58
MONDULI
29
MOROGORO RURAL
105
MOROGORO URBAN
42
MOSHI
1
MOSHI RURAL
128
MOSHI URBAN
34
MOZAMBIQUE
13
MPANDA
34
MPWAPWA
27
MTWARA MIKINDANI
69
MTWARA RURAL
108
MUFINDI
70
MUHEZA
49
MULEBA
112
MUSOMA RURAL
75
MUSOMA URBAN
26
MVOMERO
29
MWANGA
50
NACHINGWEA
45
NAIROBI
1
NAMTUMBO
21
NEWALA
110
NGARA
55
NGORONGORO
17
NJOMBE
61
NKASI
26
NYAMAGANA
47
NZEGA
101
PANGANI
26
ROMBO
57
RUANGWA
40
RUFIJI
83
RUKWA
1
RUNGWE
69
SAME
84
SENGEREMA
108
SHINYANGA RURAL
158
SHINYANGA URBAN
44
SIKONGE
71
SIMANJIRO
21
SINGEA VIJIJINI
1
SINGIDA RURAL
71
SINGIDA URBAN
38
SINGIDA VIJIJINI
1
SONGEA RURAL
57
SONGEA URBAN
21
SUMBAWANGA
37
SUMBAWANGA URBAN
12
TABORA URBAN
36
TANDAHIMBA
62
TANGA (LTW
1
TANGA URBAN
58
TARIME
65
TEMEKE
231
TUNDURU
41
UGANDA
1
UKEREWE
75
ULANGA
46
URAMBA
48
UYUI
56
WETE
125
ZAMBIA
9
ZIMBABWE
2
In which ID_DISTRICT were you born? - ID_REGION
8628
16784
1
96
1
DODOMA
174
2
ARUSHA
192
3
KILIMANJARO
418
4
TANGA
372
5
MOROGORO
339
6
PWANI
329
7
DAR ES SALAAM
717
8
LINDI
361
9
MTWARA
514
10
RUVUMA
183
11
IRINGA
307
12
MBEYA
280
13
SINGIDA
244
14
TABORA
455
15
RUKWA
110
16
KIGOMA
319
17
SHINYANGA
844
18
KAGERA
407
19
MWANZA
805
20
MARA
215
21
MANYARA
131
51
KASKAZINI UNGUJA
148
52
KUSINI UNGUJA
89
53
MJINI/MAGHARIBI UNGUJA
255
54
KASKAZINI PEMBA
191
55
KUSINI PEMBA
219
96
10
Sysmiss
16784
In which ID_DISTRICT were you born? - ID_DISTRICT
8619
16793
1
8
1
2175
2
2112
3
1476
4
1128
5
745
6
590
7
177
8
216
Sysmiss
16793
Case Section Roster / Line Occurrence Sequence for O/S Merge
25412
0
1
54
Unique Household Identification NPS Y3
25412
0
Individual ID
25412
0
1
54
Is [NAME] 5 years or above?
25206
206
1
2
1
YES
21276
2
NO
3930
Sysmiss
206
Can [NAME] read and write?
21269
4143
1
5
1
KISWAHILI
11626
2
ENGLISH
320
3
KISWAHILI & ENGLISH
3389
4
ANY OTHER LANGUAGE
13
5
NO
5921
Sysmiss
4143
Did [NAME] ever go to school?
21270
4142
1
2
1
YES
17221
2
NO
4049
Sysmiss
4142
At what age did [NAME] start school?
17194
8218
2
34
Is [NAME] currently in school?
17215
8197
1
2
1
YES
6358
2
NO
10857
Sysmiss
8197
Was [NAME] in school last year?
10857
14555
1
2
1
YES
856
2
NO
10001
Sysmiss
14555
What is the highest grade completed by [NAME]?
10000
15412
1
45
1
PP
7
2
ADULT
4
11
D1
95
12
D2
258
13
D3
291
14
D4
740
15
D5
283
16
D6
309
17
D7
5411
18
D8
100
19
PREFORM 1
9
20
MS+COURSE
117
21
F1
126
22
F2
548
23
F3
236
24
F4
971
25
'O'+COURSE
224
31
F5
5
32
F6
44
33
'A'+COURSE
33
34
DIPLOMA
76
41
U1
0
42
U2
3
43
U3
56
44
U4
21
45
U5&+
33
Sysmiss
15412
What year did [NAME] leave school for the last time?
9997
15415
1926
9999
1926
1
1932
1
1933
2
1934
2
1935
1
1936
2
1937
4
1938
2
1939
1
1940
1
1941
2
1942
2
1943
8
1944
2
1945
6
1946
10
1947
4
1948
13
1949
3
1950
10
1951
9
1952
14
1953
9
1954
23
1955
12
1956
26
1957
24
1958
27
1959
16
1960
19
1961
28
1962
23
1963
31
1964
47
1965
37
1966
36
1967
40
1968
51
1969
46
1970
54
1971
43
1972
60
1973
54
1974
66
1975
61
1976
80
1977
89
1978
94
1979
110
1980
111
1981
155
1982
184
1983
159
1984
245
1985
144
1986
151
1987
165
1988
181
1989
161
1990
174
1991
152
1992
200
1993
183
1994
223
1995
231
1996
221
1997
223
1998
227
1999
263
2000
240
2001
236
2002
281
2003
244
2004
280
2005
278
2006
306
2007
405
2008
490
2009
560
2010
658
2011
582
2012
103
2013
10
9999
DON'T KNOW
265
Sysmiss
15415
What grade is [NAME] currently attending?
6358
19054
1
45
1
PP
582
2
ADULT
7
11
D1
763
12
D2
707
13
D3
642
14
D4
596
15
D5
516
16
D6
596
17
D7
407
18
D8
0
19
PREFORM 1
2
20
MS+COURSE
22
21
F1
337
22
F2
360
23
F3
230
24
F4
211
25
'O'+COURSE
131
31
F5
25
32
F6
34
33
'A'+COURSE
15
34
DIPLOMA
37
41
U1
30
42
U2
48
43
U3
35
44
U4
11
45
U5&+
14
Sysmiss
19054
What grade was [NAME] attending last year?
7213
18199
1
91
1
PP
716
2
ADULT
4
7
1
11
D1
731
12
D2
666
13
D3
605
14
D4
545
15
D5
604
16
D6
558
17
D7
504
18
D8
1
19
PREFORM 1
1
20
MS+COURSE
21
21
F1
368
22
F2
288
23
F3
285
24
F4
260
25
'O'+COURSE
110
31
F5
38
32
F6
53
33
'A'+COURSE
17
34
DIPLOMA
39
41
U1
50
42
U2
41
43
U3
32
44
U4
8
45
U5&+
6
90
NOT YET STARTED
587
91
NOT ATTENDING
74
Sysmiss
18199
Check Q5: is [NAME] currently attending school?
7221
18191
1
2
1
YES
6358
2
NO
863
Sysmiss
18191
Who owns the school [NAME] attends?
6356
19056
1
8
1
LOCAL GOV'T
4008
2
CENTRAL GOV'T
1516
3
LOCAL PEOPLE
119
4
FOREIGN PEOPLE
8
5
RELIGIOUS
240
6
CHARITABLE ORG
3
7
PRIVATE ORG
442
8
OTHER (SPECIFY)
20
Sysmiss
19056
Is this school a boarding school?
6356
19056
1
2
1
YES
453
2
NO
5903
Sysmiss
19056
How does [NAME] usually travel to school?
5902
19510
1
5
1
ON FOOT
5251
2
BY BIKE
122
3
BY PRIVATE CAR/ VEHICLE
108
4
BY PUBLIC VEHICLE/ MINIBUS
376
5
OTHER (SPECIFY)
45
Sysmiss
19510
How long does it take [NAME] to get to school by this means of transportation?
5903
19509
0
240
Does [NAME] get meals at the school (school feeding )?
6355
19057
1
2
1
YES
342
2
NO
6013
Sysmiss
19057
Has [NAME] missed school in the last two schooling weeks?
6356
19056
1
2
1
YES
1607
2
NO
4749
Sysmiss
19056
Why was [NAME] absent from school?
1607
23805
1
12
1
PUBLIC HOLIDAY
50
2
SCHOOL CLOSED NOT IN BREAK
33
3
SCHOOL CLOSED IN BREAK
1015
4
ABSENCE TEACHER
6
5
ILLNESS CHILD
224
6
ILNESS HH MEMBER
38
7
FUNERAL
28
8
DISCIPLINARY ACTION
5
9
CANNOT MEET COSTS
39
10
CHILD REFUSED
64
11
CHILD HAD TO WORK
32
12
OTHER (SPECIFY)
73
Sysmiss
23805
What is the status of the textbooks [NAME] uses for school?
6356
19056
1
5
1
NO TEXTBOOKS USED
990
2
ALL BORROWED FROM SCHOOL BUT CAN'T TAKE HOME
3148
3
ALL BORROWED FROM SCHOOL, SOME/ALL CAN TAKE HOME
1472
4
SOME OWNED BY HOUSEHOLD
741
5
OTHER (SPECIFY)
5
Sysmiss
19056
In the last week, approximately how many hours did [NAME] spend on homework or s
6355
19057
0
70
In the last week, approximately how many hours did [NAME] spend on homework or s
6355
19057
0
56
1st [NAME] problems at school
6356
19056
1
8
1
NO PROBLEMS (SATISFIED)
3851
2
INADEQUATE BOOKS/TOOLS
1544
3
POOR TEACHING
202
4
INADEQUATE TEACHERS
353
5
POOR ATTENDANCE OF TEACHERS
39
6
OVERCROWDED CLASSROOMS
110
7
TOO EXPENSIVE
90
8
OTHER (SPECIFY)
167
Sysmiss
19056
2nd [NAME] problem at school
1011
24401
1
8
1
NO PROBLEMS (SATISFIED)
2
2
INADEQUATE BOOKS/TOOLS
172
3
POOR TEACHING
165
4
INADEQUATE TEACHERS
423
5
POOR ATTENDANCE OF TEACHERS
38
6
OVERCROWDED CLASSROOMS
156
7
TOO EXPENSIVE
10
8
OTHER (SPECIFY)
45
Sysmiss
24401
Did [NAME] take the Primary School Leaving Exam [PSLE]?
17214
8198
1
2
1
YES
10179
2
NO
7035
Sysmiss
8198
How did [NAME] score in the exam?
10180
15232
1
3
1
PASS
4384
2
FAIL
5545
3
DON'T KNOW
251
Sysmiss
15232
Did [NAME] take the Form 4 or Form 6 exam?
17214
8198
1
3
1
YES, FORM 4
1817
2
YES, FORM 6
394
3
NO, DID NOT TAKE
15003
Sysmiss
8198
In what year did [NAME] take the exam?
2210
23202
1948
9999
1948
1
1952
1
1954
1
1956
1
1957
2
1960
1
1961
1
1962
1
1963
1
1964
2
1965
3
1966
4
1967
2
1968
6
1969
4
1970
7
1971
8
1972
5
1973
6
1974
4
1975
6
1976
7
1977
14
1978
10
1979
14
1980
16
1981
17
1982
17
1983
12
1984
24
1985
13
1986
6
1987
22
1988
22
1989
22
1990
18
1991
16
1992
32
1993
19
1994
19
1995
28
1996
33
1997
26
1998
31
1999
29
2000
44
2001
40
2002
52
2003
48
2004
54
2005
61
2006
83
2007
79
2008
110
2009
165
2010
265
2011
298
2012
320
2013
22
9999
DON'T KNOW
35
Sysmiss
23202
Will you show me the exam certificate?
2209
23203
1
3
1
YES, IT WAS SHOWN
350
2
YES, IT WAS SHOWN NOT SHOWN, HOUSEHOLD HAS BUT REFUSED
156
3
NOT FOUND
1703
Sysmiss
23203
How did [NAME] score in the exam?
2209
23203
1
6
1
DIVISION 1
58
2
DIVISION 2
141
3
DIVISION 3
356
4
DIVISION 4
1090
5
FAIL
319
6
DON'T KNOW
245
Sysmiss
23203
How much was spent on [NAME]'s education in the last 12 months for School Fees?
17220
8192
0
9570000
How much was spent on [NAME]'s education in the last 12 months for Books and Mat
17220
8192
0
1500000
How much was spent on [NAME]'s education in the last 12 months for Uniforms?
17220
8192
0
500000
How much was spent on [NAME]'s education in the last 12 months for Transports?
17220
8192
0
2520000
How much was spent on [NAME]'s education in the last 12 months for Extra Tuition
17220
8192
0
624000
How much was spent on [NAME]'s education in the last 12 months for Other Contrib
17220
8192
0
1150000
How much was spent on [NAME]'s education in the last 12 months for Meals Cost?
17220
8192
0
2400000
How much was spent on [NAME]'s education in the last 12 months in Total?
17220
8192
0
10000000
Has [NAME] ever attended an adult literacy class? Which one?
21269
4143
1
4
1
KCM (MUKEJA)
345
2
KCK (MUKEJA)
82
3
OTHER NOT MUKEJA (SPECIFY)
39
4
NEVER ATTENDED
20803
Sysmiss
4143
How many months did [NAME] attend this adult literacy class?
464
24948
1
48
Case Section Roster / Line Occurrence Sequence for O/S Merge
25412
0
1
54
Unique Household Identification NPS Y3
25412
0
Individual ID
25412
0
1
54
Is this person answering for himself/ herself?
25208
204
1
2
1
YES
12442
2
NO
12766
Sysmiss
204
Has [NAME] visited a health care provider in the last 4 weeks?
25206
206
1
2
1
YES
4432
2
NO
20774
Sysmiss
206
What type of 1ST health provider did [NAME] visit?
4431
20981
1
17
1
GOV PARASTATAL REFERRAL/SPEC HOSP
98
2
GOV PARASTATAL REGIONAL HOSPITAL
151
3
GOV PARASTATAL DISTRICT HOSPITAL
470
4
GOV PARASTATAL HEALTH CENTER
503
5
GOV PARASTATAL DISPENSARY
1040
6
GOV PARASTATAL VILLAGE HEALTH POST (WORKER)
43
7
GOV PARASTATAL CBD WORKER
0
8
RELIGIOUS/VOLUNTARY REFERRAL/SPEC
61
9
RELIGIOUS/VOLUNTARY DISTRICT HOSPITAL
37
10
RELIGIOUS/VOLUNTARY HEALTH CENTER
123
11
RELIGIOUS/VOLUNTARY DISPENSARY
154
12
PRIVATE SPECIALISED HOSP
110
13
PRIVATE HEALTH CENTER
214
14
PRIVATE DISPENSARY
490
15
OTHER PHARMACY
877
16
NGO
19
17
OTHER (SPECIFY)
41
Sysmiss
20981
What type of 2ND health provider did [NAME] visit?
508
24904
1
17
1
GOV PARASTATAL REFERRAL/SPEC HOSP
7
2
GOV PARASTATAL REGIONAL HOSPITAL
12
3
GOV PARASTATAL DISTRICT HOSPITAL
12
4
GOV PARASTATAL HEALTH CENTER
4
5
GOV PARASTATAL DISPENSARY
7
6
GOV PARASTATAL VILLAGE HEALTH POST (WORKER)
0
7
GOV PARASTATAL CBD WORKER
0
8
RELIGIOUS/VOLUNTARY REFERRAL/SPEC
4
9
RELIGIOUS/VOLUNTARY DISTRICT HOSPITAL
1
10
RELIGIOUS/VOLUNTARY HEALTH CENTER
1
11
RELIGIOUS/VOLUNTARY DISPENSARY
1
12
PRIVATE SPECIALISED HOSP
4
13
PRIVATE HEALTH CENTER
18
14
PRIVATE DISPENSARY
23
15
OTHER PHARMACY
412
16
NGO
1
17
OTHER (SPECIFY)
1
Sysmiss
24904
How was the 1ST treatment financed?
4431
20981
1
9
1
FREE TREATMENT
861
2
HEALTH INSURANCE
262
3
OWN CASH
3253
4
HAD TO WORK FOR PROVIDER
4
5
USE OF ASSET
3
6
TOOK LOAN
1
7
GOT ASSISTANCE
32
8
DIFFERED BY PROVIDER
9
9
OTHER (SPECIFY)
6
Sysmiss
20981
How was the 2ND treatment financed?
511
24901
1
8
1
FREE TREATMENT
31
2
HEALTH INSURANCE
10
3
OWN CASH
461
4
HAD TO WORK FOR PROVIDER
0
5
USE OF ASSET
0
6
TOOK LOAN
0
7
GOT ASSISTANCE
8
8
DIFFERED BY PROVIDER
1
9
OTHER (SPECIFY)
0
Sysmiss
24901
How much did [NAME] spend visiting the 1ST health provider?
4430
20982
0
13000000
How much did [NAME] spend visiting the 2ND health provider?
518
24894
0
370000
Did [NAME] have any problems during the visit to the 1ST health provider?
4430
20982
1
7
1
NO PROBLEMS (SATISFIED)
3282
2
POOR BUILDING/TOOLS
52
3
LONG WAITING TIME
338
4
INADEQUATE TRAINED STAFF
75
5
TOO EXPENSIVE
327
6
LACK OF MEDICINE
342
7
OTHER (SPECIFY)
14
Sysmiss
20982
Did [NAME] have any problems during the visit to the 2ND health provider?
512
24900
1
7
1
NO PROBLEMS (SATISFIED)
333
2
POOR BUILDING/TOOLS
2
3
LONG WAITING TIME
11
4
INADEQUATE TRAINED STAFF
5
5
TOO EXPENSIVE
136
6
LACK OF MEDICINE
24
7
OTHER (SPECIFY)
1
Sysmiss
24900
How much in total did the household spend on [NAME] in the past 4 weeks for all
25207
205
0
13000000
How much in total did the household spend on [NAME] in the past 4 weeks for medi
25207
205
0
80000
How much in total did the household spend on [NAME] in the past 4 weeks for non-
25207
205
0
200000
During the last 12 months, were you hospital-ized or did [NAME] have an overnigh
25208
204
1
2
1
YES
1103
2
NO
24105
Sysmiss
204
How many stays was [NAME] hospitalized?
1102
24310
1
30
For how many total nights was [NAME] hospitalized?
1102
24310
0
240
1st type of illness or injury that led [NAME] to hospitalization
1101
24311
1
10
1
FEVER
90
2
MALARIA
333
3
STOMACH
136
4
DIARRHEA
27
5
HEADACHE
7
6
HEART
32
7
LUNG
36
8
BROKEN BONE
22
9
MATERNITY
161
10
OTHER (SPECIFY)
257
Sysmiss
24311
2nd type of illness or injury that led [NAME] to hospitalization
181
25231
1
10
1
FEVER
5
2
MALARIA
27
3
STOMACH
32
4
DIARRHEA
10
5
HEADACHE
6
6
HEART
5
7
LUNG
10
8
BROKEN BONE
1
9
MATERNITY
6
10
OTHER (SPECIFY)
79
Sysmiss
25231
What was the total cost of [NAME]'s hospitalization(s) or overnight stay(s) in a
1101
24311
0
7300000
During the last 12 months, did [NAME] stay over-night(s) at a traditional healer
25208
204
1
2
1
YES
286
2
NO
24922
Sysmiss
204
What was the total cost of [NAME]'s stay(s) at the traditional healer or faith h
286
25126
0
900000
Did [NAME] sleep under a bednet yesterday?
25203
209
1
5
1
YES UNTREATED NET
4955
2
YES TREATED NET < 6 MONTHS
5923
3
YES TREATED NET > 6 MONTHS
6441
4
NO
6230
5
DONT KNOW
1654
Sysmiss
209
How did the household obtain this bednet?
17319
8093
1
3
1
FREE GIFT
12279
2
PURCHASED
4109
3
PURCHASED W/ VOUCHER
931
Sysmiss
8093
How much did the household pay for the bednet?
5038
20374
0
200000
Does [NAME] possess their birth certificate?
25201
211
1
4
1
HAS CERTIFICATE
5593
2
REGISTERED
4922
3
NEITHER
14232
4
DON'T KN0W
454
Sysmiss
211
In the last year, did [NAME] access a medical exemption at a public health facil
25202
210
1
3
1
YES
1541
2
NO
23580
3
DON'T KNOW
81
Sysmiss
210
Is the respondent a woman aged 12 to 49 years?
25203
209
1
2
1
YES
7106
2
NO
18097
Sysmiss
209
In the past 24 months, did [NAME] give birth to a child, even if born dead?
7083
18329
1
2
1
YES
1832
2
NO
5251
Sysmiss
18329
Did [NAME] regularly go to a health clinic when you were pregnant with your last
1832
23580
1
2
1
YES
1786
2
NO
46
Sysmiss
23580
Where did [NAME] deliver [NAME]'s last child born in the last 24 months?
1832
23580
1
4
1
HOSPITAL/MATERNITY
1014
2
CLINIC
225
3
AT HOME
555
4
OTHER (SPECIFY)
38
Sysmiss
23580
Who delivered this child?
1832
23580
1
7
1
DOCTOR ORCLINICALOFFICER
269
2
NURSE
873
3
MIDWIFE
150
4
TRADITIONAL BIRTH ATTENDANT
177
5
FRIEND OR RELATIVE
287
6
SELF
55
7
OTHER
21
Sysmiss
23580
Was this birth registered with civil authorities?
1832
23580
1
2
1
YES
1424
2
NO
408
Sysmiss
23580
Is the respondent a child of under 5 years old (less than 60 months old)?
19955
5457
1
2
1
YES
3873
2
NO
16082
Sysmiss
5457
Has [NAME] had diarrhea in the last two weeks
3862
21550
1
2
1
YES
448
2
NO
3414
Sysmiss
21550
Now I would like to know how much [NAME] was offered to drink during the diarrhe
448
24964
1
6
1
MUCH LESS
51
2
SOMEWHAT LESS
80
3
ABOUT THE SAME
185
4
MORE
51
5
NOTHING TO DRINK
80
6
DON'T KNOW
1
Sysmiss
24964
When [NAME] had diarrhea, was he/she offered less than usual to eat, about the s
448
24964
1
5
1
MUCH LESS
83
2
SOMEWHAT LESS
130
3
ABOUT THE SAME
189
4
MORE
13
5
NOTHING TO EAT
33
6
DON'T KNOW
0
Sysmiss
24964
Was he/she given any Oral Rehydration Salts (ORS) to drink?
448
24964
1
2
1
YES
181
2
NO
267
Sysmiss
24964
Was he/she given any government-recommended homemade fluid to drink?
448
24964
1
2
1
YES
66
2
NO
382
Sysmiss
24964
Did [NAME] seek advice or treatment for the diarrhea?
448
24964
1
2
1
YES
264
2
NO
184
Sysmiss
24964
Where did [NAME] seek advice or treatment? - 1ST
264
25148
1
17
1
GOV PARASTATAL REFERRAL/SPEC HOSP
1
2
GOV PARASTATAL REGIONAL HOSPITAL
2
3
GOV PARASTATAL DISTRICT HOSPITAL
18
4
GOV PARASTATAL HEALTH CENTER
25
5
GOV PARASTATAL DISPENSARY
87
6
GOV PARASTATAL VILLAGE HEALTH POST (WORKER)
0
7
GOV PARASTATAL CBD WORKER
0
8
RELIGIOUS/VOLUNTARY REFERRAL/SPEC
2
9
RELIGIOUS/VOLUNTARY DISTRICT HOSPITAL
2
10
RELIGIOUS/VOLUNTARY HEALTH CENTER
6
11
RELIGIOUS/VOLUNTARY DISPENSARY
13
12
PRIVATE SPECIALISED HOSP
2
13
PRIVATE HEALTH CENTER
9
14
PRIVATE DISPENSARY
25
15
OTHER PHARMACY
65
16
NGO
0
17
OTHER (SPECIFY)
7
Sysmiss
25148
Where did [NAME] seek advice or treatment? - 2ND
12
25400
4
17
1
GOV PARASTATAL REFERRAL/SPEC HOSP
0
2
GOV PARASTATAL REGIONAL HOSPITAL
0
3
GOV PARASTATAL DISTRICT HOSPITAL
0
4
GOV PARASTATAL HEALTH CENTER
1
5
GOV PARASTATAL DISPENSARY
0
6
GOV PARASTATAL VILLAGE HEALTH POST (WORKER)
0
7
GOV PARASTATAL CBD WORKER
0
8
RELIGIOUS/VOLUNTARY REFERRAL/SPEC
0
9
RELIGIOUS/VOLUNTARY DISTRICT HOSPITAL
0
10
RELIGIOUS/VOLUNTARY HEALTH CENTER
0
11
RELIGIOUS/VOLUNTARY DISPENSARY
1
12
PRIVATE SPECIALISED HOSP
0
13
PRIVATE HEALTH CENTER
1
14
PRIVATE DISPENSARY
1
15
OTHER PHARMACY
7
16
NGO
0
17
OTHER (SPECIFY)
1
Sysmiss
25400
Where did [NAME] seek advice or treatment? - 3RD
0
25412
1
GOV PARASTATAL REFERRAL/SPEC HOSP
0
2
GOV PARASTATAL REGIONAL HOSPITAL
0
3
GOV PARASTATAL DISTRICT HOSPITAL
0
4
GOV PARASTATAL HEALTH CENTER
0
5
GOV PARASTATAL DISPENSARY
0
6
GOV PARASTATAL VILLAGE HEALTH POST (WORKER)
0
7
GOV PARASTATAL CBD WORKER
0
8
RELIGIOUS/VOLUNTARY REFERRAL/SPEC
0
9
RELIGIOUS/VOLUNTARY DISTRICT HOSPITAL
0
10
RELIGIOUS/VOLUNTARY HEALTH CENTER
0
11
RELIGIOUS/VOLUNTARY DISPENSARY
0
12
PRIVATE SPECIALISED HOSP
0
13
PRIVATE HEALTH CENTER
0
14
PRIVATE DISPENSARY
0
15
OTHER PHARMACY
0
16
NGO
0
17
OTHER (SPECIFY)
0
Sysmiss
25412
Case Section Roster / Line Occurrence Sequence for O/S Merge
25412
0
1
54
Unique Household Identification NPS Y3
25412
0
Individual ID
25412
0
1
54
Is the household member 5 years or above?
25209
203
1
2
1
YES
21301
2
NO
3908
Sysmiss
203
Is this person answering for himself/ herself?
21297
4115
1
2
1
YES
12518
2
NO
8779
Sysmiss
4115
What is the id code of the person answering for [NAME]?
8775
16637
1
18
1
4591
2
3276
3
375
4
225
5
96
6
66
7
39
8
38
9
18
10
14
11
9
12
9
13
10
14
7
18
2
Sysmiss
16637
In the last 12 months, did [NAME] work as an unpaid apprentice?
21293
4119
1
2
1
YES
317
2
NO
20976
Sysmiss
4119
In the last 12 months, did [NAME] work as an employee for a wage, salry, commiss
21294
4118
1
2
1
YES
3911
2
NO
17383
Sysmiss
4118
In the last 12 months, did [NAME] run a non-farm business of any size for tehmse
21292
4120
1
2
1
YES
2881
2
NO
18411
Sysmiss
4120
In the last 12 months, did [NAME] help in any kind of non-farm business run by t
21294
4118
1
2
1
YES
841
2
NO
20453
Sysmiss
4118
In the last 12 months, did [NAME] work on the household's farm/raise household l
21295
4117
1
2
1
YES
10541
2
NO
10754
Sysmiss
4117
CHECK Q4A-Q4E: IS THE ANSWER TO AT LEAST ONE QUESTION A 'YES'?
21283
4129
1
2
1
YES
13668
2
NO
7615
Sysmiss
4129
In what type of economic activity did [NAME] spend most of [NAME]'s time in the
13661
11751
1
7
1
A PAID EMPLOYEE
2091
2
SELF EMPLOYED (NON-AGRIC): WITH EMPLOYEES
248
3
SELF EMPLOYED (NON-AGRIC): WITHOUT EMPLOYEES
1536
4
UNPAID FAMILY HELPER: (NON-AGRIC)
527
5
UNPAID FAMILY HELPER: (ARGIC)
5340
6
ON YOUR OWN FARM OR SHAMBA
3807
7
UNPAID APPRENTICESHIP
112
Sysmiss
11751
In what type of economic activity did [NAME] spend most of [NAME]'s time in the
3148
22264
1
7
1
A PAID EMPLOYEE
1014
2
SELF EMPLOYED (NON-AGRIC): WITH EMPLOYEES
73
3
SELF EMPLOYED (NON-AGRIC): WITHOUT EMPLOYEES
830
4
UNPAID FAMILY HELPER: (NON-AGRIC)
316
5
UNPAID FAMILY HELPER: (ARGIC)
378
6
ON YOUR OWN FARM OR SHAMBA
483
7
UNPAID APPRENTICESHIP
54
Sysmiss
22264
In the last 12 months, were the products from [NAME]'s work for sale/barter or m
13660
11752
1
2
1
MAINLY FOR SALE / BARTER
3573
2
MAINLY FOR HOUSEHOLD CONSUMPTION
10087
Sysmiss
11752
In the last 7 days, did [NAME] work as an unpaid apprenticice?
21294
4118
1
2
1
YES
158
2
NO
21136
Sysmiss
4118
In the last 7 days, did [NAME] work as an employee for a wage, salry, commission
21294
4118
1
2
1
YES
2562
2
NO
18732
Sysmiss
4118
In the last 7 days, did [NAME] run a non-farm business of any size for themselve
21294
4118
1
2
1
YES
2159
2
NO
19135
Sysmiss
4118
In the last 7 days, did [NAME] help in any kind of non-farm business run by this
21294
4118
1
2
1
YES
597
2
NO
20697
Sysmiss
4118
In the last 7 days, did [NAME] work on the household's farm/raise household live
21294
4118
1
2
1
YES
7645
2
NO
13649
Sysmiss
4118
CHECK Q8A-Q8E: IS THE ANSWER TO AT LEAST ONE QUESTION A 'YES'?
21289
4123
1
2
1
YES
11088
2
NO
10201
Sysmiss
4123
In what type of economic activity did [NAME] spend most of [NAME]'s time in the
11084
14328
1
7
1
A PAID EMPLOYEE
2033
2
SELF EMPLOYED (NON-AGRIC): WITH EMPLOYEES
225
3
SELF EMPLOYED (NON-AGRIC): WITHOUT EMPLOYEES
1500
4
UNPAID FAMILY HELPER: (NON-AGRIC)
471
5
UNPAID FAMILY HELPER: (ARGIC)
3785
6
ON YOUR OWN FARM OR SHAMBA
2980
7
UNPAID APPRENTICESHIP
90
Sysmiss
14328
In what type of economic activity did [NAME] spend most of [NAME]'s time in the
1411
24001
1
7
1
A PAID EMPLOYEE
294
2
SELF EMPLOYED (NON-AGRIC): WITH EMPLOYEES
39
3
SELF EMPLOYED (NON-AGRIC): WITHOUT EMPLOYEES
411
4
UNPAID FAMILY HELPER: (NON-AGRIC)
187
5
UNPAID FAMILY HELPER: (ARGIC)
197
6
ON YOUR OWN FARM OR SHAMBA
267
7
UNPAID APPRENTICESHIP
16
Sysmiss
24001
In the last 7 days, were the products from [NAME]'s work for sale/barter or main
11084
14328
1
2
1
MAINLY FOR SALE / BARTER
3203
2
MAINLY FOR HOUSEHOLD CONSUMPTION
7881
Sysmiss
14328
Where you able to work in the last 7 days?
10206
15206
1
2
1
YES
1459
2
NO
8747
Sysmiss
15206
Why were you not available for work during the last 7 days?
8741
16671
1
6
1
IN SCHOOL
4662
2
BUSY WITH HOUSEHOLD DUTIES
2450
3
UNABLE TO WORK: TOO YOUNG
829
4
UNABLE TO WORK: TOO OLD
249
5
UNABLE TO WORK: SICK
500
6
UNABLE TO WORK: DISABLED
51
Sysmiss
16671
Although [NAME] did not do any work during the last 7 days, does [NAME] have a j
1463
23949
1
2
1
YES
888
2
NO
575
Sysmiss
23949
Has [NAME] taken any steps within the past 4 weeks to look for work?
575
24837
1
2
1
YES
215
2
NO
360
Sysmiss
24837
What steps has [NAME] taken to find work in the past 4 weeks? (Primary)
215
25197
1
5
1
REGISTERED WITH A RECRUITMENT AGENCY
13
2
REPLIED TO ADVERTISEMENTS IN NEWSPAPERS, POSTERS, OR INTERNET
36
3
INQUIRING FORM PERSONS WITH PUBLIC OR PRIVATE SECTOR JOB CONTRACTS
95
4
FRIENDS/RELATIVES
69
5
OTHER (SPECIFY)
2
Sysmiss
25197
What steps has [NAME] taken to find work in the past 4 weeks? (Secondary)
65
25347
2
4
1
REGISTERED WITH A RECRUITMENT AGENCY
0
2
REPLIED TO ADVERTISEMENTS IN NEWSPAPERS, POSTERS, OR INTERNET
7
3
INQUIRING FORM PERSONS WITH PUBLIC OR PRIVATE SECTOR JOB CONTRACTS
22
4
FRIENDS/RELATIVES
36
5
OTHER (SPECIFY)
0
Sysmiss
25347
CHECK: IS THE ANSWER TO QUESTION 4B OR 8B 'YES'?
21295
4117
1
3
1
YES TO 4B OR 8B
2060
2
YES TO BOTH 4B AND 8B
1895
3
NO TO BOTH 4B AND 8B
17340
Sysmiss
4117
Did [NAME] work in the same wage job in the last 7 days and the last 12 months?
1890
23522
1
2
1
YES
1823
2
NO
67
Sysmiss
23522
Is [NAME]'s employer for this work…
3953
21459
1
10
1
CENTRAL GOV
333
2
LOCAL GOV
110
3
PARASTATAL
43
4
POLITICAL PARTY
2
5
COOPERATIVE
13
6
NGO
28
7
INT'L ORG
15
8
RELIGIOUS ORG
57
9
PRIVATE SECTOR
3344
10
OTHER(SPECIFY)
8
Sysmiss
21459
What kind of work do you usually do in this job? DESC
3952
0
**CONFIDENTIAL**
3952
What kind of work do you usually do in this job? CODE
3945
0
011
12
012
7
1
2
11
12
111
2
112
6
113
8
114
6
12
3
121
1
122
9
123
1
13
5
131
10
21
8
212
5
213
7
214
6
221
3
222
13
223
23
231
5
232
17
239
28
241
15
242
10
243
3
244
3
245
2
246
5
31
28
311
9
312
4
313
4
314
2
315
2
321
1
322
6
323
12
331
33
332
2
333
72
334
15
335
4
339
6
341
16
343
4
344
4
345
10
346
5
347
11
348
8
41
3
411
34
412
3
413
11
414
3
415
25
42
1
421
33
422
6
511
14
512
117
513
84
514
17
516
145
520
117
53
5
530
1
531
23
532
51
533
3
611
349
612
11
613
11
614
25
615
1
621
87
71
1
711
12
712
61
713
111
714
9
721
12
722
5
723
33
724
18
731
1
732
11
734
24
735
3
741
20
742
2
743
4
744
1
749
7
811
8
812
2
813
1
814
5
815
1
816
6
823
3
824
7
825
7
826
6
827
10
828
2
829
10
83
1
831
4
832
145
833
11
834
11
91
24
911
4
912
1
913
107
914
15
915
36
916
11
919
77
92
1
921
1048
93
87
931
111
932
45
933
54
934
39
X13
1
X21
9
X3
2
X31
23
What kind of trade or business is it connected with? - DESC
3950
0
**CONFIDENTIAL**
3950
What kind of trade or business is it connected with? - CODE
3943
21469
0
4923
0
1
1
CROP AND ANIMAL PRODUCTION, HUNTING AND RELATED SERVICE ACTIVITIES
1477
2
FORESTRY AND LOGGING
14
3
FISHING AND AQUACULTURE
59
5
MINING OF COAL AND LIGNITE
11
6
EXTRACTION OF CRUDE PETROLEUM AND NATURAL GAS
1
7
MINING OF METAL ORES
3
8
OTHER MINING AND QUARRYING
32
9
MINING SUPPORT SERVICE ACTIVITIES
14
10
MANUFACTURE OF FOOD PRODUCTS
0
11
MANUFACTURE OF BEVERAGES
18
12
MANUFACTURE OF TOBACCO PRODUCTS
3
13
MANUFACTURE OF TEXTILES
14
14
MANUFACTURE OF WEARING APPAREL
3
15
MANUFACTURE OF LEATHER AND RELATED PRODUCTS
2
16
MANUFACTURE OF WOOD AND OF PRODUCTS OF WOOD AND CORK, EXCEPT FURNITURE; MANUFACTURE OF ARTICLES OF STRAW AND PLAITING MATERIALS
17
17
MANUFACTURE OF PAPER AND PAPER PRODUCTS
2
18
PRINTING AND REPRODUCTION OF RECORDED MEDIA
2
19
MANUFACTURE OF COKE AND REFINED PETROLEUM PRODUCTS
0
20
MANUFACTURE OF CHEMICALS AND CHEMICAL PRODUCTS
1
21
MANUFACTURE OF BASIC PHARMACEUTICAL PRODUCTS AND PHARMACEUTICAL PREPARATIONS
1
22
MANUFACTURE OF RUBBER AND PLASTICS PRODUCTS
6
23
MANUFACTURE OF OTHER NON-METALLIC MINERAL PRODUCTS
2
24
MANUFACTURE OF BASIC METALS
2
25
MANUFACTURE OF FABRICATED METAL PRODUCTS, EXCEPT MACHINERY AND EQUIPMENT
1
26
MANUFACTURE OF COMPUTER, ELECTRONIC AND OPTICAL PRODUCTS
0
27
MANUFACTURE OF ELECTRICAL EQUIPMENT
1
28
MANUFACTURE OF MACHINERY AND EQUIPMENT N.E.C.
1
29
MANUFACTURE OF MOTOR VEHICLES, TRAILERS AND SEMI-TRAILERS
1
30
MANUFACTURE OF OTHER TRANSPORT EQUIPMENT
0
31
MANUFACTURE OF FURNITURE
14
32
OTHER MANUFACTURING
52
33
REPAIR AND INSTALLATION OF MACHINERY AND EQUIPMENT
26
35
ELECTRICITY, GAS, STEAM AND AIR CONDITIONING SUPPLY
15
36
WATER COLLECTION, TREATMENT AND SUPPLY
13
37
SEWERAGE
2
38
WASTE COLLECTION, TREATMENT AND DISPOSAL ACTIVITIES; MATERIALS RECOVERY
0
39
REMEDIATION ACTIVITIES AND OTHER WASTE MANAGEMENT SERVICES
0
41
CONSTRUCTION OF BUILDINGS
337
42
CIVIL ENGINEERING
10
43
SPECIALIZED CONSTRUCTION ACTIVITIES
28
45
WHOLESALE AND RETAIL TRADE AND REPAIR OF MOTOR VEHICLES AND MOTORCYCLES
11
46
WHOLESALE TRADE, EXCEPT OF MOTOR VEHICLES AND MOTORCYCLES
33
47
RETAIL TRADE, EXCEPT OF MOTOR VEHICLES AND MOTORCYCLES
4
49
LAND TRANSPORT AND TRANSPORT VIA PIPELINES
4
50
WATER TRANSPORT
24
51
AIR TRANSPORT
4
52
WAREHOUSING AND SUPPORT ACTIVITIES FOR TRANSPORTATION
12
53
POSTAL AND COURIER ACTIVITIES
2
55
ACCOMMODATION
41
56
FOOD AND BEVERAGE SERVICE ACTIVITIES
20
58
PUBLISHING ACTIVITIES
4
59
MOTION PICTURE, VIDEO AND TELEVISION PROGRAMME PRODUCTION, SOUND RECORDING AND MUSIC PUBLISHING ACTIVITIES
6
60
PROGRAMMING AND BROADCASTING ACTIVITIES
2
61
TELECOMMUNICATIONS
21
62
COMPUTER PROGRAMMING, CONSULTANCY AND RELATED ACTIVITIES
4
63
INFORMATION SERVICE ACTIVITIES
6
64
FINANCIAL SERVICE ACTIVITIES, EXCEPT INSURANCE AND PENSION FUNDING
27
65
INSURANCE, REINSURANCE AND PENSION FUNDING, EXCEPT COMPULSORY SOCIAL SECURITY
1
66
ACTIVITIES AUXILIARY TO FINANCIAL SERVICE AND INSURANCE ACTIVITIES
1
68
REAL ESTATE ACTIVITIES
2
69
LEGAL AND ACCOUNTING ACTIVITIES
22
70
ACTIVITIES OF HEAD OFFICES; MANAGEMENT CONSULTANCY ACTIVITIES
3
71
ARCHITECTURAL AND ENGINEERING ACTIVITIES; TECHNICAL TESTING AND ANALYSIS
3
72
SCIENTIFIC RESEARCH AND DEVELOPMENT
3
73
ADVERTISING AND MARKET RESEARCH
0
74
OTHER PROFESSIONAL, SCIENTIFIC AND TECHNICAL ACTIVITIES
4
75
VETERINARY ACTIVITIES
2
77
RENTAL AND LEASING ACTIVITIES
0
78
EMPLOYMENT ACTIVITIES
3
79
TRAVEL AGENCY, TOUR OPERATOR, RESERVATION SERVICE AND RELATED ACTIVITIES
13
80
SECURITY AND INVESTIGATION ACTIVITIES
60
81
SERVICES TO BUILDINGS AND LANDSCAPE ACTIVITIES
4
82
OFFICE ADMINISTRATIVE, OFFICE SUPPORT AND OTHER BUSINESS SUPPORT ACTIVITIES
19
84
PUBLIC ADMINISTRATION AND DEFENCE; COMPULSORY SOCIAL SECURITY
97
85
EDUCATION
246
86
HUMAN HEALTH ACTIVITIES
78
87
RESIDENTIAL CARE ACTIVITIES
6
88
SOCIAL WORK ACTIVITIES WITHOUT ACCOMMODATION
23
90
CREATIVE, ARTS AND ENTERTAINMENT ACTIVITIES
14
91
LIBRARIES, ARCHIVES, MUSEUMS AND OTHER CULTURAL ACTIVITIES
3
92
GAMBLING AND BETTING ACTIVITIES
0
93
SPORTS ACTIVITIES AND AMUSEMENT AND RECREATION ACTIVITIES
8
94
ACTIVITIES OF MEMBERSHIP ORGANIZATIONS
8
95
REPAIR OF COMPUTERS AND PERSONAL AND HOUSEHOLD GOODS
1
96
OTHER PERSONAL SERVICE ACTIVITIES
102
97
ACTIVITIES OF HOUSEHOLDS AS EMPLOYERS OF DOMESTIC PERSONNEL
152
98
UNDIFFERENTIATED GOODS- AND SERVICES-PRODUCING ACTIVITIES OF PRIVATE HOUSEHOLDS FOR OWN USE
6
99
ACTIVITIES OF EXTRATERRITORIAL ORGANIZATIONS AND BODIES
6
101
PROCESSING AND PRESERVING OF MEAT
0
102
PROCESSING AND PRESERVING OF FISH, CRUSTACEANS AND MOLLUSKS
1
103
PROCESSING AND PRESERVING OF FRUIT AND VEGETABLES
1
104
MANUFACTURE OF VEGETABLE AND ANIMAL OILS AND FATS
0
105
MANUFACTURE OF DAIRY PRODUCTS
5
106
MANUFACTURE OF GRAIN MILL PRODUCTS, STARCHES AND STARCH PRODUCTS
22
107
MANUFACTURE OF OTHER FOOD PRODUCTS
28
108
MANUFACTURE OF PREPARED ANIMAL FEEDS
1
471
RETAIL SALE IN NON-SPECIALIZED STORES
7
472
RETAIL SALE OF FOOD, BEVERAGES AND TOBACCO IN SPECIALIZED STORES
18
473
RETAIL SALE OF AUTOMOTIVE FUEL IN SPECIALIZED STORES
7
474
RETAIL SALE OF INFORMATION AND COMMUNICATIONS EQUIPMENT IN SPECIALIZED STORES
5
475
RETAIL SALE OF OTHER HOUSEHOLD EQUIPMENT IN SPECIALIZED STORES
9
476
RETAIL SALE OF CULTURAL AND RECREATION GOODS IN SPECIALIZED STORES
2
477
RETAIL SALE OF OTHER GOODS IN SPECIALIZED STORES
52
478
RETAIL SALE VIA STALLS AND MARKETS
125
479
RETAIL TRADE NOT IN STORES, STALLS OR MARKETS
52
491
TRANSPORT VIA RAILWAYS
3
492
OTHER LAND TRANSPORT
47
493
TRANSPORT VIA PIPELINE
0
561
RESTAURANTS AND MOBILE FOOD SERVICE ACTIVITIES
65
562
EVENT CATERING AND OTHER FOOD SERVICE ACTIVITIES
30
563
BEVERAGE SERVING ACTIVITIES
21
921
1
2923
1
4921
URBAN AND SUBURBAN PASSENGER LAND TRANSPORT
58
4922
OTHER PASSENGER LAND TRANSPORT
37
4923
FREIGHT TRANSPORT BY ROAD
44
Sysmiss
21469
How many people altogether work at the place where you do this work?
3928
21484
0
8000
How long does it take you to get to work from here? - HR
3948
21464
0
8
0
2893
1
730
2
218
3
72
4
17
5
6
6
8
7
2
8
2
Sysmiss
21464
How long does it take you to get to work from here? - MIN
3948
21464
0
59
Do you receive wages, salary or other payments either in cash or in other forms
3953
21459
1
2
1
YES
3942
2
NO
11
Sysmiss
21459
What is the main reason you receive no payment for this work?
11
25401
1
3
1
APPRENTICESHIP OR UNPAID TRAINEESHIP
3
2
LABOR PAYING OFF DEBT
0
3
OTHER (SPECIFY)
8
Sysmiss
25401
How much was your last payment? IF RESPONDENT HAS NOT YET BEEN PAID, ASK: What p
3910
21502
0
6423000
What period of time did this payment cover?
3920
21492
1
8
1
HOUR
46
2
DAY
1309
3
WEEK
716
4
FORTNIGHT
147
5
MONTH
1664
6
QUATOR
19
7
HALF YEAR
6
8
YEAR
13
Sysmiss
21492
Do you receive any payment for this work in any other form?
3932
21480
1
2
1
YES
878
2
NO
3054
Sysmiss
21480
What is the value of those payments?
875
24537
60
10000000
Over what time interval?
876
24536
1
8
1
HOUR
10
2
DAY
299
3
WEEK
91
4
FORTNIGHT
19
5
MONTH
432
6
QUATOR
7
7
HALF YEAR
7
8
YEAR
11
Sysmiss
24536
During the last 12 months, for how many months did you work in this job?
3951
21461
0
12
0
63
1
613
2
362
3
326
4
302
5
156
6
236
7
120
8
132
9
87
10
116
11
105
12
1333
Sysmiss
21461
During the last 12 months, how many weeks per month do you usually work in this
3948
21464
0
5
0
22
1
568
2
533
3
186
4
2492
5
147
Sysmiss
21464
During the last 12 months, how many hours per week do you usually work in this j
3942
21470
0
168
In the last 7 days, how many hours did you work in this job?
3942
21470
0
168
What type of position does [NAME] hold?
3949
21463
1
6
1
PERMANENT
476
2
FIXED-TERM WITH DURATION GREATER THAN OR EQUAL TO 1 YEAR - WITH PENSION
171
3
FIXED-TERM WITH DURATION GREATER THAN OR EQUAL TO 1 YEAR - WITHOUT PENSION
401
4
TEMPORARY / SEASONAL / FREELANCE - WITH PENSION
34
5
TEMPORARY / SEASONAL / FREELANCE - WITHOUT PENSION
2776
6
OWN ACCOUNT
91
Sysmiss
21463
Does this job have a contract?
3949
21463
1
2
1
YES
918
2
NO
3031
Sysmiss
21463
Is [NAME] enrolled in a health insurance plan in this job?
3949
21463
1
2
1
YES
382
2
NO
3567
Sysmiss
21463
Other than the job just listed, have you had any other sort of wage employment i
3952
21460
1
2
1
YES
182
2
NO
3770
Sysmiss
21460
Is your main employer in this secondary wage work …
182
25230
1
9
1
CENTRAL GOV
3
2
LOCAL GOV
4
3
PARASTATAL
1
4
POLITICAL PARTY
1
5
COOPERATIVE
2
6
NGO
0
7
INT'L ORG
0
8
RELIGIOUS ORG
1
9
PRIVATE SECTOR
170
10
OTHER (SPECIFY)
0
Sysmiss
25230
What kind of work do you usually do in this (second) job? - DESC
182
0
DALALI WA DAGAA
1
DEREVA
1
DEREVA BODABODA
1
DEREVA WA DALADALA
1
DJ KWENYE SHEREHE
1
FUNDI CHEREHANI
1
FUNDI MASHINE
1
FUNDI RANGI
1
FUNDI SEREMALA
1
FUNDI UJENZI
1
KARANI KUPIMISHA KOROSHO
1
KATIBU WA CHAMA
1
KAZI ZA NDANI
1
KIBARUA CHA KUBEBA TOFAL
1
KIBARUA CHA KUFYATUA MAT
1
KIBARUA CHA KUFYATUA TOF
1
KIBARUA CHA KULIMA
2
KIBARUA CHA KUSOMBA TOFA
1
KIBARUA SHAMBA
1
KIBARUA UJENZI
1
KIBARUA WA UJENZI
2
KIBARUA/KUFYATUA TOFARI
1
KILIMO
1
KINYOZI
1
KONDA WA GARI
1
KONDAKTA WA DALADALA
1
KUANDIKISHA MAJINA NIDA
1
KUBEBA CHUMVI
1
KUBEBA MCHANGA
1
KUBEBA MIZIGO
1
KUBEBA MIZIGO YA ABIRIA
1
KUBEBA MIZIGO YA WATALII
1
KUCHAMBUA TUMBAKU
1
KUCHEZESHA POOL
1
KUCHIMBA CHOO
2
KUCHIMBA MADINI
3
KUCHIMBA MAWE YA KUJENGA
1
KUCHIMBA MCHANGA
1
KUCHIMBA MITARO
1
KUCHOTA MAJI
2
KUCHUNGA MBUZI
1
KUENDESHA MASHINE YA VIF
1
KUENDESHA PIKIPIKI
1
KUEZEKA NYUMBA
1
KUFANYA USAFI HOTELINI
1
KUFUMA SHUKA
1
KUFUNDISHA
1
KUFUNDISHA DINI
1
KUFUNDISHA SEKONDARI
1
KUFYATUA MATOFALI
3
KUFYATUA TOFALI
2
KUFYATUA TOFARI
1
KUHESABU BOKSI ZA VIATU
1
KUHUDUMIA BAR
1
KUJENGA BAFU
1
KUJENGA NYUMBA
5
KUKATA NYASI NA KULISHA
1
KUKATA NYASI NAKULISHA M
1
KULIMA
21
KULIMA SHAMBA
4
KULIMA SHAMBANI
2
KULIMIA NA KUPAKIA MBOLE
1
KULISHA MIFUGO
1
KUNUNUA MAHINDI
2
KUNUNUA MAZAO
1
KUNUNUA PAMBA
1
KUOSHA MAWE YA DHAHABU
1
KUPAKI VYANDARUA
1
KUPAKIA GUNIA ZA MAZAO
1
KUPAKIA PAMBA
2
KUPAKUA MIZIGO
1
KUPALILIA
1
KUPALILIA MAHINDI
4
KUPALILIA MAZAO
1
KUPALILIA MIKOROSHO
1
KUPALILIA MITARO BARABAR
1
KUPALILIA NANASI
1
KUPALILIA SHAMBA
1
KUPASUA MBAO
4
KUPIGA KOKOTO
1
KUPIGA MUZIKI
1
KUPIGA PICHA KWA KUTUMIA
1
KUPIKA CHAKULA
1
KUPIMA VITALU
1
KUPONDA KOKOTO
1
KUPONDA MAWE YA DHAHABU
1
KUSAGA MASHINENI
1
KUSAGA NAFAKA
1
KUSAIDIA UJENZI
1
KUSHINDILIA MAGUNIA PAMB
1
KUSHONA MAGUNIA
1
KUSHUSHA MAGUNIA YA MAHI
1
KUSIMAMIA UJENZI
1
KUSIMAMIA VIBARUA SHAMBA
1
KUSOMBA MAJI
2
KUSOMBA MAJI YA KUJENGEA
1
KUSUKA NONDO
1
KUTENGENEZA POMBE
1
KUTENGEZA SABUNI/MAFUTA
1
KUTOA LESENI YA DALADALA
1
KUUZA CHAKULA
2
KUUZA DAWA
2
KUUZA DUKA
1
KUUZA DUKANI
3
KUUZA MAJI YA TENKI
1
KUUZA MCHELE
1
KUUZA NGUO
1
KUVUA SAMAKI
2
KUVUNA CHUNGWA
1
KUVUNA KARANGA
2
KUVUNA MAZAO
1
KUWEKA VIPIMO VYA BARABA
1
MAABARA HOSPITAL
1
MGAMBO
1
MHUDUMU WA AFYA
1
MSIMAMIZI WA MAUZO
1
MUHUDUMU MAMA LISHE
1
MWENYEKITI SACCOS
1
PRINTING OPERATOR
1
SAIDIA FUNDI
1
SALUN YA KIUME
1
UHUDUMU
1
UKAGUZI WA MAHESABU
1
ULINZI
2
UPAKAJI RANGI NYUMBA
1
USAFI/MADRASA
1
UVUVI
3
What kind of work do you usually do in this (second) job? - CODE
182
0
212
1
221
1
222
1
231
1
31
2
331
1
342
1
343
1
347
1
348
2
415
2
511
1
512
2
513
3
514
4
516
17
520
3
532
2
611
19
612
1
614
2
621
3
71
1
711
1
712
2
713
7
714
1
721
1
723
1
732
1
734
2
749
2
814
1
823
1
824
2
825
1
826
1
829
1
832
4
91
1
911
2
912
1
913
3
914
3
916
2
919
4
921
32
93
10
931
10
932
1
933
6
934
6
What kind of trade or business is it connected with? - DESC
182
0
AFYA BINADAMU
1
ANANUNUA NA KUUZA DAGAAR
1
BIASHARA DUKA
1
BIASHARA VIAZI
1
BIASHARA YA BAHATINASIBU
1
BIASHARA YA DAGAA JUMLA
1
BIASHARA YA DUKA
1
BIASHARA YA FEDHA
1
BIASHARA YA MAZAO
1
BIASHARA YA NGUO
1
BIASHARA YA SABUNI MAFUT
1
BIASHARA YA SAMAKI JUMLA
1
DUKA LA BIDHAA ZA MLAJI
2
DUKA LA VINYWAJI
1
ELIMU
1
ELIMU YA SEKONDARI
1
FUNDI MASHINE
1
HUDUMA YA SALUN-KIUME
1
HUDUMA YA USAFIRI WA PIK
1
HUDUMA ZA KIROHO-DINI
1
HUDUMA ZINAZOHUSIANA AFY
1
KAZI ZA NDANI
1
KILIMO
36
KILIMO CHA MAHINDI
3
KILIMO CHA NGANO
1
KIWANDA SAMANI
1
KUANDIKISHA VITAMBULISHO
1
KUCHIMBA NA KUUZA DHAHAB
1
KUENDESHA GARI
1
KUFYATUA NA KUUZA MATOFA
1
KUGAWA CHAKULA CHA MSAAD
1
KUJENGA NYUMBA
2
KUKAGUA MAHESABU KATIKA
1
KULIMA
1
KULIMA KAHAWA
1
KULIMA MATIKITI
1
KUNUNUA NA KUUZA KOROSHO
1
KUNUNUA NA KUUZA MAHINDI
2
KUNUNUA NA KUUZA TUMBAKU
1
KUNUNUA NA KUUZA VINYWAJ
1
KUNUNUA PAMBA NA KUUZA
1
KUPIGA PICHA KWA VIDEO
1
KUPIGISHA MZIKI WA SHERE
1
KUSHONA NGUO
1
KUSIMAMIA USAFIRI NCHINI
1
KUTENGENEZA BARABARA
2
KUTENGENEZA BIDHAAZAPLAS
1
KUTENGENEZA FANICHA
1
KUTENGENEZA VIATU VYA PL
1
KUTOA HUDUMA YA DAWA
1
KUTOA HUDUMA ZA MALAZI
1
KUUZA CHAKULA
2
KUUZA DHAHABU
1
KUUZA KOKOTO
2
KUUZA MADAWA YA MIFUGO
1
KUUZA MADINI
1
KUUZA MAJI YA TENKI
1
KUUZA MATOFALI
1
KUUZA MCHANGA
1
KUUZA MCHELE
1
KUUZA POMBE
1
KUUZA SAMAKI
1
KUUZA SHUKA
1
MAJI YA KUJENGEA
1
MAKANDARASI WA MAJENGO
1
MAMA LISHE
1
MAMA NTILIE
1
MASHINE YA KUSAGA NAFAKA
1
MFANYABIASHARA
2
MIFUGO
1
MKULIMA
2
MKULIMA CHUNGWA
1
MKULIMA MFUGAJI
1
MUZIKI
1
MWALIMU
1
NYUMBANI
1
SALOON YA KIUME
1
SIASA
1
TRA
1
UCHIMBAJI WA MADINI
1
UFUGAJI
2
UJENZI
16
UJENZI BARABARA
1
UJENZI NYUMBA
3
UJENZI WA CHOO
1
UJENZI WA MAJUMBA
1
UJENZI WA NYUMBA
11
ULINZI
2
ULINZI NA USALAMA
1
USAFIRISHAJI
6
USAFIRISHAJI ABIRIA
2
USAGAJI NAFAKA MASHINENI
1
UTALII
1
UTENGENEZAJI ICECREAM
1
UTENGENEZAJI MIFUKO
1
UTENGENEZAJI VYANDARUA
1
UUZAJI MADINI YA DHAHABU
1
UUZAJI MAZAO
1
UUZAJI VIWANJA
1
UVUVI
2
WANAFUNDISHA DINI/ISLAM
1
What kind of trade or business is it connected with? - CODE
182
25230
1
4922
1
CROP AND ANIMAL PRODUCTION, HUNTING AND RELATED SERVICE ACTIVITIES
50
2
FORESTRY AND LOGGING
0
3
FISHING AND AQUACULTURE
2
5
MINING OF COAL AND LIGNITE
1
6
EXTRACTION OF CRUDE PETROLEUM AND NATURAL GAS
0
7
MINING OF METAL ORES
0
8
OTHER MINING AND QUARRYING
3
9
MINING SUPPORT SERVICE ACTIVITIES
0
10
MANUFACTURE OF FOOD PRODUCTS
0
11
MANUFACTURE OF BEVERAGES
0
12
MANUFACTURE OF TOBACCO PRODUCTS
0
13
MANUFACTURE OF TEXTILES
1
14
MANUFACTURE OF WEARING APPAREL
0
15
MANUFACTURE OF LEATHER AND RELATED PRODUCTS
0
16
MANUFACTURE OF WOOD AND OF PRODUCTS OF WOOD AND CORK, EXCEPT FURNITURE; MANUFACTURE OF ARTICLES OF STRAW AND PLAITING MATERIALS
0
17
MANUFACTURE OF PAPER AND PAPER PRODUCTS
0
18
PRINTING AND REPRODUCTION OF RECORDED MEDIA
0
19
MANUFACTURE OF COKE AND REFINED PETROLEUM PRODUCTS
0
20
MANUFACTURE OF CHEMICALS AND CHEMICAL PRODUCTS
0
21
MANUFACTURE OF BASIC PHARMACEUTICAL PRODUCTS AND PHARMACEUTICAL PREPARATIONS
0
22
MANUFACTURE OF RUBBER AND PLASTICS PRODUCTS
3
23
MANUFACTURE OF OTHER NON-METALLIC MINERAL PRODUCTS
0
24
MANUFACTURE OF BASIC METALS
0
25
MANUFACTURE OF FABRICATED METAL PRODUCTS, EXCEPT MACHINERY AND EQUIPMENT
0
26
MANUFACTURE OF COMPUTER, ELECTRONIC AND OPTICAL PRODUCTS
0
27
MANUFACTURE OF ELECTRICAL EQUIPMENT
0
28
MANUFACTURE OF MACHINERY AND EQUIPMENT N.E.C.
0
29
MANUFACTURE OF MOTOR VEHICLES, TRAILERS AND SEMI-TRAILERS
0
30
MANUFACTURE OF OTHER TRANSPORT EQUIPMENT
0
31
MANUFACTURE OF FURNITURE
2
32
OTHER MANUFACTURING
3
33
REPAIR AND INSTALLATION OF MACHINERY AND EQUIPMENT
1
35
ELECTRICITY, GAS, STEAM AND AIR CONDITIONING SUPPLY
0
36
WATER COLLECTION, TREATMENT AND SUPPLY
0
37
SEWERAGE
0
38
WASTE COLLECTION, TREATMENT AND DISPOSAL ACTIVITIES; MATERIALS RECOVERY
0
39
REMEDIATION ACTIVITIES AND OTHER WASTE MANAGEMENT SERVICES
1
41
CONSTRUCTION OF BUILDINGS
36
42
CIVIL ENGINEERING
1
43
SPECIALIZED CONSTRUCTION ACTIVITIES
1
45
WHOLESALE AND RETAIL TRADE AND REPAIR OF MOTOR VEHICLES AND MOTORCYCLES
0
46
WHOLESALE TRADE, EXCEPT OF MOTOR VEHICLES AND MOTORCYCLES
3
47
RETAIL TRADE, EXCEPT OF MOTOR VEHICLES AND MOTORCYCLES
1
49
LAND TRANSPORT AND TRANSPORT VIA PIPELINES
0
50
WATER TRANSPORT
0
51
AIR TRANSPORT
0
52
WAREHOUSING AND SUPPORT ACTIVITIES FOR TRANSPORTATION
0
53
POSTAL AND COURIER ACTIVITIES
0
55
ACCOMMODATION
1
56
FOOD AND BEVERAGE SERVICE ACTIVITIES
1
58
PUBLISHING ACTIVITIES
0
59
MOTION PICTURE, VIDEO AND TELEVISION PROGRAMME PRODUCTION, SOUND RECORDING AND MUSIC PUBLISHING ACTIVITIES
1
60
PROGRAMMING AND BROADCASTING ACTIVITIES
0
61
TELECOMMUNICATIONS
0
62
COMPUTER PROGRAMMING, CONSULTANCY AND RELATED ACTIVITIES
0
63
INFORMATION SERVICE ACTIVITIES
0
64
FINANCIAL SERVICE ACTIVITIES, EXCEPT INSURANCE AND PENSION FUNDING
1
65
INSURANCE, REINSURANCE AND PENSION FUNDING, EXCEPT COMPULSORY SOCIAL SECURITY
0
66
ACTIVITIES AUXILIARY TO FINANCIAL SERVICE AND INSURANCE ACTIVITIES
1
68
REAL ESTATE ACTIVITIES
0
69
LEGAL AND ACCOUNTING ACTIVITIES
1
70
ACTIVITIES OF HEAD OFFICES; MANAGEMENT CONSULTANCY ACTIVITIES
0
71
ARCHITECTURAL AND ENGINEERING ACTIVITIES; TECHNICAL TESTING AND ANALYSIS
0
72
SCIENTIFIC RESEARCH AND DEVELOPMENT
0
73
ADVERTISING AND MARKET RESEARCH
0
74
OTHER PROFESSIONAL, SCIENTIFIC AND TECHNICAL ACTIVITIES
0
75
VETERINARY ACTIVITIES
0
77
RENTAL AND LEASING ACTIVITIES
0
78
EMPLOYMENT ACTIVITIES
0
79
TRAVEL AGENCY, TOUR OPERATOR, RESERVATION SERVICE AND RELATED ACTIVITIES
1
80
SECURITY AND INVESTIGATION ACTIVITIES
3
81
SERVICES TO BUILDINGS AND LANDSCAPE ACTIVITIES
0
82
OFFICE ADMINISTRATIVE, OFFICE SUPPORT AND OTHER BUSINESS SUPPORT ACTIVITIES
3
84
PUBLIC ADMINISTRATION AND DEFENCE; COMPULSORY SOCIAL SECURITY
0
85
EDUCATION
4
86
HUMAN HEALTH ACTIVITIES
3
87
RESIDENTIAL CARE ACTIVITIES
0
88
SOCIAL WORK ACTIVITIES WITHOUT ACCOMMODATION
0
90
CREATIVE, ARTS AND ENTERTAINMENT ACTIVITIES
2
91
LIBRARIES, ARCHIVES, MUSEUMS AND OTHER CULTURAL ACTIVITIES
0
92
GAMBLING AND BETTING ACTIVITIES
0
93
SPORTS ACTIVITIES AND AMUSEMENT AND RECREATION ACTIVITIES
1
94
ACTIVITIES OF MEMBERSHIP ORGANIZATIONS
1
95
REPAIR OF COMPUTERS AND PERSONAL AND HOUSEHOLD GOODS
0
96
OTHER PERSONAL SERVICE ACTIVITIES
5
97
ACTIVITIES OF HOUSEHOLDS AS EMPLOYERS OF DOMESTIC PERSONNEL
1
98
UNDIFFERENTIATED GOODS- AND SERVICES-PRODUCING ACTIVITIES OF PRIVATE HOUSEHOLDS FOR OWN USE
0
99
ACTIVITIES OF EXTRATERRITORIAL ORGANIZATIONS AND BODIES
0
101
PROCESSING AND PRESERVING OF MEAT
0
102
PROCESSING AND PRESERVING OF FISH, CRUSTACEANS AND MOLLUSKS
0
103
PROCESSING AND PRESERVING OF FRUIT AND VEGETABLES
0
104
MANUFACTURE OF VEGETABLE AND ANIMAL OILS AND FATS
0
105
MANUFACTURE OF DAIRY PRODUCTS
0
106
MANUFACTURE OF GRAIN MILL PRODUCTS, STARCHES AND STARCH PRODUCTS
0
107
MANUFACTURE OF OTHER FOOD PRODUCTS
0
108
MANUFACTURE OF PREPARED ANIMAL FEEDS
0
471
RETAIL SALE IN NON-SPECIALIZED STORES
0
472
RETAIL SALE OF FOOD, BEVERAGES AND TOBACCO IN SPECIALIZED STORES
5
473
RETAIL SALE OF AUTOMOTIVE FUEL IN SPECIALIZED STORES
0
474
RETAIL SALE OF INFORMATION AND COMMUNICATIONS EQUIPMENT IN SPECIALIZED STORES
0
475
RETAIL SALE OF OTHER HOUSEHOLD EQUIPMENT IN SPECIALIZED STORES
0
476
RETAIL SALE OF CULTURAL AND RECREATION GOODS IN SPECIALIZED STORES
0
477
RETAIL SALE OF OTHER GOODS IN SPECIALIZED STORES
1
478
RETAIL SALE VIA STALLS AND MARKETS
14
479
RETAIL TRADE NOT IN STORES, STALLS OR MARKETS
9
491
TRANSPORT VIA RAILWAYS
0
492
OTHER LAND TRANSPORT
0
493
TRANSPORT VIA PIPELINE
0
561
RESTAURANTS AND MOBILE FOOD SERVICE ACTIVITIES
2
562
EVENT CATERING AND OTHER FOOD SERVICE ACTIVITIES
2
563
BEVERAGE SERVING ACTIVITIES
0
4921
URBAN AND SUBURBAN PASSENGER LAND TRANSPORT
6
4922
OTHER PASSENGER LAND TRANSPORT
4
4923
FREIGHT TRANSPORT BY ROAD
0
Sysmiss
25230
How many people altogether work at the place where you do this work?
182
25230
0
600
How long does it take you to get to work from here? - HR
180
25232
0
8
0
134
1
33
2
8
3
3
4
1
8
1
Sysmiss
25232
How long does it take you to get to work from here? - MIN
181
25231
0
45
Does [NAME] receive wages, salary or other payments either in cash or in other f
181
25231
1
2
1
YES
177
2
NO
4
Sysmiss
25231
What is the main reason you receive no payment for this work?
4
25408
1
3
1
APPRENTICESHIP OR UNPAID TRAINEESHIP
3
2
LABOR PAYING OFF DEBT
0
3
OTHER (SPECIFY)
1
Sysmiss
25408
How much was your last payment? IF RESPONDENT HAS NOT YET BEEN PAID, ASK: What p
177
25235
0
1400000
Over what time interval?
177
25235
1
6
1
HOUR
3
2
DAY
77
3
WEEK
38
4
FORTNIGHT
13
5
MONTH
45
6
QUATOR
1
7
HALF YEAR
0
8
YEAR
0
Sysmiss
25235
Does [NAME] receive any payment for this work in any other form?
177
25235
1
2
1
YES
34
2
NO
143
Sysmiss
25235
What is the value of those payments?
34
25378
300
200000
Over what time interval?
34
25378
2
5
1
HOUR
0
2
DAY
16
3
WEEK
9
4
FORTNIGHT
0
5
MONTH
9
6
QUATOR
0
7
HALF YEAR
0
8
YEAR
0
Sysmiss
25378
During the last 12 months, for how many months did you work in this job?
181
25231
0
12
0
4
1
61
2
25
3
25
4
24
5
5
6
12
7
2
8
4
9
4
11
2
12
13
Sysmiss
25231
During the last 12 months, how many weeks per month do you usually work in this
181
25231
0
5
0
1
1
41
2
36
3
10
4
90
5
3
Sysmiss
25231
During the last 12 months, how many hours per week do you usually work in this j
181
25231
0
120
In the last 7 days, how many hours did [NAME] work in this job?
181
25231
0
92
What kind of position does [NAME] hold?? - CODE
182
25230
1
6
1
PERMANENT
3
2
FIXED-TERM WITH DURATION GREATER THAN OR EQUAL TO 1 YEAR - WITH PENSION
1
3
FIXED-TERM WITH DURATION GREATER THAN OR EQUAL TO 1 YEAR - WITHOUT PENSION
9
4
TEMPORARY / SEASONAL / FREELANCE - WITH PENSION
0
5
TEMPORARY / SEASONAL / FREELANCE - WITHOUT PENSION
167
6
OWN ACCOUNT
2
Sysmiss
25230
Does this job have a contract?
182
25230
1
2
1
YES
21
2
NO
161
Sysmiss
25230
Is [NAME] enrolled in a health insurance plan in this job?
182
25230
1
2
1
YES
2
2
NO
180
Sysmiss
25230
Of the two wage jobs [NAME] just listed, which one did [NAME] spend most of [NAM
178
0
13
1
21
1
212
1
221
1
242
1
31
1
312
1
315
1
331
1
339
1
343
1
347
2
511
1
512
7
513
3
514
2
516
13
520
7
531
1
532
3
611
19
614
1
621
2
711
2
712
3
713
2
714
1
732
1
734
1
735
1
743
1
749
2
80
1
814
3
825
2
827
2
829
2
832
6
91
1
911
1
912
1
913
3
914
1
915
2
919
3
921
50
93
3
930
1
931
5
932
1
933
3
X31
1
IS THE ANSWER TO QUESTION 4A OR 8A 'YES'?
21294
4118
1
2
1
YES
292
2
NO
21002
Sysmiss
4118
What kind of work does [NAME] usually do in this unpaid apprenticeship? - DESC.
292
0
AFISA MAHUSIANO
1
AIR TICKETER
1
ALIJIFUNZA KUENDESHA BAI
1
CASHIER
1
COMPUTER
1
COMPYUTA
1
DEREVA
1
DEREVA WA MAGARI
1
FUNDI CHERAHANI
1
FUNDI CHEREHANI
6
FUNDI MAGARI
10
FUNDI MAKANIKA
1
FUNDI MAKENIKA
2
FUNDI MILANGO
1
FUNDI NGUO
2
FUNDI PIKIPIKI
3
FUNDI RADIO
1
FUNDI SAMANI
1
FUNDI SELEMALA
3
FUNDI SELEMARA
1
FUNDI SEREMALA
1
FUNDI SEREMARA
1
FUNDI SOFA
1
FUNDI TOFALI
1
FUNDI UASHI
2
FUNDI UJENZI
3
FUNDI UMEME
5
FUNDI WA KUCHOMELEA
1
FUNDI WA UMEME WA MAGARI
1
HOTEL MANAGEMENT
1
HOTELIA
1
HUDUMA YA M PESA
1
JESHI LA KUJENGA TAIFA
1
JKU
2
KILIMO MPUNGA
1
KUCHARGE SIMU
1
KUCHEZA MPIRA
1
KUCHIMBA MADINI
1
KUDARIZI NGUO
1
KUENDESHA BAISKELI
3
KUENDESHA BOTI
1
KUENDESHA GARI
3
KUENDESHA PIKIPIKI
11
KUENDESHA TRECTOR
3
KUFINYANGA VYUNGU
1
KUFUGA SAMAKI
2
KUFUMA VITAMBAA
1
KUFUNDISHA
1
KUFUNDISHA E.W.W
1
KUFUNGA WIRERING
1
KUHUDUMIA WAGONJWA
1
KUHUSU AFYA YA UZAZI
1
KUIGIZA FILAMU
1
KUINGIZA PROGRAMU
1
KUJENGA
1
KUJENGA NYUMBA
11
KUJIFUNZ UDEREVA
1
KUJIFUNZA CHEREHANI
3
KUJIFUNZA KOMPYUTA
1
KUJIFUNZA KUCHOMA TOFARI
1
KUJIFUNZA KUENDESHA TREC
1
KUJIFUNZA KUJENGA NYUMBA
1
KUJIFUNZA KUPASUA MBAO
1
KUJIFUNZA KUSHONA CHEREH
1
KUJIFUNZA KUSHONA NGUO
3
KUJIFUNZA KUTUMIA COMPUT
1
KUJIFUNZA MZIKI
1
KUJIFUNZA PIKIPIKI
1
KUJIFUNZA UDEREVA
1
KUJIFUNZA UFUNDI MAGARI
1
KUKARABATI MIKOKOTENI
1
KULIMA
1
KULISHA NG'OMBE
1
KUPEMBUA UDONGO
1
KUREPEA BAISKELI
1
KURIPAIR MAGARI
1
KUSAGA NAFAKA
1
KUSAMBAZA MADAWA YA BINA
1
KUSHONA
5
KUSHONA CHEREHANI
1
KUSHONA FUNDI CHEREHANI
1
KUSHONA NGUO
45
KUSUKA NYWELE
1
KUSUKA VYUMA
1
KUTENEGENEZA MISHUMAA
1
KUTENGENEZA BATIKI
1
KUTENGENEZA FENICHA
1
KUTENGENEZA FRIJI
1
KUTENGENEZA JENERETA
1
KUTENGENEZA MITUMBWI
1
KUTENGENEZA NYWELE
4
KUTENGENEZA PIKIPIKI
2
KUTENGENEZA SABUNI
1
KUTENGENEZA SOFA-VITI
1
KUTENGENEZA VITENGE
1
KUTENGENEZA VITI
1
KUTIBU WATU KIENYEJI
1
KUTOA ELIMU YA UKIMWI
1
KUTUNZA KUMBUKUMBU
1
MADINI DHAHABU
1
MAFUNZO YA KUSHONA NGUO
1
MAFUNZO YA MGAMBO
1
MAKANIKA
1
MATUMIZI YA COMPUTER
1
MATUMIZI YA COMPYUTA
1
MHASIBU
1
MUSIC PROGRAMING
1
MWALIMU
1
MWALIMU MWANAFUNZI
1
MWALIMU WA DINI
1
MWALIMU/MSINGI
1
MWANAJESHI
1
MWL SHULE YA MSINGI
1
NURSING
1
UALIMU WA SEKONDARI
1
UCHAPAJI
1
UCHOMELEAJI
1
UDAKTARI
1
UDEREVA
5
UDEREVA WA TREKTA
1
UFUGAJI KUKU
1
UFUNDI ALUMINIUM
1
UFUNDI BAJAJI
1
UFUNDI CHEREHANI
4
UFUNDI MAGARI
4
UFUNDI MAKANIKA
1
UFUNDI NGUO
1
UFUNDI PIKIPIKI
1
UFUNDI SELEMALA
1
UFUNDI SEREMALA
5
UFUNDI UMEME WA MAGARI
1
UFUNDI WA ENGINE
1
UFUNDI WA GARI
1
UFUNDI WA MAGARI
3
UFUNDI WA MAKOCHI
1
UFUNDI WA MASHINE ZA BOT
1
UFUNDI WA NYUMBA
1
UFUNDI WA PIKIPIKI
1
UFUNDI WA SIMU NA REDIO
1
UFUNDI WAUSAMBAZAJI KABL
1
UHASIBU
2
UJENZI NYUMBA
1
UJENZI WA NYUMBA
1
ULINZI MIGODINI
1
UMEME WA MAGARI
1
UPANDAJI WA MBEGU BORA
1
USANII WA FILAMU
1
USELEMARA
1
USEREMALA
1
USHONAJI
2
USHONAJI NGUO
6
USHONAJI WA NGUO
1
USHONAJI WA NGUO ZA KIKE
1
USHONI
1
UTAWALA
1
UUGUZI
2
WALIMU
1
What kind of work does [NAME] usually do in this unpaid apprenticeship? - CODE
289
0
012
3
213
3
222
1
223
1
232
1
239
4
241
2
244
1
245
2
31
3
312
2
313
1
322
1
323
2
331
2
333
3
339
1
411
1
413
1
415
1
421
3
512
1
514
2
516
29
520
3
533
6
611
3
614
2
621
3
711
1
712
14
713
13
714
1
721
2
723
22
724
14
732
1
734
33
743
11
744
1
749
7
811
1
814
2
816
2
825
1
826
18
829
2
832
34
834
1
911
1
913
1
93
2
931
1
932
12
933
1
934
1
X3
1
What kind of trade or business was this unpaid apprenticeship connected with? -
292
0
AFYA
1
AFYA JAMII
1
AFYA YA JAMII
1
BIASHARA YA DAWA
1
BIASHARA YA USAMBAZAJI
1
BODABODA USAFIRISHAJI
3
CHUO CHA UFUNDI
1
CHUO CHA UMEME
1
COMPUTER TRAINING
1
COMPUTURE SERVICE
1
ELIMU
6
ELIMU YA COMPUTER
1
ELIMU YA DINI
1
ELIMU YA UKIMWI
1
ELIMU YA UMEME
1
FUNDI
1
FUNDI CHEREHANI
2
FUNDI KUSHONA
1
FUNDI MAGARI
2
FUNDI MAKANIKA
1
FUNDI NGUO
13
FUNDI RADIO TV
1
FUNDI SELEMALA
1
FUNDI SELEMARA
1
FUNDI SEREMALA
3
FUNDI WA KUSHONA
1
FUNDI WA MAGARI
1
GARAGE
1
GARAGE YA MAGARI
1
GEREJI
3
HOTEL
1
HOUSEHOLD
1
HUDUMA YA AFYA
1
HUDUMA ZA AFYA
1
HUDUMA ZA KIDINI
1
KAPENTA
1
KILIMO
3
KIWANDA CHA NGUO
1
KUCHONGA FENICHA
1
KUENDESHA GARI
1
KUFUNDISHA USHONI
1
KUJENGA NYUMBA
2
KUKARABATI MAGARI
3
KUKARABATI MKOKOTENI
1
KURIPAIR MAGARI
1
KUSAFIRISHA ABIRIA
2
KUSAGA NAFAKA
1
KUSHONA
2
KUSHONA NA KUUZA NGUO
2
KUSHONA NGUO
19
KUSHONA NGUO FUNDI CHERE
1
KUSUPPLY UMEME
1
KUTENGENEZA BAISKELI
1
KUTENGENEZA BATIKI
1
KUTENGENEZA COMPUTER
1
KUTENGENEZA FENICHA
2
KUTENGENEZA FREM
1
KUTENGENEZA MAGARI
6
KUTENGENEZA NA KUUZA MIS
1
KUTENGENEZA NA KUUZA SAB
1
KUTENGENEZA PIKIPIKI
3
KUTENGENEZA SAMANI
1
KUTENGENEZA SIMU NA REDI
1
KUTENGENZA PIKIPIKI
1
KUTIBU WATU
1
KUTOA ELIMU
1
KUTUMA PESA NA KUPOKEA
1
KUTUNZA FEDHA
1
KUUZA CHAKULA
1
KUUZA DHAHABU
1
KUUZA MBAO
1
KUUZA NGUO
1
KUUZA SOFA VITI REJAREJA
1
MADINI DHAHABU
1
MAFUNZO YA COMPUTA
1
MAFUNZO YA COMPYUTA
1
MAFUNZO YA MAKENIKA
1
MAHAKAMA HAKIMU MKAZI
1
MATENGENEZO YA MAGARI
1
MAWASILIANO
2
MCHEZO WA MPIRA
1
MFUGAJI
1
MGANGA WA KIENYEJI
1
MKULIMA MPUNGA
1
MMILIKI GEREJI
1
MUSIC RECORDING
1
PIKIPIKI
1
SALOON YA KIKE
2
SAMANI
1
SHIRIKA LA DINI
1
SIDO
1
TAASISI YA DINI
1
UCHIMBAJI MADINI TANZANI
1
UDEREVA
5
UFINYANZI
1
UFUGAJI
1
UFUGAJI SAMAKI
2
UFUNDI CHEREHANI
1
UFUNDI FENICHA
2
UFUNDI MAGARI
1
UFUNDI NGUO
2
UFUNDI PIKIPIKI
1
UFUNDI STADI
1
UFUNDI UMEME WA MAGARI
2
UFUNDI WA BOTI
1
UFUNDI WA JENERETA
1
UFUNDI WA MAGARI
1
UFUNDISHAJI WAFANYAKAZI
1
UIGIZAJI
1
UIGIZAJI WA FILAMU
1
UJENZI
9
UJENZI NYUMBA
3
UJENZI WA NYUMBA
11
UKARABATI MAGARI
1
ULINZI
4
ULINZI NA USALAMA TAIFA
1
ULINZI WA TAIFA
1
UMEME
1
UMILIKI WA GEREJI
1
UREMBO
1
USAFILISHAJI
1
USAFIRISHAJI
17
USAFIRISHAJI ABIRIA
2
USAFIRISHAJI WA ABIRIA
1
USAFIRISHAJI WA MAJINI
1
USEREMALA
4
USEREMARA
1
USHONAJI
8
USHONAJI NGUO
16
USHONAJI NGUO KIKE
1
USHONAJI WA NGUO
10
USHONI
1
USIMAMIZI MALIASILI
1
USUSI WA VITAMBAA
1
USUSIWA NYWELE
1
UTAWALA
1
UTENGENEZAJI FRIJI
1
UTENGENEZAJI MAGARI
1
UTENGENEZAJI MITUMBWI
1
UTENGENEZAJI MUZIKI DINI
1
UTENGENEZAJI NYWELE
1
UTENGENEZAJI PIKIPIKI
1
UTENGENEZAJI SOFA
1
UTENGENEZAJI WA VIFAA
1
UTOAJI ELIMU
1
UUZAJI WA MAFUTA
1
VETA
1
WATENGENEZAJI MAKOCHI
1
WIZARA YA NISHATI MADINI
1
What kind of trade or business was this unpaid apprenticeship connected with? -
289
25123
1
4923
1
CROP AND ANIMAL PRODUCTION, HUNTING AND RELATED SERVICE ACTIVITIES
6
2
FORESTRY AND LOGGING
0
3
FISHING AND AQUACULTURE
2
5
MINING OF COAL AND LIGNITE
0
6
EXTRACTION OF CRUDE PETROLEUM AND NATURAL GAS
0
7
MINING OF METAL ORES
0
8
OTHER MINING AND QUARRYING
2
9
MINING SUPPORT SERVICE ACTIVITIES
1
10
MANUFACTURE OF FOOD PRODUCTS
0
11
MANUFACTURE OF BEVERAGES
0
12
MANUFACTURE OF TOBACCO PRODUCTS
0
13
MANUFACTURE OF TEXTILES
28
14
MANUFACTURE OF WEARING APPAREL
23
15
MANUFACTURE OF LEATHER AND RELATED PRODUCTS
3
16
MANUFACTURE OF WOOD AND OF PRODUCTS OF WOOD AND CORK, EXCEPT FURNITURE; MANUFACTURE OF ARTICLES OF STRAW AND PLAITING MATERIALS
4
17
MANUFACTURE OF PAPER AND PAPER PRODUCTS
0
18
PRINTING AND REPRODUCTION OF RECORDED MEDIA
1
19
MANUFACTURE OF COKE AND REFINED PETROLEUM PRODUCTS
0
20
MANUFACTURE OF CHEMICALS AND CHEMICAL PRODUCTS
0
21
MANUFACTURE OF BASIC PHARMACEUTICAL PRODUCTS AND PHARMACEUTICAL PREPARATIONS
0
22
MANUFACTURE OF RUBBER AND PLASTICS PRODUCTS
0
23
MANUFACTURE OF OTHER NON-METALLIC MINERAL PRODUCTS
1
24
MANUFACTURE OF BASIC METALS
0
25
MANUFACTURE OF FABRICATED METAL PRODUCTS, EXCEPT MACHINERY AND EQUIPMENT
0
26
MANUFACTURE OF COMPUTER, ELECTRONIC AND OPTICAL PRODUCTS
1
27
MANUFACTURE OF ELECTRICAL EQUIPMENT
0
28
MANUFACTURE OF MACHINERY AND EQUIPMENT N.E.C.
1
29
MANUFACTURE OF MOTOR VEHICLES, TRAILERS AND SEMI-TRAILERS
2
30
MANUFACTURE OF OTHER TRANSPORT EQUIPMENT
0
31
MANUFACTURE OF FURNITURE
16
32
OTHER MANUFACTURING
20
33
REPAIR AND INSTALLATION OF MACHINERY AND EQUIPMENT
13
35
ELECTRICITY, GAS, STEAM AND AIR CONDITIONING SUPPLY
3
36
WATER COLLECTION, TREATMENT AND SUPPLY
0
37
SEWERAGE
0
38
WASTE COLLECTION, TREATMENT AND DISPOSAL ACTIVITIES; MATERIALS RECOVERY
0
39
REMEDIATION ACTIVITIES AND OTHER WASTE MANAGEMENT SERVICES
0
41
CONSTRUCTION OF BUILDINGS
23
42
CIVIL ENGINEERING
0
43
SPECIALIZED CONSTRUCTION ACTIVITIES
1
45
WHOLESALE AND RETAIL TRADE AND REPAIR OF MOTOR VEHICLES AND MOTORCYCLES
11
46
WHOLESALE TRADE, EXCEPT OF MOTOR VEHICLES AND MOTORCYCLES
0
47
RETAIL TRADE, EXCEPT OF MOTOR VEHICLES AND MOTORCYCLES
0
49
LAND TRANSPORT AND TRANSPORT VIA PIPELINES
1
50
WATER TRANSPORT
0
51
AIR TRANSPORT
1
52
WAREHOUSING AND SUPPORT ACTIVITIES FOR TRANSPORTATION
1
53
POSTAL AND COURIER ACTIVITIES
0
55
ACCOMMODATION
2
56
FOOD AND BEVERAGE SERVICE ACTIVITIES
0
58
PUBLISHING ACTIVITIES
0
59
MOTION PICTURE, VIDEO AND TELEVISION PROGRAMME PRODUCTION, SOUND RECORDING AND MUSIC PUBLISHING ACTIVITIES
0
60
PROGRAMMING AND BROADCASTING ACTIVITIES
0
61
TELECOMMUNICATIONS
1
62
COMPUTER PROGRAMMING, CONSULTANCY AND RELATED ACTIVITIES
3
63
INFORMATION SERVICE ACTIVITIES
1
64
FINANCIAL SERVICE ACTIVITIES, EXCEPT INSURANCE AND PENSION FUNDING
1
65
INSURANCE, REINSURANCE AND PENSION FUNDING, EXCEPT COMPULSORY SOCIAL SECURITY
0
66
ACTIVITIES AUXILIARY TO FINANCIAL SERVICE AND INSURANCE ACTIVITIES
0
68
REAL ESTATE ACTIVITIES
0
69
LEGAL AND ACCOUNTING ACTIVITIES
1
70
ACTIVITIES OF HEAD OFFICES; MANAGEMENT CONSULTANCY ACTIVITIES
0
71
ARCHITECTURAL AND ENGINEERING ACTIVITIES; TECHNICAL TESTING AND ANALYSIS
0
72
SCIENTIFIC RESEARCH AND DEVELOPMENT
0
73
ADVERTISING AND MARKET RESEARCH
0
74
OTHER PROFESSIONAL, SCIENTIFIC AND TECHNICAL ACTIVITIES
1
75
VETERINARY ACTIVITIES
0
77
RENTAL AND LEASING ACTIVITIES
0
78
EMPLOYMENT ACTIVITIES
1
79
TRAVEL AGENCY, TOUR OPERATOR, RESERVATION SERVICE AND RELATED ACTIVITIES
1
80
SECURITY AND INVESTIGATION ACTIVITIES
5
81
SERVICES TO BUILDINGS AND LANDSCAPE ACTIVITIES
0
82
OFFICE ADMINISTRATIVE, OFFICE SUPPORT AND OTHER BUSINESS SUPPORT ACTIVITIES
0
84
PUBLIC ADMINISTRATION AND DEFENCE; COMPULSORY SOCIAL SECURITY
2
85
EDUCATION
12
86
HUMAN HEALTH ACTIVITIES
6
87
RESIDENTIAL CARE ACTIVITIES
0
88
SOCIAL WORK ACTIVITIES WITHOUT ACCOMMODATION
6
90
CREATIVE, ARTS AND ENTERTAINMENT ACTIVITIES
5
91
LIBRARIES, ARCHIVES, MUSEUMS AND OTHER CULTURAL ACTIVITIES
0
92
GAMBLING AND BETTING ACTIVITIES
0
93
SPORTS ACTIVITIES AND AMUSEMENT AND RECREATION ACTIVITIES
1
94
ACTIVITIES OF MEMBERSHIP ORGANIZATIONS
0
95
REPAIR OF COMPUTERS AND PERSONAL AND HOUSEHOLD GOODS
3
96
OTHER PERSONAL SERVICE ACTIVITIES
31
97
ACTIVITIES OF HOUSEHOLDS AS EMPLOYERS OF DOMESTIC PERSONNEL
1
98
UNDIFFERENTIATED GOODS- AND SERVICES-PRODUCING ACTIVITIES OF PRIVATE HOUSEHOLDS FOR OWN USE
1
99
ACTIVITIES OF EXTRATERRITORIAL ORGANIZATIONS AND BODIES
0
101
PROCESSING AND PRESERVING OF MEAT
0
102
PROCESSING AND PRESERVING OF FISH, CRUSTACEANS AND MOLLUSKS
0
103
PROCESSING AND PRESERVING OF FRUIT AND VEGETABLES
0
104
MANUFACTURE OF VEGETABLE AND ANIMAL OILS AND FATS
0
105
MANUFACTURE OF DAIRY PRODUCTS
0
106
MANUFACTURE OF GRAIN MILL PRODUCTS, STARCHES AND STARCH PRODUCTS
1
107
MANUFACTURE OF OTHER FOOD PRODUCTS
0
108
MANUFACTURE OF PREPARED ANIMAL FEEDS
0
471
RETAIL SALE IN NON-SPECIALIZED STORES
0
472
RETAIL SALE OF FOOD, BEVERAGES AND TOBACCO IN SPECIALIZED STORES
0
473
RETAIL SALE OF AUTOMOTIVE FUEL IN SPECIALIZED STORES
1
474
RETAIL SALE OF INFORMATION AND COMMUNICATIONS EQUIPMENT IN SPECIALIZED STORES
0
475
RETAIL SALE OF OTHER HOUSEHOLD EQUIPMENT IN SPECIALIZED STORES
0
476
RETAIL SALE OF CULTURAL AND RECREATION GOODS IN SPECIALIZED STORES
0
477
RETAIL SALE OF OTHER GOODS IN SPECIALIZED STORES
0
478
RETAIL SALE VIA STALLS AND MARKETS
2
479
RETAIL TRADE NOT IN STORES, STALLS OR MARKETS
2
491
TRANSPORT VIA RAILWAYS
0
492
OTHER LAND TRANSPORT
10
493
TRANSPORT VIA PIPELINE
0
561
RESTAURANTS AND MOBILE FOOD SERVICE ACTIVITIES
1
562
EVENT CATERING AND OTHER FOOD SERVICE ACTIVITIES
0
563
BEVERAGE SERVING ACTIVITIES
0
4921
URBAN AND SUBURBAN PASSENGER LAND TRANSPORT
17
4922
OTHER PASSENGER LAND TRANSPORT
4
4923
FREIGHT TRANSPORT BY ROAD
1
Sysmiss
25123
Is [NAME]'s main employer in this unpaid apprenticeship ...
292
25120
1
10
1
CENTRAL GOV
20
2
LOCAL GOV
8
3
PARASTATAL
2
4
POLITICAL PARTY
0
5
COOPERATIVE
0
6
NGO
3
7
INT'L ORG
0
8
RELIGIOUS ORG
11
9
PRIVATE SECTOR
246
10
OTHER (SPECIFY)
2
Sysmiss
25120
During the last 12 months, for how many months did you work in this unpaid appre
292
25120
0
12
0
1
1
77
2
44
3
34
4
20
5
10
6
31
7
8
8
12
9
5
10
9
11
2
12
39
Sysmiss
25120
During the last 12 months, how many weeks per month do you usually work in this
292
25120
0
5
0
1
1
31
2
30
3
20
4
206
5
4
Sysmiss
25120
During the last 12 months, how many hours per week do you usually work in this u
292
25120
0
84
In the last 7 days, how many hours did you work in this unpaid apprenticeship?
292
25120
0
99
In the last 7 days, did [NAME] help without being paid in any kind of non-farm b
21292
4120
1
2
1
YES
631
2
NO
20661
Sysmiss
4120
In the last 7 days, how many hours did [NAME] work as an unpaid family worker on
627
24785
0
105
IS THE ANSWER TO QUESTION 4E OR 8E 'YES'?
21291
4121
1
2
1
YES
10556
2
NO
10735
Sysmiss
4121
During the last 12 months, for how many months did [NAME] spend on household agr
10557
14855
0
12
0
55
1
346
2
459
3
501
4
524
5
445
6
1281
7
782
8
1215
9
700
10
689
11
185
12
3375
Sysmiss
14855
During the last 12 months, how many weeks per month did [NAME] spend on househol
10557
14855
0
7
0
50
1
336
2
769
3
618
4
8649
5
134
7
1
Sysmiss
14855
During the last 12 months, how many hours per week did [NAME] spend on household
10557
14855
0
168
During the last 7 days, how many hours did [NAME] spend on household agricultura
10556
14856
0
168
How many hours did [NAME] spend yesterday collecting firewood? - HOURS
21296
4116
0
12
0
20191
1
494
2
338
3
152
4
68
5
19
6
18
7
7
8
4
9
1
10
1
12
3
Sysmiss
4116
How many hours did [NAME] spend yesterday collecting firewood? - MINUTES
21296
4116
0
60
How many hours did [NAME] spend yesterday collecting/ fetching water? - HOURS
21295
4117
0
10
0
19952
1
971
2
256
3
68
4
27
5
10
6
6
8
1
10
4
Sysmiss
4117
How many hours did [NAME] spend yesterday collecting / fetching water? - MINUTES
21292
4120
0
60
CHECK: IS THE ANSWER TO EITHER 4C OR 4D 'YES'?
21297
4115
1
2
1
YES
3326
2
NO
17971
Sysmiss
4115
During the last 12 months, how many months did [NAME] work in the non-farm house
3325
22087
0
12
0
7
1
181
2
204
3
235
4
232
5
147
6
204
7
100
8
122
9
84
10
150
11
76
12
1583
Sysmiss
22087
During the last 12 months, how many weeks per month did [NAME] usually work in t
3325
22087
0
7
0
4
1
132
2
259
3
145
4
2654
5
130
7
1
Sysmiss
22087
During the last 12 months, how many hours per week did [NAME] usually work in th
3323
22089
0
158
Case Section Roster / Line Occurrence Sequence for O/S Merge
25412
0
1
54
Unique Household Identification NPS Y3
25412
0
Individual ID
25412
0
1
54
Did [NAME] consume any meals/ snacks/ drinks outside the household in the past 7
25202
210
1
2
1
YES
5319
2
NO
19883
Sysmiss
210
In the past 7 days did [NAME] consume any full meals (breakfast, lunch or dinner
5142
20270
1
2
1
YES
3985
2
NO
1157
Sysmiss
20270
What was the value of this consumption?
3955
21457
0
259000
In the past 7 days did [NAME] consume any barbecued meat, chips, roast bananas a
5103
20309
1
2
1
YES
1026
2
NO
4077
Sysmiss
20309
What was the value of this consumption?
1025
24387
0
31000
In the past 7 days did [NAME] consume any kibuku and other local brews outside o
5103
20309
1
2
1
YES
323
2
NO
4780
Sysmiss
20309
What was the value of this consumption?
323
25089
0
36000
In the past 7 days did [NAME] consume any wine, commercial beer and spirits outs
5103
20309
1
2
1
YES
269
2
NO
4834
Sysmiss
20309
What was the value of this consumption?
267
25145
500
150000
In the past 7 days did [NAME] consume any sodas and other non-acoholic drinks ou
5103
20309
1
2
1
YES
2543
2
NO
2560
Sysmiss
20309
What was the value of this consumption?
2543
22869
0
45500
In the past 7 days did [NAME] consume any sweets, ice-cream outside of the house
5103
20309
1
2
1
YES
616
2
NO
4487
Sysmiss
20309
What was the value of this consumption?
615
24797
0
13500
In the past 7 days did [NAME] consume any tea, coffee, samosa, cake and other ho
5103
20309
1
2
1
YES
1635
2
NO
3468
Sysmiss
20309
What was the value of this consumption?
1635
23777
0
35000
Cross Out ID
201
0
X
201
Case Section Roster / Line Occurrence Sequence for O/S Merge
25412
0
1
54
Unique Household Identification NPS Y3
25412
0
Individual ID
25412
0
1
54
IS THIS PERSON ANSWERING FOR HIMSELF/ HERSELF?
25206
206
1
2
1
YES
12533
2
NO
12673
Sysmiss
206
IS NAME OVER AGE 15?
12533
12879
1
2
1
YES
11455
2
NO
1078
Sysmiss
12879
How satisfied or dissatisfied would you say you are with A. Your health?
11462
13950
1
8
1
VERY SATISFIED
3217
2
SATISFIED
5120
3
SOMEWHAT SATISFIED
1147
4
NEITHER SATISFIED NOR DISSATISFIED
210
5
SOMEWHAT DISSATISFIED
311
6
DISSATISFIED
1116
7
VERY DISSATISFIED
340
8
NOT APPLICABLE
1
Sysmiss
13950
How satisfied or dissatisfied would you say you are with B. Your financial situa
11463
13949
1
8
1
VERY SATISFIED
343
2
SATISFIED
1751
3
SOMEWHAT SATISFIED
1633
4
NEITHER SATISFIED NOR DISSATISFIED
408
5
SOMEWHAT DISSATISFIED
544
6
DISSATISFIED
4220
7
VERY DISSATISFIED
2393
8
NOT APPLICABLE
171
Sysmiss
13949
How satisfied or dissatisfied would you say you are with C. Your housing?
11463
13949
1
8
1
VERY SATISFIED
1199
2
SATISFIED
3994
3
SOMEWHAT SATISFIED
2004
4
NEITHER SATISFIED NOR DISSATISFIED
288
5
SOMEWHAT DISSATISFIED
400
6
DISSATISFIED
2544
7
VERY DISSATISFIED
1001
8
NOT APPLICABLE
33
Sysmiss
13949
How satisfied or dissatisfied would you say you are with D. Your job?
11459
13953
1
8
1
VERY SATISFIED
890
2
SATISFIED
2916
3
SOMEWHAT SATISFIED
1889
4
NEITHER SATISFIED NOR DISSATISFIED
290
5
SOMEWHAT DISSATISFIED
470
6
DISSATISFIED
2285
7
VERY DISSATISFIED
851
8
NOT APPLICABLE
1868
Sysmiss
13953
How satisfied or dissatisfied would you say you are with E. The health care avai
11463
13949
1
8
1
VERY SATISFIED
834
2
SATISFIED
3359
3
SOMEWHAT SATISFIED
1794
4
NEITHER SATISFIED NOR DISSATISFIED
529
5
SOMEWHAT DISSATISFIED
503
6
DISSATISFIED
2769
7
VERY DISSATISFIED
1544
8
NOT APPLICABLE
131
Sysmiss
13949
How satisfied or dissatisfied would you say you are with F. The education availa
11463
13949
1
8
1
VERY SATISFIED
610
2
SATISFIED
2281
3
SOMEWHAT SATISFIED
1273
4
NEITHER SATISFIED NOR DISSATISFIED
419
5
SOMEWHAT DISSATISFIED
479
6
DISSATISFIED
4000
7
VERY DISSATISFIED
1941
8
NOT APPLICABLE
460
Sysmiss
13949
How satisfied or dissatisfied would you say you are with G. Your protection agai
11463
13949
1
8
1
VERY SATISFIED
2430
2
SATISFIED
5421
3
SOMEWHAT SATISFIED
1374
4
NEITHER SATISFIED NOR DISSATISFIED
191
5
SOMEWHAT DISSATISFIED
310
6
DISSATISFIED
1150
7
VERY DISSATISFIED
575
8
NOT APPLICABLE
12
Sysmiss
13949
How satisfied or dissatisfied would you say you are with H. Your life as a whole
11463
13949
1
8
1
VERY SATISFIED
479
2
SATISFIED
2233
3
SOMEWHAT SATISFIED
2581
4
NEITHER SATISFIED NOR DISSATISFIED
358
5
SOMEWHAT DISSATISFIED
600
6
DISSATISFIED
3214
7
VERY DISSATISFIED
1937
8
NOT APPLICABLE
61
Sysmiss
13949
Just thinking about your current circumstances, would you describe yourself as:
11463
13949
1
8
1
VERY RICH
4
2
RICH
48
3
COMFORTABLE
1335
4
CAN MANAGE TO GET BY
2485
5
NEVER HAVE QUITE ENOUGH
3811
6
POOR
3203
7
DESTITUTE
268
8
NO OPINION
309
Sysmiss
13949
Just thinking about your circumstances that you were living in at the time of th
11463
13949
1
8
1
VERY RICH
3
2
RICH
72
3
COMFORTABLE
1270
4
CAN MANAGE TO GET BY
2432
5
NEVER HAVE QUITE ENOUGH
3529
6
POOR
3211
7
DESTITUTE
288
8
NO OPINION
658
Sysmiss
13949
Just thinking about your circumstances you were living in about 10 years ago, wo
11461
13951
1
8
1
VERY RICH
16
2
RICH
76
3
COMFORTABLE
1437
4
CAN MANAGE TO GET BY
1939
5
NEVER HAVE QUITE ENOUGH
2361
6
POOR
2775
7
DESTITUTE
294
8
NO OPINION
2563
Sysmiss
13951
Case Section Roster / Line Occurrence Sequence for O/S Merge
5010
0
1
1
1
5010
Unique Household Identification NPS Y3
5010
0
In the past 7 days, did you worry that your household would not have enough food
5008
2
1
2
1
YES
1492
2
NO
3516
Sysmiss
2
2A Rely on less preferred foods?
5010
0
0
7
0
3744
1
117
2
354
3
289
4
127
5
53
6
32
7
294
2B Limit the variety of foods eaten?
5010
0
0
7
0
4316
1
59
2
209
3
131
4
58
5
32
6
9
7
196
2C Limit portion size at meal-times?
5010
0
0
7
0
4396
1
101
2
179
3
138
4
65
5
25
6
11
7
95
2D Reduce number of meals eaten in a day?
5010
0
0
7
0
4074
1
94
2
239
3
175
4
65
5
28
6
12
7
323
2E Restrict consumption by adults for small children to eat?
5010
0
0
7
0
4743
1
52
2
109
3
35
4
16
5
7
7
48
2F Borrow food, or rely on help from a friend or relative?
5010
0
0
7
0
4569
1
136
2
144
3
66
4
20
5
10
6
7
7
58
2G Have no food of any kind in your household?
5010
0
0
7
0
4723
1
92
2
105
3
40
4
18
5
5
6
5
7
22
2H Go a whole day and night without eating anything?
5010
0
0
7
0
4868
1
59
2
66
3
11
4
4
5
1
7
1
How many meals, including breakfast are taken per day in your household? A ADULT
5010
0
0
5
0
16
1
41
2
1525
3
3421
4
6
5
1
How many meals, including breakfast are taken per day in your household? CHILDRE
2499
2511
0
20
0
20
1
31
2
271
3
1425
4
375
5
191
6
56
7
50
8
20
9
12
10
27
11
9
12
8
15
3
20
1
Sysmiss
2511
What did your children below 5 years old (0-4 years) have for breakfast yesterda
5007
3
0
12
0
NO CHILDREN UNDER AGE 5
2436
1
TEA/DRINK WITH SUGAR
229
2
MILK/MILK TEA WITH SUGAR
85
3
SOLID FOOD ONLY
317
4
TEA/DRINK WITH SOLID FOOD
573
5
PORRIDGE WITH GROUNDNUT FLOUR
123
6
PORRIDGE WITH SOLID FOOD
107
7
PORRIDGE WITH SUGAR
422
8
PORRIDGE WITH MILK
62
9
PORRIDGE WITHOUT SUGAR
303
10
BREASTMILK
181
11
NOTHING
109
12
OTHER (SPECIFY)
60
Sysmiss
3
What did your children between 5 to 13 years old have for breakfast yesterday
5009
1
0
12
0
NO CHILDREN BETWEEN 5 AND 13
2254
1
TEA/DRINK WITH SUGAR
358
2
MILK/MILK TEA WITH SUGAR
69
3
SOLID FOOD ONLY
436
4
TEA/DRINK WITH SOLID FOOD
911
5
PORRIDGE WITH GROUNDNUT FLOUR
44
6
PORRIDGE WITH SOLID FOOD
110
7
PORRIDGE WITH SUGAR
192
8
PORRIDGE WITH MILK
27
9
PORRIDGE WITHOUT SUGAR
242
10
BREASTMILK
4
11
NOTHING
314
12
OTHER (SPECIFY)
48
Sysmiss
1
Do all household members eat roughly the same diet?
5010
0
1
2
1
YES
4805
2
NO
205
Who in the household usually eats a more diverse variety of foods, a less divers
200
4810
0
2
0
NONE
66
1
MORE DIVERSE
49
2
LESS DIVERSE
85
9
NOT APPLICABLE
0
Sysmiss
4810
Who in the household usually eats a more diverse variety of foods, a less divers
200
4810
0
2
0
NONE
66
1
MORE DIVERSE
50
2
LESS DIVERSE
84
9
NOT APPLICABLE
0
Sysmiss
4810
Who in the household usually eats a more diverse variety of foods, a less divers
203
4807
0
2
0
NONE
12
1
MORE DIVERSE
134
2
LESS DIVERSE
57
9
NOT APPLICABLE
0
Sysmiss
4807
In the last 12 months, have you been faced with a situation when you did not hav
5007
3
1
2
1
YES
1808
2
NO
3199
Sysmiss
3
When did you experience this incident ? - 2011 (Jan)
0
0
When did you experience this incident ? - 2011 (Feb)
0
0
When did you experience this incident ? - 2011 (Mar)
0
0
When did you experience this incident ? - 2011 (Apr)
0
0
When did you experience this incident ? - 2011 (May)
0
0
When did you experience this incident ? - 2011 (Jun)
0
0
When did you experience this incident ? - 2011 (Jul)
0
0
When did you experience this incident ? - 2011 (Aug)
0
0
When did you experience this incident ? - 2011 (Sep)
14
0
X
14
When did you experience this incident ? - 2011 (Oct)
60
0
X
60
When did you experience this incident ? - 2011 (Nov)
106
0
X
106
When did you experience this incident ? - 2011 (Dec)
147
0
X
147
When did you experience this incident ? - 2012 (Jan)
206
0
X
206
When did you experience this incident ? - 2012 (Feb)
245
0
X
245
When did you experience this incident ? - 2012 (Mar)
238
0
X
238
When did you experience this incident ? - 2012 (Apr)
209
0
X
209
When did you experience this incident ? - 2012 (May)
218
0
X
218
When did you experience this incident ? - 2012 (Jun)
229
0
X
229
When did you experience this incident ? - 2012 (Jul)
286
0
X
286
When did you experience this incident ? - 2012 (Aug)
409
0
X
409
When did you experience this incident ? - 2012 (Sep)
501
0
X
501
When did you experience this incident ? - 2012 (Oct)
546
0
X
546
When did you experience this incident ? - 2012 (Nov)
595
0
X
595
When did you experience this incident ? - 2012 (Dec)
627
0
X
627
When did you experience this incident ? - 2013 (Jan)
623
0
X
623
When did you experience this incident ? - 2013 (Feb)
581
0
X
581
When did you experience this incident ? - 2013 (Mar)
381
0
X
381
When did you experience this incident ? - 2013 (Apr)
194
0
X
194
When did you experience this incident ? - 2013 (May)
112
0
X
112
When did you experience this incident ? - 2013 (Jun)
62
0
X
62
When did you experience this incident ? - 2013 (Jul)
32
0
X
32
When did you experience this incident ? - 2013 (Aug)
12
0
X
12
When did you experience this incident ? - 2013 (Sep)
11
0
X
11
When did you experience this incident ? - 2013 (Oct)
6
0
X
6
When did you experience this incident ? - 2013 (Nov)
2
0
X
2
When did you experience this incident ? - 2013 (Dec)
2
0
X
2
What was the cause of this situation? 1ST
1811
3199
1
10
1
INADEQUATE HOUSEHOLD STOCKS DUE TO DROUGHT/POOR RAINS
756
2
INADEQUATE HOUSEHOLD FOOD STOCKS DUE TO CROP PEST DAMAGE
26
3
INADEQUATE HOUSEHOLD FOOD STOCKS DUE TO SMALL LAND SIZE
89
4
INADEQUATE HOUSEHOLD FOOD STOCKS DUE TO LACK OF FARM INPUTS
119
5
FOOD IN THE MARKET WAS VERY EXPENSIVE
172
6
UNABLE TO REACH THE MARKET DUE TO HIGH TRANSPORTATION COSTS
0
7
NO FOOD IN THE MARKET
9
8
FLOODS/WATER LOGGING/HAILSTORM
18
9
NO MONEY
506
10
OTHER (SPECIFY)
116
Sysmiss
3199
What was the cause of this situation? 2ND
745
4265
1
10
1
INADEQUATE HOUSEHOLD STOCKS DUE TO DROUGHT/POOR RAINS
43
2
INADEQUATE HOUSEHOLD FOOD STOCKS DUE TO CROP PEST DAMAGE
21
3
INADEQUATE HOUSEHOLD FOOD STOCKS DUE TO SMALL LAND SIZE
38
4
INADEQUATE HOUSEHOLD FOOD STOCKS DUE TO LACK OF FARM INPUTS
72
5
FOOD IN THE MARKET WAS VERY EXPENSIVE
117
6
UNABLE TO REACH THE MARKET DUE TO HIGH TRANSPORTATION COSTS
1
7
NO FOOD IN THE MARKET
9
8
FLOODS/WATER LOGGING/HAILSTORM
4
9
NO MONEY
351
10
OTHER (SPECIFY)
89
Sysmiss
4265
What was the cause of this situation? 3RD
121
4889
1
10
1
INADEQUATE HOUSEHOLD STOCKS DUE TO DROUGHT/POOR RAINS
7
2
INADEQUATE HOUSEHOLD FOOD STOCKS DUE TO CROP PEST DAMAGE
1
3
INADEQUATE HOUSEHOLD FOOD STOCKS DUE TO SMALL LAND SIZE
5
4
INADEQUATE HOUSEHOLD FOOD STOCKS DUE TO LACK OF FARM INPUTS
10
5
FOOD IN THE MARKET WAS VERY EXPENSIVE
21
6
UNABLE TO REACH THE MARKET DUE TO HIGH TRANSPORTATION COSTS
1
7
NO FOOD IN THE MARKET
4
8
FLOODS/WATER LOGGING/HAILSTORM
1
9
NO MONEY
54
10
OTHER (SPECIFY)
17
Sysmiss
4889
Case Section Roster / Line Occurrence Sequence for O/S Merge
5010
0
1
1
1
5010
Unique Household Identification NPS Y3
5010
0
What is HH tenure status of main residence?
5010
0
1
6
1
OWNER OCCUPIED
3461
2
EMPLOYER PROVIDED - SUBSIDIZED
7
3
EMPLOYER PROVIDED - FREE
85
4
RENTED
961
5
FREE
494
6
NOMADS
2
Do you have any documentation of ownership of the dwelling?
3459
1551
1
10
1
OFFER OF THE RIGHT OF OCCUPANCY
152
2
TITLE DEED FOR LAND
153
3
LETTER OR ALLOCATION FROM VILLAGE GOV'T
142
4
SETTLEMENT PERMIT
66
5
TRADITIONAL RIGHT OF OCCUPANCY
96
6
LAND SALE AGREEMENT
262
7
INHERITANCE LETTER
62
8
OTHER TITLE (SPECIFY)
4
9
LEASE (FOR RENTERS)
0
10
NO DOCUMENTATION AT ALL
2522
Sysmiss
1551
How much does this household pay per month to rent this dwelling?
968
4042
400
900000
Estimate the rent per month you could receive if you rented this dweilling?
4038
972
0
3000000
In the past year, how much have you paid on repairs to your dwelling?
5008
2
0
50000000
In the past year, how much have you paid in improvements to you home (excluding
5009
1
0
15000000
How many habitable rooms in each unit does this household occupy? MAIN
5009
1
0
13
0
6
1
972
2
1502
3
1392
4
668
5
290
6
121
7
33
8
20
10
3
12
1
13
1
Sysmiss
1
How many habitable rooms in each unit does this household occupy? OTHER
4350
660
0
16
0
3084
1
380
2
491
3
206
4
88
5
33
6
27
7
11
8
12
9
5
10
6
11
2
12
3
13
1
16
1
Sysmiss
660
The walls of the main dwelling are predominantly made of what matrials?
5010
0
1
7
1
POLES (INCLUDING BAMBOO), BRANCHES, GRASS
345
2
POLES AND MUD/MUD AND STONES
945
3
MUD ONLY
163
4
MUD BRICKS
1028
5
BAKED/BURNT BRICKS
1021
6
CONCRETE, CEMENT, STONES
1492
7
OTHER (SPECIFY)
16
8
NO CHILDREN
0
The roof of the main dwelling is predominantly made of what materials?
5010
0
1
7
1
GRASS, LEAVES, BAMBOO
1269
2
MUD AND GRASS
142
3
CONCRETE, CEMENT
33
4
METAL SHEETS (GCI)
3509
5
ASBESTOS SHEETS
15
6
TILES
23
7
OTHER (SPECIFY)
19
The floor of the main dwelling is predominantly made of what materials?
5010
0
1
3
1
EARTH
2693
2
CONCRETE,CEMENT,TILES,TIMBER
2298
3
OTHER (SPECIFY)
19
How does the household dispose of its garbage?
5010
0
1
6
1
COLLECTED BY GOVERNMENT
233
2
COLLECTED BY PRIVATE FIRM
356
3
GOVERNMENT BIN
107
4
DISPOSAL WITHIN COMPOUND
3282
5
NONE OR UNAUTHORISED HEAP
717
6
OTHER (SPECIFY)
315
What is the main toilet facilities usually used in this household?
5010
0
1
9
1
NO TOILET
619
2
OPEN PIT WITHOUT SLAB
1951
3
PIT LATRINE WITH SLAB (NOT WASHABLE)
597
4
PIT LATRINE WITH SLAB (WASHABLE)
673
5
VIP
130
6
POUR FLUSH
275
7
FLUSH TOILET
761
8
ECOSAN
1
9
OTHER (SPECIFY)
3
Do you share this toilet facility with other households?
4391
619
1
2
1
YES
1499
2
NO
2892
Sysmiss
619
How many other households share this facility?
1498
3512
0
30
The last time the youngest child in the household passed stools, what was done t
5010
0
1
8
1
CHILD USED TOILET OR LATRINE
506
2
PUT/RINSED INTO TOILET OR LATRINE
1721
3
PUT/RINSED INTO DRAIN/DITCH
10
4
THROWN INTO GARBAGE
217
5
BURIED
153
6
LEFT IN OPEN
36
7
OTHER (SPECIFY)
95
8
NO CHILDREN
2272
Major fuel used for cooking?
5008
2
1
8
1
FIREWOOD
3239
2
PARAFFIN
105
3
ELECTRICITY
24
4
GAS
85
5
CHARCOAL
1497
6
ANIMAL RESIDUAL
1
7
GAS (BIOGAS)
0
8
OTHER (SPECIFY)
57
Sysmiss
2
Major fuel used for lighting?
5009
1
1
10
1
ELECTRICITY
1246
2
SOLAR
122
3
GAS
0
4
GAS(BIOGAS)
3
5
LAMP OIL
2441
6
CANDLE
68
7
FIREWOOD
62
8
PRIVATE GENERATOR
10
9
OTHER (SPECIFY)
190
10
TORCH/TOCHI
867
Sysmiss
1
What is HH main source of electricity?
1375
3635
1
7
1
TANESCO
1235
2
COMMUNITY GENERATOR
4
3
SOLAR PANELS
118
4
OWN GENERATOR
9
5
CAR BATTERY
4
6
MOTORCYCLE BATTERY
0
7
OTHER (SPECIFY)
5
Sysmiss
3635
What is the household's main source of drinking water in the rainy season?
5009
1
1
14
1
PIPED WATER INSIDE DWELLING
484
2
PRIVATE OUTSIDE STANDPIPE/TAP
284
3
PUBLIC STANDPIPE/TAP
649
4
NEIGHBOURING HOUSEHOLD
574
5
WATER VENDOR
153
6
SUBSIDIZED WATER VENDING STATION
13
7
WATER TRUCK/TANKER SERVICE
25
8
PROTECTED WELL WITH PUMP
414
9
UNPROTECTED WELL WITH PUMP
46
10
PROTECTED WELL WITHOUT PUMP
132
11
UNPROTECTED WELL WITHOUT PUMP
642
12
RIVER, LAKE, SPRING, POND
758
13
RAINWATER
788
14
OTHER (SPECIFY)
47
Sysmiss
1
How long does it take to get water from drinking water source to this dwelling i
4526
484
0
420
Out of these [READ] minutes, how long do you spend waiting
4526
484
0
300
What is the household's main source of drinking water in the dry season?
5010
0
1
14
1
PIPED WATER INSIDE DWELLING
478
2
PRIVATE OUTSIDE STANDPIPE/TAP
280
3
PUBLIC STANDPIPE/TAP
753
4
NEIGHBOURING HOUSEHOLD
633
5
WATER VENDOR
211
6
SUBSIDIZED WATER VENDING STATION
28
7
WATER TRUCK/TANKER SERVICE
55
8
PROTECTED WELL WITH PUMP
531
9
UNPROTECTED WELL WITH PUMP
58
10
PROTECTED WELL WITHOUT PUMP
187
11
UNPROTECTED WELL WITHOUT PUMP
769
12
RIVER, LAKE, SPRING, POND
955
13
RAINWATER
30
14
OTHER (SPECIFY)
42
How long does it take to get water from drinking water source to this dwelling i
4532
478
0
840
Out of these [READ] minutes, how long do you spend waiting?
4532
478
0
480
Who usually goes to fetch water for your household?
4530
480
1
4
1
ADULT WOMAN
3666
2
ADULT MAN
680
3
FEMALE CHILD (UNDER 15 YEARS)
119
4
MALE CHILD (UNDER 15 YEARS)
65
Sysmiss
480
What measures does this household take to ensure the safety of drinking water?
5009
1
1
7
1
BOIL
1306
2
USE WATER FILTER
59
3
STRAIN THROUGH A CLOTH
132
4
TREATED WITH CHEMICALS
55
5
BOTTLED WATER
41
6
OTHER (SPECIFY)
2
7
NONE
3414
Sysmiss
1
What measures does this household take to ensure the safety of drinking water?
226
4784
1
7
1
BOIL
9
2
USE WATER FILTER
62
3
STRAIN THROUGH A CLOTH
95
4
TREATED WITH CHEMICALS
14
5
BOTTLED WATER
4
6
OTHER (SPECIFY)
4
7
NONE
38
Sysmiss
4784
What is the main source of water used by your household for other purposes, such
5007
3
1
14
1
PIPED WATER INSIDE DWELLING
490
2
PRIVATE OUTSIDE STANDPIPE/TAP
306
3
PUBLIC STANDPIPE/TAP
690
4
NEIGHBOURING HOUSEHOLD
595
5
WATER VENDOR
126
6
SUBSIDIZED WATER VENDING STATION
19
7
WATER TRUCK/TANKER SERVICE
34
8
PROTECTED WELL WITH PUMP
531
9
UNPROTECTED WELL WITH PUMP
50
10
PROTECTED WELL WITHOUT PUMP
208
11
UNPROTECTED WELL WITHOUT PUMP
864
12
RIVER, LAKE, SPRING, POND
1003
13
RAINWATER
54
14
OTHER (SPECIFY)
37
Sysmiss
3
Case Section Roster / Line Occurrence Sequence for O/S Merge
295590
0
2
72
Unique Household Identification NPS Y3
295590
0
Item codes
295590
0
101
1108
101
RICE (PADDY)
5010
102
RICE (HUSKED)
5010
103
MAIZE (GREEN, COB)
5010
104
MAIZE (GRAIN)
5010
105
MAIZE (FLOUR)
5010
106
MILLET AND SORGHUM (GRAIN)
5010
107
MILLET AND SORGHUM (FLOUR)
5010
108
WHEAT, BARLEY GRAIN AND OTHER CEREALS
5010
109
BREAD
5010
110
BUNS, CAKES AND BISCUITS
5010
111
MACARONI, SPAGHETTI
5010
112
OTHER CEREAL PRODUCTS
5010
201
CASSAVA FRESH
5010
202
CASSAVA DRY/FLOUR
5010
203
SWEET POTATOES
5010
204
YAMS/COCOYAMS
5010
205
IRISH POTATOES
5010
206
COOKING BANANAS, PLANTAINS
5010
207
OTHER STARCHES
5010
301
SUGAR
5010
302
SWEETS
5010
303
HONEY, SYRUPS, JAMS, MARMALADE, JELLIES, CANNED FRUITS
5010
401
PEAS, BEANS, LENTILS AND OTHER PULSES
5010
501
GROUNDNUTS IN SHELL/SHELLED
5010
502
COCONUTS (MATURE/IMMATURE)
5010
503
CASHEW, ALMONDS AND OTHER NUTS
5010
504
SEEDS AND PRODUCTS FROM NUTS/SEEDS (EXCL. COOKING OIL)
5010
601
ONIONS, TOMATOES, CARROTS AND GREEN PEPPER, OTHER VIUNGO
5010
602
SPINACH, CABBAGE AND OTHER GREEN VEGETABLES
5010
603
CANNED, DRIED AND WILD VEGETABLES
5010
701
RIPE BANANAS
5010
702
CITRUS FRUITS (ORANGES, LEMON, TANGERINES, ETC.)
5010
703
MANGOES, AVOCADOES AND OTHER FRUITS
5010
704
SUGARCANE
5010
801
GOAT MEAT
5010
802
BEEF INCLUDING MINCED SAUSAGE
5010
803
PORK INCLUDING SAUSAGES AND BACON
5010
804
CHICKEN AND OTHER POULTRY
5010
805
WILD BIRDS AND INSECTS
5010
806
OTHER DOMESTIC/WILD MEAT PRODUCTS
5010
807
EGGS
5010
808
FRESH FISH AND SEAFOOD (INCLUDING DAGAA)
5010
809
DRIED/SALTED/CANNED FISH AND SEAFOOD (INCL. DAGAA)
5010
810
PACKAGE FISH
5010
901
FRESH MILK
5010
902
MILK PRODUCTS (LIKE CREAM, CHEESE, YOGHURT ETC)
5010
903
CANNED MILK/MILK POWDER
5010
1001
COOKING OIL
5010
1002
BUTTER, MARGARINE, GHEE AND OTHER FAT PRODUCTS
5010
1003
SALT
5010
1004
OTHER SPICES
5010
1101
TEA DRY
5010
1102
COFFEE AND COCOA
5010
1103
OTHER RAW MATERIALS FOR DRINKS
5010
1104
BOTTLED/CANNED SOFT DRINKS (SODA, JUICE, WATER)
5010
1105
PREPARED TEA, COFFEE
5010
1106
BOTTLED BEER
5010
1107
LOCAL BREWS
5010
1108
WINE AND SPIRITS
5010
Within the past 7 days, did the members of this household eat/drink any [. . .]
295590
0
1
2
1
YES
67439
2
NO
228151
How much in total did your household consume in the past 7 days? UNIT
67439
228151
1
5
1
KILOGRAMS
19087
2
GRAMS
40343
3
LITRE
2341
4
MILLILITRE
4835
5
PIECES
833
Sysmiss
228151
How much in total did your household consume in the past 7 days? QUANTITY
67437
228153
0.25
73500
How much came from purchases during the past 7 days? UNIT
52626
242964
1
5
1
KILOGRAMS
12514
2
GRAMS
33460
3
LITRE
1638
4
MILLILITRE
4541
5
PIECES
473
Sysmiss
242964
How much came from purchases during the past 7 days? QUANTITY
67444
228146
0
46200
How much did you spend?
52623
242967
0
96000
How much came from own-production? UNIT
11179
284411
1
5
1
KILOGRAMS
5195
2
GRAMS
4905
3
LITRE
576
4
MILLILITRE
176
5
PIECES
327
Sysmiss
284411
How much came from own-production? QUANTITY
67444
228146
0
73500
How much came from gifts and other sources? UNIT
4112
291478
1
5
1
KILOGRAMS
1475
2
GRAMS
2340
3
LITRE
133
4
MILLILITRE
129
5
PIECES
35
Sysmiss
291478
How much came from gifts and other sources? QUANTITY
67444
228146
0
29400
Case Section Roster / Line Occurrence Sequence for O/S Merge
20040
0
1
4
1
5010
2
5010
3
5010
4
5010
Unique Household Identification NPS Y3
20040
0
Item Code
20040
0
105
1003
105
MAIZE FLOUR
5010
108
WHEAT FLOUR
5010
1001
COOKING OIL
5010
1003
SALT
5010
Did the household consume [ITEM]?
20039
1
1
2
1
YES
13073
2
NO
6966
Sysmiss
1
Where do you get the [ITEM] that you typically use?
13073
6967
1
6
1
OWN PRODUCTION/GROUND OWN AT HOME
1033
2
GROUND AT LOCAL MILL
821
3
BROUGHT FROM A LOCAL MILL
4291
4
BOUGHT FROM A MARKET
802
5
BOUGHT FOR A SHOP/KIOSK
6025
6
OTHER (SPECIFY)
101
Sysmiss
6967
What brand was consumed? (Code)
11982
8058
1
21
1
AZAM
470
2
M-7
19
3
NO BRAND
1854
4
OTHER (SPECIFY)
455
5
KORIE
1797
6
SAFI
380
7
OKAY
227
8
SUNOLA
46
9
SUNDROP
193
10
NO BRAND
430
11
OTHER (SPECIFY)
785
12
AZAM
458
13
AZANIA
41
14
NYATI
6
15
NO BRAND
96
16
OTHER (SPECIFY)
30
17
SAWA
250
18
SUNGURA
49
19
KIVI
39
20
NO BRAND
2195
21
OTHER (SPECIFY)
2162
Sysmiss
8058
Is the [ITEM] fortified?
12040
8000
1
2
1
YES
5313
2
NO
6727
Sysmiss
8000
ASK REPONDENT TO SEE THE [ITEM]'S PACKAGE. DOES THE [ITEM] HAVE THE FORTIFICATIO
12040
8000
1
2
1
YES
812
2
NO
11228
Sysmiss
8000
Case Section Roster / Line Occurrence Sequence for O/S Merge
50100
0
1
10
1
5010
2
5010
3
5010
4
5010
5
5010
6
5010
7
5010
8
5010
9
5010
10
5010
Unique Household Identification NPS Y3
50100
0
Item code
50100
0
1
10
1
A. CEREALS, GRAINS AND CEREAL PRODUCTS
5010
2
B. ROOTS, TUBERS, AND PLANTAINS
5010
3
C. NUTS AND PULSES
5010
4
D. VEGETABLES
5010
5
E. MEAT, FISH AND ANIMAL PRODUCTS
5010
6
F. FRUITS
5010
7
G. MILK/MILK PRODUCTS
5010
8
H. FATS/OIL
5010
9
I. SUGAR/SUGAR PRODUCTS/HONEY
5010
10
J. SPICES/CONDIMENTS
5010
Item description
50100
0
A. Nafaka, Mbegu na Bidha
5010
B. Vyakula Vya Jamii ya M
5010
C. Mbegu zenye Nazi na Ma
5010
D. Mboga za Majani
5010
E. Nyama, Samaki na Mazao
5010
F. Matunda
5010
G. Maziwa/Bidhaa zitokana
5010
H. Mafuta ya Kula na Saml
5010
I. Sukari/Mazao ya Sukari
5010
J. Viungo/Kikolezo cha la
5010
Number of days
50100
0
0
7
0
11901
1
2298
2
3583
3
3080
4
2591
5
1835
6
1232
7
23580
Case Section Roster / Line Occurrence Sequence for O/S Merge
20040
0
1
4
1
5010
2
5010
3
5010
4
5010
Unique Household Identification NPS Y3
20040
0
SECTION K AGE GROUP
20040
0
1
4
1
A. CHILDREN 0-5 YEARS
5010
2
B. CHILDREN 6-15 YEARS
5010
3
C. ADULTS 16-65 YEARS
5010
4
D. PEOPLE OVER 65 YEARS OLD
5010
Item description
20040
0
A. Watoto miaka 0 hadi 5
5010
B. Watoto miaka 6 hadi 15
5010
C. Watu wazima miaka 16 h
5010
D. Wazee miaka zaidi ya 6
5010
How may [...] were meals shared with over the past 7 days?
6900
13140
0
55
What was the total number of meals that were shared over the past 7 days?
6898
13142
0
63
Case Section Roster / Line Occurrence Sequence for O/S Merge
130260
0
1
26
Unique Household Identification NPS Y3
130260
0
Item Code
130260
0
101
223
101
CIGARETTES OR TOBACCO
5010
102
MATCHES
5010
103
PUBLIC TRANSPORT
5010
201
KEROSENE
5010
202
ELECTRICITY, INCLUDING ELECTRICITY VOUCHERS
5010
203
GAS (FOR LIGHTING/COOKING)
5010
204
WATER
5010
205
PETROL OR DIESEL
5010
206
CELL PHONE VOUCHER
5010
207
CHARCOAL
5010
208
MILLING FEES, GRAIN
5010
209
BAR SOAP (BODY SOAP OR CLOTHES SOAP)
5010
210
CLOTHES SOAP (POWDER)
5010
211
TOOTHPASTE, TOOTHBRUSH
5010
212
TOILET PAPER
5010
213
GLYCERINE, VASELINE, SKIN CREAMS
5010
214
OTHER PERSONAL PRODUCTS (SHAMPOO, RAZORBLADES, COSMETICS, HAIR PRODUCTS, ETC.)
5010
215
HOUSEHOLD CLEANING PRODUCTS (DISH SOAP, TOILET CLEANSERS, ETC.)
5010
216
LIGHT BULBS
5010
217
PHONE, INTERNET, POSTAGE STAMPS OR OTHER POSTAL FEES
5010
218
DONATION - TO CHURCH, CHARITY, BEGGAR, ETC.
5010
219
MOTOR VEHICLE SERVICE, REPAIR, OR PARTS
5010
220
BICYCLE SERVICE, REPAIR, OR PARTS
5010
221
WAGES PAID TO SERVANTS
5010
222
MORTGAGE - REGULAR PAYMENT TO PURCHASE HOUSE
5010
223
REPAIRS TO HOUSEHOLD AND PERSONAL ITEMS(RADIOS, WATCHES, ETC.)
5010
Over the past 7 days, did you
130259
1
1
2
1
YES
43982
2
NO
86277
Sysmiss
1
How much did you pay in total?
43978
86282
0
3000000
DE Line Number
0
130260
Sysmiss
130260
Case Section Roster / Line Occurrence Sequence for O/S Merge
130260
0
1
26
Unique Household Identification NPS Y3
130260
0
Item Code
130260
0
301
326
301
CARPET, RUGS, DRAPES, CURTAINS
5010
302
LINEN - TOWELS, SHEETS, BLANKETS
5010
303
MAT - SLEEPING OR FOR DRYING MAIZE FLOUR
5010
304
MOSQUITO NET
5010
305
MATTRESS
5010
306
SPORTS & HOBBY EQUIPMENT, MUSICAL INSTRUMENTS, TOYS
5010
307
FILM, FILM PROCESSING, CAMERA
5010
308
BUILDING ITEMS - CEMENT, BRICKS, TIMBER, IRON SHEETS, TOOLS, ETC.
5010
309
COUNCIL RATES
5010
310
INSURANCE - HEALTH (MASM, ETC.), AUTO, HOME, LIFE
5010
311
LOSSES TO THEFT (VALUE OF ITEMS OR CASH LOST)
5010
312
FINES OR LEGAL FEES
5010
313
BRIDE PRICE /MARRIAGE COSTS
5010
314
FUNERAL COSTS
5010
315
OTHER COSTS NOT STATED ELSEWHERE
5010
316
REPAIRS TO CONSUMER DURABLES
5010
317
TAXES FOR INCOME, PROPERTY, ETC.
5010
318
REPAIRS & MAINTENANCE TO DWELLING
5010
319
GARMENTS FOR MEN
5010
320
GARMENTS FOR WOMEN
5010
321
GARMENTS FOR CHILDREN & BABIES
5010
322
FOOTWEAR FOR MEN
5010
323
FOOTWEAR FOR WOMEN
5010
324
FOOTWEAR FOR CHILDREN AND BABIES
5010
325
WOOD POLES, BAMBOO
5010
326
GRASS FOR THATCHING ROOF OR OTHER USE
5010
Over the past 12 months did you gather, purchase, or pay for any [...]?
130231
29
1
2
1
YES
33015
2
NO
97216
Sysmiss
29
What was the estimated total value of
32999
97261
0
57600000
What was the cost of that which you purchased?
2096
128164
0
1344000
Case Section Roster / Line Occurrence Sequence for O/S Merge
265530
0
1
53
Unique Household Identification NPS Y3
265530
0
Item Code
265530
0
401
453
401
RADIO AND RADIO CASSETTE
5010
402
TELEPHONE(LANDLINE)
5010
403
TELEPHONE(MOBILE)
5010
404
REFRIDGERATOR OR FREEZER
5010
405
SEWING MACHINE
5010
406
TELEVISION
5010
407
VIDEO / DVD
5010
408
CHAIRS
5010
409
SOFAS
5010
410
TABLES
5010
411
WATCHES
5010
412
BEDS
5010
413
CUPBOARDS, CHEST-OF-DRAWERS, BOXES, WARDROBES,BOOKCASES
5010
414
LANTERNS
5010
415
COMPUTER
5010
416
COOKING POTS, CUPS, OTHER KITCHEN UTENCILS
5010
417
MOSQUITO NET
5010
418
IRON (CHARCOAL OR ELECTRIC)
5010
419
ELECTRIC/GAS STOVE
5010
420
OTHER STOVE
5010
421
WATER-HEATER
5010
422
RECORD/CASSETTE PLAYER, TAPE RECORDER
5010
423
COMPLETE MUSIC SYSTEM
5010
424
BOOKS (NOT SCHOOL BOOKS)
5010
425
MOTOR VEHICLES
5010
426
MOTORCYCLE
5010
427
BICYCLE
5010
428
CARTS
5010
429
ANIMAL-DRAWN CART
5010
430
BOAT/CANOE
5010
431
WHEEL BARROW
5010
432
LIVESTOCK
5010
433
POULTRY
5010
434
OUTBOARD ENGINE
5010
435
DONKEYS
5010
436
FIELDS/LAND
5010
437
HOUSE(S)
5010
438
FAN/AIRCONDITIONER
5010
439
DISH ANTENA/DECODER
5010
440
HOES
5010
441
SPRAYING MACHINE
5010
442
WATER PUMPING SET
5010
443
REAPERS
5010
444
TRACTOR
5010
445
TRAILER FOR TRACTORS ETC.
5010
446
PLOUGH ETC.
5010
447
HARROW
5010
448
MILKING MACHINE
5010
449
HARVESTING AND THRESHING MACHINE
5010
450
HAND MILLING MACHINE
5010
451
COFFEE PULPING MACHINE
5010
452
FERTILIZER DISTRIBUTOR
5010
453
POWER TILLER
5010
How many [ITEMS] does your household own?
265476
54
0
1000
What is the age of this [ITEM]?
42913
222617
0
75
At what price did you purchase [ITEM]?
42902
222628
0
800000000
If you wanted to sell one of this [ITEM] today, how much would you receive?
42898
222632
0
2000000000000
Case Section Roster / Line Occurrence Sequence for O/S Merge
5759
0
1
6
1
5010
2
591
3
124
4
22
5
10
6
2
Unique Household Identification NPS Y3
5759
0
Enterprise ID
3052
2707
1
6
1
2303
2
591
3
124
4
22
5
10
6
2
Sysmiss
2707
Please provide details on the main products or services of each [ENTERPRISE] tha
3044
0
Please provide details on the main products or services of each [ENTERPRISE] tha
3023
2736
1
4923
1
CROP AND ANIMAL PRODUCTION, HUNTING AND RELATED SERVICE ACTIVITIES
3
2
FORESTRY AND LOGGING
8
3
FISHING AND AQUACULTURE
2
5
MINING OF COAL AND LIGNITE
6
6
EXTRACTION OF CRUDE PETROLEUM AND NATURAL GAS
0
7
MINING OF METAL ORES
3
8
OTHER MINING AND QUARRYING
44
9
MINING SUPPORT SERVICE ACTIVITIES
8
10
MANUFACTURE OF FOOD PRODUCTS
0
11
MANUFACTURE OF BEVERAGES
36
12
MANUFACTURE OF TOBACCO PRODUCTS
1
13
MANUFACTURE OF TEXTILES
38
14
MANUFACTURE OF WEARING APPAREL
44
15
MANUFACTURE OF LEATHER AND RELATED PRODUCTS
2
16
MANUFACTURE OF WOOD AND OF PRODUCTS OF WOOD AND CORK, EXCEPT FURNITURE; MANUFACTURE OF ARTICLES OF STRAW AND PLAITING MATERIALS
33
17
MANUFACTURE OF PAPER AND PAPER PRODUCTS
0
18
PRINTING AND REPRODUCTION OF RECORDED MEDIA
0
19
MANUFACTURE OF COKE AND REFINED PETROLEUM PRODUCTS
0
20
MANUFACTURE OF CHEMICALS AND CHEMICAL PRODUCTS
0
21
MANUFACTURE OF BASIC PHARMACEUTICAL PRODUCTS AND PHARMACEUTICAL PREPARATIONS
0
22
MANUFACTURE OF RUBBER AND PLASTICS PRODUCTS
0
23
MANUFACTURE OF OTHER NON-METALLIC MINERAL PRODUCTS
1
24
MANUFACTURE OF BASIC METALS
2
25
MANUFACTURE OF FABRICATED METAL PRODUCTS, EXCEPT MACHINERY AND EQUIPMENT
4
26
MANUFACTURE OF COMPUTER, ELECTRONIC AND OPTICAL PRODUCTS
1
27
MANUFACTURE OF ELECTRICAL EQUIPMENT
0
28
MANUFACTURE OF MACHINERY AND EQUIPMENT N.E.C.
0
29
MANUFACTURE OF MOTOR VEHICLES, TRAILERS AND SEMI-TRAILERS
1
30
MANUFACTURE OF OTHER TRANSPORT EQUIPMENT
2
31
MANUFACTURE OF FURNITURE
64
32
OTHER MANUFACTURING
65
33
REPAIR AND INSTALLATION OF MACHINERY AND EQUIPMENT
17
35
ELECTRICITY, GAS, STEAM AND AIR CONDITIONING SUPPLY
1
36
WATER COLLECTION, TREATMENT AND SUPPLY
0
37
SEWERAGE
0
38
WASTE COLLECTION, TREATMENT AND DISPOSAL ACTIVITIES; MATERIALS RECOVERY
0
39
REMEDIATION ACTIVITIES AND OTHER WASTE MANAGEMENT SERVICES
1
41
CONSTRUCTION OF BUILDINGS
50
42
CIVIL ENGINEERING
2
43
SPECIALIZED CONSTRUCTION ACTIVITIES
5
45
WHOLESALE AND RETAIL TRADE AND REPAIR OF MOTOR VEHICLES AND MOTORCYCLES
15
46
WHOLESALE TRADE, EXCEPT OF MOTOR VEHICLES AND MOTORCYCLES
24
47
RETAIL TRADE, EXCEPT OF MOTOR VEHICLES AND MOTORCYCLES
4
49
LAND TRANSPORT AND TRANSPORT VIA PIPELINES
2
50
WATER TRANSPORT
4
51
AIR TRANSPORT
0
52
WAREHOUSING AND SUPPORT ACTIVITIES FOR TRANSPORTATION
1
53
POSTAL AND COURIER ACTIVITIES
0
55
ACCOMMODATION
13
56
FOOD AND BEVERAGE SERVICE ACTIVITIES
22
58
PUBLISHING ACTIVITIES
1
59
MOTION PICTURE, VIDEO AND TELEVISION PROGRAMME PRODUCTION, SOUND RECORDING AND MUSIC PUBLISHING ACTIVITIES
9
60
PROGRAMMING AND BROADCASTING ACTIVITIES
0
61
TELECOMMUNICATIONS
2
62
COMPUTER PROGRAMMING, CONSULTANCY AND RELATED ACTIVITIES
4
63
INFORMATION SERVICE ACTIVITIES
4
64
FINANCIAL SERVICE ACTIVITIES, EXCEPT INSURANCE AND PENSION FUNDING
5
65
INSURANCE, REINSURANCE AND PENSION FUNDING, EXCEPT COMPULSORY SOCIAL SECURITY
0
66
ACTIVITIES AUXILIARY TO FINANCIAL SERVICE AND INSURANCE ACTIVITIES
1
68
REAL ESTATE ACTIVITIES
2
69
LEGAL AND ACCOUNTING ACTIVITIES
1
70
ACTIVITIES OF HEAD OFFICES; MANAGEMENT CONSULTANCY ACTIVITIES
1
71
ARCHITECTURAL AND ENGINEERING ACTIVITIES; TECHNICAL TESTING AND ANALYSIS
0
72
SCIENTIFIC RESEARCH AND DEVELOPMENT
0
73
ADVERTISING AND MARKET RESEARCH
0
74
OTHER PROFESSIONAL, SCIENTIFIC AND TECHNICAL ACTIVITIES
1
75
VETERINARY ACTIVITIES
0
77
RENTAL AND LEASING ACTIVITIES
1
78
EMPLOYMENT ACTIVITIES
0
79
TRAVEL AGENCY, TOUR OPERATOR, RESERVATION SERVICE AND RELATED ACTIVITIES
2
80
SECURITY AND INVESTIGATION ACTIVITIES
0
81
SERVICES TO BUILDINGS AND LANDSCAPE ACTIVITIES
1
82
OFFICE ADMINISTRATIVE, OFFICE SUPPORT AND OTHER BUSINESS SUPPORT ACTIVITIES
1
84
PUBLIC ADMINISTRATION AND DEFENCE; COMPULSORY SOCIAL SECURITY
0
85
EDUCATION
8
86
HUMAN HEALTH ACTIVITIES
15
87
RESIDENTIAL CARE ACTIVITIES
0
88
SOCIAL WORK ACTIVITIES WITHOUT ACCOMMODATION
14
90
CREATIVE, ARTS AND ENTERTAINMENT ACTIVITIES
34
91
LIBRARIES, ARCHIVES, MUSEUMS AND OTHER CULTURAL ACTIVITIES
3
92
GAMBLING AND BETTING ACTIVITIES
0
93
SPORTS ACTIVITIES AND AMUSEMENT AND RECREATION ACTIVITIES
2
94
ACTIVITIES OF MEMBERSHIP ORGANIZATIONS
0
95
REPAIR OF COMPUTERS AND PERSONAL AND HOUSEHOLD GOODS
14
96
OTHER PERSONAL SERVICE ACTIVITIES
129
97
ACTIVITIES OF HOUSEHOLDS AS EMPLOYERS OF DOMESTIC PERSONNEL
0
98
UNDIFFERENTIATED GOODS- AND SERVICES-PRODUCING ACTIVITIES OF PRIVATE HOUSEHOLDS FOR OWN USE
2
99
ACTIVITIES OF EXTRATERRITORIAL ORGANIZATIONS AND BODIES
0
101
PROCESSING AND PRESERVING OF MEAT
1
102
PROCESSING AND PRESERVING OF FISH, CRUSTACEANS AND MOLLUSKS
0
103
PROCESSING AND PRESERVING OF FRUIT AND VEGETABLES
0
104
MANUFACTURE OF VEGETABLE AND ANIMAL OILS AND FATS
2
105
MANUFACTURE OF DAIRY PRODUCTS
1
106
MANUFACTURE OF GRAIN MILL PRODUCTS, STARCHES AND STARCH PRODUCTS
14
107
MANUFACTURE OF OTHER FOOD PRODUCTS
3
108
MANUFACTURE OF PREPARED ANIMAL FEEDS
0
196
1
471
RETAIL SALE IN NON-SPECIALIZED STORES
76
472
RETAIL SALE OF FOOD, BEVERAGES AND TOBACCO IN SPECIALIZED STORES
74
473
RETAIL SALE OF AUTOMOTIVE FUEL IN SPECIALIZED STORES
3
474
RETAIL SALE OF INFORMATION AND COMMUNICATIONS EQUIPMENT IN SPECIALIZED STORES
3
475
RETAIL SALE OF OTHER HOUSEHOLD EQUIPMENT IN SPECIALIZED STORES
12
476
RETAIL SALE OF CULTURAL AND RECREATION GOODS IN SPECIALIZED STORES
8
477
RETAIL SALE OF OTHER GOODS IN SPECIALIZED STORES
114
478
RETAIL SALE VIA STALLS AND MARKETS
549
479
RETAIL TRADE NOT IN STORES, STALLS OR MARKETS
1027
491
TRANSPORT VIA RAILWAYS
0
492
OTHER LAND TRANSPORT
31
493
TRANSPORT VIA PIPELINE
0
561
RESTAURANTS AND MOBILE FOOD SERVICE ACTIVITIES
84
562
EVENT CATERING AND OTHER FOOD SERVICE ACTIVITIES
94
563
BEVERAGE SERVING ACTIVITIES
75
4921
URBAN AND SUBURBAN PASSENGER LAND TRANSPORT
23
4922
OTHER PASSENGER LAND TRANSPORT
33
4923
FREIGHT TRANSPORT BY ROAD
9
Sysmiss
2736
Which members of the household are engaged in this [ENTERPRISE}?
3043
2716
1
21
1
1757
2
874
3
170
4
89
5
49
6
30
7
19
8
18
9
11
10
8
11
6
12
2
13
1
14
3
16
1
17
1
18
1
19
1
20
1
21
1
Sysmiss
2716
Which members of the household are engaged in this [ENTERPRISE}?
310
5449
1
11
1
18
2
202
3
43
4
17
5
10
6
8
7
2
8
2
9
5
10
1
11
2
Sysmiss
5449
Which members of the household are engaged in this [ENTERPRISE}?
59
5700
1
16
1
2
2
3
3
21
4
10
5
6
6
4
7
6
8
2
9
2
11
1
13
1
16
1
Sysmiss
5700
Which members of the household are engaged in this [ENTERPRISE}?
22
5737
1
12
1
1
3
1
4
11
5
2
6
2
7
1
8
1
11
1
12
2
Sysmiss
5737
Which members of the household are engaged in this [ENTERPRISE}?
9
5750
4
13
4
1
5
1
7
1
9
1
12
4
13
1
Sysmiss
5750
Which members of the household are engaged in this [ENTERPRISE}?
2
5757
7
8
7
1
8
1
Sysmiss
5757
Who in the household manages this [ENTERPRISE] or is most familiar with it?
3042
2717
1
21
1
1737
2
889
3
173
4
89
5
50
6
30
7
19
8
18
9
11
10
8
11
6
12
2
13
1
14
3
16
1
17
1
18
1
19
1
20
1
21
1
Sysmiss
2717
Who in the household manages this [ENTERPRISE] or is most familiar with it?
143
5616
1
11
1
20
2
92
3
12
4
7
5
4
7
1
8
2
9
4
11
1
Sysmiss
5616
Who in the household owns this [ENTERPRISE]?
3041
2718
1
21
1
1773
2
857
3
172
4
87
5
50
6
29
7
19
8
18
9
11
10
8
11
6
12
2
14
3
16
1
17
1
18
1
19
1
20
1
21
1
Sysmiss
2718
Who is the household owns this [ENTERPRISE]?
139
5620
1
13
1
19
2
98
3
6
4
6
5
2
7
2
8
1
9
3
11
1
13
1
Sysmiss
5620
Where do you do [ENTERPRISE]?
3041
2718
1
13
1
W/IN OWN OR BUS. PARTNER'S HOME - WITH SPECIAL BUS. SPACE
927
2
W/IN OWN OR BUS. PARTNER'S HOME - WITHOUT SPECIAL BUS. SPACE
190
3
STRUCTURE ATTACHED TO /OUTSIDE OWN OR BUS. PARTNER'S HOUSE
31
4
PERMANENT BLDG. OTHER THAN HOME
412
5
FIXED STALL/KIOSK - IN MARKET
147
6
VEHICLE, CART, TEMP. STALL - IN MARKET
54
7
FIXED STALL/ KIOSK - STREET
105
8
VEHICLE, CART, TEMP. STALL - STREET
17
9
OTHER TEMP. STRUCTURE
239
10
CONSTRUCTION SITE
17
11
CLIENT'S/EMPLOYER'S HOUSE
33
12
NO FIXED LOCATION/MOBILE
816
13
OTHER (SPECIFY)
53
Sysmiss
2718
How long has this [ENTERPRISE] existed?
3036
2723
0
99
How long has this [ENTERPRISE] existed?
3024
2735
0
99
What was the main source of start-up capital for this income-generating activity
3035
2724
1
13
1
LOAN FROM FAMILY / FRIENDS
327
2
GIFT FROM FAMILY / FRIENDS
605
3
SALE OF ASSETS OWNED
127
4
PROCEEDS FROM NON-FARM BUSINESS
338
5
PROCEEDS FROM FARM/AGRICULTURAL BUSINESS
489
6
OWN SAVINGS
733
7
LOAN FROM SACCOS
19
8
NON-AGRICULTURAL CREDIT
8
9
BANK OR OTHER INSTITUTION
32
10
LOAN FROM MONEY LENDER
55
11
INHERITED
28
12
OTHER (SPECIFY)
49
13
NO START-UP COSTS
225
Sysmiss
2724
What was the main source of start-up capital for this income-generating activity
193
5566
1
13
1
LOAN FROM FAMILY / FRIENDS
11
2
GIFT FROM FAMILY / FRIENDS
33
3
SALE OF ASSETS OWNED
8
4
PROCEEDS FROM NON-FARM BUSINESS
20
5
PROCEEDS FROM FARM/AGRICULTURAL BUSINESS
23
6
OWN SAVINGS
72
7
LOAN FROM SACCOS
3
8
NON-AGRICULTURAL CREDIT
2
9
BANK OR OTHER INSTITUTION
4
10
LOAN FROM MONEY LENDER
9
11
INHERITED
1
12
OTHER (SPECIFY)
6
13
NO START-UP COSTS
1
Sysmiss
5566
What was the main source of start-up capital for this income-generating activity
10
5749
1
12
1
LOAN FROM FAMILY / FRIENDS
1
2
GIFT FROM FAMILY / FRIENDS
1
3
SALE OF ASSETS OWNED
0
4
PROCEEDS FROM NON-FARM BUSINESS
2
5
PROCEEDS FROM FARM/AGRICULTURAL BUSINESS
0
6
OWN SAVINGS
2
7
LOAN FROM SACCOS
0
8
NON-AGRICULTURAL CREDIT
0
9
BANK OR OTHER INSTITUTION
2
10
LOAN FROM MONEY LENDER
1
11
INHERITED
0
12
OTHER (SPECIFY)
1
13
NO START-UP COSTS
0
Sysmiss
5749
To whom do you sell your products or services?
3039
2720
1
8
1
FINAL CONSUMERS
2735
2
SMALL BUSINESS
235
3
LARGE ESTABLISHED BUSINESS
56
4
INSTITUTIONS
2
5
EXPORT
1
6
MANUFACTURERS
1
7
GOVERNEMENT
1
8
OTHER (SPECIFY)
8
Sysmiss
2720
To whom do you sell your products or services?
164
5595
1
7
1
FINAL CONSUMERS
26
2
SMALL BUSINESS
113
3
LARGE ESTABLISHED BUSINESS
19
4
INSTITUTIONS
3
5
EXPORT
1
6
MANUFACTURERS
1
7
GOVERNEMENT
1
8
OTHER (SPECIFY)
0
Sysmiss
5595
What is the total value of your physical capital stock, including all tools, equ
3023
2736
0
99999999
What is the total value of your current stock of inputs or supplies?
3024
2735
0
5000000
What is the total value of your current stock of finished merchandise (goods for
3020
2739
0
99999999
What gross income/takings did you get from your business or businesses in the la
3014
2745
1
2
1
WEEK
605
2
MONTH
2409
Sysmiss
2745
What gross income/takings did you get from your business or businesses in the la
3015
2744
0
448000000
What was the net income (profit) from your business or businesses in the last we
3015
2744
1
2
1
WEEK
586
2
MONTH
2429
Sysmiss
2744
What was the net income (profit) from your business or businesses in the last we
3015
2744
0
445313000
How many employees do you have who are not household members?
3023
2736
0
80
What was your total expenditure on wages/salary in the last month?
3023
2736
0
40000000
What was your total expenditure on raw amterials in the last month?
3018
2741
0
80000000
How much were your other operating expenses (for this [ENTERPRISE]) such as fuel
3018
2741
0
18000000
How many months during the last 12 months did you operate this [ENTERPRISE]?
3025
2734
0
12
0
8
1
149
2
167
3
195
4
209
5
127
6
224
7
87
8
107
9
80
10
131
11
79
12
1462
Sysmiss
2734
What was your AVERAGE net monthly income (profit) during the months when you ope
3014
2745
0
455500000
Is this company officially registered with the... [REGISTRAR OF COMPANIES] ?
3024
2735
1
2
1
YES
48
2
NO
2976
Sysmiss
2735
Is this company officially registered with the... [TAX AUTHORITY] ?
3024
2735
1
2
1
YES
267
2
NO
2757
Sysmiss
2735
Is this company officially registered with the... [LOCAL AUTHORITY] ?
3024
2735
1
2
1
YES
371
2
NO
2653
Sysmiss
2735
Is this company officially registered with the... [OTHER SPECIFY] ?
3024
2735
1
2
1
YES
27
2
NO
2997
Sysmiss
2735
Case Section Roster / Line Occurrence Sequence for O/S Merge
30060
0
1
6
1
5010
2
5010
3
5010
4
5010
5
5010
6
5010
Unique Household Identification NPS Y3
30060
0
Item Code
30060
0
1
6
1
FREE FOOD/MAIZE DISTRIBUTION
5010
2
FOOD-FOR-WORK PROGRAMME OR CASH-FOR-WORK PROGRAMME
5010
3
INPUTS-FOR WORK PROGRAMME
5010
4
SCHOLARSHIPS OR BURSARIES FOR PRIMARY SCHOOL
5010
5
SCHOLARSHIPS OR BURSARIES FOR SECONDARY SCHOOL
5010
6
OTHER ASSISTANCE (NOT LISTED ABOVE), SPECIFY:
5010
Did you or members of your household receive any […] in the past 12 months from
30060
0
1
2
1
YES
529
2
NO
29531
What is the name of the organization/program who provided this assistance?
529
0
**CONFIDENTIAL**
529
How much cash did your household receive from this organization in the last 12 m
529
29531
0
6120000
What was the value of food the household received from this organization in the
528
29532
0
2000000
What was the value of any other in-kind assistance received in the last 12 month
529
29531
0
4500000
Which members of the household participated in this program?
529
29531
1
13
1
365
2
92
3
25
4
26
5
4
6
9
7
1
8
4
10
1
11
1
13
1
Sysmiss
29531
Which members of the household participated in this program?
205
29855
1
8
1
2
2
166
3
11
4
9
5
8
6
2
7
5
8
2
Sysmiss
29855
Which members of the household participated in this program?
107
29953
0
10
0
2
3
78
4
6
5
2
6
4
7
6
8
5
9
1
10
3
Sysmiss
29953
Who in your household controls/decides on the use of assistance from the program
325
29735
1
13
1
289
2
27
3
3
4
3
6
1
7
1
13
1
Sysmiss
29735
Who in your household controls/decides on the use of assistance from the program
138
29922
0
7
0
1
1
2
2
126
3
2
4
3
6
1
7
3
Sysmiss
29922
Case Section Roster / Line Occurrence Sequence for O/S Merge
5045
0
1
4
1
5010
2
31
3
3
4
1
Unique Household Identification NPS Y3
5045
0
Code
298
0
A
263
B
31
C
3
D
1
Name of household member
298
0
**CONFIDENTIAL**
298
Number of household member
298
4747
1
14
1
188
2
97
3
7
4
4
5
1
14
1
Sysmiss
4747
What is [NAME] total balance with the group
296
4749
0
9000000
How often does [NAME] contribute to the group?
297
4748
1
4
1
DAY
11
2
WEEK
99
3
MONTH
161
4
YEAR
26
Sysmiss
4748
How often does [NAME] contribute to the group?
297
4748
0
6
0
1
1
246
2
22
3
9
4
17
5
1
6
1
Sysmiss
4748
How much does [NAME] give each time
297
4748
0
1000000
When was the last time [NAME] withdrew money?
297
4748
0
99
When was the last time [NAME] withdrew money?
297
4748
0
2013
How much did [NAME] withdraw?
209
4836
5000
10000000
What was the balance just before the withdrawal?
208
4837
0
9000000
What was the main reason [NAME] took money out this last time?
209
4836
1
10
1
SUBSISTENCE NEEDS
33
2
MEDICAL COST
9
3
SCHOOL FEES
41
4
CEREMONY/WEDDING
3
5
PURCHASE LAND
6
6
PURCHASE AGRICULTURAL INPUTS
19
7
OTHER BUSINESS INPUTS
27
8
PURCHASE AGRICULTURAL MACHINERY
0
9
PURCHASE/CONSTRUCTION OF DWELLING
37
10
OTHER (SPECIFY)
34
Sysmiss
4836
How much will [NAME] pay for this loan per [PERIOD]?
209
4836
4
11000000
How much will [NAME] pay for this loan per [PERIOD]?
208
4837
1
4
1
DAY
1
2
WEEK
16
3
MONTH
143
4
YEAR
48
Sysmiss
4837
How long will it take [NAME] to repay the loan?
209
4836
0
48
Case Section Roster / Line Occurrence Sequence for O/S Merge
5117
0
1
9
1
5010
2
81
3
18
4
3
5
1
6
1
7
1
8
1
9
1
Unique Household Identification NPS Y3
5117
0
ID loan
682
4435
1
9
1
575
2
81
3
18
4
3
5
1
6
1
7
1
8
1
9
1
Sysmiss
4435
What are the names of the persons or institutions from whom you or anyone else i
682
0
**CONFIDENTIAL**
682
CODE SOURCE OF LOAN
682
4435
1
13
1
COMMERCIAL BANKS
92
2
MICRO-FINANCE INST
93
3
BUILDING SOC./MORTGAGE
1
4
INSURANCE COMPANIES
0
5
OTHER FINANCIAL INST
24
6
NEIGHBOURS / FRIENDS
206
7
GROCERY/LOCAL MERCHANT
84
8
MONEY LENDER
20
9
EMPLOYER
14
10
RELIGIOUS INST
6
11
NGO
8
12
SELF-HELP GROUPS
90
13
OTHER (SPECIFY)
44
Sysmiss
4435
Which house-hold member was responsible for the loan?
682
4435
0
15
0
1
1
486
2
164
3
12
4
3
5
7
7
2
8
3
9
1
10
1
12
1
15
1
Sysmiss
4435
Was this a cash loan or goods on credit?
682
4435
1
2
1
CASH
586
2
GOODS
96
Sysmiss
4435
How much was borrowed or what was the value of the credit?
682
4435
500
50000000
Is the loan/credit re-paid?
682
4435
1
2
1
YES
240
2
NO
442
Sysmiss
4435
Approximately when do you expect to pay back the money?
440
4677
1
12
1
26
2
36
3
42
4
24
5
29
6
44
7
39
8
50
9
30
10
30
11
36
12
54
Sysmiss
4677
Approximately when do you expect to pay back the money?
440
4677
2009
2018
2009
1
2010
1
2012
65
2013
279
2014
52
2015
22
2016
11
2017
5
2018
4
Sysmiss
4677
Total amount to be paid on the loan including interest.
682
4435
0
59000000
What did you use this loan/credit for?
682
4435
1
11
1
SUBSISTENCE NEEDS
214
2
MEDICAL COST
39
3
SCHOOL FEES
65
4
CEREMONY/WEDDING
12
5
PURCHASE LAND
19
6
PURCHASE AGRIC. INPUTS
43
7
OTHER BUSINESS INPUTS
164
8
PURCHASE AGRIC. MACHINERY
4
9
BUY/BUILD DWELLING
59
10
OTHER(SPECIFY)
56
11
NO REASON
7
Sysmiss
4435
What did you use this loan/credit for?
87
5030
1
11
1
SUBSISTENCE NEEDS
21
2
MEDICAL COST
2
3
SCHOOL FEES
15
4
CEREMONY/WEDDING
1
5
PURCHASE LAND
4
6
PURCHASE AGRIC. INPUTS
5
7
OTHER BUSINESS INPUTS
17
8
PURCHASE AGRIC. MACHINERY
2
9
BUY/BUILD DWELLING
10
10
OTHER(SPECIFY)
5
11
NO REASON
5
Sysmiss
5030
What did you use this loan/credit for?
7
5110
1
9
1
SUBSISTENCE NEEDS
1
2
MEDICAL COST
0
3
SCHOOL FEES
1
4
CEREMONY/WEDDING
0
5
PURCHASE LAND
1
6
PURCHASE AGRIC. INPUTS
1
7
OTHER BUSINESS INPUTS
1
8
PURCHASE AGRIC. MACHINERY
0
9
BUY/BUILD DWELLING
2
10
OTHER(SPECIFY)
0
11
NO REASON
0
Sysmiss
5110
Case Section Roster / Line Occurrence Sequence for O/S Merge
5010
0
1
1
1
5010
Unique Household Identification NPS Y3
5010
0
M-PESA
5009
1
1
2
1
YES
1433
2
NO
3576
Sysmiss
1
EZY-PESA (Z-PESA)
5008
2
1
2
1
YES
24
2
NO
4984
Sysmiss
2
AIRTEL (ZAP)
5009
1
1
2
1
YES
363
2
NO
4646
Sysmiss
1
TIGO PESA
5008
2
1
2
1
YES
901
2
NO
4107
Sysmiss
2
How often does your household use this service?
2063
2947
1
8
1
DAILY
148
2
WEEKLY
271
3
EVERY 2 WEEKS
104
4
MONTHLY
346
5
EVERY 3 MONTHS
80
6
EVERY 6 MONTHS
33
7
LESS OFTEN
1078
8
NEVER
3
Sysmiss
2947
Buy airtime for yourself
2067
2943
1
2
1
YES
833
2
NO
1234
Sysmiss
2943
Buy airtime for someone else
2066
2944
1
2
1
YES
368
2
NO
1698
Sysmiss
2944
Send money
2067
2943
1
2
1
YES
1437
2
NO
630
Sysmiss
2943
Receive money
2067
2943
1
2
1
YES
1754
2
NO
313
Sysmiss
2943
Have someone pay you for a good or serivce
2067
2943
1
2
1
YES
285
2
NO
1782
Sysmiss
2943
Store/save for emergencies
2067
2943
1
2
1
YES
606
2
NO
1461
Sysmiss
2943
Store/save for other everyday expenses
2067
2943
1
2
1
YES
291
2
NO
1776
Sysmiss
2943
Store/save money for unusually large purchases
2067
2943
1
2
1
YES
108
2
NO
1959
Sysmiss
2943
Which of these was the most important use of this service?
2058
0
A
185
B
9
C
691
D
933
E
25
F
131
G
72
H
12
Which is the household main source of cash income? 1ST
5008
2
1
10
1
SALE OF FOOD CROPS
1567
2
SALE OF LIVESTOCK
87
3
SALE OF LIVESTOCK PRODUCTS
35
4
SALE OF CASH CROPS
439
5
BUSINESS INCOME
1215
6
WAGES OR SALARIES IN CASH
1277
7
OTHER CASUAL CASH EARNINGS
59
8
CASH REMITTANCES
193
9
FISHING
82
10
OTHER (SPECIFY)
54
Sysmiss
2
Which is the household main source of cash income? 2ND
2366
2644
1
10
1
SALE OF FOOD CROPS
380
2
SALE OF LIVESTOCK
133
3
SALE OF LIVESTOCK PRODUCTS
58
4
SALE OF CASH CROPS
190
5
BUSINESS INCOME
634
6
WAGES OR SALARIES IN CASH
571
7
OTHER CASUAL CASH EARNINGS
80
8
CASH REMITTANCES
232
9
FISHING
23
10
OTHER (SPECIFY)
65
Sysmiss
2644
What is the total amount of income your household has received in the form of re
5008
2
0
36000000
What is the total amount of income your household has received in the form of pr
5008
2
0
200000000
What is the total amount of income your household has received in the form of ot
5008
2
0
36000000
What was the type of other income that your household received in the last 12 mo
165
4845
1
7
1
SAVINGS, INTEREST OR INVESTMENT
13
2
REAL ESTATE SALES
14
3
NON-AGRICULTURAL ASSET SALES
5
4
AGRICULTURAL/FISHING ASSET SALES
24
5
INHERITANCE
8
6
LOTTERY/GAMBLING
1
7
OTHER (SPECIFY)
100
Sysmiss
4845
What was the type of other income that your household received in the last 12 mo
3
5007
2
3
1
SAVINGS, INTEREST OR INVESTMENT
0
2
REAL ESTATE SALES
1
3
NON-AGRICULTURAL ASSET SALES
2
4
AGRICULTURAL/FISHING ASSET SALES
0
5
INHERITANCE
0
6
LOTTERY/GAMBLING
0
7
OTHER (SPECIFY)
0
Sysmiss
5007
What was the type of other income that your household received in the last 12 mo
0
5010
1
SAVINGS, INTEREST OR INVESTMENT
0
2
REAL ESTATE SALES
0
3
NON-AGRICULTURAL ASSET SALES
0
4
AGRICULTURAL/FISHING ASSET SALES
0
5
INHERITANCE
0
6
LOTTERY/GAMBLING
0
7
OTHER (SPECIFY)
0
Sysmiss
5010
Do you or anyone else in your household have a bank account, either with a comme
5005
5
1
2
1
YES
1015
2
NO
3990
Sysmiss
5
Please list up to 3 institutions with whom you or a member of your household has
1014
0
**CONFIDENTIAL**
1014
Please list up to 3 institutions with whom you or a member of your household has
223
0
**CONFIDENTIAL**
223
Please list up to 3 institutions with whom you or a member of your household has
46
0
**CONFIDENTIAL**
46
In what year did you open your first bank account?
1008
4002
1960
2013
Why do you not have a bank account? 1
3991
1019
1
7
1
NO MONEY TO SAVE
3816
2
DO NOT TRUST FINANCIAL INSTITUTIONS
14
3
DIFFICULT TO PRODUCE REQUIRED DOCUMENTATION (ID CARD, ETC)
31
4
USE SOMEONE ELSE'S ACCOUNT
10
5
TOO FAR AWAY
52
6
DON'T WANT TO PAY USERS FEES
19
7
OTHER (SPECIFY)
49
Sysmiss
1019
Why do you not have a bank account? 2
90
4920
1
7
1
NO MONEY TO SAVE
9
2
DO NOT TRUST FINANCIAL INSTITUTIONS
8
3
DIFFICULT TO PRODUCE REQUIRED DOCUMENTATION (ID CARD, ETC)
13
4
USE SOMEONE ELSE'S ACCOUNT
3
5
TOO FAR AWAY
33
6
DON'T WANT TO PAY USERS FEES
8
7
OTHER (SPECIFY)
16
Sysmiss
4920
Why do you not have a bank account? 3
1
5009
5
5
1
NO MONEY TO SAVE
0
2
DO NOT TRUST FINANCIAL INSTITUTIONS
0
3
DIFFICULT TO PRODUCE REQUIRED DOCUMENTATION (ID CARD, ETC)
0
4
USE SOMEONE ELSE'S ACCOUNT
0
5
TOO FAR AWAY
1
6
DON'T WANT TO PAY USERS FEES
0
7
OTHER (SPECIFY)
0
Sysmiss
5009
Have you or anyone in your household received remittances or financial assistanc
5010
0
1
2
1
YES
1074
2
NO
3936
Case Section Roster / Line Occurrence Sequence for O/S Merge
5474
0
1
4
1
5010
2
315
3
105
4
44
Unique Household Identification NPS Y3
5474
0
Source ID
1538
3936
1
4
1
1074
2
315
3
105
4
44
Sysmiss
3936
What is the name of [SOURCE]?
1537
0
**CONFIDENTIAL**
1537
What is the relationship of [SOURCE] to the household head?
1536
3938
1
9
1
SPOUSE
55
2
PARENT
109
3
DAUGHTER
396
4
SON
254
5
SISTER
93
6
BROTHER
176
7
OTHER RELATIVE
317
8
BUSINESS ASSOCIATE
3
9
FRIEND
133
10
OTHER (SPECIFY)
0
Sysmiss
3938
How old is [SOURCE]?
1535
3939
2
102
Sex of [SOURCE]?
1535
3939
1
2
1
MALE
1007
2
FEMALE
528
Sysmiss
3939
What is the highest grade completed by [SOURCE]?
1535
3939
1
46
1
PP
1
2
ADULT
5
3
2
11
D1
1
12
D2
10
13
D3
15
14
D4
65
15
D5
9
16
D6
6
17
D7
735
18
D8
6
19
OSC
1
20
MS+COURSE
20
21
F1
6
22
F2
24
23
F3
20
24
F4
243
25
'O'+COURSE
61
31
F5
3
32
F6
25
33
'A'+COURSE
15
34
DIPLOMA
34
41
U1
2
42
U2
3
43
U3
58
44
U4
12
45
U5&+
23
46
NO EDUCATION
130
Sysmiss
3939
From what location did [SOURCE] send these remittances?
1534
3940
1
71
1
DODOMA
31
2
ARUSHA
85
3
KILIMANJARO
40
4
TANGA
55
5
MOROGORO
46
6
PWANI
41
7
DAR ES SALAAM
458
8
LINDI
68
9
MTWARA
111
10
RUVUMA
41
11
IRINGA
46
12
MBEYA
49
13
SINGIDA
17
14
TABORA
38
15
RUKWA
24
16
KIGOMA
30
17
SHINYANGA
80
18
KAGERA
39
19
MWANZA
95
20
MARA
21
21
MANYARA
23
51
KASKAZINI UNGUJA
6
52
KUSINI UNGUJA
1
53
MJINI/MAGHARIBI UNGUJA
34
54
KASKAZINI PEMBA
8
55
KUSINI PEMBA
7
61
USA
1
62
UK
7
63
UAE
14
64
SOUTH AFRICA
0
65
JAPAN
0
66
INDIA
0
67
KENYA
5
68
UGANDA
3
69
GERMANY
0
70
CANADA
0
71
OTHER (SPECIFY)
10
Sysmiss
3940
How long has [SOURCE] lived in his/her present location? (Unit)
1535
3939
1
2
1
MONTHS
60
2
YEARS
1475
Sysmiss
3939
How long has [SOURCE] lived in his/her present location? (Number)
1535
3939
0
91
Which of the following remittances channels did [SOURCE] use in the past 12 mont
1535
3939
1
10
1
BANK ACCOUNT
27
2
WESTERN UNION
11
3
MONEYGRAM
0
4
POST OFFICE
3
5
FRIENDS/RELATIVES
558
6
M-PESA
357
7
TIGO PESA
0
8
EZY PESA
53
9
AIRTEL MONEY
134
10
OTHER (SPECIFY)
392
Sysmiss
3939
Which of the following remittances channels did [SOURCE] use in the past 12 mont
73
5401
2
10
1
BANK ACCOUNT
0
2
WESTERN UNION
1
3
MONEYGRAM
1
4
POST OFFICE
0
5
FRIENDS/RELATIVES
19
6
M-PESA
22
7
TIGO PESA
0
8
EZY PESA
3
9
AIRTEL MONEY
11
10
OTHER (SPECIFY)
16
Sysmiss
5401
Which of the following remittances channels did [SOURCE] use in the past 12 mont
5
5469
9
10
1
BANK ACCOUNT
0
2
WESTERN UNION
0
3
MONEYGRAM
0
4
POST OFFICE
0
5
FRIENDS/RELATIVES
0
6
M-PESA
0
7
TIGO PESA
0
8
EZY PESA
0
9
AIRTEL MONEY
3
10
OTHER (SPECIFY)
2
Sysmiss
5469
How much in total did you receive in cash from [SOURCE] during the last 12 month
1534
3940
0
7000000
For what did you or anyone in your household use the cash sent from [SOURCE] in
1302
4172
1
8
1
HOUSEHOLD CONSUMPTION
1070
2
EDUCATION
80
3
HEALTH
68
4
INVESTMENT
3
5
BUSINESS
16
6
FARMING
28
7
CEREMONY
10
8
OTHER (SPECIFY)
27
Sysmiss
4172
For what did you or anyone in your household use the cash sent from [SOURCE] in
246
5228
1
8
1
HOUSEHOLD CONSUMPTION
19
2
EDUCATION
84
3
HEALTH
104
4
INVESTMENT
0
5
BUSINESS
3
6
FARMING
24
7
CEREMONY
3
8
OTHER (SPECIFY)
9
Sysmiss
5228
For what did you or anyone in your household use the cash sent from [SOURCE] in
56
5418
1
8
1
HOUSEHOLD CONSUMPTION
4
2
EDUCATION
4
3
HEALTH
24
4
INVESTMENT
0
5
BUSINESS
7
6
FARMING
14
7
CEREMONY
0
8
OTHER (SPECIFY)
3
Sysmiss
5418
Who in the household decides on the use of thes cash send by [SOURCE] in the las
1302
4172
1
10
1
1145
2
116
3
22
4
9
5
4
6
3
8
1
9
1
10
1
Sysmiss
4172
Who in the household decides on the use of thes cash send by [SOURCE] in the las
334
5140
1
11
1
7
2
309
3
13
4
3
5
1
11
1
Sysmiss
5140
What is the total value of all those items which you received in kind in the las
1535
3939
0
2100000
Who in the household decides on the use of the in-kind items sent by [SOURCE] in
654
4820
1
10
1
566
2
77
3
5
4
3
6
1
7
1
10
1
Sysmiss
4820
Who in the household decides on the use of the in-kind items sent by [SOURCE] in
201
5273
1
11
1
7
2
180
3
10
4
1
5
1
6
1
11
1
Sysmiss
5273
Have you or anyone in your household received remittances or financial assistanc
5474
0
1
2
1
YES
1538
2
NO
3936
Case Section Roster / Line Occurrence Sequence for O/S Merge
95190
0
1
19
1
5010
2
5010
3
5010
4
5010
5
5010
6
5010
7
5010
8
5010
9
5010
10
5010
11
5010
12
5010
13
5010
14
5010
15
5010
16
5010
17
5010
18
5010
19
5010
Unique Household Identification NPS Y3
95190
0
Shock ID
95190
0
101
119
101
DROUGHT OR FLOODS
5010
102
CROP DISEASE OR CROP PESTS
5010
103
LIVESTOCK DIED OR WERE STOLEN
5010
104
HOUSEHOLD BUSINESS FAILURE, NON-AGRICULTURAL
5010
105
LOSS OF SALARIED EMPLOYMENT OR NON-PAYMENT OF SALARY
5010
106
LARGE FALL IN SALE PRICES FOR CROPS
5010
107
LARGE RISE IN PRICE OF FOOD
5010
108
LARGE RISE IN AGRICULTURAL INPUT PRICES
5010
109
SEVERE WATER SHORTAGE
5010
110
LOSS OF LAND
5010
111
CHRONIC/SEVERE ILLNESS OR ACCIDENT OF HOUSEHOLD MEMBER
5010
112
DEATH OF A MEMBER OF HOUSEHOLD
5010
113
DEATH OF OTHER FAMILY MEMBER
5010
114
BREAK-UP OF THE HOUSEHOLD
5010
115
JAILED
5010
116
FIRE
5010
117
HIJACKING/ROBBERY/BURGLARY/ASSAULT
5010
118
DWELLING DAMAGED, DESTROYED
5010
119
OTHER (SPECIFY)
5010
Over the past five years, was your household severely affected negatively by any
95170
20
1
2
1
YES
10741
2
NO
84429
Sysmiss
20
Rank the three most significant shocks you experienced
8247
86943
1
3
1
MOST SEVERE
3823
2
SECOND MOST SEVERE
2715
3
THIRD MOST SEVERE
1709
Sysmiss
86943
Did [SHOCK] cause a reduction in household income and/or assets?
8247
86943
1
4
1
INCOME LOSS
4650
2
ASSET LOSS
617
3
LOSS OF BOTH
1953
4
NEITHER
1027
Sysmiss
86943
How disperse was this shock? It affected...
8247
86943
1
4
1
ONLY THIS HH
2491
2
SOME OTHER HHS
1087
3
MOST HHS IN THIS COMMUNITY
3588
4
ALL HHS IN THIS COMMUNITY
1081
Sysmiss
86943
When did this [SHOCK] occur? YEAR
8245
86945
2000
9999
2000
1
2001
1
2004
1
2005
4
2006
27
2007
125
2008
495
2009
928
2010
1280
2011
2302
2012
2978
2013
102
9999
Don't Know
1
Sysmiss
86945
When did this [SHOCK] occur? MONTH
8245
86945
1
99
1
JANUARY
530
2
FEBRUARY
634
3
MARCH
546
4
APRIL
594
5
MAY
447
6
JUNE
769
7
JULY
809
8
AUGUST
790
9
SEPTEMBER
755
10
OCTOBER
743
11
NOVEMBER
481
12
DECEMBER
725
99
Don't Know
422
Sysmiss
86945
What did your household do in response to this [SHOCK] to try to regain your for
8244
86946
1
20
1
RELIED ON OWN-SAVINGS
1615
2
RECEIVED UNCONDITIONAL HELP FROM RELATIVES/FRIENDS
906
3
RECEIVED UNCONDITIONAL HELP FROM GOVERNEMENT
82
4
RECEIVED UNCONDITIONAL HELP FROM NGO/RELIGIOUS INSTITUTION
20
5
CHANGED EATING PATTERNS
233
6
EMPLOYED HOUSEHOLD MEMBERS TOOK ON MORE EMPLOYMENT
71
7
ADULT HOUSEHOLD MEMBERS WHO WERE PREVIOUSLY NOT WORKING HAD TO FIND WORK
84
8
HOUSEHOLD MEMBERS MIGRATED
24
9
REDUCED EXPENDITURES ON HEALTH AND/OR EDUCATION
11
10
OBTAINED CREDIT
69
11
SOLD AGRICULTURAL ASSETS
11
12
SOLD DURABLE ASSETS
10
13
SOLD LAND/BUILDING
14
14
SOLD CROP STOCK
47
15
SOLD LIVESTOCK
94
16
INTENSIFY FISHING
3
17
SENT CHILDREN TO LIVE ELSEWHERE
7
18
ENGAGED IN SPIRITUAL EFFORTS
267
19
DID NOT DO ANYTHING
4435
20
OTHER (SPECIFY)
241
Sysmiss
86946
What did your household do in response to this [SHOCK] to try to regain your for
357
94833
1
20
1
RELIED ON OWN-SAVINGS
36
2
RECEIVED UNCONDITIONAL HELP FROM RELATIVES/FRIENDS
135
3
RECEIVED UNCONDITIONAL HELP FROM GOVERNEMENT
13
4
RECEIVED UNCONDITIONAL HELP FROM NGO/RELIGIOUS INSTITUTION
1
5
CHANGED EATING PATTERNS
18
6
EMPLOYED HOUSEHOLD MEMBERS TOOK ON MORE EMPLOYMENT
13
7
ADULT HOUSEHOLD MEMBERS WHO WERE PREVIOUSLY NOT WORKING HAD TO FIND WORK
9
8
HOUSEHOLD MEMBERS MIGRATED
6
9
REDUCED EXPENDITURES ON HEALTH AND/OR EDUCATION
0
10
OBTAINED CREDIT
14
11
SOLD AGRICULTURAL ASSETS
1
12
SOLD DURABLE ASSETS
3
13
SOLD LAND/BUILDING
4
14
SOLD CROP STOCK
4
15
SOLD LIVESTOCK
14
16
INTENSIFY FISHING
1
17
SENT CHILDREN TO LIVE ELSEWHERE
7
18
ENGAGED IN SPIRITUAL EFFORTS
34
19
DID NOT DO ANYTHING
24
20
OTHER (SPECIFY)
20
Sysmiss
94833
What did your household do in response to this [SHOCK] to try to regain your for
33
95157
1
20
1
RELIED ON OWN-SAVINGS
4
2
RECEIVED UNCONDITIONAL HELP FROM RELATIVES/FRIENDS
8
3
RECEIVED UNCONDITIONAL HELP FROM GOVERNEMENT
0
4
RECEIVED UNCONDITIONAL HELP FROM NGO/RELIGIOUS INSTITUTION
0
5
CHANGED EATING PATTERNS
2
6
EMPLOYED HOUSEHOLD MEMBERS TOOK ON MORE EMPLOYMENT
1
7
ADULT HOUSEHOLD MEMBERS WHO WERE PREVIOUSLY NOT WORKING HAD TO FIND WORK
0
8
HOUSEHOLD MEMBERS MIGRATED
3
9
REDUCED EXPENDITURES ON HEALTH AND/OR EDUCATION
0
10
OBTAINED CREDIT
0
11
SOLD AGRICULTURAL ASSETS
0
12
SOLD DURABLE ASSETS
0
13
SOLD LAND/BUILDING
0
14
SOLD CROP STOCK
0
15
SOLD LIVESTOCK
1
16
INTENSIFY FISHING
0
17
SENT CHILDREN TO LIVE ELSEWHERE
0
18
ENGAGED IN SPIRITUAL EFFORTS
5
19
DID NOT DO ANYTHING
3
20
OTHER (SPECIFY)
6
Sysmiss
95157
Case Section Roster / Line Occurrence Sequence for O/S Merge
5027
0
1
2
1
5010
2
17
Unique Household Identification NPS Y3
5027
0
Serial NO
341
0
D1
324
D2
17
Name of deceased
341
0
**CONFIDENTIAL**
341
Relation to head of Household
341
4686
1
10
1
HEAD
37
2
SPOUSE
69
3
CHILD OF HEAD
116
4
NIECE/NEPHEW
5
5
BROTHER/SISTER
13
6
GRANDCHILD OF THE HEAD
34
7
PARENT OF THE HEAD
37
8
OTHER RELATIVE
25
9
SERVANT
0
10
OTHER SPECIFY
5
Sysmiss
4686
If this member was present at last survey, enter y2 hh id number from tracking f
341
4686
1
104
1
83
2
44
3
24
4
21
5
14
6
7
7
7
8
6
9
8
10
2
11
1
12
3
15
1
17
1
33
1
46
1
99
Not present in Y2
115
102
1
104
1
Sysmiss
4686
Sex
341
4686
1
2
1
MALE
177
2
FEMALE
164
Sysmiss
4686
Was this event registered with the death registration system?
341
4686
1
2
1
YES
177
2
NO
164
Sysmiss
4686
Age at Death year
340
4687
0
105
0
64
1
16
2
9
3
10
4
5
5
9
6
1
8
1
9
2
10
2
11
1
12
2
14
1
15
2
16
1
17
1
18
2
19
3
20
3
21
2
22
2
23
2
24
3
25
3
26
3
27
1
28
8
29
5
30
6
31
1
32
4
33
2
34
2
35
2
36
3
37
3
38
3
39
3
40
5
41
8
42
5
43
2
44
4
45
1
46
5
47
2
48
1
49
2
50
3
51
3
52
4
53
1
54
2
55
7
56
2
57
3
58
3
59
2
61
1
63
4
64
3
65
2
66
1
67
4
68
2
69
3
70
2
71
1
72
5
73
2
74
2
75
1
76
2
77
3
78
3
79
4
80
4
81
3
82
2
83
3
84
2
85
1
86
3
87
2
88
1
89
3
90
1
91
2
92
1
94
1
95
1
96
1
99
1
100
2
102
1
103
1
105
1
999
DON'T KNOW
0
Sysmiss
4687
Age at Death month
296
4731
0
99
What kind of work did [NAME] do for most of his/her life?
223
4804
1
16
1
AGRICULTURE/LIVESTOCK
121
2
FISHING
5
3
MINING
1
4
TOURISM
0
5
EMPLOYED: GOVERNMENT
7
6
PARASTATAL
2
7
PRIVATE SECTOR
11
8
NGO / RELIGIOUS
1
9
SELF-EMPLOYED(NOT AGRICULTURE):WITH EMPLOYEES
2
10
W/OUT EMPLOYEES
26
11
UNPAID HOUSEHOLD LABOUR
14
12
JOB SEEKERS
0
13
STUDENT
11
14
DISABLED
7
15
NO JOB
13
16
<5 YEARS OLD
2
Sysmiss
4804
Did [NAME] die of old age, an illness, or of some other cause?
341
4686
1
3
1
OLD AGE
21
2
ILLNESS
255
3
OTHER CAUSE
65
Sysmiss
4686
'What was the non-illness cause of [NAME]'s death?
65
4962
1
7
1
TRAFFIC ACCIDENT
8
2
OTHER ACCIDENT OR INJURY
15
3
CHILDBIRTH OR COMPLICATIONS
19
4
MURDER
4
5
SUICIDE
0
6
WITCHCRAFT/SORCERY
3
7
OTHER (SPECIFY)
16
Sysmiss
4962
What was the illness that caused [NAME]'s death?
255
4772
1
34
1
MALARIA
86
2
DIARRHEA
2
3
VOMITING
3
4
FLU
1
5
ASTHMA
3
6
HEADACHE
5
7
BACKACHE
4
8
TB
18
9
DIABETES
5
10
STDs
0
11
BURN
2
12
FRACTURE
0
13
HIV/AIDS
9
14
EAR/NOSE/THROAT
3
15
TYPHOID
1
16
POISONING
0
17
DENTAL
1
18
URINATING IS PAINFUL
2
19
MENTAL DISORDER
1
20
STOMACH DISORDER
13
21
PROLONGED WOUND
0
22
SKIN PROBLEM
1
23
PREGNANCY RELATED
4
24
CANCER
7
25
LOWER RESPIRATORY
11
26
UPPER RESPIRATORY
2
27
HEART PROBLEM/BP
24
28
UNSPECIFIED LONG TERM ILLNESS
3
29
BILHARZIA/SCHISTOSOMIASIS
1
30
ARTHRITIS/NERVE DISORDER
2
31
RHEUMATISM
2
32
EYE PROBLEM
0
33
WITCHCRAFT
2
34
OTHER (SPECIFY)
37
Sysmiss
4772
What was the illness that caused [NAME]'s death?
52
4975
1
34
1
MALARIA
8
2
DIARRHEA
3
3
VOMITING
4
4
FLU
0
5
ASTHMA
0
6
HEADACHE
2
7
BACKACHE
1
8
TB
0
9
DIABETES
1
10
STDs
0
11
BURN
0
12
FRACTURE
1
13
HIV/AIDS
1
14
EAR/NOSE/THROAT
0
15
TYPHOID
2
16
POISONING
0
17
DENTAL
0
18
URINATING IS PAINFUL
1
19
MENTAL DISORDER
0
20
STOMACH DISORDER
4
21
PROLONGED WOUND
1
22
SKIN PROBLEM
0
23
PREGNANCY RELATED
0
24
CANCER
0
25
LOWER RESPIRATORY
1
26
UPPER RESPIRATORY
2
27
HEART PROBLEM/BP
3
28
UNSPECIFIED LONG TERM ILLNESS
0
29
BILHARZIA/SCHISTOSOMIASIS
1
30
ARTHRITIS/NERVE DISORDER
3
31
RHEUMATISM
2
32
EYE PROBLEM
1
33
WITCHCRAFT
3
34
OTHER (SPECIFY)
7
Sysmiss
4975
For how long was [NAME] suffering from this illness before he/she died? time
255
4772
0
40
For how long was [NAME] suffering from this illness before he/she died? unit
255
4772
1
4
1
DAY
71
2
WEEK
49
3
MONTHS
75
4
YEARS
60
Sysmiss
4772
Was this cause of death diagnosed, or is this only your own perception?
276
4751
1
3
1
MEDICAL DIAGNOSIS
199
2
NON-MEDICAL DIAGNOSIS
20
3
OWN PERCEPTION
57
Sysmiss
4751
After this person died, did you or members of your household lose any land or ot
341
4686
1
2
1
YES
28
2
NO
313
Sysmiss
4686
What was the value of the land or assets lost?
28
4999
20000
3090000
Case Section Roster / Line Occurrence Sequence for O/S Merge
5010
0
1
1
1
5010
Unique Household Identification NPS Y3
5010
0
Does anyone in the household cultivate any plot?
5010
0
1
2
1
YES
3230
2
NO
1780
Does anyone in the household own a farm plot that they do not cultivate?
5010
0
1
2
1
YES
498
2
NO
4512
Did anyone in the household own or cultivate a plot during the long rainy season
5010
0
1
2
1
YES
3267
2
NO
1743
Did anyone in the household own or cultivate any plot during the last completed
5010
0
1
2
1
YES
2777
2
NO
2233
PROCEED TO AGRICULTURE QUESTIONNAIRE
5010
0
1
2
1
YES
3331
2
NO
1679
Did anyone in the household own any livestock during the last 12 months?
5010
0
1
2
1
YES
2164
2
NO
2846
Did anyone in theis household do any fishing or operate a fish farm in the last
5010
0
1
2
1
YES
138
2
NO
4872
Did anyone in this household engage in fish trading in the last 12 months?
5010
0
1
2
1
YES
166
2
NO
4844
PROCEED TO LIVESTOCK/FISHERY QUESTIONNAIRE?
5010
0
1
2
1
YES
2294
2
NO
2716
Which gift did this household receive?
3515
1495
0
3
0
13
1
HAND HOE
1283
2
BEDNET
1071
3
OTHER
1148
Sysmiss
1495
Who in the household received the gift?
2937
2073
0
12
0
270
1
1651
2
830
3
76
4
54
5
21
6
14
7
9
8
5
9
3
10
1
11
2
12
1
Sysmiss
2073
Case Section Roster / Line Occurrence Sequence for O/S Merge
25412
0
1
54
4.022
Unique Household Identification NPS Y3
25412
0
HOUSEHOLD NUMBER
25412
0
1
3924
2090.843
Y2 ROSTER ID OF LOWEST PRESENT HOUSEHOLD MEMBER IN HH ROSTER (HH_B06)
25412
0
1
114
3.236
Individual ID
25412
0
1
54
4.022
Was [NAME] measured?
25175
237
1
2
1.214
1
YES
19789
2
NO
5386
Sysmiss
237
Why not
5379
20033
1
4
1.361
1
CURRENTLY NOT HOME
4558
2
TOO ILL
118
3
UNWILLING
286
4
OTHER (SPECIFY)
417
Sysmiss
20033
Weight
19776
5636
2
189.8
41.725
Height
19784
5628
6.1
786.7
138.158
Height / length measured with child standing or lying down?
19782
5630
1
2
1.038
1
STANDING
19024
2
LYING DOWN
758
Sysmiss
5630
Is [NAME] 5 years or younger
19782
5630
1
2
1.828
1
YES
3406
2
NO
16376
Sysmiss
5630
Upper arm circumference
3399
22013
6.7
26.4
14.814
Case Section Roster / Line Occurrence Sequence for O/S Merge
2771
0
1
6
1
2298
2
332
3
100
4
31
5
7
6
3
Unique Household Identification NPS Y3
2771
0
Network ID
1600
0
LF01
1127
LF02
332
LF03
100
LF04
31
LF05
7
LF06
3
Name of Contact
1600
0
**CONFIDENTIAL**
1600
Network Relationship with HH
1597
1174
1
20
1
RELATIVE
61
2
JIRANI
333
3
GULIO
102
4
MNADA
92
5
USHIRIKA
173
6
CHAMA WAKULIMA
4
7
SHAMBA KUBWA
5
8
M/BIASHARA BINAFSI
1
9
SOKO KUU
538
10
MKATABA BIASHARA
11
11
ABATTORI/FACTORY
0
12
EMPLOYER
6
13
RELIGIOUS INSTI.
0
14
BANK (COMMERICAL)
0
15
GROCERY/LOCAL MERCHANT
0
16
MONEY LENDER
193
17
NGO
0
18
AFISA UGANI
1
19
MARKET
2
20
OTHER
75
Sysmiss
1174
Network Location
1597
1174
1
6
1
WITHIN THE VILLAGE
1007
2
NEAR THE VILLAGE
399
3
NEAR THE TOWN
127
4
OTHER DISTRICT
38
5
OTHER REGION
19
6
ACROSS THE BORDER
7
Sysmiss
1174
Case Section Roster / Line Occurrence Sequence for O/S Merge
14042
0
1
53
Unique Household Identification NPS Y3
14042
0
Individual ID
14031
11
1
53
Name
14031
0
**CONFIDENTIAL**
14031
Age
14031
11
0
108
Sex
14031
11
1
3
1
MALE
6945
2
FEMALE
7085
3
1
Sysmiss
11
MARK WITH 'X' THE RESPONDENT OR RESPONDENTS TO THIS QUESTIONNAIRE
2916
0
X
2916
Case Section Roster / Line Occurrence Sequence for O/S Merge
34609
0
1
16
1
2164
2
2163
3
2163
4
2163
5
2163
6
2163
7
2163
8
2163
9
2163
10
2163
11
2163
12
2163
13
2163
14
2163
15
2163
16
2163
Unique Household Identification NPS Y3
34609
0
Livestock Code
34608
1
1
16
1
BULLS
2163
2
COWS
2163
3
STEERS
2163
4
HEIFERS
2163
5
MALE CALVES
2163
6
FEMALE CALVES
2163
7
GOATS
2163
8
SHEEP
2163
9
PIGS
2163
10
CHICKENS
2163
11
DUCKS
2163
12
OTHER POULTRY
2163
13
RABBITS
2163
14
DONKEYS
2163
15
DOGS
2163
16
OTHER
2163
Sysmiss
1
Livestock Name
34608
0
BATA
2163
KONDOO
2163
KUKU
2163
MBUZI
2163
MBWA
2163
NDAMA DUME
2163
NDAMA JIKE
2163
NDEGE WENGINE
2163
NG'OMBE DUME AL
2163
NG'OMBE DUME AS
2163
NG'OMBE JIKE
2163
NG'OMBE MTAMBA
2163
NGURUWE
2163
PUNDA
2163
SUNGURA
2163
WENGINE
2163
Did this household own any [ANIMAL] in the last 12 months?
34608
1
1
2
1
YES
6600
2
NO
28008
Sysmiss
1
Number of [ANIMAL] owned at the time of the last survey.
6189
28420
0
8000
Number of [ANIMAL] owned 12 months ago.
6189
28420
0
6400
How many [ANIMAL] does this household currently own? Indigenous
5999
28610
0
600
How many [ANIMAL] does this household currently own? Improved / Exotic
5963
28646
0
700
How many [ANIMAL] were born in the past 12 months?
4459
30150
0
360
Have you bought any [ANIMAL] alive in the past 12 months?
6195
28414
1
2
1
YES
1093
2
NO
5102
Sysmiss
28414
How many [ANIMAL] have you bought alive in the last 12 months?
1091
33518
1
6400
What was the total value of these purchases?
1090
33519
2
8320000
Did you receive any [ANIMAL] as a gift in the last 12 months?
6193
28416
1
2
1
YES
412
2
NO
5781
Sysmiss
28416
How many [ANIMAL] did you receive as gifts or payment for some services provided
412
34197
1
39
From whom did you receive most of these [ANIMAL]?
412
34197
1
3
1
FRIENDS/RELATIVE
382
2
NGO
10
3
OTHER (SPECIFY)
20
Sysmiss
34197
Did you give any [ANIMAL] as gist or payment for some services provided in the l
6191
28418
1
2
1
YES
618
2
NO
5573
Sysmiss
28418
How many [ANIMAL] did you give as gift or payment for some services provided in
618
33991
1
20
1
261
2
159
3
84
4
43
5
25
6
10
7
4
8
4
9
1
10
14
11
2
12
4
14
1
15
3
19
1
20
2
Sysmiss
33991
LF02_14
617
33992
1
3
1
FRIEND / RELATIVE
581
2
NGO
17
3
OTHER (SPECIFY)
19
Sysmiss
33992
Have you lost any [ANIMAL] to DISEASE in the past 12 months?
6191
28418
1
2
1
YES
1942
2
NO
4249
Sysmiss
28418
How many [ANIMAL] have you lost to DISEASE in the past 12 months?
1943
32666
1
200
What was the value of these [ANIMAL]s lost to disease?
1942
32667
0
6000000
Have you lost any [ANIMAL] to THEFT in the past 12 months?
6191
28418
1
2
1
YES
439
2
NO
5752
Sysmiss
28418
How many [ANIMAL] have you lost to THEFT in the past 12 months?
439
34170
1
100
What was the value of these [ANIMAL]s lost to THEFT?
439
34170
16
2000000
Have you last any [ANIMAL] to INJURY/ACCIDENT/NATURAL CALAMITY in the past 12 mo
6191
28418
1
2
1
YES
881
2
NO
5310
Sysmiss
28418
How many [ANIMAL] have you lost to INJURY/ACCIDENT/NATURAL CALAMITY in the past
881
33728
1
116
What was the value of these [ANIMAL] lost to INJURY/ACCIDENT/NATURAL CALAMITY in
881
33728
0
2400000
Have you sold any [ANIMAL] alive in the past 12 months?
6193
28416
1
2
1
YES
1585
2
NO
4608
Sysmiss
28416
How many [ANIMAL] have you sold alive in the past 12 months?
1585
33024
1
6364
What was the total value of sales?
1585
33024
15
28638000
Who in your household decided what to do with these earnings? (ID #1)
1584
33025
1
99
Who in your household decided what to do with these earnings? (ID #2)
659
33950
1
12
1
7
2
622
3
9
4
9
5
3
6
6
7
1
9
1
12
1
Sysmiss
33950
Where did you sell most [ANIMAL] that you sold? (NR ID #1)
1584
0
LF01
1321
LF02
200
LF03
45
LF04
12
LF05
2
LF99
4
Where did you sell most [ANIMAL] that you sold? (NR ID #2)
52
0
LF01
3
LF02
39
LF03
5
LF04
3
LF05
2
Did you slaughter any [ANIMAL] in the past 12 months?
6193
28416
1
2
1
YES
1886
2
NO
4307
Sysmiss
28416
How many [ANIMAL] did you slaugther in the past 12 months?
1886
32723
1
1300
What was the live weight, on average, of the [ANIMAL] that you slaughtered?
1886
32723
0
1900
How many of the [ANIMAL] slaughtered did you sell?
1886
32723
0
1300
What was the total value of the sold slaughtered [ANIMAL]?
34
34575
0
7000000
Where did you sell most [ANIMAL] that you slaughtered? (NR ID #1)
34
0
LF01
9
LF02
13
LF03
9
LF04
1
LF99
2
Where did you sell most [ANIMAL] that you slaughtered? (NR ID #2)
6
0
LF04
4
LF99
2
Who in your household decided what to do with these earnings? (ID #1)
34
34575
1
3
1
26
2
7
3
1
Sysmiss
34575
Who in your household decided what to do with these earnings? (ID #2)
12
34597
2
2
2
12
Sysmiss
34597
Did anyone in the household own any livestock during the last 12 months?
34609
0
1
1
1
YES
34609
2
NO
0
Case Section Roster / Line Occurrence Sequence for O/S Merge
12979
0
1
6
1
2164
2
2163
3
2163
4
2163
5
2163
6
2163
Unique Household Identification NPS Y3
12979
0
Livestock Category Code
12978
1
1
6
1
LARGE RUMINANTS
2163
2
SMALL RUMINANTS
2163
3
PIGS
2163
4
POULTRY
2163
5
DONKEYS
2163
6
DOGS
2163
Sysmiss
1
REFER TO SECTION 1, QUESTION 1: DID THE HOUSEHOLD OWN ANY OF THESE TYPES OF ANIM
12978
1
1
2
1
YES
4174
2
NO
8804
Sysmiss
1
What kind of diseases did [ANIMAL] suffer in the past 12 months? (#1)
4096
8883
1
23
1
BRUCELOSIS (UGONJWA WA KUTUPA MIMBA)
19
2
CBPP (HOMA YA MAPAFU)
108
3
LUMPY SKIN DISEASE (MAPELENGOZI)
91
4
CCPP (HOMA YA MAPAFU KWA MBUZI)
143
5
ECF (NDIGANA KALI)
78
6
RABIES (KICHAA CHA MBWA)
10
7
FMD (UGONWA WA MIGUU NA MIDOMO)
43
8
ANTHRAX (KIMETA)
7
9
BQ (CHAMBAVU)
5
10
NEW CASTLE DISEASE (KIDELI/MDONDO)
1039
11
SMALL POX (NDUI)
82
12
GOMBORO (GUMBORO)
11
13
HELMINTHIOSIS
67
14
ASF (HOMA YA NGURUWE)
12
15
TICK BORNE DISEASE
29
16
TYPANOSOMIASIS
4
17
FOOT ROT
11
18
TETANUS
0
19
MANGE
8
20
ANAEMIA
1
21
CANINE DISTEMPER
10
22
NOT SICK
2231
23
OTHER (SPECIFY)
87
Sysmiss
8883
What kind of diseases did [ANIMAL] suffer in the past 12 months? (#2)
194
12785
2
23
1
BRUCELOSIS (UGONJWA WA KUTUPA MIMBA)
0
2
CBPP (HOMA YA MAPAFU)
8
3
LUMPY SKIN DISEASE (MAPELENGOZI)
9
4
CCPP (HOMA YA MAPAFU KWA MBUZI)
4
5
ECF (NDIGANA KALI)
7
6
RABIES (KICHAA CHA MBWA)
0
7
FMD (UGONWA WA MIGUU NA MIDOMO)
12
8
ANTHRAX (KIMETA)
1
9
BQ (CHAMBAVU)
1
10
NEW CASTLE DISEASE (KIDELI/MDONDO)
5
11
SMALL POX (NDUI)
34
12
GOMBORO (GUMBORO)
4
13
HELMINTHIOSIS
4
14
ASF (HOMA YA NGURUWE)
2
15
TICK BORNE DISEASE
10
16
TYPANOSOMIASIS
2
17
FOOT ROT
6
18
TETANUS
0
19
MANGE
2
20
ANAEMIA
1
21
CANINE DISTEMPER
0
22
NOT SICK
68
23
OTHER (SPECIFY)
14
Sysmiss
12785
What kind of diseases did [ANIMAL] suffer in the past 12 months? (#3)
73
12906
5
22
1
BRUCELOSIS (UGONJWA WA KUTUPA MIMBA)
0
2
CBPP (HOMA YA MAPAFU)
0
3
LUMPY SKIN DISEASE (MAPELENGOZI)
0
4
CCPP (HOMA YA MAPAFU KWA MBUZI)
0
5
ECF (NDIGANA KALI)
1
6
RABIES (KICHAA CHA MBWA)
0
7
FMD (UGONWA WA MIGUU NA MIDOMO)
2
8
ANTHRAX (KIMETA)
1
9
BQ (CHAMBAVU)
0
10
NEW CASTLE DISEASE (KIDELI/MDONDO)
1
11
SMALL POX (NDUI)
0
12
GOMBORO (GUMBORO)
0
13
HELMINTHIOSIS
0
14
ASF (HOMA YA NGURUWE)
0
15
TICK BORNE DISEASE
0
16
TYPANOSOMIASIS
1
17
FOOT ROT
0
18
TETANUS
0
19
MANGE
0
20
ANAEMIA
0
21
CANINE DISTEMPER
0
22
NOT SICK
67
23
OTHER (SPECIFY)
0
Sysmiss
12906
What kind of diseases did [ANIMAL] suffer in the past 12 months? (#4)
71
12908
5
22
1
BRUCELOSIS (UGONJWA WA KUTUPA MIMBA)
0
2
CBPP (HOMA YA MAPAFU)
0
3
LUMPY SKIN DISEASE (MAPELENGOZI)
0
4
CCPP (HOMA YA MAPAFU KWA MBUZI)
0
5
ECF (NDIGANA KALI)
1
6
RABIES (KICHAA CHA MBWA)
0
7
FMD (UGONWA WA MIGUU NA MIDOMO)
0
8
ANTHRAX (KIMETA)
0
9
BQ (CHAMBAVU)
0
10
NEW CASTLE DISEASE (KIDELI/MDONDO)
1
11
SMALL POX (NDUI)
0
12
GOMBORO (GUMBORO)
1
13
HELMINTHIOSIS
0
14
ASF (HOMA YA NGURUWE)
0
15
TICK BORNE DISEASE
0
16
TYPANOSOMIASIS
0
17
FOOT ROT
0
18
TETANUS
0
19
MANGE
0
20
ANAEMIA
0
21
CANINE DISTEMPER
0
22
NOT SICK
68
23
OTHER (SPECIFY)
0
Sysmiss
12908
Did you vaccinate your [ANIMAL] in the past 12 months?
4096
8883
1
3
1
YES, ALL ANIMALS AT LEAST ONCE
1022
2
YES, SOME
121
3
NO
2953
Sysmiss
8883
Who provided the vaccine (or vaccinated) your [ANIMAL]?
1141
11838
1
4
1
PRIVATE CLINIC
516
2
DISTRICT VET CLINIC
338
3
NGO/PROJECT
27
4
OTHER (SPECIFY)
260
Sysmiss
11838
Against which diseases did you vaccinate your [ANIMAL]? (#1)
1138
11841
1
14
1
BRUCELOSIS (UGONJWA WA KUTUPA MIMBA)
27
2
CBPP (HOMA YA MAPAFU)
174
3
LUMPY SKIN DISEASE (MAPELENGOZI)
86
4
CCPP (HOMA YA MAPAFU KWA MBUZI)
115
5
ECF (NDIGANA KALI)
108
6
RABIES (KICHAA CHA MBWA)
102
7
FMD (UGONWA WA MIGUU NA MIDOMO)
49
8
ANTHRAX (KIMETA)
19
9
BQ (CHAMBAVU)
7
10
NEW CASTLE DISEASE (KIDELI/MDONDO)
320
11
SMALL POX (NDUI)
33
12
GOMBORO (GUMBORO)
5
13
NOT VACCINATED
44
14
OTHER, SPECIFY
49
Sysmiss
11841
Against which diseases did you vaccinate your [ANIMAL]? (#2)
127
12852
1
14
1
BRUCELOSIS (UGONJWA WA KUTUPA MIMBA)
3
2
CBPP (HOMA YA MAPAFU)
12
3
LUMPY SKIN DISEASE (MAPELENGOZI)
26
4
CCPP (HOMA YA MAPAFU KWA MBUZI)
8
5
ECF (NDIGANA KALI)
26
6
RABIES (KICHAA CHA MBWA)
1
7
FMD (UGONWA WA MIGUU NA MIDOMO)
8
8
ANTHRAX (KIMETA)
6
9
BQ (CHAMBAVU)
2
10
NEW CASTLE DISEASE (KIDELI/MDONDO)
2
11
SMALL POX (NDUI)
15
12
GOMBORO (GUMBORO)
6
13
NOT VACCINATED
9
14
OTHER, SPECIFY
3
Sysmiss
12852
Against which diseases did you vaccinate your [ANIMAL]? (#3)
18
12961
1
14
1
BRUCELOSIS (UGONJWA WA KUTUPA MIMBA)
1
2
CBPP (HOMA YA MAPAFU)
0
3
LUMPY SKIN DISEASE (MAPELENGOZI)
1
4
CCPP (HOMA YA MAPAFU KWA MBUZI)
0
5
ECF (NDIGANA KALI)
4
6
RABIES (KICHAA CHA MBWA)
0
7
FMD (UGONWA WA MIGUU NA MIDOMO)
2
8
ANTHRAX (KIMETA)
1
9
BQ (CHAMBAVU)
0
10
NEW CASTLE DISEASE (KIDELI/MDONDO)
1
11
SMALL POX (NDUI)
1
12
GOMBORO (GUMBORO)
2
13
NOT VACCINATED
4
14
OTHER, SPECIFY
1
Sysmiss
12961
Against which diseases did you vaccinate your [ANIMAL]? (#4)
5
12974
5
13
1
BRUCELOSIS (UGONJWA WA KUTUPA MIMBA)
0
2
CBPP (HOMA YA MAPAFU)
0
3
LUMPY SKIN DISEASE (MAPELENGOZI)
0
4
CCPP (HOMA YA MAPAFU KWA MBUZI)
0
5
ECF (NDIGANA KALI)
1
6
RABIES (KICHAA CHA MBWA)
0
7
FMD (UGONWA WA MIGUU NA MIDOMO)
0
8
ANTHRAX (KIMETA)
0
9
BQ (CHAMBAVU)
0
10
NEW CASTLE DISEASE (KIDELI/MDONDO)
1
11
SMALL POX (NDUI)
0
12
GOMBORO (GUMBORO)
0
13
NOT VACCINATED
3
14
OTHER, SPECIFY
0
Sysmiss
12974
During the last 12 months have you used dewormers on your [ANIMAL]?
3685
9294
1
3
1
YES, ALL ANIMALS AT LEAST ONCE
826
2
YES, SOME
113
3
NO
2746
Sysmiss
9294
Who administered the dewormer treatment to your [ANIMAL]?
938
12041
1
4
1
PRIVATE VET CLINIC
473
2
DISTRICT VET CLINIC
140
3
NGO/PROJECT
2
4
OTHER, SPECIFY
323
Sysmiss
12041
During the last 12 months, have you taken any preventative measures for you [ANI
1827
11152
1
3
1
YES, ALL ANIMALS
668
2
YES, SOME ANIMALS
23
3
NO
1136
Sysmiss
11152
What preventative measures did you take for your [ANIMAL]?
685
12294
1
3
1
DIPPING/DIP TANK
97
2
SPRAYING
564
3
OTHER, SPECIFY
24
Sysmiss
12294
During the last 12 months has your [ANIMAL] been treated against ticks?
1827
11152
1
3
1
YES, ALL ANIMALS
302
2
YES, SOME ANIMALS
44
3
NO
1481
Sysmiss
11152
Who administered the tick treatment to you [ANIMAL]?
343
12636
1
4
1
PRIVATE VET CLINIC
182
2
DISTRICT VET CLINIC
71
3
NGO/PROJECT
1
4
OTHER, SPECIFY
89
Sysmiss
12636
During the last 12 months has your [ANIMAL] received som curative treatments?
3683
9296
1
3
1
YES, ALL ANIMALS
840
2
YES, SOME ANIMALS
163
3
NO
2680
Sysmiss
9296
Who adiminstered the curative treatment to your [ANIMAL]?
999
11980
1
4
1
PRIVATE VET CLINIC
551
2
DISTRICT VET CLINIC
168
3
NGO/PROJECT
4
4
OTHER, SPECIFY
276
Sysmiss
11980
How much did you spend in total on vaccines, treatments and other veterinary cos
3680
9299
0
1750000
Did anyone in the household own any livestock during the last 12 months?
12979
0
1
1
1
YES
12979
2
NO
0
Case Section Roster / Line Occurrence Sequence for O/S Merge
12979
0
1
6
1
2164
2
2163
3
2163
4
2163
5
2163
6
2163
Unique Household Identification NPS Y3
12979
0
Livestock Category Code
12978
1
1
6
1
LARGE RUMINANTS
2163
2
SMALL RUMINANTS
2163
3
PIGS
2163
4
POULTRY
2163
5
DONKEYS
2163
6
DOGS
2163
Sysmiss
1
What have been for this household the major feeding practices for [ANIMAL] in th
3686
9293
1
6
1
ONLY GRAZING/SCAVENGING
2246
2
MAINLY GRAZING/SCAVENGING W/ SOME FEEDING
565
3
MAINLY FEEDING W/ SOME GRAZING/SCAVENGING
152
4
ONLY FEEDING (NO GRAZING/SCAVENGING)
432
5
TETHERING
252
6
OTHER SPECIFY
39
Sysmiss
9293
What have been for this household the major feeding practices for [ANIMAL] in th
44
12935
1
5
1
ONLY GRAZING/SCAVENGING
9
2
MAINLY GRAZING/SCAVENGING W/ SOME FEEDING
16
3
MAINLY FEEDING W/ SOME GRAZING/SCAVENGING
5
4
ONLY FEEDING (NO GRAZING/SCAVENGING)
8
5
TETHERING
6
6
OTHER SPECIFY
0
Sysmiss
12935
Did you purchase any feed/fodder for your [ANIMAL] in the past 12 months?
3686
9293
1
2
1
YES
720
2
NO
2966
Sysmiss
9293
In which months did you purchase feed/fodder? (Jan)
334
0
X
334
In which months did you purchase feed/fodder? (Feb)
349
0
X
349
In which months did you purchase feed/fodder? (Mar)
364
0
X
364
In which months did you purchase feed/fodder? (Apr)
353
0
X
353
In which months did you purchase feed/fodder? (May)
360
0
X
360
In which months did you purchase feed/fodder? (Jun)
395
0
X
395
In which months did you purchase feed/fodder? (Jul)
394
0
X
394
In which months did you purchase feed/fodder? (Aug)
423
0
X
423
In which months did you purchase feed/fodder? (Sep)
422
0
X
422
In which months did you purchase feed/fodder? (Oct)
411
0
X
411
In which months did you purchase feed/fodder? (Nov)
354
0
X
354
In which months did you purchase feed/fodder? (Dec)
320
0
X
320
How much has this household paid to feed the [ANIMAL] in the past 12 months? (TS
719
12260
0
6000000
How frequently, on average, has this household watered [ANIMAL] in the past 12 m
3686
9293
1
6
1
ANIMALS GET ON THEIR OWN FROM AVAILABLE SOURCES
867
2
ONCE A DAY
1569
3
TWICE A DAY
546
4
THREE TIMES A DAY
170
5
THROUGHOUT THE DAY
487
6
OTHER (SPECIFY)
47
Sysmiss
9293
What have been the main source of water for [ANIMAL] in the past 12 months? (1st
2821
10158
1
10
1
TAP WATER
723
2
BOREHOLE
223
3
DAM
157
4
WELL
787
5
RIVER
504
6
SPRING
228
7
STREAM
29
8
CONSTRUCTED WATER POINTS
89
9
RAINWATER HARVESTING
14
10
OTHER, SPECIFY
67
Sysmiss
10158
What have been the main source of water for [ANIMAL] in the past 12 months? (2nd
55
12924
1
9
1
TAP WATER
6
2
BOREHOLE
3
3
DAM
0
4
WELL
8
5
RIVER
11
6
SPRING
3
7
STREAM
7
8
CONSTRUCTED WATER POINTS
2
9
RAINWATER HARVESTING
15
10
OTHER, SPECIFY
0
Sysmiss
12924
Has this household eve paid to water [ANIMAL] in the past 12 months?
2820
10159
1
2
1
YES
107
2
NO
2713
Sysmiss
10159
In which months did you pay to water [ANIMAL] in the past 12 months? (Jan)
68
0
X
68
In which months did you pay to water [ANIMAL] in the past 12 months? (Feb)
65
0
X
65
In which months did you pay to water [ANIMAL] in the past 12 months? (Mar)
65
0
X
65
In which months did you pay to water [ANIMAL] in the past 12 months? (Apr)
67
0
X
67
In which months did you pay to water [ANIMAL] in the past 12 months? (May)
73
0
X
73
In which months did you pay to water [ANIMAL] in the past 12 months? (Jun)
80
0
X
80
In which months did you pay to water [ANIMAL] in the past 12 months? (Jul)
87
0
X
87
In which months did you pay to water [ANIMAL] in the past 12 months? (Aug)
91
0
X
91
In which months did you pay to water [ANIMAL] in the past 12 months? (Sep)
97
0
X
97
In which months did you pay to water [ANIMAL] in the past 12 months? (Oct)
89
0
X
89
In which months did you pay to water [ANIMAL] in the past 12 months? (Nov)
66
0
X
66
In which months did you pay to water [ANIMAL] in the past 12 months? (Dec)
57
0
X
57
How much has this household paid to access the main water sources for [ANIMAL] i
108
12871
0
1260000
Did anyone in this household move with the herds away from the household for mor
1126
11853
0
55
Did anyone in this household move with the herds away from the household for mor
339
12640
0
55
What housing system for [ANIMAL] has this household mainly used in the past 12 m
3686
9293
1
7
1
NONE
522
2
CONFINED IN SHEDS
1799
3
CONFINED IN PADDOCKS
15
4
CONFINED FENCES
574
5
CAGE
14
6
BASKET
21
7
OTHER, SPECIFY
741
Sysmiss
9293
Has this household practiced any controlled mating or other breeding strategy fo
3686
9293
1
2
1
YES
768
2
NO
2918
Sysmiss
9293
Was have been the main controlled mating or breeding strategies used by this hou
767
12212
1
9
1
NONE
9
2
NATURAL MATING, SIRE SELECTED FROM WITHIN HERD
527
3
NATURAL MATING, SIRE PURCHASED
8
4
NATURAL MATING, SIRE EXCHANGED
33
5
ARTIFICIAL INSEMMINATION
19
6
DAMN PURCHASED
0
7
DAM EXCHANGED
3
8
NONE, BREEDING MALES CASTRATED
44
9
OTHER, SPECIFY
124
Sysmiss
12212
Was have been the main controlled mating or breeding strategies used by this hou
9
12970
1
9
1
NONE
2
2
NATURAL MATING, SIRE SELECTED FROM WITHIN HERD
1
3
NATURAL MATING, SIRE PURCHASED
0
4
NATURAL MATING, SIRE EXCHANGED
1
5
ARTIFICIAL INSEMMINATION
1
6
DAMN PURCHASED
0
7
DAM EXCHANGED
0
8
NONE, BREEDING MALES CASTRATED
1
9
OTHER, SPECIFY
3
Sysmiss
12970
Case Section Roster / Line Occurrence Sequence for O/S Merge
12979
0
1
6
1
2164
2
2163
3
2163
4
2163
5
2163
6
2163
Unique Household Identification NPS Y3
12979
0
Livestock Category Code
12978
1
1
6
1
LARGE RUMINANTS
2163
2
SMALL RUMINANTS
2163
3
PIGS
2163
4
POULTRY
2163
5
DONKEYS
2163
6
DOGS
2163
Sysmiss
1
In principal, who is responsible for keeping [ANIMAL]? (ID #1)
3684
9295
1
99
In principal, who is responsible for keeping [ANIMAL]? (ID #2)
1838
11141
1
14
1
66
2
1133
3
275
4
150
5
90
6
43
7
39
8
16
9
11
10
8
11
3
12
3
14
1
Sysmiss
11141
Who in your household provided labor for feeding/watering of [ANIMAL]? (ID #1)
3684
9295
1
99
1
1759
2
1155
3
245
4
157
5
86
6
71
7
39
8
16
9
10
10
16
11
5
12
6
14
2
16
3
44
2
99
NONE
112
Sysmiss
9295
Who in your household provided labor for feeding/watering of [ANIMAL]? (ID #2)
1685
11294
1
99
Who in your household provided the labour for selling the animals and animal pro
3657
9322
1
99
1
1881
2
607
3
78
4
27
5
19
6
9
7
6
8
7
9
6
10
1
11
1
23
1
99
NONE
1014
Sysmiss
9322
Who in your household provided the labour for selling the animals and animal pro
795
12184
1
12
1
31
2
612
3
70
4
37
5
13
6
9
7
10
8
2
9
10
12
1
Sysmiss
12184
Who in your household mainly provided labour for grazing of [ANIMAL]? (ID #1)
3678
9301
1
99
1
1772
2
1057
3
240
4
145
5
88
6
66
7
48
8
16
9
9
10
13
11
6
12
1
14
3
16
3
23
1
44
2
99
NONE
208
Sysmiss
9301
Who in your household mainly provided labour for grazing of [ANIMAL]? (ID #2)
1634
11345
1
20
1
48
2
756
3
249
4
202
5
128
6
86
7
64
8
38
9
25
10
10
11
10
12
3
13
1
14
8
15
1
17
2
18
1
20
2
Sysmiss
11345
Did you hire any labor to help you with the [ANIMAL] in the past 12 months?
3682
9297
1
2
1
YES
198
2
NO
3484
Sysmiss
9297
In which months did you hire help? (Jan)
138
0
X
138
In which months did you hire help? (Feb)
138
0
X
138
In which months did you hire help? (Mar)
146
0
X
146
In which months did you hire help? (Apr)
151
0
X
151
In which months did you hire help? (May)
154
0
X
154
In which months did you hire help? (Jun)
155
0
X
155
In which months did you hire help? (Jul)
148
0
X
148
In which months did you hire help? (Aug)
146
0
X
146
In which months did you hire help? (Sep)
147
0
X
147
In which months did you hire help? (Oct)
146
0
X
146
In which months did you hire help? (Nov)
142
0
X
142
In which months did you hire help? (Dec)
134
0
X
134
What was the total cost of this labor for [ANIMAL] in the past 12 months?
198
12781
0
1200000
Case Section Roster / Line Occurrence Sequence for O/S Merge
12979
0
1
6
1
2164
2
2163
3
2163
4
2163
5
2163
6
2163
Unique Household Identification NPS Y3
12979
0
Livestock Category Code
12978
1
1
6
1
LARGE RUMINANTS
2163
2
SMALL RUMINANTS
2163
3
PIGS
2163
4
POULTRY
2163
5
DONKEYS
2163
6
DOGS
2163
Sysmiss
1
How many [ANIMAL] were milked in the last 12 months?
1633
11346
0
70
How many months on average, were [ANIMAL] milked for?
541
12438
1
14
1
23
2
30
3
56
4
68
5
50
6
87
7
46
8
30
9
35
10
29
11
3
12
83
14
1
Sysmiss
12438
What was the average milk production per day per milked [ANIMAL] durning this pe
533
12446
0.02
120
During this period in which months was milk production per animal the highest? (
541
12438
1
12
1
JANUARY
73
2
FEBRUARY
83
3
MARCH
83
4
APRIL
90
5
MAY
45
6
JUNE
44
7
JULY
25
8
AUGUST
18
9
SEPTEMBER
17
10
OCTOBER
16
11
NOVEMBER
15
12
DECEMBER
32
Sysmiss
12438
During this period in which months was milk production per animal the highest? (
533
12446
0.05
90
During this period in which month was milk production per animal the lowest? (Mo
539
12440
1
99
1
JANUARY
22
2
FEBRUARY
30
3
MARCH
33
4
APRIL
41
5
MAY
44
6
JUNE
71
7
JULY
75
8
AUGUST
58
9
SEPTEMBER
73
10
OCTOBER
43
11
NOVEMBER
29
12
DECEMBER
19
99
1
Sysmiss
12440
During this period in which month was milk production per animal the lowest? (Li
533
12446
0
60
In general, were your [ANIMAL] suckling during the time the [ANIMAL] were being
541
12438
1
2
1
LIMITED SUCKLING
372
2
UNLIMITED SUCKLING
169
Sysmiss
12438
During this period, how much of the milk produced by [ANIMAL] was consumed by yo
542
12437
0
27
During this period how many litres of [ANIMAL] liquid milk did you sell per day?
541
12438
0
100
During this period, how much of the milk produced by [ANIMAL] did you convert ea
397
12582
0
7
0
379
1
5
2
4
3
4
5
3
7
2
Sysmiss
12582
How much of this production of processed dairy products did you sell per day?
540
12439
0
23
How much did you earn on average per day from these sales of milk and processed
539
12440
0
63000
Where did you sell most of the milk from [ANIMAL] that you sold? (NR ID #1)
539
0
LF01
58
LF02
43
LF03
19
LF04
5
LF05
2
LF06
1
LF99
411
Where did you sell most of the milk from [ANIMAL] that you sold? (NR ID #2)
47
0
LF01
1
LF02
2
LF03
1
LF04
2
LF99
41
Who in your household decided what to do with these earnings? (ID #1)
496
12483
1
99
Who in your household decided what to do with these earnings? (ID #2)
151
12828
1
99
Case Section Roster / Line Occurrence Sequence for O/S Merge
12979
0
1
6
1
2164
2
2163
3
2163
4
2163
5
2163
6
2163
Unique Household Identification NPS Y3
12979
0
Livestock Category Code
12978
1
1
6
1
LARGE RUMINANTS
2163
2
SMALL RUMINANTS
2163
3
PIGS
2163
4
POULTRY
2163
5
DONKEYS
2163
6
DOGS
2163
Sysmiss
1
Has the housheold made any use of the dung produced by [ANIMAL] in the past 12 m
3766
9213
1
2
1
YES
1178
2
NO
2588
Sysmiss
9213
What have been the major uses of the dung from [ANIMAL] in the last 12 months? (
1175
11804
1
6
1
MANURE
1132
2
COOKING FUEL
4
3
FEED TO OTHER ANIMALS
0
4
CONSTRUCTION OF BUILDING
21
5
SALES
8
6
OTHER (SPECIFY)
10
Sysmiss
11804
What have been the major uses of the dung from [ANIMAL] in the last 12 months? (
10
12969
1
6
1
MANURE
3
2
COOKING FUEL
0
3
FEED TO OTHER ANIMALS
0
4
CONSTRUCTION OF BUILDING
3
5
SALES
2
6
OTHER (SPECIFY)
2
Sysmiss
12969
What was the total value of sales of the dung from [ANIMLA] in the last 12 month
10
12969
0
120000
What was the total quantity of dung produced per month form [ANIMAL] over the la
1178
11801
0
99999
What was the total quantity of dung produced per month from [ANIMAL] over the la
1174
11805
1
2
1
KG
1170
2
LITER
4
Sysmiss
11805
Has the household used any of its [ANIMAL] for its own transportation in the pas
817
12162
1
2
1
YES
205
2
NO
612
Sysmiss
12162
Has this household used any of its [ANIMAL] for ploughing its own field in the p
816
12163
1
2
1
YES
328
2
NO
488
Sysmiss
12163
Case Section Roster / Line Occurrence Sequence for O/S Merge
8653
0
1
4
1
2164
2
2163
3
2163
4
2163
Unique Household Identification NPS Y3
8653
0
Product Code
8652
1
1
4
1
EGGS
2163
2
HONEY
2163
3
SKIN / HIDES
2163
4
OTHER
2163
Sysmiss
1
Did your household produce any [PRODUCT] in the last 12 months?
8652
1
1
2
1
YES
1796
2
NO
6856
Sysmiss
1
During the last 12 months, for how many months did your household produce any [P
1796
6857
1
12
1
300
2
483
3
611
4
189
5
24
6
97
7
8
8
14
9
6
10
8
12
56
Sysmiss
6857
During these months, what was the average quantity of [PRODUCT] produced per mon
1796
6857
0
15000
During these months, what was the average quantity of [PRODUCT] produced per mon
1796
6857
1
3
1
LITRES
73
2
KGs
32
3
PIECES
1691
Sysmiss
6857
Did you sell any of the [PRODUCT] that you produced in the last 12 months?
1795
6858
1
2
1
YES
243
2
NO
1552
Sysmiss
6858
How much of the [PRODUCT] produced did you sell in the last 12 months? (Quantity
243
8410
1
30000
How much of the [PRODUCT] produced did you sell in the last 12 months? (Unit)
243
8410
1
3
1
LITRES
28
2
KGs
12
3
PIECES
203
Sysmiss
8410
What was the total value of sales of [PRODUCT] in the last 12 months?
243
8410
300
18000000
Where did you sell most [PRODUCT] that you sold? (NR ID #1)
244
0
LF01
110
LF02
88
LF03
30
LF04
10
LF05
3
LF06
2
LF99
1
Where did you sell most [PRODUCT] that you sold? (NR ID #2)
5
0
LF02
3
LF03
1
LF04
1
Who in your household decided what to do with these earnings? (ID #1)
243
8410
1
23
Who in your household decided what to do with these earnings? (ID #2)
63
8590
1
8
1
2
2
53
3
2
4
5
8
1
Sysmiss
8590
Case Section Roster / Line Occurrence Sequence for O/S Merge
302
0
1
5
1
258
2
33
3
7
4
2
5
2
Unique Household Identification NPS Y3
302
0
0043-002
1
0059-002
1
0137-001
1
0142-001
1
0155-001
1
0260-002
1
0407-008
1
0413-001
1
0419-001
1
0420-001
3
0423-003
1
0423-004
1
0455-001
1
0456-003
1
0542-005
1
0595-004
1
0596-001
1
0604-004
1
0604-010
1
0610-003
1
0611-003
1
0633-001
1
0657-002
1
0660-007
2
0669-001
1
0670-001
1
0671-004
2
0672-004
1
0673-001
1
0674-001
1
0675-001
1
0676-001
1
0681-001
1
0722-001
1
0727-002
1
0727-006
1
0758-001
1
0790-001
1
0806-002
1
0889-001
1
0890-001
2
1032-001
5
1093-002
1
1097-001
1
1106-001
1
1108-001
1
1114-001
1
1115-001
1
1116-001
2
1186-001
1
1188-005
1
1191-001
1
1288-001
1
1289-001
1
1291-001
1
1291-003
1
1294-001
1
1299-001
1
1308-001
1
1311-001
1
1343-001
1
1344-001
1
1346-001
1
1351-001
1
1354-001
1
1356-002
5
1356-004
1
1371-002
1
1478-001
1
1488-001
1
1489-001
1
1494-001
1
1495-001
1
1496-004
1
1520-001
1
1539-001
1
1544-001
1
1547-001
1
1548-001
1
1549-001
1
1550-001
1
1551-001
1
1554-002
2
1593-001
1
1654-006
1
1724-003
1
1733-001
1
1738-001
2
1741-001
1
1802-001
2
1837-001
1
1839-001
1
1840-001
2
1841-001
2
1842-001
1
1862-001
1
1863-004
1
1881-001
2
1881-002
2
1883-001
1
1924-001
1
2006-001
1
2028-001
1
2094-004
1
2096-001
1
2097-001
1
2133-002
1
2138-001
1
2232-001
1
2300-005
1
2406-004
1
2419-014
1
2484-001
2
2492-001
1
2522-001
1
2525-001
1
2528-001
1
2543-001
1
2560-001
1
2570-004
1
2571-001
1
2572-001
1
2579-001
1
2584-003
1
2595-004
2
2602-001
1
2657-102
1
2663-001
1
2666-001
1
2667-001
1
2669-002
1
2671-001
1
2674-001
1
2676-001
1
2677-004
1
2679-003
1
2680-001
1
2725-002
1
2729-001
1
2746-001
1
2791-007
2
2793-004
1
2801-001
1
2811-001
1
2843-001
1
2870-001
1
2890-001
1
2891-001
1
2909-001
1
2912-001
1
2915-001
1
2916-001
1
2935-001
1
2937-001
2
2948-001
1
2950-001
1
2965-002
1
2967-001
1
2975-001
1
2982-003
1
2984-002
1
3006-001
1
3021-001
1
3022-001
2
3029-002
1
3040-002
3
3044-003
1
3048-001
1
3058-104
1
3091-011
1
3092-001
1
3094-002
1
3116-001
1
3116-019
1
3119-001
1
3123-001
1
3125-003
1
3144-002
1
3146-001
1
3149-001
3
3150-001
2
3152-001
2
3153-001
1
3155-003
1
3157-001
1
3159-009
1
3164-001
2
3177-001
1
3178-105
1
3187-004
1
3192-001
3
3192-003
1
3199-001
1
3200-003
1
3216-001
3
3216-003
1
3217-001
1
3217-007
1
3250-001
1
3251-001
1
3277-102
2
3351-001
1
3353-001
1
3384-001
1
3388-001
1
3390-001
1
3390-003
1
3391-001
1
3392-001
1
3394-001
1
3395-001
1
3400-008
2
3402-001
1
3407-001
1
3412-001
1
3424-010
1
3426-001
1
3428-004
2
3462-001
1
3467-001
1
3468-001
1
3469-001
1
3470-001
2
3471-001
2
3472-001
1
3474-001
2
3476-001
1
3482-001
1
3487-001
1
3490-001
1
3490-004
1
3494-001
1
3497-001
1
3557-001
1
3563-001
1
3577-001
1
3592-001
1
3595-001
1
3603-002
1
3605-001
1
3666-001
1
3685-010
1
3740-001
1
3743-001
1
3744-001
1
3745-001
1
3746-001
1
3747-001
1
3749-001
2
3818-003
1
3819-001
1
3821-001
1
3823-001
1
3832-001
1
3832-002
1
3846-001
1
3850-001
1
3916-001
1
Please list the members of your household who were involved in fishing during th
286
16
0
10
0
1
1
164
2
66
3
25
4
8
5
7
6
5
7
3
8
4
9
2
10
1
Sysmiss
16
How many total weeks was [NAME] a fisher during the last 12 months?
285
17
0
52
During those weeks, approximately how many days did [NAME] fish?
285
17
0
7
0
133
1
4
2
7
3
19
4
21
5
24
6
36
7
41
Sysmiss
17
During those days, approximately how many hours did [NAME] fish?
285
17
0
24
How many total weeks did [NAME] engage in fish processing during the last 12 mon
285
17
0
52
During those weeks, approximately how many days per week did [NAME] process fish
284
18
0
7
0
159
1
4
2
7
3
13
4
19
5
21
6
29
7
32
Sysmiss
18
During those days, approximately how many hours per day did [NAME] process fish?
285
17
0
24
How many total weeks did [NAME] engage in fish trading during the last 12 months
284
18
0
52
During those weeks, approximately how many days per week did [NAME] trade fish?
284
18
0
7
0
129
1
3
2
3
3
20
4
15
5
19
6
35
7
60
Sysmiss
18
During those days, approximately how many hours per day did [NAME] trade fish?
284
18
0
24
Case Section Roster / Line Occurrance Sequence for O/S Merge
100
0
1
2
1
99
2
1
Unique Household Identification NPS Y3
100
0
0043-002
1
0059-002
1
0260-002
1
0419-001
1
0420-001
1
0455-001
1
0456-003
1
0610-003
1
0611-003
1
0633-001
1
0660-007
1
0669-001
1
0670-001
1
0671-004
1
0672-004
1
0673-001
1
0674-001
1
0675-001
1
0676-001
1
0681-001
1
0722-001
1
0727-002
1
0727-006
1
1093-002
1
1097-001
1
1186-001
1
1188-005
1
1191-001
1
1343-001
1
1344-001
1
1346-001
1
1351-001
1
1724-003
1
1733-001
1
1879-107
1
1881-002
1
1883-001
1
1924-001
1
2028-001
1
2097-001
1
2133-002
1
2138-001
1
2300-005
1
2406-004
1
2484-001
1
2492-001
1
2570-004
1
2571-001
1
2572-001
1
2579-001
1
2584-003
1
2669-002
1
2674-001
1
2677-004
1
2937-001
1
2948-001
1
2967-001
1
3006-001
1
3029-002
1
3058-104
1
3116-001
1
3116-019
1
3123-001
1
3125-003
1
3144-002
1
3146-001
1
3150-001
1
3152-001
1
3153-001
1
3155-003
1
3192-001
1
3192-003
2
3199-001
1
3200-003
1
3216-001
1
3216-003
1
3217-001
1
3217-007
1
3250-001
1
3384-001
1
3402-001
1
3412-001
1
3467-001
1
3468-001
1
3469-001
1
3470-001
1
3471-001
1
3472-001
1
3557-001
1
3561-001
1
3563-001
1
3592-001
1
3595-001
1
3678-001
1
3818-003
1
3819-001
1
3823-001
1
3846-001
1
3850-001
1
Row ID
94
6
0
1
0
15
1
79
Sysmiss
6
How many fishing men and/or children did you hire during the last 12 months? (Nu
94
6
0
10
0
89
2
3
3
1
10
1
Sysmiss
6
How many fishing men and/or children did you hire during the last 12 months? (Nu
94
6
0
48
How many fishing men and/or children did you hire during the last 12 months? (Nu
94
6
0
0
0
94
Sysmiss
6
How many fishing men and/or children did you hire during the last 12 months? (Nu
94
6
0
0
0
94
Sysmiss
6
Did you pay these workers a fixed wage?
5
95
1
2
1
YES
3
2
NO
2
Sysmiss
95
What was each of the workers paid per week? (Adult TSH / Adult/Week)
3
97
6000
300000
What was each of the workers paid per week? (Child TSH / Child/Week)
3
97
0
0
0
3
Sysmiss
97
As part of the renumeration for hired workers, did you pay these hired workers w
5
95
1
2
1
YES
4
2
NO
1
Sysmiss
95
On average per week, what quantity of fish did you pay to each hired workers dur
4
96
2
60
On average per week, what quantity of fish did you pay to each hired workers dur
4
96
3
3
1
PIECE
0
2
DOZEN / BUNDLE
0
3
KILOGRAM
4
4
5 KG BAG
0
5
10 KG BAG
0
6
25 KG BAG
0
7
SMALL BASKET
0
8
LARGE BASKET
0
9
OTHER (SPECIFY)
0
Sysmiss
96
On average per week, what quantity of fish did you pay to each hired workers dur
4
96
0
0
0
4
Sysmiss
96
On average per week, what quantity of fish did you pay to each hired workers dur
1
99
0
0
0
1
1
PIECE
0
2
DOZEN / BUNDLE
0
3
KILOGRAM
0
4
5 KG BAG
0
5
10 KG BAG
0
6
25 KG BAG
0
7
SMALL BASKET
0
8
LARGE BASKET
0
9
OTHER (SPECIFY)
0
Sysmiss
99
As part of the renumeration for hired workers, did you pay these hired workers w
5
95
1
2
1
YES
1
2
NO
4
Sysmiss
95
On average per week, how much cash as part of the boat revenue did you pay to ea
1
99
90500
90500
90500
1
Sysmiss
99
On average per week, how much cash as part of the boat revenue did you pay to ea
1
99
0
0
0
1
Sysmiss
99
During the last 12 months, did you pay the hired workers any other in-kind benef
5
95
0
0
0
5
Sysmiss
95
During the last 12 months, did you pay the hired workers any other in-kind benef
5
95
0
0
0
5
Sysmiss
95
Case Section Roster / Line Occurrence Sequence for O/S Merge
3404
0
1
14
1
258
2
242
3
242
4
242
5
242
6
242
7
242
8
242
9
242
10
242
11
242
12
242
13
242
14
242
Unique Household Identification NPS Y3
3404
0
0043-002
14
0059-002
14
0137-001
14
0142-001
14
0155-001
1
0260-002
14
0407-008
14
0413-001
1
0419-001
14
0420-001
14
0423-003
14
0423-004
14
0455-001
14
0456-003
14
0542-005
14
0595-004
14
0596-001
14
0604-004
14
0604-010
14
0610-003
14
0611-003
14
0633-001
1
0657-002
14
0660-007
14
0669-001
14
0670-001
14
0671-004
14
0672-004
14
0673-001
14
0674-001
14
0675-001
14
0676-001
14
0681-001
14
0722-001
14
0727-002
14
0727-006
14
0758-001
14
0790-001
14
0806-002
14
0889-001
14
0890-001
14
1032-001
14
1093-002
14
1097-001
14
1106-001
14
1108-001
14
1114-001
14
1115-001
14
1116-001
14
1186-001
14
1188-005
14
1191-001
14
1288-001
14
1289-001
14
1291-001
14
1291-003
14
1294-001
14
1299-001
14
1308-001
14
1311-001
14
1343-001
14
1344-001
14
1346-001
14
1351-001
14
1354-001
14
1356-002
14
1356-004
14
1371-002
14
1478-001
14
1488-001
14
1489-001
14
1494-001
14
1495-001
14
1496-004
14
1520-001
14
1539-001
14
1544-001
14
1547-001
14
1548-001
14
1549-001
14
1550-001
14
1551-001
14
1554-002
14
1593-001
14
1654-006
14
1724-003
14
1733-001
14
1738-001
14
1741-001
14
1802-001
14
1837-001
14
1839-001
14
1840-001
14
1841-001
14
1842-001
14
1862-001
14
1863-004
14
1881-001
14
1881-002
14
1883-001
14
1924-001
14
2006-001
14
2028-001
14
2094-004
14
2096-001
14
2097-001
14
2133-002
14
2138-001
14
2232-001
14
2300-005
14
2406-004
14
2419-014
14
2484-001
14
2492-001
14
2522-001
14
2525-001
14
2528-001
14
2543-001
14
2560-001
14
2570-004
14
2571-001
14
2572-001
14
2579-001
14
2584-003
14
2595-004
14
2602-001
14
2657-102
14
2663-001
14
2666-001
14
2667-001
14
2669-002
14
2671-001
14
2674-001
14
2676-001
14
2677-004
14
2679-003
14
2680-001
14
2725-002
14
2729-001
14
2746-001
14
2791-007
14
2793-004
1
2801-001
1
2811-001
14
2843-001
14
2870-001
14
2890-001
14
2891-001
14
2909-001
14
2912-001
14
2915-001
14
2916-001
1
2935-001
14
2937-001
14
2948-001
14
2950-001
14
2965-002
14
2967-001
14
2975-001
14
2982-003
14
2984-002
14
3006-001
14
3021-001
14
3022-001
14
3029-002
14
3040-002
14
3044-003
14
3048-001
14
3058-104
14
3091-011
14
3092-001
14
3094-002
14
3116-001
14
3116-019
14
3119-001
14
3123-001
14
3125-003
14
3144-002
14
3146-001
14
3149-001
14
3150-001
14
3152-001
14
3153-001
14
3155-003
14
3157-001
14
3159-009
14
3164-001
14
3177-001
14
3178-105
14
3187-004
14
3192-001
14
3192-003
14
3199-001
14
3200-003
14
3216-001
14
3216-003
14
3217-001
14
3217-007
14
3250-001
14
3251-001
14
3277-102
14
3351-001
14
3353-001
14
3384-001
14
3388-001
14
3390-001
14
3390-003
14
3391-001
14
3392-001
1
3394-001
1
3395-001
1
3400-008
14
3402-001
14
3407-001
14
3412-001
14
3424-010
14
3426-001
14
3428-004
14
3462-001
14
3467-001
14
3468-001
14
3469-001
14
3470-001
14
3471-001
14
3472-001
14
3474-001
14
3476-001
14
3482-001
14
3487-001
14
3490-001
14
3490-004
14
3494-001
14
3497-001
14
3557-001
14
3563-001
14
3577-001
14
3592-001
14
3595-001
1
3603-002
14
3605-001
14
3666-001
14
3685-010
14
3740-001
1
3743-001
14
3744-001
1
3745-001
14
3746-001
14
3747-001
1
3749-001
14
3818-003
1
3819-001
1
3821-001
1
3823-001
14
3832-001
14
3832-002
14
3846-001
14
3850-001
14
3916-001
14
Gear ID
3388
16
1
14
1
USIPA(MOSQUITO)NET
242
2
KAMBUZI(BEACH)SEINE
242
3
MBEDZA(LONG /HAND LINE)
242
4
MBUKA/NTAYA/UKONDE (GILLNET)
242
5
MONO(FISH TRAPS)
242
6
CHAVI / KOKORO (CASTNET)
242
7
MADEMA (LARGE FISH TRAP)
242
8
MTANBO WA USIKO (NETWORK OF SMALL NETS)
242
9
BWATO (DUGOUT)
242
10
PLANKBOAT
242
11
MASHUA (OUTBOARD ENGINE)
242
12
NGALAWA (TWIN-HULL BOAT)
242
13
OTHER, (SPECIFY #1)
242
14
OTHER, (SPECIFY #2)
242
Sysmiss
16
Fishing Gear
3388
0
Chandarua
242
Chavi / Kokoro (cast
242
Jahazi
242
Jarife
242
Madema (large fish t
242
Mashua (outboard eng
242
Mitego ya samaki / m
242
Mtando wa usiku
242
Mtumbwi
242
Ndoana
242
Ngalawa (twin-hull b
242
Nyavu kubwa
242
Nyingine, taja (1)
242
Nyingine, taja (2)
242
Did any household member involved in fishing activities during the last 12 month
3388
16
1
2
1
YES
278
2
NO
3110
Sysmiss
16
How many [FISHING GEAR] were operated during the last 12 months?
278
3126
1
5760
For how many weeks in the last 12 months did you use/operate [FISHING GEAR]?
278
3126
1
52
How many [FISHING GEAR] are owned by your household?
278
3126
0
5760
If you or any household member engaged in fishing had to purchase a [FISHING GEA
278
3126
0
9000000
How many units of [FISHING GEAR] did you or any member of your household purchas
278
3126
0
5760
What were the toal costs of fuel,oil and maintenance per week for [FISHING GEAR]
88
3316
0
3750000
How much did your household pay to rent [GEAR] for use in the last 12 months?
278
3126
0
2250000
Case Section Roster / Line Occurrence Sequence for O/S Merge
3162
0
1
13
1
258
2
242
3
242
4
242
5
242
6
242
7
242
8
242
9
242
10
242
11
242
12
242
13
242
Unique Household Identification NPS Y3
3162
0
0043-002
13
0059-002
13
0137-001
13
0142-001
13
0155-001
1
0260-002
13
0407-008
13
0413-001
1
0419-001
13
0420-001
13
0423-003
13
0423-004
13
0455-001
13
0456-003
13
0542-005
13
0595-004
13
0596-001
13
0604-004
13
0604-010
13
0610-003
13
0611-003
13
0633-001
1
0657-002
13
0660-007
13
0669-001
13
0670-001
13
0671-004
13
0672-004
13
0673-001
13
0674-001
13
0675-001
13
0676-001
13
0681-001
13
0722-001
13
0727-002
13
0727-006
13
0758-001
13
0790-001
13
0806-002
13
0889-001
13
0890-001
13
1032-001
13
1093-002
13
1097-001
13
1106-001
13
1108-001
13
1114-001
13
1115-001
13
1116-001
13
1186-001
13
1188-005
13
1191-001
13
1288-001
13
1289-001
13
1291-001
13
1291-003
13
1294-001
13
1299-001
13
1308-001
13
1311-001
13
1343-001
13
1344-001
13
1346-001
13
1351-001
13
1354-001
13
1356-002
13
1356-004
13
1371-002
13
1478-001
13
1488-001
13
1489-001
13
1494-001
13
1495-001
13
1496-004
13
1520-001
13
1539-001
13
1544-001
13
1547-001
13
1548-001
13
1549-001
13
1550-001
13
1551-001
13
1554-002
13
1593-001
13
1654-006
13
1724-003
13
1733-001
13
1738-001
13
1741-001
13
1802-001
13
1837-001
13
1839-001
13
1840-001
13
1841-001
13
1842-001
13
1862-001
13
1863-004
13
1881-001
13
1881-002
13
1883-001
13
1924-001
13
2006-001
13
2028-001
13
2094-004
13
2096-001
13
2097-001
13
2133-002
13
2138-001
13
2232-001
13
2300-005
13
2406-004
13
2419-014
13
2484-001
13
2492-001
13
2522-001
13
2525-001
13
2528-001
13
2543-001
13
2560-001
13
2570-004
13
2571-001
13
2572-001
13
2579-001
13
2584-003
13
2595-004
13
2602-001
13
2657-102
13
2663-001
13
2666-001
13
2667-001
13
2669-002
13
2671-001
13
2674-001
13
2676-001
13
2677-004
13
2679-003
13
2680-001
13
2725-002
13
2729-001
13
2746-001
13
2791-007
13
2793-004
1
2801-001
1
2811-001
13
2843-001
13
2870-001
13
2890-001
13
2891-001
13
2909-001
13
2912-001
13
2915-001
13
2916-001
1
2935-001
13
2937-001
13
2948-001
13
2950-001
13
2965-002
13
2967-001
13
2975-001
13
2982-003
13
2984-002
13
3006-001
13
3021-001
13
3022-001
13
3029-002
13
3040-002
13
3044-003
13
3048-001
13
3058-104
13
3091-011
13
3092-001
13
3094-002
13
3116-001
13
3116-019
13
3119-001
13
3123-001
13
3125-003
13
3144-002
13
3146-001
13
3149-001
13
3150-001
13
3152-001
13
3153-001
13
3155-003
13
3157-001
13
3159-009
13
3164-001
13
3177-001
13
3178-105
13
3187-004
13
3192-001
13
3192-003
13
3199-001
13
3200-003
13
3216-001
13
3216-003
13
3217-001
13
3217-007
13
3250-001
13
3251-001
13
3277-102
13
3351-001
13
3353-001
13
3384-001
13
3388-001
13
3390-001
13
3390-003
13
3391-001
13
3392-001
1
3394-001
1
3395-001
1
3400-008
13
3402-001
13
3407-001
13
3412-001
13
3424-010
13
3426-001
13
3428-004
13
3462-001
13
3467-001
13
3468-001
13
3469-001
13
3470-001
13
3471-001
13
3472-001
13
3474-001
13
3476-001
13
3482-001
13
3487-001
13
3490-001
13
3490-004
13
3494-001
13
3497-001
13
3557-001
13
3563-001
13
3577-001
13
3592-001
13
3595-001
1
3603-002
13
3605-001
13
3666-001
13
3685-010
13
3740-001
1
3743-001
13
3744-001
1
3745-001
13
3746-001
13
3747-001
1
3749-001
13
3818-003
1
3819-001
1
3821-001
1
3823-001
13
3832-001
13
3832-002
13
3846-001
13
3850-001
13
3916-001
13
Input ID
3146
16
1
13
1
TAXES
242
2
LICENSES
242
3
AUCTION FEES
242
4
OTHER FEES (IE MARKET, ETC)
242
5
WICKS
242
6
RENT FOR STORAGE
242
7
TRANSPORTATION
242
8
BUOYS
242
9
THREAD FOR NET SEWING
242
10
BEESWAX / SEALANT (KARAFAT)
242
11
LUBRICANT/OIL (MAFUTA)
242
12
CHICKEN WIRE (CHA CHA)
242
13
OTHER, (SPECIFY)
242
Sysmiss
16
Input Name
3146
0
Ada (kama ya Soko)
242
Ada za mnada (Ushuru)
242
Kodi
242
Kodi ya kuhifadhi vifaa
242
Leseni
242
Maboya
242
Mafuta (Lubricant/Oil)
242
Nta (Beeswax / Sealant (
242
Nyingine (taja)
242
Nyuzi za kusukia nyavuVU
242
Tambi za Karabai
242
Usafiri
242
Waya (Chicken wire)
242
Did you purchase any of the following items during the last 12 months?
3146
16
1
2
1
YES
258
2
NO
2888
Sysmiss
16
What were the total costs during the last 12 months? (TSH)
258
2904
100
5050000
What were the total costs during the last 12 months? (Unit)
258
2904
1
4
1
DAY
40
2
WEEK
16
3
SEASON
37
4
YEAR
165
Sysmiss
2904
Case Section Roster / Line Occurrence Sequence for O/S Merge
458
0
1
5
1
258
2
87
3
60
4
35
5
18
Unique Household Identification NPS Y3
458
0
0043-002
1
0059-002
1
0137-001
1
0142-001
1
0155-001
1
0260-002
1
0407-008
4
0413-001
1
0419-001
5
0420-001
2
0423-003
4
0423-004
1
0455-001
1
0456-003
1
0542-005
1
0595-004
1
0596-001
5
0604-004
1
0604-010
2
0610-003
3
0611-003
3
0633-001
1
0657-002
2
0660-007
1
0669-001
1
0670-001
1
0671-004
5
0672-004
1
0673-001
5
0674-001
1
0675-001
5
0676-001
1
0681-001
1
0722-001
1
0727-002
1
0727-006
1
0758-001
1
0790-001
1
0806-002
1
0889-001
1
0890-001
5
1032-001
1
1093-002
1
1097-001
1
1106-001
1
1108-001
1
1114-001
2
1115-001
1
1116-001
1
1186-001
1
1188-005
1
1191-001
1
1288-001
1
1289-001
1
1291-001
5
1291-003
3
1294-001
3
1299-001
1
1308-001
1
1311-001
1
1343-001
4
1344-001
4
1346-001
2
1351-001
1
1354-001
1
1356-002
1
1356-004
3
1371-002
4
1478-001
1
1488-001
4
1489-001
4
1494-001
3
1495-001
5
1496-004
3
1520-001
1
1539-001
3
1544-001
1
1547-001
5
1548-001
1
1549-001
3
1550-001
5
1551-001
5
1554-002
5
1593-001
1
1654-006
1
1724-003
2
1733-001
3
1738-001
4
1741-001
4
1802-001
2
1837-001
1
1839-001
1
1840-001
3
1841-001
1
1842-001
3
1862-001
4
1863-004
1
1881-001
1
1881-002
4
1883-001
4
1924-001
1
2006-001
1
2028-001
1
2094-004
1
2096-001
1
2097-001
3
2133-002
1
2138-001
5
2232-001
1
2300-005
1
2406-004
1
2419-014
1
2484-001
1
2492-001
3
2522-001
1
2525-001
4
2528-001
1
2543-001
1
2560-001
1
2570-004
1
2571-001
5
2572-001
1
2579-001
1
2584-003
1
2595-004
1
2602-001
1
2657-102
2
2663-001
1
2666-001
1
2667-001
1
2669-002
1
2671-001
2
2674-001
2
2676-001
1
2677-004
1
2679-003
1
2680-001
5
2725-002
1
2729-001
1
2746-001
1
2791-007
1
2793-004
1
2801-001
1
2811-001
1
2843-001
1
2870-001
1
2890-001
1
2891-001
1
2909-001
1
2912-001
1
2915-001
1
2916-001
1
2935-001
1
2937-001
1
2948-001
1
2950-001
1
2965-002
1
2967-001
1
2975-001
1
2982-003
1
2984-002
1
3006-001
1
3021-001
1
3022-001
1
3029-002
1
3040-002
1
3044-003
1
3048-001
1
3058-104
1
3091-011
1
3092-001
1
3094-002
2
3116-001
1
3116-019
1
3119-001
5
3123-001
1
3125-003
1
3144-002
1
3146-001
5
3149-001
1
3150-001
1
3152-001
2
3153-001
1
3155-003
1
3157-001
1
3159-009
1
3164-001
2
3177-001
1
3178-105
1
3187-004
1
3192-001
1
3192-003
4
3199-001
1
3200-003
1
3216-001
1
3216-003
1
3217-001
1
3217-007
1
3250-001
2
3251-001
4
3277-102
1
3351-001
1
3353-001
1
3384-001
3
3388-001
3
3390-001
2
3390-003
2
3391-001
3
3392-001
1
3394-001
1
3395-001
1
3400-008
2
3402-001
1
3407-001
3
3412-001
1
3424-010
2
3426-001
2
3428-004
3
3462-001
1
3467-001
3
3468-001
1
3469-001
2
3470-001
2
3471-001
4
3472-001
3
3474-001
2
3476-001
1
3482-001
1
3487-001
1
3490-001
1
3490-004
3
3494-001
1
3497-001
1
3557-001
5
3563-001
3
3577-001
1
3592-001
2
3595-001
1
3603-002
1
3605-001
3
3666-001
1
3685-010
1
3740-001
1
3743-001
3
3744-001
1
3745-001
4
3746-001
1
3747-001
1
3749-001
2
3818-003
1
3819-001
1
3821-001
1
3823-001
2
3832-001
1
3832-002
1
3846-001
1
3850-001
2
3916-001
2
Fish Caught ID
317
141
1
5
1
117
2
87
3
60
4
35
5
18
Sysmiss
141
Please list up to five main species of fish that you or any member of your house
309
0
BEMBE
1
CHAA
8
CHAFI
1
CHANGU
42
CHEWA
3
DAGAA
15
GEGE
1
HANGO
1
HONGWE
6
IDULE
1
JODARI
7
KAA
2
KALAMAMBA
1
KALMAMBA
1
KAMBA
4
KAMBALE
13
KAMBARE
1
KAMONGO
6
KANADI(NGU
1
KANDA
1
KELELA
2
KIBALE
1
KIBUA
2
KIPAPA
1
KITOGA
3
KOANA
3
KOAWA
1
KOLEKOLE
17
KOLOKOLO
1
KOYOKOYO
1
KUHE
1
KUMBWA
1
KUNGULA
1
KUNGURA
1
KUWE
1
LUKUMBU
1
MAGAMU
1
MAGEGE
2
MAKELELA
1
MANDA
1
MAWAMBALA
1
MBASI
1
MBONO
2
MICHENA
1
MIGEBUKA
2
MIKEKE
1
MIKIZI
1
MIKUBU
1
MKIZI
3
MKONDAJI
1
MKUNDAJI
5
MLEA
1
MSUSA
2
MUMI
1
NDADI
1
NDUMI
1
NGALAWALA
2
NGERE
1
NGIRI
1
NGISI
1
NGOGO
1
NGURU
4
NJELEWE
1
NOLO
2
NORO
1
NUMBA
1
NYIKA
1
PAPA
1
PELEGE
1
PEREGE
8
PONO
11
PWEZA
16
SALADINI
1
SANGARA
13
SATO
10
SEHEWA
2
SHAIRI
1
SONGA
1
SONGOLO
1
TAA
3
TAMBACHE
1
TASI
25
TEMBO
1
TUKU
1
TUNGU
1
VIBUA
7
VITOGA
2
VITUI
2
Please list up to five main species of fish that you or any member of your house
309
149
1
33
1
CHAFI
2
2
CHANGU
40
3
CHEWA
5
4
DAGAA
15
5
DAMU DAMU
0
6
KAMBA
4
7
KAMBALE
14
8
KOLEKOLE
17
9
LUPAPA
0
10
LUPUMBA
1
11
MIGEBUKA
2
12
MKIZI
4
13
MKUNDAJI
6
14
MUMI
1
15
NGURU
5
16
JODARI
7
17
KITOGA
5
18
KAMONGO
5
19
PAPA
2
20
PEREGE
10
21
PONO
11
22
PWEZA
16
23
SANGARA
13
24
SATO
10
25
SEHEWA
2
26
TASI
25
27
VIBUA
10
28
KANDA/ GADAYO
1
29
HONGWE
7
30
KALMAMBA
2
31
CHAA
6
32
KAKA
2
33
OTHER (SPECIFY)
59
Sysmiss
149
Where do you mainly fish for [FISH/SPECIES]? (Location)
309
0
7
1
8
3
BAHALINI
1
BAHARI
130
BAHARINI
75
BWAWA
6
BWAWANI
4
DIMBWI LA KUTENGE
1
HINDI
8
MALAGARASI
5
MARAGARASI
1
MTO
5
MTONI
2
ZIWA
1
ZIWA NYASA
14
ZIWA RUKWA
6
ZIWA TANGANYIKA
13
ZIWA VICTORIA
31
ZIWANI
1
ZIWANYASA
1
Where do you mainly fish for [FISH/SPECIES]? (Code)
309
149
1
10
1
OCEAN
215
2
LAKE VICTORIA
30
3
LAKE NYASA
17
4
LAKE TANGANYIKA
13
5
LAKE RUKWA
6
6
SMALLER LAKE
0
7
RESEVOIR/ DAM
11
8
POND (NATURAL)
3
9
POND (ARTIFICIAL)
1
10
RIVER
13
11
STREAM
0
12
OTHER (SPECIFY)
0
Sysmiss
149
What method of sihing did you use to catch [FISH SPECIES] in the last 12 months?
309
149
1
6
1
HOOK FISHING
107
2
TRAWLING NET FISHING
5
3
STATIONARY NET FISHING
151
4
UZIO FISHING
0
5
OVERNIGHT FISHING TRAP
7
6
OTHER (SPECIFY)
39
Sysmiss
149
How much [FISH SPECIES] did you, other members of your household and/or any hire
309
149
1
29760
How much [FISH SPECIES] did you, other members of your household and/or any hire
309
149
1
9
1
KIPANDE
28
2
DOZEN/BUNDLE
18
3
KILOGRAM
191
4
5 KG BAG
4
5
10 KG BAG
11
6
25 KG BAG
15
7
SMALL BASKET
7
8
LARGE BASKET
2
9
OTHER (SPECIFY)
33
Sysmiss
149
How much [FISH SPECIES] did you and/or other members of your household preserve
300
158
0
1170000
How much [FISH SPECIES] did you and/or other members of your household preserve
76
382
1
9
1
PIECE
5
2
DOZEN
5
3
KILOGRAM
51
4
5 KG BAG
1
5
10 KG BAG
1
6
25 KG BAG
2
7
SMALL BASKET
6
8
LARGE BASKET
0
9
OTHER (SPECIFY)
5
Sysmiss
382
How much [FISH SPECIES] did you and/or other members of your household preserve
76
382
1
5
1
FRESH
64
2
SUN-DRIED
3
3
SMOKED
3
4
ICED
0
5
OTHER (SPECIFY)
6
Sysmiss
382
How much [FISH SPECIES] did you and/or other members of your household preserve
1
457
0
0
0
1
Sysmiss
457
How much [FISH SPECIES] did you and/or other members of your household preserve
0
458
1
PIECE
0
2
DOZEN/BUNDLE
0
3
KILOGRAM
0
4
5 KG BAG
0
5
10 KG BAG
0
6
25 KG BAG
0
7
SMALL BASKET
0
8
LARGE BASKET
0
9
OTHER (SPECIFY)
0
Sysmiss
458
How much [FISH SPECIES] did you and/or other members of your household preserve
0
458
1
FRESH
0
2
SUN-DRIED
0
3
SMOKED
0
4
ICED
0
5
OTHER (SPECIFY)
0
Sysmiss
458
How many weeks have you or any member your household landed [FISH SPECIES] durin
308
150
1
52
How much [FISH SPECIES] did you, other members of your household and/or any hire
309
149
0
1240
How much [FISH SPECIES] did you, other members of your household and/or any hire
305
153
1
9
1
PIECE
29
2
DOZEN/BUNDLE
15
3
KILOGRAM
205
4
5 KG BAG
3
5
10 KG BAG
7
6
25 KG BAG
4
7
SMALL BASKET
7
8
LARGE BASKET
3
9
OTHER (SPECIFY)
32
Sysmiss
153
How many weeks have you or any member your household processed (smoked, dried, f
309
149
0
48
How much [FISH SPECIES] did you and/or other members of your household preserve
299
159
0
11700
How much [FISH SPECIES] did you and/or other members of your household preserve
230
228
0
9
0
158
1
PIECE
1
2
DOZEN/BUNDLE
6
3
KILOGRAM
52
4
5 KG BAG
1
5
10 KG BAG
1
6
25 KG BAG
1
7
SMALL BASKET
6
8
LARGE BASKET
0
9
OTHER (SPECIFY)
4
Sysmiss
228
How much [FISH SPECIES] did you and/or other members of your household preserve
212
246
0
5
0
140
1
FRESH
58
2
SUN-DRIED
3
3
SMOKED
5
4
ICED
0
5
OTHER (SPECIFY)
6
Sysmiss
246
How much [FISH SPECIES] did you and/or other members of your household preserve
33
425
0
0
0
33
Sysmiss
425
How much [FISH SPECIES] did you and/or other members of your household preserve
20
438
0
0
0
20
1
PIECE
0
2
DOZEN/BUNDLE
0
3
KILOGRAM
0
4
5 KG BAG
0
5
10 KG BAG
0
6
25 KG BAG
0
7
SMALL BASKET
0
8
LARGE BASKET
0
9
OTHER (SPECIFY)
0
Sysmiss
438
How much [FISH SPECIES] did you and/or other members of your household preserve
20
438
0
0
0
20
1
FRESH
0
2
SUN-DRIED
0
3
SMOKED
0
4
ICED
0
5
OTHER (SPECIFY)
0
Sysmiss
438
For how many weeks did you sell [FISH SPECIES] during the last 12 months?
307
151
0
52
How much [FISH SPECIES] did you and/or other members of your household sell on a
309
149
0
4400
How much [FISH SPECIES] did you and/or other members of your household sell on a
308
150
0
9
0
3
1
PIECE
23
2
DOZEN/BUNDLE
16
3
KILOGRAM
224
4
5 KG BAG
2
5
10 KG BAG
5
6
25 KG BAG
1
7
SMALL BASKET
7
8
LARGE BASKET
2
9
OTHER (SPECIFY)
25
Sysmiss
150
How much [FISH SPECIES] did you and/or other members of your household sell on a
307
151
0
5
0
2
1
FRESH
294
2
SUN-DRIED
3
3
SMOKED
2
4
ICED
0
5
OTHER (SPECIFY)
6
Sysmiss
151
How much [FISH SPECIES] did you and/or other members of your household sell on a
306
152
0
5500000
How much [FISH SPECIES] did you and/or other members of your household sell on a
15
443
0
28
How much [FISH SPECIES] did you and/or other members of your household sell on a
7
451
0
3
0
5
1
PIECE
0
2
DOZEN/BUNDLE
0
3
KILOGRAM
2
4
5 KG BAG
0
5
10 KG BAG
0
6
25 KG BAG
0
7
SMALL BASKET
0
8
LARGE BASKET
0
9
OTHER (SPECIFY)
0
Sysmiss
451
How much [FISH SPECIES] did you and/or other members of your household sell on a
7
451
0
3
0
5
1
FRESH
0
2
SUN-DRIED
0
3
SMOKED
2
4
ICED
0
5
OTHER (SPECIFY)
0
Sysmiss
451
How much [FISH SPECIES] did you and/or other members of your household sell on a
7
451
0
28000
How much [FISH SPECIES] caught by you and/or members of your household during th
307
151
0
500
How much [FISH SPECIES] caught by you and/or members of your household during th
296
162
0
9
0
41
1
PIECE
28
2
DOZEN/BUNDLE
18
3
KILOGRAM
182
4
5 KG BAG
5
5
10 KG BAG
0
6
25 KG BAG
0
7
SMALL BASKET
3
8
LARGE BASKET
0
9
OTHER (SPECIFY)
19
Sysmiss
162
How much [FISH SPECIES] caught by you and/or members of your household during th
293
165
0
5
0
40
1
FRESH
215
2
SUN-DRIED
3
3
SMOKED
6
4
ICED
0
5
OTHER (SPECIFY)
29
Sysmiss
165
How much [FISH SPECIES] caught by you and/or members of your household during th
20
438
0
20
0
11
3
2
6
1
7
1
8
1
9
1
15
2
20
1
Sysmiss
438
How much [FISH SPECIES] caught by you and/or members of your household during th
15
443
0
3
0
6
1
PIECE
5
2
DOZEN/BUNDLE
1
3
KILOGRAM
3
4
5 KG BAG
0
5
10 KG BAG
0
6
25 KG BAG
0
7
SMALL BASKET
0
8
LARGE BASKET
0
9
OTHER (SPECIFY)
0
Sysmiss
443
How much [FISH SPECIES] caught by you and/or members of your household during th
15
443
0
5
0
6
1
FRESH
0
2
SUN-DRIED
3
3
SMOKED
2
4
ICED
0
5
OTHER (SPECIFY)
4
Sysmiss
443
Overall, during the last 12 months, what share of the total [FISH SPECIES] catch
307
151
0
5
0
1
1
ALMOST NONE
205
2
1/4
70
3
1/2
16
4
3/4
7
5
ALMOST ALL
8
Sysmiss
151
Have you, or anyone in your household, caught any fish in the last 12 months, ei
442
16
1
2
1
317
2
125
Sysmiss
16
Case Section Roster / Line Occurrence Sequence for O/S Merge
387
0
1
5
1
258
2
57
3
40
4
19
5
13
Unique Household Identification NPS Y3
387
0
0043-002
4
0059-002
2
0137-001
1
0142-001
1
0155-001
1
0260-002
1
0407-008
1
0413-001
1
0419-001
1
0420-001
1
0423-003
1
0423-004
5
0455-001
1
0456-003
1
0542-005
5
0595-004
1
0596-001
1
0604-004
4
0604-010
1
0610-003
1
0611-003
1
0633-001
2
0657-002
1
0660-007
5
0669-001
1
0670-001
1
0671-004
1
0672-004
5
0673-001
1
0674-001
1
0675-001
1
0676-001
1
0681-001
3
0722-001
1
0727-002
4
0727-006
5
0758-001
3
0790-001
1
0806-002
1
0889-001
4
0890-001
3
1032-001
4
1093-002
1
1097-001
2
1106-001
1
1108-001
3
1114-001
1
1115-001
1
1116-001
2
1186-001
3
1188-005
1
1191-001
5
1288-001
1
1289-001
4
1291-001
1
1291-003
1
1294-001
1
1299-001
3
1308-001
1
1311-001
2
1343-001
1
1344-001
1
1346-001
1
1351-001
5
1354-001
3
1356-002
5
1356-004
1
1371-002
1
1478-001
1
1488-001
1
1489-001
1
1494-001
1
1495-001
1
1496-004
1
1520-001
1
1539-001
1
1544-001
1
1547-001
1
1548-001
3
1549-001
1
1550-001
1
1551-001
1
1554-002
1
1593-001
3
1654-006
3
1724-003
1
1733-001
1
1738-001
2
1741-001
1
1802-001
1
1837-001
1
1839-001
1
1840-001
1
1841-001
3
1842-001
1
1862-001
1
1863-004
1
1881-001
5
1881-002
1
1883-001
1
1924-001
1
2006-001
1
2028-001
2
2094-004
2
2096-001
1
2097-001
1
2133-002
5
2138-001
1
2232-001
1
2300-005
5
2406-004
1
2419-014
1
2484-001
3
2492-001
1
2522-001
2
2525-001
1
2528-001
5
2543-001
1
2560-001
2
2570-004
1
2571-001
1
2572-001
1
2579-001
1
2584-003
1
2595-004
1
2602-001
1
2657-102
1
2663-001
1
2666-001
1
2667-001
1
2669-002
1
2671-001
1
2674-001
1
2676-001
1
2677-004
1
2679-003
1
2680-001
3
2725-002
1
2729-001
1
2746-001
1
2791-007
1
2793-004
1
2801-001
1
2811-001
1
2843-001
1
2870-001
1
2890-001
3
2891-001
1
2909-001
1
2912-001
1
2915-001
1
2916-001
1
2935-001
1
2937-001
1
2948-001
1
2950-001
1
2965-002
1
2967-001
1
2975-001
1
2982-003
1
2984-002
1
3006-001
1
3021-001
1
3022-001
1
3029-002
1
3040-002
2
3044-003
1
3048-001
1
3058-104
2
3091-011
1
3092-001
1
3094-002
1
3116-001
2
3116-019
1
3119-001
1
3123-001
1
3125-003
1
3144-002
2
3146-001
1
3149-001
3
3150-001
1
3152-001
1
3153-001
1
3155-003
1
3157-001
1
3159-009
1
3164-001
1
3177-001
1
3178-105
1
3187-004
1
3192-001
1
3192-003
1
3199-001
1
3200-003
1
3216-001
1
3216-003
1
3217-001
2
3217-007
1
3250-001
1
3251-001
1
3277-102
2
3351-001
1
3353-001
1
3384-001
1
3388-001
1
3390-001
1
3390-003
1
3391-001
1
3392-001
1
3394-001
1
3395-001
1
3400-008
1
3402-001
1
3407-001
1
3412-001
3
3424-010
1
3426-001
1
3428-004
1
3462-001
1
3467-001
1
3468-001
1
3469-001
1
3470-001
1
3471-001
1
3472-001
1
3474-001
1
3476-001
1
3482-001
3
3487-001
3
3490-001
1
3490-004
1
3494-001
1
3497-001
3
3557-001
1
3563-001
1
3577-001
2
3592-001
1
3595-001
1
3603-002
3
3605-001
1
3666-001
1
3685-010
1
3740-001
1
3743-001
1
3744-001
1
3745-001
1
3746-001
1
3747-001
1
3749-001
1
3818-003
1
3819-001
1
3821-001
1
3823-001
1
3832-001
5
3832-002
3
3846-001
1
3850-001
1
3916-001
1
Fish Traded ID
262
125
0
5
0
3
1
134
2
56
3
39
4
18
5
12
Sysmiss
125
Please list up to five main species of fish that you or any member of your house
243
0
CHAA
2
CHANGU
25
CHEWA
2
CHUCHUNGE
2
DAGAA
65
DAGAA MCHE
1
DAMUDAMU
1
FULU
1
GEGE
3
HONGWE
1
JODARI
1
KAMBA
1
KAMBALE
9
KAMBARE
1
KAMONGO
3
KARAMBI
1
KIBONDE
1
KIBUA
2
KING FISH
1
KITOGA
1
KOANA
1
KOLEKOLE
4
KOLOKOLO
1
KUHE
1
KUNGULA
1
MAKANGAJA
1
MAKELELA
1
MAPONO
1
MASEMBE
1
MBALAGA
1
MBONO
1
MIGEBUKA
5
MIKULE
1
MISUSA
1
MKIZI
1
MKONDAJI
1
MKUNGA
1
MSUSA
1
MZIHA
1
MZILA
1
NGELWA
1
NGISI
1
PAPA
1
PEREGE
8
PONO
6
POPOZA
1
PRONZI
1
PWEZA
4
RED SNEPER
1
SALADINI
1
SALEHE
1
SAMSULI
1
SANGALA
1
SANGARA
15
SATO
11
SEHEWA
2
SINGA
1
TAA
1
TASI
12
TEMBO UZI
1
UPANGA WAS
1
VIBUA
18
VITOGA
1
VITUHI
1
Please list up to five main species of fish that you or any member of your house
243
144
2
33
1
CHAFI
0
2
CHANGU
27
3
CHEWA
3
4
DAGAA
61
5
DAMU DAMU
1
6
KAMBA
1
7
KAMBALE
11
8
KOLEKOLE
5
9
LUPAPA
0
10
LUPUMBA
0
11
MIGEBUKA
5
12
MKIZI
1
13
MKUNDAJI
1
14
MUMI
0
15
NGURU
0
16
JODARI
2
17
KITOGA
2
18
KAMONGO
3
19
PAPA
1
20
PEREGE
8
21
PONO
6
22
PWEZA
4
23
SANGARA
16
24
SATO
11
25
SEHEWA
2
26
TASI
11
27
VIBUA
19
28
KANDA/ GADAYO
0
29
HONGWE
1
30
KALMAMBA
0
31
CHAA
2
32
KAKA
0
33
OTHER (SPECIFY)
39
Sysmiss
144
During the last 12 months, how much [FISH SPECIES] did you or any member of your
243
144
0
2400
During the last 12 months, how much [FISH SPECIES] did you or any member of your
243
144
0
9
0
1
1
PIECE
11
2
DOZEN/BUNDLE
33
3
KILOGRAM
124
4
5 KG BAG
4
5
10 KG BAG
8
6
25 KG BAG
7
7
SMALL BASKET
13
8
LARGE BASKET
9
9
OTHER(SPECIFY)
33
Sysmiss
144
During the last 12 months, how much [FISH SPECIES] did you or any member of your
243
144
0
5
0
1
1
FRESH
140
2
SUN-DRIED
68
3
SMOKED
10
4
ICED
3
5
OTHER (SPECIFY)
21
Sysmiss
144
During the last 12 months, how much [FISH SPECIES] did you or any member of your
242
145
0
3000000
During the last 12 months, how much [FISH SPECIES] did you or any member of your
13
374
0
100
During the last 12 months, how much [FISH SPECIES] did you or any member of your
6
381
0
3
0
1
1
PIECE
2
2
DOZEN/BUNDLE
2
3
KILOGRAM
1
4
5 KG BAG
0
5
10 KG BAG
0
6
25 KG BAG
0
7
SMALL BASKET
0
8
LARGE BASKET
0
9
OTHER(SPECIFY)
0
Sysmiss
381
During the last 12 months, how much [FISH SPECIES] did you or any member of your
6
381
0
2
0
1
1
FRESH
1
2
SUN-DRIED
4
3
SMOKED
0
4
ICED
0
5
OTHER (SPECIFY)
0
Sysmiss
381
During the last 12 months, how much [FISH SPECIES] did you or any member of your
10
377
0
340000
During the last 12 months, how much [FISH SPECIES] did you or any member of sell
243
144
0
2000
During the last 12 months, how much [FISH SPECIES] did you or any member of sell
243
144
0
9
0
1
1
PIECE
14
2
DOZEN/BUNDLE
36
3
KILOGRAM
123
4
5 KG BAG
4
5
10 KG BAG
11
6
25 KG BAG
4
7
SMALL BASKET
12
8
LARGE BASKET
8
9
OTHER(SPECIFY)
30
Sysmiss
144
During the last 12 months, how much [FISH SPECIES] did you or any member of sell
242
145
0
5
0
1
1
FRESH
78
2
SUN-DRIED
73
3
SMOKED
17
4
ICED
7
5
OTHER (SPECIFY)
66
Sysmiss
145
During the last 12 months, how much [FISH SPECIES] did you or any member of sell
242
145
0
3000000
During the last 12 months, how much [FISH SPECIES] did you or any member of sell
11
376
0
100
During the last 12 months, how much [FISH SPECIES] did you or any member of sell
5
382
0
3
0
3
1
PIECE
0
2
DOZEN/BUNDLE
1
3
KILOGRAM
1
4
5 KG BAG
0
5
10 KG BAG
0
6
25 KG BAG
0
7
SMALL BASKET
0
8
LARGE BASKET
0
9
OTHER(SPECIFY)
0
Sysmiss
382
During the last 12 months, how much [FISH SPECIES] did you or any member of sell
5
382
0
3
0
3
1
FRESH
1
2
SUN-DRIED
0
3
SMOKED
1
4
ICED
0
5
OTHER (SPECIFY)
0
Sysmiss
382
During the last 12 months, how much [FISH SPECIES] did you or any member of sell
9
378
0
420000
Case Section Roster / Line Occurrence Sequence for O/S Merge
928
0
1
6
1
258
2
134
3
134
4
134
5
134
6
134
Unique Household Identification NPS Y3
928
0
0043-002
6
0059-002
6
0137-001
1
0142-001
6
0155-001
1
0260-002
1
0407-008
1
0413-001
1
0419-001
1
0420-001
1
0423-003
1
0423-004
6
0455-001
6
0456-003
1
0542-005
6
0595-004
6
0596-001
1
0604-004
6
0604-010
1
0610-003
1
0611-003
1
0633-001
6
0657-002
1
0660-007
6
0669-001
1
0670-001
6
0671-004
1
0672-004
6
0673-001
1
0674-001
1
0675-001
1
0676-001
1
0681-001
6
0722-001
6
0727-002
6
0727-006
6
0758-001
6
0790-001
6
0806-002
6
0889-001
6
0890-001
6
1032-001
6
1093-002
6
1097-001
6
1106-001
6
1108-001
6
1114-001
1
1115-001
6
1116-001
6
1186-001
6
1188-005
6
1191-001
6
1288-001
6
1289-001
6
1291-001
1
1291-003
1
1294-001
1
1299-001
6
1308-001
6
1311-001
6
1343-001
1
1344-001
1
1346-001
1
1351-001
6
1354-001
6
1356-002
6
1356-004
1
1371-002
1
1478-001
1
1488-001
1
1489-001
1
1494-001
1
1495-001
1
1496-004
1
1520-001
6
1539-001
1
1544-001
1
1547-001
1
1548-001
6
1549-001
1
1550-001
1
1551-001
1
1554-002
1
1593-001
6
1654-006
6
1724-003
1
1733-001
1
1738-001
6
1741-001
1
1802-001
1
1837-001
6
1839-001
6
1840-001
1
1841-001
6
1842-001
1
1862-001
1
1863-004
1
1881-001
6
1881-002
1
1883-001
1
1924-001
6
2006-001
1
2028-001
6
2094-004
6
2096-001
6
2097-001
6
2133-002
6
2138-001
1
2232-001
6
2300-005
6
2406-004
6
2419-014
6
2484-001
6
2492-001
1
2522-001
6
2525-001
1
2528-001
6
2543-001
6
2560-001
6
2570-004
6
2571-001
1
2572-001
6
2579-001
6
2584-003
6
2595-004
6
2602-001
6
2657-102
1
2663-001
6
2666-001
6
2667-001
6
2669-002
6
2671-001
1
2674-001
6
2676-001
6
2677-004
6
2679-003
6
2680-001
6
2725-002
6
2729-001
6
2746-001
6
2791-007
6
2793-004
1
2801-001
1
2811-001
6
2843-001
6
2870-001
6
2890-001
6
2891-001
6
2909-001
6
2912-001
6
2915-001
1
2916-001
1
2935-001
6
2937-001
1
2948-001
1
2950-001
6
2965-002
6
2967-001
6
2975-001
6
2982-003
6
2984-002
6
3006-001
6
3021-001
1
3022-001
6
3029-002
6
3040-002
6
3044-003
1
3048-001
1
3058-104
6
3091-011
6
3092-001
6
3094-002
1
3116-001
6
3116-019
1
3119-001
1
3123-001
6
3125-003
6
3144-002
6
3146-001
1
3149-001
6
3150-001
6
3152-001
1
3153-001
1
3155-003
6
3157-001
6
3159-009
6
3164-001
6
3177-001
6
3178-105
6
3187-004
6
3192-001
1
3192-003
1
3199-001
1
3200-003
6
3216-001
6
3216-003
6
3217-001
6
3217-007
6
3250-001
1
3251-001
1
3277-102
6
3351-001
6
3353-001
6
3384-001
1
3388-001
1
3390-001
1
3390-003
1
3391-001
1
3392-001
1
3394-001
1
3395-001
1
3400-008
1
3402-001
6
3407-001
1
3412-001
6
3424-010
1
3426-001
1
3428-004
1
3462-001
1
3467-001
1
3468-001
1
3469-001
1
3470-001
1
3471-001
1
3472-001
1
3474-001
1
3476-001
1
3482-001
6
3487-001
6
3490-001
1
3490-004
1
3494-001
1
3497-001
6
3557-001
1
3563-001
1
3577-001
6
3592-001
1
3595-001
1
3603-002
6
3605-001
1
3666-001
1
3685-010
6
3740-001
1
3743-001
1
3744-001
1
3745-001
1
3746-001
1
3747-001
1
3749-001
1
3818-003
1
3819-001
1
3821-001
1
3823-001
1
3832-001
6
3832-002
6
3846-001
1
3850-001
1
3916-001
1
Cost ID
804
124
1
6
1
HIRED LABOUR
134
2
TRANSPORT
134
3
PACKAGING
134
4
ICE
134
5
TAX
134
6
OTHER (SPECIFY)
134
Sysmiss
124
COST ITEM
804
0
Barafu
134
Kodi
134
Nyingine, (t
134
Ufungashaji
134
Usafiri
134
Vibarua
134
Did your household have any costs for [COST ITEM] in relation to your fish tradi
804
124
1
2
1
YES
159
2
NO
645
Sysmiss
124
How much did your household have to pay for [COST ITEM] on a weekly basis during
159
769
0
480000
Case Section Roster / Line Occurrence Sequence for O/S Merge
2298
0
1
1
1
2298
Unique Household Identification NPS Y3
2298
0
Region Code
2288
10
1
55
1
DODOMA
63
2
ARUSHA
84
3
KILIMANJARO
104
4
TANGA
120
5
MOROGORO
63
6
PWANI
59
7
DAR ES SALAAM
144
8
LINDI
117
9
MTWARA
155
10
RUVUMA
101
11
IRINGA
86
12
MBEYA
117
13
SINGIDA
45
14
TABORA
140
15
RUKWA
67
16
KIGOMA
85
17
SHINYANGA
192
18
KAGERA
139
19
MWANZA
161
20
MARA
59
21
MANYARA
71
51
KASKAZINI UNGUJA
28
52
KUSINI UNGUJA
24
53
MJINI/MAGHARIBI UNGUJA
20
54
KASKAZINI PEMBA
19
55
KUSINI PEMBA
25
Sysmiss
10
Region Name
2288
0
ARUSHA
84
DAR ES SALAAM
144
DODOMA
63
IRINGA
86
KAGERA
139
KASKAZINI PEMBA
19
KASKAZINI UNGUJA
28
KIGOMA
85
KILIMANJARO
104
KUSINI PEMBA
25
KUSINI UNGUJA
24
LINDI
117
MANYARA
71
MARA
59
MBEYA
117
MJINI MAGHARIBI
20
MOROGORO
63
MTWARA
155
MWANZA
161
PWANI
59
RUKWA
67
RUVUMA
101
SHINYANGA
192
SINGIDA
45
TABORA
140
TANGA
120
District Code
2288
10
1
8
1
503
2
492
3
404
4
337
5
255
6
173
7
66
8
58
Sysmiss
10
District Name
2288
0
ARUMERU
24
ARUSHA
10
ARUSHA MJINI
2
BABATI
17
BAGAMOYO
13
BAHI
1
BAHI/DODOMA VIJIJINI
1
BARIADI
17
BIHARAMULO
15
BUKOBA RURAL
21
BUKOBA URBAN
10
BUKOMBE
16
BUNDA
15
CHAKECHAKE
15
CHATO
8
CHUNYA
23
DODOMA RURAL
23
DODOMA URBAN
4
GEITA
31
HAI
23
HANANG
12
HANDENI
21
IGUNGA
44
IKUNGI(SINGIDA VIJIJINI)
1
ILALA
23
ILEJE
12
ILEMELA
21
IRAMBA
17
IRINGA RURAL
10
IRINGA URBAN
13
KAHAMA
45
KARAGWE
22
KARATU
11
KASKAZINI A
11
KASKAZINI B
17
KASULU
39
KATI
9
KIBAHA
8
KIBONDO
21
KIGOMA RURAL
21
KIGOMA URBAN
4
KILINDI
13
KILOLO
4
KILOMBERO
5
KILOSA
13
KILWA
43
KILWA MASOKO
1
KINONDONI
55
KISARAWE
6
KISHAPU
29
KITETO
9
KONDOA
4
KONGWA
13
KOROGWE
21
KUSINI
13
KWIMBA
28
KYELA
13
LINDI RURAL
22
LINDI URBAN
15
LIWALE
20
LUDEKIA
1
LUDEWA
16
LUSHOTO
19
MAFIA
8
MAGHARIBI
17
MAGU
28
MAKETE
6
MANYONI
10
MASASI
45
MASASI-NAYUMBU
1
MASWA
18
MBARALI
3
MBEYA RURAL
15
MBEYA URBAN
6
MBINGA
37
MBINGA NYASA
3
MBOZI
31
MBOZI (MOMBA)
1
MBULU
8
MEATU
24
MICHEWENI
8
MIKINDANI
1
MISENYE
2
MISUNGWI
19
MKINGA
1
MKOANI
10
MKURANGA
5
MONDULI
19
MOROGORO RURAL
7
MOROGORO URBAN
10
MOSHI RURAL
29
MPANDA
24
MPWAPWA
11
MTWARA
1
MTWARA MIKINDANI
7
MTWARA RURAL
37
MTWARA URBAN
10
MUFINDI
22
MUHEZA
18
MULEBA
23
MUSOMA RURAL
19
MUSOMA URBAN
4
MVOMERO
17
MWANGA
15
NACHINGWEA
7
NAMTUMBO
13
NEWALA
33
NEWARA
1
NGARA
33
NGORONGORO
14
NGWALA
1
NJOMBE
12
NJOMBE RURAL
1
NJOMBE URBAN
1
NKASI
21
NYAMAGANA
5
NYASA
3
NZEGA
22
PANGANI
16
ROMBO
27
RUANGWA
9
RUFIJI
19
RUNGWE
13
SAME
13
SENGEREMA
21
SERENGETI
8
SHINYANGA RURAL
24
SHINYANGA URBAN
19
SIKONGE
31
SIMANJIRO
32
SINGIDA RURAL
9
SINGIDA URBAN
8
SONGEA
1
SONGEA RURAL
28
SONGEA URBAN
3
SUMBAWANGA
3
SUMBAWANGA RURAL
11
SUMBAWANGA URBAN
8
TABORA URBAN
6
TANDAHIMBA
18
TANGA
1
TANGA URBAN
10
TARIME
13
TEMEKE
66
TUNDURU
13
UKEREWE
13
ULANGA
11
URAMBO
11
URAMBO (KALIUA)
4
URBAN
5
UYUI
22
WETE
11
Ward Code
2287
11
11
413
Ward Name
2287
0
BAHI
9
BAKOBA
2
BALILI
1
BANGWE
2
BASHAY
6
BITALE
8
BOMA
1
BOMBA MBILI
1
BUCHAMBI
9
BUDALABUJIGA
9
BUGARAMA
13
BUGOGWA
9
BUGORORA
1
BUGURUNI
1
BUHINGU
8
BUHONGWA
1
BUKABWA
1
BUKENE
2
BUKIMA
8
BUKOKO
1
BULANGWA
1
BULUNDA
1
BULUNGWA
6
BULYANHULU
1
BUMBILI
1
BUMBWISUDI
2
BUNAMALA
1
BUNAMHALA
1
BUNDA
1
BUNDA STORE
1
BUNGU
2
BUNGU 'B'
1
BUNGU B
1
BUNJU
2
BUNJU/MABWEPANDE
1
BUPANDWAMHELA
11
BUSAGALA
1
BUSAGARA
6
BUSANDA
2
BUSWELU
2
BUTENGOLUMASA
2
BUTENGORUMASA
1
BUTOBELA
1
BUTUGURI
1
BUZILASOGA
1
BWANGA
2
BWANJAI
6
BWELEO
4
BWILO
1
BWIREGE
1
BWIREGI
6
BWIREGI(KITASAKWA)
1
BYAKASHAJI
1
CHABUTWA
2
CHALINZE
5
CHAMANZI
1
CHAMAZI
1
CHANG'OMBE
2
CHANGAWENI
4
CHANIKA
15
CHANJAANI
1
CHARAMBE
3
CHARAMBE(MIANZINI)
1
CHELA
1
CHIBE
11
CHIBELELA
5
CHIENJELE
1
CHIFUFU
1
CHIGUGU
7
CHIHANGA
2
CHIKOLA
2
CHIKOLOPOLA
1
CHILULUMO
1
CHITEGO
1
CHITETE
3
CHIWONGA
8
CHONGOLEANI
7
CHUMBI
10
CHUMBUNI
1
CHUTAMA
1
CHWAKA
7
DIGODIGO
4
DIHIMBA
4
DINDIRA
5
DINDIRA [MPALE]
1
DINDIRA {MPALE}
1
DINDUMA
1
DIRIMA
1
DONGE KIPANGE
1
DUNDA
4
DUNGA VIJIJINI
1
ENDONYONGIJAPE
1
ENGARUKA
10
FUKAYOSI
1
FUKONI
1
FUNDO
4
FUONI KIBONDENI
1
FUONI KIJITO UPELE
1
FURAHA
2
GENDABI
1
GOBA
1
GODEGODE
5
GWAMANONI
1
HAI MJINI
5
HANANASIF
1
HANANASIFU
1
HERUSHINGO
6
IBAGA
1
IBIHI
1
IDETE
3
IDUDA
4
IFAKARA
1
IFUMBO
4
IGIGWA
1
IGIMA
1
IGOKELO
14
IGONGWA
1
IGUNDA
1
IGUNGA
2
IGURUSI
1
IGWAMANONI
10
IHANDA
1
IHOWANZA
7
IJUGANYONDO
1
IKOBE
1
IKOLA
1
ILAGALA
1
ILALA
1
ILANGALA
2
ILEMBO
7
ILEMELA
1
ILEMERA
1
ILEMI
2
ILOLA
1
ILUJAMATE
1
IPARAMASA
9
IPONYA
1
ISAGAMALIWA
1
ISAKALILO
2
ISAKALIWA
1
ISAKAMALIWA
6
ISALE
6
ISANGA
1
ISANGE
2
ISANSA
11
ISEKE
1
ISONGO
3
ISONGOLE
8
ISSUNA
2
ISSUNA 'B'
1
ISUTO
2
ISUTO-ITAWA
1
ISUTO/ITAWA
2
ITANDALA
1
ITENKA
1
ITILIMA
1
ITILO
2
IYENZE
1
IZIGO
8
JADIDA
2
JAMHURI
8
JAMUHURI
4
JIBONDO
8
JONGOWE
2
KABANGA
1
KABASA
10
KAGONDO
1
KAHAMA YA KHARANGA
1
KAHANGALA
1
KAHANGARA
9
KAIBANJA
2
KAJANA
9
KAJENGWA
1
KAKESE
3
KAKOLA
2
KALABAGAINE
1
KALANGALALA
1
KALENGE
1
KALUNDE
1
KAMBARAGE
8
KAMBI KATOTO
2
KAMENA
1
KANAZI
1
KANGA
8
KANGANI
2
KANONI
1
KARATU
7
KASAMBYA
6
KASELA
1
KASEME
11
KASHARU
6
KASHARUNGA
4
KASHAULILI
2
KASHISHI
2
KASSAMBYA
1
KASULO
1
KASYAMBYA
1
KATANGARA MRERE
7
KATOKE
2
KATORO
3
KATORO CENTER
1
KATUMA
1
KATUMBA
5
KATWE
6
KELA/MOKALA
1
KENYAMONTA
7
KERENGE
9
KIBADA
11
KIBAMBA
5
KIBATA
10
KIBETA
5
KIBIMBA
1
KIBIRIZI
1
KIBOKONI
6
KIBONDE MAJI
1
KIBONDO MJINI
1
KIBOSHO
1
KIBURUGWA
1
KIBWENI
1
KICHIWA
1
KIDOTI
2
KIDUGALO
1
KIEMBE SAMAKI
1
KIFULA
8
KIGAMBONI
1
KIGAMBONI(TUNGI)
2
KIGERA BONDENI
1
KIGOGO
5
KIGOGO MKWAJUNI
1
KIHESA
4
KIHONDA
4
KIHONDA KASKAZINI
2
KIHORE
1
KIJINI
6
KIKEO
4
KIKUNJA
1
KILAGANO
1
KILAGO
1
KILEMA KATI
10
KILIMAHEWA
1
KILIMANI
2
KILIMARONDO
3
KILINDI
1
KILOKA
1
KILOLE
3
KILOLELI
17
KIMAMBA 'A'
1
KIMARA MATANGINI
1
KINDI
1
KINGELIKITI
3
KINGERIKITI
2
KINGUGI
1
KINIMG'INILA
1
KINING'INILA
8
KININGINILA
1
KINONDONI
2
KINOWE
1
KINYEREZI
1
KINYETO
1
KIPAMPA
1
KIPANGE
3
KIPATIMU
1
KIPAWA
2
KIPILI
10
KIPUMBWI
1
KIRANDO
5
KIROMBA
1
KIRUSHA
1
KISARAWE 2
1
KISARAWE II
2
KISESA
6
KISHAPU
3
KISIRIRI
9
KISIWANI
5
KITAGATA
4
KITAHANA
5
KITAMA
2
KITANDA
6
KITERE LIBOBE
2
KITETE
2
KITIRIMA KINGACHI
1
KITOMONDO
1
KITOPE
1
KITUNDA
4
KITWIRU
1
KIVINJE
2
KIVINJE SINGINO
1
KIVINJE/SINGINO
2
KIVULE
2
KIWERE
2
KIWERE NDULI
1
KIWERE/NDULI
1
KIWIRA
5
KIZENGI
1
KIZIMKAZI MKUNGUNI
5
KOLANDOTO
1
KOLOMIJE
1
KOLOWA
1
KOMKONGA
3
KOMSENGA
1
KOROGWE
1
KUMSENGA
6
KUNDUCHI
4
KURASINI
1
KWA KILOSA
1
KWAFUNGO
7
KWAKOA
5
KWAMKONGA
2
KWAYI
1
KWEDIBOMA
10
KWIMBA
1
LAELA
5
LAGANGABILILI
3
LALAGO
1
LANGANGABILILI
1
LIBOBE
1
LIKOMBE
8
LISEKESE
1
LITISHA
6
LITUHI
8
LIULI
7
LIWALE B
1
LIWALE B
5
LIWALE MJINI
4
LIZABONI
1
LOIBOSOIT
1
LOYA
1
LUANDA
1
LUANDA/MANYARA
1
LUBIGA
1
LUCHINGU
5
LUDEWA
2
LUDEWA MJINI
4
LUFINGO
5
LUGONGWE
1
LUHANGALASI
4
LUKANGA
1
LUKOBE
1
LUKOKODA
4
LULINDI
1
LUNAZI
2
LUNGUYA
12
LUPILA
1
LUPILO
2
LUPINGU
4
LUSABA
1
LUSANGA
1
LUSOHORO
1
LUTENDE
6
LWILA
1
LYAMIDATI
1
M/MAKUMBI
1
M/MASHARIKI
1
MABAWA
1
MABIBO
1
MABWEPANDE
7
MABWEPANDE(BUNJU)
1
MACHAME MAGHARIBI
6
MACHAME MASHARIKI
1
MACHUI
1
MADANGWA
1
MADIMBA
1
MAGADINI
1
MAGIRI
1
MAGOGONI
1
MAGOMENI
3
MAHEGE/RUAHA MBUYUNI
1
MAHENGE
1
MAHENGE /LUAHA MBUYUNI
1
MAHINA
2
MAHUNDO
1
MAHUNIKA
1
MAHUNINGA
4
MAHUTA
2
MAJENGO
6
MAJI YA CHAI
5
MAJOHE
1
MAKANG'WA
1
MAKANGARAWE
2
MAKANGARAWE/YOMBO DOVYA
1
MAKANGUSA
1
MAKANYA
3
MAKANYAGIO
1
MAKIBA
1
MAKOBA
5
MAKONGO
1
MAKONGOLOSI
5
MAKONGOROSI
2
MAKORONGO
1
MAKUBURI
1
MAKUKWE
7
MAKURU
2
MAKUYUNI
1
MALAMPAKA
5
MALANGALI
6
MALINDI
5
MAMBOYA
1
MANDEGE
4
MANGAPWANI
1
MANTALE
2
MAPINGA
1
MARANGU MASHARIKI
1
MASAMA KUSINI
1
MASELA
1
MASOKO
4
MASUGURU
1
MATALE
1
MATAMBA
4
MATAWALE
4
MATEMA
5
MATIMILA
4
MATOMONDO
5
MATONGO
1
MATUI
9
MATWIGA
3
MAWENGI
6
MAZIMBU
2
MAZINGARA
6
MBAGALA
1
MBAGALA KUU
4
MBAGARA KUU
2
MBAHA
2
MBAMBA BAY
7
MBAMBABAY
1
MBANJE
1
MBAWALA
1
MBAYA
2
MBEZI LUISI
2
MBOMOLE
2
MBUGUNI
2
MBUJI
7
MBUTU
13
MBUZINI
1
MBWARA
1
MCHARO
1
MCHOLI
1
MCHOLI 1
1
MCHOMOLO
1
MCHOMORO
1
MDIMBA
1
MEKERANI
1
MERERANI
3
MERERANI (ENDYAMTU)
1
MERERANI (NAISINYAI)
3
MERERANI(ENDYAMTU)
1
MERERANI(NAISINYAI)
4
MGAMBO
2
MGANDU (MITUNDU)
1
MGANZA
1
MGOGONI
1
MGOMBA
1
MGONGO
1
MHANDE
19
MIBURANI
1
MICHENGA
1
MIGONGO
2
MIGUA
1
MIGULANI
1
MIGUWA
1
MIKANGAWALA
1
MIKINGUNI
9
MIKOCHENI
2
MIKUMBI
1
MILINGANO
11
MILOLA
3
MINAZINI
1
MINDU
1
MIRAMBO
5
MIRERANI
1
MISALAI
3
MISALAI (MBOMOLE)
1
MISALAI(MBOMOLE)
2
MISALDI
1
MISHAMO
9
MISIMA
1
MISUFINI
1
MISUGUSUGU
1
MISUNGWI
2
MITUNDU
3
MIYENZE
1
MJI MWEMA
1
MJIMWEMA
1
MKANGE
1
MKANYAGENI
1
MKIWA
5
MKOKOTONI
3
MKOLANI
2
MKOREA
1
MKOREHA
1
MKULA
1
MKULULU
8
MKUNDI
1
MKUTI
1
MKUYUNI
4
MKWAJA
2
MKWAJUNI
6
MKWEDU
1
MLANDIZI
1
MLANDIZI A
2
MLEMBWE
5
MLINGOTI MAGHARIBI/NAKAYA
1
MLINGOTI MASHARIKI
4
MLINGOTINI MASHARIKI
1
MLONDWE
1
MNARA
7
MNDUMBWE
1
MNIMA
13
MNYEU
1
MNYIMBI
3
MNYUNGE
1
MOGITU
10
MOHORO
1
MOMBASA
1
MORO
1
MPALE
1
MPINDIMBI
1
MPOMBWE
3
MPOMBWE (PANGALE)
1
MPOMBWE [PANGALE]
1
MRANGI
1
MRERE
2
MSAKA NGOTO
1
MSAMBARA
1
MSASA
1
MSASANI
2
MSEKE
1
MSIGANI
1
MSIJUTE
1
MSINDO
5
MSINJAIRE
1
MSIYA
1
MSOWELO
5
MSOWERO
1
MTAE
1
MTAMBILE
3
MTANILA
1
MTEMANI
1
MTIBWA
5
MTIMBWILIMBWI
1
MTINIKO
3
MTINIKO (MTIMWILIMBWI)
1
MTINIKO/MTIMBWILIMBWI
1
MTOA
5
MTOMBOZI
1
MTONI KIJICHI
1
MTONYA LUCHINGU
1
MTONYA LICHINGU
1
MTOPWA
8
MTOWISA
2
MTUA
1
MTUNDA
2
MTWANGO
12
MTWIVILA
2
MTWIVIRA
1
MUGANZA
1
MUGERA
1
MUHUGI
9
MUHUKULU
3
MUHUKURU
7
MUHUNGI
1
MUNZENZE
1
MURIETI
5
MURITI
7
MURONGO
5
MURUSAGAMBA
6
MUZE
6
MVUMI
6
MWABUSALU
10
MWAKAJE
3
MWAKIJEMBE
1
MWAKIPOYA
1
MWALUSHU
1
MWAMAGEMBE
1
MWAMALA
1
MWAMANIMBA
1
MWAMASHELE
1
MWAMASHIMBA
2
MWAMISHALI
7
MWANAKWEREKWE
1
MWANANYAMALA
1
MWANGA
3
MWANGATA
1
MWANGOKO
1
MWANGUDO
1
MWANHUZI
1
MWANKOKO
4
MWANKONKO
2
MWANTALE
1
MWANZANGE
1
MWASHIKU
1
MWEMBE MADAFU
1
MWEMBEMAKUMBI
1
MWENA
6
MWENE
1
MWENGE
1
MWIKA KASKAZINI
8
MWISENGE
3
MWISI
3
MZENGA
4
MZENGA A
1
MZINGA
1
MZINGANI
1
MZIZIMA
1
MZURI
1
N'GHAMBI
1
NABELELA
1
NABERERA
7
NACHINGWEA
2
NACHUNYU
1
NADWAHI
1
NAIPINGO
1
NAISINYE
1
NAKAYAYA
1
NALA
5
NAMAJANI
2
NAMANYELE
1
NAMANYERE
7
NAMBAMBO
1
NAMILEMBE
2
NAMONGE
1
NAMUPA
6
NANG'ONDO
1
NANGOMBA
9
NANGURUKULU
1
NANJOKA
1
NANYARA
1
NAPUTA
4
NARUNGOMBE
5
NATA
1
NAUMBU
6
NDAMA
5
NDEMBEZI
1
NDEVELWA
4
NDONO
1
NDUNGU
9
NDURUMA
1
NG'HOBOKO
1
NG'WAWAZA
1
NGANGABILILI
1
NGARENARO
1
NGHAYA
1
NGHUNDI
1
NGONGA
8
NGONGOWELE
3
NGORONGORO
10
NGUDU MJINI
1
NGULIGULI
1
NGURUKA
3
NHUMBILI
1
NITEKELA
1
NITELEKA
1
NJINJO
11
NJOMBE MJINI
6
NKOANRUA
1
NKOMA
1
NKOME
2
NKUNGULU
3
NKUNGURU
1
NKWENDA
1
NONGWE
1
NSENDA
1
NTOBEYE
8
NTOBO
1
NYABUGELA
1
NYAISALE
1
NYAKABANGA
1
NYAKAFURU
1
NYAKAKIKA
8
NYAKALILO
1
NYAKAMWAGA
1
NYAKATO
4
NYALUTEMBO
1
NYAMAKOKOTO
1
NYAMANOLO
1
NYAMANORO
3
NYAMATO
2
NYAMBITI
1
NYAMIDAHO
5
NYAMIGOTA KATOROZAMANI
1
NYAMILEMBE
1
NYAMISANGULA
1
NYANDOTO
10
NYANKENDE
2
NYARUGUSU
1
NYERERE
1
NYIGOGO
1
NYIJUNDU
1
NYORORO
1
NZEGA MJINI
2
NZOISSA
1
NZUGIMLOLE
1
OLD MOSH MASHARIKI
1
OLD MOSHI
4
OLD MOSHI EAST
3
OLD VWAWA
1
OLELE
5
OLELE (MARANGU KITOWO)
1
OLELE/MARANGU KITOWO
1
OLJORO
1
OYSTERBAY
1
PANDE
6
PANGALE (MPOMBWE)
2
PANGANI MAGHARIBI
3
PARANGA
3
PASHUNGU
2
PEMBA MNAZ1
1
PEMBA MNAZI
11
PERAMIHO
5
PERAMIO
2
PUGU
5
PUGU KAJIUNGENI
1
PUJINI
1
PUNI
1
PUURU
1
RHOTIA
2
RHOTYA
1
ROTYA
1
RUAHA
1
RUAHA MBUYUNI
1
RUANDA
2
RUANDA /NANYALA
1
RUANDA/NANYALA
1
RUANGWA
1
RUFINGO
1
RUHANGA
7
RUHUWIKO
1
RUJEWA
2
RUNZEWE MAGHARIBI
1
RUSABA
10
RUSUMO
1
RWAMGASA
1
SAKAMALIWA
1
SALAWE
7
SAME
1
SARANGA
2
SEGESE
1
SEKEI
1
SEKONDARI
1
SELELA
8
SEMEMBELA
1
SENGA
7
SENGA MAJENGO
1
SENGA/MAJENGO
3
SHAGIHILU
7
SHAMBARAI
6
SHARIFUMSA
1
SHIMBI
9
SHISHANI
7
SHITAGE
9
SHUMBA MJINI
2
SIGINO
7
SIHA KATI
9
SIKONGE
10
SINZA
2
SISI KWA SISI
1
SISIKWASISI
2
SOISA
1
SOKONI 1
1
SOLWA
1
SOMBETINI
4
SUNUKA.
1
TAMBANI
1
TAMOTA
1
TANDALE
4
TANDANGONGORO
1
TANDIKA
3
TERATI
1
TERRAT
5
TINDABULIGI
1
TINDI
1
TINGI
6
TOANGOMA
2
TONGI
1
TULYA
1
TUMBATU JONGOWE
2
TUNDUMA
2
TURA
2
UBAGWE
1
UBUNGO
1
UCHUNGA
1
UFANA
10
UFUKONI
8
UGALLA
1
UGOGONI
10
ULEWE
2
UPELE
1
USA RIVER
8
USANGULE
1
USARIVER
1
USHIROMBO
9
USHOKOLA
1
USINGE
2
USULE
7
UTENGULE USONGWE
1
UTYATYA
1
UVUMBA
1
UYUMBU
1
VIGOI
3
VIHINGO
1
VIJIBWENI
4
VISIGA
4
VWAWA
8
WAILES
1
WAWI
2
WINGWI MAPOFU
4
YAEDA CHINI
1
ZUGIMLOLE
2
Village / Enumeration Area Code
2287
11
1
999
Village / Enumeration Area Name
2263
0
ABDALLA MWEUPE
1
ADA ESTATE
2
AFYA MAJENGO
1
ALUSENDO
1
BAGAMOYO
1
BANGULO
3
BITARAGURU
9
BOMA NG'OMBE
1
BOMBA MBILI
1
BUBANGO
1
BUCHENJEGELE
1
BUCHURAGO
1
BUGAKAMA
1
BUGOMBA "A"
1
BUGULA
7
BUHONDO
1
BUHONGWA
1
BUHORORO
1
BUKABWA
1
BUKALA
2
BUKAMA
9
BUKENE
8
BUKIGI
5
BUKONYE
1
BULENGAHASI
1
BULYANAGA
1
BULYASHI
7
BUMBA
11
BUMVA
1
BUNASANI
1
BUNAZI
1
BUNDA STORE
1
BUNGU
1
BUNGU 'B'
1
BUNGU B
1
BUNJU B
1
BUNTUBILI
7
BUSANDA
1
BUSINDA
1
BUSOLWA 'B'
1
BUSWELU
1
BUTAINAMWA
6
BUTENGORUMASA
1
BUTOBELA
1
BUYANGE
1
BUYEKERA
1
BUYUNI
1
BUZIBA
1
BUZIMA
1
BWANGA
1
BWAWANI
1
BWELEO
4
BWILINGU
5
CHABUHORA
1
CHABUTWA
1
CHALENI
5
CHANGAWENI
4
CHANGWAELA
1
CHELEWENI
1
CHIBE
2
CHIBINGO
1
CHIENJELE
1
CHIGONGWE
5
CHIGUGU
5
CHIGUGU MKUYUNI
1
CHIGUGU-MKUYUNI
1
CHIHWINDI
2
CHIKOLA
1
CHIKONGO
1
CHIKUNDA
1
CHILOLO
1
CHILONDOLO
4
CHILONDORO
2
CHINULA
1
CHINYEBUI
1
CHIPUPUTA
1
CHITEGO
2
CHIVU
8
CHONGOLEANI
1
CHUGUUNI
1
CHUMBUNI
1
CHUO
1
CHWAKA
6
DAGAILOY
7
DAGO
2
DIFINGA
7
DIHIMBA
4
DINDUMA
1
DODOMA
9
ELOSOITO
1
EMBORET
1
ENGARUKA JUU
7
FILTA
1
FUKAYOSA
1
FUONI KIBONDENI
1
FURAHA
2
GABULANGA
6
GALANI
1
GAMASARA
7
GENDABI
1
GENGE TANO
1
GEZAULOLE
1
GEZAULOLE (CHANG'OMBE)
1
GHANA
1
GHANA JUU
2
GIDAGAMOWD
4
GOBA
1
GUKWA
1
GULUBWIDA
1
GULUGWIDA
1
GURUBWIDA
1
GYKRUM LAMBO
5
GYKRUM-LAMBO
2
HANANASIFU
1
HANSEKETWA
1
HINDISHI
7
HIYARI
1
HOZA
1
HYATO
1
IBIHI
1
IBUTA
1
IBWAGA
5
ICHOBELA
1
IDEKAMISO
1
IDETE
3
IDUDA
3
IDUDA JUU
1
IDUDUMO
1
IDUGUTA
1
IFUMBO
3
IGAKA
1
IGANGA
1
IGOKELO
1
IGOMBE
6
IGOMBE A
1
IGOMBE B
1
IGULWA
1
IGUNGUYA
1
IGURUSI
1
IHANDA
1
IHAPA
8
IHELELE
1
IKOLA
1
IKONONGO
5
ILIGAMBA
11
ILOGI
1
ILOLA
1
ILONGO
1
ILUNDO
4
IMALAMPAKA
1
IMALILO
2
IMARABUPINA
1
IMARAUPINA
1
IMBASENI
3
IMILAMATE
1
INYANGA
1
IPARAMASA
8
IPOGOLO C
1
IPONYA
1
IROBA
1
IRUNDO
1
ISAGALA
1
ISAKAMALIWA
1
ISANGHA
5
ISANGIJO
1
ISENEGEJA
3
ISENGWA
1
ISESA
1
ISHIGAMVA
1
ISONGO
2
ISONGO-KOLOWA
1
ISONGWA
1
ISSUNA 'B'
1
ISSUNA A
1
ISUBANGALA
6
ISUBANGARA
1
ITEJA
2
ITETE
7
ITETE (ALABAMA)
1
ITILIMA
1
ITILO
1
ITINKA
1
ITULIKE
6
ITUMBA
1
ITUMPI
8
ITUNUNO
3
IVAMBI NUNGU
1
IWANGA
1
IWOWO
1
IYENGA
1
IYOGELO
1
IZIMBILI
1
IZIZIMBA A
18
IZIZIMBA B
1
IZUBA
8
JIBONDO
8
JITEGEMEE
1
KABALE KANGAIZA
1
KABANGA
2
KABARE
8
KABILA
4
KAGERA
1
KAGUTU
5
KAGWINA
6
KAHUNDA
4
KAIBANJA
2
KAIRO
3
KAJANA
9
KAKOLA
1
KAKOLA CENTRE
1
KALAKALA
1
KALANGALI
1
KALEMBELA
1
KALEMERA
1
KALENGAKERO
1
KALILANI
8
KALOLE
1
KALOLENI
2
KALONGA
4
KALUNDE
1
KAMAGERA
4
KAMARA
1
KAMASI
1
KAMBI KATOTO
1
KAMEYA
1
KAMUNDI
1
KAMWANDA
4
KANAZI
7
KANDAANI
4
KANDASIKRA
2
KANEMBWA
1
KANGOMBA
2
KANONI A
1
KANYAMA
1
KANYIMBI
1
KANYINDO
1
KAPEMBA
1
KARAGO
1
KASAMWA
2
KASANGA
1
KASANII
1
KASAPO
1
KASELA
1
KASHARUNGA
1
KASHAULILI
1
KASHISHI CENTRE
1
KASISI
1
KASSAMBYA
1
KASURO
1
KATANGARA
7
KATELELE
1
KATEMWA
1
KATORO
1
KATUMA
1
KATUMBA
6
KATUNDU
1
KATWE
2
KAWAWA
1
KAWE
1
KAZUNI
1
KEKO MACHUNGWA
1
KEKOMACHUNGWA
1
KELEMA BALAI
3
KELEMFUA
1
KERENGE MAKABURINI
8
KIBADA
1
KIBATA
9
KIBETA
1
KIBIRIZI
1
KIBOKONI
5
KIBONDE MAJI
1
KIBONDE MAJI B
1
KIBONDO MJINI
1
KIBUBWA
1
KIBWEGERE
5
KICHANGALI
1
KICHANGANI
5
KIDALU
1
KIDONGONI
1
KIDOTI
2
KIDUNI
1
KIGADYE
6
KIGERA
1
KIGOGO KATI
1
KIGOGO MKWAJUNI
3
KIGOGWE
1
KIHODOMBI
1
KIHODOMBI B
1
KIHONDA AZIMIO
1
KIHONDA KASKAZINI
3
KIHONDA KILIMANJARO
1
KIJERESHI
1
KIJIJINI
1
KIJINI
6
KIKARARA
8
KIKEO
2
KIKOO
1
KIKUNJA
4
KIKWETU
1
KILAGO
1
KILANGAJUU
7
KILEGURU
1
KILIMA HEWA
2
KILIMA MOJA
2
KILIMAHEWA
2
KILIMAMOJA
2
KILIMANI
1
KILIMARONDO
3
KILOLE
3
KILOLELI
16
KILOLENI B
1
KILUMBI
9
KIMAMBA
1
KIMARA
1
KIMARA MATANGINI
1
KIMBUGU
1
KIMBUGU'A'
1
KIMOTOLO
1
KINALILYA
7
KINAMIG'HWA
1
KINAMING'HWA
1
KINAMING'WA
1
KINAMINGHWA
1
KINAMINHWA
1
KINAMINWA
1
KINANILYA
2
KINAZI
11
KINDI
1
KING'ONGO
1
KINGACHI
1
KINGUGI
1
KINYAMWEZI
2
KINYEREZI
1
KIOMBO
1
KIPANGE
1
KIPANGE MELI 20
1
KIPUNGUNI B
2
KIRUMBI
1
KISABA
1
KISAMBALE
1
KISAMI
1
KISANGI MJINI
1
KISEKE
1
KISERIAN
1
KISESA
5
KISIWANI
6
KITAGATA
4
KITAHANA
5
KITAMA
1
KITAMA BONDENI
1
KITANDA
6
KITASAKWA
1
KITEME
3
KITERE LIBOBE
1
KITOMA
1
KITOWO
7
KITUNDA
1
KITUNDU
3
KIVULE BOMBA MBILI
1
KIWANDA CHA SODA
1
KIWE
6
KIZINGA
1
KIZIRU
1
KIZIWA
1
KIZIZA
1
KOLANDOTO
1
KOLFANIA
1
KOLOMIJE
1
KONGOWE
1
KUJEWA
1
KUMNYIKA
1
KUMSENGA
6
KUMUKUYU
1
KUNDUCHI
1
KWA CCM
1
KWA GOA
2
KWA KILOSA
1
KWA MASUMA
1
KWA MZUNGU
1
KWA TUMBO
2
KWAKOA
5
KWALAMKONE
1
KWALAMKUNE
1
KWALE
1
KWAMACHALIMA
3
KWATWANGA
7
KWAYI
1
KWEDIGOLE
1
KWEMGOBE
1
KWENJUGO
1
KWENJUGO MAGHARIBI
2
KWENJUGO-MAGHARIBI
3
KWENJUGO/WANDAMA
1
KWENKAMBALA
1
KWEZIZI
1
KYAMUZINGA
1
KYEERI
6
LAGANGABILILI
1
LAMBAI
1
LANGULA
1
LEKI TATU
1
LEKITATU
5
LIBOBE A
1
LIBOBE B
1
LIKONDE
1
LILOMBE A
1
LINAMGASA
1
LINE POLISI
1
LIPUTU
4
LIPWIDI
4
LISANI
3
LITUHI
5
LITUHI B
1
LIUGURU
3
LIULI
6
LIWALE B
4
LIWETA
2
LIZABONI
1
LOLE MARERA
4
LOLEMAKERA
1
LOLEMARERA
1
LUAGALA
1
LUBEHO
1
LUBIGA
1
LUCHINGU
2
LUDETE
1
LUDEWA
4
LUDEWA MJINI
1
LUHAGA
2
LUHANGALASI
7
LUHANGALISI
1
LUHANGARASI
1
LUHOLOLE
4
LUKOONI
1
LUKOZI
4
LUNGUYA
10
LUPA
1
LUPILA
1
LUSANGA
1
LUSORI
1
LUTABO
1
LUTONA
1
LUXMANDA
10
LWANJI
2
LYAMIDATI
1
M/MAKUMBI
1
MABABU
3
MABAWA
1
MABOHA
1
MABWEPANDE
3
MACHALIMA
1
MACHIMBO
1
MACHINJIONI
3
MACHUI
1
MADAGANYA
1
MADANGWA
1
MADIZINI
1
MADUKANI
1
MADUMA
1
MAFURIKO
1
MAGADINI
5
MAGANZA
1
MAGARAMA
1
MAGATINI
2
MAGENGE
10
MAGENGENI
4
MAGEUZI
5
MAGHARIBI
1
MAGHATO
4
MAGOLE
1
MAGURUWE
1
MAGWAMILA
8
MAHANJI
4
MAHUNDO
1
MAHUNINGA
5
MAHUTA BONDENI
1
MAJENGO
5
MAJENGO A
1
MAJENGO MAPYA
1
MAJINGANI
1
MAJOHE
1
MAJUMBA 6
1
MAKALE
4
MAKANG'WA
1
MAKANGARAWE
1
MAKANYA
2
MAKANYA C
1
MAKANYAGIO
1
MAKARANI
1
MAKOKA
1
MAKOLE
5
MAKONGO JUU
1
MAKONGOLOSI
4
MAKONGOROSI
2
MAKUKA
1
MAKUKWE
7
MAKUTI
1
MAKUYUNI
1
MALALANI
6
MALAMBA MAWILI
1
MALI
6
MALI-KWEMIKUNTU
1
MALONGWE
1
MAMAGI
1
MANDA NG'OMBE
1
MANGO PACHA NNE
1
MANZESE
1
MAPAMBISHO
1
MAPARAGWE
2
MARAMBA
1
MASAGI
4
MASAGI-MIEMBENI
1
MASANJA
1
MASELA
1
MASOKO
5
MASUGURU
1
MASUNGA
1
MASURURA
2
MATAMBA
2
MATAWALE
4
MATIPWILI
1
MATONGO
1
MATONGOLO
1
MATOPENI
1
MATWIGA
3
MAVANI
1
MAVUNGWA
1
MAWIMBINI
3
MAZIMBU
1
MAZIMBU ROAD
1
MAZIWA
1
MAZIZINI BWAWANI
1
MBAE
3
MBAE MASHARIKI
1
MBAGALA MAJI MATITU B
1
MBAGARA KUU
1
MBAMBA BAY
6
MBAMBABAY
1
MBANGAYAO
1
MBAYA
2
MBOMOLE
7
MBOPO
6
MBUGANI
2
MBUYUNI
1
MBWARA MASHARIKI
1
MBWENI
1
MCHANGANI
2
MCHEMELA
2
MCHONGOMANI
1
MDODO PILAU
2
MDOWE
1
MGANZA
1
MGAO
4
MGAZINI
1
MGOA
1
MGOGONI
1
MGOMA
5
MGONGO
4
MHUNZE
2
MIANZINI
2
MICHENGA
1
MIGANGO
2
MIGEMBE
1
MIGOMBANI
2
MIGONGO
3
MIGUNGA
1
MIGUNGANI
1
MIKANJUNI
1
MIKINGUNI-MASAINI
1
MIKOCHENI
1
MIKOCHENI"A"
1
MILOLA
3
MILOLA 'A'
1
MILOLA MASHARIKI
1
MILUMBA
1
MINDU
1
MIONGONI
1
MIRERANI
2
MISAKE
1
MISHENI
1
MISIGIYO
10
MISIMA
1
MISUFINI
11
MISUGUSUGU
1
MISWE
4
MITENE
1
MITITI
5
MITOBO
8
MITOMINGI
1
MIZIMBINI
2
MJAWILI
1
MJI MPYA
2
MJI MWEMA
1
MKACHIMA
1
MKANGARA
1
MKHOIREE
1
MKIMBIZI D
4
MKIWA
6
MKIZE
1
MKOLANI
1
MKONOO
6
MKOREHA
1
MKUBU
1
MKULULU
7
MKULULU/CHINGOLOPI
1
MKUNDI
1
MKUNGUNI
1
MKUTI
1
MKWAJA
1
MKWAJUNI
7
MKWEDU
1
MKYASHI
9
MLAMLENI
1
MLANDEGE
4
MLANDIZI
2
MLEMBULE
4
MLIMA SIONI
1
MLIMASIONI
1
MLONDWE
1
MLUMBIRO
2
MMULUNGA
5
MMUMBU
1
MNAMBA
6
MNIMA
8
MNYAMANI
1
MNYEU
1
MNYIMBI
3
MNYOMA
1
MOGITU
6
MOGO
1
MOHORO
1
MORINGE
1
MPALALU
1
MPANDA/ITETE
1
MPELA
1
MPEMIO
1
MPIGI MAGOHE
1
MPIMA
1
MPINGI
1
MPIRANI
7
MPOMBWE
6
MPONDA
8
MPOYOYO
1
MREMBULE
1
MRITI
1
MSAKALA
2
MSASA
1
MSASANI
1
MSEMEMBO
2
MSIA
3
MSIKITI MKUBWA
5
MSIKITINI
2
MSIYA
2
MSONGOLA
1
MSOWELO
1
MSUFINI
1
MSWAKI
1
MTAE
1
MTAKUJA
2
MTANDANGO
6
MTANDI
1
MTANDIKA
4
MTANGE
5
MTAPENDA
7
MTAWANYA
5
MTEMANI
3
MTENGA
1
MTIMBWILIMBWI
5
MTITI
1
MTONDO WA KIMWAGA
1
MTONGA
7
MTONGANI
1
MTONGANI KUNDUCHI
1
MTONI KIJICHI
3
MTOPWA
1
MTUA
1
MTUMBATI
4
MTUNDURU
1
MTUNGURU
1
MTUNUNGU
1
MTWANGO
10
MUGAMBI
1
MUGANZA
1
MUGHOLO
4
MUGURU WA NG'OMBE
1
MUHORO
6
MUHUKULU
1
MUHUKURU BARABARANI
1
MULA LEPOLO
3
MULIDEDE
1
MULUMBILO
1
MULUMBIRO
1
MUNGIJUU
1
MURUBANGA
6
MUSLUR
1
MUUNGURUMO
4
MUYUYU
1
MUZE
5
MVUGWE
5
MVULENI
2
MVUMI
5
MVUMI MISSION
6
MWABAGALU
1
MWABAKIMA
3
MWABASABI
1
MWABULENGA
1
MWABUSALU
10
MWADUBI
1
MWADUI
1
MWAFUTE
2
MWAJA
1
MWAJOMBO
11
MWAKIZEGA
1
MWALA
1
MWAMANYILI
9
MWAMASHIMBA
2
MWAMATIGA
1
MWAMAYUNGA
4
MWAMAYUNGA(UTYATYA)
1
MWAMBAO
1
MWAMBUKU
1
MWAMKULU
3
MWAMLELA
2
MWAMLOLI
1
MWANANCHI
1
MWANDUTU
1
MWANEKEYI
3
MWANGA
1
MWANGAZA
4
MWANGONDI(MANDAKA)
1
MWANGUDO
1
MWANYAGULA
9
MWANZUGI
1
MWASELE
5
MWASELE A
2
MWASHEGESHI
1
MWASONGA
1
MWAYUNGE
1
MWEMBE KARATA
1
MWEMBE MADAFU
1
MWEMBENI
1
MWENDAKULIMA
1
MWENGE B
1
MWENGEI
1
MWINJUMA
1
MWISOLE
6
MWONGOZO
1
MZENGA
3
MZENGA A
2
MZIHA
1
MZIMBINI
1
MZINGA
5
MZINGANI
1
N'GHAMBI
1
NAANDWAHI
1
NACHIENJELE
1
NAGULO
9
NAIPINGO
1
NAISINYAI
7
NAKAHUGA
6
NAKAMWA
1
NAMAJANI
1
NAMALULU
8
NAMAYANGA
2
NAMBA TANO
1
NAMLONGA
6
NAMLONGO
1
NAMONGE
1
NANDAMBI
1
NANDINU
1
NANGE
2
NANGOMBA
9
NANGUMBA
1
NANGURUKULU
1
NANGWALA
1
NANJOKA
1
NARUNGOMBE
1
NATIONAL
1
NDAPATA
5
NDEMBEZI
1
NDEVELWA
4
NDUNGU
1
NDUTA KAMBINI
1
NEMELE
1
NERVADA
1
NG'HOBOKO
1
NG'OMANGO
1
NG'OWO
2
NG'WAWAZA
1
NGAU
1
NGEME
1
NGESHA
1
NGINGAMA
1
NGOLOLOKA
1
NGOMA
1
NGURUKA
1
NGWIHANDO
1
NGYEKE
1
NGYEKYE
1
NHABARA
1
NHUMBILI
10
NINDO
1
NJENGA
1
NJIA NNE
1
NJIA PANDA
1
NJINJO
9
NJUNGWA
5
NKAYA
1
NKOANRUA
1
NKOME
1
NKUNDOO
1
NSASA A
1
NSENDA KANOGE
1
NTENE
6
NUNDU
1
NYABURO KISIWANI
1
NYAGASENSE
5
NYAGISYA
1
NYAKAGWE
1
NYAKAHAKO
1
NYAKAKIKA
8
NYAKATO
1
NYAKATO NATIONAL
1
NYAKAYONDWA
1
NYAKINYO
1
NYAKWALE
2
NYALWELWE
1
NYAMAHANGA
10
NYAMAKOKOTO
2
NYAMALELE
1
NYAMANORO C
2
NYAMAPINDA
1
NYAMATOKE
1
NYAMBITI
1
NYAMBUNDA
1
NYAMHONGOLO
1
NYAMHOZA
3
NYAMITONDO
1
NYAMUHOZA
4
NYAN'GABO
1
NYANGABO
1
NYANGALA
1
NYANGE
1
NYANKENDE
1
NYARULAMA
12
NYARUTUNTU
1
NYARUYOBA
5
NYASAKA B
1
NYASATO
7
NYASURA
1
NYEGEZI
1
NYEREGETE
2
NYIJUNDU
1
NYORORO NJIA PANDA
1
NYUMBANITU
1
NYURUYOBA
1
NZASA
2
OLASITI
2
OLASITI KATI
2
OLD VWAWA
8
OLESITI
1
OLKOLILI
1
OLMATEJO
1
ORKOLILI
8
ORKUJIT
1
OSITETI
5
OSTETI
2
OSUNYAI
1
PANGALE
1
PASHUNGU
6
PELANI
1
PEMBA CENTER
1
PEMBA MNAZI
1
PERAMIHO 'B'
2
PERAMIHO B
3
PERAMIO
1
PERAMIO B
1
PLAMBILI
1
PUGU KAJIUNGENI
1
PUNI
1
PUURU
1
PWANI
3
RAA
4
RAA KATI
1
RAA-KATI
2
RAHA LEO
2
RIKERE
2
ROSHO
1
RUHANGA
7
RUHUWIKO
1
RUMASA
1
RUNGWA
1
RUNYAGA
2
RUSENGA
1
RUSOLI
5
RUTELE
1
RWABIKAGATI
5
RWAMASHONGA
6
RYAMISANGA
4
RYAMISANGA (BWIREGI)
1
SAKURA
1
SAMANGA
1
SAMBALAI
1
SAME
1
SANGWE
1
SAWALA
2
SEKEI
1
SELELA
7
SEMTEMA B
3
SEMTEMA-B
1
SENGA
6
SENGWA
1
SENTA
1
SHABA
1
SHAGIHILU
7
SHAMBARAI
3
SHAMBARAI (KANDASIKRA)
1
SHARIFU SHAMBA
1
SHARIFUMSA
1
SHILANGA
6
SHIMBI MASHO
8
SHIMBIMASHO
1
SHITAGE
6
SHULENI
1
SHUMBA MJINI
2
SILIMUKA
1
SINZA A
1
SINZA C
1
SISIKWASISI
2
SOKONI
7
SOLWE
1
SOMBETINI
3
SONGAMBELE
11
STAHABA
1
STENGETENGE
3
SUNGA PWANI
2
SUWA
6
TAMBALA NG'0MBE
1
TAMBALANG'OMBE
5
TAMLA
1
TANDALE KWA TUMBO
1
TANDIKA
1
TANGA BARABARANI
2
TATUMBILA
1
TAWI LA CCM
1
TEGETA
2
TEMEKE A
1
TINDABULIGI
1
TOANGOMA
1
TOMONDO
1
TOROLI
2
TUAMOYO
1
TUAMOYO(MAGOGONI)
1
TULYA
1
TUNDUU
1
TUNDWI
1
TUNDWI SONGANI
4
UBAGWE
1
UBIGA
1
UFUKONI
2
UGOGONI
1
UGOGONI 'A'
3
UGOGONI A
1
UGOMAGOMA
1
UGWACHALE
1
UKOMBOZI-MULUNGA 11
1
UNYANGA
3
UNYIANGA
3
USHIRIKA
1
USIMBA
1
USINGE
1
UTYATYA
4
UVINJE
4
UYUMBU
1
VIGOI
3
VIWANJA SITINI
1
VWAWA
1
WELA
1
YAEDA CHINI
1
YATO
1
ZIZI LA NG'OMBE
1
Kitongoji or MTAA name
2288
0
**CONFIDENTIAL**
2288
Household Code
2287
11
6
3921
Name of household head
2288
0
**CONFIDENTIAL**
2288
Name of household head from NPS year 2
2288
0
**CONFIDENTIAL**
2288
Full household identification from NPS year 2
2287
0
Name of enumerator
2288
0
**CONFIDENTIAL**
2288
Enumerator code
2287
11
2
102
Time interview start - HR
2287
11
1
12
1
19
2
28
3
36
4
71
5
156
6
336
7
442
8
405
9
343
10
268
11
131
12
52
Sysmiss
11
Time interview start - MIN
2287
11
0
59
Date of interview
2287
11
1012013
31122012
Name of field supervisor
2288
0
**CONFIDENTIAL**
2288
Field supervisor code
2278
20
1
102
Date of questionnaire inspection
2280
18
1012013
31122012
Name of data entry clerk
2288
0
**CONFIDENTIAL**
2288
Data entry clerk code
2287
11
17
102
Date of data entry
2287
11
19272
19708
2ND Data entry clerk code
0
2298
Sysmiss
2298
Date of 2ND data entry
0
2298
Sysmiss
2298
DID ANYONE IN THE HOUSEHOLD OWN ANY LIVESTOCK IN THE LAST 12 MONTHS?
2287
11
1
2
1
YES
2164
2
NO
123
Sysmiss
11
DID ANYONE IN THE HOUSEHOLD ENGAGE IN FISHING IN THE LAST 12 MONTHS?
2287
11
1
2
1
YES
248
2
NO
2039
Sysmiss
11
Observations on the interview
2277
21
1
2
1
YES
2133
2
NO
144
Sysmiss
21
Unique HH Identifier
4988
0
HH Distance in (KMs) to Nearest Major Road
4988
0
0
135.4
HH Distance in (KMs) to Nearest Population Center with +20,000
4988
0
0
200
HH Distance in (KMs) to Nearest Agricultural Market
4988
0
0.4
257.1
HH Distance in (KMs) to Headquarters of District of Residence
4988
0
0.4
450.3
HH Distance in (KMs) to Nearest Border Crossing
4988
0
0
586
Annual Mean Temperature (°C * 10)
4988
0
127
278
Mean Temperature of Wettest Quarter (°C * 10)
4988
0
136
285
Annual Precipitation (mm)
4988
0
462
2377
Precipitation of Wettest Month (mm)
4988
0
106
700
Precipitation of Wettest Quarter
4988
0
231
1484
Majority landcover class within approx 1 km buffer
4988
0
14
210
14
Rainfed Croplands
408
20
Mosaic cropland(50-70%)/vegetation(20-50%)
5
30
Mosaic Vegetation(50-70%)/cropland(20-50%)
1740
40
(>15%) broadleaved evergreen or semi-deciduous forest (>5m)
17
50
Closed(>40%)broadleaved decidious forest(>5m)
637
60
Open(15-40%)broadleaved decidious forest/woodland(<5m)
244
90
Open(15-40%)meedleleaved decidious or evergreen forest
13
110
Mosaic forest or shrubland(50-70%)/grassland(20-50%)
25
120
Mosaic grassland(50-70%)/forest or shrubland(20-50%)
4
130
Closed to open (>15%) (broadleaved or needleleaved, evergreen or deciduous) shrubland (<5m)
269
140
Closed to open (>15%) herbaceous vegetation (grassland, savannas or lichens/mosses)
641
150
Sparse (<15%) vegetation
5
160
Closed to open(>15%)grassland-fresh/brackish water
12
180
Closed to open(>15%)grassland-fresh/brackish/saline water
0
190
Artificial surfaces and associated areas(Urban areas>50%)
860
200
Bare areas
3
210
Water bodies
105
Percent agriculture within approx 1 km buffer
4988
0
0
100
Agro-ecological Zones
4988
0
312
324
101
Temperature/arid
0
102
Temperature/Semi-arid
0
103
Temperature/Sub-humid
0
104
Temperature/humid
0
211
Subtropic-warm/arid
0
212
Subtropic-warm/semi-arid
0
213
Subtropic-warm/subhumid
0
214
Subtropic-warm/humid
0
221
Subtropic-cool/arid
0
222
Subtropic-cool/semiarid
0
223
Subtropic-cool/subhumid
0
224
Subtropic-cool/humid
0
311
Tropic-warm/arid
0
312
Tropic-warm/semiarid
259
313
Tropic-warm/subhumid
3247
314
Tropic-warm/humid
50
321
Tropic-cool/arid
0
322
Tropic-cool/semiarid
158
323
Tropic-cool/subhumid
1204
324
Tropic-cool/humid
70
400
Boreal
0
2010 Population Density Range (people per KM2)
4988
0
0-50
869
100-200
669
1000-2000
376
10000-20000
329
200-300
382
2000-3000
186
20000-30000
194
300-400
270
3000-4000
109
400-500
154
4000-5000
84
50-100
505
500-1000
507
5000-6000
47
6000-7000
64
7000-8000
46
8000-9000
36
9000-1000
32
>30000
129
Elevation (m)
4988
0
2
2574
Slope (percent)
4988
0
0
46.567
Potential Wetness Index
4988
0
0
36
Terrain Roughness
4988
0
1
13
1
Plains
1082
2
Mid-altitude Plains
286
3
High-altitude Plains
1250
4
Lowlands
607
5
Rugged Lowlands
2
6
Platform(very low plateaus)
163
7
Low Plateaus
233
8
Mid-altitude Plateaus
978
9
High Plateaus
49
10
Very high plateaus
0
11
Hills
13
12
Low Mountains
65
13
Mid-altitude Mountains
260
14
High Mountains
0
15
Very High Mountains
0
Nutrient availability
4988
0
0
7
0
Ocean
381
1
No or Slight Constraint
1269
2
Moderate Constraint
2792
3
Severe Constraint
440
4
Very Severe Constraint
5
5
Mainly Non-Soil
0
6
Permafrost
0
7
Water
101
Nutrient retention capacity
4988
0
0
7
0
Ocean
381
1
No or Slight Constraint
2249
2
Moderate Constraint
2173
3
Severe Constraint
79
4
Very Severe Constraint
5
5
Mainly Non-Soil
0
6
Permafrost
0
7
Water
101
Rooting conditions
4988
0
0
7
0
Ocean
381
1
No or Slight Constraint
3615
2
Moderate Constraint
650
3
Severe Constraint
129
4
Very Severe Constraint
64
5
Mainly Non-Soil
48
6
Permafrost
0
7
Water
101
Oxygen availability to roots
4988
0
0
7
0
Ocean
381
1
No or Slight Constraint
3958
2
Moderate Constraint
423
3
Severe Constraint
122
4
Very Severe Constraint
3
5
Mainly Non-Soil
0
6
Permafrost
0
7
Water
101
Excess salts
4988
0
0
7
0
Ocean
381
1
No or Slight Constraint
4257
2
Moderate Constraint
208
3
Severe Constraint
41
4
Very Severe Constraint
0
5
Mainly Non-Soil
0
6
Permafrost
0
7
Water
101
Toxicity
4988
0
0
7
0
Ocean
381
1
No or Slight Constraint
4403
2
Moderate Constraint
82
3
Severe Constraint
21
4
Very Severe Constraint
0
5
Mainly Non-Soil
0
6
Permafrost
0
7
Water
101
Workability (constraining field management)
4988
0
0
7
0
Ocean
381
1
No or Slight Constraint
2760
2
Moderate Constraint
1209
3
Severe Constraint
401
4
Very Severe Constraint
74
5
Mainly Non-Soil
62
6
Permafrost
0
7
Water
101
Avg 12-month total rainfall(mm) for July-June
4988
0
347
1806
Avg total rainfall in wettest quarter(mm) within 12-month periods from July-June
4988
0
224
915
Avg start of wettest quarter in dekads 1-36, where first week of July =1
4988
0
14.4
24.6
12-month total rainfall (mm) in July-June, starting July 2011
4988
0
280
2346
Total rainfall in wettest quarter (mm) within 12-month period starting July 2011
4988
0
160
1239
Start of wettest quarter in dekads 1-36, where first week of July 2011 =1
4988
0
7
28
12-month total rainfall (mm) in July-June, starting July 2012
4988
0
327
2172
Total rainfall in wettest quarter(mm) within 12-month periods starting July 2012
4988
0
197
1054
Start of wettest quarter in dekads 1-36, where first week of July 2012 =1
4988
0
2
25
Avg change in greenness(integral of daily EVI values)w/in primary growing season
4988
0
26.2
85.6
Avg onset of greenness increase in day of year 1-356,where 7/4=1,avg by district
4988
0
86
160
Avg onset of greenness decrease in day of year 1-356,where 7/4=1,avg by district
4988
0
272
323
Change in greenness(integral of daily EVI values)w/in 2011-12 growing season,avg
4988
0
28
87
Onset of greenness increase in day of year 1-356,starting 7/4/11,avg by district
4988
0
56
175
Onset of greenness decrease in day of year 1-356,starting 7/4/11,avg by district
4988
0
234
327
Change in greenness(integral of daily EVI values)w/in 2012-13 growing season,avg
4988
0
22
94
Onset of greenness increase in day of year 1-356,starting 7/4/12,avg by district
4988
0
86
172
Onset of greenness decrease in day of year 1-356,starting 7/4/12,avg by district
4988
0
253
333
Avg EVI value at peak of greenness w/in growing season(incl Vuli & Masika)
4988
0
0.365
0.673
EVI value at peak of greenness within growing season,starting 7/4/11
4988
0
0.352
0.66
EVI value at peak of greenness within growing season,starting 7/4/12
4988
0
0.343
0.67
GPS Latitude Modified
4988
0
-11.497
-0.998
GPS Longitude Modified
4988
0
29.611
40.421
Distance to Y1 location
1290
3698
0
1115
Unique Panel Identifier NPSY3
27889
0
1
27889
Unique HH Identifier
16709
0
SBMEMNO: MEMBER NUMBER
16709
11180
1
46
Unique Year 2 HH ID
20559
0
Individual ID
20559
7330
1
55
Unique Household Identification NPS Y3
25412
0
Individual ID
25412
2477
1
54
Unique HH Identifier
5406
0
Plot ID
5406
0
M1
2542
M10
3
M11
1
M2
1476
M3
770
M4
345
M5
138
M6
68
M7
29
M8
17
M9
8
V1
8
V2
1
Plot Distance in (KMs) to HH
5406
47
0
3803.7
Plot Slope (percent)
5406
47
0
94.46
Plot Elevation (m)
5406
47
5
2286
Plot Potential Wetness Index
5406
47
0
36
Unique Household Identification NPS Y3
5010
0
(mean) y3_panelweight
5010
0
24.828
13538.683