TZA_2014_NPS-R4_v03_M
DDI_TZA_2014_NPS-R4_v023_M_WB
LSMS
Development Economics Data Group
2017-07-17
Nesstar Publisher
Version 01 (July 2017)
Version 02 (April 2019): identical to v01 with revised datasets (com_sec_a1a2; com_sec_cb; com_sec_cc; com_sec_cd; com_sec_ce; com_sec_cf; com_sec_cf_id and com_sec_cg)
Version 03 (April 2019): identical to v02 with revised dataset (consumptionNPS4) - coding error fixed.The variable “area” is irrelevant and subsequently removed from consumption file.
National Panel Survey 2014-2015
Wave 4
NPSY4 2014-2015
TZA_2014_NPS-R4_v03_M
National Bureau of Statistics
NPS Technical Committee
World Bank Living Standard Measurement Study Team
Nesstar Publisher
European Commission
Bill and Melinda Gates Foundation
Director General
LSMS Data Manager
World Bank Microdata Library
Living Standards Measurement Study
The 2014/2015 Tanzania National Panel Survey (NPS) is the fourth 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 socioeconomic characteristics. All four 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. Field work for the fourth round started in October 2014 and lasted until January 2016.
v02: additional information in datasets com_sec_a1a2; com_sec_cb; com_sec_cc; com_sec_cd; com_sec_ce; com_sec_cf; com_sec_cf_id and com_sec_cg
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 Five Year Development Plan (FYDP) II poverty reduction strategy and its predecessor plans, and evaluating 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 (DHS) on health, the Integrated Labour Force Survey (ILFS) on labour markets, the Household Budget Survey (HBS) on expenditure, and the National Sample Census of Agriculture (NSCA). 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
Designed for analysis of key indicators at four primary domains of inference, namely:
Dar es Salaam,
Other Urban,
Rural,
Zanzibar,
Households; Individuals
The universe includes all households and individuals in Tanzania with the exception of those residing in military barracks or other institutions.
Sample survey data [ssd]
The 2014-15 NPS covers the following topics:
- HOUSEHOLD: Household identification; Survey staff details; Household member roster; Education, 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 implements 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.
The NPS sample was refreshed for NPS 2014/2015. Longitudinal surveys tend to suffer from bias introduced by households leaving the survey over time (i.e. attrition). Although the NPS maintains a highly successful recapture rate (roughly 96% retention at the household level), minimizing the escalation of this selection bias, a refresh of longitudinal cohorts is typically done to ensure proper representativeness of estimates while maintaining a sufficient primary sample to maintain cohesion within panel analysis. Additionally, the refreshing of a longitudinal sample realigns the sample with any changes in administrative boundaries, demographic shifts, or updated population information. In the case of Tanzania, a newly completed Population and Housing Census (PHC) in 2012 providing updated population figures, along with changed in administrative boundaries, emboldened an opportunity to realign the NPS sample.
Similar to the sample in NPS 2008/2009, the sample design for the “Refresh Panel” allows analysis at four primary domains of inference, namely: Dar es Salaam, other urban areas on mainland Tanzania, rural mainland Tanzania, and Zanzibar.
The sample design is a stratified two-stage design. The design consists of 51 design strata (identified in the data as ‘strataid’) corresponding to a rural/urban designation for each of the 26 regions; however, Dar es Salaam is pure urban and therefore constitutes only one stratum. The allocation across the design strata was informed by the last round of the NPS and seeks to balance multiple survey objectives and maximize precision given survey parameters. The intended sample design consisted of a new selection of 3,360 households corresponding to 420 EAs from the latest PHC in 2012. This new cohort in NPS 2014/2015 will be maintained and tracked in all future rounds between national censuses.
A nationally representative sub-sample was selected to continue as part of an “Extended Panel”. This “Extended Panel” allowed general comparison of sample groups and monitoring indicator comparability. The “Extended Panel” is not included in the initial NPS 2014/2015 data release.
During the survey, one selected EA was demolished and subsequently not interviewed. The resulting sample consists of 3,352 households across 419 EAs.
Other [oth]
Preparations:
The field team supervisors were trained for four days prior to the main enumerator training. The field staff was trained in Morogoro in September 2014 over a period of three 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 three week training period, the field staff spent one week on the Household Questionnaire, and a week and a half on the Agricultural Questionnaire, Livestock/Fishery Questionnaire, and tracking. The last three days of the training were devoted to field practice. 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.
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. 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. At the end of the training, the enumerators were each provided with an interviewer manual in Kiswahili.
Field Work:
The main data collection began in October 2014 and finished in October 2015, with tracking fieldwork continuing until the end of January 2016. The survey was primarily implemented by eight mobile field teams, each composed of: one supervisor, five or six enumerators, one data entry technician, and one driver. Seven mobile field teams were responsible for different regions on the mainland and one team was responsible for all of Zanzibar.
Field teams visited each cluster for three to four 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 one 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.
Listing:
When the field teams enter a new cluster, they listed all of the households within the boundaries of the EA. This consisted of collecting basic information on the households in the EA, including name of head of household, contact information, and size of household. After all the households in the EA had been listed, the information was then entered into a data entry program in CSPro. Total listing household counts where compared with previous census counts and when significant variation existed, listing accuracy was confirmed. After all the information has been entered, the application would then select with systematic random selection and report eight households in the EA to be interviewed by the team. The application additionally provided three randomly selected replacement households.
Data Processing & Management:
The NPS 2014/2015 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 from the World Bank, 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 as CAFE, or 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 of the work conducted for the NPS 2010/2011 and NPS 2012/2013, the NPS 2014/2015 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 data from previous rounds.
As data entry took place while in the interview area, when data issues were identified and reported the 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 via syncing to a server 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.
The NPSY4 “Refresh Panel” sample was a stratified two-stage sample design. The sample was stratified along two dimensions: (i) 26 regions, and (ii) rural/urban designation within each region. The combination of these two dimensions yields 51 independent strata. The first stage of sampling involved the selection of survey clusters with the probability of selection proportional to cluster size within a stratum. Following a listing exercise, eight households were selected with systematic random selection. Additionally, three households were randomly selected within each EA in case of possible household non-response.
The expansion factors are Winsorized for the top 1 percentile and post-stratified to 2015 regional household projections. The NPS 2014/2015 household cluster weight, variable “y4_weight”, has been integrated into Section A (“HH_SEC_A”) of the household data files. Additionally, unique identifiers for the first-stage sampling units, “clusterid”, and for the sampling strata, “strataid” can also be located in Section A of the household data files. The complex sample design must be taken into account to ensure proper calculation of standard errors.
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 data files 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.
The sample of households selected in the NPS 2014/2015 is only one of many samples that could have been selected from the same population. Each alternative sample would yield slightly different from the results of the selected sample. Sampling errors are a measure of the variability between all possible samples and although the degree of variability cannot be directly observed, it can be estimated from the survey results and statistically evaluated. A sampling error can be measured in terms of the standard error for a particular statistic.
The computer software program STATA used estat effects to calculate sampling errors for the NPS 2014/2015. In addition to the standard error, STATA computed the design effect (DEFF) for each estimate, which is defined as the ratio between the standard error using the given sample design and the standard error that would result if a simple random sample had been used. A DEFF value of 1.0 indicates that the sample design is as efficient as a simple random sample, while a value greater than 1.0 indicates the increase in the sampling error is due to the use of a more complex and less statistically efficient (but perhaps more logistically efficient) design. STATA also computed the relative error and confidence limits for the estimates.
Sampling errors for the NPS 2014/2015 are calculated for selected variables considered to be of primary interest at the household and individual levels. The results are presented in the BID Appendix A at the national level and for each of the four primary domains of inference, namely: Dar es Salaam, other urban areas on mainland Tanzania, rural mainland Tanzania, and Zanzibar. For each variable of interest, the value of the statistic (R), its standard error (SE), the number of cases, the design effect (DEFF), the relative standard error (SE/R), and the 95 percent confidence limits (R±2SE) are provided in Tables 1-10 in the BID. The DEFF is considered undefined when the standard error in a simple random sample is zero (when the estimate is close to 0 or 1).
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 (NBS) [Tanzania]. 2015. National Panel Survey (NPS) - Wave 4, 2014 - 2015. Ref.TZA_2014_NPS-R4_v03_M. Downloaded from [URL] on [Date]. 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.
Although the data have been produced and processed from sources believed to be reliable, no warranty expressed or implied is made regarding accuracy, adequacy, completeness, legality, reliability or usefulness of any information. This disclaimer applies to both isolated and aggregate uses of the information. This data is provided on an "AS IS" basis. Changes may be periodically added to the information herein; these changes may or may not be incorporated in any new version of the publication(s). It is recommended that the user pay careful attention to the contents of any metadata associated with a file. If the user finds any errors or omissions, we encourage the user to report them to the data producer(s).
ag_filters.NSDstat
Agriculture Questionnaire - Filters
3352
6
Nesstar 200801
ag_network.NSDstat
Agriculture Questionnaire - Network Roster
7212
6
Nesstar 200801
ag_sec_01.NSDstat
Agriculture Questionnaire - Section 1: Household Roster
12415
7
Nesstar 200801
ag_sec_2a.NSDstat
Agriculture Questionnaire - Section 2a: Plot Roster
5537
15
Nesstar 200801
ag_sec_2b.NSDstat
Agriculture Questionnaire - Section 2b: Plot Roster - Additional Plots
3353
15
Nesstar 200801
ag_sec_3a.NSDstat
Agriculture Questionnaire - Section 3a: Plot Details - Long Rainy Season
5537
171
Nesstar 200801
ag_sec_3b.NSDstat
Agriculture Questionnaire - Section 3b: Plot Details - Short Rainy Season
5551
172
Nesstar 200801
ag_sec_4a.NSDstat
Agriculture Questionnaire - Section 4a: Crops by Plot - Long Rainy Season
7126
39
Nesstar 200801
ag_sec_4b.NSDstat
Agriculture Questionnaire - Section 4b: Crops by Plot - Short Rainy Season
4135
40
Nesstar 200801
ag_sec_5a.NSDstat
Agriculture Questionnaire - Section 5a: Crop Production and Sales
Long Rainy Season
5978
52
Nesstar 200801
ag_sec_5b.NSDstat
Agriculture Questionnaire - Section 5b: Crop Production and Sales
Short Rainy Season
3844
52
Nesstar 200801
ag_sec_6a.NSDstat
Agriculture Questionnaire - Section 6a: Permanent Crops by Plot - Fruit Crops
5540
19
Nesstar 200801
ag_sec_6b.NSDstat
Agriculture Questionnaire - Section 6b: Permanent Crops by Plot - Permanent Crops
4727
19
Nesstar 200801
ag_sec_7a.NSDstat
Agriculture Questionnaire - Section 7a:
Permanent Crops by Crop - Fruit Crops
5128
27
Nesstar 200801
ag_sec_7b.NSDstat
Agriculture Questionnaire - Section 7b:
Permanent Crops by Crop - Permanent Crops
4178
27
Nesstar 200801
ag_sec_10.NSDstat
Agriculture Questionnaire - Section 10:
Processed Agricultural Products and Agricultural By-Products
4823
22
Nesstar 200801
ag_sec_11.NSDstat
Agriculture Questionnaire - Section 11:
Farm Implements & Machinery
32640
12
Nesstar 200801
ag_sec_12a.NSDstat
Agriculture Questionnaire - Section 12a: Extension
11724
20
Nesstar 200801
ag_sec_12b.NSDstat
Agriculture Questionnaire - Section 12b: Extension
17996
6
Nesstar 200801
ag_sec_a.NSDstat
Agriculture Questionnaire - Section A-1: Household Identification
3352
31
Nesstar 200801
com_sec_a1a2.NSDstat
Community Questionnaire - Section A-1: Community Identification, Section A-2: Survey Staff Details
416
45
Nesstar 200801
com_sec_cb.NSDstat
Community Questionnaire - Section CB: Access to Basic Services
12896
8
Nesstar 200801
com_sec_cc.NSDstat
Community Questionnaire - Section CC: Investment Projects
5824
9
Nesstar 200801
com_sec_cd.NSDstat
Community Questionnaire - Section CD: Land
416
36
Nesstar 200801
com_sec_ce.NSDstat
Community Questionnaire - Section CE: Demographics, Land & Livestock
416
40
Nesstar 200801
com_sec_cf.NSDstat
Community Questionnaire - Section CF: Market Prices
21632
9
Nesstar 200801
com_sec_cf_id.NSDstat
Community Questionnaire - Section CF - Location
391
24
Nesstar 200801
com_sec_cg.NSDstat
Community Questionnaire - Section CG: Local Units
9984
11
Nesstar 200801
hh_filters.NSDstat
Household Questionnaire - Filters
3352
9
Nesstar 200801
hh_sec_a.NSDstat
Household Questionnaire - Section A-1 : Household Identification
Section A-2: Survey Staff Details
3352
57
Nesstar 200801
hh_sec_b.NSDstat
Household Questionnaire - Section B: Household Member Roster
16285
44
Nesstar 200801
hh_sec_c.NSDstat
Household Questionnaire - Section C: Education
16285
42
Nesstar 200801
hh_sec_d.NSDstat
Household Questionnaire - Section D: Health
16285
62
Nesstar 200801
hh_sec_e.NSDstat
Household Questionnaire - Section E: Labour
16285
74
Nesstar 200801
hh_sec_f.NSDstat
Household Questionnaire - Section F: Food outside the Household
16285
18
Nesstar 200801
hh_sec_g.NSDstat
Household Questionnaire - Section G: Subjective Welfare & Crime
16285
20
Nesstar 200801
hh_sec_h.NSDstat
Household Questionnaire - Section H: Food Security
3352
59
Nesstar 200801
hh_sec_i.NSDstat
Household Questionnaire - Section I: Housing, Water & Sanitation
3352
41
Nesstar 200801
hh_sec_j1.NSDstat
Household Questionnaire - Section J: Consumption of Food over Past One Week
201120
14
Nesstar 200801
hh_sec_j3.NSDstat
Household Questionnaire - Section J: Consumption of Food over Past One Week
33511
4
Nesstar 200801
hh_sec_j4.NSDstat
Household Questionnaire - Section J: Consumption of Food over Past One Week
13405
5
Nesstar 200801
hh_sec_k.NSDstat
Household Questionnaire - Section K: Non-Food Expenditure – Past one week and one month
87152
5
Nesstar 200801
hh_sec_l.NSDstat
Household Questionnaire - Section : L: Non-Food Expenditure – Past twelve months
87152
6
Nesstar 200801
hh_sec_m.NSDstat
Household Questionnaire - Section M: Household Assets
177656
7
Nesstar 200801
hh_sec_n.NSDstat
Household Questionnaire - Section N: Family/Household Non-Farm Enterprises
3823
40
Nesstar 200801
hh_sec_o1.NSDstat
Household Questionnaire - Section O: Assistance and Groups
20112
13
Nesstar 200801
hh_sec_o2.NSDstat
Household Questionnaire - Section O: Assistance and Groups
3358
17
Nesstar 200801
hh_sec_p.NSDstat
Household Questionnaire - Section P: Credit
3416
15
Nesstar 200801
hh_sec_q1.NSDstat
Household Questionnaire - Section Q: Finance
3352
33
Nesstar 200801
hh_sec_q2.NSDstat
Household Questionnaire - Section Q: Finance
3903
23
Nesstar 200801
hh_sec_r.NSDstat
Household Questionnaire - Section R: Recent Shocks to Household Welfare
56984
8
Nesstar 200801
hh_sec_s.NSDstat
Household Questionnaire - Section S: Deaths in Household
3357
20
Nesstar 200801
hh_sec_u2.NSDstat
Household Questionnaire - Section U-2: Filter Questions
3352
13
Nesstar 200801
hh_sec_v.NSDstat
Household Questionnaire - Section V: Anthropometry
16285
12
Nesstar 200801
lf_filters.NSDstat
Livestock and Fisheries Questionnaire - Filters
3352
7
Nesstar 200801
lf_network.NSDstat
Livestock and Fisheries Questionnaire - Network Roster
3664
6
Nesstar 200801
lf_sec_01.NSDstat
Livestock and Fisheries Questionnaire - Section 1: Household Roste
10332
7
Nesstar 200801
lf_sec_02.NSDstat
Livestock and Fisheries Questionnaire - Section 2. Livestock Stock
23798
43
Nesstar 200801
lf_sec_03.NSDstat
Livestock and Fisheries Questionnaire - Section 3. Animal Health
10167
23
Nesstar 200801
lf_sec_04.NSDstat
Livestock and Fisheries Questionnaire - Section 4. Feed, Water, Housing, Breeding
10167
28
Nesstar 200801
lf_sec_05.NSDstat
Livestock and Fisheries Questionnaire - Section 5. Livestock Labour
10160
25
Nesstar 200801
lf_sec_06.NSDstat
Livestock and Fisheries Questionnaire - Section 6. Milk
10167
20
Nesstar 200801
lf_sec_07.NSDstat
Livestock and Fisheries Questionnaire - Section 7. Animal Power and Dung
10167
11
Nesstar 200801
lf_sec_08.NSDstat
Livestock and Fisheries Questionnaire - Section 8. Other Livestock Products
6077
15
Nesstar 200801
lf_sec_09.NSDstat
Livestock and Fisheries Questionnaire - Section 9. Fishery- Household Labour
3387
12
Nesstar 200801
lf_sec_11a.NSDstat
Livestock and Fisheries Questionnaire - Section 11. Fishing Inputs
5107
11
Nesstar 200801
lf_sec_11b.NSDstat
Livestock and Fisheries Questionnaire - Section 11. Fishing Inputs
4972
6
Nesstar 200801
lf_sec_12.NSDstat
Livestock and Fisheries Questionnaire - Section 12. Fisheries Output
3419
42
Nesstar 200801
lf_sec_13a.NSDstat
Livestock and Fisheries Questionnaire - Section 13. Fish Trading
3394
21
Nesstar 200801
lf_sec_13b.NSDstat
Livestock and Fisheries Questionnaire - Section 13. Fish Trading
3817
5
Nesstar 200801
lf_sec_a.NSDstat
Livestock and Fisheries Questionnaire - Section A- 1. Household Identification
3352
32
Nesstar 200801
npsy4.child.anthro.NSDstat
Child Anthropometric data
2772
9
Nesstar 200801
npsy4.ea.offset.NSDstat
419
5
Nesstar 200801
LF_SEC_10.NSDstat
Livestock and Fisheries Questionnaire - Section 10
3360
19
Nesstar 200801
consumptionNPS4.NSDstat
Consumption data
3344
45
Nesstar 200801
Case Section Roster / Line Occurrence Sequence for O/S Merge
3352
0
1
1
1
3352
Unique Household Identification NPS Y4
3352
0
Did you or anyone in this household own or cultivate any plots in the long rainy
2096
1256
1
2
1
yes
2089
2
no
7
Sysmiss
1256
What year was the last completed short rainy season?
2097
1255
1
2
1
SHORT RAINY SEASON 2013
1452
2
SHORT RAINY SEASON 2014
645
Sysmiss
1255
In addition to the plots above, did you or anyone in your household own or culti
2097
1255
1
2
1
yes
15
2
no
2082
Sysmiss
1255
Did the household process any of the products harvested on the farm in the last
2088
1264
1
2
1
yes
1734
2
no
354
Sysmiss
1264
Case Section Roster / Line Occurrence Sequence for O/S Merge
5962
1250
1
12
1
2102
2
1568
3
1044
4
594
5
318
6
160
7
81
8
47
9
26
10
14
11
6
12
2
Sysmiss
1250
Unique Household Identification NPS Y4
7212
0
Network ID
5792
0
N01
1932
N02
1568
N03
1044
N04
594
N05
318
N06
160
N07
81
N08
47
N09
26
N10
14
N11
6
N12
2
Name of Contact
5792
0
**CONFIDENTIAL**
5792
Network Relationship with HH
5792
1420
1
20
1
relative
733
2
neighbor
926
3
friend
330
4
market
389
5
OPEN MARKET
272
6
COOPERATIVE UNION
120
7
FARMERS PARTY
68
8
MAIN PLOT/FARM
59
9
PRIVATE BUSINESS PERSON
1715
10
MAIN MARKET
38
11
BUSINESS CONTACT
5
12
ABATTORI/FACTORY
27
13
employer
13
14
RELIGIOUS INSTITUTION
7
15
BANK (COMMERCIAL)
1
16
GROCERY/LOCAL MERCHANT
648
17
MONEY LENDER
1
18
ngo
2
19
DISTRIBUTION OFFICER
71
20
OTHER (SPECIFY)
367
Sysmiss
1420
Network Location
5792
1420
1
6
1
WITHIN THE VILLAGE
3677
2
NEAR THE VILLAGE
1278
3
NEAR THE TOWN
370
4
OTHER DISTRICT
265
5
OTHER REGION
170
6
ACROSS THE BORDER
32
Sysmiss
1420
Case Section Roster / Line Occurrence Sequence for O/S Merge
11163
1252
1
33
Unique Household Identification NPS Y4
12415
0
Individual ID
11160
1255
1
33
Name
11160
0
**CONFIDENTIAL**
11160
Age
11160
1255
0
100
Sex
11160
1255
1
2
1
male
5458
2
female
5702
Sysmiss
1255
MARK WITH 'X' THE RESPONDENT OR RESPONDENTS TO THIS QUESTIONNAIRE
2623
0
X
2623
Case Section Roster / Line Occurrence Sequence for O/S Merge
5537
0
1
13
1
3352
2
1280
3
562
4
198
5
81
6
35
7
14
8
6
9
4
10
2
11
1
12
1
13
1
Unique Household Identification NPS Y4
5537
0
Plot Code
4275
0
M1
2090
M10
2
M11
1
M12
1
M13
1
M2
1280
M3
562
M4
198
M5
81
M6
35
M7
14
M8
6
M9
4
Plot Name
4275
0
**CONFIDENTIAL**
4275
Description / Location
4275
1262
1
1
1
yes
4275
2
no
0
Sysmiss
1262
Area (Acres)
4275
1262
0
250
PLOT NO. IN 2012/2013 NPS
4275
0
99
4266
M1
5
M2
2
M3
1
M4
1
Plot GPS Latitude Degree (South)
5537
0
**CONFIDENTIAL**
5537
Plot GPS Latitude Minute Decimal (South)
5537
0
**CONFIDENTIAL**
5537
Plot GPS Longitude Degree (East)
5537
0
**CONFIDENTIAL**
5537
Plot GPS Longitude Minute Decimal (East)
5537
0
**CONFIDENTIAL**
5537
Plot Measured ?
4272
1265
1
2
1
yes
2920
2
no
1352
Sysmiss
1265
Why was the plot not measured?
1350
4187
1
3
1
TOO FAR
705
2
refused
258
3
OTHER (SPECIFY)
387
Sysmiss
4187
Area (Acres) - GPS Measurement
2919
2618
0
187.39
Weather conditions at measurement?
2919
2618
1
6
1
CLEAR/SUNNY
669
2
MOSTLY CLEAR/MOSTLY SUNNY
540
3
PARTLY CLOUDY/PARTLY SUNNY
1275
4
MOSTLY CLOUDY/CONSIDERABLE CLOUDNESS
295
5
COMPLETELY CLOUDY
92
6
rainy
48
Sysmiss
2618
Case Section Roster / Line Occurrence Sequence for O/S Merge
3353
0
1
2
1
3352
2
1
Unique Household Identification NPS Y4
3353
0
Plot Code
16
0
V1
15
V2
1
Plot Name
16
0
**CONFIDENTIAL**
16
Description / Location
16
3337
1
1
1
yes
16
2
no
0
Sysmiss
3337
Area (Acres)
16
3337
0.1
10
0.100000001490116
1
0.200000002980232
1
0.5
5
1
3
1.5
2
2
3
10
1
Sysmiss
3337
PLOT NO. IN 2013/ 2014 NPS.
16
0
99
16
GPS Latitude (Degree)
3353
0
**CONFIDENTIAL**
3353
GPS Latitude (Minute Decimal)
3353
0
**CONFIDENTIAL**
3353
GPS Longitude (Degree)
3353
0
**CONFIDENTIAL**
3353
GPS Longitude (Minute Decimal)
3353
0
**CONFIDENTIAL**
3353
Plot Measured?
16
3337
1
2
1
yes
4
2
no
12
Sysmiss
3337
Why was plot not measured?
12
3341
1
3
1
TOO FAR
3
2
refused
4
3
other
5
Sysmiss
3341
Area (Acres) - GPS Measurement
4
3349
0.7
22.32
Weather conditions at measurement?
4
3349
1
3
1
CLEAR/ SUNNY
1
2
MOSTLY CLEAR / MOSTLY SUNNY
0
3
PARTLY CLOUDY / PARTLY SUNNY
3
4
MOSTLY CLOUDY / CONSIDERABLE CLOUDINESS
0
5
COMPLETELY CLOUDY
0
6
rainy
0
Sysmiss
3349
Case Section Roster / Line Occurrence Sequence for O/S Merge
5537
0
1
13
1
3352
2
1280
3
562
4
198
5
81
6
35
7
14
8
6
9
4
10
2
11
1
12
1
13
1
Unique Household Identification NPS Y4
5537
0
PLOT NUMBER
4275
0
M1
2090
M10
2
M11
1
M12
1
M13
1
M2
1280
M3
562
M4
198
M5
81
M6
35
M7
14
M8
6
M9
4
LIST ALL PLOTS OWNED OR CULTIVATED BY THE HOUSEHOLD IN MASIKA 2014
4275
0
**CONFIDENTIAL**
4275
What is the distance from [PLOT] to: HOME KM
4275
1262
0
940
What is the distance from [PLOT] to: ROAD KM
4275
1262
0
120
What is the distance from [PLOT] to: MARKET KM
4275
1262
0
250
How did you use this plot during the long rainy season 2014?
4275
1262
1
6
1
cultivated
3930
2
RENTED OUT
31
3
GIVEN OUT
31
4
fallow
204
5
forest
44
6
OTHER (SPECIFY)
35
Sysmiss
1262
What was the total income from renting out this plot during the long rainy seaso
31
5506
10000
15000000
What was the main crop cultivated on this plot in long rainy season 2014 (NAME)?
3930
0
ALIZETI
41
BAMIA
8
BOGA
3
CHAI
4
CHOROKO
6
DENGU
10
EMBE
37
FIWI
5
ILIKI
2
KAHAWA
35
KAKAO
1
KARAFUU
4
KARANGA
79
KAROTI
3
KISAMVU
1
KOROSHO
100
KUNDE
7
MACHUNGWA
15
MAGIMBI
15
MAHARAGE
170
MAHINDI
1750
MAIDINI
1
MAPERA
1
MATANGO
2
MATEMBELE
5
MATOPETOPE
1
MBAAZI
20
MBOGAMBOGA
1
MCHENZA
1
MCHICHA
4
MHOGO
354
MIBUNI
2
MIDIM
1
MIGOMBA
209
MIHOGO
1
MILIMAU
1
MIPAINA
1
MIPINE
1
MITI MBAO
3
MITI YA KUNI
1
MITI YA MBAO
30
MITIKI
1
MIWA
7
MPERA
1
MPESHENI
1
MPUMGA
1
MPUNGA
428
MTAMA
104
MUHOGO
3
MWANI
3
NANASI
12
NAZI
21
NDIZI
34
NGANO
5
NJUGU MAWE
14
NYANYA
15
NYANYA CHUNGU
1
PAINA
1
PAMBA
100
PAPAI
4
PARACHICHI
4
PILIPILI HOHO
1
SALADI
1
STAFELI
1
TANGAWIZI
1
TIKITI MAJI
2
TUMBAKU
30
UFUTA
66
ULEZI
9
UWELE
5
VIAZI MVIRINGO
23
VIAZI VIKUU
4
VIAZI VITAMU
86
VITUNGUU
5
What was the main crop cultivated on this plot in long rainy season 2014 (CODE)?
3930
1607
11
998
11
maize
1753
12
paddy
429
13
sorghum
103
14
BULRUSH MILLET
5
15
FINGER MILLET
9
16
wheat
5
17
barley
0
18
BLACK PEPPER
0
19
seaweed
3
21
cassava
355
22
SWEET POTATOES
88
23
IRISH POTATOES
23
24
yams
4
25
cocoyams
15
26
onions
5
27
ginger
1
31
beans
170
32
cowpeas
7
33
GREEN GRAM
6
34
PIGEON PEA
20
35
CHICK PEAS
10
36
BAMBARA NUTS
14
37
FIELD PEAS
0
38
MALAY APPLE
0
39
STAR FRUIT
0
41
sunflower
40
42
sesame
66
43
groundnut
80
44
PALM OIL
0
45
coconut
21
46
CASHEW NUT
101
47
soyabeans
0
48
CASTER SEED
0
50
cotton
102
51
tobacco
26
52
pyrethrum
0
53
sisal
0
54
coffee
38
55
tea
4
56
cocoa
1
57
rubber
0
58
wattle
0
59
kapok
0
60
SUGAR CANE
7
61
cardamom
2
62
jute
0
63
tamarind
0
64
cinnamon
0
65
nutmeg
0
66
clove
4
67
BREAD FRUIT
0
68
pomelo
0
69
JACK FRUIT
0
70
PASSION FRUIT
1
71
banana
242
72
avocado
4
73
mango
37
74
papaw
4
75
pineapple
12
76
orange
15
77
grapefruit
0
78
grapes
0
79
mandarin
1
80
guava
2
81
plums
0
82
apples
0
83
pears
0
84
peaches
0
86
cabbage
0
87
tomatoes
15
88
spinach
0
89
carrot
3
90
chilies
1
91
amaranths
5
92
pumpkins
3
93
cucumber
2
94
EGG PLANT
0
95
WATER MELLON
2
96
cauliflower
0
97
durian
0
98
bilimbi
0
99
rambutan
0
100
okra
8
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
0
303
FIREWOOD/FODDER
1
304
timber
38
305
MEDICINAL PLANT
0
306
FENCE TREE
0
851
lime
1
852
lemon
1
998
OTHER (SPECIFY)
9
Sysmiss
1607
Who decided what to plant on this plot in the long rainy season 2014? (ID #1)
3930
1607
1
7
1
3739
2
155
3
22
4
6
5
3
6
3
7
2
Sysmiss
1607
Who decided what to plant on this plot in the long rainy season 2014? (ID #2)
2046
3491
1
9
1
12
2
1989
3
27
4
8
5
7
6
2
9
1
Sysmiss
3491
Who decided what to plant on this plot in the long rainy season 2014? (ID #3)
74
5463
2
10
2
2
3
61
4
5
5
2
8
1
10
3
Sysmiss
5463
Who decided what to plant on this plot in the long rainy season 2014? (NR ID)
41
0
N01
36
N02
3
N03
1
N05
1
Who made decisions about input use for plot in long rainy season 2014? (ID#1)
3928
1609
1
7
1
3706
2
185
3
23
4
7
5
2
6
3
7
2
Sysmiss
1609
Who made decisions about input use for plot in long rainy season 2014? (ID#2)
1974
3563
1
8
1
17
2
1916
3
24
4
5
5
8
6
1
8
3
Sysmiss
3563
Who made decisions about input use for plot in long rainy season 2014? (ID#3)
59
5478
3
10
3
50
4
3
5
1
7
1
8
1
10
3
Sysmiss
5478
Who made decisions about input use for plot in long rainy season 2014? (NR ID)
1
5536
3
3
3
1
Sysmiss
5536
What was the soil type of this plot?
3992
1545
1
4
1
sandy
614
2
loam
2511
3
clay
733
4
OTHER (SPECIFY)
134
Sysmiss
1545
What was the soil quality of this plot?
3992
1545
1
3
1
good
1694
2
average
2004
3
bad
294
Sysmiss
1545
How do you know the quality of the soil?
3992
1545
1
3
1
SCIENTIFICALLY TESTED
10
2
OWN EXPERIENCE
3323
3
OTHER (SPECIFY)
659
Sysmiss
1545
Were there any problems with erosion on this plot in the long rainy season 2014?
3992
1545
1
2
1
yes
554
2
no
3438
Sysmiss
1545
What was the cause of these erosion problems?
554
4983
1
5
1
wind
5
2
rain
542
3
animals
4
4
CULTIVATION WHICH DOES NOT COMPLY WITH SOIL CONSERVATIO
0
5
OTHER (SPECIFY)
3
Sysmiss
4983
Was there any erosion control/water harvesting facility on this plot in the last
3991
1546
1
2
1
yes
481
2
no
3510
Sysmiss
1546
What type of erosion control/water harvesting facility was on plot? (1st)
480
5057
1
7
1
terraces
192
2
EROSION CONTROL BUNDS
99
3
GABIONS/SANDBAGS
2
4
VETIVER GRASS
12
5
TREE BELTS
24
6
WATER HARVEST BUNDS
86
7
DRAINAGE DITCHES
65
8
dam
0
Sysmiss
5057
What type of erosion control/water harvesting facility was on plot? (2nd)
15
5522
1
7
1
terraces
7
2
EROSION CONTROL BUNDS
0
3
GABIONS/SANDBAGS
0
4
VETIVER GRASS
1
5
TREE BELTS
0
6
WATER HARVEST BUNDS
4
7
DRAINAGE DITCHES
3
8
dam
0
Sysmiss
5522
How steep is the slope of this plot?
3992
1545
1
4
1
FLAT BOTTOM
2687
2
FLAT TOP
196
3
SLIGHTLY SLOPED
979
4
VERY STEEP
130
Sysmiss
1545
Was this plot irrigated in the long rainy season 2014?
3992
1545
1
2
1
yes
80
2
no
3912
Sysmiss
1545
What was the type of irrigation?
80
5457
1
6
1
flooding
47
2
sprinkler
1
3
DRIP IRRIGATION
0
4
BUCKET/WATERING CAN
23
5
WATER HOSE
5
6
OTHER (SPECIFY)
4
Sysmiss
5457
What was the method of obtaining water?
80
5457
1
5
1
gravity
46
2
HAND BUCKET
21
3
HAND/FOOT PUMP
2
4
MOTOR PUMP
9
5
OTHER (SPECIFY)
2
Sysmiss
5457
What was the source of water?
80
5457
1
5
1
well
11
2
borehole
3
3
POND/TANK
13
4
RIVER/STREAM
49
5
OTHER (SPECIFY)
4
Sysmiss
5457
What was the most recent year in which the plot was left fallow?
4027
1510
0
2014
0
never
3809
98
DON'T KNOW
80
1987
1
1998
1
2003
1
2004
1
2005
2
2006
1
2007
2
2008
3
2009
4
2010
11
2011
15
2012
44
2013
49
2014
3
Sysmiss
1510
For how many consecutive years was this plot left fallow this last time?
341
5196
1
15
1
207
2
77
3
27
4
12
5
10
6
2
8
2
9
1
10
1
14
1
15
1
Sysmiss
5196
What would the value of this plot be if it were sold today?
4274
1263
0
8000000000
How was this plot acquired?
4275
1262
1
11
1
inheritance
1385
2
gift
398
3
BORROWING FROM FAMILY MEMBER
62
4
LAND ALLOCATION FROM VILLAGE COUNCIL
63
5
purchased
1259
6
USED FREE OF CHARGE
514
7
RENTED IN
393
8
SHARED - RENT
0
9
SHARED - OWN
21
10
SQUATTING, CLEARING
170
11
OTHER, SPECIFY
10
Sysmiss
1262
With whom do you co-own this plot? (NR ID #1)
21
0
N01
20
N03
1
What share does your household get of the output?
21
5516
1
6
1
nothing
7
2
ALMOST NOTHING
0
3
ONE QUARTER
1
4
half
3
5
THREE QUARTERS
0
6
ALMOST ALL
10
Sysmiss
5516
What type of legal certificate does your household have for this plot?
3063
2474
1
3
1
GRANTED RIGHT OF OCCUPANCY
103
2
CERTIFICATE OF CUSTOMARY RIGHTS OF OCCUPANCY
123
3
NO CERTIFICATE
2837
Sysmiss
2474
Would you like to apply for a CCRO/GRO for this plot?
2838
2699
1
2
1
yes
2546
2
no
292
Sysmiss
2699
Would you be willing to pay for legal certification?
2546
2991
1
2
1
yes
2187
2
no
359
Sysmiss
2991
What other types of ownership or legal documents does your household have for th
3063
2474
1
8
1
VILLAGE-GOVERNMENT-WITNESSED PURCHASE AGREEMENT
238
2
LOCAL-COURT-CERTIFIED PURCHASE AGREEMENT
21
3
INHERITANCE LETTER
57
4
LETTER OF ALLOCATION FROM VILLAGE GOV'T
217
5
OTHER GOVERNMENT DOCUMENT
25
6
OFFICIAL CORRESPONDENCE
20
7
UTILITY OR OTHER BILL
33
8
NO DOCUMENTATION
2452
Sysmiss
2474
Who in the household owns this plot? (ID #1)
3060
2477
1
14
1
2970
2
73
3
3
4
7
5
1
6
2
7
1
11
1
14
2
Sysmiss
2477
Who in the household owns this plot? (ID #2)
1110
4427
1
12
1
6
2
1086
3
9
4
1
6
3
7
1
9
2
12
2
Sysmiss
4427
Did the owner/household have the right to sell this plot or use it as collateral
3063
2474
1
2
1
yes
2412
2
no
651
Sysmiss
2474
Who in household can decide whether to sell/use plot as collateral? (ID#1)
2412
3125
1
14
1
2344
2
57
3
3
4
2
5
1
6
2
11
1
14
2
Sysmiss
3125
Who in household can decide whether to sell/use plot as collateral? (ID#2)
850
4687
1
12
1
9
2
830
3
9
12
2
Sysmiss
4687
If you were to sell this plot, do you need approval from other parties to sell i
2412
3125
1
2
1
462
2
1950
Sysmiss
3125
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 last completed
455
5082
0
1000000
What period of time did this payment cover? (NO. UNITS)
385
5152
1
12
1
246
2
14
3
7
4
7
5
3
6
38
7
5
8
17
9
1
10
2
12
45
Sysmiss
5152
What period of time did this payment cover? (UNITS)
385
5152
1
2
1
months
125
2
years
260
Sysmiss
5152
What share of output from this plot did you give as rent, if any, in the last co
454
5083
1
4
1
none
438
2
ALMOST NONE
6
3
ABOUT 25%
9
4
ABOUT 50%
1
5
ABOUT 75%
0
6
ALMOST ALL
0
Sysmiss
5083
Who owns the plot? (NR ID #1)
1212
0
N01
973
N02
148
N03
47
N04
23
N05
15
N06
2
N07
3
N10
1
Who in the household has the rights to use this plot? (ID #1)
1214
4323
1
8
1
1129
2
61
3
13
4
4
5
2
6
3
7
1
8
1
Sysmiss
4323
Who in the household has the rights to use this plot? (ID #2)
531
5006
1
9
1
15
2
504
3
7
4
2
6
1
8
1
9
1
Sysmiss
5006
In which year was the plot acquired?
3062
2475
1900
2015
Did you have any land dispute or disagreement with anyone over this plot in the
3063
2474
1
2
1
yes
127
2
no
2936
Sysmiss
2474
Would you feel comfortable leaving this plot uncultivated for several months wit
4275
1262
1
2
1
yes
3353
2
no
922
Sysmiss
1262
DID THE HOUSEHOLD CULTIVATE THIS PLOT IN THE LONG RAINY SEASON 2014?
4275
1262
1
2
1
yes
3912
2
no
363
Sysmiss
1262
Did you use any ORGANIC FERTILIZER on [PLOT] in the long rainy season 2014?
3918
1619
1
2
1
yes
478
2
no
3440
Sysmiss
1619
What was the quantity of organic fertilizer used?
478
5059
0
12000
Was any of this purchased?
478
5059
1
2
1
yes
51
2
no
427
Sysmiss
5059
How much was purchased?
51
5486
18
15000
What was the total value of organic fertilizer purchased?
51
5486
2000
250000
Where did you buy most of the organic fertilizer? (NR ID #1)
51
0
N01
31
N02
15
N03
4
N06
1
Where did you buy most of the organic fertilizer? (NR ID #2)
1
0
N03
1
Did you use any INORGANIC FERTILIZER on [PLOT] in the long rainy season 2014?
3918
1619
1
2
1
yes
468
2
no
3450
Sysmiss
1619
What is the first type of INORGANIC FERTILIZER you used on this plot?
468
5069
1
8
1
DI-AMMOIUM PHOSPHATE (DAP)
109
2
urea
218
3
TRIPLE SUPER PHOSPHATE (TSP)
9
4
CALCIUM AMMONIUM NITRATE (CAN)
55
5
SULPHATE OF AMMONIUM (SA)
19
6
NITROGEN PHOSPHATE POTASSIUM (NPK)
49
7
MINJINGU ROCK PHOSPHATE (MRP)
8
8
OTHER, SPECIFY
1
Sysmiss
5069
What quantity of [FERTILIZER] did you use?
467
5070
1
50000
Did you receive a voucher/ certificate for any of this [FERTILIZER]?
468
5069
1
2
1
yes
59
2
no
409
Sysmiss
5069
What was the total value of [FERTILIZER] purchased?
468
5069
0
2480000
Why did you choose to use this specific type of inorganic fertilizer?
468
5069
1
5
1
ADVICE BY AGRICULTURAL OFFICER
125
2
RECEIVED VOUCHER
24
3
OWN EXPERIENCE
271
4
NEIGHBOUR ADVICE
29
5
OTHER (SPECIFY)
19
Sysmiss
5069
Where did you buy most of the [FERTILIZER]? (NR ID #1)
468
0
N01
309
N02
127
N03
25
N04
3
N05
4
Did you use a second type of INORGANIC FERTILIZER on [PLOT] in the long rainy se
468
5069
1
2
1
yes
169
2
no
299
Sysmiss
5069
What is the second type of INORGANIC FERTILIZER you used on this plot?
169
5368
1
8
1
DI-AMMOIUM PHOSPHATE (DAP)
6
2
urea
72
3
TRIPLE SUPER PHOSPHATE (TSP)
4
4
CALCIUM AMMONIUM NITRATE (CAN)
63
5
SULPHATE OF AMMONIUM (SA)
11
6
NITROGEN PHOSPHATE POTASSIUM (NPK)
10
7
MINJINGU ROCK PHOSPHATE (MRP)
1
8
OTHER, SPECIFY
2
Sysmiss
5368
What quantity of [FERTILIZER] did you use?
169
5368
1
600
Did you receive a voucher/certificate for any of this [FERTILIZER]?
169
5368
1
2
1
yes
27
2
no
142
Sysmiss
5368
What was the total value of [FERTILIZER] purchased?
169
5368
0
630000
Where did you buy most of the [FERTILIZER]? (NR ID #1)
169
0
N01
100
N02
49
N03
12
N04
5
N05
3
Where did you buy most of the [FERTILIZER]? (NR ID #2)
0
0
Did you use any additional inorganic fertilizer?
169
5368
1
2
1
Yes
31
2
No
138
Sysmiss
5368
Did you use any herbicide on [PLOT] in the long rainy season 2014?
3918
1619
1
2
1
yes
124
2
no
3794
Sysmiss
1619
What quantity of this herbicide did you use? (Quantity)
124
5413
1
1500
What quantity of this herbicide did you use? (Unit)
124
5413
1
4
1
kg
13
2
litre
87
3
millilitre
23
4
OTHER (SPECIFY)
1
Sysmiss
5413
What was the total value of this herbicide purchased?
124
5413
1000
266000
Why did you choose to use this specific type of pesticide/herbicide?
124
5413
1
5
1
ADVICE BY AGRICULTURAL OFFICER
41
2
RECEIVED VOUCHER
4
3
OWN EXPERIENCE
68
4
NEIGHBOUR ADVICE
10
5
OTHER (SPECIFY)
1
Sysmiss
5413
Where did you buy most of the pesticides/ herbicides? (NR ID #1)
124
0
N01
69
N02
38
N03
13
N05
3
N06
1
Did you use any pesticide on [PLOT] in the long rainy season 2014?
3917
1620
1
2
1
yes
407
2
no
3510
Sysmiss
1620
What quantity of this pesticide did you use? AMOUNT
407
5130
1
5000
What quantity of this pesticide did you use? UNIT
407
5130
1
4
1
kg
68
2
litre
117
3
millilitre
203
4
OTHER,SPECIFY
19
Sysmiss
5130
What was the total value of this pesticide purchased?
407
5130
0
270000
Why did you choose to use this specific type of pesticide?
407
5130
1
5
1
ADVICE BY AGRICULTURAL OFFICER
145
2
RECEIVED VOUCHER
13
3
OWN EXPERIENCE
206
4
NEIGHBOUR ADVICE
30
5
OTHER, SPECIFY
13
Sysmiss
5130
Where did you buy most of the pesticides? (NR ID #1)
406
0
N01
194
N02
144
N03
47
N04
7
N05
9
N06
2
N07
2
N08
1
Did you receive any seeds, fertilizers, pesticides or herbicides for [PLOT] on c
3917
1620
1
2
1
yes
52
2
no
3865
Sysmiss
1620
What were the types of input you received on credit? (#1)
52
5485
1
4
1
seeds
22
2
ORGANIC FERTILIZER
25
3
INORGANIC FERTILIZER
0
4
PESTICIDES/HERBICIDES
5
Sysmiss
5485
What were the types of input you received on credit? (#2)
26
5511
1
4
1
seeds
2
2
ORGANIC FERTILIZER
9
3
INORGANIC FERTILIZER
1
4
PESTICIDES/HERBICIDES
14
Sysmiss
5511
What were the types of input you received on credit? (#3)
4
5533
4
4
1
seeds
0
2
ORGANIC FERTILIZER
0
3
INORGANIC FERTILIZER
0
4
PESTICIDES/HERBICIDES
4
Sysmiss
5533
What were the types of input you received on credit? (#4)
0
5537
1
seeds
0
2
ORGANIC FERTILIZER
0
3
INORGANIC FERTILIZER
0
4
PESTICIDES/HERBICIDES
0
Sysmiss
5537
How much did you pay up front for these inputs?
52
5485
0
15000
How much did you repay in cash later on for the inputs?
52
5485
0
3600000
How much did you repay in kind later on for the inputs? (Quantity)
52
5485
0
350
How much did you repay in kind later on for the inputs? (Code)
51
5486
1
3
1
THIS CROP (KGs)
13
2
LABOR (DAYS)
0
3
OTHER (SPECIFY)
38
Sysmiss
5486
From whom did you receive these inputs on credit? (NR ID #1)
52
0
N01
22
N02
19
N03
7
N04
4
From whom did you receive these inputs on credit? (NR ID #2)
0
0
Did you use any mechanization on this plot in the long rainy season 2014?
3918
1619
1
2
1
yes
200
2
no
3718
Sysmiss
1619
Did you use any animal traction on this plot in the long rainy season 2014?
3916
1621
1
2
1
yes
1174
2
no
2742
Sysmiss
1621
How many days did [NAME] spend on (Land preparation and planting) (ID #1)
3839
1698
0
21
How many days did [NAME] spend on (Land preparation and planting) (ID #1 Days)
3836
1701
0
90
How many days did [NAME] spend on (Land preparation and planting) (ID #2)
2941
2596
0
21
How many days did [NAME] spend on (Land preparation and planting) (ID #2 Days)
2935
2602
0
65
How many days did [NAME] spend on (Land preparation and planting) (ID #3)
1622
3915
0
17
0
1
1
4
2
2
3
1297
4
181
5
51
6
22
7
27
8
15
9
6
10
11
11
2
16
1
17
2
Sysmiss
3915
How many days did [NAME] spend on (Land preparation and planting) (ID #3 Days)
1617
3920
0
60
How many days did [NAME] spend on (Land preparation and planting) (ID #4)
1039
4498
4
18
4
790
5
117
6
70
7
21
8
15
9
9
10
5
11
8
13
2
18
2
Sysmiss
4498
How many days did [NAME] spend on (Land preparation and planting) (ID #4 Days)
1039
4498
0
60
How many days did [NAME] spend on (Land preparation and planting) (ID #5)
587
4950
1
19
1
3
4
5
5
383
6
82
7
31
8
16
9
20
10
23
11
11
12
3
13
1
14
2
16
1
17
2
19
4
Sysmiss
4950
How many days did [NAME] spend on (Land preparation and planting) (ID #5 Days)
587
4950
0
60
How many days did [NAME] spend on (Land preparation and planting) (ID #6)
301
5236
1
20
1
5
5
4
6
159
7
33
8
27
9
11
10
18
11
15
12
6
13
11
14
6
18
1
19
3
20
2
Sysmiss
5236
How many days did [NAME] spend on (Land preparation and planting) (ID #6 Days)
301
5236
0
60
Days [NAME] spent on (Weeding, Ridging, Fertilizing, etc.) (ID #7)
3857
1680
0
30
Days [NAME] spent on (Weeding, Ridging, Fertilizing, etc.) (ID #7 Days)
3852
1685
0
90
Days [NAME] spent on (Weeding, Ridging, Fertilizing, etc.) (ID #8)
3038
2499
1
30
Days [NAME] spent on (Weeding, Ridging, Fertilizing, etc.) (ID #8 Days)
3032
2505
0
60
Days [NAME] spent on (Weeding, Ridging, Fertilizing, etc.) (ID #9)
1701
3836
2
30
Days [NAME] spent on (Weeding, Ridging, Fertilizing, etc.) (ID #9 Days)
1698
3839
0
60
Days [NAME] spent on (Weeding, Ridging, Fertilizing, etc.) (ID #10)
1067
4470
2
18
2
3
3
1
4
805
5
114
6
68
7
23
8
24
9
12
10
3
11
8
13
3
15
1
18
2
Sysmiss
4470
Days [NAME] spent on (Weeding, Ridging, Fertilizing, etc.) (ID #10 Days)
1066
4471
0
60
Days [NAME] spent on (Weeding, Ridging, Fertilizing, etc.) (ID #11)
620
4917
3
19
3
6
4
9
5
397
6
86
7
33
8
19
9
22
10
20
11
16
12
3
13
1
14
2
16
2
19
4
Sysmiss
4917
Days [NAME] spent on (Weeding, Ridging, Fertilizing, etc.) (ID #11 Days)
620
4917
0
60
Days [NAME] spent on (Weeding, Ridging, Fertilizing, etc.) (ID #12)
320
5217
1
20
1
6
5
2
6
160
7
42
8
27
9
14
10
22
11
12
12
7
13
11
14
3
17
2
18
1
19
9
20
2
Sysmiss
5217
Days [NAME] spent on (Weeding, Ridging, Fertilizing, etc.) (ID #12 Days)
320
5217
0
60
How many days did [NAME] spend on (Harvesting & Threshing) (ID #1)
3816
1721
0
30
How many days did [NAME] spend on (Harvesting & Threshing) (ID #1 Days)
3813
1724
0
60
How many days did [NAME] spend on (Harvesting & Threshing) (ID #2)
2988
2549
0
30
How many days did [NAME] spend on (Harvesting & Threshing) (ID #2 Days)
2978
2559
0
62
How many days did [NAME] spend on (Harvesting & Threshing) (ID #3)
1681
3856
0
30
How many days did [NAME] spend on (Harvesting & Threshing) (ID #3 Days)
1678
3859
0
60
How many days did [NAME] spend on (Harvesting & Threshing) (ID #4)
1051
4486
3
19
3
10
4
798
5
111
6
64
7
21
8
15
9
17
11
9
15
1
18
2
19
3
Sysmiss
4486
How many days did [NAME] spend on (Harvesting & Threshing) (ID #4 Days)
1050
4487
0
60
How many days did [NAME] spend on (Harvesting & Threshing) (ID #5)
596
4941
2
19
2
1
4
4
5
396
6
75
7
34
8
17
9
12
10
25
11
14
12
6
13
1
14
2
16
2
17
3
19
4
Sysmiss
4941
How many days did [NAME] spend on (Harvesting & Threshing) (ID #5 Days)
596
4941
0
60
How many days did [NAME] spend on (Harvesting & Threshing) (ID #6)
304
5233
1
20
1
6
5
3
6
158
7
32
8
31
9
14
10
12
11
12
12
5
13
16
14
3
18
1
19
6
20
5
Sysmiss
5233
How many days did [NAME] spend on (Harvesting & Threshing) (ID #6 Days)
304
5233
0
60
Typical number of hours per day worked by an individual on this plot (Land Prepa
3795
1742
0
13
0
328
1
85
2
143
3
273
4
577
5
687
6
924
7
260
8
296
9
77
10
114
11
13
12
17
13
1
Sysmiss
1742
Typical number of hours per day worked by an individual on this plot (Weeding)
3823
1714
0
15
0
147
1
105
2
191
3
319
4
612
5
667
6
938
7
295
8
318
9
88
10
120
11
7
12
14
14
1
15
1
Sysmiss
1714
Typical number of hours per day worked by an individual on this plot (Ridging, F
0
5537
Sysmiss
5537
Typical number of hours per day worked by an individual on this plot (Harvesting
3791
1746
0
32
Did you hire any labor to work on this plot in the long rainy season 2014?
3918
1619
1
2
1
yes
1451
2
no
2467
Sysmiss
1619
- Land preparation and planting (Women Days)
1447
4090
0
99
- Land preparation and planting (Men Days)
1450
4087
0
99
- Land preparation and planting (Child Days)
1443
4094
0
40
- Land preparation and planting (Total Wage Paid (TSH))
1446
4091
0
800000
- Weeding, Ridging, Fertilizing & Other Non-Harvest/Non-Planting (Women Days)
1447
4090
0
80
- Weeding, Ridging, Fertilizing & Other Non-Harvest/Non-Planting (Man Days)
1448
4089
0
80
- Weeding, Ridging, Fertilizing & Other Non-Harvest/Non-Planting (Child Days)
1444
4093
0
30
- Weeding, Ridging, Fertilizing & Other Non-Harvest/Non-Planting (Total Wage Pai
1446
4091
0
1000000
- Harvesting & Threshing (Women Days)
1448
4089
0
99
- Harvesting & Threshing (Men Days)
1449
4088
0
99
- Harvesting & Threshing (Child Days)
1446
4091
0
40
- Harvesting (Total Wage Paid (TSH))
1448
4089
0
1250000
WHEN WAS THE LAST SHORT RAINY SEASON?
4273
1264
1
2
1
OCT-DEC 2013
2973
2
OCT-DEC 2014
1300
Sysmiss
1264
Did you cultivate this plot in the short rainy season 2013?
2975
2562
1
2
1
yes
1085
2
no
1890
Sysmiss
2562
What was the main crop cultivated on this plot in the short rainy season 2013?
1085
4452
11
998
11
maize
326
12
paddy
7
13
sorghum
13
14
BULRUSH MILLET
0
15
FINGER MILLET
0
16
wheat
0
17
barley
0
18
BLACK PEPPER
0
19
seaweed
1
21
cassava
137
22
SWEET POTATOES
14
23
IRISH POTATOES
13
24
yams
2
25
cocoyams
1
26
onions
0
27
ginger
1
31
beans
55
32
cowpeas
4
33
GREEN GRAM
0
34
PIGEON PEA
1
35
CHICK PEAS
1
36
BAMBARA NUTS
0
37
FIELD PEAS
0
38
MALAY APPLE
0
39
STAR FRUIT
0
41
sunflower
1
42
sesame
1
43
groundnut
6
44
PALM OIL
0
45
coconut
26
46
CASHEW NUT
146
47
soyabeans
0
48
CASTER SEED
0
50
cotton
1
51
tobacco
1
52
pyrethrum
0
53
sisal
0
54
coffee
9
55
tea
1
56
cocoa
0
57
rubber
0
58
wattle
0
59
kapok
0
60
SUGAR CANE
6
61
cardamom
1
62
jute
0
63
tamarind
0
64
cinnamon
0
65
nutmeg
0
66
clove
3
67
BREAD FRUIT
0
68
pomelo
0
69
JACK FRUIT
0
70
PASSION FRUIT
0
71
banana
151
72
avocado
3
73
mango
54
74
papaw
7
75
pineapple
11
76
orange
18
77
grapefruit
0
78
grapes
0
79
mandarin
0
80
guava
2
81
plums
0
82
apples
0
83
pears
0
84
peaches
0
86
cabbage
0
87
tomatoes
11
88
spinach
0
89
carrot
2
90
chilies
0
91
amaranths
4
92
pumpkins
2
93
cucumber
1
94
EGG PLANT
2
95
WATER MELLON
0
96
cauliflower
0
97
durian
0
98
bilimbi
0
99
rambutan
0
100
okra
0
101
fiwi
1
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
0
303
FIREWOOD/FODDER
0
304
timber
28
305
MEDICINAL PLANT
0
306
FENCE TREE
0
851
lime
0
852
lemon
2
998
OTHER (SPECIFY)
7
Sysmiss
4452
Did you have use of this plot in the short rainy season 2013?
1888
3649
1
2
1
yes
1670
2
no
218
Sysmiss
3649
How did you acquire this plot for the long rainy season 2014?
218
5319
1
7
1
BOUGHT IT
13
2
inherited
3
3
STARTED RENTING/SHARECROPPING
128
4
CLEARED IT
5
5
DISTRIBUTED BY VILLAGE
2
6
RECEIVED AS GIFT
56
7
occupied
11
Sysmiss
5319
How did you use this plot during the short rainy season 2013?
1670
3867
1
5
1
rented
20
2
given
18
3
fallow
1099
4
forest
65
5
OTHER (SPECIFY)
468
Sysmiss
3867
Did you cultivate this plot in the short rainy season 2014?
1300
4237
1
2
1
yes
505
2
no
795
Sysmiss
4237
What was the main crop cultivated on this plot in the short rainy season 2014?
505
5032
11
998
11
maize
110
12
paddy
6
13
sorghum
2
14
BULRUSH MILLET
0
15
FINGER MILLET
0
16
wheat
0
17
barley
0
18
BLACK PEPPER
0
19
seaweed
0
21
cassava
112
22
SWEET POTATOES
4
23
IRISH POTATOES
0
24
yams
4
25
cocoyams
4
26
onions
1
27
ginger
0
31
beans
36
32
cowpeas
1
33
GREEN GRAM
0
34
PIGEON PEA
0
35
CHICK PEAS
0
36
BAMBARA NUTS
0
37
FIELD PEAS
1
38
MALAY APPLE
0
39
STAR FRUIT
0
41
sunflower
2
42
sesame
0
43
groundnut
1
44
PALM OIL
0
45
coconut
9
46
CASHEW NUT
48
47
soyabeans
0
48
CASTER SEED
0
50
cotton
0
51
tobacco
0
52
pyrethrum
0
53
sisal
0
54
coffee
11
55
tea
0
56
cocoa
0
57
rubber
0
58
wattle
0
59
kapok
0
60
SUGAR CANE
1
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
1
71
banana
86
72
avocado
2
73
mango
36
74
papaw
4
75
pineapple
0
76
orange
4
77
grapefruit
0
78
grapes
0
79
mandarin
1
80
guava
1
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
2
92
pumpkins
1
93
cucumber
0
94
EGG PLANT
0
95
WATER MELLON
2
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
9
305
MEDICINAL PLANT
0
306
FENCE TREE
0
851
lime
0
852
lemon
0
998
OTHER (SPECIFY)
1
Sysmiss
5032
Did you have use of this plot in the short rainy season 2014?
795
4742
1
2
1
yes
735
2
no
60
Sysmiss
4742
Why did you not have this plot (owned or cultivated) in the short rainy season 2
59
5478
1
6
1
SOLD IT
2
2
abandoned
7
3
taken
15
4
REDISTR BY VILLAGE
3
5
GIVEN AWAY
5
6
STOPPED RENTING/SHARECROPPING
27
Sysmiss
5478
How did you use this plot during the short rainy season 2014?
723
4814
1
5
1
rented
7
2
given
13
3
fallow
335
4
forest
71
5
OTHER (SPECIFY)
297
Sysmiss
4814
Case Section Roster / Line Occurrence Sequence for O/S Merge
5551
0
1
13
1
3352
2
1287
3
565
4
201
5
81
6
36
7
14
8
6
9
4
10
2
11
1
12
1
13
1
Unique Household Identification NPS Y4
5551
0
PLOT NUMBER
4291
0
M1
2090
M10
2
M11
1
M12
1
M13
1
M2
1280
M3
562
M4
198
M5
81
M6
35
M7
14
M8
6
M9
4
V1
15
V2
1
LIST ALL PLOTS OWNED OR CULTIVATED BY THE HOUSEHOLD IN MASIKA 2014
4291
0
**CONFIDENTIAL**
4291
ENUMERATOR: DID YOU ALREADY LIST THIS PLOT ABOVE IN 3A?
4291
1260
1
2
1
PLOT ALREADY LISTED IN 3A
4275
2
NEW PLOT IN 3B
16
Sysmiss
1260
What is the distance from [PLOT] to: HOME KM
16
5535
0
12
0
1
2
5
3.5
1
4
2
6
1
7
1
8
3
12
2
Sysmiss
5535
What is the distance from [PLOT] to: ROAD KM
16
5535
0
6
0
3
0.5
2
1
2
1.5
1
2
3
4
4
6
1
Sysmiss
5535
What is the distance from [PLOT] to: MARKET KM
16
5535
1
20
1
1
4
1
5
2
6
2
7
1
8
5
9
1
12
1
13
1
20
1
Sysmiss
5535
How did you use this plot during the long rainy season 2014?
16
5535
1
1
1
cultivated
16
2
RENTED OUT
0
3
GIVEN OUT
0
4
fallow
0
5
forest
0
6
OTHER (SPECIFY)
0
Sysmiss
5535
What was the total income from renting out this plot during the long rainy seaso
0
5551
Sysmiss
5551
What was the main crop cultivated on this plot in the long rainy season 2014?
16
0
MAHINDI
10
MHOGO
1
MPUNGA
1
NYANYA
1
VIAZI VITAMU
3
What was the main crop cultivated on this plot in the long rainy season 2014?
16
5535
11
87
11
maize
10
12
paddy
1
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
3
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
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
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
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
5535
Who decided what to plant on this plot in the long rainy season 2014? (ID #1)
16
5535
1
2
1
14
2
2
Sysmiss
5535
Who decided what to plant on this plot in the long rainy season 2014? (ID #2)
7
5544
2
2
2
7
Sysmiss
5544
Who decided what to plant on this plot in the long rainy season 2014? (ID #3)
0
5551
Sysmiss
5551
Who decided what to plant on this plot in the long rainy season 2014? (NR ID)
0
0
Who made decisions about input use on long rainy season 2014? (ID #1)
16
5535
1
2
1
13
2
3
Sysmiss
5535
Who made decisions about input use on long rainy season 2014? (ID #2)
7
5544
2
2
2
7
Sysmiss
5544
Who made decisions about input use on long rainy season 2014? (ID #3)
0
5551
Sysmiss
5551
Who made decisions about input use on long rainy season 2014? (NR ID)
0
5551
Sysmiss
5551
What was the soil type of this plot?
16
5535
1
4
1
sandy
4
2
loam
4
3
clay
5
4
OTHER (SPECIFY)
3
Sysmiss
5535
What was the soil quality of this plot?
16
5535
1
3
1
good
5
2
average
10
3
bad
1
Sysmiss
5535
How do you know the quality of the soil?
16
5535
2
3
1
SCIENTIFICALLY TESTED
0
2
OWN EXPERIENCE
13
3
OTHER (SPECIFY)
3
Sysmiss
5535
Were there any problems with erosion on this plot?
16
5535
1
2
1
yes
5
2
no
11
Sysmiss
5535
What was the cause of these erosion problems?
5
5546
2
2
1
wind
0
2
rain
5
3
animals
0
4
CULTIVATION WHICH DOES NOT COMPLY WITH SOIL CONSERVATIO
0
5
OTHER (SPECIFY)
0
Sysmiss
5546
Was there any erosion control/water harvesting facility on this plot in the last
16
5535
1
2
1
yes
3
2
no
13
Sysmiss
5535
What type of erosion control/water harvesting facility was on this plot?
3
5548
1
6
1
terraces
2
2
EROSION CONTROL BUNDS
0
3
GABIONS/SANDBAGS
0
4
VETIVER GRASS
0
5
TREE BELTS
0
6
WATER HARVEST BUNDS
1
7
DRAINAGE DITCHES
0
8
dam
0
Sysmiss
5548
What type of erosion control/water harvesting facility was on this plot?
0
5551
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
5551
How steep is the slope of this plot?
16
5535
1
4
1
FLAT BOTTOM
7
2
FLAT TOP
2
3
SLIGHTLY SLOPED
6
4
VERY STEEP
1
Sysmiss
5535
Was this plot irrigated in the long rainy season 2014?
16
5535
1
2
1
yes
1
2
no
15
Sysmiss
5535
What was the type of irrigation?
1
5550
4
4
1
flooding
0
2
sprinkler
0
3
DRIP IRRIGATION
0
4
BUCKET/WATERING CAN
1
5
WATER HOSE
0
6
OTHER (SPECIFY)
0
Sysmiss
5550
What was the method of obtaining water?
1
5550
2
2
1
gravity
0
2
HAND BUCKET
1
3
HAND/FOOT PUMP
0
4
MOTOR PUMP
0
5
OTHER (SPECIFY)
0
Sysmiss
5550
What was the source of water?
1
5550
1
1
1
well
1
2
borehole
0
3
POND/TANK
0
4
RIVER/STREAM
0
5
OTHER (SPECIFY)
0
Sysmiss
5550
What was the most recent year in which the plot was left fallow?
16
5535
0
2013
0
never
8
98
DON'T KNOW
7
2013
1
Sysmiss
5535
For how many consecutive years was this plot left fallow this last time?
1
5550
1
1
1
1
Sysmiss
5550
What would the value of this plot be if it were sold today?
16
5535
25000
3000000
How was this plot acquired?
16
5535
5
10
1
inheritance
0
2
gift
0
3
BORROWING FROM FAMILY MEMBER
0
4
LAND ALLOCATION FROM VILLAGE COUNCIL
0
5
purchased
2
6
USED FREE OF CHARGE
3
7
RENTED IN
10
8
SHARED - RENT
0
9
SHARED - OWN
0
10
SQUATTING, CLEARING
1
11
OTHER, SPECIFY
0
Sysmiss
5535
With whom do you co-own this plot? (NR ID #1)
2
0
N99
2
What share does your household get of the output?
0
5551
1
nothing
0
2
ALMOST NOTHING
0
3
ONE QUARTER
0
4
half
0
5
THREE QUARTERS
0
6
ALMOST ALL
0
Sysmiss
5551
What type of legal certificate does your household have for this plot?
2
5549
3
3
1
GRANTED RIGHT OF OCCUPANCY
0
2
CERTIFICATE OF CUSTOMARY RIGHTS OF OCCUPANCY
0
3
NO CERTIFICATE
2
Sysmiss
5549
Would you like to apply for a CCRO/GRO for this plot?
2
5549
1
1
1
yes
2
2
no
0
Sysmiss
5549
Would you be willing to pay for legal certification?
2
5549
1
1
1
yes
2
2
no
0
Sysmiss
5549
What other types of ownership or legal documents does your household have for th
2
5549
8
8
1
VILLAGE-GOVERNMENT-WITNESSED PURCHASE AGREEMENT
0
2
LOCAL-COURT-CERTIFIED PURCHASE AGREEMENT
0
3
INHERITANCE LETTER
0
4
LETTER OF ALLOCATION FROM VILLAGE GOV'T
0
5
OTHER GOVERNMENT DOCUMENT
0
6
OFFICIAL CORRESPONDENCE
0
7
UTILITY OR OTHER BILL
0
8
NO DOCUMENTATION
2
Sysmiss
5549
Who in the household owns this plot? (ID #1)
2
5549
1
1
1
2
Sysmiss
5549
Who in the household owns this plot? (ID #2)
2
5549
2
2
2
2
Sysmiss
5549
Did the owner/household have the right to sell this plot or use it as collateral
2
5549
1
1
1
yes
2
2
no
0
Sysmiss
5549
Who in the household can decide whether to sell this plot or use it as collatera
2
5549
1
1
1
2
Sysmiss
5549
Who in the household can decide whether to sell this plot or use it as collatera
2
5549
2
2
2
2
Sysmiss
5549
If you were to sell this plot, do you need approval from other parties to sell i
2
5549
2
2
2
2
Sysmiss
5549
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 last completed
10
5541
0
60000
What period of time did this payment cover? (NO. UNITS)
9
5542
1
8
1
3
6
3
7
1
8
2
Sysmiss
5542
What period of time did this payment cover? (UNITS)
9
5542
1
2
1
months
6
2
years
3
Sysmiss
5542
What share of output from this plot did you give as rent, if any, in the last co
10
5541
1
3
1
none
8
2
ALMOST NONE
1
3
ABOUT 25%
1
4
ABOUT 50%
0
5
ABOUT 75%
0
6
ALMOST ALL
0
Sysmiss
5541
Who owns the plot? (NR ID #1)
14
0
N01
10
N02
2
N03
1
N04
1
Who in the household has the rights to use this plot? (ID #1)
14
5537
1
2
1
12
2
2
Sysmiss
5537
Who in the household has the rights to use this plot? (ID #2)
4
5547
2
2
2
4
Sysmiss
5547
In which year was the plot acquired?
2
5549
2014
2014
2014
2
Sysmiss
5549
Did you have any land dispute or disagreement with anyone over this plot in the
2
5549
2
2
1
Yes
0
2
No
2
Sysmiss
5549
Would you feel comfortable leaving this plot uncultivated for several months wit
16
5535
1
2
1
yes
4
2
no
12
Sysmiss
5535
DID THE HOUSEHOLD CULTIVATE THIS PLOT IN THE LONG RAINY SEASON 2014?
4291
1260
1
2
1
yes
1608
2
no
2683
Sysmiss
1260
Did you use any ORGANIC FERTILIZER on [PLOT] in the long rainy season 2014?
1608
3943
1
2
1
yes
162
2
no
1446
Sysmiss
3943
What was the quantity of organic fertilizer used?
162
5389
15
12000
Was any of this purchased?
162
5389
1
2
1
yes
14
2
no
148
Sysmiss
5389
How much was purchased?
14
5537
50
8000
What was the total value of organic fertilizer purchased?
14
5537
5000
300000
Where did you buy most of the organic fertilizer? (NR ID #1)
14
0
N01
7
N02
5
N04
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 2014?
1608
3943
1
2
1
yes
59
2
no
1549
Sysmiss
3943
What is the first type of INORGANIC FERTILIZER you used on this plot?
59
5492
1
8
1
DI-AMMOIUM PHOSPHATE (DAP)
21
2
urea
26
3
TRIPLE SUPER PHOSPHATE (TSP)
1
4
CALCIUM AMMONIUM NITRATE (CAN)
4
5
SULPHATE OF AMMONIUM (SA)
1
6
NITROGEN PHOSPHATE POTASSIUM (NPK)
5
7
MINJINGU ROCK PHOSPHATE (MRP)
0
8
OTHER, SPECIFY
1
Sysmiss
5492
What quantity of [FERTILIZER] did you use?
59
5492
1
250
Did you receive a voucher/ certificate for any of this [FERTILIZER]?
59
5492
1
2
1
yes
5
2
no
54
Sysmiss
5492
What was the total value of [FERTILIZER] purchased?
59
5492
1500
410000
Why did you choose to use this specific type of inorganic fertilizer?
59
5492
1
5
1
ADVICE BY AGRICULTURAL OFFICER
16
2
RECEIVED VOUCHER
3
3
OWN EXPERIENCE
32
4
NEIGHBOUR ADVICE
5
5
OTHER (SPECIFY)
3
Sysmiss
5492
Where did you buy most of the [FERTILIZER]? (NR ID #1)
59
0
N01
26
N02
24
N03
8
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
59
5492
1
2
1
yes
12
2
no
47
Sysmiss
5492
What is the second type of INORGANIC FERTILIZER you used on this plot?
12
5539
1
7
1
DI-AMMOIUM PHOSPHATE (DAP)
1
2
urea
4
3
TRIPLE SUPER PHOSPHATE (TSP)
0
4
CALCIUM AMMONIUM NITRATE (CAN)
5
5
SULPHATE OF AMMONIUM (SA)
0
6
NITROGEN PHOSPHATE POTASSIUM (NPK)
1
7
MINJINGU ROCK PHOSPHATE (MRP)
1
Sysmiss
5539
What quantity of [FERTILIZER] did you use?
12
5539
2
50
Did you receive a voucher/certificate for any of this [FERTILIZER]?
12
5539
1
2
1
yes
3
2
no
9
Sysmiss
5539
What was the total value of [FERTILIZER] purchased?
12
5539
2400
70000
Where did you buy most of the [FERTILIZER]? (NR ID #1)
12
0
N01
4
N02
5
N03
2
N04
1
Where did you buy most of the [FERTILIZER]? (NR ID #2)
0
0
Did you use any additional inorganic fertilizer?
12
5539
1
2
1
Yes
2
2
No
10
Sysmiss
5539
Did you use any pesticide/ herbicide on [PLOT] in the long rainy season 2014?
1608
3943
1
2
1
yes
20
2
no
1588
Sysmiss
3943
What was the main type of pesticide/herbicide that you applied?
0
5551
1
pesticide
0
2
herbicide
0
3
fungicide
0
4
OTHER (SPECIFY)
0
Sysmiss
5551
What quantity of this pesticide/herbicide did you use? (Quantity)
20
5531
1
2500
What quantity of this pesticide/herbicide did you use? (Unit)
20
5531
1
3
1
kg
4
2
litre
9
3
millilitre
7
4
OTHER (SPECIFY)
0
Sysmiss
5531
What was the total value of this pesticides/ herbicides purchased?
20
5531
2000
70000
Why did you choose to use this specific type of pesticide/herbicide?
20
5531
1
4
1
ADVICE BY AGRICULTURAL OFFICER
7
2
RECEIVED VOUCHER
0
3
OWN EXPERIENCE
12
4
NEIGHBOUR ADVICE
1
5
OTHER (SPECIFY)
0
Sysmiss
5531
Where did you buy most of the pesticides/ herbicides? (NR ID #1)
20
0
N01
3
N02
12
N03
2
N06
3
Where did you buy most of the pesticides/ herbicides? (NR ID #2)
0
0
Did you use any pesticide on [PLOT] in the long rainy season 2014?
1608
3943
1
2
1
yes
92
2
no
1516
Sysmiss
3943
What quantity of this pesticide did you use? AMOUNT
92
5459
1
750
What quantity of this pesticide did you use? UNIT
92
5459
1
4
1
kg
8
2
litre
31
3
millilitre
50
4
OTHER,SPECIFY
3
Sysmiss
5459
What was the total value of this pesticide purchased?
92
5459
0
180000
Why did you choose to use this specific type of pesticide?
92
5459
1
5
1
ADVICE BY AGRICULTURAL OFFICER
24
2
RECEIVED VOUCHER
2
3
OWN EXPERIENCE
51
4
NEIGHBOUR ADVICE
10
5
OTHER, SPECIFY
5
Sysmiss
5459
Where did you buy most of the pesticides? (NR ID #1)
92
0
N01
49
N02
33
N03
10
Did you receive any seeds, fertilizers, pesticides or herbicides for [PLOT] on c
1608
3943
1
2
1
yes
1
2
no
1607
Sysmiss
3943
What were the types of input you received on credit? (#1)
1
5550
2
2
1
seeds
0
2
ORGANIC FERTILIZER
1
3
INORGANIC FERTILIZER
0
4
PESTICIDES/HERBICIDES
0
Sysmiss
5550
What were the types of input you received on credit? (#2)
0
5551
1
seeds
0
2
ORGANIC FERTILIZER
0
3
INORGANIC FERTILIZER
0
4
PESTICIDES/HERBICIDES
0
Sysmiss
5551
What were the types of input you received on credit? (#3)
0
5551
1
seeds
0
2
ORGANIC FERTILIZER
0
3
INORGANIC FERTILIZER
0
4
PESTICIDES/HERBICIDES
0
Sysmiss
5551
What were the types of input you received on credit? (#4)
0
5551
1
seeds
0
2
ORGANIC FERTILIZER
0
3
INORGANIC FERTILIZER
0
4
PESTICIDES/HERBICIDES
0
Sysmiss
5551
How much did you pay up front for these inputs?
1
5550
0
0
0
1
Sysmiss
5550
How much did you repay in cash later on for the inputs?
1
5550
460000
460000
460000
1
Sysmiss
5550
How much did you repay in kind later on for the inputs? (Quantity)
1
5550
0
0
0
1
Sysmiss
5550
How much did you repay in kind later on for the inputs? (Code)
1
5550
3
3
1
THIS CROP (KGs)
0
2
LABOR (DAYS)
0
3
OTHER (SPECIFY)
1
Sysmiss
5550
From whom did you receive these inputs on credit? (NR ID #1)
1
0
N01
1
From whom did you receive these inputs on credit? (NR ID #2)
0
0
Did you use any mechanization on this plot in the short rainy season 2014?
1608
3943
1
2
1
yes
21
2
no
1587
Sysmiss
3943
Did you use any animal traction on this plot in the short rainy season 2014?
1608
3943
1
2
1
yes
138
2
no
1470
Sysmiss
3943
How many days did [NAME] spend on (Land preparation and planting) (ID #1)
1494
4057
1
60
How many days did [NAME] spend on (Land preparation and planting) (ID #1 Days)
1493
4058
0
60
How many days did [NAME] spend on (Land preparation and planting) (ID #2)
828
4723
1
12
1
3
2
758
3
51
4
13
7
1
12
2
Sysmiss
4723
How many days did [NAME] spend on (Land preparation and planting) (ID #2 Days)
825
4726
0
60
How many days did [NAME] spend on (Land preparation and planting) (ID #3)
460
5091
3
10
3
362
4
47
5
11
6
16
7
13
8
9
9
1
10
1
Sysmiss
5091
How many days did [NAME] spend on (Land preparation and planting) (ID #3 Days)
460
5091
0
48
How many days did [NAME] spend on (Land preparation and planting) (ID #4)
295
5256
4
11
4
211
5
43
6
16
7
6
8
8
9
10
11
1
Sysmiss
5256
How many days did [NAME] spend on (Land preparation and planting) (ID #4 Days)
295
5256
0
48
How many days did [NAME] spend on (Land preparation and planting) (ID #5)
180
5371
4
13
4
1
5
108
6
25
7
14
8
1
9
16
10
11
11
3
13
1
Sysmiss
5371
How many days did [NAME] spend on (Land preparation and planting) (ID #5 Days)
180
5371
0
33
How many days did [NAME] spend on (Land preparation and planting) (ID #6)
88
5463
5
14
5
1
6
45
7
10
8
4
9
5
10
10
11
3
12
1
13
8
14
1
Sysmiss
5463
How many days did [NAME] spend on (Land preparation and planting) (ID #6 Days)
88
5463
0
21
Days [NAME] spent on (Weeding, Ridging, Fertilizing, etc.) (ID #7)
1547
4004
1
20
1
1439
2
93
3
13
5
1
20
1
Sysmiss
4004
Days [NAME] spent on (Weeding, Ridging, Fertilizing, etc.) (ID #7 Days)
1546
4005
0
60
Days [NAME] spent on (Weeding, Ridging, Fertilizing, etc.) (ID #8)
1005
4546
1
13
1
3
2
926
3
58
4
14
5
1
7
1
13
2
Sysmiss
4546
Days [NAME] spent on (Weeding, Ridging, Fertilizing, etc.) (ID #8 Days)
1003
4548
0
60
Days [NAME] spent on (Weeding, Ridging, Fertilizing, etc.) (ID #9)
527
5024
3
9
3
409
4
60
5
13
6
18
7
16
8
9
9
2
Sysmiss
5024
Days [NAME] spent on (Weeding, Ridging, Fertilizing, etc.) (ID #9 Days)
527
5024
0
60
Days [NAME] spent on (Weeding, Ridging, Fertilizing, etc.) (ID #10)
327
5224
4
11
4
227
5
46
6
21
7
6
8
12
9
11
10
1
11
3
Sysmiss
5224
Days [NAME] spent on (Weeding, Ridging, Fertilizing, etc.) (ID #10 Days)
327
5224
0
60
Days [NAME] spent on (Weeding, Ridging, Fertilizing, etc.) (ID #11)
194
5357
3
14
3
1
4
1
5
114
6
26
7
17
8
1
9
17
10
11
11
4
14
2
Sysmiss
5357
Days [NAME] spent on (Weeding, Ridging, Fertilizing, etc.) (ID #11 Days)
194
5357
0
33
Days [NAME] spent on (Weeding, Ridging, Fertilizing, etc.) (ID #12)
95
5456
4
13
4
1
5
1
6
47
7
11
8
5
9
5
10
9
11
3
12
5
13
8
Sysmiss
5456
Days [NAME] spent on (Weeding, Ridging, Fertilizing, etc.) (ID #12 Days)
95
5456
0
21
How many days did [NAME] spend on (Harvesting & Threshing) (ID #1)
1530
4021
1
25
How many days did [NAME] spend on (Harvesting & Threshing) (ID #1 Days)
1527
4024
0
60
How many days did [NAME] spend on (Harvesting & Threshing) (ID #2)
1023
4528
1
10
1
3
2
932
3
60
4
21
5
2
7
1
8
1
9
2
10
1
Sysmiss
4528
How many days did [NAME] spend on (Harvesting & Threshing) (ID #2 Days)
1022
4529
0
60
How many days did [NAME] spend on (Harvesting & Threshing) (ID #3)
537
5014
2
11
2
3
3
420
4
63
5
13
6
21
7
7
8
8
11
2
Sysmiss
5014
How many days did [NAME] spend on (Harvesting & Threshing) (ID #3 Days)
536
5015
0
60
How many days did [NAME] spend on (Harvesting & Threshing) (ID #4)
325
5226
3
12
3
5
4
226
5
42
6
18
7
9
8
9
9
13
11
1
12
2
Sysmiss
5226
How many days did [NAME] spend on (Harvesting & Threshing) (ID #4 Days)
324
5227
0
60
How many days did [NAME] spend on (Harvesting & Threshing) (ID #5)
187
5364
1
13
1
2
4
2
5
118
6
23
7
10
8
1
9
14
10
11
11
4
13
2
Sysmiss
5364
How many days did [NAME] spend on (Harvesting & Threshing) (ID #5 Days)
187
5364
0
60
How many days did [NAME] spend on (Harvesting & Threshing) (ID #6)
90
5461
5
15
5
1
6
46
7
11
8
4
9
4
10
9
11
3
12
1
13
8
14
2
15
1
Sysmiss
5461
How many days did [NAME] spend on (Harvesting & Threshing) (ID #6 Days)
90
5461
0
60
Typical number of hours per day worked by an individual on this plot (Land Prepa
1458
4093
0
12
0
553
1
46
2
65
3
107
4
207
5
188
6
163
7
49
8
46
9
14
10
14
11
1
12
5
Sysmiss
4093
Typical number of hours per day worked by an individual on this plot (Weeding)
1518
4033
0
12
0
278
1
95
2
109
3
166
4
275
5
202
6
233
7
50
8
60
9
25
10
15
11
3
12
7
Sysmiss
4033
Typical number of hours per day worked by an individual on this plot (Ridging, F
0
5551
Sysmiss
5551
Typical number of hours per day worked by an individual on this plot (Harvesting
1520
4031
0
20
0
301
1
278
2
196
3
154
4
166
5
142
6
147
7
47
8
49
9
10
10
18
11
2
12
9
20
1
Sysmiss
4031
Did you hire any labor to work on this plot in the long rainy seaon 2014?
1608
3943
1
2
1
yes
258
2
no
1350
Sysmiss
3943
- Land preparation and planting (Women Days)
259
5292
0
60
- Land preparation and planting (Men Days)
259
5292
0
50
- Land preparation and planting (Child Days)
259
5292
0
2
0
257
1
1
2
1
Sysmiss
5292
- Land preparation and planting (Total Wage Paid (TSH))
258
5293
0
160000
- Weeding (Women Days)
258
5293
0
99
- Weeding (Men Days)
259
5292
0
99
- Weeding (Children Days)
259
5292
0
15
0
253
2
2
4
1
6
1
8
1
15
1
Sysmiss
5292
- Weeding TOTAL
259
5292
0
900000
- Ridging, fertilizing, other non-harvest activities (Women Days)
0
5551
Sysmiss
5551
- Ridging, fertilizing, other non-harvest activities (Men Days)
0
5551
Sysmiss
5551
- Ridging, fertilizing, other non-harvest activities (Child Days)
0
5551
Sysmiss
5551
- Ridging, fertilizing, other non-harvest activities (Total Wage Paid (TSH))
0
5551
Sysmiss
5551
- Harvesting (Women Days)
259
5292
0
44
- Harvesting (Men Days)
259
5292
0
40
- Harvesting (Child Days)
259
5292
0
8
0
254
2
3
6
1
8
1
Sysmiss
5292
- Harvesting (Total Wage Paid (TSH))
257
5294
0
240000
ENUMERATOR: DID YOU ALREADY LIST THIS PLOT ABOVE IN 3A?
4289
1262
1
2
1
yes
4274
2
no
15
Sysmiss
1262
WHAT WAS THE LAST COMPLETED SHORT RAINY SEASON?
15
5536
1
2
1
2011
5
2
2012
10
Sysmiss
5536
Why did you not have this plot (own or cultivate) during the long rainy season 2
5
5546
2
6
1
SOLD IT
0
2
abandoned
2
3
taken
0
4
REDISTRIBUTED BY VILLAGE
0
5
GIVEN AWAY
1
6
STOPPED RENTING / SHARECROPPING
2
Sysmiss
5546
How did you acquire this plot for the short rainy season 2014?
10
5541
1
6
1
BOUGHT IT
2
2
inherited
0
3
STARTED RENTING / SHARECROPPING
7
4
CLEARED IT
0
5
DISTRIBUTED BY VILLAGE
0
6
occupied
1
Sysmiss
5541
Case Section Roster / Line Occurrence Sequence for O/S Merge
7126
0
1
24
Unique Household Identification NPS Y4
7126
0
PLOT CODE
5585
0
M1
3170
M10
3
M11
2
M12
2
M13
2
M2
1519
M3
570
M4
200
M5
68
M6
28
M7
10
M8
6
M9
5
CROP CODE
5585
1541
11
998
11
maize
2088
12
paddy
491
13
sorghum
202
14
BULRUSH MILLET
9
15
FINGER MILLET
19
16
wheat
5
17
barley
0
18
BLACK PEPPER
0
19
seaweed
3
21
cassava
7
22
SWEET POTATOES
331
23
IRISH POTATOES
59
24
yams
12
25
cocoyams
98
26
onions
10
27
ginger
3
31
beans
626
32
cowpeas
136
33
GREEN GRAM
109
34
PIGEON PEA
194
35
CHICK PEAS
20
36
BAMBARA NUTS
55
37
FIELD PEAS
4
38
MALAY APPLE
0
39
STAR FRUIT
0
41
sunflower
174
42
sesame
127
43
groundnut
378
44
PALM OIL
0
45
coconut
0
46
CASHEW NUT
0
47
soyabeans
1
48
CASTER SEED
0
50
cotton
134
51
tobacco
46
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
2
87
tomatoes
35
88
spinach
6
89
carrot
3
90
chilies
5
91
amaranths
19
92
pumpkins
94
93
cucumber
13
94
EGG PLANT
6
95
WATER MELLON
5
96
cauliflower
0
97
durian
0
98
bilimbi
0
99
rambutan
0
100
okra
25
101
fiwi
7
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)
24
Sysmiss
1541
PLOT NAME
5585
0
**CONFIDENTIAL**
5585
CROP NAME
5585
0
ALIZETI
175
BAMIA
25
BILINGANYA
5
BOGA
10
CHINESE
1
CHOROKO
109
DENGU
20
FIGIRI
2
FIWI
7
KABEJI
1
KABICHI
1
KARANGA
377
KAROTI
3
KISAMVU
1
KUNDE
136
MABILINGANYA
1
MABOGA
78
MAFUTA
1
MAGIMBI
98
MAHARAGE
624
MAHINDI
2088
MAJANI YA MABOGA
6
MAJINAHAHA
1
MAMUNG'UNYA
2
MATANGO
13
MATEMBELE
8
MATIKITI
2
MATIKITI MAJI
2
MBAAZI
194
MBOGAMBOGA
2
MBOGAMBOGA (SALADI)
1
MCHICHA
17
MHOGO
7
MNAVU
2
MPUNGA
490
MTAMA
202
MWANI
3
NGANO
5
NJANO
1
NJEGERE
4
NJUGUMAWE
55
NYANYA
34
NYANYA CHUNGU
4
PAMBA
134
PILIPILI
1
PILIPILI HOHO
4
PILIPILI MBUZI
1
SELENA
1
SOYA
1
SPINACHI
6
SUPA
1
TANGAWIZI
3
TEMBELE
3
TIKITIKI MAJI
1
TUMBAKU
46
UFUTA
126
ULEZI
19
UWELE
9
VIAZI MVIRINGO
59
VIAZI VIKUU
12
VIAZI VITAMU
330
VITUNGUU
7
VITUNGUU MAJI
3
Was crop planted in entire area of plot?
5585
1541
1
2
1
yes
3162
2
no
2423
Sysmiss
1541
Approximately, how much of the plot was planted with [CROP]?
2423
4703
1
3
1
1/4
1229
2
1/2
854
3
3/4
340
Sysmiss
4703
Why didn't you plant the entire plot with [CROP]?
2420
4706
1
8
1
WAS DIVIDED
1565
2
drought
57
3
LACK OF TOOLS/EQUIPMENTS
354
4
LACK SEEDS
210
5
floods
6
6
loans
0
7
AG EQUIPMENTS
74
8
OTHER, SPECIFY
154
Sysmiss
4706
Was cultivation intercropped?
5585
1541
1
2
1
yes
3752
2
no
1833
Sysmiss
1541
What is the reason for this intercropping?
3752
3374
1
3
1
MORE FERTILE FOR THE SOIL
144
2
SUBSTITUTE IF EITHER CROP FAILS
3292
3
OTHER, SPECIFY
316
Sysmiss
3374
What was the name of the main seed variety for this [CROP] on this plot?
5585
0
Were the seeds...
5585
1541
1
4
1
improved
781
2
traditional
4279
3
IMPROVED, RECYCLED
524
4
OTHER (SPECIFY)
1
Sysmiss
1541
What was the total amount of seeds used? (Quantity)
5584
1542
0
3500
What was the total amount of seeds used? (Unit)
5585
1541
1
5
1
kg
4693
2
20 LITER BUCKET
141
3
SMALL CUP
125
4
LARGE CUP
72
5
OTHER (SPECIFY)
554
Sysmiss
1541
How much of total seeds used on plot came from previous season? (Quantity)
5585
1541
0
2800
How much of total seeds used on plot came from previous season? (Unit)
3433
3693
1
5
1
kg
2903
2
20 LITER BUCKET
99
3
SMALL CUP
78
4
LARGE CUP
50
5
OTHER, SPECIFY
303
Sysmiss
3693
What type of seed were the seeds from the previous season?
3433
3693
1
3
1
improved
40
2
traditional
3025
3
IMPROVED RECYCLED
368
4
OTHER (SPECIFY)
0
Sysmiss
3693
How much of the total seed used on plot came from purchases?
5580
1546
0
18000
How much of the total seed used on plot came from purchases?
1904
5222
1
5
1
kg
1692
2
20 LITER BUCKET
39
3
SMALL CUP
38
4
LARGE CUP
12
5
OTHER, SPECIFY
123
Sysmiss
5222
What was the total amount paid for seeds?
1905
5221
0
800000
Where did you buy most of the seeds? (NR ID #1)
1906
0
N01
784
N02
652
N03
294
N04
108
N05
50
N06
14
N07
1
N08
2
N09
1
Did you receive a voucher/ certificate for any of this [SEEDS]?
5585
1541
1
2
1
yes
30
2
no
5555
Sysmiss
1541
Were there any losses of crops before the harvest?
5585
1541
1
2
1
yes
1201
2
no
4384
Sysmiss
1541
What was the cause of these losses?
1201
5925
1
6
1
birds
218
2
animals
262
3
insects
316
4
diseases
79
5
theft
148
6
OTHER (SPECIFY)
178
Sysmiss
5925
Did you harvest any [CROP] on this plot in the long-rainy season 2014?
5585
1541
1
2
1
yes
5405
2
no
180
Sysmiss
1541
Why didn't you harvest any [CROP] on this plot?
182
6944
1
4
1
NOT MINE TO HARVEST
5
2
STILL IN PLOT
10
3
destruction
83
4
OTHER (SPECIFY)
84
Sysmiss
6944
What was the area harvested in the long rainy season 2014?
5405
1721
0
60
Was area harvested less than area planted?
5405
1721
1
2
1
yes
1283
2
no
4122
Sysmiss
1721
What was the reason it was less than the area planted?
1281
5845
1
9
1
drought
560
2
rains
174
3
fire
5
4
insects
187
5
animals
103
6
CROP THEFT
48
7
DISEASES AND COMMUNITY PROBLEMS
37
8
LACK OF CASUAL LABOR
9
9
OTHER (SPECIFY)
158
Sysmiss
5845
What was the first and last month of the harvest period? (Begin)
5405
1721
1
12
1
january
83
2
february
221
3
march
488
4
april
782
5
may
949
6
june
1362
7
july
914
8
august
400
9
september
129
10
october
21
11
november
13
12
december
43
Sysmiss
1721
What was the first and last month of the harvest period? (End)
5404
1722
0
12
0
HARVEST NOT YET COMPLETE
23
1
january
46
2
february
89
3
march
233
4
april
597
5
may
823
6
june
1251
7
july
1254
8
august
706
9
september
252
10
october
70
11
november
15
12
december
45
Sysmiss
1722
Have you finished the harvest?
5405
1721
1
2
1
yes
5372
2
no
33
Sysmiss
1721
How many more days do you expect the harvest to last?
32
7094
3
180
What fraction of the crop remains to be harvested in this period?
32
7094
2
80
What was the quantity harvested?
5405
1721
0
125000
What is the estimated value of the harvested crop?
5405
1721
0
24500000
Who in the household made decisions concerning use of harvested crop? (ID#1)
5404
1722
1
8
1
5099
2
256
3
28
4
6
5
3
6
10
7
1
8
1
Sysmiss
1722
Who in the household made decisions concerning use of harvested crop? (ID#2)
2962
4164
1
11
1
28
2
2866
3
46
4
5
5
12
11
5
Sysmiss
4164
Case Section Roster / Line Occurrence Sequence for O/S Merge
4135
0
1
10
1
3352
2
344
3
201
4
120
5
63
6
28
7
15
8
6
9
4
10
2
Unique Household Identification NPS Y4
4135
0
PLOT CODE
1287
0
M1
772
M2
339
M3
105
M4
31
M5
6
M6
5
M7
3
M8
1
V1
20
V2
5
CROP CODE
1287
2848
11
998
11
maize
571
12
paddy
19
13
sorghum
26
14
BULRUSH MILLET
0
15
FINGER MILLET
3
16
wheat
0
17
barley
0
18
BLACK PEPPER
0
19
seaweed
1
21
cassava
0
22
SWEET POTATOES
84
23
IRISH POTATOES
28
24
yams
11
25
cocoyams
51
26
onions
2
27
ginger
2
31
beans
302
32
cowpeas
28
33
GREEN GRAM
21
34
PIGEON PEA
8
35
CHICK PEAS
1
36
BAMBARA NUTS
2
37
FIELD PEAS
1
38
MALAY APPLE
0
39
STAR FRUIT
0
41
sunflower
4
42
sesame
2
43
groundnut
51
44
PALM OIL
0
45
coconut
0
46
CASHEW NUT
0
47
soyabeans
0
48
CASTER SEED
0
50
cotton
8
51
tobacco
2
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
1
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
2
87
tomatoes
15
88
spinach
5
89
carrot
2
90
chilies
1
91
amaranths
8
92
pumpkins
7
93
cucumber
1
94
EGG PLANT
2
95
WATER MELLON
2
96
cauliflower
0
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
0
304
timber
0
305
MEDICINAL PLANT
0
306
FENCE TREE
0
851
lime
0
852
lemon
0
998
OTHER (SPECIFY)
11
Sysmiss
2848
PLOT NAME
1287
0
**CONFIDENTIAL**
1287
CROP NAME
1287
0
ALIZETI
4
BAMIA
2
BILINGANYA
2
BOGA
7
CHOROKO
21
DENGU
1
FIGIRI
1
HOHO
1
KABICHI
2
KARANGA
51
KAROTI
2
KUNDE
28
MAGIMBI
50
MAHARAGE
302
MAHINDI
571
MATANGO
1
MATEMBELE
3
MATIKITI MAJI
2
MBAAZI
8
MCHICHA
8
MIGOMBA
1
MPUNGA
19
MSHUMAA
1
MTAMA
26
MWANI
1
NGONGWE
1
NJEGERE
1
NJUGUMAWE
2
NYANYA
14
NYANYA CHUNGU
2
PAMBA
8
PILIPILI HOHO
1
SPINACHI
7
TANGAWIZI
2
TEMBELE
1
TUMBAKU
2
UFUTA
2
ULEZI
3
VIAZI MVIRINGO
28
VIAZI VIKUU
11
VIAZI VITAMU
85
VITUNGUU MAJI
2
Was crop planted in entire area of plot?
1287
2848
1
2
1
yes
698
2
no
589
Sysmiss
2848
Approximately, how much of the plot was planted with [CROP]?
588
3547
1
3
1
1/4
297
2
1/2
231
3
3/4
60
Sysmiss
3547
Why didn't you plant the entire plot with [CROP]?
588
3547
1
8
1
WAS DIVIDED
366
2
drought
16
3
LACK OF TOOLS/EQUIPMENTS
72
4
LACK SEEDS
70
5
floods
0
6
loans
0
7
AG EQUIPMENTS
12
8
OTHER, SPECIFY
52
Sysmiss
3547
Was cultivation intercropped?
1286
2849
1
2
1
yes
1014
2
no
272
Sysmiss
2849
What is the reason for this intercropping?
1014
3121
1
3
1
MORE FERTILE FOR THE SOIL
23
2
SUBSTITUTE IF EITHER CROP FAILS
818
3
OTHER, SPECIFY
173
Sysmiss
3121
What was the name of the main seed variety for this [CROP] on this plot?
1286
0
614 (FROM KENYA)
1
ALIZETI
2
AMALINGWA
1
ASILI
63
BABU NDOGO
1
BAMIA
1
BICHORI
1
BIKWALA
1
BOKOBOKO
1
BOMBAY
1
BORA KUPATA
1
BRANKETI
1
BUMEME
1
BUMEME&TATAHA
1
BUNANE
1
BUNANI
1
BURUSHI
1
CALIFONIA
1
CANADA
1
CAP
2
CHAINISI
1
CHAKARAGWE
1
CHAKUPONZA
3
CHATU
1
CHINES
1
CHINIS
1
CHOROKO
4
CHOROKO NDEFU
1
COROFENICAL
1
D.K 67
1
DAMU
1
DAMU YA MZEE
1
DAR-ES-SALAAM
2
DARK
1
DENGU
1
DK
6
DK 513
1
DK 53
3
DUMA SEED CO 43
2
DUMUDUMU
1
EBISOYA
1
EBITAKURE
1
ESMBE
1
FAYONEA
1
FIGIRI
1
FUKAMA
2
FUPI
1
GLORIA
1
GUNYA BAO
1
HAI BREED
1
HALIKA
1
HARIKA
2
HIBRIDE
2
HIGH BRID 28
2
HIGH BRIED
1
HOHO
1
HYBREED
11
HYBRID
6
HYBRIDE
3
ILONGA
3
IRINGA
1
IRINGA INA MABAKA
1
ISAKALYANJINGI
1
JAPAN (54)
1
JAPAN 64
2
KAKALA KALE
2
KAKE
1
KAKI
2
KAKUPONZA
1
KALAKALA ASILI
2
KALAMATA
1
KANTEMA
2
KANYAMBOKAZI
3
KARAMATA
2
KARAMBI
1
KARANGA
12
KARANGA KAHAWIA
1
KARANGA KUBWA
1
KARANGA NENE
1
KARANGA NYEMBAMBA
2
KARANGA NYEUPE
1
KARIASI
1
KARYASE
2
KASHALAGALA
1
KASINIA
1
KASUKARI
1
KATUKU
2
KATUMANI
7
KATUMBILI
12
KAURA
1
KIASILI
76
KIBEMBEGWA
1
KIBO
1
KIDING'A
11
KIENJEJI
1
KIENYEJI
267
KIENYEJI MEKUNDU
1
KIENYEJI NJANO
1
KIFARU
2
KIGOMA
1
KIHA
1
KIKWETE
1
KILEMBELWA
1
KILIMA
12
KINYEJI
2
KIRIMA
1
KISASA
4
KISHANGAZI
1
KITEBE
1
KITENGE
4
KOMBATI REFU
2
KONDOA
1
KORA
1
KUBWA NYEKUNDU
1
KUNDE
4
KUNDE FUPI
1
KUNDE NDEFU
1
KUNDE NDOGO
2
KUNDE NYEMBAMBA
1
KYAKARAGWE
1
KYAKUPONZA
1
LISBON
1
LISHE
1
LORI
1
LOSKOKO
1
LUBUNATELA
1
LUSHALA
4
MABILINGANYANI ASILI
1
MABOGA
3
MABOGA MAKUBWA
1
MADOLE
1
MAGEMBE
1
MAGIMBI
13
MAHARAGE
3
MAHARAGE ASILI
1
MAHARAGE RED ROZY
1
MAHINDI
55
MAHINDI (NYANDE)
1
MAHINDI ASILI
1
MAKWATA
1
MALI YA HINDI
1
MALIYAINDA
1
MAMLAKA
1
MAPANGULO
1
MARANDO
1
MARIA
4
MASINIA
2
MATEMBELE MEMBAMBA
1
MAYONDO
2
MAYUGA
1
MBAAZI
2
MBAAZI ASILI
1
MBEGU FUPI
1
MBEGU KUBWA
1
MBEGU NDEFU
1
MBEGU NYEKUNDU
1
MBEGU PANA
1
MBEGU YA ASILI
3
MBEGU YA KIJANI
1
MBEGU ZA ASILI
1
MBEGUYA ASILI
1
MCHANGANYIKO
11
MCHICHA
2
MCHICHA BORA
1
MCHICHA LISHE
1
MCHICHA PORI
1
MEKUNDU
12
MEUPE
7
MEUPE NDANI
1
MKE MWEMA
3
MKEKUNDU
1
MKEMWEMA
1
MKOMAO
1
MKULIMA SEED
1
MLAGALA
1
MOSHI
1
MSAGALA
1
MSHUMAA
1
MSOLINI
1
MTAMA
2
MTAMA MWEKUNDU
4
MTAMA MWEUPE
2
MTV
2
MUJUNZA
2
MULUSHU (ASILI)
2
MUORO
1
MWAMIKOLA
2
MWAMIKORA
1
MWANGA
1
MWANIKE
1
MWANIKE WA MJINI
1
MWEKUNDU
4
MWEUPE
1
MWEZI MMOJA
1
MZIGUA
1
MZURI DONGO
1
NAILON
1
NAILONI
2
NATEX
1
NCHANANA
1
NDEFU YA ASILI
1
NDERIA MWANA
1
NDIMILINKOBE
1
NGOYE
1
NJANO
72
NJANO (SOYA)
1
NJANO MAFUPI
1
NJANO(SOYA)
1
NJUGU NYEUPE
1
NKIGAMBILENYOKO
1
NSHALAGALA
1
NYAMBOKAZI
2
NYAMIREMBE
1
NYANDE
4
NYANDIO
1
NYANYA
2
NYANYA ASILI
1
NYAYO
1
NYEKUNDU
12
NYEKUNDU GANDA
1
NYEUPE
1
NYEUPE YA ASILI
1
NYEUSI
1
OBAMA
4
OBUGUSA
1
PAMBA ISIYOKOBOLEWA
1
PANA
5
PANA SEED
1
PANAR
3
PANAR 67
1
PANNAH
1
PANNAL
3
PANNAR
12
PANNER
6
PIONEER
3
POLISTA
2
POLISTER
1
POLYSTA
1
POPRANGE
1
PORISTA
3
PUNDAMILIA
1
PUNDAMILIA(SOYA)
1
RANGI MBILI
3
RANGI RANGI
4
RED BOMBAY
1
RED MASAI
1
RIO HONEST
1
ROBA
1
ROSE COCO
6
ROSE KOKO
4
ROSECOCO
2
ROSEKOKO
5
ROSIKOKO
1
ROZI KOKO
1
ROZIKOKO
1
ROZYCOCO
3
ROZYCOKO
1
ROZYKOKO
1
RUHONDERA
1
RUSHALA
2
RUSHARA
1
RUSUMO ASILI
1
SAHANI
1
SALUNDE
1
SARO
4
SEDCO
3
SEECO PUNDA
1
SEED CO
2
SEED-CO
45
SEEDCO
42
SEEDCO PUNDA
1
SEEDICO
1
SEEDIKO
1
SEMBE
3
SERENA
2
SHINYANGA
2
SHONA
5
SHONA EGUNIA
1
SIDCO
1
SIDICO
3
SIDIKO
2
SIDKO
3
SIKU SITINI
1
SITUKA
6
SONGEA
1
SOSI
1
SOYA
16
SOYA NJANO
1
SOYA YA NJANO
4
SPINACHI
2
STAR
12
STUKA
11
SUBANG
1
SUPER
1
SUPER BKN
1
TANYA
5
TEMBELE
1
TEMBELE FUPI
1
TOLWE
1
TONA
1
TONGAIRA
2
TUMAINI
2
TUMBAKU
1
TUMBILI
5
TURA
2
TURIANI
1
UKIMWI
2
UKIRIGURU
1
ULEZI
3
UN
2
VIAZI
1
VIAZI MVIRINGO
3
VIAZI NYEUPE
1
VIAZI VIKUU
1
VIAZI VITAMU
3
VIAZI VYEKUNDU
3
VIGOLE
1
VITUNGUU MAJI
1
VYA MKUYU
2
WINI
2
YANGA
2
YANJANO
1
ZA ASILI
10
ZAMBARAU
1
ZILIZOKOBOLEWA
1
How many varieties of seed for this [CROP] were planted on this plot?
0
4135
Sysmiss
4135
Were the seeds...
1286
2849
1
4
1
improved
187
2
traditional
976
3
IMPROVED, RECYCLED
122
4
OTHER (SPECIFY)
1
Sysmiss
2849
What was the total amount of seeds used? (Quantity)
1286
2849
0.1
1500
What was the total amount of seeds used? (Unit)
1286
2849
1
5
1
kg
1031
2
20 LITER BUCKET
30
3
SMALL CUP
34
4
LARGE CUP
22
5
OTHER (SPECIFY)
169
Sysmiss
2849
How much of total seeds used on plot came from previous season? (Quantity)
1286
2849
0
1500
How much of total seeds used on plot came from previous season? (Unit)
738
3397
1
5
1
kg
585
2
20 LITER BUCKET
17
3
SMALL CUP
20
4
LARGE CUP
21
5
OTHER, SPECIFY
95
Sysmiss
3397
What type of seed were the seeds from the previous season?
738
3397
1
3
1
improved
7
2
traditional
645
3
IMPROVED RECYCLED
86
4
OTHER (SPECIFY)
0
Sysmiss
3397
How much of total seeds used on plot came from purchases? (Quantity)
1285
2850
0
1500
How much of total seeds used on plot came from purchases? (Unit)
479
3656
1
5
1
kg
426
2
20 LITER BUCKET
11
3
SMALL CUP
10
4
LARGE CUP
0
5
OTHER, SPECIFY
32
Sysmiss
3656
What was the total amount paid for seeds?
479
3656
0
512000
Where did you buy most of the seeds? (NR ID #1)
479
0
N01
203
N02
168
N03
71
N04
26
N05
9
N06
2
Did you receive a voucher/ certificate for any of this [SEEDS]?
1286
2849
1
2
1
yes
8
2
no
1278
Sysmiss
2849
Were there any losses of crops before the harvest?
1286
2849
1
2
1
yes
313
2
no
973
Sysmiss
2849
What was the cause of these losses?
313
3822
1
6
1
birds
55
2
animals
69
3
insects
83
4
diseases
14
5
theft
50
6
OTHER (SPECIFY)
42
Sysmiss
3822
Did you harvest any [CROP] on this plot in the long-rainy season 2014?
1286
2849
1
2
1
yes
1219
2
no
67
Sysmiss
2849
Why didn't you harvest any [CROP] on this plot?
70
4065
1
4
1
NOT MINE TO HARVEST
2
2
STILL IN PLOT
15
3
destruction
29
4
OTHER (SPECIFY)
24
Sysmiss
4065
What was the area harvested in the long rainy season 2014?
1220
2915
0.01
105
Was area harvested less than area planted?
1220
2915
1
2
1
yes
363
2
no
857
Sysmiss
2915
What was the reason it was less than the area planted?
363
3772
1
9
1
drought
188
2
rains
24
3
fire
7
4
insects
44
5
animals
23
6
CROP THEFT
19
7
DISEASES AND COMMUNITY PROBLEMS
1
8
LACK OF CASUAL LABOR
7
9
OTHER (SPECIFY)
50
Sysmiss
3772
What was the first and last month of the harvest period? (Begin)
1220
2915
1
12
1
january
258
2
february
311
3
march
173
4
april
72
5
may
24
6
june
39
7
july
27
8
august
16
9
september
16
10
october
42
11
november
63
12
december
179
Sysmiss
2915
What was the first and last month of the harvest period? (End)
1220
2915
0
12
0
HARVEST NOT YET COMPLETE
29
1
january
214
2
february
338
3
march
213
4
april
116
5
may
40
6
june
33
7
july
29
8
august
16
9
september
21
10
october
23
11
november
45
12
december
103
Sysmiss
2915
Have you finished the harvest?
1220
2915
1
2
1
yes
1187
2
no
33
Sysmiss
2915
How many more days do you expect the harvest to last?
33
4102
2
180
What fraction of the crop remains to be harvested in this period?
33
4102
10
90
What was the quantity harvested?
1220
2915
1
54000
What is the estimated value of the harvested crop?
1220
2915
1
8040000
Who in the household made decisions concerning use of harvested crop? (ID#1)
1219
2916
1
8
1
1100
2
103
3
8
5
2
8
6
Sysmiss
2916
Who in the household made decisions concerning use of harvested crop? (ID#2)
598
3537
1
8
1
14
2
571
3
11
4
1
8
1
Sysmiss
3537
Case Section Roster / Line Occurrence Sequence for O/S Merge
5978
0
1
10
1
3352
2
1321
3
723
4
331
5
154
6
55
7
31
8
9
9
1
10
1
Unique Household Identification NPS Y4
5978
0
CROP CODE
4436
1542
11
998
11
maize
1424
12
paddy
425
13
sorghum
183
14
BULRUSH MILLET
9
15
FINGER MILLET
19
16
wheat
3
17
barley
0
18
BLACK PEPPER
0
19
seaweed
3
21
cassava
5
22
SWEET POTATOES
310
23
IRISH POTATOES
41
24
yams
11
25
cocoyams
88
26
onions
10
27
ginger
3
31
beans
493
32
cowpeas
125
33
GREEN GRAM
89
34
PIGEON PEA
150
35
CHICK PEAS
18
36
BAMBARA NUTS
50
37
FIELD PEAS
4
38
MALAY APPLE
0
39
STAR FRUIT
0
41
sunflower
147
42
sesame
116
43
groundnut
343
44
PALM OIL
0
45
coconut
0
46
CASHEW NUT
0
47
soyabeans
1
48
CASTER SEED
0
50
cotton
102
51
tobacco
37
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
2
87
tomatoes
32
88
spinach
6
89
carrot
3
90
chilies
4
91
amaranths
19
92
pumpkins
86
93
cucumber
13
94
EGG PLANT
6
95
WATER MELLON
3
96
cauliflower
0
97
durian
0
98
bilimbi
0
99
rambutan
0
100
okra
22
101
fiwi
6
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)
25
Sysmiss
1542
CROP NAME
4433
0
ALIZETI
146
BAMIA
22
BILINGANYA
6
BOGA
82
BOGA(MAJANI YA MABOG
1
CHINESE
2
CHOROKO
89
DENGU
18
FIGIRI
2
FIWI
6
KABICHI
2
KARANGA
343
KAROTI
3
KISAMVU
1
KUNDE
124
MAGIMBI
88
MAHARAGE
494
MAHINDI
1423
MAJANI YA MABOGA
3
MAMUNG'UNYA
2
MATANGO
13
MATEMBELE
6
MATIKITI
3
MATIKITI MAJI
1
MBAAZI
150
MBOGAMBOGA
2
MBOGAMBOGA SALADI
1
MCHICHA
16
MHOGO
5
MNAVU
2
MPUNGA
425
MTAMA
183
MWANI
3
NGANO
3
NJEGERE
4
NJUGUMAWE
49
NYANYA
32
NYANYA CHUNGU
3
PAMBA
102
PILIPILI
2
PILIPILI HOHO
3
SOYA
1
SPINACHI
5
TANGAWIZI
3
TEMBELE
5
TIKITIMAJI
1
TUMBAKU
37
UFUTA
116
ULEZI
19
UWELE
9
VIAZI MVIRINGO
42
VIAZI VIKUU
11
VIAZI VITAMU
309
VITUNGUU MAJI
10
Did you sell any of the [CROP] produced in the long rainy season 2014?
4436
1542
1
2
1
yes
1799
2
no
2637
Sysmiss
1542
What was the quantity sold?
1799
4179
2
28000
What was the total value of the sales?
1799
4179
210
21000000
To which persons, firms or institutions did you sell most [CROP]? (NR ID #1)
1799
0
N01
431
N02
553
N03
404
N04
218
N05
103
N06
46
N07
32
N08
6
N09
4
N10
1
N23
1
What quantity of [CROP] did you sell to [customer #1]?
1799
4179
2
28000
What was the total value of these sales to [CUSTOMER #1]?
1799
4179
210
21000000
During which month did you sell most of [CROP] to [CUSTOMER #1]? (Month)
1799
4179
1
12
1
january
13
2
february
32
3
march
22
4
april
60
5
may
100
6
june
219
7
july
421
8
august
443
9
september
237
10
october
152
11
november
44
12
december
56
Sysmiss
4179
During which month did you sell most of [CROP] to [CUSTOMER #1]? (Year)
1799
4179
2013
2015
2013
4
2014
1726
2015
69
Sysmiss
4179
Approximately how many transactions took place while selling [CROP] to [CUSTOMER
1798
4180
1
150
Who in your household is responsible for negotiating the sale of [CROP] to [CUST
1797
4181
1
6
1
1700
2
78
3
16
4
2
6
1
Sysmiss
4181
Who in your household is responsible for negotiating the sale of [CROP] to [CUST
880
5098
1
7
1
6
2
844
3
22
4
3
5
3
6
1
7
1
Sysmiss
5098
Who in your household decided what to do with these earnings? (HH ID #1)
1796
4182
1
7
1
1715
2
66
3
12
4
2
7
1
Sysmiss
4182
Who in your household decided what to do with these earnings? (HH ID #2)
957
5021
1
7
1
3
2
929
3
18
4
2
5
3
6
1
7
1
Sysmiss
5021
To which persons, firms or institutions did you sell the second largest amount o
1802
0
99
1745
N01
7
N02
6
N03
15
N04
13
N05
7
N06
4
N07
4
N09
1
What quantity of [CROP] did you sell to [CUSTOMER #2]?
55
5923
10
5400
What was the total value of these sales to [CUSTOMER #2]?
55
5923
840
3000000
During which month did you sell most of [CROP] to [CUSTOMER #2]? (Month)
55
5923
1
12
1
january
1
2
february
0
3
march
0
4
april
1
5
may
2
6
june
4
7
july
6
8
august
8
9
september
19
10
october
6
11
november
5
12
december
3
Sysmiss
5923
During which month did you sell most of [CROP] to [CUSTOMER #2]? (Year)
55
5923
2014
2015
2014
54
2015
1
Sysmiss
5923
Approximately how many transactions took place while selling [CROP] to [CUSTOMER
55
5923
1
150
Who in your household is responsible for negotiating the sale of [CROP] to [CUST
55
5923
1
3
1
51
2
3
3
1
Sysmiss
5923
Who in your household is responsible for negotiating the sael of [CROP] to [CUST
26
5952
2
3
2
25
3
1
Sysmiss
5952
Who in your household decided what to do with these earnings? (HH ID #1)
55
5923
1
3
1
52
2
2
3
1
Sysmiss
5923
Who in your household decided what to do with these earnings? (HH ID #2)
33
5945
2
12
2
31
3
1
12
1
Sysmiss
5945
Generally, did you transport [CROP] for sale?
1799
4179
1
2
1
yes
541
2
no
1258
Sysmiss
4179
What is the average distance you transported [CROP] for sale?
541
5437
0
385
How many times did you transport [CROP] for sale during the long rainy season in
541
5437
1
28
Generally, how did you transport [CROP]?
541
5437
1
6
1
ON FOOT
95
2
bicycle
214
3
animal
69
4
car
103
5
OTHER (SPECIFY)
39
6
motorcycle
21
Sysmiss
5437
How much did you pay to transport [CROP] during the long rainy season 2014?
541
5437
0
900000
Do you have any of the harvest from the long rainy season 2012 in storage now?
4435
1543
1
2
1
yes
1123
2
no
3312
Sysmiss
1543
How much of this harvest do you still have in storage?
1123
4855
1
9480
What is your main method of storage?
1123
4855
1
5
1
LOCALLY MADE TRADITIONAL STRUCTURE
242
2
IMPROVED LOCALLY MADE STRUCTURE
39
3
MODERN STORE
16
4
SACKS / OPEN DRUM
779
5
AIRTIGHT DRUM
47
6
UNPROTECTED PILE
0
7
ceiling
0
8
OTHER (SPECIFY)
0
Sysmiss
4855
Did you do anything to protect the stored crop?
1123
4855
1
2
1
yes
356
2
no
767
Sysmiss
4855
What did you do?
357
5621
1
3
1
spraying
306
2
smoking
41
3
OTHER (SPECIFY)
10
Sysmiss
5621
When you store [CROP], what is usually the main purpose of storing it?
1123
4855
1
4
1
FOOD FOR HOUSEHOLD
851
2
TO SELL AT HIGHER PRICE
74
3
SEED FOR PLANTING
187
4
OTHER (SPECIFY)
11
Sysmiss
4855
Was any portion of the production lost post-harvest to rotting, insects, rodents
4435
1543
1
2
1
yes
133
2
no
4302
Sysmiss
1543
What was the reason for the loss?
133
5845
1
4
1
rotting
19
2
insects
37
3
pests
65
4
theft
12
5
OTHER (SPECIFY)
0
Sysmiss
5845
Out of 10 units of [CROP], how many were lost?
133
5845
1
10
1
85
2
22
3
12
4
5
5
3
6
5
10
1
Sysmiss
5845
What was the value of this lost crop?
133
5845
2
700000
How much of the harvest was consumed?
4436
1542
0
480000
How much of te harvest was stored as seed for the next planting season?
4436
1542
0
1800
How much of the harvest was given as payments for labour or non-labour payments?
4436
1542
0
3500
How much of the harvest was given away as gifts?
4436
1542
0
3520
How much of the harvest was used as animal feed?
4436
1542
0
847
What was done with the residue from this crop?
4436
1542
1
8
1
CROP PRODUCES NO RESIDUE
87
2
RESIDUE WAS LEFT IN FIELD
3447
3
mulched
194
4
FOR GRAZING OWN ANIMALS
440
5
FOR GRAZING OTHERS' ANIMALS
87
6
FEEDING OWN ANIMALS
63
7
FOR SALE
3
8
OTHER (SPECIFY)
115
Sysmiss
1542
What was the quantity sold?
202
5776
0
300
What was the total value of the sales?
202
5776
0
25000
Which persons/firms/institutions did you sell most residue from crop? (NR ID#1)
203
0
99
191
N01
9
N02
2
N08
1
Which persons/firms/institutions did you sell most residue from crop? (NR ID#2)
40
0
99
40
Case Section Roster / Line Occurrence Sequence for O/S Merge
3844
0
1
8
1
3352
2
298
3
134
4
42
5
12
6
3
7
2
8
1
Unique Household Identification NPS Y4
3844
0
CROP CODE
993
2851
11
998
11
maize
393
12
paddy
15
13
sorghum
25
14
BULRUSH MILLET
0
15
FINGER MILLET
3
16
wheat
0
17
barley
0
18
BLACK PEPPER
0
19
seaweed
1
21
cassava
0
22
SWEET POTATOES
76
23
IRISH POTATOES
19
24
yams
9
25
cocoyams
48
26
onions
2
27
ginger
2
31
beans
227
32
cowpeas
27
33
GREEN GRAM
18
34
PIGEON PEA
6
35
CHICK PEAS
1
36
BAMBARA NUTS
1
37
FIELD PEAS
1
38
MALAY APPLE
0
39
STAR FRUIT
0
41
sunflower
4
42
sesame
2
43
groundnut
47
44
PALM OIL
0
45
coconut
0
46
CASHEW NUT
0
47
soyabeans
0
48
CASTER SEED
0
50
cotton
7
51
tobacco
2
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
1
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
2
87
tomatoes
15
88
spinach
5
89
carrot
1
90
chilies
1
91
amaranths
8
92
pumpkins
7
93
cucumber
1
94
EGG PLANT
2
95
WATER MELLON
1
96
cauliflower
0
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
0
304
timber
0
305
MEDICINAL PLANT
0
306
FENCE TREE
0
851
lime
0
852
lemon
0
998
OTHER (SPECIFY)
11
Sysmiss
2851
CROP NAME
993
0
ALIZETI
4
BAMIA
2
BILINGANYA
2
BOGA
7
CHOROKO
18
DENGU
1
FIGIRI
1
HOHO
1
KABICHI
2
KARANGA
48
KAROTI
1
KUNDE
27
MAGIMBI
48
MAHARAGE
226
MAHINDI
393
MATANGO
1
MATEMBELE
3
MATIKITI MAJI
1
MBAAZI
6
MCHICHA
8
MIGOMBA
1
MPUNGA
15
MTAMA
25
MWANI
1
NGOGWE
1
NJEGERE
1
NJUGUMAWE
1
NYANYA
15
NYANYA CHUNGU
2
PAMBA
7
PILIPILI HOHO
1
SPINACHI
7
TANGAWIZI
2
TEMBELE
1
TUMBAKU
2
UFUTA
2
ULEZI
3
VIAZI MVIRINGO
19
VIAZI VIKUU
9
VIAZI VITAMU
76
VITUNGUU MAJI
2
Did you sell any of the [CROP] produced in the long rainy season 2012?
993
2851
1
2
1
yes
296
2
no
697
Sysmiss
2851
What was the quantity sold?
296
3548
3
35000
What was the total value of the sales?
296
3548
120
8040000
To which persons, firms or institutions did you sell most [CROP]? (NR ID #1)
296
0
N01
67
N02
77
N03
64
N04
30
N05
36
N06
13
N07
5
N08
4
What quantity of [CROP] did you sell to [customer #1]?
296
3548
3
35000
What was the total value of these sales to [CUSTOMER #1]?
296
3548
700
6300000
During which month did you sell most of [CROP] to [CUSTOMER #1]? (Month)
296
3548
1
12
1
january
16
2
february
43
3
march
47
4
april
44
5
may
17
6
june
23
7
july
21
8
august
18
9
september
16
10
october
18
11
november
15
12
december
18
Sysmiss
3548
During which month did you sell most of [CROP] to [CUSTOMER #1]? (Year)
296
3548
2013
2015
2013
24
2014
185
2015
87
Sysmiss
3548
Approximately how many transactions took place while selling [CROP] to [CUSTOMER
296
3548
1
90
Person in household responsible for negotiating sale of [CROP] to [CUSTOMER#1]?
296
3548
1
3
1
270
2
20
3
6
Sysmiss
3548
Person in household responsible for negotiating sale of [CROP] to [CUSTOMER#1]?
123
3721
1
3
1
3
2
113
3
7
Sysmiss
3721
Who in your household decided what to do with these earnings? (HH ID #1)
296
3548
1
3
1
273
2
19
3
4
Sysmiss
3548
Who in your household decided what to do with these earnings? (HH ID #2)
141
3703
1
3
1
2
2
132
3
7
Sysmiss
3703
To which persons, firms or institutions did you sell the second largest amount o
296
0
99
290
N01
1
N02
2
N05
1
N06
1
N09
1
What quantity of [CROP] did you sell to [CUSTOMER #2]?
6
3838
20
2600
What was the total value of these sales to [CUSTOMER #2]?
6
3838
10000
975000
During which month did you sell most of [CROP] to [CUSTOMER #2]? (Month)
6
3838
1
11
1
january
1
2
february
0
3
march
1
4
april
1
5
may
0
6
june
0
7
july
0
8
august
0
9
september
1
10
october
1
11
november
1
12
december
0
Sysmiss
3838
During which month did you sell most of [CROP] to [CUSTOMER #2]? (Year)
6
3838
2013
2015
2013
1
2014
4
2015
1
Sysmiss
3838
Approximately how many transactions took place while selling [CROP] to [CUSTOMER
6
3838
1
90
Person in household responsible for negotiating sale of [CROP] to [CUSTOMER#2]?
6
3838
1
2
1
5
2
1
Sysmiss
3838
Person in household responsible for negotiating sale of [CROP] to [CUSTOMER#2]?
2
3842
2
2
2
2
Sysmiss
3842
Who in your household decided what to do with these earnings? (HH ID #1)
6
3838
1
2
1
5
2
1
Sysmiss
3838
Who in your household decided what to do with these earnings? (HH ID #2)
3
3841
2
2
2
3
Sysmiss
3841
Generally, did you transport [CROP] for sale?
296
3548
1
2
1
yes
121
2
no
175
Sysmiss
3548
What is the average distance you transported [CROP] for sale?
121
3723
1
164
How many times did you transport [CROP] for sale during the long rainy season in
121
3723
1
67
Generally, how did you transport [CROP]?
121
3723
1
6
1
ON FOOT
31
2
bicycle
51
3
animal
5
4
car
21
5
OTHER (SPECIFY)
11
6
motorbike
2
Sysmiss
3723
How much did you pay to transport [CROP] during the long rainy season 2014?
121
3723
0
562500
Do you have any of the harvest from the long rainy season 2014 in storage now?
993
2851
1
2
1
yes
190
2
no
803
Sysmiss
2851
How much of this harvest do you still have in storage?
190
3654
1
1296
What is your main method of storage?
190
3654
1
5
1
LOCALLY MADE TRADITIONAL STRUCTURE
19
2
IMPROVED LOCALLY MADE STRUCTURE
1
3
MODERN STORE
4
4
SACKS / OPEN DRUM
164
5
AIRTIGHT DRUM
2
6
UNPROTECTED PILE
0
7
ceiling
0
8
OTHER (SPECIFY)
0
Sysmiss
3654
Did you do anything to protect the stored crop?
190
3654
1
2
1
yes
48
2
no
142
Sysmiss
3654
What did you do?
48
3796
1
2
1
spraying
37
2
smoking
11
3
OTHER (SPECIFY)
0
Sysmiss
3796
When you store [CROP], what is usually the main purpose of storing it?
190
3654
1
3
1
FOOD FOR HOUSEHOLD
156
2
TO SELL AT HIGHER PRICE
6
3
SEED FOR PLANTING
28
4
OTHER (SPECIFY)
0
Sysmiss
3654
Was any portion of the production lost post-harvest to rotting, insects, rodents
992
2852
1
2
1
yes
27
2
no
965
Sysmiss
2852
What was the reason for the loss?
27
3817
1
3
1
rotting
6
2
insects
9
3
pests
12
4
theft
0
5
OTHER (SPECIFY)
0
Sysmiss
3817
Out of 10 units of [CROP], how many were lost?
27
3817
0
10
0
1
1
21
4
1
5
2
6
1
10
1
Sysmiss
3817
What was the value of this lost crop?
29
3815
0
100000
How much of the harvest was consumed?
993
2851
0
7000
How much of te harvest was stored as seed for the next planting season?
993
2851
0
150
How much of the harvest was given as payments for labour or non-labour payments?
993
2851
0
864
How much of the harvest was given away as gifts?
993
2851
0
1200
How much of the harvest was used as animal feed?
993
2851
0
108
What was done with the residue from this crop?
993
2851
1
8
1
CROP PRODUCES NO RESIDUE
29
2
RESIDUE WAS LEFT IN FIELD
733
3
mulched
46
4
FOR GRAZING OWN ANIMALS
100
5
FOR GRAZING OTHERS' ANIMALS
21
6
FEEDING OWN ANIMALS
31
7
FOR SALE
1
8
OTHER (SPECIFY)
32
Sysmiss
2851
What was the quantity sold?
53
3791
0
150
What was the total value of the sales?
53
3791
0
1000
Which persons/firms/institutions did you sell most residue from crop? (NR ID#1)
53
0
99
52
N02
1
Which persons/firms/institutions did you sell most residue from crop? (NR ID#2)
0
0
Case Section Roster / Line Occurrence Sequence for O/S Merge
5540
0
1
14
1
3352
2
764
3
529
4
346
5
213
6
129
7
80
8
51
9
36
10
21
11
9
12
5
13
3
14
2
Unique Household Identification NPS Y4
5540
0
plot
3304
0
M1
2549
M11
1
M2
500
M3
160
M4
56
M5
24
M6
8
M7
1
M8
2
V2
3
CROP CODE
3301
2239
38
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
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
1
39
STAR FRUIT
4
41
sunflower
0
42
sesame
0
43
groundnut
0
44
PALM OIL
0
45
coconut
2
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
1
64
cinnamon
0
65
nutmeg
0
66
clove
0
67
BREAD FRUIT
3
68
pomelo
0
69
JACK FRUIT
63
70
PASSION FRUIT
40
71
banana
904
72
avocado
309
73
mango
733
74
papaw
328
75
pineapple
78
76
orange
227
77
grapefruit
1
78
grapes
2
79
mandarin
61
80
guava
153
81
plums
19
82
apples
3
83
pears
11
84
peaches
22
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
2
99
rambutan
2
100
okra
0
101
fiwi
0
200
CUSTARD APPLE
37
201
GOD FRUIT
1
202
mitobo
0
203
plum
20
204
peaches
22
205
pomegranate
11
210
date
2
211
tungamaa
1
212
vanilla
1
300
GREEN TOMATO
0
301
monkeybread
1
302
bamboo
0
303
FIREWOOD/FODDER
0
304
timber
1
305
MEDICINAL PLANT
0
306
FENCE TREE
0
851
lime
18
852
lemon
130
998
OTHER (SPECIFY)
87
Sysmiss
2239
PLEASE LIST ALL PLOTS CULTIVATED DURING THE LAST 12 MONTHS.
3302
0
APPLE
3
BUTUNDA
1
ELIMU
1
EMBE
733
EMBE NG'ONGO
4
FENESI
63
FURSADI
1
FURU
1
HAKUNA
1
KOMAMANGA
10
LIMAO
16
LIMAU
9
MACHUNGWA
227
MADALANZI
1
MAFYOKS
18
MAFYURISI
1
MAGOGWE
2
MALIMAO
5
MALIMAU
1
MAPESHENI
40
MAPINIGES
1
MASHELISHELI
2
MASTAFELI
9
MATHOMAS
1
MATOFAA
1
MATOMASI
3
MATOPETOPE
2
MATUNDA DAMU
20
MATUNDA MUNGU
1
MATUNDA NYANYA
1
MATUNDADAMU
1
MAZAMBARAU
1
MBILIMBI
3
MBIRIMBI
1
MBUYU
1
MCHENZA
61
MDIMU
6
MFULUSAJI
1
MIDIM
1
MIDIMU
2
MIEMBE
2
MIEMBENI
1
MIGOMBA
703
MIKARANGA
1
MILIMAO
16
MILIMAU
15
MIPAPAI
2
MIPERA
1
MIPINIGESI
1
MISHELISHELI
1
MISHOKISHOKI
1
MISITAFELI
1
MISTAFELI
7
MITI YA MBAO
1
MITOPETOPE
3
MKOMAMANGA
2
MKWAJU
1
MLIMAO
27
MLIMAO (LIMAO)
2
MLIMAU
38
MNDIMU
5
MSAMBIA
6
MSTAFELI
12
MTOMASI
1
MTONGA
1
MTOPETOPE
2
MTORONGONI
1
MZAMBARAO
2
MZAMBARAU
6
NANASI
78
NAZI
2
NDIMU
5
NDIZI
197
NYAMBWITA
2
PALALI
1
PAPAI
326
PARACHICHI
309
PEACHES
1
PEASI
11
PERA
153
PICHES
18
PICHEZI
1
PINDICASE
1
PINGAS
1
PINGASES
1
PINGESI
1
PINIGES
1
PINIGESI
3
PITCHES
2
SAMBIA
2
SHARAZI
1
SHOKISHOKI
1
STAFELI
15
SUNGWI
1
TENDE
2
TOPE TOPE
2
TOPETOPE
28
UKWAJU
1
VANILA
1
VINYAMBWITA
1
ZABIBU
2
ZAITUNI PORI
1
ZAMBARAO
1
ZAMBARAU
10
How many of these plants/ trees are on this plot?
3301
2239
1
30000
In what year were most of these plants/ trees planted?
3300
2240
1900
9999
How many trees/ plants were planted during the last 12 months?
3301
2239
0
5000
Was cultivation intercropped during the past long rainy season?
3301
2239
1
2
1
yes
2877
2
no
424
Sysmiss
2239
What was the reason for intercropping?
2877
2663
1
3
1
MORE FERTILE FOR SOIL
71
2
SUBSTITUTE IF EITHER CROP FAILS
2553
3
OTHER (SPECIFY)
253
Sysmiss
2663
What was the last completed production period for the [FRUIT]? (Begin Year)
3301
2239
1994
9999
What was the last completed production period for the [FRUIT]? (Begin Month)
3300
2240
1
99
1
january
257
2
february
150
3
march
134
4
april
209
5
may
250
6
june
288
7
july
170
8
august
177
9
september
99
10
october
191
11
november
252
12
december
438
99
685
Sysmiss
2240
What was the last completed production period for the [FRUIT]? (End Year)
3301
2239
2005
9999
What was the last completed production period for the [FRUIT]? (End Month)
3301
2239
1
99
1
january
376
2
february
189
3
march
139
4
april
217
5
may
148
6
june
244
7
july
232
8
august
118
9
september
153
10
october
127
11
november
133
12
december
374
99
851
Sysmiss
2239
Made decisions concerning use of [FRUIT] harvested in past 12 mo. (HH ID#1)
3301
2239
1
99
Made decisions concerning use of [FRUIT] harvested in past 12 mo. (HH ID#2)
1561
3979
1
99
What was the total amount of [FRUIT] harvested in the past 12 months?
3300
2240
0
24000
Were there any losses of [FRUIT] before the harvest?
3301
2239
1
2
1
yes
841
2
no
2460
Sysmiss
2239
What was the cause of these losses?
841
4699
1
6
1
birds
114
2
animals
54
3
insects
184
4
diseases
106
5
theft
342
6
OTHER (SPECIFY)
41
Sysmiss
4699
Case Section Roster / Line Occurrence Sequence for O/S Merge
4727
0
1
15
1
3352
2
619
3
343
4
180
5
101
6
51
7
28
8
22
9
14
10
8
11
4
12
2
13
1
14
1
15
1
Unique Household Identification NPS Y4
4727
0
plot
2490
0
M1
1454
M10
2
M2
630
M3
259
M4
87
M5
38
M6
12
M7
4
M8
1
V1
2
V2
1
CROP CODE
2487
2240
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
3
19
seaweed
0
21
cassava
855
22
SWEET POTATOES
0
23
IRISH POTATOES
0
24
yams
0
25
cocoyams
2
26
onions
0
27
ginger
0
31
beans
0
32
cowpeas
0
33
GREEN GRAM
0
34
PIGEON PEA
17
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
59
45
coconut
131
46
CASHEW NUT
274
47
soyabeans
0
48
CASTER SEED
0
50
cotton
0
51
tobacco
0
52
pyrethrum
0
53
sisal
37
54
coffee
225
55
tea
6
56
cocoa
8
57
rubber
4
58
wattle
0
59
kapok
1
60
SUGAR CANE
145
61
cardamom
6
62
jute
0
63
tamarind
18
64
cinnamon
7
65
nutmeg
0
66
clove
12
67
BREAD FRUIT
0
68
pomelo
0
69
JACK FRUIT
0
70
PASSION FRUIT
0
71
banana
2
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
9
302
bamboo
13
303
FIREWOOD/FODDER
207
304
timber
411
305
MEDICINAL PLANT
19
306
FENCE TREE
3
851
lime
0
852
lemon
0
998
OTHER (SPECIFY)
12
Sysmiss
2240
PLEASE LIST ALL CROPS CULTIVATED DURING THE LAST 12 MONTHS.
2488
0
CALPTUSI
1
CHAI
6
CHAKULA CHA MIFUGO
2
CHAKULA MIFUGO
3
CHIKICHI
59
GRAVELIA
1
GRAVELLA
1
HAKUNA
1
HAME
1
ILIKI
6
KAHAWA
225
KAKAO
8
KARAFUU
12
KARITUSI
1
KOROSHO
274
KUNI
2
KWEME
5
MAGIMBI
2
MAIDINI
1
MAYUGWA
1
MBAAZI
17
MBUMU
1
MBUYU
8
MDALASINI
7
MHOGO
855
MIANZI
13
MIAROBAINI
3
MIBOYA
1
MIEMBE
1
MIGOMBA
1
MIGUHA
1
MIHUMLA
1
MIHUMULA
8
MIHUMURA
2
MIJIMA
1
MIJOHOLO
1
MIJOHORO
2
MIKALATUSI
2
MIKARATUSI
6
MIKESHIA
1
MIKORA
1
MIKUHUNGU
1
MIKUYU
1
MILINGOTI
6
MIOMBORO
1
MIPAINA
3
MIPAINI
1
MIPANI
1
MIPINE
1
MIPOGORO
1
MIRONGE
1
MISAGI
1
MISAMBYA
2
MISANA
2
MISEDELEA
1
MISENENE
2
MISUFI
1
MITAMBA
1
MITI MBAO
3
MITI YA DAWA
6
MITI YA KIVULI
1
MITI YA KUNI
178
MITI YA MBAO
321
MITI YA UZIO
3
MITIKI
5
MITUNDU
3
MIUMULA
2
MIWA
144
MIYENZE
1
MIYUMULA
1
MJOHORO
1
MKOBEKOBE
1
MKONGE
37
MKURUNGU
1
MKWAJU
19
MKWININI
1
MNINGA
5
MPINGO
1
MPIRA
4
MPULU
2
MSAMBIA
1
MSAMIAJI
1
MTENDE
1
MTI WA DAWA
5
MTI WA KUNI
6
MTI WA MBAO
6
MTI WA MSINGISA
1
MTI YA KUNI
1
MUAROBAINI
2
MUHUMULA
1
MUHUMWA
1
MVULE
1
MWAROBAINI
1
MYUGUYU
1
NAZI
131
NDIZI
1
NDOU
1
NGWARA
1
NYUMBANI
1
PAIN
1
PAINA
4
PAINI
1
PILIPILI
1
PILIPILI MANGA
2
PINE(MITI YA MBAO)
1
QUATAMALA
1
UBUYU
1
How many of these plants/ trees are on this plot?
2486
2241
0
200000
In what year were most of these plants/ trees planted?
2486
2241
1900
9999
How many trees/ plants were planted during the last 12 months?
2486
2241
0
120000
Was cultivation intercropped during the past long rainy season?
2486
2241
1
2
1
yes
1901
2
no
585
Sysmiss
2241
What was the reason for intercropping?
1903
2824
1
3
1
MORE FERTILE FOR SOIL
52
2
SUBSTITUTE IF EITHER CROP FAILS
1641
3
OTHER (SPECIFY)
210
Sysmiss
2824
What was the last completed production period for the [FRUIT]? (Begin Year)
2486
2241
1996
9999
What was the last completed production period for the [FRUIT]? (Begin Month)
2482
2245
1
99
1
january
103
2
february
51
3
march
65
4
april
105
5
may
128
6
june
182
7
july
193
8
august
144
9
september
160
10
october
173
11
november
94
12
december
84
99
1000
Sysmiss
2245
What was the last completed production period for the [FRUIT]? (End Year)
2484
2243
1999
9999
What was the last completed production period for the [FRUIT]? (End Month)
2482
2245
1
99
1
january
87
2
february
27
3
march
70
4
april
70
5
may
59
6
june
98
7
july
177
8
august
115
9
september
111
10
october
95
11
november
119
12
december
236
99
1218
Sysmiss
2245
Who in the household made the decisions concerning the use of [FRUIT] harvested
2486
2241
1
99
Who in the household made the decisions concerning the use of [FRUIT] harvested
968
3759
0
99
What was the total amount of [FRUIT] harvested in the past 12 months?
2486
2241
0
21000
Were there any losses of [FRUIT] before the harvest?
2483
2244
1
2
1
yes
292
2
no
2191
Sysmiss
2244
What was the cause of these losses?
292
4435
1
6
1
birds
4
2
animals
73
3
insects
42
4
diseases
54
5
theft
105
6
OTHER (SPECIFY)
14
Sysmiss
4435
Case Section Roster / Line Occurrence Sequence for O/S Merge
5128
0
1
11
1
3352
2
721
3
483
4
275
5
150
6
72
7
40
8
18
9
11
10
4
11
2
Unique Household Identification NPS Y4
5128
0
Fruit Tree Crop Code
2889
2239
38
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
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
1
39
STAR FRUIT
4
41
sunflower
0
42
sesame
0
43
groundnut
0
44
PALM OIL
0
45
coconut
1
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
1
64
cinnamon
0
65
nutmeg
0
66
clove
0
67
BREAD FRUIT
3
68
pomelo
0
69
JACK FRUIT
55
70
PASSION FRUIT
40
71
banana
723
72
avocado
279
73
mango
625
74
papaw
306
75
pineapple
70
76
orange
212
77
grapefruit
1
78
grapes
2
79
mandarin
58
80
guava
146
81
plums
17
82
apples
3
83
pears
8
84
peaches
18
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
2
99
rambutan
2
100
okra
0
101
fiwi
0
200
CUSTARD APPLE
37
201
GOD FRUIT
1
202
mitobo
0
203
plum
19
204
peaches
21
205
pomegranate
10
210
date
2
211
tungamaa
1
212
vanilla
1
300
GREEN TOMATO
0
301
monkeybread
1
302
bamboo
0
303
FIREWOOD/FODDER
0
304
timber
0
305
MEDICINAL PLANT
0
306
FENCE TREE
0
851
lime
16
852
lemon
122
998
OTHER (SPECIFY)
81
Sysmiss
2239
LIST ALL FRUIT TREES REPORTED IN SECTION 6A
2889
0
APPLE
3
BUTUNDA
1
ELIMU
1
EMBE
625
EMBE NG'ONG'O
1
EMBE NG'ONGO
3
FENESI
55
FURSADI
1
FURU
1
KOMAMANGA
10
LIMAO
20
LIMAU
29
MACHUNGWA
212
MAEMBE
1
MAFYOKS
13
MAFYURISI
1
MAGOGWE
2
MALIMAO
18
MALIMAU
14
MANYAMBWITA
1
MAPERA
1
MAPESHENI
40
MAPINIGES
1
MASHELISHELI
1
MASTAFELI
18
MATHOMAS
1
MATOFAA
1
MATOMASI
2
MATOPETOPE
3
MATUNDA
1
MATUNDA DAMU
19
MATUNDA MENGINE
1
MATUNDA MUNGU
1
MBILIMBI
2
MBIRIMBI
1
MBUYU
1
MCHENZA
58
MDALANZI
1
MDIMU
3
MFULUSAJI
1
MIDIMU
2
MIFYURIKSI
1
MIGOMBA
225
MIKARANGA
1
MILIMAO
3
MILIMAU
1
MIPAPAI
2
MIPINIGESI
1
MISHELISHELI
1
MISHOKI SHOKI
1
MISTAFELI
2
MISTAFERI
1
MITOPETOPE
1
MKOMAMANGA
1
MKWAJU
1
MLIMANI
1
MLIMAO
13
MLIMAO (LIMAO)
1
MLIMAU
21
MNANASI
1
MNDIMU
3
MSAMBIA
4
MSTAFELI
1
MTOMASI
1
MTONGA
1
MTOPETOPE
2
MUHOGO
1
MZAMBARAU
4
NANASI
69
NAZI
1
NDIMU
9
NDIZI
494
NYAMBWITA
1
PALALI
1
PAPAI
305
PARACHICHI
279
PEACHES
1
PEASI
8
PERA
146
PICHES
17
PICHEZI
1
PINDICASE
1
PINGAS
1
PINGASES
1
PINGESI
1
PINIGES
1
PINIGESI
2
PITCHES
2
SAMBIA
2
SHARAZI
1
SHELISHELI
1
SHOKISHOKI
1
SITAFELI
2
STAFELI
18
SUNGWI
1
TENDE
2
TOPE TOPE
1
TOPETOPE
30
UKWAJU
1
UTORONGONI
1
VANILLA
1
VINYAMBWITA
1
ZABIBU
2
ZAITUNI
1
ZAMBARAO
2
ZAMBARAU
13
Did you sell any of the [FRUIT] collected?
2889
2239
1
2
1
yes
480
2
no
2409
Sysmiss
2239
What was the total quanity sold?
480
4648
5
14480
What was the total value of [FRUIT] sold?
480
4648
1000
2500000
Who in your household was responsible for negotiating the sale of the [FRUIT]? (
480
4648
1
4
1
445
2
32
3
2
4
1
Sysmiss
4648
Who in your household was responsible for negotiating the sale of the [FRUIT]? (
199
4929
1
7
1
1
2
193
3
3
4
1
7
1
Sysmiss
4929
Who in your household decided what to do with these earnings? (ID #1)
480
4648
1
4
1
448
2
29
3
2
4
1
Sysmiss
4648
Who in your household decided what to do with these earnings? (ID #2)
203
4925
1
7
1
3
2
197
3
2
7
1
Sysmiss
4925
Where did you sell most of the fruit? (NR ID #1)
478
0
N01
129
N02
138
N03
91
N04
72
N05
30
N06
13
N07
1
N08
3
N09
1
Where did you sell most of the fruit? (NR ID #2)
21
0
N02
7
N03
4
N04
6
N05
3
N10
1
Do you have any of this harvest in storage now?
2888
2240
1
2
1
yes
12
2
no
2876
Sysmiss
2240
How much of this harvest do you still have in storage?
12
5116
3
25
What is your main method of storage?
12
5116
1
7
1
LOCALLY MADE TRADITIONAL STRUCTURE
3
2
IMPROVED LOCALLY MADE STRUCTURE
0
3
MODERN STRUCTURE
0
4
SACKS/OPEN DRUM
1
5
AIRTIGHT DRUM
0
6
UNPROTECTED PILE
6
7
OTHER (SPECIFY)
2
Sysmiss
5116
Did you do anything to protect the stored crop?
12
5116
1
2
1
yes
1
2
no
11
Sysmiss
5116
What did you do?
1
5127
2
2
1
spraying
0
2
smoking
1
3
OTHER (SPECIFY)
0
Sysmiss
5127
Was any portion of the production lost post-harvest to rotting, insects, rodents
2888
2240
1
2
1
yes
89
2
no
2799
Sysmiss
2240
What was the reason for this loss?
89
5039
1
5
1
rotting
74
2
insects
9
3
RODENTS, PESTS
0
4
theft
5
5
OTHER (SPECIFY)
1
Sysmiss
5039
Out of 10 units of [FRUIT], how many were lost?
89
5039
1
10
1
26
2
30
3
15
4
4
5
9
8
1
10
4
Sysmiss
5039
What was the value of this lost [FRUIT]?
89
5039
0
300000
How much of the harvest was consumed?
2887
2241
0
20200
How much of te harvest was stored as seed for the next planting season?
2887
2241
0
300
How much of the harvest was given as payments for labour or non-labour payments?
2887
2241
0
800
How much of the harvest was given away as gifts?
2887
2241
0
2000
How much of the harvest was used as animal feed?
2887
2241
0
100
Case Section Roster / Line Occurrence Sequence for O/S Merge
4178
0
1
8
1
3352
2
518
3
218
4
67
5
18
6
3
7
1
8
1
Unique Household Identification NPS Y4
4178
0
Fruit Tree Crop Code
1935
2243
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
3
19
seaweed
0
21
cassava
670
22
SWEET POTATOES
0
23
IRISH POTATOES
0
24
yams
0
25
cocoyams
2
26
onions
0
27
ginger
0
31
beans
0
32
cowpeas
0
33
GREEN GRAM
0
34
PIGEON PEA
14
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
51
45
coconut
119
46
CASHEW NUT
179
47
soyabeans
0
48
CASTER SEED
0
50
cotton
0
51
tobacco
0
52
pyrethrum
0
53
sisal
28
54
coffee
176
55
tea
3
56
cocoa
7
57
rubber
4
58
wattle
0
59
kapok
1
60
SUGAR CANE
128
61
cardamom
5
62
jute
0
63
tamarind
17
64
cinnamon
7
65
nutmeg
0
66
clove
10
67
BREAD FRUIT
0
68
pomelo
0
69
JACK FRUIT
0
70
PASSION FRUIT
0
71
banana
1
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
6
302
bamboo
10
303
FIREWOOD/FODDER
151
304
timber
310
305
MEDICINAL PLANT
19
306
FENCE TREE
2
851
lime
0
852
lemon
0
998
OTHER (SPECIFY)
11
Sysmiss
2243
LIST ALL FRUIT TREES REPORTED IN SECTION 6A
1935
0
CALPTUSI
1
CHAI
3
CHAKULA CHA MIFUGO
3
CHAKULA MIFUGO
2
CHIKICHI
12
DAWA
6
GRAVELIA
1
GRAVELLA
1
HILIKI
4
HIRIKI
1
KAHAWA
176
KAKAO
5
KARAFUU
10
KARITUSI
1
KOKOA
1
KOROSHO
154
KUNI
75
KWEME
5
MACHIKICHI
3
MAEMBE
1
MAGIMBI
2
MAIDINI
1
MAWESE
4
MAYUGWA
1
MBAAZI
14
MBAO
48
MBUMU
1
MBUYU
5
MCHIKICHI
19
MDALASINI
7
MIANZI
9
MIAROBAINI
3
MIBOYA
1
MICHIKICHI
13
MIEMBE
1
MIGOMBA
1
MIGUHA
1
MIHOGO
670
MIHUMLA
1
MIHUMULA
6
MIHUMURA
1
MIJOHOLO
1
MIJOHORO
3
MIKALATUSI
1
MIKARATUSI
8
MIKESHIA
1
MIKOKOA
1
MIKORA
1
MIKOROSHO
7
MIKUHUNGU
1
MIKUYU
1
MILINGOTI
4
MINAZI
18
MIOMBORO
1
MIPAINI
2
MIPINE
2
MIPOGORO
1
MIRONGE
1
MISAGI
1
MISAMBYA
1
MISANA
2
MISEDELA
1
MISENENE
1
MISUFI
1
MITAMBA
1
MITI YA MBAO
1
MITI YA DAWA
4
MITI YA KIVULI
1
MITI YA KUNI
58
MITI YA MBAO
189
MITI YA UZIO
2
MITIKI
5
MITUNDU
1
MIUMULA
1
MIWA
127
MIYUMULA
1
MKAA
1
MKONGE
28
MKOROSHO
18
MKURUNGU
1
MKWAJU
18
MKWININI
1
MLINGOTI/PAIN
1
MNAZI
27
MNINGA
4
MPINGO
1
MPIRA
4
MPULU
1
MSAMBIAZI
1
MSAMIAJI
1
MTENDE
1
MTI WA DAWA
1
MTI WA KUNI
2
MTI WA MBAO
2
MTI WA MISINGISA
1
MUAROBAINI
2
MUHUMULA
1
MUHUMWA
1
MVULE
1
MWAROBAINI
1
MYUGUYU
1
NAZI
73
NDOU
1
NGWARA
1
PAINA
4
PAINI
1
PILIPILI
1
PILIPILI MANGA
2
PINE(MITI YA MBAO
1
QUATAMALA
1
UBUYU
1
ULANZI
2
Did you sell any of the [FRUIT] collected?
1936
2242
1
2
1
yes
477
2
no
1459
Sysmiss
2242
What was the total quanity sold?
476
3702
0
15000
What was the total value of [FRUIT] sold?
477
3701
750
17550000
Who in your household was responsible for negotiating the sale of the [FRUIT]? (
477
3701
1
3
1
457
2
18
3
2
Sysmiss
3701
Who in your household was responsible for negotiating the sale of the [FRUIT]? (
205
3973
1
12
1
2
2
197
3
4
4
1
12
1
Sysmiss
3973
Who in your household decided what to do with these earnings? (ID #1)
476
3702
1
3
1
462
2
13
3
1
Sysmiss
3702
Who in your household decided what to do with these earnings? (ID #2)
234
3944
1
12
1
1
2
227
3
4
5
1
12
1
Sysmiss
3944
Where did you sell most of the fruit? (NR ID #1)
477
0
N01
82
N02
152
N03
110
N04
66
N05
40
N06
17
N07
3
N08
3
N09
4
Where did you sell most of the fruit? (NR ID #2)
4
0
N04
4
Do you have any of this harvest in storage now?
1937
2241
1
2
1
yes
172
2
no
1765
Sysmiss
2241
How much of this harvest do you still have in storage?
173
4005
0
1500
What is your main method of storage?
171
4007
1
7
1
LOCALLY MADE TRADITIONAL STRUCTURE
26
2
IMPROVED LOCALLY MADE STRUCTURE
3
3
MODERN STRUCTURE
1
4
SACKS/OPEN DRUM
74
5
AIRTIGHT DRUM
4
6
UNPROTECTED PILE
52
7
OTHER (SPECIFY)
11
Sysmiss
4007
Did you do anything to protect the stored crop?
171
4007
1
2
1
yes
3
2
no
168
Sysmiss
4007
What did you do?
3
4175
1
2
1
spraying
1
2
smoking
2
3
OTHER (SPECIFY)
0
Sysmiss
4175
Was any portion of the production lost post-harvest to rotting, insects, rodents
1935
2243
1
2
1
yes
11
2
no
1924
Sysmiss
2243
What was the reason for this loss?
11
4167
1
5
1
rotting
4
2
insects
2
3
RODENTS, PESTS
3
4
theft
1
5
OTHER (SPECIFY)
1
Sysmiss
4167
Out of 10 units of [FRUIT], how many were lost?
11
4167
1
10
1
5
2
3
6
1
7
1
10
1
Sysmiss
4167
What was the value of this lost [FRUIT]?
12
4166
0
100000
How much of the harvest was consumed?
1935
2243
0
21000
How much of te harvest was stored as seed for the next planting season?
1935
2243
0
63
How much of the harvest was given as payments for labour or non-labour payments?
1935
2243
0
300
How much of the harvest was given away as gifts?
1935
2243
0
4200
How much of the harvest was used as animal feed?
1935
2243
0
500
Case Section Roster / Line Occurrence Sequence for O/S Merge
4823
0
1
7
1
3352
2
957
3
330
4
146
5
29
6
7
7
2
Unique Household Identification NPS Y4
4823
0
Crop Name
3209
0
ALIZETI
117
CHIKICHI
12
KAHAWA
6
KARANGA
32
KOROSHO
1
MAHINDI
2061
MCHIKICHI
7
MHOGO
220
MIHOGO
1
MPUNGA
531
MTAMA
157
PUMBA
1
PUMBA ZA MAHINDI
1
UFUTA
2
ULEZI
7
UWELE
5
VIAZI VITAMU
48
Crop Code
3209
1614
11
54
11
maize
2065
12
paddy
528
13
sorghum
156
14
BULRUSH MILLET
5
15
FINGER MILLET
7
16
wheat
0
17
barley
0
18
BLACK PEPPER
0
19
seaweed
0
21
cassava
221
22
SWEET POTATOES
49
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
119
42
sesame
1
43
groundnut
32
44
PALM OIL
19
45
coconut
0
46
CASHEW NUT
1
47
soyabeans
0
48
CASTER SEED
0
50
cotton
0
51
tobacco
0
52
pyrethrum
0
53
sisal
0
54
coffee
6
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
1614
Processed / By-Product
3209
1614
1
2
1
processed
2526
2
BY-PRODUCT
683
Sysmiss
1614
What is the by-product produced from this crop?
3209
1614
1
18
1
flour
1969
2
seed
394
3
PALM OIL
76
4
juice
1
5
thread
0
6
pulp
0
7
rubber
0
8
OTHER (SPECIFY)
51
9
MAIZE BRAN
463
10
WET HUSK (WHEAT BARLEY)
49
11
RICE COVER
181
12
juice
1
13
thread
1
14
pulp
0
15
PALM OIL
7
16
OUTER COVER
2
17
NO WASTE
2
18
OTHER (SPECIFY)
12
Sysmiss
1614
What is the quantity produced in the last 12 months? AMOUNT
3209
1614
1
7800
What is the quantity produced in the last 12 months? UNIT
3209
1614
1
2
1
kg
3114
2
litre
95
Sysmiss
1614
In total, how much [CROP] did you use in total as input for the [BY_PRODUCT]?
3209
1614
2
7800
Was any [BY-PRODUCT] sold?
3209
1614
1
2
1
yes
50
2
no
3159
Sysmiss
1614
How much was sold? AMOUNT
50
4773
1
2970
How much was sold? UNIT
50
4773
1
2
1
kg
46
2
litre
4
Sysmiss
4773
How much [CROP] did you use as input for the sold [BY-PRODUCT]?
50
4773
0
4000
Who in your household was responsible for negotiating the sale of [BY-PRODUCT]?
49
4774
1
2
1
44
2
5
Sysmiss
4774
Who in your household was responsible for negotiating the sale of [BY-PRODUCT]?
16
4807
1
2
1
1
2
15
Sysmiss
4807
Who in your household decided what to do with these earnings? (ID #1)
50
4773
1
2
1
48
2
2
Sysmiss
4773
Who in you household decided what to do with these earnings? (ID #2)
30
4793
1
2
1
1
2
29
Sysmiss
4793
What was total sales in shillings?
50
4773
350
2970000
Where did you sell most of the [BY-PRODUCT] that you sold? (NR #1)
50
0
N01
4
N02
11
N03
14
N04
8
N05
5
N06
6
N09
2
Where did you sell most of the [BY-PRODUCT] that you sold? (NR #2)
1
0
N10
1
Did you incur any other expenses such as labor costs, additional inputs etc. in
3209
1614
1
2
1
yes
2245
2
no
964
Sysmiss
1614
What were the total costs of these additional expenses?
2245
2578
100
360000
Case Section Roster / Line Occurrence Sequence for O/S Merge
32640
0
1
15
1
3352
2
2092
3
2092
4
2092
5
2092
6
2092
7
2092
8
2092
9
2092
10
2092
11
2092
12
2092
13
2092
14
2092
15
2092
Unique Household Identification NPS Y4
32640
0
Item Code
31380
1260
1
15
1
HAND HOE
2092
2
HAND-POWERED SPRAYER
2092
3
OX PLOUGH
2092
4
OX SEED PLANTER
2092
5
OX CART
2092
6
tractor
2092
7
TRACTOR PLOUGH
2092
8
TRACTOR HARROW
2092
9
SHELLER/THRESHER
2092
10
HAND MILL/GRINDER
2092
11
WATERING CAN
2092
12
FARM BUILDINGS/STORAGE FACILITIES
2092
13
GERI CANS/DRUMS
2092
14
POWER TILLER
2092
15
OTHER (SPECIFY)
2092
Sysmiss
1260
How many [ITEM] does the household own?
31380
1260
0
31
What is the value of the [ITEM] if sold?
4272
28368
0
34000000
Did the household own [ITEM] during the last 12 months?
31378
1262
1
2
1
yes
4200
2
no
27178
Sysmiss
1262
Did you use [ITEM] in the last 12 months
4196
28444
1
2
1
yes
4105
2
no
91
Sysmiss
28444
What was the reason for not using [ITEM]?
87
32553
1
5
1
NO NEED FOR ONE
70
2
NEEDS REPAIR/SICK
11
3
LENT TO OTHERS
0
4
RENTED TO OTHERS
0
5
other
6
Sysmiss
32553
Did your household rent or borrow any [ITEM] for use in the last 12 months?
31379
1261
1
2
1
yes
1461
2
no
29918
Sysmiss
1261
How many [ITEM] did the household rent or borrow in the last 12 months?
1460
31180
1
16
1
911
2
236
3
18
4
226
5
2
6
45
7
2
8
14
10
1
12
4
16
1
Sysmiss
31180
Where did your household rent or borrow [ITEM] from last 12 months?
1461
0
N01
194
N02
268
N03
339
N04
265
N05
162
N06
98
N07
59
N08
37
N09
15
N10
11
N11
9
N12
2
N99
2
How much did your household pay to rent or borrow [ITEM] last 12 months?
1461
31179
0
1180000
Case Section Roster / Line Occurrence Sequence for O/S Merge
11724
0
1
5
1
3352
2
2093
3
2093
4
2093
5
2093
Unique Household Identification NPS Y4
11724
0
Source ID
10460
1264
1
5
1
GOVERNMENT EXTENSION
2092
2
ngo
2092
3
COOPERATIVE/FARMER'S ASSOCIATION
2092
4
LARGE SCALE FARMER
2092
5
other
2092
Sysmiss
1264
In the last 12 months, did you receive any advice from [SOURCE] about [SEEDS/ PL
10460
1264
1
2
1
yes
184
2
no
10276
Sysmiss
1264
In the last 12 months, did you receive any advice from [SOURCE] about [FERTILIZE
10460
1264
1
2
1
yes
157
2
no
10303
Sysmiss
1264
In the last 12 months, did you receive any advice from [SOURCE] about [LAND MANA
10460
1264
1
2
1
yes
65
2
no
10395
Sysmiss
1264
In the last 12 months, did you receive any advice from [SOURCE] about [AGRO PROC
10460
1264
1
2
1
yes
31
2
no
10429
Sysmiss
1264
In the last 12 months, did you receive any advice from [SOURCE] about [MARKETING
10460
1264
1
2
1
yes
91
2
no
10369
Sysmiss
1264
In the last 12 months, did you receive any advice from [SOURCE] about [FISHING P
10460
1264
1
2
1
yes
8
2
no
10452
Sysmiss
1264
In the last 12 months, did you receive any advice from [SOURCE] about [LIVESTOCK
10460
1264
1
2
1
yes
38
2
no
10422
Sysmiss
1264
In the last 12 months, did you receive any advice from [SOURCE] about [PREVENTIO
10460
1264
1
2
1
yes
63
2
no
10397
Sysmiss
1264
ENUMERATOR, DID THE RESPONDENT ANSWER YES FOR ANY TYPE OF ADVICE IN QUESTION 1?
10456
1268
1
2
1
yes
292
2
no
10164
Sysmiss
1268
Who in your household received advice from [SOURCE]? (ID #1)
292
11432
1
10
1
268
2
20
3
2
4
1
10
1
Sysmiss
11432
Who in your household received advice from [SOURCE]? (ID #2)
59
11665
1
2
1
2
2
57
Sysmiss
11665
Who in your household received advice from [SOURCE]? (ID #3)
1
11723
3
3
3
1
Sysmiss
11723
Who in your household received advice from [SOURCE]? (ID #4)
0
11724
Sysmiss
11724
How would you rate the advice received?
292
11432
1
3
1
good
222
2
average
64
3
bad
6
Sysmiss
11432
Did you pay anything in order to receive the advice?
292
11432
1
2
1
yes
18
2
no
274
Sysmiss
11432
How much did you pay?
18
11706
0
150000
How many times did someone from [SOURCE] visit your farm in the past 12 months?
292
11432
0
24
Case Section Roster / Line Occurrence Sequence for O/S Merge
17996
0
1
8
1
3352
2
2092
3
2092
4
2092
5
2092
6
2092
7
2092
8
2092
Unique Household Identification NPS Y4
17996
0
Source ID
16736
1260
1
8
1
GOVERNMENT EXTENSION
2092
2
ngo
2092
3
COOPERATIVE/FARMER'S ASSOCIATION
2092
4
LARGE SCALE FARMER
2092
5
radio
2092
6
publication
2092
7
neighbour
2092
8
OTHER (SPECIFY)
2092
Sysmiss
1260
In the past 12 months did anyone in your household receive any information about
16736
1260
1
2
1
yes
1507
2
no
15229
Sysmiss
1260
Did you pay anything in order to receive the advice?
1239
16757
1
2
1
yes
12
2
no
1227
Sysmiss
16757
How much did you pay?
11
17985
0
15000
Case Section Roster / Line Occurrence Sequence for O/S Merge
3352
0
1
1
1
3352
Unique Household Identification NPS Y4
3352
0
ROSTER ID OF LOWEST PRESENT HOUSEHOLD MEMBER IN HH ROSTER (HH_B06)
3352
0
1
1
1
3352
Region Code
2101
1251
1
55
1
dodoma
58
2
arusha
55
3
kilimanjaro
89
4
tanga
81
5
morogoro
80
6
pwani
51
7
DAR ES SALAAM
74
8
lindi
72
9
mtwara
124
10
ruvuma
58
11
iringa
71
12
mbeya
102
13
singida
47
14
tabora
135
15
rukwa
33
16
kigoma
88
17
shinyanga
98
18
kagera
163
19
mwanza
102
20
mara
65
21
manyara
39
22
njombe
39
23
katavi
47
24
simiyu
111
25
geita
69
51
KASKAZINI UNGUJA
34
52
KUSINI UNGUJA
16
53
MJINI/MAGHARIBI UNGUJA
25
54
KASKAZINI PEMBA
40
55
KUSINI PEMBA
35
Sysmiss
1251
Region Name
2101
0
ARUSHA
55
DAR ES SALAAM
74
DODOMA
58
GEITA
69
IRINGA
71
KAGERA
163
KASKAZINI PEMBA
40
KASKAZINI UNGUJA
34
KATAVI
47
KIGOMA
88
KILIMANJARO
89
KUSINI PEMBA
35
KUSINI UNGUJA
16
LINDI
72
MANYARA
39
MARA
65
MBEYA
102
MJINI MAGHARIBI
25
MOROGORO
80
MTWARA
124
MWANZA
102
NJOMBE
39
PWANI
51
RUKWA
33
RUVUMA
58
SHINYANGA
98
SIMIYU
111
SINGIDA
47
TABORA
135
TANGA
81
District Code
2100
1252
1
9
1
458
2
434
3
352
4
298
5
225
6
143
7
140
8
42
9
8
Sysmiss
1252
District Name
2101
0
ARUSHA
16
ARUSHA MJINI
4
BABATI
7
BABATI MJI
2
BAGAMOYO
18
BAHI
7
BARIADI
34
BIHARAMULO
16
BUHIGWE
16
BUKOBA
24
BUKOBA MANISPAA
3
BUKOMBE
11
BUNDA
11
BUSEGA
14
BUTIAMA
8
CHAKE CHAKE
16
CHAMWINO
8
CHATO
13
CHEMBA
8
CHUNYA
8
DODOMA MJINI
11
GAIRO
10
GEITA
29
HAI
14
HANANG
15
HANDENI
7
IGUNGA
25
IKUNGI
8
ILALA
26
ILEJE
8
ILEMELA MANISPAA
4
IRINGA
14
IRINGA MANISPAA
10
ITILIMA
16
KAHAMA
36
KAHAMA MJI
12
KAKONKO
8
KALAMBO
8
KALIUA
23
KARAGWE
30
KARATU
8
KASKAZINI A
16
KASKAZINI B
18
KASULU
13
KASULU MJI
13
KATI
14
KIBAHA
4
KIBAHA MJI
1
KIBONDO
8
KIGOMA
10
KIGOMA MANISPAA
7
KILINDI
16
KILOLO
16
KILOMBERO
11
KILOSA
12
KILWA
17
KINONDONI
21
KISARAWE
8
KISHAPU
19
KITETO
5
KONDOA
8
KONGWA
8
KOROGWE
14
KUSINI
2
KWIMBA
28
KYELA
7
KYERWA
24
LINDI
23
LINDI MANISPAA
1
LIWALE
8
LUDEWA
8
LUSHOTO
24
MAFINGA MJI
1
MAGHARIBI
20
MAGU
11
MAKAMBAKO MJI
2
MANYONI
19
MASASI
29
MASASI MJI
12
MASWA
24
MBARALI
22
MBEYA
13
MBEYA JIJI
5
MBINGA
9
MBOGWE
8
MBOZI
16
MBULU
10
MEATU
23
MERU
14
MICHEWENI
16
MISSENYI
8
MISUNGWI
16
MJINI
5
MKALAMA
8
MKOANI
19
MKURANGA
7
MLELE
24
MOMBA
8
MONDULI
6
MOROGORO
11
MOROGORO MANISPAA
13
MOSHI
27
MOSHI MANISPAA
5
MPANDA
16
MPANDA MJI
7
MPWAPWA
8
MTWARA MANISPAA
1
MTWARA VIJIJINI
19
MUFINDI
30
MUHEZA
8
MULEBA
35
MUSOMA
8
MVOMERO
8
MWANGA
6
NACHINGWEA
16
NAMTUMBO
8
NANYUMBU
16
NEWALA
24
NGARA
23
NGORONGORO
7
NJOMBE
8
NJOMBE MJI
5
NKASI
13
NYAMAGANA MANISPAA
3
NYANG'HWALE
8
NYASA
8
NZEGA
32
PANGANI
10
ROMBO
15
RORYA
16
RUANGWA
7
RUFIJI
13
RUNGWE
15
SAME
14
SENGEREMA
21
SERENGETI
16
SHINYANGA MANISPAA
7
SIHA
8
SIKONGE
15
SINGIDA
8
SINGIDA MJINI
4
SINYANGA
24
SONGEA
8
SONGEA MANISPAA
11
SUMBAWANGA
7
SUMBAWANGA MANISPAA
5
TABORA MANISPAA
8
TANDAHIMBA
23
TANGA
2
TARIME
6
TEMEKE
27
TUNDURU
14
UKEREWE
19
ULANGA
15
URAMBO
8
UVINZA
13
UYUI
24
WANG'ING'OMBE
16
WETE
24
Ward Code
2101
1251
11
421
Ward Name
2101
0
**CONFIDENTIAL**
2101
Village / Enumeration Area Code
2101
1251
1
350
Village / Enumeration Area Name
2100
0
**CONFIDENTIAL**
2100
Kitongoji or MTAA name
2080
0
**CONFIDENTIAL**
2080
Household Code
2100
1252
1000
8968
Name of household head
2098
0
**CONFIDENTIAL**
2098
Name of household head from NPS year 3
0
0
Full household identification from NPS year 3
0
0
ROSTER ID OF THE MAIN RESPONDENT OF THE AGRICULTURE QUESTIONNAIRE
2098
1254
0
99
Name of enumerator
2098
0
**CONFIDENTIAL**
2098
Enumerator code
2100
1252
5
84
Time interview start - HR
2097
1255
1
13
1
3
2
7
3
46
4
180
5
620
6
638
7
290
8
149
9
96
10
38
11
25
12
4
13
1
Sysmiss
1255
Time interview start - MIN
2097
1255
0
59
Date of interview
2097
1255
1022015
31122014
Name of field supervisor
2100
0
**CONFIDENTIAL**
2100
Field supervisor code
2097
1255
1
8
1
278
2
308
3
397
4
283
5
299
6
66
7
319
8
147
Sysmiss
1255
Date of questionnaire inspection
2097
1255
1012015
31122014
Name of data entry clerk
2098
0
**CONFIDENTIAL**
2098
Data entry clerk code
2098
1254
10
80
Date of data entry
2098
1254
20005
20351
2ND Data entry clerk code
0
3352
Sysmiss
3352
Date of 2ND data entry
0
3352
Sysmiss
3352
Observations on the interview
2092
1260
1
2
1
yes
1921
2
no
171
Sysmiss
1260
Case Section Roster / Line Occurrence Sequence for O/S Merge
416
0
1
1
1
416
Y4 Cluster ID
416
0
10112101001
550227101002
Region
416
0
1
55
1
DODOMA
9
2
ARUSHA
11
3
KILIMANJARO
16
4
TANGA
12
5
MOROGORO
13
6
PWANI
9
7
DAR ES SALAAM
68
8
LINDI
11
9
MTWARA
18
10
RUVUMA
9
11
IRINGA
11
12
MBEYA
14
13
SINGIDA
7
14
TABORA
18
15
RUKWA
5
16
KIGOMA
14
17
SHINYANGA
13
18
KAGERA
22
19
MWANZA
18
20
MARA
11
21
MANYARA
8
22
NJOMBE
6
23
KATAVI
7
24
SIMIYU
15
25
GEITA
11
51
KASKAZINI UNGUJA
7
52
KUSINI UNGUJA
3
53
MJINI/MAGHARIBI UNGUJA
34
54
KASKAZINI PEMBA
9
55
KUSINI PEMBA
7
District
416
0
1
9
1
122
2
88
3
71
4
44
5
38
6
24
7
22
8
6
9
1
Ward
416
0
11
421
Village
416
0
1
24
Enumeration Area
416
0
1
350
Name of Village
0
0
Name of Enumerator
415
0
**CONFIDENTIAL**
415
Enumerator ID
416
0
1
8
1
49
2
46
3
60
4
44
5
46
6
63
7
48
8
60
Date of interview
412
4
1032015
31122014
Date of interview - DAY
412
4
1
31
Date of interview - MTH
412
4
1
12
1
JANUARY
43
2
FEBRUARY
35
3
MARCH
26
4
APRIL
32
5
MAY
43
6
JUNE
38
7
JULY
47
8
AUGUST
41
9
SEPTEMBER
5
10
OCTOBER
33
11
NOVEMBER
35
12
DECEMBER
34
Sysmiss
4
Date of interview - YR
412
4
2014
2015
2014
102
2015
310
Sysmiss
4
Supervisor ID
44
372
2
4
2
10
3
2
4
32
Sysmiss
372
Date of Questionnaire inspection
43
373
2112014
29112014
Date of Questionnaire inspection - DAY
43
373
2
29
Date of Questionnaire inspection - MTH
43
373
1
12
1
JANUARY
4
2
FEBRUARY
1
3
MARCH
0
4
APRIL
5
5
MAY
5
6
JUNE
2
7
JULY
6
8
AUGUST
6
9
SEPTEMBER
0
10
OCTOBER
5
11
NOVEMBER
5
12
DECEMBER
4
Sysmiss
373
Date of Questionnaire inspection - YR
43
373
2014
2015
2014
14
2015
29
Sysmiss
373
Name of data entry person
303
0
**CONFIDENTIAL**
303
Number of data entry person
303
113
7
80
Date of data entry
301
115
1012015
31072015
Date of data entry - DAY
301
115
1
31
Date of data entry - MTH
301
115
1
12
1
JANUARY
25
2
FEBRUARY
30
3
MARCH
20
4
APRIL
23
5
MAY
25
6
JUNE
21
7
JULY
45
8
AUGUST
29
9
SEPTEMBER
10
10
OCTOBER
16
11
NOVEMBER
33
12
DECEMBER
24
Sysmiss
115
Date of data entry - YR
301
115
2014
2015
2014
73
2015
228
Sysmiss
115
Number of data entry editor:
27
389
103
106
103
19
105
1
106
7
Sysmiss
389
Date of data entry check
28
388
4052015
27122015
Date of data entry check - DAY
28
388
4
27
Date of data entry check - MTH
28
388
3
12
1
JANUARY
0
2
FEBRUARY
0
3
MARCH
1
4
APRIL
4
5
MAY
8
6
JUNE
5
7
JULY
5
8
AUGUST
3
9
SEPTEMBER
0
10
OCTOBER
0
11
NOVEMBER
0
12
DECEMBER
2
Sysmiss
388
Date of data entry check - YR
28
388
2014
2015
2014
1
2015
27
Sysmiss
388
Village or MTAA office
415
1
1
4
1
SEEN AND USED
319
2
SEEN BUT NOT USED
6
3
REPORTED BUT NOT SEEN
1
4
NO
89
Sysmiss
1
Publicly accessible notice board
415
1
1
4
1
SEEN AND USED
136
2
SEEN BUT NOT USED
4
3
REPORTED BUT NOT SEEN
7
4
NO
268
Sysmiss
1
Recent village information on the notice board
415
1
1
4
1
SEEN AND USED
137
2
SEEN BUT NOT USED
3
3
REPORTED BUT NOT SEEN
10
4
NO
265
Sysmiss
1
Filing cabinet in village or MTAA office
415
1
1
4
1
SEEN AND USED
228
2
SEEN BUT NOT USED
2
3
REPORTED BUT NOT SEEN
31
4
NO
154
Sysmiss
1
Vital registration book of births and deaths (up-to-date)
415
1
1
4
1
SEEN AND USED
46
2
SEEN BUT NOT USED
5
3
REPORTED BUT NOT SEEN
56
4
NO
308
Sysmiss
1
Meeting schedule
415
1
1
4
1
SEEN AND USED
131
2
SEEN BUT NOT USED
6
3
REPORTED BUT NOT SEEN
99
4
NO
179
Sysmiss
1
Minutes of meeting (quarterly for past year)
415
1
1
4
1
SEEN AND USED
167
2
SEEN BUT NOT USED
5
3
REPORTED BUT NOT SEEN
123
4
NO
120
Sysmiss
1
Village or mtaa register
415
1
1
4
1
SEEN AND USED
146
2
SEEN BUT NOT USED
13
3
REPORTED BUT NOT SEEN
103
4
NO
153
Sysmiss
1
Suggestion box
415
1
1
4
1
SEEN AND USED
83
2
SEEN BUT NOT USED
13
3
REPORTED BUT NOT SEEN
5
4
NO
314
Sysmiss
1
Latitude (South) Grades
416
0
**CONFIDENTIAL**
403
.
13
Latitude (South) Min
416
0
**CONFIDENTIAL**
403
.
13
Latitude (South) Sec
416
0
**CONFIDENTIAL**
403
.
13
Longitude (East) Grades
416
0
**CONFIDENTIAL**
403
.
13
Longitude (East) Min
416
0
**CONFIDENTIAL**
403
.
13
Longitude (East) Sec
416
0
**CONFIDENTIAL**
403
.
13
Case Section Roster / Line Occurrence Sequence for O/S Merge
12896
0
1
31
Y4 Cluster ID
12896
0
10112101001
550227101002
Basic services ALPHABET
12896
0
A
416
AA
416
AB
416
AC
416
AD
416
AE
416
AF
416
AG
416
B
416
C
416
D
416
E
416
F
416
G
416
H
416
I
416
J
416
K
416
L
416
M
416
N
416
O
416
P
416
Q
416
R
416
S
416
T
416
U
416
V
416
W
416
X
416
Basic Services
12896
0
10
40
10
DISTANCE TO REGIONAL HEADQUARTERS
416
11
SLAUGHTER SLABS
416
12
VETERINARY CENTRE/CLINIC
416
13
DIP TANK
416
14
PRIMARY MARKET FOR LIVESTOCK
416
15
CHARCOS DAM
416
16
HIDE AND SKINS BANDAS
416
17
MILK COLLECTION CENTER
416
18
DISTANCE TO DISTRICT HEADQUARTERS
416
19
PRE-PRIMARY SCHOOL OR NURSERY SCHOOL-THE NEAREST
416
20
GOVERNMENT SECONDARY SCHOOL-THE NEAREST
416
21
PRIVATE PRIMARY SCHOOL-THE NEAREST
416
22
GOVERNMENT SECONDARY SCHOOL-THE NEAREST
416
23
PRIVATE SECONDARY SCHOOL-THE NEAREST
416
24
GOVERNMENT HEALTH CENTRE OR DISPENSARY-THE NEAREST
416
25
GOVERNMENT HOSPITAL-THE NEAREST
416
26
PRIVATE HEALTH CENTRE OR CLINIC-THE NEAREST
416
27
PRIVATE HOSPITAL-THE NEAREST
416
28
MARKET (DAILY)
416
29
MARKET (WEEKLY)
416
30
MILLING MACHINE-THE NEAREST
416
31
BANK-THE NEAREST
416
32
ATM
416
33
MOBILE MONEY AGENT POINT (MPESA, TIGO PESA, ETC)
416
34
SACCOS-THE NEAREST
416
35
VETERINARY SERVICES (DIPS AND OTHER VETERINARY SERVICES)
416
36
BIRTH AND DEATH REGISTRATION SERVICES
416
37
POLICE STATION OR POST-THE NEAREST
416
38
COURT (PRIMARY)-THE NEAREST
416
39
POST OFFICE-THE NEAREST
416
40
COMMUNITY/PUBLICLY OWNED TAP WATER-THE NEAREST
416
Is the service available?
12061
835
1
3
1
YES, WITHIN THE VILLAGE / STREET
3021
2
NO, NOT WITHIN THE VILLAGE / STREET
6181
3
NOT APPLICABLE
2859
Sysmiss
835
Cost of transport from village centre, one way, per person, by public transport?
6823
6073
0
99999
What is the distance to this service? KM
6395
6501
0
999.99
Name of the service/institution
9086
0
**CONFIDENTIAL**
9086
Case Section Roster / Line Occurrence Sequence for O/S Merge
5824
0
1
14
1
416
2
416
3
416
4
416
5
416
6
416
7
416
8
416
9
416
10
416
11
416
12
416
13
416
14
416
Y4 Cluster ID
5824
0
10112101001
550227101002
Investment Project code in alphabet
5824
0
A
416
B
416
C
416
D
416
E
416
F
416
G
416
H
416
I
416
J
416
K
416
L
416
M
416
N
416
Investment Project Code
5824
0
10
23
10
ROAD CONSTRUCTION, MAINTENANCE & REHABILITATION
416
11
MARKETS: CONSTRUCTION, MAINTENCE & REHABILITATION
416
12
WATER SUPPLY: DIGGING WELL, INSTALLING PUMP, ETC.
416
13
SCHOOL CONSTRUCTION: PRE-PRIMARY
416
14
SCHOOL MAINTENANCE: PRE-PRIMARY
416
15
SCHOOL CONSTRUCTION: PRIMARY
416
16
SCHOOL MAINTENACE: PRIMARY
416
17
SCHOOL CONSTRUCTION: SECONDARY
416
18
SCHOOL MAINTENCE: SECONDARY
416
19
HEALTH CENTRE OR DISPENSARY: CONSTRUCTION
416
20
HEALTH CENTRE OR DISPENSARY: MAINTENANCE
416
21
IRRIGATION SCHEMES
416
22
LIVESTOCK INFRASTRUCTURE (VET CENTRE, DIP TANKS ETC).
416
23
GRAIN STORAGE FACILITIES: COMMUNITY LEVEL
416
Has the village/street implemented any of the following?
5811
13
1
3
1
YES
644
2
NO
4795
3
NOT APPLICABLE
372
Sysmiss
13
How much money was raised in total for this project?
624
5200
0
810713400
What was the total amount of money contributed by community members?
632
5192
0
168000000
How were the contributions raised?
400
5424
1
3
1
VOLUNTARY
354
2
COMPULSORY
40
3
USER FEES FOR A SERVICE
6
Sysmiss
5424
Did funds come from any of the following sources?
637
5187
2
8
1
PEDP
0
2
TASAF
16
3
PADEP
3
4
DISTRICT / MUNICIPAL / CITY
345
5
CENTRAL GOVERNMENT
31
6
NGO
20
7
INTERNATIONAL ORGANISATION
31
8
OTHER
191
Sysmiss
5187
Case Section Roster / Line Occurrence Sequence for O/S Merge
416
0
1
1
1
416
Y4 Cluster ID
416
0
10112101001
550227101002
Cultivation by villages (acre)
233
183
0
35000
Cultivation by villages (percent)
266
150
0
97
Agro-business/ plantation farming by outers (acre)
224
192
0
10000
Agro-business/ plantation farming by outers (percent)
256
160
0
92.4
Forest (acre)
228
188
0
1646802
Forest (percent)
259
157
0
92.37
Grazing land for livestock (acre)
222
194
0
25614
Grazing land for livestock (percent)
255
161
0
80.87
Wetland (acre)
228
188
0
2978.2
Wetland (percent)
259
157
0
33
Residential (acre)
231
185
0
16922.5
Residential (percent)
268
148
0
100
Business (acre)
230
186
0
2223.8
Business (percent)
256
160
0
31.84
Other (acre)
224
192
0
5284.5
Other (percent)
256
160
0
95.28
Does the village have a Certificate of Village Lands?
414
2
1
2
1
YES
63
2
NO
351
Sysmiss
2
When was the Certificate issued? (Year)
58
358
1
99
1
JANUARY
5
2
FEBRUARY
4
3
MARCH
4
4
APRIL
1
5
MAY
6
6
JUNE
6
7
JULY
14
8
AUGUST
6
9
SEPTEMBER
2
10
OCTOBER
4
11
NOVEMBER
4
12
DECEMBER
1
99
1
Sysmiss
358
When was the Certificate issued? (year)
61
355
1962
2015
(a) Appropriation of land for outside investors by In the last 12 months, has an
416
0
1
2
1
YES
10
2
NO
406
(b) District or Central Government declaring land in the village as 'Reserve Lan
416
0
1
2
1
YES
6
2
NO
410
(c) Allocation of land cultivated or inhabited by villagers for public use by In
416
0
1
2
1
YES
11
2
NO
405
(a) Appropriation of land for outside investors by When did this occur? Month
7
409
1
99
1
JANUARY
2
2
FEBRUARY
1
3
MARCH
0
4
APRIL
1
5
MAY
1
6
JUNE
0
7
JULY
0
8
AUGUST
0
9
SEPTEMBER
0
10
OCTOBER
1
11
NOVEMBER
0
12
DECEMBER
0
99
1
Sysmiss
409
(a) Appropriation of land for outside investors by When did this occur? Year
10
406
1980
2015
(b) District or Central Government declaring land in the village as 'Reserve Lan
5
411
4
10
1
JANUARY
0
2
FEBRUARY
0
3
MARCH
0
4
APRIL
1
5
MAY
1
6
JUNE
0
7
JULY
1
8
AUGUST
1
9
SEPTEMBER
0
10
OCTOBER
1
11
NOVEMBER
0
12
DECEMBER
0
Sysmiss
411
(b) District or Central Government declaring land in the village as 'Reserve Lan
6
410
2014
2014
2014
6
Sysmiss
410
(c) Allocation of land cultivated or inhabited by villagers for public use by Wh
7
409
5
10
1
JANUARY
0
2
FEBRUARY
0
3
MARCH
0
4
APRIL
0
5
MAY
2
6
JUNE
1
7
JULY
0
8
AUGUST
3
9
SEPTEMBER
0
10
OCTOBER
1
11
NOVEMBER
0
12
DECEMBER
0
Sysmiss
409
(c) Allocation of land cultivated or inhabited by villagers for public use by Wh
11
405
2002
2015
2002
1
2013
2
2014
7
2015
1
Sysmiss
405
(a) Appropriation of land for outside investors by How many households were affe
10
406
0
310
(b) District or Central Government declaring land in the village as 'Reserve Lan
6
410
0
300
(c) Allocation of land cultivated or inhabited by villagers for public use by Ho
11
405
0
50
(a) Appropriation of land for outside investors by What was the value of compens
10
406
0
700000000
(b) District or Central Government declaring land in the village as 'Reserve Lan
6
410
0
0
0
6
Sysmiss
410
(c) Allocation of land cultivated or inhabited by villagers for public use by Wh
11
405
0
100000000
Case Section Roster / Line Occurrence Sequence for O/S Merge
416
0
1
1
1
416
Y4 Cluster ID
416
0
10112101001
550227101002
Are there any farmers cooperative groups in this village?
416
0
1
2
1
YES
124
2
NO
292
How many different groups are there in the community?
123
293
1
35
How many farmers participate in these cooperatives in total?
121
295
7
851
Activities cooperative members do as a group? (Buy inputs)
71
345
1
2
1
BUY INPUTS
55
2
SELL OUTPUT
16
3
IRRIGATION
0
4
CROP STORAGE
0
Sysmiss
345
Activities cooperative members do as a group? (Sell output)
105
311
1
4
1
BUY INPUTS
7
2
SELL OUTPUT
89
3
IRRIGATION
7
4
CROP STORAGE
2
Sysmiss
311
Activities cooperative members do as a group? (Irrigation)
30
386
1
4
1
BUY INPUTS
4
2
SELL OUTPUT
0
3
IRRIGATION
23
4
CROP STORAGE
3
Sysmiss
386
Activities cooperative members do as a group? (Crop Storage)
28
388
4
4
1
BUY INPUTS
0
2
SELL OUTPUT
0
3
IRRIGATION
0
4
CROP STORAGE
28
Sysmiss
388
Is it possible to buy improved maize seeds in this village?
413
3
1
2
1
YES
136
2
NO
277
Sysmiss
3
During planting time, what is the price of improved maize seed per kg here in th
135
281
300
10000
Where is the nearest supplier of improved maize seeds, outside the village?( Nam
409
0
**CONFIDENTIAL**
409
Where is the nearest supplier of improved maize seeds, outside the village? (dis
405
11
0
990
During planting time, what is the price of improved maize seed per kg at this pl
407
9
0
50000
In the past 12 months, how many households have permanently migrated OUT of this
412
4
0
800
In the past 12 months, how many households have permanently migrated INTO this v
412
4
0
200
Are there any SACCOS in this village?
416
0
1
2
1
YES
106
2
NO
310
How many members does the SACCOS have?
105
311
5
4320
Approximately, how many female members dose the SACCOS have:
103
313
4
2300
Would you say that the rains that this village had for last vuli season was:
413
3
1
5
1
FAR TOO MUCH
36
2
A BIT TOO MUCH
108
3
NEITHER TOO MUCH NOT TOO LITTLE
131
4
A BIT TOO LITTLE
49
5
FAR TOO LITTLE
89
Sysmiss
3
Would you say that the rains that this village had for last vuli season came:
413
3
1
5
1
FAR TOO MUCH
20
2
A BIT TOO MUCH
149
3
NEITHER TOO MUCH NOT TOO LITTLE
122
4
A BIT TOO LITTLE
50
5
FAR TOO LITTLE
72
Sysmiss
3
Would you say that the rains that this village had for last masika season 2010 w
416
0
1
5
1
FAR TOO MUCH
94
2
A BIT TOO MUCH
136
3
NEITHER TOO MUCH NOT TOO LITTLE
131
4
A BIT TOO LITTLE
39
5
FAR TOO LITTLE
16
Would you say that the rains that this village had for last masika season 2010 c
416
0
1
5
1
FAR TOO MUCH
50
2
A BIT TOO MUCH
160
3
NEITHER TOO MUCH NOT TOO LITTLE
145
4
A BIT TOO LITTLE
50
5
FAR TOO LITTLE
11
Do any residents of this village migrate with their livestock for all or part of
416
0
1
2
1
YES
81
2
NO
335
Where did residents of this village take their livestock? (Name of District/Coun
81
0
**CONFIDENTIAL**
81
Where did residents of this village take their livestock? (Region Code)
81
335
1
25
1
DODOMA
8
2
ARUSHA
4
3
KILIMANJARO
3
4
TANGA
2
5
MOROGORO
1
6
PWANI
1
7
DAR ES SALAAM
0
8
LINDI
0
9
MTWARA
0
10
RUVUMA
0
11
IRINGA
0
12
MBEYA
1
13
SINGIDA
2
14
TABORA
21
15
RUKWA
2
16
KIGOMA
4
17
SHINYANGA
0
18
KAGERA
9
19
MWANZA
2
20
MARA
5
21
MANYARA
4
22
NJOMBE
0
23
KATAVI
4
24
SIMIYU
4
25
GEITA
4
51
KASKAZINI UNGUJA
0
52
KUSINI UNGUJA
0
53
MJINI/MAGHARIBI UNGUJA
0
54
KASKAZINI PEMBA
0
55
KUSINI PEMBA
0
Sysmiss
335
Where did residents of this village take their livestock? (District code)
77
339
1
7
1
21
2
8
3
19
4
8
5
10
6
6
7
5
Sysmiss
339
Month people traveled outside village w/ livestock? (Jan)
81
335
0
1
0
66
1
15
Sysmiss
335
Month people traveled outside village w/ livestock? (Feb)
81
335
0
1
0
66
1
15
Sysmiss
335
Month people traveled outside village w/ livestock? (Mar)
81
335
0
1
0
67
1
14
Sysmiss
335
Month people traveled outside village w/ livestock? (Apr)
81
335
0
1
0
66
1
15
Sysmiss
335
Month people traveled outside village w/ livestock? (May)
81
335
0
1
0
60
1
21
Sysmiss
335
Month people traveled outside village w/ livestock? (Jun)
81
335
0
1
0
56
1
25
Sysmiss
335
Month people traveled outside village w/ livestock? (Jul)
81
335
0
1
0
37
1
44
Sysmiss
335
Month people traveled outside village w/ livestock? (Aug)
81
335
0
1
0
34
1
47
Sysmiss
335
Month people traveled outside village w/ livestock? (Sep)
81
335
0
1
0
40
1
41
Sysmiss
335
Month people traveled outside village w/ livestock? (Oct)
81
335
0
1
0
49
1
32
Sysmiss
335
Month people traveled outside village w/ livestock? (Nov)
81
335
0
1
0
55
1
26
Sysmiss
335
Month people traveled outside village w/ livestock? (Dec)
81
335
0
1
0
60
1
21
Sysmiss
335
Compared to what has historically happened in this village, do people today migr
81
335
1
3
1
MORE FREQUENTLY
30
2
LESS FREQUENTLY
44
3
ABOUT THE SAME
7
Sysmiss
335
Case Section Roster / Line Occurrence Sequence for O/S Merge
21632
0
1
52
Y4 Cluster ID
21632
0
10112101001
550227101002
Item ID
21626
6
101
9002
101
RICE (PADDY)
416
102
RICE (HUSKED)
416
103
MAIZE (GREEN, COB)
416
104
MAIZE (GRAIN)
416
105
MAIZE (FLOUR)
416
109
BREAD
416
110
BUNS
416
201
CASAVA FRESH
417
203
SWEET POTATOES
416
205
IRISH POTATOES
416
206
COOKING BANANAS
416
301
SUGAR
416
501
GROUNDNUTS
416
502
COCONUTS
416
701
RIPE BANANAS
416
702
CITRUS FRUITS
416
801
GOAT MEAT
416
802
BEEF
415
804
CHICKEN (LIVE)
416
807
EGGS
416
901
FRESH MILK
416
903
CANNED MILK/POWDER
416
1001
COOKING OIL
416
1003
SALT
416
1061
MILLET (GRAIN)
416
1062
SORGHUM (GRAIN)
415
1071
MILLET (FLOUR)
416
1072
SORGHUM (FLOUR)
416
1101
TEA (DRY)
416
1107
LOCAL BREWS
416
2002
1
2003
1
2021
CASAVA (DRY)
416
2022
CASAVA (FLOUR)
416
2041
COCOYAMS
416
2042
YAMS
416
2101
CIGARETTES
415
2102
MATCHES
415
2201
KEROSINE
415
2207
CHARCOAL
416
2208
MAIZE GRINDING COSTS
416
4011
BEANS
415
4012
PEAS
416
6011
CARROT
416
6012
TOMATOES
415
6013
ONIONS
415
6021
SPINACH
416
6022
CABBAGE
416
7031
PAPAYA
416
7032
MANGOES
416
8081
FRESH FISH
415
8082
DAGAA
416
9001
FIREWOOD
416
9002
BATTERIES
416
Sysmiss
6
Item Measurement (Village/Mtaa)
11073
10559
1
5
1
KILOGRAMS
4325
2
GRAMS
4126
3
LITRE
887
4
MILLILITRE
198
5
PIECES
1537
Sysmiss
10559
Item Weight (Village/Mtaa)
14460
7172
0
18500
Item Price (Village/Mtaa)
11144
10488
0
130000
Item Measurement (District Capital)
6031
15601
1
5
1
KILOGRAMS
2695
2
GRAMS
2209
3
LITRE
439
4
MILLILITRE
29
5
PIECes
659
Sysmiss
15601
Item Weight (District Capital)
6809
14823
0
8500
Item Price (District Capital)
7315
14317
0
90000
Case Section Roster / Line Occurrence Sequence for O/S Merge
391
0
1
1
1
391
1.REGION
391
0
1
55
1
DODOMA
8
2
ARUSHA
11
3
KILIMANJARO
16
4
TANGA
12
5
MOROGORO
13
6
PWANI
7
7
DAR ES SALAAM
67
8
LINDI
10
9
MTWARA
18
10
RUVUMA
9
11
IRINGA
10
12
MBEYA
11
13
SINGIDA
7
14
TABORA
18
15
RUKWA
5
16
KIGOMA
14
17
SHINYANGA
10
18
KAGERA
22
19
MWANZA
18
20
MARA
11
21
MANYARA
8
22
NJOMBE
5
23
KATAVI
7
24
SIMIYU
15
25
GEITA
11
51
KASKAZINI UNGUJA
6
52
KUSINI UNGUJA
3
53
MJINI/MAGHARIBI UNGUJA
29
54
KASKAZINI PEMBA
6
55
KUSINI PEMBA
4
2.DISTRICT
391
0
1
9
1
110
2
79
3
69
4
43
5
38
6
24
7
21
8
6
9
1
3.WARD
391
0
11
421
4.VILLAGE
391
0
1
24
5.ENUMERATION AREA
391
0
1
350
1.REGION
221
170
1
55
1
DODOMA
2
2
ARUSHA
4
3
KILIMANJARO
10
4
TANGA
7
5
MOROGORO
8
6
PWANI
1
7
DAR ES SALAAM
61
8
LINDI
2
9
MTWARA
6
10
RUVUMA
4
11
IRINGA
6
12
MBEYA
3
13
SINGIDA
3
14
TABORA
9
15
RUKWA
3
16
KIGOMA
8
17
SHINYANGA
5
18
KAGERA
16
19
MWANZA
13
20
MARA
7
21
MANYARA
2
22
NJOMBE
1
23
KATAVI
4
24
SIMIYU
6
25
GEITA
7
51
KASKAZINI UNGUJA
1
52
KUSINI UNGUJA
0
53
MJINI/MAGHARIBI UNGUJA
16
54
KASKAZINI PEMBA
5
55
KUSINI PEMBA
1
Sysmiss
170
2.DISTRICT
221
170
1
7
1
70
2
47
3
41
4
27
5
17
6
11
7
8
Sysmiss
170
3.WARD
216
175
1
383
4.ENUMERATION AREA
216
175
1
401
Source of Village prices
366
25
1
3
1
Market place
96
2
Shops/Stalls
257
3
Other
13
Sysmiss
25
GPS -1 Latitude (south) Grades 1-12
363
28
1
60
GPS -2 Latitude (south) Grades 1-12
156
235
1
11
1
7
2
17
3
21
4
13
5
19
6
32
7
6
8
11
9
10
10
17
11
3
Sysmiss
235
GPS -1 Latitude (south) Minutes 0 - 60
363
28
0
98
GPS -2 Latitude (south) Minutes 0 - 60
155
236
0
95
GPS -1 Latitude (south) Secondes 0.000 - 60.000
363
28
0
985
GPS -2 Latitude (south) Secondes 0.000 - 60.000
155
236
3
989
Source of District Capital prices
154
237
1
3
1
138
2
12
3
4
Sysmiss
237
GPS -1 Longitude (East) Grades 29-41
363
28
29
40
29
5
30
20
31
30
32
34
33
33
34
32
35
24
36
21
37
24
38
17
39
122
40
1
Sysmiss
28
GPS -2 Longitude (East) Grades 29-41
155
236
29
40
29
2
30
5
31
12
32
12
33
17
34
15
35
15
36
15
37
11
38
13
39
34
40
4
Sysmiss
236
GPS -1 Longitude (East) Minutes 0 - 60
363
28
0
95
GPS -2 Longitude (East) Minutes 0 - 60
155
236
2
99
GPS -1 Longitude (East) Secondes 0.000 - 60.000
363
28
1
998
GPS -2 Longitude (East) Secondes 0.000 - 60.000
155
236
15
999
Case Section Roster / Line Occurrence Sequence for O/S Merge
9984
0
1
24
Y4 Cluster ID
9984
0
10112101001
550227101002
Item Code
9984
0
102
1001
Item Name
9984
0
Casava fresh
1248
Cooking Oil
1248
Cooking bananas
1248
Irish potatoes
1248
Maize (grain)
1248
Millet flour
1248
Rice (husked)
1248
Sorghum (flour)
1248
Item Number
9984
0
1
3
1
3328
2
3328
3
3328
Local Unit (Village)
993
0
ALBUM
1
BAKULI
12
BATA
1
BEDE
2
CHANA 1
1
CHANE
31
CHUPA
84
CHUPA 1
1
CHUPA SODA
1
CHUPA ZA SODA
1
DEBE
122
DEKE
1
DUMLA
1
DUMU
5
FANTA
73
FUNGU
223
GUNIA
24
GUNIA 100
1
KIBABA
60
KIBAHA
1
KICHANE
22
KICHANYA
5
KIDUMU
1
KIJIKO
38
KIKOMBE
46
KIKOPO
2
KIMWALA
1
KISADO
7
KITINI
5
KOMICHI
1
KOPO
7
KOROBOI
2
KOTA
1
LITA
11
MALTA
1
MCHELE
1
MILILITA
1
MJALA
9
MKUNGU
37
MKUNGU0
1
NDOO
53
PEPSI
22
PISHI
2
PLASTIKI
4
ROBOTA
1
SADO
65
SOKO
1
Weight (KGS) (Village)
1657
8327
0
150
Price (TSH) (Village)
994
8990
0
125000
Local Unit (District)
499
0
2500
1
AMBONI
1
BAKULI
4
BEBE
1
CHANE
50
CHANYA
1
CHUPA
47
DEBE
68
DEBE 1
1
DUMLA
2
DUMU
10
FANTA
12
FUNGU
124
GUNIA
16
KIBABA
18
KICHANE
5
KICHANGA
1
KICHANI
1
KICHANYA
1
KIDUMU
3
KIJIKO
14
KIKOMBE
2
KISADO
1
KOMOCHI
1
KOPO
6
LITA
4
MALTA
1
MKUNGU
34
NDOO
17
PEPSI
8
PISHI
2
PLASTIKI
2
SADO
40
Weight (KGS) (District)
710
9274
0
150
Price (TSH) (District)
509
9475
0
130000
Case Section Roster / Line Occurrence Sequence for O/S Merge
3352
0
1
1
1
3352
Unique Household Identification NPS Y4
3352
0
Ask respondent for a teaspoonful of salt.
3351
1
1
5
1
0 PPM (NO IODINE)
544
2
BELOW 15 PPM
500
3
15 PPM AND ABOVE
2200
4
NO SALT IN HH
98
5
SALT NOT TESTED, SPECIFY REASON
9
Sysmiss
1
Over the past one week (7 days), did any people that you did not list as househo
3351
1
1
2
1
yes
1406
2
no
1945
Sysmiss
1
Over the past 12 months, has anyone in your household operated any non-agricultu
3352
0
1
2
1
yes
1630
2
no
1722
ENUMERATOR: CHECK MODULE E (LABOUR): DID ANY MEMBER REPORT YES TO QUESTIONS 3C O
1729
1623
1
2
1
yes
12
2
no
1717
Sysmiss
1623
Is anyone in the household a member of a credit or savings group (SACCOS)?
3352
0
1
2
1
yes
172
2
no
3180
Over the past 12 months, did you or anyone else in this household borrow from so
3352
0
1
2
1
yes
445
2
no
2907
Over the past 2 years, did any member of your household die, including any infan
3352
0
1
2
1
yes
177
2
no
3175
Case Section Roster / Line Occurrence Sequence for O/S Merge
3352
0
1
1
1
3352
Unique Household Identification NPS Y4
3352
0
HOUSEHOLD NUMBER
3352
0
1000
8968
Y4 ROSTER ID OF LOWEST PRESENT HOUSEHOLD MEMBER IN HH ROSTER (HH_B06)
3352
0
1
1
1
3352
Rural Households
0
3352
0
urban
0
1
rural
0
Sysmiss
3352
Domain
3352
0
1
4
1
DAR ES SALAAM
552
2
MAINLAND OTHER URBAN
544
3
MAINLAND RURAL
1776
4
zanzibar
480
Design Strata
3352
0
1
51
1
DODOMA - URBAN
16
2
DODOMA - RURAL
56
3
ARUSHA - URBAN
24
4
ARUSHA - RURAL
64
5
KILIMANJARO - URBAN
40
6
KILIMANJARO - RURAL
88
7
TANGA - URBAN
16
8
TANGA - RURAL
80
9
MOROGORO - URBAN
48
10
MOROGORO - RURAL
64
11
PWANI - URBAN
32
12
PWANI - RURAL
40
13
DAR ES SALAAM
552
14
LINDI - URBAN
16
15
LINDI - RURAL
72
16
MTWARA - URBAN
24
17
MTWARA - RURAL
120
18
RUVUMA - URBAN
24
19
RUVUMA - RURAL
48
20
IRINGA - URBAN
32
21
IRINGA - RURAL
56
22
MBEYA - URBAN
24
23
MBEYA - RURAL
88
24
SINGIDA - URBAN
16
25
SINGIDA - RURAL
40
26
TABORA - URBAN
16
27
TABORA - RURAL
128
28
RUKWA - URBAN
16
29
RUKWA - RURAL
24
30
KIGOMA - URBAN
24
31
KIGOMA - RURAL
88
32
SHINYANGA - URBAN
16
33
SHINYANGA - RURAL
96
34
KAGERA - URBAN
16
35
KAGERA - RURAL
160
36
MWANZA - URBAN
48
37
MWANZA - RURAL
96
38
MARA - URBAN
16
39
MARA - RURAL
72
40
MANYARA - URBAN
16
41
MANYARA - RURAL
48
42
NJOMBE - URBAN
16
43
NJOMBE - RURAL
32
44
KATAVI - URBAN
16
45
KATAVI - RURAL
40
46
SIMIYU - URBAN
16
47
SIMIYU - RURAL
104
48
GEITA - URBAN
16
49
GEITA - RURAL
72
50
ZANZIBAR - URBAN
272
51
ZANZIBAR - RURAL
208
Unique Cluster Identification
3352
0
10112101001
550227101002
Ward Type
3352
0
1
3
1
rural
1696
2
urban
1048
3
mixed
608
Cluster Type
3352
0
1
2
1
rural
1984
2
urban
1368
Household Weights (Trimmed & Post-Stratified)
3352
0
112.68
8999.028
Region Code
3352
0
1
55
1
dodoma
72
2
arusha
88
3
kilimanjaro
128
4
tanga
96
5
morogoro
112
6
pwani
72
7
DAR ES SALAAM
552
8
lindi
88
9
mtwara
144
10
ruvuma
72
11
iringa
88
12
mbeya
112
13
singida
56
14
tabora
144
15
rukwa
40
16
kigoma
112
17
shinyanga
112
18
kagera
176
19
mwanza
144
20
mara
88
21
manyara
64
22
njombe
48
23
katavi
56
24
simiyu
120
25
geita
88
51
KASKAZINI UNGUJA
56
52
KUSINI UNGUJA
24
53
MJINI/MAGHARIBI UNGUJA
272
54
KASKAZINI PEMBA
72
55
KUSINI PEMBA
56
Region Name
3352
0
ARUSHA
88
DAR ES SALAAM
552
DODOMA
72
GEITA
88
IRINGA
88
KAGERA
176
KASKAZINI PEMBA
72
KASKAZINI UNGUJA
56
KATAVI
56
KIGOMA
112
KILIMANJARO
128
KUSINI PEMBA
56
KUSINI UNGUJA
24
LINDI
88
MANYARA
64
MARA
88
MBEYA
112
MJINI MAGHARIBI
272
MOROGORO
112
MTWARA
144
MWANZA
144
NJOMBE
48
PWANI
72
RUKWA
40
RUVUMA
72
SHINYANGA
112
SIMIYU
120
SINGIDA
56
TABORA
144
TANGA
96
District Code
3352
0
1
9
1
984
2
704
3
568
4
360
5
304
6
200
7
176
8
48
9
8
District Name
3352
0
ARUSHA
16
ARUSHA MJINI
16
BABATI
8
BABATI MJI
8
BAGAMOYO
24
BAHI
8
BARIADI
40
BIHARAMULO
16
BUHIGWE
16
BUKOBA
24
BUKOBA MANISPAA
8
BUKOMBE
16
BUNDA
16
BUSEGA
16
BUTIAMA
16
CHAKE CHAKE
32
CHAMWINO
8
CHATO
16
CHEMBA
8
CHUNYA
8
DODOMA MJINI
24
GAIRO
16
GEITA
40
HAI
16
HANANG
16
HANDENI
8
IGUNGA
32
IKUNGI
8
ILALA
152
ILEJE
8
ILEMELA MANISPAA
16
IRINGA
16
IRINGA MANISPAA
16
ITILIMA
16
KAHAMA
40
KAHAMA MJI
16
KAKONKO
8
KALAMBO
8
KALIUA
24
KARAGWE
32
KARATU
8
KASKAZINI A
32
KASKAZINI B
24
KASULU
16
KASULU MJI
16
KATI
16
KIBAHA
8
KIBAHA MJI
8
KIBONDO
8
KIGOMA
16
KIGOMA MANISPAA
16
KILINDI
16
KILOLO
16
KILOMBERO
16
KILOSA
16
KILWA
24
KINONDONI
232
KISARAWE
8
KISHAPU
24
KITETO
8
KONDOA
8
KONGWA
8
KOROGWE
16
KUSINI
8
KWIMBA
32
KYELA
8
KYERWA
24
LINDI
24
LINDI MANISPAA
8
LIWALE
8
LONGIDO
8
LUDEWA
8
LUSHOTO
24
MAFINGA MJI
8
MAGHARIBI
224
MAGU
16
MAKAMBAKO MJI
8
MANYONI
24
MASASI
32
MASASI MJI
16
MASWA
24
MBARALI
24
MBEYA
16
MBEYA JIJI
8
MBINGA
16
MBOGWE
8
MBOZI
16
MBULU
16
MEATU
24
MERU
24
MICHEWENI
32
MISSENYI
8
MISUNGWI
16
MJINI
48
MKALAMA
8
MKOANI
24
MKURANGA
8
MLELE
24
MOMBA
8
MONDULI
8
MOROGORO
16
MOROGORO MANISPAA
24
MOSHI
32
MOSHI MANISPAA
24
MPANDA
24
MPANDA MJI
8
MPWAPWA
8
MTWARA MANISPAA
8
MTWARA VIJIJINI
24
MUFINDI
32
MUHEZA
8
MULEBA
40
MUSOMA
8
MUSOMA MANISPAA
8
MVOMERO
8
MWANGA
16
NACHINGWEA
16
NAMTUMBO
8
NANYUMBU
16
NEWALA
24
NGARA
24
NGORONGORO
8
NJOMBE
8
NJOMBE MJI
8
NKASI
16
NYAMAGANA MANISPAA
16
NYANG'HWALE
8
NYASA
8
NZEGA
32
PANGANI
16
ROMBO
16
RORYA
16
RUANGWA
8
RUFIJI
16
RUNGWE
16
SAME
16
SENGEREMA
24
SERENGETI
16
SHINYANGA MANISPAA
8
SIHA
8
SIKONGE
16
SIMANJIRO
8
SINGIDA
8
SINGIDA MJINI
8
SINYANGA
24
SONGEA
8
SONGEA MANISPAA
16
SUMBAWANGA
8
SUMBAWANGA MANISPAA
8
TABORA MANISPAA
8
TANDAHIMBA
24
TANGA
8
TARIME
8
TEMEKE
168
TUNDURU
16
UKEREWE
24
ULANGA
16
URAMBO
8
UVINZA
16
UYUI
24
WANG'ING'OMBE
16
WETE
40
Ward Code
3352
0
11
421
Ward Name
3352
0
**CONFIDENTIAL**
3352
Village Code
3352
0
1
24
Village Name
3352
0
AHAMURAMA
8
ALIAMUA B
7
ALIMUA B
1
AMANI MAKORO
8
AZIMIO
8
BALANG'DALALU
8
BANGULO
8
BONDE LA MPUNGA
8
BUBUBU
8
BUGHUDADI
8
BUGOGO
8
BUHAMA
8
BUHEKELA
8
BULANGAMILWA
8
BULYAHILU
8
BUNYAGONGO
8
BUSHIMANI
8
BUSONGO
8
BUTIAMA
8
BUYAGU
8
BUZURUGA KUSINI
8
BWAMA
8
CHAKURU
8
CHALENI KUSINI
8
CHALINZE
8
CHAMANDA
8
CHAMBEWA
8
CHAMIPULU
8
CHANGALIKWA
8
CHAPULWA
8
CHEM CHEM
8
CHISEGU
8
CHIULU
8
CHUO KIKUU
8
DARAJANI
8
DODOMA
8
ENDANACHAN
8
ENGIKARET
8
ENGURTOTO
8
FRANCIS MARIA
8
GAIRO
8
GAMBANI
8
GUA
8
HANGA
8
HARUZARE
8
HAWAI
8
HOMBOLO MAKULU
8
IBAMBULA
8
IBOSA
8
IBUMBA
8
IBWANZI
8
IDAHINA
8
IDOSELO
8
IFUNDA
8
IGULWA
8
IGUNGA
8
IHANGA
8
IKOLA STOO
8
IKOMA
8
IKUTI
8
ILALA KOTA
8
ILEGE
8
ILOGI
8
IPULI
8
IRAGUA
8
ISAMILO KASKAZINI "B"
8
ISELAMAGAZI
8
ISHUNJU
8
ITAKA
8
ITAMBA
8
ITOLWA
8
IWINDI
8
JANGA
8
KABUKU KASKAZINI
8
KAGU
8
KAITAMBUZI
8
KALIMANI
8
KAMSEKWA
8
KAMWANDA
16
KANGEME
8
KANOGE
8
KARANSI
8
KAREMA
8
KASANDA
8
KASHENYE
8
KASISI "A"
8
KASULO
8
KATORO
8
KAYANGA
8
KAZAMOYO
8
KAZUNI
8
KIANGA
8
KIBITI B
8
KIBITILWA
8
KIBOKONI
8
KIBONDEMAJI A
8
KIBONDEMAJI B
8
KIBONDENI
8
KIBWENI
8
KICHANGANI
8
KICHIWA
8
KIEMBENI
8
KIGILAGILA
8
KIGOMENI
8
KIHINANI
8
KIHONDA MBUYUNI
8
KIHOROGOTA
8
KIKELELWA
8
KIKEO
8
KIKUNGUNI
8
KILAKALA
7
KILALA KIDEWA
8
KILIMAHEWA
14
KILIMAHEWA JUU
2
KILIMANI
8
KILOLELI
8
KILUNGULE
8
KIMBUGU "A"
8
KINAMAGI
8
KINDI MSASANI
8
KINEGAMGOSI "A"
8
KINGUNGI
8
KINUNI BONDENI
8
KINYEREZI
8
KINYIKANI
8
KIONGWE
8
KIPANGANI CHINI
8
KIPANGE
8
KIPUNGUNI
8
KIPUNGUNI 'B'
8
KIRWA
8
KISANGA
8
KISANGANI
8
KISESA 'A'
8
KISIMA
8
KISIWANI
8
KISOGWE
8
KISUTU
8
KITANDI
8
KITANDU
8
KITANGA
8
KITEME
8
KITIRU
8
KITOMONDO
8
KIUNGANI
16
KIVUKONI
8
KIWANGWA
8
KIWAWA
8
KIYANGU"A"
8
KIZERUI
8
KOLILA
8
KOMBO
8
KONGOWE
8
KOTELA
8
KUMNYIKA
8
KWA BABU JESHI
8
KWA BOKO
8
KWA BOTORO
8
KWA NAJIM
8
KWA TUMBO
8
KWAGUNDA
8
KWARARA
8
KWERMUSL
8
LANG'ATA BORA
8
LIGOMA
8
LIPUTU
8
LONGALOMBOGO
8
LONGOI
8
LUGURUNI
8
LUHIMBA
8
LWENGE
8
LWEZERA
8
LYANZA
8
MABIBO
8
MAGANGA
8
MAGANZO
8
MAGENGENI
8
MAGILA
8
MAGOMENI
8
MAGUNDA
8
MAGURUWE
8
MAHURUNGA
9
MAJANI MAPANA C
8
MAJENGO
8
MAJIMATITU A
8
MAJIMOTO
8
MAJITA ROAD
8
MAKAO MAPYA
8
MAKOKA
8
MAKOLE
8
MAKONGO
8
MAKUKA
8
MALAMBA MAWILI
8
MAMBALI
8
MANDEWA
8
MANYONI
8
MAPANGA
8
MARUA
8
MASALALI
8
MASANGA
8
MASHINE YA MAJI
8
MASIKA
8
MATALA
8
MATANGINI
8
MATANKINI
8
MATEKA"A"
8
MATEMA
8
MATOGORO
8
MATOSA
8
MAVURUNZA
8
MAZIZINI
8
MBASA
8
MBELEI
8
MBEZI LUIS
8
MBINGA
8
MBORIBORINI
8
MBOZANI
8
MBUYU PACHA
8
MBUYUNI
8
MBWANGA
8
MBWEMKURU
8
MBWENI
16
MCHINGA II
8
MCHOMEKE
8
MCHULUKA
8
MELI NNE
8
MELI TANO
8
MENDO
8
MERIKEBU
8
MGAGAO
8
MGELA
8
MIEMBE SABA
8
MIGONGO
8
MIGUGU
8
MIJONGWENI
8
MIKUMI
8
MILANDA
8
MILIMANI
8
MINAZI MIREFU
8
MINAZINI
8
MIRUMBA
8
MISHENI
8
MJIMWEMA
8
MJIMWEMA "A"
8
MKALAMA
8
MKALAMO
8
MKAPA
8
MKEHA
8
MKESE
8
MKINGA
8
MKOMBWE
8
MKONYE
8
MKWINDA
8
MKWITIJUU
8
MLABANI
8
MLINGULA
8
MLOMBOJI
8
MMAZAMI
8
MNAHUKE
8
MNAZIMMOJA
8
MNYAMANI
8
MOGO
8
MOITA KILORIT
8
MOMOGU
8
MOMOKA
8
MONDULI
8
MONGOROMA
8
MPANDA HOTEL B
8
MPINDUZI
8
MRITO
8
MSANGA MKUU
8
MSANYILA
8
MSASA
8
MSHIKAMANO
8
MSIKITI DUARA
8
MSIMBA
8
MSIMBAZI
8
MSISIRI B
8
MSUFINI
8
MTALIKACHAU
8
MTAMBANI
8
MTAMBILE
8
MTANDA
8
MTANDANGO
8
MTANGA
8
MTAVIRA
8
MTERAWAMWAHI
8
MTUFAANI
8
MUHARITANI
8
MUHIDA
8
MUHULA
8
MUKIBOGOYE
8
MUKUNU
8
MUNDULI
8
MURUBANGA
8
MUVINZA
8
MVUHA
8
MWABAGALU
8
MWAKIZEGA
8
MWALINHA
8
MWALOGWABAGOLE
8
MWALUMA
8
MWAMAGUNGULI
8
MWAMAKOYE
8
MWANAKWEREKWE
8
MWANDETE
8
MWANINDWA
8
MWANINGI
8
MWASHILALAGE
8
MWASUBUYA
8
MWEMBEMKALI
8
MWIBOO
8
MZAMBARAUNI
8
MZIMUNI
8
MZINGA
8
NAGULO BAHI
8
NAKALONJI
8
NALENGWE
8
NAMTAMBALALA
8
NANJEGEJA
8
NASETANI
8
NDANYELA
8
NDITU
8
NG'WASHINOGELA
8
NGARAMTONI CHINI
8
NGUDU MJINI
8
NHC
8
NINDI
8
NJENGA
8
NKINDWABIYE
8
NKINGAMALUCHA
8
NYACHIRO
8
NYAGASENSE
8
NYAKABANGA
8
NYAKABOJA
8
NYAKASHENYI
8
NYAKAZOMBE
8
NYAKIMWE
8
NYAMATOKE
8
NYAMIKOMA
8
NYAMUSWA
8
NYANDEKWA
8
NYANGUU
8
NYANSHA
8
NYASUBI
8
NYAWA
8
NYEBURU
8
NYEGEDI
8
NYOLOLO NJIAPANDA
8
NYUMBA ZA STERLING
8
NZASA B
8
OLDONYOWAS
8
OSTERBAY
8
PANGAWE
8
PASIANSI JUU
8
PICHA YA NDEGE/LULANZI
8
PWANI
8
QALOSENDO
8
RADIENYA
8
RAHA LEO
8
RAHALEO
8
RAMADHANI
8
RUHANGA
8
RUHITA
8
RUHORO
8
RUKORA
8
RUNYINYA
8
RWAMBAIZI
8
SABASABA
8
SAJA
8
SALE
8
SAMBWENI
8
SANU BARAY
8
SANUNGU
8
SEGEREA
8
SELEM
8
SHAMIANI
8
SHANGANI
8
SHIBUMBA
8
SHIRINGA
8
SHUNGI
8
SING'IS
8
SINZA B
8
SISI KWA SISI
16
SKULI YA MAANDALIZI
8
SOKONI
40
STOPOVER
8
SUGUTA
8
TAMBUKARELI
8
TONDOONI
8
TUBUYU
8
TUNDUNI
8
TUNGAMAA
8
UBINGA
8
UDUMUKA
8
UDURU
8
UGANDA
8
ULONGONI
8
UMBINI
8
UPEMBANI
8
UPUGE
8
USA RIVER
8
USIMBA
8
USIULIZE
8
USSOKE
8
UTENGULE
8
UZI
8
VIKONGE
8
VUNILA
8
WANYERE
8
YOMBO VITUKA
8
ZASHE
8
Village / Enumeration Area Code
3352
0
1
350
Village / Enumeration Area Name
3352
0
**CONFIDENTIAL**
3352
Kitongoji or MTAA name
3269
0
**CONFIDENTIAL**
3269
Name of household head
3352
0
**CONFIDENTIAL**
3352
WAS THIS HOUSEHOLD PART OF NPS YEAR 3?
3352
0
2
2
1
yes
0
2
no
3352
Name of household head from NPS year 3
0
0
Full household identification from NPS year 3
0
0
Is this household
0
3352
1
ORIGINAL HOUSEHOLD
0
2
SPLIT-OFF HOUSEHOLD
0
Sysmiss
3352
Location of household
0
3352
1
IN SAME DWELLING
0
2
LOCAL TRACKING
0
3
DISTANCE TRACKING
0
Sysmiss
3352
Name of Tracking Target
0
0
Roster ID of Tracking Target from NPS Year 3
0
3352
Sysmiss
3352
Description of location of household
3352
0
1
1
1
yes
3352
2
no
0
Name of enumerator
3350
0
**CONFIDENTIAL**
3350
Enumerator code
3350
2
7
84
Time interview start - HR
3346
6
1
12
1
7
2
147
3
1352
4
1121
5
264
6
132
7
117
8
85
9
53
10
43
11
18
12
7
Sysmiss
6
Time interview start - MIN
3346
6
0
59
Date of interview - Stata internal form (SIF)
3350
2
19743
20348
Date of interview - DAY
3350
2
1
31
Date of interview - MTH
3350
2
1
12
1
january
378
2
february
276
3
march
195
4
april
250
5
may
366
6
june
283
7
july
383
8
august
345
9
september
40
10
october
280
11
november
272
12
december
282
Sysmiss
2
Date of interview - YR
3350
2
2014
2015
2014
840
2015
2510
Sysmiss
2
Name of field supervisor
3350
0
**CONFIDENTIAL**
3350
Field supervisor code
3350
2
1
8
1
384
2
368
3
488
4
352
5
382
6
512
7
384
8
480
Sysmiss
2
Date of questionnaire inspection - Stata internal form (SIF)
3350
2
20003
20350
Date of questionnaire inspection - DAY
3350
2
1
31
Date of questionnaire inspection MTH
3350
2
1
12
1
january
364
2
february
277
3
march
217
4
april
236
5
may
365
6
june
283
7
july
379
8
august
358
9
september
45
10
october
261
11
november
273
12
december
292
Sysmiss
2
Date of questionnaire inspection - YR
3350
2
2014
2015
2014
826
2015
2524
Sysmiss
2
Name of data entry clerk
3350
0
**CONFIDENTIAL**
3350
Data entry clerk code
3350
2
10
80
Date of data entry - Stata internal form (SIF)
3349
3
20004
20352
Date of data entry - DAY
3349
3
1
31
Date of data entry - MTH
3349
3
1
12
1
january
343
2
february
307
3
march
217
4
april
225
5
may
367
6
june
280
7
july
386
8
august
346
9
september
61
10
october
253
11
november
278
12
december
286
Sysmiss
3
Date of data entry - YR
3349
3
2014
2015
2014
817
2015
2532
Sysmiss
3
2ND Data entry clerk code
3204
148
101
107
101
666
102
535
103
630
104
484
105
352
106
281
107
256
Sysmiss
148
Date of 2ND data entry
3203
149
1012015
31122015
Date of 2ND data entry - DAY
3204
148
1
31
Date of 2ND data entry - MTH
3204
148
1
12
1
january
256
2
february
97
3
march
177
4
april
286
5
may
257
6
june
228
7
july
262
8
august
328
9
september
403
10
october
270
11
november
271
12
december
369
Sysmiss
148
Date of 2ND data entry - YR
3203
149
2014
2016
2014
67
2015
2815
2016
321
Sysmiss
149
Observations on the interview
3341
11
1
2
1
yes
3157
2
no
184
Sysmiss
11
Case Section Roster / Line Occurrence Sequence for O/S Merge
16285
0
1
33
Unique Household Identification NPS Y4
16285
0
Individual ID
16285
0
1
33
Name
16285
0
**CONFIDENTIAL**
16285
Sex
16285
0
1
2
1
male
7896
2
female
8389
In what year was [NAME] born?
16285
0
**CONFIDENTIAL**
16285
In what month was [NAME] born?
16285
0
**CONFIDENTIAL**
16285
How old is [NAME]?
16285
0
0
100
What is [NAME]'s relationship to the head of household?
16285
0
1
10
1
head
3352
2
spouse
2213
3
SON/DAUGHTER
7509
4
STEP SON / DAUGHTER
326
5
SISTER/BROTHER
223
6
grandchild
1473
7
FATHER/MOTHER
118
8
OTHER RELATIVE(SPECIFY)
811
9
LIVE-IN SERVANT
82
10
OTHER NON-RELATIVES (SPECIFY)
178
If this member was present at last survey, enter previous hh id number from trac
16285
0
99
99
99
NOT PREVIOUSLY PRESENT
16285
Did [NAME] eat meals in this household in the last 7 days?
16284
1
1
2
1
yes
15700
2
no
584
Sysmiss
1
For how many days in the last month was [NAME] present?
16285
0
0
31
For the last 12 months has [NAME] stayed in this household for 3 months or more?
16285
0
1
2
1
yes
16045
2
no
240
Cross Out ID
40
0
X
40
For how many cumulative months during the last 12 months has [NAME] been away fr
16245
40
0
12
0
14958
1
289
2
176
3
109
4
81
5
75
6
122
7
46
8
86
9
105
10
98
11
67
12
33
Sysmiss
40
What was [NAME]'s main occupation for the past 12 months?
16244
41
1
17
1
AGRICULTURE/ LIVESTOCK
4357
2
fishing
57
3
mining
9
4
tourism
4
5
goverment
290
6
parastatal
17
7
PRIVATE SECTOR
792
8
NGO/RELIGIOUS
24
9
WITH EMPLOYEES
159
10
WITHOUT EMPLOYEES
1071
11
UNPAID FAMILY WORK
1069
12
PAID FAMILY WORK
55
13
JOB SEEKERS
57
14
student
4230
15
disabled
196
16
NO JOB
716
17
TOO YOUNG
3141
Sysmiss
41
Where is [NAME]'s biological father?
16245
40
1
99
1
5865
2
113
3
152
4
35
5
20
6
13
7
13
8
5
9
5
10
14
12
1
13
2
14
1
17
1
19
4
26
1
28
2
92
1
97
LIVING OUT OF THE HOUSEHOLD
5427
98
dead
4409
99
DOESN'T KNOW
161
Sysmiss
40
What was [NAME]'s age when [NAME]'s father died?
4398
11887
0
79
How many years of school did/does [NAME]'s father have?
9993
6292
1
7
1
NO SCHOOL
3007
2
SOME PRIMARY
1122
3
COMPLETED PRIMARY
3479
4
SOME SECONDARY
160
5
COMPLETED SECONDARY
619
6
MORE THAN SECONDARY
246
7
DON'T KNOW
1360
Sysmiss
6292
Where is [NAME]'s biological mother?
16245
40
1
99
1
1580
2
5816
3
254
4
116
5
58
6
46
7
34
8
41
9
16
10
18
11
21
12
11
13
14
14
1
15
1
16
1
17
4
18
3
19
4
20
4
29
2
32
1
97
LIVING OUT OF THE HOUSEHOLD
5417
98
dead
2753
99
DON'T KNOW
29
Sysmiss
40
What was [NAME]'s age when [NAME]'s mother died?
2743
13542
0
84
How many years of school did/does [NAME]'s mother have?
8196
8089
1
7
1
NO SCHOOL
3751
2
SOME PRIMARY
730
3
COMPLETED PRIMARY
2562
4
SOME SECONDARY
151
5
COMPLETED SECONDARY
279
6
MORE THAN SECONDARY
66
7
DON'T KNOW
657
Sysmiss
8089
Is [NAME] aged 12 years or above?
16245
40
1
2
1
yes
10169
2
no
6076
Sysmiss
40
What is [NAME]'s marital status?
10169
6116
1
7
1
MONOGAMOUS MARRIED
3551
2
POLYGAMOUS MARRIED
701
3
LIVING TOGETHER
794
4
separated
356
5
divorced
233
6
NEVER MARRIED
3967
7
WIDOW(ER)
567
Sysmiss
6116
What was [NAME]'s marital status previous to this marriage(s)?
4250
12035
1
4
1
IN FIRST MARRIAGE
3246
2
PREVIOUSLY DIVORCED
606
3
PREVIOUSLY WIDOWED
115
4
MULITPLE PREVIOUS MARRIAGES
283
Sysmiss
12035
What type of marriage ceremony did [NAME] have? - 1ST
4250
12035
1
3
1
government
93
2
religion
2489
3
traditional
1668
Sysmiss
12035
What type of marriage ceremony did [NAME] have? - 2ND
100
16185
1
3
1
government
1
2
religion
71
3
traditional
28
Sysmiss
16185
What type of marriage ceremony did [NAME] have? - 3RD
9
16276
2
3
1
government
0
2
religion
8
3
traditional
1
Sysmiss
16276
What type of marriage ceremony did [NAME] have? - 4TH
1
16284
2
2
1
government
0
2
religion
1
3
traditional
0
Sysmiss
16284
Does spouse/ partner live in this household now?
5044
11241
1
2
1
yes
4794
2
no
250
Sysmiss
11241
ID code of the 1ST spouses who live in the household
4794
11491
1
32
ID code of the 2ND spouses who live in the household
40
16245
3
17
3
25
4
2
5
2
7
1
8
6
10
2
16
1
17
1
Sysmiss
16245
ID code of the 3RD spouses who live in the household
2
16283
4
18
4
1
18
1
Sysmiss
16283
ID code of the 4TH spouses who live in the household
0
16285
Sysmiss
16285
Does [NAME] have a spouse living outside of this household?
5044
11241
1
2
1
yes
532
2
no
4512
Sysmiss
11241
How many spouses does [NAME] have who are residing outside of this household?
341
15944
1
4
1
293
2
40
3
6
4
2
Sysmiss
15944
For how many years have you lived in this community?
10168
6117
0
99
0
447
1
509
2
458
3
434
4
352
5
336
6
185
7
201
8
234
9
176
10
286
11
108
12
168
13
114
14
115
15
196
16
86
17
70
18
114
19
94
20
148
21
81
22
60
23
61
24
53
25
85
26
35
27
45
28
35
29
24
30
70
31
30
32
29
33
26
34
18
35
30
36
22
37
28
38
13
39
15
40
54
41
31
42
24
43
11
44
16
45
17
46
12
47
10
48
1
49
8
50
13
51
4
52
8
53
2
54
8
55
3
56
3
57
4
58
3
60
6
61
1
63
2
64
1
65
1
66
1
68
2
70
3
72
2
73
1
79
1
81
1
99
LIVED HERE SINCE BIRTH
4323
Sysmiss
6117
From which ID_DISTRICT did you move? - NAME
5845
0
ARUMERU
22
ARUSHA
22
ARUSHA VIJIJINI
9
BABATI
25
BABATI M
1
BABATI MJINI
3
BAGAMOYO
26
BAHI
21
BARIADI
189
BIHARAMULO
22
BUHIGWE
8
BUKOBA RURAL
28
BUKOBA URBAN
33
BUKOMBE
30
BUNDA
38
BURUNDI
2
BUSEGA
27
BUTIAMA
14
CHAKECHAKE
74
CHATO
32
CHEMBA
3
CHUNYA
11
CONGO
2
DODOMA RURAL
17
DODOMA URBAN
61
GAIRO
9
GEITA
119
GEITA MJINI
5
HAI
18
HANANG
28
HANDENI
26
IGUNGA
64
IKUNGI
4
ILALA
253
ILEJE
6
INDIA
1
IRAMBA
33
IRINGA RURAL
27
ITILIMA
20
KAHAMA
97
KALIUA
21
KARAGWE
34
KARATU
10
KASKAZINI A
48
KASKAZINI B
21
KASULU
29
KATI
49
KENYA
10
KIBAHA
21
KIBAHA MJINI
5
KIBONDO
36
KIGOMA RURAL
25
KIGOMA URBAN
27
KILINDI
9
KILOMBERO
29
KILOSA
27
KILWA
35
KINONDONI
533
KISARAWE
8
KITETO
4
KONDOA
47
KONGWA
13
KOROGWE
22
KUSINI
27
KWIMBA
89
KYELA
13
LINDI RURAL
42
LINDI URBAN
13
LIWALE
14
LONGIDO
2
LUDEWA
15
LUSHOTO
47
MAFIA
3
MAGHARIBI
205
MAGU
49
MAKAMBAKO
13
MAKETE
31
MANYONI
45
MASASI
53
MASASI (V)
1
MASASI DC
3
MASASI MJINI
3
MASASI TC
2
MASWA
106
MBALALI
22
MBEYA RURAL
31
MBEYA U
3
MBEYA URBAN
26
MBINGA
14
MBOGWE
25
MBOZI
26
MBULU
12
MEATU
79
MICHWEWENI
47
MISENYE
14
MISUNGWI
41
MJINI
307
MKALAMA
9
MKOANI
49
MKURANGA
22
MLELE
10
MOMBA
3
MONDULI
6
MOROGORO
1
MOROGORO RURAL
28
MOROGORO URBAN
39
MOSHI RURAL
36
MOSHI URBAN
27
MPANDA
9
MPANDA MJINI
13
MPANDA RURAL
1
MPANDA VIJIJINI
21
MPANDA VIJIJNI
1
MPWAPWA
14
MSUMBIJI
4
MTWARA (M)
1
MTWARA MIKINDANI
10
MTWARA MJINI
2
MTWARA RURAL
26
MUFINDI
31
MUHEZA
20
MULEBA
65
MUSOMA RURAL
14
MUSOMA URBAN
26
MVOMERO
24
MWANGA
10
NACHINGWEA
20
NAMTUMBO
27
NANYUMBU
7
NEWALA
34
NGARA
38
NJOMBE
19
NJOMBE MJINI
10
NJOMBE RURAL
1
NJOMBE V
2
NJOMBE VIJIJINI
2
NKASI
28
NYAMAGANA
32
NYANG'HWALE
11
NYANG'WALE
1
NYASA
7
NZEGA
100
PANGANI
4
PWANI
1
ROMBO
28
RORYA
14
RUANGWA
9
RUFIJI
19
RUNGWE
21
RWANDA
2
SAME
37
SENGEREMA
87
SHINYANGA RURAL
24
SIHA
1
SIKONGE
28
SIMANJIRO
5
SINGIDA RURAL
31
SINGIDA URBAN
17
SONGEA RURAL
15
SONGEA URBAN
22
SONGEA VIJIJINI
2
SUMBAWANGA
22
SUMBAWANGA URBAN
10
TABORA URBAN
35
TANDAHIMBA
13
TANGA URBAN
24
TARIME
14
TEMEKE
307
TUNDURU
24
UGANDA
1
UJERUMANI
1
UKEREWE
51
ULANGA
31
URAMBA
27
UVINZA
11
UYUI
36
WAN'INGIOMBE
1
WANGING'OMBE
10
WANGINGOMBE
3
WETE
78
ZAMBIA
2
From which ID_DISTRICT did you move? - ID_REGION
5820
10465
1
55
1
dodoma
176
2
arusha
71
3
kilimanjaro
158
4
tanga
153
5
morogoro
188
6
pwani
105
7
DAR ES SALAAM
1091
8
lindi
133
9
mtwara
155
10
ruvuma
111
11
iringa
90
12
mbeya
162
13
singida
139
14
tabora
311
15
rukwa
64
16
kigoma
136
17
shinyanga
287
18
kagera
244
19
mwanza
386
20
mara
127
21
manyara
78
22
njombe
75
23
katavi
51
24
simiyu
268
25
geita
156
51
KASKAZINI UNGUJA
69
52
KUSINI UNGUJA
76
53
MJINI/MAGHARIBI UNGUJA
512
54
KASKAZINI PEMBA
125
55
KUSINI PEMBA
123
Sysmiss
10465
From which ID_DISTRICT did you move? - ID_DISTRICT
5819
10466
1
9
1
1883
2
1337
3
967
4
637
5
463
6
326
7
155
8
45
9
6
Sysmiss
10466
Why did you move here?
5843
10442
1
7
1
WORK RELATED
340
2
SCHOOL/STUDIES
58
3
marriage
1184
4
OTHER FAMILY REASONS
2347
5
BETTER SERVICES/HOUSING
1583
6
LAND/PLOT
236
7
OTHER,SPECIFY
95
Sysmiss
10442
In which ID_DISTRICT were you born? - NAME
5845
0
ARUMERU
33
ARUSHA
16
ARUSHA VIJIJINI
1
ARUSHA RURAL
1
ARUSHA V
1
ARUSHA VIJIJINI
6
BABATI
30
BABATI MJINI
6
BAGAMOYO
31
BAHI
28
BARIADI
225
BIHARAMULO
24
BUHIGWE
8
BUKOBA RURAL
40
BUKOBA URBAN
23
BUKOMBE
25
BUNDA
49
BURUNDI
2
BUSEGA
17
BUTIAMA
9
CHAKECHAKE
82
CHATO
40
CHEMBA
2
CHUNYA
12
CONGO
2
DODOMA RURAL
23
DODOMA URBAN
46
GAIRO
10
GEITA
85
GEITA MJINI
2
HAI
28
HANANG
31
HANDENI
39
IGUNGA
62
IKUNGI
4
ILALA
137
ILAMBO MISSION
1
ILEJE
7
INDIA
3
IRAMBA
49
IRINGA RURAL
36
ITILIMA
22
KAHAMA
82
KAKONKO
4
KALIUA
14
KARAGWE
50
KARATU
9
KASKAZINI A
82
KASKAZINI B
44
KASULU
40
KATI
55
KENYA
13
KIBAHA
18
KIBAHA M
1
KIBAHA MJINI
2
KIBAHA V
1
KIBONDO
43
KIGOMA RURAL
31
KIGOMA URBAN
37
KILINDI
7
KILOMBERO
29
KILOSA
38
KILWA
50
KINONDONI
168
KISARAWE
43
KITETO
5
KONDOA
57
KONGWA
13
KOROGWE
29
KOROGWE (M)
1
KUSINI
63
KWIMBA
114
KYELA
25
LINDI RURAL
55
LINDI URBAN
9
LIWALE
15
LONGIDO
2
LUDEWA
22
LUSHOTO
93
MAFIA
3
MAGHARIBI
58
MAGU
65
MAKAMBAKO
11
MAKETE
35
MALAWI
2
MANYONI
38
MANYUMBU
1
MASASI
71
MASASI (V)
1
MASASI DC
3
MASASI MJINI
6
MASASI TC
2
MASASI VIJIJINI
1
MASWA
125
MBALALI
22
MBEYA RURAL
20
MBEYA U
3
MBEYA URBAN
20
MBINGA
21
MBOGWE
21
MBOZI
27
MBULU
21
MEATU
76
MICHWEWENI
68
MISENYE
12
MISUNGWI
51
MJINI
216
MKALAMA
11
MKINGA
5
MKOANI
106
MKURANGA
26
MLELE
8
MOMBA
4
MONDULI
8
MOROGORO RURAL
51
MOROGORO URBAN
26
MOSHI RURAL
82
MOSHI URBAN
19
MPANDA
7
MPANDA (R)
1
MPANDA MJINI
13
MPANDA R
1
MPANDA RULAR
1
MPANDA V
3
MPANDA VIJIJINI
9
MPWAPWA
27
MSUMBIJI
7
MTWARA
1
MTWARA (M)
1
MTWARA MIKINDANI
7
MTWARA MJINI
1
MTWARA RURAL
28
MUFINDI
33
MUHEZA
42
MULEBA
71
MUSOMA RURAL
31
MUSOMA URBAN
24
MVOMERO
27
MWANGA
33
NACHINGWEA
30
NAMTUMBO
26
NANYUMBU
7
NEWALA
44
NGARA
41
NGORONGORO
1
NJOMBE
36
NJOMBE M
1
NJOMBE MJINI
8
NJOMBE RURAL
1
NJOMBE V
6
NJOMBE VIJIJINI
4
NKASI
29
NYAMAGANA
29
NYANG'HWALE
9
NYANG'WALE
1
NYASA
10
NZEGA
114
PANGANI
10
ROMBO
58
RORYA
18
RUANGWA
16
RUFIJI
52
RUNGWE
39
RWANDA
2
SAME
32
SENGEREMA
95
SHINYANGA RURAL
26
SIHA
3
SIKONGE
28
SIMANJIRO
1
SIMIYU
1
SINGIDA
1
SINGIDA MJINI
1
SINGIDA RURAL
39
SINGIDA URBAN
19
SONGEA RURAL
15
SONGEA URBAN
21
SONGEA VIJIJINI
2
SUMBAWANGA
27
SUMBAWANGA URBAN
10
TABORA URBAN
27
TANDAHIMBA
17
TANGA URBAN
38
TARIME
24
TEMEKE
122
TUNDURU
32
UGANDA
2
UJERUMAN
1
UKEREWE
57
ULANGA
50
URAMBA
24
UVINZA
9
UYUI
31
WANGING'OMBE
8
WANGINGOMBE
3
WETE
109
ZAMBIA
2
In which ID_DISTRICT were you born? - ID_REGION
5807
10478
1
55
1
dodoma
196
2
arusha
78
3
kilimanjaro
256
4
tanga
263
5
morogoro
231
6
pwani
177
7
DAR ES SALAAM
425
8
lindi
175
9
mtwara
191
10
ruvuma
127
11
iringa
119
12
mbeya
180
13
singida
162
14
tabora
300
15
rukwa
70
16
kigoma
172
17
shinyanga
294
18
kagera
282
19
mwanza
422
20
mara
166
21
manyara
94
22
njombe
85
23
katavi
43
24
simiyu
288
25
geita
128
51
KASKAZINI UNGUJA
126
52
KUSINI UNGUJA
118
53
MJINI/MAGHARIBI UNGUJA
274
54
KASKAZINI PEMBA
177
55
KUSINI PEMBA
188
Sysmiss
10478
In which ID_DISTRICT were you born? - ID_DISTRICT
5807
10478
1
9
1
1682
2
1403
3
884
4
816
5
489
6
311
7
170
8
42
9
10
Sysmiss
10478
Case Section Roster / Line Occurrence Sequence for O/S Merge
16285
0
1
33
Unique Household Identification NPS Y4
16285
0
Individual ID
16285
0
1
33
Is [NAME] 5 years or above?
16245
40
1
2
1
yes
13461
2
no
2784
Sysmiss
40
Can [NAME] read and write?
13459
2826
1
5
1
kiswahili
6913
2
english
148
3
KISWAHILI & ENGLISH
2327
4
ANY OTHER LANGUAGE
8
5
no
4063
Sysmiss
2826
Did [NAME] ever go to school?
13457
2828
1
2
1
yes
10707
2
no
2750
Sysmiss
2828
At what age did [NAME] start school?
10704
5581
2
50
Is [NAME] currently in school?
10705
5580
1
2
1
yes
4064
2
no
6641
Sysmiss
5580
Was [NAME] in school last year?
6637
9648
1
2
1
yes
393
2
no
6244
Sysmiss
9648
What is the highest grade completed by [NAME]?
6249
10036
1
45
1
pp
8
2
adult
4
11
D1
60
12
D2
171
13
D3
214
14
D4
450
15
D5
172
16
D6
209
17
D7
3077
18
D8
75
19
PREFORM 1
8
20
MS+COURSE
90
21
F1
95
22
F2
431
23
F3
154
24
F4
678
25
'O'+COURSE
180
31
F5
3
32
F6
26
33
'A'+COURSE
25
34
diploma
45
41
U1
5
42
U2
1
43
U3
33
44
U4
14
45
U5&+
21
Sysmiss
10036
What year did [NAME] leave school for the last time?
6249
10036
1934
9999
1934
1
1935
1
1938
1
1940
2
1943
1
1944
2
1945
2
1946
1
1947
2
1948
3
1949
5
1950
5
1951
6
1952
6
1953
7
1954
5
1955
8
1956
4
1957
5
1958
16
1959
14
1960
12
1961
6
1962
13
1963
14
1964
34
1965
18
1966
17
1967
28
1968
36
1969
24
1970
31
1971
19
1972
39
1973
24
1974
41
1975
41
1976
41
1977
43
1978
57
1979
54
1980
75
1981
94
1982
92
1983
95
1984
156
1985
84
1986
88
1987
98
1988
122
1989
89
1990
98
1991
113
1992
133
1993
146
1994
126
1995
150
1996
131
1997
165
1998
153
1999
156
2000
149
2001
119
2002
140
2003
149
2004
153
2005
150
2006
166
2007
221
2008
245
2009
252
2010
283
2011
270
2012
347
2013
347
2014
49
2015
1
9999
DON'T KNOW
155
Sysmiss
10036
What grade is [NAME] currently attending?
4065
12220
1
45
1
pp
425
2
adult
2
11
D1
531
12
D2
499
13
D3
438
14
D4
437
15
D5
349
16
D6
358
17
D7
192
18
D8
0
19
PREFORM 1
2
20
MS+COURSE
14
21
F1
168
22
F2
191
23
F3
126
24
F4
131
25
'O'+COURSE
76
31
F5
12
32
F6
12
33
'A'+COURSE
5
34
diploma
26
41
U1
16
42
U2
31
43
U3
16
44
U4
4
45
U5&+
4
Sysmiss
12220
What grade was [NAME] attending last year?
4458
11827
1
91
1
pp
494
2
adult
1
11
D1
515
12
D2
456
13
D3
438
14
D4
371
15
D5
364
16
D6
246
17
D7
289
18
D8
0
19
PREFORM 1
3
20
MS+COURSE
5
21
F1
199
22
F2
147
23
F3
135
24
F4
112
25
'O'+COURSE
77
31
F5
15
32
F6
14
33
'A'+COURSE
9
34
diploma
30
41
U1
32
42
U2
21
43
U3
17
44
U4
2
45
U5&+
6
90
NOT YET STARTED
429
91
NOT ATTENDING
31
Sysmiss
11827
Check Q5: is [NAME] currently attending school?
4461
11824
1
2
1
yes
4064
2
no
397
Sysmiss
11824
Who owns the school [NAME] attends?
4064
12221
1
8
1
LOCAL GOV'T
2645
2
CENTRAL GOV'T
882
3
LOCAL PEOPLE
70
4
FOREIGN PEOPLE
6
5
religious
137
6
CHARITABLE ORG
2
7
PRIVATE ORG
300
8
OTHER (SPECIFY)
22
Sysmiss
12221
Is this school a boarding school?
4063
12222
1
2
1
yes
244
2
no
3819
Sysmiss
12222
How does [NAME] usually travel to school?
3817
12468
1
5
1
ON FOOT
3418
2
BY BIKE
83
3
BY PRIVATE CAR/ VEHICLE
44
4
BY PUBLIC VEHICLE/ MINIBUS
253
5
OTHER (SPECIFY)
19
Sysmiss
12468
How long does it take [NAME] to get to school by this means of transportation?
3817
12468
1
240
Does [NAME] get meals at the school (school feeding )?
4063
12222
1
2
1
yes
185
2
no
3878
Sysmiss
12222
Has [NAME] missed school in the last two schooling weeks?
4064
12221
1
2
1
yes
1290
2
no
2774
Sysmiss
12221
Why was [NAME] absent from school?
1290
14995
1
12
1
PUBLIC HOLIDAY
17
2
SCHOOL CLOSED NOT IN BREAK
30
3
SCHOOL CLOSED IN BREAK
942
4
ABSENCE TEACHER
2
5
ILLNESS CHILD
151
6
ILNESS HH MEMBER
10
7
funeral
13
8
DISCIPLINARY ACTION
0
9
CANNOT MEET COSTS
34
10
CHILD REFUSED
30
11
CHILD HAD TO WORK
25
12
OTHER (SPECIFY)
36
Sysmiss
14995
What is the status of the textbooks [NAME] uses for school?
4064
12221
1
5
1
NO TEXTBOOKS USED
637
2
ALL BORROWED FROM SCHOOL BUT CAN'T TAKE HOME
1979
3
ALL BORROWED FROM SCHOOL, SOME/ALL CAN TAKE HOME
999
4
SOME OWNED BY HOUSEHOLD
442
5
OTHER (SPECIFY)
7
Sysmiss
12221
In the last week, approximately how many hours did [NAME] spend on homework or s
4064
12221
0
42
In the last week, approximately how many hours did [NAME] spend on homework or s
4050
12235
0
50
1st [NAME] problems at school
4062
12223
1
8
1
NO PROBLEMS (SATISFIED)
2380
2
INADEQUATE BOOKS/TOOLS
809
3
POOR TEACHING
156
4
INADEQUATE TEACHERS
253
5
POOR ATTENDANCE OF TEACHERS
26
6
OVERCROWDED CLASSROOMS
211
7
TOO EXPENSIVE
69
8
OTHER (SPECIFY)
158
Sysmiss
12223
2nd [NAME] problem at school
772
15513
0
8
0
3
1
NO PROBLEMS (SATISFIED)
2
2
INADEQUATE BOOKS/TOOLS
200
3
POOR TEACHING
98
4
INADEQUATE TEACHERS
209
5
POOR ATTENDANCE OF TEACHERS
27
6
OVERCROWDED CLASSROOMS
136
7
TOO EXPENSIVE
32
8
OTHER (SPECIFY)
65
Sysmiss
15513
Did [NAME] take the Primary School Leaving Exam [PSLE]?
10707
5578
1
2
1
yes
6021
2
no
4686
Sysmiss
5578
How did [NAME] score in the exam?
6021
10264
1
3
1
pass
2893
2
fail
3052
3
DON'T KNOW
76
Sysmiss
10264
Did [NAME] take the Form 4 or Form 6 exam?
10706
5579
1
3
1
YES, FORM 4
1162
2
YES, FORM 6
224
3
NO, DID NOT TAKE
9320
Sysmiss
5579
In what year did [NAME] take the exam?
1381
14904
1954
9999
1954
1
1960
1
1961
1
1962
1
1966
2
1968
1
1969
3
1970
7
1971
4
1972
5
1973
2
1974
7
1975
3
1976
7
1977
5
1978
6
1979
6
1980
10
1981
12
1982
6
1983
4
1984
14
1985
8
1986
10
1987
6
1988
18
1989
7
1990
10
1991
10
1992
12
1993
14
1994
18
1995
14
1996
17
1997
10
1998
32
1999
29
2000
18
2001
16
2002
29
2003
24
2004
37
2005
34
2006
32
2007
56
2008
71
2009
87
2010
110
2011
119
2012
153
2013
147
2014
102
2015
3
9999
DON'T KNOW
20
Sysmiss
14904
Will you show me the exam certificate?
1384
14901
1
3
1
YES, IT WAS SHOWN
316
2
YES, IT WAS SHOWN NOT SHOWN, HOUSEHOLD HAS BUT REFUSED
151
3
NOT FOUND
917
Sysmiss
14901
How did [NAME] score in the exam?
1383
14902
1
6
1
DIVISION 1
25
2
DIVISION 2
85
3
DIVISION 3
221
4
DIVISION 4
783
5
fail
195
6
DON'T KNOW
74
Sysmiss
14902
How much was spent on [NAME]'s education in the last 12 months for School Fees?
10708
5577
0
46350000
How much was spent on [NAME]'s education in the last 12 months for Books and Mat
10707
5578
0
3000000
How much was spent on [NAME]'s education in the last 12 months for Uniforms?
10708
5577
0
262000
How much was spent on [NAME]'s education in the last 12 months for Transports?
10706
5579
0
5400000
How much was spent on [NAME]'s education in the last 12 months for Extra Tuition
10708
5577
0
770000
How much was spent on [NAME]'s education in the last 12 months for Other Contrib
10708
5577
0
1460000
How much was spent on [NAME]'s education in the last 12 months for Meals Cost?
10707
5578
0
36450000
How much was spent on [NAME]'s education in the last 12 months in Total?
10708
5577
0
91200000
Has [NAME] ever attended an adult literacy class? Which one?
13457
2828
1
4
1
KCM (MUKEJA)
140
2
KCK (MUKEJA)
46
3
OTHER NOT MUKEJA (SPECIFY)
18
4
NEVER ATTENDED
13253
Sysmiss
2828
How many months did [NAME] attend this adult literacy class?
204
16081
1
48
Case Section Roster / Line Occurrence Sequence for O/S Merge
16285
0
1
33
Unique Household Identification NPS Y4
16285
0
Individual ID
16285
0
1
33
Is this person answering for himself/ herself?
16245
40
1
2
1
yes
7288
2
no
8957
Sysmiss
40
Has [NAME] visited a health care provider in the last 4 weeks?
16245
40
1
2
1
yes
3546
2
no
12699
Sysmiss
40
What type of 1ST health provider did [NAME] visit?
3546
12739
1
17
1
GOV PARASTATAL REFERRAL/SPEC HOSP
59
2
GOV PARASTATAL REGIONAL HOSPITAL
83
3
GOV PARASTATAL DISTRICT HOSPITAL
210
4
GOV PARASTATAL HEALTH CENTER
406
5
GOV PARASTATAL DISPENSARY
825
6
GOV PARASTATAL VILLAGE HEALTH POST (WORKER)
28
7
GOV PARASTATAL CBD WORKER
2
8
RELIGIOUS/VOLUNTARY REFERRAL/SPEC
32
9
RELIGIOUS/VOLUNTARY DISTRICT HOSPITAL
25
10
RELIGIOUS/VOLUNTARY HEALTH CENTER
80
11
RELIGIOUS/VOLUNTARY DISPENSARY
80
12
PRIVATE SPECIALISED HOSP
73
13
PRIVATE HEALTH CENTER
142
14
PRIVATE DISPENSARY
354
15
OTHER PHARMACY
1064
16
ngo
6
17
OTHER (SPECIFY)
77
Sysmiss
12739
What type of 2ND health provider did [NAME] visit?
493
15792
1
17
1
GOV PARASTATAL REFERRAL/SPEC HOSP
1
2
GOV PARASTATAL REGIONAL HOSPITAL
3
3
GOV PARASTATAL DISTRICT HOSPITAL
5
4
GOV PARASTATAL HEALTH CENTER
9
5
GOV PARASTATAL DISPENSARY
7
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
1
10
RELIGIOUS/VOLUNTARY HEALTH CENTER
3
11
RELIGIOUS/VOLUNTARY DISPENSARY
4
12
PRIVATE SPECIALISED HOSP
3
13
PRIVATE HEALTH CENTER
7
14
PRIVATE DISPENSARY
17
15
OTHER PHARMACY
429
16
ngo
0
17
OTHER (SPECIFY)
4
Sysmiss
15792
How was the 1ST treatment financed?
3544
12741
1
9
1
FREE TREATMENT
711
2
HEALTH INSURANCE
221
3
OWN CASH
2584
4
HAD TO WORK FOR PROVIDER
0
5
USE OF ASSET
1
6
TOOK LOAN
0
7
GOT ASSISTANCE
16
8
DIFFERED BY PROVIDER
6
9
OTHER (SPECIFY)
5
Sysmiss
12741
How was the 2ND treatment financed?
488
15797
1
7
1
FREE TREATMENT
14
2
HEALTH INSURANCE
4
3
OWN CASH
464
4
HAD TO WORK FOR PROVIDER
0
5
USE OF ASSET
2
6
TOOK LOAN
0
7
GOT ASSISTANCE
4
8
DIFFERED BY PROVIDER
0
9
OTHER (SPECIFY)
0
Sysmiss
15797
How much did [NAME] spend visiting the 1ST health provider?
3540
12745
0
8000000
How much did [NAME] spend visiting the 2ND health provider?
492
15793
0
250000
Did [NAME] have any problems during the visit to the 1ST health provider?
3543
12742
1
7
1
NO PROBLEMS (SATISFIED)
2572
2
POOR BUILDING/TOOLS
36
3
LONG WAITING TIME
276
4
INADEQUATE TRAINED STAFF
69
5
TOO EXPENSIVE
301
6
LACK OF MEDICINE
274
7
OTHER (SPECIFY)
15
Sysmiss
12742
Did [NAME] have any problems during the visit to the 2ND health provider?
533
15752
1
7
1
NO PROBLEMS (SATISFIED)
285
2
POOR BUILDING/TOOLS
13
3
LONG WAITING TIME
24
4
INADEQUATE TRAINED STAFF
34
5
TOO EXPENSIVE
88
6
LACK OF MEDICINE
74
7
OTHER (SPECIFY)
15
Sysmiss
15752
How much in total did the household spend on [NAME] in the past 4 weeks for all
16245
40
0
8000000
How much in total did the household spend on [NAME] in the past 4 weeks for medi
16245
40
0
19000
How much in total did the household spend on [NAME] in the past 4 weeks for non-
16242
43
0
30000
During the last 12 months, were you hospital-ized or did [NAME] have an overnigh
16236
49
1
2
1
yes
805
2
no
15431
Sysmiss
49
How many stays was [NAME] hospitalized?
805
15480
1
12
1
679
2
74
3
23
4
11
5
7
6
2
7
6
9
1
12
2
Sysmiss
15480
For how many total nights was [NAME] hospitalized?
805
15480
0
228
1st type of illness or injury that led [NAME] to hospitalization
804
15481
1
10
1
fever
75
2
malaria
198
3
stomach
104
4
diarrhea
17
5
headache
12
6
heart
18
7
lung
20
8
BROKEN BONE
14
9
maternity
129
10
OTHER (SPECIFY)
217
Sysmiss
15481
2nd type of illness or injury that led [NAME] to hospitalization
134
16151
1
10
1
fever
13
2
malaria
20
3
stomach
26
4
diarrhea
11
5
headache
8
6
heart
2
7
lung
6
8
BROKEN BONE
1
9
maternity
3
10
OTHER (SPECIFY)
44
Sysmiss
16151
What was the total cost of [NAME]'s hospitalization(s) or overnight stay(s) in a
805
15480
0
78000000
During the last 12 months, did [NAME] stay over-night(s) at a traditional healer
16241
44
1
2
1
yes
144
2
no
16097
Sysmiss
44
What was the total cost of [NAME]'s stay(s) at the traditional healer or faith h
144
16141
0
1000000
IS THE RESPONDENT A CHILD OF UNDER 5 YEARS OLD? (LESS THAN 60 MONTHS OLD)
16245
40
1
2
1
yes
2769
2
no
13476
Sysmiss
40
Does [NAME] have difficulty seeing, even if he/she is wearing glasses?
13477
2808
1
5
1
NO, NO DIFFICULTY
12785
2
NO, NO DIFFICULTIES WITH ASSISTIVE DEVICE
95
3
YES, SOME DIFFICULTY
517
4
YES, A LOT OF DIFFICULTY
78
5
CANNOT PERFORM
2
Sysmiss
2808
How old was [NAME] when the difficulty seeing began?
691
15594
0
95
Does [NAME] have difficulty hearing, even if he/she is wearing a hearing aid?
13476
2809
1
5
1
NO, NO DIFFICULTY
13232
2
NO, NO DIFFICULTIES WITH ASSISTIVE DEVICE
6
3
YES, SOME DIFFICULTY
190
4
YES, A LOT OF DIFFICULTY
45
5
CANNOT PERFORM
3
Sysmiss
2809
How old was [NAME] when the difficulty hearing began?
245
16040
0
95
Does [NAME] have difficulty walking or climbing steps?
13476
2809
1
5
1
NO, NO DIFFICULTY
13040
2
NO, NO DIFFICULTIES WITH ASSISTIVE DEVICE
13
3
YES, SOME DIFFICULTY
303
4
YES, A LOT OF DIFFICULTY
117
5
CANNOT PERFORM
3
Sysmiss
2809
How old was [NAME] when the difficulty walking or climbing stairs began?
437
15848
0
100
Does [NAME] have difficulty remem- bering or concentrating?
13476
2809
1
5
1
NO, NO DIFFICULTY
13334
2
NO, NO DIFFICULTIES WITH ASSISTIVE DEVICE
4
3
YES, SOME DIFFICULTY
78
4
YES, A LOT OF DIFFICULTY
58
5
CANNOT PERFORM
2
Sysmiss
2809
How old was [NAME] when the difficulty remem- bering or concentrating began?
141
16144
0
92
Does [NAME] have difficulty with self care (such as washing all over or dressing
13476
2809
1
5
1
NO, NO DIFFICULTY
13392
2
NO, NO DIFFICULTIES WITH ASSISTIVE DEVICE
1
3
YES, SOME DIFFICULTY
32
4
YES, A LOT OF DIFFICULTY
49
5
CANNOT PERFORM
2
Sysmiss
2809
How old was [NAME] when the difficulty began?
85
16200
0
90
Using his/her usual language, does [NAME] have difficulty communicating; for exa
13476
2809
1
5
1
NO, NO DIFFICULTY
13409
2
NO, NO DIFFICULTIES WITH ASSISTIVE DEVICE
0
3
YES, SOME DIFFICULTY
25
4
YES, A LOT OF DIFFICULTY
40
5
CANNOT PERFORM
2
Sysmiss
2809
How old was [NAME] when the difficulty communicating began?
68
16217
0
87
Does this difficulty reduce the amount of work [NAME] can do at home?
1200
15085
1
4
1
YES, ALL THE TIME
249
2
YES, SOMETIMES
542
3
no
375
4
NA (IF NOT WORKING OR NOT ATTENDING SCHOOL)
34
Sysmiss
15085
Does this difficulty reduce the amount of work [NAME] can do at school?
1200
15085
1
4
1
YES, ALL THE TIME
22
2
YES, SOMETIMES
75
3
no
63
4
NA (IF NOT WORKING OR NOT ATTENDING SCHOOL)
1040
Sysmiss
15085
Does this difficulty reduce the amount of work [NAME] can do at work?
1200
15085
1
4
1
YES, ALL THE TIME
138
2
YES, SOMETIMES
404
3
no
284
4
NA (IF NOT WORKING OR NOT ATTENDING SCHOOL)
374
Sysmiss
15085
During the past 12 months, what measures are taken to improve [NAME]’s performan
1197
15088
1
10
1
none
656
2
SURGICAL OPERATION
25
3
medication
375
4
ASSISTIVE DEVICES (GLASSES, WHEELCHAIR, BRACES, HEARING AID, ARTIFICIAL LIMB)
84
5
SPECIAL EDUCATION
4
6
SKILLS TRAINING (VOCATIONAL)
0
7
ACTIVITY OF DAILY LIVING (ADL) TRAINING
0
8
counselling
11
9
SPIRITUAL/ TRADITIONAL
37
10
OTHER (SPECIFY)
5
Sysmiss
15088
Did [NAME] sleep under a bednet yesterday?
16245
40
1
5
1
YES UNTREATED NET
4687
2
YES TREATED NET < 6 MONTHS
2422
3
YES TREATED NET > 6 MONTHS
2423
4
no
6062
5
DONT KNOW
651
Sysmiss
40
How did the household obtain this bednet?
9532
6753
1
3
1
FREE GIFT
4646
2
purchased
4106
3
PURCHASED W/ VOUCHER
780
Sysmiss
6753
How much did the household pay for the bednet?
4755
11530
0
200000
Does [NAME] possess their birth certificate?
16244
41
1
4
1
HAS CERTIFICATE
3437
2
registered
3879
3
neither
8667
4
DON'T KN0W
261
Sysmiss
41
In the last year, did [NAME] access a medical exemption at a public health facil
16240
45
1
3
1
yes
1297
2
no
14900
3
DON'T KNOW
43
Sysmiss
45
Is the respondent a woman aged 12 to 49 years?
16245
40
1
2
1
yes
4457
2
no
11788
Sysmiss
40
In the past 24 months, did [NAME] give birth to a child, even if born dead?
4456
11829
1
2
1
yes
1284
2
no
3172
Sysmiss
11829
Did [NAME] regularly go to a health clinic when you were pregnant with your last
1284
15001
1
2
1
yes
1257
2
no
27
Sysmiss
15001
Where did [NAME] deliver [NAME]'s last child born in the last 24 months?
1284
15001
1
4
1
HOSPITAL / MATERNITY
730
2
clinic
160
3
AT HOME
372
4
OTHER (SPECIFY)
22
Sysmiss
15001
Who delivered this child?
1284
15001
1
7
1
DOCTOR OR CLINICAL OFFICER
261
2
nurse
565
3
midwife
89
4
TRADITIONAL BIRTH ATTENDANT
146
5
FRIEND OR RELATIVE
158
6
self
44
7
other
21
Sysmiss
15001
Was this birth registered with civil authorities?
1284
15001
1
2
1
yes
1087
2
no
197
Sysmiss
15001
Is the respondent a child of under 5 years old (less than 60 months old)?
13075
3210
1
2
1
yes
2760
2
no
10315
Sysmiss
3210
Has [NAME] had diarrhea in the last two weeks
2760
13525
1
2
1
yes
416
2
no
2344
Sysmiss
13525
Now I would like to know how much [NAME] was offered to drink during the diarrhe
416
15869
1
6
1
MUCH LESS
31
2
SOMEWHAT LESS
96
3
ABOUT THE SAME
201
4
more
44
5
NOTHING TO DRINK
42
6
DON'T KNOW
2
Sysmiss
15869
When [NAME] had diarrhea, was he/she offered less than usual to eat, about the s
416
15869
1
6
1
MUCH LESS
58
2
SOMEWHAT LESS
119
3
ABOUT THE SAME
196
4
more
5
5
NOTHING TO EAT
37
6
DON'T KNOW
1
Sysmiss
15869
Was he/she given any Oral Rehydration Salts (ORS) to drink?
416
15869
1
2
1
yes
155
2
no
261
Sysmiss
15869
Was he/she given any government-recommended home-made fluid to drink?
416
15869
1
2
1
yes
67
2
no
349
Sysmiss
15869
Did [NAME] seek advice or treatment for the diarrhea?
416
15869
1
2
1
yes
224
2
no
192
Sysmiss
15869
Where did [NAME] seek advice or treatment? - 1ST
224
16061
1
17
1
GOV PARASTATAL REFERRAL/SPEC HOSP
1
2
GOV PARASTATAL REGIONAL HOSPITAL
2
3
GOV PARASTATAL DISTRICT HOSPITAL
10
4
GOV PARASTATAL HEALTH CENTER
21
5
GOV PARASTATAL DISPENSARY
70
6
GOV PARASTATAL VILLAGE HEALTH POST (WORKER)
1
7
GOV PARASTATAL CBD WORKER
0
8
RELIGIOUS/VOLUNTARY REFERRAL/SPEC
0
9
RELIGIOUS/VOLUNTARY DISTRICT HOSPITAL
1
10
RELIGIOUS/VOLUNTARY HEALTH CENTER
6
11
RELIGIOUS/VOLUNTARY DISPENSARY
8
12
PRIVATE SPECIALISED HOSP
0
13
PRIVATE HEALTH CENTER
4
14
PRIVATE DISPENSARY
22
15
OTHER PHARMACY
70
16
ngo
1
17
OTHER (SPECIFY)
7
Sysmiss
16061
Where did [NAME] seek advice or treatment? - 2ND
0
16285
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
16285
Where did [NAME] seek advice or treatment? - 3RD
0
16285
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
16285
Case Section Roster / Line Occurrence Sequence for O/S Merge
16285
0
1
33
Unique Household Identification NPS Y4
16285
0
Individual ID
16285
0
1
33
Is the household member 5 years or above?
16245
40
1
2
1
yes
13462
2
no
2783
Sysmiss
40
In the last 12 months, did [NAME] work as an unpaid apprentice, employee for a w
13461
2824
1
2
1
yes
2792
2
no
10669
Sysmiss
2824
In the last 12 months, did [NAME] run a non-farm business of any size for themse
13475
2810
1
2
1
yes
2282
2
no
11193
Sysmiss
2810
In the last 12 months, did [NAME] work on the household's farm/raise household l
13470
2815
1
2
1
yes
6415
2
no
7055
Sysmiss
2815
CHECK Q4A-Q4E: IS THE ANSWER TO AT LEAST ONE QUESTION A 'YES'?
13400
2885
1
2
1
yes
8459
2
no
4941
Sysmiss
2885
In what type of economic activity did [NAME] spend most of [NAME]'s time in the
8461
7824
1
7
1
A PAID EMPLOYEE
1364
2
SELF EMPLOYED (NON-AGRIC): WITH EMPLOYEES
184
3
SELF EMPLOYED (NON-AGRIC): WITHOUT EMPLOYEES
1074
4
UNPAID FAMILY HELPER: (NON-AGRIC)
118
5
UNPAID FAMILY HELPER: (ARGIC)
3394
6
ON YOUR OWN FARM OR SHAMBA
2292
7
UNPAID APPRENTICESHIP
35
Sysmiss
7824
In what type of economic activity did [NAME] spend most of [NAME]'s time in the
2242
14043
1
7
1
A PAID EMPLOYEE
925
2
SELF EMPLOYED (NON-AGRIC): WITH EMPLOYEES
59
3
SELF EMPLOYED (NON-AGRIC): WITHOUT EMPLOYEES
588
4
UNPAID FAMILY HELPER: (NON-AGRIC)
105
5
UNPAID FAMILY HELPER: (ARGIC)
245
6
ON YOUR OWN FARM OR SHAMBA
314
7
UNPAID APPRENTICESHIP
6
Sysmiss
14043
In the last 7 days, did [NAME] work as an unpaid apprenticeship OR as an employ
13461
2824
1
2
1
yes
1791
2
no
11670
Sysmiss
2824
In the last 7 days, did [NAME] run a non-farm business of any size for themselv
13461
2824
1
2
1
yes
1704
2
no
11757
Sysmiss
2824
In the last 7 days, did [NAME] work on the household's farm/raise household live
13458
2827
1
2
1
yes
4728
2
no
8730
Sysmiss
2827
CHECK Q8A-Q8E: IS THE ANSWER TO AT LEAST ONE QUESTION A 'YES'?
13461
2824
1
2
1
yes
7072
2
no
6389
Sysmiss
2824
In what type of economic activity did [NAME] spend most of [NAME]'s time in the
7071
9214
1
7
1
A PAID EMPLOYEE
1349
2
SELF EMPLOYED (NON-AGRIC): WITH EMPLOYEES
169
3
SELF EMPLOYED (NON-AGRIC): WITHOUT EMPLOYEES
1061
4
UNPAID FAMILY HELPER: (NON-AGRIC)
130
5
UNPAID FAMILY HELPER: (ARGIC)
2548
6
ON YOUR OWN FARM OR SHAMBA
1773
7
UNPAID APPRENTICESHIP
41
Sysmiss
9214
In what type of economic activity did [NAME] spend most of [NAME]'s time in the
893
15392
1
7
1
A PAID EMPLOYEE
281
2
SELF EMPLOYED (NON-AGRIC): WITH EMPLOYEES
22
3
SELF EMPLOYED (NON-AGRIC): WITHOUT EMPLOYEES
255
4
UNPAID FAMILY HELPER: (NON-AGRIC)
44
5
UNPAID FAMILY HELPER: (ARGIC)
113
6
ON YOUR OWN FARM OR SHAMBA
177
7
UNPAID APPRENTICESHIP
1
Sysmiss
15392
What kind of work does [NAME] usually do in this economic activity?
5840
0
ANAMILIKI NA MWALIMU
1
ANAPIKA NA POMBE
1
ANASUKA MAKUTI
1
ANAUZA DUKA LA MAHIT
1
ANAUZA MBOGA MBOGA
1
BAKERY
2
BIASHARA
3
BIASHARA YA KEKI
1
BIASHARA GENGE
1
BIASHARA IMPORT/EA
1
BIASHARA KUNI
1
BIASHARA KUUZA DUKA
1
BIASHARA MAMA LISHE
2
BIASHARA MATUNDA
2
BIASHARA MKAHAWA
1
BIASHARA NDOGO NDOGO
1
BIASHARA NDOGONDOGO
4
BIASHARA NGUO MCHELE
1
BIASHARA SUFURIA
1
BIASHARA YA BAJAJI
1
BIASHARA YA BAR
1
BIASHARA YA BARAFU
3
BIASHARA YA BODABODA
2
BIASHARA YA BUCHA
2
BIASHARA YA CHAKULA
1
BIASHARA YA CHIPS
1
BIASHARA YA DHAHABU
1
BIASHARA YA DUKA
11
BIASHARA YA GENGE
7
BIASHARA YA GROCERY
1
BIASHARA YA JUICE
1
BIASHARA YA JUISI
2
BIASHARA YA KIOSK
2
BIASHARA YA KULA
1
BIASHARA YA MAANDAZI
4
BIASHARA YA MAHINDI
1
BIASHARA YA MAJI
2
BIASHARA YA MAMA LIS
2
BIASHARA YA MATOFALI
1
BIASHARA YA MATUNDA
4
BIASHARA YA MAZAO
2
BIASHARA YA MBAO
1
BIASHARA YA MBOGA
1
BIASHARA YA MCHANGA
2
BIASHARA YA MGAHAWA
3
BIASHARA YA MIFUKO
1
BIASHARA YA MIKATE
2
BIASHARA YA MKAA
4
BIASHARA YA MWANI
11
BIASHARA YA NANASI
1
BIASHARA YA NDIZI
1
BIASHARA YA NGUO
7
BIASHARA YA NGUO URE
1
BIASHARA YA NGUO VIT
1
BIASHARA YA POMBE
1
BIASHARA YA POMBE ZA
1
BIASHARA YA SABUNI
1
BIASHARA YA SALOON
1
BIASHARA YA SAMAKI
4
BIASHARA YA TOFALI
1
BIASHARA YA USED
1
BIASHARA YA VIAZI
1
BIASHARA YA VITENGE
1
BIASHARA YA VYAKULA
1
BIASHARA YA VYOMBO
3
BIASHARA yA MITUMBA
1
BIASHARAA YA MANDAZI
1
BOAT BUILDING
1
BODABODA
3
BUTCHER
1
CONTRACT
1
CRUSHER LA DHAHABU
1
DALADALA BAISKELI
2
DALALI
2
DALALI WA GARI
1
DALALI WA MASHAMBA
1
DALALI WA NYUMBA
1
DEREVA
2
DEREVA BODA BODA
1
DEREVA BODABODA
5
DEREVA PIKIPIKI
2
DEREVA TAX
1
DEREVA TAXI
1
DEREVA WA PIKIPIKI
1
DREVA TAX
1
DUKA LA BIDHAA
1
DUKA LA BIDHAA MLAJI
1
DUKA LA CHAKULA
1
DUKA LA DAWA
1
DUKA LA KUUZA NGUO
1
DUKA LA NGUO NA VIP
1
DUKA LA REJAREJA
2
DUKA LA SPEA MAGARI
1
DUKA LA VYAKULA
1
DUKA LA VYOMBO
1
DUKA REJA REJA
1
DUKA REJAREJA
5
DUKA VYOMBO NYUMBANI
1
FUNDI BAISKELI
6
FUNDI BASKELI
1
FUNDI BATI
1
FUNDI BOMBA
2
FUNDI CHERAHANI
1
FUNDI CHEREHANI
8
FUNDI ELECTRONIC
1
FUNDI FENICHA
2
FUNDI GEREJI
1
FUNDI KUCHONGA
2
FUNDI KUJENGA
1
FUNDI KUSHONA NGUO
1
FUNDI MAGARI
3
FUNDI MAJAHAZI
1
FUNDI MEKANIKA
1
FUNDI MUASHI
2
FUNDI MWASHI
4
FUNDI NGUO
5
FUNDI SAMANI
1
FUNDI SELEMALA
3
FUNDI SEREMALA
12
FUNDI SIMU
1
FUNDI UJENZI
26
FUNDI UMEME
16
FUNDI UMEME MAJUMBA
1
FUNDI USHONI
1
FUNDI VIATU
1
FUNDI WA KUCHOMEA
1
FUNDI WA NGUO
1
FUNDI WELDING
4
GARI
1
HARDWARE STORE
1
HUDUMA YA ELIMU CHUO
1
HUDUMA ZA MPESA
1
KATIKA KILIMO
1
KAZI ZA NDANI
1
KAZI ZA NYUMBANI
1
KILIMA
1
KILIMA MAZAO
1
KILIMO
65
KILIMO CHA MAHINDI
4
KILIMO CHA MAZAO
10
KILIMO CHA MBOGA
2
KILIMO MCHANGA NYIKO
1
KILIMO MCHANGANYIKO
160
KILIMO MPUNGA
1
KINYOZI
1
KIOSKI
1
KONDAKTA
2
KUANDAA BUSTANI
1
KUANDAA MAJALUBA
1
KUANDAA MASHAMBA
4
KUANDAA SHAMBA
40
KUANGALIA KUKU
1
KUANGALIA MIFUGO
6
KUANIKA MAZAO
1
KUANZA DUKA REJAREJA
1
KUBANA KARATASI
1
KUBANJA NA KUUZA KOK
1
KUBEBA ABIRIA
1
KUBEBA MATOFALI
1
KUBEBA MIZIGO
6
KUBELEGA
1
KUCHAMBUA ALMASI
1
KUCHANA,KUUZA MBAO
1
KUCHIMBA DHAHABU
7
KUCHIMBA MADINI
5
KUCHIMBA MCHANGA
1
KUCHIMBA MIHOGO
1
KUCHIMBA VIAZI
7
KUCHIMBUA VIAZI
1
KUCHOKOA PWEZA
3
KUCHOMA CHAPATI
1
KUCHOMA CHIPS
1
KUCHOMA KUUZA MKAA
1
KUCHOMA MAHINDI
1
KUCHOMA MISHIKAKI
1
KUCHOMA MKAA
2
KUCHOMA NA KUUZAMKAA
1
KUCHOMA TOFALI
1
KUCHORA PICO
1
KUCHUMA CHAI
1
KUCHUMA KAHAWA
5
KUCHUMA MBAAZI
1
KUCHUMA MBOGA
2
KUCHUMA NYANYA
1
KUCHUMA PAMBA
5
KUCHUNGA
35
KUCHUNGA KONDOO
4
KUCHUNGA KULISHA MIF
3
KUCHUNGA MBUUZI
1
KUCHUNGA MBUZI
47
KUCHUNGA MIFIGO
1
KUCHUNGA MIFUGO
166
KUCHUNGA NDAMA
3
KUCHUNGA NG'OMBE
92
KUCHUNGA NGO'MBE
1
KUENDESHA BODA BODA
1
KUENDESHA BODABODA
3
KUENDESHA PIKIPIKI
2
KUEZEKA NYUMBA
1
KUFAGIA MBOLEA
3
KUFAGILIA MIKOROSHO
1
KUFANYA USAFI
1
KUFANYA USAFI BANDAN
1
KUFINYANGA VYUNGU
2
KUFUGA
2
KUFUGA BATA
4
KUFUGA KUKU
15
KUFUGA KUKU NA BATA
1
KUFUGA MBUZI
1
KUFUGA MIFUGO
2
KUFUGA NG'OMBE
1
KUFUGA NGOMBE
2
KUFUGA NGURUWE
2
KUFUGA WANYAMA
2
KUFUKUZA NDEGE SHAMB
1
KUFUKUZA WANYAMA
5
KUFUKUZIA NDEGE
3
KUFUMA KOFIA
1
KUFUMA MASHUKA
3
KUFUMA SHUKA
2
KUFUNDISHA ELIMU AWA
1
KUFUNGA KAMBA MBUZI
1
KUFUNGA MBUZI
1
KUFUNGA MIFUGO
1
KUFYATUA KUUZA TOFAL
1
KUFYATUA MATOFALI
1
KUFYATUA TOFALI
2
KUFYEKA
1
KUFYEKA MAJANI
2
KUFYEKA SHAMBA
2
KUHAMIA NDEGE
2
KUHUDUMIA KUKU
4
KUHUDUMIA MIFUGO
46
KUHUDUMIA WATEJA
1
KUJENGA
4
KUJENGA NYUMBA
21
KUKAANGA /KUUZA SAMA
1
KUKAANGA CHAPATI
1
KUKAANGA MAANDANI
1
KUKAANGA MAANDAZI
3
KUKAANGA MIHOGO
1
KUKAANGA SAMBUSA BAG
1
KUKAMUA MAZIWA
3
KUKARABATI MAGARI
1
KUKATA MAHINDI
4
KUKATA MAJANI
5
KUKATA MAJANI MIFUGO
1
KUKATA MITI
3
KUKATA MKAA
1
KUKATA MSITU
1
KUKATA NDIZI
1
KUKATA NYASI
1
KUKATA UFUTA
6
KUKATIA KAHAWA
1
KUKATIA MIGOMBA
1
KUKAUSHA DAGAA
1
KUKODISHA GARI
1
KUKODISHA MIKANDA
2
KUKODISHA NA KKUZA
1
KUKODISHA PIKIPIKI
1
KUKOPESHA NGUO
2
KUKUSANYA MAHINDI
6
KUKUSANYA VIAZI
2
KULANGUA NA KUUZA MB
1
KULIMA
979
KULIMA BUSTANI
7
KULIMA CHOROKO,MAHIN
1
KULIMA DENGU
7
KULIMA KARANGA
2
KULIMA KILIMO
1
KULIMA KWA NGOMBE
1
KULIMA MAGUGU
4
KULIMA MAHARAGE
1
KULIMA MAHINDI
20
KULIMA MAHINDI MHOGO
1
KULIMA MAHINDI,DENGU
5
KULIMA MAHINDI,KUNDE
1
KULIMA MAHINDI,PAMBA
2
KULIMA MAJANI
1
KULIMA MATUTA
2
KULIMA MAZAO
32
KULIMA MAZAO CHAKULA
16
KULIMA MAZAO MCHANGA
2
KULIMA MAZAO SHAMBAN
5
KULIMA MBOGAMBOGA
8
KULIMA MIGOMBA
2
KULIMA MIHOGO
7
KULIMA MIHOGO MAHIND
1
KULIMA MIHOGO,MAHIND
2
KULIMA MPUNGA
6
KULIMA MPUNGA KARANG
3
KULIMA MPUNGA,MAHIND
1
KULIMA NA KUFUGA
2
KULIMA NA KUPALILIA
8
KULIMA NA KUPANDA
10
KULIMA NA KUPANDA MA
3
KULIMA NYANYA
7
KULIMA PAMBA MAHINDI
2
KULIMA PAMBA,MAHINDI
5
KULIMA SHAMBA
122
KULIMA SHAMBANI
22
KULIMA UFUTA
3
KULIMA VIAZI
5
KULIMA VIAZI VITAMU
15
KULIMA VITUNGUU
1
KULIMAMAZAO CHAKULA
1
KULIMIA KOROSHO
2
KULIMIA MIKOROSHO
2
KULINDA MAHINDI
5
KULINDA MPUNGA
2
KULINDA NDEGE
6
KULINDA NGEDERE
2
KULINDA USALAMA WA M
1
KULINDA WANYAMA
2
KULISHA BATA
6
KULISHA KUKU
15
KULISHA MBUZI
2
KULISHA MIFUGO
170
KULISHA NG'OMBE
1
KULISHA NGURUWE
2
KUMENYA MAHINDI
4
KUMWAGIA VITUNGUU
2
KUMWAGILIA BUSTANI
4
KUMWAGILIA KUPALILIA
1
KUMWAGILIA NYANYA
2
KUNG'OLEA MAGUGU
2
KUNG'OLEA MAJANI
1
KUNUNA MAHINDI
1
KUNUNUA DHAHABU
1
KUNUNUA KUUZA MADINI
1
KUNUNUA KUUZA NDIZI
1
KUNUNUA KUUZA NYANYA
1
KUNUNUA NA KUUZA MAJ
1
KUNUNUA NA KUUZA SAM
1
KUNUNUA PARACHICHI
1
KUNYOA NYELE
1
KUNYOA NYWELE
2
KUNYWESHA MAJI NG'OM
1
KUNYWESHA MBUZI
1
KUNYWESHA MIFUGO
2
KUNYWESHA NG'OMBE MA
1
KUOKA CHAPATI
1
KUOKOTA KOROSHO
13
KUOSHA MAGARI
1
KUOTESHA MAGIMBI
1
KUOTESHA MPUNGA
3
KUPAKA RANGI
2
KUPAKA RANGI NYUMBA
1
KUPALILA MAHINDI
1
KUPALILIA
103
KUPALILIA MIGOMBA
1
KUPALILIA ALIZETI
8
KUPALILIA BUSTANI
2
KUPALILIA DENGU
10
KUPALILIA ILIKI
1
KUPALILIA KAHAWA
2
KUPALILIA KARANGA
3
KUPALILIA KOROSHO
10
KUPALILIA MAGIMBI
1
KUPALILIA MAGUGU
9
KUPALILIA MAHARAGE
20
KUPALILIA MAHINDI
194
KUPALILIA MATANGO
2
KUPALILIA MAZAO
76
KUPALILIA MAZO
1
KUPALILIA MBUZI
1
KUPALILIA MIGOMBA
44
KUPALILIA MIGOMBANI
1
KUPALILIA MIHOGO
93
KUPALILIA MIKOROSHO
6
KUPALILIA MIWA
1
KUPALILIA MPUNGA
16
KUPALILIA MTAMA
5
KUPALILIA MUHOGO
12
KUPALILIA NYANYA
2
KUPALILIA PAMBA
15
KUPALILIA SHAMBA
21
KUPALILIA TUMBAKU
4
KUPALILIA UFUTA
5
KUPALILIA VIAZI
24
KUPALILIA VITUNGUU
1
KUPAMBA KUMBI
1
KUPANDA
7
KUPANDA ALIZETI
1
KUPANDA DENGU
1
KUPANDA KARANGA
5
KUPANDA MAHARAGE
15
KUPANDA MAHINDI
22
KUPANDA MAZAO
12
KUPANDA MBAAZI
1
KUPANDA MBEGU
2
KUPANDA MIHOGO
3
KUPANDA MIWA
2
KUPANDA MPUNGA
9
KUPANDA MTAMA
11
KUPANDA NJUGU
1
KUPANDA NYANYA
2
KUPANDA VIAZI
15
KUPANDA VIAZI VITAMU
1
KUPANGISHA NYUMBA
1
KUPARA SAMAKI
2
KUPASUA KUUZA KOKOTO
2
KUPASUA MAWE NA KUUZ
1
KUPAUA
1
KUPAUA NYUMBA
2
KUPELEKA VITU HOTELI
1
KUPIGA MTAMA
2
KUPIGA PICHA
1
KUPIGA RANGI NYUMBA
1
KUPIGISHA MUZIKI
1
KUPIKA CHAKULA
3
KUPIKA CHAPATI
3
KUPIKA CHIPS
1
KUPIKA KUUZA CHAKULA
1
KUPIKA MAANDAZI
7
KUPIKA POMBE YA KIEN
1
KUPIKA SAMBUSA
1
KUPIKA VITUMBUA
1
KUPIKA VYAKULA
1
KUPONDA KOKOTO
1
KUPULIZA MAGUGU
2
KUPULIZIA DAWA
6
KUPULIZIA DAWA MAZAO
2
KURANDA MBAO
1
KUSAFIRISHA ABIRIA
2
KUSAFISHA BANDA
1
KUSAFISHA BANDA LA M
2
KUSAFISHA SHAMBA
48
KUSAGISHA NAFAKA
3
KUSAIDIA BIASHARA GE
1
KUSAIDIA KUUZA POMBE
2
KUSANYA KUUZA KUNI
1
KUSANYA MAJANI
1
KUSHO NA KUUZA VIKAP
1
KUSHONA
4
KUSHONA KOFIA
1
KUSHONA MITO YA VITI
1
KUSHONA NGUO
23
KUSHONA VIATU
1
KUSIMAMIA HOTEL
1
KUSIMAMIA UJENZI
1
KUSIMAMIA WANAFUNZI
1
KUSINDIKA MAHINDI
1
KUSINDIKA MAZAO
2
KUSUKA
2
KUSUKA MAKAWA
1
KUSUKA MAKUTI
1
KUSUKA MIKEKA
1
KUSUKA MKEKA
1
KUSUKA NYUNGO
1
KUSUKA NYWELE
3
KUTANDIKA MAJANI
3
KUTAYARISHA MASHIMO
1
KUTEMBEZA MAJI
2
KUTEMBEZA NGUO
1
KUTEMBEZA VITU UREMB
1
KUTENGENEZA BAISKELI
2
KUTENGENEZA FAGIO
1
KUTENGENEZA FREM
1
KUTENGENEZA FYAGIO
1
KUTENGENEZA JUICE
2
KUTENGENEZA KOKOTO
1
KUTENGENEZA KOROBOI
1
KUTENGENEZA MAGARI
2
KUTENGENEZA MAGETI
2
KUTENGENEZA MAKONGOR
2
KUTENGENEZA MASOFA
1
KUTENGENEZA MATUTA
1
KUTENGENEZA MIKOBA
2
KUTENGENEZA MILANGO
1
KUTENGENEZA NYWELE
2
KUTENGENEZA PIKIPIKI
1
KUTENGENEZA POMBE
2
KUTENGENEZA RADIO
1
KUTENGENEZA SAMANI
2
KUTENGENEZA SIMU
2
KUTENGENEZA SOFA
1
KUTENGENEZA THAMANI
1
KUTENGENEZA TOFALI
1
KUTENGENEZA VIFAA UM
1
KUTIBU WATU
1
KUTIBUA SHAMBA
4
KUTOA HUDUMA ZA JADI
1
KUTOA MIZIGO BANDARI
1
KUTOA TIBA ZA ZSILI
1
KUTUNZA BATA
3
KUTUNZA KUKU
18
KUTUNZA MIFUGO
65
KUTUNZA NG'OMBE
4
KUUAZA DUKA
1
KUUNZA DUKA
1
KUUZA ASALI
2
KUUZA BADIA
1
KUUZA BAGIA
4
KUUZA BIASHARA
1
KUUZA BIASHARA SOKON
1
KUUZA BIDHAA
3
KUUZA BIDHAA DUKANI
2
KUUZA BIDHAA FOREVER
1
KUUZA BIDHAA MBALIMB
1
KUUZA BIDHAA MCHANGA
1
KUUZA BIDHAA NDOGO
2
KUUZA BIDHAA NDOGOND
1
KUUZA BIDHAA ZA DUKA
1
KUUZA CHAI
4
KUUZA CHAI CHAKULA
1
KUUZA CHAI NA CHAPAT
1
KUUZA CHAI NA MAANDA
1
KUUZA CHAI VITAFUNWA
1
KUUZA CHAKULA
31
KUUZA CHAPATI
5
KUUZA CHIPS
9
KUUZA CHIPSI
2
KUUZA DAGAA
4
KUUZA DAWA
2
KUUZA DAWA MUHIMU
1
KUUZA DAWA ZA BINADA
1
KUUZA DHAHABU
1
KUUZA DUKA
64
KUUZA DUKA LA BIDHAA
2
KUUZA DUKA LA REJARE
3
KUUZA DUKA NA VINYWA
1
KUUZA DUKA REJAREJA
4
KUUZA DUKANI
3
KUUZA GENGE
33
KUUZA GIFT BOX
2
KUUZA GUNIA TUPU
1
KUUZA ICECREAM
1
KUUZA JUICE
4
KUUZA JUICE YA MIWA
1
KUUZA JUISI
6
KUUZA KACHORI
2
KUUZA KAHAWA
1
KUUZA KAMBA
1
KUUZA KARANGA
4
KUUZA KARANGA,MKAA
1
KUUZA KEKI
2
KUUZA KIBANDA
1
KUUZA KUKU
2
KUUZA KUKU KUKAANGA
1
KUUZA KUKU WA KUKAAN
1
KUUZA KUKU WAKUKAANG
1
KUUZA KUNI
13
KUUZA MAANDAZI
17
KUUZA MACHUNGWA
1
KUUZA MADELA VITAMBA
1
KUUZA MADINI
3
KUUZA MAEMBE
2
KUUZA MAFUTA PETROL
1
KUUZA MAFUTA YA KULA
1
KUUZA MAFUTA YA TAA
1
KUUZA MAGARI
1
KUUZA MAGAZETI
1
KUUZA MAHARAGE
1
KUUZA MAHINDI
7
KUUZA MAHINDI KUCHOM
1
KUUZA MAJI
10
KUUZA MAKONGORO
1
KUUZA MALAI
3
KUUZA MALI
1
KUUZA MANDAZI
1
KUUZA MASHUKA
1
KUUZA MATUNDA
9
KUUZA MAUA
1
KUUZA MAWE
2
KUUZA MAWESE
1
KUUZA MAYAI
2
KUUZA MAZAO
2
KUUZA MAZAO GENGENI
2
KUUZA MAZIWA
1
KUUZA MBAO
2
KUUZA MBATATA
1
KUUZA MBOGA
5
KUUZA MBOGA MATUNDA
1
KUUZA MBOGA MBOGA
1
KUUZA MBOGAMBOGA
6
KUUZA MCHELE
1
KUUZA MCHELE,NYANYA
1
KUUZA MCHICHA\MANDAZ
1
KUUZA MGAHAWA
2
KUUZA MICHE YA MBAO
1
KUUZA MIFUKO
1
KUUZA MIFUKO YA KARA
1
KUUZA MIHOGO
3
KUUZA MIHOGO KUKAANG
1
KUUZA MIHOGO YA KUKA
1
KUUZA MIHOGO/KUKANGA
1
KUUZA MIKATE
3
KUUZA MIKATE REJAREJ
1
KUUZA MIKEKA
1
KUUZA MITUMBA
3
KUUZA MIWA
1
KUUZA MKAA
30
KUUZA MKAA JUMLA
1
KUUZA MKAA REJAREJA
2
KUUZA MPUNGA
1
KUUZA MWANI
3
KUUZA NAFAKA
4
KUUZA NDIZI
3
KUUZA NDIZI ZA KUKAA
1
KUUZA NG'OMBE
3
KUUZA NGUO
37
KUUZA NGUO (MPYA)
1
KUUZA NGUO MINADANI
1
KUUZA NGUO MITAANI
1
KUUZA NGUO MITUMBA
6
KUUZA NGUO NA VIATU
1
KUUZA NGUO NA VITENG
1
KUUZA NGUO REJAREJA
1
KUUZA NGUO VYOMBO
1
KUUZA NGUO ZA MITUMB
4
KUUZA NYAMA
4
KUUZA NYAMA YA NG'OM
1
KUUZA NYAMA ZA KUKU
1
KUUZA NYANYA
3
KUUZA NYANYA MITAANI
1
KUUZA OIL ZA MAGARI
1
KUUZA PARACHICHI
1
KUUZA PEMBEJEO
1
KUUZA PILIPILI HOHO
1
KUUZA POCHI
1
KUUZA POMBE
19
KUUZA POMBE KIBUKU
1
KUUZA POMBE KIENYEJI
8
KUUZA POMBE ZA KIENY
3
KUUZA POMBE/MAANDAZI
1
KUUZA POMBE/MKAA
2
KUUZA PWEZA JUMLA
1
KUUZA SABUNI
5
KUUZA SABUNI UNGA
1
KUUZA SABUNI YA UNGA
1
KUUZA SABUNI ZA MAJI
1
KUUZA SAMAKI
21
KUUZA SAMAKI WA KUKA
1
KUUZA SAMAKI(KUKAANG
1
KUUZA SAMBUSA
3
KUUZA SHANGA
1
KUUZA SIMU
1
KUUZA SUPU
1
KUUZA TANGAWIZI
1
KUUZA TOFALI ZA KUCH
1
KUUZA TOGWA
1
KUUZA TUMBAKU
2
KUUZA UBUYU
2
KUUZA UDONGO DHAHABU
1
KUUZA UJI SAMBUSA
1
KUUZA ULANZI
1
KUUZA UREMBO
1
KUUZA VIATU
5
KUUZA VIATU MITUMBA
1
KUUZA VIATU MTUMBA
1
KUUZA VIAZI
4
KUUZA VIFAA COMPYUTA
1
KUUZA VIFAA VYA SHUL
1
KUUZA VIFAA VYA SIMU
1
KUUZA VIFAA VYA UJEN
1
KUUZA VINWAJI
1
KUUZA VINYWAJI
13
KUUZA VINYWAJI BARIB
1
KUUZA VINYWAJI BARID
2
KUUZA VINYWAJI VIKAL
2
KUUZA VIPODOZI
1
KUUZA VITABU
1
KUUZA VITAFUNIO
4
KUUZA VITAFUNWA
3
KUUZA VITENGE
4
KUUZA VITENGE REJARE
1
KUUZA VITENGE/MADIRA
2
KUUZA VITU REJAREJA
1
KUUZA VITUMBUA
7
KUUZA VITUNGUU
4
KUUZA VIUNGO
2
KUUZA VIUNGO VYA CHA
1
KUUZA VOCHA
1
KUUZA VYAKULA
3
KUUZA VYAKULA DUKANI
1
KUUZA VYAKULA MATUND
1
KUUZA VYANDARUA
1
KUUZA VYOMBO
2
KUUZA VYOMBO VYA JIK
1
KUUZA VYUMA CHAKAVU
3
KUUZA YEBOYEBO
1
KUUZACOVER ZA BIBLIA
2
KUVUA
4
KUVUA DAGAA
1
KUVUA SAMAKI
11
KUVUMA NDIZI
1
KUVUNA
63
KUVUNA ALIZETI
10
KUVUNA KARANGA
38
KUVUNA KOROSHO
1
KUVUNA KUNDE
4
KUVUNA MAHARAGE
39
KUVUNA MAHINDI
156
KUVUNA MAZAO
63
KUVUNA MBAAZI
30
KUVUNA MBOGA
1
KUVUNA MIHOGO
12
KUVUNA MPUNGA
93
KUVUNA MTAMA
18
KUVUNA MUHOGO
3
KUVUNA NA KULIMA
1
KUVUNA NA KUPALILIA
1
KUVUNA NDIZI
2
KUVUNA NYANYA
1
KUVUNA PAMBA
48
KUVUNA SAMAKI
1
KUVUNA TUMBAKU
13
KUVUNA UFUTA
44
KUVUNA ULEZI
5
KUVUNA UPUPU
2
KUVUNA VIAZI
19
KUVUNA VIAZI MAHINDI
2
KUVUNA VIAZI VITAMU
5
KUVUNJA KOKOTO
3
KUVUNJA MAWE
1
KUWAPA KUKU CHAKULA
1
KUWAPATIA CHAKULA
1
KUWEKA MATUTA
1
KUWEKA MBOLEA
4
KUWEKA TILES
1
KUWINDA NDEGE SHAMBA
1
KUZA DUKA LA VYAKULA
1
KUZIBA PANCHA
1
M-PESA
1
M/LIMA MAZAO CHAKULA
3
MACHINGA
1
MAFUNZO YA ZIADA SM
1
MAJI KUPULIZIA DAWA
2
MAMA LISHE
29
MAMA NTILIE
1
MCHUKUZI MZIGO
1
MFANYA BIASHARA
1
MFINYANZI VYUNGU
1
MFUGAJI
1
MFUGAJI KUKU
1
MFUGAJI WA KUKU
2
MGANGA WA JADI
4
MGANGA WA KIENYEJI
3
MIFUGO
3
MISITU
1
MJENZI
1
MKULIMA
181
MKULIMA KAHAWA
1
MKULIMA MAGIMBI
1
MKULIMA MAHINDI
13
MKULIMA MAZAO CHAKUL
13
MKULIMA MIGOMBA
25
MKULIMA MIHOGO
16
MKULIMA MPUNGA
32
MKULIMA MTAMA
1
MKULIMA NAFAKA
6
MKULIMA PAMBA
4
MKULIMA VIAZI
5
MKULIMA VIAZI VITAMU
2
MKULIMA WA BUSTANI
1
MKULIMA WA MAHINDI
2
MKULIMA WA MBOGA
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1
What kind of work does [NAME] usually do in this economic activity?
5837
10448
1
934
What kind of trade or business is it connected with?
5840
0
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1
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1
UUZAJI WA MIKEKA
1
UUZAJI WA NGUO
5
UUZAJI WA NGUO NA VI
1
UUZAJI WA NGUO ZA MI
1
UUZAJI WA NYAMA
1
UUZAJI WA POMBE ZA K
1
UUZAJI WA SAMAKI
1
UUZAJI WA TUMBAKU
1
UUZAJI WA VIAZI
1
UUZAJI WA VYAKULA
1
UUZAJIKOKOTO
1
UVUVI
31
UVUVI WA SAMAKI
1
UWAKILI
1
UZAJI BADIA
1
UZAJI BIASHARA
1
UZAJI DUKA
3
UZAJI DUKA LA VYAKUL
1
UZAJI JUISI
1
UZAJI KACHORI
1
UZAJI KEKI
1
UZAJI KOKOTO
1
UZAJI KUNI
2
UZAJI MAANDAZI
1
UZAJI MAHINDI
1
UZAJI MALAI
3
UZAJI MALI
1
UZAJI MCHELE NA NGUO
1
UZAJI MIHOGO KUKAANG
1
UZAJI MIKATE
1
UZAJI MWANI
3
UZAJI NGUO
1
UZAJI SIMU
1
UZAJI VISHETI
1
UZAJI VYAKULA MATUND
1
UZAJI WA JUISI
1
UZAJI WA VYOMBO
1
VIFAA STATIONAR UREM
1
VINYWAJI KIENYEJI
1
WELDING FUNDI CHUMA
1
biashara
2
kilimo
26
kufuga kuku
1
mgahawa
1
mkulima
4
ufugaji
1
What kind of trade or business is it connected with?
5839
10446
1
4923
Where you able to work in the last 7 days?
6383
9902
1
2
1
yes
932
2
no
5451
Sysmiss
9902
Why were you not available for work during the last 7 days?
5454
10831
1
6
1
IN SCHOOL
2913
2
BUSY WITH HOUSEHOLD DUTIES
1527
3
UNABLE TO WORK: TOO YOUNG
549
4
UNABLE TO WORK: TOO OLD
132
5
UNABLE TO WORK: SICK
303
6
UNABLE TO WORK: DISABLED
30
Sysmiss
10831
Although [NAME] did not do any work during the last 7 days, do [NAME] have a job
932
15353
1
2
1
yes
487
2
no
445
Sysmiss
15353
Has [NAME] taken any steps within the past 4 weeks to look for work?
445
15840
1
2
1
yes
126
2
no
319
Sysmiss
15840
What steps has [NAME] taken to find work in the past 4 weeks? (Primary)
155
16130
1
5
1
REGISTERED WITH A RECRUITMENT AGENCY
21
2
REPLIED TO ADVERTISEMENTS IN NEWSPAPERS, POSTERS, OR INTERNET
32
3
INQUIRING FORM PERSONS WITH PUBLIC OR PRIVATE SECTOR JOB CONTRACTS
60
4
FRIENDS/RELATIVES
33
5
OTHER (SPECIFY)
9
Sysmiss
16130
What steps has [NAME] taken to find work in the past 4 weeks? (Secondary)
34
16251
1
4
1
REGISTERED WITH A RECRUITMENT AGENCY
1
2
REPLIED TO ADVERTISEMENTS IN NEWSPAPERS, POSTERS, OR INTERNET
5
3
INQUIRING FORM PERSONS WITH PUBLIC OR PRIVATE SECTOR JOB CONTRACTS
10
4
FRIENDS/RELATIVES
18
5
OTHER (SPECIFY)
0
Sysmiss
16251
CHECK: IS THE ANSWER TO QUESTION 4B OR 8B 'YES'?
13460
2825
1
3
1
YES TO 4AB OR 8AB
1206
2
YES TO BOTH 4AB AND 8AB
1633
3
NO TO BOTH 4AB AND 8AB
10621
Sysmiss
2825
Did [NAME] work in the same wage job in the last 7 days and the last 12 months?
1633
14652
1
2
1
yes
1541
2
no
92
Sysmiss
14652
Is [NAME]'s employer for this work…
2839
13446
1
10
1
CENTRAL GOV
256
2
LOCAL GOV
70
3
parastatal
18
4
POLITICAL PARTY
4
5
cooperative
2
6
ngo
10
7
INT'L ORG
14
8
RELIGIOUS ORG
32
9
PRIVATE SECTOR
2419
10
OTHER(SPECIFY)
14
Sysmiss
13446
What kind of work do you usually do in this job? DESC
2839
0
**CONFIDENTIAL**
2839
What kind of work do you usually do in this job? CODE
2836
0
011
20
012
13
11
7
111
1
112
1
113
5
114
1
12
1
123
1
131
8
21
2
211
1
212
4
213
2
214
4
222
5
223
7
224
1
231
13
232
10
239
17
241
2
242
5
243
3
244
3
245
1
246
4
31
2
311
4
314
2
321
1
322
5
323
15
324
1
331
25
332
4
333
50
334
8
335
2
339
4
341
10
343
4
344
1
345
2
346
2
347
4
348
6
411
14
412
4
413
10
414
1
415
25
42
1
421
19
422
6
51
1
511
6
512
54
513
84
514
7
516
113
520
64
531
27
532
18
533
12
611
4
612
1
614
7
621
198
71
1
711
8
712
57
713
59
714
12
721
8
722
1
723
27
724
16
731
2
732
10
734
28
741
3
742
1
743
6
749
5
811
4
812
2
816
1
82
1
821
2
823
2
824
3
825
2
826
3
827
6
828
1
829
7
831
5
832
101
833
5
834
5
911
7
912
3
913
75
914
7
915
38
916
5
919
57
921
1024
93
40
930
1
931
131
932
25
933
32
934
17
X13
2
X21
3
X31
5
What kind of trade or business is it connected with? - DESC
2839
0
**CONFIDENTIAL**
2839
What kind of trade or business is it connected with? - CODE
2836
13449
1
4923
1
CROP AND ANIMAL PRODUCTION, HUNTING AND RELATED SERVICE ACTIVITIES
1153
2
FORESTRY AND LOGGING
12
3
FISHING AND AQUACULTURE
80
5
MINING OF COAL AND LIGNITE
3
6
EXTRACTION OF CRUDE PETROLEUM AND NATURAL GAS
0
7
MINING OF METAL ORES
3
8
OTHER MINING AND QUARRYING
31
9
MINING SUPPORT SERVICE ACTIVITIES
3
10
MANUFACTURE OF FOOD PRODUCTS
0
11
MANUFACTURE OF BEVERAGES
10
12
MANUFACTURE OF TOBACCO PRODUCTS
0
13
MANUFACTURE OF TEXTILES
11
14
MANUFACTURE OF WEARING APPAREL
9
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
3
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
1
22
MANUFACTURE OF RUBBER AND PLASTICS PRODUCTS
4
23
MANUFACTURE OF OTHER NON-METALLIC MINERAL PRODUCTS
0
24
MANUFACTURE OF BASIC METALS
4
25
MANUFACTURE OF FABRICATED METAL PRODUCTS, EXCEPT MACHINERY AND EQUIPMENT
2
26
MANUFACTURE OF COMPUTER, ELECTRONIC AND OPTICAL PRODUCTS
0
27
MANUFACTURE OF ELECTRICAL EQUIPMENT
2
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
9
32
OTHER MANUFACTURING
13
33
REPAIR AND INSTALLATION OF MACHINERY AND EQUIPMENT
24
35
ELECTRICITY, GAS, STEAM AND AIR CONDITIONING SUPPLY
7
36
WATER COLLECTION, TREATMENT AND SUPPLY
9
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
283
42
CIVIL ENGINEERING
1
43
SPECIALIZED CONSTRUCTION ACTIVITIES
11
45
WHOLESALE AND RETAIL TRADE AND REPAIR OF MOTOR VEHICLES AND MOTORCYCLES
4
46
WHOLESALE TRADE, EXCEPT OF MOTOR VEHICLES AND MOTORCYCLES
10
47
RETAIL TRADE, EXCEPT OF MOTOR VEHICLES AND MOTORCYCLES
0
49
LAND TRANSPORT AND TRANSPORT VIA PIPELINES
0
50
WATER TRANSPORT
15
51
AIR TRANSPORT
5
52
WAREHOUSING AND SUPPORT ACTIVITIES FOR TRANSPORTATION
7
53
POSTAL AND COURIER ACTIVITIES
1
55
accommodation
43
56
FOOD AND BEVERAGE SERVICE ACTIVITIES
7
58
PUBLISHING ACTIVITIES
4
59
MOTION PICTURE, VIDEO AND TELEVISION PROGRAMME PRODUCTION, SOUND RECORDING AND MUSIC PUBLISHING ACTIVITIES
1
60
PROGRAMMING AND BROADCASTING ACTIVITIES
3
61
telecommunications
16
62
COMPUTER PROGRAMMING, CONSULTANCY AND RELATED ACTIVITIES
0
63
INFORMATION SERVICE ACTIVITIES
2
64
FINANCIAL SERVICE ACTIVITIES, EXCEPT INSURANCE AND PENSION FUNDING
18
65
INSURANCE, REINSURANCE AND PENSION FUNDING, EXCEPT COMPULSORY SOCIAL SECURITY
3
66
ACTIVITIES AUXILIARY TO FINANCIAL SERVICE AND INSURANCE ACTIVITIES
2
68
REAL ESTATE ACTIVITIES
0
69
LEGAL AND ACCOUNTING ACTIVITIES
4
70
ACTIVITIES OF HEAD OFFICES; MANAGEMENT CONSULTANCY ACTIVITIES
2
71
ARCHITECTURAL AND ENGINEERING ACTIVITIES; TECHNICAL TESTING AND ANALYSIS
1
72
SCIENTIFIC RESEARCH AND DEVELOPMENT
3
73
ADVERTISING AND MARKET RESEARCH
0
74
OTHER PROFESSIONAL, SCIENTIFIC AND TECHNICAL ACTIVITIES
8
75
VETERINARY ACTIVITIES
0
77
RENTAL AND LEASING ACTIVITIES
1
78
EMPLOYMENT ACTIVITIES
4
79
TRAVEL AGENCY, TOUR OPERATOR, RESERVATION SERVICE AND RELATED ACTIVITIES
8
80
SECURITY AND INVESTIGATION ACTIVITIES
42
81
SERVICES TO BUILDINGS AND LANDSCAPE ACTIVITIES
5
82
OFFICE ADMINISTRATIVE, OFFICE SUPPORT AND OTHER BUSINESS SUPPORT ACTIVITIES
21
84
PUBLIC ADMINISTRATION AND DEFENCE; COMPULSORY SOCIAL SECURITY
68
85
education
162
86
HUMAN HEALTH ACTIVITIES
44
87
RESIDENTIAL CARE ACTIVITIES
6
88
SOCIAL WORK ACTIVITIES WITHOUT ACCOMMODATION
21
90
CREATIVE, ARTS AND ENTERTAINMENT ACTIVITIES
4
91
LIBRARIES, ARCHIVES, MUSEUMS AND OTHER CULTURAL ACTIVITIES
6
92
GAMBLING AND BETTING ACTIVITIES
0
93
SPORTS ACTIVITIES AND AMUSEMENT AND RECREATION ACTIVITIES
3
94
ACTIVITIES OF MEMBERSHIP ORGANIZATIONS
6
95
REPAIR OF COMPUTERS AND PERSONAL AND HOUSEHOLD GOODS
3
96
OTHER PERSONAL SERVICE ACTIVITIES
84
97
ACTIVITIES OF HOUSEHOLDS AS EMPLOYERS OF DOMESTIC PERSONNEL
73
98
UNDIFFERENTIATED GOODS- AND SERVICES-PRODUCING ACTIVITIES OF PRIVATE HOUSEHOLDS FOR OWN USE
2
99
ACTIVITIES OF EXTRATERRITORIAL ORGANIZATIONS AND BODIES
4
101
PROCESSING AND PRESERVING OF MEAT
1
102
PROCESSING AND PRESERVING OF FISH, CRUSTACEANS AND MOLLUSKS
3
103
PROCESSING AND PRESERVING OF FRUIT AND VEGETABLES
0
104
MANUFACTURE OF VEGETABLE AND ANIMAL OILS AND FATS
3
105
MANUFACTURE OF DAIRY PRODUCTS
2
106
MANUFACTURE OF GRAIN MILL PRODUCTS, STARCHES AND STARCH PRODUCTS
9
107
MANUFACTURE OF OTHER FOOD PRODUCTS
10
108
MANUFACTURE OF PREPARED ANIMAL FEEDS
0
452
1
471
RETAIL SALE IN NON-SPECIALIZED STORES
17
472
RETAIL SALE OF FOOD, BEVERAGES AND TOBACCO IN SPECIALIZED STORES
20
473
RETAIL SALE OF AUTOMOTIVE FUEL IN SPECIALIZED STORES
2
474
RETAIL SALE OF INFORMATION AND COMMUNICATIONS EQUIPMENT IN SPECIALIZED STORES
1
475
RETAIL SALE OF OTHER HOUSEHOLD EQUIPMENT IN SPECIALIZED STORES
7
476
RETAIL SALE OF CULTURAL AND RECREATION GOODS IN SPECIALIZED STORES
2
477
RETAIL SALE OF OTHER GOODS IN SPECIALIZED STORES
35
478
RETAIL SALE VIA STALLS AND MARKETS
67
479
RETAIL TRADE NOT IN STORES, STALLS OR MARKETS
34
491
TRANSPORT VIA RAILWAYS
6
492
OTHER LAND TRANSPORT
32
493
TRANSPORT VIA PIPELINE
0
561
RESTAURANTS AND MOBILE FOOD SERVICE ACTIVITIES
28
562
EVENT CATERING AND OTHER FOOD SERVICE ACTIVITIES
31
563
BEVERAGE SERVING ACTIVITIES
8
4921
URBAN AND SUBURBAN PASSENGER LAND TRANSPORT
35
4922
OTHER PASSENGER LAND TRANSPORT
26
4923
FREIGHT TRANSPORT BY ROAD
42
Sysmiss
13449
How many people altogether work at the place where you do this work?
2841
13444
0
3000
Do you receive wages, salary or other payments either in cash or in other forms
2841
13444
1
2
1
yes
2767
2
no
74
Sysmiss
13444
What is the main reason you receive no payment for this work?
72
16213
1
3
1
APPRENTICESHIP OR UNPAID TRAINEESHIP
54
2
LABOR PAYING OFF DEBT
0
3
OTHER (SPECIFY)
18
Sysmiss
16213
How much was your last payment? IF RESPONDENT HAS NOT YET BEEN PAID, ASK: What p
2761
13524
0
7001000
What period of time did this payment cover?
2761
13524
1
8
1
hour
46
2
day
1157
3
week
457
4
fortnight
104
5
month
974
6
quarter
16
7
HALF YEAR
2
8
year
5
Sysmiss
13524
Do you receive any payment for this work in any other form?
2760
13525
1
2
1
yes
553
2
no
2207
Sysmiss
13525
What is the value of those payments?
553
15732
300
4500000
Over what time interval?
553
15732
1
8
1
hour
5
2
day
261
3
week
61
4
fortnight
12
5
month
198
6
quarter
7
7
HALF YEAR
0
8
year
9
Sysmiss
15732
During the last 12 months, for how many months did you work in this job?
2839
13446
0
12
0
18
1
458
2
268
3
301
4
201
5
123
6
188
7
69
8
85
9
52
10
78
11
42
12
956
Sysmiss
13446
During the last 12 months, how many weeks per month do you usually work in this
2839
13446
0
8
0
17
1
444
2
419
3
201
4
1697
5
60
8
1
Sysmiss
13446
During the last 12 months, how many hours per week do you usually work in this j
2837
13448
0
200
In the last 7 days, how many hours did you work in this job?
2837
13448
0
168
Does this job have a contract?
2839
13446
1
2
1
yes
551
2
no
2288
Sysmiss
13446
What is the type of your work contract?
554
15731
0
4
0
2
1
PERMANENT CONTRACT
335
2
SPECIFIC TASK
23
3
FIXED TIME
147
4
casual
47
Sysmiss
15731
Does this job: offer paternity/maternity leave
2842
13443
1
2
1
yes
285
2
no
2557
Sysmiss
13443
Does this job: withhold taxes from your wages
2842
13443
1
2
1
yes
384
2
no
2458
Sysmiss
13443
Does this job: offer health insurance
2842
13443
1
2
1
yes
213
2
no
2629
Sysmiss
13443
Other than the job just listed, have you had any other sort of wage employment i
2840
13445
1
2
1
yes
213
2
no
2627
Sysmiss
13445
Is your main employer in this secondary wage work …
213
16072
1
10
1
CENTRAL GOV
2
2
LOCAL GOV
5
3
parastatal
2
4
POLITICAL PARTY
1
5
cooperative
0
6
ngo
1
7
INT'L ORG
0
8
RELIGIOUS ORG
3
9
PRIVATE SECTOR
197
10
OTHER (SPECIFY)
2
Sysmiss
16072
What kind of work do you usually do in this (second) job? - DESC
213
0
**CONFIDENTIAL**
213
What kind of work do you usually do in this (second) job? - CODE
212
0
123
1
244
1
31
1
333
1
334
1
339
1
343
1
347
1
348
1
413
1
415
1
421
1
511
1
512
2
513
3
514
1
516
12
520
2
531
3
532
3
533
3
614
1
621
26
711
3
712
4
713
8
721
2
722
1
723
1
724
2
732
1
734
2
741
1
743
1
816
1
827
1
829
2
832
3
913
2
915
3
916
2
919
4
921
68
93
3
931
22
932
1
933
4
934
1
What kind of trade or business is it connected with? - DESC
213
0
**CONFIDENTIAL**
213
What kind of trade or business is it connected with? - CODE
212
16073
1
4923
1
CROP AND ANIMAL PRODUCTION, HUNTING AND RELATED SERVICE ACTIVITIES
87
2
FORESTRY AND LOGGING
2
3
FISHING AND AQUACULTURE
6
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
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
5
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
2
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
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
1
32
OTHER MANUFACTURING
3
33
REPAIR AND INSTALLATION OF MACHINERY AND EQUIPMENT
2
35
ELECTRICITY, GAS, STEAM AND AIR CONDITIONING SUPPLY
1
36
WATER COLLECTION, TREATMENT AND SUPPLY
1
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
35
42
CIVIL ENGINEERING
0
43
SPECIALIZED CONSTRUCTION ACTIVITIES
0
45
WHOLESALE AND RETAIL TRADE AND REPAIR OF MOTOR VEHICLES AND MOTORCYCLES
1
46
WHOLESALE TRADE, EXCEPT OF MOTOR VEHICLES AND MOTORCYCLES
1
47
RETAIL TRADE, EXCEPT OF MOTOR VEHICLES AND MOTORCYCLES
0
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
0
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
1
61
telecommunications
1
62
COMPUTER PROGRAMMING, CONSULTANCY AND RELATED ACTIVITIES
0
63
INFORMATION SERVICE ACTIVITIES
0
64
FINANCIAL SERVICE ACTIVITIES, EXCEPT INSURANCE AND PENSION FUNDING
0
65
INSURANCE, REINSURANCE AND PENSION FUNDING, EXCEPT COMPULSORY SOCIAL SECURITY
1
66
ACTIVITIES AUXILIARY TO FINANCIAL SERVICE AND INSURANCE ACTIVITIES
0
68
REAL ESTATE ACTIVITIES
0
69
LEGAL AND ACCOUNTING ACTIVITIES
0
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
0
80
SECURITY AND INVESTIGATION ACTIVITIES
4
81
SERVICES TO BUILDINGS AND LANDSCAPE ACTIVITIES
0
82
OFFICE ADMINISTRATIVE, OFFICE SUPPORT AND OTHER BUSINESS SUPPORT ACTIVITIES
2
84
PUBLIC ADMINISTRATION AND DEFENCE; COMPULSORY SOCIAL SECURITY
1
85
education
3
86
HUMAN HEALTH ACTIVITIES
2
87
RESIDENTIAL CARE ACTIVITIES
1
88
SOCIAL WORK ACTIVITIES WITHOUT ACCOMMODATION
1
90
CREATIVE, ARTS AND ENTERTAINMENT ACTIVITIES
0
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
1
96
OTHER PERSONAL SERVICE ACTIVITIES
10
97
ACTIVITIES OF HOUSEHOLDS AS EMPLOYERS OF DOMESTIC PERSONNEL
3
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
1
108
MANUFACTURE OF PREPARED ANIMAL FEEDS
0
471
RETAIL SALE IN NON-SPECIALIZED STORES
3
472
RETAIL SALE OF FOOD, BEVERAGES AND TOBACCO IN SPECIALIZED STORES
4
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
1
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
5
479
RETAIL TRADE NOT IN STORES, STALLS OR MARKETS
2
491
TRANSPORT VIA RAILWAYS
0
492
OTHER LAND TRANSPORT
3
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
1
4921
URBAN AND SUBURBAN PASSENGER LAND TRANSPORT
3
4922
OTHER PASSENGER LAND TRANSPORT
1
4923
FREIGHT TRANSPORT BY ROAD
1
Sysmiss
16073
Does [NAME] receive wages, salary or other payments either in cash or in other f
213
16072
1
2
1
yes
205
2
no
8
Sysmiss
16072
What is the main reason you receive no payment for this work?
8
16277
1
3
1
APPRENTICESHIP OR UNPAID TRAINEESHIP
7
2
LABOR PAYING OFF DEBT
0
3
OTHER (SPECIFY)
1
Sysmiss
16277
How much was your last payment? IF RESPONDENT HAS NOT YET BEEN PAID, ASK: What p
205
16080
1000
2000000
Over what time interval?
205
16080
1
7
1
hour
2
2
day
108
3
week
44
4
fortnight
6
5
month
34
6
quarter
9
7
HALF YEAR
2
8
year
0
Sysmiss
16080
Does [NAME] receive any payment for this work in any other form?
205
16080
1
2
1
yes
47
2
no
158
Sysmiss
16080
What is the value of those payments?
47
16238
1000
240000
Over what time interval?
47
16238
2
6
1
hour
0
2
day
32
3
week
8
4
fortnight
0
5
month
5
6
quarter
2
7
HALF YEAR
0
8
year
0
Sysmiss
16238
In the last 7 days, how many hours did [NAME] work in this job?
213
16072
0
105
Does this job have a contract?
215
16070
1
2
1
yes
14
2
no
201
Sysmiss
16070
What is the type of your work contract?
14
16271
1
4
1
PERMANENT CONTRACT
2
2
SPECIFIC TASK
0
3
FIXED TIME
5
4
casual
7
Sysmiss
16271
Are you a member of any trade union?
13436
2849
1
2
1
yes
164
2
no
13272
Sysmiss
2849
IS THE ANSWER TO QUESTION 8CD 'YES'?
13457
2828
1
2
1
1644
2
11813
Sysmiss
2828
In the last 7 days, how many hours did [NAME] work as an unpaid family worker on
1641
14644
0
119
IS THE ANSWER TO QUESTION 4E OR 8E 'YES'?
13457
2828
1
2
1
yes
6407
2
no
7050
Sysmiss
2828
In the last 7 days, how many hours did [NAME] spend on household agricultural ac
6408
9877
0
105
Were you available to work more hours in the last 7 days?
13455
2830
0
3
0
32
1
2839
2
10583
3
1
Sysmiss
2830
How many hours did [NAME] spend yesterday collecting firewood (or other fuel mat
13460
2825
0
8
0
12694
1
319
2
262
3
101
4
41
5
20
6
15
7
7
8
1
Sysmiss
2825
How many hours did [NAME] spend yesterday collecting/ fetching water? - HOURS
13459
2826
0
90
Case Section Roster / Line Occurrence Sequence for O/S Merge
16285
0
1
33
Unique Household Identification NPS Y4
16285
0
Individual ID
16285
0
1
33
Did [NAME] consume any meals/ snacks/ drinks outside the household in the past 7
16241
44
1
2
1
yes
3053
2
no
13188
Sysmiss
44
In the past 7 days did [NAME] consume any full meals (breakfast, lunch or dinner
3133
13152
1
2
1
yes
2429
2
no
704
Sysmiss
13152
What was the value of this consumption?
2348
13937
0
125000
In the past 7 days did [NAME] consume any barbecued meat, chips, roast bananas a
3048
13237
1
2
1
yes
533
2
no
2515
Sysmiss
13237
What was the value of this consumption?
531
15754
200
50000
In the past 7 days did [NAME] consume any kibuku and other local brews outside o
3048
13237
1
2
1
yes
207
2
no
2841
Sysmiss
13237
What was the value of this consumption?
206
16079
500
35000
In the past 7 days did [NAME] consume any wine, commercial beer and spirits outs
3048
13237
1
2
1
yes
153
2
no
2895
Sysmiss
13237
What was the value of this consumption?
151
16134
500
90000
In the past 7 days did [NAME] consume any sodas and other non-alcoholic drinks o
3048
13237
1
2
1
yes
1333
2
no
1715
Sysmiss
13237
What was the value of this consumption?
1333
14952
0
61000
In the past 7 days did [NAME] consume any sweets, ice-cream outside of the house
3047
13238
1
2
1
yes
325
2
no
2722
Sysmiss
13238
What was the value of this consumption?
324
15961
50
9000
In the past 7 days did [NAME] consume any tea, coffee, samosa, cake and other ho
3048
13237
1
2
1
yes
1047
2
no
2001
Sysmiss
13237
What was the value of this consumption?
1047
15238
0
80000
Case Section Roster / Line Occurrence Sequence for O/S Merge
16285
0
1
33
Unique Household Identification NPS Y4
16285
0
Individual ID
16285
0
1
33
IS THIS PERSON ANSWERING FOR HIMSELF/ HERSELF?
16245
40
1
2
1
yes
7432
2
no
8813
Sysmiss
40
IS NAME OVER AGE 15?
7432
8853
1
2
1
yes
6896
2
no
536
Sysmiss
8853
How satisfied or dissatisfied would you say you are with A. Your health?
6896
9389
1
8
1
VERY SATISFIED
1818
2
satisfied
2877
3
SOMEWHAT SATISFIED
821
4
NEITHER SATISFIED NOR DISSATISFIED
70
5
SOMEWHAT DISSATISFIED
266
6
dissatisfied
812
7
VERY DISSATISFIED
230
8
NOT APPLICABLE
2
Sysmiss
9389
How satisfied or dissatisfied would you say you are with B. Your financial situa
6896
9389
1
8
1
VERY SATISFIED
149
2
satisfied
862
3
SOMEWHAT SATISFIED
1045
4
NEITHER SATISFIED NOR DISSATISFIED
220
5
SOMEWHAT DISSATISFIED
491
6
dissatisfied
2535
7
VERY DISSATISFIED
1510
8
NOT APPLICABLE
84
Sysmiss
9389
How satisfied or dissatisfied would you say you are with C. Your housing?
6896
9389
1
8
1
VERY SATISFIED
603
2
satisfied
2174
3
SOMEWHAT SATISFIED
1163
4
NEITHER SATISFIED NOR DISSATISFIED
101
5
SOMEWHAT DISSATISFIED
384
6
dissatisfied
1747
7
VERY DISSATISFIED
707
8
NOT APPLICABLE
17
Sysmiss
9389
How satisfied or dissatisfied would you say you are with D. Your job?
6895
9390
1
8
1
VERY SATISFIED
498
2
satisfied
1669
3
SOMEWHAT SATISFIED
1097
4
NEITHER SATISFIED NOR DISSATISFIED
121
5
SOMEWHAT DISSATISFIED
389
6
dissatisfied
1439
7
VERY DISSATISFIED
577
8
NOT APPLICABLE
1105
Sysmiss
9390
How satisfied or dissatisfied would you say you are with E. The health care avai
6896
9389
1
8
1
VERY SATISFIED
388
2
satisfied
1509
3
SOMEWHAT SATISFIED
970
4
NEITHER SATISFIED NOR DISSATISFIED
265
5
SOMEWHAT DISSATISFIED
447
6
dissatisfied
1983
7
VERY DISSATISFIED
1270
8
NOT APPLICABLE
64
Sysmiss
9389
How satisfied or dissatisfied would you say you are with F. The education availa
6896
9389
1
8
1
VERY SATISFIED
296
2
satisfied
1265
3
SOMEWHAT SATISFIED
765
4
NEITHER SATISFIED NOR DISSATISFIED
250
5
SOMEWHAT DISSATISFIED
393
6
dissatisfied
2299
7
VERY DISSATISFIED
1322
8
NOT APPLICABLE
306
Sysmiss
9389
How satisfied or dissatisfied would you say you are with G. Your protection agai
6896
9389
1
8
1
VERY SATISFIED
1568
2
satisfied
3156
3
SOMEWHAT SATISFIED
806
4
NEITHER SATISFIED NOR DISSATISFIED
89
5
SOMEWHAT DISSATISFIED
255
6
dissatisfied
670
7
VERY DISSATISFIED
345
8
NOT APPLICABLE
7
Sysmiss
9389
How satisfied or dissatisfied would you say you are with H. Your life as a whole
6896
9389
1
8
1
VERY SATISFIED
277
2
satisfied
1286
3
SOMEWHAT SATISFIED
1474
4
NEITHER SATISFIED NOR DISSATISFIED
133
5
SOMEWHAT DISSATISFIED
526
6
dissatisfied
2111
7
VERY DISSATISFIED
1063
8
NOT APPLICABLE
26
Sysmiss
9389
Just thinking about your current circumstances, would you describe yourself as:
6895
9390
1
8
1
VERY RICH
2
2
rich
13
3
comfortable
546
4
CAN MANAGE TO GET BY
1288
5
NEVER HAVE QUITE ENOUGH
2713
6
poor
1954
7
destitute
143
8
NO OPINION
236
Sysmiss
9390
Just thinking about your circumstances that you were living in at the time of th
6896
9389
1
8
1
VERY RICH
1
2
rich
13
3
comfortable
644
4
CAN MANAGE TO GET BY
1441
5
NEVER HAVE QUITE ENOUGH
2405
6
poor
1866
7
destitute
171
8
NO OPINION
355
Sysmiss
9389
IS [NAME] OVER AGE 12?
16245
40
1
2
1
yes
10166
2
no
6079
Sysmiss
40
In the last 12 months, has [NAME] been a victim of a crime?
10165
6120
1
2
1
yes
728
2
no
9437
Sysmiss
6120
What was the type of crime?
727
15558
1
9
1
theft
9
2
MOTORBIKE THEFT
4
3
BICYCLE THEFT
26
4
THEFT OF PERSONAL PROPERTY
343
5
LIVESTOCK THEFT
107
6
CROP THEFT
109
7
HOME BURGLARY
55
8
assault
15
9
OTHER, SPECIFY
59
Sysmiss
15558
Did [NAME] or someone else report this crime to the police?
727
15558
1
2
1
yes
176
2
no
551
Sysmiss
15558
Why was this crime not reported to the police?
551
15734
1
6
1
CRIME NOT SERIOUS
152
2
POLICE TOO FAR
85
3
POLICE CORRUPT
28
4
REPORTING WOULD CAUSE TROUBLE
59
5
NEIGHBORHOOD ISSUE, DID NOT WANT POLICE INVOLVED
77
6
OTHER, SPECIFY
150
Sysmiss
15734
Case Section Roster / Line Occurrence Sequence for O/S Merge
3352
0
1
1
1
3352
Unique Household Identification NPS Y4
3352
0
In the past 7 days, did you worry that your household would not have enough food
3352
0
1
2
1
yes
1083
2
no
2269
2A Rely on less preferred foods?
3351
1
0
7
0
2426
1
81
2
262
3
236
4
103
5
33
6
25
7
185
Sysmiss
1
2B Limit the variety of foods eaten?
3351
1
0
7
0
2856
1
69
2
125
3
72
4
48
5
26
6
11
7
144
Sysmiss
1
2C Limit portion size at meal-times?
3352
0
0
7
0
2908
1
88
2
145
3
105
4
39
5
16
6
10
7
41
2D Reduce number of meals eaten in a day?
3352
0
0
7
0
2684
1
91
2
167
3
115
4
74
5
28
6
20
7
173
2E Restrict consumption by adults for small children to eat?
3352
0
0
7
0
3129
1
62
2
83
3
34
4
19
5
6
6
2
7
17
2F Borrow food, or rely on help from a friend or relative?
3352
0
0
7
0
2998
1
124
2
113
3
43
4
27
5
12
6
4
7
31
2G Have no food of any kind in your household?
3352
0
0
7
0
3160
1
67
2
69
3
27
4
12
5
3
6
2
7
12
2H Go a whole day and night without eating anything?
3351
1
0
5
0
3244
1
46
2
50
3
7
4
3
5
1
Sysmiss
1
How many meals, including breakfast are taken per day in your household? A ADULT
3352
0
0
7
0
2
1
15
2
928
3
2398
4
8
7
1
How many meals, including breakfast are taken per day in your household? CHILDRE
1748
1604
0
21
What did your children below 5 years old (0-4 years) have for breakfast yesterda
3283
69
0
12
0
NO CHILDREN UNDER AGE 5
1452
1
TEA/DRINK WITH SUGAR
130
2
MILK/MILK TEA WITH SUGAR
52
3
SOLID FOOD ONLY
206
4
TEA/DRINK WITH SOLID FOOD
464
5
PORRIDGE WITH GROUNDNUT FLOUR
57
6
PORRIDGE WITH SOLID FOOD
109
7
PORRIDGE WITH SUGAR
314
8
PORRIDGE WITH MILK
47
9
PORRIDGE WITHOUT SUGAR
208
10
breastmilk
148
11
nothing
61
12
OTHER (SPECIFY)
35
Sysmiss
69
What did your children between 5 to 13 years old have for breakfast yesterday
3285
67
0
12
0
NO CHILDREN BETWEEN 5 AND 13
1312
1
TEA/DRINK WITH SUGAR
212
2
MILK/MILK TEA WITH SUGAR
30
3
SOLID FOOD ONLY
297
4
TEA/DRINK WITH SOLID FOOD
677
5
PORRIDGE WITH GROUNDNUT FLOUR
11
6
PORRIDGE WITH SOLID FOOD
88
7
PORRIDGE WITH SUGAR
176
8
PORRIDGE WITH MILK
20
9
PORRIDGE WITHOUT SUGAR
185
10
breastmilk
1
11
nothing
235
12
OTHER (SPECIFY)
41
Sysmiss
67
Do all household members eat roughly the same diet?
3352
0
1
2
1
yes
3131
2
no
221
Who in the household usually eats a more diverse variety of foods, a less divers
175
3177
0
2
0
none
5
1
MORE DIVERSE
21
2
LESS DIVERSE
149
9
NOT APPLICABLE
0
Sysmiss
3177
Who in the household usually eats a more diverse variety of foods, a less divers
179
3173
0
2
0
none
2
1
MORE DIVERSE
25
2
LESS DIVERSE
152
9
NOT APPLICABLE
0
Sysmiss
3173
Who in the household usually eats a more diverse variety of foods, a less divers
212
3140
0
2
0
none
16
1
MORE DIVERSE
168
2
LESS DIVERSE
28
9
NOT APPLICABLE
0
Sysmiss
3140
In the last 12 months, have you been faced with a situation when you did not hav
3350
2
1
2
1
yes
1232
2
no
2118
Sysmiss
2
When did you experience this incident ? - 2013 (Jan)
0
0
When did you experience this incident ? - 2013 (Feb)
0
0
When did you experience this incident ? - 2013 (Mar)
0
0
When did you experience this incident ? - 2013 (Apr)
0
0
When did you experience this incident ? - 2013 (May)
0
0
When did you experience this incident ? - 2013 (Jun)
0
0
When did you experience this incident ? - 2013 (Jul)
0
0
When did you experience this incident ? - 2013 (Aug)
0
0
When did you experience this incident ? - 2013 (Sep)
0
0
When did you experience this incident ? - 2013 (Oct)
26
0
X
26
When did you experience this incident ? - 2013 (Nov)
54
0
X
54
When did you experience this incident ? - 2013 (Dec)
71
0
X
71
When did you experience this incident ? - 2014 (Jan)
163
0
X
163
When did you experience this incident ? - 2014 (Feb)
217
0
X
217
When did you experience this incident ? - 2014 (Mar)
197
0
X
197
When did you experience this incident ? - 2014 (Apr)
180
0
X
180
When did you experience this incident ? - 2014 (May)
155
0
X
155
When did you experience this incident ? - 2014 (Jun)
166
0
X
166
When did you experience this incident ? - 2014 (Jul)
184
0
X
184
When did you experience this incident ? - 2014 (Aug)
216
0
X
216
When did you experience this incident ? - 2014 (Sep)
259
0
X
259
When did you experience this incident ? - 2014 (Oct)
282
0
X
282
When did you experience this incident ? - 2014 (Nov)
343
0
X
343
When did you experience this incident ? - 2014 (Dec)
409
0
X
409
When did you experience this incident ? - 2015 (Jan)
411
0
X
411
When did you experience this incident ? - 2015 (Feb)
361
0
X
361
When did you experience this incident ? - 2015 (Mar)
276
0
X
276
When did you experience this incident ? - 2015 (Apr)
156
0
X
156
When did you experience this incident ? - 2015 (May)
83
0
X
83
When did you experience this incident ? - 2015 (Jun)
51
0
X
51
When did you experience this incident ? - 2015 (Jul)
19
0
X
19
When did you experience this incident ? - 2015 (Aug)
7
0
X
7
When did you experience this incident ? - 2015 (Sep)
2
0
X
2
When did you experience this incident ? - 2015 (Oct)
2
0
X
2
When did you experience this incident ? - 2015 (Nov)
3
0
X
3
When did you experience this incident ? - 2015 (Dec)
3
0
X
3
What was the cause of this situation? 1ST
1233
2119
1
10
1
INADEQUATE HOUSEHOLD STOCKS DUE TO DROUGHT/POOR RAINS
349
2
INADEQUATE HOUSEHOLD FOOD STOCKS DUE TO CROP PEST DAMAGE
25
3
INADEQUATE HOUSEHOLD FOOD STOCKS DUE TO SMALL LAND SIZE
101
4
INADEQUATE HOUSEHOLD FOOD STOCKS DUE TO LACK OF FARM INPUTS
109
5
FOOD IN THE MARKET WAS VERY EXPENSIVE
94
6
UNABLE TO REACH THE MARKET DUE TO HIGH TRANSPORTATION COSTS
6
7
NO FOOD IN THE MARKET
7
8
FLOODS/WATER LOGGING/HAILSTORM
20
9
NO MONEY
439
10
OTHER (SPECIFY)
83
Sysmiss
2119
What was the cause of this situation? 2ND
469
2883
1
10
1
INADEQUATE HOUSEHOLD STOCKS DUE TO DROUGHT/POOR RAINS
26
2
INADEQUATE HOUSEHOLD FOOD STOCKS DUE TO CROP PEST DAMAGE
9
3
INADEQUATE HOUSEHOLD FOOD STOCKS DUE TO SMALL LAND SIZE
36
4
INADEQUATE HOUSEHOLD FOOD STOCKS DUE TO LACK OF FARM INPUTS
47
5
FOOD IN THE MARKET WAS VERY EXPENSIVE
55
6
UNABLE TO REACH THE MARKET DUE TO HIGH TRANSPORTATION COSTS
2
7
NO FOOD IN THE MARKET
6
8
FLOODS/WATER LOGGING/HAILSTORM
3
9
NO MONEY
241
10
OTHER (SPECIFY)
44
Sysmiss
2883
What was the cause of this situation? 3RD
60
3292
1
10
1
INADEQUATE HOUSEHOLD STOCKS DUE TO DROUGHT/POOR RAINS
4
2
INADEQUATE HOUSEHOLD FOOD STOCKS DUE TO CROP PEST DAMAGE
2
3
INADEQUATE HOUSEHOLD FOOD STOCKS DUE TO SMALL LAND SIZE
2
4
INADEQUATE HOUSEHOLD FOOD STOCKS DUE TO LACK OF FARM INPUTS
5
5
FOOD IN THE MARKET WAS VERY EXPENSIVE
4
6
UNABLE TO REACH THE MARKET DUE TO HIGH TRANSPORTATION COSTS
0
7
NO FOOD IN THE MARKET
2
8
FLOODS/WATER LOGGING/HAILSTORM
1
9
NO MONEY
30
10
OTHER (SPECIFY)
10
Sysmiss
3292
Case Section Roster / Line Occurrence Sequence for O/S Merge
3352
0
1
1
1
3352
Unique Household Identification NPS Y4
3352
0
What is HH tenure status of main residence?
3352
0
1
6
1
OWNER OCCUPIED
2258
2
EMPLOYER PROVIDED - SUBSIDIZED
7
3
EMPLOYER PROVIDED - FREE
44
4
rented
732
5
free
310
6
nomads
1
Do you have any documentation of ownership of the dwelling?
2258
1094
1
10
1
OFFER OF THE RIGHT OF OCCUPANCY
85
2
TITLE DEED FOR LAND
68
3
LETTER OR ALLOCATION FROM VILLAGE GOV'T
71
4
SETTLEMENT PERMIT
50
5
TRADITIONAL RIGHT OF OCCUPANCY
12
6
LAND SALE AGREEMENT
202
7
INHERITANCE LETTER
34
8
OTHER TITLE (SPECIFY)
1
9
LEASE (FOR RENTERS)
0
10
NO DOCUMENTATION AT ALL
1735
Sysmiss
1094
How much does this household pay per month to rent this dwelling?
739
2613
0
944000
Estimate the rent per month you could receive if you rented this dwelling?
2611
741
0
2600000
In the past year, how much have you paid on repairs to your dwelling?
3351
1
0
6000000
In the past year, how much have you paid in improvements to you home (excluding
3351
1
0
10000000
How many habitable rooms in each unit does this household occupy? MAIN
3352
0
0
19
0
1
1
629
2
1029
3
971
4
409
5
186
6
83
7
29
8
8
9
3
10
2
13
1
19
1
How many habitable rooms in each unit does this household occupy? OTHER
1500
1852
0
16
0
639
1
250
2
321
3
160
4
67
5
28
6
20
7
4
8
6
9
2
10
1
12
1
16
1
Sysmiss
1852
The walls of the main dwelling are predominantly made of what materials?
3352
0
1
7
1
POLES (INCLUDING BAMBOO), BRANCHES, GRASS
126
2
POLES AND MUD/MUD AND STONES
603
3
MUD ONLY
71
4
MUD BRICKS
731
5
BAKED/BURNT BRICKS
656
6
CONCRETE, CEMENT, STONES
1144
7
OTHER (SPECIFY)
21
8
NO CHILDREN
0
The roof of the main dwelling is predominantly made of what materials?
3352
0
1
7
1
GRASS, LEAVES, BAMBOO
688
2
MUD AND GRASS
89
3
CONCRETE, CEMENT
27
4
METAL SHEETS (GCI)
2530
5
ASBESTOS SHEETS
8
6
tiles
1
7
OTHER (SPECIFY)
9
The floor of the main dwelling is predominantly made of what materials?
3352
0
1
3
1
earth
1626
2
CONCRETE,CEMENT,TILES,TIMBER
1724
3
OTHER (SPECIFY)
2
How does the household dispose of its garbage?
3352
0
1
6
1
COLLECTED BY GOVERNMENT
148
2
COLLECTED BY PRIVATE FIRM
236
3
GOVERNMENT BIN
66
4
DISPOSAL WITHIN COMPOUND
2072
5
NONE OR UNAUTHORISED HEAP
634
6
OTHER (SPECIFY)
196
What is the main toilet facilities usually used in this household?
3352
0
1
9
1
NO TOILET
429
2
OPEN PIT WITHOUT SLAB
1162
3
PIT LATRINE WITH SLAB (NOT WASHABLE)
410
4
PIT LATRINE WITH SLAB (WASHABLE)
448
5
vip
84
6
POUR FLUSH
131
7
FLUSH TOILET
686
8
ecosan
1
9
OTHER (SPECIFY)
1
Do you share this toilet facility with other households?
2923
429
1
2
1
yes
1034
2
no
1889
Sysmiss
429
How many other households share this facility?
1034
2318
1
26
The last time the youngest child in the household passed stools, what was done t
3352
0
1
10
1
CHILD USED TOILET OR LATRINE
508
2
PUT/RINSED INTO TOILET OR LATRINE
1084
3
PUT/RINSED INTO DRAIN/DITCH
10
4
THROWN INTO GARBAGE
132
5
buried
127
6
LEFT IN OPEN
55
7
OTHER (SPECIFY)
49
8
NO CHILDREN
1312
9
WASHABLE DIAPERS
54
10
DISPOSABLE DIAPERS
21
Major fuel used for cooking?
3352
0
1
8
1
firewood
2041
2
paraffin
93
3
electricity
13
4
gas
99
5
charcoal
1073
6
ANIMAL RESIDUAL
0
7
GAS (BIOGAS)
0
8
OTHER (SPECIFY)
33
Major fuel used for lighting?
3352
0
1
10
1
electricity
977
2
solar
305
3
gas
0
4
GAS(BIOGAS)
0
5
LAMP OIL
928
6
candle
35
7
firewood
22
8
PRIVATE GENERATOR
5
9
torch
1032
10
OTHER (SPECIFY)
48
What is the household's main source of electricity?
1287
2065
1
7
1
tanesco
972
2
COMMUNITY GENERATOR
5
3
SOLAR PANELS
301
4
OWN GENERATOR
4
5
CAR BATTERY
2
6
MOTORCYCLE BATTERY
1
7
OTHER (SPECIFY)
2
Sysmiss
2065
What is the household's main source of drinking water in the rainy season?
3352
0
1
12
1
PIPED WATER
1205
2
TUBEWELL / BOREHOLE
236
3
PROTECTED DUG WELL
201
4
UNPROTECTED DUGWELL
360
5
PROTECTED SPRING
49
6
UNPROTECTED SPRING
86
7
RAINWATER COLLECTION
673
8
BOTTLED WATER
48
9
CART WITH SMALL TANK/DRUM
54
10
TANKER-TRUCK
54
11
SURFACE WATER (RIVER, DAM, LAKE, POND, STREAM, CANAL, IRRIGATION CHANNELS)
376
12
OTHER, SPECIFY
10
Where is that water source located?
3351
1
1
4
1
IN OWN DWELLING
313
2
IN OWN YARD/PLOT
823
3
IN NEIGHBOR'S COMPOUND
947
4
elsewhere
1268
Sysmiss
1
Who usually fetches water for your household in the rainy season?
2216
1136
0
99
How long does it take [NAME] to get water from drinking water source to this dwe
2216
1136
0
280
Out of these [READ] minutes, how long does [NAME] spend waiting?
2216
1136
0
220
Measures to make it safer to drink in rainy season? (#1)
3352
0
1
7
1
none
2215
2
boil
819
3
ADD BLEACH/CHLORINE
23
4
USE A WATER FILTER
228
5
SOLAR DISINFECTION
0
6
LET IT STAND AND SETTLE
64
7
OTHER, SPECIFY
3
Measures to make it safer to drink in rainy season? (#2)
137
3215
1
6
1
none
2
2
boil
7
3
ADD BLEACH/CHLORINE
4
4
USE A WATER FILTER
99
5
SOLAR DISINFECTION
0
6
LET IT STAND AND SETTLE
25
7
OTHER, SPECIFY
0
Sysmiss
3215
What is the main source of water used by your household for other purposes, such
3352
0
1
12
1
PIPED WATER
1153
2
TUBEWELL/BOREHOLE
227
3
PROTECTED DUG WELL
287
4
UNPROTECTED DUGWELL
458
5
PROTECTED SPRING
52
6
UNPROTECTED SPRING
97
7
RAINWATER COLLECTION
498
8
BOTTLED WATER
3
9
CART WITH SMALL TANK/DRUM
28
10
TANKER-TRUCK
34
11
SURFACE WATER (RIVER, DAM, LAKE, POND, STREAM, CANAL, IRRIGATION CHANNELS)
510
12
OTHER, SPECIFY
5
How much on average does your household spend on all water used in the household
3352
0
0
50000
During the dry season, is the main source of drinking water for members of your
3352
0
1
2
1
yes
2459
2
no
893
What is the main reason you change sources of drinking water in the dry season?
893
2459
1
6
1
cost
8
2
availability
745
3
convenience
132
4
SAFETY IN COLLECTING THE WATER
1
5
SAFETY OF CONSUMING THE WATER
6
6
OTHER, SPECIFY
1
Sysmiss
2459
What is the household's main source of drinking water in the dry season?
893
2459
1
12
1
PIPED WATER
170
2
TUBEWELL / BOREHOLE
94
3
PROTECTED DUG WELL
79
4
UNPROTECTED DUGWELL
200
5
PROTECTED SPRING
32
6
UNPROTECTED SPRING
68
7
RAINWATER COLLECTION
3
8
BOTTLED WATER
3
9
CART WITH SMALL TANK/DRUM
42
10
TANKER-TRUCK
19
11
SURFACE WATER (RIVER, DAM, LAKE, POND, STREAM, CANAL, IRRIGATION CHANNELS)
175
12
OTHER, SPECIFY
8
Sysmiss
2459
Where is that water source located?
890
2462
1
4
1
IN OWN DWELLING
5
2
IN OWN YARD / PLOT
47
3
IN NEIGHBOR'S COMPOUND
195
4
elsewhere
643
Sysmiss
2462
Who usually fetches water for your household in the rainy season?
838
2514
0
99
How long does it take [NAME] to get water from drinking water source to this dwe
838
2514
0
640
Out of these [READ] minutes, how long does [NAME] spend waiting?
838
2514
0
600
Measures to make it safer to drink in dry season? (#1)
893
2459
1
7
1
none
553
2
boil
217
3
ADD BLEACH / CHLORINE
8
4
USE A WATER FILTER
93
5
SOLAR DISINFECTION
0
6
LET IT STAND AND SETTLE
21
7
OTHER, SPECIFY
1
Sysmiss
2459
Measures to make it safer to drink in dry season? (#2)
65
3287
2
7
1
none
0
2
boil
5
3
ADD BLEACH / CHLORINE
2
4
USE A WATER FILTER
47
5
SOLAR DISINFECTION
0
6
LET IT STAND AND SETTLE
10
7
OTHER, SPECIFY
1
Sysmiss
3287
What is the main source of water used by your household for other purposes, such
893
2459
1
12
1
PIPED WATER
140
2
TUBEWELL / BOREHOLE
90
3
PROTECTED DUG WELL
96
4
UNPROTECTED DUGWELL
210
5
PROTECTED SPRING
25
6
UNPROTECTED SPRING
68
7
RAINWATER COLLECTION
7
8
BOTTLED WATER
0
9
CART WITH SMALL TANK/DRUM
29
10
TANKER-TRUCK
12
11
SURFACE WATER (RIVER, DAM, LAKE, POND, STREAM, CANAL, IRRIGATION CHANNELS)
211
12
OTHER, SPECIFY
5
Sysmiss
2459
How much on average does your household spend on all water used in the household
893
2459
0
70000
Case Section Roster / Line Occurrence Sequence for O/S Merge
201120
0
2
73
Unique Household Identification NPS Y4
201120
0
Item codes
201120
0
101
1108
101
RICE (PADDY)
3352
102
RICE (HUSKED)
3352
103
MAIZE (GREEN, COB)
3352
104
MAIZE (GRAIN)
3352
105
MAIZE (FLOUR)
3352
106
MILLET AND SORGHUM (GRAIN)
3352
107
MILLET AND SORGHUM (FLOUR)
3352
109
bread
3352
110
BUNS, CAKES AND BISCUITS
3352
111
MACARONI, SPAGHETTI
3352
112
OTHER CEREAL PRODUCTS
3352
201
CASSAVA FRESH
3352
202
CASSAVA DRY/FLOUR
3352
203
SWEET POTATOES
3352
204
YAMS/COCOYAMS
3352
205
IRISH POTATOES
3352
206
COOKING BANANAS, PLANTAINS
3352
207
OTHER STARCHES
3352
301
sugar
3352
302
sweets
3352
303
HONEY, SYRUPS, JAMS, MARMALADE, JELLIES, CANNED FRUITS
3352
401
PEAS, BEANS, LENTILS AND OTHER PULSES
3352
501
GROUNDNUTS IN SHELL/SHELLED
3352
502
COCONUTS (MATURE/IMMATURE)
3352
503
CASHEW, ALMONDS AND OTHER NUTS
3352
504
SEEDS AND PRODUCTS FROM NUTS/SEEDS (EXCL. COOKING OIL)
3352
601
ONIONS, TOMATOES, CARROTS AND GREEN PEPPER, OTHER VIUNGO
3352
602
SPINACH, CABBAGE AND OTHER GREEN VEGETABLES
3352
603
CANNED, DRIED AND WILD VEGETABLES
3352
701
RIPE BANANAS
3352
702
CITRUS FRUITS (ORANGES, LEMON, TANGERINES, ETC.)
3352
703
MANGOES, AVOCADOES AND OTHER FRUITS
3352
704
sugarcane
3352
801
GOAT MEAT
3352
802
BEEF INCLUDING MINCED SAUSAGE
3352
803
PORK INCLUDING SAUSAGES AND BACON
3352
804
CHICKEN AND OTHER POULTRY
3352
805
WILD BIRDS AND INSECTS
3352
806
OTHER DOMESTIC/WILD MEAT PRODUCTS
3352
807
eggs
3352
808
FRESH FISH AND SEAFOOD (INCLUDING DAGAA)
3352
809
DRIED/SALTED/CANNED FISH AND SEAFOOD (INCL. DAGAA)
3352
810
PACKAGE FISH
3352
901
FRESH MILK
3352
902
MILK PRODUCTS (LIKE CREAM, CHEESE, YOGHURT ETC)
3352
903
CANNED MILK/MILK POWDER
3352
1001
COOKING OIL
3352
1002
BUTTER, MARGARINE, GHEE AND OTHER FAT PRODUCTS
3352
1003
salt
3352
1004
OTHER SPICES
3352
1081
WHEAT FLOUR
3352
1082
WHEAT, BARLEY GRAIN AND OTHER CEREALS
3352
1101
TEA DRY
3352
1102
COFFEE AND COCOA
3352
1103
OTHER RAW MATERIALS FOR DRINKS
3352
1104
BOTTLED/CANNED SOFT DRINKS (SODA, JUICE, WATER)
3352
1105
PREPARED TEA, COFFEE
3352
1106
BOTTLED BEER
3352
1107
LOCAL BREWS
3352
1108
WINE AND SPIRITS
3352
Within the past 7 days, did the members of this household eat/drink any [. . .]
201120
0
1
2
1
yes
47902
2
no
153218
How much in total did your household consume in the past 7 days? UNIT
47904
153216
1
7
1
kilograms
12710
2
grams
29465
3
litre
1535
4
millilitre
3538
5
pieces
655
7
1
Sysmiss
153216
How much in total did your household consume in the past 7 days? QUANTITY
47902
153218
0
38500
How much came from purchases during the past 7 days? UNIT
38542
162578
1
5
1
kilograms
8711
2
grams
24932
3
litre
1107
4
millilitre
3372
5
pieces
420
Sysmiss
162578
How much came from purchases during the past 7 days? QUANTITY
47910
153210
0
30500
How much did you spend?
38539
162581
0
90000
Where did you purchase the [ITEM]?
8486
192634
0
8
0
3
1
283
2
130
3
107
4
153
5
4663
6
952
7
2100
8
95
Sysmiss
192634
How much came from own-production? UNIT
6776
194344
1
5
1
kilograms
3141
2
grams
2989
3
litre
330
4
millilitre
106
5
pieces
210
Sysmiss
194344
How much came from own-production? QUANTITY
47912
153208
0
38500
How much came from gifts and other sources? UNIT
2878
198242
1
5
1
kilograms
930
2
grams
1753
3
litre
101
4
millilitre
67
5
pieces
27
Sysmiss
198242
How much came from gifts and other sources? QUANTITY
47912
153208
0
32000
Case Section Roster / Line Occurrence Sequence for O/S Merge
33511
0
1
10
1
3352
2
3351
3
3351
4
3351
5
3351
6
3351
7
3351
8
3351
9
3351
10
3351
Unique Household Identification NPS Y4
33511
0
Item code
33510
1
1
10
1
A. CEREALS, GRAINS AND CEREAL PRODUCTS
3351
2
B. ROOTS, TUBERS, AND PLANTAINS
3351
3
C. NUTS AND PULSES
3351
4
D. VEGETABLES
3351
5
E. MEAT, FISH AND ANIMAL PRODUCTS
3351
6
F. FRUITS
3351
7
G. MILK/MILK PRODUCTS
3351
8
H. FATS/OIL
3351
9
I. SUGAR/SUGAR PRODUCTS/HONEY
3351
10
J. SPICES/CONDIMENTS
3351
Sysmiss
1
Number of days
33509
2
0
7
0
6744
1
1619
2
2379
3
1996
4
1750
5
1149
6
743
7
17129
Sysmiss
2
Case Section Roster / Line Occurrence Sequence for O/S Merge
13405
0
1
4
1
3352
2
3351
3
3351
4
3351
Unique Household Identification NPS Y4
13405
0
SECTION K AGE GROUP
13404
1
1
4
1
A. CHILDREN 0-5 YEARS
3351
2
B. CHILDREN 6-15 YEARS
3351
3
C. ADULTS 16-65 YEARS
3351
4
D. PEOPLE OVER 65 YEARS OLD
3351
Sysmiss
1
How may [...] were meals shared with over the past 7 days?
5624
7781
0
42
What was the total number of meals that were shared over the past 7 days?
5624
7781
0
42
Case Section Roster / Line Occurrence Sequence for O/S Merge
87152
0
1
26
Unique Household Identification NPS Y4
87152
0
Item Code
87152
0
101
223
101
CIGARETTES OR TOBACCO
3352
102
matches
3352
103
PUBLIC TRANSPORT
3352
201
kerosene
3352
202
ELECTRICITY, INCLUDING ELECTRICITY VOUCHERS
3352
203
GAS (FOR LIGHTING/COOKING)
3352
204
water
3352
205
PETROL OR DIESEL
3352
206
CELL PHONE VOUCHER
3352
207
charcoal
3352
208
MILLING FEES, GRAIN
3352
209
BAR SOAP (BODY SOAP OR CLOTHES SOAP)
3352
210
CLOTHES SOAP (POWDER)
3352
211
TOOTHPASTE, TOOTHBRUSH
3352
212
TOILET PAPER
3352
213
GLYCERINE, VASELINE, SKIN CREAMS
3352
214
OTHER PERSONAL PRODUCTS (SHAMPOO, RAZORBLADES, COSMETICS, HAIR PRODUCTS, ETC.)
3352
215
HOUSEHOLD CLEANING PRODUCTS (DISH SOAP, TOILET CLEANSERS, ETC.)
3352
216
LIGHT BULBS
3352
217
PHONE, INTERNET, POSTAGE STAMPS OR OTHER POSTAL FEES
3352
218
DONATION - TO CHURCH, CHARITY, BEGGAR, ETC.
3352
219
MOTOR VEHICLE SERVICE, REPAIR, OR PARTS
3352
220
BICYCLE SERVICE, REPAIR, OR PARTS
3352
221
WAGES PAID TO SERVANTS
3352
222
MORTGAGE - REGULAR PAYMENT TO PURCHASE HOUSE
3352
223
REPAIRS TO HOUSEHOLD AND PERSONAL ITEMS(RADIOS, WATCHES, ETC.)
3352
Over the past 7 days, did you
87126
26
1
2
1
yes
30431
2
no
56695
Sysmiss
26
How much did you pay in total?
30429
56723
0
20000000
Case Section Roster / Line Occurrence Sequence for O/S Merge
87152
0
1
26
Unique Household Identification NPS Y4
87152
0
Item Code
87152
0
301
326
301
CARPET, RUGS, DRAPES, CURTAINS
3352
302
LINEN - TOWELS, SHEETS, BLANKETS
3352
303
MAT - SLEEPING OR FOR DRYING MAIZE FLOUR
3352
304
MOSQUITO NET
3352
305
mattress
3352
306
SPORTS & HOBBY EQUIPMENT, MUSICAL INSTRUMENTS, TOYS
3352
307
FILM, FILM PROCESSING, CAMERA
3352
308
BUILDING ITEMS - CEMENT, BRICKS, TIMBER, IRON SHEETS, TOOLS, ETC.
3352
309
COUNCIL RATES
3352
310
INSURANCE - HEALTH (MASM, ETC.), AUTO, HOME, LIFE
3352
311
LOSSES TO THEFT (VALUE OF ITEMS OR CASH LOST)
3352
312
FINES OR LEGAL FEES
3352
313
BRIDE PRICE /MARRIAGE COSTS
3352
314
FUNERAL COSTS
3352
315
OTHER COSTS NOT STATED ELSEWHERE
3352
316
REPAIRS TO CONSUMER DURABLES
3352
317
TAXES FOR INCOME, PROPERTY, ETC.
3352
318
REPAIRS & MAINTENANCE TO DWELLING
3352
319
GARMENTS FOR MEN
3352
320
GARMENTS FOR WOMEN
3352
321
GARMENTS FOR CHILDREN & BABIES
3352
322
FOOTWEAR FOR MEN
3352
323
FOOTWEAR FOR WOMEN
3352
324
FOOTWEAR FOR CHILDREN AND BABIES
3352
325
WOOD POLES, BAMBOO
3352
326
GRASS FOR THATCHING ROOF OR OTHER USE
3352
Over the past 12 months did you gather, purchase, or pay for any [...]?
87125
27
1
2
1
yes
24380
2
no
62745
Sysmiss
27
What was the estimated total value of
24379
62773
0
50000000
What was the cost of that which you purchased?
1724
85428
0
960000
Case Section Roster / Line Occurrence Sequence for O/S Merge
177656
0
1
53
Unique Household Identification NPS Y4
177656
0
Item Code
177656
0
401
453
401
RADIO AND RADIO CASSETTE
3352
402
TELEPHONE(LANDLINE)
3352
403
TELEPHONE(MOBILE)
3352
404
REFRIDGERATOR OR FREEZER
3352
405
SEWING MACHINE
3352
406
television
3352
407
VIDEO / DVD
3352
408
chairs
3352
409
sofas
3352
410
tables
3352
411
watches
3352
412
beds
3352
413
CUPBOARDS, CHEST-OF-DRAWERS, BOXES, WARDROBES,BOOKCASES
3352
414
lanterns
3352
415
computer
3352
416
COOKING POTS, CUPS, OTHER KITCHEN UTENCILS
3352
417
MOSQUITO NET
3352
418
IRON (CHARCOAL OR ELECTRIC)
3352
419
ELECTRIC/GAS STOVE
3352
420
OTHER STOVE
3352
421
WATER-HEATER
3352
422
RECORD/CASSETTE PLAYER, TAPE RECORDER
3352
423
COMPLETE MUSIC SYSTEM
3352
424
BOOKS (NOT SCHOOL BOOKS)
3352
425
MOTOR VEHICLES
3352
426
motorcycle
3352
427
bicycle
3352
428
carts
3352
429
ANIMAL-DRAWN CART
3352
430
BOAT/CANOE
3352
431
WHEEL BARROW
3352
432
livestock
3352
433
poultry
3352
434
OUTBOARD ENGINE
3352
435
donkeys
3352
436
FIELDS/LAND
3352
437
HOUSE(S)
3352
438
FAN/AIRCONDITIONER
3352
439
DISH ANTENA/DECODER
3352
440
hoes
3352
441
SPRAYING MACHINE
3352
442
WATER PUMPING SET
3352
443
reapers
3352
444
tractor
3352
445
TRAILER FOR TRACTORS ETC.
3352
446
PLOUGH ETC.
3352
447
harrow
3352
448
MILKING MACHINE
3352
449
HARVESTING AND THRESHING MACHINE
3352
450
HAND MILLING MACHINE
3352
451
COFFEE PULPING MACHINE
3352
452
FERTILIZER DISTRIBUTOR
3352
453
POWER TILLER
3352
How many [ITEMS] does your household own?
177603
53
0
1500
What is the age of this [ITEM]?
28716
148940
0
80
At what price did you purchase [ITEM]?
28718
148938
0
1000000000
If you wanted to sell one of this [ITEM] today, how much would you receive?
28717
148939
0
1800000000
Case Section Roster / Line Occurrence Sequence for O/S Merge
3823
0
1
5
1
3352
2
386
3
72
4
10
5
3
Unique Household Identification NPS Y4
3823
0
Enterprise ID
2106
1717
1
5
1
1635
2
386
3
72
4
10
5
3
Sysmiss
1717
Please provide details on the main products or services of each [ENTERPRISE] tha
2106
0
ANACHIMBA NA KUUZA MADINI
1
ANANUA NDIZI NA KUUZA
1
ANANUNUA NA KUUZA MKAA
2
ANANUNUA NA KUUZA NDIZI
2
ANANUNUA NA KUUZA NGUO
1
ANANUNUA NA KUUZA POMBE YA KIENYEJI
1
ANANUNUA NA KUUZA VITENGE
1
ANANUNUA NA KUUZA VYUNGU
1
ANAPIKA NA KUUZA MAANDAZI
1
ANAPIKA NA KUUZA POMBE YA KIENYEJI
1
ANASUKA NYWELE
1
ANATENGENEZA UNGO NA KUUZA
1
ANAUZA GENGE
1
ANAUZA POMBE ZA KIENYEJI
1
BASHARA YA DUKA LA VYAKULA
1
BEKARI YA MIKATE
1
BIAHARA YA DUKA
1
BIAHARA YA MKAA
1
BIASHARA
1
BIASHARA BODABODA
3
BIASHARA CHIPS
1
BIASHARA DUKA
3
BIASHARA GENGE
1
BIASHARA GROCERY
1
BIASHARA KAROTI
1
BIASHARA KUNI
1
BIASHARA KUUZA MCHELE
1
BIASHARA KUUZA SAMBUSA
1
BIASHARA MAANDAZI
1
BIASHARA MATUNDA
1
BIASHARA MBOGA MBOGA
1
BIASHARA MBOGAMBOGA
1
BIASHARA MWANI
1
BIASHARA NDOGONDOGO
6
BIASHARA NGUO MITUMBA
1
BIASHARA PIKIPIKI & NGUO
1
BIASHARA REJA REJA
1
BIASHARA SAMAKI
1
BIASHARA USED
1
BIASHARA VINYWAJI (BIA)
1
BIASHARA YA JUICE
1
BIASHARA YA ASALI
1
BIASHARA YA BAGIA
3
BIASHARA YA BODABODA
10
BIASHARA YA BUCHA
2
BIASHARA YA CHAKULA
8
BIASHARA YA CHAPATI
6
BIASHARA YA CHIPS
2
BIASHARA YA DAGAA
7
BIASHARA YA DAWA
2
BIASHARA YA DAWA ZA KIENYEJI
1
BIASHARA YA DAWA ZA MIKOROSHO
1
BIASHARA YA DHAHABU
1
BIASHARA YA DUKA
37
BIASHARA YA DUKA BIDHAA NDOGONDOGO
1
BIASHARA YA DUKA DOGO LA DAWA
1
BIASHARA YA DUKA LA REJAREJA
1
BIASHARA YA DUKA REJAREJA
1
BIASHARA YA GENGE
30
BIASHARA YA GENGE SOKONI
1
BIASHARA YA GROCERY
1
BIASHARA YA JUICE
3
BIASHARA YA JUISI
1
BIASHARA YA KANGA
1
BIASHARA YA KEKI
1
BIASHARA YA KIBANDA
1
BIASHARA YA KIOSK
1
BIASHARA YA KIOSKI
1
BIASHARA YA KIOSKY
1
BIASHARA YA KUKU
3
BIASHARA YA KUNAKILI
1
BIASHARA YA KUNI
4
BIASHARA YA KUNI NA MKAA
1
BIASHARA YA KUNUNUA NA KUUZA NDIZI
1
BIASHARA YA KUPAKA RANGI
1
BIASHARA YA KUPELEKA HOTEL
1
BIASHARA YA KUSAFIRISHA ABIRIA
1
BIASHARA YA KUSHONA NGUO
1
BIASHARA YA KUSUKA
1
BIASHARA YA KUUZA BARAFU
1
BIASHARA YA KUUZA BARAFU NA MAJI
1
BIASHARA YA KUUZA MAGARI
1
BIASHARA YA KUUZA MAHINDI
1
BIASHARA YA KUUZA MAJI
2
BIASHARA YA KUUZA MAWE
1
BIASHARA YA KUUZA MIKEKA
1
BIASHARA YA KUUZA NGUO
1
BIASHARA YA KUUZA NGUO REJAREJA
1
BIASHARA YA KUUZA NGUO ZA MITUMBA
1
BIASHARA YA KUUZA NYANYA
1
BIASHARA YA KUUZA SPEA ZA MAGARI
1
BIASHARA YA KUUZA VINYWAJI
1
BIASHARA YA M-PESA
1
BIASHARA YA MAANDAZI
8
BIASHARA YA MAANDAZI CHAPATI
1
BIASHARA YA MADINI
1
BIASHARA YA MADIRISHA NA MILANGO
1
BIASHARA YA MAHINDI
3
BIASHARA YA MAHINDI MABICHI
1
BIASHARA YA MAJI
4
BIASHARA YA MAKAWA
1
BIASHARA YA MAKUTI
2
BIASHARA YA MAMA LISHE
3
BIASHARA YA MAMALISHE
2
BIASHARA YA MASHINE
1
BIASHARA YA MASHINE YA KUSAGA
1
BIASHARA YA MASHUKA
1
BIASHARA YA MATENGA
1
BIASHARA YA MATUNDA
8
BIASHARA YA MATUNDA SOKONI
1
BIASHARA YA MAZAO
5
BIASHARA YA MAZAO GENGENI
1
BIASHARA YA MAZIWA
1
BIASHARA YA MBAO
4
BIASHARA YA MBATATA
1
BIASHARA YA MBEGE
1
BIASHARA YA MBOGA
1
BIASHARA YA MBOGA MBOGA
1
BIASHARA YA MBOGA NA MATUNDA
1
BIASHARA YA MBOGAMBOGA
6
BIASHARA YA MCHANGA
1
BIASHARA YA MCHELE
1
BIASHARA YA MCHELE NA NGANO
1
BIASHARA YA MGAHAWA
9
BIASHARA YA MGAHAWA WA CHAKULA
1
BIASHARA YA MIFUGO
1
BIASHARA YA MIFUKO
1
BIASHARA YA MIHOGO YA KUKAANGA
2
BIASHARA YA MIKATE
1
BIASHARA YA MIKEKA
1
BIASHARA YA MITUMBA
3
BIASHARA YA MKAA
15
BIASHARA YA MUHOGO WA KUKAANGA
1
BIASHARA YA MWANI
9
BIASHARA YA NAFAKA
1
BIASHARA YA NDIZI
1
BIASHARA YA NDIZI CHOMA
1
BIASHARA YA NDIZI ZA KUKAANGA
1
BIASHARA YA NG'OMBE
1
BIASHARA YA NGUO
27
BIASHARA YA NGUO (MTUMBA)
1
BIASHARA YA NGUO MITAANI
1
BIASHARA YA NGUO MPYA
1
BIASHARA YA NGUO NA UREMBO
1
BIASHARA YA NGUO NA VIPODOZI
1
BIASHARA YA NGUO/VITENGE
1
BIASHARA YA NMAZAO
1
BIASHARA YA NYAMA
2
BIASHARA YA NYANYA
2
BIASHARA YA NYASI
1
BIASHARA YA OIL ZA MAGARI
1
BIASHARA YA PILIPILI HOHO
1
BIASHARA YA POMBE
8
BIASHARA YA POMBE KIENYEJI
1
BIASHARA YA POMBE RUBISI
1
BIASHARA YA POMBE YA KIENYEJI
1
BIASHARA YA POMBE YA MNAZI
1
BIASHARA YA POMBE ZA KIENYEJI
3
BIASHARA YA PUMBA
1
BIASHARA YA SABUNI
3
BIASHARA YA SALOON YA KIUME
1
BIASHARA YA SALUNI
3
BIASHARA YA SAMAKI
12
BIASHARA YA SAMAKI WA KUKAANGA
1
BIASHARA YA SAMANI
1
BIASHARA YA SAMANI MEZA
1
BIASHARA YA SAMBUSA
3
BIASHARA YA SAMBUSA NA UJI
1
BIASHARA YA SHANGA (UREMBO)
1
BIASHARA YA STATIONERY
1
BIASHARA YA SUFURIA
1
BIASHARA YA TOFALI
3
BIASHARA YA TOFARI
1
BIASHARA YA TOGWA
1
BIASHARA YA TUMBAKU
2
BIASHARA YA UBUYU
2
BIASHARA YA UJI
1
BIASHARA YA UNGA WA MAHINDI
1
BIASHARA YA UREMBO
1
BIASHARA YA USAFIRISHAJI
2
BIASHARA YA VIATU
2
BIASHARA YA VIATU (MTUMBA)
1
BIASHARA YA VINYWAJI
3
BIASHARA YA VITAMBAA
1
BIASHARA YA VITENGE
3
BIASHARA YA VITUMBUA
1
BIASHARA YA VITUNGUU
1
BIASHARA YA VIUNGO
1
BIASHARA YA VOCHA
1
BIASHARA YA VYAKULA
2
BIASHARA YA VYOMBO
2
BIASHARA YA VYUNGU
1
BIASHARA YADUKA
1
BIASHARA/TOILETRIES
1
BIDHAA MBALIMBALI (GROCERY)
1
BISHARA YA SALUNI
1
BODABODA
6
BUTCHER
1
CATERING
1
DALADALA BAISKELI
4
DALALI
3
DALALI WA MAJUMBA
1
DALALI WA MAZAO
1
DEREVA BODABODA
2
DEREVA TAX
1
DEREVA TAXI
1
DEREVA WA PIKIPIKI
1
DUKA LA BIDHAA
3
DUKA LA BIDHAA MCHANGANYIKO
2
DUKA LA BIDHAA NDOGONDOGO
1
DUKA LA BIDHAA ZA MLAJI
3
DUKA LA BIDHAA ZA VYAKULA
1
DUKA LA DAWA
2
DUKA LA DAWA MUHIMU
1
DUKA LA MADAWA
1
DUKA LA MADELA
1
DUKA LA MAUA
1
DUKA LA NGUO
3
DUKA LA REJA REJA
1
DUKA LA REJAREJA
35
DUKA LA SIMU NA VIFAA VYA SIMU
1
DUKA LA SODA
1
DUKA LA SPARE ZA GARI
1
DUKA LA VIFAA UJENZI
1
DUKA LA VIFAA VYA UJENZI
1
DUKA LA VINYWAJI BARIDI
1
DUKA LA VITABU
1
DUKA LA VYAKULA
4
DUKA REJAREJA
4
DUKA VYOMBO VYA NYUMBANI
1
DUKAKA LAREJAREJA
1
FUNDI CHEREHANI
1
FUNDI BAISKELI
7
FUNDI BAISKERI
1
FUNDI BASKELI
1
FUNDI BOMBA
1
FUNDI BOMBA MAJUMBANI
1
FUNDI BOMBA.
1
FUNDI CHERAHANI
1
FUNDI CHEREHANI
11
FUNDI CHEREHANI (NGUO)
1
FUNDI ELECTRONIC
1
FUNDI FENICHA
1
FUNDI GEREJI
2
FUNDI KIJIKO
1
FUNDI KUCHOMELEA
1
FUNDI KUCHONGA FENICHA
1
FUNDI KUJENGA
1
FUNDI KUPAKA RANGI
1
FUNDI KUPAUA NYUMBA
1
FUNDI KUSHONA NGUO
1
FUNDI MAGARI
3
FUNDI MIKOKOTENI
1
FUNDI MJENZI
2
FUNDI MJENZI WA NYUMBA
1
FUNDI MUASHI
1
FUNDI MWASHI
1
FUNDI NGUO
3
FUNDI PIKIPIKI
3
FUNDI RANGI
1
FUNDI RANGI WA NYUMBA
1
FUNDI REDIO NA LUNINGA
1
FUNDI SELEMALA
5
FUNDI SELEMARA
3
FUNDI SEREMALA
10
FUNDI SEREMARA
1
FUNDI SIMU
2
FUNDI UHASHI
1
FUNDI UHUNZI
1
FUNDI UJENZI
22
FUNDI UMEME
11
FUNDI UMEME WA NYUMBA
1
FUNDI VESPA
1
FUNDI VIATU
1
FUNDI VITU VYA UMEME
1
FUNDI WA KUCHOMEA
1
FUNDI WA KUSHONA NGUO
2
FUNDI WA VIFAA NYA UMEME
1
FUNDI WE;DING
1
FUNDI WELDING
1
GARI
1
GARI LA MIZIGO
1
GENGE
1
GENGE LA MBOGAMBOGA
2
GROCERY
1
HARDWARE STORE
1
HUDUMA YA ELIMU
1
HUDUMA YA SALUNI YA KIKE
1
HUDUMA ZA MPESA
2
JUISI YA MIWA
1
KAZI ZA KAYA
2
KIBANDA CHA VINYWAJI
1
KIOSK REJAREJA
1
KITUO CHA UFUNDISHAJI NA UGUNDUZI
1
KKUZA SAMAKI
1
KOTOA HUDUMA ZA TIBA ASILIA
1
KUBANJA KOKOTO
1
KUBEBA MIZIGO
6
KUCHAJI SIMU
1
KUCHEZESHA POOLTABLE
1
KUCHIMBA ALIMASI
1
KUCHIMBA ALMASI
1
KUCHIMBA DHAHABU
3
KUCHIMBA DHAHABU NA KUUZA
2
KUCHIMBA MADINI
3
KUCHIMBA NA KUUZA DHAHABU
3
KUCHIMBA NA KUUZA MADINI
2
KUCHIMBA NA KUUZA UDONGO WA DHAHABU
1
KUCHIMBA VISIMA
1
KUCHIMBANA KUUZA DHAHABU
1
KUCHOMA KUUZA MKAA
1
KUCHOMA MAANDAZI
1
KUCHOMA MAHINDI
2
KUCHOMA MKAA
2
KUCHOMA MKAA NA KUUZA
3
KUCHOMA NA KUUZA MAHINDI
1
KUCHOMA NA KUUZA MKAA
9
KUCHONGA
1
KUCHONGA FANICHA
1
KUCHONGA FENICHA
2
KUCHONGA MIKO NA MIPINI YA JEMBE
1
KUCHORA PIKO
1
KUCHOTA NA KUUZA MAJI
1
KUENDESHA BODABODA
1
KUENDESHA PIKIPIKI
1
KUFANYA JUISI
1
KUFATUA /KUUZA TOFALI
1
KUFINYANGA VYUNGU
3
KUFINYANGA VYUNGU NA KUUZA
2
KUFUA CHUMA
1
KUFUMA MASHUKA
2
KUFUMA MASHUKA NA KUUZA
1
KUFUMA VIKAPU
1
KUFUMA VITAMBAA
1
KUFUMA VITAMBAA NA KOFIA
1
KUFUNDISHA CHEKECHEA
1
KUFUNDISHA TUITION
1
KUFUNDISHA TUTION
1
KUFUNGA SOLAR
1
KUFUNGASHA NA KUUZA VYAKULA
1
KUFYATUA MATOFALI
1
KUFYATUA NA KUUZA TOFALI
2
KUFYATUA/KUUZA TOFALI
1
KUGEMA NA KUUZA ULANZI
3
KUGONGA KOKOTO NA KUUZA
1
KUJENGA
2
KUJENGA NYUMBA
14
KUJENGA NYUMBANI
1
KUJUMUA DAGAA
1
KUJUMUA NA KUUZA MAHARAGE
1
KUKAANGA CHAPATI
1
KUKAANGA KUKU
1
KUKAANGA MAANDAZI
3
KUKAANGA MIHOGO
2
KUKAANGA SAMBUSA
1
KUKAANGA VIAZI CHIPS
1
KUKAMUA ALIZETI
1
KUKATA KUNI POLINI NA KUUZA
1
KUKATA MKAA NA KUUZA
1
KUKATA NA KUUZA KUNI
2
KUKATA NA KUUZA MKAA
2
KUKATA/KUUZA KUNI
1
KUKODISHA BAISKELI
2
KUKODISHA BAJAJI
1
KUKODISHA PIKIPIKI
1
KUKODISHA ZANA ZA UVUVI
1
KUKOPESHA BIDHAA
1
KUKOPESHA LOSHENI
1
KUKOPESHA NGUO
1
KUKOPESHA VITENGE
1
KULANGUA NA KUUZA NAFAKA
1
KULANGUA NA KUUZA NG'OMBE
1
KULANGUA NAFAKA NA KUUZA
1
KULANGUA NG'OMBE NA KUUZA
1
KULIMA NA KUBEBA MIZIGO KWA NG'OME
1
KULIMIA WATU NA TREKTA
1
KULINDA MAGARI
1
KUMWAGILIA MAZAO
1
KUNI
1
KUNUNUA KUKU NA KUUZA
1
KUNUNUA MAHARAGE NA KUUZA
1
KUNUNUA MAZIWA NA KUUZA
1
KUNUNUA MBUZI NA KUCHINJA
1
KUNUNUA MBUZI NA KUUZA
1
KUNUNUA MIWA NA KUUZA
1
KUNUNUA MKAA NA KUUZA
1
KUNUNUA MPUNGA KUKOBOA NA KUUZA
1
KUNUNUA NA KUUZA DAGAA
2
KUNUNUA NA KUUZA KARANGA
3
KUNUNUA NA KUUZA KATANI
1
KUNUNUA NA KUUZA KUKU
1
KUNUNUA NA KUUZA MADINI
1
KUNUNUA NA KUUZA MAEMBE
1
KUNUNUA NA KUUZA MAHARAGE
1
KUNUNUA NA KUUZA MAHINDI
1
KUNUNUA NA KUUZA MAJI
1
KUNUNUA NA KUUZA MATUNDA
1
KUNUNUA NA KUUZA MAZAO
3
KUNUNUA NA KUUZA MBOGAMBOGA
1
KUNUNUA NA KUUZA MBUZI
1
KUNUNUA NA KUUZA MIWA
3
KUNUNUA NA KUUZA MPUNGA
1
KUNUNUA NA KUUZA NAFAKA
3
KUNUNUA NA KUUZA NDIZI
1
KUNUNUA NA KUUZA NG'OMBE
3
KUNUNUA NA KUUZA NYANYA
3
KUNUNUA NA KUUZA POMBE
1
KUNUNUA NA KUUZA SAMAKI
3
KUNUNUA NA KUUZA VIAZI
1
KUNUNUA NG'OMBE NA KUUZA
2
KUNUNUNA NA KUUZA POMBE YA KIENYEJI
1
KUNYOA NYWELE
2
KUONGOZA HAFLA MC
1
KUONYESHA MPIRA
1
KUOSHA MAGARI
3
KUPAKA RANGI
1
KUPAKA RANGI NYUMBA
1
KUPAMBA
1
KUPAMBA HARUSI
1
KUPAMBA KUMBI
1
KUPAMBA MAHARUSI
1
KUPAMBA UKUMBI
1
KUPANDA MWANI
1
KUPANGISHA NYUMBA
5
KUPIGA PICHA
3
KUPIGISHA MUZIKI
1
KUPIKA
1
KUPIKA CHAKULA
2
KUPIKA CHAKULA NA KUUZA
1
KUPIKA CHAPATI
1
KUPIKA MAANDAZI
3
KUPIKA MIKATE
1
KUPIKA NA KUUZA CHAKULA
1
KUPIKA NA KUUZA CHAPATI
1
KUPIKA NA KUUZA KANGARA POMBE YA KI
1
KUPIKA NA KUUZA MAANDAZI
1
KUPIKA NA KUUZA POMBE
10
KUPIKA NA KUUZA POMBE YA KIENYEJI
1
KUPIKA NA KUUZA POMBE KIENYEJI
1
KUPIKA NA KUUZA POMBE YA MTAMA
1
KUPIKA NA KUUZA SAMBUSA
1
KUPIKA NA KUUZA VITUMBUA
1
KUPIKA POMBE
2
KUPIKA POMBE NA KUUZA POMBE
3
KUPIKA POMBE YA KIENYEJI
1
KUPIKA SAMBUSA
1
KUPIKA VITUMBUA
1
KUPIKA VYAKULA MAMA LISHE
1
KUPONDA KOKOTO
1
KUREKEBISHA VIFAA VYA UMEME
1
KURIPEA MASHINE ZA PIKIPIKI
1
KURIPEA PIKIPIKI
1
KUSAFIRISHA ABIRIA
3
KUSAGA NAFAKA
1
KUSAGISHA NAFAKA
2
KUSHONA
4
KUSHONA KOFIA
1
KUSHONA MITO YA VITI
1
KUSHONA NA KUUZA COVER ZA BIBLIA
1
KUSHONA NA KUUZA MIKEKA
1
KUSHONA NA KUUZA NGUO
1
KUSHONA NA KUUZA VIKAPU
1
KUSHONA NGUO
32
KUSHONA NGUO NA KUUZA NGUO
1
KUSHONA NGUO ZA KIKE NA KIUME
1
KUSHONA VIATU
3
KUSIMAMIA UFUNDI UJENZI NA NYUMBA
1
KUSINDIKA MAHINDI
1
KUSOKOTA KAMBA ZA KATANI
1
KUSUKA KAMBA ZA KUFUNGIA MIFUGO
1
KUSUKA MAKUTI
3
KUSUKA MIKEKA
1
KUSUKA MIKOBA
2
KUSUKA MISALA
1
KUSUKA MSUSI
1
KUSUKA NA KUTENGENEZA NYWELE
1
KUSUKA NA KUUZA MATENGA
1
KUSUKA NA KUUZA MIKOBA
1
KUSUKA NA KUUZA NYUNGO
1
KUSUKA NA MIKEKA NA KUUZA
1
KUSUKA NYWELE
7
KUSUKA UKINDU WA VITANDA
1
KUSUKA VIKAPU
1
KUSUKAMIKEKA
1
KUSUKUMA MKOKOTENI
1
KUTEMBEZA NETI
1
KUTEMBEZA NGUO
3
KUTENGENEZA BAISKELI
2
KUTENGENEZA DOORMAT
1
KUTENGENEZA FAGIO
1
KUTENGENEZA FENICHA
1
KUTENGENEZA JUICE
1
KUTENGENEZA MAGARI
1
KUTENGENEZA MAGETI
2
KUTENGENEZA NA KUUZA KAMBA
1
KUTENGENEZA NA KUUZA POMBE
3
KUTENGENEZA NA KUUZA POMBE KIENYEJI
4
KUTENGENEZA NA KUUZA POMBE YA KIEYE
1
KUTENGENEZA NA KUUZA SABUNI ZA MAJI
1
KUTENGENEZA NA KUUZA THAMANI
1
KUTENGENEZA NA KUUZA TOFALI
2
KUTENGENEZA NA KUUZA UNGO
1
KUTENGENEZA NA KUUZA VITANDA
1
KUTENGENEZA NA KUUZA VITUMBUA
1
KUTENGENEZA NA KUUZA VYUNGU
1
KUTENGENEZA NA KUUZA ZANA ZA KILIMO
1
KUTENGENEZA PIKIPIKI
1
KUTENGENEZA POMBE YA KIENYEJI
1
KUTENGENEZA RADIO
1
KUTENGENEZA SABUNI
1
KUTENGENEZA SAMANI
7
KUTENGENEZA SOFA
2
KUTENGENEZA THAMANI
1
KUTENGENEZA VIFAA VYA UVUVI
1
KUTENGENEZA YA KUUZA VITI
1
KUTENGEZA BAISKELI
1
KUTOA HUDUMA YA ELIMU YA AWALI
1
KUTOA NA KUSAFIRISHA MIZIGO
1
KUUZA MKAA
1
KUUZA ASALI KWA JUMLA
1
KUUZA BADIA
1
KUUZA BAGIA
5
KUUZA BARAFU
1
KUUZA BIA NA SODA
1
KUUZA BIDHAA
1
KUUZA BIDHAA DUKA
1
KUUZA BIDHAA NDOGO
1
KUUZA BIDHAA NDOGONDOGO
4
KUUZA BIDHAA REJAREJA
3
KUUZA BIDHAA YA SABUNI
1
KUUZA BIDHAA ZA DUKA
1
KUUZA BIDHAA ZA DUKANI
3
KUUZA BIDHAA ZA FOREVER LIVING
1
KUUZA BIDHAA ZA MCHELE NAFAKA
1
KUUZA BIDHAA ZA NYUMBANI
1
KUUZA BIDHAA ZA VYAKULA
1
KUUZA BUMUNDA JAMII YA MAANDAZI
1
KUUZA CD NA KUTENGENEZA
1
KUUZA CHAI
2
KUUZA CHAI MAANDAZI
1
KUUZA CHAI NA CHAPATI
1
KUUZA CHAI NA MAANDAZI
2
KUUZA CHAI NA VITAFUNIO
1
KUUZA CHAKULA
12
KUUZA CHAKULA MAMA LISHE
1
KUUZA CHAKULA MGAHAWANI
2
KUUZA CHAKULA NA CHAI
1
KUUZA CHAKULA UGALI NYAMA CHOMA
1
KUUZA CHAPATI
6
KUUZA CHIPS
7
KUUZA CHIPSI
5
KUUZA CHUMA CHAKAVU
1
KUUZA CHUMVI REJAREJA
1
KUUZA DAGAA
24
KUUZA DAGAA KWA JUMLA
1
KUUZA DAGAA NA NYANYA
1
KUUZA DAGAA NYANYA
1
KUUZA DAGAA WAKAVU
1
KUUZA DAWA BARIDI
1
KUUZA DAWA ZA CHOONI
1
KUUZA DAWA ZA KIENYEJI
1
KUUZA DUKA
11
KUUZA DUKA BIDHAA REJAREJA
1
KUUZA DUKA LA BIDHAA
2
KUUZA DUKA LA CHAKULA
1
KUUZA DUKA LA MBATATA
1
KUUZA DUKA LA VINYWAJI
1
KUUZA DUKA LA VYAKULA
1
KUUZA DUKA REJAREJA
5
KUUZA DUKA REJAREJA BIDHAA MBALIMBA
1
KUUZA FENICHA VITANDA MAKABATI
1
KUUZA FLASH NA CARD LEADER
1
KUUZA GENGE
25
KUUZA GENGE LA VYAKULA
1
KUUZA GIFT BOX
1
KUUZA GODORO LA NYASI
1
KUUZA GUNIA TUPU
1
KUUZA ICECREAM
2
KUUZA JUICE
10
KUUZA JUICE YA MIWA
1
KUUZA JUISI
3
KUUZA KACHORI
1
KUUZA KADI ZA SALAMU
1
KUUZA KAHAWA
2
KUUZA KAKAO
2
KUUZA KAMBA
2
KUUZA KARANGA
11
KUUZA KARANGA ZA KUKAANGA
1
KUUZA KEKI
1
KUUZA KOKOTO
2
KUUZA KOMONO
1
KUUZA KOROBOI
1
KUUZA KUKU
5
KUUZA KUNI
14
KUUZA KUNI NA MKAA
1
KUUZA KUNI REJAREJA
1
KUUZA MAANDAZI
36
KUUZA MAANDAZI NA MBOGAMBOGA
1
KUUZA MAANDAZI, CHAI NA MAZIWA
1
KUUZA MABARAFU
1
KUUZA MACHUNGWA
2
KUUZA MADELA VITAMBAA MASHUKA
1
KUUZA MADINI
3
KUUZA MAEMBE
4
KUUZA MAFUTA
3
KUUZA MAFUTA TAA REJAREJA
1
KUUZA MAFUTA YA KULA
2
KUUZA MAFUTA YA MAWESE
1
KUUZA MAFUTA YA PETROL
1
KUUZA MAFUTA YA TAA
1
KUUZA MAGARI
1
KUUZA MAGAZETI
2
KUUZA MAHARAGE
3
KUUZA MAHINDI
9
KUUZA MAHINDI REJAREJA
1
KUUZA MAJANI
1
KUUZA MAJI
14
KUUZA MAJI BARIDI
1
KUUZA MAKONGORO
1
KUUZA MALAI
1
KUUZA MANDAZI
6
KUUZA MATOFALI
3
KUUZA MATUNDA
11
KUUZA MAUA
1
KUUZA MAWE
2
KUUZA MAWE YA UJENZI
1
KUUZA MAWESE
2
KUUZA MAYAI
3
KUUZA MAYAI REJAREJA
1
KUUZA MAYAI,NJEGERE NA MIHOGO
1
KUUZA MAZAO
9
KUUZA MAZAO SOKONI
1
KUUZA MAZAO YA CHAKULA
1
KUUZA MAZIWA
1
KUUZA MBAO
1
KUUZA MBOGA
6
KUUZA MBOGA MBOGA
3
KUUZA MBOGA PORI
1
KUUZA MBOGA ZA MAJANI NA NYANYA
1
KUUZA MBOGAMBOGA
16
KUUZA MBOLEA
1
KUUZA MBUZI
1
KUUZA MCHELE
1
KUUZA MCHELE NA NYANYA
1
KUUZA MCHICHA
4
KUUZA MGAHAWA
1
KUUZA MICHE YA MBAO
1
KUUZA MIFUKO YA KARATASI
1
KUUZA MIHOGO
3
KUUZA MIHOGO KUKAANGA
1
KUUZA MIKATE
3
KUUZA MIKATE REJAREJA
1
KUUZA MIKATE REJEREJA
1
KUUZA MIKEKA
5
KUUZA MIPINI NA MIKO
1
KUUZA MISHIKAKI
1
KUUZA MITI
1
KUUZA MITUMBA
5
KUUZA MIWA
4
KUUZA MKAA
57
KUUZA MKAA JUMLA
1
KUUZA MKAA NA VIAZI
1
KUUZA MKAA REJAREJA
5
KUUZA MPUNGA
1
KUUZA MTUMBA
1
KUUZA MWANI
1
KUUZA NA KUPIKA VITUMBUA
1
KUUZA NA KUTENGENEZA MAJIKO
1
KUUZA NAFAKA
5
KUUZA NANASI
2
KUUZA NAZI
1
KUUZA NAZI JUMLA
1
KUUZA NDIZI
12
KUUZA NDIZI MBIVU
1
KUUZA NDIZI NA NYANYA
1
KUUZA NDIZI NANYA
1
KUUZA NDIZI REJAREJA
1
KUUZA NETI
1
KUUZA NG'OMBE
4
KUUZA NGUO
40
KUUZA NGUO MADELA
1
KUUZA NGUO MITUMBA
2
KUUZA NGUO NA VIATU
3
KUUZA NGUO REJAREJA
1
KUUZA NGUO SPESHO
1
KUUZA NGUO ZA MITUMBA
2
KUUZA NGUO ZA MTUMBA
2
KUUZA NJUGU
1
KUUZA NYAMA
7
KUUZA NYAMA CHOMA
1
KUUZA NYAMA YA MBUZI
1
KUUZA NYAMA ZA KUKU
1
KUUZA NYANYA
10
KUUZA NYANYA NDIZI
1
KUUZA NYANYA,DAGAA NA NDIZI
1
KUUZA NYASI
1
KUUZA PARACHICHI
2
KUUZA POCHI
2
KUUZA POCHI NA MIKUFU
1
KUUZA POMBE
22
KUUZA POMBE (KIENYEJI)
1
KUUZA POMBE (MBEGE)
1
KUUZA POMBE KIENYEJI
5
KUUZA POMBE YA KIENYEJI
15
KUUZA POMBE ZA KIENYEJI
10
KUUZA POMBE ZAKIENYEJI
1
KUUZA POMBE(KIENYEJI)
1
KUUZA PWEZA JUMLA
1
KUUZA RASTA
1
KUUZA SABUNI
5
KUUZA SABUNI UNGA
1
KUUZA SABUNI YA UNGA
3
KUUZA SABUNI ZA MAJI
1
KUUZA SAMAKI
28
KUUZA SAMAKI JUMLA
1
KUUZA SAMAKI NA DAGAA
1
KUUZA SAMAKI WA KUKAANGA
1
KUUZA SAMBUSA
6
KUUZA SHANGA
1
KUUZA SIGARA
1
KUUZA SIKI YA PILIPILI
1
KUUZA SUPU
2
KUUZA TANGAWIZI
1
KUUZA TOFALI
3
KUUZA TOFALI ZA KUCHOMA
1
KUUZA TOGWA
2
KUUZA TUMBAKU
7
KUUZA UFUTA
1
KUUZA UGORO
2
KUUZA UNGA SEMBE
1
KUUZA UPUPU
1
KUUZA UREMBO
3
KUUZA VIATU
5
KUUZA VIATU MITUMBA
1
KUUZA VIAZI
3
KUUZA VIAZI MVIRINGO
1
KUUZA VIAZI SOKONI
1
KUUZA VIAZI VITAMU
3
KUUZA VIBARAGARA
1
KUUZA VIFAA PIKIPIKI
1
KUUZA VIFAA VYA SHULE
1
KUUZA VIFAA VYA STATIONARI,UREMBO
1
KUUZA VIFAA VYA UJENZI
1
KUUZA VILEJA
1
KUUZA VINYWAJI
11
KUUZA VINYWAJI BARIBI REJAREJA
1
KUUZA VINYWAJI BARIDI
2
KUUZA VIPODOZI
2
KUUZA VITAFUNIO
2
KUUZA VITAFUNWA
3
KUUZA VITENGE
11
KUUZA VITENGE/KANGA/MADIRA/VIATU
1
KUUZA VITUMBUA
3
KUUZA VITUMBUA MAANDAZI NA CHAI
1
KUUZA VITUNGA
1
KUUZA VITUNGUU
1
KUUZA VIUNGO REJAREJA
1
KUUZA VIUNGO VYA CHAI
1
KUUZA VIUNGO VYA PILAO
1
KUUZA VOCHA
1
KUUZA VYAKULA
2
KUUZA VYAKULA DUKANI
1
KUUZA VYOMBO
4
KUUZA VYOMBO VYA JIKONI
1
KUUZA VYUMA CHAKAVU
2
KUUZA VYUNGU
2
KUVUNJA KOKOTO
4
KUVUNJA MAWE
1
KUZIBA PANCHA
1
MAKTABA YA MIKANDA
1
MAMA LISHE
35
MAMA NITILIYE
1
MAMA NTILIE
2
MARIA ROBERT MASANJA
1
MASHINE YA KUSAGA
1
MASHINE YA KUSAGA NAFAKA
1
MASHINE YA KUSAGA YA DHAHABU
1
MGAHAWA
8
MGAHAWA (KUUZA CHAI)
1
MGAHAWA WA KUUZA CHAKULA
1
MGANGA WA JADI
3
MGANGA WA KIENYEJI
5
MGEMAJI
1
MIFUKO
1
MJENZI
1
MJENZI WA NYUMBA
1
MKAA
1
MKAA/KUNI
1
MMILIKI NA KUFUNDISHA CHEKECHEA
1
MSUSI
1
MSUSI WA NYWELE
1
MUIGIZAJI
1
MUUZA CHAPATI
1
MUUZA KARANGA
1
MUUZA KOROSHO
1
MUUZA MAYAI
1
MUUZA MINGOKO
1
MUUZA POMBE
2
MWALIMU NA MMILIKI WA CHEKECHEA
1
MWANI
5
NGUO
1
NYUMBA YA KULALA WAGENI
1
NYUMBA YA KUPANGA
1
NYUMBA YA WAGENI
1
PHOTO LAB STUDIO
1
POMBE ZA KIENYEJI
1
PRODUCER
1
SALOON (KIKE)
1
SALOON YA KIKE
1
SALUNI YA KIKE
1
SALUNI YA KUNYOA NYWELE
1
SELEMARA
1
SERVICE ZA MAGARI
1
SHOE SHINE
1
SHOE SHINE AND SHOES REPAIR
1
SHUGHULI ZA FUNDI UJENZI NYUMBA
1
SREMALA
1
STATIONARY
1
TIBA YA ASILI
1
UANDAAJI VIPINDI TV/RADIO
1
UCHIMBAJI MADINI DHAHABU
1
UCHIMBAJI NA UUZAJI WA MADINI
1
UCHIMBAJI NA UZAJI MAWE
1
UCHONGAJI
1
UCHORAJI PICO
1
UCHUKUZI BANDARINI
1
UCHUKUZI WA MIZIGO
1
UDALALI WA MASHAMBA
1
UFINYANZI
2
UFUNDI BAISKELI
1
UFUNDI KUSHONA
1
UFUNDI MAGARI
1
UFUNDI SEREMALA
2
UFUNDI SEREMARA
1
UFUNDI TV,RADIO
1
UFUNDI UJENZI NYUMBA
1
UFUNDI UMEME
2
UFUNDI WELDING
2
UGANGA WA JADI
1
UGANGA WA KIENYEJI
1
UJENZI WA MAJUMBA
1
UJENZI WA MFUMO WA MAJI
1
UJENZI WA NYUMBA
10
UMALIZIAJI WA NYUMBA
1
UMEME WA MAJUMBANI
1
UMILIKI UENDESHAJI WA GARI YA MIZIG
1
UMILIKI WA UDEREVA BODABODA
1
UNUNUZI NA UUZAJI WA MAFUTA PETROL
1
UPANGISHAJI NYUMBA
1
UPIGAJI PICHA UZAJI CD KUTIA MZIKI
1
UPIKAJI
1
USAFIRISHAJI (BODABODA)
1
USAFIRISHAJI ABIRIA
4
USAFIRISHAJI ABIRIA DALADALA
1
USAFIRISHAJI ABIRIA KWA BAISKELI
1
USAFIRISHAJI ABIRIA NA MIZIGO MTUMB
1
USAFIRISHAJI BIDHAA
1
USAFIRISHAJI BODABODA
1
USAFIRISHAJI MIZIGO
2
USHONAJI
1
USHONAJI NGUO
7
USHONAJI VIATU
1
USIMAMIZI UJENZI
1
USUSI
1
USUSI WA NYWELE
2
UTENGENEZAJI MAJAHAZI
1
UTENGENEZAJI MATOFALI YA KUCHOMA
1
UTENGENEZAJI WA SAMANI
1
UUZAJI DHAHABU
1
UUZAJI GENGE
2
UUZAJI GROCERY
1
UUZAJI MADINI
1
UUZAJI MATUNDA
1
UUZAJI MCHELE
1
UUZAJI MIHOGO
1
UUZAJI MKAA
1
UUZAJI POMBE KIENYEJI
1
UUZAJI UFUTA NA VILEJA
1
UUZAJI VITENGE
1
UUZAJI WA BIDHAA NDOGO NDOGO ZA NYU
1
UUZAJI WA BIDHAA ZA DUKANI
1
UUZAJI WA CHAKULA
2
UUZAJI WA KIBUKU
1
UUZAJI WA MBOGA
1
UUZAJI WA MKAA
1
UUZAJI WA NGUO
1
UUZAJI WA PEMBEJEO
1
UUZAJI WA POMBE
1
UUZAJI WA POMBE ZA KIENYEJI
1
UUZAJI WA VIUNGO VYA PILAU
1
UWAKILI
1
UZAJI CHIPS
1
UZAJI DUKA
1
UZAJI DUKA LA VYAKULA
2
UZAJI DUKA VYAKULA
1
UZAJI JUISE
1
UZAJI JUISI
2
UZAJI KACHORI
1
UZAJI KEKI
1
UZAJI KOKOTO
1
UZAJI KUNI
1
UZAJI KUNI NA MKAA
1
UZAJI MAANDAZI
1
UZAJI MAHINDI
1
UZAJI MALAI
3
UZAJI MIKATE
1
UZAJI MWANI
3
UZAJI SIMU
1
UZAJI UROJO
1
UZAJI VISHETI
1
UZAJI VYAKULA VYA MATUNDA
1
UZAJI WA VYOMBO VYA NYUMBANI
1
VINYWAJI BARIDI
1
VYOMBO VYA NYUMBANI
1
Please provide details on the main products or services of each [ENTERPRISE] tha
2103
1720
1
4923
1
CROP AND ANIMAL PRODUCTION, HUNTING AND RELATED SERVICE ACTIVITIES
5
2
FORESTRY AND LOGGING
8
3
FISHING AND AQUACULTURE
5
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
28
9
MINING SUPPORT SERVICE ACTIVITIES
1
10
MANUFACTURE OF FOOD PRODUCTS
0
11
MANUFACTURE OF BEVERAGES
13
12
MANUFACTURE OF TOBACCO PRODUCTS
0
13
MANUFACTURE OF TEXTILES
28
14
MANUFACTURE OF WEARING APPAREL
22
15
MANUFACTURE OF LEATHER AND RELATED PRODUCTS
1
16
MANUFACTURE OF WOOD AND OF PRODUCTS OF WOOD AND CORK, EXCEPT FURNITURE; MANUFACTURE OF ARTICLES OF STRAW AND PLAITING MATERIALS
13
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
1
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
1
26
MANUFACTURE OF COMPUTER, ELECTRONIC AND OPTICAL PRODUCTS
1
27
MANUFACTURE OF ELECTRICAL EQUIPMENT
1
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
39
32
OTHER MANUFACTURING
36
33
REPAIR AND INSTALLATION OF MACHINERY AND EQUIPMENT
12
35
ELECTRICITY, GAS, STEAM AND AIR CONDITIONING SUPPLY
4
36
WATER COLLECTION, TREATMENT AND SUPPLY
2
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
61
42
CIVIL ENGINEERING
0
43
SPECIALIZED CONSTRUCTION ACTIVITIES
11
45
WHOLESALE AND RETAIL TRADE AND REPAIR OF MOTOR VEHICLES AND MOTORCYCLES
1
46
WHOLESALE TRADE, EXCEPT OF MOTOR VEHICLES AND MOTORCYCLES
12
47
RETAIL TRADE, EXCEPT OF MOTOR VEHICLES AND MOTORCYCLES
4
49
LAND TRANSPORT AND TRANSPORT VIA PIPELINES
0
50
WATER TRANSPORT
2
51
AIR TRANSPORT
0
52
WAREHOUSING AND SUPPORT ACTIVITIES FOR TRANSPORTATION
1
53
POSTAL AND COURIER ACTIVITIES
0
55
accommodation
9
56
FOOD AND BEVERAGE SERVICE ACTIVITIES
3
58
PUBLISHING ACTIVITIES
1
59
MOTION PICTURE, VIDEO AND TELEVISION PROGRAMME PRODUCTION, SOUND RECORDING AND MUSIC PUBLISHING ACTIVITIES
3
60
PROGRAMMING AND BROADCASTING ACTIVITIES
0
61
telecommunications
0
62
COMPUTER PROGRAMMING, CONSULTANCY AND RELATED ACTIVITIES
1
63
INFORMATION SERVICE ACTIVITIES
0
64
FINANCIAL SERVICE ACTIVITIES, EXCEPT INSURANCE AND PENSION FUNDING
3
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
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
0
80
SECURITY AND INVESTIGATION ACTIVITIES
1
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
7
86
HUMAN HEALTH ACTIVITIES
7
87
RESIDENTIAL CARE ACTIVITIES
0
88
SOCIAL WORK ACTIVITIES WITHOUT ACCOMMODATION
4
90
CREATIVE, ARTS AND ENTERTAINMENT ACTIVITIES
10
91
LIBRARIES, ARCHIVES, MUSEUMS AND OTHER CULTURAL ACTIVITIES
4
92
GAMBLING AND BETTING ACTIVITIES
0
93
SPORTS ACTIVITIES AND AMUSEMENT AND RECREATION ACTIVITIES
3
94
ACTIVITIES OF MEMBERSHIP ORGANIZATIONS
0
95
REPAIR OF COMPUTERS AND PERSONAL AND HOUSEHOLD GOODS
7
96
OTHER PERSONAL SERVICE ACTIVITIES
104
97
ACTIVITIES OF HOUSEHOLDS AS EMPLOYERS OF DOMESTIC PERSONNEL
10
98
UNDIFFERENTIATED GOODS- AND SERVICES-PRODUCING ACTIVITIES OF PRIVATE HOUSEHOLDS FOR OWN USE
3
99
ACTIVITIES OF EXTRATERRITORIAL ORGANIZATIONS AND BODIES
1
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
1
105
MANUFACTURE OF DAIRY PRODUCTS
0
106
MANUFACTURE OF GRAIN MILL PRODUCTS, STARCHES AND STARCH PRODUCTS
6
107
MANUFACTURE OF OTHER FOOD PRODUCTS
1
108
MANUFACTURE OF PREPARED ANIMAL FEEDS
0
471
RETAIL SALE IN NON-SPECIALIZED STORES
133
472
RETAIL SALE OF FOOD, BEVERAGES AND TOBACCO IN SPECIALIZED STORES
65
473
RETAIL SALE OF AUTOMOTIVE FUEL IN SPECIALIZED STORES
3
474
RETAIL SALE OF INFORMATION AND COMMUNICATIONS EQUIPMENT IN SPECIALIZED STORES
1
475
RETAIL SALE OF OTHER HOUSEHOLD EQUIPMENT IN SPECIALIZED STORES
5
476
RETAIL SALE OF CULTURAL AND RECREATION GOODS IN SPECIALIZED STORES
2
477
RETAIL SALE OF OTHER GOODS IN SPECIALIZED STORES
58
478
RETAIL SALE VIA STALLS AND MARKETS
342
479
RETAIL TRADE NOT IN STORES, STALLS OR MARKETS
764
491
TRANSPORT VIA RAILWAYS
0
492
OTHER LAND TRANSPORT
11
493
TRANSPORT VIA PIPELINE
0
532
1
561
RESTAURANTS AND MOBILE FOOD SERVICE ACTIVITIES
43
562
EVENT CATERING AND OTHER FOOD SERVICE ACTIVITIES
72
563
BEVERAGE SERVING ACTIVITIES
49
919
2
934
1
4921
URBAN AND SUBURBAN PASSENGER LAND TRANSPORT
13
4922
OTHER PASSENGER LAND TRANSPORT
21
4923
FREIGHT TRANSPORT BY ROAD
9
Sysmiss
1720
Which members of the household are engaged in this [ENTERPRISE}?
2105
1718
1
17
1
1350
2
608
3
79
4
28
5
19
6
4
7
6
8
8
9
1
11
1
17
1
Sysmiss
1718
Which members of the household are engaged in this [ENTERPRISE}?
276
3547
1
9
1
23
2
164
3
48
4
17
5
7
6
11
7
2
8
2
9
2
Sysmiss
3547
Which members of the household are engaged in this [ENTERPRISE}?
60
3763
3
16
3
22
4
24
5
9
6
2
9
1
10
1
16
1
Sysmiss
3763
Which members of the household are engaged in this [ENTERPRISE}?
20
3803
2
9
2
1
4
10
5
7
7
1
9
1
Sysmiss
3803
Which members of the household are engaged in this [ENTERPRISE}?
6
3817
3
8
3
1
5
1
6
2
7
1
8
1
Sysmiss
3817
Which members of the household are engaged in this [ENTERPRISE}?
1
3822
7
7
7
1
Sysmiss
3822
Who in the household manages this [ENTERPRISE] or is most familiar with it?
2105
1718
1
17
1
1325
2
636
3
75
4
28
5
19
6
4
7
6
8
9
9
1
11
1
17
1
Sysmiss
1718
Who in the household manages this [ENTERPRISE] or is most familiar with it?
121
3702
1
6
1
16
2
78
3
14
4
6
5
4
6
3
Sysmiss
3702
Who in the household owns this [ENTERPRISE]?
2105
1718
0
17
0
1
1
1336
2
623
3
77
4
28
5
19
6
4
7
6
8
8
9
1
11
1
17
1
Sysmiss
1718
Who is the household owns this [ENTERPRISE]?
94
3729
1
8
1
7
2
68
3
9
4
4
5
2
6
3
8
1
Sysmiss
3729
Where do you do [ENTERPRISE]?
2104
1719
1
13
1
W/IN OWN OR BUS. PARTNER'S HOME - WITH SPECIAL BUS. SPACE
567
2
W/IN OWN OR BUS. PARTNER'S HOME - WITHOUT SPECIAL BUS. SPACE
145
3
STRUCTURE ATTACHED TO /OUTSIDE OWN OR BUS. PARTNER'S HOUSE
21
4
PERMANENT BLDG. OTHER THAN HOME
262
5
FIXED STALL/KIOSK - IN MARKET
111
6
VEHICLE, CART, TEMP. STALL - IN MARKET
28
7
FIXED STALL/ KIOSK - STREET
56
8
VEHICLE, CART, TEMP. STALL - STREET
10
9
OTHER TEMP. STRUCTURE
210
10
CONSTRUCTION SITE
25
11
CLIENT'S/EMPLOYER'S HOUSE
35
12
NO FIXED LOCATION/MOBILE
581
13
OTHER (SPECIFY)
53
Sysmiss
1719
How long has this [ENTERPRISE] existed?
2104
1719
0
50
How long has this [ENTERPRISE] existed?
2082
1741
0
99
What was the main source of start-up capital for this income-generating activity
2102
1721
1
13
1
LOAN FROM FAMILY / FRIENDS
173
2
GIFT FROM FAMILY / FRIENDS
485
3
SALE OF ASSETS OWNED
79
4
PROCEEDS FROM NON-FARM BUSINESS
201
5
PROCEEDS FROM FARM/AGRICULTURAL BUSINESS
315
6
OWN SAVINGS
559
7
LOAN FROM SACCOS
8
8
NON-AGRICULTURAL CREDIT
13
9
BANK OR OTHER INSTITUTION
10
10
LOAN FROM MONEY LENDER
39
11
inherited
19
12
OTHER (SPECIFY)
35
13
NO START-UP COSTS
166
Sysmiss
1721
What was the main source of start-up capital for this income-generating activity
87
3736
1
12
1
LOAN FROM FAMILY / FRIENDS
6
2
GIFT FROM FAMILY / FRIENDS
11
3
SALE OF ASSETS OWNED
3
4
PROCEEDS FROM NON-FARM BUSINESS
4
5
PROCEEDS FROM FARM/AGRICULTURAL BUSINESS
9
6
OWN SAVINGS
40
7
LOAN FROM SACCOS
2
8
NON-AGRICULTURAL CREDIT
0
9
BANK OR OTHER INSTITUTION
2
10
LOAN FROM MONEY LENDER
4
11
inherited
2
12
OTHER (SPECIFY)
4
13
NO START-UP COSTS
0
Sysmiss
3736
What was the main source of start-up capital for this income-generating activity
1
3822
2
2
1
LOAN FROM FAMILY / FRIENDS
0
2
GIFT FROM FAMILY / FRIENDS
1
3
SALE OF ASSETS OWNED
0
4
PROCEEDS FROM NON-FARM BUSINESS
0
5
PROCEEDS FROM FARM/AGRICULTURAL BUSINESS
0
6
OWN SAVINGS
0
7
LOAN FROM SACCOS
0
8
NON-AGRICULTURAL CREDIT
0
9
BANK OR OTHER INSTITUTION
0
10
LOAN FROM MONEY LENDER
0
11
inherited
0
12
OTHER (SPECIFY)
0
13
NO START-UP COSTS
0
Sysmiss
3822
To whom do you sell your products or services?
2101
1722
1
8
1
FINAL CONSUMERS
1876
2
SMALL BUSINESS
165
3
LARGE ESTABLISHED BUSINESS
48
4
institutions
2
5
export
0
6
manufacturers
1
7
government
1
8
OTHER (SPECIFY)
8
Sysmiss
1722
To whom do you sell your products or services?
111
3712
1
8
1
FINAL CONSUMERS
14
2
SMALL BUSINESS
73
3
LARGE ESTABLISHED BUSINESS
19
4
institutions
3
5
export
0
6
manufacturers
0
7
government
1
8
OTHER (SPECIFY)
1
Sysmiss
3712
What is the total value of your physical capital stock, including all tools, equ
2102
1721
0
70000000
What is the total value of your current stock of inputs or supplies?
2102
1721
0
15000000
What is the total value of your current stock of finished merchandise (goods for
2100
1723
0
80000000
What gross income/takings did you get from your business or businesses in the la
2105
1718
1
2
1
week
460
2
month
1645
Sysmiss
1718
What gross income/takings did you get from your business or businesses in the la
2104
1719
0
103525000
What was the net income (profit) from your business or businesses in the last we
2097
1726
1
2
1
week
444
2
month
1653
Sysmiss
1726
What was the net income (profit) from your business or businesses in the last we
2101
1722
0
13842000
How many employees do you have who are not household members?
2103
1720
0
20
0
1811
1
152
2
65
3
36
4
12
5
9
6
10
8
2
10
1
12
2
13
1
14
1
20
1
Sysmiss
1720
What was your total expenditure on wages/salary in the last month?
2103
1720
0
4000000
What was your total expenditure on raw amterials in the last month?
2101
1722
0
98000000
How much were your other operating expenses (for this [ENTERPRISE]) such as fuel
2101
1722
0
10800000
How many months during the last 12 months did you operate this [ENTERPRISE]?
2103
1720
0
13
0
11
1
90
2
86
3
138
4
108
5
69
6
159
7
61
8
119
9
78
10
82
11
50
12
1051
13
1
Sysmiss
1720
What was your AVERAGE net monthly income (profit) during the months when you ope
2100
1723
0
13000000
Is this company officially registered with the... [REGISTRAR OF COMPANIES] ?
2105
1718
1
2
1
yes
37
2
no
2068
Sysmiss
1718
Is this company officially registered with the... [TAX AUTHORITY] ?
2105
1718
1
2
1
yes
176
2
no
1929
Sysmiss
1718
Is this company officially registered with the... [LOCAL AUTHORITY] ?
2105
1718
1
2
1
yes
252
2
no
1853
Sysmiss
1718
Is this company officially registered with the... [OTHER SPECIFY] ?
2105
1718
1
2
1
yes
9
2
no
2096
Sysmiss
1718
Case Section Roster / Line Occurrence Sequence for O/S Merge
20112
0
1
6
1
3352
2
3352
3
3352
4
3352
5
3352
6
3352
Unique Household Identification NPS Y4
20112
0
Item Code
20112
0
1
6
1
FREE FOOD/MAIZE DISTRIBUTION
3352
2
FOOD-FOR-WORK PROGRAMME OR CASH-FOR-WORK PROGRAMME
3352
3
INPUTS-FOR WORK PROGRAMME
3352
4
SCHOLARSHIPS OR BURSARIES FOR PRIMARY SCHOOL
3352
5
SCHOLARSHIPS OR BURSARIES FOR SECONDARY SCHOOL
3352
6
OTHER ASSISTANCE (NOT LISTED ABOVE), SPECIFY:
3352
Did you or members of your household receive any […] in the past 12 months from
20107
5
1
2
1
yes
201
2
no
19906
Sysmiss
5
What is the name of the organization/program who provided this assistance?
199
0
**CONFIDENTIAL**
199
How much cash did your household receive from this organization in the last 12 m
201
19911
0
400000
What was the value of food the household received from this organization in the
201
19911
0
600000
What was the value of any other in-kind assistance received in the last 12 month
201
19911
0
300000
Which members of the household participated in this program?
199
19913
1
12
1
147
2
29
3
11
4
5
5
2
6
3
9
1
12
1
Sysmiss
19913
Which members of the household participated in this program?
73
20039
2
6
2
63
3
3
4
4
6
3
Sysmiss
20039
Which members of the household participated in this program?
35
20077
3
7
3
31
4
2
5
1
7
1
Sysmiss
20077
Who in your household controls/decides on the use of assistance from the program
144
19968
1
5
1
129
2
12
3
2
5
1
Sysmiss
19968
Who in your household controls/decides on the use of assistance from the program
51
20061
1
6
1
2
2
47
3
1
6
1
Sysmiss
20061
Case Section Roster / Line Occurrence Sequence for O/S Merge
3358
0
1
2
1
3352
2
6
Unique Household Identification NPS Y4
3358
0
Code
178
0
A
172
B
6
Name of household member
178
0
**CONFIDENTIAL**
178
Number of household member
178
3180
1
4
1
122
2
54
3
1
4
1
Sysmiss
3180
What is [NAME] total balance with the group
178
3180
2000
55000000
How often does [NAME] contribute to the group?
178
3180
1
4
1
day
2
2
week
89
3
month
81
4
year
6
Sysmiss
3180
How often does [NAME] contribute to the group?
178
3180
1
4
1
161
2
8
3
4
4
5
Sysmiss
3180
How much does [NAME] give each time
178
3180
500
1350000
When was the last time [NAME] withdrew money?
178
3180
0
12
0
48
1
14
2
9
3
13
4
10
5
7
6
18
7
10
8
4
9
16
10
9
11
10
12
10
Sysmiss
3180
When was the last time [NAME] withdrew money?
178
3180
0
2015
How much did [NAME] withdraw?
130
3228
5000
25000000
What was the balance just before the withdrawal?
130
3228
0
40000000
What was the main reason [NAME] took money out this last time?
130
3228
1
10
1
SUBSISTENCE NEEDS
20
2
MEDICAL COST
6
3
SCHOOL FEES
28
4
CEREMONY/WEDDING
2
5
PURCHASE LAND
2
6
PURCHASE AGRICULTURAL INPUTS
8
7
OTHER BUSINESS INPUTS
21
8
PURCHASE AGRICULTURAL MACHINERY
0
9
PURCHASE/CONSTRUCTION OF DWELLING
19
10
OTHER (SPECIFY)
24
Sysmiss
3228
How much will [NAME] pay for this loan per [PERIOD]?
130
3228
4
26000000
How much will [NAME] pay for this loan per [PERIOD]?
130
3228
2
4
1
day
0
2
week
11
3
month
99
4
year
20
Sysmiss
3228
How long will it take [NAME] to repay the loan?
130
3228
1
60
Case Section Roster / Line Occurrence Sequence for O/S Merge
3416
0
1
4
1
3352
2
56
3
6
4
2
Unique Household Identification NPS Y4
3416
0
ID loan
509
2907
1
4
1
445
2
56
3
6
4
2
Sysmiss
2907
What are the names of the persons or institutions from whom you or anyone else i
509
0
**CONFIDENTIAL**
509
CODE SOURCE OF LOAN
509
2907
1
13
1
COMMERCIAL BANKS
67
2
MICRO-FINANCE INST
71
3
BUILDING SOC./MORTGAGE
2
4
INSURANCE COMPANIES
0
5
OTHER FINANCIAL INST
13
6
NEIGHBOURS / FRIENDS
146
7
GROCERY/LOCAL MERCHANT
59
8
MONEY LENDER
32
9
employer
4
10
RELIGIOUS INST
10
11
ngo
1
12
SELF-HELP GROUPS
76
13
OTHER (SPECIFY)
28
Sysmiss
2907
Which house-hold member was responsible for the loan?
509
2907
1
8
1
400
2
98
3
6
4
3
5
1
8
1
Sysmiss
2907
Was this a cash loan or goods on credit?
509
2907
1
2
1
cash
427
2
goods
82
Sysmiss
2907
How much was borrowed or what was the value of the credit?
509
2907
600
200000000
Is the loan/credit re-paid?
509
2907
1
2
1
yes
210
2
no
299
Sysmiss
2907
Approximately when do you expect to pay back the money?
297
3119
0
99
Approximately when do you expect to pay back the money?
297
3119
2014
2020
2014
27
2015
222
2016
17
2017
7
2018
7
2019
16
2020
1
Sysmiss
3119
Total amount to be paid on the loan including interest.
509
2907
0
5673578580
What did you use this loan/credit for?
509
2907
1
11
1
SUBSISTENCE NEEDS
170
2
MEDICAL COST
37
3
SCHOOL FEES
43
4
CEREMONY/WEDDING
3
5
PURCHASE LAND
21
6
PURCHASE AGRIC. INPUTS
39
7
OTHER BUSINESS INPUTS
123
8
PURCHASE AGRIC. MACHINERY
1
9
BUY/BUILD DWELLING
38
10
OTHER (SPECIFY)
31
11
NO REASON
3
Sysmiss
2907
What did you use this loan/credit for?
67
3349
1
10
1
SUBSISTENCE NEEDS
22
2
MEDICAL COST
5
3
SCHOOL FEES
10
4
CEREMONY/WEDDING
0
5
PURCHASE LAND
2
6
PURCHASE AGRIC. INPUTS
4
7
OTHER BUSINESS INPUTS
8
8
PURCHASE AGRIC. MACHINERY
0
9
BUY/BUILD DWELLING
10
10
OTHER (SPECIFY)
6
11
NO REASON
0
Sysmiss
3349
What did you use this loan/credit for?
6
3410
7
10
1
SUBSISTENCE NEEDS
0
2
MEDICAL COST
0
3
SCHOOL FEES
0
4
CEREMONY/WEDDING
0
5
PURCHASE LAND
0
6
PURCHASE AGRIC. INPUTS
0
7
OTHER BUSINESS INPUTS
1
8
PURCHASE AGRIC. MACHINERY
0
9
BUY/BUILD DWELLING
3
10
OTHER (SPECIFY)
2
11
NO REASON
0
Sysmiss
3410
Case Section Roster / Line Occurrence Sequence for O/S Merge
3352
0
1
1
1
3352
Unique Household Identification NPS Y4
3352
0
M-PESA
3352
0
1
2
1
yes
1118
2
no
2234
EZY-PESA (Z-PESA)
3352
0
1
2
1
yes
55
2
no
3297
AIRTEL (ZAP)
3352
0
1
2
1
yes
497
2
no
2855
TIGO PESA
3352
0
1
2
1
yes
778
2
no
2574
How often does your household use this service?
1757
1595
1
8
1
daily
86
2
weekly
209
3
EVERY 2 WEEKS
84
4
monthly
250
5
EVERY 3 MONTHS
45
6
EVERY 6 MONTHS
22
7
LESS OFTEN
1058
8
never
3
Sysmiss
1595
Buy airtime for yourself
1757
1595
1
2
1
yes
758
2
no
999
Sysmiss
1595
Buy airtime for someone else
1757
1595
1
2
1
yes
354
2
no
1403
Sysmiss
1595
Send money
1757
1595
1
2
1
yes
1322
2
no
435
Sysmiss
1595
Receive money
1757
1595
1
2
1
yes
1554
2
no
203
Sysmiss
1595
Have someone pay you for a good or service
1757
1595
1
2
1
yes
314
2
no
1443
Sysmiss
1595
Store/save for emergencies
1757
1595
1
2
1
yes
636
2
no
1121
Sysmiss
1595
Store/save for other everyday expenses
1757
1595
1
2
1
yes
262
2
no
1495
Sysmiss
1595
Store/save money for unusually large purchases
1757
1595
1
2
1
yes
128
2
no
1629
Sysmiss
1595
Which of these was the most important use of this service?
1756
0
A
134
B
3
C
603
D
786
E
28
F
147
G
48
H
7
Which is the household main source of cash income? 1ST
3352
0
1
10
1
SALE OF FOOD CROPS
961
2
SALE OF LIVESTOCK
49
3
SALE OF LIVESTOCK PRODUCTS
21
4
SALE OF CASH CROPS
241
5
BUSINESS INCOME
905
6
WAGES OR SALARIES IN CASH
945
7
OTHER CASUAL CASH EARNINGS
28
8
CASH REMITTANCES
134
9
fishing
34
10
OTHER (SPECIFY)
34
Which is the household main source of cash income? 2ND
1770
1582
1
10
1
SALE OF FOOD CROPS
301
2
SALE OF LIVESTOCK
132
3
SALE OF LIVESTOCK PRODUCTS
38
4
SALE OF CASH CROPS
92
5
BUSINESS INCOME
441
6
WAGES OR SALARIES IN CASH
386
7
OTHER CASUAL CASH EARNINGS
79
8
CASH REMITTANCES
243
9
fishing
15
10
OTHER (SPECIFY)
43
Sysmiss
1582
What is the total amount of income your household has received in the form of re
3352
0
0
33660000
What is the total amount of income your household has received in the form of pr
3351
1
0
150000000
What is the total amount of income your household has received in the form of ot
3351
1
0
8000000
What was the type of other income that your household received in the last 12 mo
79
3273
1
7
1
SAVINGS, INTEREST OR INVESTMENT
1
2
REAL ESTATE SALES
8
3
NON-AGRICULTURAL ASSET SALES
10
4
AGRICULTURAL/FISHING ASSET SALES
3
5
inheritance
4
6
LOTTERY/GAMBLING
1
7
OTHER (SPECIFY)
52
Sysmiss
3273
What was the type of other income that your household received in the last 12 mo
0
3352
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
3352
What was the type of other income that your household received in the last 12 mo
0
3352
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
3352
Do you or anyone else in your household have a bank account, either with a comme
3351
1
1
2
1
yes
725
2
no
2626
Sysmiss
1
Please list up to 3 institutions with whom you or a member of your household has
725
0
**CONFIDENTIAL**
725
Please list up to 3 institutions with whom you or a member of your household has
168
0
**CONFIDENTIAL**
168
Please list up to 3 institutions with whom you or a member of your household has
36
0
**CONFIDENTIAL**
36
In what year did you open your first bank account?
724
2628
1961
2015
Why do you not have a bank account? 1
2626
726
1
7
1
NO MONEY TO SAVE
2488
2
DO NOT TRUST FINANCIAL INSTITUTIONS
14
3
DIFFICULT TO PRODUCE REQUIRED DOCUMENTATION (ID CARD, ETC)
24
4
USE SOMEONE ELSE'S ACCOUNT
3
5
TOO FAR AWAY
34
6
DON'T WANT TO PAY USERS FEES
20
7
OTHER (SPECIFY)
43
Sysmiss
726
Why do you not have a bank account? 2
101
3251
1
7
1
NO MONEY TO SAVE
7
2
DO NOT TRUST FINANCIAL INSTITUTIONS
16
3
DIFFICULT TO PRODUCE REQUIRED DOCUMENTATION (ID CARD, ETC)
9
4
USE SOMEONE ELSE'S ACCOUNT
2
5
TOO FAR AWAY
54
6
DON'T WANT TO PAY USERS FEES
7
7
OTHER (SPECIFY)
6
Sysmiss
3251
Why do you not have a bank account? 3
5
3347
5
6
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
3
6
DON'T WANT TO PAY USERS FEES
2
7
OTHER (SPECIFY)
0
Sysmiss
3347
Have you or anyone in your household received remittances or financial assistanc
3352
0
1
2
1
yes
1092
2
no
2260
Case Section Roster / Line Occurrence Sequence for O/S Merge
3903
0
1
4
1
3352
2
349
3
136
4
66
Unique Household Identification NPS Y4
3903
0
Source ID
1645
2258
1
4
1
1094
2
349
3
136
4
66
Sysmiss
2258
What is the name of [SOURCE]?
1645
0
**CONFIDENTIAL**
1645
What is the relationship of [SOURCE] to the household head?
1644
2259
1
10
1
spouse
98
2
parent
129
3
daughter
264
4
son
355
5
sister
105
6
brother
173
7
OTHER RELATIVE
276
8
BUSINESS ASSOCIATE
1
9
friend
125
10
OTHER (SPECIFY)
118
Sysmiss
2259
How old is [SOURCE]?
1644
2259
2
540
Sex of [SOURCE]?
1644
2259
1
2
1
male
1062
2
female
582
Sysmiss
2259
What is the highest grade completed by [SOURCE]?
1644
2259
1
46
1
pp
4
2
adult
1
11
D1
1
12
D2
10
13
D3
18
14
D4
38
15
D5
16
16
D6
16
17
D7
816
18
D8
6
19
osc
1
20
MS+COURSE
9
21
F1
3
22
F2
26
23
F3
12
24
F4
249
25
'O'+COURSE
71
31
F5
2
32
F6
35
33
'A'+COURSE
18
34
diploma
30
41
U1
3
42
U2
5
43
U3
54
44
U4
17
45
U5&+
35
46
NO EDUCATION
148
Sysmiss
2259
From what location did [SOURCE] send these remittances?
1645
2258
1
71
1
dodoma
42
2
arusha
95
3
kilimanjaro
64
4
tanga
50
5
morogoro
74
6
pwani
42
7
DAR ES SALAAM
418
8
lindi
44
9
mtwara
74
10
ruvuma
32
11
iringa
71
12
mbeya
65
13
singida
17
14
tabora
39
15
rukwa
25
16
kigoma
26
17
shinyanga
52
18
kagera
67
19
mwanza
104
20
mara
39
21
manyara
17
22
njombe
19
23
katavi
18
24
simiyu
30
25
geita
38
51
KASKAZINI UNGUJA
8
52
KUSINI UNGUJA
2
53
MJINI/MAGHARIBI UNGUJA
23
54
KASKAZINI PEMBA
7
55
KUSINI PEMBA
1
61
usa
6
62
uk
8
63
uae
7
64
SOUTH AFRICA
3
65
japan
0
66
india
0
67
kenya
7
68
uganda
0
69
germany
0
70
canada
1
71
OTHER (SPECIFY)
10
Sysmiss
2258
How long has [SOURCE] lived in his/her present location? (Unit)
1643
2260
1
2
1
months
62
2
years
1581
Sysmiss
2260
How long has [SOURCE] lived in his/her present location? (Number)
1643
2260
0
95
Which of the following remittances channels did [SOURCE] use in the past 12 mont
1644
2259
1
10
1
BANK ACCOUNT
17
2
WESTERN UNION
13
3
moneygram
1
4
POST OFFICE
1
5
FRIENDS/RELATIVES
432
6
M-PESA
422
7
TIGO PESA
5
8
EZY PESA
96
9
AIRTEL MONEY
204
10
OTHER (SPECIFY)
453
Sysmiss
2259
Which of the following remittances channels did [SOURCE] use in the past 12 mont
96
3807
1
10
1
BANK ACCOUNT
1
2
WESTERN UNION
0
3
moneygram
0
4
POST OFFICE
0
5
FRIENDS/RELATIVES
15
6
M-PESA
10
7
TIGO PESA
1
8
EZY PESA
10
9
AIRTEL MONEY
32
10
OTHER (SPECIFY)
27
Sysmiss
3807
Which of the following remittances channels did [SOURCE] use in the past 12 mont
9
3894
5
10
1
BANK ACCOUNT
0
2
WESTERN UNION
0
3
moneygram
0
4
POST OFFICE
0
5
FRIENDS/RELATIVES
1
6
M-PESA
3
7
TIGO PESA
0
8
EZY PESA
1
9
AIRTEL MONEY
1
10
OTHER (SPECIFY)
3
Sysmiss
3894
How much in total did you receive in cash from [SOURCE] during the last 12 month
1644
2259
0
15000000
For what did you or anyone in your household use the cash sent from [SOURCE] in
1392
2511
1
8
1
HOUSEHOLD CONSUMPTION
1164
2
education
59
3
health
81
4
investment
7
5
business
19
6
farming
20
7
ceremony
10
8
OTHER (SPECIFY)
32
Sysmiss
2511
For what did you or anyone in your household use the cash sent from [SOURCE] in
267
3636
1
8
1
HOUSEHOLD CONSUMPTION
32
2
education
72
3
health
118
4
investment
3
5
business
9
6
farming
19
7
ceremony
1
8
OTHER (SPECIFY)
13
Sysmiss
3636
For what did you or anyone in your household use the cash sent from [SOURCE] in
26
3877
1
8
1
HOUSEHOLD CONSUMPTION
1
2
education
4
3
health
15
4
investment
0
5
business
1
6
farming
1
7
ceremony
3
8
OTHER (SPECIFY)
1
Sysmiss
3877
Who in the household decides on the use of thes cash send by [SOURCE] in the las
1391
2512
1
7
1
1228
2
137
3
15
4
5
5
2
6
3
7
1
Sysmiss
2512
Who in the household decides on the use of thes cash send by [SOURCE] in the las
331
3572
0
8
0
4
1
8
2
301
3
8
4
5
7
2
8
3
Sysmiss
3572
What is the total value of all those items which you received in kind in the las
1641
2262
0
3770000
Who in the household decides on the use of the in-kind items sent by [SOURCE] in
755
3148
1
21
1
674
2
63
3
9
4
4
5
1
6
1
8
2
21
1
Sysmiss
3148
Who in the household decides on the use of the in-kind items sent by [SOURCE] in
189
3714
1
6
1
1
2
179
3
3
4
3
5
2
6
1
Sysmiss
3714
Case Section Roster / Line Occurrence Sequence for O/S Merge
56984
0
1
17
1
3352
2
3352
3
3352
4
3352
5
3352
6
3352
7
3352
8
3352
9
3352
10
3352
11
3352
12
3352
13
3352
14
3352
15
3352
16
3352
17
3352
Unique Household Identification NPS Y4
56984
0
Shock ID
56984
0
101
119
101
DROUGHT OR FLOODS
3352
102
CROP DISEASE OR CROP PESTS
3352
103
LIVESTOCK DIED OR WERE STOLEN
3352
104
HOUSEHOLD BUSINESS FAILURE, NON-AGRICULTURAL
3352
105
LOSS OF SALARIED EMPLOYMENT OR NON-PAYMENT OF SALARY
3352
106
LARGE FALL IN SALE PRICES FOR CROPS
3352
107
LARGE RISE IN PRICE OF FOOD
3352
108
LARGE RISE IN AGRICULTURAL INPUT PRICES
3352
109
SEVERE WATER SHORTAGE
3352
110
LOSS OF LAND
3352
111
CHRONIC/SEVERE ILLNESS OR ACCIDENT OF HOUSEHOLD MEMBER
3352
112
DEATH OF A MEMBER OF HOUSEHOLD
3352
113
DEATH OF OTHER FAMILY MEMBER
3352
114
BREAK-UP OF THE HOUSEHOLD
3352
115
jailed
0
116
fire
0
117
HIJACKING/ROBBERY/BURGLARY/ASSAULT
3352
118
DWELLING DAMAGED, DESTROYED
3352
119
OTHER (SPECIFY)
3352
Over the past five years, was your household severely affected negatively by any
56966
18
1
2
1
yes
6797
2
no
50169
Sysmiss
18
Rank the three most significant shocks you experienced
5321
51663
1
3
1
MOST SEVERE
2464
2
SECOND MOST SEVERE
1743
3
THIRD MOST SEVERE
1114
Sysmiss
51663
Did [SHOCK] cause a reduction in household income and/or assets?
5321
51663
1
4
1
INCOME LOSS
3224
2
ASSET LOSS
418
3
LOSS OF BOTH
904
4
neither
775
Sysmiss
51663
What did your household do in response to this [SHOCK] to try to regain your for
5321
51663
1
20
1
RELIED ON OWN-SAVINGS
1197
2
RECEIVED UNCONDITIONAL HELP FROM RELATIVES/FRIENDS
417
3
RECEIVED UNCONDITIONAL HELP FROM GOVERNEMENT
38
5
CHANGED EATING PATTERNS
99
6
EMPLOYED HOUSEHOLD MEMBERS TOOK ON MORE EMPLOYMENT
31
7
ADULT HOUSEHOLD MEMBERS WHO WERE PREVIOUSLY NOT WORKING HAD TO FIND WORK
35
10
OBTAINED CREDIT
20
11
SOLD AGRICULTURAL ASSETS
6
12
SOLD DURABLE ASSETS
3
13
SOLD LAND/BUILDING
4
14
SOLD CROP STOCK
54
15
SOLD LIVESTOCK
55
16
INTENSIFY FISHING
0
18
ENGAGED IN SPIRITUAL EFFORTS
135
19
DID NOT DO ANYTHING
3000
20
OTHER (SPECIFY)
227
Sysmiss
51663
What did your household do in response to this [SHOCK] to try to regain your for
329
56655
1
20
1
RELIED ON OWN-SAVINGS
53
2
RECEIVED UNCONDITIONAL HELP FROM RELATIVES/FRIENDS
135
3
RECEIVED UNCONDITIONAL HELP FROM GOVERNEMENT
1
5
CHANGED EATING PATTERNS
6
6
EMPLOYED HOUSEHOLD MEMBERS TOOK ON MORE EMPLOYMENT
6
7
ADULT HOUSEHOLD MEMBERS WHO WERE PREVIOUSLY NOT WORKING HAD TO FIND WORK
3
10
OBTAINED CREDIT
5
11
SOLD AGRICULTURAL ASSETS
0
12
SOLD DURABLE ASSETS
1
13
SOLD LAND/BUILDING
0
14
SOLD CROP STOCK
54
15
SOLD LIVESTOCK
37
16
INTENSIFY FISHING
0
18
ENGAGED IN SPIRITUAL EFFORTS
6
19
DID NOT DO ANYTHING
17
20
OTHER (SPECIFY)
5
Sysmiss
56655
Case Section Roster / Line Occurrence Sequence for O/S Merge
3357
0
1
2
1
3352
2
5
Unique Household Identification NPS Y4
3357
0
Serial NO
182
0
D1
177
D2
5
Name of deceased
182
0
**CONFIDENTIAL**
182
Relationship to head of household
182
3175
1
10
1
head
14
2
spouse
38
3
CHILD OF HEAD
80
4
NIECE/NEPHEW
1
5
BROTHER/SISTER
5
6
GRANDCHILD OF THE HEAD
12
7
PARENT OF THE HEAD
16
8
OTHER RELATIVE
14
9
servant
0
10
OTHER (SPECIFY)
2
Sysmiss
3175
If this member was present at last survey, enter Y3 HH ID number from tracking f
182
3175
99
99
99
Not present in Y3
182
Sysmiss
3175
Sex
182
3175
1
2
1
male
95
2
female
87
Sysmiss
3175
Was this event registered with the death registration system?
182
3175
1
2
1
yes
104
2
no
78
Sysmiss
3175
Age at Death year
182
3175
0
120
0
51
1
11
2
8
3
5
5
1
6
1
11
2
12
1
15
1
17
1
20
4
22
2
23
3
25
2
27
2
29
1
30
2
32
2
33
1
34
2
35
1
36
1
37
2
39
1
40
6
41
3
42
1
43
1
45
3
46
1
48
4
49
2
50
8
52
1
53
3
54
2
58
1
59
1
60
6
61
1
63
1
64
1
67
1
68
2
70
6
74
2
75
1
76
2
78
1
80
3
84
1
85
3
87
1
94
1
96
1
100
1
115
1
120
1
999
DON'T KNOW
0
Sysmiss
3175
Age at Death month
160
3197
0
99
What kind of work did [NAME] do for most of his/her life?
102
3255
1
14
1
AGRICULTURE/LIVESTOCK
43
2
fishing
5
3
mining
0
4
tourism
0
5
EMPLOYED: GOVERNMENT
8
6
parastatal
0
7
PRIVATE SECTOR
8
8
NGO / RELIGIOUS
0
9
SELF-EMPLOYED(NOT AGRICULTURE):WITH EMPLOYEES
5
10
W/OUT EMPLOYEES
20
11
UNPAID HOUSEHOLD LABOUR
5
12
JOB SEEKERS
0
13
student
2
14
disabled
6
15
NO JOB
0
16
<5 YEARS OLD
0
Sysmiss
3255
Did [NAME] die of old age, an illness, or of some other cause?
182
3175
1
3
1
OLD AGE
6
2
illness
134
3
OTHER CAUSE
42
Sysmiss
3175
What was the non-illness cause of [NAME]'s death?
42
3315
1
7
1
TRAFFIC ACCIDENT
5
2
OTHER ACCIDENT OR INJURY
3
3
CHILDBIRTH OR COMPLICATIONS
16
4
murder
2
5
suicide
0
6
WITCHCRAFT/SORCERY
2
7
OTHER (SPECIFY)
14
Sysmiss
3315
What was the illness that caused [NAME]'s death?
134
3223
1
34
1
malaria
33
2
diarrhea
4
3
vomiting
1
4
flu
0
5
asthma
1
6
headache
1
7
backache
0
8
tb
9
9
diabetes
5
10
STDs
0
11
burn
0
12
fracture
1
13
HIV/AIDS
5
14
EAR/NOSE/THROAT
1
15
typhoid
1
16
poisoning
0
17
dental
0
18
URINATING IS PAINFUL
0
19
MENTAL DISORDER
0
20
STOMACH DISORDER
12
21
PROLONGED WOUND
0
22
SKIN PROBLEM
0
23
PREGNANCY RELATED
4
24
cancer
5
25
LOWER RESPIRATORY
6
26
UPPER RESPIRATORY
1
27
HEART PROBLEM/BP
13
28
UNSPECIFIED LONG TERM ILLNESS
4
29
BILHARZIA/SCHISTOSOMIASIS
0
30
ARTHRITIS/NERVE DISORDER
0
31
rheumatism
1
32
EYE PROBLEM
1
33
witchcraft
1
34
OTHER (SPECIFY)
24
Sysmiss
3223
What was the illness that caused [NAME]'s death?
18
3339
1
34
1
malaria
3
2
diarrhea
2
3
vomiting
1
4
flu
0
5
asthma
0
6
headache
0
7
backache
0
8
tb
0
9
diabetes
1
10
STDs
0
11
burn
0
12
fracture
0
13
HIV/AIDS
0
14
EAR/NOSE/THROAT
0
15
typhoid
1
16
poisoning
0
17
dental
0
18
URINATING IS PAINFUL
0
19
MENTAL DISORDER
0
20
STOMACH DISORDER
2
21
PROLONGED WOUND
1
22
SKIN PROBLEM
0
23
PREGNANCY RELATED
0
24
cancer
1
25
LOWER RESPIRATORY
0
26
UPPER RESPIRATORY
0
27
HEART PROBLEM/BP
2
28
UNSPECIFIED LONG TERM ILLNESS
0
29
BILHARZIA/SCHISTOSOMIASIS
0
30
ARTHRITIS/NERVE DISORDER
0
31
rheumatism
1
32
EYE PROBLEM
0
33
witchcraft
0
34
OTHER (SPECIFY)
3
Sysmiss
3339
For how long was [NAME] suffering from this illness before he/she died? time
134
3223
1
30
For how long was [NAME] suffering from this illness before he/she died? unit
134
3223
1
4
1
day
37
2
week
26
3
months
38
4
years
33
Sysmiss
3223
Was this cause of death diagnosed, or is this only your own perception?
140
3217
1
3
1
MEDICAL DIAGNOSIS
107
2
NON-MEDICAL DIAGNOSIS
11
3
OWN PERCEPTION
22
Sysmiss
3217
After this person died, did you or members of your household lose any land or ot
182
3175
1
2
1
yes
8
2
no
174
Sysmiss
3175
What was the value of the land or assets lost?
8
3349
60000
20000000
Case Section Roster / Line Occurrence Sequence for O/S Merge
3352
0
1
1
1
3352
Unique Household Identification NPS Y4
3352
0
Does anyone in the household cultivate any plot?
3352
0
1
2
1
yes
2066
2
no
1286
Does anyone in the household own a farm plot that they do not cultivate?
3352
0
1
2
1
yes
171
2
no
3181
Did anyone in the household own or cultivate a plot during the long rainy season
3352
0
1
2
1
yes
2087
2
no
1265
Did anyone in the household own or cultivate any plot during the last completed
3352
0
1
2
1
yes
1874
2
no
1478
PROCEED TO AGRICULTURE QUESTIONNAIRE
3352
0
1
2
1
yes
2100
2
no
1252
Did anyone in the household own any livestock during the last 12 months?
3352
0
1
2
1
yes
1368
2
no
1984
Did anyone in this household do any fishing or operate a fish farm in the last 1
3352
0
1
2
1
yes
63
2
no
3289
Did anyone in this household engage in fish trading in the last 12 months?
3352
0
1
2
1
yes
111
2
no
3241
PROCEED TO LIVESTOCK/FISHERY QUESTIONNAIRE?
3352
0
1
2
1
yes
1439
2
no
1913
Which gift did this household receive?
687
2665
1
3
1
HAND HOE
1
2
bednet
9
3
other
677
Sysmiss
2665
Who in the household received the gift?
260
3092
0
98
Case Section Roster / Line Occurrence Sequence for O/S Merge
16285
0
1
33
Unique Household Identification NPS Y4
16285
0
Individual ID
16285
0
1
33
IS [NAME] A WOMAN AGE 15-49?
16230
55
1
2
1
yes
3887
2
no
12343
Sysmiss
55
IS [NAME] OVER AGE 15?
12345
3940
1
2
1
yes
5061
2
no
7284
Sysmiss
3940
Was [NAME] measured?
11151
5134
1
2
1
yes
9297
2
no
1854
Sysmiss
5134
Why not
1854
14431
1
4
1
CURRENTLY NOT HOME
1649
2
TOO ILL
26
3
unwilling
108
4
OTHER (SPECIFY)
71
Sysmiss
14431
Weight
9275
7010
2
687
Height
9275
7010
8.2
1553
Height / length measured with child standing or lying down?
9264
7021
1
2
1
standing
8740
2
LYING DOWN
524
Sysmiss
7021
Is [NAME] 5 years or younger
9304
6981
1
2
1
yes
2901
2
no
6403
Sysmiss
6981
Upper arm circumference
2468
13817
2
77
Case Section Roster / Line Occurrence Sequence for O/S Merge
3352
0
1
1
1
3352
Unique Household Identification NPS y4
3352
0
REFER TO PAGE 2 Q23; DID ANYONE IN THE HOUSEHOLD ENGAGE IN FISHING, FISH TRADING
1364
1988
1
2
1
yes
67
2
no
1297
Sysmiss
1988
During the last 12 months, how many of these months did you , or someone in your
135
3217
1
12
1
7
2
15
3
9
4
12
5
2
6
13
7
1
8
6
9
8
10
5
11
4
12
53
Sysmiss
3217
Have you, or anyone in your household, caught any fish in the last 12 months, ei
136
3216
1
2
1
51
2
85
Sysmiss
3216
Have you, or anyone in your household, engaged in fish trading in the last 12 mo
137
3215
1
2
1
yes
90
2
no
47
Sysmiss
3215
Enumerator: for each species, the amount landed / week should be approximately e
51
3301
1
2
1
YES, the figures matched
42
2
NO, the entries were adjusted
9
Sysmiss
3301
Case Section Roster / Line Occurrence Sequence for O/S Merge
1752
1912
1
7
1
1440
2
224
3
66
4
17
5
3
6
1
7
1
Sysmiss
1912
Unique Household Identification NPS y4
3664
0
Network ID
1083
0
LF01
771
LF02
224
LF03
66
LF04
17
LF05
3
LF06
1
LF07
1
Name of Contact
1083
0
**CONFIDENTIAL**
1083
Network Relationship with HH
1083
2581
1
20
1
relative
36
2
jirani
204
3
gulio
40
4
mnada
57
5
ushirika
162
6
CHAMA WAKULIMA
1
7
SHAMBA KUBWA
0
8
M/BIASHARA BINAFSI
0
9
SOKO KUU
395
10
MKATABA BIASHARA
2
11
ABATTORI/FACTORY
1
12
employer
1
13
RELIGIOUS INSTI.
1
14
BANK (COMMERICAL)
1
15
GROCERY/LOCAL MERCHANT
0
16
MONEY LENDER
149
17
ngo
0
18
AFISA UGANI
0
19
market
0
20
other
33
Sysmiss
2581
Network Location
1083
2581
1
6
1
WITHIN THE VILLAGE
690
2
NEAR THE VILLAGE
287
3
NEAR THE TOWN
60
4
OTHER DISTRICT
31
5
OTHER REGION
11
6
ACROSS THE BORDER
4
Sysmiss
2581
Case Section Roster / Line Occurrence Sequence for O/S Merge
10332
0
1
33
Unique Household Identification NPS y4
10332
0
Individual ID
8417
1915
1
33
Name
8417
0
**CONFIDENTIAL**
8417
Age
8417
1915
0
100
Sex
8417
1915
1
2
1
male
4177
2
female
4240
Sysmiss
1915
MARK WITH 'X' THE RESPONDENT OR RESPONDENTS TO THIS QUESTIONNAIRE
1716
0
X
1716
Case Section Roster / Line Occurrence Sequence for O/S Merge
23798
0
1
16
1
3352
2
1364
3
1363
4
1363
5
1363
6
1363
7
1363
8
1363
9
1363
10
1363
11
1363
12
1363
13
1363
14
1363
15
1363
16
1363
Unique Household Identification NPS y4
23798
0
Livestock Code
21810
1988
1
16
1
bulls
1364
2
cows
1364
3
steers
1363
4
heifers
1363
5
MALE CALVES
1363
6
FEMALE CALVES
1363
7
goats
1363
8
sheep
1363
9
pigs
1363
10
chickens
1363
11
ducks
1363
12
OTHER POULTRY
1363
13
hare
1363
14
donkeys
1363
15
dogs
1363
16
other
1363
Sysmiss
1988
Did this household own any [ANIMAL] in the last 12 months?
21808
1990
1
2
1
yes
4435
2
no
17373
Sysmiss
1990
Number of [ANIMAL] owned at 2 years ago.
4163
19635
0
1470
Number of [ANIMAL] owned 12 months ago.
4164
19634
0
700
How many [ANIMAL] does this household currently own? Indigenous
4072
19726
0
1300
How many [ANIMAL] does this household currently own? Improved / Exotic
3999
19799
0
522
How many [ANIMAL] were born in the past 12 months?
2937
20861
0
428
Have you bought any [ANIMAL] alive in the past 12 months?
4164
19634
1
2
1
yes
715
2
no
3449
Sysmiss
19634
How many [ANIMAL] have you bought alive in the last 12 months?
715
23083
0
700
What was the total value of these purchases?
715
23083
0
3000000
Did you receive any [ANIMAL] as a gift in the last 12 months?
4163
19635
1
2
1
yes
270
2
no
3893
Sysmiss
19635
How many [ANIMAL] did you receive as gifts or payment for some services provided
271
23527
1
40000
From whom did you receive most of these [ANIMAL]?
270
23528
1
3
1
FRIENDS/RELATIVE
258
2
ngo
8
3
OTHER (SPECIFY)
4
Sysmiss
23528
Did you give any [ANIMAL] as gist or payment for some services provided in the l
4163
19635
1
2
1
yes
424
2
no
3739
Sysmiss
19635
How many [ANIMAL] did you give as gift or payment for some services provided in
423
23375
1
15
1
166
2
115
3
51
4
28
5
25
6
12
7
6
8
9
9
2
10
6
12
1
14
1
15
1
Sysmiss
23375
LF02_14
423
23375
1
3
1
FRIEND / RELATIVE
389
2
ngo
14
3
OTHER (SPECIFY)
20
Sysmiss
23375
Have you lost any [ANIMAL] to DISEASE in the past 12 months?
4161
19637
1
2
1
yes
1171
2
no
2990
Sysmiss
19637
How many [ANIMAL] have you lost to DISEASE in the past 12 months?
1171
22627
0
1000
What was the value of these [ANIMAL]s lost to disease?
1171
22627
0
15000000
Have you lost any [ANIMAL] to THEFT in the past 12 months?
4161
19637
1
2
1
yes
271
2
no
3890
Sysmiss
19637
How many [ANIMAL] have you lost to THEFT in the past 12 months?
270
23528
1
131
What was the value of these [ANIMAL]s lost to THEFT?
269
23529
500
2620000
Have you last any [ANIMAL] to INJURY/ACCIDENT/NATURAL CALAMITY in the past 12 mo
4160
19638
1
2
1
yes
727
2
no
3433
Sysmiss
19638
How many [ANIMAL] have you lost to INJURY/ACCIDENT/NATURAL CALAMITY in the past
730
23068
1
93
What was the value of these [ANIMAL] lost to INJURY/ACCIDENT/NATURAL CALAMITY in
729
23069
0
3500000
Have you sold any [ANIMAL] alive in the past 12 months?
4164
19634
1
2
1
yes
1064
2
no
3100
Sysmiss
19634
How many [ANIMAL] have you sold alive in the past 12 months?
1064
22734
1
630
What was the total value of sales?
1064
22734
2000
9000000
Who in your household decided what to do with these earnings? (ID #1)
1063
22735
1
99
Who in your household decided what to do with these earnings? (ID #2)
473
23325
1
11
1
4
2
448
3
11
4
4
6
3
7
2
11
1
Sysmiss
23325
Where did you sell most [ANIMAL] that you sold? (NR ID #1)
1065
0
LF01
892
LF02
140
LF03
26
LF04
6
LF99
1
Where did you sell most [ANIMAL] that you sold? (NR ID #2)
30
0
LF01
1
LF02
23
LF03
5
LF04
1
Did you slaughter any [ANIMAL] in the past 12 months?
4164
19634
1
2
1
yes
1185
2
no
2979
Sysmiss
19634
How many [ANIMAL] did you slaughter in the past 12 months?
1186
22612
1
168
What was the live weight, on average, of the [ANIMAL] that you slaughtered?
1186
22612
0.1
8000
How many of the [ANIMAL] slaughtered did you sell?
1186
22612
0
24
What was the total value of the sold slaughtered [ANIMAL]?
21
23777
20000
1750000
Where did you sell most [ANIMAL] that you slaughtered? (NR ID #1)
22
0
LF01
10
LF02
10
LF03
1
LF99
1
Where did you sell most [ANIMAL] that you slaughtered? (NR ID #2)
0
0
Who in your household decided what to do with these earnings? (ID #1)
21
23777
1
3
1
18
2
2
3
1
Sysmiss
23777
Who in your household decided what to do with these earnings? (ID #2)
13
23785
2
2
2
13
Sysmiss
23785
Case Section Roster / Line Occurrence Sequence for O/S Merge
10167
0
1
6
1
3352
2
1363
3
1363
4
1363
5
1363
6
1363
Unique Household Identification NPS y4
10167
0
Livestock Category Code
8178
1989
1
6
1
LARGE RUMINANTS
1363
2
SMALL RUMINANTS
1363
3
pigs
1363
4
poultry
1363
5
donkeys
1363
6
dogs
1363
Sysmiss
1989
REFER TO SECTION 1, QUESTION 1: DID THE HOUSEHOLD OWN ANY OF THESE TYPES OF ANIM
8178
1989
1
2
1
yes
2761
2
no
5417
Sysmiss
1989
What kind of diseases did [ANIMAL] suffer in the past 12 months? (#1)
2698
7469
1
23
1
BRUCELOSIS (UGONJWA WA KUTUPA MIMBA)
5
2
CBPP (HOMA YA MAPAFU)
107
3
LUMPY SKIN DISEASE (MAPELENGOZI)
62
4
CCPP (HOMA YA MAPAFU KWA MBUZI)
74
5
ECF (NDIGANA KALI)
29
6
RABIES (KICHAA CHA MBWA)
4
7
FMD (UGONWA WA MIGUU NA MIDOMO)
49
8
ANTHRAX (KIMETA)
9
9
BQ (CHAMBAVU)
4
10
NEW CASTLE DISEASE (KIDELI/MDONDO)
614
11
SMALL POX (NDUI)
72
12
GOMBORO (GUMBORO)
17
13
helminthiosis
41
14
ASF (HOMA YA NGURUWE)
5
15
TICK BORNE DISEASE
8
16
typanosomiasis
1
17
FOOT ROT
8
18
tetanus
1
19
mange
7
20
anaemia
2
21
CANINE DISTEMPER
2
22
NOT SICK
1512
23
OTHER (SPECIFY)
65
Sysmiss
7469
What kind of diseases did [ANIMAL] suffer in the past 12 months? (#2)
92
10075
2
23
1
BRUCELOSIS (UGONJWA WA KUTUPA MIMBA)
0
2
CBPP (HOMA YA MAPAFU)
6
3
LUMPY SKIN DISEASE (MAPELENGOZI)
11
4
CCPP (HOMA YA MAPAFU KWA MBUZI)
0
5
ECF (NDIGANA KALI)
6
6
RABIES (KICHAA CHA MBWA)
0
7
FMD (UGONWA WA MIGUU NA MIDOMO)
4
8
ANTHRAX (KIMETA)
3
9
BQ (CHAMBAVU)
1
10
NEW CASTLE DISEASE (KIDELI/MDONDO)
5
11
SMALL POX (NDUI)
29
12
GOMBORO (GUMBORO)
8
13
helminthiosis
5
14
ASF (HOMA YA NGURUWE)
0
15
TICK BORNE DISEASE
1
16
typanosomiasis
0
17
FOOT ROT
2
18
tetanus
0
19
mange
1
20
anaemia
1
21
CANINE DISTEMPER
0
22
NOT SICK
1
23
OTHER (SPECIFY)
8
Sysmiss
10075
What kind of diseases did [ANIMAL] suffer in the past 12 months? (#3)
7
10160
2
22
1
BRUCELOSIS (UGONJWA WA KUTUPA MIMBA)
0
2
CBPP (HOMA YA MAPAFU)
1
3
LUMPY SKIN DISEASE (MAPELENGOZI)
1
4
CCPP (HOMA YA MAPAFU KWA MBUZI)
0
5
ECF (NDIGANA KALI)
0
6
RABIES (KICHAA CHA MBWA)
0
7
FMD (UGONWA WA MIGUU NA MIDOMO)
1
8
ANTHRAX (KIMETA)
0
9
BQ (CHAMBAVU)
1
10
NEW CASTLE DISEASE (KIDELI/MDONDO)
0
11
SMALL POX (NDUI)
1
12
GOMBORO (GUMBORO)
0
13
helminthiosis
0
14
ASF (HOMA YA NGURUWE)
0
15
TICK BORNE DISEASE
0
16
typanosomiasis
0
17
FOOT ROT
1
18
tetanus
0
19
mange
0
20
anaemia
0
21
CANINE DISTEMPER
0
22
NOT SICK
1
23
OTHER (SPECIFY)
0
Sysmiss
10160
What kind of diseases did [ANIMAL] suffer in the past 12 months? (#4)
2
10165
9
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)
0
6
RABIES (KICHAA CHA MBWA)
0
7
FMD (UGONWA WA MIGUU NA MIDOMO)
0
8
ANTHRAX (KIMETA)
0
9
BQ (CHAMBAVU)
1
10
NEW CASTLE DISEASE (KIDELI/MDONDO)
0
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
0
17
FOOT ROT
0
18
tetanus
0
19
mange
0
20
anaemia
0
21
CANINE DISTEMPER
0
22
NOT SICK
1
23
OTHER (SPECIFY)
0
Sysmiss
10165
Did you vaccinate your [ANIMAL] in the past 12 months?
2698
7469
1
3
1
YES, ALL ANIMALS AT LEAST ONCE
661
2
YES, SOME
66
3
no
1971
Sysmiss
7469
Who provided the vaccine (or vaccinated) your [ANIMAL]?
726
9441
1
4
1
PRIVATE CLINIC
244
2
DISTRICT VET CLINIC
240
3
NGO/PROJECT
6
4
OTHER (SPECIFY)
236
Sysmiss
9441
Against which diseases did you vaccinate your [ANIMAL]? (#1)
726
9441
1
14
1
BRUCELOSIS (UGONJWA WA KUTUPA MIMBA)
9
2
CBPP (HOMA YA MAPAFU)
122
3
LUMPY SKIN DISEASE (MAPELENGOZI)
45
4
CCPP (HOMA YA MAPAFU KWA MBUZI)
71
5
ECF (NDIGANA KALI)
44
6
RABIES (KICHAA CHA MBWA)
64
7
FMD (UGONWA WA MIGUU NA MIDOMO)
36
8
ANTHRAX (KIMETA)
31
9
BQ (CHAMBAVU)
5
10
NEW CASTLE DISEASE (KIDELI/MDONDO)
203
11
SMALL POX (NDUI)
26
12
GOMBORO (GUMBORO)
10
13
NOT VACCINATED
20
14
OTHER, SPECIFY
40
Sysmiss
9441
Against which diseases did you vaccinate your [ANIMAL]? (#2)
105
10062
2
14
1
BRUCELOSIS (UGONJWA WA KUTUPA MIMBA)
0
2
CBPP (HOMA YA MAPAFU)
16
3
LUMPY SKIN DISEASE (MAPELENGOZI)
17
4
CCPP (HOMA YA MAPAFU KWA MBUZI)
2
5
ECF (NDIGANA KALI)
11
6
RABIES (KICHAA CHA MBWA)
1
7
FMD (UGONWA WA MIGUU NA MIDOMO)
9
8
ANTHRAX (KIMETA)
9
9
BQ (CHAMBAVU)
3
10
NEW CASTLE DISEASE (KIDELI/MDONDO)
4
11
SMALL POX (NDUI)
19
12
GOMBORO (GUMBORO)
7
13
NOT VACCINATED
2
14
OTHER, SPECIFY
5
Sysmiss
10062
Against which diseases did you vaccinate your [ANIMAL]? (#3)
18
10149
2
14
1
BRUCELOSIS (UGONJWA WA KUTUPA MIMBA)
0
2
CBPP (HOMA YA MAPAFU)
2
3
LUMPY SKIN DISEASE (MAPELENGOZI)
2
4
CCPP (HOMA YA MAPAFU KWA MBUZI)
0
5
ECF (NDIGANA KALI)
7
6
RABIES (KICHAA CHA MBWA)
0
7
FMD (UGONWA WA MIGUU NA MIDOMO)
3
8
ANTHRAX (KIMETA)
1
9
BQ (CHAMBAVU)
1
10
NEW CASTLE DISEASE (KIDELI/MDONDO)
0
11
SMALL POX (NDUI)
0
12
GOMBORO (GUMBORO)
0
13
NOT VACCINATED
1
14
OTHER, SPECIFY
1
Sysmiss
10149
Against which diseases did you vaccinate your [ANIMAL]? (#4)
3
10164
5
8
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)
1
8
ANTHRAX (KIMETA)
1
9
BQ (CHAMBAVU)
0
10
NEW CASTLE DISEASE (KIDELI/MDONDO)
0
11
SMALL POX (NDUI)
0
12
GOMBORO (GUMBORO)
0
13
NOT VACCINATED
0
14
OTHER, SPECIFY
0
Sysmiss
10164
During the last 12 months have you used dewormers on your [ANIMAL]?
2427
7740
1
3
1
YES, ALL ANIMALS AT LEAST ONCE
567
2
YES, SOME
64
3
no
1796
Sysmiss
7740
Who administered the dewormer treatment to your [ANIMAL]?
631
9536
1
4
1
PRIVATE VET CLINIC
194
2
DISTRICT VET CLINIC
93
3
NGO/PROJECT
2
4
OTHER, SPECIFY
342
Sysmiss
9536
During the last 12 months, have you taken any preventative measures for you [ANI
1224
8943
1
3
1
YES, ALL ANIMALS
491
2
YES, SOME ANIMALS
23
3
no
710
Sysmiss
8943
What preventative measures did you take for your [ANIMAL]?
514
9653
1
3
1
DIPPING/DIP TANK
69
2
spraying
437
3
OTHER, SPECIFY
8
Sysmiss
9653
During the last 12 months has your [ANIMAL] been treated against ticks?
1224
8943
1
3
1
YES, ALL ANIMALS
275
2
YES, SOME ANIMALS
31
3
no
918
Sysmiss
8943
Who administered the tick treatment to you [ANIMAL]?
306
9861
1
4
1
PRIVATE VET CLINIC
84
2
DISTRICT VET CLINIC
48
3
NGO/PROJECT
4
4
OTHER, SPECIFY
170
Sysmiss
9861
During the last 12 months has your [ANIMAL] received some curative treatments?
2426
7741
1
3
1
YES, ALL ANIMALS
647
2
YES, SOME ANIMALS
131
3
no
1648
Sysmiss
7741
Who administered the curative treatment to your [ANIMAL]?
781
9386
1
4
1
PRIVATE VET CLINIC
246
2
DISTRICT VET CLINIC
131
3
NGO/PROJECT
6
4
OTHER, SPECIFY
398
Sysmiss
9386
How much did you spend in total on vaccines, treatments and other veterinary cos
2429
7738
0
800000
Case Section Roster / Line Occurrence Sequence for O/S Merge
10147
20
1
6
1
3352
2
1359
3
1359
4
1359
5
1359
6
1359
Sysmiss
20
Unique Household Identification NPS y4
10167
0
Livestock Category Code
8178
1989
1
6
1
LARGE RUMINANTS
1363
2
SMALL RUMINANTS
1363
3
pigs
1363
4
poultry
1363
5
donkeys
1363
6
dogs
1363
Sysmiss
1989
What have been for this household the major feeding practices for [ANIMAL] in th
2431
7736
1
5
1
ONLY GRAZING/SCAVENGING
1686
2
MAINLY GRAZING/SCAVENGING W/ SOME FEEDING
247
3
MAINLY FEEDING W/ SOME GRAZING/SCAVENGING
109
4
ONLY FEEDING (NO GRAZING/SCAVENGING)
272
5
tethering
117
6
OTHER SPECIFY
0
Sysmiss
7736
What have been for this household the major feeding practices for [ANIMAL] in th
34
10133
1
5
1
ONLY GRAZING/SCAVENGING
10
2
MAINLY GRAZING/SCAVENGING W/ SOME FEEDING
6
3
MAINLY FEEDING W/ SOME GRAZING/SCAVENGING
5
4
ONLY FEEDING (NO GRAZING/SCAVENGING)
4
5
tethering
9
6
OTHER SPECIFY
0
Sysmiss
10133
Did you purchase any feed/fodder for your [ANIMAL] in the past 12 months?
2431
7736
1
2
1
yes
434
2
no
1997
Sysmiss
7736
In which months did you purchase feed/fodder? (Jan)
209
0
X
209
In which months did you purchase feed/fodder? (Feb)
195
0
X
195
In which months did you purchase feed/fodder? (Mar)
209
0
X
209
In which months did you purchase feed/fodder? (Apr)
204
0
X
204
In which months did you purchase feed/fodder? (May)
216
0
X
216
In which months did you purchase feed/fodder? (Jun)
239
0
X
239
In which months did you purchase feed/fodder? (Jul)
213
0
X
213
In which months did you purchase feed/fodder? (Aug)
208
0
X
208
In which months did you purchase feed/fodder? (Sep)
199
0
X
199
In which months did you purchase feed/fodder? (Oct)
195
0
X
195
In which months did you purchase feed/fodder? (Nov)
179
0
X
179
In which months did you purchase feed/fodder? (Dec)
178
0
X
178
How much has this household paid to feed the [ANIMAL] in the past 12 months? (TS
435
9732
0
15000000
How frequently, on average, has this household watered [ANIMAL] in the past 12 m
2431
7736
1
6
1
ANIMALS GET ON THEIR OWN FROM AVAILABLE SOURCES
521
2
ONCE A DAY
901
3
TWICE A DAY
333
4
THREE TIMES A DAY
95
5
THROUGHOUT THE DAY
559
6
OTHER (SPECIFY)
22
Sysmiss
7736
What have been the main source of water for [ANIMAL] in the past 12 months? (1st
1911
8256
1
10
1
TAP WATER
450
2
borehole
201
3
dam
72
4
well
459
5
river
293
6
spring
184
7
stream
87
8
CONSTRUCTED WATER POINTS
84
9
RAINWATER HARVESTING
13
10
OTHER, SPECIFY
68
Sysmiss
8256
What have been the main source of water for [ANIMAL] in the past 12 months? (2nd
38
10129
1
10
1
TAP WATER
2
2
borehole
4
3
dam
2
4
well
4
5
river
5
6
spring
2
7
stream
8
8
CONSTRUCTED WATER POINTS
2
9
RAINWATER HARVESTING
8
10
OTHER, SPECIFY
1
Sysmiss
10129
Has this household eve paid to water [ANIMAL] in the past 12 months?
1909
8258
1
2
1
yes
65
2
no
1844
Sysmiss
8258
How much has this household paid to access the main water sources for [ANIMAL] i
72
10095
0
540000
What housing system for [ANIMAL] has this household mainly used in the past 12 m
2431
7736
1
7
1
none
201
2
CONFINED IN SHEDS
1092
3
CONFINED IN PADDOCKS
366
4
CONFINED FENCES
163
5
cage
22
6
basket
5
7
OTHER, SPECIFY
582
Sysmiss
7736
Has this household practices any controlled mating or other breeding strategy fo
2428
7739
1
2
1
yes
668
2
no
1760
Sysmiss
7739
Was have been the main controlled mating or breeding strategies used by this hou
668
9499
1
9
1
none
10
2
NATURAL MATING, SIRE SELECTED FROM WITHIN HERD
404
3
NATURAL MATING, SIRE PURCHASED
16
4
NATURAL MATING, SIRE EXCHANGED
120
5
ARTIFICIAL INSEMMINATION
8
6
DAMN PURCHASED
4
7
DAM EXCHANGED
5
8
NONE, BREEDING MALES CASTRATED
8
9
OTHER, SPECIFY
93
Sysmiss
9499
Was have been the main controlled mating or breeding strategies used by this hou
1
10166
9
9
1
none
0
2
NATURAL MATING, SIRE SELECTED FROM WITHIN HERD
0
3
NATURAL MATING, SIRE PURCHASED
0
4
NATURAL MATING, SIRE EXCHANGED
0
5
ARTIFICIAL INSEMMINATION
0
6
DAMN PURCHASED
0
7
DAM EXCHANGED
0
8
NONE, BREEDING MALES CASTRATED
0
9
OTHER, SPECIFY
1
Sysmiss
10166
Case Section Roster / Line Occurrence Sequence for O/S Merge
10160
0
1
6
1
3352
2
1363
3
1361
4
1362
5
1361
6
1361
Unique Household Identification NPS y4
10160
0
Livestock Category Code
8169
1991
1
6
1
LARGE RUMINANTS
1361
2
SMALL RUMINANTS
1363
3
pigs
1361
4
poultry
1362
5
donkeys
1361
6
dogs
1361
Sysmiss
1991
In principal, who is responsible for keeping [ANIMAL]? (ID #1)
2431
7729
1
16
1
1636
2
644
3
71
4
23
5
19
6
12
7
9
8
5
9
2
10
7
12
1
16
2
Sysmiss
7729
In principal, who is responsible for keeping [ANIMAL]? (ID #2)
1184
8976
1
19
1
39
2
731
3
206
4
87
5
40
6
32
7
16
8
9
9
5
10
5
11
6
12
2
13
1
14
1
19
4
Sysmiss
8976
Who in your household provided labor for feeding/watering of [ANIMAL]? (ID #1)
2431
7729
1
99
1
1151
2
726
3
207
4
91
5
73
6
41
7
16
8
14
9
10
10
16
11
3
12
4
13
2
14
5
16
2
19
2
99
none
68
Sysmiss
7729
Who in your household provided labor for feeding/watering of [ANIMAL]? (ID #2)
1087
9073
1
26
Who in your household provided the labour for selling the animals and animal pro
2431
7729
1
99
1
1241
2
313
3
25
4
15
5
5
6
2
7
3
8
3
10
3
15
1
99
none
820
Sysmiss
7729
Who in your household provided the labour for selling the animals and animal pro
450
9710
1
99
Who in your household mainly provided labour for grazing of [ANIMAL]? (ID #1)
2431
7729
1
99
1
1194
2
636
3
218
4
93
5
79
6
35
7
16
8
12
9
13
10
16
11
2
12
4
13
1
14
4
16
3
26
2
99
none
103
Sysmiss
7729
Who in your household mainly provided labour for grazing of [ANIMAL]? (ID #2)
1131
9029
1
28
Did you hire any labor to help you with the [ANIMAL] in the past 12 months?
2431
7729
1
2
1
yes
125
2
no
2306
Sysmiss
7729
In which months did you hire help? (Jan)
90
0
X
90
In which months did you hire help? (Feb)
94
0
X
94
In which months did you hire help? (Mar)
91
0
X
91
In which months did you hire help? (Apr)
90
0
X
90
In which months did you hire help? (May)
88
0
X
88
In which months did you hire help? (Jun)
84
0
X
84
In which months did you hire help? (Jul)
80
0
X
80
In which months did you hire help? (Aug)
80
0
X
80
In which months did you hire help? (Sep)
80
0
X
80
In which months did you hire help? (Oct)
75
0
X
75
In which months did you hire help? (Nov)
73
0
X
73
In which months did you hire help? (Dec)
70
0
X
70
What was the total cost of this labor for [ANIMAL] in the past 12 months?
125
10035
0
1200000
Case Section Roster / Line Occurrence Sequence for O/S Merge
10167
0
1
6
1
3352
2
1363
3
1363
4
1363
5
1363
6
1363
Unique Household Identification NPS y4
10167
0
Livestock Category Code
8178
1989
1
6
1
LARGE RUMINANTS
1363
2
SMALL RUMINANTS
1363
3
pigs
1363
4
poultry
1363
5
donkeys
1363
6
dogs
1363
Sysmiss
1989
How many [ANIMAL] were milked in the last 12 months?
1132
9035
0
20
0
765
1
150
2
95
3
41
4
25
5
12
6
7
7
8
8
9
9
3
10
5
11
4
12
3
13
1
15
1
18
1
20
2
Sysmiss
9035
How many months on average, were [ANIMAL] milked for?
367
9800
1
12
1
24
2
21
3
46
4
45
5
29
6
68
7
31
8
34
9
16
10
15
11
2
12
36
Sysmiss
9800
What was the average milk production per day per milked [ANIMAL] durning this pe
364
9803
0
1200
During this period in which months was milk production per animal the highest? (
366
9801
1
99
1
january
46
2
february
52
3
march
50
4
april
49
5
may
33
6
june
26
7
july
19
8
august
13
9
september
14
10
october
12
11
november
14
12
december
32
99
6
Sysmiss
9801
During this period in which months was milk production per animal the highest? (
360
9807
0.1
125
During this period in which month was milk production per animal the lowest? (Mo
363
9804
1
99
1
january
19
2
february
18
3
march
20
4
april
26
5
may
41
6
june
48
7
july
46
8
august
30
9
september
39
10
october
32
11
november
15
12
december
17
99
12
Sysmiss
9804
During this period in which month was milk production per animal the lowest? (Li
352
9815
0
50
In general, were your [ANIMAL] suckling during the time the [ANIMAL] were being
365
9802
1
2
1
LIMITED SUCKLING
279
2
UNLIMITED SUCKLING
86
Sysmiss
9802
During this period, how much of the milk produced by [ANIMAL] was consumed by yo
367
9800
0
30
During this period how many litres of [ANIMAL] liquid milk did you sell per day?
353
9814
0
56
During this period, how much of the milk produced by [ANIMAL] did you convert ea
264
9903
0
8
0
249
0.5
1
1
4
2
3
3
3
4
1
6
2
8
1
Sysmiss
9903
How much of this production of processed dairy products did you sell per day?
353
9814
0
60
How much did you earn on average per day from these sales of milk and processed
353
9814
0
50000
Where did you sell most of the milk from [ANIMAL] that you sold? (NR ID #1)
350
0
LF01
44
LF02
30
LF03
13
LF04
4
LF05
1
LF99
258
Where did you sell most of the milk from [ANIMAL] that you sold? (NR ID #2)
26
0
LF02
1
LF03
1
LF99
24
Who in your household decided what to do with these earnings? (ID #1)
331
9836
1
99
Who in your household decided what to do with these earnings? (ID #2)
92
10075
1
99
Case Section Roster / Line Occurrence Sequence for O/S Merge
10167
0
1
6
1
3352
2
1363
3
1363
4
1363
5
1363
6
1363
Unique Household Identification NPS y4
10167
0
Livestock Category Code
8178
1989
1
6
1
LARGE RUMINANTS
1363
2
SMALL RUMINANTS
1363
3
pigs
1363
4
poultry
1363
5
donkeys
1363
6
OTHER ANIMALS
1363
Sysmiss
1989
Has the household made any use of the dung produced by [ANIMAL] in the past 12 m
2430
7737
1
2
1
yes
731
2
no
1699
Sysmiss
7737
What have been the major uses of the dung from [ANIMAL] in the last 12 months? (
729
9438
1
6
1
manure
716
2
COOKING FUEL
2
3
FEED TO OTHER ANIMALS
0
4
CONSTRUCTION OF BUILDING
3
5
sales
5
6
OTHER (SPECIFY)
3
Sysmiss
9438
What have been the major uses of the dung from [ANIMAL] in the last 12 months? (
3
10164
1
1
1
manure
3
2
COOKING FUEL
0
3
FEED TO OTHER ANIMALS
0
4
CONSTRUCTION OF BUILDING
0
5
sales
0
6
OTHER (SPECIFY)
0
Sysmiss
10164
What was the total value of sales of the dung from [ANIMLA] in the last 12 month
7
10160
2000
200000
What was the total quantity of dung produced per month form [ANIMAL] over the la
732
9435
0
21600
What was the total quantity of dung produced per month from [ANIMAL] over the la
715
9452
1
2
1
kg
714
2
liter
1
Sysmiss
9452
Has the household used any of its [ANIMAL] for its own transportation in the pas
534
9633
1
2
1
yes
105
2
no
429
Sysmiss
9633
Has this household used any of its [ANIMAL] for ploughing its own field in the p
534
9633
1
2
1
yes
263
2
no
271
Sysmiss
9633
Case Section Roster / Line Occurrence Sequence for O/S Merge
6077
0
1
3
1
3352
2
1363
3
1362
Unique Household Identification NPS y4
6077
0
Product Code
4086
1991
1
3
1
eggs
1363
2
honey
1361
3
SKIN / HIDES
1362
4
other
0
Sysmiss
1991
Did your household produce any [PRODUCT] in the last 12 months?
4086
1991
1
2
1
yes
1135
2
no
2951
Sysmiss
1991
During the last 12 months, for how many months did your household produce any [P
1135
4942
1
12
1
162
2
259
3
413
4
142
5
36
6
57
7
12
8
19
9
6
10
2
11
1
12
26
Sysmiss
4942
During these months, what was the average quantity of [PRODUCT] produced per mon
1135
4942
1
4500
During these months, what was the average quantity of [PRODUCT] produced per mon
1135
4942
1
3
1
litres
55
2
KGs
24
3
pieces
1056
Sysmiss
4942
Did you sell any of the [PRODUCT] that you produced in the last 12 months?
1135
4942
1
2
1
yes
167
2
no
968
Sysmiss
4942
How much of the [PRODUCT] produced did you sell in the last 12 months? (Quantity
167
5910
1
49500
How much of the [PRODUCT] produced did you sell in the last 12 months? (Unit)
167
5910
1
3
1
litres
8
2
KGs
13
3
pieces
146
Sysmiss
5910
What was the total value of sales of [PRODUCT] in the last 12 months?
167
5910
400
9900000
Where did you sell most [PRODUCT] that you sold? (NR ID #1)
167
0
LF01
88
LF02
44
LF03
22
LF04
9
LF05
2
LF06
1
LF07
1
Where did you sell most [PRODUCT] that you sold? (NR ID #2)
4
0
LF02
3
LF03
1
Who in your household decided what to do with these earnings? (ID #1)
167
5910
1
6
1
132
2
29
3
2
4
2
5
1
6
1
Sysmiss
5910
Who in your household decided what to do with these earnings? (ID #2)
51
6026
1
11
1
1
2
49
11
1
Sysmiss
6026
Case Section Roster / Line Occurrence Sequence for O/S Merge
3387
0
1
5
1
3352
2
27
3
6
4
1
5
1
Unique Household Identification NPS y4
3387
0
Please list the members of your household who were involved in fishing during th
171
3216
1
17
1
102
2
48
3
9
4
4
5
2
6
1
10
2
11
2
17
1
Sysmiss
3216
How many total weeks was [NAME] a fisher during the last 12 months?
167
3220
0
52
During those weeks, approximately how many days did [NAME] fish?
167
3220
0
7
0
95
2
8
3
10
4
6
5
11
6
18
7
19
Sysmiss
3220
During those days, approximately how many hours did [NAME] fish?
167
3220
0
28
How many total weeks did [NAME] engage in fish processing during the last 12 mon
167
3220
0
52
During those weeks, approximately how many days per week did [NAME] process fish
167
3220
0
7
0
117
2
3
3
7
4
6
5
8
6
16
7
10
Sysmiss
3220
During those days, approximately how many hours per day did [NAME] process fish?
167
3220
0
28
How many total weeks did [NAME] engage in fish trading during the last 12 months
165
3222
0
52
During those weeks, approximately how many days per week did [NAME] trade fish?
165
3222
0
7
0
57
1
4
2
8
3
9
4
15
5
9
6
23
7
40
Sysmiss
3222
During those days, approximately how many hours per day did [NAME] trade fish?
165
3222
0
20
0
57
2
8
3
11
4
7
5
14
6
15
7
5
8
14
9
5
10
9
11
3
12
13
13
1
15
1
20
2
Sysmiss
3222
Case Section Roster / Line Occurrence Sequence for O/S Merge
5107
0
1
14
1
3352
2
135
3
135
4
135
5
135
6
135
7
135
8
135
9
135
10
135
11
135
12
135
13
135
14
135
Unique Household Identification NPS y4
5107
0
Gear ID
1889
3218
1
14
1
USIPA(MOSQUITO)NET
135
2
KAMBUZI(BEACH)SEINE
135
3
MBEDZA(LONG /HAND LINE)
135
4
MBUKA/NTAYA/UKONDE (GILLNET)
135
5
MONO(FISH TRAPS)
135
6
CHAVI / KOKORO (CASTNET)
135
7
MADEMA (LARGE FISH TRAP)
135
8
MTANBO WA USIKO (NETWORK OF SMALL NETS)
135
9
BWATO (DUGOUT)
135
10
PLANKBOAT
135
11
MASHUA (OUTBOARD ENGINE)
135
12
NGALAWA (TWIN-HULL BOAT)
135
13
OTHER, (SPECIFY #1)
135
14
OTHER, (SPECIFY #2)
134
Sysmiss
3218
Did any household member involved in fishing activities during the last 12 month
1889
3218
1
2
1
yes
114
2
no
1775
Sysmiss
3218
How many [FISHING GEAR] were operated during the last 12 months?
114
4993
0
2400
For how many weeks in the last 12 months did you use/operate [FISHING GEAR]?
114
4993
1
52
How many [FISHING GEAR] are owned by your household?
114
4993
0
2400
If you or any household member engaged in fishing had to purchase a [FISHING GEA
114
4993
0
9000000
How many units of [FISHING GEAR] did you or any member of your household purchas
114
4993
0
2400
What were the toal costs of fuel,oil and maintenance per week for [FISHING GEAR]
36
5071
0
500000
How much did your household pay to rent [GEAR] for use in the last 12 months?
114
4993
0
750000
Case Section Roster / Line Occurrence Sequence for O/S Merge
4972
0
1
13
1
3352
2
135
3
135
4
135
5
135
6
135
7
135
8
135
9
135
10
135
11
135
12
135
13
135
Unique Household Identification NPS y4
4972
0
Input ID
1755
3217
1
13
1
taxes
135
2
licenses
135
3
AUCTION FEES
135
4
OTHER FEES (IE MARKET, ETC)
135
5
wicks
135
6
RENT FOR STORAGE
135
7
transportation
135
8
buoys
135
9
THREAD FOR NET SEWING
135
10
BEESWAX / SEALANT (KARAFAT)
135
11
LUBRICANT/OIL (MAFUTA)
135
12
CHICKEN WIRE (CHA CHA)
135
13
OTHER, (SPECIFY)
135
Sysmiss
3217
Did you purchase any of the following items during the last 12 months?
1755
3217
1
2
1
yes
108
2
no
1647
Sysmiss
3217
What were the total costs during the last 12 months? (TSH)
108
4864
4
500000
What were the total costs during the last 12 months? (Unit)
107
4865
1
4
1
day
24
2
week
8
3
season
26
4
year
49
Sysmiss
4865
Case Section Roster / Line Occurrence Sequence for O/S Merge
3419
0
1
5
1
3352
2
34
3
21
4
7
5
5
Unique Household Identification NPS y4
3419
0
Fish Caught ID
109
3310
1
5
1
47
2
32
3
19
4
6
5
5
Sysmiss
3310
Please list up to five main species of fish that you or any member of your house
118
0
CHAA
1
CHAFI
2
CHANGU
12
CHANGUDOA
1
CHELEMA
1
CHEWA
1
DAGAA
11
FURU
1
HOLOMBWE
1
JODARI
2
JONGOO
1
KAA
1
KAMBA
1
KAMBALE
8
KAMBARE
1
KAMONGO
1
KANGAJA
1
KEKENA
1
KITOGA
2
KOANA
2
KOLEKOLE
2
KUHE
1
MAKALAMBIS
1
MBELELE
1
MBETE
1
MDUNJI
1
MIBANGA
1
MIDUNJI
1
MIGEBUKA
4
MIKULA
1
MKIZI
1
MPALI
1
MPWEZA
1
NDUMI
1
NGEGE
1
NGELE
2
NGISI
1
NGOGOGO
1
NGURU
1
PEREGE
7
PONO
2
PWEZA
8
ROBA
1
SAMSULI
1
SANGARA
6
SARADINI
1
SATO
4
TAA
1
TASI
6
VIBONDE
1
VIBUA
1
VITOGA
2
VITUI
1
Please list up to five main species of fish that you or any member of your house
118
3301
1
33
1
chafi
2
2
changu
13
3
chewa
1
4
dagaa
11
5
DAMU DAMU
0
6
kamba
1
7
kambale
10
8
kolekole
2
9
lupapa
0
10
lupumba
0
11
migebuka
4
12
mkizi
1
13
mkundaji
1
14
mumi
0
15
nguru
1
16
jodari
2
17
kitoga
3
18
kamongo
1
19
papa
0
20
perege
7
21
pono
2
22
pweza
9
23
sangara
5
24
sato
4
25
sehewa
0
26
tasi
6
27
vibua
1
28
KANDA/ GADAYO
0
29
hongwe
0
30
kalmamba
0
31
chaa
1
32
kaka
1
33
OTHER (SPECIFY)
29
Sysmiss
3301
Where do you mainly fish for [FISH/SPECIES]? (Location)
118
0
BAHARI
51
BAHARI YA HINDI
3
BAHARINI
9
BWAWA LA NYUMBA Y
3
KILOMBERO
5
MTO
2
MTO PANGANI
7
NYUMBA YA MUNGU
2
ZIWA
6
ZIWA BURIGI
1
ZIWA NYASA
9
ZIWA TANGANYIKA
3
ZIWA VICTORIA
15
ZIWANI
2
Where do you mainly fish for [FISH/SPECIES]? (Code)
118
3301
1
10
1
ocean
63
2
LAKE VICTORIA
15
3
LAKE NYASA
10
4
LAKE TANGANYIKA
10
5
LAKE RUKWA
0
6
SMALLER LAKE
1
7
RESEVOIR/ DAM
5
8
POND (NATURAL)
0
9
POND (ARTIFICIAL)
0
10
river
14
11
stream
0
12
OTHER (SPECIFY)
0
Sysmiss
3301
What method of sihing did you use to catch [FISH SPECIES] in the last 12 months?
118
3301
1
6
1
HOOK FISHING
52
2
TRAWLING NET FISHING
4
3
STATIONARY NET FISHING
42
4
UZIO FISHING
0
5
OVERNIGHT FISHING TRAP
1
6
OTHER (SPECIFY)
19
Sysmiss
3301
How much [FISH SPECIES] did you, other members of your household and/or any hire
118
3301
1
999
How much [FISH SPECIES] did you, other members of your household and/or any hire
118
3301
1
9
1
kipande
27
2
DOZEN/BUNDLE
2
3
kilogram
54
4
5 KG BAG
1
5
10 KG BAG
1
6
25 KG BAG
0
7
SMALL BASKET
0
8
LARGE BASKET
3
9
OTHER (SPECIFY)
30
Sysmiss
3301
How much [FISH SPECIES] did you and/or other members of your household preserve
115
3304
0
3840
How much [FISH SPECIES] did you and/or other members of your household preserve
17
3402
1
9
1
piece
3
2
dozen
0
3
kilogram
9
4
5 KG BAG
0
5
10 KG BAG
0
6
25 KG BAG
0
7
SMALL BASKET
0
8
LARGE BASKET
1
9
OTHER (SPECIFY)
4
Sysmiss
3402
How much [FISH SPECIES] did you and/or other members of your household preserve
17
3402
1
5
1
fresh
15
2
SUN-DRIED
0
3
smoked
0
4
iced
0
5
OTHER (SPECIFY)
2
Sysmiss
3402
How much [FISH SPECIES] did you and/or other members of your household preserve
35
3384
0
120
How much [FISH SPECIES] did you and/or other members of your household preserve
3
3416
3
9
1
piece
0
2
DOZEN/BUNDLE
0
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
1
9
OTHER (SPECIFY)
1
Sysmiss
3416
How much [FISH SPECIES] did you and/or other members of your household preserve
3
3416
2
3
1
fresh
0
2
SUN-DRIED
2
3
smoked
1
4
iced
0
5
OTHER (SPECIFY)
0
Sysmiss
3416
How many weeks have you or any member your household landed [FISH SPECIES] durin
118
3301
1
52
How much [FISH SPECIES] did you, other members of your household and/or any hire
118
3301
0
800
How much [FISH SPECIES] did you, other members of your household and/or any hire
118
3301
1
9
1
piece
17
2
DOZEN/BUNDLE
2
3
kilogram
67
4
5 KG BAG
0
5
10 KG BAG
0
6
25 KG BAG
0
7
SMALL BASKET
0
8
LARGE BASKET
3
9
OTHER (SPECIFY)
29
Sysmiss
3301
How many weeks have you or any member your household processed (smoked, dried, f
118
3301
0
48
How much [FISH SPECIES] did you and/or other members of your household preserve
116
3303
0
1065
How much [FISH SPECIES] did you and/or other members of your household preserve
11
3408
1
8
1
piece
6
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
1
9
OTHER (SPECIFY)
0
Sysmiss
3408
How much [FISH SPECIES] did you and/or other members of your household preserve
11
3408
1
2
1
fresh
10
2
SUN-DRIED
1
3
smoked
0
4
iced
0
5
OTHER (SPECIFY)
0
Sysmiss
3408
How much [FISH SPECIES] did you and/or other members of your household preserve
19
3400
0
42
How much [FISH SPECIES] did you and/or other members of your household preserve
1
3418
3
3
1
piece
0
2
DOZEN/BUNDLE
0
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
3418
How much [FISH SPECIES] did you and/or other members of your household preserve
1
3418
3
3
1
fresh
0
2
SUN-DRIED
0
3
smoked
1
4
iced
0
5
OTHER (SPECIFY)
0
Sysmiss
3418
For how many weeks did you sell [FISH SPECIES] during the last 12 months?
118
3301
0
52
How much [FISH SPECIES] did you and/or other members of your household sell on a
117
3302
0
1000
How much [FISH SPECIES] did you and/or other members of your household sell on a
111
3308
1
9
1
piece
15
2
DOZEN/BUNDLE
2
3
kilogram
63
4
5 KG BAG
0
5
10 KG BAG
0
6
25 KG BAG
0
7
SMALL BASKET
0
8
LARGE BASKET
4
9
OTHER (SPECIFY)
27
Sysmiss
3308
How much [FISH SPECIES] did you and/or other members of your household sell on a
111
3308
1
2
1
fresh
109
2
SUN-DRIED
2
3
smoked
0
4
iced
0
5
OTHER (SPECIFY)
0
Sysmiss
3308
How much [FISH SPECIES] did you and/or other members of your household sell on a
116
3303
0
900000
How much [FISH SPECIES] did you and/or other members of your household sell on a
15
3404
0
42
How much [FISH SPECIES] did you and/or other members of your household sell on a
2
3417
3
8
1
piece
0
2
DOZEN/BUNDLE
0
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
1
9
OTHER (SPECIFY)
0
Sysmiss
3417
How much [FISH SPECIES] did you and/or other members of your household sell on a
2
3417
2
3
1
fresh
0
2
SUN-DRIED
1
3
smoked
1
4
iced
0
5
OTHER (SPECIFY)
0
Sysmiss
3417
How much [FISH SPECIES] did you and/or other members of your household sell on a
1
3418
18000
18000
18000
1
Sysmiss
3418
How much [FISH SPECIES] caught by you and/or members of your household during th
117
3302
0
100
How much [FISH SPECIES] caught by you and/or members of your household during th
89
3330
1
9
1
piece
15
2
DOZEN/BUNDLE
7
3
kilogram
60
4
5 KG BAG
1
5
10 KG BAG
0
6
25 KG BAG
0
7
SMALL BASKET
0
8
LARGE BASKET
1
9
OTHER (SPECIFY)
5
Sysmiss
3330
How much [FISH SPECIES] caught by you and/or members of your household during th
89
3330
1
5
1
fresh
81
2
SUN-DRIED
4
3
smoked
1
4
iced
0
5
OTHER (SPECIFY)
3
Sysmiss
3330
How much [FISH SPECIES] caught by you and/or members of your household during th
23
3396
0
50
How much [FISH SPECIES] caught by you and/or members of your household during th
2
3417
3
3
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
3417
How much [FISH SPECIES] caught by you and/or members of your household during th
2
3417
2
2
1
fresh
0
2
SUN-DRIED
2
3
smoked
0
4
iced
0
5
OTHER (SPECIFY)
0
Sysmiss
3417
Overall, during the last 12 months, what share of the total [FISH SPECIES] catch
116
3303
1
5
1
ALMOST NONE
77
2
1/4
26
3
1/2
5
4
3/4
3
5
ALMOST ALL
5
Sysmiss
3303
Case Section Roster / Line Occurrence Sequence for O/S Merge
3394
0
1
5
1
3352
2
19
3
13
4
6
5
4
Unique Household Identification NPS y4
3394
0
Fish Traded ID
132
3262
1
5
1
90
2
19
3
13
4
6
5
4
Sysmiss
3262
Please list up to five main species of fish that you or any member of your house
132
0
BULA
1
BUNGU
1
CHANGU
6
DAGAA
51
FULU
1
FURU
1
GEGE
2
JODARI
1
KAMBA
2
KAMBALE
11
KAMONGO
2
KANADI
1
KOLEKOLE
2
MAGEGE
1
MBUFU
1
MIGEBUKA
5
MKUNDAJI
1
MZILA
1
NDIPI
2
NGURU
1
NJENGA
1
PAPA
1
PEREGE
7
PONO
2
PWEZA
1
SALADINI
1
SANGARA
15
SATO
2
SEHEWA
1
TASI
4
VIBUA
3
Please list up to five main species of fish that you or any member of your house
132
3262
2
33
1
chafi
0
2
changu
6
3
chewa
1
4
dagaa
50
5
DAMU DAMU
0
6
kamba
2
7
kambale
11
8
kolekole
2
9
lupapa
0
10
lupumba
0
11
migebuka
5
12
mkizi
0
13
mkundaji
1
14
mumi
0
15
nguru
1
16
jodari
1
17
kitoga
0
18
kamongo
2
19
papa
1
20
perege
7
21
pono
2
22
pweza
1
23
sangara
15
24
sato
2
25
sehewa
1
26
tasi
4
27
vibua
3
28
KANDA/ GADAYO
0
29
hongwe
0
30
kalmamba
0
31
chaa
0
32
kaka
0
33
OTHER (SPECIFY)
14
Sysmiss
3262
During the last 12 months, how much [FISH SPECIES] did you or any member of your
132
3262
1
1040
During the last 12 months, how much [FISH SPECIES] did you or any member of your
131
3263
1
9
1
piece
15
2
DOZEN/BUNDLE
9
3
kilogram
46
4
5 KG BAG
4
5
10 KG BAG
8
6
25 KG BAG
4
7
SMALL BASKET
5
8
LARGE BASKET
11
9
OTHER(SPECIFY)
29
Sysmiss
3263
During the last 12 months, how much [FISH SPECIES] did you or any member of your
132
3262
1
5
1
fresh
86
2
SUN-DRIED
33
3
smoked
4
4
iced
0
5
OTHER (SPECIFY)
9
Sysmiss
3262
During the last 12 months, how much [FISH SPECIES] did you or any member of your
132
3262
1000
3600000
During the last 12 months, how much [FISH SPECIES] did you or any member of your
2
3392
0
0
0
2
Sysmiss
3392
During the last 12 months, how much [FISH SPECIES] did you or any member of your
0
3394
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
3394
During the last 12 months, how much [FISH SPECIES] did you or any member of your
0
3394
1
fresh
0
2
SUN-DRIED
0
3
smoked
0
4
iced
0
5
OTHER (SPECIFY)
0
Sysmiss
3394
During the last 12 months, how much [FISH SPECIES] did you or any member of your
0
3394
Sysmiss
3394
During the last 12 months, how much [FISH SPECIES] did you or any member of sell
130
3264
1
1040
During the last 12 months, how much [FISH SPECIES] did you or any member of sell
130
3264
1
9
1
piece
18
2
DOZEN/BUNDLE
8
3
kilogram
47
4
5 KG BAG
4
5
10 KG BAG
7
6
25 KG BAG
4
7
SMALL BASKET
6
8
LARGE BASKET
8
9
OTHER(SPECIFY)
28
Sysmiss
3264
During the last 12 months, how much [FISH SPECIES] did you or any member of sell
131
3263
1
5
1
fresh
40
2
SUN-DRIED
42
3
smoked
7
4
iced
0
5
OTHER (SPECIFY)
42
Sysmiss
3263
During the last 12 months, how much [FISH SPECIES] did you or any member of sell
131
3263
1300
5200000
During the last 12 months, how much [FISH SPECIES] did you or any member of sell
3
3391
0
120
During the last 12 months, how much [FISH SPECIES] did you or any member of sell
1
3393
3
3
1
piece
0
2
DOZEN/BUNDLE
0
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
3393
During the last 12 months, how much [FISH SPECIES] did you or any member of sell
1
3393
2
2
1
fresh
0
2
SUN-DRIED
1
3
smoked
0
4
iced
0
5
OTHER (SPECIFY)
0
Sysmiss
3393
During the last 12 months, how much [FISH SPECIES] did you or any member of sell
1
3393
300000
300000
300000
1
Sysmiss
3393
Case Section Roster / Line Occurrence Sequence for O/S Merge
3817
0
1
6
1
3352
2
93
3
93
4
93
5
93
6
93
Unique Household Identification NPS y4
3817
0
Cost ID
558
3259
1
6
1
HIRED LABOUR
93
2
transport
93
3
packaging
93
4
ice
93
5
tax
93
6
OTHER (SPECIFY)
93
Sysmiss
3259
Did your household have any costs for [COST ITEM] in relation to your fish tradi
534
3283
1
2
1
yes
73
2
no
461
Sysmiss
3283
How much did your household have to pay for [COST ITEM] on a weekly basis during
73
3744
500
880000
Case Section Roster / Line Occurrence Sequence for O/S Merge
3352
0
1
1
1
3352
Unique Household Identification NPS y4
3352
0
Region Code
1443
1909
1
55
1
dodoma
41
2
arusha
62
3
kilimanjaro
84
4
tanga
69
5
morogoro
43
6
pwani
26
7
DAR ES SALAAM
72
8
lindi
29
9
mtwara
59
10
ruvuma
27
11
iringa
38
12
mbeya
67
13
singida
39
14
tabora
92
15
rukwa
15
16
kigoma
56
17
shinyanga
82
18
kagera
107
19
mwanza
91
20
mara
64
21
manyara
38
22
njombe
26
23
katavi
24
24
simiyu
90
25
geita
54
51
KASKAZINI UNGUJA
13
52
KUSINI UNGUJA
6
53
MJINI/MAGHARIBI UNGUJA
10
54
KASKAZINI PEMBA
14
55
KUSINI PEMBA
5
Sysmiss
1909
Region Name
1443
0
ARUSHA
62
DAR ES SALAAM
72
DODOMA
41
GEITA
54
IRINGA
38
KAGERA
107
KASKAZINI PEMBA
14
KASKAZINI UNGUJA
13
KATAVI
24
KIGOMA
56
KILIMANJARO
84
KUSINI PEMBA
5
KUSINI UNGUJA
6
LINDI
29
MANYARA
38
MARA
64
MBEYA
67
MJINI MAGHARIBI
10
MOROGORO
43
MTWARA
59
MWANZA
91
NJOMBE
26
PWANI
26
RUKWA
15
RUVUMA
27
SHINYANGA
82
SIMIYU
90
SINGIDA
39
TABORA
92
TANGA
69
District Code
1439
1913
1
9
1
301
2
260
3
247
4
220
5
160
6
108
7
109
8
30
9
4
Sysmiss
1913
District Name
1439
0
ARUSHA
15
ARUSHA MJINI
3
BABATI
8
BABATI MJI
1
BAGAMOYO
9
BAHI
5
BARIADI
24
BIHARAMULO
6
BUHIGWE
11
BUKOBA
16
BUKOBA MANISPAA
4
BUKOMBE
9
BUNDA
11
BUSEGA
11
BUTIAMA
7
CHAKE CHAKE
1
CHAMWINO
5
CHATO
10
CHEMBA
4
CHUNYA
6
DODOMA MJINI
8
GAIRO
5
GEITA
20
HAI
14
HANANG
15
HANDENI
5
IGUNGA
16
IKUNGI
8
ILALA
24
ILEJE
5
ILEMELA MANISPAA
4
IRINGA
11
IRINGA MANISPAA
5
ITILIMA
13
KAHAMA
30
KAHAMA MJI
9
KAKONKO
4
KALAMBO
3
KALIUA
16
KARAGWE
20
KARATU
7
KASKAZINI A
6
KASKAZINI B
7
KASULU
4
KASULU MJI
8
KATI
5
KIBAHA MJI
2
KIBONDO
6
KIGOMA
8
KIGOMA MANISPAA
4
KILINDI
13
KILOLO
6
KILOMBERO
6
KILOSA
7
KILWA
5
KINONDONI
27
KISARAWE
6
KISHAPU
13
KITETO
5
KONDOA
7
KONGWA
8
KOROGWE
12
KUSINI
1
KWIMBA
23
KYELA
4
KYERWA
18
LINDI
9
LINDI MANISPAA
1
LIWALE
6
LONGIDO
8
LUDEWA
8
LUSHOTO
24
MAFINGA MJI
1
MAGHARIBI
9
MAGU
9
MANYONI
11
MASASI
10
MASASI MJI
4
MASWA
22
MBARALI
18
MBEYA
4
MBEYA JIJI
4
MBINGA
7
MBOGWE
8
MBOZI
13
MBULU
9
MEATU
20
MERU
13
MICHEWENI
8
MISSENYI
7
MISUNGWI
14
MKALAMA
8
MKOANI
4
MKURANGA
3
MLELE
17
MOMBA
4
MONDULI
8
MOROGORO
4
MOROGORO MANISPAA
4
MOSHI
26
MOSHI MANISPAA
1
MPANDA
7
MPWAPWA
4
MTWARA MANISPAA
1
MTWARA VIJIJINI
17
MUFINDI
15
MUHEZA
5
MULEBA
27
MUSOMA
8
MUSOMA MANISPAA
4
MVOMERO
7
MWANGA
12
NACHINGWEA
5
NAMTUMBO
2
NANYUMBU
6
NEWALA
7
NGARA
9
NGORONGORO
8
NJOMBE
7
NJOMBE MJI
2
NKASI
6
NYAMAGANA MANISPAA
4
NYANG'HWALE
7
NYASA
8
NZEGA
25
PANGANI
6
ROMBO
13
RORYA
16
RUANGWA
3
RUFIJI
6
RUNGWE
9
SAME
11
SENGEREMA
19
SERENGETI
14
SHINYANGA MANISPAA
7
SIHA
7
SIKONGE
8
SINGIDA
8
SINGIDA MJINI
4
SINYANGA
23
SONGEA
2
SONGEA MANISPAA
4
SUMBAWANGA
3
SUMBAWANGA MANISPAA
3
TABORA MANISPAA
3
TANDAHIMBA
13
TANGA
4
TARIME
4
TEMEKE
20
TUNDURU
4
UKEREWE
17
ULANGA
10
URAMBO
8
UVINZA
11
UYUI
16
WANG'ING'OMBE
9
WETE
6
Ward Code
1443
1909
11
421
Ward Name
1443
0
AYASANDA
8
BADI
6
BAGARA
1
BAHI
5
BALANGIDALALU
7
BARAY
7
BISHEKE
3
BOMA
1
BOMA MBUZI
1
BOMBAMBILI
1
BUGARAMA
3
BUKABWA
5
BUKANDA
5
BUKENE
8
BUKOLI
4
BULEMEJI
7
BULIGE
8
BUPANDWA
7
BUSINDE
5
BUSOLWA
7
BUSONGO
8
BUSUNZU
6
BUTELANKUZI
5
BUYAGU
6
BUZA
3
BUZIKU
7
CHAMAZI
1
CHAMBO
7
CHARAMBE
2
CHEJU
3
CHIKUYU
7
CHOMA
5
CHUINI
1
DAKAMA
8
DIRMA
8
DONGE MTAMBILE
1
ENGIKARET
8
ENGUSERO
5
G/MBOTO
2
GAIRO
5
GAMBOSI
6
GILYA
7
GOBA
1
GUA
6
HOMBOLO
4
IBUMU
3
IDAHINA
6
IDUO
8
IFAKARA
3
IFUNDA
4
IGAMBA
7
IGOMA
2
IGOWEKO
5
IGULWA
1
IHAHI
6
IKOMA
8
IKUNGUIGAZI
8
IKUTI
5
ILAGALA
3
ILEMBA
3
ILOLA
7
ILOLANGURU
3
ILULA
6
IRAGUA
4
ISAMILO
2
ISELAMAGAZI
8
ISHUNJU
7
ISINGIRO
8
ITAKA
6
ITIGI MAJENGO
1
JANGALO
4
KABITA
11
KABUKU
5
KAGERA
4
KAGERANKANDA
3
KAGONGO
3
KAGU
6
KAGUNGA
5
KALANGALALA
2
KAMSEKWA
6
KAMUNYONGE
4
KANAZI
4
KANONI
6
KARANSI
7
KAREMA
3
KASANDA
4
KASANGA
4
KASHAI
4
KASHARUNGA
7
KASULO
3
KASULU MJINI
5
KATOKE
6
KATORO
10
KAYANGA
2
KEMAMBO
4
KENYAMONTA
7
KIBAONI
8
KIBENI
2
KIBOGWA
4
KIBUTA
6
KICHIWA
7
KIDUGALA
6
KIGOMANI
1
KIGWA
6
KIHOROGOTA
7
KIJITONYAMA
1
KIKEO
7
KILELEMA
5
KILOLE
8
KILOLELI
2
KIMARA
1
KIMBE
7
KINDI
4
KING'ORI
8
KINGOLWIRA
2
KINYIKANI
1
KIPAWA
1
KIRANDO
6
KIRANJERANJE
1
KIROGO
8
KIRUA VUNJO MAGHARIBI
7
KIRURUMA
4
KIRWA KENI
8
KISAUNI
2
KISESA
1
KISIMA
4
KITANGA
1
KITERE
5
KITOMONDO
3
KITUNDA
2
KIVINJESINGINO
1
KIWALANI
1
KIWANGWA
1
KIWANJA/NDEGE
2
KIWAWA
3
KIZIMBANI
3
KIZIMKAZI MKUNGUNI
1
KOLANDOTO
7
KUNDUCHI
2
KWAGUNDA
7
KWEKIVU
6
KWEMBE
3
LANG'ATA
7
LIGERA
2
LIGOMA
1
LIKUNJA
3
LIMBANI
1
LIWALE "B"
6
LUGELELE
7
LUKOKODA
4
LUPINGU
8
LWEZERA
4
MACHAME KASKAZINI
7
MACHAME WERUWERU
7
MAFUFUNI
5
MAGAMBA KWALUKONGE
5
MAGOMENI
3
MAHEGE
6
MAHURUNGA
5
MAJIMOTO
4
MAJOHE
6
MAKUMBUSHO
1
MAKURUMLA
1
MALATU
3
MAMBA KASKAZINI
7
MAMBALI
8
MANCHALI
5
MANDEWA
4
MANYONI
3
MANZESE
1
MASANGA
5
MATEKA
3
MATEMA
4
MBAGALA KUU
2
MBEZI
1
MBINGA MJINI
2
MBONDO
3
MBURAHATI
1
MBUYUNI
2
MBWENI
1
MBWEWE
5
MCHINGA
2
MCHULUKA
3
MGAGAO
5
MICHENJELE
5
MIGANGA
8
MIGATO
8
MIKUMBI
1
MIKUMI
7
MIMA
4
MINEPA
6
MINYUGHE
8
MIRWA
2
MIYOMBWENI
5
MKAKO
5
MKALAMO
3
MKATALENI
1
MKUNYA
1
MKWAWA
5
MKWITI
4
MLINGULA
2
MNADANI
2
MOGA
1
MOITA
8
MOLE
6
MOSONGO
7
MPANDANDOGO
4
MPINDIMBI
3
MPINJI
7
MSANGA MKUU
7
MSIGANI
5
MTAMBILE
1
MTENDENI
3
MTIPWILI
8
MTO PEPO
1
MTONI
1
MTONI KIDATU
1
MTUA
2
MTWANGO
6
MTYANGIMBOLE
2
MUAMBE
1
MUDIDA
8
MUGANZA
3
MUHUGI
5
MUNANILA
6
MURUSAGAMBA
2
MWAKILYAMBITI
7
MWAKISANDU
5
MWAMABANZA
8
MWAMALOLE
7
MWAMAPALALA
5
MWAMASHIMBA
8
MWANDETI
8
MWANGOYE
6
MWEMBENKOSWE
3
MWEMBESONGO
2
MWENA
6
MWENDAKULIMA
6
MZIMUNI
2
NAKAHAKO
4
NAKATUNGURU
4
NAMBISI
8
NANDETE
2
NANGOMBA
4
NDURUMA
8
NERUMA
8
NGUDU
4
NGULILO
5
NGUVUMALI
4
NKINDWABIYE
6
NKOMA
8
NKWENDA
5
NSALALA
4
NSHAMBA
5
NUNGWI
2
NYAKASASA
6
NYAKATO
7
NYAMUSWA
3
NYANDEKWA
6
NYANSHA
3
NYANTAKARA
4
NYASA
1
NYASUBI
3
NYENGEDI
4
NYOLOLO
5
NZOKA
4
NZOVWE
4
OLASITI
2
OLD SUMBAWANGA
3
OLDONYOSAMBU
7
OLE
1
PANGANI MAGHARIBI
3
PASIANSI
2
PEMBAMNAZI
7
PICHA YA NDEGE
2
PUGU
6
RAMADHANI
2
RANGWI
8
RUGU
8
RUHANGA
6
RUNAZI
2
RUNZEWE MAGHARIBI
8
SAJA
3
SALE
8
SANDALI
1
SANU BARAY
1
SARANGA
5
SASU
8
SEELA SING'ISI
5
SEGEREA
1
SEKE-BUGORO
7
SELEM
3
SERYA
7
SHAMIANI
2
SHANGANI
1
SHUMBA MJINI
3
SHUNGI
1
SOKON I
1
SOMANDA
5
SONGWA
1
SONI
8
SUGUTI
8
SUMA
4
SUMVE
6
TABATA
5
TANDALE
1
TARAKEA- MOTAMBURU
5
TINGI
3
TOANGOMA
2
TOMONDO
1
TONDOONI
3
TONGI
6
TUMBE MASHARIKI
2
TUNDUNI
2
UKUMBI
3
ULOWA
6
UPUGE
7
URU KUSINI
8
USSOKE
8
UTENDE
8
UVINZA
8
VIJIBWENI
1
WAZO
1
WELEZO
1
ZIRAI
5
ZUGIMLOLE
2
Village / Enumeration Area Code
1443
1909
1
329
Village / Enumeration Area Name
1439
0
ALI MAUA B
1
AMANI MAKOLO
1
AMANI MAKORO
1
ASAO
8
BANDABICHI
1
BANGULO
6
BONGA
8
BUCHELA 'A'
5
BUGAYAMBELELE
4
BUHARE
5
BUHEKELA
5
BULINDA
4
BULUGALILA
5
BUNYAGONGO
5
BUSAMBILO
1
BUSAMBILO [NINDO]
1
BUSAMBILO[NINDO]
1
BUSIAMHYA
2
BUSIAMPYA
1
BUSIYAMHYA
3
BUSONGO
8
BUSULE
7
BUYARAMBE
8
BUZIGU
5
BUZURUGA KUSINI
2
CHABUGONGE
5
CHANG'OMBE
12
CHANGALA
1
CHIGALA
6
CHIGOTO
7
CHIULU
4
CHUMYA
1
CHUNYA
2
DUGHAI
8
DUMI
2
ELIMU
7
EMBALWA
8
EMBARARUAI
8
GAMBANI
3
GOSI
7
GUA
3
GUA D
3
HALULALO
4
HALULAYO
1
HHAYGHAFA
8
HINDAGI
3
IBAMBULA
1
IBUMBA
6
IGOMBE
4
IGONAMBOGO/SOLEKI
1
IGONDA
5
IGWATA
8
IHEGE
3
IKOLA
7
IKULLI/KWAMBEGA
1
IKULU/KWA MBEGA
1
IKULU/KWAMBEGA
1
IKUTI
2
IKUTI/LUMBE
1
ILALA
5
ILUNDE
8
ILUNGU B
5
IMALAMIHAYO
8
ISAMBALA
4
ISAMILO KASKAZINI 'B'
2
ISELAMAGAZI
1
ITAKA
5
ITAKA MJINI
1
ITAMBA
4
ITAMBA A
1
ITONJAMOTO
1
ITUNDULU
6
ITURU
8
IVANGWA
4
IYOGELO
1
IZUNYA
1
IZUNYA,LUGAKA
5
IZUNYA/LUGAKA
1
JILINGU
7
KAARO
5
KABANTU
4
KAIBALE
8
KAKUKURU
2
KALAMBO
3
KALOLENI
2
KALUNDE
6
KAMSEKWA
1
KANENGELO
7
KANINDO
4
KANINDO/DUMA
1
KANYAMWANJA
6
KARAKANA
3
KARANSI
7
KAREMA
1
KASHALU
7
KASHENYE
4
KASISI
3
KASKAZINI 'A'
2
KASULO
3
KATANDA
2
KATANINI
4
KAWEKAMO
8
KAYANGA VIJIJINI
2
KAYENZE 'A'
2
KAYENZE A
2
KAZA MWENDO
1
KAZAMWENDO
6
KAZIMOTO
8
KIBONDEMAJI B
1
KIBONDENI
1
KICHANGANI
1
KICHIWA
1
KIDOMA MLIMANI
3
KIDUDO
7
KIFILYA 'A' NYASHIMBA
2
KIFILYA 'A'/ NYASHIMBA
2
KIFILYA A/NYASHIMBA
2
KIGILAGILA
1
KIHONDA MBUYUNI
2
KIHOROGOTA
2
KIKONOKA
1
KIKUNGUNI MBUYUNI
2
KILAGANO
3
KILALA 'A'
1
KILALA A
2
KILIDU
5
KILIMAHEWA
1
KILIMAHEWA "B"
1
KILIMAHEWA B
1
KILIMANI
1
KILIMMAHEWA B
1
KILOLELI
2
KILOLENI
5
KILOMBELO
2
KILOMBERO
1
KILOMETA
1
KILOMETA/ZAHANATI
4
KILUNGULE
1
KIMBUGU
1
KINYIKANI
1
KIONWA
8
KIPANGANI
1
KIPANGE
3
KISANGA
1
KISIMA
4
KISIWANI
7
KISUTU
3
KITANDA
1
KITANGIRI,NYANGUKU
5
KITANGIRI/NYANGUKU
1
KITARAMANKA
1
KITUNGURU
5
KITUPA
4
KIUNGANI MSIKITINI
2
KIYANGU'A'
1
KIYUNGI MADUKANI
7
KOKOBO
3
KOLILA
8
KOLUGULU"A",MKAMBAMBA"A"
1
KOLUGULU'A'/MKAMBALA'A'
1
KONGOWE
2
KOROGWE
3
KOTELA MAGHARIBI
7
KUKITARAMANKA
1
KUMNAZI
6
KUMNYIKA
5
KWA TUMBO
1
KWAHEMA
1
KWAMAGEMBE
1
KWAMBWELA
1
KWAMWANAJABIRI
5
KWEDITANO
4
KWEDITANO/KWAMAGEMBE
2
KWEKEA
8
KWELUSHWEGA
2
KWELUSHWEGA&MTIMULE
1
KWELUSHWEGA/MTIMULE
1
KWELUSHWEGE&MTIMULE
1
LEGEZA MWENDO
2
LEGEZAMWENDO
1
LIKUMBO
4
LIPUTU
1
LOKORO
5
LONGONI
8
LUBUGU
6
LUGURUNI
3
LWENGE
2
MAASA CHINI
1
MAASA JUU
2
MACHINJIONI
1
MADUGHA
6
MAENDELEO/MIEMBENI
1
MAFURIKO
4
MAFURIKO A
1
MAGENGENI
1
MAGEREZA
3
MAGEREZA/NGOMA
1
MAGUNKUNE
8
MAHENGE
7
MAHIDA
1
MAHINA
1
MAJANI MAPANA
1
MAJANI MAPANA C
3
MAJIMBIKANI
3
MAJITA ROAD
4
MAKAKA 'A'
3
MAKAKA 'A' & 'B'
1
MAKAKA 'A' &'B'
1
MAKAKA 'A' NA MAKAKA 'B'
1
MAKAKA 'B'
2
MAKAO MAPYA
1
MAKILI "B"
4
MAKILI 'B'
1
MAKOLE JUU
1
MAKUKA KUSINI
1
MAKULI 'B'
1
MAKUNDUSHI&MANAENAENI
6
MALAMBA MAWILI
5
MAMULI
2
MANAENAENI
1
MANDELA
2
MANDELEO/MIEMBENI
1
MANGA
2
MAPINDUZI
4
MASALALI 'A'
3
MASHETE
3
MASHINE YA MAJI
3
MASJID NURU
1
MATANKINI
1
MATARAWE
2
MATEKA'A'
3
MATOSA
1
MAVURUNZA
1
MBASA
1
MBOGWA
6
MBOZANI
2
MBWANGA
2
MBWEMKURU KASKAZINI
1
MBWENI
1
MCHANGALA
1
MCHOTIKE
3
MCHULUKA
1
MDUNDWA & VISUMBI
6
MERIKEBU
1
MGOLI
1
MGONANGHOLONGO
4
MGONGENI
2
MIANZINI
2
MIEMBENI
1
MIEMBENI/MAENDELEO
1
MIEMBENI/MINAZINI
2
MIFURUNI
5
MIHALE
6
MILE
2
MILUMBA
3
MINAZINI
1
MIREMERE
4
MIREMIRE
1
MIRUMBA
5
MISAKE
4
MISUFINI
7
MITEMA
4
MIVINJENI
1
MJI MWEMA
3
MJI MWEMA/NANJESE
1
MJIMWEMA
9
MJIMWEMA/NANJESE
3
MKAMBALA & KOLUGULU A
1
MKAMBALA"A",KOLUGULU"A"
1
MKAMBALA&KOLUGULU A
1
MKAPA
2
MKEHA
3
MKESE
4
MKIMA
6
MKINGA
3
MKOMBWE
1
MKWINDA
1
MKWITI
4
MLABANI A
3
MLIMANI
2
MLOMBOJI
7
MOGO
1
MOMOKA
3
MOROGO CENTRE
1
MOROGO SENTA
2
MPANDANJE
4
MPATA
4
MSANGA MKUU
1
MSANGA MKUU B
6
MSASANI
3
MSELELO
4
MSHIKAMANO
1
MSIMBAZI
5
MSUFINI
2
MTAKUJA
15
MTAMBANI
1
MTIMULE
3
MUHIDA
5
MUKITOMA
2
MUNDULI
1
MUREGEE
1
MUROGO SENTA
1
MURUGEE
7
MURUMBA
1
MUSASA 'A'
8
MUUNGANO
6
MUYOBOZI
3
MVAE
8
MWABASABI
4
MWABAYANDA
7
MWALUMA
6
MWAMAKINGI
5
MWANAGHALAJA
1
MWANANYAMALA
3
MWANDA
2
MWANDULU
1
MWANG'HALAJA
1
MWANGHALAJA
6
MWANKALI
6
MWANKOLI
1
MWASOLAGE
7
MWEMBE MKALI
1
MYOMBO
7
MZINGA
2
NACHIKUKWE
6
NAMBA 5 '5'
1
NAMBA 5"B"
3
NAMBA 5'B'
1
NAMBA"5"
1
NAMTAMBALALA
4
NAWAMBA
3
NDANYELA
4
NDEBESII
7
NDITU
1
NDUNDUKE
1
NG'HUNDI
5
NG'OWO
1
NG'WANG'WEGWE
1
NG'WANG'WEGWE MATUKUTU
2
NG'WANG'WEGWE MTUKUTU
1
NG'WANG'WEGWE, MATUKUTU
1
NGARAMTONI CHINI
2
NGEMBAMBILI B&C
1
NGEMBAMBILIB/NGEMBAMBILIC
1
NGONGWA
6
NGONYA
4
NGUDU MJINI
4
NGUGUMBALO
1
NHC
1
NHUNGULU
6
NINDI JUU
8
NINDO
5
NJUCHA
7
NKINGA
1
NKINGA KATI
5
NKOMBOLA
5
NKUBA 'A'
4
NO2 KAMSEKWA
1
NSANGA
2
NSITONY
5
NTAALE
6
NYAKABANGA
5
NYAKABOJA
6
NYAKAZOMBE
2
NYAKAZOMBE/IKULU
3
NYAMALEBE
3
NYAMISEBEI 'A'
3
NYAMISEMBEI 'A'
1
NYAMONGO
8
NYAMOSO
7
NYANDEKWA
1
NYARUTABWE MAGHARIBI
6
NYASHIMBA 'B'
5
NYEBURU
6
NYEGELEU/KIBONG'O
4
NYEGEREU/KIBONG'O
2
NYUMBA ZA STARLING A
1
NYUNGUU
1
NZASA B
1
OMUKASHASHA
7
OYSTERBAY
2
PASIANSI JUU
2
PICHA YA NDEGE
2
POSTA
7
PUNA
8
PWANI
1
RAMADHANI
2
RUHITA
1
RUHOKO 'A'
5
RUHOKO A
1
RUVU
2
RWENZIGE
7
SABASABA
1
SAGALA
5
SAJA
1
SAJA KATI
2
SANU BARAY
1
SEGEREA
1
SHAURIMOYO
2
SHINDENI
8
SHINGA
8
SHIRINGA
2
SHULENI
15
SOGEA
1
SOKOINE
12
SOKONI
9
SOLEKI
1
SONGAMBELE
16
STOPOVER
5
SUGE
7
SURA
7
TANDIKA
1
TANKINI,MAPINDUZI,LEGEZA
1
TEGETA PWANI
1
TEMBO
8
TONDOONI
3
TUBUYU
2
TUMBIKO
1
TUMBILI
7
TUMBULI
1
TUNDUME
3
TUNGAMAA
1
TUPENDANE
2
TURIANI&MAKOLE JUU
4
UDUMUKA
1
UGANDA
1
UHAMIAJI
1
UKOMBOZI
5
ULONGONI
2
UMBINI
2
USOLEKI
1
UZI
1
VIKONGE
4
ZASHE
1
ZIWANI
2
Kitongoji or MTAA name
3352
0
**CONFIDENTIAL**
3352
Household Code
1434
1918
1000
8967
Name of household head
3352
0
**CONFIDENTIAL**
3352
Name of household head from NPS year 3
3352
0
**CONFIDENTIAL**
3352
Full household identification from NPS year 3
0
0
ROSTER ID OF THE MAIN RESPONDENT OF THE LIVESTOCK QUESTIONNAIRE
1434
1918
1
99
Name of enumerator
3352
0
**CONFIDENTIAL**
3352
Enumerator code
1434
1918
1
84
Time interview start - HR
1434
1918
1
12
1
2
2
2
3
20
4
35
5
104
6
319
7
342
8
299
9
173
10
84
11
45
12
9
Sysmiss
1918
Time interview start - MIN
1434
1918
0
59
Date of interview
1434
1918
1032015
37012015
Name of field supervisor
3352
0
**CONFIDENTIAL**
3352
Field supervisor code
1432
1920
1
80
Date of questionnaire inspection
1432
1920
1022015
31122014
Name of data entry clerk
3352
0
**CONFIDENTIAL**
3352
Data entry clerk code
1437
1915
10
80
Date of data entry
1437
1915
20005
20347
2ND Data entry clerk code
0
3352
Sysmiss
3352
Date of 2ND data entry
0
3352
Sysmiss
3352
DID ANYONE IN THE HOUSEHOLD OWN ANY LIVESTOCK IN THE LAST 12 MONTHS?
1434
1918
1
2
1
yes
1364
2
no
70
Sysmiss
1918
DID ANYONE IN THE HOUSEHOLD ENGAGE IN FISHING IN THE LAST 12 MONTHS?
1434
1918
1
2
1
yes
136
2
no
1298
Sysmiss
1918
Observations on the interview
1430
1922
1
2
1
yes
1310
2
no
120
Sysmiss
1922
Unique Household Identification NPS Y4
2772
0
Individual ID
2772
0
2
33
Age (months)
2772
0
0
59
Z-scores Weight-for-Age
2416
356
0
3
0
SEVERE (Z<-3)
71
1
MODERATE (Z<-2)
236
2
MILD (Z<-1)
636
3
healthy
1473
Sysmiss
356
Z-scores Height-for-Age
2411
361
0
3
0
SEVERE (Z<-3)
316
1
MODERATE (Z<-2)
477
2
MILD (Z<-1)
649
3
healthy
969
Sysmiss
361
Z-scores Weight-for-Height
2406
366
0
3
0
SEVERE (Z<-3)
38
1
MODERATE (Z<-2)
81
2
MILD (Z<-1)
291
3
healthy
1996
Sysmiss
366
Underweight (status)
2416
356
0
1
0
NOT UNDERWEIGHT
2109
1
underweight
307
Sysmiss
356
Stunted (status)
2411
361
0
1
0
NOT STUNTED
1618
1
stunted
793
Sysmiss
361
Wasted (status)
2406
366
0
1
0
NOT WASTED
2287
1
wasted
119
Sysmiss
366
clusterid
419
0
10112101001
550227101002
Ward Type
419
0
1
3
1
rural
212
2
urban
131
3
mixed
76
Cluster Type
419
0
1
2
1
rural
248
2
urban
171
Modified Cluster Centroid GPS (Latitude)
419
0
-11.349
-1.117
Modified Cluster Centroid GPS (Longitude)
419
0
29.604
40.279
Unique Household Identification NPS y4
3360
0
Row ID
144
3216
1
5
1
136
2
5
3
1
4
1
5
1
Sysmiss
3216
How many fishing men and/or children did you hire during the last 12 months? (Nu
138
3222
0
26
How many fishing men and/or children did you hire during the last 12 months? (Nu
138
3222
0
52
How many fishing men and/or children did you hire during the last 12 months? (Nu
138
3222
0
1
0
137
1
1
Sysmiss
3222
How many fishing men and/or children did you hire during the last 12 months? (Nu
138
3222
0
52
Did you pay these workers a fixed wage?
18
3342
1
2
1
YES
10
2
NO
8
Sysmiss
3342
What was each of the workers paid per week? (Adult TSH / Adult/Week)
10
3350
1000
40000
What was each of the workers paid per week? (Child TSH / Child/Week)
10
3350
0
0
0
10
Sysmiss
3350
As part of the renumeration for hired workers, did you pay these hired workers w
18
3342
1
2
1
YES
13
2
NO
5
Sysmiss
3342
On average per week, what quantity of fish did you pay to each hired workers dur
13
3347
1
52
On average per week, what quantity of fish did you pay to each hired workers dur
13
3347
1
3
1
PIECE
2
2
DOZEN / BUNDLE
4
3
KILOGRAM
7
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
3347
On average per week, what quantity of fish did you pay to each hired workers dur
13
3347
0
5
0
12
5
1
Sysmiss
3347
On average per week, what quantity of fish did you pay to each hired workers dur
11
3349
0
9
0
9
1
PIECE
0
2
DOZEN / BUNDLE
0
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)
1
Sysmiss
3349
As part of the renumeration for hired workers, did you pay these hired workers w
18
3342
1
2
1
YES
6
2
NO
12
Sysmiss
3342
On average per week, how much cash as part of the boat revenue did you pay to ea
6
3354
21000
60000
On average per week, how much cash as part of the boat revenue did you pay to ea
6
3354
0
15000
During the last 12 months, did you pay the hired workers any other in-kind benef
18
3342
0
22500
During the last 12 months, did you pay the hired workers any other in-kind benef
17
3343
0
27000
Unique Household Identification NPS Y4
3344
0
Food and non-alcoholic beverages: inside and outside, annual, nominal
3344
0
0
29293550
Alcohol and tobacco: inside and outside, annual, nominal
3344
0
0
7280000
Food, beverages, alcohol and tobacco: inside, annual, nominal
3344
0
0
19725940
Food, beverages, alcohol and tobacco: outside, annual, nominal
3344
0
0
21320000
Utilities: water, kerosene, lighting, annual, nominal
3344
0
0
3000000
Furnishings and household expenses, annual, nominal
3344
0
0
1786000
Health, annual, nominal
3344
0
0
10400000
Transportation, annual, nominal
3344
0
0
11120000
Communications, annual, nominal
3344
0
0
3600000
Recreation, annual, nominal
3344
0
0
950000
Education, annual, nominal
3344
0
0
9232000
Other consumption, annual, nominal
3344
0
0
2724000
Total consumption, annual, nominal
3344
0
68800
54397752
Fisher, base NPS4, comparison NPS4 by area and quarter
3344
0
0.851
1.197
Food and non-alcoholic beverages: inside and outside, annual, real
3344
0
0
24468586
Alcohol and tobacco: inside and outside, annual, real
3344
0
0
6226667
Food, beverages, alcohol and tobacco: inside, annual, real
3344
0
0
21179410
Food, beverages, alcohol and tobacco: outside, annual, real
3344
0
0
17808366
Utilities: water, kerosene, lighting, annual, real
3344
0
0
2991290
Furnishings and household expenses, annual, real
3344
0
0
1639516.625
Health, annual, real
3344
0
0
8687008
Transportation, annual, real
3344
0
0
10207965
Communications, annual, real
3344
0
0
3589548
Recreation, annual, real
3344
0
0
968820.25
Education, annual, real
3344
0
0
9369300
Other consumption, annual, real
3344
0
0
2275327.75
Total consumption, annual, real
3344
0
67945.07
45437856
cluster
3344
0
10112101376
550227083264
strata
3344
0
1
4
1
552
2
542
3
1770
4
480
Sampling weights, y4_weight
3344
0
112.68
8999.028
Region Code
3344
0
1
55
1
DODOMA
72
2
ARUSHA
88
3
KILIMANJARO
128
4
TANGA
96
5
MOROGORO
111
6
PWANI
71
7
DAR ES SALAAM
552
8
LINDI
87
9
MTWARA
144
10
RUVUMA
71
11
IRINGA
88
12
MBEYA
112
13
SINGIDA
56
14
TABORA
144
15
RUKWA
40
16
KIGOMA
112
17
SHINYANGA
112
18
KAGERA
174
19
MWANZA
144
20
MARA
88
21
MANYARA
64
22
NJOMBE
47
23
KATAVI
56
24
SIMIYU
119
25
GEITA
88
51
KASKAZINI UNGUJA
56
52
KUSINI UNGUJA
24
53
MJINI/MAGHARIBI UNGUJA
272
54
KASKAZINI PEMBA
72
55
KUSINI PEMBA
56
District Code
3344
0
1
9
1
982
2
702
3
566
4
359
5
303
6
200
7
176
8
48
9
8
Ward Code
3344
0
11
421
Village Code
3344
0
1
24
Village / Enumeration Area Code
3344
0
1
350
Month
3344
0
1
12
1
October 2014
280
2
November
272
3
December
282
4
January
376
5
February
275
6
March
195
7
April
249
8
May
366
9
June
283
10
July
382
11
August
345
12
September 2015
39
Quarter of fieldwork
3344
0
1
4
1
Oct-Dec 2014
834
2
Jan-Mar 2015
846
3
Apr-Jun 2015
898
4
Jul-Sep 2015
766
Urban or Rural areas
3344
0
1
2
1
Rural
2090
2
Urban
1254
Mainland or Zanzibar
3344
0
1
2
1
Mainland
2864
2
Zanzibar
480
Female headed household
3344
0
0
1
0
2389
1
955
Household size
3344
0
1
33
Adult-equivalents in the household
3344
0
0.72
23.24
Year of interview
3344
0
2014
2015
2014
834
2015
2510
Month of interview
3344
0
1
12
1
376
2
275
3
195
4
249
5
366
6
283
7
382
8
345
9
39
10
280
11
272
12
282