DDI_TZA_2004_KHDS_v01_M
2010-06-29
NADA
Version 0.1 (June 2010).
Kagera Health and Development Survey 2004 (Wave 5 Panel)
KHDS 2004
TZA_2004_KHDS_v01_M
Economic Development Initiatives
Kathleen Beegle
Joachim De Weerdt
Stefan Dercon
Christopher Ksoll
Flora Kessy
Godlike Koda
George Lwihula
Gideon Kwesigabo
Phare Mujinja
Innocent Semali
NADA
Danish Agency for Development Assistance
Knowledge for Change Trust Fund at the World Bank
LSMS Data Manager
Living Standards Measurement Study [hh/lsms]
Waves 1 to 4 of the Kagera Health and Development Survey were implemented in 1991-1994.
- Wave 1 September 1991 - May 1992
- Wave 2 April 1992 - November 1992
- Wave 3 November 1992 - May 1993
- Wave 4 June 1993 - January 1994
A national LSMS survey was implemented in 1993.
The Kagera Health and Development Survey 2004 (KHDS 2004) took place in 2004 as a fifth round following on the four rounds of the baseline Kagera Health and Development Survey 1991-1994 (KHDS 91-94). The KHDS 2004 was designed to provide data to understand economic mobility and changes in living standards of the sample of individuals interviewed 10-13 years ago. The KHDS 2004 attempted to reinterview all respondents ever interviewed in the KHDS 91-94. This entailed attempting to track these individuals, even if they had moved out of the village, region or country.
Tanzania
Kagera region of Tanzania
Domains: Agronomic zone (Tree Crop, Riverine, Annual Crop, Urban)
- Households
- Individuals
- Community
Sample survey data [ssd]
Household Questionnaire
Section 0 Basic Survey information
Section 1 Household Roster
Section 2 Previous Children Residing Elsewhere
Section 3 Main Activities of the Household
Section 4 Information on Parents
Section 5 Education
Section 6 Health
Section 7 Activities and Non-Labor Income
Section 8 Individual Expenditures
Section 9 Migration
Section 10 Shocks Experienced in the Past 10 Years
Section 11 Farming
Section 11 Agriculture
Section 12 Livestock
Section 13 Non-Farm Self-Employment
Section 14 Housing
Section 15 Durable Goods, Expenditures, Inheritance, and Bride Price
Section 16 Food Consumption and Expenditures
Section 17 Informal Organizations, Ability to Cope, Assistance from Organizations
Section 18 Gifts and Loans Received/Sent
Separate Form Anthropometry
Separate Form Mortality of Previous Household Members
Community Questionnaire
GPS coordinates
Section 0 Selecting respondents
Section 1 Demographic information
Section 2 Economy and Infrastructure
Section 3 Education
Section 4 Health
Section 5 Agriculture
Section 6 Culture
Section 7 Shocks in the past 10 years
Price Questionnaire
GPS coordinates
Part I Food Prices
Part II Pharmaceutical Prices
Part III Non-Food Prices
School Questionnaire
Part A School characteristics, enrollment and fees
Part B Text books, Standard 7 completion, number of teachers employed and assistance or contributions
Sample size is 900 households
KHDS 91-94 Household Sample: First Stage
The KHDS 91-94 household sample was drawn in two stages, with stratification based on geography in the first stage and mortality risk in both stages. A more detailed overview of the sampling procedures is outlined in "User’s Guide to the Kagera Health and Development Survey Datasets." (World Bank, 2004).
In the first stage of selecting the sample, the 550 primary sampling units (PSUs) in Kagera region were classified according to eight strata defined over four agronomic zones and, within each zone, the level of adult mortality (high and low). A PSU is a geographical area delineated by the 1988 Tanzanian Census that usually corresponds to a community or, in the case of a town, to a neighborhood. Enumeration areas of households were drawn randomly from the PSUs in each stratum, with a probability of selection proportional to the size of the PSU.
Within each agronomic zone, PSUs were classified according to the level of adult mortality. The 1988 Tanzanian Census asked a 15 percent sample of households about recent adult deaths. Those answers were aggregated at the level of the "ward", which is an administrative area that is smaller than a district. The adult mortality rate (ages 15-50) was calculated for each ward and each PSU was assigned the mortality rate of its ward.
Because the adult mortality rates were much higher in some zones than others and the distribution was quite different within zones, "high" and "low" mortality PSUs were defined relative to other PSUs within the same zone. A PSU was allocated to the "high" mortality category if its ward adult mortality rate was at the 90th percentile or higher of the ward adult mortality rates within a given agronomic zone.
The KHDS 1991-1994 selected 51 communities as primary sampling units (also referred to as enumeration areas or clusters). In actuality, 2 pairs of enumeration areas were within the same community (in the sense of collecting community data on infrastructure, prices or schools). This, for community-level surveys, there are 49 areas to interview.
KHDS 91-94 Household Sample: Second Stage
The household selection at the second stage (with enumeration areas) was a stratified random sample. That is, households expected to experience an adult death were over-sampled. In order to stratify the population, an enumeration of all households was undertaken. Between March 15 and June 13, 1991, 29,602 households were enumerated in the 51 areas. In addition to recording the name of the head of each household, the number of adults in the household (15 and older), and the number of children, the enumeration form asked: "Are any adults in this household ill at this moment and unable to work? If so, the age of the sick adult and the number of weeks he/she has been too sick to work were also noted."
"Has any adult 15-50 in this household died in the past 12 months? If so, the age of each adult and the cause of death (illness, accident, childbirth, other) were also noted. The enumeration form asked explicitly about illness and death of adults between the ages of 15-50 because this is the age group disproportionately affected by the HIV/AIDS epidemic; it is the impact of these deaths that was of research interest. Out of over 29,000 households enumerated, only 3.7 percent, or 1,101, had experienced the death of an adult aged 15-50 caused by illness during the twelve months before the interview and only 3.9 percent, or 1,145, contained a primeage adult too sick to work at the time of the interview. Only 77 households had both an adult death due to illness and a sick adult. This supports the point that, even with some stratification based on community mortality rates and in an area with very high adult mortality caused by an AIDS epidemic, a very large sample would have had to have been selected to ensure a sufficient number of households that would experience an adult death during the two-year survey.
Using data from the enumeration survey, households were stratified according to the extent of adult illness and mortality. It was assumed that in communities suffering from an HIV epidemic, a history of prior adult death or illness in a household might predict future adult deaths in the same household. The households in each enumeration area were classified into two groups, based on their response to the enumeration:
- "Sick" huseholds: Those that had either an adult death (aged 15-50) due to illness in the past 12 months, an adult too sick to work at the time of the survey, or both (n=2,169).
- "well" households: Those that had neither an adult death (aged 15-50) due to illness nor an adult (aged 15-50) too sick to work (n=27,433).
In selecting the sixteen households to be interviewed in each enumeration area from which a enumeration area was drawn, fourteen were selected at random from the "sick" households in that enumeration area and two were selected at random from the "well" households. In one enumeration area, where the number of "sick" households available was less than fourteen, all available sick households were included in the sample; the numbers were balanced using well households. The final sample drawn for the first passage consisted of 816 households in 51 enumeration areas.
Face-to-face [f2f]
The KHDS 2004 mainly consists of a household survey covering a wide range of topics. The KHDS 2004 also includes three community questionnaires to accompany the household survey (community, price, and primary school questionnaires).
The KHDS 2004 project used the original questionnaires from the KHDS 91-94 as the foundation of the survey instruments. The household questionnaire collects information on a wide range of topics, including: housing amenities, consumption, income, assets, time allocation of individuals, business activities, remittances, support from organizations, education, and health, including anthropometric measures. The community questionnaire collects data on the physical, economic and social infrastructure of the baseline communities. The primary school questionnaire collects information on the amenities at schools, composition of the student body, and assistance to schools. Finally, up to three price observations are collected in each community from local markets/stalls on a list of commonly purchased food and non-food items.
Where possible, comparability is maintained with the KHDS 91-94 survey instruments. However, the questionnaires for the KHDS 2004 were revised to reflect changes in the region since 1994. Further, the household questionnaire was redesigned in an effort to capture key transitions that have occurred since the previous survey. These revisions included:
- Inclusion of a module on the incidence of economic shocks from the last 10 years (both positive and negative) for all panel respondents.
- Inclusion of a module on migration for respondents who relocated since the KHDS 91-94.
- Inclusion of a module on informal insurance groups.
- Expansion of questions on the circumstances of deaths.
- Inclusion of information on the remittances, loans, bride price payments, social communication and labor transfers between previous members of the KHDS 91-94.
This section of the Basic Information Document reviews the 4 surveys of the KHDS 2004. For each survey, substantial differences are highlighted between the survey instrument used in the 1991-1994 rounds and in 2004.
Users are encouraged to use this as a general guide to understand the questionnaires; however, this should not substitute for looking at the actual questionnaires directly. Users are encouraged to look directly at the survey instruments for literal question wording and to identify differences between survey instruments. The household questionnaires are available in Swahili (as used in the field) and English (a translated version of the Swahili field questionnaire); the community surveys were produced only in English.
Household Questionnaire: Review of Sections
The household questionnaire is divided into numerous sections, each of which covers a fairly distinct aspect of household activities. Anthropometric measurements and the questionnaire on mortality of household members are administered in separate forms attached to the household questionnaire.
Each section of the household questionnaire has four types of respondents selected according to the content of the section: the interviewer, household head, most knowledgeable person in the household and individual household members. The only section for which household members are not respondents is the first section covering basic survey information (household location, GPS Coordinates, interviewing language, completion status of section, etc…).
Household Questionnaire: Highlights of Substantial Differences
Many changes were made in the KHDS 2004 household questionnaire compared to the KHDS 91-94 household questionnaire. Some questions were added and some dropped. Section 4 arrangement was also revised to provide better continuity during interviews. The following are the main changes included in the 2004 questionnaire:
- Section 9 (Fertility) and Section 11C (Age of tree crops) from the 1991-1994 questionnaire were dropped in 2004.
- Section 13 (Fishing) from 1991-1994 was incorporated in Section 13 (non-farm business) in 2004.
- In 1991-1994, information in Section 7 was collected on the main job and secondary job done in the past 12 months, while in 2004 data was collected only on the main job done.
- In 1991-1994, Section 20b collected information on deaths of deceased relatives who were not household members. In 2004, the mortality questionnaire covered only deceased household members from the 1991-1994 survey.
- The following were new sections introduced in 2004: Section 10 (Shocks experienced in the past 10 years), Section 15C (Household Two-Week Expenditures), Section 15D (Inheritance and Bride Price), Section 17B (Ability to cope) and Section 18A (Interactions with Network Members).
Detailed information on the key changes, section-by-section, between the KHDS 91-94 household questionnaire and the KHDS 2004 household questionnaire are provided in Kathleen Beegle, Joachim De Weerdt and Stefan Dercon, March, 3 2006, "Kagera Health and Development Survey 2004 - Basic Information Document".
Community Questionnaire: Highlights of Substantial Differences
The substantial changes to the community questionnaire include:
• A new section was included on shocks experienced in the past 10 years (Section 7).
• Data was collected on population share of ethnic groups.
• GPS coordinates were taken in each community for all enumeration areas.
• Questions on access to roads, electricity and water were introduced.
• Questions on the culture of mourning were asked for three different periods: the time of the survey, 10 years prior to the interview and 20 years prior to the interview.
• Information was collected on access to vocational training and secondary education.
• Information was also collected on temporary migration and seasonal employment of community members.
See details in Kathleen Beegle, Joachim De Weerdt and Stefan Dercon, March, 3 2006, "Kagera Health and Development Survey 2004 - Basic Information Document".
Price Questionnaire: Highlights of Substantial Differences
Overall there were no substantive changes; a few items were added to the list.
See details in Kathleen Beegle, Joachim De Weerdt and Stefan Dercon, March, 3 2006, "Kagera Health and Development Survey 2004 - Basic Information Document".
Organization of Field Work
The project headquarters of KHDS 2004 were at the EDI (Economic Development Initiatives) offices in Bukoba Town. Here the human resources and finances of the project were managed, legal and contractual matters were taken care of, transport arrangements for field teams were made, the stock of field equipment was managed, future work was planned and all other activities necessary for the successful completion of the project were implemented. Details on recruitment, pre-fieldwork tracking, main field work, and tracking are given below. In addition to these activities, the questionnaire itself was piloted by supervisors in non-sampled households in Kibeta and Kitendaguro areas in Bukoba District prior to training.
Recruitment
Field staff recruitment started in spring 2003 with field supervisors. Four supervisors were recruited. After training, supervisors were involved in developing the survey instruments, planning field work, piloting the questionnaire, and preparing interviewer training manuals and materials. In November 2003, 36 interviewers were recruited; they were trained for three weeks. Interviewers were trained on the household questionnaire, mortality questionnaire, anthropometrics and basic communication methods with respondents. The training included actual household interviews in one rural area for all trainees. After training, an assessment of each interviewer on and off the field was conducted; the best 28 interviewers were retained. The field teams consisted of 4 teams of 7 interviewers and 1 supervisor. The final field team included one supervisor and 5 interviewers had worked on the KHDS 91-94.
Pre-Fieldwork Tracking
In order to facilitate the field work and prepare for tracking of movers, the KHDS 2004 had a pre-fieldwork tracking phase. Field management, supervisors and three interviewers did the prefield work tracking in October 2003. The team visited all 51 baseline communities with rosters from the 1991-1994 survey to complete a Household Tracking Form. This form identified the status and location of all panel respondents (all previous household members). When possible, panel respondents still residing in baseline communities were contacted in order to collect information on the status (alive/deceased) and location of all surviving panel respondents with whom the respondent resided in KHDS 91-94. When none of the panel respondents could be located in the baseline community, this information was collected by an informant (either a neighbor, relative or village leader).
For respondents who had moved out of the baseline community, tracking information was collected on the Individual Tracking Form. The form contained information on the name, age, and sex of the person tracked. It also included area of residence, which was divided into country, region, district, ward, village and sub-village. In addition, their marital status, name of spouse, contact details, professional details, hang out places, other names used and physical characteristics were noted. Furthermore, information on potential informants was collected on the Informant Tracking Form, in the event that tracking information appeared unreliable or insufficiently detailed to allow for the tracking of the panel respondent. Upon completion of the pre-field work tracking, data collected consisted of:
- Household Tracking Form which recorded the status of all panel respondents. If a panel respondent was reported to be alive, basic information on current location (same community, nearby community, district, region etc…) was recorded
- Individual Tracking Form for panel respondents who did not reside in or nearby the baseline community
- Informant Tracking Form for potential informants in the event that information on the individual tracking form proved insufficient to locate panel respondents who lived far from baseline communities.
The data collected were entered in the headquarters in Bukoba. These data were used to estimate the total number of households expected to be interviewed in KHDS 2004, considering migration and splitting of households. These data also allowed for careful planning of the main and tracking phases of the field work.
Main Field Work
The main field work started in January 2004. It consists of field team visits to the 51 baseline communities, as well as tracking of panel respondents who had moved to villages nearby the baseline communities. It excluded the tracking of panel respondents who had moved far either within the region or outside the region.
The field teams were divided into four groups of seven. One supervisor led each group. For the first two enumeration areas, teams were paired up in order to ensure data quality and consistency, as well as identify any over-sights in field procedures. For the remaining field work, each enumeration area was assigned one field team. When the survey team arrived in a community, the supervisor met with the village chairman to introduce the team, and, if necessary, explain about the survey in more detail. The supervisor also collaborated with the village chairman to find accommodation and guides who are familiar with household locations in the village. They also compiled a list of respondents for the community questionnaire and planned actual dates for administering the questionnaire.
Households in the village were grouped according to sub-villages. Appointments for administering the household questionnaire were then made with the household members. The interviewers completed the household questionnaire in two to three separate interviews depending on the size of the household and the number of sections that applied to the household. Fieldwork supervision was done in several stages to ensure high quality data collection. Supervision included revisits to households and direct observation during interviews by field supervisors and management team. During the revisits, the supervisor re-administered some of the sections in the household questionnaire, took anthropometric measurements and crosschecked clinic cards for children under the age six to verify the validity of the data. This also enabled collection of missing household data and anthropometric measurements for household members who had not been available during the initial interview.
Questionnaire checks were done in four stages:
- First, interviewers checked their own questionnaire after every household interview.
- Second, interviewers exchanged questionnaires among themselves for further checking.
- Third, the supervisor checked the questionnaires.
- Finally, field management occasionally checked the questionnaires.
For the field work, each team was given pre-printed 1991-1994 Household Rosters and 1991-1994 Children Living Elsewhere Rosters. They used these to check and confirm identities, relations and identification codes of respondents, which link them to the 1991-1994 survey (including completion of Section 1 question 10 in the household questionnaire, Section 2, and the Network Roster Card ).
Supervisors reported to the main office once a week to give an update of the work. They also reported any problems or queries that arose which enabled the field management to develop addendums. Addendums to the field manual were produced and distributed in the first few months of the fieldwork to clarify some aspects of the fieldwork and questionnaires. The field teams returned to the main office after completion in every enumeration area.
Tracking
The tracking phase started in June 2004 and ended in August 2004. During this phase, the teams were sub-divided into smaller teams of about three people. The size of the teams changed according to the location and number of panel respondents who needed to be tracked. A team leader led each team, while a supervisor was responsible for monitoring several teams located close to each other.
During the tracking phase, field staff tracked panel respondents who migrated to areas far away from their baseline 1991-1994 dwelling. Panel respondents who had migrated to nearby villages were visited during the main fieldwork. In some cases, when the field team arrived at the location on the Individual Tracking Form, the panel respondent had re-located. In this case, a second (or third, etc..) Individual Tracking Form would be completed and entered at operation headquarters.
Community Survey
The community questionnaire was administered in all KHDS baseline communities. There are 49 unique communities; as noted above, the sample has 51 enumeration areas but 2 pairs are in the same community (areas 44 and 45; areas 46 and 47). In 2004, the community questionnaire was administered in the same manner as in 1991-1994. The respondents for this questionnaire are people who are well informed about the activities, events and infrastructure of the community being surveyed. The group of respondents consists of the following people: chairman of education committee, secretary of development committee, one person from the community leadership, someone familiar with the health problems of the community, and someone familiar with agricultural and livestock practices of the community There were two other questionnaires included in the 1991-1994 survey which were dropped in the 2004 survey. These were the health facility questionnaire (administered in all four waves of KHDS 91-94) and the traditional healer questionnaire (administered only in wave 3 of KHDS 91-94).
Primary School Survey
The school questionnaire was completed for every primary school in the enumeration area, both public and private. In 2004, the school questionnaire was administered in the same manner as in 1991-1994. The number of schools per enumeration area ranged from one to three schools per enumeration area. A total of 72 school questionnaires were administered in 49 baseline communities.
Price Survey
Price questionnaires were completed for markets and shops in every enumeration area. In 2004, the price questionnaire was administered in the same manner as in 1991-1994. Where possible two questionnaires were completed per enumeration area. In most enumeration areas one questionnaire was done in shops and one in markets, although some enumeration areas have only one questionnaire and one enumeration area has three questionnaires. A total of 90 price questionnaires were administered, 47 from markets and 43 from shops.
Data entry was done at the main office in Bukoba, concurrent with the main fieldwork. The data entry team consisted of seven data entry operators and one data entry supervisor. Data was entered in CsPro then transformed to Stata format. Questionnaires were entered and verified after each entry. Although internal consistency checks were performed in CsPro, in addition to more elaborate checks for inconsistency and outliers were done in Stata.
All responses obtained from individual, household, and community level interviews were recorded in questionnaires. In cases where the respondent did not know the answer, the interviewers recorded "DK" (Don't know) in the questionnaires. Data entry were trained to input this as nine (9) which represents missing information in the datasets. In cases where nine was an eligible code, the highest value for the number of digits was entered. For example, DK's for questions with up to two eligible digit codes were entered as 99; 999 was entered for DKs for questions with eligible three digit codes (assuming 999 was not otherwise an eligible response). For the mortality questionnaire, in some cases, multiple informants were interviewed. The data were consolidated such that each baseline household has one mortality questionnaire in the data files (with, perhaps, multiple deceased therein).
KHDS 2004 sampling strategy was to reinterview all individuals who were household members in any round of the KHDS 1991-1994 and who were alive in the last interview. [One serious problem that is side-stepped by this approach is constructing a definition of what makes a household the same household as 10 years ago, especially if there are individuals who have migrated, split-off or the household has dissolved.] The household in which these individuals live would be administered the full household questionnaire. For all household members alive during the last interview in 1991-1994, but found to be deceased by 2004, information about the deceased would be collected in the mortality questionnaire. This questionnaire intended to collect data on the circumstances of their death, as well as on their living arrangements and limited information on health seeking behavior prior to death. The respondents for this questionnaire were typically panel respondents who were previous household members with the deceased, other relatives, neighbors or close friends.
Although the KHDS is a panel of respondents and the concept of a 'household' after 10-13 years is a vague notion, it is common in panel surveys to consider recontact rates in terms of households. Table 7 shows the rate of recontact of the baseline households, where a recontact is defined as having interviewed at least one person from the household.3 In this case, the term household is defined by the baseline KHDS survey which spans a period of 2.5 years. Due to movements in and out of the household, some household members may have not, in fact, lived together in the household at the same time in the 1991-1994 rounds (for example, consider one sibling of the household head moving into the household for 1 year and then moving out, followed by another sibling moving into the household).
Excluding households in which all previous members are deceased (17 households and 27 people), the field team managed to recontact 93 percent of the baseline households. Not all 912 households received four interviews. Not surprisingly, households that were in the baseline survey for all four rounds had the highest probability of being reinterviewed. Of these 746 households, 96 percent were reinterviewed.
Because people have moved out of their original household, the new sample in KHDS 2004 consists of over 2,700 households from the baseline 832, which were recontacted. Much of the success in recontacting respondents was due to the effort to track people who had moved out of the baseline villages. One-half of all households interviewed were tracking cases, meaning they did not reside in the baseline communities. Of those households tracked, only 38 percent were located nearby the baseline community. Overall, 32 percent of all households were not located near the baseline communities. While tracking is costly, it is an important exercise because migration and dissolution of households are often hypothesized to be important responses to hardship. Excluding these households in the sample raises obvious concerns regarding the selectivity of attrition. In particular, out-migration from the village, dissolving of households, and even marriage, may be responses to adult mortality. At the same time, tracking will provide a unique opportunity to study these coping mechanisms: who uses them, what is the effect, do they get people out of poverty or do they themselves constitute a poverty trap.
Turning to recontact rates of the sample of 6,204 respondents, Reinterview rates are monotonically decreasing with age, although the reasons (deceased or not located) vary by age group. The older respondents were much more likely to be located if living, which is consistent with higher migration rates among the young adults in the sample. Among the youngest respondents, over three-quarter were successfully re-interviewed. Excluding people who died, 82 percent of all respondents were re-interviewed. Without tracking, re-interview rates of surviving respondents would have fallen from 82 percent to 52 percent. Non-local migration is not trivial; restricting the tracking to nearby villages would have resulted in 63 percent recontact of survivors. Migration proved to be an important factor in determining whether someone was recontacted. Respondents who were untraced were much more likely to be residing outside Kagera (52 percent) compare to their counterparts who were re-interviewed (9 percent).
KHDS 2004 tracked international migrants for Uganda only. Although the location of those in other countries was known, they were not traced. For those respondents who were not reinterviewed, the KHDS 2004 gives some information about their interactions with the reinterviewed respondents. Survey modules on the frequency of contact with all previous household members inform on the cash, in-kind and labor interactions between former household members.
Kagera Health and Development Survey 2004. Ref. TZA_2004_KHDS_v01_M. The World Bank.
In receiving these data it is recognized that the data are supplied for use within my organization, and I agree to the following stipulations as conditions for the use of the data:
1. The data are supplied solely for the use described in this form and will not be made available to other organizations or individuals. Other organizations or individuals may request the data directly.
2. Three copies of all publications, conference papers, or other research reports based entirely or in part upon the requested data will be supplied to:
The World Bank
Development Economics Research Group
LSMS Database Administrator
MSN MC3-306
1818 H Street, NW
Washington, DC 20433, USA
tel: (202) 473-9041
fax: (202) 522-1153
e-mail: lsms@worldbank.org
3. The researcher will refer to the 2004 Kagera, Tanzania Health and Development Survey as the source of the information in all publications, conference papers, and manuscripts. At the same time, the World Bank is not responsable for the estimations reported by the analyst(s).
4. Users who download the data may not pass the data to third parties.
5. The database cannot be used for commercial ends, nor can it be sold.
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
anthro
Anthropometrics
11192
24
community
Community data
49
800
hh
Household-level information compiled across multiple sections
2774
158
indtrackingform
1398
51
mortality1
Cover page
841
14
mortality2
Mortality data for deceased panel respondents
988
36
pr1__fdp
Price data: Food Items
2700
9
pr2__ph1
Price data: Pharmaceuticals
900
9
pr3__nf1
Price data: Non-food items
1170
9
pr3__nf2
Price data: Charcoal
90
9
prcvrcls
Price data: Cover page
90
13
primary
Primary school
72
174
sec00
Survey information
55480
12
sec1
Roster
13126
27
sec2
Children residing elsewhere
13096
16
sec4
Information on parents
11238
27
sec5
Education
12808
49
sec6
Health
9822
62
sec7
Activities and Non-Labor Income
9803
135
sec8
Individual expenditures
12772
23
sec9
Migration
8546
13
sec10
Shocks
3218
93
sec11a
Land
6330
12
sec11b
Crops
97567
13
sec11c
Farm inputs
11662
5
sec11d
Sales of products from home grown crops
8347
10
sec11e
Hand tools
27432
5
sec11f
Farm equipment
13632
8
sec12a
Animals
18132
12
sec12b
Sales of animal products
1974
5
sec12c
Livestock expenditures
8848
5
sec13
Non-farm self employment
1651
39
sec14a
Types and ownership of dwelling
2996
12
sec15a
Durable goods
40545
5
sec15b
Household annual expenditures
48600
5
sec15c
Household two-week expenditures
16194
5
sec15d1
Inheritance
3077
10
sec15d2
Bride price
388
9
sec16b
Food consumption of home production
60588
23
sec16c1
Food expenditures, seasonal foods
107640
22
sec16c2
Food expenditures, non-seasonal foods
48438
19
sec17a
Informal organizations
2327
37
sec17c
Receipt of assistance from outside
374
7
sec18a
Interactions with network members
19329
33
sec18b
Gifts and loans received from others
3720
13
sec18c
Gifts and loans given to others
3397
13
tracking
Tracking status of individuals not re-interviewed (not traced) in 2004 and reported to be alive
2254
18
2774
Number of Surveys Filled in for this Household
Number of Surveys Filled in for this Household
Number of Surveys Filled in for this Household
Number of Surveys Filled in for this Household
Number of Surveys Filled in for this Household
2774
1
TOTAL BOOKLETS
TOTAL BOOKLETS
TOTAL BOOKLETS
TOTAL BOOKLETS
TOTAL BOOKLETS
2774
1
2
Country
Country
Country
Country
Country
2774
TANZANIA
UGANDA
Region
Region
Region
Region
Region
2733
ARUSHA
DAR ES SALAAM
DK
DODOMA
KAGERA
KAMPALA
KIGOMA
KILIMANJARO
KYOTERA
MARA
MASAKA
MBEYA
MOROGORO
MWANZA
PWANI
RUKWA
SHINYANGA
SOUTHERN
TABORA
District
District
District
District
District
2774
ARUMERU
ARUSHA TOWN
BARIADI
BIHARAMULO
BUKOBA
BUKOBA RURAL
BUKOBA URBAN
BUKOMBE
BUNDA
BUSHENYI
BUSHENYI B
DODOMA
GEITA
IGUNGA
ILALA
ILEMELA
IMELELA
KAHAMA
KAMPALA
KARAGWE
KASESE
KASULU
KIBAHA
KIBONDO
KIGOMA
KIGOMA URBAN
KILOSA
KINONDONI
KWIMBA
MAGU
MASAKA
MBARARA
MBEYA
MEATU
MISUNGWI
MKURANGA
MOROGORO
MOSHI
MOSHI RURAL
MPANDA
MUKONO
MULEBA
MUSOMA
MUSOMA RURAL
MUSOMA URBAN
MWANZA
MWANZA RURAL
MWANZA URBAN
NGARA
NYAMAGANA
NZEGA
RAKAI
RAKIA
SENGEREMA
SHINYANGA
SHINYANGA RURAL
SHINYANGA URBAN
TABORA URBAN
TARIME
TEMEKE
TORORO
UKEREWE ISLANDS
WAKISO
WEKISO
Ward
Ward
Ward
Ward
Ward
2752
AZIMIO
BAKOBA
BANGWE
BIHARAMILO
BIHARAMULO
BIHARAMULO URBAN
BIIRABO
BILABO
BILELE
BILRABO
BISHESHE
BUENDANGABO
BUGABO
BUGANDIKA
BUGANGO
BUGANGUZI
BUGAPAMA
BUGENE
BUGOGWA
BUGOMOLA
BUGOMORA
BUGORORA
BUGURUNI
BUHEMBE
BUHORORO
BUJUGO
BUKAKATA
BUKOBA
BUKOME
BUKWALI
BULEZA
BULUMBA
BULYABUSHAJI
BULYAKAKSHAJU
BULYAKASHAJU
BULYAKAZAJU
BUMBIRE ISLAND
BUMBIRE ISLANDS
BUNDA TRAINING COLLE
BUNENA
BUNGAGUZI
BUNJU
BUNJU A
BUNYWAMBELE
BURABO
BUREZA
BUSANDA
BUSELESELE
BUSELESELE A
BUSERESERE
BUSHAGARA
BUSHANGARA
BUSHANGARO
BUSHOZI
BUTELANKUZI
BUTERANKUZI
BUTIMBA
BUYAGU
BUYANGO
BUYEKERA
BUZIKU
BUZIRAYOMBO
BWANGA
BWANJA
BWANJAI
BWELA
BWENDAGABO
BWENDANGABO
BWERA
BWERANYANGE
BWERI
BWIREGI
BWIRU
BYAKASIMBI
CHAGWE
CHAMWINO
CHANGENYI
CHANIKA
CHATO
CHEYO
CHIFUMFU
CUSTOM
DK
GEITA
GEITA MJINI
GERA
GERA KASHEKYA
GHANA
GONGOLAMBOTO
GOZIBA ISLAND
GOZIBA ISLANDS
GUNGU
HAMGEMBE
HAMUGEMBE
IBISABAGENI
IBOSA
IBUGA
IBULA
IBULWA
IBWERA
ICHWANKIMA
IGOGO
IGOMA
IGOMBE
IGORWA
IGULWA
IGUNGA
IGURUGATI
IGURWA
IHANDA
IHEMBE
IJUGANYONDO
IJUMBI
IKONDO
ILANGALA ISLAND
ILEMERA
INSHUNJU
IPARAMASA
IPULI
IROMBA
ISAMILO
ISAOK
ISELAMAGAZI
ISHOZI
ISHUNJU
ISLAND POLICE
ISLAND-KELEBE
ISLAND-MAISOME
ITAHWA
IYANDA
IYANDAMA
IZIBYA
IZIGO
IZIMBYA
JUNIOR SEMINARY
KAAGYA
KABAMBILO
KABANGA
KABILIZI
KABINDI
KABIRA
KABIRIZI
KACHWAMBA
KAGOMA
KAGONDO
KAGONOD
KAGUNGULI
KAHAMA
KAHAMA MJINI
KAHAMA TOWN
KAHORORO
KAIBANJA
KAISHO
KAJAGGA
KAJJANSI
KAKIKA
KAKOBA
KAKONKO
KAKUNYU
KAKUTO
KALABAGAINE
KALANGALALA
KALANGALANGA
KALENGE
KAMACHUMU
KAMBARAGE
KAMCHUMU
KAMPALA-KIBURI
KAMUHANGA
KAMULI
KAMURI
KANAZI
KANONI
KANTYIGO
KANYAMAELA
KANYANGELEKO
KANYANGEREKO
KANYIGO
KARABAGAINE
KARAMBI
KARENGE
KARUTANGA
KASAMA
KASAMBYA
KASAMWA
KASASA
KASHAI
KASHARU
KASHARUNGA
KASHASHA
KASHAURIRI
KASHENYE
KASHSHA
KASUGA
KASULU
KASUMBA
KATABI
KATARE
KATELA
KATELELO
KATERA
KATERELO
KATERERO
KATOMA
KATORO
KATUNGURU
KATWE
KATWE-2
KAWE
KAYANGA
KAZINGA
KEKO MAGURUMBA
KEREBE ISLAND
KEREBI ISLANDS
KIBALE
KIBAMBA
KIBARA
KIBARE
KIBEMBA
KIBETA
KIBETHA
KIBILIZI
KIBIMBA
KIBIMBI
KIBIMBO
KIBIRIZI
KIBONDO
KIGAMBONI
KIGOGO
KIGOMORA
KIGONGO
KIHANGA
KIHONDA
KIHWERA
KIKOMELO
KIKOMERA
KIKOMERO
KIKUYU
KILIMANI
KILIMILE
KILIMILILE
KILIMYA
KILOSA
KILOSA TOWN
KILULUMA
KILUMBA
KIMARA
KIMUKUNDA
KIMULI
KIMULU
KIMWANI
KINONDONI
KIPANGA
KIPAWA
KIRULUMA
KIRUMBA
KIRURUMA
KIRUSHA
KISASA
KISESA
KISHAMBA
KISHANDA
KISHANJE
KISHEKURO
KISHINDA
KITANGILI
KITANGIRI
KITENDAGULO
KITENDAGURO
KITETE
KITOBO
KITUNTU
KIULEI
KIWANGARA
KONGOWE
KUNDUCHI
KURASINI
KYAKA
KYAKATUMA
KYAMALANGE
KYAMLAILE
KYAMTWARA
KYAMULAILE
KYEBE
KYEBITEMBE
KYERWA
LAKAI
LUBALE
LUGATA
LUHANGA
LUHANO
LUKOLE
LUNZEWE
LUSAHUNGA
LUSUMO
LWAMGOSA
LYAKASHAJU
MABATINI
MABAWE
MABIBO
MABIRA
MAFIGA
MAGEREZA
MAJENGO
MAJENGO MAPYA
MAKANGARAWE
MAKINDYE
MAKORE
MAKUBURI
MAKURUGUSI
MANZESE
MARANGU
MARUKU
MARUNGA
MASAKA
MAWENZI
MAZENGO
MAZINGA ISLAND
MBAGALA
MBAGARA
MBEZI BEACH
MBUNDA
MCHIKICHINI
MEATU
MGEZA
MGOMA
MIEMBENI
MIGERA
MIKOCHENI B
MIKONI
MINZIRO
MISENYE
MITI
MJIMKUU
MJINI
MKOLANI
MKURANGA
MKUYUNI
MLANDIZI
MOSHI RURAL
MSASANI
MTAKUJA
MTAKUJA/KANISANI
MUBIMBA
MUBUNDA
MUGOMA
MUHONGOLO
MUHUTWE
MULAMULA
MULEBA
MULEBA ISLAND
MULEBA MJINI
MULOLE
MURUBANA
MURUNYANGE
MUSHOZI
MUSIRA ISLAND
MUSONGA
MUTUKULA
MUUTWE
MWANANYAMALA
MWANANYAMARA
MWANZA CITY
MWASELE
MWENGE
MWIZI
NABISABO
NAMASUBA
NANSIO
NATETE
NDAMA
NDEMBEZI
NDUTWA
NGARA
NGARA MJINI
NGARA TOWN
NGARA-TOWN
NGENGE
NGOKOLO
NKINDO/KARABAGAINE
NKOME
NKWEDA
NKWENDA
NSHAMBA
NSHAMBYA
NSHUNGA
NSUNGA
NTOBEHE
NTOBEYE
NTONI
NYABIYONZA
NYABUGOMOLA
NYABUSANDA
NYABYONZA
NYAISHOZI
NYAKAHAMA
NYAKAHAMA,BULYAKASHA
NYAKAHANGA
NYAKAHURA
NYAKAKIKA
NYAKALENGE
NYAKALILO
NYAKASHOJU
NYAKATELA
NYAKATO
NYAKIBIMBILI
NYAKIMBIBILI
NYAKISASA
NYAKITUNGA
NYAMAGANA
NYAMAKOKO
NYAMAMBUKAI
NYAMANORO
NYAMATARE
NYAMIAGA
NYAMIGOTA
NYAMIHAGA
NYAMIYAGA
NYAMPURUKANO
NYANGA
NYANGOMA
NYANGWE
NYANSATO
NYARUGUSU
NYARUSUMO
NYASUDI
NYIHOGO
NZEGA TOWN
OMURUSHAKA
PASIANSI
RUANGA
RUBAFU
RUBAGA
RUBALE
RUBUMBA
RUFIJI
RUFITA
RUGANZO
RUGATA ISLAND
RUHANGA
RUHANO
RUHUNGA
RUKOMA
RULANDA
RULENGE
RUNZEWE
RUSAHUNGA
RUSAUNGA
RUSHANNGA
RUSHWA
RUSUMO
RUSWA
RWABWELE
RWABWERE
RWAMGASA
RWAMISHENI
RWAMISHENYE
RWAMLIMI
RWAMUGASA
RWAMULIMI
SALASALA
SANJE
SANUARI
SEETA NAMUGANGA
SEGEREA
SERENGEMA
SHANGA
SHYCOM
SIMA
SINZA
SOMBETIN
ST. ANTONY
SUMVE
TABATA
TANDIKA
TANZANIA
TEGETA
TEMEKE
TORORO
TUKUTUKU
TUMBI
TURWA
UKONGA
USAGARA
USHIRIKA
USHIROMBO
UYOVU
UYUWI
UZUNGUNI
VINGUNGUTI
YOMBO VITUKA
Village
Village
Village
Village
Village
2676
AIRPORT
AKASHEKYA
AKISHAKA
ARUSHA TOWN
BIGAGA
BIHARAMULO
BILABO
BILELE
BILELE B
BIOHARAMULO URBAN
BISHAKA
BISHESHE
BISHULA
BISHURA
BISOLE
BITUNTU
BOKO
BONDENI
BUBALE
BUGALA
BUGALAMA
BUGANDIKA
BUGANGUZI
BUGANZU
BUGARA
BUGARAMA
BUGASHA
BUGENE
BUGENGELE
BUGENGERE
BUGOMBE
BUGORO
BUGORORA
BUHANGA
BUHANYA
BUHEKELA
BUHEMBE
BUHIMBA
BUHORORO
BUJARA
BUJUMBI
BUJURUGA
BUKABUYE
BUKODOVIA
BUKOKWA
BUKONO
BUKOTO
BUKUMBURA
BUKWALI
BULAMA
BULAMULA
BULENGEASI
BULEZA
BULINDA
BUMAI
BUNAZI
BUNAZI B
BUNDA TTC
BUNDAZA
BUNENA
BUNYWAMBELE
BUPANDAGIRA
BUREMBO
BURUGO
BUSAKA
BUSELESELE
BUSERESERE
BUSHAGARA
BUSHAKA
BUSHANGARA
BUSHANGARO
BUSHASA
BUSHASHA
BUSHEGESHE
BUSHEMBA
BUSHENDA
BUSHOJU
BUSIMBE
BUSINDE
BUSINGO
BUTAANJU
BUTAGANJANA
BUTAINAMWA
BUTAIRUKA
BUTAKYA
BUTE
BUTIMBA
BUTONGA
BUTULAGE
BUTURAGE
BUYAGA
BUYAGU
BUYAMBO
BUYANDO
BUYANGO
BUYEKELA
BUYEKERA
BUYOGA
BUZANDURU
BUZI
BUZIIMA
BUZIKU
BUZIRAYOMBO
BUZURUGA
BWANGA
BWANGARUTI
BWANJAI
BWATANGABO
BWELA
BWEMBE
BWERA
BWEYUNGE
BWIKIZO
BWIRU
BWIZANDURU
BWOKI
BYAMTEMBA
BYEJU
BYOKI
BYONGA
CENTRAL POLICE
CHAANIKA
CHANG'OMBE
CHANYA
CHATO
CHATO KATI
CHEKECHEA
CHIBULI
CHIVU
CHONYONYO
CHOTA
CUSTOM
DK
FORODHANI
GABULANGA
GEITA
GEITA MJINI
GENGENI
GHANA
GONGOLAMBOTO
GOVERMENT HOSPITAL
GURUKA KWALALA
HAMGEMBE
HAMUGEMBE
HIYUNGA
IBALE
IBARAIZIBU
IBONDO
IBOROGELO
IBOSA
IBUGA
IBUNGIRO
IBURA
ICHWANKIMA
IGABIRO
IGAYAZA
IGOGO
IGOMA
IGOMBE
IGULUGATI
IGURUGATI
IHANGA
IHANGILO
IHANGIRO
IHAYABUYAGA
IHEMBE
IHUNGA
IJUGANYONDO
IKULU
IKUZA ISLAND
ILAMBIKA
ILANGO
ILEMERA ISLAND
ILOGERO
ILYAMCHELE
ILYAMUCHELE
INYALA
IPULI
IRANGO
IROBA ISLAND
IROGERO
ISEMI-BONDENI
ISHAKA
ISHEGITI
ISHUNJU
ISLAND POLICE QUARTE
ISLAND-KELEBE
ISLAND-MAISOME
ISUNGABURA
ITAHWA
ITALE
ITANGA
ITAWA
ITELA
ITERA
ITOGWAHOLO
ITOJU
ITONGO
IYAGAMA
IYANDA
IYANDA I
IYANGIRO
IZIMBYA
JESHINI
KAAGYA
KABAJUGA
KABALE
KABANGA
KABANO
KABARE
KABILIZI
KABIRIZI
KABUGIMBI
KABUHIMA
KABUKONGA
KABUKONGE
KABULALA
KABULANA
KABULANJWILE
KABWELA
KABYAILE
KACHANGA
KACHWEKELA
KAEMBE
KAFUNJO
KAFUNZO
KAGABILO
KAGABIRO
KAGEGE
KAGEMU
KAGENYI
KAGERA
KAGERA B
KAGERA SUGAR
KAGOMA
KAGONDO
KAGONDO -KARUGURU
KAGONDO KARUGULU
KAGONDO-KARUGULU
KAGUNGULI
KAGUTU
KAHAMA
KAHAMA MJINI
KAHAMA TOWN
KAHORORO
KAHUKURU
KAIBANJA
KAILEMBA
KAILONGA
KAJUNGUTI
KAKANJA
KAKERERE
KAKIKA
KAKINDO
KAKOBA
KAKOGE
KAKOLA
KAKOMA
KAKONKO
KAKUKURU
KALEMBELA
KALENGE
KALOBERA/BUNENA
KALUNGA
KAMACHUMU
KAMAGABO
KAMAGAMBO
KAMAGSMBO
KAMBARAGE
KAMISHAGO
KAMIZILENTE
KAMIZILENTE A
KAMUSHANGA
KANAZI
KANGABUSHARO
KANGANTEBE
KANIHA
KANISANI
KANONI
KANTALE
KANTARE
KANYABUGURU
KANYAMAELA
KANYAMUKULE
KANYAMUKURE
KANYANGEREKO
KANYONZA
KARAKATA
KARENGE
KARONGE
KASALA
KASAMA
KASAMBYA
KASAMWA
KASANGE
KASASA
KASATO
KASENYI IKUZA ISLAND
KASESE
KASHABO
KASHAI
KASHAI HALISI
KASHAMBWA
KASHANGATI
KASHARAZI
KASHARU
KASHARUNGA
KASHASHA
KASHAURIRI
KASHEKYA
KASHENGE
KASHENYE
KASHOZI
KASHULE
KASHURE
KASINDAGA
KASSHEKYA
KASTAM
KASULO
KATALE
KATANDA
KATANGALALA
KATANO
KATARE
KATEMBE
KATENDAGURO
KATERELO
KATOKE
KATOMA
KATORO
KATUBAGO
KATURUKA
KATWE
KATWE-2
KAWAFU
KAWAMARA
KAWE
KAWEMBA ROAD
KAYANGA
KAYANJA
KAYOLO
KAYULO
KAYUNGU
KAZINGA
KELEBE ISLADS
KEMONDO
KENYANA
KEREBE ISLAND
KEREBI ISLANDS
KIBAGOIZI
KIBALAMA
KIBALE
KIBARA
KIBARE
KIBETA
KIBETA A
KIBETHA
KIBILIZI
KIBIMBA
KIBIRIZI
KIBOMBO
KIBONA
KIBUYE
KIBWERA
KIFUFU
KIGA
KIGARAMA
KIGARAMA RWAGATI
KIGAZI
KIGERAITUMA
KIGESHO
KIGOGO
KIGOROGORO
KIGUGU
KIGUSHA
KIGUU
KIHANGA
KIHORORO
KIHUMULO
KIHWELA
KIHWERA
KIIJONGO
KIILIMA
KIJONGO
KIJUMBULA
KIJUMBURA
KIJUMO
KIJUMU
KIJUNJA
KIJUNJA-B
KIJWE
KIJWIRE
KIKOMAKOMA
KIKOMELO
KIKOMERA
KIKOMERO
KIKUKULU
KIKUKURU
KIKUKWE
KIKUMBA ITALE
KIKUMBAITARE
KIKUNKU A
KIKUYU
KILELE
KILIMA
KILIMAHEWA
KILIMILE
KILIMILILE
KILIMYA
KILOMBERO
KILULUMA
KILUVYA
KIMARA
KIMBUGU
KIMEA
KIMUKUNDA
KINESI
KINGUGI
KINONKO
KIRAI
KIRALAMA
KIRUSHA
KISALIZI
KISASA
KISHANDA
KISHANJE
KISHAO
KISHENGE
KISHENYE
KISHENYI PARISH
KISHOA
KISHOJO
KISHOJU
KISINDI
KISUKURU
KITABWEMI
KITAHYA
KITAYA
KITEMA
KITENDAGULO
KITENDAGURO
KITENGWA
KITENGWE
KITUNTU
KITWE
KITWECHENKUBA
KITWECHENKURA
KIULUMO
KIUMULO
KIUNGAMIWA
KIWELA
KIWERA
KIZILAMUYAGA
KIZILU
KIZINGA
KIZIRU
KOKWA
KOLOLENI
KOLPING
KOMAKOMA
KONGOWE
KUMTANA
KUMUTANA
KUMUYANGE
KURASINI
KWANYOKA
KYAITOKE
KYAKAILABWA
KYAKAILBWA
KYAKALIMA
KYAKASHAIJA
KYAKATUMA
KYAMALANGE
KYAMIOSI
KYAMULAILE
KYAMUZINGA
KYAMYOSE
KYAMYOSI
KYANSHENGE
KYASHA
KYAZI
KYEBE
KYEILIMA
KYELELE
KYELIMA
KYEMA
KYERWA
KYOLELE
KYOTA
LINE POLICE
LUANO
LUBAGA
LUGALO
LUGANDO
LUGANZO
LUGATA
LUHANGA
LUHANO
LUHOKO
LUKAJANGE
LUKOLE
LUKUNYU
LURANDA
LUSHAKA
LWAMBAIZI
LWIGEMBE
LYABUSALU
M/NYAMALA KWA KOPA
MABATINI
MABIRA
MAFUMBO
MAGEREZA
MAGOTI
MAHAIGA ISLAND
MAHAKAMANI
MAJARUBANI
MAJENGO
MAJENGO MAPYA
MAJOYE MJI MPYA
MAKARWE
MAKAZI
MAKIBWA ISLAND
MAKONGO
MAKONGORO
MAKUMBUSHO
MAKURUGUSI
MALELE
MAMA JOHN
MANZESE
MARUKU
MARUNGA
MASHULE
MASURURA
MATOPENI
MAYENZI
MAYENZI KATI
MAYORWA
MAZENGO
MAZINGA ISLAND
MBAGALA
MBAGALA MWISHO
MBALE
MBARARA TOWN
MBATAMA
MBEZI BEACH
MBINYANGE
MEIMBENI
MFUNDIZE
MGEZA
MGUSU
MIEMBENI
MIGALA
MIGARA
MIGERA
MIGERA A
MIHEMBENI
MIKALE
MIKARE
MIKIRE
MIKOCHENI
MIKONI
MINAZI
MINGOTO
MINZIRO
MISENYI
MISHENYE
MISUFINI
MITAGA
MITI
MJIMKUU
MJUNWA
MKALI
MKOANI
MKUKI
MKUYUNI
MLANDIZI B
MOSQUE ZONE-KIBURI
MPOGOLONI
MSEKWA
MSETO
MSHIKAMANO
MSONGA
MTINGA
MTONGANI
MTONI MTONGANI
MTUKULA
MUBINYANGE
MUBUHENGE
MUBUHENGO
MUGABA
MUGAJWALE
MUGERA
MUGERE
MUGEZA
MUGIKOMERO
MUGOMA
MUHONGOLO
MUHUTWE
MUHWEZA
MUJUGA
MUKARE
MUKIBOGOYE
MUKIDIDIRI
MUKIREHE
MUKISHENYE
MUKUKUMBO
MUKUNYU
MUKUYUNI
MULAYA
MULEBA
MULEBA KIJIJINI
MULEBA TOWN
MULEBA VIJIJINI
MULELA
MULOLE
MULUGARAMA
MULUVYAGILA
MULUVYAGIRA
MURITIRIMA ISLAND
MURUGINA
MURUGWANZA
MURUKUNYU
MURUNYANGE
MURUVYAGILA
MURUVYAGIRA
MURUVYANGIRA
MUSHOZI
MUSIRA ISLAND
MUSONGA
MUTKULA TOWN
MUTUKULA
MUTUKULA TOWN
MUUNGANO
MUWEZA
MUYENJE
MUYENZI
MWABUKWALULE
MWANGAZA
MWANZA CITY
MWASELE
MWEMAGE
MWIVUZA
MZINGA
NAMAGUBO-B
NAMANGA
NAMASUBA
NANGOMA
NATIONAL HOUSING
NAVY
NDEMBEZI
NGANDO
NGARA
NGARA MJINI
NGARA-TOWN
NGARAMA
NGOKOLO
NGOMA PARISH
NJUNA
NKINDO
NKOMELO
NKOMERO
NKWENDA
NSHABYA
NSHAMBYA
NSHESHE
NSISHA
NTALETALE
NTOBEYE
NTOIJA
NTUMAGO
NTUMAGU
NTUNGAMO
NYABIHANGA
NYABIHANGO
NYABIOKWE
NYABIYONZA
NYABUGOMBE
NYABULE
NYABULOLO
NYABUSHENEGEKA
NYABUSHOZI
NYAISHOZI
NYAIYANGA
NYAKABANGA
NYAKABULALA
NYAKAGOYAGOYE
NYAKAHAKO
NYAKAHAMA
NYAKAHANGA
NYAKAJO
NYAKANAZI
NYAKANYASI
NYAKARIBA
NYAKASATO
NYAKASHENYE
NYAKATELA
NYAKATERA
NYAKATO
NYAKATO BARNABA
NYAKATUNTU "A"
NYAKAYONDO
NYAKAZIBA
NYAKIBIMBILI
NYAKIGANDO
NYAKIZIBA
NYAKUTEFE
NYALUGONGO
NYAMAHUNA
NYAMANORO B
NYAMAWA
NYAMBOGE
NYAMIAGA
NYAMIGERE
NYAMIGOTA
NYAMIILIMA
NYAMIYAGA
NYAMIYOSE
NYAMKAZI
NYAMPA
NYAMPULUKANA
NYAMUKAZI
NYANGA
NYANGOMA
NYANGOYE
NYANGWE
NYANKERE
NYANTIMBA
NYANZA
NYARUBILA
NYARUGONGO
NYARUSAMA
NYARUTUNTU
NYARUZUMBURA
NYASHO
NYASUDI
NYEGEZI
OBUCHUCHU
OMBUTONGO
OMKIGANDO
OMUKAGANDA
OMUKAGANDO
OMUKAGOYE
OMUKATOMA
OMUKIGUSHA
OMUKISHENYE
OMULULAMA
OMULUNAZI
OMUNDELE
OMUNDERE
OMURUNAZI
OMURUSHAKA
OMURUSIMBI
OMURUVYAGIRA
PILE
PIMBAMPAZE
PIMBANPANZE
POLICE LINE
REBU
ROSOZI
RUBAFU
RUBAGA
RUBALE
RUBAO
RUBYA
RUFIJI
RUFITA
RUGANDO
RUGANJO
RUGANZI
RUGANZO
RUGANZU
RUGASHA
RUGERA
RUHANGA
RUHANO
RUHANYA
RUHITA
RUHOKO
RUHORO
RUKAGATI
RUKINDO
RUKOMA
RUKURAIJO
RUKURUNGA
RULAMA II
RULANDA
RULENGE
RUNYAGA
RUNZENZE
RUNZEWE
RURAMA
RUSAHUNGA
RUSHAKA
RUSUMO
RUTEME
RUTENGE
RUTETE
RUZINGA
RWABIGAGA
RWAGATI
RWAIGULU
RWAMACHU
RWAMACHUMU
RWAMASHONGA
RWAMBAIZI
RWAMGASA
RWAMISHENYE
RWAMISHENYE DISPENSA
RWAMISHENYE-BONDENI
RWAMISHENYI
RWAMUGASA
RWAMUGURUSI
RWAMULUMBA
RWANGONO
RWANYANGO
RWAZI
RWEAMACHU
RWENKWAJU
RWEZA
RWIGEMBE
RWINA
RWIZI
SABASABA
SALASALA
SENGEREMA TOWN
SHANGA
SHILABELA
SHIMO LA UDONGO
SHUNU
SHYCOM SS
SINZA
SINZA E
SINZA MADUKANI
SONGWE
ST.FRANCIS
SUMVE
TABATA
TELUNGWA
TORORO BARACKS
TOWN
TUKUTUKU
TUMAGU
UKEREWE ROAD
UKILIGULU
UNGUJA
UPOGORA
USWAHILINI
UYUWI
UZUNGUNI
VIKUGE
VINGUNGUTI
VITUKA
`BUSHEMBA
Kitongoji
Kitongoji
Kitongoji
Kitongoji
Kitongoji
2684
Is Household living in...
Is Household living in...
Is Household living in...
Is Household living in...
Is Household living in...
2774
1
THE SAME CLUSTER AS 10 YEARS AGO
2
NEARBY VILLAGE
3
ELSEWHERE IN KAGERA
4
ELSEWHERE IN TANZANIA
5
NEIGHBOURING COUNTRY
6
OTHER COUNTRY
Religion of Head
Religion of Head
Religion of Head
Religion of Head
Religion of Head
2774
1
MUSLIM
2
CATHOLIC
3
PROTESTANT
4
OTHER CHRISTIAN
5
TRADITIONAL
6
OTHER
Head's Tribe
Head's Tribe
Head's Tribe
Head's Tribe
Head's Tribe
2773
1
1
MHAYA
2
MNYAMBO
3
MHANGAZA
4
MSUBI
5
MSHUBI
6
MZINZA
7
OTHER (SPECIFY)
9
Sysmiss
Other specified tribe
Other specified tribe
Other specified tribe
Other specified tribe
Other specified tribe
289
BABUMBIRO
DK
MCHAGA
MCHIGA
MFIPA
MGANDA
MGANDA KYAKA
MGOGO
MHA
MHEHE
MHUTU
MJALUO
MJITA
MKAMBA
MKEREWE
MKIGA
MKINGA
MKOMA
MKURYA
MLONGO
MLULI
MMANYEMA
MMASAI
MNGONI
MNYAKYUSA
MNYAMWEZI
MNYANKORE
MNYARWANDA
MNYASA
MNYIRAMBA
MRONGO
MRUNDI
MRUYA
MSUBWA
MSUKUMA
MSUMBWA
MTUTSI
MUHA
MUHAMBWE
MULONGO
MWIKOMA
MYANKOLE
MYANKORE
MYANKORE(UGANDA
MZANAKI
MZARAMO
MZIBA
MZIGUA
MZINZA
ORTHODOX
Interviewer code
Interviewer code
Interviewer code
Interviewer code
Interviewer code
2774
8
58
39.147
11.468
Day
Day
Day
Day
Day
2774
1
31
15.83
8.465
Month
Month
Month
Month
Month
2774
1
2
3
4
5
6
7
8
9
Year
Year
Year
Year
Year
2774
4
Interview conducted in:
Interview conducted in:
Interview conducted in:
Interview conducted in:
Interview conducted in:
2774
1
KISWAHILI
2
ENGLISH
3
KIHAYA
4
KIHANGAZA
5
KISUBI
6
OTHER (SPECIFY)
9
Other specified language
Other specified language
Other specified language
Other specified language
Other specified language
61
KICHIGA
KIGANDA
KIHA
KINYAMBO
KIRUNDI
KISUKUMA
LUGANDA
MZINZA
NYAMBO
Interpreter?
Interpreter?
Interpreter?
Interpreter?
Interpreter?
2774
1
YES
2
NO
3
9
supervisor code
supervisor code
supervisor code
supervisor code
supervisor code
2745
29
1
99
11.346
15.073
Day
Day
Day
Day
Day
2740
34
1
99
16.712
10.989
Month
Month
Month
Month
Month
2740
34
1
99
5.253
7.915
Year
Year
Year
Year
Year
2739
35
99
4.589
7.464
Remarks
Remarks
Remarks
Remarks
Remarks
1312
4
ANTHRO REMEASURED
ANTHROPOMETRY REMEASURED
BAIS-BIHARAMULO
BAIS-CHATO
BAIS-NSHAMBA
BAIS-NSHANBA
BAISI CHATO
BAISI GEITA
BAISI-BIHARAMULO
BAISI-CHATO
BAISI-NSHAMBA
BAISI-SENGEREMA
BUGABO MICHAEL
DISAPPOINTED WORK DONE ON THIS QUESTIONNAIRE
DONE BY ADELAIDA JOSEPHAT
DONE BY JOHANSEN JOEL
DR SWA-NGARA
DR SWAI NGARA
DR SWAI OFFICE REACH
DR SWAI OFFICE-REACH
DR SWAI OMURUSHAKA
DR SWAI-MWANZA
DR SWAI-MWANZA CITY
DR SWAI-NGARA
DR SWAI-OFFICE REACH
DR SWAI-OMURUSHAKA
DR. SWAI OFFICE REACH
DR. SWAI OFFICE-REACH
DR.SWAI -NGARA
DR.SWAI OFFICE REACH
DR.SWAI OFFICE-REACH
DR.SWAI-NGARA
DR.SWAI-OFFICE REACH
DR.SWAI-OMURUSHAKA
DR.SWAI-RULANDA
GOOD
GOOD ATTEMPTS
GOOD WORK
GPPD WORK
HABIBU-DODMA
HABIBU-DODOMA
HABIBU-MOROGORO
HAMZA-RUBALE
HENLY TEMEKE
HENLY-TEMEKE
HENRY-ARUSHA
HENRY-ILALA
HENRY-KILIMANJARO
HENRY-KINONDONI
HENRY-TEMEKE
INTERVIEW REDONE BY KHDS ADMINISTRATOR
KABITO -KAMACHUMU
KABITO KAMACHUMU
KABITO- OFFICE REACH
KABITO-KAMACHUMU
KABITO-OFFICE REACH
KAMUKULU
KAMUKULU-BENACO
KAMUKULU-BWANGA
KAMUKULU-M.ISLAND
KAMUKULU-M.ISLANDS
KATERELO SIMON
KATERERO SIMON
KYARUZI - MARA
KYARUZI KIZIBA
KYARUZI MABIRA
KYARUZI-KIZIBA
KYARUZI-MABIRA
KYARUZI-MARA
KYURUZI KIZIBA
MABIRA-KYARUZI
MATOVU-DAVIS
MATOVU-MISENYI
MATOVU-MMULEBA
MATOVU-MULEBA
MICHAEL BUGABO
MICHAEL OFFICE REACH
MICHAEL-OFFICE REACH
MICHAEL-RULANDA
MUSIKULA-UGANDA
OFFICE REACH KAMUGISHA
OFFICE REACH YVONNE A
OFFICE REACH-BAISI
OFFICE REACH-KABITO
OFFICE REACH-MUSIKULA
OFFICE REACK-KABITO
OFFICE-REACH DR. SWAI
OFFICE-REACH DR.SWAI
OFFICEREACH YVONNE A
OFFICEREACH-MUSIKULA
RE INTERVIEW WAS DONE BY THE ADMINISTRATOR
SIBAMANA-KIGOMA
SIBOMANA LEONARD
SIBOMANA RUBALE
SIBOMANA-KIGOMA
SIBOMANA-OFFICE REACH
SIBOMANA-RUBALE
SIBOMANA-RUKWA
SIBOMANA-SHINYANGA
SIBOMANA-TABORA
SIBOMNA-OFFICE REACH
SIMON KATERERO
SIMON-IZIGO
SIMON-KATERERO
SIMON-NKWENDA
THE RESPONDENT CLEARLY UNDERSOOD THE INTERVI
THE RESPONDENT REFUSED TO ANSWER SOME SECTIO
WAS NOT A PHHM
Reinterview by supervisor?
Reinterview by supervisor?
Reinterview by supervisor?
Reinterview by supervisor?
Reinterview by supervisor?
2725
49
1
YES
2
NO
9
Sysmiss
operator code
operator code
operator code
operator code
operator code
2772
2
10
59
43.85
9.915
Day
Day
Day
Day
Day
2771
3
1
31
15.712
9.405
Month
Month
Month
Month
Month
2771
3
1
2
3
4
5
6
7
8
9
10
11
12
Sysmiss
Year
Year
Year
Year
Year
2770
4
4
Sysmiss
Remarks
Remarks
Remarks
Remarks
Remarks
780
*VEREGE
4
ALOT OF MISTAKES
ANSWERS FROM RESPONDENT ARE NOT CORRECT
ANTHRO:Q10C I HAVE ENTERED 3 BECAUSE 4 THE P
ANTRO:AGE CHANGED FOR IND.05&06 FROM 1YR TO
AVERAGE
AVEREGE
CHECK ANSWER S14BQ10
CHECK S00Q9B
CHECK S17AQ16&18 ANDS18AQ13
CHECK S18(10&11) THERE IS A MAJOR MISTAKE
CHECK S4Q5,AND S13BQ13
CHECK S5Q12&S11BQ4 FOR CROPS1,10&11
CHECK S7EQ2
CHECK S7G Q1 ID5
CHECK SECTIONS7,8,13,16,17.
CHECKS4Q19IND05
CHECKS5Q10,S16Q2,CROP CODE27
CHEK S4Q18(2)
CHEK S5Q4 IND.09 FOR SKIP OPTION
COMPARE S10 WITH RESPONDENT'S AGE
CORRECTIONS TOBE MADE ON PAGE 10, BUSINES CO
DIDNT WRITE DATE OF MEASUREMENT ON ANTHROPOM
ELEPHANTIASIS IS A DISEASE FOR MALE ONLY NOT
GOO DWORK
GOOD
GOOD JOB
GOOD ORK
GOOD WOK
GOOD WORK
GOOD WORK, NO MISTAKES
GOODQ
GOOOD
HAS ALOT OF MISTAKES
ID 03 IS LEFT BLANK SINCE HEWAS NOT AROUND D
INTERVIEWER DIDNT ADD NEW OUESTIONNAIRE FOR
INTERVIEWER WAS NOT SERIOUS AT ALL
IT HAS GOT MANY MISTAKES, PLEASE CHEK IT
MAJOR MISTAKES FOUND
MAKE CORRECTIONS
MANY SECTIONS ARE NOT FILLED OUT
MOST OF THE SECTIONS ARE LEFT BLANK DUE TO A
MOST SECTIONS ARE INCOMPLETE
NICE
NICE JOB
NICE!!!
NO DATA FOR ID2 BECAUSE WAS NOT AROUND WHEN
NO GPS COORDNATES
NO MISTAKES
NO MISTAKES MADE BY INTERVIEWER
NOT SATISFACTORY
NOT SATISFACTORY/ TOO MUCH MISTAKES BY INTER
ONLY MINOR MISTAKES OCCUR WHICH I HAVE CORRE
PERFECT
PERFECT JOB
RESPONDENT HAS SIX WIVES
REVIEW S17
REVIEW S6AQ9
SAME HH AS 391202
SATISFACTOR
SATISFACTORY
SATSFACTORY
SO MANY MISTAKES
SO MANY MISTAKES BY INTERVIEWER
SOME GAPS WHERE LEFT BLANK DUE TO RESUFAL OF
SOME SECTIONS ARE PARTIAL DONE.
SUPERVISOR CHECKED THE QUESTIONNAIRE 1 DAY B
SUPERVISOR DIDNT FILL OUT THE BOX
THE HEAD IS NOT ACURRENT OR PREVIOUS HHM
THERE ARE SKIPPED QUESTIONS.IMPROVE CONCENTR
THIS HHQ WAS NOT COMPLETED AT ALL
TOO MUCH MISTAKES
VERY GOOD
VERY GOOD JOB
VERY GOOD WORK
WELL DONE
WORSE WORK + INCOMPLETE DATA.
good
good work
ID CODE
ID CODE
ID CODE
ID CODE
ID CODE
2770
4
99
1.757
5.28
INTERVIEWER: HAVE YOU MADE ANY UPDATES ON THE HOUSEHOLD TRAC
INTERVIEWER: HAVE YOU MADE ANY UPDATES ON THE HOUSEHOLD TRAC
INTERVIEWER: HAVE YOU MADE ANY UPDATES ON THE HOUSEHOLD TRAC
INTERVIEWER: HAVE YOU MADE ANY UPDATES ON THE HOUSEHOLD TRAC
INTERVIEWER: HAVE YOU MADE ANY UPDATES ON THE HOUSEHOLD TRAC
2770
4
1
YES
2
NO
9
Sysmiss
SUPERVISOR: IS YOUR HOUSEHOLD TRACKING FORM UPDATED ON THE B
SUPERVISOR: IS YOUR HOUSEHOLD TRACKING FORM UPDATED ON THE B
SUPERVISOR: IS YOUR HOUSEHOLD TRACKING FORM UPDATED ON THE B
SUPERVISOR: IS YOUR HOUSEHOLD TRACKING FORM UPDATED ON THE B
SUPERVISOR: IS YOUR HOUSEHOLD TRACKING FORM UPDATED ON THE B
2748
26
1
YES
2
NO
9
Sysmiss
IS THERE AT LEAST ONE PERSON LISTED ON THE PREVIOUS CHILDREN
IS THERE AT LEAST ONE PERSON LISTED ON THE PREVIOUS CHILDREN
IS THERE AT LEAST ONE PERSON LISTED ON THE PREVIOUS CHILDREN
IS THERE AT LEAST ONE PERSON LISTED ON THE PREVIOUS CHILDREN
IS THERE AT LEAST ONE PERSON LISTED ON THE PREVIOUS CHILDREN
2760
14
1
2
3
5
9
Sysmiss
Is the current household living on the same homestead (same
Is the current household living on the same homestead (same
Is the current household living on the same homestead (same
Is the current household living on the same homestead (same
Is the current household living on the same homestead (same
2751
23
1
YES
2
NO
9
Sysmiss
ARE THERE ANY PREVIOUS HOUSEHOLD MEMBERS 20 YEARS OR OLDER?
ARE THERE ANY PREVIOUS HOUSEHOLD MEMBERS 20 YEARS OR OLDER?
ARE THERE ANY PREVIOUS HOUSEHOLD MEMBERS 20 YEARS OR OLDER?
ARE THERE ANY PREVIOUS HOUSEHOLD MEMBERS 20 YEARS OR OLDER?
ARE THERE ANY PREVIOUS HOUSEHOLD MEMBERS 20 YEARS OR OLDER?
2767
7
1
YES
2
NO
Sysmiss
Have you been visisted by or have you spoken with an agricul
Have you been visisted by or have you spoken with an agricul
Have you been visisted by or have you spoken with an agricul
Have you been visisted by or have you spoken with an agricul
Have you been visisted by or have you spoken with an agricul
1667
1107
1
YES
2
NO
Sysmiss
Has any member or your household, during the past 12 months,
Has any member or your household, during the past 12 months,
Has any member or your household, during the past 12 months,
Has any member or your household, during the past 12 months,
Has any member or your household, during the past 12 months,
1676
1098
1
YES
2
NO
Sysmiss
eggs or tanned skins?
eggs or tanned skins?
eggs or tanned skins?
eggs or tanned skins?
eggs or tanned skins?
1106
1668
1
NO
2
YES
9
DK
Sysmiss
Does anyone in your household operate savings or a bank acco
Does anyone in your household operate savings or a bank acco
Does anyone in your household operate savings or a bank acco
Does anyone in your household operate savings or a bank acco
Does anyone in your household operate savings or a bank acco
2700
74
1
YES
2
NO
9
Sysmiss
How far is it to the nearest market place (kilometers)
How far is it to the nearest market place (kilometers)
How far is it to the nearest market place (kilometers)
How far is it to the nearest market place (kilometers)
How far is it to the nearest market place (kilometers)
2690
84
999
2.281
21.022
How often in the past year did you have problems satisfying
How often in the past year did you have problems satisfying
How often in the past year did you have problems satisfying
How often in the past year did you have problems satisfying
How often in the past year did you have problems satisfying
2690
84
1
NEVER
2
SELDOM
3
SOMETIMES
4
OFTEN
5
ALWAYS
Sysmiss
How many meals does your household usually have per day?
How many meals does your household usually have per day?
How many meals does your household usually have per day?
How many meals does your household usually have per day?
How many meals does your household usually have per day?
2690
84
1
2
3
4
9
Sysmiss
In the past week in how many days did your household consume
In the past week in how many days did your household consume
In the past week in how many days did your household consume
In the past week in how many days did your household consume
In the past week in how many days did your household consume
2690
84
1
2
3
4
5
6
7
8
9
Sysmiss
Do you or members of your household participate in informal
Do you or members of your household participate in informal
Do you or members of your household participate in informal
Do you or members of your household participate in informal
Do you or members of your household participate in informal
1891
883
1
2
9
Sysmiss
Did you or members of your household receive any assistance
Did you or members of your household receive any assistance
Did you or members of your household receive any assistance
Did you or members of your household receive any assistance
Did you or members of your household receive any assistance
2696
78
1
YES
2
NO
9
Sysmiss
IS THERE ANYONE LISTED ON THE NETWORK ROSTER?
IS THERE ANYONE LISTED ON THE NETWORK ROSTER?
IS THERE ANYONE LISTED ON THE NETWORK ROSTER?
IS THERE ANYONE LISTED ON THE NETWORK ROSTER?
IS THERE ANYONE LISTED ON THE NETWORK ROSTER?
2768
6
1
YES
2
NO
3
NO
9
Sysmiss
Did you or anyone in your household receive gifts or loans f
Did you or anyone in your household receive gifts or loans f
Did you or anyone in your household receive gifts or loans f
Did you or anyone in your household receive gifts or loans f
Did you or anyone in your household receive gifts or loans f
1756
1018
1
YES
2
NO
7
9
Sysmiss
Did you or anyone in your household give any loans or gifts
Did you or anyone in your household give any loans or gifts
Did you or anyone in your household give any loans or gifts
Did you or anyone in your household give any loans or gifts
Did you or anyone in your household give any loans or gifts
1757
1017
1
YES
2
NO
9
Sysmiss
ID CODE
ID CODE
ID CODE
ID CODE
ID CODE
2766
8
1
58
39.057
11.494
During the past 12 months, has anyone in your household owne
During the past 12 months, has anyone in your household owne
During the past 12 months, has anyone in your household owne
During the past 12 months, has anyone in your household owne
During the past 12 months, has anyone in your household owne
2717
57
1
YES
2
NO
9
DK
Sysmiss
id
id
id
id
id
2282
492
1
99
1.521
4.605
During the past 12 months, has any member of your household
During the past 12 months, has any member of your household
During the past 12 months, has any member of your household
During the past 12 months, has any member of your household
During the past 12 months, has any member of your household
2714
60
1
YES
2
NO
9
DK
Sysmiss
id
id
id
id
id
1516
1258
1
99
1.933
6.673
Buying and selling
Buying and selling
Buying and selling
Buying and selling
Buying and selling
2717
57
1
YES
2
NO
9
DK
Sysmiss
Manufacturing/processing
Manufacturing/processing
Manufacturing/processing
Manufacturing/processing
Manufacturing/processing
2717
57
1
YES
2
NO
4
9
DK
Sysmiss
Crafts/artisan
Crafts/artisan
Crafts/artisan
Crafts/artisan
Crafts/artisan
2717
57
1
YES
2
NO
9
DK
Sysmiss
Other business
Other business
Other business
Other business
Other business
2716
58
1
YES
2
NO
9
DK
Sysmiss
Independent profession
Independent profession
Independent profession
Independent profession
Independent profession
2717
57
1
YES
2
NO
9
DK
Sysmiss
Fishing
Fishing
Fishing
Fishing
Fishing
2717
57
1
YES
2
NO
9
DK
Sysmiss
ID CODE
ID CODE
ID CODE
ID CODE
ID CODE
2712
62
1
99
2.267
7.482
ID CODE
ID CODE
ID CODE
ID CODE
ID CODE
2274
500
99
1.401
2.957
INTERVIEWER: WAS THIS THE PERSON INTERVIEWED?
INTERVIEWER: WAS THIS THE PERSON INTERVIEWED?
INTERVIEWER: WAS THIS THE PERSON INTERVIEWED?
INTERVIEWER: WAS THIS THE PERSON INTERVIEWED?
INTERVIEWER: WAS THIS THE PERSON INTERVIEWED?
2273
501
1
YES
2
NO
9
Sysmiss
SHAMBAS
SHAMBAS
SHAMBAS
SHAMBAS
SHAMBAS
2275
499
1
2
3
4
5
6
7
8
9
Sysmiss
GARDENS
GARDENS
GARDENS
GARDENS
GARDENS
2276
498
1
2
3
4
Sysmiss
SHAMBAS
SHAMBAS
SHAMBAS
SHAMBAS
SHAMBAS
2276
498
1
2
3
4
5
6
7
8
9
Sysmiss
GARDENS
GARDENS
GARDENS
GARDENS
GARDENS
2275
499
1
2
3
4
5
6
Sysmiss
SHAMBAS
SHAMBAS
SHAMBAS
SHAMBAS
SHAMBAS
2275
499
1
2
3
4
5
6
7
8
9
10
11
12
13
Sysmiss
GARDENS
GARDENS
GARDENS
GARDENS
GARDENS
2276
498
1
2
3
4
5
6
Sysmiss
CODE
CODE
CODE
CODE
CODE
1512
1262
1
99
1.536
2.661
Which buildings and rooms does your household occupy?
Which buildings and rooms does your household occupy?
Which buildings and rooms does your household occupy?
Which buildings and rooms does your household occupy?
Which buildings and rooms does your household occupy?
2701
73
1
SINGLE-FAMILY HOME (OR HUT)
2
FLAT (SELF CONTAINED)
3
ROOMS (NOT SELF-CONTAINED)
4
SEVERAL HUTS/BUILDINGS (SAME COMPOUND)
5
SEVERAL HUTS/BUILDINGS (DIFFERENT COMPOUND)
6
9
DK
Sysmiss
HOW MANY BUILDINGS DOES THIS HOUSEHOLD OCCUPY
HOW MANY BUILDINGS DOES THIS HOUSEHOLD OCCUPY
HOW MANY BUILDINGS DOES THIS HOUSEHOLD OCCUPY
HOW MANY BUILDINGS DOES THIS HOUSEHOLD OCCUPY
HOW MANY BUILDINGS DOES THIS HOUSEHOLD OCCUPY
2700
74
1
2
3
4
5
6
7
9
Sysmiss
How many rooms does your household use for sleeping
How many rooms does your household use for sleeping
How many rooms does your household use for sleeping
How many rooms does your household use for sleeping
How many rooms does your household use for sleeping
2702
72
1
99
2.306
3.006
Do any members of your household own any other dwellings?
Do any members of your household own any other dwellings?
Do any members of your household own any other dwellings?
Do any members of your household own any other dwellings?
Do any members of your household own any other dwellings?
2704
70
1
YES
2
NO
9
DK
Sysmiss
Did anyone in the household rent out these other dwellings i
Did anyone in the household rent out these other dwellings i
Did anyone in the household rent out these other dwellings i
Did anyone in the household rent out these other dwellings i
Did anyone in the household rent out these other dwellings i
382
2392
1
YES
2
NO
9
DK
Sysmiss
How much was received in rental income in the past 12 months
How much was received in rental income in the past 12 months
How much was received in rental income in the past 12 months
How much was received in rental income in the past 12 months
How much was received in rental income in the past 12 months
65
2709
999999999999
15384823953.831
124034708315.237
If you wanted to sell these other dwellings today, how much
If you wanted to sell these other dwellings today, how much
If you wanted to sell these other dwellings today, how much
If you wanted to sell these other dwellings today, how much
If you wanted to sell these other dwellings today, how much
383
2391
10
999999999999
41777254126.016
200336988279.079
What is the source of drinking water for your household?
What is the source of drinking water for your household?
What is the source of drinking water for your household?
What is the source of drinking water for your household?
What is the source of drinking water for your household?
2704
70
1
INDOOR PLUMBING
2
INSIDE STANDPIPE
3
WATER VENDOR
4
WATER TRUCK/TANKER SERVICE
5
NEIGHBOURING HOUSEHOLD
6
PRIVATE OUTSIDE STANDPIPE/TAP
7
PUBLIC STANDPIPE
8
WELL WITH PUMP
9
WELL WITHOUT PUMP
10
RIVER, LAKE, SPRING, POND
11
RAINWATER
12
OTHER (SPECIFY)
99
DK
Sysmiss
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
4
BOTTLE WATER
HOUSE TANK
IN HOTEL
OWN TANK
How much did you pay in the last month to get access to wate
How much did you pay in the last month to get access to wate
How much did you pay in the last month to get access to wate
How much did you pay in the last month to get access to wate
How much did you pay in the last month to get access to wate
356
2418
999999999999
22471913606.093
148421029063.027
DISTANCE
DISTANCE
DISTANCE
DISTANCE
DISTANCE
2387
387
9999
200.017
486.785
DISTANCE CODE
DISTANCE CODE
DISTANCE CODE
DISTANCE CODE
DISTANCE CODE
2361
413
1
FOOT
2
METER
3
KM
4
MILE
9
DK
Sysmiss
Does your dwelling have a toilet or pit latrine?
Does your dwelling have a toilet or pit latrine?
Does your dwelling have a toilet or pit latrine?
Does your dwelling have a toilet or pit latrine?
Does your dwelling have a toilet or pit latrine?
2703
71
1
YES
2
NO
9
DK
Sysmiss
What type of toilet is used by your household?
What type of toilet is used by your household?
What type of toilet is used by your household?
What type of toilet is used by your household?
What type of toilet is used by your household?
2518
256
1
FLUSH TOILET
2
PIT LATRINE
3
PAN/BUCKET
4
OTHER (SPECIFY)
9
DK
Sysmiss
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
What is the main source of lighting for your dwelling?
What is the main source of lighting for your dwelling?
What is the main source of lighting for your dwelling?
What is the main source of lighting for your dwelling?
What is the main source of lighting for your dwelling?
2703
71
1
ELECTRICITY
2
KEROSENE, OIL OR GAS LAMPS
3
CANDLES OR TORCHES (FLASHLIGHTS)
4
TORCHES
5
SOLAR
6
NONE
9
DK
Sysmiss
How much did you pay last month to get access to electricity
How much did you pay last month to get access to electricity
How much did you pay last month to get access to electricity
How much did you pay last month to get access to electricity
How much did you pay last month to get access to electricity
327
2447
999999999999
85626915515.645
280241166122.75
FIRST
FIRST
FIRST
FIRST
FIRST
2695
79
1
WOOD
2
CHARCOAL
3
GAS
4
ELECTRICITY
5
KEROSENE
6
BIOGAS
7
OTHER (SPECIFY)
9
DK
Sysmiss
OTHER SPECIFIED (FIRST)
OTHER SPECIFIED (FIRST)
OTHER SPECIFIED (FIRST)
OTHER SPECIFIED (FIRST)
OTHER SPECIFIED (FIRST)
15
00
COOKING STONES
DOESN'T COOK
DOESNT COOK
HOTEL
MAFIGA
NO KITCHEN
NONE
NOT COOKING
THREE COOKING STONES
SECOND
SECOND
SECOND
SECOND
SECOND
618
2156
1
WOOD
2
CHARCOAL
3
GAS
4
ELECTRICITY
5
KEROSENE
6
BIOGAS
7
OTHER (SPECIFY)
9
DK
Sysmiss
OTHER SPECIFIED (SECOND)
OTHER SPECIFIED (SECOND)
OTHER SPECIFIED (SECOND)
OTHER SPECIFIED (SECOND)
OTHER SPECIFIED (SECOND)
3
MAFIGA
THREE COOKING STONE
WOOD
Firewood
Firewood
Firewood
Firewood
Firewood
2703
71
999999999999
2219757627.8
47070672425.582
Charcoal
Charcoal
Charcoal
Charcoal
Charcoal
2697
77
999999999999
2595477037.648
50889096763.247
Kerosene
Kerosene
Kerosene
Kerosene
Kerosene
2703
71
999999999999
2959675263.835
54332374147.934
Other fuel for cooking or lighting
Other fuel for cooking or lighting
Other fuel for cooking or lighting
Other fuel for cooking or lighting
Other fuel for cooking or lighting
2701
73
999999999999
1480933049.427
38461506815.245
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
69
999999999999999999999999999999
COKING OIL
COOKING
COOKING OIL
COOKING OIL NOT BLANK
D.K
DIESEL
DK
GAS
KEROSENE
KUWASHIA
PALM OIL
UNKNOWN
VEGETABLE OIL
CHECK THE HOUSEHOLD TRACKING FORM QUESTION 7, ARE THERE ANY
CHECK THE HOUSEHOLD TRACKING FORM QUESTION 7, ARE THERE ANY
CHECK THE HOUSEHOLD TRACKING FORM QUESTION 7, ARE THERE ANY
CHECK THE HOUSEHOLD TRACKING FORM QUESTION 7, ARE THERE ANY
CHECK THE HOUSEHOLD TRACKING FORM QUESTION 7, ARE THERE ANY
2704
70
1
YES
2
NO
4
9
DK
Sysmiss
In the past 10 years were there any inheritances received by
In the past 10 years were there any inheritances received by
In the past 10 years were there any inheritances received by
In the past 10 years were there any inheritances received by
In the past 10 years were there any inheritances received by
2692
82
1
YES
2
NO
9
DK
Sysmiss
Please tell me the total cash received from this bride price
Please tell me the total cash received from this bride price
Please tell me the total cash received from this bride price
Please tell me the total cash received from this bride price
Please tell me the total cash received from this bride price
423
2351
999999999999
14184409046.09
118390604557.326
Please estimate the value of goods and assets received from
Please estimate the value of goods and assets received from
Please estimate the value of goods and assets received from
Please estimate the value of goods and assets received from
Please estimate the value of goods and assets received from
423
2351
999999999999
9456887721.508
96896998943.831
Please estimate the value of any land given as bride price/i
Please estimate the value of any land given as bride price/i
Please estimate the value of any land given as bride price/i
Please estimate the value of any land given as bride price/i
Please estimate the value of any land given as bride price/i
424
2350
999999999999
9434953936.547
96783449091.578
In the last 10 years did you or anyone in your household rec
In the last 10 years did you or anyone in your household rec
In the last 10 years did you or anyone in your household rec
In the last 10 years did you or anyone in your household rec
In the last 10 years did you or anyone in your household rec
2704
70
1
YES
2
NO
9
DK
Sysmiss
CODE:
CODE:
CODE:
CODE:
CODE:
2692
82
1
99
1.884
4.646
WAS THIS PERSON INTERVIEWED?
WAS THIS PERSON INTERVIEWED?
WAS THIS PERSON INTERVIEWED?
WAS THIS PERSON INTERVIEWED?
WAS THIS PERSON INTERVIEWED?
2691
83
1
YES
2
NO
9
Sysmiss
DAY (CURRENT)
DAY (CURRENT)
DAY (CURRENT)
DAY (CURRENT)
DAY (CURRENT)
2691
83
99
16.052
8.748
MONTH (CURRENT)
MONTH (CURRENT)
MONTH (CURRENT)
MONTH (CURRENT)
MONTH (CURRENT)
2692
82
1
99
4.523
2.803
YEAR (CURRENT)
YEAR (CURRENT)
YEAR (CURRENT)
YEAR (CURRENT)
YEAR (CURRENT)
2692
82
4
Sysmiss
MONTH (LAST)
MONTH (LAST)
MONTH (LAST)
MONTH (LAST)
MONTH (LAST)
2691
83
1
2
3
4
5
6
7
8
12
Sysmiss
YEAR (LAST)
YEAR (LAST)
YEAR (LAST)
YEAR (LAST)
YEAR (LAST)
2691
83
2
3
4
5
6
Sysmiss
MONTH (FIRST)
MONTH (FIRST)
MONTH (FIRST)
MONTH (FIRST)
MONTH (FIRST)
2691
83
1
2
3
4
5
6
7
8
9
12
Sysmiss
YEAR (FIRST)
YEAR (FIRST)
YEAR (FIRST)
YEAR (FIRST)
YEAR (FIRST)
2691
83
3
4
12
Sysmiss
JAN
JAN
JAN
JAN
JAN
603
2171
1
12
Sysmiss
FEB
FEB
FEB
FEB
FEB
817
1957
1
2
12
Sysmiss
MAR
MAR
MAR
MAR
MAR
821
1953
1
12
Sysmiss
APR
APR
APR
APR
APR
715
2059
1
2
12
Sysmiss
MAY
MAY
MAY
MAY
MAY
634
2140
1
99
6.256
6.611
JUN
JUN
JUN
JUN
JUN
712
2062
1
99
6.375
6.501
JUL
JUL
JUL
JUL
JUL
631
2143
1
99
7.623
6.524
AUG
AUG
AUG
AUG
AUG
261
2513
1
12
Sysmiss
SEPT
SEPT
SEPT
SEPT
SEPT
2
2772
12
Sysmiss
OCT
OCT
OCT
OCT
OCT
2774
Sysmiss
NOV
NOV
NOV
NOV
NOV
2774
Sysmiss
DEC
DEC
DEC
DEC
DEC
185
2589
1
12
Sysmiss
JAN
JAN
JAN
JAN
JAN
2688
86
1
MASIKA RAINS
2
VULI RAINS
3
KIANGAZA
9
DK
Sysmiss
FEB
FEB
FEB
FEB
FEB
2688
86
1
MASIKA RAINS
2
VULI RAINS
3
KIANGAZA
9
DK
Sysmiss
MAR
MAR
MAR
MAR
MAR
2688
86
1
MASIKA RAINS
2
VULI RAINS
3
KIANGAZA
9
DK
Sysmiss
APR
APR
APR
APR
APR
2688
86
1
MASIKA RAINS
2
VULI RAINS
3
KIANGAZA
9
DK
Sysmiss
MAY
MAY
MAY
MAY
MAY
2688
86
1
MASIKA RAINS
2
VULI RAINS
3
KIANGAZA
9
DK
Sysmiss
JUN
JUN
JUN
JUN
JUN
2688
86
1
MASIKA RAINS
2
VULI RAINS
3
KIANGAZA
9
DK
Sysmiss
JUL
JUL
JUL
JUL
JUL
2687
87
1
MASIKA RAINS
2
VULI RAINS
3
KIANGAZA
9
DK
Sysmiss
AUG
AUG
AUG
AUG
AUG
2686
88
1
MASIKA RAINS
2
VULI RAINS
3
KIANGAZA
9
DK
Sysmiss
SEPT
SEPT
SEPT
SEPT
SEPT
2687
87
1
MASIKA RAINS
2
VULI RAINS
3
KIANGAZA
9
DK
Sysmiss
OCT
OCT
OCT
OCT
OCT
2687
87
1
MASIKA RAINS
2
VULI RAINS
3
KIANGAZA
9
DK
Sysmiss
NOV
NOV
NOV
NOV
NOV
2687
87
1
MASIKA RAINS
2
VULI RAINS
3
KIANGAZA
9
DK
Sysmiss
DEC
DEC
DEC
DEC
DEC
2687
87
1
MASIKA RAINS
2
VULI RAINS
3
KIANGAZA
9
DK
Sysmiss
During the past 12 months, have the members of your househol
During the past 12 months, have the members of your househol
During the past 12 months, have the members of your househol
During the past 12 months, have the members of your househol
During the past 12 months, have the members of your househol
2691
83
1
YES
2
NO
9
DK
Sysmiss
Would you be able to raise 20,000 shillings in one week if y
Would you be able to raise 20,000 shillings in one week if y
Would you be able to raise 20,000 shillings in one week if y
Would you be able to raise 20,000 shillings in one week if y
Would you be able to raise 20,000 shillings in one week if y
2701
73
1
YES
2
NO
7
9
DK
Sysmiss
How would you raise it?
How would you raise it?
How would you raise it?
How would you raise it?
How would you raise it?
1490
1284
1
Selling durable goods/equipment
2
Selling land/house
3
Selling stocks or crops
4
Selling livestock
5
From savings
6
From relatives/friends in the same village/town
7
From relatives/friends in a different location
8
Taking extra work
9
DK
Sysmiss
How would you raise it?
How would you raise it?
How would you raise it?
How would you raise it?
How would you raise it?
777
1997
1
Selling durable goods/equipment
2
Selling land/house
3
Selling stocks or crops
4
Selling livestock
5
From savings
6
From relatives/friends in the same village/town
7
From relatives/friends in a different location
8
Taking extra work
9
Sysmiss
Do you know a friend or relative willing and able to give 20
Do you know a friend or relative willing and able to give 20
Do you know a friend or relative willing and able to give 20
Do you know a friend or relative willing and able to give 20
Do you know a friend or relative willing and able to give 20
1829
945
1
YES
2
NO
9
DK
Sysmiss
OBSERVATIONS ON THE INTERVIEW PART 1
OBSERVATIONS ON THE INTERVIEW PART 1
OBSERVATIONS ON THE INTERVIEW PART 1
OBSERVATIONS ON THE INTERVIEW PART 1
OBSERVATIONS ON THE INTERVIEW PART 1
8
1
1 1
2
CHECKS4Q5&S13BQ13
OBSERVATIONS ON THE INTERVIEW PART 2
OBSERVATIONS ON THE INTERVIEW PART 2
OBSERVATIONS ON THE INTERVIEW PART 2
OBSERVATIONS ON THE INTERVIEW PART 2
OBSERVATIONS ON THE INTERVIEW PART 2
1
ROPES
OBSERVATIONS ON THE INTERVIEW PART 3
OBSERVATIONS ON THE INTERVIEW PART 3
OBSERVATIONS ON THE INTERVIEW PART 3
OBSERVATIONS ON THE INTERVIEW PART 3
OBSERVATIONS ON THE INTERVIEW PART 3
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
1762
1012
1
Sysmiss
Price Questionnaire Code
Price Questionnaire Code
Price Questionnaire Code
Price Questionnaire Code
Price Questionnaire Code
712
2062
1
99
27.722
15.902
Other fruits produced
Other fruits produced
Other fruits produced
Other fruits produced
Other fruits produced
63
/
21
25
999999999999999
BAMIA
FRUITS
GROUNDNUTS
GUAVA
GUAVA'SUGAR CANES AND JUGFRUIT
GUAVA/SUGAR CANE
JACK FRUIT
JACK FRUIT/GUAVA
JACK FRUITS
JACK FRUITS/GUAVA
JACKFRUIT/SUGAR CANE
JACKFRUIT/SUGARCANE
JACKFRUITS
JACKFRUITS/GUAVA
PALM FRUIT
PALM FRUITS
SPINACH
SUGAR CANE
SUGAR CANE, GUAVA
SUGAR CANE,GUAVE,JUCK FRUITS.
SUGAR CANE/GUAVA
SUGARCANE
YAMS
Other produce produced
Other produce produced
Other produce produced
Other produce produced
Other produce produced
159
2
CHINESE
COCONUTS
G/NUTS
GROUND NUTS
GROUNDNUT
GROUNDNUTS
GROUNDNUTS/SPINACH
GROUNDNUTS/YAMS
GROUNNUTS
JACK FRUIT
PUMPKIN
PUMPKIN/GROUNDNUTS
PUMPKIN/YAMS
PUMPKINS
SPINACH
SUGARCANE
SUGERCANE
SUNFLOWER
YAMS
g/nuts
groundnuts
grroundnuts
Other hand tools used
Other hand tools used
Other hand tools used
Other hand tools used
Other hand tools used
224
1
3
AKACHUMU
FYEKEO
HAMMER
ID.12 TEZO
MACHEKO
MTALIMBO
RAKE
RAKE/TEZO
RUABYO
RWABYO
SAW/RAKE
SHENDE
SICKLE
SPEAR
TEZO
WATER CANE
Other animals raised
Other animals raised
Other animals raised
Other animals raised
Other animals raised
1
KANGA
Other eggs or animal products
Other eggs or animal products
Other eggs or animal products
Other eggs or animal products
Other eggs or animal products
Other livestock expenditures
Other livestock expenditures
Other livestock expenditures
Other livestock expenditures
Other livestock expenditures
Other durable goods
Other durable goods
Other durable goods
Other durable goods
Other durable goods
32
999999999999
BED
BED,MATRESS
BED/CUPBOARD
BEDS
CHAIRS
CHAIRS,TABLE,COACH
CHAIRS,TABLES&CUPBOARDS
CHAIRS/TABLE/CUPBOARD
COMPUTER
CUPBOARD
CUPBOARD,BED,MATRESS
CUPBOARD,UTENSALS
CUPBOARD,UTENSALS,CHAIRS,TABLE
HOUSE TOOLS
ID.15 YOMBO
KEROSINE
MAT
MATRESS
MATRESS,BED
MATRESS,CUPBOARD
MATRESS/BED
MATRESSES/BEDS/CUPBOARD
SOFA
SOFA SET
UTENSALS
UTENSALS,CUPBOARD
Other foods consumed
Other foods consumed
Other foods consumed
Other foods consumed
Other foods consumed
28
CASSAVA FLOUR
DRIED CASSAVA
GROUNDNUTS
ID.21:MAIZE FLOUR
ID.21CASSAVA FLOUR
MAGIMBI
MCHICHA (GREEN VEGETABLE)
MILLET
PUMPKIN
PUMPKINS
RWABYO
YAMS
YAMS/PUMPKIN
Other foods consumed
Other foods consumed
Other foods consumed
Other foods consumed
Other foods consumed
33
COCONUTS
CUCUMBERS
FLOUR
GONJA
MAIZE FLOUR
SARDINE
SARDINES
SOYA BEANS
SUPERDIP
TEA
TEA LEAVES
TEE LEAVES
Other foods consumed
Other foods consumed
Other foods consumed
Other foods consumed
Other foods consumed
21
/
JUICE COLA
SARDINES
TEA
TEA LEAVES
384
Data entry entered si2be4 wrongly as missing instead of 099, corrected
Data entry entered si2be4 wrongly as missing instead of 999, corrected
Data entry entered si2bs4 wrongly as missing instead of 999, corrected
GPS coordinates missing
HH located on country border
HH located on district border
HH located on island
HH located on lake-shore
HH located on peninsula
Interviewer entered wrong district name, district corrected
Missing GPS data
Wrong GPS coordinates
district borders changed recently
si2be3 coordinate entered wrong, corrected
si2bs2 coordinate entered wrong, corrected
2
DIFF HOUSEHOLD IN BASELINE FOR RESP ID02
55480
55480
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
18
19
20
Result DEO
Result DEO
Result DEO
Result DEO
Result DEO
55470
10
1
SATISFACTORY
2
CORRECTIONS REQUIRED
Sysmiss
Date Day
Date Day
Date Day
Date Day
Date Day
49870
5610
1
99
15.951
8.663
Date Month
Date Month
Date Month
Date Month
Date Month
49870
5610
99
4.613
3.135
Date Year
Date Year
Date Year
Date Year
Date Year
49869
5611
3
99
4.05
2.175
Result interviewer
Result interviewer
Result interviewer
Result interviewer
Result interviewer
49887
5593
1
COMPLETE
2
PARTIAL
3
NOT APPLICABLE
9
Sysmiss
Result Supervisor
Result Supervisor
Result Supervisor
Result Supervisor
Result Supervisor
49097
6383
1
SATISFACTORY
2
TO BE COMPLETED
3
TO BE REDONE
8
9
Sysmiss
Why was data entry not satisfactory? Part 1
Why was data entry not satisfactory? Part 1
Why was data entry not satisfactory? Part 1
Why was data entry not satisfactory? Part 1
Why was data entry not satisfactory? Part 1
3065
Why was data entry not satisfactory? Part 2
Why was data entry not satisfactory? Part 2
Why was data entry not satisfactory? Part 2
Why was data entry not satisfactory? Part 2
Why was data entry not satisfactory? Part 2
101
& S16BQ4 SKIPPING OPTION FOR ITEM 07
(17) MISSING RECORDS
(23),(25)(26),(27),(28),(34),(38),(39)RECORDS MISSING,S16C2Q1JAN,FEB,MAR,JU
(5),S7EQ1,3,6,8(5)RECORDS MISSING
,3,6,8(7)SKIPPED OVER,S7GQ1(3)THE ENTRY IS INCOMPATIBLE WITH AGE REPORTED I
,CHECK DATA MISSING
.
01& 02 & 04-08
07
1
18AQ9,10,11,12,13,14,15(1)RECORDS MISSING,S18AQ16,17,18,19,20,21(1)RECORDS
19 Q7 NO ANSWERS FOR ITEM 31-33
2 Q2 NO ANSWER FOR ITEM 08 IN OCTOBER
2 YEARS
2500000,S5Q23A,B,C,D,E,F,G(2)RECORDS MISSING
2B,8A(1)RECORDS MISSING
3),(4)MISPELLED SWEET POTATO INSTEAD OF SWEET POTATOES
4
5
5&6,QUESTION SKIPPED IN CROP CODE 35
6C1Q2JAN,FEB,MAY,JUN,JULY,AUG,SEPT,OCT,NOV,DEC(1),(11),(13),(23),(25),(26),
6C2Q1(5).
7
7 for all individuals.
7A QUESTION 17 WRONG SKIP
8 NO ANSWER FOR IND 03 & 05
90 DAYS
980, 1986 AND THE PROGRAM SHOWS THE YEARS SHOULD BE BETWEEN 1990 TO 2004
A
A RECORD MISSING
AGE CORRECTED FOR IND 03
ALSO S16C1 QN 1 ITEM 28 THE ANS IS 1 BUT THERE IS DATA FOR THE FOLLOWING QN
ANS
ANSWER (Q2)
APR-DEC(1),(26),(27)(28),(31),(37),(38)RECORDS MISSING,S16CQ2APR-DEC(1),(4)
ART C Q6 NO AMOUNT INDICATED FOR FOR IND. 05
ATE OF VERIFICATION
CK WRONG DATA
CLEMENCE AND ALSO MISPELLED WILIAM INSTEAD OF WILLIAM
CODE FOR IND 03 & 10 IS NOT CORRECT
CT THE EXISTENCE OF THIS ORGANISATION
D.
DATA CONCERNING HIM
DE01,CHECK DATA MISSING AND WRONG DATA
DQ5MTS(1)RECORD MISSING
E ENTRY IS INCOMPATIBLE WITH WHAT WAS ANSWERED ON Q2S1
EARS.
ECORDS MISSING
ECT ( ITEM 02 )
ELL
EM 14
ENTRY IS NOT COMPATIBLE WITH AGE REPORTED IN S1Q2
ER
ERE
FOR IND 01
FQ1(5).
G
HE NETWORK ROSTER
LE ONLY
MISTAKE MADE AND DATA MISSING.
MONY COULD NOT BE WRITTEN IN A CELL
NG
NG,S7AQ6(5),S7AQ6(5)RECORDS MISSING,S7AQ8,S7AQ9(5)WRONG RECORDS,S7EQ5(5)S7G
NIMAL 06
O ANSWER
OMPATIBLE WITH THIS ENTRY
ONG DATA
P CODES08&40
Q4S7A, S7CQ1(2),(3)RECORDS MISSING
Q7(39)RECORDS MISSING
QUESTION 4
R ID MISSING
R ITEM 19
RNING HIM SHOULD NOT BE THERE
ROUP 2 &3
RRECT
RS.
S MISSING
S11BQ7(15),(16)RECORDS MISSING
S12AQ1 THERE IS MISSING INFORMATION.
SHOW THE MEMBER OF THE SECOND BUSINESS
SING,S16C1Q6(35)RECORD MISSING
SKIP OVER.
SKIPPING OPTION S16C1 Q5 ITEM 08,09,13,14,18,31,36,37 SKIPPING OPTION
SSING.
SURED
SWERS FOR IND 05
T
UATION SHEET,OK?
UDY THE SAME SCHOOL.
UNIT(3)THE ENTRY IS TOO LOW TO BE CHRONIC,S6CQ1(5)RECORD MISSING
UREMENTS
VER 5 YEARS
WER FOR NOVEMBER
WERS FOR IND 08
WHEN YOU CAN SKIP.
WS)
YEARS.
ame individuals.
as partially. Check S7DQ2
Why was data entry not satisfactory? Part 3
Why was data entry not satisfactory? Part 3
Why was data entry not satisfactory? Part 3
Why was data entry not satisfactory? Part 3
Why was data entry not satisfactory? Part 3
7
(27),(28),(29),(31),(33),(34)AND S16CQ2(4)(6),(7)
,(6),(8),(10),(12)RECORDS MISSING
MISSING,S18AQ16,17,18,19,20,21(3)RECORDS MISSING
N S1Q2
N,JUL,AUG,SEPT,OCT,NOV,DEC(3),(4),(6)(12)RECORD MI
Q1(3),S7GQ1(4)SKIPPED OVER
S
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
35240
20240
1
Sysmiss
13126
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
13126
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
18
19
20
21
22
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
8816
4310
1
Sysmiss
AGE IN YEARS
AGE IN YEARS
AGE IN YEARS
AGE IN YEARS
AGE IN YEARS
13125
1
105
21.251
18.251
SEX
SEX
SEX
SEX
SEX
13126
1
MALE
2
FEMALE
PUT X IF CURRENT HH MEMBER
PUT X IF CURRENT HH MEMBER
PUT X IF CURRENT HH MEMBER
PUT X IF CURRENT HH MEMBER
PUT X IF CURRENT HH MEMBER
12869
X
ID CODE
ID CODE
ID CODE
ID CODE
ID CODE
13126
1
22
3.633
2.534
PUT X IF PREVIOUS HH MEMBER
PUT X IF PREVIOUS HH MEMBER
PUT X IF PREVIOUS HH MEMBER
PUT X IF PREVIOUS HH MEMBER
PUT X IF PREVIOUS HH MEMBER
4569
X
What is ... relationship to you, the household head?
What is ... relationship to you, the household head?
What is ... relationship to you, the household head?
What is ... relationship to you, the household head?
What is ... relationship to you, the household head?
13121
5
1
Head
2
wife of husband
3
Son/daughter
4
Grandchild
5
father or mother
6
sister or brother
7
niece or nephew
8
son/daughter in law
9
brother/sister in law
10
father/mother in law
11
other relative of head or his/her spouse
12
servant/makubaliano
13
servant/mkataba
14
tenant/boarder
15
other unrelated person
20
child in boarding school
30
99
Sysmiss
How old is ... YRS
How old is ... YRS
How old is ... YRS
How old is ... YRS
How old is ... YRS
13121
5
105
21.255
18.255
How old is ... MOS
How old is ... MOS
How old is ... MOS
How old is ... MOS
How old is ... MOS
2360
10766
99
6.368
11.528
What is the present marital status of ...?
What is the present marital status of ...?
What is the present marital status of ...?
What is the present marital status of ...?
What is the present marital status of ...?
7759
5367
1
married
2
partner
3
divorced
4
seperated
5
widow/widower
6
never married
9
Sysmiss
Does the partner(s) of ... live in this household
Does the partner(s) of ... live in this household
Does the partner(s) of ... live in this household
Does the partner(s) of ... live in this household
Does the partner(s) of ... live in this household
4239
8887
1
YES
2
NO
9
DK
Sysmiss
Spouse ID: 1st
Spouse ID: 1st
Spouse ID: 1st
Spouse ID: 1st
Spouse ID: 1st
4005
9121
1
2
3
4
5
6
7
8
9
10
11
12
13
Sysmiss
Spouse ID: 2nd
Spouse ID: 2nd
Spouse ID: 2nd
Spouse ID: 2nd
Spouse ID: 2nd
42
13084
1
3
4
5
6
7
8
9
10
12
13
15
Sysmiss
Spouse ID: 3rd
Spouse ID: 3rd
Spouse ID: 3rd
Spouse ID: 3rd
Spouse ID: 3rd
5
13121
4
7
13
19
Sysmiss
Spouse ID: 4th
Spouse ID: 4th
Spouse ID: 4th
Spouse ID: 4th
Spouse ID: 4th
1
13125
6
Sysmiss
For how many months during the past 12 months has he or she
For how many months during the past 12 months has he or she
For how many months during the past 12 months has he or she
For how many months during the past 12 months has he or she
For how many months during the past 12 months has he or she
13123
3
99
1.121
5.459
Do you expect that ... will be residing here in 6 months fro
Do you expect that ... will be residing here in 6 months fro
Do you expect that ... will be residing here in 6 months fro
Do you expect that ... will be residing here in 6 months fro
Do you expect that ... will be residing here in 6 months fro
494
12632
1
YES
2
NO
9
DK
Sysmiss
current household member?
current household member?
current household member?
current household member?
current household member?
13126
1
YES
2
NO
9
DK
is this a previous household member?
is this a previous household member?
is this a previous household member?
is this a previous household member?
is this a previous household member?
13126
1
YES
2
NO
9
DK
S1Q10 duplicate:repondent is polygamist
S1Q10 duplicate:repondent is polygamist
S1Q10 duplicate:repondent is polygamist
S1Q10 duplicate:repondent is polygamist
S1Q10 duplicate:repondent is polygamist
25
13101
1
Sysmiss
Explanations for duplciates panel respondents
Explanations for duplciates panel respondents
Explanations for duplciates panel respondents
Explanations for duplciates panel respondents
Explanations for duplciates panel respondents
36
??
Considered HH head but lives alone when working
Considered Head by wife but gone for 11 mos (s1q6)
Just entered each household
Mistakenly tracked
Moved during fieldwork
Moved into another hh during survey
On roster but lives alone when working
Out of hh for 12mos but considered HH head
School child home for holidays
Sister considers him HH head
Stays with Grandma during business
KHDS1991-94 CLUSTER (S1Q10)
KHDS1991-94 CLUSTER (S1Q10)
KHDS1991-94 CLUSTER (S1Q10)
KHDS1991-94 CLUSTER (S1Q10)
KHDS1991-94 CLUSTER (S1Q10)
4573
8553
1
51
25.696
14.692
KHDS1991-94 HH CODE IN CLUSTER (S1Q10)
KHDS1991-94 HH CODE IN CLUSTER (S1Q10)
KHDS1991-94 HH CODE IN CLUSTER (S1Q10)
KHDS1991-94 HH CODE IN CLUSTER (S1Q10)
KHDS1991-94 HH CODE IN CLUSTER (S1Q10)
4573
8553
1
44
10.363
6.398
KHDS1991-94 ID CODE IN HH (S1Q10)
KHDS1991-94 ID CODE IN HH (S1Q10)
KHDS1991-94 ID CODE IN HH (S1Q10)
KHDS1991-94 ID CODE IN HH (S1Q10)
KHDS1991-94 ID CODE IN HH (S1Q10)
4573
8553
1
36
5.205
3.694
KHDS 6-digit PERSON PANEL ID
KHDS 6-digit PERSON PANEL ID
KHDS 6-digit PERSON PANEL ID
KHDS 6-digit PERSON PANEL ID
KHDS 6-digit PERSON PANEL ID
4573
13096
KHDS1991-94 CLUSTER
KHDS1991-94 CLUSTER
KHDS1991-94 CLUSTER
KHDS1991-94 CLUSTER
KHDS1991-94 CLUSTER
13096
1
51
26.165
14.901
KHDS1991-94 HH CODE IN CLUSTER
KHDS1991-94 HH CODE IN CLUSTER
KHDS1991-94 HH CODE IN CLUSTER
KHDS1991-94 HH CODE IN CLUSTER
KHDS1991-94 HH CODE IN CLUSTER
13096
1
44
10.664
6.758
KHDS1991-94 CID CODE IN HH
KHDS1991-94 CID CODE IN HH
KHDS1991-94 CID CODE IN HH
KHDS1991-94 CID CODE IN HH
KHDS1991-94 CID CODE IN HH
13096
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
SEX
SEX
SEX
SEX
SEX
13094
2
1
MALE
2
FEMALE
9
DK
Sysmiss
CURRENT AGE
CURRENT AGE
CURRENT AGE
CURRENT AGE
CURRENT AGE
13086
10
1
99
35.541
12.963
Does at least one parent of ... live in the current househol
Does at least one parent of ... live in the current househol
Does at least one parent of ... live in the current househol
Does at least one parent of ... live in the current househol
Does at least one parent of ... live in the current househol
13091
5
1
YES
2
NO
5
9
Sysmiss
Where does he/she currently reside
Where does he/she currently reside
Where does he/she currently reside
Where does he/she currently reside
Where does he/she currently reside
2270
10826
SAME HOUSEHOLD
1
SAME VILLAGE
2
NEARBY VILLAGE
3
KAGERA
4
TANZANIA
5
NEIGHBOURING COUNTRY
6
ANOTHER COUNTRY
7
DIED (NEXT CHILD)
8
DON'T KNOW (NEXT CHILD)
9
Sysmiss
IF RESPONSE TO QUESTION 5 IS...
IF RESPONSE TO QUESTION 5 IS...
IF RESPONSE TO QUESTION 5 IS...
IF RESPONSE TO QUESTION 5 IS...
IF RESPONSE TO QUESTION 5 IS...
908
1172
1182
1212
1222
1232
1282
1322
1332
1342
1352
1362
1382
1402
1422
1492
1612
2192
2212
2262
2292
2322
2362
2372
2382
2442
2472
2542
2552
2602
2622
AMERICA
ARUSHA
BIHARAMULO
BIHARAMURO
BK-KASTAM
BOTSWANA
BUKOB RURAL
BUKOBA
BUKOBA (U)
BUKOBA ARBAN
BUKOBA RURAL
BUKOBA RURAL IGOMBE
BUKOBA TOWN
BUKOBA URBAN
BUKOBA(U)
BURUNDI
D'SALAAM
DA ES SALAAM
DAR
DAR ES SAALAM
DAR ES SALAAM
DAR ES SALAAM-KINONDONI
DAR-ES-SALAAM
DK
DODOMA
DSM
GEITA
ILALA
IRINGA
ITAWA
KAGERA
KAHAMA
KAMPALA-UGANDA
KARAGWE
KATORO
KENYA
KEREBE
KIGOMA
KILIMANJARO
KINONDONI
KIYANJA KAIBANJA
KIYANJA KASHENGE
LINDI
MAFUMBO
MAKONGOLA
MARA
MASAKA-UGANDA
MAZINGA KISIWANI
MBARARA-UGANDA
MBEYA
MOROGORO
MOSHI
MOZAMBIQUE
MTWARA
MUHUTWE
MULEBA
MUSIRA
MUSOMA
MWANZA
MWANZA GEITA
MWANZA TOWN
NGARA
NGARA RUSUMO
NGARA TOWN
PWANI
RUKWA
RUKWA-4
RUVUMA
RWANDA
SENGEREMA
SHINYANGA
SINGIDA
SINZA
SONGEA
SOUTH AFRICA
SWEDEN
TABATA
TABORA
TANGA
UGANDA
UNITED STATES OF AMERICA
UNKNOWN
USA
ZANZIBAR
Is ... working?
Is ... working?
Is ... working?
Is ... working?
Is ... working?
1781
11315
1
YES
2
NO
3
DON'T KNOW
9
Sysmiss
Does ... work for the government, a party, or a parastratal
Does ... work for the government, a party, or a parastratal
Does ... work for the government, a party, or a parastratal
Does ... work for the government, a party, or a parastratal
Does ... work for the government, a party, or a parastratal
1012
12084
1
government, a party or a parastratal organisation
2
work for a private employer
3
self-employed in business
4
self-employed in farming
5
other (specify)
9
DK
99
Sysmiss
Other work for
Other work for
Other work for
Other work for
Other work for
34
BAR MAID
CARPENTER
CASUAL LABOUR
CHURCH WORKER
COOK
EMPLOYED BY INDIVIDUAL
FARMER
FISHERMAN
HOUSEGIRL
MASON
MOTOR VEHICLE ENGINEER
SELF EMPLOYED
SHOPKEEPER
STUDENT
TAILOR
UNITED NATIONS
V.E.O
What was the highest grade he/she completed?
What was the highest grade he/she completed?
What was the highest grade he/she completed?
What was the highest grade he/she completed?
What was the highest grade he/she completed?
1781
9999999
A1
A2
ADULTED
DK
KORANIC
NONE
P1
P2
P3
P4
P5
P6
P7
P8
S1
S10
S2
S3
S4
S6
U1
U2
U3
U4
U5
U6
U7
p6
s2
s3
s4
ADD THE NAME AND ID CODE TO THE NETWORK ROSTER
ADD THE NAME AND ID CODE TO THE NETWORK ROSTER
ADD THE NAME AND ID CODE TO THE NETWORK ROSTER
ADD THE NAME AND ID CODE TO THE NETWORK ROSTER
ADD THE NAME AND ID CODE TO THE NETWORK ROSTER
1784
9
X
RECORD ID FROM CURRENT HH ROSTER
RECORD ID FROM CURRENT HH ROSTER
RECORD ID FROM CURRENT HH ROSTER
RECORD ID FROM CURRENT HH ROSTER
RECORD ID FROM CURRENT HH ROSTER
193
12903
1
2
3
4
5
6
7
8
9
10
11
12
Sysmiss
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
8385
4711
1
Sysmiss
11238
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
11238
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
18
19
20
21
22
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
8625
2613
1
Sysmiss
Is your natural father living in this household?
Is your natural father living in this household?
Is your natural father living in this household?
Is your natural father living in this household?
Is your natural father living in this household?
11237
1
1
YES
2
NO
9
DK
Sysmiss
COPY THE FATHER'S INDENTIFICATION CODE
COPY THE FATHER'S INDENTIFICATION CODE
COPY THE FATHER'S INDENTIFICATION CODE
COPY THE FATHER'S INDENTIFICATION CODE
COPY THE FATHER'S INDENTIFICATION CODE
4492
6746
1
99
1.691
7.725
WAS NATURAL FATHER A PREVIOUS HOUSEHOLD MEMBER?
WAS NATURAL FATHER A PREVIOUS HOUSEHOLD MEMBER?
WAS NATURAL FATHER A PREVIOUS HOUSEHOLD MEMBER?
WAS NATURAL FATHER A PREVIOUS HOUSEHOLD MEMBER?
WAS NATURAL FATHER A PREVIOUS HOUSEHOLD MEMBER?
6759
4479
1
YES
2
NO
9
DK
Sysmiss
FATHER'S OLD ID CODE FROM BASELINE HH
FATHER'S OLD ID CODE FROM BASELINE HH
FATHER'S OLD ID CODE FROM BASELINE HH
FATHER'S OLD ID CODE FROM BASELINE HH
FATHER'S OLD ID CODE FROM BASELINE HH
1356
9882
1
99
1.558
4.817
Is your natural father still alive?
Is your natural father still alive?
Is your natural father still alive?
Is your natural father still alive?
Is your natural father still alive?
6757
4481
1
YES
2
NO
9
DK
Sysmiss
In what year did your father die?
In what year did your father die?
In what year did your father die?
In what year did your father die?
In what year did your father die?
3787
7451
1
9999
2460.31
1891.073
Where is your natural father living now?
Where is your natural father living now?
Where is your natural father living now?
Where is your natural father living now?
Where is your natural father living now?
2990
8248
1
SAME PLACE AS HOUSEHOLD
2
VILLAGE ELSEWHERE IN KAGERA
3
TOWN ELSEWHERE IN KAGERA
4
DAR ES SALAAM
5
OTHER URBAN AREA IN TANZANIA
6
OTHER RURAL AREA IN TANZANIA
7
OTHER COUNTRY
8
DON'T KNOW
9
99
Sysmiss
Did your father attend school?
Did your father attend school?
Did your father attend school?
Did your father attend school?
Did your father attend school?
6756
4482
1
YES
2
NO
9
DK
Sysmiss
What was the highest grade he completed?
What was the highest grade he completed?
What was the highest grade he completed?
What was the highest grade he completed?
What was the highest grade he completed?
5070
99
9999
9999999
A2
ADULTED
DK
KORANIC
NONE
P1
P2
P3
P4
P5
P5`
P6
P7
P8
QURANIC
S1
S2
S3
S4
S6
U1
U2
U3
U4
p4
Is your natural MOTHER living in this household?
Is your natural MOTHER living in this household?
Is your natural MOTHER living in this household?
Is your natural MOTHER living in this household?
Is your natural MOTHER living in this household?
11218
20
1
YES
2
NO
9
DK
Sysmiss
COPY THE MOTHER'S INDENTIFICATION CODE
COPY THE MOTHER'S INDENTIFICATION CODE
COPY THE MOTHER'S INDENTIFICATION CODE
COPY THE MOTHER'S INDENTIFICATION CODE
COPY THE MOTHER'S INDENTIFICATION CODE
5388
5850
1
99
2.824
7.795
WAS NATURAL MOTHER A PREVIOUS HOUSEHOLD MEMBER?
WAS NATURAL MOTHER A PREVIOUS HOUSEHOLD MEMBER?
WAS NATURAL MOTHER A PREVIOUS HOUSEHOLD MEMBER?
WAS NATURAL MOTHER A PREVIOUS HOUSEHOLD MEMBER?
WAS NATURAL MOTHER A PREVIOUS HOUSEHOLD MEMBER?
5834
5404
1
YES
2
NO
9
DK
Sysmiss
MOTHER'S OLD ID CODE FROM BASELINE HH
MOTHER'S OLD ID CODE FROM BASELINE HH
MOTHER'S OLD ID CODE FROM BASELINE HH
MOTHER'S OLD ID CODE FROM BASELINE HH
MOTHER'S OLD ID CODE FROM BASELINE HH
1391
9847
1
99
3.415
7.77
Is your natural mother still alive?
Is your natural mother still alive?
Is your natural mother still alive?
Is your natural mother still alive?
Is your natural mother still alive?
5836
5402
1
YES
2
NO
9
DK
Sysmiss
In what year did your mother die?
In what year did your mother die?
In what year did your mother die?
In what year did your mother die?
In what year did your mother die?
2643
8595
1908
9999
2479.818
1921.799
Where is your mother living now?
Where is your mother living now?
Where is your mother living now?
Where is your mother living now?
Where is your mother living now?
3202
8036
1
SAME PLACE AS HOUSEHOLD
2
VILLAGE ELSEWHERE IN KAGERA
3
TOWN ELSEWHERE IN KAGERA
4
DAR ES SALAAM
5
OTHER URBAN AREA IN TANZANIA
6
OTHER RURAL AREA IN TANZANIA
7
OTHER COUNTRY
8
DON'T KNOW
9
Sysmiss
Did your mother attend school?
Did your mother attend school?
Did your mother attend school?
Did your mother attend school?
Did your mother attend school?
5832
5406
1
YES
2
NO
9
DK
Sysmiss
What was the highest grade she completed?
What was the highest grade she completed?
What was the highest grade she completed?
What was the highest grade she completed?
What was the highest grade she completed?
3345
2
99
9999999
A2
ADULTED
DK
KORANIC
NONE
P1
P2
P3
P4
P5
P6
P7
P8
S1
S2
S3
S4
S6
U1
IS THIS PERSON LESS THAN 15 YEARS OLD?
IS THIS PERSON LESS THAN 15 YEARS OLD?
IS THIS PERSON LESS THAN 15 YEARS OLD?
IS THIS PERSON LESS THAN 15 YEARS OLD?
IS THIS PERSON LESS THAN 15 YEARS OLD?
5831
5407
1
YES
2
NO
9
DK
Sysmiss
ARE BOTH OF ...'S PARENTS ABSENT?
ARE BOTH OF ...'S PARENTS ABSENT?
ARE BOTH OF ...'S PARENTS ABSENT?
ARE BOTH OF ...'S PARENTS ABSENT?
ARE BOTH OF ...'S PARENTS ABSENT?
967
10271
1
YES
2
NO
9
DK
Sysmiss
How long will you have been living with this household?
How long will you have been living with this household?
How long will you have been living with this household?
How long will you have been living with this household?
How long will you have been living with this household?
721
10517
99
7.9
18.03
months
months
months
months
months
716
10522
99
9.444
24.975
FATHER'S OLD ID CODE FROM BASELINE HH: DIFF HH
FATHER'S OLD ID CODE FROM BASELINE HH: DIFF HH
FATHER'S OLD ID CODE FROM BASELINE HH: DIFF HH
FATHER'S OLD ID CODE FROM BASELINE HH: DIFF HH
FATHER'S OLD ID CODE FROM BASELINE HH: DIFF HH
4
11234
1
2
Sysmiss
MOTHER'S OLD ID CODE FROM BASELINE HH: DIFF HH
MOTHER'S OLD ID CODE FROM BASELINE HH: DIFF HH
MOTHER'S OLD ID CODE FROM BASELINE HH: DIFF HH
MOTHER'S OLD ID CODE FROM BASELINE HH: DIFF HH
MOTHER'S OLD ID CODE FROM BASELINE HH: DIFF HH
3
11235
2
4
Sysmiss
12808
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
12808
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
18
19
20
21
22
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
8614
4194
1
Sysmiss
Is respondent 6 years or older?
Is respondent 6 years or older?
Is respondent 6 years or older?
Is respondent 6 years or older?
Is respondent 6 years or older?
12808
1
YES
2
NO
9
DK
Can ... read a newspaper
Can ... read a newspaper
Can ... read a newspaper
Can ... read a newspaper
Can ... read a newspaper
10109
2699
1
YES
2
NO
9
DK
Sysmiss
Can ... write a letter?
Can ... write a letter?
Can ... write a letter?
Can ... write a letter?
Can ... write a letter?
10109
2699
1
YES
2
NO
9
DK
Sysmiss
Has ... ever attended school or is he/she attending school?
Has ... ever attended school or is he/she attending school?
Has ... ever attended school or is he/she attending school?
Has ... ever attended school or is he/she attending school?
Has ... ever attended school or is he/she attending school?
10109
2699
1
YES
2
NO
9
DK
Sysmiss
At what age did ...[NAME]... start school?
At what age did ...[NAME]... start school?
At what age did ...[NAME]... start school?
At what age did ...[NAME]... start school?
At what age did ...[NAME]... start school?
8300
4508
1
99
10.002
9.84
What was the highest grade he/she completed?
What was the highest grade he/she completed?
What was the highest grade he/she completed?
What was the highest grade he/she completed?
What was the highest grade he/she completed?
8303
9999999
A1
A2
ADULT
ADULTED
DK
KORANIC
NONE
P1
P2
P3
P4
P5
P6
P7
P8
PI
S1
S2
S3
S4
S6
S7
U1
U2
U3
U4
U5
U6
U7
U8
Is ... attending school right now?
Is ... attending school right now?
Is ... attending school right now?
Is ... attending school right now?
Is ... attending school right now?
8303
4505
1
YES
2
NO
9
DK
99
Sysmiss
mon
mon
mon
mon
mon
2906
9902
99
4.838
7.042
tue
tue
tue
tue
tue
2906
9902
99
5.349
6.912
wed
wed
wed
wed
wed
2906
9902
99
5.312
6.923
thu
thu
thu
thu
thu
2906
9902
99
5.325
7.142
fri
fri
fri
fri
fri
2906
9902
99
5.155
7.196
sat
sat
sat
sat
sat
2906
9902
99
0.643
6.702
sun
sun
sun
sun
sun
2906
9902
99
0.421
6.114
Is this that he/she usually spends at school during a week?
Is this that he/she usually spends at school during a week?
Is this that he/she usually spends at school during a week?
Is this that he/she usually spends at school during a week?
Is this that he/she usually spends at school during a week?
2901
9907
1
YES
2
NO
9
DK
Sysmiss
Why did ... not attend school for the normal hours in the pa
Why did ... not attend school for the normal hours in the pa
Why did ... not attend school for the normal hours in the pa
Why did ... not attend school for the normal hours in the pa
Why did ... not attend school for the normal hours in the pa
1047
11761
1
OWN ILLNESS
2
TO CARE FOR ILL FAMILY MEMBER
3
TO WORK AT HOME
4
TO WORK OUTSIDE HOME
5
PUBLIC OR RELIGIOUS HOLIDAY
6
VACATION
7
FUNERAL/MOURNING
8
SCHOOL CLOSED
9
CLASS CANCELED
10
OTHER
99
DK
Sysmiss
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
91
DK
DONT HAVE EXERCISE
E.D.I APPOINTMENT
ESCAPED FROM HOME
EXPELLED
FAMILY PROBLEM
FEES
FINANCIAL PROBLEMS
FINDING ANOTHER SCHOOL
FOLLOWING SALARY
HE DOES NOT WANT
HEAVY RAIN
HOME ACTIVITIES
LACK OF EXERCISE BOOKS
LACK OF SCHOOL FEES
LACK OF SCHOOL UNIFORM
LACK OF SHOES
LACK OF TRANSPORT
NATIONAL TOUCH
NEGLIGENCE
NO REASON
NOT PAID EXAMINATION FEE
NOT YET ATTENDED
REFUSED TO REPEAT
S/S OPENING CEREMONY
SUSPENDED
TEACHER ABSENT
TEACHERS FOLLOWED SALARY
TO BUY SCHOOL PROPERTIES
TO REGISTER FOR CONFIRMATION
TRAVELLED
TRUANT
UHURU TORCH
WAIT FOR TRANSFER FROM R/S
WAITING FOR TRANSFER
Has ... attended school during the past 12 months?
Has ... attended school during the past 12 months?
Has ... attended school during the past 12 months?
Has ... attended school during the past 12 months?
Has ... attended school during the past 12 months?
5572
7236
1
YES
2
NO
9
DK
Sysmiss
Was the current/last school attended by ...
Was the current/last school attended by ...
Was the current/last school attended by ...
Was the current/last school attended by ...
Was the current/last school attended by ...
3059
9749
1
Public?
2
Private secular?
3
Private religious?
9
DK
Sysmiss
How far is ... school from here?
How far is ... school from here?
How far is ... school from here?
How far is ... school from here?
How far is ... school from here?
3038
9770
-4
99999.898
557.97
6772.474
Distance code
Distance code
Distance code
Distance code
Distance code
3032
9776
1
FOOT
2
METER
3
KM
4
MILE
9
DK
Sysmiss
Does he/she live here in this household while attending scho
Does he/she live here in this household while attending scho
Does he/she live here in this household while attending scho
Does he/she live here in this household while attending scho
Does he/she live here in this household while attending scho
3039
9769
1
YES
2
NO
9
DK
99999
Sysmiss
School fees
School fees
School fees
School fees
School fees
3021
9787
9999999
59347.362
682972.318
Uniform and sports clothes
Uniform and sports clothes
Uniform and sports clothes
Uniform and sports clothes
Uniform and sports clothes
3012
9796
999999
20826.86
126134.133
Books and school supplies
Books and school supplies
Books and school supplies
Books and school supplies
Books and school supplies
3011
9797
999999
20698.901
131276.431
Transportation to school
Transportation to school
Transportation to school
Transportation to school
Transportation to school
3020
9788
999999
10133.238
94721.671
Boarding and lodging
Boarding and lodging
Boarding and lodging
Boarding and lodging
Boarding and lodging
3015
9793
999999
13839.757
113292.763
Contributions to school (building materials, or side payment
Contributions to school (building materials, or side payment
Contributions to school (building materials, or side payment
Contributions to school (building materials, or side payment
Contributions to school (building materials, or side payment
2993
9815
999999
23420.065
143390.025
Others? Clubs, extra classes, pocket money, etc.)
Others? Clubs, extra classes, pocket money, etc.)
Others? Clubs, extra classes, pocket money, etc.)
Others? Clubs, extra classes, pocket money, etc.)
Others? Clubs, extra classes, pocket money, etc.)
3001
9807
999999
20485.587
132146.186
TOTAL
TOTAL
TOTAL
TOTAL
TOTAL
3034
9774
9999999
108985.193
889385.098
Did ... have a sponsorship during the past 12 months, includ
Did ... have a sponsorship during the past 12 months, includ
Did ... have a sponsorship during the past 12 months, includ
Did ... have a sponsorship during the past 12 months, includ
Did ... have a sponsorship during the past 12 months, includ
3035
9773
1
YES
2
NO
9
DK
99
Sysmiss
From what institution was this sponsorship obtained
From what institution was this sponsorship obtained
From what institution was this sponsorship obtained
From what institution was this sponsorship obtained
From what institution was this sponsorship obtained
294
12514
1
COOPERATIVE UNION
2
SCHOOL
3
COMMUNITY FUNDS
4
CHURCH/RELIGIOUS GROUP
5
GOVERNMENT
6
OTHER PRIVATE ORGANISATION (SPECIFY)
7
OTHER (SPECIFY)
9
DK
Sysmiss
Private organization other
Private organization other
Private organization other
Private organization other
Private organization other
81
AIDS PROGRAME
ASECDO
HUYAWA
P.E.D.P
PARTAGE
PLAN INTERNATIONAL
WAMATA
WORLD VISION
Why was this sponsorship given?
Why was this sponsorship given?
Why was this sponsorship given?
Why was this sponsorship given?
Why was this sponsorship given?
294
12514
1
FAMILY UNABLE TO PAY FEES
2
MERIT/COMPETITION
3
OTHER (SPECIFY)
9
DK
Sysmiss
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
177
AID
CHURCH FUNDS
FAMILY ASSISTANCE
FAMILY DISABILITY
GOVERNMENT AID
M.E.M
ORPHAN
P.E.D.P
PENFRIEND
PRIORITY FROM VILLAGE LEADERS
SPONSOR
U.P.E
What was the value of the sponsorship for the past 12 months
What was the value of the sponsorship for the past 12 months
What was the value of the sponsorship for the past 12 months
What was the value of the sponsorship for the past 12 months
What was the value of the sponsorship for the past 12 months
293
12515
50
999999
36872.877
155756.661
Has any other person, who is not a member of your household
Has any other person, who is not a member of your household
Has any other person, who is not a member of your household
Has any other person, who is not a member of your household
Has any other person, who is not a member of your household
3039
9769
1
YES
2
NO
9
DK
99
Sysmiss
How is this other person related to ...?
How is this other person related to ...?
How is this other person related to ...?
How is this other person related to ...?
How is this other person related to ...?
382
12426
1
PARENT
2
SIBLING
3
GRANDPARENT
4
AUNT/UNCLE
5
OTHER RELATIVE
6
UNRELATED PERSON
9
DK
Sysmiss
School fees
School fees
School fees
School fees
School fees
374
12434
9999999
138239.278
1036266.069
Uniform and sports clothes
Uniform and sports clothes
Uniform and sports clothes
Uniform and sports clothes
Uniform and sports clothes
372
12436
999999
67305.849
245313.886
Books and school supplies
Books and school supplies
Books and school supplies
Books and school supplies
Books and school supplies
372
12436
999999
64295.53
240653.844
Transportation to school
Transportation to school
Transportation to school
Transportation to school
Transportation to school
373
12435
999999
35375.3
183612.059
Boarding and lodging
Boarding and lodging
Boarding and lodging
Boarding and lodging
Boarding and lodging
370
12438
999999
41442.932
197461.68
Contributions to school (building materials, or side payment
Contributions to school (building materials, or side payment
Contributions to school (building materials, or side payment
Contributions to school (building materials, or side payment
Contributions to school (building materials, or side payment
372
12436
999999
63617.411
240806.226
Others? Clubs, extra classes, pocket money, etc.)
Others? Clubs, extra classes, pocket money, etc.)
Others? Clubs, extra classes, pocket money, etc.)
Others? Clubs, extra classes, pocket money, etc.)
Others? Clubs, extra classes, pocket money, etc.)
372
12436
999999
49950.086
214617.756
TOTAL
TOTAL
TOTAL
TOTAL
TOTAL
380
12428
9999999
223438.997
1346474.515
9822
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
9822
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
18
19
20
21
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
8618
1204
1
Sysmiss
Do you sleep under a mosquito net to protect yourself agains
Do you sleep under a mosquito net to protect yourself agains
Do you sleep under a mosquito net to protect yourself agains
Do you sleep under a mosquito net to protect yourself agains
Do you sleep under a mosquito net to protect yourself agains
9819
3
1
YES
2
NO
9
DK
99
Sysmiss
For how long have you ben using a mosquito net?
For how long have you ben using a mosquito net?
For how long have you ben using a mosquito net?
For how long have you ben using a mosquito net?
For how long have you ben using a mosquito net?
1902
7920
99
4.963
9.514
Have the net you sleep under ever been impregnated?
Have the net you sleep under ever been impregnated?
Have the net you sleep under ever been impregnated?
Have the net you sleep under ever been impregnated?
Have the net you sleep under ever been impregnated?
1916
7906
1
YES
2
NO
9
DK
Sysmiss
During the past 4 weeks have you had any illness or injury?
During the past 4 weeks have you had any illness or injury?
During the past 4 weeks have you had any illness or injury?
During the past 4 weeks have you had any illness or injury?
During the past 4 weeks have you had any illness or injury?
9812
10
1
YES, ILLNESS
2
YES, INJURY
3
NO
9
DK
Sysmiss
Did this illness of injury begin less than six months ago?
Did this illness of injury begin less than six months ago?
Did this illness of injury begin less than six months ago?
Did this illness of injury begin less than six months ago?
Did this illness of injury begin less than six months ago?
4600
5222
1
YES
2
NO
9
DK
Sysmiss
During the past 4 weeks have you had any other illness or in
During the past 4 weeks have you had any other illness or in
During the past 4 weeks have you had any other illness or in
During the past 4 weeks have you had any other illness or in
During the past 4 weeks have you had any other illness or in
411
9411
1
YES
2
NO
9
DK
Sysmiss
Did this illness begin less than six months ago?
Did this illness begin less than six months ago?
Did this illness begin less than six months ago?
Did this illness begin less than six months ago?
Did this illness begin less than six months ago?
68
9754
1
YES
2
NO
9
DK
Sysmiss
For how many days did you suffer from this illness of injury
For how many days did you suffer from this illness of injury
For how many days did you suffer from this illness of injury
For how many days did you suffer from this illness of injury
For how many days did you suffer from this illness of injury
4249
5573
999
12.884
60.427
SYMPTOM #1
SYMPTOM #1
SYMPTOM #1
SYMPTOM #1
SYMPTOM #1
4239
5583
1
DIARRHOEA (ACUTE)
2
DIARRHOEA (CHRONIC, 1 MONTH OR MORE)
3
WEIGHT LOSS (MAJOR)
4
FEVER (ACUTE)
5
FEVER (RECURRING)
6
SKIN RASH
7
WEAKNESS
8
SEVERE HEADACHE
9
FAINTING
10
CHILLS (FEELING HOT AND COLD)
11
VOMITING
12
COUGH
13
PRODUCTIVE COUGH
14
COUGHING BLOOD
15
PAIN ON PASSING URINE
16
GENITAL SORES
17
MENTAL DISORDER
18
ABDOMINAL PAIN
19
SORE THROAT
20
DIFFICULTY BREATHING
21
BURN
22
FRACTURE
23
WOUND
24
CHILDBIRTH
25
OTHER (SPECIFY:_________)
99
DK
Sysmiss
SYMPTOM #1 OTHER
SYMPTOM #1 OTHER
SYMPTOM #1 OTHER
SYMPTOM #1 OTHER
SYMPTOM #1 OTHER
518
ABDOMINAL PAIN
ANAEMIA
ANGER PROBLEM
ARM PAIN
BACK PAIN
BITTEN BY SNAKE
BODY PAIN
BODY PAINS
BOIL
BREAST PAIN
BREEDING
BROKEN LEG
CHEST PAIN
COLD
COLD/ FLU
COUGH
CRYING PROBLEM
DENTAL PROBLEMS
DIZZNESS
EAR PAIN
EYE INFECTION
EYE INJURY
EYE PROBLEMS
EYE SWELLING
FEET PAIN
FEVER
FINGER INJURY
FLU
FLU/COLD
FOOT INJURY
HAD NO APETITE
HAND PAIN
HAND PAINS
HEAD ACHE
HIGH BLOOD PRESURE
HIGH BODY TEMPERATURE
ICHING OF EYES
INJURY
JOINT PAIN
LEG INJURY
LEG PAIN
LEG SORE
LEG SWELLING
LIMBS PAINS
LOSS OF APPETITE
LU
MILK TEETH
MOUTH PAIN
MUSCLE PAINS
MUSCLES PROBLEM
NOSE BLEED
NOSE PROBLEM
OEDEMA OF WHOLE BODY
PAIN
PARALYSE
PARALYSED
PNEUMONIA
RASHES
RECTAL PROLAPSE
RING WORMS
SEVERAL STOMACH PAIN
SEVERE PAINS
SHARP PAIN IN THE CHEST
SHIVERING
SHOULDER
SKIN IRRITATION
SKIN RASH
SNAKE BITE
SPINAL PAINS
SPLEENOMEGALY
SPOTS
STOMACH ACHE
SWELLING
SWELLING FINGER
SWELLING OF BREASTS
SWELLING OF STOMACH
SWOLLEN LEGS/EYES
THROAT PAIN
WOMB TUMOUR
WOUND
YELLOW FEVER
SYMPTOM #2
SYMPTOM #2
SYMPTOM #2
SYMPTOM #2
SYMPTOM #2
2956
6866
1
DIARRHOEA (ACUTE)
2
DIARRHOEA (CHRONIC, 1 MONTH OR MORE)
3
WEIGHT LOSS (MAJOR)
4
FEVER (ACUTE)
5
FEVER (RECURRING)
6
SKIN RASH
7
WEAKNESS
8
SEVERE HEADACHE
9
FAINTING
10
CHILLS (FEELING HOT AND COLD)
11
VOMITING
12
COUGH
13
PRODUCTIVE COUGH
14
COUGHING BLOOD
15
PAIN ON PASSING URINE
16
GENITAL SORES
17
MENTAL DISORDER
18
ABDOMINAL PAIN
19
SORE THROAT
20
DIFFICULTY BREATHING
21
BURN
22
FRACTURE
23
WOUND
24
CHILDBIRTH
25
OTHER (SPECIFY:_________)
99
DK
Sysmiss
SYMPTOM #2 OTHER
SYMPTOM #2 OTHER
SYMPTOM #2 OTHER
SYMPTOM #2 OTHER
SYMPTOM #2 OTHER
515
ABDOMINAL PAIN
ACUTE HEADACHE
ALL BODY PAIN
ANAEMIA
ARM PAIN
BACK PAIN
BODY PAINS
BREAST PAINS
CHEST PAIN
COLD
COLD/ FLU
COLD/ FLUE
COLD/FLU
COLD/FLUE
DEEP SLEEP
DENTAL PROBLEMS
DIARRHOEA
DIFFICULT BREATHING
DIZZINESS
DIZZNESS
EAR PAIN
EAR PROBLEMS
EYE INFECTION
EYE PROBLEMS
EYES TURNED TO RED
FAILURE TO GET STOOL
FEVER
FLU
FLU/COLD
GENERAL ELEPHANTIASIS
HEAD ACHE
HEAD WOUND
HEART BEAT
HIGH BODY TEMPERATURE
HIGH HEART BEATS
HUNGER
IRRITATION IN THE NOSE
JOINT PAIN
LEG PAIN
LEG SORE
LEG SWELLING
LOSS OF APPETITE
NECK PAIN
NOSE BLEED
PAIN
PAIN ON PASSING STOOL
PASSING URINE WITH YELLOW COLO
PATH FROM EAR
PNEUMONIA
POOR EYESIGHT
PREGNANCY
PREGNANCY PROBLEMS
PUSS ON THE WOUND
RIBS & CHEST PAINS
RUNNING NOSE
SHIVERING
SPINAL ACHE
SPINAL PAINS
STOMACH ACHE
SWEATING
SWELLING OF FACE
SWOLLEN CHEEK
THROAT PAIN
THROAT PROBLEM
TONGOTONGO
TONSILS
WASN`T ABLE TO STAND
WATER COMING FROM LEGS
YELLOW URINE
SYMPTOM #3
SYMPTOM #3
SYMPTOM #3
SYMPTOM #3
SYMPTOM #3
1358
8464
1
DIARRHOEA (ACUTE)
2
DIARRHOEA (CHRONIC, 1 MONTH OR MORE)
3
WEIGHT LOSS (MAJOR)
4
FEVER (ACUTE)
5
FEVER (RECURRING)
6
SKIN RASH
7
WEAKNESS
8
SEVERE HEADACHE
9
FAINTING
10
CHILLS (FEELING HOT AND COLD)
11
VOMITING
12
COUGH
13
PRODUCTIVE COUGH
14
COUGHING BLOOD
15
PAIN ON PASSING URINE
16
GENITAL SORES
17
MENTAL DISORDER
18
ABDOMINAL PAIN
19
SORE THROAT
20
DIFFICULTY BREATHING
21
BURN
22
FRACTURE
23
WOUND
24
CHILDBIRTH
25
OTHER (SPECIFY:_________)
99
DK
Sysmiss
SYMPTOM #3 OTHER
SYMPTOM #3 OTHER
SYMPTOM #3 OTHER
SYMPTOM #3 OTHER
SYMPTOM #3 OTHER
291
ABSESS
BACK PAIN
BLEEDING
BODY PAIN
BODY PAINS
BODY SWELLING
BREAST PAIN
CHEST PAIN
COLD/ FLU
COLD/FLU
DENTAL PROBLEMS
DIZINESS
DIZZINESS
DK
EAR PROBLEMS
EYE PROBLEMS
EYES BECAME TOO WHITE
FLU
FLU/COLD
HEAD ACHE
HIGH BODY TEMPERATURE
JOINT PAIN
LEG PAIN
LEG PAIN/INABILITY TO WALK
LEGS
LOSS OF APPETITE
MOUTH WOUND
MUSCLE PAINS
NAUSEA
NORMAL HEAD
NOSE BLEED
NUMBNESS OF HER RIGHT HAND
PAIN
RUNNING NOSE
SEVERE PAINS
SHIVERING
SPINAL PAINS
STOMACH ACHE
SWELLING OF ARMS
SWELLING OF BODY
SYMPTOM #4
SYMPTOM #4
SYMPTOM #4
SYMPTOM #4
SYMPTOM #4
342
9480
1
DIARRHOEA (ACUTE)
2
DIARRHOEA (CHRONIC, 1 MONTH OR MORE)
3
WEIGHT LOSS (MAJOR)
4
FEVER (ACUTE)
5
FEVER (RECURRING)
6
SKIN RASH
7
WEAKNESS
8
SEVERE HEADACHE
9
FAINTING
10
CHILLS (FEELING HOT AND COLD)
11
VOMITING
12
COUGH
13
PRODUCTIVE COUGH
14
COUGHING BLOOD
15
PAIN ON PASSING URINE
16
GENITAL SORES
17
MENTAL DISORDER
18
ABDOMINAL PAIN
19
SORE THROAT
20
DIFFICULTY BREATHING
21
BURN
22
FRACTURE
23
WOUND
24
CHILDBIRTH
25
OTHER (SPECIFY:_________)
99
DK
Sysmiss
SYMPTOM #4 OTHER
SYMPTOM #4 OTHER
SYMPTOM #4 OTHER
SYMPTOM #4 OTHER
SYMPTOM #4 OTHER
83
ARM PAIN
BACK PAIN
BODY PAIN
BREAST PAIN
CHEST PAIN
CONVULSION
DIZINESS
FLU
FLU/COLD
HEAD ACHE
HEART PROBLEMS
LEG PAIN
LOSS OF APPETITE
NOSE BLEED
PREGNANCE
SCABIES
SEVERE PAINS
SHARP PAIN IN THE CHEST
SPEED HEARTBITS
STOMACH ACHE
TONGUE PROBLEMS
WARMY
WORMS
SYMPTOM #5
SYMPTOM #5
SYMPTOM #5
SYMPTOM #5
SYMPTOM #5
89
9733
1
DIARRHOEA (ACUTE)
2
DIARRHOEA (CHRONIC, 1 MONTH OR MORE)
3
WEIGHT LOSS (MAJOR)
4
FEVER (ACUTE)
5
FEVER (RECURRING)
6
SKIN RASH
7
WEAKNESS
8
SEVERE HEADACHE
9
FAINTING
10
CHILLS (FEELING HOT AND COLD)
11
VOMITING
12
COUGH
13
PRODUCTIVE COUGH
14
COUGHING BLOOD
15
PAIN ON PASSING URINE
16
GENITAL SORES
17
MENTAL DISORDER
18
ABDOMINAL PAIN
19
SORE THROAT
20
DIFFICULTY BREATHING
21
BURN
22
FRACTURE
23
WOUND
24
CHILDBIRTH
25
OTHER (SPECIFY:_________)
99
DK
Sysmiss
SYMPTOM #5 OTHER
SYMPTOM #5 OTHER
SYMPTOM #5 OTHER
SYMPTOM #5 OTHER
SYMPTOM #5 OTHER
12
.
ABDOMINAL PAIN
BACK PAIN
CHEST PAIN
EYE PROBLEMS
FLU
HEAD ACHE
PNEUMONIA
STOMACH ACHE
For how many days were you unable to carry on your usual act
For how many days were you unable to carry on your usual act
For how many days were you unable to carry on your usual act
For how many days were you unable to carry on your usual act
For how many days were you unable to carry on your usual act
4244
5578
999
8.807
65.249
Has anyone been consulted for treating this illness or injur
Has anyone been consulted for treating this illness or injur
Has anyone been consulted for treating this illness or injur
Has anyone been consulted for treating this illness or injur
Has anyone been consulted for treating this illness or injur
4233
5589
1
YES
2
NO
9
DK
99
Sysmiss
Where was the first place that you sought for care?
Where was the first place that you sought for care?
Where was the first place that you sought for care?
Where was the first place that you sought for care?
Where was the first place that you sought for care?
1780
8042
1
HOSPITAL
2
HEALTH CARE
3
DISPENSARY
4
CLINIC
5
PHARMACY
6
HEALTH PRACTITIONER IN HIS/HER HOME
7
PATIENT'S HOME
8
TRADITIONAL HEALER
9
OTHER (SPECIFY:_______)
99
DK
Sysmiss
Specify the place
Specify the place
Specify the place
Specify the place
Specify the place
9
PARTAGE
PHARMACY
PRIVATE LABORATORY
SHOP
Is this a public or a private establishment?
Is this a public or a private establishment?
Is this a public or a private establishment?
Is this a public or a private establishment?
Is this a public or a private establishment?
1735
8087
1
PUBLIC
2
MISSION
3
PRIVATE
4
DESIGNATED
6
9
DK
99
Sysmiss
What illness did the health practitioner think that you had/
What illness did the health practitioner think that you had/
What illness did the health practitioner think that you had/
What illness did the health practitioner think that you had/
What illness did the health practitioner think that you had/
1784
8038
1
AIDS/HIV
2
HERPES ZOSTER
3
URINARY INFECTION
4
GONORRHEA
5
SYPHILIS
6
MALARIA
7
TYPHOID
8
MEASLES
9
MENINGITIS
10
POLIO
11
TUBERCULOSIS
12
TETANUS
13
ASTHMA
14
PNEUMONIA
15
BILHARZIA/SHISTOSOMIASIS
16
INTESTINAL WORMS
17
DIARRHOEA
18
DYSENTERY
19
MALNUTRITION KWASHIORKOR
20
MARASMUS
21
FRACTURE
22
CANCER
23
POISONING
24
DIABETES
25
PRESSURE
26
FLU/COLD
27
OTHER STD (SPECIFY)
28
OTHER ILLNESS (SPECIFY)
29
OTHER INJURY (SPECIFY)
30
WITCHCRAFT
31
DON'T KNOW
99
Sysmiss
What illness do you think you were suffering from?
What illness do you think you were suffering from?
What illness do you think you were suffering from?
What illness do you think you were suffering from?
What illness do you think you were suffering from?
4240
5582
1
AIDS/HIV
2
HERPES ZOSTER
3
URINARY INFECTION
4
GONORRHEA
5
SYPHILIS
6
MALARIA
7
TYPHOID
8
MEASLES
9
MENINGITIS
10
POLIO
11
TUBERCULOSIS
12
TETANUS
13
ASTHMA
14
PNEUMONIA
15
BILHARZIA/SHISTOSOMIASIS
16
INTESTINAL WORMS
17
DIARRHOEA
18
DYSENTERY
19
MALNUTRITION KWASHIORKOR
20
MARASMUS
21
FRACTURE
22
CANCER
23
POISONING
24
DIABETES
25
PRESSURE
26
FLU/COLD
27
OTHER STD (SPECIFY)
28
OTHER ILLNESS (SPECIFY)
29
OTHER INJURY (SPECIFY)
30
WITCHCRAFT
31
DON'T KNOW
99
Sysmiss
Did you have any other illness of injury in the past 4 weeks
Did you have any other illness of injury in the past 4 weeks
Did you have any other illness of injury in the past 4 weeks
Did you have any other illness of injury in the past 4 weeks
Did you have any other illness of injury in the past 4 weeks
4234
5588
1
YES
2
NO
9
DK
Sysmiss
How many other illnesses or injuries did you have in the pas
How many other illnesses or injuries did you have in the pas
How many other illnesses or injuries did you have in the pas
How many other illnesses or injuries did you have in the pas
How many other illnesses or injuries did you have in the pas
409
9413
1
99
2.347
9.895
Have you been living with any health problem for more than 6
Have you been living with any health problem for more than 6
Have you been living with any health problem for more than 6
Have you been living with any health problem for more than 6
Have you been living with any health problem for more than 6
9810
12
1
YES
2
NO
9
DK
Sysmiss
How long ago did this health problem start?
How long ago did this health problem start?
How long ago did this health problem start?
How long ago did this health problem start?
How long ago did this health problem start?
1610
8212
999
9.156
28.25
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
1605
8217
1
3
DAY
4
WEEK
5
MONTH
6
YEAR
8
9
DK
99
Sysmiss
Has this condition ever been diagnosed by a health professio
Has this condition ever been diagnosed by a health professio
Has this condition ever been diagnosed by a health professio
Has this condition ever been diagnosed by a health professio
Has this condition ever been diagnosed by a health professio
1611
8211
1
YES
2
NO
9
DK
Sysmiss
What condition did the health practitioner think that you ha
What condition did the health practitioner think that you ha
What condition did the health practitioner think that you ha
What condition did the health practitioner think that you ha
What condition did the health practitioner think that you ha
1078
8744
1
AIDS/HIV
2
HERPES ZOSTER
3
URINARY INFECTION
4
GONORRHEA
5
SYPHILIS
6
MALARIA
7
TYPHOID
8
MEASLES
9
MENINGITIS
10
POLIO
11
TUBERCULOSIS
12
TETANUS
13
ASTHMA
14
PNEUMONIA
15
BILHARZIA/SHISTOSOMIASIS
16
INTESTINAL WORMS
17
DIARRHOEA
18
DYSENTERY
19
MALNUTRITION KWASHIORKOR
20
MARASMUS
21
FRACTURE
22
CANCER
23
POISONING
24
DIABETES
25
PRESSURE
26
FLU/COLD
27
OTHER STD (SPECIFY)
28
OTHER ILLNESS (SPECIFY)
29
OTHER INJURY (SPECIFY)
30
WITCHCRAFT
31
DON'T KNOW
99
Sysmiss
SYMPTOM #1
SYMPTOM #1
SYMPTOM #1
SYMPTOM #1
SYMPTOM #1
1066
8756
1
DIARRHOEA (ACUTE)
2
DIARRHOEA (CHRONIC, 1 MONTH OR MORE)
3
WEIGHT LOSS (MAJOR)
4
FEVER (ACUTE)
5
FEVER (RECURRING)
6
SKIN RASH
7
WEAKNESS
8
SEVERE HEADACHE
9
FAINTING
10
CHILLS (FEELING HOT AND COLD)
11
VOMITING
12
COUGH
13
PRODUCTIVE COUGH
14
COUGHING BLOOD
15
PAIN ON PASSING URINE
16
GENITAL SORES
17
MENTAL DISORDER
18
ABDOMINAL PAIN
19
SORE THROAT
20
DIFFICULTY BREATHING
21
BURN
22
FRACTURE
23
WOUND
24
CHILDBIRTH
25
OTHER (SPECIFY:_________)
99
DK
Sysmiss
SYMPTOM #1 OTHER
SYMPTOM #1 OTHER
SYMPTOM #1 OTHER
SYMPTOM #1 OTHER
SYMPTOM #1 OTHER
426
ABDOMINAL PAIN
ACUTE PALALYSIS
ALLEGIC CONJUCTIVITIS
ALLEGY
ANAESTHESIA
ANUS PROBLEM
ARM FAITING
ARM PAIN
BACK PAIN
BLIND
BODY PAIN
BONE PAIN
BREAST CANCER
BREAST PAIN
CANT BEND
CHANGE OF SKIN COLOUR
CHEST PAIN
CHRONIC COUGH
COMPLICATED DELIVERY
CONTRACTION
CONVULSION
CORRESSION ON LEGS
COUGHING BLOOD
DANDRUFF
DENTAL PROBLEMS
DIARRHOEA
EAR BLEEDING
EAR PAIN
EPILEPSY
EPISTAXIS
EYE PROBLEMS
FEELING MUCH HUNGER
FEET PAIN
FLU
FOOT WOUND
FUNGUS
GOAUTS
GOUT
HEAD ACHE
HEART PROBLEMS
HICK UP
JAW PAINS
JOINT PAIN
KNEE PAIN
KNEE SWELING
KUNG'OKA
LACK OF ENOUGH BLOOD
LEG PAIN
LEG PUS
LEG SWELLING
LOSS OF FINGERS
LUNG PROBLEM
MENSTRUAL PROBLEMS
MENTAL DISORDER
MUMPS
MUSCLE PAINS
NAIL PAINS
NAUSEA
NECK PAIN
NOSE BLEED
NOSE PROBLEM
OEDEMA OF LEGS
ONE SIDE PARARISING
OTITIS MEDIA
PAIN
PAIN DURING MENSTRUATION
PAIN IN THE BUTTOCKS
PAIN ON PASSING STOOL
PAINS AT OPERATED AREA
PARALYSING HALF PART OF THE BO
PIMPLES
PNEUMONIA
POOR EYESIGHT
POOR HEARING
PRESSURE
PROBLEMS IN BREATHING
PROTRUTION OF PLACENTA
PUSS FROM EARS
PUSS IN FEET
RASHES ON LEG
RUNNING NOSE
SEVERE HEADACHE
SEVERE HEART BEATS
SEVERE PAINS
SEVERE PAINS LEFT RIBS
SEVERE STOMACH ACHE
SHARP PAIN IN PANCREASE
SHIVERING
SKIN DISEASE
SKIN INFECTION
SKIN RASH
SLOW STOMACH
SPINAL ACHE
SPINAL PAINS
STOMACH ACHE
STRANDED
STROCK
SWEATING
SWELLING KNEE
SWELLING OF ARMS
SWELLING OF BREASTS
SWELLING OF JOINTS
SWELLING OF THIGH
TOO COLD IN THE ARM
TUMOR
ULCERS
UPPER ABDOMINAL PAINS
WAIST PAINS
WEAKNESS
WOUND
YELLOW EYES
SYMPTOM #2
SYMPTOM #2
SYMPTOM #2
SYMPTOM #2
SYMPTOM #2
313
9509
1
DIARRHOEA (ACUTE)
2
DIARRHOEA (CHRONIC, 1 MONTH OR MORE)
3
WEIGHT LOSS (MAJOR)
4
FEVER (ACUTE)
5
FEVER (RECURRING)
6
SKIN RASH
7
WEAKNESS
8
SEVERE HEADACHE
9
FAINTING
10
CHILLS (FEELING HOT AND COLD)
11
VOMITING
12
COUGH
13
PRODUCTIVE COUGH
14
COUGHING BLOOD
15
PAIN ON PASSING URINE
16
GENITAL SORES
17
MENTAL DISORDER
18
ABDOMINAL PAIN
19
SORE THROAT
20
DIFFICULTY BREATHING
21
BURN
22
FRACTURE
23
WOUND
24
CHILDBIRTH
25
OTHER (SPECIFY:_________)
99
DK
Sysmiss
SYMPTOM #2 OTHER
SYMPTOM #2 OTHER
SYMPTOM #2 OTHER
SYMPTOM #2 OTHER
SYMPTOM #2 OTHER
110
ABDOMINAL PAIN
ABNORMAL BLEEDING
BACK PAIN
BLOOD IN STOOL
BODY PAINS
BODY SWELLING
BREATHING
CANT CARRY HEAVY THINGS
CANT JUMP
CHEST PAIN
COLLAPSE
CONVULSIONS
COUGH
DENTAL PROBLEMS
DIZZINESS
EAR PROBLEMS
EPILEPSY
EYE MUSCLE PAINS
FEELING TOO WARM
FOOT WOUND
FUNGUS
GRINDING TEETH
HE FAILS EVEN TO SPEAK
HEAD ACHE
HEART PROBLEMS
HEEL BURST
HOT LEGS
INCREASE IN HEART BEATS
JOINT PAIN
LEG PAIN
LEG SWELLING
LOSS OF APPETITE
LOW BP
MEMORY LOSS
MENTAL DISORDER
NECK PAIN
NOSE BLEED
OEDEMA
PAIN
PARALYSED
POOR EYESIGHT
PROBLEM TONGUE
PTERISLONGIFOLIA
RED EYES
SCABIES
SEVERE MENSTRUAL STOMACH PAIN
SEVERE PAIN LEFT ARM
SEVERE STOMACH ACHE
SHOCK
SKIN DISEASE
SOFT EYES
SORES IN LEGS
STOMACH ACHE
SWEATING
THIRSTY
WATER ARISE IN KNEES
WATER COMING FROM LEGS
WOUND
YELLOW EYES
YELLOW URINE
SYMPTOM #3
SYMPTOM #3
SYMPTOM #3
SYMPTOM #3
SYMPTOM #3
108
9714
1
DIARRHOEA (ACUTE)
2
DIARRHOEA (CHRONIC, 1 MONTH OR MORE)
3
WEIGHT LOSS (MAJOR)
4
FEVER (ACUTE)
5
FEVER (RECURRING)
6
SKIN RASH
7
WEAKNESS
8
SEVERE HEADACHE
9
FAINTING
10
CHILLS (FEELING HOT AND COLD)
11
VOMITING
12
COUGH
13
PRODUCTIVE COUGH
14
COUGHING BLOOD
15
PAIN ON PASSING URINE
16
GENITAL SORES
17
MENTAL DISORDER
18
ABDOMINAL PAIN
19
SORE THROAT
20
DIFFICULTY BREATHING
21
BURN
22
FRACTURE
23
WOUND
24
CHILDBIRTH
25
OTHER (SPECIFY:_________)
28
99
DK
Sysmiss
SYMPTOM #3 OTHER
SYMPTOM #3 OTHER
SYMPTOM #3 OTHER
SYMPTOM #3 OTHER
SYMPTOM #3 OTHER
33
ANUS INFECTION
BACK PAIN
BONE PAIN
CHEST PAIN
DIABETES
DIFFICULT BREATHING
EYE PROBLEMS
FACE SWELLS
FAST HEART BEAT
FEELS AS A DRUNKER
FEELS HEAVY
FEETBONE PAIN
FLU
HEAD ACHE
HEART PROBLEMS
HUNGER
LEG PAIN
LOSS OF APPETITE
MUSCLE PAINS
NIGHTMARE
PAIN IN ALL PARTS OF THE BODY
SCABIES
SKIN DISEASE
STRONG HERAT BEATS
SWEATING
SWELLING OF BODY
TOO WEAK
TUMBO KUJAA GAS
SYMPTOM #4
SYMPTOM #4
SYMPTOM #4
SYMPTOM #4
SYMPTOM #4
41
9781
1
DIARRHOEA (ACUTE)
2
DIARRHOEA (CHRONIC, 1 MONTH OR MORE)
3
WEIGHT LOSS (MAJOR)
4
FEVER (ACUTE)
5
FEVER (RECURRING)
6
SKIN RASH
7
WEAKNESS
8
SEVERE HEADACHE
9
FAINTING
10
CHILLS (FEELING HOT AND COLD)
11
VOMITING
12
COUGH
13
PRODUCTIVE COUGH
14
COUGHING BLOOD
15
PAIN ON PASSING URINE
16
GENITAL SORES
17
MENTAL DISORDER
18
ABDOMINAL PAIN
19
SORE THROAT
20
DIFFICULTY BREATHING
21
BURN
22
FRACTURE
23
WOUND
24
CHILDBIRTH
25
OTHER (SPECIFY:_________)
28
99
DK
Sysmiss
SYMPTOM #4 OTHER
SYMPTOM #4 OTHER
SYMPTOM #4 OTHER
SYMPTOM #4 OTHER
SYMPTOM #4 OTHER
13
BACK PAIN
BODY SWELLING
DIZZINESS
HAIR UNHEALTHY
LEG PAIN
LEG SWELLING
PAIN IN BUTTOCKS
SEVERE PAINS
SHIVERING
SPINAL ACHE
unhealthy hair
SYMPTOM #5
SYMPTOM #5
SYMPTOM #5
SYMPTOM #5
SYMPTOM #5
18
9804
1
DIARRHOEA (ACUTE)
2
DIARRHOEA (CHRONIC, 1 MONTH OR MORE)
3
WEIGHT LOSS (MAJOR)
4
FEVER (ACUTE)
5
FEVER (RECURRING)
6
SKIN RASH
7
WEAKNESS
8
SEVERE HEADACHE
9
FAINTING
10
CHILLS (FEELING HOT AND COLD)
11
VOMITING
12
COUGH
13
PRODUCTIVE COUGH
14
COUGHING BLOOD
15
PAIN ON PASSING URINE
16
GENITAL SORES
17
MENTAL DISORDER
18
ABDOMINAL PAIN
19
SORE THROAT
20
DIFFICULTY BREATHING
21
BURN
22
FRACTURE
23
WOUND
24
CHILDBIRTH
25
OTHER (SPECIFY:_________)
99
DK
Sysmiss
SYMPTOM #5 OTHER
SYMPTOM #5 OTHER
SYMPTOM #5 OTHER
SYMPTOM #5 OTHER
SYMPTOM #5 OTHER
2
FEELING COLD
PAIN IN ALL PARTS OF THE BODY
Have you suffered from diarrhoea for a month or more?
Have you suffered from diarrhoea for a month or more?
Have you suffered from diarrhoea for a month or more?
Have you suffered from diarrhoea for a month or more?
Have you suffered from diarrhoea for a month or more?
9801
21
1
YES
2
NO
9
DK
Sysmiss
Have you lost much weight in recent months
Have you lost much weight in recent months
Have you lost much weight in recent months
Have you lost much weight in recent months
Have you lost much weight in recent months
9798
24
1
YES
2
NO
9
DK
Sysmiss
Have you had a recurring fever for a month or more?
Have you had a recurring fever for a month or more?
Have you had a recurring fever for a month or more?
Have you had a recurring fever for a month or more?
Have you had a recurring fever for a month or more?
9798
24
1
YES
2
NO
9
DK
Sysmiss
Have you suffered from any skin rash in the past year?
Have you suffered from any skin rash in the past year?
Have you suffered from any skin rash in the past year?
Have you suffered from any skin rash in the past year?
Have you suffered from any skin rash in the past year?
9798
24
1
YES
2
NO
9
DK
Sysmiss
In general would you say your health is ...
In general would you say your health is ...
In general would you say your health is ...
In general would you say your health is ...
In general would you say your health is ...
9811
11
1
Excellent
2
Very Good
3
Good
4
Fair
5
Bad
9
DK
99
Sysmiss
Do you have any disabilities?
Do you have any disabilities?
Do you have any disabilities?
Do you have any disabilities?
Do you have any disabilities?
9802
20
1
POOR EYESIGHT
2
POOR HEARING
3
MISSING ARM/LEG/HAND/FOOT
4
PARALYSED
5
CRIPPLED
6
OTHER PROBLEM
7
NONE
9
DK
99
Sysmiss
IS THE RESPONDENT 15 YEARS OR OLDER
IS THE RESPONDENT 15 YEARS OR OLDER
IS THE RESPONDENT 15 YEARS OR OLDER
IS THE RESPONDENT 15 YEARS OR OLDER
IS THE RESPONDENT 15 YEARS OR OLDER
9786
36
1
YES
2
NO
9
DK
99
Sysmiss
Vigorous activities like running, lifting heavy objects, par
Vigorous activities like running, lifting heavy objects, par
Vigorous activities like running, lifting heavy objects, par
Vigorous activities like running, lifting heavy objects, par
Vigorous activities like running, lifting heavy objects, par
5874
3948
1
YES, I CAN
2
YES, TO SOME EXTEND
3
NO, I CAN'T
9
DK
Sysmiss
Walking uphill?
Walking uphill?
Walking uphill?
Walking uphill?
Walking uphill?
5872
3950
1
YES, I CAN
2
YES, TO SOME EXTEND
3
NO, I CAN'T
9
DK
Sysmiss
Bending over or stooping?
Bending over or stooping?
Bending over or stooping?
Bending over or stooping?
Bending over or stooping?
5872
3950
1
YES, I CAN
2
YES, TO SOME EXTEND
3
NO, I CAN'T
9
DK
Sysmiss
Walking more than a kilometer?
Walking more than a kilometer?
Walking more than a kilometer?
Walking more than a kilometer?
Walking more than a kilometer?
5872
3950
1
YES, I CAN
2
YES, TO SOME EXTEND
3
NO, I CAN'T
9
DK
Sysmiss
Walking over 100 meters?
Walking over 100 meters?
Walking over 100 meters?
Walking over 100 meters?
Walking over 100 meters?
5872
3950
1
YES, I CAN
2
YES, TO SOME EXTEND
3
NO, I CAN'T
9
DK
Sysmiss
Eating, bathing or using the toilet?
Eating, bathing or using the toilet?
Eating, bathing or using the toilet?
Eating, bathing or using the toilet?
Eating, bathing or using the toilet?
5872
3950
1
YES, I CAN
2
YES, TO SOME EXTEND
3
NO, I CAN'T
9
DK
Sysmiss
Specify other STD, illness or injury
Specify other STD, illness or injury
Specify other STD, illness or injury
Specify other STD, illness or injury
Specify other STD, illness or injury
210
ABDOMINAL PAIN
ABORTION
ABSCESS
AMOEBA
ANAEMIA
APPENDEX
ARM PAIN
BACK PAIN
BLOOD PRESSURE
BOIL
BROKEN BACKBONE
CARDIOMEGALY
CHEST PAIN
CHEST WOUND
CHICKEN POX
CHILD BIRTH
COUGH
COUGHING
DEHYDRATION
DENTAL
DENTAL PROBLEMS
DISEASE CAUSED BY HOOKWORMS
DYSFUNCTION UTERINE BLEEDING
EAR PROBLEMS
EKIBO
EYE INFECTION
EYE INJURY
EYE PROBLEMS
FEVER
FEVER CAUSED BY TICK
FLU
FOOT FINGER WOUND
FUNGUS
HAND PAIN
HEAD ACHE
HEAD INJURY
INJURY
INTESTINAL PAIN
INTESTINAL WORMS
JOINT PAIN
LEG ABSCESS
LEG INJURY
LOSS OF BLOOD
LOW BLOOD
LOW BLOOD SUGAR
LUNG PROBLEM
MENTAL DISORDER
MENTALLY ILL
MUSCLE PROBLEM
NEPHRITIS
NOSE BLEED
PARALYSE
PARALYSIS
PNEUMONIA
PREGNANCY
PREGNANCY PROBLEMS
SCABIES
SEVERE PAINS
SICKLE CELL
SIDE EFFECT OF FANSIDER
SKIN RASH
SNAKE BITE
SPINAL PAINS
SPLEEN ENLARGEMENT
STOMACH ACHE
STONED
SUFFERING FROM KIDNEY
SWELLING
SWELLING EYES
SWELLING OF HAND
TONSILS
ULCERS
WORMS
WOUND
YELLOW FEVER
Specify other STD, illness or injury
Specify other STD, illness or injury
Specify other STD, illness or injury
Specify other STD, illness or injury
Specify other STD, illness or injury
600
ABDODMINAL PAINS
ABDOMINAL
ABDOMINAL PAIN
ABORTION
ABSCESS
ABSESS
ADULT AGED
AMEOBA
AMOEBA
ANAEMIA
APPENDEX
ARM PAIN
ATHRITIS
BACK
BACK PAIN
BIRDBIRD
BIRTH
BLOOD PRESSURE
BREAST PAIN
BREAST PROBLEMS
BROKEN BACKBONE
BROKEN LEG
BURN
BURNS
CHEST PAIN
CHICKEN POX
CHILD BIRTH
CHRONIC MALARIA
COGH
CONSPIRATION OF FOOD
CONVULSION
COUGH
COUGHING
DEEP THINKING
DENTAL
DENTAL PROBLEMS
DIARRHOEA
DIRTY WATER
DISEASES CAUSED BY HOOKWORMS
DISLOCATION
DYSFUNCTION UTERINE BLEEDING
EAR PROBLEMS
EKIBO
ELEPHANTIASIS
EYE
EYE DIFFICULT
EYE INFECTION
EYE INJURY
EYE PROBLEMS
FEET WOUND
FEVER
FEVER CAUSED BY TICK
FINGER INJURY
FLU
FLU & COLD
FLU/COLD
FOOT FINGER INJURY
FOOT FINGER WOUND
FRACTURE
FUNGUS
HAND PAIN
HARD WORK PERFORMED
HEAD ACHE
HEAD INJURY
HEAD WOUND
HEAVY WORK
HEPATITIS
INJURY
INTESTINAL WORMS
JOINT PAIN
KAFURA
KICHOMI
LACK OF BLOOD
LACK OF ENOUGH BLOOD
LEG ABSCESS
LEG INJURY
LEG PAIN
LOSS OF BLOOD
LOW BLOOD SUGAR
MEASLES
MEMPS
MENTAL DISORDER
MENTALLY ILL
MKULAIJU
MUSCLE PAIN
MUSCLE PROBLEM
NAIL PIERCE
NDWALA NKULU
NECK PAIN
NOSE BLEED
OLD INJURY
PARALYSE
PARALYSED
PARALYSIS
PATH FROM EARS
PEPTIK ULCERS
PREGNANCE
PREGNANCY
PREGNANCY PROBLEMS
PREVIOUS FRACTURE
PUS
RASHES
RECTAL PROLAPSE
RING WORMS
SCABIES
SEVERE PAINS
SHARPPAIN
SHOULDER
SICKLE CELL
SKIN DISEASE
SKIN RASH
SKIN RUSH
SNAKE BITE
SORE THROAT
SP
SPINAL PAINS
SPLEENOMEGALY
STAMBLED ON STONE
STOMACH ACHE
STONED
SUDE EFFECT OF FANSIDER
SWEELING KNEE
SWELING BREASTS
SWELLING
SWELLING OF FINGERS
SWELLING OF HAND
SWOLLEN OF LEGS
TEETH DESEASES
TEETH DISEASE
THORN ON LEG
TIREDNESS
TONSILLITIS
TONSLITES
TOO OLD
TRACHOMA
TRACKOMA
ULCERS
WOMB TUMOUR
WORMS
WOUND
WOUND OR SKIN RASH
YELLOW
YELLOW FEVER
490
A HOLE INTHE HEART VALVE
ABCESS IN STOMACH
ABDOMINAL PAIN
ADHESIONS
AERNIA
ALLERGE
AMOEBA
ANNEMIA
ARM PAIN
ARTHRITIS
ASCERS
B.P
BACK BONE DISORDER
BACK PAIN
BACK PAINS/ABDOMINAL PAINS
BACK PROBLEMS
BACKBORNE PAIN
BIRTH PROBLEMS
BITE BY SNAKE
BLOOD COMES FROM NOSE
BLOOD PRESSURE
BLOOD PRESSURE/DIABETES
BONE PAINS
BONE SLOCATION
BP
BRONCHITIS
CATARACT
CELEBRAL MALARIA
CHEST BROKEN
CHEST PAIN
CHEST WOUND
CHICKEN POX
CHILD BIRTH COMPLICATIONS
CHRONIC MALARIA
CHST PAINS
COMMON DISEASES
CONTINOUS URINATION
CONVULSION
COUT
CROSTOM
DEGEDEGE
DENTAL
DENTAL GUM INFECTION
DENTAL PROBLEMS
DERMATITIS
DK
DYSFUNCTION UTERINE BLEEDING
EAR INFECTION
EAR PAIN
EAR PAINS
EAR PROBLEMS
EAR PUS
EARS PAINS
ELEPHANTIASIS
ENIA
ENIALAPH
ENLARGED HEART
EPILEPSY
EPISTAXIS
EPTIC ULCERS
EYE
EYE PROBLEMS
EYE PROBLEMS,PAINS(SIGHTING)
EYE SIGHT
EYE/EAR INFECTION
EYES PAIN
FAILURE TO ATTEND MP
FAINTING
FUNGUS
GOITRE
GOUT
GOUTES
GYNAECOLOGICAL PROBLEM
HAND ACHES
HAND PAIN
HEAD ACHE
HEARING PROBLEM
HEART ATACK
HEART ATTACK
HEART DESEASES
HEART PROBLEM
HEART PROBLEMS
HENIA
HEPATITIS
HERNIA
HIGH BLOOD PRESSURE
HOOKWORMS
INJECTION PROBLEMS
INJURY DURING CHILD BIRTH
INJURY OF TOOTH
INSOSIONAL HERNIA
INTESTINAL WORMS
JAUNDICE
JOINT PAIN
KNEE
LEG INJURY
LEG PAIN
LEG SWELLING
LEGS PAINS
LIVER
LIVER DISEASE
LIVER PROBLEM
LOOSE OF BLOOD
LOW BLOOD SUGAR
LOW SUGAR
LUNGS PROBLEM
MENTAL DISEASE
MENTAL DISORDER
MENTAL DISTURBED
MENTAL ILLINESS
MENTAL PROBLEMS
MENTALLY ILL
MUSCLE PAINS
MUSCLE PULL
NOSE BLEED
NOSE HAEMOPHILIA
OLD AGE DISCOMFORT
OTITIS MEDIA
OTITISMEDIA
PAIN IN EARDRUM
PAIN ON PASSING URINE
PAIN ON THE LEFT LEG
PARALIZED
PARALYSE
PARALYSED LEGS
PECTIC ACID
PEPTIC ULCERS
PEPTIC ULCER
PEPTIC ULCERS
PEPTIC ULSERS
PNEUMONIA
POLIATHRYTES
POOR EYES
POOR EYESIGHT
POOR HEARING
PROBABLY EYE DISEASE
R.H.D
RHUEMATISM
SECONDARY INFERTILITY
SEVERE BACK PAIN
SEVERE HEAD ACHE
SEVERE HEADACHE
SHAKING BODY
SHARPPAIN
SICKLE CELL
SICKLE CELL ANEMIA
SICKLE CELL DISEASE
SIGHT PROBLEM
SKIN DEMATITES
SKIN DISEASE
SKIN DISEASES
SKIN FUNGUS
SKIN ILLINESS
SPAINAL PAINS
SPINAL ACHE
SPINAL PAINS
SPLEEN
SPLEENOMEGALY
STOMACH ACHE
STOMACH ELEPHANTIASIS
STOMACH OPERATION
STOMACH ULCERS
SUFFERING FROM LIVER
SWELLING OF HANDS BLOOD VESSEL
SWELLING OF TONGUE
SWOLLEN IN THE INTESTINE
SWOLLEN OF SCROTUM
SYPHILLIS
T.B
TB SPINE
TEETH INFECTION
THROAT PROBLEM
TONGUE PROBLEM
TOOTH PROBLEM
TURMOUR
ULCERS
ULICERS
ULSERS
UTERUS CANCER
UTERUS PAINS
UTERUS PROBLEMS
WEAK LEGS
WOMB PROBLEM
WORMS
WOUND
WROTTEN INTENSTINE
YELLOW FEVER
8
9999
999999999999999999999999999999
BROKEN LEG
DEAF
FIRST FINGER OF THE RIGHT HAND
ONE EYE COMPLETE BLIND
UNKNOWN
9803
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
9803
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
18
19
20
21
8602
1201
1
Sysmiss
IS RESPONDENT 6 YEARS OR OLDER?
IS RESPONDENT 6 YEARS OR OLDER?
IS RESPONDENT 6 YEARS OR OLDER?
IS RESPONDENT 6 YEARS OR OLDER?
IS RESPONDENT 6 YEARS OR OLDER?
9801
2
1
YES
2
NO
9
DK
Sysmiss
During the past 7 days, have you worked for someone who is n
During the past 7 days, have you worked for someone who is n
During the past 7 days, have you worked for someone who is n
During the past 7 days, have you worked for someone who is n
During the past 7 days, have you worked for someone who is n
7811
1992
1
YES
2
NO
9
DK
Sysmiss
And during the past 12 months?
And during the past 12 months?
And during the past 12 months?
And during the past 12 months?
And during the past 12 months?
6814
2989
1
YES
2
NO
9
DK
Sysmiss
During the past 7 days, have you worked in a field or garden
During the past 7 days, have you worked in a field or garden
During the past 7 days, have you worked in a field or garden
During the past 7 days, have you worked in a field or garden
During the past 7 days, have you worked in a field or garden
7812
1991
1
YES
2
NO
9
DK
Sysmiss
And during the past 12 months?
And during the past 12 months?
And during the past 12 months?
And during the past 12 months?
And during the past 12 months?
3316
6487
1
YES
2
NO
9
DK
Sysmiss
During the past 7 days, have you worked for yourself or your
During the past 7 days, have you worked for yourself or your
During the past 7 days, have you worked for yourself or your
During the past 7 days, have you worked for yourself or your
During the past 7 days, have you worked for yourself or your
7811
1992
1
YES
2
NO
9
DK
99
Sysmiss
And during the past 12 months?
And during the past 12 months?
And during the past 12 months?
And during the past 12 months?
And during the past 12 months?
6848
2955
1
YES
2
NO
9
DK
Sysmiss
LOOK BACK TO QUESTION 2. DID THE RESPONDENT WORK FOR SOMEONE
LOOK BACK TO QUESTION 2. DID THE RESPONDENT WORK FOR SOMEONE
LOOK BACK TO QUESTION 2. DID THE RESPONDENT WORK FOR SOMEONE
LOOK BACK TO QUESTION 2. DID THE RESPONDENT WORK FOR SOMEONE
LOOK BACK TO QUESTION 2. DID THE RESPONDENT WORK FOR SOMEONE
7811
1992
1
YES
2
NO
9
DK
Sysmiss
LOOK BACK TO QUESTION 4. DID THE RESPONDENT WORK ON A FAMILY
LOOK BACK TO QUESTION 4. DID THE RESPONDENT WORK ON A FAMILY
LOOK BACK TO QUESTION 4. DID THE RESPONDENT WORK ON A FAMILY
LOOK BACK TO QUESTION 4. DID THE RESPONDENT WORK ON A FAMILY
LOOK BACK TO QUESTION 4. DID THE RESPONDENT WORK ON A FAMILY
6817
2986
1
YES
2
NO
9
DK
Sysmiss
LOOK BACK TO QUESTION 6. DID THE RESPONDENT WORK IN HIS OWN
LOOK BACK TO QUESTION 6. DID THE RESPONDENT WORK IN HIS OWN
LOOK BACK TO QUESTION 6. DID THE RESPONDENT WORK IN HIS OWN
LOOK BACK TO QUESTION 6. DID THE RESPONDENT WORK IN HIS OWN
LOOK BACK TO QUESTION 6. DID THE RESPONDENT WORK IN HIS OWN
2782
7021
1
YES
2
NO
9
DK
Sysmiss
Why did you not work during the past 7 days?
Why did you not work during the past 7 days?
Why did you not work during the past 7 days?
Why did you not work during the past 7 days?
Why did you not work during the past 7 days?
2386
7417
1
OWN ILLNESS
2
HANDICAPPED
3
TOO OLD/RETIRED
4
DO NOT WANT WORK
5
STUDENT
6
HOUSEWORK
7
TOO YOUNG
8
ON VACATION
9
AWAITING REPLY OF EMPLOYER
10
WAITING TO START NEW JOB
11
NO WORK EXISTS
12
DON'T KNOW HOW TO LOOK
13
ILLNESS OF FAMILY MEMBER
14
OTHER REASON (SPECIFY)
99
DK
Sysmiss
Other specified
Other specified
Other specified
Other specified
Other specified
346
ABSENT
AWAY
BIRTH
BLIND
BRIDE
BROKEN LEG
BUILDING A HOUSE
BURIAL
CARE FOR SICK PEOPLE IN HOSPIT
CHILD BIRTH
CRIPPLED
DEATH OF A FAMILY MEMBER
DEATH OF RELATIVE
DOING OTHER JOBS
DOMESTIC CHORES
EASTER PREPARATION
FORBIDEN TO WORK BY HER
FUNERAL
GAVE BIRTH
HEAVY RAIN
HOME CARE
HOME WORK
HONEYMOON
HOUSE WORK
HOUSEWIFE
IN CEREMONIES
IN JAIL
JAIL
LIVES AWAY
LOOKING FOR WORK
MAIDEN
MARRIED SOON
MATERNITY LEAVE
MECHANICS
MEDICAL CARE
MENTAL DISORDER
MISUNDERSTANDING WITH HUSBAND
MOURNING
NO CUSTOMERS
NO FARM
NO SPECIFIC WORK
NO TRAINING FOR WELDING
NOT LIVING IN THAT FAMILY
OLD AGE
OPERATION
OTHER DUTIES
PREGNANT
PREPARING NEW DWELLING
PREPARING R.HOLIDAY
PROPHETIC MISSION
RECENTLY MARRIED
RELIGIOUS HOLIDAY
SEMINAR KAYANGA
SEWING LESSONS
SOLD THE FISHING EQIPMENTS
TAKING CARE OF HER SISTER
VETA
VOCATIONAL TRAINING
WAS CARING SICK PERSON
WENT TO LIVE WITH HIS BROTHER
WORKED FOR ANOTHER HOUSEHOLD
WORKING IN ANOTHER SHAMBA
WORKS TO HER SISTER IN LAW
ZOMBIE
What did you do in this work? What kind of trade, industry o
What did you do in this work? What kind of trade, industry o
What did you do in this work? What kind of trade, industry o
What did you do in this work? What kind of trade, industry o
What did you do in this work? What kind of trade, industry o
990
A GUARD
ACADEMIC OFFICER
ACCOUNTANT
APPLESTOLIC MISSION
ARDHI OFFICE
ASECDO
ASSESSOR (COURT)
ASSIST IN HOUSE BUILDING
ASSIST ROAD SURVEYING
ASSIST VEO
ASSISTANT VERTINARY OFFICER
ASSISTING DRAINAGE MAKING
BACKERY
BAKERY
BANANA
BANANA CULTIVATION
BANANA PROONING
BAR ATTENDANT
BAR MAID
BAR SERVER
BAR-MAID
BARBER
BARMAID
BIBLE TEACHER
BLANK SMITH
BOAT DRIVER
BRACKING STONE
BRANCH MANAGER
BRICK LAYER
BRICK LAYING
BRICK MAKING
BRICKS LAYER
BRICKS LAYING
BUILDING
BUILDING HOUSE
BUILDING HOUSES
BUILDING SAVER
BUS CONDUCTOR
BUTCHER MAN
BUTCHERMAN
BUYING COFEE
BUYING COTTON
BUYING MAIZE FOR SOMEONE
CAR ELECTRICIAN
CAR MECHANICS
CAR REPAIR
CAR REPAIR (GARAGE)
CAR WASHING
CARPENTER
CARPENTRY
CARRYING CARGO
CARRYING FIREWOOD
CARRYING FIREWOOD FOR TIMBER
CARRYING LOADS
CARRYING LUGGAGES
CARRYING SAND
CARVET CONSTRUCTION
CASUAL
CASUAL EMPLOYMENT
CASUAL IN HOUSE BUILDING
CASUAL LABOR
CASUAL LABOUR
CASUAL LABOURER
CASUAL MECHANICAL
CASUAL WORK
CASUAL WORKER
CATERING CLEANER
CELEMONY DECORATOR
CHICKEN FEEDING
CHICO BRIDGE WORKS ( ROAD )
CLEANESS
CLERICAL
CLERK
COFFEE BUYING/PROCESS
COFFEE CLEANER
COFFEE HARVEST
COLLECTING BEANS
COLLECTING COFFEE
COLLECTING FIREWOOD
COLLECTION OF BRICKS AND TREE
COMPUTER INSTRUCTOR
CONDUCTOR
CONDUCTOR (HIACE)
CONSTRUCTION
COOK
COORDINATOR
COUNSELLOR
COUNSIL COMMITEE MEMBER
COW FEEDING
COW HERDING
COWBOY
COWBOY(LABOURER)
CRAFTSMAN
CULTIVATING BANANA
CULTIVATING PUDDY
CULTIVATING SWEET POTATOES
CULTIVATION
CUTING GRASS
CUTTING AND SELLING GRASS
CUTTING FIREWOOD
CUTTING GLASS
CUTTING GRASS
CUTTING GRASS FOR FARM
CUTTING GRASSES
CUTTING LOGS
CUTTING LOGS FOR BRICK BURNING
CUTTING TIMBER
CUTTING TREES
DAILY WAGES
DIGGING
DIGGING INTO PEOPLE'S FARM
DIGGING LATRINES
DISCO JOCKER ( DJ )
DISTRIBUTION OF BREADS
DISTRIBUTION OF VANILLA
DISTRICT EDUCATION OFFICER
DISTRICT TRADE OFFICER
DK
DOCTOR OF VETERNARY
DOMESTIC JOB
DOOR TO DOOR SELLER
DRIVER
DRIVER BODABODA
DRIVER/ROLLER
DRIVING
EDUCATION PROF
EDUCATION PROFFESIONAL ADMIN
ELECTONIC TECHNICIAN
ELECTRICIAN
ENVIRONMENT CLEANING
ENVIRONMENTAL ATTENDANT
ENVIRONMENTAL CLEANER
EVANGELIST
FACTORY WORKER
FARM ACTIVITIES
FARM ACTIVITY
FARM CASUAL WORKER
FARM LABOUR
FARM WORK
FARMING
FARMING ( LABOURER)
FARMING (DIGGING)
FARMING - TASAF
FARMING /LIVESTOCK
FARMING ACTIVITIES
FARMING ACTIVITY
FARMING/LIVESTOCK
FEED COW
FEEDING CATTLE
FERTILISING FARM
FETCHING FIREWOOD
FETCHING WATER
FIELD ASSISTANT
FISH PROCESSING
FISH VENDOR
FISHERMAN
FISHING
FISHING BUSINESS
FISHING SARDINES
FISHING SUPERVISOR (IGABIRO)
FLORIST
GARAGE
GARDENER
GRAIZING
GRASS CUTTING
GRASSCUTTING
GRAZING ANIMAL
GRAZING CATTLE
GRINDING MACHINE LABOURER
GROWING TREES - TASAF
GUARD
HAIR DRESSER
HAIR DRESSING
HARVEST COFFEE
HARVESTING COFFEE
HARVESTING MILLET
HEALTH OFFICER
HELPERON TRUCK
HELPING CRAFTSMAN
HIACE CONDUCTOR
HIACE-CONDUCTOR
HOTEL ATTENDANT
HOTEL SERVER
HOTEL WAITER
HOTELIER
HOUSE BOY
HOUSE BOY(SALES OF BURNS)
HOUSE CARE
HOUSE CONSTRUCTOR
HOUSE GIRL
HOUSE GUARD
HOUSE WORK
HOUSEBOY
HOUSEGIRL
HOUSEKEEPING
HOUSEWORK
HUSTLING
HUYAWA FIELD ASSISTANT
INVITING PASSENGERS
KATEKISTA
KATIBU KATA
KEEPING CATTLE
KEEPING GOATS
KEEPING LIVESTOCK
KIOSK
LABORATORY ASSISTANT
LABORATORY TECHNICIAN
LABOUR KAGERA SUGAR
LABOURER
LABOURER (COWS KEEPER)
LIVESTOCK
LIVESTOCK HERDING
LIVESTOCK KEEPING
LORRY TRANSPORT
LORY DRIVER
LUMBERING
MAKING BRICK
MAKING BRICKS
MAKING CLEANLINESS
MAKING DRUM
MAKING FISHING NETS
MAKING LOCAL BANANA BEER
MAKING LOCAL BREWS CASUAL EMPL
MAKING TIMBER
MANAGER(NMB)
MASON
MASON (CASUAL)
MASON BUILDING
MASON SAVER
MASON(HOUSE BUILDING)
MASONRY
MASOON
MASSON
MB
MEASURING WATER SOURCES
MECHANICAL ENGINEERING
MECHANICAL FITTER
MECHANICS
MEDICAL RECORDING
MERCHANT
MESENARY BUILDER
MESENERY BUILDER
METER READER
MHUDUMU
MILK SUPPLIER
MILLING MACHINE
MILLING MACHINE OPERATOR
MILLING MAIZE
MKATABA SERVANT
MOTOR MECHANICS
MOWER
NERSE
NURSE
NURSE ASSISTANT
NURSING
NURSING OFFICER
OFFICE ATTENDANT
OTHER NON FARM BUSINESS
P/S TEACHER
PAINTING
PARKING STONES AND BRICKS
PASTOR
PASTOR OF PENTECOSTE
PERSONAL SECRETARY
PHARMASIST
PLAITER
PLANTING
PLANTING BEANS
PLANTING TREES
PLUKING COFFEE
PLUNING
POLICE
POLICE(PRISON)
POLICEMAN
PORTER
PORTERING
POST MASTER
POSTER
POTER
POTERING
POTTERING COWDUNG
PRISON OFFICER
PROCESSING FISH
PROFESSIONAL COOK
PRUNING
PRUNNING COFFEE
PUDDY CULTIVATION
PULLING FISHNET
RAOD CLEANER
RECEPTIONIST
RESTAURANT
REVENUE COLLECTOR
ROAD BUILDING
ROAD CLEARING
ROAD CONSTRUCTION
SALES MEAT
SALES PETROL
SALOON
SALOON WORKER
SCALE INSPECTOR
SCHOOL COOK
SECRETARY
SECURITY GUARD
SELLING BISCUITS
SELLING BREADS
SELLING CEREALS
SELLING CLOTHES
SELLING FISH
SELLING FRUITS
SELLING GOODS
SELLING IN A KIOSK
SELLING MEAT(BUTCHER)
SELLING MITUMBA
SELLING MOTOR OIL
SELLING SECOND HAND CLOTHES
SELLING STATIONARY
SELLING TREES
SERVANT
SERVER
SERVICE MAN
SHAMBA WORK
SHOP KEEPER
SHOP-SELLER
SHOPKEEPER
SKILLED TRADE
SLASHING GRASS
SOLDIER
SOWING BEANS
SOWING BEANS
STADIUM ATENDANT
STALL HOLDER
STONE BREAKER
STONE CRUSHING
STONE GRINDING
STORE KEEPER
STOREKEEPER
SUPERVISING CASUAL LABORERS
TAX DRIVER
TAXI DRIVER
TEACHER
TEACHING
TECHNICIAN
TENDING BANANA
TILLING
TIMBER CUTTING
TO CARRY CARGOES
TO FETCH WATER
TO GIVE SERVICE TO MILK COW
TO HARVEST COFFEE
TON-BOY
TOUT
TRAFFIC POLICE
TRANSPORT
TRANSPORTATION BY BICYCLES
TRANSPORTATION TRUCK
TRANSPORTING BANANA
TRANSPORTING CROPS
TURN BOY
TURN-BOY
UNLOADING/LOADING CARGO
VEHICLE CONDUCTOR
VEO-MARUKU
VIDEO SHOW
VILLAGE C/MAN
VILLAGE CHAIRMAN
VILLAGE EXECUTIVE OFFICER
WAITER
WARD POLITICAL LEADER CCM
WASHING CLOTHES ( CASUAL )
WATCH MAN
WATCHMAN
WATER VENDOR
WEAVING FISHNET
WEEDING
WEEDING CASSAVA FARM
WEEDING IN SUGAR FARM
WEEDING IN THE SHAMBA
WELDING
WORK IN A.AJ ORPHANCE CENTRE
WORKED IN THE TEXTILE IND.
WORKING IN A MILLING MACHINE
WORKING IN A PETROL STATION
WORKING IN A SHAMBA
WORKING IN GARAGE
WORKING IN SALON
WORKING IN SALOON
WORKING ON ROAD CONSTRUCTION
WORLD VISION/PROJECT CHAIRMAN
labourer
CODE
CODE
CODE
CODE
CODE
992
8811
1
FARMING/LIVESTOCK
2
FISHING
3
TRADER/MERCHANT/SALES
4
TRANSPORT
5
CONSTRUCTION
6
EDUCATION PROFESSIONAL/ADMIN
7
HEALTH PROFESSIONAL/ADMIN
8
OTHER PROFESSIONAL/ADMIN
9
SECRETARY/CLERICAL
10
FACTORY WORKER
11
RESTAURANT, BAR OR HOTEL
12
SKILLED TRADES
13
OTHER (SPECIFY:________)
14
99
DK
Sysmiss
mon
mon
mon
mon
mon
992
8811
99
7.498
13.476
tue
tue
tue
tue
tue
991
8812
99
7.337
12.822
wed
wed
wed
wed
wed
991
8812
99
7.42
12.793
thu
thu
thu
thu
thu
991
8812
99
7.392
13.166
fri
fri
fri
fri
fri
991
8812
99
7.312
13.204
sat
sat
sat
sat
sat
991
8812
99
6.183
13.074
sun
sun
sun
sun
sun
991
8812
99
3.774
13.237
Is this number the number of hours you usually work at this
Is this number the number of hours you usually work at this
Is this number the number of hours you usually work at this
Is this number the number of hours you usually work at this
Is this number the number of hours you usually work at this
990
8813
1
YES
2
NO
9
DK
Sysmiss
Why did you not work your usual hours in the past 7 days?
Why did you not work your usual hours in the past 7 days?
Why did you not work your usual hours in the past 7 days?
Why did you not work your usual hours in the past 7 days?
Why did you not work your usual hours in the past 7 days?
325
9478
1
OWN ILLNESS
2
ILLNESS OF FAMILY MEMBER
3
OVERTIME DUE TO ILLNESS OF OTHER EMPLOYEE
4
OTHER OVERTIME
5
PUBLIC OR RELIGIOUS HOLIDAY
6
VACATION
7
FUNERAL/MOURNING PERIOD
8
OTHER ABSENCE (SPECIFY:________)
9
DK
Sysmiss
Other specify
Other specify
Other specify
Other specify
Other specify
138
ABSENCE OF MAIN MASON
ABSENCE OF WORK
ASKED BY UNCLE
ATTEND GROUP MEETING
ATTENDING A CASE IN COURT
ATTENDING KHDS2 INTERVIEW
ATTENDING MOURNING
AWAY
BAD CONDITION IN THE LAKE
BY CHANCE DUTIES
CAR SERVICE
DAY OFF
DEPEND ON AVAILABILITY OF WORK
DEPENDING ON JOB
DEPENDS ON AVAILABILITY OF WORK
DEPENDS ON CUSTOMERS
DK
DRUNK
EMERGENCY
END OF CONTRACT
FAMILY PROBLEMS
FARMING
FIND FOOD
HE WENT TO LOOK HIS PATIENT
HE WENT TO THE MARKET
HOME ACTIVITIES
IRREGULAR TIME TABLE
LACK OF CARGO
LACK OF CUSTOMERS
LACK OF FUND
LACK OF LABORERS
LACK OF ORDERS
LACK OF WORK
MACHINE PROBLEMS
MID-HOLIDAY
NATIONAL TORCH
NEW EMPLOYEE
NEW JOB
NIGHT
NO FRUITS
NO JOB
OTHER RESPONSIBILITIES
OTHER WORK
PAIN
PERIODIC DUTIES
RAIN
RECOVERED FROM ILLNESS
RESTING
SCHOOL CLOSED
SELLING FISH AND BEANS
SHORTAGE OF EQUIPMENT
SMALL JOB
TIRED
TO WORK IN OWN SHAMBA
TOO BUSY AT HOME
VOLUNTEER
WAITING FOR OTHER EMPOLYMENT
WEATHER
WENT MARKETING
WIFE GAVE BIRTH
WORKED AT THE HOUSEHOLD FARM
WORKING AT HOME
For whom did you work in the past 7 days? That is, did you
For whom did you work in the past 7 days? That is, did you
For whom did you work in the past 7 days? That is, did you
For whom did you work in the past 7 days? That is, did you
For whom did you work in the past 7 days? That is, did you
992
8811
1
THE GOVERNMENT
2
A STATE-OWNED COMPANY
3
A PRIVATE EMPLOYER
4
COOPERATIVE SOCIETY
5
RELIGIOUS INSTITUTION
6
OTHER (SPECIFY)
9
DK
Sysmiss
Other specify
Other specify
Other specify
Other specify
Other specify
4
9799
2
9
Sysmiss
Do you receive a salary for this work?
Do you receive a salary for this work?
Do you receive a salary for this work?
Do you receive a salary for this work?
Do you receive a salary for this work?
992
8811
1
YES
2
NO
9
DK
Sysmiss
AMOUNT
AMOUNT
AMOUNT
AMOUNT
AMOUNT
948
8855
3
999999
51232.94
173770.749
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
947
8856
1
YES
2
NO
3
4
5
6
9
DK
Sysmiss
For how many ...[REFER TO TIME UNIT IN QUESTION 7]... did yo
For how many ...[REFER TO TIME UNIT IN QUESTION 7]... did yo
For how many ...[REFER TO TIME UNIT IN QUESTION 7]... did yo
For how many ...[REFER TO TIME UNIT IN QUESTION 7]... did yo
For how many ...[REFER TO TIME UNIT IN QUESTION 7]... did yo
948
8855
999
75.445
168.204
Did you or will you receive per diem allowances, bonuses, in
Did you or will you receive per diem allowances, bonuses, in
Did you or will you receive per diem allowances, bonuses, in
Did you or will you receive per diem allowances, bonuses, in
Did you or will you receive per diem allowances, bonuses, in
990
8813
1
YES
2
NO
9
DK
Sysmiss
AMOUNT
AMOUNT
AMOUNT
AMOUNT
AMOUNT
64
9739
1
999999
46145.922
174704.441
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
64
9739
1
YES
2
NO
3
4
5
6
9
DK
Sysmiss
Have you received or will you receive payment for this work
Have you received or will you receive payment for this work
Have you received or will you receive payment for this work
Have you received or will you receive payment for this work
Have you received or will you receive payment for this work
990
8813
1
YES
2
NO
9
DK
Sysmiss
AMOUNT
AMOUNT
AMOUNT
AMOUNT
AMOUNT
128
9675
200
999999
38664.031
174531.218
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
128
9675
1
YES
2
NO
3
4
5
6
9
DK
Sysmiss
Will you receive a retirement pension for this work?
Will you receive a retirement pension for this work?
Will you receive a retirement pension for this work?
Will you receive a retirement pension for this work?
Will you receive a retirement pension for this work?
990
8813
1
YES
2
NO
9
DK
Sysmiss
Have you worked as an employee at any other job in the past
Have you worked as an employee at any other job in the past
Have you worked as an employee at any other job in the past
Have you worked as an employee at any other job in the past
Have you worked as an employee at any other job in the past
987
8816
1
YES
2
NO
9
DK
Sysmiss
DESCRIPTION
DESCRIPTION
DESCRIPTION
DESCRIPTION
DESCRIPTION
53
1
22
32
ASSISTING HOUSE BUILDING
BRICK MAKING
BUTCHERY
CARPENTRY
CARRYING LOADS
CARRYING SAND,STONES
CARRYING STONES
CASUAL
CASUAL LABOUR
CASUAL LABOUR (DISTILLERY)
CHEAP LABOUR
CONSTRUCTION
COOKING
CUTTING GRASS
CUTTING TREES
FARMING
FETCHING WATER
FETCHING WATER FOR PEOPLE
HOUSE BUILDING
KIOSK CONSTRUCTION
MECHANICS
OIL PUMP OPERATION
PORTER
PORTERING
ROAD MAINTENANCE
SHOPKEEPER
SOCIETY WORKER
SODA DISTRIBUTER
TENDING BANANA
TRANSPORTER
WATCHMAN
WATER VENDOR
WEEDING
CODE
CODE
CODE
CODE
CODE
47
9756
1
FARMING/LIVESTOCK
2
FISHING
3
TRADER/MERCHANT/SALES
4
TRANSPORT
5
CONSTRUCTION
6
EDUCATION PROFESSIONAL/ADMIN
7
HEALTH PROFESSIONAL/ADMIN
8
OTHER PROFESSIONAL/ADMIN
9
SECRETARY/CLERICAL
10
FACTORY WORKER
11
RESTAURANT, BAR OR HOTEL
12
SKILLED TRADES
13
OTHER (SPECIFY:________)
99
DK
Sysmiss
mon
mon
mon
mon
mon
47
9756
1
2
3
4
5
6
7
8
12
Sysmiss
tue
tue
tue
tue
tue
47
9756
1
2
3
4
7
8
12
Sysmiss
wed
wed
wed
wed
wed
47
9756
1
2
3
4
6
7
8
12
Sysmiss
thu
thu
thu
thu
thu
47
9756
1
2
3
4
6
7
8
11
12
Sysmiss
fri
fri
fri
fri
fri
47
9756
1
2
3
4
5
6
7
8
12
Sysmiss
sat
sat
sat
sat
sat
47
9756
1
2
3
4
5
6
7
8
10
11
12
Sysmiss
sun
sun
sun
sun
sun
47
9756
1
2
4
5
8
12
Sysmiss
AMOUNT
AMOUNT
AMOUNT
AMOUNT
AMOUNT
47
9756
150
30000
3859.574
6251.727
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
46
9757
1
YES
2
NO
3
4
5
9
DK
Sysmiss
During the past 7 days, have you worked in a fieldor garden
During the past 7 days, have you worked in a fieldor garden
During the past 7 days, have you worked in a fieldor garden
During the past 7 days, have you worked in a fieldor garden
During the past 7 days, have you worked in a fieldor garden
992
8811
1
YES, FARMING, WITH OR WITHOUT LIVESTOCK
2
YES, LIVESTOCK ONLY
3
NO
9
DK
Sysmiss
In the past 7 days, were you self-employed in your own busin
In the past 7 days, were you self-employed in your own busin
In the past 7 days, were you self-employed in your own busin
In the past 7 days, were you self-employed in your own busin
In the past 7 days, were you self-employed in your own busin
506
9297
1
YES
2
NO
9
DK
99
Sysmiss
In the past 7 days have you worked on shambas/gardens belong
In the past 7 days have you worked on shambas/gardens belong
In the past 7 days have you worked on shambas/gardens belong
In the past 7 days have you worked on shambas/gardens belong
In the past 7 days have you worked on shambas/gardens belong
4131
5672
1
YES
2
NO
9
DK
Sysmiss
mon
mon
mon
mon
mon
4235
5568
99
2.966
3.443
tue
tue
tue
tue
tue
4235
5568
99
2.998
3.437
wed
wed
wed
wed
wed
4235
5568
99
3.022
3.433
thu
thu
thu
thu
thu
4235
5568
99
3.003
3.439
fri
fri
fri
fri
fri
4235
5568
99
2.825
3.763
sat
sat
sat
sat
sat
4235
5568
99
2.783
3.487
sun
sun
sun
sun
sun
4234
5569
99
0.322
2.84
In the past 7 days, have you spent any time caring or transf
In the past 7 days, have you spent any time caring or transf
In the past 7 days, have you spent any time caring or transf
In the past 7 days, have you spent any time caring or transf
In the past 7 days, have you spent any time caring or transf
4517
5286
1
YES
2
NO
9
DK
Sysmiss
mon
mon
mon
mon
mon
1852
7951
99
0.912
2.564
tue
tue
tue
tue
tue
1852
7951
99
0.88
2.564
wed
wed
wed
wed
wed
1852
7951
99
0.884
2.545
thu
thu
thu
thu
thu
1852
7951
99
0.893
2.575
fri
fri
fri
fri
fri
1852
7951
99
0.878
2.554
sat
sat
sat
sat
sat
1852
7951
99
0.928
3.417
sun
sun
sun
sun
sun
1852
7951
99
0.816
2.518
In the past 7 days, were you self-employed in your own busin
In the past 7 days, were you self-employed in your own busin
In the past 7 days, were you self-employed in your own busin
In the past 7 days, were you self-employed in your own busin
In the past 7 days, were you self-employed in your own busin
4526
5277
1
YES
2
NO
9
DK
Sysmiss
DESCRIPTION
DESCRIPTION
DESCRIPTION
DESCRIPTION
DESCRIPTION
949
7
ALCOH MAKER
ALCOHOL MAKER
ALCOHOL SELLER
ARDHI OFFICE
ARTIST
ASECDO DRIVING
ASSISTANT MASON
BAR
BARBER
BASKET WEAVING
BEDSHEET KNITING
BICYCLE MECHANICS
BICYCLE REPAIR
BICYCLE REPAIRE
BICYCLE REPAIRER
BICYCLE REPAIRING
BICYCLE RIDING
BICYCLE TECHNICIAN
BICYCLE TRANSPORTATION
BLANK
BREWING BANANA PROCESS
BREWING LOCAL BEER
BREWING LOCAL DRINKS
BRICK LAYER
BRICK LAYING
BRICK MAKING
BRICKS LAYING
BRICKS MAKING
BUILDING
BUILDING AND ROAD CONTRACTOR
BUILDING CLASSROOMS
BUSINESS
BUSINESS ( BICYCLE )
BUTCHER
BUTCHERY
BUY AND SELL RICE,MAIZE,BEANS
BUYING & SELLING BEANS
BUYING & SELLING CHARCOAL
BUYING & SELLING COFFEE
BUYING AND SALES CROPS
BUYING AND SELLING BANANA
BUYING AND SELLING CLOTHES
BUYING AND SELLING CORN
BUYING AND SELLING CROPS
BUYING AND SELLING FISH
BUYING AND SELLING RICE
BUYING AND SELLING SARDINE
BUYING AND SELLING SORGHUM
BUYING CROPS
BUYING&SELLING CROPS
BUYING&SELLING GROUND NUTS
BUYING/SELLING BANANA
BUYING/SELLING FISH
BUYING/SELLING SARDINES
BUYS AND SALES FISH
BUYS AND SALES LOCAL BEER
CAFE
CAFETERIA
CALL BOX SERVICES
CANTEEN
CAPENTRY
CAR WASHING
CARPENTER
CARPENTRY
CASUAL LABOUR
CATCHING FISH
CATECHIST
CHANGING MONEY
CHARCOAL STOVE MAKING
CHOPPING FIREWOOD
CLOTH SELLER
COBBLER
COBRA
COBRER
COFFEE BROKER
COLLECTING BANANA
COLLECTING LOCAL BREW
CONSTRUCTOR
CUTTING AND SELLING GRASS
CUTTING GRASS
CUTTING GRASS FOR SALE
CUTTING GRASSES
DOCTOR OF VETERNARY
DRILLING AND SELLING SAND
DRIVER
DRIVING TRUCKS
ELECTRICAL TECHNICIAN
ELECTRICIAN
ELECTRONIC TECHNICIAN
FACTORY COORDINATOR
FACTORY DIRECTOR
FEEDING HUT (CAFE)
FISH MONGER
FISH SALES
FISHERMAN
FISHING
FISHING /SELLING FISH
FISHING ACTIVITIES
FISHING SALES MAN
FISHING SARDINES
FISHING/SELLING FISH
FRIED MEAT AND CHIPS
FURNITURE MAKING
GUEST HOUSE
HAIR CUTTING
HAND CRAFT
HANDCRAFT
HAWKER
HERBALIST
HOTEL
HOTEL ADMINISTRATION
HOTEL AND SHOP COORDINATOR
INSPECTING KIOSK
IRON SMITH
KIOSK
KIOSKI
KNITTING
KNITTING THREAD FOR ANIMALS
LEARNING MECHANICS
LOCAL BANANA BEER
LOCAL BREW
LOCAL BREW REFINING
LOCAL BREW(NDIMASI)
LOCAL CARPET WEAVING
LUMBERING
MAKES AND SALES BANS
MAKES BANS
MAKING ALCOHOL
MAKING AND SELLING PAN CAKES
MAKING BRICKS
MAKING BUNS
MAKING CANOES
MAKING DRUMS
MAKING LOCAL BEER
MAKING LOCAL BREW
MAKING LOCAL BREW IN BUSINESS
MAKING LOCAL MAIZE BEER
MAKING MATS
MAKING PAN CAKES
MAKING POTTERY
MAKING SAND
MAKING TABLE MATES
MAKING VENTS
MAKING WINDOWS/FRAME/DOOR POST
MAKING/SELLING BITES
MAKING/SELLING POTS
MARKET AGENT
MASON
MASOON
MAT KNITTING
MAT WEAVING
MECHANICAL ENGINEERING
MECHANICAL ENGINERING
MECHANICS
MEDICAL STORE
MERCHANT
MIDDLEMAN IN CROP SALES
MILLING MACHINE
MILLING MACHINE OPERATOR
MOTOCYLE MECHANICS
MOTORBIKES REPAIR
NURSERY SCHOOL TEACHER
NURSING
OTHER NON FARM BUSINES
PAINTER
PAINTING
PHARMACY
PHOTOGRAPHER
PHOTOGRAPHING
PLAITING HAIR
PLANTING
POLICEMAN
POOLS OWNER
PORTER
POTER
PREOARATION OF BANANA BEER
PREPARATION OF LOCAL BREW
PREPARE AND SELL LOCAL BEER
PREPARE LOCAL LOCAL
PREPARE PANCAKES
PREPARING/SELLING LOCAL BREW
PRIVATE TEACHER
PROCESSING/SELLING PALM OIL
PRODUCING TIMBER
PUNCTURE REPAIRER
PURCHASING OFFICER-SAW MILLING
RADIO AND WATCH REPAIR
RADIO REPAIR
RADIO REPAIRING
RESTAURANT
RESTAURANT,BAR OR HOTEL
RETAIL
RETAILER
RIDING BICYCLE(ASECDO)
RIDING MOTORCYCLE
ROASTING MEAT
RUNNING A BAR
SALES (MOBILE KIOSK)
SALES AVOCADO
SALES CROPS
SALES FISH
SALES LOCAL BANANA BEER
SALES LOCAL BEER
SALES METAL
SALES OF BANANA
SALES OF BANANA JUICE &FRUIT
SALES OF BANANA JUICE FRUITS
SALES OF BANANA KONYAGI
SALES OF BEER
SALES OF BEVERAGE
SALES OF BUNS
SALES OF CHARCOL
SALES OF CLOTHES
SALES OF DIESEL
SALES OF FUEL
SALES OF LOCAL BEER
SALES OF LOCAL BREW
SALES OF MILK
SALES OF MITUMBA
SALES OF RICE
SALES OF SARDINES
SALES OF TOMATOES
SALES PESTCIDES
SALON
SALOON
SALT,MATCH,KEROSINE,ETC
SELIING SECOND HAND CLOTUERS
SELING BANANA
SELING FIREWOOD
SELING LOCAL BANANA BEER
SELING SECOND HAND CLOTHES
SELLING ALCOHOL
SELLING BAN
SELLING BANANA
SELLING BANANA JUICE
SELLING BANANAS
SELLING BARAGALA
SELLING BEANS
SELLING BEER
SELLING BEER/LOCAL BEER
SELLING BEER/LOCAL BREW
SELLING BITES
SELLING BREADS
SELLING BUNS
SELLING BURNS
SELLING CASH CROP
SELLING CASSAVA
SELLING CELL PHONES
SELLING CEREAL
SELLING CEREALS
SELLING CHARCOAL
SELLING CHARCOAL& BANANA
SELLING CHARCOAL/BANANA/FISH
SELLING CHICKEN
SELLING CLOTHES
SELLING COFFEE
SELLING COFFEE(RESTAURANT)
SELLING COOKED COFFEE
SELLING COOKED FOOD
SELLING COOKING BANANA
SELLING COOKING BANANAS
SELLING COOKING OIL
SELLING COWS
SELLING CROPS
SELLING DAGAA
SELLING DAGAA&TOMATO
SELLING DRIED CASSAVA
SELLING EGGS
SELLING FIREWOOD
SELLING FISH
SELLING FISH /BEANS
SELLING FISH AND BANS
SELLING FISH AND SUGAR CANE
SELLING FLOUR MEAL
SELLING FOOD CROPS
SELLING FOOD ITEMS ON THE TABL
SELLING FRUITS
SELLING GOATS
SELLING GOODS
SELLING GROUNDNUTS
SELLING IN A KIOSK
SELLING IN THE MARKET
SELLING KANGA
SELLING KONYAGI
SELLING LOCAL BANANA BEER
SELLING LOCAL BANANA BEER/MEAT
SELLING LOCAL BANANA BREW
SELLING LOCAL BEER
SELLING LOCAL BREW
SELLING LOCAL DRINK
SELLING LOCAL DRINKS
SELLING LOCAL JUICE
SELLING LOCAL MADE SHOES
SELLING MAIZE
SELLING MAIZE AND BEANS
SELLING MAIZE,MILLET AND BEANS
SELLING MATS
SELLING MEAT
SELLING MEAT(KEBAB)
SELLING MILK
SELLING MILLET
SELLING OF BITTER TOMATOES
SELLING OF LOCAL BREW
SELLING OF MILLET
SELLING ONIONS
SELLING PALM FRUITS
SELLING PALM OIL
SELLING PAN CAKE
SELLING PAN CAKES
SELLING PANCAKE
SELLING PANCAKES
SELLING PINAPLES
SELLING POLYBAGS
SELLING PORRIDGE
SELLING PORRIGE
SELLING PRODUCTS
SELLING RADIOCASSETE COMPACT
SELLING RICE/MAIZE
SELLING RIPE BANANA
SELLING RUBISI
SELLING SARDINES
SELLING SECOND HAND CLOTHES
SELLING SECOND HAND SHOES
SELLING SECONDHAND CLOTHES
SELLING SHOES
SELLING SKINS
SELLING SPAGHETTE
SELLING STONE CRACKING
SELLING SUGARCANE
SELLING TEA
SELLING TEA AND BEANS
SELLING TIMBER
SELLING TIMBERS
SELLING TOMATOES
SELLING USED SPARE PARTS
SELLING USED SPAREPARTS
SELLING VEGETABLES
SELLING VITENGE
SELLING VITENGE/SARDINE
SELLING VITUMBUA
SELLING WOMEN'S WEAR
SELLING/MAKING LOCAL BREW
SELLINGE LOCAL BEER
SEWS AND WEAVES CLOTHES
SHOE MAKER/RADIO,WATCH FUNDI
SHOES MENDING
SHOP
SHOP ( RETAIL TRADE )
SHOP ( RETAIL TRADE)
SHOP KEEPER
SHOP KEEPING
SHOP WHOLE SALE/RETAILOR
SHOP WHOLESALE/RETAILOR
SHOPKEEPER
SKILLED TRADE
STATIONARY
STONE CRACKER
STONE CRUSHING
STORE
TAILOR
TAILORING
TANSPOTATION
TEACHER
TEACHER ( TUITION )
TO BUY AND SELL BANANA
TO BUY VANILLA
TO MAKE LOCAL BANANA BEER
TRADE/SHOP
TRADER
TRADER(KIOSK)
TRADING
TRADING ASSORTED GOODS
TRADING COOKING OIL&KEROSENE
TRADING FISH
TRADING PESTCIDES
TRADING SEASONAL CROPS
TRADITIONAL HEALER
TRAINER
TRANSPORTATION TRUCKS
TRANSPORTATION(ASECDO)
TRANSPOTATION
TUITION
VEHICLE MECHANICS
VERTINARY OFFICER
VIDEO SHOW
VIGARA WEAVING
VILLAGE LEADERSHIP AFFAIRS
WATER VENDOR
WEAVING
WEAVING FISHING ROPES
WEAVING(FIBER CARPET)
WELDING
WELDING AND BATTERY CHARGING
WHOLESALER-CLOTHES
WORKING IN A SMALL BUSINESS
WORKSHOP
fishing
handcraft
selling banana
selling locoh bren
CODE
CODE
CODE
CODE
CODE
945
8858
1
FARMING
2
FISHING
3
TRADER/MERCHANT/SALES
4
TRANSPORT
5
CONSTRUCTION
6
EDUCATION PROFESSIONAL/ADMIN
7
HEALTH PROFESSIONAL/ADMIN
8
OTHER PROFESIONNAL/ADMIN
9
SECRETARY/CLERICAL
10
FACTORY WORKER
11
RESTAURANT, BAR OR HOTEL
12
SKILLED TRADE
13
OTHER (SPECIFY)
99
DK
Sysmiss
MON
MON
MON
MON
MON
947
8856
99
5.645
10.554
TUE
TUE
TUE
TUE
TUE
947
8856
99
5.878
10.527
WED
WED
WED
WED
WED
947
8856
99
5.92
10.542
THU
THU
THU
THU
THU
947
8856
99
5.883
10.517
FRI
FRI
FRI
FRI
FRI
947
8856
99
5.757
10.557
SAT
SAT
SAT
SAT
SAT
947
8856
99
5.99
10.499
SUN
SUN
SUN
SUN
SUN
947
8856
99
4.063
11.075
Is this number [CITE TOTAL FROM Q2] the number of hours you
Is this number [CITE TOTAL FROM Q2] the number of hours you
Is this number [CITE TOTAL FROM Q2] the number of hours you
Is this number [CITE TOTAL FROM Q2] the number of hours you
Is this number [CITE TOTAL FROM Q2] the number of hours you
946
8857
1
YES
2
NO
9
DK
Sysmiss
Why did you not work your usual hours in the past 7 days?
Why did you not work your usual hours in the past 7 days?
Why did you not work your usual hours in the past 7 days?
Why did you not work your usual hours in the past 7 days?
Why did you not work your usual hours in the past 7 days?
336
9467
1
OWN ILLNESS
2
ILLNESS OF FAMILY MEMBER
3
OVERTIME DUE TO ILLNESS OF OTHER EMPLOYMENT
4
OTHER OVERTIME
5
PUBLIC OR RELIGIOUS HOLIDAY
6
VACATION
7
FUNERAL/MOURNING PERIOD
8
OTHER ABSENCE (SPECIFY)
9
DK
Sysmiss
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
183
ABSENCE OF CHARCOAL
ABSENCE OF CUSTOMERS
ALREADY SEARCHED
ATTEND THE COURT
ATTENDING CLINIC
ATTENDING MASS
ATTENDING MEETING
AWAY
BAIL HIS RELATIVE AT KAYANGA
BARMAID ESCAPED
BUSY AT HOME
CHASED AWAY
COLLECTING BANANA TO SALE
DELIVERED
DEPEND ON AVAILABILITY OF CROP
DEPEND ON MATERIALS
DEPEND ON WEATHER CONDITION
DEPEND TO AVAILABILITY OF BANA
DEPEND TO THE ORDER GIVEN
DEPENDS ON CUSTOMERS
DEPENDS ON NUMBER OF PATIENTS
DEPENDS ON ORDERS
DEPENDS ON OTHER DUTIES
DEPENDS ON OTHER WORKS
DEPENDS ON THE TREND OF BUSINESS
DEPENDS ON WORK DIVERSITY
DONE BY HIS BROTHER
FAMILY PROBLEM
FARM WORK
FEW CUSTOMERS
FRACTUATION
FUNERAL
GUIDE TO HH01DURING SURVEY
HAD NO RAW MATERIALS
HEAVY RAINS
HOME VISITING
HOUSEHOLD DUTIES
LACK OF ITEMS TO SELL
LACK OF ORDERS
LACK OF RAW MATERIALS
LACK OF TENDERS
LAKE WAVES(WINDY IN THE LAKE)
LOOKING FOR TIMBERS
NO CUSTOMERS
NO DRINKS
NO FISH
NO ITEMS TO SELL
NO WORK EXISTED
NOT WELL CLEARED(CHECK IN HHQ)
OTHER WORK
PREGNANCY
RAIN
RESTING
SELLING FISH
SENDING THE CHILD TO SCHOOL
SHOPPING
STILL IN PREPARATION
STORM
TEMPORARY
THERE WAS NO FISH
THERE WAS NO TIMBER
WAITING FOR INTERVIEW
WEATHER
WEEDING IN THE FARM
WHEN PROBLEM ARISE
WIFE GAVE BIRTH
WIND
WORK EXISTED
WORKING IN HH FARM
YEARS
YEARS
YEARS
YEARS
YEARS
937
8866
99
6.457
12.598
MONTHS
MONTHS
MONTHS
MONTHS
MONTHS
366
9437
99
7.888
20.929
Have you worked in any other business or profession of your
Have you worked in any other business or profession of your
Have you worked in any other business or profession of your
Have you worked in any other business or profession of your
Have you worked in any other business or profession of your
946
8857
1
YES
2
NO
9
DK
Sysmiss
In how many other businesses or self-employed professions be
In how many other businesses or self-employed professions be
In how many other businesses or self-employed professions be
In how many other businesses or self-employed professions be
In how many other businesses or self-employed professions be
53
9750
1
99
4.755
18.843
MON
MON
MON
MON
MON
52
9751
99
5.365
19.059
TUE
TUE
TUE
TUE
TUE
52
9751
99
5.942
18.996
WED
WED
WED
WED
WED
52
9751
99
6.077
18.992
THU
THU
THU
THU
THU
52
9751
99
5.962
19.017
FRI
FRI
FRI
FRI
FRI
52
9751
99
5.577
19.029
SAT
SAT
SAT
SAT
SAT
52
9751
99
5.942
19.001
SUN
SUN
SUN
SUN
SUN
52
9751
99
5.769
19.057
In the past 7 days (since last...), have you spent any time
In the past 7 days (since last...), have you spent any time
In the past 7 days (since last...), have you spent any time
In the past 7 days (since last...), have you spent any time
In the past 7 days (since last...), have you spent any time
7801
2002
1
YES
2
NO
9
DK
Sysmiss
How many hours did you spend collecting firewood and fetchin
How many hours did you spend collecting firewood and fetchin
How many hours did you spend collecting firewood and fetchin
How many hours did you spend collecting firewood and fetchin
How many hours did you spend collecting firewood and fetchin
4928
4875
999
6.808
21.118
In the past 7 days (since...) have you had to restrict your
In the past 7 days (since...) have you had to restrict your
In the past 7 days (since...) have you had to restrict your
In the past 7 days (since...) have you had to restrict your
In the past 7 days (since...) have you had to restrict your
7794
2009
1
YES
2
NO
9
DK
Sysmiss
For how many days were your work activities restricted becau
For how many days were your work activities restricted becau
For how many days were your work activities restricted becau
For how many days were your work activities restricted becau
For how many days were your work activities restricted becau
960
8843
1
2
3
4
5
6
7
8
9
Sysmiss
For how many days were you too sick to perform any work in t
For how many days were you too sick to perform any work in t
For how many days were you too sick to perform any work in t
For how many days were you too sick to perform any work in t
For how many days were you too sick to perform any work in t
963
8840
1
2
3
4
5
6
7
9
Sysmiss
In the past 7 days (since last...), have you spent any time
In the past 7 days (since last...), have you spent any time
In the past 7 days (since last...), have you spent any time
In the past 7 days (since last...), have you spent any time
In the past 7 days (since last...), have you spent any time
7790
2013
1
YES
2
NO
9
DK
Sysmiss
How many hours did you spend caring for ill household member
How many hours did you spend caring for ill household member
How many hours did you spend caring for ill household member
How many hours did you spend caring for ill household member
How many hours did you spend caring for ill household member
762
9041
999
11.948
52.763
In the past 7 days (since last...), have you attended the fu
In the past 7 days (since last...), have you attended the fu
In the past 7 days (since last...), have you attended the fu
In the past 7 days (since last...), have you attended the fu
In the past 7 days (since last...), have you attended the fu
7788
2015
1
YES
2
NO
9
DK
Sysmiss
For how many hours were you away from your normal activities
For how many hours were you away from your normal activities
For how many hours were you away from your normal activities
For how many hours were you away from your normal activities
For how many hours were you away from your normal activities
1327
8476
-10
999
9.674
31.709
DESCRIPTION
DESCRIPTION
DESCRIPTION
DESCRIPTION
DESCRIPTION
7728
A GUARD
A NUN
A PUPIL
ACADEMIC OFFICER
ACCOUNTANT
ADMITED
ADVOCATE
AGRICULTURE
AGRUCULTURE SUPEVISOR
ANIMAL KEEPING
ARDHI OFFICE
ARTIST
ASECDO
ASSISTANT MASON
ASSISTANT VERTINARY OFFICER
ATTEND GOATS
AWAY
BAKERY
BANANA FARM
BANANA,BEANS FARM
BANANA,BEANS,CASSAVA FARM
BANANA,CASSAVA FARM
BANANA,CASSAVA,COFFEE FARM
BANANA,CASSAVA,POTATO FARM
BANANA,CASSAVA,SWEET POTATO FARM
BANANA,COCOYAMS FARM
BANANA,COFFEE FARM
BANANA,FARM
BANANA,MAIZE FARM
BANANA,SWEET POTATO FARM
BANANA,SWEET POTATOES FARM
BANANA,TOMATO FARM
BAR ATTENDANT
BAR BUSINESS
BARBER
BEANS,CASSAVA FARM
BEANS,COTTON,MAIZE,RICE FARM
BEANS,MAIZE FARM
BICYCLE REPAIR
BICYCLE RIDING
BLIND
BOAT DRIVER
BODABODA
BRANCH MANAGER
BRICK LAYER
BRIDE
BUREAUCRAT IN THE OFFICE
BUS CONDUCTOR
BUSINESS MAN
BUTCHER
BUY AND SALES CROPS
BUYING & SELLING CHARCOAL
BUYING AND SELLING BANANAS
BUYING AND SELLING CORN
BUYING AND SELLING CROPS
BUYING AND SELLING FISH
BUYING AND SELLING GOATS
BUYING AND SELLING LOCAL BREW
BUYING AND SELLING RICE
BUYING AND SELLING SARDINE
CAFE
CAR MECHANIC
CAR WASHING
CARING MILK COW
CARPENTER
CARRYING LUGGAGES
CASSAVA FARM
CASSAVA,COFFEE FARM
CASSAVA,MAIZE FARM
CASSAVA,POTATO FARM
CASSAVA,SWEET POTATOES FARM
CASUAL WORKER
CATECHIST
CATERING CLEANER
CATTLE KEEPING
CELEMONY DECORATOR
CHANGING MONEY
CHILD
CLEANER
CLEARING SHAMBA
CLERK
COBBLER
COBRA
COFFE BUYING/PROCESS
COFFEE BROKER
COFFEE,SWEET POTATO FARM
COFFEE,TOMATOES FARM
COLLECTING FIREWOOD
COMPUTER INSTRUCTOR
CONSTRUCTION
COOK
COORDINATOR
COTTON FARM
COTTON,MAIZE FARM
COTTON,MAIZE,SWEET POTATOES FARM
COUNSELLOR
CRIPPLED
CUTS AND SALES TIMBER
CUTTING AND SELLING GRASS
CUTTING GRASS
CUTTING TIMBER
DIGGING
DIGGING /WEEDING
DISTRICT EDUCATION OFFICER
DISTRICT OFFICER
DISTRICT TRADE OFFICER
DK
DO NOT WANT
DOESN'T WORK
DON'T WANT TO WORK
DRIVER
Don't know
EDUCATION PROF
ELECTRICIAN
ELECTRONIC TECHNICIAN
EMPLOYED FISHING
EMPLOYMENT TO CHICO
ENVIROMENTAL CLEANER
ENVIRONMENTAL ATTENDANT
EVANGELIST
EYES PROBLEM
FACTORY COORDINATOR
FACTORY DIRECTOR
FACTORY WORKER
FARM CTIVITIES
FARMER
FARMER/WEEDING
FARMING /LIVESTOCK
FARMING,LIVESTOCK
FEEDING BUSSINESS
FETCHING WATER FOR PEOPLE
FETCHING WATER WASHING
FIELD ASSISTANT
FINGER MILLET,MAIZE FARM
FINGER MILLET,SWEET POTATOES FARM
FISH MONGER
FISHERMAN
FISHING SUPERVISION
FOOD STORE-HOTEL
FORBIDEN BY WORK BY HUSBAND
FRIED MEAT AND CHIPS
FRUITS,SWEET POTATOES FARM
GAID
GARAGE
GARDENER
GENGE
GOLD MINING
GOODS TRANSPORTER
GRAZING
GRINDING SPICES
GROUNDNUTS,MAIZE FARM
GROUNDNUTS,SWEET POTATOES FARM
GROWING TREES - TASAF
GUARD
GUEST HOUSE
HAIR DRESSER
HANDICAPPED
HANDICRAFT
HAWKER
HEALING
HEALTH OFFICER
HEALTH WORKER
HELPERON TRUCK
HELPING CRAFTSMAN
HERBALIST
HERDING
HOME ACTIVITIES
HONEYMOON
HOTEL
HOTEL ATTENDANT
HOTEL COORDINATOR
HOUSE KEEPER
HOUSE WIFE
HUSTLING
IN JAIL
INCAPACITED
JOB TRAINING
JWTZ
KIOSK
KNITTING THREAD FOR ANIMALS
LABORATORY ASSISTANT
LABORATORY TECHNICIAN
LEARNING MECHANICS
LITTLE BIT OF FARMING
LIVESTOCK
LOADING STONES
LOCAL BANANA BEER
LORY DRIVER
LUMBERING
M.B
MAIZE FARM
MAIZE,MILLET FARM
MAIZE,SWEET POTATOES FARM
MAKING AND SELLING BRICKS
MAKING BANS
MAKING CLEANLINESS
MAKING DRUM
MAKING FISHING NETS
MAKING LOCAL BREW
MANGER (NMB)
MARKET AGENT
MARRIED SOON
MASON
MAYOR
MECHANIC
MEDICAL RECORDING
MENTAL DISORDER
MERCHANT
METER READER
MILK SUPPLIER
MILLING MACHINE
MILLING MACHINE OPERATOR
MOTORBIKES REPAIR
MOTORCYCLE RIDING
NO ACTIVITY (STUDENT)
NO JOB
NO JOB (RETIRED)
NO JOB (SICK)
NO JOB(STUDENT)
NO WORK EXISTED
NO WORK EXISTS
NURSE
NURSE ASSISTANT
NURSERY TEACHER
NURSING
NURSING AN INCAPACITED MEMBER
OFFICE ATTENDANT
OTHER NON FARM BUSINESS
OWN ILLNESS
PARALYSED
PARKING STONES AND BRICKS
PART TIME TEACHING
PASTOR
PC PROGAMMING&PERSONAL SECR
PEASANT
PHARMACIST
PHOTOGRAPHER
PLAYING FOOTBALL
POLICEMAN
POOL OWNER
PORTER
POST MASTER
POTATOES FARM
POTATOES,SWEET POTATOES FARM
PRISON OFFICER
PROCESSING FISH
PRODUCTION ASSISTANT
PROFESSIONAL COOK
PUBLIC TRANSPORT
PUNCTURE REPAIRER
PUPIL
PURCHASING OFFICER-SAW MILLING
QUARRY WORK
RADIO REPAIR
RESTAURANT
RIDING BICYCLE(ASECDO)
ROAD CLEANER
ROASTING MEAT
RUNNING A BAR
RUNNING KIOSK
SALES
SALES GIRL
SALES METAL
SALES OF GOODS
SALON
SAVING IN HOTEL
SCALE INSPECTOR
SCALE PUSHER
SCHOOLING
SECRETARY
SECURITY GUARD
SEEDING
SELLIING FISH
SELLING ALCOHOL
SELLING AND BUYING CROPS
SELLING BANANAS
SELLING BANANAS,CHARCOAL
SELLING BEANS
SELLING BEER
SELLING BEVERAGES
SELLING BISCUITS
SELLING BITES
SELLING BREAD
SELLING BRICKS
SELLING BUILDING POSTS
SELLING BUNS
SELLING CASH CROPS
SELLING CASSAVA
SELLING CELL PHONES
SELLING CEREALS
SELLING CHARCOAL
SELLING CHICKEN
SELLING CLOTHES
SELLING COFFEE (DRINKS)
SELLING COOKED CASSAVA
SELLING COOKED FOOD
SELLING COOKING OIL
SELLING CORN
SELLING CROPS
SELLING DIESEL
SELLING FIREWOOD
SELLING FISH
SELLING FISH,SUGAR CANE
SELLING FOOD
SELLING FRUITS
SELLING FUEL
SELLING GOODS IN KIOSK
SELLING IN THE MARKET
SELLING ITEMS
SELLING LOCAL BREW
SELLING MEAT
SELLING MILK
SELLING MILK PRODUCTS
SELLING MINERALS
SELLING MOTOR OILS
SELLING PALM OIL
SELLING PAN CAKE
SELLING PANCAKES
SELLING PESTICIDES
SELLING POLYBAGS
SELLING RADIOCASSETE COMPACT
SELLING RAW FOODS
SELLING RICE
SELLING RICE/MAIZE
SELLING RICE/MAIZE/BEANS
SELLING RUBISI
SELLING SAND
SELLING SARDINES
SELLING SECOND HAND CLOTHES
SELLING SECONDHAND CLOTHES
SELLING STATIONARIES
SELLING STATIONARY
SELLING STONE CRACKING
SELLING TEA/BANS
SELLING TIMBER
SELLING USED SPARE PARTS
SELLING USED SPAREPARTS
SELLING VEGETABLES
SELLING VITENGE/SARDINE
SELLING WEAVING MATERIALS
SELLING WOMEN'S WEAR
SERVANT
SHAMBA ACTIVITIES
SHOP
SHOP KEEPER
SKILLED TRADE
SMALL SCALE BUSINESS
SOCIAL SERVICES
SOLDIER
SOWING BEANS
STADIUM ATENDANT
STALL HOLDER
STONE BRACKING
STONE COLLECTING
STUDENT
SUPERVISING SHAMBA WORK
SWEET POTATOES FARM
TAILOR
TAILORING SCHOOLING
TAKING CARE OF FLOCKS
TAXI DRIVER
TEACHER
TECHNICIAN
TENDING BANANA/SEASONAL CROPS
TENDING CROPS
TENDING FARM
TENDING SHAMBA
TENDING SHAMBA/KEEPING CATTLE
TILLING THE LAND
TIMBER COLLECTION
TIMBER CUTTING
TIMBER WORK
TO CARE LIVESTOCK
TO CARRY CARGOES
TOMATO SUPPLYING
TOMATOES FARM
TON-BOY
TOO OLD
TOO YOUNG
TOUT
TRADER
TRADING FISH
TRADING SEASONAL CROPS
TRADITIONAL HEALER
TRAFFIC POLICE
TRANSPORTATION
TURN-BOY
UNKNOWN
VACATION
VEO-MARUKU
VERY POOR SIGHTING
VIDEO SHOW
VILLAGE CHAIRMAN
VILLAGE EXECUTIVE OFFICER
VOCATIONAL TRAINING
WAITER
WAITING FOR EMPLOYMENT
WARD EXECUTIVE OFFICER
WARD POLITICAL LEADER CCM
WASHING CLOTHES ( CASUAL )
WATCH AND RADIO REPAIR
WATCHMAN
WATER
WATER VENDOR
WEAVING
WEDDING
WEEDING
WEEDING/LIVESTOCK KEEPING
WEEDING/PLANTING
WELDING
WELDING AND BATTERY CHARGING
WHOLE SALE AND RETAIL TRADE
WITCH DOCTOR
WORK DONE BY HIS BROTHER
WORKING IN A PETROL STATION
WORKING IN GARAGE
WORKSHOP
WORLD VISION/PROJECT CHAIRMAN
`
builder
carpenter
cultivating maize/beans
farming
fishing
mason
no activity
own illness
student
too young
CODE
CODE
CODE
CODE
CODE
7759
2044
1
FARMING
2
FISHING
3
TRADER/MERCHANT/SALES
4
TRANSPORT
5
CONSTRUCTION
6
EDUCATION PROFESSIONAL/ADMIN
7
HEALTH PROFESSIONAL/ADMIN
8
OTHER PROFESIONNAL/ADMIN
9
SECRETARY/CLERICAL
10
FACTORY WORKER
11
RESTAURANT, BAR OR HOTEL
12
SKILLED TRADE
13
NO ACTIVITY OR JOB
14
OTHER (SPECIFY)
99
DK
Sysmiss
INTERVIEWER: IS THIS THE SAME WORK AS A JOB OR ACTIVITY CITE
INTERVIEWER: IS THIS THE SAME WORK AS A JOB OR ACTIVITY CITE
INTERVIEWER: IS THIS THE SAME WORK AS A JOB OR ACTIVITY CITE
INTERVIEWER: IS THIS THE SAME WORK AS A JOB OR ACTIVITY CITE
INTERVIEWER: IS THIS THE SAME WORK AS A JOB OR ACTIVITY CITE
5027
4776
1
YES, ALREADY DESCRIBED (>PART G)
2
NO, DIFFERENT WORK
9
DK
Sysmiss
Is this work were you working for family farm, working for o
Is this work were you working for family farm, working for o
Is this work were you working for family farm, working for o
Is this work were you working for family farm, working for o
Is this work were you working for family farm, working for o
732
9071
1
SELF-EMPLOYED FARMER OR WORKING ON FAMILY FARM (>PART G)
2
SELF-EMPLOYED IN BUSINESS OR WORKING IN FAMILY BUSINESS (>PART G)
3
WORKED AS AN EMPLOYEE, FOR SOMEONE ELSE
9
DK
Sysmiss
For whom did you work? That is, did you work for:
For whom did you work? That is, did you work for:
For whom did you work? That is, did you work for:
For whom did you work? That is, did you work for:
For whom did you work? That is, did you work for:
116
9687
1
THE GOVERNMENT?
2
A STATE-OWNED COMPANY?
3
A PRIVATE BUSINESS OR FIRM?
4
COOPERATIVE UNIONS?
5
RELIGIOUS INSTITUTIONS?
6
OTHER (SPECIFY)?
9
DK
Sysmiss
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
14
ANYWHERE TO BE FOUND
CASUAL LABOUR
CONSTRUCTION OF HOUSE
HOME SHAMBA
HOUSE GIRL
MASON
PARENTS
PRIVATE
PRIVATE EMPLOYER
PRIVATE EMPLOYMENT
PRIVATE PERSON
SELF EMPLOYER
Do you receive a salary for this work?
Do you receive a salary for this work?
Do you receive a salary for this work?
Do you receive a salary for this work?
Do you receive a salary for this work?
116
9687
1
YES
2
NO
9
DK
Sysmiss
AMOUNT
AMOUNT
AMOUNT
AMOUNT
AMOUNT
99
9704
9
999999999999
70707087569.212
257639406863.638
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
99
9704
1
YES
2
NO
3
4
5
6
9
DK
Sysmiss
For how many ...[REFER TO TIME UNIT IN QUESTION 6]... did yo
For how many ...[REFER TO TIME UNIT IN QUESTION 6]... did yo
For how many ...[REFER TO TIME UNIT IN QUESTION 6]... did yo
For how many ...[REFER TO TIME UNIT IN QUESTION 6]... did yo
For how many ...[REFER TO TIME UNIT IN QUESTION 6]... did yo
99
9704
2
999
104.545
222.976
Did you or will you receive commissions, tips, per diem allo
Did you or will you receive commissions, tips, per diem allo
Did you or will you receive commissions, tips, per diem allo
Did you or will you receive commissions, tips, per diem allo
Did you or will you receive commissions, tips, per diem allo
116
9687
1
YES
2
NO
9
DK
Sysmiss
AMOUNT
AMOUNT
AMOUNT
AMOUNT
AMOUNT
14
9789
300
565600
47864.286
149384.849
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
14
9789
1
YES
2
NO
3
4
5
6
9
DK
Sysmiss
Will you receive a retirement pension for this work?
Will you receive a retirement pension for this work?
Will you receive a retirement pension for this work?
Will you receive a retirement pension for this work?
Will you receive a retirement pension for this work?
116
9687
1
YES
2
NO
9
DK
Sysmiss
Is the respondent 15 or older?
Is the respondent 15 or older?
Is the respondent 15 or older?
Is the respondent 15 or older?
Is the respondent 15 or older?
7786
2017
1
YES
2
NO
7
9
DK
Sysmiss
Pension or retirement fund?
Pension or retirement fund?
Pension or retirement fund?
Pension or retirement fund?
Pension or retirement fund?
5856
3947
1
YES
2
NO
9
DK
Sysmiss
How much have you received in the past 12 months from the pe
How much have you received in the past 12 months from the pe
How much have you received in the past 12 months from the pe
How much have you received in the past 12 months from the pe
How much have you received in the past 12 months from the pe
11
9792
161000
999999999999
90910716330.818
301510805518.23
Employment insurance, medical insurance or life insurance?
Employment insurance, medical insurance or life insurance?
Employment insurance, medical insurance or life insurance?
Employment insurance, medical insurance or life insurance?
Employment insurance, medical insurance or life insurance?
5856
3947
1
YES
2
NO
9
DK
Sysmiss
How much have you received in the past 12 months from employ
How much have you received in the past 12 months from employ
How much have you received in the past 12 months from employ
How much have you received in the past 12 months from employ
How much have you received in the past 12 months from employ
41
9762
999999999999
170731719711.781
380948745740.178
Interest on savings, credit union, or other bank accounts?
Interest on savings, credit union, or other bank accounts?
Interest on savings, credit union, or other bank accounts?
Interest on savings, credit union, or other bank accounts?
Interest on savings, credit union, or other bank accounts?
5847
3956
1
YES
2
NO
9
DK
Sysmiss
How much have you received in the past 12 months from intere
How much have you received in the past 12 months from intere
How much have you received in the past 12 months from intere
How much have you received in the past 12 months from intere
How much have you received in the past 12 months from intere
51
9752
2300
999999999999
411764785436.843
497050054524.574
Lottery winnings or games of chance?
Lottery winnings or games of chance?
Lottery winnings or games of chance?
Lottery winnings or games of chance?
Lottery winnings or games of chance?
5847
3956
1
YES
2
NO
9
DK
Sysmiss
How much have you received in the past 12 months from lotter
How much have you received in the past 12 months from lotter
How much have you received in the past 12 months from lotter
How much have you received in the past 12 months from lotter
How much have you received in the past 12 months from lotter
3
9800
800
1500
1100
360.555
Dowry? IN CASH OR IN KIND?
Dowry? IN CASH OR IN KIND?
Dowry? IN CASH OR IN KIND?
Dowry? IN CASH OR IN KIND?
Dowry? IN CASH OR IN KIND?
5848
3955
1
YES
2
NO
9
DK
Sysmiss
How much have you received in the past 12 months from dowrie
How much have you received in the past 12 months from dowrie
How much have you received in the past 12 months from dowrie
How much have you received in the past 12 months from dowrie
How much have you received in the past 12 months from dowrie
71
9732
200
999999999999
14084535416.887
118678162403.716
Inheritance?
Inheritance?
Inheritance?
Inheritance?
Inheritance?
5848
3955
1
YES
2
NO
9
DK
Sysmiss
How much have you received in the past 12 months from inheri
How much have you received in the past 12 months from inheri
How much have you received in the past 12 months from inheri
How much have you received in the past 12 months from inheri
How much have you received in the past 12 months from inheri
88
9715
100
999999999999
34091200785.193
182502575090.855
Income from sale of durable goods, such as cars, radios, bic
Income from sale of durable goods, such as cars, radios, bic
Income from sale of durable goods, such as cars, radios, bic
Income from sale of durable goods, such as cars, radios, bic
Income from sale of durable goods, such as cars, radios, bic
5848
3955
1
YES
2
NO
9
DK
Sysmiss
How much have you received in the past 12 months from income
How much have you received in the past 12 months from income
How much have you received in the past 12 months from income
How much have you received in the past 12 months from income
How much have you received in the past 12 months from income
143
9660
2000
999999999999
6993101566.427
83624193037.882
Other income sources, such as sale of house or shamba? IN CA
Other income sources, such as sale of house or shamba? IN CA
Other income sources, such as sale of house or shamba? IN CA
Other income sources, such as sale of house or shamba? IN CA
Other income sources, such as sale of house or shamba? IN CA
5848
3955
1
YES
2
NO
9
DK
Sysmiss
How much have you received in the past 12 months from other
How much have you received in the past 12 months from other
How much have you received in the past 12 months from other
How much have you received in the past 12 months from other
How much have you received in the past 12 months from other
35
9768
2
1500000
132228.629
264792.018
9803
49
130
102.686
16.971
12772
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
12772
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
18
19
20
21
22
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
8588
4184
1
Sysmiss
Khangas or vitenges?
Khangas or vitenges?
Khangas or vitenges?
Khangas or vitenges?
Khangas or vitenges?
12772
1
YES
2
NO
9
DK
AMOUNT
AMOUNT
AMOUNT
AMOUNT
AMOUNT
2845
9927
1
999999999999
6678392037.024
81462351804.996
Fabric or cloth?
Fabric or cloth?
Fabric or cloth?
Fabric or cloth?
Fabric or cloth?
12768
4
1
YES
2
NO
9
DK
Sysmiss
AMOUNT
AMOUNT
AMOUNT
AMOUNT
AMOUNT
1459
11313
100
999999999999
6244012196.931
78362952820.229
Other clothing and footwear e.g. shirts, pants, dresses, sho
Other clothing and footwear e.g. shirts, pants, dresses, sho
Other clothing and footwear e.g. shirts, pants, dresses, sho
Other clothing and footwear e.g. shirts, pants, dresses, sho
Other clothing and footwear e.g. shirts, pants, dresses, sho
12768
4
1
YES
2
NO
9
DK
Sysmiss
AMOUNT
AMOUNT
AMOUNT
AMOUNT
AMOUNT
10321
2451
50
999999999999
3972493587.921
62905373241.105
Medicines, other services and transportation for health care
Medicines, other services and transportation for health care
Medicines, other services and transportation for health care
Medicines, other services and transportation for health care
Medicines, other services and transportation for health care
12768
4
1
YES
2
NO
9
DK
Sysmiss
AMOUNT
AMOUNT
AMOUNT
AMOUNT
AMOUNT
8568
4204
999999999999
4785253628.911
69013800609.547
Food consumed outside the home (at restaurants, bars and bou
Food consumed outside the home (at restaurants, bars and bou
Food consumed outside the home (at restaurants, bars and bou
Food consumed outside the home (at restaurants, bars and bou
Food consumed outside the home (at restaurants, bars and bou
12766
6
1
YES
2
NO
9
DK
Sysmiss
AMOUNT
AMOUNT
AMOUNT
AMOUNT
AMOUNT
1076
11696
50
999999999999
19609669043.319
138417084260.917
Beverages consumed outside home?
Beverages consumed outside home?
Beverages consumed outside home?
Beverages consumed outside home?
Beverages consumed outside home?
12766
6
1
YES
2
NO
9
DK
Sysmiss
AMOUNT
AMOUNT
AMOUNT
AMOUNT
AMOUNT
2598
10174
40
999999999999
9237877393.717
95687309414.031
Cigarettes, tobacco?
Cigarettes, tobacco?
Cigarettes, tobacco?
Cigarettes, tobacco?
Cigarettes, tobacco?
12766
6
1
YES
2
NO
9
DK
Sysmiss
AMOUNT
AMOUNT
AMOUNT
AMOUNT
AMOUNT
848
11924
20
999999999999
10613208859.058
102532749445.756
Gambling, games of chance, lottery tickets?
Gambling, games of chance, lottery tickets?
Gambling, games of chance, lottery tickets?
Gambling, games of chance, lottery tickets?
Gambling, games of chance, lottery tickets?
12766
6
1
YES
2
NO
9
DK
Sysmiss
AMOUNT
AMOUNT
AMOUNT
AMOUNT
AMOUNT
9
12763
100
999999999999
111111111773.222
333333333084.667
Sporting events, cinema, contribution to clubs, etc.?
Sporting events, cinema, contribution to clubs, etc.?
Sporting events, cinema, contribution to clubs, etc.?
Sporting events, cinema, contribution to clubs, etc.?
Sporting events, cinema, contribution to clubs, etc.?
12762
10
1
YES
2
NO
9
DK
Sysmiss
AMOUNT
AMOUNT
AMOUNT
AMOUNT
AMOUNT
349
12423
50
999999999999
8595989465.321
92447748970.471
Cosmetics, lotions, perfume, body lotions?
Cosmetics, lotions, perfume, body lotions?
Cosmetics, lotions, perfume, body lotions?
Cosmetics, lotions, perfume, body lotions?
Cosmetics, lotions, perfume, body lotions?
12762
10
1
YES
2
NO
9
DK
Sysmiss
AMOUNT
AMOUNT
AMOUNT
AMOUNT
AMOUNT
2257
10515
50
999999999999
1772265080.681
42070266574.114
8546
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
8546
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
18
19
20
21
22
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
4537
4009
1
Sysmiss
Is this person a previous household member (check household
Is this person a previous household member (check household
Is this person a previous household member (check household
Is this person a previous household member (check household
Is this person a previous household member (check household
8546
1
YES
2
NO
9
DK
When did you move away from the homestead you were living in
When did you move away from the homestead you were living in
When did you move away from the homestead you were living in
When did you move away from the homestead you were living in
When did you move away from the homestead you were living in
2357
6189
1947
9999
2034.957
545.467
Why did you move from original homestead?
Why did you move from original homestead?
Why did you move from original homestead?
Why did you move from original homestead?
Why did you move from original homestead?
2355
6191
1
FOUND WORK
2
TO LOOK FOR WORK
3
POSTED ON A JOB
4
LOOKING FOR LAND
5
SCHOOLING
6
MARRIAGE
7
DIVORCE
8
PARENTS DIED
9
TO CARE FOR A SICK PERSON
10
TO SEEK MEDICAL TREATMENT
11
FOLLOWING INHERITANCE
12
OTHER FAMILY PROBLEMS
13
OTHER (SPECIFY)
16
99
DK
Sysmiss
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
512
ACCOMPANY GRANDMOTHER
AFTER BEING MENTALY DISTARBED
AFTER RESIDING
ASSIST AUNT
ASSIST BROTHER
ASSIST GRANDPARENTS
ASSIST MOTHER
ASSIST RELATIVE
ASSIST SISTER
ASSIST UNCLE
BACK HOME
BACK TO HIS FATHER
BACK TO MY HUSBAND
BAD CARE
BETTER HOUSE
BROTHER DIED
BUILT OWN HOUSE
BUSINESS
CAME TO NEW DWELLING
CAME TO NEW HOUSE
CARE OF HIS HOME
CHANGE ENVIRONMENT
CHILDREN DIED
COMPLETED SECONDARY EDUCATION
COURTSHIP
DEATH
DEATH OF FAMILY MEMBERS
DEATH OF GRANDMOTHER
DEATH OF HUSBAND
DEATH OF MOTHER
DUE TO FAMILY EXPANSION
EVICTION FROM THE FAMILY
FAILED TO REPRODUCE
FAMILY EXPANDED
FINDING LIFE
FOLLOW AUNT
FOLLOW BROTHER
FOLLOW GRANDPARENTS
FOLLOW GUARDIANS
FOLLOW HUSBAND
FOLLOW PARENTS
FOLLOW REALTIVES
FOLLOW RELATIVES
FOLLOW SISTER
FOLLOW SPOUSE
FOLLOW UNCLE
FOLLOW WIFE
FOLLOWED HER FAMILY
FOLLOWED RELATIVES
FOLLOWING CARE
FOLLOWING CHILDREN
FOLLOWING HER CHILD
FOLLOWING HIS LAND FOR SETTLEM
FOLLOWING LIFE
GAURDIAN'S DEATH
GOT A NEW DWELLING
GOT HELP FROM SAMARITAN
GOT NEW DWELLING
GOT PREGNANT AND FORCED TO SHI
GRANNY'S CARE
HELPING GRANDMOTHER
HER GRAND MOM DIED
HOUSE COLLAPSED
HOUSE GIRL
HUSBAND DIED
INDEPENDENT
ISOLATED BY HIS STEP MOTHER
JAIL
JUST SHIFTED
JUST TO STAY WITH AUNT
LIVE NEAR WITH PEOPLE
LOOK FOR BUSSINESS
LOOKING FOR HOUSE
LOOKING FOR LIFE
LOOKING FOR NEW SETTLEMENT
LOOKING FOR THE SUPPORT
LOOKING FOR TREATMENT
NEAR BUSINESS CENTRE
NEW DWELLING
NEW FAMILY
NEW SETTLEMENT
PARENTS SEPARATED
POLYGAMIST
QUARRREL
RETIRED
RETURNED HOME
SECURITY
SEEKING ASSISTANCE FOR SCHOOL
SEEKING HELP
SELF RELIANCE
SEPARATING FAMILY
SHE CAME TO VISIT HER AUNT
SHE MOVED BACK TO HER PARENTS
START HIS OWN LIFE
START LIFE
STARTED A LITTLE BUSINESS
STARTED LIVING INDEPENDENTLY
STARTING NEW SETTLEMENT
STAY WITH RELATIVES
STOPPED BREAST FEEDING
TAKE CARE OF HER GRANDMOTHER
TAKEN BY HER MOTHER
TAKING CARE OF SONS PROPERTY
THEFT
TO BE CARED
TO BE INDEPENDANT
TO BE INDEPENDENT
TO BE NEAR SOCIAL SERVICES
TO BE NEARBY HER WORKING PLACE
TO BE SELF DEPENDANT
TO BE TAKEN CARE
TO CAMPANY HIS GRANDMOTHER
TO CARE HER SISTER'S CHILDREN
TO CARE INFANTS
TO CARE MY SON AND DAUGHTER
TO CHANGE ENVIRONMENT
TO COMMENCE MY LIFE
TO DO BUSINESS
TO ESTABLISH HIS NEW SETTLEMEN
TO GET ASSISTANCE
TO HAVE ASSISTANCE
TO HELP OTHERS
TO JOIN BROTHERLY MEMBER
TO KEEP CLAN PROPERY
TO LIVE WITH MY BROTHER
TO LIVE ALONE
TO LOOK FOR BETTER LIFE
TO LOOK FOR BUSINESS AREA
TO LOOK FOR PERSON SETTLEMENT
TO LOOK FOR SAFETY
TO SEEK ASSISTANCE
TO SETTLE NEIGHBOURING PROBLEM
TO START BUSINESS
TO START SCHOOLING
TO STAY IN HER HOUSE
TO STAY IN OUR HOUSE
TO VISIT HIS RELATIVES
TO VIST HER AUNT
TURN BACK HOME
VISITING
VISITING CHILDREN
VISITING RELATIVES
WANTED TO START HIS OWN LIFE
WITCHCRAFT
YEARS
YEARS
YEARS
YEARS
YEARS
2351
6195
99
5.721
8.342
MONTHS
MONTHS
MONTHS
MONTHS
MONTHS
691
7855
99
9.86
22.63
What was the total value of all cash you took with you when
What was the total value of all cash you took with you when
What was the total value of all cash you took with you when
What was the total value of all cash you took with you when
What was the total value of all cash you took with you when
2355
6191
999999999999
14437377805.12
119310410277.742
Think of all the assets (land, equipment, furniture, clothin
Think of all the assets (land, equipment, furniture, clothin
Think of all the assets (land, equipment, furniture, clothin
Think of all the assets (land, equipment, furniture, clothin
Think of all the assets (land, equipment, furniture, clothin
2348
6198
999999999999
14054551101.585
117740766941.138
KHDS1991-94 CLUSTER
KHDS1991-94 CLUSTER
KHDS1991-94 CLUSTER
KHDS1991-94 CLUSTER
KHDS1991-94 CLUSTER
8546
1
51
25.154
14.778
KHDS1991-94 HH CODE IN CLUSTER
KHDS1991-94 HH CODE IN CLUSTER
KHDS1991-94 HH CODE IN CLUSTER
KHDS1991-94 HH CODE IN CLUSTER
KHDS1991-94 HH CODE IN CLUSTER
8546
1
44
10.454
6.57
3218
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
3218
01
02
03
04
05
06
07
08
09
10
11
12
13
15
19
21
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
2333
885
1
Sysmiss
What type of year was 1994?
What type of year was 1994?
What type of year was 1994?
What type of year was 1994?
What type of year was 1994?
3196
22
1
YEAR THAT WAS PREDOMINANTLY VERY GOOD
2
YEAR THAT WAS PREDOMINANTLY GOOD
3
YEAR THAT WAS PREDOMINANTLY AVERAGE/NORMAL
4
YEAR THAT WAS PREDOMINANTLY BAD
5
YEAR THAT WAS PREDOMINANTLY VERY BAD
9
DK
Sysmiss
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
86
3132
1
HIGH CROP PRICES: high income due to high prices from crops myself and/or household I was living in
2
BUMPER HARVEST: high income due to high output from agricultural crops by myself and/or household I was living in
3
LIVESTOCK: high income due to extra income from livestock by myself and/or household I was living in
4
WAGE EMPLOYMENT: high income due to wage employment by myself and/or household I was living in
5
OFF-FARM EMPLOYMENT: high income due to off-farm employment by myself and/or household I was living in
6
REMITTANCES: high income due to high transfers or remittances from individuals
7
GIFTS AND SUPPORT BY ORGANISATIONS: high income due to support by development organisations
8
RETURNS TO OTHER ASSETS: high income from assets (e.g. house rental, vehicle rental, land rental, asset sale prices)
9
NEW ASSETS: inheritance, other asset gifts
10
OTHER (SPECIFY)
99
DK
Sysmiss
specify
specify
specify
specify
specify
10
BOOM PERIOD
BRIDE
GOT EVERY NEEDS FROM PARE
GOT MARRIED
HE WAS WITH HIS PARENT
HIGH PROFIT FROM BUSINESS
HONEY MOON
NO ECOMOMIC PROBLEM
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
144
3074
1
LOW CROP PRICES: low income due to low prices from crops myself and/or household I was living in
2
POOR HARVEST (WEATHER): low income due to poor harvest from agricultural crops due to weather conditions
3
POOR HARVEST(OTHER): low income due to poor harvest from agricultural crops due to pests and other non weather related circumstances
4
LIVESTOCK: low income due to loss of livestock due to death or low income from livestock due to weather, disease
5
WAGE EMPLOYMENT: low income due to loss of job and/or period of unemployment
6
OFF-FARM EMPLOYMENT: low income due to collapse of business, or low income from continuing business activities
7
REMITTANCES: low income due to lower transfers or remittances from individuals
8
GIFTS AND SUPPORT BY ORGANISATIONS: low income due to withdrawal of support by development organisations
9
EVICTION/RESETTLEMENT: loss of house and livelihood due to eviction, resettlement, forced migration
10
DEATH OF FAMILY MEMBER: low income or asset losses linked to a death, due to illness or other causes
11
SERIOUS ILLNESS: low income or asset losses linked to serious illness (even if leading to death, but most hardship during illness)
12
LOSS OF ASSETS: due to crime, violence, theft, etc
13
OTHER (SPECIFY)
99
DK
Sysmiss
specify
specify
specify
specify
specify
19
BIG FAMILY
CHILD BIRTH COMPLICATION
CONFLICT WITH HUSBAND
DEVORCE
DIVORCE
HAD NOTHING RELATED LIFE
HIGH PRICE OF COMMODITIES
INFLOW OF REFUGEES
JAILED
MARRIAGE PLOBLEMS
NO JOB
NO MONEY
POLYGAMIC MARRIAGE
PRISONED
REFUGEES
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
144
3074
1
REDUCED CONSUMPTION
2
SOLD LIVESTOCK
3
SOLD LAND
4
SOLD OTHER ASSETS
5
STARTED SELLING PROCESSED FOOD (INCL BEER)
6
STARTED OTHER BUSINESS
7
TOOK CASUAL EMPLOYMENT (KIBARUA)
8
TOOK OFF-FARM WAGE EMPLOYMENT
9
INTRODUCED OTHER CROPS
10
RELIED ON SUPPORT FROM ORGANISATIONS
11
RELIED ON SUPPORT FROM FAMILY AND FRIENDS
12
MIGRATED TO WORK ELSEWHERE (FISHING)
13
MIGRATED TO WORK ELSEWHERE (OTHER)
14
TOOK CHILDREN FROM SCHOOL
15
MIGRATED TO LIVE WITH RELATIVES OR FRIENDS
16
OTHER (SPECIFY)
99
DK
Sysmiss
specifyA
specifyA
specifyA
specifyA
specifyA
7
NONE
OPERATED
SETTLED THEM
SPENDS WHAT HE OBTAINED
SPENDS WHAT SHE OBTAINED
STARTED WORKING HARDLY
TO SUPPORT FAMILY MEMBERS
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
88
3130
1
REDUCED CONSUMPTION
2
SOLD LIVESTOCK
3
SOLD LAND
4
SOLD OTHER ASSETS
5
STARTED SELLING PROCESSED FOOD (INCL BEER)
6
STARTED OTHER BUSINESS
7
TOOK CASUAL EMPLOYMENT (KIBARUA)
8
TOOK OFF-FARM WAGE EMPLOYMENT
9
INTRODUCED OTHER CROPS
10
RELIED ON SUPPORT FROM ORGANISATIONS
11
RELIED ON SUPPORT FROM FAMILY AND FRIENDS
12
MIGRATED TO WORK ELSEWHERE (FISHING)
13
MIGRATED TO WORK ELSEWHERE (OTHER)
14
TOOK CHILDREN FROM SCHOOL
15
MIGRATED TO LIVE WITH RELATIVES OR FRIENDS
16
OTHER (SPECIFY)
99
DK
Sysmiss
specifyB
specifyB
specifyB
specifyB
specifyB
2
STOPPED SCHOOLING
What type of year was 1995?
What type of year was 1995?
What type of year was 1995?
What type of year was 1995?
What type of year was 1995?
3196
22
1
YEAR THAT WAS PREDOMINANTLY VERY GOOD
2
YEAR THAT WAS PREDOMINANTLY GOOD
3
YEAR THAT WAS PREDOMINANTLY AVERAGE/NORMAL
4
YEAR THAT WAS PREDOMINANTLY BAD
5
YEAR THAT WAS PREDOMINANTLY VERY BAD
9
DK
Sysmiss
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
66
3152
1
HIGH CROP PRICES: high income due to high prices from crops myself and/or household I was living in
2
BUMPER HARVEST: high income due to high output from agricultural crops by myself and/or household I was living in
3
LIVESTOCK: high income due to extra income from livestock by myself and/or household I was living in
4
WAGE EMPLOYMENT: high income due to wage employment by myself and/or household I was living in
5
OFF-FARM EMPLOYMENT: high income due to off-farm employment by myself and/or household I was living in
6
REMITTANCES: high income due to high transfers or remittances from individuals
7
GIFTS AND SUPPORT BY ORGANISATIONS: high income due to support by development organisations
8
RETURNS TO OTHER ASSETS: high income from assets (e.g. house rental, vehicle rental, land rental, asset sale prices)
9
NEW ASSETS: inheritance, other asset gifts
10
OTHER (SPECIFY)
99
DK
Sysmiss
specify
specify
specify
specify
specify
4
BRIDE
GOT A CHILD
HIGH PROFIT FROM BUSINESS
MARRIED
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
139
3079
1
LOW CROP PRICES: low income due to low prices from crops myself and/or household I was living in
2
POOR HARVEST (WEATHER): low income due to poor harvest from agricultural crops due to weather conditions
3
POOR HARVEST(OTHER): low income due to poor harvest from agricultural crops due to pests and other non weather related circumstances
4
LIVESTOCK: low income due to loss of livestock due to death or low income from livestock due to weather, disease
5
WAGE EMPLOYMENT: low income due to loss of job and/or period of unemployment
6
OFF-FARM EMPLOYMENT: low income due to collapse of business, or low income from continuing business activities
7
REMITTANCES: low income due to lower transfers or remittances from individuals
8
GIFTS AND SUPPORT BY ORGANISATIONS: low income due to withdrawal of support by development organisations
9
EVICTION/RESETTLEMENT: loss of house and livelihood due to eviction, resettlement, forced migration
10
DEATH OF FAMILY MEMBER: low income or asset losses linked to a death, due to illness or other causes
11
SERIOUS ILLNESS: low income or asset losses linked to serious illness (even if leading to death, but most hardship during illness)
12
LOSS OF ASSETS: due to crime, violence, theft, etc
13
OTHER (SPECIFY)
99
DK
Sysmiss
specify
specify
specify
specify
specify
13
BAD CARE
BIG FAMILY
CONFLICT WITH HUSBAND
DEATH OF PARENT
DIVORCE
IN PRISON
JAILED
MARRIAGE
NO JOB
PRISON
WANTED TO KILL HERSELF
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
139
3079
1
REDUCED CONSUMPTION
2
SOLD LIVESTOCK
3
SOLD LAND
4
SOLD OTHER ASSETS
5
STARTED SELLING PROCESSED FOOD (INCL BEER)
6
STARTED OTHER BUSINESS
7
TOOK CASUAL EMPLOYMENT (KIBARUA)
8
TOOK OFF-FARM WAGE EMPLOYMENT
9
INTRODUCED OTHER CROPS
10
RELIED ON SUPPORT FROM ORGANISATIONS
11
RELIED ON SUPPORT FROM FAMILY AND FRIENDS
12
MIGRATED TO WORK ELSEWHERE (FISHING)
13
MIGRATED TO WORK ELSEWHERE (OTHER)
14
TOOK CHILDREN FROM SCHOOL
15
MIGRATED TO LIVE WITH RELATIVES OR FRIENDS
16
OTHER (SPECIFY)
99
DK
Sysmiss
specifyA
specifyA
specifyA
specifyA
specifyA
6
LEFT SCHOOL
NONE
SPENDS WHAT HE OBTAINED
SPENDS WHAT SHE OBTAINED
STAY WITH HER CHILDREN
WENT TO WITCHCRAFT
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
82
3136
1
REDUCED CONSUMPTION
2
SOLD LIVESTOCK
3
SOLD LAND
4
SOLD OTHER ASSETS
5
STARTED SELLING PROCESSED FOOD (INCL BEER)
6
STARTED OTHER BUSINESS
7
TOOK CASUAL EMPLOYMENT (KIBARUA)
8
TOOK OFF-FARM WAGE EMPLOYMENT
9
INTRODUCED OTHER CROPS
10
RELIED ON SUPPORT FROM ORGANISATIONS
11
RELIED ON SUPPORT FROM FAMILY AND FRIENDS
12
MIGRATED TO WORK ELSEWHERE (FISHING)
13
MIGRATED TO WORK ELSEWHERE (OTHER)
14
TOOK CHILDREN FROM SCHOOL
15
MIGRATED TO LIVE WITH RELATIVES OR FRIENDS
16
OTHER (SPECIFY)
99
DK
Sysmiss
specifyB
specifyB
specifyB
specifyB
specifyB
1
WENT TO WITCHCRAFT
What type of year was 1996?
What type of year was 1996?
What type of year was 1996?
What type of year was 1996?
What type of year was 1996?
3196
22
1
YEAR THAT WAS PREDOMINANTLY VERY GOOD
2
YEAR THAT WAS PREDOMINANTLY GOOD
3
YEAR THAT WAS PREDOMINANTLY AVERAGE/NORMAL
4
YEAR THAT WAS PREDOMINANTLY BAD
5
YEAR THAT WAS PREDOMINANTLY VERY BAD
9
DK
Sysmiss
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
54
3164
1
HIGH CROP PRICES: high income due to high prices from crops myself and/or household I was living in
2
BUMPER HARVEST: high income due to high output from agricultural crops by myself and/or household I was living in
3
LIVESTOCK: high income due to extra income from livestock by myself and/or household I was living in
4
WAGE EMPLOYMENT: high income due to wage employment by myself and/or household I was living in
5
OFF-FARM EMPLOYMENT: high income due to off-farm employment by myself and/or household I was living in
6
REMITTANCES: high income due to high transfers or remittances from individuals
7
GIFTS AND SUPPORT BY ORGANISATIONS: high income due to support by development organisations
8
RETURNS TO OTHER ASSETS: high income from assets (e.g. house rental, vehicle rental, land rental, asset sale prices)
9
NEW ASSETS: inheritance, other asset gifts
10
OTHER (SPECIFY)
13
99
DK
Sysmiss
specify
specify
specify
specify
specify
9
A LOT OF PERESENTS
BRIDE
BRIDE PRICE
FINISHED SCHOOL
HIGH PROFIT FROM BUSINESS
HUSBAND'S PENSION
PAID GRATUITE
SHE WAS NOT SICK
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
138
3080
1
LOW CROP PRICES: low income due to low prices from crops myself and/or household I was living in
2
POOR HARVEST (WEATHER): low income due to poor harvest from agricultural crops due to weather conditions
3
POOR HARVEST(OTHER): low income due to poor harvest from agricultural crops due to pests and other non weather related circumstances
4
LIVESTOCK: low income due to loss of livestock due to death or low income from livestock due to weather, disease
5
WAGE EMPLOYMENT: low income due to loss of job and/or period of unemployment
6
OFF-FARM EMPLOYMENT: low income due to collapse of business, or low income from continuing business activities
7
REMITTANCES: low income due to lower transfers or remittances from individuals
8
GIFTS AND SUPPORT BY ORGANISATIONS: low income due to withdrawal of support by development organisations
9
EVICTION/RESETTLEMENT: loss of house and livelihood due to eviction, resettlement, forced migration
10
DEATH OF FAMILY MEMBER: low income or asset losses linked to a death, due to illness or other causes
11
SERIOUS ILLNESS: low income or asset losses linked to serious illness (even if leading to death, but most hardship during illness)
12
LOSS OF ASSETS: due to crime, violence, theft, etc
13
OTHER (SPECIFY)
99
DK
Sysmiss
specify
specify
specify
specify
specify
11
BIG FAMILY
FAMILY PROBLEM FINES
HAD ALOT OF CASES
JAILED
LOW INCOME
MARRIAGE
NO JOB
PRISON
STARTED LIFE
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
138
3080
1
REDUCED CONSUMPTION
2
SOLD LIVESTOCK
3
SOLD LAND
4
SOLD OTHER ASSETS
5
STARTED SELLING PROCESSED FOOD (INCL BEER)
6
STARTED OTHER BUSINESS
7
TOOK CASUAL EMPLOYMENT (KIBARUA)
8
TOOK OFF-FARM WAGE EMPLOYMENT
9
INTRODUCED OTHER CROPS
10
RELIED ON SUPPORT FROM ORGANISATIONS
11
RELIED ON SUPPORT FROM FAMILY AND FRIENDS
12
MIGRATED TO WORK ELSEWHERE (FISHING)
13
MIGRATED TO WORK ELSEWHERE (OTHER)
14
TOOK CHILDREN FROM SCHOOL
15
MIGRATED TO LIVE WITH RELATIVES OR FRIENDS
16
OTHER (SPECIFY)
99
DK
Sysmiss
specifyA
specifyA
specifyA
specifyA
specifyA
10
CONSOLATION
FARM EMPLOYMENT
NONE
SOLD COMMODITIES EG COFFE
SOLD CROPS
SPENDS WHAT HE OBTAINED
SPENDS WHAT SHE OBTAINED
THEY DEPENDED MUCH HUSBAN
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
87
3131
1
REDUCED CONSUMPTION
2
SOLD LIVESTOCK
3
SOLD LAND
4
SOLD OTHER ASSETS
5
STARTED SELLING PROCESSED FOOD (INCL BEER)
6
STARTED OTHER BUSINESS
7
TOOK CASUAL EMPLOYMENT (KIBARUA)
8
TOOK OFF-FARM WAGE EMPLOYMENT
9
INTRODUCED OTHER CROPS
10
RELIED ON SUPPORT FROM ORGANISATIONS
11
RELIED ON SUPPORT FROM FAMILY AND FRIENDS
12
MIGRATED TO WORK ELSEWHERE (FISHING)
13
MIGRATED TO WORK ELSEWHERE (OTHER)
14
TOOK CHILDREN FROM SCHOOL
15
MIGRATED TO LIVE WITH RELATIVES OR FRIENDS
16
OTHER (SPECIFY)
99
DK
Sysmiss
specifyB
specifyB
specifyB
specifyB
specifyB
2
DEPEND ON LENDING BICYCLE
SENT CHILD TO HER FATHER
What type of year was 1997?
What type of year was 1997?
What type of year was 1997?
What type of year was 1997?
What type of year was 1997?
3196
22
1
YEAR THAT WAS PREDOMINANTLY VERY GOOD
2
YEAR THAT WAS PREDOMINANTLY GOOD
3
YEAR THAT WAS PREDOMINANTLY AVERAGE/NORMAL
4
YEAR THAT WAS PREDOMINANTLY BAD
5
YEAR THAT WAS PREDOMINANTLY VERY BAD
9
DK
Sysmiss
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
38
3180
1
HIGH CROP PRICES: high income due to high prices from crops myself and/or household I was living in
2
BUMPER HARVEST: high income due to high output from agricultural crops by myself and/or household I was living in
3
LIVESTOCK: high income due to extra income from livestock by myself and/or household I was living in
4
WAGE EMPLOYMENT: high income due to wage employment by myself and/or household I was living in
5
OFF-FARM EMPLOYMENT: high income due to off-farm employment by myself and/or household I was living in
6
REMITTANCES: high income due to high transfers or remittances from individuals
7
GIFTS AND SUPPORT BY ORGANISATIONS: high income due to support by development organisations
8
RETURNS TO OTHER ASSETS: high income from assets (e.g. house rental, vehicle rental, land rental, asset sale prices)
9
NEW ASSETS: inheritance, other asset gifts
10
OTHER (SPECIFY)
99
DK
Sysmiss
specify
specify
specify
specify
specify
8
BRIDE
GOT SECOND CHILD
HIGH PROFIT FROM BUSINESS
MARRIAGE
RELATIVE SUPPORT/BIRTH
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
208
3010
1
LOW CROP PRICES: low income due to low prices from crops myself and/or household I was living in
2
POOR HARVEST (WEATHER): low income due to poor harvest from agricultural crops due to weather conditions
3
POOR HARVEST(OTHER): low income due to poor harvest from agricultural crops due to pests and other non weather related circumstances
4
LIVESTOCK: low income due to loss of livestock due to death or low income from livestock due to weather, disease
5
WAGE EMPLOYMENT: low income due to loss of job and/or period of unemployment
6
OFF-FARM EMPLOYMENT: low income due to collapse of business, or low income from continuing business activities
7
REMITTANCES: low income due to lower transfers or remittances from individuals
8
GIFTS AND SUPPORT BY ORGANISATIONS: low income due to withdrawal of support by development organisations
9
EVICTION/RESETTLEMENT: loss of house and livelihood due to eviction, resettlement, forced migration
10
DEATH OF FAMILY MEMBER: low income or asset losses linked to a death, due to illness or other causes
11
SERIOUS ILLNESS: low income or asset losses linked to serious illness (even if leading to death, but most hardship during illness)
12
LOSS OF ASSETS: due to crime, violence, theft, etc
13
OTHER (SPECIFY)
99
DK
Sysmiss
specify
specify
specify
specify
specify
10
CHILD BIRTH COMPLICATION
HARD UP
JAILED
MISUNDERSTANDINGS
NO JOB
PRISON
STARTED LIFE
STOPED DEPENDING ON FATHE
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
204
3014
1
REDUCED CONSUMPTION
2
SOLD LIVESTOCK
3
SOLD LAND
4
SOLD OTHER ASSETS
5
STARTED SELLING PROCESSED FOOD (INCL BEER)
6
STARTED OTHER BUSINESS
7
TOOK CASUAL EMPLOYMENT (KIBARUA)
8
TOOK OFF-FARM WAGE EMPLOYMENT
9
INTRODUCED OTHER CROPS
10
RELIED ON SUPPORT FROM ORGANISATIONS
11
RELIED ON SUPPORT FROM FAMILY AND FRIENDS
12
MIGRATED TO WORK ELSEWHERE (FISHING)
13
MIGRATED TO WORK ELSEWHERE (OTHER)
14
TOOK CHILDREN FROM SCHOOL
15
MIGRATED TO LIVE WITH RELATIVES OR FRIENDS
16
OTHER (SPECIFY)
99
DK
Sysmiss
specifyA
specifyA
specifyA
specifyA
specifyA
10
FARM EMPLOYMENT
LEGAL HELP
NONE
OPERATED
SHE DEPENDED MUCH ON THE
SOLD COMMODITIES EG COFFE
SPENDS WHAT HE OBTAINED
SPENDS WHAT SHE OBTAINED
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
119
3099
1
REDUCED CONSUMPTION
2
SOLD LIVESTOCK
3
SOLD LAND
4
SOLD OTHER ASSETS
5
STARTED SELLING PROCESSED FOOD (INCL BEER)
6
STARTED OTHER BUSINESS
7
TOOK CASUAL EMPLOYMENT (KIBARUA)
8
TOOK OFF-FARM WAGE EMPLOYMENT
9
INTRODUCED OTHER CROPS
10
RELIED ON SUPPORT FROM ORGANISATIONS
11
RELIED ON SUPPORT FROM FAMILY AND FRIENDS
12
MIGRATED TO WORK ELSEWHERE (FISHING)
13
MIGRATED TO WORK ELSEWHERE (OTHER)
14
TOOK CHILDREN FROM SCHOOL
15
MIGRATED TO LIVE WITH RELATIVES OR FRIENDS
16
OTHER (SPECIFY)
99
DK
Sysmiss
specifyB
specifyB
specifyB
specifyB
specifyB
1
DIVORCE
What type of year was 1998?
What type of year was 1998?
What type of year was 1998?
What type of year was 1998?
What type of year was 1998?
3196
22
1
YEAR THAT WAS PREDOMINANTLY VERY GOOD
2
YEAR THAT WAS PREDOMINANTLY GOOD
3
YEAR THAT WAS PREDOMINANTLY AVERAGE/NORMAL
4
YEAR THAT WAS PREDOMINANTLY BAD
5
YEAR THAT WAS PREDOMINANTLY VERY BAD
9
DK
Sysmiss
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
37
3181
1
HIGH CROP PRICES: high income due to high prices from crops myself and/or household I was living in
2
BUMPER HARVEST: high income due to high output from agricultural crops by myself and/or household I was living in
3
LIVESTOCK: high income due to extra income from livestock by myself and/or household I was living in
4
WAGE EMPLOYMENT: high income due to wage employment by myself and/or household I was living in
5
OFF-FARM EMPLOYMENT: high income due to off-farm employment by myself and/or household I was living in
6
REMITTANCES: high income due to high transfers or remittances from individuals
7
GIFTS AND SUPPORT BY ORGANISATIONS: high income due to support by development organisations
8
RETURNS TO OTHER ASSETS: high income from assets (e.g. house rental, vehicle rental, land rental, asset sale prices)
9
NEW ASSETS: inheritance, other asset gifts
10
OTHER (SPECIFY)
11
99
DK
Sysmiss
specify
specify
specify
specify
specify
8
BRIDE
GOT FIRST BORN
HIGH PROFIT FROM BUSINESS
MARRIAGE
MARRIED
PASSED P7
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
205
3013
1
LOW CROP PRICES: low income due to low prices from crops myself and/or household I was living in
2
POOR HARVEST (WEATHER): low income due to poor harvest from agricultural crops due to weather conditions
3
POOR HARVEST(OTHER): low income due to poor harvest from agricultural crops due to pests and other non weather related circumstances
4
LIVESTOCK: low income due to loss of livestock due to death or low income from livestock due to weather, disease
5
WAGE EMPLOYMENT: low income due to loss of job and/or period of unemployment
6
OFF-FARM EMPLOYMENT: low income due to collapse of business, or low income from continuing business activities
7
REMITTANCES: low income due to lower transfers or remittances from individuals
8
GIFTS AND SUPPORT BY ORGANISATIONS: low income due to withdrawal of support by development organisations
9
EVICTION/RESETTLEMENT: loss of house and livelihood due to eviction, resettlement, forced migration
10
DEATH OF FAMILY MEMBER: low income or asset losses linked to a death, due to illness or other causes
11
SERIOUS ILLNESS: low income or asset losses linked to serious illness (even if leading to death, but most hardship during illness)
12
LOSS OF ASSETS: due to crime, violence, theft, etc
13
OTHER (SPECIFY)
99
DK
Sysmiss
specify
specify
specify
specify
specify
17
CASE
DEATH OF RELATIVES
ELIMINO
FAMILY PROBLEM
HIGH SCHOOLING EXPENSES
HOUSE COUGHT FIRE
JAILED
MARITAL PROBLEM
NO JOB
PRISON
PRISONED
THE HUSBAND GOT ANOTHER W
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
199
3019
1
REDUCED CONSUMPTION
2
SOLD LIVESTOCK
3
SOLD LAND
4
SOLD OTHER ASSETS
5
STARTED SELLING PROCESSED FOOD (INCL BEER)
6
STARTED OTHER BUSINESS
7
TOOK CASUAL EMPLOYMENT (KIBARUA)
8
TOOK OFF-FARM WAGE EMPLOYMENT
9
INTRODUCED OTHER CROPS
10
RELIED ON SUPPORT FROM ORGANISATIONS
11
RELIED ON SUPPORT FROM FAMILY AND FRIENDS
12
MIGRATED TO WORK ELSEWHERE (FISHING)
13
MIGRATED TO WORK ELSEWHERE (OTHER)
14
TOOK CHILDREN FROM SCHOOL
15
MIGRATED TO LIVE WITH RELATIVES OR FRIENDS
16
OTHER (SPECIFY)
99
DK
Sysmiss
specifyA
specifyA
specifyA
specifyA
specifyA
11
CONSOLATION
HARD WORKING
LEGAL HELP
NONE
PAID MUCH MONEY
RECONSILIATION
SPENDS WHAT HE OBTAINED
SPENDS WHAT SHE OBTAINED
WENT BACK HOME
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
136
3082
1
REDUCED CONSUMPTION
2
SOLD LIVESTOCK
3
SOLD LAND
4
SOLD OTHER ASSETS
5
STARTED SELLING PROCESSED FOOD (INCL BEER)
6
STARTED OTHER BUSINESS
7
TOOK CASUAL EMPLOYMENT (KIBARUA)
8
TOOK OFF-FARM WAGE EMPLOYMENT
9
INTRODUCED OTHER CROPS
10
RELIED ON SUPPORT FROM ORGANISATIONS
11
RELIED ON SUPPORT FROM FAMILY AND FRIENDS
12
MIGRATED TO WORK ELSEWHERE (FISHING)
13
MIGRATED TO WORK ELSEWHERE (OTHER)
14
TOOK CHILDREN FROM SCHOOL
15
MIGRATED TO LIVE WITH RELATIVES OR FRIENDS
16
OTHER (SPECIFY)
99
DK
Sysmiss
specifyB
specifyB
specifyB
specifyB
specifyB
2
LOANS
OVERTIME WORK
What type of year was 1999?
What type of year was 1999?
What type of year was 1999?
What type of year was 1999?
What type of year was 1999?
3196
22
1
YEAR THAT WAS PREDOMINANTLY VERY GOOD
2
YEAR THAT WAS PREDOMINANTLY GOOD
3
YEAR THAT WAS PREDOMINANTLY AVERAGE/NORMAL
4
YEAR THAT WAS PREDOMINANTLY BAD
5
YEAR THAT WAS PREDOMINANTLY VERY BAD
9
DK
Sysmiss
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
39
3179
1
HIGH CROP PRICES: high income due to high prices from crops myself and/or household I was living in
2
BUMPER HARVEST: high income due to high output from agricultural crops by myself and/or household I was living in
3
LIVESTOCK: high income due to extra income from livestock by myself and/or household I was living in
4
WAGE EMPLOYMENT: high income due to wage employment by myself and/or household I was living in
5
OFF-FARM EMPLOYMENT: high income due to off-farm employment by myself and/or household I was living in
6
REMITTANCES: high income due to high transfers or remittances from individuals
7
GIFTS AND SUPPORT BY ORGANISATIONS: high income due to support by development organisations
8
RETURNS TO OTHER ASSETS: high income from assets (e.g. house rental, vehicle rental, land rental, asset sale prices)
9
NEW ASSETS: inheritance, other asset gifts
10
OTHER (SPECIFY)
11
99
DK
Sysmiss
specify
specify
specify
specify
specify
7
BRIDE
FINISHED SCHOOL
HIGH PROFIT FROM BUSINESS
MARRIAGE
MARRIED
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
192
3026
1
LOW CROP PRICES: low income due to low prices from crops myself and/or household I was living in
2
POOR HARVEST (WEATHER): low income due to poor harvest from agricultural crops due to weather conditions
3
POOR HARVEST(OTHER): low income due to poor harvest from agricultural crops due to pests and other non weather related circumstances
4
LIVESTOCK: low income due to loss of livestock due to death or low income from livestock due to weather, disease
5
WAGE EMPLOYMENT: low income due to loss of job and/or period of unemployment
6
OFF-FARM EMPLOYMENT: low income due to collapse of business, or low income from continuing business activities
7
REMITTANCES: low income due to lower transfers or remittances from individuals
8
GIFTS AND SUPPORT BY ORGANISATIONS: low income due to withdrawal of support by development organisations
9
EVICTION/RESETTLEMENT: loss of house and livelihood due to eviction, resettlement, forced migration
10
DEATH OF FAMILY MEMBER: low income or asset losses linked to a death, due to illness or other causes
11
SERIOUS ILLNESS: low income or asset losses linked to serious illness (even if leading to death, but most hardship during illness)
12
LOSS OF ASSETS: due to crime, violence, theft, etc
13
OTHER (SPECIFY)
52
99
DK
Sysmiss
specify
specify
specify
specify
specify
25
BECAUSE OF MARRIAGE
CASE
CHASED FROM MY HUSBAND'S
CONTRADICT WITH PARENTS
DEATH OF RELATIVES
DEBIT
EXPELLED FROM HOME
FAMILY COMFLICTS
HIGH SCHOOLING EXPENSES
HOUSE COUGHT FIRE
HUSBAND ESCAPED
HUSBAND MOVED OUT
JAILED
MARITAL PROBLEM
NO JOB
OPRESSED
PRISON
PRISONED
THERE HOUSE CRUMBLED DOWN
WITCHCRAFT
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
188
3030
1
REDUCED CONSUMPTION
2
SOLD LIVESTOCK
3
SOLD LAND
4
SOLD OTHER ASSETS
5
STARTED SELLING PROCESSED FOOD (INCL BEER)
6
STARTED OTHER BUSINESS
7
TOOK CASUAL EMPLOYMENT (KIBARUA)
8
TOOK OFF-FARM WAGE EMPLOYMENT
9
INTRODUCED OTHER CROPS
10
RELIED ON SUPPORT FROM ORGANISATIONS
11
RELIED ON SUPPORT FROM FAMILY AND FRIENDS
12
MIGRATED TO WORK ELSEWHERE (FISHING)
13
MIGRATED TO WORK ELSEWHERE (OTHER)
14
TOOK CHILDREN FROM SCHOOL
15
MIGRATED TO LIVE WITH RELATIVES OR FRIENDS
16
OTHER (SPECIFY)
99
DK
Sysmiss
specifyA
specifyA
specifyA
specifyA
specifyA
7
BUILD OWN HOUSE
CAME TO HER HUSBAND TO TA
LEFT SCHOOL
MARRIAGE
NOTHING
PLANTED OTHER CROPS
WITCHCRAFT
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
126
3092
1
REDUCED CONSUMPTION
2
SOLD LIVESTOCK
3
SOLD LAND
4
SOLD OTHER ASSETS
5
STARTED SELLING PROCESSED FOOD (INCL BEER)
6
STARTED OTHER BUSINESS
7
TOOK CASUAL EMPLOYMENT (KIBARUA)
8
TOOK OFF-FARM WAGE EMPLOYMENT
9
INTRODUCED OTHER CROPS
10
RELIED ON SUPPORT FROM ORGANISATIONS
11
RELIED ON SUPPORT FROM FAMILY AND FRIENDS
12
MIGRATED TO WORK ELSEWHERE (FISHING)
13
MIGRATED TO WORK ELSEWHERE (OTHER)
14
TOOK CHILDREN FROM SCHOOL
15
MIGRATED TO LIVE WITH RELATIVES OR FRIENDS
16
OTHER (SPECIFY)
99
DK
Sysmiss
specifyB
specifyB
specifyB
specifyB
specifyB
1
RELIED ON FAMILY SHAMBA
What type of year was 2000?
What type of year was 2000?
What type of year was 2000?
What type of year was 2000?
What type of year was 2000?
3196
22
1
YEAR THAT WAS PREDOMINANTLY VERY GOOD
2
YEAR THAT WAS PREDOMINANTLY GOOD
3
YEAR THAT WAS PREDOMINANTLY AVERAGE/NORMAL
4
YEAR THAT WAS PREDOMINANTLY BAD
5
YEAR THAT WAS PREDOMINANTLY VERY BAD
9
DK
Sysmiss
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
52
3166
1
HIGH CROP PRICES: high income due to high prices from crops myself and/or household I was living in
2
BUMPER HARVEST: high income due to high output from agricultural crops by myself and/or household I was living in
3
LIVESTOCK: high income due to extra income from livestock by myself and/or household I was living in
4
WAGE EMPLOYMENT: high income due to wage employment by myself and/or household I was living in
5
OFF-FARM EMPLOYMENT: high income due to off-farm employment by myself and/or household I was living in
6
REMITTANCES: high income due to high transfers or remittances from individuals
7
GIFTS AND SUPPORT BY ORGANISATIONS: high income due to support by development organisations
8
RETURNS TO OTHER ASSETS: high income from assets (e.g. house rental, vehicle rental, land rental, asset sale prices)
9
NEW ASSETS: inheritance, other asset gifts
10
OTHER (SPECIFY)
11
13
99
DK
Sysmiss
specify
specify
specify
specify
specify
9
BUSINESS
CAMPAIN ELECTION
HIGH FIELD ALLOWANCE
MARRIAGE
MARRIED
PAID PENSION
PASSED EXAM
SHE GOT MARRIED
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
316
2902
1
LOW CROP PRICES: low income due to low prices from crops myself and/or household I was living in
2
POOR HARVEST (WEATHER): low income due to poor harvest from agricultural crops due to weather conditions
3
POOR HARVEST(OTHER): low income due to poor harvest from agricultural crops due to pests and other non weather related circumstances
4
LIVESTOCK: low income due to loss of livestock due to death or low income from livestock due to weather, disease
5
WAGE EMPLOYMENT: low income due to loss of job and/or period of unemployment
6
OFF-FARM EMPLOYMENT: low income due to collapse of business, or low income from continuing business activities
7
REMITTANCES: low income due to lower transfers or remittances from individuals
8
GIFTS AND SUPPORT BY ORGANISATIONS: low income due to withdrawal of support by development organisations
9
EVICTION/RESETTLEMENT: loss of house and livelihood due to eviction, resettlement, forced migration
10
DEATH OF FAMILY MEMBER: low income or asset losses linked to a death, due to illness or other causes
11
SERIOUS ILLNESS: low income or asset losses linked to serious illness (even if leading to death, but most hardship during illness)
12
LOSS OF ASSETS: due to crime, violence, theft, etc
13
OTHER (SPECIFY)
99
DK
Sysmiss
specify
specify
specify
specify
specify
23
ABORTION
DEATH OF RELATIVE
DIVORCE
HER HUSBAND LEFT HER ALON
HIGH SCHOOLING EXPENSES
HUSBAND JAILED
IMPRISON
IN PRISON
MARITAL PROBLEM
MARRIAGE
NO JOB
PAY TAX
PRISON
PRISONED
SCHOOLING EXPENSES
SEPARATION WITH WIFE
SICK
SUSPENSION FROM SCHOOL
THE HUSBAND WAS IN THE JA
TRAVEL OF FAMILY MEMBER
WITCHCRAFT
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
314
2904
1
REDUCED CONSUMPTION
2
SOLD LIVESTOCK
3
SOLD LAND
4
SOLD OTHER ASSETS
5
STARTED SELLING PROCESSED FOOD (INCL BEER)
6
STARTED OTHER BUSINESS
7
TOOK CASUAL EMPLOYMENT (KIBARUA)
8
TOOK OFF-FARM WAGE EMPLOYMENT
9
INTRODUCED OTHER CROPS
10
RELIED ON SUPPORT FROM ORGANISATIONS
11
RELIED ON SUPPORT FROM FAMILY AND FRIENDS
12
MIGRATED TO WORK ELSEWHERE (FISHING)
13
MIGRATED TO WORK ELSEWHERE (OTHER)
14
TOOK CHILDREN FROM SCHOOL
15
MIGRATED TO LIVE WITH RELATIVES OR FRIENDS
16
OTHER (SPECIFY)
99
DK
Sysmiss
specifyA
specifyA
specifyA
specifyA
specifyA
8
CONSOLATION
NONE
NOTHING
PLANTED OTHER CROPS LIKE
WENT TO HOSPITAL
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
221
2997
1
REDUCED CONSUMPTION
2
SOLD LIVESTOCK
3
SOLD LAND
4
SOLD OTHER ASSETS
5
STARTED SELLING PROCESSED FOOD (INCL BEER)
6
STARTED OTHER BUSINESS
7
TOOK CASUAL EMPLOYMENT (KIBARUA)
8
TOOK OFF-FARM WAGE EMPLOYMENT
9
INTRODUCED OTHER CROPS
10
RELIED ON SUPPORT FROM ORGANISATIONS
11
RELIED ON SUPPORT FROM FAMILY AND FRIENDS
12
MIGRATED TO WORK ELSEWHERE (FISHING)
13
MIGRATED TO WORK ELSEWHERE (OTHER)
14
TOOK CHILDREN FROM SCHOOL
15
MIGRATED TO LIVE WITH RELATIVES OR FRIENDS
16
OTHER (SPECIFY)
99
DK
Sysmiss
specifyB
specifyB
specifyB
specifyB
specifyB
1
SOLD CROPS
What type of year was 2001?
What type of year was 2001?
What type of year was 2001?
What type of year was 2001?
What type of year was 2001?
3196
22
1
YEAR THAT WAS PREDOMINANTLY VERY GOOD
2
YEAR THAT WAS PREDOMINANTLY GOOD
3
YEAR THAT WAS PREDOMINANTLY AVERAGE/NORMAL
4
YEAR THAT WAS PREDOMINANTLY BAD
5
YEAR THAT WAS PREDOMINANTLY VERY BAD
9
DK
Sysmiss
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
63
3155
1
HIGH CROP PRICES: high income due to high prices from crops myself and/or household I was living in
2
BUMPER HARVEST: high income due to high output from agricultural crops by myself and/or household I was living in
3
LIVESTOCK: high income due to extra income from livestock by myself and/or household I was living in
4
WAGE EMPLOYMENT: high income due to wage employment by myself and/or household I was living in
5
OFF-FARM EMPLOYMENT: high income due to off-farm employment by myself and/or household I was living in
6
REMITTANCES: high income due to high transfers or remittances from individuals
7
GIFTS AND SUPPORT BY ORGANISATIONS: high income due to support by development organisations
8
RETURNS TO OTHER ASSETS: high income from assets (e.g. house rental, vehicle rental, land rental, asset sale prices)
9
NEW ASSETS: inheritance, other asset gifts
10
OTHER (SPECIFY)
11
13
99
DK
Sysmiss
specify
specify
specify
specify
specify
8
BOUGHT A CHEAPER LAND
BRIDE
MARRIAGE
MARRIAGE OF DAUGHTER
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
172
3046
1
LOW CROP PRICES: low income due to low prices from crops myself and/or household I was living in
2
POOR HARVEST (WEATHER): low income due to poor harvest from agricultural crops due to weather conditions
3
POOR HARVEST(OTHER): low income due to poor harvest from agricultural crops due to pests and other non weather related circumstances
4
LIVESTOCK: low income due to loss of livestock due to death or low income from livestock due to weather, disease
5
WAGE EMPLOYMENT: low income due to loss of job and/or period of unemployment
6
OFF-FARM EMPLOYMENT: low income due to collapse of business, or low income from continuing business activities
7
REMITTANCES: low income due to lower transfers or remittances from individuals
8
GIFTS AND SUPPORT BY ORGANISATIONS: low income due to withdrawal of support by development organisations
9
EVICTION/RESETTLEMENT: loss of house and livelihood due to eviction, resettlement, forced migration
10
DEATH OF FAMILY MEMBER: low income or asset losses linked to a death, due to illness or other causes
11
SERIOUS ILLNESS: low income or asset losses linked to serious illness (even if leading to death, but most hardship during illness)
12
LOSS OF ASSETS: due to crime, violence, theft, etc
13
OTHER (SPECIFY)
16
99
DK
Sysmiss
specify
specify
specify
specify
specify
13
ABOTION
BABY SICKNESS
CONFLICT
DEATH OF DEPENDANT
DIVORCE
FAILED EXAM
HUSBAND JAILED
INFLECTION
NO JOB
NO MONEY FOR SCHOOLING
SCHOOLING EXPENSES
TOO OLD CANT WORK
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
171
3047
1
REDUCED CONSUMPTION
2
SOLD LIVESTOCK
3
SOLD LAND
4
SOLD OTHER ASSETS
5
STARTED SELLING PROCESSED FOOD (INCL BEER)
6
STARTED OTHER BUSINESS
7
TOOK CASUAL EMPLOYMENT (KIBARUA)
8
TOOK OFF-FARM WAGE EMPLOYMENT
9
INTRODUCED OTHER CROPS
10
RELIED ON SUPPORT FROM ORGANISATIONS
11
RELIED ON SUPPORT FROM FAMILY AND FRIENDS
12
MIGRATED TO WORK ELSEWHERE (FISHING)
13
MIGRATED TO WORK ELSEWHERE (OTHER)
14
TOOK CHILDREN FROM SCHOOL
15
MIGRATED TO LIVE WITH RELATIVES OR FRIENDS
16
OTHER (SPECIFY)
99
DK
Sysmiss
specifyA
specifyA
specifyA
specifyA
specifyA
6
HOUSE RENT
LOAN
NONE
NOTHING
PLANTED OTHER CROPS LIKE
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
107
3111
1
REDUCED CONSUMPTION
2
SOLD LIVESTOCK
3
SOLD LAND
4
SOLD OTHER ASSETS
5
STARTED SELLING PROCESSED FOOD (INCL BEER)
6
STARTED OTHER BUSINESS
7
TOOK CASUAL EMPLOYMENT (KIBARUA)
8
TOOK OFF-FARM WAGE EMPLOYMENT
9
INTRODUCED OTHER CROPS
10
RELIED ON SUPPORT FROM ORGANISATIONS
11
RELIED ON SUPPORT FROM FAMILY AND FRIENDS
12
MIGRATED TO WORK ELSEWHERE (FISHING)
13
MIGRATED TO WORK ELSEWHERE (OTHER)
14
TOOK CHILDREN FROM SCHOOL
15
MIGRATED TO LIVE WITH RELATIVES OR FRIENDS
16
OTHER (SPECIFY)
99
DK
Sysmiss
specifyB
specifyB
specifyB
specifyB
specifyB
1
OVERTIME
What type of year was 2002?
What type of year was 2002?
What type of year was 2002?
What type of year was 2002?
What type of year was 2002?
3196
22
1
YEAR THAT WAS PREDOMINANTLY VERY GOOD
2
YEAR THAT WAS PREDOMINANTLY GOOD
3
YEAR THAT WAS PREDOMINANTLY AVERAGE/NORMAL
4
YEAR THAT WAS PREDOMINANTLY BAD
5
YEAR THAT WAS PREDOMINANTLY VERY BAD
9
DK
Sysmiss
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
67
3151
1
HIGH CROP PRICES: high income due to high prices from crops myself and/or household I was living in
2
BUMPER HARVEST: high income due to high output from agricultural crops by myself and/or household I was living in
3
LIVESTOCK: high income due to extra income from livestock by myself and/or household I was living in
4
WAGE EMPLOYMENT: high income due to wage employment by myself and/or household I was living in
5
OFF-FARM EMPLOYMENT: high income due to off-farm employment by myself and/or household I was living in
6
REMITTANCES: high income due to high transfers or remittances from individuals
7
GIFTS AND SUPPORT BY ORGANISATIONS: high income due to support by development organisations
8
RETURNS TO OTHER ASSETS: high income from assets (e.g. house rental, vehicle rental, land rental, asset sale prices)
9
NEW ASSETS: inheritance, other asset gifts
10
OTHER (SPECIFY)
13
99
DK
Sysmiss
specify
specify
specify
specify
specify
10
BLIDE PRICE
BRIDE
GET EMPLOYED
GIRL BIRTH
GOT A BABY
JOINED S/S
MARRIAGE
NEW BABY BONE
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
203
3015
1
LOW CROP PRICES: low income due to low prices from crops myself and/or household I was living in
2
POOR HARVEST (WEATHER): low income due to poor harvest from agricultural crops due to weather conditions
3
POOR HARVEST(OTHER): low income due to poor harvest from agricultural crops due to pests and other non weather related circumstances
4
LIVESTOCK: low income due to loss of livestock due to death or low income from livestock due to weather, disease
5
WAGE EMPLOYMENT: low income due to loss of job and/or period of unemployment
6
OFF-FARM EMPLOYMENT: low income due to collapse of business, or low income from continuing business activities
7
REMITTANCES: low income due to lower transfers or remittances from individuals
8
GIFTS AND SUPPORT BY ORGANISATIONS: low income due to withdrawal of support by development organisations
9
EVICTION/RESETTLEMENT: loss of house and livelihood due to eviction, resettlement, forced migration
10
DEATH OF FAMILY MEMBER: low income or asset losses linked to a death, due to illness or other causes
11
SERIOUS ILLNESS: low income or asset losses linked to serious illness (even if leading to death, but most hardship during illness)
12
LOSS OF ASSETS: due to crime, violence, theft, etc
13
OTHER (SPECIFY)
16
99
DK
Sysmiss
specify
specify
specify
specify
specify
13
BECAME LONELY
CHILDBIRTH
DIVORCE
INFLECTION
MISSED SCHOOL FEES
MISUNDERSTANDING
NO JOB
POLICE CASE
SCHOOLING EXPENSES
SERIOUS DEBTS
SUSPENSION FROM SCHOOL
TOO OLD CANT WORK
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
203
3015
1
REDUCED CONSUMPTION
2
SOLD LIVESTOCK
3
SOLD LAND
4
SOLD OTHER ASSETS
5
STARTED SELLING PROCESSED FOOD (INCL BEER)
6
STARTED OTHER BUSINESS
7
TOOK CASUAL EMPLOYMENT (KIBARUA)
8
TOOK OFF-FARM WAGE EMPLOYMENT
9
INTRODUCED OTHER CROPS
10
RELIED ON SUPPORT FROM ORGANISATIONS
11
RELIED ON SUPPORT FROM FAMILY AND FRIENDS
12
MIGRATED TO WORK ELSEWHERE (FISHING)
13
MIGRATED TO WORK ELSEWHERE (OTHER)
14
TOOK CHILDREN FROM SCHOOL
15
MIGRATED TO LIVE WITH RELATIVES OR FRIENDS
16
OTHER (SPECIFY)
99
DK
Sysmiss
specifyA
specifyA
specifyA
specifyA
specifyA
9
HOUSE RENT
MARRIAGE
NO WHERE TO STAY
NONE
PENALITY
REJOINED AND WORK HARDER
STOPPED SCHOOL
TOLERATED
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
124
3094
1
REDUCED CONSUMPTION
2
SOLD LIVESTOCK
3
SOLD LAND
4
SOLD OTHER ASSETS
5
STARTED SELLING PROCESSED FOOD (INCL BEER)
6
STARTED OTHER BUSINESS
7
TOOK CASUAL EMPLOYMENT (KIBARUA)
8
TOOK OFF-FARM WAGE EMPLOYMENT
9
INTRODUCED OTHER CROPS
10
RELIED ON SUPPORT FROM ORGANISATIONS
11
RELIED ON SUPPORT FROM FAMILY AND FRIENDS
12
MIGRATED TO WORK ELSEWHERE (FISHING)
13
MIGRATED TO WORK ELSEWHERE (OTHER)
14
TOOK CHILDREN FROM SCHOOL
15
MIGRATED TO LIVE WITH RELATIVES OR FRIENDS
16
OTHER (SPECIFY)
99
DK
Sysmiss
specifyB
specifyB
specifyB
specifyB
specifyB
1
SOLD CROPS
What type of year was 2003?
What type of year was 2003?
What type of year was 2003?
What type of year was 2003?
What type of year was 2003?
3193
25
1
YEAR THAT WAS PREDOMINANTLY VERY GOOD
2
YEAR THAT WAS PREDOMINANTLY GOOD
3
YEAR THAT WAS PREDOMINANTLY AVERAGE/NORMAL
4
YEAR THAT WAS PREDOMINANTLY BAD
5
YEAR THAT WAS PREDOMINANTLY VERY BAD
9
DK
Sysmiss
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
IF VERY GOOD, why was it a very good year?
49
3169
1
HIGH CROP PRICES: high income due to high prices from crops myself and/or household I was living in
2
BUMPER HARVEST: high income due to high output from agricultural crops by myself and/or household I was living in
3
LIVESTOCK: high income due to extra income from livestock by myself and/or household I was living in
4
WAGE EMPLOYMENT: high income due to wage employment by myself and/or household I was living in
5
OFF-FARM EMPLOYMENT: high income due to off-farm employment by myself and/or household I was living in
6
REMITTANCES: high income due to high transfers or remittances from individuals
7
GIFTS AND SUPPORT BY ORGANISATIONS: high income due to support by development organisations
8
RETURNS TO OTHER ASSETS: high income from assets (e.g. house rental, vehicle rental, land rental, asset sale prices)
9
NEW ASSETS: inheritance, other asset gifts
10
OTHER (SPECIFY)
13
99
DK
Sysmiss
specify
specify
specify
specify
specify
7
GIFTS
GOT NEW HOUSE
HAVE NEW BABY
MARRIAGE
MARRIED
VISITED ALOT OF PLACES
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
IF VERY BAD, why was it a very bad year?
378
2840
1
LOW CROP PRICES: low income due to low prices from crops myself and/or household I was living in
2
POOR HARVEST (WEATHER): low income due to poor harvest from agricultural crops due to weather conditions
3
POOR HARVEST(OTHER): low income due to poor harvest from agricultural crops due to pests and other non weather related circumstances
4
LIVESTOCK: low income due to loss of livestock due to death or low income from livestock due to weather, disease
5
WAGE EMPLOYMENT: low income due to loss of job and/or period of unemployment
6
OFF-FARM EMPLOYMENT: low income due to collapse of business, or low income from continuing business activities
7
REMITTANCES: low income due to lower transfers or remittances from individuals
8
GIFTS AND SUPPORT BY ORGANISATIONS: low income due to withdrawal of support by development organisations
9
EVICTION/RESETTLEMENT: loss of house and livelihood due to eviction, resettlement, forced migration
10
DEATH OF FAMILY MEMBER: low income or asset losses linked to a death, due to illness or other causes
11
SERIOUS ILLNESS: low income or asset losses linked to serious illness (even if leading to death, but most hardship during illness)
12
LOSS OF ASSETS: due to crime, violence, theft, etc
13
OTHER (SPECIFY)
99
DK
Sysmiss
specify
specify
specify
specify
specify
24
12
BEATEN
BITTER MARRIAGE
CONFLICT WITH SPOUSE
CRIMINAL CASE
DIVORCE
DIVORVED
FAILED EXAMS
FAMILY COMFLICTS
GOT PREGNANCY AND CHASED
ILLNESS OF FAMILY MEMBER
INFLECTION
JAILED
LACK OF FOOD
NEIGHBOUR HARASSMENT
NO JOB
OWN ILLNESS
PRISONED
SCHOOLING EXPENSES
SUSPENSION FROM SCHOOL
TOO OLD CANT WORK
UNSAFETY OF PROPERTIES
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
IF VERY BAD, how did you cope?
376
2842
1
REDUCED CONSUMPTION
2
SOLD LIVESTOCK
3
SOLD LAND
4
SOLD OTHER ASSETS
5
STARTED SELLING PROCESSED FOOD (INCL BEER)
6
STARTED OTHER BUSINESS
7
TOOK CASUAL EMPLOYMENT (KIBARUA)
8
TOOK OFF-FARM WAGE EMPLOYMENT
9
INTRODUCED OTHER CROPS
10
RELIED ON SUPPORT FROM ORGANISATIONS
11
RELIED ON SUPPORT FROM FAMILY AND FRIENDS
12
MIGRATED TO WORK ELSEWHERE (FISHING)
13
MIGRATED TO WORK ELSEWHERE (OTHER)
14
TOOK CHILDREN FROM SCHOOL
15
MIGRATED TO LIVE WITH RELATIVES OR FRIENDS
16
OTHER (SPECIFY)
99
DK
Sysmiss
specifyA
specifyA
specifyA
specifyA
specifyA
11
GROW BEANS FOR SALE
NO WHERE TO STAY
PRESIDENT EXCUSE
REPORTED TO CHAIRMAN
REPORTED TO HUSBAND
SEEK FOR JUSTICE
SELLING PRODUCED GOOD
SOLD CROPS
WAITING TO JOIN VETA
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
IF VERY BAD, how did you cope (2)?
247
2971
1
REDUCED CONSUMPTION
2
SOLD LIVESTOCK
3
SOLD LAND
4
SOLD OTHER ASSETS
5
STARTED SELLING PROCESSED FOOD (INCL BEER)
6
STARTED OTHER BUSINESS
7
TOOK CASUAL EMPLOYMENT (KIBARUA)
8
TOOK OFF-FARM WAGE EMPLOYMENT
9
INTRODUCED OTHER CROPS
10
RELIED ON SUPPORT FROM ORGANISATIONS
11
RELIED ON SUPPORT FROM FAMILY AND FRIENDS
12
MIGRATED TO WORK ELSEWHERE (FISHING)
13
MIGRATED TO WORK ELSEWHERE (OTHER)
14
TOOK CHILDREN FROM SCHOOL
15
MIGRATED TO LIVE WITH RELATIVES OR FRIENDS
16
OTHER (SPECIFY)
99
DK
Sysmiss
specifyB
specifyB
specifyB
specifyB
specifyB
5
DIVORCE
LOAN
SOLD CROPS
SOLD UNRIPE COFFEE BUTURA
6330
6330
01
02
03
04
05
06
07
08
09
10
11
12
13
DESCRIPTION
DESCRIPTION
DESCRIPTION
DESCRIPTION
DESCRIPTION
6330
22
AUCALYPTUS FARM
AVOCADOES,BANANA,COFFEE,YAMS
BAMBARA NUTS
BAMBARA NUTS,BEANS,CASSAVA
BAMBARA NUTS,CASSAVA
BAMBARA NUTS,CASSAVA,SWEET POTATOES
BAMBARA NUTS,SWEET POTATOES
BAMBARA,GROUNDNUTS,MAIZE
BAMBARANUTS,CASSAVA
BAMBARANUTS,CASSAVA,SWEET POTATOES
BAMBARANUTS,FALLOW
BAMBARANUTS,GROUNDNUTS
BAMBARANUTS,SWEET POTATOES
BANANA
BANANA,AVOCADO
BANANA,AVOCADO,COFFEE,PALMS,YAMS
BANANA,AVOCADO,COFFEE,YAMS
BANANA,BAMBARANUTS
BANANA,BEANS
BANANA,BEANS,CASSAVA
BANANA,BEANS,CASSAVA,COFFEE
BANANA,BEANS,CASSAVA,COFFEE,MAIZE
BANANA,BEANS,CASSAVA,MAIZE
BANANA,BEANS,CASSAVA,MAIZE,POT
BANANA,BEANS,CASSAVA,POTATOES
BANANA,BEANS,CASSAVA,YAMS
BANANA,BEANS,COFFEE
BANANA,BEANS,COFFEE,CASSAVA,MAIZE
BANANA,BEANS,COFFEE,MAIZE
BANANA,BEANS,COFFEE,POTATOES
BANANA,BEANS,COFFEE,YAMS
BANANA,BEANS,EUCALIPTUS
BANANA,BEANS,GROUNDNUTS
BANANA,BEANS,MAIZE
BANANA,BEANS,MAIZE,POTATOES
BANANA,BEANS,MAIZE,SWEET POTATOES
BANANA,BEANS,MAIZE,TOBACCO
BANANA,BEANS,MAIZE,YAMS
BANANA,BEANS,SUGARCANE
BANANA,BEANS,SWEET POTATOES
BANANA,BEANS,YAMS
BANANA,BULLRUSH,COFFEE
BANANA,CABBAGE,TOMATOES
BANANA,CASSAVA
BANANA,CASSAVA,COCONUTS
BANANA,CASSAVA,COCOYAMS
BANANA,CASSAVA,COFFEE
BANANA,CASSAVA,COFFEE,FRUITS
BANANA,CASSAVA,COFFEE,MAIZE
BANANA,CASSAVA,COFFEE,TREES
BANANA,CASSAVA,COFFEE,YAMS
BANANA,CASSAVA,COFFEE,YAMS,SWEET POTATOES
BANANA,CASSAVA,FALLOW
BANANA,CASSAVA,GROUNDNUTS
BANANA,CASSAVA,MAIZE
BANANA,CASSAVA,MAIZE,PINEAPPLES
BANANA,CASSAVA,MAIZE,POTATOES
BANANA,CASSAVA,MAIZE,SWEET POTATOES
BANANA,CASSAVA,MAIZE,YAMS
BANANA,CASSAVA,POTATOES
BANANA,CASSAVA,POTATOES,YAMS
BANANA,CASSAVA,SWEET POTATOES
BANANA,CASSAVA,SWEET POTATOES,YAMS
BANANA,CASSAVA,TREES
BANANA,CASSAVA,TREES,YAMS
BANANA,CASSAVA,VAMILLA
BANANA,CASSAVA,VEGETABLES
BANANA,CASSAVA,YAMS
BANANA,CASSAVA,YAMS,COFFEE
BANANA,CASSAVA.MILLET
BANANA,COCONUTS
BANANA,COCOYAMS
BANANA,COFFEE
BANANA,COFFEE,EUCALIPTUS
BANANA,COFFEE,FALLOW
BANANA,COFFEE,FRUITS
BANANA,COFFEE,GROUNDNUTS
BANANA,COFFEE,MAIZE
BANANA,COFFEE,MAIZE,YAMS
BANANA,COFFEE,MANGOES
BANANA,COFFEE,NUTS
BANANA,COFFEE,POTATOES
BANANA,COFFEE,POTATOES,YAMS
BANANA,COFFEE,PUMPKINS,YAMS
BANANA,COFFEE,SWEET POTATOES
BANANA,COFFEE,TOMATOES
BANANA,COFFEE,TREES
BANANA,COFFEE,YAMS
BANANA,COTTON,VANILLA
BANANA,CROPS
BANANA,EUCALIPTUS
BANANA,FALLOW
BANANA,GROUNDNUTS
BANANA,MAIZE
BANANA,MAIZE,GROUNDNUTS
BANANA,MAIZE,MILLET
BANANA,MAIZE,MILLET,SORGHUM
BANANA,MAIZE,MSUSA
BANANA,MAIZE,SWEET POTATOES
BANANA,MAIZE,YAMS
BANANA,MILLET
BANANA,ONION,TOMATOES,VEGETABLES
BANANA,PALM OIL
BANANA,PAWPAW
BANANA,PINEAPPLE
BANANA,POTATOES
BANANA,POTATOES,YAMS
BANANA,SUNFLOWER
BANANA,SWEET POTATOES
BANANA,SWEET POTATOES,TREES
BANANA,TOBACCO
BANANA,TREES
BANANA,VANILLA
BANANA,YAMS
BANANA.BEANS,CASSAVA,POTATOES
BANANA/MAIZE/BEANS/POTATOES/CASSAVA/MILLET
BEANS
BEANS,CASSAVA
BEANS,CASSAVA,COFFEE,GROUNDNUTS
BEANS,CASSAVA,FALLOW,MAIZE
BEANS,CASSAVA,GROUNDNUTS
BEANS,CASSAVA,GROUNDNUTS,MAIZE
BEANS,CASSAVA,MAIZE
BEANS,CASSAVA,MAIZE,MILLET
BEANS,CASSAVA,MAIZE,POTATOES
BEANS,CASSAVA,MAIZE,SWEET POTATOES
BEANS,CASSAVA,MAIZE,YAMS
BEANS,CASSAVA,POTATOES
BEANS,CASSAVA,SOYA
BEANS,CASSAVA,SWEET POTATOES
BEANS,COFFEE
BEANS,COFFEE,MAIZE
BEANS,FALLOW
BEANS,FINGER MILLET
BEANS,GROUNDNUTS
BEANS,GROUNDNUTS,MAIZE
BEANS,GROUNDNUTS,MAIZE,MILLET
BEANS,GROUNDNUTS,PEAS
BEANS,MAIZE
BEANS,MAIZE,COWPEASE
BEANS,MAIZE,GROUNDNUTS
BEANS,MAIZE,MILLET
BEANS,MAIZE,PEAS
BEANS,MAIZE,POTATOES
BEANS,MAIZE,SORGHUM
BEANS,MAIZE,SPINACH
BEANS,MAIZE,SWEET POTATOES
BEANS,MAIZE,SWEET POTATOES,CASSAVA
BEANS,MAIZE,SWEET POTATOES,YAMS
BEANS,MAIZE,YAMS
BEANS,MILLET,POTATOES
BEANS,NUTS,SORGHUM
BEANS,PASSION
BEANS,PEAS
BEANS,POTATOES
BEANS,POTATOES,SORGHUM
BEANS,SORGHUM
BEANS,SWEET POTATOES
BEANS,TOMATOES
BEANS,TREES
BITTER TOMATOES
BITTER TOMATOES,CABBAGE
BITTER TOMATOES,CABBAGE,SPINACH
BITTER TOMATOES,CABBAGE,TOMATOES
BITTER TOMATOES,SWEET POTATOES
BITTER TOMATOES,TOMATOES
BULLRUSH MILLET,CASSAVA
CABBAGE
CABBAGE,ONIONS
CABBAGE,POTATOES
CABBAGE,SPINACH
CABBAGE,TOMATOES
CARROT
CARROTS,SPINACH
CASHEWNUTS
CASHEWNUTS,CASSAVA
CASHEWNUTS,CASSAVA,SWEET POTATOES
CASSAVA
CASSAVA, PEAS
CASSAVA,CASHEWNUTS
CASSAVA,COCONUTS,FRUITS
CASSAVA,COCOYAMS
CASSAVA,COCOYAMS,POTATOES
CASSAVA,COCOYAMS,SWEET POTATOES
CASSAVA,COCOYAMS,TREES
CASSAVA,COCOYAMS,YAMS
CASSAVA,COFFEE
CASSAVA,COFFEE,PINEAPPLE,YAMS
CASSAVA,COFFEE,SWEET POTATOES
CASSAVA,COFFEE,TOMATOES
CASSAVA,COFFEE,TREES
CASSAVA,EGG PLANT, POTATOES
CASSAVA,GROUNDNUTS
CASSAVA,GROUNDNUTS,MAIZE
CASSAVA,GROUNDNUTS,SWEET POTATOES
CASSAVA,GROUNDNUTS,TREES
CASSAVA,MAIZE
CASSAVA,MAIZE,MILLET
CASSAVA,MAIZE,POTATOES
CASSAVA,MAIZE,SWEET POTATOES
CASSAVA,MAIZE,YAMS
CASSAVA,MILLET
CASSAVA,NUTS
CASSAVA,NUTS,SWEET POTATOES
CASSAVA,POTATOES
CASSAVA,POTATOES,YAMS
CASSAVA,SORGHUM
CASSAVA,SORGHUM,SWEET POTATOES
CASSAVA,SWEET POTATOES
CASSAVA,SWEET POTATOES,YAMS
CASSAVA,SWEETPOTATOES
CASSAVA,TOMATOES
CASSAVA,TREE
CASSAVA,TREES
CASSAVA,TREES,FALLOW
CASSAVA,YAMS
CASSAVA.MAIZE
CASSAVA.MAIZE,MILLET
COCONUTS,MAIZE
COCOYAMS
COCOYAMS, SWEET POTATOES
COCOYAMS,CASSAVA,SWEET POTATOES
COCOYAMS,PEAS
COCOYAMS,POTATOES
COCOYAMS,SWEET POTATOES
COCOYAMS,SWEET POTATOES,YAMS
COCOYAMS,YAMS
COFFEE
COFFEE,MAIZE
COFFEE,MAIZE,MILLET
COFFEE,PINEAPPLE
COFFEE,TOMATOES
COFFEE,TREES
COFFEE,YAMS,SWEET POTATOES
COTTON
COTTON,SWEET POTATOES
COWPEAS,LENTILS,MAIZE
CROPS
EUCALIPTUS,GRIVELIA
EUCALYPTUS
EUCALYPTUS,GILLIVERIA
FALLOW
FARM
FARM - MIXTURE
FARMING
FINGER MILLET,SWEET POTATOES
FRUITS
GARDEN
GERVELIA ROBUSTA
GROUNDNUTS
GROUNDNUTS,MAIZE
GROUNDNUTS,MAIZE,SWEET POTATOES
GROUNDNUTS,PEAS
GROUNDNUTS,POTATOES
GROUNDNUTS,SWEET POTATOES
GROUNDNUTS,SWEET POTATOES,YAMS
IMESHI AGRICULTURE(JUNE BEANS)
IN PREPARATIONS
MAIZE
MAIZE,CASSAVA,SWEET POTATOES
MAIZE,CASSAVA,YAMS
MAIZE,GROUNDNUTS
MAIZE,GROUNDNUTS,BEANS
MAIZE,GROUNDNUTS,SWEET POTATOES
MAIZE,MILLET
MAIZE,MILLET,POTATOES
MAIZE,MILLET,SWEET POTATOES
MAIZE,MILLET,VEGETABLES
MAIZE,PEAS
MAIZE,POTATOES
MAIZE,POTATOES,SWEET POTATOES
MAIZE,POTATOES,TREES
MAIZE,PUMPKINS
MAIZE,RICE
MAIZE,SORGHUM
MAIZE,SORGHUM,SWEET POTATOES
MAIZE,SUGARCANE
MAIZE,SWEET POTATOES
MAIZE,SWEET POTATOES,TOMATOES
MAIZE,SWEET POTATOES,YAMS
MAIZE,TOBACCO
MAIZE,TREES
MAIZE,YAMS
MIHUMULA
MILLET
MILLET,PAWPAWS,ORANGE,TOBACCO
MILLET,POTATOES
MILLET,SWEET POTATOES
MIXED FALLOW/CASSAVA/BANANA/COFFEE/MAIZE/BEANS
MIXED FARM
MIXED SWEET POTATOES/GUATEMALA
MIXED SWEETPOTATOES/CASSAVA/MAIZE/MILLET
MIXED TOMATOES AND BULBS FARM
MIXED:BANANA,BEANS,CASSAVA,SWEET POTATOES,COFFEE
MIXED:BANANA/MAIZE/BEANS/CASSAVA/PINAPLE
NUTS,SWEET POTATOES
ONIONS
ONIONS,TOMATOES
PASSIONS
PAWPAWS,PASSIONS
PEAS
PEPPER
PEPPER,TOMATOES
PINEAPPLE,TREES
PINEAPPLES
PINES
POTATOES
POTATOES,SORGHUM
POTATOES,SWEET POTATOES
POTATOES,SWEET POTATOES,TREES
POTATOES,YAMS
PUDDY FARM
PUDDY RICE
RICE
RICE,VEGETABLES
ROUNDNUTS
SORGHUM
SPINACH
SPINACH,TOMATOES
SUGARCANE
SUNFLOWER
SWEET POTATOES
SWEET POTATOES,FALLOW
SWEET POTATOES,TOMATOES
SWEET POTATOES,VEGETABLES
SWEET POTATOES,YAMS
TABACCO
TIMBER WOOD
TOBACCO
TOMATOES
TOMATOES,VEGETABLES
TREES
TREES(EUCALYPTUS)
TREES(GILIVELIA/ECALYPTUS)
TREES,FALLOW
TREES/GRASSLAND
VANILLA
VEGETABLES
WHITE MILLET
YAMS
AREA
AREA
AREA
AREA
AREA
6326
4
0.1
70
1.293
1.718
AREA CODE
AREA CODE
AREA CODE
AREA CODE
AREA CODE
6316
14
99
1.05
1.777
Is this plot?
Is this plot?
Is this plot?
Is this plot?
Is this plot?
6324
6
1
OWNED AND CULTIVATED BY YOURSELF
2
NOT OWNED BUT RENTED IN
3
OWNED AND RENTED OUT
4
OWNED AND LEFT FALLOW
9
DK
Sysmiss
Did you or your household have to pay for the use of this sh
Did you or your household have to pay for the use of this sh
Did you or your household have to pay for the use of this sh
Did you or your household have to pay for the use of this sh
Did you or your household have to pay for the use of this sh
2095
4235
1
YES
2
NO
9
DK
Sysmiss
What was the value of crops and cash or any other payments m
What was the value of crops and cash or any other payments m
What was the value of crops and cash or any other payments m
What was the value of crops and cash or any other payments m
What was the value of crops and cash or any other payments m
479
5851
160000
4374.008
9212.824
Did you or members of your household receive any payments in
Did you or members of your household receive any payments in
Did you or members of your household receive any payments in
Did you or members of your household receive any payments in
Did you or members of your household receive any payments in
34
6296
1
YES
2
NO
9
DK
Sysmiss
How much was received by the members of your household in ca
How much was received by the members of your household in ca
How much was received by the members of your household in ca
How much was received by the members of your household in ca
How much was received by the members of your household in ca
16
6314
600
50000
11468.75
12695.286
If you wanted to sell this shamba/garden today, how much cou
If you wanted to sell this shamba/garden today, how much cou
If you wanted to sell this shamba/garden today, how much cou
If you wanted to sell this shamba/garden today, how much cou
If you wanted to sell this shamba/garden today, how much cou
4226
2104
2000
999999999999
12542309916.896
111297043894.27
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
4903
1427
1
Sysmiss
97567
In the past 12 months (since...) have the members of your ho
In the past 12 months (since...) have the members of your ho
In the past 12 months (since...) have the members of your ho
In the past 12 months (since...) have the members of your ho
In the past 12 months (since...) have the members of your ho
97556
11
1
YES
2
NO
9
DK
Sysmiss
QUANTITY
QUANTITY
QUANTITY
QUANTITY
QUANTITY
21323
76244
999999
1368.359
36854.222
UNIT
UNIT
UNIT
UNIT
UNIT
4385
93182
1
KG
2
TON
3
LB
4
SACK
5
FUNGU
6
KIBABA
7
BUNCH
8
FRUIT
9
LOG
10
DEBE/TIN
11
PIECE
12
STICK
13
KIMBO
14
MZIGO
15
TOTAL
16
KOPO
17
99
DK
Sysmiss
AMOUNT TSHS
AMOUNT TSHS
AMOUNT TSHS
AMOUNT TSHS
AMOUNT TSHS
4372
93195
999999999999
4574571517.999
67488373042.308
UNIT
UNIT
UNIT
UNIT
UNIT
4363
93204
1
KG
2
TON
3
LB
4
SACK
5
FUNGU
6
KIBABA
7
BUNCH
8
FRUIT
9
LOG
10
DEBE/TIN
11
PIECE
12
STICK
13
KIMBO
14
MZIGO
15
TOTAL
16
KOPO
17
99
DK
Sysmiss
Have you lost any part of the harvested crops to insects, ro
Have you lost any part of the harvested crops to insects, ro
Have you lost any part of the harvested crops to insects, ro
Have you lost any part of the harvested crops to insects, ro
Have you lost any part of the harvested crops to insects, ro
21325
76242
1
YES
2
NO
9
DK
Sysmiss
If you had sold this same quantity at the time you lost it,
If you had sold this same quantity at the time you lost it,
If you had sold this same quantity at the time you lost it,
If you had sold this same quantity at the time you lost it,
If you had sold this same quantity at the time you lost it,
5537
92030
999999999999
2347849992.644
48401988601.981
What was the total value of [CROP] that you kept for seed or
What was the total value of [CROP] that you kept for seed or
What was the total value of [CROP] that you kept for seed or
What was the total value of [CROP] that you kept for seed or
What was the total value of [CROP] that you kept for seed or
21321
76246
999999999999
1641621841.353
40484021911.397
Do you have any of ..(CROP).. in stock at present?
Do you have any of ..(CROP).. in stock at present?
Do you have any of ..(CROP).. in stock at present?
Do you have any of ..(CROP).. in stock at present?
Do you have any of ..(CROP).. in stock at present?
21319
76248
1
YES
2
NO
9
DK
Sysmiss
If you were to sell this same quantity now, what is the most
If you were to sell this same quantity now, what is the most
If you were to sell this same quantity now, what is the most
If you were to sell this same quantity now, what is the most
If you were to sell this same quantity now, what is the most
3151
94416
999999999999
317371129.577
17814588433.455
97567
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
71638
25929
1
Sysmiss
11662
In the past 12 months (since...), did your household...
In the past 12 months (since...), did your household...
In the past 12 months (since...), did your household...
In the past 12 months (since...), did your household...
In the past 12 months (since...), did your household...
11661
1
1
YES
2
NO
9
DK
Sysmiss
How much did you spend on (...INPUT...) in the past 12 month
How much did you spend on (...INPUT...) in the past 12 month
How much did you spend on (...INPUT...) in the past 12 month
How much did you spend on (...INPUT...) in the past 12 month
How much did you spend on (...INPUT...) in the past 12 month
2569
9093
1080000
12937.908
42836.185
11662
01
02
03
04
05
06
07
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
11662
1
8347
010601
010702
010703
010704
011203
011601
011801
011901
012001
012002
020401
020801
021103
021503
031501
040803
041004
041302
050101
050201
050204
050701
051002
051202
051301
051402
051501
051502
051801
051901
060101
060201
060401
060701
061102
061211
061501
061701
070105
070202
070301
070312
070504
070601
070901
071007
071601
080206
080501
080502
080601
081301
081702
090201
091105
091701
091804
091806
091905
100404
100501
100704
100902
101102
101201
101202
101601
110401
110403
111002
111004
120201
120602
121003
121301
121701
121703
130101
130102
130304
130306
130701
130901
131006
131501
131703
132101
140201
140301
140302
140303
140501
140507
141201
141402
141604
150802
151102
152001
152002
152101
160701
160901
161102
161601
161602
170102
170401
170502
170601
170901
170902
171101
172004
172501
172503
180101
180203
180405
181302
181606
190601
190603
191301
191703
192501
200401
201001
201201
201603
210302
210308
211801
211802
211803
220501
220504
220505
220601
220603
220606
220703
220901
221004
221101
221104
221305
221501
221504
221701
230501
230503
230701
230804
230805
230902
230903
231201
232002
232004
232203
232301
240102
240301
240302
240303
240401
240403
240404
240405
240501
240601
240602
240603
240701
240704
240901
240904
240906
240909
241001
241002
241003
241006
241007
241201
241202
241204
241402
241404
241406
241501
241503
241601
241604
241802
250101
250201
250301
250504
250601
250603
250604
250701
250801
250802
250901
250904
251001
251002
251003
251005
251006
251101
251501
251503
251601
251602
251603
251604
251605
251606
251607
251608
251610
251701
251702
251705
251706
260201
260203
260204
260207
260401
260404
260405
260406
260408
260410
260411
260501
260502
260503
260505
260901
261201
261302
261401
261402
261403
261404
261503
261701
261702
261704
261705
261801
261804
261806
261807
262205
270301
270704
271401
271601
271602
271603
272101
280101
280301
280401
280403
280404
280601
280602
280603
280604
280901
281006
281101
281201
281401
281701
282401
290101
290102
290401
290501
290702
290803
290901
291001
291002
291201
291202
291302
291307
291401
291502
291503
291601
300201
300401
301102
301204
301301
301401
301701
310102
310702
311501
312402
320803
321001
330101
330102
330301
330401
330403
330502
330802
330803
330804
330806
331402
331701
331801
340101
340303
340601
340602
340702
340704
340705
340706
340801
340804
341101
341202
341203
341204
341302
341303
341401
341402
341404
350101
350102
350201
350202
350302
350403
350404
350407
350501
350601
350804
350805
350902
351101
351201
351204
351301
351302
351403
351501
351502
351504
351601
351702
360101
360102
360201
360301
360501
360701
360801
360901
361001
361002
361101
361301
361305
361601
361701
370301
370401
370501
370806
370903
371401
371602
371801
380102
380301
380601
381001
381003
381101
381401
381803
381804
390102
390103
390304
391301
391304
391403
391501
391701
391704
400203
400304
400403
400501
400701
400803
401803
410301
410304
410501
410701
410706
411201
411302
411801
420202
420501
420601
420703
420902
421510
422001
422002
422201
430101
430505
430507
430602
430701
430805
431402
431501
440103
451204
451401
451703
453303
453305
470403
473906
490301
490908
491001
491003
491301
491302
491403
491501
491601
500101
500102
500105
500207
500501
500701
500703
500705
500707
500710
501002
501005
501008
501101
501401
501501
501601
501701
501707
502001
502101
502102
502108
502109
510101
510404
510602
510801
511101
511204
511302
During the past 12 months, has any member of your household
During the past 12 months, has any member of your household
During the past 12 months, has any member of your household
During the past 12 months, has any member of your household
During the past 12 months, has any member of your household
8265
82
1
YES
2
NO
9
DK
Sysmiss
In how many of the past 12 months have members of your house
In how many of the past 12 months have members of your house
In how many of the past 12 months have members of your house
In how many of the past 12 months have members of your house
In how many of the past 12 months have members of your house
642
7705
25
5.146
3.861
TIMES
TIMES
TIMES
TIMES
TIMES
642
7705
52
2.005
3.223
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
638
7709
3
DAY
4
WEEK
5
MONTH
6
YEAR
9
DK
Sysmiss
And how much money did they usually receive each time
And how much money did they usually receive each time
And how much money did they usually receive each time
And how much money did they usually receive each time
And how much money did they usually receive each time
642
7705
999999999999
3115274098.595
55771002608.669
In order to make ...[ ]... did they have to spend for e.g. t
In order to make ...[ ]... did they have to spend for e.g. t
In order to make ...[ ]... did they have to spend for e.g. t
In order to make ...[ ]... did they have to spend for e.g. t
In order to make ...[ ]... did they have to spend for e.g. t
642
7705
1
YES
2
NO
9
DK
Sysmiss
How much were those expenses in total in the past 12 months?
How much were those expenses in total in the past 12 months?
How much were those expenses in total in the past 12 months?
How much were those expenses in total in the past 12 months?
How much were those expenses in total in the past 12 months?
481
7866
1
999999999999
4158012239.146
64415383116.075
8347
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
8347
1
27432
How many of the following tools are owned by members of your
How many of the following tools are owned by members of your
How many of the following tools are owned by members of your
How many of the following tools are owned by members of your
How many of the following tools are owned by members of your
27432
99999
120.98
3466.323
For how much could you sell all these tools today?
For how much could you sell all these tools today?
For how much could you sell all these tools today?
For how much could you sell all these tools today?
For how much could you sell all these tools today?
27373
59
999999999999
1095971324.359
33087902995.996
27432
01
02
03
04
05
06
07
08
09
10
11
12
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
20064
7368
1
Sysmiss
13632
During the past 12 months (since...) has any member of the h
During the past 12 months (since...) has any member of the h
During the past 12 months (since...) has any member of the h
During the past 12 months (since...) has any member of the h
During the past 12 months (since...) has any member of the h
13628
4
1
YES
2
NO
9
DK
Sysmiss
Does any member or your household still own a ..[ ].. now?
Does any member or your household still own a ..[ ].. now?
Does any member or your household still own a ..[ ].. now?
Does any member or your household still own a ..[ ].. now?
Does any member or your household still own a ..[ ].. now?
1147
12485
1
YES
2
NO
9
DK
Sysmiss
How many ..[ ].. do the members of your household own altoge
How many ..[ ].. do the members of your household own altoge
How many ..[ ].. do the members of your household own altoge
How many ..[ ].. do the members of your household own altoge
How many ..[ ].. do the members of your household own altoge
1142
12490
9999
11.965
295.836
For how much money could they sell all these ..[ ].. today?
For how much money could they sell all these ..[ ].. today?
For how much money could they sell all these ..[ ].. today?
For how much money could they sell all these ..[ ].. today?
For how much money could they sell all these ..[ ].. today?
1141
12491
999999999999
5258568581.87
72356624400.408
How much money did your household earn for leasing ..[ ].. d
How much money did your household earn for leasing ..[ ].. d
How much money did your household earn for leasing ..[ ].. d
How much money did your household earn for leasing ..[ ].. d
How much money did your household earn for leasing ..[ ].. d
1145
12487
999999999999
2620088811.196
51142025343.525
13632
1
2
3
4
5
6
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
10008
3624
1
Sysmiss
18132
During the past 12 months, has any member of the household r
During the past 12 months, has any member of the household r
During the past 12 months, has any member of the household r
During the past 12 months, has any member of the household r
During the past 12 months, has any member of the household r
18131
1
1
YES
2
NO
9
DK
Sysmiss
Do any members of your household own or are they raising ...
Do any members of your household own or are they raising ...
Do any members of your household own or are they raising ...
Do any members of your household own or are they raising ...
Do any members of your household own or are they raising ...
2742
15390
1
YES
2
NO
9
DK
Sysmiss
How many ...[ ]... of all ages are owned by your household a
How many ...[ ]... of all ages are owned by your household a
How many ...[ ]... of all ages are owned by your household a
How many ...[ ]... of all ages are owned by your household a
How many ...[ ]... of all ages are owned by your household a
2595
15537
99999
46.806
1967.754
If your household wanted to sell all of these ...[ ]... toda
If your household wanted to sell all of these ...[ ]... toda
If your household wanted to sell all of these ...[ ]... toda
If your household wanted to sell all of these ...[ ]... toda
If your household wanted to sell all of these ...[ ]... toda
2595
15537
999999999999
3082874100.501
55448465406.323
How much has your household received from selling ...[ ]...
How much has your household received from selling ...[ ]...
How much has your household received from selling ...[ ]...
How much has your household received from selling ...[ ]...
How much has your household received from selling ...[ ]...
2595
15537
999999999999
1541433691.279
39238286309.007
Did your household own any ...[ ]... 12 months ago?
Did your household own any ...[ ]... 12 months ago?
Did your household own any ...[ ]... 12 months ago?
Did your household own any ...[ ]... 12 months ago?
Did your household own any ...[ ]... 12 months ago?
2737
15395
1
YES
2
NO
4
6
7
8
9
DK
Sysmiss
How many of ...[ ]... all ages did your household own 12 mon
How many of ...[ ]... all ages did your household own 12 mon
How many of ...[ ]... all ages did your household own 12 mon
How many of ...[ ]... all ages did your household own 12 mon
How many of ...[ ]... all ages did your household own 12 mon
2314
15818
99999
353.071
5870.428
What is the value of ...[]...meat that was consumed by your
What is the value of ...[]...meat that was consumed by your
What is the value of ...[]...meat that was consumed by your
What is the value of ...[]...meat that was consumed by your
What is the value of ...[]...meat that was consumed by your
2737
15395
999999999
7675521.997
87272583.653
How many ...[ ]... raised by your household lost, stolen, di
How many ...[ ]... raised by your household lost, stolen, di
How many ...[ ]... raised by your household lost, stolen, di
How many ...[ ]... raised by your household lost, stolen, di
How many ...[ ]... raised by your household lost, stolen, di
2737
15395
99999
555.146
6311.922
18132
1
2
3
4
5
6
7
8
9
10
11
12
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
13260
4872
1
Sysmiss
1974
010205
010801
012001
012002
020401
020801
021101
021103
021207
021208
021301
021401
021801
030502
040502
040801
040901
041003
041201
041203
041603
050303
051402
051503
051602
060103
060601
061101
070101
070201
070309
070313
070504
070902
071007
071602
071603
071605
071704
080101
080102
080201
080205
081301
090602
091801
091901
100304
100401
100501
101201
101204
110104
110702
111201
120104
120107
120201
120701
120801
120805
121301
121501
130102
130901
131004
131102
131501
131701
131801
132105
140202
140302
140506
140601
141203
141301
141601
150404
150501
150802
151102
151201
151304
151501
151602
151801
151805
151901
152101
160901
161003
161602
170401
171101
171201
171501
172503
180501
181301
190504
190601
190603
190910
191104
191201
191301
191703
200701
201603
201704
210304
211101
211102
211103
211502
211704
220501
220505
220703
220802
221001
221503
221504
221601
230902
230903
231003
231201
232203
232304
240102
240401
240403
240405
240501
240602
240705
241001
241003
241005
241007
241204
241403
241408
241503
250101
250201
250301
250501
250801
250904
251001
251005
251006
251101
251102
251503
251604
251608
251706
251806
251807
260201
260301
260901
261404
261503
261702
270201
270301
270501
270503
270703
270705
270901
271001
271401
271404
271501
271601
271602
271603
271801
271802
272001
272101
280305
280401
280403
280501
280604
280701
281401
281701
282401
290702
290801
291401
291502
300501
301101
301203
301401
301501
301602
301603
310101
310102
310706
310802
310808
310901
320702
320708
330101
330502
330802
330803
330901
340401
340504
340601
340702
340704
340705
340801
341101
341201
350202
350501
350602
350603
350702
350703
350803
351101
351303
351304
351401
351504
351702
360102
360301
361001
361002
361201
361206
361301
370501
380102
380401
380901
381003
381201
381301
381401
381703
391501
391701
400403
400404
400501
400708
401201
401202
420202
420501
420601
421002
421501
421902
421903
422002
423402
430507
431501
431803
440103
451005
453302
453304
460604
460607
470601
472505
481004
481303
481501
481608
490301
490909
491001
491003
491302
491403
500101
500103
500201
500203
500207
500301
500601
500701
500705
501001
501005
501101
501201
501401
501406
501501
501601
501603
501707
502001
502003
502101
502102
502105
502108
510206
510303
510404
510501
510602
511302
511601
511604
During the past 12 months have they sold any ..[ ].. obtaine
During the past 12 months have they sold any ..[ ].. obtaine
During the past 12 months have they sold any ..[ ].. obtaine
During the past 12 months have they sold any ..[ ].. obtaine
During the past 12 months have they sold any ..[ ].. obtaine
1968
6
1
2
Sysmiss
How much has your household received from the sale of ..[ ].
How much has your household received from the sale of ..[ ].
How much has your household received from the sale of ..[ ].
How much has your household received from the sale of ..[ ].
How much has your household received from the sale of ..[ ].
377
1597
100
999999999999
2652551779.971
51502618616.072
1974
1
2
3
4
5
6
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
1974
1
8848
In the past 12 months(since...) has a member of your househo
In the past 12 months(since...) has a member of your househo
In the past 12 months(since...) has a member of your househo
In the past 12 months(since...) has a member of your househo
In the past 12 months(since...) has a member of your househo
8847
1
1
YES
2
NO
9
DK
Sysmiss
How much money have all members of your household spent on .
How much money have all members of your household spent on .
How much money have all members of your household spent on .
How much money have all members of your household spent on .
How much money have all members of your household spent on .
1210
7638
40
999999999999
3305801225.707
57424577287.617
8848
1
2
3
4
5
6
7
8
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
8848
1
1651
1651
1
2
3
4
5
What different ...[REFER TO BUSINESS MENTIONED IN QUESTION 5
What different ...[REFER TO BUSINESS MENTIONED IN QUESTION 5
What different ...[REFER TO BUSINESS MENTIONED IN QUESTION 5
What different ...[REFER TO BUSINESS MENTIONED IN QUESTION 5
What different ...[REFER TO BUSINESS MENTIONED IN QUESTION 5
1634
99
ALCOH MAKER
ALCOHOL MAKER
ALCOHOL SELLER
ARCHTECTURE(BUILDING MAPS)
ART-DRAWING
ASECDO
ASECDO DRIVING
ASEKIDO
BAR
BAR BUSINESS
BARBER
BARBERING
BASKET WEAVING
BATTERY CHARGING MACHINE
BEDSHEET KNITING
BICYCLE MECHANICS
BICYCLE REPAIR
BICYCLE REPAIRER
BICYCLE REPAIRING/MAINTENANCE
BICYCLE RIDER
BICYCLE RIDING
BICYCLE TECHNICIAN
BICYCLE TRANSPOTATION
BITES/DOMESTIC ITEMS
BLACK SMITH
BODABODA
BREAKING STONES
BREW AND SALES OF BANANA BEER
BREWERING LOCAL BANANA BEER
BREWING AND SELLING LOCAL BEER
BREWING LOCAL BEER
BREWING LOCAL BREW
BRICK LAYER
BUILDING
BUSINESS CONSULTANT
BUSSINESS OF SHOES
BUTCHERY
BUY AND SELLING COFFEE
BUYING & SELLING ALCOHOL
BUYING & SELLING CHARCOAL
BUYING AND SELLING BANANA
BUYING AND SELLING BEANS
BUYING AND SELLING BEANS/MAIZE
BUYING AND SELLING CEREAL
BUYING AND SELLING CLOTHES
BUYING AND SELLING CROPS
BUYING AND SELLING FISH
BUYING AND SELLING FRUITS
BUYING AND SELLING GOATS
BUYING AND SELLING LOCAL BREW
BUYING AND SELLING MAIZE
BUYING AND SELLING RICE
BUYING AND SELLING SARDINE
BUYING AND SELLING SORGHUM
BUYING COFFEE
BUYING&SELLING BANANA&PAN CAKE
BUYING/SELLING CASH CROPS
BUYING/SELLING RICE,MAIZE,VEGETABLES
BUYING/SELLING RICE/MAIZE/VEGETABLES
BUYYING AND SELLING MAIZE
CAFE
CAFÉ
CALL BOX SERVICES
CAR ELECTRICIAN
CAR WASH
CARPENTRY
CART
CHANGING MONEY
CHARCOAL STOVE MAKING
COBBLER
COBRA
COFFEE MATES
COFFEE/WATER SALES
COLLECTING STONES
CONSTRUCTION
COSMETICS SHOP
CRACKING STONES
CUTS AND SALES TIMBER
CUTTING AND SELLING GRASS
CUTTING GRASS
CUTTING TIMBER
DEALER IN ELECTRONIC ITEMS
DIGGING AND SELLING(QUARRY WORK)
DOCTOR OF VETERNARY
DRILLING AND SELLING SAND
DRINKS AND CIGARATE
DRIVER
DRY CLEANER
ELECTRICIAN
FETCHING WATER
FISHING
GENGE
GOLD MINER
GRINDER(SHARPENING MACHINE)
GRINDING GROUNDNUTS
GRINDING SPICES
GROCERY
GUEST HOUSE
HAIR CUTTING
HANDICRAFT
HAWKER
HERBALIST
HOTEL
HOTEL AND GUEST HOUSE
IRON SMITH
KIOSK
KNITTING
LOCAL BREW REFINING
LORRY TRANSPORTATION
LUMBERING
MAKING & SELLING ALCOHOL
MAKING AND SELLING LOCAL BREW
MAKING AND SELLING PAN CAKES
MAKING AND SELLING PANCAKES
MAKING AND SELLING POTS
MAKING BANNERS
MAKING BEE HIVES
MAKING BUNS
MAKING CANOES
MAKING DRUMS
MAKING MATS
MAKING VENTS
MAMA LISHE
MARCHINGER
MARKET AGENT
MARKET VENDER(SELLING COOKED FOOD)
MASON
MECHANDIZATION
MECHANICAL ENGINEERING
MENDING SHOES
MERCHANT
METAL SALES
MIDDLEMAN IN CROP SALES
MILLING MACHINE
MINING
MIXED ITEMS RETAIL TRADE
MOTORBIKES REPAIR
MUSIC SYSTEM
NETFISH RENTING
NURSING /MIDWIFE
NUSERY SCHOOL
OTHER NON FARM BUSINESS
PAINTER
PHARMACY
PHOTOGRAPHER
PICK UP CAR TRANSPORTATION
PLANTING
PLANTING AND SELLING TOMATOES
PLATING HAIR
PLUMBER
POOLS
PORTER
POSSES A SHOP
PRIVATE TEACHER(TUTION)
PROCESSING AND SELLING OIL
PRODUCE
PRODUCING AND SELLING CHARCOAL
PRODUCING TIMBER
PUBLIC TRANSPORT
PUNCTURE REPAIRER
QUARRY BUSINESS
RADIO REPAIR
RENTING BOATS
RETAILER
ROASTING MEAT
SALES AVOCADO
SALES FIRE WOOD
SALES OF AGGRIGATES
SALES OF BANANA
SALES OF BANANA JUICE &FRUITS
SALES OF BEVERAGES
SALES OF BRICKS
SALES OF DIESEL
SALES OF FRUITS
SALES OF FUEL
SALES OF GROUNDNUTS
SALES OF MILK
SALES OF SPARE(SHOP)
SALES OF STATIONARIES
SALES OF TIMBER
SALES OF TOMATOES
SALES PESTCIDES
SALES RICE
SALON
SALT,MATCHBOX,KELOSINE,COOKING
SAW MILLING
SAWING LOGS
SECOND HAND DRESSES
SEELING COOKING OIL
SELLING ALCOHOL
SELLING ANIMAL SKIN
SELLING BANANA
SELLING BANANA FOR ALCOHOL
SELLING BANANA IN THE MARKET
SELLING BANANA/POTATOES
SELLING BANANAS
SELLING BANANAS AND WOOD
SELLING BANS
SELLING BARAGALA
SELLING BATIKI
SELLING BEANS
SELLING BEER
SELLING BEVERAGES
SELLING BITES
SELLING BREADS
SELLING BREAKFAST
SELLING BRICKS
SELLING BUNS
SELLING CASH CROPS
SELLING CASSAVA
SELLING CASSAVA/BANANA
SELLING CELL PHONES
SELLING CEREALS
SELLING CHARCOAL
SELLING CHICKEN
SELLING CHIPS
SELLING CLOTHES
SELLING COFFEE
SELLING COFFEE (DRINKS)
SELLING COOKED FOOD
SELLING COOKING POTS
SELLING CORN
SELLING CORN AND COFFEE SEEDS
SELLING COWS
SELLING CROPS
SELLING DIESEL
SELLING DOMESTIC APPLIANCE
SELLING DRIED CASSAVA(UDAGA)
SELLING DRIED FISH
SELLING DRINKS
SELLING EARTHEN COOKING POT
SELLING EGGS
SELLING FARM PRODUCTS
SELLING FEMALE GARMENTS
SELLING FINGER MILLET
SELLING FIREWOOD
SELLING FISH
SELLING FISH AND SUGAR CANE
SELLING FLOUR
SELLING FOOD
SELLING FOOD CROPS
SELLING FOODS(FLOUR RICE SUGAR
SELLING FRUITS
SELLING FURNITURE WOODS
SELLING GOAT MEAT
SELLING GOATS
SELLING GOODS
SELLING GRASS
SELLING GROUNDNUTS
SELLING ICE CREAM
SELLING IN THE MARKET
SELLING KEROSINE
SELLING LOCAL BREW
SELLING LOCAL BREWS
SELLING LOCAL DRINK
SELLING LOCAL DRINKS
SELLING LOCAL MADE SHOES
SELLING MAIZE
SELLING MAIZE FLOUR
SELLING MATS
SELLING MEAT
SELLING MILK
SELLING MILK PRODUCTS
SELLING MILLET
SELLING MINERALS
SELLING OIL/RICE/SALT/SOAP
SELLING ONIONS
SELLING PALM
SELLING PALM OIL
SELLING PANCAKES
SELLING PESTICIDES
SELLING PIGS
SELLING PINEAPPLES
SELLING PORRIDGE
SELLING PRODUCTS
SELLING RADIO CASSETE COMPACT
SELLING RICE,MAIZE,BEANS
SELLING SALTS
SELLING SARDINES/BITTER TOMATO
SELLING SOAPS/BEANS/BETRIES
SELLING SODA/TOMATOES/ONIONS
SELLING SOFT DRINKS
SELLING SPAGHETTE
SELLING SPARE PARTS
SELLING SPICES
SELLING STONES MARBLE&SAND
SELLING SUGARCANE
SELLING TABLE MATS
SELLING TEA AND BEANS
SELLING TEA LEAVES
SELLING TIMBER
SELLING TOBACCO
SELLING TOMATOES
SELLING TOMATOES AND SARDINES
SELLING USED BED SHEETS
SELLING USED SPARE PARTS
SELLING VANILLA
SELLING VEGETABLES
SELLING VIGARA
SELLING VITENGE
SELLING VITENGE/SARDINE
SELLING VITUMBUA
SELLING WATER
SELLING WEAVING MATERIALS
SELLLING OF POLYBAGS
SELLONG CROPS
SELLONG FISH
SELLS FISH/POTATOES/CHARCOAL
SHOE REPAIR
SHOE SHINER
SHOP
SHOP & SELLING AT THE MARKET
SHOP(SPARE PARTS)
SHOP-HARDWARE
SMALL BUSSINESS
SMALL BUSSINESS ACTIVITIES
STALL
STREET VENDORS
STUFF SALES
TAILORING
TAX COLLECTER
TAXI DRIVING
TEACHER ( TUITION )
TEACHER (TUITION)
TRADER DOMESTIC ITEMS
TRADING ASSORTED GOODS
TRADITIONAL HEALER
TRANSPORTATION
TREE NURSERY
UNKNOWN
VIDEO SHOW
WATCH AND RADIO REPAIR
WATER VENDOR
WEARING DEALER
WEAVING FISHING ROPES
WELDING
WHOLE SALE AND RETAIL TRADE
WOOD MACHINARY
WORKSHOP
OFFICE USE
OFFICE USE
OFFICE USE
OFFICE USE
OFFICE USE
1622
29
1
99
11.954
11.315
ID CODE
ID CODE
ID CODE
ID CODE
ID CODE
1623
28
1
99
1.779
3.645
ID CODE
ID CODE
ID CODE
ID CODE
ID CODE
1622
29
1
25
1.667
1.429
IS THIS THE PERSON ACTUALLY INTERVIEWED?
IS THIS THE PERSON ACTUALLY INTERVIEWED?
IS THIS THE PERSON ACTUALLY INTERVIEWED?
IS THIS THE PERSON ACTUALLY INTERVIEWED?
IS THIS THE PERSON ACTUALLY INTERVIEWED?
1616
35
1
YES
2
NO
9
DK
Sysmiss
YEARS
YEARS
YEARS
YEARS
YEARS
1609
42
99
6.994
13.953
MONTHS
MONTHS
MONTHS
MONTHS
MONTHS
1576
75
99
6.577
20.552
How many months in the past 12 months has this business been
How many months in the past 12 months has this business been
How many months in the past 12 months has this business been
How many months in the past 12 months has this business been
How many months in the past 12 months has this business been
1608
43
99
8.766
8.201
During the past 12 months, have you hired anyone else form o
During the past 12 months, have you hired anyone else form o
During the past 12 months, have you hired anyone else form o
During the past 12 months, have you hired anyone else form o
During the past 12 months, have you hired anyone else form o
1605
46
1
YES
2
NO
9
DK
Sysmiss
FULL TIME
FULL TIME
FULL TIME
FULL TIME
FULL TIME
426
1225
9999
47.423
684.282
PART TIME
PART TIME
PART TIME
PART TIME
PART TIME
423
1228
9999
71.674
840.028
CASUAL
CASUAL
CASUAL
CASUAL
CASUAL
426
1225
20000
112.756
1219.142
TOTAL AMOUNT YEAR
TOTAL AMOUNT YEAR
TOTAL AMOUNT YEAR
TOTAL AMOUNT YEAR
TOTAL AMOUNT YEAR
291
1360
999999999999
17182262362.179
130173465558.954
After paying for expenses for this business, including hired
After paying for expenses for this business, including hired
After paying for expenses for this business, including hired
After paying for expenses for this business, including hired
After paying for expenses for this business, including hired
1050
601
999999999999
19047631263.67
136757518289.632
In the past 12 months, have any of these business' products
In the past 12 months, have any of these business' products
In the past 12 months, have any of these business' products
In the past 12 months, have any of these business' products
In the past 12 months, have any of these business' products
1050
601
1
YES
2
NO
9
DK
Sysmiss
What was the value of the products consumed or used by your
What was the value of the products consumed or used by your
What was the value of the products consumed or used by your
What was the value of the products consumed or used by your
What was the value of the products consumed or used by your
463
1188
80000
3249.546
6868.1
In the past 12 months, did you use part of the money you got
In the past 12 months, did you use part of the money you got
In the past 12 months, did you use part of the money you got
In the past 12 months, did you use part of the money you got
In the past 12 months, did you use part of the money you got
1048
603
1
YES
2
NO
9
DK
Sysmiss
AMOUNT
AMOUNT
AMOUNT
AMOUNT
AMOUNT
723
928
100
999999999999
19363766046.869
137895275310.784
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
722
929
1
3
DAY
4
WEEK
5
MONTH
6
YEAR
9
DK
Sysmiss
After making purchase for the business and after using some
After making purchase for the business and after using some
After making purchase for the business and after using some
After making purchase for the business and after using some
After making purchase for the business and after using some
1046
605
1
YES
2
NO
9
DK
Sysmiss
AMOUNT
AMOUNT
AMOUNT
AMOUNT
AMOUNT
635
1016
999999999999
1574811044.266
39683789192.81
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
628
1023
1
3
DAY
4
WEEK
5
MONTH
6
YEAR
9
DK
Sysmiss
Does your business own an inventory stock of goods not yet s
Does your business own an inventory stock of goods not yet s
Does your business own an inventory stock of goods not yet s
Does your business own an inventory stock of goods not yet s
Does your business own an inventory stock of goods not yet s
1049
602
1
YES
2
NO
9
DK
Sysmiss
How much could you sell all of these goods for today?
How much could you sell all of these goods for today?
How much could you sell all of these goods for today?
How much could you sell all of these goods for today?
How much could you sell all of these goods for today?
466
1185
100
999999999999
8583789432.588
92348852954.9
Did this business own any of the following in the last 12 mo
Did this business own any of the following in the last 12 mo
Did this business own any of the following in the last 12 mo
Did this business own any of the following in the last 12 mo
Did this business own any of the following in the last 12 mo
1601
50
1
YES
2
NO
9
DK
Sysmiss
Does this business currently own any ...[ ]...?
Does this business currently own any ...[ ]...?
Does this business currently own any ...[ ]...?
Does this business currently own any ...[ ]...?
Does this business currently own any ...[ ]...?
166
1485
1
YES
2
NO
9
DK
Sysmiss
If you wanted to sell, how much could you sell all the ...[]
If you wanted to sell, how much could you sell all the ...[]
If you wanted to sell, how much could you sell all the ...[]
If you wanted to sell, how much could you sell all the ...[]
If you wanted to sell, how much could you sell all the ...[]
136
1515
2000
999999999999
29414668733.794
169581834261.104
Did this business own any of the following in the last 12 mo
Did this business own any of the following in the last 12 mo
Did this business own any of the following in the last 12 mo
Did this business own any of the following in the last 12 mo
Did this business own any of the following in the last 12 mo
1600
51
1
YES
2
NO
9
DK
Sysmiss
Does this business currently own any ...[ ]...?
Does this business currently own any ...[ ]...?
Does this business currently own any ...[ ]...?
Does this business currently own any ...[ ]...?
Does this business currently own any ...[ ]...?
123
1528
1
YES
2
NO
9
DK
Sysmiss
If you wanted to sell, how much could you sell all the ...[]
If you wanted to sell, how much could you sell all the ...[]
If you wanted to sell, how much could you sell all the ...[]
If you wanted to sell, how much could you sell all the ...[]
If you wanted to sell, how much could you sell all the ...[]
98
1553
3000
999999999999
10204698010.194
101015191567.346
Did this business own any of the following in the last 12 mo
Did this business own any of the following in the last 12 mo
Did this business own any of the following in the last 12 mo
Did this business own any of the following in the last 12 mo
Did this business own any of the following in the last 12 mo
1600
51
1
YES
2
NO
9
DK
Sysmiss
Does this business currently own any ...[ ]...?
Does this business currently own any ...[ ]...?
Does this business currently own any ...[ ]...?
Does this business currently own any ...[ ]...?
Does this business currently own any ...[ ]...?
834
817
1
YES
2
NO
9
DK
8000000
Sysmiss
If you wanted to sell, how much could you sell all the ...[]
If you wanted to sell, how much could you sell all the ...[]
If you wanted to sell, how much could you sell all the ...[]
If you wanted to sell, how much could you sell all the ...[]
If you wanted to sell, how much could you sell all the ...[]
808
843
20
999999999999
12376306983.552
110626447787.035
Did this business own any of the following in the last 12 mo
Did this business own any of the following in the last 12 mo
Did this business own any of the following in the last 12 mo
Did this business own any of the following in the last 12 mo
Did this business own any of the following in the last 12 mo
1600
51
1
YES
2
NO
9
DK
Sysmiss
Does this business currently own any ...[ ]...?
Does this business currently own any ...[ ]...?
Does this business currently own any ...[ ]...?
Does this business currently own any ...[ ]...?
Does this business currently own any ...[ ]...?
417
1234
1
YES
2
NO
9
DK
Sysmiss
If you wanted to sell, how much could you sell all the ...[]
If you wanted to sell, how much could you sell all the ...[]
If you wanted to sell, how much could you sell all the ...[]
If you wanted to sell, how much could you sell all the ...[]
If you wanted to sell, how much could you sell all the ...[]
387
1264
100
999999999999
7752056177.589
87816687854.393
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
1084
567
1
Sysmiss
2996
2996
1
2
3
4
5
Main construction material of outside walls
Main construction material of outside walls
Main construction material of outside walls
Main construction material of outside walls
Main construction material of outside walls
2996
1
MUD BRICK
2
BAMBOO TREE
3
GALVANISED IRON
4
WOODEN PLANKS
5
STONE/BRICK
6
CEMENT
7
OTHER (SPECIFY)
9
DK
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
1475
BANANA FIBRE
BANANA LEAVES
BUILT OF MUDDY
CEMENT AND MUD
CEMENT BRICKS
EARTH
GRASS
LOCAL CONSTRUCTION
MUD
MUD BRICKS
MUD WALLS
MUDDY
MUDWALLS
PAINTED
POLES AND BANANA FIBRE
SAND
SCREENS
STICKS
THATCH
TIMBER
VEHICLE BOARD
Main flooring material
Main flooring material
Main flooring material
Main flooring material
Main flooring material
2996
1
EARTH
2
WOOD
3
STONE
4
CEMENT
5
TILE
6
BAMBOO
7
OTHER (SPECIFY)
9
DK
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
3
CEMENT AND STONE
EARTH CEMENT
VEHICLE BOARD
Main roofing material
Main roofing material
Main roofing material
Main roofing material
Main roofing material
2996
1
GRASS
2
MUD
3
WOOD/PLANKS
4
GALVANIZED/IRON
5
CONCRETE/CEMENT
6
TILES
7
ASBESTOS
8
OTHER (SPECIFY)
9
DK
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
85
BANANA FIBER
BANANA FIBERS
BANANA FIBRE
BANANA FIBRES
BANANA LEAVES
BANANA THRASHES
GRASS
LOCAL ROOFING
PLASTIC SHEETS
TIN SHEETS
VEHICLE BOARD
Most windows are fitted with (check the first that applies)
Most windows are fitted with (check the first that applies)
Most windows are fitted with (check the first that applies)
Most windows are fitted with (check the first that applies)
Most windows are fitted with (check the first that applies)
2996
1
GLASS
2
SCREENS
3
SHUTTERS/LOUVERS
4
CURTAINS
5
NO COVER
6
NO WINDOWS
9
DK
Does this dwelling belong to a member of your household?
Does this dwelling belong to a member of your household?
Does this dwelling belong to a member of your household?
Does this dwelling belong to a member of your household?
Does this dwelling belong to a member of your household?
2996
1
YES
2
NO
9
DK
If you wanted to sell this dwelling today, how much would yo
If you wanted to sell this dwelling today, how much would yo
If you wanted to sell this dwelling today, how much would yo
If you wanted to sell this dwelling today, how much would yo
If you wanted to sell this dwelling today, how much would yo
2417
579
1000
999999999999
12826894090.182
112545673128.075
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
2004
992
1
Sysmiss
40545
Does any member of your household have ...[ ]...?
Does any member of your household have ...[ ]...?
Does any member of your household have ...[ ]...?
Does any member of your household have ...[ ]...?
Does any member of your household have ...[ ]...?
40544
1
1
YES
2
NO
9
DK
Sysmiss
If you wanted to sell this ...[ ]... today, how much would y
If you wanted to sell this ...[ ]... today, how much would y
If you wanted to sell this ...[ ]... today, how much would y
If you wanted to sell this ...[ ]... today, how much would y
If you wanted to sell this ...[ ]... today, how much would y
7769
32776
999999999999
11584605094.649
107012959355.339
40545
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
26415
14130
1
Sysmiss
48600
In the past 12 months, have any members of your household pu
In the past 12 months, have any members of your household pu
In the past 12 months, have any members of your household pu
In the past 12 months, have any members of your household pu
In the past 12 months, have any members of your household pu
48596
4
1
YES
2
NO
9
DK
Sysmiss
How much did the members of your household spend on ...[ ]..
How much did the members of your household spend on ...[ ]..
How much did the members of your household spend on ...[ ]..
How much did the members of your household spend on ...[ ]..
How much did the members of your household spend on ...[ ]..
11498
37102
999999999999
7218664686.756
84659086583.177
48600
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
31680
16920
1
Sysmiss
16194
In the last (two weeks), have you or anyone in your househol
In the last (two weeks), have you or anyone in your househol
In the last (two weeks), have you or anyone in your househol
In the last (two weeks), have you or anyone in your househol
In the last (two weeks), have you or anyone in your househol
16189
5
1
YES
2
NO
9
DK
Sysmiss
How much have you or anyone in your household spent for ...[
How much have you or anyone in your household spent for ...[
How much have you or anyone in your household spent for ...[
How much have you or anyone in your household spent for ...[
How much have you or anyone in your household spent for ...[
7473
8721
10
999999999999
3077747729.574
55395709756.389
16194
1
2
3
5
6
7
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
10554
5640
1
Sysmiss
3077
Was [NAME]'S death associated with any inheritance?
Was [NAME]'S death associated with any inheritance?
Was [NAME]'S death associated with any inheritance?
Was [NAME]'S death associated with any inheritance?
Was [NAME]'S death associated with any inheritance?
3076
1
1
YES
2
NO
9
DK
Sysmiss
CASH
CASH
CASH
CASH
CASH
633
2444
999999999999
9478679843.434
96972590736.196
IN-KIND
IN-KIND
IN-KIND
IN-KIND
IN-KIND
633
2444
999999999999
9478848518.474
96972574244.315
LAND
LAND
LAND
LAND
LAND
633
2444
999999999999
11059469500.782
104658702925.101
3077
1
2
3
4
5
6
7
8
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
1940
1137
1
Sysmiss
3077
1
51
26.317
14.788
3077
1
44
11.296
7.153
3077
1
99
5.396
5.651
388
010601
010701
011101
011203
011303
011401
011601
012002
020205
020501
020703
021101
021103
021206
021801
021806
040501
040502
040701
041201
041304
041501
041701
050301
050303
051201
051206
060601
061102
061201
061809
062203
070107
070303
070308
070804
070903
071001
071006
071203
071301
071404
071601
080201
080402
080803
080901
081301
091002
091501
100201
100501
100703
101201
101602
110401
110701
110902
111601
112301
112305
120404
120701
120801
120805
130301
130701
131001
131002
131405
131601
131701
131902
132101
140201
140202
140506
140901
141601
141701
150401
150404
150705
150901
151501
151605
152004
152101
160301
160501
161002
161801
161804
170501
170701
172501
180301
180402
180404
181208
181501
181607
190201
190601
190701
190911
191201
191703
200103
200203
200701
200901
201605
201702
210102
210304
210308
210903
210904
211101
211102
211301
211401
211502
220603
221001
221002
221101
221501
221503
221701
230901
230903
231005
231401
240401
240701
241401
241404
241408
241501
241801
250202
250301
250701
250901
251001
251101
251601
251605
251701
251801
251806
251808
260201
260301
260501
261701
261801
261807
270902
271401
271601
281101
291201
300201
300401
301101
301601
301801
310401
310701
310705
310706
311201
311501
312402
320701
320716
321308
321405
321805
322312
330103
330402
330701
330801
331401
331701
340401
340601
340703
340801
341005
341101
341201
341701
350101
350201
350301
350601
350605
350702
351001
351101
351205
351301
351501
360201
360901
361201
361206
361301
361801
361802
370501
371101
371301
380407
380601
380901
381001
381003
381204
381801
381802
381803
390102
390103
391101
391102
391304
391701
400403
400701
400708
401501
410101
410301
410304
410601
411002
411101
411301
411303
420101
420102
420501
420902
420903
421302
421501
423501
423503
430506
430902
431001
431501
431801
451001
451204
453001
453305
454401
461701
462408
470203
473501
473701
473702
473703
480603
481301
490801
490904
490905
490909
491001
491403
500201
500501
500601
500701
500709
501008
501101
501401
501404
501406
501801
502001
502003
502006
510101
510301
510404
510801
511102
511103
511301
Was this bride price associated with anyone you previously l
Was this bride price associated with anyone you previously l
Was this bride price associated with anyone you previously l
Was this bride price associated with anyone you previously l
Was this bride price associated with anyone you previously l
388
1
NAME LISTED
2
NAME NOT LISTED
9
WRITE THE ID CODE FROM NETWORK ROSTER CARD
WRITE THE ID CODE FROM NETWORK ROSTER CARD
WRITE THE ID CODE FROM NETWORK ROSTER CARD
WRITE THE ID CODE FROM NETWORK ROSTER CARD
WRITE THE ID CODE FROM NETWORK ROSTER CARD
233
155
1
99
5.305
6.829
In what year was this received?
In what year was this received?
In what year was this received?
In what year was this received?
In what year was this received?
386
2
9999
2175.394
1218.884
CASH
CASH
CASH
CASH
CASH
387
1
999999999999
10335959234.873
101269864620.332
IN-KIND
IN-KIND
IN-KIND
IN-KIND
IN-KIND
387
1
999999999999
7751956716.013
87816696655.794
LAND
LAND
LAND
LAND
LAND
384
4
999999999999
7812839791.669
88157236664.041
388
1
2
3
4
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
348
40
1
Sysmiss
60588
INTERVIEWER: REFER BACK TO THE SECTION 9, PART B. BELOW, PUT
INTERVIEWER: REFER BACK TO THE SECTION 9, PART B. BELOW, PUT
INTERVIEWER: REFER BACK TO THE SECTION 9, PART B. BELOW, PUT
INTERVIEWER: REFER BACK TO THE SECTION 9, PART B. BELOW, PUT
INTERVIEWER: REFER BACK TO THE SECTION 9, PART B. BELOW, PUT
60578
10
1
YES
2
NO
9
DK
Sysmiss
During the past 12 months, have the members of your househol
During the past 12 months, have the members of your househol
During the past 12 months, have the members of your househol
During the past 12 months, have the members of your househol
During the past 12 months, have the members of your househol
22593
37995
1
YES
2
NO
9
DK
Sysmiss
JAN
JAN
JAN
JAN
JAN
19267
41321
1
YES (CONSUMED OWN PRODUCT)
2
NO (DID NOT CONSUME FROM OWN PRODUCTION)
9
Sysmiss
FEB
FEB
FEB
FEB
FEB
19268
41320
1
YES (CONSUMED OWN PRODUCT)
2
NO (DID NOT CONSUME FROM OWN PRODUCTION)
3
9
Sysmiss
MAR
MAR
MAR
MAR
MAR
19272
41316
1
YES (CONSUMED OWN PRODUCT)
2
NO (DID NOT CONSUME FROM OWN PRODUCTION)
9
Sysmiss
APR
APR
APR
APR
APR
19272
41316
1
YES (CONSUMED OWN PRODUCT)
2
NO (DID NOT CONSUME FROM OWN PRODUCTION)
9
Sysmiss
MAY
MAY
MAY
MAY
MAY
19272
41316
1
YES (CONSUMED OWN PRODUCT)
2
NO (DID NOT CONSUME FROM OWN PRODUCTION)
9
Sysmiss
JUN
JUN
JUN
JUN
JUN
19267
41321
1
YES (CONSUMED OWN PRODUCT)
2
NO (DID NOT CONSUME FROM OWN PRODUCTION)
9
Sysmiss
JUL
JUL
JUL
JUL
JUL
19267
41321
1
YES (CONSUMED OWN PRODUCT)
2
NO (DID NOT CONSUME FROM OWN PRODUCTION)
9
Sysmiss
AUG
AUG
AUG
AUG
AUG
19266
41322
1
YES (CONSUMED OWN PRODUCT)
2
NO (DID NOT CONSUME FROM OWN PRODUCTION)
9
Sysmiss
SEPT
SEPT
SEPT
SEPT
SEPT
19266
41322
1
YES (CONSUMED OWN PRODUCT)
2
NO (DID NOT CONSUME FROM OWN PRODUCTION)
9
Sysmiss
OCT
OCT
OCT
OCT
OCT
19266
41322
1
YES (CONSUMED OWN PRODUCT)
2
NO (DID NOT CONSUME FROM OWN PRODUCTION)
9
Sysmiss
NOV
NOV
NOV
NOV
NOV
19265
41323
1
YES (CONSUMED OWN PRODUCT)
2
NO (DID NOT CONSUME FROM OWN PRODUCTION)
9
Sysmiss
DEC
DEC
DEC
DEC
DEC
19256
41332
1
YES (CONSUMED OWN PRODUCT)
2
NO (DID NOT CONSUME FROM OWN PRODUCTION)
9
Sysmiss
TIMES
TIMES
TIMES
TIMES
TIMES
19254
41334
9999
16.501
374.096
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
18410
42178
1
2
3
DAY
4
WEEK
5
MONTH
6
YEAR
7
9
DK
Sysmiss
How much would it have cost to buy the amount they ate each
How much would it have cost to buy the amount they ate each
How much would it have cost to buy the amount they ate each
How much would it have cost to buy the amount they ate each
How much would it have cost to buy the amount they ate each
18402
42186
999999999999
2064993256.162
45396483657.207
TIMES
TIMES
TIMES
TIMES
TIMES
19252
41336
9999
18.046
400.851
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
14158
46430
1
2
3
DAY
4
WEEK
5
MONTH
6
YEAR
7
9
DK
Sysmiss
How much would it have cost to buy the amount they ate each
How much would it have cost to buy the amount they ate each
How much would it have cost to buy the amount they ate each
How much would it have cost to buy the amount they ate each
How much would it have cost to buy the amount they ate each
14124
46464
999999999999
3256868033.039
56977981797.883
60588
1
27
14
7.789
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
44604
15984
1
Sysmiss
107640
During the past 12 months (since...) have the members of you
During the past 12 months (since...) have the members of you
During the past 12 months (since...) have the members of you
During the past 12 months (since...) have the members of you
During the past 12 months (since...) have the members of you
107619
21
1
YES
2
NO
9
DK
Sysmiss
JAN
JAN
JAN
JAN
JAN
30890
76750
1
YES (BOUGHT)
2
NO (DID NOT BUY)
9
Sysmiss
FEB
FEB
FEB
FEB
FEB
30921
76719
1
YES (BOUGHT)
2
NO (DID NOT BUY)
9
Sysmiss
MAR
MAR
MAR
MAR
MAR
30932
76708
1
YES (BOUGHT)
2
NO (DID NOT BUY)
9
Sysmiss
APR
APR
APR
APR
APR
30934
76706
1
YES (BOUGHT)
2
NO (DID NOT BUY)
9
Sysmiss
MAY
MAY
MAY
MAY
MAY
30934
76706
1
YES (BOUGHT)
2
NO (DID NOT BUY)
9
Sysmiss
JUN
JUN
JUN
JUN
JUN
30928
76712
1
YES (BOUGHT)
2
NO (DID NOT BUY)
9
Sysmiss
JUL
JUL
JUL
JUL
JUL
30910
76730
1
YES (BOUGHT)
2
NO (DID NOT BUY)
9
Sysmiss
AUG
AUG
AUG
AUG
AUG
30889
76751
1
YES (BOUGHT)
2
NO (DID NOT BUY)
9
Sysmiss
SEPT
SEPT
SEPT
SEPT
SEPT
30888
76752
1
YES (BOUGHT)
2
NO (DID NOT BUY)
9
Sysmiss
OCT
OCT
OCT
OCT
OCT
30887
76753
1
YES (BOUGHT)
2
NO (DID NOT BUY)
9
Sysmiss
NOV
NOV
NOV
NOV
NOV
30884
76756
1
YES (BOUGHT)
2
NO (DID NOT BUY)
9
Sysmiss
DEC
DEC
DEC
DEC
DEC
30888
76752
1
YES (BOUGHT)
2
NO (DID NOT BUY)
9
Sysmiss
TIMES
TIMES
TIMES
TIMES
TIMES
30931
76709
9999
17.22
393.53
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
29809
77831
2
3
DAY
4
WEEK
5
MONTH
6
YEAR
7
9
DK
Sysmiss
How much did it cost to buy the amount each time during the
How much did it cost to buy the amount each time during the
How much did it cost to buy the amount each time during the
How much did it cost to buy the amount each time during the
How much did it cost to buy the amount each time during the
29784
77856
999999999999
2320038261.415
48080254634.785
TIMES
TIMES
TIMES
TIMES
TIMES
30914
76726
9999
13.742
350.309
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
25085
82555
2
3
DAY
4
WEEK
5
MONTH
6
YEAR
7
8
9
DK
Sysmiss
How much did it cost to buy this amount each time during the
How much did it cost to buy this amount each time during the
How much did it cost to buy this amount each time during the
How much did it cost to buy this amount each time during the
How much did it cost to buy this amount each time during the
25045
82595
999999999999
2295912440.206
47757194972.573
107640
1
40
20.5
11.543
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
70200
37440
1
Sysmiss
48438
During the past 12 months (since...) have the members of you
During the past 12 months (since...) have the members of you
During the past 12 months (since...) have the members of you
During the past 12 months (since...) have the members of you
During the past 12 months (since...) have the members of you
48434
4
1
YES
2
NO
9
DK
Sysmiss
JAN
JAN
JAN
JAN
JAN
12008
36430
1
YES (BOUGHT)
2
NO (DID NOT BUY)
9
Sysmiss
FEB
FEB
FEB
FEB
FEB
12009
36429
1
YES (BOUGHT)
2
NO (DID NOT BUY)
9
Sysmiss
MAR
MAR
MAR
MAR
MAR
12012
36426
1
YES (BOUGHT)
2
NO (DID NOT BUY)
9
Sysmiss
APR
APR
APR
APR
APR
12014
36424
1
YES (BOUGHT)
2
NO (DID NOT BUY)
9
Sysmiss
MAY
MAY
MAY
MAY
MAY
12014
36424
1
YES (BOUGHT)
2
NO (DID NOT BUY)
9
Sysmiss
JUN
JUN
JUN
JUN
JUN
12015
36423
1
YES (BOUGHT)
2
NO (DID NOT BUY)
9
Sysmiss
JUL
JUL
JUL
JUL
JUL
12008
36430
1
YES (BOUGHT)
2
NO (DID NOT BUY)
9
Sysmiss
AUG
AUG
AUG
AUG
AUG
11999
36439
1
YES (BOUGHT)
2
NO (DID NOT BUY)
9
Sysmiss
SEPT
SEPT
SEPT
SEPT
SEPT
11998
36440
1
YES (BOUGHT)
2
NO (DID NOT BUY)
9
Sysmiss
OCT
OCT
OCT
OCT
OCT
11998
36440
1
YES (BOUGHT)
2
NO (DID NOT BUY)
9
Sysmiss
NOV
NOV
NOV
NOV
NOV
11996
36442
1
YES (BOUGHT)
2
NO (DID NOT BUY)
9
Sysmiss
DEC
DEC
DEC
DEC
DEC
12006
36432
1
YES (BOUGHT)
2
NO (DID NOT BUY)
9
Sysmiss
TIMES
TIMES
TIMES
TIMES
TIMES
12025
36413
9999
4.848
182.319
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
12020
36418
3
DAY
4
WEEK
5
MONTH
6
YEAR
7
8
9
DK
Sysmiss
How much did it cost to buy this amount each time?
How much did it cost to buy this amount each time?
How much did it cost to buy this amount each time?
How much did it cost to buy this amount each time?
How much did it cost to buy this amount each time?
12019
36419
999999999999
1331226287.034
36463187161.177
48438
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
31590
16848
1
Sysmiss
2327
2327
1
2
3
4
5
How many individuals in the household are members of [NAME G
How many individuals in the household are members of [NAME G
How many individuals in the household are members of [NAME G
How many individuals in the household are members of [NAME G
How many individuals in the household are members of [NAME G
2320
7
1
9999
114.196
850.755
ID1
ID1
ID1
ID1
ID1
2319
8
1
99
1.847
5.105
ID2
ID2
ID2
ID2
ID2
179
2148
1
99
5.777
17.484
ID3
ID3
ID3
ID3
ID3
14
2313
1
99
45.429
48.223
Does this groep provide insurance/help in case of funeral?
Does this groep provide insurance/help in case of funeral?
Does this groep provide insurance/help in case of funeral?
Does this groep provide insurance/help in case of funeral?
Does this groep provide insurance/help in case of funeral?
2319
8
1
YES
2
NO
9
DK
Sysmiss
Cash TSHS
Cash TSHS
Cash TSHS
Cash TSHS
Cash TSHS
2274
53
999999999999
2638530679.92
51310021740.534
In Kind TSHS
In Kind TSHS
In Kind TSHS
In Kind TSHS
In Kind TSHS
2275
52
999999999999
2637390083.188
51298767452.428
Labour MANDAYS
Labour MANDAYS
Labour MANDAYS
Labour MANDAYS
Labour MANDAYS
2274
53
999
37.422
80.856
Does this group provide insurance/help in case of illness?
Does this group provide insurance/help in case of illness?
Does this group provide insurance/help in case of illness?
Does this group provide insurance/help in case of illness?
Does this group provide insurance/help in case of illness?
2317
10
1
YES
2
NO
9
DK
99
Sysmiss
Cash TSHS
Cash TSHS
Cash TSHS
Cash TSHS
Cash TSHS
1178
1149
999999999999
3395590678.256
58197344063.17
In Kind TSHS
In Kind TSHS
In Kind TSHS
In Kind TSHS
In Kind TSHS
1179
1148
999999999999
3392708218.817
58172721255.576
Labour MANDAYS
Labour MANDAYS
Labour MANDAYS
Labour MANDAYS
Labour MANDAYS
1180
1147
999999999999
847457633.514
29111125486.764
Does this group provide insurance/help in case of other hard
Does this group provide insurance/help in case of other hard
Does this group provide insurance/help in case of other hard
Does this group provide insurance/help in case of other hard
Does this group provide insurance/help in case of other hard
2316
11
1
YES
2
NO
9
DK
Sysmiss
Which is the main other hardschip/event for which this group
Which is the main other hardschip/event for which this group
Which is the main other hardschip/event for which this group
Which is the main other hardschip/event for which this group
Which is the main other hardschip/event for which this group
1143
*****
12500 0 02
ACCIDENTS
ANY BIG PROBLEM
ANY PUBLIC CEREMONY
BAPTISM CEREMONIES
BEING SICK
BIRTH
BURNING OF HOUSE
BURNING OF HOUSES
BURNING OF THE HOUSE
BURNT HOUSE
CELEBRATION
CEREBRATION
CEREMONIES
CEREMONY
CHILD BIRTH
COMFORT
DK
FALLING OF HOUSES
FESTIVAL
FIRE ACCIDENT
FLOOD
FUNCTION OF 4 GUESTS
GIVING BIRTH
HARUSI
HELP IN FARM
HELPING IN BUSINESS
HELPING MEMBERS OF GROUP
HOUSE ABLAZE/WEDDING
HOUSE BURN
HOUSE BURNT
HOUSE ON FIRE
IF YOU HAVE GUESTS
IF YOUR HOUSE IS ON FIRE
IN CEREMON
IN CEREMONY
IN WEDDING CEREMONY
MARIAGE CEREMONIES
MARIAGE/SEND OFF PARTY
MARRIAGE
MARRIAGE CEREMONIES
MARRIAGE CEREMONY
MARRIAGE(WEDDING)
MARRIAGE/SEND OFF PARTIES
MARRIAGE/SEND-OFF PARTIES
MARRIAGE/SEND-OFF PARTY
MARRIAGE/WEDDING
PARTIES
PARTY
PAY SCHOOL FEE
ROSCA
SAVE IN FARMING
SEND OFF PARTY
SICKNESS OF LIVESTOCK
THEY PLANT CROPS FOR YOU
TO HELP EACH OTHER IN PRO
TRAGEDY
WEDDING
WEDDING CEREMONIES
WEDDING CEREMONY
WEDDING OF ONE OF THE MEMBERS
WEDDING&RELIGEUS CEREMONIES
WEDDING,HARDSHIP
WEDDING/BIRTH
WEDDING/BIRTH DAY
WEDDING/CELEBRATION
WEDDING/CEREBRATION
WEDDING/DELIVERY
WEDDING/FUNCTION
WEDDING/PARTIES
WEDDING/PARTY
WEDDING/SEND OF PARTY
WEDDING/SEND OFF
WEDDING/SEND OFF PARTIES
WEDDINGI
WEEDING
WHEN GETTING VISITORS
WHEN GIVE BIRTH
WHEN HOUSE BURN
WHEN THE HOUSE BURN
WHEN THE MEMBER GETS SICK
Cash TSHS
Cash TSHS
Cash TSHS
Cash TSHS
Cash TSHS
1142
1185
999999999999
5253952183.453
72325078150.434
In Kind TSHS
In Kind TSHS
In Kind TSHS
In Kind TSHS
In Kind TSHS
1143
1184
999999999999
3499573595.682
59079346904.72
Labour MANDAYS
Labour MANDAYS
Labour MANDAYS
Labour MANDAYS
Labour MANDAYS
1144
1183
999
20.934
73.579
Cash TSHS
Cash TSHS
Cash TSHS
Cash TSHS
Cash TSHS
2317
10
999999999999
6042300387.828
77513739754.058
In Kind TSHS
In Kind TSHS
In Kind TSHS
In Kind TSHS
In Kind TSHS
2316
11
999999999999
5181351024.109
71810356620.847
Labour MANDAYS
Labour MANDAYS
Labour MANDAYS
Labour MANDAYS
Labour MANDAYS
2316
11
999
13.024
85.304
Cash TSHS
Cash TSHS
Cash TSHS
Cash TSHS
Cash TSHS
2314
13
999999999999
4321524446.268
65610257503.468
In Kind TSHS
In Kind TSHS
In Kind TSHS
In Kind TSHS
In Kind TSHS
2313
14
999999999999
4323396248.301
65624383241.096
Labour MANDAYS
Labour MANDAYS
Labour MANDAYS
Labour MANDAYS
Labour MANDAYS
2313
14
999
13.018
78.379
Does this group possess any durable goods like cooking pots,
Does this group possess any durable goods like cooking pots,
Does this group possess any durable goods like cooking pots,
Does this group possess any durable goods like cooking pots,
Does this group possess any durable goods like cooking pots,
2320
7
1
YES
2
NO
9
DK
Sysmiss
What is the (approximate) total value of all these durable g
What is the (approximate) total value of all these durable g
What is the (approximate) total value of all these durable g
What is the (approximate) total value of all these durable g
What is the (approximate) total value of all these durable g
1026
1301
50
999999999999
9746655052.909
98290424742.062
Does this group operate a fund in cash or a stock in kind?
Does this group operate a fund in cash or a stock in kind?
Does this group operate a fund in cash or a stock in kind?
Does this group operate a fund in cash or a stock in kind?
Does this group operate a fund in cash or a stock in kind?
2313
14
1
YES A FUND IN CASH
2
YES A STOCK IN KIND
3
YES BOTH A STOCK AND A FUND
4
NO
9
DK
Sysmiss
A. TO MAKE TRANSFERS TO GROUP MEMEBERS WHO NEED ASSISTANCE (
A. TO MAKE TRANSFERS TO GROUP MEMEBERS WHO NEED ASSISTANCE (
A. TO MAKE TRANSFERS TO GROUP MEMEBERS WHO NEED ASSISTANCE (
A. TO MAKE TRANSFERS TO GROUP MEMEBERS WHO NEED ASSISTANCE (
A. TO MAKE TRANSFERS TO GROUP MEMEBERS WHO NEED ASSISTANCE (
1714
613
1
YES
2
NO
9
DK
Sysmiss
B. TO HELP GROUP MEMBERS save labeled\MONEY (SAVING)
B. TO HELP GROUP MEMBERS save labeled\MONEY (SAVING)
B. TO HELP GROUP MEMBERS save labeled\MONEY (SAVING)
B. TO HELP GROUP MEMBERS save labeled\MONEY (SAVING)
B. TO HELP GROUP MEMBERS save labeled\MONEY (SAVING)
1709
618
1
YES
2
NO
3
9
DK
Sysmiss
C. TO MAKE CREDIT AVAILABLE TO GROUP MEMBERS (CREDIT)
C. TO MAKE CREDIT AVAILABLE TO GROUP MEMBERS (CREDIT)
C. TO MAKE CREDIT AVAILABLE TO GROUP MEMBERS (CREDIT)
C. TO MAKE CREDIT AVAILABLE TO GROUP MEMBERS (CREDIT)
C. TO MAKE CREDIT AVAILABLE TO GROUP MEMBERS (CREDIT)
1707
620
1
YES
2
NO
3
9
DK
Sysmiss
D. OTHER (SPECIFY:____)
D. OTHER (SPECIFY:____)
D. OTHER (SPECIFY:____)
D. OTHER (SPECIFY:____)
D. OTHER (SPECIFY:____)
1693
634
1
YES
2
NO
3
4
9
DK
Sysmiss
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
574
0 0 01
0 0 02
ANNUAL CEREBRATION
ANNUAL CEREBRATIONS
ASSIST ANY MEMBER DURING CEREM
ASSIST ANY MEMBER DURING EVENT
ASSIST DURING AND ONLY FUNERAL
ASSIST DURING DEATH
ASSIST DURING FUNERAL
ASSIST DURING MARRIAGE
ASSIST IN DEATH
ASSIST IN FUNERAL
ASSIST IN FUNERAL AND SICKNESS
ASSIST IN MARRIAGE
ASSIST ONLY ON FUNERAL
ASSISTING IN FUNERAL
ASSISTING IN SOME SPECIA EVENT
ASSISTS DURING FUNERAL
ASSISTS IN FUNERAL
ASSISTS IN FUNERAL AND MARRIAG
ASSISTS IN FUNERAL/MARRIAGE
BOOKS AND PENS
BOUGHT UNIFORMS
BROUGHT VITENGE
BURRIAL SHEET
BUY DURABLE GOODS
BUY UTENSALS&VITENGE&TAKE MONE
BUY VITENGE
BUYDURABLEGOODS/GROUPEXPENDITU
BUYING 100KG OF CEMENT PER MEM
BUYING ASSETS
BUYING ASSETS AND CELEBRATIONS
BUYING ASSETS AND UNIFORM
BUYING ASSETS AND VITENGE
BUYING ASSETS,VITENGE CEREBRAT
BUYING ASSETS/BUYING VITENGE
BUYING BURIAL CLOTH
BUYING DURABLE GOODS
BUYING EQUIPMENT
BUYING EQUIPMENT,UNIFORMS
BUYING EQUIPMENTS
BUYING EQUIPMENTS FOR GROUP
BUYING EQUIPMENTS&PENS
BUYING EQUIPMENTS,UNIFORM
BUYING EXPENDITURES
BUYING EXRCISE BOOKS&PEN
BUYING GOODS
BUYING GROUP DURABLE GOODS
BUYING GROUP EXPENDITURE
BUYING ITEMS
BUYING MILLING MACHINE
BUYING PRESENTS
BUYING REQUIRED ITEMS
BUYING STATIONARIES
BUYING STATIONARY
BUYING SUGAR FOR FUNERAL
BUYING SUITCASE
BUYING TOOLS
BUYING UNIFORM
BUYING UNIFORM ANNUALLY
BUYING UNIFORM ANNUALY
BUYING UNIFORMS
BUYING UTENSILS
BUYING UTENSILS AND ASSETS
BUYING VITENGE
BUYING VITENGE ANNUALLY
BUYING VITENGE ANNUALY
BUYING VITENGE ONCE ANNUALLY
BUYING VITENGE/CELEBRATING END OF THE YEAR
CELEBLATION AT DEC.
CELEBRATE
CELEBRATE END OF THE YEAR
CELEBRATE THE END OF THE YEAR
CELEBRATE/BUY SUIT
CELEBRATING&BUYING VITENGE
CELEBRATION
CELEBRATION END OF THE YEAR
CELEBRATIONS
CEREBRATING END OF THE YEAR
CEREBRATION
CEREBRATION END OF THE YEAR
CEREMON ( ANNUALY )
CEREMONIES/BUYING KHANGAS
CEREMONY AT THE END OF YEAR
CONTRIBUTING AND DIVIDING
CREBRATION
CULTIVATING
DAILY OPERATION
DEATH &WHEN THE MEMBER IS SICK
DEATH,SICK & WEDDING
DIVIDE AT THE END OF THE YEAR
DIVIDING EACH OTHER AT END OF A YEAR
DURING DEATH & MARRIAGE
DURING DEATH IT ASSISTS
DURING HARDSHIPS
ENTRANCE BUY STATIONERY
ENTRANCE BUYS REFRESHMENTS
FOR BUYING EQUIPMENTS
FOR BUYING STATIONARY
FOR BUYING UTENSILS
FOR BUYING WEARING
FOR DEATH ONLY
FOR STATIONARY PURCHASES
FUNDS TO BUY ASSETS
FUNERAL & MARRIAGE
FUNERAL AND MARRIAGE ASSISTANC
FUNERAL EXPENSES
FUNERAL ONLY
GROUP ACCOUNT
GROUP EXPENDITURE
GROUP EXPENDITURES
HELP REPLACEMENT OF LOST ASSET
HELP THE SICK, FUNERAL
HELP THE SICK,MARRIAGE,FUNERAL
HIRE EQUIPMENTS
HIRING EQUIPMENTS
IN FUNERAL ONLY
INTERTAINMENT
LEADERS ALLOWANCES
LIVESTOCK KEEPING
MAKING GROUP CELEBRATION
MARRIAGE & DEATH
MARRIAGE /DEATH
MARRIAGE CEREMONIES
MARRIAGE&DEATH
MARRIAGE/DEATH
NEEDY PEOPLE
NOT YET DECIDED
OFFICE EXPENDITURE
OFFICE EXPENDITURE/DURABLE GOO
OFFICE EXPENSE
OFFICE USE
PRIZES ON WEDDING
PROVIDE MONEY BUYING UNIFORMS
PROVIDE MONEY ON OCCASSION
PURCHACE OF GROUP UNIFORMS
PURCHASE DURABLE GOOD
PURCHASE DURABLE GOODS
PURCHASE NEEDED ITEMS
PURCHASE OF DURABLE GOODS
PURCHASE OF UNIFORM
PURCHASE STATIONARY GOODS
PURCHASE UNIFORM
PURCHASE UTENSILS
PURCHASE VITENGE
PURCHASING DURABLE GOODS
PURCHASING OF DURABLE GOODS
PURCHASING STATIONARY
REPAIR THE WEAR OUT
REPAIR THE WEAR OUT VESSEL
REPAIR THE WEAR OUT VESSELS
REPLACEMENT OF STOLEN /DAMAGED
RUNNING COSTS
SHARING EQUALLY END OF THE YEA
STATIONARY
STATIONARY PURCHASES
TO ASSIST DUE TO FUNERAL
TO ASSIST DURING FUNERAL
TO ASSIST EACH OTHER IN FUNERA
TO ASSIST EACH OTHER WHEVER PR
TO ASSIST MEMBERS IN HARD COND
TO ASSIST WHENEVER ANY EVENT
TO BUY APPARATUS
TO BUY ASSETS
TO BUY CLOTHS
TO BUY COFFIN
TO BUY DURABLE GOODS
TO BUY EQUIPMENT
TO BUY EQUIPMENTS
TO BUY GROUP DURABLE GOODS
TO BUY GROUP EQUIPMENT
TO BUY GROUP EQUIPMENTS
TO BUY GROUP UNIFORM
TO BUY GROUP UNTENSILS
TO BUY GROUP UTENSIL
TO BUY GROUP UTENSILS
TO BUY ITEMS E.G POTS
TO BUY KANGA
TO BUY KANGA/VITENGE FOR MEMBE
TO BUY KHANGA
TO BUY KHANGA/VITENGE
TO BUY KHANGA/VITENGE/UTENSIL
TO BUY NEEDED ITEMS
TO BUY NICE FOOD ON HOLIDAYS
TO BUY ORGANIZATION EQUIPMENT
TO BUY PLATES
TO BUY REQUIRED ITEMS
TO BUY SHROUD
TO BUY STATIONARY
TO BUY THE EQUIPMENT FOR GROUP
TO BUY THE GROUP ASSETS
TO BUY UNIFORM
TO BUY UNIFORMS
TO BUY UNIFORMS FOR MEMBERS
TO BUY UNIFORMS FOR THE GROUP
TO BUY UNTENCILS FOR THE GROUP
TO BUY UNTENSILS TO THE MOURNE
TO BUY UNTENSILS,KANGA,VITENGE
TO BUY UTENCILS FOR THE GROUP
TO BUY UTENSIL GROUP
TO BUY UTENSILS
TO BUY UTENSILS AND STOCK
TO BUY UTENSILS FOR THE GROUP
TO BUY VITENGE
TO BUY VITENGE ANNUALY
TO COOK DURING THE FUNERAL
TO DIVIDE AMONG THEM
TO DIVIDE EQUALLY ANNUALY
TO GET MONEY DURING EVENTS
TO GET MONEY DURING FUNERAL
TO GET MONEY DURING SOME EVENT
TO GET MONEY DURING THE EVENT
TO GET MONEY DURING THE EVENTS
TO GET MONEY FOR BUYING BURIAL
TO GROUP UTENSILS
TO HELP DURING SICK & DEATH
TO HELP MOURNERS
TO PROVIDE RELISH TO MOURNER
TO PROVIDE SUGAR TO MOURNER
TO PURCHASE DURABLE GOODS
TO PURCHASE GROUP UTENSILS
TO PURCHASE STATIONARY GOODS
TO PURCHASE VESSELS/UTENSILS
TO RUN THE ORGANISATION
TO START ACCOUNT BANK
TOBUY GROUP UTENSILS
WEDDING
WHEN HAVING GUESTS
What is the value of all funds and stocks the group has?
What is the value of all funds and stocks the group has?
What is the value of all funds and stocks the group has?
What is the value of all funds and stocks the group has?
What is the value of all funds and stocks the group has?
1712
615
999999999999
193984027917.501
395465145257.507
Is there an entrance fee in cash or in kind to join the grou
Is there an entrance fee in cash or in kind to join the grou
Is there an entrance fee in cash or in kind to join the grou
Is there an entrance fee in cash or in kind to join the grou
Is there an entrance fee in cash or in kind to join the grou
2312
15
1
YES
2
NO
9
DK
500000
Sysmiss
How much is the entrance fee (value in kind entrance fees in
How much is the entrance fee (value in kind entrance fees in
How much is the entrance fee (value in kind entrance fees in
How much is the entrance fee (value in kind entrance fees in
How much is the entrance fee (value in kind entrance fees in
2001
326
5
999999999999
1999002740.32
44676638078.914
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
2253
74
1
Sysmiss
374
010102
010203
010302
010401
010601
011001
011002
011004
011302
011303
011403
012001
012002
020205
020304
020305
020401
020704
020802
021201
021401
021403
021501
021603
021701
021804
030101
030105
030303
030801
030805
030901
031201
031801
040401
041104
041105
041201
041602
041701
050801
050906
051101
051201
051202
051301
051501
051505
051801
051906
060501
060802
061215
062001
062206
070101
070107
070202
070301
070306
070312
070313
070504
070506
070901
071001
071006
071202
071605
080101
080102
080203
081002
081402
090301
090304
090901
091101
091302
091701
091703
091804
091901
100101
100401
100501
100703
100704
101105
101305
101601
101602
110102
110202
110501
110701
111004
111103
111301
111302
111501
111504
112305
120201
120501
120602
121101
121301
121401
121501
121701
130105
130201
130301
130304
130501
130802
131001
131002
131003
131004
131010
131102
131103
131107
131203
131404
131603
131801
131803
132101
140201
140202
140302
140505
140601
141101
141402
141501
150401
150404
150406
150601
150602
150701
150801
150802
150901
151001
151101
151104
151106
151201
151302
151501
151504
151601
151602
151901
152001
152003
152101
152102
152103
160701
170201
170703
171801
172002
180102
181301
181704
190404
190503
190604
190905
192103
200102
200301
200401
201204
201601
201605
210402
210404
210602
211202
220508
221303
221604
230102
230902
230903
231004
231005
240101
240302
241406
250301
250501
250701
251608
260409
261505
271401
280401
280402
281301
291301
291502
300201
300301
300501
301201
301401
311006
311201
311501
312402
320701
320805
330403
340401
340501
340602
340808
341701
341801
360202
370201
370202
370601
370802
371105
371401
380104
380301
380302
380601
380803
380901
381005
381101
381104
390106
390601
390602
390704
390705
391301
391501
391702
391704
391705
391901
400201
400203
400204
400302
400303
400403
400404
400501
400701
400704
401102
401201
401202
401801
410201
410402
410501
410601
410802
410902
411001
411401
411801
420103
420703
423404
430105
430301
430302
430601
430701
431001
431501
440305
441401
441703
451005
451202
451204
451701
451702
451703
453302
460301
461001
470201
470701
473501
481002
481101
481104
481301
481502
490501
490908
491101
491301
491401
491601
491602
500101
500201
500601
500705
500708
500710
501001
501201
501302
501404
501701
501702
501703
501801
502003
502006
502104
510103
510106
510207
510301
510303
510404
511101
511103
511201
511404
511501
ORGANISATION
ORGANISATION
ORGANISATION
ORGANISATION
ORGANISATION
374
ACP/DDF
AFYA NA MAENDELEO KAGERA
AFYA NA MAENDELEO PROJECT
AIDS CONTROL PROGRAM
AIDS PROGRAM-KAGOMA
AIDS/PROGRAME
AMANI PRIMARY SCHOOL
APOSTALIC CHURCH
ASSEMBLIES OF GOD
BAPTIST CHURCH
CARE INTERNATIONAL
CARITAS
CATHOLIC CHURCH
CHAMA CHA DINI ANGLICAN
CHAMA CHA MOYO MT.WA YESU
CHAMA CHA WALEMAVU
E.L.C.T-AIDS CONTROL
ELCT
ELCT KAGERA ZONE AIDS CON
ELCT KZACP
FEMSA
GOVERNMENT
HALMASHAURI WILAYA MULEBA
HUYAWA
IBUGA ADP
ICHWANDIMI PARISH
INTERN.CARE AND RELIEF
ISLAMIC
JUMUIYA YA WAISLAMU-RWIZI
KADEA
KAGERA DEV.EDUCATION FUND
KARAGWE DISTRICT DEV.PROG
KCDP
KDMF
KHDP
KHDS
KHDS 1 (1991/1994)
KHDS 2 (2004)
LAKE ZONE AIDS CONTROL PR
LUTHERAN
LUTHERAN CHURCH
MARIJANI
MAYAWA
MEDICINE DE MUND
MSIKITI
MULEBA DISTRICT RURAL DEV
MURUGWANZA HOSPITAL
NPA
NSHAMBA ADP
OMULIZA
ORTHODOX
OXFAM
PARTAGE
PENTECOSTAL CHURCH
PLAN INTERNATIONAL
REDESO
ROMAN CATHOLIC CHURCH
RUKAJANGE DEACONIA
RWELU
RWELU ADP
SAIDIA YATIMA NYAKAHANGA
SAWATA
SCHOOL
SISTA ULUSURA
SISTERS OF NYAIGANDO
ST.DONBOSCO PROJECT
SWEEDISH ORGANISATION
TANZANIA RED CROSS
TASAF
TOWN COUNCIL
TOWN COUNCIL-BKB
UNHCR
UNICEF
UNKNOWN
USAIDIZI KATIKA UISLAM
USTAWI WA JAMII
WAMATA
WAWATA
WE SHARE GROUP
WIAWA
WORLD FOOD PROGRAMME
WORLD VISION
CODE
CODE
CODE
CODE
CODE
372
2
1
99
9.048
10.103
How much have the members of your household received in the
How much have the members of your household received in the
How much have the members of your household received in the
How much have the members of your household received in the
How much have the members of your household received in the
373
1
999999999999
13404953927.413
115155044963.691
How much have the members of your household (approximately)
How much have the members of your household (approximately)
How much have the members of your household (approximately)
How much have the members of your household (approximately)
How much have the members of your household (approximately)
374
999999999999
8021412134.941
89321777234.02
374
1
2
3
4
5
6
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
308
66
1
Sysmiss
19329
KHDS1991-94 CLUSTER
KHDS1991-94 CLUSTER
KHDS1991-94 CLUSTER
KHDS1991-94 CLUSTER
KHDS1991-94 CLUSTER
19329
1
51
26.045
14.897
KHDS1991-94 HH CODE IN CLUSTER
KHDS1991-94 HH CODE IN CLUSTER
KHDS1991-94 HH CODE IN CLUSTER
KHDS1991-94 HH CODE IN CLUSTER
KHDS1991-94 HH CODE IN CLUSTER
19329
1
44
10.523
6.544
KHDS1991-94 ID CODE IN HH (NR2)
KHDS1991-94 ID CODE IN HH (NR2)
KHDS1991-94 ID CODE IN HH (NR2)
KHDS1991-94 ID CODE IN HH (NR2)
KHDS1991-94 ID CODE IN HH (NR2)
17570
1759
1
36
6.586
4.594
KHDS 6-digit PERSON PANEL ID
KHDS 6-digit PERSON PANEL ID
KHDS 6-digit PERSON PANEL ID
KHDS 6-digit PERSON PANEL ID
KHDS 6-digit PERSON PANEL ID
17570
KHDS1991-94 CLE ID CODE IN HH (NR3)
KHDS1991-94 CLE ID CODE IN HH (NR3)
KHDS1991-94 CLE ID CODE IN HH (NR3)
KHDS1991-94 CLE ID CODE IN HH (NR3)
KHDS1991-94 CLE ID CODE IN HH (NR3)
1759
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
27
28
29
30
31
33
34
NETWORK ID CODE
NETWORK ID CODE
NETWORK ID CODE
NETWORK ID CODE
NETWORK ID CODE
19329
1
32
5.35
4.14
19329
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
In the past 12 months, did ...[..]... give you or anyone in
In the past 12 months, did ...[..]... give you or anyone in
In the past 12 months, did ...[..]... give you or anyone in
In the past 12 months, did ...[..]... give you or anyone in
In the past 12 months, did ...[..]... give you or anyone in
19317
12
1
YES, GIFT
2
YES,LOAN
3
YES, BOTH
4
NO
7
9
DK
Sysmiss
What is the total value of gifts or loans in cash or in kind
What is the total value of gifts or loans in cash or in kind
What is the total value of gifts or loans in cash or in kind
What is the total value of gifts or loans in cash or in kind
What is the total value of gifts or loans in cash or in kind
4687
14642
20
999999999999
5973982913.451
77068471660.128
Was this loan or gift meant for someone specifically in the
Was this loan or gift meant for someone specifically in the
Was this loan or gift meant for someone specifically in the
Was this loan or gift meant for someone specifically in the
Was this loan or gift meant for someone specifically in the
4688
14641
1
YES
2
NO
9
DK
Sysmiss
WRITE THE ID CODE OF THE MAIN RECIPIENT OF THE GIFT/LOAN
WRITE THE ID CODE OF THE MAIN RECIPIENT OF THE GIFT/LOAN
WRITE THE ID CODE OF THE MAIN RECIPIENT OF THE GIFT/LOAN
WRITE THE ID CODE OF THE MAIN RECIPIENT OF THE GIFT/LOAN
WRITE THE ID CODE OF THE MAIN RECIPIENT OF THE GIFT/LOAN
2240
17089
99
3.009
11.439
What was the main reason for this gift/loan?
What was the main reason for this gift/loan?
What was the main reason for this gift/loan?
What was the main reason for this gift/loan?
What was the main reason for this gift/loan?
4685
14644
1
MEDICAL CARE
2
FUNERAL EXPENSES
3
SCHOOL EXPENSES
4
WEDDING EXPENSES
5
TRANSPORTATION
6
SUBSISTENCE NEEDS
7
PURCHASE OF A DURABLE GOOD
8
INVESTMENT
9
BIRTH
10
JUST A FRIENDLY GESTURE
11
OTHER (SPECIFY:_____)
99
DK
Sysmiss
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
28
ADD ON BUSSINESS
BRIDGROOMY
CHILDREN ASSISTANCE
CONDOLENCES
CONFIRMATION CEREMONIES
CONTRIBUTION
EASTER
ENTERTAINMENT
FINE
INHERITANCE
LIVESTOCK/FARMING
PARENTS
POCKET MONEY
RELIGIOUS CELEBRATION (IDD)
STARTED LIVING SINGLE
SUBSISTANCE NEEDS
THANKS
THANKS FOR HIS ASSISTANCE
THANKS GIVING
TO CLEAR DEBIT
TO SEE HER FROM HOSPITAL
X-MASS GIFT
In the past 12 months did ...[..]... spend any time assistin
In the past 12 months did ...[..]... spend any time assistin
In the past 12 months did ...[..]... spend any time assistin
In the past 12 months did ...[..]... spend any time assistin
In the past 12 months did ...[..]... spend any time assistin
19295
34
1
YES
2
NO
4
9
DK
Sysmiss
How many days in the past 12 months?
How many days in the past 12 months?
How many days in the past 12 months?
How many days in the past 12 months?
How many days in the past 12 months?
2740
16589
999
19.754
57.978
In the past 12 months, did you or anyone else in your househ
In the past 12 months, did you or anyone else in your househ
In the past 12 months, did you or anyone else in your househ
In the past 12 months, did you or anyone else in your househ
In the past 12 months, did you or anyone else in your househ
19306
23
1
YES, GIFT
2
YES,LOAN
3
YES, BOTH
4
NO
9
DK
Sysmiss
What is the total value of gifts or loans in cash or kind yo
What is the total value of gifts or loans in cash or kind yo
What is the total value of gifts or loans in cash or kind yo
What is the total value of gifts or loans in cash or kind yo
What is the total value of gifts or loans in cash or kind yo
5439
13890
999999999999
9192875933.386
95446489270.007
Was this gift or loan given by someone specifically in your
Was this gift or loan given by someone specifically in your
Was this gift or loan given by someone specifically in your
Was this gift or loan given by someone specifically in your
Was this gift or loan given by someone specifically in your
5421
13908
1
YES
2
NO
9
DK
Sysmiss
WRITE THE ID CODE OF THE MAIN DONOR OF THE GIFT/LOAN
WRITE THE ID CODE OF THE MAIN DONOR OF THE GIFT/LOAN
WRITE THE ID CODE OF THE MAIN DONOR OF THE GIFT/LOAN
WRITE THE ID CODE OF THE MAIN DONOR OF THE GIFT/LOAN
WRITE THE ID CODE OF THE MAIN DONOR OF THE GIFT/LOAN
3244
16085
99
1.933
7.096
What was the main reason for this gift/loan?
What was the main reason for this gift/loan?
What was the main reason for this gift/loan?
What was the main reason for this gift/loan?
What was the main reason for this gift/loan?
5436
13893
1
MEDICAL CARE
2
FUNERAL EXPENSES
3
SCHOOL EXPENSES
4
WEDDING EXPENSES
5
TRANSPORTATION
6
SUBSISTENCE NEEDS
7
PURCHASE OF A DURABLE GOOD
8
INVESTMENT
9
BIRTH
10
JUST A FRIENDLY GESTURE
11
OTHER (SPECIFY:_____)
13
99
DK
Sysmiss
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
45
BAPTISED HER SON
BAPTISM
BRIDE PRICE
CARE FOR HER CHILD
CASE
CLOTHING
COMMUNIO
COMUNIAL CEREMONY
CONTRIBUTION
CRIMINAL CASE
FOR BUILDING
GIVING BIRTH
GRADUATE
GRADUATION
GREETING PARENTS
LABOUR
LIVESTOCK
OPENING CEREMONY OF A NEW HOUS
OWN VISIT
PARENTS
PRIDE PRICE
PRISONER
PRISONS
TAKES CARE OF HIS PROPERTY
THANKS
TO BUILD WATER WELL
TO BUY CLOTHES
TO PAY A BRIDE PRICE
TO PAY LEVY
TO THANK HIM FOR WHAT HE DID
TO THANK THEM FOR THEIR CARE
TO VISIT IN-LAWS
WAS IN JAIL
WELCOMING HER
X-MAX
X-MAX DAY
In the past 12 months did you or your household spend any ti
In the past 12 months did you or your household spend any ti
In the past 12 months did you or your household spend any ti
In the past 12 months did you or your household spend any ti
In the past 12 months did you or your household spend any ti
19289
40
1
YES
2
NO
4
9
DK
Sysmiss
How many days in the past 12 months?
How many days in the past 12 months?
How many days in the past 12 months?
How many days in the past 12 months?
How many days in the past 12 months?
2325
17004
999
16.517
44.314
When was the last time that you or any member of your househ
When was the last time that you or any member of your househ
When was the last time that you or any member of your househ
When was the last time that you or any member of your househ
When was the last time that you or any member of your househ
19281
48
9999
2043.076
929.718
When did you or any member in your household last talk or re
When did you or any member in your household last talk or re
When did you or any member in your household last talk or re
When did you or any member in your household last talk or re
When did you or any member in your household last talk or re
19274
55
9999
2053.752
704.821
5,000
5,000
5,000
5,000
5,000
19248
81
1
YES
2
NO
7
9
DK
Sysmiss
20,000
20,000
20,000
20,000
20,000
19247
82
1
YES
2
NO
9
DK
Sysmiss
5,000
5,000
5,000
5,000
5,000
19236
93
1
YES
2
NO
9
DK
Sysmiss
20,000
20,000
20,000
20,000
20,000
19236
93
1
YES
2
NO
9
DK
Sysmiss
If you were to need 5000 shillings today, would you ask ...[
If you were to need 5000 shillings today, would you ask ...[
If you were to need 5000 shillings today, would you ask ...[
If you were to need 5000 shillings today, would you ask ...[
If you were to need 5000 shillings today, would you ask ...[
19219
110
1
YES
2
NO
9
DK
Sysmiss
If ...[READ NAME FROM NETWORK CARD]... asks you for a gift/l
If ...[READ NAME FROM NETWORK CARD]... asks you for a gift/l
If ...[READ NAME FROM NETWORK CARD]... asks you for a gift/l
If ...[READ NAME FROM NETWORK CARD]... asks you for a gift/l
If ...[READ NAME FROM NETWORK CARD]... asks you for a gift/l
19238
91
1
YES
2
NO
9
DK
Sysmiss
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
12107
7222
1
Sysmiss
3720
3720
01
02
03
04
05
06
07
08
09
10
11
12
What is his/her relationship to the head of this household
What is his/her relationship to the head of this household
What is his/her relationship to the head of this household
What is his/her relationship to the head of this household
What is his/her relationship to the head of this household
3720
1
HUSBAND OR WIFE
2
PARENT
3
GRANDPARENT
4
SON/DAUGHTER
5
GRANDCHILD
6
SISTER/BROTHER
7
NIECE/NEPHEW
8
OTHER RELATIVE
9
NEIGHBOR
10
OTHER NON-RELATIVE
99
DK
Where does ...[..]... live?
Where does ...[..]... live?
Where does ...[..]... live?
Where does ...[..]... live?
Where does ...[..]... live?
3718
2
1
In this household (but not member)
2
Other village in Kagera
3
Other town in Kagera
4
Dar Es Salaam
5
Other Town in Tanzania
6
Other Village in Tanzania
7
Other Country
8
Don't know
Sysmiss
Was this mainly a gift or a loan or in the form of labour?
Was this mainly a gift or a loan or in the form of labour?
Was this mainly a gift or a loan or in the form of labour?
Was this mainly a gift or a loan or in the form of labour?
Was this mainly a gift or a loan or in the form of labour?
3719
1
1
YES, GIFT
2
YES,LOAN
3
YES, BOTH
4
ONLY LABOUR
9
DK
Sysmiss
What is the total value of gifts or loans in cash or kind yo
What is the total value of gifts or loans in cash or kind yo
What is the total value of gifts or loans in cash or kind yo
What is the total value of gifts or loans in cash or kind yo
What is the total value of gifts or loans in cash or kind yo
3563
157
999999999999
3648621886.557
60301897627.475
Was this loan or gift meant for someone specifically in the
Was this loan or gift meant for someone specifically in the
Was this loan or gift meant for someone specifically in the
Was this loan or gift meant for someone specifically in the
Was this loan or gift meant for someone specifically in the
3562
158
1
YES
2
NO
9
DK
Sysmiss
Write the ID code of the main recipient of the gift/loan.
Write the ID code of the main recipient of the gift/loan.
Write the ID code of the main recipient of the gift/loan.
Write the ID code of the main recipient of the gift/loan.
Write the ID code of the main recipient of the gift/loan.
2159
1561
1
99
1.959
5.648
What was the main reason for this gift/loan?
What was the main reason for this gift/loan?
What was the main reason for this gift/loan?
What was the main reason for this gift/loan?
What was the main reason for this gift/loan?
3717
3
1
MEDICAL CARE
2
FUNERAL EXPENSES
3
SCHOOL EXPENSES
4
WEDDING EXPENSES
5
TRANSPORTATION
6
SUBSISTENCE NEEDS
7
PURCHASE OF A DURABLE GOOD
8
INVESTMENT
9
BIRTH
10
JUST A FRIENDLY GESTURE
11
OTHER (SPECIFY:_____)
99
DK
Sysmiss
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
81
ASSISTED HIM
BABTISED
BAPTISM
BIRTHDAY
BRIDE PRICE
BUILD HOUSE
BUILDING
BUILDING HOUSE
BUSINESS
BUSSINESS
BUYING MILLET
BUYING OF GOAT
CAPITAL
CHRISTMAS GIFTS
CLAN MEETING
CODE 1&9
CRIMINAL
CRIMINAL CASE
FOR BUSINESS
FOR WHAT HE DID FOR HIM
GIVING BIRTH
HELPING
HOUSE BUILDING
HOUSE RENT
IDD CELEBRATIONS
IN PRISON
LEISURE
LOSS OF HOUSE
PAY LOAN
PLEASING GUESTS
RELIGIOUS CEREMONY
RUNNING BUSINESS
SEED
THANKS
TO BUILD HOUSE
TO ENTERTAIN MY GUEST
TO GREET THEIR DAUGHTER
TO PAY BRIDE PRICE
TO PAY COURT FINE
TO PAY DEBT
VILLAGE CONTRIBUTION
VILLAGE CONTRIBUTIONS
VISITING HIS GRAND CHILDREN
WANTED TO WELCOME GEUSTS
WEEDING
In the past 12 months, did ...[..]... spend any time assisti
In the past 12 months, did ...[..]... spend any time assisti
In the past 12 months, did ...[..]... spend any time assisti
In the past 12 months, did ...[..]... spend any time assisti
In the past 12 months, did ...[..]... spend any time assisti
3717
3
1
YES
2
NO
9
DK
Sysmiss
How many days in the past 12 months?
How many days in the past 12 months?
How many days in the past 12 months?
How many days in the past 12 months?
How many days in the past 12 months?
983
2737
1
999
13.695
56.117
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
3720
1
3397
3397
01
02
03
04
05
06
07
08
09
10
11
12
What is his/her relationship to the head of this household?
What is his/her relationship to the head of this household?
What is his/her relationship to the head of this household?
What is his/her relationship to the head of this household?
What is his/her relationship to the head of this household?
3397
1
HUSBAND OR WIFE
2
PARENT
3
GRANDPARENT
4
SON/DAUGHTER
5
GRANDCHILD
6
SISTER/BROTHER
7
NIECE/NEPHEW
8
OTHER RELATIVE
9
NEIGHBOR
10
OTHER NON-RELATIVE
99
DK
Where does ...[..]... live?
Where does ...[..]... live?
Where does ...[..]... live?
Where does ...[..]... live?
Where does ...[..]... live?
3397
1
In this household (but not member)
2
Other village in Kagera
3
Other town in Kagera
4
Dar Es Salaam
5
Other Town in Tanzania
6
Other Village in Tanzania
7
Other Country
8
Don't know
Was this mainly a gift or a loan or was it in the form of la
Was this mainly a gift or a loan or was it in the form of la
Was this mainly a gift or a loan or was it in the form of la
Was this mainly a gift or a loan or was it in the form of la
Was this mainly a gift or a loan or was it in the form of la
3397
1
YES, GIFT
2
YES,LOAN
3
YES, BOTH
4
ONLY LABOUR
9
DK
What is the total value of gifts or loans in cash or kind yo
What is the total value of gifts or loans in cash or kind yo
What is the total value of gifts or loans in cash or kind yo
What is the total value of gifts or loans in cash or kind yo
What is the total value of gifts or loans in cash or kind yo
3257
140
999999999999
1535161548.218
39156980103.642
Was this gift or loan given by someone specifically in your
Was this gift or loan given by someone specifically in your
Was this gift or loan given by someone specifically in your
Was this gift or loan given by someone specifically in your
Was this gift or loan given by someone specifically in your
3258
139
1
YES
2
NO
9
DK
Sysmiss
WRITE THE ID CODE OF THE MAIN DONOR OF THE GIFT/LOAN
WRITE THE ID CODE OF THE MAIN DONOR OF THE GIFT/LOAN
WRITE THE ID CODE OF THE MAIN DONOR OF THE GIFT/LOAN
WRITE THE ID CODE OF THE MAIN DONOR OF THE GIFT/LOAN
WRITE THE ID CODE OF THE MAIN DONOR OF THE GIFT/LOAN
2363
1034
1
99
1.818
5.743
What was the main reason for this gift/loan?
What was the main reason for this gift/loan?
What was the main reason for this gift/loan?
What was the main reason for this gift/loan?
What was the main reason for this gift/loan?
3397
1
MEDICAL CARE
2
FUNERAL EXPENSES
3
SCHOOL EXPENSES
4
WEDDING EXPENSES
5
TRANSPORTATION
6
SUBSISTENCE NEEDS
7
PURCHASE OF A DURABLE GOOD
8
INVESTMENT
9
BIRTH
10
JUST A FRIENDLY GESTURE
11
OTHER (SPECIFY:_____)
99
DK
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
OTHER SPECIFIED
70
AS THANKS FOR WHAT SHE DID
ASSISTED HIM
BAIL
BAPTISM
BAPTISM CEREMONY
BAPTISM EXPENSES
BECAUSE OF HIS BROTHER
BIRTH DAY
BRIDE PRICE
BUILD HOUSE
BUILDING
BUILDING HOUSE
CEREMONY
CHILD BIRTH
CONTRIBUTION TO GROUP
CRIMINAL CASE
CULTIVATION
EASTER AND X-MASS GIFTS
FARMING
FIRE ACCIDENT
FOR BUILDING
FOR BUSINESS
GOLDEN JUBILEE
HE WAS SICK
HEALING A CHILD
HELP
HELPING
IN PRISON
LABOUR SHARING
LAWSUT
LEGAL COST
ORGANISATION CONTRIBUTION
PARENT
PAY DEBIT
PAYING RESPECT
PIGS BUYING
PLEASING GUESTS
PURCHASE OF CLOTHES
REGIOUS CONTRIBUTION
RELIGIOUS CREMONY
SPECIAL FOR ORPHANS
THANKS
THANKS FOR SAVE FAMILY PROBLEM
THEFT
TO BUILD A HOUSE
TO PREPARE NEW SHAMBA
TO SAVE CRIMINAL CASE
TO THANK HIM FOR WHAT HE DID
TO WORK IN FAMILY SHAMBA
In the past 12 months did you or your household spend any ti
In the past 12 months did you or your household spend any ti
In the past 12 months did you or your household spend any ti
In the past 12 months did you or your household spend any ti
In the past 12 months did you or your household spend any ti
3396
1
1
YES
2
NO
9
DK
Sysmiss
How many days in the past 12 months?
How many days in the past 12 months?
How many days in the past 12 months?
How many days in the past 12 months?
How many days in the past 12 months?
955
2442
1
999
16.347
56.824
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
3397
1
11192
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
KHDS2004 Person Roster ID
11192
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
18
19
20
21
22
current household member?
current household member?
current household member?
current household member?
current household member?
11192
1
YES
2
NO
9
DK
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
Main field work (1), else Tracking
8621
2571
1
Sysmiss
YRS
YRS
YRS
YRS
YRS
11187
5
99
20.145
18.426
MOS
MOS
MOS
MOS
MOS
2427
8765
99
6.565
12.875
SEX
SEX
SEX
SEX
SEX
11182
10
1
MALE
2
FEMALE
3
PREGNANT
4
BREAST FEEDING
9
Sysmiss
WAS THIS PERSON MEASURED?
WAS THIS PERSON MEASURED?
WAS THIS PERSON MEASURED?
WAS THIS PERSON MEASURED?
WAS THIS PERSON MEASURED?
11132
60
1
YES
2
NO
3
9
DK
Sysmiss
DAY
DAY
DAY
DAY
DAY
9892
1300
1
99
16.727
11.602
MONTH
MONTH
MONTH
MONTH
MONTH
9892
1300
1
99
4.846
9.062
YEAR
YEAR
YEAR
YEAR
YEAR
9892
1300
1
99
4.838
8.841
KG
KG
KG
KG
KG
9930
1262
25
1550
368.472
207.134
KG measured with DECIMALS (YES=1, NO=2)
KG measured with DECIMALS (YES=1, NO=2)
KG measured with DECIMALS (YES=1, NO=2)
KG measured with DECIMALS (YES=1, NO=2)
KG measured with DECIMALS (YES=1, NO=2)
10805
387
1
YES
2
NO
9
DK
Sysmiss
CM
CM
CM
CM
CM
9910
1282
210
1990
1334.812
339.594
CM measured with DECIMALS (YES=1, NO=2)
CM measured with DECIMALS (YES=1, NO=2)
CM measured with DECIMALS (YES=1, NO=2)
CM measured with DECIMALS (YES=1, NO=2)
CM measured with DECIMALS (YES=1, NO=2)
10800
392
1
YES
2
NO
9
DK
Sysmiss
REASON NOT MEASURED
REASON NOT MEASURED
REASON NOT MEASURED
REASON NOT MEASURED
REASON NOT MEASURED
1269
9923
1
AT SCHOOL
2
BOARDING/TRAVELLING
3
HANDICAP OR DEFORMITY
4
SERIOUS ILLNESS
5
REFUSAL
6
OTHER (SPECIFY)
7
8
9
DK
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
214
.
ABSENT
ADMITTED
ALREADY MEASURED
ALREADY MEASURED IN 220708
ALREDY MEASURED IN HH 500201
AT CLINIC
AT HOME
AT SCHOOL
AT THE CHURCH
AT WORK/BUSINESS
CRIPPLED
DIED
DUTY
ESCAPED FROM HOME
FAMILY PROBLEM
FAR FROM INTERVIEW
FEARED TO BE SEEN BY TZ ARMY
HONEYMOON
IN TOWN TO GIVE BIRTH
INFANT/NEWBORN
KEEPING LIVESTOCK
LEFT AT HOME
MAIDEN
MARRIED
MENTAL DISORDER
MOURNING
NOT ALLOW TO INTERVIEW
NURSERY
OLD AGE
PRISON/JAIL
RESPONDENT WAS BUSY
SLEEPING
TAKING CARE FOR THE PATIENT
TO CARE ILLNESS
TOO OLD
UNABLE TO MEET
UNDER WEIGHT&HEIGHT
IS ..[NAME].. LESS THAN 6 YEARS OLD?
IS ..[NAME].. LESS THAN 6 YEARS OLD?
IS ..[NAME].. LESS THAN 6 YEARS OLD?
IS ..[NAME].. LESS THAN 6 YEARS OLD?
IS ..[NAME].. LESS THAN 6 YEARS OLD?
11127
65
1
YES
2
NO
9
DK
Sysmiss
Je ..[NAME] ana kadi ya chanjo?
Je ..[NAME] ana kadi ya chanjo?
Je ..[NAME] ana kadi ya chanjo?
Je ..[NAME] ana kadi ya chanjo?
Je ..[NAME] ana kadi ya chanjo?
2663
8529
1
YES
2
NO
6
9
DK
Sysmiss
Surua?
Surua?
Surua?
Surua?
Surua?
2398
8794
NONE
1
ONE
2
TWO
3
THREE
6
9
DK
Sysmiss
Pepopunda/Tetanus
Pepopunda/Tetanus
Pepopunda/Tetanus
Pepopunda/Tetanus
Pepopunda/Tetanus
2402
8790
NONE
1
ONE
2
TWO
3
THREE
4
9
DK
Sysmiss
Kupooza/Polio
Kupooza/Polio
Kupooza/Polio
Kupooza/Polio
Kupooza/Polio
2404
8788
NONE
1
ONE
2
TWO
3
THREE
4
9
DK
Sysmiss
Kifua kikuu?
Kifua kikuu?
Kifua kikuu?
Kifua kikuu?
Kifua kikuu?
2404
8788
NONE
1
ONE
2
TWO
3
THREE
9
DK
Sysmiss
OBSERVATIONS
OBSERVATIONS
OBSERVATIONS
OBSERVATIONS
OBSERVATIONS
300
04/06/04 BORN
10.3,83.3 10/03/2004
10.5,80.0
10.6,81.5
10.8 (12.3)
10.8,82.1
11.7wt 82.6ht9/3/04remeasured
12.2, 80.0 10/03/04
12.5
12.5, 93.8 09/03/2004
14.2, 100.1 10/03/04
14.7,91.6
140, 100.2 10/03/2004
15.6KGR
15/9/02
16/11/02
18/3/99
1REMEASURED
3 WEEKS BABY WITH BOWED LEG
3.5
60-80
7.9 KG
7KG
9.01, 77.9 09/03/2004
9.3wt 71.5ht9/3/04remeasured
9.8,79.1
ABOVE NORMAL WEIGHT
ANAGRES MAOGOLA
AND 06
BORN 1 DAY PAST AT HOME
BORN IN BURUNDI
BORN ON 12/3/99
BORN ON 23/5/04
BORN ON 26/4/2002
BORN ON 31/01/04
BORN PREMATURE
BURNT
CAN NOT STANT STRAIGHT
CARD NOT AVAILABLE
CARD WAS TAKEN BY HER MOTHER
CLINIC CARD NOT PROSED
CLINIC CARD NOT SEEN
CLINIC CARD TAKEN BY HER
CLINICAL CARD NOT SEEN
DONT HAVE
DWARF
DWART
HAD MEASLES
HAIR AFFECTED HEIGHT MEASURE
HE HAS T.B
HE IS VERY HEALTHY
HE IS WEAK
HE LOOKS TOO SHORT/LIGHTER
HE SEEMS TO BE SHORT
HE WAS SCREMING
HE WAS SICK
HEWAS SICK IN JANUARY
HIS CLINIC CARD BURNT
HIV VICTIM
IND 03 IS SUFFERING FROM TB SO HIS HEALTH IS NOT WELL
IND 05
INDIVIDUAL 03 WAS SICK WHEN MEASUREMENTS WAS TAKEN
IS SO WEAK
IS VERY FAT
KADI YA CLINIC IKO KWA MAMA YAKE
LEPER
LOOKS WEAK
LOOKS YOUNGER THAN HIS AGE
LOST
LOST CLINICAL CARD
MAINUTRITION
MALNUTRITION
MALNUTRITION UNDER WEIGHT
MEASLES
MOTHER WAS ABSENT
NEARLY THE SAME
NOT PRESENT
NOT SEEN
NOW AT 12.4
OVERWEIGHT
PARENTS SHORT
POOR HEALTH
POOR HEARTH
Q10C: 4 IS OUT OF RANGE
Q10C: IT SHOULD BE 3 OR LESS BUT NOT 4.
RE-MEASURED
RECHECKED
REFER S00
REFUSAL
REFUSED TO BE HEIGHT MEASURED
REMEASURED
REMEASURED BUT STILL UNDER
REMEASURED BUT THE SAME
RETARDED GROWTH
RICKETS
SCREAMING
SEEMS YOUNGER THAN HER AGE
SERIOUSLY CRYING
SHE LOOKS TOO SHORT/LIGHTER
SHE WAS SICK
SHORT
SICK
SO WEAK
STARTED GROWTH
STUBBORN ON MEASURING
STUNTED GROWTH
SUFFERING FROM CIRCLE CELL
THE CARD NOT SEEN
THE CHILD IS SICK
THE CLINIC CARD WAS NOT THERE
THE NAME ON CARD IS LINA
THE SAME
THE SAME PROBLEM AS BEFORE
THIN AND WEAK
TOO DWARF
TOO HIGH
TOO OLD
TOO SHORT
TOO SHORT/LIGHTER
TOO SMALL
TOO YOUNG
TOO YOUNG FOR LENGTH MEASURE
TOO YOUNG FOR THE MEASUREMENT
TWO WEEKS OLD
UDER WEIGHT AND HEIGHT
UNDER HEIGHT
UNDER WEIGHT
UNDER WEIGHT (SICK)
UNDER WEIGHT AND HEIGHT
UNDER WEIGHT AND SICK OF EAR INFECTION
UNDER WEIGHT&HEIGHT
UNDER WIGHT
UNDERWEIGHT
UNDERWEIGHT & HEIGHT
UNDERWEIGHT AND HEIGHT
UNDERWEIGHT SICK
WAS CRYING
WAS SERIOUS SICK
WAS SICK
WE WENT TO REMEASURE WE FIND HIM ADMITTED
WEAK/THIN
WELL GROWING
WT 11.7,HT 83.8 MEASURED 10/3/2004
WT 140,HT 88.1 MEASURED 10/3/2004
WT 4.0/HT. 52.3 10/3/2004
WT 8.9 HT 75.2 REMEASURED 10/3/2004
WT 9.1,HT 73.2 MEASURED 10/3/2004
WT.16.5/HT 97.2 10/312004
WT9.3,HT 83.9 MEASURED 10/3/2004
no vaccination card
KHDS1991-94 CLUSTER
KHDS1991-94 CLUSTER
KHDS1991-94 CLUSTER
KHDS1991-94 CLUSTER
KHDS1991-94 CLUSTER
2254
1
51
26.408
15.549
KHDS1991-94 HH CODE IN CLUSTER
KHDS1991-94 HH CODE IN CLUSTER
KHDS1991-94 HH CODE IN CLUSTER
KHDS1991-94 HH CODE IN CLUSTER
KHDS1991-94 HH CODE IN CLUSTER
2254
1
44
10.798
6.699
KHDS1991-94 ID CODE IN HH
KHDS1991-94 ID CODE IN HH
KHDS1991-94 ID CODE IN HH
KHDS1991-94 ID CODE IN HH
KHDS1991-94 ID CODE IN HH
2254
1
32
5.484
3.556
KHDS 6-digit PERSON PANEL ID
KHDS 6-digit PERSON PANEL ID
KHDS 6-digit PERSON PANEL ID
KHDS 6-digit PERSON PANEL ID
KHDS 6-digit PERSON PANEL ID
2254
KHDS2004 Person was tracked and reinterviewed
KHDS2004 Person was tracked and reinterviewed
KHDS2004 Person was tracked and reinterviewed
KHDS2004 Person was tracked and reinterviewed
KHDS2004 Person was tracked and reinterviewed
2254
1
ITF: 1st Zone for tracking
ITF: 1st Zone for tracking
ITF: 1st Zone for tracking
ITF: 1st Zone for tracking
ITF: 1st Zone for tracking
2239
15
Qx
1
office reach
2
bugabo
3
kiziba
4
misenyi
5
katerero
6
rubale
7
muleba town
8
kamachumu
9
izigo
10
muleba islands
11
rulanda
12
nshamba
13
omurushaka
14
nkwenda
15
mabira
16
biharamulo
17
bwanga
18
chato
19
ngara
20
benaco
21
geita
22
sengerema
23
mwanza city
24
mara
25
shinyanga
26
ilala
27
kinondoni
28
temeke
29
zanzibar
30
tabora
31
kigoma
32
mbeya
33
rukwa
34
ruvuma
35
iringa
40
arusha
41
kilimanjaro
42
tanga
43
morogoro
44
dodoma
50
uganda
51
kenya
52
rwanda
53
burundi
54
zaire
55
botswana
56
egypt
70
germany
71
norway
72
sweden
99
ITF misplaced
555
non-phhm
999
Not Curr HHM HR4
Sysmiss
ITF: 2nd Zone for tracking
ITF: 2nd Zone for tracking
ITF: 2nd Zone for tracking
ITF: 2nd Zone for tracking
ITF: 2nd Zone for tracking
1870
384
Qx
1
office reach
2
bugabo
3
kiziba
4
misenyi
5
katerero
6
rubale
7
muleba town
8
kamachumu
9
izigo
10
muleba islands
11
rulanda
12
nshamba
13
omurushaka
14
nkwenda
15
mabira
16
biharamulo
17
bwanga
18
chato
19
ngara
20
benaco
21
geita
22
sengerema
23
mwanza city
24
mara
25
shinyanga
26
ilala
27
kinondoni
28
temeke
29
zanzibar
30
tabora
31
kigoma
32
mbeya
33
rukwa
34
ruvuma
35
iringa
40
arusha
41
kilimanjaro
42
tanga
43
morogoro
44
dodoma
50
uganda
51
kenya
52
rwanda
53
burundi
54
zaire
55
botswana
56
egypt
70
germany
71
norway
72
sweden
99
ITF misplaced
555
non-phhm
999
Not Curr HHM HR4
Sysmiss
ITF: 3rd Zone for tracking
ITF: 3rd Zone for tracking
ITF: 3rd Zone for tracking
ITF: 3rd Zone for tracking
ITF: 3rd Zone for tracking
300
1954
Qx
1
office reach
2
bugabo
3
kiziba
4
misenyi
5
katerero
6
rubale
7
muleba town
8
kamachumu
9
izigo
10
muleba islands
11
rulanda
12
nshamba
13
omurushaka
14
nkwenda
15
mabira
16
biharamulo
17
bwanga
18
chato
19
ngara
20
benaco
21
geita
22
sengerema
23
mwanza city
24
mara
25
shinyanga
26
ilala
27
kinondoni
28
temeke
29
zanzibar
30
tabora
31
kigoma
32
mbeya
33
rukwa
34
ruvuma
35
iringa
40
arusha
41
kilimanjaro
42
tanga
43
morogoro
44
dodoma
50
uganda
51
kenya
52
rwanda
53
burundi
54
zaire
55
botswana
56
egypt
70
germany
71
norway
72
sweden
99
ITF misplaced
555
non-phhm
999
Not Curr HHM HR4
Sysmiss
ITF: 4th Zone for tracking
ITF: 4th Zone for tracking
ITF: 4th Zone for tracking
ITF: 4th Zone for tracking
ITF: 4th Zone for tracking
47
2207
Qx
1
office reach
2
bugabo
3
kiziba
4
misenyi
5
katerero
6
rubale
7
muleba town
8
kamachumu
9
izigo
10
muleba islands
11
rulanda
12
nshamba
13
omurushaka
14
nkwenda
15
mabira
16
biharamulo
17
bwanga
18
chato
19
ngara
20
benaco
21
geita
22
sengerema
23
mwanza city
24
mara
25
shinyanga
26
ilala
27
kinondoni
28
temeke
29
zanzibar
30
tabora
31
kigoma
32
mbeya
33
rukwa
34
ruvuma
35
iringa
40
arusha
41
kilimanjaro
42
tanga
43
morogoro
44
dodoma
50
uganda
51
kenya
52
rwanda
53
burundi
54
zaire
55
botswana
56
egypt
70
germany
71
norway
72
sweden
99
ITF misplaced
555
non-phhm
999
Not Curr HHM HR4
Sysmiss
ITF: 5th Zone for tracking
ITF: 5th Zone for tracking
ITF: 5th Zone for tracking
ITF: 5th Zone for tracking
ITF: 5th Zone for tracking
4
2250
Qx
1
office reach
2
bugabo
3
kiziba
4
misenyi
5
katerero
6
rubale
7
muleba town
8
kamachumu
9
izigo
10
muleba islands
11
rulanda
12
nshamba
13
omurushaka
14
nkwenda
15
mabira
16
biharamulo
17
bwanga
18
chato
19
ngara
20
benaco
21
geita
22
sengerema
23
mwanza city
24
mara
25
shinyanga
26
ilala
27
kinondoni
28
temeke
29
zanzibar
30
tabora
31
kigoma
32
mbeya
33
rukwa
34
ruvuma
35
iringa
40
arusha
41
kilimanjaro
42
tanga
43
morogoro
44
dodoma
50
uganda
51
kenya
52
rwanda
53
burundi
54
zaire
55
botswana
56
egypt
70
germany
71
norway
72
sweden
99
ITF misplaced
555
non-phhm
999
Not Curr HHM HR4
Sysmiss
ITF: 6th Zone for tracking
ITF: 6th Zone for tracking
ITF: 6th Zone for tracking
ITF: 6th Zone for tracking
ITF: 6th Zone for tracking
1
2253
Qx
1
office reach
2
bugabo
3
kiziba
4
misenyi
5
katerero
6
rubale
7
muleba town
8
kamachumu
9
izigo
10
muleba islands
11
rulanda
12
nshamba
13
omurushaka
14
nkwenda
15
mabira
16
biharamulo
17
bwanga
18
chato
19
ngara
20
benaco
21
geita
22
sengerema
23
mwanza city
24
mara
25
shinyanga
26
ilala
27
kinondoni
28
temeke
29
zanzibar
30
tabora
31
kigoma
32
mbeya
33
rukwa
34
ruvuma
35
iringa
40
arusha
41
kilimanjaro
42
tanga
43
morogoro
44
dodoma
50
uganda
51
kenya
52
rwanda
53
burundi
54
zaire
55
botswana
56
egypt
70
germany
71
norway
72
sweden
99
ITF misplaced
555
non-phhm
999
Not Curr HHM HR4
Sysmiss
ITF: 7th Zone for tracking
ITF: 7th Zone for tracking
ITF: 7th Zone for tracking
ITF: 7th Zone for tracking
ITF: 7th Zone for tracking
2254
Qx
1
office reach
2
bugabo
3
kiziba
4
misenyi
5
katerero
6
rubale
7
muleba town
8
kamachumu
9
izigo
10
muleba islands
11
rulanda
12
nshamba
13
omurushaka
14
nkwenda
15
mabira
16
biharamulo
17
bwanga
18
chato
19
ngara
20
benaco
21
geita
22
sengerema
23
mwanza city
24
mara
25
shinyanga
26
ilala
27
kinondoni
28
temeke
29
zanzibar
30
tabora
31
kigoma
32
mbeya
33
rukwa
34
ruvuma
35
iringa
40
arusha
41
kilimanjaro
42
tanga
43
morogoro
44
dodoma
50
uganda
51
kenya
52
rwanda
53
burundi
54
zaire
55
botswana
56
egypt
70
germany
71
norway
72
sweden
99
ITF misplaced
555
non-phhm
999
Not Curr HHM HR4
Sysmiss
ITF: Original endzone before revisions
ITF: Original endzone before revisions
ITF: Original endzone before revisions
ITF: Original endzone before revisions
ITF: Original endzone before revisions
2237
17
Qx
1
office reach
2
bugabo
3
kiziba
4
misenyi
5
katerero
6
rubale
7
muleba town
8
kamachumu
9
izigo
10
muleba islands
11
rulanda
12
nshamba
13
omurushaka
14
nkwenda
15
mabira
16
biharamulo
17
bwanga
18
chato
19
ngara
20
benaco
21
geita
22
sengerema
23
mwanza city
24
mara
25
shinyanga
26
ilala
27
kinondoni
28
temeke
29
zanzibar
30
tabora
31
kigoma
32
mbeya
33
rukwa
34
ruvuma
35
iringa
40
arusha
41
kilimanjaro
42
tanga
43
morogoro
44
dodoma
50
uganda
51
kenya
52
rwanda
53
burundi
54
zaire
55
botswana
56
egypt
70
germany
71
norway
72
sweden
99
ITF misplaced
555
non-phhm
999
Not Curr HHM HR4
Sysmiss
ITF: End zone for tracking
ITF: End zone for tracking
ITF: End zone for tracking
ITF: End zone for tracking
ITF: End zone for tracking
2254
Qx
1
office reach
2
bugabo
3
kiziba
4
misenyi
5
katerero
6
rubale
7
muleba town
8
kamachumu
9
izigo
10
muleba islands
11
rulanda
12
nshamba
13
omurushaka
14
nkwenda
15
mabira
16
biharamulo
17
bwanga
18
chato
19
ngara
20
benaco
21
geita
22
sengerema
23
mwanza city
24
mara
25
shinyanga
26
ilala
27
kinondoni
28
temeke
29
zanzibar
30
tabora
31
kigoma
32
mbeya
33
rukwa
34
ruvuma
35
iringa
40
arusha
41
kilimanjaro
42
tanga
43
morogoro
44
dodoma
50
uganda
51
kenya
52
rwanda
53
burundi
54
zaire
55
botswana
56
egypt
70
germany
71
norway
72
sweden
99
ITF misplaced
555
non-phhm
999
Not Curr HHM HR4
ITF: Comment
ITF: Comment
ITF: Comment
ITF: Comment
ITF: Comment
29
Error: not current HHM in HR4 on roster
formally mistaken
sameas040704
sameas071204
sameas190302
sameas191408
sameas491101
Untracked: District
Untracked: District
Untracked: District
Untracked: District
Untracked: District
951
babati
biharamulo
bugando
bugarika
bukoba
bukoba rural
bukoba urban
bukombe
bunda
butimba
dk
dodoma mjini
embakasi
geita
i.muleba
ifakala
igoma
ilala
ilemela
isamilo
iyunga
kabale
kahama
kapilipoint
karagwe
kasulu
kasumba
kibondo
kichukilo
kigamboni
kilimahewa
kinondoni
kirumba
kisesa
mabatin
mabatini
magu
manyara
mbarara
mbeya mjini
mengo
misungwi
mkuyuni
moshi
mpanda
mpwapwa
muleba
musoma
mwanza mjini
mwanza urban
ngara
nyakato
nyamagana
nyamanoro
pasias
pwani
rakai
rufiji
sengerema
songea
sumbawanga
tarime
temeke
ukerewe
Untracked: Region
Untracked: Region
Untracked: Region
Untracked: Region
Untracked: Region
947
arusha
busia
cairo
dar es salaam
dk
dodoma
hoima
iringa
kagera
kampala
kibungo
kigari
kigoma
kilimanjaro
london
mara
masaka
mbarara
mbeya
morogoro
mwanza
nairobi
ngara
rakai
rukwa
ruvuma
rwanda
shinyanga
tabora
tanga
temeke
zanzibar
Untracked: Country
Untracked: Country
Untracked: Country
Untracked: Country
Untracked: Country
962
botswana
burundi
dk
egypt
england
german
kenya
norway
rwanda
sweden
tanzania
uganda
Q1 Prev HH Memb being tracked: cluster
Q1 Prev HH Memb being tracked: cluster
Q1 Prev HH Memb being tracked: cluster
Q1 Prev HH Memb being tracked: cluster
Q1 Prev HH Memb being tracked: cluster
1398
1
51
25.076
15.307
Q1 Prev HH Memb being tracked: hh no
Q1 Prev HH Memb being tracked: hh no
Q1 Prev HH Memb being tracked: hh no
Q1 Prev HH Memb being tracked: hh no
Q1 Prev HH Memb being tracked: hh no
1398
1
44
10.232
6.362
Q1 Prev HH Memb being tracked: ind no
Q1 Prev HH Memb being tracked: ind no
Q1 Prev HH Memb being tracked: ind no
Q1 Prev HH Memb being tracked: ind no
Q1 Prev HH Memb being tracked: ind no
1398
1
32
5.374
3.338
Data enter keypuncher id code
Data enter keypuncher id code
Data enter keypuncher id code
Data enter keypuncher id code
Data enter keypuncher id code
1398
1
2
3
4
5
6
8
9
Enumerator id code
Enumerator id code
Enumerator id code
Enumerator id code
Enumerator id code
1398
1
2
3
4
5
6
8
9
10
Ind Tracking Form number (usually only 1 per person)
Ind Tracking Form number (usually only 1 per person)
Ind Tracking Form number (usually only 1 per person)
Ind Tracking Form number (usually only 1 per person)
Ind Tracking Form number (usually only 1 per person)
1398
1
2
3
Age of previous HH member
Age of previous HH member
Age of previous HH member
Age of previous HH member
Age of previous HH member
1378
20
10
92
28.932
12.117
Sex of previous HH member
Sex of previous HH member
Sex of previous HH member
Sex of previous HH member
Sex of previous HH member
1383
15
1
male
2
female
Sysmiss
Day of completion
Day of completion
Day of completion
Day of completion
Day of completion
1385
13
1
31
16.788
8.217
Month of completion
Month of completion
Month of completion
Month of completion
Month of completion
1386
12
1
2
3
4
5
6
8
9
10
11
Sysmiss
Year of completion
Year of completion
Year of completion
Year of completion
Year of completion
1398
2003
2004
Coresident #1: Cluster no
Coresident #1: Cluster no
Coresident #1: Cluster no
Coresident #1: Cluster no
Coresident #1: Cluster no
252
1146
1
51
23.46
15.499
Coresident #1: HH no
Coresident #1: HH no
Coresident #1: HH no
Coresident #1: HH no
Coresident #1: HH no
253
1145
1
44
11.162
6.402
Coresident #1: Ind no
Coresident #1: Ind no
Coresident #1: Ind no
Coresident #1: Ind no
Coresident #1: Ind no
253
1145
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
Sysmiss
Coresident #2: Cluster no
Coresident #2: Cluster no
Coresident #2: Cluster no
Coresident #2: Cluster no
Coresident #2: Cluster no
103
1295
2
51
23.583
14.492
Coresident #2: HH no
Coresident #2: HH no
Coresident #2: HH no
Coresident #2: HH no
Coresident #2: HH no
103
1295
2
33
10.291
5.634
Coresident #2: Ind no
Coresident #2: Ind no
Coresident #2: Ind no
Coresident #2: Ind no
Coresident #2: Ind no
103
1295
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
Sysmiss
Coresident #3: Cluster no
Coresident #3: Cluster no
Coresident #3: Cluster no
Coresident #3: Cluster no
Coresident #3: Cluster no
42
1356
4
51
26.69
12.938
Coresident #3: HH no
Coresident #3: HH no
Coresident #3: HH no
Coresident #3: HH no
Coresident #3: HH no
42
1356
2
3
4
5
7
8
9
10
11
12
13
14
15
16
17
18
19
20
Sysmiss
Coresident #3: Ind no
Coresident #3: Ind no
Coresident #3: Ind no
Coresident #3: Ind no
Coresident #3: Ind no
42
1356
4
5
6
7
8
9
11
12
14
18
Sysmiss
Coresident #4: Cluster no
Coresident #4: Cluster no
Coresident #4: Cluster no
Coresident #4: Cluster no
Coresident #4: Cluster no
29
1369
4
50
26.759
13.117
Coresident #4: HH no
Coresident #4: HH no
Coresident #4: HH no
Coresident #4: HH no
Coresident #4: HH no
29
1369
2
3
4
5
7
8
9
10
11
12
13
14
16
17
18
19
Sysmiss
Coresident #4: Ind no
Coresident #4: Ind no
Coresident #4: Ind no
Coresident #4: Ind no
Coresident #4: Ind no
29
1369
5
6
7
8
9
10
11
13
Sysmiss
Coresident #5: Cluster no
Coresident #5: Cluster no
Coresident #5: Cluster no
Coresident #5: Cluster no
Coresident #5: Cluster no
15
1383
8
49
29.667
12.087
Coresident #5: HH no
Coresident #5: HH no
Coresident #5: HH no
Coresident #5: HH no
Coresident #5: HH no
15
1383
2
3
4
7
8
9
11
12
13
16
17
Sysmiss
Coresident #5: Ind no
Coresident #5: Ind no
Coresident #5: Ind no
Coresident #5: Ind no
Coresident #5: Ind no
15
1383
6
7
9
11
13
Sysmiss
Coresident #6: Cluster no
Coresident #6: Cluster no
Coresident #6: Cluster no
Coresident #6: Cluster no
Coresident #6: Cluster no
8
1390
8
49
29.375
14.909
Coresident #6: HH no
Coresident #6: HH no
Coresident #6: HH no
Coresident #6: HH no
Coresident #6: HH no
8
1390
2
4
7
11
12
16
17
Sysmiss
Coresident #6: Ind no
Coresident #6: Ind no
Coresident #6: Ind no
Coresident #6: Ind no
Coresident #6: Ind no
8
1390
7
10
Sysmiss
4: Relation.of informant to person to track
4: Relation.of informant to person to track
4: Relation.of informant to person to track
4: Relation.of informant to person to track
4: Relation.of informant to person to track
1353
45
1
rel/friend
2
neighbor
3
employer
4
teacher
5
cmtyLeader
6
other
Sysmiss
4: Relationship (other)
4: Relationship (other)
4: Relationship (other)
4: Relationship (other)
4: Relationship (other)
17
FATHER
GRANDMOM
HERSELF
HIMSELF
MOTHER
NO RELATIONSHIP
NONE
SELF EMPLOYMENT
SERVANT OUT
X HUSBAND
YEYE MWENYEWE
5A: Country
5A: Country
5A: Country
5A: Country
5A: Country
1382
16
1
Tanzania
2
Uganda
3
Kenya
6
other
Sysmiss
5A: Country (other)
5A: Country (other)
5A: Country (other)
5A: Country (other)
5A: Country (other)
13
BOTSWANA
EGYPT
ENGLAND
GERMANY
NORWAY
RWANDA
Rwanda
SWDEN
ZAIRE
5A: Region
5A: Region
5A: Region
5A: Region
5A: Region
1320
78
1
DODOMA
2
ARUSHA
3
KILIMANJARO
4
TANGA
5
MOROGORO
6
PWANI
7
DAR ES SALAAM
8
LINDI
9
MTWARA
10
RUVUMA
11
IRINGA
12
MBEYA
13
SINGIDA
14
TABORA
15
RUKWA
16
KIGOMA
17
SHINYANGA
18
KAGERA
19
MWANZA
20
MARA
21
MANYARA
Sysmiss
5A: Region (other)
5A: Region (other)
5A: Region (other)
5A: Region (other)
5A: Region (other)
27
BUNYORO
CAIRO
ESSB-SWABURY
KAGERA
KAMPALA
KASESE
KASSESE
KIGALI
LAKAI
MASAKA
MBARARA
MUSOMA
MWANZA
NAIROBI
RAKAI
5A: District in Kagera
5A: District in Kagera
5A: District in Kagera
5A: District in Kagera
5A: District in Kagera
1238
160
NOT KAGERA
1
KARAGWE
2
BUKOBA RURAL
3
MULEBA
4
BIHARAMULO
5
NGARA
6
BUKOBA URBAN
Sysmiss
5A: District outside Kagera
5A: District outside Kagera
5A: District outside Kagera
5A: District outside Kagera
5A: District outside Kagera
394
ARUMERU
ARUSHA
ARUSHA URBAN
BABATI/ MANYARA
BUKOBA
BUKOBE
BUKOMBE
BUNDA
CHUO-KIKUU
DAR ES SALAAM
DODOMA
DODOMA MJINI
DODOMA URBAN
EMBAKASI
GEITA
IGOMA
IGUNGA
ILALA
ILALALA
ILEMELA
IRINGA
ISAKA
IYUNGA
KAHAMA
KAHAWA
KAKUTOO
KAKUUTO
KAMPALA ( R )
KARAGWE
KASESE
KASULU
KAWE
KIBAHA
KIBONDO
KICHUKIRO
KIDATU
KIGALI
KIGAMBONI
KIGOMA
KIGOMA URBAN
KILIMAHEWA
KILOSA
KIMARA
KINONDONI
KIOTERA
KISARAWE
KWIMBA
LAKAI
MAGU
MASAKA
MBARARA
MBEYA MJINI
MEATU
MISUNGWI
MOROGORO
MOSHI
MPANDA
MPANDE
MPWAPWA
MULEBA
MUSOMA
MUSOMA MJINI
MWANJERWA
MWANZA
MWANZA MJINI
MWANZA RURAL
MWANZA URBAN
MWANZA VIJIJINI
NEAR AIRPORT
NGARA
NYABASABE
NYAKATO
NYAMAGANA
NZEGA
PASIASI
RAKAI
RAMBU
SENGEREMA
SERENGETI
SHINYANGA
SHINYANGA MJINI
SHINYANGA URBAN
SONGEA
TABATA
TABORA
TABORA MJINI
TABORA URBAN
TANGA
TARIME
TEMEKE
UBUNGO
UKEREWE
USHIROMBO
5B: Marital status
5B: Marital status
5B: Marital status
5B: Marital status
5B: Marital status
1355
43
1
single
2
married
Sysmiss
5D: Why moved to current residence
5D: Why moved to current residence
5D: Why moved to current residence
5D: Why moved to current residence
5D: Why moved to current residence
1398
1
Look for work/to work
2
Look for land
3
School
4
Follow spouse/ parents
5
Marriage
6
Separation/ divorce
7
Look for place to stay
8
Seek medical treatment
9
To utilise inheritance
10
Don’t know
11
Other
5D: Why moved (other)
5D: Why moved (other)
5D: Why moved (other)
5D: Why moved (other)
5D: Why moved (other)
38
AFTER DEATHOF SON RETURNED HOME
ALIPOTEA
CARING FOR THE SICK HUSBAND
DEATH OF SPOUSE
FOLLOW CHURCH FULL GOSPAL BIBLE FELLOWSHIP
FOLLOW SIBLING(S)
KUSALIMIA
LOOK AFTER SICK FAHTER
MENTAL ILINESS
MOVED TO PARENTS
PARENTS DEATH
POSTED TO WORK
PREACH
PRISON
PROBLEMS WITH PARENTS
RETURNED HOME
SEPARATED WITH HUSBAND
STAY WITH AUNT
STAY WITH UNCLE
TO ASSIST HER SISTER IN DOMESTIC WORK
TO DO BUSINESS
TO FOLLOW HIS SON / DAR
UTORO
VISIT/HOLIDAY
5F: Year moved out of village
5F: Year moved out of village
5F: Year moved out of village
5F: Year moved out of village
5F: Year moved out of village
1398
2003
1829.652
555.735
5G: Year moved to current residence
5G: Year moved to current residence
5G: Year moved to current residence
5G: Year moved to current residence
5G: Year moved to current residence
1398
2003
1748.58
661.686
5I: Job
5I: Job
5I: Job
5I: Job
5I: Job
932
A KINDERGATEN TEACHER AT HER OWN PLACE
A PUPIL
A STUDENT KITENGO CHA SHERIA
ACCOUNTANT OFFICER
ACSEDO (BI/ BUSINESS)
ADVOCATE
AFISA BIASHARA WA WILAYA
AFISA MIFUGO
ANAPAKUA MIZIGO BANDARINI DSM
ANAPIMA MAZIWA
ANAUZA DUKANI
ANAUZA MADAWA BARIDI
ARCHITECTURE
ASECDO BAISKELI KASHOZI ROAD
ASECDO--PIKIPIKI
ASKARI
ASKARI MAGEREZA
ASKARI POLISI
BAR MAID
BARMAID
BIASHARA
BIASHARA NDOGO NDOGO
BIASHARA NDOGONDOGO
BODABODA
BUILDER
BUSINESS (SELLING ALCOHOL)
BUSINESS PERSON
BUSINESS(SHOP&SALOON)
CARPENTER
CARPENTRY
CASUAL LABOUR
CATTLE KEEPER
CAUSUAL LABOURER
CHLORIS ( KUWEKA DAWA KWENYE MAJI
COMMODITIES WHOLE SALLER
COMPUTER OPERATOR
CONDUCTER
COOK
COOK OF FISHERMAN
DEREVA
DIRECTOR KAMU KAMU AUTO PARTS
DK
DOCTOR
DOMESTIC WORK
DRIVER
DRIVER BODABODA
DRIVING
ELDERLY
FARMEER
FARMER
FARMER (MKATA MBAO0
FARMER AND FISHERMAN
FARMER,BAISKALTRANSPORTATION
FARMER`
FARMING
FISH BUSNESSMAN
FISHER
FISHER & POTTER
FISHERMAN
FISHERMAN ( BOAT CAPTAIN )
FISHING
FUNDI CHEREHANI
FUNDI UJENZI
FUNDI BAISIKELI
FUNDI BAISKELI STENDI YA BUKOBA
FUNDI CHEREANI
FUNDI CHEREHANI
FUNDI MAGARI
FUNDI MAKANIKA
FUNDI MWASHI
FUNDI REDIO
FUNDI SELEMALA
FUNDI UJENZI
FUNDI UJENZI(MASON)
FUNDI UMEME
FUNDI UMEME TANESCO
FUNDI WA MAGARI
H/ WIFE SHOPKEEPER
HAIRCUTER
HOME CARE
HOTEL
HOTEL ( CAFÉ )
HOUSE BOY/GIRL
HOUSE CARE
HOUSE KEEPER
HOUSE WIFE ( PEASANT )
HOUSE WIFE TAILOIR
HOUSE WORK
HOUSEBOY
HOUSEGIRL
HOUSEWIFE
HOUSEWIFE/FARMER
HOUSEWIFE/PEASANT
HOUSEWORK
HOUSEWORKER
HUOSEWIFE/PEASANT
JOBLESS
JWT ( SOLDIER )
KATIBU TARAFA MULEBA
KAZI NDOGO NDOGO ( ASECDO)
KAZI NDOGONDOGO
KIABARUA MACHIMBONI
KIBARUA
KIBARUA-CAUSUAL LABOURER
KIBERUA MUTEX
KUUZA NGUO MNADANI
LABOLATORY TECHNICIAN
MACHANICAL
MACHING GUY ( MACHINGA )
MACHINGA
MACHINGA WA NGUO
MAFUNZO YA JESHI
MAKANIKA
MAMA WA NYUMBANI
MAMA LISHE ( MAMA NTILIE ) HOTRLIER
MAMA NTILIE
MAMA WA NYUBANI
MAMA WA NYUMBANI
MANAGER
MASON
MASON & BRICK LAYING
MBEBA MIZIGO
MCHIMBA MADINI
MECHANICAL TECHNICIAN
MERCHANT (FISH)
MFANYA BIASHARA WA MITUMBA
MFANYABIASHARA
MFANYABIASHARA NDOGONDOGO
MFANYABIASHARA YA SAMAKI
MFANYAKAZI
MFANYAKAZI KWA WACHINA
MFUGAJI
MFYATUAJI WA MATOFALI
MGAMBO
MGANGA--IDARA YA UKIMWI
MHUDUMU
MJENZI
MKAANGA SAMAKI
MKULIMA
MKULIMA( MWENYEKITI WA KITONGOJI)
MLINZI
MMACHINGA
MOTOR VEHICLE MECHANICAL
MPIGA DEBE
MPIGA DEBE STAND
MPISHI
MPISHI HOTELINI
MSAFIRISHAJI HOSPITAL
MSOMAJI MITA
MTENDAJI WA KATA
MUHUDUMU
MUHUDUMU HOTELINI
MUHUZA MITUMBA
MUINJILISTI
MUUZA DUKA
MUUZAJI WA SAMAKI SOKONI
MVUV, MKULIMA
MVUVI
MVUVI.
MWALIMU
MWANAFUNZI
MWANAFUNZI WA UMAKANIKA
MWUZA MITUMBA
NIL( MENTAL ILL)
NO PROFFESSION
NONE
NOT KNOWN
NURSE
OFISI ATENDAT
PASTOR
PASTOR ( FGB )
PEASANT
PEASANT + WORKING AS HOTELS MANAGER
PEASANT& FISHERMAN
PERSONAL SECRETARY
PET TRAIDER
PHARMACIST
POLICE OFFICER
POLICEMAN
POLISI ( FFU )
PREACHER
PRIEST
PRIVATE FARM
RELIGIOUS TEACHER
ROAD CONSTRUCTION
SAW MAN
SECRETARY
SECURITY
SELLER OF PETROL
SELLING BUNDLE OF GRASS
SELLING CHARCOAL
SELLING MILK
SELLING OF FISH
SERVANT
SHOP ATTENDANT
SHOPKEEPER
SMALL BUSNESS
SOLDIER
STUDENT
TAILOR
TAX DRIVER
TEACHER
TELLEPHONE OPERATOR
TRADER
TRADING FISH
TRADITION HEALER
TRAFFIC POLICE
TRAIDING ON GARMETS & HH DURABLES
UCHORAJI
UNIVERSITY STUDENT
USUSI
VIDEO SHOWER
WAITER
WATCHMAN/WATCHWOMAN
WELDER
WIFE
WORKING IN A HOTEL
WORKS IN KAGERA SUGAR
5M: Month last visited village
5M: Month last visited village
5M: Month last visited village
5M: Month last visited village
5M: Month last visited village
815
583
1
2
3
4
5
6
7
8
9
10
11
12
Sysmiss
5N: Year visited village
5N: Year visited village
5N: Year visited village
5N: Year visited village
5N: Year visited village
1063
335
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
Sysmiss
5N: Month expected to visit
5N: Month expected to visit
5N: Month expected to visit
5N: Month expected to visit
5N: Month expected to visit
198
1200
1
2
3
4
5
6
7
8
9
10
11
12
Sysmiss
5N: Year expected to visit
5N: Year expected to visit
5N: Year expected to visit
5N: Year expected to visit
5N: Year expected to visit
230
1168
2003
2004
2005
2006
Sysmiss
Supervisor: Sufficient info to track?
Supervisor: Sufficient info to track?
Supervisor: Sufficient info to track?
Supervisor: Sufficient info to track?
Supervisor: Sufficient info to track?
1397
1
1
yes
2
no
5
Sysmiss
Other informant in village or nearby #1
Other informant in village or nearby #1
Other informant in village or nearby #1
Other informant in village or nearby #1
Other informant in village or nearby #1
1397
1
1
yes
2
no
Sysmiss
Other informant in village or nearby #2
Other informant in village or nearby #2
Other informant in village or nearby #2
Other informant in village or nearby #2
Other informant in village or nearby #2
1393
5
1
yes
2
no
Sysmiss
5A: Urban or rural
5A: Urban or rural
5A: Urban or rural
5A: Urban or rural
5A: Urban or rural
1398
1
1991-1994 Cluster ID
1991-1994 Cluster ID
1991-1994 Cluster ID
1991-1994 Cluster ID
1991-1994 Cluster ID
841
1
51
25.36
14.573
1991-1994 HH ID
1991-1994 HH ID
1991-1994 HH ID
1991-1994 HH ID
1991-1994 HH ID
841
1
44
10.383
6.408
DEO CODE
DEO CODE
DEO CODE
DEO CODE
DEO CODE
841
4
58
38
2.352
DEO DATE
DEO DATE
DEO DATE
DEO DATE
DEO DATE
841
1
31
22.051
6.314
DEO MONTH
DEO MONTH
DEO MONTH
DEO MONTH
DEO MONTH
841
3
4
5
6
7
11
15
ENUMERATOR CODE
ENUMERATOR CODE
ENUMERATOR CODE
ENUMERATOR CODE
ENUMERATOR CODE
841
2
58
37.502
12.88
MORT QX: DAY
MORT QX: DAY
MORT QX: DAY
MORT QX: DAY
MORT QX: DAY
841
1
99
16.328
11.149
MORT QX: MONTH
MORT QX: MONTH
MORT QX: MONTH
MORT QX: MONTH
MORT QX: MONTH
841
1
99
3.816
6.781
HAVE ANY PREVIOUS HOUSEHOLD MEMBERS DIED
HAVE ANY PREVIOUS HOUSEHOLD MEMBERS DIED
HAVE ANY PREVIOUS HOUSEHOLD MEMBERS DIED
HAVE ANY PREVIOUS HOUSEHOLD MEMBERS DIED
HAVE ANY PREVIOUS HOUSEHOLD MEMBERS DIED
840
1
1
YES
2
NO
Sysmiss
RELATIONSHIP OF RESPONDENT TO OLD TRACKING FORM
RELATIONSHIP OF RESPONDENT TO OLD TRACKING FORM
RELATIONSHIP OF RESPONDENT TO OLD TRACKING FORM
RELATIONSHIP OF RESPONDENT TO OLD TRACKING FORM
RELATIONSHIP OF RESPONDENT TO OLD TRACKING FORM
572
269
1
PHHM
2
new hhm
3
OthRel
4
Other
9
Sysmiss
1991-1994 INDIVIDUAL MEMBER ID
1991-1994 INDIVIDUAL MEMBER ID
1991-1994 INDIVIDUAL MEMBER ID
1991-1994 INDIVIDUAL MEMBER ID
1991-1994 INDIVIDUAL MEMBER ID
452
01
02
03
04
05
06
07
08
09
10
11
12
14
26
DK
2004 INDIVIDUAL MEMBER ID
2004 INDIVIDUAL MEMBER ID
2004 INDIVIDUAL MEMBER ID
2004 INDIVIDUAL MEMBER ID
2004 INDIVIDUAL MEMBER ID
41
01
02
03
04
2004 HH ID
2004 HH ID
2004 HH ID
2004 HH ID
2004 HH ID
42
011901
020704
031001
041603
050801
051301
060101
090101
090501
120201
120602
120701
151901
170901
190102
200401
210403
220901
230102
250301
270601
270801
291101
310501
321805
331301
340903
360801
370401
391001
391601
401201
420601
430201
430902
431501
440602
453001
490501
491501
500101
RELATIONSHIP OF RESPONDENT
RELATIONSHIP OF RESPONDENT
RELATIONSHIP OF RESPONDENT
RELATIONSHIP OF RESPONDENT
RELATIONSHIP OF RESPONDENT
25
BROTHER OF PREVIOUS HEAD
CLOSE FRIEND
DK
FELLOW VILLAGERS
FRIEND
NEIGHBOUR
NEIGHBOUR/FREIND
NO RELATION
STREET SECRETARY
TEN CELL LEADER
TENANT
VILLAGE LEADER
KHDS1991-94 CLUSTER
KHDS1991-94 CLUSTER
KHDS1991-94 CLUSTER
KHDS1991-94 CLUSTER
KHDS1991-94 CLUSTER
988
1
51
25.767
14.839
KHDS1991-94 HH CODE IN CLUSTER
KHDS1991-94 HH CODE IN CLUSTER
KHDS1991-94 HH CODE IN CLUSTER
KHDS1991-94 HH CODE IN CLUSTER
KHDS1991-94 HH CODE IN CLUSTER
988
1
44
10.752
6.711
1991-1994 Individual Member ID (M4)
1991-1994 Individual Member ID (M4)
1991-1994 Individual Member ID (M4)
1991-1994 Individual Member ID (M4)
1991-1994 Individual Member ID (M4)
988
1
34
4.234
4.196
KHDS 6-digit PERSON PANEL ID
KHDS 6-digit PERSON PANEL ID
KHDS 6-digit PERSON PANEL ID
KHDS 6-digit PERSON PANEL ID
KHDS 6-digit PERSON PANEL ID
988
010105
010204
010301
010302
010602
010709
010714
010901
010902
011001
011002
011003
011301
011901
020201
020203
020213
020401
020602
020603
020701
020801
020901
021101
021301
021401
021403
021601
021701
021902
030108
030110
030301
030401
030403
030404
030601
030602
030607
030703
030804
030811
030903
030904
031001
031002
031101
031104
031506
031601
032502
040103
040201
040310
040404
040405
040406
040501
040502
040507
040601
040602
040901
040907
041001
041002
041003
041101
041102
041113
041201
041203
041211
041301
041302
041401
041403
041503
041601
041602
041701
050302
050303
050304
050402
050708
050709
050801
050802
050804
050903
051101
051102
051202
051210
051301
051303
051402
051509
051907
060102
060103
060104
060401
060403
060501
060503
060504
060701
060901
060902
060904
061001
061103
061209
061301
061501
061504
061507
061701
061801
061802
061804
061901
061902
062003
062006
062101
062201
062601
062603
070101
070105
070204
070316
070701
070702
070703
070705
070804
070901
070903
070904
070911
071001
071010
071110
071201
071205
071303
071308
071501
071502
071509
071601
071607
071709
071712
080106
080201
080203
080302
080501
080701
080708
080802
080903
081001
081003
081101
081102
081104
081201
081401
081708
090101
090104
090201
090204
090210
090402
090405
090501
090603
090703
090714
090907
091005
091402
091501
091801
091902
091915
091918
091919
092001
092002
100101
100102
100309
100604
100605
100705
100901
101102
101306
101401
101403
101404
101407
101408
101503
101602
101607
110104
110203
110301
110502
110507
110602
110607
110712
110802
110901
111001
111005
111201
111301
111401
111402
111501
111502
111511
111605
112302
112304
112308
120207
120301
120401
120503
120601
120703
120801
120803
120901
121005
121201
121301
121401
121402
121404
130201
130402
130501
130801
130903
131012
131101
131201
131301
131302
131401
131402
131801
131802
131805
132001
132002
132004
140401
140501
140801
140901
140908
141001
141003
141101
141105
141201
141404
141408
141502
141503
141605
141606
141705
150201
150203
150204
150301
150404
150410
150501
150701
150702
150703
150802
150805
150812
150901
151002
151101
151301
151304
151501
151513
151606
151611
151805
151901
152105
160101
160201
160401
160405
160604
160606
160608
160610
161301
161303
161404
161501
161601
161608
161801
161907
170201
170301
170401
170503
170607
170702
170705
170801
170802
170902
171001
171104
171401
171601
171602
172002
172003
172103
180101
180402
180408
180603
180604
180701
180801
181101
181201
181203
181207
181214
181401
181402
190304
190401
190406
190407
190501
190608
190902
190912
191001
191002
191009
191205
191307
191405
191501
191502
191503
191701
191706
191712
191713
191801
191805
191901
191903
200103
200104
200201
200305
200306
200401
200502
200701
200807
200901
201001
201004
201201
201402
201501
201601
201602
201712
210102
210202
210301
210305
210308
210310
210313
210401
210405
210902
210903
210910
211501
211601
220401
220501
220505
220704
220712
220713
220802
220805
220806
220901
220902
220909
221107
221301
221402
221510
221607
230102
230103
230106
230201
230203
230301
230801
230805
230806
231101
231401
231404
231601
231603
231604
231801
232001
232101
232102
232103
232206
240602
240801
240802
241002
241206
241212
241408
241501
250203
250301
250302
250802
250803
251206
251401
251509
251510
251613
251709
251714
260318
260401
260508
261401
261408
261501
261502
261510
261607
262201
262203
270101
270102
270202
270301
270602
270606
270702
270804
270901
271002
271109
271203
271301
271305
271401
271504
271506
272201
280101
280102
280203
280302
280304
280701
280801
280805
280905
281301
281303
281403
281404
281602
281705
282401
282406
282407
282409
290201
290205
290401
290403
290408
290501
290509
290602
290605
290901
290902
291003
291004
291101
291102
291103
291209
291210
291401
291501
291604
300101
300302
300502
300503
300504
300606
300701
300702
300902
300904
300906
301001
301003
301101
301103
301601
310106
310207
310402
310507
310602
310803
310811
310904
311016
311101
311201
311202
311211
311402
311403
311404
312401
312407
320101
320106
320107
320111
320114
320401
320721
320812
320813
320901
320904
321201
321205
321301
321302
321307
321311
321314
321316
321317
321406
321501
321801
321901
322301
322302
322306
322322
322327
322328
322331
322334
330101
330109
330301
330306
330307
330409
330510
330601
330602
330603
330604
330801
330802
330902
330908
331301
331601
331602
331707
331713
331714
331715
340102
340301
340410
340601
340609
340701
340702
340801
340901
340902
341001
341502
341701
341801
350104
350408
350409
350507
350602
350606
350807
350808
350901
350902
350904
351001
351002
351106
351211
351212
351307
351401
351507
351608
360104
360202
360402
360510
360703
360805
360809
361101
361109
361110
361401
361402
361602
361801
370101
370102
370204
370401
370405
370507
370508
370601
370602
370701
370901
371001
371003
371301
371302
371501
371504
371508
371701
371801
380304
380305
380401
380403
380411
380503
380510
380601
380603
380605
380701
380703
380706
380801
380902
380909
381011
381101
381104
381107
381202
381207
381305
381310
381401
381402
381404
381601
381602
381701
381702
381703
381708
381709
381802
381808
390402
390601
390801
390807
391001
391003
391101
391114
391402
391602
391606
391710
391803
391807
391901
400101
400103
400203
400307
400402
400403
400508
400601
400702
400803
400806
400811
400902
401004
401008
401101
401102
401201
401301
401501
401503
401604
401611
401803
401805
401810
402001
402003
402005
410201
410301
410302
410502
410503
410514
410601
410608
410609
410701
410704
410706
410707
410801
410807
410901
410902
411101
411201
411202
411207
411301
411302
411307
411401
411501
411601
411602
411603
411701
411702
411801
420601
420801
420803
420902
421004
421501
421504
421505
421512
421701
421702
421705
421706
422106
422203
422802
422803
423503
430103
430113
430117
430118
430119
430201
430502
430609
430701
430801
430809
430907
430915
431101
431207
431301
431305
431309
431502
431602
431606
431701
431801
431809
431811
440101
440302
440303
440304
440312
440313
440401
440402
440601
440604
441002
441003
441301
441601
441603
442002
442101
442301
442401
443401
443601
450501
450505
450601
451201
451706
451801
451802
453001
453003
453006
453010
453018
453301
453304
453305
454401
454402
454404
454408
460801
460802
460803
461002
461601
461602
461608
461609
461610
461701
461703
461704
461715
461727
462403
470207
470505
470602
470802
470806
473902
473910
473911
480305
480609
480801
480815
481101
481102
481109
481110
481111
481301
481310
481612
481613
481614
481615
481901
482002
490102
490204
490206
490502
490601
490602
490603
490701
490803
490806
490901
490903
491010
491102
491103
491310
491401
491405
491408
491505
491606
500103
500104
500109
500601
500612
501001
501201
501210
501314
501411
501412
501801
501804
502102
502103
502110
510108
510201
510212
510901
510902
510906
511003
511005
511101
511104
511201
511305
511403
511406
511412
511501
Mortality Qx ID
Mortality Qx ID
Mortality Qx ID
Mortality Qx ID
Mortality Qx ID
988
1
2
3
4
5
6
7
8
M05 In what year did [NAME] die?
M05 In what year did [NAME] die?
M05 In what year did [NAME] die?
M05 In what year did [NAME] die?
M05 In what year did [NAME] die?
967
21
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
Sysmiss
M06 Was [NAME] living with any PHHM when he/she died?
M06 Was [NAME] living with any PHHM when he/she died?
M06 Was [NAME] living with any PHHM when he/she died?
M06 Was [NAME] living with any PHHM when he/she died?
M06 Was [NAME] living with any PHHM when he/she died?
987
1
1
YES
2
NO
9
DK
Sysmiss
M07 A. With whom did the deceased live with when he/she died?
M07 A. With whom did the deceased live with when he/she died?
M07 A. With whom did the deceased live with when he/she died?
M07 A. With whom did the deceased live with when he/she died?
M07 A. With whom did the deceased live with when he/she died?
787
01
02
03
04
05
06
07
08
09
10
11
12
13
14
30
M07 B. With whom did the deceased live with when he/she died?
M07 B. With whom did the deceased live with when he/she died?
M07 B. With whom did the deceased live with when he/she died?
M07 B. With whom did the deceased live with when he/she died?
M07 B. With whom did the deceased live with when he/she died?
678
01
02
03
04
05
06
07
08
09
10
11
12
13
15
17
19
M07 C. With whom did the deceased live with when he/she died?
M07 C. With whom did the deceased live with when he/she died?
M07 C. With whom did the deceased live with when he/she died?
M07 C. With whom did the deceased live with when he/she died?
M07 C. With whom did the deceased live with when he/she died?
574
01
02
03
04
05
06
07
08
09
10
11
12
13
15
16
17
19
M07 D. With whom did the deceased live with when he/she died?
M07 D. With whom did the deceased live with when he/she died?
M07 D. With whom did the deceased live with when he/she died?
M07 D. With whom did the deceased live with when he/she died?
M07 D. With whom did the deceased live with when he/she died?
463
01
02
03
04
05
06
07
08
09
10
11
12
13
15
16
17
18
M07 E. With whom did the deceased live with when he/she died?
M07 E. With whom did the deceased live with when he/she died?
M07 E. With whom did the deceased live with when he/she died?
M07 E. With whom did the deceased live with when he/she died?
M07 E. With whom did the deceased live with when he/she died?
341
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
M07 F. With whom did the deceased live with when he/she died?
M07 F. With whom did the deceased live with when he/she died?
M07 F. With whom did the deceased live with when he/she died?
M07 F. With whom did the deceased live with when he/she died?
M07 F. With whom did the deceased live with when he/she died?
254
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
M07 G. With whom did the deceased live with when he/she died?
M07 G. With whom did the deceased live with when he/she died?
M07 G. With whom did the deceased live with when he/she died?
M07 G. With whom did the deceased live with when he/she died?
M07 G. With whom did the deceased live with when he/she died?
190
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
18
19
28
M07 H. With whom did the deceased live with when he/she died?
M07 H. With whom did the deceased live with when he/she died?
M07 H. With whom did the deceased live with when he/she died?
M07 H. With whom did the deceased live with when he/she died?
M07 H. With whom did the deceased live with when he/she died?
134
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
17
M07 I. With whom did the deceased live with when he/she died?
M07 I. With whom did the deceased live with when he/she died?
M07 I. With whom did the deceased live with when he/she died?
M07 I. With whom did the deceased live with when he/she died?
M07 I. With whom did the deceased live with when he/she died?
86
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
M08 Did [NAME] live with any PHHM two years before he died
M08 Did [NAME] live with any PHHM two years before he died
M08 Did [NAME] live with any PHHM two years before he died
M08 Did [NAME] live with any PHHM two years before he died
M08 Did [NAME] live with any PHHM two years before he died
985
3
1
YES
2
NO
9
DK
Sysmiss
M09 A. With whom did the deceased live two years before he/she died?
M09 A. With whom did the deceased live two years before he/she died?
M09 A. With whom did the deceased live two years before he/she died?
M09 A. With whom did the deceased live two years before he/she died?
M09 A. With whom did the deceased live two years before he/she died?
820
01
02
03
04
05
06
07
08
09
1
10
11
12
13
14
16
M09 B. With whom did the deceased live two years before he/she died?
M09 B. With whom did the deceased live two years before he/she died?
M09 B. With whom did the deceased live two years before he/she died?
M09 B. With whom did the deceased live two years before he/she died?
M09 B. With whom did the deceased live two years before he/she died?
714
01
02
03
04
05
06
07
08
09
10
11
12
13
15
17
19
M09 C. With whom did the deceased live two years before he/she died?
M09 C. With whom did the deceased live two years before he/she died?
M09 C. With whom did the deceased live two years before he/she died?
M09 C. With whom did the deceased live two years before he/she died?
M09 C. With whom did the deceased live two years before he/she died?
598
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
19
26
M09 D. With whom did the deceased live two years before he/she died?
M09 D. With whom did the deceased live two years before he/she died?
M09 D. With whom did the deceased live two years before he/she died?
M09 D. With whom did the deceased live two years before he/she died?
M09 D. With whom did the deceased live two years before he/she died?
479
01
02
03
04
05
06
07
08
09
10
11
12
13
16
17
M09 E. With whom did the deceased live two years before he/she died?
M09 E. With whom did the deceased live two years before he/she died?
M09 E. With whom did the deceased live two years before he/she died?
M09 E. With whom did the deceased live two years before he/she died?
M09 E. With whom did the deceased live two years before he/she died?
366
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
18
19
M09 F. With whom did the deceased live two years before he/she died?
M09 F. With whom did the deceased live two years before he/she died?
M09 F. With whom did the deceased live two years before he/she died?
M09 F. With whom did the deceased live two years before he/she died?
M09 F. With whom did the deceased live two years before he/she died?
273
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
18
M09 G. With whom did the deceased live two years before he/she died?
M09 G. With whom did the deceased live two years before he/she died?
M09 G. With whom did the deceased live two years before he/she died?
M09 G. With whom did the deceased live two years before he/she died?
M09 G. With whom did the deceased live two years before he/she died?
203
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
19
M09 H. With whom did the deceased live two years before he/she died?
M09 H. With whom did the deceased live two years before he/she died?
M09 H. With whom did the deceased live two years before he/she died?
M09 H. With whom did the deceased live two years before he/she died?
M09 H. With whom did the deceased live two years before he/she died?
137
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
28
M09 I. With whom did the deceased live two years before he/she died?
M09 I. With whom did the deceased live two years before he/she died?
M09 I. With whom did the deceased live two years before he/she died?
M09 I. With whom did the deceased live two years before he/she died?
M09 I. With whom did the deceased live two years before he/she died?
93
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
M10 Did [NAME] die as the result of an illness?
M10 Did [NAME] die as the result of an illness?
M10 Did [NAME] die as the result of an illness?
M10 Did [NAME] die as the result of an illness?
M10 Did [NAME] die as the result of an illness?
986
2
1
YES
2
NO
3
DK
Sysmiss
M11 For how long suffering from this illness or condition before he/she died?
M11 For how long suffering from this illness or condition before he/she died?
M11 For how long suffering from this illness or condition before he/she died?
M11 For how long suffering from this illness or condition before he/she died?
M11 For how long suffering from this illness or condition before he/she died?
828
160
999
5.667
49.097
M11 for how long suffering: Time Unit
M11 for how long suffering: Time Unit
M11 for how long suffering: Time Unit
M11 for how long suffering: Time Unit
M11 for how long suffering: Time Unit
828
160
3
DAY
4
WEEK
5
MONTH
6
YEAR
9
Sysmiss
M12 Was the illness ever diagnosed by a health professional?
M12 Was the illness ever diagnosed by a health professional?
M12 Was the illness ever diagnosed by a health professional?
M12 Was the illness ever diagnosed by a health professional?
M12 Was the illness ever diagnosed by a health professional?
827
161
1
YES
2
NO
9
Sysmiss
M13 Health practitioner report of illness
M13 Health practitioner report of illness
M13 Health practitioner report of illness
M13 Health practitioner report of illness
M13 Health practitioner report of illness
567
ABORTION
AIDS/HIV
AMOEBA
ANAEMIA
APPENDICITIS
ARM PAIN
ASCITES
ASTHMA
BACK BONE PROBLEM
BLOOD PRESSURE
BRONCHITIS
CANCER
CARDIAC FAILURE
CARDIOMEGARY
CHEST PAIN
CHEST PROBLEMS
CHILD BIRTH COMPLICATIONS
CONVULSIONS
DIABETES
DIABETES/PRESSURE
DIARRHOEA
DIFFICULT IN BREATHING
DON'T KNOW
EPILEPSY
FRACTURE
FRACTURE OF SPINAL CHORD
GOITER
GONORRHEA
HAD ALOT OF BLOOD
HEADACHE
HEART PROBLEMS
HEPATITIES
HERNIA
HERPES ZOSTER
INTERNAL BLEEDING
INTESTINAL WORMS
JAUNDICE
KIDNEY PROBLEM
KWASHIOKOR
LACK OF BLOOD
LEG PROBLEMS
LIVER
MALARIA
MALNUTRITION/KWASHIORKOR
MARASMUS
MEASLES
MENINGITIS
OLD AGE
OPERATION
PARALYSIS
PEPTIC ULCERS
PLACENTER
PNEUMONIA
POLIO
RABIES
RELAPSING FEVER
SEVERE HEADACHE
SICKLE CELL
STOMACH CANCER
STOMACH PROBLEMS
STOMACH TUMOR
STROKE
SWELLING LEG,URINATING PATH,
SYPHILIS
TETANUS
TONSILS
TOOTH ACHE
TUBERCULOSIS
TYPHOID
ULCERS
URINARY INFECTION
WITCHCRAFT
YELLOW FEVER
M13 Health practitioner report of illness: code
M13 Health practitioner report of illness: code
M13 Health practitioner report of illness: code
M13 Health practitioner report of illness: code
M13 Health practitioner report of illness: code
570
418
1
99
14.633
13.169
M14 What illness do you think [NAME] suffered from?
M14 What illness do you think [NAME] suffered from?
M14 What illness do you think [NAME] suffered from?
M14 What illness do you think [NAME] suffered from?
M14 What illness do you think [NAME] suffered from?
826
ABDOMINAL PAIN
ABORTION
ABSCESS
AIDS/HIV
ANAEMIA
ARM PAIN
ASCITES
ASTHMA
BACCILARY
BACK BONE PROBLEM
BACK PAIN
BLOOD PRESSURE
BREAST PROBLEMS
BRONCHITIS
CANCER
CHEST PAIN
CHEST PROBLEMS
CHILD BIRTH COMPLICATIONS
CONCEIVE
CONVULSIONS
COUGHING
DIABETES
DIABETES/PRESSURE
DIARRHOEA
DON'T KNOW
EPILEPSY
FEVER
FLU/COLD
FRACTURE
FRACTURE OF SPINAL CHORD
GALL BLADER PROBLEMS
GOITER
GONORRHEA
GOUT
HEADACHE
HEART PROBLEMS
HEART/SWELLING LEGS&HANDS
HERNIA
HERPES ZOSTER
INFECTION
INJURY IN ABDOMINAL
INTERNAL BLEEDING
INTESTINAL WORMS
JAUNDICE
JIGGERS
KIDNEY PROBLEM
KWASHIOKOR
LACK OF BLOOD
LEG PROBLEMS
LIVER
LUNG CANCER
MALARIA
MALNUTRITION/KWASHIORKOR
MEASLES
MENINGITIS
MUSCLES
OEDEMA
OLD AGE
OPERATION
OVER DOSAGE OF DRUGS
PARALYSIS
PEPTIC ULCERS
PLACENTER
PNEUMONIA
POISONING
POLIO
RABIES
RELAPSING FEVER
SEVERE HEADACHE
SICKLE CELL
SKIN DISEASE
SKIN RASHES
SPLEEN
STOMACH CANCER
STOMACH PROBLEMS
STOMACH TUMOR
STROKE
SWOLLEN STOMACH
SYPHILIS
TETANUS
TONSILS
TOOTH ACHE
TUBERCULOSIS
TYPHOID
ULCERS
WITCHCRAFT
YELLOW FEVER
M14 What illness do you think [NAME] suffered from?: code
M14 What illness do you think [NAME] suffered from?: code
M14 What illness do you think [NAME] suffered from?: code
M14 What illness do you think [NAME] suffered from?: code
M14 What illness do you think [NAME] suffered from?: code
827
161
1
99
15.034
12.416
M15 Cause of death
M15 Cause of death
M15 Cause of death
M15 Cause of death
M15 Cause of death
111
877
1
TRAFFIC ACCIDENT
2
CHILDBIRTH/COMPLICATIONS
3
HOMICIDE
4
SUICIDE
5
OTHER ACCIDENT/INJURY
6
OTHER (SPECIFY)
Sysmiss
M15 Cause of death: other
M15 Cause of death: other
M15 Cause of death: other
M15 Cause of death: other
M15 Cause of death: other
56
BEATEN
FALLEN IN THE LAKE
FELL IN LATRINE
FELL RIDING BYCYCLE
IMPRISONED
MARDED
OBSERVATIONS
OLD AGE
SUDDEN DEATH
WITCHCRAFT
CLUSTER
CLUSTER
CLUSTER
CLUSTER
CLUSTER
49
1
51
25.184
14.588
DAY
DAY
DAY
DAY
DAY
49
2
30
14.959
8.829
MONTH
MONTH
MONTH
MONTH
MONTH
49
1
2
3
4
5
6
8
YEAR
YEAR
YEAR
YEAR
YEAR
49
2004
INTERVIEWER CODE
INTERVIEWER CODE
INTERVIEWER CODE
INTERVIEWER CODE
INTERVIEWER CODE
49
2
99
5.469
13.689
DEOCODE
DEOCODE
DEOCODE
DEOCODE
DEOCODE
49
38
46
49
DEODAY
DEODAY
DEODAY
DEODAY
DEODAY
49
4
10
11
15
16
17
18
DEOMO
DEOMO
DEOMO
DEOMO
DEOMO
49
6
10
16
1 TITLE/OCCUPATION Q1
1 TITLE/OCCUPATION Q1
1 TITLE/OCCUPATION Q1
1 TITLE/OCCUPATION Q1
1 TITLE/OCCUPATION Q1
49
CHAIRMAN
ELDER
FARMER
HEALTH SERVANT
P.H.S
PRIMARY HEALTH SERVER
RETIRED VICE CHAIRMAN
VAICE CHAIRMAN
VICE CHAIRMAN
VILLAGE CHAIRMAN
VILLAGE ELDER
VILLAGE EXECUTIVE OFFICER
VILLAGE HEALTH SERVANT
VILLAGE SECRETARY
WARD EXECUTIVE OFFICER
WARD EXECUTIVE OFFICER
1 AGE
1 AGE
1 AGE
1 AGE
1 AGE
49
28
78
47.98
11.425
1 SEX
1 SEX
1 SEX
1 SEX
1 SEX
49
F
M
1 YEARS IN COMMUNITY
1 YEARS IN COMMUNITY
1 YEARS IN COMMUNITY
1 YEARS IN COMMUNITY
1 YEARS IN COMMUNITY
49
1
74
32.755
23.002
2 TITLE/OCCUPATION
2 TITLE/OCCUPATION
2 TITLE/OCCUPATION
2 TITLE/OCCUPATION
2 TITLE/OCCUPATION
47
CHAIRMAN
CHAIRMAN OF COMMITTEE
COMMUNITY DEVELOPMENT CHAIRMAN
COMMUNITY MEMBER
FARMER
HEALTH SERVANT
INFLUENCIAL
INFLUENTIAL RETIRED DOCTOR
LNFLUENTIAL PERSON
PARENTS CHAIRMAN
RETIRED OFFICER
RETIRED TEACHER
SUB-VILLAGE CHAIRMAN
TEACHER
VICE CHAIRMAN
VICE SCHOOL CHAIRMAN
VIILAGE CHAIRMAN
VILLAGE CHAIRMAN
VILLAGE ELDER
VILLAGE EXECUTIVE OFFICER
VILLAGE SECRETARY
WARD EXECUTIVE PFFICER
WATER FIELD CHAIRMAN
2 AGE
2 AGE
2 AGE
2 AGE
2 AGE
49
30
99
53.286
15.704
2 SEX
2 SEX
2 SEX
2 SEX
2 SEX
49
F
M
2 YEARS IN COMMUNITY
2 YEARS IN COMMUNITY
2 YEARS IN COMMUNITY
2 YEARS IN COMMUNITY
2 YEARS IN COMMUNITY
49
1
99
37.041
25.343
3 TITLE/OCCUPATION
3 TITLE/OCCUPATION
3 TITLE/OCCUPATION
3 TITLE/OCCUPATION
3 TITLE/OCCUPATION
46
CHAIRMAN EDUCATION COMMITTEE
ELDER
FARMAR
FARMER
HEAD TEACHER
HEADTEACHER
HEALTH OFFICER
HEALTH SERVANT
HEALTH WORKER
INFLUENTIAL
INFLUENTIAL PERSON
INFLUENTIAL PERSON
M.A.K
MEMBER OF EDUCATION COMMUNITY
MEMBER OF VILLAGE COMMITTEE
P/SCHOOL CHAIRMAN
RETIRED TEACHER
SUB-VILLAGE CHAIRMAN
TEACHER
VILLAGE CHAIRMAN
VILLAGE ELDER
VILLAGE EXECUTIVE OFFICER
VILLAGE GOVERNMENT MEMBER
WARD CHAIRMAN
3 AGE
3 AGE
3 AGE
3 AGE
3 AGE
48
1
23
99
53.396
16.282
3 SEX
3 SEX
3 SEX
3 SEX
3 SEX
49
F
M
3 YEARS IN COMMUNITY
3 YEARS IN COMMUNITY
3 YEARS IN COMMUNITY
3 YEARS IN COMMUNITY
3 YEARS IN COMMUNITY
49
4
99
39
23.296
4 TITLE/OCCUPATION
4 TITLE/OCCUPATION
4 TITLE/OCCUPATION
4 TITLE/OCCUPATION
4 TITLE/OCCUPATION
46
CHAIRMAN OF BURIAL GROUP
CHAIRMAN OF HEALTH COMETEE
FARMER
HEALTH ATTENDANTS
HEALTH CHAIRMAN
HEALTH WORKER
M.A.K
MCH AIDER
NURSE
P.H.S
PRIMARY HEALTH SERVER
R.M.A
RETIRED NURSE
RETIRED OFFICER
SUB-VAICE-CHAIRMAN
TBA
TEACHER
VILLAGE C.C.M
VILLAGE ELDER
VILLAGE EXECUTIVE OFFICER
VILLAGE EXECUTIVE SECRETARY
VILLAGE HEALTH SERVANT
VILLAGE HEALTH WORKER
W.HEALTH WORKER
WARD HEALTH WORKER
4 AGE
4 AGE
4 AGE
4 AGE
4 AGE
48
1
25
78
44.396
12.249
4 SEX
4 SEX
4 SEX
4 SEX
4 SEX
48
F
M
4 YEARS IN COMMUNITY
4 YEARS IN COMMUNITY
4 YEARS IN COMMUNITY
4 YEARS IN COMMUNITY
4 YEARS IN COMMUNITY
48
1
1
74
31.271
18.979
5 TITLE/OCCUPATION
5 TITLE/OCCUPATION
5 TITLE/OCCUPATION
5 TITLE/OCCUPATION
5 TITLE/OCCUPATION
44
AGRICULTURE OFFICER
CATECST
CHAIRMAN
CHAIRMAN OF LIVERSTOCK GROUP
COMMUNITY MEMBER
ELDER
EXTENTIONIST
FARMER
HEARDING GROUP CHAIRMAN
INFLUENCIAL
INFLUENCIAL PERSON
INFLUENTIAL PERSON
LIVERSTOCK KEEPING SECTOR
LIVESTOCK OFFICER
RETIRED AGRICULTURE OFFICER
SERVANT
SUB-VILLAGE CHAIRMAN
TEACHER
TEN CELL LEADER
VICE CHAIRMAN
VILLAGE CHAIRMAN
VILLAGE ELDER
VILLAGE EXECUTIVE OFFICER
VILLAGE INFLUENCIAL
VILLAGE MEMBER
VILLAGE REPRESENTATIVE
VILLAGE RESPRESENTATIVE
WARD CHAIRMAN
5 AGE
5 AGE
5 AGE
5 AGE
5 AGE
48
1
25
81
55.354
14.316
5 SEX
5 SEX
5 SEX
5 SEX
5 SEX
48
F
M
5 YEARS IN COMMUNITY
5 YEARS IN COMMUNITY
5 YEARS IN COMMUNITY
5 YEARS IN COMMUNITY
5 YEARS IN COMMUNITY
48
1
3
81
46.188
20.464
6 TITLE/OCCUPATION
6 TITLE/OCCUPATION
6 TITLE/OCCUPATION
6 TITLE/OCCUPATION
6 TITLE/OCCUPATION
46
BURIALS GROUP
C.C.M CHAIRMAN
C.C.M WARD SECRETARY
CHAIRMAN
COMMUNITY MEMBER
ELDER
FARMER
GROUP CHAIRMAN
INFLUENCIAL PERSON
INFLUENTIAL
INFLUENTIAL PERSON
RECORD KEEPER
RELIGION LEADER
RETIRED CHAIRMAN
STREET CHAIRMAN
SUB-VILLAGE CHAIRMAN
TRADER
VAICE CHAIRMAN
VILLAGE ELDER
VILLAGE EXECUTIVE OFFICER
VILLAGE MEMBER
VILLAGE REPRESENTATIVE
WARD CHAIRMAN
WOMAN CHAIRMAN
WOMEN GROUP LEADER
6 AGE
6 AGE
6 AGE
6 AGE
6 AGE
48
1
29
85
58.333
14.735
6 SEX
6 SEX
6 SEX
6 SEX
6 SEX
48
F
M
6 YEARS IN COMMUNITY
6 YEARS IN COMMUNITY
6 YEARS IN COMMUNITY
6 YEARS IN COMMUNITY
6 YEARS IN COMMUNITY
48
1
10
85
49.833
21.49
7 TITLE/OCCUPATION
7 TITLE/OCCUPATION
7 TITLE/OCCUPATION
7 TITLE/OCCUPATION
7 TITLE/OCCUPATION
46
CHAIRLADY WOMEN GROUP
CHRCH LEADER
COMMUNITY MEMBER
ELDER
FAEMER
FARMER
GROUP CHAIRMAN
GROUP LEADER
HEADTEACHER
HEALTH WORKER
INFLUENCIAL PERSON
INFLUENTIAL PERSON
PRIMARY HEALTH SERVER
REIRED TEACHER
SUB-VILLAGE CHAIRMAN
TEACHER
TRADITIONAL HEALER
VILLAGE AIDS SECRETARY
VILLAGE CHAIRMAN
VILLAGE ELDER
VILLAGE INFLUENCIAL
VILLAGE MEMBER
VILLAGE SECRETARY
VILLAGER
WARD CHAIRMAN
WOMEN GROUP CHAIRMAN
7 AGE
7 AGE
7 AGE
7 AGE
7 AGE
48
1
20
87
49.896
14.456
7 SEX
7 SEX
7 SEX
7 SEX
7 SEX
48
F
M
7 YEARS IN COMMUNITY
7 YEARS IN COMMUNITY
7 YEARS IN COMMUNITY
7 YEARS IN COMMUNITY
7 YEARS IN COMMUNITY
48
1
7
87
39.667
19.007
7 REASONS
7 REASONS
7 REASONS
7 REASONS
7 REASONS
8 TITLE/OCCUPATION
8 TITLE/OCCUPATION
8 TITLE/OCCUPATION
8 TITLE/OCCUPATION
8 TITLE/OCCUPATION
28
ELDER
FARMER
GOVERNMENT REPRESENTATIVE
GROUP CHAIRMAN
HEALTH SERVANT
INFLUENCIAL
INFLUENCIAL PERSON
MEMBER
RELIGIONS GROUPS
SERVANT
SUB-CHAIRMAN
SUB-VILLAGE CHAIRMAN
TEACHER
VILLAGE ELDER
VILLAGE EXECUTIVE OFFICER
VILLAGE REPRESENTATIVE
VILLAGER
WARD CHAIRMAN
WOMEN GROUPS
8 AGE
8 AGE
8 AGE
8 AGE
8 AGE
33
16
25
99
51.394
19.095
8 SEX
8 SEX
8 SEX
8 SEX
8 SEX
33
9
F
M
8 YEARS IN COMMUNITY
8 YEARS IN COMMUNITY
8 YEARS IN COMMUNITY
8 YEARS IN COMMUNITY
8 YEARS IN COMMUNITY
33
16
5
99
39.697
25.876
8 REASONS
8 REASONS
8 REASONS
8 REASONS
8 REASONS
9 TITLE/OCCUPATION
9 TITLE/OCCUPATION
9 TITLE/OCCUPATION
9 TITLE/OCCUPATION
9 TITLE/OCCUPATION
23
ENVIRONMENTAL LEADER
FARMER
GOVERNMENT REPRESENTATIVE
INFLUENCIAL WOMAN
INFORMALGROUP LEADER
RELIGIONS GROUPS
SUB-CHAIRMAN
SUB-VILLAGE CHAIRMAN
SUB-VILLAGE LEADER
TEACHER
VILAGE ELDER
VILLAGE ELDER
VILLAGE LEADER
VILLAGE REPLESENTATIVE
VILLAGE REPRESENTATIVE
VILLAGER
WOMEN GROUPS
YOUTH GROUPS
9 AGE
9 AGE
9 AGE
9 AGE
9 AGE
27
22
25
99
52.963
20.885
9 SEX
9 SEX
9 SEX
9 SEX
9 SEX
27
9
F
M
9 YEARS IN COMMUNITY
9 YEARS IN COMMUNITY
9 YEARS IN COMMUNITY
9 YEARS IN COMMUNITY
9 YEARS IN COMMUNITY
27
22
5
99
42.481
26.243
9 REASONS
9 REASONS
9 REASONS
9 REASONS
9 REASONS
10 TITLE/OCCUPATION
10 TITLE/OCCUPATION
10 TITLE/OCCUPATION
10 TITLE/OCCUPATION
10 TITLE/OCCUPATION
17
CHAIRMAN OF THE PARTY
FARMER
GROUP LEADER
HEALTH WORKER
MEMBER
RELIGIONS GROUPS
RELIGIOUS GROUPS
SUB VILLAGE CHAIRMAN
SUB-VILLAGE CHAIRMAN
SUB-VILLAGE LEADERS
TEACHER
VAICE CHAIRMAN
VILLAGE ELDER
VILLAGE SECRETARY
VILLAGER
10 AGE
10 AGE
10 AGE
10 AGE
10 AGE
19
30
25
99
49.947
21.688
10 SEX
10 SEX
10 SEX
10 SEX
10 SEX
19
9
F
M
10 YEARS IN COMMUNITY
10 YEARS IN COMMUNITY
10 YEARS IN COMMUNITY
10 YEARS IN COMMUNITY
10 YEARS IN COMMUNITY
19
30
18
99
41.316
24.615
10 REASONS
10 REASONS
10 REASONS
10 REASONS
10 REASONS
11 TITLE/OCCUPATION
11 TITLE/OCCUPATION
11 TITLE/OCCUPATION
11 TITLE/OCCUPATION
11 TITLE/OCCUPATION
10
FARMER
GROUP LEADER
INFRUENCIAL
SUB VILLAGE CHAIRMAN
SUB-VILLAGE CHAIEMAN
VILLAGE ELDER
VILLAGE REPRESENTATIVE
WOMEN GROUP
11 AGE
11 AGE
11 AGE
11 AGE
11 AGE
12
37
30
99
52.583
19.472
11 SEX
11 SEX
11 SEX
11 SEX
11 SEX
12
9
F
M
11 YEARS IN COMMUNITY
11 YEARS IN COMMUNITY
11 YEARS IN COMMUNITY
11 YEARS IN COMMUNITY
11 YEARS IN COMMUNITY
12
37
20
99
43.917
23.067
11 REASONS
11 REASONS
11 REASONS
11 REASONS
11 REASONS
12 TITLE/OCCUPATION
12 TITLE/OCCUPATION
12 TITLE/OCCUPATION
12 TITLE/OCCUPATION
12 TITLE/OCCUPATION
4
FARMER
VILLAGE COUNCIL MEMBER
VILLAGE ELDER
YOUTH GROUPS
12 AGE
12 AGE
12 AGE
12 AGE
12 AGE
8
41
30
99
53.75
25.184
12 SEX
12 SEX
12 SEX
12 SEX
12 SEX
8
9
F
M
12 YEARS IN COMMUNITY
12 YEARS IN COMMUNITY
12 YEARS IN COMMUNITY
12 YEARS IN COMMUNITY
12 YEARS IN COMMUNITY
8
41
15
99
43.5
25.372
12 REASONS
12 REASONS
12 REASONS
12 REASONS
12 REASONS
13 TITLE/OCCUPATION
13 TITLE/OCCUPATION
13 TITLE/OCCUPATION
13 TITLE/OCCUPATION
13 TITLE/OCCUPATION
1
FARMWR
13 AGE
13 AGE
13 AGE
13 AGE
13 AGE
3
46
28
55
39.667
13.868
13 SEX
13 SEX
13 SEX
13 SEX
13 SEX
3
F
M
13 YEARS IN COMMUNITY
13 YEARS IN COMMUNITY
13 YEARS IN COMMUNITY
13 YEARS IN COMMUNITY
13 YEARS IN COMMUNITY
3
46
6
28
16.667
11.015
13 REASONS
13 REASONS
13 REASONS
13 REASONS
13 REASONS
14 TITLE/OCCUPATION
14 TITLE/OCCUPATION
14 TITLE/OCCUPATION
14 TITLE/OCCUPATION
14 TITLE/OCCUPATION
1
FARMER
14 AGE
14 AGE
14 AGE
14 AGE
14 AGE
2
47
30
52
41
15.556
14 SEX
14 SEX
14 SEX
14 SEX
14 SEX
2
F
M
14 YEARS IN COMMUNITY
14 YEARS IN COMMUNITY
14 YEARS IN COMMUNITY
14 YEARS IN COMMUNITY
14 YEARS IN COMMUNITY
2
47
10
30
Sysmiss
14 REASONS
14 REASONS
14 REASONS
14 REASONS
14 REASONS
15 TITLE/OCCUPATION
15 TITLE/OCCUPATION
15 TITLE/OCCUPATION
15 TITLE/OCCUPATION
15 TITLE/OCCUPATION
2
FARMER
SUB-VILLAGE SECRETARY
15 AGE
15 AGE
15 AGE
15 AGE
15 AGE
2
47
41
48
Sysmiss
15 SEX
15 SEX
15 SEX
15 SEX
15 SEX
2
F
M
15 YEARS IN COMMUNITY
15 YEARS IN COMMUNITY
15 YEARS IN COMMUNITY
15 YEARS IN COMMUNITY
15 YEARS IN COMMUNITY
2
47
41
48
Sysmiss
15 REASONS
15 REASONS
15 REASONS
15 REASONS
15 REASONS
HOUSEHOLD LIVING IN COMMUNITY
HOUSEHOLD LIVING IN COMMUNITY
HOUSEHOLD LIVING IN COMMUNITY
HOUSEHOLD LIVING IN COMMUNITY
HOUSEHOLD LIVING IN COMMUNITY
49
238
2640
632.429
427.51
PEOPLE LIVING IN COMMUNITY
PEOPLE LIVING IN COMMUNITY
PEOPLE LIVING IN COMMUNITY
PEOPLE LIVING IN COMMUNITY
PEOPLE LIVING IN COMMUNITY
49
540
9999999
206997.408
1428147.207
CHILREN 0-14 YEARS
CHILREN 0-14 YEARS
CHILREN 0-14 YEARS
CHILREN 0-14 YEARS
CHILREN 0-14 YEARS
44
5
234
9999999
5227833.318
5051983.182
PEOPLE 15-49 YEARS
PEOPLE 15-49 YEARS
PEOPLE 15-49 YEARS
PEOPLE 15-49 YEARS
PEOPLE 15-49 YEARS
44
5
254
9999999
5228031.023
5051773.959
PEOPLE ABOVE 50 YEARS
PEOPLE ABOVE 50 YEARS
PEOPLE ABOVE 50 YEARS
PEOPLE ABOVE 50 YEARS
PEOPLE ABOVE 50 YEARS
44
5
60
9999999
5000274.205
5057527.011
OTHER TRIBE
OTHER TRIBE
OTHER TRIBE
OTHER TRIBE
OTHER TRIBE
10
GANDAN
GANDANS
SUMBWA 25; HA 42
UGANDANS
WAGANDA
WAGANDA 2/WAJARUO 2/
WAHA
WAHA35;WANYIL1;WARONGO5;WASUMBWA5;WAJITA2;WAKULYA3
OTHERS
OTHERS
OTHERS
OTHERS
OTHERS
2
ORTHODOX
PENCOSTE
SINCE 1993 PEOPLE MOVE INTO COMMUNITY
SINCE 1993 PEOPLE MOVE INTO COMMUNITY
SINCE 1993 PEOPLE MOVE INTO COMMUNITY
SINCE 1993 PEOPLE MOVE INTO COMMUNITY
SINCE 1993 PEOPLE MOVE INTO COMMUNITY
49
9999999
204393.449
1428526.069
SINCE 1993 PEOPLE MOVED OUT OF COMMUNITY
SINCE 1993 PEOPLE MOVED OUT OF COMMUNITY
SINCE 1993 PEOPLE MOVED OUT OF COMMUNITY
SINCE 1993 PEOPLE MOVED OUT OF COMMUNITY
SINCE 1993 PEOPLE MOVED OUT OF COMMUNITY
49
9999999
204121.816
1428565.424
WAS VILLAGE FORMED BY 1971 VILLAGISATION ACT?
WAS VILLAGE FORMED BY 1971 VILLAGISATION ACT?
WAS VILLAGE FORMED BY 1971 VILLAGISATION ACT?
WAS VILLAGE FORMED BY 1971 VILLAGISATION ACT?
WAS VILLAGE FORMED BY 1971 VILLAGISATION ACT?
48
1
1
YES
2
NO
9
DK
Sysmiss
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
49
100
60.959
40.835
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
49
95
10.633
24.893
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
49
100
13.045
29.844
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
49
1
2
3
5
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
49
22
1.429
3.873
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
49
52
2.471
8.786
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
48
1
30
1.667
5.601
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
49
20
2.643
3.881
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
49
20
2.173
3.907
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
49
1
2
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
POP SHARE OF ETHNIC GROUP IN %
49
75
5.469
16.722
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
49
98
12.51
16.117
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
49
1
99
55.163
20.87
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
49
325
27
47.192
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
49
25
1.737
4.161
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
49
6
1.257
1.859
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
49
69
5.816
12.215
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
49
25
2.806
4.97
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
49
1
3
4
8
9
10
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
POP SHARE OF RELIGION IN %
48
1
3
5
Sysmiss
NAME
NAME
NAME
NAME
NAME
40
BUGABO
BUGANGUZI
BUJARA
BUKOBA URBAN
BUKOBA-RURAL
HAMUGEMBE
IZIGO
KABYAILE VILLAGE
KAMACHUMU PLATEAU
KAMALANGE
KATORO
KIBONDO
KIGOMA
KIHANJA
KITUNTU
KIZIBA
KIZIBA KAGERA
KYAKA
KYAMUTWARA
MAGU
MARUKU
MUHEZA
MULEBA
MWIVUZA
NGARA
NGOTE
NGOZI
NSHAMBYA
NTOBEYE
NYAKIBIMBILI
RWANDA
SHINYANGA
REGION(COUNTRY IF NOT TZ)
REGION(COUNTRY IF NOT TZ)
REGION(COUNTRY IF NOT TZ)
REGION(COUNTRY IF NOT TZ)
REGION(COUNTRY IF NOT TZ)
40
BUKOBA
BUKOBA RURAL
BURUNDI
KAGERA
KARAGWE
KIGOMA
MULEBA-KAGERA
MWANZA RURAL
NGARA
NGARA-KAGERA
RWANDA
TANZANIA
URBAN/RURAL
URBAN/RURAL
URBAN/RURAL
URBAN/RURAL
URBAN/RURAL
40
9
1
2
Sysmiss
NAME
NAME
NAME
NAME
NAME
31
BISHAKA
BRIGI
BUGABO
BUJURUGA
BUKOBA
BUKOBA TOWN
BURUNDI
BUSERESERE
IZIMBYA
KAJANO VILLAGE
KAJORO
KAKONKO
KAMACHUMU
KARAGWE
KATOKE
KIBETA
KIBONDO
KIGOMA
KIKOMERO
KUMTANA
MARUKU KAGERA
MISENYE
MUKAREHE
MWANZA
NGARA
NKWENDA
NSHAMBYA
NTUMAGU
REGION(COUNTRY IF NOT TZ)
REGION(COUNTRY IF NOT TZ)
REGION(COUNTRY IF NOT TZ)
REGION(COUNTRY IF NOT TZ)
REGION(COUNTRY IF NOT TZ)
31
BIHARAMULO
BURUNDI
KAGERA
KARAGWE
KIGOMA
KIGOMA RURAL
MWANZA
NGARA
NGARA-KAGERA
TANZANIA
URBAN/RURAL
URBAN/RURAL
URBAN/RURAL
URBAN/RURAL
URBAN/RURAL
31
18
1
2
Sysmiss
NAME
NAME
NAME
NAME
NAME
25
BIHARAMULO
BISHESHE
BUGABO
BUGABO KAGERA
BUSHANGARO
IBOSA
IGURWA
IZIMBYA
KABALENZI
KARAGWE
KATORO
KIBONDO
KILIMA
KILIMILILE
MAFOTA
MOSHI
MURUVYAGIRA
MUSOMA
NEARBY WARDS
NYAISHOZI
RUGANZO
WESTERN BIHARAMULO
REGION(COUNTRY IF NOT TZ)
REGION(COUNTRY IF NOT TZ)
REGION(COUNTRY IF NOT TZ)
REGION(COUNTRY IF NOT TZ)
REGION(COUNTRY IF NOT TZ)
25
BIHARAMULO
KAGERA
KARAGWE
KARAGWE(KAGERA)
KIGOMA
MOSHI
MUSOMA
NGARA
NGARA-KAGERA
URBAN/RURAL
URBAN/RURAL
URBAN/RURAL
URBAN/RURAL
URBAN/RURAL
25
24
1
2
Sysmiss
NAME
NAME
NAME
NAME
NAME
17
BUGABO
BUSHANGARO
BWANGONO
DK
IHANDA
KARAGWE
KIGARAMA
KIGOMA
KIZIBA
MAYENZI&RWANDA
MUHWEZA
MULEBA
MUSOMA
NGARA
RWANDA
SHINYANGA
REGION(COUNTRY IF NOT TZ)
REGION(COUNTRY IF NOT TZ)
REGION(COUNTRY IF NOT TZ)
REGION(COUNTRY IF NOT TZ)
REGION(COUNTRY IF NOT TZ)
17
DK
KAGERA
KARAGWE(KAGERA)
KIGOMA
MUSOMA
NGARA
NGARA&RWANDA
NGARA-KAGERA
RWANDA
SHINYANGA
URBAN/RURAL
URBAN/RURAL
URBAN/RURAL
URBAN/RURAL
URBAN/RURAL
17
32
2
9
Sysmiss
REASON FOR PEOPLE TO MOVE INTO COMMUNITY
REASON FOR PEOPLE TO MOVE INTO COMMUNITY
REASON FOR PEOPLE TO MOVE INTO COMMUNITY
REASON FOR PEOPLE TO MOVE INTO COMMUNITY
REASON FOR PEOPLE TO MOVE INTO COMMUNITY
41
8
1
2
5
6
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
4
BUILDING HOUSES
FOLLOW INHERITANCE
MARRIAGE
REASON FOR PEOPLE TO MOVE INTO COMMUNITY
REASON FOR PEOPLE TO MOVE INTO COMMUNITY
REASON FOR PEOPLE TO MOVE INTO COMMUNITY
REASON FOR PEOPLE TO MOVE INTO COMMUNITY
REASON FOR PEOPLE TO MOVE INTO COMMUNITY
22
27
1
2
3
5
6
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
6
BUILDING PLOTS
EXTENSION
FOR BUUSSINESS
LIVESTOCK
MARRIAGE
THEY CAME AS LABOURERS SATISFI
REASON FOR PEOPLE TO MOVE INTO COMMUNITY
REASON FOR PEOPLE TO MOVE INTO COMMUNITY
REASON FOR PEOPLE TO MOVE INTO COMMUNITY
REASON FOR PEOPLE TO MOVE INTO COMMUNITY
REASON FOR PEOPLE TO MOVE INTO COMMUNITY
6
43
2
5
6
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
3
BUSSINESS
MARRIAGE
TRADE
REASON FOR PEOPLE TO MOVE INTO COMMUNITY
REASON FOR PEOPLE TO MOVE INTO COMMUNITY
REASON FOR PEOPLE TO MOVE INTO COMMUNITY
REASON FOR PEOPLE TO MOVE INTO COMMUNITY
REASON FOR PEOPLE TO MOVE INTO COMMUNITY
2
47
3
4
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
NAME OF AREA
NAME OF AREA
NAME OF AREA
NAME OF AREA
NAME OF AREA
41
BUKOBA LOWLAND
BUKOBA URBAN
BUKOMBE
BUSERESERE
BUSHUBI
BWEMELA
DAR-ES-SALAAM
HAMUGEMBE
KAMPALA
KAMULI
KANONI
KARAGWE
KASULO
KASULU
KILIMAHEWA
KILIMILILE
LUSAHUNGA
MAYENZI
MULEBA LOWLANDS
NYAKANAZI
RUBALE
RUHITA(MULEBA)
RUKOMA
RUSUMO
RUTORO
RWANDA
SEVERAL
REGION/COUNTRY
REGION/COUNTRY
REGION/COUNTRY
REGION/COUNTRY
REGION/COUNTRY
41
BIHARAMULO-KAGERA
BUKOBA TOWN
DAR-ES-SALAAM
KAGERA
KAGERA NGARA
KARAGWE
NGARA
NGARA KAGERA
NGARA-KAGERA
RWANDA
SHINYANGA
UGANDA
URBAN/RURAL
URBAN/RURAL
URBAN/RURAL
URBAN/RURAL
URBAN/RURAL
41
8
1
2
Sysmiss
NAME OF AREA
NAME OF AREA
NAME OF AREA
NAME OF AREA
NAME OF AREA
33
BUGABO
BUKOBA RURAL
BURIGI
BUSHUBI
CHANYA-KARAGWE
GEITA
IZIMBYA
KAISHO
KAMACHUMU
KAMIZILENTE
KARAGWE
KASHAI
KATORO
KIJUNJA
KILAMBA
KILIMILILE
KYAMULAILE
KYAMURAIRE
LUHUNGA
LUNZEWE
LUSAHUNGA
MARUKU
MULEBA
MWANZA
NSHESHE
NYAKIZIBA
NYAKIZIBA-NTOBEYE
RUGANZO
RULENGE
REGION/COUNTRY
REGION/COUNTRY
REGION/COUNTRY
REGION/COUNTRY
REGION/COUNTRY
33
BIHARAMULO-KAGERA
BUKOBA TOWN
KAGERA
KAGERA NGARA
KARAGWE
MWANZA
NGARA
NGARA-KAGERA
SHINYANGA
URBAN/RURAL
URBAN/RURAL
URBAN/RURAL
URBAN/RURAL
URBAN/RURAL
33
16
1
2
Sysmiss
NAME OF AREA
NAME OF AREA
NAME OF AREA
NAME OF AREA
NAME OF AREA
15
BIHARAMULO RURAL
BUKOBA
BUSHANGARO-KARAGWE
DAR-ES-SALAAM
KAILONGE
KASHARAZI
KATOMA
MIGERA
MISENYE
MUKUNYU
SENGEREMA
REGION/COUNTRY
REGION/COUNTRY
REGION/COUNTRY
REGION/COUNTRY
REGION/COUNTRY
15
BIHARAMULO-KAGERA
BUKOBA TOWN
DAR-ES-SALAAM
KAGERA
MWANZA
NGARA-KAGERA
URBAN/RURAL
URBAN/RURAL
URBAN/RURAL
URBAN/RURAL
URBAN/RURAL
15
34
1
2
Sysmiss
NAME OF AREA
NAME OF AREA
NAME OF AREA
NAME OF AREA
NAME OF AREA
5
BUSINDE
GEITA
KYAKA
MULEBA
RUSUMO
REGION/COUNTRY
REGION/COUNTRY
REGION/COUNTRY
REGION/COUNTRY
REGION/COUNTRY
5
KAGERA
MWANZA
NGARA-KAGERA
URBAN/RURAL
URBAN/RURAL
URBAN/RURAL
URBAN/RURAL
URBAN/RURAL
5
44
1
2
Sysmiss
REASON WHY PEOPLE MOVE OUT
REASON WHY PEOPLE MOVE OUT
REASON WHY PEOPLE MOVE OUT
REASON WHY PEOPLE MOVE OUT
REASON WHY PEOPLE MOVE OUT
41
8
1
In search of farm land
2
To start a new job
3
Schooling
4
Escape war/violence
5
Escape drought/famine/disease
6
Other
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
7
BUILDING NEW HOUSES
BUILDING PLOT
DEATH OF SON
FEARING WITCHCRAFT
LOOK FOR BUSSINESS
NEW RESIDENCES
RETURN AFTER WAR
REASON WHY PEOPLE MOVE OUT
REASON WHY PEOPLE MOVE OUT
REASON WHY PEOPLE MOVE OUT
REASON WHY PEOPLE MOVE OUT
REASON WHY PEOPLE MOVE OUT
14
35
1
In search of farm land
2
To start a new job
3
Schooling
4
Escape war/violence
5
Escape drought/famine/disease
6
Other
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
3
FAMILY BIG,LAND IS NOT ENOUGH
MARRIAGE
RETURN HOME
REASON WHY PEOPLE MOVE OUT
REASON WHY PEOPLE MOVE OUT
REASON WHY PEOPLE MOVE OUT
REASON WHY PEOPLE MOVE OUT
REASON WHY PEOPLE MOVE OUT
5
44
1
In search of farm land
2
To start a new job
3
Schooling
4
Escape war/violence
5
Escape drought/famine/disease
6
Other
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
2
MARRIAGE
MINING
REASON WHY PEOPLE MOVE OUT
REASON WHY PEOPLE MOVE OUT
REASON WHY PEOPLE MOVE OUT
REASON WHY PEOPLE MOVE OUT
REASON WHY PEOPLE MOVE OUT
1
48
1
In search of farm land
2
To start a new job
3
Schooling
4
Escape war/violence
5
Escape drought/famine/disease
6
Other
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
48
1
1
2
3
9
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
4
FAIR
MODERATE
NOT VERY POOR
SAME
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
49
1
2
3
9
OTHER
OTHER
OTHER
OTHER
OTHER
3
FAR BUT NOT REMOTE
IN BTN
SAME
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
48
1
1
2
3
9
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
3
FAIR
MIDDLE
SAME
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
49
1
2
3
9
OTHER
OTHER
OTHER
OTHER
OTHER
1
SAME
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
48
1
1
2
3
9
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
3
A BIT RICHER
FAIR
MODERATE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
49
1
2
3
9
OTHER
OTHER
OTHER
OTHER
OTHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
44
5
1
2
3
9
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
2
FAIR
MIDDLE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
45
4
1
2
3
9
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
1
IN BTN
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
38
11
1
2
3
9
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
2
FAIR
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
38
11
1
2
3
9
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
29
20
1
2
3
9
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
1
MIDDLE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
29
20
1
2
3
9
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
24
25
1
2
3
9
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
1
FAIR
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
25
24
1
2
3
9
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
20
29
1
2
3
9
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
20
29
1
2
3
9
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
17
32
1
2
3
9
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
1
MIDDLE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
17
32
1
2
3
9
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
16
33
1
2
3
9
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
1
MIDDLE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
16
33
1
2
3
9
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
14
35
1
2
3
9
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
14
35
1
2
3
9
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
12
37
1
2
3
9
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
12
37
2
3
9
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
12
37
1
2
3
9
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
12
37
2
3
9
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
8
41
1
2
3
9
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
8
41
1
2
3
9
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
6
43
1
2
3
9
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
6
43
2
3
9
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
3
46
1
3
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
3
46
1
3
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
KITONGOJI: POORER/RICHER
1
48
1
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
KITONGOJI: MORE/LESS REMOTE
1
48
1
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
KITONGOJI NAME
KITONGOJI NAME
KITONGOJI NAME
KITONGOJI NAME
KITONGOJI NAME
ARE ANY OF THESE POOR/RICH
ARE ANY OF THESE POOR/RICH
ARE ANY OF THESE POOR/RICH
ARE ANY OF THESE POOR/RICH
ARE ANY OF THESE POOR/RICH
49
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
ARE ANY OF THESE REMOTE
ARE ANY OF THESE REMOTE
ARE ANY OF THESE REMOTE
ARE ANY OF THESE REMOTE
ARE ANY OF THESE REMOTE
49
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
COMMUNITY LIFE IS IT BETTTER OR WORSE THAN IN 1993
COMMUNITY LIFE IS IT BETTTER OR WORSE THAN IN 1993
COMMUNITY LIFE IS IT BETTTER OR WORSE THAN IN 1993
COMMUNITY LIFE IS IT BETTTER OR WORSE THAN IN 1993
COMMUNITY LIFE IS IT BETTTER OR WORSE THAN IN 1993
49
1
BETTER
2
WORSE
3
NO CHANGE
DOES MOTARABLE ROAD PASS BY COMMUNITY?
DOES MOTARABLE ROAD PASS BY COMMUNITY?
DOES MOTARABLE ROAD PASS BY COMMUNITY?
DOES MOTARABLE ROAD PASS BY COMMUNITY?
DOES MOTARABLE ROAD PASS BY COMMUNITY?
49
1
YES
2
NO
9
DK
HOW FAR IS THE MOTARABLE ROAD?
HOW FAR IS THE MOTARABLE ROAD?
HOW FAR IS THE MOTARABLE ROAD?
HOW FAR IS THE MOTARABLE ROAD?
HOW FAR IS THE MOTARABLE ROAD?
3
46
3
6
9
Sysmiss
IS COMMUNITY ROAD IMPASSABLE DURING CERTAIN TIMES?
IS COMMUNITY ROAD IMPASSABLE DURING CERTAIN TIMES?
IS COMMUNITY ROAD IMPASSABLE DURING CERTAIN TIMES?
IS COMMUNITY ROAD IMPASSABLE DURING CERTAIN TIMES?
IS COMMUNITY ROAD IMPASSABLE DURING CERTAIN TIMES?
49
1
YES
2
NO
9
DK
HOW LONG THE ROUTE IS IMPASSABLE (MONTHS)
HOW LONG THE ROUTE IS IMPASSABLE (MONTHS)
HOW LONG THE ROUTE IS IMPASSABLE (MONTHS)
HOW LONG THE ROUTE IS IMPASSABLE (MONTHS)
HOW LONG THE ROUTE IS IMPASSABLE (MONTHS)
12
37
1
99
13.333
28.301
DOES ANY HOUSEHOLD HAVE ELECTRICITY?
DOES ANY HOUSEHOLD HAVE ELECTRICITY?
DOES ANY HOUSEHOLD HAVE ELECTRICITY?
DOES ANY HOUSEHOLD HAVE ELECTRICITY?
DOES ANY HOUSEHOLD HAVE ELECTRICITY?
49
1
YES
2
NO
9
DK
DO MOST HOUSEHOLDS HAVE ELECTRICITY?
DO MOST HOUSEHOLDS HAVE ELECTRICITY?
DO MOST HOUSEHOLDS HAVE ELECTRICITY?
DO MOST HOUSEHOLDS HAVE ELECTRICITY?
DO MOST HOUSEHOLDS HAVE ELECTRICITY?
33
16
1
MOST HH
2
A FEW
Sysmiss
DO ANY HH HAVE PIPE-BORNE WATER?
DO ANY HH HAVE PIPE-BORNE WATER?
DO ANY HH HAVE PIPE-BORNE WATER?
DO ANY HH HAVE PIPE-BORNE WATER?
DO ANY HH HAVE PIPE-BORNE WATER?
49
1
YES
2
NO
9
DK
HOW MANY HH HAVE PIPE BORNE WATER?
HOW MANY HH HAVE PIPE BORNE WATER?
HOW MANY HH HAVE PIPE BORNE WATER?
HOW MANY HH HAVE PIPE BORNE WATER?
HOW MANY HH HAVE PIPE BORNE WATER?
10
39
1
ALMOST ALL
2
THREE QUARTERS
3
HALF
4
ONE QUARTER
5
A FEW
Sysmiss
SOURCE OF DRINKING WATER IN DRY SEASON
SOURCE OF DRINKING WATER IN DRY SEASON
SOURCE OF DRINKING WATER IN DRY SEASON
SOURCE OF DRINKING WATER IN DRY SEASON
SOURCE OF DRINKING WATER IN DRY SEASON
49
1
PRIVATE TAP
2
PUBLIC TAP
3
WELL WITHOUT PUMP
4
WELL WITH PUMP
5
SPRING
6
OTHER
OTHER
OTHER
OTHER
OTHER
OTHER
SOURCE OF DRINKING WATER IN RAINY SEASON
SOURCE OF DRINKING WATER IN RAINY SEASON
SOURCE OF DRINKING WATER IN RAINY SEASON
SOURCE OF DRINKING WATER IN RAINY SEASON
SOURCE OF DRINKING WATER IN RAINY SEASON
49
1
PRIVATE TAP
2
PUBLIC TAP
3
WELL WITHOUT PUMP
4
WELL WITH PUMP
5
SPRING
6
OTHER
OTHER
OTHER
OTHER
OTHER
OTHER
IS THERE A RESTAURANT
IS THERE A RESTAURANT
IS THERE A RESTAURANT
IS THERE A RESTAURANT
IS THERE A RESTAURANT
49
1
YES
2
NO
9
DK
IS THERE A POST OFFICE?
IS THERE A POST OFFICE?
IS THERE A POST OFFICE?
IS THERE A POST OFFICE?
IS THERE A POST OFFICE?
49
1
YES
2
NO
9
DK
HOW FAR IS THE POST OFFICE?
HOW FAR IS THE POST OFFICE?
HOW FAR IS THE POST OFFICE?
HOW FAR IS THE POST OFFICE?
HOW FAR IS THE POST OFFICE?
45
4
1
999
39.8
148.135
HOW FAR TO GO TO GET RECEPTION FOR A MOBILE PHONE?
HOW FAR TO GO TO GET RECEPTION FOR A MOBILE PHONE?
HOW FAR TO GO TO GET RECEPTION FOR A MOBILE PHONE?
HOW FAR TO GO TO GET RECEPTION FOR A MOBILE PHONE?
HOW FAR TO GO TO GET RECEPTION FOR A MOBILE PHONE?
49
80
5.837
16.606
HOW WOULD YOU DESCRIBE ACCESS TO MOBILE?
HOW WOULD YOU DESCRIBE ACCESS TO MOBILE?
HOW WOULD YOU DESCRIBE ACCESS TO MOBILE?
HOW WOULD YOU DESCRIBE ACCESS TO MOBILE?
HOW WOULD YOU DESCRIBE ACCESS TO MOBILE?
49
1
ALWAYS AVAILABLE
2
SOMETIMES AVAILABLE
3
RARELY AVAILABLE
IS THERE A BANK?
IS THERE A BANK?
IS THERE A BANK?
IS THERE A BANK?
IS THERE A BANK?
49
1
YES
2
NO
9
DK
HOW FAR IS A BANK?
HOW FAR IS A BANK?
HOW FAR IS A BANK?
HOW FAR IS A BANK?
HOW FAR IS A BANK?
46
3
1
100
30.587
25.605
IS THERE A DAILY MARKET?
IS THERE A DAILY MARKET?
IS THERE A DAILY MARKET?
IS THERE A DAILY MARKET?
IS THERE A DAILY MARKET?
49
1
YES
2
NO
9
DK
DISTANCE IN KM
DISTANCE IN KM
DISTANCE IN KM
DISTANCE IN KM
DISTANCE IN KM
26
23
2
100
22.577
24.353
IS THERE A PERIODIC MARKET?
IS THERE A PERIODIC MARKET?
IS THERE A PERIODIC MARKET?
IS THERE A PERIODIC MARKET?
IS THERE A PERIODIC MARKET?
49
1
YES
2
NO
9
DK
HOW OFTEN IS THE MARKET? NUMBER OF TIMES
HOW OFTEN IS THE MARKET? NUMBER OF TIMES
HOW OFTEN IS THE MARKET? NUMBER OF TIMES
HOW OFTEN IS THE MARKET? NUMBER OF TIMES
HOW OFTEN IS THE MARKET? NUMBER OF TIMES
14
35
1
2
Sysmiss
HOW OFTEN IS A MARKET? TIME UNIT
HOW OFTEN IS A MARKET? TIME UNIT
HOW OFTEN IS A MARKET? TIME UNIT
HOW OFTEN IS A MARKET? TIME UNIT
HOW OFTEN IS A MARKET? TIME UNIT
14
35
4
WEEK
5
MONTH
6
YEAR
Sysmiss
COPERIODIC MARKET LOCATION
COPERIODIC MARKET LOCATION
COPERIODIC MARKET LOCATION
COPERIODIC MARKET LOCATION
COPERIODIC MARKET LOCATION
35
BUGANDIKA BWOKI
BUGENE
BUKOBA MAIN MARKET
BUMAI
BUNAZI
BUSHEMBA
BWANJAI
IBOSA
ITAHWA
ITAHWA AMGEGE
KABANGA-BWOKI
KATOMA
KATORO
KELENGE
KIBENGWE
LWAGATI
MABIRA
MISSING
MUGANA
MUGOMA
MUGOMA-CENTRE
MURUSHENYE
NGARA TOWN
NTOBEYE
NYAKIBIMBILI
OMUKATOMA
OMURUSHAKA
RUBALE
UNKNOWN
DISTANCE IN KM
DISTANCE IN KM
DISTANCE IN KM
DISTANCE IN KM
DISTANCE IN KM
34
15
1
30
5.544
5.631
DOES PUBLIC TRANSPORT PASS BY?
DOES PUBLIC TRANSPORT PASS BY?
DOES PUBLIC TRANSPORT PASS BY?
DOES PUBLIC TRANSPORT PASS BY?
DOES PUBLIC TRANSPORT PASS BY?
49
1
YES
2
NO
9
DK
DISTANCE IN KM TO CATCH A PUBLIC TRANPORT
DISTANCE IN KM TO CATCH A PUBLIC TRANPORT
DISTANCE IN KM TO CATCH A PUBLIC TRANPORT
DISTANCE IN KM TO CATCH A PUBLIC TRANPORT
DISTANCE IN KM TO CATCH A PUBLIC TRANPORT
15
34
3
4
5
6
7
8
9
10
Sysmiss
HOW OFTEN PUBLIC TRANSPORT PASS BY? NUMBER
HOW OFTEN PUBLIC TRANSPORT PASS BY? NUMBER
HOW OFTEN PUBLIC TRANSPORT PASS BY? NUMBER
HOW OFTEN PUBLIC TRANSPORT PASS BY? NUMBER
HOW OFTEN PUBLIC TRANSPORT PASS BY? NUMBER
49
9999
423.367
1995.94
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
48
1
3
DAY
4
WEEK
5
MONTH
6
YEAR
9
Sysmiss
DOES ANY PEOPLE IN COM LEAVE TEMPORARY?
DOES ANY PEOPLE IN COM LEAVE TEMPORARY?
DOES ANY PEOPLE IN COM LEAVE TEMPORARY?
DOES ANY PEOPLE IN COM LEAVE TEMPORARY?
DOES ANY PEOPLE IN COM LEAVE TEMPORARY?
49
1
YES
2
NO
9
DK
AGE OF THE PEOPLE WHO FIND WORK OUTSIDE COM
AGE OF THE PEOPLE WHO FIND WORK OUTSIDE COM
AGE OF THE PEOPLE WHO FIND WORK OUTSIDE COM
AGE OF THE PEOPLE WHO FIND WORK OUTSIDE COM
AGE OF THE PEOPLE WHO FIND WORK OUTSIDE COM
41
8
1
15-25YRS
2
26-50YRS
3
OVER 50YRS
4
ALL AGES
Sysmiss
DO PEOPLE COME TO FIND TEMPORARY WORK IN COM?
DO PEOPLE COME TO FIND TEMPORARY WORK IN COM?
DO PEOPLE COME TO FIND TEMPORARY WORK IN COM?
DO PEOPLE COME TO FIND TEMPORARY WORK IN COM?
DO PEOPLE COME TO FIND TEMPORARY WORK IN COM?
49
1
YES
2
NO
9
DK
WHAT IS THE AGE RANGE OF PEOPLE COME TO WORK IN COM?
WHAT IS THE AGE RANGE OF PEOPLE COME TO WORK IN COM?
WHAT IS THE AGE RANGE OF PEOPLE COME TO WORK IN COM?
WHAT IS THE AGE RANGE OF PEOPLE COME TO WORK IN COM?
WHAT IS THE AGE RANGE OF PEOPLE COME TO WORK IN COM?
30
19
1
15-25YRS
2
26-50YRS
3
OVER 50YRS
4
ALL AGES
Sysmiss
IS IT DIFFICULT TO FIND WORK NOW THAN 10 YEARS AGO?
IS IT DIFFICULT TO FIND WORK NOW THAN 10 YEARS AGO?
IS IT DIFFICULT TO FIND WORK NOW THAN 10 YEARS AGO?
IS IT DIFFICULT TO FIND WORK NOW THAN 10 YEARS AGO?
IS IT DIFFICULT TO FIND WORK NOW THAN 10 YEARS AGO?
49
1
EASIER
2
DIFFICULT
3
NO CHANGE
9
DK
HAVE THERE BEEN ANY DISASTERS? IN LAST 10 YEARS?
HAVE THERE BEEN ANY DISASTERS? IN LAST 10 YEARS?
HAVE THERE BEEN ANY DISASTERS? IN LAST 10 YEARS?
HAVE THERE BEEN ANY DISASTERS? IN LAST 10 YEARS?
HAVE THERE BEEN ANY DISASTERS? IN LAST 10 YEARS?
49
1
YES
2
NO
9
DK
WERE THERE REFUGEE RELATED ROBBERIES?
WERE THERE REFUGEE RELATED ROBBERIES?
WERE THERE REFUGEE RELATED ROBBERIES?
WERE THERE REFUGEE RELATED ROBBERIES?
WERE THERE REFUGEE RELATED ROBBERIES?
49
1
YES MANY
2
YES FEW
3
NO
WERE THERE REFUGEES RESETTLEMENTS CLOSE BY?
WERE THERE REFUGEES RESETTLEMENTS CLOSE BY?
WERE THERE REFUGEES RESETTLEMENTS CLOSE BY?
WERE THERE REFUGEES RESETTLEMENTS CLOSE BY?
WERE THERE REFUGEES RESETTLEMENTS CLOSE BY?
49
1
IN THE VILLAGE
2
IN WARD
3
IN NEIGHBOURING WARD
4
NO
DO MEMBER OF COM ENGAGE IN COMMUNAL FARMING?
DO MEMBER OF COM ENGAGE IN COMMUNAL FARMING?
DO MEMBER OF COM ENGAGE IN COMMUNAL FARMING?
DO MEMBER OF COM ENGAGE IN COMMUNAL FARMING?
DO MEMBER OF COM ENGAGE IN COMMUNAL FARMING?
49
1
YES
2
NO
9
DK
COM FISHING?
COM FISHING?
COM FISHING?
COM FISHING?
COM FISHING?
49
1
YES
2
NO
9
DK
COM BUSSINESSES?
COM BUSSINESSES?
COM BUSSINESSES?
COM BUSSINESSES?
COM BUSSINESSES?
49
1
YES
2
NO
9
DK
OTHER COM INCOME GENERATING ACTIVITIES?
OTHER COM INCOME GENERATING ACTIVITIES?
OTHER COM INCOME GENERATING ACTIVITIES?
OTHER COM INCOME GENERATING ACTIVITIES?
OTHER COM INCOME GENERATING ACTIVITIES?
48
1
1
YES
2
NO
9
DK
Sysmiss
SPECIFY
SPECIFY
SPECIFY
SPECIFY
SPECIFY
2
HOUSE TO LEASE
LIVESTOCK
IS COM CONSIDERING ANY NEW INCOME GENERATING PROJECTS?
IS COM CONSIDERING ANY NEW INCOME GENERATING PROJECTS?
IS COM CONSIDERING ANY NEW INCOME GENERATING PROJECTS?
IS COM CONSIDERING ANY NEW INCOME GENERATING PROJECTS?
IS COM CONSIDERING ANY NEW INCOME GENERATING PROJECTS?
49
1
YES
2
NO
9
DK
WHAT NEW INCOME GENERATING PROJECTS IS COM CONSIDERING?
WHAT NEW INCOME GENERATING PROJECTS IS COM CONSIDERING?
WHAT NEW INCOME GENERATING PROJECTS IS COM CONSIDERING?
WHAT NEW INCOME GENERATING PROJECTS IS COM CONSIDERING?
WHAT NEW INCOME GENERATING PROJECTS IS COM CONSIDERING?
5
BRICK MAKING
COFFEE PROCESSING MACHINE
CONSTRUCTION OF LATRINE
FARMING AND LIVESTOCK
POULTRY
NEW INCOME GENERATING PROJECTS
NEW INCOME GENERATING PROJECTS
NEW INCOME GENERATING PROJECTS
NEW INCOME GENERATING PROJECTS
NEW INCOME GENERATING PROJECTS
3
AGRICULTURE-GARDEN
CONSTRUCTION OF CAR PARK
FARMING
NEW INCOME GENERATING PROJECTS
NEW INCOME GENERATING PROJECTS
NEW INCOME GENERATING PROJECTS
NEW INCOME GENERATING PROJECTS
NEW INCOME GENERATING PROJECTS
2
LIVESTOCK-MILK GOATS-COWS
PLANTING TREES
HAVE THERE BEEN COLLECTIVE ACTION ACTIVITIES IN PAST 12 MONT
HAVE THERE BEEN COLLECTIVE ACTION ACTIVITIES IN PAST 12 MONT
HAVE THERE BEEN COLLECTIVE ACTION ACTIVITIES IN PAST 12 MONT
HAVE THERE BEEN COLLECTIVE ACTION ACTIVITIES IN PAST 12 MONT
HAVE THERE BEEN COLLECTIVE ACTION ACTIVITIES IN PAST 12 MONT
49
1
YES
2
NO
9
DK
DOES COM HAVE COMMUNAL LAND?
DOES COM HAVE COMMUNAL LAND?
DOES COM HAVE COMMUNAL LAND?
DOES COM HAVE COMMUNAL LAND?
DOES COM HAVE COMMUNAL LAND?
49
1
YES
2
NO
9
DK
DOES COM HAVE COM FARM OR FISHING EGUIPMENT
DOES COM HAVE COM FARM OR FISHING EGUIPMENT
DOES COM HAVE COM FARM OR FISHING EGUIPMENT
DOES COM HAVE COM FARM OR FISHING EGUIPMENT
DOES COM HAVE COM FARM OR FISHING EGUIPMENT
49
1
YES
2
NO
9
DK
DOES COM HAVE COM TRANSPORT
DOES COM HAVE COM TRANSPORT
DOES COM HAVE COM TRANSPORT
DOES COM HAVE COM TRANSPORT
DOES COM HAVE COM TRANSPORT
49
1
YES
2
NO
9
DK
DOES COM HAVE COM WATER SUPPLY
DOES COM HAVE COM WATER SUPPLY
DOES COM HAVE COM WATER SUPPLY
DOES COM HAVE COM WATER SUPPLY
DOES COM HAVE COM WATER SUPPLY
49
1
YES
2
NO
9
DK
OTHER COM ASSETS
OTHER COM ASSETS
OTHER COM ASSETS
OTHER COM ASSETS
OTHER COM ASSETS
46
3
1
YES
2
NO
9
DK
Sysmiss
SPECIFY
SPECIFY
SPECIFY
SPECIFY
SPECIFY
16
BUILDINGS
CONTAINER
COOPERATIVE BUILDING
DISPENSARY
FARM
FOREST
PRIMARY SCHOOL
SCHOOL AND COPERATIVE BUILDING
SCHOOL BUILDING
SCHOOLS
STORE,GENERATOR,TREE FARM
TREE PLANTATION FARM
VILLAGE OFFICE
COMMUNITY ECONOMIC ACTIVITY
COMMUNITY ECONOMIC ACTIVITY
COMMUNITY ECONOMIC ACTIVITY
COMMUNITY ECONOMIC ACTIVITY
COMMUNITY ECONOMIC ACTIVITY
49
1
2
3
OTHER
OTHER
OTHER
OTHER
OTHER
COMMUNITY ECONOMIC ACTIVITY
COMMUNITY ECONOMIC ACTIVITY
COMMUNITY ECONOMIC ACTIVITY
COMMUNITY ECONOMIC ACTIVITY
COMMUNITY ECONOMIC ACTIVITY
45
4
1
2
3
5
6
8
12
13
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
14
LIVERSTOCK KEEPING
LIVESTOCK
QUARREL WORK
QUARRY WORK
COMMUNITY ECONOMIC ACTIVITY
COMMUNITY ECONOMIC ACTIVITY
COMMUNITY ECONOMIC ACTIVITY
COMMUNITY ECONOMIC ACTIVITY
COMMUNITY ECONOMIC ACTIVITY
35
14
2
3
4
5
6
8
12
13
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
5
CATTLE REARING
LIVESTOCK
COMMUNITY ECONOMIC ACTIVITY
COMMUNITY ECONOMIC ACTIVITY
COMMUNITY ECONOMIC ACTIVITY
COMMUNITY ECONOMIC ACTIVITY
COMMUNITY ECONOMIC ACTIVITY
23
26
3
5
6
7
8
9
11
12
13
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
3
CASUAL WORK
LIVESTOCK
STONE CRACKER
WHY? REASON
WHY? REASON
WHY? REASON
WHY? REASON
WHY? REASON
49
1
WEATHER/NATURAL DISASTER
2
CROP PESTS
3
ECONOMIC CRISIS/INFLATION
4
IMMIGRATION/REFUGEES
5
AIDS EPIDEMIC
6
BETTER SERVICES, WATER SUPPLY OR ROADS
7
GOOD WEATHER/RAINS/HARVEST
8
MORE JOBS/ECONOMIC IMPROVEMENTS
9
LOCAL DEVELOPMENT PROJECTS
10
DECLINING CROP PRICES
11
WORSE SERVICES (education, health)
12
MORE EXPENSIVE SERVICES (educ, health)
13
OTHER
OTHER
OTHER
OTHER
OTHER
OTHER
4
CAPABILITY TO DO PETTY BUSSINE
EDUCATION
PEOPLE HAVE BEEN ACTIVE IN DEV
WITCHCRAFT SUPERTIITION
WHY? REASON
WHY? REASON
WHY? REASON
WHY? REASON
WHY? REASON
43
6
1
WEATHER/NATURAL DISASTER
2
CROP PESTS
3
ECONOMIC CRISIS/INFLATION
4
IMMIGRATION/REFUGEES
5
AIDS EPIDEMIC
6
BETTER SERVICES, WATER SUPPLY OR ROADS
7
GOOD WEATHER/RAINS/HARVEST
8
MORE JOBS/ECONOMIC IMPROVEMENTS
9
LOCAL DEVELOPMENT PROJECTS
10
DECLINING CROP PRICES
11
WORSE SERVICES (education, health)
12
MORE EXPENSIVE SERVICES (educ, health)
13
OTHER
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
2
ORPHANS
TRAINED BY DIFFICULTIES
WHY? REASON
WHY? REASON
WHY? REASON
WHY? REASON
WHY? REASON
25
24
1
WEATHER/NATURAL DISASTER
2
CROP PESTS
3
ECONOMIC CRISIS/INFLATION
4
IMMIGRATION/REFUGEES
5
AIDS EPIDEMIC
6
BETTER SERVICES, WATER SUPPLY OR ROADS
7
GOOD WEATHER/RAINS/HARVEST
8
MORE JOBS/ECONOMIC IMPROVEMENTS
9
LOCAL DEVELOPMENT PROJECTS
10
DECLINING CROP PRICES
11
WORSE SERVICES (education, health)
12
MORE EXPENSIVE SERVICES (educ, health)
13
OTHER
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
6
GOOD POLITICS
HAVING PRIMARY/S NEAR BY
HIGH PRICE OF CROPS
INFLATION
LAND
LAZINESS/DRUNKNESS OF YOUTH
WHY? REASON
WHY? REASON
WHY? REASON
WHY? REASON
WHY? REASON
8
41
1
WEATHER/NATURAL DISASTER
2
CROP PESTS
3
ECONOMIC CRISIS/INFLATION
4
IMMIGRATION/REFUGEES
5
AIDS EPIDEMIC
6
BETTER SERVICES, WATER SUPPLY OR ROADS
7
GOOD WEATHER/RAINS/HARVEST
8
MORE JOBS/ECONOMIC IMPROVEMENTS
9
LOCAL DEVELOPMENT PROJECTS
10
DECLINING CROP PRICES
11
WORSE SERVICES (education, health)
12
MORE EXPENSIVE SERVICES (educ, health)
13
OTHER
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
2
AVAILABILITY OF LOANS
FERTILITY OF LAND
REASON WHERE DO MOST OF THEM GO
REASON WHERE DO MOST OF THEM GO
REASON WHERE DO MOST OF THEM GO
REASON WHERE DO MOST OF THEM GO
REASON WHERE DO MOST OF THEM GO
41
8
1
2
3
6
8
12
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
1
UGANDA
REASON WHERE DO MOST OF THEM GO
REASON WHERE DO MOST OF THEM GO
REASON WHERE DO MOST OF THEM GO
REASON WHERE DO MOST OF THEM GO
REASON WHERE DO MOST OF THEM GO
35
14
1
2
5
6
8
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
TYPE OF WORK THEY LOOK FOR FOR THIS TIME OF YEAR
TYPE OF WORK THEY LOOK FOR FOR THIS TIME OF YEAR
TYPE OF WORK THEY LOOK FOR FOR THIS TIME OF YEAR
TYPE OF WORK THEY LOOK FOR FOR THIS TIME OF YEAR
TYPE OF WORK THEY LOOK FOR FOR THIS TIME OF YEAR
41
8
1
2
3
5
12
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
TYPE OF WORK THEY LOOK FOR FOR THIS TIME OF YEAR
TYPE OF WORK THEY LOOK FOR FOR THIS TIME OF YEAR
TYPE OF WORK THEY LOOK FOR FOR THIS TIME OF YEAR
TYPE OF WORK THEY LOOK FOR FOR THIS TIME OF YEAR
TYPE OF WORK THEY LOOK FOR FOR THIS TIME OF YEAR
32
17
1
2
3
5
12
13
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
5
LUMBERING
MINING
OFFICE WORK
WHERE DO THEY COME FROM
WHERE DO THEY COME FROM
WHERE DO THEY COME FROM
WHERE DO THEY COME FROM
WHERE DO THEY COME FROM
30
19
1
2
3
6
8
10
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
WHERE DO THEY COME FROM
WHERE DO THEY COME FROM
WHERE DO THEY COME FROM
WHERE DO THEY COME FROM
WHERE DO THEY COME FROM
11
38
2
3
9
10
12
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
3
GANDANS
KAHAMA
UGANDA
WHAT TYPE OF WORK DO THEY DO IN COM?
WHAT TYPE OF WORK DO THEY DO IN COM?
WHAT TYPE OF WORK DO THEY DO IN COM?
WHAT TYPE OF WORK DO THEY DO IN COM?
WHAT TYPE OF WORK DO THEY DO IN COM?
30
19
1
2
3
4
5
12
13
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
2
BRICK MAKING
MINING
WHAT TYPE OF WORK DO THEY DO IN COM?
WHAT TYPE OF WORK DO THEY DO IN COM?
WHAT TYPE OF WORK DO THEY DO IN COM?
WHAT TYPE OF WORK DO THEY DO IN COM?
WHAT TYPE OF WORK DO THEY DO IN COM?
21
28
1
2
3
5
11
12
13
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
4
BRICKS MAKING
LIVESTOCK
WHAT TYPE OF DISASTERS?
WHAT TYPE OF DISASTERS?
WHAT TYPE OF DISASTERS?
WHAT TYPE OF DISASTERS?
WHAT TYPE OF DISASTERS?
48
1
1
2
4
5
6
8
9
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
10
BOM
FEMINE
STORM
WIND
WIND BREEZE
WIND STORM
WINDS
YEAR
YEAR
YEAR
YEAR
YEAR
48
1
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
Sysmiss
WHAT TYPE OF DISASTERS?
WHAT TYPE OF DISASTERS?
WHAT TYPE OF DISASTERS?
WHAT TYPE OF DISASTERS?
WHAT TYPE OF DISASTERS?
45
4
1
2
4
6
7
8
9
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
13
AIDS
BANDITRY
DEATH DUE TO SHIP SINK(MV BKB)
DISASTER OF MV.BUKOBA
FAMINE
MONKEYS EATING THERE HAVESTING
MV.BUKOBA
RAINSTOCK
REFUGEES
WIND
WIND BREEZE
YEAR
YEAR
YEAR
YEAR
YEAR
44
5
1983
9999
2179.568
1206.244
S2Q42 A. Daycare Centre/Feeding Post
S2Q42 A. Daycare Centre/Feeding Post
S2Q42 A. Daycare Centre/Feeding Post
S2Q42 A. Daycare Centre/Feeding Post
S2Q42 A. Daycare Centre/Feeding Post
49
1
2
S2Q42 A. Daycare Centre/Feeding Post: year est.
S2Q42 A. Daycare Centre/Feeding Post: year est.
S2Q42 A. Daycare Centre/Feeding Post: year est.
S2Q42 A. Daycare Centre/Feeding Post: year est.
S2Q42 A. Daycare Centre/Feeding Post: year est.
4
45
1992
1999
2003
Sysmiss
S2Q42 B. Tanzanian Red Cross Assistance
S2Q42 B. Tanzanian Red Cross Assistance
S2Q42 B. Tanzanian Red Cross Assistance
S2Q42 B. Tanzanian Red Cross Assistance
S2Q42 B. Tanzanian Red Cross Assistance
49
1
2
S2Q42 B. Tanzanian Red Cross Assistance: year est.
S2Q42 B. Tanzanian Red Cross Assistance: year est.
S2Q42 B. Tanzanian Red Cross Assistance: year est.
S2Q42 B. Tanzanian Red Cross Assistance: year est.
S2Q42 B. Tanzanian Red Cross Assistance: year est.
4
45
1994
1995
1997
2000
Sysmiss
S2Q42 C. Partage assistance
S2Q42 C. Partage assistance
S2Q42 C. Partage assistance
S2Q42 C. Partage assistance
S2Q42 C. Partage assistance
49
1
2
S2Q42 C. Partage: year est.
S2Q42 C. Partage: year est.
S2Q42 C. Partage: year est.
S2Q42 C. Partage: year est.
S2Q42 C. Partage: year est.
5
44
1989
1990
1991
1996
Sysmiss
S2Q42 D. Bakwata
S2Q42 D. Bakwata
S2Q42 D. Bakwata
S2Q42 D. Bakwata
S2Q42 D. Bakwata
49
1
2
S2Q42 D. Bakwata: year est.
S2Q42 D. Bakwata: year est.
S2Q42 D. Bakwata: year est.
S2Q42 D. Bakwata: year est.
S2Q42 D. Bakwata: year est.
1
48
1990
Sysmiss
S2Q42 E. ELCT assistance
S2Q42 E. ELCT assistance
S2Q42 E. ELCT assistance
S2Q42 E. ELCT assistance
S2Q42 E. ELCT assistance
49
1
2
S2Q42 E. ELCT: year est.
S2Q42 E. ELCT: year est.
S2Q42 E. ELCT: year est.
S2Q42 E. ELCT: year est.
S2Q42 E. ELCT: year est.
29
20
1988
1990
1991
1992
1994
1995
1998
1999
2000
2001
2003
Sysmiss
S2Q42 F. WAMATA
S2Q42 F. WAMATA
S2Q42 F. WAMATA
S2Q42 F. WAMATA
S2Q42 F. WAMATA
49
1
2
S2Q42 F. WAMATA: year est.
S2Q42 F. WAMATA: year est.
S2Q42 F. WAMATA: year est.
S2Q42 F. WAMATA: year est.
S2Q42 F. WAMATA: year est.
17
32
1992
9999
2938.235
2657.577
S2Q42 G. World Vision assistance
S2Q42 G. World Vision assistance
S2Q42 G. World Vision assistance
S2Q42 G. World Vision assistance
S2Q42 G. World Vision assistance
49
1
2
S2Q42 G. World Vision: year est.
S2Q42 G. World Vision: year est.
S2Q42 G. World Vision: year est.
S2Q42 G. World Vision: year est.
S2Q42 G. World Vision: year est.
18
31
1990
9999
2441.278
1886.161
S2Q42 H. Roman Catholic assistance
S2Q42 H. Roman Catholic assistance
S2Q42 H. Roman Catholic assistance
S2Q42 H. Roman Catholic assistance
S2Q42 H. Roman Catholic assistance
49
1
2
S2Q42 H. Roman Catholic: year est.
S2Q42 H. Roman Catholic: year est.
S2Q42 H. Roman Catholic: year est.
S2Q42 H. Roman Catholic: year est.
S2Q42 H. Roman Catholic: year est.
13
36
1992
1994
1995
1996
1998
2000
2003
Sysmiss
S2Q42 I. Other assistance
S2Q42 I. Other assistance
S2Q42 I. Other assistance
S2Q42 I. Other assistance
S2Q42 I. Other assistance
44
5
1
2
9
Sysmiss
OTHERS SPECIIFY
OTHERS SPECIIFY
OTHERS SPECIIFY
OTHERS SPECIIFY
OTHERS SPECIIFY
15
A.C.P
DRDP
HESAWA
K.D.C,KIBETA DEVELOPMENT CLUB
KAEMP
KCDP
MAYAWA
REVEMP
ROTARIES CLUB
SAWATA
SWISS AID
T.C.R.S
TADEPA
UNICEF
S2Q42 I. Other assistance: year est.
S2Q42 I. Other assistance: year est.
S2Q42 I. Other assistance: year est.
S2Q42 I. Other assistance: year est.
S2Q42 I. Other assistance: year est.
17
32
1984
9999
2939.765
2657.004
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
48
1
1
2
Sysmiss
KITONGOJI
KITONGOJI
KITONGOJI
KITONGOJI
KITONGOJI
49
1
2
AT LOWER
AT LOWER
AT LOWER
AT LOWER
AT LOWER
48
1
1
2
Sysmiss
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
48
1
2
Sysmiss
KITONGOJI
KITONGOJI
KITONGOJI
KITONGOJI
KITONGOJI
49
1
2
AT LOWER
AT LOWER
AT LOWER
AT LOWER
AT LOWER
48
1
1
2
Sysmiss
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
48
1
1
2
Sysmiss
KITONGOJI
KITONGOJI
KITONGOJI
KITONGOJI
KITONGOJI
49
1
2
AT LOWER
AT LOWER
AT LOWER
AT LOWER
AT LOWER
48
1
1
2
Sysmiss
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
48
1
1
2
Sysmiss
KITONGOJI
KITONGOJI
KITONGOJI
KITONGOJI
KITONGOJI
49
1
2
AT LOWER
AT LOWER
AT LOWER
AT LOWER
AT LOWER
48
1
1
2
Sysmiss
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
48
1
1
2
Sysmiss
KITONGOJI
KITONGOJI
KITONGOJI
KITONGOJI
KITONGOJI
49
1
2
AT LOWER
AT LOWER
AT LOWER
AT LOWER
AT LOWER
48
1
1
2
Sysmiss
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
48
1
2
Sysmiss
KITONGOJI
KITONGOJI
KITONGOJI
KITONGOJI
KITONGOJI
49
1
2
AT LOWER
AT LOWER
AT LOWER
AT LOWER
AT LOWER
48
1
1
2
Sysmiss
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
ARE THERE ANY OF THE FOLLOWING GROUPS AT VILLAGE LEVEL?
48
1
1
2
Sysmiss
KITONGOJI
KITONGOJI
KITONGOJI
KITONGOJI
KITONGOJI
49
1
2
AT LOWER
AT LOWER
AT LOWER
AT LOWER
AT LOWER
48
1
1
2
Sysmiss
LIST FOUR MAIN ACTIVITIES
LIST FOUR MAIN ACTIVITIES
LIST FOUR MAIN ACTIVITIES
LIST FOUR MAIN ACTIVITIES
LIST FOUR MAIN ACTIVITIES
41
BUILDING A DISPENSARY
BUILDING OF SCHOOL
BUILDING SCHOOL
BUILDING THE SCHOOL
CONSTRUCTION OF DISPENSARY
CONSTRUCTION OF HEALTH CENTRE
CONSTRUCTION OF SCHOOL
CONSTRUCTION OF SCHOOL P/S
CONSTRUCTION OF SCHOOL TOILET
CONSTRUCTION OF SEC SCHOOL
CONSTRUCTION OF SECONDARY
CONSTRUCTION SCHOOL BUILDING
DISPENSARY BUILDING
LAMBERING
P/SCHOOL CONSTRUCTION
ROAD CLEARING
ROAD REABILITATION
SCHOOL BUILDING
SCHOOL CONSTRUCTION
UHURU TORCH
VALUE IN KIND CONTRIBUTIONS EXPECTED FROM EACH HH TSHS
VALUE IN KIND CONTRIBUTIONS EXPECTED FROM EACH HH TSHS
VALUE IN KIND CONTRIBUTIONS EXPECTED FROM EACH HH TSHS
VALUE IN KIND CONTRIBUTIONS EXPECTED FROM EACH HH TSHS
VALUE IN KIND CONTRIBUTIONS EXPECTED FROM EACH HH TSHS
41
8
100
9999999
1862423
3790935.492
WHAT PERCEN OF HH PARTICIPATED?
WHAT PERCEN OF HH PARTICIPATED?
WHAT PERCEN OF HH PARTICIPATED?
WHAT PERCEN OF HH PARTICIPATED?
WHAT PERCEN OF HH PARTICIPATED?
27
22
5
999
100.963
181.717
LIST FOUR MAIN ACTIVITIES
LIST FOUR MAIN ACTIVITIES
LIST FOUR MAIN ACTIVITIES
LIST FOUR MAIN ACTIVITIES
LIST FOUR MAIN ACTIVITIES
28
BRICK MAKING
BUILDING A SCHOOL
BUILDING OF SCHOOL
BUILDING TEACHER`S HOUSES
CHURCH BUILDING
CONSTRUCTION OF BRIDGE
CONSTRUCTION OF P/SCHOOL
CONSTRUCTION OF ROADS
CONSTRUCTION OF SCHOOL
DESK FOR SCHOOL
DESKS
DISPENSARY BUILDING
HUNTING
MWENGE
RENOVATION OF SCHOOL
ROAD CLEARING
SALARY FOR WATCHMAN OF P/S
SCHOOL BUILDING
SCHOOL CONSTRUCTION
TAILORING
TEACHER`S HOUSE BUILDING
WATER PIPE CONSTRUCTION
WATER PROJECT
WATER SOURCES CLEARING
WELL BUILDING
WELL RIVERS BUILDING
VALUE IN KIND CONTRIBUTIONS EXPECTED FROM EACH HH TSHS
VALUE IN KIND CONTRIBUTIONS EXPECTED FROM EACH HH TSHS
VALUE IN KIND CONTRIBUTIONS EXPECTED FROM EACH HH TSHS
VALUE IN KIND CONTRIBUTIONS EXPECTED FROM EACH HH TSHS
VALUE IN KIND CONTRIBUTIONS EXPECTED FROM EACH HH TSHS
28
21
200
9999999
2147985.857
4175846.047
WHAT PERCEN OF HH PARTICIPATED?
WHAT PERCEN OF HH PARTICIPATED?
WHAT PERCEN OF HH PARTICIPATED?
WHAT PERCEN OF HH PARTICIPATED?
WHAT PERCEN OF HH PARTICIPATED?
28
21
2
999
161.607
296.942
LIST FOUR MAIN ACTIVITIES
LIST FOUR MAIN ACTIVITIES
LIST FOUR MAIN ACTIVITIES
LIST FOUR MAIN ACTIVITIES
LIST FOUR MAIN ACTIVITIES
12
BRIDGE CONSTRUCTION
CONSTRUCTING WATER WELLS
CONSTRUCTION OF SECONDARY/S
FISHING
MWENGE(UHURU TORCH)
NEW SCHOOL CONSTRUCTION
SCHOOL BUILDING
SCHOOL DESKS
TREE PLANTING
UHURU TORCH(MWENGE)
UHURU TORCH(MWENGE0
VALUE IN KIND CONTRIBUTIONS EXPECTED FROM EACH HH TSHS
VALUE IN KIND CONTRIBUTIONS EXPECTED FROM EACH HH TSHS
VALUE IN KIND CONTRIBUTIONS EXPECTED FROM EACH HH TSHS
VALUE IN KIND CONTRIBUTIONS EXPECTED FROM EACH HH TSHS
VALUE IN KIND CONTRIBUTIONS EXPECTED FROM EACH HH TSHS
12
37
100
9999999
1168961.583
3009115.054
WHAT PERCEN OF HH PARTICIPATED?
WHAT PERCEN OF HH PARTICIPATED?
WHAT PERCEN OF HH PARTICIPATED?
WHAT PERCEN OF HH PARTICIPATED?
WHAT PERCEN OF HH PARTICIPATED?
12
37
1
999
133.167
275.279
LIST FOUR MAIN ACTIVITIES
LIST FOUR MAIN ACTIVITIES
LIST FOUR MAIN ACTIVITIES
LIST FOUR MAIN ACTIVITIES
LIST FOUR MAIN ACTIVITIES
5
ROAD CONSTRUCTION
SALARY FOR VHW
SCHOOL BUILDING
SCHOOL CHAIRS
TUITION FEE
VALUE IN KIND CONTRIBUTIONS EXPECTED FROM EACH HH TSHS
VALUE IN KIND CONTRIBUTIONS EXPECTED FROM EACH HH TSHS
VALUE IN KIND CONTRIBUTIONS EXPECTED FROM EACH HH TSHS
VALUE IN KIND CONTRIBUTIONS EXPECTED FROM EACH HH TSHS
VALUE IN KIND CONTRIBUTIONS EXPECTED FROM EACH HH TSHS
5
44
500
1000000
200860
446733.084
WHAT PERCEN OF HH PARTICIPATED?
WHAT PERCEN OF HH PARTICIPATED?
WHAT PERCEN OF HH PARTICIPATED?
WHAT PERCEN OF HH PARTICIPATED?
WHAT PERCEN OF HH PARTICIPATED?
5
44
10
80
42
33.279
OTHER THAN NEIGHBORS AND RELATIVES FROM WHOM DO PEOPLE BORRO
OTHER THAN NEIGHBORS AND RELATIVES FROM WHOM DO PEOPLE BORRO
OTHER THAN NEIGHBORS AND RELATIVES FROM WHOM DO PEOPLE BORRO
OTHER THAN NEIGHBORS AND RELATIVES FROM WHOM DO PEOPLE BORRO
OTHER THAN NEIGHBORS AND RELATIVES FROM WHOM DO PEOPLE BORRO
49
1
2
IS THERE ONE OR MORE IN THIS COM?
IS THERE ONE OR MORE IN THIS COM?
IS THERE ONE OR MORE IN THIS COM?
IS THERE ONE OR MORE IN THIS COM?
IS THERE ONE OR MORE IN THIS COM?
8
41
1
2
Sysmiss
HOW MANY ARE THERE IN COM?
HOW MANY ARE THERE IN COM?
HOW MANY ARE THERE IN COM?
HOW MANY ARE THERE IN COM?
HOW MANY ARE THERE IN COM?
1
48
2
Sysmiss
HOW FAR IS IT IN KM TO THE NEAREST
HOW FAR IS IT IN KM TO THE NEAREST
HOW FAR IS IT IN KM TO THE NEAREST
HOW FAR IS IT IN KM TO THE NEAREST
HOW FAR IS IT IN KM TO THE NEAREST
7
42
1
22
8.429
7.678
WHAT IS THE SMALLEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE SMALLEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE SMALLEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE SMALLEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE SMALLEST AMOUNT THAT CAN BE BORROWED TSHS
8
41
50000
999999999
250281249.75
462736553.666
WHAT IS THE LARGEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE LARGEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE LARGEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE LARGEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE LARGEST AMOUNT THAT CAN BE BORROWED TSHS
8
41
1000000
999999999
264874999.75
454950683.679
DOES THE MOST USED BY COM MEMBERS REQUIRE SECURITY OR COLLAT
DOES THE MOST USED BY COM MEMBERS REQUIRE SECURITY OR COLLAT
DOES THE MOST USED BY COM MEMBERS REQUIRE SECURITY OR COLLAT
DOES THE MOST USED BY COM MEMBERS REQUIRE SECURITY OR COLLAT
DOES THE MOST USED BY COM MEMBERS REQUIRE SECURITY OR COLLAT
8
41
1
9
Sysmiss
WHAT IS THE USUAL TIME REPAYMENT TIME
WHAT IS THE USUAL TIME REPAYMENT TIME
WHAT IS THE USUAL TIME REPAYMENT TIME
WHAT IS THE USUAL TIME REPAYMENT TIME
WHAT IS THE USUAL TIME REPAYMENT TIME
7
42
1
999
286.286
486.877
WHAT IS THE USUAL TIME REPAYMENT UNIT
WHAT IS THE USUAL TIME REPAYMENT UNIT
WHAT IS THE USUAL TIME REPAYMENT UNIT
WHAT IS THE USUAL TIME REPAYMENT UNIT
WHAT IS THE USUAL TIME REPAYMENT UNIT
7
42
5
6
9
Sysmiss
CAN PAYMENT BE POSTPONED IN CASE OF POOR CROP OR OTHER EMERG
CAN PAYMENT BE POSTPONED IN CASE OF POOR CROP OR OTHER EMERG
CAN PAYMENT BE POSTPONED IN CASE OF POOR CROP OR OTHER EMERG
CAN PAYMENT BE POSTPONED IN CASE OF POOR CROP OR OTHER EMERG
CAN PAYMENT BE POSTPONED IN CASE OF POOR CROP OR OTHER EMERG
6
43
2
Sysmiss
OTHER THAN NEIGHBORS AND RELATIVES FROM WHOM DO PEOPLE BORRO
OTHER THAN NEIGHBORS AND RELATIVES FROM WHOM DO PEOPLE BORRO
OTHER THAN NEIGHBORS AND RELATIVES FROM WHOM DO PEOPLE BORRO
OTHER THAN NEIGHBORS AND RELATIVES FROM WHOM DO PEOPLE BORRO
OTHER THAN NEIGHBORS AND RELATIVES FROM WHOM DO PEOPLE BORRO
49
1
2
IS THERE ONE OR MORE IN THIS COM?
IS THERE ONE OR MORE IN THIS COM?
IS THERE ONE OR MORE IN THIS COM?
IS THERE ONE OR MORE IN THIS COM?
IS THERE ONE OR MORE IN THIS COM?
3
46
1
2
Sysmiss
HOW MANY ARE THERE IN COM?
HOW MANY ARE THERE IN COM?
HOW MANY ARE THERE IN COM?
HOW MANY ARE THERE IN COM?
HOW MANY ARE THERE IN COM?
1
48
2
Sysmiss
WHAT IS THE SMALLEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE SMALLEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE SMALLEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE SMALLEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE SMALLEST AMOUNT THAT CAN BE BORROWED TSHS
2
47
10000
5000
7071.068
WHAT IS THE LARGEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE LARGEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE LARGEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE LARGEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE LARGEST AMOUNT THAT CAN BE BORROWED TSHS
2
47
60000
30000
42426.407
DOES THE MOST USED BY COM MEMBERS REQUIRE SECURITY OR COLLAT
DOES THE MOST USED BY COM MEMBERS REQUIRE SECURITY OR COLLAT
DOES THE MOST USED BY COM MEMBERS REQUIRE SECURITY OR COLLAT
DOES THE MOST USED BY COM MEMBERS REQUIRE SECURITY OR COLLAT
DOES THE MOST USED BY COM MEMBERS REQUIRE SECURITY OR COLLAT
2
47
2
Sysmiss
WHAT IS THE USUAL TIME REPAYMENT TIME
WHAT IS THE USUAL TIME REPAYMENT TIME
WHAT IS THE USUAL TIME REPAYMENT TIME
WHAT IS THE USUAL TIME REPAYMENT TIME
WHAT IS THE USUAL TIME REPAYMENT TIME
2
47
1
Sysmiss
WHAT IS THE USUAL TIME REPAYMENT UNIT
WHAT IS THE USUAL TIME REPAYMENT UNIT
WHAT IS THE USUAL TIME REPAYMENT UNIT
WHAT IS THE USUAL TIME REPAYMENT UNIT
WHAT IS THE USUAL TIME REPAYMENT UNIT
2
47
5
Sysmiss
CAN PAYMENT BE POSTPONED IN CASE OF POOR CROP OR OTHER EMERG
CAN PAYMENT BE POSTPONED IN CASE OF POOR CROP OR OTHER EMERG
CAN PAYMENT BE POSTPONED IN CASE OF POOR CROP OR OTHER EMERG
CAN PAYMENT BE POSTPONED IN CASE OF POOR CROP OR OTHER EMERG
CAN PAYMENT BE POSTPONED IN CASE OF POOR CROP OR OTHER EMERG
2
47
1
2
Sysmiss
OTHER THAN NEIGHBORS AND RELATIVES FROM WHOM DO PEOPLE BORRO
OTHER THAN NEIGHBORS AND RELATIVES FROM WHOM DO PEOPLE BORRO
OTHER THAN NEIGHBORS AND RELATIVES FROM WHOM DO PEOPLE BORRO
OTHER THAN NEIGHBORS AND RELATIVES FROM WHOM DO PEOPLE BORRO
OTHER THAN NEIGHBORS AND RELATIVES FROM WHOM DO PEOPLE BORRO
49
1
2
IS THERE ONE OR MORE IN THIS COM?
IS THERE ONE OR MORE IN THIS COM?
IS THERE ONE OR MORE IN THIS COM?
IS THERE ONE OR MORE IN THIS COM?
IS THERE ONE OR MORE IN THIS COM?
6
43
1
2
Sysmiss
HOW MANY ARE THERE IN COM?
HOW MANY ARE THERE IN COM?
HOW MANY ARE THERE IN COM?
HOW MANY ARE THERE IN COM?
HOW MANY ARE THERE IN COM?
5
44
1
3
4
Sysmiss
HOW FAR IS IT IN KM TO THE NEAREST
HOW FAR IS IT IN KM TO THE NEAREST
HOW FAR IS IT IN KM TO THE NEAREST
HOW FAR IS IT IN KM TO THE NEAREST
HOW FAR IS IT IN KM TO THE NEAREST
2
47
999
499.5
706.4
WHAT IS THE SMALLEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE SMALLEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE SMALLEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE SMALLEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE SMALLEST AMOUNT THAT CAN BE BORROWED TSHS
5
44
5000
100000
34000
41442.732
WHAT IS THE LARGEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE LARGEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE LARGEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE LARGEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE LARGEST AMOUNT THAT CAN BE BORROWED TSHS
5
44
50000
500000
190000
181659.021
DOES THE MOST USED BY COM MEMBERS REQUIRE SECURITY OR COLLAT
DOES THE MOST USED BY COM MEMBERS REQUIRE SECURITY OR COLLAT
DOES THE MOST USED BY COM MEMBERS REQUIRE SECURITY OR COLLAT
DOES THE MOST USED BY COM MEMBERS REQUIRE SECURITY OR COLLAT
DOES THE MOST USED BY COM MEMBERS REQUIRE SECURITY OR COLLAT
5
44
1
2
Sysmiss
WHAT IS THE USUAL TIME REPAYMENT TIME
WHAT IS THE USUAL TIME REPAYMENT TIME
WHAT IS THE USUAL TIME REPAYMENT TIME
WHAT IS THE USUAL TIME REPAYMENT TIME
WHAT IS THE USUAL TIME REPAYMENT TIME
5
44
1
999
200.8
446.208
WHAT IS THE USUAL TIME REPAYMENT UNIT
WHAT IS THE USUAL TIME REPAYMENT UNIT
WHAT IS THE USUAL TIME REPAYMENT UNIT
WHAT IS THE USUAL TIME REPAYMENT UNIT
WHAT IS THE USUAL TIME REPAYMENT UNIT
5
44
5
6
9
Sysmiss
CAN PAYMENT BE POSTPONED IN CASE OF POOR CROP OR OTHER EMERG
CAN PAYMENT BE POSTPONED IN CASE OF POOR CROP OR OTHER EMERG
CAN PAYMENT BE POSTPONED IN CASE OF POOR CROP OR OTHER EMERG
CAN PAYMENT BE POSTPONED IN CASE OF POOR CROP OR OTHER EMERG
CAN PAYMENT BE POSTPONED IN CASE OF POOR CROP OR OTHER EMERG
5
44
1
2
Sysmiss
OTHER THAN NEIGHBORS AND RELATIVES FROM WHOM DO PEOPLE BORRO
OTHER THAN NEIGHBORS AND RELATIVES FROM WHOM DO PEOPLE BORRO
OTHER THAN NEIGHBORS AND RELATIVES FROM WHOM DO PEOPLE BORRO
OTHER THAN NEIGHBORS AND RELATIVES FROM WHOM DO PEOPLE BORRO
OTHER THAN NEIGHBORS AND RELATIVES FROM WHOM DO PEOPLE BORRO
49
1
2
IS THERE ONE OR MORE IN THIS COM?
IS THERE ONE OR MORE IN THIS COM?
IS THERE ONE OR MORE IN THIS COM?
IS THERE ONE OR MORE IN THIS COM?
IS THERE ONE OR MORE IN THIS COM?
8
41
1
2
Sysmiss
HOW MANY ARE THERE IN COM?
HOW MANY ARE THERE IN COM?
HOW MANY ARE THERE IN COM?
HOW MANY ARE THERE IN COM?
HOW MANY ARE THERE IN COM?
5
44
1
2
Sysmiss
HOW FAR IS IT IN KM TO THE NEAREST
HOW FAR IS IT IN KM TO THE NEAREST
HOW FAR IS IT IN KM TO THE NEAREST
HOW FAR IS IT IN KM TO THE NEAREST
HOW FAR IS IT IN KM TO THE NEAREST
4
45
999
250.25
499.168
WHAT IS THE SMALLEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE SMALLEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE SMALLEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE SMALLEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE SMALLEST AMOUNT THAT CAN BE BORROWED TSHS
7
42
1000
50000
20857.143
20739.886
WHAT IS THE LARGEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE LARGEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE LARGEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE LARGEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE LARGEST AMOUNT THAT CAN BE BORROWED TSHS
7
42
10000
500000
165714.286
173383.692
DOES THE MOST USED BY COM MEMBERS REQUIRE SECURITY OR COLLAT
DOES THE MOST USED BY COM MEMBERS REQUIRE SECURITY OR COLLAT
DOES THE MOST USED BY COM MEMBERS REQUIRE SECURITY OR COLLAT
DOES THE MOST USED BY COM MEMBERS REQUIRE SECURITY OR COLLAT
DOES THE MOST USED BY COM MEMBERS REQUIRE SECURITY OR COLLAT
7
42
1
Sysmiss
WHAT IS THE USUAL TIME REPAYMENT TIME
WHAT IS THE USUAL TIME REPAYMENT TIME
WHAT IS THE USUAL TIME REPAYMENT TIME
WHAT IS THE USUAL TIME REPAYMENT TIME
WHAT IS THE USUAL TIME REPAYMENT TIME
7
42
1
3
Sysmiss
WHAT IS THE USUAL TIME REPAYMENT UNIT
WHAT IS THE USUAL TIME REPAYMENT UNIT
WHAT IS THE USUAL TIME REPAYMENT UNIT
WHAT IS THE USUAL TIME REPAYMENT UNIT
WHAT IS THE USUAL TIME REPAYMENT UNIT
7
42
4
5
6
Sysmiss
CAN PAYMENT BE POSTPONED IN CASE OF POOR CROP OR OTHER EMERG
CAN PAYMENT BE POSTPONED IN CASE OF POOR CROP OR OTHER EMERG
CAN PAYMENT BE POSTPONED IN CASE OF POOR CROP OR OTHER EMERG
CAN PAYMENT BE POSTPONED IN CASE OF POOR CROP OR OTHER EMERG
CAN PAYMENT BE POSTPONED IN CASE OF POOR CROP OR OTHER EMERG
7
42
1
2
Sysmiss
OTHER THAN NEIGHBORS AND RELATIVES FROM WHOM DO PEOPLE BORRO
OTHER THAN NEIGHBORS AND RELATIVES FROM WHOM DO PEOPLE BORRO
OTHER THAN NEIGHBORS AND RELATIVES FROM WHOM DO PEOPLE BORRO
OTHER THAN NEIGHBORS AND RELATIVES FROM WHOM DO PEOPLE BORRO
OTHER THAN NEIGHBORS AND RELATIVES FROM WHOM DO PEOPLE BORRO
49
1
2
IS THERE ONE OR MORE IN THIS COM?
IS THERE ONE OR MORE IN THIS COM?
IS THERE ONE OR MORE IN THIS COM?
IS THERE ONE OR MORE IN THIS COM?
IS THERE ONE OR MORE IN THIS COM?
17
32
1
2
Sysmiss
HOW MANY ARE THERE IN COM?
HOW MANY ARE THERE IN COM?
HOW MANY ARE THERE IN COM?
HOW MANY ARE THERE IN COM?
HOW MANY ARE THERE IN COM?
7
42
1
99
15.857
36.676
HOW FAR IS IT IN KM TO THE NEAREST
HOW FAR IS IT IN KM TO THE NEAREST
HOW FAR IS IT IN KM TO THE NEAREST
HOW FAR IS IT IN KM TO THE NEAREST
HOW FAR IS IT IN KM TO THE NEAREST
10
39
999
202.6
419.746
WHAT IS THE SMALLEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE SMALLEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE SMALLEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE SMALLEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE SMALLEST AMOUNT THAT CAN BE BORROWED TSHS
16
33
10000
999999999
62552187.438
249986084.316
WHAT IS THE LARGEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE LARGEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE LARGEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE LARGEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE LARGEST AMOUNT THAT CAN BE BORROWED TSHS
16
33
100000
999999999
63399999.938
249764061.75
DOES THE MOST USED BY COM MEMBERS REQUIRE SECURITY OR COLLAT
DOES THE MOST USED BY COM MEMBERS REQUIRE SECURITY OR COLLAT
DOES THE MOST USED BY COM MEMBERS REQUIRE SECURITY OR COLLAT
DOES THE MOST USED BY COM MEMBERS REQUIRE SECURITY OR COLLAT
DOES THE MOST USED BY COM MEMBERS REQUIRE SECURITY OR COLLAT
16
33
1
2
9
Sysmiss
WHAT IS THE USUAL TIME REPAYMENT TIME
WHAT IS THE USUAL TIME REPAYMENT TIME
WHAT IS THE USUAL TIME REPAYMENT TIME
WHAT IS THE USUAL TIME REPAYMENT TIME
WHAT IS THE USUAL TIME REPAYMENT TIME
16
33
1
999
63.688
249.42
WHAT IS THE USUAL TIME REPAYMENT UNIT
WHAT IS THE USUAL TIME REPAYMENT UNIT
WHAT IS THE USUAL TIME REPAYMENT UNIT
WHAT IS THE USUAL TIME REPAYMENT UNIT
WHAT IS THE USUAL TIME REPAYMENT UNIT
16
33
4
5
9
Sysmiss
CAN PAYMENT BE POSTPONED IN CASE OF POOR CROP OR OTHER EMERG
CAN PAYMENT BE POSTPONED IN CASE OF POOR CROP OR OTHER EMERG
CAN PAYMENT BE POSTPONED IN CASE OF POOR CROP OR OTHER EMERG
CAN PAYMENT BE POSTPONED IN CASE OF POOR CROP OR OTHER EMERG
CAN PAYMENT BE POSTPONED IN CASE OF POOR CROP OR OTHER EMERG
15
34
1
2
Sysmiss
OTHER THAN NEIGHBORS AND RELATIVES FROM WHOM DO PEOPLE BORRO
OTHER THAN NEIGHBORS AND RELATIVES FROM WHOM DO PEOPLE BORRO
OTHER THAN NEIGHBORS AND RELATIVES FROM WHOM DO PEOPLE BORRO
OTHER THAN NEIGHBORS AND RELATIVES FROM WHOM DO PEOPLE BORRO
OTHER THAN NEIGHBORS AND RELATIVES FROM WHOM DO PEOPLE BORRO
49
1
2
OTHERS SPECIFY
OTHERS SPECIFY
OTHERS SPECIFY
OTHERS SPECIFY
OTHERS SPECIFY
8
COMMITTEE
COUNCIL TOWN
E.L.C.T,SACCOSS
SACCOS
SWISS AID
THINKA
WOMEN GROUPS
IS THERE ONE OR MORE IN THIS COM?
IS THERE ONE OR MORE IN THIS COM?
IS THERE ONE OR MORE IN THIS COM?
IS THERE ONE OR MORE IN THIS COM?
IS THERE ONE OR MORE IN THIS COM?
8
41
1
2
Sysmiss
HOW MANY ARE THERE IN COM?
HOW MANY ARE THERE IN COM?
HOW MANY ARE THERE IN COM?
HOW MANY ARE THERE IN COM?
HOW MANY ARE THERE IN COM?
4
45
1
4
10
Sysmiss
HOW FAR IS IT IN KM TO THE NEAREST
HOW FAR IS IT IN KM TO THE NEAREST
HOW FAR IS IT IN KM TO THE NEAREST
HOW FAR IS IT IN KM TO THE NEAREST
HOW FAR IS IT IN KM TO THE NEAREST
4
45
5
6
8
Sysmiss
WHAT IS THE SMALLEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE SMALLEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE SMALLEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE SMALLEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE SMALLEST AMOUNT THAT CAN BE BORROWED TSHS
8
41
5000
999999999
125031874.875
353540512.135
WHAT IS THE LARGEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE LARGEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE LARGEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE LARGEST AMOUNT THAT CAN BE BORROWED TSHS
WHAT IS THE LARGEST AMOUNT THAT CAN BE BORROWED TSHS
8
41
25000
999999999
125228124.875
353461359.284
DOES THE MOST USED BY COM MEMBERS REQUIRE SECURITY OR COLLAT
DOES THE MOST USED BY COM MEMBERS REQUIRE SECURITY OR COLLAT
DOES THE MOST USED BY COM MEMBERS REQUIRE SECURITY OR COLLAT
DOES THE MOST USED BY COM MEMBERS REQUIRE SECURITY OR COLLAT
DOES THE MOST USED BY COM MEMBERS REQUIRE SECURITY OR COLLAT
8
41
1
2
Sysmiss
WHAT IS THE USUAL TIME REPAYMENT TIME
WHAT IS THE USUAL TIME REPAYMENT TIME
WHAT IS THE USUAL TIME REPAYMENT TIME
WHAT IS THE USUAL TIME REPAYMENT TIME
WHAT IS THE USUAL TIME REPAYMENT TIME
8
41
1
999
127
352.345
WHAT IS THE USUAL TIME REPAYMENT UNIT
WHAT IS THE USUAL TIME REPAYMENT UNIT
WHAT IS THE USUAL TIME REPAYMENT UNIT
WHAT IS THE USUAL TIME REPAYMENT UNIT
WHAT IS THE USUAL TIME REPAYMENT UNIT
8
41
4
5
6
9
Sysmiss
CAN PAYMENT BE POSTPONED IN CASE OF POOR CROP OR OTHER EMERG
CAN PAYMENT BE POSTPONED IN CASE OF POOR CROP OR OTHER EMERG
CAN PAYMENT BE POSTPONED IN CASE OF POOR CROP OR OTHER EMERG
CAN PAYMENT BE POSTPONED IN CASE OF POOR CROP OR OTHER EMERG
CAN PAYMENT BE POSTPONED IN CASE OF POOR CROP OR OTHER EMERG
8
41
1
2
9
Sysmiss
IS THERE A PRIMARY SCHOOL IN COM?
IS THERE A PRIMARY SCHOOL IN COM?
IS THERE A PRIMARY SCHOOL IN COM?
IS THERE A PRIMARY SCHOOL IN COM?
IS THERE A PRIMARY SCHOOL IN COM?
49
1
YES
2
NO
9
DK
HOW FAR IS THE NEAREST P/S KM
HOW FAR IS THE NEAREST P/S KM
HOW FAR IS THE NEAREST P/S KM
HOW FAR IS THE NEAREST P/S KM
HOW FAR IS THE NEAREST P/S KM
49
Sysmiss
LOCATION OF NEAREST PRIMARY SCHOOL
LOCATION OF NEAREST PRIMARY SCHOOL
LOCATION OF NEAREST PRIMARY SCHOOL
LOCATION OF NEAREST PRIMARY SCHOOL
LOCATION OF NEAREST PRIMARY SCHOOL
NAME OF NEAREST PRIMARY SCHOOL
NAME OF NEAREST PRIMARY SCHOOL
NAME OF NEAREST PRIMARY SCHOOL
NAME OF NEAREST PRIMARY SCHOOL
NAME OF NEAREST PRIMARY SCHOOL
HOW MANY P/S ARE IN COM?
HOW MANY P/S ARE IN COM?
HOW MANY P/S ARE IN COM?
HOW MANY P/S ARE IN COM?
HOW MANY P/S ARE IN COM?
49
1
99
3.408
13.952
HOW FAR IS THE NEAREST NURSERY SCHOOL KM
HOW FAR IS THE NEAREST NURSERY SCHOOL KM
HOW FAR IS THE NEAREST NURSERY SCHOOL KM
HOW FAR IS THE NEAREST NURSERY SCHOOL KM
HOW FAR IS THE NEAREST NURSERY SCHOOL KM
49
999
87.582
275.313
DOES THIS SHOOL HAVE THE SEPARATE BUILDING?
DOES THIS SHOOL HAVE THE SEPARATE BUILDING?
DOES THIS SHOOL HAVE THE SEPARATE BUILDING?
DOES THIS SHOOL HAVE THE SEPARATE BUILDING?
DOES THIS SHOOL HAVE THE SEPARATE BUILDING?
49
1
SEPARATE
2
OWN HOUSE
9
HOW MUCH DO CHILDREN PAY FOR THE NURSERY TSHS
HOW MUCH DO CHILDREN PAY FOR THE NURSERY TSHS
HOW MUCH DO CHILDREN PAY FOR THE NURSERY TSHS
HOW MUCH DO CHILDREN PAY FOR THE NURSERY TSHS
HOW MUCH DO CHILDREN PAY FOR THE NURSERY TSHS
46
3
9999999
1305579.217
3404544.075
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
46
3
4
WEEK
5
MONTH
6
YEAR
9
Sysmiss
HOW FAR IS THE SCHOOL FROM COM KM
HOW FAR IS THE SCHOOL FROM COM KM
HOW FAR IS THE SCHOOL FROM COM KM
HOW FAR IS THE SCHOOL FROM COM KM
HOW FAR IS THE SCHOOL FROM COM KM
49
99999
2050.694
14284.139
IS IT PUBLIC OR PRIVATE?
IS IT PUBLIC OR PRIVATE?
IS IT PUBLIC OR PRIVATE?
IS IT PUBLIC OR PRIVATE?
IS IT PUBLIC OR PRIVATE?
49
1
2
3
HOW MANY FORMS DOES THE SCHOOL HAVE
HOW MANY FORMS DOES THE SCHOOL HAVE
HOW MANY FORMS DOES THE SCHOOL HAVE
HOW MANY FORMS DOES THE SCHOOL HAVE
HOW MANY FORMS DOES THE SCHOOL HAVE
49
1
2
3
4
6
IN WHAT YEAR DID THIS SCHOOL OPEN?
IN WHAT YEAR DID THIS SCHOOL OPEN?
IN WHAT YEAR DID THIS SCHOOL OPEN?
IN WHAT YEAR DID THIS SCHOOL OPEN?
IN WHAT YEAR DID THIS SCHOOL OPEN?
49
1947
99999
14522.49
32380.366
IS THIS A BOARDING SCHOOL?
IS THIS A BOARDING SCHOOL?
IS THIS A BOARDING SCHOOL?
IS THIS A BOARDING SCHOOL?
IS THIS A BOARDING SCHOOL?
48
1
1
2
3
Sysmiss
HOW FAR IS THE SCHOOL FROM COM KM
HOW FAR IS THE SCHOOL FROM COM KM
HOW FAR IS THE SCHOOL FROM COM KM
HOW FAR IS THE SCHOOL FROM COM KM
HOW FAR IS THE SCHOOL FROM COM KM
34
15
1
80
15.971
15.229
IS IT PUBLIC OR PRIVATE?
IS IT PUBLIC OR PRIVATE?
IS IT PUBLIC OR PRIVATE?
IS IT PUBLIC OR PRIVATE?
IS IT PUBLIC OR PRIVATE?
34
15
1
2
3
Sysmiss
HOW MANY FORMS DOES THE SCHOOL HAVE
HOW MANY FORMS DOES THE SCHOOL HAVE
HOW MANY FORMS DOES THE SCHOOL HAVE
HOW MANY FORMS DOES THE SCHOOL HAVE
HOW MANY FORMS DOES THE SCHOOL HAVE
34
15
2
3
4
6
Sysmiss
IN WHAT YEAR DID THIS SCHOOL OPEN?
IN WHAT YEAR DID THIS SCHOOL OPEN?
IN WHAT YEAR DID THIS SCHOOL OPEN?
IN WHAT YEAR DID THIS SCHOOL OPEN?
IN WHAT YEAR DID THIS SCHOOL OPEN?
34
15
1940
99999
22166.471
40226.366
IS THIS A BOARDING SCHOOL?
IS THIS A BOARDING SCHOOL?
IS THIS A BOARDING SCHOOL?
IS THIS A BOARDING SCHOOL?
IS THIS A BOARDING SCHOOL?
34
15
1
2
3
9
Sysmiss
HOW FAR IS THE SCHOOL FROM COM KM
HOW FAR IS THE SCHOOL FROM COM KM
HOW FAR IS THE SCHOOL FROM COM KM
HOW FAR IS THE SCHOOL FROM COM KM
HOW FAR IS THE SCHOOL FROM COM KM
17
32
1
80
23.529
25.627
IS IT PUBLIC OR PRIVATE?
IS IT PUBLIC OR PRIVATE?
IS IT PUBLIC OR PRIVATE?
IS IT PUBLIC OR PRIVATE?
IS IT PUBLIC OR PRIVATE?
17
32
1
2
3
Sysmiss
HOW MANY FORMS DOES THE SCHOOL HAVE
HOW MANY FORMS DOES THE SCHOOL HAVE
HOW MANY FORMS DOES THE SCHOOL HAVE
HOW MANY FORMS DOES THE SCHOOL HAVE
HOW MANY FORMS DOES THE SCHOOL HAVE
17
32
1
2
4
Sysmiss
IN WHAT YEAR DID THIS SCHOOL OPEN?
IN WHAT YEAR DID THIS SCHOOL OPEN?
IN WHAT YEAR DID THIS SCHOOL OPEN?
IN WHAT YEAR DID THIS SCHOOL OPEN?
IN WHAT YEAR DID THIS SCHOOL OPEN?
17
32
1957
99999
19284.059
38513.682
IS THIS A BOARDING SCHOOL?
IS THIS A BOARDING SCHOOL?
IS THIS A BOARDING SCHOOL?
IS THIS A BOARDING SCHOOL?
IS THIS A BOARDING SCHOOL?
17
32
2
3
Sysmiss
HOW FAR OS THE SCHOOL KM
HOW FAR OS THE SCHOOL KM
HOW FAR OS THE SCHOOL KM
HOW FAR OS THE SCHOOL KM
HOW FAR OS THE SCHOOL KM
46
3
99999
2188.739
14741.827
IS IT PUBLIC OR PRIVATE
IS IT PUBLIC OR PRIVATE
IS IT PUBLIC OR PRIVATE
IS IT PUBLIC OR PRIVATE
IS IT PUBLIC OR PRIVATE
46
3
1
2
3
Sysmiss
IN WHAT YEAR DID THIS SCHOOL OPEN?
IN WHAT YEAR DID THIS SCHOOL OPEN?
IN WHAT YEAR DID THIS SCHOOL OPEN?
IN WHAT YEAR DID THIS SCHOOL OPEN?
IN WHAT YEAR DID THIS SCHOOL OPEN?
45
4
99999
28079.889
43859.908
HOW FAR OS THE SCHOOL KM
HOW FAR OS THE SCHOOL KM
HOW FAR OS THE SCHOOL KM
HOW FAR OS THE SCHOOL KM
HOW FAR OS THE SCHOOL KM
29
20
99999
6912.448
25783.397
IS IT PUBLIC OR PRIVATE
IS IT PUBLIC OR PRIVATE
IS IT PUBLIC OR PRIVATE
IS IT PUBLIC OR PRIVATE
IS IT PUBLIC OR PRIVATE
29
20
1
2
3
Sysmiss
IN WHAT YEAR DID THIS SCHOOL OPEN?
IN WHAT YEAR DID THIS SCHOOL OPEN?
IN WHAT YEAR DID THIS SCHOOL OPEN?
IN WHAT YEAR DID THIS SCHOOL OPEN?
IN WHAT YEAR DID THIS SCHOOL OPEN?
29
20
1952
99999
29024.345
44581.906
HOW FAR OS THE SCHOOL KM
HOW FAR OS THE SCHOOL KM
HOW FAR OS THE SCHOOL KM
HOW FAR OS THE SCHOOL KM
HOW FAR OS THE SCHOOL KM
8
41
45
11.25
16.078
IS IT PUBLIC OR PRIVATE
IS IT PUBLIC OR PRIVATE
IS IT PUBLIC OR PRIVATE
IS IT PUBLIC OR PRIVATE
IS IT PUBLIC OR PRIVATE
8
41
1
2
3
Sysmiss
IN WHAT YEAR DID THIS SCHOOL OPEN?
IN WHAT YEAR DID THIS SCHOOL OPEN?
IN WHAT YEAR DID THIS SCHOOL OPEN?
IN WHAT YEAR DID THIS SCHOOL OPEN?
IN WHAT YEAR DID THIS SCHOOL OPEN?
8
41
1985
99999
14246.25
34649.344
ARE THERE ANY DRUG SHOPS IN THIS COM?
ARE THERE ANY DRUG SHOPS IN THIS COM?
ARE THERE ANY DRUG SHOPS IN THIS COM?
ARE THERE ANY DRUG SHOPS IN THIS COM?
ARE THERE ANY DRUG SHOPS IN THIS COM?
49
1
YES
2
NO
9
DK
ARE THER ANY PRIVATE LABORATORIES IN THIS COM?
ARE THER ANY PRIVATE LABORATORIES IN THIS COM?
ARE THER ANY PRIVATE LABORATORIES IN THIS COM?
ARE THER ANY PRIVATE LABORATORIES IN THIS COM?
ARE THER ANY PRIVATE LABORATORIES IN THIS COM?
49
1
YES
2
NO
9
DK
ARE THERE ANY TRADITIONAL HEALERS IN COM?
ARE THERE ANY TRADITIONAL HEALERS IN COM?
ARE THERE ANY TRADITIONAL HEALERS IN COM?
ARE THERE ANY TRADITIONAL HEALERS IN COM?
ARE THERE ANY TRADITIONAL HEALERS IN COM?
49
1
YES
2
NO
9
DK
HOW MANY TRADITIONAL HEALERS IN COM?
HOW MANY TRADITIONAL HEALERS IN COM?
HOW MANY TRADITIONAL HEALERS IN COM?
HOW MANY TRADITIONAL HEALERS IN COM?
HOW MANY TRADITIONAL HEALERS IN COM?
43
6
1
26
6.581
5.611
IN KM
IN KM
IN KM
IN KM
IN KM
5
44
3
7
12
20
Sysmiss
DOES COM MAINTAIN A REGISTER OF BIRTH AND DEATH?
DOES COM MAINTAIN A REGISTER OF BIRTH AND DEATH?
DOES COM MAINTAIN A REGISTER OF BIRTH AND DEATH?
DOES COM MAINTAIN A REGISTER OF BIRTH AND DEATH?
DOES COM MAINTAIN A REGISTER OF BIRTH AND DEATH?
49
1
2
4
HOW MANY PEOPLE DIED IN PAST 12 MONTHS A. CHILREN UNDER 15 Y
HOW MANY PEOPLE DIED IN PAST 12 MONTHS A. CHILREN UNDER 15 Y
HOW MANY PEOPLE DIED IN PAST 12 MONTHS A. CHILREN UNDER 15 Y
HOW MANY PEOPLE DIED IN PAST 12 MONTHS A. CHILREN UNDER 15 Y
HOW MANY PEOPLE DIED IN PAST 12 MONTHS A. CHILREN UNDER 15 Y
48
1
999
239.063
418.843
B. PEOPLE OVER 49 YEARS OLD
B. PEOPLE OVER 49 YEARS OLD
B. PEOPLE OVER 49 YEARS OLD
B. PEOPLE OVER 49 YEARS OLD
B. PEOPLE OVER 49 YEARS OLD
48
1
999
236.167
420.377
C. MEN AND WOMEN OF AGE 15-49 YEARS
C. MEN AND WOMEN OF AGE 15-49 YEARS
C. MEN AND WOMEN OF AGE 15-49 YEARS
C. MEN AND WOMEN OF AGE 15-49 YEARS
C. MEN AND WOMEN OF AGE 15-49 YEARS
48
1
2
999
236.583
420.138
ARE THERE PLACES IN COM TO BE TESTED FOR HIV/AIDS?
ARE THERE PLACES IN COM TO BE TESTED FOR HIV/AIDS?
ARE THERE PLACES IN COM TO BE TESTED FOR HIV/AIDS?
ARE THERE PLACES IN COM TO BE TESTED FOR HIV/AIDS?
ARE THERE PLACES IN COM TO BE TESTED FOR HIV/AIDS?
49
1
2
9
HOW FAR IN KM
HOW FAR IN KM
HOW FAR IN KM
HOW FAR IN KM
HOW FAR IN KM
47
2
1
100
24.489
24.409
IS THERE A.... IN THIS COM?
IS THERE A.... IN THIS COM?
IS THERE A.... IN THIS COM?
IS THERE A.... IN THIS COM?
IS THERE A.... IN THIS COM?
49
1
2
HOW FAR FROM HERE IS THE NEAREST...KM
HOW FAR FROM HERE IS THE NEAREST...KM
HOW FAR FROM HERE IS THE NEAREST...KM
HOW FAR FROM HERE IS THE NEAREST...KM
HOW FAR FROM HERE IS THE NEAREST...KM
33
16
99999
3034.697
17406.798
HOW LONG DOES IT TAKE TO GET THERE? HRS
HOW LONG DOES IT TAKE TO GET THERE? HRS
HOW LONG DOES IT TAKE TO GET THERE? HRS
HOW LONG DOES IT TAKE TO GET THERE? HRS
HOW LONG DOES IT TAKE TO GET THERE? HRS
29
20
99
4.345
18.225
HOW LONG IN MINUTES
HOW LONG IN MINUTES
HOW LONG IN MINUTES
HOW LONG IN MINUTES
HOW LONG IN MINUTES
32
17
99
14.656
21.907
IN WHAT YEAR DID THIS START OPERATING?
IN WHAT YEAR DID THIS START OPERATING?
IN WHAT YEAR DID THIS START OPERATING?
IN WHAT YEAR DID THIS START OPERATING?
IN WHAT YEAR DID THIS START OPERATING?
45
4
63
9999
3002.244
2789.967
WHAT IS THE HIGHEST LEVEL OF HEATH WORKER AT THIS FACILITY
WHAT IS THE HIGHEST LEVEL OF HEATH WORKER AT THIS FACILITY
WHAT IS THE HIGHEST LEVEL OF HEATH WORKER AT THIS FACILITY
WHAT IS THE HIGHEST LEVEL OF HEATH WORKER AT THIS FACILITY
WHAT IS THE HIGHEST LEVEL OF HEATH WORKER AT THIS FACILITY
45
4
1
2
3
9
Sysmiss
WHO OWN THIS HEALTH FACILITY?
WHO OWN THIS HEALTH FACILITY?
WHO OWN THIS HEALTH FACILITY?
WHO OWN THIS HEALTH FACILITY?
WHO OWN THIS HEALTH FACILITY?
42
7
1
2
4
Sysmiss
IS THERE A.... IN THIS COM?
IS THERE A.... IN THIS COM?
IS THERE A.... IN THIS COM?
IS THERE A.... IN THIS COM?
IS THERE A.... IN THIS COM?
49
1
2
HOW FAR FROM HERE IS THE NEAREST...KM
HOW FAR FROM HERE IS THE NEAREST...KM
HOW FAR FROM HERE IS THE NEAREST...KM
HOW FAR FROM HERE IS THE NEAREST...KM
HOW FAR FROM HERE IS THE NEAREST...KM
37
12
1
99999
5421.27
22920.262
HOW LONG DOES IT TAKE TO GET THERE? HRS
HOW LONG DOES IT TAKE TO GET THERE? HRS
HOW LONG DOES IT TAKE TO GET THERE? HRS
HOW LONG DOES IT TAKE TO GET THERE? HRS
HOW LONG DOES IT TAKE TO GET THERE? HRS
36
13
99
8
22.921
HOW LONG IN MINUTES
HOW LONG IN MINUTES
HOW LONG IN MINUTES
HOW LONG IN MINUTES
HOW LONG IN MINUTES
35
14
99
15.886
29.566
IN WHAT YEAR DID THIS START OPERATING?
IN WHAT YEAR DID THIS START OPERATING?
IN WHAT YEAR DID THIS START OPERATING?
IN WHAT YEAR DID THIS START OPERATING?
IN WHAT YEAR DID THIS START OPERATING?
40
9
1920
9999
3579.425
3250.72
WHAT IS THE HIGHEST LEVEL OF HEATH WORKER AT THIS FACILITY
WHAT IS THE HIGHEST LEVEL OF HEATH WORKER AT THIS FACILITY
WHAT IS THE HIGHEST LEVEL OF HEATH WORKER AT THIS FACILITY
WHAT IS THE HIGHEST LEVEL OF HEATH WORKER AT THIS FACILITY
WHAT IS THE HIGHEST LEVEL OF HEATH WORKER AT THIS FACILITY
40
9
1
2
3
9
Sysmiss
WHO OWN THIS HEALTH FACILITY?
WHO OWN THIS HEALTH FACILITY?
WHO OWN THIS HEALTH FACILITY?
WHO OWN THIS HEALTH FACILITY?
WHO OWN THIS HEALTH FACILITY?
38
11
1
2
3
Sysmiss
IS THERE A.... IN THIS COM?
IS THERE A.... IN THIS COM?
IS THERE A.... IN THIS COM?
IS THERE A.... IN THIS COM?
IS THERE A.... IN THIS COM?
49
1
2
HOW FAR FROM HERE IS THE NEAREST...KM
HOW FAR FROM HERE IS THE NEAREST...KM
HOW FAR FROM HERE IS THE NEAREST...KM
HOW FAR FROM HERE IS THE NEAREST...KM
HOW FAR FROM HERE IS THE NEAREST...KM
42
7
99999
7165.738
26059.427
HOW LONG DOES IT TAKE TO GET THERE? HRS
HOW LONG DOES IT TAKE TO GET THERE? HRS
HOW LONG DOES IT TAKE TO GET THERE? HRS
HOW LONG DOES IT TAKE TO GET THERE? HRS
HOW LONG DOES IT TAKE TO GET THERE? HRS
39
10
99
6.718
21.767
HOW LONG IN MINUTES
HOW LONG IN MINUTES
HOW LONG IN MINUTES
HOW LONG IN MINUTES
HOW LONG IN MINUTES
40
9
99
16.775
30.286
IN WHAT YEAR DID THIS START OPERATING?
IN WHAT YEAR DID THIS START OPERATING?
IN WHAT YEAR DID THIS START OPERATING?
IN WHAT YEAR DID THIS START OPERATING?
IN WHAT YEAR DID THIS START OPERATING?
41
8
1900
9999
4495.902
3796.344
WHAT IS THE HIGHEST LEVEL OF HEATH WORKER AT THIS FACILITY
WHAT IS THE HIGHEST LEVEL OF HEATH WORKER AT THIS FACILITY
WHAT IS THE HIGHEST LEVEL OF HEATH WORKER AT THIS FACILITY
WHAT IS THE HIGHEST LEVEL OF HEATH WORKER AT THIS FACILITY
WHAT IS THE HIGHEST LEVEL OF HEATH WORKER AT THIS FACILITY
41
8
1
2
9
Sysmiss
WHO OWN THIS HEALTH FACILITY?
WHO OWN THIS HEALTH FACILITY?
WHO OWN THIS HEALTH FACILITY?
WHO OWN THIS HEALTH FACILITY?
WHO OWN THIS HEALTH FACILITY?
38
11
1
2
4
5
9
Sysmiss
IS THERE A.... IN THIS COM?
IS THERE A.... IN THIS COM?
IS THERE A.... IN THIS COM?
IS THERE A.... IN THIS COM?
IS THERE A.... IN THIS COM?
48
1
1
2
Sysmiss
HOW FAR FROM HERE IS THE NEAREST...KM
HOW FAR FROM HERE IS THE NEAREST...KM
HOW FAR FROM HERE IS THE NEAREST...KM
HOW FAR FROM HERE IS THE NEAREST...KM
HOW FAR FROM HERE IS THE NEAREST...KM
24
25
99999
12500.083
33782.778
HOW LONG DOES IT TAKE TO GET THERE? HRS
HOW LONG DOES IT TAKE TO GET THERE? HRS
HOW LONG DOES IT TAKE TO GET THERE? HRS
HOW LONG DOES IT TAKE TO GET THERE? HRS
HOW LONG DOES IT TAKE TO GET THERE? HRS
22
27
99
9
29.13
HOW LONG IN MINUTES
HOW LONG IN MINUTES
HOW LONG IN MINUTES
HOW LONG IN MINUTES
HOW LONG IN MINUTES
22
27
99
13.318
29.94
IN WHAT YEAR DID THIS START OPERATING?
IN WHAT YEAR DID THIS START OPERATING?
IN WHAT YEAR DID THIS START OPERATING?
IN WHAT YEAR DID THIS START OPERATING?
IN WHAT YEAR DID THIS START OPERATING?
42
7
85
9999
2695.262
2417.825
IS THERE A.... IN THIS COM?
IS THERE A.... IN THIS COM?
IS THERE A.... IN THIS COM?
IS THERE A.... IN THIS COM?
IS THERE A.... IN THIS COM?
26
23
1
2
9
Sysmiss
OTHER HEALTH SERVICES
OTHER HEALTH SERVICES
OTHER HEALTH SERVICES
OTHER HEALTH SERVICES
OTHER HEALTH SERVICES
24
CLINIC
CLINIC MCH
CLINICAL
CLINICAL SERVICES
COUNSEL
M.CLINIC
NO OTHER
OUTREACH SERVICE
PHAMACY
TBA
HOW FAR FROM HERE IS THE NEAREST...KM
HOW FAR FROM HERE IS THE NEAREST...KM
HOW FAR FROM HERE IS THE NEAREST...KM
HOW FAR FROM HERE IS THE NEAREST...KM
HOW FAR FROM HERE IS THE NEAREST...KM
2
47
3
4
Sysmiss
HOW LONG DOES IT TAKE TO GET THERE? HRS
HOW LONG DOES IT TAKE TO GET THERE? HRS
HOW LONG DOES IT TAKE TO GET THERE? HRS
HOW LONG DOES IT TAKE TO GET THERE? HRS
HOW LONG DOES IT TAKE TO GET THERE? HRS
7
42
99
14.143
37.418
HOW LONG IN MINUTES
HOW LONG IN MINUTES
HOW LONG IN MINUTES
HOW LONG IN MINUTES
HOW LONG IN MINUTES
7
42
45
12.857
18.225
IN WHAT YEAR DID THIS START OPERATING?
IN WHAT YEAR DID THIS START OPERATING?
IN WHAT YEAR DID THIS START OPERATING?
IN WHAT YEAR DID THIS START OPERATING?
IN WHAT YEAR DID THIS START OPERATING?
16
33
1979
9999
2492.938
2001.627
WHAT IS THE HIGHEST LEVEL OF HEATH WORKER AT THIS FACILITY
WHAT IS THE HIGHEST LEVEL OF HEATH WORKER AT THIS FACILITY
WHAT IS THE HIGHEST LEVEL OF HEATH WORKER AT THIS FACILITY
WHAT IS THE HIGHEST LEVEL OF HEATH WORKER AT THIS FACILITY
WHAT IS THE HIGHEST LEVEL OF HEATH WORKER AT THIS FACILITY
13
36
2
3
Sysmiss
WHO OWN THIS HEALTH FACILITY?
WHO OWN THIS HEALTH FACILITY?
WHO OWN THIS HEALTH FACILITY?
WHO OWN THIS HEALTH FACILITY?
WHO OWN THIS HEALTH FACILITY?
13
36
1
2
4
Sysmiss
WHAT ARE THE MOST HEALTH PROBLEMS IN COM?
WHAT ARE THE MOST HEALTH PROBLEMS IN COM?
WHAT ARE THE MOST HEALTH PROBLEMS IN COM?
WHAT ARE THE MOST HEALTH PROBLEMS IN COM?
WHAT ARE THE MOST HEALTH PROBLEMS IN COM?
49
1
5
10
21
WHAT ARE THE MOST HEALTH PROBLEMS IN COM?
WHAT ARE THE MOST HEALTH PROBLEMS IN COM?
WHAT ARE THE MOST HEALTH PROBLEMS IN COM?
WHAT ARE THE MOST HEALTH PROBLEMS IN COM?
WHAT ARE THE MOST HEALTH PROBLEMS IN COM?
49
1
25
6.367
7.629
WHAT ARE THE MOST HEALTH PROBLEMS IN COM?
WHAT ARE THE MOST HEALTH PROBLEMS IN COM?
WHAT ARE THE MOST HEALTH PROBLEMS IN COM?
WHAT ARE THE MOST HEALTH PROBLEMS IN COM?
WHAT ARE THE MOST HEALTH PROBLEMS IN COM?
47
2
1
25
14.043
8.837
WHAT ARE THE MOST HEALTH PROBLEMS IN COM?
WHAT ARE THE MOST HEALTH PROBLEMS IN COM?
WHAT ARE THE MOST HEALTH PROBLEMS IN COM?
WHAT ARE THE MOST HEALTH PROBLEMS IN COM?
WHAT ARE THE MOST HEALTH PROBLEMS IN COM?
37
12
1
25
11.649
8.466
MOST IMPORTANT HEALTH PROBLEMS IN COMMUNITY?
MOST IMPORTANT HEALTH PROBLEMS IN COMMUNITY?
MOST IMPORTANT HEALTH PROBLEMS IN COMMUNITY?
MOST IMPORTANT HEALTH PROBLEMS IN COMMUNITY?
MOST IMPORTANT HEALTH PROBLEMS IN COMMUNITY?
21
28
1
25
14.143
8.867
DOES ANYONE IN THIS COMMUNITY ENGAGE IN FARMING?
DOES ANYONE IN THIS COMMUNITY ENGAGE IN FARMING?
DOES ANYONE IN THIS COMMUNITY ENGAGE IN FARMING?
DOES ANYONE IN THIS COMMUNITY ENGAGE IN FARMING?
DOES ANYONE IN THIS COMMUNITY ENGAGE IN FARMING?
49
1
YES
2
NO
9
DK
IS THERE AN AGRICULTURAL EXTENSION CENTRE IN COM?
IS THERE AN AGRICULTURAL EXTENSION CENTRE IN COM?
IS THERE AN AGRICULTURAL EXTENSION CENTRE IN COM?
IS THERE AN AGRICULTURAL EXTENSION CENTRE IN COM?
IS THERE AN AGRICULTURAL EXTENSION CENTRE IN COM?
49
1
YES
2
NO
9
DK
HOW FAR IS AN AGRICULTURAL EXTENSION CENTER? KM
HOW FAR IS AN AGRICULTURAL EXTENSION CENTER? KM
HOW FAR IS AN AGRICULTURAL EXTENSION CENTER? KM
HOW FAR IS AN AGRICULTURAL EXTENSION CENTER? KM
HOW FAR IS AN AGRICULTURAL EXTENSION CENTER? KM
41
8
999
33.744
154.751
DOES AN AGRICULTURAL EXTENSION AGENT VISIT THE FARMERS
DOES AN AGRICULTURAL EXTENSION AGENT VISIT THE FARMERS
DOES AN AGRICULTURAL EXTENSION AGENT VISIT THE FARMERS
DOES AN AGRICULTURAL EXTENSION AGENT VISIT THE FARMERS
DOES AN AGRICULTURAL EXTENSION AGENT VISIT THE FARMERS
41
8
1
YES
2
NO
9
DK
Sysmiss
IN WHICH YEAR DID AGRIC EXTEN AGENTS FIRST START VISITING?
IN WHICH YEAR DID AGRIC EXTEN AGENTS FIRST START VISITING?
IN WHICH YEAR DID AGRIC EXTEN AGENTS FIRST START VISITING?
IN WHICH YEAR DID AGRIC EXTEN AGENTS FIRST START VISITING?
IN WHICH YEAR DID AGRIC EXTEN AGENTS FIRST START VISITING?
25
24
1955
9999
2314.8
1600.916
ARE THE AGENCY(IES) FROM MINISTRY OF AGRIC?
ARE THE AGENCY(IES) FROM MINISTRY OF AGRIC?
ARE THE AGENCY(IES) FROM MINISTRY OF AGRIC?
ARE THE AGENCY(IES) FROM MINISTRY OF AGRIC?
ARE THE AGENCY(IES) FROM MINISTRY OF AGRIC?
33
16
1
YES
2
NO
9
DK
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
25
24
1
YES
2
NO
9
DK
Sysmiss
ARE THE AGENCY FROM OTHER SPECIFY
ARE THE AGENCY FROM OTHER SPECIFY
ARE THE AGENCY FROM OTHER SPECIFY
ARE THE AGENCY FROM OTHER SPECIFY
ARE THE AGENCY FROM OTHER SPECIFY
11
DK
KAEMP
KALDEP
MALI
MAYAWA
PARTAGE
REDESO
WHAT SERVICES DO THEY PROVIDE? ADVICE ONLY
WHAT SERVICES DO THEY PROVIDE? ADVICE ONLY
WHAT SERVICES DO THEY PROVIDE? ADVICE ONLY
WHAT SERVICES DO THEY PROVIDE? ADVICE ONLY
WHAT SERVICES DO THEY PROVIDE? ADVICE ONLY
33
16
1
YES
2
NO
9
DK
Sysmiss
SUPPORT DEMONSTRATION PLOT
SUPPORT DEMONSTRATION PLOT
SUPPORT DEMONSTRATION PLOT
SUPPORT DEMONSTRATION PLOT
SUPPORT DEMONSTRATION PLOT
33
16
1
YES
2
NO
9
DK
Sysmiss
PROVIDE SEED
PROVIDE SEED
PROVIDE SEED
PROVIDE SEED
PROVIDE SEED
33
16
1
YES
2
NO
9
DK
Sysmiss
PROVIDE CATTLE & OTHER LIVESTOCK SERVICES
PROVIDE CATTLE & OTHER LIVESTOCK SERVICES
PROVIDE CATTLE & OTHER LIVESTOCK SERVICES
PROVIDE CATTLE & OTHER LIVESTOCK SERVICES
PROVIDE CATTLE & OTHER LIVESTOCK SERVICES
33
16
1
YES
2
NO
9
DK
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
33
16
1
YES
2
NO
9
DK
Sysmiss
OTHER SPECIFY
OTHER SPECIFY
OTHER SPECIFY
OTHER SPECIFY
OTHER SPECIFY
1
VANILLA
IS THERE A PRIMARY COOPERATIVE SOCIETY IN COM?
IS THERE A PRIMARY COOPERATIVE SOCIETY IN COM?
IS THERE A PRIMARY COOPERATIVE SOCIETY IN COM?
IS THERE A PRIMARY COOPERATIVE SOCIETY IN COM?
IS THERE A PRIMARY COOPERATIVE SOCIETY IN COM?
49
1
YES
2
NO
9
DK
WHAT SERVICES DOES IT PROVIDE
WHAT SERVICES DOES IT PROVIDE
WHAT SERVICES DOES IT PROVIDE
WHAT SERVICES DOES IT PROVIDE
WHAT SERVICES DOES IT PROVIDE
28
BUYING AND SELLING COFFEE
BUYING COFFEE
BUYING COFFEE FROM FARMERS
BUYING CROPS
BUYING OF COFFEE
CENTRE FOR COLLECTION OF COFFE
COFFEE BUYING
CROP MARKETING
PURCHASE OF COFFEE
SELLING TOBACCO/COTTON
SERVICE 2
SERVICE 2
SERVICE 2
SERVICE 2
SERVICE 2
8
AGRICULTURAL ADVICE
BUYING COFFEE
DEHUSKING OF COFFEE
DISRIBUTION OF MONEY
DISTRIBUTION OF MONEY
PROVIDE PACKING BAGS
SAVING AND CREDITS
SERVICE 3
SERVICE 3
SERVICE 3
SERVICE 3
SERVICE 3
3
BORROWING SACS FOR COFFEE
DISTRIBUTION OF MONEY
DISTRIBUTION OF SEEDS
SERVICE 4
SERVICE 4
SERVICE 4
SERVICE 4
SERVICE 4
DO FARMERS HAVE ACCESS TO TRACTORS?
DO FARMERS HAVE ACCESS TO TRACTORS?
DO FARMERS HAVE ACCESS TO TRACTORS?
DO FARMERS HAVE ACCESS TO TRACTORS?
DO FARMERS HAVE ACCESS TO TRACTORS?
49
1
YES
2
NO
9
DK
DO FARMERS USE CHEMICAL FERTILIZER?
DO FARMERS USE CHEMICAL FERTILIZER?
DO FARMERS USE CHEMICAL FERTILIZER?
DO FARMERS USE CHEMICAL FERTILIZER?
DO FARMERS USE CHEMICAL FERTILIZER?
49
1
YES
2
NO
9
DK
DO FARMERS USE INSECTICIDES OR HERBICIDES?
DO FARMERS USE INSECTICIDES OR HERBICIDES?
DO FARMERS USE INSECTICIDES OR HERBICIDES?
DO FARMERS USE INSECTICIDES OR HERBICIDES?
DO FARMERS USE INSECTICIDES OR HERBICIDES?
49
1
YES
2
NO
9
DK
ARE THERE ANY IRRIGATED FIELDS IN COM?
ARE THERE ANY IRRIGATED FIELDS IN COM?
ARE THERE ANY IRRIGATED FIELDS IN COM?
ARE THERE ANY IRRIGATED FIELDS IN COM?
ARE THERE ANY IRRIGATED FIELDS IN COM?
49
1
YES
2
NO
9
DK
HAVE YOU RECEIVE NORMAL RAIN PATTERNS DURING PAST 12 MONTHS?
HAVE YOU RECEIVE NORMAL RAIN PATTERNS DURING PAST 12 MONTHS?
HAVE YOU RECEIVE NORMAL RAIN PATTERNS DURING PAST 12 MONTHS?
HAVE YOU RECEIVE NORMAL RAIN PATTERNS DURING PAST 12 MONTHS?
HAVE YOU RECEIVE NORMAL RAIN PATTERNS DURING PAST 12 MONTHS?
49
1
YES
2
NO
9
DK
OTHERS
OTHERS
OTHERS
OTHERS
OTHERS
3
THE PATTERN OF THE RAIN WAS NOT GOOD SOMETIMES THERE WAS NO RAIN WHEN IT WAS NEE
THE RAIN DIDNT RAIN WHEN WANTED SO CAUSING THE MAIZE TO DRY
THE RAIN DOESN`T RAIN AS PLANED.WHEN NEEDED IT DOESN`T AND THIS IS WHEN THE HAVE
DO PEOPLE BUY AND SELL LAND
DO PEOPLE BUY AND SELL LAND
DO PEOPLE BUY AND SELL LAND
DO PEOPLE BUY AND SELL LAND
DO PEOPLE BUY AND SELL LAND
49
1
YES
2
NO
9
DK
WHAT WOULD BE THE PRICE OF AN ACRE OF LAND WITHOUT CROPS? TS
WHAT WOULD BE THE PRICE OF AN ACRE OF LAND WITHOUT CROPS? TS
WHAT WOULD BE THE PRICE OF AN ACRE OF LAND WITHOUT CROPS? TS
WHAT WOULD BE THE PRICE OF AN ACRE OF LAND WITHOUT CROPS? TS
WHAT WOULD BE THE PRICE OF AN ACRE OF LAND WITHOUT CROPS? TS
33
16
10000
999999999
91039848.394
291895148.591
PLANTED WITH BANAS
PLANTED WITH BANAS
PLANTED WITH BANAS
PLANTED WITH BANAS
PLANTED WITH BANAS
33
16
20000
999999999
121965454.424
331154304.988
PLANTED WITH COFFE
PLANTED WITH COFFE
PLANTED WITH COFFE
PLANTED WITH COFFE
PLANTED WITH COFFE
33
16
20000
999999999
182235454.364
391475215.475
PLANTED WITH COTTON
PLANTED WITH COTTON
PLANTED WITH COTTON
PLANTED WITH COTTON
PLANTED WITH COTTON
33
16
999999999
909154544.545
291732883.836
PLANTED WITH TEA
PLANTED WITH TEA
PLANTED WITH TEA
PLANTED WITH TEA
PLANTED WITH TEA
33
16
999999999
909118180.909
291849530.133
PLANTED WITH BANANA AND COFFEE
PLANTED WITH BANANA AND COFFEE
PLANTED WITH BANANA AND COFFEE
PLANTED WITH BANANA AND COFFEE
PLANTED WITH BANANA AND COFFEE
33
16
150000
999999999
93422727.182
291258289.851
LAND FOR SEASONAL CROPS
LAND FOR SEASONAL CROPS
LAND FOR SEASONAL CROPS
LAND FOR SEASONAL CROPS
LAND FOR SEASONAL CROPS
33
16
10000
999999999
91076969.606
291883250.025
DO CHILDREN (10-14 YEARS OLD) WORK FOR FOOD OR CASH
DO CHILDREN (10-14 YEARS OLD) WORK FOR FOOD OR CASH
DO CHILDREN (10-14 YEARS OLD) WORK FOR FOOD OR CASH
DO CHILDREN (10-14 YEARS OLD) WORK FOR FOOD OR CASH
DO CHILDREN (10-14 YEARS OLD) WORK FOR FOOD OR CASH
49
1
YES OFTEN
2
YES RARELY
3
NO
HOW MUCH WOULD A CHILD BE PAID FOR WORK IN TSHS
HOW MUCH WOULD A CHILD BE PAID FOR WORK IN TSHS
HOW MUCH WOULD A CHILD BE PAID FOR WORK IN TSHS
HOW MUCH WOULD A CHILD BE PAID FOR WORK IN TSHS
HOW MUCH WOULD A CHILD BE PAID FOR WORK IN TSHS
15
34
30
9999999
667101.933
2581868.307
NUMBER OF HOURS OF WORK
NUMBER OF HOURS OF WORK
NUMBER OF HOURS OF WORK
NUMBER OF HOURS OF WORK
NUMBER OF HOURS OF WORK
15
34
3
99
11.667
24.23
WHAT ARE THE MAJOR CROP(S) GROWN BY PEOPLE OF THIS COM
WHAT ARE THE MAJOR CROP(S) GROWN BY PEOPLE OF THIS COM
WHAT ARE THE MAJOR CROP(S) GROWN BY PEOPLE OF THIS COM
WHAT ARE THE MAJOR CROP(S) GROWN BY PEOPLE OF THIS COM
WHAT ARE THE MAJOR CROP(S) GROWN BY PEOPLE OF THIS COM
48
BANANA
BANANAS
BEANS
CASSAVA
COFFEE
COOKING BANANA
MAIZE
SORGHUM
SWEET POTATOES
CROP CODE
CROP CODE
CROP CODE
CROP CODE
CROP CODE
49
1
99
13.449
15.324
HOW MANY TIMES PER YEAR IS ..PLANTED
HOW MANY TIMES PER YEAR IS ..PLANTED
HOW MANY TIMES PER YEAR IS ..PLANTED
HOW MANY TIMES PER YEAR IS ..PLANTED
HOW MANY TIMES PER YEAR IS ..PLANTED
49
1
2
3
4
IS THERE MAINLY A FOOD CROP, A CASH CROP OR BOTH
IS THERE MAINLY A FOOD CROP, A CASH CROP OR BOTH
IS THERE MAINLY A FOOD CROP, A CASH CROP OR BOTH
IS THERE MAINLY A FOOD CROP, A CASH CROP OR BOTH
IS THERE MAINLY A FOOD CROP, A CASH CROP OR BOTH
48
1
1
2
3
Sysmiss
DURING WHICH MONTH IS IT PLANTED #1
DURING WHICH MONTH IS IT PLANTED #1
DURING WHICH MONTH IS IT PLANTED #1
DURING WHICH MONTH IS IT PLANTED #1
DURING WHICH MONTH IS IT PLANTED #1
30
19
1
99
10.9
16.939
HARVEST #1
HARVEST #1
HARVEST #1
HARVEST #1
HARVEST #1
48
1
1
99
8.167
13.673
PLANT #2
PLANT #2
PLANT #2
PLANT #2
PLANT #2
23
26
1
99
7.565
20.106
HARVEST #2
HARVEST #2
HARVEST #2
HARVEST #2
HARVEST #2
26
23
1
99
9.692
18.462
WHAT ARE THE MAJOR CROP(S) GROWN BY PEOPLE OF THIS COM
WHAT ARE THE MAJOR CROP(S) GROWN BY PEOPLE OF THIS COM
WHAT ARE THE MAJOR CROP(S) GROWN BY PEOPLE OF THIS COM
WHAT ARE THE MAJOR CROP(S) GROWN BY PEOPLE OF THIS COM
WHAT ARE THE MAJOR CROP(S) GROWN BY PEOPLE OF THIS COM
48
BANANA
BANANA IN ANY FORM
BEANS
CASSAVA
COFFEE
COOKING BANANA
MAIZE
SORGHUM
SWEET POTATOES
SWEETPOTATOES
CROP CODE
CROP CODE
CROP CODE
CROP CODE
CROP CODE
49
1
99
12.265
15.399
HOW MANY TIMES PER YEAR IS ..PLANTED
HOW MANY TIMES PER YEAR IS ..PLANTED
HOW MANY TIMES PER YEAR IS ..PLANTED
HOW MANY TIMES PER YEAR IS ..PLANTED
HOW MANY TIMES PER YEAR IS ..PLANTED
49
1
2
3
4
IS THERE MAINLY A FOOD CROP, A CASH CROP OR BOTH
IS THERE MAINLY A FOOD CROP, A CASH CROP OR BOTH
IS THERE MAINLY A FOOD CROP, A CASH CROP OR BOTH
IS THERE MAINLY A FOOD CROP, A CASH CROP OR BOTH
IS THERE MAINLY A FOOD CROP, A CASH CROP OR BOTH
49
1
2
3
DURING WHICH MONTH IS IT PLANTED #1
DURING WHICH MONTH IS IT PLANTED #1
DURING WHICH MONTH IS IT PLANTED #1
DURING WHICH MONTH IS IT PLANTED #1
DURING WHICH MONTH IS IT PLANTED #1
34
15
1
99
10.324
16.011
HARVEST #1
HARVEST #1
HARVEST #1
HARVEST #1
HARVEST #1
47
2
1
99
7.787
13.841
PLANT #2
PLANT #2
PLANT #2
PLANT #2
PLANT #2
17
32
1
99
11.529
22.861
HARVEST #2
HARVEST #2
HARVEST #2
HARVEST #2
HARVEST #2
19
30
1
99
11.632
21.528
WHAT ARE THE MAJOR CROP(S) GROWN BY PEOPLE OF THIS COM
WHAT ARE THE MAJOR CROP(S) GROWN BY PEOPLE OF THIS COM
WHAT ARE THE MAJOR CROP(S) GROWN BY PEOPLE OF THIS COM
WHAT ARE THE MAJOR CROP(S) GROWN BY PEOPLE OF THIS COM
WHAT ARE THE MAJOR CROP(S) GROWN BY PEOPLE OF THIS COM
48
BANANA
BANANAS
BEANS
CASSAVA
COFFEE
COOKING BANANA
GROUNDNUTS
MAIZE
RICE
SWEET POTATOES
SWEETPOTATOES
YAMS
CROP CODE
CROP CODE
CROP CODE
CROP CODE
CROP CODE
49
1
99
18.469
14.245
HOW MANY TIMES PER YEAR IS ..PLANTED
HOW MANY TIMES PER YEAR IS ..PLANTED
HOW MANY TIMES PER YEAR IS ..PLANTED
HOW MANY TIMES PER YEAR IS ..PLANTED
HOW MANY TIMES PER YEAR IS ..PLANTED
49
1
2
3
4
IS THERE MAINLY A FOOD CROP, A CASH CROP OR BOTH
IS THERE MAINLY A FOOD CROP, A CASH CROP OR BOTH
IS THERE MAINLY A FOOD CROP, A CASH CROP OR BOTH
IS THERE MAINLY A FOOD CROP, A CASH CROP OR BOTH
IS THERE MAINLY A FOOD CROP, A CASH CROP OR BOTH
49
1
2
3
DURING WHICH MONTH IS IT PLANTED #1
DURING WHICH MONTH IS IT PLANTED #1
DURING WHICH MONTH IS IT PLANTED #1
DURING WHICH MONTH IS IT PLANTED #1
DURING WHICH MONTH IS IT PLANTED #1
39
10
1
99
11.974
20.774
HARVEST #1
HARVEST #1
HARVEST #1
HARVEST #1
HARVEST #1
46
3
1
99
8.565
14.138
PLANT #2
PLANT #2
PLANT #2
PLANT #2
PLANT #2
17
32
1
99
11.059
22.832
HARVEST #2
HARVEST #2
HARVEST #2
HARVEST #2
HARVEST #2
16
33
2
99
13.938
22.913
WHAT ARE THE MAJOR CROP(S) GROWN BY PEOPLE OF THIS COM
WHAT ARE THE MAJOR CROP(S) GROWN BY PEOPLE OF THIS COM
WHAT ARE THE MAJOR CROP(S) GROWN BY PEOPLE OF THIS COM
WHAT ARE THE MAJOR CROP(S) GROWN BY PEOPLE OF THIS COM
WHAT ARE THE MAJOR CROP(S) GROWN BY PEOPLE OF THIS COM
48
BANANA
BEANS
CASSAVA
COFFEE
COOKING BANANAS
GROUNDNUTS
MAIZE
OTHER PULSES
SWEET BANANA
SWEET POTATOES
TOBACCO
YAMS
CROP CODE
CROP CODE
CROP CODE
CROP CODE
CROP CODE
49
1
99
18.327
14.941
HOW MANY TIMES PER YEAR IS ..PLANTED
HOW MANY TIMES PER YEAR IS ..PLANTED
HOW MANY TIMES PER YEAR IS ..PLANTED
HOW MANY TIMES PER YEAR IS ..PLANTED
HOW MANY TIMES PER YEAR IS ..PLANTED
49
1
2
3
4
IS THERE MAINLY A FOOD CROP, A CASH CROP OR BOTH
IS THERE MAINLY A FOOD CROP, A CASH CROP OR BOTH
IS THERE MAINLY A FOOD CROP, A CASH CROP OR BOTH
IS THERE MAINLY A FOOD CROP, A CASH CROP OR BOTH
IS THERE MAINLY A FOOD CROP, A CASH CROP OR BOTH
49
1
2
3
DURING WHICH MONTH IS IT PLANTED #1
DURING WHICH MONTH IS IT PLANTED #1
DURING WHICH MONTH IS IT PLANTED #1
DURING WHICH MONTH IS IT PLANTED #1
DURING WHICH MONTH IS IT PLANTED #1
42
7
1
99
10.31
14.313
HARVEST #1
HARVEST #1
HARVEST #1
HARVEST #1
HARVEST #1
45
4
1
99
7.444
14.481
PLANT #2
PLANT #2
PLANT #2
PLANT #2
PLANT #2
20
29
2
99
10.85
21.027
HARVEST #2
HARVEST #2
HARVEST #2
HARVEST #2
HARVEST #2
18
31
1
99
10.611
22.295
WHAT ARE THE MAJOR CROP(S) GROWN BY PEOPLE OF THIS COM
WHAT ARE THE MAJOR CROP(S) GROWN BY PEOPLE OF THIS COM
WHAT ARE THE MAJOR CROP(S) GROWN BY PEOPLE OF THIS COM
WHAT ARE THE MAJOR CROP(S) GROWN BY PEOPLE OF THIS COM
WHAT ARE THE MAJOR CROP(S) GROWN BY PEOPLE OF THIS COM
47
BAMBARANUTS
BANANAS
BEANS
CASSAVA
COCO YAMS
COCOYAMS
COTTON
FINGER MILLET
GROUNDNUTS
MAIZE
MAMBARA
PASSION FRUITS
PEAS
SORGHUM
SWEET POTATOES
SWEETPOTATOES
TOMATOES
YAMS
CROP CODE
CROP CODE
CROP CODE
CROP CODE
CROP CODE
48
1
5
99
22.438
16.132
HOW MANY TIMES PER YEAR IS ..PLANTED
HOW MANY TIMES PER YEAR IS ..PLANTED
HOW MANY TIMES PER YEAR IS ..PLANTED
HOW MANY TIMES PER YEAR IS ..PLANTED
HOW MANY TIMES PER YEAR IS ..PLANTED
48
1
1
2
3
4
Sysmiss
IS THERE MAINLY A FOOD CROP, A CASH CROP OR BOTH
IS THERE MAINLY A FOOD CROP, A CASH CROP OR BOTH
IS THERE MAINLY A FOOD CROP, A CASH CROP OR BOTH
IS THERE MAINLY A FOOD CROP, A CASH CROP OR BOTH
IS THERE MAINLY A FOOD CROP, A CASH CROP OR BOTH
48
1
1
2
3
Sysmiss
DURING WHICH MONTH IS IT PLANTED #1
DURING WHICH MONTH IS IT PLANTED #1
DURING WHICH MONTH IS IT PLANTED #1
DURING WHICH MONTH IS IT PLANTED #1
DURING WHICH MONTH IS IT PLANTED #1
45
4
1
99
11.511
19.353
HARVEST #1
HARVEST #1
HARVEST #1
HARVEST #1
HARVEST #1
45
4
1
99
8.133
14.431
PLANT #2
PLANT #2
PLANT #2
PLANT #2
PLANT #2
23
26
1
99
8.652
19.913
HARVEST #2
HARVEST #2
HARVEST #2
HARVEST #2
HARVEST #2
23
26
1
99
9.609
19.718
WHAT ARE THE MAJOR CROP(S) GROWN BY PEOPLE OF THIS COM
WHAT ARE THE MAJOR CROP(S) GROWN BY PEOPLE OF THIS COM
WHAT ARE THE MAJOR CROP(S) GROWN BY PEOPLE OF THIS COM
WHAT ARE THE MAJOR CROP(S) GROWN BY PEOPLE OF THIS COM
WHAT ARE THE MAJOR CROP(S) GROWN BY PEOPLE OF THIS COM
41
BEANS
CASSAVA
COFFEE
GREEN VEGETABLE
GROUNDNUTS
MAIZE
MAMBARANUTS
NUTS
PEAS
SORGHUM
SWEET POTATOES
SWEETPOTATOES
TOBACCO
TOMATOES
VANILLA
YAMS
CROP CODE
CROP CODE
CROP CODE
CROP CODE
CROP CODE
42
7
1
81
22.929
18.061
HOW MANY TIMES PER YEAR IS ..PLANTED
HOW MANY TIMES PER YEAR IS ..PLANTED
HOW MANY TIMES PER YEAR IS ..PLANTED
HOW MANY TIMES PER YEAR IS ..PLANTED
HOW MANY TIMES PER YEAR IS ..PLANTED
42
7
1
2
3
4
Sysmiss
IS THERE MAINLY A FOOD CROP, A CASH CROP OR BOTH
IS THERE MAINLY A FOOD CROP, A CASH CROP OR BOTH
IS THERE MAINLY A FOOD CROP, A CASH CROP OR BOTH
IS THERE MAINLY A FOOD CROP, A CASH CROP OR BOTH
IS THERE MAINLY A FOOD CROP, A CASH CROP OR BOTH
42
7
1
2
3
Sysmiss
DURING WHICH MONTH IS IT PLANTED #1
DURING WHICH MONTH IS IT PLANTED #1
DURING WHICH MONTH IS IT PLANTED #1
DURING WHICH MONTH IS IT PLANTED #1
DURING WHICH MONTH IS IT PLANTED #1
38
11
1
99
12
21.06
HARVEST #1
HARVEST #1
HARVEST #1
HARVEST #1
HARVEST #1
38
11
1
99
7.342
15.706
PLANT #2
PLANT #2
PLANT #2
PLANT #2
PLANT #2
19
30
3
99
10.842
21.546
HARVEST #2
HARVEST #2
HARVEST #2
HARVEST #2
HARVEST #2
19
30
1
99
11.632
21.492
CROP
CROP
CROP
CROP
CROP
17
BANANA
BANANAS
BEANS
COFFEE
MAIZE
CROP CODE
CROP CODE
CROP CODE
CROP CODE
CROP CODE
17
32
1
99
20.471
21.818
WAS THIS SHOCK
WAS THIS SHOCK
WAS THIS SHOCK
WAS THIS SHOCK
WAS THIS SHOCK
16
33
1
2
Sysmiss
DESCRIBE THE PROBLEM WITH RAIN PATTERN START LATE
DESCRIBE THE PROBLEM WITH RAIN PATTERN START LATE
DESCRIBE THE PROBLEM WITH RAIN PATTERN START LATE
DESCRIBE THE PROBLEM WITH RAIN PATTERN START LATE
DESCRIBE THE PROBLEM WITH RAIN PATTERN START LATE
8
X
START EARLY
START EARLY
START EARLY
START EARLY
START EARLY
2
X
TOO LITTLE
TOO LITTLE
TOO LITTLE
TOO LITTLE
TOO LITTLE
12
X
TOO MUCH
TOO MUCH
TOO MUCH
TOO MUCH
TOO MUCH
2
X
TOO HEAVY/STORMY
TOO HEAVY/STORMY
TOO HEAVY/STORMY
TOO HEAVY/STORMY
TOO HEAVY/STORMY
3
X
ERRATIC
ERRATIC
ERRATIC
ERRATIC
ERRATIC
4
X
CROP
CROP
CROP
CROP
CROP
16
BANANA
BANANAS
BEANS
COFFEE
GROUNDNUTS
MAIZE
PUDDY
SWEET POTATOES
TOMATOES
CROP CODE
CROP CODE
CROP CODE
CROP CODE
CROP CODE
16
33
1
99
31.5
27.667
WAS THIS SHOCK
WAS THIS SHOCK
WAS THIS SHOCK
WAS THIS SHOCK
WAS THIS SHOCK
15
34
1
2
Sysmiss
DESCRIBE THE PROBLEM WITH RAIN PATTERN START LATE
DESCRIBE THE PROBLEM WITH RAIN PATTERN START LATE
DESCRIBE THE PROBLEM WITH RAIN PATTERN START LATE
DESCRIBE THE PROBLEM WITH RAIN PATTERN START LATE
DESCRIBE THE PROBLEM WITH RAIN PATTERN START LATE
8
X
START EARLY
START EARLY
START EARLY
START EARLY
START EARLY
2
X
TOO LITTLE
TOO LITTLE
TOO LITTLE
TOO LITTLE
TOO LITTLE
11
X
TOO MUCH
TOO MUCH
TOO MUCH
TOO MUCH
TOO MUCH
4
X
TOO HEAVY/STORMY
TOO HEAVY/STORMY
TOO HEAVY/STORMY
TOO HEAVY/STORMY
TOO HEAVY/STORMY
2
X
ERRATIC
ERRATIC
ERRATIC
ERRATIC
ERRATIC
2
X
CROP
CROP
CROP
CROP
CROP
10
BAMBARANUTS
BANANA
BEANS
CASSAVA
MAIZE
SWEETPOTATOES
TOBACCO
YAMS
CROP CODE
CROP CODE
CROP CODE
CROP CODE
CROP CODE
10
39
3
99
25.2
27.28
WAS THIS SHOCK
WAS THIS SHOCK
WAS THIS SHOCK
WAS THIS SHOCK
WAS THIS SHOCK
10
39
1
2
Sysmiss
DESCRIBE THE PROBLEM WITH RAIN PATTERN START LATE
DESCRIBE THE PROBLEM WITH RAIN PATTERN START LATE
DESCRIBE THE PROBLEM WITH RAIN PATTERN START LATE
DESCRIBE THE PROBLEM WITH RAIN PATTERN START LATE
DESCRIBE THE PROBLEM WITH RAIN PATTERN START LATE
5
X
START EARLY
START EARLY
START EARLY
START EARLY
START EARLY
TOO LITTLE
TOO LITTLE
TOO LITTLE
TOO LITTLE
TOO LITTLE
6
X
TOO MUCH
TOO MUCH
TOO MUCH
TOO MUCH
TOO MUCH
2
X
TOO HEAVY/STORMY
TOO HEAVY/STORMY
TOO HEAVY/STORMY
TOO HEAVY/STORMY
TOO HEAVY/STORMY
ERRATIC
ERRATIC
ERRATIC
ERRATIC
ERRATIC
2
X
CROP
CROP
CROP
CROP
CROP
5
BANANAS
CASSAVA
PEAS
SWEET POTATOES
YAMS
CROP CODE
CROP CODE
CROP CODE
CROP CODE
CROP CODE
5
44
8
99
49.8
45.483
WAS THIS SHOCK
WAS THIS SHOCK
WAS THIS SHOCK
WAS THIS SHOCK
WAS THIS SHOCK
5
44
2
Sysmiss
DESCRIBE THE PROBLEM WITH RAIN PATTERN START LATE
DESCRIBE THE PROBLEM WITH RAIN PATTERN START LATE
DESCRIBE THE PROBLEM WITH RAIN PATTERN START LATE
DESCRIBE THE PROBLEM WITH RAIN PATTERN START LATE
DESCRIBE THE PROBLEM WITH RAIN PATTERN START LATE
4
X
START EARLY
START EARLY
START EARLY
START EARLY
START EARLY
TOO LITTLE
TOO LITTLE
TOO LITTLE
TOO LITTLE
TOO LITTLE
5
X
TOO MUCH
TOO MUCH
TOO MUCH
TOO MUCH
TOO MUCH
TOO HEAVY/STORMY
TOO HEAVY/STORMY
TOO HEAVY/STORMY
TOO HEAVY/STORMY
TOO HEAVY/STORMY
ERRATIC
ERRATIC
ERRATIC
ERRATIC
ERRATIC
CROP
CROP
CROP
CROP
CROP
1
TOMATOES
CROP CODE
CROP CODE
CROP CODE
CROP CODE
CROP CODE
1
48
99
Sysmiss
WAS THIS SHOCK
WAS THIS SHOCK
WAS THIS SHOCK
WAS THIS SHOCK
WAS THIS SHOCK
1
48
2
Sysmiss
DESCRIBE THE PROBLEM WITH RAIN PATTERN START LATE
DESCRIBE THE PROBLEM WITH RAIN PATTERN START LATE
DESCRIBE THE PROBLEM WITH RAIN PATTERN START LATE
DESCRIBE THE PROBLEM WITH RAIN PATTERN START LATE
DESCRIBE THE PROBLEM WITH RAIN PATTERN START LATE
1
X
START EARLY
START EARLY
START EARLY
START EARLY
START EARLY
TOO LITTLE
TOO LITTLE
TOO LITTLE
TOO LITTLE
TOO LITTLE
1
X
TOO MUCH
TOO MUCH
TOO MUCH
TOO MUCH
TOO MUCH
TOO HEAVY/STORMY
TOO HEAVY/STORMY
TOO HEAVY/STORMY
TOO HEAVY/STORMY
TOO HEAVY/STORMY
ERRATIC
ERRATIC
ERRATIC
ERRATIC
ERRATIC
HOW MUCH MONEY DOES AN AGRICULTURAL LABOURER EARN? TSHS
HOW MUCH MONEY DOES AN AGRICULTURAL LABOURER EARN? TSHS
HOW MUCH MONEY DOES AN AGRICULTURAL LABOURER EARN? TSHS
HOW MUCH MONEY DOES AN AGRICULTURAL LABOURER EARN? TSHS
HOW MUCH MONEY DOES AN AGRICULTURAL LABOURER EARN? TSHS
49
100
5000
594.898
701.95
NUMBER OF HOURS OF WORK
NUMBER OF HOURS OF WORK
NUMBER OF HOURS OF WORK
NUMBER OF HOURS OF WORK
NUMBER OF HOURS OF WORK
49
1
35
5.939
4.625
HOW MUCH MONEY DOES AN AGRICULTURAL LABOURER EARN? TSHS
HOW MUCH MONEY DOES AN AGRICULTURAL LABOURER EARN? TSHS
HOW MUCH MONEY DOES AN AGRICULTURAL LABOURER EARN? TSHS
HOW MUCH MONEY DOES AN AGRICULTURAL LABOURER EARN? TSHS
HOW MUCH MONEY DOES AN AGRICULTURAL LABOURER EARN? TSHS
49
100
1500
458.163
286.201
NUMBER OF HOURS OF WORK
NUMBER OF HOURS OF WORK
NUMBER OF HOURS OF WORK
NUMBER OF HOURS OF WORK
NUMBER OF HOURS OF WORK
49
1
3
4
5
6
7
8
9
HOW MANY CHILDREN UNDER 15 HAVE LOST MOTHER ONLY?
HOW MANY CHILDREN UNDER 15 HAVE LOST MOTHER ONLY?
HOW MANY CHILDREN UNDER 15 HAVE LOST MOTHER ONLY?
HOW MANY CHILDREN UNDER 15 HAVE LOST MOTHER ONLY?
HOW MANY CHILDREN UNDER 15 HAVE LOST MOTHER ONLY?
49
1
99999
20442.469
40702.505
LOST FATHER ONLY
LOST FATHER ONLY
LOST FATHER ONLY
LOST FATHER ONLY
LOST FATHER ONLY
49
2
99999
20450.102
40698.609
LOST BOTH PARENTS
LOST BOTH PARENTS
LOST BOTH PARENTS
LOST BOTH PARENTS
LOST BOTH PARENTS
49
99999
20436.306
40705.659
ON WHAT IS THIS INFORMATION BASED
ON WHAT IS THIS INFORMATION BASED
ON WHAT IS THIS INFORMATION BASED
ON WHAT IS THIS INFORMATION BASED
ON WHAT IS THIS INFORMATION BASED
49
1
REG BY COM
2
REG BY ORGAN
3
SECONDARY DATA
4
EDUCATED GUESS
9
IN KM
IN KM
IN KM
IN KM
IN KM
44
5
999
89.841
205.159
HAS THE COM EVER SENT A CHILD TO AN ORPHANAGE?
HAS THE COM EVER SENT A CHILD TO AN ORPHANAGE?
HAS THE COM EVER SENT A CHILD TO AN ORPHANAGE?
HAS THE COM EVER SENT A CHILD TO AN ORPHANAGE?
HAS THE COM EVER SENT A CHILD TO AN ORPHANAGE?
47
2
1
YES
2
NO
9
DK
Sysmiss
HOW MANY CHILDREN HAVE BEEN SENT IN THE PAST 12 MONTHS
HOW MANY CHILDREN HAVE BEEN SENT IN THE PAST 12 MONTHS
HOW MANY CHILDREN HAVE BEEN SENT IN THE PAST 12 MONTHS
HOW MANY CHILDREN HAVE BEEN SENT IN THE PAST 12 MONTHS
HOW MANY CHILDREN HAVE BEEN SENT IN THE PAST 12 MONTHS
17
32
1
2
3
14
Sysmiss
WHEN A MAN DIES, WHO SETTLES THE INHERITANCE?
WHEN A MAN DIES, WHO SETTLES THE INHERITANCE?
WHEN A MAN DIES, WHO SETTLES THE INHERITANCE?
WHEN A MAN DIES, WHO SETTLES THE INHERITANCE?
WHEN A MAN DIES, WHO SETTLES THE INHERITANCE?
49
1
FAMILY MEMBER
2
CLAN
3
EXTENDED FAMILY
4
COMMUNITY
5
GOVERNMENT OFFICIALS
6
OTHERS
OTHERS
OTHERS
OTHERS
OTHERS
OTHERS
1
IT DEPEND ON THE SAY OF THE DE
HAVE THERE BEEN ANY INHERITANCE DISPUTES IN THE PAST 12 MONT
HAVE THERE BEEN ANY INHERITANCE DISPUTES IN THE PAST 12 MONT
HAVE THERE BEEN ANY INHERITANCE DISPUTES IN THE PAST 12 MONT
HAVE THERE BEEN ANY INHERITANCE DISPUTES IN THE PAST 12 MONT
HAVE THERE BEEN ANY INHERITANCE DISPUTES IN THE PAST 12 MONT
49
1
YES
2
NO
9
DK
HOW MANY SUCH DISPUTES HAVE THERE BEEN
HOW MANY SUCH DISPUTES HAVE THERE BEEN
HOW MANY SUCH DISPUTES HAVE THERE BEEN
HOW MANY SUCH DISPUTES HAVE THERE BEEN
HOW MANY SUCH DISPUTES HAVE THERE BEEN
27
22
1
2
3
4
5
6
10
11
15
Sysmiss
HOW LONG IS THE MOURNING PERIOD NOW NUMBER
HOW LONG IS THE MOURNING PERIOD NOW NUMBER
HOW LONG IS THE MOURNING PERIOD NOW NUMBER
HOW LONG IS THE MOURNING PERIOD NOW NUMBER
HOW LONG IS THE MOURNING PERIOD NOW NUMBER
49
1
2
3
4
5
7
NOW TIME UNIT
NOW TIME UNIT
NOW TIME UNIT
NOW TIME UNIT
NOW TIME UNIT
49
1
2
3
10 YEARS AGO NUMBER
10 YEARS AGO NUMBER
10 YEARS AGO NUMBER
10 YEARS AGO NUMBER
10 YEARS AGO NUMBER
49
1
3
4
5
7
9
10 YEARS AGO TIME UNIT
10 YEARS AGO TIME UNIT
10 YEARS AGO TIME UNIT
10 YEARS AGO TIME UNIT
10 YEARS AGO TIME UNIT
49
1
2
3
20 YEARS AGO NUMBER
20 YEARS AGO NUMBER
20 YEARS AGO NUMBER
20 YEARS AGO NUMBER
20 YEARS AGO NUMBER
49
1
30
5
4.158
20 YEARS AGO TIME UNIT
20 YEARS AGO TIME UNIT
20 YEARS AGO TIME UNIT
20 YEARS AGO TIME UNIT
20 YEARS AGO TIME UNIT
49
1
2
3
HOW LONG IS THE MOURNING PERIOD NOW NUMBER
HOW LONG IS THE MOURNING PERIOD NOW NUMBER
HOW LONG IS THE MOURNING PERIOD NOW NUMBER
HOW LONG IS THE MOURNING PERIOD NOW NUMBER
HOW LONG IS THE MOURNING PERIOD NOW NUMBER
49
1
2
3
4
5
7
NOW TIME UNIT
NOW TIME UNIT
NOW TIME UNIT
NOW TIME UNIT
NOW TIME UNIT
49
1
2
3
10 YEARS AGO NUMBER
10 YEARS AGO NUMBER
10 YEARS AGO NUMBER
10 YEARS AGO NUMBER
10 YEARS AGO NUMBER
49
1
2
3
4
5
7
10 YEARS AGO TIME UNIT
10 YEARS AGO TIME UNIT
10 YEARS AGO TIME UNIT
10 YEARS AGO TIME UNIT
10 YEARS AGO TIME UNIT
49
1
2
3
20 YEARS AGO NUMBER
20 YEARS AGO NUMBER
20 YEARS AGO NUMBER
20 YEARS AGO NUMBER
20 YEARS AGO NUMBER
49
1
30
5.143
4.041
20 YEARS AGO TIME UNIT
20 YEARS AGO TIME UNIT
20 YEARS AGO TIME UNIT
20 YEARS AGO TIME UNIT
20 YEARS AGO TIME UNIT
49
1
2
3
HOW LONG IS THE MOURNING PERIOD NOW NUMBER
HOW LONG IS THE MOURNING PERIOD NOW NUMBER
HOW LONG IS THE MOURNING PERIOD NOW NUMBER
HOW LONG IS THE MOURNING PERIOD NOW NUMBER
HOW LONG IS THE MOURNING PERIOD NOW NUMBER
49
1
3
4
5
7
NOW TIME UNIT
NOW TIME UNIT
NOW TIME UNIT
NOW TIME UNIT
NOW TIME UNIT
49
1
2
3
10 YEARS AGO NUMBER
10 YEARS AGO NUMBER
10 YEARS AGO NUMBER
10 YEARS AGO NUMBER
10 YEARS AGO NUMBER
49
1
3
4
5
7
10 YEARS AGO TIME UNIT
10 YEARS AGO TIME UNIT
10 YEARS AGO TIME UNIT
10 YEARS AGO TIME UNIT
10 YEARS AGO TIME UNIT
49
1
2
3
20 YEARS AGO NUMBER
20 YEARS AGO NUMBER
20 YEARS AGO NUMBER
20 YEARS AGO NUMBER
20 YEARS AGO NUMBER
49
1
30
4.898
4.185
20 YEARS AGO TIME UNIT
20 YEARS AGO TIME UNIT
20 YEARS AGO TIME UNIT
20 YEARS AGO TIME UNIT
20 YEARS AGO TIME UNIT
49
1
2
3
HOW LONG IS THE MOURNING PERIOD NOW NUMBER
HOW LONG IS THE MOURNING PERIOD NOW NUMBER
HOW LONG IS THE MOURNING PERIOD NOW NUMBER
HOW LONG IS THE MOURNING PERIOD NOW NUMBER
HOW LONG IS THE MOURNING PERIOD NOW NUMBER
49
1
2
3
4
5
7
NOW TIME UNIT
NOW TIME UNIT
NOW TIME UNIT
NOW TIME UNIT
NOW TIME UNIT
49
1
2
3
10 YEARS AGO NUMBER
10 YEARS AGO NUMBER
10 YEARS AGO NUMBER
10 YEARS AGO NUMBER
10 YEARS AGO NUMBER
49
1
2
3
4
5
7
10 YEARS AGO TIME UNIT
10 YEARS AGO TIME UNIT
10 YEARS AGO TIME UNIT
10 YEARS AGO TIME UNIT
10 YEARS AGO TIME UNIT
49
1
2
3
20 YEARS AGO NUMBER
20 YEARS AGO NUMBER
20 YEARS AGO NUMBER
20 YEARS AGO NUMBER
20 YEARS AGO NUMBER
49
1
30
4.224
4.094
20 YEARS AGO TIME UNIT
20 YEARS AGO TIME UNIT
20 YEARS AGO TIME UNIT
20 YEARS AGO TIME UNIT
20 YEARS AGO TIME UNIT
49
1
2
3
WHEN SOMEONE DIES IN COM, WHAT IS EXPECTED WHEN MOURNING NOW
WHEN SOMEONE DIES IN COM, WHAT IS EXPECTED WHEN MOURNING NOW
WHEN SOMEONE DIES IN COM, WHAT IS EXPECTED WHEN MOURNING NOW
WHEN SOMEONE DIES IN COM, WHAT IS EXPECTED WHEN MOURNING NOW
WHEN SOMEONE DIES IN COM, WHAT IS EXPECTED WHEN MOURNING NOW
49
A
B
C
10 YEARS AGO
10 YEARS AGO
10 YEARS AGO
10 YEARS AGO
10 YEARS AGO
49
A
B
C
20 YEARS AGO
20 YEARS AGO
20 YEARS AGO
20 YEARS AGO
20 YEARS AGO
49
A
B
C
WHEN SOMEONE DIES IN COM, WHAT IS EXPECTED WHEN MOURNING NOW
WHEN SOMEONE DIES IN COM, WHAT IS EXPECTED WHEN MOURNING NOW
WHEN SOMEONE DIES IN COM, WHAT IS EXPECTED WHEN MOURNING NOW
WHEN SOMEONE DIES IN COM, WHAT IS EXPECTED WHEN MOURNING NOW
WHEN SOMEONE DIES IN COM, WHAT IS EXPECTED WHEN MOURNING NOW
49
A
B
10 YEARS AGO
10 YEARS AGO
10 YEARS AGO
10 YEARS AGO
10 YEARS AGO
49
A
B
C
20 YEARS AGO
20 YEARS AGO
20 YEARS AGO
20 YEARS AGO
20 YEARS AGO
49
A
B
C
WHEN SOMEONE DIES IN COM, WHAT IS EXPECTED WHEN MOURNING NOW
WHEN SOMEONE DIES IN COM, WHAT IS EXPECTED WHEN MOURNING NOW
WHEN SOMEONE DIES IN COM, WHAT IS EXPECTED WHEN MOURNING NOW
WHEN SOMEONE DIES IN COM, WHAT IS EXPECTED WHEN MOURNING NOW
WHEN SOMEONE DIES IN COM, WHAT IS EXPECTED WHEN MOURNING NOW
49
A
B
10 YEARS AGO
10 YEARS AGO
10 YEARS AGO
10 YEARS AGO
10 YEARS AGO
49
A
B
20 YEARS AGO
20 YEARS AGO
20 YEARS AGO
20 YEARS AGO
20 YEARS AGO
49
A
B
WHEN SOMEONE DIES IN COM, WHAT IS EXPECTED WHEN MOURNING NOW
WHEN SOMEONE DIES IN COM, WHAT IS EXPECTED WHEN MOURNING NOW
WHEN SOMEONE DIES IN COM, WHAT IS EXPECTED WHEN MOURNING NOW
WHEN SOMEONE DIES IN COM, WHAT IS EXPECTED WHEN MOURNING NOW
WHEN SOMEONE DIES IN COM, WHAT IS EXPECTED WHEN MOURNING NOW
44
A
B
10 YEARS AGO
10 YEARS AGO
10 YEARS AGO
10 YEARS AGO
10 YEARS AGO
44
A
B
20 YEARS AGO
20 YEARS AGO
20 YEARS AGO
20 YEARS AGO
20 YEARS AGO
44
A
B
WHEN SOMEONE DIES IN COM, WHAT IS EXPECTED WHEN MOURNING NOW
WHEN SOMEONE DIES IN COM, WHAT IS EXPECTED WHEN MOURNING NOW
WHEN SOMEONE DIES IN COM, WHAT IS EXPECTED WHEN MOURNING NOW
WHEN SOMEONE DIES IN COM, WHAT IS EXPECTED WHEN MOURNING NOW
WHEN SOMEONE DIES IN COM, WHAT IS EXPECTED WHEN MOURNING NOW
6
A
B
OTHERS SPECIFY NOW
OTHERS SPECIFY NOW
OTHERS SPECIFY NOW
OTHERS SPECIFY NOW
OTHERS SPECIFY NOW
6
BEFORE SHAVING NO WEARING SHOE
CHOOSE THE HEAD OF THE FAMILY
MOURNING DAY
NO EATING MEAT AND NO TAKING
ONLY FOR TWO DAYS
STAYING WITH THE DECEASED FAMI
10 YEARS AGO
10 YEARS AGO
10 YEARS AGO
10 YEARS AGO
10 YEARS AGO
6
A
B
20 YEARS AGO
20 YEARS AGO
20 YEARS AGO
20 YEARS AGO
20 YEARS AGO
6
A
B
C
IF HER HUSBAND DIES, IS IT CUSTOMARY FOR THE WIFE TO INHERIT
IF HER HUSBAND DIES, IS IT CUSTOMARY FOR THE WIFE TO INHERIT
IF HER HUSBAND DIES, IS IT CUSTOMARY FOR THE WIFE TO INHERIT
IF HER HUSBAND DIES, IS IT CUSTOMARY FOR THE WIFE TO INHERIT
IF HER HUSBAND DIES, IS IT CUSTOMARY FOR THE WIFE TO INHERIT
49
1
2
10 YEARS AGO
10 YEARS AGO
10 YEARS AGO
10 YEARS AGO
10 YEARS AGO
49
1
2
20 YEARS AGO
20 YEARS AGO
20 YEARS AGO
20 YEARS AGO
20 YEARS AGO
49
2
IF HER HUSBAND DIES, IS IT CUSTOMARY FOR THE WIFE TO INHERIT
IF HER HUSBAND DIES, IS IT CUSTOMARY FOR THE WIFE TO INHERIT
IF HER HUSBAND DIES, IS IT CUSTOMARY FOR THE WIFE TO INHERIT
IF HER HUSBAND DIES, IS IT CUSTOMARY FOR THE WIFE TO INHERIT
IF HER HUSBAND DIES, IS IT CUSTOMARY FOR THE WIFE TO INHERIT
49
1
2
9
10 YEARS AGO
10 YEARS AGO
10 YEARS AGO
10 YEARS AGO
10 YEARS AGO
49
1
2
9
20 YEARS AGO
20 YEARS AGO
20 YEARS AGO
20 YEARS AGO
20 YEARS AGO
49
1
2
9
IF HER HUSBAND DIES, IS IT CUSTOMARY FOR THE WIFE TO INHERIT
IF HER HUSBAND DIES, IS IT CUSTOMARY FOR THE WIFE TO INHERIT
IF HER HUSBAND DIES, IS IT CUSTOMARY FOR THE WIFE TO INHERIT
IF HER HUSBAND DIES, IS IT CUSTOMARY FOR THE WIFE TO INHERIT
IF HER HUSBAND DIES, IS IT CUSTOMARY FOR THE WIFE TO INHERIT
49
1
2
9
10 YEARS AGO
10 YEARS AGO
10 YEARS AGO
10 YEARS AGO
10 YEARS AGO
49
1
2
9
20 YEARS AGO
20 YEARS AGO
20 YEARS AGO
20 YEARS AGO
20 YEARS AGO
49
1
2
9
IF HER HUSBAND DIES, IS IT CUSTOMARY FOR THE WIFE TO INHERIT
IF HER HUSBAND DIES, IS IT CUSTOMARY FOR THE WIFE TO INHERIT
IF HER HUSBAND DIES, IS IT CUSTOMARY FOR THE WIFE TO INHERIT
IF HER HUSBAND DIES, IS IT CUSTOMARY FOR THE WIFE TO INHERIT
IF HER HUSBAND DIES, IS IT CUSTOMARY FOR THE WIFE TO INHERIT
49
1
2
10 YEARS AGO
10 YEARS AGO
10 YEARS AGO
10 YEARS AGO
10 YEARS AGO
49
1
2
20 YEARS AGO
20 YEARS AGO
20 YEARS AGO
20 YEARS AGO
20 YEARS AGO
49
1
2
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
49
1
2
3
4
5
IF VERY GOOD WHY?
IF VERY GOOD WHY?
IF VERY GOOD WHY?
IF VERY GOOD WHY?
IF VERY GOOD WHY?
10
39
1
6
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
IF VERY BAD WHY
IF VERY BAD WHY
IF VERY BAD WHY
IF VERY BAD WHY
IF VERY BAD WHY
7
42
2
3
9
11
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
1
FLOODS
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
7
42
1
7
9
10
13
16
Sysmiss
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
7
42
2
99
32.286
45.679
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
49
1
2
3
4
5
IF VERY GOOD WHY?
IF VERY GOOD WHY?
IF VERY GOOD WHY?
IF VERY GOOD WHY?
IF VERY GOOD WHY?
19
30
1
2
7
10
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
IF VERY BAD WHY
IF VERY BAD WHY
IF VERY BAD WHY
IF VERY BAD WHY
IF VERY BAD WHY
2
47
2
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
2
47
7
8
Sysmiss
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
2
47
1
2
Sysmiss
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
49
1
2
3
4
5
IF VERY GOOD WHY?
IF VERY GOOD WHY?
IF VERY GOOD WHY?
IF VERY GOOD WHY?
IF VERY GOOD WHY?
10
39
1
2
10
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
IF VERY BAD WHY
IF VERY BAD WHY
IF VERY BAD WHY
IF VERY BAD WHY
IF VERY BAD WHY
4
45
1
2
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
4
45
6
9
Sysmiss
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
4
45
9
99
32.25
44.507
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
49
1
2
3
4
5
IF VERY GOOD WHY?
IF VERY GOOD WHY?
IF VERY GOOD WHY?
IF VERY GOOD WHY?
IF VERY GOOD WHY?
4
45
1
2
10
11
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
1
MINING
IF VERY BAD WHY
IF VERY BAD WHY
IF VERY BAD WHY
IF VERY BAD WHY
IF VERY BAD WHY
13
36
1
99
12.538
26.311
OTHER
OTHER
OTHER
OTHER
OTHER
1
FLOOD
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
13
36
1
99
14.385
25.76
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
13
36
1
99
28.462
40.399
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
49
1
2
3
4
5
IF VERY GOOD WHY?
IF VERY GOOD WHY?
IF VERY GOOD WHY?
IF VERY GOOD WHY?
IF VERY GOOD WHY?
2
47
1
2
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
IF VERY BAD WHY
IF VERY BAD WHY
IF VERY BAD WHY
IF VERY BAD WHY
IF VERY BAD WHY
14
35
1
2
5
10
11
12
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
14
35
1
4
6
9
10
11
16
Sysmiss
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
11
38
2
99
25.727
36.423
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
49
1
2
3
4
5
IF VERY GOOD WHY?
IF VERY GOOD WHY?
IF VERY GOOD WHY?
IF VERY GOOD WHY?
IF VERY GOOD WHY?
1
48
1
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
IF VERY BAD WHY
IF VERY BAD WHY
IF VERY BAD WHY
IF VERY BAD WHY
IF VERY BAD WHY
9
40
1
99
14.556
31.926
OTHER
OTHER
OTHER
OTHER
OTHER
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
9
40
2
4
7
9
16
Sysmiss
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
9
40
1
99
37.222
46.532
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
49
1
2
3
4
5
IF VERY GOOD WHY?
IF VERY GOOD WHY?
IF VERY GOOD WHY?
IF VERY GOOD WHY?
IF VERY GOOD WHY?
1
48
10
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
IF VERY BAD WHY
IF VERY BAD WHY
IF VERY BAD WHY
IF VERY BAD WHY
IF VERY BAD WHY
12
37
1
2
3
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
12
37
1
2
6
7
9
10
Sysmiss
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
12
37
1
99
13
27.343
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
1
4
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
49
1
2
3
4
5
IF VERY GOOD WHY?
IF VERY GOOD WHY?
IF VERY GOOD WHY?
IF VERY GOOD WHY?
IF VERY GOOD WHY?
1
48
10
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
IF VERY BAD WHY
IF VERY BAD WHY
IF VERY BAD WHY
IF VERY BAD WHY
IF VERY BAD WHY
8
41
1
2
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
8
41
1
5
7
8
9
Sysmiss
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
7
42
2
99
19.286
35.231
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
48
1
1
2
3
4
5
Sysmiss
IF VERY GOOD WHY?
IF VERY GOOD WHY?
IF VERY GOOD WHY?
IF VERY GOOD WHY?
IF VERY GOOD WHY?
2
47
2
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
IF VERY BAD WHY
IF VERY BAD WHY
IF VERY BAD WHY
IF VERY BAD WHY
IF VERY BAD WHY
9
40
1
2
3
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
9
40
1
2
5
8
9
Sysmiss
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
8
41
4
99
18.125
32.739
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
SHOCKS IN PAST 10 YEARS
48
1
2
3
4
5
Sysmiss
IF VERY GOOD WHY?
IF VERY GOOD WHY?
IF VERY GOOD WHY?
IF VERY GOOD WHY?
IF VERY GOOD WHY?
49
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
IF VERY BAD WHY
IF VERY BAD WHY
IF VERY BAD WHY
IF VERY BAD WHY
IF VERY BAD WHY
17
32
1
2
3
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
IF VERY BAD HOW DID YOU COPE? ONE
17
32
1
2
4
5
6
7
8
9
10
11
Sysmiss
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE (FIRST) OTHER
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
HOW DID YOU COPE TWO
16
33
2
3
6
7
8
9
10
11
Sysmiss
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
HOW DID YOU COPE (SECOND) OTHER
S6Q8: comment on Q8
S6Q8: comment on Q8
S6Q8: comment on Q8
S6Q8: comment on Q8
S6Q8: comment on Q8
1
Inherit.by wife depends on the cause of death. If STD,no inheritence.
4
BLOOD PRESSURE
PNEUMONIA
PNEUMONIA IN CHILDREN
TEETH ACHE
14
AMOEBA
ANEMIA
BP
CONVULSION
DENTAL
DIABETES
DIABETS&BLOOD PRESSURE
FLU
HEPICTATS
SKIN DISEASE
UPPER RESPIRATORY INFECTION
UPPER RESPIRATORY TRACT INFECT
6
ANAEMIA
ANAEMIA IN CHILDREN
BLOOD PRESSURE
CONJUCTIVITIS
DIABETES
EYE DISEASE
6
ANAEMIA
ANAEMIA IN CHILDREN
ATHRITIS
COMJUCTIVITIS
FLU
PNEUMONIA
CLUSTER
CLUSTER
CLUSTER
CLUSTER
CLUSTER
90
1
51
24.933
14.93
PLACE OF MEASUREMENT
PLACE OF MEASUREMENT
PLACE OF MEASUREMENT
PLACE OF MEASUREMENT
PLACE OF MEASUREMENT
90
1
SHOPS/ROADSIDE
2
MARKET
3
SHOP#2
4
MARKET #2
DAY
DAY
DAY
DAY
DAY
90
1
31
15.389
9.331
MONTH
MONTH
MONTH
MONTH
MONTH
90
1
2
3
4
5
6
YEAR
YEAR
YEAR
YEAR
YEAR
90
4
5
CODE
CODE
CODE
CODE
CODE
90
2
57
25.756
18.685
IF A MARKET, IS IT IN THIS CLUSTER?
IF A MARKET, IS IT IN THIS CLUSTER?
IF A MARKET, IS IT IN THIS CLUSTER?
IF A MARKET, IS IT IN THIS CLUSTER?
IF A MARKET, IS IT IN THIS CLUSTER?
45
45
1
YES
2
NO
Sysmiss
DISTANCE FROM CLUSTER
DISTANCE FROM CLUSTER
DISTANCE FROM CLUSTER
DISTANCE FROM CLUSTER
DISTANCE FROM CLUSTER
25
65
30
5.12
5.644
HOW OFTEN IS THE MARKET ACTIVE? FREQUENCY
HOW OFTEN IS THE MARKET ACTIVE? FREQUENCY
HOW OFTEN IS THE MARKET ACTIVE? FREQUENCY
HOW OFTEN IS THE MARKET ACTIVE? FREQUENCY
HOW OFTEN IS THE MARKET ACTIVE? FREQUENCY
42
48
1
2
7
Sysmiss
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
TIME UNIT
42
48
1
WEEK
2
MONTH
Sysmiss
DEOCODE
DEOCODE
DEOCODE
DEOCODE
DEOCODE
90
39
DEODAY
DEODAY
DEODAY
DEODAY
DEODAY
90
10
11
14
DEOMONTH
DEOMONTH
DEOMONTH
DEOMONTH
DEOMONTH
90
4
6
CLUSTER
CLUSTER
CLUSTER
CLUSTER
CLUSTER
2700
1
51
24.933
14.849
PLACE OF MEASUREMENT
PLACE OF MEASUREMENT
PLACE OF MEASUREMENT
PLACE OF MEASUREMENT
PLACE OF MEASUREMENT
2700
1
SHOPS/ROADSIDE
2
MARKET
3
SHOP#2
4
MARKET #2
Food code
Food code
Food code
Food code
Food code
2700
1
RawCass
2
DryCass
3
CasFlour
4
MaizeFlr
5
Sorghum
6
FngMillt
7
WhtBread
8
RiceGrd3
9
SugarGr3
10
SwtPtato
11
IrsPtato
12
KidBeans
13
SaltGrd3
14
Grdnuts
15
Tomato
16
CookBana
17
SwtBana
18
Orange
19
CookOil
20
LclBrew
21
TeaLeave
22
Onions
23
ChknEggs
24
Chicken
25
Beef
26
GoatMeat
27
Fish
28
Peas
29
FreshMlk
30
MilkPwdr
Quantity, 1st observation
Quantity, 1st observation
Quantity, 1st observation
Quantity, 1st observation
Quantity, 1st observation
1283
1417
2
25000
913.613
1539.169
Price, 1st observation
Price, 1st observation
Price, 1st observation
Price, 1st observation
Price, 1st observation
1283
1417
10
3800
414.938
461.231
Quantity, 2nd observation
Quantity, 2nd observation
Quantity, 2nd observation
Quantity, 2nd observation
Quantity, 2nd observation
1085
1615
2
20000
870.994
1305.907
Price, 2nd observation
Price, 2nd observation
Price, 2nd observation
Price, 2nd observation
Price, 2nd observation
1085
1615
10
17000
410.517
687.003
Quantity, 3rd observation
Quantity, 3rd observation
Quantity, 3rd observation
Quantity, 3rd observation
Quantity, 3rd observation
888
1812
2
20000
913.258
1622.07
Price, 3rd observation
Price, 3rd observation
Price, 3rd observation
Price, 3rd observation
Price, 3rd observation
888
1812
5
8000
397.455
486.773
CLUSTER
CLUSTER
CLUSTER
CLUSTER
CLUSTER
900
1
51
24.933
14.855
PLACE OF MEASUREMENT
PLACE OF MEASUREMENT
PLACE OF MEASUREMENT
PLACE OF MEASUREMENT
PLACE OF MEASUREMENT
900
1
SHOPS/ROADSIDE
2
MARKET
3
SHOP#2
4
MARKET #2
Pharamceutical code
Pharamceutical code
Pharamceutical code
Pharamceutical code
Pharamceutical code
900
1
Aspirin packed
2
Aspirin unpacked
3
Parcetml packed
4
Parcetml unpacked
5
SP packed
6
SP unpacked
7
Mtklfin packed
8
Mtklfin unpacked
9
Mgnsia packed
10
Mgnsia unpacked
Quantity, 1st observation
Quantity, 1st observation
Quantity, 1st observation
Quantity, 1st observation
Quantity, 1st observation
227
673
1
2
3
5
6
10
20
Sysmiss
Price, 1st observation
Price, 1st observation
Price, 1st observation
Price, 1st observation
Price, 1st observation
227
673
5
1200
124.119
210.621
Quantity, 2nd observation
Quantity, 2nd observation
Quantity, 2nd observation
Quantity, 2nd observation
Quantity, 2nd observation
160
740
1
40
3.256
6.987
Price, 2nd observation
Price, 2nd observation
Price, 2nd observation
Price, 2nd observation
Price, 2nd observation
160
740
5
1000
126.906
206.127
Quantity, 3rd observation
Quantity, 3rd observation
Quantity, 3rd observation
Quantity, 3rd observation
Quantity, 3rd observation
109
791
1
40
2.954
6.186
Price, 3rd observation
Price, 3rd observation
Price, 3rd observation
Price, 3rd observation
Price, 3rd observation
109
791
5
700
125.138
200.536
CLUSTER
CLUSTER
CLUSTER
CLUSTER
CLUSTER
1170
1
51
24.933
14.853
PLACE OF MEASUREMENT
PLACE OF MEASUREMENT
PLACE OF MEASUREMENT
PLACE OF MEASUREMENT
PLACE OF MEASUREMENT
1170
1
SHOPS/ROADSIDE
2
MARKET
3
SHOP#2
4
MARKET #2
Non food code
Non food code
Non food code
Non food code
Non food code
1170
1
Kerosene
2
Firewood
3
DryBatTiger
4
DryBatNat
5
IronPot
6
HurcnLmp
7
LclLamp
8
Matches
9
BarSoap
10
LclLinen
11
Machete
12
MtlBuckt
13
PlstBckt
LOCALITY
LOCALITY
LOCALITY
LOCALITY
LOCALITY
1170
BUHEMBE
BUKWALI
BUMAI
BUZIKU
BWANGA
CHIVU
HAMGEMBE
IBOSA
IGURUGATI
IHANGIRO
IJUGANYONDO
KABIRIZI
KAGONDO
KAHUMLA
KAKONYO
KAMACHUMU
KANONI
KASHEKYA
KASHEKYA-KATI
KASHOZI
KAZINGA
KIBALE
KIBETA
KIBETA -MAGOTI
KIBONA VILLAGE
KIGOROGORO
KIHWERA
KIJUMO
KIKOMERO
KISHANJE
KISHAO
KISHAO 'B'KASINOZO
KITAHYA
KITENDAGURO
KIZINGA
KUMUTANA
KYAKAILABWA
KYEMPILI
LUHANO
LUHANO-KAROLENI
LWAMISHENYE
MABIRA
MAYENZI
MIGARA
MIKONI
MUBUHENGE
MUGOMA
MURUNYAGIRA
MUTUKULA
MUTUKULA -TANZANIA
NGARA TOWN
NSHAMBYA
NYABUSHOZI
NYAKAHANGA
NYAKIGANDO
NYAMIGERE VILLAGE
RUBAFU
RUGANZU
RULANDA
RWAMBAIZI
RWAMISHENYE
SHANGA
TUKUTUKU
1170
111
5121
2509.278
1484.991
Price, 1st observation
Price, 1st observation
Price, 1st observation
Price, 1st observation
Price, 1st observation
604
566
18
7500
794.43
1217.807
Price, 2nd observation
Price, 2nd observation
Price, 2nd observation
Price, 2nd observation
Price, 2nd observation
499
671
20
6500
734.894
1148.108
Price, 3rd observation
Price, 3rd observation
Price, 3rd observation
Price, 3rd observation
Price, 3rd observation
405
765
20
6500
659.63
1071.971
2
Maybe Magwanji (local, cheap) soap
CLUSTER
CLUSTER
CLUSTER
CLUSTER
CLUSTER
90
1
51
24.933
14.93
PLACE OF MEASUREMENT
PLACE OF MEASUREMENT
PLACE OF MEASUREMENT
PLACE OF MEASUREMENT
PLACE OF MEASUREMENT
90
1
SHOPS/ROADSIDE
2
MARKET
3
SHOP#2
4
MARKET #2
PRS3B 1ST OBSERVATION, GRAMS
PRS3B 1ST OBSERVATION, GRAMS
PRS3B 1ST OBSERVATION, GRAMS
PRS3B 1ST OBSERVATION, GRAMS
PRS3B 1ST OBSERVATION, GRAMS
13
77
150
1750
896.154
453.9
PRS3B 1ST OBSERVATION, PRICE
PRS3B 1ST OBSERVATION, PRICE
PRS3B 1ST OBSERVATION, PRICE
PRS3B 1ST OBSERVATION, PRICE
PRS3B 1ST OBSERVATION, PRICE
13
77
50
200
96.154
37.978
PRS3B 2ND OBSERVATION, GRAM
PRS3B 2ND OBSERVATION, GRAM
PRS3B 2ND OBSERVATION, GRAM
PRS3B 2ND OBSERVATION, GRAM
PRS3B 2ND OBSERVATION, GRAM
10
80
600
12000
2154
3480.796
PRS3B 2ND OBSERVATION, PRICE
PRS3B 2ND OBSERVATION, PRICE
PRS3B 2ND OBSERVATION, PRICE
PRS3B 2ND OBSERVATION, PRICE
PRS3B 2ND OBSERVATION, PRICE
10
80
50
800
235
274.924
PRS3B 3RD OBSERVATION, GRAM
PRS3B 3RD OBSERVATION, GRAM
PRS3B 3RD OBSERVATION, GRAM
PRS3B 3RD OBSERVATION, GRAM
PRS3B 3RD OBSERVATION, GRAM
6
84
550
1200
908.333
270.955
PRS3B 3RD OBSERVATION, PRICE
PRS3B 3RD OBSERVATION, PRICE
PRS3B 3RD OBSERVATION, PRICE
PRS3B 3RD OBSERVATION, PRICE
PRS3B 3RD OBSERVATION, PRICE
6
84
100
200
116.667
40.825
90
48
Charcoal
SID
SID
SID
SID
SID
72
1
2
3
CLUSTER
CLUSTER
CLUSTER
CLUSTER
CLUSTER
72
1
51
26.569
14.831
DEO CODE
DEO CODE
DEO CODE
DEO CODE
DEO CODE
72
1
29
25.542
9.216
DEO DAY
DEO DAY
DEO DAY
DEO DAY
DEO DAY
72
8
9
10
13
DEO MONTH
DEO MONTH
DEO MONTH
DEO MONTH
DEO MONTH
72
9
DAY
DAY
DAY
DAY
DAY
72
2
99
17.278
13.095
MONTH
MONTH
MONTH
MONTH
MONTH
72
1
2
3
4
5
6
YEAR
YEAR
YEAR
YEAR
YEAR
72
4
INTERVIEWER CODE
INTERVIEWER CODE
INTERVIEWER CODE
INTERVIEWER CODE
INTERVIEWER CODE
72
2
44
4.694
7.012
STATUS
STATUS
STATUS
STATUS
STATUS
71
1
1
HEADMASTER
2
TEACHER
3
OTHER
9
Sysmiss
OTHERS
OTHERS
OTHERS
OTHERS
OTHERS
1
DIRECTOR
1. Is this school public or private?
1. Is this school public or private?
1. Is this school public or private?
1. Is this school public or private?
1. Is this school public or private?
72
1
PUBLIC
2
PRIVATE SECULAR
3
PRIVATE RELIGIOUS
2. In what year did this school begin to operate?
2. In what year did this school begin to operate?
2. In what year did this school begin to operate?
2. In what year did this school begin to operate?
2. In what year did this school begin to operate?
72
1923
9999
2080.889
946.484
3. What is the highest grade taught in this school?
3. What is the highest grade taught in this school?
3. What is the highest grade taught in this school?
3. What is the highest grade taught in this school?
3. What is the highest grade taught in this school?
72
7
93
P2
P3
P6
P7
4. Is the school a boarding school or a day school?
4. Is the school a boarding school or a day school?
4. Is the school a boarding school or a day school?
4. Is the school a boarding school or a day school?
4. Is the school a boarding school or a day school?
72
1
BOARDING
2
DAY ONLY
3
BOTH
5. How many classrooms are there in this school, including t
5. How many classrooms are there in this school, including t
5. How many classrooms are there in this school, including t
5. How many classrooms are there in this school, including t
5. How many classrooms are there in this school, including t
72
3
4
5
6
7
8
9
10
11
12
13
14
20
6. How many classrooms have blackboards?
6. How many classrooms have blackboards?
6. How many classrooms have blackboards?
6. How many classrooms have blackboards?
6. How many classrooms have blackboards?
72
2
3
4
6
7
8
9
10
11
12
13
14
20
7. Does this school operate in shifts (morning and afternoon
7. Does this school operate in shifts (morning and afternoon
7. Does this school operate in shifts (morning and afternoon
7. Does this school operate in shifts (morning and afternoon
7. Does this school operate in shifts (morning and afternoon
72
1
YES
2
NO
9
DK
8. Are children attending this school ever expected to work
8. Are children attending this school ever expected to work
8. Are children attending this school ever expected to work
8. Are children attending this school ever expected to work
8. Are children attending this school ever expected to work
72
1
YES
2
NO
9
DK
1. Are all of the students who want to enroll in this primar
1. Are all of the students who want to enroll in this primar
1. Are all of the students who want to enroll in this primar
1. Are all of the students who want to enroll in this primar
1. Are all of the students who want to enroll in this primar
72
1
2
2. Why aren't some children who want to enroll admitted? FIR
2. Why aren't some children who want to enroll admitted? FIR
2. Why aren't some children who want to enroll admitted? FIR
2. Why aren't some children who want to enroll admitted? FIR
2. Why aren't some children who want to enroll admitted? FIR
4
68
1
AGE
2
NOT ENOUGH CLASSROOS
3
CHILD NOT FROM THE VILLAGE
4
BAD BEHAVIOR
5
POOR GRADE
6
STUDENT CAN'T PAY
7
FEW TEACHER
8
OTHER
Sysmiss
SECOND
SECOND
SECOND
SECOND
SECOND
4
68
1
AGE
2
NOT ENOUGH CLASSROOS
3
CHILD NOT FROM THE VILLAGE
4
BAD BEHAVIOR
5
POOR GRADE
6
STUDENT CAN'T PAY
7
FEW TEACHER
8
OTHER
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
1
PARENTS
OTHER (FOR SECOND REASON)
OTHER (FOR SECOND REASON)
OTHER (FOR SECOND REASON)
OTHER (FOR SECOND REASON)
OTHER (FOR SECOND REASON)
2
BAD VILLAGE GOVERNANCE
HEALTH PROBLEM
3. Is there a waiting list for admission to this school?
3. Is there a waiting list for admission to this school?
3. Is there a waiting list for admission to this school?
3. Is there a waiting list for admission to this school?
3. Is there a waiting list for admission to this school?
72
1
YES
2
NO
9
DK
4. How many children are on the waiting list?
4. How many children are on the waiting list?
4. How many children are on the waiting list?
4. How many children are on the waiting list?
4. How many children are on the waiting list?
6
66
6
75
30.667
30.29
5. Why were some children absent in the last day of school?
5. Why were some children absent in the last day of school?
5. Why were some children absent in the last day of school?
5. Why were some children absent in the last day of school?
5. Why were some children absent in the last day of school?
72
1
CHILD IS ILL
2
WORK AT HOME
3
INABILITY TO PAY FEES
4
OTHER'S ILLNESS
5
TRUANCY
6
FEW TEACHERS
7
OTHER
8
NOT ENOUGH SPACE
9
SECOND
SECOND
SECOND
SECOND
SECOND
64
8
1
CHILD IS ILL
2
WORK AT HOME
3
INABILITY TO PAY FEES
4
OTHER'S ILLNESS
5
TRUANCY
6
FEW TEACHERS
7
OTHER
8
NOT ENOUGH SPACE
9
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
5
HEAVY RAIN
INVOLVED IN BUSSINESS
LONG DISTANCE
NEGLIGENCE FROM PARENTS
TRANSPORTATION
OTHER FOR SECOND REASON
OTHER FOR SECOND REASON
OTHER FOR SECOND REASON
OTHER FOR SECOND REASON
OTHER FOR SECOND REASON
11
DISTANCE
FAMILY PROBLEMS
LACK OF UNIFORMS
LACK OF UNIFORMS, BOOKS
LACK UNIFORMS & STATIONARIES
MOURNING
ORPHANS ,LACK OF EQUIPMENTS
PARENTS NOT INSPIRED
UNABLE TO GET SCHOOLING NEEDS
UNABLE TO GET UNIFORMS
1. Are there annual fees required to enroll in this school?
1. Are there annual fees required to enroll in this school?
1. Are there annual fees required to enroll in this school?
1. Are there annual fees required to enroll in this school?
1. Are there annual fees required to enroll in this school?
72
1
YES
2
NO
9
DK
P1 (TSHS)
P1 (TSHS)
P1 (TSHS)
P1 (TSHS)
P1 (TSHS)
4
68
170000
555000
360000
165277.544
P2 (TSHS)
P2 (TSHS)
P2 (TSHS)
P2 (TSHS)
P2 (TSHS)
4
68
42000
555000
265500
218901.043
P3 (TSHS)
P3 (TSHS)
P3 (TSHS)
P3 (TSHS)
P3 (TSHS)
3
69
42000
555000
297333.333
256507.96
P4 (TSHS)
P4 (TSHS)
P4 (TSHS)
P4 (TSHS)
P4 (TSHS)
3
69
42000
570000
302333.333
264076.378
P5 (TSHS)
P5 (TSHS)
P5 (TSHS)
P5 (TSHS)
P5 (TSHS)
3
69
295000
570000
428333.333
137689.264
P6 (TSHS)
P6 (TSHS)
P6 (TSHS)
P6 (TSHS)
P6 (TSHS)
3
69
295000
570000
428333.333
137689.264
P7 (TSHS)
P7 (TSHS)
P7 (TSHS)
P7 (TSHS)
P7 (TSHS)
2
70
295000
550000
422500
180312.229
3. Are the following children exempted from paying these ann
3. Are the following children exempted from paying these ann
3. Are the following children exempted from paying these ann
3. Are the following children exempted from paying these ann
3. Are the following children exempted from paying these ann
4
68
1
YES
2
NO
9
DK
Sysmiss
ORPHANS
ORPHANS
ORPHANS
ORPHANS
ORPHANS
4
68
1
YES
2
NO
9
DK
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
4
68
1
YES
2
NO
9
DK
Sysmiss
OTHER? SPECIFY
OTHER? SPECIFY
OTHER? SPECIFY
OTHER? SPECIFY
OTHER? SPECIFY
1
SPONSORED BY ELCT
4. Are there initial registration or entrance fees?
4. Are there initial registration or entrance fees?
4. Are there initial registration or entrance fees?
4. Are there initial registration or entrance fees?
4. Are there initial registration or entrance fees?
72
1
YES
2
NO
4
9
DK
5. How much are these registration/entrance fees?
5. How much are these registration/entrance fees?
5. How much are these registration/entrance fees?
5. How much are these registration/entrance fees?
5. How much are these registration/entrance fees?
3
69
2000
50000
18333.333
27428.695
6. Are the parents of students required to join any parents'
6. Are the parents of students required to join any parents'
6. Are the parents of students required to join any parents'
6. Are the parents of students required to join any parents'
6. Are the parents of students required to join any parents'
72
1
YES
2
NO
9
DK
7. How much money per year must parents contribute to this a
7. How much money per year must parents contribute to this a
7. How much money per year must parents contribute to this a
7. How much money per year must parents contribute to this a
7. How much money per year must parents contribute to this a
72
Sysmiss
8. Are students required to wear uniforms at this school?
8. Are students required to wear uniforms at this school?
8. Are students required to wear uniforms at this school?
8. Are students required to wear uniforms at this school?
8. Are students required to wear uniforms at this school?
72
1
YES
2
NO
9
DK
9. How much do uniforms cost? BOY'S UNIFORM
9. How much do uniforms cost? BOY'S UNIFORM
9. How much do uniforms cost? BOY'S UNIFORM
9. How much do uniforms cost? BOY'S UNIFORM
9. How much do uniforms cost? BOY'S UNIFORM
72
2500
63000
6438.889
8281.96
GIRL'S UNIFORM (TSHS)
GIRL'S UNIFORM (TSHS)
GIRL'S UNIFORM (TSHS)
GIRL'S UNIFORM (TSHS)
GIRL'S UNIFORM (TSHS)
72
2000
65000
6373.611
8501.615
10. Is this a boarding school?
10. Is this a boarding school?
10. Is this a boarding school?
10. Is this a boarding school?
10. Is this a boarding school?
72
1
YES
2
NO
9
DK
11. What are the annual boarding fees for boarding students?
11. What are the annual boarding fees for boarding students?
11. What are the annual boarding fees for boarding students?
11. What are the annual boarding fees for boarding students?
11. What are the annual boarding fees for boarding students?
3
69
295000
5550000
3348333.333
2729058.14
3. How many children complete P7 during the last academic ye
3. How many children complete P7 during the last academic ye
3. How many children complete P7 during the last academic ye
3. How many children complete P7 during the last academic ye
3. How many children complete P7 during the last academic ye
70
2
90
31.486
17.901
4. How many of the P7 graduates gained admission to secondar
4. How many of the P7 graduates gained admission to secondar
4. How many of the P7 graduates gained admission to secondar
4. How many of the P7 graduates gained admission to secondar
4. How many of the P7 graduates gained admission to secondar
69
3
70
12.087
13.956
GRADE A
GRADE A
GRADE A
GRADE A
GRADE A
72
1
2
3
4
5
6
7
8
9
10
11
12
14
15
17
19
GRADE B
GRADE B
GRADE B
GRADE B
GRADE B
67
5
1
2
3
4
5
6
7
9
14
Sysmiss
GRADE C
GRADE C
GRADE C
GRADE C
GRADE C
42
30
1
2
3
4
5
6
7
9
Sysmiss
OTHER
OTHER
OTHER
OTHER
OTHER
38
34
1
2
3
4
8
Sysmiss
TOTAL TEACHERS
TOTAL TEACHERS
TOTAL TEACHERS
TOTAL TEACHERS
TOTAL TEACHERS
72
2
29
10.708
5.061
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
69
3
116
25.971
25.55
B. Math books
B. Math books
B. Math books
B. Math books
B. Math books
63
9
81
23.825
16.221
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
71
1
94
20.859
17.054
B. Math books
B. Math books
B. Math books
B. Math books
B. Math books
72
99
18.875
18.124
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
72
92
22.014
15.851
B. Math books
B. Math books
B. Math books
B. Math books
B. Math books
71
1
99
20.225
20.999
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
71
1
77
16.549
11.936
B. Math books
B. Math books
B. Math books
B. Math books
B. Math books
70
2
78
15.671
13.734
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
71
1
64
14.324
12.024
B. Math books
B. Math books
B. Math books
B. Math books
B. Math books
70
2
45
11.829
9.507
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
70
2
44
11.486
9.783
B. Math books
B. Math books
B. Math books
B. Math books
B. Math books
70
2
56
12.186
12.566
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
71
1
40
12.592
9.22
B. Math books
B. Math books
B. Math books
B. Math books
B. Math books
70
2
65
12.686
11.149
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
20
52
120
10.4
28.259
B. Math books
B. Math books
B. Math books
B. Math books
B. Math books
20
52
109
8.7
24.883
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
How many text books are availabe for the students of each gr
72
6
402
122.889
71.964
B. Math books
B. Math books
B. Math books
B. Math books
B. Math books
72
1
344
112.167
76.43
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
70
2
1
2
3
4
5
6
7
13
Sysmiss
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
71
1
7
526
104.155
73.5
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
71
1
5
279
52.592
37.328
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
70
2
14
477
90.343
65.058
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
62
10
21
3.016
4.298
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
61
11
42
3.492
6.153
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
64
8
63
6.297
9.929
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
68
4
1
2
3
4
6
8
11
Sysmiss
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
71
1
12
413
109.451
68.394
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
71
1
5
199
53.845
33.85
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
69
3
12
368
95.058
63.034
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
61
11
25
3.377
4.517
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
65
7
29
3.523
4.486
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
66
6
54
6.636
8.586
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
69
3
1
2
3
4
6
7
10
Sysmiss
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
70
2
12
387
112.386
71.812
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
70
2
5
180
54.929
33.888
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
69
3
324
95.029
65.956
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
65
7
1
2
3
4
5
7
8
10
11
12
14
Sysmiss
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
64
8
1
2
3
4
5
6
7
8
9
10
11
14
Sysmiss
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
66
6
24
7.076
6.412
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
67
5
1
2
3
4
6
Sysmiss
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
68
4
15
229
85.338
48.021
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
68
4
6
397
48.221
48.854
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
67
5
4
204
69.09
43.42
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
63
9
1
2
3
4
5
6
7
8
10
13
15
Sysmiss
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
65
7
1
2
3
4
5
6
7
8
11
12
14
19
Sysmiss
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
68
4
34
6.235
6.685
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
67
5
1
2
3
5
Sysmiss
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
68
4
8
139
48.191
23.515
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
68
4
3
72
24.044
14.263
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
67
5
8
420
48.866
51.623
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
64
8
1
2
3
4
5
6
8
9
11
16
Sysmiss
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
60
12
1
2
3
4
5
6
7
11
Sysmiss
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
65
7
23
4.754
4.972
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
67
5
1
2
6
Sysmiss
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
68
4
5
127
39.441
24.253
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
68
4
2
62
19.088
11.906
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
66
6
5
108
32.318
19.353
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
59
13
1
2
3
4
5
6
10
12
Sysmiss
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
58
14
1
2
3
4
5
6
7
9
11
14
Sysmiss
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
62
10
26
4.129
4.941
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
65
7
1
2
7
Sysmiss
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
66
6
136
36.136
25.419
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
66
6
76
17.606
12.769
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
66
6
114
32.212
22.028
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
58
14
1
2
3
4
5
9
10
12
14
Sysmiss
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
59
13
1
2
3
4
5
6
10
11
12
Sysmiss
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
61
11
25
4.148
5.253
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
33
39
1
2
4
7
Sysmiss
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
36
36
109
38.833
31.2
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
35
37
51
19.857
15.34
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
33
39
106
31.636
26.255
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
32
40
1
2
3
4
5
8
12
15
Sysmiss
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
32
40
1
2
3
4
5
8
10
11
Sysmiss
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
33
39
25
3.879
6.264
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
A. NUMBER OF CLASSES
69
3
2
37
11.855
6.495
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
B. NUMBER OF STUDENTS ENROLLED
71
1
69
1421
538.155
284.253
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
C. NUMBER OF STUDENTS ATTENDING LAST WEEK
71
1
35
736
272.268
138.392
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
D. NUMBER OF STUDENTS ATTENDING LAST WEEK
71
1
30
1356
446.648
250.564
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
68
4
97
19.926
21.086
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
69
3
1
126
19.319
22.064
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
E. HOW MANY CHILDREN IN THIS GRADE HAVE LOST BOTH OF THEIR P
71
1
1
219
37.451
41.582
receive any assistance or contributions in the form of (..)
receive any assistance or contributions in the form of (..)
receive any assistance or contributions in the form of (..)
receive any assistance or contributions in the form of (..)
receive any assistance or contributions in the form of (..)
60
12
1
2
9
Sysmiss
7. From which organization(s) was this (...) received? (FIRS
7. From which organization(s) was this (...) received? (FIRS
7. From which organization(s) was this (...) received? (FIRS
7. From which organization(s) was this (...) received? (FIRS
7. From which organization(s) was this (...) received? (FIRS
25
47
1
9
11
Sysmiss
SECOND
SECOND
SECOND
SECOND
SECOND
5
67
1
11
Sysmiss
THIRD
THIRD
THIRD
THIRD
THIRD
4
68
1
9
11
Sysmiss
8. What is the value of all the assistance of this form in t
8. What is the value of all the assistance of this form in t
8. What is the value of all the assistance of this form in t
8. What is the value of all the assistance of this form in t
8. What is the value of all the assistance of this form in t
27
45
50
999999999
39113356.63
192143768.373
receive any assistance or contributions in the form of (..)
receive any assistance or contributions in the form of (..)
receive any assistance or contributions in the form of (..)
receive any assistance or contributions in the form of (..)
receive any assistance or contributions in the form of (..)
33
39
1
2
Sysmiss
7. From which organization(s) was this (...) received? (FIRS
7. From which organization(s) was this (...) received? (FIRS
7. From which organization(s) was this (...) received? (FIRS
7. From which organization(s) was this (...) received? (FIRS
7. From which organization(s) was this (...) received? (FIRS
15
57
1
10
11
Sysmiss
SECOND
SECOND
SECOND
SECOND
SECOND
4
68
1
11
Sysmiss
THIRD
THIRD
THIRD
THIRD
THIRD
6
66
1
11
14
Sysmiss
8. What is the value of all the assistance of this form in t
8. What is the value of all the assistance of this form in t
8. What is the value of all the assistance of this form in t
8. What is the value of all the assistance of this form in t
8. What is the value of all the assistance of this form in t
17
55
4800
132623550
8836908.765
31992839.325
receive any assistance or contributions in the form of (..)
receive any assistance or contributions in the form of (..)
receive any assistance or contributions in the form of (..)
receive any assistance or contributions in the form of (..)
receive any assistance or contributions in the form of (..)
34
38
1
2
9
Sysmiss
7. From which organization(s) was this (...) received? (FIRS
7. From which organization(s) was this (...) received? (FIRS
7. From which organization(s) was this (...) received? (FIRS
7. From which organization(s) was this (...) received? (FIRS
7. From which organization(s) was this (...) received? (FIRS
11
61
1
6
9
11
Sysmiss
SECOND
SECOND
SECOND
SECOND
SECOND
1
71
1
Sysmiss
THIRD
THIRD
THIRD
THIRD
THIRD
3
69
1
11
Sysmiss
8. What is the value of all the assistance of this form in t
8. What is the value of all the assistance of this form in t
8. What is the value of all the assistance of this form in t
8. What is the value of all the assistance of this form in t
8. What is the value of all the assistance of this form in t
14
58
85200
13790060
1326106
3592416.819
receive any assistance or contributions in the form of (..)
receive any assistance or contributions in the form of (..)
receive any assistance or contributions in the form of (..)
receive any assistance or contributions in the form of (..)
receive any assistance or contributions in the form of (..)
34
38
1
2
9
Sysmiss
7. From which organization(s) was this (...) received? (FIRS
7. From which organization(s) was this (...) received? (FIRS
7. From which organization(s) was this (...) received? (FIRS
7. From which organization(s) was this (...) received? (FIRS
7. From which organization(s) was this (...) received? (FIRS
13
59
1
8
9
11
Sysmiss
SECOND
SECOND
SECOND
SECOND
SECOND
5
67
1
11
Sysmiss
THIRD
THIRD
THIRD
THIRD
THIRD
5
67
1
11
Sysmiss
8. What is the value of all the assistance of this form in t
8. What is the value of all the assistance of this form in t
8. What is the value of all the assistance of this form in t
8. What is the value of all the assistance of this form in t
8. What is the value of all the assistance of this form in t
15
57
24000
16000000
3281794.933
4331585.978
receive any assistance or contributions in the form of (..)
receive any assistance or contributions in the form of (..)
receive any assistance or contributions in the form of (..)
receive any assistance or contributions in the form of (..)
receive any assistance or contributions in the form of (..)
34
38
1
2
9
Sysmiss
7. From which organization(s) was this (...) received? (FIRS
7. From which organization(s) was this (...) received? (FIRS
7. From which organization(s) was this (...) received? (FIRS
7. From which organization(s) was this (...) received? (FIRS
7. From which organization(s) was this (...) received? (FIRS
12
60
1
8
9
11
Sysmiss
SECOND
SECOND
SECOND
SECOND
SECOND
4
68
1
11
Sysmiss
THIRD
THIRD
THIRD
THIRD
THIRD
2
70
1
11
Sysmiss
8. What is the value of all the assistance of this form in t
8. What is the value of all the assistance of this form in t
8. What is the value of all the assistance of this form in t
8. What is the value of all the assistance of this form in t
8. What is the value of all the assistance of this form in t
12
60
21750
999999999
85730164.417
287938785.816
receive any assistance or contributions in the form of (..)
receive any assistance or contributions in the form of (..)
receive any assistance or contributions in the form of (..)
receive any assistance or contributions in the form of (..)
receive any assistance or contributions in the form of (..)
34
38
1
2
Sysmiss
7. From which organization(s) was this (...) received? (FIRS
7. From which organization(s) was this (...) received? (FIRS
7. From which organization(s) was this (...) received? (FIRS
7. From which organization(s) was this (...) received? (FIRS
7. From which organization(s) was this (...) received? (FIRS
15
57
1
9
10
11
Sysmiss
SECOND
SECOND
SECOND
SECOND
SECOND
4
68
1
9
11
Sysmiss
THIRD
THIRD
THIRD
THIRD
THIRD
3
69
1
11
Sysmiss
8. What is the value of all the assistance of this form in t
8. What is the value of all the assistance of this form in t
8. What is the value of all the assistance of this form in t
8. What is the value of all the assistance of this form in t
8. What is the value of all the assistance of this form in t
15
57
34600
12000000
1246478.533
3088184.521
receive any assistance or contributions in the form of (..)
receive any assistance or contributions in the form of (..)
receive any assistance or contributions in the form of (..)
receive any assistance or contributions in the form of (..)
receive any assistance or contributions in the form of (..)
34
38
1
2
Sysmiss
7. From which organization(s) was this (...) received? (FIRS
7. From which organization(s) was this (...) received? (FIRS
7. From which organization(s) was this (...) received? (FIRS
7. From which organization(s) was this (...) received? (FIRS
7. From which organization(s) was this (...) received? (FIRS
8
64
1
2
5
9
10
11
Sysmiss
SECOND
SECOND
SECOND
SECOND
SECOND
72
Sysmiss
THIRD
THIRD
THIRD
THIRD
THIRD
1
71
11
Sysmiss
8. What is the value of all the assistance of this form in t
8. What is the value of all the assistance of this form in t
8. What is the value of all the assistance of this form in t
8. What is the value of all the assistance of this form in t
8. What is the value of all the assistance of this form in t
9
63
1200
1073340
188004
340700.557