The Economic Impact of AIDS Treatment: Labor Supply in Western Kenya Not Assigned HIV DDI_KEN_2004_GEHDS_v01_M Akiko Sagesaka 2010-02-19 Metadata Editor Columbia University Yale University Calderone Program Center for Interdisciplinary Research on AIDS National Institute of Mental Health Pfizer Social Science Research Council UK Economic and Social Research Council The World Bank Markus Goldstein Harsha Thirumurthy Version 1.0 The study examines the impact of ARV therapy on the labor supply of treated patients with HIV/AIDS and other household members. For ethical reasons, a randomized treatment intervention was not possible. Therefore, the authors use a difference-in-difference (DD)-type strategy, which compares labor supply outcomes of households with an ARV-treated patient to those of households without an ARV patient, while controlling for individual fixed effects and time-varying factors, such as seasonality, that influence labor supply. Alternate specifications allow for variation in length of treatment among AMPATH patients. Initially, the analysis of labor supply is restricted to individuals between the ages of 18 and 65 who appear in both survey rounds (191 treatment and 1,286 comparison). Later, patients not captured in round 2 are included and assumed to have zero labor supply to reduce attrition bias. However, since it is unlikely that all missing patients are not working, these estimates are assumed to provide a lower bound on the labor supply response. The authors also estimate the upper bound of the impact of treatment on the treated by assuming that, in the absence of treatment, the health of individuals with AIDS would decline rapidly, making them unable to work (or even survive) by round 2. To establish the link between health and labor supply more directly, the authors use data on patients medical conditions (CD4 count and body mass index (BMI)) to estimate the impact of improved health status on labor supply. Because health status is considered to be endogenous and likely measured with error, the authors also use an instrumental variables (IV) approach using indicator variables of ARV treatment duration (three month increments) as the instrument for health status. This analysis is restricted to only ARV recipients since measures of health status are not available for non-recipients from the random sample. Since the number of observations is limited to those patients for whom CD4 and BMI measures are recorded, values are predicted for all patients using the point estimates of the coefficients in the first stage equation. The results are disaggregated by type of economic activity and gender. The analysis is based on a two-round survey of 266 households with at least one AMPATH patient (the treatment group) and 503 households without an AMPATH patient, chosen randomly from a census of households in Kosirai Division (the comparison group). Completed IE not linked to a WB operation Africa (AFR) Kenya Human Development Network (HDN) Poverty Reduction (PO) Joshua Graff Zivin Greater Eldoret Health and Development Survey (Round 1) 2004 GEHDS 2004 KEN_2004_GEHDS_v01_M Markus Goldstein and Harsha Thirumurthy (c)2010, The World Bank Metadata Editor Other Household Health Survey [hh/hea] v1.2: Edited data, second version, for internal use only The basic raw data has been reformatted to long form from wide form. consumption/consumer behaviour [1.1] income, property and investment/saving [1.5] employment [3.1] basic skills education [6.1] compulsory and pre-school education [6.2] accidents and injuries [8.1] general health [8.4] health care and medical treatment [8.5] specific diseases and medical conditions [8.9] Kenya Household, Individual Sample survey data [ssd] Face-to-face [f2f] Markus Goldstein and Harsha Thirumurthy. Greater Eldoret Health and Development Survey (GEHDS) Round 1, 2004. Ref. KEN_2004_GEHDS_v01_M. Dataset downloaded from www.microdata.worldbank.org on [date]. identification.NSDstat The file contains data related to cover sheet of the household survey. 1297 24 Nesstar 200801 Version 1.0, converted from wide to long format. hh_roster.NSDstat The file contains data related to "Household roster" (Current Household Members, Children Residing Elsewhere). 9711 34 Nesstar 200801 Version 1.0, converted from wide to long format. iroster.NSDstat The file contains data related to "Permanent individual roster". 2193 18 Nesstar 200801 Version 1.0, converted from wide to long format. education.NSDstat The file contains data related to "Education" (Education, Schooling in 2003 and 2004, Schooling in 2001 and 2002). 4223 45 Nesstar 200801 Version 1.0, converted from wide to long format. educexp.NSDstat The file contains data related to "Education expenditure"(Household Education expenditure, Education scholarships, Educational contributions from within household, Education contributions from outside the household, and Education expenditure history). 2752 75 Nesstar 200801 Version 1.0, converted from wide to long format. health.NSDstat The file contains data related to "Health and health services use" (Most recent illness, Chronic conditions, and Health records data), except for section C. 4788 127 Nesstar 200801 Version 1.0, converted from wide to long format. health_c.NSDstat The file contains data related to section C of "Health and health services use" (Health History). 822 17 Nesstar 200801 Version 1.0, converted from wide to long format. health_c_I.NSDstat 1274 21 Nesstar 200801 Version 1.0, converted from wide to long format. health_c_II.NSDstat 104 21 Nesstar 200801 Version 1.0, converted from wide to long format. health_c_III.NSDstat 158 21 Nesstar 200801 Version 1.0, converted from wide to long format. health_c_IV.NSDstat 15 21 Nesstar 200801 Version 1.0, converted from wide to long format. food.NSDstat The file contains data related to "Food consumption and expenditures". 15121 16 Nesstar 200801 Version 1.0, converted from wide to long format. othexp.NSDstat The file contains data related to "Other household expenses". 11877 15 Nesstar 200801 Version 1.0, converted from wide to long format. assets.NSDstat The file contains data related to "Assets", except for questions 8-15 and 17-24 in part I, 1-3, 5-9 and 11-14 in part II, 7-11 and 13-16 in part III, part IV, and 1-5, 6-10, and 12-15 in part V. 811 33 Nesstar 200801 Version 1.0, converted from wide to long format. assets_I8.NSDstat The file contains data related to questions 8-11 in part I of "Assets" (Land sales). 66 16 Nesstar 200801 Version 1.0, converted from wide to long format. assets_I12.NSDstat The file contains data related to questions 12-15 in part I of "Aassets" (Land gifts to others). 10 15 Nesstar 200801 Version 1.0, converted from wide to long format. assets_I17.NSDstat The file contains data related to questions 17-23 in part I of "Assets" (Land purchase/acquisitions). 114 22 Nesstar 200801 Version 1.0, converted from wide to long format. assets_II.NSDstat The file contains data related to questions 1-3 in part II of "Assets" (Livestock). 6488 9 Nesstar 200801 Version 1.0, converted from wide to long format. assets_II5.NSDstat The file contains data related to questions 5-9 in part II of "Assets" (Livestock sales and gifts). 464 21 Nesstar 200801 Version 1.0, converted from wide to long format. assets_II11.NSDstat The file contains data related to questions 11-14 in part II of "Assets" (Livestock purchases/acquisitions). 256 20 Nesstar 200801 Version 1.0, converted from wide to long format. assets_III.NSDstat The file contains data related to part III of "Assets" (Large farm equipment). 8110 12 Nesstar 200801 Version 1.0, converted from wide to long format. assets_III7.NSDstat The file contains data related to questions 7-11 in part III of "Assets" (Equipment sales and gifts). 3 19 Nesstar 200801 Version 1.0, converted from wide to long format. assets_III13.NSDstat The file contains data related to questions 13-16 in part III of "Assets" (Equipment purchases/acquisitions). 28 20 Nesstar 200801 Version 1.0, converted from wide to long format. assets_IV.NSDstat The file contains data related to part IV of "Assets" (Small farm equipment). 6488 11 Nesstar 200801 Version 1.0, converted from wide to long format. assets_V.NSDstat The file contains data related to questions 1-5 in part V of "Assets" (Vehicles). 5677 12 Nesstar 200801 Version 1.0, converted from wide to long format. assets_V6.NSDstat The file contains data related to questions 6-10 in part V of "Assets" (Vehicle sales and gifts). 75 19 Nesstar 200801 Version 1.0, converted from wide to long format. assets_V12.NSDstat The file contains data related to questions 12-15 in part V of "Assets" (Vehicle purchases/acquisitions). 128 20 Nesstar 200801 Version 1.0, converted from wide to long format. assets_VI.NSDstat The file contains data related to part VI of "Assets" (Durable goods). 8110 11 Nesstar 200801 Version 1.0, converted from wide to long format. income.NSDstat The file contains data related to "Income and activities" (General employment information, Wage employment in the past 7 days, Self-employed farming in the past 7 days, Self-employed businesses in the past 7 days, Main job in the past 12 months, Secondary job in the past 12 months, and Non-labor income). 3807 123 Nesstar 200801 Version 1.0, converted from wide to long format. aghead_a.NSDstat The file contains data related to section A of "Agricultural activities - Household head" (Land). 2228 27 Nesstar 200801 Version 1.0, converted from wide to long format. aghead_b.NSDstat The file contains data related to section B of "Agricultural activities - Household head" (Crop outputs). 2147 22 Nesstar 200801 Version 1.0, converted from wide to long format. aghead_c.NSDstat The file contains data related to section C of "Agricultural activities - Household head" (Sales of major crops). 1556 41 Nesstar 200801 Version 1.0, converted from wide to long format. aghead_d.NSDstat The file contains data related to section D of "Agricultural activities - Household head" (Farm inputs). 5446 13 Nesstar 200801 Version 1.0, converted from wide to long format. aghead_e.NSDstat The file contains data related to section E of "Agricultural activities - Household head" (Other Agricultural Information - Agricultural Help and Agricultural Extension), except for questions 2-4 in E1. 778 18 Nesstar 200801 Version 1.0, converted from wide to long format. aghead_e1_2.NSDstat The file contains data related to questions 2-4 in section E1 of "Agricultural activities - Household head" (Agricultural Help). 215 13 Nesstar 200801 Version 1.0, converted from wide to long format. agspouse_a.NSDstat The file contains data related to section A of "Agricultural activities - Spouse" (Crop outputs). 1337 19 Nesstar 200801 Version 1.0, converted from wide to long format. agspouse_b.NSDstat The file contains data related to section B of "Agricultural activities - Spouse" (Farm inputs). 2646 10 Nesstar 200801 Version 1.0, converted from wide to long format. agspouse_c.NSDstat The file contains data related to section C of "Agricultural activities - Spouse" (Other Agricultural Information - Agricultural Help and Agricultural Extension), except for questions 2-4 in C1. 378 15 Nesstar 200801 Version 1.0, converted from wide to long format. agspouse_c_2.NSDstat The file contains data related to questions 2-4 in section C1 of "Agricultural activities - Spouse" (Agricultural Help). 38 10 Nesstar 200801 Version 1.0, converted from wide to long format. enterprise.NSDstat The file contains data related to "Enterprises". 512 32 Nesstar 200801 Version 1.0, converted from wide to long format. shocks.NSDstat The file contains data related to "Unexpected events" (Farm events, Home events, and Employment Events), except for questions 3-5, 7-9, 11-13, 15-17, and 19-21 in section A, questions 24-25, 27-28, 30-31, 33-34, 36-38, and 40-42 in section B, questions 45-47, 49-50, 53-55 in section C. 813 37 Nesstar 200801 Version 1.0, converted from wide to long format. shocks_a3.NSDstat The file contains data related to questions 3-5 in section A of "Unexpected events" (Farm events). 395 13 Nesstar 200801 Version 1.0, converted from wide to long format. shocks_a7.NSDstat The file contains data related to questions 7-9 in section A of "Unexpected events" (Farm events). 138 11 Nesstar 200801 Version 1.0, converted from wide to long format. shocks_a11.NSDstat The file contains data related to questions 11-13 in section A of "Unexpected events" (Farm events). 150 11 Nesstar 200801 Version 1.0, converted from wide to long format. shocks_a15.NSDstat The file contains data related to questions 15-17 in section A of "Unexpected events" (Farm events). 33 12 Nesstar 200801 Version 1.0, converted from wide to long format. shocks_a19.NSDstat The file contains data related to questions 19-21 in section A of "Unexpected events" (Farm events). 89 11 Nesstar 200801 Version 1.0, converted from wide to long format. shocks_a24.NSDstat The file contains data related to questions 24-25 in section A of "Unexpected events" (Farm events). 487 10 Nesstar 200801 Version 1.0, converted from wide to long format. shocks_a27.NSDstat The file contains data related to questions 27-28 in section A of "Unexpected events" (Farm events). 30 10 Nesstar 200801 Version 1.0, converted from wide to long format. shocks_b30.NSDstat The file contains data related to questions 30-31 in section B of "Unexpected events" (Home events). 96 10 Nesstar 200801 Version 1.0, converted from wide to long format. shocks_b33.NSDstat The file contains data related to questions 33-34 in section B of "Unexpected events" (Home events). 54 10 Nesstar 200801 Version 1.0, converted from wide to long format. shocks_b36.NSDstat The file contains data related to questions 36-38 in section B of "Unexpected events" (Home events). 16 11 Nesstar 200801 Version 1.0, converted from wide to long format. shocks_b40.NSDstat The file contains data related to questions 40-42 in section C of "Unexpected events" (Home events). 175 11 Nesstar 200801 Version 1.0, converted from wide to long format. shocks_c44.NSDstat The file contains data related to questions 45-47 in section B of "Unexpected events" (Employment events). 61 12 Nesstar 200801 Version 1.0, converted from wide to long format. shocks_c49.NSDstat The file contains data related to questions 49-50 in section C of "Unexpected events" (Employment events). 38 10 Nesstar 200801 Version 1.0, converted from wide to long format. shocks_c53.NSDstat The file contains data related to questions 53-55 in section C of "Unexpected events" (Employment events). 153 11 Nesstar 200801 Version 1.0, converted from wide to long format. transfers.NSDstat The file contains data related to "Transfers and credit" (Transfers and credit received, Transfers and credit sent, Savings, and Within household transfers), except for questions 3-14 and 16-18 in part A, questions 3-8 in part B, and questions 2-9 and 11-18 in part D. 1210 52 Nesstar 200801 Version 1.0, converted from wide to long format. transfers_a3.NSDstat The file contains data related to questions 3-8 in part A of "Transfers and credit" (Transfers and Credit Received). 875 13 Nesstar 200801 Version 1.0, converted from wide to long format. transfers_a9.NSDstat The file contains data related to questions 9-14 in part A of "Transfers and credit" (Transfers and Credit Received). 978 14 Nesstar 200801 Version 1.0, converted from wide to long format. transfers_a16.NSDstat The file contains data related to questions 16-18 in part A of "Transfers and credit" (Transfers and Credit Received). 85 10 Nesstar 200801 Version 1.0, converted from wide to long format. transfers_b3.NSDstat The file contains data related to questions 3-8 in part B of "Transfers and credit" (Transfers and Credit Sent). 1001 13 Nesstar 200801 Version 1.0, converted from wide to long format. transfers_d.NSDstat The file contains data related to questions 2-9 and 11-18 in part D of "Transfers and credit" (Within household transfers). 850 30 Nesstar 200801 Version 1.0, converted from wide to long format. timealloc.NSDstat The file contains data related to "Time allocation". 12300 21 Nesstar 200801 Version 1.0, converted from wide to long format. behavior.NSDstat The file contains data related to "Knowledge and behavior" (Knowledge, Behavior, Sexual history & behavior, and Attitudes regarding HIV/AIDS), except for questions 5-15 in sextion C. 1211 72 Nesstar 200801 Version 1.0, converted from wide to long format. behavior_c5.NSDstat The file contains data related to questions 5-15 in sextion C of "Knowledge and behavior" (Sexual history & behavior). 1047 22 Nesstar 200801 Version 1.0, converted from wide to long format. anthrop_a.NSDstat The file contains data related to section A of "Anthropometrics" (Child height and weight). 657 18 Nesstar 200801 Version 1.0, converted from wide to long format. anthrop_b.NSDstat The file contains data related to section B of "Anthropometrics" (Child vaccinations). 1553 48 Nesstar 200801 Version 1.0, converted from wide to long format. anthrop_c.NSDstat The file contains data related to section C of "Anthropometrics" (Growth history). 4915 11 Nesstar 200801 Version 1.0, converted from wide to long format. polygamoushh.NSDstat The file contains data related to "Polygamous household identification". 79 22 Nesstar 200801 Version 1.0, converted from wide to long format. youth.NSDstat The file contains data related to "Youth". 367 60 Nesstar 200801 Version 1.0, converted from wide to long format. Cover Sheet Household roster Individual Roster Education Health Food Consumption and Expenditures Non-food Family Expenses Education Expenditures Transfers and Credit Agricultural Activities Income and Activities Enterprises Time Allocation Unexpected Events Assets Knowledge and Behavior Anthropometrics Polygamous Household Identification Youth Children Living Elsewhere Household Members Education Recent Schooling Schooling for 2001 and 2002 Most Recent Illnesses Chronic Illnesses Health History Health Records Data Consumption from Home Production Purchased Foods (Seasonal and Non-Seasonal) Household Education Expenditures Education Scholarships Education Contributions from Within the Household Education Contributions from Outside the Household Education Expenditure History Transfers and Credit Received Transfers and Credit Sent Savings Within Household Transfers Land Crops Sales of Major Crops Farm Inputs Other Agricultural Information General Employment Information Wage Employment in the Past 7 Days Self-Employed Farming in the Past 7 Days Self-Employed Businesses in the Past 7 Days Main Job and Secondary Job in the Past 12 Months Non-Labor Income Non-Farm Self Employment Information Non-Farm Self Employment Income Farm Events Home Events Employment and Business Events Land Livestock Large Farm Equipment Small Farm Equipment Vehicles Durable Goods Land Sales Land Gifts to Others Land Purchases Livestock Sales Livestock Acquisitions Equipment Sales Equipment Acquisitions Vehicle Sales and Gifts Vehicle Acquisitions Knowledge Behavior Sexual History & Behavior Attitudes Regarding HIV/AIDS Child Height and Weight Child Vaccinations Growth History Household ID Household ID Number 1297 0 Household identification Respondent ID Respondent ID Number COPY FROM HOUSEHOLD ROSTER 1296 1 Household identification Round 1297 0 District District 1297 0 Household identification 1 Nandi 2 Uasin Gishu Division Division 1237 60 Household identification Location Location 1297 0 Household identification Sublocation Sublocation 1272 25 Household identification Village Village 1297 0 Household identification Respondent Name Respondent Name 1296 0 Household identification Household members Total Persons in Household 1294 3 1 17 6.152 2.826 Household identification Latitude(1) Latitude 1292 0 Geographical coordinates of household (GPS reference) Latitude(2) Latitude 1151 0 Geographical coordinates of household (GPS reference) Latitude(3) Latitude 1151 0 Geographical coordinates of household (GPS reference) Longitude(1) Longitude 1292 0 Geographical coordinates of household (GPS reference) Longitude(2) Longitude 1151 0 Geographical coordinates of household (GPS reference) Longitude(3) Longitude 1151 0 Geographical coordinates of household (GPS reference) Day of interview Date (DD/MM/YYYY) 1297 0 Interviewer visits Month of interview Date (DD/MM/YYYY) 1297 0 Interviewer visits Year of interview Date (DD/MM/YYYY) 1297 0 Interviewer visits Interviewer number Interviewer’s Code 1297 0 Interviewer visits Household result Result Code 1297 0 Interviewer visits 1 Completed 1218 2 Designated Respondent not Present 52 3 No Household Member/Competent Respondent at Home 1 4 Entire Household Absent for Extended Period of Time 0 5 Postponed 0 6 Refused 6 7 Dwelling Vacant 0 8 Dwelling Not Found 0 9 Other (specify) 20 Main language of interview Main Language of Interview 1232 65 Interviewer visits 1 Kiswahili 921 2 Nandi 218 3 English 66 4 Other (specify) 9 8 18 Sysmiss 65 Supervisor Supervisor Code 1293 4 Data entry clerk Data Entry Code 1297 0 Household ID Household ID You should treat multiple households in the same compound separately – particularly when the households cook separately. 9711 0 Household members are defined as people who reside together and take their meals together for at least 3 of the past 12 months. The only people you should include who have been there for less than 3 months are infants, people who spend most of the year in an institution (for example students, soldiers, prisoners) and newly added spouses. The head is always a member. (Deceased members should not be included here, there is a separate section of the survey for them). Respondent ID ID Code of Respondent The questionnaire should be administered to the primary female respondent. Even if you are assigned to interview the primary male respondent, you should first complete this module with the primary female respondent. 9711 0 Number of children who have not lived in household 6011 3700 ID code ID Code 9703 8 Name of household member NAME 7416 0 Sex Sex of [NAME] Write the sex of each person using the codes given (1 for Male, 2 for Female). 7416 2295 1 Male 3717 2 Female 3699 Sysmiss 2295 Relationship to household head Relationship of [NAME] to Head 7416 0 RELATIONSHIP CODES (for in-laws, add “A” -- e.g. son in-law is 3A) Relationship to household head Relationship of [NAME] to Head 7416 2295 1 Self 1219 2 Spouse 961 3 Son 2136 4 Daughter 1920 5 Father 6 6 Mother 40 7 Grandson 360 8 Granddaughter 282 9 Grandfather 0 10 Grandmother 3 11 Brother 33 12 Sister 24 13 Uncle 4 14 Aunt 3 15 Co-wife 0 16 Cousin 24 17 Niece 80 18 Nephew 84 19 Stepchild 52 20 Foster child 22 30 Local Friend/Neighbor 8 31 Non-resident Friend 0 32 Village head 0 33 Lineage head 0 34 Househelper 24 35 Employee 34 36 Employer 1 37 Landlord 0 38 Tenant/Renter 0 39 Priest 0 40 Trader 0 41 Other (specify) 19 98 2 99 Don’t Know 0 301 Son-in-law 0 401 Daughter-in-law 21 501 Father-in-law 0 601 Mother-in-law 3 901 Grandfather-in-law 0 1001 Grandmother-in-law 1 1101 Brother-in-law 8 1201 Sister-in-law 42 Sysmiss 2295 This variable is obtained by destringing qh04. For in-laws, "A" is recoded as "01"-- e.g. son in-law is 301, where it is 3A in qh04. Month of birth Date of Birth. Month. 7416 2295 Year of birth Date of Birth. Year. 7416 2295 Age - Years Current Age. Years 7416 2295 0 99 22.774 18.572 Age - Months Current Age. Months 1180 8531 0 99 9.136 18.616 Marital status If age<12 > go to 10 Current Marital Status If answer is 3,4,5 or 6 > Go to 10 (qh10 - variable name in dataset). 5067 4644 1 Married 1960 2 Cohabitating 22 3 Divorced 27 4 Separated 90 5 Widowed 209 6 Never married 2739 8 20 Sysmiss 4644 Partner lives in household Partner of [NAME] lives in household? If answer is 2 > Go to 10 (qh10 - variable name in dataset). 1998 7713 1 Yes 1924 2 No 56 8 18 Sysmiss 7713 Code of partner ID Code of partner From ID Code. 1944 7767 Months away in last 12 months How many months was NAME away in last 12 months? 7416 2295 0 98 1.159 5.653 Code of father ID Code of biological father 7414 2297 88 Not resident 98 Deceased Code of mother ID Code of biological mother 7414 2297 88 Not resident 98 Deceased Have children who have not lived in household for at least 3 Do you or your spouse have children of any age that have not lived here for at least 3 months in the last year? If answer is 2 > Go to next module. 2203 7508 This section should list children of any household member who currently reside elsewhere. This includes children of the head and his spouse(s) but also children of other household members. 1 Yes 2197 2 No 6 Sysmiss 7508 ID code ID Code 2203 7508 ID code ID Code Write the ID code of each person (continuing from the last number in Section 1 of the household roster). 2195 7516 Name Name 2196 0 Sex Sex 2196 7515 1 Male 948 2 Female 1248 Sysmiss 7515 Age Age (yrs) 2196 7515 1 99 30.419 11.004 Father alive Is biological father of NAME alive? If answer is 2 > Go to 8 (qc8 - variable name in dataset). 2196 7515 1 Yes 1867 2 No 329 Sysmiss 7515 ID code of father ID Code of father From section 1. 1867 7844 88 Not resident Mother alive Is biological mother of NAME alive? If answer is 2 > Go to 10 (qc10 - variable name in dataset). 2196 7515 1 Yes 2044 2 No 152 Sysmiss 7515 ID code of mother ID Code of mother From section 1. 2044 7667 88 Not resident Currently in school Is [NAME] currently in school? You should ask if the child is currently in school - whether part-time or full-time. 2196 7515 1 Yes 308 2 No 1888 Sysmiss 7515 Highest grade completed - Level What is the highest grade that [NAME] has completed? Level 2196 7515 0 1 1 Nursery 31 2 Primary 1236 3 Secondary 686 4 Post-sec. 192 7 1 8 1 98 Never attended school 44 99 4 Sysmiss 7515 Highest grade completed - Number of years What is the highest grade that [NAME] has completed? Number of years. 2191 7520 0 6 1 96 2 222 3 142 4 610 5 120 6 211 7 414 8 327 98 Never attended school 43 Sysmiss 7520 Where is name living Where is [NAME] living? 2196 7515 1 This village 544 2 This location 252 3 Kosirai Division 243 4 Nandi District (inc. Kapsabet) 388 5 Uasin-Gishu District (exc. Eldoret) 314 6 Eldoret 117 7 Kakamega 13 8 Kitale 65 9 Kisumu 34 10 Nakuru 29 11 Nairobi 57 12 Other urban area 82 13 Other rural area 26 14 Outside Kenya 23 98 9 Sysmiss 7515 Current employment status What is [NAME’s] current employment status? 2196 7515 0 Not working 981 1 Houseboy/girl 14 2 Working for government 278 3 Working for private firm /small business 217 4 Self employed in business 180 5 Farmer 506 7 Other (specify) 16 9 4 Sysmiss 7515 Why living elsewhere Why is [NAME] living elsewhere? 2196 7515 1 Schooling 89 2 Married 1560 3 For medical care 0 4 Others better able to care for him/her 17 5 Parents too sick to care for him/her 7 6 Living with parent who has custody 103 7 Living with grandparents 71 8 Other (specify) 347 9 2 Sysmiss 7515 Individual roster done 2193 0 1 Yes 2193 2 No 0 Household ID Household ID 2193 0 Respondent ID Respondent ID 2193 0 Respondent name Respondent Name 2183 0 IRID members 2193 0 IRID code IRID Code 2193 0 IRID code IRID Code 2193 0 Name of individual Name of Individual 2193 0 Gender Gender 2193 0 1 Male 1008 2 Female 1184 8 1 Occupation What is this person’s occupation? 2193 0 1 Crop farmer 667 2 Animal farmer 28 3 Housewife 637 4 Trader/merchant/salesperson 196 5 Transport worker 35 6 Construction worker 10 7 Teacher/education professional 90 8 Health professional/TBA/trad. Healer 39 9 Secretary/clerical 11 10 Factory worker 12 11 Restaurant/bar/hotel 15 12 Skilled trades (carpenter, tailor, etc.) 23 13 Preacher/pastor 20 14 Village elder 10 15 Domestic worker 8 16 Civil Servant/Government 158 17 Other (specify) 39 88 No activity/unemployed 193 98 2 99 Don’t Know 0 Part of a sample household (HH #) If this person is part of a sample household: HH No. 2187 6 Part of a sample household (HH ID) If this person is part of a sample household: HHID 2187 6 How related to you How is this person related to you? 2193 0 How related to you How is this person related to you? 2193 0 1 Self 0 2 Spouse 12 3 Son 4 4 Daughter 1 5 Father 54 6 Mother 113 7 Grandson 10 8 Granddaughter 10 9 Grandfather 2 10 Grandmother 2 11 Brother 192 12 Sister 155 13 Uncle 51 14 Aunt 47 15 Co-wife 23 16 Cousin 90 17 Niece 29 18 Nephew 35 19 Stepchild 3 20 Foster child 0 30 Local Friend/Neighbor 835 31 Non-resident Friend 43 32 Village head 9 33 Lineage head 4 34 Househelper 2 35 Employee 4 36 Employer 5 37 Landlord 0 38 Tenant/Renter 0 39 Priest 7 40 Trader 1 41 Other (specify) 166 45 1 98 2 99 Don’t Know 1 301 Son-in-law 7 401 Daughter-in-law 25 501 Father-in-law 12 601 Mother-in-law 55 901 Grandfather-in-law 1 1001 Grandmother-in-law 1 1101 Brother-in-law 95 1201 Sister-in-law 84 This variable is obtained by destringing irid06. For in-laws, "A" is recoded as "01"-- e.g. son in-law is 301, where it is 3A in irid06. How long known person How long have you known this person? [Number of years] 2193 0 0 98 19.559 13.783 How met this person How did you first meet this person? 2193 0 1 through spouse/spouse’s family 454 2 through family 1015 3 through friend 349 4 through work 156 5 through church 121 6 through school 52 7 through bar/nightclub 14 8 through health facility 15 9 through group/organization (specify) 9 10 other (specify) 7 98 1 How often talk to this person How often do you talk to this person? 2193 0 1 daily 829 2 twice a week 208 3 once a week 341 4 every two weeks 124 5 once a month 332 6 every three months 173 7 every six months 64 8 once a year 96 9 less than once a year 18 10 dead 7 98 1 Where this person lives Where does this person live? 2193 0 1 This village 1214 2 This location 226 3 Kosirai Division 165 4 Nandi District (inc. Kapsabet) 219 5 Uasin-Gishu District (exc. Eldoret) 144 6 Eldoret 63 7 Kakamega 12 8 Kitale 35 9 Kisumu 14 10 Nakuru 10 11 Nairobi 35 12 Other urban area 23 13 Other rural area 21 14 Outside Kenya 7 23 1 98 1 99 3 Education module done 4223 0 1 Yes 4223 2 No 0 Household ID Household ID 4223 0 Respondent ID Respondent ID 4223 0 Day of interview Date of Interview. Day. 4223 0 Month of interview Date of Interview. Month. 4223 0 Year of interview Date of Interview. Year. 4223 0 Members 6 years & above 4223 0 Number attended school (SEC 2) 4223 0 Number attended school (SEC 3) 4217 6 ID codes of all household members older than 6 year ID Codes of all household members older than 6 years, from Sec. 1 of Household Roster All individuals in Section 1 of the household roster that are 6 years and older 4222 1 Members ID above 6 years primary female respondent ID Codes of all household members older than 6 years, from Sec. 1 of Household Roster All individuals in Section 1 of the household roster that are 6 years and older 4223 0 Has ever attended school primary female respondent Has [NAME] ever attended or is he/she attending a school? If answer is 2 > Go to 4 (qed04 - variable name in dataset). All individuals in Section 1 of the household roster that are 6 years and older 4222 1 1 Yes 3969 2 No 251 8 2 Sysmiss 1 Highest grade completed - Level primary female respondent What is the highest grade that [NAME] has completed? Level. If answer is 3 or 4 > Go to 7 (qed07 - variable name in dataset). All individuals in Section 1 of the household roster that are 6 years and older 3969 254 1 Nursery 390 2 Primary 2606 3 Secondary 892 4 Post-sec. 81 Sysmiss 254 Highest grade completed - Years primary female respondent What is the highest grade that [NAME] has completed? Number of years. All individuals in Section 1 of the household roster that are 6 years and older 3969 254 Can read a newspaper primary female respondent Can [NAME] read a newspaper? All individuals in Section 1 of the household roster that are 6 years and older 3250 973 1 Yes 2051 2 No 1185 8 14 Sysmiss 973 Can write a letter primary female respondent Can [NAME] write a letter? All individuals in Section 1 of the household roster that are 6 years and older 3250 973 1 Yes 2105 2 No 1131 8 14 Sysmiss 973 Can do mathematical calculations primary female respondent Can [NAME] do mathematical calculations (either mental or written)? All individuals in Section 1 of the household roster that are 6 years and older 3250 973 1 Yes 2878 2 No 355 8 17 Sysmiss 973 Has had any technical or professional training primary female respondent In addition has [NAME] had any technical or professional training? If answe is 4 > Go to next person. All individuals in Section 1 of the household roster that are 6 years and older 4222 1 1 Technical 148 2 Professional 267 3 On-the-job 21 4 No 3778 8 8 Sysmiss 1 How many years of additional training - Year primary female respondent How many years of additional training? Years. Enter years if more than 1 year, months otherwise. All individuals in Section 1 of the household roster that are 6 years and older 444 3779 0 99 15.894 34.377 How many months of additional training - Months primary female respondent How many years of additional training? Months. Enter years if more than 1 year, months otherwise. All individuals in Section 1 of the household roster that are 6 years and older 443 3780 0 99 45.314 47.051 Age 6-25 primary female respondent Copy the ID Code for all those individuals who have ever attended school (from question 2 in Section I) and are between the ages of 6 and 25 ID All those individuals who have ever attended school (from question 2 in Section I) and are between the ages of 6 and 25 2568 1655 ID code primary female respondent Copy the ID Code for all those individuals who have ever attended school (from question 2 in Section I) and are between the ages of 6 and 25 ID Refer to the household roster and the answer to question 2 in Section I (about having ever attended school or currently being in school) and then copy down the ID codes of all individuals whose ages are between the ages of 6 and 25 years and for whom the answer to question 2 is “Yes”. All those individuals who have ever attended school (from question 2 in Section I) and are between the ages of 6 and 25 2568 1655 Still attending school or educational institution primary female respondent Is [NAME] still attending a school or an educational institution? If answer is 2 > Go to 14 (qed14 - variable name in dataset). All those individuals who have ever attended school (from question 2 in Section I) and are between the ages of 6 and 25 2568 1655 1 Yes 1965 2 No 603 Sysmiss 1655 What kind of school/educational institution primary female respondent What kind of school/educational institution is [NAME] currently attending? All those individuals who have ever attended school (from question 2 in Section I) and are between the ages of 6 and 25 1965 2258 1 Public/gov’t. 1730 2 Private 183 3 Religious/mission 48 8 4 Sysmiss 2258 Hours actually spend in school last week in total primary female respondent How many hours did [NAME] actually spend in school last week in total? All those individuals who have ever attended school (from question 2 in Section I) and are between the ages of 6 and 25 1963 2260 0 99 28.134 20.922 Is this # of hours usually spend at school during a week primary female respondent Is this the number of hours that [NAME] usually spends at school during a week? If answer is 1 > Go to 15 (qed15 - variable name in dataset). All those individuals who have ever attended school (from question 2 in Section I) and are between the ages of 6 and 25 1960 2263 1 Yes 1229 2 No 724 8 4 9 3 Sysmiss 2263 Why did not attend school for normal hours last week primary female respondent Why did [NAME] not attend school for the normal hours last week? Go to 15 (qed15 - variable name in dataset). All those individuals who have ever attended school (from question 2 in Section I) and are between the ages of 6 and 25 729 3494 1 Own illness 37 2 Caring for sick family member 4 3 Working at home 7 4 Working outside home 0 5 Holiday(s) 621 6 Funeral/mourning 5 7 Non-payment of fees 19 8 Teacher missing 0 9 Other (specify) 31 98 4 99 1 Sysmiss 3494 Attended school at all since January 2003 primary female respondent Has [NAME] attended school at all since January 2003 (i.e. first term of 2003)? If answer is 2 > Go to next person. All those individuals who have ever attended school (from question 2 in Section I) and are between the ages of 6 and 25 615 3608 1 Yes 125 2 No 480 8 10 Sysmiss 3608 How far is school - Distance primary female respondent How far is [NAME’s] school from here? Distance. All those individuals who have ever attended school (from question 2 in Section I) and are between the ages of 6 and 25 2074 2149 1 999 89.426 202.726 How far is school - Distance code primary female respondent How far is [NAME's] school from here? Distance Code. All those individuals who have ever attended school (from question 2 in Section I) and are between the ages of 6 and 25 2074 2149 1 Meter 302 2 Kilometer 1758 3 Mile 6 8 8 Sysmiss 2149 Does name live in household while attending school primary female respondent Does [NAME] live in this household while attending school? If answer is 2 > Go to next person. All those individuals who have ever attended school (from question 2 in Section I) and are between the ages of 6 and 25 2074 2149 1 Yes 1688 2 No 379 8 7 Sysmiss 2149 How normally travle to school primary female respondent How does [NAME] normally travel to school? Ask about the main form of transport to the school, that is, the one most often used or the one that covers most of the journey. All those individuals who have ever attended school (from question 2 in Section I) and are between the ages of 6 and 25 1688 2535 1 On foot 1620 2 Bicycle 23 3 Car 24 4 Bus/matatu 16 5 Other 0 8 5 Sysmiss 2535 How long does it take to get to school, one way - Hours primary female respondent How long does it take [NAME] to get to school , one way? Hours. All those individuals who have ever attended school (from question 2 in Section I) and are between the ages of 6 and 25 1688 2535 0 99 56.901 48.311 How long does it take to get to school, one way - Minutes primary female respondent How long does it take [NAME] to get to school , one way? Min. All those individuals who have ever attended school (from question 2 in Section I) and are between the ages of 6 and 25 1688 2535 0 99 21.526 16.991 Members schooling in 2001 & 2002 primary female respondent Copy the ID Code for all those individuals who have ever attended school (from question 2 in Section I) and are between the ages of 6 and 25. You should just copy down the same ID codes that are on Section II. 2562 1661 ID code primary female respondent ID All those individuals who have ever attended school (from question 2 in Section I) and are between the ages of 6 and 25 2562 1661 Has attended school in the last three years primary female respondent Has [NAME] attended school at any time in the last 3 years? If answer is 2 > Go to next person. All those individuals who have ever attended school (from question 2 in Section I) and are between the ages of 6 and 25 2562 1661 1 Yes 2178 2 No 384 Sysmiss 1661 Was in school during 2002 primary female respondent Was [NAME] in school during 2002? If answer is 2 > Go to 23 (qed23 - variable name in dataset). Ask the respondent if the person attended any school (for even a short duration) during 2002 and 2001. All those individuals who have ever attended school (from question 2 in Section I) and are between the ages of 6 and 25 2178 2045 1 Yes 1892 2 No 286 Sysmiss 2045 Did attend for the full year primary female respondent Did [NAME] attend for the full year? If answer is 1 > Go to 24 (qed24 - variable name in dataset). All those individuals who have ever attended school (from question 2 in Section I) and are between the ages of 6 and 25 1892 2331 1 Yes 1776 2 No 110 9 6 Sysmiss 2331 How much school did miss primary female respondent How much school did [NAME] miss? All those individuals who have ever attended school (from question 2 in Section I) and are between the ages of 6 and 25 110 4113 1 Less than one term 84 2 One term 12 3 Two terms 14 4 Three terms 0 Sysmiss 4113 What was main reason why missed school primary female respondent What was the main reason why [NAME] missed school? All those individuals who have ever attended school (from question 2 in Section I) and are between the ages of 6 and 25 396 3827 1 Own illness 55 2 Caring for a sick family member 6 3 Working 2 4 Insufficient funds 79 5 Fostered out 1 6 School was closed 1 7 Other (specify) 248 8 4 Sysmiss 3827 Was in school during 2001 primary female respondent Was [NAME] in school during 2001? If answer is 2 > Go to 27 (qed27 - variable name in dataset). Ask the respondent if the person attended any school (for even a short duration) during 2002 and 2001. All those individuals who have ever attended school (from question 2 in Section I) and are between the ages of 6 and 25 2176 2047 1 Yes 1815 2 No 360 8 1 Sysmiss 2047 Did attend for the full year primary female respondent Did [NAME] attend for the full year? If answer is 1 > Go to next person. All those individuals who have ever attended school (from question 2 in Section I) and are between the ages of 6 and 25 1815 2408 1 Yes 1751 2 No 50 8 10 9 4 Sysmiss 2408 How much school did miss primary female respondent How much school did [NAME] miss? All those individuals who have ever attended school (from question 2 in Section I) and are between the ages of 6 and 25 64 4159 1 Less than one term 33 2 One term 9 3 Two terms 7 4 Three terms 0 8 15 Sysmiss 4159 What was main reason why missed school primary female respondent What was the main reason why [NAME] missed school? All those individuals who have ever attended school (from question 2 in Section I) and are between the ages of 6 and 25 425 3798 1 Own illness 27 2 Caring for a sick family member 1 3 Working 0 4 Insufficient funds 49 5 Fostered out 0 6 School was closed 2 7 Other (specify) 327 8 19 Sysmiss 3798 Education expenditure module 2752 0 1 Yes 2752 2 No 0 Household ID Household ID 2752 0 Respondent ID Respondent ID 2752 0 Day of interview Date of Interview. Day. 2752 0 Month of interview Date of Interview. Month. 2752 0 Year of interview Date of Interview. Year. 2752 0 Children in school 2752 0 Count 2751 1 Number Primary female respondent Children who were in school during the past 18 months (including those that are not household members). 2290 462 ID Code Primary female respondent First, ask the respondent which of her children were in school during the past 18 months (including those that are not household members). Write the ID numbers for these children (from the Household Roster, Section 1 or 2) in the ID column below. ID code of child Children who were in school during the past 18 months (including those that are not household members). 2752 0 Total expenditure in 1st term 2003 Primary female respondent Total expenses of you and your spouse on [NAME’s] education, in each term since January 2003. 1st Term 2003. Children who were in school during the past 18 months (including those that are not household members). 2290 462 0 99999 2722.94 7231.287 1st term 2003 (January-April) Total expenditure in 2nd term 2003 Primary female respondent Total expenses of you and your spouse on [NAME's] education, in each term since January 2003. 2nd Term 2003. Children who were in school during the past 18 months (including those that are not household members). 2290 462 0 99999 1630.481 5454.557 2nd term 2003 (May-August) Total expenditure in 3rd term 2003 Primary female respondent Total expenses of you and your spouse on [NAME's] education, in each term since January 2003. 3rd Term 2003. Children who were in school during the past 18 months (including those that are not household members). 2290 462 0 99999 1256.225 4570.349 3rd term 2003 (September-November) Total expenditure in 1st term 2004 Primary female respondent Total expenses of you and your spouse on [NAME's] education, in each term since January 2003. 1st Term 2004. Children who were in school during the past 18 months (including those that are not household members). 2290 462 0 99999 2558.136 6786.012 1st term 2004 (January-April) Number Primary female respondent All children who were in school during the past 18 months. 2290 462 ID Code Primary female respondent ID Copy the ID codes of all children that you asked about in the last page. All children who were in school during the past 18 months. 2290 462 Received a scholarship Primary female respondent Did [NAME] receive a scholarship from an organization or any in-kind support (e.g. free food at school, free uniforms) for any part of his/her school expenses since January 2003? If answer is 2 > Go to next ID. All children who were in school during the past 18 months. 2290 462 1 Yes 90 2 No 2195 8 3 9 2 Sysmiss 462 Amount of support received 1st term 2003 Primary female respondent 1ST Term 2003. Amount of support that [NAME] received (KSh). All children who were in school during the past 18 months. 90 2662 0 65000 4697.767 11086.769 Supporting institution 1st term 2003 Primary female respondent 1ST Term 2003. Supporting institution. If more than one, use main contributor. Use the codes that are listed for supporting institutions. All children who were in school during the past 18 months. 80 2672 1 cooperative union 0 2 school 0 3 community funds 9 4 church/religious group 6 5 government 58 6 other private organization/group (specify) 3 7 other (specify) 0 8 4 Sysmiss 2672 Why scholarship was given (1st term 2003) Primary female respondent What was the reason why the scholarship was given? All children who were in school during the past 18 months. 80 2672 1 Family unable to pay 22 2 Merit/competition 1 3 School program/charity 48 4 Other (specify) 5 8 4 Sysmiss 2672 Amount of support received 2nd term 2003 Primary female respondent 2ND Term 2003. Amount of support that [NAME] received (KSh). All children who were in school during the past 18 months. 90 2662 0 65000 3295.578 10191.72 Supporting institution 2nd term 2003 Primary female respondent If more than one, use main contributor. Use the codes that are listed for supporting institutions. All children who were in school during the past 18 months. 63 2689 1 cooperative union 0 2 school 1 3 community funds 3 4 church/religious group 6 5 government 45 6 other private organization/group (specify) 3 7 other (specify) 0 8 5 Sysmiss 2689 Why scholarship was given (2nd term 2003) Primary female respondent 2ND Term 2003. What was the reason why the scholarship was given? All children who were in school during the past 18 months. 63 2689 1 Family unable to pay 15 2 Merit/competition 1 3 School program/charity 38 4 Other (specify) 4 8 5 Sysmiss 2689 Amount of support received 3rd term 2003 Primary female respondent 3RD Term 2003. Amount of support that [NAME] received (KSh). All children who were in school during the past 18 months. 90 2662 0 50000 1554.556 5717.661 Supporting institution 3rd term 2003 Primary female respondent 3RD Term 2003. Supporting institution. If more than one, use main contributor. Use the codes that are listed for supporting institutions. All children who were in school during the past 18 months. 59 2693 1 cooperative union 0 2 school 0 3 community funds 2 4 church/religious group 6 5 government 42 6 other private organization/group (specify) 3 7 other (specify) 0 8 6 Sysmiss 2693 Why scholarship was given (3rd term 2003) Primary female respondent 3RD Term 2003. What was the reason why the scholarship was given? All children who were in school during the past 18 months. 59 2693 1 Family unable to pay 13 2 Merit/competition 0 3 School program/charity 38 4 Other (specify) 2 8 6 Sysmiss 2693 Amount of support received 1st term 2004 Primary female respondent 1ST Term 2004. Amount of support that [NAME] received (KSh). All children who were in school during the past 18 months. 90 2662 0 75000 3525.133 10987.194 Supporting institution 1st term 2004 Primary female respondent 1ST Term 2004. Supporting institution. If more than one, use main contributor. Use the codes that are listed for supporting institutions. All children who were in school during the past 18 months. 66 2686 1 cooperative union 0 2 school 2 3 community funds 1 4 church/religious group 6 5 government 54 6 other private organization/group (specify) 3 7 other (specify) 0 Sysmiss 2686 Why scholarship was given (1st term 2004) Primary female respondent 1ST Term 2004. What was the reason why the scholarship was given? All children who were in school during the past 18 months. 66 2686 1 Family unable to pay 14 2 Merit/competition 2 3 School program/charity 47 4 Other (specify) 3 Sysmiss 2686 ID code Primary female respondent All children who were in school during the past 18 months. 2290 462 ID code Primary female respondent ID Copy the ID codes of all children that you asked about in the last page. All children who were in school during the past 18 months. 2291 461 Anyone else contributed towards education since Jan 2003 Primary female respondent Has anyone else in your household (except your spouse) contributed towards the education of [NAME] since January 2003? If answer is 2 > Go to next ID. All children who were in school during the past 18 months. 2291 461 1 Yes 106 2 No 2178 8 5 9 2 Sysmiss 461 What was the amount received (1st term 2003) Primary female respondent 1ST Term 2003. What was the amount of support that [NAME] received from this person? (KSh) All children who were in school during the past 18 months. 106 2646 0 100000 2170.906 10121.638 Who was the main contributor (1st term 2003) Primary female respondent Who was the main contributor? Enter HHID of the main contributor. All children who were in school during the past 18 months. 96 2656 What was the amount received (2nd term 2003) Primary female respondent 2ND Term 2003. What was the amount of support that [NAME] received from this person? (KSh) All children who were in school during the past 18 months. 106 2646 0 10000 819.538 1894.923 Who was the main contributor (2nd term 2003) Primary female respondent 2ND Term 2003. Who was the main contributor? Enter HHID of the main contributor. All children who were in school during the past 18 months. 82 2670 What was the amount received (3rd term 2003) Primary female respondent 3RD Term 2003. What was the amount of support that [NAME] received from this person? (KSh) All children who were in school during the past 18 months. 106 2646 0 100000 1462.132 9728.62 Who was the main contributor (3rd term 2003) Primary female respondent 3RD Term 2003. Who was the main contributor? Enter HHID of the main contributor. All children who were in school during the past 18 months. 79 2673 What was the amount received (1st term 2004) Primary female respondent 1ST Term 2004. What was the amount of support that [NAME] received from this person? (KSh) All children who were in school during the past 18 months. 106 2646 0 37000 1376.377 4746.332 Who was the main contributor (1st term 2004) Primary female respondent 1ST Term 2004. Who was the main contributor? Enter HHID of the main contributor. All children who were in school during the past 18 months. 84 2668 ID code Primary female respondent ID All children who were in school during the past 18 months. 2290 462 ID code Primary female respondent ID Copy the ID codes of all children that you asked about in the last page. All children who were in school during the past 18 months. 2290 462 Anyone else contributed towards education since Jan 2003 Primary female respondent Has any person outside of your household contributed towards the education of [NAME] since January 2003? If answer is 2 > Go to next ID. All children who were in school during the past 18 months. 2290 462 1 Yes 206 2 No 2069 8 15 Sysmiss 462 What was the amount received (1st term 2003) Primary female respondent 1ST Term 2003. What was the amount of support that [NAME] received from this person? (KSh) All children who were in school during the past 18 months. 206 2546 0 50000 2358.146 6095.923 Who was the main contributor (1st term 2003) Primary female respondent 1ST Term 2003. Who was the main contributor? Enter IRID of the main contributor. All children who were in school during the past 18 months. 162 0 What was the amount received (2nd term 2003) Primary female respondent 2ND Term 2003. What was the amount of support that [NAME] received from this person? (KSh) All children who were in school during the past 18 months. 206 2546 0 50000 1468.102 4597.411 Who was the main contributor (2nd term 2003) Primary female respondent 2ND Term 2003. Who was the main contributor? Enter IRID of the main contributor. All children who were in school during the past 18 months. 139 0 What was the amount received (3rd term 2003) Primary female respondent 3RD Term 2003. What was the amount of support that [NAME] received from this person? (KSh) All children who were in school during the past 18 months. 206 2546 0 12000 896.102 1989.087 Who was the main contributor (3rd term 2003) Primary female respondent 3RD Term 2003. Who was the main contributor? Enter IRID of the main contributor. All children who were in school during the past 18 months. 136 0 What was the amount received (1st term 2004) Primary female respondent 1ST Term 2004. What was the amount of support that [NAME] received from this person? (KSh) All children who were in school during the past 18 months. 206 2546 0 80400 3001.558 8003.857 Who was the main contributor (1st term 2004) Primary female respondent 1ST Term 2004. Who was the main contributor? Enter IRID of the main contributor. All children who were in school during the past 18 months. 151 0 ID Code Primary female respondent ID Code All children in the household that are older than 6 years. 2587 165 ID Code Primary female respondent ID Code All children in the household that are older than 6 years. 2587 165 Child in school in 2002 Primary female respondent Was this child in school at all during 2002? If answer is 2 > Go to next ID. All children in the household that are older than 6 years. 2587 165 1 Yes 2012 2 No 574 8 1 Sysmiss 165 How much spend in total Primary female respondent How much did you and your spouse spend in total on this child’s education? All children in the household that are older than 6 years. 2012 0 How much spend in total Primary female respondent How much did you and your spouse spend in total on this child's education? All children in the household that are older than 6 years. 2012 740 99999996 same as 2003 99999997 less than 2003 99999998 more than 2003 99999999 Don’t know How much paid by scholarship Primary female respondent How much in total was paid by a scholarship or any in-kind support (e.g. free food at school, free uniforms)? All children in the household that are older than 6 years. 2012 740 0 150000 204.901 3781.662 How much contributed by other members Primary female respondent How much in total was contributed by other members of your household, except your spouse? All children in the household that are older than 6 years. 2001 0 How much contributed by other members Primary female respondent How much in total was contributed by other members of your household, except your spouse? All children in the household that are older than 6 years. 2001 751 99999996 same as 2003 99999997 less than 2003 99999998 more than 2003 99999999 Don’t know Who was main contributor Primary female respondent Who was the main contributor within the household (other than your spouse)? HHID All children in the household that are older than 6 years. 81 2671 How much was contributed by individuals Primary female respondent How much in total was contributed by individuals outside of your household? All children in the household that are older than 6 years. 1994 0 How much was contributed by individuals Primary female respondent How much in total was contributed by individuals outside of your household? All children in the household that are older than 6 years. 1994 758 99999996 same as 2003 99999997 less than 2003 99999998 more than 2003 99999999 Don’t know Who was the main contribtor Primary female respondent Who was the main contributor outside of your household? IRID All children in the household that are older than 6 years. 129 0 ID Code Primary female respondent ID All children in the household that are older than 6 years. 2586 166 ID Code Primary female respondent ID All children in the household that are older than 6 years. 2587 165 Child in school in 2001 Primary female respondent Was this child in school at all during 2001? If answer is 2 > Go to next ID. All children in the household that are older than 6 years. 2587 165 1 Yes 1926 2 No 660 8 1 Sysmiss 165 How much spend in total Primary female respondent How much did you and your spouse spend in total on this child’s education? All children in the household that are older than 6 years. 1926 0 How much spend in total Primary female respondent How much did you and your spouse spend in total on this child's education? All children in the household that are older than 6 years. 1926 826 99999996 same as 2003 99999997 less than 2003 99999998 more than 2003 99999999 Don’t know How much paid by scholarship Primary female respondent How much in total was paid by a scholarship or any in-kind support (e.g. free food at school, free uniforms)? All children in the household that are older than 6 years. 1926 826 0 42000 111.715 1645.644 How much contributed by other members Primary female respondent How much in total was contributed by other members of your household, except your spouse? All children in the household that are older than 6 years. 1911 0 How much contributed by other members Primary female respondent How much in total was contributed by other members of your household, except your spouse? All children in the household that are older than 6 years. 1911 841 99999996 same as 2003 99999997 less than 2003 99999998 more than 2003 99999999 Don’t know Who was main contributor Primary female respondent Who was the main contributor within the household (other than your spouse)? HHID All children in the household that are older than 6 years. 62 2690 How much was contributed by individuals Primary female respondent How much in total was contributed by individuals outside of your household? All children in the household that are older than 6 years. 1906 0 How much was contributed by individuals Primary female respondent How much in total was contributed by individuals outside of your household? All children in the household that are older than 6 years. 1906 846 99999996 same as 2003 99999997 less than 2003 99999998 more than 2003 99999999 Don’t know Who was the main contribtor Primary female respondent Who was the main contributor outside of your household? IRID. All children in the household that are older than 6 years. 122 0 Health Module 4788 0 1 Yes 4788 2 No 0 Household ID Household ID 4788 0 1 9694 875.188 1413.263 1 14 3 7 4 8 5 5 6 4 7 7 8 4 9 5 10 7 11 7 12 4 13 5 14 4 15 9 16 4 17 4 18 10 19 9 20 4 21 8 22 6 23 7 24 1 25 6 26 9 27 3 28 6 29 5 30 8 31 7 32 7 33 6 34 7 35 12 38 8 39 7 41 6 43 6 44 4 46 6 47 2 48 11 49 3 50 2 51 1 53 8 55 3 56 5 58 2 60 6 61 4 62 4 64 5 65 6 66 8 67 4 68 9 69 3 70 9 73 4 74 5 75 4 76 6 77 5 78 4 79 2 80 8 82 6 84 4 89 2 93 4 94 8 95 11 97 1 98 3 99 1 102 5 103 8 104 4 106 7 108 10 109 2 110 6 111 5 112 10 113 6 114 6 115 6 117 4 120 5 121 6 123 6 124 4 125 3 128 9 150 12 151 7 152 11 154 15 155 3 156 8 158 10 161 7 162 8 163 3 164 4 165 5 166 9 167 6 168 4 169 4 170 5 171 7 172 6 173 7 174 9 200 8 201 6 202 3 203 7 204 8 205 7 206 5 207 5 208 8 209 7 210 8 211 9 212 8 213 10 216 7 217 5 218 4 219 1 221 7 222 7 223 7 250 5 251 8 252 5 253 7 254 10 255 8 256 2 257 3 258 10 259 2 260 5 261 4 262 9 263 8 264 4 265 4 266 6 267 5 268 3 269 6 273 7 274 3 275 8 276 15 277 6 278 5 279 5 280 6 281 6 282 8 300 6 301 5 302 8 303 6 304 4 305 6 306 8 307 5 309 10 310 6 311 6 312 4 313 4 314 4 315 4 316 4 317 4 318 14 350 6 351 4 352 4 353 9 354 8 355 2 356 3 357 5 358 3 359 11 360 5 361 10 362 5 363 2 364 3 365 7 366 9 368 3 369 9 372 1 400 7 401 7 402 9 403 11 404 5 405 5 406 7 407 4 409 5 410 3 411 1 412 3 415 11 416 2 417 7 418 7 419 6 420 4 421 7 422 3 423 7 424 5 425 3 426 8 427 9 428 4 429 4 430 6 431 5 434 7 436 5 438 10 450 6 451 8 452 3 453 2 454 5 455 13 456 15 457 7 458 9 459 11 460 6 461 1 462 2 463 6 464 1 465 6 466 10 467 8 468 8 469 6 470 11 473 6 475 5 476 3 477 2 478 9 479 12 480 7 481 7 482 6 483 5 484 7 485 10 486 2 487 8 488 1 489 6 490 5 500 8 501 6 502 2 504 6 505 6 506 7 507 6 508 4 509 4 510 7 511 3 512 7 513 9 514 6 515 2 516 9 518 9 519 7 520 5 521 9 522 4 523 8 524 4 525 7 526 6 527 3 528 5 529 3 530 2 531 6 532 4 533 6 534 7 535 7 537 5 538 7 539 4 540 8 541 4 542 4 543 2 544 5 545 8 546 12 547 1 548 4 549 6 550 5 551 3 552 5 554 7 556 7 557 7 560 3 562 2 563 5 564 9 565 4 566 8 568 4 580 3 581 5 582 6 585 6 587 6 588 5 589 4 590 5 591 5 593 8 594 6 595 7 597 11 598 6 599 5 600 9 601 5 602 1 603 8 604 3 605 10 606 5 607 6 608 4 609 13 610 6 611 8 612 9 614 6 615 5 616 4 617 10 618 7 619 7 620 3 621 8 622 7 623 4 624 8 625 5 626 5 628 3 630 8 631 2 632 6 633 6 634 6 635 4 637 2 639 10 640 11 652 6 653 6 656 1 658 7 660 10 663 9 665 3 666 1 667 3 670 7 671 4 673 3 674 4 675 6 676 8 677 3 678 6 679 6 680 10 681 6 682 9 683 3 686 3 687 10 688 3 689 5 690 6 691 3 692 11 693 5 694 7 696 6 697 3 698 6 699 9 700 8 701 3 702 9 703 5 706 6 707 9 708 7 709 7 710 4 711 9 712 11 715 8 716 7 717 6 720 4 721 4 722 2 723 4 724 6 725 8 726 5 727 5 728 7 730 6 731 11 732 9 733 7 735 6 736 7 737 3 738 1 739 9 740 11 741 3 742 5 746 9 747 4 748 7 751 6 752 7 755 2 757 9 758 4 764 3 766 6 775 6 776 6 779 11 780 5 781 6 783 4 784 3 786 3 787 2 790 11 791 3 792 8 793 10 794 12 800 4 801 3 802 3 803 1 804 5 805 4 806 5 807 2 808 4 809 8 810 10 811 7 812 3 813 5 814 9 815 5 816 1 817 8 818 2 819 9 820 1 821 5 822 11 823 3 824 4 825 3 826 8 827 8 828 7 829 2 830 6 831 8 832 11 833 4 834 6 835 5 836 2 837 6 838 1 839 7 840 3 841 4 842 2 843 7 844 7 845 4 846 6 847 4 848 6 849 3 850 6 851 5 852 4 853 7 854 11 855 3 856 1 900 5 901 6 902 4 903 9 904 4 905 4 906 7 907 4 908 2 909 3 911 7 912 6 913 6 914 5 915 4 916 2 917 7 918 7 919 2 920 11 921 4 922 6 923 1 924 6 925 3 926 6 927 4 928 9 929 6 930 6 931 4 932 10 933 8 934 7 935 8 936 6 937 3 938 1 939 3 940 4 941 8 942 5 943 9 944 5 945 5 946 5 947 3 948 3 949 7 950 2 951 6 952 4 953 8 954 7 955 7 956 4 957 8 958 2 959 6 960 9 961 6 962 11 963 2 964 8 965 6 966 5 967 7 968 6 969 5 970 8 971 6 972 6 973 6 974 4 975 4 976 6 977 8 978 4 979 9 980 4 982 4 983 1 984 6 985 6 986 4 987 7 988 7 989 9 990 4 991 7 992 4 993 5 994 7 995 4 996 6 997 6 998 7 999 4 1000 10 1001 3 1002 3 1003 4 1004 8 1005 6 1006 2 1007 5 1008 4 1009 11 1010 4 1011 10 1012 8 1013 5 1014 5 1015 8 1016 3 1017 4 1018 4 1019 3 1020 1 1021 7 1022 4 1023 7 1024 3 1025 2 1026 4 1027 3 1028 5 1029 8 1030 1 1031 3 1100 4 1101 2 1102 10 1104 5 1105 13 1106 4 1107 5 1108 6 1109 3 1110 7 1111 1 1113 5 1114 1 1115 7 1116 8 1117 4 1118 5 1119 10 1120 8 1121 5 1122 3 1123 8 1124 6 1125 3 1126 8 1127 4 1129 7 1130 7 1131 5 1132 11 1133 8 1134 1 1136 13 1137 8 1138 4 1139 12 1141 4 1142 7 1143 10 1144 5 1145 10 1146 9 1150 6 1151 13 1152 8 1153 9 1154 7 1155 15 1156 4 1157 6 1158 4 1159 2 1160 4 1161 5 1167 4 1168 1 1169 3 1170 9 1171 8 1173 17 1200 2 1201 5 1202 7 1203 4 1204 5 1205 7 1206 6 1207 4 1208 6 1209 5 1210 3 1211 5 1212 6 1214 7 1215 8 1216 5 1218 2 1219 4 1220 3 1221 5 1223 3 1225 7 1227 8 1228 7 1229 4 1230 5 1231 9 1232 7 1234 8 1235 11 1236 4 1237 5 1239 6 1240 6 1241 3 1242 3 1243 1 1244 2 1245 6 1246 4 1247 9 1248 4 1249 7 1250 6 1251 8 1252 4 1253 4 1254 9 1255 8 1257 1 1259 8 1261 13 1263 7 1264 8 1265 11 1266 4 1269 7 1270 6 1271 2 1272 5 1273 4 1274 9 1275 9 1276 5 1277 7 1278 8 1279 4 1280 5 1282 7 1283 6 1284 5 1285 4 8043 9 9012 7 9019 4 9043 4 9134 6 9166 4 9210 8 9212 8 9216 5 9225 3 9240 3 9255 7 9265 6 9275 4 9280 5 9412 6 9518 8 9608 6 9616 3 9653 8 9667 5 9694 5 Respondent ID Respondent ID 4788 0 1 1352 2 3228 3 160 4 24 5 11 6 4 7 9 Day of interview Date of Interview. Day. 4788 0 1 31 16.062 8.703 1 73 2 145 3 144 4 179 5 181 6 158 7 178 8 160 9 167 10 158 11 112 12 135 13 167 14 180 15 167 16 209 17 118 18 123 19 186 20 182 21 161 22 204 23 108 24 90 25 135 26 205 27 143 28 226 29 149 30 176 31 69 Month of interview Date of Interview. Month. 4788 0 3 696 4 1256 5 856 6 795 7 893 8 292 Year of interview Date of Interview. Year. 4788 0 2004 4788 Count Section A 4788 0 Count Section B 4788 0 Count Section D 4788 0 ID Code Primary female respondent ID Code of Individual Copy from household roster. All household members. 4782 6 ID Code Primary female respondent ID Code of Individual Copy from household roster. All household members. 4787 1 Had any illness during past 4 weeks Primary female respondent During the past 4 weeks has [NAME] had any illness or injury, for example, have you had a cough, cold, diarrhea, an injury due to an accident or any other illness? If answer is 4 > Go to section B (hb01 - variable name in dataset). All household members. 4781 7 1 Yes, illness 1018 2 Yes, injury 38 3 Yes, illness and injury 2 4 No 3716 9 7 Sysmiss 7 How long ago did it start (Amount of time) Primary female respondent IF MORE THAN ONE, ASK ABOUT MOST RECENT ILLNESS or INJURY. All household members. 1058 3730 1 50 4.662 5.546 How long ago did it start (Time unit) Primary female respondent IF MORE THAN ONE, ASK ABOUT MOST RECENT ILLNESS or INJURY. All household members. 1058 3730 1 Minutes 0 2 Hours 6 3 Days 222 4 Weeks 477 5 Months 103 6 Year 250 Sysmiss 3730 Begin less than six months ago Primary female respondent Did this illness begin less than six months ago? If answer is 1 > Go to 7 (h07 - variable name in dataset). All household members. 1058 3730 1 Yes 782 2 No 276 Sysmiss 3730 Has had any other illness during the past 4 weeks Primary female respondent During the past 4 weeks has [NAME] had any other illness or injuries? If answer is 2 > Go to section B (hb01 - variable name in dataset). All household members. 276 4512 1 Yes 32 2 No 243 8 1 Sysmiss 4512 How long ago did it start (Amount of time) Primary female respondent IF MORE THAN ONE, ASK ABOUT MOST RECENT ILLNESS or INJURY. All household members. 32 4756 1 30 4 5.273 How long ago did it start (Time unit) Primary female respondent IF MORE THAN ONE, ASK ABOUT MOST RECENT ILLNESS or INJURY. All household members. 32 4756 1 Minutes 0 2 Hours 0 3 Days 1 4 Weeks 19 5 Months 9 6 Year 3 Sysmiss 4756 Begin less than 6 months ago Primary female respondent Did this illness begin less than six months ago? If answer is 2 > Go to section B (hb01 - variable name in dataset). All household members. 32 4756 1 Yes 25 2 No 7 Sysmiss 4756 For how many days did suffer Primary female respondent For how many days did [NAME] suffer from this illness or injury (SINCE DATE THAT ILLNESS BEGAN)? [Number of days] All household members. 807 3981 0 99 9.984 16.941 Illness A: Primary female respondent If illness: can you describe the symptoms that [NAME] suffered from during this illness? What is/was wrong? Record up to 5 symptom codes. All household members. 807 3981 1 Diarrhea (acute) 28 2 Diarrhea (chronic, 1 month or more) 1 3 Weight loss (major) 4 4 Fever (acute) 105 5 Fever (recurring) 19 6 Skin rash 29 7 Weakness 109 8 Severe headache 138 9 Fainting 0 10 Chills (feeling hot and cold) 11 11 Vomiting 9 12 Cough 136 13 Productive cough 2 14 Coughing blood 1 15 Pain on passing urine 1 16 Genital sores 1 17 Mental disorder 0 18 Abdominal pain 33 19 Sore throat 9 20 Difficulty breathing 15 21 Burn 3 22 Fracture 2 23 Wound 19 24 Child birth 1 25 Ameobeosis 0 26 Other (specify) 130 98 1 Sysmiss 3981 Illness B: Primary female respondent If illness: can you describe the symptoms that [NAME] suffered from during this illness? What is/was wrong? Record up to 5 symptom codes. All household members. 586 4202 1 Diarrhea (acute) 4 2 Diarrhea (chronic, 1 month or more) 1 3 Weight loss (major) 5 4 Fever (acute) 34 5 Fever (recurring) 4 6 Skin rash 8 7 Weakness 110 8 Severe headache 118 9 Fainting 3 10 Chills (feeling hot and cold) 19 11 Vomiting 31 12 Cough 65 13 Productive cough 0 14 Coughing blood 1 15 Pain on passing urine 2 16 Genital sores 0 17 Mental disorder 1 18 Abdominal pain 38 19 Sore throat 11 20 Difficulty breathing 7 21 Burn 0 22 Fracture 1 23 Wound 5 24 Child birth 1 25 Ameobeosis 0 26 Other (specify) 117 Sysmiss 4202 Illness C: Primary female respondent If illness: can you describe the symptoms that [NAME] suffered from during this illness? What is/was wrong? Record up to 5 symptom codes. All household members. 289 4499 1 Diarrhea (acute) 7 2 Diarrhea (chronic, 1 month or more) 1 3 Weight loss (major) 1 4 Fever (acute) 14 5 Fever (recurring) 2 6 Skin rash 2 7 Weakness 32 8 Severe headache 58 9 Fainting 0 10 Chills (feeling hot and cold) 8 11 Vomiting 22 12 Cough 41 13 Productive cough 1 14 Coughing blood 1 15 Pain on passing urine 0 16 Genital sores 0 17 Mental disorder 0 18 Abdominal pain 19 19 Sore throat 4 20 Difficulty breathing 3 21 Burn 0 22 Fracture 0 23 Wound 0 24 Child birth 2 25 Ameobeosis 0 26 Other (specify) 71 Sysmiss 4499 Illness D: Primary female respondent If illness: can you describe the symptoms that [NAME] suffered from during this illness? What is/was wrong? Record up to 5 symptom codes. All household members. 86 4702 1 Diarrhea (acute) 1 2 Diarrhea (chronic, 1 month or more) 0 3 Weight loss (major) 0 4 Fever (acute) 5 5 Fever (recurring) 1 6 Skin rash 1 7 Weakness 4 8 Severe headache 5 9 Fainting 0 10 Chills (feeling hot and cold) 2 11 Vomiting 7 12 Cough 27 13 Productive cough 0 14 Coughing blood 0 15 Pain on passing urine 0 16 Genital sores 0 17 Mental disorder 0 18 Abdominal pain 8 19 Sore throat 2 20 Difficulty breathing 6 21 Burn 0 22 Fracture 0 23 Wound 0 24 Child birth 0 25 Ameobeosis 0 26 Other (specify) 17 Sysmiss 4702 Illness E: Primary female respondent If illness: can you describe the symptoms that [NAME] suffered from during this illness? What is/was wrong? Record up to 5 symptom codes. All household members. 21 4767 1 Diarrhea (acute) 1 2 Diarrhea (chronic, 1 month or more) 0 3 Weight loss (major) 0 4 Fever (acute) 0 5 Fever (recurring) 0 6 Skin rash 0 7 Weakness 0 8 Severe headache 0 9 Fainting 0 10 Chills (feeling hot and cold) 1 11 Vomiting 1 12 Cough 6 13 Productive cough 0 14 Coughing blood 0 15 Pain on passing urine 0 16 Genital sores 0 17 Mental disorder 0 18 Abdominal pain 0 19 Sore throat 0 20 Difficulty breathing 7 21 Burn 0 22 Fracture 0 23 Wound 0 24 Child birth 0 25 Ameobeosis 0 26 Other (specify) 5 Sysmiss 4767 Days unable to carry out activities Primary female respondent For how many days was [NAME] unable to carry out his/her usual activities because of this illness or injury? [Number of days] Go to 12 (h12 - variable name in dataset).]]> All household members. 807 3981 0 99 2.897 9.359 Person 8 or older Primary female respondent Enumerator: Is this person 8 or older? If answer is 2 > Go to 12 (h12 - variable name in dataset). All household members. 311 4477 1 Yes 254 2 No 54 8 3 Sysmiss 4477 Who was performing work Primary female respondent During [NAME’s] illness who in your household was mainly performing his/her work? Write 98 if no one, otherwise write ID code. All household members. 254 4534 98 no one Anyone from outside to do work Primary female respondent Did anyone outside your household come to do [NAME’s] work for him/her? Write 98 if no one, otherwise write IRID code. All household members. 254 0 Anyone been consulted for treating illness Primary female respondent Has anyone been consulted for treating this illness or injury? For example a doctor, nurse, TBA, traditional healer, pharmacist, etc If answer is 2 > Go to 48 (h48 - variable name in dataset). All household members. 807 3981 1 Yes 593 2 No 214 Sysmiss 3981 Where did first go for advice/treatment Primary female respondent Where did [NAME] first go for advice or treatment? If answer is 15 > Go to 22 (h22 - variable name in dataset). All household members. 593 4195 1 National Referral Hosp. (Kenyatta, Moi) 19 2 Government District/Provincial Hosp. 57 3 Mosoriot Rural Health Center 217 4 Government Health Center (exc. Mosoriot) 32 5 Government dispensary 66 6 Mission hospital/clinic 7 7 Other private hospital/clinic 36 8 Chemist/pharmacy 80 9 Private doctor (like priv. clinic) 16 10 Mobile clinic 4 11 Community health worker 0 12 Retail shop 37 13 Herbalist/traditional healer 20 14 Relative/friend 0 15 Other (specify) 1 98 1 Sysmiss 4195 How far is the establishment Primary female respondent How far is this establishment from here? Distance. All household members. 592 4196 1 1500 60.27 161.541 How far is the establishment Primary female respondent How far is this establishment from here? Distance code. All household members. 592 4196 1 Meter 79 2 Kilometer 511 3 Mile 1 8 1 Sysmiss 4196 How travelled to the establishment Primary female respondent How did [NAME] travel to this establishment? If the person used more than one mode of transport, write the code for the mode used over the greatest distance. All household members. 592 4196 1 On foot 272 2 Bicycle 98 3 Car 127 4 Bus 94 5 Other 1 Sysmiss 4196 How long did it take to travel (hrs) Primary female respondent How long did it take [NAME] to travel to this establishment? Hrs. RECORD TIME FOR ONE WAY JOURNEY. All household members. 592 4196 0 98 48.547 48.833 How long did ti take to travel to establishment (Min) Primary female respondent How long did it take [NAME] to travel to this establishment? Mins. RECORD TIME FOR ONE WAY JOURNEY. All household members. 592 4196 0 99 24.605 23.532 Spend a night at establishment Primary female respondent Did [NAME] have to spend a night in this establishment because of the illness or injury? If answer is 2 > Go to 20 (h20 - variable name in dataset). All household members. 592 4196 1 Yes 42 2 No 550 Sysmiss 4196 How many nights Primary female respondent How many nights in total? [Number of nights] All household members. 42 4746 1 98 9 20.752 How much money has paid for stay at establishment Primary female respondent How much money has your household paid or will your household pay altogether for the stay in this establishment? [Amount in KSh] All household members. 42 4746 0 23000 1962.262 4435.581 How many times did vist the establishemnt Primary female respondent How many times did [NAME] visit this establishment for this illness or injury? [Number of times] All household members. 592 4196 0 98 1.921 5.75 How much household pay for all visits at the establishement Primary female respondent How much did your household pay for all of the visits to this establishment for this injury or illness? All household members. 592 4196 0 9800 83.154 453.883 Seek advice or care at any other establishment Primary female respondent Did [NAME] seek advice or care at any other establishment for this illness or injury? If answer is 2 > Go to 48 (h48 - variable name in dataset). All household members. 593 4195 1 Yes 39 2 No 554 Sysmiss 4195 Where was second place sought care Primary female respondent Where was the second place that [NAME] sought care or advice? All household members. 39 4749 1 National Referral Hosp. (Kenyatta, Moi) 3 2 Government District/Provincial Hosp. 0 3 Mosoriot Rural Health Center 16 4 Government Health Center (exc. Mosoriot) 1 5 Government dispensary 1 6 Mission hospital/clinic 2 7 Other private hospital/clinic 4 8 Chemist/pharmacy 4 9 Private doctor (like priv. clinic) 3 10 Mobile clinic 0 11 Community health worker 0 12 Retail shop 0 13 Herbalist/traditional healer 5 14 Relative/friend 0 15 Other (specify) 0 Sysmiss 4749 How far is establishment (Distance) Primary female respondent How far is this establishment from here? Distance. All household members. 39 4749 1 500 34.692 81.04 How far is establishment (Distance code) Primary female respondent How far is this establishment from here? Distance code. All household members. 39 4749 1 Meter 3 2 Kilometer 36 3 Mile 0 Sysmiss 4749 How travel to establishment Primary female respondent How did [NAME] travel to this establishment? If the person used more than one mode of transport, write the code for the mode used over the greatest distance. All household members. 39 4749 1 On foot 9 2 Bicycle 5 3 Car 14 4 Bus 11 5 Other 0 Sysmiss 4749 How long did it take to travel (hrs) Primary female respondent How long did it take [NAME] to travel to this establishment? Hours. RECORD TIME FOR ONE WAY JOURNEY. All household members. 39 4749 0 98 43 48.983 How long did it take to establishement (mins) Primary female respondent How long did it take [NAME] to travel to this establishment? Minutes. RECORD TIME FOR ONE WAY JOURNEY. All household members. 39 4749 0 98 24.897 21.055 Spend night at establishment Primary female respondent Did [NAME] have to spend a night in this establishment because of the illness or injury? If answer is 2 > Go to 30 (h30 - variable name in dataset). All household members. 39 4749 1 Yes 3 2 No 36 Sysmiss 4749 How many nights Primary female respondent How many nights? [Number of nights] All household members. 3 4785 How much money pay for stay at establishment Primary female respondent How much money has your household paid or will your household pay altogether for the stay in this establishment? [Amount in KSh] All household members. 3 4785 400 10696 3898.667 5887.513 How many times visited the establishment Primary female respondent How many times did [NAME] visit this establishment for this illness or injury? [Number of times] All household members. 39 4749 1 25 2.256 3.885 How much household pay for all visits at the establishement Primary female respondent How much did your household pay for all of the visits to this establishment for this injury or illness? All household members. 39 4749 0 10696 609.385 1895.269 Did seek care at any other establishement Primary female respondent Did [NAME] seek care at any other establishment for this illness or injury? If answer is 2 > Go to 48 (h48 - variable name in dataset). All household members. 39 4749 1 Yes 5 2 No 34 Sysmiss 4749 Where was the third place sought care Primary female respondent Where was the third place that [NAME] sought care or advice? All household members. 5 4783 1 National Referral Hosp. (Kenyatta, Moi) 0 2 Government District/Provincial Hosp. 1 3 Mosoriot Rural Health Center 3 4 Government Health Center (exc. Mosoriot) 0 5 Government dispensary 0 6 Mission hospital/clinic 0 7 Other private hospital/clinic 0 8 Chemist/pharmacy 0 9 Private doctor (like priv. clinic) 0 10 Mobile clinic 0 11 Community health worker 0 12 Retail shop 0 13 Herbalist/traditional healer 1 14 Relative/friend 0 15 Other (specify) 0 Sysmiss 4783 How far is the establishment (Distance) Primary female respondent How far is this establishment from here? Distance. All household members. 5 4783 3 80 41.6 32.715 How far is the establishment (Distance code) Primary female respondent How far is this establishment from here? Distance code. All household members. 5 4783 1 Meter 1 2 Kilometer 4 3 Mile 0 Sysmiss 4783 How travel to the establishment Primary female respondent How did [NAME] travel to this establishment? If the person used more than one mode of transport, write the code for the mode used over the greatest distance. All household members. 5 4783 1 On foot 1 2 Bicycle 0 3 Car 4 4 Bus 0 5 Other 0 Sysmiss 4783 How did it take to travel (Hrs) Primary female respondent How long did it take [NAME] to travel to this establishment? Hrs. RECORD TIME FOR ONE WAY JOURNEY. All household members. 5 4783 0 98 40 52.953 How did it take to travel (Mins) Primary female respondent How long did it take [NAME] to travel to this establishment? Mins. RECORD TIME FOR ONE WAY JOURNEY. All household members. 5 4783 0 98 28.6 40.433 Did have to spend the night at establishment Primary female respondent Did [NAME] have to spend a night in this establishment because of the illness or injury? If answer is 2 > Go to 40 (h40 - variable name in dataset). All household members. 5 4783 1 Yes 0 2 No 5 Sysmiss 4783 How many nights Primary female respondent How many nights ? No. of nights. All household members. 0 4788 How much money pay for stay at establishment Primary female respondent How much money has your household paid or will your household pay altogether for the stay in this establishment [Amount in KSh] All household members. 0 4788 How many times visit the establishment Primary female respondent How many times did [NAME] visit this establishment for this illness or injury? All household members. 5 4783 How much household pay for all visits at the establishement Primary female respondent How much money did your household pay for all of the visits to this establishment for this injury or illness? All household members. 5 4783 Seek care at any other establishment Primary female respondent Did [NAME] seek care at any other establishment for this illness or injury? If answer is 2 > Go to 48 (h48 - variable name in dataset). All household members. 5 4783 1 Yes 0 2 No 5 Sysmiss 4783 How many other establishment Primary female respondent How many other establishments did [NAME] visit? All household members. 0 4788 How much money was spent for all visits Primary female respondent How much money was spent for all visits to other establishments for this illness or injury? [Amount in KSh] All household members. 0 4788 Did have to spend night in any other establishment Primary female respondent In addition to any hospitalizations you have already mentioned, did [NAME] have to spend a night in any other establishment because of this illness or injury? If answer is 2 > Go to 48 (h48 - variable name in dataset). All household members. 0 4788 1 Yes 0 2 No 0 Sysmiss 4788 How many nights Primary female respondent How many nights? [Number of nights] All household members. 0 4788 How much money has household paid altogether Primary female respondent How much money has your household paid or will your household pay altogether to stay at these establishments? [Amount in KSh] All household members. 0 4788 Confined to bed at home Primary female respondent Was [NAME] at any time confined to his/her bed at home for this illness or injury? If answer is 2 > Go to 50 (h50 - variable name in dataset). All household members. 807 3981 1 Yes 189 2 No 618 Sysmiss 3981 Who was caring most of the time Primary female respondent Who in your household was caring for [NAME] most of the time? Write 98 if no one, otherwise write ID code. All household members. 189 4599 1 98 17.365 35.138 1 1 46 2 2 80 3 3 13 4 4 12 5 5 4 6 6 2 8 8 1 9 9 1 98 No one 30 Sysmiss 4599 How much has been spent for transportation Primary female respondent How much has been spent altogether for transportation to health care for this illness or injury? Amount in KSh. All household members. 807 3981 0 2800 81.725 248.669 How much has been spent on medication Primary female respondent How much has been spent altogether for medicines (including traditional medicines) for this illness? Amount in KSh. All household members. 806 3982 0 11996 202.78 716.745 What was the amount of total cost by employer Primary female respondent All household members. 806 3982 0 2000 3.968 78.866 What was the amount of total cost by NHIF Primary female respondent What was the amount of [NAME’s] total costs paid for by an the National Hospital Insurance Fund or a waiver? Amount in KSh. All household members. 806 3982 0 5000 12.774 216.974 What was the amount of total cost by persons outside Primary female respondent Go to 56 (h56 - variable name in dataset).]]> If some persons from outside the household paid for the costs of health care, ask about which person contributed the most (question 55a and 55b). All household members. 806 3982 0 10696 27.124 461.379 Persons contributed to most to total cost Primary female respondent Which of these persons contributed the most to [NAME’s] total costs? IRID code. If some persons from outside the household paid for the costs of health care, ask about which person contributed the most (question 55a and 55b). All household members. 16 0 03 1 06 1 09 2 10 2 11 1 R01 7 R02 2 What amount received from this person Primary female respondent What amount did [NAME] receive from this person? Amount in KSh. All household members. 16 4772 30 10696 1360.125 3079.876 What was the amount paid by loans Primary female respondent What was the amount of [NAME’s] costs paid for by loans? Amount in Ksh. If answer is 0 > Go to 58 (h58 - variable name in dataset). All household members. 806 3982 0 700 0.868 24.656 How much of this loan amount will have to be repaid Primary female respondent How much of this loan amount will have to be repaid? Amount in KSh. All household members. 1 4787 Still suffering from this illness Primary female respondent Is [NAME] still suffering from this illness or injury today? All household members. 807 3981 1 Yes 275 2 No 531 8 1 Sysmiss 3981 Was illness diagnosed by a health professional Primary female respondent Was [NAME’s] illness diagnosed by a health professional? If answer is 2 > Go to 61 (h61 - variable name in dataset). All household members. 807 3981 1 Yes 471 2 No 335 8 1 Sysmiss 3981 What illness professional think (illness) Primary female respondent What illness did the health practitioner think [NAME] had? Illness. *If multiple practicioners have been consulted, record most recent diagnosis. All household members. 469 0 99 1 ACUTE RESP INFECTION 1 AIDS 1 ALLERGY 3 ALLERGY TO COLD 1 AMEOBESIS 1 AMOEBA 1 ARTRITIS 1 ASTHIMA 1 ASTHMA 3 BACK ACHE 1 BACKACHE 1 BACKACHE PROBLEM 1 BLISTER ON LUMBER 1 BOIL 2 BONE DISEASE 1 BRUCELLOSIS 1 BURN 3 CELEBRAL MALARIA 1 CHEST PAIN 1 CHEST PROBLEM 5 CHEST&BACK ACHE 1 CHICKEN POX 3 CHILD BIRTH 2 COLD 26 COMMON COLD 13 COUGH 2 CYST IN WOMB 1 DAMAGED VERICOS VEIN 1 DIABETIC 1 DIABETIS 1 DIARHOEA 1 DIARRHEA 2 DOG BITE 3 DON'T KNOW 1 DONT KNOW 24 EAR PROBLEM 2 EPILEPSY 1 EYE ALLERGY 2 EYE DISEASE 2 EYE PROBLEM 7 FALL OUT FROM CAR 1 FEVER 2 FINGER CUT 1 FRACTURE 5 GENITAL HERPES 1 HEAD ACHE 1 HEAD INJURY 1 HEAD&BACK PROBLEM 1 HEADACHE 2 HEART PROBLEM 1 HEPATITIS 1 HIGH BLOOD PRESSURE 1 HIV AIDS 4 HIV/AIDS 11 HYPERTENSION 1 INJURY 3 INSECT BITE 1 INTESTINAL PARASITES 1 JOINT DISLOCATION 2 KWASHIOKOR 1 LOW SUGAR 1 MALARIA 214 MALARIA + PNEUMONIA 1 MEASLES 2 MENINGITIS 1 MUMPS 1 NOT TOLD 2 OTITIS 1 PNEUMONIA 9 POISONING 1 RESPIRATORY INFECTIO 2 SEPTIC WOUND 1 SHE WAS NOT TOLD 1 SKIN ALLERGY 1 SKIN DISEASE 1 SKIN RASH 3 SORE THROAT 1 STD INFECTION 1 STOMACH ACHE 1 STOMACH PROBLEM 1 STOMACH ULCERS 1 STOMACH UPSETS 1 STOMACHACHE 2 SWOLLEN FINGER 1 SYPHILIS 1 TB 1 TEETHING 1 THYROID REMOVAL 1 TONSILIS 1 TONSILITIS 4 TONSILITS 1 TONSILS 2 TOOTH DECAY 1 TOOTHACHE 3 TUBERCLOSIS 2 TUBERCULOSIS 8 TYPHOID 7 TYPHOID FEVER 2 ULCERS 3 UPPER RESP INFECTION 1 VENERIAL DISEASE 1 WAS NOT TOLD 1 WORMS 1 WOUND 5 WOUNDS 1 What illness professional think (illness code) Primary female respondent What illness did the health practitioner think [NAME] had? Code. *If multiple practicioners have been consulted, record most recent diagnosis. All household members. 471 4317 1 HIV/AIDS 16 2 Asthma 4 3 Bilharzia/ Shistosomiasis 0 4 Cancer 0 5 Diarrhea 3 6 Dysentry 0 7 Fracture/break 4 8 Gnorrhea 0 9 Intestinal Parisites 2 10 Malaria 216 11 Malnutrition (Kwashiorkor/Marasmus) 1 12 Measles 2 13 Meningitis 1 14 Poisoning 1 15 Polio 0 16 Syphilis 1 17 Tetanus 0 18 Tuberculosis 11 19 Typhoid 9 20 Urinary Infection 0 21 Witchcraft 0 22 Other STD (specify) 3 23 Other illness (specify) 148 24 Other injury (specify) 17 98 2 99 Don’t know 30 Sysmiss 4317 What illness do you think (illness) Primary female respondent What illness do you think [NAME] is suffering from? Illness. All household members. 805 0 A CUT 1 ALLERGY 3 ALLERGY TO SOAP 1 ARTHRITIS 2 ARTRITIS 1 ASTHIMA 1 ASTHMA 1 BACK ACHE 1 BACK PAIN 1 BACKACHE 5 BACKACHE PROBLEM 1 BLISTERS ON LUMBER 1 BOIL 3 BOILS 1 BRUCELLOSIS 1 BURN 3 CANCER 1 CELEBRAL MALARIA 1 CHEST PAIN 3 CHEST PROBLEM 5 CHEST&BACKACHE 1 CHICKEN POX 5 CHILD BIRTH 3 COLD 163 COLD/CHILLS 1 COMMON COLD 63 CONJUCTIVITIS 1 COUGH 11 COUGH(COLD) 1 DIABETIC 1 DIARHOEA 1 DIARRHEA 6 DIARRHOE 1 DIARRHOEA 1 DISLOCATED BONE 1 DISLOCATION 2 DOG BITE 3 DON'T KNOW 1 DONT KNOW 35 EAR PROBLEM 3 EPILEPSY 1 EYE INJURY 2 EYE PROBLEM 21 FALL OUT FROM CAR 1 FEVER 11 FEVER FLU 1 FINGER CUT 1 FLU 3 FOOD POISONING 6 FRACTURE 3 GNORRHEA 2 HAND DISLOCATION 1 HEAD ACHE 1 HEAD INJURY 1 HEAD&BACK PROBLEM 1 HEADACHE 14 HEART PROBLEM 1 HIV 1 HIV AIDS 2 HIV/AIDS 10 HIV/AIDS&FRACTURE 1 HUNGER 1 HYPERTENSION 1 INJURED PRIVATE PART 1 INJURY 3 INTESTINAL PARASITES 1 JOINT DISLOCATION 1 KWASHIOKOR 1 LEG INJURY 1 MALARIA 280 MEASLES 2 MISSING 1 NERVE DISORDER 1 NOSE BLEEDING 1 OLD AGE 2 ORAL THRUSH 1 PAIN AT HIP JOINT 1 PAINFUL RIBS 1 PNEUMONIA 8 POISONING 1 PRICKED 1 REMOVAL OF THYROID 1 RESPIRATORY INFECTIO 1 RING WORMS 1 RINGWORMS 1 SHOCK 1 SKIN DISEASE 2 SKIN RASH 5 SORE THROAT 1 SPIDER BITES 1 STD 1 STOMACH ACHE 2 STOMACH PROBLEM 1 STOMACH UPSET 1 STOMACH UPSETS 1 STOMACHACHE 2 SWELL AROUND THE EAR 1 SWOLLEN FINGER 1 SYPHILIS 1 TB 1 THREATENED ABORTION 1 TONSILITIS 4 TONSILS 3 TONSOLITIS 1 TOOTH ACHE 1 TOOTH DECAY 1 TOOTHACHE 4 TUBERCULOSIS 4 TYPHOID 2 ULCERS 5 WITCHCRAFT 2 WORMS 2 WOUND 12 WOUNDS 1 What illness professional think (illness code) Primary female respondent What illness do you think [NAME] is suffering from? Code. All household members. 807 3981 1 HIV/AIDS 14 2 Asthma 2 3 Bilharzia/ Shistosomiasis 0 4 Cancer 1 5 Diarrhea 9 6 Dysentry 0 7 Fracture/break 3 8 Gnorrhea 2 9 Intestinal Parisites 3 10 Malaria 281 11 Malnutrition (Kwashiorkor/Marasmus) 1 12 Measles 2 13 Meningitis 0 14 Poisoning 5 15 Polio 0 16 Syphilis 1 17 Tetanus 1 18 Tuberculosis 5 19 Typhoid 2 20 Urinary Infection 0 21 Witchcraft 2 22 Other STD (specify) 1 23 Other illness (specify) 400 24 Other injury (specify) 33 98 1 99 Don’t know 38 Sysmiss 3981 Has been recurring problem Primary female respondent Has this been a recurring problem? If answer is 2 > Go to 64 (h64 - variable name in dataset). All household members. 807 3981 1 Yes 162 2 No 643 8 2 Sysmiss 3981 How many times in the past 12 months has been stricken with Primary female respondent How many times in the past 12 months has [NAME] been stricken with the same condition? All household members. 162 4626 1 99 5.198 15.047 How many othe illness did have in past 4 weeks Primary female respondent How many other illnesses or injuries did [NAME] have in the past 4 weeks? If answer is 0 > Go to section B (hb01 - variable name in dataset). All household members. 807 3981 How much household spend on all these other illness in past Primary female respondent How much did your household spend on all of these other illness or injuries in the past 4 weeks, including the cost of treatment, medicines, transportation and other expenses connected with these illnesses? EXCLUDE EXPENSES INCURRED JOINTLY WITH THE FIRST ILLNESS. All household members. 32 4756 0 3000 335.906 701.98 For how many days was unable to carry out normal activities Primary female respondent In total, for how many days was [NAME] unable to carry out his/her normal activities because of these other illnesses or injuries in the past 4 weeks? EXCLUDE DAYS INCURRED JOINTLY WITH FIRST ILLNESS. All household members. 32 4756 Has been living with any health problem for a long time Primary female respondent In addition to the illness or injury that you mentioned in the past 4 weeks, has [NAME] been living with any health problem for a long time? PROBE: For more than 6 months? If answer is 1 > Go to 2 in section B (hb01 - variable name in dataset). All household members. 32 4756 1 Yes 15 2 No 17 Sysmiss 4756 Has suffered diarrhea for a month or more Primary female respondent Has [NAME] suffered for diarrhea for a month or more? All household members. 17 4771 1 Yes 1 2 No 16 Sysmiss 4771 Has lost weight in recent months Primary female respondent Has [NAME] continuously lost weight in recent months? All household members. 17 4771 1 Yes 3 2 No 14 Sysmiss 4771 Has had recurring fever for a month Primary female respondent Has [NAME] had recurring fever for a month or more? All household members. 17 4771 1 Yes 2 2 No 15 Sysmiss 4771 Has suffered from any skin rash in past year Primary female respondent Has [NAME] suffered from any skin rash in the past year? All household members. 17 4771 1 Yes 4 2 No 13 Sysmiss 4771 Has suffered from persistent sore throat in last 3 months Primary female respondent Has [NAME] suffered from a persistent sore throat in the last 3 months? (Thrush) All household members. 17 4771 1 Yes 2 2 No 15 Sysmiss 4771 Has felt much more tired than normal in past 3 months Primary female respondent Has [NAME] felt much more tired than normal in the past 3 months? All household members. 17 4771 1 Yes 3 2 No 14 Sysmiss 4771 Has been sweating during the night in last 3 months Primary female respondent Has [NAME] been sweating during the night in the last 3 months? Go to next person. All household members. 17 4771 1 Yes 3 2 No 14 Sysmiss 4771 ID code Primary female respondent ID All household members. 4780 8 1 821 2 790 3 744 4 666 5 538 6 433 7 306 8 202 9 121 10 71 11 44 12 19 13 13 14 7 15 5 Sysmiss 8 ID code Primary female respondent ID All household members. 4780 8 1 824 2 788 3 744 4 664 5 539 6 431 7 305 8 203 9 121 10 71 11 44 12 19 13 13 14 7 15 5 16 1 17 1 Sysmiss 8 Has been living with any health problem Primary female respondent Has [NAME] been living with any health problems for more than 6 months? If answer is 2 > Go to 7 (hb07 - variable name in dataset). All household members. 4780 8 1 Yes 621 2 No 4159 Sysmiss 8 How long ago did problem start (Amount of time) Primary female respondent How long ago did this problem start? Amt of time. All household members. 621 4167 1 98 6.572 7.639 How long ago did problem start (Time unit) Primary female respondent How long ago did this problem start? Time unit. All household members. 621 4167 1 Minutes 0 2 Hours 0 3 Days 1 4 Weeks 0 5 Months 50 6 Year 569 9 1 Sysmiss 4167 Has condition been diagnosed by health professional Primary female respondent Has this condition been diagnosed by a health professional? If answer is 2 > Go to 5 (hb05a - variable name in dataset). All household members. 621 4167 1 Yes 573 2 No 48 Sysmiss 4167 What condition did health professional think Primary female respondent What condition did the health professional think [NAME] have? All household members. 573 4215 1 HIV/AIDS 223 2 Asthma 42 3 Bilharzia/ Shistosomiasis 0 4 Cancer 5 5 Diarrhea 0 6 Dysentry 1 7 Fracture/break 4 8 Gnorrhea 0 9 Intestinal Parisites 2 10 Malaria 4 11 Malnutrition (Kwashiorkor/Marasmus) 0 12 Measles 0 13 Meningitis 2 14 Poisoning 0 15 Polio 3 16 Syphilis 0 17 Tetanus 1 18 Tuberculosis 20 19 Typhoid 7 20 Urinary Infection 3 21 Witchcraft 0 22 Other STD (specify) 0 23 Other illness (specify) 214 24 Other injury (specify) 8 99 Don’t know 34 Sysmiss 4215 Symptoms have A: Primary female respondent What symptoms does [NAME] have? List up to 5. All household members. 618 4170 1 Diarrhea (acute) 11 2 Diarrhea (chronic, 1 month or more) 20 3 Weight loss (major) 42 4 Fever (acute) 11 5 Fever (recurring) 33 6 Skin rash 65 7 Weakness 73 8 Severe headache 31 9 Fainting 4 10 Chills (feeling hot and cold) 2 11 Vomiting 7 12 Cough 41 13 Productive cough 6 14 Coughing blood 1 15 Pain on passing urine 1 16 Genital sores 1 17 Mental disorder 14 18 Abdominal pain 35 19 Sore throat 8 20 Difficulty breathing 52 21 Burn 0 22 Fracture 0 23 Wound 5 24 Child birth 0 25 Ameobeosis 1 26 Other (specify) 141 98 12 99 1 Sysmiss 4170 Symptoms have B: Primary female respondent What symptoms does [NAME] have? List up to 5. All household members. 389 4399 1 Diarrhea (acute) 4 2 Diarrhea (chronic, 1 month or more) 5 3 Weight loss (major) 24 4 Fever (acute) 5 5 Fever (recurring) 23 6 Skin rash 37 7 Weakness 56 8 Severe headache 44 9 Fainting 7 10 Chills (feeling hot and cold) 11 11 Vomiting 8 12 Cough 37 13 Productive cough 8 14 Coughing blood 4 15 Pain on passing urine 2 16 Genital sores 1 17 Mental disorder 0 18 Abdominal pain 13 19 Sore throat 8 20 Difficulty breathing 28 21 Burn 0 22 Fracture 0 23 Wound 2 24 Child birth 0 25 Ameobeosis 1 26 Other (specify) 61 Sysmiss 4399 Symptoms have C: Primary female respondent What symptoms does [NAME] have? List up to 5. All household members. 229 4559 1 Diarrhea (acute) 1 2 Diarrhea (chronic, 1 month or more) 5 3 Weight loss (major) 12 4 Fever (acute) 1 5 Fever (recurring) 10 6 Skin rash 17 7 Weakness 36 8 Severe headache 25 9 Fainting 5 10 Chills (feeling hot and cold) 2 11 Vomiting 6 12 Cough 29 13 Productive cough 1 14 Coughing blood 3 15 Pain on passing urine 0 16 Genital sores 1 17 Mental disorder 1 18 Abdominal pain 2 19 Sore throat 17 20 Difficulty breathing 13 21 Burn 0 22 Fracture 0 23 Wound 1 24 Child birth 0 25 Ameobeosis 0 26 Other (specify) 41 Sysmiss 4559 Symptoms have D: Primary female respondent What symptoms does [NAME] have? List up to 5. All household members. 130 4658 1 Diarrhea (acute) 0 2 Diarrhea (chronic, 1 month or more) 2 3 Weight loss (major) 7 4 Fever (acute) 0 5 Fever (recurring) 2 6 Skin rash 9 7 Weakness 9 8 Severe headache 10 9 Fainting 2 10 Chills (feeling hot and cold) 3 11 Vomiting 7 12 Cough 20 13 Productive cough 4 14 Coughing blood 5 15 Pain on passing urine 0 16 Genital sores 0 17 Mental disorder 0 18 Abdominal pain 0 19 Sore throat 17 20 Difficulty breathing 10 21 Burn 0 22 Fracture 1 23 Wound 0 24 Child birth 0 25 Ameobeosis 0 26 Other (specify) 22 Sysmiss 4658 Symptoms have E: Primary female respondent What symptoms does [NAME] have? List up to 5. All household members. 71 4717 1 Diarrhea (acute) 1 2 Diarrhea (chronic, 1 month or more) 0 3 Weight loss (major) 2 4 Fever (acute) 0 5 Fever (recurring) 0 6 Skin rash 2 7 Weakness 7 8 Severe headache 2 9 Fainting 0 10 Chills (feeling hot and cold) 1 11 Vomiting 3 12 Cough 18 13 Productive cough 3 14 Coughing blood 0 15 Pain on passing urine 0 16 Genital sores 0 17 Mental disorder 0 18 Abdominal pain 4 19 Sore throat 6 20 Difficulty breathing 6 21 Burn 0 22 Fracture 0 23 Wound 1 24 Child birth 0 25 Ameobeosis 0 26 Other (specify) 15 Sysmiss 4717 How much money did spend on all these conditions Primary female respondent EXCLUDE EXPENDITURES JOINT WITH ACUTE ILLNESS. All household members. 621 4167 0 99999 1331.09 8015.084 Has suffered diarrhea for a month or more Primary female respondent Has [NAME] suffered diarrhea for a month or more? All household members. 4780 8 1 Yes 64 2 No 4690 8 26 Sysmiss 8 Has lost much weight in recent months Primary female respondent Has [NAME] continuously lost weight in recent months? All household members. 4780 8 1 Yes 250 2 No 4511 8 19 Sysmiss 8 Has had a recurring fever for a month or more Primary female respondent Has [NAME] had a recurring fever for a month or more? All household members. 4780 8 1 Yes 259 2 No 4502 8 19 Sysmiss 8 Has suffered from any skin rash in past year Primary female respondent Has [NAME] suffered from any skin rash in the past year? All household members. 4780 8 1 Yes 370 2 No 4391 8 19 Sysmiss 8 Has suffered from persistent sore throat Primary female respondent Has [NAME] suffered from a persistent sore throat in the last 3 months? (Thrush) All household members. 4780 8 1 Yes 217 2 No 4544 8 19 Sysmiss 8 Has felt much more tired than normal Primary female respondent Has [NAME] felt much more tired than normal in the past 3 months? All household members. 4780 8 1 Yes 362 2 No 4394 8 23 9 1 Sysmiss 8 Has been sweating during the night Primary female respondent Has [NAME] been sweating during the night in the last 3 months? All household members. 4780 8 1 Yes 308 2 No 4445 8 20 9 7 Sysmiss 8 ID Code I would like to ask you for the Mosoriot Health Center’s medical records number of EACH household member. This information will be kept confidential and will only be used for research purposes. Your answers to all the questionnaires will not be given to staff at the Mosoriot Health Center. ID Code * Copy the ID Code of every household member from Section 1 of the Household Roster All household members. 4785 3 1 825 2 791 3 745 4 664 5 539 6 431 7 305 8 204 9 122 10 71 11 44 12 19 13 13 14 7 15 5 Sysmiss 3 ID Code ID Code All household members. 4784 4 1 824 2 790 3 745 4 664 5 538 6 432 7 304 8 204 9 122 10 71 11 44 12 19 13 13 14 7 15 5 16 1 17 1 Sysmiss 4 Ever visited Mosoriot Rural Health Centre Primary female respondent Has [NAME] ever visited the Mosoriot Rural Health Center? If answer is 2 > Go to next person. All household members. 4784 4 1 Yes 2923 2 No 1853 8 8 Sysmiss 4 Have card with ID # for Mosoriot health records Primary female respondent Does [NAME] have a card with an ID number for the Mosoriot health records? If answer is 2 or 99> Go to next person. All household members. 2923 1865 1 Yes 1280 2 No 874 8 664 9 105 88 Lost the card 0 99 Don’t Know 0 Sysmiss 1865 See the card Primary female respondent Can I please see the card with the ID number for [NAME], or can you tell me the exact ID number for [NAME]? All household members. 1280 3508 1 Yes – showed the card 1177 2 Yes – reported the ID number 15 3 Refused to show card or tell number 3 8 84 9 1 Sysmiss 3508 Card ID number Primary female respondent INTERVIEWER: COPY THE NUMBER AS IT APPEARS ON THE CARD OR RECORD THE NUMBER GIVEN TO YOU BY THE RESPONDENT. All household members. 1279 0 Health Module 822 0 1 Yes 822 2 No 0 Household ID Household ID 822 0 1 9694 889.498 1437.584 1 1 3 1 4 1 5 1 6 1 7 1 8 1 9 1 10 1 11 1 12 1 13 1 14 1 15 1 16 1 17 1 18 1 19 1 20 1 21 1 22 1 23 1 24 1 25 1 26 1 27 1 28 1 29 1 30 1 31 1 32 1 33 1 34 1 35 1 38 1 39 1 41 1 43 1 44 1 46 1 47 1 48 1 49 1 50 1 51 1 53 1 55 1 56 1 58 1 60 1 61 1 62 1 64 1 65 1 66 1 67 1 68 1 69 1 70 1 73 1 74 1 75 1 76 1 77 1 78 1 79 1 80 1 82 1 84 1 89 1 93 1 94 1 95 1 97 1 98 1 99 1 102 1 103 1 104 1 106 1 108 1 109 1 110 1 111 1 112 1 113 1 114 1 115 1 117 1 120 1 121 1 123 1 124 1 125 1 128 1 150 1 151 1 152 1 154 1 155 1 156 1 158 1 161 1 162 1 163 1 164 1 165 1 166 1 167 1 168 1 169 1 170 1 171 1 172 1 173 1 174 1 200 1 201 1 202 1 203 1 204 1 205 1 206 1 207 1 208 1 209 1 210 1 211 1 212 1 213 1 216 1 217 1 218 1 219 1 221 1 222 1 223 1 250 1 251 1 252 1 253 1 254 1 255 1 256 1 257 1 258 1 259 1 260 1 261 1 262 1 263 1 264 1 265 1 266 1 267 1 268 1 269 1 273 1 274 1 275 1 276 1 277 1 278 1 279 1 280 1 281 1 282 1 300 1 301 1 302 1 303 1 304 1 305 1 306 1 307 1 309 1 310 1 311 1 312 1 313 1 314 1 315 1 316 1 317 1 318 1 350 1 351 1 352 1 353 1 354 1 355 1 356 1 357 1 358 1 359 1 360 1 361 1 362 1 363 1 364 1 365 1 366 1 368 1 369 1 372 1 400 1 401 1 402 1 403 1 404 1 405 1 406 1 407 1 409 1 410 1 411 1 412 1 415 1 416 1 417 1 418 1 419 1 420 1 421 1 422 1 423 1 424 1 425 1 426 1 427 1 428 1 429 1 430 1 431 1 434 1 436 1 438 1 450 1 451 1 452 1 453 1 454 1 455 1 456 1 457 1 458 1 459 1 460 1 461 1 462 1 463 1 464 1 465 1 466 1 467 1 468 1 469 1 470 1 473 1 475 1 476 1 477 1 478 1 479 1 480 1 481 1 482 1 483 1 484 1 485 1 486 1 487 1 488 1 489 1 490 1 500 1 501 1 502 1 504 1 505 1 506 1 507 1 508 1 509 1 510 1 511 1 512 1 513 1 514 1 515 1 516 1 518 1 519 1 520 1 521 1 522 1 523 1 524 1 525 1 526 1 527 1 528 1 529 1 530 1 531 1 532 1 533 1 534 1 535 1 537 1 538 1 539 1 540 1 541 1 542 1 543 1 544 1 545 1 546 1 547 1 548 1 549 1 550 1 551 1 552 1 554 1 556 1 557 1 560 1 562 1 563 1 564 1 565 1 566 1 568 1 580 1 581 1 582 1 585 1 587 1 588 1 589 1 590 1 591 1 593 1 594 1 595 1 597 1 598 1 599 1 600 1 601 1 602 1 603 1 604 1 605 1 606 1 607 1 608 1 609 1 610 1 611 1 612 1 614 1 615 1 616 1 617 1 618 1 619 1 620 1 621 1 622 1 623 1 624 1 625 1 626 1 628 1 630 1 631 1 632 1 633 1 634 1 635 1 637 1 639 1 640 1 652 1 653 1 656 1 658 1 660 1 663 1 665 1 666 1 667 1 670 1 671 1 673 1 674 1 675 1 676 1 677 1 678 1 679 1 680 1 681 1 682 1 683 1 686 1 687 1 688 1 689 1 690 1 691 1 692 1 693 1 694 1 696 1 697 1 698 1 699 1 700 1 701 1 702 1 703 1 706 1 707 1 708 1 709 1 710 1 711 1 712 1 715 1 716 1 717 1 720 1 721 1 722 1 723 1 724 1 725 1 726 1 727 1 728 1 730 1 731 1 732 1 733 1 735 1 736 1 737 1 738 1 739 1 740 1 741 1 742 1 746 1 747 1 748 1 751 1 752 1 755 1 757 1 758 1 764 1 766 1 775 1 776 1 779 1 780 1 781 1 783 1 784 1 786 1 787 1 790 1 791 1 792 1 793 1 794 1 800 1 801 1 802 1 803 1 804 1 805 1 806 1 807 1 808 1 809 1 810 1 811 1 812 1 813 1 814 1 815 1 816 1 817 1 818 1 819 1 820 1 821 1 822 1 823 1 824 1 825 1 826 1 827 1 828 1 829 1 830 1 831 1 832 1 833 1 834 1 835 1 836 1 837 1 838 1 839 1 840 1 841 1 842 1 843 1 844 1 845 1 846 1 847 1 848 1 849 1 850 1 851 1 852 1 853 1 854 1 855 1 856 1 900 1 901 1 902 1 903 1 904 1 905 1 906 1 907 1 908 1 909 1 911 1 912 1 913 1 914 1 915 1 916 1 917 1 918 1 919 1 920 1 921 1 922 1 923 1 924 1 925 1 926 1 927 1 928 1 929 1 930 1 931 1 932 1 933 1 934 1 935 1 936 1 937 1 938 1 939 1 940 1 941 1 942 1 943 1 944 1 945 1 946 1 947 1 948 1 949 1 950 1 951 1 952 1 953 1 954 1 955 1 956 1 957 1 958 1 959 1 960 1 961 1 962 1 963 1 964 1 965 1 966 1 967 1 968 1 969 1 970 1 971 1 972 1 973 1 974 1 975 1 976 1 977 1 978 1 979 1 980 1 982 1 983 1 984 1 985 1 986 1 987 1 988 1 989 1 990 1 991 1 992 1 993 1 994 1 995 1 996 1 997 1 998 1 999 1 1000 1 1001 1 1002 1 1003 1 1004 1 1005 1 1006 1 1007 1 1008 1 1009 1 1010 1 1011 1 1012 1 1013 1 1014 1 1015 1 1016 1 1017 1 1018 1 1019 1 1020 1 1021 1 1022 1 1023 1 1024 1 1025 1 1026 1 1027 1 1028 1 1029 1 1030 1 1031 1 1100 1 1101 1 1102 1 1104 1 1105 1 1106 1 1107 1 1108 1 1109 1 1110 1 1111 1 1113 1 1114 1 1115 1 1116 1 1117 1 1118 1 1119 1 1120 1 1121 1 1122 1 1123 1 1124 1 1125 1 1126 1 1127 1 1129 1 1130 1 1131 1 1132 1 1133 1 1134 1 1136 1 1137 1 1138 1 1139 1 1141 1 1142 1 1143 1 1144 1 1145 1 1146 1 1150 1 1151 1 1152 1 1153 1 1154 1 1155 1 1156 1 1157 1 1158 1 1159 1 1160 1 1161 1 1167 1 1168 1 1169 1 1170 1 1171 1 1173 2 1200 1 1201 1 1202 1 1203 1 1204 1 1205 1 1206 1 1207 1 1208 1 1209 1 1210 1 1211 1 1212 1 1214 1 1215 1 1216 1 1218 1 1219 1 1220 1 1221 1 1223 1 1225 1 1227 1 1228 1 1229 1 1230 1 1231 1 1232 1 1234 1 1235 1 1236 1 1237 1 1239 1 1240 1 1241 1 1242 1 1243 1 1244 1 1245 1 1246 1 1247 1 1248 1 1249 1 1250 1 1251 1 1252 1 1253 1 1254 1 1255 1 1257 1 1259 1 1261 1 1263 1 1264 1 1265 1 1266 1 1269 1 1270 1 1271 1 1272 1 1273 1 1274 1 1275 1 1276 1 1277 1 1278 1 1279 1 1280 1 1282 1 1283 1 1284 1 1285 1 8043 1 9012 1 9019 1 9043 1 9134 1 9166 1 9210 1 9212 1 9216 1 9225 1 9240 1 9255 1 9265 1 9275 1 9280 1 9412 1 9518 1 9608 1 9616 1 9653 1 9667 1 9694 1 Respondent ID Respondent ID 822 0 1 292 2 500 3 23 4 3 5 2 6 1 7 1 Day of interview Date of Interview. Day. 822 0 1 31 15.912 8.672 1 13 2 25 3 23 4 31 5 29 6 28 7 33 8 24 9 33 10 32 11 22 12 23 13 30 14 33 15 29 16 34 17 19 18 20 19 34 20 27 21 28 22 33 23 17 24 18 25 23 26 30 27 26 28 38 29 25 30 32 31 10 Month of interview Date of Interview. Month. 822 0 3 109 4 208 5 156 6 142 7 150 8 57 Year of interview Date of Interview. Year. 822 0 2004 822 Count Section A 822 0 Count Section B 822 0 Count Section D 822 0 Has anyone had malaria since Jan 2002 Primary female respondent Has anyone in the household had malaria since January 2002 (including illnesses discussed in section A)? If answer is 2 > Go to next disease. All household members. 822 0 1 Yes 629 2 No 193 Count Section C 629 193 Anyone had tuberclosis since Jan 2002 Primary female respondent Has anyone in the household had tuberculosis since January 2000 (including illnesses discussed in sections A or B? Ask if respondent has a card with information about the illness. If answer is 2 > Go to next disease.]]> All household members. 822 0 1 Yes 86 2 No 735 9 1 Count of TB 86 736 Has anyone had typhoid Primary female respondent Has anyone in the household had typhoid since January 2000 (including illnesses discussed in sections A or B? If answer is 2 > Go to next disease. All household members. 822 0 1 Yes 142 2 No 677 8 2 9 1 Count of Typhoid 142 680 Anyone had menengitis Primary female respondent Has anyone in the household had meningitis since January 2000 (including illnesses discussed in sections A or B? If answer is 2 > Go to next disease. All household members. 822 0 1 Yes 14 2 No 806 8 2 Count of menengitis 14 808 Health Module 1274 0 1 Yes 1274 2 No 0 Household ID Household ID 1274 0 1 9694 851.994 1097.343 1 3 3 2 4 5 5 1 6 2 8 1 9 4 10 2 12 3 13 4 16 1 17 2 18 1 19 3 24 6 25 1 26 1 28 2 29 2 30 1 31 1 32 1 33 2 46 3 50 2 55 1 60 2 61 2 62 2 64 1 65 1 66 1 67 1 68 1 70 1 73 1 74 1 75 2 76 3 77 5 78 1 80 2 82 1 94 1 95 1 97 1 98 1 104 1 106 2 108 1 109 1 110 5 111 1 112 1 114 2 115 3 121 2 123 1 124 2 125 2 150 1 151 3 152 2 154 4 155 1 158 2 161 6 162 1 163 1 164 3 165 1 167 2 170 2 171 3 172 1 173 1 174 1 201 1 202 1 205 1 209 4 212 1 218 2 219 1 221 1 222 2 223 3 252 2 254 4 255 1 257 1 258 1 259 1 260 1 262 1 263 2 264 4 265 1 266 1 268 1 269 2 275 2 276 2 277 1 278 1 279 4 281 1 282 2 300 1 301 1 304 4 305 4 307 2 309 1 310 1 311 1 314 3 315 4 316 4 317 1 318 3 350 3 351 1 354 1 356 1 357 1 359 1 360 1 362 1 363 1 364 1 365 1 366 1 368 1 369 3 401 6 402 1 404 1 405 2 406 1 407 1 409 1 410 2 412 1 415 1 418 6 420 1 422 1 423 1 424 1 426 2 427 2 428 3 429 1 430 2 431 1 434 3 436 1 438 1 451 1 454 1 456 2 457 1 460 2 463 1 464 1 466 2 467 2 469 1 470 1 473 3 478 1 479 1 480 2 482 1 484 1 485 2 486 3 487 1 488 1 489 2 501 6 502 1 504 1 505 2 506 1 507 4 508 4 509 2 510 2 511 2 515 2 516 2 518 2 519 1 520 5 521 1 522 1 524 3 525 2 526 2 527 1 528 4 529 1 530 3 531 2 532 2 534 4 535 5 538 1 540 2 541 2 542 3 543 2 544 3 545 1 546 6 548 1 550 2 551 1 552 2 554 3 556 2 557 3 563 3 564 4 565 1 566 3 568 1 580 2 581 1 582 1 585 2 587 5 588 5 589 1 590 2 591 1 593 2 594 1 595 3 598 1 599 1 600 3 602 1 603 1 604 2 605 2 606 1 607 1 609 1 610 1 611 6 612 1 614 2 615 1 616 1 617 1 620 2 622 1 623 1 626 2 630 2 631 1 632 1 633 1 634 3 635 1 637 1 639 1 640 5 652 2 653 2 656 1 658 2 660 1 663 1 666 1 667 1 670 2 675 1 677 1 679 4 680 1 683 1 687 1 688 1 689 3 691 1 696 4 699 1 700 1 702 4 703 1 706 4 708 1 709 1 710 2 711 1 715 1 717 1 720 2 721 2 723 2 724 4 725 2 728 1 730 6 731 2 732 2 733 2 735 1 737 4 738 1 740 1 741 1 746 3 747 2 751 2 755 2 757 2 758 1 764 1 766 1 775 1 776 1 779 1 780 1 784 3 786 1 790 1 791 2 792 1 793 1 794 1 800 2 802 1 803 1 804 3 805 2 806 3 807 1 808 1 809 2 810 1 811 2 813 2 814 5 815 1 816 1 817 4 818 1 819 1 820 1 821 3 822 3 823 1 824 2 825 1 826 3 828 1 829 3 830 4 831 3 832 1 833 1 834 1 835 5 836 1 837 1 838 2 839 2 841 3 842 1 843 1 844 4 845 1 847 2 848 2 849 2 850 1 851 2 852 1 853 1 854 4 855 1 900 2 902 2 903 6 904 2 905 4 906 2 907 4 908 1 909 1 911 2 912 1 913 1 914 2 915 2 916 3 917 2 919 1 920 4 921 2 922 1 923 1 924 4 925 1 926 4 927 1 928 3 929 3 931 1 932 1 934 5 935 5 936 1 937 1 938 1 939 5 940 6 941 2 942 4 944 1 945 2 947 1 948 2 949 1 950 6 951 1 952 2 953 4 954 3 955 3 956 6 957 2 958 5 959 2 961 4 962 2 963 2 964 4 965 3 966 4 967 2 968 3 970 1 971 1 972 2 973 2 974 3 975 1 976 1 978 5 979 2 980 3 982 2 983 1 984 2 985 2 986 2 987 4 988 1 990 6 991 2 992 3 993 3 994 1 995 5 996 2 997 6 998 5 999 2 1000 1 1001 1 1002 6 1003 4 1004 5 1005 1 1006 1 1007 2 1008 1 1009 1 1010 1 1011 3 1012 1 1013 2 1014 1 1015 3 1016 1 1017 1 1018 1 1020 1 1021 4 1022 2 1023 2 1024 5 1025 1 1026 2 1027 1 1029 2 1030 1 1031 2 1100 2 1101 1 1102 1 1104 3 1105 2 1106 2 1107 2 1108 1 1109 3 1110 1 1111 1 1113 2 1114 1 1115 4 1116 4 1117 6 1118 3 1119 1 1120 1 1122 2 1124 2 1125 2 1126 3 1127 2 1129 3 1130 1 1131 2 1132 6 1133 6 1136 5 1138 3 1139 3 1141 1 1142 3 1143 3 1144 1 1145 5 1146 2 1150 2 1151 3 1152 1 1153 1 1154 1 1155 3 1159 2 1160 1 1161 1 1167 3 1169 1 1170 1 1171 6 1201 4 1202 2 1204 2 1205 2 1207 1 1208 1 1209 2 1210 3 1211 1 1212 2 1214 1 1215 3 1216 2 1218 1 1219 1 1220 1 1221 2 1223 2 1225 1 1227 1 1229 1 1231 2 1232 5 1234 2 1235 3 1236 2 1239 3 1240 1 1241 2 1242 4 1243 1 1245 2 1246 3 1248 6 1249 2 1250 5 1251 2 1253 4 1254 2 1255 1 1257 2 1259 1 1261 2 1264 6 1265 1 1266 1 1269 2 1270 1 1271 1 1272 1 1273 1 1274 1 1275 4 1277 2 1278 1 1280 3 1284 2 1285 1 9012 1 9019 1 9134 2 9166 1 9210 1 9212 1 9216 3 9240 1 9255 1 9265 1 9275 1 9280 1 9412 1 9608 1 9653 1 9694 1 Respondent ID Respondent ID 1274 0 1 462 2 765 3 41 4 2 5 2 6 1 7 1 Day of interview Date of Interview. Day. 1274 0 1 31 15.946 8.671 1 23 2 34 3 27 4 58 5 49 6 37 7 52 8 33 9 54 10 40 11 34 12 46 13 48 14 51 15 58 16 57 17 29 18 36 19 36 20 38 21 37 22 44 23 31 24 24 25 37 26 53 27 44 28 62 29 35 30 54 31 13 Month of interview Date of Interview. Month. 1274 0 3 129 4 276 5 214 6 270 7 287 8 98 Year of interview Date of Interview. Year. 1274 0 2004 1274 Count Section A 1274 0 Count Section B 1274 0 Count Section D 1274 0 ID code Primary female respondent ID Code Please list the household ID numbers (and episode numbers) of all sick individuals. All sick household members. 1274 0 1 629 2 330 3 161 4 89 5 44 6 21 ID code Primary female respondent ID Code All sick household members. 1274 0 1 307 2 299 3 198 4 169 5 111 6 81 7 54 8 24 9 14 10 8 11 2 12 2 13 4 14 1 Episode number Primary female respondent Episode number for [NAME] All sick household members. 1274 0 1 98 1.271 2.765 1 1086 2 142 3 34 4 7 5 3 6 1 98 1 Date started (Month) Primary female respondent Date started. Month. All sick household members. 1274 0 1 99 7.495 12.623 1 42 2 72 3 71 4 180 5 167 6 276 7 179 8 154 9 25 10 23 11 20 12 42 98 2 99 21 Date started (Year) Primary female respondent Date started. Year. All sick household members. 1274 0 2000 2 2002 307 2003 578 2004 387 Length of episode - Time Primary female respondent Length of Episode. All sick household members. 1274 0 1 99 3.234 3.661 Length of episode - Unit Primary female respondent Length of Episode. Time Units. All sick household members. 1274 0 1 Minutes 0 2 Hours 2 3 Days 724 4 Weeks 452 5 Months 83 6 Year 0 8 12 9 1 Where illness diagnosed as malaria Primary female respondent Where was this illness diagnosed as malaria? All sick household members. 1274 0 1 National Referral Hosp. (Kenyatta, Moi) 45 2 Government District/Provincial Hosp. 160 3 Mosoriot Rural Health Center 543 4 Government Health Center (exc. Mosoriot) 108 5 Government dispensary 140 6 Mission hospital/clinic 24 7 Other private hospital/clinic 86 8 Chemist/pharmacy 15 9 Private doctor (like priv. clinic) 39 10 Mobile clinic 1 11 Community health worker 0 12 Retail shop 2 13 Herbalist/traditional healer 5 14 Relative/friend 3 15 Other (specify) 0 98 Self 103 Medicines used Primary female respondent Were any medicines used by [NAME]? If answer is 2 > Go to next episode. All sick household members. 1274 0 1 Yes 1237 2 No 35 98 2 Which medicines - 1 Primary female respondent Which medicines? * List up to 3 medicine codes. All sick household members. 1235 39 1 Antipyretics (aspro, calpol, brufen, etc) 397 2 Chloroquine (malaroquine, etc) 137 3 Sulfa combinations (fansidar,metakelfin) 316 4 Halofantrine (hanfan) 4 5 Amodiaquine (camoquine) 83 6 Cotrimoxazole (bactrim, septrin) 10 7 Artimisinin (artenam, artomothor) 3 8 Herbal/traditional remedies 7 9 Other, specify 278 Sysmiss 39 Which medicines - 2 Primary female respondent Which medicines? * List up to 3 medicine codes. All sick household members. 849 425 1 Antipyretics (aspro, calpol, brufen, etc) 184 2 Chloroquine (malaroquine, etc) 70 3 Sulfa combinations (fansidar,metakelfin) 275 4 Halofantrine (hanfan) 9 5 Amodiaquine (camoquine) 94 6 Cotrimoxazole (bactrim, septrin) 31 7 Artimisinin (artenam, artomothor) 4 8 Herbal/traditional remedies 5 9 Other, specify 177 Sysmiss 425 Which medicines - 3 Primary female respondent Which medicines? * List up to 3 medicine codes. All sick household members. 256 1018 1 Antipyretics (aspro, calpol, brufen, etc) 27 2 Chloroquine (malaroquine, etc) 1 3 Sulfa combinations (fansidar,metakelfin) 19 4 Halofantrine (hanfan) 2 5 Amodiaquine (camoquine) 31 6 Cotrimoxazole (bactrim, septrin) 19 7 Artimisinin (artenam, artomothor) 5 8 Herbal/traditional remedies 3 9 Other, specify 149 Sysmiss 1018 Health Module 104 0 1 Yes 104 2 No 0 Household ID Household ID 104 0 20 9412 917.817 873.302 20 1 46 1 55 1 84 1 104 1 252 1 350 1 409 1 534 1 539 1 560 1 565 1 568 1 580 1 581 1 588 1 598 1 728 1 737 1 764 1 783 1 801 1 802 1 806 1 811 3 814 1 818 1 819 1 823 1 824 1 827 1 828 1 835 1 840 1 844 2 846 1 854 1 855 1 905 2 906 2 913 1 916 1 919 1 920 1 923 1 926 1 931 1 932 2 933 2 937 1 940 1 943 2 947 3 949 1 950 1 956 3 957 2 958 1 961 2 964 1 969 1 970 1 975 3 976 1 978 1 979 1 980 1 982 1 988 1 992 2 994 2 995 1 999 1 1000 1 1006 1 1013 1 1014 1 1015 1 1016 1 1019 1 1023 1 1024 1 1028 1 1029 1 1254 1 9412 1 Respondent ID Respondent ID 104 0 1 58 2 41 3 3 4 1 6 1 Day of interview Date of Interview. Day. 104 0 1 31 16.404 9.014 1 3 2 6 4 4 5 2 6 3 7 5 8 3 9 6 10 2 11 5 12 1 14 3 15 4 16 5 17 2 18 3 21 10 22 5 23 1 24 2 25 9 26 2 27 8 28 3 29 2 30 4 31 1 Month of interview Date of Interview. Month. 104 0 3 3 4 6 5 17 6 54 7 20 8 4 Year of interview Date of Interview. Year. 104 0 2004 104 Count Section A 104 0 Count Section B 104 0 Count Section D 104 0 ID code Primary female respondent ID Code Please list the household ID numbers (and episode numbers) of all sick individuals. All sick household members. 104 0 1 86 2 14 3 4 ID code Primary female respondent ID Code All sick household members. 104 0 1 98 2.846 9.544 1 59 2 23 3 8 4 6 5 2 6 2 7 2 9 1 98 1 Episode number Primary female respondent Episode number for [NAME] All sick household members. 104 0 1 95 2 8 3 1 Date started (Month) Primary female respondent Date started. Month. All sick household members. 104 0 1 99 9.798 20.316 1 7 2 13 3 14 4 12 5 9 6 16 7 5 8 4 9 8 10 3 11 4 12 4 98 1 99 4 Date started (Year) Primary female respondent Date started. Year. All sick household members. 104 0 1989 1 1998 1 1999 2 2000 16 2001 11 2002 15 2003 33 2004 25 Length of episode - Time Primary female respondent Length of Episode. All sick household members. 104 0 1 90 8.51 15.149 Length of episode - Unit Primary female respondent Length of Episode. Time Units. All sick household members. 104 0 1 Minutes 0 2 Hours 0 3 Days 15 4 Weeks 6 5 Months 57 6 Year 25 8 1 Where illness was diagnosed as tuberclosis Primary female respondent Where was this illness diagnosed as tuberculosis? All sick household members. 104 0 1 National Referral Hosp. (Kenyatta, Moi) 16 2 Government District/Provincial Hosp. 13 3 Mosoriot Rural Health Center 59 4 Government Health Center (exc. Mosoriot) 6 5 Government dispensary 3 6 Mission hospital/clinic 0 7 Other private hospital/clinic 6 8 Chemist/pharmacy 0 9 Private doctor (like priv. clinic) 1 10 Mobile clinic 0 11 Community health worker 0 12 Retail shop 0 13 Herbalist/traditional healer 0 14 Relative/friend 0 15 Other (specify) 0 98 Self 0 Medicines used Primary female respondent Were any medicines used by [NAME]? If answer is 2 > Go to next episode. All sick household members. 104 0 1 Yes 103 2 No 1 Which medicines - 1 Primary female respondent Which medicines? * List up to 3 medicine codes. All sick household members. 103 1 1 Streptosin 28 2 Pyrazinamide 4 3 Ethambutol 24 4 Isoniazid 6 5 Rifampicin 4 9 37 Sysmiss 1 Which medicines - 2 Primary female respondent Which medicines? * List up to 3 medicine codes. All sick household members. 51 53 1 Streptosin 6 2 Pyrazinamide 6 3 Ethambutol 11 4 Isoniazid 16 5 Rifampicin 11 9 1 Sysmiss 53 Which medicines - 3 Primary female respondent Which medicines? * List up to 3 medicine codes. All sick household members. 33 71 1 Streptosin 2 2 Pyrazinamide 6 3 Ethambutol 5 4 Isoniazid 2 5 Rifampicin 17 9 1 Sysmiss 71 Health Module 158 0 1 Yes 158 2 No 0 Household ID Household ID 158 0 8 9280 961.19 1526.488 8 2 12 1 13 1 25 2 29 1 32 1 60 1 74 1 89 1 104 1 108 1 112 1 117 1 120 1 171 1 218 1 250 3 251 1 252 2 258 1 277 1 310 2 313 1 356 1 357 1 434 1 451 1 455 1 457 1 464 1 468 1 469 1 470 1 482 1 484 1 487 1 500 1 501 1 508 1 511 1 521 1 526 1 527 1 535 1 540 1 544 1 556 1 562 1 564 1 568 1 581 1 582 1 593 1 597 1 601 1 602 1 605 1 617 2 619 1 621 1 623 1 626 1 633 1 640 1 701 1 731 1 740 1 741 1 776 1 804 1 805 1 810 1 811 1 812 1 815 1 819 1 820 1 824 1 829 1 830 1 833 1 839 1 843 1 852 1 853 1 854 1 901 1 904 1 905 1 906 1 907 1 917 1 918 1 921 1 926 1 927 1 928 2 929 1 932 1 934 1 936 1 945 1 956 4 959 1 961 2 962 1 964 1 967 1 972 1 975 1 982 1 987 1 989 2 995 1 999 1 1000 1 1005 2 1011 1 1019 1 1023 1 1108 1 1117 2 1119 1 1123 1 1124 1 1125 1 1132 1 1137 1 1145 1 1152 1 1171 1 1210 1 1240 1 1246 1 1253 1 1259 1 1265 1 1271 1 9043 2 9216 1 9265 1 9280 1 Respondent ID Respondent ID 158 0 1 63 2 84 3 11 Day of interview Date of Interview. Day. 158 0 1 31 17.646 8.668 1 3 2 5 3 2 4 3 5 2 6 6 7 2 8 7 9 7 10 4 11 2 12 5 13 2 14 4 15 8 16 13 17 5 18 4 19 4 20 2 21 10 22 5 23 2 24 2 25 10 26 8 27 2 28 11 29 4 30 11 31 3 Month of interview Date of Interview. Month. 158 0 3 21 4 37 5 25 6 40 7 29 8 6 Year of interview Date of Interview. Year. 158 0 2004 158 Count Section A 158 0 Count Section B 158 0 Count Section D 158 0 ID Code Primary female respondent ID Code Please list the household ID numbers (and episode numbers) of all sick individuals. All sick household members. 158 0 1 142 2 13 3 2 4 1 ID Code Primary female respondent ID Code All sick household members. 158 0 1 66 2 62 3 16 4 4 5 3 6 2 7 1 8 2 9 2 Episode number Primary female respondent Episode number for [NAME] All sick household members. 158 0 1 148 2 7 3 2 4 1 Date started (Month) Primary female respondent Date started. Month. All sick household members. 158 0 1 99 14.139 26.715 1 6 2 19 3 14 4 18 5 12 6 21 7 8 8 17 9 5 10 7 11 7 12 10 99 14 Date started (Year) Primary female respondent Date started. Year. All sick household members. 158 0 1999 1 2000 17 2001 18 2002 36 2003 60 2004 26 Length of episode - Time Primary female respondent Length of Episode. All sick household members. 158 0 1 50 4.044 6.141 Length of episode - Unit Primary female respondent Length of Episode. Time Unit. All sick household members. 158 0 1 Minutes 0 2 Hours 0 3 Days 44 4 Weeks 60 5 Months 52 6 Year 2 Where illness was diagnosed as typhoid Primary female respondent Where was this illness diagnosed as typhoid? All sick household members. 158 0 1 National Referral Hosp. (Kenyatta, Moi) 25 2 Government District/Provincial Hosp. 29 3 Mosoriot Rural Health Center 41 4 Government Health Center (exc. Mosoriot) 19 5 Government dispensary 7 6 Mission hospital/clinic 7 7 Other private hospital/clinic 21 8 Chemist/pharmacy 0 9 Private doctor (like priv. clinic) 7 10 Mobile clinic 0 11 Community health worker 0 12 Retail shop 0 13 Herbalist/traditional healer 2 14 Relative/friend 0 15 Other (specify) 0 98 Self 0 Medicine used Primary female respondent Were any medicines used by [NAME]? If answer is 2 > Go to next episode. All sick household members. 158 0 1 Yes 158 2 No 0 Which medicine - 1 Primary female respondent Which medicines? *List up to 3 medicine codes. All sick household members. 155 3 1 Ampicillin 21 2 Amoxicillin 36 3 Septrin 11 4 Chloramphenicol 6 8 1 9 80 Sysmiss 3 Which medicine - 2 Primary female respondent Which medicines? *List up to 3 medicine codes. All sick household members. 52 106 1 Ampicillin 3 2 Amoxicillin 14 3 Septrin 18 4 Chloramphenicol 17 Sysmiss 106 Which medicine - 3 Primary female respondent Which medicines? *List up to 3 medicine codes. All sick household members. 21 137 1 Ampicillin 0 2 Amoxicillin 1 3 Septrin 4 4 Chloramphenicol 9 5 1 8 1 9 5 Sysmiss 137 Health Module 15 0 1 Yes 15 2 No 0 Household ID Household ID 15 0 8 8043 1200.8 1922.527 8 1 84 1 406 1 563 1 625 1 679 1 800 1 818 1 933 2 947 1 971 1 979 1 1223 1 8043 1 Respondent ID Respondent ID 15 0 1 3 2 10 3 2 Day of interview Date of Interview. Day. 15 0 1 30 15 9.381 1 1 3 2 6 1 9 1 10 1 14 1 16 2 21 2 24 2 27 1 30 1 Month of interview Date of Interview. Month. 15 0 3 2 4 2 5 5 6 3 7 2 8 1 Year of interview Date of Interview. Year. 15 0 2004 15 Count Section A 15 0 Count Section B 15 0 Count Section D 15 0 ID code Primary female respondent ID Code Please list the household ID numbers (and episode numbers) of all sick individuals. All sick household members. 15 0 1 14 2 1 ID code Primary female respondent ID Code All sick household members. 15 0 1 4 2 5 3 3 4 1 6 2 Episode number Primary female respondent Episode number for [NAME] All sick household members. 15 0 1 14 2 1 Date started (Month) Primary female respondent Date started. Month. All sick household members. 15 0 1 99 18.867 32.472 1 1 3 1 4 2 5 2 6 1 8 1 9 2 10 1 11 2 98 1 99 1 Date started (Year) Primary female respondent Date started. Year. All sick household members. 15 0 1990 1 2000 2 2001 6 2003 4 2004 2 Length of episode - Time Primary female respondent Length of Episode. All sick household members. 15 0 1 30 5.733 7.869 Length of episode - Unit Primary female respondent Length of Episode. Time Unit. All sick household members. 15 0 1 Minutes 0 2 Hours 0 3 Days 5 4 Weeks 5 5 Months 3 6 Year 2 Where illness was diagnosed as meningitis Primary female respondent Where was this illness diagnosed as meningitis? All sick household members. 15 0 1 National Referral Hosp. (Kenyatta, Moi) 7 2 Government District/Provincial Hosp. 5 3 Mosoriot Rural Health Center 1 4 Government Health Center (exc. Mosoriot) 0 5 Government dispensary 0 6 Mission hospital/clinic 1 7 Other private hospital/clinic 1 8 Chemist/pharmacy 0 9 Private doctor (like priv. clinic) 0 10 Mobile clinic 0 11 Community health worker 0 12 Retail shop 0 13 Herbalist/traditional healer 0 14 Relative/friend 0 15 Other (specify) 0 98 Self 0 Medicines used Primary female respondent Were any medicines used by [NAME]? If answer is 2 > Go to next episode. All sick household members. 15 0 1 Yes 15 2 No 0 Which medicines - 1 Primary female respondent Which medicines? * List up to 3 medicine codes. All sick household members. 15 0 1 Expen 2 2 Ampicillin 8 3 Chloramphenicol 0 4 Cefotaxine 2 9 3 Which medicines - 2 Primary female respondent Which medicines? * List up to 3 medicine codes. All sick household members. 7 8 1 Expen 1 2 Ampicillin 0 3 Chloramphenicol 4 4 Cefotaxine 2 Sysmiss 8 Which medicines - 3 Primary female respondent Which medicines? * List up to 3 medicine codes. All sick household members. 1 14 1 Expen 0 2 Ampicillin 0 3 Chloramphenicol 0 4 Cefotaxine 1 Sysmiss 14 Food consumption Module 12987 2134 1 Yes 12987 2 No 0 Sysmiss 2134 Household ID Household ID 15121 0 1 9694 882.811 1425.367 Respondent ID Respondent ID 15121 0 1 5280 2 9301 3 389 4 90 5 45 7 16 Day of interview Date of Interview. Day. 15121 0 1 31 15.921 8.612 1 243 2 399 3 427 4 561 5 530 6 519 7 622 8 454 9 634 10 581 11 385 12 389 13 572 14 639 15 553 16 630 17 362 18 378 19 677 20 473 21 503 22 575 23 343 24 339 25 417 26 512 27 489 28 717 29 425 30 566 31 207 Month of interview Date of Interview. Month. 15121 0 3 2064 4 3763 5 2834 6 2691 7 2768 8 1001 Year of interview Date of Interview. Year. 15121 0 2004 15121 Item code Ask for all of the following crops/livestock. 15121 0 1 Tea, coffee, or cocoa 812 2 Maize 816 3 Wheat 22 4 Millet or sorghum 356 5 Rice 665 6 Beans, peas, cowpeas, other pulses 677 7 Groundnuts 27 8 Sunflower seeds 0 9 Avocado 254 10 Sugar, candy, honey, or sugarcane 903 11 Yams or sweet potatoes 195 12 Cassava 19 13 Irish Potatoes 584 14 Sukuma wiki 770 15 Spinach 177 16 Capsicums/green peppers 25 17 Tomatoes 740 18 Onions 736 19 Eggplant 12 20 Cabbage 740 21 Carrots 57 22 Chillies 28 23 Bananas 382 24 Mangoes 216 25 Oranges/Citrus 425 26 Pineapple 101 27 Other veg./fruits (specify) 574 28 Chicken, duck, other poultry 270 29 Beef 483 30 Mutton (goat) 242 31 Pork 8 32 Lamb (sheep) 31 33 Rabbit 4 34 Turkey 1 35 Other livestock (specify) 2 36 Eggs (all birds) 612 37 Fresh milk 783 38 Yogurt (mala), cheese, other milk product 238 39 Wheat flour, bread 671 40 Cooking oils/fats 818 41 Baby food, excluding milk 13 42 Snacks 15 43 Milk powder 9 44 Tinned meats, fish, vegs., fruit 2 45 Other prepared foods consumed at home 1 46 Spices 294 47 Fish 215 48 Other non-seasonal items (specify) 96 Has members eaten any foods grown by household In the past 4 weeks (since ____), have the members of your household eaten any foods grown by your household or any products from animals belonging to your household? If answer is 2 > Go to section II (fcp01 - variable name in dataset). 12987 2134 1 Yes 11807 2 No 1180 Sysmiss 2134 HH members eaten In the past 4 weeks, have members of your household eaten [ITEM] that was grown, kept, or produced by your household? If answer is 2 > Go to next item. 11807 3314 1 Yes 4062 2 No 7711 8 34 Sysmiss 3314 How much entire hh consume (Quantity) How much did the entire household consume in the past 4 weeks? Quantity. 4062 11059 50 150000 1914.746 3760.45 How much entire hh consume (Unit codes) How much did the entire household consume in the past 4 weeks? Unit Codes. 4062 11059 1 Grams 7 2 Kilograms 159 3 Goro goros (2 Kgs.) 910 4 Debbes 142 5 Litres 732 6 Bunches 1066 7 Bags/Sacks 72 8 Pieces 763 9 Tins 0 10 Dozens 130 11 Other (specify) 68 30 1 98 12 Sysmiss 11059 How much would it have cost How much would it have cost to buy this total quantity? Value in KSh. Go to next item. 4062 11059 4 16800 365.38 592.538 Purchased In the past 4 weeks, have members of your household purchased [ITEM] for consumption by your household? If answer is 2 > Go to next item. 15121 0 1 Yes 11334 2 No 3785 8 2 How much honey purchased (Quantity) How much did the entire household purchase in the past 4 weeks? Quantity. 11334 3787 25 750000 4534.183 16922.104 How much honey purchased (unit) How much did the entire household purchase in the past 4 weeks? Unit. 11334 3787 1 Grams 1101 2 Kilograms 4331 3 Goro goros (2 Kgs.) 1365 4 Debbes 64 5 Litres 267 6 Bunches 1551 7 Bags/Sacks 21 8 Pieces 2353 9 Tins 77 10 Dozens 53 11 Other (specify) 128 98 23 Sysmiss 3787 How much did it cost How much did it cost to buy the total quantity they ate? Value in KSh. Go to next item. 11334 3787 3 4500 179.574 259.392 Non-food module 11877 0 1 Yes 11877 2 No 0 Household ID Household ID 11877 0 1 9694 753.57 1128.688 1 14 3 26 4 23 5 18 6 19 7 23 8 17 9 27 10 19 11 12 12 14 13 35 14 19 15 10 16 20 17 22 18 18 19 21 20 21 21 17 22 20 23 5 24 12 25 19 26 19 27 24 28 18 29 25 30 5 31 9 32 19 33 13 34 21 35 11 38 25 39 16 41 21 43 10 44 24 46 7 47 8 48 24 49 6 50 8 51 6 53 19 55 8 56 16 58 8 60 20 61 25 62 20 64 29 65 21 66 7 67 25 68 10 69 22 70 24 73 11 74 6 75 21 76 26 77 9 78 8 79 11 80 22 82 23 84 10 89 6 93 10 94 16 95 24 97 12 98 16 99 9 102 18 103 25 104 20 106 21 108 15 109 23 110 5 111 8 112 21 113 10 114 9 115 24 117 23 120 9 121 7 123 11 124 10 125 22 128 8 150 22 151 17 152 26 154 18 155 5 156 21 158 22 161 18 162 30 163 6 164 8 165 13 166 20 167 22 168 7 169 10 170 24 171 14 172 13 173 18 174 18 200 5 201 18 202 8 203 23 204 28 205 7 206 26 207 25 208 22 209 27 210 20 211 17 212 25 213 23 216 21 217 25 218 12 219 9 221 15 222 21 223 25 250 13 251 14 252 20 253 9 254 22 255 8 256 22 257 27 258 19 259 19 260 25 261 38 262 13 263 23 264 30 265 19 266 26 267 18 268 17 269 24 273 11 274 16 275 16 276 16 277 20 278 14 279 26 280 22 281 18 282 13 300 23 301 22 302 17 303 8 304 22 305 10 306 21 307 9 309 22 310 13 311 8 312 7 313 20 314 13 315 9 316 7 317 8 318 14 350 7 351 7 352 21 353 28 354 16 355 21 356 14 357 20 358 9 359 12 360 17 361 26 362 30 363 11 364 9 365 20 366 25 368 16 369 11 372 5 400 15 401 9 402 24 403 14 404 24 405 10 406 29 407 26 409 9 410 29 411 9 412 18 415 16 416 7 417 21 418 5 419 22 420 8 421 15 422 6 423 23 425 4 426 14 427 15 428 29 429 26 430 23 431 24 434 12 436 18 438 26 450 6 451 8 452 16 453 12 454 19 455 9 456 43 457 15 458 5 459 15 460 23 461 12 462 20 463 5 464 7 465 21 466 15 467 23 468 21 469 20 470 11 473 14 475 17 476 18 477 8 478 10 479 29 480 24 481 18 482 26 483 18 484 7 485 22 486 15 487 11 488 6 489 9 490 11 500 18 501 11 502 5 504 19 505 6 506 31 507 10 508 15 509 25 510 16 511 21 512 23 513 5 514 28 515 5 516 7 518 19 519 13 520 10 521 22 522 18 523 15 524 35 525 18 526 15 527 17 528 21 529 21 530 6 531 18 532 19 533 19 534 23 535 28 537 16 538 8 539 6 540 16 541 6 542 18 543 13 544 17 545 16 546 35 547 3 548 11 549 10 550 28 551 30 552 15 554 28 556 11 557 21 559 8 560 19 562 8 563 2 564 23 565 4 566 24 568 8 580 9 581 5 582 14 585 16 587 9 588 21 589 8 590 17 591 25 593 9 594 23 595 15 597 18 598 9 599 16 600 26 601 9 602 7 603 22 604 21 605 22 607 22 608 19 609 20 610 18 611 17 612 7 614 12 615 18 616 25 617 17 618 27 619 12 620 24 621 15 622 23 623 11 624 22 625 21 626 20 627 12 628 12 630 17 631 16 632 16 633 14 634 28 635 12 637 13 639 7 640 10 652 17 653 10 656 11 658 20 660 27 663 15 665 11 666 8 667 14 670 15 671 16 673 21 674 12 675 24 676 18 677 26 678 16 679 20 680 23 681 10 682 19 683 8 686 4 687 14 688 24 689 25 690 8 691 10 692 14 693 16 694 5 696 17 697 16 698 16 699 20 700 27 701 9 702 21 703 7 706 16 707 14 708 18 709 20 710 20 711 10 712 13 715 29 716 30 717 23 720 17 721 19 722 9 723 15 724 18 725 12 726 4 727 16 728 9 730 7 731 21 732 7 733 13 735 10 736 8 737 9 738 10 739 18 740 20 741 13 742 12 746 24 747 26 748 16 751 10 752 7 755 17 757 22 758 15 764 15 766 16 775 6 776 20 779 25 780 27 781 23 783 21 784 10 786 10 787 9 790 18 791 6 792 9 793 18 794 7 800 8 801 13 802 7 803 14 804 8 805 7 806 8 807 10 808 5 809 5 810 9 811 7 812 8 813 9 814 12 815 7 816 12 817 17 818 6 819 8 820 10 821 7 822 4 823 3 824 6 825 12 826 11 827 10 828 7 829 16 830 7 831 9 832 7 833 7 834 8 835 11 836 10 837 11 838 9 839 11 840 7 841 6 842 9 843 11 844 19 845 7 846 26 847 13 848 8 849 8 850 17 851 11 852 11 853 4 854 11 855 10 856 12 900 9 901 11 902 14 903 2 904 8 905 15 906 8 907 11 908 6 909 9 911 3 912 12 913 25 914 10 915 12 916 9 917 8 918 23 919 8 920 15 921 9 922 12 923 11 924 4 925 15 926 11 927 6 928 4 929 8 930 5 931 8 932 9 933 8 934 13 935 7 936 11 937 8 938 5 939 7 940 10 941 20 942 11 943 22 944 6 945 7 946 9 947 10 948 11 949 10 950 6 951 3 952 11 953 14 954 5 955 12 956 9 957 12 958 17 959 4 960 6 961 7 962 12 963 7 964 17 965 6 966 5 967 11 968 6 969 12 970 7 971 5 972 12 973 11 974 9 975 14 976 7 977 8 978 7 979 11 980 9 982 13 983 8 984 9 985 12 986 11 987 10 988 7 989 11 990 14 991 11 992 13 993 12 994 14 995 9 996 14 997 7 998 9 999 13 1000 19 1001 12 1002 10 1003 11 1004 10 1005 4 1006 14 1007 4 1008 9 1009 9 1010 11 1011 9 1012 7 1013 9 1014 6 1015 6 1016 9 1017 15 1018 7 1019 9 1020 11 1021 9 1022 13 1023 8 1024 12 1025 5 1026 19 1027 8 1028 7 1029 8 1030 5 1031 7 1100 19 1101 9 1102 22 1104 24 1105 9 1106 25 1107 11 1108 17 1109 9 1110 17 1111 6 1113 8 1114 8 1115 17 1116 16 1117 10 1118 13 1119 14 1120 19 1121 7 1122 18 1123 15 1124 22 1125 9 1126 26 1127 11 1129 11 1130 17 1131 9 1132 8 1133 8 1134 5 1136 21 1137 7 1138 20 1139 18 1141 23 1142 27 1143 15 1144 8 1145 8 1146 12 1150 10 1151 15 1152 16 1153 11 1154 21 1155 21 1156 7 1157 19 1158 12 1159 9 1160 23 1161 30 1167 19 1168 9 1169 10 1170 14 1171 18 1173 14 1200 10 1201 10 1202 18 1203 13 1204 23 1205 15 1206 7 1207 5 1208 19 1209 17 1210 7 1211 21 1212 9 1214 22 1215 12 1216 19 1218 10 1219 24 1220 10 1221 24 1223 26 1225 17 1227 21 1228 18 1229 9 1230 15 1231 18 1232 25 1234 25 1235 18 1236 25 1237 8 1239 12 1240 12 1241 24 1242 5 1243 8 1244 10 1245 18 1246 20 1247 13 1248 25 1249 12 1250 24 1251 16 1252 4 1253 9 1254 12 1255 21 1257 9 1259 11 1261 16 1263 13 1264 22 1265 21 1266 30 1269 24 1270 19 1271 5 1272 19 1273 18 1274 18 1275 15 1276 19 1277 8 1278 11 1279 26 1280 7 1281 6 1282 21 1283 11 1284 17 1285 17 8043 13 9012 11 9019 5 9043 6 9134 4 9166 8 9210 12 9212 18 9216 4 9225 8 9240 8 9255 9 9265 8 9275 6 9280 9 9412 9 9518 7 9608 6 9616 5 9653 7 9667 10 9694 11 Respondent ID Respondent ID 11877 0 1 7080 2 4589 3 162 4 26 5 9 7 11 Day of interview Date of Interview. Day. 11877 0 1 31 15.85 8.655 1 214 2 321 3 364 4 444 5 462 6 455 7 420 8 355 9 399 10 452 11 288 12 335 13 470 14 527 15 354 16 475 17 351 18 301 19 529 20 440 21 403 22 492 23 212 24 237 25 231 26 458 27 370 28 527 29 393 30 440 31 158 Month of interview Date of Interview. Month. 11877 0 1 11 2 17 3 1794 4 3409 5 2350 6 1553 7 1924 8 819 Year of interview Date of Interview. Year. 11877 0 2004 11877 Item code Primary male and female respondent I would like to ask you about non-food items you (and only you) may have purchased for you or anyone in your household in the past four weeks. Don't include items that were purchased for school. Item name 11877 0 1 Adult clothing 923 2 Clothing for children under 12 (exclude school clothing) 796 3 Fabric or Cloth & Tailored clothes 122 4 Other clothing 162 5 Footwear (not for school) 786 6 Jewelry, watches, bracelets 40 7 Toys 71 8 Haircuts, hair dressing 727 9 Umbrellas, handbags, wallets 129 10 Food outside the home (at restaurants, bars, bought on street) 568 11 Beverages outside home 355 12 Tobacco, cigarettes 115 13 Toilet soap, washing 1154 14 powder, toothpaste, etc. 855 15 Transportation 201 16 Bedding 188 17 Newspapers, books (not for school) 247 18 Kitchen utensils, pots & pans 315 19 Charcoal 1137 20 Kerosene 34 21 Gas 50 22 Other fuel (specify) 2 23 Weddings/engagements (excluding gifts) 713 24 Funerals 356 25 Naming ceremonies 22 26 Circumcision ceremonies 150 27 Other ceremonies (excluding gifts) 46 28 Harambee (non-school) 304 29 Church contributions 1037 30 Vacations/Holidays 242 31 Birthdays 30 Item code is created from an item list in the questionnaire. Purchased Primary male and female respondent In the past 4 weeks, have you purchased any [ITEM]? If answer is 2 > Go to 3 (nf03 - variable name in dataset). 8977 2900 1 Yes 6289 2 No 2667 8 21 Sysmiss 2900 How much spend Primary male and female respondent How much in total did you spend on [ITEM] in the past 4 weeks? Value in KSh. 6289 5588 0 17000 336.379 709.107 In DEC 2003 purchase Primary male and female respondent In December 2003, did you purchase any [ITEM]? If answer is 2 > Go to next item. 8977 2900 1 Yes 7802 2 No 1128 8 47 Sysmiss 2900 How much spend in DEC 2003 Primary male and female respondent How much in total did you spend on [ITEM] in December 2003? Value in KSh. 7802 4075 0 36000 721.761 1360.385 Spend any money Primary male and female respondent Now I would like to ask you some questions about your (and only your) expenditures on ceremonies and events in the past month. In the past 4 weeks, have you spent any money on [EVENT]? If answer is 2 > Go to 7 (nf07 - variable name in dataset). 2900 8977 1 Yes 1831 2 No 1065 8 4 Sysmiss 8977 How much spend Primary male and female respondent How much in total did you spend on [EVENT]? Value in KSh. 1831 10046 5 35000 335.498 1345.011 In DEC 2003 spend money Primary male and female respondent In December 2003, did you spend any money on [EVENT]? If answer is 2 > Go to next item. 2900 8977 1 Yes 2297 2 No 587 8 16 Sysmiss 8977 How much spend in DEC 2003 Primary male and female respondent How much in total did you spend on [EVENT] in December 2003? Value in KSh. 2297 9580 0 30000 716.482 1885.122 Assets module 811 0 1 Yes 811 Household ID Household ID 811 0 1 9694 798.933 1145.57 1 1 3 1 4 1 5 1 6 1 7 1 8 1 9 1 10 1 11 1 12 1 13 1 14 1 15 1 16 1 17 1 18 1 19 1 20 1 21 1 22 1 23 1 24 1 25 1 26 1 27 1 28 1 29 1 30 1 31 1 32 1 33 1 34 1 35 1 38 1 39 1 41 1 43 1 44 1 46 1 47 1 48 1 49 1 50 1 53 1 55 1 56 1 58 1 60 1 61 1 62 1 64 1 65 1 66 1 67 1 68 1 69 1 70 1 73 1 74 1 75 1 76 1 77 1 78 1 79 1 80 1 82 1 84 1 89 1 93 1 94 1 95 1 97 1 98 1 99 1 102 1 103 1 104 1 106 1 108 1 109 1 110 1 111 1 112 1 113 1 114 1 115 1 117 1 120 1 121 1 123 1 124 1 125 1 128 1 150 1 151 1 152 1 154 1 155 1 156 1 158 1 161 1 162 1 163 1 164 1 165 1 166 1 167 1 168 1 169 1 170 1 171 1 172 1 173 1 174 1 200 1 201 1 202 1 203 1 204 1 205 1 206 1 207 1 208 1 209 1 210 1 211 1 212 1 213 1 216 1 217 1 218 1 219 1 221 1 222 1 223 1 250 1 251 1 252 1 253 1 254 1 255 1 256 1 257 1 258 1 259 1 260 1 261 1 262 1 263 1 264 1 265 1 266 1 267 1 268 1 269 1 273 1 274 1 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1 559 1 560 1 562 1 563 1 564 1 565 1 566 1 568 1 580 1 581 1 582 1 585 1 587 1 588 1 589 1 590 1 591 1 593 1 594 1 595 1 597 1 598 1 599 1 600 1 601 1 602 1 603 1 604 1 605 1 606 1 607 1 608 1 609 1 610 1 611 1 612 1 615 1 616 1 617 1 618 1 619 1 620 1 621 1 622 1 623 1 624 1 625 1 626 1 627 1 628 1 630 1 631 1 632 1 633 1 634 1 635 1 637 1 639 1 640 1 652 1 653 1 656 1 658 1 660 1 663 1 665 1 666 1 667 1 670 1 671 1 673 1 674 1 675 1 676 1 677 1 678 1 679 1 680 1 681 1 682 1 683 1 686 1 687 1 688 1 689 1 690 1 691 1 692 1 693 1 694 1 696 1 697 1 698 1 699 1 700 1 701 1 702 1 703 1 706 1 707 1 708 1 709 1 710 1 711 1 712 1 715 1 716 1 717 1 720 1 721 1 722 1 723 1 724 1 725 1 726 1 727 1 728 1 730 1 731 1 732 1 733 1 735 1 736 1 737 1 738 1 739 1 740 1 741 1 742 1 746 1 747 1 748 1 751 1 752 1 755 1 757 1 758 1 764 1 766 1 775 1 776 1 779 1 780 1 781 1 783 1 784 1 786 1 787 1 790 1 791 1 792 1 793 1 794 1 800 1 801 1 802 1 803 1 804 1 805 1 806 1 807 1 808 1 809 1 810 1 811 1 812 1 813 1 814 1 815 1 816 1 817 1 818 1 819 1 820 1 821 1 822 1 823 1 824 1 825 1 826 1 827 1 828 1 829 1 830 1 831 1 832 1 833 1 834 1 835 1 836 1 837 1 838 1 839 1 840 1 841 1 842 1 843 1 844 1 845 1 846 1 847 1 848 1 849 1 850 1 851 1 852 1 853 1 854 1 855 1 856 1 900 1 901 1 902 1 903 1 904 1 905 1 906 1 907 1 908 1 909 1 911 1 912 1 913 1 914 1 915 1 916 1 917 1 918 1 919 1 920 1 921 1 922 1 923 1 924 1 925 1 926 1 927 1 928 1 929 1 930 1 931 1 932 1 933 1 934 1 935 1 936 1 937 1 938 1 939 1 940 1 941 1 942 1 943 1 944 1 945 1 946 1 947 1 948 1 949 1 950 1 951 1 952 1 953 1 954 1 955 1 956 1 957 1 958 1 959 1 960 1 961 1 962 1 963 1 964 1 965 1 966 1 967 1 968 1 969 1 970 1 971 1 972 1 973 1 974 1 975 1 976 1 977 1 978 1 979 1 980 1 982 1 983 1 984 1 985 1 986 1 987 1 988 1 989 1 990 1 991 1 992 1 993 1 994 1 995 1 996 1 997 1 998 1 999 1 1000 1 1001 1 1002 1 1003 1 1004 1 1005 1 1006 1 1007 1 1008 1 1009 1 1010 1 1011 1 1012 1 1013 1 1014 1 1015 1 1016 1 1017 1 1018 1 1019 1 1020 1 1021 1 1022 1 1023 1 1024 1 1025 1 1026 1 1027 1 1028 1 1029 1 1030 1 1031 1 1100 1 1101 1 1102 1 1104 1 1105 1 1106 1 1107 1 1108 1 1109 1 1110 1 1111 1 1113 1 1114 1 1115 1 1116 1 1117 1 1118 1 1119 1 1120 1 1121 1 1122 1 1123 1 1124 1 1125 1 1126 1 1127 1 1129 1 1130 1 1131 1 1132 1 1133 1 1134 1 1136 1 1137 1 1138 1 1139 1 1141 1 1142 1 1143 1 1144 1 1145 1 1146 1 1150 1 1151 1 1152 1 1153 1 1154 1 1155 1 1156 1 1157 1 1158 1 1159 1 1160 1 1161 1 1167 1 1168 1 1169 1 1170 1 1171 1 1173 1 1200 1 1201 1 1202 1 1203 1 1204 1 1205 1 1206 1 1207 1 1208 1 1209 1 1210 1 1211 1 1212 1 1214 1 1215 1 1216 1 1218 1 1219 1 1220 1 1221 1 1223 1 1225 1 1227 1 1228 1 1229 1 1230 1 1231 1 1232 1 1234 1 1235 1 1236 1 1237 1 1239 1 1240 1 1241 1 1242 1 1243 1 1244 1 1245 1 1246 1 1247 1 1248 1 1249 1 1250 1 1251 1 1252 1 1253 1 1254 1 1255 1 1257 1 1259 1 1261 1 1263 1 1264 1 1265 1 1266 1 1269 1 1270 1 1271 1 1272 1 1273 1 1274 1 1275 1 1276 1 1277 1 1278 1 1279 1 1280 1 1281 1 1282 1 1283 1 1284 1 1285 1 9012 1 9019 1 9043 1 9134 1 9166 1 9210 1 9225 1 9240 1 9265 1 9518 1 9616 1 9653 1 9694 1 Respondent ID Respondent ID 811 0 1 684 2 104 3 16 4 3 5 2 6 1 7 1 Day of interview Date of Interview. Day. 811 0 1 31 15.932 8.722 1 14 2 29 3 23 4 30 5 25 6 33 7 31 8 16 9 35 10 27 11 21 12 27 13 29 14 33 15 24 16 31 17 22 18 22 19 30 20 28 21 29 22 37 23 17 24 17 25 22 26 30 27 25 28 36 29 28 30 30 31 10 Month of interview Date of Interview. Month. 811 0 3 104 4 196 5 164 6 144 7 145 8 58 Year of interview Date of Interview. Year. 811 0 2004 811 Total land own (Quantity) Primary male respondent How much total land (including plots) do you and members of your household own now? Quantity. Don't include expected inheritances. 811 0 0 9900 683.97 1228.851 Total land own (Unit code) Primary male respondent How much total land (including plots) do you and members of your household own now? Land Unit Code. Don't include expected inheritances. 663 148 1 Acres 656 2 Hectares 4 3 Sq. meters 2 4 Sq. feet 0 8 1 Sysmiss 148 Total land own (Total value if sold) Primary male respondent How much total land (including plots) do you and members of your household own now? Total value if sold today, excluding value of any dwellings and including value of trees. Amount in KSh. Don't include expected inheritances. 663 148 26 9999999 839510.428 1369888.81 How much is owned with other people (Quantity) Primary male respondent Of this land, how much is owned with other people outside the household? Quantity. Make sure to include only the share of the household. Don't include expected inheritances. 663 148 0 9800 25.656 397.701 How much is owned with other people (Unit code) Primary male respondent Of this land, how much is owned with other people outside the household? Land Unit Code. Make sure to include only the share of the household. Don't include expected inheritances. 10 801 1 Acres 9 2 Hectares 0 3 Sq. meters 0 4 Sq. feet 0 8 1 Sysmiss 801 How much is owned with other people (Total value if sold) Primary male respondent Of this land, how much is owned with other people outside the household? Total value if sold today, excluding value of any dwellings and including value of trees. Amount in KSh. Make sure to include only the share of the household. Don't include expected inheritances. 10 801 98 1890000 683009.8 623045.936 IRID of person shared with - 1 Primary male respondent IRID of the person with whom land was shared. Enter 98 if organization/group, 99 if Don't Know. 9 0 98 3 R01 5 R04 1 IRID of person shared with - 2 Primary male respondent IRID of the person with whom land was shared. Enter 98 if organization/group, 99 if Don't Know. 3 0 98 2 R02 1 How much of land have a deed (Quantity) Primary male respondent For how much of this land [refer to total quantity reported for question 1] do you have a deed? Quantity. 663 148 0 9900 674.465 1500.375 How much of land have a deed (Unit code) Primary male respondent For how much of this land [refer to total quantity reported for question 1] do you have a deed? Land Unit Code. 364 447 1 Acres 347 2 Hectares 1 3 Sq. meters 1 4 Sq. feet 0 8 15 Sysmiss 447 How much of land have a deed (total value) Primary male respondent For how much of this land [refer to total quantity reported for question 1] do you have a deed? Total value if sold today, excluding value of any dwellings and including value of trees. Amount in KSh. 364 447 26 7900000 94075.665 641994.18 How much was bought on credit (Quantinty) Primary male respondent Now I would like to ask you about how this land (refer to quantity reported for question 1) was acquired. How much was bought on credit? Quantity. If answer is 0 > Go to 7 (ass07 - variable name in dataset). Of the land amount mentioned in Question 1, ask how much was purchased on credit (i.e., by borrowing). 663 148 0 9800 63.56 760.908 How much was bought on credit (Unit code) Primary male respondent How much was bought on credit? Land Unit Code. Of the land amount mentioned in Question 1, ask how much was purchased on credit (i.e., by borrowing). 21 790 1 Acres 15 2 Hectares 0 3 Sq. meters 0 4 Sq. feet 0 8 6 Sysmiss 790 How much was bought on credit (Total value if sold) Primary male respondent How much was bought on credit? Total value if sold today, excluding value of any dwellings and including value of trees. Amount in KSh. For part c of Question 5, you should ask for the value of the land at the time it was purchased on credit. 21 790 98 1200000 112885.143 259715.796 How much was paid Primary male respondent If any of the land was bought on credit, how much have you paid and what balance remains? Amount paid. In Question 6, you should ask how much of that value has been repaid already (a) and how much remains to be repaid (b). 21 790 0 1200000 108156.857 259288.739 Primary male respondent If any of the land was bought on credit, how much have you paid and what balance remains? Balance. In Question 6, you should ask how much of that value has been repaid already (a) and how much remains to be repaid (b). 21 790 0 45000 9018.667 12963.362 Has anyone sold land since Jan 2000 Primary male respondent Have you or anyone in your household sold any land since January 2000? If answer is 2 > Go to section I-b (Land Gifts to Others)(ldgift - variable name in dataset). 811 0 1 Yes 60 2 No 751 Count of land sales 60 751 Count of land gifts 811 0 Count of land purchases 105 706 Have purchased or acquired land since Jan 2000 Primary male respondent Have you or anyone in your household purchased or acquired any land since January 2000? If answer is 2 > Go to section II. 811 0 1 Yes 105 2 No 706 Anyone sold or given as gift since Jan 2000 Primary male respondent Have you or anyone in your household sold or given as gift any livestock since January 2000? If answer is 2 > Go to section II-b (Acquisitions)(assl10 - variable name in dataset). 811 0 1 Yes 327 2 No 484 Have purchased or aquired livestock Primary male respondent Have you or anyone in your household purchased or acquired any livestock since January 2000? IF answer is 2 > Go to section III (lequip - variable name in dataset). 811 0 1 Yes 213 2 No 597 8 1 Have sold or given as a gift farm equipments Primary male respondent Have you or members of your household sold or given as a gift a tractor, trailer, plough, or other such large farm equipment since January 2000? If answer is 2 > Go to section III-b (Acquisitions)(asse12 - variable name in dataset). 811 0 1 Yes 3 2 No 807 8 1 Have purchased tractor, trailer... since Jan 2000 Primary male respondent Have you or members of your household purchased or acquired a tractor, trailer, plough, or other such large farm equipment since January 2000? If answer is 2 > Go to section IV (sequip - variable name in dataset). 811 0 1 Yes 24 2 No 787 Sold or given as agift a vehicle Primary male respondent Have you or members of your household sold or given as a gift a vehicle (such as a car, bicycle, etc) since January 2000? If answer is 2 > Go to section V-b (Acquisition) (assv11 - variable name in dataset). 811 0 1 2 1.916 0.277 1 Yes 68 2 No 743 Have purchased a vehicle since Jan 2000 Primary male respondent Have you or members of your household purchased or acquired a vehicle (such as a car, bicycle, etc) since January 2000? If answer is 2 > Go to section VI (durable - variable name in dataset). 811 0 1 Yes 118 2 No 693 Assets module 66 0 1 Yes 66 2 No 0 Household ID Household ID 66 0 7 9653 853.424 1555.601 7 2 24 1 80 3 109 2 170 1 171 2 204 1 205 1 208 1 209 1 210 1 252 1 253 1 277 1 281 1 309 1 361 1 365 1 372 1 421 1 422 1 464 1 484 1 523 1 532 2 597 1 598 1 609 1 620 1 626 1 637 1 693 1 766 1 804 1 810 1 819 1 820 1 821 1 822 1 829 1 835 1 906 1 931 1 932 1 933 1 954 1 977 1 990 1 993 1 995 1 1015 1 1108 1 1111 1 1167 1 1223 1 1269 1 1274 1 1285 1 9012 1 9653 1 Respondent ID Respondent ID 66 0 1 54 2 10 3 1 6 1 Day of interview Date of Interview. Day. 66 0 2 31 17.712 8.873 2 2 4 4 5 3 7 3 8 4 9 1 10 1 13 5 14 1 15 1 16 7 17 1 19 4 21 2 22 2 23 1 24 3 25 2 26 5 27 3 28 3 29 4 30 3 31 1 Month of interview Date of Interview. Month. 66 0 3 12 4 14 5 16 6 9 7 13 8 2 Year of interview Date of Interview. Year. 66 0 2004 66 List number 66 0 1 60 2 5 3 1 Unit 66 0 1 60 2 5 3 1 Month of the sale Primary male respondent Please describe all the land sales by you or someone in your household since January 2000. When was this sale made? Month. Ask for exact month. 66 0 1 99 7.939 16.534 1 10 2 7 3 8 4 9 5 2 6 6 7 5 8 7 9 2 10 4 11 1 12 3 99 2 Year of the sale Primary male respondent When was this sale made? Year. 66 0 2000 11 2001 7 2002 14 2003 24 2004 10 How much land sold - Quantity Primary male respondent How much land did you sell how much money was it sold for? Land Quantity. Make sure to record both the amount of land sold (write the quantity in column 9a, the unit code in column 9b) and the total sale price (column 9c). 66 0 10 600 127.576 147.917 How much land sold - Unit Primary male respondent How much land did you sell how much money was it sold for? Unit code. Make sure to record both the amount of land sold (write the quantity in column 9a, the unit code in column 9b) and the total sale price (column 9c). 66 0 1 Acres 66 2 Hectares 0 3 Sq. meters 0 4 Sq. feet 0 How much land sold - Total sale price Primary male respondent How much land did you sell how much money was it sold for? Total sale price. Make sure to record both the amount of land sold (write the quantity in column 9a, the unit code in column 9b) and the total sale price (column 9c). 66 0 2000 1500000 137530.303 209840.762 Money share with persons - Amount Primary male respondent How much of this money did you share with persons outside of the household? Amount. If none of the money was shared, write "0" in column a and leave column b blank. 66 0 0 98 4.455 20.57 Money share with persons - IRID Primary male respondent How much of this money did you share with persons outside of the household? IRID code. 0 0 Why sold the land Primary male respondent Why did you sell this land? 66 0 1 Health expenses 14 2 School fees 17 3 Buy/invest in a business 26 4 Raise money for planting season 0 5 Wedding or other ceremony 0 6 Other (specify) 9 Assets module 10 0 1 Yes 10 2 No 0 Household ID Household ID 10 0 3 1111 188.1 332.294 3 1 13 1 26 1 93 5 263 1 1111 1 Respondent ID Respondent ID 10 0 1 10 Day of interview Date of Interview. Day. 10 0 2 19 13.3 6.147 2 1 3 1 11 1 13 1 17 5 19 1 Month of interview Date of Interview. Month. 10 0 3 2 4 2 5 5 7 1 Year of interview Date of Interview. Year. 10 0 2004 10 List number If there were no gifts, then go to Section I-c (ass16 - variable name in dataset). 10 0 1 6 2 1 3 1 4 1 5 1 Unit 10 0 1 6 2 1 3 1 4 1 5 1 Month when gift was given Primary male respondent Please describe all the land gifts by you or someone in your household since January 2000. When was this gift given? Month. Ask for exact month. 10 0 1 4 6 1 8 5 Year when gift was given Primary male respondent When was this gift given? Year. 10 0 2000 1 2001 1 2002 7 2003 1 How much land gave - Quantity Primary male respondent How much land did you give and how much money was it worth? Land Quantity. 10 0 100 200 160 51.64 How much land gave - Unit Primary male respondent How much land did you give and how much money was it worth? Unit code. 10 0 1 Acres 10 2 Hectares 0 3 Sq. meters 0 4 Sq. feet 0 How much land gave - Total value Primary male respondent How much land did you give and how much money was it worth? Total value. 10 0 50000 200000 146000 65183.502 Whom gave gift Primary male respondent To whom did you give this gift? Use IRID Code. 10 0 03 1 04 1 06 1 07 1 08 1 09 1 10 1 R01 2 R02 1 Why gave land as a gift Primary male respondent Why did you give this land as a gift? 10 0 1 Help IRID pay for health expenses 0 2 Help IRID buy a business 0 3 Gift for wedding/ceremony 0 4 Help IRID buy/invest in a business 1 5 Help IRID raise money for planting season 1 6 Other (specify) 8 Assets module 114 0 1 Yes 114 2 No 0 Household ID Household ID 114 0 1 1279 628.518 405.308 1 1 3 2 5 1 9 1 27 1 29 1 35 1 38 1 49 1 58 1 64 2 67 1 73 1 80 1 82 1 99 1 103 1 109 1 110 1 121 1 163 1 171 1 205 1 209 1 253 1 254 1 261 1 281 1 302 1 310 1 353 1 356 1 358 1 403 1 404 2 417 1 425 1 428 1 436 1 456 1 475 1 482 1 484 1 505 1 524 1 527 1 529 1 557 1 590 1 593 1 594 1 610 1 618 2 625 1 626 1 675 1 700 1 715 2 716 2 752 1 755 1 786 1 787 1 807 1 819 1 821 1 837 1 902 1 906 1 920 3 929 1 934 1 939 1 944 1 945 2 951 1 955 1 960 1 962 1 977 1 983 1 990 1 993 1 999 1 1016 1 1109 1 1111 1 1130 1 1146 1 1153 1 1161 1 1167 1 1171 1 1201 1 1208 1 1219 1 1223 1 1228 1 1229 1 1239 1 1248 1 1264 1 1265 1 1274 1 1279 1 Respondent ID Respondent ID 114 0 1 90 2 21 5 2 7 1 Day of interview Date of Interview. Day. 114 0 1 30 15.728 8.294 1 1 2 3 3 4 4 4 5 5 6 3 7 2 8 2 9 6 10 6 11 2 12 4 13 6 14 9 15 2 16 3 17 4 18 5 19 4 20 3 21 2 22 6 23 4 24 1 25 4 26 3 27 4 28 4 29 3 30 5 Month of interview Date of Interview. Month. 114 0 3 16 4 31 5 21 6 21 7 18 8 7 Year of interview Date of Interview. Year. 114 0 2004 114 List number 114 0 1 105 2 8 3 1 Unit 0 114 Sysmiss 114 Month when got the plot Primary male respondent Please describe all the land purchases or acquisitions (including gifts and inheritances) by you or someone in your household since January 2000. When did you get this plot or piece of land? Month. * Probe for exact month 114 0 1 99 8.5 17.597 1 23 2 10 3 14 4 11 5 3 6 6 7 9 8 11 9 4 10 8 11 4 12 7 98 2 99 2 Year when got the plot Primary male respondent When did you get this plot or piece of land? Year. 114 0 200 2004 1986.053 168.765 200 1 2000 27 2001 16 2002 24 2003 38 2004 8 How aquired the land Primary male respondent How did you acquire this land? If answer is 3, 4 or 5 > Go to next purchase. Record how the land was acquired - was it bought with cash, bought on credit (by borrowing money), given to the household as a gift, inherited, or some other way (write this in the box). 114 0 1 Bought with cash 94 2 Bought on credit 12 3 Gift 3 4 Inherited 5 5 Other (specify) 0 How much land got - Quantity Primary male respondent How much land did you get and how much did you pay for this land? Land Qty. 114 0 0 9800 424.474 1571.247 How much land got - Unit Primary male respondent How much land did you get and how much did you pay for this land? Land Unit code. 113 1 1 Acres 109 2 Hectares 1 3 Sq. meters 0 4 Sq. feet 0 8 3 Sysmiss 1 How much land got - Total purchase Primary male respondent How much land did you get and how much did you pay for this land? Total purchase price. 113 1 0 1500000 130299.062 217375.883 Amount that remains to be paid Primary male respondent How much of this amount remains to be paid? Amount in KSh. Ask how much of the total purchase price remains to be paid. 114 0 0 700000 10021.842 66366.387 Anyone outside HH helped in paying Primary male respondent Did anyone outside of your household help you pay for this land? If answer is 2 > Go to next purchase/acquisition. Ask if the respondent if other people helped to pay for the land, and write the IRID and the amounts given by these other people (as usual, you must also fill out the Individual Roster for these people). 114 0 1 Yes 4 2 No 106 8 4 Who helped to pay - Amount Primary male respondent Who helped you pay for this land, and how much money did they give? Amt 1. Ask if the respondent if other people helped to pay for the land, and write the IRID and the amounts given by these other people (as usual, you must also fill out the Individual Roster for these people). 4 110 11000 195000 64000 87677.439 Who helped to pay - IRID Primary male respondent Who helped you pay for this land, and how much money did they give? IRID 1. Ask if the respondent if other people helped to pay for the land, and write the IRID and the amounts given by these other people (as usual, you must also fill out the Individual Roster for these people). 3 0 R01 2 R02 1 Who helped to pay - Amount Primary male respondent Who helped you pay for this land, and how much money did they give? Amt 2. Ask if the respondent if other people helped to pay for the land, and write the IRID and the amounts given by these other people (as usual, you must also fill out the Individual Roster for these people). 0 114 Who helped to pay - IRID Primary male respondent Who helped you pay for this land, and how much money did they give? IRID 2. Ask if the respondent if other people helped to pay for the land, and write the IRID and the amounts given by these other people (as usual, you must also fill out the Individual Roster for these people). 1 0 R03 1 Have to pay them anything Primary male respondent Do you have to pay them anything on account of this assistance? If answer is 2 > Go to next purchase/acquisition. 4 110 1 Yes 0 2 No 4 Sysmiss 110 Value of the money that have to pay Primary male respondent What is the value of the money and harvests that you have to pay them? Amount in KSh. 0 114 Assets module 6488 0 1 Yes 6488 2 No 0 Household ID Household ID 6488 0 1 9694 798.933 1144.952 1 8 3 8 4 8 5 8 6 8 7 8 8 8 9 8 10 8 11 8 12 8 13 8 14 8 15 8 16 8 17 8 18 8 19 8 20 8 21 8 22 8 23 8 24 8 25 8 26 8 27 8 28 8 29 8 30 8 31 8 32 8 33 8 34 8 35 8 38 8 39 8 41 8 43 8 44 8 46 8 47 8 48 8 49 8 50 8 53 8 55 8 56 8 58 8 60 8 61 8 62 8 64 8 65 8 66 8 67 8 68 8 69 8 70 8 73 8 74 8 75 8 76 8 77 8 78 8 79 8 80 8 82 8 84 8 89 8 93 8 94 8 95 8 97 8 98 8 99 8 102 8 103 8 104 8 106 8 108 8 109 8 110 8 111 8 112 8 113 8 114 8 115 8 117 8 120 8 121 8 123 8 124 8 125 8 128 8 150 8 151 8 152 8 154 8 155 8 156 8 158 8 161 8 162 8 163 8 164 8 165 8 166 8 167 8 168 8 169 8 170 8 171 8 172 8 173 8 174 8 200 8 201 8 202 8 203 8 204 8 205 8 206 8 207 8 208 8 209 8 210 8 211 8 212 8 213 8 216 8 217 8 218 8 219 8 221 8 222 8 223 8 250 8 251 8 252 8 253 8 254 8 255 8 256 8 257 8 258 8 259 8 260 8 261 8 262 8 263 8 264 8 265 8 266 8 267 8 268 8 269 8 273 8 274 8 275 8 276 8 277 8 278 8 279 8 280 8 281 8 282 8 300 8 301 8 302 8 303 8 304 8 305 8 306 8 307 8 309 8 310 8 311 8 312 8 313 8 314 8 315 8 316 8 317 8 318 8 350 8 351 8 352 8 353 8 354 8 355 8 356 8 357 8 358 8 359 8 360 8 361 8 362 8 363 8 364 8 365 8 366 8 368 8 369 8 372 8 400 8 401 8 402 8 403 8 404 8 405 8 406 8 407 8 409 8 410 8 411 8 412 8 415 8 417 8 418 8 419 8 420 8 421 8 422 8 423 8 424 8 425 8 426 8 427 8 428 8 429 8 430 8 431 8 434 8 436 8 438 8 450 8 451 8 452 8 453 8 454 8 455 8 456 8 457 8 458 8 459 8 460 8 461 8 462 8 463 8 464 8 465 8 466 8 467 8 468 8 469 8 470 8 473 8 475 8 476 8 478 8 479 8 480 8 481 8 482 8 483 8 484 8 485 8 486 8 487 8 488 8 489 8 490 8 500 8 501 8 502 8 504 8 505 8 506 8 507 8 508 8 509 8 510 8 511 8 512 8 513 8 514 8 515 8 516 8 518 8 519 8 520 8 521 8 522 8 523 8 524 8 525 8 526 8 527 8 528 8 529 8 530 8 531 8 532 8 533 8 534 8 535 8 537 8 538 8 539 8 540 8 541 8 542 8 543 8 544 8 545 8 546 8 547 8 548 8 549 8 550 8 551 8 552 8 554 8 556 8 557 8 559 8 560 8 562 8 563 8 564 8 565 8 566 8 568 8 580 8 581 8 582 8 585 8 587 8 588 8 589 8 590 8 591 8 593 8 594 8 595 8 597 8 598 8 599 8 600 8 601 8 602 8 603 8 604 8 605 8 606 8 607 8 608 8 609 8 610 8 611 8 612 8 615 8 616 8 617 8 618 8 619 8 620 8 621 8 622 8 623 8 624 8 625 8 626 8 627 8 628 8 630 8 631 8 632 8 633 8 634 8 635 8 637 8 639 8 640 8 652 8 653 8 656 8 658 8 660 8 663 8 665 8 666 8 667 8 670 8 671 8 673 8 674 8 675 8 676 8 677 8 678 8 679 8 680 8 681 8 682 8 683 8 686 8 687 8 688 8 689 8 690 8 691 8 692 8 693 8 694 8 696 8 697 8 698 8 699 8 700 8 701 8 702 8 703 8 706 8 707 8 708 8 709 8 710 8 711 8 712 8 715 8 716 8 717 8 720 8 721 8 722 8 723 8 724 8 725 8 726 8 727 8 728 8 730 8 731 8 732 8 733 8 735 8 736 8 737 8 738 8 739 8 740 8 741 8 742 8 746 8 747 8 748 8 751 8 752 8 755 8 757 8 758 8 764 8 766 8 775 8 776 8 779 8 780 8 781 8 783 8 784 8 786 8 787 8 790 8 791 8 792 8 793 8 794 8 800 8 801 8 802 8 803 8 804 8 805 8 806 8 807 8 808 8 809 8 810 8 811 8 812 8 813 8 814 8 815 8 816 8 817 8 818 8 819 8 820 8 821 8 822 8 823 8 824 8 825 8 826 8 827 8 828 8 829 8 830 8 831 8 832 8 833 8 834 8 835 8 836 8 837 8 838 8 839 8 840 8 841 8 842 8 843 8 844 8 845 8 846 8 847 8 848 8 849 8 850 8 851 8 852 8 853 8 854 8 855 8 856 8 900 8 901 8 902 8 903 8 904 8 905 8 906 8 907 8 908 8 909 8 911 8 912 8 913 8 914 8 915 8 916 8 917 8 918 8 919 8 920 8 921 8 922 8 923 8 924 8 925 8 926 8 927 8 928 8 929 8 930 8 931 8 932 8 933 8 934 8 935 8 936 8 937 8 938 8 939 8 940 8 941 8 942 8 943 8 944 8 945 8 946 8 947 8 948 8 949 8 950 8 951 8 952 8 953 8 954 8 955 8 956 8 957 8 958 8 959 8 960 8 961 8 962 8 963 8 964 8 965 8 966 8 967 8 968 8 969 8 970 8 971 8 972 8 973 8 974 8 975 8 976 8 977 8 978 8 979 8 980 8 982 8 983 8 984 8 985 8 986 8 987 8 988 8 989 8 990 8 991 8 992 8 993 8 994 8 995 8 996 8 997 8 998 8 999 8 1000 8 1001 8 1002 8 1003 8 1004 8 1005 8 1006 8 1007 8 1008 8 1009 8 1010 8 1011 8 1012 8 1013 8 1014 8 1015 8 1016 8 1017 8 1018 8 1019 8 1020 8 1021 8 1022 8 1023 8 1024 8 1025 8 1026 8 1027 8 1028 8 1029 8 1030 8 1031 8 1100 8 1101 8 1102 8 1104 8 1105 8 1106 8 1107 8 1108 8 1109 8 1110 8 1111 8 1113 8 1114 8 1115 8 1116 8 1117 8 1118 8 1119 8 1120 8 1121 8 1122 8 1123 8 1124 8 1125 8 1126 8 1127 8 1129 8 1130 8 1131 8 1132 8 1133 8 1134 8 1136 8 1137 8 1138 8 1139 8 1141 8 1142 8 1143 8 1144 8 1145 8 1146 8 1150 8 1151 8 1152 8 1153 8 1154 8 1155 8 1156 8 1157 8 1158 8 1159 8 1160 8 1161 8 1167 8 1168 8 1169 8 1170 8 1171 8 1173 8 1200 8 1201 8 1202 8 1203 8 1204 8 1205 8 1206 8 1207 8 1208 8 1209 8 1210 8 1211 8 1212 8 1214 8 1215 8 1216 8 1218 8 1219 8 1220 8 1221 8 1223 8 1225 8 1227 8 1228 8 1229 8 1230 8 1231 8 1232 8 1234 8 1235 8 1236 8 1237 8 1239 8 1240 8 1241 8 1242 8 1243 8 1244 8 1245 8 1246 8 1247 8 1248 8 1249 8 1250 8 1251 8 1252 8 1253 8 1254 8 1255 8 1257 8 1259 8 1261 8 1263 8 1264 8 1265 8 1266 8 1269 8 1270 8 1271 8 1272 8 1273 8 1274 8 1275 8 1276 8 1277 8 1278 8 1279 8 1280 8 1281 8 1282 8 1283 8 1284 8 1285 8 9012 8 9019 8 9043 8 9134 8 9166 8 9210 8 9225 8 9240 8 9265 8 9518 8 9616 8 9653 8 9694 8 Respondent ID Respondent ID 6488 0 1 5472 2 832 3 128 4 24 5 16 6 8 7 8 Day of interview Date of Interview. Day. 6488 0 1 31 15.932 8.717 1 112 2 232 3 184 4 240 5 200 6 264 7 248 8 128 9 280 10 216 11 168 12 216 13 232 14 264 15 192 16 248 17 176 18 176 19 240 20 224 21 232 22 296 23 136 24 136 25 176 26 240 27 200 28 288 29 224 30 240 31 80 Month of interview Date of Interview. Month. 6488 0 3 832 4 1568 5 1312 6 1152 7 1160 8 464 Year of interview Date of Interview. Year. 6488 0 2004 6488 Livestock ID LIVESTOCK ID 6488 0 1 Cattle, including cows 811 2 Calves 811 3 Goats 811 4 Sheep 811 5 Pigs 811 6 Chickens 811 7 Other animals (specify) 1622 How many own Primary male respondent How many … do members of your household currently own? 6488 0 0 110 1.758 5.14 Total value owned Primary male respondent What is the total value of all the … currently owned? 2146 4342 0 900000 20312.349 50347.961 Assets module 464 0 1 Yes 464 2 No 0 Household ID Household ID 464 0 1 9653 752.875 1078.56 1 2 3 1 9 1 12 1 13 1 18 1 21 1 26 2 28 2 30 1 31 3 32 5 33 2 38 1 39 1 41 2 43 1 44 1 55 2 64 2 65 2 67 1 69 1 70 1 73 1 74 2 76 1 80 1 94 1 106 1 109 5 111 2 112 3 114 2 115 2 151 1 152 4 154 1 155 1 156 1 158 5 161 4 165 1 166 1 168 1 172 1 201 2 202 1 203 1 208 1 209 2 210 1 213 1 221 1 223 1 251 1 253 1 254 2 255 1 256 1 257 1 259 1 260 1 263 2 266 2 275 1 276 1 279 1 281 1 282 1 300 2 303 1 304 1 306 1 309 1 310 2 311 1 313 1 315 1 316 1 351 1 353 2 354 1 359 1 361 1 362 1 363 1 364 1 372 1 400 2 402 2 403 1 404 5 405 1 406 1 407 1 410 1 412 4 417 1 418 1 420 2 421 1 424 1 426 1 427 1 429 1 430 1 451 2 453 1 454 1 459 2 465 1 467 1 469 1 475 1 476 1 480 1 482 1 483 1 484 1 485 1 486 1 490 1 500 3 504 1 505 1 511 1 512 2 516 1 523 1 524 1 525 1 530 4 532 1 533 1 534 2 538 1 539 3 541 1 544 1 546 1 550 1 551 1 556 3 557 1 564 1 580 1 588 1 590 1 593 2 595 1 601 1 602 1 605 3 608 1 609 1 611 2 612 4 618 1 620 1 627 1 631 2 634 1 637 1 652 3 653 1 663 1 670 2 673 1 674 1 675 1 681 1 682 1 683 1 689 1 690 1 696 1 698 2 699 3 700 1 701 1 702 1 703 1 709 1 711 2 712 2 715 3 716 3 717 1 730 3 731 1 736 2 741 1 742 1 751 1 758 2 766 1 776 3 790 2 791 2 792 1 806 1 811 1 813 1 814 1 819 1 822 2 829 1 831 1 840 5 841 1 843 1 847 1 849 1 854 1 855 1 902 1 903 1 904 2 906 2 909 1 911 1 913 1 920 1 924 1 925 1 928 1 929 1 934 1 937 2 945 1 953 1 954 1 955 1 958 1 960 1 962 1 964 2 970 1 974 1 975 2 982 1 985 1 990 1 991 1 992 1 993 1 995 1 1000 1 1004 1 1009 2 1011 1 1015 1 1016 1 1017 1 1018 1 1021 1 1025 2 1027 1 1100 1 1101 1 1105 5 1107 1 1110 1 1113 2 1115 1 1116 1 1118 2 1119 1 1120 1 1122 1 1124 2 1129 1 1132 2 1133 1 1137 1 1139 1 1141 4 1142 2 1145 1 1146 1 1150 1 1153 1 1154 1 1155 2 1158 2 1160 2 1170 2 1171 1 1173 1 1200 1 1204 4 1205 1 1206 2 1208 1 1210 3 1211 3 1214 1 1215 1 1216 1 1218 1 1219 1 1223 1 1225 1 1227 1 1228 1 1231 2 1235 1 1236 1 1240 1 1241 1 1245 2 1248 1 1250 2 1265 1 1269 3 1270 1 1273 1 1275 1 1278 1 1279 1 1280 1 1284 1 1285 1 9134 1 9518 1 9653 4 Respondent ID Respondent ID 464 0 1 415 2 44 3 2 4 2 7 1 Day of interview Date of Interview. Day. 464 0 1 31 16.198 8.782 1 6 2 19 3 16 4 15 5 10 6 18 7 15 8 6 9 23 10 17 11 10 12 9 13 28 14 22 15 12 16 17 17 17 18 9 19 18 20 11 21 13 22 23 23 10 24 11 25 11 26 19 27 14 28 20 29 16 30 22 31 7 Month of interview Date of Interview. Month. 464 0 3 80 4 130 5 72 6 65 7 84 8 33 Year of interview Date of Interview. Year. 464 0 2004 464 Count of livestock sales 464 0 Livestock code Livestock Code 464 0 1 Cattle, including cows 327 2 Calves 88 3 Goats 29 4 Sheep 14 5 Pigs 6 6 Chickens 0 7 Other animals (specify) 0 Livestock code Please describe each livestock sale and gift by you or someone in your household since January 2000. Livestock Code The first column of the table should contain the code for the livestock that was sold. So if the household sold a cow in June 2002, you should write "1" (the code for cows) in column 1. 464 0 1 Cattle, including cows 313 2 Calves 37 3 Goats 18 4 Sheep 62 5 Pigs 0 6 Chickens 34 7 Other animals (specify) 0 When was the sale - Month Primary male respondent When was this sale or gift? Month. Ask for exact month. 464 0 1 99 8.474 18.461 1 80 2 59 3 52 4 61 5 42 6 32 7 19 8 28 9 16 10 7 11 17 12 33 98 4 99 14 When was the sale - Year Primary male respondent When was this sale or gift? Year. 464 0 2000 36 2001 28 2002 68 2003 170 2004 162 Quantity of livestock sold - Quantity Primary male respondent What was the quantity of [LIVESTOCK] sold and how much did you get in total? Quantity sold/gifted. 464 0 1 50 2.093 3.38 Quantity of livestock sold - Amount Primary male respondent What was the quantity of [LIVESTOCK] sold and how much did you get in total? Total sale amount. Enter zero for price if this was a gift. If the land was given away as a gift, write 0 for the sale price. 464 0 0 150000 12809.412 14324.576 Share money with anyone outside HH Primary male respondent Did you share this money with anyone outside of the household? If answer is 2 > Go to 9. Questions 7 and 8 ask if the money from the livestock sales was shared with anyone, and then the IRIDs and amount shared. 464 0 1 Yes 18 2 No 443 8 3 Amount that went to someone - Amount Primary male respondent How much of this amount went to someone else outside of your household? Amt. Ask for amount and IRID of each recipient. 18 446 98 35000 11038.778 10865.722 Amount that went to someone - IRID Primary male respondent How much of this amount went to someone else outside of your household? IRID. 17 0 03 1 06 1 08 1 4 1 R01 9 R02 3 R03 1 Amount that went to someone - Amount Primary male respondent How much of this amount went to someone else outside of your household? Amt. Ask for amount and IRID of each recipient. 9 455 0 5000 666.667 1658.312 Amount that went to someone - IRID Primary male respondent How much of this amount went to someone else outside of your household? IRID. 2 0 5 1 R02 1 Amount that went to someone - Amount Primary male respondent How much of this amount went to someone else outside of your household? Amt. Ask for amount and IRID of each recipient. 7 457 Amount that went to someone - IRID Primary male respondent How much of this amount went to someone else outside of your household? IRID. 0 0 Why sold the livestock Primary male respondent Why did you sell this [LIVESTOCK]? In Question 9, use the "why did you sell" codes in summarizing the respondent's answer. 464 0 1 Health expenses 61 2 School fees 143 3 Buy/invest in a business 92 4 Raise money for planting season 85 5 Wedding or other ceremony 13 6 Other (specify) 66 8 3 9 1 Assets module 256 0 1 Yes 256 2 No 0 Household ID Household ID 256 0 1 9694 797.168 1021.251 1 1 5 2 9 1 15 1 21 1 26 1 27 1 29 2 31 1 32 3 38 1 64 1 69 1 77 1 80 1 84 1 89 1 94 1 97 1 103 1 106 1 110 1 112 1 117 1 151 1 155 1 158 1 201 1 206 1 211 1 213 1 218 2 222 2 254 1 256 1 265 2 275 1 277 1 279 1 300 1 301 1 306 1 313 1 314 1 355 1 357 1 362 1 363 1 364 1 365 1 404 5 405 1 406 1 407 2 412 2 418 1 419 1 423 1 424 1 427 1 428 1 431 1 452 1 459 1 460 1 469 1 473 1 476 1 481 3 482 1 486 1 505 1 507 1 516 1 522 1 524 1 535 1 546 1 548 1 550 1 552 1 582 1 585 1 587 1 590 1 591 1 593 1 597 1 598 1 603 1 605 2 608 1 610 1 611 1 616 2 617 1 627 1 630 1 634 1 640 1 652 1 656 1 658 1 670 1 671 1 673 1 675 1 677 1 678 1 679 2 689 1 698 1 700 2 701 2 703 1 712 1 715 3 716 2 720 1 724 1 732 1 738 1 740 1 752 1 758 1 780 1 786 1 802 1 804 1 807 1 827 1 845 1 846 1 850 1 853 1 906 1 915 1 920 1 936 1 937 2 942 1 947 1 951 1 959 1 964 1 967 1 969 1 971 2 972 2 975 1 979 2 982 3 986 1 990 1 992 1 993 1 996 1 1013 1 1015 1 1017 1 1026 2 1028 1 1029 1 1107 1 1108 2 1109 1 1115 1 1118 1 1119 1 1123 1 1124 1 1126 2 1130 1 1131 1 1138 1 1139 2 1141 1 1153 1 1154 1 1156 1 1158 1 1161 3 1167 1 1171 2 1209 1 1211 1 1212 1 1214 1 1218 1 1219 1 1220 1 1221 1 1223 2 1225 1 1227 2 1230 1 1231 1 1232 1 1236 3 1241 2 1250 1 1253 1 1255 1 1257 1 1269 1 1270 1 1273 2 1276 1 1279 1 1281 1 1285 1 9012 1 9694 2 Respondent ID Respondent ID 256 0 1 206 2 43 3 5 5 1 7 1 Day of interview Date of Interview. Day. 256 0 1 31 15.344 8.84 1 7 2 10 3 11 4 4 5 6 6 17 7 11 8 5 9 11 10 7 11 5 12 8 13 12 14 12 15 6 16 12 17 4 18 10 19 15 20 7 21 9 22 5 23 5 24 3 25 4 26 11 27 5 28 8 29 9 30 15 31 2 Month of interview Date of Interview. Month. 256 0 3 32 4 64 5 47 6 31 7 58 8 24 Year of interview Date of Interview. Year. 256 0 2004 256 Count of livestock purchased Primary male respondent 256 0 Livestock code Please describe each livestock purchases or acquisition by you or someone in your household since January 2000. Livestock Code 256 0 1 Cattle, including cows 213 2 Calves 34 3 Goats 7 4 Sheep 1 5 Pigs 1 6 Chickens 0 7 Other animals (specify) 0 Livestock code Please describe each livestock purchases or acquisition by you or someone in your household since January 2000. Livestock Code 256 0 1 Cattle, including cows 165 2 Calves 23 3 Goats 15 4 Sheep 37 5 Pigs 0 6 Chickens 16 7 Other animals (specify) 0 When was the purchase - Month Primary male respondent When was this acquisition? Month. Ask for exact month. 256 0 1 99 8.676 16.625 1 41 2 25 3 20 4 24 5 19 6 23 7 12 8 15 9 12 10 16 11 13 12 28 98 2 99 6 When was the purchase - Year Primary male respondent When was this acquisition? Year. 256 0 2000 32 2001 16 2002 23 2003 110 2004 75 How aquired the livestock Primary male respondent How did you acquire this [LIVESTOCK]? If answer is 2 or 3 > Go to next purchase. 256 0 1 Bought or borrowed 253 2 Gift 2 3 Inherited 1 4 Other (specify) 0 Quantity of livestock purchased - Quantity Primary male respondent What was the quantity of [LIVESTOCK] purchased/gifted and how much did you pay in total? Quantity purchased/gifted. 253 3 Quantity of livestock purchased - Amount Primary male respondent What was the quantity of [LIVESTOCK] purchased/gifted and how much did you pay in total? Total amount paid. 253 3 0 59000 9129.684 8121.435 Anyone outside HH help to pay - Amount Primary male respondent Did anyone outside of your household help you pay? Amt. If the land was given to the household as a gift, write 0 for the total amount paid. 253 3 0 12000 107.862 881.027 Anyone outside HH help to pay - IRID Primary male respondent Did anyone outside of your household help you pay? IRID. 12 0 0 3 00 1 07 1 98 2 R01 3 R03 1 R04 1 Anyone outside HH help to pay - Amount Primary male respondent Did anyone outside of your household help you pay? Amt. If the land was given to the household as a gift, write 0 for the total amount paid. 244 12 0 4000 24.996 285.863 Anyone outside HH help to pay - IRID Primary male respondent Did anyone outside of your household help you pay? IRID. 8 0 0 3 00 1 07 1 98 2 R02 1 Anyone outside HH help to pay - Amount Primary male respondent Did anyone outside of your household help you pay? Amt. If the land was given to the household as a gift, write 0 for the total amount paid. 244 12 0 99 0.406 6.338 Anyone outside HH help to pay - IRID Primary male respondent Did anyone outside of your household help you pay? IRID. 5 0 0 3 98 2 Assets module 8110 0 1 Yes 8110 2 No 0 Household ID Household ID 8110 0 1 9694 798.933 1144.934 1 10 3 10 4 10 5 10 6 10 7 10 8 10 9 10 10 10 11 10 12 10 13 10 14 10 15 10 16 10 17 10 18 10 19 10 20 10 21 10 22 10 23 10 24 10 25 10 26 10 27 10 28 10 29 10 30 10 31 10 32 10 33 10 34 10 35 10 38 10 39 10 41 10 43 10 44 10 46 10 47 10 48 10 49 10 50 10 53 10 55 10 56 10 58 10 60 10 61 10 62 10 64 10 65 10 66 10 67 10 68 10 69 10 70 10 73 10 74 10 75 10 76 10 77 10 78 10 79 10 80 10 82 10 84 10 89 10 93 10 94 10 95 10 97 10 98 10 99 10 102 10 103 10 104 10 106 10 108 10 109 10 110 10 111 10 112 10 113 10 114 10 115 10 117 10 120 10 121 10 123 10 124 10 125 10 128 10 150 10 151 10 152 10 154 10 155 10 156 10 158 10 161 10 162 10 163 10 164 10 165 10 166 10 167 10 168 10 169 10 170 10 171 10 172 10 173 10 174 10 200 10 201 10 202 10 203 10 204 10 205 10 206 10 207 10 208 10 209 10 210 10 211 10 212 10 213 10 216 10 217 10 218 10 219 10 221 10 222 10 223 10 250 10 251 10 252 10 253 10 254 10 255 10 256 10 257 10 258 10 259 10 260 10 261 10 262 10 263 10 264 10 265 10 266 10 267 10 268 10 269 10 273 10 274 10 275 10 276 10 277 10 278 10 279 10 280 10 281 10 282 10 300 10 301 10 302 10 303 10 304 10 305 10 306 10 307 10 309 10 310 10 311 10 312 10 313 10 314 10 315 10 316 10 317 10 318 10 350 10 351 10 352 10 353 10 354 10 355 10 356 10 357 10 358 10 359 10 360 10 361 10 362 10 363 10 364 10 365 10 366 10 368 10 369 10 372 10 400 10 401 10 402 10 403 10 404 10 405 10 406 10 407 10 409 10 410 10 411 10 412 10 415 10 417 10 418 10 419 10 420 10 421 10 422 10 423 10 424 10 425 10 426 10 427 10 428 10 429 10 430 10 431 10 434 10 436 10 438 10 450 10 451 10 452 10 453 10 454 10 455 10 456 10 457 10 458 10 459 10 460 10 461 10 462 10 463 10 464 10 465 10 466 10 467 10 468 10 469 10 470 10 473 10 475 10 476 10 478 10 479 10 480 10 481 10 482 10 483 10 484 10 485 10 486 10 487 10 488 10 489 10 490 10 500 10 501 10 502 10 504 10 505 10 506 10 507 10 508 10 509 10 510 10 511 10 512 10 513 10 514 10 515 10 516 10 518 10 519 10 520 10 521 10 522 10 523 10 524 10 525 10 526 10 527 10 528 10 529 10 530 10 531 10 532 10 533 10 534 10 535 10 537 10 538 10 539 10 540 10 541 10 542 10 543 10 544 10 545 10 546 10 547 10 548 10 549 10 550 10 551 10 552 10 554 10 556 10 557 10 559 10 560 10 562 10 563 10 564 10 565 10 566 10 568 10 580 10 581 10 582 10 585 10 587 10 588 10 589 10 590 10 591 10 593 10 594 10 595 10 597 10 598 10 599 10 600 10 601 10 602 10 603 10 604 10 605 10 606 10 607 10 608 10 609 10 610 10 611 10 612 10 615 10 616 10 617 10 618 10 619 10 620 10 621 10 622 10 623 10 624 10 625 10 626 10 627 10 628 10 630 10 631 10 632 10 633 10 634 10 635 10 637 10 639 10 640 10 652 10 653 10 656 10 658 10 660 10 663 10 665 10 666 10 667 10 670 10 671 10 673 10 674 10 675 10 676 10 677 10 678 10 679 10 680 10 681 10 682 10 683 10 686 10 687 10 688 10 689 10 690 10 691 10 692 10 693 10 694 10 696 10 697 10 698 10 699 10 700 10 701 10 702 10 703 10 706 10 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933 10 934 10 935 10 936 10 937 10 938 10 939 10 940 10 941 10 942 10 943 10 944 10 945 10 946 10 947 10 948 10 949 10 950 10 951 10 952 10 953 10 954 10 955 10 956 10 957 10 958 10 959 10 960 10 961 10 962 10 963 10 964 10 965 10 966 10 967 10 968 10 969 10 970 10 971 10 972 10 973 10 974 10 975 10 976 10 977 10 978 10 979 10 980 10 982 10 983 10 984 10 985 10 986 10 987 10 988 10 989 10 990 10 991 10 992 10 993 10 994 10 995 10 996 10 997 10 998 10 999 10 1000 10 1001 10 1002 10 1003 10 1004 10 1005 10 1006 10 1007 10 1008 10 1009 10 1010 10 1011 10 1012 10 1013 10 1014 10 1015 10 1016 10 1017 10 1018 10 1019 10 1020 10 1021 10 1022 10 1023 10 1024 10 1025 10 1026 10 1027 10 1028 10 1029 10 1030 10 1031 10 1100 10 1101 10 1102 10 1104 10 1105 10 1106 10 1107 10 1108 10 1109 10 1110 10 1111 10 1113 10 1114 10 1115 10 1116 10 1117 10 1118 10 1119 10 1120 10 1121 10 1122 10 1123 10 1124 10 1125 10 1126 10 1127 10 1129 10 1130 10 1131 10 1132 10 1133 10 1134 10 1136 10 1137 10 1138 10 1139 10 1141 10 1142 10 1143 10 1144 10 1145 10 1146 10 1150 10 1151 10 1152 10 1153 10 1154 10 1155 10 1156 10 1157 10 1158 10 1159 10 1160 10 1161 10 1167 10 1168 10 1169 10 1170 10 1171 10 1173 10 1200 10 1201 10 1202 10 1203 10 1204 10 1205 10 1206 10 1207 10 1208 10 1209 10 1210 10 1211 10 1212 10 1214 10 1215 10 1216 10 1218 10 1219 10 1220 10 1221 10 1223 10 1225 10 1227 10 1228 10 1229 10 1230 10 1231 10 1232 10 1234 10 1235 10 1236 10 1237 10 1239 10 1240 10 1241 10 1242 10 1243 10 1244 10 1245 10 1246 10 1247 10 1248 10 1249 10 1250 10 1251 10 1252 10 1253 10 1254 10 1255 10 1257 10 1259 10 1261 10 1263 10 1264 10 1265 10 1266 10 1269 10 1270 10 1271 10 1272 10 1273 10 1274 10 1275 10 1276 10 1277 10 1278 10 1279 10 1280 10 1281 10 1282 10 1283 10 1284 10 1285 10 9012 10 9019 10 9043 10 9134 10 9166 10 9210 10 9225 10 9240 10 9265 10 9518 10 9616 10 9653 10 9694 10 Respondent ID Respondent ID 8110 0 1 6840 2 1040 3 160 4 30 5 20 6 10 7 10 Day of interview Date of Interview. Day. 8110 0 1 31 15.932 8.717 1 140 2 290 3 230 4 300 5 250 6 330 7 310 8 160 9 350 10 270 11 210 12 270 13 290 14 330 15 240 16 310 17 220 18 220 19 300 20 280 21 290 22 370 23 170 24 170 25 220 26 300 27 250 28 360 29 280 30 300 31 100 Month of interview Date of Interview. Month. 8110 0 3 1040 4 1960 5 1640 6 1440 7 1450 8 580 Year of interview Date of Interview. Year. 8110 0 2004 8110 Large farm equipment items Primary male respondent Equipment/ITEM 8110 0 1 Tractors 811 2 Trailers 811 3 Ploughs 811 4 Carts 811 5 Other animal drawn equipment 811 6 Watering equipment/sprinklers 811 7 Wheelbarrows 811 8 Chain saws 811 9 Other equipment/implements (specify) 811 91 811 Own Primary male respondent Do you or anyone in your household own [ITEM]? If answer is 2 > Go to next item. 8110 0 1 Yes 453 2 No 7644 8 13 Current value Primary male respondent What is the total current value of this [ITEM]? Value in KSh. 453 7657 40 680000 23483.21 69956.818 Share ownership Primary male respondent Do you share the ownership of this [ITEM] with anybody outside the household? If answer is 2 > Go to next item. 453 7657 1 Yes 18 2 No 428 8 7 Sysmiss 7657 IRID of person with whom you share Primary male respondent What is the IRID of the person with whom you share? If there are many people with whom it is shared, write the IRID for the person with the highest share. 18 0 R01 14 R02 2 R03 2 What is your share in percentage terms Primary male respondent What is your share in percentage terms? 18 8092 25 750 82.778 166.85 Assets module 3 0 1 Yes 3 2 No 0 Household ID Household ID 3 0 412 1124 743 358.624 412 1 693 1 1124 1 Respondent ID Respondent ID 3 0 1 3 Day of interview Date of Interview. Day. 3 0 6 13 9.667 3.512 6 1 10 1 13 1 Month of interview Date of Interview. Month. 3 0 4 1 5 1 7 1 Year of interview Date of Interview. Year. 3 0 2004 3 Equipment code Primary male respondent Please describe each equipment sale or gift by you or someone in your household since January 2000. Equipment code Note that each type of large farm equipment has a code - you should use this code when recording sales and purchases of specific equipment (in Sections III-a and III-b). 3 0 1 Tractors 3 2 Trailers 0 3 Ploughs 0 4 Carts 0 5 Other animal drawn equipment 0 6 Watering equipment/sprinklers 0 7 Wheelbarrows 0 8 Chain saws 0 9 Other equipment/implements (specify) 0 Equipment code Primary male respondent Please describe each equipment sale or gift by you or someone in your household since January 2000. Equipment code Note that each type of large farm equipment has a code - you should use this code when recording sales and purchases of specific equipment (in Sections III-a and III-b). 3 0 1 Tractors 2 2 Trailers 0 3 Ploughs 1 4 Carts 0 5 Other animal drawn equipment 0 6 Watering equipment/sprinklers 0 7 Wheelbarrows 0 8 Chain saws 0 9 Other equipment/implements (specify) 0 When was the sale - Month Primary male respondent When was this sale or gift? Month. Ask for exact month. 3 0 8 99 39.333 51.695 8 1 11 1 99 1 When was the sale - Year Primary male respondent When was this sale or gift? Year. 3 0 2000 1 2001 1 2002 1 How much sold the equipment Primary male respondent How much did you sell this … for? Amount. Go to 11.]]> 3 0 2500 400000 147166.667 219719.329 Share money with anyone outside HH Primary male respondent Did you share this money with anyone outside of the household? If answer is 2 > Go to 11. 3 0 1 Yes 0 2 No 3 How much went to someone - Amount Primary male respondent How much of this amount went to someone else outside of your household? Amt. Ask for amount and IRID of each recipient. 0 3 How much went to someone - IRID Primary male respondent How much of this amount went to someone else outside of your household? IRID. 0 0 How much went to someone - Amount Primary male respondent How much of this amount went to someone else outside of your household? Amt. Ask for amount and IRID of each recipient. 0 3 How much went to someone - IRID Primary male respondent How much of this amount went to someone else outside of your household? IRID. 0 0 How much went to someone - Amount Primary male respondent How much of this amount went to someone else outside of your household? Amt. Ask for amount and IRID of each recipient. 0 3 How much went to someone - IRID Primary male respondent How much of this amount went to someone else outside of your household? IRID. 0 0 Why sold the equipement Primary male respondent Why did you sell this equipment? 3 0 1 Health expenses 0 2 School fees 0 3 Buy/invest in a business 2 4 Raise money for planting season 0 5 Wedding or other ceremony 0 6 Other (specify) 1 Assets module 28 0 1 Yes 28 Household ID Household ID 28 0 38 1272 803.607 420.438 38 3 304 1 309 1 313 1 402 1 404 1 601 1 715 2 751 1 814 1 914 1 931 1 937 1 1005 1 1124 1 1142 1 1153 1 1161 1 1228 2 1232 1 1239 1 1245 1 1248 1 1272 1 Respondent ID Respondent ID 28 0 1 21 2 3 3 2 6 1 7 1 Day of interview Date of Interview. 28 0 1 30 13.071 8.798 1 1 2 1 3 1 4 3 5 1 6 2 10 4 11 1 13 3 14 2 16 1 18 1 19 1 21 1 22 1 27 1 30 3 Month of interview Date of Interview. 28 0 3 4 4 5 5 4 6 3 7 6 8 6 Year of interview Date of Interview. 28 0 2004 28 Count of purchased equipment Primary male respondent 28 0 Equipment code Please describe each equipment purchase or gift to you or someone in your household since January 2000. Equipment code 28 0 1 Tractors 5 2 Trailers 1 3 Ploughs 2 4 Carts 0 5 Other animal drawn equipment 1 6 Watering equipment/sprinklers 5 7 Wheelbarrows 10 8 Chain saws 4 9 Other equipment/implements (specify) 0 Equipment code Please describe each equipment purchase or gift to you or someone in your household since January 2000. Equipment code 28 0 1 Tractors 24 2 Trailers 3 3 Ploughs 1 4 Carts 0 5 Other animal drawn equipment 0 6 Watering equipment/sprinklers 0 7 Wheelbarrows 0 8 Chain saws 0 9 Other equipment/implements (specify) 0 When was the acquisition - Month Primary male respondent When was this acquisition? Month. Ask for exact month. 28 0 1 99 12.679 24.653 1 3 2 2 3 1 4 6 5 3 6 2 8 1 9 2 10 1 12 5 99 2 When was the acquisition - Year Primary male respondent When was this acquisition? Year. 28 0 2000 2 2001 5 2002 5 2003 8 2004 8 How aqcuired the equipment Primary male respondent How did you acquire this equipment? If answer is 2 or 3 > Go to next purchase. 28 0 1 Bought or borrowed 27 2 Gift 1 3 Inherited 0 4 Other (specify) 0 Quantity of equipment purchased - Quantity Primary male respondent What was the quantity of equipment purchased/gifted and how much did you pay in total? Quantity purchased/gifted. 27 1 Quantity of equipment purchased - Total amount paid Primary male respondent What was the quantity of equipment purchased/gifted and how much did you pay in total? Total amount paid. 27 1 80 300000 39695.519 67965.204 Anyone outside HH help to pay - Amount Primary male respondent Did anyone outside of your household help you pay? Amt. 26 2 0 70000 4134.615 14473.118 Anyone outside HH help to pay - IRID Primary male respondent Did anyone outside of your household help you pay? IRID. 3 0 R01 3 Anyone outside HH help to pay - Amount Primary male respondent Did anyone outside of your household help you pay? Amt. 24 4 Anyone outside HH help to pay - IRID Primary male respondent Did anyone outside of your household help you pay? IRID. 0 0 Anyone outside HH help to pay - Amount Primary male respondent Did anyone outside of your household help you pay? Amt. 24 4 Anyone outside HH help to pay - IRID Primary male respondent Did anyone outside of your household help you pay? IRID. 0 0 Assets module 6488 0 1 Yes 6488 2 No 0 Household ID Household ID 6488 0 1 9694 798.933 1144.952 1 8 3 8 4 8 5 8 6 8 7 8 8 8 9 8 10 8 11 8 12 8 13 8 14 8 15 8 16 8 17 8 18 8 19 8 20 8 21 8 22 8 23 8 24 8 25 8 26 8 27 8 28 8 29 8 30 8 31 8 32 8 33 8 34 8 35 8 38 8 39 8 41 8 43 8 44 8 46 8 47 8 48 8 49 8 50 8 53 8 55 8 56 8 58 8 60 8 61 8 62 8 64 8 65 8 66 8 67 8 68 8 69 8 70 8 73 8 74 8 75 8 76 8 77 8 78 8 79 8 80 8 82 8 84 8 89 8 93 8 94 8 95 8 97 8 98 8 99 8 102 8 103 8 104 8 106 8 108 8 109 8 110 8 111 8 112 8 113 8 114 8 115 8 117 8 120 8 121 8 123 8 124 8 125 8 128 8 150 8 151 8 152 8 154 8 155 8 156 8 158 8 161 8 162 8 163 8 164 8 165 8 166 8 167 8 168 8 169 8 170 8 171 8 172 8 173 8 174 8 200 8 201 8 202 8 203 8 204 8 205 8 206 8 207 8 208 8 209 8 210 8 211 8 212 8 213 8 216 8 217 8 218 8 219 8 221 8 222 8 223 8 250 8 251 8 252 8 253 8 254 8 255 8 256 8 257 8 258 8 259 8 260 8 261 8 262 8 263 8 264 8 265 8 266 8 267 8 268 8 269 8 273 8 274 8 275 8 276 8 277 8 278 8 279 8 280 8 281 8 282 8 300 8 301 8 302 8 303 8 304 8 305 8 306 8 307 8 309 8 310 8 311 8 312 8 313 8 314 8 315 8 316 8 317 8 318 8 350 8 351 8 352 8 353 8 354 8 355 8 356 8 357 8 358 8 359 8 360 8 361 8 362 8 363 8 364 8 365 8 366 8 368 8 369 8 372 8 400 8 401 8 402 8 403 8 404 8 405 8 406 8 407 8 409 8 410 8 411 8 412 8 415 8 417 8 418 8 419 8 420 8 421 8 422 8 423 8 424 8 425 8 426 8 427 8 428 8 429 8 430 8 431 8 434 8 436 8 438 8 450 8 451 8 452 8 453 8 454 8 455 8 456 8 457 8 458 8 459 8 460 8 461 8 462 8 463 8 464 8 465 8 466 8 467 8 468 8 469 8 470 8 473 8 475 8 476 8 478 8 479 8 480 8 481 8 482 8 483 8 484 8 485 8 486 8 487 8 488 8 489 8 490 8 500 8 501 8 502 8 504 8 505 8 506 8 507 8 508 8 509 8 510 8 511 8 512 8 513 8 514 8 515 8 516 8 518 8 519 8 520 8 521 8 522 8 523 8 524 8 525 8 526 8 527 8 528 8 529 8 530 8 531 8 532 8 533 8 534 8 535 8 537 8 538 8 539 8 540 8 541 8 542 8 543 8 544 8 545 8 546 8 547 8 548 8 549 8 550 8 551 8 552 8 554 8 556 8 557 8 559 8 560 8 562 8 563 8 564 8 565 8 566 8 568 8 580 8 581 8 582 8 585 8 587 8 588 8 589 8 590 8 591 8 593 8 594 8 595 8 597 8 598 8 599 8 600 8 601 8 602 8 603 8 604 8 605 8 606 8 607 8 608 8 609 8 610 8 611 8 612 8 615 8 616 8 617 8 618 8 619 8 620 8 621 8 622 8 623 8 624 8 625 8 626 8 627 8 628 8 630 8 631 8 632 8 633 8 634 8 635 8 637 8 639 8 640 8 652 8 653 8 656 8 658 8 660 8 663 8 665 8 666 8 667 8 670 8 671 8 673 8 674 8 675 8 676 8 677 8 678 8 679 8 680 8 681 8 682 8 683 8 686 8 687 8 688 8 689 8 690 8 691 8 692 8 693 8 694 8 696 8 697 8 698 8 699 8 700 8 701 8 702 8 703 8 706 8 707 8 708 8 709 8 710 8 711 8 712 8 715 8 716 8 717 8 720 8 721 8 722 8 723 8 724 8 725 8 726 8 727 8 728 8 730 8 731 8 732 8 733 8 735 8 736 8 737 8 738 8 739 8 740 8 741 8 742 8 746 8 747 8 748 8 751 8 752 8 755 8 757 8 758 8 764 8 766 8 775 8 776 8 779 8 780 8 781 8 783 8 784 8 786 8 787 8 790 8 791 8 792 8 793 8 794 8 800 8 801 8 802 8 803 8 804 8 805 8 806 8 807 8 808 8 809 8 810 8 811 8 812 8 813 8 814 8 815 8 816 8 817 8 818 8 819 8 820 8 821 8 822 8 823 8 824 8 825 8 826 8 827 8 828 8 829 8 830 8 831 8 832 8 833 8 834 8 835 8 836 8 837 8 838 8 839 8 840 8 841 8 842 8 843 8 844 8 845 8 846 8 847 8 848 8 849 8 850 8 851 8 852 8 853 8 854 8 855 8 856 8 900 8 901 8 902 8 903 8 904 8 905 8 906 8 907 8 908 8 909 8 911 8 912 8 913 8 914 8 915 8 916 8 917 8 918 8 919 8 920 8 921 8 922 8 923 8 924 8 925 8 926 8 927 8 928 8 929 8 930 8 931 8 932 8 933 8 934 8 935 8 936 8 937 8 938 8 939 8 940 8 941 8 942 8 943 8 944 8 945 8 946 8 947 8 948 8 949 8 950 8 951 8 952 8 953 8 954 8 955 8 956 8 957 8 958 8 959 8 960 8 961 8 962 8 963 8 964 8 965 8 966 8 967 8 968 8 969 8 970 8 971 8 972 8 973 8 974 8 975 8 976 8 977 8 978 8 979 8 980 8 982 8 983 8 984 8 985 8 986 8 987 8 988 8 989 8 990 8 991 8 992 8 993 8 994 8 995 8 996 8 997 8 998 8 999 8 1000 8 1001 8 1002 8 1003 8 1004 8 1005 8 1006 8 1007 8 1008 8 1009 8 1010 8 1011 8 1012 8 1013 8 1014 8 1015 8 1016 8 1017 8 1018 8 1019 8 1020 8 1021 8 1022 8 1023 8 1024 8 1025 8 1026 8 1027 8 1028 8 1029 8 1030 8 1031 8 1100 8 1101 8 1102 8 1104 8 1105 8 1106 8 1107 8 1108 8 1109 8 1110 8 1111 8 1113 8 1114 8 1115 8 1116 8 1117 8 1118 8 1119 8 1120 8 1121 8 1122 8 1123 8 1124 8 1125 8 1126 8 1127 8 1129 8 1130 8 1131 8 1132 8 1133 8 1134 8 1136 8 1137 8 1138 8 1139 8 1141 8 1142 8 1143 8 1144 8 1145 8 1146 8 1150 8 1151 8 1152 8 1153 8 1154 8 1155 8 1156 8 1157 8 1158 8 1159 8 1160 8 1161 8 1167 8 1168 8 1169 8 1170 8 1171 8 1173 8 1200 8 1201 8 1202 8 1203 8 1204 8 1205 8 1206 8 1207 8 1208 8 1209 8 1210 8 1211 8 1212 8 1214 8 1215 8 1216 8 1218 8 1219 8 1220 8 1221 8 1223 8 1225 8 1227 8 1228 8 1229 8 1230 8 1231 8 1232 8 1234 8 1235 8 1236 8 1237 8 1239 8 1240 8 1241 8 1242 8 1243 8 1244 8 1245 8 1246 8 1247 8 1248 8 1249 8 1250 8 1251 8 1252 8 1253 8 1254 8 1255 8 1257 8 1259 8 1261 8 1263 8 1264 8 1265 8 1266 8 1269 8 1270 8 1271 8 1272 8 1273 8 1274 8 1275 8 1276 8 1277 8 1278 8 1279 8 1280 8 1281 8 1282 8 1283 8 1284 8 1285 8 9012 8 9019 8 9043 8 9134 8 9166 8 9210 8 9225 8 9240 8 9265 8 9518 8 9616 8 9653 8 9694 8 Respondent ID Respondent ID 6488 0 1 5472 2 832 3 128 4 24 5 16 6 8 7 8 Day of interview Date of Interview. Day. 6488 0 1 31 15.932 8.717 1 112 2 232 3 184 4 240 5 200 6 264 7 248 8 128 9 280 10 216 11 168 12 216 13 232 14 264 15 192 16 248 17 176 18 176 19 240 20 224 21 232 22 296 23 136 24 136 25 176 26 240 27 200 28 288 29 224 30 240 31 80 Month of interview Date of Interview. Month. 6488 0 3 832 4 1568 5 1312 6 1152 7 1160 8 464 Year of interview Date of Interview. Year. 6488 0 2004 6488 Small farm equipment items Primary male respondent ITEMS 6488 0 1 Hoes/Jembe 811 2 Axes 811 3 Machetes 811 4 Picks 811 5 Shovels/spade 811 6 Sickles 811 7 Slasher 811 8 Panga 811 How many hoes HH currently own Primary male respondent How many [ITEMS] do members of your household currently own? 6488 0 0 98 1.045 2.271 Total value Primary male respondent What is the total value of all the [ITEMS] if you were to sell them today? 3555 2933 1 6000 262.344 303.183 How many did own in DEC 2003 Primary male respondent How many [ITEMS] did you own in December 2003? [Quantity] 6488 0 0 98 1.477 7.053 How many did own in DEC 2002 Primary male respondent How many [ITEMS] did you own in December 2002? [Quantity] 6488 0 0 98 1.547 7.815 Assets module 5677 0 1 Yes 5677 2 No 0 Household ID Household ID 5677 0 1 9694 798.933 1144.965 1 7 3 7 4 7 5 7 6 7 7 7 8 7 9 7 10 7 11 7 12 7 13 7 14 7 15 7 16 7 17 7 18 7 19 7 20 7 21 7 22 7 23 7 24 7 25 7 26 7 27 7 28 7 29 7 30 7 31 7 32 7 33 7 34 7 35 7 38 7 39 7 41 7 43 7 44 7 46 7 47 7 48 7 49 7 50 7 53 7 55 7 56 7 58 7 60 7 61 7 62 7 64 7 65 7 66 7 67 7 68 7 69 7 70 7 73 7 74 7 75 7 76 7 77 7 78 7 79 7 80 7 82 7 84 7 89 7 93 7 94 7 95 7 97 7 98 7 99 7 102 7 103 7 104 7 106 7 108 7 109 7 110 7 111 7 112 7 113 7 114 7 115 7 117 7 120 7 121 7 123 7 124 7 125 7 128 7 150 7 151 7 152 7 154 7 155 7 156 7 158 7 161 7 162 7 163 7 164 7 165 7 166 7 167 7 168 7 169 7 170 7 171 7 172 7 173 7 174 7 200 7 201 7 202 7 203 7 204 7 205 7 206 7 207 7 208 7 209 7 210 7 211 7 212 7 213 7 216 7 217 7 218 7 219 7 221 7 222 7 223 7 250 7 251 7 252 7 253 7 254 7 255 7 256 7 257 7 258 7 259 7 260 7 261 7 262 7 263 7 264 7 265 7 266 7 267 7 268 7 269 7 273 7 274 7 275 7 276 7 277 7 278 7 279 7 280 7 281 7 282 7 300 7 301 7 302 7 303 7 304 7 305 7 306 7 307 7 309 7 310 7 311 7 312 7 313 7 314 7 315 7 316 7 317 7 318 7 350 7 351 7 352 7 353 7 354 7 355 7 356 7 357 7 358 7 359 7 360 7 361 7 362 7 363 7 364 7 365 7 366 7 368 7 369 7 372 7 400 7 401 7 402 7 403 7 404 7 405 7 406 7 407 7 409 7 410 7 411 7 412 7 415 7 417 7 418 7 419 7 420 7 421 7 422 7 423 7 424 7 425 7 426 7 427 7 428 7 429 7 430 7 431 7 434 7 436 7 438 7 450 7 451 7 452 7 453 7 454 7 455 7 456 7 457 7 458 7 459 7 460 7 461 7 462 7 463 7 464 7 465 7 466 7 467 7 468 7 469 7 470 7 473 7 475 7 476 7 478 7 479 7 480 7 481 7 482 7 483 7 484 7 485 7 486 7 487 7 488 7 489 7 490 7 500 7 501 7 502 7 504 7 505 7 506 7 507 7 508 7 509 7 510 7 511 7 512 7 513 7 514 7 515 7 516 7 518 7 519 7 520 7 521 7 522 7 523 7 524 7 525 7 526 7 527 7 528 7 529 7 530 7 531 7 532 7 533 7 534 7 535 7 537 7 538 7 539 7 540 7 541 7 542 7 543 7 544 7 545 7 546 7 547 7 548 7 549 7 550 7 551 7 552 7 554 7 556 7 557 7 559 7 560 7 562 7 563 7 564 7 565 7 566 7 568 7 580 7 581 7 582 7 585 7 587 7 588 7 589 7 590 7 591 7 593 7 594 7 595 7 597 7 598 7 599 7 600 7 601 7 602 7 603 7 604 7 605 7 606 7 607 7 608 7 609 7 610 7 611 7 612 7 615 7 616 7 617 7 618 7 619 7 620 7 621 7 622 7 623 7 624 7 625 7 626 7 627 7 628 7 630 7 631 7 632 7 633 7 634 7 635 7 637 7 639 7 640 7 652 7 653 7 656 7 658 7 660 7 663 7 665 7 666 7 667 7 670 7 671 7 673 7 674 7 675 7 676 7 677 7 678 7 679 7 680 7 681 7 682 7 683 7 686 7 687 7 688 7 689 7 690 7 691 7 692 7 693 7 694 7 696 7 697 7 698 7 699 7 700 7 701 7 702 7 703 7 706 7 707 7 708 7 709 7 710 7 711 7 712 7 715 7 716 7 717 7 720 7 721 7 722 7 723 7 724 7 725 7 726 7 727 7 728 7 730 7 731 7 732 7 733 7 735 7 736 7 737 7 738 7 739 7 740 7 741 7 742 7 746 7 747 7 748 7 751 7 752 7 755 7 757 7 758 7 764 7 766 7 775 7 776 7 779 7 780 7 781 7 783 7 784 7 786 7 787 7 790 7 791 7 792 7 793 7 794 7 800 7 801 7 802 7 803 7 804 7 805 7 806 7 807 7 808 7 809 7 810 7 811 7 812 7 813 7 814 7 815 7 816 7 817 7 818 7 819 7 820 7 821 7 822 7 823 7 824 7 825 7 826 7 827 7 828 7 829 7 830 7 831 7 832 7 833 7 834 7 835 7 836 7 837 7 838 7 839 7 840 7 841 7 842 7 843 7 844 7 845 7 846 7 847 7 848 7 849 7 850 7 851 7 852 7 853 7 854 7 855 7 856 7 900 7 901 7 902 7 903 7 904 7 905 7 906 7 907 7 908 7 909 7 911 7 912 7 913 7 914 7 915 7 916 7 917 7 918 7 919 7 920 7 921 7 922 7 923 7 924 7 925 7 926 7 927 7 928 7 929 7 930 7 931 7 932 7 933 7 934 7 935 7 936 7 937 7 938 7 939 7 940 7 941 7 942 7 943 7 944 7 945 7 946 7 947 7 948 7 949 7 950 7 951 7 952 7 953 7 954 7 955 7 956 7 957 7 958 7 959 7 960 7 961 7 962 7 963 7 964 7 965 7 966 7 967 7 968 7 969 7 970 7 971 7 972 7 973 7 974 7 975 7 976 7 977 7 978 7 979 7 980 7 982 7 983 7 984 7 985 7 986 7 987 7 988 7 989 7 990 7 991 7 992 7 993 7 994 7 995 7 996 7 997 7 998 7 999 7 1000 7 1001 7 1002 7 1003 7 1004 7 1005 7 1006 7 1007 7 1008 7 1009 7 1010 7 1011 7 1012 7 1013 7 1014 7 1015 7 1016 7 1017 7 1018 7 1019 7 1020 7 1021 7 1022 7 1023 7 1024 7 1025 7 1026 7 1027 7 1028 7 1029 7 1030 7 1031 7 1100 7 1101 7 1102 7 1104 7 1105 7 1106 7 1107 7 1108 7 1109 7 1110 7 1111 7 1113 7 1114 7 1115 7 1116 7 1117 7 1118 7 1119 7 1120 7 1121 7 1122 7 1123 7 1124 7 1125 7 1126 7 1127 7 1129 7 1130 7 1131 7 1132 7 1133 7 1134 7 1136 7 1137 7 1138 7 1139 7 1141 7 1142 7 1143 7 1144 7 1145 7 1146 7 1150 7 1151 7 1152 7 1153 7 1154 7 1155 7 1156 7 1157 7 1158 7 1159 7 1160 7 1161 7 1167 7 1168 7 1169 7 1170 7 1171 7 1173 7 1200 7 1201 7 1202 7 1203 7 1204 7 1205 7 1206 7 1207 7 1208 7 1209 7 1210 7 1211 7 1212 7 1214 7 1215 7 1216 7 1218 7 1219 7 1220 7 1221 7 1223 7 1225 7 1227 7 1228 7 1229 7 1230 7 1231 7 1232 7 1234 7 1235 7 1236 7 1237 7 1239 7 1240 7 1241 7 1242 7 1243 7 1244 7 1245 7 1246 7 1247 7 1248 7 1249 7 1250 7 1251 7 1252 7 1253 7 1254 7 1255 7 1257 7 1259 7 1261 7 1263 7 1264 7 1265 7 1266 7 1269 7 1270 7 1271 7 1272 7 1273 7 1274 7 1275 7 1276 7 1277 7 1278 7 1279 7 1280 7 1281 7 1282 7 1283 7 1284 7 1285 7 9012 7 9019 7 9043 7 9134 7 9166 7 9210 7 9225 7 9240 7 9265 7 9518 7 9616 7 9653 7 9694 7 Respondent ID Respondent ID 5677 0 1 4788 2 728 3 112 4 21 5 14 6 7 7 7 Day of interview Date of Interview. Day. 5677 0 1 31 15.932 8.717 1 98 2 203 3 161 4 210 5 175 6 231 7 217 8 112 9 245 10 189 11 147 12 189 13 203 14 231 15 168 16 217 17 154 18 154 19 210 20 196 21 203 22 259 23 119 24 119 25 154 26 210 27 175 28 252 29 196 30 210 31 70 Month of interview Date of Interview. Month. 5677 0 3 728 4 1372 5 1148 6 1008 7 1015 8 406 Year of interview Date of Interview. Year. 5677 0 2004 5677 Vehicles Primary male respondent I would like to ask you about any vehicles owned by you or members of your household currently. Equipment/ITEM 5677 0 1 Car/pickup 811 2 Truck 811 3 Motorcycle 811 4 Matatu/business vehicle 811 5 Bicycle 811 6 Other (specify) 1622 Own Primary male respondent Do you or anyone in your household own [ITEM]? If answer is 2 > Go to next item. 5677 0 1 Yes 391 2 No 5277 8 9 Total current value Primary male respondent What is the total current value of this [ITEM]? 391 5286 98 1000000 31932.726 110780.09 Share ownership Primary male respondent Do you share the ownership of this [ITEM] with anybody outside the household? If answer is 2 > Go to next item. 391 5286 1 Yes 6 2 No 383 8 2 Sysmiss 5286 IRID of the person whom share with Primary male respondent What is the IRID of the person with whom you share? 6 0 04 1 R01 3 R02 1 R06 1 Share percentage Primary male respondent What is your share in percent terms? Percent share belonging to respondent. 6 5671 0 50 30 24.495 Assets module 75 0 1 Yes 75 2 No 0 Household ID Household ID 75 0 13 9653 776.96 1128.752 13 1 27 1 38 1 61 1 67 1 73 1 76 1 109 1 120 1 125 1 152 1 162 1 173 1 207 1 209 1 250 1 254 1 256 1 257 1 261 1 267 1 268 1 269 1 278 1 282 1 306 1 368 1 412 4 466 1 480 1 529 1 531 1 532 1 600 1 616 1 620 1 626 1 652 1 653 1 670 1 679 1 716 1 811 1 966 1 969 1 993 1 1024 1 1118 1 1124 2 1136 1 1141 3 1153 1 1204 1 1208 1 1211 1 1214 1 1216 1 1219 1 1237 1 1239 1 1241 1 1245 1 1250 1 1257 1 1269 1 1273 2 1276 1 9653 1 Respondent ID Respondent ID 75 0 1 68 2 6 7 1 Day of interview Date of Interview. Day. 75 0 1 31 16.08 9.87 1 3 2 1 3 2 4 3 5 5 6 7 7 2 8 1 9 3 10 1 11 1 13 6 14 4 15 1 18 2 20 1 21 4 22 4 24 2 25 1 26 6 27 1 28 1 29 7 30 4 31 2 Month of interview Date of Interview. Month. 75 0 3 10 4 20 5 12 6 6 7 18 8 9 Year of interview Date of Interview. Year. 75 0 2004 75 Vehicle code Primary male respondent Please describe each vehicle sale or gift by you or someone in your household since January 2000. Vehicle code 75 0 1 Car/pickup 68 2 Truck 4 3 Motorcycle 2 4 Matatu/business vehicle 1 5 Bicycle 0 6 Other (specify) 0 Vehicle code Primary male respondent Please describe each vehicle sale or gift by you or someone in your household since January 2000. Vehicle code 75 0 1 Car/pickup 17 2 Truck 1 3 Motorcycle 0 4 Matatu/business vehicle 4 5 Bicycle 53 6 Other (specify) 0 When was the sale - Month Primary male respondent When was this sale or gift? Month. Ask for exact month. 75 0 1 99 11.013 21.301 1 4 2 6 3 13 4 8 5 4 6 8 7 5 8 5 9 3 10 1 11 5 12 9 99 4 When was the sale - Year Primary male respondent When was this sale or gift? Year. 75 0 2000 9 2001 8 2002 21 2003 25 2004 12 How much did you sell Primary male respondent How much did you sell this … for? Go to 10.]]> 75 0 0 450000 44897.333 90629.018 Shared money with anyone outside HH Primary male respondent Did you share this money with anyone outside of the household? If answer is 2 > Go to 10. 75 0 1 Yes 4 2 No 71 How much went to someone - Amount Primary male respondent How much of this amount went to someone else outside of your household? Amt. Ask for amount and IRID of each recipient. 4 71 600 100000 45150 47771.226 How much went to someone - IRID Primary male respondent How much of this amount went to someone else outside of your household? IRID. 4 0 04 1 R01 3 How much went to someone - Amount Primary male respondent How much of this amount went to someone else outside of your household? Amt. Ask for amount and IRID of each recipient. 3 72 0 5000 1666.667 2886.751 How much went to someone - IRID Primary male respondent How much of this amount went to someone else outside of your household? IRID. 1 0 08 1 How much went to someone - Amount Primary male respondent How much of this amount went to someone else outside of your household? Amt. Ask for amount and IRID of each recipient. 3 72 0 3000 1000 1732.051 How much went to someone - IRID Primary male respondent How much of this amount went to someone else outside of your household? IRID. 1 0 07 1 Why sold the vehicle Primary male respondent Why did you sell this vehicle? 75 0 1 Health expenses 8 2 School fees 6 3 Buy/invest in a business 28 4 Raise money for planting season 14 5 Wedding or other ceremony 1 6 Other (specify) 17 9 1 Assets module 128 0 1 Yes 128 2 No 0 Household ID Household ID 128 0 3 9653 781.313 1190.582 3 1 6 1 12 1 13 1 26 2 34 1 38 1 64 1 67 1 73 1 109 1 110 1 128 1 152 1 154 1 155 1 156 1 162 1 168 1 173 1 206 1 209 1 216 1 250 1 253 1 254 1 256 1 257 1 259 1 260 1 261 1 267 1 278 1 306 1 309 1 313 1 351 1 365 1 407 1 412 4 420 1 423 1 426 1 428 1 438 1 452 1 467 1 480 1 481 1 482 1 486 1 516 1 526 1 529 1 531 1 532 1 546 1 605 1 607 1 610 1 616 1 624 1 626 1 634 1 673 1 675 1 686 1 690 2 699 1 700 1 715 1 733 1 758 1 776 1 780 1 787 1 804 1 837 1 849 1 924 1 937 1 951 1 971 1 974 1 976 1 982 1 986 1 993 1 997 1 1018 1 1024 1 1031 1 1104 1 1107 1 1109 1 1115 1 1118 1 1124 1 1141 3 1144 1 1161 1 1171 1 1204 1 1208 1 1219 1 1229 1 1236 1 1241 1 1255 1 1265 1 1266 2 1269 1 1270 1 1273 3 1276 1 1285 1 9616 1 9653 1 Respondent ID Respondent ID 128 0 1 111 2 15 3 1 5 1 Day of interview Date of Interview. Day. 128 0 1 31 13.922 8.932 1 2 2 4 3 8 4 4 5 5 6 16 7 3 8 4 9 6 10 7 11 3 13 6 14 8 15 4 16 4 17 2 18 2 19 4 21 2 22 5 23 3 24 3 25 2 26 5 27 2 28 2 29 3 30 8 31 1 Month of interview Date of Interview. Month. 128 0 3 20 4 35 5 23 6 13 7 24 8 13 Year of interview Date of Interview. Year. 128 0 2004 128 Count of vehicle 128 0 Vehicle code Please describe each vehicle purchase or gift to you or someone in your household since January 2000. Vehicle code 128 0 1 Car/pickup 118 2 Truck 6 3 Motorcycle 3 4 Matatu/business vehicle 1 5 Bicycle 0 6 Other (specify) 0 Vehicle code Please describe each vehicle purchase or gift to you or someone in your household since January 2000. Vehicle code 128 0 1 Car/pickup 22 2 Truck 1 3 Motorcycle 1 4 Matatu/business vehicle 1 5 Bicycle 103 6 Other (specify) 0 When was the acquisition - Month Primary male respondent When was this acquisition? Month. Ask for exact month. 128 0 1 99 11.281 21.475 1 17 2 10 3 12 4 11 5 5 6 13 7 5 8 10 9 7 10 6 11 6 12 19 98 1 99 6 When was the acquisition - Year Primary male respondent When was this acquisition? Year. 128 0 2000 22 2001 21 2002 30 2003 36 2004 19 How many vehicles were acquired - Quantity Primary male respondent How many [vehicles] were acquired and how much did was paid in total? Quantity. 128 0 How many vehicles were acquired - Total value Primary male respondent How many [vehicles] were acquired and how much did was paid in total? Total value. 128 0 1300 600000 38616.406 96039.652 How acquired the vehicle Primary male respondent How did you acquire this vehicle? If answer is 2 or 3 > Go to next purchase. 128 0 1 Bought or borrowed 128 2 Gift 0 3 Inherited 0 4 Other (specify) 0 Anyone outside help to pay - Amount Primary male respondent Did anyone outside of your household help you pay? Amt. 123 5 0 300000 2854.455 27205.776 Anyone outside help to pay - IRID Primary male respondent Did anyone outside of your household help you pay? IRID. 6 0 0 2 R01 4 Anyone outside help to pay - Amount Primary male respondent Did anyone outside of your household help you pay? Amt. 121 7 0 98 0.81 8.909 Anyone outside help to pay - IRID Primary male respondent Did anyone outside of your household help you pay? IRID. 2 0 0 2 Anyone outside help to pay - Amount Primary male respondent Did anyone outside of your household help you pay? Amt. 121 7 0 98 0.81 8.909 Anyone outside help to pay - IRID Primary male respondent Did anyone outside of your household help you pay? IRID. 2 0 0 2 Assets module 8110 0 1 Yes 8110 2 No 0 Household ID Household ID 8110 0 1 9694 798.933 1144.934 1 10 3 10 4 10 5 10 6 10 7 10 8 10 9 10 10 10 11 10 12 10 13 10 14 10 15 10 16 10 17 10 18 10 19 10 20 10 21 10 22 10 23 10 24 10 25 10 26 10 27 10 28 10 29 10 30 10 31 10 32 10 33 10 34 10 35 10 38 10 39 10 41 10 43 10 44 10 46 10 47 10 48 10 49 10 50 10 53 10 55 10 56 10 58 10 60 10 61 10 62 10 64 10 65 10 66 10 67 10 68 10 69 10 70 10 73 10 74 10 75 10 76 10 77 10 78 10 79 10 80 10 82 10 84 10 89 10 93 10 94 10 95 10 97 10 98 10 99 10 102 10 103 10 104 10 106 10 108 10 109 10 110 10 111 10 112 10 113 10 114 10 115 10 117 10 120 10 121 10 123 10 124 10 125 10 128 10 150 10 151 10 152 10 154 10 155 10 156 10 158 10 161 10 162 10 163 10 164 10 165 10 166 10 167 10 168 10 169 10 170 10 171 10 172 10 173 10 174 10 200 10 201 10 202 10 203 10 204 10 205 10 206 10 207 10 208 10 209 10 210 10 211 10 212 10 213 10 216 10 217 10 218 10 219 10 221 10 222 10 223 10 250 10 251 10 252 10 253 10 254 10 255 10 256 10 257 10 258 10 259 10 260 10 261 10 262 10 263 10 264 10 265 10 266 10 267 10 268 10 269 10 273 10 274 10 275 10 276 10 277 10 278 10 279 10 280 10 281 10 282 10 300 10 301 10 302 10 303 10 304 10 305 10 306 10 307 10 309 10 310 10 311 10 312 10 313 10 314 10 315 10 316 10 317 10 318 10 350 10 351 10 352 10 353 10 354 10 355 10 356 10 357 10 358 10 359 10 360 10 361 10 362 10 363 10 364 10 365 10 366 10 368 10 369 10 372 10 400 10 401 10 402 10 403 10 404 10 405 10 406 10 407 10 409 10 410 10 411 10 412 10 415 10 417 10 418 10 419 10 420 10 421 10 422 10 423 10 424 10 425 10 426 10 427 10 428 10 429 10 430 10 431 10 434 10 436 10 438 10 450 10 451 10 452 10 453 10 454 10 455 10 456 10 457 10 458 10 459 10 460 10 461 10 462 10 463 10 464 10 465 10 466 10 467 10 468 10 469 10 470 10 473 10 475 10 476 10 478 10 479 10 480 10 481 10 482 10 483 10 484 10 485 10 486 10 487 10 488 10 489 10 490 10 500 10 501 10 502 10 504 10 505 10 506 10 507 10 508 10 509 10 510 10 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934 10 935 10 936 10 937 10 938 10 939 10 940 10 941 10 942 10 943 10 944 10 945 10 946 10 947 10 948 10 949 10 950 10 951 10 952 10 953 10 954 10 955 10 956 10 957 10 958 10 959 10 960 10 961 10 962 10 963 10 964 10 965 10 966 10 967 10 968 10 969 10 970 10 971 10 972 10 973 10 974 10 975 10 976 10 977 10 978 10 979 10 980 10 982 10 983 10 984 10 985 10 986 10 987 10 988 10 989 10 990 10 991 10 992 10 993 10 994 10 995 10 996 10 997 10 998 10 999 10 1000 10 1001 10 1002 10 1003 10 1004 10 1005 10 1006 10 1007 10 1008 10 1009 10 1010 10 1011 10 1012 10 1013 10 1014 10 1015 10 1016 10 1017 10 1018 10 1019 10 1020 10 1021 10 1022 10 1023 10 1024 10 1025 10 1026 10 1027 10 1028 10 1029 10 1030 10 1031 10 1100 10 1101 10 1102 10 1104 10 1105 10 1106 10 1107 10 1108 10 1109 10 1110 10 1111 10 1113 10 1114 10 1115 10 1116 10 1117 10 1118 10 1119 10 1120 10 1121 10 1122 10 1123 10 1124 10 1125 10 1126 10 1127 10 1129 10 1130 10 1131 10 1132 10 1133 10 1134 10 1136 10 1137 10 1138 10 1139 10 1141 10 1142 10 1143 10 1144 10 1145 10 1146 10 1150 10 1151 10 1152 10 1153 10 1154 10 1155 10 1156 10 1157 10 1158 10 1159 10 1160 10 1161 10 1167 10 1168 10 1169 10 1170 10 1171 10 1173 10 1200 10 1201 10 1202 10 1203 10 1204 10 1205 10 1206 10 1207 10 1208 10 1209 10 1210 10 1211 10 1212 10 1214 10 1215 10 1216 10 1218 10 1219 10 1220 10 1221 10 1223 10 1225 10 1227 10 1228 10 1229 10 1230 10 1231 10 1232 10 1234 10 1235 10 1236 10 1237 10 1239 10 1240 10 1241 10 1242 10 1243 10 1244 10 1245 10 1246 10 1247 10 1248 10 1249 10 1250 10 1251 10 1252 10 1253 10 1254 10 1255 10 1257 10 1259 10 1261 10 1263 10 1264 10 1265 10 1266 10 1269 10 1270 10 1271 10 1272 10 1273 10 1274 10 1275 10 1276 10 1277 10 1278 10 1279 10 1280 10 1281 10 1282 10 1283 10 1284 10 1285 10 9012 10 9019 10 9043 10 9134 10 9166 10 9210 10 9225 10 9240 10 9265 10 9518 10 9616 10 9653 10 9694 10 Respondent ID Respondent ID 8110 0 1 6840 2 1040 3 160 4 30 5 20 6 10 7 10 Day of interview Date of Interview. Day. 8110 0 1 31 15.932 8.717 1 140 2 290 3 230 4 300 5 250 6 330 7 310 8 160 9 350 10 270 11 210 12 270 13 290 14 330 15 240 16 310 17 220 18 220 19 300 20 280 21 290 22 370 23 170 24 170 25 220 26 300 27 250 28 360 29 280 30 300 31 100 Month of interview Date of Interview. Month. 8110 0 3 1040 4 1960 5 1640 6 1440 7 1450 8 580 Year of interview Date of Interview. Year. 8110 0 2004 8110 Durable goods Primary male respondent ITEMS 8110 0 1 Sewing machines 811 2 Coolers 811 3 Refrigerators 811 4 Radios 811 5 Televisions 811 6 Mobile telephones 811 7 Landline telephones 811 8 Stove (electric) 811 9 Stove (gas) 811 10 Watches/Clocks 811 Code is created from an item list in the questionnaire. How many currently own Primary male respondent How many [ITEMS] do members of your household currently own? 8110 0 Total value Primary male respondent What is the total value of all the [ITEMS] if you were to sell them today? 1607 6503 20 80000 3333.192 5845.365 How many did own in DEC 2003 Primary male respondent How many [ITEMS] did you own in December 2003? 8110 0 0 98 1.185 9.439 How many did own in DEC 2002 Primary male respondent How many [ITEMS] did you own in December 2002? 8110 0 0 98 1.283 10.089 Income module done 3807 0 1 Yes 3807 2 No 0 Household ID Household ID 3807 0 1 9694 897.962 1477.238 1 11 3 6 4 5 5 2 6 2 7 7 8 4 9 2 10 5 11 6 12 4 13 4 14 3 15 5 16 3 17 2 18 8 19 8 20 3 21 4 22 6 23 5 24 1 25 2 26 6 27 3 28 6 29 2 30 7 31 4 32 4 33 5 34 6 35 9 38 7 39 6 41 6 43 6 44 4 46 5 47 2 48 8 49 3 50 2 53 8 55 3 56 4 58 1 60 3 61 3 62 2 64 3 65 4 66 6 67 2 68 7 69 2 70 9 73 4 74 5 75 3 76 4 77 5 78 4 79 2 80 7 82 5 84 4 89 2 93 4 94 4 95 9 97 1 98 3 99 1 102 5 103 4 104 4 106 6 108 8 109 2 110 3 111 5 112 7 113 6 114 5 115 6 117 4 120 5 121 5 123 4 124 3 125 2 128 7 150 10 151 5 152 8 154 12 155 3 156 7 158 9 161 6 162 6 163 2 164 3 165 5 166 6 167 6 168 4 169 2 170 5 171 6 172 6 173 2 174 8 200 7 201 6 202 3 203 7 204 8 205 7 206 3 207 2 208 5 209 4 210 5 211 8 212 7 213 8 216 6 217 4 218 2 219 1 221 5 222 5 223 4 250 5 251 8 252 5 253 6 254 7 255 8 256 2 257 2 258 6 259 2 260 3 261 3 262 9 263 5 264 2 265 3 266 4 267 2 268 2 269 4 273 6 274 2 275 6 276 13 277 6 278 4 279 2 280 6 281 3 282 5 300 3 301 3 302 7 303 5 304 3 305 3 306 6 307 5 309 8 310 4 311 6 312 4 313 3 314 2 315 3 316 4 317 4 318 10 350 4 351 4 352 2 353 8 354 7 355 2 356 3 357 3 358 2 359 9 360 3 361 8 362 3 363 2 364 3 365 5 366 7 368 3 369 8 372 1 400 5 401 4 402 9 403 6 404 3 405 4 406 6 407 3 409 5 410 2 411 1 412 2 415 8 417 6 418 6 419 5 420 4 421 6 422 2 423 6 424 5 425 3 426 8 427 6 428 2 429 3 430 6 431 5 434 6 436 4 438 9 450 3 451 6 452 3 453 2 454 5 455 11 456 10 457 4 458 6 459 10 460 3 461 1 462 2 463 5 464 1 465 3 466 7 467 5 468 8 469 3 470 9 473 5 475 5 476 3 478 8 479 10 480 6 481 5 482 5 483 4 484 6 485 9 486 2 487 6 488 1 489 5 490 5 500 8 501 3 502 2 504 6 505 6 506 3 507 5 508 2 509 3 510 7 511 2 512 4 513 5 514 3 515 2 516 9 518 7 519 7 520 5 521 8 522 4 523 6 524 3 525 7 526 3 527 2 528 4 529 2 530 2 531 5 532 4 533 6 534 7 535 3 537 4 538 6 539 4 540 7 541 4 542 2 543 2 544 4 545 6 546 9 547 1 548 4 549 6 550 4 551 3 552 4 554 6 556 7 557 6 559 2 560 3 562 2 563 5 564 9 565 3 566 6 568 1 580 3 581 4 582 5 585 6 587 6 588 4 589 4 590 3 591 2 593 5 594 3 595 7 597 10 598 5 599 4 600 9 601 5 602 1 603 4 604 2 605 9 606 3 607 4 608 4 609 13 610 3 611 7 612 7 615 5 616 2 617 9 618 7 619 6 620 3 621 6 622 7 623 4 624 8 625 4 626 3 627 5 628 2 630 6 631 2 632 6 633 6 634 4 635 4 637 2 639 6 640 9 652 4 653 6 656 1 658 6 660 8 663 7 665 2 666 1 667 2 670 6 671 4 673 3 674 2 675 6 676 8 677 2 678 4 679 3 680 8 681 6 682 7 683 2 686 3 687 7 688 2 689 2 690 6 691 3 692 9 693 3 694 3 696 4 697 2 698 6 699 9 700 4 701 2 702 8 703 3 706 6 707 6 708 4 709 5 710 3 711 7 712 10 715 5 716 5 717 5 720 2 721 2 722 2 723 3 724 3 725 8 726 3 727 5 728 5 730 5 731 9 732 5 733 7 735 4 736 5 737 2 738 1 739 8 740 10 741 3 742 2 746 7 747 2 748 6 751 4 752 5 755 2 757 7 758 2 764 2 766 6 775 6 776 5 779 9 780 4 781 5 783 4 784 3 786 2 787 2 790 9 791 3 792 4 793 9 794 12 800 3 801 2 802 2 803 1 804 4 805 4 806 5 807 1 808 3 809 8 810 8 811 5 812 3 813 5 814 4 815 4 816 1 817 6 818 2 819 7 820 1 821 2 822 9 823 1 824 3 825 3 826 8 827 7 828 6 829 2 830 6 831 7 832 7 833 4 834 5 835 4 836 1 837 6 838 1 839 6 840 3 841 3 842 2 843 6 844 4 845 2 846 3 847 2 848 5 849 2 850 5 851 3 852 4 853 5 854 6 855 2 856 1 900 4 901 5 902 4 903 8 904 4 905 3 906 7 907 3 908 1 909 1 911 7 912 4 913 5 914 5 915 2 916 2 917 4 918 5 919 2 920 10 921 3 922 4 923 1 924 5 925 2 926 3 927 3 928 6 929 4 930 6 931 4 932 8 933 6 934 7 935 7 936 4 937 1 938 1 939 3 940 3 941 7 942 3 943 8 944 5 945 3 946 5 947 3 948 2 949 5 950 1 951 4 952 2 953 6 954 7 955 6 956 3 957 8 958 2 959 6 960 9 961 6 962 9 963 2 964 8 965 5 966 3 967 6 968 5 969 5 970 6 971 6 972 6 973 5 974 2 975 2 976 4 977 6 978 3 979 8 980 4 982 3 983 1 984 4 985 5 986 3 987 7 988 7 989 8 990 3 991 6 992 2 993 4 994 5 995 4 996 3 997 5 998 4 999 3 1000 9 1001 3 1002 2 1003 3 1004 6 1005 6 1006 1 1007 5 1008 4 1009 11 1010 3 1011 8 1012 5 1013 5 1014 5 1015 8 1016 3 1017 4 1018 3 1019 2 1020 1 1021 6 1022 4 1023 7 1024 2 1025 2 1026 2 1027 3 1028 2 1029 6 1030 1 1031 3 1100 2 1101 2 1102 10 1104 3 1105 11 1106 2 1107 3 1108 3 1109 2 1110 5 1111 1 1113 5 1114 1 1115 7 1116 7 1117 2 1118 3 1119 9 1120 8 1121 5 1122 3 1123 7 1124 6 1125 3 1126 4 1127 3 1129 4 1130 4 1131 4 1132 9 1133 8 1134 1 1136 13 1137 8 1138 2 1139 9 1141 2 1142 5 1143 7 1144 3 1145 8 1146 6 1150 4 1151 9 1152 6 1153 6 1154 5 1155 13 1156 2 1157 5 1158 2 1159 2 1160 3 1161 3 1167 2 1168 1 1169 1 1170 8 1171 6 1173 15 1200 2 1201 3 1202 7 1203 2 1204 3 1205 5 1206 4 1207 4 1208 4 1209 5 1210 3 1211 3 1212 4 1214 3 1215 7 1216 5 1218 2 1219 2 1220 2 1221 3 1223 3 1225 7 1227 5 1228 5 1229 2 1230 3 1231 4 1232 5 1234 7 1235 11 1236 2 1237 4 1239 6 1240 6 1241 2 1242 3 1243 1 1244 2 1245 4 1246 2 1247 7 1248 2 1249 5 1250 4 1251 5 1252 4 1253 3 1254 9 1255 6 1257 1 1259 6 1261 10 1263 4 1264 6 1265 11 1266 2 1269 4 1270 4 1271 2 1272 3 1273 2 1274 7 1275 6 1276 3 1277 7 1278 8 1279 2 1280 5 1281 2 1282 7 1283 4 1284 3 1285 2 8043 9 9012 6 9019 4 9134 6 9166 3 9210 6 9212 7 9216 5 9225 3 9240 3 9255 7 9265 6 9275 4 9280 5 9412 5 9518 7 9608 5 9616 2 9653 8 9667 3 9694 5 Respondent ID Respondent ID 3807 0 1 3111 2 548 3 105 4 24 5 9 6 4 7 6 Day of interview Date of Interview. Day. 3807 0 1 31 16.236 8.729 1 65 2 138 3 114 4 144 5 101 6 140 7 140 8 78 9 137 10 114 11 106 12 117 13 140 14 137 15 94 16 158 17 115 18 90 19 151 20 145 21 127 22 170 23 104 24 95 25 114 26 188 27 115 28 151 29 134 30 133 31 52 Month of interview Date of Interview. Month. 3807 0 3 528 4 958 5 735 6 651 7 699 8 232 9 4 Year of interview Date of Interview. Year. 3807 0 2004 3807 Count of section A 3807 0 Count of section B 3807 0 Count of Section C 3807 0 Count of Section D 3807 0 Count of Section E1 3807 0 Count of Section E2 3807 0 Count of Section F 3807 0 ID code - Members 8 yrs & above Primary male respondent ID Code List the ID codes of all household members 8 years and older. All household members 8 years and older 3796 11 1 819 2 778 3 644 4 507 5 390 6 279 7 166 8 105 9 57 10 24 11 13 12 7 13 5 14 1 15 1 Sysmiss 11 ID code - Income module Primary male respondent ID Code List the ID codes of all household members 8 years and older. All household members 8 years and older 3806 1 1 819 2 774 3 618 4 493 5 378 6 288 7 187 8 115 9 59 10 32 11 20 12 11 13 5 14 3 15 3 16 1 Sysmiss 1 During past 7 day worked for someone who is not a member Primary male respondent During the past 7 days, has [NAME] worked for someone who is not a member of your household, for example, an employer, a firm, the government or some other person outside of your household? If answer is 1 > Go to 4 (in04 - variable name in dataset). All household members 8 years and older 3796 11 1 Yes 460 2 No 3333 8 1 9 2 Sysmiss 11 During past 12 months worked for someone who is not member Primary male respondent During the past 12 months, has [NAME] worked for someone who is not a member of your household, for example, an employer, a firm, the government or some other person outside of your household? All household members 8 years and older 3337 470 1 Yes 180 2 No 3139 8 16 9 2 Sysmiss 470 During past 7 days worked on field belonging to someone Primary male respondent If answer is 1 > Go to 6 (in06 - variable name in dataset). All household members 8 years and older 3796 11 1 Yes 2833 2 No 957 8 1 9 5 Sysmiss 11 During past 12 months worked on field belonging to someone Primary male respondent During the past 12 months, has [NAME] worked in a field or garden belonging to someone in your household, or has [NAME] raised livestock? All household members 8 years and older 963 2844 1 Yes 592 2 No 363 8 6 9 2 Sysmiss 2844 During past 7 days done non-farm work Primary male respondent During the past 7 days, has [NAME] done non-farm work for someone in your household? For example in an independent business/duka, or in some other self-employed activity? If answer is 1 > Go to next person. All household members 8 years and older 3796 11 1 Yes 355 2 No 3436 8 1 9 4 Sysmiss 11 During past 12 months done non-farm work Primary male respondent Go to next person. All household members 8 years and older 3441 366 1 Yes 124 2 No 3297 8 16 9 4 Sysmiss 366 Main reason why did not work during past 7 days Primary male respondent INTERVIEWER: Ask questions 8 and 9 only if answers to questions 2, 4, and 6 are NO. What was the main reason why you did not work during past 7 days? If answer is 1, 4, 5, 6, 7, 8, 9, 10, 11 or 12 > Go to next person. All household members 8 years and older 720 3087 1 Sick 92 2 Handicapped 2 3 Too old/retired 38 4 Do not want more work 1 5 Student 391 6 Housework 31 7 Too young 29 8 On vacation 1 9 Awaiting reply of employer/agency 2 10 About to start new job 2 11 No work exists 33 12 Other reasons 50 98 47 99 1 Sysmiss 3087 What kind of work did you do most of your life Primary male respondent INTERVIEWER: Ask questions 8 and 9 only if answers to questions 2, 4, and 6 are NO. What kind of work did you do most of your life? Go to next person. All household members 8 years and older 4 3803 1 Crop farmer 0 2 Animal farmer 1 3 Housewife 0 4 Trader/merchant/salesperson 0 5 Transport worker 0 6 Construction worker 1 7 Teacher/education professional 0 8 Health professional/TBA/trad. Healer 0 9 Secretary/clerical 0 10 Factory worker 0 11 Restaurant/bar/hotel 0 12 Skilled trades (carpenter, tailor, etc.) 0 13 Preacher/pastor 0 14 Village elder 0 15 Domestic worker 0 16 Civil Servant/Government 0 17 Other (specify) 1 88 No activity/unemployed 1 99 Don’t Know 0 Sysmiss 3803 ID Code for all who worked Primary male respondent I would like to ask you some questions about work that you and/or members of your household did as an employee in the past 7 days (since last _______). ID Code List ID Codes for all who worked as an EMPLOYEE in the past 7 days - YES to Sec. A, Question 2. All household members 8 years and older who worked as an EMPLOYEE in the past 7 days. 460 3347 1 351 2 81 3 24 4 4 Sysmiss 3347 ID Code Primary male respondent I would like to ask you some questions about work that you and/or members of your household did as an employee in the past 7 days (since last _______). ID Code List ID Codes for all who worked as an EMPLOYEE in the past 7 days - YES to Sec. A, Question 2. All household members 8 years and older who worked as an EMPLOYEE in the past 7 days. 460 3347 1 242 2 64 3 75 4 31 5 11 6 10 7 9 8 6 9 5 10 4 11 1 14 1 15 1 Sysmiss 3347 What did do for this work - Description Primary male respondent What did [NAME] do in this work? What kind of trade, industry or business is it connected with? Description. If more than one job of this type, choose the one that they spent the most time on in the past 12 months. All household members 8 years and older who worked as an EMPLOYEE in the past 7 days. 460 0 A ATTENDAN 1 A FARMER 2 A P 1 A/CARE 1 A/POLICE 2 ACC CLERK 1 ACC/CLERK 1 ACCOUNTANT 1 ADM POLICE 1 ADMINISTRA 1 AGRI ADVIS 1 AH OFFICER 1 ATTENDANT 3 BAKERY 1 BAR MAID 1 BRICKS 1 BURSAR 1 C FARMING 2 C/FARMERS 1 C/FARMING 4 CARGO 1 CASUAL 16 CASUAL JOB 3 CASUAL LAB 4 CASUALWORK 24 CATERESS 1 CHAIN SAW 1 CHARCOAL 3 CLEANER 3 CLERGYMAN 1 CLERICAL 2 CLERK 2 CON/WORKER 1 CONSTRUCTI 2 CONSTRUCTO 3 COOK 6 CUT TREES 1 D/BOREHOLE 1 DIG LAND 2 DIGLATRINE 1 DIP ATT 1 DISHWASHER 1 DOME WORK 4 DOMESTIC 2 DRIVER 22 DRIVING 1 EIS 1 ELECTRICAL 1 EMPLOYEE 2 ENGINEER 1 F/LABOUR 2 FARM WORK 4 FARMING 2 FARMLABOUR 3 FARMWORK 1 FEED PIGS 1 FOOTBALLER 1 FOREMAN 1 FRONT DESK 1 GARDENER 1 GRAZING 1 GSU 1 H20 SUPPLY 1 HAIR DRESS 1 HAWKER 1 HERDING 3 HERDSBOY 7 HERDSMAN 5 HOUSE MAID 1 HOUSEHELP 3 HOUSEMAID 2 HOUSEWORK 6 IT 1 KENYA ARMY 1 LAB TECH 1 LABOURER 1 LS OFFICER 1 MAID 1 MANAGER 4 MASON 2 MASONARY 5 MATATU CON 1 MATATU DRI 1 MATRON 1 MECHANIC 1 MESSENGER 1 MILITARY 6 MILKING 1 MILLER 1 MILLITARY 1 MOPPING 1 NURSE 3 NURSE AID 1 OFFICER 5 OPERATOR 3 P TIMBER 1 PASTOR 1 PETROL ATT 1 PHONEDEALE 1 PICK TEA 9 PICKINGTEA 3 PLAITING 1 PLANT TEA 1 PLANTGRASS 1 PLUMBERING 1 POLICE 5 POLICEMAN 6 POSHO MILL 3 PRE WELLS 1 PREACHER 1 PRINTING 1 PUBLICWORK 1 QUARRY 1 RESTAURANT 1 S LOAVES 1 SALE COWS 1 SALESMAN 2 SALOONIST 3 SCH COOK 1 SECRETARY 3 SECURICOR 2 SECURITY 6 SEL CLOTHS 1 SELL MEAT 1 SHAMBA 3 SHAMBA BOY 3 SHAMBABOY 1 SHOPKEEPER 2 SLAUGHTER 1 STOREKEEPE 1 SUPERVISOR 1 SURB STAFF 1 T ASSIST 1 T DRIVER 9 T OPERATOR 1 T/DRIVER 2 TAILOR 1 TEA HARVES 1 TEACHER 40 TEACHING 27 TEAPICKING 2 TECHNICIAN 2 TRADER 2 TRUCK DRIV 1 TURN BOY 1 TUTOR 1 TYPIST 1 VETOFFICER 2 VILL ELDER 1 W/DOMESTIC 1 WAITER 8 WARDEN 1 WASHDISHES 1 WATCHMAN 10 WEED MAIZE 1 WEED TEA 3 WEEDING 25 WELDING 1 WILDLIFE 1 WORKER 1 WORKING 3 What did do for this work Primary male respondent What did [NAME] do in this work? What kind of trade, industry or business is it connected with? Occupation Code. If more than one job of this type, choose the one that they spent the most time on in the past 12 months. All household members 8 years and older who worked as an EMPLOYEE in the past 7 days. 460 3347 1 Crop farmer 36 2 Animal farmer 8 3 Housewife 0 4 Trader/merchant/salesperson 16 5 Transport worker 29 6 Construction worker 24 7 Teacher/education professional 67 8 Health professional/TBA/trad. Healer 3 9 Secretary/clerical 13 10 Factory worker 8 11 Restaurant/bar/hotel 10 12 Skilled trades (carpenter, tailor, etc.) 11 13 Preacher/pastor 3 14 Village elder 1 15 Domestic worker 26 16 Civil Servant/Government 54 17 Other (specify) 151 88 No activity/unemployed 0 99 Don’t Know 0 Sysmiss 3347 How many hours work in past 7 days Primary male respondent How many hours did [NAME] do this work in the past 7 days (since last ___)?[Total no. of hours] Probe for actual hours - including overtime. Do not include travel time, leave, paid sick leave or paid holidays. Make sure the respondent does not include time lost from illness, holidays, or authorized absences. All household members 8 years and older who worked as an EMPLOYEE in the past 7 days. 460 3347 0 99 41.002 21.639 Number of hours usually work at job in a week Primary male respondent Is this the number of hours [NAME] usually work at this job in a week? If answer is 1 > Go to 7 (inb07 - variable name in dataset). All household members 8 years and older who worked as an EMPLOYEE in the past 7 days. 460 3347 1 Yes 382 2 No 75 9 3 Sysmiss 3347 Why did not work the usual number of hours Primary male respondent Why did [NAME] not work the usual number of hours in the past 7 days? All household members 8 years and older who worked as an EMPLOYEE in the past 7 days. 75 3732 1 Own illness 11 2 Illness of family member 3 3 Overtime due to illness of other employee 1 4 Other overtime 2 5 Public or religious holiday 6 6 Vacation 14 7 Funeral/mourning period 2 8 Other (specify) 36 Sysmiss 3732 For how many hours per week usual work Primary male respondent For how many hours per week does [NAME] usually work at this job? [Number of hours] All household members 8 years and older who worked as an EMPLOYEE in the past 7 days. 76 3731 14 99 45.5 16.682 How many weeks during past 12 months did work Primary male respondent All household members 8 years and older who worked as an EMPLOYEE in the past 7 days. 460 3347 0 99 36.189 16.31 For how many years has been doing this work - Years Primary male respondent For how many years has [NAME] been doing this work? Years. If less than 1 year, get months. All household members 8 years and older who worked as an EMPLOYEE in the past 7 days. 460 3347 0 99 11.991 20.497 For how many months has been doing this work - months Primary male respondent For how many years has [NAME] been doing this work? Months. If less than 1 year, get months. All household members 8 years and older who worked as an EMPLOYEE in the past 7 days. 460 3347 0 99 49.667 47.81 What type of employer did work for Primary male respondent What type of employer did [NAME] work for in the past days? That is did he/she work for… All household members 8 years and older who worked as an EMPLOYEE in the past 7 days. 460 3347 1 Govt./parastatal 137 2 Private employer 316 3 Cooperative union 2 4 NGO 2 5 Other (specify) 3 Sysmiss 3347 Is position temporary or permanent Primary male respondent Is [NAME’s] position temporary or permanent? Go to 11 (in11 - variable name in dataset). All household members 8 years and older who worked as an EMPLOYEE in the past 7 days. 460 3347 1 Temporary 285 2 Permanent 175 Sysmiss 3347 Received a salary or payment of any kind for work Primary male respondent In the past month, did [NAME] receive a salary or payment of any kind for this work? If answer is 2 > Go to 15 (in15 - variable name in dataset). All household members 8 years and older who worked as an EMPLOYEE in the past 7 days. 460 3347 1 Yes 455 2 No 5 Sysmiss 3347 Net salary for work in the last month Primary male respondent In the past month, what is [NAME’s] net salary/payment for this work? Exclude housing allowances, but include per diem and the value of all payments in kind. All household members 8 years and older who worked as an EMPLOYEE in the past 7 days. 455 3352 75 80000 4592.756 6272.314 Received any housing connected to the work Primary male respondent Has [NAME] received or will he/she receive any housing (or money for housing) connected with this work? If answer is 2 > Go to 15 (in15 - variable name in dataset). All household members 8 years and older who worked as an EMPLOYEE in the past 7 days. 455 3352 1 Yes 140 2 No 312 9 3 Sysmiss 3352 What was the value of housing allowance last month Primary male respondent In the past month, what is the value of this housing allowance/subsidy? All household members 8 years and older who worked as an EMPLOYEE in the past 7 days. 141 3666 99 12000 2432.078 2584.803 Has worked as an employ at any job in past 7 days Primary male respondent In the past 7 days has [NAME] worked as an employee at any other job? If answer is 2 > Go to next person. All household members 8 years and older who worked as an EMPLOYEE in the past 7 days. 460 3347 1 Yes 13 2 No 445 9 2 Sysmiss 3347 Kind of trade/industry/business the work connected with Primary male respondent What kind of trade, industry or business is this work connected with? All household members 8 years and older who worked as an EMPLOYEE in the past 7 days. 13 3794 1 Crop farmer 3 2 Animal farmer 0 3 Housewife 0 4 Trader/merchant/salesperson 1 5 Transport worker 1 6 Construction worker 3 7 Teacher/education professional 0 8 Health professional/TBA/trad. Healer 0 9 Secretary/clerical 0 10 Factory worker 0 11 Restaurant/bar/hotel 0 12 Skilled trades (carpenter, tailor, etc.) 0 13 Preacher/pastor 0 14 Village elder 0 15 Domestic worker 1 16 Civil Servant/Government 0 17 Other (specify) 4 88 No activity/unemployed 0 99 Don’t Know 0 Sysmiss 3794 How many hours worked in past 7 days Primary male respondent In the past 7 days how many hours did [NAME] do this work? Total no. of hours. Probe for actual hours-including overtime. Do not include travel time, leave, paid sick leave or paid holidays. All household members 8 years and older who worked as an EMPLOYEE in the past 7 days. 13 3794 3 99 26.538 27.22 How many weeks worked during the past 12 months Primary male respondent For how many weeks during the past 12 months (since ___) did [NAME] do this work? Number of weeks. All household members 8 years and older who worked as an EMPLOYEE in the past 7 days. 13 3794 1 52 26.462 19.177 Net salary/payment for the work in last month Primary male respondent In the past month, what is [NAME’s] net salary/payment for this work? Include per diem, allowances, and the value of all payments in kind. All household members 8 years and older who worked as an EMPLOYEE in the past 7 days. 13 3794 0 15000 1907.692 4011.122 ID code of all who worked in field Primary male respondent ID Code List ID Codes for all who worked on a field/garden of someone in the household or raised livestock in the past 7 days -YES to Sec. A, Question 4. All household members 8 years and older who worked on a field/garden of someone in the household or raised livestock in the past 7 days. 2835 972 1 740 2 659 3 485 4 355 5 245 6 164 7 94 8 49 9 27 10 8 11 5 12 3 13 1 Sysmiss 972 ID code Primary male respondent ID Code List ID Codes for all who worked on a field/garden of someone in the household or raised livestock in the past 7 days -YES to Sec. A, Question 4. All household members 8 years and older who worked on a field/garden of someone in the household or raised livestock in the past 7 days. 2835 972 1 608 2 622 3 441 4 363 5 264 6 215 7 140 8 83 9 46 10 22 11 14 12 8 13 3 14 2 15 3 16 1 Sysmiss 972 Past 7 days worked on hhold shamba Primary male respondent In the past 7 days (since last ____) has [NAME] worked on any of your household’s shambas/gardens (e.g., ploughing, planting, weeding, harvesting) or prepared crops for sale or home consumption (e.g., drying maize)? If answer is 2 > Go to 7 (se07 - variable name in dataset). All household members 8 years and older who worked on a field/garden of someone in the household or raised livestock in the past 7 days. 2835 972 1 Yes 2545 2 No 290 Sysmiss 972 How much time spend on working in past 7 days Primary male respondent All household members 8 years and older who worked on a field/garden of someone in the household or raised livestock in the past 7 days. 2545 1262 0 99 14.446 12.301 How much time spend on preparing in past 7 days Primary male respondent In the past 7 days, how much time did [NAME] spend preparing or processing crops (e.g., drying maize, milling, or brewing) for sale or home consumption? Probe for time spent on brewing Total hours for a week. All household members 8 years and older who worked on a field/garden of someone in the household or raised livestock in the past 7 days. 2545 1262 0 99 2.069 10.874 Main crops that devoted time - A in past 7 days Primary male respondent On these shambas/gardens belonging to your household, which were the four MAIN crops that [NAME] devoted his/her time to in the past 7 days? * List up to 4 crops. All household members 8 years and older who worked on a field/garden of someone in the household or raised livestock in the past 7 days. 2545 1262 1 Maize 2158 2 Wheat 2 3 Millet or sorghum 12 4 Rice 0 5 Beans, peas, cowpeas, other pulses 138 6 Cabbage 34 7 Sukuma wiki 84 8 Spinach 3 9 Yams or Sweet potatoes 13 10 Irish potatoes 18 11 Cassava 1 12 Groundnuts 0 13 Sunflower seeds 0 14 Tomatoes 0 15 Onions, leeks 6 16 Eggplant 0 17 Carrots 0 18 Capsicums/Green Peppers 0 19 Chillies 0 20 Coffee 0 21 Tea 25 22 Tobacco 0 23 Cotton 0 24 Lumber, wood 0 25 Oil palm/palm oil 0 26 Honey or Sugarcane 0 27 Avocado 0 28 Bananas 3 29 Mangoes 0 30 Oranges/Citrus fruits 0 31 Pineapple 0 32 Sugarcane 0 33 Other fruits (specify) 0 34 Other vegetables (specify) 42 98 6 Sysmiss 1262 Main crops that devoted time - B in past 7 days Primary male respondent On these shambas/gardens belonging to your household, which were the four MAIN crops that [NAME] devoted his/her time to in the past 7 days? * List up to 4 crops. All household members 8 years and older who worked on a field/garden of someone in the household or raised livestock in the past 7 days. 2009 1798 1 Maize 49 2 Wheat 3 3 Millet or sorghum 23 4 Rice 0 5 Beans, peas, cowpeas, other pulses 1609 6 Cabbage 22 7 Sukuma wiki 118 8 Spinach 7 9 Yams or Sweet potatoes 8 10 Irish potatoes 35 11 Cassava 1 12 Groundnuts 0 13 Sunflower seeds 0 14 Tomatoes 4 15 Onions, leeks 12 16 Eggplant 0 17 Carrots 0 18 Capsicums/Green Peppers 0 19 Chillies 1 20 Coffee 0 21 Tea 27 22 Tobacco 0 23 Cotton 0 24 Lumber, wood 0 25 Oil palm/palm oil 0 26 Honey or Sugarcane 1 27 Avocado 0 28 Bananas 10 29 Mangoes 0 30 Oranges/Citrus fruits 0 31 Pineapple 0 32 Sugarcane 0 33 Other fruits (specify) 0 34 Other vegetables (specify) 79 Sysmiss 1798 Main crops that devoted time - C in past 7 days Primary male respondent On these shambas/gardens belonging to your household, which were the four MAIN crops that [NAME] devoted his/her time to in the past 7 days? * List up to 4 crops. All household members 8 years and older who worked on a field/garden of someone in the household or raised livestock in the past 7 days. 625 3182 1 Maize 4 2 Wheat 1 3 Millet or sorghum 32 4 Rice 0 5 Beans, peas, cowpeas, other pulses 33 6 Cabbage 43 7 Sukuma wiki 200 8 Spinach 5 9 Yams or Sweet potatoes 16 10 Irish potatoes 56 11 Cassava 4 12 Groundnuts 0 13 Sunflower seeds 0 14 Tomatoes 4 15 Onions, leeks 17 16 Eggplant 0 17 Carrots 4 18 Capsicums/Green Peppers 0 19 Chillies 0 20 Coffee 0 21 Tea 21 22 Tobacco 2 23 Cotton 0 24 Lumber, wood 0 25 Oil palm/palm oil 0 26 Honey or Sugarcane 4 27 Avocado 0 28 Bananas 17 29 Mangoes 0 30 Oranges/Citrus fruits 0 31 Pineapple 3 32 Sugarcane 9 33 Other fruits (specify) 1 34 Other vegetables (specify) 149 Sysmiss 3182 Main crops that devoted time - D in past 7 days Primary male respondent On these shambas/gardens belonging to your household, which were the four MAIN crops that [NAME] devoted his/her time to in the past 7 days? * List up to 4 crops. All household members 8 years and older who worked on a field/garden of someone in the household or raised livestock in the past 7 days. 201 3606 1 Maize 0 2 Wheat 0 3 Millet or sorghum 1 4 Rice 0 5 Beans, peas, cowpeas, other pulses 15 6 Cabbage 9 7 Sukuma wiki 29 8 Spinach 2 9 Yams or Sweet potatoes 2 10 Irish potatoes 9 11 Cassava 0 12 Groundnuts 0 13 Sunflower seeds 0 14 Tomatoes 2 15 Onions, leeks 10 16 Eggplant 0 17 Carrots 0 18 Capsicums/Green Peppers 0 19 Chillies 0 20 Coffee 0 21 Tea 1 22 Tobacco 0 23 Cotton 0 24 Lumber, wood 0 25 Oil palm/palm oil 0 26 Honey or Sugarcane 2 27 Avocado 0 28 Bananas 25 29 Mangoes 0 30 Oranges/Citrus fruits 0 31 Pineapple 2 32 Sugarcane 4 33 Other fruits (specify) 0 34 Other vegetables (specify) 88 Sysmiss 3606 How much earn in from the sales in past 1 month Primary male respondent In the past one month, how much income did [NAME] earn from the sale of these crops? Amount in KSh. Probe for income from brewing. All household members 8 years and older who worked on a field/garden of someone in the household or raised livestock in the past 7 days. 2545 1262 0 275000 248.136 5561.421 Spent any time caring for animals in past 7 days Primary male respondent In the past 7 days, has [NAME] spent any time caring for animals belonging to your household? If answer is 2 > Go to next person. All household members 8 years and older who worked on a field/garden of someone in the household or raised livestock in the past 7 days. 2835 972 1 Yes 2220 2 No 615 Sysmiss 972 How many hours spend caring for animals in past 7 days Primary male respondent In the past 7 days, how many hours did [NAME] spend feeding, caring for, tending and transporting any animals belonging to your household? Total hours for a week. All household members 8 years and older who worked on a field/garden of someone in the household or raised livestock in the past 7 days. 2220 1587 0 99 11.06 11.584 How many hours spend collecting products of aniumals in past Primary male respondent In the past 7 days, how many hours did [NAME] spend collecting or transforming the products of your household’s animals (e.g. milk, eggs, honey) for sale or home consumption? Total hrs for the week. Note this includes time spent milking. All household members 8 years and older who worked on a field/garden of someone in the household or raised livestock in the past 7 days. 2220 1587 0 99 1.891 6.607 How much net income did receive in past 1 month Primary male respondent In the past one month, how much net income did [NAME] receive from the sale of products from these animals (e.g., milk, honey, eggs)? Amount in KSh. All household members 8 years and older who worked on a field/garden of someone in the household or raised livestock in the past 7 days. 2220 1587 0 35280 269.492 1256.657 ID Code of non-farm Primary male respondent I would like to ask you some questions about the work your household members did in the past 7 days (since last…) in their own business or in your household's business. ID Code List ID Codes for all who did non-farm work in a business belonging to the household in the past 7 days - YES to Sec. A, Question 6. All household members 8 years and older who did non-farm work in a business belonging to the household in the past 7 days. 352 3455 1 279 2 59 3 11 4 3 Sysmiss 3455 ID Code Primary male respondent I would like to ask you some questions about the work your household members did in the past 7 days (since last…) in their own business or in your household's business. ID Code List ID Codes for all who did non-farm work in a business belonging to the household in the past 7 days - YES to Sec. A, Question 6. All household members 8 years and older who did non-farm work in a business belonging to the household in the past 7 days. 352 3455 1 166 2 114 3 26 4 19 5 12 6 8 7 4 11 2 14 1 Sysmiss 3455 What type of business - Description Primary male respondent What type of business or self-employment did [NAME] work at in the past 7 days? What kind of trade, industry or business is it connected with? Description. If more than 1, begin with the one in which the most time is spent. All household members 8 years and older who did non-farm work in a business belonging to the household in the past 7 days. 352 0 98 1 A TRADER 2 AGRO-CHEM 1 B&S CATTLE 2 B&S CLOTHS 1 B&S COAL 1 B&S COWS 1 B&S MAIZE 1 B&S MILK 2 B&S SHOES 1 B&S VEGES 1 B/S BEANS 2 B/S CARS 1 B/S CATTLE 2 B/S COWS 1 B/S MAIZE 3 B/S MILK 1 B/S OIL 1 B/S ORANGE 1 B/S SHEEP 1 B/S VEG 1 B/S VEGES 4 BAKER 1 BAR 1 BARBER 1 BARBERSHOP 1 BAT CHARGE 1 BICYCLES 1 BODA BODA 2 BODABODA 2 BOOKSHOP 1 BOUTIQUE 2 BREW 1 BREWING 24 BRICK BUSS 1 BRICK MAKE 1 BUTCHER 1 BUTCHERY 4 C/DEALER 1 CAPENTER 1 CARPENTER 1 CARPENTRY 3 CATTLE 1 CHANGAA 1 CHARCOAL 8 CHARCOAL B 1 CHEMIST 1 CHICKEN 4 COL MILK 1 D/TIMBER 1 DAIRYKIOSK 1 DEALER 1 DISTRIBUTO 1 DRESS MAKE 1 DUKA 3 EGG VENDOR 1 ELECTRICIA 2 GROCERY 3 GROUNDSMAN 1 H CLINIC 1 HARDWARE 3 HOTEL 4 KINYOZI 1 KIOSK 31 LANDLORD 1 LIVESTOCK 2 LUMBERING 2 M/DRIVER 1 M/SELLER 2 M/VENDOR 1 MAIZE 1 MAIZE TRAD 1 MATATU 2 MECHANIC 1 MILK 2 MILK TRADE 3 MILK VENDE 1 MILKSUPPLY 1 MILKVENDER 1 MILKVENDOR 3 MILLER 1 MITUMBA 3 P STATION 1 P&S TIMBER 1 PHOTOGRAPH 2 PLAITING 1 PLOUGHING 5 POSHO MILL 5 POSHOMILL 2 POSHOMILLS 1 RENT HOUSE 3 RENTAL HSE 2 RETAIL 3 ROASTMAIZE 1 RUNS HOTEL 2 RUNS KIOSK 1 S ALCOHOL 2 S LIVESTOC 1 S MANDAZI 1 S PORRIDGE 1 S SAMOSAS 1 S TIMBER 1 S/KEROSENE 1 SALE JEMBE 1 SALESMAN 2 SALONIST 1 SAMOSA 1 SEL BUSAA 1 SELL CLOTH 3 SELL EGGS 1 SELL FOOD 2 SELL FRUIT 1 SELL GRAIN 1 SELL MAIZE 5 SELL MATS 1 SELL MILK 2 SELL OIL 1 SELL ROPES 1 SELL SAMSA 1 SELL SEEDS 1 SELL SHOES 1 SELL SNACK 1 SELL SODAS 1 SELL VEG 3 SELL VEGES 5 SELLCLOTHS 1 SELLER 1 SELLS BREW 1 SELLS MILK 2 SHEEP TRAD 1 SHOE MAKER 1 SHOE REPAI 1 SHOESHINER 1 SHOP 6 SHOPKEEPER 14 TAILOR 8 TAILORING 1 TAXI DRIVE 1 TEA LEAVES 1 TEA SALE 1 TIMBER 3 TIMBER TRA 1 TRADE 1 TRADER 9 TRADING 1 TRANSPORT 1 UTENSILS 1 V/SELLER 1 VEG SELLER 8 VEG TRADER 1 VEG VENDER 16 VEG VENDOR 4 VENDER 1 VENDOR 2 VIL ELDER 1 W REPAIR 1 What type of business - Code Primary male respondent What type of business or self-employment did [NAME] work at in the past 7 days? What kind of trade, industry or business is it connected with? Occupation Code. If more than 1, begin with the one in which the most time is spent. All household members 8 years and older who did non-farm work in a business belonging to the household in the past 7 days. 352 3455 1 Crop farmer 0 2 Animal farmer 0 3 Housewife 0 4 Trader/merchant/salesperson 275 5 Transport worker 10 6 Construction worker 0 7 Teacher/education professional 0 8 Health professional/TBA/trad. Healer 1 9 Secretary/clerical 0 10 Factory worker 0 11 Restaurant/bar/hotel 12 12 Skilled trades (carpenter, tailor, etc.) 27 13 Preacher/pastor 0 14 Village elder 1 15 Domestic worker 0 16 Civil Servant/Government 0 17 Other (specify) 26 88 No activity/unemployed 0 99 Don’t Know 0 Sysmiss 3455 How many hours worked in past 7 days Primary male respondent In the past 7 days, how many hours did [NAME] work at this business? Total hrs for the week. All household members 8 years and older who did non-farm work in a business belonging to the household in the past 7 days. 352 3455 1 99 27.563 18.572 Number of hours usually work Primary male respondent Is this the number of hours [NAME] usually works at this business in a week? If answer is 1 > Go to 6 (seb06 - variable name in dataset). All household members 8 years and older who did non-farm work in a business belonging to the household in the past 7 days. 352 3455 1 Yes 294 2 No 57 9 1 Sysmiss 3455 For how many hours per week usually work Primary male respondent For how many hours per week does [NAME] usually work at this business? Total hrs for a week. All household members 8 years and older who did non-farm work in a business belonging to the household in the past 7 days. 58 3749 0 99 45.293 22.236 How many weeks during 12 months did work Primary male respondent For how many weeks during the past 12 months did [NAME] do this work? Number of weeks. All household members 8 years and older who did non-farm work in a business belonging to the household in the past 7 days. 352 3455 1 98 39.298 17.093 How much net income did receive in past month Primary male respondent In the past month, how much net income did [NAME] receive from this business? Amount in KSh. All household members 8 years and older who did non-farm work in a business belonging to the household in the past 7 days. 352 3455 0 60000 3706.864 6466.104 Worked in any other business in past 7 days Primary male respondent In the past 7 days has [NAME] worked in any other business of your household? If answer is 2 > Go to next person. All household members 8 years and older who did non-farm work in a business belonging to the household in the past 7 days. 352 3455 1 Yes 23 2 No 328 8 1 Sysmiss 3455 What kind of trade, industry, occupation is it connected with Primary male respondent What kind of trade, industry or occupation is it connected with? All household members 8 years and older who did non-farm work in a business belonging to the household in the past 7 days. 23 3784 1 Crop farmer 0 2 Animal farmer 0 3 Housewife 0 4 Trader/merchant/salesperson 15 5 Transport worker 0 6 Construction worker 1 7 Teacher/education professional 0 8 Health professional/TBA/trad. Healer 0 9 Secretary/clerical 0 10 Factory worker 0 11 Restaurant/bar/hotel 2 12 Skilled trades (carpenter, tailor, etc.) 0 13 Preacher/pastor 0 14 Village elder 0 15 Domestic worker 0 16 Civil Servant/Government 0 17 Other (specify) 5 88 No activity/unemployed 0 99 Don’t Know 0 Sysmiss 3784 In past 7 days how many hours did work Primary male respondent In the past 7 days how many hours did [NAME] do this work? All household members 8 years and older who did non-farm work in a business belonging to the household in the past 7 days. 23 3784 0 80 20.913 19.817 For how many weeks during past 12 months did this work Primary male respondent For how many weeks during the past 12 months did [NAME] do this work? All household members 8 years and older who did non-farm work in a business belonging to the household in the past 7 days. 23 3784 1 52 34.652 18.534 ID code members 8 yrs & above Primary male respondent ID Code List the ID codes of all household members 8 years and older. Complete Sections E1 and E2 together by following all skip codes, including those to Section E2. You should complete the entire section for one person before moving on to the next person. All household members 8 years and older. 3795 12 1 819 2 778 3 642 4 507 5 390 6 279 7 168 8 105 9 56 10 24 11 13 12 7 13 5 14 1 15 1 Sysmiss 12 ID code Primary male respondent ID Code List the ID codes of all household members 8 years and older. Complete Sections E1 and E2 together by following all skip codes, including those to Section E2. You should complete the entire section for one person before moving on to the next person. All household members 8 years and older. 3795 12 1 819 2 772 3 613 4 491 5 378 6 287 7 187 8 115 9 58 10 32 11 20 12 11 13 5 14 3 15 3 16 1 Sysmiss 12 What did in main job in past 12 months - Description Primary male respondent What did [NAME] do in his/her main job or activity in the past 12 months? What did [NAME] do in this work? What kind of occupation or trade is it connected with? Description. All household members 8 years and older. 3786 0 99 1 A FARMER 41 A FARMING 47 A KEEPING 3 A P 1 A TRADER 3 A/ATTENDAN 1 A/CARE 1 A/FARM 14 A/FARMER 14 A/FARMING 12 A/POLICE 2 ACC CLERK 1 ACC/CLERK 1 ACCOUNTANT 1 ADMINISTRA 1 AGRI ADVIS 1 AGRO-CHEM 1 AH OFFICER 1 ANIMAL 1 ATHLETEE 1 ATTENDANT 3 B&S CATTLE 1 B&S FISH 1 B&S MILK 1 B&S SHOES 1 B/S CATTLE 2 B/S GOODS 1 B/S MAIZE 1 B/S MILK 1 B/S OIL 1 B/S SHEEP 1 B/S VEGES 2 BAKERY 1 BAR MAID 1 BARBER 2 BICYCLES 1 BODA BODA 2 BODABODA 5 BOOKSHOP 1 BOUTIQUE 2 BREWING 16 BRICK BUSS 1 BUILDER 1 BURSAR 1 BUSINESS 12 BUTCHER 1 BUTCHERY 2 C FARMER 103 C FARMING 226 C HOUSES 1 C/DEALER 1 C/FARM 27 C/FARMER 79 C/FARMING 94 C/WEEDING 1 CAPENTER 2 CARPENTER 2 CARPENTRY 2 CASUAL 18 CASUAL JOB 3 CASUAL LAB 2 CASUALWORK 26 CATERESS 1 CATTLE 1 CHANGAA 2 CHARCOAL 8 CHARCOAL B 1 CHARCOAL/B 1 CHEF 1 CHEMIST 1 CHICKEN 3 CHIEF 1 CHILD CARE 1 CHOPPING 1 CLEANER 3 CLERGYMAN 1 CLERICAL 2 CLERK 3 CLOTHES 1 CON/WORKER 1 CONDUCTOR 1 CONSTRUCT 1 CONSTRUCTI 3 CONSTRUCTO 1 COOK 7 COW TRADER 1 CROP FARM 20 CUT TREES 1 D/BOREHOLE 1 D/WORKER 2 DIGGING 1 DISHWASHER 1 DISTRIBUTO 1 DOME WORK 8 DOMESTIC 7 DRIVER 22 DRIVING 2 DUKA 1 EGG VENDER 1 EIS 1 ELECTRICAL 1 ELECTRICIA 2 EMPLOYEE 3 ENGINEER 2 F/LABOUR 1 FARM WORK 7 FARMER 29 FARMING 208 FARMLABOUR 2 FEED PIGS 1 FOOTBALLER 1 FOREMAN 1 FRONT DESK 1 GOVERNMENT 1 GROUNDSMAN 1 GSU 1 H2O SUPPLY 1 HAIR DRESS 1 HARDWARE 2 HAWKER 1 HEADMAN 1 HERBALIST 1 HERDING 2 HERDSBOY 9 HERDSMAN 6 HERDSWOMAN 1 HOTEL 3 HOTELWORK 1 HOUSE MAID 1 HOUSEGIRL 2 HOUSEHELP 12 HOUSEHOLD 3 HOUSEMAID 2 HOUSEWIFE 159 HOUSEWORK 298 IT 1 JOBSEEKING 1 KEEPANIMAL 1 KENYA ARMY 1 KINYOZI 1 KIOSK 20 LABOURER 2 LS OFFICER 1 LUMBERING 3 M FARMER 3 M/DRIVER 1 M/FARMER 1 M/SELLER 1 M/VENDOR 1 MAID 2 MANAGER 4 MANDAZI 1 MASON 2 MASONARY 6 MATATU 2 MATATU CON 1 MATATU DRI 1 MATRON 1 MECHANIC 2 MESSANGER 1 MESSENGER 1 MILITARY 6 MILK 1 MILK TRADE 2 MILK VENDE 1 MILKVENDER 1 MILKVENDOR 1 MILLER 1 MILLING 1 MILLITARY 1 MITUMBA 4 NO ACT 48 NO JOB 3 NO WORK 1 NOACTIVITY 3 NURSE 3 NURSE AID 1 OFFICER 5 OPERATOR 3 P TIMBER 1 PASTOR 1 PASTORESS 1 PHOTOGRAPH 1 PICK TEA 10 PICKINGTEA 5 PLAITING 1 PLANTGRASS 1 POLICE 7 POLICEMAN 6 POSHO MILL 6 POSHOMILL 2 POST OFFIC 1 PRE WELLS 1 PREACHER 2 PRINTING 1 PUBLICWORK 1 QUARRY 1 R/VENDOR 1 RENT HOUSE 2 RENTAL HSE 1 RENTALS 1 RETRENCHED 1 ROASTMAIZE 1 RUNS HOTEL 1 RUNS KIOSK 2 S ALCOHOL 1 S LIVESTOC 1 S LOAVES 1 S SAMOSAS 1 S TIMBER 1 S/VEGES 1 SALE COWS 1 SALESMAN 5 SALONIST 1 SALOON 1 SALOONIST 6 SCH COOK 1 SCHOOL 181 SCHOOLING 269 SECRETARY 5 SECURICOR 2 SECURITY 6 SEL CLOTHS 1 SEL MOLASE 1 SELL CLOTH 2 SELL DRUGS 1 SELL FISH 1 SELL FRUIT 1 SELL GRAIN 1 SELL MAIZE 4 SELL MATS 1 SELL MEAT 1 SELL MILK 2 SELL OIL 1 SELL SHOES 1 SELL SODAS 1 SELL VEG 1 SELL VEGES 2 SELL VEGS 1 SELLER 1 SHAMBA 1 SHAMBA BOY 4 SHAMBABOY 1 SHOE REPAI 1 SHOESHINER 1 SHOPKEEPER 16 SLAUGHTER 1 SPORTSMAN 2 STOREKEEPE 1 STUDENT 1174 SUPERVISOR 1 SURB STAFF 1 T ASSIST 1 T DRIVER 8 T OPERATOR 1 T/ATHLETE 1 T/DRIVER 2 TAILOR 6 TAILORING 3 TAXI DRIVE 1 TEA HARVES 1 TEA LEAVES 1 TEACHER 34 TEACHING 39 TEAPICKING 2 TECHNICIAN 2 TIMBER 1 TIMBER BUS 1 TOUT 1 TRACTOR 1 TRADER 5 TRADING 2 TRANSPORT 1 TRUCK DRIV 1 TURN BOY 1 TUTOR 2 TYPIST 1 UNEMPLOYED 3 UTENSILS 1 VEG FARMER 2 VEG SELLER 3 VEG VENDER 11 VEG VENDOR 2 VETOFFICER 2 VIDEO SHOW 1 VIL ELDER 1 WAITER 7 WARDEN 1 WASHDISHES 1 WATCHMAN 8 WEED MAIZE 1 WEED TEA 1 WEEDING 14 WELDING 1 WILDLIFE 1 WORKER 1 WORKING 1 What did in main job in past 12 months - Code Primary male respondent What did [NAME] do in his/her main job or activity in the past 12 months? What did [NAME] do in this work? What kind of occupation or trade is it connected with? Occupation code. If answer is 88 > Go to next person. All household members 8 years and older. 3795 12 1 Crop farmer 808 2 Animal farmer 151 3 Housewife 454 4 Trader/merchant/salesperson 198 5 Transport worker 44 6 Construction worker 25 7 Teacher/education professional 70 8 Health professional/TBA/trad. healer 5 9 Secretary/clerical 16 10 Factory worker 10 11 Restaurant/bar/hotel 16 12 Skilled trades (carpenter, tailor, etc.) 40 13 Preacher/pastor 5 14 Village elder 1 15 Domestic worker 35 16 Civil Servant/Government 58 17 Other (specify) 157 88 Student 1700 98 2 99 Don’t Know 0 Sysmiss 12 Job different from past 7 days Primary male respondent Is this one of the jobs or activities cited for [NAME] in the past 7 days? If answer is 2 > Go to 5 (mj05 - variable name in dataset). All household members 8 years and older. 1637 2170 1 Yes, already described 1412 2 No,different work 222 8 3 Sysmiss 2170 Have any other work in past 12 months Primary male respondent Did [NAME] have any other work or any other jobs in the past 12 months? Go to section E2 (sj01a - variable name in dataset). If answer is 2 > Go to next person.]]> All household members 8 years and older. 1412 2395 1 Yes 1254 2 No 150 8 8 Sysmiss 2395 In past 12 months how many weeks did work Primary male respondent In the past 12 months, for how many weeks did [NAME] do this work? Number of weeks. All household members 8 years and older. 223 3584 4 98 29.413 15.121 For how many hours per week usually work Primary male respondent For how many hours per week did [NAME] usually work at this job? Number of hours. All household members 8 years and older. 223 3584 3 99 33.552 21.101 For how many years have done this work -Years Primary male respondent For how many years has [NAME] done this work? [Number of years] Years. If less than one year, enter number of months. All household members 8 years and older. 223 3584 0 98 13.65 21.41 For how many years have done this work -Months Primary male respondent For how many years has [NAME] done this work? [Number of years] Months. If less than one year, enter number of months. All household members 8 years and older. 223 3584 0 99 65.928 45.197 Was work self-employed in a farm Primary male respondent In this work, was [NAME] selfemployed on a farm or in a business belonging to your household or was [NAME] working for someone else? Go to 16 (mj16 - variable name in dataset). If answer is 2 > Go to 22 (mj22 - variable name in dataset).]]> All household members 8 years and older. 223 3584 1 Yes 83 2 No 52 3 86 8 2 Sysmiss 3584 What type of employer did work for in the past days Primary male respondent All household members 8 years and older. 88 3719 1 Govt./parastatal 21 2 Private employer 60 3 Cooperative union 1 4 NGO 1 5 Other (specify) 3 8 2 Sysmiss 3719 Is position temporary or permanent Primary male respondent Is [NAME’s] position temporary or permanent? All household members 8 years and older. 88 3719 1 Temporary 65 2 Permanent 21 8 2 Sysmiss 3719 Did receive a salary or payment of any kind Primary male respondent Did [NAME] receive a salary or payment of any kind for this work? If answer is 2 > Go to 13 (mj13 - variable name in dataset). All household members 8 years and older. 89 3718 1 Yes 83 2 No 4 8 2 Sysmiss 3718 How much was net salary in past 12 months Primary male respondent In the past 12 months, how much was [NAME’s] net salary/payment for this work? Exclude housing allowances, but include the value of all other payments in cash or kind. All household members 8 years and older. 83 3724 99 300000 20653.096 40862.148 Has received any housing connected with work Primary male respondent Has [NAME] received or will he/she receive any housing connected with this work? If answer is 2 > Go to 15 (mj15 - variable name in dataset). All household members 8 years and older. 89 3718 1 Yes 16 2 No 71 8 2 Sysmiss 3718 What was the value of the housing Primary male respondent What was the value of this housing allowance/subsidy? All household members 8 years and older. 16 3791 99 60000 18530.438 19064.703 Has had any other work in the past 12 months Primary male respondent Has [NAME] had any other work in the past 12 months? Go to section E2 (sj01a - variable name in dataset). If answer is 2 > Go to next person.]]> All household members 8 years and older. 89 3718 1 Yes 60 2 No 27 8 2 Sysmiss 3718 In past 12 months has worked on any shambas Primary male respondent In the past 12 months, has [NAME] worked on any shambas/garde ns belonging to your household? If answer is 2 > Go to 19 (mj19 - variable name in dataset). All household members 8 years and older. 82 3725 1 Yes 77 2 No 5 Sysmiss 3725 On the shambas which were four main crops - A Primary male respondent * List up to 4 crops. All household members 8 years and older. 76 3731 1 Maize 73 2 Wheat 0 3 Millet or sorghum 0 4 Rice 0 5 Beans, peas, cowpeas, other pulses 1 6 Cabbage 1 7 Sukuma wiki 0 8 Spinach 0 9 Yams or Sweet potatoes 0 10 Irish potatoes 0 11 Cassava 0 12 Groundnuts 0 13 Sunflower seeds 0 14 Tomatoes 0 15 Onions, leeks 0 16 Eggplant 0 17 Carrots 0 18 Capsicums/Green Peppers 0 19 Chillies 0 20 Coffee 0 21 Tea 1 22 Tobacco 0 23 Cotton 0 24 Lumber, wood 0 25 Oil palm/palm oil 0 26 Honey or Sugarcane 0 27 Avocado 0 28 Bananas 0 29 Mangoes 0 30 Oranges/Citrus fruits 0 31 Pineapple 0 32 Sugarcane 0 33 Other fruits (specify) 0 34 Other vegetables (specify) 0 Sysmiss 3731 On the shambas which were four main crops - B Primary male respondent On these shambas/gardens belonging to your household, which were the four MAIN crops that [NAME] devoted his/her time to in the past 12 months? * List up to 4 crops. All household members 8 years and older. 66 3741 1 Maize 1 2 Wheat 0 3 Millet or sorghum 0 4 Rice 0 5 Beans, peas, cowpeas, other pulses 61 6 Cabbage 0 7 Sukuma wiki 2 8 Spinach 0 9 Yams or Sweet potatoes 0 10 Irish potatoes 0 11 Cassava 0 12 Groundnuts 0 13 Sunflower seeds 0 14 Tomatoes 0 15 Onions, leeks 0 16 Eggplant 0 17 Carrots 0 18 Capsicums/Green Peppers 0 19 Chillies 0 20 Coffee 0 21 Tea 0 22 Tobacco 0 23 Cotton 0 24 Lumber, wood 0 25 Oil palm/palm oil 0 26 Honey or Sugarcane 0 27 Avocado 0 28 Bananas 2 29 Mangoes 0 30 Oranges/Citrus fruits 0 31 Pineapple 0 32 Sugarcane 0 33 Other fruits (specify) 0 34 Other vegetables (specify) 0 Sysmiss 3741 On the shambas which were four main crops - C Primary male respondent * List up to 4 crops. All household members 8 years and older. 34 3773 1 Maize 1 2 Wheat 0 3 Millet or sorghum 3 4 Rice 0 5 Beans, peas, cowpeas, other pulses 0 6 Cabbage 2 7 Sukuma wiki 10 8 Spinach 0 9 Yams or Sweet potatoes 2 10 Irish potatoes 3 11 Cassava 0 12 Groundnuts 0 13 Sunflower seeds 0 14 Tomatoes 0 15 Onions, leeks 1 16 Eggplant 0 17 Carrots 0 18 Capsicums/Green Peppers 0 19 Chillies 0 20 Coffee 0 21 Tea 4 22 Tobacco 0 23 Cotton 0 24 Lumber, wood 0 25 Oil palm/palm oil 0 26 Honey or Sugarcane 0 27 Avocado 0 28 Bananas 1 29 Mangoes 0 30 Oranges/Citrus fruits 0 31 Pineapple 0 32 Sugarcane 0 33 Other fruits (specify) 0 34 Other vegetables (specify) 7 Sysmiss 3773 On the shambas which were four main crops - D Primary male respondent On these shambas/gardens belonging to your household, which were the four MAIN crops that [NAME] devoted his/her time to in the past 12 months? * List up to 4 crops. All household members 8 years and older. 12 3795 1 Maize 0 2 Wheat 0 3 Millet or sorghum 0 4 Rice 0 5 Beans, peas, cowpeas, other pulses 1 6 Cabbage 0 7 Sukuma wiki 4 8 Spinach 0 9 Yams or Sweet potatoes 1 10 Irish potatoes 0 11 Cassava 0 12 Groundnuts 0 13 Sunflower seeds 0 14 Tomatoes 0 15 Onions, leeks 2 16 Eggplant 0 17 Carrots 0 18 Capsicums/Green Peppers 0 19 Chillies 0 20 Coffee 0 21 Tea 0 22 Tobacco 0 23 Cotton 0 24 Lumber, wood 0 25 Oil palm/palm oil 0 26 Honey or Sugarcane 0 27 Avocado 0 28 Bananas 1 29 Mangoes 0 30 Oranges/Citrus fruits 0 31 Pineapple 1 32 Sugarcane 0 33 Other fruits (specify) 0 34 Other vegetables (specify) 2 Sysmiss 3795 How much net income in past 12 months Primary male respondent In the past 12 months how much net income did [NAME] earn from the sale of these crops? Amount in KSh. All household members 8 years and older. 76 3731 0 180000 7821.303 23054.349 Has spent any time caring for animals Primary male respondent If answer is 2 > Go to 21 (mj21 - variable name in dataset). All household members 8 years and older. 83 3724 1 Yes 59 2 No 24 Sysmiss 3724 How much income did receive from the sale of products from animals Primary male respondent In the past 12 months, how much income did [NAME] receive from the sale of products from these animals (meat, milk, honey, etc.)? Amount in KSh. All household members 8 years and older. 59 3748 0 120000 5930.424 22296.29 Have any other work in past 12 months Primary male respondent Did [NAME] have any other work or jobs in the past 12 months? Go to section E2 (sj01a - variable name in dataset). If answer is 2 > Go to next person.]]> All household members 8 years and older. 84 3723 1 Yes 52 2 No 32 Sysmiss 3723 What type of business work at in past year - Description Primary male respondent What type of business or self-employment did [NAME] work at in the past year? What kind of trade, industry or business is it connected with? Description. If more than 1, use the job in which the most time is spent. All household members 8 years and older. 51 0 98 1 A TRADER 2 B&S FISH 1 B/S GOODS 1 B/S MAIZE 1 B/S VEGES 2 BODABODA 3 BUILDER 1 BUSINESS 1 CARPENTER 1 CHANGAA 1 CHARCOAL 5 CLOTHES 1 CONSTRUCT 1 EGGS TRADE 1 HAIR DRESS 2 KIOSK 1 MANDAZI 1 MITUMBA 2 R/VENDOR 1 RENT HOUSE 1 S TIMBER 1 S/VEGES 1 SALOONIST 1 SELL CLOTH 1 SELL DRUGS 1 SELL FISH 1 SELL MAIZE 4 SELL VEGS 1 SPORTS 1 TAILOR 1 TAILORING 2 TRADER 1 VEG SELLER 1 VEG VENDER 2 VIDEO SHOW 1 What type of business work at in past year Primary male respondent What type of business or self-employment did [NAME] work at in the past year? What kind of trade, industry or business is it connected with? Occupation Code. If more than 1, use the job in which the most time is spent. All household members 8 years and older. 51 3756 1 Crop farmer 0 2 Animal farmer 0 3 Housewife 0 4 Trader/merchant/salesperson 34 5 Transport worker 3 6 Construction worker 2 7 Teacher/education professional 0 8 Health professional/TBA/trad. Healer 0 9 Secretary/clerical 0 10 Factory worker 0 11 Restaurant/bar/hotel 0 12 Skilled trades (carpenter, tailor, etc.) 8 13 Preacher/pastor 0 14 Village elder 0 15 Domestic worker 0 16 Civil Servant/Government 0 17 Other (specify) 4 88 No activity/unemployed 0 99 Don’t Know 0 Sysmiss 3756 How much net income did receive from business Primary male respondent How much net income did [NAME] receive from this business in the past 12 months? All household members 8 years and older. 51 3756 99 360000 28363.412 56525.963 Did have any other work in past 12 months Primary male respondent Did [NAME] have any other work or jobs in the past 12 months? Go to section E2 (sj01a - variable name in dataset). If answer is 2 > Go to next person.]]> All household members 8 years and older. 51 3756 1 Yes 36 2 No 15 Sysmiss 3756 ID code members 8 yrs & above Primary male respondent ID Code Copy ID Codes from last page. All household members 8 years and older. 3764 43 1 818 2 773 3 638 4 503 5 386 6 272 7 165 8 101 9 57 10 24 11 13 12 7 13 5 14 1 15 1 Sysmiss 43 ID code Primary male respondent ID Code Copy ID Codes from last page. All household members 8 years and older. 3763 44 1 813 2 770 3 608 4 488 5 373 6 281 7 185 8 111 9 59 10 32 11 20 12 11 13 5 14 3 15 3 16 1 Sysmiss 44 What was secondary job in past 12 months - Description Primary male respondent What was [NAME’s] secondary job in the past 12 months, that is, the job or which he/she spent the most time at after his/her main job? What kind of trade, industry or business is this connected with? Description. All household members 8 years and older. 3752 0 98 10 99 1 A ATTENDAN 1 A FARMER 185 A FARMING 270 A KEEPING 1 A/FARM 124 A/FARMER 84 A/FARMING 117 A/KEEPING 1 ANIM FARM 1 ANIMALKEEP 1 ANM CARE 1 A\FARMING 5 B&S CATTLE 1 B&S COAL 1 B&S MAIZE 1 B&S VEGES 1 B/S MAIZE 2 B/S VEG 1 B/S VEGES 1 BABY CARE 1 BABY SIT 1 BAKERY 1 BAR 1 BODA BODA 1 BOREHOLES 1 BREW 1 BREWER 1 BREWING 6 BRICK MAKE 1 BUSINESS 5 BUTCHERY 3 C FARMER 325 C FARMING 573 C WEEDING 1 C/FARM 93 C/FARMER 127 C/FARMING 188 CARPENTER 1 CARPENTRY 2 CASUAL 9 CASUAL JOB 5 CASUALFARM 1 CASUALWORK 11 CHAIRMAN 1 CHARCOAL 10 CLEANER 1 CLEANING 1 CLERICAL 1 COL MILK 1 CONSTRUCT 1 CONSTRUCTI 3 COOK 1 CROP FARM 57 CUT TIMBER 2 C\FARMING 3 D WORK 2 DAIRYKIOSK 1 DOME WORK 8 DOMESTIC 2 DRIVER 2 DUKA 1 EGG VENDOR 1 FARM WORK 1 FARMER 104 FARMING 558 FARMWORK 2 GROCERY 3 H-WIFE 1 HARDWARE 1 HERDANIMAL 4 HERDSBOY 1 HOTEL 1 HOUSE WORK 1 HOUSEHELP 7 HOUSEHOLD 4 HOUSEKEEP 1 HOUSEWIFE 46 HOUSEWORK 209 KIOSK 9 L/LOADER 1 LIVESTOCK 2 M FARMER 7 M/FARMER 1 M/SELLER 2 M/TRADER 1 MAIZE 1 MAIZE TRAD 1 MASON 1 MECHANIC 1 MILKSELLER 1 MILKSUPPLY 1 MILKVENDER 1 MILKVENDOR 1 MOPPING 1 NO ACT 286 NO ACTIVIT 4 NO JOB 14 NO WORK 6 NOACTIVITY 12 NONE 1 P STATION 1 PETROL ATT 1 PHONE DEAL 1 PHOTOGRAPH 1 PICK TEA 2 PICKINGTEA 3 PLAITING 1 PLOUGHING 5 POSHO MILL 1 POSHOMILL 3 POULTRY 1 PTA 1 RADIO REP 1 RENT HOUSE 1 RETAIL 1 S ALCOHOL 1 S CHICKEN 1 S TIMBER 1 S/KEROSENE 1 S/VEGES 1 SALE JEMBE 2 SALONIST 1 SB MEMBER 1 SEL BUSAA 1 SEL CLOTHS 1 SELL CLOTH 2 SELL EGGS 2 SELL FRUIT 1 SELL MAIZE 6 SELL MILK 1 SELL ROPES 1 SELL SEEDS 1 SELL SNACK 1 SELL VEG 2 SELL VEGES 9 SELLER 1 SELLS BREW 1 SELLS MILK 1 SELLS VEG 1 SHAMBA 2 SHEEP TRAD 1 SHOE MAKER 1 SHOP 7 SHOPKEEPER 4 STONECUT 1 STUDENT 22 T DRIVER 5 T MECHANIC 1 TAILOR 2 TAILORING 1 TEA SALE 1 TEACHING 1 TEAPICKING 3 TIMBER 1 TIMBER TRA 1 TRADER 5 TRANSPORT 2 TREE SALES 1 TUNNEY BOY 1 UNEMPLOYED 3 V/SELLER 1 VEG FARMER 3 VEG SELLER 1 VEG VENDER 5 VEG VENDOR 1 VENDER 4 VENDOR 2 VIDEO SHOW 1 VIL ELDER 1 VILL/ELDER 1 WAGE 1 WAITER 2 WATCH TECH 1 WATCHMAN 1 WEED CROPS 1 WEED TEA 2 WEEDING 23 WORKING 3 What was secondary job in past 12 months Primary male respondent What was [NAME’s] secondary job in the past 12 months, that is, the job or which he/she spent the most time at after his/her main job? What kind of trade, industry or business is this connected with? Occupation code. If answer is 88 > Go to next person. All household members 8 years and older. 3763 44 1 Crop farmer 1871 2 Animal farmer 982 3 Housewife 258 4 Trader/merchant/salesperson 124 5 Transport worker 12 6 Construction worker 10 7 Teacher/education professional 1 8 Health professional/TBA/trad. healer 0 9 Secretary/clerical 2 10 Factory worker 0 11 Restaurant/bar/hotel 10 12 Skilled trades (carpenter, tailor, etc.) 17 13 Preacher/pastor 0 14 Village elder 2 15 Domestic worker 10 16 Civil Servant/Government 0 17 Other (specify) 93 88 Student 369 98 2 99 Don’t Know 0 Sysmiss 44 Job same as in the past 7 days Primary male respondent Is this the same job or activity cited for [NAME] in the past 7 days? If answer is 1 > Go to 7 (sj07 - variable name in dataset). If the secondary activity is the same as any one of the activities described in Sections B, C, or D, in the past 7 days, then you must write YES and go to the next individual. All household members 8 years and older. 3135 672 1 Yes, already described 2452 2 No,different work 677 8 6 Sysmiss 672 Did receive salary or payment of any kind Primary male respondent Did [NAME] receive a salary or payment of any kind for this work? If answer is 2 > Go to 6 (sj06 - variable name in dataset). All household members 8 years and older. 683 3124 1 Yes 91 2 No 581 8 11 Sysmiss 3124 In past 12 months how much was net salary Primary male respondent In the past 12 months, how much was [NAME’s] net salary/payment for this work? All household members 8 years and older. 91 3716 0 300000 13609.297 38519.857 How much net income did receive in past 12 months Primary male respondent All household members 8 years and older. 593 3214 0 162000 3176.361 13108.819 Did any other work in past 12 months Primary male respondent Did [NAME] do any other work or have any other jobs in the past 12 months that you have not described to me? If answer is 2 > Go to next person. All household members 8 years and older. 3136 671 1 Yes 281 2 No 2845 8 10 Sysmiss 671 In past 12 months how much did receive Primary male respondent In the past 12 months, how much did [NAME] receive from all these other jobs or all of this other work? All household members 8 years and older. 281 3526 0 300000 7211.185 23597.628 ID Code Primary male respondent COMPLETE FOR ALL INDIVIDUALS IN THE HOUSEHOLD THAT ARE 15 YEARS OR OLDER. ID Code You should ask the questions in this section for every household member that is 15 years or older. All individuals in the household that are 15 years or older. 2503 1304 1 819 2 726 3 419 4 252 5 147 6 85 7 38 8 12 9 3 10 2 Sysmiss 1304 ID Code Primary male respondent COMPLETE FOR ALL INDIVIDUALS IN THE HOUSEHOLD THAT ARE 15 YEARS OR OLDER. ID Code You should ask the questions in this section for every household member that is 15 years or older. All individuals in the household that are 15 years or older. 2502 1305 1 819 2 710 3 373 4 223 5 146 6 101 7 60 8 25 9 16 10 11 11 7 12 5 13 1 14 2 15 2 16 1 Sysmiss 1305 Pensions or retirement funds Primary male respondent During the past 12 months how much income has [NAME] received from each of the following sources…Pensions or retirement funds? A pension or retirement fund is money paid at regular intervals to the beneficiaries of a retirement pension. All individuals in the household that are 15 years or older. 2502 1305 0 120000 352.082 4737.685 Employment, medical or life insurance Primary male respondent During the past 12 months how much income has [NAME] received from each of the following sources…Employment, insurance, medical insurance, or life insurance? All individuals in the household that are 15 years or older. 2502 1305 0 360000 491.188 9003.223 Interest on savings, credit union or other account Primary male respondent During the past 12 months how much income has [NAME] received from each of the following sources…Interest on savings, credit union or other accounts? All individuals in the household that are 15 years or older. 2502 1305 0 20000 65.658 792.368 Lottery winning or games of chance Primary male respondent During the past 12 months how much income has [NAME] received from each of the following sources…Lottery winning or games of chance? All individuals in the household that are 15 years or older. 2502 1305 0 5000 10.378 202.432 Dowry Primary male respondent During the past 12 months how much income has [NAME] received from each of the following sources…Dowry? Probe for cash and kind. All individuals in the household that are 15 years or older. 2502 1305 0 120000 256.673 4467.381 Inheritance Primary male respondent During the past 12 months how much income has [NAME] received from each of the following sources…Inheritance? Probe for cash and kind. All individuals in the household that are 15 years or older. 2502 1305 0 1000000 856.633 24731.853 Sale of durable goods such as bicycles, cars, radio Primary male respondent During the past 12 months how much income has [NAME] received from each of the following sources…Sale of durable goods such as bicycles, cars, radios, etc? All individuals in the household that are 15 years or older. 2502 1305 0 80000 82.492 2238.412 Other sources of income, in cash or kind Primary male respondent During the past 12 months how much income has [NAME] received from each of the following sources…Other sources of income, in cash or kind? Go to next person. All individuals in the household that are 15 years or older. 2502 1305 0 38000 134.968 1684.327 Agriculture HH head module 2228 0 1 Yes 2228 2 No 0 Household ID Household ID 2228 0 1 9694 805.48 1137.384 1 3 3 3 4 2 5 3 6 2 7 3 8 1 9 2 10 2 11 1 12 2 13 2 14 3 15 3 16 2 17 1 18 2 19 3 20 2 21 2 22 3 23 1 24 2 25 2 26 6 27 2 28 3 29 3 30 2 31 2 32 2 33 1 34 4 35 3 38 3 39 2 41 4 43 2 44 7 46 3 47 3 48 2 49 1 50 1 53 2 55 2 58 2 60 2 62 2 64 5 65 5 66 3 67 2 68 3 69 3 70 3 73 3 74 3 75 1 76 3 77 2 80 3 82 5 84 2 89 1 93 2 94 3 95 3 97 3 98 3 99 1 102 3 103 2 106 2 108 3 109 2 110 3 111 3 112 7 113 2 114 3 115 4 117 2 120 3 121 1 123 1 128 3 150 5 151 4 152 3 154 4 155 3 156 4 158 5 161 3 162 3 163 1 164 3 165 3 166 2 167 3 168 1 169 2 171 3 172 2 174 3 200 3 201 3 202 2 203 6 204 3 205 3 206 3 207 3 208 3 209 4 210 6 211 3 212 3 213 3 216 4 217 3 218 1 221 4 222 3 223 3 250 3 251 3 252 2 253 2 254 4 255 3 256 2 257 3 258 3 259 3 260 3 261 3 262 3 263 4 264 1 265 2 266 3 267 2 268 2 269 2 273 4 274 2 275 4 276 2 277 4 278 3 279 2 280 4 281 4 282 3 300 3 301 4 302 3 303 3 304 2 305 2 306 4 307 2 309 5 310 2 311 3 312 3 313 3 314 3 315 3 316 2 317 3 318 2 350 3 351 3 352 3 353 3 354 3 355 3 356 2 357 3 358 1 359 3 360 3 361 3 362 4 363 3 364 3 365 3 366 3 368 4 369 3 372 2 400 3 401 3 402 4 403 2 404 6 405 3 406 4 407 3 409 1 410 4 411 1 412 1 415 3 417 3 418 1 419 2 420 4 421 4 422 3 423 2 424 3 425 3 426 3 427 3 428 3 429 3 430 3 431 4 434 3 436 2 438 3 450 2 451 4 452 3 453 2 454 3 455 3 456 4 457 3 458 3 459 4 460 3 461 3 462 4 463 3 464 2 465 3 466 1 467 3 468 4 469 4 470 4 473 4 475 3 476 1 478 3 479 3 480 2 481 3 482 5 483 3 484 3 485 3 486 2 487 3 488 2 489 1 490 3 500 3 501 3 502 2 504 4 505 3 506 3 507 3 508 3 509 2 510 3 511 3 512 3 513 2 514 3 515 1 516 3 518 4 519 3 520 4 521 3 522 3 523 3 524 3 525 3 526 3 527 3 528 4 529 4 530 4 531 1 532 2 533 2 534 3 535 3 537 4 538 2 540 3 541 3 542 2 543 3 544 4 545 4 546 3 547 2 548 2 549 4 550 2 551 3 552 2 554 4 556 4 557 3 559 2 560 2 562 1 563 2 564 3 565 2 566 3 568 4 580 1 582 2 585 5 587 4 588 3 589 2 590 3 591 3 593 4 594 3 595 5 597 4 598 3 599 2 600 1 601 6 603 1 604 1 605 2 606 3 607 2 608 4 609 3 610 4 611 3 612 4 615 4 616 3 617 4 618 3 619 3 620 4 621 4 622 2 623 2 624 4 625 5 626 4 627 5 628 2 630 3 632 2 633 3 634 4 635 3 637 4 639 3 640 3 652 2 653 4 656 3 658 3 660 1 663 2 665 2 666 3 667 4 670 2 671 2 673 3 674 4 675 3 676 2 677 3 678 3 679 2 680 3 681 3 682 3 683 3 686 4 687 3 688 3 689 3 690 6 691 3 692 3 693 1 694 3 696 3 697 2 698 3 699 3 700 4 701 3 702 3 703 4 706 3 707 3 708 3 709 3 710 3 711 2 712 3 715 4 716 3 717 3 720 3 721 2 722 3 723 3 724 3 725 3 726 3 727 3 728 2 730 3 731 3 732 3 733 4 735 2 736 3 737 2 738 3 739 3 740 3 741 3 742 4 746 3 747 3 748 3 751 7 752 4 755 1 757 3 758 3 764 2 766 3 775 1 776 5 779 3 780 3 781 1 783 3 784 3 786 6 787 6 790 5 791 2 792 3 793 3 794 3 802 4 803 1 804 4 805 3 807 1 808 2 809 1 810 3 811 2 812 1 813 2 814 3 815 2 817 1 819 3 820 2 821 1 822 4 824 2 826 3 827 3 828 2 829 4 830 3 831 3 832 3 833 3 834 3 835 3 837 7 839 3 840 3 843 3 844 4 845 1 846 2 847 1 849 4 850 4 851 2 853 3 854 3 855 3 900 2 901 3 902 4 903 3 904 2 905 4 906 4 907 2 909 3 911 4 912 3 913 3 914 5 915 1 916 1 917 2 918 3 919 3 920 3 921 2 923 1 924 3 925 3 926 4 927 2 928 2 929 2 930 2 931 4 932 3 933 2 934 3 935 3 936 2 937 3 939 1 940 3 941 4 942 3 943 3 944 3 945 3 946 1 947 3 948 3 949 4 951 2 952 4 953 3 954 3 955 4 956 2 957 3 958 2 959 2 960 3 961 3 962 4 963 2 964 4 965 2 966 1 967 2 969 2 970 3 971 3 972 2 973 3 975 3 976 4 977 3 978 3 979 3 980 2 982 3 983 1 984 1 985 4 986 1 987 4 988 4 989 2 990 1 991 2 992 3 993 3 994 3 995 1 996 3 997 4 998 3 999 2 1000 3 1001 2 1003 4 1004 3 1005 3 1007 3 1008 1 1009 5 1010 4 1011 3 1012 3 1013 2 1014 3 1015 3 1016 3 1017 4 1020 3 1021 3 1022 1 1023 3 1024 3 1025 3 1027 3 1028 3 1029 3 1031 4 1100 2 1101 4 1102 1 1104 3 1105 4 1106 2 1107 4 1108 5 1109 4 1110 3 1111 3 1113 4 1114 2 1115 3 1116 3 1117 2 1118 2 1119 5 1120 6 1121 4 1122 3 1123 3 1124 7 1125 2 1126 2 1127 3 1129 4 1130 3 1131 1 1132 3 1133 3 1134 2 1136 3 1137 3 1138 1 1139 3 1141 4 1142 3 1143 3 1144 2 1145 2 1146 3 1150 2 1151 3 1152 6 1153 2 1154 2 1155 3 1156 2 1157 3 1158 2 1159 4 1160 4 1161 2 1167 3 1168 2 1169 1 1170 4 1171 1 1173 3 1200 3 1201 3 1202 3 1203 2 1204 4 1205 2 1206 2 1207 2 1208 3 1209 2 1210 3 1211 3 1212 2 1214 3 1215 3 1216 3 1218 1 1219 3 1220 2 1221 5 1223 4 1225 2 1227 3 1228 4 1229 4 1230 2 1231 2 1232 3 1234 3 1235 4 1236 3 1237 3 1239 5 1240 4 1241 2 1242 2 1243 2 1244 4 1245 5 1246 3 1247 3 1248 4 1249 4 1250 3 1251 3 1252 2 1253 1 1254 3 1255 4 1257 3 1259 3 1261 5 1263 3 1264 3 1265 3 1266 2 1269 3 1270 3 1271 3 1272 1 1273 4 1274 4 1275 5 1276 2 1277 3 1278 9 1279 4 1280 3 1281 1 1282 3 1283 3 1284 2 1285 3 8043 3 9012 4 9019 1 9134 2 9166 2 9210 3 9212 3 9225 1 9240 4 9265 3 9518 4 9653 4 9694 2 Respondent ID Respondent ID 2228 0 1 1849 2 296 3 54 4 18 5 5 6 4 7 2 Day of interview Date of Interview. Day. 2228 0 1 31 15.941 8.749 1 34 2 84 3 66 4 85 5 69 6 86 7 84 8 42 9 87 10 87 11 62 12 67 13 90 14 83 15 60 16 90 17 69 18 54 19 80 20 79 21 83 22 101 23 51 24 41 25 46 26 85 27 62 28 96 29 84 30 96 31 25 Month of interview Date of Interview. Month. 2228 0 1 3 3 284 4 575 5 414 6 377 7 404 8 171 Year of interview Date of Interview. Year. 2228 0 2004 2228 Shambas farmed by members in past 12 months The household head How many shambas/gardens were farmed (individually or collectively) by you or members of your household in the past 12 months? Shambas. Include shambas/gardens that were rented and also shambas/gardens that were left fallow. 2228 0 0 98 2.572 4.641 Gardens farmed by members in past 12 months The household head How many shambas/gardens were farmed (individually or collectively) by you or members of your household in the past 12 months? Gardens. 2228 0 0 98 1.347 6.519 Count of plots 2228 0 Count of crop 2228 0 Plot number The household head Now I would like to ask you about each of the shambas and gardens that members of your household have farmed, including plots that were farmed by your spouse. Plot Number 2228 0 1 28 2.14 1.241 1 785 2 695 3 520 4 165 5 38 6 16 7 6 8 1 9 1 28 1 Total area of shamba - (Quantity) The household head What is the total area of this shamba/garden? Quantity. 2228 0 3 9900 259.987 665.215 Total area of shamba - (Unit) The household head What is the total area of this shamba/garden? Land Unit Code. 2228 0 1 Acres 2214 2 Hectares 5 3 Sq. meters 3 4 Sq. feet 0 8 6 Ownership status The household head What is the ownership status of this shamba/garden? Go to 8 (agrh08 - variable name in dataset). If answer is 3 > Go to 6 (agrh06 - variable name in dataset). If answer is 5 > Go to 9 (agrh09 - variable name in dataset).]]> Ask about the ownership status of the shamba - depending on the answer, you should skip to the relevant next question. 2228 0 1 Owned and cultivated by your household 1255 2 Not owned but rented in 165 3 Owned and rented out 51 4 Owned and left fallow 548 5 Belongs to relatives 203 8 6 Did have to pay for the use The household head Did you or your household have to pay for the use of this shamba/garden? If answer is 2 > Go to 9 (agrh09 - variable name in dataset). 171 2057 1 Yes 139 2 No 26 8 6 Sysmiss 2057 Value of cash & crops that had to pay The household head Go to 9 (agrh09 - variable name in dataset). Ask for the amount paid in the last 12 months for renting in the shamba or garden - if the respondent pays in terms of crop output, include the value of these crops. 139 2089 150 54000 5132.338 6864.055 Received any payments in cash & crops for use of shamba The household head If answer is 2 > Go to next person. 51 2177 1 Yes 39 2 No 12 Sysmiss 2177 How much did receive in cash or crops The household head Ask for the amount received in the last 12 months for renting out the shamba or garden - if the respondent received crops as a payment, include the value of these crops. 39 2189 1000 90000 7948.718 14344.848 What would be the value of the garden The household head Exclude the value of any buildings on the land. 1844 384 98 13900000 292717.433 775767.661 The household head ENUMERATOR: Don’t ask this question if answer to question 3 was code 3 -- “owned and rented out”. What crops were being grown on this shamba/farm for the past 12 months? List up to 8 crop codes. 2216 12 1 Maize 1041 2 Wheat 5 3 Millet or sorghum 13 4 Rice 0 5 Beans, peas, cowpeas, other pulses 56 6 Cabbage 62 7 Sukuma wiki 205 8 Spinach 1 9 Yams or Sweet potatoes 8 10 Irish potatoes 27 11 Cassava 4 12 Groundnuts 0 13 Sunflower seeds 0 14 Tomatoes 3 15 Onions, leeks 4 16 Eggplant 0 17 Carrots 0 18 Capsicums/Green Peppers 0 19 Chillies 1 20 Coffee 1 21 Tea 47 22 Tobacco 3 23 Cotton 0 24 Lumber, wood 0 25 Oil palm/palm oil 0 26 Honey or Sugarcane 1 27 Avocado 1 28 Bananas 26 29 Mangoes 0 30 Oranges/Citrus fruits 1 31 Pineapple 1 32 Sugarcane 1 33 Other fruits (specify) 0 34 Other vegetables (specify) 71 88 Fallow 587 98 46 Sysmiss 12 What crops were being grown for the past 12 months The household head ENUMERATOR: Don’t ask this question if answer to question 3 was code 3 -- “owned and rented out”. What crops were being grown on this shamba/farm for the past 12 months? List up to 8 crop codes. 1173 1055 1 Maize 24 2 Wheat 1 3 Millet or sorghum 18 4 Rice 0 5 Beans, peas, cowpeas, other pulses 683 6 Cabbage 40 7 Sukuma wiki 141 8 Spinach 11 9 Yams or Sweet potatoes 8 10 Irish potatoes 41 11 Cassava 1 12 Groundnuts 0 13 Sunflower seeds 0 14 Tomatoes 7 15 Onions, leeks 21 16 Eggplant 0 17 Carrots 1 18 Capsicums/Green Peppers 1 19 Chillies 1 20 Coffee 0 21 Tea 3 22 Tobacco 0 23 Cotton 0 24 Lumber, wood 0 25 Oil palm/palm oil 0 26 Honey or Sugarcane 3 27 Avocado 4 28 Bananas 16 29 Mangoes 0 30 Oranges/Citrus fruits 1 31 Pineapple 3 32 Sugarcane 3 33 Other fruits (specify) 0 34 Other vegetables (specify) 139 88 Fallow 2 Sysmiss 1055 What crops were being grown for the past 12 months The household head ENUMERATOR: Don’t ask this question if answer to question 3 was code 3 -- “owned and rented out”. What crops were being grown on this shamba/farm for the past 12 months? List up to 8 crop codes. 433 1795 1 Maize 7 2 Wheat 2 3 Millet or sorghum 21 4 Rice 0 5 Beans, peas, cowpeas, other pulses 20 6 Cabbage 27 7 Sukuma wiki 73 8 Spinach 16 9 Yams or Sweet potatoes 17 10 Irish potatoes 38 11 Cassava 3 12 Groundnuts 0 13 Sunflower seeds 0 14 Tomatoes 7 15 Onions, leeks 32 16 Eggplant 1 17 Carrots 3 18 Capsicums/Green Peppers 0 19 Chillies 1 20 Coffee 0 21 Tea 1 22 Tobacco 0 23 Cotton 0 24 Lumber, wood 0 25 Oil palm/palm oil 0 26 Honey or Sugarcane 3 27 Avocado 2 28 Bananas 28 29 Mangoes 0 30 Oranges/Citrus fruits 0 31 Pineapple 1 32 Sugarcane 3 33 Other fruits (specify) 1 34 Other vegetables (specify) 126 88 Fallow 0 Sysmiss 1795 What crops were being grown for the past 12 months The household head ENUMERATOR: Don’t ask this question if answer to question 3 was code 3 -- “owned and rented out”. What crops were being grown on this shamba/farm for the past 12 months? List up to 8 crop codes. 216 2012 1 Maize 3 2 Wheat 0 3 Millet or sorghum 5 4 Rice 0 5 Beans, peas, cowpeas, other pulses 9 6 Cabbage 10 7 Sukuma wiki 19 8 Spinach 5 9 Yams or Sweet potatoes 9 10 Irish potatoes 10 11 Cassava 0 12 Groundnuts 0 13 Sunflower seeds 0 14 Tomatoes 11 15 Onions, leeks 25 16 Eggplant 0 17 Carrots 1 18 Capsicums/Green Peppers 1 19 Chillies 0 20 Coffee 0 21 Tea 0 22 Tobacco 0 23 Cotton 0 24 Lumber, wood 0 25 Oil palm/palm oil 0 26 Honey or Sugarcane 0 27 Avocado 3 28 Bananas 21 29 Mangoes 0 30 Oranges/Citrus fruits 0 31 Pineapple 2 32 Sugarcane 5 33 Other fruits (specify) 2 34 Other vegetables (specify) 75 88 Fallow 0 Sysmiss 2012 What crops were being grown for the past 12 months The household head ENUMERATOR: Don’t ask this question if answer to question 3 was code 3 -- “owned and rented out”. What crops were being grown on this shamba/farm for the past 12 months? List up to 8 crop codes. 94 2134 1 Maize 1 2 Wheat 0 3 Millet or sorghum 4 4 Rice 0 5 Beans, peas, cowpeas, other pulses 1 6 Cabbage 1 7 Sukuma wiki 8 8 Spinach 3 9 Yams or Sweet potatoes 7 10 Irish potatoes 7 11 Cassava 1 12 Groundnuts 0 13 Sunflower seeds 0 14 Tomatoes 3 15 Onions, leeks 14 16 Eggplant 0 17 Carrots 1 18 Capsicums/Green Peppers 0 19 Chillies 0 20 Coffee 0 21 Tea 0 22 Tobacco 0 23 Cotton 0 24 Lumber, wood 0 25 Oil palm/palm oil 0 26 Honey or Sugarcane 0 27 Avocado 3 28 Bananas 6 29 Mangoes 0 30 Oranges/Citrus fruits 2 31 Pineapple 2 32 Sugarcane 1 33 Other fruits (specify) 0 34 Other vegetables (specify) 29 88 Fallow 0 Sysmiss 2134 What crops were being grown for the past 12 months The household head ENUMERATOR: Don’t ask this question if answer to question 3 was code 3 -- “owned and rented out”. What crops were being grown on this shamba/farm for the past 12 months? List up to 8 crop codes. 46 2182 1 Maize 0 2 Wheat 0 3 Millet or sorghum 1 4 Rice 0 5 Beans, peas, cowpeas, other pulses 2 6 Cabbage 3 7 Sukuma wiki 0 8 Spinach 0 9 Yams or Sweet potatoes 4 10 Irish potatoes 3 11 Cassava 1 12 Groundnuts 0 13 Sunflower seeds 0 14 Tomatoes 1 15 Onions, leeks 3 16 Eggplant 0 17 Carrots 1 18 Capsicums/Green Peppers 1 19 Chillies 0 20 Coffee 0 21 Tea 0 22 Tobacco 1 23 Cotton 0 24 Lumber, wood 0 25 Oil palm/palm oil 0 26 Honey or Sugarcane 0 27 Avocado 2 28 Bananas 9 29 Mangoes 0 30 Oranges/Citrus fruits 0 31 Pineapple 0 32 Sugarcane 1 33 Other fruits (specify) 0 34 Other vegetables (specify) 13 88 Fallow 0 Sysmiss 2182 What crops were being grown for the past 12 months The household head ENUMERATOR: Don’t ask this question if answer to question 3 was code 3 -- “owned and rented out”. What crops were being grown on this shamba/farm for the past 12 months? List up to 8 crop codes. 20 2208 1 Maize 1 2 Wheat 0 3 Millet or sorghum 1 4 Rice 0 5 Beans, peas, cowpeas, other pulses 0 6 Cabbage 0 7 Sukuma wiki 1 8 Spinach 0 9 Yams or Sweet potatoes 0 10 Irish potatoes 1 11 Cassava 0 12 Groundnuts 0 13 Sunflower seeds 0 14 Tomatoes 0 15 Onions, leeks 4 16 Eggplant 0 17 Carrots 0 18 Capsicums/Green Peppers 0 19 Chillies 0 20 Coffee 0 21 Tea 0 22 Tobacco 0 23 Cotton 0 24 Lumber, wood 0 25 Oil palm/palm oil 0 26 Honey or Sugarcane 1 27 Avocado 2 28 Bananas 2 29 Mangoes 0 30 Oranges/Citrus fruits 0 31 Pineapple 1 32 Sugarcane 1 33 Other fruits (specify) 0 34 Other vegetables (specify) 5 88 Fallow 0 Sysmiss 2208 What crops were being grown for the past 12 months The household head ENUMERATOR: Don’t ask this question if answer to question 3 was code 3 -- “owned and rented out”. What crops were being grown on this shamba/farm for the past 12 months? List up to 8 crop codes. 9 2219 1 Maize 0 2 Wheat 1 3 Millet or sorghum 0 4 Rice 0 5 Beans, peas, cowpeas, other pulses 2 6 Cabbage 0 7 Sukuma wiki 0 8 Spinach 0 9 Yams or Sweet potatoes 0 10 Irish potatoes 0 11 Cassava 0 12 Groundnuts 0 13 Sunflower seeds 0 14 Tomatoes 0 15 Onions, leeks 0 16 Eggplant 0 17 Carrots 0 18 Capsicums/Green Peppers 0 19 Chillies 0 20 Coffee 0 21 Tea 0 22 Tobacco 0 23 Cotton 0 24 Lumber, wood 0 25 Oil palm/palm oil 0 26 Honey or Sugarcane 0 27 Avocado 0 28 Bananas 2 29 Mangoes 0 30 Oranges/Citrus fruits 0 31 Pineapple 0 32 Sugarcane 0 33 Other fruits (specify) 0 34 Other vegetables (specify) 4 88 Fallow 0 Sysmiss 2219 Agriculture HH head module 2147 0 1 Yes 2147 2 No 0 Household ID Household ID 2147 0 1 9694 906.264 1373.436 1 4 3 2 4 1 5 1 6 2 7 2 8 2 9 1 10 1 11 2 12 5 13 1 14 2 15 4 16 4 17 1 18 1 19 2 20 2 21 1 22 1 23 3 24 2 25 2 26 2 27 2 28 2 29 1 30 3 31 2 32 6 33 2 34 1 35 1 38 1 39 1 41 2 43 2 44 1 46 3 47 3 48 1 49 1 53 1 55 5 58 2 60 2 62 2 64 1 65 2 66 8 67 2 68 8 69 3 70 4 73 1 74 4 75 2 76 3 77 1 80 1 82 5 84 5 89 2 93 2 94 3 95 2 97 5 98 2 102 1 103 1 106 1 108 1 109 1 110 8 111 5 112 1 113 4 114 2 117 6 120 1 123 1 128 6 150 1 151 2 152 1 154 2 155 5 156 3 158 2 161 1 162 1 164 2 165 4 166 1 167 2 168 3 169 5 171 2 172 1 174 2 200 2 201 1 202 1 203 1 204 1 205 4 206 1 207 1 208 1 209 1 210 2 211 1 212 2 213 2 216 10 217 2 218 1 221 6 222 3 223 2 250 1 251 2 252 2 253 1 254 1 255 1 256 1 257 2 258 1 259 1 260 2 261 3 262 2 263 4 264 2 265 2 266 2 267 1 268 2 269 1 273 5 274 1 275 1 276 2 277 1 278 3 279 1 280 2 281 3 282 6 300 5 301 1 302 2 303 5 304 1 305 4 306 2 307 2 309 2 310 2 311 5 312 5 313 1 314 3 315 2 316 5 317 3 318 1 350 3 351 6 352 2 353 2 354 2 355 1 356 2 357 1 358 2 359 2 360 1 361 1 362 3 363 1 364 1 365 1 366 1 368 4 369 4 372 2 400 1 401 3 402 2 403 4 404 2 405 3 406 1 407 3 409 3 410 1 411 3 412 1 415 5 417 2 418 2 419 2 420 4 421 2 422 4 423 1 424 2 425 3 426 4 427 2 428 2 429 2 430 2 431 2 434 3 436 1 438 1 450 5 451 3 452 6 453 2 454 1 455 6 456 4 457 2 458 3 459 2 460 2 461 5 462 2 463 4 464 1 465 4 466 2 467 2 468 1 469 3 470 2 473 4 475 2 476 2 478 4 479 1 480 3 481 1 482 1 483 1 484 2 485 2 486 2 487 3 488 3 489 3 490 2 500 2 501 2 502 3 504 3 505 5 506 2 507 3 508 1 509 2 510 2 511 2 512 1 513 3 514 5 515 3 516 5 518 3 519 2 520 2 521 2 522 3 523 6 524 2 525 1 526 1 527 1 528 4 529 2 530 3 532 1 534 2 535 2 537 3 538 4 540 2 541 3 542 3 543 3 544 3 545 2 546 2 548 4 549 3 550 2 551 2 552 4 554 2 556 5 557 4 559 2 562 1 563 3 564 2 565 1 566 2 568 6 580 3 582 7 585 5 587 9 588 1 589 1 590 3 591 4 593 1 594 5 595 5 597 2 598 4 599 5 600 3 601 6 603 4 604 3 605 1 606 3 607 2 608 3 609 3 610 3 611 3 612 4 615 3 616 3 617 3 619 3 620 2 621 2 622 2 623 3 624 2 625 4 626 2 627 4 628 3 630 3 632 3 633 4 634 3 635 1 637 2 639 4 640 6 652 2 653 4 656 6 658 2 660 2 663 5 665 4 666 5 667 2 670 1 671 2 673 1 674 4 675 3 676 2 677 4 678 2 679 2 680 2 681 4 682 2 683 4 686 4 687 2 688 2 689 2 690 4 691 2 692 2 693 2 694 4 696 4 697 2 698 2 699 4 700 2 701 5 702 2 703 5 706 2 707 2 708 2 709 2 710 2 711 1 712 2 715 4 716 2 717 2 720 3 721 2 722 2 723 2 724 2 725 4 726 3 727 2 728 3 730 5 731 2 732 5 733 2 735 2 736 5 737 3 738 4 739 2 740 2 741 4 742 3 746 2 747 2 748 2 751 5 752 5 757 1 758 2 764 4 766 1 775 3 776 2 779 2 780 2 781 2 783 2 784 4 786 4 787 1 790 4 791 2 792 4 793 5 794 2 802 4 803 1 804 8 805 6 808 2 809 3 810 3 811 2 812 2 813 1 814 5 815 3 817 3 819 3 820 1 822 3 826 2 827 4 828 3 829 2 830 4 831 5 832 2 833 7 834 3 835 2 837 6 839 4 840 1 843 5 844 3 845 1 846 2 847 1 849 6 850 1 851 3 853 4 854 8 855 5 900 2 901 5 902 2 903 2 904 4 905 2 906 2 907 2 909 5 911 5 912 5 913 1 914 4 915 3 916 3 917 3 918 3 919 4 920 2 921 6 923 2 924 3 925 6 926 3 927 1 928 1 929 2 930 5 931 3 932 3 933 3 934 5 935 4 936 1 937 3 939 1 940 5 941 2 942 9 943 1 944 7 945 8 946 2 947 3 948 7 949 8 951 9 952 8 953 8 954 5 955 4 956 6 957 5 958 3 959 4 960 2 961 3 962 5 963 3 964 3 965 1 967 4 969 5 970 2 971 10 972 2 973 4 975 3 976 10 977 4 978 3 979 2 980 3 982 5 984 2 985 3 986 1 987 4 988 10 989 1 990 2 991 2 992 4 993 6 994 4 995 2 996 4 997 2 998 4 999 2 1000 2 1001 6 1003 6 1004 5 1005 6 1007 4 1009 3 1010 7 1011 6 1012 3 1013 3 1014 4 1015 3 1016 6 1017 5 1020 2 1021 5 1023 3 1024 2 1025 3 1027 5 1028 6 1029 4 1031 3 1100 2 1101 8 1102 1 1104 1 1105 10 1106 2 1107 3 1108 2 1109 8 1110 1 1111 5 1113 4 1114 3 1115 1 1116 2 1117 2 1118 2 1119 3 1120 2 1121 4 1122 2 1123 7 1124 2 1125 1 1126 2 1127 5 1129 2 1130 2 1132 5 1133 4 1134 3 1136 3 1137 4 1138 1 1139 2 1141 2 1142 2 1143 7 1144 4 1145 2 1146 4 1150 1 1151 2 1152 1 1153 1 1154 1 1155 1 1157 2 1158 1 1159 4 1160 4 1161 2 1167 2 1168 2 1169 2 1170 2 1171 2 1173 6 1200 2 1201 4 1202 2 1203 1 1204 1 1205 2 1206 2 1207 3 1208 2 1209 2 1210 5 1211 1 1212 6 1214 2 1215 1 1216 1 1218 3 1219 1 1220 3 1221 2 1223 2 1225 2 1227 2 1228 1 1229 7 1230 1 1231 1 1234 1 1235 1 1236 2 1237 7 1239 6 1240 3 1241 3 1242 5 1243 2 1244 5 1245 4 1246 2 1247 2 1248 2 1249 4 1250 2 1251 2 1252 3 1253 2 1254 2 1255 1 1257 5 1259 3 1261 1 1263 1 1264 2 1265 2 1266 1 1269 1 1270 2 1271 4 1272 1 1273 2 1274 1 1275 1 1276 1 1277 4 1278 4 1279 1 1280 5 1281 1 1282 1 1283 2 1284 1 1285 2 8043 1 9012 3 9019 4 9134 3 9166 5 9210 7 9212 8 9225 3 9240 4 9265 4 9518 3 9653 4 9694 4 Respondent ID Respondent ID 2147 0 1 1660 2 376 3 74 4 17 5 16 6 3 7 1 Day of interview Date of Interview. Day. 2147 0 1 31 15.941 8.684 1 28 2 94 3 61 4 65 5 65 6 96 7 90 8 42 9 78 10 74 11 62 12 68 13 77 14 73 15 70 16 70 17 53 18 62 19 85 20 74 21 87 22 105 23 74 24 38 25 58 26 63 27 66 28 94 29 67 30 89 31 19 Month of interview Date of Interview. Month. 2147 0 1 2 3 219 4 491 5 405 6 460 7 417 8 153 Year of interview Date of Interview. Year. 2147 0 2004 2147 Shambas farmed by members in past 12 months The household head How many shambas/gardens were farmed (individually or collectively) by you or members of your household in the past 12 months? Shambas. Include shambas/gardens that were rented and also shambas/gardens that were left fallow. 2147 0 0 98 2.463 5.54 Gardens farmed by members in past 12 months The household head How many shambas/gardens were farmed (individually or collectively) by you or members of your household in the past 12 months? Gardens. 2147 0 0 98 1.558 8.107 Count of plots 2147 0 Count of crop 2147 0 Crop code The household head Now I would like to ask you about all the crops that you or members of your household (other than your spouse) were responsible for selling or setting aside for home consumption. If your spouse manages a vegetable garden, do not include the crops produced on that garden. Include all fruits and vegetables. Please tell me about all crops that have been grown in any of the last 3 years. Crop Codes 2147 0 1 Maize 737 2 Wheat 9 3 Millet or sorghum 46 4 Rice 0 5 Beans, peas, cowpeas, other pulses 491 6 Cabbage 56 7 Sukuma wiki 206 8 Spinach 26 9 Yams or Sweet potatoes 21 10 Irish potatoes 67 11 Cassava 5 12 Groundnuts 0 13 Sunflower seeds 0 14 Tomatoes 21 15 Onions, leeks 62 16 Eggplant 0 17 Carrots 3 18 Capsicums/Green Peppers 3 19 Chillies 1 20 Coffee 1 21 Tea 43 22 Tobacco 3 23 Cotton 0 24 Lumber, wood 0 25 Oil palm/palm oil 0 26 Honey or Sugarcane 3 27 Avocado 15 28 Bananas 51 29 Mangoes 0 30 Oranges/Citrus fruits 0 31 Pineapple 8 32 Sugarcane 9 33 Other fruits (specify) 2 34 Other vegetables (specify) 258 Quantity of crop hh produced during long & short rains in 2003 The household head How much quantity of [Crop] did your household produce (for sale and for home consumption) during the long and short rains seasons of 2003? Quantity. 2147 0 0 8000 76.239 454.949 Quantity of crop hh produced during long & short rains in 2003 The household head How much quantity of [Crop] did your household produce (for sale and for home consumption) during the long and short rains seasons of 2003? Crop Unit Code. 2037 110 1 Kilograms 38 2 Goro goros (2 Kgs.) 152 3 Debbes 314 4 Litres 2 5 Bunches 342 6 Bags/Sacks 1107 7 Pieces 61 8 Tins 20 9 Dozens 1 Sysmiss 110 Quantity of crop hh sell after long & short rains in 2003 (Quantity) The household head How much quantity of [Crop] did your household sell during or shortly after the long and short rains seasons of 2003? Quantity. 2146 1 0 8000 53.803 442.978 Quantity of crop hh sell after long & short rains in 2003 (Crop unit) The household head How much quantity of [Crop] did your household sell during or shortly after the long and short rains seasons of 2003? Crop Unit Code. 790 1357 1 Kilograms 33 2 Goro goros (2 Kgs.) 39 3 Debbes 45 4 Litres 0 5 Bunches 54 6 Bags/Sacks 585 7 Pieces 27 8 Tins 6 9 Dozens 1 Sysmiss 1357 Income hh receive from selling the quantity of crop (Amount) The household head How much income did your household receive from selling this quantity of [Crop]? TOTAL Amount in KSh. Total Amount from selling the quantity in 2 must be filled out -- but unit price and unit code are optional. 2146 1 0 1040000 8366.667 40087.949 Income hh receive from selling the quantity of crop (Unit price) The household head How much income did your household receive from selling this quantity of [Crop]? Unit price. Total Amount from selling the quantity in 2 must be filled out -- but unit price and unit code are optional. 818 1329 1 6000 734.049 686.112 Income hh receive from selling the quantity of crop (Crop unit) The household head How much income did your household receive from selling this quantity of [Crop]? Crop Unit code. Total Amount from selling the quantity in 2 must be filled out -- but unit price and unit code are optional. 818 1329 1 Kilograms 34 2 Goro goros (2 Kgs.) 43 3 Debbes 36 4 Litres 0 5 Bunches 52 6 Bags/Sacks 517 7 Pieces 26 8 Tins 3 9 Dozens 0 98 107 Sysmiss 1329 Have any crop in storage The household head Do you have any of the [Crop] in storage at the present? If answer is 2 > Go to 7 (agrhb7 - variable name in dataset). 2146 1 1 Yes 763 2 No 1368 8 15 Sysmiss 1 If were to sell the stored quantity, what is amount would get The household head If you were to sell this stored quantity now, what is the amount you could get? Amount in KSh. Ask the respondent to use the current price for the crop being discussed to estimate the value of the stored quantity. 778 1369 0 140000 5201.284 9809.121 Income hh receive from selling crop during long & short rain The household head How much income did your household receive from selling [Crop] during the long and short rains seasons of 2002? Total Amount in KSh. 2146 1 0 800000 6661.082 34883.596 Income hh receive from selling crop during long & short rain The household head 2146 1 0 900000 5283.85 33209.044 Agriculture HH head module 1556 0 1 Yes 1556 2 No 0 Household ID Household ID 1556 0 1 9694 803.359 1154.009 1 2 3 2 4 2 5 2 6 2 7 2 8 2 9 2 10 2 11 2 12 2 13 2 14 2 15 2 16 2 17 2 18 2 19 2 20 2 21 2 22 2 23 2 24 2 25 2 26 2 27 2 28 2 29 2 30 2 31 2 32 2 33 2 34 2 35 2 38 2 39 2 41 2 43 2 44 2 46 2 47 2 48 2 49 2 50 2 53 2 55 2 58 2 60 2 62 2 64 2 65 2 66 2 67 2 68 2 69 2 70 2 73 2 74 2 75 2 76 2 77 2 80 2 82 2 84 2 89 2 93 2 94 2 95 2 97 2 98 2 99 2 102 2 103 2 106 2 108 2 109 2 110 2 111 2 112 2 113 2 114 2 115 2 117 2 120 2 121 2 123 2 128 2 150 2 151 2 152 2 154 2 155 2 156 2 158 2 161 2 162 2 163 2 164 2 165 2 166 2 167 2 168 2 169 2 171 2 172 2 174 2 200 2 201 2 202 2 203 2 204 2 205 2 206 2 207 2 208 2 209 2 210 2 211 2 212 2 213 2 216 2 217 2 218 2 221 2 222 2 223 2 250 2 251 2 252 2 253 2 254 2 255 2 256 2 257 2 258 2 259 2 260 2 261 2 262 2 263 2 264 2 265 2 266 2 267 2 268 2 269 2 273 2 274 2 275 2 276 2 277 2 278 2 279 2 280 2 281 2 282 2 300 2 301 2 302 2 303 2 304 2 305 2 306 2 307 2 309 2 310 2 311 2 312 2 313 2 314 2 315 2 316 2 317 2 318 2 350 2 351 2 352 2 353 2 354 2 355 2 356 2 357 2 358 2 359 2 360 2 361 2 362 2 363 2 364 2 365 2 366 2 368 2 369 2 372 2 400 2 401 2 402 2 403 2 404 2 405 2 406 2 407 2 409 2 410 2 411 2 412 2 415 2 417 2 418 2 419 2 420 2 421 2 422 2 423 2 424 2 425 2 426 2 427 2 428 2 429 2 430 2 431 2 434 2 436 2 438 2 450 2 451 2 452 2 453 2 454 2 455 2 456 2 457 2 458 2 459 2 460 2 461 2 462 2 463 2 464 2 465 2 466 2 467 2 468 2 469 2 470 2 473 2 475 2 476 2 478 2 479 2 480 2 481 2 482 2 483 2 484 2 485 2 486 2 487 2 488 2 489 2 490 2 500 2 501 2 502 2 504 2 505 2 506 2 507 2 508 2 509 2 510 2 511 2 512 2 513 2 514 2 515 2 516 2 518 2 519 2 520 2 521 2 522 2 523 2 524 2 525 2 526 2 527 2 528 2 529 2 530 2 531 2 532 2 533 2 534 2 535 2 537 2 538 2 539 2 540 2 541 2 542 2 543 2 544 2 545 2 546 2 547 2 548 2 549 2 550 2 551 2 552 2 554 2 556 2 557 2 559 2 560 2 562 2 563 2 564 2 565 2 566 2 568 2 580 2 581 2 582 2 585 2 587 2 588 2 589 2 590 2 591 2 593 2 594 2 595 2 597 2 598 2 599 2 600 2 601 2 603 2 604 2 605 2 606 2 607 2 608 2 609 2 610 2 611 2 612 2 615 2 616 2 617 2 618 2 619 2 620 2 621 2 622 2 623 2 624 2 625 2 626 2 627 2 628 2 630 2 632 2 633 2 634 2 635 2 637 2 639 2 640 2 652 2 653 2 656 2 658 2 660 2 663 2 665 2 666 2 667 2 670 2 671 2 673 2 674 2 675 2 676 2 677 2 678 2 679 2 680 2 681 2 682 2 683 2 686 2 687 2 688 2 689 2 690 2 691 2 692 2 693 2 694 2 696 2 697 2 698 2 699 2 700 2 701 2 702 2 703 2 706 2 707 2 708 2 709 2 710 2 711 2 712 2 715 2 716 2 717 2 720 2 721 2 722 2 723 2 724 2 725 2 726 2 727 2 728 2 730 2 731 2 732 2 733 2 735 2 736 2 737 2 738 2 739 2 740 2 741 2 742 2 746 2 747 2 748 2 751 2 752 2 755 2 757 2 758 2 764 2 766 2 775 2 776 2 779 2 780 2 781 2 783 2 784 2 786 2 787 2 790 2 791 2 792 2 793 2 794 2 800 2 801 2 802 2 803 2 804 2 805 2 806 2 807 2 808 2 809 2 810 2 811 2 812 2 813 2 814 2 815 2 817 2 819 2 820 2 821 2 822 2 824 2 826 2 827 2 828 2 829 2 830 2 831 2 832 2 833 2 834 2 835 2 837 2 839 2 840 2 841 2 843 2 844 2 845 2 846 2 847 2 849 2 850 2 851 2 853 2 854 2 855 2 900 2 901 2 902 2 903 2 904 2 905 2 906 2 907 2 909 2 911 2 912 2 913 2 914 2 915 2 916 2 917 2 918 2 919 2 920 2 921 2 923 2 924 2 925 2 926 2 927 2 928 2 929 2 930 2 931 2 932 2 933 2 934 2 935 2 936 2 937 2 939 2 940 2 941 2 942 2 943 2 944 2 945 2 946 2 947 2 948 2 949 2 951 2 952 2 953 2 954 2 955 2 956 2 957 2 958 2 959 2 960 2 961 2 962 2 963 2 964 2 965 2 966 2 967 2 969 2 970 2 971 2 972 2 973 2 975 2 976 2 977 2 978 2 979 2 980 2 982 2 983 2 984 2 985 2 986 2 987 2 988 2 989 2 990 2 991 2 992 2 993 2 994 2 995 2 996 2 997 2 998 2 999 2 1000 2 1001 2 1003 2 1004 2 1005 2 1007 2 1008 2 1009 2 1010 2 1011 2 1012 2 1013 2 1014 2 1015 2 1016 2 1017 2 1019 2 1020 2 1021 2 1022 2 1023 2 1024 2 1025 2 1027 2 1028 2 1029 2 1031 2 1100 2 1101 2 1102 2 1104 2 1105 2 1106 2 1107 2 1108 2 1109 2 1110 2 1111 2 1113 2 1114 2 1115 2 1116 2 1117 2 1118 2 1119 2 1120 2 1121 2 1122 2 1123 2 1124 2 1125 2 1126 2 1127 2 1129 2 1130 2 1131 2 1132 2 1133 2 1134 2 1136 2 1137 2 1138 2 1139 2 1141 2 1142 2 1143 2 1144 2 1145 2 1146 2 1150 2 1151 2 1152 2 1153 2 1154 2 1155 2 1156 2 1157 2 1158 2 1159 2 1160 2 1161 2 1167 2 1168 2 1169 2 1170 2 1171 2 1173 2 1200 2 1201 2 1202 2 1203 2 1204 2 1205 2 1206 2 1207 2 1208 2 1209 2 1210 2 1211 2 1212 2 1214 2 1215 2 1216 2 1218 2 1219 2 1220 2 1221 2 1223 2 1225 2 1227 2 1228 2 1229 2 1230 2 1231 2 1232 2 1234 2 1235 2 1236 2 1237 2 1239 2 1240 2 1241 2 1242 2 1243 2 1244 2 1245 2 1246 2 1247 2 1248 2 1249 2 1250 2 1251 2 1252 2 1253 2 1254 2 1255 2 1257 2 1259 2 1261 2 1263 2 1264 2 1265 2 1266 2 1269 2 1270 2 1271 2 1272 2 1273 2 1274 2 1275 2 1276 2 1277 2 1278 2 1279 2 1280 2 1281 2 1282 2 1283 2 1284 2 1285 2 8043 2 9012 2 9019 2 9134 2 9166 2 9210 2 9212 2 9225 2 9240 2 9265 2 9518 2 9653 2 9694 2 Respondent ID Respondent ID 1556 0 1 1294 2 210 3 36 4 8 5 4 6 2 7 2 Day of interview Date of Interview. Day. 1556 0 1 31 15.915 8.726 1 28 2 58 3 42 4 56 5 50 6 62 7 60 8 32 9 58 10 56 11 44 12 52 13 60 14 60 15 44 16 60 17 44 18 42 19 58 20 54 21 56 22 68 23 36 24 32 25 38 26 58 27 46 28 68 29 54 30 62 31 18 Month of interview Date of Interview. Month. 1556 0 1 2 3 208 4 390 5 300 6 260 7 280 8 116 Year of interview Date of Interview. Year. 1556 0 2004 1556 Shambas farmed by members in past 12 months The household head How many shambas/gardens were farmed (individually or collectively) by you or members of your household in the past 12 months? Shambas. Include shambas/gardens that were rented and also shambas/gardens that were left fallow. 1556 0 0 98 2.425 6.023 Gardens farmed by members in past 12 months The household head How many shambas/gardens were farmed (individually or collectively) by you or members of your household in the past 12 months? Gardens. 1556 0 0 98 1.307 6.975 Count of plots 1556 0 Count of crop 1556 0 The household head. Now I would like to ask you when you sold your main crops, and how much you received. Major Crop Code Refer to question 4a in Section B. List the two major crops (by value). Start by asking about the major crop and listing all sales, then do the same for the second major crop. Ask for the five most recent sales, even if some of them were several years ago. 757 799 1 Maize 499 2 Wheat 8 3 Millet or sorghum 4 4 Rice 0 5 Beans, peas, cowpeas, other pulses 108 6 Cabbage 10 7 Sukuma wiki 31 8 Spinach 0 9 Yams or Sweet potatoes 1 10 Irish potatoes 11 11 Cassava 0 12 Groundnuts 0 13 Sunflower seeds 0 14 Tomatoes 6 15 Onions, leeks 0 16 Eggplant 0 17 Carrots 1 18 Capsicums/Green Peppers 1 19 Chillies 0 20 Coffee 0 21 Tea 30 22 Tobacco 3 23 Cotton 0 24 Lumber, wood 0 25 Oil palm/palm oil 0 26 Honey or Sugarcane 1 27 Avocado 3 28 Bananas 15 29 Mangoes 0 30 Oranges/Citrus fruits 0 31 Pineapple 1 32 Sugarcane 3 33 Other fruits (specify) 0 34 Other vegetables (specify) 21 Sysmiss 799 Month of sale 1 The household head. Date of Sale. Month. 756 800 1 167 2 83 3 42 4 34 5 17 6 23 7 17 8 17 9 23 10 32 11 30 12 271 98 Missing 0 99 Don't Know 0 Sysmiss 800 Year of sale 1 The household head. Date of Sale. Year. 758 798 99 Don't Know 0 2000 1 2001 84 2002 64 2003 319 2004 290 Sysmiss 798 Quantity sold 1 The household head. Quantity Sold. Quantity. 758 798 1 999 51.964 154.34 The household head. Quantity Sold. Crop unit code. 751 805 1 32 2 37 3 42 4 1 5 32 6 589 7 16 8 2 Sysmiss 805 Amount received per unit 1 The household head. Amount received per month. 756 800 3 9600 920.267 744.82 Total received 1 The household head. Total received. 757 799 50 900000 20183.355 56791.019 Month of sale 2 The household head. Date of Sale. Month. 500 1056 1 129 2 52 3 31 4 15 5 15 6 9 7 9 8 10 9 10 10 16 11 6 12 198 98 Missing 0 99 Don't Know 0 Sysmiss 1056 Year of sale 2 The household head. Date of Sale. Year. 500 1056 99 Don't Know 0 2000 1 2001 21 2002 231 2003 177 2004 70 Sysmiss 1056 Quantity sold 2 The household head. Quantity Sold. Quantity. 500 1056 1 999 62.542 176.893 The household head. Quantity Sold. Crop unit code. 499 1057 1 26 2 15 3 11 4 1 5 14 6 423 7 9 Sysmiss 1057 Amount received per unit 2 The household head. Amount received per month. 500 1056 5 10000 900.668 766.817 Total received 2 The household head. Total received. 499 1057 50 800000 25302.499 67765.386 Month of sale 3 The household head. Date of Sale. Month. 334 1222 1 84 2 45 3 16 4 14 5 6 6 7 7 5 8 4 9 7 10 6 11 8 12 130 98 Missing 1 99 Don't Know 1 Sysmiss 1222 Year of sale 3 The household head. Date of Sale. Year. 334 1222 99 Don't Know 0 1999 1 2000 6 2001 75 2002 120 2003 104 2004 28 Sysmiss 1222 Quantity sold 3 The household head. Quantity Sold. Quantity. 334 1222 1 999 74.096 187.858 The household head. Quantity Sold. Crop unit code. 332 1224 1 21 2 11 3 10 4 1 5 10 6 271 7 7 8 1 Sysmiss 1224 Amount received per unit 3 The household head. Amount received per month. 334 1222 5 4000 810.362 497.49 Total received 3 The household head. Total received. 334 1222 50 1040000 28942.877 73124.866 Month of sale 4 The household head. Date of Sale. Month. 99 1457 1 35 2 17 3 6 4 1 5 2 6 3 7 2 8 2 9 1 10 2 11 6 12 22 98 Missing 0 99 Don't Know 0 Sysmiss 1457 Year of sale 4 The household head. Date of Sale. Year. 100 1456 99 Don't Know 0 1997 1 1999 2 2000 14 2001 26 2002 24 2003 24 2004 9 Sysmiss 1456 Quantity sold 4 The household head. Quantity Sold. Quantity. 98 1458 1 999 74.306 140.72 The household head. Quantity Sold. Crop unit code. 98 1458 1 12 2 2 3 1 5 5 6 73 7 5 Sysmiss 1458 Amount received per unit 4 The household head. Amount received per month. 100 1456 5 1800 658.32 420.969 Total received 4 The household head. Total received. 98 1458 100 300000 27462.5 42216.059 Month of sale 5 The household head. Date of Sale. Month. 59 1497 1 18 2 6 3 5 4 1 5 4 8 1 10 4 11 3 12 17 98 Missing 0 99 Don't Know 0 Sysmiss 1497 Year of sale 5 The household head. Date of Sale. Year. 60 1496 99 Don't Know 0 1999 8 2000 9 2001 14 2002 13 2003 10 2004 6 Sysmiss 1496 Quantity sold 5 The household head. Quantity Sold. Quantity. 58 1498 3 600 75.414 121.294 The household head. Quantity Sold. Crop unit code. 57 1499 1 11 5 2 6 40 7 4 Sysmiss 1499 Amount received per unit 5 The household head. Amount received per month. 60 1496 5 1400 574.433 430.477 Total received 5 The household head. Total received. 58 1498 200 120000 18451.121 23781.996 Agriculture HH head module 5446 0 1 Yes 5446 2 No 0 Household ID Household ID 5446 0 1 9694 803.359 1153.744 1 7 3 7 4 7 5 7 6 7 7 7 8 7 9 7 10 7 11 7 12 7 13 7 14 7 15 7 16 7 17 7 18 7 19 7 20 7 21 7 22 7 23 7 24 7 25 7 26 7 27 7 28 7 29 7 30 7 31 7 32 7 33 7 34 7 35 7 38 7 39 7 41 7 43 7 44 7 46 7 47 7 48 7 49 7 50 7 53 7 55 7 58 7 60 7 62 7 64 7 65 7 66 7 67 7 68 7 69 7 70 7 73 7 74 7 75 7 76 7 77 7 80 7 82 7 84 7 89 7 93 7 94 7 95 7 97 7 98 7 99 7 102 7 103 7 106 7 108 7 109 7 110 7 111 7 112 7 113 7 114 7 115 7 117 7 120 7 121 7 123 7 128 7 150 7 151 7 152 7 154 7 155 7 156 7 158 7 161 7 162 7 163 7 164 7 165 7 166 7 167 7 168 7 169 7 171 7 172 7 174 7 200 7 201 7 202 7 203 7 204 7 205 7 206 7 207 7 208 7 209 7 210 7 211 7 212 7 213 7 216 7 217 7 218 7 221 7 222 7 223 7 250 7 251 7 252 7 253 7 254 7 255 7 256 7 257 7 258 7 259 7 260 7 261 7 262 7 263 7 264 7 265 7 266 7 267 7 268 7 269 7 273 7 274 7 275 7 276 7 277 7 278 7 279 7 280 7 281 7 282 7 300 7 301 7 302 7 303 7 304 7 305 7 306 7 307 7 309 7 310 7 311 7 312 7 313 7 314 7 315 7 316 7 317 7 318 7 350 7 351 7 352 7 353 7 354 7 355 7 356 7 357 7 358 7 359 7 360 7 361 7 362 7 363 7 364 7 365 7 366 7 368 7 369 7 372 7 400 7 401 7 402 7 403 7 404 7 405 7 406 7 407 7 409 7 410 7 411 7 412 7 415 7 417 7 418 7 419 7 420 7 421 7 422 7 423 7 424 7 425 7 426 7 427 7 428 7 429 7 430 7 431 7 434 7 436 7 438 7 450 7 451 7 452 7 453 7 454 7 455 7 456 7 457 7 458 7 459 7 460 7 461 7 462 7 463 7 464 7 465 7 466 7 467 7 468 7 469 7 470 7 473 7 475 7 476 7 478 7 479 7 480 7 481 7 482 7 483 7 484 7 485 7 486 7 487 7 488 7 489 7 490 7 500 7 501 7 502 7 504 7 505 7 506 7 507 7 508 7 509 7 510 7 511 7 512 7 513 7 514 7 515 7 516 7 518 7 519 7 520 7 521 7 522 7 523 7 524 7 525 7 526 7 527 7 528 7 529 7 530 7 531 7 532 7 533 7 534 7 535 7 537 7 538 7 539 7 540 7 541 7 542 7 543 7 544 7 545 7 546 7 547 7 548 7 549 7 550 7 551 7 552 7 554 7 556 7 557 7 559 7 560 7 562 7 563 7 564 7 565 7 566 7 568 7 580 7 581 7 582 7 585 7 587 7 588 7 589 7 590 7 591 7 593 7 594 7 595 7 597 7 598 7 599 7 600 7 601 7 603 7 604 7 605 7 606 7 607 7 608 7 609 7 610 7 611 7 612 7 615 7 616 7 617 7 618 7 619 7 620 7 621 7 622 7 623 7 624 7 625 7 626 7 627 7 628 7 630 7 632 7 633 7 634 7 635 7 637 7 639 7 640 7 652 7 653 7 656 7 658 7 660 7 663 7 665 7 666 7 667 7 670 7 671 7 673 7 674 7 675 7 676 7 677 7 678 7 679 7 680 7 681 7 682 7 683 7 686 7 687 7 688 7 689 7 690 7 691 7 692 7 693 7 694 7 696 7 697 7 698 7 699 7 700 7 701 7 702 7 703 7 706 7 707 7 708 7 709 7 710 7 711 7 712 7 715 7 716 7 717 7 720 7 721 7 722 7 723 7 724 7 725 7 726 7 727 7 728 7 730 7 731 7 732 7 733 7 735 7 736 7 737 7 738 7 739 7 740 7 741 7 742 7 746 7 747 7 748 7 751 7 752 7 755 7 757 7 758 7 764 7 766 7 775 7 776 7 779 7 780 7 781 7 783 7 784 7 786 7 787 7 790 7 791 7 792 7 793 7 794 7 800 7 801 7 802 7 803 7 804 7 805 7 806 7 807 7 808 7 809 7 810 7 811 7 812 7 813 7 814 7 815 7 817 7 819 7 820 7 821 7 822 7 824 7 826 7 827 7 828 7 829 7 830 7 831 7 832 7 833 7 834 7 835 7 837 7 839 7 840 7 841 7 843 7 844 7 845 7 846 7 847 7 849 7 850 7 851 7 853 7 854 7 855 7 900 7 901 7 902 7 903 7 904 7 905 7 906 7 907 7 909 7 911 7 912 7 913 7 914 7 915 7 916 7 917 7 918 7 919 7 920 7 921 7 923 7 924 7 925 7 926 7 927 7 928 7 929 7 930 7 931 7 932 7 933 7 934 7 935 7 936 7 937 7 939 7 940 7 941 7 942 7 943 7 944 7 945 7 946 7 947 7 948 7 949 7 951 7 952 7 953 7 954 7 955 7 956 7 957 7 958 7 959 7 960 7 961 7 962 7 963 7 964 7 965 7 966 7 967 7 969 7 970 7 971 7 972 7 973 7 975 7 976 7 977 7 978 7 979 7 980 7 982 7 983 7 984 7 985 7 986 7 987 7 988 7 989 7 990 7 991 7 992 7 993 7 994 7 995 7 996 7 997 7 998 7 999 7 1000 7 1001 7 1003 7 1004 7 1005 7 1007 7 1008 7 1009 7 1010 7 1011 7 1012 7 1013 7 1014 7 1015 7 1016 7 1017 7 1019 7 1020 7 1021 7 1022 7 1023 7 1024 7 1025 7 1027 7 1028 7 1029 7 1031 7 1100 7 1101 7 1102 7 1104 7 1105 7 1106 7 1107 7 1108 7 1109 7 1110 7 1111 7 1113 7 1114 7 1115 7 1116 7 1117 7 1118 7 1119 7 1120 7 1121 7 1122 7 1123 7 1124 7 1125 7 1126 7 1127 7 1129 7 1130 7 1131 7 1132 7 1133 7 1134 7 1136 7 1137 7 1138 7 1139 7 1141 7 1142 7 1143 7 1144 7 1145 7 1146 7 1150 7 1151 7 1152 7 1153 7 1154 7 1155 7 1156 7 1157 7 1158 7 1159 7 1160 7 1161 7 1167 7 1168 7 1169 7 1170 7 1171 7 1173 7 1200 7 1201 7 1202 7 1203 7 1204 7 1205 7 1206 7 1207 7 1208 7 1209 7 1210 7 1211 7 1212 7 1214 7 1215 7 1216 7 1218 7 1219 7 1220 7 1221 7 1223 7 1225 7 1227 7 1228 7 1229 7 1230 7 1231 7 1232 7 1234 7 1235 7 1236 7 1237 7 1239 7 1240 7 1241 7 1242 7 1243 7 1244 7 1245 7 1246 7 1247 7 1248 7 1249 7 1250 7 1251 7 1252 7 1253 7 1254 7 1255 7 1257 7 1259 7 1261 7 1263 7 1264 7 1265 7 1266 7 1269 7 1270 7 1271 7 1272 7 1273 7 1274 7 1275 7 1276 7 1277 7 1278 7 1279 7 1280 7 1281 7 1282 7 1283 7 1284 7 1285 7 8043 7 9012 7 9019 7 9134 7 9166 7 9210 7 9212 7 9225 7 9240 7 9265 7 9518 7 9653 7 9694 7 Respondent ID Respondent ID 5446 0 1 4529 2 735 3 126 4 28 5 14 6 7 7 7 Day of interview Date of Interview. Day. 5446 0 1 31 15.915 8.724 1 98 2 203 3 147 4 196 5 175 6 217 7 210 8 112 9 203 10 196 11 154 12 182 13 210 14 210 15 154 16 210 17 154 18 147 19 203 20 189 21 196 22 238 23 126 24 112 25 133 26 203 27 161 28 238 29 189 30 217 31 63 Month of interview Date of Interview. Month. 5446 0 1 7 3 728 4 1365 5 1050 6 910 7 980 8 406 Year of interview Date of Interview. Year. 5446 0 2004 5446 Shambas farmed by members in past 12 months The household head How many shambas/gardens were farmed (individually or collectively) by you or members of your household in the past 12 months? Shambas. Include shambas/gardens that were rented and also shambas/gardens that were left fallow. 5446 0 0 98 2.425 6.022 Gardens farmed by members in past 12 months The household head How many shambas/gardens were farmed (individually or collectively) by you or members of your household in the past 12 months? Gardens. 5446 0 0 98 1.307 6.974 Count of plots 5446 0 Count of crop 5446 0 Input number The household head. Input Number 5446 0 1 Hired labor 778 2 Seeds 778 3 Manure 778 4 Fertilizer 778 5 Pesticides 778 6 Transportation 778 7 Other expenses associated with crop production 778 Have used The household head. If answer is 2 > Go to next question. 5446 0 1 Yes 2848 2 No 2568 8 30 Amount spend The household head. How much did you spend on [INPUT] in the past 12 months? 2878 2568 15 180000 3755.62 8592.364 Agriculture HH head module 778 0 1 Yes 778 2 No 0 Household ID Household ID 778 0 1 9694 803.359 1154.38 1 1 3 1 4 1 5 1 6 1 7 1 8 1 9 1 10 1 11 1 12 1 13 1 14 1 15 1 16 1 17 1 18 1 19 1 20 1 21 1 22 1 23 1 24 1 25 1 26 1 27 1 28 1 29 1 30 1 31 1 32 1 33 1 34 1 35 1 38 1 39 1 41 1 43 1 44 1 46 1 47 1 48 1 49 1 50 1 53 1 55 1 58 1 60 1 62 1 64 1 65 1 66 1 67 1 68 1 69 1 70 1 73 1 74 1 75 1 76 1 77 1 80 1 82 1 84 1 89 1 93 1 94 1 95 1 97 1 98 1 99 1 102 1 103 1 106 1 108 1 109 1 110 1 111 1 112 1 113 1 114 1 115 1 117 1 120 1 121 1 123 1 128 1 150 1 151 1 152 1 154 1 155 1 156 1 158 1 161 1 162 1 163 1 164 1 165 1 166 1 167 1 168 1 169 1 171 1 172 1 174 1 200 1 201 1 202 1 203 1 204 1 205 1 206 1 207 1 208 1 209 1 210 1 211 1 212 1 213 1 216 1 217 1 218 1 221 1 222 1 223 1 250 1 251 1 252 1 253 1 254 1 255 1 256 1 257 1 258 1 259 1 260 1 261 1 262 1 263 1 264 1 265 1 266 1 267 1 268 1 269 1 273 1 274 1 275 1 276 1 277 1 278 1 279 1 280 1 281 1 282 1 300 1 301 1 302 1 303 1 304 1 305 1 306 1 307 1 309 1 310 1 311 1 312 1 313 1 314 1 315 1 316 1 317 1 318 1 350 1 351 1 352 1 353 1 354 1 355 1 356 1 357 1 358 1 359 1 360 1 361 1 362 1 363 1 364 1 365 1 366 1 368 1 369 1 372 1 400 1 401 1 402 1 403 1 404 1 405 1 406 1 407 1 409 1 410 1 411 1 412 1 415 1 417 1 418 1 419 1 420 1 421 1 422 1 423 1 424 1 425 1 426 1 427 1 428 1 429 1 430 1 431 1 434 1 436 1 438 1 450 1 451 1 452 1 453 1 454 1 455 1 456 1 457 1 458 1 459 1 460 1 461 1 462 1 463 1 464 1 465 1 466 1 467 1 468 1 469 1 470 1 473 1 475 1 476 1 478 1 479 1 480 1 481 1 482 1 483 1 484 1 485 1 486 1 487 1 488 1 489 1 490 1 500 1 501 1 502 1 504 1 505 1 506 1 507 1 508 1 509 1 510 1 511 1 512 1 513 1 514 1 515 1 516 1 518 1 519 1 520 1 521 1 522 1 523 1 524 1 525 1 526 1 527 1 528 1 529 1 530 1 531 1 532 1 533 1 534 1 535 1 537 1 538 1 539 1 540 1 541 1 542 1 543 1 544 1 545 1 546 1 547 1 548 1 549 1 550 1 551 1 552 1 554 1 556 1 557 1 559 1 560 1 562 1 563 1 564 1 565 1 566 1 568 1 580 1 581 1 582 1 585 1 587 1 588 1 589 1 590 1 591 1 593 1 594 1 595 1 597 1 598 1 599 1 600 1 601 1 603 1 604 1 605 1 606 1 607 1 608 1 609 1 610 1 611 1 612 1 615 1 616 1 617 1 618 1 619 1 620 1 621 1 622 1 623 1 624 1 625 1 626 1 627 1 628 1 630 1 632 1 633 1 634 1 635 1 637 1 639 1 640 1 652 1 653 1 656 1 658 1 660 1 663 1 665 1 666 1 667 1 670 1 671 1 673 1 674 1 675 1 676 1 677 1 678 1 679 1 680 1 681 1 682 1 683 1 686 1 687 1 688 1 689 1 690 1 691 1 692 1 693 1 694 1 696 1 697 1 698 1 699 1 700 1 701 1 702 1 703 1 706 1 707 1 708 1 709 1 710 1 711 1 712 1 715 1 716 1 717 1 720 1 721 1 722 1 723 1 724 1 725 1 726 1 727 1 728 1 730 1 731 1 732 1 733 1 735 1 736 1 737 1 738 1 739 1 740 1 741 1 742 1 746 1 747 1 748 1 751 1 752 1 755 1 757 1 758 1 764 1 766 1 775 1 776 1 779 1 780 1 781 1 783 1 784 1 786 1 787 1 790 1 791 1 792 1 793 1 794 1 800 1 801 1 802 1 803 1 804 1 805 1 806 1 807 1 808 1 809 1 810 1 811 1 812 1 813 1 814 1 815 1 817 1 819 1 820 1 821 1 822 1 824 1 826 1 827 1 828 1 829 1 830 1 831 1 832 1 833 1 834 1 835 1 837 1 839 1 840 1 841 1 843 1 844 1 845 1 846 1 847 1 849 1 850 1 851 1 853 1 854 1 855 1 900 1 901 1 902 1 903 1 904 1 905 1 906 1 907 1 909 1 911 1 912 1 913 1 914 1 915 1 916 1 917 1 918 1 919 1 920 1 921 1 923 1 924 1 925 1 926 1 927 1 928 1 929 1 930 1 931 1 932 1 933 1 934 1 935 1 936 1 937 1 939 1 940 1 941 1 942 1 943 1 944 1 945 1 946 1 947 1 948 1 949 1 951 1 952 1 953 1 954 1 955 1 956 1 957 1 958 1 959 1 960 1 961 1 962 1 963 1 964 1 965 1 966 1 967 1 969 1 970 1 971 1 972 1 973 1 975 1 976 1 977 1 978 1 979 1 980 1 982 1 983 1 984 1 985 1 986 1 987 1 988 1 989 1 990 1 991 1 992 1 993 1 994 1 995 1 996 1 997 1 998 1 999 1 1000 1 1001 1 1003 1 1004 1 1005 1 1007 1 1008 1 1009 1 1010 1 1011 1 1012 1 1013 1 1014 1 1015 1 1016 1 1017 1 1019 1 1020 1 1021 1 1022 1 1023 1 1024 1 1025 1 1027 1 1028 1 1029 1 1031 1 1100 1 1101 1 1102 1 1104 1 1105 1 1106 1 1107 1 1108 1 1109 1 1110 1 1111 1 1113 1 1114 1 1115 1 1116 1 1117 1 1118 1 1119 1 1120 1 1121 1 1122 1 1123 1 1124 1 1125 1 1126 1 1127 1 1129 1 1130 1 1131 1 1132 1 1133 1 1134 1 1136 1 1137 1 1138 1 1139 1 1141 1 1142 1 1143 1 1144 1 1145 1 1146 1 1150 1 1151 1 1152 1 1153 1 1154 1 1155 1 1156 1 1157 1 1158 1 1159 1 1160 1 1161 1 1167 1 1168 1 1169 1 1170 1 1171 1 1173 1 1200 1 1201 1 1202 1 1203 1 1204 1 1205 1 1206 1 1207 1 1208 1 1209 1 1210 1 1211 1 1212 1 1214 1 1215 1 1216 1 1218 1 1219 1 1220 1 1221 1 1223 1 1225 1 1227 1 1228 1 1229 1 1230 1 1231 1 1232 1 1234 1 1235 1 1236 1 1237 1 1239 1 1240 1 1241 1 1242 1 1243 1 1244 1 1245 1 1246 1 1247 1 1248 1 1249 1 1250 1 1251 1 1252 1 1253 1 1254 1 1255 1 1257 1 1259 1 1261 1 1263 1 1264 1 1265 1 1266 1 1269 1 1270 1 1271 1 1272 1 1273 1 1274 1 1275 1 1276 1 1277 1 1278 1 1279 1 1280 1 1281 1 1282 1 1283 1 1284 1 1285 1 8043 1 9012 1 9019 1 9134 1 9166 1 9210 1 9212 1 9225 1 9240 1 9265 1 9518 1 9653 1 9694 1 Respondent ID Respondent ID 778 0 1 647 2 105 3 18 4 4 5 2 6 1 7 1 Day of interview Date of Interview. Day. 778 0 1 31 15.915 8.729 1 14 2 29 3 21 4 28 5 25 6 31 7 30 8 16 9 29 10 28 11 22 12 26 13 30 14 30 15 22 16 30 17 22 18 21 19 29 20 27 21 28 22 34 23 18 24 16 25 19 26 29 27 23 28 34 29 27 30 31 31 9 Month of interview Date of Interview. Month. 778 0 1 1 3 104 4 195 5 150 6 130 7 140 8 58 Year of interview Date of Interview. Year. 778 0 2004 778 Shambas farmed by members in past 12 months The household head How many shambas/gardens were farmed (individually or collectively) by you or members of your household in the past 12 months? Shambas. Include shambas/gardens that were rented and also shambas/gardens that were left fallow. 778 0 0 98 2.425 6.025 Gardens farmed by members in past 12 months The household head How many shambas/gardens were farmed (individually or collectively) by you or members of your household in the past 12 months? Gardens. 778 0 0 98 1.307 6.978 Count of plots 778 0 Count of crop 778 0 Any worked on shamba without being paid The household head In the past 12 months, has anyone worked on your shambas/gardens without being paid? If answer is 2 > Go to section E2 (agrhee1 - variable name in dataset). 778 0 1 Yes 117 2 No 660 8 1 Count of persons 118 660 Ever been visited by Agriculture extension worker in past 12 The household head Have you been visited by or have you spoken with an agricultural extension worker in the past 12 months? 778 0 1 Yes 78 2 No 698 8 2 Have worked at HAAT & Harvest Initiative in Mosoriot in last The household head Have you worked at the “HAART and Harvest Initiative” farm (shamba mzungu) in Mosoriot in the last 12 months? If answer is 2 > End section. 778 0 1 Yes 13 2 No 763 8 2 Month started working at the firm The household head When did you start working at this farm? Month. 15 763 1 99 37.4 44.64 1 1 2 1 4 2 6 2 11 1 12 3 98 4 99 1 Sysmiss 763 Year started working at the firm The household head When did you start working at this farm? Year. 14 764 98 2004 1727.071 690.303 98 2 1952 1 2002 3 2003 7 2004 1 Sysmiss 764 How long have worked at the firm The household head For how long have you worked at this farm? [Number of days] 15 763 3 999 176.933 269.972 What learn from working at the firm The household head What did you learn from working at this farm? 15 0 98 3 BEING GOOD FARMER 1 CARE FOR ANIMAL&CROP 1 COUNSELLING/FOOD HIV 1 GROW NAPPIER GRASS 1 HARD WORK PAYS 1 HIV POSITIVE NUT PRA 1 LIVE WITH HIV PEOPLE 1 LOVE&CARE TO HIV PPL 1 NUTRITION FOR HEALTH 1 PROPER FEEDING 1 PWA NEED LOVE & CARE 1 REAR CHICKEN ZERO GR 1 Agriculture HH head module 215 0 1 Yes 215 2 No 0 Household ID Household ID 215 0 9 1270 656.74 348.654 9 1 27 4 28 1 29 2 46 1 55 2 62 2 69 1 102 2 110 1 111 3 151 4 171 2 257 1 260 2 264 1 265 2 269 1 275 1 309 1 317 1 351 1 355 1 403 1 410 3 415 1 422 1 424 3 428 3 454 1 460 1 468 2 469 3 470 1 473 2 479 2 482 2 483 2 485 1 502 1 510 3 522 3 526 4 527 4 529 5 533 4 545 1 548 3 551 2 552 1 565 2 601 3 603 2 607 3 620 3 621 1 623 3 634 1 653 2 656 2 658 1 671 2 678 1 679 1 680 2 681 2 691 3 693 3 700 2 702 2 703 2 707 1 721 1 726 2 732 1 742 1 757 1 764 1 781 2 837 2 849 1 850 1 902 1 915 2 937 1 947 2 967 1 969 1 975 2 990 1 1003 1 1020 2 1024 3 1100 1 1107 2 1111 4 1118 1 1122 1 1125 2 1127 3 1129 1 1137 1 1138 3 1141 2 1145 1 1154 1 1158 1 1221 3 1236 1 1239 2 1242 2 1244 1 1248 2 1252 1 1257 4 1269 1 1270 2 Respondent ID Respondent ID 215 0 1 194 2 19 3 2 Day of interview Date of Interview. Day. 215 0 1 31 17.726 8.737 1 6 2 1 3 3 4 8 5 6 6 10 7 8 9 2 10 9 11 6 12 7 13 1 14 10 15 10 16 8 17 3 18 3 19 15 20 8 21 12 22 15 23 4 26 13 27 4 28 9 29 16 30 17 31 1 Month of interview Date of Interview. Month. 215 0 3 20 4 88 5 32 6 23 7 42 8 10 Year of interview Date of Interview. Year. 215 0 2004 215 Shambas farmed by members in past 12 months The household head How many shambas/gardens were farmed (individually or collectively) by you or members of your household in the past 12 months? Shambas. Include shambas/gardens that were rented and also shambas/gardens that were left fallow. 215 0 0 5 2.326 0.94 Gardens farmed by members in past 12 months The household head How many shambas/gardens were farmed (individually or collectively) by you or members of your household in the past 12 months? Gardens. 215 0 0 3 0.684 0.643 Count of plots 215 0 Count of crop 215 0 Person number The household head Person Number For Question 2, write the IRID code of the person who helped on the shamba or garden. 215 0 1 117 2 63 3 26 4 8 5 1 IRID Code of person who helped The household head IRID Code or person who helped 215 0 03 2 04 3 05 3 06 2 07 4 08 5 09 1 10 3 11 2 17 1 R01 75 R02 52 R03 27 R04 14 R05 10 R06 8 R07 3 Days person worked in past 12 months The household head In the past 12 months, for how many days did this person work on your shambas/gardens? In Question 4, ask how many days in the past 12 months did the person work on the shambas or gardens. 215 0 1 180 14.981 21.519 Agriculture Spouse module 1337 0 1 Yes 1337 2 No 0 Household ID Household ID 1337 0 3 9667 855.976 1455.373 Respondent ID Respondent ID 1337 0 2 1332 3 5 Day of interview Date of Interview. Day. 1337 0 1 31 16.267 8.802 1 31 2 21 3 43 4 56 5 71 6 33 7 41 8 39 9 26 10 59 11 27 12 26 13 53 14 49 15 48 16 69 17 40 18 26 19 66 20 54 21 43 22 42 23 24 24 31 25 18 26 64 27 41 28 72 29 43 30 61 31 20 Month of interview Date of Interview. Month. 1337 0 2 6 3 227 4 407 5 262 6 92 7 242 8 101 Year of interview Date of Interview. Year. 1337 0 2004 1337 Count of crop 1337 0 Crop code The spouse Now I would like to ask you about the crops that you yourself were responsible for selling or preparing for home consumption. If your spouse sold the crops from a specific shamba or garden, do not include those crops. Include all fruits and vegetables. Crop Codes 1337 0 1 34 16.904 12.753 1 63 3 23 5 126 6 92 7 267 8 25 9 36 10 95 11 4 14 29 15 91 16 1 17 3 18 3 19 2 26 4 27 1 28 32 30 1 31 1 32 5 34 433 Quantity of crop hh produced during long & short rains in 20 The spouse How much quantity of [Crop] did your household produce (for sale and for home consumption) during the long and short rains seasons of 2003? Quantity. For the spouse, ask how much quantity of the crop she grew during these same seasons. 1337 0 0 250000 6794.39 16864.539 Quantity of crop hh produced during long & short rains in 20 The spouse How much quantity of [Crop] did your household produce (for sale and for home consumption) during the long and short rains seasons of 2003? Crop Unit Code. For the spouse, ask how much quantity of the crop she grew during these same seasons. 1326 11 1 Kilograms 5 2 Goro goros (2 Kgs.) 73 3 Debbes 171 4 Litres 0 5 Bunches 588 6 Bags/Sacks 396 7 Pieces 78 8 Tins 10 9 Dozens 0 10 3 98 2 Sysmiss 11 Quantity of crop hh sell after long & short rains in 2003 (Q The spouse How much quantity of [Crop] did your household sell during the long and short rains seasons of 2003? Quantity. 1337 0 0 200000 1577.375 9681.614 Quantity of crop hh sell after long & short rains in 2003 (C The spouse How much quantity of [Crop] did your household sell during the long and short rains seasons of 2003? Crop Unit Code. 389 948 1 Kilograms 0 2 Goro goros (2 Kgs.) 24 3 Debbes 44 4 Litres 2 5 Bunches 106 6 Bags/Sacks 159 7 Pieces 43 8 Tins 5 9 Dozens 0 10 1 98 5 Sysmiss 948 Income hh receive from selling the quantity of crop (Amount) The spouse How much income did your household receive from selling this quantity of [Crop]? TOTAL Amount in KSh. Total Amount from selling the quantity in 2 must be filled out -- but unit price and unit code are optional. 1337 0 0 39200 423.808 1947.027 Income hh receive from selling the quantity of crop (Unit pr The spouse How much income did your household receive from selling this quantity of [Crop]? Unit price. Total Amount from selling the quantity in 2 must be filled out -- but unit price and unit code are optional. 439 898 1 2800 225.226 365.662 Income hh receive from selling the quantity of crop (Crop un The spouse How much income did your household receive from selling this quantity of [Crop]? Crop Unit code. Total Amount from selling the quantity in 2 must be filled out -- but unit price and unit code are optional. 439 898 1 Kilograms 3 2 Goro goros (2 Kgs.) 32 3 Debbes 32 4 Litres 1 5 Bunches 104 6 Bags/Sacks 146 7 Pieces 41 8 Tins 4 9 Dozens 0 10 1 98 75 Sysmiss 898 Have any crop in storage The spouse Do you have any of the [Crop] in storage at the present? If answer is 2 > Go to 7 (agrsa7 - variable name in dataset). 1337 0 1 Yes 268 2 No 1063 8 6 If were to sell the stored quantity, what is amount would ge The spouse If you were to sell this stored quantity now, what is the amount you could get? Amount in KSh. Ask the respondent to use the current price for the crop being discussed to estimate the value of the stored quantity. 274 1063 20 30000 643.668 2315.92 Income hh receive from selling crop during long & short rain The spouse How much income did your household receive from selling [Crop] during the long and short rains seasons of 2002? Total Amount in KSh. 1337 0 0 44000 230.47 1682.225 Income hh receive from selling crop during long & short rain The spouse How much income did your household receive from selling [Crop] during the long and short rains seasons of 2001? Total Amount in KSh. 1337 0 0 40000 182.408 1472.176 Agriculture Spouse module 2646 0 1 Yes 2646 2 No 0 Household ID Household ID 2646 0 3 9667 838.214 1440.737 Respondent ID Respondent ID 2646 0 2 2632 3 14 Day of interview Date of Interview. Day. 2646 0 1 31 15.889 8.825 1 49 2 49 3 112 4 105 5 140 6 84 7 77 8 84 9 70 10 112 11 63 12 49 13 105 14 98 15 105 16 119 17 70 18 63 19 126 20 98 21 84 22 91 23 56 24 42 25 28 26 112 27 84 28 119 29 84 30 119 31 49 Month of interview Date of Interview. Month. 2646 0 2 14 3 483 4 847 5 504 6 175 7 406 8 217 Year of interview Date of Interview. Year. 2646 0 2004 2646 Count of crop 2646 0 Input number The spouse. Input Number 2646 0 1 Hired labor 378 2 Seeds 378 3 Manure 378 4 Fertilizer 378 5 Pesticides 378 6 Transportation 378 7 Other expenses associated with crop production 378 Have used The spouse. If answer is 2 > Go to next question. 2646 0 1 Yes 771 2 No 1872 8 3 Amount spend The spouse. How much did you spend on [INPUT] in the past 12 months? 774 1872 2 15000 515.888 1124.197 Agriculture Spouse module 378 0 1 Yes 378 2 No 0 Household ID Household ID 378 0 3 9667 838.214 1442.374 Respondent ID Respondent ID 378 0 2 376 3 2 Day of interview Date of Interview. Day. 378 0 1 31 15.889 8.835 1 7 2 7 3 16 4 15 5 20 6 12 7 11 8 12 9 10 10 16 11 9 12 7 13 15 14 14 15 15 16 17 17 10 18 9 19 18 20 14 21 12 22 13 23 8 24 6 25 4 26 16 27 12 28 17 29 12 30 17 31 7 Month of interview Date of Interview. Month. 378 0 2 2 3 69 4 121 5 72 6 25 7 58 8 31 Year of interview Date of Interview. Year. 378 0 2004 378 Count of crop 378 0 Any worked on shamba without being paid The spouse In the past 12 months, has anyone worked on your shambas/gardens without being paid? If answer is 2 > Go to section C2 (agrsce1 - variable name in dataset). 378 0 1 Yes 24 2 No 354 Count of persons The spouse 24 354 Ever been visited by Agriculture extension worker in past 12 The spouse Have you been visited by or have you spoken with an agricultural extension worker in the past 12 months? 378 0 1 Yes 32 2 No 346 Have worked at HAAT & Harvest Initiative in Mosoriot in last The spouse Have you worked at the “HAART and Harvest Initiative” farm (shamba mzungu) in Mosoriot in the last 12 months? If answer is 2 > End section. 378 0 1 Yes 1 2 No 377 Month started working at the firm The spouse When did you start working at this farm? Month. 1 377 5 1 Sysmiss 377 Year started working at the firm The spouse When did you start working at this farm? Year. 1 377 2004 1 Sysmiss 377 How long have worked at the firm The spouse For how long have you worked at this farm? [Number of days] 1 377 2 1 Sysmiss 377 What learn from working at the firm The spouse What did you learn from working this farm? 1 0 HOME BASED CARE 1 Agriculture Spouse module 38 0 1 Yes 38 2 No 0 Household ID Household ID 38 0 22 1202 586.342 352.489 Respondent ID Respondent ID 38 0 2 38 Day of interview Date of Interview. Day. 38 0 2 29 16.105 7.399 2 1 4 1 5 1 7 2 8 3 10 2 11 1 13 5 14 1 16 1 17 5 19 4 21 4 26 2 27 2 28 1 29 2 Month of interview Date of Interview. Month. 38 0 3 5 4 17 5 8 7 7 8 1 Year of interview Date of Interview. Year. 38 0 2004 38 Count of crop 38 0 Person number The spouse Person Number 38 0 1 24 2 9 3 4 4 1 IRID Code of person who helped The spouse IRID Code or person who helped 38 0 03 1 06 1 07 1 08 1 10 2 11 1 18 1 R01 3 R02 8 R03 4 R04 8 R05 2 R06 2 R07 1 R08 1 R09 1 Days person worked in past 12 months The spouse In the past 12 months, for how many days did this person work on your shambas/gardens? 38 0 1 120 11.368 19.839 Enterprises module 512 0 1 Yes 512 2 No 0 Household ID Household ID 512 0 1 9667 824.936 1439.792 1 2 4 3 5 1 6 1 8 1 10 1 11 1 12 2 13 1 16 2 17 1 19 1 22 2 23 1 25 2 27 1 28 1 29 3 30 1 32 2 38 1 47 1 48 1 49 1 51 1 56 1 58 1 60 1 61 1 62 1 64 2 67 2 68 1 69 2 70 1 73 1 75 2 76 1 78 1 80 2 82 3 84 1 89 1 99 1 104 1 109 4 112 1 115 2 117 2 124 1 125 2 128 1 150 1 151 1 152 2 154 1 155 1 156 4 158 2 162 1 164 1 165 2 166 1 169 1 170 1 171 1 173 1 174 1 202 1 204 1 205 2 206 1 208 1 210 4 212 1 213 1 216 1 217 2 221 1 222 1 253 2 258 1 260 1 261 5 262 2 263 1 264 1 266 3 269 1 275 1 276 1 277 1 279 2 280 3 281 1 282 2 300 1 301 2 304 1 306 2 309 4 310 1 312 1 313 2 314 2 315 1 316 1 318 2 352 1 353 1 354 1 356 1 357 1 360 1 361 1 362 4 364 1 366 1 368 1 369 1 400 1 403 2 404 1 406 1 409 1 410 3 411 1 412 3 415 2 417 3 418 1 421 1 428 1 429 1 430 1 431 1 436 3 438 1 452 1 456 2 457 1 458 1 459 1 460 1 467 1 470 2 476 1 477 1 480 2 482 1 483 1 486 1 500 1 501 1 507 1 513 1 514 1 520 2 522 1 524 1 527 1 528 1 529 1 530 1 533 1 539 1 540 2 542 1 551 3 552 1 554 1 560 1 565 1 566 1 568 1 580 1 582 1 588 1 593 1 597 1 599 1 601 2 604 2 605 1 610 1 616 4 618 1 625 1 626 1 640 1 658 1 660 1 665 1 670 1 671 3 673 1 674 1 675 2 678 1 680 1 687 1 689 1 690 1 693 1 699 1 700 1 701 1 702 2 703 1 706 1 707 1 710 1 715 2 716 2 717 1 720 1 721 1 724 2 725 1 728 1 731 1 732 1 736 2 741 1 746 1 751 2 757 1 758 1 764 1 766 1 776 1 779 1 781 1 783 1 790 1 793 2 794 1 800 1 801 1 806 1 807 2 808 1 813 1 816 1 823 1 825 1 826 1 828 1 829 1 835 1 838 2 841 1 842 1 843 1 846 1 848 1 850 1 852 1 853 1 900 1 902 1 903 1 907 1 909 1 912 1 913 1 914 2 916 1 918 3 919 1 922 2 927 1 929 1 930 1 933 1 940 2 942 2 948 1 949 1 953 1 956 1 957 1 958 1 959 1 960 1 962 1 963 1 966 1 969 1 970 1 973 1 974 1 975 3 976 1 979 1 983 1 984 2 986 1 990 2 991 1 992 1 993 2 995 3 996 1 1002 1 1004 1 1005 1 1006 1 1010 1 1012 1 1013 1 1017 1 1022 1 1025 1 1028 1 1030 1 1031 1 1100 1 1102 2 1104 2 1106 1 1108 1 1113 2 1123 1 1124 2 1130 2 1133 1 1136 1 1139 1 1141 2 1142 1 1145 1 1158 2 1160 1 1167 1 1171 1 1202 2 1203 1 1204 1 1206 1 1208 2 1211 1 1212 1 1215 2 1216 2 1218 1 1219 2 1221 1 1223 2 1225 1 1240 1 1241 2 1243 1 1245 1 1248 2 1249 1 1250 1 1251 2 1254 1 1255 2 1261 1 1265 2 1266 2 1269 1 1272 2 1273 1 1274 2 1275 1 1277 1 1280 2 1281 1 1283 1 1284 1 9166 1 9210 1 9212 2 9255 1 9275 1 9280 1 9518 1 9608 2 9616 1 9653 1 9667 1 Respondent ID Respondent ID 512 0 1 295 2 199 3 13 4 2 5 3 Day of interview Date of Interview. Day. 512 0 1 31 16.031 8.923 1 8 2 20 3 13 4 11 5 18 6 28 7 20 8 17 9 12 10 21 11 14 12 16 13 21 14 30 15 11 16 15 17 16 18 13 19 22 20 8 21 12 22 15 23 12 24 16 25 15 26 14 27 18 28 19 29 17 30 35 31 5 Month of interview Date of Interview. Month. 512 0 3 93 4 125 5 102 6 78 7 77 8 37 Year of interview Date of Interview. Year. 512 0 2004 512 Count of Section A 512 0 Business ID Either the household head or the spouse, whoever is best able to respond about each business. Now I would like to ask you about the trades, businesses, or other self-employed non-farm activities of members of your household. Please describe each business that has been managed or owned by members of your household since January 2000. Business ID 512 0 1 428 2 75 3 9 Business ID Either the household head or the spouse, whoever is best able to respond about each business. Now I would like to ask you about the trades, businesses, or other self-employed non-farm activities of members of your household. Please describe each business that has been managed or owned by members of your household since January 2000. Business ID 512 0 1 430 2 72 3 10 Business - Description Either the household head or the spouse, whoever is best able to respond about each business. Business Description. What type of business is this? What kind of trade or occupation is it connected with? Description. Write a description of the business (like duka in town, or restaurant in town, etc.) and an occupation code (like trader/merchant/salesperson, or restaurant/bar/hotel). 511 0 98 2 A TRADER 3 A/FEEDS 1 AGRO-CHEM 1 ALCOHOL 1 B S VEGES 1 B&S BANANA 1 B&S BEANS 1 B&S CATTLE 3 B&S CHICK 1 B&S CLOTHS 2 B&S COAL 1 B&S COWS 2 B&S FISH 1 B&S GOODS 1 B&S MAIZE 11 B&S MILK 5 B&S POTATO 1 B&S SHOES 1 B&S VEG 3 B&S VEGES 5 B/S BEANS 1 B/S CABBAG 1 B/S CATTLE 3 B/S CLOTH 1 B/S CLOTHS 1 B/S EGGS 4 B/S FRUITS 3 B/S GOODS 1 B/S MAIZE 7 B/S MILK 3 B/S OIL 1 B/S SHEEP 1 B/S SODAS 1 B/S TIMBER 2 B/S VEG 3 B/S VEGES 10 B/SCHICKEN 1 BAKING 1 BAR 1 BARBER 1 BAT CHARGE 1 BODABODA 4 BOOKSHOP 1 BOUTIQUE 2 BREAD 1 BREWING 26 BRICK BUSS 1 BRICK MAKE 1 BUSAA 1 BUTCHER 1 BUTCHERY 4 B\S CLOTHE 1 CAPENTER 1 CARPENTER 1 CARPENTRY 3 CHANGAA 6 CHARCOAL 14 CHARCOAL B 1 CHARCOAL/D 1 CHEMIST 1 CHICKEN 4 CLOTHES 1 COM/SEX 1 CONSTRUCT 1 CONTRACT 1 COOKS FOOD 1 CUT TIMBER 1 DAIRYKIOSK 1 DE/TIMBER 1 DEALER 1 DISTRIBUTO 1 DUKA 5 ELECTRICIA 2 FOODKIOSK 1 GROCERY 2 HAIR DRESS 1 HARDWARE 4 HERBALIST 1 HIDE/D 1 HOTEL 8 KINYOZI 2 KIOSK 33 LANDLORD 2 LIVESTOCK 2 LUMBERING 1 M WORKSHOP 1 M/SELLER 3 M/TRADER 2 MAIZE TRAD 1 MAKE MATS 1 MAKE NDAZI 1 MANDAZI 1 MATATU 2 MECHANIC 1 MILK 2 MILK TRADE 2 MILKSELLER 1 MILKSUPPLY 1 MILKVENDER 1 MILKVENDOR 3 MITUMBA 5 MK SAMOSA 1 NEWSPAPER 1 PHOTOGRAPH 1 PLAITING 1 PLOUGHING 3 POSHO MILL 7 POSHOMILL 2 POSHOMILLS 1 R/VENDOR 1 RENT HOUSE 2 RENTAL HSE 1 RETAIL 2 RETAILER 1 RETAILSHOP 2 ROASTMAIZE 1 RUNS KIOSK 3 S CEREALS 1 S KIOSK 1 S LIVESTOC 1 S MATERIAL 1 S PORRIDGE 1 S SAMOSA 2 S SAMOSAS 1 S TIMBER 2 S/FRUITS 1 S/KAIMATI 1 S/MILK 2 S/PARAFFIN 1 S/SAMOSA 1 S/TRADER 1 S/VEGES 2 SALESMAN 2 SALON 1 SALONIST 1 SALOONIST 1 SAMOSASALE 1 SCHOOL 1 SEL FRUITS 1 SEL MOLASE 1 SEL SAMOSA 1 SELL BEANS 2 SELL BUSAA 2 SELL CLOTH 6 SELL CORN 1 SELL DRUGS 1 SELL EGGS 3 SELL FISH 1 SELL FOOD 2 SELL FRUIT 2 SELL GRAIN 1 SELL HENS 1 SELL KIOSK 1 SELL MAIZE 20 SELL MATS 1 SELL MILK 3 SELL ROPES 1 SELL SAMSA 1 SELL SHOES 1 SELL SOAP 1 SELL VEG 3 SELL VEGES 21 SELL VEGS 2 SELLER 2 SELLING 2 SELLS MILK 1 SELLSAMOSA 1 SELLSNACKS 1 SEWING 1 SHEEP TRAD 1 SHOE MAKER 1 SHOE REPAI 1 SHOEPOLISH 1 SHOP 14 SHOPKEEPER 10 SLL TIMBER 1 TAILOR 5 TAILORING 3 TAXI 1 TEA LEAVES 1 TIMBER 2 TOMATOES 1 TRADE COWS 1 TRADER 13 TRADING 1 TRANSPORT 2 UTENSILS 1 V/SELLER 1 V/VENDOR 2 VEG SELLER 5 VEG TRADER 1 VEG VENDER 13 VEG VENDOR 8 VENDER 1 W/DIGGER 1 WATCH TECH 1 Business - Code Either the household head or the spouse, whoever is best able to respond about each business. Business Description. What type of business is this? What kind of trade or occupation is it connected with? Occupation Code. Write a description of the business (like duka in town, or restaurant in town, etc.) and an occupation code (like trader/merchant/salesperson, or restaurant/bar/hotel). 512 0 1 Crop farmer 1 2 Animal farmer 0 3 Housewife 0 4 Trader/merchant/salesperson 436 5 Transport worker 9 6 Construction worker 2 7 Teacher/education professional 0 8 Health professional/TBA/trad. Healer 1 9 Secretary/clerical 0 10 Factory worker 0 11 Restaurant/bar/hotel 11 12 Skilled trades (carpenter, tailor, etc.) 28 13 Preacher/pastor 0 14 Village elder 0 15 Domestic worker 0 16 Civil Servant/Government 0 17 Other (specify) 23 88 No activity/unemployed 0 98 1 99 Don’t Know 0 Still operating Either the household head or the spouse, whoever is best able to respond about each business. Is your household still operating this business? If answer is 1 > Go to 5 (en05 - variable name in dataset). 512 0 1 Yes 364 2 No 148 When closed business - Month Either the household head or the spouse, whoever is best able to respond about each business. Go to 6 (en06 - variable name in dataset). If answer is more than or equal to 12 months > Go to next business.]]> 148 364 1 98 6.372 8.58 When closed business - Year Either the household head or the spouse, whoever is best able to respond about each business. When did you close this business? Year. Go to 6 (en06 - variable name in dataset). If answer is more than or equal to 12 months > Go to next business.]]> 148 364 98 2004 1977.52 220.73 98 2 2000 2 2001 4 2002 14 2003 59 2004 67 Sysmiss 364 How long has owned business - Years Either the household head or the spouse, whoever is best able to respond about each business. How long has your household owned this business? Years. 365 147 0 98 12.444 26.301 How long has owned business - Months Either the household head or the spouse, whoever is best able to respond about each business. How long has your household owned this business? Months. 365 147 0 98 41.641 46.924 How many months has business been in operation Either the household head or the spouse, whoever is best able to respond about each business. How many months in the past 12 months has this business been in operation? Number of Months. 512 0 0 98 14.533 22.333 How many workers have been hired - Full time Either the household head or the spouse, whoever is best able to respond about each business. How many workers have been hired to work in this business in the past 12 months? Full Time. NUMBER OF WORKERS. In Questions 7a-c, ask about the number of workers that have been hired in the business in the past 12 months (probe for the number of part-time, full-time, and casual workers - do not include family members). 512 0 0 98 6.408 24.068 How many workers have been hired - Part time Either the household head or the spouse, whoever is best able to respond about each business. How many workers have been hired to work in this business in the past 12 months? Part Time. NUMBER OF WORKERS. In Questions 7a-c, ask about the number of workers that have been hired in the business in the past 12 months (probe for the number of part-time, full-time, and casual workers - do not include family members). 512 0 0 98 6.795 24.757 How many workers have been hired - Casual Either the household head or the spouse, whoever is best able to respond about each business. In Questions 7a-c, ask about the number of workers that have been hired in the business in the past 12 months (probe for the number of part-time, full-time, and casual workers - do not include family members). 512 0 0 98 6.492 24.051 Total value of all payment to workers Either the household head or the spouse, whoever is best able to respond about each business. What the total value of all payments (cash and kind) to these workers in the past 12 months? Amount in KSh. 512 0 0 168000 3608.563 14512.153 Count Section B 482 30 Business ID Either the household head or the spouse, whoever is best able to respond about each business. Business ID Copy from section A (en01a - variable name in dataset). 482 30 1 404 2 71 3 7 Sysmiss 30 Business ID Either the household head or the spouse, whoever is best able to respond about each business. Business ID Copy from section A (en01a - variable name in dataset). 482 30 1 402 2 69 3 11 Sysmiss 30 How much net income earn from business Either the household head or the spouse, whoever is best able to respond about each business. In the past 12 months, how much net income (that is, after paying for workers and other inputs) did your household earn from this business? Amount in KSh. 482 30 0 840000 29020.257 69631.19 Any business' service been used by hhold instead Either the household head or the spouse, whoever is best able to respond about each business. In the past 12 months, have any of this business’ products or services been used by your household instead of being sold? If answer is 2 > Go to 5 (enb05 - variable name in dataset). 482 30 1 Yes 233 2 No 249 Sysmiss 30 What was the value of the product used Either the household head or the spouse, whoever is best able to respond about each business. What was the value of these products consumed or used by your household in the past 12 months? Amount in KSh. 233 279 50 36000 2789.712 4727.914 How much of the net incomed did use Either the household head or the spouse, whoever is best able to respond about each business. In the past 12 months, how much of the net income did you use for yourself or your household? Amount in KSh. 482 30 0 190000 12303.849 20616.321 Business currently have stock of goods not yet sold Either the household head or the spouse, whoever is best able to respond about each business. Does your business currently have a stock of goods not yet sold? If answer is 2 > Go to 8 (enb08 - variable name in dataset). 482 30 1 Yes 224 2 No 258 Sysmiss 30 How much money would get if sold stock Either the household head or the spouse, whoever is best able to respond about each business. If you were to sell this stock of goods today, how much money would you get? Amount in KSh. 224 288 20 500000 13897.522 43491.752 Net income in 2002 compare to past 12 months Either the household head or the spouse, whoever is best able to respond about each business. For this business, how did the net income in 2002 compare to the net income in the past 12 months? 482 30 1 Lower 101 2 About the same 118 3 Higher 109 4 Business did not operate in 2002 147 8 2 9 5 Sysmiss 30 Net income in 2001 compare to past 12 months Either the household head or the spouse, whoever is best able to respond about each business. For this business, how did the net income in the 2001 compare to the net income in the past 12 months? 482 30 1 Lower 73 2 About the same 94 3 Higher 84 4 Business did not operate in 2002 224 8 2 9 5 Sysmiss 30 Unexpected event 813 0 1 Yes 813 2 No 0 Household ID Household ID 813 0 1 9694 818.506 1214.19 1 1 3 1 4 1 5 1 6 1 7 1 8 1 9 1 10 1 11 1 12 1 13 1 14 1 15 1 16 1 17 1 18 1 19 1 20 1 21 1 22 1 23 1 24 1 25 1 26 1 27 1 28 1 29 1 30 1 31 1 32 1 33 1 34 1 35 1 38 1 39 1 41 1 43 1 44 1 46 1 47 1 48 1 49 1 50 1 51 1 53 1 55 1 56 1 58 1 60 1 61 1 62 1 64 1 65 1 66 1 67 1 68 1 69 1 70 1 73 1 74 1 75 1 76 1 77 1 78 1 79 1 80 1 82 1 84 1 89 1 93 1 94 1 95 1 97 1 98 1 99 1 102 1 103 1 104 1 106 1 108 1 109 1 110 1 111 1 112 1 113 1 114 1 115 1 117 1 120 1 121 1 123 1 124 1 125 1 128 1 150 1 151 1 152 1 154 1 155 1 156 1 158 1 161 1 162 1 163 1 164 1 165 1 166 1 167 1 168 1 169 1 170 1 171 1 172 1 173 1 174 1 200 1 201 1 202 1 203 1 204 1 205 1 206 1 207 1 208 1 209 1 210 1 211 1 212 1 213 1 216 1 217 1 218 1 219 1 221 1 222 1 223 1 250 1 251 1 252 1 253 1 254 1 255 1 256 1 257 1 258 1 259 1 260 1 261 1 262 1 263 1 264 1 265 1 266 1 267 1 268 1 269 1 273 1 274 1 275 1 276 1 277 1 278 1 279 1 280 1 281 1 282 1 300 1 301 1 302 1 303 1 304 1 305 1 306 1 307 1 309 1 310 1 311 1 312 1 313 1 314 1 315 1 316 1 317 1 318 1 350 1 351 1 352 1 353 1 354 1 355 1 356 1 357 1 358 1 359 1 360 1 361 1 362 1 363 1 364 1 365 1 366 1 368 1 369 1 372 1 400 1 401 1 402 1 403 1 404 1 405 1 406 1 407 1 409 1 410 1 411 1 412 1 415 1 417 1 418 1 419 1 420 1 421 1 422 1 423 1 425 1 426 1 427 1 428 1 429 1 430 1 431 1 434 1 436 1 438 1 450 1 451 1 452 1 453 1 454 1 455 1 456 1 457 1 458 1 459 1 460 1 461 1 462 1 463 1 464 1 465 1 466 1 467 1 468 1 469 1 470 1 473 1 475 1 476 1 478 1 479 1 480 1 481 1 482 1 483 1 484 1 485 1 486 1 487 1 488 1 489 1 490 1 500 1 501 1 502 1 504 1 505 1 506 1 507 1 508 1 509 1 510 1 511 1 512 1 513 1 514 1 515 1 516 1 518 1 519 1 520 1 521 1 522 1 523 1 524 1 525 1 526 1 527 1 528 1 529 1 530 1 531 1 532 1 533 1 534 1 535 1 537 1 538 1 539 1 540 1 541 1 542 1 543 1 544 1 545 1 546 1 547 1 548 1 549 1 550 1 551 1 552 1 554 1 556 1 557 1 559 1 560 1 562 1 563 1 564 1 565 1 566 1 568 1 580 1 581 1 582 1 585 1 587 1 588 1 589 1 590 1 591 1 593 1 594 1 595 1 597 1 598 1 599 1 600 1 601 1 602 1 603 1 604 1 605 1 606 1 607 1 608 1 609 1 610 1 611 1 612 1 615 1 616 1 617 1 618 1 619 1 620 1 621 1 622 1 623 1 624 1 625 1 626 1 627 1 628 1 630 1 631 1 632 1 633 1 634 1 635 1 637 1 639 1 640 1 652 1 653 1 656 1 658 1 660 1 663 1 665 1 666 1 667 1 670 1 671 1 673 1 674 1 675 1 676 1 677 1 678 1 679 1 680 1 681 1 682 1 683 1 686 1 687 1 688 1 689 1 690 1 691 1 692 1 693 1 694 1 696 1 697 1 698 1 699 1 700 1 701 1 702 1 703 1 706 1 707 1 708 1 709 1 710 1 711 1 712 1 715 1 716 1 717 1 720 1 721 1 722 1 723 1 724 1 725 1 726 1 727 1 728 1 730 1 731 1 732 1 733 1 735 1 736 1 737 1 738 1 739 1 740 1 741 1 742 1 746 1 747 1 748 1 751 1 752 1 755 1 757 1 758 1 764 1 766 1 775 1 776 1 779 1 780 1 781 1 783 1 784 1 786 1 787 1 790 1 791 1 792 1 793 1 794 1 800 1 801 1 802 1 803 1 804 1 805 1 806 1 807 1 808 1 809 1 810 1 811 1 812 1 813 1 814 1 815 1 816 1 817 1 818 1 819 1 820 1 821 1 822 1 823 1 824 1 825 1 826 1 827 1 828 1 829 1 830 1 831 1 832 1 833 1 834 1 835 1 836 1 837 1 838 1 839 1 840 1 841 1 842 1 843 1 844 1 845 1 846 1 847 1 848 1 849 1 850 1 851 1 852 1 853 1 854 1 855 1 856 1 900 1 901 1 902 1 903 1 904 1 905 1 906 1 907 1 908 1 909 1 911 1 912 1 913 1 914 1 915 1 916 1 917 1 918 1 919 1 920 1 921 1 922 1 923 1 924 1 925 1 926 1 927 1 928 1 929 1 930 1 931 1 932 1 933 1 934 1 935 1 936 1 937 1 938 1 939 1 940 1 941 1 942 1 943 1 944 1 945 1 946 1 947 1 948 1 949 1 950 1 951 1 952 1 953 1 954 1 955 1 956 1 957 1 958 1 959 1 960 1 961 1 962 1 963 1 964 1 965 1 966 1 967 1 968 1 969 1 970 1 971 1 972 1 973 1 974 1 975 1 976 1 977 1 978 1 979 1 980 1 982 1 983 1 984 1 985 1 986 1 987 1 988 1 989 1 990 1 991 1 992 1 993 1 994 1 995 1 996 1 997 1 998 1 999 1 1000 1 1001 1 1002 1 1003 1 1004 1 1005 1 1006 1 1007 1 1008 1 1009 1 1010 1 1011 1 1012 1 1013 1 1014 1 1015 1 1016 1 1017 1 1018 1 1019 1 1020 1 1021 1 1022 1 1023 1 1024 1 1025 1 1026 1 1027 1 1028 1 1029 1 1030 1 1031 1 1100 1 1101 1 1102 1 1104 1 1105 1 1106 1 1107 1 1108 1 1109 1 1110 1 1111 1 1113 1 1114 1 1115 1 1116 1 1117 1 1118 1 1119 1 1120 1 1121 1 1122 1 1123 1 1124 1 1125 1 1126 1 1127 1 1129 1 1130 1 1131 1 1132 1 1133 1 1134 1 1136 1 1137 1 1138 1 1139 1 1141 1 1142 1 1143 1 1144 1 1145 1 1146 1 1150 1 1151 1 1152 1 1153 1 1154 1 1155 1 1156 1 1157 1 1158 1 1159 1 1160 1 1161 1 1167 1 1168 1 1169 1 1170 1 1171 1 1173 1 1200 1 1201 1 1202 1 1203 1 1204 1 1205 1 1206 1 1207 1 1208 1 1209 1 1210 1 1211 1 1212 1 1214 1 1215 1 1216 1 1218 1 1219 1 1220 1 1221 1 1223 1 1225 1 1227 1 1228 1 1229 1 1230 1 1231 1 1232 1 1234 1 1235 1 1236 1 1237 1 1239 1 1240 1 1241 1 1242 1 1243 1 1244 1 1245 1 1246 1 1247 1 1248 1 1249 1 1250 1 1251 1 1252 1 1253 1 1254 1 1255 1 1257 1 1259 1 1261 1 1263 1 1264 1 1265 1 1266 1 1269 1 1270 1 1271 1 1272 1 1273 1 1274 1 1275 1 1276 1 1277 1 1278 1 1279 1 1280 1 1281 1 1282 1 1283 1 1284 1 1285 1 8043 1 9012 1 9019 1 9134 1 9166 1 9210 1 9216 1 9225 1 9240 1 9265 1 9518 1 9616 1 9653 1 9667 1 9694 1 Respondent ID Respondent ID 813 0 1 678 2 110 3 18 4 3 5 2 6 1 7 1 Day of interview Date of Interview. Day. 813 0 1 31 15.931 8.73 1 14 2 29 3 23 4 30 5 25 6 34 7 31 8 16 9 35 10 27 11 22 12 27 13 29 14 33 15 22 16 32 17 22 18 23 19 29 20 28 21 27 22 39 23 17 24 17 25 21 26 32 27 26 28 35 29 27 30 31 31 10 Month of interview Date of Interview. Month. 813 0 1 1 3 105 4 197 5 160 6 144 7 147 8 59 Year of interview Date of Interview. Year. 813 0 2004 813 Engaged in farming since Jan 2002 Primary male respondent At any time since January 2002 have you or members of your household engaged in farming on your own or rented land? If answer is 2 > Go to section A2 (une22 - variable name in dataset). 813 0 1 Yes 765 2 No 48 Weather adversely affected the yield since Jan 2002 Primary male respondent Since January 2002, has the weather adversely affected the yield on your farm? If answer is 2 > Go to 6 (une06 - variable name in dataset). 765 48 1 Yes 361 2 No 404 Sysmiss 48 Since Jan 2002 have a problem with crop Primary male respondent Since January 2002, have you (or any household member) had a problem with crops on your fields due to fire (not caused by lightening), pests, animals, plant disease, or theft? If answer is 2 > Go to 10 (une10 - variable name in dataset). 765 48 1 Yes 121 2 No 644 Sysmiss 48 Count of events Primary male respondent 121 692 Since Jan 2002 have problem with farm inputs Primary male respondent Since January 2002, have you (or any household member) had a problem with farm inputs (e.g. fertilizer, herbicide, seeds) not working as expected on your fields? If answer is 2 > Go to 14 (une14 - variable name in dataset). 765 48 1 Yes 137 2 No 628 Sysmiss 48 Count of farm inputs Primary male respondent 137 676 Since jan 2002 have lost land Primary male respondent Since January 2002, have you lost any of the land you were cultivating to a dispute over who could cultivate the land? If answer is 2 > Go to 22 (une22 - variable name in dataset). 765 48 1 Yes 32 2 No 733 Sysmiss 48 Count of lost land Primary male respondent 32 781 Since Jan 2002 lost any stored crops Primary male respondent Since January 2002, have you (or any household member) lost any stored crops to pests, rodents, fire, theft, or water damage? 765 48 1 Yes 77 2 No 685 8 3 Sysmiss 48 Count of lost stored crop Primary male respondent 77 736 Since Jan 2002 owned any livestock Primary male respondent At any time since January 2002, have you (or your household members) owned any livestock? If answer is 2 > Go to section B (une29 - variable name in dataset). 813 0 1 Yes 714 2 No 99 Since Jan 2002 lost any livestcok Primary male respondent Since January 2002, have any of these livestock died from a disease or accident? If answer is 2 > Go to 26 (une26 - variable name in dataset). 714 99 1 Yes 396 2 No 317 8 1 Sysmiss 99 Count of lost livestock Primary male respondent 396 417 Since Jan 2002 livestock been stolen Primary male respondent Since January 2002, have any livestock been stolen? If answer is 2 > Go to section B (une29 - variable name in dataset). Ask if any of the livestock were stolen, recording the month and year of the theft and the value of the stolen livestock. 715 98 1 Yes 29 2 No 686 Sysmiss 98 Count of stolen livestock Primary male respondent 29 784 Anything been stolen from house since Jan 2002 Primary male respondent Since January 2002, has anything been stolen from your house/compound (except stored crops or livestock)? If answer is 2 > Go to 32 (une32 - variable name in dataset). 813 0 1 Yes 91 2 No 722 Count of stolen things Primary male respondent 91 722 Since Jan 2002 have your house been danaged by weather Primary male respondent Since January 2002, have your houses or buildings been damaged by weather (including flood) or fire? If answer is 2 > Go to 35 (une35 - variable name in dataset). 813 0 1 Yes 51 2 No 762 Count of item damaged Primary male respondent 51 762 Since Jan 2002 car, tractor... been stolen Primary male respondent Since January 2002, has your car, tractor, or bicycle been stolen or damaged in an accident? If answer is 2 > Go to 39 (une39 - variable name in dataset). 813 0 1 Yes 16 2 No 797 Count of stolen items Primary male respondent 16 797 Since Jan 2002 source of drinking water unusable Primary male respondent Since January 2002, has there been a period(s) of time where the source where you usually get drinking water was unusable? If answer is 2 > Go to section C (une43 - variable name in dataset). 813 0 1 Yes 170 2 No 643 Count of source of drinking water Primary male respondent 170 643 Had job which paid a wage since Jan 2002 Primary male respondent Since January 2002, have you (or any household member) held any job which paid a wage? If answer is 2 > Go to 51 (une51 - variable name in dataset). 813 0 1 Yes 427 2 No 386 Had a problem of non-payment for work since Jan 2002 Primary male respondent Since January 2002, has any household member had a problem of non-payment or delay of payment for work that he/she did? If answer is 2 > Go to 48 (une48 - variable name in dataset). 427 386 1 Yes 55 2 No 372 Sysmiss 386 Count of non payment Primary male respondent 55 758 Lost any jobs since Jan 2002 Primary male respondent Since January 2002, have you or anyone in your household lost any jobs? If answer is 2 > Go to 51 (une51 - variable name in dataset). 427 386 1 Yes 37 2 No 390 Sysmiss 386 Count of job loss Primary male respondent 37 776 Since Jan 2002 managed/owned own business Primary male respondent Since January 2002, have you managed/owned your own business? If answer is 2 > End. 813 0 1 Yes 269 2 No 544 Have had unexpected losses in business since Jan 2002 Primary male respondent Since January 2002, have you had any unexpected losses in this business due to things such as theft, fire, employee fraud, debtor default, etc? If answer is 2 > End. 269 544 1 Yes 136 2 No 133 Sysmiss 544 Count of losses in business Primary male respondent 136 677 Unexpected event 395 0 1 Yes 395 2 No 0 Household ID Household ID 395 0 4 9667 855.489 1328.164 4 1 5 1 7 2 9 2 13 1 20 1 21 1 22 1 23 1 25 1 26 2 27 1 28 1 29 1 30 1 31 2 32 1 33 2 35 1 38 1 44 1 48 1 50 1 60 1 64 1 68 1 70 1 73 1 74 1 76 1 82 1 84 1 95 1 97 1 102 1 103 1 110 1 111 1 112 1 113 1 115 1 117 1 128 1 150 1 151 1 155 1 156 1 161 1 171 2 174 1 201 1 204 1 206 1 207 1 210 1 213 1 216 1 218 1 222 1 223 1 250 1 251 2 252 2 254 1 255 1 261 3 262 2 263 1 264 1 265 1 266 1 268 1 269 1 273 2 275 1 279 1 300 2 301 1 302 1 303 1 306 1 309 2 311 1 314 1 318 1 352 1 355 1 356 1 358 1 359 1 360 1 362 1 364 1 407 1 410 1 417 1 423 1 428 1 431 1 438 1 453 1 454 1 456 1 458 1 459 1 462 3 464 1 465 1 466 1 467 1 468 1 469 2 470 1 473 1 475 1 479 1 485 1 486 1 488 1 489 1 505 1 507 1 510 1 511 1 514 1 520 1 521 1 523 1 524 2 534 1 535 1 544 1 549 1 550 2 557 1 560 1 564 1 565 1 566 2 568 1 580 1 582 1 585 1 587 1 593 1 594 2 595 1 598 1 600 1 603 1 605 1 606 1 607 1 608 1 610 1 616 1 619 1 620 2 621 1 622 1 627 1 630 1 631 1 632 1 634 1 637 1 653 1 656 1 660 1 666 1 667 1 670 1 673 1 674 1 676 1 677 1 679 2 680 1 687 1 689 1 691 1 692 1 694 1 708 1 709 1 710 1 711 1 712 1 715 2 716 1 717 2 720 1 721 1 723 1 732 1 736 1 739 1 740 1 741 1 742 1 746 1 747 1 757 1 766 1 780 1 781 1 783 1 790 1 791 1 793 1 794 1 804 1 805 1 811 1 819 1 820 1 826 1 828 1 830 1 832 1 833 1 844 1 846 1 847 1 849 1 900 1 901 1 905 2 906 1 907 1 911 1 912 1 915 1 918 1 921 1 924 1 928 1 931 1 932 1 935 1 937 1 940 1 941 1 942 1 943 1 947 1 948 1 952 1 953 1 955 1 956 1 957 1 960 1 961 1 963 1 964 1 969 1 970 1 972 1 978 1 979 1 982 1 987 2 988 1 990 1 992 1 994 1 997 1 1000 1 1001 1 1003 1 1007 1 1009 1 1010 1 1011 1 1012 1 1013 1 1014 1 1016 1 1021 1 1023 1 1024 1 1028 1 1031 1 1101 1 1102 1 1104 1 1109 1 1110 1 1113 1 1114 1 1115 1 1119 1 1121 1 1122 1 1123 1 1125 1 1126 1 1129 1 1134 1 1137 1 1139 1 1141 2 1143 1 1144 1 1145 1 1150 1 1151 1 1153 1 1154 1 1155 2 1156 1 1158 1 1159 2 1161 1 1170 1 1171 2 1200 1 1201 1 1202 1 1204 2 1206 1 1208 1 1214 1 1215 1 1216 1 1221 1 1225 1 1234 1 1235 1 1236 1 1240 1 1244 1 1245 1 1246 1 1253 1 1254 1 1255 2 1257 1 1263 1 1264 1 1265 1 1270 1 1271 1 1272 1 1273 1 1277 1 1280 1 1281 1 1282 1 1283 2 1284 1 8043 1 9012 1 9019 1 9134 1 9216 1 9240 1 9518 1 9653 1 9667 1 Respondent ID Respondent ID 395 0 1 340 2 44 3 6 4 3 6 1 7 1 Day of interview Date of Interview. Day. 395 0 1 31 16.056 8.875 1 8 2 17 3 13 4 9 5 15 6 15 7 13 8 6 9 18 10 11 11 13 12 16 13 11 14 12 15 11 16 15 17 11 18 13 19 15 20 13 21 15 22 18 23 10 24 5 25 9 26 14 27 12 28 21 29 16 30 14 31 6 Month of interview Date of Interview. Month. 395 0 3 56 4 98 5 67 6 62 7 90 8 22 Year of interview Date of Interview. Year. 395 0 2004 395 Weather event ID code Primary male respondent Weather event ID Code 395 0 1 361 2 32 3 2 Weather event ID code Primary male respondent Weather event ID Code 395 0 1 Drought/lack of water 215 2 Flood 62 3 Hail storm 56 4 Frost 6 5 Lightening 1 6 Rainstorm 52 7 Other (specify) 3 Month begun Primary male respondent When did these weather events happen and what was the value of the damage to your crops? Date when Event Began and Ended. Month Began. Probe for month and year. 394 1 1 99 5.769 5.138 1 6 2 7 3 46 4 81 5 78 6 49 7 48 8 52 9 14 10 5 11 4 12 3 99 1 Sysmiss 1 Year begun Primary male respondent Date when Event Began and Ended. Year Began. Probe for month and year. 394 1 2000 1 2001 2 2002 123 2003 210 2004 58 Sysmiss 1 Month ended Primary male respondent Date when Event Began and Ended. Month Ended. Probe for month and year. 394 1 1 99 8.01 11.415 1 1 2 3 3 9 4 35 5 69 6 88 7 61 8 54 9 41 10 13 11 7 12 7 98 4 99 2 Sysmiss 1 Year ended Primary male respondent Date when Event Began and Ended. Year Ended. Probe for month and year. 394 1 98 2004 1988.34 165.764 98 2 99 1 2000 1 2001 2 2002 116 2003 211 2004 61 Sysmiss 1 Value of crop damaged Primary male respondent Value of Crop Damage due to the Weather Event (KSh) 395 0 98 250000 10979.792 20346.392 Unexpected event 138 0 1 Yes 138 2 No 0 Household ID Household ID 138 0 25 9616 868.717 1498.703 25 1 26 1 27 2 29 1 43 1 58 1 60 1 62 1 64 1 65 2 73 1 76 1 80 1 82 1 114 1 115 2 155 1 162 1 171 2 205 1 213 1 255 1 257 1 261 2 263 1 267 1 269 1 279 1 306 1 351 1 363 1 403 2 407 1 410 3 411 1 412 1 415 1 431 1 434 1 456 1 461 1 463 1 465 2 466 1 469 4 480 1 482 1 486 1 514 1 515 1 523 1 585 1 591 1 597 1 598 1 601 1 603 1 604 1 605 1 606 1 609 1 610 1 616 1 619 1 620 1 626 1 634 1 663 1 670 1 699 1 712 1 715 1 716 1 725 1 730 1 757 1 779 1 783 1 804 1 819 1 837 2 854 1 933 1 947 1 952 1 962 1 973 1 979 1 982 2 995 1 996 1 1003 1 1012 1 1013 1 1015 1 1016 1 1028 1 1100 1 1108 1 1134 1 1141 1 1145 1 1146 1 1161 2 1207 1 1211 1 1215 1 1216 1 1227 1 1230 1 1231 1 1236 1 1245 2 1270 1 1271 1 1276 1 1285 2 9012 1 9019 1 9265 1 9616 1 Respondent ID Respondent ID 138 0 1 118 2 18 3 2 Day of interview Date of Interview. Day. 138 0 1 30 15.101 9.186 1 4 2 5 3 4 4 4 5 8 6 12 7 6 8 4 9 2 10 2 11 6 12 6 13 4 14 1 15 4 16 3 17 5 18 4 19 6 20 2 21 10 22 1 23 2 24 1 25 2 26 5 27 6 28 8 29 3 30 8 Month of interview Date of Interview. Month. 138 0 3 15 4 46 5 28 6 12 7 23 8 14 Year of interview Date of Interview. Year. 138 0 2004 138 Event code Primary male respondent When did these problems happen and what was the value of the damage to your crops? Event ID Code 138 0 1 121 2 14 3 2 4 1 Event code Primary male respondent When did these problems happen and what was the value of the damage to your crops? Event ID Code 138 0 1 Insects 16 2 Rodents 3 3 Animals eating crops 62 4 Theft 53 5 Fire 0 6 Other (specify) 4 Date of event - Month Primary male respondent Date of Event. Month. Probe for month and year. 138 0 1 99 7.877 8.175 1 2 2 3 3 3 4 13 5 14 6 13 7 20 8 25 9 24 10 11 11 3 12 6 99 1 Date of event - Year Primary male respondent Date of Event. Year. Probe for month and year. 138 0 2000 1 2002 33 2003 88 2004 16 Value of crop damage Primary male respondent Value of Crop Damage due to the Event (KSh). 138 0 100 150000 4059.71 13262.285 Unexpected event 150 0 1 Yes 150 2 No 0 Household ID Household ID 150 0 4 9240 633.187 1057.615 4 1 15 1 20 2 23 1 26 1 27 1 29 1 31 1 32 1 33 2 34 1 35 1 39 1 41 1 47 1 58 1 67 1 95 1 98 1 112 3 114 1 115 1 150 1 151 1 152 1 154 1 155 1 161 2 162 1 167 2 171 1 174 1 203 1 204 1 206 1 218 1 250 1 252 1 261 1 267 1 269 1 276 1 300 1 304 1 306 2 307 1 309 1 311 1 313 1 316 1 318 1 354 1 362 1 365 1 368 1 369 1 406 1 410 1 411 1 412 1 417 3 460 1 473 1 483 1 485 3 488 1 511 1 513 1 516 1 519 1 528 1 534 1 543 1 550 1 564 1 568 1 582 1 591 1 599 1 600 1 601 1 603 1 622 1 626 1 633 1 635 1 666 1 673 1 686 1 687 1 689 1 708 1 715 1 723 1 730 1 737 1 739 2 740 1 741 1 757 1 764 1 780 1 806 1 819 1 844 1 851 1 853 1 905 1 909 1 916 1 940 1 941 1 952 1 971 1 993 1 994 1 1007 1 1023 1 1100 1 1101 1 1105 1 1109 1 1110 1 1115 1 1124 1 1169 1 1220 1 1221 1 1243 1 1245 1 1250 1 1251 1 1255 1 1265 2 1275 1 9019 1 9240 1 Respondent ID Respondent ID 150 0 1 131 2 15 3 4 Day of interview Date of Interview. Day. 150 0 1 31 15.2 8.933 1 5 2 5 3 2 4 6 5 6 6 11 7 4 8 4 9 8 10 2 11 6 12 8 13 4 14 5 15 2 16 3 17 7 18 6 19 8 20 2 21 6 22 5 23 3 24 1 25 3 26 5 27 3 28 4 29 4 30 9 31 3 Month of interview Date of Interview. Month. 150 0 1 1 3 40 4 43 5 26 6 15 7 16 8 9 Year of interview Date of Interview. Year. 150 0 2004 150 Problem ID Code Primary male respondent When did this happen and what was the value of the damage to your crops? Problem ID Code 150 0 1 137 2 10 3 3 Problem ID Code Primary male respondent When did this happen and what was the value of the damage to your crops? Problem ID Code 150 0 1 Fertilizers 40 2 Herbicides 2 3 Other chemicals 1 4 Seeds 107 Date of event - Month Primary male respondent Date of Problem. Month. 150 0 1 98 5.807 13.298 1 3 2 8 3 42 4 72 5 11 6 3 7 1 8 3 9 2 10 1 12 1 98 3 Date of event - Year Primary male respondent Date of Problem. Year. 150 0 2002 72 2003 69 2004 9 Value of damage Primary male respondent Value of Damage due to the Event (KSh). 150 0 98 300000 13428.967 29054.157 Unexpected event 33 0 1 Yes 33 2 No 0 Household ID Household ID 33 0 24 1279 585.333 409.895 24 1 26 1 31 1 64 1 73 1 152 1 164 1 165 1 210 1 355 1 357 1 359 1 366 1 404 1 488 1 512 1 587 1 610 1 616 1 627 1 683 1 702 1 715 1 721 1 906 1 1100 1 1115 1 1138 1 1160 2 1211 1 1236 1 1279 1 Respondent ID Respondent ID 33 0 1 30 2 3 Day of interview Date of Interview. Day. 33 0 3 30 14.909 8.483 3 3 5 2 6 2 7 3 9 1 10 1 11 1 13 4 14 1 15 1 17 1 19 2 20 1 21 1 22 1 23 1 24 1 25 1 26 2 28 1 29 1 30 1 Month of interview Date of Interview. Month. 33 0 3 6 4 11 5 7 6 1 7 6 8 2 Year of interview Date of Interview. Year. 33 0 2004 33 Unit Primary male respondent 0 33 Sysmiss 33 Date of event - Month Primary male respondent When did this happen and what was the value of the loss? Date of Event. Month. 33 0 1 32 2 1 Date of event - Year Primary male respondent When did this happen and what was the value of the loss? Date of Event. Year. 33 0 2002 8 2003 14 2004 11 Land Quantity Primary male respondent Land Quantity 33 0 20 500 132.727 110.235 Land Unit Code Primary male respondent Land Unit Code 33 0 1 Acres 32 2 Hectares 1 3 Sq. meters 0 4 Sq. feet 0 Value of land Primary male respondent Value of the land that was lost [Amount in KSh]. 33 0 3000 200000 56651.515 50846.35 Unexpected event 89 0 1 Yes 89 2 No 0 Household ID Household ID 89 0 11 1227 420.854 324.167 11 2 15 1 22 1 25 1 27 2 33 1 35 1 53 2 55 1 62 1 75 1 76 1 80 1 111 2 151 2 152 1 158 2 166 1 169 2 171 1 201 1 204 1 206 1 207 1 216 1 256 1 258 1 265 1 266 1 268 1 269 1 279 1 306 2 309 2 316 1 362 1 368 1 404 2 420 1 423 1 431 1 450 1 453 1 463 1 479 1 483 1 486 2 538 1 541 1 556 1 557 1 565 1 594 1 607 1 608 1 634 2 670 1 677 1 682 1 699 1 715 1 742 1 751 1 757 1 779 1 806 1 837 1 902 1 955 1 964 1 993 1 994 1 1119 1 1153 1 1159 1 1161 1 1227 1 Respondent ID Respondent ID 89 0 1 80 2 8 7 1 Day of interview Date of Interview. Day. 89 0 1 31 16.809 8.664 1 3 2 2 3 2 4 2 6 4 7 2 8 3 9 5 10 2 11 2 13 6 14 1 15 2 16 8 17 3 18 4 19 6 21 2 22 6 23 3 25 2 26 3 27 2 28 4 29 3 30 2 31 5 Month of interview Date of Interview. Month. 89 0 3 31 4 30 5 14 6 6 7 7 8 1 Year of interview Date of Interview. Year. 89 0 2004 89 Unit Primary male respondent 89 0 1 77 2 12 Reason for loss Primary male respondent Reason for loss 89 0 1 Pests 33 2 Rodents 18 3 Fire 0 4 Theft 29 5 Water damage 8 6 Other (specify) 1 Date of event - Month Primary male respondent Date of Event. Month. 89 0 0 98 8.876 10.448 0 1 1 7 2 9 3 6 4 3 5 1 6 8 7 1 8 6 9 3 10 5 11 4 12 34 98 1 Date of event - Year Primary male respondent Date of Event. Year. 89 0 2002 33 2003 45 2004 11 Value of loss Primary male respondent Value of loss (KSh) 89 0 99 50000 3196.944 5807.832 Unexpected event 487 0 1 Yes 487 2 No 0 Household ID Household ID 487 0 5 9653 767.314 1151.539 5 2 8 1 9 1 10 2 12 1 14 1 15 1 16 1 18 3 19 3 21 1 22 2 25 2 26 2 27 1 30 1 31 2 33 3 34 2 35 1 38 2 39 1 41 1 43 3 44 2 46 2 47 3 55 1 65 1 68 1 69 1 70 1 76 1 80 3 84 1 94 2 95 1 97 1 98 3 102 1 103 2 108 3 109 1 110 1 111 1 112 1 115 1 123 1 150 1 151 1 152 2 156 1 162 1 164 1 165 1 166 1 167 3 169 1 170 1 172 1 174 3 200 1 201 1 206 1 208 1 209 1 210 1 211 1 212 2 213 1 216 1 222 1 251 1 252 3 255 2 259 1 260 1 261 1 264 1 265 1 269 1 274 1 275 1 276 3 277 1 280 3 300 2 303 1 305 1 306 1 309 1 310 1 314 1 315 1 350 1 352 1 353 2 354 1 355 1 357 1 361 1 362 1 363 1 364 1 365 1 366 1 368 2 369 1 400 1 402 1 403 1 404 1 410 1 412 1 417 1 418 1 419 1 420 1 421 1 429 2 431 2 438 1 454 1 458 1 459 1 460 1 461 1 463 1 470 1 480 1 482 1 485 1 486 1 488 1 489 1 490 2 501 1 504 3 506 1 507 1 511 1 514 1 516 1 518 1 524 1 528 1 530 1 532 1 534 1 538 1 540 1 543 1 544 1 546 1 549 2 550 1 551 2 556 1 557 2 565 2 566 1 580 1 582 1 585 1 587 1 588 1 591 1 593 1 595 1 597 1 599 1 602 1 605 1 608 2 610 2 611 2 616 1 617 1 619 1 620 1 621 1 624 2 627 1 631 1 632 1 633 1 634 1 637 2 640 1 653 1 656 1 658 1 660 1 665 1 666 1 667 1 670 1 671 1 673 1 676 1 677 1 678 2 679 1 681 1 686 2 688 1 689 1 690 1 691 1 692 2 696 1 697 2 699 1 700 1 701 1 702 1 709 1 712 1 715 1 716 1 722 3 724 1 727 3 731 1 735 1 737 1 740 2 741 3 742 1 746 1 747 1 748 1 752 1 766 1 776 1 779 1 780 1 781 1 784 1 791 1 792 1 793 1 794 1 802 1 805 1 808 1 813 2 819 2 826 1 834 1 844 2 845 1 846 1 849 1 850 1 851 1 854 1 905 1 906 1 907 1 912 1 913 2 919 1 923 1 924 1 925 1 926 1 928 1 934 1 936 1 937 1 939 1 941 1 942 1 943 2 944 1 948 1 952 1 958 1 962 1 965 1 967 1 970 1 971 1 972 1 975 1 976 1 978 1 979 1 980 1 982 2 987 1 991 1 994 1 998 1 1005 1 1007 1 1009 1 1013 1 1014 1 1017 2 1023 1 1024 1 1026 1 1028 1 1029 1 1100 1 1104 1 1105 1 1106 1 1107 2 1108 2 1109 1 1110 1 1111 1 1113 1 1115 1 1116 1 1117 1 1118 2 1119 1 1120 2 1121 1 1122 1 1125 1 1126 1 1127 2 1129 1 1132 1 1133 1 1134 1 1136 2 1137 1 1138 2 1141 1 1145 1 1146 1 1151 1 1152 1 1153 2 1155 1 1157 1 1158 1 1159 1 1161 2 1167 1 1168 1 1170 1 1171 1 1200 1 1202 2 1204 1 1208 1 1210 1 1211 1 1212 1 1214 1 1215 2 1216 1 1219 1 1220 1 1225 1 1229 1 1230 1 1234 2 1235 1 1236 1 1237 1 1240 1 1241 1 1246 1 1250 1 1251 1 1253 1 1254 1 1257 1 1259 1 1264 1 1265 2 1269 1 1274 2 1275 1 1277 1 1278 2 1279 1 1280 1 1282 1 1284 1 8043 1 9134 1 9210 1 9216 1 9225 1 9240 1 9265 1 9653 1 Respondent ID Respondent ID 487 0 1 422 2 53 3 6 4 3 5 1 7 2 Day of interview Date of Interview. Day. 487 0 1 31 15.688 8.666 1 11 2 16 3 17 4 15 5 11 6 26 7 15 8 9 9 18 10 28 11 15 12 11 13 20 14 15 15 13 16 18 17 17 18 16 19 26 20 15 21 13 22 18 23 6 24 14 25 6 26 24 27 13 28 24 29 19 30 14 31 4 Month of interview Date of Interview. Month. 487 0 1 1 3 83 4 111 5 93 6 66 7 99 8 34 Year of interview Date of Interview. Year. 487 0 2004 487 Unit Primary male respondent 487 0 1 396 2 74 3 17 Date of livestock loss - Month Primary male respondent Date of Livestock loss. Month. 487 0 1 99 6.945 11.517 1 40 2 46 3 43 4 63 5 62 6 59 7 36 8 52 9 20 10 13 11 17 12 29 98 1 99 6 Date of livestock loss - Year Primary male respondent Date of Livestock loss. Year. 487 0 2000 2 2001 4 2002 138 2003 216 2004 127 Value of loss Primary male respondent Value of loss (KSh) 487 0 100 170000 13591.027 16616.949 Unexpected event 30 0 1 Yes 30 2 No 0 Household ID Household ID 30 0 109 1253 858.733 313.974 109 1 363 1 364 1 365 1 459 1 489 1 542 1 616 1 637 1 779 1 839 1 907 1 922 1 940 1 942 2 979 1 987 1 991 1 995 1 997 1 1100 1 1119 1 1138 1 1160 1 1168 1 1204 1 1219 1 1237 1 1253 1 Respondent ID Respondent ID 30 0 1 24 2 5 3 1 Day of interview Date of Interview. Day. 30 0 1 30 16.033 8.56 1 1 4 1 6 2 7 2 8 3 9 2 13 1 14 1 15 1 16 1 18 3 19 2 20 1 21 1 24 1 25 1 26 1 27 1 28 2 29 1 30 1 Month of interview Date of Interview. Month. 30 0 3 1 4 7 5 1 6 6 7 14 8 1 Year of interview Date of Interview. Year. 30 0 2004 30 Unit Primary male respondent 30 0 1 29 2 1 Date of livestock theft - Month Primary male respondent Date of Livestock theft. Month. Ask if any of the livestock were stolen, recording the month and year of the theft and the value of the stolen livestock. 30 0 2 5 3 2 4 4 5 2 6 3 8 3 9 2 12 9 Date of livestock theft - Year Primary male respondent Date of Livestock theft. Year. Ask if any of the livestock were stolen, recording the month and year of the theft and the value of the stolen livestock. 30 0 2000 1 2002 8 2003 16 2004 5 Value of theft Primary male respondent Value of theft (KSh) Ask if any of the livestock were stolen, recording the month and year of the theft and the value of the stolen livestock. 30 0 150 70000 8194.333 15661.618 Unexpected event 96 0 1 Yes 96 2 No 0 Household ID Household ID 96 0 9 9019 667.281 934.969 9 1 25 1 33 1 38 1 44 1 60 1 62 1 64 1 73 1 103 1 111 1 117 1 123 1 151 2 152 2 163 1 166 1 171 2 201 1 203 1 206 1 208 1 210 1 219 1 256 1 268 1 273 1 306 1 318 1 403 1 412 1 423 2 434 1 453 1 464 1 466 1 476 1 488 1 523 1 524 1 547 1 595 1 598 1 600 1 606 1 610 1 616 1 617 1 620 1 667 1 670 1 678 1 681 1 716 1 781 1 800 1 803 1 807 1 816 1 837 1 845 1 851 1 902 1 916 1 921 1 922 2 924 1 930 1 932 1 950 1 962 1 968 1 969 1 971 1 987 1 989 1 993 1 998 1 1005 1 1006 1 1012 1 1020 1 1022 1 1113 1 1115 1 1134 1 1142 1 1158 1 1219 1 1281 1 9019 1 Respondent ID Respondent ID 96 0 1 89 2 5 3 2 Day of interview Date of Interview. Day. 96 0 2 31 18.635 8.167 2 1 3 1 4 2 5 1 6 4 7 1 8 1 9 5 10 3 11 4 12 1 13 6 14 3 15 3 16 5 17 5 18 1 19 3 20 4 21 2 22 3 23 2 24 2 25 7 26 7 27 1 28 4 29 6 30 4 31 4 Month of interview Date of Interview. Month. 96 0 3 25 4 23 5 13 6 16 7 15 8 4 Year of interview Date of Interview. Year. 96 0 2004 96 Unit Primary male respondent 96 0 1 91 2 5 Month of theft Primary male respondent Date of theft. Month. 96 0 1 99 11.49 22.949 1 9 2 8 3 9 4 16 5 6 6 14 7 3 8 5 9 3 10 4 11 5 12 8 99 6 Year of theft Primary male respondent Date of theft. Year. 96 0 2002 21 2003 56 2004 19 Value of stolen Primary male respondent Value of stolen items (KSh) 96 0 50 120000 3710.885 12992.83 Unexpected event 54 0 1 Yes 54 2 No 0 Household ID Household ID 54 0 4 1285 557.37 379.209 4 1 11 2 19 1 75 1 115 1 151 2 155 1 161 1 164 1 170 1 171 1 173 1 223 1 275 1 306 1 318 1 358 1 409 1 415 2 467 1 469 1 470 1 489 1 500 1 523 1 542 1 601 1 604 1 606 1 608 1 622 1 635 1 670 1 679 1 737 1 757 1 779 1 813 1 852 1 906 1 932 1 993 1 1020 1 1100 1 1111 1 1136 1 1151 1 1232 1 1275 1 1284 1 1285 1 Respondent ID Respondent ID 54 0 1 48 2 4 3 2 Day of interview Date of Interview. Day. 54 0 2 31 18.111 9.138 2 1 4 2 5 2 6 2 7 3 8 2 9 3 10 1 11 1 12 1 13 1 14 1 15 1 16 3 18 2 19 3 20 1 21 2 22 2 24 1 25 2 26 3 28 5 29 3 30 5 31 1 Month of interview Date of Interview. Month. 54 0 3 12 4 16 5 11 6 5 7 7 8 3 Year of interview Date of Interview. Year. 54 0 2004 54 Unit Primary male respondent 54 0 1 51 2 3 Date of weather event - Month Primary male respondent Date of Weather Event. Month. 54 0 2 11 3 4 4 12 5 6 6 5 7 3 8 8 11 1 12 4 Date of weather event - Year Primary male respondent Date of Weather Event. Year. 54 0 2000 1 2002 13 2003 23 2004 17 Value of damage Primary male respondent Value of damaged items (KSh) 54 0 0 32000 2518.5 5379.699 Unexpected event 16 0 1 Yes 16 2 No 0 Household ID Household ID 16 0 13 1253 535.125 389.473 13 1 60 1 64 1 67 1 205 1 436 1 480 1 482 1 486 1 671 1 716 1 776 1 781 1 931 1 1141 1 1253 1 Respondent ID Respondent ID 16 0 1 14 2 1 6 1 Day of interview Date of Interview. Day. 16 0 7 29 17.063 6.213 7 1 9 1 13 2 14 3 16 2 17 2 19 1 22 1 26 1 27 1 29 1 Month of interview Date of Interview. Month. 16 0 3 2 4 3 5 6 6 3 7 2 Year of interview Date of Interview. Year. 16 0 2004 16 Item stolen Primary male respondent 16 0 1 16 Item stolen Primary male respondent Item stolen or damaged 16 0 1 Bicycle 16 2 Car 0 3 Tractor 0 4 Other (specify) 0 Date of event - Month Primary male respondent Date of Event. Month. 16 0 2 2 3 1 4 5 5 3 7 1 8 1 10 1 12 2 Date of event - Year Primary male respondent Date of Event. Year. 16 0 2002 5 2003 6 2004 5 Value of loss Primary male respondent Value of loss (KSh) 16 0 70 5000 1383.75 1730.965 Unexpected event 175 0 1 Yes 175 2 No 0 Household ID Household ID 175 0 4 9667 812.16 1200.556 4 3 12 1 14 1 15 1 18 1 19 1 24 1 44 1 47 1 53 1 56 2 60 1 64 1 66 1 67 1 84 1 102 1 110 1 115 1 120 1 121 1 124 1 162 1 165 1 167 1 203 1 207 1 216 1 217 1 218 1 222 1 223 1 250 1 258 1 265 1 267 1 277 1 300 1 304 1 307 1 315 1 318 1 352 1 355 1 358 1 406 1 417 1 421 1 427 1 464 1 476 1 478 1 479 1 480 1 486 1 502 1 508 1 509 1 523 1 524 1 526 1 534 1 544 1 545 1 566 1 580 1 585 1 590 1 599 1 603 1 609 1 621 1 622 1 634 1 635 1 663 1 667 1 670 1 673 2 675 1 677 1 678 1 679 1 681 1 689 1 692 1 693 1 698 1 701 1 706 1 721 1 725 1 730 1 738 1 739 1 742 1 747 1 748 1 766 1 775 1 790 1 794 1 801 1 802 1 804 1 825 1 828 1 835 1 842 1 856 1 901 1 906 1 916 1 925 1 930 1 939 1 945 1 948 1 949 1 952 1 956 1 957 1 967 1 980 1 990 1 994 1 1003 1 1004 1 1007 1 1009 1 1013 1 1014 1 1021 1 1100 1 1105 1 1109 1 1113 1 1118 1 1133 1 1141 1 1143 1 1144 1 1146 1 1151 1 1157 1 1158 1 1171 1 1204 1 1208 1 1211 2 1215 1 1221 1 1228 1 1229 1 1230 1 1232 1 1245 1 1249 1 1251 1 1252 1 1270 1 1272 1 1273 1 1276 1 1279 1 1281 1 1283 1 9216 1 9265 1 9667 1 Respondent ID Respondent ID 175 0 1 146 2 26 3 2 4 1 Day of interview Date of Interview. Day. 175 0 1 31 15.783 8.849 1 3 2 5 3 10 4 5 5 6 6 6 7 7 8 4 9 5 10 7 11 3 12 9 13 3 14 8 15 5 16 7 17 4 18 5 19 9 20 4 21 8 22 9 23 3 24 5 25 1 26 6 27 3 28 7 29 8 30 6 31 4 Month of interview Date of Interview. Month. 175 0 3 24 4 35 5 44 6 23 7 32 8 17 Year of interview Date of Interview. Year. 175 0 2004 175 Unit Primary male respondent 175 0 1 170 2 4 3 1 Start date of water problem - Month Primary male respondent Start date of water problems. Month. 175 0 1 99 5.194 8.162 1 40 2 40 3 20 4 14 5 6 6 4 7 8 8 6 9 3 10 2 11 3 12 28 99 1 Start date of water problem - Year Primary male respondent Start date of water problems. Year. 175 0 2002 26 2003 80 2004 69 Duration of water problem Primary male respondent Duration (in Days) of water problem. 175 0 1 500 56.08 63.049 Reason water source was unusable Primary male respondent Reason water source was unusable. 175 0 BEING DRY 1 BIRD FELL IN WATER 1 BORE HOLE COLLAPSE 1 BORE HOLE COLLAPSED 1 BORE HOLE DRIED UP 1 BOREHOLE DRIED UP 4 BROKEN PIPES/CONCRET 1 CHANGE TO BROWN 1 CHANGED TO BROWN 6 CHANGED TO GREEN 1 CONTA. BY DEAD ANIMA 1 CONTAMINATED 12 CONTAMINATED BY SOIL 1 CONTAMINATION 4 DEAD ANIMAL FELL IN 1 DEAD RODENTS 1 DIRTY 1 DIRTY RUBBISH 1 DIRTY WATER 3 DRIED DUE TO DROUGHT 2 DRIED UP 36 DRIED UP DROUGHT 2 DRIED UP OF DROUGHT 2 DROUGHT 13 DROUGHT-DRIED UP 1 DRY SEASON 1 DRY WATER BED 1 DRY WATER WELL 1 DRY WELL 6 DRYING 12 DRYING OF WELL 1 FLOODED 2 FLOODED BOREHOLE 1 FLOODED WELL 1 FLOODING OCCURED 1 FLOODS 1 FLOODS/OVERFLOWING 1 GOT SPOILT 1 HEAVY RAINS 1 INSECT/COLOUR CHANGE 1 OVERFLOW 1 PIPE BLOCKAGE 1 PIPE BROKE 1 POLUTED BY SOIL 1 SILTING 2 SMELLY(CONTAMINATED) 1 SOILY 2 SPOILED PUMP 1 SPRING DRIED UP 1 SPRING DRIES 1 SPRING DRIES UP 1 THE RIVER DRIES 1 THE WELL DRIED UP 7 THE WELL DRIES 1 THE WELL DRIES UP 2 TREE FELL INSIDE 1 TURNED TO GREENISH 2 UNTREATED WATER 1 WATER DRIED UP 2 WATER SOURCE DRIED 1 WELL DRIED 2 WELL DRIED UP 8 WELL DRIES UP 1 WELL IS FLOODED 1 WELL WAS FLOODED 1 Unexpected event 61 0 1 Yes 61 2 No 0 Household ID Household ID 61 0 4 1272 640.443 403.808 4 1 14 1 17 1 50 1 53 2 61 1 93 1 104 1 171 3 254 1 259 1 304 1 306 1 352 1 360 1 361 1 365 1 428 1 457 1 475 1 481 1 483 1 509 1 542 1 552 1 559 1 593 1 611 1 616 1 620 1 652 1 679 1 775 1 779 1 800 1 805 1 902 1 923 1 946 1 947 1 972 1 973 1 1023 1 1100 2 1108 3 1118 1 1141 1 1144 1 1156 1 1171 1 1215 1 1221 1 1232 1 1248 1 1272 1 Respondent ID Respondent ID 61 0 1 51 2 9 3 1 Day of interview Date of Interview. Day. 61 0 1 30 16.475 8.348 1 2 2 1 3 1 4 2 5 1 6 1 7 1 8 4 9 1 10 2 11 3 12 1 13 1 14 5 16 8 17 1 18 1 19 1 20 2 21 5 22 3 24 1 25 1 26 1 27 1 28 6 30 4 Month of interview Date of Interview. Month. 61 0 3 7 4 19 5 8 6 10 7 13 8 4 Year of interview Date of Interview. Year. 61 0 2004 61 Count Primary male respondent 61 0 Month supposed to be paid Primary male respondent Date person was supposed to be paid. Month. 61 0 1 6 2 8 3 7 4 8 5 9 6 5 7 5 8 2 9 2 10 3 11 4 12 2 Year supposed to be paid Primary male respondent Date person was supposed to be paid. Year. 61 0 2001 1 2002 9 2003 23 2004 28 Amount were supposed to be paid Primary male respondent Amount person was supposed to be paid (KSh). 61 0 30 50000 6948.197 10134.167 Month actually paid Primary male respondent Date actually paid. Month 61 0 1 98 44.492 46.548 1 5 2 5 3 4 5 7 6 7 7 1 8 2 9 2 10 1 11 1 98 Not paid 26 Year actually paid Primary male respondent Date actually paid. Year. 61 0 98 2004 1191.295 950.122 98 Not paid 26 2002 2 2003 15 2004 18 Unexpected event 38 0 1 Yes 38 2 No 0 Household ID Household ID 38 0 4 1273 700.263 347.134 4 1 102 1 167 1 169 1 279 1 357 1 366 1 428 1 429 1 438 1 466 1 486 1 509 1 512 1 531 2 616 1 660 1 679 1 712 1 724 1 740 1 803 1 811 1 941 1 976 1 978 1 979 1 995 1 1018 1 1029 1 1030 1 1107 1 1120 1 1171 1 1221 1 1253 1 1273 1 Respondent ID Respondent ID 38 0 1 33 2 5 Day of interview Date of Interview. Day. 38 0 1 30 16.947 8.868 1 2 3 1 6 2 7 2 8 2 9 2 12 1 13 2 14 1 15 1 16 3 18 2 19 2 21 2 22 2 24 2 25 1 26 1 28 2 29 1 30 4 Month of interview Date of Interview. Month. 38 0 3 4 4 11 5 8 6 2 7 10 8 3 Year of interview Date of Interview. Year. 38 0 2004 38 Count Primary male respondent 38 0 Month lost a job Primary male respondent Date Job was Lost. Month. 38 0 1 99 12.079 21.085 1 1 2 3 3 5 4 3 5 2 6 1 7 3 8 4 9 1 10 2 11 3 12 8 99 2 Year lost a job Primary male respondent Date Job was Lost. Year. 38 0 2002 7 2003 22 2004 9 Monthly salary of the job Primary male respondent Monthly salary of the job (KSh). 38 0 99 10000 2934.184 2514.774 Unexpected event 153 0 1 Yes 153 2 No 0 Household ID Household ID 153 0 20 9667 673.516 1113.111 20 1 26 2 28 1 38 1 48 1 56 1 61 2 62 2 64 2 67 1 68 1 69 1 73 1 80 1 82 1 84 1 89 2 104 3 109 1 111 1 115 2 117 2 124 1 125 1 152 1 158 1 162 1 165 1 171 3 173 1 174 1 202 1 205 1 208 1 210 1 216 1 217 1 257 1 261 1 278 1 279 1 282 1 300 1 301 1 304 1 306 1 313 1 316 1 356 1 362 1 364 1 404 1 410 4 411 1 415 2 417 1 431 1 436 1 452 1 456 1 459 1 460 1 467 1 480 2 482 1 539 1 582 1 597 1 599 1 610 1 616 1 626 1 640 1 665 1 670 1 675 1 689 1 690 1 693 1 700 1 702 1 715 1 716 1 725 1 731 1 736 1 764 1 766 1 806 1 838 1 852 1 853 1 900 1 907 1 922 1 929 1 933 1 940 1 942 1 966 1 969 1 973 1 975 1 983 1 984 1 995 1 996 1 1002 1 1006 1 1013 1 1017 1 1028 1 1104 1 1108 1 1124 1 1130 2 1142 1 1158 1 1160 1 1167 1 1204 1 1208 1 1212 1 1216 1 1218 1 1219 1 1241 1 1251 1 1266 1 1272 1 1274 1 1281 1 1283 1 1284 1 9653 1 9667 1 Respondent ID Respondent ID 153 0 1 137 2 13 3 3 Day of interview Date of Interview. Day. 153 0 1 31 16.261 8.95 1 3 2 5 3 3 4 2 5 5 6 13 7 8 8 2 9 4 10 4 11 2 12 4 13 8 14 6 15 3 16 7 17 6 18 7 19 4 20 5 21 2 22 5 23 2 24 4 25 2 26 8 27 3 28 10 29 6 30 9 31 1 Month of interview Date of Interview. Month. 153 0 3 24 4 35 5 42 6 17 7 27 8 8 Year of interview Date of Interview. Year. 153 0 2004 153 Count Primary male respondent 153 0 Month of unexpected loss Primary male respondent Date of Unexpected Loss. Month. 153 0 1 99 10.928 21.021 1 12 2 13 3 14 4 22 5 9 6 13 7 10 8 14 9 8 10 9 11 7 12 14 99 8 Year of unexpected loss Primary male respondent Date of Unexpected Loss. Year. 153 0 2002 38 2003 69 2004 46 Amount of loss Primary male respondent Amount of Loss (KSh). 153 0 50 600000 9180.752 48891.81 Why have the loss Primary male respondent Why did you have the loss? 153 0 1 Default/non-payment 87 2 Theft 16 3 Fire 0 4 Unexpected price fall 18 5 Spoilage 22 6 Other (specify) 10 Transfers & Credits 1210 0 1 Yes 1210 2 No 0 Household ID Household ID 1210 0 1 9694 800.846 1230.626 1 1 3 2 4 2 5 2 6 2 7 2 8 2 9 2 10 2 11 2 12 2 13 2 14 2 15 1 16 2 17 2 18 2 19 2 20 1 21 2 22 2 23 1 24 1 25 2 26 2 27 2 28 2 29 2 30 1 31 1 32 2 33 1 34 2 35 1 38 2 39 2 41 2 43 1 44 2 46 1 47 1 48 2 49 1 50 1 51 1 53 2 55 1 56 1 58 1 60 2 61 2 62 2 64 2 65 2 66 1 67 2 68 1 69 2 70 2 73 1 74 1 75 2 76 2 77 1 78 1 79 1 80 2 82 2 84 1 89 1 93 2 94 2 95 2 97 1 98 2 99 1 102 1 103 2 104 2 106 2 108 2 109 2 110 1 111 1 112 2 113 1 114 1 115 2 117 2 120 1 121 1 123 1 124 1 125 2 128 1 150 2 151 2 152 2 154 2 155 1 156 2 158 2 161 2 162 2 163 1 164 1 165 1 166 2 167 2 168 1 169 1 170 2 171 1 172 1 173 2 174 2 200 1 201 2 202 1 203 2 204 2 205 1 206 2 207 2 208 2 209 2 210 2 211 2 212 2 213 2 216 1 217 2 218 1 219 1 221 1 222 2 223 2 250 1 251 1 252 2 253 2 254 2 255 1 256 2 257 2 258 2 259 2 260 2 261 2 262 2 263 2 264 2 265 2 266 2 267 2 268 2 269 2 273 1 274 1 275 2 276 2 277 2 278 1 279 2 280 2 281 2 282 1 300 2 301 2 302 2 303 1 304 2 305 1 306 2 307 1 309 2 310 1 311 1 312 1 313 2 314 2 315 1 316 1 317 1 318 2 350 1 351 1 352 2 353 2 354 2 355 2 356 1 357 2 358 1 359 2 360 2 361 2 362 2 363 1 364 1 365 2 366 2 368 1 369 1 372 1 400 2 401 1 402 2 403 1 404 2 405 1 406 2 407 2 409 1 410 2 411 1 412 2 415 1 416 1 417 2 418 1 419 2 420 1 421 2 422 1 423 2 425 1 426 1 427 2 428 2 429 2 430 2 431 2 434 1 436 2 438 2 450 1 451 1 452 1 453 1 454 2 455 2 456 3 457 2 458 1 459 2 460 2 461 1 462 2 463 1 464 1 465 2 466 2 467 2 468 2 469 2 470 2 473 1 475 2 476 2 477 1 478 1 479 2 480 2 481 2 482 2 483 2 484 1 485 2 486 1 487 1 488 1 489 1 490 1 500 2 501 1 502 1 504 2 505 1 506 2 507 1 508 2 509 2 510 2 511 2 512 2 513 1 514 2 515 1 516 1 518 2 519 2 520 2 521 2 522 2 523 1 524 2 525 2 526 2 527 2 528 2 529 2 530 1 531 1 532 1 533 2 534 2 535 2 537 2 538 1 539 1 540 2 541 1 542 2 543 1 544 2 545 2 546 2 547 1 548 1 549 1 550 2 551 2 552 1 554 2 556 1 557 2 559 1 560 2 562 1 563 1 564 2 565 1 566 2 568 1 580 1 581 1 582 1 585 1 587 1 588 2 589 1 590 1 591 2 593 1 594 2 595 2 597 2 598 1 599 1 600 2 601 1 602 1 603 2 604 2 605 2 606 1 607 2 608 2 609 2 610 2 611 1 612 1 614 1 615 2 616 2 617 1 618 2 619 1 620 2 621 2 622 2 623 2 624 2 625 2 626 2 627 1 628 1 630 2 631 2 632 2 633 1 634 2 635 2 637 2 639 1 640 1 652 2 653 1 656 1 658 2 660 2 663 1 665 1 666 1 667 2 670 1 671 2 673 2 674 2 675 2 676 2 677 2 678 1 679 2 680 2 681 1 682 2 683 1 686 1 687 2 688 2 689 2 690 1 691 2 692 2 693 1 694 1 696 1 697 2 698 2 699 2 700 2 701 1 702 2 703 1 706 2 707 2 708 2 709 2 710 2 711 2 712 2 715 2 716 2 717 2 720 2 721 2 722 1 723 2 724 2 725 1 726 1 727 2 728 1 730 1 731 2 732 1 733 2 735 1 736 1 737 1 738 1 739 2 740 2 741 1 742 2 746 2 747 2 748 2 751 1 752 1 755 2 757 2 758 2 764 1 766 2 775 1 776 2 779 2 780 2 781 2 783 2 784 1 786 1 787 1 790 2 791 1 792 1 793 2 794 1 800 1 801 1 802 1 803 1 804 1 805 1 806 1 807 1 808 1 809 1 810 1 811 1 812 1 813 2 814 1 815 1 816 1 817 1 818 1 819 1 820 1 821 1 822 1 823 1 824 1 825 1 826 2 827 1 828 1 829 2 830 1 831 1 832 1 833 1 834 1 835 1 836 1 837 1 838 1 839 1 840 1 841 1 842 1 843 1 844 2 845 1 846 2 847 2 848 1 849 1 850 2 851 1 852 1 853 1 854 1 855 1 856 1 900 1 901 1 902 2 903 1 904 1 905 1 906 1 907 1 908 1 909 1 911 1 912 1 913 2 914 1 915 1 916 1 917 1 918 2 919 1 920 1 921 1 922 1 923 1 924 1 925 1 926 1 927 1 928 1 929 1 930 1 931 1 932 1 933 1 934 1 935 1 936 1 937 1 938 1 939 1 940 1 941 2 942 1 943 2 944 1 945 1 946 1 947 1 948 1 949 1 950 1 951 1 952 1 953 1 954 1 955 1 956 1 957 1 958 1 959 1 960 1 961 1 962 1 963 1 964 2 965 1 966 1 967 1 968 1 969 1 970 1 971 1 972 1 973 1 974 1 975 1 976 1 977 1 978 1 979 2 980 1 982 1 983 1 984 1 985 1 986 1 987 1 988 1 989 1 990 1 991 1 992 1 993 1 994 1 995 1 996 1 997 1 998 1 999 1 1000 2 1001 1 1002 2 1003 1 1004 1 1005 1 1006 1 1007 1 1008 1 1009 1 1010 1 1011 1 1012 1 1013 1 1014 1 1015 1 1016 1 1017 1 1018 1 1019 1 1020 1 1021 1 1022 1 1023 1 1024 1 1025 1 1026 2 1027 1 1028 1 1029 1 1030 1 1031 1 1100 2 1101 1 1102 2 1104 2 1105 1 1106 2 1107 1 1108 2 1109 1 1110 2 1111 1 1113 1 1114 1 1115 2 1116 2 1117 1 1118 1 1119 2 1120 2 1121 1 1122 2 1123 1 1124 2 1125 2 1126 2 1127 1 1129 2 1130 2 1131 1 1132 1 1133 1 1134 1 1136 2 1137 1 1138 2 1139 2 1141 2 1142 2 1143 1 1144 1 1145 1 1146 1 1150 2 1151 2 1152 2 1153 1 1154 2 1155 2 1156 1 1157 2 1158 2 1159 1 1160 2 1161 2 1167 2 1168 1 1169 1 1170 1 1171 2 1173 1 1200 2 1201 1 1202 2 1203 2 1204 2 1205 2 1206 1 1207 1 1208 2 1209 2 1210 1 1211 2 1212 1 1214 2 1215 2 1216 2 1218 1 1219 2 1220 1 1221 2 1223 2 1225 2 1227 2 1228 2 1229 1 1230 2 1231 2 1232 2 1234 2 1235 2 1236 2 1237 1 1239 1 1240 2 1241 2 1242 1 1243 1 1244 1 1245 2 1246 2 1247 2 1248 2 1249 1 1250 2 1251 2 1252 1 1253 1 1254 2 1255 2 1257 1 1259 1 1261 2 1263 1 1264 2 1265 2 1266 2 1269 2 1270 2 1271 1 1272 2 1273 2 1274 2 1275 2 1276 2 1277 1 1278 2 1279 2 1280 1 1281 1 1282 2 1283 1 1284 2 1285 2 8043 2 9012 1 9019 1 9043 1 9134 1 9166 1 9210 1 9212 1 9216 1 9225 1 9240 1 9255 1 9265 1 9275 1 9280 1 9412 1 9518 1 9608 1 9616 1 9653 1 9667 1 9694 1 Respondent ID Respondent ID 1210 0 1 679 2 504 3 21 4 3 5 2 7 1 Day of interview Date of Interview. Day. 1210 0 1 31 15.864 8.729 1 22 2 36 3 38 4 46 5 45 6 43 7 46 8 33 9 45 10 47 11 31 12 32 13 45 14 50 15 39 16 48 17 34 18 31 19 50 20 41 21 41 22 51 23 24 24 23 25 26 26 48 27 40 28 51 29 39 30 48 31 17 Month of interview Date of Interview. Month. 1210 0 3 178 4 329 5 241 6 169 7 205 8 88 Year of interview Date of Interview. Year. 1210 0 2004 1210 Received money or goods since Jan 2003 Both the primary male and female respondents. Since January 2003, have you received money or goods from persons who are not members of your household? For example from children, parents, relatives or friends living elsewhere? Go to 15 (tr15 - variable name in dataset).]]> Ask the respondent if s/he has received money or goods for any persons who are not members of his/her household since January 2003. 1210 0 1 Yes 496 2 No 714 From how many people received money since Jan 2003 Both the primary male and female respondents. From how many different people did you receive money, goods, and/or gifts since January 2003? 496 714 Count of five largest Both the primary male and female respondents. 496 714 Have received any transfers from any organization Both the primary male and female respondents. Since January 2003, have you received any transfer from any organization or the government? Go to 19 (tr19 - variable name in dataset).]]> 1209 1 1 Yes 82 2 No 1127 Sysmiss 1 Count of organization Both the primary male and female respondents. 82 1128 Responsible for repaying any other loans Both the primary male and female respondents. Are you responsible for repaying any other loans including personal, family, or business loans? If answer is 2 > Go to section B (trb01 - variable name in dataset). 1210 0 1 Yes 269 2 No 939 8 2 Total amount the owe for repayment Both the primary male and female respondents. What is the total amount that you owe for repayment of these outstanding debts? Amount in KSh. 269 941 40 280000 15491.167 38890.631 Any part of debt incurred to pay for medical care Both the primary male and female respondents. Was any part of this debt incurred to pay for medical care? If answer is 2 > Go to section B (trb01 - variable name in dataset). These questions ask about the parts of the debts reported in Question 20 that are from loans for medical care. 269 941 1 Yes 81 2 No 183 8 5 Sysmiss 941 How much was incurred for medical care Both the primary male and female respondents. How much debt was incurred for medical care? Amount in KSh. These questions ask about the parts of the debts reported in Question 20 that are from loans for medical care. 81 1129 98 40000 6127.012 8553.816 Since Jan 2003 provided any money or goods Both the primary male and female respondents. Since January 2003, have you provided any money or goods to persons who are not members of your household? For example, to children, parents, friends or relatives living elsewhere? Go to 9 (trb09 - variable name in dataset).]]> 1210 0 1 Yes 541 2 No 669 Different people did you send money, gifts.. since Jan 2003 Both the primary male and female respondents. How many different people did you send money, goods, and/or gifts to since January 2003? 541 669 Any group anyone owe you money Both the primary male and female respondents. Does anyone or any group owe you money or goods that you expect to be repaid (that we have not discussed yet)? If answer is 2 > Go to section C (trc01 - variable name in dataset). 1210 0 1 Yes 261 2 No 947 8 2 Total amount owed to you Both the primary male and female respondents. What is the total amount owed to you from these other individuals or groups? Amount in KSh. 261 949 80 200000 10378.908 23685.547 Was any part of this loan made to pay for medical care Both the primary male and female respondents. Was any part of this loan made to pay for medical care? If answer is 2 > Go to section C (trc01 - variable name in dataset). 261 949 1 Yes 15 2 No 242 8 4 Sysmiss 949 How much lent to pay for medical care Both the primary male and female respondents. How much was lent to pay for medical care? Amount in KSh. 15 1195 100 10000 2131.333 2857.699 Participate in any informal savings organization Both the primary male and female respondents. Do you participate in any informal savings organizations with friends or neighbors, for example merry-go-rounds? If answer is 2 > Go to 14 (trc14a - variable name in dataset). 1210 0 1 Yes 267 2 No 943 How much contribute to the fund (Amount) Both the primary male and female respondents. How much do you contribute to this fund and how often? Amount. If more than one group, ask about the most important. 267 943 0 4000 337.015 411.529 How much contribute to the fund (Frequency) Both the primary male and female respondents. How much do you contribute to this fund and how often? Frequency code. If more than one group, ask about the most important. 267 943 1 once a week 127 2 every two weeks 34 3 once a month 103 4 every three months 2 5 every six months 0 6 once a year 1 7 less than once a year 0 Sysmiss 943 How much contributed since Jan 2003 Both the primary male and female respondents. How much did you contribute to this group since January 2003? In Question 3, you must ask for the total amount contributed by the respondent to the most important organization since January 2003. 267 943 50 48000 5747.464 6467.203 Members draw on regular basis Both the primary male and female respondents. Do members draw from this fund on a regular basis or only when there is an urgent need? If answer is 2 > Go to 6 (trc06 - variable name in dataset). 267 943 1 Regularly 253 2 Urgent need 12 3 Both 2 Sysmiss 943 How often members receive money Both the primary male and female respondents. How often does each member receive money from this fund? Frequency code. 255 955 1 once a week 10 2 every two weeks 8 3 once a month 81 4 every three months 74 5 every six months 46 6 once a year 31 7 less than once a year 4 8 1 Sysmiss 955 How much received since Jan 2003 Both the primary male and female respondents. How much did you receive from this group since January 2003? In Question 6, ask about the amount received by the respondent from the same organization since January 2003. 267 943 0 225000 6829.037 16061.307 Both the primary male and female respondents. When did you receive this amount? [list the 3 largest amounts, and the month/year when you received] Amount 1. 265 945 0 225000 3821.026 15054.564 Both the primary male and female respondents. When did you receive this amount? [list the 3 largest amounts, and the month/year when you received] Month 1. 264 946 1 43 2 22 3 33 4 24 5 28 6 13 7 12 8 16 9 5 10 7 11 9 12 13 98 Missing 39 99 Don't Know 0 Sysmiss 946 Both the primary male and female respondents. When did you receive this amount? [list the 3 largest amounts, and the month/year when you received] Year 1. 245 965 98 20 99 Don't Know 0 2001 1 2003 119 2004 105 Sysmiss 965 Both the primary male and female respondents. When did you receive this amount? [list the 3 largest amounts, and the month/year when you received] Amount 2. 152 1058 25 16800 2132.368 2590.465 Both the primary male and female respondents. When did you receive this amount? [list the 3 largest amounts, and the month/year when you received] Month 2. 152 1058 1 15 2 29 3 12 4 19 5 11 6 17 7 11 8 7 9 5 10 6 11 7 12 13 98 Missing 0 99 Don't Know 0 Sysmiss 1058 Both the primary male and female respondents. When did you receive this amount? [list the 3 largest amounts, and the month/year when you received] Year 2. 152 1058 99 Don't Know 0 2002 1 2003 73 2004 78 Sysmiss 1058 Both the primary male and female respondents. When did you receive this amount? [list the 3 largest amounts, and the month/year when you received] Amount 3. 93 1117 25 10000 1677.634 1874.227 Both the primary male and female respondents. When did you receive this amount? [list the 3 largest amounts, and the month/year when you received] Month 3. 92 1118 1 3 2 6 3 26 4 5 5 4 6 9 7 11 8 7 9 5 10 8 11 3 12 5 98 Missing 0 99 Don't Know 0 Sysmiss 1118 Both the primary male and female respondents. When did you receive this amount? [list the 3 largest amounts, and the month/year when you received] Year 3. 93 1117 99 Don't Know 0 2003 48 2004 45 Sysmiss 1117 When member has family problem will organ help by changing o Both the primary male and female respondents. When a member of the organization has a family problem, will the organization help by changing the order of payment? 267 943 1 Yes 230 2 No 34 8 3 Sysmiss 943 Both the primary male and female respondents. When a member of the organization has a family problem, will the organization help by changing the amount of payment to the member in need? 267 943 1 Yes 146 2 No 118 8 3 Sysmiss 943 Will organization help by collecting additional funds from o Both the primary male and female respondents. When a member of the organization has a family problem, will the organization help by collecting additional funds from other members? 267 943 1 Yes 198 2 No 66 8 3 Sysmiss 943 How many other informal savings organization participate in Both the primary male and female respondents. How many other informal savings organizations do you participate in? If answer is 0 > Go to 14 (trc14a - variable name in dataset). 267 943 0 98 1.633 11.916 How much contributed to all since Jan 2003 Both the primary male and female respondents. How much did you contribute to all of these other organizations since January 2003? Amount in KSh. 38 1172 50 45000 6772.105 9737.892 How much received from all organizations since Jan 2003 Both the primary male and female respondents. How much did you receive from all these other organizations since January 2003? Amount in KSh. 38 1172 0 36600 6185.184 8911.476 Have bank saving account Both the primary male and female respondents. Before I ask you the next question, I would like to stress that all the information collected on this questionnaire is completely confidential. The information you provide will not be divulged to other members of your family or your community, and will not be divulged to government authorities for tax purposes. Do you have any of the following? Bank savings account? Amount in KSh. 1210 0 0 Does not have 1026 98 Won’t say 9 Have bank checking account Both the primary male and female respondents. Before I ask you the next question, I would like to stress that all the information collected on this questionnaire is completely confidential. The information you provide will not be divulged to other members of your family or your community, and will not be divulged to government authorities for tax purposes. Do you have any of the following? Bank current account? Amount in KSh. 1210 0 0 Does not have 1197 98 Won’t say 4 Have other bank accounts Both the primary male and female respondents. Before I ask you the next question, I would like to stress that all the information collected on this questionnaire is completely confidential. The information you provide will not be divulged to other members of your family or your community, and will not be divulged to government authorities for tax purposes. Do you have any of the following? Other bank accounts? Amount in KSh. 1210 0 0 Does not have 1188 98 Won’t say 3 Other savings in home Both the primary male and female respondents. Before I ask you the next question, I would like to stress that all the information collected on this questionnaire is completely confidential. The information you provide will not be divulged to other members of your family or your community, and will not be divulged to government authorities for tax purposes. Do you have any of the following? Other savings in your home or in your friend/neighbour’s home? Amount in KSh. 1210 0 0 Does not have 845 98 Won’t say 5 The value of all accounts Both the primary male and female respondents. We have just discussed all of the accounts that you have plus your personal savings at home. In total what is the value of all of your accounts and your other savings outside these institutions, including foreign savings? In Question 15, ask about all other savings that the respondent has not yet mentioned. 1210 0 0 Does not have 845 98 Won’t say 6 Given any money to spouse since Jan. 2003 Both the primary male and female respondents. Since January 2003 have you given any money or goods to your spouse? If answer is 2 > Go to 10 (trd10 - variable name in dataset). 1210 0 1 Yes 555 2 No 426 8 229 Given count Both the primary male and female respondents. 555 655 Have received money from spouse since Jan 2003 Both the primary male and female respondents. Since January 2003 have you received any money from your spouse? 1210 0 1 Yes 540 2 No 441 8 229 Count of spouse Both the primary male and female respondents. 540 670 Transfers & Credits 875 0 1 Yes 875 2 No 0 Household ID Household ID 875 0 3 9694 947.454 1594.25 3 4 4 3 6 1 7 4 8 1 9 1 10 2 11 1 12 7 13 3 16 1 17 2 18 2 20 1 21 1 22 6 25 1 28 2 34 2 35 1 39 2 41 6 44 3 46 2 49 2 53 2 55 2 56 1 60 5 64 2 65 2 67 1 68 2 73 1 76 1 77 2 78 4 79 1 80 5 93 2 94 1 98 8 99 2 103 2 104 4 106 1 108 2 115 1 117 2 123 1 128 3 154 5 156 1 158 5 161 1 163 2 166 1 168 1 173 2 174 3 201 4 203 3 207 2 210 1 213 2 217 4 218 3 219 1 250 2 252 1 254 1 256 1 257 4 260 1 261 2 262 2 264 1 265 1 266 2 267 4 268 1 275 1 276 1 277 3 279 3 281 2 300 5 301 1 302 2 306 3 309 2 311 1 312 1 314 2 317 1 352 1 353 1 359 1 361 2 362 2 363 1 366 2 372 1 407 3 411 1 412 1 416 1 421 1 422 1 423 1 425 1 427 1 428 4 429 1 430 1 438 1 450 5 452 2 453 1 454 2 455 1 456 3 457 1 458 1 459 1 460 2 462 3 463 2 466 2 467 2 469 1 470 3 473 1 475 1 476 1 485 4 486 2 490 2 500 1 502 3 504 3 505 1 508 2 509 1 511 4 515 1 518 2 519 1 520 2 521 1 522 7 524 1 529 4 530 4 534 2 537 2 540 3 541 2 544 3 546 1 548 1 550 1 551 1 557 1 559 1 560 1 562 1 563 1 566 1 568 2 580 1 581 3 585 1 587 1 591 1 594 1 595 2 597 2 599 1 600 2 601 2 602 1 604 2 605 3 606 2 607 2 608 1 610 2 615 1 619 3 621 2 622 1 623 4 628 2 631 4 634 2 635 1 637 2 653 2 658 4 660 1 665 5 671 3 673 2 675 3 677 1 679 1 680 1 681 1 686 3 687 1 688 2 689 2 691 5 694 2 697 1 698 2 700 2 701 1 707 1 709 2 711 1 712 2 716 1 717 1 720 2 723 1 724 1 726 3 727 1 728 3 732 1 733 1 735 2 736 1 737 1 739 3 740 1 742 1 747 1 748 1 751 1 752 1 755 2 757 2 758 2 764 2 766 4 784 5 786 2 790 2 791 2 793 1 800 1 801 1 802 1 803 3 804 1 805 1 806 2 810 3 811 2 812 1 814 3 815 1 820 3 822 1 823 1 826 9 831 2 833 1 835 2 836 2 837 1 838 1 840 2 841 1 844 3 846 3 847 2 848 2 849 1 851 1 853 1 855 1 856 2 902 4 904 4 905 2 906 2 907 3 908 1 911 2 912 1 915 1 917 1 918 2 921 1 924 1 929 5 930 1 932 4 935 4 937 3 940 1 942 3 944 1 946 1 947 2 948 3 951 2 953 3 954 3 956 2 957 1 960 2 961 1 965 2 968 2 971 1 975 1 976 1 978 1 979 2 980 1 983 2 991 1 995 2 998 1 999 5 1000 3 1002 3 1003 2 1005 2 1007 1 1009 2 1013 2 1014 2 1015 1 1016 2 1018 2 1019 2 1024 1 1025 2 1027 3 1030 1 1100 1 1101 2 1105 1 1108 1 1111 2 1114 1 1119 3 1120 4 1121 1 1122 3 1126 2 1127 4 1129 2 1130 1 1131 5 1132 1 1137 2 1138 1 1139 1 1141 2 1144 1 1145 2 1146 2 1152 5 1154 2 1155 1 1156 1 1157 1 1159 1 1167 1 1171 2 1200 6 1202 3 1203 3 1204 6 1205 2 1207 2 1212 1 1214 3 1215 3 1216 3 1223 1 1225 2 1227 1 1230 5 1231 2 1232 3 1235 1 1236 1 1237 2 1240 11 1241 1 1242 4 1243 2 1244 4 1247 3 1249 1 1250 2 1253 2 1254 1 1255 1 1257 3 1263 2 1265 1 1269 2 1270 2 1272 1 1273 1 1275 1 1276 1 1277 1 1278 4 1282 1 1285 1 9019 2 9166 1 9210 1 9212 2 9216 2 9225 4 9240 5 9255 1 9265 2 9280 3 9518 1 9608 2 9667 2 9694 1 Respondent ID Respondent ID 875 0 1 421 2 432 3 17 4 2 5 3 Day of interview Date of Interview. Day. 875 0 1 31 16.095 8.912 1 18 2 19 3 27 4 39 5 36 6 31 7 29 8 11 9 50 10 37 11 19 12 23 13 29 14 40 15 18 16 37 17 25 18 15 19 28 20 32 21 18 22 41 23 24 24 16 25 24 26 33 27 32 28 36 29 35 30 42 31 11 Month of interview Date of Interview. Month. 875 0 3 119 4 197 5 176 6 151 7 164 8 68 Year of interview Date of Interview. Year. 875 0 2004 875 Individual roster ID Both the primary male and female respondents. Now I would like to ask you about all individuals from whom you have received something since January 2003. Individual Roster ID Copy IRID of [NAME] from IRoster or add [NAME] to IRoster if he/she is not yet listed. 792 83 1 494 2 187 3 68 4 27 5 15 6 1 Sysmiss 83 Individual roster ID Both the primary male and female respondents. Now I would like to ask you about all individuals from whom you have received something since January 2003. Individual Roster ID Copy IRID of [NAME] from IRoster or add [NAME] to IRoster if he/she is not yet listed. 875 0 01 1 02 3 03 7 04 26 05 26 06 35 07 28 08 34 09 41 10 25 11 28 12 18 13 12 14 2 15 3 16 1 17 3 18 2 19 3 20 1 22 1 R01 282 R02 165 R03 80 R04 30 R05 14 R06 2 R07 2 How much received from person Both the primary male and female respondents. 875 0 30 100000 2397.192 5784.549 Main reason received money Both the primary male and female respondents. What was the main reason for receiving this money or goods? If the transfer or credit was received or borrowed for more than one reason, write the code for the main reason. 875 0 1 Wedding expenses 10 2 Loan repayment 30 3 Transportation 25 4 Subsistence needs 509 5 Purchase of durable goods 9 6 Investment 69 7 Funeral 18 8 Gift 181 9 No specific reason 6 10 Other (specify) 18 Have to repay any part of the amount Both the primary male and female respondents. Do you have to repay any part of this amount? 875 0 1 Yes 120 2 No 750 8 5 How much has been repaid Both the primary male and female respondents. How much has been already repaid? Amount (KSh). 120 755 0 20000 2011.5 3563.395 How much expect to repay in future Both the primary male and female respondents. How much do you expect to repay in the future? Amount (KSh). 120 755 0 100000 4091.667 12197.082 Transfers & Credits 978 0 1 Yes 978 2 No 0 Household ID Household ID 978 0 3 9694 986.287 1669.425 3 4 4 3 6 2 7 7 8 1 9 1 10 2 11 1 12 7 13 1 16 3 17 5 18 2 20 1 21 1 22 8 25 1 28 2 35 1 39 2 41 1 46 2 49 2 53 2 55 2 56 2 60 5 64 2 65 2 67 1 68 2 73 1 76 1 77 2 78 4 79 2 80 5 93 2 94 1 98 8 99 2 103 2 104 4 106 1 108 2 115 1 117 3 123 1 128 3 154 5 156 1 158 5 161 1 163 2 166 1 168 1 173 2 174 3 201 4 203 3 207 2 210 1 213 2 217 4 218 3 219 1 250 2 252 1 254 1 256 1 257 4 260 1 261 2 262 2 264 1 265 1 266 2 267 4 268 1 275 1 276 1 277 2 279 3 281 2 300 5 301 1 302 2 306 3 309 2 311 1 312 1 314 5 317 4 352 1 353 1 359 1 361 2 362 2 363 1 366 2 372 5 407 3 411 1 412 1 416 1 421 1 422 2 423 1 425 1 427 2 428 4 429 1 430 1 438 1 450 5 452 2 453 1 454 2 455 1 456 3 457 1 458 1 459 1 460 2 462 3 463 2 466 2 467 2 469 1 470 3 473 2 475 1 476 1 485 4 486 2 490 2 500 2 502 5 504 3 505 3 508 4 509 2 511 5 515 1 518 3 519 1 520 2 521 1 522 7 524 1 529 4 530 4 534 2 537 4 540 3 541 5 544 5 546 1 548 1 550 1 551 1 557 1 559 1 560 1 562 2 563 5 566 1 568 2 580 1 581 3 585 1 587 1 591 1 594 1 595 2 597 2 599 1 600 2 601 2 602 1 604 2 605 3 606 2 607 2 608 1 610 2 615 1 619 3 621 2 622 1 623 4 628 2 631 4 634 2 635 1 637 2 653 4 658 4 660 1 665 5 671 3 673 2 675 3 677 1 679 2 680 1 681 1 686 3 687 1 688 3 689 2 691 6 694 2 697 1 698 2 700 2 701 1 707 1 709 2 711 1 712 2 716 1 717 1 720 2 723 1 724 1 726 5 727 3 728 5 732 1 733 1 735 2 736 5 737 1 739 3 740 1 742 1 747 1 748 1 751 1 752 3 755 5 757 2 758 5 764 2 766 4 784 5 786 2 790 2 791 2 793 1 800 1 801 1 802 1 803 3 804 1 805 1 806 2 810 3 811 2 812 1 814 3 815 1 820 3 822 1 823 1 826 10 831 2 833 1 835 2 836 2 837 1 838 1 840 5 841 1 844 5 846 3 847 2 848 5 849 1 851 5 853 1 855 1 856 2 902 4 904 4 905 2 906 2 907 3 908 1 911 2 912 1 915 1 917 1 918 2 921 1 924 1 929 5 930 1 932 4 935 4 937 5 940 1 942 3 944 1 946 1 947 2 948 3 951 2 953 3 954 3 956 2 957 1 960 2 961 1 965 2 968 2 971 1 975 1 976 1 978 1 979 2 983 5 991 1 995 2 998 1 999 5 1000 3 1002 5 1003 2 1005 2 1007 1 1009 2 1013 2 1014 5 1015 1 1016 2 1018 2 1019 2 1024 1 1025 2 1027 3 1030 1 1100 1 1101 2 1105 1 1108 1 1111 2 1114 1 1119 3 1120 4 1121 1 1122 5 1126 2 1127 5 1129 2 1130 1 1131 5 1132 1 1137 5 1138 1 1139 1 1141 2 1144 2 1145 2 1146 2 1152 5 1154 2 1155 1 1156 1 1157 1 1159 1 1167 1 1171 2 1200 9 1202 5 1203 3 1204 6 1205 2 1207 2 1212 1 1214 3 1215 3 1216 3 1223 1 1225 2 1227 1 1230 5 1231 2 1232 3 1235 1 1236 1 1237 2 1240 11 1241 1 1242 4 1243 2 1244 4 1247 4 1249 1 1250 2 1253 2 1254 1 1255 1 1257 5 1263 2 1265 1 1269 2 1270 2 1272 1 1273 1 1275 1 1276 1 1277 1 1278 4 1282 1 1285 1 9019 5 9166 2 9210 1 9212 2 9216 2 9225 4 9240 5 9255 1 9265 2 9280 3 9518 1 9608 2 9667 5 9694 1 Respondent ID Respondent ID 978 0 1 471 2 481 3 21 4 2 5 3 Day of interview Date of Interview. Day. 978 0 1 31 16.193 8.895 1 20 2 27 3 30 4 42 5 37 6 34 7 31 8 9 9 49 10 36 11 23 12 26 13 35 14 43 15 26 16 47 17 29 18 17 19 29 20 38 21 20 22 49 23 24 24 20 25 26 26 38 27 36 28 37 29 38 30 48 31 14 Month of interview Date of Interview. Month. 978 0 3 129 4 224 5 191 6 174 7 188 8 72 Year of interview Date of Interview. Year. 978 0 2004 978 Individual roster ID Both the primary male and female respondents. Now I would like to ask you about the five largest individual transfers or loans you have received since January 2003. Individual Roster ID of Sender 978 0 1 489 2 260 3 116 4 66 5 46 6 1 Individual roster ID Both the primary male and female respondents. Now I would like to ask you about the five largest individual transfers or loans you have received since January 2003. Individual Roster ID of Sender 978 0 01 1 02 4 03 10 04 29 05 27 06 43 07 32 08 41 09 47 10 29 11 30 12 20 13 15 14 2 15 3 16 1 17 3 18 2 19 3 20 1 22 1 R01 323 R02 181 R03 84 R04 29 R05 12 R06 3 R07 2 How much received from this person Both the primary male and female respondents. How much did you receive from this person(money amount or value of goods)? Amount in KSh. The focus is on individual transfers/loans since we are interested in the exact month when they were received (so if a person sent the respondent two transfers in 2003, the transfers should be counted separately). 978 0 30 100000 2041.445 4782.825 Month when received Both the primary male and female respondents. When did you receive this amount? Month. 978 0 1 99 6.826 9.207 1 108 2 106 3 93 4 159 5 66 6 60 7 38 8 53 9 26 10 33 11 28 12 200 98 3 99 5 Year when received Both the primary male and female respondents. When did you receive this amount? Year. 978 0 2000 1 2002 5 2003 499 2004 473 Have to repay any part of the amount Both the primary male and female respondents. Do you have to repay any part of this amount? If answer is 2 > Go to next person. 978 0 1 Yes 115 2 No 860 8 3 How much has been repaid Both the primary male and female respondents. How much has been already repaid? Amount (KSh). 115 863 0 20000 2018.957 3544.542 How much expected to repay in future Both the primary male and female respondents. How much do you expect to repay in the future? Amount (KSh). 115 863 0 100000 3256.522 10393.857 Transfers & Credits 85 0 1 Yes 85 2 No 0 Household ID Household ID 85 0 18 1248 718 281.226 18 1 104 2 117 1 158 2 173 2 201 1 206 1 361 1 362 1 431 1 455 1 524 2 560 2 563 1 564 1 582 1 588 1 590 1 594 1 595 1 610 1 611 1 625 1 677 1 689 1 693 1 696 1 700 1 710 1 715 1 737 1 741 1 776 1 802 1 804 1 805 1 806 1 807 1 808 1 809 1 812 1 815 1 816 1 818 1 819 1 821 1 822 1 824 1 825 1 826 1 828 1 831 1 832 1 834 1 837 1 839 1 843 1 844 1 845 1 851 1 852 1 902 1 909 1 919 1 932 1 935 1 943 1 947 1 961 1 964 1 969 1 972 1 987 1 1019 1 1161 1 1231 1 1232 1 1234 1 1245 1 1248 1 Respondent ID Respondent ID 85 0 1 68 2 13 3 4 Day of interview Date of Interview. Day. 85 0 1 31 17.188 9.395 1 1 2 4 3 2 4 6 5 2 6 2 7 1 9 4 10 5 11 2 12 1 13 3 14 2 15 2 16 5 17 2 19 1 20 1 21 2 22 1 24 4 25 11 26 2 27 6 28 8 29 2 30 1 31 2 Month of interview Date of Interview. Month. 85 0 3 6 4 12 5 30 6 28 7 5 8 4 Year of interview Date of Interview. Year. 85 0 2004 85 Count Both the primary male and female respondents. 85 0 Name of organization Both the primary male and female respondents. What is the name of the organization? 85 0 1 Government 9 2 Clan 1 3 Other (specify) 74 8 1 How frequently received transfers Both the primary male and female respondents. How frequently did you receive these transfers in 2003? 85 0 1 once a week 32 2 every two weeks 2 3 once a month 14 4 every three months 0 5 every six months 1 6 once a year 33 7 less than once a year 2 8 1 Amount received each time Both the primary male and female respondents. What amount did you receive each time, on average? Amount in KSh. 85 0 90 350000 27271.753 61953.251 Transfers & Credits 1001 0 1 Yes 1001 2 No 0 Household ID Household ID 1001 0 1 9694 756.528 1337.293 1 2 3 5 5 2 7 1 8 3 9 4 10 1 11 1 13 4 17 2 19 1 21 1 22 2 25 5 26 4 27 1 28 4 29 5 30 2 31 2 32 2 33 5 34 1 38 1 43 2 44 1 48 1 49 1 53 1 58 5 60 7 61 1 62 2 64 5 65 2 67 4 69 1 73 2 75 2 80 1 82 5 94 1 95 1 97 1 99 1 102 4 103 4 104 1 106 3 109 4 110 1 111 3 112 9 113 3 114 3 115 4 117 4 121 1 123 1 125 2 128 3 151 4 154 1 156 2 158 7 161 3 163 1 164 2 167 7 169 2 170 4 173 1 201 4 202 1 203 4 204 4 205 2 206 4 207 2 208 6 210 3 212 5 216 4 218 1 219 1 221 1 222 3 223 1 250 6 253 1 254 3 256 5 257 1 258 2 259 1 260 1 261 2 262 1 263 1 264 2 265 2 266 3 267 1 268 2 269 5 273 1 274 1 277 2 279 4 280 1 300 1 301 1 303 2 304 1 306 6 307 2 309 4 311 2 312 3 313 4 314 3 316 2 318 1 351 2 352 1 353 3 356 1 357 2 358 1 360 1 361 1 362 1 365 2 366 1 368 2 402 3 403 3 404 6 405 4 406 5 407 4 409 1 410 7 411 2 412 5 415 3 416 2 419 2 423 1 425 1 426 1 428 1 429 5 431 5 434 3 436 4 438 3 452 2 454 1 456 7 458 2 459 1 460 5 461 1 462 3 467 1 468 5 469 3 470 5 475 1 476 2 478 3 479 4 480 3 481 1 482 6 483 3 484 1 485 5 486 1 487 4 488 6 489 3 490 2 500 1 501 1 502 2 504 1 506 3 508 1 509 3 510 1 511 2 512 1 518 1 521 1 522 2 523 3 526 1 528 1 529 2 531 1 532 2 537 1 540 2 542 1 544 2 545 1 546 5 548 4 554 3 557 3 559 1 566 6 568 2 580 1 582 2 585 1 590 1 591 1 593 2 594 1 595 1 597 1 599 3 600 4 602 1 603 5 605 4 606 2 607 4 609 3 610 2 611 1 614 4 615 2 618 3 619 2 620 4 621 3 622 3 624 1 625 1 626 2 632 2 633 2 634 2 656 1 658 2 660 2 663 1 666 1 667 1 670 2 674 3 676 1 678 2 679 2 682 3 683 2 687 2 688 1 689 2 697 1 698 2 699 3 700 3 703 1 708 1 709 1 710 3 711 2 712 1 715 5 716 2 717 2 720 2 721 2 723 1 727 1 731 2 738 1 740 3 741 4 742 1 746 2 747 1 751 1 752 1 755 1 758 1 766 2 776 2 779 5 780 1 781 4 783 4 787 3 790 1 791 1 793 1 794 1 800 1 801 3 803 1 804 1 805 6 806 1 811 1 817 2 825 2 830 1 837 2 838 3 842 5 843 1 844 2 849 1 850 1 852 1 854 6 855 1 902 2 907 1 915 1 916 2 920 1 922 1 934 5 936 2 938 1 939 1 941 2 943 1 945 3 947 1 950 2 953 1 959 1 962 2 969 2 972 2 973 1 974 1 986 2 987 3 992 2 996 1 1003 1 1006 2 1012 1 1013 1 1016 2 1021 1 1022 1 1024 2 1100 3 1101 2 1104 2 1106 2 1107 1 1109 2 1110 2 1115 1 1116 2 1117 1 1118 3 1119 4 1122 2 1123 3 1124 3 1126 1 1127 3 1129 1 1130 1 1136 3 1137 2 1138 3 1139 2 1141 4 1142 1 1143 1 1144 2 1151 1 1154 1 1155 4 1157 2 1159 1 1160 2 1161 4 1167 1 1169 2 1171 3 1202 1 1204 3 1205 1 1208 2 1209 1 1210 1 1211 2 1215 1 1216 1 1218 1 1219 2 1220 2 1221 1 1223 1 1225 3 1227 3 1228 1 1230 2 1234 4 1236 6 1239 2 1241 1 1245 2 1248 1 1249 2 1250 1 1251 1 1254 2 1255 5 1263 1 1264 1 1265 2 1266 4 1270 1 1271 2 1272 3 1273 1 1276 5 1279 1 1285 2 8043 3 9012 2 9019 2 9043 2 9210 1 9225 2 9240 2 9255 2 9412 3 9518 1 9667 1 9694 2 Respondent ID Respondent ID 1001 0 1 472 2 518 3 11 Day of interview Date of Interview. Day. 1001 0 1 31 16.528 8.57 1 15 2 26 3 31 4 22 5 30 6 37 7 43 8 34 9 20 10 38 11 19 12 19 13 42 14 40 15 31 16 42 17 41 18 29 19 60 20 40 21 35 22 32 23 19 24 22 25 30 26 34 27 30 28 44 29 28 30 47 31 21 Month of interview Date of Interview. Month. 1001 0 3 217 4 320 5 164 6 105 7 144 8 51 Year of interview Date of Interview. Year. 1001 0 2004 1001 Individual roster ID Both the primary male and female respondents. Now I would like to ask you about all individuals to whom you have sent something since January 2003. Individual Roster ID Copy IRID of [NAME] from IRoster or add [NAME] to IRoster if he/she is not yet listed. 1001 0 1 544 2 272 3 116 4 43 5 19 6 7 Individual roster ID Both the primary male and female respondents. Now I would like to ask you about all individuals to whom you have sent something since January 2003. Individual Roster ID Copy IRID of [NAME] from IRoster or add [NAME] to IRoster if he/she is not yet listed. 981 0 02 1 03 2 04 4 05 5 06 3 07 2 08 7 09 4 10 9 11 7 12 4 13 1 16 2 21 1 R01 299 R02 277 R03 185 R04 93 R05 45 R06 17 R07 7 R08 4 R09 1 R10 1 How much sent to person Both the primary male and female respondents. 981 20 20 55000 1461.411 3795.776 Main reason send this money/goods Both the primary male and female respondents. What was the main reason for sending this money or goods? 981 20 1 Wedding expenses 299 2 Loan repayment 40 3 Transportation 22 4 Subsistence needs 303 5 Purchase of durable goods 16 6 Investment 82 7 Funeral 8 8 Gift 154 9 No specific reason 5 10 Other (specify) 52 Sysmiss 20 Expect that any part of the money will be repaid Both the primary male and female respondents. Do you expect that any part of this amount will be repaid to you? If answer is 2 > Go to next person. 981 20 1 Yes 178 2 No 803 Sysmiss 20 How much has alread been repaid Both the primary male and female respondents. How much has been already repaid? Amount (KSh). 178 823 0 10000 884.27 1662.949 How much expect to be repaid in the future Both the primary male and female respondents. How much do you expect to be repaid in the future? Amount (KSh). 178 823 0 26500 2187.472 3706.615 Transfers & Credits 850 0 1 Yes 850 2 No 0 Household ID Household ID 850 0 Respondent ID Respondent ID 850 0 Day of interview Date of Interview. Day. 850 0 Month of interview Date of Interview. Month. 850 0 Year of interview Date of Interview. Year. 850 0 ID code of spouse ID code of spouse 559 291 ID code of spouse ID code of spouse 850 0 Total amount given since Jan 2003 What is the total amount you have given ID since January 2003? 559 291 99 190000 16513.181 23373.2 Does any of the amount have to be paid back Does any of this amount have to be paid back? If answer is 2 > Go to 7 (trd07 - variable name in dataset). 559 291 1 Yes 12 2 No 546 8 1 Sysmiss 291 How much has ID paid back so far How much has [ID] paid back so far? 12 838 0 10000 950 2865.627 How much expect ID to pay back How much more do you expect [ID] to pay back? 12 838 0 5000 1541.667 1751.082 Main reason for giving the money - 1 What was the main reason for giving this money to [ID]? List up to 3 reasons. 559 291 1 98 5.97 4.487 1 medical care 75 2 funeral expenses 0 3 school expenses 15 4 wedding expenses 1 5 transportation 21 6 household maintenance 255 7 subsistence needs 101 8 purchase of a durable good 42 9 investment 43 10 other (specify) 5 Main reason for giving the money - 2 What was the main reason for giving this money to [ID]? List up to 3 reasons. 416 434 1 medical care 8 2 funeral expenses 0 3 school expenses 2 4 wedding expenses 1 5 transportation 6 6 household maintenance 104 7 subsistence needs 259 8 purchase of a durable good 21 9 investment 14 10 other (specify) 1 Sysmiss 434 Main reason for giving the money - 3 What was the main reason for giving this money to [ID]? List up to 3 reasons. 166 684 1 medical care 17 2 funeral expenses 1 3 school expenses 6 4 wedding expenses 1 5 transportation 5 6 household maintenance 21 7 subsistence needs 76 8 purchase of a durable good 24 9 investment 14 10 other (specify) 1 Sysmiss 684 Give ID money regularly Do you give [ID] money regularly? If answer is 2 > Go to 10 (trd10 - variable name in dataset). 559 291 1 Yes 249 2 No 307 8 3 Sysmiss 291 How much give regularly (Amount) How much do you give [ID] regularly? Amount. 249 601 50 10000 1033.373 1522.16 How much give regularly (Frequency) How much do you give [ID] regularly? Frequency code. 249 601 1 once a week 133 2 every two weeks 12 3 once a month 100 4 every three months 2 5 every six months 0 6 once a year 0 7 less than once a year 1 8 1 Sysmiss 601 ID code of spouse ID code of spouse 540 310 ID code of spouse ID code of spouse 540 310 Total amount ID has given since Jan 2003 What is the total amount [ID] has given you since January 2003? 540 310 20 126000 9220.074 16363.649 Have to pay back any of this amount Do/did you have to pay back any of this amount? If answer is 2 > Go to 16 (trd16 - variable name in dataset). 540 310 1 Yes 7 2 No 533 Sysmiss 310 How much has been paid back How much has been paid back so far? 7 843 0 4000 1314.286 1421.77 How much more expect to pay back How much more do you expect to have to pay back? 7 843 0 3200 742.857 1158.817 Main reason why given money - 1 What was the main reason why [ID] gave you this money? List up to 3 reasons. 540 310 1 98 6.339 4.292 1 medical care 22 2 funeral expenses 1 3 school expenses 20 4 wedding expenses 1 5 transportation 49 6 household maintenance 257 7 subsistence needs 129 8 purchase of a durable good 6 9 investment 41 10 other (specify) 13 98 1 Sysmiss 310 Main reason why given money - 2 What was the main reason why [ID] gave you this money? List up to 3 reasons. 351 499 1 medical care 14 2 funeral expenses 0 3 school expenses 10 4 wedding expenses 0 5 transportation 11 6 household maintenance 55 7 subsistence needs 240 8 purchase of a durable good 9 9 investment 12 10 other (specify) 0 Sysmiss 499 Main reason why given money - 3 What was the main reason why [ID] gave you this money? List up to 3 reasons. 100 750 1 medical care 2 2 funeral expenses 0 3 school expenses 4 4 wedding expenses 0 5 transportation 3 6 household maintenance 6 7 subsistence needs 35 8 purchase of a durable good 13 9 investment 36 10 other (specify) 1 Sysmiss 750 Get money from ID regularly Do you get money from [ID] regularly? If answer is 2 > End. 540 310 1 Yes 148 2 No 389 8 3 Sysmiss 310 How much does ID give regularly (Amount) How much does [ID] give you regularly? Amount. 148 702 1 7000 1334.196 1696.601 How much does ID give regularly (Frequence) How much does [ID] give you regularly? Frequency code. 148 702 1 once a week 27 2 every two weeks 2 3 once a month 114 4 every three months 2 5 every six months 0 6 once a year 1 7 less than once a year 0 8 2 Sysmiss 702 Time allocation module done 12300 0 1 Yes 12300 2 No 0 Household ID Household ID 12300 0 1 9694 889.498 1438.451 1 15 3 15 4 15 5 15 6 15 7 15 8 15 9 15 10 15 11 15 12 15 13 15 14 15 15 15 16 15 17 15 18 15 19 15 20 15 21 15 22 15 23 15 24 15 25 15 26 15 27 15 28 15 29 15 30 15 31 15 32 15 33 15 34 15 35 15 38 15 39 15 41 15 43 15 44 15 46 15 47 15 48 15 49 15 50 15 51 15 53 15 55 15 56 15 58 15 60 15 61 15 62 15 64 15 65 15 66 15 67 15 68 15 69 15 70 15 73 15 74 15 75 15 76 15 77 15 78 15 79 15 80 15 82 15 84 15 89 15 93 15 94 15 95 15 97 15 98 15 99 15 102 15 103 15 104 15 106 15 108 15 109 15 110 15 111 15 112 15 113 15 114 15 115 15 117 15 120 15 121 15 123 15 124 15 125 15 128 15 150 15 151 15 152 15 154 15 155 15 156 15 158 15 161 15 162 15 163 15 164 15 165 15 166 15 167 15 168 15 169 15 170 15 171 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1114 15 1115 15 1116 15 1117 15 1118 15 1119 15 1120 15 1121 15 1122 15 1123 15 1124 15 1125 15 1126 15 1127 15 1129 15 1130 15 1131 15 1132 15 1133 15 1134 15 1136 15 1137 15 1138 15 1139 15 1141 15 1142 15 1143 15 1144 15 1145 15 1146 15 1150 15 1151 15 1152 15 1153 15 1154 15 1155 15 1156 15 1157 15 1158 15 1159 15 1160 15 1161 15 1167 15 1168 15 1169 15 1170 15 1171 15 1173 15 1200 15 1201 15 1202 15 1203 15 1204 15 1205 15 1206 15 1207 15 1208 15 1209 15 1210 15 1211 15 1212 15 1214 15 1215 15 1216 15 1218 15 1219 15 1220 15 1221 15 1223 15 1225 15 1227 15 1228 15 1229 15 1230 15 1231 15 1232 15 1234 15 1235 15 1236 15 1237 15 1239 15 1240 15 1241 15 1242 15 1243 15 1244 15 1245 15 1246 15 1247 15 1248 15 1249 15 1250 15 1251 15 1252 15 1253 15 1254 15 1255 15 1257 15 1259 15 1261 15 1263 15 1264 15 1265 15 1266 15 1269 15 1270 15 1271 15 1272 15 1273 15 1274 15 1275 15 1276 15 1277 15 1278 15 1279 15 1280 15 1282 15 1283 15 1284 15 1285 15 8043 15 9012 15 9019 15 9043 15 9134 15 9166 15 9210 15 9212 15 9216 15 9225 15 9240 15 9255 15 9265 15 9275 15 9280 15 9412 15 9518 15 9608 15 9616 15 9653 15 9667 15 9694 15 Respondent ID Respondent ID 12300 0 1 4335 2 7515 3 330 4 45 5 30 6 15 7 15 10 15 Day of interview Date of Interview. Day. 12300 0 1 31 15.906 8.663 1 195 2 375 3 345 4 465 5 435 6 435 7 480 8 345 9 495 10 480 11 330 12 345 13 450 14 480 15 450 16 510 17 285 18 300 19 510 20 405 21 420 22 495 23 255 24 270 25 345 26 450 27 390 28 570 29 375 30 450 31 165 Month of interview Date of Interview. Month. 12300 0 3 1650 4 3090 5 2355 6 2130 7 2220 8 855 Year of interview Date of Interview. Year. 12300 0 2004 12300 Count of people 12300 0 ID Code members 8 yrs & above The primary female respondent ID Code List the ID codes of all household members 8 years and older. All household members 8 years and older. 3811 8489 1 820 2 779 3 644 4 511 5 393 6 280 7 170 8 105 9 58 10 24 11 13 12 7 13 5 14 1 15 1 Sysmiss 8489 ID Code The primary female respondent ID Code List the ID codes of all household members 8 years and older. All household members 8 years and older. 3810 8490 1 820 2 773 3 613 4 496 5 381 6 289 7 189 8 116 9 59 10 32 11 19 12 11 13 4 14 3 15 3 16 2 Sysmiss 8490 Hours spent on meals in past week The primary female respondent In the past 7 days (since last ____) how many hours has [NAME] spent preparing meals, cleaning the house, doing the laundry or shopping for food? Total hrs. for the week. All household members 8 years and older. 3810 8490 0 99 9.213 13.425 Hours spent on firewood The primary female respondent In the past 7 days how many hours has [NAME] spent collecting firewood for your household? All household members 8 years and older. 3810 8490 0 99 2.086 9.106 Hours spent on collecting water in past week The primary female respondent In the past 7 days how many hours has [NAME] spent collecting water? All household members 8 years and older. 3810 8490 0 99 3.022 8.935 How many days were work activities in past week The primary female respondent All household members 8 years and older. 3810 8490 How many days was too sick to perform any work in past week The primary female respondent In the past 7 days, for how many days was [NAME] too sick to perform any work? All household members 8 years and older. 3810 8490 How many days spent on seeking medical care The primary female respondent In the past 7 days, how many hours did [NAME] spend seeking medical care (either for himself/herself or a family member) or caring for sick household members (either at home or in the hospital)? For example, travelling to a health establishment, waiting, being treated, buying medicine, feeding the patient, etc. All household members 8 years and older. 3810 8490 0 99 1.583 9.258 Has spent any time helping others in past 7 days The primary female respondent In the past 7 days has [NAME] spent any time helping others not in the household with work on their shambas or businesses without payment? If answer is 2 > Go to next person. All household members 8 years and older. 3810 8490 1 Yes 138 2 No 3657 9 15 Sysmiss 8490 How many hours spent in helping other The primary female respondent In the past 7 days, how many hours did [NAME] spend in helping these people? All household members 8 years and older. 138 12162 1 40 7.174 7.355 Who were these people - IRID Code The primary female respondent List IRID Codes and hours for two most important people. All household members 8 years and older. 138 0 03 1 07 1 08 2 09 2 18 2 20 1 R01 89 R02 23 R03 4 R04 5 R05 1 R07 7 Who were these people - Hours The primary female respondent Who were these people? Hours. List IRID Codes and hours for two most important people. All household members 8 years and older. 138 12162 1 98 13.152 23.563 Who were these people - IRID Code The primary female respondent Who were these people? IRID Code. List IRID Codes and hours for two most important people. All household members 8 years and older. 10 0 00 1 10 2 20 1 R01 1 R02 5 Who were these people - hours The primary female respondent List IRID Codes and hours for two most important people. All household members 8 years and older. 9 12291 Knowledge & behavior module 1211 0 1 Yes 1211 2 No 0 Household ID Household ID 1211 0 1 9694 800.201 1230.322 1 1 3 2 4 2 5 2 6 2 7 2 8 2 9 2 10 2 11 2 12 2 13 2 14 2 15 1 16 2 17 2 18 2 19 2 20 2 21 2 22 2 23 1 24 1 25 2 26 2 27 2 28 2 29 2 30 1 31 1 32 2 33 1 34 2 35 1 38 2 39 2 41 2 43 1 44 2 46 1 47 1 48 2 49 1 50 1 51 1 53 2 55 1 56 1 58 1 60 2 61 2 62 2 64 2 65 2 66 1 67 2 68 1 69 2 70 2 73 1 74 1 75 2 76 2 77 1 78 1 79 1 80 2 82 2 84 1 89 1 93 2 94 2 95 2 97 1 98 2 99 1 102 1 103 2 104 2 106 2 108 2 109 2 110 1 111 1 112 2 113 1 114 1 115 2 117 2 120 1 121 1 123 1 124 1 125 2 128 1 150 2 151 2 152 2 154 2 155 1 156 2 158 2 161 2 162 2 163 1 164 1 165 1 166 2 167 2 168 1 169 1 170 2 171 1 172 1 173 2 174 2 200 1 201 2 202 1 203 2 204 2 205 1 206 2 207 2 208 2 209 2 210 2 211 2 212 2 213 2 216 1 217 2 218 1 219 1 221 1 222 2 223 2 250 1 251 1 252 2 253 2 254 2 255 1 256 2 257 2 258 2 259 2 260 2 261 2 262 2 263 2 264 2 265 2 266 2 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1015 1 1016 1 1017 1 1018 1 1019 1 1020 1 1021 1 1022 1 1023 1 1024 1 1025 1 1026 2 1027 1 1028 1 1029 1 1030 1 1031 1 1100 2 1101 1 1102 2 1104 2 1105 1 1106 2 1107 1 1108 2 1109 1 1110 2 1111 1 1113 1 1114 1 1115 2 1116 2 1117 1 1118 1 1119 2 1120 2 1121 1 1122 2 1123 1 1124 2 1125 2 1126 2 1127 1 1129 2 1130 2 1131 1 1132 1 1133 1 1134 1 1136 2 1137 1 1138 2 1139 2 1141 2 1142 2 1143 1 1144 1 1145 1 1146 1 1150 2 1151 2 1152 2 1153 1 1154 2 1155 2 1156 1 1157 2 1158 2 1159 1 1160 2 1161 2 1167 2 1168 1 1169 1 1170 1 1171 2 1173 1 1200 2 1201 1 1202 2 1203 2 1204 2 1205 2 1206 1 1207 1 1208 2 1209 2 1210 1 1211 2 1212 1 1214 2 1215 2 1216 2 1218 1 1219 2 1220 1 1221 2 1223 2 1225 2 1227 2 1228 2 1229 1 1230 2 1231 2 1232 2 1234 2 1235 2 1236 2 1237 1 1239 1 1240 2 1241 2 1242 1 1243 1 1244 1 1245 2 1246 2 1247 2 1248 2 1249 1 1250 2 1251 2 1252 1 1253 1 1254 2 1255 2 1257 1 1259 1 1261 2 1263 1 1264 2 1265 2 1266 2 1269 2 1270 2 1271 1 1272 2 1273 2 1274 2 1275 2 1276 2 1277 1 1278 2 1279 2 1280 1 1281 1 1282 2 1283 1 1284 2 1285 2 8043 2 9012 1 9019 1 9043 1 9134 1 9166 1 9210 1 9212 1 9216 1 9225 1 9240 1 9255 1 9265 1 9275 1 9280 1 9412 1 9518 1 9608 1 9616 1 9653 1 9667 1 9694 1 Respondent ID Respondent ID 1211 0 1 681 2 503 3 21 4 3 5 2 7 1 Day of interview Date of Interview. Day. 1211 0 1 31 15.837 8.718 1 22 2 36 3 38 4 46 5 46 6 43 7 46 8 32 9 45 10 47 11 31 12 34 13 45 14 51 15 39 16 48 17 32 18 32 19 51 20 43 21 39 22 53 23 21 24 23 25 26 26 47 27 40 28 51 29 40 30 48 31 16 Month of interview Date of Interview. Month. 1211 0 1 1 2 1 3 177 4 326 5 242 6 170 7 205 8 89 Year of interview Date of Interview. Year. 1211 0 2004 1211 Symptoms of malaria for children under 5 - A The household head and spouse What are the symptoms of malaria for children under 5? List up to 4 symptoms that are mentioned by respondent. 1211 0 1 Fever 713 2 Vomiting 154 3 Lack of appetite 76 4 Weakness 131 5 Diarrhea 10 6 Headache 90 7 Other (specify) 35 9 2 Symptoms of malaria for children under 5 - B The household head and spouse What are the symptoms of malaria for children under 5? List up to 4 symptoms that are mentioned by respondent. List up to 4 symptoms that are mentioned by respondent. 1178 33 1 Fever 172 2 Vomiting 320 3 Lack of appetite 236 4 Weakness 219 5 Diarrhea 48 6 Headache 127 7 Other (specify) 56 Sysmiss 33 Symptoms of malaria for children under 5 - C The household head and spouse What are the symptoms of malaria for children under 5? List up to 4 symptoms that are mentioned by respondent. List up to 4 symptoms that are mentioned by respondent. 803 408 1 Fever 58 2 Vomiting 119 3 Lack of appetite 215 4 Weakness 163 5 Diarrhea 62 6 Headache 132 7 Other (specify) 54 Sysmiss 408 Symptoms of malaria for children under 5 - D The household head and spouse What are the symptoms of malaria for children under 5? List up to 4 symptoms that are mentioned by respondent. List up to 4 symptoms that are mentioned by respondent. 334 877 1 Fever 15 2 Vomiting 58 3 Lack of appetite 67 4 Weakness 55 5 Diarrhea 36 6 Headache 76 7 Other (specify) 27 Sysmiss 877 Ways in which can prevent malaria for children under 5 - A The household head and spouse What are the ways in which you can prevent malaria for children under 5? List up to 4 ways that are mentioned by respondent. 1211 0 1 Use mosquito nets 623 2 Avoid having stagnant water near the household 113 3 Clear bushes near household 112 4 Use insecticides, coils, or repellants 60 5 Take prophylaxis or medicines 173 6 Other (specify) 94 8 3 9 33 Ways in which can prevent malaria for children under 5 - B The household head and spouse What are the ways in which you can prevent malaria for children under 5? List up to 4 ways that are mentioned by respondent. 955 256 1 Use mosquito nets 108 2 Avoid having stagnant water near the household 218 3 Clear bushes near household 316 4 Use insecticides, coils, or repellants 131 5 Take prophylaxis or medicines 113 6 Other (specify) 69 Sysmiss 256 Ways in which can prevent malaria for children under 5 - C The household head and spouse What are the ways in which you can prevent malaria for children under 5? List up to 4 ways that are mentioned by respondent. 479 732 1 Use mosquito nets 53 2 Avoid having stagnant water near the household 103 3 Clear bushes near household 140 4 Use insecticides, coils, or repellants 80 5 Take prophylaxis or medicines 79 6 Other (specify) 24 Sysmiss 732 Ways in which can prevent malaria for children under 5 - D The household head and spouse What are the ways in which you can prevent malaria for children under 5? List up to 4 ways that are mentioned by respondent. 173 1038 1 Use mosquito nets 11 2 Avoid having stagnant water near the household 28 3 Clear bushes near household 24 4 Use insecticides, coils, or repellants 41 5 Take prophylaxis or medicines 54 6 Other (specify) 15 Sysmiss 1038 When child has diarrhea should be given less to drink The household head and spouse When a child has diarrhea, should he/she be given less to drink than usual, about the same amount, or more than usual? 1211 0 1 Less 120 2 Same 88 3 More 1000 9 3 Can a person who looks health have HIV The household head and spouse Can a person who looks healthy have HIV, the virus that causes AIDS? 1211 0 1 Yes 869 2 No 164 8 7 9 171 99 Don’t Know 0 Some symptoms of HIV - A The household head and spouse What are some of the symptoms of AIDS? List the 2 main symptoms mentioned by respondent. 1211 0 1 Weight loss (major) 746 2 Fever 11 3 Skin rash 205 4 Weakness 87 5 Severe headache 10 6 Fainting 0 7 Chills (feeling hot and cold) 4 8 Vomiting 24 9 Cough 56 10 Other (specify) 47 98 2 99 19 Some symptoms of HIV - B The household head and spouse What are some of the symptoms of AIDS? List the 2 main symptoms mentioned by respondent. 1116 95 1 Weight loss (major) 145 2 Fever 11 3 Skin rash 320 4 Weakness 156 5 Severe headache 15 6 Fainting 2 7 Chills (feeling hot and cold) 5 8 Vomiting 82 9 Cough 161 10 Other (specify) 218 98 1 Sysmiss 95 Can AIDS be cured The household head and spouse Can HIV/AIDS be cured? 1211 0 1 Yes 151 2 No 932 8 1 9 127 99 Don’t Know 0 Can AIDS be treated The household head and spouse Can HIV/AIDS be treated? 1211 0 1 Yes 1030 2 No 124 8 1 9 56 99 Don’t Know 0 Can HIV be transmitted from a mother to a child The household head and spouse Can HIV/AIDS be transmitted from a mother to a child? 1211 0 1 Yes 1089 2 No 48 8 8 9 66 99 Don’t Know 0 Ways a person can protect themselves from HIV/AIDS - A The household head and spouse In what ways can a person protect themselves from getting HIV/AIDS? List up to 4 ways that are mentioned by respondent. 1211 0 1 Abstinence 657 2 Be faithful 274 3 Have fewer partners 39 4 Use condoms 194 5 Avoid injections with contaminated needles 16 6 Other (specify) 5 98 3 99 Don’t know 23 Ways a person can protect themselves from HIV/AIDS - B The household head and spouse In what ways can a person protect themselves from getting HIV/AIDS? List up to 4 ways that are mentioned by respondent. 1017 194 1 Abstinence 124 2 Be faithful 477 3 Have fewer partners 79 4 Use condoms 245 5 Avoid injections with contaminated needles 78 6 Other (specify) 12 99 Don’t know 2 Sysmiss 194 Ways a person can protect themselves from HIV/AIDS - C The household head and spouse In what ways can a person protect themselves from getting HIV/AIDS? List up to 4 ways that are mentioned by respondent. 426 785 1 Abstinence 31 2 Be faithful 56 3 Have fewer partners 33 4 Use condoms 216 5 Avoid injections with contaminated needles 84 6 Other (specify) 6 99 Don’t know 0 Sysmiss 785 Ways a person can protect themselves from HIV/AIDS - D The household head and spouse In what ways can a person protect themselves from getting HIV/AIDS? List up to 4 ways that are mentioned by respondent. 89 1122 1 Abstinence 6 2 Be faithful 6 3 Have fewer partners 3 4 Use condoms 12 5 Avoid injections with contaminated needles 55 6 Other (specify) 7 99 Don’t know 0 Sysmiss 1122 Personally know someone who has died from AIDS The household head and spouse Do you personally know someone who has died from AIDS? Go to 11 (kb11 - variable name in dataset).]]> 1211 0 1 Yes 972 2 No 238 8 1 What was relation to this person The household head and spouse What was your relation to this person? If there are multiple persons, ask about person who died most recently. 972 239 1 Household member 58 2 Relative in this Division 182 3 Relative elsewhere 80 4 Non-relative in this Division 567 5 Non-relative elsewhere 85 Sysmiss 239 Personally know anyone who received or currently receiving t The household head and spouse Go to 12 (kb12 - variable name in dataset).]]> 1211 0 1 Yes 624 2 No 584 8 3 What is relationship to this person The household head and spouse What was/is your relation to this person? If there are multiple persons, ask about closest relation. 624 587 1 Household member 73 2 Relative in this Division 91 3 Relative elsewhere 23 4 Non-relative in this Division 384 5 Non-relative elsewhere 49 8 4 Sysmiss 587 What happened to person's health since receiving treatment The household head and spouse What happened to this person’s health since receiving treatment? 624 587 1 99 2.12 8.716 Nearest place someone can be tested for AIDS The household head and spouse What is the nearest place where someone can be tested for HIV? 1211 0 1 Mosoriot Health Center 1030 2 Turbo Health Center 1 3 Burnt Forest Health Center 0 4 Eldoret 27 5 Kapsabet 76 6 Kisumu 5 7 Other (specify) 40 98 6 99 Don’t know 26 Treatment for HIV/AIDS is easily available The household head and spouse In Kosirai Division, do you know whether treatment for HIV/AIDS is easily available, available but not for everyone who needs it, or not available at all? 1211 0 1 Easily available 623 2 Available, but not for everyone who needs it 257 3 Not available at all 98 98 2 99 Don’t know 231 Do any member regularly use mosquito nets The household head and spouse Do any of your household members regularly use mosquito nets when sleeping? If answer is 2 > Go to 3 (kbb03 - variable name in dataset). 1211 0 1 Yes 252 2 No 958 8 1 ID numbers for members that use mosquito nets - A The household head and spouse Please list the ID numbers of all household members that use mosquito nets. ID numbers from household roster (list up to 5). 253 958 1 98 2.565 8.676 ID numbers for members that use mosquito nets - B The household head and spouse Please list the ID numbers of all household members that use mosquito nets. ID numbers from household roster (list up to 5). 223 988 1 2 2 129 3 16 4 31 5 13 6 7 7 7 8 6 9 5 10 2 11 3 13 1 15 1 Sysmiss 988 ID numbers for members that use mosquito nets - C The household head and spouse Please list the ID numbers of all household members that use mosquito nets. ID numbers from household roster (list up to 5). 128 1083 2 1 3 71 4 16 5 17 6 7 7 2 8 5 9 3 10 1 11 1 12 2 14 1 16 1 Sysmiss 1083 ID numbers for members that use mosquito nets - D The household head and spouse Please list the ID numbers of all household members that use mosquito nets. ID numbers from household roster (list up to 5). 74 1137 1 1 4 50 5 9 6 4 7 3 8 1 9 2 11 1 12 1 13 1 15 1 Sysmiss 1137 ID numbers for members that use mosquito nets - E The household head and spouse Please list the ID numbers of all household members that use mosquito nets. ID numbers from household roster (list up to 5). 38 1173 1 1 4 1 5 25 6 5 7 1 8 3 10 1 12 1 Sysmiss 1173 Where store drinking water The household head and spouse Where do you store your drinking water? 1211 0 1 Closed container inside the house 1154 2 Open container inside the house 50 3 Closed container outside the house 5 4 Open container outside the house 0 5 Don’t store water 0 6 Other (specify) 1 8 1 Boil or treat drinking water The household head and spouse Do you boil or treat your drinking water? 1211 0 1 Yes 1001 2 No 209 8 1 How often wash hands with soap before earting The household head and spouse How often do you wash your hands with soap before you eat? * READ THE CHOICES. 1211 0 1 Always 669 2 Most of the time 161 3 Some of the time 236 4 Rarely 139 8 6 Where store fresh milk that use for drinking The household head and spouse Where do you store fresh milk that you use for drinking? 1211 0 1 Closed container inside the house 660 2 Open container inside the house 470 3 Closed container outside the house 1 4 Open container outside the hosue 1 5 Don't store milk 78 6 Other (specify) 0 8 1 Do you boil fresh milk first before drinking The household head and spouse If you drink fresh milk, do you boil it first? 1211 0 1 Yes 1204 2 No 5 8 2 98 N/A 0 How often wear something on your feet when outside The household head and spouse When you are outside, how often do you wear something on your feet, e.g. shoes, boots, or sandals? 1211 0 1 Always 474 2 Most of the time 244 3 Some of the time 236 4 Rarely 256 8 1 How often children wear something on their feet when outside The household head and spouse When your children are outside, how often do they wear something on their feet, e.g. shoes, boots, or sandals? 1211 0 1 Always 222 2 Most of the time 180 3 Some of the time 406 4 Rarely 341 5 No children 52 98 2 99 Don’t know 8 Ever been tested for HIV The household head and spouse Have you ever been tested for HIV? If answer is 2 > Go to 14 (kbb14 - variable name in dataset). 1211 0 1 Yes 416 2 No 794 8 1 Month when tested The household head and spouse When did you get tested for HIV? Month. If respondent has been tested multiple times, record most recent date. 416 795 1 99 8.382 15.868 1 32 2 34 3 42 4 44 5 51 6 61 7 34 8 34 9 16 10 14 11 18 12 24 98 4 99 8 Sysmiss 795 Year when tested The household head and spouse When did you get tested for HIV? Year. If respondent has been tested multiple times, record most recent date. 416 795 98 2004 1989.267 161.334 98 1 99 2 1989 1 1990 1 1995 1 1998 4 1999 2 2000 10 2001 17 2002 41 2003 168 2004 168 Sysmiss 795 Where tested for HIV The household head and spouse Where did you get tested for HIV? 416 795 1 Mosoriot Health Center 338 2 Turbo Health Center 2 3 Burnt Forest Health Center 1 4 Eldoret 28 5 Kapsabet 18 6 Kisumu 0 7 Other (specify) 29 99 Don’t know 0 Sysmiss 795 What was the result of HIV test The household head and spouse What was the result of your HIV test? Emphasize confidentiality when asking this question. 415 796 1 HIV-Positive 220 2 HIV-Negative 186 3 Won’t say 3 8 3 9 3 Sysmiss 796 Have informed spouse about HIV status The household head and spouse Have you informed your spouse (or main partner) about your HIV status? 392 819 1 Yes 267 2 No 104 8 21 Sysmiss 819 Who else informed - A The household head and spouse Who else have you informed about your status? IRID or HHID. List the 3 people that were informed first. 153 0 0 1 01 12 02 9 03 6 04 4 06 2 07 2 08 4 98 1 R01 51 R02 21 R03 13 R04 17 R05 6 R06 3 R09 1 Who else informed - B The household head and spouse Who else have you informed about your status? IRID or HHID. List the 3 people that were informed first. 88 0 0 1 01 1 02 8 03 4 04 3 05 2 06 1 07 3 08 1 09 4 10 1 11 1 12 1 R01 7 R02 22 R03 10 R04 8 R05 7 R06 1 R07 1 R08 1 Who else informed - C The household head and spouse Who else have you informed about your status? IRID or HHID. List the 3 people that were informed first. 43 0 0 1 03 1 04 8 05 2 06 3 08 1 10 2 11 2 R01 1 R02 2 R03 11 R04 3 R05 3 R06 2 R07 1 Chances of having HIV/AIDS The household head and spouse Do you think your chances of having HIV/AIDS are high, moderate, low, or do you think you are at no risk at all? 1211 0 1 High 226 2 Moderate 65 3 Low 403 4 No risk at all 480 8 10 9 27 Percent chance of having HIV/AIDS The household head and spouse 1211 0 0 100 30.864 38.983 Age at first sex The household head and spouse Now I would like to ask you some questions about sexual activity in order to gain a better understanding of how behavior afftects health. Please answer these questions to the best of your knowledge. This information will be completely private; under no circumstances will it be revealed to your partner or anyone else. How old were you when you first had sexual intercourse? Age in years. If answer is 99 (never) > End of section. 1211 0 99 Never 1 Number of sexual partners The household head and spouse What is the total number of sexual partners that you have had? [Number of partners in lifetime] 1210 1 1 99 12.628 26.896 Sexually active in the past 6 months The household head and spouse Have you been sexually active in the past 6 months? 1210 1 1 Yes 730 2 No 479 8 1 Sysmiss 1 Have had any sexual partner other than spouse The household head and spouse In the past 6 months, have you had any sexual partners other that your spouse(s)? If answer is 2 > Go to 5 (kbc05a - variable name in dataset). 1210 1 1 Yes 40 2 No 1073 8 97 Sysmiss 1 Partners including husband in past 6 months The household head and spouse 89 1122 1 98 58.034 47.652 Count of partners/spouse The household head and spouse 1210 1 Infected with HIV virus is a sign of weak character The household head and spouse I would like to ask you for your opinion regarding several statements about HIV/AIDS. Please tell me if you: (1) strongly agree (2) agree somewhat (3) feel neutral (4) disagree (5) strongly disagree. In this section, you have to ask some questions according to the HIV status of the respondent. Check the answer to Section B – Question 11c (about the result of the respondent’s HIV test). Write 99 if the answer is Don’t Know. 1211 0 1 strongly agree 644 2 agree somewhat 209 3 feel neutral 26 4 disagree 210 5 strongly disagree 106 8 4 9 12 Feel ashamed of having HIV The household head and spouse In this section, you have to ask some questions according to the HIV status of the respondent. Check the answer to Section B – Question 11c (about the result of the respondent’s HIV test). Write 99 if the answer is Don’t Know. 1211 0 1 strongly agree 382 2 agree somewhat 274 3 feel neutral 88 4 disagree 328 5 strongly disagree 134 8 4 9 1 People feel angry with people with HIV/AIDS The household head and spouse In this section, you have to ask some questions according to the HIV status of the respondent. Check the answer to Section B – Question 11c (about the result of the respondent’s HIV test). Write 99 if the answer is Don’t Know. 1211 0 1 strongly agree 344 2 agree somewhat 359 3 feel neutral 173 4 disagree 258 5 strongly disagree 63 8 6 9 8 Feel angry with self for having inflicted The household head and spouse In this section, you have to ask some questions according to the HIV status of the respondent. Check the answer to Section B – Question 11c (about the result of the respondent’s HIV test). Write 99 if the answer is Don’t Know. 1211 0 1 strongly agree 266 2 agree somewhat 291 3 feel neutral 121 4 disagree 410 5 strongly disagree 120 8 2 9 1 People avoid contact with people living with HIV/AIDS The household head and spouse In this section, you have to ask some questions according to the HIV status of the respondent. Check the answer to Section B – Question 11c (about the result of the respondent’s HIV test). Write 99 if the answer is Don’t Know. 1211 0 1 strongly agree 450 2 agree somewhat 186 3 feel neutral 87 4 disagree 247 5 strongly disagree 229 8 6 9 6 Feel should stay away from children and friends The household head and spouse In this section, you have to ask some questions according to the HIV status of the respondent. Check the answer to Section B – Question 11c (about the result of the respondent’s HIV test). Write 99 if the answer is Don’t Know. 1211 0 1 strongly agree 99 2 agree somewhat 35 3 feel neutral 26 4 disagree 429 5 strongly disagree 619 8 2 9 1 People feel disgust with people living with HIV/AIDS The household head and spouse Most people I know feel disgust with people living with HIV/AIDS. In this section, you have to ask some questions according to the HIV status of the respondent. Check the answer to Section B – Question 11c (about the result of the respondent’s HIV test). Write 99 if the answer is Don’t Know. 1211 0 1 strongly agree 373 2 agree somewhat 374 3 feel neutral 161 4 disagree 240 5 strongly disagree 49 8 8 9 6 Feel disgusted with body The household head and spouse In this section, you have to ask some questions according to the HIV status of the respondent. Check the answer to Section B – Question 11c (about the result of the respondent’s HIV test). Write 99 if the answer is Don’t Know. 1211 0 1 strongly agree 217 2 agree somewhat 296 3 feel neutral 164 4 disagree 407 5 strongly disagree 123 8 4 Female teacher with HIV should continue teaching The household head and spouse In this section, you have to ask some questions according to the HIV status of the respondent. Check the answer to Section B – Question 11c (about the result of the respondent’s HIV test). Write 99 if the answer is Don’t Know. 1211 0 1 strongly agree 801 2 agree somewhat 189 3 feel neutral 31 4 disagree 111 5 strongly disagree 72 8 4 9 3 I should be aloowed to continue teaching in the school The household head and spouse In this section, you have to ask some questions according to the HIV status of the respondent. Check the answer to Section B – Question 11c (about the result of the respondent’s HIV test). Write 99 if the answer is Don’t Know. 1211 0 1 strongly agree 858 2 agree somewhat 133 3 feel neutral 33 4 disagree 97 5 strongly disagree 85 8 2 9 3 Knowledge & behavior module 1047 0 1 Yes 1047 2 No 0 Household ID Household ID 1047 0 1 9694 763.802 1169.555 1 1 3 2 4 2 5 2 6 2 7 2 8 1 9 2 10 2 11 2 12 1 13 2 14 2 15 1 16 2 17 2 18 2 19 2 20 2 21 2 22 3 23 1 24 1 25 2 26 2 27 1 28 2 29 1 32 2 34 2 35 1 38 1 41 1 43 1 44 1 48 2 49 1 50 1 53 1 56 1 60 2 61 2 62 2 64 2 65 2 66 1 67 2 69 2 70 2 75 4 76 2 77 1 78 1 79 1 80 2 82 2 84 1 89 1 93 2 94 2 95 2 97 1 98 2 99 1 102 1 103 2 104 2 106 2 108 2 109 2 110 1 111 1 112 2 113 1 114 1 115 2 117 3 120 1 121 1 124 1 125 2 150 2 151 2 152 3 154 2 156 2 158 2 161 2 162 2 163 1 164 1 166 3 168 1 170 2 173 3 174 2 201 2 202 1 203 2 204 2 205 1 206 2 207 2 208 2 209 2 210 2 211 2 212 2 213 2 217 2 218 1 219 1 221 1 222 2 223 2 250 1 251 1 252 2 253 2 254 2 255 1 256 2 257 2 258 2 259 2 260 2 261 2 262 3 263 2 264 2 265 2 266 2 267 2 268 2 269 2 274 1 275 2 276 3 277 2 278 1 279 2 280 3 281 2 282 1 300 2 301 2 302 2 303 1 304 3 305 1 306 2 309 2 310 1 313 2 314 2 315 1 317 1 318 2 351 1 352 2 353 2 354 2 355 2 356 1 357 2 358 1 359 2 360 2 361 2 362 2 365 2 366 2 368 1 400 2 402 2 404 2 405 1 406 2 407 2 410 3 412 3 415 1 416 1 417 2 419 2 421 2 423 3 426 1 427 2 428 2 429 2 430 2 431 2 434 1 436 2 438 2 450 1 451 1 452 1 453 3 454 2 455 2 456 4 457 2 459 2 460 2 462 2 465 2 466 2 467 2 468 2 469 2 470 2 473 1 475 2 476 2 477 1 479 2 480 2 481 2 482 2 483 2 484 1 485 2 486 3 490 2 500 2 501 1 504 2 505 1 506 2 507 1 508 2 509 2 510 2 511 2 512 2 513 1 514 2 516 1 518 2 519 2 520 2 521 2 522 2 524 4 525 2 526 4 527 4 528 2 529 2 531 1 532 3 533 2 534 2 535 2 537 2 540 2 542 2 544 2 545 2 546 3 548 1 549 1 550 2 551 2 552 1 554 2 556 1 557 2 559 1 560 2 564 2 565 1 566 2 582 1 588 2 589 1 590 1 591 2 593 1 594 2 595 2 597 2 599 1 600 2 602 1 603 2 604 2 605 2 607 2 608 3 609 2 610 2 611 1 614 1 615 2 616 3 617 3 618 2 620 2 621 3 622 2 623 2 624 2 625 4 626 2 627 1 628 1 630 2 631 2 632 2 633 1 634 2 635 2 637 2 652 2 653 1 656 1 658 2 660 2 663 1 666 1 667 3 670 1 671 2 673 2 674 2 675 2 676 2 677 2 678 1 679 2 680 4 682 2 687 2 688 2 689 2 691 2 692 2 693 1 694 1 696 1 697 2 698 2 699 2 700 2 702 2 703 1 706 2 707 2 708 2 709 2 710 2 711 2 712 2 715 2 716 2 717 2 720 2 721 2 723 2 724 2 725 1 727 2 728 1 731 2 732 1 733 2 735 1 736 1 737 1 738 1 739 2 740 2 741 1 742 2 746 2 747 2 748 2 751 1 752 1 755 2 757 2 758 2 766 2 776 2 779 2 780 2 781 2 783 2 786 1 787 1 790 2 791 1 793 2 794 1 800 1 801 1 802 1 803 1 806 1 807 1 811 2 813 2 814 1 817 1 820 1 823 1 826 2 828 1 829 2 835 1 842 1 843 1 844 2 846 2 847 2 848 1 850 2 851 1 901 1 902 2 903 1 905 1 906 1 908 1 912 1 913 2 914 1 915 1 916 1 918 2 919 1 920 1 922 1 928 1 931 1 932 1 934 1 936 1 940 1 941 2 942 1 943 2 944 1 946 1 947 1 950 1 952 1 953 1 957 1 958 1 959 1 961 1 962 1 963 1 964 2 966 1 967 1 969 1 971 1 972 1 973 1 974 1 975 1 978 1 979 2 980 2 982 1 983 1 984 1 985 1 986 1 987 1 989 1 992 1 993 1 994 1 996 1 997 1 998 1 999 1 1000 2 1002 2 1007 1 1010 1 1013 1 1015 1 1018 1 1023 1 1024 1 1026 2 1027 1 1100 2 1102 2 1104 2 1106 2 1107 1 1108 2 1109 1 1110 2 1115 2 1116 2 1117 1 1118 3 1119 2 1120 2 1121 1 1122 1 1123 1 1124 2 1125 2 1126 2 1127 1 1129 2 1130 2 1131 1 1136 2 1138 2 1139 2 1141 2 1142 2 1143 1 1144 1 1146 1 1150 2 1151 2 1152 2 1153 1 1154 2 1155 2 1156 1 1157 2 1158 2 1159 1 1160 2 1161 2 1167 2 1170 1 1171 3 1173 1 1200 1 1201 1 1202 2 1203 2 1204 2 1205 2 1208 2 1209 2 1211 2 1212 1 1214 2 1215 2 1216 4 1219 2 1220 1 1221 2 1223 2 1225 3 1227 2 1228 2 1229 1 1230 2 1231 2 1232 2 1234 2 1235 2 1236 2 1239 1 1240 3 1241 2 1243 1 1245 2 1246 2 1247 2 1248 2 1249 1 1250 2 1251 2 1252 1 1254 2 1255 2 1259 1 1261 2 1263 1 1264 2 1265 3 1266 2 1269 2 1270 2 1272 2 1273 2 1274 2 1275 3 1276 3 1277 1 1278 2 1279 2 1281 1 1282 2 1283 1 1284 2 1285 2 9043 1 9166 1 9212 1 9216 1 9225 1 9240 1 9255 1 9265 1 9275 1 9280 1 9412 1 9518 1 9608 1 9616 1 9653 1 9667 1 9694 1 Respondent ID Respondent ID 1047 0 1 549 2 484 3 11 4 1 5 1 7 1 Day of interview Date of Interview. Day. 1047 0 1 31 15.971 8.839 1 23 2 29 3 32 4 41 5 44 6 41 7 35 8 30 9 35 10 36 11 21 12 30 13 36 14 43 15 26 16 44 17 32 18 28 19 42 20 37 21 34 22 46 23 21 24 21 25 19 26 49 27 32 28 45 29 36 30 45 31 14 Month of interview Date of Interview. Month. 1047 0 1 1 3 155 4 312 5 215 6 113 7 174 8 77 Year of interview Date of Interview. Year. 1047 0 2004 1047 Partner # The household head and spouse Now I would like to ask you several questions regarding you and your spouse/partner, and [if answer to question 3 is YES] for each of your other sexual partners in the past 6 months. Partner Number HHID or IRID If the partner is a member of the household, write the HHID Code of the partner in the first row, otherwise add each partner to the IRoster form - if the respondent will not reveal the name, use "Partner #1", "Partner #2", etc. on the form - and then write the IRID Code in the first row. Make sure all wives are discussed. 1047 0 1 994 2 41 3 12 Number The household head and spouse 1047 0 Relationship to partner (HHID/IRID) The household head and spouse What is your relationship to this sexual partner? 1043 0 #1 1 #2 1 001 2 01 480 02 417 02A 2 02B 1 03 1 05 1 1 3 2 2 9 1 902 3 98 5 R01 36 R02 29 R03 26 R04 12 R05 10 R06 7 R08 1 R09 2 Relationship to partner The household head and spouse What is your relationship to this sexual partner? 1047 0 1 Spouse 913 2 Live-in partner 12 3 Partner not living with you 93 4 Casual acquaintance 24 5 Other (specify) 3 8 2 Month when first had sex with partner The household head and spouse When did you first have sex with this partner? Month. Year is okay if more than 2 years ago or if month cannot be recalled. 1047 0 1 99 59.078 45.523 1 53 2 35 3 27 4 62 5 19 6 31 7 27 8 41 9 16 10 21 11 21 12 96 98 334 99 264 Year when first had sex with partner The household head and spouse When did you first have sex with this partner? Year. Year is okay if more than 2 years ago or if month cannot be recalled. 1047 0 98 2004 1976.926 117.296 98 3 99 1 1938 1 1940 1 1941 1 1943 2 1944 2 1946 3 1947 3 1948 4 1949 2 1950 2 1951 3 1952 2 1953 5 1954 1 1955 7 1956 7 1957 6 1958 6 1959 11 1960 19 1961 4 1962 16 1963 6 1964 16 1965 5 1966 16 1967 13 1968 13 1969 14 1970 19 1971 14 1972 11 1973 14 1974 17 1975 27 1976 18 1977 20 1978 16 1979 13 1980 24 1981 9 1982 12 1983 23 1984 23 1985 23 1986 30 1987 27 1988 24 1989 22 1990 30 1991 23 1992 35 1993 27 1994 30 1995 28 1996 31 1997 29 1998 41 1999 44 2000 52 2001 31 2002 26 2003 24 2004 15 Used condom when first had sex with partner The household head and spouse When you first had sex with this partner, did you use condoms? 1047 0 1 Yes 95 2 No 950 8 2 Last time had sex with the partner The household head and spouse When did you last have sex with this partner? 1047 0 1 Within the past week 458 2 One to four weeks ago 217 3 More than a month ago 370 8 2 Used condom when last had sex with partner The household head and spouse When you last had sex with this partner, did you use condoms? 1047 0 1 Yes 131 2 No 914 8 2 Think partner has other partners in past 6 months The household head and spouse Do you think your partner has had other partners in the past 6 months? 1047 0 1 Yes 145 2 No 600 3 Don’t Know 298 8 4 Partner been tested for HIV The household head and spouse Has your partner ever been tested for HIV? If answer is 2 or 3 > Go to 15 (kbc15 - variable name in dataset). 1047 0 1 Yes 208 2 No 697 3 Don't know 140 8 2 Month when partner was tested The household head and spouse When was your partner tested for HIV? Month. 208 839 1 99 17.601 31.438 1 24 2 12 3 21 4 23 5 15 6 25 7 10 8 15 9 9 10 8 11 3 12 16 98 16 99 11 Sysmiss 839 Year when partner was tested The household head and spouse When was your partner tested for HIV? Year. 208 839 98 2004 1984.827 186.316 98 1 99 1 1998 1 1999 2 2000 5 2001 4 2002 14 2003 101 2004 79 Sysmiss 839 Know partner's HIV status The household head and spouse Do you know your partner’s HIV status? 208 839 1 Yes 206 2 No 2 Sysmiss 839 Partner's HIV status The household head and spouse What is your partner’s HIV status? End section (go to kbd01 - variable name in dataset). 208 839 1 HIV-Positive 55 2 HIV-Negative 150 3 Won’t say 2 8 1 Sysmiss 839 Partner's chances of HIV/AIDS The household head and spouse Do you think your partner’s chances of having HIV/AIDS are high, moderate, low, or do you think he/she is at no risk at all? 980 67 1 High 126 2 Moderate 73 3 Low 368 4 No risk at all 340 8 3 9 70 Sysmiss 67 Anthropometric Module done 657 0 1 Yes 657 2 No 0 Household ID Household ID 657 0 1 9667 723.843 928.643 Respondent ID Respondent ID 657 0 1 142 2 490 3 19 4 2 5 2 7 2 Day of interview Date of Interview. Day. 657 0 1 31 16.03 8.71 1 14 2 12 3 30 4 25 5 24 6 20 7 23 8 22 9 19 10 17 11 14 12 21 13 20 14 30 15 27 16 18 17 11 18 29 19 27 20 31 21 30 22 26 23 17 24 5 25 14 26 25 27 24 28 22 29 22 30 28 31 10 Month of interview Date of Interview. Month. 657 0 3 107 4 184 5 104 6 94 7 120 8 48 Year of interview Date of Interview. Year. 657 0 2004 657 Number of children 5 yrs 657 0 Code of child The primary female respondent 657 0 1 415 2 195 3 41 4 6 Code of child - Anthropomentric The primary female respondent ID CODE of child First, refer to the household copy the ID codes of all children that are household members and are 5 years or younger. Weigh children with as little clothing as possible. Record the amount of clothing the child was wearing when you made the measurement. All children that are household members and are 5 years or younger. 657 0 1 1 2 6 3 84 4 104 5 93 6 95 7 86 8 71 9 50 10 28 11 18 12 5 13 9 14 4 15 2 17 1 Name of child - Anthropometrics The primary female respondent Copy the NAME of the household member from the Household Roster, matching the name to ID code. All children that are household members and are 5 years or younger. 657 0 ABEDNEGO KIPLIMO 1 ABEDNEGO KIPROTICH 1 ABEL KIPCHIRCHIR 1 ABIGAEL CHEPLETING 1 ABIGAEL CHEPTUM 1 ABIUT KIPRUTO 1 ABRAHAM KIPKOECH 1 ABRAHAM KIPKORIR 1 ABRAHAM KIPKOSGEI 1 ADAM KIPROTICH 1 ADELIN CHERUTO 1 AGNES CHEPKIRUI 1 ALBERT KIPTANUI 1 ALEX KIPLAGAT 1 ALEX KIPTOO 1 ALLAN KIBET 1 ALLAN KIBETT TALAM 1 AMFREY MBOYA 1 AMON KIPKIRUI 1 AMON KIPTANUI 1 AMOS KIBET 1 AMOS KIBIEGO 1 AMOS KIPLAGAT 1 ANALINE CHEPCHIRCHIR 1 ANNAH LODIO 1 ANTONETTE CHEROBON 1 ASCAR CHEMTAI 1 ASENATH JERUTO 1 ATHANASIUS KIPKOSGEI 1 AUDIA JEPTOO 1 BEATRICE CHEMUTAI 1 BEATRICE CHEPNGETICH 1 BEATRICE CHERUBET 1 BEFREY JERUTO 1 BERNADINE KIPRUTO 1 BETHSHEBA CHEMURGOR 1 BETHWEL KIBICHI 1 BETHWEL KIPROTICH 1 BETTY CHELAGAT 1 BETTY CHEPTOO 1 BETTY JEBET 1 BETTY JELAGAT 1 BETTY JEPCHUMBA 1 BEULA CHEPLETING 1 BILHA JEPNGETICH 1 BILL KIPKEMBOI 1 BIVIAN JEPCHIRCHIR 1 BONFACE KIMUTAI 1 BONFACE KIPKOSGEI 1 BONFACE KIPROP 1 BRANTON KIPSANG 1 BRENDA CHEPCHIRCHIR 1 BRENDA CHEPCHUMBA 1 BRENDA CHEPKEMBOI 1 BRENDA CHEPKOSGEI 1 BRENDA JEPNGETICH 1 BRIAN 1 BRIAN KIBET 1 BRIAN KIBIWOT 1 BRIAN KIPCHIRCHIR 1 BRIAN KIPCHUMBA 2 BRIAN KIPKOECH 1 BRIAN KIPKORIR 1 BRIAN KIPKOSGEI 1 BRIAN KIPNGETICH 1 BRIAN KIPROTICH 1 BRIAN KIPRUTO 2 BRIAN KIPTANUI 1 BRIAN KIPYEGO 2 BRIAN KOSGEI 1 BRIGIT CHEPCHUMBA 1 BRIGIT CHEPKOGEI 1 BRYAN KIPLETING 1 BRYSON LUVANDARE 1 CALVIN CHEPTANUI 1 CAREN CHEBET 1 CAREN CHEPCHIRICHIRI 1 CAREN CHEPTOO 2 CAREN JELAGAT 1 CAREN JEPLETING 1 CAREN JEROP 1 CAROLINE CHEPCHIRCHI 1 CAROLINE JEBET 1 CAROLINE JEBITOK 1 CAROLINE JELAGAT 1 CAROLINE JESANG 1 CAROLYN JEMUTAI 1 CAROLYNE CHEPLETING 1 CATHERINE JERUTO 1 CELESTINE CHEPTOO 1 CETRINE CHEPTOO 1 CHANISE ALE 1 CHARITY CHEBICHY 1 CHARITY CHEPCHIRICHI 1 CHARITY CHEPTEKWENY 1 CHARITY JEPTOO 1 CHARLOTTE CHEPKOECH 1 CHELAGAT 1 CHELSEA CHEPKOECH 1 CHEMAIYO CATRINE 1 CHEPCHIRCHIR RUTH 1 CHEPCHUMBA BOR 1 CHEPCHUMBA MAHODIA 1 CHEPKOGEI 1 CHEROTICH BETTY 1 CHESLEY JEBET 1 CHRISTABEL CHEPCHIRC 1 CLAWWY KIPRUTO 1 CLEOPHAS KIPROP 1 CLINTON KIPCHIRCHIR 1 CLISTINE CHEROTICH 1 COLLETA JEROP 1 COLLETE JEMELI 1 COLLINS 1 COLLINS KIBICHII 1 COLLINS KIMELI 1 COLLINS KIPCHUMBA 1 COLLINS KIPKEMBOI 1 COLLINS KIPKEMEI 1 COLLINS KIPKURUI 1 COLLINS KIPLAGAT 1 COLLINS KIRWA 1 COLLINS ODONGO 1 CONSOLATA CHEMUTAI 1 CONSOLATA JEBICHII 1 CORNELIUS KIBET 1 CORNELIUS KIMUTAI 1 CORNELIUS KIPKOSGEI 1 CORNELIUS KIPLETING 1 CORNELIUS KIPTUM 1 COSMAS KIMUTAI 1 CRISPINUS KIPROP 1 CYNTHIA ACHIENG 1 CYNTHIA CHELAGAT 1 CYNTHIA CHEPCHIRCHIR 1 CYNTHIA CHEPCHUMBA 1 DAISY CHELIMO 1 DAIZY CHERUTO 1 DAMARIS CHEPTOO 1 DAMARIS CHERONO 1 DANCAN KIPTOO 1 DANIEL KIPKEMBOI 1 DANIEL KIPKURUI 1 DANIEL KIPROTICH 1 DAPHINE CHEPKORIR 1 DAPHNE JEPKOECH 1 DAVIS KIPKOGEI 1 DAYSY JEBUNGE 1 DELFINE KIBET 1 DELPHIN JEPKIRUI 1 DELPHINE CHEPNGETICH 1 DENIS KIBICHI 1 DENIS KIMARU 1 DENIS KIMELI 1 DENIS KIPKEMBOI 2 DENIS KIPNGETICH 2 DENIS KIPRUTO 1 DENIS KIPYEGO 1 DENISS KIMUTAI 1 DENNIS KIBETT 1 DENNIS KIMURGOR 1 DENNIS KIPCHUMBA 1 DENNIS KIPKEMBOI 1 DENNIS KIPLAGAT 1 DENNIS KIPNGETICH 1 DENNIS KIPRUTO 1 DERRIC LIMO 1 DIANA CHEPKEMEI 1 DIANA JEPCHIRICHIRI 1 DIANA JERUBET 1 DIANAH CHEPNGETICH 1 DIPPORAH CHEPCHUMBA 1 DISMA KIPLETING 1 DOLOPHINE CHEROP 1 DOMINIC KIPKEMEI 1 DOMINIC KIPKIRUI 1 DOMNIC KIPTANUI 1 DORCAS WANGECHI 1 DORCAS YVONNE 1 DORRIS CHEPTOO 1 DUNCAN KIMURGOR 1 DUNCAN KIPROTICH 1 DUNCUN KIPTOO 1 EDDAH CHEMUTAI 1 EDITH JEPKEMEI 1 EDWIN KIPCHIRCHIR 1 EILYNE JELAGAT 1 ELI KIBICHI 1 ELIAP KIPCHUMBA 1 ELIAS KIMUTAI 1 ELIAS KIPCHIRCHIR 1 ELISHA KIPKETER 1 ELISHA KIPROP 1 ELISHA KOGEI 1 ELIUD KIPRUTO 1 ELIZABETH CHERUTO 1 ELLY KIPCHIRCHIR 1 ELLY KIPKEMBOI 1 ELMELKA KIPROTICH 1 ELPHY JERONO 1 ELVIS KIMELI 1 ELVIS KIMUTAI 1 ELVIS KIPKURUI 1 ELVIS KIPNGETICH 1 ELZZY JEROP 1 EMANUEL CHERUIYOT 1 EMISTON KIPRUGUT 1 EMMANUEL KIMURGOR 1 EMMANUEL KIMUTAI 1 EMMANUEL KIPCHIRCHIR 1 EMMANUEL KIPKORIR 1 EMMANUEL KIPROTICH 1 EMMANUEL KIPRUTO 1 EMMANUEL KIPTOO 1 EMMIE JERONO 1 ENOCK KIPLIMO 1 ERICK KIPKOSGEI 1 ESTHER AKINYI 1 ESTHER GUSA 1 EUNICE ANYANGO 1 EUNICE CHEPTOO 1 EUNICE CHEROTICH 1 EVANS CHERUIYOT 1 EVANS KIPKOECH 1 EVANS KIPTUM 1 EZEKIEL KIPKIRUI 1 EZEKIEL KIPROP 1 FAITH CHEMELI 1 FAITH CHEPCHUMBA 1 FAITH CHEPKOGEI 1 FAITH CHEPKOSGEI 1 FAITH CHEPKURGAT 1 FAITH CHEPTENGWENY 1 FAITH JEBET 1 FAITH JELIMO 1 FAITH JEMUTAI 1 FAITH JEPKIRUI 1 FAITH JEPKOGEI 1 FAITH JEPKORIR 1 FAITH JEPKOSGEI 1 FAITH JEPKURGAT 1 FAITH JEPLETING 1 FAITH JEPNGETICH 1 FAITH JEPTANUI 1 FAITH WAIRIMU 1 FAIZA KETER 1 FATUMA JEPKOSGEI 1 FAVOURED KIBIWOT 1 FELEX KIPCHIRCHIR 1 FELEX KIPNGETICH 1 FELICITY CHEPCHIRCHI 1 FELIX KIPCHIRCHIR 1 FENY CHEPKURUI 1 FESTUS KIPNGETICH 1 FESTUS KIRWA 1 FLAVIAN JERUTO 1 FRED KIPCHUMBA 1 GEOFFREY KIPROP 1 GEOFREY KIPLETING 1 GEOFREY KIPTOO 1 GEOFREY OMWEGA 1 GEORGIAN JEPTOO 1 GERALD KIRWA 1 GETRUDE JEPKOECH 1 GIDEON KIPROP 1 GILBERT KIPKOECH 1 GILBERT KIPKURUI 1 GILLIET KIPKOSGEI 1 GLADYS CHEBICHI 1 GLADYS CHEPKORIR 1 GLADYS JEPKOECH 1 GLORIA CHEMUTAI 1 GLORINE OTIENO 1 GLORY JELIMO 1 GODWILL KIPCHUMBA 1 GODWIN KIPKOGEI 1 GODWIN KIPLETING 1 GODWIN KIPTOO 1 GRACE CHEPKIRUI 1 GRIFFIN KIPLIMO 1 HALINGTON KIPNGETICH 1 HARON KIPKIRUI 1 HARRIET JEPKEMBOI 1 HELLEN JEPCHIRICHIRI 1 HILARY KAMARU 1 HILDAH JEPKOSGEI 1 HILDER CHEPCHIRCHIR 1 HILLARY KIPKOECH 1 HILLARY KIPKORIR 1 HILLARY KOSGEI 1 HOSEA KIPLETING 1 IAN KIPCHUMBA 1 IAN KIPKEMBOI 1 IAN KIPKOECH 1 IAN KIPLAGAT 1 IAN KIPNGETICH 1 IAN KIPRONO 2 IAN KIPROP 3 IKE KIPTOO 1 ILLYN JERONO 1 IMELDA JEPKOECH 1 IMELDA JERUTO 1 IMMACULATE JEPKEMBOI 1 IRENE CHEPKOSGEI 1 IRENE JELIMO 1 IRENE JEPTANUI 1 ISAAC KIMELI 1 ISMAEL KIPKOECH 1 ISMAEL KIPLETING 1 ISMAIL KIPRONO 1 IVAN KEMBOI 1 IVOYN CHERUTO 1 IVY CHEPCHUMBA 1 IVY CHEPNGETICH 1 IVY JEPNGETICH 1 IVYNE JEMELI 1 JACKIM KIPKIRUI 1 JACKLINE CHEPKOSGEI 1 JACKLYNE CHEPCHIRCHI 2 JACKLYNE CHEPCHUMBA 1 JACKLYNE JELIMO 1 JACOB LOWOTO 1 JAEL CHEPLETING 1 JAEL JEPKURUI 1 JAEL JEPNGETICH 1 JAMES KIPROTICH 1 JANET CHERUTO 1 JANET JELIMO 1 JAPHETH KIPKOSGEI 1 JARED KIPCHIRCHIR 1 JARION KIPKOECH 1 JEPKOECH TERER 1 JERALD KIPROP 1 JEREMIAH KINYANJUI 1 JEREMIAH KIPNGETICH 1 JOAKIM KIMUTAI 1 JOAN CHEBET 1 JOAN CHEPCHIRCHIR 1 JOAN CHEROTICH 1 JOAN JEBET 1 JOAN JEMUTAI 1 JOAN JEPCHUMBA 1 JOAN JEPKIRUI 1 JOAN JERONO 1 JOASH KIRWA 1 JONAH KIPKOSGEI 1 JONES KIPNGETICH 1 JORAM KIPLETING 1 JOSEPHINE CHEMUTAI 1 JOSEPHINE JEPTUM 1 JOSHUA KIPKORIR 1 JOSHUA KIPTOO 1 JOSIAH KIPNGETICH 1 JOSPHAT KIPKOSGEI 1 JOY JEBTOK 1 JOYLIN JEMUTAI 1 JOYLINE CHEPKOGEI 1 JOYLINE JERONO 1 JUDITH ADHIAMBO 1 JUDITH CHELAGAT 1 JUDITH CHERONO 1 JUDITH CHEROP 1 JUDITH JEPCHUMBA 1 JULIAN KIPKEMBOI 1 JULIET JEROP 1 JULIUS KIPLAGAT 1 JUSTUS KIPLETING 1 KEITH KIMUTAI 1 KELVIN KIBET 2 KELVIN KIBIEGO 1 KELVIN KIMARU 1 KELVIN KIPCHIRCHIR 2 KELVIN KIPCHUMBA 1 KELVIN KIPKEMBOI 1 KELVIN KIPKIRUI 1 KELVIN KIPKOGEI 1 KELVIN KIPKORIR 1 KELVIN KIPKOSGEI 1 KELVIN KIPLETING 1 KELVIN KIPROTICH 2 KELVIN KIPRUTO 1 KELVIN KIPTANUI 1 KELVIN KIPTOO 2 KELVIN KIPTUM 1 KEN KIPTOO 1 KENEDY KIPROP 1 KENNEDY KIBIWOT 1 KEVIN KIPKEMBOI 1 KEVIN KIPKEMEI 1 KEVIN KIPLETING 1 KEVIN KIPRONO 1 KEVIN NYAOSI 1 KIBIWOT ERICK 1 KIBIYEGO 1 LAWI CHERUIYOT 1 LAWI KIMTAI 1 LEVY KIBET 1 LEWIS IDEMBE 1 LILIAN CHELAGAT 1 LILIAN CHERONO 1 LINBRIGHT JEMTAI 1 LINDA JEPKOSGEI 1 LINFORD KIMUTAI 1 LIZY JEPKOECH 1 LONAH CHEPCHIRCHIR 1 LORINE JEBET 1 LORRINE LIMO 1 LUCY CHEBIWOT 1 LYDIA CHEROP 1 LYDIAH JERONO 1 LYN CHEMTAI 1 LYNE JEPKOECH 1 LYNE JEROP 1 LYNNET JEPLETING 1 MACULINE JEROP 1 MAGRATE ANYANGO 1 MARGARET WAMBOI 1 MARIA JEPKOROS 1 MARION CHEBICHI 1 MARION CHEPKIRUI 1 MARION JERONO 1 MARIUS KIMUTAI 1 MARIUS KIPTANUI 1 MARIUS SEREM 1 MARLEN KIPKIRUI 1 MARY KITITIRWA 1 MARYANNE JEPKEMBOI 1 MARYBETH JELIMO 1 MATHEW KIMURGOR 1 MATHEW KIPCHIRICHIRI 1 MATHEW KIPROP 1 MATHIAS KIPCHIRCHIR 1 MAUREEN CHEPKURUI 1 MAUREEN JEPKOECH 1 MAUREEN JEPKOSGEI 1 MAUREEN JEPMURGOR 1 MAURINE JELAGAT 1 MAURINE JEMELI 1 MAURINE JEMUTAI 1 MAXMILAH JEPKORIR 1 MAXMILLAN JEPKEMBOI 1 MAXMILLIAN KIPLAGAT 1 MAXWEL KIPCHIRICHIRI 1 MAXWELL KIPRONO 1 MELPHA JEPTOO 1 MELVIN JELIMO 1 MERCY BIWOTT 1 MERCY CHEMTAI 2 MERCY CHEMUTAI 1 MERCY CHEPCHIRCHIR 1 MERCY CHEPCHUMBA 1 MERCY CHEPTOO 1 MERCY CHERUTO 1 MERCY JEBET 1 MERCY JELIMO 2 MERCY JEMELI 1 MERCY JEPCHIRCHIR 1 MERCY JEPCHUMBA 1 MERCY JEPKAZI 1 MERCY JEPKIRUI 1 MERCY JEPKOECH 1 MERCY JEPLETING 2 MERCY JEPTANUI 1 MERCY JEPTOO 1 MERCY JEPTUM 1 MERCY JEROP 2 MERCY JEROTICH 1 MERCY KEMEI 1 MERYLYN JEPKOSGEI 1 MESHACK KIPROP 1 METRINE AUMA 1 MEVIN KIBITOK 1 MICHELLE JEMELI 1 MILCAH CHERUTO 1 MILDRED CHELAGAT 1 MILDRED CHEPTOO 1 MILDRED JEPTANUI 1 MILKA KABUKWA 1 MILTON KIPLAGAT 1 MIRIAM JEPCHUMBA 1 MIRIAM JEPKORIR 1 MISHELL CHELAGAT 1 MITCHEL JEPKURUI 1 MITCHELLE JEPNGENO 1 MOGAN KIPCHIRCHIR 1 NAAMAN KIMARU 1 NAFTALI KIPTANUI 1 NANCY CHEBICHI 1 NANCY CHELIMO 1 NANCY CHEPCHIRCHIR 1 NANCY CHEPKURGAT 1 NANCY JEBICHII 1 NANCY JEPNYETICH 1 NAOMI JEBET 1 NAOMI JEMUTAI 1 NAOMI JEROP 1 NASTA MUHONJA 1 NEEMA ATIENO 1 NEREAH JEPKURUI 1 NICODEMUS KIPCHIRCHI 1 NICOLE MBONE 1 NIKANOR KIPKEMEI 1 NIXON KIPKEMEI 1 NIXON KIPTOO 1 NIXON KIRWA 1 NOAH KIPLAGAT 1 NORAH JEPTOO 1 NORBERT CHERUIYOT 1 NORINE JEPKEMBOI 1 NORMAN KIBET 1 OBADIA KIPTOO 1 OLIVIA JEROTICH 1 OLIVIAH CHEBIWOT 1 ORPHA JEPKORIR 1 PAMELAH AKOTH 1 PATRICK KIPTOO 1 PERIS ATIENO 1 PHANICE JEPKEMBOI 1 PHEBIAN CHEPNGETICH 1 PHILAH JEROP 1 PHILIP KIMURGOR 2 PHOEB CHEBET 1 PHOZIAH CHERUTO 1 PURITY CHELIMO 1 PURITY CHEPCHIRICHIR 1 PURITY CHEPKORIR 1 PURITY JEBITOK 1 PURITY JERONO 1 REBECCAH CHEPKORIR 1 REFA ANZEMO 1 RENCY CHEPCHUMBA 1 RICHARD KIRUI 1 ROY KIGEN 1 RUTH CHEPKEMBOI 1 RUTH CHEPKOECH 1 RUTH JEBITOK 1 RUTH JELIMO 1 RUTH JEPCHIRCHIR 1 RUTH JEPKEMBOI 1 RUTH JEPKOSGEI 1 RUTH JEPLETING 1 SADRA CHEPKEMBOI 1 SALIM KIPKOSGEI 1 SALLY JEPKOSGEI 1 SAMMY ODONGO 1 SAMUEL KIPKOECH 1 SARAH CHERONO 1 SCOLLAH CHEROP 1 SEITH KIPCHIRCHIR 1 SHADRACK KIPLIMO 1 SHAMILLAH CHEMTAI 1 SHARON CHEBET 1 SHARON CHEPCHUMBA 1 SHARON CHEPKOECH 1 SHARON JEBET 1 SHARON JELIMO 1 SHARON JEMELI 1 SHARON JEPKEMBOI 1 SHARON JEPLETING 1 SHARON JEPNGETICH 1 SHARON JEPTOO 3 SHARON JERUTO 1 SHEILA CHEBET 1 SHEILA CHEROP 1 SHEILA JEPKEMBOI 2 SHEILA JEPKOGEI 1 SHEILA JEPLETING 1 SHELVIN CHEPKOECH 1 SHERYL JELAGAT 1 SHERYL JEMUTAI 1 SHEYLEN CHEROTICH 1 SHIRLEAN CHEPTUM 1 SILA CHERUYOT 1 SILA KIBET 1 SISGO CHEPKOECH 1 SOLOMON KIPKEMBOI 1 SOPHY KETER 1 SOSTEN KIBICHII 1 SPENCER KIBIWOT 1 STALIN KIPLIMO 1 STANLEY KIPTOO 1 STEPHEN KIPROP 1 STEVEN O OURE 1 SUSAN NYATHANGU 1 SWINNERTON JEPKEMBOI 1 SYLVIA CHEPKIRUI 1 SYLVIA JEPKEMBOI 1 TIMOTHY KIMUTAI 1 TIMOTHY KIPTOO 1 TITUS KIMUTAI 1 TITUS KIPROP 1 TOBIAS KIPRUTO 1 VALENTINE CHEPCHIRCH 1 VALENTINE CHEPTOO 1 VALENTINE JEPKORIR 1 VALENTINE JEPKOSGEI 1 VALNERYNE JELANGAT 1 VELMA EMOLI 1 VICKLINE JEPKEMBOI 1 VICTOR KIBET 1 VICTOR KIPKOECH 1 VICTOR KIPLAGAT 1 VICTOR KIPRONO 1 VICTOR KIPTOO 1 VICTOR KIPTUM 1 VICTOR KIPYEGO 1 VICTORIA CHERONO 1 VIDELLIS KIPKOECH 1 VINCENT KIPKOECH 1 VINCENT KIPLIMO 1 VINCENT KIPROTICH 1 VINCENT KIPTUM 1 VINCENT KIPYEGO 1 VINCENT ODHIAMBO 1 VIOLA JEPKORIR 1 VIRAMILA JEPKOECH 1 VIRGINIA CHEMUTAI 1 VIVIAN CHEPCHUMBA 1 VIVIAN CHEPKOECH 1 VIVIAN CHEPKURUI 1 WENSELIUS KIPROP 1 WESLEY KIPLIMO 1 WHITNEY JEMUTAI 1 WIDNEY CHEMUTAI 1 WILLIAM KIMAIYO 1 WILLIAM KIPKOSGEI 1 WIMRIGHT KHAMASI 1 WINNEY CHEPTOO 1 WINNY CHEROP 1 WISLEY KIMARU 1 YVONE JEPCHIRCHIR 1 YVONNE CHEPCHUMBA 1 ZEDDY CHEPLETING 1 ZEDDY JELAGAT 1 ZENAH JERONO 1 Child measured The primary female respondent Was this person measured? If answer is 2 > Go to 7 (ant07 - variable name in dataset). All children that are household members and are 5 years or younger. 657 0 1 Yes 560 2 No 97 Day measured The primary female respondent Date of Measurement (DAY/MONTH/YEAR) All children that are household members and are 5 years or younger. 560 97 1 98 16.443 10.613 1 14 2 9 3 26 4 24 5 16 6 18 7 20 8 24 9 15 10 13 11 8 12 17 13 15 14 29 15 24 16 15 17 11 18 16 19 21 20 29 21 29 22 23 23 12 24 6 25 12 26 19 27 22 28 18 29 20 30 23 31 9 98 3 Sysmiss 97 Month measured The primary female respondent Date of Measurement (DAY/MONTH/YEAR) All children that are household members and are 5 years or younger. 560 97 3 98 5.486 6.98 3 102 4 177 5 92 6 40 7 104 8 42 98 3 Sysmiss 97 Year measured The primary female respondent Date of Measurement (DAY/MONTH/YEAR) All children that are household members and are 5 years or younger. 560 97 98 2004 1993.789 139.255 98 3 2004 557 Sysmiss 97 Weight (KG) The primary female respondent WEIGHT (Kg) All children that are household members and are 5 years or younger. 560 97 2.5 98 12.371 6.138 Amount of clothing The primary female respondent Amount of clothing worn by child. All children that are household members and are 5 years or younger. 560 97 1 More than normal 16 2 Normal 526 3 Removed some clothing 14 8 4 Sysmiss 97 Height or Length (cm) The primary female respondent HEIGHT or LENGTH (cm) Go to next child. All children that are household members and are 5 years or younger. 559 98 32.1 125.6 87.083 15.582 Reason not measured The primary female respondent Reason not measured? All children that are household members and are 5 years or younger. 100 557 1 At school 2 2 At work 0 3 Boarding/traveling 3 4 Serious Illness 1 5 Refusal 7 6 Other 87 Sysmiss 557 Anthropometric Module done 1553 0 1 Yes 1553 2 No 0 Household ID Household ID 1553 0 1 9694 810.474 1174.01 Respondent ID Respondent ID 1553 0 1 402 2 1086 3 53 4 6 5 2 7 4 Day of interview Date of Interview. Day. 1553 0 1 31 15.681 8.799 1 26 2 49 3 56 4 75 5 67 6 53 7 57 8 55 9 48 10 44 11 32 12 36 13 48 14 62 15 64 16 57 17 28 18 51 19 60 20 65 21 62 22 68 23 44 24 10 25 38 26 52 27 51 28 67 29 48 30 63 31 17 Month of interview Date of Interview. Month. 1553 0 3 214 4 417 5 266 6 254 7 294 8 108 Year of interview Date of Interview. Year. 1553 0 2004 1553 Number of children 12 yrs 1553 0 ID CODE The primary female respondent All children that are household members and are 12 years or younger. 1552 1 1 631 2 465 3 259 4 136 5 47 6 12 7 2 Sysmiss 1 ID code The primary female respondent Copy ID CODE of all children 12 years or younger. All children that are household members and are 12 years or younger. 1553 0 2 44 3 247 4 286 5 251 6 232 7 173 8 125 9 85 10 48 11 31 12 12 13 9 14 5 15 3 16 1 17 1 Have a vaccination card The primary female respondent Does [Name] have a vaccination card? If YES: May I please see it? If answer is 2 > Go to 12 (ant12 - variable name in dataset). All children that are household members and are 12 years or younger. 1551 2 1 Yes 742 2 No 808 8 1 Sysmiss 2 Where received most vaccinations The primary female respondent Where did [Name] receive most of the vaccinations? All children that are household members and are 12 years or younger. 709 844 1 98 5.859 14.941 BCG vaccination - Day The primary female respondent COPY VACCINATION DATES (DAY/MONTH/YEAR) FOR EACH VACCINE FROM THE CARD. BCG. Day. All children that are household members and are 12 years or younger. 702 851 1 98 17.236 15.324 1 21 2 20 3 23 4 21 5 33 6 21 7 21 8 29 9 31 10 16 11 28 12 23 13 23 14 15 15 32 16 29 17 20 18 26 19 18 20 18 21 19 22 24 23 21 24 20 25 27 26 21 27 19 28 16 29 19 30 20 31 11 98 17 Sysmiss 851 BCG vaccination - Month The primary female respondent COPY VACCINATION DATES (DAY/MONTH/YEAR) FOR EACH VACCINE FROM THE CARD. BCG. Month. All children that are household members and are 12 years or younger. 702 851 1 98 8.769 14.462 1 70 2 45 3 48 4 48 5 52 6 55 7 83 8 45 9 69 10 72 11 54 12 44 98 17 Sysmiss 851 BCG vaccination - Year The primary female respondent COPY VACCINATION DATES (DAY/MONTH/YEAR) FOR EACH VACCINE FROM THE CARD. BCG. Year. All children that are household members and are 12 years or younger. 685 868 1991 20 1992 37 1993 41 1994 40 1995 60 1996 25 1997 30 1998 46 1999 66 2000 62 2001 74 2002 68 2003 84 2004 32 Sysmiss 868 Polio 0 vaccination - Day The primary female respondent COPY VACCINATION DATES (DAY/MONTH/YEAR) FOR EACH VACCINE FROM THE CARD. Polio 0 (at birth). Day. All children that are household members and are 12 years or younger. 700 853 1 98 26.427 29.296 1 18 2 16 3 16 4 20 5 20 6 22 7 24 8 28 9 26 10 18 11 22 12 20 13 20 14 16 15 27 16 27 17 20 18 25 19 12 20 15 21 18 22 22 23 21 24 18 25 23 26 18 27 16 28 15 29 18 30 19 31 6 98 94 Sysmiss 853 Polio 0 vaccination - Month The primary female respondent COPY VACCINATION DATES (DAY/MONTH/YEAR) FOR EACH VACCINE FROM THE CARD. Polio 0 (at birth). Month. All children that are household members and are 12 years or younger. 700 853 1 98 18.913 31.327 1 59 2 34 3 38 4 46 5 47 6 59 7 70 8 43 9 56 10 62 11 49 12 43 98 94 Sysmiss 853 Polio 0 vaccination - Year The primary female respondent COPY VACCINATION DATES (DAY/MONTH/YEAR) FOR EACH VACCINE FROM THE CARD. Polio 0 (at birth). Year. All children that are household members and are 12 years or younger. 606 947 1991 21 1992 33 1993 37 1994 37 1995 44 1996 25 1997 27 1998 43 1999 60 2000 61 2001 56 2002 62 2003 71 2004 29 Sysmiss 947 Polio 1 vaccination - Day The primary female respondent COPY VACCINATION DATES (DAY/MONTH/YEAR) FOR EACH VACCINE FROM THE CARD. Polio 1. Day. All children that are household members and are 12 years or younger. 701 852 1 98 19.77 19.624 1 13 2 24 3 34 4 17 5 24 6 19 7 23 8 17 9 18 10 18 11 24 12 20 13 22 14 37 15 22 16 29 17 16 18 30 19 18 20 16 21 17 22 19 23 25 24 20 25 24 26 22 27 19 28 30 29 17 30 24 31 9 98 34 Sysmiss 852 Polio 1 vaccination - Month The primary female respondent COPY VACCINATION DATES (DAY/MONTH/YEAR) FOR EACH VACCINE FROM THE CARD. Polio 1. Month. All children that are household members and are 12 years or younger. 701 852 1 98 11.111 19.906 1 55 2 53 3 36 4 59 5 49 6 54 7 58 8 76 9 54 10 67 11 59 12 47 98 34 Sysmiss 852 Polio 1 vaccination - Year The primary female respondent COPY VACCINATION DATES (DAY/MONTH/YEAR) FOR EACH VACCINE FROM THE CARD. Polio 1. Year. All children that are household members and are 12 years or younger. 667 886 1991 17 1992 39 1993 36 1994 46 1995 52 1996 28 1997 28 1998 50 1999 58 2000 67 2001 67 2002 66 2003 79 2004 34 Sysmiss 886 Polio 2 vaccination - Day The primary female respondent COPY VACCINATION DATES (DAY/MONTH/YEAR) FOR EACH VACCINE FROM THE CARD. Polio 2. Day. All children that are household members and are 12 years or younger. 700 853 1 98 22.34 23.959 1 13 2 22 3 11 4 25 5 17 6 22 7 29 8 20 9 22 10 25 11 23 12 29 13 21 14 28 15 26 16 21 17 26 18 23 19 12 20 20 21 20 22 15 23 16 24 27 25 26 26 19 27 19 28 18 29 18 30 21 31 9 98 57 Sysmiss 853 Polio 2 vaccination - Month The primary female respondent COPY VACCINATION DATES (DAY/MONTH/YEAR) FOR EACH VACCINE FROM THE CARD. Polio 2. Month. All children that are household members and are 12 years or younger. 700 853 1 98 14.163 25.198 1 54 2 45 3 62 4 34 5 47 6 52 7 47 8 63 9 72 10 54 11 62 12 51 98 57 Sysmiss 853 Polio 2 vaccination - Year The primary female respondent COPY VACCINATION DATES (DAY/MONTH/YEAR) FOR EACH VACCINE FROM THE CARD. Polio 2. Year. All children that are household members and are 12 years or younger. 643 910 1991 16 1992 38 1993 36 1994 41 1995 50 1996 34 1997 27 1998 44 1999 61 2000 67 2001 60 2002 62 2003 79 2004 28 Sysmiss 910 Polio 3 vaccination - Day The primary female respondent COPY VACCINATION DATES (DAY/MONTH/YEAR) FOR EACH VACCINE FROM THE CARD. Polio 3. Day. All children that are household members and are 12 years or younger. 701 852 1 98 25.876 28.299 1 17 2 16 3 16 4 18 5 18 6 31 7 24 8 21 9 17 10 19 11 21 12 21 13 19 14 17 15 26 16 21 17 25 18 22 19 22 20 18 21 30 22 22 23 19 24 19 25 15 26 16 27 25 28 22 29 13 30 14 31 10 98 87 Sysmiss 852 Polio 3 vaccination - Month The primary female respondent COPY VACCINATION DATES (DAY/MONTH/YEAR) FOR EACH VACCINE FROM THE CARD. Polio 3. Month. All children that are household members and are 12 years or younger. 701 852 1 98 18.024 30.312 1 59 2 49 3 43 4 50 5 46 6 32 7 62 8 43 9 54 10 61 11 53 12 62 98 87 Sysmiss 852 Polio 3 vaccination - Year The primary female respondent COPY VACCINATION DATES (DAY/MONTH/YEAR) FOR EACH VACCINE FROM THE CARD. Polio 3. Year. All children that are household members and are 12 years or younger. 614 939 1991 12 1992 38 1993 38 1994 38 1995 45 1996 41 1997 21 1998 40 1999 56 2000 68 2001 55 2002 58 2003 74 2004 30 Sysmiss 939 DPT 1 vaccination - Day The primary female respondent COPY VACCINATION DATES (DAY/MONTH/YEAR) FOR EACH VACCINE FROM THE CARD. DPT 1. Day. All children that are household members and are 12 years or younger. 701 852 1 98 18.262 16.791 1 16 2 23 3 33 4 15 5 29 6 19 7 28 8 22 9 19 10 19 11 24 12 14 13 26 14 36 15 21 16 30 17 11 18 28 19 17 20 18 21 16 22 21 23 23 24 16 25 24 26 25 27 26 28 32 29 17 30 23 31 8 98 22 Sysmiss 852 DPT 1 vaccination - Month The primary female respondent COPY VACCINATION DATES (DAY/MONTH/YEAR) FOR EACH VACCINE FROM THE CARD. DPT 1. Month. All children that are household members and are 12 years or younger. 701 852 1 98 9.653 16.274 1 55 2 53 3 48 4 50 5 47 6 46 7 60 8 74 9 56 10 69 11 63 12 58 98 22 Sysmiss 852 DPT 1 vaccination - Year The primary female respondent COPY VACCINATION DATES (DAY/MONTH/YEAR) FOR EACH VACCINE FROM THE CARD. DPT 1. Year. All children that are household members and are 12 years or younger. 679 874 1991 15 1992 39 1993 36 1994 47 1995 51 1996 28 1997 30 1998 48 1999 58 2000 75 2001 72 2002 65 2003 81 2004 34 Sysmiss 874 DPT 2 vaccination - Day The primary female respondent COPY VACCINATION DATES (DAY/MONTH/YEAR) FOR EACH VACCINE FROM THE CARD. DPT 2. Day. All children that are household members and are 12 years or younger. 701 852 1 98 20.397 20.347 1 10 2 25 3 12 4 22 5 20 6 19 7 25 8 23 9 19 10 31 11 25 12 29 13 25 14 26 15 21 16 21 17 24 18 26 19 13 20 21 21 18 22 18 23 19 24 30 25 26 26 21 27 21 28 21 29 21 30 22 31 9 98 38 Sysmiss 852 DPT 2 vaccination - Month The primary female respondent COPY VACCINATION DATES (DAY/MONTH/YEAR) FOR EACH VACCINE FROM THE CARD. DPT 2. Month. All children that are household members and are 12 years or younger. 701 852 1 98 11.672 20.964 1 56 2 51 3 62 4 47 5 40 6 50 7 42 8 61 9 77 10 55 11 63 12 59 98 38 Sysmiss 852 DPT 2 vaccination - Year The primary female respondent COPY VACCINATION DATES (DAY/MONTH/YEAR) FOR EACH VACCINE FROM THE CARD. DPT 2. Year. All children that are household members and are 12 years or younger. 663 890 1991 16 1992 38 1993 37 1994 42 1995 53 1996 31 1997 28 1998 43 1999 62 2000 73 2001 68 2002 61 2003 80 2004 31 Sysmiss 890 DPT 3 vaccination - Day The primary female respondent COPY VACCINATION DATES (DAY/MONTH/YEAR) FOR EACH VACCINE FROM THE CARD. DPT 3. Day. All children that are household members and are 12 years or younger. 701 852 1 98 23.049 25.085 1 16 2 14 3 19 4 24 5 15 6 32 7 23 8 24 9 17 10 19 11 24 12 21 13 24 14 25 15 32 16 17 17 27 18 21 19 19 20 15 21 28 22 23 23 18 24 25 25 16 26 14 27 27 28 20 29 13 30 16 31 9 98 64 Sysmiss 852 DPT 3 vaccination - Month The primary female respondent COPY VACCINATION DATES (DAY/MONTH/YEAR) FOR EACH VACCINE FROM THE CARD. DPT 3. Month. All children that are household members and are 12 years or younger. 701 852 1 98 15.056 26.758 1 64 2 52 3 53 4 52 5 49 6 37 7 48 8 41 9 56 10 70 11 54 12 60 98 65 Sysmiss 852 DPT 3 vaccination - Year The primary female respondent COPY VACCINATION DATES (DAY/MONTH/YEAR) FOR EACH VACCINE FROM THE CARD. DPT 3. Year. All children that are household members and are 12 years or younger. 636 917 1991 12 1992 39 1993 38 1994 40 1995 50 1996 32 1997 26 1998 41 1999 57 2000 70 2001 67 2002 56 2003 82 2004 26 Sysmiss 917 Measles vaccination - Day The primary female respondent COPY VACCINATION DATES (DAY/MONTH/YEAR) FOR EACH VACCINE FROM THE CARD. Measles. Day. All children that are household members and are 12 years or younger. 701 852 1 98 31.385 32.611 1 7 2 17 3 14 4 15 5 22 6 24 7 16 8 24 9 14 10 23 11 25 12 18 13 8 14 22 15 17 16 23 17 15 18 27 19 16 20 17 21 20 22 24 23 12 24 19 25 22 26 10 27 23 28 27 29 18 30 21 31 12 98 129 Sysmiss 852 Measles vaccination - Month The primary female respondent COPY VACCINATION DATES (DAY/MONTH/YEAR) FOR EACH VACCINE FROM THE CARD. Measles. Month. All children that are household members and are 12 years or younger. 701 852 1 98 23.074 35.731 1 46 2 42 3 61 4 54 5 60 6 53 7 50 8 42 9 51 10 39 11 37 12 37 98 129 Sysmiss 852 Measles vaccination - Year The primary female respondent COPY VACCINATION DATES (DAY/MONTH/YEAR) FOR EACH VACCINE FROM THE CARD. Measles. Year. All children that are household members and are 12 years or younger. 572 981 1992 28 1993 37 1994 41 1995 37 1996 46 1997 24 1998 23 1999 50 2000 62 2001 59 2002 68 2003 66 2004 31 Sysmiss 981 Receive any vaccination The primary female respondent Did [Name] ever receive any vaccinations to prevent him/her from getting diseases? If answer is 2 > Go to 21 (ant21 - variable name in dataset). All children that are household members and are 12 years or younger. 858 695 1 Yes 837 2 No 7 8 4 9 10 Sysmiss 695 Where received most vaccinations The primary female respondent Where did [Name] receive most of the vaccinations? All children that are household members and are 12 years or younger. 849 704 1 99 5.21 12.245 Received BCG vaccine The primary female respondent All children that are household members and are 12 years or younger. 850 703 1 Yes 833 2 No 3 99 Don’t Know 14 Sysmiss 703 Received Polio vaccine The primary female respondent Polio vaccine, that is, drops in the mouth? If answer is 2 or 99 > Go to 18 (ant18 - variable name in dataset). All children that are household members and are 12 years or younger. 895 658 1 Yes 875 2 No 1 99 Don’t Know 19 Sysmiss 658 How many times received polio vaccine The primary female respondent How many times? All children that are household members and are 12 years or younger. 875 678 1 99 5.237 12.405 When was the first polio vaccine given The primary female respondent When was the first vaccine given, just after birth or later? All children that are household members and are 12 years or younger. 861 692 1 Just after birth 541 2 Later 307 9 13 Sysmiss 692 Received DPT vaccine The primary female respondent DPT vaccination, that is, an injection usually given the same time as polio drops? If answer is 2 or 99 > Go to 20 (ant20 - variable name in dataset). All children that are household members and are 12 years or younger. 865 688 1 Yes 836 2 No 8 99 Don’t Know 21 Sysmiss 688 How many times received DPT vaccine The primary female respondent How many times? All children that are household members and are 12 years or younger. 836 717 1 99 4.455 11.892 Received an injection to prevent measles The primary female respondent An injection to prevent measles? Go to next person. All children that are household members and are 12 years or younger. 892 661 1 Yes 803 2 No 69 99 Don’t Know 20 Sysmiss 661 Why not received vaccinations The primary female respondent Why did [Name] not receive vaccinations? All children that are household members and are 12 years or younger. 30 1523 1 Clinic too far away /difficult to get to 3 2 Child or parent was sick 1 3 Vaccine out of stock 4 4 Forgot to take child 5 5 Don’t believe vaccine is effective 0 6 Don’t know about the vaccine 0 7 Other (specify) 16 9 1 Sysmiss 1523 Anthropometric Module done 4915 0 1 Yes 4915 2 No 0 Household ID Household ID 4915 0 1 9667 731.158 1123.548 Respondent ID Respondent ID 4915 0 1 732 2 4100 3 67 4 16 Day of interview Date of Interview. Day. 4915 0 1 31 15.138 8.689 1 100 2 73 3 232 4 296 5 196 6 217 7 144 8 164 9 142 10 186 11 91 12 204 13 174 14 202 15 240 16 174 17 68 18 110 19 256 20 201 21 196 22 160 23 106 24 23 25 77 26 130 27 164 28 179 29 168 30 152 31 90 Month of interview Date of Interview. Month. 4915 0 3 1103 4 1471 5 764 6 298 7 821 8 458 Year of interview Date of Interview. Year. 4915 0 2004 4915 Count of Section C 4915 0 1 52 19.699 10.372 ID code The primary female respondent ID Code If the child has a vaccination card, turn to the back of the card. Record the age (in months) and weight (in kg) for all points that are marked on the card. 4915 0 1 50 10.324 8.179 ID code The primary female respondent 4915 0 2 35 3 916 4 879 5 813 6 681 7 577 8 420 9 265 10 161 11 96 12 22 13 31 14 14 15 5 Age in months The primary female respondent Age in months. 4915 0 0 50 6.151 4.479 Weight in KG The primary female respondent Weight (kg) 4915 0 1.4 21 6.811 1.997 Polygamous HH module 79 0 1 Yes 79 2 No 0 Household ID Household ID 79 0 19 9275 1536.354 2606.82 19 2 43 3 48 2 166 2 201 2 212 4 255 2 276 2 280 2 410 2 412 2 456 2 518 2 524 2 608 2 616 2 625 3 653 1 667 2 752 2 906 2 980 2 993 3 1010 2 1114 2 1210 2 1216 3 1225 2 1240 2 1265 2 1275 2 1278 4 9012 2 9134 2 9210 2 9275 2 Respondent ID Respondent ID 77 2 1 65 2 12 Sysmiss 2 Day of interview Date of Interview. Day. 79 0 1 30 14.354 9.952 1 2 2 10 4 3 5 4 6 8 8 3 9 6 10 4 12 2 13 2 16 2 20 2 21 4 22 3 24 6 25 2 26 5 27 2 28 2 29 2 30 5 Month of interview Date of Interview. Month. 79 0 3 15 4 18 5 5 6 7 7 16 8 18 Year of interview Date of Interview. Year. 79 0 2004 79 Male name The primary male respondent Male Name 71 0 ARAP CHERUIYOT 2 BEN KIPRONO 2 DANIEL K MAIYO 2 DANIEL KIPLEL CHOGE 2 ERNEST LEL 4 FRANCIS MISOI 2 HENRY KAP MWEI 2 HENRY MWEI 2 ISAAC TABUT 2 JACKSON MAGUT 2 JOHN KORIR 3 JOSEPH AWORI 2 JULIUS KILLI 2 JUMA KIPTANUI CHUMO 2 KIBII BOEN 2 KIPTOO KOSGEI 2 KITUR ARAP MISOI 2 KITUR MISOI 3 LINUS KIPTANUI 2 MALAKWEN SIGISIN 2 MARY JEROP 1 MESHACK MAGUT 2 NOAH ONYANCHA 2 PAUL BIRGEN 3 PETER SIGISIN 2 RUEBEN KEMBOI 2 SERONEI MOHAMMED 2 SHADRACK B KIBIRGEN 2 SIMEON T KIPSAINA 4 SOME MUREI 2 WILSON KIBIEGO MELI 3 WILSON KORIR 2 Male initial HH ID The primary male respondent Male initial Household ID 79 0 10 993 343.266 266.023 10 2 12 2 19 2 43 3 48 2 114 2 125 2 134 2 166 2 201 2 210 4 212 4 216 3 225 2 240 2 255 2 265 2 275 4 276 2 278 4 280 2 410 2 412 2 456 2 518 2 524 2 608 2 616 2 625 3 653 1 667 2 906 2 980 2 993 3 Male individual ID The primary male respondent Male Individual ID 71 8 1 68 2 3 Sysmiss 8 Have more than 1 wife The primary male respondent Do you have more than 1 wife? If answer is 2 > End. 79 0 1 Yes 79 2 No 0 Number of wives The primary male respondent 79 0 Count The primary male respondent 79 0 Wife's name The primary male respondent Wife Name 79 0 ANGELA BIRGEN 1 ANN CHEBICHIY 1 ANN SIGISIN 1 ASHA JEMELI 1 BORNES JELAGAT 1 BOTT BUTIA 1 CAROLINE CHUMO 1 CAROLINE J KILLI 1 CHEBOO CHERUIYOT 1 CHRISTINE MELI 1 CHRISTINE TARUS 1 CLEMENTINA BEGCHIBE 1 DECEASED 1 DIFINA SIGISIN 1 DINA JEMELI MELI 1 DORCAS CHOGE 1 ELIZABETH KEMBOI 1 ELIZABETH NGENY 1 ELIZABETH TARUS 1 ELSEBA MAGUT 1 EMILY KEMBOI 1 ESTHER OKANGO 1 EVERLINE MISOI 1 EVERLYNE SIGISIN 1 FAITH KETTER 1 HELLEN CHEROTICH 1 HELLEN KOSGEI 1 IRENE MOSO 1 JANE MUREI 1 JANE ONYAI 1 JANE WAMBOI 1 JULIA KAP MWEI 1 JULIA MISOI 1 JULIA MWEI 1 KOBOT KITONGO 2 LEAH J KILLI 1 LILIAN CHEPTANUI 1 LOISE TARUS 1 LUCIA ONYANCHA 1 LUCINAH TANUI 1 MARGRINA TANUI 1 MARIA KOSGEI 1 MARY BOEN 1 MARY MISOI 1 MARY MUREI 1 MEMUNA MOHAMED 1 MILL JEPKORIR 1 MRS MATUTU 1 MWARI HASAN 1 NANCY TABUT 1 NAOMI MISOI 1 PAULINE BIRGEN 1 PAULINE CHERUIYOT 1 PAULINE MAIYO 1 PRICILLAH LEL 1 PRISCILAH LEL 1 RACHAEL KIPRONO 1 RACHEAL TARUS 1 RAEL BIRGEN 1 RAEL CHEPCHIRCHIR 1 REBECAH KAP MWEI 1 REBECCAH MWEI 1 ROSA MISOI 1 ROSELINE LEL 1 ROSELYNE LEL 1 SARAH AKUMU 1 SARAH MAGUT 1 SARAH MAIYO 1 SARAH TABUT 1 SECOND WIFE 1 SELINA KOSGEI 1 SELINA MUTAI 1 SELINA MWAI 1 SELINA SIGISIN 1 SELLY CHOGE 1 SUSAN CHUMO 1 SUSAN MATUTU 1 TRUFOSA BARTILE 1 Wife's household ID The primary male respondent Wife’s Household ID 70 9 0 134 8.043 22.206 0 35 8 2 9 31 134 2 Sysmiss 9 Wife's individual ID The primary male respondent Wife’s Individual ID 69 10 0 98 3.406 11.631 0 1 1 14 2 48 3 3 9 2 98 1 Sysmiss 10 Wife's district of residence The primary male respondent Wife’s District of Residence 78 0 2 1 3 1 4 33 98 1 KISUMU 1 MOMBASA 1 N NANDI 4 NANDI 31 NANDI NORT 2 NANDINORTH 1 NANDISOUTH 1 UASIN GISH 1 Wife's village of residence The primary male respondent Wife’s Village of Residence 78 0 1 22 13 3 166 1 183 1 192 1 24 1 4 1 8 1 98 2 AINAPNGETI 1 BOITO 1 CHEPTERIT 1 KAMOBO 1 KANO 1 KAPKATET 1 KAPNYAMISA 1 KAPSABET 1 KAPSILE 1 KAPSOEN 2 KAPTIEN 1 KIPKOMO 2 KOKWET 2 LAMAIWO 2 LAMAIYWET 1 LELMOKWO 3 LELMOKWO E 1 MASAN 2 MLANGO CTR 2 MOI BARRAC 1 MOSORIOT 2 MTOPANGA 1 MUTWOT 8 OLESOYET 2 SARURA 1 SURUNGAI 1 TEBESON 2 Separate Assets The primary male respondent Separate ASSETS? 78 1 1 Yes 28 2 No 29 8 21 Sysmiss 1 Separate Income The primary male respondent Separate INCOME? 78 1 1 Yes 42 2 No 13 8 23 Sysmiss 1 Separate Unexpected Event The primary male respondent Separate UNEXP. EVENTS? 78 1 1 Yes 35 2 No 20 8 23 Sysmiss 1 Separate Agriculture The primary male respondent Separate AGRICULTURE? 78 1 1 Yes 35 2 No 22 8 21 Sysmiss 1 Separate Other HH EXP The primary male respondent Separate OTHER HH EXP.? 78 1 1 Yes 30 2 No 25 8 23 Sysmiss 1 Youth Module 367 0 1 Yes 367 2 No 0 Household ID Household ID 367 0 1 9653 922.297 1710.64 1 1 7 1 8 1 10 1 12 1 15 1 18 1 19 1 20 1 22 1 23 1 26 1 28 1 30 1 33 1 34 1 35 1 38 1 39 1 41 1 47 1 48 1 49 1 53 1 60 1 68 1 70 1 74 1 77 1 79 1 80 1 84 1 93 1 94 1 95 1 104 1 106 1 108 1 112 1 113 1 114 1 115 1 120 1 123 1 124 1 128 1 150 1 151 1 154 1 155 1 156 1 158 1 161 1 162 1 165 1 166 1 167 1 168 1 169 1 170 1 171 1 172 1 174 1 200 1 201 1 204 1 205 1 210 1 211 1 213 1 216 1 217 1 222 1 252 1 253 1 255 1 262 1 263 1 273 1 275 1 276 1 277 1 278 1 280 1 281 1 301 1 302 1 303 1 306 1 307 1 309 1 311 1 312 1 313 1 315 1 317 1 318 1 350 1 351 1 353 1 354 1 358 1 359 1 361 1 363 1 365 1 366 1 369 1 400 1 401 1 402 1 403 1 405 1 406 1 415 1 417 1 418 1 419 1 420 1 421 1 424 1 425 1 426 1 427 1 430 1 431 1 436 1 438 1 451 1 452 1 454 1 455 1 456 1 459 1 460 1 466 1 468 1 470 1 473 1 475 1 478 1 479 1 480 1 481 1 483 1 484 1 485 1 487 1 489 1 490 1 500 1 502 1 504 1 505 1 506 1 507 1 510 1 516 1 518 1 519 1 520 1 521 1 522 1 523 1 530 1 531 1 533 1 534 1 535 1 537 1 538 1 539 1 540 1 541 1 544 1 546 1 548 1 549 1 550 1 551 1 552 1 554 1 556 1 560 1 562 1 564 1 565 1 580 1 581 1 587 1 593 1 595 1 597 1 599 1 600 1 601 1 605 1 607 1 608 1 609 1 611 1 612 1 614 1 615 1 617 1 618 1 619 1 620 1 622 1 624 1 626 1 630 1 632 1 633 1 635 1 639 1 640 1 653 1 658 1 660 1 663 1 665 1 670 1 671 1 675 1 676 1 680 1 681 1 682 1 686 1 687 1 690 1 691 1 694 1 696 1 698 1 706 1 709 1 711 1 712 2 716 1 725 1 726 1 727 1 730 1 731 1 733 1 736 1 739 1 741 1 746 1 748 1 751 1 752 1 757 1 766 1 775 1 776 1 779 1 784 1 790 1 791 1 792 1 793 1 794 1 813 1 814 1 817 1 822 1 825 1 850 1 920 1 927 1 934 1 943 1 949 1 954 1 956 1 957 1 962 1 964 1 970 1 971 1 979 1 1000 1 1003 1 1012 1 1021 1 1101 1 1102 1 1105 1 1113 1 1115 1 1116 1 1119 1 1120 1 1121 1 1127 1 1129 1 1131 1 1132 1 1133 1 1136 1 1137 1 1139 1 1142 1 1143 1 1144 1 1145 1 1146 1 1150 1 1151 1 1152 1 1154 1 1155 1 1157 1 1161 1 1170 1 1171 1 1173 1 1202 1 1205 1 1206 1 1209 1 1212 1 1215 1 1216 1 1221 1 1223 1 1225 1 1227 1 1232 1 1235 1 1237 1 1240 1 1242 1 1244 1 1247 1 1249 1 1250 1 1252 1 1254 1 1259 1 1261 1 1265 1 1272 1 1274 1 1275 1 1277 1 1278 1 1282 1 1283 1 9012 1 9134 1 9166 1 9210 1 9216 1 9240 1 9255 1 9265 1 9275 1 9280 1 9412 1 9518 1 9608 1 9653 1 Respondent ID Respondent ID 367 0 2 58 3 136 4 67 5 36 6 34 7 16 8 9 9 4 10 3 11 1 13 1 15 2 Day of interview Date of Interview. Day. 367 0 1 98 16.823 9.688 1 3 2 18 3 7 4 10 5 11 6 15 7 13 8 15 9 10 10 11 11 4 12 10 13 11 14 12 15 13 16 13 17 5 18 11 19 17 20 16 21 16 22 18 23 8 24 10 25 13 26 19 27 11 28 12 29 17 30 12 31 5 98 1 Month of interview Date of Interview. Month. 367 0 3 98 5.275 5.081 3 52 4 117 5 77 6 39 7 53 8 28 98 1 Year of interview Date of Interview. Year. 367 0 2004 367 1. Sex Sex of Respondent 367 0 1 Male 204 2 Female 163 2. Age What is your age? 367 0 16 42 22.003 5.615 3. Month of birth In what month and year were you born? Month. 367 0 1 27 2 25 3 23 4 35 5 29 6 30 7 24 8 26 9 26 10 21 11 20 12 16 98 10 99 Don’t Know 55 3. Year of birth In what month and year were you born? Year. 367 0 99 Don’t Know 0 1962 2 1964 4 1966 1 1968 6 1969 3 1970 5 1971 5 1972 6 1973 8 1974 7 1975 10 1976 13 1977 8 1978 18 1979 9 1980 21 1981 13 1982 29 1983 30 1984 34 1985 28 1986 35 1987 56 1988 16 4. Currently attending school Are you currently attending school? If answer is 2 > Go to 6 (y06 - variable name in dataset). 367 0 1 Yes 147 2 No 220 5. Expect to remain in school during 2004 Do you expect to remain in school during 2004? Go to 7 (y07 - variable name in dataset). 148 219 1 Yes 146 2 No 1 8 1 Sysmiss 219 6. Attended school in 2003 or 2004 Have you attended school at any time in 2003 or 2004? If answer is 2 > Go to 8 (y08 - variable name in dataset). 219 148 1 Yes 27 2 No 190 8 2 Sysmiss 148 7. Terms of school missed in 2003 & 2004 How many terms of school have you missed in 2003 and 2004? If answer is 1 > Go to 9 (y09 - variable name in dataset). 177 190 0 1 1 Less than one term 152 2 One term 16 3 Two terms 1 4 Three terms 7 Sysmiss 190 8. Reasons why missed school What was the main reason why you missed school? 214 153 1 Own illness 5 2 Caring for a sick family member 0 3 Working 3 4 Insufficient funds 105 5 Fostered out 0 6 School was closed 0 7 Completed all my schooling 47 8 Other (specify) 54 Sysmiss 153 9. Highest level of schooling completed What is the highest level of schooling you have completed? 367 0 1 Nursery 94 2 Primary 188 3 Secondary 74 4 Post-secondary 11 10. Highest level of schooling plan to complete What is the highest level of schooling you plan to complete? 367 0 1 Nursery 11 2 Primary 60 3 Secondary 94 4 Post-secondary 201 8 1 11. Currently married or living with partner Are you currently married or living with a partner? Go to 14 (y14 - variable name in dataset).]]> 367 0 1 Yes – legally married 7 2 Yes – living with partner 12 3 No – spouse died 2 4 No – separated 17 5 No – never married 329 12. Currently engaged to be married Are you currently engaged to be married? If answer is 1 > Go to 14 (y14 - variable name in dataset). 347 20 1 Yes 22 2 No 325 Sysmiss 20 13. Expect to get married in next 2 years Do you expect to get married in the next two years? 326 41 1 Yes 52 2 No 258 8 2 9 14 99 Don’t Know 0 Sysmiss 41 14. Person who looks health have HIV virus Now I would like to ask a few questions concerning your knowledge about major diseases in this area. Can a person who looks healthy have HIV, the virus that causes AIDS? 367 0 1 Yes 280 2 No 66 9 21 99 Don’t Know 0 15. Ways a person can protect grom getting HIV/AIDS In what ways can a person protect themselves from getting HIV/AIDS? List up to 4 ways that are mentioned by respondent. 367 0 1 Abstinence 233 2 Be faithful 25 3 Have fewer partners 14 4 Use condoms 78 5 Avoid injections with contaminated needles 13 6 Other (specify) 1 9 3 99 Don’t know 0 15. Ways a person can protect grom getting HIV/AIDS In what ways can a person protect themselves from getting HIV/AIDS? List up to 4 ways that are mentioned by respondent. 328 39 1 Abstinence 54 2 Be faithful 130 3 Have fewer partners 7 4 Use condoms 103 5 Avoid injections with contaminated needles 30 6 Other (specify) 4 99 Don’t know 0 Sysmiss 39 15. Ways a person can protect grom getting HIV/AIDS In what ways can a person protect themselves from getting HIV/AIDS? List up to 4 ways that are mentioned by respondent. 166 201 1 Abstinence 16 2 Be faithful 24 3 Have fewer partners 17 4 Use condoms 83 5 Avoid injections with contaminated needles 22 6 Other (specify) 4 99 Don’t know 0 Sysmiss 201 15. Ways a person can protect grom getting HIV/AIDS In what ways can a person protect themselves from getting HIV/AIDS? List up to 4 ways that are mentioned by respondent. 40 327 1 Abstinence 4 2 Be faithful 4 3 Have fewer partners 2 4 Use condoms 7 5 Avoid injections with contaminated needles 21 6 Other (specify) 2 99 Don’t know 0 Sysmiss 327 16. Know anyone who has died from AIDS Do you personally know anyone who has died from AIDS? Go to 18 (y18 - variable name in dataset).]]> 367 0 1 Yes 253 2 No 114 17. Relationship to this person What was your relation to this person? If there are multiple persons, ask about person who died more recently. 253 114 1 Household member 9 2 Relative in this Division 43 3 Relative elsewhere 16 4 Non-relative in this Division 158 5 Non-relative elsewhere 27 Sysmiss 114 18. Know anyone who received or receiveing treatment for AID Do you personally know anyone who received or is currently receiving treatment for AIDS? Go to 21 (y21- variable name in dataset).]]> 367 0 1 Yes 132 2 No 235 19. Relationship to this person What was/is your relation to this person? If there are multiple persons, ask about closest relation. 132 235 1 Household member 12 2 Relative in this Division 23 3 Relative elsewhere 3 4 Non-relative in this Division 91 5 Non-relative elsewhere 3 Sysmiss 235 20. What happened to person's health since receiving treatme What happened to this person’s health since receiving treatment? 132 235 1 Recovered/Improved 117 2 Remained sick 9 3 Got more sick 0 4 Too early to tell 3 5 Died 3 99 Don’t Know 0 Sysmiss 235 21. In Kosirai Division, treatment for HIV is easily availab In Kosirai Division, do you know whether treatment for HIV/AIDS is easily available, available but not for everyone who needs it, or not available at all? 367 0 1 Easily available 161 2 Available, but not for everyone who needs it 73 3 Not available at all 53 8 7 9 73 99 Don’t know 0 22. Ever been tested for HIV Have you ever been tested for HIV? If answer is 2 > Go to 28 (y28 - variable name in dataset). 367 0 1 Yes 88 2 No 279 23. Month when tested for HIV When did you get tested for HIV? Month. Record most recent testing date. 88 279 1 98 5.852 10.317 1 8 2 8 3 20 4 13 5 8 6 6 7 10 8 4 9 5 10 1 12 4 98 1 Sysmiss 279 23. Year when tested for HIV When did you get tested for HIV? Year. Record most recent testing date. 88 279 2000 3 2002 6 2003 25 2004 54 Sysmiss 279 24. Where got tested Where did you get tested for HIV? 88 279 1 Mosoriot Health Center 72 2 Turbo Health Center 0 3 Burnt Forest Health Center 0 4 Eldoret 4 5 Kapsabet 8 6 Kisumu 0 7 Other (specify) 4 99 Don’t know 0 Sysmiss 279 25. Result of HIV test What was the result of your HIV test? Emphasize confidentiality when asking this question. 88 279 1 HIV-Positive 27 2 HIV-Negative 58 3 Won’t say 0 4 Have not received results yet 3 Sysmiss 279 26. Who informed about the status Who have you informed about your status? List the 3 people that were informed first. 86 281 1 Partner 24 2 Father 15 3 Mother 14 4 Sister/brother 11 5 Other relative in household 1 6 Other relative elsewhere 0 7 Friend 12 8 Other (specify) 9 Sysmiss 281 26. Who informed about the status Who have you informed about your status? List the 3 people that were informed first. 58 309 1 Partner 3 2 Father 8 3 Mother 19 4 Sister/brother 16 5 Other relative in household 2 6 Other relative elsewhere 2 7 Friend 6 8 Other (specify) 2 Sysmiss 309 26. Who informed about the status Who have you informed about your status? List the 3 people that were informed first. 32 335 1 Partner 2 2 Father 0 3 Mother 7 4 Sister/brother 10 5 Other relative in household 1 6 Other relative elsewhere 2 7 Friend 7 8 Other (specify) 3 Sysmiss 335 27. Informed any other people about the status Have you informed any other people about your status? 87 280 1 Yes 21 2 No 65 8 1 Sysmiss 280 28. Nearest place someone can be tested for HIV What is the nearest place where someone can be tested for HIV? 367 0 1 Mosoriot Health Center 314 2 Turbo Health Center 0 3 Burnt Forest Health Center 0 4 Eldoret 7 5 Kapsabet 20 6 Kisumu 0 7 Other (specify) 3 8 5 9 18 99 Don’t know 0 29. Chances of geting HIV Do you think your chances of having HIV/AIDS are high, moderate, low, or do you think you are at no risk at all? 367 0 1 High 39 2 Moderate 22 3 Low 140 4 No risk at all 160 8 1 9 5 30. Percent chance that currently have HIV What do you think is the percent chance (0 to 100) that you currently have HIV/AIDS? 367 0 0 100 20.42 29.85 31A. Age when first had sexual intercourse How old were you when you first had sexual intercourse. Age in years. If answer is 99 (never)> Go to 36 (y36 - variable name in dataset). 367 0 99 Never 82 31B. Total numbers of sexual partner have had What is the total number of sexual partners that you have had? [Number of partners in lifetime] 285 82 1 98 13.618 29.727 32A. Been sexual active in past 6 months Have you been sexually active in the past 6 months? If answer is 2 > Go to 34 (y34 - variable name in dataset). 285 82 1 Yes 135 2 No 150 Sysmiss 82 32B. How many different sexual partners in past 6 months How many different sexual partners have you had in the past 6 months? [Number of partners in past 6 months] 135 232 1 98 2.126 8.381 33A. Last time had sex with main partner used condom During the last time you had sex with your spouse or main partner, did you use a condom? 135 232 1 Yes 74 2 No 60 3 N/A 1 Sysmiss 232 33B. Last time had sex in casual encounter used condom During the last time you had sex in a casual encounter, did you use a condom? 135 232 1 Yes 40 2 No 29 3 N/A 65 8 8 1 Sysmiss 232 34. How often use condoms when having sex How often do you use condoms when having sex? 285 82 1 Always 88 2 Almost Always 59 3 Very Seldom 58 4 Never 76 8 4 Sysmiss 82 35. Spouse/main partner has other sexual partners Do you think that your spouse or main partner has other sexual partners besides you? 285 82 1 Yes 63 2 No 170 3 N/A 40 8 4 9 8 Sysmiss 82 36. Have had any technical training Have you had any technical or professional training? 367 0 1 Technical 21 2 Professional 23 3 On-the-job 1 4 No 322 37. Plan to receive additional technical training Do you plan to receive any additional technical or professional training in the next 1 year? 367 0 1 Yes 138 2 No 228 8 1 38. Amount have spent on non-food items What is total amount you yourself have spent on non-food items (such as clothing, shoes, bicycles, watches, etc.) in the past 6 months? Amount in KSh 367 0 0 25000 2257.27 2593.972 39. Have received financial assistance from friends in past Have you received any financial assistance from friends and relatives in the past 6 months? If answer is 2 > Go to 41 (y41 - variable name in dataset). 367 0 1 Yes 192 2 No 175 40. Value of all the assistance have receieved in past 6 mon What is the value of all the assistance you have received in the past 6 months? 192 175 0 26000 1432.292 2456.996 41. Main non-schooling activity during the past 12 months During the past 12 months, what has been you main nonschooling activity? Go to 44 (y44 - variable name in dataset).]]> 367 0 1 Farming 182 2 Wage/Salaried Employment 77 3 Non-farm Self-Employment 40 4 Unemployed/did not work 68 42. During past month how much money earned for all the work During the past month, how much money did you yourself earn for all of the work you did? Amount in KSh. 299 68 0 20000 1063.813 2236.021 43. How amount compare to what usually earned every month in How does this amount compare to what you usually earned every month in the past year? 299 68 1 More 31 2 About the same 130 3 Less 136 8 2 Sysmiss 68 44. Expect to look for another job in next 6 montths Do you expect to look for another job in the next 6 months? 367 0 1 Yes 164 2 No 203