DDI_KEN_2005_GEHDS-W2_v01_EN_M_v01_A_OCS _FAO Office of Chief Statistician Akiko Sagesaka Olivier Dupriez <_value> NADA KEN_2005_GEHDS-W2_v01_EN_M_v01_A_OCS_v01 Greater Eldoret Health and Development Survey, Wave 2, 2005 GEHDS 2005 KEN_2005_GEHDS-W2_v01_EN_M_v01_A_OCS Markus Goldstein and Harsha Thirumurthy NADA Development Economics Data Group Other Household Survey [hh/oth] This is the second round of the Greater Eldoret Health and Development Survey. The first round was conducted in 2005, and the third one in 2006. The data collected in the second round of the survey (as well as future rounds) provide the longitudinal information necessary for examining changes in socio-economic status resulting from treatment. Subsequent analysis will therefore address the topic of treatment impacts more extensively. Future work will also examine other diseases in the survey area as well. Social Development Children & Youth Food (production, crisis) Agriculture & Rural Development Access to Finance Health Nutrition Population & Reproductive Health Labor Information from these households thus presents an opportunity to understand the health and socio-economic characteristics of the population served by the Mosoriot health centre. The Mosoriot Rural Health Training Centre is located approximately 25 kilometers south of Eldoret town and is the main health care provider in Kosirai Division. The health centre provides primary care services and is mainly an outpatient facility. In addition, a collaboration between Indiana University and the Moi University Faculty of Health Sciences has established an electronic medical record system (MMRS) at Mosoriot which contains a range of clinical information on all patients who visit the health centre (Hannan, et al. 2000). In 2001, this same collaboration also created the Academic Model for the Prevention and Treatment of HIV/AIDS (AMPATH). AMPATH's first rural HIV clinic was opened in Mosoriot in November 2001 (Cohen, 2004). Beginning in late-2003, the HIV clinic at Mosoriot has experienced tremendous growth, with the number of patients rising from less than 100 in 2003 to over 800 as of October 2004 (AMPATH data). Kenya Regional Households Sample survey data [ssd] The scope of the Greater Eldoret Health and Development Survey includes: (a) HOUSEHOLD: Current household members children residing elsewhere Permanent individual roster Education Education expenditures Health and health services use Food consumption and expenditures Other household expenses Assets Income and activities Agricultural activities Enterprises Unexpected events Transfers and credit Time allocation Knowledge and behaviour Anthropometrics Polygamous household identification (b) YOUTH: Background characteristics Education Marriage Knowledge of HIV/AIDS HIV testing Sexual behaviour Job training Income and expenditures (a) SURVEY AREA The household survey was conducted in Kosirai Division, a rural area located in the Nandi North District of western Kenya. Kosirai division has an area of 195 square kilometers (76 square miles) and a population of 35,383 individuals and 6,643 households (Central Bureau of Statistics, 1999). The survey households are scattered across more than 100 villages where animal and crop farming are the primary economic activity. The survey's random sample of 512 households (described below) is intended to be representative of households in Kosirai Division. Information from these households thus presents an opportunity to understand the health and socio-economic characteristics of the population served by the Mosoriot health centre. (b) SAMPLE SELECTION A range of factors were considered when designing the sample of households in the survey. A random sample of households in Kosirai Division was created to provide representative information on the disease burden and socio-economic issues in the survey area. To further examine specific issues relating to HIV/AIDS (such as impacts of the disease and treatment), a separate sample of HIV-positive patients in AMPATH's HIV clinic was chosen. Finally, a small sample of VCT clients (who tested HIV-positive or HIV-negative) was chosen to examine issues relating to HIV testing. It should be noted that the random sample also serves as a comparison group to the HIV and VCT samples. The sample of survey households is thus comprised of three different groups: (i) 512 households chosen randomly from a household census of Kosirai Division (the random sample) (ii) 250 households with at least one HIV-positive individual who receives medical care at the HIV clinic in the Mosoriot health centre (the HIV sample, or "HIV households") (iii) 61 households with an individual who has recently visited the VCT clinic in MRHTC (the VCT sample) Of the 250 households in the HIV sample, 167 are households in which the HIV-positive individual is receiving antiretroviral (ARV) treatment at the Mosoriot HIV clinic. In the random sample, the HIV status of respondents is usually unknown, unless the respondent reported having gone for an HIV test and testing HIV-positive or negative. Finally, in the VCT sample, most respondents have tested HIV-negative. Mosoriot Rural Health Training Centre. The health centre is located approximately 25 kilometers south of Eldoret town and is the main health care provider in Kosirai Division. The health centre provides primary care services and is mainly an outpatient facility. In addition, a collaboration between Indiana University and the Moi University Faculty of Health Sciences has established an electronic medical record system (MMRS) at Mosoriot which contains a range of clinical information on all patients who visit the health centre (Hannan, et al. 2000). In 2001, this same collaboration also created the Academic Model for the Prevention and Treatment of HIV/AIDS (AMPATH). AMPATH's first rural HIV clinic was opened in Mosoriot in November 2001 (Cohen, 2004). Beginning in late-2003, the HIV clinic at Mosoriot has experienced tremendous growth, with the number of patients rising from less than 100 in 2003 to over 800 as of October 2004 (AMPATH data). Face-to-face [f2f] https://microdata.worldbank.org/index.php/terms-of-use Markus Goldstein and Harsha Thirumurthy. Greater Eldoret Health and Development Survey (GEHDS) Round 2, 2005. Ref. KEN_2005_GEHDS_v01_M_v01_A_RUF. Dataset downloaded from http://microdata.worldbank.org on [date]. https://microdata.worldbank.org/index.php/terms-of-use The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses ag_a The file contains data related to section A of "Agricultural activities" (Crop outputs since beginning of this year). 5590 22 ag_b The file contains data related to section B of Agricultural activities" (Sales of major crops). 2910 38 ag_c The file contains data related to section C of "Agricultural activities" (Farm inputs). 10185 10 ag_d The file contains data related to section D of "Agricultural activities" (Other agricultural information). 1719 17 anthrop_a The file contains data related to section A of "Anthropometrics" (Child height and weight). 663 21 anthrop_b The file contains data related to section B of "Anthropometrics" (Child vaccinations). 719 51 anthrop_c The file contains data related to section C of "Anthropometrics" (Growth history). 954 14 assets The file contains data related to "Assets" (Land, Livestock, Large farm equipment, Durable goods, and Vehicles), except for questions 8-11 and 17-24 in part I, questions 5-9 and 11-14 in part II, questions 7-11 and 13-16 in part IV, questions 6-10 and 12-15 in part VI. 1139 26 assets_I8 The file contains data related to questions 8-11 in part I of "Assets" (Land sales). 52 21 assets_I17 The file contains data related to questions 17-24 in part I of "Assets" (Land purchases/acquisitions). 82 27 assets_II5 The file contains data related to questions 5-9 in part II of "Assets" (Livestock sales and gifts). 530 25 assets_II11 The file contains data related to questions 11-14 in part II of "Assets" (Livestock pruchases/acquisitions). 690 24 assets_IV7 The file contains data related to questions 7-11 in part IV of "Assets" (Large equipment sales and gifts). 4 24 assets_IV13 The file contains data related to questions 13-16 in part IV of "Assets" (Large equipment purchases/acquisitions). 14 24 assets_V The file contains data related to part V of "Assets" (Durable goods). 11390 13 assets_VI5 The file contains data related to questions 6-10 in part VI of "Assets" (Vehicle sale and gifts). 30 24 assets_VI12 The file contains data related to questions 12-15 in part VI of "Assets" (Vehicle purchases/acuisitions). 78 24 behavior The file contains data related to "Knowledge and behavior" (Knowledge, Behavior, Sexual history & behavior, and Attitudes regarding HIV/AIDS), except for questions 4-12 in section C. 1559 57 behavior_c4 The file contains data related to questions 4-12 in section C of "Knowledge and behavior" (Sexual history & behavior). 1011 21 education The file contains data related to "Education" (Education of NEW household members, and Schooling since Round 1). 2744 32 educexp The file contains data related to "Education expenditures" (Expenses of household head and spouse, Scholarships & in-kind support from organizations, Support from household members other than HH head or spouse, and Support from person outside the household). 3127 45 famback The file contains data related to "Family background" (Personal and family characteristics, Parental characteristics, Fosterage, Land inheritances, received or anticipated, and Other inheritances, received or anticipated), except for questions 1-8 and 10-14 in part II, questions 2-7 in part III, questions 2-6 in part IV, and questions 2-7 in part V. 1606 33 famback_II The file contains data related to questions 1-8 and 10-14 in part II of "Family background" (Parental characteristics). 3212 29 famback_III The file contains data related to questions 2-7 in part III of "Family background" (Fosterage). 448 18 famback_IV The file contains data related to questions 2-6 in part IV of "Family background" (Land inheritances, received or anticipated). 822 16 famback_V The file contains data related to questions 2-7 in part V of "Family background" (Other inheritances, received or anticipated). 571 16 food The file contains data related to "Food consumption and expenditures". 56007 24 health The file contains data related to "Health and health services use" (Most recent illness, Chronic conditions, and Health records data), except for section C. 6457 108 health_c The file contains data related to section C of "Health and health services use"(Health History), except for questions 2-8 in part I, 2-8 in part II, 2-8 in part III, and 2-8 in part IV. 1144 15 health_c_I The file contains data related to questions 2 - 8 in part I of section C of "Health and health services use" (Health History - I. Malaria). 1654 21 health_c_II The file contains data related to questions 2 - 8 in part II of section C of "Health and health services use" (Health History - II. Tuberculosis). 22880 20 health_c_III The file contains data related to questions 2 - 8 in part III of section C of "Health and health services use" (Health History - III. Typhoid). 161 20 health_c_IV The file contains data related to questions 2 - 8 in part IV of section C of "Health and health services use" (Health History - IV. Meningitis). 6 20 hhr_correction 357 19 hhroster_1 364 19 hhroster_2 375 20 housing The file contains data related to "Housing characteristics" (Type and ownership of structures/dwellings, and Other housing characteristics), except for questions 2-13 in part I. 1142 16 housing_2 The file contains data related to questions 2-13 in part I of "Housing characteristics" (Type and ownership of structures/dwellings). 3404 25 identification The file contains data related to cover sheet of the household survey. 1712 27 income The file contains data related to "Income and activities" (Genral 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 6 months, Secondary job in the past 6 months, and Non-labor income). 5250 114 iroster The file contains data related to "Permanent individual roster". 9050 20 marriage The file contains data related to section A of "Marriage" (Biological parents' marital history). 1606 17 marriage_b The file contains data related to section B of "Marriage" (Current marriages). 1116 40 marriage_c The file contains data related to section C of "Marriage" (Previous marriages). 390 27 mortality The file contains data related to section A of "Mortality" (Mortality of previous household members). 283 80 mortality_b The file contains data related to section B of "Mortality" (Mortality of children living away). 29 46 networks The file contains data related to section A, B and C of "Network" (General health discussions, Discussions about Malaria, and Discussions about HIV/AIDS), except for questions 1-9 in section A, questions 1-10 in section B, and questions 1-10 in section C. 1561 17 networks_a The file contains data related to questions 1-9 in section A of "Network" (General health discussions). 2535 23 networks_b The file contains data related to questions 1-10 in section B of "Network" (Discussions about Malaria). 2418 29 networks_c The file contains data related to questions 1-8 in section C of "Network" (Discussions about HIV/AIDS). 3927 20 networks_c9 The file contains data related to questions 9 in section C of "Network" (Discussions about HIV/AIDS). 10927 10 networks_c10 The file contains data related to questions 10 in section C of "Network" (Discussions about HIV/AIDS). 7805 10 networks_d The file contains data related to section D of "Network" (Interactions in the past 10 years). 11046 14 networks_e The file contains data related to section E of "Network" (Within network connections). 31220 28 othexp The file contains data related to "Other household expenses". 45211 12 shocks 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, 19-21, 24-25 in section A, questions 30-31, 33-34, 40-42 in section B, and. questions 45-47, 49-50 and 53-55 in section C. 1145 36 shocks_a3 The file contains data related to questions 3-5 in section A of "Unexpected events"(Farm events). 593 18 shocks_a7 The file contains data related to questions 7-9 in section A of "Unexpected events" (Farm events). 189 16 shocks_a11 The file contains data related to questions 11-13 in section A of "Unexpected events" (Farm events). 38 15 shocks_a15 The file contains data related to questions 15-17 in section A of "Unexpected events" (Farm events). 7 16 shocks_a19 The file contains data related to questions 19-21 in section A of "Unexpected events"(Farm events). 40 16 shocks_a24 The file contains data related to questions 24-25 in section A of "Unexpected events"(Farm events). 444 14 shocks_b30 The file contains data related to questions 30-31 in section B of "Unexpected events" (Home events). 107 14 shocks_b33 The file contains data related to questions 33-34 in section B of "Unexpected events" (Home events). 9 14 shocks_b40 The file contains data related to questions 40-42 in section B of "Unexpected events" (Home events). 141 16 shocks_c45 The file contains data related to questions 45-47 in section C of "Unexpected events" of the household survey questionnaire (Employment events). 84 16 shocks_c49 The file contains data related to questions 49-50 in section C of "Unexpected events" (Employment events). 43 14 shocks_c53 The file contains data related to questions 53-55 in section C of "Unexpected events" (Employment events). 316 16 timerisk The file contains data related to "Time and risk preferences". 1530 42 transfers 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 2-8 and 10-12 in section A, questions 2-8 in section B, questions 2-5, 7-12, 14-17 and 19-24 in section D. 1561 60 transfers_a2 The file contains data related to questions 2-8 in section A of "Transfers and credit" (Transfers and credit received). 2434 20 transfers_a10 The file contains data related to questions 10-12 in section A of "Transfers and credit" (Transfers and credit received). 226 15 transfers_b2 The file contains data related to questions 2-8 in section B of "Transfers and credit" (Transfers and credit sent). 1525 20 transfers_d2 The file contains data related to questions 2-5 in section D of "Transfers and credit" (Within household transfers). 643 19 transfers_d7 The file contains data related to questions 14-17 in section D of "Transfers and credit" (Within household transfers). 863 21 transfers_d14 The file contains data related to questions 14-17 in section D of "Transfers and credit" (Within household transfers). 639 19 transfers_d19 The file contains data related to questions 19-24 in section D of "Transfers and credit" (Within household transfers). 823 21 youth The file contains data related to "Youth". 393 65 Household ID Household ID Household ID Household ID Household ID Household ID Number 1712 Household identification Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Number 1712 Household identification Round Round Round Round Round 1712 2 District District District District District District 1696 16 1 Nandi 2 Uasin Gishu Household identification District (other) District (other) District (other) District (other) District (other) District. Other. 270 1442 Division Division Division Division Division Division 1712 Household identification Location Location Location Location Location Location 1710 2 Household identification Sublocation Sublocation Sublocation Sublocation Sublocation Sublocation 1708 4 Household identification Village Village Village Village Village Village 1709 3 Household identification Respondent Name Respondent Name Respondent Name Respondent Name Respondent Name Respondent Name Household identification Household moved Household moved Household moved Household moved Household moved Has household moved? 1704 8 1 Yes 2 No 8 Sysmiss Length of interview - Hours Length of interview - Hours Length of interview - Hours Length of interview - Hours Length of interview - Hours Interview Length. Hours. 1703 9 98 13.241 30.404 Length of interview -Minutes Length of interview -Minutes Length of interview -Minutes Length of interview -Minutes Length of interview -Minutes Interview Length. Minutes. 1703 9 98 33.287 28.426 Latitude(1) Latitude(1) Latitude(1) Latitude(1) Latitude(1) Complete if missing from first round. Latitude. 1712 88 Interview completed at clinic Geographical coordinates of household Latitude(2) Latitude(2) Latitude(2) Latitude(2) Latitude(2) Complete if missing from first round. Latitude. 1712 88 Interview completed at clinic Geographical coordinates of household Latitude(3) Latitude(3) Latitude(3) Latitude(3) Latitude(3) Complete if missing from first round. Latitude. 1712 88 Interview completed at clinic Geographical coordinates of household Longitude(1) Longitude(1) Longitude(1) Longitude(1) Longitude(1) Complete if missing from first round. Longitude. 1712 88 Interview completed at clinic Geographical coordinates of household Longitude(2) Longitude(2) Longitude(2) Longitude(2) Longitude(2) Complete if missing from first round. Longitude. 1712 88 Interview completed at clinic Geographical coordinates of household Longitude(3) Longitude(3) Longitude(3) Longitude(3) Longitude(3) Complete if missing from first round. Longitude. 1712 88 Interview completed at clinic Geographical coordinates of household Day of interview Day of interview Day of interview Day of interview Day of interview Date (DD/MM/YYYY). Day. 1712 Interviewer visits Month of interview Month of interview Month of interview Month of interview Month of interview Date (DD/MM/YYYY). Month. 1712 Interviewer visits Year of interview Year of interview Year of interview Year of interview Year of interview Date (DD/MM/YYYY). Year. 1712 Interviewer visits Interviewer number Interviewer number Interviewer number Interviewer number Interviewer number Interviewer's Code 1712 Interviewer visits Household result Household result Household result Household result Household result Result Code 1712 1 Completed 2 Designated Respondent not Present 3 No Household Member/Competent Respondent at Home 4 Entire Household Absent for Extended Period of Time 5 Postponed 6 Refused 7 Dwelling Vacant 8 Dwelling Not Found 9 Other (specify) Interviewer visits Main language of intwerview Main language of intwerview Main language of intwerview Main language of intwerview Main language of intwerview Main Language of Interview 1616 96 1 Kiswahili 2 Nandi 3 English 4 Other (specify) 8 Sysmiss Interviewer visits Supervisor Supervisor Supervisor Supervisor Supervisor Supervisor Code 1706 6 Data entry clerk Data entry clerk Data entry clerk Data entry clerk Data entry clerk Data Entry Code 1712 Household ID Household ID Household ID Household ID Household ID 9050 103 99999 49852.532 28942.66 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 9050 1 2 3 4 5 6 7 8 9 Individual roster done Individual roster done Individual roster done Individual roster done Individual roster done 9050 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 9050 Respondent name Respondent name Respondent name Respondent name Respondent name Respondent Name IRID members IRID members IRID members IRID members IRID members 9050 1 27 6.666 2.351 Line number Line number Line number Line number Line number 35 9015 IRID code IRID code IRID code IRID code IRID code IRID Code 9050 Name of individual Name of individual Name of individual Name of individual Name of individual Name of Individual Gender Gender Gender Gender Gender Gender 9049 1 1 Male 2 Female Sysmiss Occupation Occupation Occupation Occupation Occupation What is this person’s occupation? 9049 1 1 99 7.229 16.428 1 Crop farmer 2 Animal farmer 3 Housewife 4 Trader/merchant/salesperson 5 Transport worker 6 Construction worker 7 Teacher/education professional 8 Health professional/TBA/trad. Healer 9 Secretary/clerical 10 Factory worker 11 Restaurant/bar/hotel 12 Skilled trades (carpenter, tailor, etc.) 13 Preacher/pastor 14 Village elder 15 Domestic worker 16 Civil Servant/Government 17 Other (specify) 88 No activity/unemployed 99 Don’t Know Occupation (Other) Occupation (Other) Occupation (Other) Occupation (Other) Occupation (Other) What is this person's occupation? Other (specify). 143 How related to you How related to you How related to you How related to you How related to you How is this person related to you? 9049 How related to you (recoded) How related to you (recoded) How related to you (recoded) How related to you (recoded) How related to you (recoded) How is this person related to you? 9049 1 1 1701 125.944 309.878 1 Self 2 Spouse 3 Son 4 Daughter 5 Father 6 Mother 7 Grandson 8 Granddaughter 9 Grandfather 10 Grandmother 11 Brother 12 Sister 13 Uncle 14 Aunt 15 Co-wife 16 Cousin 17 Niece 18 Nephew 19 Stepchild 20 Foster child 30 Local Friend/Neighbor 31 Non-resident Friend 32 Village head 33 Lineage head 34 Househelper 35 Employee 36 Employer 37 Landlord 38 Tenant/Renter 39 Priest 40 Trader 41 Other (specify) 99 Don’t Know 301 Son-in-law 401 Daughter-in-law 501 Father-in-law 601 Mother-in-law 901 Grandfather-in-law 1001 Grandmother-in-law 1101 Brother-in-law 1201 Sister-in-law 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 related to you (Other) How related to you (Other) How related to you (Other) How related to you (Other) How related to you (Other) How is this person related to you? Other (specify). 428 How long known person How long known person How long known person How long known person How long known person How long have you known this person? [Number of years] 9049 1 99 20.943 15.833 How met this person How met this person How met this person How met this person How met this person How did you first meet this person? 9049 1 1 98 2.529 2.508 1 through spouse/spouse’s family 2 through family 3 through friend 4 through work 5 through church 6 through school 7 through bar/nightclub 8 through health facility 9 through group/organization (specify) 10 other (specify) How met this person (Other) How met this person (Other) How met this person (Other) How met this person (Other) How met this person (Other) How did you first meet this person? Other (specify). 11 How often talk to this person How often talk to this person How often talk to this person How often talk to this person How often talk to this person How often do you talk to this person? 9049 1 1 98 2.989 3.313 1 daily 2 twice a week 3 once a week 4 every two weeks 5 once a month 6 every three months 7 every six months 8 once a year 9 less than once a year 10 dead Where this person lives Where this person lives Where this person lives Where this person lives Where this person lives Where does this person live? 9049 1 1 99 2.578 5.427 1 This village 2 This location 3 Kosirai Division 4 Nandi District (inc. Kapsabet) 5 Uasin-Gishu District (exc. Eldoret) 6 Eldoret 7 Kakamega 8 Kitale 9 Kisumu 10 Nakuru 11 Nairobi 12 Other urban area 13 Other rural area 14 Outside Kenya Module done Module done Module done Module done Module done 357 1 Yes 2 No Household ID Household ID Household ID Household ID Household ID Household ID 357 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 Respondent ID Respondent ID Respondent ID Respondent ID ID Code of Respondent 357 Members count Members count Members count Members count Members count 357 1 5 1.868 0.916 Line number Line number Line number Line number Line number 2 355 ID Code ID Code ID Code ID Code ID Code ID Code 357 2. Name 2. Name 2. Name 2. Name 2. Name NAME 3. Sex 3. Sex 3. Sex 3. Sex 3. Sex Sex of [NAME] 83 274 1 Male 2 Female Sysmiss 4. Relationship 4. Relationship 4. Relationship 4. Relationship 4. Relationship Relationship of [NAME] to Head. 45 312 1 Self 2 Spouse 3 Son 4 Daughter 5 Father 6 Mother 7 Grandson 8 Granddaughter 9 Grandfather 10 Grandmother 11 Brother 12 Sister 13 Uncle 14 Aunt 15 Co-wife 16 Cousin 17 Niece 18 Nephew 19 Stepchild 20 Foster child 30 Local Friend/Neighbor 31 Non-resident Friend 32 Village head 33 Lineage head 34 Househelper 35 Employee 36 Employer 37 Landlord 38 Tenant/Renter 39 Priest 40 Trader 41 Other (specify) 99 Don’t Know 103 Son in law 104 Daughter in law 105 Father in law 106 Mother in law 110 Grandmother in law 111 Brother in law 112 Sister in law Relationship - Other Relationship - Other Relationship - Other Relationship - Other Relationship - Other Relationship of [NAME] to Head. Other (specify). 2 5A. Month of birth 5A. Month of birth 5A. Month of birth 5A. Month of birth 5A. Month of birth Date of Birth. Month. 357 5B. Year of birth 5B. Year of birth 5B. Year of birth 5B. Year of birth 5B. Year of birth Date of Birth. Year. 357 6A. Age - Years 6A. Age - Years 6A. Age - Years 6A. Age - Years 6A. Age - Years Current Age. Years. 44 313 97 34.386 23.377 6B. Age - Months 6B. Age - Months 6B. Age - Months 6B. Age - Months 6B. Age - Months Current Age. Months (if age less than 5 yrs.) 5 352 6 8 6.8 0.837 7. Marital status 7. Marital status 7. Marital status 7. Marital status 7. 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). 136 221 1 Married 2 Cohabitating 3 Divorced 4 Separated 5 Widowed 6 Never married Sysmiss 8. Partner lives in household 8. Partner lives in household 8. Partner lives in household 8. Partner lives in household 8. Partner lives in household Partner of [NAME] lives in household? If answer is 2 > Go to 10 (qh10 - variable name in dataset). 1 356 1 Yes 2 No Sysmiss 9. Code of partner 9. Code of partner 9. Code of partner 9. Code of partner 9. Code of partner ID Code of partner 1 356 11. ID of father 11. ID of father 11. ID of father 11. ID of father 11. ID of father ID Code of biological father 116 241 12. Id of mother 12. Id of mother 12. Id of mother 12. Id of mother 12. Id of mother ID Code of biological mother 75 282 Household ID Household ID Household ID Household ID Household ID Household ID 364 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 Respondent ID Respondent ID Respondent ID Respondent ID ID Code of Respondent 364 Line number Line number Line number Line number Line number 4 360 ID code ID code ID code ID code ID code ID Code 364 Name of household member Name of household member Name of household member Name of household member Name of household member NAME of individual Sex Sex Sex Sex Sex Sex of [NAME] 364 1 Male 2 Female Relationship to household head Relationship to household head Relationship to household head Relationship to household head Relationship to household head Relationship of [NAME] to Head 363 1 1 Self 2 Spouse 3 Son 4 Daughter 5 Father 6 Mother 7 Grandson 8 Granddaughter 9 Grandfather 10 Grandmother 11 Brother 12 Sister 13 Uncle 14 Aunt 15 Co-wife 16 Cousin 17 Niece 18 Nephew 19 Stepchild 20 Foster child 30 Local Friend/Neighbor 31 Non-resident Friend 32 Village head 33 Lineage head 34 Househelper 35 Employee 36 Employer 37 Landlord 38 Tenant/Renter 39 Priest 40 Trader 41 Other (specify) 99 Don’t Know 103 Son in law 104 Daughter in law 105 Father in law 106 Mother in law 110 Grandmother in law 111 Brother in law 112 Sister in law RELATIONSHIP CODES (for in-laws, add “A” -- e.g. son in-law is 3A) Relationship to household head (recoded) Relationship to household head (recoded) Relationship to household head (recoded) Relationship to household head (recoded) Relationship to household head (recoded) Relationship of [NAME] to Head 363 1 1 1201 57.38 192.612 1 Self 2 Spouse 3 Son 4 Daughter 5 Father 6 Mother 7 Grandson 8 Granddaughter 9 Grandfather 10 Grandmother 11 Brother 12 Sister 13 Uncle 14 Aunt 15 Co-wife 16 Cousin 17 Niece 18 Nephew 19 Stepchild 20 Foster child 30 Local Friend/Neighbor 31 Non-resident Friend 32 Village head 33 Lineage head 34 Househelper 35 Employee 36 Employer 37 Landlord 38 Tenant/Renter 39 Priest 40 Trader 41 Other (specify) 99 Don’t Know 301 Son-in-law 401 Daughter-in-law 501 Father-in-law 601 Mother-in-law 901 Grandfather-in-law 1001 Grandmother-in-law 1101 Brother-in-law 1201 Sister-in-law 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. Relationship (Other) Relationship (Other) Relationship (Other) Relationship (Other) Relationship (Other) Relationship of [NAME] to Head. Other (specify). 16 Month of birth Month of birth Month of birth Month of birth Month of birth Date of Birth. Month. 364 Sysmiss Year of birth Year of birth Year of birth Year of birth Year of birth Date of Birth. Year. 364 Sysmiss Age - Years Age - Years Age - Years Age - Years Age - Years Current Age. Years. 362 2 88 14.738 16.51 Age - Months Age - Months Age - Months Age - Months Age - Months Current Age. Months. 116 248 99 9.138 22.786 Marital status Marital status Marital status Marital status 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). 188 176 1 Married 2 Cohabitating 3 Divorced 4 Separated 5 Widowed 6 Never married 8 Sysmiss Partner lives in household Partner lives in household Partner lives in household Partner lives in household Partner lives in household Partner of [NAME] lives in household? If answer is 2 > Go to 10 (qh10 - variable name in dataset). 40 324 1 Yes 2 No 8 Sysmiss Code of partner Code of partner Code of partner Code of partner Code of partner ID Code of partner 30 334 Months away in past 6 months Months away in past 6 months Months away in past 6 months Months away in past 6 months Months away in past 6 months How many months was NAME away in last 6 months? 354 10 8 2.288 2.074 Code of father Code of father Code of father Code of father Code of father ID Code of biological father 363 1 88 Not resident 98 Deceased Code of mother Code of mother Code of mother Code of mother Code of mother ID Code of biological mother 363 1 88 Not resident 98 Deceased Household ID Household ID Household ID Household ID Household ID Household ID 375 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 Respondent ID Respondent ID Respondent ID Respondent ID ID Code of Respondent 375 HH members listed in R1 moved away HH members listed in R1 moved away HH members listed in R1 moved away HH members listed in R1 moved away HH members listed in R1 moved away 375 1 Yes 2 No 8 Missing HH members listed in R1 no longer alive HH members listed in R1 no longer alive HH members listed in R1 no longer alive HH members listed in R1 no longer alive HH members listed in R1 no longer alive 375 1 Yes 2 No 8 Missing Members moved away or deceased Members moved away or deceased Members moved away or deceased Members moved away or deceased Members moved away or deceased 375 1 2 3 4 6 7 Line number Line number Line number Line number Line number 2 373 ID code ID code ID code ID code ID code ID Code 375 Name Name Name Name Name NAME Why no longer a member Why no longer a member Why no longer a member Why no longer a member Why no longer a member Why is [NAME] no longer a member of this household? If asnwer is 2 > Go to 8 (hh8 - variable name in dataset). 375 1 Dead 2 Moved away Month member died Month member died Month member died Month member died Month member died 32 343 Cause of death Cause of death Cause of death Cause of death Cause of death What was the cause of [NAME's] death? If answer is 2, 3, 4, 5, 6, or 7 > Go to next ID. 33 342 1 Illness 2 Traffic accident 3 Childbirth or complications 4 Homicide 5 Suicide 6 Other accident or injury 7 Other (specify) 8 Sysmiss Cause of death (Other) Cause of death (Other) Cause of death (Other) Cause of death (Other) Cause of death (Other) What was the cause of [NAME's] death? Other (specify). 3 Illness that was suffering from Illness that was suffering from Illness that was suffering from Illness that was suffering from Illness that was suffering from What was the illness that [NAME] was suffering from? Go to next ID. 29 346 1 99 18.345 29.722 1 HIV/AIDS 2 Asthma 3 Bilharzia/ Shistosomiasis 4 Cancer 5 Diarrhea 6 Dysentry 7 Fracture/break 8 Gnorrhea 9 Intestinal Parisites 10 Malaria 11 Malnutrition (Kwashiorkor/Marasmus) 12 Measles 13 Meningitis 14 Poisoning 15 Polio 16 Syphilis 17 Tetanus 18 Tuberculosis 19 Typhoid 20 Urinary Infection 21 Witchcraft 22 Other STD (specify) 23 Other illness (specify) 24 Other injury (specify) 98 Refuse to say 99 Don’t know Illness that was suffering Illness that was suffering Illness that was suffering Illness that was suffering Illness that was suffering What was the illness that [NAME] was suffering from? Other (specify). 8 Currently in school Currently in school Currently in school Currently in school Currently in school Is [NAME] currently in school? 346 29 1 Yes 2 No 8 Sysmiss Where living Where living Where living Where living Where living Where is [NAME] living? 345 30 1 99 5.157 10.628 1 This village 2 This location 3 Kosirai Division 4 Nandi District (inc. Kapsabet) 5 Uasin-Gishu District (exc. Eldoret) 6 Eldoret 7 Kakamega 8 Kitale 9 Kisumu 10 Nakuru 11 Nairobi 12 Other urban area 13 Other rural area 14 Outside Kenya Current employment status Current employment status Current employment status Current employment status Current employment status What is [NAME's] current employment status? 348 27 Not working 1 Houseboy/girl 2 Working for governmen 3 Working for private firm /small business 4 Self employed in business 5 Farmer 7 Other (specify) 8 9 Sysmiss Current employment (Other) Current employment (Other) Current employment (Other) Current employment (Other) Current employment (Other) What is [NAME's] current employment status? Other (specify). 5 Why living elsewhere Why living elsewhere Why living elsewhere Why living elsewhere Why living elsewhere Why is [NAME] living elsewhere? 350 25 1 98 8.2 14.027 1 Schooling 2 Married 3 For medical care 4 Others better able to care 5 Parents too sick to care 6 Living with parent with custody 7 Living with grandparents 8 Other (specify) 9 Working 98 Sysmiss Why living elsewhere (Other) Why living elsewhere (Other) Why living elsewhere (Other) Why living elsewhere (Other) Why living elsewhere (Other) Why is [NAME] living elsewhere? Other (specify). 118 Household ID Household ID Household ID Household ID Household ID 5590 103 99999 49900.129 29064.064 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 5590 1 2 3 4 5 7 8 10 Agriculture module Agriculture module Agriculture module Agriculture module Agriculture module 5590 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 5590 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 5590 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 5590 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 5590 Count of crop Count of crop Count of crop Count of crop Count of crop 5590 1 11 5.389 2.449 Line number Line number Line number Line number Line number 25 5565 Crop code Crop code Crop code Crop code Crop code Crop Codes. 5590 1 34 14.12 13.04 1 Maize 2 Wheat 3 Millet or sorghum 4 Rice 5 Beans, peas, cowpeas, other pulses 6 Cabbage 7 Sukuma wiki 8 Spinach 9 Yams or Sweet potatoes 10 Irish potatoes 11 Cassava 12 Groundnuts 13 Sunflower seeds 14 Tomatoes 15 Onions, leeks 16 Eggplant 17 Carrots 18 Capsicums/Green Peppers 19 Chillies 20 Coffee 21 Tea 22 Tobacco 23 Cotton 24 Lumber, wood 25 Oil palm/palm oil 26 Honey or Sugarcane 27 Avocado 28 Bananas 29 Mangoes 30 Oranges/Citrus fruits 31 Pineapple 32 Sugarcane 33 Other fruits (specify) 34 Other vegetables (specify) Crop (other) Crop (other) Crop (other) Crop (other) Crop (other) Crop Codes. Other (specify). 1475 Quantity of crop hh produced since beginning of the year (Qu Quantity of crop hh produced since beginning of the year (Qu Quantity of crop hh produced since beginning of the year (Qu Quantity of crop hh produced since beginning of the year (Qu Quantity of crop hh produced since beginning of the year (Qu How much quantity of [Crop] has your household produced (for sale and for home consumption) since the beginning of this year? Quantity. Do not include crop outputs from the long and short rains seasons of 2003. 5589 1 9999 55.578 341.459 Quantity of crop hh produced since beginning of the year (Cr Quantity of crop hh produced since beginning of the year (Cr Quantity of crop hh produced since beginning of the year (Cr Quantity of crop hh produced since beginning of the year (Cr Quantity of crop hh produced since beginning of the year (Cr How much quantity of [Crop] has your household produced (for sale and for home consumption) since the beginning of this year? Crop unit code. Do not include crop outputs from the long and short rains seasons of 2003. 4930 660 1 Kilograms 2 Goro goros (2 Kgs.) 3 Debbes 4 Litres 5 Bunches 6 Bags/Sacks 7 Pieces 8 Tins 9 Dozens 10 Crates 11 98 Sysmiss Quantity of crop hh sold since beginning of the year (Quanti Quantity of crop hh sold since beginning of the year (Quanti Quantity of crop hh sold since beginning of the year (Quanti Quantity of crop hh sold since beginning of the year (Quanti Quantity of crop hh sold since beginning of the year (Quanti How much quantity of [Crop] has your household sold since the beginning of this year? Quantity. Do not include sales of crops grown primarily during the long and short rains seasons of 2003. 5588 2 9999 28.256 334.187 Quantity of crop hh sold since beginning of the year (Crop u Quantity of crop hh sold since beginning of the year (Crop u Quantity of crop hh sold since beginning of the year (Crop u Quantity of crop hh sold since beginning of the year (Crop u Quantity of crop hh sold since beginning of the year (Crop u How much quantity of [Crop] has your household sold since the beginning of this year? Crop unit code. Do not include sales of crops grown primarily during the long and short rains seasons of 2003. 921 4669 1 Kilograms 2 Goro goros (2 Kgs.) 3 Debbes 4 Litres 5 Bunches 6 Bags/Sacks 7 Pieces 8 Tins 9 Dozens 10 Crates Income hh receive from selling the quantity of crop (Amount) Income hh receive from selling the quantity of crop (Amount) Income hh receive from selling the quantity of crop (Amount) Income hh receive from selling the quantity of crop (Amount) Income hh receive from selling the quantity of crop (Amount) How much income did your household receive from selling this quantity of [Crop]? Total amount. 5588 2 1152000 1944.157 23766.606 Income hh receive from selling the quantity of crop (Unit pr Income hh receive from selling the quantity of crop (Unit pr Income hh receive from selling the quantity of crop (Unit pr Income hh receive from selling the quantity of crop (Unit pr Income hh receive from selling the quantity of crop (Unit pr How much income did your household receive from selling this quantity of [Crop]? Unit price. 927 4663 1 6400 487.49 662.229 Income hh receive from selling the quantity of crop (Crop un Income hh receive from selling the quantity of crop (Crop un Income hh receive from selling the quantity of crop (Crop un Income hh receive from selling the quantity of crop (Crop un Income hh receive from selling the quantity of crop (Crop un How much income did your household receive from selling this quantity of [Crop]? Crop unit code. 928 4662 1 Kilograms 2 Goro goros (2 Kgs.) 3 Debbes 4 Litres 5 Bunches 6 Bags/Sacks 7 Pieces 8 Tins 9 Dozens 10 Crates Have any crop in storage Have any crop in storage Have any crop in storage Have any crop in storage Have any crop in storage Do you have any of the [Crop] in storage at the present? 5588 2 1 Yes 2 No 8 Sysmiss If were to sell the stored quantity, what is amount would ge If were to sell the stored quantity, what is amount would ge If were to sell the stored quantity, what is amount would ge If were to sell the stored quantity, what is amount would ge If were to sell the stored quantity, what is amount would ge If you were to sell this stored quantity now, what is the amount you could get? 1055 4535 960000 11285.759 42287.981 Quantity hh expect to produce this year Quantity hh expect to produce this year Quantity hh expect to produce this year Quantity hh expect to produce this year Quantity hh expect to produce this year How much quantity of [Crop] does your household expect to produce (for sale or home consumption) this year? Quantity. * Do not include quantity in Question 2 * Include only those crops that have already been planted. E.g., don't include 2nd planting of maize if the planting has not yet occurred. Also don't include vegetables that haven't yet been planted. 5589 1 99999 72.298 1873.724 Quantity hh expect to produce this year - Crop unit code) Quantity hh expect to produce this year - Crop unit code) Quantity hh expect to produce this year - Crop unit code) Quantity hh expect to produce this year - Crop unit code) Quantity hh expect to produce this year - Crop unit code) How much quantity of [Crop] does your household expect to produce (for sale or home consumption) this year? Crop unit code. * Do not include quantity in Question 2 * Include only those crops that have already been planted. E.g., don't include 2nd planting of maize if the planting has not yet occurred. Also don't include vegetables that haven't yet been planted. 3277 2313 1 Kilograms 2 Goro goros (2 Kgs.) 3 Debbes 4 Litres 5 Bunches 6 Bags/Sacks 7 Pieces 8 Tins 9 Dozens 10 Crates Household ID Household ID Household ID Household ID Household ID 2910 103 99999 49872.765 28990.153 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 2910 1 2 3 4 5 7 8 9 10 Agriculture module Agriculture module Agriculture module Agriculture module Agriculture module 2910 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 2910 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 2910 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 2910 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 2910 Major crop code Major crop code Major crop code Major crop code Major crop code Now I would like to ask you when you sold your main crops, and how much you received. Major Crop 2898 12 1 Maize 2 Wheat 3 Millet or sorghum 4 Rice 5 Beans, peas, cowpeas, other pulses 6 Cabbage 7 Sukuma wiki 8 Spinach 9 Yams or Sweet potatoes 10 Irish potatoes 11 Cassava 12 Groundnuts 13 Sunflower seeds 14 Tomatoes 15 Onions, leeks 16 Eggplant 17 Carrots 18 Capsicums/Green Peppers 19 Chillies 20 Coffee 21 Tea 22 Tobacco 23 Cotton 24 Lumber, wood 25 Oil palm/palm oil 26 Honey or Sugarcane 27 Avocado 28 Bananas 29 Mangoes 30 Oranges/Citrus fruits 31 Pineapple 32 Sugarcane 33 Other fruits (specify) 34 Other vegetables (specify) 98 Sysmiss Month of sale 1 Month of sale 1 Month of sale 1 Month of sale 1 Month of sale 1 Date of Sale. Month. Sale #1. 2898 12 Year of sale 1 Year of sale 1 Year of sale 1 Year of sale 1 Year of sale 1 Date of Sale. Year. Sale #1. 822 2088 Quantity sold 1 Quantity sold 1 Quantity sold 1 Quantity sold 1 Quantity sold 1 Quantity Sold. Quantity. Sale #1. 2898 12 1 999 87.171 88.167 Quantity sold (Unit code) 1 Quantity sold (Unit code) 1 Quantity sold (Unit code) 1 Quantity sold (Unit code) 1 Quantity sold (Unit code) 1 Quantity Sold. Crop unit code. Sale #1. 2705 205 1 Kilograms 2 Goro goros (2 Kgs.) 3 Debbes 4 Litres 5 Bunches 6 Bags/Sacks 7 Pieces 8 Tins 9 Dozens 10 Crates Sysmiss Amount received per unit 1 Amount received per unit 1 Amount received per unit 1 Amount received per unit 1 Amount received per unit 1 Amount received per unit. Sale #1. 2898 12 1 4000 228.068 406.525 Total received 1 Total received 1 Total received 1 Total received 1 Total received 1 Total received. Sale #1. 2898 12 20 880000 3176.605 24742.35 Month of sale 2 Month of sale 2 Month of sale 2 Month of sale 2 Month of sale 2 Date of Sale. Month. Sale #2. 103 2807 Year of sale 2 Year of sale 2 Year of sale 2 Year of sale 2 Year of sale 2 Date of Sale. Year. Sale #2. 103 2807 Quantity sold 2 Quantity sold 2 Quantity sold 2 Quantity sold 2 Quantity sold 2 Quantity Sold. Quantity. Sale #2. 103 2807 1 999 95.845 174.599 Quantity sold (Unit code) 2 Quantity sold (Unit code) 2 Quantity sold (Unit code) 2 Quantity sold (Unit code) 2 Quantity sold (Unit code) 2 Quantity Sold. Crop unit code. Sale #2. 103 2807 1 Kilograms 2 Goro goros (2 Kgs.) 3 Debbes 4 Litres 5 Bunches 6 Bags/Sacks 7 Pieces 8 Tins 9 Dozens 10 Crates Sysmiss Amount received per unit 2 Amount received per unit 2 Amount received per unit 2 Amount received per unit 2 Amount received per unit 2 Amount received per unit. Sale #2. 103 2807 2 2000 180.476 437.106 Total received 2 Total received 2 Total received 2 Total received 2 Total received 2 Total received. Sale #2. 103 2807 25 96000 3720.66 12708.913 Month of sale 3 Month of sale 3 Month of sale 3 Month of sale 3 Month of sale 3 Date of Sale. Month. Sale #3. 62 2848 Year of sale 3 Year of sale 3 Year of sale 3 Year of sale 3 Year of sale 3 Date of Sale. Year. Sale #3. 61 2849 Quantity sold 3 Quantity sold 3 Quantity sold 3 Quantity sold 3 Quantity sold 3 Quantity Sold. Quantity. Sale #3. 62 2848 1 999 143.597 224.241 Quantity sold (Unit code) 3 Quantity sold (Unit code) 3 Quantity sold (Unit code) 3 Quantity sold (Unit code) 3 Quantity sold (Unit code) 3 Quantity Sold. Crop unit code. Sale #3. 62 2848 1 Kilograms 2 Goro goros (2 Kgs.) 3 Debbes 4 Litres 5 Bunches 6 Bags/Sacks 7 Pieces 8 Tins 9 Dozens 10 Crates Sysmiss Amount received per unit 3 Amount received per unit 3 Amount received per unit 3 Amount received per unit 3 Amount received per unit 3 Amount received per unit. Sale #3. 62 2848 2 2000 59.145 260.201 Total received 3 Total received 3 Total received 3 Total received 3 Total received 3 Total received. Sale #3. 62 2848 50 84000 2790.161 10763.193 Month of sale 4 Month of sale 4 Month of sale 4 Month of sale 4 Month of sale 4 Date of Sale. Month. Sale #4. 42 2868 Year of sale 4 Year of sale 4 Year of sale 4 Year of sale 4 Year of sale 4 Date of Sale. Year. Sale #4. 42 2868 Quantity sold 4 Quantity sold 4 Quantity sold 4 Quantity sold 4 Quantity sold 4 Quantity Sold. Quantity. Sale #4. 42 2868 1 997 150.738 197.838 Quantity sold (Unit code) 4 Quantity sold (Unit code) 4 Quantity sold (Unit code) 4 Quantity sold (Unit code) 4 Quantity sold (Unit code) 4 Quantity Sold. Crop unit code. Sale #4. 42 2868 1 Kilograms 2 Goro goros (2 Kgs.) 3 Debbes 4 Litres 5 Bunches 6 Bags/Sacks 7 Pieces 8 Tins 9 Dozens 10 Crates Sysmiss Amount received per unit 4 Amount received per unit 4 Amount received per unit 4 Amount received per unit 4 Amount received per unit 4 Amount received per unit. Sale #4. 42 2868 5 500 21.429 75.668 Total received 4 Total received 4 Total received 4 Total received 4 Total received 4 Total received. Sale #4. 42 2868 50 108000 4225.69 16685.841 Month of sale 5 Month of sale 5 Month of sale 5 Month of sale 5 Month of sale 5 Date of Sale. Month. Sale #5. 1 2909 Year of sale 5 Year of sale 5 Year of sale 5 Year of sale 5 Year of sale 5 Date of Sale. Year. Sale #5. 1 2909 Quantity sold 5 Quantity sold 5 Quantity sold 5 Quantity sold 5 Quantity sold 5 Quantity Sold. Quantity. Sale #5. 1 2909 100 100 100 Quantity sold (Unit code) 5 Quantity sold (Unit code) 5 Quantity sold (Unit code) 5 Quantity sold (Unit code) 5 Quantity sold (Unit code) 5 Quantity Sold. Crop unit code. Sale #5. 1 2909 1 Kilograms 2 Goro goros (2 Kgs.) 3 Debbes 4 Litres 5 Bunches 6 Bags/Sacks 7 Pieces 8 Tins 9 Dozens 10 Crates Sysmiss Amount received per unit 5 Amount received per unit 5 Amount received per unit 5 Amount received per unit 5 Amount received per unit 5 Amount received per unit. Sale #5. 1 2909 10 10 10 Total received 5 Total received 5 Total received 5 Total received 5 Total received 5 Total received. Sale #5. 1 2909 1000 1000 1000 Household ID Household ID Household ID Household ID Household ID 10185 103 99999 49872.765 28986.595 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 10185 1 2 3 4 5 7 8 9 10 Agriculture module Agriculture module Agriculture module Agriculture module Agriculture module 10185 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 10185 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 10185 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 10185 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 10185 Input number Input number Input number Input number Input number Input Number 10185 1 Hired labor 2 Seeds 3 Manure 4 Fertilizer 5 Pesticides/Herbicides 6 Transportation 7 Expenses associated with crop production Input number is created from an item list in the questionnaire. Have used Have used Have used Have used Have used I would like to ask you about different farm inputs you have used since [round 1]. In the past […] months, have you … 1. Used any hired labor on your shambas/gardens? 2. Bought any seeds? 3. Bought any manure for your shambas? 4. Bought fertilizer on your shambas? (for planting, and also top-dressing) 5. Bought pesticides/herbicides for your shambas? 6. Had expenses for transporting the crops? 7. Had any other expenses associated with crop production, such as the purchase of sacks, containers, storage, irrigation, renting of animal traction, renting of tractors? If answer is 2 > Go to next question. 10178 7 1 Yes 2 No 8 9 Sysmiss Amount spend Amount spend Amount spend Amount spend Amount spend How much did you spend on [INPUT] since [round 1], in the past […] months? 3485 6700 180000 1897.892 5101.319 Household ID Household ID Household ID Household ID Household ID 1719 103 99999 49802.707 28862.949 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 1719 1 2 3 4 5 7 8 9 10 Agriculture module Agriculture module Agriculture module Agriculture module Agriculture module 1719 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 1719 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 1719 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 1719 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 1719 Any worked on shamba without being paid Any worked on shamba without being paid Any worked on shamba without being paid Any worked on shamba without being paid Any worked on shamba without being paid Since [round 1], that is in the past […] months, has anyone worked on your shambas/gardens without being paid or in exchange for your labour, or have you worked on somebody else’s shamba/garden without being paid? If answer is 2 > End. 1718 1 1 Yes 2 No 8 9 Sysmiss Count of persons Count of persons Count of persons Count of persons Count of persons 581 1138 1 5 2.401 1.193 Line number Line number Line number Line number Line number Person Number 1719 IRID Code of person who helped IRID Code of person who helped IRID Code of person who helped IRID Code of person who helped IRID Code of person who helped IRID Code or person 581 1138 Days person worked Days person worked Days person worked Days person worked Days person worked [Since round 1], for how many days did this person work on your shambas/gardens? If answer is 0 > Go to 8 (agrd8 - variable name in dataset). 581 1138 180 3.852 9.622 Activity this person did on shamba Activity this person did on shamba Activity this person did on shamba Activity this person did on shamba Activity this person did on shamba What activity did this person do on your shamba? 570 1149 1 2 3 4 Sysmiss Activity this person did on shamba(Other) Activity this person did on shamba(Other) Activity this person did on shamba(Other) Activity this person did on shamba(Other) Activity this person did on shamba(Other) What activity did this person do on your shamba? Other (specify). 19 Worked for thid person in return Worked for thid person in return Worked for thid person in return Worked for thid person in return Worked for thid person in return Did you work for this person in return for his/her work on your shambas/garden? If answer is 2 > End. 570 1149 1 Yes 2 No Sysmiss Days worked for this person Days worked for this person Days worked for this person Days worked for this person Days worked for this person [Since round 1], for how many days did you work on this person’s shamba/garden? End. 237 1482 1 98 3.612 6.585 Worked for this person without pay Worked for this person without pay Worked for this person without pay Worked for this person without pay Worked for this person without pay Since [round 1], have you worked on this person’s shamba/garden without being paid? 62 1657 1 Yes 2 No 8 Sysmiss Household ID Household ID Household ID Household ID Household ID 663 197 99975 51373.695 29581.777 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 663 1 2 3 4 5 7 11 Anthropometric Module done Anthropometric Module done Anthropometric Module done Anthropometric Module done Anthropometric Module done 663 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 663 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 663 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 663 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 663 Number of children 5 yrs Number of children 5 yrs Number of children 5 yrs Number of children 5 yrs Number of children 5 yrs 663 1 5 1.95 0.831 Number of children 12 yrs Number of children 12 yrs Number of children 12 yrs Number of children 12 yrs Number of children 12 yrs 663 7 0.801 1.096 Count of Section C Count of Section C Count of Section C Count of Section C Count of Section C 663 33 2.519 4.527 Column number Column number Column number Column number Column number First, refer to the household roster (both Section 1 from round 1 and Section 3 from round 2) and copy the ID codes of all children who are currently household members and were 5 years or younger in round 1. Weigh children with as little clothing as possible. 5 658 Code of child - Anthropomentric Code of child - Anthropomentric Code of child - Anthropomentric Code of child - Anthropomentric Code of child - Anthropomentric ID CODE of child All children that are household members and are 5 years or younger in round 1. 663 Name of child - Anthropometrics Name of child - Anthropometrics Name of child - Anthropometrics Name of child - Anthropometrics Name of child - Anthropometrics 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 in round 1. Child measured Child measured Child measured Child measured Child measured 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 in round 1. 663 1 Yes 2 No Day measured Day measured Day measured Day measured Day measured Date of Measurement (DAY/MONTH/YEAR). Day. All children that are household members and are 5 years or younger in round 1. 587 76 Month measured Month measured Month measured Month measured Month measured Date of Measurement (DAY/MONTH/YEAR). Month. All children that are household members and are 5 years or younger in round 1. 587 76 Year measured Year measured Year measured Year measured Year measured Date of Measurement (DAY/MONTH/YEAR). Year. All children that are household members and are 5 years or younger in round 1. 586 77 Weight (KG) Weight (KG) Weight (KG) Weight (KG) Weight (KG) WEIGHT (Kg) All children that are household members and are 5 years or younger in round 1. 586 77 2 98 12.319 5.015 Amount of clothing Amount of clothing Amount of clothing Amount of clothing Amount of clothing Amount of clothing worn by child. All children that are household members and are 5 years or younger in round 1. 586 77 1 More than normal 2 Normal 3 Removed some clothing 8 Sysmiss Height or Length (cm) Height or Length (cm) Height or Length (cm) Height or Length (cm) Height or Length (cm) HEIGHT or LENGTH (cm) Go to next child. All children that are household members and are 5 years or younger in round 1. 586 77 31 119 87.836 15.85 Reason not measured Reason not measured Reason not measured Reason not measured Reason not measured Reason not measured? All children that are household members and are 5 years or younger in round 1. 78 585 1 At school 2 At work 3 Boarding/traveling 4 Serious Illness 5 Refusal 6 Other 7 Sysmiss Household ID Household ID Household ID Household ID Household ID 719 389 99695 49708.716 28947.869 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 719 1 2 3 4 5 6 10 11 Anthropometric Module done Anthropometric Module done Anthropometric Module done Anthropometric Module done Anthropometric Module done 719 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 719 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 719 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 719 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 719 Number of children 5 yrs Number of children 5 yrs Number of children 5 yrs Number of children 5 yrs Number of children 5 yrs 719 Number of children 12 yrs Number of children 12 yrs Number of children 12 yrs Number of children 12 yrs Number of children 12 yrs 719 Count of Section C Count of Section C Count of Section C Count of Section C Count of Section C 719 Column number Column number Column number Column number Column number * Copy the ID codes of all children that are new household members and are 12 years or younger. * Also copy ID codes of all children from household roster Section 1 who were less than 12 months old in round 1. 719 Sysmiss ID code ID code ID code ID code ID code ID CODE of child All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 719 Have a vaccination card Have a vaccination card Have a vaccination card Have a vaccination card Have a vaccination card 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, and all children that are household members and were less than 12 months old in round 1. 719 1 Yes 2 No 3 8 Where received most vaccinations Where received most vaccinations Where received most vaccinations Where received most vaccinations Where received most vaccinations Where did [Name] receive most of the vaccinations? All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 176 543 1 2 3 4 5 6 7 98 Sysmiss BCG vaccination - Day BCG vaccination - Day BCG vaccination - Day BCG vaccination - Day BCG vaccination - Day BCG. Day. All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 173 546 BCG vaccination - Month BCG vaccination - Month BCG vaccination - Month BCG vaccination - Month BCG vaccination - Month BCG. Month. All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 173 546 BCG vaccination - Year BCG vaccination - Year BCG vaccination - Year BCG vaccination - Year BCG vaccination - Year BCG. Year. All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 165 554 Polio 0 vaccination - Day Polio 0 vaccination - Day Polio 0 vaccination - Day Polio 0 vaccination - Day Polio 0 vaccination - Day Polio 0 (at birth). Day. All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 173 546 Polio 0 vaccination - Month Polio 0 vaccination - Month Polio 0 vaccination - Month Polio 0 vaccination - Month Polio 0 vaccination - Month Polio 0 (at birth). Month. All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 173 546 Polio 0 vaccination - Year Polio 0 vaccination - Year Polio 0 vaccination - Year Polio 0 vaccination - Year Polio 0 vaccination - Year Polio 0 (at birth). Year. All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 126 593 Polio 1 vaccination - Day Polio 1 vaccination - Day Polio 1 vaccination - Day Polio 1 vaccination - Day Polio 1 vaccination - Day Polio 1. Day. All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 173 546 Polio 1 vaccination - Month Polio 1 vaccination - Month Polio 1 vaccination - Month Polio 1 vaccination - Month Polio 1 vaccination - Month Polio 1. Month. All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 173 546 Polio 1 vaccination - Year Polio 1 vaccination - Year Polio 1 vaccination - Year Polio 1 vaccination - Year Polio 1 vaccination - Year Polio 1. Year. All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 164 555 Polio 2 vaccination - Day Polio 2 vaccination - Day Polio 2 vaccination - Day Polio 2 vaccination - Day Polio 2 vaccination - Day Polio 2. Day. All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 173 546 Polio 2 vaccination - Month Polio 2 vaccination - Month Polio 2 vaccination - Month Polio 2 vaccination - Month Polio 2 vaccination - Month Polio 2. Month. All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 173 546 Polio 2 vaccination - Year Polio 2 vaccination - Year Polio 2 vaccination - Year Polio 2 vaccination - Year Polio 2 vaccination - Year Polio 2. Year. All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 151 568 Polio 3 vaccination - Day Polio 3 vaccination - Day Polio 3 vaccination - Day Polio 3 vaccination - Day Polio 3 vaccination - Day Polio 3. Day. All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 173 546 Polio 3 vaccination - Month Polio 3 vaccination - Month Polio 3 vaccination - Month Polio 3 vaccination - Month Polio 3 vaccination - Month Polio 3. Month. All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 173 546 Polio 3 vaccination - Year Polio 3 vaccination - Year Polio 3 vaccination - Year Polio 3 vaccination - Year Polio 3 vaccination - Year Polio 3. Year. All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 136 583 DPT 1 vaccination - Day DPT 1 vaccination - Day DPT 1 vaccination - Day DPT 1 vaccination - Day DPT 1 vaccination - Day DPT 1. Day. All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 173 546 DPT 1 vaccination - Month DPT 1 vaccination - Month DPT 1 vaccination - Month DPT 1 vaccination - Month DPT 1 vaccination - Month DPT 1. Month. All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 173 546 DPT 1 vaccination - Year DPT 1 vaccination - Year DPT 1 vaccination - Year DPT 1 vaccination - Year DPT 1 vaccination - Year DPT 1. Year. All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 162 557 DPT 2 vaccination - Day DPT 2 vaccination - Day DPT 2 vaccination - Day DPT 2 vaccination - Day DPT 2 vaccination - Day DPT 2. Day. All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 173 546 DPT 2 vaccination - Month DPT 2 vaccination - Month DPT 2 vaccination - Month DPT 2 vaccination - Month DPT 2 vaccination - Month DPT 2. Month. All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 173 546 DPT 2 vaccination - Year DPT 2 vaccination - Year DPT 2 vaccination - Year DPT 2 vaccination - Year DPT 2 vaccination - Year DPT 2. Year. All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 152 567 DPT 3 vaccination - Day DPT 3 vaccination - Day DPT 3 vaccination - Day DPT 3 vaccination - Day DPT 3 vaccination - Day DPT 3. Day. All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 173 546 DPT 3 vaccination - Month DPT 3 vaccination - Month DPT 3 vaccination - Month DPT 3 vaccination - Month DPT 3 vaccination - Month DPT 3. Month. All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 173 546 DPT 3 vaccination - Year DPT 3 vaccination - Year DPT 3 vaccination - Year DPT 3 vaccination - Year DPT 3 vaccination - Year DPT 3. Year. All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 139 580 Measles vaccination - Day Measles vaccination - Day Measles vaccination - Day Measles vaccination - Day Measles vaccination - Day Measles. Day. All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 173 546 Measles vaccination - Month Measles vaccination - Month Measles vaccination - Month Measles vaccination - Month Measles vaccination - Month Measles. Month. All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 173 546 Measles vaccination - Year Measles vaccination - Year Measles vaccination - Year Measles vaccination - Year Measles vaccination - Year Measles. Year. All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 86 633 Receive any vaccination Receive any vaccination Receive any vaccination Receive any vaccination Receive any vaccination 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, and all children that are household members and were less than 12 months old in round 1. 550 169 1 Yes 2 No 9 Sysmiss Where received most vaccinations Where received most vaccinations Where received most vaccinations Where received most vaccinations Where received most vaccinations Where did [Name] receive most of the vaccinations? All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 542 177 1 2 3 4 5 6 7 9 10 14 15 99 Sysmiss Received BCG vaccine Received BCG vaccine Received BCG vaccine Received BCG vaccine Received BCG vaccine A BCG vaccine against tuberculosis, that is, an injection in the left arm that caused a scar? All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 546 173 1 99 8.363 25.85 1 Yes 2 No 99 Don’t Know Received Polio vaccine Received Polio vaccine Received Polio vaccine Received Polio vaccine Received Polio vaccine 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, and all children that are household members and were less than 12 months old in round 1. 585 134 1 99 7.202 23.874 1 Yes 2 No 99 Don’t Know How many times received polio vaccine How many times received polio vaccine How many times received polio vaccine How many times received polio vaccine How many times received polio vaccine How many times? All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 550 169 1 99 19.698 36.042 When was the first polio vaccine given When was the first polio vaccine given When was the first polio vaccine given When was the first polio vaccine given When was the first polio vaccine given When was the first vaccine given, just after birth or later? All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 531 188 1 Just after birth 2 Later 3 9 Sysmiss Received DPT vaccine Received DPT vaccine Received DPT vaccine Received DPT vaccine Received DPT vaccine 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, and all children that are household members and were less than 12 months old in round 1. 564 155 1 Yes 2 No 99 Don’t Know Sysmiss How many times received DPT vaccine How many times received DPT vaccine How many times received DPT vaccine How many times received DPT vaccine How many times received DPT vaccine How many times? All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 513 206 1 99 17.735 34.703 Received an injection to prevent measles Received an injection to prevent measles Received an injection to prevent measles Received an injection to prevent measles Received an injection to prevent measles An injection to prevent measles? Go to next person. All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 611 108 1 Yes 2 No 98 99 Don’t Know Sysmiss Why not received vaccinations Why not received vaccinations Why not received vaccinations Why not received vaccinations Why not received vaccinations Why did [Name] not receive vaccinations? All children that are household members and are 12 years or younger, and all children that are household members and were less than 12 months old in round 1. 43 676 1 Clinic too far away /difficult to get to 2 Child or parent was sick 3 Vaccine out of stock 4 Forgot to take child 5 Don’t believe vaccine is effective 6 Don’t know about the vaccine 7 Other (specify) 8 Sysmiss Household ID Household ID Household ID Household ID Household ID 954 389 99695 52837.457 30668.748 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 954 1 2 4 Anthropometric Module done Anthropometric Module done Anthropometric Module done Anthropometric Module done Anthropometric Module done 954 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 954 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 954 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 954 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 954 Number of children 5 yrs Number of children 5 yrs Number of children 5 yrs Number of children 5 yrs Number of children 5 yrs 954 4 1.751 0.821 Number of children 12 yrs Number of children 12 yrs Number of children 12 yrs Number of children 12 yrs Number of children 12 yrs 954 1 7 1.841 1.23 Count of Section C Count of Section C Count of Section C Count of Section C Count of Section C 954 1 33 11.034 7.949 Line number Line number Line number Line number Line number ID Code 954 ID code ID code ID code ID code ID code ID Code 954 Age in months Age in months Age in months Age in months Age in months Age in months. 954 22 4.833 3.388 Weight in KG Weight in KG Weight in KG Weight in KG Weight in KG Weight (kg) 954 1 12 6.024 1.947 Household ID Household ID Household ID Household ID Household ID 1139 103 99999 50354.342 28875.503 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 1139 1 2 3 4 5 6 8 10 Assets module Assets module Assets module Assets module Assets module 1139 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 1139 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 1139 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 1139 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 1139 Round 1day of interveiw Round 1day of interveiw Round 1day of interveiw Round 1day of interveiw Round 1day of interveiw Date of Round 1 interview: Day. 1138 1 Round 1 month of interview Round 1 month of interview Round 1 month of interview Round 1 month of interview Round 1 month of interview Date of Round 1 interview: Month. 1138 1 Round 1 year of interview Round 1 year of interview Round 1 year of interview Round 1 year of interview Round 1 year of interview Date of Round 1 interview: Year. 1138 1 Has anyone sold land since Jan 2000 Has anyone sold land since Jan 2000 Has anyone sold land since Jan 2000 Has anyone sold land since Jan 2000 Has anyone sold land since Jan 2000 Have you or anyone in your household sold any land since [Round 1]? If answer is 2 > Go to section I-b (Land Gifts to Others)(ass16 - variable name in dataset). 1139 1 Yes 2 No Count of land sales Count of land sales Count of land sales Count of land sales Count of land sales 44 1095 1 4 1.182 0.54 Count of land purchases Count of land purchases Count of land purchases Count of land purchases Count of land purchases 77 1062 1 2 1.065 0.248 Have purchased or acquired land since Jan 2000 Have purchased or acquired land since Jan 2000 Have purchased or acquired land since Jan 2000 Have purchased or acquired land since Jan 2000 Have purchased or acquired land since Jan 2000 Have you or anyone in your household purchased or acquired any land since [Round 1]? If answer is 2 > Go to section II (assl04 - variable name in dataset). 1139 1 Yes 2 No Anyone sold or given as gift since Jan 2000 Anyone sold or given as gift since Jan 2000 Anyone sold or given as gift since Jan 2000 Anyone sold or given as gift since Jan 2000 Anyone sold or given as gift since Jan 2000 Have you or anyone in your household sold or given as gift any livestock since [Round 1]? If answer is 2 > Go to section II-b (Acquisitions)(assl10 - variable name in dataset). 1139 1 Yes 2 No Count of livestock sales Count of livestock sales Count of livestock sales Count of livestock sales Count of livestock sales 376 763 1 5 1.41 0.768 Have purchased or aquired livestock Have purchased or aquired livestock Have purchased or aquired livestock Have purchased or aquired livestock Have purchased or aquired livestock Have you or anyone in your household purchased or acquired any livestock since [Round 1]? IF answer is 2 > Go to section III (assfe06 - variable name in dataset). 1139 1 Yes 2 No Count of livestock purchased Count of livestock purchased Count of livestock purchased Count of livestock purchased Count of livestock purchased 490 649 1 5 1.408 0.73 Have sold or given as a gift farm equipments Have sold or given as a gift farm equipments Have sold or given as a gift farm equipments Have sold or given as a gift farm equipments Have sold or given as a gift farm equipments Have you or members of your household sold or given as a gift a tractor, trailer, plough, or other such large farm equipment since [Round 1]? If answer is 2 > Go to section IV-b (Acquisitions)(asse12 - variable name in dataset). 1139 1 Yes 2 No Count of equipment sold Count of equipment sold Count of equipment sold Count of equipment sold Count of equipment sold 4 1135 1 1 1 Have purchased tractor, trailer... since Jan 2000 Have purchased tractor, trailer... since Jan 2000 Have purchased tractor, trailer... since Jan 2000 Have purchased tractor, trailer... since Jan 2000 Have purchased tractor, trailer... since Jan 2000 Have you or members of your household purchased or acquired a tractor, trailer, plough, or other such large farm equipment since [Round 1]? If answer is 2 > Go to section V (assets_V - name of dataset). 1139 1 Yes 2 No Count of purchased equipment Count of purchased equipment Count of purchased equipment Count of purchased equipment Count of purchased equipment 13 1126 1 2 1.077 0.277 Sold or given as agift a vehicle Sold or given as agift a vehicle Sold or given as agift a vehicle Sold or given as agift a vehicle Sold or given as agift a vehicle Have you or members of your household sold or given as a gift a vehicle (such as a car, bicycle, etc) since [Round 1]? If answer is 2 > Go to section VI-b (Acquisitions)(assv11 - variable name in dataset). 1139 1 Yes 2 No Count of vehicle sales Count of vehicle sales Count of vehicle sales Count of vehicle sales Count of vehicle sales 30 1109 1 1 1 Have purchased a vehicle since Jan 2000 Have purchased a vehicle since Jan 2000 Have purchased a vehicle since Jan 2000 Have purchased a vehicle since Jan 2000 Have purchased a vehicle since Jan 2000 Have you or members of your household purchased or acquired a vehicle (such as a car, bicycle, etc) since [Round 1]? If answer is 2 > End. 1139 1 Yes 2 No Count of vehicle Count of vehicle Count of vehicle Count of vehicle Count of vehicle 76 1063 1 2 1.026 0.161 Household ID Household ID Household ID Household ID Household ID 52 426 99225 42402.365 26419.252 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 52 1 2 3 10 Assets module Assets module Assets module Assets module Assets module 52 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 52 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 52 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 52 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 52 Round 1day of interveiw Round 1day of interveiw Round 1day of interveiw Round 1day of interveiw Round 1day of interveiw Date of Round 1 interview. Day. 52 Round 1 month of interview Round 1 month of interview Round 1 month of interview Round 1 month of interview Round 1 month of interview Date of Round 1 interview. Month. 52 Round 1 year of interview Round 1 year of interview Round 1 year of interview Round 1 year of interview Round 1 year of interview Date of Round 1 interview. Year. 52 List number List number List number List number List number Please describe all the land sales by you or someone in your household since [Round 1]. 52 Unit Unit Unit Unit Unit 52 Month of the sale Month of the sale Month of the sale Month of the sale Month of the sale When was this sale made? Month. 52 Year of the sale Year of the sale Year of the sale Year of the sale Year of the sale When was this sale made? Year. 52 How much land sold - Quantity How much land sold - Quantity How much land sold - Quantity How much land sold - Quantity How much land sold - Quantity How much land did you sell how much money was it sold for? Land Quantity. 52 10 40480 863.846 5603.599 How much land sold - Unit How much land sold - Unit How much land sold - Unit How much land sold - Unit How much land sold - Unit How much land did you sell how much money was it sold for? Unit code. 52 1 Acres 2 Hectares 3 Sq. meters 4 Sq. feet How much land sold - Total sale price How much land sold - Total sale price How much land sold - Total sale price How much land sold - Total sale price How much land sold - Total sale price How much land did you sell how much money was it sold for? Total sale price. 52 99 1500000 112274.942 265653.968 Money share with persons - Amount Money share with persons - Amount Money share with persons - Amount Money share with persons - Amount Money share with persons - Amount How much of this money did you share with persons outside of the household? Amount. 47 5 8000 327.489 1532.245 Money share with persons - IRID Money share with persons - IRID Money share with persons - IRID Money share with persons - IRID Money share with persons - IRID How much of this money did you share with persons outside of the household? IRID code. 2 50 Why sold the land Why sold the land Why sold the land Why sold the land Why sold the land Why did you sell this land? 52 1 Health expenses 2 School fees 3 Buy/invest in a business 4 Raise money for planting season 5 Wedding or other ceremony 6 Other (specify) 9 Why sold the land (Other) Why sold the land (Other) Why sold the land (Other) Why sold the land (Other) Why sold the land (Other) Why did you sell this land? Other (specify). 13 Household ID Household ID Household ID Household ID Household ID 82 1041 99309 50796.585 29066.605 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 82 1 2 3 Assets module Assets module Assets module Assets module Assets module 82 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 82 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 82 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 82 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 82 Round 1day of interveiw Round 1day of interveiw Round 1day of interveiw Round 1day of interveiw Round 1day of interveiw Date of Round 1 interview. Day. 82 Round 1 month of interview Round 1 month of interview Round 1 month of interview Round 1 month of interview Round 1 month of interview Date of Round 1 interview. Month. 82 Round 1 year of interview Round 1 year of interview Round 1 year of interview Round 1 year of interview Round 1 year of interview Date of Round 1 interview. Year. 82 List number List number List number List number List number Please describe all the land purchases or acquisitions (including gifts and inheritances) by you or someone in your household since [Round 1]. 82 Unit Unit Unit Unit Unit 82 Month when got the plot Month when got the plot Month when got the plot Month when got the plot Month when got the plot When did you get this plot or piece of land? Month. Probe for exact month. 82 Year when got the plot Year when got the plot Year when got the plot Year when got the plot Year when got the plot When did you get this plot or piece of land? Year. Year should be 2004. 82 How aquired the land How aquired the land How aquired the land How aquired the land How aquired the land How did you acquire this land? If answer is 3, 4 or 5 > Go to next purchase. 82 1 Bought with cash 2 Bought on credit 3 Gift 4 Inherited 5 Other (specify) How aquired the land (Other) How aquired the land (Other) How aquired the land (Other) How aquired the land (Other) How aquired the land (Other) How did you acquire this land? Other (specify). How much land got - Quantity How much land got - Quantity How much land got - Quantity How much land got - Quantity How much land got - Quantity How much land did you get and how much did you pay for this land? Land Qty. 54 28 10 99700 3440.185 17300.767 How much land got - Unit How much land got - Unit How much land got - Unit How much land got - Unit How much land got - Unit How much land did you get and how much did you pay for this land? Land Unit code. 54 28 1 Acres 2 Hectares 3 Sq. meters 4 Sq. feet Sysmiss How much land got - Total purchase How much land got - Total purchase How much land got - Total purchase How much land got - Total purchase How much land got - Total purchase How much land did you get and how much did you pay for this land? Total purchase price. 53 29 99 1000000 109898.094 158370.788 Amount that remains to be paid Amount that remains to be paid Amount that remains to be paid Amount that remains to be paid Amount that remains to be paid How much of this amount remains to be paid? Amount in KSh. 53 29 120000 4509.434 19091.503 Anyone outside HH helped in paying Anyone outside HH helped in paying Anyone outside HH helped in paying Anyone outside HH helped in paying Anyone outside HH helped in paying Did anyone outside of your household help you pay for this land? If answer is 2 > Go to next purchase/acquisition. 53 29 1 Yes 2 No Sysmiss Who helped to pay - Amount Who helped to pay - Amount Who helped to pay - Amount Who helped to pay - Amount Who helped to pay - Amount Who helped you pay for this land, and how much money did they give? Amt 1. 6 76 99 45000 12516.5 16607.427 Who helped to pay - IRID Who helped to pay - IRID Who helped to pay - IRID Who helped to pay - IRID Who helped to pay - IRID Who helped you pay for this land, and how much money did they give? IRID 1. 6 76 Who helped to pay - Amount Who helped to pay - Amount Who helped to pay - Amount Who helped to pay - Amount Who helped to pay - Amount Who helped you pay for this land, and how much money did they give? Amt 2. 5 77 99 59 53.861 Who helped to pay - IRID Who helped to pay - IRID Who helped to pay - IRID Who helped to pay - IRID Who helped to pay - IRID Who helped you pay for this land, and how much money did they give? IRID 2. 1 81 Have to pay them anything Have to pay them anything Have to pay them anything Have to pay them anything Have to pay them anything Do you have to pay them anything on account of this assistance? If answer is 2 > Go to next purchase/acquisition. 6 76 1 Yes 2 No Sysmiss Value of the money that have to pay Value of the money that have to pay Value of the money that have to pay Value of the money that have to pay Value of the money that have to pay What is the value of the money and harvests that you have to pay them? Amount in KSh. 1 81 10000 10000 10000 Household ID Household ID Household ID Household ID Household ID 530 426 99999 50691.964 28022.94 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 530 1 2 3 4 5 6 10 Assets module Assets module Assets module Assets module Assets module 530 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 530 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 530 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 530 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 530 Round 1day of interveiw Round 1day of interveiw Round 1day of interveiw Round 1day of interveiw Round 1day of interveiw Date of Round 1 interview. Day. 530 Round 1 month of interview Round 1 month of interview Round 1 month of interview Round 1 month of interview Round 1 month of interview Date of Round 1 interview. Month. 530 Round 1 year of interview Round 1 year of interview Round 1 year of interview Round 1 year of interview Round 1 year of interview Date of Round 1 interview. Year. 530 Livestock code Livestock code Livestock code Livestock code Livestock code Please describe each livestock sale and gift by you or someone in your household since [Round 1]. 1 529 1 Cattle, including cows 2 Calves 3 Goats 4 Sheep 5 Pigs 6 Chickens 7 Other animals (specify) Sysmiss Livestock code Livestock code Livestock code Livestock code Livestock code Livestock Code 530 1 Cattle, including cows 2 Calves 3 Goats 4 Sheep 5 Pigs 6 Chickens 7 Other animals (specify) When was the sale - Month When was the sale - Month When was the sale - Month When was the sale - Month When was the sale - Month When was this sale or gift? Month. Probe for exact month. 530 When was the sale - Year When was the sale - Year When was the sale - Year When was the sale - Year When was the sale - Year When was this sale or gift? Year. Year should be 2004. 530 Quantity of livestock sold - Quantity Quantity of livestock sold - Quantity Quantity of livestock sold - Quantity Quantity of livestock sold - Quantity Quantity of livestock sold - Quantity What was the quantity of [LIVESTOCK] sold and how much did you get in total? Quantity sold/gifted. 530 1 99 2.155 4.67 Quantity of livestock sold - Amount Quantity of livestock sold - Amount Quantity of livestock sold - Amount Quantity of livestock sold - Amount Quantity of livestock sold - Amount 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 answer is O > Go to next sale/gift. 530 95000 8816.038 11006.07 Share money with anyone outside HH Share money with anyone outside HH Share money with anyone outside HH Share money with anyone outside HH Share money with anyone outside HH Did you share this money with anyone outside of the household? If answer is 2 > Go to 9 (assl09 - variable name in dataset). 529 1 1 Yes 2 No 8 Sysmiss Amount that went to someone - Amount Amount that went to someone - Amount Amount that went to someone - Amount Amount that went to someone - Amount Amount that went to someone - Amount How much of this amount went to someone else outside of your household? Amt. 15 515 98 27000 3836.4 6907.564 Amount that went to someone - IRID Amount that went to someone - IRID Amount that went to someone - IRID Amount that went to someone - IRID Amount that went to someone - IRID How much of this amount went to someone else outside of your household? IRID. Use IRID 98 for group. 99 don’t know. 13 517 Amount that went to someone - Amount Amount that went to someone - Amount Amount that went to someone - Amount Amount that went to someone - Amount Amount that went to someone - Amount How much of this amount went to someone else outside of your household? Amt. 11 519 3200 290.909 964.836 Amount that went to someone - IRID Amount that went to someone - IRID Amount that went to someone - IRID Amount that went to someone - IRID Amount that went to someone - IRID How much of this amount went to someone else outside of your household? IRID. Use IRID 98 for group. 99 don’t know. 1 529 Amount that went to someone - Amount Amount that went to someone - Amount Amount that went to someone - Amount Amount that went to someone - Amount Amount that went to someone - Amount How much of this amount went to someone else outside of your household? Amt. 530 Sysmiss Amount that went to someone - IRID Amount that went to someone - IRID Amount that went to someone - IRID Amount that went to someone - IRID Amount that went to someone - IRID How much of this amount went to someone else outside of your household? IRID. Use IRID 98 for group. 99 don’t know. 530 Why sold the livestock Why sold the livestock Why sold the livestock Why sold the livestock Why sold the livestock Why did you sell this [LIVESTOCK]? 529 1 1 Health expenses 2 School fees 3 Buy/invest in a business 4 Raise money for planting season 5 Wedding or other ceremony 6 Other (specify) 8 9 Sysmiss Why sold the livestock (Other) Why sold the livestock (Other) Why sold the livestock (Other) Why sold the livestock (Other) Why sold the livestock (Other) Why did you sell this [LIVESTOCK]? Other (specify). 164 Household ID Household ID Household ID Household ID Household ID 690 103 99975 50200.023 28999.516 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 690 1 2 3 4 5 6 Assets module Assets module Assets module Assets module Assets module 690 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 690 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 690 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 690 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 690 Round 1day of interveiw Round 1day of interveiw Round 1day of interveiw Round 1day of interveiw Round 1day of interveiw Date of Round 1 interview. Day. 690 Round 1 month of interview Round 1 month of interview Round 1 month of interview Round 1 month of interview Round 1 month of interview Date of Round 1 interview. Month. 690 Round 1 year of interview Round 1 year of interview Round 1 year of interview Round 1 year of interview Round 1 year of interview Date of Round 1 interview. Year. 690 Livestock code Livestock code Livestock code Livestock code Livestock code Please describe each livestock purchases or acquisition by you or someone in your household since [Round 1]. Livestock Code 1 689 1 Cattle, including cows 2 Calves 3 Goats 4 Sheep 5 Pigs 6 Chickens 7 Other animals (specify) Sysmiss Livestock code Livestock code Livestock code Livestock code Livestock code Please describe each livestock purchases or acquisition by you or someone in your household since [Round 1]. Livestock Code 690 1 Cattle, including cows 2 Calves 3 Goats 4 Sheep 5 Pigs 6 Chickens 7 Other animals (specify) When was the purchase - Month When was the purchase - Month When was the purchase - Month When was the purchase - Month When was the purchase - Month When was this acquisition? Month. 690 When was the purchase - Year When was the purchase - Year When was the purchase - Year When was the purchase - Year When was the purchase - Year When was this acquisition? Year. 690 How aquired the livestock How aquired the livestock How aquired the livestock How aquired the livestock How aquired the livestock How did you acquire this [LIVESTOCK]? If answer is 2 or 3 > Go to next purchase. 690 1 Bought or borrowed 2 Gift 3 Inherited 4 Other (specify) How aquired the livestock (Other) How aquired the livestock (Other) How aquired the livestock (Other) How aquired the livestock (Other) How aquired the livestock (Other) How did you acquire this [LIVESTOCK]? Other (specify). 426 Quantity of livestock purchased - Quantity Quantity of livestock purchased - Quantity Quantity of livestock purchased - Quantity Quantity of livestock purchased - Quantity Quantity of livestock purchased - Quantity What was the quantity of [LIVESTOCK] purchased/gifted and how much did you pay in total? Quantity purchased/gifted. 636 54 98 4.369 16.891 Quantity of livestock purchased - Amount Quantity of livestock purchased - Amount Quantity of livestock purchased - Amount Quantity of livestock purchased - Amount Quantity of livestock purchased - Amount What was the quantity of [LIVESTOCK] purchased/gifted and how much did you pay in total? Total amount paid. 470 220 140000 3872.026 10068.125 Anyone outside HH help to pay - Amount Anyone outside HH help to pay - Amount Anyone outside HH help to pay - Amount Anyone outside HH help to pay - Amount Anyone outside HH help to pay - Amount Did anyone outside of your household help you pay? Amt. 444 246 13000 96.842 689.016 Anyone outside HH help to pay - IRID Anyone outside HH help to pay - IRID Anyone outside HH help to pay - IRID Anyone outside HH help to pay - IRID Anyone outside HH help to pay - IRID Did anyone outside of your household help you pay? IRID. 10 680 Anyone outside HH help to pay - Amount Anyone outside HH help to pay - Amount Anyone outside HH help to pay - Amount Anyone outside HH help to pay - Amount Anyone outside HH help to pay - Amount Did anyone outside of your household help you pay? Amt. 7 683 Sysmiss Anyone outside HH help to pay - IRID Anyone outside HH help to pay - IRID Anyone outside HH help to pay - IRID Anyone outside HH help to pay - IRID Anyone outside HH help to pay - IRID Did anyone outside of your household help you pay? IRID. 690 Anyone outside HH help to pay - Amount Anyone outside HH help to pay - Amount Anyone outside HH help to pay - Amount Anyone outside HH help to pay - Amount Anyone outside HH help to pay - Amount Did anyone outside of your household help you pay? Amt. 1 689 Sysmiss Anyone outside HH help to pay - IRID Anyone outside HH help to pay - IRID Anyone outside HH help to pay - IRID Anyone outside HH help to pay - IRID Anyone outside HH help to pay - IRID Did anyone outside of your household help you pay? IRID. 690 Household ID Household ID Household ID Household ID Household ID 4 4100 82891 47392 37459.226 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 4 1 Assets module Assets module Assets module Assets module Assets module 4 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 4 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 4 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 4 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 4 Round 1day of interveiw Round 1day of interveiw Round 1day of interveiw Round 1day of interveiw Round 1day of interveiw Date of Round 1 interview. Day. 4 Round 1 month of interview Round 1 month of interview Round 1 month of interview Round 1 month of interview Round 1 month of interview Date of Round 1 interview. Month. 4 Round 1 year of interview Round 1 year of interview Round 1 year of interview Round 1 year of interview Round 1 year of interview Date of Round 1 interview. Year. 4 Equipment code Equipment code Equipment code Equipment code Equipment code Equipment code 4 1 Tractors 2 Trailers 3 Ploughs 4 Carts 5 Other animal drawn equipment 6 Watering equipment/sprinklers 7 Wheelbarrows 8 Chain saws 9 Other equipment/implements (specify) Sysmiss Equipment code Equipment code Equipment code Equipment code Equipment code Please describe each equipment sale or gift by you or someone in your household since [Round 1]. Equipment code 4 1 Tractors 2 Trailers 3 Ploughs 4 Carts 5 Other animal drawn equipment 6 Watering equipment/sprinklers 7 Wheelbarrows 8 Chain saws 9 Other equipment/implements (specify) When was the sale - Month When was the sale - Month When was the sale - Month When was the sale - Month When was the sale - Month When was this sale or gift? Month. 4 When was the sale - Year When was the sale - Year When was the sale - Year When was the sale - Year When was the sale - Year When was this sale or gift? Year. 4 How much sold the equipment How much sold the equipment How much sold the equipment How much sold the equipment How much sold the equipment How much did you sell this … for? Amount. If answer is 0 > Go to 11. 4 20000 250000 150000 118039.541 Share money with anyone outside HH Share money with anyone outside HH Share money with anyone outside HH Share money with anyone outside HH Share money with anyone outside HH Did you share this money with anyone outside of the household? If answer is 2 > Go to 11. 4 1 Yes 2 No How much went to someone - Amount How much went to someone - Amount How much went to someone - Amount How much went to someone - Amount How much went to someone - Amount How much of this amount went to someone else outside of your household? Amt. 4 How much went to someone - IRID How much went to someone - IRID How much went to someone - IRID How much went to someone - IRID How much went to someone - IRID How much of this amount went to someone else outside of your household? IRID. 4 Sysmiss How much went to someone - Amount How much went to someone - Amount How much went to someone - Amount How much went to someone - Amount How much went to someone - Amount How much of this amount went to someone else outside of your household? Amt. 4 How much went to someone - IRID How much went to someone - IRID How much went to someone - IRID How much went to someone - IRID How much went to someone - IRID How much of this amount went to someone else outside of your household? IRID. 4 Sysmiss How much went to someone - Amount How much went to someone - Amount How much went to someone - Amount How much went to someone - Amount How much went to someone - Amount How much of this amount went to someone else outside of your household? Amt. 4 How much went to someone - IRID How much went to someone - IRID How much went to someone - IRID How much went to someone - IRID How much went to someone - IRID How much of this amount went to someone else outside of your household? IRID. 4 Sysmiss Why sold the equipement Why sold the equipement Why sold the equipement Why sold the equipement Why sold the equipement Why did you sell this equipment? 4 1 Health expenses 2 School fees 3 Buy/invest in a business 4 Raise money for planting season 5 Wedding or other ceremony 6 Other (specify) Why sold the equipement (Other) Why sold the equipement (Other) Why sold the equipement (Other) Why sold the equipement (Other) Why sold the equipement (Other) Why did you sell this equipment? Other (specify). 1 Household ID Household ID Household ID Household ID Household ID 14 1029 99975 41270.429 37266.858 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 14 1 2 Assets module Assets module Assets module Assets module Assets module 14 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 14 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 14 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 14 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 14 Round 1day of interveiw Round 1day of interveiw Round 1day of interveiw Round 1day of interveiw Round 1day of interveiw Date of Round 1 interview. Day. 14 Round 1 month of interview Round 1 month of interview Round 1 month of interview Round 1 month of interview Round 1 month of interview Date of Round 1 interview. Month. 14 Round 1 year of interview Round 1 year of interview Round 1 year of interview Round 1 year of interview Round 1 year of interview Date of Round 1 interview. Year. 14 Equipment code Equipment code Equipment code Equipment code Equipment code Please describe each equipment purchase or gift to you or someone in your household since [Round 1]. Equipment code 14 Sysmiss Equipment code Equipment code Equipment code Equipment code Equipment code Please describe each equipment purchase or gift to you or someone in your household since [Round 1]. Equipment code 14 1 3 9 When was the acquisition - Month When was the acquisition - Month When was the acquisition - Month When was the acquisition - Month When was the acquisition - Month When was this acquisition? Month. 14 When was the acquisition - Year When was the acquisition - Year When was the acquisition - Year When was the acquisition - Year When was the acquisition - Year When was this acquisition? Year. 14 How aqcuired the equipment How aqcuired the equipment How aqcuired the equipment How aqcuired the equipment How aqcuired the equipment How did you acquire this equipment? If answer is 2 or 3 > Go to next purchase. 14 1 Bought or borrowed 2 Gift 3 Inherited 4 Other (specify) How aqcuired the equipment (Other) How aqcuired the equipment (Other) How aqcuired the equipment (Other) How aqcuired the equipment (Other) How aqcuired the equipment (Other) How did you acquire this equipment? Other (specify). Quantity of equipment purchased - Quantity Quantity of equipment purchased - Quantity Quantity of equipment purchased - Quantity Quantity of equipment purchased - Quantity Quantity of equipment purchased - Quantity What was the quantity of equipment purchased/gifted and how much did you pay in total? Quantity purchased/gifted. 14 1 1 1 Quantity of equipment purchased - Total amount paid Quantity of equipment purchased - Total amount paid Quantity of equipment purchased - Total amount paid Quantity of equipment purchased - Total amount paid Quantity of equipment purchased - Total amount paid What was the quantity of equipment purchased/gifted and how much did you pay in total? Total amount paid. 14 4500 590000 162321.429 187443.695 Anyone outside HH help to pay - Amount Anyone outside HH help to pay - Amount Anyone outside HH help to pay - Amount Anyone outside HH help to pay - Amount Anyone outside HH help to pay - Amount Did anyone outside of your household help you pay? Amt. 14 70000 7285.714 19730.603 Anyone outside HH help to pay - IRID Anyone outside HH help to pay - IRID Anyone outside HH help to pay - IRID Anyone outside HH help to pay - IRID Anyone outside HH help to pay - IRID Did anyone outside of your household help you pay? IRID. 3 11 Anyone outside HH help to pay - Amount Anyone outside HH help to pay - Amount Anyone outside HH help to pay - Amount Anyone outside HH help to pay - Amount Anyone outside HH help to pay - Amount Did anyone outside of your household help you pay? Amt. 1 13 Anyone outside HH help to pay - IRID Anyone outside HH help to pay - IRID Anyone outside HH help to pay - IRID Anyone outside HH help to pay - IRID Anyone outside HH help to pay - IRID Did anyone outside of your household help you pay? IRID. 14 Anyone outside HH help to pay - Amount Anyone outside HH help to pay - Amount Anyone outside HH help to pay - Amount Anyone outside HH help to pay - Amount Anyone outside HH help to pay - Amount Did anyone outside of your household help you pay? Amt. 14 Anyone outside HH help to pay - IRID Anyone outside HH help to pay - IRID Anyone outside HH help to pay - IRID Anyone outside HH help to pay - IRID Anyone outside HH help to pay - IRID Did anyone outside of your household help you pay? IRID. 14 Household ID Household ID Household ID Household ID Household ID 11390 103 99999 50354.342 28864.092 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 11390 1 2 3 4 5 6 8 10 Assets module Assets module Assets module Assets module Assets module 11390 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 11390 1.299 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 11390 15.516 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 11390 6.965 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 11390 2004.473 Round 1day of interveiw Round 1day of interveiw Round 1day of interveiw Round 1day of interveiw Round 1day of interveiw Date of Round 1 interview. Day. 11380 10 42.049 Round 1 month of interview Round 1 month of interview Round 1 month of interview Round 1 month of interview Round 1 month of interview Date of Round 1 interview. Month. 11380 10 34.919 Round 1 year of interview Round 1 year of interview Round 1 year of interview Round 1 year of interview Round 1 year of interview Date of Round 1 interview. Year. 11380 10 1960.458 Item Item Item Item Item ITEMS 11390 1 Sewing machines 2 Coolers 3 Refrigerators 4 Radios 5 Televisions 6 Mobile telephones 7 Landline telephones 8 Stove (electric) 9 Stove (gas) 10 Watches/Clocks Code is created from an item list in the questionnaire. How many currently own How many currently own How many currently own How many currently own How many currently own How many [ITEMS] do members of your household currently own? 11390 98 0.296 1.129 Total value Total value Total value Total value Total value What is the total value of all the [ITEMS] if you were to sell them today? 2342 9048 15 99999 3285.641 5871.014 Household ID Household ID Household ID Household ID Household ID 30 1029 99962 39785.067 26966.7 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 30 1 2 Assets module Assets module Assets module Assets module Assets module 30 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 30 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 30 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 30 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 30 Round 1day of interveiw Round 1day of interveiw Round 1day of interveiw Round 1day of interveiw Round 1day of interveiw Date of Round 1 interview. Day. 30 Round 1 month of interview Round 1 month of interview Round 1 month of interview Round 1 month of interview Round 1 month of interview Date of Round 1 interview. Month. 30 Round 1 year of interview Round 1 year of interview Round 1 year of interview Round 1 year of interview Round 1 year of interview Date of Round 1 interview. Year. 30 Line number Line number Line number Line number Line number Please describe each vehicle sale or gift by you or someone in your household since [Round 1]. 30 Vehicle code Vehicle code Vehicle code Vehicle code Vehicle code Vehicle code 30 1 Car/pickup 2 Truck 3 Motorcycle 4 Matatu/business vehicle 5 Bicycle 6 Other (specify) When was the sale - Month When was the sale - Month When was the sale - Month When was the sale - Month When was the sale - Month When was this sale or gift? Month. 30 When was the sale - Year When was the sale - Year When was the sale - Year When was the sale - Year When was the sale - Year When was this sale or gift? Year. 30 How much did you sell How much did you sell How much did you sell How much did you sell How much did you sell How much did you sell this … for? If answer is 0 > Go to 10 (assv10 - variable name in dataset). 30 200000 19780 42374.565 Shared money with anyone outside HH Shared money with anyone outside HH Shared money with anyone outside HH Shared money with anyone outside HH Shared money with anyone outside HH Did you share this money with anyone outside of the household? If answer is 2 > Go to 10. 29 1 1 Yes 2 No Sysmiss How much went to someone - Amount How much went to someone - Amount How much went to someone - Amount How much went to someone - Amount How much went to someone - Amount How much of this amount went to someone else outside of your household? Amt. 2 28 20000 20000 20000 How much went to someone - IRID How much went to someone - IRID How much went to someone - IRID How much went to someone - IRID How much went to someone - IRID How much of this amount went to someone else outside of your household? IRID. 2 28 How much went to someone - Amount How much went to someone - Amount How much went to someone - Amount How much went to someone - Amount How much went to someone - Amount How much of this amount went to someone else outside of your household? Amt. 2 28 20000 10000 14142.136 How much went to someone - IRID How much went to someone - IRID How much went to someone - IRID How much went to someone - IRID How much went to someone - IRID How much of this amount went to someone else outside of your household? IRID. 1 How much went to someone - Amount How much went to someone - Amount How much went to someone - Amount How much went to someone - Amount How much went to someone - Amount How much of this amount went to someone else outside of your household? Amt. 1 29 How much went to someone - IRID How much went to someone - IRID How much went to someone - IRID How much went to someone - IRID How much went to someone - IRID How much of this amount went to someone else outside of your household? IRID. 30 Why sold the vehicle Why sold the vehicle Why sold the vehicle Why sold the vehicle Why sold the vehicle Why did you sell this vehicle? 30 1 Health expenses 2 School fees 3 Buy/invest in a business 4 Raise money for planting season 5 Wedding or other ceremony 6 Other (specify) Why sold the vehicle (Other) Why sold the vehicle (Other) Why sold the vehicle (Other) Why sold the vehicle (Other) Why sold the vehicle (Other) Why did you sell this vehicle? Other (specify). 10 Household ID Household ID Household ID Household ID Household ID 78 389 99500 47984.538 31239.742 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 78 1 2 3 10 Assets module Assets module Assets module Assets module Assets module 78 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 78 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 78 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 78 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 78 Round 1day of interveiw Round 1day of interveiw Round 1day of interveiw Round 1day of interveiw Round 1day of interveiw Date of Round 1 interview. Day. 78 Round 1 month of interview Round 1 month of interview Round 1 month of interview Round 1 month of interview Round 1 month of interview Date of Round 1 interview. Month. 78 Round 1 year of interview Round 1 year of interview Round 1 year of interview Round 1 year of interview Round 1 year of interview Date of Round 1 interview. Year. 78 Vehicle code Vehicle code Vehicle code Vehicle code Vehicle code Please describe each vehicle purchase or gift to you or someone in your household since [Round 1]. 78 Sysmiss Vehicle code Vehicle code Vehicle code Vehicle code Vehicle code Vehicle code 78 1 Car/pickup 2 Truck 3 Motorcycle 4 Matatu/business vehicle 5 Bicycle 6 Other (specify) When was the acquisition - Month When was the acquisition - Month When was the acquisition - Month When was the acquisition - Month When was the acquisition - Month When was this acquisition? Month. 78 When was the acquisition - Year When was the acquisition - Year When was the acquisition - Year When was the acquisition - Year When was the acquisition - Year When was this acquisition? Year. 78 How many vehicles were acquired - Quantity How many vehicles were acquired - Quantity How many vehicles were acquired - Quantity How many vehicles were acquired - Quantity How many vehicles were acquired - Quantity How many [vehicles] were acquired and how much did was paid in total? Quantity. 78 1 2 1.013 0.113 How many vehicles were acquired - Total value How many vehicles were acquired - Total value How many vehicles were acquired - Total value How many vehicles were acquired - Total value How many vehicles were acquired - Total value How many [vehicles] were acquired and how much did was paid in total? Total value. 78 99 700000 34755.744 115613.566 How acquired the vehicle How acquired the vehicle How acquired the vehicle How acquired the vehicle How acquired the vehicle How did you acquire this vehicle? If answer is 2 or 3 > Go to next purchase. 78 1 Bought or borrowed 2 Gift 3 Inherited 4 Other (specify) How acquired the vehicle (Other) How acquired the vehicle (Other) How acquired the vehicle (Other) How acquired the vehicle (Other) How acquired the vehicle (Other) How did you acquire this vehicle? Other (specify). Anyone outside help to pay - Amount Anyone outside help to pay - Amount Anyone outside help to pay - Amount Anyone outside help to pay - Amount Anyone outside help to pay - Amount Did anyone outside of your household help you pay? Amt. 71 7 4000 119.718 612.167 Anyone outside help to pay - IRID Anyone outside help to pay - IRID Anyone outside help to pay - IRID Anyone outside help to pay - IRID Anyone outside help to pay - IRID Did anyone outside of your household help you pay? IRID. 3 75 Anyone outside help to pay - Amount Anyone outside help to pay - Amount Anyone outside help to pay - Amount Anyone outside help to pay - Amount Anyone outside help to pay - Amount Did anyone outside of your household help you pay? Amt. 2 76 Anyone outside help to pay - IRID Anyone outside help to pay - IRID Anyone outside help to pay - IRID Anyone outside help to pay - IRID Anyone outside help to pay - IRID Did anyone outside of your household help you pay? IRID. 78 Anyone outside help to pay - Amount Anyone outside help to pay - Amount Anyone outside help to pay - Amount Anyone outside help to pay - Amount Anyone outside help to pay - Amount Did anyone outside of your household help you pay? Amt. 78 Anyone outside help to pay - IRID Anyone outside help to pay - IRID Anyone outside help to pay - IRID Anyone outside help to pay - IRID Anyone outside help to pay - IRID Did anyone outside of your household help you pay? IRID. 78 Household ID Household ID Household ID Household ID Household ID 1559 103 99999 49906.278 29035.648 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 1559 1 2 3 4 5 6 7 8 9 10 Knowledge & behavior module Knowledge & behavior module Knowledge & behavior module Knowledge & behavior module Knowledge & behavior module 1559 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 1559 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 1559 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 1559 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 1559 When child has diarrhea should be given less to drink When child has diarrhea should be given less to drink When child has diarrhea should be given less to drink When child has diarrhea should be given less to drink When child has diarrhea should be given less to drink When a child has diarrhea, should he/she be given less to drink than usual, about the same amount, or more than usual? 1559 1 Less 2 Same 3 More Percentage of children in village have malaria in past 12 mo Percentage of children in village have malaria in past 12 mo Percentage of children in village have malaria in past 12 mo Percentage of children in village have malaria in past 12 mo Percentage of children in village have malaria in past 12 mo What percentage of children (under 12 years of age) in the village have malaria in the past 12 months? Probe: 'how many children out of 10 children?' if respondent can't answer. 1559 5 99 42.385 19.732 Can a person who looks health have HIV Can a person who looks health have HIV Can a person who looks health have HIV Can a person who looks health have HIV Can a person who looks health have HIV Can a person who looks healthy have HIV, the virus that causes AIDS? 1559 1 Yes 2 No 8 9 99 Don’t Know Personally know someone who has died from AIDS Personally know someone who has died from AIDS Personally know someone who has died from AIDS Personally know someone who has died from AIDS Personally know someone who has died from AIDS Since [Round 1], has anybody known to you personally died from AIDS? *Probe by asking about household members, relatives, friends. If answer is 2 > Go to 5 (kb05 - variable name in dataset). 1559 1 Yes 2 No 8 What was relation to this person What was relation to this person What was relation to this person What was relation to this person What was relation to this person What was your relation to this person? * If there are multiple persons, ask about person who died most recently. 724 835 1 Household member 2 Relative in this Division 3 Relative elsewhere 4 Non-relative in this Division 5 Non-relative elsewhere 8 Sysmiss How many people have died from AIDS How many people have died from AIDS How many people have died from AIDS How many people have died from AIDS How many people have died from AIDS How many people (in total) known to you personally have died from AIDS? 1557 2 99 6.322 8.951 Personally know anyone who received or currently receiving t Personally know anyone who received or currently receiving t Personally know anyone who received or currently receiving t Personally know anyone who received or currently receiving t Personally know anyone who received or currently receiving t Since [Round 1], has anybody known to you personally begun to receive treatment for AIDS? *Probe by asking about household members, relatives, friends. If answer is 2 > Go to 7 (kb07 - variable name in dataset). 1558 1 1 Yes 2 No 8 Sysmiss What is relationship to this person What is relationship to this person What is relationship to this person What is relationship to this person What is relationship to this person What was/is your relation to this person? * If there are multiple persons, ask about closest relation. 721 838 1 Household member 2 Relative in this Division 3 Relative elsewhere 4 Non-relative in this Division 5 Non-relative elsewhere 8 Sysmiss What happened to person's health since receiving treatment What happened to person's health since receiving treatment What happened to person's health since receiving treatment What happened to person's health since receiving treatment What happened to person's health since receiving treatment What has happened to this person’s health since receiving treatment? 721 838 1 Recovered / Improved 2 Remained sick 3 Got more sick 4 Too early to tell 5 Died 98 99 Don’t Know Sysmiss In Kosirai, treatment for HIV/AIDS ie easily available In Kosirai, treatment for HIV/AIDS ie easily available In Kosirai, treatment for HIV/AIDS ie easily available In Kosirai, treatment for HIV/AIDS ie easily available In Kosirai, treatment for HIV/AIDS ie easily available 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? 1558 1 1 Easily available 2 Available, but not for everyone who needs it 3 Not available at all 8 9 99 Don’t Know Sysmiss Percentage of adults that have HIV/AIDS in Kosirai Percentage of adults that have HIV/AIDS in Kosirai Percentage of adults that have HIV/AIDS in Kosirai Percentage of adults that have HIV/AIDS in Kosirai Percentage of adults that have HIV/AIDS in Kosirai What percentage of adults do you think have HIV/AIDS in this region (Kosirai division)? Probe by asking 'how many adults out of 10 adults?' 1559 Do any member regularly use mosquito nets Do any member regularly use mosquito nets Do any member regularly use mosquito nets Do any member regularly use mosquito nets Do any member regularly use mosquito nets Do any of your household members regularly use mosquito nets when sleeping? 1559 1 Yes 2 No 8 Ever been tested for HIV Ever been tested for HIV Ever been tested for HIV Ever been tested for HIV Ever been tested for HIV Have you ever been tested for HIV? If answer is 2 or 99 > Go to 16 (kbb16 - variable name in dataset). 1559 1 Yes 2 No 8 9 99 Don’t Know How many times been tested for HIV How many times been tested for HIV How many times been tested for HIV How many times been tested for HIV How many times been tested for HIV How many times have you been tested for HIV? If tested only once > Go to 8 (kbb08m - variable name in dataset). 795 764 Month when tested for HIV Month when tested for HIV Month when tested for HIV Month when tested for HIV Month when tested for HIV When was the FIRST time you were tested for HIV? Month. 159 1400 1 99 22.742 35.431 1 2 3 4 5 6 7 8 9 10 11 12 98 99 Sysmiss Year when tested for HIV Year when tested for HIV Year when tested for HIV Year when tested for HIV Year when tested for HIV When was the FIRST time you were tested for HIV? Year. 156 1403 99 Don't Know 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 Sysmiss Where tested for HIV Where tested for HIV Where tested for HIV Where tested for HIV Where tested for HIV Now I would like to ask you about your first HIV test. Did your first HIV test take place at a VCT clinic, antenatal clinic, or elsewhere? 156 1403 1 VCT clinic 2 Antenatal clinic 3 Other (specify) 4 Won’t say 9 Sysmiss Where tested for HIV (Other) Where tested for HIV (Other) Where tested for HIV (Other) Where tested for HIV (Other) Where tested for HIV (Other) Did your first HIV test take place at a VCT clinic, antenatal clinic, or elsewhere? Other (specify). 21 ELDORET ELDORET HOSPITAL LAB HOSPITAL LABARATORY HOSPITAL LABORATORY HOSPITAL WHEN SICK KAKAMEGA KAPSABET LAB LAB ELDORET LAB ELDY MISSION HOSPITAL MOSORIOT HC LAB NAIROBI NAKURU BARRACKS PRIVATE CLINIC What was the result of HIV test What was the result of HIV test What was the result of HIV test What was the result of HIV test What was the result of HIV test What was the result of your first HIV test? *Emphasize confidentiality when asking this question. 157 1402 1 HIV-Positive 2 HIV-Negative 3 Won’t say 8 9 Sysmiss HIV result came as a surprise HIV result came as a surprise HIV result came as a surprise HIV result came as a surprise HIV result came as a surprise Please think back to the time of your first HIV test. Did your test result come as a surprise to you, or was it the same as what you had expected prior to the test? 153 1406 1 Same as expected 2 Surprised – worse than expected 3 Surprised – better than expected 4 Won’t say 8 Sysmiss When was the most recent test - Month When was the most recent test - Month When was the most recent test - Month When was the most recent test - Month When was the most recent test - Month Now I would like to ask you about your most recent HIV test. When was the most recent time you were tested for HIV? Month. 798 761 1 99 11.539 21.87 1 2 3 4 5 6 7 8 9 10 11 12 98 99 Sysmiss When was the most recent test - Year When was the most recent test - Year When was the most recent test - Year When was the most recent test - Year When was the most recent test - Year Now I would like to ask you about your most recent HIV test. When was the most recent time you were tested for HIV? Year. 797 762 98 99 Don't Know 1990 1996 1998 1999 2000 2001 2002 2003 2004 2005 Sysmiss Where tested for HIV most recently Where tested for HIV most recently Where tested for HIV most recently Where tested for HIV most recently Where tested for HIV most recently Where did you get tested for HIV most recently? 798 761 1 Mosoriot Health Center 2 Turbo Health Center 3 Burnt Forest Health Center 4 Eldoret 5 Kapsabet 6 Kisumu 7 Other (specify) 8 99 Don’t know Sysmiss Where tested for HIV most recently (Other) Where tested for HIV most recently (Other) Where tested for HIV most recently (Other) Where tested for HIV most recently (Other) Where tested for HIV most recently (Other) Where did you get tested for HIV most recently? Other (specify). 35 CHEPTERIT CHEPTERIT DISPENSARY CHEPTERIT HC CHEPTERIT MISSION ITIGO MOBILE VCT KIPNGOROR PRIVATE KITALE(PRIVATE) LELMOKWO LELMOKWO DISPENSARY MATTER HOSPITAL NRB MISSION HOSPITAL MOI AIRBASE NAIROBI NAIROBI NAKURU NAKURU BARRACKS NANDI HILLS PRIVATE DOCTOR SABATIA EYE HOSPITAL SABATIA HEALTH CENTR Where tested recently Where tested recently Where tested recently Where tested recently Where tested recently Did your most recent HIV test take place at a VCT clinic, antenatal clinic, or elsewhere? If answer is 2 > Go to 12 (kbb12 - variable name in dataset). 798 761 1 VCT clinic 2 Antenatal clinic 3 Other (specify) 4 Won’t say 8 Sysmiss Where tested recently (Other) Where tested recently (Other) Where tested recently (Other) Where tested recently (Other) Where tested recently (Other) Did your most recent HIV test take place at a VCT clinic, antenatal clinic, or elsewhere? Other (specify). 58 BLOOD BANK DONATION HOSP WHEN SICK HOSPITAL HOSPITAL LABORATORY HOSPITALS LAB LAB LAB DISPENSARY LAB ELDORET LAB HOSPITAL LAB KAPSABET LAB TEST MAMLIN MATERNITY WARD MOSORIOT LABORATORY NAIROBI HOSPITAL PRIVATE DOCTOR PRIVATE HOSPITAL LAB PRIVATE LAB ELDORET Main reason why went for an HIV test Main reason why went for an HIV test Main reason why went for an HIV test Main reason why went for an HIV test Main reason why went for an HIV test What was the main reason why you went for an HIV test? 1559 1 partner suspected to be unfaithful 2 have had multiple partners 3 to get married 4 sick before test 5 spouse encouraged 6 friend encouraged 7 attended baraza 8 Other (specify) Sysmiss Main reason why went for an HIV test (Other) Main reason why went for an HIV test (Other) Main reason why went for an HIV test (Other) Main reason why went for an HIV test (Other) Main reason why went for an HIV test (Other) What was the main reason why you went for an HIV test? Other (specify). What was the result of the test What was the result of the test What was the result of the test What was the result of the test What was the result of the test What was the result of your HIV test? * emphasize confidentiality when asking this question. 1559 1 HIV-Positive 2 HIV-Negative 3 Won’t say Sysmiss HIV cam as a surprise HIV cam as a surprise HIV cam as a surprise HIV cam as a surprise HIV cam as a surprise Please think back to the time of your most recent HIV test. Did your test result come as a surprise to you, or was it the same as what you had expected prior to the test? 1559 1 Same as expected 2 Suprised - worse 3 Surprise - better 4 Won't say Sysmiss Have informed spouse about HIV status Have informed spouse about HIV status Have informed spouse about HIV status Have informed spouse about HIV status Have informed spouse about HIV status Have you informed your spouse (or main partner) about your HIV status? * include spouse/partner at time of test 1559 1 Yes 2 No 3 N/A (no spouse or main partner) Sysmiss Who else informed - A Who else informed - A Who else informed - A Who else informed - A Who else informed - A Who else have you informed about your status? *list the 3 people that were informed first. Who else informed - B Who else informed - B Who else informed - B Who else informed - B Who else informed - B Who else have you informed about your status? *list the 3 people that were informed first. Who else informed - C Who else informed - C Who else informed - C Who else informed - C Who else informed - C Who else have you informed about your status? *list the 3 people that were informed first. Chances of having HIV/AIDS Chances of having HIV/AIDS Chances of having HIV/AIDS Chances of having HIV/AIDS Chances of having HIV/AIDS Do you think your chances of having HIV/AIDS are high, moderate, low, or do you think you are at no risk at all? 1559 1 High 2 Moderate 3 Low 4 No risk at all 8 9 Percent chance of having HIV/AIDS Percent chance of having HIV/AIDS Percent chance of having HIV/AIDS Percent chance of having HIV/AIDS Percent chance of having HIV/AIDS What do you think is the percent chance (0 to 100) that you currently have HIV/AIDS? 1559 100 42.502 45.395 Sexually active since round 1 Sexually active since round 1 Sexually active since round 1 Sexually active since round 1 Sexually active since round 1 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. Since [round 1], that is in past […] months, have you been sexually active? If answer is 2 > Go to 4 (behavior_c4 - variable name in dataset) or section D (kbd01 - variable name in dataset) if no partner. Men under 59 yrs and women under 49 yrs. 1559 1 Yes 2 No 8 Have had any sexual partner other than spouse Have had any sexual partner other than spouse Have had any sexual partner other than spouse Have had any sexual partner other than spouse Have had any sexual partner other than spouse Since [round 1], that is in the past […] months, have you had any sexual partners other that your spouse(s) or main partner? If answer is 2 > Go to 4 (kbd04 - variable name in dataset). Men under 59 yrs and women under 49 yrs. 1133 426 1 Yes 2 No 8 Sysmiss Partners including spouse since round 1 Partners including spouse since round 1 Partners including spouse since round 1 Partners including spouse since round 1 Partners including spouse since round 1 How many different sexual partners (including your spouse) have you had since [round 1], in the past […] months? Men under 59 yrs and women under 49 yrs. 39 1520 1 98 4.385 15.398 Count of partners/spouse Count of partners/spouse Count of partners/spouse Count of partners/spouse Count of partners/spouse Men under 59 yrs and women under 49 yrs. 1559 Infected with HIV virus is a sign of weak character Infected with HIV virus is a sign of weak character Infected with HIV virus is a sign of weak character Infected with HIV virus is a sign of weak character Infected with HIV virus is a sign of weak character 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. Most people I know think that adults who are infected with the AIDS virus is a sign of immoral behavior. 1559 1 strongly agree 2 agree somewhat 3 feel neutral 4 disagree 5 strongly disagree 8 9 Feel ashamed of having HIV Feel ashamed of having HIV Feel ashamed of having HIV Feel ashamed of having HIV Feel ashamed of having HIV HIV+: I feel ashamed of having HIV. HIV-: If I was infected with the AIDS virus, I would feel ashamed of myself. 1559 1 strongly agree 2 agree somewhat 3 feel neutral 4 disagree 5 strongly disagree 8 People feel angry with people with HIV/AIDS People feel angry with people with HIV/AIDS People feel angry with people with HIV/AIDS People feel angry with people with HIV/AIDS People feel angry with people with HIV/AIDS Most people I know feel angry with people with HIV/AIDS for having inflicted this condition upon themselves. 1559 1 strongly agree 2 agree somewhat 3 feel neutral 4 disagree 5 strongly disagree 8 9 Feel angry with self for having inflicted Feel angry with self for having inflicted Feel angry with self for having inflicted Feel angry with self for having inflicted Feel angry with self for having inflicted HIV+: I feel angry with myself for having inflicted this disease upon myself. HIV-: If I was infected with the AIDS virus, I would feel angry with myself for having inflicted this disease upon myself. 1559 1 strongly agree 2 agree somewhat 3 feel neutral 4 disagree 5 strongly disagree 8 9 People avoid contact with people living with HIV/AIDS People avoid contact with people living with HIV/AIDS People avoid contact with people living with HIV/AIDS People avoid contact with people living with HIV/AIDS People avoid contact with people living with HIV/AIDS Most people I know avoid contact with people living with HIV/AIDS because they are afraid of contracting the disease. 1559 1 strongly agree 2 agree somewhat 3 feel neutral 4 disagree 5 strongly disagree 8 9 Feel should stay away from children and friends Feel should stay away from children and friends Feel should stay away from children and friends Feel should stay away from children and friends Feel should stay away from children and friends HIV+: Since I know I have HIV/AIDS, I feel I should stay away from children and friends as much as I can (to avoid the risk of further transmitting the disease). HIV-: If I was diagnosed with the AIDS virus, I would try to stay away from children and friends as much as I can (to avoid the risk of further transmitting the disease). 1559 1 strongly agree 2 agree somewhat 3 feel neutral 4 disagree 5 strongly disagree 8 9 People feel disgust with people living with HIV/AIDS People feel disgust with people living with HIV/AIDS People feel disgust with people living with HIV/AIDS People feel disgust with people living with HIV/AIDS People feel disgust with people living with HIV/AIDS Most people I know feel disgust with people living with HIV/AIDS. 1559 1 strongly agree 2 agree somewhat 3 feel neutral 4 disagree 5 strongly disagree 8 9 Feel disgusted with body Feel disgusted with body Feel disgusted with body Feel disgusted with body Feel disgusted with body HIV+: Since I know I have HIV/AIDS, I feel disgusted with my body. HIV-: If I was diagnosed with the AIDS virus, I would feel disgusted with my body. 1559 1 strongly agree 2 agree somewhat 3 feel neutral 4 disagree 5 strongly disagree 8 9 Female teacher with HIV should continue teaching Female teacher with HIV should continue teaching Female teacher with HIV should continue teaching Female teacher with HIV should continue teaching Female teacher with HIV should continue teaching Most people I know would agree that a female teacher who has AIDS but is not sick should be allowed to continue teaching in the school. 1559 1 strongly agree 2 agree somewhat 3 feel neutral 4 disagree 5 strongly disagree 8 9 I should be aloowed to continue teaching in the school I should be aloowed to continue teaching in the school I should be aloowed to continue teaching in the school I should be aloowed to continue teaching in the school I should be aloowed to continue teaching in the school HIV+: If I was a teacher infected with the AIDS virus but was not sick, I would find that I should be allowed to continue teaching in the school. HIV-: If I was a teacher diagnosed with the AIDS virus but was not sick, I would find that I should be allowed to continue teaching in the school. 1559 1 strongly agree 2 agree somewhat 3 feel neutral 4 disagree 5 strongly disagree 8 9 Household ID Household ID Household ID Household ID Household ID 1011 103 99975 49887.001 29686.435 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 1011 1 2 3 4 5 7 8 9 Knowledge & behavior module Knowledge & behavior module Knowledge & behavior module Knowledge & behavior module Knowledge & behavior module 1011 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 1011 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 1011 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 1011 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 1011 Partner number Partner number Partner number Partner number Partner number Now I would like to ask you several questions regarding you and your spouse/partner, and [if answer to question 2 is YES] for each of your other sexual partners since [Round 1]. Partner # 1011 Number Number Number Number Number 5 1006 1 1 1 Partner ID code Partner ID code Partner ID code Partner ID code Partner ID code HHID or IRID 1006 Relationship to partner (HHID/IRID) Relationship to partner (HHID/IRID) Relationship to partner (HHID/IRID) Relationship to partner (HHID/IRID) Relationship to partner (HHID/IRID) What is your relationship to this sexual partner? Men under 59 yrs and women under 49 yrs. 1011 1 Spouse 2 Live-in partner 3 Partner not living with you 4 Casual acquaintance 5 Other (specify) Relationship to partner (HHID/IRID) (Other) Relationship to partner (HHID/IRID) (Other) Relationship to partner (HHID/IRID) (Other) Relationship to partner (HHID/IRID) (Other) Relationship to partner (HHID/IRID) (Other) What is your relationship to this sexual partner? Other (specify). Men under 59 yrs and women under 49 yrs. 3 Last time had sex with the partner Last time had sex with the partner Last time had sex with the partner Last time had sex with the partner Last time had sex with the partner When did you last have sex with this partner? Men under 59 yrs and women under 49 yrs. 1011 1 Within the past week 2 One to four weeks ago 3 More than a month ago Used condom when last had sex with partner Used condom when last had sex with partner Used condom when last had sex with partner Used condom when last had sex with partner Used condom when last had sex with partner When you last had sex with this partner, did you use condoms? Men under 59 yrs and women under 49 yrs. 1011 1 Yes 2 No 8 Think partner has other partners in past 6 months Think partner has other partners in past 6 months Think partner has other partners in past 6 months Think partner has other partners in past 6 months Think partner has other partners in past 6 months Do you think your partner has had other partners in the past 6 months? Men under 59 yrs and women under 49 yrs. 1011 1 Yes 2 No 8 9 99 Don’t know Partner been tested for HIV Partner been tested for HIV Partner been tested for HIV Partner been tested for HIV Partner been tested for HIV Has your partner ever been tested for HIV? If answer is 2 or 99 > Go to 12 (kbc12 - variable name in dataset). Men under 59 yrs and women under 49 yrs. 1011 1 Yes 2 No 3 Don’t know 8 9 Month when partner was tested Month when partner was tested Month when partner was tested Month when partner was tested Month when partner was tested When was your partner tested for HIV? Month. Men under 59 yrs and women under 49 yrs. 361 650 Year when partner was tested Year when partner was tested Year when partner was tested Year when partner was tested Year when partner was tested When was your partner tested for HIV? Year. Men under 59 yrs and women under 49 yrs. 361 650 Know partner's HIV status Know partner's HIV status Know partner's HIV status Know partner's HIV status Know partner's HIV status Do you know your partner’s HIV status? If answer is 2 > Go to 12 (kbc12 - variable name in dataset). Men under 59 yrs and women under 49 yrs. 361 650 1 Yes 2 No Sysmiss Partner's HIV status Partner's HIV status Partner's HIV status Partner's HIV status Partner's HIV status What is your partner’s HIV status? Men under 59 yrs and women under 49 yrs. 1011 1 HIV-Positive 2 HIV-Negative 3 Won’t say Sysmiss Partner's chances of HIV/AIDS Partner's chances of HIV/AIDS Partner's chances of HIV/AIDS Partner's chances of HIV/AIDS Partner's chances of HIV/AIDS 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? Men under 59 yrs and women under 49 yrs. 1011 1 High 2 Moderate 3 Low 4 No risk at all Sysmiss Household ID Household ID Household ID Household ID Household ID 2744 103 99999 51352.929 29316.846 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 2744 1 2 3 4 5 7 8 9 Education module done Education module done Education module done Education module done Education module done 2744 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 2744 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 2744 1 31 15.394 8.527 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 2744 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 2744 Members in Section 2: Members in Section 2: Members in Section 2: Members in Section 2: Members in Section 2: 2744 ID codes of all household members older than 6 year ID codes of all household members older than 6 year ID codes of all household members older than 6 year ID codes of all household members older than 6 year ID codes of all household members older than 6 year ID Codes of all household members older than 6 years, from Sec. 3 of Household Roster All new household members who are 6 years and older. 4 2740 Members ID above 6 years Members ID above 6 years Members ID above 6 years Members ID above 6 years Members ID above 6 years ID Codes of all household members older than 6 years, from Sec. 3 of Household Roster All new household members who are 6 years and older. 2744 Has ever attended school Has ever attended school Has ever attended school Has ever attended school Has ever attended school Has [NAME] ever attended or is he/she attending a school? If answer is 2 > Go to 4 (qed04 - variable name in dataset). All new household members who are 6 years and older. 173 2571 1 Yes 2 No Sysmiss Highest grade completed - Level Highest grade completed - Level Highest grade completed - Level Highest grade completed - Level Highest grade completed - Level 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 new household members who are 6 years and older. 160 2584 1 Nursery 2 Primary 3 Secondary 4 Post-sec. Sysmiss Highest grade completed - Years Highest grade completed - Years Highest grade completed - Years Highest grade completed - Years Highest grade completed - Years What is the highest grade that [NAME] has completed? Number of years. All new household members who are 6 years and older. 159 2585 Can read a newspaper Can read a newspaper Can read a newspaper Can read a newspaper Can read a newspaper Can [NAME] read a newspaper? All new household members who are 6 years and older. 150 2594 1 Yes 2 No Sysmiss Can write a letter Can write a letter Can write a letter Can write a letter Can write a letter Can [NAME] write a letter? All new household members who are 6 years and older. 150 2594 1 Yes 2 No Sysmiss Can do mathematical calculations Can do mathematical calculations Can do mathematical calculations Can do mathematical calculations Can do mathematical calculations Can [NAME] do mathematical calculations (either mental or written)? All new household members who are 6 years and older. 150 2594 1 Yes 2 No Sysmiss Has had any technical or professional training Has had any technical or professional training Has had any technical or professional training Has had any technical or professional training Has had any technical or professional training In addition has [NAME] had any technical or professional training? If answe is 4 > Go to next person. All new household members who are 6 years and older. 173 2571 1 Technical 2 Professional 3 On-the-job 4 No Sysmiss How many years of additional training - Year How many years of additional training - Year How many years of additional training - Year How many years of additional training - Year How many years of additional training - Year How many years of additional training? Years. All new household members who are 6 years and older. 8 2736 98 13.125 34.307 How many months of additional training - Months How many months of additional training - Months How many months of additional training - Months How many months of additional training - Months How many months of additional training - Months How many years of additional training? Months All new household members who are 6 years and older. 8 2736 98 14.125 33.993 Line number Line number Line number Line number Line number All those individuals who have ever attended school (from question 2 in Section I) and are between the ages of 6 and 25 27 2717 ID code ID code ID code ID code ID code ID All those individuals who have ever attended school (from question 2 in Section I) and are between the ages of 6 and 25 2714 30 Still attending school or educational institution Still attending school or educational institution Still attending school or educational institution Still attending school or educational institution Still attending school or educational institution 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 are between the ages of 6 and 25 as well as any other children in school. 2714 30 1 Yes 2 No 8 9 Sysmiss Attending the same school Attending the same school Attending the same school Attending the same school Attending the same school Is [NAME] attending the same school that he/she was attending during [round 1]? All those individuals who are between the ages of 6 and 25 as well as any other children in school. 2016 728 1 Yes 2 No 3 Not in school last time 8 Sysmiss Hours actually spend in school last week in total Hours actually spend in school last week in total Hours actually spend in school last week in total Hours actually spend in school last week in total Hours actually spend in school last week in total How many hours did [NAME] actually spend in school last week in total? All those individuals who are between the ages of 6 and 25 as well as any other children in school. 2016 728 99 31.08 28.53 3 4 5 6 7 8 9 10 11 12 14 15 16 18 20 21 24 25 28 30 32 35 36 38 40 43 44 45 60 63 70 99 Don't know Sysmiss Is this # of hours usually spend at school during a week Is this # of hours usually spend at school during a week Is this # of hours usually spend at school during a week Is this # of hours usually spend at school during a week Is this # of hours usually spend at school during a week 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 are between the ages of 6 and 25 as well as any other children in school. 1985 759 1 Yes 2 No 8 9 Sysmiss Why did not attend school for normal hours last week Why did not attend school for normal hours last week Why did not attend school for normal hours last week Why did not attend school for normal hours last week Why did not attend school for normal hours last week Why did [NAME] not attend school for the normal hours last week? Go to 15 (qed15 - variable name in dataset). All those individuals who are between the ages of 6 and 25 as well as any other children in school. 1069 1675 1 98 19.894 33.663 1 Own illness 2 Caring for sick family member 3 Working at home 4 Working outside home 5 Holiday(s) 6 Funeral/mourning 7 Non-payment of fees 8 Teacher missing 9 Other (specify) 10 Too young 98 Sysmiss Why did not attend (Other) Why did not attend (Other) Why did not attend (Other) Why did not attend (Other) Why did not attend (Other) Why did [NAME] not attend school for the normal hours last week? Other(Specify). All those individuals who are between the ages of 6 and 25 as well as any other children in school. 129 Attended school at all since round 1 Attended school at all since round 1 Attended school at all since round 1 Attended school at all since round 1 Attended school at all since round 1 Has [NAME] attended school at all since [round 1]? If answer is 2 > Go to 17 (qed17 - variable name in dataset). All those individuals who are between the ages of 6 and 25 as well as any other children in school. 695 2049 1 Yes 2 No 8 Sysmiss Since round 1: Days when did not attend school Since round 1: Days when did not attend school Since round 1: Days when did not attend school Since round 1: Days when did not attend school Since round 1: Days when did not attend school Since [round 1], have there been any days when [NAME] did not attend school (for reasons other than holiday)? If answer is 2 > Go to next person. All those individuals who are between the ages of 6 and 25 as well as any other children in school. 2088 656 1 Yes 2 No 8 9 Sysmiss How many days did not attend school How many days did not attend school How many days did not attend school How many days did not attend school How many days did not attend school For how many days did [NAME] not attend school, since [round 1]? All those individuals who are between the ages of 6 and 25 as well as any other children in school. 839 1905 1 180 10.684 23 Why did not attend school Why did not attend school Why did not attend school Why did not attend school Why did not attend school Why did [NAME] not attend school (on these days)? All those individuals who are between the ages of 6 and 25 as well as any other children in school. 1456 1288 1 99 5.389 6.774 1 Own illness 2 Caring for sick family member 3 Working at home 4 Working outside home 6 Funeral/mourning 7 Non-payment of fees 8 Teacher missing 9 Other (specify) 10 Too young 98 99 Sysmiss Why did not attend school (Other) Why did not attend school (Other) Why did not attend school (Other) Why did not attend school (Other) Why did not attend school (Other) Why did [NAME] not attend school (on these days)? Other (Specify). All those individuals who are between the ages of 6 and 25 as well as any other children in school. 341 Household ID Household ID Household ID Household ID Household ID 3127 103 99999 50504.657 29422.501 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 3127 1 2 3 4 5 7 8 9 10 Education expenditure module Education expenditure module Education expenditure module Education expenditure module Education expenditure module 3127 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 3127 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 3127 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 3127 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 3127 Children in school Children in school Children in school Children in school Children in school 3127 13 4 1.819 Line number Line number Line number Line number Line number 30 3097 ID Code of child ID Code of child ID Code of child ID Code of child ID Code of child ID Code of child 3127 2a. Second term 2a. Second term 2a. Second term 2a. Second term 2a. Second term Total expenses of you and your spouse on [ID’s] education in second term 2004 (May – Aug). Children who were in school during the past 6 months (including children living away from the household). 3127 99999 1474.492 4171.502 2b. Third term 2b. Third term 2b. Third term 2b. Third term 2b. Third term Total expenses of you and your spouse on [ID’s] education in third term 2004 (Sept – Nov). Children who were in school during the past 6 months (including children living away from the household). 3127 72000 1101.209 3596.162 3. Child receive scholarship in 2nd term 3. Child receive scholarship in 2nd term 3. Child receive scholarship in 2nd term 3. Child receive scholarship in 2nd term 3. Child receive scholarship in 2nd term Did [ID] receive a scholarship from an organization or any in-kind support (e.g. free food, free uniforms) for any part of his/her school expenses in 2nd term 2004? If answer is 2 > Go to 4 (ee4 - variable name in dataset). Children who were in school during the past 6 months (including children living away from the household). 3127 1 Yes 2 No 8 9 3a. Amount of support received 3a. Amount of support received 3a. Amount of support received 3a. Amount of support received 3a. Amount of support received Amount of support that [NAME] received. Children who were in school during the past 6 months (including children living away from the household). 55 3072 98 80000 6575.855 13216.686 3b. Supporting institution 3b. Supporting institution 3b. Supporting institution 3b. Supporting institution 3b. Supporting institution Supporting institution (if more than one, use main contributor). Children who were in school during the past 6 months (including children living away from the household). 55 3072 1 cooperative union 2 school 3 community funds 4 church/religious group 5 government 6 other private organization/group (specify) 7 other (specify) 8 Sysmiss Supporting institution (Other) Supporting institution (Other) Supporting institution (Other) Supporting institution (Other) Supporting institution (Other) Children who were in school during the past 6 months (including children living away from the household). 3c. Why scholarship was given 3c. Why scholarship was given 3c. Why scholarship was given 3c. Why scholarship was given 3c. Why scholarship was given What was the reason why the scholarship was given? Children who were in school during the past 6 months (including children living away from the household). 55 3072 1 Family unable to pay 2 Merit/competition 3 School program/charity 4 Other (specify) 8 Sysmiss Why scholarship was given (Other) Why scholarship was given (Other) Why scholarship was given (Other) Why scholarship was given (Other) Why scholarship was given (Other) What was the reason why the scholarship was given? Other (specify). Children who were in school during the past 6 months (including children living away from the household). 5 4. Child receive scholarship in 3rd term 4. Child receive scholarship in 3rd term 4. Child receive scholarship in 3rd term 4. Child receive scholarship in 3rd term 4. Child receive scholarship in 3rd term Did [ID] receive a scholarship from an organization or any in-kind support (e.g. free food, free uniforms) for any part of his/her school expenses in 3rd term 2004? If answer is 2 > Go to 5 (ee5 - variable name in dataset). Children who were in school during the past 6 months (including children living away from the household). 3127 1 Yes 2 No 8 9 4a. Amount of support received 4a. Amount of support received 4a. Amount of support received 4a. Amount of support received 4a. Amount of support received Amount of support that [NAME] received. Children who were in school during the past 6 months (including children living away from the household). 61 3066 98 80000 4572.607 11319.191 4b. Supporting institution 4b. Supporting institution 4b. Supporting institution 4b. Supporting institution 4b. Supporting institution Supporting institution (if more than one, use main contributor). Children who were in school during the past 6 months (including children living away from the household). 60 3067 1 cooperative union 2 school 3 community funds 4 church/religious group 5 government 6 other private organization/group (specify) 7 other (specify) 8 Sysmiss Supporting institution (Other) Supporting institution (Other) Supporting institution (Other) Supporting institution (Other) Supporting institution (Other) Supporting institution (if more than one, use main contributor). Other (specify). Children who were in school during the past 6 months (including children living away from the household). 4c. Why scholarship was given 4c. Why scholarship was given 4c. Why scholarship was given 4c. Why scholarship was given 4c. Why scholarship was given What was the reason why the scholarship was given? Children who were in school during the past 6 months (including children living away from the household). 60 3067 1 Family unable to pay 2 Merit/competition 3 School program/charity 4 Other (specify) 8 Sysmiss Why scholarship was given (Other) Why scholarship was given (Other) Why scholarship was given (Other) Why scholarship was given (Other) Why scholarship was given (Other) What was the reason why the scholarship was given? Other (specify). Children who were in school during the past 6 months (including children living away from the household). 4 5. Anyone else contributed towards the education of child in 5. Anyone else contributed towards the education of child in 5. Anyone else contributed towards the education of child in 5. Anyone else contributed towards the education of child in 5. Anyone else contributed towards the education of child in Has anyone else in your household (except your spouse) contributed towards the education of [ID] in 2nd term 2004? If answer is 2 > Go to 6 (ee6 - variable name in dataset). Children who were in school during the past 6 months (including children living away from the household). 3127 1 Yes 2 No 8 9 5a. The amount of support that was received 5a. The amount of support that was received 5a. The amount of support that was received 5a. The amount of support that was received 5a. The amount of support that was received What was the amount of support that [ID] received from this person? Children who were in school during the past 6 months (including children living away from the household). 186 2941 10 20000 1006.054 2446.933 5b. Who was the main contibutor 5b. Who was the main contibutor 5b. Who was the main contibutor 5b. Who was the main contibutor 5b. Who was the main contibutor Who was the main contributor? Enter HHID of the main contributor. Children who were in school during the past 6 months (including children living away from the household). 186 2941 6. Anyone else contributed towards the education of child in 6. Anyone else contributed towards the education of child in 6. Anyone else contributed towards the education of child in 6. Anyone else contributed towards the education of child in 6. Anyone else contributed towards the education of child in Has anyone else in your household (except your spouse) contributed towards the education of [ID] in 3rd term 2004? If answer is 2 > Go to 7 (ee7 - variable name in dataset). Children who were in school during the past 6 months (including children living away from the household). 3124 3 1 Yes 2 No 8 9 Sysmiss 6a. The amount of support that was received 6a. The amount of support that was received 6a. The amount of support that was received 6a. The amount of support that was received 6a. The amount of support that was received What was the amount of support that [ID] received from this person? Children who were in school during the past 6 months (including children living away from the household). 183 2944 20000 747.279 2049.027 6b. Who was the main contibutor 6b. Who was the main contibutor 6b. Who was the main contibutor 6b. Who was the main contibutor 6b. Who was the main contibutor Who was the main contributor? Enter HHID of the main contributor. Children who were in school during the past 6 months (including children living away from the household). 182 2945 7. Anyone from outside contributed towards the education of 7. Anyone from outside contributed towards the education of 7. Anyone from outside contributed towards the education of 7. Anyone from outside contributed towards the education of 7. Anyone from outside contributed towards the education of Has any person outside of your household contributed towards the education of [ID] in 2nd term 2004? If answer is 2 > Go to 8 (ee8 - variable name in dataset). Children who were in school during the past 6 months (including children living away from the household). 3126 1 1 Yes 2 No 8 9 Sysmiss 7a. The amount of support that was received 7a. The amount of support that was received 7a. The amount of support that was received 7a. The amount of support that was received 7a. The amount of support that was received What was the amount of support that [ID] received from this person? Children who were in school during the past 6 months (including children living away from the household). 360 2767 10 20000 1384.786 3146.905 7b. Who was the main contibutor 7b. Who was the main contibutor 7b. Who was the main contibutor 7b. Who was the main contibutor 7b. Who was the main contibutor Who was the main contributor? Enter IRID of the main contributor. Children who were in school during the past 6 months (including children living away from the household). 357 2770 8. Anyone from outside contributed towards the education of 8. Anyone from outside contributed towards the education of 8. Anyone from outside contributed towards the education of 8. Anyone from outside contributed towards the education of 8. Anyone from outside contributed towards the education of Has any person outside of your household contributed towards the education of [ID] in 3rd term 2004? If answer is 2 > Go to 9 (ee9 - variable name in dataset). Children who were in school during the past 6 months (including children living away from the household). 3125 2 1 Yes 2 No 8 9 Sysmiss 8a. The amount of support that was received 8a. The amount of support that was received 8a. The amount of support that was received 8a. The amount of support that was received 8a. The amount of support that was received What was the amount of support that [ID] received from this person? Children who were in school during the past 6 months (including children living away from the household). 349 2778 5 20000 1059.908 2652.818 8b. Who was the main contibutor 8b. Who was the main contibutor 8b. Who was the main contibutor 8b. Who was the main contibutor 8b. Who was the main contibutor Who was the main contributor? Enter IRID of the main contributor. Children who were in school during the past 6 months (including children living away from the household). 331 2796 9. How frequently missed days of school in past year 9. How frequently missed days of school in past year 9. How frequently missed days of school in past year 9. How frequently missed days of school in past year 9. How frequently missed days of school in past year How frequently has [ID] missed days of school in the past year (for any reason)? Children who were in school during the past 6 months (including children living away from the household). 3127 1 Never 2 Very few times 3 Almost half the time 4 Regularly 8 9 10. In past 1 year had difficult in paying for school expens 10. In past 1 year had difficult in paying for school expens 10. In past 1 year had difficult in paying for school expens 10. In past 1 year had difficult in paying for school expens 10. In past 1 year had difficult in paying for school expens In the past one year, have you had difficulty paying for school expenses (fees, uniforms, supplies, etc.) of any of the children living in your household, even after receiving any scholarships or assistance from relatives? If answer is 2 > End. Children who were in school during the past 6 months (including children living away from the household). 3127 1 Yes 2 No 8 9 11. Main reason had difficulty in paying 11. Main reason had difficulty in paying 11. Main reason had difficulty in paying 11. Main reason had difficulty in paying 11. Main reason had difficulty in paying What was the main reason you had difficulty paying? Children who were in school during the past 6 months (including children living away from the household). 1493 1634 1 Lack of employment 2 Somebody was sick 3 Bad harvest on shamba 4 Business failure 5 Other 8 Sysmiss Main reason had difficulty (Other) Main reason had difficulty (Other) Main reason had difficulty (Other) Main reason had difficulty (Other) Main reason had difficulty (Other) What was the main reason you had difficulty paying? Other (specify). Children who were in school during the past 6 months (including children living away from the household). 119 12. Any child miss school as aresult 12. Any child miss school as aresult 12. Any child miss school as aresult 12. Any child miss school as aresult 12. Any child miss school as aresult Did any children miss school as a result of the difficulty in paying for school expenses? If answer is 2 > End. Children who were in school during the past 6 months (including children living away from the household). 1493 1634 1 Yes 2 No 8 9 Sysmiss 13. Children missed school 13. Children missed school 13. Children missed school 13. Children missed school 13. Children missed school Which children missed school? A. Record ID numbers of all children. Children who were in school during the past 6 months (including children living away from the household). 1108 2019 13. Children missed school 13. Children missed school 13. Children missed school 13. Children missed school 13. Children missed school Which children missed school? B. Record ID numbers of all children. Children who were in school during the past 6 months (including children living away from the household). 521 2606 13. Children missed school 13. Children missed school 13. Children missed school 13. Children missed school 13. Children missed school Which children missed school? C. Record ID numbers of all children. Children who were in school during the past 6 months (including children living away from the household). 219 2908 13. Children missed school 13. Children missed school 13. Children missed school 13. Children missed school 13. Children missed school Which children missed school? D. Record ID numbers of all children. Children who were in school during the past 6 months (including children living away from the household). 99 3028 Household ID Household ID Household ID Household ID Household ID 1606 103 99999 50026.047 29070.646 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 1606 1 2 3 4 5 6 7 8 9 10 Family background module Family background module Family background module Family background module Family background module 1606 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 1606 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 1606 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 1606 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 1606 First to reside in current village First to reside in current village First to reside in current village First to reside in current village First to reside in current village First, I would like to ask you some questions about yourself and your immediate family. Are you the first of your family to reside in your current village? If answer is 1 > Go to 3 (fb03 - variable name in dataset). 1606 1 Yes 2 No 8 For many years family been living in village For many years family been living in village For many years family been living in village For many years family been living in village For many years family been living in village For approximately how many years has your family lived in this village? Go to 4 (fb04 - variable name in dataset). 731 875 1 99 65.472 29.307 For how many years been living in village For how many years been living in village For how many years been living in village For how many years been living in village For how many years been living in village For approximately how many years have you lived in this village? 874 732 99 19.374 17.605 Family members live in village Family members live in village Family members live in village Family members live in village Family members live in village How many members of your family (older than 16 years) live in this village? * exclude in-laws. 1605 1 99 6.082 11.275 Family members live within 1 hour's travell by foot Family members live within 1 hour's travell by foot Family members live within 1 hour's travell by foot Family members live within 1 hour's travell by foot Family members live within 1 hour's travell by foot How many members of your family (older than 16) live within one hour’s travel by foot? * Include family members listed in 4. * Exclude in-laws. 1605 1 99 10.963 16.087 Mother tongue Mother tongue Mother tongue Mother tongue Mother tongue What is your mother tongue, i.e. the language you first spoke at home? 1605 1 1 Kalenjin/Nandi 2 Luhya 3 Luo 4 Kisii 5 Kiswahili 6 Other (specify) Sysmiss Mother tongue (Other) Mother tongue (Other) Mother tongue (Other) Mother tongue (Other) Mother tongue (Other) What is your mother tongue, i.e. the language you first spoke at home? Other (specify). 23 Tribe Tribe Tribe Tribe Tribe What is your tribe? 1605 1 1 Kalenjin 2 Luhya 3 Luo 4 Other (specify) 9 Sysmiss Tribe (Other) Tribe (Other) Tribe (Other) Tribe (Other) Tribe (Other) What is your tribe? Other (specify). 34 Sub-tribe Sub-tribe Sub-tribe Sub-tribe Sub-tribe What is your sub-tribe? 1606 1 Nandi 2 Keiyo 3 Kipsigis 4 Bukusu 5 Other (specify) Sysmiss Sub-tribe (Other) Sub-tribe (Other) Sub-tribe (Other) Sub-tribe (Other) Sub-tribe (Other) What is your sub-tribe? Other (specify). Clan Clan Clan Clan Clan What is your clan by birth (for women, before marriage)? 1606 1 Koilegei 2 Kaptalam 3 Kapchepkendi 4 Kaaboch 5 Tibing’ot 6 Kaptumois 7 Kamelilo 8 Kabiangek 9 Kapsiondoek 10 Other (specify) Sysmiss Clan (Other) Clan (Other) Clan (Other) Clan (Other) Clan (Other) What is your clan by birth (for women, before marriage)? Religion Religion Religion Religion Religion What is your religion/denomination? 1605 1 98 12.056 9.072 No religion 1 Traditional / Tribal Religion 2 Muslim 3 Catholic 4 Anglican 5 Apostolic or New Apostolic Church 6 Assembly of God Church 7 Baptist Church 8 Church of Christ 9 Church of God 10 Gospel / New Testament / Injili Church 11 Harvest Church / Center / Revival 12 Hosana Church 13 Jehovah's Witnesses 14 Legio Maria Church 15 Miracle Church / Center / Revival 16 NENO or Local Believers Church 17 Pentecostal Church 18 Roho Church 19 Salvation Army Church 20 Seventh Day Adventists 21 Voice of Salvation Church 22 Africa Inland Church 23 Quaker/friends Church 24 Other Age when left parent's house Age when left parent's house Age when left parent's house Age when left parent's house Age when left parent's house At what age did you first leave your parents’ house (excluding boarding or fostering)? 1605 1 88 still living with parents Clan, village, religious officece hold Clan, village, religious officece hold Clan, village, religious officece hold Clan, village, religious officece hold Clan, village, religious officece hold Please list any clan, village, political, or religious offices/positions (not occupations) you hold. If none, write 0 . If answer is 0 > Go to section II (famback_II - name of dataset). 1605 1 Previllage office gives Previllage office gives Previllage office gives Previllage office gives Previllage office gives Please describe any privilege this office gives you. 259 1347 Bilogical parents married to each other Bilogical parents married to each other Bilogical parents married to each other Bilogical parents married to each other Bilogical parents married to each other Are/were your biological father/mother married to each other? 1606 1 Yes 2 No 9 Land parents own - Quantity Land parents own - Quantity Land parents own - Quantity Land parents own - Quantity Land parents own - Quantity How much land do/did your father and mother own? Quantity. 1606 600 27.239 39.324 Land parents own - Unit Land parents own - Unit Land parents own - Unit Land parents own - Unit Land parents own - Unit How much land do/did your father and mother own? Unit codes. 1570 36 1 acres 2 hectares 3 square-feet 4 square-meters 8 9 Sysmiss Lived with anyone away from parents Lived with anyone away from parents Lived with anyone away from parents Lived with anyone away from parents Lived with anyone away from parents While you were a child growing up did you live with anyone away from your parents for at least a year? If answer is 2 > Go to next section (fbd01 - variable name in dataset). 1606 1 Yes 2 No 8 9 Times lived away from parents Times lived away from parents Times lived away from parents Times lived away from parents Times lived away from parents 441 1165 1 2 1.016 0.125 Have inherited any land Have inherited any land Have inherited any land Have inherited any land Have inherited any land Before proceeding, I would like to remind you that all the information you provide in this interview will remain confidential. Have you inherited any land or do you anticipate inheriting any land? Probe for anticipation of land inheritances from parents & relatives. If answer is 2 > Go to next section (fbe01 - variable name in dataset). 1606 1 Yes 2 No 8 9 Count of land Count of land Count of land Count of land Count of land 809 797 1 2 1.016 0.126 Inherited other things Inherited other things Inherited other things Inherited other things Inherited other things Have you inherited any other things (such as a house, livestock, farm equipment, or large household items) or do you anticipate any such inheritance? If answer is 2 > Go to next section. 1606 1 Yes 2 No 8 9 Count of other things Count of other things Count of other things Count of other things Count of other things 436 1170 4 1.31 0.532 Household ID Household ID Household ID Household ID Household ID 3212 103 99999 50026.047 29066.119 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 3212 1 2 3 4 5 6 7 8 9 10 Family background module Family background module Family background module Family background module Family background module 3212 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 3212 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 3212 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 3212 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 3212 Father/Mother Father/Mother Father/Mother Father/Mother Father/Mother Now, I would like to ask you about your biological parents. 3212 1 Father 2 Mother Alive Alive Alive Alive Alive Is your father/mother alive? 3212 1 Yes 2 No 9 99 Don't Know Age Age Age Age Age How old is your father/mother? Go to 5 (fbb05a - variable name in dataset). 1777 1435 99 Don’t Know Age when died Age when died Age when died Age when died Age when died How old was your father/mother when he/she died? 1415 1797 99 Don’t know How died How died How died How died How died How did your father/mother die? 1414 1798 1 Old age 2 Disease/malaria 3 Disease/HIV/AIDS 4 Other disease/illness (specify) 5 Accident 6 Homicide 7 Other (specify) 8 9 Sysmiss How died (Other) How died (Other) How died (Other) How died (Other) How died (Other) How did your father/mother die? Other (specify). 786 District born District born District born District born District born In which district was your father/mother born? 3212 1 Uasin-Gishu 2 Nandi 3 Keiyo 4 Kericho 5 Kakamega 6 Other (specify) 9 District born (Other) District born (Other) District born (Other) District born (Other) District born (Other) In which district was your father/mother born? Other (specify). 369 District lived most of the life District lived most of the life District lived most of the life District lived most of the life District lived most of the life In which district has/had your father/mother lived most of his/her life? 3212 1 Uasin-Gishu 2 Nandi 3 Keiyo 4 Kericho 5 Kakamega 6 Other (specify) 8 9 District lived most of the life (Other) District lived most of the life (Other) District lived most of the life (Other) District lived most of the life (Other) District lived most of the life (Other) In which district has/had your father/mother lived most of his/her life? Other (specify). 333 Years of school complete - Level Years of school complete - Level Years of school complete - Level Years of school complete - Level Years of school complete - Level How many years of school did your father/mother complete? Level. * Record level and years. 3212 1 Nursery 2 Primary 3 Secondary 4 Post-sec. 9 Years of school complete - Years Years of school complete - Years Years of school complete - Years Years of school complete - Years Years of school complete - Years How many years of school did your father/mother complete? Years. * Record level and years. 3212 None 99 Don't know Main occupation Main occupation Main occupation Main occupation Main occupation What is/was your father’s/mother’s main occupation when they were working? 3212 1 Crop farmer 2 Animal farmer 3 Housewife 4 Trader/merchant/salesperson 5 Transport worker 6 Construction worker 7 Teacher/education professional 8 Health professional/TBA/trad. Healer 9 Secretary/clerical 10 Factory worker 11 Restaurant/bar/hotel 12 Skilled trades (carpenter, tailor, etc.) 13 Preacher/pastor 14 Village elder 15 Domestic worker 16 Civil Servant/Government 17 Other (specify) 88 No activity/unemployed 98 99 Don’t Know Occupation - Other Occupation - Other Occupation - Other Occupation - Other Occupation - Other What is/was your father's/mother's main occupation when they were working? Other (specify). 41 Wives father has Wives father has Wives father has Wives father has Wives father has How many wives does/did your father have (including deceased wives)? If only one wife > Go to 11 (fbb11 - variable name in dataset). 1605 1607 9 1.662 1.221 never married Marital rank mother has Marital rank mother has Marital rank mother has Marital rank mother has Marital rank mother has Which marital ranking does/did your mother have? 684 2528 8 1.88 1.535 never married Total children Total children Total children Total children Total children What is the total number of children that you father/mother had? *count children from all partners. *number of children should include children not with your mother/father as well (half brothers and sisters). 3211 1 99 9.87 11.832 Tribe Tribe Tribe Tribe Tribe What tribe does/did your father/mother belong to? 3211 1 1 Kalenjin 2 Luhya 3 Luo 4 Other (specify) 8 9 Sysmiss Tribe (Other) Tribe (Other) Tribe (Other) Tribe (Other) Tribe (Other) What tribe does/did your father/mother belong to? Other (specify). 80 Sub-tribe Sub-tribe Sub-tribe Sub-tribe Sub-tribe What subtribe does/did your father/mother belong to? 3212 1 Nandi 2 Keiyo 3 Kipsigis 4 Bukusu 5 Other (specify) Sysmiss Sub-tribe (Other) Sub-tribe (Other) Sub-tribe (Other) Sub-tribe (Other) Sub-tribe (Other) What subtribe does/did your father/mother belong to? Other (specify). Unpaid office belong to Unpaid office belong to Unpaid office belong to Unpaid office belong to Unpaid office belong to What unpaid offices/positions does/did your father/mother belong to? Brief description of office. 3211 1 None Household ID Household ID Household ID Household ID Household ID 448 389 99962 50599.705 29519.294 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 448 1 2 3 4 5 8 Family background module Family background module Family background module Family background module Family background module 448 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 448 1 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 448 1 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 448 1 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 448 2004 Count Count Count Count Count 2 446 Age lived away Age lived away Age lived away Age lived away Age lived away Ages at which you started living away from parents 448 99 9.237 5.775 Relationship with person lived with Relationship with person lived with Relationship with person lived with Relationship with person lived with Relationship with person lived with Relationship of person you lived with? 448 1 Self 2 Spouse 3 Son 4 Daughter 5 Father 6 Mother 7 Grandson 8 Granddaughter 9 Grandfather 10 Grandmother 11 Brother 12 Sister 13 Uncle 14 Aunt 15 Co-wife 16 Cousin 17 Niece 18 Nephew 19 Stepchild 20 Foster child 30 Local Friend/Neighbor 31 Non-resident Friend 32 Village head 33 Lineage head 34 Househelper 35 Employee 36 Employer 37 Landlord 38 Tenant/Renter 39 Priest 40 Trader 41 Other (specify) 99 Don’t Know 103 Son in law 104 Daughter in law 105 Father in law 106 Mother in law 110 Grandmother in law 111 Brother in law 112 Sister in law Relationship (Other) Relationship (Other) Relationship (Other) Relationship (Other) Relationship (Other) Relationship of person you lived with? Other (specify). 5 District of person lived with District of person lived with District of person lived with District of person lived with District of person lived with District of person you lived with? 448 1 Uasin-Gishu 2 Nandi 3 Keiyo 4 Kericho 5 Kakamega 6 Other (specify) District - Other District - Other District - Other District - Other District - Other District of person you lived with? Other (specify). 63 Purpose of fostering Purpose of fostering Purpose of fostering Purpose of fostering Purpose of fostering Purpose of fostering? 448 1 Orphaned 2 Work/househelp 3 Schooling 4 Not enough food 5 Care for sick person 6 Other (specify) 9 purpose - Other purpose - Other purpose - Other purpose - Other purpose - Other Purpose of fostering? Other (specify). 147 Main occupation of person lived with Main occupation of person lived with Main occupation of person lived with Main occupation of person lived with Main occupation of person lived with What was the main occupation of the people you were staying with? 448 1 98 4.462 9.373 1 Crop farmer 2 Animal farmer 3 Housewife 4 Trader/merchant/salesperson 5 Transport worker 6 Construction worker 7 Teacher/education professional 8 Health professional/TBA/trad. Healer 9 Secretary/clerical 10 Factory worker 11 Restaurant/bar/hotel 12 Skilled trades (carpenter, tailor, etc.) 13 Preacher/pastor 14 Village elder 15 Domestic worker 16 Civil Servant/Government 17 Other (specify) 88 No activity/unemployed 99 Don’t Know Main occupation - Other Main occupation - Other Main occupation - Other Main occupation - Other Main occupation - Other What was the main occupation of the people you were staying with? Other (specify). 2 Foster parents living standard lower Foster parents living standard lower Foster parents living standard lower Foster parents living standard lower Foster parents living standard lower Was the foster parents’ living standard lower, higher, or same as your parents’ living standard? 448 1 Lower than 2 Same as 3 Higher than 8 9 99 Don’t know Household ID Household ID Household ID Household ID Household ID 822 103 99999 49281.382 28732.319 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 822 1 2 3 5 8 10 Family background module Family background module Family background module Family background module Family background module 822 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 822 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 822 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 822 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 822 Count Count Count Count Count 822 Month received Month received Month received Month received Month received Date Received (or anticipated). Month. 822 Year received Year received Year received Year received Year received Date Received (or anticipated). Year. 822 HHID/IRID of person who gave land HHID/IRID of person who gave land HHID/IRID of person who gave land HHID/IRID of person who gave land HHID/IRID of person who gave land HHID or IRID Code of the person who gave or is giving the land. 821 1 Size of land - Quantity Size of land - Quantity Size of land - Quantity Size of land - Quantity Size of land - Quantity What is the size of the land inheritance? Quantity. 822 88 DK (future) 99 DK (past) Size of land - Unit Size of land - Unit Size of land - Unit Size of land - Unit Size of land - Unit What is the size of the land inheritance? Unit. 817 5 1 acres 2 hectares 3 square-feet 4 square-meters 8 Sysmiss Which district is land Which district is land Which district is land Which district is land Which district is land Which district is the land in? 822 1 Uasin-Gishu 2 Nandi 3 Keiyo 4 Kericho 5 Kakamega 6 Other (specify) Which district - Other Which district - Other Which district - Other Which district - Other Which district - Other Which district is the land in? Other (specify). 60 Current value of the land Current value of the land Current value of the land Current value of the land Current value of the land What is the current value of the land? 822 2 30000000 613045.449 1476089.672 Household ID Household ID Household ID Household ID Household ID 571 103 99999 50454.525 28372.439 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 571 1 2 3 8 Family background module Family background module Family background module Family background module Family background module 571 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 571 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 571 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 571 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 571 Count Count Count Count Count 4 567 1 2 1.25 0.5 Month received Month received Month received Month received Month received Date Received (or anticipated). Month. 571 88 DK (future) 99 DK (past) Year received Year received Year received Year received Year received Date Received (or anticipated). Year. 571 88 DK (future) 99 DK (past) HHID/IRID of person who gave HHID/IRID of person who gave HHID/IRID of person who gave HHID/IRID of person who gave HHID/IRID of person who gave HHID or IRID Code of the person who gave or is giving. 567 4 Inheritance a house Inheritance a house Inheritance a house Inheritance a house Inheritance a house Is this inheritance a house? 571 1 Yes 2 No Which district is house Which district is house Which district is house Which district is house Which district is house Which district is the house in? Go to 7 (fbe07 - variable name in dataset). 179 392 1 Uasin-Gishu 2 Nandi 3 Keiyo 4 Kericho 5 Kakamega 6 Other (specify) 8 Sysmiss Which district - Other Which district - Other Which district - Other Which district - Other Which district - Other Which district is the house in? Other (specify). 15 What is the item What is the item What is the item What is the item What is the item What is this item? 571 1 98 32.405 45.273 1 2 3 4 5 98 Current value of the inheritance Current value of the inheritance Current value of the inheritance Current value of the inheritance Current value of the inheritance What was/is the value of this inheritance? 571 20 2000000 45808.916 148253.039 Household ID Household ID Household ID Household ID Household ID 56007 103 99999 50427.733 28901.093 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 56007 1 2 3 4 5 7 8 9 10 Food consumption Module Food consumption Module Food consumption Module Food consumption Module Food consumption Module 41148 14859 1 Yes 2 No Sysmiss Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 56007 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 41148 14859 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 41148 14859 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 41148 14859 Item code Item code Item code Item code Item code Ask for all of the following crops/livestock. 56007 1 Tea, coffee, or cocoa 2 Maize 3 Wheat 4 Millet or sorghum 5 Rice 6 Beans, peas, cowpeas, other pulses 7 Groundnuts 8 Sunflower seeds 9 Avocado 10 Sugar, candy, honey, or sugarcane 11 Yams or sweet potatoes 12 Cassava 13 Irish Potatoes 14 Sukuma wiki 15 Spinach 16 Capsicums/green peppers 17 Tomatoes 18 Onions 19 Eggplant 20 Cabbage 21 Carrots 22 Chillies 23 Bananas 24 Mangoes 25 Oranges/Citrus 26 Pineapple 27 Other veg./fruits (specify) 28 Chicken, duck, other poultry 29 Beef 30 Mutton (goat) 31 Pork 32 Lamb (sheep) 33 Rabbit 34 Turkey 35 Other livestock (specify) 36 Eggs (all birds) 37 Fresh milk 38 Yogurt (mala), cheese, other milk product 39 Wheat flour, bread 40 Cooking oils/fats 41 Baby food, excluding milk 42 Snacks 43 Milk powder 44 Tinned meats, fish, vegs., fruit 45 Other prepared foods consumed at home 46 Spices 47 Fish 48 Other non-seasonal items (specify) Item code is created from an item list in the questionnaire. Home production "Tea or coffee [taht you grow and consume]" is recoded as "Tea, coffee, or cocoa". Home production "Honey or sugarcane" is recoded as "Sugar, candy, honey, or sugarcane". Home production "Chicken eggs" is recoded as "Eggs (all birds)". Purchased "Milk product" is recoded as "Yogurt (mala), cheese, other milk product". Has members eaten any foods grown by household Has members eaten any foods grown by household Has members eaten any foods grown by household Has members eaten any foods grown by household 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). 41148 14859 1 Yes 2 No Sysmiss HH members eaten HH members eaten HH members eaten HH members eaten 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. 37908 18099 1 Yes 2 No 8 9 Sysmiss HH members eaten (Specify) HH members eaten (Specify) HH members eaten (Specify) HH members eaten (Specify) HH members eaten (Specify) 736 How much entire hh consume (Quantity) How much entire hh consume (Quantity) How much entire hh consume (Quantity) How much entire hh consume (Quantity) How much entire hh consume (Quantity) How much did the entire household consume in the past 4 weeks? Quantity. 6543 49464 50 150000 1978.97 5024.72 How much entire hh consume (Unit codes) How much entire hh consume (Unit codes) How much entire hh consume (Unit codes) How much entire hh consume (Unit codes) How much entire hh consume (Unit codes) How much did the entire household consume in the past 4 weeks? Unit Codes. 6540 49467 1 Grams 2 Kilograms 3 Goro goros (2 Kgs.) 4 Debbes 5 Litres 6 Bunches 7 Bags/Sacks 8 Pieces 9 Tins 10 Dozens 11 Other (specify) 98 Sysmiss How much would it have cost How much would it have cost How much would it have cost How much would it have cost How much would it have cost How much would it have cost to buy this total quantity? Value in KSh. Go to next item. 6540 49467 1 15000 302.865 478.664 Purchased Purchased Purchased Purchased 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. 29718 26289 1 Yes 2 No 8 9 Sysmiss Purchased (Specify) Purchased (Specify) Purchased (Specify) Purchased (Specify) Purchased (Specify) 575 How much purchased (Quantity) How much purchased (Quantity) How much purchased (Quantity) How much purchased (Quantity) How much purchased (Quantity) How much did the entire household purchase in the past 4 weeks? Quantity. 8558 47449 25 50000 1128.615 4304.579 How much purchased (unit) How much purchased (unit) How much purchased (unit) How much purchased (unit) How much purchased (unit) How much did the entire household purchase in the past 4 weeks? Unit. 8558 47449 1 98 5.343 3.696 1 Grams 2 Kilograms 3 Goro goros (2 Kgs.) 4 Debbes 5 Litres 6 Bunches 7 Bags/Sacks 8 Pieces 9 Tins 10 Dozens 11 Other (specify) 98 Sysmiss How much did it cost How much did it cost How much did it cost How much did it cost How much did it cost How much did it cost to buy the total quantity they ate? Go to next item. 8558 47449 1 4000 114.348 197.592 Purchased Purchased Purchased Purchased 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. 26289 29718 1 Yes 2 No 8 9 Sysmiss Purchased (Specify) Purchased (Specify) Purchased (Specify) Purchased (Specify) Purchased (Specify) 17 How much purchased (Quantity) How much purchased (Quantity) How much purchased (Quantity) How much purchased (Quantity) How much purchased (Quantity) How much did the entire household purchase in the past 4 weeks? Quantity. 7685 48322 50 250000 8577.899 18280.211 How much purchased (unit) How much purchased (unit) How much purchased (unit) How much purchased (unit) How much purchased (unit) How much did the entire household purchase in the past 4 weeks? Unit. 7685 48322 1 98 3.121 3.36 1 Grams 2 Kilograms 3 Goro goros (2 Kgs.) 4 Debbes 5 Litres 6 Bunches 7 Bags/Sacks 8 Pieces 9 Tins 10 Dozens 11 Other (specify) 98 Sysmiss How much did it cost How much did it cost How much did it cost How much did it cost How much did it cost How much did it cost to buy the total quantity they ate? Go to next item. 7685 48322 3600 190.219 208.107 Household ID Household ID Household ID Household ID Household ID 6457 103 99999 50697.243 29102.19 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 6457 1 2 3 4 5 6 7 8 9 10 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 6457 Health Module Health Module Health Module Health Module Health Module 6457 1 Yes 2 No Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 6457 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 6457 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 6457 Count Section A Count Section A Count Section A Count Section A Count Section A 6457 Count Section B Count Section B Count Section B Count Section B Count Section B 6457 Count Section D Count Section D Count Section D Count Section D Count Section D 6457 Line number Line number Line number Line number Line number All household members. 28 6429 ID Code ID Code ID Code ID Code ID Code ID Code of Individual All household members. 6457 Had any illness during past 4 weeks Had any illness during past 4 weeks Had any illness during past 4 weeks Had any illness during past 4 weeks Had any illness during past 4 weeks 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 (dataset health_b). All household members. 6457 1 Yes, illness 2 Yes, injury 3 Yes, illness and injury 4 No 8 9 How long ago did it start (Amount of time) How long ago did it start (Amount of time) How long ago did it start (Amount of time) How long ago did it start (Amount of time) How long ago did it start (Amount of time) If Illness: How long ago did this illness start? If injury: When did this injury happen? Amount of time. IF MORE THAN ONE, ASK ABOUT MOST RECENT ILLNESS or INJURY. All household members. 1494 4963 1 48 3.821 4.772 How long ago did it start (Time unit) How long ago did it start (Time unit) How long ago did it start (Time unit) How long ago did it start (Time unit) How long ago did it start (Time unit) If Illness: How long ago did this illness start? If injury: When did this injury happen? Time unit. IF MORE THAN ONE, ASK ABOUT MOST RECENT ILLNESS or INJURY. All household members. 1494 4963 1 Minutes 2 Hours 3 Days 4 Weeks 5 Months 6 Year 7 Sysmiss Begin less than 6 months ago Begin less than 6 months ago Begin less than 6 months ago Begin less than 6 months ago Begin less than 6 months ago Did this illness begin less than six months ago? If answer is 1 > Go to 7 (h07 - variable name in dataset). All household members. 1488 4969 1 Yes 2 No 8 Sysmiss Has had any other illness during the past 4 weeks Has had any other illness during the past 4 weeks Has had any other illness during the past 4 weeks Has had any other illness during the past 4 weeks Has had any other illness during the past 4 weeks During the past 4 weeks has [NAME] had any other illness or injuries? If answer is 2 > Go to section B (dataset health_b). All household members. 423 6034 1 Yes 2 No 8 Sysmiss How long ago did it start (Amount of time) How long ago did it start (Amount of time) How long ago did it start (Amount of time) How long ago did it start (Amount of time) How long ago did it start (Amount of time) If Illness: How long ago did this illness start? If injury: When did this injury happen? Amount of time. IF MORE THAN ONE, ASK ABOUT MOST RECENT ILLNESS or INJURY. All household members. 31 6426 1 98 21.581 38.163 How long ago did it start (Time unit) How long ago did it start (Time unit) How long ago did it start (Time unit) How long ago did it start (Time unit) How long ago did it start (Time unit) If Illness: How long ago did this illness start? If injury: When did this injury happen? Time unit. IF MORE THAN ONE, ASK ABOUT MOST RECENT ILLNESS or INJURY. All household members. 31 6426 1 Minutes 2 Hours 3 Days 4 Weeks 5 Months 6 Year 8 Sysmiss Begin less than 6 months ago Begin less than 6 months ago Begin less than 6 months ago Begin less than 6 months ago Begin less than 6 months ago Did this illness begin less than six months ago? If answer is 2 > Go to section B (dataset health_b). All household members. 31 6426 1 Yes 2 No 8 Sysmiss For how many days did suffer For how many days did suffer For how many days did suffer For how many days did suffer For how many days did suffer For how many days did [NAME] suffer from this illness or injury (SINCE DATE THAT ILLNESS BEGAN)? [Number of days] All household members. 1094 5363 150 10.359 20.166 Illness A: Illness A: Illness A: Illness A: Illness A: 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. 1094 5363 1 98 17.149 10.48 1 Diarrhea (acute) 2 Diarrhea (chronic, 1 month or more) 3 Weight loss (major) 4 Fever (acute) 5 Fever (recurring) 6 Skin rash 7 Weakness 8 Severe headache 9 Fainting 10 Chills (feeling hot and cold) 11 Vomiting 12 Cough 13 Productive cough 14 Coughing blood 15 Pain on passing urine 16 Genital sores 17 Mental disorder 18 Abdominal pain 19 Sore throat 20 Difficulty breathing 21 Burn 22 Fracture 23 Wound 24 Child birth 25 Ameobeosis 26 Other (specify) 30 31 32 98 Sysmiss Illness B: Illness B: Illness B: Illness B: Illness B: 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. 677 5780 1 32 14.713 9.698 1 Diarrhea (acute) 2 Diarrhea (chronic, 1 month or more) 3 Weight loss (major) 4 Fever (acute) 5 Fever (recurring) 6 Skin rash 7 Weakness 8 Severe headache 9 Fainting 10 Chills (feeling hot and cold) 11 Vomiting 12 Cough 13 Productive cough 14 Coughing blood 15 Pain on passing urine 16 Genital sores 17 Mental disorder 18 Abdominal pain 19 Sore throat 20 Difficulty breathing 21 Burn 22 Fracture 23 Wound 24 Child birth 25 Ameobeosis 26 Other (specify) 30 31 32 Sysmiss Illness C: Illness C: Illness C: Illness C: Illness C: 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. 269 6188 1 32 14.457 9.292 1 Diarrhea (acute) 2 Diarrhea (chronic, 1 month or more) 3 Weight loss (major) 4 Fever (acute) 5 Fever (recurring) 6 Skin rash 7 Weakness 8 Severe headache 9 Fainting 10 Chills (feeling hot and cold) 11 Vomiting 12 Cough 13 Productive cough 14 Coughing blood 15 Pain on passing urine 16 Genital sores 17 Mental disorder 18 Abdominal pain 19 Sore throat 20 Difficulty breathing 21 Burn 22 Fracture 23 Wound 24 Child birth 25 Ameobeosis 26 Other (specify) 30 31 32 Sysmiss Illness D: Illness D: Illness D: Illness D: Illness D: 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. 56 6401 1 32 18.804 10.64 1 Diarrhea (acute) 2 Diarrhea (chronic, 1 month or more) 3 Weight loss (major) 4 Fever (acute) 5 Fever (recurring) 6 Skin rash 7 Weakness 8 Severe headache 9 Fainting 10 Chills (feeling hot and cold) 11 Vomiting 12 Cough 13 Productive cough 14 Coughing blood 15 Pain on passing urine 16 Genital sores 17 Mental disorder 18 Abdominal pain 19 Sore throat 20 Difficulty breathing 21 Burn 22 Fracture 23 Wound 24 Child birth 25 Ameobeosis 26 Other (specify) 30 31 32 Sysmiss Illness E: Illness E: Illness E: Illness E: Illness E: 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. 9 6448 4 32 17.444 12.37 1 Diarrhea (acute) 2 Diarrhea (chronic, 1 month or more) 3 Weight loss (major) 4 Fever (acute) 5 Fever (recurring) 6 Skin rash 7 Weakness 8 Severe headache 9 Fainting 10 Chills (feeling hot and cold) 11 Vomiting 12 Cough 13 Productive cough 14 Coughing blood 15 Pain on passing urine 16 Genital sores 17 Mental disorder 18 Abdominal pain 19 Sore throat 20 Difficulty breathing 21 Burn 22 Fracture 23 Wound 24 Child birth 25 Ameobeosis 26 Other (specify) 31 32 Sysmiss Illness (Other) Illness (Other) Illness (Other) Illness (Other) Illness (Other) If illness: can you describe the symptoms that [NAME] suffered from during this illness? What is/was wrong? Other (specify). 207 Days unable to carry out activities Days unable to carry out activities Days unable to carry out activities Days unable to carry out activities Days unable to carry out activities For how many days was [NAME] unable to carry out his/her usual activities because of this illness or injury? [Number of days] If none write zero. If answer is 0 > Go to 12 (h12 - variable name in dataset). All household members. 1094 5363 98 2.458 7.215 Person 8 or older Person 8 or older Person 8 or older Person 8 or older Person 8 or older Enumerator: Is this person 8 or older? If answer is 2 > Go to 12 (h12 - variable name in dataset). All household members. 459 5998 1 Yes 2 No 8 9 Sysmiss Who was performing work Who was performing work Who was performing work Who was performing work Who was performing work During [NAME’s] illness who was mainly performing his/her work? Write HHID. 386 6071 97 Person outside home 98 Nobody Anyone been consulted for treating illness Anyone been consulted for treating illness Anyone been consulted for treating illness Anyone been consulted for treating illness Anyone been consulted for treating illness 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 39 (h39 - variable name in dataset). All household members. 1094 5363 1 Yes 2 No Sysmiss Where did first go for advice/treatment Where did first go for advice/treatment Where did first go for advice/treatment Where did first go for advice/treatment Where did first go for advice/treatment Where did [NAME] first go for advice or treatment? If answer is 15 > Go to 20 (h20 - variable name in dataset). All household members. 833 5624 1 99 6.25 5.856 1 National Referral Hosp. (Kenyatta, Moi) 2 Government District/Provincial Hosp. 3 Mosoriot Rural Health Center 4 Government Health Center (exc. Mosoriot) 5 Government dispensary 6 Mission hospital/clinic 7 Other private hospital/clinic 8 Chemist/pharmacy 9 Private doctor (like priv. clinic) 10 Mobile clinic 11 Community health worker 12 Retail shop 13 Herbalist/traditional healer 14 Relative/friend 15 Other (specify) 99 Sysmiss Where did first go for advice/treatment (Other) Where did first go for advice/treatment (Other) Where did first go for advice/treatment (Other) Where did first go for advice/treatment (Other) Where did first go for advice/treatment (Other) Where did [NAME] first go for advice or treatment? Other (specify). 11 How long did it take to travel - Hours How long did it take to travel - Hours How long did it take to travel - Hours How long did it take to travel - Hours How long did it take to travel - Hours How long did it take [NAME] to travel to this establishment? Hours. RECORD TIME FOR ONE WAY JOURNEY. All household members. 822 5635 99 2.134 13.102 How long did it take to travel - Minutes How long did it take to travel - Minutes How long did it take to travel - Minutes How long did it take to travel - Minutes How long did it take to travel - Minutes How long did it take [NAME] to travel to this establishment? Minutes. RECORD TIME FOR ONE WAY JOURNEY. All household members. 821 5636 99 17.284 13.946 Spend a night at establishment Spend a night at establishment Spend a night at establishment Spend a night at establishment Spend a night at establishment Did [NAME] have to spend a night in this establishment because of the illness or injury? If answer is 2 > Go to 18 (h18 - variable name in dataset). All household members. 822 5635 1 Yes 2 No Sysmiss How many nights How many nights How many nights How many nights How many nights How many nights in total? 30 6427 How much money has paid for stay at establishment How much money has paid for stay at establishment How much money has paid for stay at establishment How much money has paid for stay at establishment How much money has paid for stay at establishment How much money has your household paid or will your household pay altogether for the stay in this establishment? All household members. 30 6427 12000 986.3 2522.46 How many times did vist the establishment How many times did vist the establishment How many times did vist the establishment How many times did vist the establishment How many times did vist the establishment How many times did [NAME] visit this establishment for this illness or injury? [Number of times in the past 6 months] All household members. 822 5635 99 2.309 9.581 How much household pay for all visits at the establishement How much household pay for all visits at the establishement How much household pay for all visits at the establishement How much household pay for all visits at the establishement How much household pay for all visits at the establishement How much did your household pay for all of the visits to this establishment for this injury or illness? IN CASH & KIND. IF FREE WRITE 0. Exclude transport costs. and medicine costs. All household members. 822 5635 3000 42.269 166.035 Seek advice or care at any other establishment Seek advice or care at any other establishment Seek advice or care at any other establishment Seek advice or care at any other establishment Seek advice or care at any other establishment Did [NAME] seek advice or care at any other establishment for this illness or injury? If answer is 2 > Go to 39 (h39 - variable name in dataset). All household members. 833 5624 1 Yes 2 No Sysmiss Where was second place sought care Where was second place sought care Where was second place sought care Where was second place sought care Where was second place sought care Where was the second place that [NAME] sought care or advice? 49 6408 1 National Referral Hosp. (Kenyatta, Moi) 2 Government District/Provincial Hosp. 3 Mosoriot Rural Health Center 4 Government Health Center (exc. Mosoriot) 5 Government dispensary 6 Mission hospital/clinic 7 Other private hospital/clinic 8 Chemist/pharmacy 9 Private doctor (like priv. clinic) 10 Mobile clinic 11 Community health worker 12 Retail shop 13 Herbalist/traditional healer 14 Relative/friend 15 Other (specify) Sysmiss Where was second place sought care (Other) Where was second place sought care (Other) Where was second place sought care (Other) Where was second place sought care (Other) Where was second place sought care (Other) Where was the second place that [NAME] sought care or advice? Other (specify). How long did it take to travel (hrs) How long did it take to travel (hrs) How long did it take to travel (hrs) How long did it take to travel (hrs) How long did it take to travel (hrs) How long did it take [NAME] to travel to this establishment? Hours. RECORD TIME FOR ONE WAY JOURNEY. 49 6408 How long did it take to establishement (mins) How long did it take to establishement (mins) How long did it take to establishement (mins) How long did it take to establishement (mins) How long did it take to establishement (mins) How long did it take [NAME] to travel to this establishment? Mintues. RECORD TIME FOR ONE WAY JOURNEY. 49 6408 45 18.98 16.425 Spend night at establishment Spend night at establishment Spend night at establishment Spend night at establishment Spend night at establishment Did [NAME] have to spend a night in this establishment because of the illness or injury? If answer is 2 > Go to 26 (h26 - variable name in dataset). All household members. 49 6408 1 Yes 2 No Sysmiss How many nights How many nights How many nights How many nights How many nights How many nights? 10 6447 How much money pay for stay at establishment How much money pay for stay at establishment How much money pay for stay at establishment How much money pay for stay at establishment How much money pay for stay at establishment How much money has your household paid or will your household pay altogether for the stay in this establishment? All household members. 10 6447 99 21000 3629.8 6818.236 How many times visited the establishment How many times visited the establishment How many times visited the establishment How many times visited the establishment How many times visited the establishment How many times did [NAME] visit this establishment for this illness or injury? 49 6408 How much household pay for all visits at the establishement How much household pay for all visits at the establishement How much household pay for all visits at the establishement How much household pay for all visits at the establishement How much household pay for all visits at the establishement How much did your household pay for all of the visits to this establishment for this injury or illness? IN CASH & KIND. IF FREE WRITE 0. Exclude transport costs. Exclude medicine costs. All household members. 49 6408 2800 195.469 536.559 Did seek care at any other establishement Did seek care at any other establishement Did seek care at any other establishement Did seek care at any other establishement Did seek care at any other establishement Did [NAME] seek care at any other establishment for this illness or injury? If answer is 2 > Go to 39 (h39 - variable name in dataset). All household members. 49 6408 1 Yes 2 No Sysmiss Where was the third place sought care Where was the third place sought care Where was the third place sought care Where was the third place sought care Where was the third place sought care Where was the third place that [NAME] sought care or advice? 1 6456 1 National Referral Hosp. (Kenyatta, Moi) 2 Government District/Provincial Hosp. 3 Mosoriot Rural Health Center 4 Government Health Center (exc. Mosoriot) 5 Government dispensary 6 Mission hospital/clinic 7 Other private hospital/clinic 8 Chemist/pharmacy 9 Private doctor (like priv. clinic) 10 Mobile clinic 11 Community health worker 12 Retail shop 13 Herbalist/traditional healer 14 Relative/friend 15 Other (specify) Sysmiss Where was the third place sought care (Other) Where was the third place sought care (Other) Where was the third place sought care (Other) Where was the third place sought care (Other) Where was the third place sought care (Other) Where was the third place that [NAME] sought care or advice? Other (specify). How did it take to travel (Hrs) How did it take to travel (Hrs) How did it take to travel (Hrs) How did it take to travel (Hrs) How did it take to travel (Hrs) How long did it take [NAME] to travel to this establishment? Hours. RECORD TIME FOR ONE WAY JOURNEY. 1 6456 How did it take to travel (Mins) How did it take to travel (Mins) How did it take to travel (Mins) How did it take to travel (Mins) How did it take to travel (Mins) How long did it take [NAME] to travel to this establishment? Minutes. RECORD TIME FOR ONE WAY JOURNEY. 1 6456 Did have to spend the night at establishment Did have to spend the night at establishment Did have to spend the night at establishment Did have to spend the night at establishment Did have to spend the night at establishment Did [NAME] have to spend a night in this establishment because of the illness or injury? If answer is 2 > Go to 34 (h34 - variable name in dataset). All household members. 1 6456 1 Yes 2 No Sysmiss How many nights How many nights How many nights How many nights How many nights How many nights ? All household members. 6457 How much money pay for stay at establishment How much money pay for stay at establishment How much money pay for stay at establishment How much money pay for stay at establishment How much money pay for stay at establishment How much money has your household paid or will your household pay altogether for the stay in this establishment. All household members. 6457 How many times visit the establishment How many times visit the establishment How many times visit the establishment How many times visit the establishment How many times visit the establishment How many times did [NAME] visit this establishment for this illness or injury? 1 6456 How much household pay for all visits at the establishement How much household pay for all visits at the establishement How much household pay for all visits at the establishement How much household pay for all visits at the establishement How much household pay for all visits at the establishement How much money did your household pay for all of the visits to this establishment for this injury or illness? IN CASH & KIND. 0 FREE. Exclude transport and medicine costs. All household members. 1 6456 Seek care at any other establishment Seek care at any other establishment Seek care at any other establishment Seek care at any other establishment Seek care at any other establishment Did [NAME] seek care at any other establishment for this illness or injury? If answer is 2 > Go to 39 (h39 - variable name in dataset). 1 6456 1 Yes 2 No Sysmiss How many other establishment How many other establishment How many other establishment How many other establishment How many other establishment How many other establishments did [NAME] visit? All household members. 6457 How much money was spent for all visits How much money was spent for all visits How much money was spent for all visits How much money was spent for all visits How much money was spent for all visits How much money was spent for all visits to other establishments for this illness or injury? All household members. 6457 Confined to bed at home Confined to bed at home Confined to bed at home Confined to bed at home Confined to bed at home Was [NAME] at any time confined to his/her bed at home for this illness or injury? If answer is 2 > Go to 41 (h41 - variable name in dataset). All household members. 1094 5363 1 Yes 2 No 8 Sysmiss Who was caring most of the time Who was caring most of the time Who was caring most of the time Who was caring most of the time Who was caring most of the time Who in your household was caring for [NAME] most of the time? Use HHID. All household members. 274 6183 97 Outside 98 Nobody How much has been spent for transportation How much has been spent for transportation How much has been spent for transportation How much has been spent for transportation How much has been spent for transportation How much has been spent altogether for transportation to health care for this illness or injury? All household members. 1094 5363 9600 68.851 350.591 How much has been spent on medication How much has been spent on medication How much has been spent on medication How much has been spent on medication How much has been spent on medication How much has been spent altogether for medicines (including traditional medicines) for this illness? All household members. 1094 5363 10000 125.965 558.575 What was the amount of total cost by employer What was the amount of total cost by employer What was the amount of total cost by employer What was the amount of total cost by employer What was the amount of total cost by employer What was the amount of [NAME’s] total costs paid for by an employer? All household members. 1094 5363 99 0.715 8.336 What was the amount of total cost by persons outside What was the amount of total cost by persons outside What was the amount of total cost by persons outside What was the amount of total cost by persons outside What was the amount of total cost by persons outside What was the amount of [NAME’s] total costs paid for by persons outside your household (like family members)? Exclude loans. All household members. 1094 5363 4600 16.08 205.607 Still suffering from this illness Still suffering from this illness Still suffering from this illness Still suffering from this illness Still suffering from this illness Is [NAME] still suffering from this illness or injury today? All household members. 1094 5363 1 Yes 2 No 9 Sysmiss Was illness diagnosed by a health professional Was illness diagnosed by a health professional Was illness diagnosed by a health professional Was illness diagnosed by a health professional Was illness diagnosed by a health professional Was [NAME’s] illness diagnosed by a health professional? All household members. 1094 5363 1 Yes 2 No 8 Sysmiss What illness professional think What illness professional think What illness professional think What illness professional think What illness professional think What illness did the health practitioner think [NAME] had? 6457 1 HIV/AIDS 2 Asthma 3 Bilharzia/ Shistosomiasis 4 Cancer 5 Diarrhea 6 Dysentry 7 Fracture/break 8 Gnorrhea 9 Intestinal Parisites 10 Malaria 11 Malnutrition (Kwashiorkor/Marasmus) 12 Measles 13 Meningitis 14 Poisoning 15 Polio 16 Syphilis 17 Tetanus 18 Tuberculosis 19 Typhoid 20 Urinary Infection 21 Witchcraft 22 Other STD (specify) 23 Other illness (specify) 24 Other injury (specify) 99 Don’t know Sysmiss What illness professional think (Other) What illness professional think (Other) What illness professional think (Other) What illness professional think (Other) What illness professional think (Other) What illness did the health practitioner think [NAME] had? Other (specify). What illness do you think (Name) is suffering What illness do you think (Name) is suffering What illness do you think (Name) is suffering What illness do you think (Name) is suffering What illness do you think (Name) is suffering What illness do you think [NAME] is suffering from? 6457 1 HIV/AIDS 2 Asthma 3 Bilharzia/ Shistosomiasis 4 Cancer 5 Diarrhea 6 Dysentry 7 Fracture/break 8 Gnorrhea 9 Intestinal Parisites 10 Malaria 11 Malnutrition (Kwashiorkor/Marasmus) 12 Measles 13 Meningitis 14 Poisoning 15 Polio 16 Syphilis 17 Tetanus 18 Tuberculosis 19 Typhoid 20 Urinary Infection 21 Witchcraft 22 Other STD (specify) 23 Other illness (specify) 24 Other injury (specify) 99 Don’t know Sysmiss What illness do you think (Name) is suffering (Other) What illness do you think (Name) is suffering (Other) What illness do you think (Name) is suffering (Other) What illness do you think (Name) is suffering (Other) What illness do you think (Name) is suffering (Other) What illness do you think [NAME] is suffering from? Other (specify). Has been recurring problem Has been recurring problem Has been recurring problem Has been recurring problem Has been recurring problem Has this been a recurring problem? If answer is 2 > Go to 51 (h51 - variable name in dataset). All household members. 1094 5363 1 Yes 2 No 9 Sysmiss How many times in the past 6 months has been stricken with s How many times in the past 6 months has been stricken with s How many times in the past 6 months has been stricken with s How many times in the past 6 months has been stricken with s How many times in the past 6 months has been stricken with s How many times in the past 6 months has [NAME] been stricken with the same condition? All household members. 250 6207 99 3.408 10.634 How many othe illness did have in past 4 weeks How many othe illness did have in past 4 weeks How many othe illness did have in past 4 weeks How many othe illness did have in past 4 weeks How many othe illness did have in past 4 weeks How many other illnesses or injuries did [NAME] have in the past 4 weeks? If answer is 0 > Go to section B (health_b - name of dataset). All household members. 1094 5363 98 0.238 4.203 How much household spend on all these other illness in past How much household spend on all these other illness in past How much household spend on all these other illness in past How much household spend on all these other illness in past How much household spend on all these other illness in past 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 first illness. All household members. 51 6406 5000 163.098 704.81 For how many days was unable to carry out normal activities For how many days was unable to carry out normal activities For how many days was unable to carry out normal activities For how many days was unable to carry out normal activities For how many days was unable to carry out normal activities 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. 52 6405 99 18.769 37.06 Line number Line number Line number Line number Line number All household members. 28 6429 1 2 3 4 5 6 7 8 Sysmiss ID code ID code ID code ID code ID code ID All household members. 6454 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 Sysmiss Has been living with any health problem Has been living with any health problem Has been living with any health problem Has been living with any health problem Has been living with any health problem Has [NAME] been living with any health problems for more than 6 months? If answer is 2 > Go to 8 (hb08 - variable name in dataset). All household members. 6454 3 1 Yes 2 No 3 8 9 Sysmiss How long ago did problem start (Amount of time) How long ago did problem start (Amount of time) How long ago did problem start (Amount of time) How long ago did problem start (Amount of time) How long ago did problem start (Amount of time) How long ago did this problem start? Amt of time. All household members. 1186 5271 99 5.755 8.252 How long ago did problem start (Time unit) How long ago did problem start (Time unit) How long ago did problem start (Time unit) How long ago did problem start (Time unit) How long ago did problem start (Time unit) How long ago did this problem start? Time unit. All household members. 1186 5271 1 Minutes 2 Hours 3 Days 4 Weeks 5 Months 6 Year 8 Sysmiss Has condition been diagnosed by health professional Has condition been diagnosed by health professional Has condition been diagnosed by health professional Has condition been diagnosed by health professional Has condition been diagnosed by health professional Has this condition been diagnosed by a health professional? If answer is 2 > Go to 5 (hb05a - variable name in dataset). All household members. 1186 5271 1 Yes 2 No 8 9 Sysmiss What condition did health professional think What condition did health professional think What condition did health professional think What condition did health professional think What condition did health professional think What condition did the health professional think [NAME] have? 6457 1 HIV/AIDS 2 Asthma 3 Bilharzia/ Shistosomiasis 4 Cancer 5 Diarrhea 6 Dysentry 7 Fracture/break 8 Gnorrhea 9 Intestinal Parisites 10 Malaria 11 Malnutrition (Kwashiorkor/Marasmus) 12 Measles 13 Meningitis 14 Poisoning 15 Polio 16 Syphilis 17 Tetanus 18 Tuberculosis 19 Typhoid 20 Urinary Infection 21 Witchcraft 22 Other STD (specify) 23 Other illness (specify) 24 Other injury (specify) 99 Don’t know Sysmiss What condition did health professional think (Other) What condition did health professional think (Other) What condition did health professional think (Other) What condition did health professional think (Other) What condition did health professional think (Other) What condition did the health professional think [NAME] have? Other (specify). Symptoms have A: Symptoms have A: Symptoms have A: Symptoms have A: Symptoms have A: What symptoms does [NAME] have? List up to 4. All household members. 1161 5296 98 22.051 24.215 1 Diarrhea (acute) 2 Diarrhea (chronic, 1 month or more) 3 Weight loss (major) 4 Fever (acute) 5 Fever (recurring) 6 Skin rash 7 Weakness 8 Severe headache 9 Fainting 10 Chills (feeling hot and cold) 11 Vomiting 12 Cough 13 Productive cough 14 Coughing blood 15 Pain on passing urine 16 Genital sores 17 Mental disorder 18 Abdominal pain 19 Sore throat 20 Difficulty breathing 21 Burn 22 Fracture 23 Wound 24 Child birth 25 Ameobeosis 26 Other (specify) Symptoms have B: Symptoms have B: Symptoms have B: Symptoms have B: Symptoms have B: What symptoms does [NAME] have? List up to 4. All household members. 653 5804 32 12.573 9.159 1 Diarrhea (acute) 2 Diarrhea (chronic, 1 month or more) 3 Weight loss (major) 4 Fever (acute) 5 Fever (recurring) 6 Skin rash 7 Weakness 8 Severe headache 9 Fainting 10 Chills (feeling hot and cold) 11 Vomiting 12 Cough 13 Productive cough 14 Coughing blood 15 Pain on passing urine 16 Genital sores 17 Mental disorder 18 Abdominal pain 19 Sore throat 20 Difficulty breathing 21 Burn 22 Fracture 23 Wound 24 Child birth 25 Ameobeosis 26 Other (specify) Symptoms have C: Symptoms have C: Symptoms have C: Symptoms have C: Symptoms have C: What symptoms does [NAME] have? List up to 4. All household members. 319 6138 1 32 13.11 9.546 1 Diarrhea (acute) 2 Diarrhea (chronic, 1 month or more) 3 Weight loss (major) 4 Fever (acute) 5 Fever (recurring) 6 Skin rash 7 Weakness 8 Severe headache 9 Fainting 10 Chills (feeling hot and cold) 11 Vomiting 12 Cough 13 Productive cough 14 Coughing blood 15 Pain on passing urine 16 Genital sores 17 Mental disorder 18 Abdominal pain 19 Sore throat 20 Difficulty breathing 21 Burn 22 Fracture 23 Wound 24 Child birth 25 Ameobeosis 26 Other (specify) Symptoms have D: Symptoms have D: Symptoms have D: Symptoms have D: Symptoms have D: What symptoms does [NAME] have? List up to 4. All household members. 105 6352 1 32 13.324 8.666 1 Diarrhea (acute) 2 Diarrhea (chronic, 1 month or more) 3 Weight loss (major) 4 Fever (acute) 5 Fever (recurring) 6 Skin rash 7 Weakness 8 Severe headache 9 Fainting 10 Chills (feeling hot and cold) 11 Vomiting 12 Cough 13 Productive cough 14 Coughing blood 15 Pain on passing urine 16 Genital sores 17 Mental disorder 18 Abdominal pain 19 Sore throat 20 Difficulty breathing 21 Burn 22 Fracture 23 Wound 24 Child birth 25 Ameobeosis 26 Other (specify) Symptoms have (Other) Symptoms have (Other) Symptoms have (Other) Symptoms have (Other) Symptoms have (Other) What symptoms does [NAME] have? Other (specify). 282 AFFECTED AREA PAINS ALLUCINATION B/PAINS BACK ACHE BACK PAIN BACK PAINS BACKACHE BACKACHE & ARM PAIN BACKACHE & EYE PROBL BACKACHE&PAINFUL ARM BACKACHE,KNEE PAIN BACKACHE,LEG PAINS BACKPAIN BAD DREAMS BENDED PAINFUL LEGS BLINDNESS BLISTER ON FACE BLOCKAGE OF NOSE BLOCKED NOSE BLOOD P PALPITATION BLOOD STAIN STOOL BLURRED VISION BODY PARALYSED BREAST ITCHING BREAST PAIN CHEST PAINS CONSTIPATION CRIPPLED DEPRESSION DISCHARGE/CANT HEAR DIZZNESS EAR ACHE EAR DISCHARGE EAR INFECTION EAR PAIN,INFECTION EAR PROBLEM EAR PROBLEMS EPILEPTIC FITS EYE EAR PROBLEM EYE INFECTION EYE PROBLEM FAINTING FLUID FROM EAR FOOT PAIN GASTRIC PAIN GET SICK WHEN COLD GROWTH PAIN STOMACH HEADBURN HEARING DEFECT HEARING PROBLEM HEARING PROBLEM DEAF HEART BURN HEART BURNS HEARTBURN HIGH BLOOD PRESSURE INABILITY TO HEAR INABILITY TO WALK ITCHING EYES ITCHING EYES,REDNESS ITCHY EYES JOINT PAINS KNEE PAIN KNEE PAINS KNEE PROBLEM LEG IMBALANCE LEG PAIN LEG PAIN,HAND PAIN LEG PAINS LEG PARALYSIS LEGS PAIN,BACK PAIN LIMPING LOSS OF APPETITE LUMP ON JAW MEMORY LOSS NECK PAIN NECK STIFFNESS NO APPETITE NOSE BLEEDING NOSE BLOCKAGE NOSE BLOCKED NOT ABLE TO WALK OEDEMA OEDEMA LOOSE BLADDER OEDEMA,LOW SUGAR ORAL THRUSH PAIN & SWOLLEN LEG PAIN & SWOLLEN LEGS PAIN IN EYE PAIN IN THE EAR PAIN IN THE STOMACH PAIN LEGS DEDEMA PAIN ON THE LEGS PAIN WHEN SWALLOWING PAINFUL EYES PAINFUL HANDS PAINFUL JOINTS PAINFUL LEGS PALPATION ANAEMIC PALPITATION PARALISED POOR VISION PROBLEM WITH MOVEMEN PUS IN THE EAR RED EYES RED ITCHY EYES RED LIPS RING WORMS RINGWORMS SLEEPING ALWAYS SNEEZING SPEAKING PROB SPEECH PROBLEM STOMACH ACHE STOMACH PAIN STOOPING BACK SWELLING ON THE KNEE SWELLING PAIN KNEE SWOLLEN JAW SWOLLEN JOINTS SWOLLEN KNEE SWOLLEN LEG SWOLLEN LEGS SWOLLEN LYMPHNODES SWOLLEN RED EYES SWOLLEN TONSILS TAKING ALOT OF WATER TALKING TO SELF THIRSTY & MUCH URINA THYROD SWELLS TIREDNESS TOOTH ACHE TOOTHACHE ULCER NEAR NOSE UNABLE TO WALK URINE RETENTION UTERUS PAINS VAGINAL DISCHARGE VERICOS VEIN WOUNDS ON LIPS How much money did spend on all these conditions How much money did spend on all these conditions How much money did spend on all these conditions How much money did spend on all these conditions How much money did spend on all these conditions How much money did your household spend on all of these conditions in the past 4 weeks including the cost of reatment, medicines, transport and other expenses connected with the illness? All household members. 1187 5270 14500 200.227 639.217 How many days was not able to to carry out activities How many days was not able to to carry out activities How many days was not able to to carry out activities How many days was not able to to carry out activities How many days was not able to to carry out activities In the past 4 weeks, for how many days was [NAME] not able to carry out his/her usual activities? All household members. 1187 5270 99 4.476 17.346 Has suffered diarrhea for a month or more Has suffered diarrhea for a month or more Has suffered diarrhea for a month or more Has suffered diarrhea for a month or more Has suffered diarrhea for a month or more Has [NAME] suffered diarrhea for a month or more? All household members. 6452 5 1 Yes 2 No 8 9 Sysmiss Has lost much weight in recent months Has lost much weight in recent months Has lost much weight in recent months Has lost much weight in recent months Has lost much weight in recent months Has [NAME] continuously lost weight in recent months? All household members. 6452 5 1 Yes 2 No 8 9 Sysmiss Has had a recurring fever for a month or more Has had a recurring fever for a month or more Has had a recurring fever for a month or more Has had a recurring fever for a month or more Has had a recurring fever for a month or more Has [NAME] had a recurring fever for a month or more? All household members. 6452 5 1 Yes 2 No 8 9 Sysmiss Has suffered from any skin rash in past year Has suffered from any skin rash in past year Has suffered from any skin rash in past year Has suffered from any skin rash in past year Has suffered from any skin rash in past year Has [NAME] suffered from any skin rash in the past year? All household members. 6452 5 1 Yes 2 No 8 9 Sysmiss Has suffered from persistent sore throat Has suffered from persistent sore throat Has suffered from persistent sore throat Has suffered from persistent sore throat Has suffered from persistent sore throat Has [NAME] suffered from a persistent sore throat in the last 3 months? (Thrush) All household members. 6452 5 1 Yes 2 No 8 9 Sysmiss Has felt much more tired than normal Has felt much more tired than normal Has felt much more tired than normal Has felt much more tired than normal Has felt much more tired than normal Has [NAME] felt much more tired than normal in the past 3 months? All household members. 6452 5 1 Yes 2 No 8 9 Sysmiss Has been sweating during the night Has been sweating during the night Has been sweating during the night Has been sweating during the night Has been sweating during the night Has [NAME] been sweating during the night in the last 3 months? 6452 5 1 Yes 2 No 8 9 Sysmiss Line number Line number Line number Line number Line number 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. All household members. 18 6439 1. ID Code 1. ID Code 1. ID Code 1. ID Code 1. ID Code ID Code Copy the ID Code of every household member from Section 1 of the Household Roster. All household members. 5373 1084 2. Ever visited Mosoriot Rural Health Centre 2. Ever visited Mosoriot Rural Health Centre 2. Ever visited Mosoriot Rural Health Centre 2. Ever visited Mosoriot Rural Health Centre 2. Ever visited Mosoriot Rural Health Centre Has [NAME] ever visited the Mosoriot Rural Health Center? If answer is 2 > Go to next person. All household members. 5373 1084 1 Yes 2 No 8 9 Sysmiss 3. Have card with ID # for Mosoriot health records 3. Have card with ID # for Mosoriot health records 3. Have card with ID # for Mosoriot health records 3. Have card with ID # for Mosoriot health records 3. Have card with ID # for Mosoriot health records 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. 2633 3824 1 Yes 2 No 8 9 88 Lost the card 99 Don’t Know Sysmiss 4. See the card 4. See the card 4. See the card 4. See the card 4. See the card 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. 942 5515 1 Yes – showed the card 2 Yes – reported the ID number 3 Refused to show card or tell number 4 Card not available 8 Sysmiss 5. Card ID number 5. Card ID number 5. Card ID number 5. Card ID number 5. Card ID number INTERVIEWER: COPY THE NUMBER AS IT APPEARS ON THE CARD OR RECORD THE NUMBER GIVEN TO YOU BY THE RESPONDENT. All household members. Household ID Household ID Household ID Household ID Household ID 1144 103 99999 50409.997 28907.061 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 1144 1 2 3 4 5 6 7 8 9 10 Health Module Health Module Health Module Health Module Health Module 1144 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 1144 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 1144 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 1144 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 1144 Has anyone had malaria since Jan 2002 Has anyone had malaria since Jan 2002 Has anyone had malaria since Jan 2002 Has anyone had malaria since Jan 2002 Has anyone had malaria since Jan 2002 Has anyone in the household had malaria since [Round 1] (including illnesses discussed in section A)? If answer is 2 > Go to next disease. All household members. 1144 1 Yes 2 No Count Section C Count Section C Count Section C Count Section C Count Section C 766 378 1 7 2.159 1.418 Anyone had tuberclosis since Jan 2002 Anyone had tuberclosis since Jan 2002 Anyone had tuberclosis since Jan 2002 Anyone had tuberclosis since Jan 2002 Anyone had tuberclosis since Jan 2002 Has anyone in the household had tuberculosis since [Round 1] (including illnesses discussed in sections A or B? If answer is 1 > Ask if respondent has a card with information about the illness. If answer is 2 > Go to next disease. All household members. 1144 1 Yes 2 No Count of TB Count of TB Count of TB Count of TB Count of TB 129 1015 1 4 1.109 0.4 Has anyone had typhoid Has anyone had typhoid Has anyone had typhoid Has anyone had typhoid Has anyone had typhoid Has anyone in the household had typhoid since [Round 1] (including illnesses discussed in sections A or B? If answer is 2 > Go to next disease. All household members. 1144 1 Yes 2 No Count of Typhoid Count of Typhoid Count of Typhoid Count of Typhoid Count of Typhoid 144 1000 1 3 1.118 0.345 Anyone had menengitis Anyone had menengitis Anyone had menengitis Anyone had menengitis Anyone had menengitis Has anyone in the household had meningitis since [Round 1] (including illnesses discussed in sections A or B? If answer is 2 > Go to section D (mmrs - name of dataset). All household members. 1144 1 Yes 2 No Count of menengitis Count of menengitis Count of menengitis Count of menengitis Count of menengitis 6 1138 1 1 1 Household ID Household ID Household ID Household ID Household ID 1654 197 99999 50661.786 28786.039 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 1654 1 2 3 4 5 6 8 9 10 Health Module Health Module Health Module Health Module Health Module 1654 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 1654 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 1654 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 1654 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 1654 Line number Line number Line number Line number Line number All sick household members. 2 1652 ID code ID code ID code ID code ID code ID Code All sick household members. 1654 Episode number Episode number Episode number Episode number Episode number Episode number for [NAME] All sick household members. 1654 Date started (Month) Date started (Month) Date started (Month) Date started (Month) Date started (Month) Date started. Month. All sick household members. 1654 Date started (Year) Date started (Year) Date started (Year) Date started (Year) Date started (Year) Date started. Year. All sick household members. 1654 Length of episode - Time Length of episode - Time Length of episode - Time Length of episode - Time Length of episode - Time Length of Episode. All sick household members. 1654 1 99 5.122 14.573 Length of episode - Unit Length of episode - Unit Length of episode - Unit Length of episode - Unit Length of episode - Unit Length of Episode. Time Units. All sick household members. 1654 1 Minutes 2 Hours 3 Days 4 Weeks 5 Months 6 Year 7 8 9 Where illness diagnosed as malaria Where illness diagnosed as malaria Where illness diagnosed as malaria Where illness diagnosed as malaria Where illness diagnosed as malaria Where was this illness diagnosed as malaria? All sick household members. 1654 1 99 12.768 27.678 1 National Referral Hosp. (Kenyatta, Moi) 2 Government District/Provincial Hosp. 3 Mosoriot Rural Health Center 4 Government Health Center (exc. Mosoriot) 5 Government dispensary 6 Mission hospital/clinic 7 Other private hospital/clinic 8 Chemist/pharmacy 9 Private doctor (like priv. clinic) 10 Mobile clinic 11 Community health worker 12 Retail shop 13 Herbalist/traditional healer 14 Relative/friend 15 Other (specify) 98 Self 99 Where illness diagnosed as malaria Where illness diagnosed as malaria Where illness diagnosed as malaria Where illness diagnosed as malaria Where illness diagnosed as malaria Where was this illness diagnosed as malaria? Other (specify). All sick household members. 2 Medicines used Medicines used Medicines used Medicines used Medicines used Were any medicines used by [NAME]? If answer is 2 > Go to next episode. All sick household members. 1654 1 99 2.3 11.126 1 Yes 2 No Which medicines - 1 Which medicines - 1 Which medicines - 1 Which medicines - 1 Which medicines - 1 Which medicines? All sick household members. 1640 14 1 99 32.994 43.176 1 Antipyretics (aspro, calpol, brufen, etc) 2 Chloroquine (malaroquine, etc) 3 Sulfa combinations (fansidar,metakelfin) 4 Halofantrine (hanfan) 5 Amodiaquine (camoquine) 6 Cotrimoxazole (bactrim, septrin) 7 Artimisinin (artenam, artomothor) 8 Herbal/traditional remedies 9 Other, specify Which medicines - 2 Which medicines - 2 Which medicines - 2 Which medicines - 2 Which medicines - 2 Which medicines? All sick household members. 911 743 1 99 3.723 8.909 1 Antipyretics (aspro, calpol, brufen, etc) 2 Chloroquine (malaroquine, etc) 3 Sulfa combinations (fansidar,metakelfin) 4 Halofantrine (hanfan) 5 Amodiaquine (camoquine) 6 Cotrimoxazole (bactrim, septrin) 7 Artimisinin (artenam, artomothor) 8 Herbal/traditional remedies 9 Other, specify Which medicines - 3 Which medicines - 3 Which medicines - 3 Which medicines - 3 Which medicines - 3 Which medicines? All sick household members. 182 1472 1 99 4.544 10.502 1 Antipyretics (aspro, calpol, brufen, etc) 2 Chloroquine (malaroquine, etc) 3 Sulfa combinations (fansidar,metakelfin) 4 Halofantrine (hanfan) 5 Amodiaquine (camoquine) 6 Cotrimoxazole (bactrim, septrin) 7 Artimisinin (artenam, artomothor) 8 Herbal/traditional remedies 9 Other, specify Which medicines - 3 (Other) Which medicines - 3 (Other) Which medicines - 3 (Other) Which medicines - 3 (Other) Which medicines - 3 (Other) Which medicines? Other (specify). All sick household members. 15 Household ID Household ID Household ID Household ID Household ID 22880 103 99999 50409.997 28895.055 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 22880 1 2 3 4 5 6 7 8 9 10 Health Module Health Module Health Module Health Module Health Module 22880 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 22880 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 22880 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 22880 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 22880 Line number Line number Line number Line number Line number All sick household members. 22880 ID code ID code ID code ID code ID code ID Code All sick household members. 143 22737 Episode number Episode number Episode number Episode number Episode number Episode number for [NAME] All sick household members. 143 22737 Date started (Month) Date started (Month) Date started (Month) Date started (Month) Date started (Month) Date started. Month. All sick household members. 143 22737 Date started (Year) Date started (Year) Date started (Year) Date started (Year) Date started (Year) Date started. Year. All sick household members. 143 22737 Length of episode - Time Length of episode - Time Length of episode - Time Length of episode - Time Length of episode - Time Length of Episode. All sick household members. 143 22737 1 88 41.049 40.381 Length of episode - Unit Length of episode - Unit Length of episode - Unit Length of episode - Unit Length of episode - Unit Length of Episode. Time Units. All sick household members. 143 22737 1 Minutes 2 Hours 3 Days 4 Weeks 5 Months 6 Year 8 Sysmiss Where illness was diagnosed Where illness was diagnosed Where illness was diagnosed Where illness was diagnosed Where illness was diagnosed Where was this illness diagnosed as tuberculosis? All sick household members. 143 22737 1 National Referral Hosp. (Kenyatta, Moi) 2 Government District/Provincial Hosp. 3 Mosoriot Rural Health Center 4 Government Health Center (exc. Mosoriot) 5 Government dispensary 6 Mission hospital/clinic 7 Other private hospital/clinic 8 Chemist/pharmacy 9 Private doctor (like priv. clinic) 10 Mobile clinic 11 Community health worker 12 Retail shop 13 Herbalist/traditional healer 14 Relative/friend 15 Other (specify) 98 Self Sysmiss Where illness was diagnosed Where illness was diagnosed Where illness was diagnosed Where illness was diagnosed Where illness was diagnosed Where was this illness diagnosed as tuberculosis? Other (specify). All sick household members. Medicines used Medicines used Medicines used Medicines used Medicines used Were any medicines used by [NAME]? If answer is 2 > Go to next episode. All sick household members. 143 22737 1 Yes 2 No Sysmiss Which medicines - 1 Which medicines - 1 Which medicines - 1 Which medicines - 1 Which medicines - 1 Which medicines? All sick household members. 143 22737 1 Streptosin 2 Pyrazinamide 3 Ethambutol 4 Isoniazid 5 Rifampicin 8 9 Sysmiss Which medicines - 2 Which medicines - 2 Which medicines - 2 Which medicines - 2 Which medicines - 2 Which medicines? All sick household members. 33 22847 1 Streptosin 2 Pyrazinamide 3 Ethambutol 4 Isoniazid 5 Rifampicin 9 Sysmiss Which medicines - 3 Which medicines - 3 Which medicines - 3 Which medicines - 3 Which medicines - 3 Which medicines? All sick household members. 11 22869 1 Streptosin 2 Pyrazinamide 3 Ethambutol 4 Isoniazid 5 Rifampicin Sysmiss Household ID Household ID Household ID Household ID Household ID 161 449 98241 51623.584 27488.58 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 161 1 2 3 4 Health Module Health Module Health Module Health Module Health Module 161 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 161 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 161 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 161 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 161 Line number Line number Line number Line number Line number All sick household members. 161 ID Code ID Code ID Code ID Code ID Code ID Code All sick household members. 161 Episode number Episode number Episode number Episode number Episode number Episode number for [NAME] All sick household members. 161 Date started (Month) Date started (Month) Date started (Month) Date started (Month) Date started (Month) Date started. Month. All sick household members. 161 Date started (Year) Date started (Year) Date started (Year) Date started (Year) Date started (Year) Date started. Year. All sick household members. 161 Length of episode - Time Length of episode - Time Length of episode - Time Length of episode - Time Length of episode - Time Length of Episode. All sick household members. 161 1 88 3.783 10.123 Length of episode - Unit Length of episode - Unit Length of episode - Unit Length of episode - Unit Length of episode - Unit Length of Episode. Time Unit. All sick household members. 161 1 Minutes 2 Hours 3 Days 4 Weeks 5 Months 6 Year 8 Where illness was diagnosed Where illness was diagnosed Where illness was diagnosed Where illness was diagnosed Where illness was diagnosed Where was this illness diagnosed as typhoid? All sick household members. 161 1 98 5.516 13.001 1 National Referral Hosp. (Kenyatta, Moi) 2 Government District/Provincial Hosp. 3 Mosoriot Rural Health Center 4 Government Health Center (exc. Mosoriot) 5 Government dispensary 6 Mission hospital/clinic 7 Other private hospital/clinic 8 Chemist/pharmacy 9 Private doctor (like priv. clinic) 10 Mobile clinic 11 Community health worker 12 Retail shop 13 Herbalist/traditional healer 14 Relative/friend 15 Other (specify) 98 Self Where illness was diagnosed Where illness was diagnosed Where illness was diagnosed Where illness was diagnosed Where illness was diagnosed Where was this illness diagnosed as typhoid? Other (specify). All sick household members. Medicine used Medicine used Medicine used Medicine used Medicine used Were any medicines used by [NAME]? If answer is 2 > Go to next episode. All sick household members. 161 1 Yes 2 No 8 Which medicine - 1 Which medicine - 1 Which medicine - 1 Which medicine - 1 Which medicine - 1 Which medicines? All sick household members. 159 2 1 Ampicillin 2 Amoxicillin 3 Septrin 4 Chloramphenicol 8 9 Sysmiss Which medicine - 2 Which medicine - 2 Which medicine - 2 Which medicine - 2 Which medicine - 2 Which medicines? All sick household members. 27 134 1 Ampicillin 2 Amoxicillin 3 Septrin 4 Chloramphenicol Sysmiss Which medicine - 3 Which medicine - 3 Which medicine - 3 Which medicine - 3 Which medicine - 3 Which medicines? All sick household members. 7 154 1 Ampicillin 2 Amoxicillin 3 Septrin 4 Chloramphenicol Sysmiss Household ID Household ID Household ID Household ID Household ID 6 18938 82060 58719.5 23113.877 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 6 1 2 Health Module Health Module Health Module Health Module Health Module 6 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 6 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 6 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 6 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 6 Line number Line number Line number Line number Line number All sick household members. 6 ID code ID code ID code ID code ID code ID Code All sick household members. 6 Episode number Episode number Episode number Episode number Episode number Episode number for [NAME] All sick household members. 6 Date started (Month) Date started (Month) Date started (Month) Date started (Month) Date started (Month) Date started. Month. All sick household members. 6 Date started (Year) Date started (Year) Date started (Year) Date started (Year) Date started (Year) Date started. Year. All sick household members. 6 Length of episode - Time Length of episode - Time Length of episode - Time Length of episode - Time Length of episode - Time Length of Episode. All sick household members. 6 1 4 1.5 1.225 Length of episode - Unit Length of episode - Unit Length of episode - Unit Length of episode - Unit Length of episode - Unit Length of Episode. Time Unit. All sick household members. 6 1 Minutes 2 Hours 3 Days 4 Weeks 5 Months 6 Year Where illness was diagnosed Where illness was diagnosed Where illness was diagnosed Where illness was diagnosed Where illness was diagnosed Where was this illness diagnosed as meningitis? All sick household members. 6 1 National Referral Hosp. (Kenyatta, Moi) 2 Government District/Provincial Hosp. 3 Mosoriot Rural Health Center 4 Government Health Center (exc. Mosoriot) 5 Government dispensary 6 Mission hospital/clinic 7 Other private hospital/clinic 8 Chemist/pharmacy 9 Private doctor (like priv. clinic) 10 Mobile clinic 11 Community health worker 12 Retail shop 13 Herbalist/traditional healer 14 Relative/friend 15 Other (specify) 98 Self Where illness was diagnosed Where illness was diagnosed Where illness was diagnosed Where illness was diagnosed Where illness was diagnosed Where was this illness diagnosed as meningitis? Other (specify). All sick household members. Medicines used Medicines used Medicines used Medicines used Medicines used Were any medicines used by [NAME]? If answer is 2 > Go to next episode. All sick household members. 6 1 Yes 2 No Which medicines - 1 Which medicines - 1 Which medicines - 1 Which medicines - 1 Which medicines - 1 Which medicines? All sick household members. 6 1 Expen 2 Ampicillin 3 Chloramphenicol 4 Cefotaxine 9 Which medicines - 2 Which medicines - 2 Which medicines - 2 Which medicines - 2 Which medicines - 2 Which medicines? All sick household members. 1 5 1 Expen 2 Ampicillin 3 Chloramphenicol 4 Cefotaxine Sysmiss Which medicines - 3 Which medicines - 3 Which medicines - 3 Which medicines - 3 Which medicines - 3 Which medicines? All sick household members. 1 5 1 Expen 2 Ampicillin 3 Chloramphenicol 4 Cefotaxine Sysmiss Household ID Household ID Household ID Household ID Household ID 1142 103 99999 50285.157 28848.441 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 1142 1 2 3 4 5 6 8 10 Housing characteristics module Housing characteristics module Housing characteristics module Housing characteristics module Housing characteristics module 1142 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 1142 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 1142 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 1142 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 1142 Number of structures hh own Number of structures hh own Number of structures hh own Number of structures hh own Number of structures hh own How many structures/dwellings does your household own or rent, within and outside this compound? (Probe for all structures owned or rented by the household, including those rented out by the household, and also those outside the compound.) Exclude: toilet/bathroom, chicken coop. 1142 10 2.989 1.467 Main source of drinking water Main source of drinking water Main source of drinking water Main source of drinking water Main source of drinking water Now I would like to ask you a few questions regarding your main dwelling. What is the main source of drinking water for members of this household? 1142 1 Private Tap 2 Public Tap 3 Well on plot 4 Public well 5 Spring 6 Surface water (e.g. river, lake) 7 Rainwater 8 Other (specify) Main source of drinking water (Other) Main source of drinking water (Other) Main source of drinking water (Other) Main source of drinking water (Other) Main source of drinking water (Other) What is the main source of drinking water for members of this household? Other (specify). 25 Type of toilet facility Type of toilet facility Type of toilet facility Type of toilet facility Type of toilet facility What kind of toilet facility does your household use? 1142 1 Traditional pit toilet 2 Ventilated improved pit latrine 3 Flush toilet 4 No facility/ bush/field 5 Other (specify) Type of toilet facility (Other) Type of toilet facility (Other) Type of toilet facility (Other) Type of toilet facility (Other) Type of toilet facility (Other) What kind of toilet facility does your household use? Other (specify). 10 In rainy season, is there any standing water In rainy season, is there any standing water In rainy season, is there any standing water In rainy season, is there any standing water In rainy season, is there any standing water In the RAINY SEASON, is there any standing water within 100 meters of your main dwelling? 1142 1 Yes 2 No Main fuel used for cooking Main fuel used for cooking Main fuel used for cooking Main fuel used for cooking Main fuel used for cooking What is the main fuel used by the household for cooking? 1142 1 Wood 2 Charcoal 3 Gas 4 Electricity 5 Kerosene 6 Other How long does it take to nearest tarmac road - Hours How long does it take to nearest tarmac road - Hours How long does it take to nearest tarmac road - Hours How long does it take to nearest tarmac road - Hours How long does it take to nearest tarmac road - Hours How long does it take you to walk from your home to the nearest tarmac road? Hours. 1142 98 0.862 3.091 How long does it take to nearest tarmac road - Minutes How long does it take to nearest tarmac road - Minutes How long does it take to nearest tarmac road - Minutes How long does it take to nearest tarmac road - Minutes How long does it take to nearest tarmac road - Minutes How long does it take you to walk from your home to the nearest tarmac road? Minutes. 1142 98 15.712 14.728 Household ID Household ID Household ID Household ID Household ID 3404 103 99999 50370.694 28815.28 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 3404 1 2 3 4 5 6 10 Housing characteristics module Housing characteristics module Housing characteristics module Housing characteristics module Housing characteristics module 3404 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 3404 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 3404 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 3404 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 3404 Column number Column number Column number Column number Column number Now I would like to ask you a few questions about each of these structures/dwellings. 11 3393 ID code for structure ID code for structure ID code for structure ID code for structure ID code for structure ID code for each structure/ dwelling Remember to ask about structures outside the compound 3404 Ownership of structure Ownership of structure Ownership of structure Ownership of structure Ownership of structure What is the ownership status of this structure? If answer is 1 > Go to 6 (hc06 - variable name in dataset). If answer is 2 > Go to 5 (hc05 - variable name in dataset). If answer is 3 > Go to 4 (hc04 - variable name in dataset). If answer is 4 or 5 > Go to 7 (hc07 - variable name in dataset). 3403 1 1 Owned and used by household members 2 Owned by HH member and rented out 3 Rented in 4 Owned by relatives (no rent paid by the household) 5 Other (specify) 8 Sysmiss Ownership of structure (Other) Ownership of structure (Other) Ownership of structure (Other) Ownership of structure (Other) Ownership of structure (Other) What is the ownership status of this structure? Other (specify). 20 Amount pay for rent per month Amount pay for rent per month Amount pay for rent per month Amount pay for rent per month Amount pay for rent per month How much money does your household pay in rent for this structure per month? Go to 7 (hc07 - variable name in dataset). 179 3225 18000 1073.994 1917.245 Amount receive for rent per amonth Amount receive for rent per amonth Amount receive for rent per amonth Amount receive for rent per amonth Amount receive for rent per amonth How much money does your household receive in rent for this property per month? 53 3351 21000 2573.585 4122.844 Value of the structure Value of the structure Value of the structure Value of the structure Value of the structure How much would this structure be worth if you sold it today? Interviewer: If respondent is not able to do it, help him/her assess the value. In the extreme case, estimate a value yourself. 3165 239 98 3000000 28354.727 101760.973 Structure within the compound Structure within the compound Structure within the compound Structure within the compound Structure within the compound Is this structure within the compound or outside the compound? 3396 8 1 Within 2 Outside 8 Sysmiss Main purpose of the structure Main purpose of the structure Main purpose of the structure Main purpose of the structure Main purpose of the structure What is the main use or purpose of the structure? For incomplete structures, ask about future use/purpose. If answer is 2, 3, 4, 5 or 6 > Go to next structure. 3401 3 1 Household living arrangements 2 Cooking 3 Storage 4 Business 5 Servant’s quarter (if servant not part of HH) 6 other 8 Sysmiss Main construction material of outside wall Main construction material of outside wall Main construction material of outside wall Main construction material of outside wall Main construction material of outside wall What is the main construction material of outside walls? 1760 1644 1 Mud 2 Wooden planks 3 Stone/brick/cement 4 Other (specify) Sysmiss Main construction material of outside wall (Other) Main construction material of outside wall (Other) Main construction material of outside wall (Other) Main construction material of outside wall (Other) Main construction material of outside wall (Other) What is the main construction material of outside walls? Other (specify). 7 Main floor material Main floor material Main floor material Main floor material Main floor material What is the main flooring material? 1760 1644 1 Natural floor: mud/dung/sand 2 Rudimentary floor: wood planks 3 Finished floor: polished wood, vinyl/tiles 4 Cement 5 Other (specify) Sysmiss Main floor material (Other) Main floor material (Other) Main floor material (Other) Main floor material (Other) Main floor material (Other) What is the main flooring material? Other (specify). 2 Main roofing material Main roofing material Main roofing material Main roofing material Main roofing material What is the main roofing material? 1760 1644 1 Grass/thatch 2 Corrugated iron (mabati) 3 Tiles 4 Other (specify) Sysmiss Main roofing material (Other) Main roofing material (Other) Main roofing material (Other) Main roofing material (Other) Main roofing material (Other) What is the main roofing material? Other (specify). 8 Most windows fitted with Most windows fitted with Most windows fitted with Most windows fitted with Most windows fitted with What are most windows fitted with? 1760 1644 1 Glass 2 Wood shutters 3 No cover 4 Other (specify) 5 No window 8 9 Sysmiss Most windows fitted with (Other) Most windows fitted with (Other) Most windows fitted with (Other) Most windows fitted with (Other) Most windows fitted with (Other) What are most windows fitted with? Other (specify). 6 Number of room in structure Number of room in structure Number of room in structure Number of room in structure Number of room in structure How many rooms are in this structure? 1760 1644 1 9 2.611 1.318 Household ID Household ID Household ID Household ID Household ID 5250 103 99999 50461.548 29018.292 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 5250 1 2 3 4 5 7 8 10 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 5250 Income module done Income module done Income module done Income module done Income module done 5250 1 Yes 2 No Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 5250 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 5250 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 5250 Count of section A Count of section A Count of section A Count of section A Count of section A 5225 25 Line number Line number Line number Line number Line number All household members 8 years and older 21 5229 1 2 3 4 5 6 7 8 9 Sysmiss ID code - Income module ID code - Income module ID code - Income module ID code - Income module ID code - Income module ID Code List the ID codes of all household members 8 years and older. All household members 8 years and older 5250 1 24 3.661 2.582 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 24 During past 7 day worked for someone who is not a member During past 7 day worked for someone who is not a member During past 7 day worked for someone who is not a member During past 7 day worked for someone who is not a member During past 7 day worked for someone who is not a member 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 5225 25 1 Yes 2 No 8 9 Sysmiss During past 6 months worked for someone who is not member During past 6 months worked for someone who is not member During past 6 months worked for someone who is not member During past 6 months worked for someone who is not member During past 6 months worked for someone who is not member 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 4377 873 1 Yes 2 No 8 9 Sysmiss During past 7 days worked on field belonging to someone During past 7 days worked on field belonging to someone During past 7 days worked on field belonging to someone During past 7 days worked on field belonging to someone During past 7 days worked on field belonging to someone During the past 7 days, has [NAME] worked on a field or garden belonging to someone in your household, or has [NAME] raised livestock? If answer is 1 > Go to 6 (in06 - variable name in dataset). All household members 8 years and older 5225 25 1 Yes 2 No 8 9 Sysmiss During past 6 months worked on field belonging to someone During past 6 months worked on field belonging to someone During past 6 months worked on field belonging to someone During past 6 months worked on field belonging to someone During past 6 months worked on field belonging to someone 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 1421 3829 1 Yes 2 No 8 9 Sysmiss During past 7 days done non-farm work During past 7 days done non-farm work During past 7 days done non-farm work During past 7 days done non-farm work During past 7 days done non-farm work 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 5225 25 1 Yes 2 No 8 9 Sysmiss During past 6 months done non-farm work During past 6 months done non-farm work During past 6 months done non-farm work During past 6 months done non-farm work During past 6 months done non-farm work During the past 12 months, 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? Go to next person. All household members 8 years and older 4679 571 1 Yes 2 No 8 9 Sysmiss Count of section B Count of section B Count of section B Count of section B Count of section B 838 4412 1 6 1.883 1.126 Line number Line number Line number Line number Line number 1 5249 ID Code ID Code ID Code ID Code ID Code ID Code List ID Codes for all who worked as an EMPLOYE E in the past 7 days – YES to Sec. A, Question 2. 838 4412 What did do for this work What did do for this work What did do for this work What did do for this work What did do for this work What did [NAME] do in this work? What kind of trade, industry or business is it connected with? If more than one job of this type, choose the one that they spent the most time on in the past 6 months. 838 4412 1 Crop farmer 2 Animal farmer 3 Housewife 4 Trader/merchant/salesperson 5 Transport worker 6 Construction worker 7 Teacher/education professional 8 Health professional/TBA/trad. Healer 9 Secretary/clerical 10 Factory worker 11 Restaurant/bar/hotel 12 Skilled trades (carpenter, tailor, etc.) 13 Preacher/pastor 14 Village elder 15 Domestic worker 16 Civil Servant/Government 17 Other (specify) 88 No activity/unemployed 99 Don’t Know Sysmiss What did do for this work (Other) What did do for this work (Other) What did do for this work (Other) What did do for this work (Other) What did do for this work (Other) What did [NAME] do in this work? What kind of trade, industry or business is it connected with? Other (specify). All household members 8 years and older who worked as an EMPLOYEE in the past 7 days. 418 How many hours work in past 7 days How many hours work in past 7 days How many hours work in past 7 days How many hours work in past 7 days How many hours work in past 7 days How many hours did [NAME] do this work in the past 7 days (since last ___)?[Total no. of hours] Probe for actual hours. Exclude 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. 831 4419 99 38.176 25.699 Number of hours usually work at job in a week Number of hours usually work at job in a week Number of hours usually work at job in a week Number of hours usually work at job in a week Number of hours usually work at job in a week 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. 810 4440 1 Yes 2 No 8 9 Sysmiss Why did not work the usual number of hours Why did not work the usual number of hours Why did not work the usual number of hours Why did not work the usual number of hours Why did not work the usual number of hours 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. 200 5050 1 98 13.95 25.791 1 Own illness 2 Illness of family member 3 Overtime due to illness of other employee 4 Other overtime 5 Public or religious holiday 6 Vacation 7 Funeral/mourning period 8 Other (specify) Why did not work the usual number of hours (Other) Why did not work the usual number of hours (Other) Why did not work the usual number of hours (Other) Why did not work the usual number of hours (Other) Why did not work the usual number of hours (Other) Why did [NAME] not work the usual number of hours in the past 7 days? Other (specify). All household members 8 years and older who worked as an EMPLOYEE in the past 7 days. 98 For how many hours per week usual work For how many hours per week usual work For how many hours per week usual work For how many hours per week usual work For how many hours per week usual work 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. 211 5039 99 53.114 26.035 How many weeks during past 6 months did work How many weeks during past 6 months did work How many weeks during past 6 months did work How many weeks during past 6 months did work How many weeks during past 6 months did work 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 worked as an EMPLOYEE in the past 7 days. 830 4420 99 20.873 14.041 What type of employer did work for What type of employer did work for What type of employer did work for What type of employer did work for What type of employer did work for 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. 831 4419 1 Govt./parastatal 2 Private employer 3 Cooperative union 4 NGO 5 Other (specify) 8 Sysmiss Is position temporary or permanent Is position temporary or permanent Is position temporary or permanent Is position temporary or permanent Is position temporary or permanent Is [NAME’s] position temporary or permanent? All household members 8 years and older who worked as an EMPLOYEE in the past 7 days. 831 4419 1 Temporary 2 Permanent 8 9 Sysmiss Received a salary or payment of any kind for work Received a salary or payment of any kind for work Received a salary or payment of any kind for work Received a salary or payment of any kind for work Received a salary or payment of any kind for work In the past month, did [NAME] receive a salary or payment of any kind for this work? If answer is 2 > Go to 12 (in12 - variable name in dataset). All household members 8 years and older who worked as an EMPLOYEE in the past 7 days. 831 4419 1 Yes 2 No 8 9 Sysmiss Net salary for work in the last month Net salary for work in the last month Net salary for work in the last month Net salary for work in the last month Net salary for work in the last month 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. 817 4433 70000 3560.972 6178.534 Received any housing connected to the work Received any housing connected to the work Received any housing connected to the work Received any housing connected to the work Received any housing connected to the work Has [NAME] received or will he/she receive any housing (or money for housing) connected with this work? If answer is 2 > Go to 14 (in14 - variable name in dataset). All household members 8 years and older who worked as an EMPLOYEE in the past 7 days. 831 4419 1 Yes 2 No 9 Sysmiss What is the value of housing allowance What is the value of housing allowance What is the value of housing allowance What is the value of housing allowance What is the value of housing allowance 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. 173 5077 98 33000 2832.445 3692.961 Has worked as an employ at any job in past 7 days Has worked as an employ at any job in past 7 days Has worked as an employ at any job in past 7 days Has worked as an employ at any job in past 7 days Has worked as an employ at any job in past 7 days 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. 831 4419 1 Yes 2 No 8 9 Sysmiss Count of Section C Count of Section C Count of Section C Count of Section C Count of Section C 3812 1438 Line number Line number Line number Line number Line number Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days. 16 5234 ID code ID code ID code ID code ID code ID Code List ID Codes for all who say YES to Sec. A, Question 4. Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days. 3812 1438 Past 7 days worked on hhold shamba Past 7 days worked on hhold shamba Past 7 days worked on hhold shamba Past 7 days worked on hhold shamba Past 7 days worked on hhold shamba 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). Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days. 3812 1438 1 Yes 2 No 9 Sysmiss How much time spend on working in past 7 days How much time spend on working in past 7 days How much time spend on working in past 7 days How much time spend on working in past 7 days How much time spend on working in past 7 days In the past 7 days, how much time did [NAME] spend working on your household's shambas/gardens (e.g., ploughing, planting, weeding, harvesting)? Total hours for a week. Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days. 2807 2443 99 10.103 10.696 How much time spend on preparing in past 7 days How much time spend on preparing in past 7 days How much time spend on preparing in past 7 days How much time spend on preparing in past 7 days How much time spend on preparing in past 7 days 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. Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days. 2805 2445 99 2.732 11.891 Main crops that devoted time - A in past 7 days Main crops that devoted time - A in past 7 days Main crops that devoted time - A in past 7 days Main crops that devoted time - A in past 7 days Main crops that devoted time - A in past 7 days 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? Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days. 2804 2446 1 98 3.543 7.211 1 Maize 2 Wheat 3 Millet or sorghum 4 Rice 5 Beans, peas, cowpeas, other pulses 6 Cabbage 7 Sukuma wiki 8 Spinach 9 Yams or Sweet potatoes 10 Irish potatoes 11 Cassava 12 Groundnuts 13 Sunflower seeds 14 Tomatoes 15 Onions, leeks 16 Eggplant 17 Carrots 18 Capsicums/Green Peppers 19 Chillies 20 Coffee 21 Tea 22 Tobacco 23 Cotton 24 Lumber, wood 25 Oil palm/palm oil 26 Honey or Sugarcane 27 Avocado 28 Bananas 29 Mangoes 30 Oranges/Citrus fruits 31 Pineapple 32 Sugarcane 33 Other fruits (specify) 34 Other vegetables (specify) 98 Sysmiss Main crops that devoted time - B in past 7 days Main crops that devoted time - B in past 7 days Main crops that devoted time - B in past 7 days Main crops that devoted time - B in past 7 days Main crops that devoted time - B in past 7 days 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? Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days. 1718 3532 1 34 10.696 10.549 1 Maize 2 Wheat 3 Millet or sorghum 4 Rice 5 Beans, peas, cowpeas, other pulses 6 Cabbage 7 Sukuma wiki 8 Spinach 9 Yams or Sweet potatoes 10 Irish potatoes 11 Cassava 12 Groundnuts 13 Sunflower seeds 14 Tomatoes 15 Onions, leeks 16 Eggplant 17 Carrots 18 Capsicums/Green Peppers 19 Chillies 20 Coffee 21 Tea 22 Tobacco 23 Cotton 24 Lumber, wood 25 Oil palm/palm oil 26 Honey or Sugarcane 27 Avocado 28 Bananas 29 Mangoes 30 Oranges/Citrus fruits 31 Pineapple 32 Sugarcane 33 Other fruits (specify) 34 Other vegetables (specify) Sysmiss Main crops that devoted time - C in past 7 days Main crops that devoted time - C in past 7 days Main crops that devoted time - C in past 7 days Main crops that devoted time - C in past 7 days Main crops that devoted time - C in past 7 days 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? Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days. 480 4770 1 34 16.2 12.781 1 Maize 2 Wheat 3 Millet or sorghum 4 Rice 5 Beans, peas, cowpeas, other pulses 6 Cabbage 7 Sukuma wiki 8 Spinach 9 Yams or Sweet potatoes 10 Irish potatoes 11 Cassava 12 Groundnuts 13 Sunflower seeds 14 Tomatoes 15 Onions, leeks 16 Eggplant 17 Carrots 18 Capsicums/Green Peppers 19 Chillies 20 Coffee 21 Tea 22 Tobacco 23 Cotton 24 Lumber, wood 25 Oil palm/palm oil 26 Honey or Sugarcane 27 Avocado 28 Bananas 29 Mangoes 30 Oranges/Citrus fruits 31 Pineapple 32 Sugarcane 33 Other fruits (specify) 34 Other vegetables (specify) Sysmiss Main crops that devoted time - D in past 7 days Main crops that devoted time - D in past 7 days Main crops that devoted time - D in past 7 days Main crops that devoted time - D in past 7 days Main crops that devoted time - D in past 7 days 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? Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days. 89 5161 1 34 17.404 12.016 1 Maize 2 Wheat 3 Millet or sorghum 4 Rice 5 Beans, peas, cowpeas, other pulses 6 Cabbage 7 Sukuma wiki 8 Spinach 9 Yams or Sweet potatoes 10 Irish potatoes 11 Cassava 12 Groundnuts 13 Sunflower seeds 14 Tomatoes 15 Onions, leeks 16 Eggplant 17 Carrots 18 Capsicums/Green Peppers 19 Chillies 20 Coffee 21 Tea 22 Tobacco 23 Cotton 24 Lumber, wood 25 Oil palm/palm oil 26 Honey or Sugarcane 27 Avocado 28 Bananas 29 Mangoes 30 Oranges/Citrus fruits 31 Pineapple 32 Sugarcane 33 Other fruits (specify) 34 Other vegetables (specify) Sysmiss Main crops that devoted time - D in past 7 days (Other) Main crops that devoted time - D in past 7 days (Other) Main crops that devoted time - D in past 7 days (Other) Main crops that devoted time - D in past 7 days (Other) Main crops that devoted time - D in past 7 days (Other) 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? Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days. 466 How much earn in from the sales in past 1 month How much earn in from the sales in past 1 month How much earn in from the sales in past 1 month How much earn in from the sales in past 1 month How much earn in from the sales in past 1 month 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. Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days. 2806 2444 420000 666.827 10557.07 Spent any time caring for animals in past 7 days Spent any time caring for animals in past 7 days Spent any time caring for animals in past 7 days Spent any time caring for animals in past 7 days Spent any time caring for animals in past 7 days In the past 7 days, has [NAME] spent any time caring for animals belonging to your household? If answer is 2 > Confirm that answer to 2 is Yes and go to next person. Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days. 3811 1439 1 Yes 2 No 8 9 Sysmiss How many hours spend caring for animals in past 7 days How many hours spend caring for animals in past 7 days How many hours spend caring for animals in past 7 days How many hours spend caring for animals in past 7 days How many hours spend caring for animals in past 7 days 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. Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days. 3203 2047 99 8.793 10.133 How many hours spend collecting products of aniumals in past How many hours spend collecting products of aniumals in past How many hours spend collecting products of aniumals in past How many hours spend collecting products of aniumals in past How many hours spend collecting products of aniumals in past 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 for milking. Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days. 3202 2048 99 1.308 5.797 How much net income did receive in past 1 month How much net income did receive in past 1 month How much net income did receive in past 1 month How much net income did receive in past 1 month How much net income did receive in past 1 month 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. Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days. 3203 2047 29250 338.051 1326.264 Count of Section D Count of Section D Count of Section D Count of Section D Count of Section D 542 4708 1 4 1.432 0.588 Line number Line number Line number Line number Line number 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. All household members 8 years and older who did nonfarm work in a business belonging to the household in the past 7 days 3 5247 ID Code ID Code ID Code ID Code ID Code ID Code All household members 8 years and older who did nonfarm work in a business belonging to the household in the past 7 days 542 4708 What type of business What type of business What type of business What type of business What type of business 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? All household members 8 years and older who did nonfarm work in a business belonging to the household in the past 7 days. 542 4708 4 98 5.572 5.276 1 Crop farmer 2 Animal farmer 3 Housewife 4 Trader/merchant/salesperson 5 Transport worker 6 Construction worker 7 Teacher/education professional 8 Health professional/TBA/trad. Healer 9 Secretary/clerical 10 Factory worker 11 Restaurant/bar/hotel 12 Skilled trades (carpenter, tailor, etc.) 13 Preacher/pastor 14 Village elder 15 Domestic worker 16 Civil Servant/Government 17 Other (specify) 88 No activity/unemployed 98 99 Don’t Know Sysmiss What type of business (Other) What type of business (Other) What type of business (Other) What type of business (Other) What type of business (Other) 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? Other (specify). All household members 8 years and older who did nonfarm work in a business belonging to the household in the past 7 days. How many hours worked in past 7 days How many hours worked in past 7 days How many hours worked in past 7 days How many hours worked in past 7 days How many hours worked in past 7 days 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 nonfarm work in a business belonging to the household in the past 7 days. 542 4708 1 99 29.681 19.822 Number of hours usually work Number of hours usually work Number of hours usually work Number of hours usually work Number of hours usually work Is this the number of hours [NAME] usually works at this business in a week? If answer is 1 > Go to 6 (ind06 - variable name in dataset). All household members 8 years and older who did nonfarm work in a business belonging to the household in the past 7 days. 537 4713 1 Yes 2 No 8 9 Sysmiss For how many hours per week usually work For how many hours per week usually work For how many hours per week usually work For how many hours per week usually work For how many hours per week usually work 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 nonfarm work in a business belonging to the household in the past 7 days. 70 5180 6 99 44.529 26.133 How many weeks during 6 months did work How many weeks during 6 months did work How many weeks during 6 months did work How many weeks during 6 months did work How many weeks during 6 months did work 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 nonfarm work in a business belonging to the household in the past 7 days. 542 4708 99 23.939 12.944 How much net income did receive in past month How much net income did receive in past month How much net income did receive in past month How much net income did receive in past month How much net income did receive in past month 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 nonfarm work in a business belonging to the household in the past 7 days. 542 4708 50000 3090.869 4714.556 Worked in any other business in past 7 days Worked in any other business in past 7 days Worked in any other business in past 7 days Worked in any other business in past 7 days Worked in any other business in past 7 days 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 nonfarm work in a business belonging to the household in the past 7 days. 542 4708 1 Yes 2 No 8 Sysmiss Count of Section E1 Count of Section E1 Count of Section E1 Count of Section E1 Count of Section E1 3527 1723 1 15 5.966 2.541 Line number Line number Line number Line number Line number All household members 8 years and older. 21 5229 ID code ID code ID code ID code ID code ID Code All household members 8 years and older. 3527 1723 What did in main job in past 6 months What did in main job in past 6 months What did in main job in past 6 months What did in main job in past 6 months What did in main job in past 6 months What did [NAME] do in his/her main job or activity in the past 6 months? What did [NAME] do in this work? If answer is 3 or 88 > Go to next person. All household members 8 years and older. 3527 1723 1 99 42.464 41.855 1 Crop farmer 2 Animal farmer 3 Housewife 4 Trader/merchant/salesperson 5 Transport worker 6 Construction worker 7 Teacher/education professional 8 Health professional/TBA/trad. Healer 9 Secretary/clerical 10 Factory worker 11 Restaurant/bar/hotel 12 Skilled trades (carpenter, tailor, etc.) 13 Preacher/pastor 14 Village elder 15 Domestic worker 16 Civil Servant/Government 17 Other (specify) 88 Student 99 Don’t Know Sysmiss What did in main job in past 6 months (Other) What did in main job in past 6 months (Other) What did in main job in past 6 months (Other) What did in main job in past 6 months (Other) What did in main job in past 6 months (Other) What did [NAME] do in his/her main job or activity in the past 6 months? What did [NAME] do in this work? Other (specify). All household members 8 years and older. Job different from past 7 days Job different from past 7 days Job different from past 7 days Job different from past 7 days Job different from past 7 days Interviewer: Is this one of the jobs or activities cited for [NAME] in the past 7 days? If answer is 2 > Go to 5 (ine05 - variable name in dataset). All household members 8 years and older. 1768 3482 1 Yes, already described 2 No, different work 8 Sysmiss Have any other work in past 6 months Have any other work in past 6 months Have any other work in past 6 months Have any other work in past 6 months Have any other work in past 6 months Did [NAME] have any other work or any other jobs in the past 6 months? If answer is 1 > Go to section E2 (income_e2 - name of dataset). If answer is 2 > Verify with Sec.A if no other job in the past 6 months, and go to next person. All household members 8 years and older. 1596 3654 1 Yes 2 No 8 Sysmiss In past 6 months how many weeks did work In past 6 months how many weeks did work In past 6 months how many weeks did work In past 6 months how many weeks did work In past 6 months how many weeks did work In the past 6 months, for how many weeks did [NAME] do this work? Number of weeks. All household members 8 years and older. 168 5082 1 99 16.899 15.316 For how many hours per week usually work For how many hours per week usually work For how many hours per week usually work For how many hours per week usually work For how many hours per week usually work For how many hours per week did [NAME] usually work at this job? Number of hours. All household members 8 years and older. 168 5082 2 99 32.923 25.388 For how many years have done this work -Years For how many years have done this work -Years For how many years have done this work -Years For how many years have done this work -Years For how many years have done this work -Years For how many years has [NAME] done this work? Years. If less than one year, enter number of months. All household members 8 years and older. 168 5082 99 13.911 18.43 For how many years have done this work -Months For how many years have done this work -Months For how many years have done this work -Months For how many years have done this work -Months For how many years have done this work -Months For how many years has [NAME] done this work? Months. If less than one year, enter number of months. All household members 8 years and older. 163 5087 99 39.399 47.32 Was work self-employed in a farm Was work self-employed in a farm Was work self-employed in a farm Was work self-employed in a farm Was work self-employed in a farm In this work, was [NAME] self-employed on a farm or in a business belonging to your household or was [NAME] working for someone else? If answer is 1 > Go to 14 (ine14 - variable name in dataset). If answer is 2 > Go to 20 (ine20 - variable name in dataset). All household members 8 years and older. 168 5082 1 Self-employed farmer or working on family farm 2 Self-employed in business or working in family business 3 Working as an employee for someone else Sysmiss What type of employer did work for in the past days What type of employer did work for in the past days What type of employer did work for in the past days What type of employer did work for in the past days What type of employer did work for in the past days 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. 54 5196 1 Govt./parastatal 2 Private employer 3 Cooperative union 4 NGO 5 Other (specify) Sysmiss Is position temporary or permanent Is position temporary or permanent Is position temporary or permanent Is position temporary or permanent Is position temporary or permanent Is [NAME's] position temporary or permanent? All household members 8 years and older. 54 5196 1 Temporary 2 Permanent Sysmiss Did receive a salary or payment of any kind Did receive a salary or payment of any kind Did receive a salary or payment of any kind Did receive a salary or payment of any kind Did receive a salary or payment of any kind Did [NAME] receive a salary or payment of any kind for this work? If answer is 2 > Go to 13 (ine13 - variable name in dataset). All household members 8 years and older. 54 5196 1 Yes 2 No Sysmiss How much was net salary in past 6 months How much was net salary in past 6 months How much was net salary in past 6 months How much was net salary in past 6 months How much was net salary in past 6 months In the past 12 months, how much was [NAME's] net salary/payment for this work? INCLUDE housing allowances, and value of all other payments in cash or kind. All household members 8 years and older. 52 5198 99 90000 15841.077 23650.288 Done any other work in past 6 months Done any other work in past 6 months Done any other work in past 6 months Done any other work in past 6 months Done any other work in past 6 months Has [NAME] had any other work in the past 6 months? If answer is 1 > Go to section E2 (income_e2 - name of dataset). If answer is 2 > Verify in Sec.A if no other jobs in the past 6 months, and go to next person. All household members 8 years and older. 54 5196 1 Yes 2 No Sysmiss In past 6 months has worked on any shambas In past 6 months has worked on any shambas In past 6 months has worked on any shambas In past 6 months has worked on any shambas In past 6 months has worked on any shambas In the past 6 months, has [NAME] worked on any shambas/garde ns belonging to your household? If answer is 2 > Go to 17 (ine17 - variable name in dataset). All household members 8 years and older. 87 5163 1 Yes 2 No Sysmiss On the shambas which were four main crops - A On the shambas which were four main crops - A On the shambas which were four main crops - A On the shambas which were four main crops - A On the shambas which were four main crops - A On these shambas/gardens belonging to your household, which were the four MAIN crops that [NAME] devoted his/her time to in the past 6 months? All household members 8 years and older. 85 5165 1 99 3.741 11.94 1 Maize 2 Wheat 3 Millet or sorghum 4 Rice 5 Beans, peas, cowpeas, other pulses 6 Cabbage 7 Sukuma wiki 8 Spinach 9 Yams or Sweet potatoes 10 Irish potatoes 11 Cassava 12 Groundnuts 13 Sunflower seeds 14 Tomatoes 15 Onions, leeks 16 Eggplant 17 Carrots 18 Capsicums/Green Peppers 19 Chillies 20 Coffee 21 Tea 22 Tobacco 23 Cotton 24 Lumber, wood 25 Oil palm/palm oil 26 Honey or Sugarcane 27 Avocado 28 Bananas 29 Mangoes 30 Oranges/Citrus fruits 31 Pineapple 32 Sugarcane 33 Other fruits (specify) 34 Other vegetables (specify) 99 Sysmiss On the shambas which were four main crops - B On the shambas which were four main crops - B On the shambas which were four main crops - B On the shambas which were four main crops - B On the shambas which were four main crops - B On these shambas/gardens belonging to your household, which were the four MAIN crops that [NAME] devoted his/her time to in the past 6 months? All household members 8 years and older. 66 5184 1 34 6.955 7.041 1 Maize 2 Wheat 3 Millet or sorghum 4 Rice 5 Beans, peas, cowpeas, other pulses 6 Cabbage 7 Sukuma wiki 8 Spinach 9 Yams or Sweet potatoes 10 Irish potatoes 11 Cassava 12 Groundnuts 13 Sunflower seeds 14 Tomatoes 15 Onions, leeks 16 Eggplant 17 Carrots 18 Capsicums/Green Peppers 19 Chillies 20 Coffee 21 Tea 22 Tobacco 23 Cotton 24 Lumber, wood 25 Oil palm/palm oil 26 Honey or Sugarcane 27 Avocado 28 Bananas 29 Mangoes 30 Oranges/Citrus fruits 31 Pineapple 32 Sugarcane 33 Other fruits (specify) 34 Other vegetables (specify) Sysmiss On the shambas which were four main crops - C On the shambas which were four main crops - C On the shambas which were four main crops - C On the shambas which were four main crops - C On the shambas which were four main crops - C On these shambas/gardens belonging to your household, which were the four MAIN crops that [NAME] devoted his/her time to in the past 6 months? All household members 8 years and older. 39 5211 1 34 16.667 12.679 1 Maize 2 Wheat 3 Millet or sorghum 4 Rice 5 Beans, peas, cowpeas, other pulses 6 Cabbage 7 Sukuma wiki 8 Spinach 9 Yams or Sweet potatoes 10 Irish potatoes 11 Cassava 12 Groundnuts 13 Sunflower seeds 14 Tomatoes 15 Onions, leeks 16 Eggplant 17 Carrots 18 Capsicums/Green Peppers 19 Chillies 20 Coffee 21 Tea 22 Tobacco 23 Cotton 24 Lumber, wood 25 Oil palm/palm oil 26 Honey or Sugarcane 27 Avocado 28 Bananas 29 Mangoes 30 Oranges/Citrus fruits 31 Pineapple 32 Sugarcane 33 Other fruits (specify) 34 Other vegetables (specify) Sysmiss On the shambas which were four main crops - D On the shambas which were four main crops - D On the shambas which were four main crops - D On the shambas which were four main crops - D On the shambas which were four main crops - D On these shambas/gardens belonging to your household, which were the four MAIN crops that [NAME] devoted his/her time to in the past 6 months? All household members 8 years and older. 16 5234 1 34 27 12.633 1 Maize 2 Wheat 3 Millet or sorghum 4 Rice 5 Beans, peas, cowpeas, other pulses 6 Cabbage 7 Sukuma wiki 8 Spinach 9 Yams or Sweet potatoes 10 Irish potatoes 11 Cassava 12 Groundnuts 13 Sunflower seeds 14 Tomatoes 15 Onions, leeks 16 Eggplant 17 Carrots 18 Capsicums/Green Peppers 19 Chillies 20 Coffee 21 Tea 22 Tobacco 23 Cotton 24 Lumber, wood 25 Oil palm/palm oil 26 Honey or Sugarcane 27 Avocado 28 Bananas 29 Mangoes 30 Oranges/Citrus fruits 31 Pineapple 32 Sugarcane 33 Other fruits (specify) 34 Other vegetables (specify) Sysmiss On the shambas which were four main crops - D On the shambas which were four main crops - D On the shambas which were four main crops - D On the shambas which were four main crops - D On the shambas which were four main crops - D On these shambas/gardens belonging to your household, which were the four MAIN crops that [NAME] devoted his/her time to in the past 6 months? Other (specify). All household members 8 years and older. 12 How much net income in past 6 months How much net income in past 6 months How much net income in past 6 months How much net income in past 6 months How much net income in past 6 months In the past 6 months how much net income did [NAME] earn from the sale of these crops? Amount in KSh. All household members 8 years and older. 85 5165 24000 1266.165 4323.474 Has spent any time caring for animals Has spent any time caring for animals Has spent any time caring for animals Has spent any time caring for animals Has spent any time caring for animals In the past 6 months, has [NAME] spent any time caring for animals belonging to your household? If answer is 2 > Go to 21 (ine21 - variable name in dataset). All household members 8 years and older. 87 5163 1 Yes 2 No 9 Sysmiss How much income did receive from the sale of products from a How much income did receive from the sale of products from a How much income did receive from the sale of products from a How much income did receive from the sale of products from a How much income did receive from the sale of products from a In the past 6 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. 77 5173 18000 1254.922 3648.42 Have any other work in past 6 months Have any other work in past 6 months Have any other work in past 6 months Have any other work in past 6 months Have any other work in past 6 months Did [NAME] have any other work or jobs in the past 6 months? If answer is 1 > Go to section E2 (income_e2 - name of dataset). If answer is 2 > Verify in Sec.A if no other job n the past 6 months, and go to next person. All household members 8 years and older. 83 5167 1 Yes 2 No 8 9 Sysmiss What type of business work at in past 6 months What type of business work at in past 6 months What type of business work at in past 6 months What type of business work at in past 6 months What type of business work at in past 6 months 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? All household members 8 years and older. 27 5223 1 Crop farmer 2 Animal farmer 3 Housewife 4 Trader/merchant/salesperson 5 Transport worker 6 Construction worker 7 Teacher/education professional 8 Health professional/TBA/trad. Healer 9 Secretary/clerical 10 Factory worker 11 Restaurant/bar/hotel 12 Skilled trades (carpenter, tailor, etc.) 13 Preacher/pastor 14 Village elder 15 Domestic worker 16 Civil Servant/Government 17 Other (specify) 88 No activity/unemployed 99 Don’t Know Sysmiss What type of business work at in past 6 months (Other) What type of business work at in past 6 months (Other) What type of business work at in past 6 months (Other) What type of business work at in past 6 months (Other) What type of business work at in past 6 months (Other) 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? Other (specify). All household members 8 years and older. How much net income did receive from business How much net income did receive from business How much net income did receive from business How much net income did receive from business How much net income did receive from business How much net income did [NAME] receive from this business in the past 6 months? All household members 8 years and older. 33 5217 124800 10052.667 22404.737 Did have any other work in past 6 months Did have any other work in past 6 months Did have any other work in past 6 months Did have any other work in past 6 months Did have any other work in past 6 months Did [NAME] have any other work or jobs in the past 6 months? If answer is 1 > Go to section E2 (income_e2 - name of dataset). If answer is 2 > Verify in Sec.A if no other job in the past 6 months, and go to next person. All household members 8 years and older. 33 5217 1 Yes 2 No Sysmiss Count of Section E2 Count of Section E2 Count of Section E2 Count of Section E2 Count of Section E2 3526 1724 1 15 5.968 2.54 Line number Line number Line number Line number Line number All household members 8 years and older. 21 5229 ID code ID code ID code ID code ID code ID Code All household members 8 years and older. 3526 1724 What was secondary job in past 6 months What was secondary job in past 6 months What was secondary job in past 6 months What was secondary job in past 6 months What was secondary job in past 6 months 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? If answer is 3 or 88 > Go to next person. All household members 8 years and older. 3526 1724 1 99 5.825 17.71 1 Crop farmer 2 Animal farmer 3 Housewife 4 Trader/merchant/salesperson 5 Transport worker 6 Construction worker 7 Teacher/education professional 8 Health professional/TBA/trad. Healer 9 Secretary/clerical 10 Factory worker 11 Restaurant/bar/hotel 12 Skilled trades (carpenter, tailor, etc.) 13 Preacher/pastor 14 Village elder 15 Domestic worker 16 Civil Servant/Government 17 Other (specify) 88 Student 99 Don’t Know Sysmiss What was secondary job in past 6 months (Other) What was secondary job in past 6 months (Other) What was secondary job in past 6 months (Other) What was secondary job in past 6 months (Other) What was secondary job in past 6 months (Other) 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? Other (specify). All household members 8 years and older. Job same as in the past 7 days Job same as in the past 7 days Job same as in the past 7 days Job same as in the past 7 days Job same as in the past 7 days Interviewer: Is this the same job or activity cited for [NAME] in the past 7 days? If answer is 1 > Go to 7 (inee07 - variable name in dataset). All household members 8 years and older. 3228 2022 1 Yes, already described 2 No, different work 8 Sysmiss Did receive salary or payment of any kind Did receive salary or payment of any kind Did receive salary or payment of any kind Did receive salary or payment of any kind Did receive salary or payment of any kind Did [NAME] receive a salary or payment of any kind for this work? If answer is 2 > Go to 6 (inee06 - variable name in dataset). All household members 8 years and older. 897 4353 1 Yes 2 No 8 Sysmiss In past 6 months how much was net salary In past 6 months how much was net salary In past 6 months how much was net salary In past 6 months how much was net salary In past 6 months how much was net salary In the past 6 months, how much was [NAME's] net salary/payment for this work? Go to 7 (inee07 - variable name in dataset). All household members 8 years and older. 86 5164 105280 4850.198 13561.397 How much net income did receive in past 6 months How much net income did receive in past 6 months How much net income did receive in past 6 months How much net income did receive in past 6 months How much net income did receive in past 6 months How much net income did [NAME] receive in the past 6 months from your household's business or farm? Amount in KSh. All household members 8 years and older. 811 4439 48000 607.755 3836.462 Did any other work in past 6 months Did any other work in past 6 months Did any other work in past 6 months Did any other work in past 6 months Did any other work in past 6 months Did [NAME] do any other work or have any other jobs in the past 6 months that you have not described to me? If answer is 2 > Go to next person. All household members 8 years and older. 3227 2023 1 Yes 2 No 8 9 Sysmiss In past 6 months how much did receive In past 6 months how much did receive In past 6 months how much did receive In past 6 months how much did receive In past 6 months how much did receive In the past 6 months, how much did [NAME] receive from all these other jobs or all of this other work? All household members 8 years and older. 355 4895 90000 1986.065 7689.477 Count of Section F Count of Section F Count of Section F Count of Section F Count of Section F 2239 3011 1 11 3.909 1.951 Line number Line number Line number Line number Line number All individuals in the household that are 18 years or older. 8 5242 ID Code ID Code ID Code ID Code ID Code ID Code All individuals in the household that are 18 years or older. 2239 3011 Pensions or retirement funds Pensions or retirement funds Pensions or retirement funds Pensions or retirement funds Pensions or retirement funds During the past 6 months how much income has [NAME] received from each of the following sources…Pensions or retirement funds? All individuals in the household that are 18 years or older. 2239 3011 120000 325.766 4205.031 Employment, medical or life insurance Employment, medical or life insurance Employment, medical or life insurance Employment, medical or life insurance Employment, medical or life insurance During the past 6 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 18 years or older. 2239 3011 30000 80.393 989.267 Interest on savings, credit union or other account Interest on savings, credit union or other account Interest on savings, credit union or other account Interest on savings, credit union or other account Interest on savings, credit union or other account During the past 6 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 18 years or older. 2239 3011 40000 102.46 1242.543 Lottery winning or games of chance Lottery winning or games of chance Lottery winning or games of chance Lottery winning or games of chance Lottery winning or games of chance During the past 6 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 18 years or older. 2239 3011 99 0.752 8.596 Dowry Dowry Dowry Dowry Dowry During the past 6 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 18 years or older. 2239 3011 40000 74.408 1498.415 Inheritance Inheritance Inheritance Inheritance Inheritance During the past 6 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 18 years or older. 2239 3011 2400000 1380.125 51891.115 Sale of durable goods such as bicycles, cars, radio Sale of durable goods such as bicycles, cars, radio Sale of durable goods such as bicycles, cars, radio Sale of durable goods such as bicycles, cars, radio Sale of durable goods such as bicycles, cars, radio During the past 6 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 18 years or older. 2239 3011 100000 68.757 2345.276 Other sources of income, in cash or kind Other sources of income, in cash or kind Other sources of income, in cash or kind Other sources of income, in cash or kind Other sources of income, in cash or kind During the past 6 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 18 years or older. 2239 3011 102000 130.03 2517.392 Household ID Household ID Household ID Household ID Household ID 1606 103 99999 50074.643 29088.082 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 1606 1 2 3 4 5 6 7 8 9 10 Marriages module Marriages module Marriages module Marriages module Marriages module 1606 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 1606 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 1606 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 1606 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 1606 Biological parents still married Biological parents still married Biological parents still married Biological parents still married Biological parents still married Are your biological parents still married? If asnwer is 1 > Go to 3 (m03 - variable name in dataset). If answer is 0 > Go to 5 (m05 - variable name in dataset). 1606 Never married 1 Yes 2 No Why are they not still married Why are they not still married Why are they not still married Why are they not still married Why are they not still married Why are they not still married? 1034 572 1 Divorce 2 Separation 3 Mother died (first) 4 Father died (first) 8 9 Sysmiss For how many years have they been married For how many years have they been married For how many years have they been married For how many years have they been married For how many years have they been married For how many years were they/have they been married? 1575 31 99 Don’t Know Type of marriege Type of marriege Type of marriege Type of marriege Type of marriege What type of marriage did they have? 1576 30 1 Civil 2 Church/religious 3 Traditional 4 Cohabiting 9 99 Don’t Know Sysmiss Bilogical mother's religion Bilogical mother's religion Bilogical mother's religion Bilogical mother's religion Bilogical mother's religion What is/was your biological mother’s religion/denomination? 1606 No religion 1 Traditional / Tribal Religion 2 Muslim 3 Catholic 4 Anglican 5 Apostolic or New Apostolic Church 6 Assembly of God Church 7 Baptist Church 8 Church of Christ 9 Church of God 10 Gospel / New Testament / Injili Church 11 Harvest Church / Center / Revival 12 Hosana Church 13 Jehovah's Witnesses 14 Legio Maria Church 15 Miracle Church / Center / Revival 16 NENO or Local Believers Church 17 Pentecostal Church 18 Roho Church 19 Salvation Army Church 20 Seventh Day Adventists 21 Voice of Salvation Church 22 Africa Inland Church 23 Quaker/friends Church 24 Other 99 Don’t Know Bilogical father's religion Bilogical father's religion Bilogical father's religion Bilogical father's religion Bilogical father's religion What is/was your biological father’s religion/denomination? 1606 No religion 1 Traditional / Tribal Religion 2 Muslim 3 Catholic 4 Anglican 5 Apostolic or New Apostolic Church 6 Assembly of God Church 7 Baptist Church 8 Church of Christ 9 Church of God 10 Gospel / New Testament / Injili Church 11 Harvest Church / Center / Revival 12 Hosana Church 13 Jehovah's Witnesses 14 Legio Maria Church 15 Miracle Church / Center / Revival 16 NENO or Local Believers Church 17 Pentecostal Church 18 Roho Church 19 Salvation Army Church 20 Seventh Day Adventists 21 Voice of Salvation Church 22 Africa Inland Church 23 Quaker/friends Church 24 Other 98 99 Don’t Know parents argue with each other parents argue with each other parents argue with each other parents argue with each other parents argue with each other Did your biological parents argue/quarrel with each other frequently? If answer is 2 > Go to next section. 1606 1 Yes 2 No 8 9 Ever result in physical violence Ever result in physical violence Ever result in physical violence Ever result in physical violence Ever result in physical violence Did this ever result in physical violence? 933 673 1 Yes 2 No 8 9 Sysmiss Count of marriages Count of marriages Count of marriages Count of marriages Count of marriages 1606 3 0.695 0.511 Previous marraige count Previous marraige count Previous marraige count Previous marraige count Previous marraige count 1606 2 0.243 0.44 Household ID Household ID Household ID Household ID Household ID 1116 103 99975 49516.434 29436.508 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 1116 1 2 3 4 7 8 9 Marriages module Marriages module Marriages module Marriages module Marriages module 1116 1 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 1116 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 1116 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 1116 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 1116 Count of marriages Count of marriages Count of marriages Count of marriages Count of marriages 1116 1 3 1.07 0.312 Count Count Count Count Count 3 1113 1 1 1 Household ID of partner Household ID of partner Household ID of partner Household ID of partner Household ID of partner If not currently married or cohabitating, or if spouse died earlier > Go to section C (marriage_c - name of dataset). 9 1107 HHID/IRID of partner HHID/IRID of partner HHID/IRID of partner HHID/IRID of partner HHID/IRID of partner Please list all of the people you are currently married to or are living with. * List HHID or IRID of partner 1114 2 Duration been living with this person Duration been living with this person Duration been living with this person Duration been living with this person Duration been living with this person How long have you been married to/living with this person? [Number of years] 1116 99 20.279 16.311 How living arrangement begin How living arrangement begin How living arrangement begin How living arrangement begin How living arrangement begin How did this union/living arrangement begin? 1116 1 Pre-marital cohabitation 2 Church/religious ceremony 3 Civil ceremony 4 Traditional ceremony 5 Inherited spouse 6 Other (specify) Living arrangement - Other Living arrangement - Other Living arrangement - Other Living arrangement - Other Living arrangement - Other How did this union/living arrangement begin? Other (specify). Most recent status of the union Most recent status of the union Most recent status of the union Most recent status of the union Most recent status of the union What is the most recent status of the union/living arrangement? 1115 1 1 Cohabitation 2 Church/religious ceremony 3 Civil ceremony 4 Traditional ceremony Sysmiss Currently live in same house Currently live in same house Currently live in same house Currently live in same house Currently live in same house Do you currently live in the same house as this person? 987 129 1 Yes 2 No 8 Sysmiss Year when married Year when married Year when married Year when married Year when married In what year were you married? Either religious, civil or traditional ceremony. 987 129 99 2004 1966.024 179.78 99 1939 1942 1944 1945 1946 1947 1948 1949 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 Sysmiss Value of gift given by family to spouse family Value of gift given by family to spouse family Value of gift given by family to spouse family Value of gift given by family to spouse family Value of gift given by family to spouse family What was the total value, at that time, of all gifts given by your family to your spouse’s family? Probe for items and values 986 130 400000 11041.43 21979.427 Value of gift given to your family by spouse family Value of gift given to your family by spouse family Value of gift given to your family by spouse family Value of gift given to your family by spouse family Value of gift given to your family by spouse family What was the total value, at that time, of all gifts given by your spouse’s family to your family? Probe for items and values 986 130 105000 11190.013 17162.595 Value of gift given to you & your spouse by your family Value of gift given to you & your spouse by your family Value of gift given to you & your spouse by your family Value of gift given to you & your spouse by your family Value of gift given to you & your spouse by your family What was the total value, at that time, of all gifts given by your family to you and your spouse to establish your household? Probe for items and values 986 130 1000000 6731.486 50455.11 Value of gift given to you & your spouse by spouse family Value of gift given to you & your spouse by spouse family Value of gift given to you & your spouse by spouse family Value of gift given to you & your spouse by spouse family Value of gift given to you & your spouse by spouse family What was the total value, at that time, of all gifts given by your spouse’s family to you and your spouse to establish your household? Probe for items and values 986 130 30000 1596.896 3311.303 Value of gift given to you & your spouse by non-family membe Value of gift given to you & your spouse by non-family membe Value of gift given to you & your spouse by non-family membe Value of gift given to you & your spouse by non-family membe Value of gift given to you & your spouse by non-family membe What was the value of all gifts and assistance given by non-family members to you and your spouse to establish your household? Probe for items and values 986 130 120000 1208.207 4515.993 Value of properties that spouse owned at time of marriage Value of properties that spouse owned at time of marriage Value of properties that spouse owned at time of marriage Value of properties that spouse owned at time of marriage Value of properties that spouse owned at time of marriage Aside from these gifts, what was the total value of all things such as houses, money, land, and household goods, that your spouse herself/himself owned at the time of marriage? 986 130 2050000 30149.968 134404.819 Value of properties you owned at the time of marriage Value of properties you owned at the time of marriage Value of properties you owned at the time of marriage Value of properties you owned at the time of marriage Value of properties you owned at the time of marriage Aside from these gifts, what was the total value of all things such as houses, money, land, and household goods, that you yourself owned at the time of marriage? 986 130 3450000 26378.743 162358.687 When spouse goes to health facility has permission When spouse goes to health facility has permission When spouse goes to health facility has permission When spouse goes to health facility has permission When spouse goes to health facility has permission Male: When your wife goes to a health facility, does she have to ask permission from you, or just inform you, or can she go on her own without telling you? Female: When you go to a health facility, do you have to ask permission from your husband, or do you just inform him, or can you go on your own without telling him? 1115 1 1 She asks 2 She informs 3 Goes on own / doesn’t need to inform 8 99 Don’t Know Sysmiss When spouse goes to market ask for permision When spouse goes to market ask for permision When spouse goes to market ask for permision When spouse goes to market ask for permision When spouse goes to market ask for permision Male: When your wife goes to the market, does she have to ask permission from you, just inform you, or can she go on her own without telling you? Female: When you go to the market, do you have to ask permission from your husband, or do you just inform him, or can you go on your own without telling him? 1115 1 1 She asks 2 She informs 3 Goes on own / doesn’t need to inform 8 99 Don’t Know Sysmiss When spouse goes to visit others ask for permission When spouse goes to visit others ask for permission When spouse goes to visit others ask for permission When spouse goes to visit others ask for permission When spouse goes to visit others ask for permission Male: When your wife goes to visit others in the village, does she have to ask permission from you, just inform you, or can she go on her own without telling you? Female: When you go visit others in the village, do you have to ask permission from your husband, or do you just inform him, or can you go on your own without telling him? 1115 1 1 She asks 2 She informs 3 Goes on own / doesn’t need to inform 8 99 Don’t Know Sysmiss Who is responsible for deciding where to get medical treatme Who is responsible for deciding where to get medical treatme Who is responsible for deciding where to get medical treatme Who is responsible for deciding where to get medical treatme Who is responsible for deciding where to get medical treatme Who is responsible for deciding where to get medical treatment for your children living with you in the household? 1115 1 1 Respondent only 2 Spouse only 3 Both 4 Other resident family member 5 Not Applicable (no children) 8 Sysmiss Discussed ways to prevent malaria Discussed ways to prevent malaria Discussed ways to prevent malaria Discussed ways to prevent malaria Discussed ways to prevent malaria Have you discussed ways to prevent malaria with your spouse? 1115 1 1 Yes 2 No 8 Sysmiss Talked with spouse on how to protect against AIDS Talked with spouse on how to protect against AIDS Talked with spouse on how to protect against AIDS Talked with spouse on how to protect against AIDS Talked with spouse on how to protect against AIDS Have you talked to your spouse about what you and he/she can do to protect against AIDS? If answer is 2 > Go to 21 (mb21 - variable name in dataset). Men less than 59 years, women less than 49 years. 880 236 1 Yes 2 No 8 Sysmiss What spouse think is the best protection against AIDS What spouse think is the best protection against AIDS What spouse think is the best protection against AIDS What spouse think is the best protection against AIDS What spouse think is the best protection against AIDS What did he/she think was the best protection against AIDS? Men less than 59 years, women less than 49 years. 771 345 1 Sex only with spouse 2 Condom with spouse/partner 3 Condom with extra-marital partner(s) 4 Abstain 5 Other (specify) 8 9 Sysmiss Best protection - Other Best protection - Other Best protection - Other Best protection - Other Best protection - Other What did he/she think was the best protection against AIDS? Other (specific). Men less than 59 years, women less than 49 years. 1 GET SAVED How often talk with spouse about chances of getting HIV How often talk with spouse about chances of getting HIV How often talk with spouse about chances of getting HIV How often talk with spouse about chances of getting HIV How often talk with spouse about chances of getting HIV How often have you talked with your spouse about the chances you or she might get infected with AIDS? If answer is 4 > Go to 23 (mb23 - variable name in dataset). Men less than 59 years, women less than 49 years. 879 237 1 Often 2 Sometimes 3 Rarely 4 Never 8 Sysmiss Last time with spouse about it Last time with spouse about it Last time with spouse about it Last time with spouse about it Last time with spouse about it When was the last time you talked about it with your spouse? Men less than 59 years, women less than 49 years. 792 324 1 Within the past week 2 Within the past month 3 Within the past year 4 Within the past five years 8 88 Don’t recall Sysmiss Would feel confortable suggest the use of condom Would feel confortable suggest the use of condom Would feel confortable suggest the use of condom Would feel confortable suggest the use of condom Would feel confortable suggest the use of condom Would you feel comfortable suggesting to your partner that you and he/she use condoms? Men less than 59 years, women less than 49 years. 876 240 1 Yes 2 No 8 9 Sysmiss Ever argued with wife/partner Ever argued with wife/partner Ever argued with wife/partner Ever argued with wife/partner Ever argued with wife/partner Have you ever argued/quarreled with this wife/partner? If answer is 2 > Go to section C (marriage_c - name of dataset). 1114 2 1 Yes 2 No 8 Sysmiss How often quarrel How often quarrel How often quarrel How often quarrel How often quarrel How often do you argue/quarrel with this wife/partner? If answer is 1 > Go to section C (marriage_c - name of dataset). 867 249 1 Never 2 Sometimes 3 Often 8 Sysmiss Main reason quarrel Main reason quarrel Main reason quarrel Main reason quarrel Main reason quarrel What is the main reason why you argue or quarrel? 866 250 1 98 4.871 11.219 1 2 3 4 5 6 7 98 Sysmiss Result in physical violence Result in physical violence Result in physical violence Result in physical violence Result in physical violence Does this ever result in physical violence? If answer is 2 > Go to section C (marriage_c - name of dataset). 864 252 1 Yes 2 No 8 Sysmiss How frequently has happened in last 12 months How frequently has happened in last 12 months How frequently has happened in last 12 months How frequently has happened in last 12 months How frequently has happened in last 12 months How frequently has this happened in the past 12 months? 276 840 98 5.442 21.47 Household ID Household ID Household ID Household ID Household ID 390 197 99999 51615.613 28388.729 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 390 1 2 3 5 6 8 Marriages module Marriages module Marriages module Marriages module Marriages module 390 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 390 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 390 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 390 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 390 Count Count Count Count Count 2 388 1 1 1 Ever been married before Ever been married before Ever been married before Ever been married before Ever been married before If no previous marriages > Go to next module. Beside this current marriage, have you ever been married before? Probe for divorce and death of previous spouses. 389 Year when married Year when married Year when married Year when married Year when married In what year were you married? 390 How long were married How long were married How long were married How long were married How long were married How long were you married to this person? 390 99 17.428 15.608 Why no longer married Why no longer married Why no longer married Why no longer married Why no longer married Why are you no longer married? If answer is 1, 2 or 4 > Go to 8 (mc08 - variable name in dataset). 390 1 Divorce 2 Separation 3 Spouse died 4 Abandoned When spouse died When spouse died When spouse died When spouse died When spouse died In what year did the spouse die? 266 124 Why did spouse die Why did spouse die Why did spouse die Why did spouse die Why did spouse die Why did the spouse die? If answer is 2, 3, 4, 5, 6 or 7 > Go to 8 (mc08 - variable name in dataset). 266 124 1 Illness 2 Traffic accident 3 Childbirth or complications 4 Homicide 5 Suicide 6 Other accident or injury 7 Other (specify) Sysmiss Why spouse died - Other Why spouse died - Other Why spouse died - Other Why spouse died - Other Why spouse died - Other Why did the spouse die? Other (specify). 9 Illness died from Illness died from Illness died from Illness died from Illness died from What illness did they die from? 390 1 HIV/AIDS 2 Asthma 3 Bilharzia/ Shistosomiasis 4 Cancer 5 Diarrhea 6 Dysentry 7 Fracture/break 8 Gnorrhea 9 Intestinal Parisites 10 Malaria 11 Malnutrition (Kwashiorkor/Marasmus) 12 Measles 13 Meningitis 14 Poisoning 15 Polio 16 Syphilis 17 Tetanus 18 Tuberculosis 19 Typhoid 20 Urinary Infection 21 Witchcraft 22 Other STD (specify) 23 Other illness (specify) 24 Other injury (specify) 99 Don’t know Illness died from - Other Illness died from - Other Illness died from - Other Illness died from - Other Illness died from - Other What illness did they die from? Other (specify). How many children had with this person How many children had with this person How many children had with this person How many children had with this person How many children had with this person How many children did you have with this person? 0 if no children. If answer is 0 > Go to 10 (mc10 - variable name in dataset). 390 98 4.423 5.593 Where children live - With respondent Where children live - With respondent Where children live - With respondent Where children live - With respondent Where children live - With respondent Where do those children live now? With me. Enter number of children from marriage in each of the following categories. 346 Where children live - With spouse Where children live - With spouse Where children live - With spouse Where children live - With spouse Where children live - With spouse Where do those children live now? With spouse. Enter number of children from marriage in each of the following categories. 315 Where children live - With resp. family Where children live - With resp. family Where children live - With resp. family Where children live - With resp. family Where children live - With resp. family Where do those children live now? With my family. Enter number of children from marriage in each of the following categories. 317 Where children live - With spouse family Where children live - With spouse family Where children live - With spouse family Where children live - With spouse family Where children live - With spouse family Where do those children live now? With spouse’s family. Enter number of children from marriage in each of the following categories. 314 Where children live - Dead Where children live - Dead Where children live - Dead Where children live - Dead Where children live - Dead Where do those children live now? Dead. Enter number of children from marriage in each of the following categories. 315 Where children live - Independent Where children live - Independent Where children live - Independent Where children live - Independent Where children live - Independent Where do those children live now? Independent. Enter number of children from marriage in each of the following categories. 335 Where children live - Other Where children live - Other Where children live - Other Where children live - Other Where children live - Other Where do those children live now? Other (specify). Enter number of children from marriage in each of the following categories. 301 Where children live - Other Where children live - Other Where children live - Other Where children live - Other Where children live - Other Where do those children live now? Other (specify). Enter number of children from marriage in each of the following categories. 5 Value of assets that remained when marriage ended Value of assets that remained when marriage ended Value of assets that remained when marriage ended Value of assets that remained when marriage ended Value of assets that remained when marriage ended At the time the marriage ended, what was the value of assets that you remained with (and had control of)? Probe main assets and their value (land, equipment, household goods, other, etc.) 390 33330000 581916.613 2246342.117 Household ID Household ID Household ID Household ID Household ID 283 197 99999 51312.488 28802.78 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 283 1 2 3 5 8 Mortality Module Mortality Module Mortality Module Mortality Module Mortality Module 283 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 283 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 283 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 283 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 283 Anyone died in last 5 years Anyone died in last 5 years Anyone died in last 5 years Anyone died in last 5 years Anyone died in last 5 years Has anyone who was residing in your household died in the past five years – that is since…(same month, 5 years ago)? Probe for old people and infants, and check Section 4 of of the Household Roster. 283 1 Yes 2 No Count of deaths Count of deaths Count of deaths Count of deaths Count of deaths 283 1 3 1.219 0.463 Count Count Count Count Count 2 281 1 1 1 Name of deceased Name of deceased Name of deceased Name of deceased Name of deceased NAME of deceased person. ID code ID code ID code ID code ID code ID Code of deceased person (from round 1 household roster, if applicable). 31 Sex Sex Sex Sex Sex Sex of [NAME] 283 1 Male 2 Female Relationship Relationship Relationship Relationship Relationship What was the relation between [NAME] and the respondent? 283 1 Self 2 Spouse 3 Son 4 Daughter 5 Father 6 Mother 7 Grandson 8 Granddaughter 9 Grandfather 10 Grandmother 11 Brother 12 Sister 13 Uncle 14 Aunt 15 Co-wife 16 Cousin 17 Niece 18 Nephew 19 Stepchild 20 Foster child 30 Local Friend/Neighbor 31 Non-resident Friend 32 Village head 33 Lineage head 34 Househelper 35 Employee 36 Employer 37 Landlord 38 Tenant/Renter 39 Priest 40 Trader 41 Other (specify) 99 Don’t Know 103 Son in law 104 Daughter in law 105 Father in law 106 Mother in law 110 Grandmother in law 111 Brother in law 112 Sister in law Relationship - Other Relationship - Other Relationship - Other Relationship - Other Relationship - Other What was the relation between [NAME] and the respondent? Other (specify). 5 Age when died Age when died Age when died Age when died Age when died How old was [NAME] when he/she passed away? 283 129 40.77 27.57 Was HH head Was HH head Was HH head Was HH head Was HH head Was [NAME] the household head before he/she passed away? 283 1 Yes 2 No Natural parent living in HH hold Natural parent living in HH hold Natural parent living in HH hold Natural parent living in HH hold Natural parent living in HH hold Did [NAME] have a natural parent living in this household at the time of death? If answer is 2 > Go to 10 (mort10 - variable name in dataset). 283 1 Yes 2 No Parents - Father ID Parents - Father ID Parents - Father ID Parents - Father ID Parents - Father ID Who are the parents of [NAME]? Father ID. * Copy ID code of mother and father. * 88 (not resident) and 98 (deceased). 83 200 Parents - Mother ID Parents - Mother ID Parents - Mother ID Parents - Mother ID Parents - Mother ID Who are the parents of [NAME]? Mother ID. * Copy ID code of mother and father. * 88 (not resident) and 98 (deceased). 84 199 Was older than 12 years Was older than 12 years Was older than 12 years Was older than 12 years Was older than 12 years Interviewer: Was [NAME] older than 12 years at the time of his/her death? If answer is 2 > Go to 17 (mort17 - variable name in dataset). 283 1 Yes 2 No Was married at the time of death Was married at the time of death Was married at the time of death Was married at the time of death Was married at the time of death Was [NAME] married at the time of his/her death? If answer is 2 > Go to 14 (mort14 - variable name in dataset). 230 53 1 Yes 2 No Sysmiss Spouse live in household Spouse live in household Spouse live in household Spouse live in household Spouse live in household Does the husband/wife of this person live in this household? If answer is 2 > Go to 14 (mort14 - variable name in dataset). 172 111 1 Yes 2 No Sysmiss Spouse ID code Spouse ID code Spouse ID code Spouse ID code Spouse ID code Record the ID code of the wife or husband from the household roster. 153 130 Had any children before died Had any children before died Had any children before died Had any children before died Had any children before died Did [NAME] have any children living in this household? If answer is 2 > Go to 16 (mort16 - variable name in dataset). 230 53 1 Yes 2 No Sysmiss ID code of children - 1 ID code of children - 1 ID code of children - 1 ID code of children - 1 ID code of children - 1 Record the ID codes of all of the children (adults and youngsters) of [NAME] who are household members. 188 95 ID code of children - 2 ID code of children - 2 ID code of children - 2 ID code of children - 2 ID code of children - 2 Record the ID codes of all of the children (adults and youngsters) of [NAME] who are household members. 132 151 ID code of children - 3 ID code of children - 3 ID code of children - 3 ID code of children - 3 ID code of children - 3 Record the ID codes of all of the children (adults and youngsters) of [NAME] who are household members. 92 191 ID code of children - 4 ID code of children - 4 ID code of children - 4 ID code of children - 4 ID code of children - 4 Record the ID codes of all of the children (adults and youngsters) of [NAME] who are household members. 57 226 ID code of children - 5 ID code of children - 5 ID code of children - 5 ID code of children - 5 ID code of children - 5 Record the ID codes of all of the children (adults and youngsters) of [NAME] who are household members. 33 250 ID code of children - 6 ID code of children - 6 ID code of children - 6 ID code of children - 6 ID code of children - 6 Record the ID codes of all of the children (adults and youngsters) of [NAME] who are household members. 14 269 ID code of children - 7 ID code of children - 7 ID code of children - 7 ID code of children - 7 ID code of children - 7 Record the ID codes of all of the children (adults and youngsters) of [NAME] who are household members. 4 279 Kind of work person did Kind of work person did Kind of work person did Kind of work person did Kind of work person did What kind of work did this person do for most of his/her life? 230 53 1 99 8.617 13.561 1 Crop farmer 2 Animal farmer 3 Housewife 4 Trader/merchant/salesperson 5 Transport worker 6 Construction worker 7 Teacher/education professional 8 Health professional/TBA/trad. Healer 9 Secretary/clerical 10 Factory worker 11 Restaurant/bar/hotel 12 Skilled trades (carpenter, tailor, etc.) 13 Preacher/pastor 14 Village elder 15 Domestic worker 16 Civil Servant/Government 17 Other (specify) 88 No activity/unemployed 99 Don’t Know Kind of work - Other Kind of work - Other Kind of work - Other Kind of work - Other Kind of work - Other What kind of work did this person do for most of his/her life? Other (specify). Ever attend school Ever attend school Ever attend school Ever attend school Ever attend school Did [NAME] ever attend school? If answer is 2 > Go to 19 (mort19 - variable name in dataset). 283 1 Yes 2 No 8 Highest grade - Level Highest grade - Level Highest grade - Level Highest grade - Level Highest grade - Level What was the highest grade [NAME] completed? Level. 187 96 1 Nursery 2 Primary 3 Secondary 4 Post-sec. 9 Sysmiss Highest grade - # of years Highest grade - # of years Highest grade - # of years Highest grade - # of years Highest grade - # of years What was the highest grade [NAME] completed? Number of years. 187 96 1 99 5.492 9.966 When died - Month When died - Month When died - Month When died - Month When died - Month NOW I WOULD LIKE TO ASK YOU ABOUT CIRCUMSTANCES SURROUNDING NAME’s DEATH. In what month and year did [NAME] die? Month. 283 When died - Year When died - Year When died - Year When died - Year When died - Year NOW I WOULD LIKE TO ASK YOU ABOUT CIRCUMSTANCES SURROUNDING NAME's DEATH. In what month and year did [NAME] die? Year. 283 Cause of death Cause of death Cause of death Cause of death Cause of death What was the cause of [NAME’s] death? If answer is 1 > Go to 21 (mort21 - variable name in dataset). If answer is 2, 3, 4, 5, 6 or 7 > Go to 36 (mort36 - variable name in dataset). If answer is 99 > Go to 25 (mort25a - variable name in dataset). 283 1 Illness 2 Traffic accident 3 Childbirth or complications 4 Homicide 5 Suicide 6 Other accident or injury 7 Other (specify) 9 99 Don’t Know Cause of death - Other Cause of death - Other Cause of death - Other Cause of death - Other Cause of death - Other What was the cause of [NAME’s] death? 13 Ever seek medical treatment for condition Ever seek medical treatment for condition Ever seek medical treatment for condition Ever seek medical treatment for condition Ever seek medical treatment for condition Did [NAME] ever seek medical treatment for the condition that led to his/her death? If answer is 2 > Go to 24 (mort24 - variable name in dataset). 250 33 1 Yes 2 No 8 Sysmiss Health practitioners visited - 1 Health practitioners visited - 1 Health practitioners visited - 1 Health practitioners visited - 1 Health practitioners visited - 1 Which health practitioners/establishments did [NAME] visit? * List up to three practitioner codes. 242 41 1 98 3.322 6.487 1 National Referral Hosp. (Kenyatta, Moi) 2 Government District/Provincial Hosp. 3 Mosoriot Rural Health Center 4 Government Health Center (exc. Mosoriot) 5 Government dispensary 6 Mission hospital/clinic 7 Other private hospital/clinic 8 Chemist/pharmacy 9 Private doctor (like priv. clinic) 10 Mobile clinic 11 Community health worker 12 Retail shop 13 Herbalist/traditional healer 14 Relative/friend 15 Other (specify) Health practitioners visited - 2 Health practitioners visited - 2 Health practitioners visited - 2 Health practitioners visited - 2 Health practitioners visited - 2 Which health practitioners/establishments did [NAME] visit? * List up to three practitioner codes. 122 161 1 National Referral Hosp. (Kenyatta, Moi) 2 Government District/Provincial Hosp. 3 Mosoriot Rural Health Center 4 Government Health Center (exc. Mosoriot) 5 Government dispensary 6 Mission hospital/clinic 7 Other private hospital/clinic 8 Chemist/pharmacy 9 Private doctor (like priv. clinic) 10 Mobile clinic 11 Community health worker 12 Retail shop 13 Herbalist/traditional healer 14 Relative/friend 15 Other (specify) Sysmiss Health practitioners visited - 3 Health practitioners visited - 3 Health practitioners visited - 3 Health practitioners visited - 3 Health practitioners visited - 3 Which health practitioners/establishments did [NAME] visit? * List up to three practitioner codes. 35 248 1 National Referral Hosp. (Kenyatta, Moi) 2 Government District/Provincial Hosp. 3 Mosoriot Rural Health Center 4 Government Health Center (exc. Mosoriot) 5 Government dispensary 6 Mission hospital/clinic 7 Other private hospital/clinic 8 Chemist/pharmacy 9 Private doctor (like priv. clinic) 10 Mobile clinic 11 Community health worker 12 Retail shop 13 Herbalist/traditional healer 14 Relative/friend 15 Other (specify) Sysmiss Health practitioners - Other Health practitioners - Other Health practitioners - Other Health practitioners - Other Health practitioners - Other Which health practitioners/establishments did [NAME] visit? Other (specify). * List up to three practitioner codes. Illness health practitioner report Illness health practitioner report Illness health practitioner report Illness health practitioner report Illness health practitioner report What illness did the health practitioner report that [NAME] was suffering from? 283 1 HIV/AIDS 2 Asthma 3 Bilharzia/ Shistosomiasis 4 Cancer 5 Diarrhea 6 Dysentry 7 Fracture/break 8 Gnorrhea 9 Intestinal Parisites 10 Malaria 11 Malnutrition (Kwashiorkor/Marasmus) 12 Measles 13 Meningitis 14 Poisoning 15 Polio 16 Syphilis 17 Tetanus 18 Tuberculosis 19 Typhoid 20 Urinary Infection 21 Witchcraft 22 Other STD (specify) 23 Other illness (specify) 24 Other injury (specify) 99 Don’t know Illness practitioner report - Other Illness practitioner report - Other Illness practitioner report - Other Illness practitioner report - Other Illness practitioner report - Other What illness did the health practitioner report that [NAME] was suffering from? Other (specify). Illness respondent think Illness respondent think Illness respondent think Illness respondent think Illness respondent think What illness do you think [NAME] was suffering from? 283 1 HIV/AIDS 2 Asthma 3 Bilharzia/ Shistosomiasis 4 Cancer 5 Diarrhea 6 Dysentry 7 Fracture/break 8 Gnorrhea 9 Intestinal Parisites 10 Malaria 11 Malnutrition (Kwashiorkor/Marasmus) 12 Measles 13 Meningitis 14 Poisoning 15 Polio 16 Syphilis 17 Tetanus 18 Tuberculosis 19 Typhoid 20 Urinary Infection 21 Witchcraft 22 Other STD (specify) 23 Other illness (specify) 24 Other injury (specify) 99 Don’t know Sysmiss Illness respondent - Other Illness respondent - Other Illness respondent - Other Illness respondent - Other Illness respondent - Other What illness do you think [NAME] was suffering from? Other (specify). Symptoms had - 1 Symptoms had - 1 Symptoms had - 1 Symptoms had - 1 Symptoms had - 1 Please describe the symptoms [NAME] had during his/her illness? * List up to five symptoms. 251 32 1 98 14.064 12.685 1 Diarrhea (acute) 2 Diarrhea (chronic, 1 month or more) 3 Weight loss (major) 4 Fever (acute) 5 Fever (recurring) 6 Skin rash 7 Weakness 8 Severe headache 9 Fainting 10 Chills (feeling hot and cold) 11 Vomiting 12 Cough 13 Productive cough 14 Coughing blood 15 Pain on passing urine 16 Genital sores 17 Mental disorder 18 Abdominal pain 19 Sore throat 20 Difficulty breathing 21 Burn 22 Fracture 23 Wound 24 Child birth 25 Ameobeosis 26 Other (specify) Symptoms had - 2 Symptoms had - 2 Symptoms had - 2 Symptoms had - 2 Symptoms had - 2 Please describe the symptoms [NAME] had during his/her illness? * List up to five symptoms. 204 79 1 32 11.093 9.055 1 Diarrhea (acute) 2 Diarrhea (chronic, 1 month or more) 3 Weight loss (major) 4 Fever (acute) 5 Fever (recurring) 6 Skin rash 7 Weakness 8 Severe headache 9 Fainting 10 Chills (feeling hot and cold) 11 Vomiting 12 Cough 13 Productive cough 14 Coughing blood 15 Pain on passing urine 16 Genital sores 17 Mental disorder 18 Abdominal pain 19 Sore throat 20 Difficulty breathing 21 Burn 22 Fracture 23 Wound 24 Child birth 25 Ameobeosis 26 Other (specify) Symptoms had - 3 Symptoms had - 3 Symptoms had - 3 Symptoms had - 3 Symptoms had - 3 Please describe the symptoms [NAME] had during his/her illness? * List up to five symptoms. 132 151 1 32 10.144 7.754 1 Diarrhea (acute) 2 Diarrhea (chronic, 1 month or more) 3 Weight loss (major) 4 Fever (acute) 5 Fever (recurring) 6 Skin rash 7 Weakness 8 Severe headache 9 Fainting 10 Chills (feeling hot and cold) 11 Vomiting 12 Cough 13 Productive cough 14 Coughing blood 15 Pain on passing urine 16 Genital sores 17 Mental disorder 18 Abdominal pain 19 Sore throat 20 Difficulty breathing 21 Burn 22 Fracture 23 Wound 24 Child birth 25 Ameobeosis 26 Other (specify) Symptoms had - 4 Symptoms had - 4 Symptoms had - 4 Symptoms had - 4 Symptoms had - 4 Please describe the symptoms [NAME] had during his/her illness? * List up to five symptoms. 65 218 1 32 9.769 8.744 1 Diarrhea (acute) 2 Diarrhea (chronic, 1 month or more) 3 Weight loss (major) 4 Fever (acute) 5 Fever (recurring) 6 Skin rash 7 Weakness 8 Severe headache 9 Fainting 10 Chills (feeling hot and cold) 11 Vomiting 12 Cough 13 Productive cough 14 Coughing blood 15 Pain on passing urine 16 Genital sores 17 Mental disorder 18 Abdominal pain 19 Sore throat 20 Difficulty breathing 21 Burn 22 Fracture 23 Wound 24 Child birth 25 Ameobeosis 26 Other (specify) Symptoms had - 5 Symptoms had - 5 Symptoms had - 5 Symptoms had - 5 Symptoms had - 5 Please describe the symptoms [NAME] had during his/her illness? * List up to five symptoms. 35 248 1 32 9.571 7.8 1 Diarrhea (acute) 2 Diarrhea (chronic, 1 month or more) 3 Weight loss (major) 4 Fever (acute) 5 Fever (recurring) 6 Skin rash 7 Weakness 8 Severe headache 9 Fainting 10 Chills (feeling hot and cold) 11 Vomiting 12 Cough 13 Productive cough 14 Coughing blood 15 Pain on passing urine 16 Genital sores 17 Mental disorder 18 Abdominal pain 19 Sore throat 20 Difficulty breathing 21 Burn 22 Fracture 23 Wound 24 Child birth 25 Ameobeosis 26 Other (specify) Symptoms had - 5 (Other) Symptoms had - 5 (Other) Symptoms had - 5 (Other) Symptoms had - 5 (Other) Symptoms had - 5 (Other) Please describe the symptoms [NAME] had during his/her illness? Other (specify). * List up to five symptoms. 53 Had diarrhea for a month or more Had diarrhea for a month or more Had diarrhea for a month or more Had diarrhea for a month or more Had diarrhea for a month or more LEAVE BLANK and DO NOT ASK QUESTION IF SYMPTOM HAS ALREADY BEEN REPORTED BY THE RESPONDENT. [If diarrhoea not cited]… Did [NAME] have diarrhoea for a month or more? 244 39 1 Yes 2 No 8 Sysmiss Continously lose weight Continously lose weight Continously lose weight Continously lose weight Continously lose weight LEAVE BLANK and DO NOT ASK QUESTION IF SYMPTOM HAS ALREADY BEEN REPORTED BY THE RESPONDENT. [If weight loss not cited]… Did [NAME] continuously lose weight in the six months before his/her death? 241 42 1 Yes 2 No 8 Sysmiss Had skin rush in six months before died Had skin rush in six months before died Had skin rush in six months before died Had skin rush in six months before died Had skin rush in six months before died LEAVE BLANK and DO NOT ASK QUESTION IF SYMPTOM HAS ALREADY BEEN REPORTED BY THE RESPONDENT. [If skin rash not cited]… Did [NAME] have a skin rash in the six months before his/her death? 247 36 1 Yes 2 No 8 Sysmiss Suffer from a persistent sore throat before died Suffer from a persistent sore throat before died Suffer from a persistent sore throat before died Suffer from a persistent sore throat before died Suffer from a persistent sore throat before died LEAVE BLANK and DO NOT ASK QUESTION IF SYMPTOM HAS ALREADY BEEN REPORTED BY THE RESPONDENT. [If sore throat not cited]… Did [NAME] suffer from a persistent sore throat in the six months before his/her death? 252 31 1 Yes 2 No 8 Sysmiss Suffer from a fever in six months before died Suffer from a fever in six months before died Suffer from a fever in six months before died Suffer from a fever in six months before died Suffer from a fever in six months before died LEAVE BLANK and DO NOT ASK QUESTION IF SYMPTOM HAS ALREADY BEEN REPORTED BY THE RESPONDENT. [If fever not cited]… Did [NAME] suffer from a fever in the six months before his/her death? 246 37 1 Yes 2 No 8 Sysmiss How long suffered from illness before death - Amount How long suffered from illness before death - Amount How long suffered from illness before death - Amount How long suffered from illness before death - Amount How long suffered from illness before death - Amount For how long was [NAME] suffering from this illness before his/her death? Amount of time. 253 30 1 30 3.743 3.966 How long suffered from illness before death - Time unit How long suffered from illness before death - Time unit How long suffered from illness before death - Time unit How long suffered from illness before death - Time unit How long suffered from illness before death - Time unit For how long was [NAME] suffering from this illness before his/her death? Time unit. 253 30 1 Minutes 2 Hours 3 Days 4 Weeks 5 Months 6 Years Sysmiss Death occur in the past 12 months Death occur in the past 12 months Death occur in the past 12 months Death occur in the past 12 months Death occur in the past 12 months Interviewer: Did [NAME's] death occur in the past 12 months? See19. If answer is 2 > Go to 34 (mort34 - variable name in dataset). 253 30 1 Yes 2 No Sysmiss Amount HH spend on illness in 6 months prior to death Amount HH spend on illness in 6 months prior to death Amount HH spend on illness in 6 months prior to death Amount HH spend on illness in 6 months prior to death Amount HH spend on illness in 6 months prior to death How much money did your household spend on [NAME’s] illness in the six months prior to death (including the cost of treatment, medicines, transport and other expenses)? * Probe for payments in cash or kind. 67 216 150000 17184.134 30082.411 Sold any assets in order to pay for medical Sold any assets in order to pay for medical Sold any assets in order to pay for medical Sold any assets in order to pay for medical Sold any assets in order to pay for medical Did members of your household have to sell any assets (such as land, livestock, farm equipment, etc) in order to pay for the medical expenses associated with [NAME’s] illness? 253 30 1 Yes 2 No Sysmiss HH received contributions from friends HH received contributions from friends HH received contributions from friends HH received contributions from friends HH received contributions from friends Did anyone in the household receive contributions from friends or relatives to pay for [NAME’s] medical expenses? If answer is 2 > Go to 37 (mort37 - variable name in dataset). 255 28 1 Yes 2 No Sysmiss Total amount received Total amount received Total amount received Total amount received Total amount received What was the total amoung received from all friends and relatives? 90 193 200000 11254.8 24032.294 What happened to agricultural activities What happened to agricultural activities What happened to agricultural activities What happened to agricultural activities What happened to agricultural activities NOW I WOULD LIKE TO ASK YOU ABOUT EVENTS AFTER NAME’S DEATH. What happened to the agricultural activities of your household as a result of [NAME’s] death? 283 1 Lower 2 Higher 3 No change 4 N/A (never did farming) What happened to rest of income-earning activities What happened to rest of income-earning activities What happened to rest of income-earning activities What happened to rest of income-earning activities What happened to rest of income-earning activities What happened to the rest of the income-earning activities of your household as a result of [NAME’s] death? 283 1 Lower 2 Higher 3 No change Any relative work on a shamba to compensate Any relative work on a shamba to compensate Any relative work on a shamba to compensate Any relative work on a shamba to compensate Any relative work on a shamba to compensate Did any relatives or community members (who weren’t household members) work on your shamba to compensate for the loss of labor from [NAME’s] death? 283 1 Yes 2 No 3 N/A (household doesn’t do farming) After death, any children came to stay After death, any children came to stay After death, any children came to stay After death, any children came to stay After death, any children came to stay After [NAME’s] death, did any children or other relatives come to stay at your household for an extended period? 283 1 Yes 2 No How much was spent in total on funeral How much was spent in total on funeral How much was spent in total on funeral How much was spent in total on funeral How much was spent in total on funeral How much was spent in total on [NAME’s] funeral? * Include the cost of transportation of the body, food for visitors, coffin, burial, etc. * Include contributions from non-household members. 283 400000 18342.092 28700.609 How much was spent by members of HH members How much was spent by members of HH members How much was spent by members of HH members How much was spent by members of HH members How much was spent by members of HH members How much was spent by members of your household for [NAME’s] funeral? * Probe for out-of-pocket expenses of household members only. 283 100000 7483.664 11900.564 Membersof HH have to sell any assets Membersof HH have to sell any assets Membersof HH have to sell any assets Membersof HH have to sell any assets Membersof HH have to sell any assets Did members of your household have to sell any assets (such as land, livestock, farm equipment, etc) in order to pay for the funeral expenses associated with [NAME’s] illness? 283 1 Yes 2 No Receive contributions from friends Receive contributions from friends Receive contributions from friends Receive contributions from friends Receive contributions from friends Did anyone in the household receive contributions from friends or relatives to pay for [NAME’s] funeral expenses? 283 1 Yes 2 No 8 Total amount received from relatives Total amount received from relatives Total amount received from relatives Total amount received from relatives Total amount received from relatives What was the total amount received from all these friends and relatives? 282 1 300000 8331.216 22882.446 Total amount received from organizations Total amount received from organizations Total amount received from organizations Total amount received from organizations Total amount received from organizations What was the total amount received from organizations and community groups? 283 40000 2338.314 5693.646 Did lose assets or land due to inheritance Did lose assets or land due to inheritance Did lose assets or land due to inheritance Did lose assets or land due to inheritance Did lose assets or land due to inheritance After [NAME] died, did you or members of your household lose assets or land due to inheritance traditions? If answer is 2 > Go to next person. 283 1 Yes 2 No Value of the land and assets lost Value of the land and assets lost Value of the land and assets lost Value of the land and assets lost Value of the land and assets lost What was the value of the land and/or assets lost? Total value of these assets today, in KShs. 16 267 15000 1400000 294562.5 394528.574 Household ID Household ID Household ID Household ID Household ID 29 634 93579 38876.276 24138.255 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 29 1 2 3 Mortality Module Mortality Module Mortality Module Mortality Module Mortality Module 29 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 29 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 29 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 29 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 29 Any children died while living elsewhere Any children died while living elsewhere Any children died while living elsewhere Any children died while living elsewhere Any children died while living elsewhere Have any of your children (or children of other household members) died while living elsewhere in the past five years – that is since…(same month, 5 years ago)? Probe for adult children who died while living elsewhere, or foster children. If answer is 2 > End. 29 1 Yes 2 No Count Count Count Count Count 29 Name od deceased person Name od deceased person Name od deceased person Name od deceased person Name od deceased person NAME of deceased person. ID code of deceased person ID code of deceased person ID code of deceased person ID code of deceased person ID code of deceased person ID Code of deceased person (from round 1 household roster, if applicable). 14 15 Sex Sex Sex Sex Sex Sex of [NAME] 28 1 1 Male 2 Female Sysmiss Relationship Relationship Relationship Relationship Relationship What was the relation between [NAME] and the respondent? 29 Relationship - Other Relationship - Other Relationship - Other Relationship - Other Relationship - Other What was the relation between [NAME] and the respondent? Other (specify). Age at death Age at death Age at death Age at death Age at death How old was [NAME] when he/she passed away? 29 1 50 31.207 12.488 Parents - Father ID Parents - Father ID Parents - Father ID Parents - Father ID Parents - Father ID Who are the parents of [NAME]? Father ID. * Copy ID code of mother and father. 29 88 Not resident 98 Deceased Parents - Mother ID Parents - Mother ID Parents - Mother ID Parents - Mother ID Parents - Mother ID Who are the parents of [NAME]? Mother ID. * Copy ID code of mother and father. 29 88 Not resident 98 Deceased Where was residing at time of death Where was residing at time of death Where was residing at time of death Where was residing at time of death Where was residing at time of death Where was [NAME] residing at the time of his/her death? Make sure [NAME] wasn’t a hh member at time of death. 29 1 This village 2 This location 3 Kosirai Division 4 Nandi District (inc. Kapsabet) 5 Uasin-Gishu District (exc. Eldoret) 6 Eldoret 7 Kakamega 8 Kitale 9 Kisumu 10 Nakuru 11 Nairobi 12 Other urban area 13 Other rural area 14 Outside Kenya Was older than 12 years Was older than 12 years Was older than 12 years Was older than 12 years Was older than 12 years Interviewer: Was [NAME] older than 12 years at the time of death? See 6. If answer is 2 > Go to 15 (mortb15 - variable name in dataset). 29 1 Yes 2 No Was married at the time of death Was married at the time of death Was married at the time of death Was married at the time of death Was married at the time of death Was [NAME] married at the time of his/her death? If answer is 2 > Go to 13 (mortb13 - variable name in dataset). 26 3 1 Yes 2 No Sysmiss Spouse live in Household Spouse live in Household Spouse live in Household Spouse live in Household Spouse live in Household Does the husband/wife of this person live in this household? If answer is 2 > Go to 13 (mortb13 - variable name in dataset). 20 9 1 Yes 2 No Sysmiss ID code of spouse ID code of spouse ID code of spouse ID code of spouse ID code of spouse Record the ID code of the wife or husband from the household roster. 29 Had any children before died Had any children before died Had any children before died Had any children before died Had any children before died Did [NAME] have any children living in this household? If answer is 2 > Go to 15 (mortb15 - variable name in dataset). 26 3 1 Yes 2 No Sysmiss ID code of children - 1 ID code of children - 1 ID code of children - 1 ID code of children - 1 ID code of children - 1 Record the ID codes of all of the children (adults and youngsters) of [NAME] who are household members. 9 20 ID code of children - 2 ID code of children - 2 ID code of children - 2 ID code of children - 2 ID code of children - 2 Record the ID codes of all of the children (adults and youngsters) of [NAME] who are household members. 4 25 ID code of children - 3 ID code of children - 3 ID code of children - 3 ID code of children - 3 ID code of children - 3 Record the ID codes of all of the children (adults and youngsters) of [NAME] who are household members. 1 28 ID code of children - 4 ID code of children - 4 ID code of children - 4 ID code of children - 4 ID code of children - 4 Record the ID codes of all of the children (adults and youngsters) of [NAME] who are household members. 1 28 Ever attend school Ever attend school Ever attend school Ever attend school Ever attend school Did [NAME] ever attend school? If answer is 2 > Go to 17 (mortb17 - variable name in dataset). 29 1 Yes 2 No Highest grade - Level Highest grade - Level Highest grade - Level Highest grade - Level Highest grade - Level What was the highest grade that [NAME] completed? Level. 25 4 1 Nursery 2 Primary 3 Secondary 4 Post-sec. Sysmiss Highest grade - # of years Highest grade - # of years Highest grade - # of years Highest grade - # of years Highest grade - # of years What was the highest grade that [NAME] completed? Number of years. 25 4 2 3 4 5 6 7 8 Sysmiss When died - Month When died - Month When died - Month When died - Month When died - Month In what month and year did [NAME] die? Month. 29 When died - Year When died - Year When died - Year When died - Year When died - Year In what month and year did [NAME] die? Year. 29 Cause of death Cause of death Cause of death Cause of death Cause of death What was the cause of [NAME’s] death? If answer is 1 > Go to 19 (mortb19 - variable name in dataset). If answer is 2, 3, 4, 5, 6, or 7 > Go to 21 (mortb21 - variable name in dataset). 29 1 Illness 2 Traffic accident 3 Childbirth or complications 4 Homicide 5 Suicide 6 Other accident or injury 7 Other (specify) Cause of death - Other Cause of death - Other Cause of death - Other Cause of death - Other Cause of death - Other What was the cause of [NAME’s] death? Other (specify). Illness respondent think Illness respondent think Illness respondent think Illness respondent think Illness respondent think What illness do you think [NAME] was suffering from? 29 1 HIV/AIDS 2 Asthma 3 Bilharzia/ Shistosomiasis 4 Cancer 5 Diarrhea 6 Dysentry 7 Fracture/break 8 Gnorrhea 9 Intestinal Parisites 10 Malaria 11 Malnutrition (Kwashiorkor/Marasmus) 12 Measles 13 Meningitis 14 Poisoning 15 Polio 16 Syphilis 17 Tetanus 18 Tuberculosis 19 Typhoid 20 Urinary Infection 21 Witchcraft 22 Other STD (specify) 23 Other illness (specify) 24 Other injury (specify) 99 Don’t know Sysmiss Illness respondent - Other Illness respondent - Other Illness respondent - Other Illness respondent - Other Illness respondent - Other What illness do you think [NAME] was suffering from? Other (specify). Symptoms had - 1 Symptoms had - 1 Symptoms had - 1 Symptoms had - 1 Symptoms had - 1 Please describe the symptoms [NAME] had during his/her illness? * List up to five symptoms. 25 4 1 Diarrhea (acute) 2 Diarrhea (chronic, 1 month or more) 3 Weight loss (major) 4 Fever (acute) 5 Fever (recurring) 6 Skin rash 7 Weakness 8 Severe headache 9 Fainting 10 Chills (feeling hot and cold) 11 Vomiting 12 Cough 13 Productive cough 14 Coughing blood 15 Pain on passing urine 16 Genital sores 17 Mental disorder 18 Abdominal pain 19 Sore throat 20 Difficulty breathing 21 Burn 22 Fracture 23 Wound 24 Child birth 25 Ameobeosis 26 Other (specify) 32 98 99 Sysmiss Symptoms had - 2 Symptoms had - 2 Symptoms had - 2 Symptoms had - 2 Symptoms had - 2 Please describe the symptoms [NAME] had during his/her illness? * List up to five symptoms. 16 13 1 Diarrhea (acute) 2 Diarrhea (chronic, 1 month or more) 3 Weight loss (major) 4 Fever (acute) 5 Fever (recurring) 6 Skin rash 7 Weakness 8 Severe headache 9 Fainting 10 Chills (feeling hot and cold) 11 Vomiting 12 Cough 13 Productive cough 14 Coughing blood 15 Pain on passing urine 16 Genital sores 17 Mental disorder 18 Abdominal pain 19 Sore throat 20 Difficulty breathing 21 Burn 22 Fracture 23 Wound 24 Child birth 25 Ameobeosis 26 Other (specify) Sysmiss Symptoms had - 3 Symptoms had - 3 Symptoms had - 3 Symptoms had - 3 Symptoms had - 3 Please describe the symptoms [NAME] had during his/her illness? * List up to five symptoms. 9 20 1 Diarrhea (acute) 2 Diarrhea (chronic, 1 month or more) 3 Weight loss (major) 4 Fever (acute) 5 Fever (recurring) 6 Skin rash 7 Weakness 8 Severe headache 9 Fainting 10 Chills (feeling hot and cold) 11 Vomiting 12 Cough 13 Productive cough 14 Coughing blood 15 Pain on passing urine 16 Genital sores 17 Mental disorder 18 Abdominal pain 19 Sore throat 20 Difficulty breathing 21 Burn 22 Fracture 23 Wound 24 Child birth 25 Ameobeosis 26 Other (specify) Sysmiss Symptoms had - 4 Symptoms had - 4 Symptoms had - 4 Symptoms had - 4 Symptoms had - 4 Please describe the symptoms [NAME] had during his/her illness? * List up to five symptoms. 4 25 1 Diarrhea (acute) 2 Diarrhea (chronic, 1 month or more) 3 Weight loss (major) 4 Fever (acute) 5 Fever (recurring) 6 Skin rash 7 Weakness 8 Severe headache 9 Fainting 10 Chills (feeling hot and cold) 11 Vomiting 12 Cough 13 Productive cough 14 Coughing blood 15 Pain on passing urine 16 Genital sores 17 Mental disorder 18 Abdominal pain 19 Sore throat 20 Difficulty breathing 21 Burn 22 Fracture 23 Wound 24 Child birth 25 Ameobeosis 26 Other (specify) 32 Sysmiss Symptoms had - 5 Symptoms had - 5 Symptoms had - 5 Symptoms had - 5 Symptoms had - 5 Please describe the symptoms [NAME] had during his/her illness? * List up to five symptoms. 2 27 1 Diarrhea (acute) 2 Diarrhea (chronic, 1 month or more) 3 Weight loss (major) 4 Fever (acute) 5 Fever (recurring) 6 Skin rash 7 Weakness 8 Severe headache 9 Fainting 10 Chills (feeling hot and cold) 11 Vomiting 12 Cough 13 Productive cough 14 Coughing blood 15 Pain on passing urine 16 Genital sores 17 Mental disorder 18 Abdominal pain 19 Sore throat 20 Difficulty breathing 21 Burn 22 Fracture 23 Wound 24 Child birth 25 Ameobeosis 26 Other (specify) Sysmiss Symptoms had - (Other) Symptoms had - (Other) Symptoms had - (Other) Symptoms had - (Other) Symptoms had - (Other) Please describe the symptoms [NAME] had during his/her illness? Other (specify). * List up to five symptoms. 3 Death occur in the past 12 months Death occur in the past 12 months Death occur in the past 12 months Death occur in the past 12 months Death occur in the past 12 months Interviewer: Did [NAME's] death occur in the past 12 months? See 17. If answer is 2 > Go to 24 (mortb24 - variable name in dataset). 29 1 Yes 2 No How much spend on illness How much spend on illness How much spend on illness How much spend on illness How much spend on illness How much money did your household spend on [NAME’s] illness in the six months prior to death (including the cost of treatment, medicines, transport and other expenses connected with the illness/accident)? * Probe for payments in cash or kind 7 22 20000 7285.714 7889.112 How much was spend by HH members for funeral How much was spend by HH members for funeral How much was spend by HH members for funeral How much was spend by HH members for funeral How much was spend by HH members for funeral How much was spent by members of your household for [NAME’s] funeral? * Include the cost of transportation of the body, food for visitors, coffin, burial, etc. * Record total expenditures, including the value of expenditure in kind. 7 22 500 20000 7214.286 6505.492 Members sold any asset to fo funeral expenses Members sold any asset to fo funeral expenses Members sold any asset to fo funeral expenses Members sold any asset to fo funeral expenses Members sold any asset to fo funeral expenses Did members of your household have to sell any assets (such as land, livestock, farm equipment, etc) in order to pay for the funeral expenses associated with [NAME’s] illness? 29 1 Yes 2 No 9 Household ID Household ID Household ID Household ID Household ID 1561 103 99999 49904.127 29067.527 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 1561 1 2 3 4 5 6 7 8 9 10 Network module Network module Network module Network module Network module 1561 1 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 1561 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 1561 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 1561 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 1561 Count of section A: Count of section A: Count of section A: Count of section A: Count of section A: 1561 3 1.624 1.251 People talked to about health issues People talked to about health issues People talked to about health issues People talked to about health issues People talked to about health issues How many people (in total) have you talked (informally) with about health issues in the past 12 months? * Do not include spouse. * Probe for health issues such as family planning, sanitation, backaches, tuberculosis, etc. 1561 98 Missing 99 dk Count of Section B: Count of Section B: Count of Section B: Count of Section B: Count of Section B: 1561 3 1.549 1.221 People talked to about malaria People talked to about malaria People talked to about malaria People talked to about malaria People talked to about malaria How many people (in total) have you talked (informally) with about malaria in the past 12 months? * Do not include spouse. 1561 98 Missing 99 dk Count of section C: Count of section C: Count of section C: Count of section C: Count of section C: 1561 8 2.523 0.915 Know anyone who has gone for an HIV test at a VCT Know anyone who has gone for an HIV test at a VCT Know anyone who has gone for an HIV test at a VCT Know anyone who has gone for an HIV test at a VCT Know anyone who has gone for an HIV test at a VCT Do you personally know anyone (other than your spouse or main partner) who has gone for an HIV test at a VCT clinic? * Verify that if any answer to Question 8 is Yes, then answer here is Yes. * Include persons that have died. 1561 1 Yes 2 No 8 People know have gone for HIV test at VCT People know have gone for HIV test at VCT People know have gone for HIV test at VCT People know have gone for HIV test at VCT People know have gone for HIV test at VCT How many people known to you personally have gone for an HIV test at a VCT clinic in the past year? 833 728 None People known have gone for HIV test at VCT before the past y People known have gone for HIV test at VCT before the past y People known have gone for HIV test at VCT before the past y People known have gone for HIV test at VCT before the past y People known have gone for HIV test at VCT before the past y How many people known to you personally have gone for an HIV test at a VCT clinic before the past year? 833 728 98 1.616 4.118 None Count of section D: Count of section D: Count of section D: Count of section D: Count of section D: 1561 20 7.076 2.713 Count of section E: Count of section E: Count of section E: Count of section E: Count of section E: 1561 19 7.069 2.716 Household ID Household ID Household ID Household ID Household ID 2535 103 99975 49252.621 29290.076 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 2535 1 2 3 5 7 8 9 Network module Network module Network module Network module Network module 2535 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 2535 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 2535 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 2535 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 2535 Column number Column number Column number Column number Column number Now I would like to ask you about your conversations with three of these people. Can you tell me the first names of these people, and what issues you discussed with them? Record IRID codes of each person. Add to the Individual Roster if person is not already listed. If three are not named, probe: can you think of anyone else? How about sitting in on conversations, even if you yourself did not say anything? 13 2522 IRID code IRID code IRID code IRID code IRID code IRID Code of person 2535 Last conversation with IRID Last conversation with IRID Last conversation with IRID Last conversation with IRID Last conversation with IRID When was your last conversation with [IRID] about health matters? 2535 1 in the past week 2 in the past month 3 less than six months ago 4 more than six months ago 8 88 don’t recall Health topic Health topic Health topic Health topic Health topic What health topic / illness was this discussion mostly about? If answer is 81 > Go to 6 (net6 - variable name in dataset). 2535 1 HIV/AIDS 2 Asthma 3 Bilharzia/ Shistosomiasis 4 Cancer 5 Diarrhea 6 Dysentry 7 Fracture/break 8 Gnorrhea 9 Intestinal Parisites 10 Malaria 11 Malnutrition (Kwashiorkor/Marasmus) 12 Measles 13 Meningitis 14 Poisoning 15 Polio 16 Syphilis 17 Tetanus 18 Tuberculosis 19 Typhoid 20 Urinary Infection 21 Witchcraft 22 Other STD (specify) 23 Other illness (specify) 24 Other injury (specify) 26 30 31 32 80 Family Planning 81 Sanitation 98 99 Don’t know Health topic - Other Health topic - Other Health topic - Other Health topic - Other Health topic - Other What health topic / illness was this discussion mostly about? Other (specify). 841 Discussed ways of getting treatment Discussed ways of getting treatment Discussed ways of getting treatment Discussed ways of getting treatment Discussed ways of getting treatment Did you discuss ways to get treatment or any solutions for this health issue? If answer is 2 > Go to 6 (net6 - variable name in dataset). 2303 232 1 Yes 2 No 8 Sysmiss Health facility/practioner mentioned-1 Health facility/practioner mentioned-1 Health facility/practioner mentioned-1 Health facility/practioner mentioned-1 Health facility/practioner mentioned-1 Which health facilities/practitioners were mentioned? List up to 4 codes. 1922 613 1 National Referral Hosp. (Kenyatta, Moi) 2 Government District/Provincial Hosp. 3 Mosoriot Rural Health Center 4 Government Health Center (exc. Mosoriot) 5 Government dispensary 6 Mission hospital/clinic 7 Other private hospital/clinic 8 Chemist/pharmacy 9 Private doctor (like priv. clinic) 10 Mobile clinic 11 Community health worker 12 Retail shop 13 Herbalist/traditional healer 14 Relative/friend 15 Other (specify) 30 98 Sysmiss Health facility/practioner mentioned-2 Health facility/practioner mentioned-2 Health facility/practioner mentioned-2 Health facility/practioner mentioned-2 Health facility/practioner mentioned-2 Which health facilities/practitioners were mentioned? List up to 4 codes. 571 1964 1 National Referral Hosp. (Kenyatta, Moi) 2 Government District/Provincial Hosp. 3 Mosoriot Rural Health Center 4 Government Health Center (exc. Mosoriot) 5 Government dispensary 6 Mission hospital/clinic 7 Other private hospital/clinic 8 Chemist/pharmacy 9 Private doctor (like priv. clinic) 10 Mobile clinic 11 Community health worker 12 Retail shop 13 Herbalist/traditional healer 14 Relative/friend 15 Other (specify) Sysmiss Health facility/practioner mentioned-3 Health facility/practioner mentioned-3 Health facility/practioner mentioned-3 Health facility/practioner mentioned-3 Health facility/practioner mentioned-3 Which health facilities/practitioners were mentioned? List up to 4 codes. 101 2434 1 National Referral Hosp. (Kenyatta, Moi) 2 Government District/Provincial Hosp. 3 Mosoriot Rural Health Center 4 Government Health Center (exc. Mosoriot) 5 Government dispensary 6 Mission hospital/clinic 7 Other private hospital/clinic 8 Chemist/pharmacy 9 Private doctor (like priv. clinic) 10 Mobile clinic 11 Community health worker 12 Retail shop 13 Herbalist/traditional healer 14 Relative/friend 15 Other (specify) Sysmiss Health facility/practioner mentioned-4 Health facility/practioner mentioned-4 Health facility/practioner mentioned-4 Health facility/practioner mentioned-4 Health facility/practioner mentioned-4 Which health facilities/practitioners were mentioned? List up to 4 codes. 9 2526 1 National Referral Hosp. (Kenyatta, Moi) 2 Government District/Provincial Hosp. 3 Mosoriot Rural Health Center 4 Government Health Center (exc. Mosoriot) 5 Government dispensary 6 Mission hospital/clinic 7 Other private hospital/clinic 8 Chemist/pharmacy 9 Private doctor (like priv. clinic) 10 Mobile clinic 11 Community health worker 12 Retail shop 13 Herbalist/traditional healer 14 Relative/friend 15 Other (specify) Sysmiss Health facility/practioner (Other) Health facility/practioner (Other) Health facility/practioner (Other) Health facility/practioner (Other) Health facility/practioner (Other) Which health facilities/practitioners were mentioned? Other (specify). List up to 4 codes. 7 Medicines or solutions mentioned Medicines or solutions mentioned Medicines or solutions mentioned Medicines or solutions mentioned Medicines or solutions mentioned Were any medicines or solutions mentioned for this health issue? If answer is 2 > Go to 8 (net8 - variable name in dataset). 2535 1 Yes 2 No 8 Which medicines mentioned Which medicines mentioned Which medicines mentioned Which medicines mentioned Which medicines mentioned Which medicines or solutions were mentioned for this health issue? * Free response. 839 Was sick at the time Was sick at the time Was sick at the time Was sick at the time Was sick at the time Was [IRID] sick at the time? If answer is 2 > Go to 10 (net10 - variable name in dataset). 2534 1 1 Yes 2 No 8 Sysmiss Illness person had Illness person had Illness person had Illness person had Illness person had What illness did this person have? 2535 1 HIV/AIDS 2 Asthma 3 Bilharzia/ Shistosomiasis 4 Cancer 5 Diarrhea 6 Dysentry 7 Fracture/break 8 Gnorrhea 9 Intestinal Parisites 10 Malaria 11 Malnutrition (Kwashiorkor/Marasmus) 12 Measles 13 Meningitis 14 Poisoning 15 Polio 16 Syphilis 17 Tetanus 18 Tuberculosis 19 Typhoid 20 Urinary Infection 21 Witchcraft 22 Other STD (specify) 23 Other illness (specify) 24 Other injury (specify) 30 Common cold 31 Pneumonia 32 Diabetes 99 Don’t know Sysmiss Illness (other) Illness (other) Illness (other) Illness (other) Illness (other) What illness did this person have? Other (specify). 377 Household ID Household ID Household ID Household ID Household ID 2418 103 99975 49467.331 29257.362 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 2418 1 2 3 5 7 8 9 Network module Network module Network module Network module Network module 2418 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 2418 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 2418 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 2418 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 2418 Column number Column number Column number Column number Column number Now I would like to ask you about your conversations with three of these people. Can you tell me the first names of these people, and what issues you discussed with them? Record IRID codes of each person. Add to the Individual Roster if person is not already listed. If three are not named, probe: can you think of anyone else? How about sitting in on conversations, even if you yourself did not say anything? Questions 3-8 refer to the time of the conversation, 9-11 are general questions. Complete 1 column at a time. 11 2407 IRID code of person IRID code of person IRID code of person IRID code of person IRID code of person IRID Code of person 2418 Last conversation about malaria Last conversation about malaria Last conversation about malaria Last conversation about malaria Last conversation about malaria When was your last conversation with this person about malaria? 2418 1 in the past week 2 in the past month 3 less than six months ago 4 more than six months ago 8 88 don’t recall Person suffering from malaria Person suffering from malaria Person suffering from malaria Person suffering from malaria Person suffering from malaria Was this person suffering from malaria at the time, or did his/her children have malaria at the time? 2418 1 Yes 2 No 9 Any member had malaria at the time Any member had malaria at the time Any member had malaria at the time Any member had malaria at the time Any member had malaria at the time Did you or any of your household members have malaria at the time? 2418 1 Yes 2 No Discussed where to get treatment Discussed where to get treatment Discussed where to get treatment Discussed where to get treatment Discussed where to get treatment Did you discuss where to get treatment for this malaria? If answer is 2 > Go to 7 (netb7 - variable name in dataset). 2418 1 Yes 2 No 8 Which facility/practitioner - 1 Which facility/practitioner - 1 Which facility/practitioner - 1 Which facility/practitioner - 1 Which facility/practitioner - 1 Which health facilities/practitioners were mentioned? * List up to 5 codes. 2093 325 1 National Referral Hosp. (Kenyatta, Moi) 2 Government District/Provincial Hosp. 3 Mosoriot Rural Health Center 4 Government Health Center (exc. Mosoriot) 5 Government dispensary 6 Mission hospital/clinic 7 Other private hospital/clinic 8 Chemist/pharmacy 9 Private doctor (like priv. clinic) 10 Mobile clinic 11 Community health worker 12 Retail shop 13 Herbalist/traditional healer 14 Relative/friend 15 Other (specify) Sysmiss Which facility/practitioner - 2 Which facility/practitioner - 2 Which facility/practitioner - 2 Which facility/practitioner - 2 Which facility/practitioner - 2 Which health facilities/practitioners were mentioned? * List up to 5 codes. 540 1878 1 National Referral Hosp. (Kenyatta, Moi) 2 Government District/Provincial Hosp. 3 Mosoriot Rural Health Center 4 Government Health Center (exc. Mosoriot) 5 Government dispensary 6 Mission hospital/clinic 7 Other private hospital/clinic 8 Chemist/pharmacy 9 Private doctor (like priv. clinic) 10 Mobile clinic 11 Community health worker 12 Retail shop 13 Herbalist/traditional healer 14 Relative/friend 15 Other (specify) Sysmiss Which facility/practitioner - 3 Which facility/practitioner - 3 Which facility/practitioner - 3 Which facility/practitioner - 3 Which facility/practitioner - 3 Which health facilities/practitioners were mentioned? * List up to 5 codes. 83 2335 1 National Referral Hosp. (Kenyatta, Moi) 2 Government District/Provincial Hosp. 3 Mosoriot Rural Health Center 4 Government Health Center (exc. Mosoriot) 5 Government dispensary 6 Mission hospital/clinic 7 Other private hospital/clinic 8 Chemist/pharmacy 9 Private doctor (like priv. clinic) 10 Mobile clinic 11 Community health worker 12 Retail shop 13 Herbalist/traditional healer 14 Relative/friend 15 Other (specify) Sysmiss Which facility/practitioner - 4 Which facility/practitioner - 4 Which facility/practitioner - 4 Which facility/practitioner - 4 Which facility/practitioner - 4 Which health facilities/practitioners were mentioned? * List up to 5 codes. 5 2413 1 National Referral Hosp. (Kenyatta, Moi) 2 Government District/Provincial Hosp. 3 Mosoriot Rural Health Center 4 Government Health Center (exc. Mosoriot) 5 Government dispensary 6 Mission hospital/clinic 7 Other private hospital/clinic 8 Chemist/pharmacy 9 Private doctor (like priv. clinic) 10 Mobile clinic 11 Community health worker 12 Retail shop 13 Herbalist/traditional healer 14 Relative/friend 15 Other (specify) Sysmiss Which facility/practitioner - 5 Which facility/practitioner - 5 Which facility/practitioner - 5 Which facility/practitioner - 5 Which facility/practitioner - 5 Which health facilities/practitioners were mentioned? * List up to 5 codes. 2418 1 National Referral Hosp. (Kenyatta, Moi) 2 Government District/Provincial Hosp. 3 Mosoriot Rural Health Center 4 Government Health Center (exc. Mosoriot) 5 Government dispensary 6 Mission hospital/clinic 7 Other private hospital/clinic 8 Chemist/pharmacy 9 Private doctor (like priv. clinic) 10 Mobile clinic 11 Community health worker 12 Retail shop 13 Herbalist/traditional healer 14 Relative/friend 15 Other (specify) Sysmiss Which facility/practitioner - Other Which facility/practitioner - Other Which facility/practitioner - Other Which facility/practitioner - Other Which facility/practitioner - Other Which health facilities/practitioners were mentioned? Other (specify). * List up to 5 codes. 2 Malaria medicines mentioned Malaria medicines mentioned Malaria medicines mentioned Malaria medicines mentioned Malaria medicines mentioned Were any medicines for malaria mentioned in your conversation? If answer is 2 > Go to 9 (netb9 - variable name in dataset). 2418 1 Yes 2 No 8 9 Mentioned medicines - 1 Mentioned medicines - 1 Mentioned medicines - 1 Mentioned medicines - 1 Mentioned medicines - 1 Which medicines for malaria were mentioned in your conversation? * List up to 3 codes. 1345 1073 1 99 4.943 8.263 1 Antipyretics (aspro, calpol, brufen, etc) 2 Chloroquine (malaroquine, etc) 3 Sulfa combinations (fansidar,metakelfin) 4 Halofantrine (hanfan) 5 Amodiaquine (camoquine) 6 Cotrimoxazole (bactrim, septrin) 7 Artimisinin (artenam, artomothor) 8 Herbal/traditional remedies 9 Other, specify 10 Quinine 13 99 Sysmiss Mentioned medicines - 2 Mentioned medicines - 2 Mentioned medicines - 2 Mentioned medicines - 2 Mentioned medicines - 2 Which medicines for malaria were mentioned in your conversation? * List up to 3 codes. 802 1616 1 99 4.153 4.588 1 Antipyretics (aspro, calpol, brufen, etc) 2 Chloroquine (malaroquine, etc) 3 Sulfa combinations (fansidar,metakelfin) 4 Halofantrine (hanfan) 5 Amodiaquine (camoquine) 6 Cotrimoxazole (bactrim, septrin) 7 Artimisinin (artenam, artomothor) 8 Herbal/traditional remedies 9 Other, specify 10 Quinine 99 Sysmiss Mentioned medicines - 3 Mentioned medicines - 3 Mentioned medicines - 3 Mentioned medicines - 3 Mentioned medicines - 3 Which medicines for malaria were mentioned in your conversation? * List up to 3 codes. 206 2212 1 Antipyretics (aspro, calpol, brufen, etc) 2 Chloroquine (malaroquine, etc) 3 Sulfa combinations (fansidar,metakelfin) 4 Halofantrine (hanfan) 5 Amodiaquine (camoquine) 6 Cotrimoxazole (bactrim, septrin) 7 Artimisinin (artenam, artomothor) 8 Herbal/traditional remedies 9 Other, specify 10 Quinine Sysmiss Mentioned medicines - Other Mentioned medicines - Other Mentioned medicines - Other Mentioned medicines - Other Mentioned medicines - Other Which medicines for malaria were mentioned in your conversation? Other (specify). * List up to 3 codes. 7 Discussed how to prevent malaria Discussed how to prevent malaria Discussed how to prevent malaria Discussed how to prevent malaria Discussed how to prevent malaria Have you discussed how to prevent malaria with this person? If answer is 2 > Go to next IRID. 2418 1 Yes 2 No 8 9 Ways to prevent malaria discussed - 1 Ways to prevent malaria discussed - 1 Ways to prevent malaria discussed - 1 Ways to prevent malaria discussed - 1 Ways to prevent malaria discussed - 1 What ways of prevention did you discuss with this person? * List up to 3 ways. 1485 933 1 Use mosquito nets 2 Avoid having stagnant water near the household 3 Clear bushes near household 4 Use insecticides, coils, or repellants 5 Take prophylaxis or medicines 6 Other (specify) 8 Sysmiss Ways to prevent malaria discussed - 2 Ways to prevent malaria discussed - 2 Ways to prevent malaria discussed - 2 Ways to prevent malaria discussed - 2 Ways to prevent malaria discussed - 2 What ways of prevention did you discuss with this person? * List up to 3 ways. 881 1537 1 Use mosquito nets 2 Avoid having stagnant water near the household 3 Clear bushes near household 4 Use insecticides, coils, or repellants 5 Take prophylaxis or medicines 6 Other (specify) Sysmiss Ways to prevent malaria discussed - 3 Ways to prevent malaria discussed - 3 Ways to prevent malaria discussed - 3 Ways to prevent malaria discussed - 3 Ways to prevent malaria discussed - 3 What ways of prevention did you discuss with this person? * List up to 3 ways. 418 2000 1 Use mosquito nets 2 Avoid having stagnant water near the household 3 Clear bushes near household 4 Use insecticides, coils, or repellants 5 Take prophylaxis or medicines 6 Other (specify) Sysmiss Ways to prevent malaria discussed - Other Ways to prevent malaria discussed - Other Ways to prevent malaria discussed - Other Ways to prevent malaria discussed - Other Ways to prevent malaria discussed - Other What ways of prevention did you discuss with this person? Other (specify). * List up to 3 ways. 14 Household ID Household ID Household ID Household ID Household ID 3927 103 99999 49909.567 29047.394 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 3927 1 2 3 4 5 6 7 8 9 10 Network module Network module Network module Network module Network module 3927 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 3927 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 3927 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 3927 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 3927 Column number Column number Column number Column number Column number I am now going to ask you some questions about people (other than your spouse, but including relatives, friends, and even other household members) with whom you have discussed HIV/AIDS in the past 12 months. Please keep in mind that while I may ask you for their names, I will not discuss anything you tell me with them. 14 3913 Names of people discussed HIV/AIDS Names of people discussed HIV/AIDS Names of people discussed HIV/AIDS Names of people discussed HIV/AIDS Names of people discussed HIV/AIDS Could you please give me the first names of three people with whom you have discussed HIV/AIDS? * Reiterate confidentiality of interview * Write first name on the right. * Add to the IRoster if they are not already there * If three are not named, probe: can you think of anyone else? IRID code IRID code IRID code IRID code IRID code Read to respondent: Now I would like to ask you about your conversations with each of these three people. IRID Code of person 3927 Last conversation about HIV/AIDS Last conversation about HIV/AIDS Last conversation about HIV/AIDS Last conversation about HIV/AIDS Last conversation about HIV/AIDS When was your last conversation with [IRID] about HIV/AIDS? 3927 1 in the past week 2 in the past month 3 less than six months ago 4 more than six months ago 6 8 9 88 don’t recall Chances of having HIV/AIDS Chances of having HIV/AIDS Chances of having HIV/AIDS Chances of having HIV/AIDS Chances of having HIV/AIDS Does [IRID] think his/her chance of having HIV/AIDS is great, moderate, small, or does he/she think he/she is at no risk at all? If answer is 1 or 2 > Go to 6 (netc6 - variable name in dataset). If answer is 99 > Go to 7 (netc7 - variable name in dataset). 3927 1 High 2 Moderate 3 Low 4 No risk at all 9 99 Don’t Know Why has no risk/small chance of having HIV/AIDS Why has no risk/small chance of having HIV/AIDS Why has no risk/small chance of having HIV/AIDS Why has no risk/small chance of having HIV/AIDS Why has no risk/small chance of having HIV/AIDS Why does [IRID] think he/she has no risk/small chance of having HIV/AIDS? Go to 7 (netc7 - variable name in dataset). 1690 2237 1 abstains 2 uses condoms 3 has sex only with spouse/one partner 4 limited number of partners 5 spouse(s) has/have no other partner 6 no blood transfusions, no injections 7 other (specify) 8 9 Sysmiss Why has no risk/small chance of having HIV/AIDS - Other Why has no risk/small chance of having HIV/AIDS - Other Why has no risk/small chance of having HIV/AIDS - Other Why has no risk/small chance of having HIV/AIDS - Other Why has no risk/small chance of having HIV/AIDS - Other Why does [IRID] think he/she has no risk/small chance of having HIV/AIDS? Other (specify). Go to 7 (netc7 - variable name in dataset). 44 Why think has moderate chance Why think has moderate chance Why think has moderate chance Why think has moderate chance Why think has moderate chance Why does [IRID] think he/she has moderate/high chance of having HIV/AIDS? 789 3138 1 Does not use condoms 2 more than one sex partner 3 many sex partners 4 spouse has other partners 5 blood transfusion 6 had injections 7 spouse died 8 other (specify) 9 Sysmiss Why think has moderate chance Why think has moderate chance Why think has moderate chance Why think has moderate chance Why think has moderate chance Why does [IRID] think he/she has moderate/high chance of having HIV/AIDS? Other (specify). 204 What think is the best way to prevent HIV/AIDS What think is the best way to prevent HIV/AIDS What think is the best way to prevent HIV/AIDS What think is the best way to prevent HIV/AIDS What think is the best way to prevent HIV/AIDS What does [IRID] think is the best way to prevent HIV/AIDS? 3927 1 Abstinence 2 sex only with husband/wife 3 condom with spouse 4 condom with extramarital partner(s) 5 medication (specify) 6 other (specify) 8 9 99 Don’t Know What think is the best way to prevent HIV/AIDS - Other What think is the best way to prevent HIV/AIDS - Other What think is the best way to prevent HIV/AIDS - Other What think is the best way to prevent HIV/AIDS - Other What think is the best way to prevent HIV/AIDS - Other What does [IRID] think is the best way to prevent HIV/AIDS? Medication (specify)/Other (specify). 21 Ever gone for HIV test Ever gone for HIV test Ever gone for HIV test Ever gone for HIV test Ever gone for HIV test Has [IRID] ever gone for an HIV test? If answer is 3 or 99 > Go to 9 (netc9 - variable name in dataset). 3927 1 Yes – VCT 2 Yes – ANC or some other clinic 3 No 8 9 99 Don’t Know Result of HIV/AIDS test Result of HIV/AIDS test Result of HIV/AIDS test Result of HIV/AIDS test Result of HIV/AIDS test What was the result of [IRID’s] HIV test? * emphasize confidentiality when asking this question. 3927 1 HIV-Positive 2 HIV-Negative 3 Won’t say Sysmiss Household ID Household ID Household ID Household ID Household ID 10927 103 99999 49904.127 29059.544 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 10927 1 2 3 4 5 6 7 8 9 10 Network module Network module Network module Network module Network module 10927 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 10927 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 10927 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 10927 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 10927 Relation Relation Relation Relation Relation Relation 10927 1 Father 2 Mother 3 Brother 4 Sister 5 Other male relative (brother in-laws, father in-law, sons, etc) 6 Other female relative (sister in-laws, mother in-law, daughters, etc.) 7 Friends Talked to about HIV/AIDS Talked to about HIV/AIDS Talked to about HIV/AIDS Talked to about HIV/AIDS Talked to about HIV/AIDS I’d just like to check one more time. I’m going to read a list of people related to you and ask if you’ve talked with any of them about HIV/AIDS in the past 12 months and how many of them you have talked with. Have talked to [relation] about HIV/AIDS in the past year? Probe and complete questions 2-10 if many people are mentioned here. 10927 1 Yes 2 No 3 N/A 8 People talked to People talked to People talked to People talked to People talked to Number of people you’ve talked to in [Relation] category in the past year 4199 6728 1 99 4.037 11.891 Household ID Household ID Household ID Household ID Household ID 7805 103 99999 49904.127 29060.076 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 7805 1 2 3 4 5 6 7 8 9 10 Network module Network module Network module Network module Network module 7805 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 7805 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 7805 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 7805 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 7805 Position Position Position Position Position Position 7805 1 Traditional birth attendants (TBAs) 2 Nurses/doctors/counsellors 3 Teachers 4 Chiefs 5 Pastors Talked to about HIV/AIDS Talked to about HIV/AIDS Talked to about HIV/AIDS Talked to about HIV/AIDS Talked to about HIV/AIDS Now I’d like to ask you whether you’ve talked to people in certain positions about HIV/AIDS in the past 12 months. Have talked to [position] about HIV/AIDS in the past year? Probe and complete questions 2-10 if many people are mentioned here. 7805 1 Yes 2 No 8 People talked to People talked to People talked to People talked to People talked to Number of people you’ve talked to in [position] category in the past year 1372 6433 1 99 2.518 7.606 Household ID Household ID Household ID Household ID Household ID 11046 103 99999 50235.237 29065.49 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 11046 1 2 3 4 5 6 7 8 9 10 Network module Network module Network module Network module Network module 11046 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 11046 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 11046 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 11046 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 11046 Line number Line number Line number Line number Line number All the people listed on the individual roster, from round 1 and round 2. 47 10999 IRID code IRID code IRID code IRID code IRID code IRID Code All the people listed on the individual roster, from round 1 and round 2. 11046 If need 2000 ksh, would ask If need 2000 ksh, would ask If need 2000 ksh, would ask If need 2000 ksh, would ask If need 2000 ksh, would ask If you were to need 2,000 KShs today, would you ask [IRID]? All the people listed on the individual roster, from round 1 and round 2. 11046 1 Yes 2 No 7 8 Dead 9 If asked for 2000 ksh, would give If asked for 2000 ksh, would give If asked for 2000 ksh, would give If asked for 2000 ksh, would give If asked for 2000 ksh, would give If [IRID] asked for a gift or loan of 2,000 KShs today would you give it to him/her? All the people listed on the individual roster, from round 1 and round 2. 11046 1 Yes 2 No 7 8 Dead 9 Living standard higher Living standard higher Living standard higher Living standard higher Living standard higher Is this person’s living standard higher than yours, the same, or lower than yours? All the people listed on the individual roster, from round 1 and round 2. 11046 1 Higher 2 The same 3 Lower 7 8 9 99 Don't Know Type of roof does house have Type of roof does house have Type of roof does house have Type of roof does house have Type of roof does house have What type of roof does this person’s house have? All the people listed on the individual roster, from round 1 and round 2. 11046 1 Thatch 2 Metal 3 Tile 7 8 9 99 Don't Know Education level Education level Education level Education level Education level How much education has this person had? All the people listed on the individual roster, from round 1 and round 2. 11046 1 None 2 Primary 3 Secondary 4 Post-sec 7 8 9 Household ID Household ID Household ID Household ID Household ID 31220 103 99999 49904.127 29058.68 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 31220 1 2 3 4 5 6 7 8 9 10 Network module Network module Network module Network module Network module 31220 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 31220 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 31220 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 31220 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 31220 Line number Line number Line number Line number Line number Now I would like to ask you about the people you have mentioned so far in our conversations with you. I would like to know about how these people are related to each other. The reason is that by acquiring a better picture of these relations, we hope to better understand the degree of cooperation between these person. Ask for each pair: Are NAME ON ROW and NAME ON COLUMN family members (with each other NOT with the respondent), friends, acquaintances, or do they not know each other? All of the people listed on the individual roster, from round 1 and round 2. 47 31173 R01 relationship R01 relationship R01 relationship R01 relationship R01 relationship R01 All of the people listed on the individual roster, from round 1 and round 2. 9469 21751 1 Family members 2 Friends 3 Acquaintances 4 Workmate 5 Don’t know each other 6 Respondent does not know 7 One of the persons is dead 8 9 Sysmiss R02 relationship R02 relationship R02 relationship R02 relationship R02 relationship R02 All of the people listed on the individual roster, from round 1 and round 2. 7938 23282 1 Family members 2 Friends 3 Acquaintances 4 Workmate 5 Don’t know each other 6 Respondent does not know 7 One of the persons is dead 8 9 Sysmiss R03 relationship R03 relationship R03 relationship R03 relationship R03 relationship R03 All of the people listed on the individual roster, from round 1 and round 2. 6419 24801 1 Family members 2 Friends 3 Acquaintances 4 Workmate 5 Don’t know each other 6 Respondent does not know 7 One of the persons is dead 8 Sysmiss R04 relationship R04 relationship R04 relationship R04 relationship R04 relationship R04 All of the people listed on the individual roster, from round 1 and round 2. 4953 26267 1 Family members 2 Friends 3 Acquaintances 4 Workmate 5 Don’t know each other 6 Respondent does not know 7 One of the persons is dead 8 Sysmiss R05 relationship R05 relationship R05 relationship R05 relationship R05 relationship R05 All of the people listed on the individual roster, from round 1 and round 2. 3673 27547 1 Family members 2 Friends 3 Acquaintances 4 Workmate 5 Don’t know each other 6 Respondent does not know 7 One of the persons is dead 8 Sysmiss R06 relationship R06 relationship R06 relationship R06 relationship R06 relationship R06 All of the people listed on the individual roster, from round 1 and round 2. 2550 28670 1 Family members 2 Friends 3 Acquaintances 4 Workmate 5 Don’t know each other 6 Respondent does not know 7 One of the persons is dead 8 9 Sysmiss R07 relationship R07 relationship R07 relationship R07 relationship R07 relationship R07 All of the people listed on the individual roster, from round 1 and round 2. 1659 29561 1 Family members 2 Friends 3 Acquaintances 4 Workmate 5 Don’t know each other 6 Respondent does not know 7 One of the persons is dead 8 Sysmiss R08 relationship R08 relationship R08 relationship R08 relationship R08 relationship R08 All of the people listed on the individual roster, from round 1 and round 2. 1050 30170 1 Family members 2 Friends 3 Acquaintances 4 Workmate 5 Don’t know each other 6 Respondent does not know 7 One of the persons is dead 8 Sysmiss R09 relationship R09 relationship R09 relationship R09 relationship R09 relationship R09 All of the people listed on the individual roster, from round 1 and round 2. 650 30570 1 Family members 2 Friends 3 Acquaintances 4 Workmate 5 Don’t know each other 6 Respondent does not know 7 One of the persons is dead 8 Sysmiss R10 relationship R10 relationship R10 relationship R10 relationship R10 relationship R10 All of the people listed on the individual roster, from round 1 and round 2. 391 30829 1 Family members 2 Friends 3 Acquaintances 4 Workmate 5 Don’t know each other 6 Respondent does not know 7 One of the persons is dead 8 Sysmiss R11 relationship R11 relationship R11 relationship R11 relationship R11 relationship R11 All of the people listed on the individual roster, from round 1 and round 2. 221 30999 1 Family members 2 Friends 3 Acquaintances 4 Workmate 5 Don’t know each other 6 Respondent does not know 7 One of the persons is dead 8 Sysmiss R12 relationship R12 relationship R12 relationship R12 relationship R12 relationship R12 All of the people listed on the individual roster, from round 1 and round 2. 119 31101 1 Family members 2 Friends 3 Acquaintances 4 Workmate 5 Don’t know each other 6 Respondent does not know 7 One of the persons is dead 8 Sysmiss R13 relationship R13 relationship R13 relationship R13 relationship R13 relationship R13 All of the people listed on the individual roster, from round 1 and round 2. 66 31154 1 Family members 2 Friends 3 Acquaintances 4 Workmate 5 Don’t know each other 6 Respondent does not know 7 One of the persons is dead Sysmiss R14 relationship R14 relationship R14 relationship R14 relationship R14 relationship R14 All of the people listed on the individual roster, from round 1 and round 2. 37 31183 1 Family members 2 Friends 3 Acquaintances 4 Workmate 5 Don’t know each other 6 Respondent does not know 7 One of the persons is dead Sysmiss R15 relationship R15 relationship R15 relationship R15 relationship R15 relationship R15 All of the people listed on the individual roster, from round 1 and round 2. 20 31200 1 Family members 2 Friends 3 Acquaintances 4 Workmate 5 Don’t know each other 6 Respondent does not know 7 One of the persons is dead Sysmiss R16 relationship R16 relationship R16 relationship R16 relationship R16 relationship R16 All of the people listed on the individual roster, from round 1 and round 2. 11 31209 1 Family members 2 Friends 3 Acquaintances 4 Workmate 5 Don’t know each other 6 Respondent does not know 7 One of the persons is dead Sysmiss R17 relationship R17 relationship R17 relationship R17 relationship R17 relationship R17 All of the people listed on the individual roster, from round 1 and round 2. 5 31215 1 Family members 2 Friends 3 Acquaintances 4 Workmate 5 Don’t know each other 6 Respondent does not know 7 One of the persons is dead Sysmiss R18 relationship R18 relationship R18 relationship R18 relationship R18 relationship R18 All of the people listed on the individual roster, from round 1 and round 2. 2 31218 1 Family members 2 Friends 3 Acquaintances 4 Workmate 5 Don’t know each other 6 Respondent does not know 7 One of the persons is dead Sysmiss R19 relationship R19 relationship R19 relationship R19 relationship R19 relationship R19 All of the people listed on the individual roster, from round 1 and round 2. 31220 1 Family members 2 Friends 3 Acquaintances 4 Workmate 5 Don’t know each other 6 Respondent does not know 7 One of the persons is dead Sysmiss R20 relationship R20 relationship R20 relationship R20 relationship R20 relationship R20 All of the people listed on the individual roster, from round 1 and round 2. 31220 1 Family members 2 Friends 3 Acquaintances 4 Workmate 5 Don’t know each other 6 Respondent does not know 7 One of the persons is dead Sysmiss Household ID Household ID Household ID Household ID Household ID 45211 103 99999 49939.115 29049.849 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 45211 1 2 3 4 5 6 7 8 9 10 Non-food module Non-food module Non-food module Non-food module Non-food module 45211 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 45211 Item code Item code Item code Item code Item code 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. 45211 1 Adult clothing 2 Clothing for children under 12 (exclude school clothing) 3 Fabric or Cloth & Tailored clothes 4 Other clothing 5 Footwear (not for school) 6 Jewelry, watches, bracelets 7 Toys 8 Haircuts, hair dressing 9 Umbrellas, handbags, wallets 10 Food outside the home (at restaurants, bars, bought on street) 11 Beverages outside home 12 Tobacco, cigarettes 13 Toilet soap, washing 14 powder, toothpaste, etc. 15 Transportation 16 Bedding 17 Newspapers, books (not for school) 18 Kitchen utensils, pots & pans 19 Charcoal 20 Kerosene 21 Gas 22 Other fuel (specify) 23 Weddings/engagements (excluding gifts) 24 Funerals 25 Naming ceremonies 26 Circumcision ceremonies 27 Other ceremonies (excluding gifts) 28 Harambee (non-school) 29 Church contributions 30 Vacations/Holidays 31 Birthdays Item code is created from an item list in the questionnaire. Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 45211 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 45211 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 45211 Purchased Purchased Purchased Purchased Purchased In the past 4 weeks, have you purchased any [ITEM]? 34298 10913 1 Yes 2 No 8 Sysmiss How much spend How much spend How much spend How much spend How much spend How much in total did you spend on [ITEM] in the past 4 weeks? 8299 36912 1 10000 321.03 595.528 Spend any money Spend any money Spend any money Spend any money Spend any money 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 next. 10913 34298 1 Yes 2 No 8 Sysmiss How much spend How much spend How much spend How much spend How much spend How much in total did you spend on [EVENT]? 1877 43334 4 30000 275.195 1086.223 Household ID Household ID Household ID Household ID Household ID 1145 103 99999 50344.829 28864.838 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 1145 1 2 3 4 5 7 8 10 Unexpected event Unexpected event Unexpected event Unexpected event Unexpected event 1145 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 1145 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 1145 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 1145 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 1145 R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview Date of Round 1 interview. Day. 1144 1 R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview Date of Round 1 interview. Month. 1144 1 R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview Date of Round 1 interview. Year. 1144 1 Engaged in farming Engaged in farming Engaged in farming Engaged in farming Engaged in farming Since [Round 1] 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). 1145 1 Yes 2 No Weather adversely affected the yield Weather adversely affected the yield Weather adversely affected the yield Weather adversely affected the yield Weather adversely affected the yield Since [Round 1], has the weather adversely affected the crops on your farm? If answer is 2 > Go to 6 (une06 - variable name in dataset). 1053 92 1 Yes 2 No 9 Sysmiss Count of weather events Count of weather events Count of weather events Count of weather events Count of weather events 545 600 1 3 1.088 0.314 Have a problem with crop due to fire Have a problem with crop due to fire Have a problem with crop due to fire Have a problem with crop due to fire Have a problem with crop due to fire Since [Round 1], 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). 1053 92 1 Yes 2 No Sysmiss Count of events Count of events Count of events Count of events Count of events 174 971 1 3 1.086 0.301 Have problem with farm inputs Have problem with farm inputs Have problem with farm inputs Have problem with farm inputs Have problem with farm inputs Since [Round 1], have you (or any household member) had a problem with farm inputs (e.g. fertilizer, herbicide, seeds) not working as expected on your shambas? If answer is 2 > Go to 14 (une14 - variable name in dataset). 1053 92 1 Yes 2 No Sysmiss Count of farm inputs Count of farm inputs Count of farm inputs Count of farm inputs Count of farm inputs 36 1109 1 2 1.056 0.232 Have lost land due to dispute Have lost land due to dispute Have lost land due to dispute Have lost land due to dispute Have lost land due to dispute Since [Round 1], 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 18 (une18 - variable name in dataset). 1053 92 1 Yes 2 No Sysmiss Count of lost land Count of lost land Count of lost land Count of lost land Count of lost land 6 1139 1 2 1.167 0.408 Lost any stored crops to pests Lost any stored crops to pests Lost any stored crops to pests Lost any stored crops to pests Lost any stored crops to pests Since [Round 1], have you (or any household member) lost any stored crops to pests, rodents, fire, theft, or water damage? If answer is 2 > Go to 22 (une22 - variable name in dataset). 1053 92 1 Yes 2 No 8 Sysmiss Count of lost stored crop Count of lost stored crop Count of lost stored crop Count of lost stored crop Count of lost stored crop 31 1114 1 2 1.29 0.461 Owned any livestock Owned any livestock Owned any livestock Owned any livestock Owned any livestock At any time since [Round 1], have you (or your household members) owned any livestock? If answer is 2 > Go to section B (une29 - variable name in dataset). 1145 1 Yes 2 No Lost any livestock Lost any livestock Lost any livestock Lost any livestock Lost any livestock Since [Round 1], have any of these livestock died from a disease or accident? If answer is 2 > Go to section B (une29 - variable name in dataset). 1001 144 1 Yes 2 No Sysmiss Count of lost livestock Count of lost livestock Count of lost livestock Count of lost livestock Count of lost livestock 396 749 1 2 1.121 0.327 Anything been stolen from house Anything been stolen from house Anything been stolen from house Anything been stolen from house Anything been stolen from house Since [Round 1], 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). 1145 1 Yes 2 No Count of stolen things Count of stolen things Count of stolen things Count of stolen things Count of stolen things 103 1042 1 2 1.039 0.194 Have your house been danaged by weather Have your house been danaged by weather Have your house been danaged by weather Have your house been danaged by weather Have your house been danaged by weather Since [Round 1], have your houses or buildings been damaged by weather (including flood) or fire? If answer is 2 > Go to 39 (une39 - variable name in dataset). 1145 1 Yes 2 No Count of item damaged Count of item damaged Count of item damaged Count of item damaged Count of item damaged 9 1136 1 1 1 Source of drinking water unusable Source of drinking water unusable Source of drinking water unusable Source of drinking water unusable Source of drinking water unusable Since [Round 1], 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). 1145 1 Yes 2 No Count of source of drinking water Count of source of drinking water Count of source of drinking water Count of source of drinking water Count of source of drinking water 129 1016 1 2 1.093 0.292 Had job which paid a wage Had job which paid a wage Had job which paid a wage Had job which paid a wage Had job which paid a wage Since [Round 1], 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). 1145 1 Yes 2 No Had a problem of non-payment for work Had a problem of non-payment for work Had a problem of non-payment for work Had a problem of non-payment for work Had a problem of non-payment for work Since [Round 1], 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). 775 370 1 Yes 2 No 9 Sysmiss Lost any jobs Lost any jobs Lost any jobs Lost any jobs Lost any jobs Since [Round 1], have you or anyone in your household lost any jobs? If answer is 2 > Go to 51 (une51 - variable name in dataset). 775 370 1 Yes 2 No 8 Sysmiss Count of job loss Count of job loss Count of job loss Count of job loss Count of job loss 43 1102 1 1 1 Managed/owned own business Managed/owned own business Managed/owned own business Managed/owned own business Managed/owned own business Since [Round 1], have you (or any household members) managed/owned a business? If answer is 2 > End. 1145 1 Yes 2 No Have had unexpected losses in business Have had unexpected losses in business Have had unexpected losses in business Have had unexpected losses in business Have had unexpected losses in business Since [Round 1], have there been any unexpected losses in this business due to things such as theft, fire, employee fraud, debtor default, etc? If answer is 2 > End. 556 589 1 Yes 2 No 8 9 Sysmiss Household ID Household ID Household ID Household ID Household ID 593 230 99999 52249.59 28829.012 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 593 1 2 3 4 5 7 10 Unexpected event Unexpected event Unexpected event Unexpected event Unexpected event 593 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 593 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 593 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 593 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 593 R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview Date of Round 1 interview. Day. 593 R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview Date of Round 1 interview. Month. 593 R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview Date of Round 1 interview. Year. 593 Weather eventID code Weather eventID code Weather eventID code Weather eventID code Weather eventID code When did these weather events happen and what is the estimated value of the damage to your crops? Weather event ID Code 1 592 1 Sysmiss Weather eventID code Weather eventID code Weather eventID code Weather eventID code Weather eventID code When did these weather events happen and what is the estimated value of the damage to your crops? Weather event ID Code 593 1 Drought/lack of water 2 Flood 3 Hail storm 4 Frost 5 Lightening 6 Rainstorm 7 Other (specify) Weather event(other) Weather event(other) Weather event(other) Weather event(other) Weather event(other) Weather event ID Code. Other (specify). 6 Month begun Month begun Month begun Month begun Month begun Date when Event Began and Ended. Month Began. * probe for exact month. * the event could have begun last year, but make sure it has persisted after Round 1. 593 Year begun Year begun Year begun Year begun Year begun Date when Event Began and Ended. Year Began. * probe for exact month. * the event could have begun last year, but make sure it has persisted after Round 1. 593 Month ended Month ended Month ended Month ended Month ended Date when Event Began and Ended. Month Ended. * probe for exact month. * the event could have begun last year, but make sure it has persisted after Round 1. 593 Year ended Year ended Year ended Year ended Year ended Date when Event Began and Ended. Year Ended. * probe for exact month. * the event could have begun last year, but make sure it has persisted after Round 1. 593 Value of crop damaged Value of crop damaged Value of crop damaged Value of crop damaged Value of crop damaged Estimated Value of Crop Damage due to the Weather Event (KSh) 593 40 180000 9327.951 15140.695 Household ID Household ID Household ID Household ID Household ID 189 426 99799 51408.095 29183.186 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 189 1 2 3 4 5 7 Unexpected event Unexpected event Unexpected event Unexpected event Unexpected event 189 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 189 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 189 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 189 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 189 R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview Date of Round 1 interview. Day. 189 R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview Date of Round 1 interview. Month. 189 R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview Date of Round 1 interview. Year. 189 Line number Line number Line number Line number Line number When did these problems happen and what was the value of the damage to your crops? Event ID Code 1 188 Event code Event code Event code Event code Event code When did these problems happen and what was the value of the damage to your crops? Event ID Code 189 1 Insects 2 Rodents 3 Animals eating crops 4 Theft 5 Fire 6 Other (specify) Event code (other) Event code (other) Event code (other) Event code (other) Event code (other) Event ID Code. Other (specify). 5 Date of event - Month Date of event - Month Date of event - Month Date of event - Month Date of event - Month Date of Event. Month. * probe for exact month. * year should be 2004. 189 Date of event - Year Date of event - Year Date of event - Year Date of event - Year Date of event - Year Date of Event. Year. * probe for exact month. * year should be 2004. 189 Value of crop damage Value of crop damage Value of crop damage Value of crop damage Value of crop damage Estimated Value of Crop Damage due to the Event (KSh). 189 60 20000 1671.111 2428.177 Household ID Household ID Household ID Household ID Household ID 38 197 98627 43823.105 28302.031 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 38 1 2 3 Unexpected event Unexpected event Unexpected event Unexpected event Unexpected event 38 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 38 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 38 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 38 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 38 R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview Date of Round 1 interview. Day. 38 R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview Date of Round 1 interview. Month. 38 R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview Date of Round 1 interview. Year. 38 Line number Line number Line number Line number Line number When did this happen and what was the value of the damage to your crops? Problem ID Code 38 Problem ID Code Problem ID Code Problem ID Code Problem ID Code Problem ID Code When did this happen and what was the value of the damage to your crops? Problem ID Code 38 1 Fertilizers 2 Herbicides 3 Other chemicals 4 Seeds Date of event -Month Date of event -Month Date of event -Month Date of event -Month Date of event -Month Date of Problem. Month. * probe for exact month. * year should be 2004. 38 Date of event -Year Date of event -Year Date of event -Year Date of event -Year Date of event -Year Date of Problem. Year. * probe for exact month. * year should be 2004. 38 Value of damage Value of damage Value of damage Value of damage Value of damage Estimated Value of Damage due to the Event (KSh). 38 400 100000 10339.474 16879.71 Household ID Household ID Household ID Household ID Household ID 7 40598 98607 81581.286 20488.054 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 7 1 Unexpected event Unexpected event Unexpected event Unexpected event Unexpected event 7 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 7 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 7 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 7 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 7 R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview Date of Round 1 interview. Day. 7 R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview Date of Round 1 interview. Month. 7 R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview Date of Round 1 interview. Year. 7 Unit Unit Unit Unit Unit 7 Date of event -Month Date of event -Month Date of event -Month Date of event -Month Date of event -Month When did this happen and what was the value of the loss? Date of Event. Month. 7 Date of event -Year Date of event -Year Date of event -Year Date of event -Year Date of event -Year When did this happen and what was the value of the loss? Date of Event. Year. 7 Land Quantity Land Quantity Land Quantity Land Quantity Land Quantity Land Quantity 7 20 250 145.714 88.291 Land Unit Code Land Unit Code Land Unit Code Land Unit Code Land Unit Code Land Unit Code 7 1 Acres 2 Hectares 3 Sq. meters 4 Sq. feet Value of land Value of land Value of land Value of land Value of land Value of the land that was lost [Amount in KSh]. 7 375000 227142.857 147022.026 Household ID Household ID Household ID Household ID Household ID 40 6270 99522 49161.025 31791.944 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 40 1 2 3 7 Unexpected event Unexpected event Unexpected event Unexpected event Unexpected event 40 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 40 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 40 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 40 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 40 R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview Date of Round 1 interview. Day. 40 R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview Date of Round 1 interview. Month. 40 R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview Date of Round 1 interview. Year. 40 Unit Unit Unit Unit Unit 40 Reason for loss Reason for loss Reason for loss Reason for loss Reason for loss Reason for loss 40 1 Pests 2 Rodents 3 Fire 4 Theft 5 Water damage 6 Other (specify) Reason for loss(other) Reason for loss(other) Reason for loss(other) Reason for loss(other) Reason for loss(other) Reason for loss. Other (specify). 1 Date of event -Month Date of event -Month Date of event -Month Date of event -Month Date of event -Month Date of Event. Month. * probe for exact month. * year should be 2004. 40 Date of event -Year Date of event -Year Date of event -Year Date of event -Year Date of event -Year Date of Event. Year. * probe for exact month. * year should be 2004. 40 Value of loss Value of loss Value of loss Value of loss Value of loss Value of loss (KSh) 40 50 5000 1135.675 1140.184 Household ID Household ID Household ID Household ID Household ID 444 230 99975 50963.372 28649.299 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 444 1 2 3 4 5 7 8 Unexpected event Unexpected event Unexpected event Unexpected event Unexpected event 444 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 444 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 444 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 444 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 444 R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview Date of Round 1 interview. Day. 443 1 R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview Date of Round 1 interview. Month. 443 1 R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview Date of Round 1 interview. Year. 443 1 Unit Unit Unit Unit Unit 444 Sysmiss Date of livestock loss - Month Date of livestock loss - Month Date of livestock loss - Month Date of livestock loss - Month Date of livestock loss - Month Date of Livestock loss. Month. * probe for exact month. * year should be 2004. 444 Date of livestock loss - Year Date of livestock loss - Year Date of livestock loss - Year Date of livestock loss - Year Date of livestock loss - Year Date of Livestock loss. Year. * probe for exact month. * year should be 2004. 444 Value of loss Value of loss Value of loss Value of loss Value of loss Value of loss (KSh) 444 99 70000 7632.07 9791.447 Household ID Household ID Household ID Household ID Household ID 107 1075 99999 56301.561 28265.533 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 107 1 2 3 Unexpected event Unexpected event Unexpected event Unexpected event Unexpected event 107 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 107 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 107 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 107 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 107 R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview Date of Round 1 interview. Day. 107 R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview Date of Round 1 interview. Month. 107 R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview Date of Round 1 interview. Year. 107 Unit Unit Unit Unit Unit 1 106 Month of theft Month of theft Month of theft Month of theft Month of theft Date of theft. Month. * probe for exact month * year should be 2004 107 Year of theft Year of theft Year of theft Year of theft Year of theft Date of theft. Year. * probe for exact month * year should be 2004 107 Value of stolen item Value of stolen item Value of stolen item Value of stolen item Value of stolen item Value of stolen items (KSh) 107 48 42000 2946.897 6963.523 Household ID Household ID Household ID Household ID Household ID 9 1511 93932 47840.778 33656.153 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 9 1 2 3 Unexpected event Unexpected event Unexpected event Unexpected event Unexpected event 9 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 9 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 9 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 9 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 9 R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview Date of Round 1 interview. Day. 9 R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview Date of Round 1 interview. Month. 9 R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview Date of Round 1 interview. Year. 9 Unit Unit Unit Unit Unit 9 Date of weather event - Month Date of weather event - Month Date of weather event - Month Date of weather event - Month Date of weather event - Month Date of Weather Event. Month. * probe for exact month. * year should be 2004. 9 Date of weather event - Year Date of weather event - Year Date of weather event - Year Date of weather event - Year Date of weather event - Year Date of Weather Event. Year. * probe for exact month. * year should be 2004. 9 Value of damage Value of damage Value of damage Value of damage Value of damage Value of damaged items (KSh) 9 300 40000 6266.667 12758.625 Household ID Household ID Household ID Household ID Household ID 141 197 99806 53352.979 29678.039 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 141 1 2 3 4 Unexpected event Unexpected event Unexpected event Unexpected event Unexpected event 141 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 141 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 141 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 141 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 141 R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview Date of Round 1 interview. Day. 141 R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview Date of Round 1 interview. Month. 141 R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview Date of Round 1 interview. Year. 141 Unit Unit Unit Unit Unit 141 Start date of water problem - Month Start date of water problem - Month Start date of water problem - Month Start date of water problem - Month Start date of water problem - Month Start date of water problems. Month. * probe for exact month. * year should be 2004. 141 Start date of water problem - Year Start date of water problem - Year Start date of water problem - Year Start date of water problem - Year Start date of water problem - Year Start date of water problems. Year. * probe for exact month. * year should be 2004. 141 Duration of water problem Duration of water problem Duration of water problem Duration of water problem Duration of water problem Duration (in Days) of water problem. 141 1 120 32.965 29.763 Reason water source was unusable Reason water source was unusable Reason water source was unusable Reason water source was unusable Reason water source was unusable Reason water source was unusable. 141 1 Contaminated by animal 2 Contaminated by soil 3 Flooded 4 Dried up/drought 5 Other (specify) Reason water source was unusable (Other) Reason water source was unusable (Other) Reason water source was unusable (Other) Reason water source was unusable (Other) Reason water source was unusable (Other) Reason water source was unusable. Other (specify). 5 Household ID Household ID Household ID Household ID Household ID 84 1723 99011 49747.357 28585.905 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 84 1 2 3 5 Unexpected event Unexpected event Unexpected event Unexpected event Unexpected event 84 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 84 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 84 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 84 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 84 R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview Date of Round 1 interview. Day. 84 R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview Date of Round 1 interview. Month. 84 R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview Date of Round 1 interview. Year. 84 Count Count Count Count Count 84 Month supposed to be paid Month supposed to be paid Month supposed to be paid Month supposed to be paid Month supposed to be paid Date person was supposed to be paid. Month. 84 Year supposed to be paid Year supposed to be paid Year supposed to be paid Year supposed to be paid Year supposed to be paid Date person was supposed to be paid. Year. 84 Amount were supposed to be paid Amount were supposed to be paid Amount were supposed to be paid Amount were supposed to be paid Amount were supposed to be paid Amount person was supposed to be paid (KSh). 84 50 26000 3097.548 3797.813 Month actually paid Month actually paid Month actually paid Month actually paid Month actually paid Date actually paid. Month 84 98 Not paid Year actually paid Year actually paid Year actually paid Year actually paid Year actually paid Date actually paid. Year. 82 2 98 Not paid Household ID Household ID Household ID Household ID Household ID 43 1328 99188 51449.395 28438.171 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 43 1 2 3 5 Unexpected event Unexpected event Unexpected event Unexpected event Unexpected event 43 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 43 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 43 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 43 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 43 R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview Date of Round 1 interview. Day. 43 R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview Date of Round 1 interview. Month. 43 R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview Date of Round 1 interview. Year. 43 Count Count Count Count Count 43 Sysmiss Month lost a job Month lost a job Month lost a job Month lost a job Month lost a job Date Job was Lost. Month. 43 Year lost a job Year lost a job Year lost a job Year lost a job Year lost a job Date Job was Lost. Year. 43 Monthly salary of the job Monthly salary of the job Monthly salary of the job Monthly salary of the job Monthly salary of the job Monthly salary of the job (KSh). 43 99 17000 3237.791 3365.329 Household ID Household ID Household ID Household ID Household ID 316 197 99999 50208.82 28524.587 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 316 1 2 3 Unexpected event Unexpected event Unexpected event Unexpected event Unexpected event 316 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 316 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 316 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 316 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 316 R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview Date of Round 1 interview. Day. 316 R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview Date of Round 1 interview. Month. 316 R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview Date of Round 1 interview. Year. 316 Count Count Count Count Count 2 314 1 2 1.5 0.707 Month of unexpected loss Month of unexpected loss Month of unexpected loss Month of unexpected loss Month of unexpected loss Date of Unexpected Loss. Month. 316 Year of unexpected loss Year of unexpected loss Year of unexpected loss Year of unexpected loss Year of unexpected loss Date of Unexpected Loss. Year. 316 Amount of loss Amount of loss Amount of loss Amount of loss Amount of loss Amount of Loss (KSh). 316 10 63000 2032.509 5574.914 Why have the loss Why have the loss Why have the loss Why have the loss Why have the loss Why did you have the loss? 316 1 Default/non-payment 2 Theft 3 Fire 4 Unexpected price fall 5 Spoilage 6 Other (specify) 9 Why have the loss (Other) Why have the loss (Other) Why have the loss (Other) Why have the loss (Other) Why have the loss (Other) Why did you have the loss? Other (specify). 26 Household ID Household ID Household ID Household ID Household ID 1530 103 99999 49839.559 29042.126 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 1530 1 2 3 4 5 6 7 8 9 10 Time & Risk module Time & Risk module Time & Risk module Time & Risk module Time & Risk module 1530 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 1530 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 1530 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 1530 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 1530 1A. Ever bought lottery ticket 1A. Ever bought lottery ticket 1A. Ever bought lottery ticket 1A. Ever bought lottery ticket 1A. Ever bought lottery ticket The following three questions concern the purchase of lottery or raffle tickets. Have you ever bought lottery or raffle tickets? If answer is 2 > Go to 2 (trp2 - variable name in dataset). 1530 1 Yes 2 No 1B. How often buy raffle ticket 1B. How often buy raffle ticket 1B. How often buy raffle ticket 1B. How often buy raffle ticket 1B. How often buy raffle ticket How often do you buy lottery or raffle tickets? 387 1143 1 once every week 2 once every two weeks 3 once every month 4 once every two months or more 5 once every year 6 less than once a year 8 Sysmiss 1C. How much spend on lottery in past 6 months 1C. How much spend on lottery in past 6 months 1C. How much spend on lottery in past 6 months 1C. How much spend on lottery in past 6 months 1C. How much spend on lottery in past 6 months How much money did you spend on lottery tickets in the past six months? 386 1144 2000 39.085 159.63 2. Been offered a prize of one meal 2. Been offered a prize of one meal 2. Been offered a prize of one meal 2. Been offered a prize of one meal 2. Been offered a prize of one meal You have been offered a prize of one meal at a nyama choma hotel, but you must use this prize within two months. When would you request this prize? 1530 1 Request the prize this week 2 Wait for a while before requesting the prize 8 3A. Type of cow 3A. Type of cow 3A. Type of cow 3A. Type of cow 3A. Type of cow Suppose you are going to be given (or purchase) a cow and you have a choice between two different types of cows each of which has a different milk production profile. The type 1 cow will certainly produce 10 litres of milk everyday. But for each of the type 2 cows, we are not certain exactly how much milk will be produced. For each of the following choices between the type 1 and type 2 cow, which type of cow do you prefer? Type 1: 10L guaranteed Type 2: 50:50 chance at 5L:40L If answer is 1 > Go to 4 (trp4a - variable name in dataset). 1530 1 Type 1 2 Type 2 3B. Type of cow 3B. Type of cow 3B. Type of cow 3B. Type of cow 3B. Type of cow Suppose you are going to be given (or purchase) a cow and you have a choice between two different types of cows each of which has a different milk production profile. The type 1 cow will certainly produce 10 litres of milk everyday. But for each of the type 2 cows, we are not certain exactly how much milk will be produced. For each of the following choices between the type 1 and type 2 cow, which type of cow do you prefer? Type 1: 10L guaranteed Type 2: 50:50 chance at 5L:10L If answer is 2 > Go to 4 (trp4a - variable name in dataset). 147 1383 1 Type 1 2 Type 2 9 Sysmiss 3C. Type of cow 3C. Type of cow 3C. Type of cow 3C. Type of cow 3C. Type of cow Suppose you are going to be given (or purchase) a cow and you have a choice between two different types of cows each of which has a different milk production profile. The type 1 cow will certainly produce 10 litres of milk everyday. But for each of the type 2 cows, we are not certain exactly how much milk will be produced. For each of the following choices between the type 1 and type 2 cow, which type of cow do you prefer? Type 1: 10L guaranteed Type 2: 50:50 chance at 5L:30L If answer is 1 > Go to 4 (trp4a - variable name in dataset). 106 1424 1 Type 1 2 Type 2 Sysmiss 3D. Type of cow 3D. Type of cow 3D. Type of cow 3D. Type of cow 3D. Type of cow Suppose you are going to be given (or purchase) a cow and you have a choice between two different types of cows each of which has a different milk production profile. The type 1 cow will certainly produce 10 litres of milk everyday. But for each of the type 2 cows, we are not certain exactly how much milk will be produced. For each of the following choices between the type 1 and type 2 cow, which type of cow do you prefer? Type 1: 10L guaranteed Type 2: 50:50 chance at 5L:15L If answer is 2 > Go to 4 (trp4a - variable name in dataset). 92 1438 1 Type 1 2 Type 2 Sysmiss 3E. Type of cow 3E. Type of cow 3E. Type of cow 3E. Type of cow 3E. Type of cow Suppose you are going to be given (or purchase) a cow and you have a choice between two different types of cows each of which has a different milk production profile. The type 1 cow will certainly produce 10 litres of milk everyday. But for each of the type 2 cows, we are not certain exactly how much milk will be produced. For each of the following choices between the type 1 and type 2 cow, which type of cow do you prefer? Type 1: 10L guaranteed Type 2: 50:50 chance at 5L:25L If answer is 1 > Go to 4 (trp4a - variable name in dataset). 28 1502 1 Type 1 2 Type 2 8 Sysmiss 3F. Type of cow 3F. Type of cow 3F. Type of cow 3F. Type of cow 3F. Type of cow Suppose you are going to be given (or purchase) a cow and you have a choice between two different types of cows each of which has a different milk production profile. The type 1 cow will certainly produce 10 litres of milk everyday. But for each of the type 2 cows, we are not certain exactly how much milk will be produced. For each of the following choices between the type 1 and type 2 cow, which type of cow do you prefer? Type 1: 10L guaranteed Type 2: 50:50 chance at 5L:20L 23 1507 1 Type 1 2 Type 2 8 Sysmiss 3G. Respondent understand the question 3G. Respondent understand the question 3G. Respondent understand the question 3G. Respondent understand the question 3G. Respondent understand the question INTERVIEWER: Did respondent understand the question? 1530 1 Yes 2 No 4 8 4A. Amount option 4A. Amount option 4A. Amount option 4A. Amount option 4A. Amount option Suppose you have the option of receiving either 500 KShs now or a certain amount of money one year from now. Ask respondent if he/she prefers option 1or 2 for each of the following choices. Option 1: 500 KShs now Option 2: 1000 KShs one year from now If answer is 1 > Go to 5 (trp5a - variable name in dataset). 1530 1 Option 1 2 Option 2 8 4B. Amount option 4B. Amount option 4B. Amount option 4B. Amount option 4B. Amount option Suppose you have the option of receiving either 500 KShs now or a certain amount of money one year from now. Ask respondent if he/she prefers option 1or 2 for each of the following choices. Option 1: 500 KShs now Option 2: 500 KShs one year from now If answer is 2 > Go to 5 (trp5a - variable name in dataset). 153 1377 1 Option 1 2 Option 2 Sysmiss 4C. Amount option 4C. Amount option 4C. Amount option 4C. Amount option 4C. Amount option Suppose you have the option of receiving either 500 KShs now or a certain amount of money one year from now. Ask respondent if he/she prefers option 1or 2 for each of the following choices. Option 1: 500 KShs now Option 2: 900 KShs one year from now If answer is 1 > Go to 5 (trp5a - variable name in dataset). 135 1395 1 Option 1 2 Option 2 Sysmiss 4D. Amount option 4D. Amount option 4D. Amount option 4D. Amount option 4D. Amount option Suppose you have the option of receiving either 500 KShs now or a certain amount of money one year from now. Ask respondent if he/she prefers option 1or 2 for each of the following choices. Option 1: 500 KShs now Option 2: 600 KShs one year from now If answer is 2 > Go to 5 (trp5a - variable name in dataset). 113 1417 1 Option 1 2 Option 2 Sysmiss 4E. Amount option 4E. Amount option 4E. Amount option 4E. Amount option 4E. Amount option Suppose you have the option of receiving either 500 KShs now or a certain amount of money one year from now. Ask respondent if he/she prefers option 1or 2 for each of the following choices. Option 1: 500 KShs now Option 2: 800 KShs one year from now If answer is 1 > Go to 5 (trp5a - variable name in dataset). 87 1443 1 Option 1 2 Option 2 Sysmiss 4F. Amount option 4F. Amount option 4F. Amount option 4F. Amount option 4F. Amount option Suppose you have the option of receiving either 500 KShs now or a certain amount of money one year from now. Ask respondent if he/she prefers option 1or 2 for each of the following choices. Option 1: 500 KShs now Option 2: 700 KShs one year from now 74 1456 1 Option 1 2 Option 2 Sysmiss 4G. Respondent understand the question 4G. Respondent understand the question 4G. Respondent understand the question 4G. Respondent understand the question 4G. Respondent understand the question INTERVIEWER: Did respondent understand the question? 1530 1 Yes 2 No 5A. Sometime not dependable 5A. Sometime not dependable 5A. Sometime not dependable 5A. Sometime not dependable 5A. Sometime not dependable Indicate on a six-point scale the extent of agreement or disagreement with the following statements. Sometimes I am not as dependable or reliable in fulfilling important duties. 1530 1 Disagree 2 Disagree somewhat 3 Agree somewhat 4 Agree 8 5B. Often have difficult organizing in advance 5B. Often have difficult organizing in advance 5B. Often have difficult organizing in advance 5B. Often have difficult organizing in advance 5B. Often have difficult organizing in advance Indicate on a six-point scale the extent of agreement or disagreement with the following statements. I often have difficulty organizing in advance for upcoming expenses like school fees and fertilizers. 1530 1 Disagree 2 Disagree somewhat 3 Agree somewhat 4 Agree 8 5C. Often feel that speek too quickly 5C. Often feel that speek too quickly 5C. Often feel that speek too quickly 5C. Often feel that speek too quickly 5C. Often feel that speek too quickly Indicate on a six-point scale the extent of agreement or disagreement with the following statements. I often feel that I speak or act too quickly, without thinking about the consequences. 1530 1 Disagree 2 Disagree somewhat 3 Agree somewhat 4 Agree 8 6A. Amount opinion 6A. Amount opinion 6A. Amount opinion 6A. Amount opinion 6A. Amount opinion Suppose you have the option of receiving either 500 KShs now or a certain amount of money one month from now. Ask respondent if he/she prefers option 1or 2 for each of the following choices. Option 1: 500 KShs now Option 2: 1000 KShs one month from now If answer is 1 > Go to 7 (trp7a - variable name in dataset). 1529 1 1 Option 1 2 Option 2 Sysmiss 6B. Amount opinion 6B. Amount opinion 6B. Amount opinion 6B. Amount opinion 6B. Amount opinion Suppose you have the option of receiving either 500 KShs now or a certain amount of money one month from now. Ask respondent if he/she prefers option 1or 2 for each of the following choices. Option 1: 500 KShs now Option 2: 500 KShs one month from now If answer is 2 > Go to 7 (trp7a - variable name in dataset). 408 1122 1 Option 1 2 Option 2 8 Sysmiss 6C. Amount opinion 6C. Amount opinion 6C. Amount opinion 6C. Amount opinion 6C. Amount opinion Suppose you have the option of receiving either 500 KShs now or a certain amount of money one month from now. Ask respondent if he/she prefers option 1or 2 for each of the following choices. Option 1: 500 KShs now Option 2: 900 KShs one month from now If answer is 1 > Go to 7 (trp7a - variable name in dataset). 380 1150 1 Option 1 2 Option 2 8 Sysmiss 6D. Amount opinion 6D. Amount opinion 6D. Amount opinion 6D. Amount opinion 6D. Amount opinion Suppose you have the option of receiving either 500 KShs now or a certain amount of money one month from now. Ask respondent if he/she prefers option 1or 2 for each of the following choices. Option 1: 500 KShs now Option 2: 600 KShs one month from now If answer is 2 > Go to 7 (trp7a - variable name in dataset). 338 1192 1 Option 1 2 Option 2 8 Sysmiss 6E. Amount opinion 6E. Amount opinion 6E. Amount opinion 6E. Amount opinion 6E. Amount opinion Suppose you have the option of receiving either 500 KShs now or a certain amount of money one month from now. Ask respondent if he/she prefers option 1or 2 for each of the following choices. Option 1: 500 KShs now Option 2: 800 KShs one month from now If answer is 1 > Go to 7 (trp7a - variable name in dataset). 254 1276 1 Option 1 2 Option 2 8 Sysmiss 6F. Amount opinion 6F. Amount opinion 6F. Amount opinion 6F. Amount opinion 6F. Amount opinion Suppose you have the option of receiving either 500 KShs now or a certain amount of money one month from now. Ask respondent if he/she prefers option 1or 2 for each of the following choices. Option 1: 500 KShs now Option 2: 700 KShs one month from now 207 1323 1 Option 1 2 Option 2 8 Sysmiss 6G. Respondent understand the question 6G. Respondent understand the question 6G. Respondent understand the question 6G. Respondent understand the question 6G. Respondent understand the question INTERVIEWER: Did respondent understand the question? 1530 1 Yes 2 No 8 7A. Choose between 1 & 2 7A. Choose between 1 & 2 7A. Choose between 1 & 2 7A. Choose between 1 & 2 7A. Choose between 1 & 2 Men: You have the option of choosing between four different plots of land. The plots of land are of the same size and you can grow maize on all the plots. The plots are different in that the annual maize output from using the same amount of inputs will be more variable on some than on others. Women: You have the option of choosing between four different chicken. The chickens are of the same size. The chickens are different in that the weekly production of eggs will be more variable for some than for others. The following are the four plots of land / chickens -- If you had to choose between 1 and 2, which one would you choose? WRITE THESE FOR THE RESPONDENT: Chicken 1 / Plot 1 - 50:50 chance 40:120 bags/eggs Chicken 2 / Plot 2 - 50:50 chance 35:125 bags/eggs Chicken 3 / Plot 3 - 50:50 chance 30:150 bags/eggs Chicken 4 / Plot 4 - 50:50 chance 20:160 bags/eggs 1530 1 2 8 7B. Choose between 3 & 4 7B. Choose between 3 & 4 7B. Choose between 3 & 4 7B. Choose between 3 & 4 7B. Choose between 3 & 4 Men: You have the option of choosing between four different plots of land. The plots of land are of the same size and you can grow maize on all the plots. The plots are different in that the annual maize output from using the same amount of inputs will be more variable on some than on others. Women: You have the option of choosing between four different chicken. The chickens are of the same size. The chickens are different in that the weekly production of eggs will be more variable for some than for others. The following are the four plots of land / chickens -- If you had to choose between 3 and 4, which one would you choose? WRITE THESE FOR THE RESPONDENT: Chicken 1 / Plot 1 - 50:50 chance 40:120 bags/eggs Chicken 2 / Plot 2 - 50:50 chance 35:125 bags/eggs Chicken 3 / Plot 3 - 50:50 chance 30:150 bags/eggs Chicken 4 / Plot 4 - 50:50 chance 20:160 bags/eggs 1530 2 3 4 8 7C. Choose on of the 4 7C. Choose on of the 4 7C. Choose on of the 4 7C. Choose on of the 4 7C. Choose on of the 4 Men: You have the option of choosing between four different plots of land. The plots of land are of the same size and you can grow maize on all the plots. The plots are different in that the annual maize output from using the same amount of inputs will be more variable on some than on others. Women: You have the option of choosing between four different chicken. The chickens are of the same size. The chickens are different in that the weekly production of eggs will be more variable for some than for others. The following are the four plots of land / chickens -- If you had to choose one of the four listed above, which one would you choose? WRITE THESE FOR THE RESPONDENT: Chicken 1 / Plot 1 - 50:50 chance 40:120 bags/eggs Chicken 2 / Plot 2 - 50:50 chance 35:125 bags/eggs Chicken 3 / Plot 3 - 50:50 chance 30:150 bags/eggs Chicken 4 / Plot 4 - 50:50 chance 20:160 bags/eggs 1530 1 2 3 4 8 9 7D. Respondent understand the question 7D. Respondent understand the question 7D. Respondent understand the question 7D. Respondent understand the question 7D. Respondent understand the question INTERVIEWER: Did respondent understand the question? 1530 1 Yes 2 No 3 4 8 8A. Vouchers would like to use in year 1 8A. Vouchers would like to use in year 1 8A. Vouchers would like to use in year 1 8A. Vouchers would like to use in year 1 8A. Vouchers would like to use in year 1 Start by explaining that the next set of questions are meant to learn something about your impatience, and temptation to consume some luxury item. Let us consider the case of vouchers to be used at a nice duka. Suppose that you win 10 vouchers that have a value of 500 KShs each. You can buy anything you want with the vouchers. The vouchers are available for immediate use starting today, and there is an absolute guarantee that they will be available whenever you request them within a two-year window. Once you request a voucher, you must use it within one day. You must request all the vouchers within a two-year period. The questions below concern how many of the vouchers you would ideally like to use in each year, how tempted you would be to depart from this ideal, and what you expect you would actually do in practice. From your current perspective, how many of the vouchers would you ideally like to use in year 1? 1530 1 99 5.679 3.79 8B. What would be tempted to do 8B. What would be tempted to do 8B. What would be tempted to do 8B. What would be tempted to do 8B. What would be tempted to do Start by explaining that the next set of questions are meant to learn something about your impatience, and temptation to consume some luxury item. Let us consider the case of vouchers to be used at a nice duka. Suppose that you win 10 vouchers that have a value of 500 KShs each. You can buy anything you want with the vouchers. The vouchers are available for immediate use starting today, and there is an absolute guarantee that they will be available whenever you request them within a two-year window. Once you request a voucher, you must use it within one day. You must request all the vouchers within a two-year period. The questions below concern how many of the vouchers you would ideally like to use in each year, how tempted you would be to depart from this ideal, and what you expect you would actually do in practice. What would you be tempted to do? Which of the following best describes you? If answer is 3 > End. 1530 1 I would be strongly tempted to keep more vouchers for the second year than ideal 2 I would be somewhat tempted to keep more vouchers for the second year than ideal 3 I would have no temptation in either direction 4 I would be somewhat tempted to use more vouchers in the first year than ideal 5 I would be strongly tempted to use more vouchers in the first year than ideal 8 8C. Vouchers would end up using in year 1 8C. Vouchers would end up using in year 1 8C. Vouchers would end up using in year 1 8C. Vouchers would end up using in year 1 8C. Vouchers would end up using in year 1 Start by explaining that the next set of questions are meant to learn something about your impatience, and temptation to consume some luxury item. Let us consider the case of vouchers to be used at a nice duka. Suppose that you win 10 vouchers that have a value of 500 KShs each. You can buy anything you want with the vouchers. The vouchers are available for immediate use starting today, and there is an absolute guarantee that they will be available whenever you request them within a two-year window. Once you request a voucher, you must use it within one day. You must request all the vouchers within a two-year period. The questions below concern how many of the vouchers you would ideally like to use in each year, how tempted you would be to depart from this ideal, and what you expect you would actually do in practice. After having thought about your temptation and how you would actually behave, how many of the vouchers would you end up using in year 1? 379 1151 1 98 7.356 12.66 Household ID Household ID Household ID Household ID Household ID 1561 103 99999 49959.55 29055.603 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 1561 1 2 3 4 5 6 7 8 9 10 Transfers & Credits Transfers & Credits Transfers & Credits Transfers & Credits Transfers & Credits 1561 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 1561 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 1561 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 1561 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 1561 R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview Date of Round 1 interview. Day. 1560 1 R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview Date of Round 1 interview. Month. 1560 1 R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview Date of Round 1 interview. Year. 1560 1 Received money or goods Received money or goods Received money or goods Received money or goods Received money or goods Since [round 1], have you received money or goods from persons who are not members of your household? For example, have you received any transfers or loans from children, parents, relatives or friends living elsewhere? * If no, probe for gifts, money received for funerals, child support, weddings, money to help sick persons–since [round 1]. Exclude transfers/loans for medical care, school expenses, and land gifts. If answer is 2 > Go to 9 (tr09 - variable name in dataset). 1561 1 Yes 2 No Number of people received money from Number of people received money from Number of people received money from Number of people received money from Number of people received money from 1009 552 1 7 2.422 1.516 Have received any transfers from any organization Have received any transfers from any organization Have received any transfers from any organization Have received any transfers from any organization Have received any transfers from any organization Since [round 1], have you received any transfer from any organization or the government? * Probe for food transfers from organizations, etc. If answer is 2 > Go to 13 (tr13 - variable name in dataset). 1561 1 Yes 2 No 8 Count of organization Count of organization Count of organization Count of organization Count of organization 212 1349 3 1.066 0.301 Responsible for repaying any other loans Responsible for repaying any other loans Responsible for repaying any other loans Responsible for repaying any other loans Responsible for repaying any other loans Are you responsible for repaying any other loans including personal, family, or business loans (that we have not discussed above)? Include all loans from before the round 1 interview. If answer is 2 > Go to Section B (trb01 - variable name in dataset). 1561 1 Yes 2 No Total amount the owe for repayment Total amount the owe for repayment Total amount the owe for repayment Total amount the owe for repayment Total amount the owe for repayment What is the total amount that you owe for repayment of these outstanding debts? 257 1304 20 300000 17196.405 43773.791 Any part of debt incurred to pay for medical care Any part of debt incurred to pay for medical care Any part of debt incurred to pay for medical care Any part of debt incurred to pay for medical care Any part of debt incurred to pay for medical care Was any part of this debt incurred to pay for medical care? 257 1304 1 Yes 2 No Sysmiss How much was incurred for medical care How much was incurred for medical care How much was incurred for medical care How much was incurred for medical care How much was incurred for medical care How much debt was incurred for medical care? 31 1530 50 35000 7962.258 9924.641 When debt was incurred - Month When debt was incurred - Month When debt was incurred - Month When debt was incurred - Month When debt was incurred - Month When was this debt incurred? Month. Record month and year when most of the debt was incurred 31 1530 When debt was incurred - Year When debt was incurred - Year When debt was incurred - Year When debt was incurred - Year When debt was incurred - Year When was this debt incurred? Year. Record month and year when most of the debt was incurred 32 1529 Provided any money or goods Provided any money or goods Provided any money or goods Provided any money or goods Provided any money or goods Since [round 1], 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? *If no, probe for gifts, money given for funerals, child support, weddings, money to help sick persons-since [round 1]. Exclude transfers/loans for school expenses and land gifts.. If answer is 2 > Go to 9 (trb09 - variable name in dataset). 1561 1 Yes 2 No 8 Count of different people did you send money, gifts Count of different people did you send money, gifts Count of different people did you send money, gifts Count of different people did you send money, gifts Count of different people did you send money, gifts 868 693 7 1.758 1.062 Any group anyone owe you money Any group anyone owe you money Any group anyone owe you money Any group anyone owe you money Any group anyone owe you money Does anyone or any group owe you money or goods that you expect to be repaid (that we have not discussed above)? Include all loans from before the round 1 interview. If answer is 2 > Go to section C (trc01 - variable name in dataset). 1561 1 Yes 2 No 8 Total amount owed to you Total amount owed to you Total amount owed to you Total amount owed to you Total amount owed to you What is the total amount owed to you from these other individuals or groups? Amount in KSh. 237 1324 50 205000 8147.477 21259.2 Was any part of this loan made to pay for medical care Was any part of this loan made to pay for medical care Was any part of this loan made to pay for medical care Was any part of this loan made to pay for medical care Was any part of this loan made to pay for medical care 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). 237 1324 1 Yes 2 No 8 Sysmiss How much lent to pay for medical care How much lent to pay for medical care How much lent to pay for medical care How much lent to pay for medical care How much lent to pay for medical care How much was lent to pay for medical care? Amount in KSh. 11 1550 98 5000 1705.818 1807.422 When the loan was made - Month When the loan was made - Month When the loan was made - Month When the loan was made - Month When the loan was made - Month When was this loan made? Month. Record month and year when most of the loan was made. 11 1550 When the loan was made - Year When the loan was made - Year When the loan was made - Year When the loan was made - Year When the loan was made - Year When was this loan made? Year. Record month and year when most of the loan was made. 12 1549 Participate in any informal savings organization Participate in any informal savings organization Participate in any informal savings organization Participate in any informal savings organization Participate in any informal savings organization 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). 1561 1 Yes 2 No How much contribute to the fund (Amount) How much contribute to the fund (Amount) How much contribute to the fund (Amount) How much contribute to the fund (Amount) How much contribute to the fund (Amount) How much do you contribute to this fund and how often? Amount. If more than one group, ask about the most important. 328 1233 20 3000 317.424 361.226 How much contribute to the fund (Frequency) How much contribute to the fund (Frequency) How much contribute to the fund (Frequency) How much contribute to the fund (Frequency) How much contribute to the fund (Frequency) How much do you contribute to this fund and how often? Frequency code. If more than one group, ask about the most important. 328 1233 1 once a week 2 every two weeks 3 once a month 4 every three months 5 every six months 6 once a year 7 less than once a year Sysmiss How much contributed since round 1 How much contributed since round 1 How much contributed since round 1 How much contributed since round 1 How much contributed since round 1 How much did you contribute to this group since [round 1]? 328 1233 84000 3780.576 7817.702 Members draw on regular basis Members draw on regular basis Members draw on regular basis Members draw on regular basis Members draw on regular basis 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). 328 1233 1 Regularly 2 Urgent need 3 Both Sysmiss How often members receive money How often members receive money How often members receive money How often members receive money How often members receive money How often does each member receive money from this fund? Frequency code. 326 1235 1 once a week 2 every two weeks 3 once a month 4 every three months 5 every six months 6 once a year 7 less than once a year Sysmiss How much received since round 1 How much received since round 1 How much received since round 1 How much received since round 1 How much received since round 1 How much did you receive from this group since [round 1]? 328 1233 81000 3361.97 7421.701 When received amount (Amount 1) When received amount (Amount 1) When received amount (Amount 1) When received amount (Amount 1) When received amount (Amount 1) When did you receive this amount? Amount 1. List the 2 largest amounts, and the month/year when you received. 325 1236 15000 1568.135 2233.104 When received amount (Month 1) When received amount (Month 1) When received amount (Month 1) When received amount (Month 1) When received amount (Month 1) When did you receive this amount? Month 1. List the 2 largest amounts, and the month/year when you received. 324 1237 99 Don't Know When received amount (Year 1) When received amount (Year 1) When received amount (Year 1) When received amount (Year 1) When received amount (Year 1) When did you receive this amount? Year 1. List the 2 largest amounts, and the month/year when you received. 324 1237 99 Don't Know When received amount (Amount 2) When received amount (Amount 2) When received amount (Amount 2) When received amount (Amount 2) When received amount (Amount 2) When did you receive this amount? Amount 2. List the 2 largest amounts, and the month/year when you received. 130 1431 150 14000 1709.231 1967.936 When received amount (Month 2) When received amount (Month 2) When received amount (Month 2) When received amount (Month 2) When received amount (Month 2) When did you receive this amount? Month 2. List the 2 largest amounts, and the month/year when you received. 130 1431 99 Don't Know When received amount (Year 2) When received amount (Year 2) When received amount (Year 2) When received amount (Year 2) When received amount (Year 2) When did you receive this amount? Year 2. List the 2 largest amounts, and the month/year when you received. 130 1431 99 Don't Know When member has family problem will organ help by changing o When member has family problem will organ help by changing o When member has family problem will organ help by changing o When member has family problem will organ help by changing o When member has family problem will organ help by changing o When a member of the organization has a family problem, will the organization help by changing the order of payment? 328 1233 1 Yes 2 No 8 9 Sysmiss Will the organization help by changing the amount of paymen Will the organization help by changing the amount of paymen Will the organization help by changing the amount of paymen Will the organization help by changing the amount of paymen Will the organization help by changing the amount of paymen 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? 328 1233 1 Yes 2 No 8 9 Sysmiss Will organization help by collecting additional funds from o Will organization help by collecting additional funds from o Will organization help by collecting additional funds from o Will organization help by collecting additional funds from o Will organization help by collecting additional funds from o When a member of the organization has a family problem, will the organization help by collecting additional funds from other members? 328 1233 1 Yes 2 No 8 9 Sysmiss How many other informal savings organization participate in How many other informal savings organization participate in How many other informal savings organization participate in How many other informal savings organization participate in How many other informal savings organization participate in How many other informal savings organizations do you participate in? If answer is 0 > Go to 14 (trc14a - variable name in dataset). 328 1233 How much contributed to all since round 1 How much contributed to all since round 1 How much contributed to all since round 1 How much contributed to all since round 1 How much contributed to all since round 1 How much did you contribute to all of these other organizations since [round 1]? Amount in KSh. 49 1512 98 14800 3018.531 2904.249 How much received from all organizations since round 1 How much received from all organizations since round 1 How much received from all organizations since round 1 How much received from all organizations since round 1 How much received from all organizations since round 1 How much did you receive from all these other organizations since [round 1]? Amount in KSh. 49 1512 14800 2694.245 2890.672 Have bank saving account Have bank saving account Have bank saving account Have bank saving account Have bank saving account 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. 1561 Have bank checking account Have bank checking account Have bank checking account Have bank checking account Have bank checking account 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. 1561 Have other bank accounts Have other bank accounts Have other bank accounts Have other bank accounts Have other bank accounts 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. 1561 Other savings in home Other savings in home Other savings in home Other savings in home Other savings in home 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. 1561 The value of all accounts The value of all accounts The value of all accounts The value of all accounts The value of all accounts 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? 1561 Given any money to spouse since round 1 Given any money to spouse since round 1 Given any money to spouse since round 1 Given any money to spouse since round 1 Given any money to spouse since round 1 Since [round 1] have you given any money or goods to your spouse, on a regular or irregular basis? If answer is 2 > Go to 13 (trd13 - variable name in dataset). 1561 1 Yes 2 No 8 Given count Given count Given count Given count Given count 729 832 2 0.882 0.355 Given more money to .. since round 1 Given more money to .. since round 1 Given more money to .. since round 1 Given more money to .. since round 1 Given more money to .. since round 1 Apart from the money you give regularly, have you given any more money to [ID] since [round 1]? If answer is 2 > Go to 13 (trd13 - variable name in dataset). 733 828 1 Yes 2 No 8 Sysmiss Count of spouse Count of spouse Count of spouse Count of spouse Count of spouse 627 934 7 1.38 1.093 Received any money from spouse since round 1 Received any money from spouse since round 1 Received any money from spouse since round 1 Received any money from spouse since round 1 Received any money from spouse since round 1 Since [round 1] have you received any money or goods from your spouse, on a regular or irregular basis? If answer is 2 > End. 1561 1 Yes 2 No 8 Given count Given count Given count Given count Given count 732 829 8 0.884 0.433 Recieved more money to .. since round 1 Recieved more money to .. since round 1 Recieved more money to .. since round 1 Recieved more money to .. since round 1 Recieved more money to .. since round 1 Apart from the money you receive regularly, have you received any more money from [ID] since [round 1]? If answer is 2 > End. 733 828 1 Yes 2 No 8 Sysmiss Count of spouse Count of spouse Count of spouse Count of spouse Count of spouse 557 1004 6 1.478 1.176 Household ID Household ID Household ID Household ID Household ID 2434 103 99999 50692.182 28944.299 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 2434 1 2 3 4 5 6 7 8 9 10 Transfers & Credits Transfers & Credits Transfers & Credits Transfers & Credits Transfers & Credits 2434 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 2434 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 2434 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 2434 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 2434 R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview Date of Round 1 interview. Day. 2433 1 R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview Date of Round 1 interview. Month. 2433 1 R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview Date of Round 1 interview. Year. 2433 1 Line number Line number Line number Line number Line number Now I’d like to ask you about all transfers and loans you have received since [round 1]. Please tell me about each one separately. NOTE: if the same person gave several times, list EACH transfer from that person separately. 7 2427 Individual roster ID Individual roster ID Individual roster ID Individual roster ID Individual roster ID Individual Roster ID Copy IRID of from IRoster or add to IRoster if he/she is not yet listed. 2433 1 How much received from person How much received from person How much received from person How much received from person How much received from person How much did you receive from this person (include money and the value of gifts in kind)? 2434 10 300000 1506.626 7930.245 Month received the amount Month received the amount Month received the amount Month received the amount Month received the amount When did you receive this amount? Month. Year should be 2004. 2434 Year received the amount Year received the amount Year received the amount Year received the amount Year received the amount When did you receive this amount? Year. Year should be 2004. 2434 Main reason received money Main reason received money Main reason received money Main reason received money Main reason received money What was the main reason for receiving this money or goods? 2434 1 Wedding expenses 2 Loan repayment 3 Transportation 4 Subsistence needs 5 Purchase of durable goods 6 Investment 7 Funeral 8 Gift 9 No specific reason 10 Other (specify) Main reason received money (Other) Main reason received money (Other) Main reason received money (Other) Main reason received money (Other) Main reason received money (Other) What was the main reason for receiving this money or goods? Other (specify). 163 BEDDINGS BOND BUY CLOTH BUY MEDICINE CEREMONY EXPENSES CHILD SUPPORT CHRISTMAS SHOPING CHRISTMAS SHOPPING CIRCUMCISION CIRCUMCISION CEREMON CLOTHINGS COMPLETION OF HOUSE CONSTRUCTION WORK DOWERY DOWRY FOR HARVEST FOR MEDICATION FOR WATER PROJECT GROUP CONTRIBUTION HARVEST HARVESTING HARVESTING EXPENSES HEALTH EXPENSE HEALTH EXPENSES HOUSE MAINTAINANCE HOUSE RENT LOAN LOAN FOR FEES LOAN FOR HH MAINTANA LOAN FOR INVESTMENT LOAN FOR SCHOOL FEES LOAN FOR SHOPING LOAN FOR SUBSISTANCE LUNCH MEDICAL MEDICAL BILL MEDICAL CARE MEDICAL EXPENSE MEDICAL EXPENSES MEDICATION MEDICATION FOR ID 02 MEDICINE FOR ID 04 PLANTING PURCHASE FUNGICIDE RENOVATE HOUSE RENT REPAIR LORRY SCHOOL EXPENSES SCHOOL FEES SHOPING SUBSISTANCE NEEDS TO BUY MEDICINE ID10 TO BUY NAILS TO CONSTRUCT TOILET TO HARVEST MAIZE TO PAY HOUSE GIRL TO PAY MERRY GO ROUN TO PAY RENT TREATED COW WELL CONSTRUCTION Have to repay any part of the amount Have to repay any part of the amount Have to repay any part of the amount Have to repay any part of the amount Have to repay any part of the amount Do you have to repay any part of this amount? If answer is 2 > Go to next transfer. 2434 1 Yes 2 No 8 How much has been repaid How much has been repaid How much has been repaid How much has been repaid How much has been repaid How much has been already repaid? Amount (KSh). 365 2069 30000 1217.616 2855.222 How much expect to repay in future How much expect to repay in future How much expect to repay in future How much expect to repay in future How much expect to repay in future How much do you expect to repay in the future? Amount (KSh). 364 2070 200000 1876.464 11137.114 Household ID Household ID Household ID Household ID Household ID 226 426 99522 50976.584 28410.959 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 226 1 2 3 4 5 8 Transfers & Credits Transfers & Credits Transfers & Credits Transfers & Credits Transfers & Credits 226 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 226 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 226 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 226 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 226 R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview Date of Round 1 interview. Day. 226 R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview Date of Round 1 interview. Month. 226 R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview Date of Round 1 interview. Year. 226 Count Count Count Count Count 226 Name of organization Name of organization Name of organization Name of organization Name of organization What is the name of the organization? 226 1 Government 2 Clan 3 Other (specify) 4 Microfinance group (K-Rep, etc) 8 Name of organisation (other) Name of organisation (other) Name of organisation (other) Name of organisation (other) Name of organisation (other) What is the name of the organization? Other (specify). 199 How frequently received transfers How frequently received transfers How frequently received transfers How frequently received transfers How frequently received transfers How frequently did you receive these transfers since [round 1]? 226 1 once a week 2 every two weeks 3 once a month 4 every three months 5 every six months 6 once a year 7 less than once a year 8 Amount received each time Amount received each time Amount received each time Amount received each time Amount received each time What amount did you receive each time, on average? 226 70 700000 16253.354 67184.479 Household ID Household ID Household ID Household ID Household ID 1525 103 99999 49591.173 28964.097 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 1525 1 2 3 4 5 8 Transfers & Credits Transfers & Credits Transfers & Credits Transfers & Credits Transfers & Credits 1525 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 1525 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 1525 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 1525 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 1525 R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview Date of Round 1 interview. Day. 1525 R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview Date of Round 1 interview. Month. 1525 R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview Date of Round 1 interview. Year. 1525 Line number Line number Line number Line number Line number Now I’d like to ask you about all transfers and loans you have made since [round 1]. Please tell me about each one separately. NOTE: if the same person received several times, list EACH transfer to that person separately. 1 1524 Individual roster ID Individual roster ID Individual roster ID Individual roster ID Individual roster ID Individual Roster ID Copy IRID of [NAME] from IRoster or add [NAME] to IRoster if he/she is not yet listed. 1525 How much sent to person How much sent to person How much sent to person How much sent to person How much sent to person How much did you send to this person (include money and the value of gifts in kind)? 1525 10 200000 1260.118 5852.101 When send money - Month When send money - Month When send money - Month When send money - Month When send money - Month When did you send this amount? Month. Year should be 2004. 1525 When ssnd money - Year When ssnd money - Year When ssnd money - Year When ssnd money - Year When ssnd money - Year When did you send this amount? Year. Year should be 2004. 1525 Main reason send this money/goods Main reason send this money/goods Main reason send this money/goods Main reason send this money/goods Main reason send this money/goods What was the main reason for sending this money or goods? 1525 1 Wedding expenses 2 Loan repayment 3 Transportation 4 Subsistence needs 5 Purchase of durable goods 6 Investment 7 Funeral 8 Gift 9 No specific reason 10 Other (specify) Main reason send this money/goods (Other) Main reason send this money/goods (Other) Main reason send this money/goods (Other) Main reason send this money/goods (Other) Main reason send this money/goods (Other) What was the main reason for sending this money or goods? Other (specify). 105 Expect that any part of the money will be repaid Expect that any part of the money will be repaid Expect that any part of the money will be repaid Expect that any part of the money will be repaid Expect that any part of the money will be repaid Do you expect that any part of this amount will be repaid to you? If answer is 2 > Go to next transfer. 1525 1 Yes 2 No 8 How much has alread been repaid How much has alread been repaid How much has alread been repaid How much has alread been repaid How much has alread been repaid How much has been already repaid? Amount (KSh). 273 1252 50000 1116.886 3889.939 How much expect to be repaid in the future How much expect to be repaid in the future How much expect to be repaid in the future How much expect to be repaid in the future How much expect to be repaid in the future How much do you expect to be repaid in the future? Amount (KSh). 273 1252 200000 2272.399 12469.603 Household ID Household ID Household ID Household ID Household ID 643 103 99975 48186.902 29323.868 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 643 1 2 3 Transfers & Credits Transfers & Credits Transfers & Credits Transfers & Credits Transfers & Credits 643 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 643 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 643 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 643 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 643 R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview Date of Round 1 interview. Day. 642 1 R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview Date of Round 1 interview. Month. 642 1 R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview Date of Round 1 interview. Year. 642 1 ID code of spouse ID code of spouse ID code of spouse ID code of spouse ID code of spouse ID code of spouse 2 641 ID code of spouse ID code of spouse ID code of spouse ID code of spouse ID code of spouse ID code of spouse 643 Give money or goods regularly Give money or goods regularly Give money or goods regularly Give money or goods regularly Give money or goods regularly Do you give [ID] money or goods regularly? If answer is 2 > Go to 6 (trd06 - variable name in dataset). 643 1 Yes 2 No How much give - Amount How much give - Amount How much give - Amount How much give - Amount How much give - Amount How much do you give [ID] regularly? Amount. 375 268 10 8000 885.989 1313.43 How much give - Frequency How much give - Frequency How much give - Frequency How much give - Frequency How much give - Frequency How much do you give [ID] regularly? Frequency code. 375 268 1 once a week 2 every two weeks 3 once a month 4 every three months 5 every six months 6 once a year 7 less than once a year Sysmiss First reason for giving money First reason for giving money First reason for giving money First reason for giving money First reason for giving money What were the main reasons for giving this money to [ID]? List up to 3 reasons. 375 268 1 medical care 2 funeral expenses 3 school expenses 4 wedding expenses 5 transportation 6 household maintenance 7 subsistence needs 8 purchase of a durable good 9 investment 10 other (specify) Sysmiss Second reason for giving money Second reason for giving money Second reason for giving money Second reason for giving money Second reason for giving money What were the main reasons for giving this money to [ID]? List up to 3 reasons. 213 430 1 medical care 2 funeral expenses 3 school expenses 4 wedding expenses 5 transportation 6 household maintenance 7 subsistence needs 8 purchase of a durable good 9 investment 10 other (specify) Sysmiss Third reason for giving money Third reason for giving money Third reason for giving money Third reason for giving money Third reason for giving money What were the main reasons for giving this money to [ID]? List up to 3 reasons. 23 620 1 medical care 2 funeral expenses 3 school expenses 4 wedding expenses 5 transportation 6 household maintenance 7 subsistence needs 8 purchase of a durable good 9 investment 10 other (specify) Sysmiss Reason for giving money (Other) Reason for giving money (Other) Reason for giving money (Other) Reason for giving money (Other) Reason for giving money (Other) What were the main reasons for giving this money to [ID]? Other (specify). 10 Household ID Household ID Household ID Household ID Household ID 863 103 99975 48636.521 29152.427 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 863 1 2 3 Transfers & Credits Transfers & Credits Transfers & Credits Transfers & Credits Transfers & Credits 863 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 863 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 863 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 863 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 863 R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview Date of Round 1 interview. Day. 862 1 R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview Date of Round 1 interview. Month. 862 1 R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview Date of Round 1 interview. Year. 862 1 ID code of spouse ID code of spouse ID code of spouse ID code of spouse ID code of spouse ID code of spouse 2 861 ID code of spouse ID code of spouse ID code of spouse ID code of spouse ID code of spouse ID code of spouse 863 How much did you give How much did you give How much did you give How much did you give How much did you give How much did you give [ID]? 863 10 100000 2013.116 5909.192 When did give amount - Month When did give amount - Month When did give amount - Month When did give amount - Month When did give amount - Month When did you give this amount to [ID]? Month. * Year must be 2004. 863 When did give amount - Year When did give amount - Year When did give amount - Year When did give amount - Year When did give amount - Year When did you give this amount to [ID]? Year. * Year must be 2004. 863 Have to pay back any of this amount Have to pay back any of this amount Have to pay back any of this amount Have to pay back any of this amount Have to pay back any of this amount Does any of this amount have to be paid back? If answer is 2 > Go to 12 (trd12a - variable name in dataset). 863 1 Yes 2 No 8 How much more expect to pay back How much more expect to pay back How much more expect to pay back How much more expect to pay back How much more expect to pay back How much more do you expect [ID] to pay back? 27 836 75000 3530.593 14424.039 First reason why given money First reason why given money First reason why given money First reason why given money First reason why given money What were the main reasons for giving this money to [ID]? List up to 3 reasons. 863 1 medical care 2 funeral expenses 3 school expenses 4 wedding expenses 5 transportation 6 household maintenance 7 subsistence needs 8 purchase of a durable good 9 investment 10 other (specify) 98 99 Second reason why given money Second reason why given money Second reason why given money Second reason why given money Second reason why given money What were the main reasons for giving this money to [ID]? List up to 3 reasons. 150 713 1 medical care 2 funeral expenses 3 school expenses 4 wedding expenses 5 transportation 6 household maintenance 7 subsistence needs 8 purchase of a durable good 9 investment 10 other (specify) Sysmiss Third reason why given money Third reason why given money Third reason why given money Third reason why given money Third reason why given money What were the main reasons for giving this money to [ID]? List up to 3 reasons. 24 839 1 medical care 2 funeral expenses 3 school expenses 4 wedding expenses 5 transportation 6 household maintenance 7 subsistence needs 8 purchase of a durable good 9 investment 10 other (specify) Sysmiss Main reason why given money (Other) Main reason why given money (Other) Main reason why given money (Other) Main reason why given money (Other) Main reason why given money (Other) What were the main reasons for giving this money to [ID]? Other (specify). 104 Household ID Household ID Household ID Household ID Household ID 639 103 99975 49067.978 29475.889 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 639 1 2 3 4 7 8 9 Transfers & Credits Transfers & Credits Transfers & Credits Transfers & Credits Transfers & Credits 639 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 639 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 639 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 639 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 639 R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview Date of Round 1 interview. Day. 639 R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview Date of Round 1 interview. Month. 639 R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview Date of Round 1 interview. Year. 639 ID code of spouse ID code of spouse ID code of spouse ID code of spouse ID code of spouse ID code of spouse 2 637 ID code of spouse ID code of spouse ID code of spouse ID code of spouse ID code of spouse ID code of spouse 639 Recieve money or goods regularly Recieve money or goods regularly Recieve money or goods regularly Recieve money or goods regularly Recieve money or goods regularly Do you receive money or goods from [ID] regularly? 639 1 2 8 How much receive - Amount How much receive - Amount How much receive - Amount How much receive - Amount How much receive - Amount How much do you received from [ID] regularly? Amount. 316 323 50 10000 935.759 1272.007 How much recieve - Frequency How much recieve - Frequency How much recieve - Frequency How much recieve - Frequency How much recieve - Frequency How much do you received from [ID] regularly? Frequency code. 316 323 1 once a week 2 every two weeks 3 once a month 4 every three months 5 every six months 6 once a year 7 less than once a year 8 Sysmiss Main reason for receiving money Main reason for receiving money Main reason for receiving money Main reason for receiving money Main reason for receiving money What were the main reasons for receiving this money from [ID]? List up to 3 reasons. 316 323 1 medical care 2 funeral expenses 3 school expenses 4 wedding expenses 5 transportation 6 household maintenance 7 subsistence needs 8 purchase of a durable good 9 investment 10 other (specify) 98 Sysmiss Second reason for recieving money Second reason for recieving money Second reason for recieving money Second reason for recieving money Second reason for recieving money What were the main reasons for receiving this money from [ID]? List up to 3 reasons. 142 497 1 medical care 2 funeral expenses 3 school expenses 4 wedding expenses 5 transportation 6 household maintenance 7 subsistence needs 8 purchase of a durable good 9 investment 10 other (specify) Sysmiss Third reason for recieving money Third reason for recieving money Third reason for recieving money Third reason for recieving money Third reason for recieving money What were the main reasons for receiving this money from [ID]? List up to 3 reasons. 11 628 1 medical care 2 funeral expenses 3 school expenses 4 wedding expenses 5 transportation 6 household maintenance 7 subsistence needs 8 purchase of a durable good 9 investment 10 other (specify) Sysmiss Main reason for recieving money (Other) Main reason for recieving money (Other) Main reason for recieving money (Other) Main reason for recieving money (Other) Main reason for recieving money (Other) What were the main reasons for receiving this money from [ID]? Other (specify). 10 Household ID Household ID Household ID Household ID Household ID 823 103 99962 47925.225 29569.225 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 823 1 2 3 4 7 8 Transfers & Credits Transfers & Credits Transfers & Credits Transfers & Credits Transfers & Credits 823 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 823 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 823 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 823 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 823 R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview R1: Day of interview Date of Round 1 interview. Day. 823 R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview R1: Month of interview Date of Round 1 interview. Month. 823 R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview R1: Year of interview Date of Round 1 interview. Year. 823 Line number Line number Line number Line number Line number ID code of spouse 2 821 ID code of spouse ID code of spouse ID code of spouse ID code of spouse ID code of spouse ID code of spouse 823 How much did you receive How much did you receive How much did you receive How much did you receive How much did you receive How much did you receive from [ID]? 823 1 80000 1324.592 4110.931 When did receive amount - Month When did receive amount - Month When did receive amount - Month When did receive amount - Month When did receive amount - Month When did you receive this amount from [ID]? Month. * Year must be 2004. 823 When did receive amount - Year When did receive amount - Year When did receive amount - Year When did receive amount - Year When did receive amount - Year When did you receive this amount from [ID]? Year. * Year must be 2004. 823 Have to pay back any of this amount Have to pay back any of this amount Have to pay back any of this amount Have to pay back any of this amount Have to pay back any of this amount Does any of this amount have to be paid back? If answer is 2 > Go to 24 (trd24a - variable name in dataset). 823 1 Yes 2 No 8 How much more expect to pay back How much more expect to pay back How much more expect to pay back How much more expect to pay back How much more expect to pay back How much more do you expect to pay back? 31 792 10000 878.903 1968.207 Main reason why received money Main reason why received money Main reason why received money Main reason why received money Main reason why received money What were the main reasons for receiving this money from [ID]? List up to 3 reasons 823 1 medical care 2 funeral expenses 3 school expenses 4 wedding expenses 5 transportation 6 household maintenance 7 subsistence needs 8 purchase of a durable good 9 investment 10 other (specify) Second reason why received money Second reason why received money Second reason why received money Second reason why received money Second reason why received money What were the main reasons for receiving this money from [ID]? List up to 3 reasons 53 770 1 medical care 2 funeral expenses 3 school expenses 4 wedding expenses 5 transportation 6 household maintenance 7 subsistence needs 8 purchase of a durable good 9 investment 10 other (specify) Sysmiss Third reason why received money Third reason why received money Third reason why received money Third reason why received money Third reason why received money What were the main reasons for receiving this money from [ID]? List up to 3 reasons 3 820 1 medical care 2 funeral expenses 3 school expenses 4 wedding expenses 5 transportation 6 household maintenance 7 subsistence needs 8 purchase of a durable good 9 investment 10 other (specify) Sysmiss Main reason why received money (Other) Main reason why received money (Other) Main reason why received money (Other) Main reason why received money (Other) Main reason why received money (Other) What were the main reasons for receiving this money from [ID]? Other (specify). 62 Household ID Household ID Household ID Household ID Household ID 393 103 99975 49999.628 28769.932 Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 392 1 1 2 3 4 5 6 7 8 9 10 11 12 13 15 17 Sysmiss Youth Module Youth Module Youth Module Youth Module Youth Module 393 1 Yes 2 No Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID Respondent ID 392 1 Day of interview Day of interview Day of interview Day of interview Day of interview Date of Interview. Day. 393 Month of interview Month of interview Month of interview Month of interview Month of interview Date of Interview. Month. 393 Year of interview Year of interview Year of interview Year of interview Year of interview Date of Interview. Year. 393 1. Sex 1. Sex 1. Sex 1. Sex 1. Sex Sex of Respondent 393 1 Male 2 Female 2. Age 2. Age 2. Age 2. Age 2. Age What is your age? 387 6 16 98 23.543 11.622 3. Month of birth 3. Month of birth 3. Month of birth 3. Month of birth 3. Month of birth In what month and year were you born? Month. 393 99 Don’t Know 3. Year of birth 3. Year of birth 3. Year of birth 3. Year of birth 3. Year of birth In what month and year were you born? Year. 393 99 Don’t Know 4. Currently attending school 4. Currently attending school 4. Currently attending school 4. Currently attending school 4. Currently attending school Are you currently attending school? If answer is 2 > Go to 6 (y06 - variable name in dataset). 393 1 Yes 2 No 5. Expect to remain in school during 2005 5. Expect to remain in school during 2005 5. Expect to remain in school during 2005 5. Expect to remain in school during 2005 5. Expect to remain in school during 2005 Do you expect to remain in school during 2005? Go to 7 (y07 - variable name in dataset). 147 246 1 Yes 2 No 8 Sysmiss 6.Have attended school since round 1 6.Have attended school since round 1 6.Have attended school since round 1 6.Have attended school since round 1 6.Have attended school since round 1 Have you attended school since [round 1] (in 2004 if new youth)? If answer is 2 > Go to 8 (y08 - variable name in dataset). 247 146 1 Yes 2 No 8 Sysmiss 7. Days of school missed in past 3 months 7. Days of school missed in past 3 months 7. Days of school missed in past 3 months 7. Days of school missed in past 3 months 7. Days of school missed in past 3 months How many days of school did you miss in the past three months? Don't include holidays. 167 226 88 missed all of second term 8. Reasons why missed school 8. Reasons why missed school 8. Reasons why missed school 8. Reasons why missed school 8. Reasons why missed school What was the main reason why you missed school? 313 80 1 98 6.364 10.671 1 Own illness 2 Caring for a sick family member 3 Working 4 Insufficient funds 5 Fostered out 6 School was closed 7 Completed all my schooling 8 Other (specify) 8. Reasons why missed school (Other) 8. Reasons why missed school (Other) 8. Reasons why missed school (Other) 8. Reasons why missed school (Other) 8. Reasons why missed school (Other) What was the main reason why you missed school? Other (specify). 42 9. Highest level of schooling plan to complete 9. Highest level of schooling plan to complete 9. Highest level of schooling plan to complete 9. Highest level of schooling plan to complete 9. Highest level of schooling plan to complete What is the highest level of schooling you plan to complete? 392 1 1 Nursery 2 Primary 3 Secondary 4 Post-secondary 8 Sysmiss 10. Currently married or living with partner 10. Currently married or living with partner 10. Currently married or living with partner 10. Currently married or living with partner 10. Currently married or living with partner Are you currently married or living with a partner? * Probe if respondent says Yes or No. If answer is 1 or 2 > Go to 13 (y13 - variable name in dataset). 393 1 Yes – legally married 2 Yes – living with partner 3 No – spouse died 4 No – separated 5 No – never married 11. Currently engaged to be married 11. Currently engaged to be married 11. Currently engaged to be married 11. Currently engaged to be married 11. Currently engaged to be married Are you currently engaged to be married? If answer is 1 > Go to 13 (y13 - variable name in dataset). 367 26 1 Yes 2 No Sysmiss 12. Expect to get married in next 2 years 12. Expect to get married in next 2 years 12. Expect to get married in next 2 years 12. Expect to get married in next 2 years 12. Expect to get married in next 2 years Do you expect to get married in the next two years? 344 49 1 Yes 2 No 8 9 99 Don’t Know Sysmiss 13. Person who looks health have HIV virus 13. Person who looks health have HIV virus 13. Person who looks health have HIV virus 13. Person who looks health have HIV virus 13. 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? 393 1 Yes 2 No 9 99 Don’t Know 14. Know anyone who has died from AIDS 14. Know anyone who has died from AIDS 14. Know anyone who has died from AIDS 14. Know anyone who has died from AIDS 14. Know anyone who has died from AIDS Since [round 1], has anyone known to you personally died from AIDS? * Probe by asking about friends and relatives. If answer is 2 > Go to 16 (y16 - variable name in dataset). 393 1 Yes 2 No 15. Relationship to this person 15. Relationship to this person 15. Relationship to this person 15. Relationship to this person 15. Relationship to this person What was your relation to this person? * If there are multiple persons, ask about person who died more recently. 393 1 Household member 2 Relative in this Division 3 Relative elsewhere 4 Non-relative in this Division 5 Non-relative elsewhere Sysmiss 16. How many people have died from AIDS 16. How many people have died from AIDS 16. How many people have died from AIDS 16. How many people have died from AIDS 16. How many people have died from AIDS How many people (in total) known to you personally have died from AIDS? 391 2 98 5.266 11.664 17. Know anyone who received or receiveing treatment for AID 17. Know anyone who received or receiveing treatment for AID 17. Know anyone who received or receiveing treatment for AID 17. Know anyone who received or receiveing treatment for AID 17. Know anyone who received or receiveing treatment for AID Since [round 1], has anybody known to you personally begun to receive treatment for AIDS? *Probe by asking about household members, relatives, friends. If answer is 2 > Go to 20 (y20 - variable name in dataset). 393 1 Yes 2 No 8 18. Relationship to this person 18. Relationship to this person 18. Relationship to this person 18. Relationship to this person 18. Relationship to this person What was/is your relation to this person? If there are multiple persons, ask about closest relation. If answer is 2 > Go to 21 (y21- variable name in dataset). 393 1 Household member 2 Relative in this Division 3 Relative elsewhere 4 Non-relative in this Division 5 Non-relative elsewhere Sysmiss 19. What happened to person's health since receiving treatme 19. What happened to person's health since receiving treatme 19. What happened to person's health since receiving treatme 19. What happened to person's health since receiving treatme 19. What happened to person's health since receiving treatme What happened to this person's health since receiving treatment? 127 266 1 Recovered/Improved 2 Remained sick 3 Got more sick 4 Too early to tell 5 Died 8 99 Don’t Know Sysmiss 20. In Kosirai Division, treatment for HIV is easily availab 20. In Kosirai Division, treatment for HIV is easily availab 20. In Kosirai Division, treatment for HIV is easily availab 20. In Kosirai Division, treatment for HIV is easily availab 20. 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? 392 1 1 Easily available 2 Available, but not for everyone who needs it 3 Not available at all 9 99 Don’t know Sysmiss 21. Ever been tested for HIV 21. Ever been tested for HIV 21. Ever been tested for HIV 21. Ever been tested for HIV 21. Ever been tested for HIV Same youth: Since [round 1], have you been tested for HIV? New youth: Have you ever been tested for HIV? If answer is 2 > Go to 29 (y29 - variable name in dataset). 392 1 1 Yes 2 No Sysmiss 22. Month when tested for HIV 22. Month when tested for HIV 22. Month when tested for HIV 22. Month when tested for HIV 22. Month when tested for HIV When did you get tested for HIV? Month. *Record most recent testing date. 52 341 22. Year when tested for HIV 22. Year when tested for HIV 22. Year when tested for HIV 22. Year when tested for HIV 22. Year when tested for HIV When did you get tested for HIV? Year. *Record most recent testing date. 52 341 23. Where got tested 23. Where got tested 23. Where got tested 23. Where got tested 23. Where got tested Where did you get tested for HIV? 52 341 1 Mosoriot Health Center 2 Turbo Health Center 3 Burnt Forest Health Center 4 Eldoret 5 Kapsabet 6 Kisumu 7 Other (specify) 99 Don’t know Sysmiss 23. Where got tested (Other) 23. Where got tested (Other) 23. Where got tested (Other) 23. Where got tested (Other) 23. Where got tested (Other) Where did you get tested for HIV? Other (specify). 4 24. Most recent HIV test took place at a VCT 24. Most recent HIV test took place at a VCT 24. Most recent HIV test took place at a VCT 24. Most recent HIV test took place at a VCT 24. Most recent HIV test took place at a VCT Did your most recent HIV test take place at a VCT clinic, antenatal clinic, or elsewhere? If answer is 2 > Go to 26 (y26 - variable name in dataset). 52 341 1 VCT clinic 2 Antenatal clinic 3 Other (specify) 4 Won’t say Sysmiss 24. Most recent HIV test took place at a VCT (Other) 24. Most recent HIV test took place at a VCT (Other) 24. Most recent HIV test took place at a VCT (Other) 24. Most recent HIV test took place at a VCT (Other) 24. Most recent HIV test took place at a VCT (Other) Did your most recent HIV test take place at a VCT clinic, antenatal clinic, or elsewhere? Other (specify). 25. Main reason went for an HIV test 25. Main reason went for an HIV test 25. Main reason went for an HIV test 25. Main reason went for an HIV test 25. Main reason went for an HIV test 393 1 HIV-Positive 2 HIV-Negative 3 Won’t say 4 Have not received results yet Sysmiss 25. Main reason went for an HIV test (Other) 25. Main reason went for an HIV test (Other) 25. Main reason went for an HIV test (Other) 25. Main reason went for an HIV test (Other) 25. Main reason went for an HIV test (Other) 26. Result of HIV test 26. Result of HIV test 26. Result of HIV test 26. Result of HIV test 26. Result of HIV test What was the result of your HIV test? Emphasize confidentiality when asking this question. 393 1 HIV-Positive 2 HIV-Negative 3 Won’t say 4 Have not received results yet Sysmiss 27. Who informed about the status 27. Who informed about the status 27. Who informed about the status 27. Who informed about the status 27. Who informed about the status Who have you informed about your status? * list the 3 people that were informed first 393 1 Partner 2 Father 3 Mother 4 Sister/brother 5 Other relative in household 6 Other relative elsewhere 7 Friend 8 Other (specify) Sysmiss 27. Who informed about the status (Other) 27. Who informed about the status (Other) 27. Who informed about the status (Other) 27. Who informed about the status (Other) 27. Who informed about the status (Other) Who have you informed about your status? Other (specify). * list the 3 people that were informed first 27. Who informed about the status 27. Who informed about the status 27. Who informed about the status 27. Who informed about the status 27. Who informed about the status Who have you informed about your status? * list the 3 people that were informed first 393 1 Partner 2 Father 3 Mother 4 Sister/brother 5 Other relative in household 6 Other relative elsewhere 7 Friend 8 Other (specify) Sysmiss 27. Who informed about the status (Other) 27. Who informed about the status (Other) 27. Who informed about the status (Other) 27. Who informed about the status (Other) 27. Who informed about the status (Other) Who have you informed about your status? Other (specify). * list the 3 people that were informed first 27. Who informed about the status 27. Who informed about the status 27. Who informed about the status 27. Who informed about the status 27. Who informed about the status Who have you informed about your status? * list the 3 people that were informed first 393 1 Partner 2 Father 3 Mother 4 Sister/brother 5 Other relative in household 6 Other relative elsewhere 7 Friend 8 Other (specify) Sysmiss 27. Who informed about the status (Other) 27. Who informed about the status (Other) 27. Who informed about the status (Other) 27. Who informed about the status (Other) 27. Who informed about the status (Other) Who have you informed about your status? Other (specify). * list the 3 people that were informed first 28. Informed any other people about the status 28. Informed any other people about the status 28. Informed any other people about the status 28. Informed any other people about the status 28. Informed any other people about the status Have you informed any other people about your status? 393 1 Yes 2 No Sysmiss 29. Chances of geting HIV 29. Chances of geting HIV 29. Chances of geting HIV 29. Chances of geting HIV 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? 392 1 1 High 2 Moderate 3 Low 4 No risk at all 9 Sysmiss 30. Percent chance that currently have HIV 30. Percent chance that currently have HIV 30. Percent chance that currently have HIV 30. Percent chance that currently have HIV 30. Percent chance that currently have HIV What do you think is the percent chance (0 to 100) that you currently have HIV/AIDS? 392 1 100 17.686 28.596 31A. Age when first had sexual intercourse 31A. Age when first had sexual intercourse 31A. Age when first had sexual intercourse 31A. Age when first had sexual intercourse 31A. Age when first had sexual intercourse New youths only: 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). New youths only. 115 278 99 Never 31B. Total numbers of sexual partner have had 31B. Total numbers of sexual partner have had 31B. Total numbers of sexual partner have had 31B. Total numbers of sexual partner have had 31B. Total numbers of sexual partner have had All youths What is the total number of sexual partners that you have had? [Number of partners in lifetime] If answer is 0 > Go to 36 (y36 - variable name in dataset). 365 28 98 5.293 15.886 32A. Been sexual active in past 6 months 32A. Been sexual active in past 6 months 32A. Been sexual active in past 6 months 32A. Been sexual active in past 6 months 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). 321 72 1 Yes 2 No 8 Sysmiss 32B. How many different sexual partners in past 6 months 32B. How many different sexual partners in past 6 months 32B. How many different sexual partners in past 6 months 32B. How many different sexual partners in past 6 months 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] 160 233 1 98 1.838 7.677 33A. Last time had sex with main partner used condom 33A. Last time had sex with main partner used condom 33A. Last time had sex with main partner used condom 33A. Last time had sex with main partner used condom 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? 160 233 1 Yes 2 No 3 N/A 8 Sysmiss 33B. Last time had sex in casual encounter used condom 33B. Last time had sex in casual encounter used condom 33B. Last time had sex in casual encounter used condom 33B. Last time had sex in casual encounter used condom 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? 160 233 1 Yes 2 No 3 N/A 8 Sysmiss 34. How often use condoms when having sex 34. How often use condoms when having sex 34. How often use condoms when having sex 34. How often use condoms when having sex 34. How often use condoms when having sex How often do you use condoms when having sex? 323 70 1 Always 2 Almost Always 3 Very Seldom 4 Never 8 Sysmiss 35. Spouse/main partner has other sexual partners 35. Spouse/main partner has other sexual partners 35. Spouse/main partner has other sexual partners 35. Spouse/main partner has other sexual partners 35. Spouse/main partner has other sexual partners Do you think that your spouse or main partner has other sexual partners besides you? 323 70 1 Yes 2 No 3 N/A 8 9 Sysmiss 36. Have had any technical training 36. Have had any technical training 36. Have had any technical training 36. Have had any technical training 36. Have had any technical training Have you had any technical or professional training? 392 1 1 Technical 2 Professional 3 On-the-job 4 No 8 Sysmiss 37. Plan to receive additional technical training 37. Plan to receive additional technical training 37. Plan to receive additional technical training 37. Plan to receive additional technical training 37. Plan to receive additional technical training Do you plan to receive any additional technical or professional training in the next 1 year? 392 1 1 Yes 2 No 4 8 Sysmiss 38. Amount have spent on non-food items 38. Amount have spent on non-food items 38. Amount have spent on non-food items 38. Amount have spent on non-food items 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 392 1 60000 1983.194 3543 39. Have received financial assistance from friends in past 39. Have received financial assistance from friends in past 39. Have received financial assistance from friends in past 39. Have received financial assistance from friends in past 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). 392 1 1 Yes 2 No 8 Sysmiss 40. Value of all the assistance have receieved in past 6 mon 40. Value of all the assistance have receieved in past 6 mon 40. Value of all the assistance have receieved in past 6 mon 40. Value of all the assistance have receieved in past 6 mon 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? 202 191 50 10000 1067.455 1146.55 41. Main non-schooling activity during the past 6 months 41. Main non-schooling activity during the past 6 months 41. Main non-schooling activity during the past 6 months 41. Main non-schooling activity during the past 6 months 41. Main non-schooling activity during the past 6 months During the past 6 months, what has been you main nonschooling activity? * Read the choices to respondent. If answer is 4 > Go to 44 (y44 - variable name in dataset). 392 1 1 Farming 2 Wage/Salaried Employment 3 Non-farm Self-Employment 4 Unemployed/did not work 8 Sysmiss 42. During past month how much money earned for all the work 42. During past month how much money earned for all the work 42. During past month how much money earned for all the work 42. During past month how much money earned for all the work 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. 345 48 40000 1623.901 3439.092 43. How amount compare to what usually earned every month in 43. How amount compare to what usually earned every month in 43. How amount compare to what usually earned every month in 43. How amount compare to what usually earned every month in 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? 345 48 1 More 2 About the same 3 Less 8 Sysmiss 44. Expect to look for another job in next 6 montths 44. Expect to look for another job in next 6 montths 44. Expect to look for another job in next 6 montths 44. Expect to look for another job in next 6 montths 44. Expect to look for another job in next 6 montths Do you expect to look for another job in the next 6 months? 393 1 Yes 2 No 8