WELFARE MONITORING SURVEY 1992 KEN-KNBS-WMS-1992-v01. KENYA NATIONAL BUREAU OF STATISTICS

WORLD BANK

Kenya National Bureau of Statistics KNBS 2008-12-05 Nesstar Publisher Version 1.0(Dec2008) Welfare Monitoring Survey 1, 1992, First Round KEN-KNBS-WMS1-1992-v01. Kenya National Bureau of Statistics KENYA NATIONAL BUREAU OF STATISTICS (c) 2005 Kenya National Bureau of Statistics Nesstar Publisher WORLD BANK KENYA NATIONAL BUREAU OF STATISTICS Head, Data Processing Division Core Welfare Indicators Questionnaire [hh/cwiq] Welfare Monitoring Survey 1992, Round 1 (wms1) is the first round of WMS surveys, V1.2 WELFARE POVERTY WELFARE MONITORING AND EVALUATION Kenya Provinces, Districts and rural/urban ( Covering 44 Districts) HouseHolds All sampled Households Sample survey data [ssd] 1992 The NHWMES surveys will be based on the National Sample Survey and Evaluation Programme (NASSEP) Phase III. To monitor poverty and the distribution of its effects among different socio-economic groups in the economy, data should ideally be disaggregated to the community level. However, due to the cost implications and the size of population involved, the national household welfare monitoring and evaluation survey will disaggregate data only to the district level. Face-to-face [f2f] 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. Record Type 193.NSDstat The file contains data related to section 1 of the WMS questionnaire. It also contains the adult equivalent units in hh, and various recoded variables on sex and region. 0 36 Nesstar 200801 Kenya National Bureau of Statistics No consitency checks performed missing data was treated as blanks v1.0 Record type 293.NSDstat The file contains data related to section 2 of the WMS questionnaire. It also contains the Household Expenditure, adjusted weight for hhs ,adult equivalent units in hh, price deflators and various recoded variables on sex and region to be used in anaylsis. 0 126 Nesstar 200801 Kenya National Bureau of Statistics v1.0 Record Type 393.NSDstat The file contains data related to section 3 of the WMS questionnaire. It also contains the Household Income. 0 75 Nesstar 200801 Kenya National Bureau of Statistics v1.0 Record Type 493.NSDstat The file contains data related to section 4 of the WMS questionnaire. It also contains the Assets, Amenities and Land Utilization sections. Region, socio-economic grouping are included for analysis. 0 72 Nesstar 200801 Kenya National Bureau of Statistics v1.0 record # record NUMBER 0 0 cluster number cluster number 0 0 household # household number 0 0 rural or urban rural or urban 0 0 1 rural 2 urban old district code (not cleaned) old district code (not cleaned) 0 0 0 outliers 10 Nairobi 21 Kiambu 22 Kirinyanga 23 Murang-a 24 Nyandarua 25 Nyeri 31 Kilifi 32 Kwale 33 Lamu 34 Mombasa 35 Taita-Taveta 36 Tana River 41 Embu 42 Isiolo 43 Kitui 44 Machakos 45 Mausabit 46 Meru 47 Taraka 48 Makweni 51 Garissa 52 Mandera 53 Wajir 61 Kisii 62 Kisumu 63 Siaya 64 Homa Bay 65 Migori 66 Nyamira 71 Kajiado 72 Kericho 73 Laikipia 74 Nakuru 75 Nandi 76 Narok 77 Bomet 81 Baringo 82 Elgeyo Maraket 84 Trans-Nzoia 86 Uasin-Gishu 87 W Pokot 91 Bungoma 92 Busia 93 Kakamega 94 Khiga Serial number of household member Serial number of household member This has already been done for you. If there are more than ten household members, use a fresh questionnaire and start from Number 11 and continue to the last member. 0 0 Relationship to head RELATIONSHIP TO HEAD OF HOUSEHOLD The interviewer will ask the respondent about the relationship between the head and each of the listed members. As the interviewer fills in the column 'relationship', the column 'sex' should be filled in simultaneously. Codes for sex are 1=male and 2=female. The interviewer must also ask the sex of small children. Codes for relationship to head are given at the footnotes. 0 0 1 Head 2 Spouse 3 Child 4 Other relation 5 No relation Sex SEX As the interviewer fills in the column 'relationship', the column 'sex' should be filled in simultaneously. Codes for sex are 1=male and 2=female. The interviewer must also ask the sex of small children. Codes for relationship to head are given at the footnotes. 0 0 1 Male 2 Female Age AGE IN COMPLETED YEARS Age must be entered in completed years i.e. age as of his/her last birthday. Enter '00' for children below one year and '99' for age above 99 years. Age must be entered. 0 0 Marital status MARITAL STATUS For all adults over 15 years ask if they are married. If the answer is “yes”, ask whether the marriage is a monogamous or polygamous one. Select and enter the correct code as provided at the footnote. 0 0 1 Single 2 Married monogamous 3 Married poligamous 4 Divorced/separated 5 Widowed Economic status ECONOMIC STATUS 0 0 1 Export cropper 2 Cash cropper 3 Subsistance farmer 4 Pastoralist 5 Landless casual worker 6 Skiller public sector 7 Unskilled public sector 8 Formal private sector 9 Informal sector 10 Inactive or unemployed 11 Student 12 N/A Worked in last 7 days? WORKED IN THE LAST 7 DAYS Ask all members aged 15 years and over whether they have worked in the last 7 days. For those members who are below 15 years old enter code '0' for not applicable. 0 0 0 N/A 1 Yes 2 No Looked for work in last 7 days? LOOKED FOR WORK IN THE LAST 7 DAYS This question also applies only to members who are 15 years and above. Enquire whether the member has looked for work in the last 7 days. Insert '0' for those below 15 years old. 0 0 0 N/A 1 Yes 2 No Ever attended school? EVER ATTENDED SCHOOL Applicable only to household members aged 6 years and above. Ask whether the eligible members ever attended school. 0 0 0 N/A 1 Yes 2 No Currently at school? CURRENTLY ATTENDING SCHOOL Ask all the members aged 6 years and above whether they are attending school or not. Insert '0' for not applicable. 0 0 0 N/A 1 Yes 2 No Highest grade reached HIGHEST GRADE REACHED Ask all members aged 6 years and above the highest level of formal education each member has completed, e.g. for a school dropout after completing the second or first term of the academic year in standard five, the highest level attained is standard four. 0 0 0 N/A 1 Standard 1-4 2 Standard 5-8 3 Form 1-2 4 Form 3-4 5 Form 5-6 6 University 7 Pre-school 8 None Reason for not completing education cycle REASON FOR NOT COMPLETING EDUCATION CYCLE If a member of the household dropped out of school, find out the reason why. Note that someone who has completed an education cycle e.g. doing KCPE and does not continue to Form One has not dropped from school. If however someone stops schooling at Form Three, then he has dropped from school. 0 0 0 N/A 1 Pregnancy 2 Illness 3 Fees 4 Marriage 5 Failed exam 6 No interest 7 None Attended school last year? ATTENDED SCHOOL LAST-YEAR Enquire from those members aged 7 years and above whether they attended school last year. For those aged 6 years and below, enter '0' for not applicable. 0 0 0 N/A 1 Yes 2 No Able to read and write? LITERACY AND NUMERACY This question is only applicable to members aged 6 years and above. Ask whether the eligible members can read and write in any language. 0 0 0 N/A 1 Yes 2 No Sick in the past 2 weeks? BEEN SICK PAST 2 WEEKS & TYPE OF SICKNESS Some people may not want to declare that they or their children were sick. So, be careful in asking whether each member of the household was sick in the past 14 days. You may have to use phrases, as “were you unable to work on any day in the past 14 days?” If “yes” ask the type of sickness. Select the correct answer from the codes in the footnotes to the questionnaire. 0 0 0 N/A 1 Yes 2 No Type of sickness Type of sickness Some people may not want to declare that they or their children were sick. So, be careful in asking whether each member of the household was sick in the past 14 days. You may have to use phrases, as “were you unable to work on any day in the past 14 days?” If “yes” ask the type of sickness. Select the correct answer from the codes in the footnotes to the questionnaire. 0 0 0 N/A 1 Vomitting/diarrhoea 2 Fever/Malaria 3 Cough/cold 4 Wound or injury 5 Measles 6 Skin rash 7 Eye infection 8 Other Action taken when sick ACTION TAKEN Ask for the action which was taken if the respondent or any member was sick. Select the answer from codes in the footnote. 0 0 0 N/A 1 Visited health facility 2 Purchased drugs 3 Used traditional medecine 4 Consulted traditional healer 5 Consulted faith healer 6 Nothing Member of a cooperative group? Member of a cooperative group? Probe whether any household member is involved in group activities and enter 1=yes and 2=no. If the answer is “yes”, ask whether it is women group or not. For those who are group members, ask the type of activity the group is engaged in and insert the appropriate code from the footnote in col. 36. 0 0 0 N/A 1 Yes 2 No Member of a women's group FARMERS/WOMEN GROUP Probe whether any household member is involved in group activities and enter 1=yes and 2=no. If the answer is “yes”, ask whether it is women group or not. For those who are group members, ask the type of activity the group is engaged in and insert the appropriate code from the footnote in col. 36. 0 0 0 N/A 1 Yes 2 No Type of activity Type of activity 0 0 1 food crop farming 2 cash crop farming 3 trading 4 handicrafts 5 building & construction 6 small livestock 7 livestock 8 savings & credit 9 dancing 10 posho mill 11 poultry 12 tree nursery 14 N/A final adjusted weight for hhs to be used in anaylsis final adjusted weight for hhs to be used in anaylsis 0 0 household size household size 0 0 adult equivalent units in hh adult equivalent units in hh 0 0 Sex of Head of Household Sex of Head of Household 0 0 0 outliers 1 Male head of household 2 Female head of household urban v.s. rural urban v.s. rural 0 0 1 rural 2 urban 99 outlier socio-economic group socio-economic group 0 0 0 need to identify problem 1 Export farmer-male headed 2 Export farmer-female headed 3 Food crop farmer-male headed 4 Food crop farmer-female headed 5 Subsistence farmer-male headed 6 Subsistence farmer-female headed 7 Pastoralist 8 Public sector urban 9 Public sector rural 10 Formal sector urban 11 Formal sector rural 12 Informal sector urban 13 Informal sector rural 14 Income from other sources 66 Ag. hh, but outlier in sex of head 77 HH wage/self/no one in hh specifies sector type 99 HH = income sources in record 3 666 Wage/Self hh, but outlier in urban/rural 777 missing sexhead or headoccp 999 Wage/Self head not in sector 7777 HH wage/self missing record 1 (rt193.sys) 9999 HHs income=missing (incgroup=99) 99999 HHs do not have records in income data file (rt393.sys) 999999 HHs income=0 in income data file rt393.sys hhs with records 1-4 hhs with records 1-4 0 0 1 no missing records 2 missing 2 3 missing 2 & 3 4 missing 2 & 3 & 1 5 missing 2 & 4 & 1 6 missing 2 & 4 7 missing 2 & 3 & 4 8 missing 2 & 1 9 missing 3 10 missing 3 & 4 & 1 11 missing 3 & 4 12 missing 3 & 1 13 missing 1 14 missing 1 & 4 15 missing 4 99 did not slot into categories hhs to use in analysis (all records, weights, & SEG3) hhs to use in analysis (all records, weights, & SEG3) 0 0 0 drop hhs from analysis 1 keep hhs for analysis regional regional 0 0 0 outliers 1 Coast rural 2 Eastern rural 3 Central rural 4 Rift Valley rural 5 Nyanza rural 6 Western rural 7 Northeastern rural 8 Nairobi urban 9 Mombasa urban 10 Other urban Province Province 0 0 0 outliers 1 Coast 2 Eastern 3 Central 4 Rift Valley 5 Nyanza 6 Western 7 Northeastern 8 Nairobi district district 0 0 0 outliers 10 Nairobi 21 Kiambu 22 Kirinyanga 23 Murang-a 24 Nyandarua 25 Nyeri 31 Kilifi 32 Kwale, Taita-Taveta 33 Lamu, Tana River 34 Mombasa 41 Embu 42 Isiolo 43 Kitui 44 Machakos, Makweni 45 Mausabit 46 Meru, Taraka 51 Garissa 52 Mandera 53 Wajir 61 Kisii 62 Kisumu 63 Siaya 64 Homa Bay, Migori 66 Nyamira 71 Kajiado, Narok 72 Kericho, Bomet 73 Laikipia 74 Nakuru 75 Nandi 81 Baringo 82 Elgeyo Maraket 84 Trans-Nzoia, Uasin-Gishu 87 W Pokot 91 Bungoma 92 Busia 93 Kakamega, Khiga 99 Other main urban centers 999 Other small urban centers cluster number cluster number 0 0 household # household number 0 0 final adjusted weight for hhs to be used in anaylsis final adjusted weight for hhs to be used in anaylsis 0 0 adult equivalent units in hh adult equivalent units in hh 0 0 urban v.s. rural urban v.s. rural 0 0 1 rural 2 urban 99 outlier socio-economic group socio-economic group 0 0 0 need to identify problem 1 Export farmer-male headed 2 Export farmer-female headed 3 Food crop farmer-male headed 4 Food crop farmer-female headed 5 Subsistence farmer-male headed 6 Subsistence farmer-female headed 7 Pastoralist 8 Public sector urban 9 Public sector rural 10 Formal sector urban 11 Formal sector rural 12 Informal sector urban 13 Informal sector rural 14 Income from other sources 66 Ag. hh, but outlier in sex of head 77 HH wage/self/no one in hh specifies sector type 99 HH = income sources in record 3 666 Wage/Self hh, but outlier in urban/rural 777 missing sexhead or headoccp 999 Wage/Self head not in sector 7777 HH wage/self missing record 1 (rt193.sys) 9999 HHs income=missing (incgroup=99) 99999 HHs do not have records in income data file (rt393.sys) 999999 HHs income=0 in income data file rt393.sys hhs to use in analysis (all records, weights, & SEG3) hhs to use in analysis (all records, weights, & SEG3) 0 0 0 drop hhs from analysis 1 keep hhs for analysis regional regional 0 0 0 outliers 1 Coast rural 2 Eastern rural 3 Central rural 4 Rift Valley rural 5 Nyanza rural 6 Western rural 7 Northeastern rural 8 Nairobi urban 9 Mombasa urban 10 Other urban Province Province 0 0 0 outliers 1 Coast 2 Eastern 3 Central 4 Rift Valley 5 Nyanza 6 Western 7 Northeastern 8 Nairobi price deflators price deflators 0 0 district district 0 0 0 outliers 10 Nairobi 21 Kiambu 22 Kirinyanga 23 Murang-a 24 Nyandarua 25 Nyeri 31 Kilifi 32 Kwale, Taita-Taveta 33 Lamu, Tana River 34 Mombasa 41 Embu 42 Isiolo 43 Kitui 44 Machakos, Makweni 45 Mausabit 46 Meru, Taraka 51 Garissa 52 Mandera 53 Wajir 61 Kisii 62 Kisumu 63 Siaya 64 Homa Bay, Migori 66 Nyamira 71 Kajiado, Narok 72 Kericho, Bomet 73 Laikipia 74 Nakuru 75 Nandi 81 Baringo 82 Elgeyo Maraket 84 Trans-Nzoia, Uasin-Gishu 87 W Pokot 91 Bungoma 92 Busia 93 Kakamega, Khiga 99 Other main urban centers 999 Other small urban centers cons. of own foodcrops, livestock, & livestock products (ksh cons. of own foodcrops, livestock, & livestock products (ksh 0 0 record number 0 0 urban or rural cluster number 0 0 0 outliers 1 Rural 2 Urban old district codes (incorrect) old district code (not cleaned) 0 0 0 outliers 10 Nairobi 21 Kiambu 22 Kirinyanga 23 Murang-a 24 Nyandarua 25 Nyeri 31 Kilifi 32 Kwale 33 Lamu 34 Mombasa 35 Taita-Taveta 36 Tana River 41 Embu 42 Isiolo 43 Kitui 44 Machakos 45 Mausabit 46 Meru 47 Taraka 48 Makweni 51 Garissa 52 Mandera 53 Wajir 61 Kisii 62 Kisumu 63 Siaya 64 Homa Bay 65 Migori 66 Nyamira 71 Kajiado 72 Kericho 73 Laikipia 74 Nakuru 75 Nandi 76 Narok 77 Bomet 81 Baringo 82 Elgeyo Maraket 84 Trans-Nzoia 86 Uasin-Gishu 87 W Pokot 91 Bungoma 92 Busia 93 Kakamega 94 Khiga Maize bought last week Maize bought last week Ask the respondent the expenditure incurred when cereals and its products were bought last week and last month. Note that last week means the last seven days and last month means the last thirty days. Cereals include such food items as maize, millet, sorghum etc. Its products are maize flour, sorghum flour etc. Add and enter the totals in the space provided. Always start entering the figures from the right hand side to the left hand side and filling all blank spaces with zeroes. An example of how figures should be entered is demonstrated in SDA/391 (below). 0 0 Maize bought last month Maize bought last month Ask the respondent the expenditure incurred when cereals and its products were bought last week and last month. Note that last week means the last seven days and last month means the last thirty days. Cereals include such food items as maize, millet, sorghum etc. Its products are maize flour, sorghum flour etc. Add and enter the totals in the space provided. Always start entering the figures from the right hand side to the left hand side and filling all blank spaces with zeroes. An example of how figures should be entered is demonstrated in SDA/391 (below). 0 0 Cereal bought last week Cereal bought last week Ask the respondent the expenditure incurred when cereals and its products were bought last week and last month. Note that last week means the last seven days and last month means the last thirty days. Cereals include such food items as maize, millet, sorghum etc. Its products are maize flour, sorghum flour etc. Add and enter the totals in the space provided. Always start entering the figures from the right hand side to the left hand side and filling all blank spaces with zeroes. An example of how figures should be entered is demonstrated in SDA/391 (below). 0 0 Cereal bought last month Cereal bought last month Ask the respondent the expenditure incurred when cereals and its products were bought last week and last month. Note that last week means the last seven days and last month means the last thirty days. Cereals include such food items as maize, millet, sorghum etc. Its products are maize flour, sorghum flour etc. Add and enter the totals in the space provided. Always start entering the figures from the right hand side to the left hand side and filling all blank spaces with zeroes. An example of how figures should be entered is demonstrated in SDA/391 (below). 0 0 Vegatables bought last week Vegatables bought last week Expenditures on vegetables, fruits (including bananas) and pulses are to be filled in the space provided. Add the expenditures on vegetables, fruits and pulses and enter the total in the space provided. Pulses include such food items as green grams, beans etc. 0 0 Vegetables bought last month Vegetables bought last month Expenditures on vegetables, fruits (including bananas) and pulses are to be filled in the space provided. Add the expenditures on vegetables, fruits and pulses and enter the total in the space provided. Pulses include such food items as green grams, beans etc. 0 0 meat bought last week meat bought last week Ask the respondent how much was spent on meat, chicken and fish last week and last month and enter the totals in the spaces provided. 0 0 Meat bought last month Meat bought last month Ask the respondent how much was spent on meat, chicken and fish last week and last month and enter the totals in the spaces provided. 0 0 Dairy products bought last week Dairy products bought last week Expenditure on dairy products is to be entered in cols. 45-53 for last week and last month. Dairy products include milk, cheese, butter and ghee. 0 0 Dairy products bought last month Dairy products bought last month Expenditure on dairy products is to be entered in cols. 45-53 for last week and last month. Dairy products include milk, cheese, butter and ghee. 0 0 Sugar bought last week Sugar bought last week The total expenses on sugars should be entered in the space provided. Sugar includes sukari nguru and refined sugars. 0 0 Sugar bought last month Sugar bought last month The total expenses on sugars should be entered in the space provided. Sugar includes sukari nguru and refined sugars. 0 0 Oils and fats bought last month Oils and fats bought last month Expenses on oils and fats will be entered in cols 62-65 for last month only. These will include such items as Kimbo, Cowboy, Groundnut oil, Simsim oil etc. 0 0 Roots bought last month Roots bought last month These will include such food items as cassava, potatoes, yams etc. Enter the total expenditures on these items (for last month only) in the space provided. 0 0 Beverages bought last week Beverages bought last week Expenses on beverages and tobacco will be entered in cols. 70-77. Beverages include tea, coffee, alcohol, soft drinks etc. Tobacco includes cigarettes, snuff, pipe tobacco etc. 0 0 Beverages bought last month Beverages bought last month Expenses on beverages and tobacco will be entered in cols. 70-77. Beverages include tea, coffee, alcohol, soft drinks etc. Tobacco includes cigarettes, snuff, pipe tobacco etc. 0 0 Cooking fuel bought last month Cooking fuel bought last month Expenditure on cooking fuel is to be entered in cols. 78-81. Examples of cooking fuel are paraffin, gas, firewood and charcoal. Electricity will be covered under 'Utilities' (see 2.12 below) and should not be included here. 0 0 Other food bought last week Other food bought last week Probe for expenses on other foodstuffs not included in the above list e.g. eggs, groundnuts, simsim, coconut etc (excluding oils which are covered in columns 62-65) and enter the totals in the space provided. 0 0 Other food bought last month Other food bought last month Probe for expenses on other foodstuffs not included in the above list e.g. eggs, groundnuts, simsim, coconut etc (excluding oils which are covered in columns 62-65) and enter the totals in the space provided. 0 0 School fees (last year) School fees (last year) For the purpose of this survey, basic education will be from pre-primary to Standard Eight. Higher Education will be from Form 1 to Form 4, post-primary and post-secondary training e.g. polytechnics. Enter expenses on the items listed for both basic and higher education for the last year in the spaces provided. Include items such as pencils, pens, geometrical sets etc. The expenses will be on items purchased this year (1992). 0 0 Uniforms (last year) Uniforms (last year) For the purpose of this survey, basic education will be from pre-primary to Standard Eight. Higher Education will be from Form 1 to Form 4, post-primary and post-secondary training e.g. polytechnics. Enter expenses on the items listed for both basic and higher education for the last year in the spaces provided. Include items such as pencils, pens, geometrical sets etc. The expenses will be on items purchased this year (1992). 0 0 School books (last year) School books (last year) For the purpose of this survey, basic education will be from pre-primary to Standard Eight. Higher Education will be from Form 1 to Form 4, post-primary and post-secondary training e.g. polytechnics. Enter expenses on the items listed for both basic and higher education for the last year in the spaces provided. Include items such as pencils, pens, geometrical sets etc. The expenses will be on items purchased this year (1992). 0 0 Harambee contributions for basic education last year Harambee contributions for basic education last year For the purpose of this survey, basic education will be from pre-primary to Standard Eight. Higher Education will be from Form 1 to Form 4, post-primary and post-secondary training e.g. polytechnics. Enter expenses on the items listed for both basic and higher education for the last year in the spaces provided. Include items such as pencils, pens, geometrical sets etc. The expenses will be on items purchased this year (1992). 0 0 Higher education fees (last year) Higher education fees (last year) For the purpose of this survey, basic education will be from pre-primary to Standard Eight. Higher Education will be from Form 1 to Form 4, post-primary and post-secondary training e.g. polytechnics. Enter expenses on the items listed for both basic and higher education for the last year in the spaces provided. Include items such as pencils, pens, geometrical sets etc. The expenses will be on items purchased this year (1992). 0 0 Uniforms for higher educatin (last year) Uniforms for higher educatin (last year) For the purpose of this survey, basic education will be from pre-primary to Standard Eight. Higher Education will be from Form 1 to Form 4, post-primary and post-secondary training e.g. polytechnics. Enter expenses on the items listed for both basic and higher education for the last year in the spaces provided. Include items such as pencils, pens, geometrical sets etc. The expenses will be on items purchased this year (1992). 0 0 Books for higher education (last year) Books for higher education (last year) For the purpose of this survey, basic education will be from pre-primary to Standard Eight. Higher Education will be from Form 1 to Form 4, post-primary and post-secondary training e.g. polytechnics. Enter expenses on the items listed for both basic and higher education for the last year in the spaces provided. Include items such as pencils, pens, geometrical sets etc. The expenses will be on items purchased this year (1992). 0 0 Harambee contributions for higher education last year Harambee contributions for higher education last year For the purpose of this survey, basic education will be from pre-primary to Standard Eight. Higher Education will be from Form 1 to Form 4, post-primary and post-secondary training e.g. polytechnics. Enter expenses on the items listed for both basic and higher education for the last year in the spaces provided. Include items such as pencils, pens, geometrical sets etc. The expenses will be on items purchased this year (1992). 0 0 Expenditure on utilities last month Expenditure on utilities last month Expenditure on utilities such as water, electricity, telephone, should be entered in the space provided for last month. 0 0 expenditure on insurance last year expenditure on insurance last year This includes expenses for all kinds of insurance e.g. life, property, vehicles etc. 0 0 Expendutirue on non durables last month Expendutirue on non durables last month Examples of non-durables include matches, soap, cleaning materials, wicks, shoe polish, insecticides, toilet paper etc. 0 0 Salaries paid out last month Salaries paid out last month Enquire from the respondent whether there is an employed person in the household. Ask how much he or she earns monthly. 0 0 household durables last year household durables last year If durables (e.g. fridge, furniture, car) were bought in the house, ask how much was spent on them last year, i.e. 1992 0 0 Rent last month Rent last month Where the household is paying rent, enter that amount. In urban areas where the household is not paying rent but owns the house, impute the market rental value for the particular structure. This is to be done by asking the head of the household how much they would pay if they were renting the house. Indicate in the footnote that this is an imputed value. 0 0 Transfers out last year Transfers out last year Transfer here means gifts by the household to others. These are non-refundable receipts e.g. as gifts, both in cash and kind. Transfers in kind should be valued in local prices i.e. how much the items received would cost in local markets. 0 0 Transport last month Transport last month Under this item include bicycles and vehicle repairs, fares, vehicle running costs (fuel, oil, maintenance). 0 0 Harambee contributions (non-education) last year Harambee contributions (non-education) last year These are harambee expenditures for all other purposes except education e.g. for dips, water projects, health centres etc. 0 0 expenditure on clothing last month expenditure on clothing last month Expenses on clothing and footwear will exclude uniforms since this has been captured in basic and higher education. 0 0 Recreation last week Recreation last week Expenditures on recreation and entertainment include such activities as attending nightclubs, cinemas, playing golf, attending football matches etc. Note that money spent in buying alcohol is included in 'beverages' and should not therefore be included here. 0 0 health and medical expenses last month health and medical expenses last month For example, doctors fees, prescriptions, herbs etc. 0 0 Health and medical expenses last year Health and medical expenses last year For example, doctors fees, prescriptions, herbs etc. 0 0 Other household expenses last month Area under other export crops now The total number of acres under cotton should be entered in the stated columns. This should apply for now and 12 months ago. 0 0 Expenses on cash crops last season sales of cash crops last month 0 0 Expenses on cash crops last year sales of cash crops last year 0 0 Expenses on food crops last season Expenses on food crops last season These are expenditures on agricultural and livestock production. Agricultural production costs will include inputs such as fertilizer, manure, seeds, hire of tractors etc. Do not include the cost of holding. This will be accounted for in the next question. Livestock production costs will include feeds, veterinary fees, dipping etc. 0 0 Expenses on food crops last year Expenses on food crops last year These are expenditures on agricultural and livestock production. Agricultural production costs will include inputs such as fertilizer, manure, seeds, hire of tractors etc. Do not include the cost of holding. This will be accounted for in the next question. Livestock production costs will include feeds, veterinary fees, dipping etc. 0 0 Land purchases or leases last month Land purchases or leases last month These include expenses on land purchase or lease of land last month and last year. 0 0 Land purchases or leases last year Land purchases or leases last year These include expenses on land purchase or lease of land last month and last year. 0 0 Other non-household expenses last year Area under other export crops 12 months ago Enter the number of acres under other export crops not enumerated already e.g. pyrethrum. 0 0 expenditure on food last month expenditure on food last month 0 0 expenditure on food last week expenditure on food last week 0 0 annual food expenditure (based on monthly reference period) annual food expenditure (based on monthly reference period) 0 0 annual food expenditure (based on weekly reference period) annual food expenditure (based on weekly reference period) 0 0 expenditure on basic education last year expenditure on basic education last year 0 0 expenditure on higher educationlast year expenditure on higher educationlast year 0 0 expenditure on agriculture and nonagriculture enterprises last year expenditure on agriculture and nonagriculture enterprises last year 0 0 non-food expenditures last year (excluding education & healt non-food expenditures last year (excluding education & healt 0 0 annual expenditure by household (excluding own consumption) annual expenditure by household (excluding own consumption) 0 0 counting variable for hhs 0 0 record # 0 0 non-food expenditures last year (excluding education & health) 0 0 non-food expenditures last year (including education & health) 0 0 non-consumption expenditures last year (transfers, insurance, etc) 0 0 expend., including own cons (ksh/yr) 0 0 expend., including owncons per aeu (ksh/yr) 0 0 market food expenditure per % of total 0 0 basic education expenditure per % of total 0 0 higher education expenditure per % of total 0 0 health expenditure per % of total 0 0 nonconsumption expend. per % of total 0 0 own produced consumption per % of total 0 0 non-food expenditure per % of total 0 0 check should =100 0 0 food expenditure per aeu (ksh/yr) 0 0 basic education expenditure per aeu (ksh/yr) 0 0 higher education expenditure per aeu (ksh/yr) 0 0 health expenditure per aeu (ksh/yr) 0 0 nonconsumption expend. per aeu (ksh/yr) 0 0 own consumption per aeu (ksh/yr) 0 0 non-food expenditure per aeu (ksh/yr) 0 0 expenditure on food, including own consumption (ksh/yr) 0 0 expenditure on food per aeu, including own cons. (ksh/yr) 0 0 expenditure on maize (ksh/yr) 0 0 expenditure per aeu on maize (ksh/yr) 0 0 share of expenditure on maize (% of total food) 0 0 expenditure on own produced consumption per aeu (ksh/yr) 0 0 share of expenditure on own produced consumption (% total food) 0 0 expenditure on cereal (ksh/yr) 0 0 expenditure per aeu on cereal (ksh/yr) 0 0 share of expenditure on cereal (% of total food) 0 0 expenditure on vegetables (ksh/yr) 0 0 expenditure per aeu on vegetables (ksh/yr) 0 0 share of expenditure on vegetables (% of total food) 0 0 expenditure on meat (ksh/yr) 0 0 expenditure per aeu on meat (ksh/yr) 0 0 share of expenditure on meat (% of total food) 0 0 expenditure on diary (ksh/yr) 0 0 expenditure per aeu on diary (ksh/yr) 0 0 share of expenditure on diary (% of total food) 0 0 expenditure on sugar (ksh/yr) 0 0 expenditure per aeu on sugar (ksh/yr) 0 0 share of expenditure on sugar (% of total food) 0 0 expenditure on oil and fats (ksh/yr) 0 0 expenditure per aeu on oil and fats (ksh/yr) 0 0 share of expenditure on oil and fats (% of total food) 0 0 expenditure on roots (ksh/yr) 0 0 expenditure per aeu on roots (ksh/yr) 0 0 share of expenditure on roots (% of total food) 0 0 expenditure on other foods (ksh/yr) 0 0 expenditure per aeu on other foods (ksh/yr) 0 0 share of expenditure on other foods (% of total food) 0 0 should =100, sum of food shares 0 0 cluster number cluster number 0 0 household # household number 0 0 final adjusted weight for hhs to be used in anaylsis final adjusted weight for hhs to be used in anaylsis 0 0 adult equivalent units in hh adult equivalent units in hh 0 0 urban v.s. rural urban v.s. rural 0 0 1 rural 2 urban 99 outlier socio-economic group socio-economic group 0 0 0 need to identify problem 1 Export farmer-male headed 2 Export farmer-female headed 3 Food crop farmer-male headed 4 Food crop farmer-female headed 5 Subsistence farmer-male headed 6 Subsistence farmer-female headed 7 Pastoralist 8 Public sector urban 9 Public sector rural 10 Formal sector urban 11 Formal sector rural 12 Informal sector urban 13 Informal sector rural 14 Income from other sources 66 Ag. hh, but outlier in sex of head 77 HH wage/self/no one in hh specifies sector type 99 HH = income sources in record 3 666 Wage/Self hh, but outlier in urban/rural 777 missing sexhead or headoccp 999 Wage/Self head not in sector 7777 HH wage/self missing record 1 (rt193.sys) 9999 HHs income=missing (incgroup=99) 99999 HHs do not have records in income data file (rt393.sys) 999999 HHs income=0 in income data file rt393.sys hhs to use in analysis (all records, weights, & SEG3) hhs to use in analysis (all records, weights, & SEG3) 0 0 0 drop hhs from analysis 1 keep hhs for analysis regional regional 0 0 0 outliers 1 Coast rural 2 Eastern rural 3 Central rural 4 Rift Valley rural 5 Nyanza rural 6 Western rural 7 Northeastern rural 8 Nairobi urban 9 Mombasa urban 10 Other urban Province Province 0 0 0 outliers 1 Coast 2 Eastern 3 Central 4 Rift Valley 5 Nyanza 6 Western 7 Northeastern 8 Nairobi price deflators price deflators 0 0 district district 0 0 0 outliers 10 Nairobi 21 Kiambu 22 Kirinyanga 23 Murang-a 24 Nyandarua 25 Nyeri 31 Kilifi 32 Kwale, Taita-Taveta 33 Lamu, Tana River 34 Mombasa 41 Embu 42 Isiolo 43 Kitui 44 Machakos, Makweni 45 Mausabit 46 Meru, Taraka 51 Garissa 52 Mandera 53 Wajir 61 Kisii 62 Kisumu 63 Siaya 64 Homa Bay, Migori 66 Nyamira 71 Kajiado, Narok 72 Kericho, Bomet 73 Laikipia 74 Nakuru 75 Nandi 81 Baringo 82 Elgeyo Maraket 84 Trans-Nzoia, Uasin-Gishu 87 W Pokot 91 Bungoma 92 Busia 93 Kakamega, Khiga 99 Other main urban centers 999 Other small urban centers record type number 0 0 cluster type (rual vs urban) cluster number 0 0 district old district code (not cleaned) 0 0 0 outliers 10 Nairobi 21 Kiambu 22 Kirinyanga 23 Murang-a 24 Nyandarua 25 Nyeri 31 Kilifi 32 Kwale 33 Lamu 34 Mombasa 35 Taita-Taveta 36 Tana River 41 Embu 42 Isiolo 43 Kitui 44 Machakos 45 Mausabit 46 Meru 47 Taraka 48 Makweni 51 Garissa 52 Mandera 53 Wajir 61 Kisii 62 Kisumu 63 Siaya 64 Homa Bay 65 Migori 66 Nyamira 71 Kajiado 72 Kericho 73 Laikipia 74 Nakuru 75 Nandi 76 Narok 77 Bomet 81 Baringo 82 Elgeyo Maraket 84 Trans-Nzoia 86 Uasin-Gishu 87 W Pokot 91 Bungoma 92 Busia 93 Kakamega 94 Khiga livestock sales from own production last month livestock sales from own production last month 0 0 livestock sales form own production last year livestock sales form own production last year 0 0 value of own livestock consumed last month value of own livestock consumed last month If any livestock was slaughtered and consumed in the household ask the respondent how much it would have cost if it were to be sold. This should be done for all the livestock consumed in the household. 0 0 Value of own livestock consumed last year Value of own livestock consumed last year If any livestock was slaughtered and consumed in the household ask the respondent how much it would have cost if it were to be sold. This should be done for all the livestock consumed in the household. 0 0 Value of livestock products sold/consumed last week Value of livestock products sold/consumed last week Ask the respondent the total amount received from the sale of livestock products last week and last month and enter the total amounts in the specified spaces. Livestock products will include milk, cheese, eggs, hides and skins of cows, sheep, goats etc 0 0 Value of livestock products sold/consumed last month Value of livestock products sold/consumed last month Ask the respondent the total amount received from the sale of livestock products last week and last month and enter the total amounts in the specified spaces. Livestock products will include milk, cheese, eggs, hides and skins of cows, sheep, goats etc 0 0 Wages received last month Wages received last month Income received from wage/salaried employment is to be entered in cols. 42-46. This category covers all those in regular employment e.g. teachers, nurses, doctors, etc. This category should include payments to owner-occupiers which are included in salary payments. 0 0 Self employment earnings last month Self employment earnings last month For all those engaged in self-employment such as Jua-kali artisans, traders etc, enter the total income from the sale of products in the space provided for last month. This must be profits (income less expenditure) and not turnover. 0 0 Cash transfers last year Cash transfers last year Ask if any money or gift in kind was received from a relative/friend elsewhere last year. Add all such money and enter the total in the space provided. Transfers also include pensions. Any transfer in kind should be valued at local market prices. 0 0 Money borrowed last year Money borrowed last year Ask the respondents how much money they borrowed last year. 0 0 Rent received last month Rent received last month All receipts from rents should be entered in the space provided. This will include rents from houses, land etc. Note that if the respondent is staying in his own house and is being paid as owner-occupier, this should also be considered as a part income. 0 0 Other income received last year Other income received last year 0 0 Unit for crop 1 - long season Unit for crop 1 - long season 0 0 unit price for crop 1 - long season unit price for crop 1 - long season 0 0 units of crop 1 sold - long season units of crop 1 sold - long season 0 0 units of crop 1 consumed - long season units of crop 1 consumed - long season 0 0 units of crop 1 in stock - long season units of crop 1 in stock - long season 0 0 Unit for crop 2 - long season Unit for crop 2 - long season 0 0 unit price for crop 2 - long season unit price for crop 2 - long season 0 0 units of crop 2 sold - long season units of crop 2 sold - long season 0 0 units of crop 2 consumed - long season units of crop 2 consumed - long season 0 0 units of crop 2 in stock - long season units of crop 2 in stock - long season 0 0 Unit for crop 3 - long season Unit for crop 3 - long season 0 0 unit price for crop 3 - long season unit price for crop 3 - long season 0 0 units of crop 3 sold - long season units of crop 3 sold - long season 0 0 units of crop 3 consumed - long season units of crop 3 consumed - long season 0 0 units of crop 3 in stock - long season units of crop 3 in stock - long season 0 0 Unit for crop 4 - long season Unit for crop 4 - long season 0 0 unit price for crop 4 - long season unit price for crop 4 - long season 0 0 units of crop 4 sold - long season units of crop 4 sold - long season 0 0 units of crop 4 consumed - long season units of crop 4 consumed - long season 0 0 units of crop 4 in stock - long season units of crop 4 in stock - long season 0 0 Unit for crop 1 - short season Unit for crop 1 - short season 0 0 unit price for crop 1 - short season unit price for crop 1 - short season 0 0 units of crop 1 sold - short season units of crop 1 sold - short season 0 0 units of crop 1 consumed - short season units of crop 1 consumed - short season 0 0 units of crop 1 in stock - short season units of crop 1 in stock - short season 0 0 Unit for crop 2 - short season Unit for crop 2 - short season 0 0 unit price for crop 2 - short season unit price for crop 2 - short season 0 0 units of crop 2 sold - short season units of crop 2 sold - short season 0 0 units of crop 2 consumed - short season units of crop 2 consumed - short season 0 0 units of crop 2 in stock - short season units of crop 2 in stock - short season 0 0 Unit for crop 3 - short season Unit for crop 3 - short season 0 0 unit price for crop 3 - short season unit price for crop 3 - short season 0 0 units of crop 3 sold - short season units of crop 3 sold - short season 0 0 units of crop 3 consumed - short season units of crop 3 consumed - short season 0 0 units of crop 3 in stock - short season units of crop 3 in stock - short season 0 0 Unit for crop 4 - short season Unit for crop 4 - short season 0 0 unit price for crop 4 - short season unit price for crop 4 - short season 0 0 units of crop 4 sold - short season units of crop 4 sold - short season 0 0 units of crop 4 consumed - short season units of crop 4 consumed - short season 0 0 units of crop 4 in stock - short season units of crop 4 in stock - short season 0 0 sales of cash crops last month sales of cash crops last month 0 0 sales of cash crops last year sales of cash crops last year 0 0 main job of household head in last 12 months main job of household head in last 12 months This question should refer to both the head of the household and his/her spouse. Ask the respondent what his/her main job has been in the last 12 months. The codes are in the footnote. 0 0 1 farmers 2 pastoralist 3 reg. wage earner 4 casual employee 5 business trade 6 domestic work 7 student 8 none years spent by head in main job years spent by head in main job Ask the respondent how many years she/he has been on this job. This question also refers to both head of household and his/her spouse 0 0 type of industry type of industry Under which category of industry does the head of household and spouse's main job fall? Insert the appropriate code. 0 0 Employment status of head Employment status of head Ask the respondent and the spouse their employment status. The codes are in the footnote. 0 0 1 own 2 public sector 3 private sector 4 employer 5 unpaid family worker 6 other amount earned by head in main job amount earned by head in main job Total amount of money earned should be entered in the columns given. Do this for both head of household and his/her spouse. 0 0 time unit for head time unit for head The codes for time unit are listed below. This is the time unit of how the earned amount is paid. Is it paid daily, weekly, monthly or yearly? 0 0 change in income of head since last year change in income of head since last year How has income from this work changed compared with 12 months ago? Insert the appropriate code. 0 0 record number 0 0 cluster number cluster number 0 0 household number household number 0 0 cluster number cluster number 0 0 old district code (not cleaned) old district code (not cleaned) 0 0 0 outliers 10 Nairobi 21 Kiambu 22 Kirinyanga 23 Murang-a 24 Nyandarua 25 Nyeri 31 Kilifi 32 Kwale 33 Lamu 34 Mombasa 35 Taita-Taveta 36 Tana River 41 Embu 42 Isiolo 43 Kitui 44 Machakos 45 Mausabit 46 Meru 47 Taraka 48 Makweni 51 Garissa 52 Mandera 53 Wajir 61 Kisii 62 Kisumu 63 Siaya 64 Homa Bay 65 Migori 66 Nyamira 71 Kajiado 72 Kericho 73 Laikipia 74 Nakuru 75 Nandi 76 Narok 77 Bomet 81 Baringo 82 Elgeyo Maraket 84 Trans-Nzoia 86 Uasin-Gishu 87 W Pokot 91 Bungoma 92 Busia 93 Kakamega 94 Khiga Wall construction Wall construction This information can be entered without necessarily enquiring about it since the type of house will be noted by observation. The codes are given in the footnotes. Select and enter the correct answer. The main house need not be the best in the compound. It should be the house where most household activities such as eating take place. 0 0 1 mud 2 cemented 3 wood 4 others Floor construction Floor construction This information can be entered without necessarily enquiring about it since the type of house will be noted by observation. The codes are given in the footnotes. Select and enter the correct answer. The main house need not be the best in the compound. It should be the house where most household activities such as eating take place. 0 0 1 mud 2 cemented 3 wood 4 others Roofing Roofing This information can be entered without necessarily enquiring about it since the type of house will be noted by observation. The codes are given in the footnotes. Select and enter the correct answer. The main house need not be the best in the compound. It should be the house where most household activities such as eating take place. 0 0 1 iron sheets 2 cemented blocks 3 grass/makuti 4 tiles 5 mud 6 tinned 7 others Number of rooms Number of rooms This should refer to the number of rooms in the main house. Only rooms in which people live or sleep are considered as rooms, for the purposes of this survey. Stores, kitchens etc are not considered to be rooms even if they have windows. 0 0 Number of people sleeping in it Number of people sleeping in it This should apply to all the people sleeping in the main house. Ask how many people sleep in the house regardless of the rooms they sleep in. 0 0 Home ownership Home ownership Ask the respondent whether the home they stay in is rented, or it is their own or free or some other arrangement. Enter the right code. 0 0 1 owns 2 rents 3 free 4 other Main source of water now -wet season Main source of water now -wet season 0 0 0 others 1 river 2 lake/pond/dam 3 roof catchment 4 protected sprint 5 unprotected spring 6 protected well 7 unprotected well 8 borehole 9 piped water Main source of water now - dry season Main source of water now - dry season 0 0 0 others 1 river 2 lake/pond/dam 3 roof catchment 4 protected sprint 5 unprotected spring 6 protected well 7 unprotected well 8 borehole 9 piped water Main source of water 12 months ago - wet season Main source of water 12 months ago - wet season 0 0 0 others 1 river 2 lake/pond/dam 3 roof catchment 4 protected sprint 5 unprotected spring 6 protected well 7 unprotected well 8 borehole 9 piped water Main source of water 12 months ago - dry season Main source of water 12 months ago - dry season 0 0 0 others 1 river 2 lake/pond/dam 3 roof catchment 4 protected sprint 5 unprotected spring 6 protected well 7 unprotected well 8 borehole 9 piped water Distance to water now - wet season Distance to water now - wet season Ask for the distance during both wet and dry seasons. The codes are given in the footnote. If the same water source is used during both seasons, the distance will remain the same. This is asked for now and twelve months ago. 0 0 1 less than 1 km 2 1-2 km 3 3-4 km 4 5-8 km 5 9-12 km 6 => 12 km Distance to water now - dry season Distance to water now - dry season Ask for the distance during both wet and dry seasons. The codes are given in the footnote. If the same water source is used during both seasons, the distance will remain the same. This is asked for now and twelve months ago. 0 0 1 less than 1 km 2 1-2 km 3 3-4 km 4 5-8 km 5 9-12 km 6 => 12 km Distance to water 12 months ago - wet season Distance to water 12 months ago - wet season Ask for the distance during both wet and dry seasons. The codes are given in the footnote. If the same water source is used during both seasons, the distance will remain the same. This is asked for now and twelve months ago. 0 0 1 less than 1 km 2 1-2 km 3 3-4 km 4 5-8 km 5 9-12 km 6 => 12 km Distance to water 12 months ago - dry season Distance to water 12 months ago - dry season Ask for the distance during both wet and dry seasons. The codes are given in the footnote. If the same water source is used during both seasons, the distance will remain the same. This is asked for now and twelve months ago. 0 0 1 less than 1 km 2 1-2 km 3 3-4 km 4 5-8 km 5 9-12 km 6 => 12 km Main source of fuel now Main source of fuel now Ask the respondent the main source of cooking fuel used in the household now. The same question should also be asked for 12 months ago. 0 0 1 firewood collected 2 firewood purchased 3 charcoal 4 parafin 5 gas 6 electricity (mains) 7 electricity (generator, solar) 8 other Main source of fuel 12 months ago Main source of fuel 12 months ago Ask the respondent the main source of cooking fuel used in the household now. The same question should also be asked for 12 months ago. 0 0 1 firewood collected 2 firewood purchased 3 charcoal 4 parafin 5 gas 6 electricity (mains) 7 electricity (generator, solar) 8 other Main source of lighting now Main source of lighting now Main source of lighting fuel should be selected from among the categories enumerated at the footnote. Ask the question for both “now” and “12 months ago”. 0 0 1 firewood collected 2 firewood purchased 3 charcoal 4 parafin 5 gas 6 electricity (mains) 7 electricity (generator, solar) 8 other Main source of lighting 12 months ago Main source of lighting 12 months ago Main source of lighting fuel should be selected from among the categories enumerated at the footnote. Ask the question for both “now” and “12 months ago”. 0 0 1 firewood collected 2 firewood purchased 3 charcoal 4 parafin 5 gas 6 electricity (mains) 7 electricity (generator, solar) 8 other Type of toilet Type of toilet Ask the respondent the type of toilet the household uses. Insert the appropriate code. 0 0 1 pit 2 VIP latrine 3 bucket 4 W.C. 5 pour flash 6 none Total holding area now (acres) Total holding area now (acres) Ask for the total holding area the head of the household owns. This should be in acres. Note that there is one decimal place. This applies for now and 12 months ago. 0 0 Total holding area 12 months ago Total holding area 12 months ago Ask for the total holding area the head of the household owns. This should be in acres. Note that there is one decimal place. This applies for now and 12 months ago. 0 0 Area under maize (pure stand) now Area under maize (pure stand) now Ask the respondent how many acres are under maize (pure). This is for now. 0 0 Area under maize (pure stand) 12 months ago Area under maize (pure stand) 12 months ago Ask the respondent how many acres are under maize (pure). This is for 12 months ago. 0 0 Area under maize (mixed stand) now Area under maize (mixed stand) now Ask the respondent the number of acreage under maize (mixed). This means maize mixed with some other crops. It applies for both now and 12 months ago. 0 0 Area under maize (mixed stand) 12 months ago Area under maize (mixed stand) 12 months ago Ask the respondent the number of acreage under maize (mixed). This means maize mixed with some other crops. It applies for both now and 12 months ago. 0 0 Area under beans (pure stand) now Area under beans (pure stand) now 0 0 Area under beans (pure stand) 12 months ago Area under beans (pure stand) 12 months ago 0 0 Area under coffee now Area under coffee now Enter the total number of acres under coffee for now in the stated columns. 0 0 Area under coffee 12 months ago Area under coffee 12 months ago 0 0 Area under tea now Area under tea now 0 0 Area under tea 12 months ago Area under tea 12 months ago The total number of acres under tea should be entered in the space provided for now and twelve months ago. 0 0 Area under cotton now Area under cotton now The total number of acres under tea should be entered in the space provided for now and twelve months ago. 0 0 Area under cotton 12 months ago Area under cotton 12 months ago The total number of acres under cotton should be entered in the stated columns. This should apply for now and 12 months ago. 0 0 Area under other export crops now Area under other export crops now The total number of acres under cotton should be entered in the stated columns. This should apply for now and 12 months ago. 0 0 Area under other export crops 12 months ago Area under other export crops 12 months ago Enter the number of acres under other export crops not enumerated already e.g. pyrethrum. 0 0 Area under other food crops now Area under other food crops now Enter the number of acres under other export crops not enumerated already e.g. pyrethrum. 0 0 Area under other food crops 12 months ago Area under other food crops 12 months ago The number of acres under other food crops not enumerated already should be entered in the columns stated 0 0 Number of cattle owned now Number of cattle owned now Ask the respondent the number of cattle owned now and 12 months ago. Enter the number in the stated columns 0 0 Number of cattle owned 12 months ago Number of cattle owned 12 months ago Ask the respondent the number of cattle owned now and 12 months ago. Enter the number in the stated columns 0 0 Number of sheep and goats owned now Number of sheep and goats owned now The number of sheep and goats is to be entered in this column. 0 0 Number of sheep and goats owned 12 months ago Number of sheep and goats owned 12 months ago The number of sheep and goats is to be entered in this column. 0 0 Number of poultry Number of poultry The number of poultry i.e. chickens, ducks etc is to be entered in this column. 0 0 Number of other animals Number of other animals All the other animals not enumerated already such as camels, donkeys etc should be entered in this column. 0 0 Owns a motorcycle now? Owns a motorcycle now? 0 0 1 yes 2 no Owned a motorcycle 12 months ago? Owned a motorcycle 12 months ago? Ask this also for twelve months ago. Enter the appropriate code. 0 0 1 yes 2 no Owns a car now? Owns a car now? Ask the respondent whether he/she owns or owned a motor vehicle 12 months ago. Enter the appropriate code. 0 0 1 yes 2 no Owned a car 12 months ago Owned a car 12 months ago Ask the respondent whether he/she owns or owned a motor vehicle 12 months ago. Enter the appropriate code. 0 0 1 yes 2 no Owns a radio now? Owns a radio now? Radio ownership should be enquired from the respondent. Do this for now . 0 0 1 yes 2 no Owned a radio 12 months ago? Owned a radio 12 months ago? 0 0 1 yes 2 no Owns a TV now? Owns a TV now? Enquire whether the respondent owns a television set or not. Ask this for now . Enter the appropriate code. 0 0 1 yes 2 no Owned a TV 12 months ago? Owned a TV 12 months ago? Enquire whether the respondent owns a television set or not. Ask this for 12 months ago. Enter the appropriate code. 0 0 1 yes 2 no Owns a plough now? Owns a plough now? Ask the respondent whether he/she owns a plough. Enter the appropriate code. Ask this for now 0 0 1 yes 2 no Owned a plough 12 months ago? Owned a plough 12 months ago? 0 0 1 yes 2 no Owns a bicycle now? Owns a bicycle now? Enquire from the respondent whether he/she owns a bicycle. This should apply for now 0 0 1 yes 2 no Owned a bicycle 12 months ago? Owned a bicycle 12 months ago? 0 0 1 yes 2 no Owns a boat now? Owns a boat now? Ask the respondent whether he/she owns a canoe or a boat. This should be asked for now 0 0 1 yes 2 no Owned a boat 12 months ago Owned a boat 12 months ago Ask the respondent whether he/she owns a canoe or a boat. This should be asked for twelve months ago 0 0 1 yes 2 no final adjusted weight for hhs to be used in anaylsis final adjusted weight for hhs to be used in anaylsis 0 0 adult equivalent units in hh adult equivalent units in hh 0 0 urban v.s. rural urban v.s. rural 0 0 1 rural 2 urban 99 outlier socio-economic group socio-economic group 0 0 0 need to identify problem 1 Export farmer-male headed 2 Export farmer-female headed 3 Food crop farmer-male headed 4 Food crop farmer-female headed 5 Subsistence farmer-male headed 6 Subsistence farmer-female headed 7 Pastoralist 8 Public sector urban 9 Public sector rural 10 Formal sector urban 11 Formal sector rural 12 Informal sector urban 13 Informal sector rural 14 Income from other sources 66 Ag. hh, but outlier in sex of head 77 HH wage/self/no one in hh specifies sector type 99 HH = income sources in record 3 666 Wage/Self hh, but outlier in urban/rural 777 missing sexhead or headoccp 999 Wage/Self head not in sector 7777 HH wage/self missing record 1 (rt193.sys) 9999 HHs income=missing (incgroup=99) 99999 HHs do not have records in income data file (rt393.sys) 999999 HHs income=0 in income data file rt393.sys hhs with records 1-4 hhs with records 1-4 0 0 1 no missing records 2 missing 2 3 missing 2 & 3 4 missing 2 & 3 & 1 5 missing 2 & 4 & 1 6 missing 2 & 4 7 missing 2 & 3 & 4 8 missing 2 & 1 9 missing 3 10 missing 3 & 4 & 1 11 missing 3 & 4 12 missing 3 & 1 13 missing 1 14 missing 1 & 4 15 missing 4 99 did not slot into categories hhs to use in analysis (all records, weights, & SEG3) hhs to use in analysis (all records, weights, & SEG3) 0 0 0 drop hhs from analysis 1 keep hhs for analysis regional regional 0 0 0 outliers 1 Coast rural 2 Eastern rural 3 Central rural 4 Rift Valley rural 5 Nyanza rural 6 Western rural 7 Northeastern rural 8 Nairobi urban 9 Mombasa urban 10 Other urban Province Province 0 0 0 outliers 1 Coast 2 Eastern 3 Central 4 Rift Valley 5 Nyanza 6 Western 7 Northeastern 8 Nairobi price deflators price deflators 0 0 district district 0 0 0 outliers 10 Nairobi 21 Kiambu 22 Kirinyanga 23 Murang-a 24 Nyandarua 25 Nyeri 31 Kilifi 32 Kwale, Taita-Taveta 33 Lamu, Tana River 34 Mombasa 41 Embu 42 Isiolo 43 Kitui 44 Machakos, Makweni 45 Mausabit 46 Meru, Taraka 51 Garissa 52 Mandera 53 Wajir 61 Kisii 62 Kisumu 63 Siaya 64 Homa Bay, Migori 66 Nyamira 71 Kajiado, Narok 72 Kericho, Bomet 73 Laikipia 74 Nakuru 75 Nandi 81 Baringo 82 Elgeyo Maraket 84 Trans-Nzoia, Uasin-Gishu 87 W Pokot 91 Bungoma 92 Busia 93 Kakamega, Khiga 99 Other main urban centers 999 Other small urban centers