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