DDI_KEN_2006_GEHDS-W3_v01_EN_M_v01_A_OCS_FAO
Office of Chief Statistician
Akiko Sagesaka
Olivier Dupriez
<_value>
NADA
KEN_2006_GEHDS-W3_v01_EN_M_v01_A_OCS_v01
Greater Eldoret Health and Development Survey, Wave 3, 2006
GEHDS 2006
KEN_2006_GEHDS-W3_v01_EN_M_v01_A_OCS
Markus Goldstein and Harsha Thirumurthy
NADA
Development Economics Data Group
Other Household Survey [hh/oth]
This is the third round of the Greater Eldoret Health and Development Survey. The first round was conducted in 2005, and the second one in 2005. The data collected in the second round of the survey (as well as future rounds) provide the longitudinal information necessary for examining changes in socio-economic status resulting from treatment. Subsequent analysis will therefore address the topic of treatment impacts more extensively. Future work will also examine other diseases in the survey area as well.
Social Development
Children & Youth
Food (production, crisis)
Agriculture & Rural Development
Access to Finance
Health
Nutrition
Population & Reproductive Health
Labor
Information from these households thus presents an opportunity to understand the health and socio-economic characteristics of the population served by the Mosoriot health centre. The Mosoriot Rural Health Training Centre is located approximately 25 kilometers south of Eldoret town and is the main health care provider in Kosirai Division. The health centre provides primary care services and is mainly an outpatient facility. In addition, a collaboration between Indiana University and the Moi University Faculty of Health Sciences has established an electronic medical record system (MMRS) at Mosoriot which contains a range of clinical information on all patients who visit the health centre (Hannan, et al. 2000). In 2001, this same collaboration also created the Academic Model for the Prevention and Treatment of HIV/AIDS (AMPATH). AMPATH's first rural HIV clinic was opened in Mosoriot in November 2001 (Cohen, 2004). Beginning in late-2003, the HIV clinic at Mosoriot has experienced tremendous growth, with the number of patients rising from less than 100 in 2003 to over 800 as of October 2004 (AMPATH data).
Kenya
Regional
Households
Sample survey data [ssd]
The scope of the Greater Eldoret Health and Development Survey includes:
(a) HOUSEHOLD:
Current household members children residing elsewhere
Permanent individual roster
Education
Education expenditures
Health and health services use
Food consumption and expenditures
Other household expenses
Assets
Income and activities
Agricultural activities
Enterprises
Unexpected events
Transfers and credit
Time allocation
Knowledge and behaviour
Anthropometrics
Polygamous household identification
(b) YOUTH:
Background characteristics
Education
Marriage
Knowledge of HIV/AIDS
HIV testing
Sexual behaviour
Job training
Income and expenditures
(a) SURVEY AREA
The household survey was conducted in Kosirai Division, a rural area located in the Nandi North District of western Kenya. Kosirai division has an area of 195 square kilometers (76 square miles) and a population of 35,383 individuals and 6,643 households (Central Bureau of Statistics, 1999). The survey households are scattered across more than 100 villages where animal and crop farming are the primary economic activity. The survey's random sample of 512 households (described below) is intended to be representative of households in Kosirai Division. Information from these households thus presents an opportunity to understand the health and socio-economic characteristics of the population served by the Mosoriot health centre.
(b) SAMPLE SELECTION
A range of factors were considered when designing the sample of households in the survey. A random sample of households in Kosirai Division was created to provide representative information on the disease burden and socio-economic issues in the survey area. To further examine specific issues relating to HIV/AIDS (such as impacts of the disease and treatment), a separate sample of HIV-positive patients in AMPATH's HIV clinic was chosen. Finally, a small sample of VCT clients (who tested HIV-positive or HIV-negative) was chosen to examine issues relating to HIV testing. It should be noted that the random sample also serves as a comparison group to the HIV and VCT samples. The sample of survey households is thus comprised of three different groups:
(i) 512 households chosen randomly from a household census of Kosirai Division (the random sample)
(ii) 250 households with at least one HIV-positive individual who receives medical care at the HIV clinic in the Mosoriot health centre (the HIV sample, or "HIV households")
(iii) 61 households with an individual who has recently visited the VCT clinic in MRHTC (the VCT sample)
Of the 250 households in the HIV sample, 167 are households in which the HIV-positive individual is receiving antiretroviral (ARV) treatment at the Mosoriot HIV clinic. In the random sample, the HIV status of respondents is usually unknown, unless the respondent reported having gone for an HIV test and testing HIV-positive or negative. Finally, in the VCT sample, most respondents have tested HIV-negative. Mosoriot Rural Health Training Centre. The health centre is located approximately 25 kilometers south of Eldoret town and is the main health care provider in Kosirai Division. The health centre provides primary care services and is mainly an outpatient facility. In addition, a collaboration between Indiana University and the Moi University Faculty of Health Sciences has established an electronic medical record system (MMRS) at Mosoriot which contains a range of clinical information on all patients who visit the health centre (Hannan, et al. 2000). In 2001, this same collaboration also created the Academic Model for the Prevention and Treatment of HIV/AIDS (AMPATH). AMPATH's first rural HIV clinic was opened in Mosoriot in November 2001 (Cohen, 2004). Beginning in late-2003, the HIV clinic at Mosoriot has experienced tremendous growth, with the number of patients rising from less than 100 in 2003 to over 800 as of October 2004 (AMPATH data).
Face-to-face [f2f]
https://microdata.worldbank.org/index.php/terms-of-use
Markus Goldstein and Harsha Thirumurthy. Greater Eldoret Health and Development Survey (GEHDS) Round 3, 2006. Ref. KEN_2006_GEHDS_v01_M_v01_A_RUF. Dataset downloaded from http://microdata.worldbank.org on [date].
https://microdata.worldbank.org/index.php/terms-of-use
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses
agriculture
The file contains data related to "Agricultural activities - Household Heand Spouse".
963
33
agriculture_a
The file contains data related to section A of "Agricultural activities - Household Head and Spouse" (Land Cultivation).
2517
21
agriculture_b
The file contains data related to section B of Agricultural activities - Household Head and Spouse" (Land Use).
2889
36
agriculture_c
The file contains data related to section C of "Agricultural activities - Household Head and Spouse" (Crop Production).
3134
25
agriculture_d
The file contains data related to section D of "Agricultural activities - Household Head and Spouse" (Farm Inputs).
13482
8
agriculture_e
The file contains data related to questions 2-7 in section E of "Agricultural activities - Household Head and Spouse" (Agricultural Help).
317
9
agriculture_f
The file contains data related to questions 2-8 in section F of "Agricultural activities - Household Head and Spouse" (Livestock Production).
2401
16
agriculture_g
The file contains data related to section G of "Agricultural activities - Household Head and Spouse" (Agricultural Loans/ Extension).
2889
7
agriculture_h
The file contains data related to section H of "Agricultural activities - Household Head and Spouse" (Changes in Farming Practices).
5778
9
anthropo_a
The file contains data related to "Anthropometrics" (Child height and weight and Primary respondents).
798
22
anthropo_b
The file contains data related to section B of "Anthropometrics" (Child vaccinations).
265
53
anthropo_c
The file contains data related to section C of "Anthropometrics" (Growth history).
1120
15
assets_1
The file contains data related to part I of "Assets" (Land), except for questions 8-11 and 17-24.
964
22
assets_1_8
The file contains data related to questions 8-11 in part I of "Assets" (Land sales).
47
13
assets_1_17
The file contains data related to questions 17-24 in part I of "Assets" (Land purchases/acquisitions).
80
19
assets_2
The file contains data related to part II of "Assets" (Livestock), except for questions 1-3, 5-9 and 11-14.
964
19
assets_2_1
The file contains data related to questions 1-3 in part II of "Assets" (Livestock).
3856
5
assets_2_5
The file contains data related to questions 5-9 in part II of "Assets" (Livestock sales and gifts).
729
18
assets_2_11
The file contains data related to questions 11-14 in part II of "Assets" (Livestock pruchases/acquisitions).
1111
17
assets_3
The file contains data related to part III of "Assets" (Small farm equipment).
8676
15
assets_4
The file contains data related to part IV of "Assets" (Large farm equipment), except for questions 7-11 and 13-17.
964
19
assets_4_7
The file contains data related to questions 7-11 in part IV of "Assets" (Large equipment sales and gifts).
9
16
assets_4_13
The file contains data related to questions 13-17 in part IV of "Assets" (Large equipment purchases/acquisitions).
14
17
assets_5
The file contains data related to part V in "Assets" (Durable goods).
9640
14
assets_6
The file contains data related to part VI of "Assets" (Vehicles), except for questions 6-10 and 12-15.
964
19
assets_6_6
The file contains data related to questions 6-10 in part VI of "Assets" (Vehicle sale and gifts).
52
17
assets_6_12
The file contains data related to questions 12-15 in part VI of "Assets" (Vehicle purchases/acuisitions).
80
17
assets_7
The file contains data related to part VII of "Assets".
2385
17
consump
The file contains data related to "Food consumption and expenditures", except for questions in part I, questions in part II, and questions in part III.
1383
38
consump_item
The file contains data related to questions in part I, questions in part II, and questions in part III of "Food consumption and expenditures".
52966
22
education
The file contains data related to "Education" (Education of NEW household members, and Schooling since Round 1).
2825
40
educexp
The file contains data related to "Education expenditures", except for questions 1-9.
1383
18
educexp_2
The file contains data related to "Education expenditures" (Expenses of household head and spouse, Scholarships & in-kind support from organizations, Support from household members other than HH head or spouse, and Support from person outside the household).
2592
33
health_abd
The file contains data related to "Health and health services use" (Most recent illness, Chronic conditions, and Health records data), except for section C.
5401
107
health_c
The file contains data related to section C of "Health and health services use"(Health History), except for questions 2-8 in part I, 2-8 in part II, 2-8 in part III, and 2-8 in part IV.
1383
27
health_c_I
The file contains data related to questions 2 - 8 in part I of section C of "Health and health services use" (Health History - I. Malaria).
1175
16
health_c_II
The file contains data related to questions 2 - 8 in part II of section C of "Health and health services use" (Health History - II. Tuberculosis).
31
15
health_c_III
The file contains data related to questions 2 - 8 in part III of section C of "Health and health services use" (Health History - III. Typhoid).
115
15
health_c_IV
The file contains data related to questions 2 - 8 in part IV of section C of "Health and health services use" (Health History - IV. Meningitis).
8
15
hhattrition
The file contains data related to "Household Attrition Form - Mosoriot Round 3".
1710
28
hhroster_3
The file contains data related to "New Household Members" in Household Roster.
525
24
hhroster_4a
525
24
hhroster_4b
884
27
housing
The file contains data related to "Housing characteristics" (Type and ownership of structures/dwellings, and Other housing characteristics), except for questions 2-13 in part I.
1382
22
housing_2
The file contains data related to questions 2-13 in part I of "Housing characteristics" (Type and ownership of structures/dwellings).
250
20
identification
The file contains data related to cover sheet of the household survey.
1710
20
income
The file contains data related to "Income and activities" (Genral employment information, Wage employment in the past 7 days, Self-employed farming in the past 7 days, Self-employed businesses in the past 7 days, Main job in the past 6 months, Secondary job in the past 6 months, Non-labor income, and Historical occupation).
4378
72
iroster
The file contains data related to "Permanent individual roster".
1885
20
kb
The file contains data related to "Knowledge and behavior" (Knowledge, Behavior, Sexual history & behavior, and Attitudes regarding HIV/AIDS), except for questions 4-12 in section C.
1383
69
kb_4
The file contains data related to questions 4-12 in section C of "Knowledge and behavior" (Sexual history & behavior).
1065
20
marriage
The file contains data related to "Marriage", except for section A and B.
369
8
marriage_a
The file contains data related to section A of "Marriage" (Current marriages).
14
29
marriage_b
The file contains data related to section B of "Marriage" (Previous Marriages).
5
22
mortality
The file contains data related to "Mortality", except for questions 2-48 in section A, questions 2-24 in section B, and questions in section C and D.
976
20
mortality_a
The file contains data related to section A of "Mortality" (Mortality of previous household members).
32
73
mortality_b
The file contains data related to section B of "Mortality" (Mortality of children living away).
6
40
mortality_c
The file contains data related to section C of "Mortality" (Information about Orphan's deceased parent(s) - if parent wasn't part of household).
106
26
mortality_d
The file contains data related to section D of "Mortality" (Information about Living Parents of Foster Children - if parent isn't part of household).
393
11
shocks_a
The file contains data related to section A of "Unexpected events" (Farm events), except for questions 3-5, 7-9, 11-13, 15-17, 19-21, 24-25.
972
37
shocks_a_3
The file contains data related to questions 3-5 in section A of "Unexpected events"(Farm events).
364
10
shocks_a_7
The file contains data related to questions 7-9 in section A of "Unexpected events" (Farm events).
85
8
shocks_a_11
The file contains data related to questions 11-13 in section A of "Unexpected events" (Farm events).
47
7
shocks_a_15
The file contains data related to questions 15-17 in section A of "Unexpected events" (Farm events).
15
8
shocks_a_19
The file contains data related to questions 19-21 in section A of "Unexpected events"(Farm events).
46
8
shocks_a_24
The file contains data related to questions 24-25 in section A of "Unexpected events"(Farm events).
456
6
shocks_b
The file contains data related to section B of "Unexpected events" (Home events), except for questions 30-31, 33-34, and 40-42.
972
23
shocks_b_30
The file contains data related to questions 30-31 in section B of "Unexpected events" (Home events).
123
6
shocks_b_33
The file contains data related to questions 33-34 in section B of "Unexpected events" (Home events).
7
6
shocks_b_40
The file contains data related to questions 40-42 in section B of "Unexpected events" (Home events).
160
8
shocks_c
The file contains data related to section C of "Unexpected events" (Employment events), except for questions 45-47, 49-50 and 53-55 in section C.
972
26
shocks_c_45
The file contains data related to questions 45-47 in section C of "Unexpected events" of the household survey questionnaire (Employment events).
49
8
shocks_c_49
The file contains data related to questions 49-50 in section C of "Unexpected events" (Employment events).
30
6
shocks_c_53
The file contains data related to questions 53-55 in section C of "Unexpected events" (Employment events).
165
8
timealloc
The file contains data related to "Time Allocation".
4439
23
timerisk
The file contains data related to "Time and risk preferences".
1382
43
transfers
The file contains data related to "Transfers and credit" (Transfers and credit received, Transfers and credit sent, Savings, and Within household transfers), except for questions 2-8 and 10-12 in section A, questions 2-8 in section B, questions 2-6, 8-13, 15-19 and 21-26 in section D.
1383
58
transfers_a_2
The file contains data related to questions 2-8 in section A of "Transfers and credit" (Transfers and credit received).
2187
14
transfers_a_10
The file contains data related to questions 10-12 in section A of "Transfers and credit" (Transfers and credit received).
350
12
transfers_b
The file contains data related to questions 2-8 in section B of "Transfers and credit" (Transfers and credit sent).
1306
14
transfers_d_2
The file contains data related to questions 2-5 in section D of "Transfers and credit" (Within household transfers).
680
15
transfers_d_8
The file contains data related to questions 8-13 in section D of "Transfers and credit" (Within household transfers).
1170
15
transfers_d_15
The file contains data related to questions 15-19 in section D of "Transfers and credit" (Within household transfers).
617
15
transfers_d_21
The file contains data related to questions 19-24 in section D of "Transfers and credit" (Within household transfers).
940
15
youth
The file contains data related to "Youth".
1382
65
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID Number
1710
103
99999
Household identification
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID Number
1710
1
10
Household identification
Round
Round
Round
Round
Round
1710
3
3
3
District
District
District
District
District
District
1693
17
1
9
1
Nandi
2
Uasin Gishu
Household identification
Division
Division
Division
Division
Division
Division
1710
4
968
Household identification
Location
Location
Location
Location
Location
Location
1710
4
996
Household identification
Sublocation
Sublocation
Sublocation
Sublocation
Sublocation
Sublocation
1709
1
4
998
Household identification
Village
Village
Village
Village
Village
Village
1709
1
3
998
Household identification
Respondent Name
Respondent Name
Respondent Name
Respondent Name
Respondent Name
Respondent Name
Household identification
Length of interview - Hours
Length of interview - Hours
Length of interview - Hours
Length of interview - Hours
Length of interview - Hours
Interview Length. Hours.
1385
325
98
13.141
30.578
Length of interview -Minutes
Length of interview -Minutes
Length of interview -Minutes
Length of interview -Minutes
Length of interview -Minutes
Interview Length. Minutes.
1385
325
98
33.331
28.569
Day of interview
Day of interview
Day of interview
Day of interview
Day of interview
Date (DD/MM/YYYY). Day.
1710
1
31
Interviewer visits
Month of interview
Month of interview
Month of interview
Month of interview
Month of interview
Date (DD/MM/YYYY). Month.
1710
2
12
Interviewer visits
Year of interview
Year of interview
Year of interview
Year of interview
Year of interview
Date (DD/MM/YYYY). Year.
1710
2005
2006
Interviewer visits
Interviewer number
Interviewer number
Interviewer number
Interviewer number
Interviewer number
Interviewer's Code
1694
16
125
985
Interviewer visits
Household result
Household result
Household result
Household result
Household result
Result Code
1710
1
9
1
Completed
2
Designated Respondent not Present
3
No Household Member/Competent Respondent at Home
4
Entire Household Absent for Extended Period of Time
5
Postponed
6
Refused
7
Dwelling Vacant
8
Dwelling Not Found
9
Other (specify)
Interviewer visits
Main language of intwerview
Main language of intwerview
Main language of intwerview
Main language of intwerview
Main language of intwerview
Main Language of Interview
1387
323
1
8
1
Kiswahili
2
Nandi
3
English
4
Other (specify)
8
Sysmiss
Interviewer visits
Supervisor
Supervisor
Supervisor
Supervisor
Supervisor
Supervisor Code
1709
1
186
574
Data entry clerk
Data entry clerk
Data entry clerk
Data entry clerk
Data entry clerk
Data Entry Code
1710
1
4
District (other)
District (other)
District (other)
District (other)
District (other)
District. Other.
15
1695
10
19
Household ID
Household ID
Household ID
Household ID
Household ID
1710
103
99999
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
1710
1
10
Household Attrition Form Done
Household Attrition Form Done
Household Attrition Form Done
Household Attrition Form Done
Household Attrition Form Done
1701
9
1
2
Day of interview
Day of interview
Day of interview
Day of interview
Day of interview
Date. Day.
331
1379
Month of interview
Month of interview
Month of interview
Month of interview
Month of interview
Date. Month.
331
1379
Year of interview
Year of interview
Year of interview
Year of interview
Year of interview
Date. Year.
331
1379
2006
***Undefined Label
Interviewer ID
Interviewer ID
Interviewer ID
Interviewer ID
Interviewer ID
Interviewer
314
1396
Supervisor ID
Supervisor ID
Supervisor ID
Supervisor ID
Supervisor ID
Supervisor
331
1379
HH interviewed home or clinic in Round 2
HH interviewed home or clinic in Round 2
HH interviewed home or clinic in Round 2
HH interviewed home or clinic in Round 2
HH interviewed home or clinic in Round 2
Last time (round 2), was interview conducted at home or at clinic?
If answer is 2 > Go to 10 (att10 - variable name in dataset).
331
1379
1
Home
2
Clinic
3
Sysmiss
Reason why hh not interviewed
Reason why hh not interviewed
Reason why hh not interviewed
Reason why hh not interviewed
Reason why hh not interviewed
Reason why household members were not interviewed?
Note: Code 5 includes special cases such as household not found and no information obtained, or single-person household in which the single member died.
If answer is 1 > Go to 4 (att4a - variable name in dataset).
If answer is 2 > Go to 9 (att9 - variable name in dataset).
If answer is 4 > Go to 5 (att5 - variable name in dataset).
If answer is 5 > Go to 3 (att3 - variable name in dataset).
180
1530
1
Moved away
2
Not home, multiple visits
3
Refused interview
4
Household divided
5
Other (specify)
8
Sysmiss
Reason why hh not interviewed (other)
Reason why hh not interviewed (other)
Reason why hh not interviewed (other)
Reason why hh not interviewed (other)
Reason why hh not interviewed (other)
Reason why household members were not interviewed? Other (specify).
Note: Code 5 includes special cases such as household not found and no information obtained, or single-person household in which the single member died.
57
Reason for refusal
Reason for refusal
Reason for refusal
Reason for refusal
Reason for refusal
Reason for refusal.
Supervisor should visit.
Go to 9 (att9 - variable name in dataset).
34
Who gave information - 1
Who gave information - 1
Who gave information - 1
Who gave information - 1
Who gave information - 1
Who gave you the information about the household? A.
List up to two groups
42
1668
1
Neighbor(s)
2
Elder or area chief
3
Other (specify)
8
Sysmiss
Who gave information - 2
Who gave information - 2
Who gave information - 2
Who gave information - 2
Who gave information - 2
Who gave you the information about the household? B.
List up to two groups
12
1698
1
Neighbor(s)
2
Elder or area chief
3
Other (specify)
8
Sysmiss
Who gave information - other
Who gave information - other
Who gave information - other
Who gave information - other
Who gave information - other
Who gave you the information about the household? Other (specify).
13
To what region hh moved
To what region hh moved
To what region hh moved
To what region hh moved
To what region hh moved
To what region did the household members move?
46
1664
1
This village
2
This location
3
Kosirai Division
4
Nandi District
5
Uasin Gishu District
6
Eldoret
7
Kakamega
8
Kitale
9
Kisumu
10
Nakuru
11
Nairobi
12
Other urban area
13
Other rural area
14
Outside Kenya
30
98
99
Don't know
Sysmiss
Any hh members died
Any hh members died
Any hh members died
Any hh members died
Any hh members died
Did people indicate whether any household member(s) died since the time of the last interview?
51
1659
1
Yes–adult died
2
Yes–child died
3
Yes–multiple deaths
4
No known deaths
Sysmiss
Reason for hh move
Reason for hh move
Reason for hh move
Reason for hh move
Reason for hh move
What was the stated reason for the household's move?
Reasons such as employment, marriage, dispute, etc.
43
New hh id
New hh id
New hh id
New hh id
New hh id
If household divided and there was a new household interviewed, indicated new hh id:
Obviously don't need if not doing follow up automatically since we can connect on follow up interview form if we do them
10
1700
Other notes
Other notes
Other notes
Other notes
Other notes
Other notes
End.
175
Reason patient not interviewed
Reason patient not interviewed
Reason patient not interviewed
Reason patient not interviewed
Reason patient not interviewed
Why was patient not interviewed?
If patient not found, ask staff whether patient still comes to clinic, transferred, died, etc.
146
1564
1
Refusal
2
Still comes to clinic, not found
3
Stopped coming
4
Transfer to other clinic
5
Known to be deceased
8
9
Sysmiss
Reason for refusal
Reason for refusal
Reason for refusal
Reason for refusal
Reason for refusal
Reason for refusal.
Supervisor should visit.
Go to 13 (att13 - variable name in dataset).
4
Patient's last appointment - Date
Patient's last appointment - Date
Patient's last appointment - Date
Patient's last appointment - Date
Patient's last appointment - Date
When was last appointment for which patient came to clinic? Day.
144
1566
99
Don’t know
Patient's last appointment - Month
Patient's last appointment - Month
Patient's last appointment - Month
Patient's last appointment - Month
Patient's last appointment - Month
When was last appointment for which patient came to clinic? Month.
99
1611
99
Don’t know
Patient's last appointment- Year
Patient's last appointment- Year
Patient's last appointment- Year
Patient's last appointment- Year
Patient's last appointment- Year
When was last appointment for which patient came to clinic? Year.
99
1611
99
Don’t know
Other notes
Other notes
Other notes
Other notes
Other notes
Other notes
71
AMRS Code
AMRS Code
AMRS Code
AMRS Code
AMRS Code
Project manager - check with AMRS data in AMPATH office
144
1566
2
Still comes to clinic
3
Stopped coming
4
Transfer to other clinic
5
Known to be deceased
8
9
Sysmiss
1710
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
1885
103
99975
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
1885
1
8
Individual roster done
Individual roster done
Individual roster done
Individual roster done
Individual roster done
1885
1
Yes
2
No
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
1885
Respondent name
Respondent name
Respondent name
Respondent name
Respondent name
Respondent Name
IRID members
IRID members
IRID members
IRID members
IRID members
1885
1
2
3
4
5
6
7
8
Line number
Line number
Line number
Line number
Line number
1885
Sysmiss
IRID code
IRID code
IRID code
IRID code
IRID code
IRID Code
1885
Name of individual
Name of individual
Name of individual
Name of individual
Name of individual
Name of Individual
Gender
Gender
Gender
Gender
Gender
Gender
1885
1
Male
2
Female
Occupation
Occupation
Occupation
Occupation
Occupation
What is this person’s occupation?
1885
1
99
12.237
21.875
1
Crop farmer
2
Animal farmer
3
Housewife
4
Trader/merchant/salesperson
5
Transport worker
6
Construction worker
7
Teacher/education professional
8
Health professional/TBA/trad. Healer
9
Secretary/clerical
10
Factory worker
11
Restaurant/bar/hotel
12
Skilled trades (carpenter, tailor, etc.)
13
Preacher/pastor
14
Village elder
15
Domestic worker
16
Civil Servant/Government
17
Other (specify)
88
No activity/unemployed
99
Don’t Know
Occupation (Other)
Occupation (Other)
Occupation (Other)
Occupation (Other)
Occupation (Other)
What is this person's occupation? Other (specify).
55
How related to you
How related to you
How related to you
How related to you
How related to you
How is this person related to you?
1881
4
1
Self
2
Spouse
3
Son
4
Daughter
5
Father
6
Mother
7
Grandson
8
Granddaughter
9
Grandfather
10
Grandmother
11
Brother
12
Sister
13
Uncle
14
Aunt
15
Co-wife
16
Cousin
17
Niece
18
Nephew
19
Stepchild
20
Foster child
30
Local Friend/Neighbor
31
Non-resident Friend
32
Village head
33
Lineage head
34
Househelper
35
Employee
36
Employer
37
Landlord
38
Tenant/Renter
39
Priest
40
Trader
41
Other (specify)
99
Don’t Know
103
Son in law
104
Daughter in law
105
Father in law
106
Mother in law
110
Grandmother in law
111
Brother in law
112
Sister in law
How related to you (Other)
How related to you (Other)
How related to you (Other)
How related to you (Other)
How related to you (Other)
How is this person related to you? Other (specify).
99
How long known person
How long known person
How long known person
How long known person
How long known person
How long have you known this person?
[Number of years]
1879
6
1
98
19.449
14.304
How met this person
How met this person
How met this person
How met this person
How met this person
How did you first meet this person?
1885
1
10
1
through spouse/spouse’s family
2
through family
3
through friend
4
through work
5
through church
6
through school
7
through bar/nightclub
8
through health facility
9
through group/organization (specify)
10
other (specify)
How met this person (Other)
How met this person (Other)
How met this person (Other)
How met this person (Other)
How met this person (Other)
How did you first meet this person? Other (specify).
15
How often talk to this person
How often talk to this person
How often talk to this person
How often talk to this person
How often talk to this person
How often do you talk to this person?
1885
1
98
3.295
3.093
1
daily
2
twice a week
3
once a week
4
every two weeks
5
once a month
6
every three months
7
every six months
8
once a year
9
less than once a year
10
dead
Where this person lives
Where this person lives
Where this person lives
Where this person lives
Where this person lives
Where does this person live?
1885
1
98
3.573
8.638
1
This village
2
This location
3
Kosirai Division
4
Nandi District (inc. Kapsabet)
5
Uasin-Gishu District (exc. Eldoret)
6
Eldoret
7
Kakamega
8
Kitale
9
Kisumu
10
Nakuru
11
Nairobi
12
Other urban area
13
Other rural area
14
Outside Kenya
1885
3
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
525
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
525
Line number
Line number
Line number
Line number
Line number
All new household members.
525
ID code
ID code
ID code
ID code
ID code
ID Code
(continue from round 2, i.e., the number listed in question B above)
All new household members.
525
Name of household member
Name of household member
Name of household member
Name of household member
Name of household member
NAME of individual
All new household members.
Sex
Sex
Sex
Sex
Sex
Sex of [NAME]
All new household members.
525
1
Male
2
Female
Relationship to household head
Relationship to household head
Relationship to household head
Relationship to household head
Relationship to household head
Relationship of [NAME] to Head
All new household members.
523
2
1
Self
2
Spouse
3
Son
4
Daughter
5
Father
6
Mother
7
Grandson
8
Granddaughter
9
Grandfather
10
Grandmother
11
Brother
12
Sister
13
Uncle
14
Aunt
15
Co-wife
16
Cousin
17
Niece
18
Nephew
19
Stepchild
20
Foster child
30
Local Friend/Neighbor
31
Non-resident Friend
32
Village head
33
Lineage head
34
Househelper
35
Employee
36
Employer
37
Landlord
38
Tenant/Renter
39
Priest
40
Trader
41
Other (specify)
99
Don’t Know
103
Son in law
104
Daughter in law
105
Father in law
106
Mother in law
110
Grandmother in law
111
Brother in law
112
Sister in law
Relationship (Other)
Relationship (Other)
Relationship (Other)
Relationship (Other)
Relationship (Other)
All new household members.
7
Month of birth
Month of birth
Month of birth
Month of birth
Month of birth
Date of Birth. Month.
All new household members.
525
Year of birth
Year of birth
Year of birth
Year of birth
Year of birth
Date of Birth. Year.
All new household members.
525
Age - Years
Age - Years
Age - Years
Age - Years
Age - Years
Current Age. Years.
All new household members.
525
92
11.77
14.664
Age - Months
Age - Months
Age - Months
Age - Months
Age - Months
Current Age. Mths (if age below 5 yrs).
All new household members.
243
282
98
6.037
10.873
Marital status
Marital status
Marital status
Marital status
Marital status
Current Marital Status
If age<12 > Go to 10 (qh10 - variable name in dataset).
If answer is 3, 4, 5 or 6 > Go to 10 (qh10 - variable name in dataset).
All new household members.
227
298
1
Married
2
Cohabitating
3
Divorced
4
Separated
5
Widowed
6
Never married
8
Sysmiss
Partner lives in household
Partner lives in household
Partner lives in household
Partner lives in household
Partner lives in household
Partner of [NAME] lives in household?
If answer is 2 > Go to 10 (qh10 - variable name in dataset).
All new household members.
51
474
1
Yes
2
No
8
Sysmiss
Code of partner
Code of partner
Code of partner
Code of partner
Code of partner
ID Code of partner
(from col. 1)
All new household members.
36
489
Months away in past 6 months
Months away in past 6 months
Months away in past 6 months
Months away in past 6 months
Months away in past 6 months
How many months was NAME away in last 6 months?
[Round down to whole number]
All new household members.
524
1
8
0.418
1.187
Code of father
Code of father
Code of father
Code of father
Code of father
ID Code of biological father
(from col. 1)
All new household members.
525
88
Not resident
98
Deceased
Code of mother
Code of mother
Code of mother
Code of mother
Code of mother
ID Code of biological mother
(from col. 1)
All new household members.
525
88
Not resident
98
Deceased
ID code of respondent
ID code of respondent
ID code of respondent
ID code of respondent
ID code of respondent
ID code of respondent
525
Members listed in R2
Members listed in R2
Members listed in R2
Members listed in R2
Members listed in R2
Number of individuals listed in Round 2
(refer to Round 2 roster)
525
3.712
HH Head ID code
HH Head ID code
HH Head ID code
HH Head ID code
HH Head ID code
Household Head ID Code
525
Any individual join household since round 2
Any individual join household since round 2
Any individual join household since round 2
Any individual join household since round 2
Any individual join household since round 2
Since the last time we visited your household [since round 2] have any individuals joined your household for an extended period? Have there been any children who have come to stay with you, or have there been any newborn children?
Ask explicitly about newborn children. Sit down with the respondent and go through all individuals listed on Round 2 Household Roster.
Include children from Section 2 - but keep same ID code for these children.
If answer is 2 > Go to Section 4 (hhroster_4a - name of dataset).
525
1
Yes
2
No
3
N\A
Count section 3
Count section 3
Count section 3
Count section 3
Count section 3
525
1
6
1.777
1.038
525
3
Household ID
Household ID
Household ID
Household ID
Household ID
525
197
99309
50380.789
29001.192
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
525
1
2
3
4
5
6
7
8
Line number
Line number
Line number
Line number
Line number
525
Sysmiss
ID code
ID code
ID code
ID code
ID code
525
2
25
8.688
3.872
Name of household member
Name of household member
Name of household member
Name of household member
Name of household member
Sex
Sex
Sex
Sex
Sex
525
1
2
Relationship to household head
Relationship to household head
Relationship to household head
Relationship to household head
Relationship to household head
523
01
02
03
04
05
06
07
08
1
10
11
11A
12
12A
13
14
16
17
18
2
20
3
30
34
35
4
41
4A
5A
6
6A
7
8
98
Relationship (Other)
Relationship (Other)
Relationship (Other)
Relationship (Other)
Relationship (Other)
7
COUSIN TO ID 02
GRAND DAUGHTER
GREAT GRANDSON
HERDSBOY
HH DAUGHTER
Month of birth
Month of birth
Month of birth
Month of birth
Month of birth
525
Year of birth
Year of birth
Year of birth
Year of birth
Year of birth
525
Age - Years
Age - Years
Age - Years
Age - Years
Age - Years
525
92
11.77
14.664
Age - Months
Age - Months
Age - Months
Age - Months
Age - Months
243
282
98
6.037
10.873
Marital status
Marital status
Marital status
Marital status
Marital status
227
298
1
2
4
5
6
8
Sysmiss
Partner lives in household
Partner lives in household
Partner lives in household
Partner lives in household
Partner lives in household
51
474
1
2
8
Sysmiss
Code of partner
Code of partner
Code of partner
Code of partner
Code of partner
36
489
1
98
6.167
16.019
Months away in past 6 months
Months away in past 6 months
Months away in past 6 months
Months away in past 6 months
Months away in past 6 months
524
1
1
2
3
4
5
6
8
Sysmiss
Code of father
Code of father
Code of father
Code of father
Code of father
525
1
99
56.07
43.536
Code of mother
Code of mother
Code of mother
Code of mother
Code of mother
525
1
98
38.994
43.097
HH members listed in R2 moved away
HH members listed in R2 moved away
HH members listed in R2 moved away
HH members listed in R2 moved away
HH members listed in R2 moved away
525
1
Yes
2
No
HH members listed in R2 no longer alive
HH members listed in R2 no longer alive
HH members listed in R2 no longer alive
HH members listed in R2 no longer alive
HH members listed in R2 no longer alive
525
1
Yes
2
No
8
Members moved away or deceased
Members moved away or deceased
Members moved away or deceased
Members moved away or deceased
Members moved away or deceased
246
279
1
2
3
4
6
7
Sysmiss
_merge representing hhrostersection4A
_merge representing hhrostersection4A
_merge representing hhrostersection4A
_merge representing hhrostersection4A
_merge representing hhrostersection4A
525
1
_merge representing hhrostersection4B
_merge representing hhrostersection4B
_merge representing hhrostersection4B
_merge representing hhrostersection4B
_merge representing hhrostersection4B
525
1
525
3
Household ID
Household ID
Household ID
Household ID
Household ID
884
197
99962
50749.646
29507.752
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
884
1
2
3
4
5
6
7
8
HH members listed in R2 moved away
HH members listed in R2 moved away
HH members listed in R2 moved away
HH members listed in R2 moved away
HH members listed in R2 moved away
884
1
Yes
2
No
HH members listed in R2 no longer alive
HH members listed in R2 no longer alive
HH members listed in R2 no longer alive
HH members listed in R2 no longer alive
HH members listed in R2 no longer alive
884
1
Yes
2
No
8
Members moved away or deceased
Members moved away or deceased
Members moved away or deceased
Members moved away or deceased
Members moved away or deceased
884
1
2
3
4
5
6
7
8
14
_merge representing hhrostersection4A
_merge representing hhrostersection4A
_merge representing hhrostersection4A
_merge representing hhrostersection4A
_merge representing hhrostersection4A
884
1
Line number
Line number
Line number
Line number
Line number
884
Sysmiss
ID code
ID code
ID code
ID code
ID code
884
1
24
5.844
3.657
Name
Name
Name
Name
Name
Why no longer a member
Why no longer a member
Why no longer a member
Why no longer a member
Why no longer a member
884
1
2
Month member died
Month member died
Month member died
Month member died
Month member died
40
844
1
98
8.25
14.958
Year member died
Year member died
Year member died
Year member died
Year member died
40
844
2002
2004
2005
2006
Sysmiss
Cause of death
Cause of death
Cause of death
Cause of death
Cause of death
40
844
1
5
7
Sysmiss
Cause of death (Other)
Cause of death (Other)
Cause of death (Other)
Cause of death (Other)
Cause of death (Other)
4
DROWNED
OLD AGE
Illness that was suffering from
Illness that was suffering from
Illness that was suffering from
Illness that was suffering from
Illness that was suffering from
33
851
1
99
12.121
18.357
Illness that was suffering (Other)
Illness that was suffering (Other)
Illness that was suffering (Other)
Illness that was suffering (Other)
Illness that was suffering (Other)
6
ALCOHOL
LUNG INFECTION
OSTEOPOROSIS
RENAL PROBLEM
STROKE
Currently in school
Currently in school
Currently in school
Currently in school
Currently in school
843
41
1
2
9
Sysmiss
Where living
Where living
Where living
Where living
Where living
843
41
1
99
5.573
11.651
Current employment status
Current employment status
Current employment status
Current employment status
Current employment status
843
41
1
2
3
4
5
7
8
9
Sysmiss
Current employment (Other)
Current employment (Other)
Current employment (Other)
Current employment (Other)
Current employment (Other)
18
CASUAL
CASUAL WORKER
DRIVER
HAIR DRESSING
HOUSE GIRL
SCHOOL
SHAMBA BOY
UNTRAINED TEACHER
Why living elsewhere
Why living elsewhere
Why living elsewhere
Why living elsewhere
Why living elsewhere
844
40
1
99
5.528
6.269
Why living elsewhere (Other)
Why living elsewhere (Other)
Why living elsewhere (Other)
Why living elsewhere (Other)
Why living elsewhere (Other)
146
02,03,04 MOVED OUT
03 MOVED
98
BOUGHT HER OWN LAND
COHABITING
DIVORCE
ESTABLISHED A HH
FORMED HER OWN HOUSEHOLD
GOT PREGNANT
HH 91216 SPLIT
HH DIVIDED
HOUSE TO STAY WITH CHILDR
HOUSEHOLD DIVIDED
HUSBAND JAILED
ID 03 MOVED
IN REMAND
INDEPENDENT
JAILED
JOB SEEKING
LEFT THE JOB
LEFT WITH PARENTS
LEFT WORK
LIVES IN HER OWN HOUSE
LIVES WITH ELDER SONS
LIVING IN HER OWN HOUSE
LIVING IN HIS OWN HOUSE
LIVING ON HER LAND
LIVING WITH AUNT
LIVING WITH BROTHER
LIVING WITH COUSIN
LIVING WITH HER MOTHER
LIVING WITH HER PARENTS
LIVING WITH HER SON
LIVING WITH HIS MOTHER
LIVING WITH MOTHER ID04
LIVING WITH PARENTS
LIVING WITH RELATIVE
LIVING WITH UNCLE
LOOK FOR A JOB
MARRIED
MOVED TO ESTABLISH FAMILY
MOVED TO FORM HOUSEHOLD
MOVED TO FORM OWN HHOLD
MOVED TO JOIN HUSBAND
MOVED TO STAY WITH PARENT
MOVED TO UASIN GISHU
MOVED WITH PARENT
REFUSED TO MARRY HIM
RETURNED HOME TO PARENTS
REUNITED WITH FAMILY
SEEKING EMPLOYMENT
SEPARATED
SEPARATION
STAYING IN HER OWN HOUSE
STAYING WITH BROTHER
STAYING WITH HER CHILDREN
STAYING WITH ID 04
STAYING WITH THE AUNTIE
STAYING WITH THE COUSIN
STAYING WITH THE SISTER
STOPPED WORKING
TO LOOK FOR A JOB
TO VISIT HER SISTER
WENT AWAY-DOMESTIC ISSUES
WENT WITH PARENTS
Month moved away
Month moved away
Month moved away
Month moved away
Month moved away
844
40
1
99
5.877
6.165
Year moved away
Year moved away
Year moved away
Year moved away
Year moved away
844
40
98
2006
2000.904
90.346
Directions to new residence
Directions to new residence
Directions to new residence
Directions to new residence
Directions to new residence
_merge representing hhrostersection4B
_merge representing hhrostersection4B
_merge representing hhrostersection4B
_merge representing hhrostersection4B
_merge representing hhrostersection4B
884
1
884
3
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
963
103
99975
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
963
1
8
Agriculture module
Agriculture module
Agriculture module
Agriculture module
Agriculture module
963
1
1
1
Yes
2
No
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
963
1
9
Day of interview
Day of interview
Day of interview
Day of interview
Day of interview
Date of Interview. Day.
963
1
31
Month of interview
Month of interview
Month of interview
Month of interview
Month of interview
Date of Interview. Month.
963
1
10
Year of interview
Year of interview
Year of interview
Year of interview
Year of interview
Date of Interview. Year.
963
2005
2006
_merge representing aga1
_merge representing aga1
_merge representing aga1
_merge representing aga1
_merge representing aga1
963
1
1
Total Land Owned - Quantity
Total Land Owned - Quantity
Total Land Owned - Quantity
Total Land Owned - Quantity
Total Land Owned - Quantity
Total Land Owned. Quantity.
961
2
300
6.93
15.68
Total Land Owned- Unit
Total Land Owned- Unit
Total Land Owned- Unit
Total Land Owned- Unit
Total Land Owned- Unit
Total Land Owned. Land Unit Code.
826
137
1
1
1
acres
2
hectares
3
square-meters
4
square-feet
Sysmiss
Total Land Planted- Quantity
Total Land Planted- Quantity
Total Land Planted- Quantity
Total Land Planted- Quantity
Total Land Planted- Quantity
Total Land Planted with Crops. Quantity.
(include land that is owned by the households as well as land that the household rents)
960
3
514
2.825
17.409
Total Land Planted- Unit
Total Land Planted- Unit
Total Land Planted- Unit
Total Land Planted- Unit
Total Land Planted- Unit
Total Land Planted with Crops. Land Unit Code.
(include land that is owned by the households as well as land that the household rents)
892
71
1
1
1
acres
2
hectares
3
square-meters
4
square-feet
Sysmiss
Total Land Cultivated- Quantity
Total Land Cultivated- Quantity
Total Land Cultivated- Quantity
Total Land Cultivated- Quantity
Total Land Cultivated- Quantity
Total Land Cultivated. Quantity.
(include land used for grazing or housing livestock, and fallow land)
If answer is 0 > End section.
959
4
199
6.408
12.723
Total Land Cultivated- Unit
Total Land Cultivated- Unit
Total Land Cultivated- Unit
Total Land Cultivated- Unit
Total Land Cultivated- Unit
Total Land Cultivated. Land Unit Code.
(include land used for grazing or housing livestock, and fallow land)
915
48
8
1
acres
2
hectares
3
square-meters
4
square-feet
8
Sysmiss
Have a formal title
Have a formal title
Have a formal title
Have a formal title
Have a formal title
Do you have a formal title to your land?
917
46
1
9
1
Yes
2
No
3
8
9
Sysmiss
Number of Plots
Number of Plots
Number of Plots
Number of Plots
Number of Plots
Do you divide your farm into plots? If so, how many?
(Enumerator: If no, enter "1")
919
44
6
_merge representing aga2
_merge representing aga2
_merge representing aga2
_merge representing aga2
_merge representing aga2
963
1
1
_merge representing agb
_merge representing agb
_merge representing agb
_merge representing agb
_merge representing agb
963
1
1
_merge representing agc2
_merge representing agc2
_merge representing agc2
_merge representing agc2
_merge representing agc2
963
1
1
Count of crop
Count of crop
Count of crop
Count of crop
Count of crop
918
45
6
3.414
1.454
_merge representing agc
_merge representing agc
_merge representing agc
_merge representing agc
_merge representing agc
963
1
1
_merge representing agd
_merge representing agd
_merge representing agd
_merge representing agd
_merge representing agd
963
1
1
_merge representing age2
_merge representing age2
_merge representing age2
_merge representing age2
_merge representing age2
963
1
1
Any worked on shamba without being paid
Any worked on shamba without being paid
Any worked on shamba without being paid
Any worked on shamba without being paid
Any worked on shamba without being paid
In 2005, did anyone work on your shambas/gardens without being paid or in exchange for your labour?
If answer is 2 > Go to next section.
934
29
8
1
Yes
2
No
3
8
Sysmiss
Count of persons
Count of persons
Count of persons
Count of persons
Count of persons
149
814
1
5
2.128
1.181
_merge representing age
_merge representing age
_merge representing age
_merge representing age
_merge representing age
963
1
1
_merge representing agf2
_merge representing agf2
_merge representing agf2
_merge representing agf2
_merge representing agf2
963
1
1
Did household raise any livestock
Did household raise any livestock
Did household raise any livestock
Did household raise any livestock
Did household raise any livestock
In 2005, did your household raise any livestock?
If answer is 2 > Go to next section.
946
17
1
8
1
Yes
2
No
8
Sysmiss
Count of Livestock
Count of Livestock
Count of Livestock
Count of Livestock
Count of Livestock
854
109
5
2.811
1.073
_merge representing agf
_merge representing agf
_merge representing agf
_merge representing agf
_merge representing agf
963
1
1
_merge representing agg
_merge representing agg
_merge representing agg
_merge representing agg
_merge representing agg
963
1
1
_merge representing agh
_merge representing agh
_merge representing agh
_merge representing agh
_merge representing agh
963
1
1
963
1
3
1
3
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
2517
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
2517
Plot Number
Plot Number
Plot Number
Plot Number
Plot Number
Plot Number
2517
What crops in 2005-1
What crops in 2005-1
What crops in 2005-1
What crops in 2005-1
What crops in 2005-1
What use was this shamba/farm put to in 2005?
(Include both long and short rains)
(Note: list crops in order of importance/acreage)
List up to 8 crop codes
2462
55
1
Maize
2
Wheat
3
Millet or sorghum
4
Rice
5
Beans, peas, cowpeas, other pulses
6
Cabbage
7
Sukuma wiki
8
Spinach
9
Yams or Sweet potatoes
10
Irish potatoes
11
Cassava
12
Groundnuts
13
Sunflower seeds
14
Tomatoes
15
Onions, leeks
16
Eggplant
17
Carrots
18
Capsicums/Green Peppers
19
Chillies
20
Coffee
21
Tea
22
Tobacco
23
Cotton
24
Lumber, wood
25
Oil palm/palm oil
26
Honey or Sugarcane
27
Avocado
28
Bananas
29
Mangoes
30
Oranges/Citrus fruits
31
Pineapple
32
Sugarcane
33
Other fruits (specify)
34
Other vegetables (specify)
35
Grass for feed
36
Fodder for feed
37
Sucha/Saga
88
Fallow
89
Grazing
What crops in 2005-2
What crops in 2005-2
What crops in 2005-2
What crops in 2005-2
What crops in 2005-2
What use was this shamba/farm put to in 2005?
(Include both long and short rains)
(Note: list crops in order of importance/acreage)
List up to 8 crop codes
1385
1132
1
Maize
2
Wheat
3
Millet or sorghum
4
Rice
5
Beans, peas, cowpeas, other pulses
6
Cabbage
7
Sukuma wiki
8
Spinach
9
Yams or Sweet potatoes
10
Irish potatoes
11
Cassava
12
Groundnuts
13
Sunflower seeds
14
Tomatoes
15
Onions, leeks
16
Eggplant
17
Carrots
18
Capsicums/Green Peppers
19
Chillies
20
Coffee
21
Tea
22
Tobacco
23
Cotton
24
Lumber, wood
25
Oil palm/palm oil
26
Honey or Sugarcane
27
Avocado
28
Bananas
29
Mangoes
30
Oranges/Citrus fruits
31
Pineapple
32
Sugarcane
33
Other fruits (specify)
34
Other vegetables (specify)
35
Grass for feed
36
Fodder for feed
37
Sucha/Saga
88
Fallow
89
Grazing
What crops in 2005-3
What crops in 2005-3
What crops in 2005-3
What crops in 2005-3
What crops in 2005-3
What use was this shamba/farm put to in 2005?
(Include both long and short rains)
(Note: list crops in order of importance/acreage)
List up to 8 crop codes
550
1967
1
Maize
2
Wheat
3
Millet or sorghum
4
Rice
5
Beans, peas, cowpeas, other pulses
6
Cabbage
7
Sukuma wiki
8
Spinach
9
Yams or Sweet potatoes
10
Irish potatoes
11
Cassava
12
Groundnuts
13
Sunflower seeds
14
Tomatoes
15
Onions, leeks
16
Eggplant
17
Carrots
18
Capsicums/Green Peppers
19
Chillies
20
Coffee
21
Tea
22
Tobacco
23
Cotton
24
Lumber, wood
25
Oil palm/palm oil
26
Honey or Sugarcane
27
Avocado
28
Bananas
29
Mangoes
30
Oranges/Citrus fruits
31
Pineapple
32
Sugarcane
33
Other fruits (specify)
34
Other vegetables (specify)
35
Grass for feed
36
Fodder for feed
37
Sucha/Saga
88
Fallow
89
Grazing
What crops in 2005-4
What crops in 2005-4
What crops in 2005-4
What crops in 2005-4
What crops in 2005-4
What use was this shamba/farm put to in 2005?
(Include both long and short rains)
(Note: list crops in order of importance/acreage)
List up to 8 crop codes
327
2190
1
Maize
2
Wheat
3
Millet or sorghum
4
Rice
5
Beans, peas, cowpeas, other pulses
6
Cabbage
7
Sukuma wiki
8
Spinach
9
Yams or Sweet potatoes
10
Irish potatoes
11
Cassava
12
Groundnuts
13
Sunflower seeds
14
Tomatoes
15
Onions, leeks
16
Eggplant
17
Carrots
18
Capsicums/Green Peppers
19
Chillies
20
Coffee
21
Tea
22
Tobacco
23
Cotton
24
Lumber, wood
25
Oil palm/palm oil
26
Honey or Sugarcane
27
Avocado
28
Bananas
29
Mangoes
30
Oranges/Citrus fruits
31
Pineapple
32
Sugarcane
33
Other fruits (specify)
34
Other vegetables (specify)
35
Grass for feed
36
Fodder for feed
37
Sucha/Saga
88
Fallow
89
Grazing
What crops in 2005-5
What crops in 2005-5
What crops in 2005-5
What crops in 2005-5
What crops in 2005-5
What use was this shamba/farm put to in 2005?
(Include both long and short rains)
(Note: list crops in order of importance/acreage)
List up to 8 crop codes
172
2345
1
Maize
2
Wheat
3
Millet or sorghum
4
Rice
5
Beans, peas, cowpeas, other pulses
6
Cabbage
7
Sukuma wiki
8
Spinach
9
Yams or Sweet potatoes
10
Irish potatoes
11
Cassava
12
Groundnuts
13
Sunflower seeds
14
Tomatoes
15
Onions, leeks
16
Eggplant
17
Carrots
18
Capsicums/Green Peppers
19
Chillies
20
Coffee
21
Tea
22
Tobacco
23
Cotton
24
Lumber, wood
25
Oil palm/palm oil
26
Honey or Sugarcane
27
Avocado
28
Bananas
29
Mangoes
30
Oranges/Citrus fruits
31
Pineapple
32
Sugarcane
33
Other fruits (specify)
34
Other vegetables (specify)
35
Grass for feed
36
Fodder for feed
37
Sucha/Saga
88
Fallow
89
Grazing
What crops in 2005-6
What crops in 2005-6
What crops in 2005-6
What crops in 2005-6
What crops in 2005-6
What use was this shamba/farm put to in 2005?
(Include both long and short rains)
(Note: list crops in order of importance/acreage)
List up to 8 crop codes
91
2426
1
Maize
2
Wheat
3
Millet or sorghum
4
Rice
5
Beans, peas, cowpeas, other pulses
6
Cabbage
7
Sukuma wiki
8
Spinach
9
Yams or Sweet potatoes
10
Irish potatoes
11
Cassava
12
Groundnuts
13
Sunflower seeds
14
Tomatoes
15
Onions, leeks
16
Eggplant
17
Carrots
18
Capsicums/Green Peppers
19
Chillies
20
Coffee
21
Tea
22
Tobacco
23
Cotton
24
Lumber, wood
25
Oil palm/palm oil
26
Honey or Sugarcane
27
Avocado
28
Bananas
29
Mangoes
30
Oranges/Citrus fruits
31
Pineapple
32
Sugarcane
33
Other fruits (specify)
34
Other vegetables (specify)
35
Grass for feed
36
Fodder for feed
37
Sucha/Saga
88
Fallow
89
Grazing
What crops in 2005-7
What crops in 2005-7
What crops in 2005-7
What crops in 2005-7
What crops in 2005-7
What use was this shamba/farm put to in 2005?
(Include both long and short rains)
(Note: list crops in order of importance/acreage)
List up to 8 crop codes
45
2472
1
Maize
2
Wheat
3
Millet or sorghum
4
Rice
5
Beans, peas, cowpeas, other pulses
6
Cabbage
7
Sukuma wiki
8
Spinach
9
Yams or Sweet potatoes
10
Irish potatoes
11
Cassava
12
Groundnuts
13
Sunflower seeds
14
Tomatoes
15
Onions, leeks
16
Eggplant
17
Carrots
18
Capsicums/Green Peppers
19
Chillies
20
Coffee
21
Tea
22
Tobacco
23
Cotton
24
Lumber, wood
25
Oil palm/palm oil
26
Honey or Sugarcane
27
Avocado
28
Bananas
29
Mangoes
30
Oranges/Citrus fruits
31
Pineapple
32
Sugarcane
33
Other fruits (specify)
34
Other vegetables (specify)
35
Grass for feed
36
Fodder for feed
37
Sucha/Saga
88
Fallow
89
Grazing
What crops in 2005-8
What crops in 2005-8
What crops in 2005-8
What crops in 2005-8
What crops in 2005-8
What use was this shamba/farm put to in 2005?
(Include both long and short rains)
(Note: list crops in order of importance/acreage)
List up to 8 crop codes
26
2491
1
Maize
2
Wheat
3
Millet or sorghum
4
Rice
5
Beans, peas, cowpeas, other pulses
6
Cabbage
7
Sukuma wiki
8
Spinach
9
Yams or Sweet potatoes
10
Irish potatoes
11
Cassava
12
Groundnuts
13
Sunflower seeds
14
Tomatoes
15
Onions, leeks
16
Eggplant
17
Carrots
18
Capsicums/Green Peppers
19
Chillies
20
Coffee
21
Tea
22
Tobacco
23
Cotton
24
Lumber, wood
25
Oil palm/palm oil
26
Honey or Sugarcane
27
Avocado
28
Bananas
29
Mangoes
30
Oranges/Citrus fruits
31
Pineapple
32
Sugarcane
33
Other fruits (specify)
34
Other vegetables (specify)
35
Grass for feed
36
Fodder for feed
37
Sucha/Saga
88
Fallow
89
Grazing
What crops in 2005-8 (other)
What crops in 2005-8 (other)
What crops in 2005-8 (other)
What crops in 2005-8 (other)
What crops in 2005-8 (other)
What use was this shamba/farm put to in 2005? Other (specify).
150
What crops in 2006-1
What crops in 2006-1
What crops in 2006-1
What crops in 2006-1
What crops in 2006-1
What is this shamba/farm being used for in 2006?
(Include both long and short rains)
List up to 8 crop codes.
2496
21
1
Maize
2
Wheat
3
Millet or sorghum
4
Rice
5
Beans, peas, cowpeas, other pulses
6
Cabbage
7
Sukuma wiki
8
Spinach
9
Yams or Sweet potatoes
10
Irish potatoes
11
Cassava
12
Groundnuts
13
Sunflower seeds
14
Tomatoes
15
Onions, leeks
16
Eggplant
17
Carrots
18
Capsicums/Green Peppers
19
Chillies
20
Coffee
21
Tea
22
Tobacco
23
Cotton
24
Lumber, wood
25
Oil palm/palm oil
26
Honey or Sugarcane
27
Avocado
28
Bananas
29
Mangoes
30
Oranges/Citrus fruits
31
Pineapple
32
Sugarcane
33
Other fruits (specify)
34
Other vegetables (specify)
35
Grass for feed
36
Fodder for feed
37
Sucha/Saga
88
Fallow
89
Grazing
What crops in 2006-2
What crops in 2006-2
What crops in 2006-2
What crops in 2006-2
What crops in 2006-2
What is this shamba/farm being used for in 2006?
(Include both long and short rains)
List up to 8 crop codes.
1429
1088
1
Maize
2
Wheat
3
Millet or sorghum
4
Rice
5
Beans, peas, cowpeas, other pulses
6
Cabbage
7
Sukuma wiki
8
Spinach
9
Yams or Sweet potatoes
10
Irish potatoes
11
Cassava
12
Groundnuts
13
Sunflower seeds
14
Tomatoes
15
Onions, leeks
16
Eggplant
17
Carrots
18
Capsicums/Green Peppers
19
Chillies
20
Coffee
21
Tea
22
Tobacco
23
Cotton
24
Lumber, wood
25
Oil palm/palm oil
26
Honey or Sugarcane
27
Avocado
28
Bananas
29
Mangoes
30
Oranges/Citrus fruits
31
Pineapple
32
Sugarcane
33
Other fruits (specify)
34
Other vegetables (specify)
35
Grass for feed
36
Fodder for feed
37
Sucha/Saga
88
Fallow
89
Grazing
What crops in 2006-3
What crops in 2006-3
What crops in 2006-3
What crops in 2006-3
What crops in 2006-3
What is this shamba/farm being used for in 2006?
(Include both long and short rains)
List up to 8 crop codes.
584
1933
1
Maize
2
Wheat
3
Millet or sorghum
4
Rice
5
Beans, peas, cowpeas, other pulses
6
Cabbage
7
Sukuma wiki
8
Spinach
9
Yams or Sweet potatoes
10
Irish potatoes
11
Cassava
12
Groundnuts
13
Sunflower seeds
14
Tomatoes
15
Onions, leeks
16
Eggplant
17
Carrots
18
Capsicums/Green Peppers
19
Chillies
20
Coffee
21
Tea
22
Tobacco
23
Cotton
24
Lumber, wood
25
Oil palm/palm oil
26
Honey or Sugarcane
27
Avocado
28
Bananas
29
Mangoes
30
Oranges/Citrus fruits
31
Pineapple
32
Sugarcane
33
Other fruits (specify)
34
Other vegetables (specify)
35
Grass for feed
36
Fodder for feed
37
Sucha/Saga
88
Fallow
89
Grazing
What crops in 2006-4
What crops in 2006-4
What crops in 2006-4
What crops in 2006-4
What crops in 2006-4
What is this shamba/farm being used for in 2006?
(Include both long and short rains)
List up to 8 crop codes.
366
2151
1
Maize
2
Wheat
3
Millet or sorghum
4
Rice
5
Beans, peas, cowpeas, other pulses
6
Cabbage
7
Sukuma wiki
8
Spinach
9
Yams or Sweet potatoes
10
Irish potatoes
11
Cassava
12
Groundnuts
13
Sunflower seeds
14
Tomatoes
15
Onions, leeks
16
Eggplant
17
Carrots
18
Capsicums/Green Peppers
19
Chillies
20
Coffee
21
Tea
22
Tobacco
23
Cotton
24
Lumber, wood
25
Oil palm/palm oil
26
Honey or Sugarcane
27
Avocado
28
Bananas
29
Mangoes
30
Oranges/Citrus fruits
31
Pineapple
32
Sugarcane
33
Other fruits (specify)
34
Other vegetables (specify)
35
Grass for feed
36
Fodder for feed
37
Sucha/Saga
88
Fallow
89
Grazing
What crops in 2006-5
What crops in 2006-5
What crops in 2006-5
What crops in 2006-5
What crops in 2006-5
What is this shamba/farm being used for in 2006?
(Include both long and short rains)
List up to 8 crop codes.
201
2316
1
Maize
2
Wheat
3
Millet or sorghum
4
Rice
5
Beans, peas, cowpeas, other pulses
6
Cabbage
7
Sukuma wiki
8
Spinach
9
Yams or Sweet potatoes
10
Irish potatoes
11
Cassava
12
Groundnuts
13
Sunflower seeds
14
Tomatoes
15
Onions, leeks
16
Eggplant
17
Carrots
18
Capsicums/Green Peppers
19
Chillies
20
Coffee
21
Tea
22
Tobacco
23
Cotton
24
Lumber, wood
25
Oil palm/palm oil
26
Honey or Sugarcane
27
Avocado
28
Bananas
29
Mangoes
30
Oranges/Citrus fruits
31
Pineapple
32
Sugarcane
33
Other fruits (specify)
34
Other vegetables (specify)
35
Grass for feed
36
Fodder for feed
37
Sucha/Saga
88
Fallow
89
Grazing
What crops in 2006-6
What crops in 2006-6
What crops in 2006-6
What crops in 2006-6
What crops in 2006-6
What is this shamba/farm being used for in 2006?
(Include both long and short rains)
List up to 8 crop codes.
112
2405
1
Maize
2
Wheat
3
Millet or sorghum
4
Rice
5
Beans, peas, cowpeas, other pulses
6
Cabbage
7
Sukuma wiki
8
Spinach
9
Yams or Sweet potatoes
10
Irish potatoes
11
Cassava
12
Groundnuts
13
Sunflower seeds
14
Tomatoes
15
Onions, leeks
16
Eggplant
17
Carrots
18
Capsicums/Green Peppers
19
Chillies
20
Coffee
21
Tea
22
Tobacco
23
Cotton
24
Lumber, wood
25
Oil palm/palm oil
26
Honey or Sugarcane
27
Avocado
28
Bananas
29
Mangoes
30
Oranges/Citrus fruits
31
Pineapple
32
Sugarcane
33
Other fruits (specify)
34
Other vegetables (specify)
35
Grass for feed
36
Fodder for feed
37
Sucha/Saga
88
Fallow
89
Grazing
What crops in 2006-7
What crops in 2006-7
What crops in 2006-7
What crops in 2006-7
What crops in 2006-7
What is this shamba/farm being used for in 2006?
(Include both long and short rains)
List up to 8 crop codes.
51
2466
1
Maize
2
Wheat
3
Millet or sorghum
4
Rice
5
Beans, peas, cowpeas, other pulses
6
Cabbage
7
Sukuma wiki
8
Spinach
9
Yams or Sweet potatoes
10
Irish potatoes
11
Cassava
12
Groundnuts
13
Sunflower seeds
14
Tomatoes
15
Onions, leeks
16
Eggplant
17
Carrots
18
Capsicums/Green Peppers
19
Chillies
20
Coffee
21
Tea
22
Tobacco
23
Cotton
24
Lumber, wood
25
Oil palm/palm oil
26
Honey or Sugarcane
27
Avocado
28
Bananas
29
Mangoes
30
Oranges/Citrus fruits
31
Pineapple
32
Sugarcane
33
Other fruits (specify)
34
Other vegetables (specify)
35
Grass for feed
36
Fodder for feed
37
Sucha/Saga
88
Fallow
89
Grazing
What crops in 2006-8
What crops in 2006-8
What crops in 2006-8
What crops in 2006-8
What crops in 2006-8
What is this shamba/farm being used for in 2006?
(Include both long and short rains)
List up to 8 crop codes.
27
2490
1
Maize
2
Wheat
3
Millet or sorghum
4
Rice
5
Beans, peas, cowpeas, other pulses
6
Cabbage
7
Sukuma wiki
8
Spinach
9
Yams or Sweet potatoes
10
Irish potatoes
11
Cassava
12
Groundnuts
13
Sunflower seeds
14
Tomatoes
15
Onions, leeks
16
Eggplant
17
Carrots
18
Capsicums/Green Peppers
19
Chillies
20
Coffee
21
Tea
22
Tobacco
23
Cotton
24
Lumber, wood
25
Oil palm/palm oil
26
Honey or Sugarcane
27
Avocado
28
Bananas
29
Mangoes
30
Oranges/Citrus fruits
31
Pineapple
32
Sugarcane
33
Other fruits (specify)
34
Other vegetables (specify)
35
Grass for feed
36
Fodder for feed
37
Sucha/Saga
88
Fallow
89
Grazing
What crops in 2006-8 (other)
What crops in 2006-8 (other)
What crops in 2006-8 (other)
What crops in 2006-8 (other)
What crops in 2006-8 (other)
What is this shamba/farm being used for in 2006? Other (specify).
164
Household ID
Household ID
Household ID
Household ID
Household ID
2889
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
2889
Year
Year
Year
Year
Year
2889
1
2004
2
2005
3
2006
Tillage Method Used
Tillage Method Used
Tillage Method Used
Tillage Method Used
Tillage Method Used
What was the main tillage method used ?
2628
261
1
Conventional hand hoeing (jembe)
2
Plowing with animals
3
Plowing with mechanical power
4
Other (specify)
9
Sysmiss
Tillage Method Used (other)
Tillage Method Used (other)
Tillage Method Used (other)
Tillage Method Used (other)
Tillage Method Used (other)
What was the main tillage method used ? Other (specify).
Number of Complete Weedings
Number of Complete Weedings
Number of Complete Weedings
Number of Complete Weedings
Number of Complete Weedings
How many complete weedings did you do?
2541
348
99
1.995
3.361
Substances to Improve Soil Fertility - 1
Substances to Improve Soil Fertility - 1
Substances to Improve Soil Fertility - 1
Substances to Improve Soil Fertility - 1
Substances to Improve Soil Fertility - 1
Did you apply any substances to improve soil fertility ?
(List all)
2607
282
1
None
2
Animal Manure
3
Inorganic (Chemical) fertilizer- basal
4
Inorganic (Chemical) fertilizer- top dressing
5
Organic fertilizer/ Compost
9
Other (specify)
Sysmiss
Substances to Improve Soil Fertility - 2
Substances to Improve Soil Fertility - 2
Substances to Improve Soil Fertility - 2
Substances to Improve Soil Fertility - 2
Substances to Improve Soil Fertility - 2
Did you apply any substances to improve soil fertility ?
(List all)
854
2035
1
None
2
Animal Manure
3
Inorganic (Chemical) fertilizer- basal
4
Inorganic (Chemical) fertilizer- top dressing
5
Organic fertilizer/ Compost
9
Other (specify)
Sysmiss
Substances to Improve Soil Fertility - 3
Substances to Improve Soil Fertility - 3
Substances to Improve Soil Fertility - 3
Substances to Improve Soil Fertility - 3
Substances to Improve Soil Fertility - 3
Did you apply any substances to improve soil fertility ?
(List all)
27
2862
1
None
2
Animal Manure
3
Inorganic (Chemical) fertilizer- basal
4
Inorganic (Chemical) fertilizer- top dressing
5
Organic fertilizer/ Compost
9
Other (specify)
Sysmiss
Substances to Improve Soil Fertility (other)
Substances to Improve Soil Fertility (other)
Substances to Improve Soil Fertility (other)
Substances to Improve Soil Fertility (other)
Substances to Improve Soil Fertility (other)
Did you apply any substances to improve soil fertility ? Other (specify).
(List all)
Did you burn before plowing?
Did you burn before plowing?
Did you burn before plowing?
Did you burn before plowing?
Did you burn before plowing?
Before plowing, did you burn the vegetation and/or crop residue on the shamba?
2657
232
1
Yes
2
No
3
9
Sysmiss
Pests/diseases present on shamba - 1
Pests/diseases present on shamba - 1
Pests/diseases present on shamba - 1
Pests/diseases present on shamba - 1
Pests/diseases present on shamba - 1
Which pests/diseases were present on your shamba/garden ?
(List all)
2358
531
1
Stock Bora
2
Diamond back moth
3
Aphids
4
Red spider mites
5
Powdery mildew
6
Bacterial black rot
7
Birds, Rodents or Weevils
8
Other (Specify)
9
Sysmiss
Pests/diseases present on shamba - 2
Pests/diseases present on shamba - 2
Pests/diseases present on shamba - 2
Pests/diseases present on shamba - 2
Pests/diseases present on shamba - 2
Which pests/diseases were present on your shamba/garden ?
(List all)
20
2869
1
Stock Bora
2
Diamond back moth
3
Aphids
4
Red spider mites
5
Powdery mildew
6
Bacterial black rot
7
Birds, Rodents or Weevils
8
Other (Specify)
Sysmiss
Pests/diseases present on shamba - 3
Pests/diseases present on shamba - 3
Pests/diseases present on shamba - 3
Pests/diseases present on shamba - 3
Pests/diseases present on shamba - 3
Which pests/diseases were present on your shamba/garden ?
(List all)
2889
1
Stock Bora
2
Diamond back moth
3
Aphids
4
Red spider mites
5
Powdery mildew
6
Bacterial black rot
7
Birds, Rodents or Weevils
8
Other (Specify)
Sysmiss
Pests/diseases present on shamba - 4
Pests/diseases present on shamba - 4
Pests/diseases present on shamba - 4
Pests/diseases present on shamba - 4
Pests/diseases present on shamba - 4
Which pests/diseases were present on your shamba/garden ?
(List all)
2889
1
Stock Bora
2
Diamond back moth
3
Aphids
4
Red spider mites
5
Powdery mildew
6
Bacterial black rot
7
Birds, Rodents or Weevils
8
Other (Specify)
Sysmiss
Pests/diseases present on shamba - 5
Pests/diseases present on shamba - 5
Pests/diseases present on shamba - 5
Pests/diseases present on shamba - 5
Pests/diseases present on shamba - 5
Which pests/diseases were present on your shamba/garden ?
(List all)
2889
1
Stock Bora
2
Diamond back moth
3
Aphids
4
Red spider mites
5
Powdery mildew
6
Bacterial black rot
7
Birds, Rodents or Weevils
8
Other (Specify)
Sysmiss
Pests/diseases present on shamba (other)
Pests/diseases present on shamba (other)
Pests/diseases present on shamba (other)
Pests/diseases present on shamba (other)
Pests/diseases present on shamba (other)
Which pests/diseases were present on your shamba/garden ? Other (specify).
(List all)
16
What methods used to control pests - 1
What methods used to control pests - 1
What methods used to control pests - 1
What methods used to control pests - 1
What methods used to control pests - 1
What methods did you use to control these pests/diseases?
(List all)
2359
530
1
None
2
Dawa (Not Otherwise Specified)
3
Pesticide
4
Herbicide
5
Fungicide
6
Any type of biological control
7
Traps
8
Other (Specify)
9
Sysmiss
What methods used to control pests - 2
What methods used to control pests - 2
What methods used to control pests - 2
What methods used to control pests - 2
What methods used to control pests - 2
What methods did you use to control these pests/diseases?
(List all)
5
2884
1
None
2
Dawa (Not Otherwise Specified)
3
Pesticide
4
Herbicide
5
Fungicide
6
Any type of biological control
7
Traps
8
Other (Specify)
Sysmiss
What methods used to control pests - 3
What methods used to control pests - 3
What methods used to control pests - 3
What methods used to control pests - 3
What methods used to control pests - 3
What methods did you use to control these pests/diseases?
(List all)
2889
1
None
2
Dawa (Not Otherwise Specified)
3
Pesticide
4
Herbicide
5
Fungicide
6
Any type of biological control
7
Traps
8
Other (Specify)
Sysmiss
What methods used to control pests (other)
What methods used to control pests (other)
What methods used to control pests (other)
What methods used to control pests (other)
What methods used to control pests (other)
What methods did you use to control these pests/diseases?
(List all)
18
Land improvement practices - 1
Land improvement practices - 1
Land improvement practices - 1
Land improvement practices - 1
Land improvement practices - 1
Did you employ any of the following land improvement practices?
(List all)
2542
347
1
Intercropping with legumes (maharagwe)
2
Intercropping with other crop(s)
3
Fencing or other barriers
4
Crop Rotation
5
Square Yard farming
6
Drainage channels
7
Terraces
8
Planting of grass strips (nebia grass)
9
Other (specify)
Sysmiss
Land improvement practices - 2
Land improvement practices - 2
Land improvement practices - 2
Land improvement practices - 2
Land improvement practices - 2
Did you employ any of the following land improvement practices?
(List all)
968
1921
1
Intercropping with legumes (maharagwe)
2
Intercropping with other crop(s)
3
Fencing or other barriers
4
Crop Rotation
5
Square Yard farming
6
Drainage channels
7
Terraces
8
Planting of grass strips (nebia grass)
9
Other (specify)
Sysmiss
Land improvement practices - 3
Land improvement practices - 3
Land improvement practices - 3
Land improvement practices - 3
Land improvement practices - 3
Did you employ any of the following land improvement practices?
(List all)
229
2660
1
Intercropping with legumes (maharagwe)
2
Intercropping with other crop(s)
3
Fencing or other barriers
4
Crop Rotation
5
Square Yard farming
6
Drainage channels
7
Terraces
8
Planting of grass strips (nebia grass)
9
Other (specify)
Sysmiss
Land improvement practices - 4
Land improvement practices - 4
Land improvement practices - 4
Land improvement practices - 4
Land improvement practices - 4
Did you employ any of the following land improvement practices?
(List all)
28
2861
1
Intercropping with legumes (maharagwe)
2
Intercropping with other crop(s)
3
Fencing or other barriers
4
Crop Rotation
5
Square Yard farming
6
Drainage channels
7
Terraces
8
Planting of grass strips (nebia grass)
9
Other (specify)
Sysmiss
Land improvement practices - 5
Land improvement practices - 5
Land improvement practices - 5
Land improvement practices - 5
Land improvement practices - 5
Did you employ any of the following land improvement practices?
(List all)
4
2885
1
Intercropping with legumes (maharagwe)
2
Intercropping with other crop(s)
3
Fencing or other barriers
4
Crop Rotation
5
Square Yard farming
6
Drainage channels
7
Terraces
8
Planting of grass strips (nebia grass)
9
Other (specify)
Sysmiss
Land improvement practices (Other)
Land improvement practices (Other)
Land improvement practices (Other)
Land improvement practices (Other)
Land improvement practices (Other)
Did you employ any of the following land improvement practices?
(List all)
20
Sources of water for irrigation - 1
Sources of water for irrigation - 1
Sources of water for irrigation - 1
Sources of water for irrigation - 1
Sources of water for irrigation - 1
Do you have any extra sources of water for irrigation (i.e., non-rain) ?
2635
254
1
None
2
Surface Pond
3
Nearby Stream
4
Harvested
5
Bore holes, wells
6
Other (specify)
Sysmiss
Sources of water for irrigation - 2
Sources of water for irrigation - 2
Sources of water for irrigation - 2
Sources of water for irrigation - 2
Sources of water for irrigation - 2
Do you have any extra sources of water for irrigation (i.e., non-rain) ?
2889
1
None
2
Surface Pond
3
Nearby Stream
4
Harvested
5
Bore holes, wells
6
Other (specify)
Sysmiss
Sources of water for irrigation - 3
Sources of water for irrigation - 3
Sources of water for irrigation - 3
Sources of water for irrigation - 3
Sources of water for irrigation - 3
Do you have any extra sources of water for irrigation (i.e., non-rain) ?
2889
1
None
2
Surface Pond
3
Nearby Stream
4
Harvested
5
Bore holes, wells
6
Other (specify)
Sysmiss
Sources of water for irrigation (other)
Sources of water for irrigation (other)
Sources of water for irrigation (other)
Sources of water for irrigation (other)
Sources of water for irrigation (other)
Do you have any extra sources of water for irrigation (i.e., non-rain) ? Other (specify).
18
Acres of land left fallow
Acres of land left fallow
Acres of land left fallow
Acres of land left fallow
Acres of land left fallow
How many acres of you land did you leave fallow?
If answer is 0 > Go to next section.
2702
187
99
18.533
33.605
How many months left fallow
How many months left fallow
How many months left fallow
How many months left fallow
How many months left fallow
If yes, how many months did you leave this land fallow?
2192
697
1
12
11.911
0.847
Type of fallow practice
Type of fallow practice
Type of fallow practice
Type of fallow practice
Type of fallow practice
If yes, what type of fallow practice did you use?
2189
700
1
Natural fallow
2
Legume cover crop
3
Other cover crop
4
Grazing
5
Sysmiss
What was the reason for leaving fallow?
What was the reason for leaving fallow?
What was the reason for leaving fallow?
What was the reason for leaving fallow?
What was the reason for leaving fallow?
If yes, what was the reason for leaving this land fallow?
2193
696
1
Lack of funds
2
Lack of labor/time
3
To improve soil productivity
4
For pest/disease control
5
Other (specify)
8
Sysmiss
What was the reason for leaving fallow? (other)
What was the reason for leaving fallow? (other)
What was the reason for leaving fallow? (other)
What was the reason for leaving fallow? (other)
What was the reason for leaving fallow? (other)
If yes, what was the reason for leaving this land fallow? Other (specify).
1841
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
3134
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
3134
Line number
Line number
Line number
Line number
Line number
3134
Crop code
Crop code
Crop code
Crop code
Crop code
Crop Codes
3134
1
37
11.016
12.768
1
Maize
2
Wheat
3
Millet or sorghum
4
Rice
5
Beans, peas, cowpeas, other pulses
6
Cabbage
7
Sukuma wiki
8
Spinach
9
Yams or Sweet potatoes
10
Irish potatoes
11
Cassava
12
Groundnuts
13
Sunflower seeds
14
Tomatoes
15
Onions, leeks
16
Eggplant
17
Carrots
18
Capsicums/Green Peppers
19
Chillies
20
Coffee
21
Tea
22
Tobacco
23
Cotton
24
Lumber, wood
25
Oil palm/palm oil
26
Honey or Sugarcane
27
Avocado
28
Bananas
29
Mangoes
30
Oranges/Citrus fruits
31
Pineapple
32
Sugarcane
33
Other fruits (specify)
34
Other vegetables (specify)
35
Grass for feed
36
Fodder for feed
37
Crop (other)
Crop (other)
Crop (other)
Crop (other)
Crop (other)
Crop Codes. Other (specify).
103
Area planted with this crop in acres
Area planted with this crop in acres
Area planted with this crop in acres
Area planted with this crop in acres
Area planted with this crop in acres
Area under each crop in acres
3131
3
99
3.634
16.553
Main seed variety used
Main seed variety used
Main seed variety used
Main seed variety used
Main seed variety used
What main seed variety did you use ?
3128
6
1
99
17.557
31.536
1
Local Variety
2
513
3
514
4
614
5
628
6
629
7
9401
8
“improved” but do not know variety
9
Other (specify)
10
98
99
Sysmiss
Main seed variety used (other)
Main seed variety used (other)
Main seed variety used (other)
Main seed variety used (other)
Main seed variety used (other)
What main seed variety did you use ? Other (specify).
407
Source of seed
Source of seed
Source of seed
Source of seed
Source of seed
What was the source of most of the seed ?
3128
6
1
Private Retailer
2
Seed Company
3
NGOs
4
Government
5
Friend/Relative
6
Own harvest
8
Other (specify)
9
Sysmiss
Source of seed (other)
Source of seed (other)
Source of seed (other)
Source of seed (other)
Source of seed (other)
What was the source of most of the seed ? Other (specify).
5
Harvest enough to provide for hh?
Harvest enough to provide for hh?
Harvest enough to provide for hh?
Harvest enough to provide for hh?
Harvest enough to provide for hh?
Was your harvest of [Crop] sufficient to provide for your household until the next harvest ?
3130
4
1
Yes
2
No
3
N/A
8
9
Sysmiss
Quantity of crop hh produced in 2005 (Quantity)
Quantity of crop hh produced in 2005 (Quantity)
Quantity of crop hh produced in 2005 (Quantity)
Quantity of crop hh produced in 2005 (Quantity)
Quantity of crop hh produced in 2005 (Quantity)
How much quantity of [Crop] did your household produce (or harvest?) (for sale and for home consumption) last year? Quantity.
Do not include crop outputs from the long and short rains seasons of 2004.
3129
5
9999
140.263
505.9
Quantity of crop hh produced in 2005 (Crop unit code)
Quantity of crop hh produced in 2005 (Crop unit code)
Quantity of crop hh produced in 2005 (Crop unit code)
Quantity of crop hh produced in 2005 (Crop unit code)
Quantity of crop hh produced in 2005 (Crop unit code)
How much quantity of [Crop] did your household produce (or harvest?) (for sale and for home consumption) last year? Crop Unit Code.
Do not include crop outputs from the long and short rains seasons of 2004.
3109
25
1
99
5.03
2.795
1
Kilograms
2
Goro goros (2 Kgs.)
3
Debbes
4
Litres
5
Bunches
6
Bags/Sacks
7
Pieces
8
Tins
9
Dozens
10
Crates
98
99
Sysmiss
Quantity of crop hh sold in 2005 (Quantity)
Quantity of crop hh sold in 2005 (Quantity)
Quantity of crop hh sold in 2005 (Quantity)
Quantity of crop hh sold in 2005 (Quantity)
Quantity of crop hh sold in 2005 (Quantity)
How much quantity of [Crop] did your household sell during the long and short rains of 2005? Quantity.
Do not include crop outputs from the long and short rains seasons of 2004.
3131
3
9999
84.595
470.208
Quantity of crop hh sold in 2005 (Crop unit code)
Quantity of crop hh sold in 2005 (Crop unit code)
Quantity of crop hh sold in 2005 (Crop unit code)
Quantity of crop hh sold in 2005 (Crop unit code)
Quantity of crop hh sold in 2005 (Crop unit code)
How much quantity of [Crop] did your household sell during the long and short rains of 2005? Crop Unit Code.
Do not include crop outputs from the long and short rains seasons of 2004.
1281
1853
1
98
5.399
3.069
1
Kilograms
2
Goro goros (2 Kgs.)
3
Debbes
4
Litres
5
Bunches
6
Bags/Sacks
7
Pieces
8
Tins
9
Dozens
10
Crates
98
Sysmiss
Income hh receive from selling the quantity of crop (Amount)
Income hh receive from selling the quantity of crop (Amount)
Income hh receive from selling the quantity of crop (Amount)
Income hh receive from selling the quantity of crop (Amount)
Income hh receive from selling the quantity of crop (Amount)
How much income did your household receive from selling this quantity of [Crop]? TOTAL Amount (in KSh).
Do not include tea bonus.
3131
3
754000
7738.753
30772.245
Income hh receive from selling the quantity of crop (Unit price)
Income hh receive from selling the quantity of crop (Unit price)
Income hh receive from selling the quantity of crop (Unit price)
Income hh receive from selling the quantity of crop (Unit price)
Income hh receive from selling the quantity of crop (Unit price)
How much income did your household receive from selling this quantity of [Crop]? Unit price (in KSh).
Do not include tea bonus.
1284
1850
2
8500
781.008
785.759
Income hh receive from selling the quantity of crop (Crop unit code)
Income hh receive from selling the quantity of crop (Crop unit code)
Income hh receive from selling the quantity of crop (Crop unit code)
Income hh receive from selling the quantity of crop (Crop unit code)
Income hh receive from selling the quantity of crop (Crop unit code)
How much income did your household receive from selling this quantity of [Crop]? Crop Unit code.
Do not include tea bonus.
1281
1853
1
Kilograms
2
Goro goros (2 Kgs.)
3
Debbes
4
Litres
5
Bunches
6
Bags/Sacks
7
Pieces
8
Tins
9
Dozens
10
Crates
Sysmiss
Quantity of crop set aside for home consumption (Quantity)
Quantity of crop set aside for home consumption (Quantity)
Quantity of crop set aside for home consumption (Quantity)
Quantity of crop set aside for home consumption (Quantity)
Quantity of crop set aside for home consumption (Quantity)
How much quantity of [Crop] did you put aside for home consumption after harvest ? Quantity.
3127
7
2000
56.007
119.235
Quantity of crop set aside for home consumption (Crop unit code)
Quantity of crop set aside for home consumption (Crop unit code)
Quantity of crop set aside for home consumption (Crop unit code)
Quantity of crop set aside for home consumption (Crop unit code)
Quantity of crop set aside for home consumption (Crop unit code)
How much quantity of [Crop] did you put aside for home consumption after harvest ? Crop Unit Code.
3005
129
98
5.008
2.239
1
Kilograms
2
Goro goros (2 Kgs.)
3
Debbes
4
Litres
5
Bunches
6
Bags/Sacks
7
Pieces
8
Tins
9
Dozens
10
Crates
98
Sysmiss
Have any crop in storage
Have any crop in storage
Have any crop in storage
Have any crop in storage
Have any crop in storage
Do you have any of the [Crop] from the 2005 harvest in storage at the present?
If answer is 2 > Go to 12 (agc12 - variable name in dataset).
3127
7
1
Yes
2
No
3
Sysmiss
If were to sell the stored quantity, what is amount would get
If were to sell the stored quantity, what is amount would get
If were to sell the stored quantity, what is amount would get
If were to sell the stored quantity, what is amount would get
If were to sell the stored quantity, what is amount would get
If you were to sell this stored quantity now, what is the amount you could get?
632
2502
290000
5755.456
15705.271
Did you process any portion of the crop?
Did you process any portion of the crop?
Did you process any portion of the crop?
Did you process any portion of the crop?
Did you process any portion of the crop?
Did you process any portion of [Crop] ?
3122
12
1
No Processing
2
Cleaning/ washing
3
Shelling/ hulling
4
Drying
5
Milling, at home- pounding
6
Milling, at home- hand mill
7
Milling, commercial
8
Sysmiss
Did you process any portion of the crop? - 2
Did you process any portion of the crop? - 2
Did you process any portion of the crop? - 2
Did you process any portion of the crop? - 2
Did you process any portion of the crop? - 2
Did you process any portion of [Crop] ?
526
2608
1
No Processing
2
Cleaning/ washing
3
Shelling/ hulling
4
Drying
5
Milling, at home- pounding
6
Milling, at home- hand mill
7
Milling, commercial
Sysmiss
Did you process any portion of the crop? - 3
Did you process any portion of the crop? - 3
Did you process any portion of the crop? - 3
Did you process any portion of the crop? - 3
Did you process any portion of the crop? - 3
Did you process any portion of [Crop] ?
81
3053
1
No Processing
2
Cleaning/ washing
3
Shelling/ hulling
4
Drying
5
Milling, at home- pounding
6
Milling, at home- hand mill
7
Milling, commercial
Sysmiss
Household ID
Household ID
Household ID
Household ID
Household ID
13482
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
13482
Farm inputs
Farm inputs
Farm inputs
Farm inputs
Farm inputs
Input Number
13482
1
Hired labor
2
Seeds
3
Manure
4
Feed for livestock
5
Expenses for maintaining the health of livestock
6
Expenses for building or repairing any pens or fences for livestock
7
Fertilizer
8
Pesticides/herbicides (dawa)
9
Expenses for transporting crops
10
Expenses for transporting any farm inputs
11
Expenses for transporting livestock
12
Fuel for a tractor
13
Other expenses associated with crop production, such as the purchase of sacks, containers, storage, irrigation, renting of animal traction, renting of tractors
14
Other expenses associated with livestock production
Have used the input on shamba
Have used the input on shamba
Have used the input on shamba
Have used the input on shamba
Have used the input on shamba
I would like to ask you about different farm inputs you have used since [round 2]. In the past […] months, have you …
1 Used any hired labor on your shambas/gardens?
2 Bought any seeds?
3 Bought any manure for your shambas?
4 Bought any feed for your livestock?
5 Had any expenses for maintaining the health of your livestock (insecticide sprays, medicines, veterinary services)?
6 Had any expenses for building or repairing any pens or fences for your livestock?
7 Bought fertilizer on your shambas? (for planting, and also top-dressing)
8 Bought pesticides/herbicides (dawa) for your shambas?
9 Had expenses for transporting crops?
10 Had any expenses for transporting any farm inputs?
11 Had any expenses for transporting livestock?
12 Bought any fuel for a tractor?
13 Had any other expenses associated with crop production, such as the purchase of sacks, containers, storage, irrigation, renting of animal traction, renting of tractors?
14 Had any other expenses associated with livestock production?
12741
741
1
Yes
2
No
3
8
Sysmiss
Amount spent in 2005
Amount spent in 2005
Amount spent in 2005
Amount spent in 2005
Amount spent in 2005
How much did you spend on [INPUT] in 2005 (include long and short rains)?
4763
8719
186000
3605.17
7197.984
Main Transaction in 2005
Main Transaction in 2005
Main Transaction in 2005
Main Transaction in 2005
Main Transaction in 2005
What main transaction did you use to obtain this input in 2005?
4708
8774
1
Cash Purchase
2
Loan
3
Barter
4
Grant/gift/free
5
Own harvest
9
Sysmiss
Amount spent in 2006
Amount spent in 2006
Amount spent in 2006
Amount spent in 2006
Amount spent in 2006
How much did you spend (do you plan to spend) on [INPUT] in 2006 (include long and short rains)?
4615
8867
186000
3790.943
7329.704
Main Transaction in 2006
Main Transaction in 2006
Main Transaction in 2006
Main Transaction in 2006
Main Transaction in 2006
What main transaction did you use to obtain this input in 2006?
4497
8985
1
Cash Purchase
2
Loan
3
Barter
4
Grant/gift/free
5
Own harvest
Sysmiss
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
317
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
317
Line number
Line number
Line number
Line number
Line number
Person Number
317
IRID Code of person who helped
IRID Code of person who helped
IRID Code of person who helped
IRID Code of person who helped
IRID Code of person who helped
IRID Code or person who helped
317
Days person worked
Days person worked
Days person worked
Days person worked
Days person worked
In 2005, for how many days did this person work on your shambas/gardens?
317
1
30
3.385
3.128
Activity this person did on shamba
Activity this person did on shamba
Activity this person did on shamba
Activity this person did on shamba
Activity this person did on shamba
What activity did this person do on your shamba?
317
1
Planting
2
Weeding
3
Harvesting
4
Plowing
5
Shelling
6
Other (specify)
Activity this person did on shamba (Other)
Activity this person did on shamba (Other)
Activity this person did on shamba (Other)
Activity this person did on shamba (Other)
Activity this person did on shamba (Other)
What activity did this person do on your shamba? Other (specify).
12
Worked for this person in return
Worked for this person in return
Worked for this person in return
Worked for this person in return
Worked for this person in return
Did you work for this person in return for his/her work on your shambas/garden?
If answer is 2 > End.
317
1
Yes
2
No
Days worked for this person
Days worked for this person
Days worked for this person
Days worked for this person
Days worked for this person
In 2005, for how many days did you work on this person's shamba/garden?
178
139
1
98
6.32
17.374
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
2401
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
2401
Line Number
Line Number
Line Number
Line Number
Line Number
2401
Livestock Code
Livestock Code
Livestock Code
Livestock Code
Livestock Code
Livestock Codes.
2401
1
Cattle (including cows)
2
Calves
3
Goats
4
Sheep
5
Pigs
6
Chickens
7
Other animals (specify)
Livestock Code (other)
Livestock Code (other)
Livestock Code (other)
Livestock Code (other)
Livestock Code (other)
Livestock Codes. Other (specify).
1
Number Owned 2005
Number Owned 2005
Number Owned 2005
Number Owned 2005
Number Owned 2005
Number owned at start of 2005
2401
99
5.927
7.366
Did livestock feed or graze
Did livestock feed or graze
Did livestock feed or graze
Did livestock feed or graze
Did livestock feed or graze
Were the [Livestock] fed or did they graze ?
If answer is 2 > Go to 5 (agf5 - variable name in dataset).
2395
6
1
Fed
2
Graze
3
Both
4
Other (specify)
8
Sysmiss
Did livestock feed or graze (other)
Did livestock feed or graze (other)
Did livestock feed or graze (other)
Did livestock feed or graze (other)
Did livestock feed or graze (other)
Were the [Livestock] fed or did they graze ? Other (specify).
12
If fed, how did you get the food
If fed, how did you get the food
If fed, how did you get the food
If fed, how did you get the food
If fed, how did you get the food
If [Livestock] were fed, how did you get the food ?
1019
1382
1
Cultivated
2
Gathered
3
Purchased
4
Free/ gift
5
Other (specify)
8
Sysmiss
If fed, how did you get the food (other)
If fed, how did you get the food (other)
If fed, how did you get the food (other)
If fed, how did you get the food (other)
If fed, how did you get the food (other)
If [Livestock] were fed, how did you get the food ? Other (specify).
If grazed, where did they graze
If grazed, where did they graze
If grazed, where did they graze
If grazed, where did they graze
If grazed, where did they graze
If [Livestock] grazed, where did they graze ?
1848
553
1
Own land
2
Communally owned land
3
Public land
4
5
8
9
Sysmiss
If grazed, where did they graze (other)
If grazed, where did they graze (other)
If grazed, where did they graze (other)
If grazed, where did they graze (other)
If grazed, where did they graze (other)
If [Livestock] grazed, where did they graze ? Other (specify).
2
2399
Did you collect/store waste
Did you collect/store waste
Did you collect/store waste
Did you collect/store waste
Did you collect/store waste
Did you store/collect manure or other wastes from [Livestock]?
If answer is 2 > Go to 8 (agf8 - variable name in dataset).
2396
5
1
Yes
2
No
4
8
Sysmiss
Where did you store wastes
Where did you store wastes
Where did you store wastes
Where did you store wastes
Where did you store wastes
Where did you store the manure/waste that was collected from [Livestock] ?
1750
651
1
No storage
2
Open pit
3
Closed container
4
In the field
5
Compost bin
6
Slurry pit
7
8
9
Sysmiss
Where did you store wastes (other)
Where did you store wastes (other)
Where did you store wastes (other)
Where did you store wastes (other)
Where did you store wastes (other)
Where did you store the manure/waste that was collected from [Livestock] ? Other (specify).
194
Do you de-worm
Do you de-worm
Do you de-worm
Do you de-worm
Do you de-worm
Do you de-worm the [Livestock]?
2396
5
1
Yes
2
No
8
9
Sysmiss
Household ID
Household ID
Household ID
Household ID
Household ID
2889
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
2889
Year
Year
Year
Year
Year
In [year], …
2889
1
2004
2
2005
3
2006
Visited by extension worker - 2004
Visited by extension worker - 2004
Visited by extension worker - 2004
Visited by extension worker - 2004
Visited by extension worker - 2004
…were you visited by or did you speak with an agricultural extension worker?
2781
108
1
Yes
2
No
3
8
9
Sysmiss
Borrowed money or obtained loan - 2004
Borrowed money or obtained loan - 2004
Borrowed money or obtained loan - 2004
Borrowed money or obtained loan - 2004
Borrowed money or obtained loan - 2004
… did your household borrow money or obtain a loan (cash or in-kind) from an individual or company to support agricultural production?
If answer is 2 > End.
2779
110
1
Yes
2
No
3
8
9
Sysmiss
Source of loan - 2004
Source of loan - 2004
Source of loan - 2004
Source of loan - 2004
Source of loan - 2004
If yes, what was the source of the largest loan?
129
2760
1
Government
2
Commercial bank
3
Local private trader
4
Local money lender
5
Friend/relative
6
Microcredit organization
7
Other(specify)
8
Sysmiss
How did you repay - 2004
How did you repay - 2004
How did you repay - 2004
How did you repay - 2004
How did you repay - 2004
If yes, how did you repay the credit for most of the largest loan?
126
2763
1
Paid cash
2
Deducted from crop sales
3
Paid in-kind
4
Not yet repaid
8
Sysmiss
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
5778
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
5778
Practice
Practice
Practice
Practice
Practice
Practice Number
5778
1
Choice of crops
2
Choice of seed varieties
3
How feed livestock
4
Amount of labor hired to work on farm
5
Amount of labor wage income derived by the household
6
Other agricultural practice
Line Number
Line Number
Line Number
Line Number
Line Number
5778
Change in practice
Change in practice
Change in practice
Change in practice
Change in practice
I would like to ask you about changes in your farming practices. In the past year, has there been a change in…
1 … your choice of crops?
2 … your choice of seed varieties?
3 … how you feed your livestock?
4 … the amount of labor that you hire to work on your farm?
5 … the amount of labor wage income derived by this household?
6 … any other agricultural practice?
If answer is 2 > Go to next practice.
5503
275
1
Yes
2
No
3
8
Sysmiss
What changes have you made
What changes have you made
What changes have you made
What changes have you made
What changes have you made
What changes have you made?
389
5389
1
Shifted towards low input crops
2
Shifted towards high input crops (e.g., ?)
3
Household now concentrating on subsistence crops
4
Household has started growing cash crops (e.g., tea)
5
Shifted from local to “improved” variety
6
Shifted from maize variety 614 to another
7
Other change in variety
8
Change in brand or supplier
9
Shift from relying on grazing to relying on feed
10
Shift from relying on feed to relying on grazing
11
Household no longer buys feed
12
Household no longer gathers grass for feed
13
Other (Specify)
14
Household engaged in labour exchange
15
Household has stopped labor exchange
16
Household hires more labor
17
Household hires less labor
18
Household relies more on wage labor
19
Household relies less on wage labor
20
Other
Sysmiss
What changes have you made (other)
What changes have you made (other)
What changes have you made (other)
What changes have you made (other)
What changes have you made (other)
What changes have you made? Other (specify).
256
Reason(s) for change
Reason(s) for change
Reason(s) for change
Reason(s) for change
Reason(s) for change
What was (were) the reason(s) for the change?
476
5302
1
Reduced labor force
2
Increase in own labor (e.g., health improvement)
3
Increase in household labor (own children, adoption, fosterage)
4
Increase in hired labor
5
Increase in donated/exchanged labor from another household
6
Increase in productive assets
7
Loss of productive assets
8
Improved wealth status
9
Decline in wealth status
10
Received institutional support
11
Lost access to institutional support
12
Acquired more land
13
Lost access to some crop land
14
Lost access to some grazing land
15
Able to access credit
16
Lost access to credit
17
Advice from agricultural extension worker
18
98
Sysmiss
Reason for change (other)
Reason for change (other)
Reason for change (other)
Reason for change (other)
Reason for change (other)
What was (were) the reason(s) for the change? Other (specify).
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
798
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
798
Anthropometric Module done
Anthropometric Module done
Anthropometric Module done
Anthropometric Module done
Anthropometric Module done
798
1
Yes
2
No
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
798
Day of interview
Day of interview
Day of interview
Day of interview
Day of interview
Date of Interview. Day.
798
Month of interview
Month of interview
Month of interview
Month of interview
Month of interview
Date of Interview. Month.
798
Year of interview
Year of interview
Year of interview
Year of interview
Year of interview
Date of Interview. Year.
798
Number of children 7 yrs and under
Number of children 7 yrs and under
Number of children 7 yrs and under
Number of children 7 yrs and under
Number of children 7 yrs and under
798
1
5
2.128
0.934
Number of children 12 yrs and under
Number of children 12 yrs and under
Number of children 12 yrs and under
Number of children 12 yrs and under
Number of children 12 yrs and under
798
7
0.654
0.797
Count of Section C
Count of Section C
Count of Section C
Count of Section C
Count of Section C
798
31
3.04
4.652
Column number
Column number
Column number
Column number
Column number
First, refer to the household roster (both Section 1 from round 1 and Section 3 from round 2) and copy the ID codes of all children who are currently household members and were 5 years or younger in round 1. Weigh children with as little clothing as possible.
798
Code of child - Anthropomentric
Code of child - Anthropomentric
Code of child - Anthropomentric
Code of child - Anthropomentric
Code of child - Anthropomentric
ID CODE
All children who are currently household members and are 7 years or younger and all primary respondents (household head, spouse, and interviewed youth).
798
Name of child - Anthropometrics
Name of child - Anthropometrics
Name of child - Anthropometrics
Name of child - Anthropometrics
Name of child - Anthropometrics
Copy the NAME of the household member from the Household Roster, matching the name to ID code.
All children who are currently household members and are 7 years or younger and all primary respondents (household head, spouse, and interviewed youth).
Child measured
Child measured
Child measured
Child measured
Child measured
Was this person measured?
If answer is 2 > Go to 7 (ant07 - variable name in dataset).
All children who are currently household members and are 7 years or younger and all primary respondents (household head, spouse, and interviewed youth).
797
1
1
Yes
2
No
8
Sysmiss
Day measured
Day measured
Day measured
Day measured
Day measured
Date of Measurement (DAY/MONTH/YEAR). Day.
All children who are currently household members and are 7 years or younger and all primary respondents (household head, spouse, and interviewed youth).
637
161
Month measured
Month measured
Month measured
Month measured
Month measured
Date of Measurement (DAY/MONTH/YEAR). Month.
All children who are currently household members and are 7 years or younger and all primary respondents (household head, spouse, and interviewed youth).
637
161
Year measured
Year measured
Year measured
Year measured
Year measured
Date of Measurement (DAY/MONTH/YEAR). Year.
All children who are currently household members and are 7 years or younger and all primary respondents (household head, spouse, and interviewed youth).
637
161
Weight (KG)
Weight (KG)
Weight (KG)
Weight (KG)
Weight (KG)
WEIGHT (Kg)
All children who are currently household members and are 7 years or younger and all primary respondents (household head, spouse, and interviewed youth).
637
161
2
99
14.446
7.973
Amount of clothing
Amount of clothing
Amount of clothing
Amount of clothing
Amount of clothing
Amount of clothing worn by child.
All children who are currently household members and are 7 years or younger and all primary respondents (household head, spouse, and interviewed youth).
635
163
1
More than normal
2
Normal
3
Removed some clothing
Sysmiss
Height or Length (cm)
Height or Length (cm)
Height or Length (cm)
Height or Length (cm)
Height or Length (cm)
HEIGHT or LENGTH (cm)
Go to next child.
All children who are currently household members and are 7 years or younger and all primary respondents (household head, spouse, and interviewed youth).
634
164
14
135
95.412
18.821
Reason not measured
Reason not measured
Reason not measured
Reason not measured
Reason not measured
Reason not measured?
All children who are currently household members and are 7 years or younger and all primary respondents (household head, spouse, and interviewed youth).
160
638
1
At school
2
At work
3
Boarding/traveling
4
Serious Illness
5
Refusal
6
Other
7
In-clinic interview
8
Sysmiss
798
3
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
265
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
265
Anthropometric Module done
Anthropometric Module done
Anthropometric Module done
Anthropometric Module done
Anthropometric Module done
265
1
Yes
2
No
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
265
Day of interview
Day of interview
Day of interview
Day of interview
Day of interview
Date of Interview. Day.
265
Month of interview
Month of interview
Month of interview
Month of interview
Month of interview
Date of Interview. Month.
265
Year of interview
Year of interview
Year of interview
Year of interview
Year of interview
Date of Interview. Year.
265
Number of children 7 yrs and under
Number of children 7 yrs and under
Number of children 7 yrs and under
Number of children 7 yrs and under
Number of children 7 yrs and under
265
5
1.97
1.073
Number of children 12 yrs and under
Number of children 12 yrs and under
Number of children 12 yrs and under
Number of children 12 yrs and under
Number of children 12 yrs and under
265
1
7
1.408
1.052
Count of Section C
Count of Section C
Count of Section C
Count of Section C
Count of Section C
265
31
5.713
5.856
Column number
Column number
Column number
Column number
Column number
* Copy the ID codes of all children that are new household members and are 12 years or younger.
* Also copy ID codes of all children from household roster Section 1 who were less than 12 months old in round 1.
265
Sysmiss
ID code
ID code
ID code
ID code
ID code
ID CODE of child
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
265
Have a vaccination card
Have a vaccination card
Have a vaccination card
Have a vaccination card
Have a vaccination card
Does [Name] have a vaccination card?
If YES: May I please see it?
If answer is 2 > Go to 12 (ant12 - variable name in dataset).
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
265
1
Yes
2
No
9
Where received most vaccinations
Where received most vaccinations
Where received most vaccinations
Where received most vaccinations
Where received most vaccinations
Where did [Name] receive most of the vaccinations?
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
175
90
1
99
7.229
18.642
BCG vaccination - Day
BCG vaccination - Day
BCG vaccination - Day
BCG vaccination - Day
BCG vaccination - Day
BCG. Day.
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
165
100
1
31
15.085
8.824
1
2
3
4
5
6
7
8
9
10
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
Sysmiss
BCG vaccination - Month
BCG vaccination - Month
BCG vaccination - Month
BCG vaccination - Month
BCG vaccination - Month
BCG. Month.
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
165
100
1
2
3
4
5
6
7
8
9
10
11
12
Sysmiss
BCG vaccination - Year
BCG vaccination - Year
BCG vaccination - Year
BCG vaccination - Year
BCG vaccination - Year
BCG. Year.
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
165
100
1994
2002
2003
2004
2005
2006
Sysmiss
Polio 0 vaccination - Day
Polio 0 vaccination - Day
Polio 0 vaccination - Day
Polio 0 vaccination - Day
Polio 0 vaccination - Day
Polio 0 (at birth). Day.
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
133
132
1
98
25.549
28.088
1
2
3
4
5
6
7
8
9
10
12
13
14
15
16
17
18
19
20
22
23
24
25
26
27
28
29
30
31
98
Sysmiss
Polio 0 vaccination - Month
Polio 0 vaccination - Month
Polio 0 vaccination - Month
Polio 0 vaccination - Month
Polio 0 vaccination - Month
Polio 0 (at birth). Month.
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
133
132
1
98
16.932
30.269
1
2
3
4
5
6
7
8
9
10
11
12
98
Sysmiss
Polio 0 vaccination - Year
Polio 0 vaccination - Year
Polio 0 vaccination - Year
Polio 0 vaccination - Year
Polio 0 vaccination - Year
Polio 0 (at birth). Year.
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
132
133
1994
9998
2912.932
2546.526
1994
2002
2003
2004
2005
2006
9998
Sysmiss
Polio 1 vaccination - Day
Polio 1 vaccination - Day
Polio 1 vaccination - Day
Polio 1 vaccination - Day
Polio 1 vaccination - Day
Polio 1. Day.
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
167
98
1
98
17.389
14.131
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
98
Sysmiss
Polio 1 vaccination - Month
Polio 1 vaccination - Month
Polio 1 vaccination - Month
Polio 1 vaccination - Month
Polio 1 vaccination - Month
Polio 1. Month.
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
167
98
1
98
8.323
12.592
1
2
3
4
5
6
7
8
9
10
11
12
98
Sysmiss
Polio 1 vaccination - Year
Polio 1 vaccination - Year
Polio 1 vaccination - Year
Polio 1 vaccination - Year
Polio 1 vaccination - Year
Polio 1. Year.
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
167
98
1994
9998
2148.204
1064.882
1994
2002
2003
2004
2005
2006
9998
Sysmiss
Polio 2 vaccination - Day
Polio 2 vaccination - Day
Polio 2 vaccination - Day
Polio 2 vaccination - Day
Polio 2 vaccination - Day
Polio 2. Day.
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
160
105
1
31
15.413
9.376
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
Sysmiss
Polio 2 vaccination - Month
Polio 2 vaccination - Month
Polio 2 vaccination - Month
Polio 2 vaccination - Month
Polio 2 vaccination - Month
Polio 2. Month.
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
160
105
1
2
3
4
5
6
7
8
9
10
11
12
Sysmiss
Polio 2 vaccination - Year
Polio 2 vaccination - Year
Polio 2 vaccination - Year
Polio 2 vaccination - Year
Polio 2 vaccination - Year
Polio 2. Year.
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
160
105
1994
2002
2003
2004
2005
2006
Sysmiss
Polio 3 vaccination - Day
Polio 3 vaccination - Day
Polio 3 vaccination - Day
Polio 3 vaccination - Day
Polio 3 vaccination - Day
Polio 3. Day.
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
150
115
1
98
17.847
17.46
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
24
25
26
27
28
29
30
31
98
Sysmiss
Polio 3 vaccination - Month
Polio 3 vaccination - Month
Polio 3 vaccination - Month
Polio 3 vaccination - Month
Polio 3 vaccination - Month
Polio 3. Month.
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
150
115
1
98
10.507
18.267
1
2
3
4
5
6
7
8
9
10
11
12
98
Sysmiss
Polio 3 vaccination - Year
Polio 3 vaccination - Year
Polio 3 vaccination - Year
Polio 3 vaccination - Year
Polio 3 vaccination - Year
Polio 3. Year.
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
150
115
1994
9998
2324.48
1571.599
1994
2002
2003
2004
2005
2006
9998
Sysmiss
DPT 1/Pentavalent 1 vaccination - Day
DPT 1/Pentavalent 1 vaccination - Day
DPT 1/Pentavalent 1 vaccination - Day
DPT 1/Pentavalent 1 vaccination - Day
DPT 1/Pentavalent 1 vaccination - Day
DPT 1. Day.
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
167
98
1
31
16.401
9.009
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
Sysmiss
DPT 1/Pentavalent 1 vaccination - Month
DPT 1/Pentavalent 1 vaccination - Month
DPT 1/Pentavalent 1 vaccination - Month
DPT 1/Pentavalent 1 vaccination - Month
DPT 1/Pentavalent 1 vaccination - Month
DPT 1. Month.
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
167
98
1
2
3
4
5
6
7
8
9
10
11
12
Sysmiss
DPT 1/Pentavalent 1 vaccination - Year
DPT 1/Pentavalent 1 vaccination - Year
DPT 1/Pentavalent 1 vaccination - Year
DPT 1/Pentavalent 1 vaccination - Year
DPT 1/Pentavalent 1 vaccination - Year
DPT 1. Year.
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
167
98
1994
2002
2003
2004
2005
2006
Sysmiss
DPT 2/Pentavalent 2 vaccination - Day
DPT 2/Pentavalent 2 vaccination - Day
DPT 2/Pentavalent 2 vaccination - Day
DPT 2/Pentavalent 2 vaccination - Day
DPT 2/Pentavalent 2 vaccination - Day
DPT 2. Day.
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
160
105
1
31
16.05
9.285
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
Sysmiss
DPT 2/Pentavalent 2 vaccination - Month
DPT 2/Pentavalent 2 vaccination - Month
DPT 2/Pentavalent 2 vaccination - Month
DPT 2/Pentavalent 2 vaccination - Month
DPT 2/Pentavalent 2 vaccination - Month
DPT 2. Month.
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
160
105
1
2
3
4
5
6
7
8
9
10
11
12
Sysmiss
DPT 2/Pentavalent 2 vaccination - Year
DPT 2/Pentavalent 2 vaccination - Year
DPT 2/Pentavalent 2 vaccination - Year
DPT 2/Pentavalent 2 vaccination - Year
DPT 2/Pentavalent 2 vaccination - Year
DPT 2. Year.
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
160
105
1994
2002
2003
2004
2005
2006
Sysmiss
DPT 3/Pentavalent 3 vaccination - Day
DPT 3/Pentavalent 3 vaccination - Day
DPT 3/Pentavalent 3 vaccination - Day
DPT 3/Pentavalent 3 vaccination - Day
DPT 3/Pentavalent 3 vaccination - Day
DPT 3. Day.
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
154
111
1
98
16.519
12.903
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
98
Sysmiss
DPT 3/Pentavalent 3 vaccination - Month
DPT 3/Pentavalent 3 vaccination - Month
DPT 3/Pentavalent 3 vaccination - Month
DPT 3/Pentavalent 3 vaccination - Month
DPT 3/Pentavalent 3 vaccination - Month
DPT 3. Month.
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
154
111
1
98
7.948
10.896
1
2
3
4
5
6
7
8
9
10
11
12
98
Sysmiss
DPT 3/Pentavalent 3 vaccination - Year
DPT 3/Pentavalent 3 vaccination - Year
DPT 3/Pentavalent 3 vaccination - Year
DPT 3/Pentavalent 3 vaccination - Year
DPT 3/Pentavalent 3 vaccination - Year
DPT 3. Year.
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
154
111
1994
9998
2108.506
907.94
1994
2002
2003
2004
2005
2006
9998
Sysmiss
Measles vaccination - Day
Measles vaccination - Day
Measles vaccination - Day
Measles vaccination - Day
Measles vaccination - Day
Measles. Day.
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
132
133
1
98
25.197
28.323
1
2
3
4
5
6
8
9
10
11
12
13
14
15
16
17
18
20
21
22
23
24
25
26
27
28
29
30
31
98
Sysmiss
Measles vaccination - Month
Measles vaccination - Month
Measles vaccination - Month
Measles vaccination - Month
Measles vaccination - Month
Measles. Month.
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
132
133
1
98
16.841
30.42
1
2
3
4
5
6
7
8
9
10
11
12
98
Sysmiss
Measles vaccination - Year
Measles vaccination - Year
Measles vaccination - Year
Measles vaccination - Year
Measles vaccination - Year
Measles. Year.
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
132
133
2002
9998
2973.902
2618.623
2002
2003
2004
2005
2006
9998
Sysmiss
Receive any vaccination
Receive any vaccination
Receive any vaccination
Receive any vaccination
Receive any vaccination
Did [Name] ever receive any vaccinations to prevent him/her from getting diseases?
If answer is 2 > Go to 21 (ant21 - variable name in dataset).
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
115
150
1
Yes
2
No
8
9
Sysmiss
Where received most vaccinations
Where received most vaccinations
Where received most vaccinations
Where received most vaccinations
Where received most vaccinations
Where did [Name] receive most of the vaccinations?
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
110
155
1
99
7.782
19.984
Received BCG vaccine
Received BCG vaccine
Received BCG vaccine
Received BCG vaccine
Received BCG vaccine
A BCG vaccine against tuberculosis, that is, an injection in the left arm that caused a scar?
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
111
154
1
99
5.45
20.411
1
Yes
2
No
99
Don’t Know
Received Polio vaccine
Received Polio vaccine
Received Polio vaccine
Received Polio vaccine
Received Polio vaccine
Polio vaccine, that is, drops in the mouth?
If answer is 2 or 99 > Go to 18 (ant18 - variable name in dataset).
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
146
119
1
99
4.37
17.882
1
Yes
2
No
99
Don’t Know
How many times received polio vaccine
How many times received polio vaccine
How many times received polio vaccine
How many times received polio vaccine
How many times received polio vaccine
How many times?
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
139
126
1
99
5.871
16.067
When was the first polio vaccine given
When was the first polio vaccine given
When was the first polio vaccine given
When was the first polio vaccine given
When was the first polio vaccine given
When was the first vaccine given, just after birth or later?
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
134
131
1
Just after birth
2
Later
9
Sysmiss
Received DPT vaccine
Received DPT vaccine
Received DPT vaccine
Received DPT vaccine
Received DPT vaccine
DPT vaccination, that is, an injection usually given the same time as polio drops?
If answer is 2 or 99 > Go to 20 (ant20 - variable name in dataset).
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
121
144
1
99
8.322
25.781
1
Yes
2
No
99
Don’t Know
How many times received DPT vaccine
How many times received DPT vaccine
How many times received DPT vaccine
How many times received DPT vaccine
How many times received DPT vaccine
How many times?
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
108
157
99
5.417
15.847
Received an injection to prevent measles
Received an injection to prevent measles
Received an injection to prevent measles
Received an injection to prevent measles
Received an injection to prevent measles
An injection to prevent measles?
Go to next person.
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
140
125
1
99
5.521
19.857
1
Yes
2
No
99
Don’t Know
Why not received vaccinations
Why not received vaccinations
Why not received vaccinations
Why not received vaccinations
Why not received vaccinations
Why did [Name] not receive vaccinations?
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
3
262
1
Clinic too far away /difficult to get to
2
Child or parent was sick
3
Vaccine out of stock
4
Forgot to take child
5
Don’t believe vaccine is effective
6
Don’t know about the vaccine
7
Other (specify)
Sysmiss
Why not received vaccinations (other)
Why not received vaccinations (other)
Why not received vaccinations (other)
Why not received vaccinations (other)
Why not received vaccinations (other)
Why did [Name] not receive vaccinations? Other (specify).
All children that are new household members and are 12 years or younger, and all children who were less than 12 months old in Round 2.
2
CHILD ONE MONTH OLD
YET TO GO TO CLINIC
265
3
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
1120
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
1120
1
2
3
4
Anthropometric Module done
Anthropometric Module done
Anthropometric Module done
Anthropometric Module done
Anthropometric Module done
1120
1
Yes
2
No
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
1120
1
2
3
4
Day of interview
Day of interview
Day of interview
Day of interview
Day of interview
Date of Interview. Day.
1120
Month of interview
Month of interview
Month of interview
Month of interview
Month of interview
Date of Interview. Month.
1120
Year of interview
Year of interview
Year of interview
Year of interview
Year of interview
Date of Interview. Year.
1120
Number of children 7 yrs and under
Number of children 7 yrs and under
Number of children 7 yrs and under
Number of children 7 yrs and under
Number of children 7 yrs and under
1120
4
2.166
0.919
Number of children 12 yrs and under
Number of children 12 yrs and under
Number of children 12 yrs and under
Number of children 12 yrs and under
Number of children 12 yrs and under
1120
1
7
1.352
0.9
Count of Section C
Count of Section C
Count of Section C
Count of Section C
Count of Section C
1120
1
31
9.611
5.606
Line number
Line number
Line number
Line number
Line number
ID Code
1120
Sysmiss
ID code
ID code
ID code
ID code
ID code
ID Code
1120
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
20
21
Age in months
Age in months
Age in months
Age in months
Age in months
Age in months.
1120
26
5.33
3.489
Weight in KG
Weight in KG
Weight in KG
Weight in KG
Weight in KG
Weight (kg)
1114
6
2
99
6.324
5.132
1120
3
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
964
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
964
Assets module
Assets module
Assets module
Assets module
Assets module
964
1
Yes
2
No
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
964
Day of interview
Day of interview
Day of interview
Day of interview
Day of interview
Date of Interview. Day.
964
Month of interview
Month of interview
Month of interview
Month of interview
Month of interview
Date of Interview. Month.
964
Year of interview
Year of interview
Year of interview
Year of interview
Year of interview
Date of Interview. Year.
964
Round 2 day of interveiw
Round 2 day of interveiw
Round 2 day of interveiw
Round 2 day of interveiw
Round 2 day of interveiw
Date of Round 2 interview. Day.
962
2
Round 2 month of interview
Round 2 month of interview
Round 2 month of interview
Round 2 month of interview
Round 2 month of interview
Date of Round 2 interview. Month.
962
2
Round 2 year of interview
Round 2 year of interview
Round 2 year of interview
Round 2 year of interview
Round 2 year of interview
Date of Round 2 interview. Year.
962
2
Total Land Quantity
Total Land Quantity
Total Land Quantity
Total Land Quantity
Total Land Quantity
How much total land (including plots) do you and members of your household own now? Quantity.
Don't include expected inheritances.
If answer is 0 > Go to 7 (ass07 - variable name in dataset).
961
3
300
7.042
15.969
Total Land - Unit
Total Land - Unit
Total Land - Unit
Total Land - Unit
Total Land - Unit
How much total land (including plots) do you and members of your household own now? Land Unit Code.
Don't include expected inheritances.
822
142
1
acres
2
hectares
3
square-meters
4
square-feet
Sysmiss
Total Value of Land (KSH)
Total Value of Land (KSH)
Total Value of Land (KSH)
Total Value of Land (KSH)
Total Value of Land (KSH)
How much total land (including plots) do you and members of your household own now? Total value if sold today, excluding value of any dwellings and including value of planted trees.
Don't include expected inheritances.
824
140
99
59000011
1061738.618
2768836.975
Has anyone sold land since Round 2
Has anyone sold land since Round 2
Has anyone sold land since Round 2
Has anyone sold land since Round 2
Has anyone sold land since Round 2
Have you or anyone in your household sold any land since [Round 2]?
If answer is 2 > Go to section I-b (Land Purchases/Acquisitions)(ass16 - variable name in dataset).
963
1
1
Yes
2
No
Sysmiss
Count of land sales
Count of land sales
Count of land sales
Count of land sales
Count of land sales
45
919
1
1
1
Count of land purchases
Count of land purchases
Count of land purchases
Count of land purchases
Count of land purchases
75
889
1
2
1.04
0.197
_merge representing assets1
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_merge representing assets1
_merge representing assets1
964
1
_merge representing assets1a
_merge representing assets1a
_merge representing assets1a
_merge representing assets1a
_merge representing assets1a
964
1
Have purchased or acquired land since Round 2
Have purchased or acquired land since Round 2
Have purchased or acquired land since Round 2
Have purchased or acquired land since Round 2
Have purchased or acquired land since Round 2
Have you or anyone in your household purchased or acquired any land since [Round 2]?
If answer is 2 > Go to section II (assets_2 - name of dataset).
964
1
Yes
2
No
_merge representing assets1b1
_merge representing assets1b1
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_merge representing assets1b1
964
1
_merge representing assets1b2
_merge representing assets1b2
_merge representing assets1b2
_merge representing assets1b2
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964
1
964
3
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
47
426
2241
4075
7910
8037
8925
9806
13303
13665
14865
15588
15729
19752
22217
23673
29728
38098
38420
46255
46869
53851
54176
55080
57410
57672
58157
58858
60950
64067
67978
69132
70575
71828
73274
73446
76246
76913
81796
85151
86161
86328
86941
87800
87860
93932
97319
99011
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
47
1
2
3
Line number
Line number
Line number
Line number
Line number
47
1
Unit
Unit
Unit
Unit
Unit
47
Sysmiss
Month of the sale
Month of the sale
Month of the sale
Month of the sale
Month of the sale
When was this sale made? Month.
47
1
2
3
4
5
6
7
8
9
10
11
12
Year of the sale
Year of the sale
Year of the sale
Year of the sale
Year of the sale
When was this sale made? Year.
47
2004
2005
2006
How much land sold - Quantity
How much land sold - Quantity
How much land sold - Quantity
How much land sold - Quantity
How much land sold - Quantity
How much land did you sell how much money was it sold for? Land Quantity.
47
1
50
9.574
12.463
How much land sold - Unit
How much land sold - Unit
How much land sold - Unit
How much land sold - Unit
How much land sold - Unit
How much land did you sell how much money was it sold for? Unit code.
47
1
Acres
2
Hectares
3
Sq. meters
4
Sq. feet
How much land sold - Total sale price
How much land sold - Total sale price
How much land sold - Total sale price
How much land sold - Total sale price
How much land sold - Total sale price
How much land did you sell how much money was it sold for? Total sale price.
47
450000
110361.702
116077.265
Money share with persons - Amount
Money share with persons - Amount
Money share with persons - Amount
Money share with persons - Amount
Money share with persons - Amount
How much of this money did you share with persons outside of the household? Amount.
41
6
25000
856.049
4168.225
Money share with persons - IRID
Money share with persons - IRID
Money share with persons - IRID
Money share with persons - IRID
Money share with persons - IRID
How much of this money did you share with persons outside of the household? IRID code.
Use IRID 98 for group.
2
Why sold the land
Why sold the land
Why sold the land
Why sold the land
Why sold the land
Why did you sell this land?
46
1
1
Health expenses
2
School fees
3
Buy/invest in a business
4
Raise money for planting season
5
Wedding or other ceremony
6
Other (specify)
Sysmiss
Why sold the land (Other)
Why sold the land (Other)
Why sold the land (Other)
Why sold the land (Other)
Why sold the land (Other)
Why did you sell this land? Other (specify).
19
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
80
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
80
Line number
Line number
Line number
Line number
Line number
80
Unit
Unit
Unit
Unit
Unit
80
Month when got the plot
Month when got the plot
Month when got the plot
Month when got the plot
Month when got the plot
When did you get this plot or piece of land? Month.
Probe for exact month.
80
Year when got the plot
Year when got the plot
Year when got the plot
Year when got the plot
Year when got the plot
When did you get this plot or piece of land? Year.
Year should be 2005 or 06.
80
How aquired the land
How aquired the land
How aquired the land
How aquired the land
How aquired the land
How did you acquire this land?
If answer is 3, 4 or 5 > Go to next purchase.
80
1
Bought with cash
2
Bought on credit
3
Gift
4
Inherited
5
Other (specify)
How aquired the land (Other)
How aquired the land (Other)
How aquired the land (Other)
How aquired the land (Other)
How aquired the land (Other)
How did you acquire this land? Other (specify).
How much land got - Quantity
How much land got - Quantity
How much land got - Quantity
How much land got - Quantity
How much land got - Quantity
How much land did you get and how much did you pay for this land? Land Qty.
78
2
5
9800
219.564
1114.749
How much land got - Unit
How much land got - Unit
How much land got - Unit
How much land got - Unit
How much land got - Unit
How much land did you get and how much did you pay for this land? Land Unit code.
78
2
1
Acres
2
Hectares
3
Sq. meters
4
Sq. feet
8
Sysmiss
How much land got - Total purchase
How much land got - Total purchase
How much land got - Total purchase
How much land got - Total purchase
How much land got - Total purchase
How much land did you get and how much did you pay for this land? Total purchase price.
76
4
400000
92178.921
98194.691
Amount that remains to be paid
Amount that remains to be paid
Amount that remains to be paid
Amount that remains to be paid
Amount that remains to be paid
How much of this amount remains to be paid? Amount in KSh.
74
6
100000
5670.243
18004.96
Anyone outside HH helped in paying
Anyone outside HH helped in paying
Anyone outside HH helped in paying
Anyone outside HH helped in paying
Anyone outside HH helped in paying
Did anyone outside of your household help you pay for this land?
If answer is 2 > Go to next purchase/acquisition.
74
6
1
Yes
2
No
Sysmiss
Who helped to pay - Amount
Who helped to pay - Amount
Who helped to pay - Amount
Who helped to pay - Amount
Who helped to pay - Amount
Who helped you pay for this land, and how much money did they give? Amt 1.
5
75
5000
200000
94400
88200.34
Who helped to pay - IRID
Who helped to pay - IRID
Who helped to pay - IRID
Who helped to pay - IRID
Who helped to pay - IRID
Who helped you pay for this land, and how much money did they give? IRID 1.
5
Who helped to pay - Amount
Who helped to pay - Amount
Who helped to pay - Amount
Who helped to pay - Amount
Who helped to pay - Amount
Who helped you pay for this land, and how much money did they give? Amt 2.
1
79
Who helped to pay - IRID
Who helped to pay - IRID
Who helped to pay - IRID
Who helped to pay - IRID
Who helped to pay - IRID
Who helped you pay for this land, and how much money did they give? IRID 2.
Have to pay them anything
Have to pay them anything
Have to pay them anything
Have to pay them anything
Have to pay them anything
Do you have to pay them anything on account of this assistance?
If answer is 2 > Go to next purchase/acquisition.
5
75
1
Yes
2
No
Sysmiss
Value of the money that have to pay
Value of the money that have to pay
Value of the money that have to pay
Value of the money that have to pay
Value of the money that have to pay
What is the value of the money and harvests that you have to pay them? Amount in KSh.
3
77
5000
100000
38333.333
53463.383
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
964
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
964
Assets module
Assets module
Assets module
Assets module
Assets module
964
1
Yes
2
No
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
964
Day of interview
Day of interview
Day of interview
Day of interview
Day of interview
Date of Interview. Day.
964
Month of interview
Month of interview
Month of interview
Month of interview
Month of interview
Date of Interview. Month.
964
Year of interview
Year of interview
Year of interview
Year of interview
Year of interview
Date of Interview. Year.
964
Round 2 day of interveiw
Round 2 day of interveiw
Round 2 day of interveiw
Round 2 day of interveiw
Round 2 day of interveiw
Date of Round 2 interview. Day.
962
2
Round 2 month of interview
Round 2 month of interview
Round 2 month of interview
Round 2 month of interview
Round 2 month of interview
Date of Round 2 interview. Month.
962
2
Round 2 year of interview
Round 2 year of interview
Round 2 year of interview
Round 2 year of interview
Round 2 year of interview
Date of Round 2 interview. Year.
962
2
Anyone sold or given as gift since Jan 2000
Anyone sold or given as gift since Jan 2000
Anyone sold or given as gift since Jan 2000
Anyone sold or given as gift since Jan 2000
Anyone sold or given as gift since Jan 2000
Have you or anyone in your household sold or given as gift any livestock since [Round 2]?
If answer is 2 > Go to section II-b (Acquisitions)(assl10 - variable name in dataset).
964
1
Yes
2
No
Count of livestock sales
Count of livestock sales
Count of livestock sales
Count of livestock sales
Count of livestock sales
474
490
1
5
1.538
0.809
_merge representing assets2
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_merge representing assets2
_merge representing assets2
964
1
_merge representing assets2a
_merge representing assets2a
_merge representing assets2a
_merge representing assets2a
_merge representing assets2a
964
1
Have purchased or aquired livestock
Have purchased or aquired livestock
Have purchased or aquired livestock
Have purchased or aquired livestock
Have purchased or aquired livestock
Have you or anyone in your household purchased or acquired any livestock since [Round 2]?
IF answer is 2 > Go to section III (assets_3 - name of dataset).
964
1
Yes
2
No
Count of livestock purchased
Count of livestock purchased
Count of livestock purchased
Count of livestock purchased
Count of livestock purchased
594
370
1
5
1.87
1.084
_merge representing assets2b1
_merge representing assets2b1
_merge representing assets2b1
_merge representing assets2b1
_merge representing assets2b1
964
1
_merge representing assets2b2
_merge representing assets2b2
_merge representing assets2b2
_merge representing assets2b2
_merge representing assets2b2
964
1
964
3
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
3856
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
3856
Livestock
Livestock
Livestock
Livestock
Livestock
LIVESTOCK
3856
1
2
3
4
Number Owned
Number Owned
Number Owned
Number Owned
Number Owned
How many [Livestock] do members of your household currently own?
3856
98
3.233
5.356
Total Value Owned
Total Value Owned
Total Value Owned
Total Value Owned
Total Value Owned
What is the total value of all the [Livestock] currently owned?
2478
1378
50
630000
21273.916
44890.42
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
729
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
729
Line Number
Line Number
Line Number
Line Number
Line Number
729
Livestock code
Livestock code
Livestock code
Livestock code
Livestock code
Livestock Code
729
1
Cattle, including cows
2
Calves
3
Goats
4
Sheep
5
Pigs
6
Chickens
7
Other animals (specify)
Livestock code (other)
Livestock code (other)
Livestock code (other)
Livestock code (other)
Livestock code (other)
Please describe each livestock sale and gift by you or someone in your household since [Round 2].
2
When was the sale - Month
When was the sale - Month
When was the sale - Month
When was the sale - Month
When was the sale - Month
When was this sale or gift? Month.
Probe for exact month.
729
When was the sale - Year
When was the sale - Year
When was the sale - Year
When was the sale - Year
When was the sale - Year
When was this sale or gift? Year.
Year should be 2005 or 06.
729
Quantity of livestock sold - Quantity
Quantity of livestock sold - Quantity
Quantity of livestock sold - Quantity
Quantity of livestock sold - Quantity
Quantity of livestock sold - Quantity
What was the quantity of [LIVESTOCK] sold and how much did you get in total? Quantity sold/gifted.
729
1
26
1.918
1.91
Quantity of livestock sold - Amount
Quantity of livestock sold - Amount
Quantity of livestock sold - Amount
Quantity of livestock sold - Amount
Quantity of livestock sold - Amount
What was the quantity of [LIVESTOCK] sold and how much did you get in total?Total sale amount.
Enter zero for price if this was a gift.
If answer is O > Go to 9 (assl09 - variable name in dataset).
725
4
160000
11995.226
14702.576
Share money with anyone outside HH
Share money with anyone outside HH
Share money with anyone outside HH
Share money with anyone outside HH
Share money with anyone outside HH
Did you share this money with anyone outside of the household?
If answer is 2 > Go to 9 (assl09 - variable name in dataset).
713
16
1
Yes
2
No
8
Sysmiss
Amount that went to someone - Amount
Amount that went to someone - Amount
Amount that went to someone - Amount
Amount that went to someone - Amount
Amount that went to someone - Amount
How much of this amount went to someone else outside of your household? Amt.
14
715
13000
4157
4384.33
Amount that went to someone - IRID
Amount that went to someone - IRID
Amount that went to someone - IRID
Amount that went to someone - IRID
Amount that went to someone - IRID
How much of this amount went to someone else outside of your household? IRID.
Use IRID 98 for group.
99 don’t know.
11
Amount that went to someone - Amount
Amount that went to someone - Amount
Amount that went to someone - Amount
Amount that went to someone - Amount
Amount that went to someone - Amount
How much of this amount went to someone else outside of your household? Amt.
729
Amount that went to someone - IRID
Amount that went to someone - IRID
Amount that went to someone - IRID
Amount that went to someone - IRID
Amount that went to someone - IRID
How much of this amount went to someone else outside of your household? IRID.
Use IRID 98 for group.
99 don’t know.
Amount that went to someone - Amount
Amount that went to someone - Amount
Amount that went to someone - Amount
Amount that went to someone - Amount
Amount that went to someone - Amount
How much of this amount went to someone else outside of your household? Amt.
729
Amount that went to someone - IRID
Amount that went to someone - IRID
Amount that went to someone - IRID
Amount that went to someone - IRID
Amount that went to someone - IRID
How much of this amount went to someone else outside of your household? IRID.
Use IRID 98 for group.
99 don’t know.
Why sold the livestock
Why sold the livestock
Why sold the livestock
Why sold the livestock
Why sold the livestock
Why did you sell this [LIVESTOCK]?
727
2
1
Health expenses
2
School fees
3
Buy/invest in a business
4
Raise money for planting season
5
Wedding or other ceremony
6
Other (specify)
8
9
Sysmiss
Why sold the livestock (Other)
Why sold the livestock (Other)
Why sold the livestock (Other)
Why sold the livestock (Other)
Why sold the livestock (Other)
Why did you sell this [LIVESTOCK]? Other (specify).
229
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
1111
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
1111
Line Number
Line Number
Line Number
Line Number
Line Number
1111
Livestock code
Livestock code
Livestock code
Livestock code
Livestock code
Please describe each livestock purchases or acquisition by you or someone in your household since [Round 2].
Livestock Code
1111
1
Cattle, including cows
2
Calves
3
Goats
4
Sheep
5
Pigs
6
Chickens
7
Other animals (specify)
Livestock code (other)
Livestock code (other)
Livestock code (other)
Livestock code (other)
Livestock code (other)
Livestock Code. Other (specify).
When was the purchase - Month
When was the purchase - Month
When was the purchase - Month
When was the purchase - Month
When was the purchase - Month
When was this acquisition? Month.
1111
When was the purchase - Year
When was the purchase - Year
When was the purchase - Year
When was the purchase - Year
When was the purchase - Year
When was this acquisition? Year.
1111
How aquired the livestock
How aquired the livestock
How aquired the livestock
How aquired the livestock
How aquired the livestock
How did you acquire this [LIVESTOCK]?
If answer is 2 or 3 > Go to next purchase.
1111
1
Bought or borrowed
2
Gift
3
Inherited
4
Other (specify)
5
Birth
How aquired the livestock (Other)
How aquired the livestock (Other)
How aquired the livestock (Other)
How aquired the livestock (Other)
How aquired the livestock (Other)
How did you acquire this [LIVESTOCK]? Other (specify).
3
Quantity of livestock purchased - Quantity
Quantity of livestock purchased - Quantity
Quantity of livestock purchased - Quantity
Quantity of livestock purchased - Quantity
Quantity of livestock purchased - Quantity
What was the quantity of [LIVESTOCK] purchased/gifted and how much did you pay in total? Quantity purchased/gifted.
1088
23
1
98
1.931
7.766
Quantity of livestock purchased - Amount
Quantity of livestock purchased - Amount
Quantity of livestock purchased - Amount
Quantity of livestock purchased - Amount
Quantity of livestock purchased - Amount
What was the quantity of [LIVESTOCK] purchased/gifted and how much did you pay in total? Total amount paid.
447
664
75000
4384.085
7304.531
Anyone outside HH help to pay - Amount
Anyone outside HH help to pay - Amount
Anyone outside HH help to pay - Amount
Anyone outside HH help to pay - Amount
Anyone outside HH help to pay - Amount
Did anyone outside of your household help you pay? Amt.
311
800
5000
32.469
335.346
Anyone outside HH help to pay - IRID
Anyone outside HH help to pay - IRID
Anyone outside HH help to pay - IRID
Anyone outside HH help to pay - IRID
Anyone outside HH help to pay - IRID
Did anyone outside of your household help you pay? IRID.
6
Anyone outside HH help to pay - Amount
Anyone outside HH help to pay - Amount
Anyone outside HH help to pay - Amount
Anyone outside HH help to pay - Amount
Anyone outside HH help to pay - Amount
Did anyone outside of your household help you pay? Amt.
1
1110
Anyone outside HH help to pay - IRID
Anyone outside HH help to pay - IRID
Anyone outside HH help to pay - IRID
Anyone outside HH help to pay - IRID
Anyone outside HH help to pay - IRID
Did anyone outside of your household help you pay? IRID.
Anyone outside HH help to pay - Amount
Anyone outside HH help to pay - Amount
Anyone outside HH help to pay - Amount
Anyone outside HH help to pay - Amount
Anyone outside HH help to pay - Amount
Did anyone outside of your household help you pay? Amt.
1111
Anyone outside HH help to pay - IRID
Anyone outside HH help to pay - IRID
Anyone outside HH help to pay - IRID
Anyone outside HH help to pay - IRID
Anyone outside HH help to pay - IRID
Did anyone outside of your household help you pay? IRID.
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
8676
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
8676
Assets module
Assets module
Assets module
Assets module
Assets module
8676
1
Yes
2
No
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
8676
Day of interview
Day of interview
Day of interview
Day of interview
Day of interview
Date of Interview. Day.
8676
Month of interview
Month of interview
Month of interview
Month of interview
Month of interview
Date of Interview. Month.
8676
Year of interview
Year of interview
Year of interview
Year of interview
Year of interview
Date of Interview. Year.
8676
Round 2 day of interveiw
Round 2 day of interveiw
Round 2 day of interveiw
Round 2 day of interveiw
Round 2 day of interveiw
Date of Round 2 interview. Day.
8658
18
Round 2 month of interview
Round 2 month of interview
Round 2 month of interview
Round 2 month of interview
Round 2 month of interview
Date of Round 2 interview. Month.
8658
18
Round 2 year of interview
Round 2 year of interview
Round 2 year of interview
Round 2 year of interview
Round 2 year of interview
Date of Round 2 interview. Year.
8658
18
Item
Item
Item
Item
Item
ITEMS
8676
How many currently own (other)
How many currently own (other)
How many currently own (other)
How many currently own (other)
How many currently own (other)
ITEMS. Other (specify).
2
How many currently own
How many currently own
How many currently own
How many currently own
How many currently own
How many [ITEMS] do members of your household currently own?
8676
13
0.817
1.299
Total value
Total value
Total value
Total value
Total value
What is the total value of all the [ITEMS] if you were to sell them today?
4027
4649
15
2500
237.758
219.364
8676
3
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
964
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
964
Assets module
Assets module
Assets module
Assets module
Assets module
964
1
Yes
2
No
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
964
Day of interview
Day of interview
Day of interview
Day of interview
Day of interview
Date of Interview. Day.
964
Month of interview
Month of interview
Month of interview
Month of interview
Month of interview
Date of Interview. Month.
964
Year of interview
Year of interview
Year of interview
Year of interview
Year of interview
Date of Interview. Year.
964
Round 2 day of interveiw
Round 2 day of interveiw
Round 2 day of interveiw
Round 2 day of interveiw
Round 2 day of interveiw
Date of Round 2 interview. Day.
962
2
Round 2 month of interview
Round 2 month of interview
Round 2 month of interview
Round 2 month of interview
Round 2 month of interview
Date of Round 2 interview. Month.
962
2
Round 2 year of interview
Round 2 year of interview
Round 2 year of interview
Round 2 year of interview
Round 2 year of interview
Date of Round 2 interview. Year.
962
2
Have sold or given as a gift farm equipments
Have sold or given as a gift farm equipments
Have sold or given as a gift farm equipments
Have sold or given as a gift farm equipments
Have sold or given as a gift farm equipments
Have you or members of your household sold or given as a gift a tractor, trailer, plough, or other such large farm equipment since [Round 2]?
If answer is 2 > Go to section IV-b (Acquisitions)(asse12 - variable name in dataset).
964
1
Yes
2
No
Count of equipment sold
Count of equipment sold
Count of equipment sold
Count of equipment sold
Count of equipment sold
8
956
1
2
1.125
0.354
_merge representing assets4
_merge representing assets4
_merge representing assets4
_merge representing assets4
_merge representing assets4
964
1
_merge representing assets4a
_merge representing assets4a
_merge representing assets4a
_merge representing assets4a
_merge representing assets4a
964
1
Have purchased tractor, trailer... since Round 2
Have purchased tractor, trailer... since Round 2
Have purchased tractor, trailer... since Round 2
Have purchased tractor, trailer... since Round 2
Have purchased tractor, trailer... since Round 2
Have you or members of your household purchased or acquired a tractor, trailer, plough, or other such large farm equipment since [Round 2]?
If answer is 2 > Go to section V (assets_5 - name of dataset).
964
1
Yes
2
No
Count of purchased equipment
Count of purchased equipment
Count of purchased equipment
Count of purchased equipment
Count of purchased equipment
12
952
1
2
1.167
0.389
_merge representing assets4b1
_merge representing assets4b1
_merge representing assets4b1
_merge representing assets4b1
_merge representing assets4b1
964
1
_merge representing assets4b2
_merge representing assets4b2
_merge representing assets4b2
_merge representing assets4b2
_merge representing assets4b2
964
1
964
3
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
9
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
9
Equipment code
Equipment code
Equipment code
Equipment code
Equipment code
Please describe each equipment sale or gift by you or someone in your household since [Round 1].
Equipment code
9
1
Tractors
2
Trailers
3
Ploughs
4
Carts
5
Other animal drawn equipment
6
Watering equipment/sprinklers
7
Wheelbarrows
8
Chain saws
9
Other equipment/implements (specify)
Equipment code (other)
Equipment code (other)
Equipment code (other)
Equipment code (other)
Equipment code (other)
Equipment code. Other (specify).
1
When was the sale - Month
When was the sale - Month
When was the sale - Month
When was the sale - Month
When was the sale - Month
When was this sale or gift? Month.
* exact month.
9
When was the sale - Year
When was the sale - Year
When was the sale - Year
When was the sale - Year
When was the sale - Year
When was this sale or gift? Year.
9
How much sold the equipment
How much sold the equipment
How much sold the equipment
How much sold the equipment
How much sold the equipment
How much did you sell this … for? Amount.
If gift, write zero.
If answer is 0 > Go to 11 (assf11 - variable name in dataset).
9
2000
750000
222000
257480.096
Share money with anyone outside HH
Share money with anyone outside HH
Share money with anyone outside HH
Share money with anyone outside HH
Share money with anyone outside HH
Did you share this money with anyone outside of the household?
If answer is 2 > Go to 11 (assf11 - variable name in dataset).
9
1
Yes
2
No
How much went to someone - Amount
How much went to someone - Amount
How much went to someone - Amount
How much went to someone - Amount
How much went to someone - Amount
How much of this amount went to someone else outside of your household? Amt.
(Ask for amount and IRID of each recipient)
2
7
1000
150000
75500
105358.91
How much went to someone - IRID
How much went to someone - IRID
How much went to someone - IRID
How much went to someone - IRID
How much went to someone - IRID
How much of this amount went to someone else outside of your household? IRID.
(Ask for amount and IRID of each recipient)
Use 98 for group, 99 Don't know
2
How much went to someone - Amount
How much went to someone - Amount
How much went to someone - Amount
How much went to someone - Amount
How much went to someone - Amount
How much of this amount went to someone else outside of your household? Amt.
(Ask for amount and IRID of each recipient)
1
8
How much went to someone - IRID
How much went to someone - IRID
How much went to someone - IRID
How much went to someone - IRID
How much went to someone - IRID
How much of this amount went to someone else outside of your household? IRID.
(Ask for amount and IRID of each recipient)
Use 98 for group, 99 Don't know
1
How much went to someone - Amount
How much went to someone - Amount
How much went to someone - Amount
How much went to someone - Amount
How much went to someone - Amount
How much of this amount went to someone else outside of your household? Amt.
(Ask for amount and IRID of each recipient)
1
8
How much went to someone - IRID
How much went to someone - IRID
How much went to someone - IRID
How much went to someone - IRID
How much went to someone - IRID
How much of this amount went to someone else outside of your household? IRID.
(Ask for amount and IRID of each recipient)
Use 98 for group, 99 Don't know
1
Why sold the equipement
Why sold the equipement
Why sold the equipement
Why sold the equipement
Why sold the equipement
Why did you sell this equipment?
9
1
Health expenses
2
School fees
3
Buy/invest in a business
4
Raise money for planting season
5
Wedding or other ceremony
6
Other (specify)
9
Why sold the equipement (Other)
Why sold the equipement (Other)
Why sold the equipement (Other)
Why sold the equipement (Other)
Why sold the equipement (Other)
Why did you sell this equipment? Other (specify).
5
Household ID
Household ID
Household ID
Household ID
Household ID
14
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
14
Equipment code
Equipment code
Equipment code
Equipment code
Equipment code
Please describe each equipment purchase or gift to you or someone in your household since [Round 1].
Equipment code
14
1
Tractors
2
Trailers
3
Ploughs
4
Carts
5
Other animal drawn equipment
6
Watering equipment/sprinklers
7
Wheelbarrows
8
Chain saws
9
Other equipment/implements (specify)
Equipment code (other)
Equipment code (other)
Equipment code (other)
Equipment code (other)
Equipment code (other)
Please describe each equipment purchase or gift to you or someone in your household since [Round 1].
Equipment code. Other (specify).
2
When was the acquisition - Month
When was the acquisition - Month
When was the acquisition - Month
When was the acquisition - Month
When was the acquisition - Month
When was this acquisition? Month.
*exact month,
14
When was the acquisition - Year
When was the acquisition - Year
When was the acquisition - Year
When was the acquisition - Year
When was the acquisition - Year
When was this acquisition? Year.
14
How aqcuired the equipment
How aqcuired the equipment
How aqcuired the equipment
How aqcuired the equipment
How aqcuired the equipment
How did you acquire this equipment?
If answer is 2 or 3 > Go to next purchase.
14
1
Bought or borrowed
2
Gift
3
Inherited
4
Other (specify)
How aqcuired the equipment (Other)
How aqcuired the equipment (Other)
How aqcuired the equipment (Other)
How aqcuired the equipment (Other)
How aqcuired the equipment (Other)
How did you acquire this equipment? Other (specify).
Quantity of equipment purchased - Quantity
Quantity of equipment purchased - Quantity
Quantity of equipment purchased - Quantity
Quantity of equipment purchased - Quantity
Quantity of equipment purchased - Quantity
What was the quantity of equipment purchased/gifted and how much did you pay in total? Quantity purchased/gifted.
14
1
1
1
Quantity of equipment purchased - Total amount paid
Quantity of equipment purchased - Total amount paid
Quantity of equipment purchased - Total amount paid
Quantity of equipment purchased - Total amount paid
Quantity of equipment purchased - Total amount paid
What was the quantity of equipment purchased/gifted and how much did you pay in total? Total amount paid.
14
4000
300000
147657.143
116694.01
How much remains to be paid (Ksh)
How much remains to be paid (Ksh)
How much remains to be paid (Ksh)
How much remains to be paid (Ksh)
How much remains to be paid (Ksh)
How much of this amount remains to be paid?
14
70000
5000
18708.287
Anyone outside HH help to pay - Amount
Anyone outside HH help to pay - Amount
Anyone outside HH help to pay - Amount
Anyone outside HH help to pay - Amount
Anyone outside HH help to pay - Amount
Did anyone outside of your household help you pay? Amt.
8
6
100000
12500
35355.339
Anyone outside HH help to pay - IRID
Anyone outside HH help to pay - IRID
Anyone outside HH help to pay - IRID
Anyone outside HH help to pay - IRID
Anyone outside HH help to pay - IRID
Did anyone outside of your household help you pay? IRID.
1
Anyone outside HH help to pay - Amount
Anyone outside HH help to pay - Amount
Anyone outside HH help to pay - Amount
Anyone outside HH help to pay - Amount
Anyone outside HH help to pay - Amount
Did anyone outside of your household help you pay? Amt.
14
Anyone outside HH help to pay - IRID
Anyone outside HH help to pay - IRID
Anyone outside HH help to pay - IRID
Anyone outside HH help to pay - IRID
Anyone outside HH help to pay - IRID
Did anyone outside of your household help you pay? IRID.
Anyone outside HH help to pay - Amount
Anyone outside HH help to pay - Amount
Anyone outside HH help to pay - Amount
Anyone outside HH help to pay - Amount
Anyone outside HH help to pay - Amount
Did anyone outside of your household help you pay? Amt.
14
Anyone outside HH help to pay - IRID
Anyone outside HH help to pay - IRID
Anyone outside HH help to pay - IRID
Anyone outside HH help to pay - IRID
Anyone outside HH help to pay - IRID
Did anyone outside of your household help you pay? IRID.
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
9640
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
9640
Assets module
Assets module
Assets module
Assets module
Assets module
9640
1
Yes
2
No
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
9640
Day of interview
Day of interview
Day of interview
Day of interview
Day of interview
Date of Interview. Day.
9640
Month of interview
Month of interview
Month of interview
Month of interview
Month of interview
Date of Interview. Month.
9640
Year of interview
Year of interview
Year of interview
Year of interview
Year of interview
Date of Interview. Year.
9640
Round 2 day of interveiw
Round 2 day of interveiw
Round 2 day of interveiw
Round 2 day of interveiw
Round 2 day of interveiw
Date of Round 2 interview. Day.
9620
20
Round 2 month of interview
Round 2 month of interview
Round 2 month of interview
Round 2 month of interview
Round 2 month of interview
Date of Round 2 interview. Month.
9620
20
Round 2 year of interview
Round 2 year of interview
Round 2 year of interview
Round 2 year of interview
Round 2 year of interview
Date of Round 2 interview. Year.
9620
20
Item
Item
Item
Item
Item
ITEMS
9640
1
Sewing machines
2
Coolers
3
Refrigerators
4
Radios
5
Televisions
6
Mobile telephones
7
Landline telephones
8
Stove (electric)
9
Stove (gas)
10
Watches/Clocks
How many currently own
How many currently own
How many currently own
How many currently own
How many currently own
How many [ITEMS] do members of your household currently own?
9640
98
0.295
1.178
Total value
Total value
Total value
Total value
Total value
What is the total value of all the [ITEMS] if you were to sell them today?
2051
7589
30
70000
3332.027
5056.143
9640
3
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
964
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
964
Assets module
Assets module
Assets module
Assets module
Assets module
964
1
Yes
2
No
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
964
Day of interview
Day of interview
Day of interview
Day of interview
Day of interview
Date of Interview. Day.
964
Month of interview
Month of interview
Month of interview
Month of interview
Month of interview
Date of Interview. Month.
964
Year of interview
Year of interview
Year of interview
Year of interview
Year of interview
Date of Interview. Year.
964
Round 2 day of interveiw
Round 2 day of interveiw
Round 2 day of interveiw
Round 2 day of interveiw
Round 2 day of interveiw
Date of Round 2 interview. Day.
962
2
Round 2 month of interview
Round 2 month of interview
Round 2 month of interview
Round 2 month of interview
Round 2 month of interview
Date of Round 2 interview. Month.
962
2
Round 2 year of interview
Round 2 year of interview
Round 2 year of interview
Round 2 year of interview
Round 2 year of interview
Date of Round 2 interview. Year.
962
2
Sold or given as agift a vehicle
Sold or given as agift a vehicle
Sold or given as agift a vehicle
Sold or given as agift a vehicle
Sold or given as agift a vehicle
Have you or members of your household sold or given as a gift a vehicle (such as a car, bicycle, etc) since [Round 2]?
If answer is 2 > Go to section VI-b (Acquisitions)(assv11 - variable name in dataset).
964
1
Yes
2
No
Count of vehicle sales
Count of vehicle sales
Count of vehicle sales
Count of vehicle sales
Count of vehicle sales
48
916
1
3
1.083
0.347
_merge representing assets6
_merge representing assets6
_merge representing assets6
_merge representing assets6
_merge representing assets6
964
1
_merge representing assets6a
_merge representing assets6a
_merge representing assets6a
_merge representing assets6a
_merge representing assets6a
964
1
Have purchased a vehicle since Round 2
Have purchased a vehicle since Round 2
Have purchased a vehicle since Round 2
Have purchased a vehicle since Round 2
Have purchased a vehicle since Round 2
Have you or members of your household purchased or acquired a vehicle (such as a car, bicycle, etc) since [Round 2]?
If answer is 2 > End.
964
1
Yes
2
No
Count of vehicle
Count of vehicle
Count of vehicle
Count of vehicle
Count of vehicle
80
884
1
1
1
_merge representing assets6b1
_merge representing assets6b1
_merge representing assets6b1
_merge representing assets6b1
_merge representing assets6b1
964
1
_merge representing assets6b2
_merge representing assets6b2
_merge representing assets6b2
_merge representing assets6b2
_merge representing assets6b2
964
1
964
3
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
52
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
52
Line number
Line number
Line number
Line number
Line number
Please describe each vehicle sale or gift by you or someone in your household since [Round 2].
52
Vehicle code
Vehicle code
Vehicle code
Vehicle code
Vehicle code
Vehicle code
52
1
Car/pickup
2
Truck
3
Motorcycle
4
Matatu/business vehicle
5
Bicycle
6
Other (specify)
Vehicle code (other)
Vehicle code (other)
Vehicle code (other)
Vehicle code (other)
Vehicle code (other)
Vehicle code. Other (specify).
1
RADIO
When was the sale - Month
When was the sale - Month
When was the sale - Month
When was the sale - Month
When was the sale - Month
When was this sale or gift? Month.
* exact month,
52
When was the sale - Year
When was the sale - Year
When was the sale - Year
When was the sale - Year
When was the sale - Year
When was this sale or gift? Year.
52
How much did you sell
How much did you sell
How much did you sell
How much did you sell
How much did you sell
How much did you sell this … for?
If gift, put zero.
If answer is 0 > Go to 10 (assv10 - variable name in dataset).
52
550000
25351.923
86696.942
Shared money with anyone outside HH
Shared money with anyone outside HH
Shared money with anyone outside HH
Shared money with anyone outside HH
Shared money with anyone outside HH
Did you share this money with anyone outside of the household?
If answer is 2 > Go to 10 (assv10 - variable name in dataset).
51
1
1
Yes
2
No
Sysmiss
How much went to someone - Amount
How much went to someone - Amount
How much went to someone - Amount
How much went to someone - Amount
How much went to someone - Amount
How much of this amount went to someone else outside of your household? Amt.
Ask for amount and IRID of each recipient.
1
51
65000
65000
65000
How much went to someone - IRID
How much went to someone - IRID
How much went to someone - IRID
How much went to someone - IRID
How much went to someone - IRID
How much of this amount went to someone else outside of your household? IRID.
Ask for amount and IRID of each recipient.
Use 98 for group, 99 Don't know.
1
How much went to someone - Amount
How much went to someone - Amount
How much went to someone - Amount
How much went to someone - Amount
How much went to someone - Amount
How much of this amount went to someone else outside of your household? Amt.
Ask for amount and IRID of each recipient.
52
How much went to someone - IRID
How much went to someone - IRID
How much went to someone - IRID
How much went to someone - IRID
How much went to someone - IRID
How much of this amount went to someone else outside of your household? IRID.
Ask for amount and IRID of each recipient.
Use 98 for group, 99 Don't know.
How much went to someone - Amount
How much went to someone - Amount
How much went to someone - Amount
How much went to someone - Amount
How much went to someone - Amount
How much of this amount went to someone else outside of your household? Amt.
Ask for amount and IRID of each recipient.
52
How much went to someone - IRID
How much went to someone - IRID
How much went to someone - IRID
How much went to someone - IRID
How much went to someone - IRID
How much of this amount went to someone else outside of your household? IRID.
Ask for amount and IRID of each recipient.
Use 98 for group, 99 Don't know.
Why sold the vehicle
Why sold the vehicle
Why sold the vehicle
Why sold the vehicle
Why sold the vehicle
Why did you sell this vehicle?
52
1
Health expenses
2
School fees
3
Buy/invest in a business
4
Raise money for planting season
5
Wedding or other ceremony
6
Other (specify)
Why sold the vehicle (Other)
Why sold the vehicle (Other)
Why sold the vehicle (Other)
Why sold the vehicle (Other)
Why sold the vehicle (Other)
Why did you sell this vehicle? Other (specify).
25
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
80
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
80
Line Number
Line Number
Line Number
Line Number
Line Number
80
Vehicle code
Vehicle code
Vehicle code
Vehicle code
Vehicle code
Vehicle code
80
1
Car/pickup
2
Truck
3
Motorcycle
4
Matatu/business vehicle
5
Bicycle
6
Other (specify)
Vehicle code (other)
Vehicle code (other)
Vehicle code (other)
Vehicle code (other)
Vehicle code (other)
Vehicle code. Other (specify).
When was the acquisition - Month
When was the acquisition - Month
When was the acquisition - Month
When was the acquisition - Month
When was the acquisition - Month
When was this acquisition? Month.
* exact month,
80
When was the acquisition - Year
When was the acquisition - Year
When was the acquisition - Year
When was the acquisition - Year
When was the acquisition - Year
When was this acquisition? Year.
80
How many vehicles were acquired - Quantity
How many vehicles were acquired - Quantity
How many vehicles were acquired - Quantity
How many vehicles were acquired - Quantity
How many vehicles were acquired - Quantity
How many [vehicles] were acquired and how much did was paid in total? Quantity.
80
1
2
1.013
0.112
How many vehicles were acquired - Total value
How many vehicles were acquired - Total value
How many vehicles were acquired - Total value
How many vehicles were acquired - Total value
How many vehicles were acquired - Total value
How many [vehicles] were acquired and how much did was paid in total? Total value.
80
600
500000
35386.25
92139.641
How acquired the vehicle
How acquired the vehicle
How acquired the vehicle
How acquired the vehicle
How acquired the vehicle
How did you acquire this vehicle?
If answer is 2 or 3 > Go to next purchase.
80
1
Bought or borrowed
2
Gift
3
Inherited
4
Other (specify)
How acquired the vehicle (Other)
How acquired the vehicle (Other)
How acquired the vehicle (Other)
How acquired the vehicle (Other)
How acquired the vehicle (Other)
How did you acquire this vehicle? Other (specify).
Anyone outside help to pay - Amount
Anyone outside help to pay - Amount
Anyone outside help to pay - Amount
Anyone outside help to pay - Amount
Anyone outside help to pay - Amount
Did anyone outside of your household help you pay? Amt.
65
15
30000
476.923
3721.171
Anyone outside help to pay - IRID
Anyone outside help to pay - IRID
Anyone outside help to pay - IRID
Anyone outside help to pay - IRID
Anyone outside help to pay - IRID
Did anyone outside of your household help you pay? IRID.
2
Anyone outside help to pay - Amount
Anyone outside help to pay - Amount
Anyone outside help to pay - Amount
Anyone outside help to pay - Amount
Anyone outside help to pay - Amount
Did anyone outside of your household help you pay? Amt.
80
Anyone outside help to pay - IRID
Anyone outside help to pay - IRID
Anyone outside help to pay - IRID
Anyone outside help to pay - IRID
Anyone outside help to pay - IRID
Did anyone outside of your household help you pay? IRID.
Anyone outside help to pay - Amount
Anyone outside help to pay - Amount
Anyone outside help to pay - Amount
Anyone outside help to pay - Amount
Anyone outside help to pay - Amount
Did anyone outside of your household help you pay? Amt.
80
Anyone outside help to pay - IRID
Anyone outside help to pay - IRID
Anyone outside help to pay - IRID
Anyone outside help to pay - IRID
Anyone outside help to pay - IRID
Did anyone outside of your household help you pay? IRID.
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
2385
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
2385
Assets module
Assets module
Assets module
Assets module
Assets module
2385
1
Yes
2
No
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
2385
Day of interview
Day of interview
Day of interview
Day of interview
Day of interview
Date of Interview. Day.
2385
Month of interview
Month of interview
Month of interview
Month of interview
Month of interview
Date of Interview. Month.
2385
Year of interview
Year of interview
Year of interview
Year of interview
Year of interview
Date of Interview. Year.
2385
Round 2 day of interveiw
Round 2 day of interveiw
Round 2 day of interveiw
Round 2 day of interveiw
Round 2 day of interveiw
Date of Round 2 interview. Day.
2382
3
Round 2 month of interview
Round 2 month of interview
Round 2 month of interview
Round 2 month of interview
Round 2 month of interview
Date of Round 2 interview. Month.
2382
3
Round 2 year of interview
Round 2 year of interview
Round 2 year of interview
Round 2 year of interview
Round 2 year of interview
Date of Round 2 interview. Year.
2382
3
Members Listed in Bequests Section
Members Listed in Bequests Section
Members Listed in Bequests Section
Members Listed in Bequests Section
Members Listed in Bequests Section
2385
1
2
3
4
5
6
_merge representing assets7count
_merge representing assets7count
_merge representing assets7count
_merge representing assets7count
_merge representing assets7count
2385
1
Line Number
Line Number
Line Number
Line Number
Line Number
2385
ID Code of person whom you expect to inherit
ID Code of person whom you expect to inherit
ID Code of person whom you expect to inherit
ID Code of person whom you expect to inherit
ID Code of person whom you expect to inherit
2385
Share/Percent this person will inherit
Share/Percent this person will inherit
Share/Percent this person will inherit
Share/Percent this person will inherit
Share/Percent this person will inherit
2385
4
100
31.647
24.013
_merge representing assets7
_merge representing assets7
_merge representing assets7
_merge representing assets7
_merge representing assets7
2385
1
2385
3
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
1383
103
99975
50050.913
29224.997
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
1383
1
2
3
4
5
6
7
8
Food consumption Module
Food consumption Module
Food consumption Module
Food consumption Module
Food consumption Module
1383
1
Yes
2
No
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
984
399
1
2
3
4
5
6
7
8
Sysmiss
Day of interview
Day of interview
Day of interview
Day of interview
Day of interview
Date of Interview. Day.
984
399
1
31
16.218
9.008
Month of interview
Month of interview
Month of interview
Month of interview
Month of interview
Date of Interview. Month.
984
399
3
4
5
6
7
8
9
10
Sysmiss
Year of interview
Year of interview
Year of interview
Year of interview
Year of interview
Date of Interview. Year.
984
399
2006
Sysmiss
Has members eaten any foods grown by household
Has members eaten any foods grown by household
Has members eaten any foods grown by household
Has members eaten any foods grown by household
Has members eaten any foods grown by household
In the past 4 weeks (since ____), have the members of your household eaten any foods grown by your household or any products from animals belonging to your household?
If answer is 2 > Go to section II (fcp01 - variable name in dataset).
984
399
1
Yes
2
No
Sysmiss
_merge representing consump1
_merge representing consump1
_merge representing consump1
_merge representing consump1
_merge representing consump1
1383
1
_merge representing consump2
_merge representing consump2
_merge representing consump2
_merge representing consump2
_merge representing consump2
1383
1
_merge representing consump3
_merge representing consump3
_merge representing consump3
_merge representing consump3
_merge representing consump3
1383
1
Enough maize
Enough maize
Enough maize
Enough maize
Enough maize
983
400
1
Yes
2
No
Sysmiss
Enough vegetables
Enough vegetables
Enough vegetables
Enough vegetables
Enough vegetables
983
400
1
Yes
2
No
8
Sysmiss
Enough eggs
Enough eggs
Enough eggs
Enough eggs
Enough eggs
983
400
1
Yes
2
No
8
Sysmiss
Enough milk
Enough milk
Enough milk
Enough milk
Enough milk
983
400
1
Yes
2
No
8
Sysmiss
Enough food- past 4 weeks
Enough food- past 4 weeks
Enough food- past 4 weeks
Enough food- past 4 weeks
Enough food- past 4 weeks
984
399
1
Yes
2
No
8
Sysmiss
Any organizations that provide free food
Any organizations that provide free food
Any organizations that provide free food
Any organizations that provide free food
Any organizations that provide free food
984
399
1
Yes
2
No
3
Yes, but only to HIV/AIDS patients
4
Yes, but only for a specific group
9
Sysmiss
Has household received nutition education
Has household received nutition education
Has household received nutition education
Has household received nutition education
Has household received nutition education
982
401
1
Yes
2
No
Sysmiss
Have you received training in preparation of food items
Have you received training in preparation of food items
Have you received training in preparation of food items
Have you received training in preparation of food items
Have you received training in preparation of food items
98
1285
1
Yes
2
No
Sysmiss
_merge representing consump4
_merge representing consump4
_merge representing consump4
_merge representing consump4
_merge representing consump4
1383
1
Has household received food from health clinic
Has household received food from health clinic
Has household received food from health clinic
Has household received food from health clinic
Has household received food from health clinic
In the past 4 weeks (since ____), have the members of your household received any foods from the Health Clinic Farm?
If answer is 2 > End section.
984
399
1
2
Sysmiss
From which sites
From which sites
From which sites
From which sites
From which sites
From which site(s) have you picked up foods in the last 4 weeks?
(List all)
24
1359
1
Mosoriot
2
Ngechek
3
Cheptarit
4
Beri Beriette
5
Chimuswo
Sysmiss
From which sites
From which sites
From which sites
From which sites
From which sites
From which site(s) have you picked up foods in the last 4 weeks?
(List all)
1383
1
Mosoriot
2
Ngechek
3
Cheptarit
4
Beri Beriette
5
Chimuswo
Sysmiss
From which sites
From which sites
From which sites
From which sites
From which sites
From which site(s) have you picked up foods in the last 4 weeks?
(List all)
1383
1
Mosoriot
2
Ngechek
3
Cheptarit
4
Beri Beriette
5
Chimuswo
Sysmiss
From which sites
From which sites
From which sites
From which sites
From which sites
From which site(s) have you picked up foods in the last 4 weeks?
(List all)
1383
1
Mosoriot
2
Ngechek
3
Cheptarit
4
Beri Beriette
5
Chimuswo
Sysmiss
From which sites
From which sites
From which sites
From which sites
From which sites
From which site(s) have you picked up foods in the last 4 weeks?
(List all)
1383
1
Mosoriot
2
Ngechek
3
Cheptarit
4
Beri Beriette
5
Chimuswo
Sysmiss
From which sites
From which sites
From which sites
From which sites
From which sites
From which site(s) have you picked up foods in the last 4 weeks?
(List all)
1383
1
Mosoriot
2
Ngechek
3
Cheptarit
4
Beri Beriette
5
Chimuswo
Sysmiss
How long did it take to travel (Hours)
How long did it take to travel (Hours)
How long did it take to travel (Hours)
How long did it take to travel (Hours)
How long did it take to travel (Hours)
24
1359
1
2
3
Sysmiss
How long did it take to travel (Minutes)
How long did it take to travel (Minutes)
How long did it take to travel (Minutes)
How long did it take to travel (Minutes)
How long did it take to travel (Minutes)
24
1359
50
18.75
15.691
Do you perform any other duties
Do you perform any other duties
Do you perform any other duties
Do you perform any other duties
Do you perform any other duties
24
1359
1
2
3
4
Sysmiss
Do you perform any other duties
Do you perform any other duties
Do you perform any other duties
Do you perform any other duties
Do you perform any other duties
1383
Sysmiss
Do you perform any other duties
Do you perform any other duties
Do you perform any other duties
Do you perform any other duties
Do you perform any other duties
1383
Sysmiss
Do you perform any other duties
Do you perform any other duties
Do you perform any other duties
Do you perform any other duties
Do you perform any other duties
1383
Sysmiss
Do you perform any other duties (other)
Do you perform any other duties (other)
Do you perform any other duties (other)
Do you perform any other duties (other)
Do you perform any other duties (other)
1
GO TO FARM
Which member benefit from the food received
Which member benefit from the food received
Which member benefit from the food received
Which member benefit from the food received
Which member benefit from the food received
24
1359
1
2
3
Sysmiss
Have you noticed any improvement
Have you noticed any improvement
Have you noticed any improvement
Have you noticed any improvement
Have you noticed any improvement
24
1359
1
Sysmiss
_merge representing consump5
_merge representing consump5
_merge representing consump5
_merge representing consump5
_merge representing consump5
1383
1
1383
1
3
Household ID
Household ID
Household ID
Household ID
Household ID
52966
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
52966
Item code
Item code
Item code
Item code
Item code
Ask for all of the following crops/livestock.
Item
52966
1
Tea, coffee, or cocoa
2
Maize
3
Wheat
4
Millet or sorghum
5
Rice
6
Beans, peas, cowpeas, other pulses
7
Groundnuts
8
Sunflower seeds
9
Avocado
10
Sugar, candy, honey, or sugarcane
11
Yams or sweet potatoes
12
Cassava
13
Irish Potatoes
14
Sukuma wiki
15
Spinach
16
Capsicums/green peppers
17
Tomatoes
18
Onions
19
Eggplant
20
Cabbage
21
Carrots
22
Chillies
23
Bananas
24
Mangoes
25
Oranges/Citrus
26
Pineapple
27
Other veg./fruits (specify)
28
Chicken, duck, other poultry
29
Beef
30
Mutton (goat)
31
Pork
32
Lamb (sheep)
33
Rabbit
34
Turkey
35
Other livestock (specify)
36
Eggs (all birds)
37
Fresh milk
38
Yogurt (mala), cheese, other milk product
39
Wheat flour, bread
40
Cooking oils/fats
41
Baby food, excluding milk
42
Snacks
43
Milk powder
44
Tinned meats, fish, vegs., fruit
45
Other prepared foods consumed at home
46
Spices
47
Fish
48
Other non-seasonal items (specify)
49
Sucha/Saga/ Schet
50
Spring Onions
51
Water (Purified, Bottled, etc.)
52
Omena
53
Instamix
HH members eaten
HH members eaten
HH members eaten
HH members eaten
HH members eaten
In the past 4 weeks, have members of your household eaten [ITEM] that was grown, kept, or produced by your household?
If answer is 2 > Go to next item.
33706
19260
1
Yes
2
No
8
Sysmiss
HH members eaten (other)
HH members eaten (other)
HH members eaten (other)
HH members eaten (other)
HH members eaten (other)
In the past 4 weeks, have members of your household eaten [ITEM] that was grown, kept, or produced by your household? Other (specify).
292
How much entire hh consume (Quantity)
How much entire hh consume (Quantity)
How much entire hh consume (Quantity)
How much entire hh consume (Quantity)
How much entire hh consume (Quantity)
How much did the entire household consume in the past 4 weeks? Quantity.
5141
47825
50
84000
2312.488
3832.945
How much entire hh consume (Unit codes)
How much entire hh consume (Unit codes)
How much entire hh consume (Unit codes)
How much entire hh consume (Unit codes)
How much entire hh consume (Unit codes)
How much did the entire household consume in the past 4 weeks? Unit codes.
5141
47825
1
Grams
2
Kilograms
3
Goro goros (2 Kgs.)
4
Debbes
5
Litres
6
Bunches
7
Bags/Sacks
8
Pieces
9
Tins
10
Dozens
11
Other (specify)
98
Sysmiss
How much would it have cost
How much would it have cost
How much would it have cost
How much would it have cost
How much would it have cost
How much would it have cost to buy this total quantity?
Go to next item.
5141
47825
3
13000
371.859
526.29
Purchased
Purchased
Purchased
Purchased
Purchased
In the past 4 weeks, have members of your household purchased [ITEM] for consumption by your household?
If answer is 2 > Go to next item.
27552
25414
1
Yes
2
No
Sysmiss
Purchased (other)
Purchased (other)
Purchased (other)
Purchased (other)
Purchased (other)
In the past 4 weeks, have members of your household purchased [ITEM] for consumption by your household? Other (specify).
39
How much item purchased (Quantity)
How much item purchased (Quantity)
How much item purchased (Quantity)
How much item purchased (Quantity)
How much item purchased (Quantity)
How much did the entire household purchase in the past 4 weeks? Quantity.
7342
45624
30
90000
1050.338
3221.869
How much item purchased (Unit code)
How much item purchased (Unit code)
How much item purchased (Unit code)
How much item purchased (Unit code)
How much item purchased (Unit code)
How much did the entire household purchase in the past 4 weeks? Unit.
7342
45624
1
98
5.298
3.211
1
Grams
2
Kilograms
3
Goro goros (2 Kgs.)
4
Debbes
5
Litres
6
Bunches
7
Bags/Sacks
8
Pieces
9
Tins
10
Dozens
11
Other (specify)
98
Sysmiss
How much did it cost
How much did it cost
How much did it cost
How much did it cost
How much did it cost
How much did it cost to buy the total quantity they ate?
Go to next item.
7342
45624
5
6375
143.495
268.393
Purchased
Purchased
Purchased
Purchased
Purchased
In the past 4 weeks, have members of your household purchased [ITEM] for consumption by your household?
If answer is 2 > Go to next item.
24600
28366
1
Yes
2
No
Sysmiss
Purchased (other)
Purchased (other)
Purchased (other)
Purchased (other)
Purchased (other)
In the past 4 weeks, have members of your household purchased [ITEM] for consumption by your household?
8
How much item purchased (Quantity)
How much item purchased (Quantity)
How much item purchased (Quantity)
How much item purchased (Quantity)
How much item purchased (Quantity)
How much did the entire household purchase in the past 4 weeks? Quantity.
6522
46444
25
240000
6933.648
15703.706
How much item purchased (Unit code)
How much item purchased (Unit code)
How much item purchased (Unit code)
How much item purchased (Unit code)
How much item purchased (Unit code)
How much did the entire household purchase in the past 4 weeks? Unit.
6522
46444
1
Grams
2
Kilograms
3
Goro goros (2 Kgs.)
4
Debbes
5
Litres
6
Bunches
7
Bags/Sacks
8
Pieces
9
Tins
10
Dozens
11
Other (specify)
20
98
Sysmiss
How much did it cost
How much did it cost
How much did it cost
How much did it cost
How much did it cost
How much did it cost to buy the total quantity they ate?
Go to next item.
6521
46445
5
3000
190.975
216.215
Have you received item
Have you received item
Have you received item
Have you received item
Have you received item
In the past 4 weeks, have members of your household received [ITEM] from the AMPATH food program?
If answer is 2 > Go to next item.
72
52894
1
Yes
2
No
Sysmiss
How much item received (Quantity)
How much item received (Quantity)
How much item received (Quantity)
How much item received (Quantity)
How much item received (Quantity)
How much did the entire household receive in the past 4 weeks? Quantity.
43
52923
1
60
9.907
11.739
How much item received (Unit code)
How much item received (Unit code)
How much item received (Unit code)
How much item received (Unit code)
How much item received (Unit code)
How much did the entire household receive in the past 4 weeks? Units.
43
52923
1
Single serving bags (1.5 kg for maize,)
2
5 kg bag (for Instamix)
3
Pieces
4
Kilograms
Sysmiss
How much would it have cost
How much would it have cost
How much would it have cost
How much would it have cost
How much would it have cost
How much would it have cost to buy this total quantity?
Go to next item.
43
52923
10
900
202.186
210.164
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
2825
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
2825
Education module done
Education module done
Education module done
Education module done
Education module done
2825
1
Yes
2
No
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
2825
Day of interview
Day of interview
Day of interview
Day of interview
Day of interview
Date of Interview. Day.
2825
Month of interview
Month of interview
Month of interview
Month of interview
Month of interview
Date of Interview. Month.
2825
Year of interview
Year of interview
Year of interview
Year of interview
Year of interview
Date of Interview. Year.
2825
Members between 6 & 25 years
Members between 6 & 25 years
Members between 6 & 25 years
Members between 6 & 25 years
Members between 6 & 25 years
2825
Members in Section 2:
Members in Section 2:
Members in Section 2:
Members in Section 2:
Members in Section 2:
2825
Members in Section 3:
Members in Section 3:
Members in Section 3:
Members in Section 3:
Members in Section 3:
2825
ID codes of all household members older than 6 year
ID codes of all household members older than 6 year
ID codes of all household members older than 6 year
ID codes of all household members older than 6 year
ID codes of all household members older than 6 year
ID Codes of all household members older than 6 years, from Sec. 3 of Household Roster
All household members (old and new) between 6 and 25 and any new household members who are 25 years and older.
2825
Members ID above 6 years
Members ID above 6 years
Members ID above 6 years
Members ID above 6 years
Members ID above 6 years
ID Codes of all household members older than 6 years, from Sec. 3 of Household Roster
All household members (old and new) between 6 and 25 and any new household members who are 25 years and older.
2825
Has ever attended school
Has ever attended school
Has ever attended school
Has ever attended school
Has ever attended school
Has [NAME] ever attended or is he/she attending a school?
If answer is 2 > Go to 4 (qed04 - variable name in dataset).
All household members (old and new) between 6 and 25 and any new household members who are 25 years and older.
2808
17
1
Yes
2
No
8
Sysmiss
Highest grade completed - Level
Highest grade completed - Level
Highest grade completed - Level
Highest grade completed - Level
Highest grade completed - Level
What is the highest grade that [NAME] has completed? Level.
Note: This should be highest level completed, not the current level.
If answer is 3 or 4 > Go to 7 (qed07 - variable name in dataset).
All household members (old and new) between 6 and 25 and any new household members who are 25 years and older.
2770
55
1
Nursery
2
Primary
3
Secondary
4
Post-sec.
8
Sysmiss
Highest grade completed - Years
Highest grade completed - Years
Highest grade completed - Years
Highest grade completed - Years
Highest grade completed - Years
What is the highest grade that [NAME] has completed? Number of years after last level completed.
Note: This should be highest level completed, not the current level.
All household members (old and new) between 6 and 25 and any new household members who are 25 years and older.
2759
66
Can read a newspaper
Can read a newspaper
Can read a newspaper
Can read a newspaper
Can read a newspaper
Can [NAME] read a newspaper?
All household members (old and new) between 6 and 25 and any new household members who are 25 years and older.
2611
214
1
Yes
2
No
8
Sysmiss
Can write a letter
Can write a letter
Can write a letter
Can write a letter
Can write a letter
Can [NAME] write a letter?
All household members (old and new) between 6 and 25 and any new household members who are 25 years and older.
2611
214
1
Yes
2
No
8
Sysmiss
Can do mathematical calculations
Can do mathematical calculations
Can do mathematical calculations
Can do mathematical calculations
Can do mathematical calculations
Can [NAME] do mathematical calculations (either mental or written)?
All household members (old and new) between 6 and 25 and any new household members who are 25 years and older.
2611
214
1
Yes
2
No
8
Sysmiss
Has had any technical or professional training
Has had any technical or professional training
Has had any technical or professional training
Has had any technical or professional training
Has had any technical or professional training
In addition has [NAME] had any technical or professional training?
If answe is 4 > Go to next person.
All household members (old and new) between 6 and 25 and any new household members who are 25 years and older.
2807
18
1
Technical
2
Professional
3
On-the-job
4
No
8
Sysmiss
How many years of additional training - Year
How many years of additional training - Year
How many years of additional training - Year
How many years of additional training - Year
How many years of additional training - Year
How many years of additional training? Years.
All household members (old and new) between 6 and 25 and any new household members who are 25 years and older.
126
2699
98
8.865
26.301
How many months of additional training - Months
How many months of additional training - Months
How many months of additional training - Months
How many months of additional training - Months
How many months of additional training - Months
How many years of additional training? Months
All household members (old and new) between 6 and 25 and any new household members who are 25 years and older.
124
2701
98
9.758
26.36
Line number
Line number
Line number
Line number
Line number
All household members (old and new) who are between the ages of 6 and 25 as well as any other children in school.
2825
Sysmiss
ID code
ID code
ID code
ID code
ID code
ID
All household members (old and new) who are between the ages of 6 and 25 as well as any other children in school.
2795
30
Still attending school or educational institution
Still attending school or educational institution
Still attending school or educational institution
Still attending school or educational institution
Still attending school or educational institution
Is [NAME] still attending a school or an educational institution?
If answer is 2 > Go to next person.
All household members (old and new) who are between the ages of 6 and 25 as well as any other children in school.
2795
30
1
Yes
2
No
8
Sysmiss
Attending the same school
Attending the same school
Attending the same school
Attending the same school
Attending the same school
Is [NAME] attending the same school that he/she was attending during [round 2]?
All household members (old and new) who are between the ages of 6 and 25 as well as any other children in school.
2160
665
1
Yes
2
No
3
Not in school last time
Sysmiss
Hours actually spend in school last week in total
Hours actually spend in school last week in total
Hours actually spend in school last week in total
Hours actually spend in school last week in total
Hours actually spend in school last week in total
How many hours did [NAME] actually spend in school last week in total?
All household members (old and new) who are between the ages of 6 and 25 as well as any other children in school.
2159
666
99
Don't know
Is this # of hours usually spend at school during a week
Is this # of hours usually spend at school during a week
Is this # of hours usually spend at school during a week
Is this # of hours usually spend at school during a week
Is this # of hours usually spend at school during a week
Is this the number of hours that [NAME] usually spends at school during a week?
If answer is 1 > Go to next person.
All household members (old and new) who are between the ages of 6 and 25 as well as any other children in school.
1964
861
1
Yes
2
No
8
9
Sysmiss
Why did not attend school for normal hours last week
Why did not attend school for normal hours last week
Why did not attend school for normal hours last week
Why did not attend school for normal hours last week
Why did not attend school for normal hours last week
Why did [NAME] not attend school for the normal hours last week?
Go to next person.
All household members (old and new) who are between the ages of 6 and 25 as well as any other children in school.
880
1945
1
99
6.426
11.361
1
Own illness
2
Caring for sick family member
3
Working at home
4
Working outside home
5
Holiday(s)
6
Funeral/mourning
7
Non-payment of fees
8
Teacher missing
9
Other (specify)
98
99
Sysmiss
Why did not attend (Other)
Why did not attend (Other)
Why did not attend (Other)
Why did not attend (Other)
Why did not attend (Other)
Why did [NAME] not attend school for the normal hours last week? Other(Specify).
All household members (old and new) who are between the ages of 6 and 25 as well as any other children in school.
49
Line number
Line number
Line number
Line number
Line number
All household members (old and new) who are between the ages of 6 and 25 as well as any other children in school.
2825
Sysmiss
ID code
ID code
ID code
ID code
ID code
ID
All household members (old and new) who are between the ages of 6 and 25 as well as any other children in school.
2792
33
Attended school at all in 2005
Attended school at all in 2005
Attended school at all in 2005
Attended school at all in 2005
Attended school at all in 2005
Was [NAME] enrolled in school at all in [PERIOD]?
If answer is 2 > Go to 4 (qed1a - variable name in dataset).
All household members (old and new) who are between the ages of 6 and 25 as well as any other children in school.
2792
33
1
Yes
2
No
8
Sysmiss
In 2005: Days when did not attend school
In 2005: Days when did not attend school
In 2005: Days when did not attend school
In 2005: Days when did not attend school
In 2005: Days when did not attend school
have there been any days when [NAME] did not attend school (for reasons other than holiday)?
If answer is 2 > Go to 4 (qed1a - variable name in dataset).
All household members (old and new) who are between the ages of 6 and 25 as well as any other children in school.
2239
586
1
Yes
2
No
9
Sysmiss
How many days did not attend school
How many days did not attend school
How many days did not attend school
How many days did not attend school
How many days did not attend school
For how many days did [NAME] not attend school in [PERIOD], for reasons other than holidays?
[Number of days]
All household members (old and new) who are between the ages of 6 and 25 as well as any other children in school.
1494
1331
200
7.277
13.789
Attended school at all in 1st term 2006
Attended school at all in 1st term 2006
Attended school at all in 1st term 2006
Attended school at all in 1st term 2006
Attended school at all in 1st term 2006
Was [NAME] enrolled in school at all in [PERIOD]?
If answer is 2 > Go to 7 (qed1d - variable name in dataset).
All household members (old and new) who are between the ages of 6 and 25 as well as any other children in school.
2790
35
1
Yes
2
No
8
Sysmiss
In 1st term 2006: Days when did not attend school
In 1st term 2006: Days when did not attend school
In 1st term 2006: Days when did not attend school
In 1st term 2006: Days when did not attend school
In 1st term 2006: Days when did not attend school
In [PERIOD], have there been any days when [NAME] did not attend school (for reasons other than holiday)?
If answer is 2 > Go to 7 (qed1d - variable name in dataset).
All household members (old and new) who are between the ages of 6 and 25 as well as any other children in school.
2151
674
1
Yes
2
No
8
9
Sysmiss
How many days did not attend school
How many days did not attend school
How many days did not attend school
How many days did not attend school
How many days did not attend school
For how many days did [NAME] not attend school in [PERIOD]?
[Number of days]
All household members (old and new) who are between the ages of 6 and 25 as well as any other children in school.
890
1935
1
99
4.676
9.707
Attended school at all in 2nd term 2006
Attended school at all in 2nd term 2006
Attended school at all in 2nd term 2006
Attended school at all in 2nd term 2006
Attended school at all in 2nd term 2006
Was [NAME] enrolled in school at all in [PERIOD]?
If answer is 2 > Go to next person.
If answer is 3 > End module.
All household members (old and new) who are between the ages of 6 and 25 as well as any other children in school.
2790
35
1
Yes
2
No
3
N/A
8
Sysmiss
In 2nd term 2006: Days when did not attend school
In 2nd term 2006: Days when did not attend school
In 2nd term 2006: Days when did not attend school
In 2nd term 2006: Days when did not attend school
In 2nd term 2006: Days when did not attend school
In [PERIOD], have there been any days when [NAME] did not attend school (for reasons other than holiday)?
If answer is 2 > Go to next person.
All household members (old and new) who are between the ages of 6 and 25 as well as any other children in school.
1597
1228
1
Yes
2
No
3
8
9
Sysmiss
How many days did not attend school
How many days did not attend school
How many days did not attend school
How many days did not attend school
How many days did not attend school
For how many days did [NAME] not attend school in [PERIOD]?
[Number of days]
All household members (old and new) who are between the ages of 6 and 25 as well as any other children in school.
605
2220
1
98
3.912
7.005
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
1383
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Repondent ID
1383
Education expenditure module
Education expenditure module
Education expenditure module
Education expenditure module
Education expenditure module
1383
1
Yes
2
No
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
953
430
Day of interview
Day of interview
Day of interview
Day of interview
Day of interview
Date of Interview. Day.
953
430
Month of interview
Month of interview
Month of interview
Month of interview
Month of interview
Date of Interview. Month.
953
430
Year of interview
Year of interview
Year of interview
Year of interview
Year of interview
Date of Interview. Year.
953
430
Children in school
Children in school
Children in school
Children in school
Children in school
953
430
10. In past 1 year had difficult in paying for school expens
10. In past 1 year had difficult in paying for school expens
10. In past 1 year had difficult in paying for school expens
10. In past 1 year had difficult in paying for school expens
10. In past 1 year had difficult in paying for school expens
In the past one year, have you had difficulty paying for school expenses (fees, uniforms, supplies, etc.) of any of the children living in your household, even after receiving any scholarships or assistance from relatives?
If answer is 2 > End.
Children who were in school during the past 6 months (including children living away from the household).
952
431
1
Yes
2
No
8
9
Sysmiss
11. Main reason had difficulty in paying
11. Main reason had difficulty in paying
11. Main reason had difficulty in paying
11. Main reason had difficulty in paying
11. Main reason had difficulty in paying
What was the main reason you had difficulty paying?
Children who were in school during the past 6 months (including children living away from the household).
326
1057
1
Lack of employment
2
Somebody was sick
3
Bad harvest on shamba
4
Business failure
5
Other
Sysmiss
Main reason had difficulty (Other)
Main reason had difficulty (Other)
Main reason had difficulty (Other)
Main reason had difficulty (Other)
Main reason had difficulty (Other)
What was the main reason you had difficulty paying? Other (specify).
Children who were in school during the past 6 months (including children living away from the household).
24
12. Any child miss school as aresult
12. Any child miss school as aresult
12. Any child miss school as aresult
12. Any child miss school as aresult
12. Any child miss school as aresult
Did any children miss school as a result of the difficulty in paying for school expenses?
If answer is 2 > End.
Children who were in school during the past 6 months (including children living away from the household).
327
1056
1
Yes
2
No
8
Sysmiss
13. Children missed school
13. Children missed school
13. Children missed school
13. Children missed school
13. Children missed school
Which children missed school? A.
Record ID numbers of all children.
Children who were in school during the past 6 months (including children living away from the household).
241
1142
13. Children missed school
13. Children missed school
13. Children missed school
13. Children missed school
13. Children missed school
Which children missed school? B.
Record ID numbers of all children.
Children who were in school during the past 6 months (including children living away from the household).
87
1296
13. Children missed school
13. Children missed school
13. Children missed school
13. Children missed school
13. Children missed school
Which children missed school? C.
Record ID numbers of all children.
Children who were in school during the past 6 months (including children living away from the household).
22
1361
13. Children missed school
13. Children missed school
13. Children missed school
13. Children missed school
13. Children missed school
Which children missed school? D.
Record ID numbers of all children.
Children who were in school during the past 6 months (including children living away from the household).
11
1372
_merge representing educexp2
_merge representing educexp2
_merge representing educexp2
_merge representing educexp2
_merge representing educexp2
1383
1
1383
1
3
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
2592
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
2592
Education expenditure module
Education expenditure module
Education expenditure module
Education expenditure module
Education expenditure module
2592
1
Yes
2
No
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
2592
Day of interview
Day of interview
Day of interview
Day of interview
Day of interview
Date of Interview. Day.
2592
Month of interview
Month of interview
Month of interview
Month of interview
Month of interview
Date of Interview. Month.
2592
Year of interview
Year of interview
Year of interview
Year of interview
Year of interview
Date of Interview. Year.
2592
Children in school
Children in school
Children in school
Children in school
Children in school
2592
1
2
3
4
5
6
7
8
9
10
11
Line number
Line number
Line number
Line number
Line number
2592
ID Code of child
ID Code of child
ID Code of child
ID Code of child
ID Code of child
ID Code of child
2592
2a. All of 2005
2a. All of 2005
2a. All of 2005
2a. All of 2005
2a. All of 2005
Total expenses of you and your spouse on [ID’s] education in all of 2005 (All 3 terms).
Children who were in school during the past 6 months (including children living away from the household).
2592
99999
5203.461
10544.258
2b. First term 2006
2b. First term 2006
2b. First term 2006
2b. First term 2006
2b. First term 2006
Total expenses of you and your spouse on [ID's] education in first term of 2006 (Jan-Apr).
Children who were in school during the past 6 months (including children living away from the household).
2592
68000
2912.563
6238.099
2c. Second term 2006
2c. Second term 2006
2c. Second term 2006
2c. Second term 2006
2c. Second term 2006
Total expenses of you and your spouse on [ID’s] education in second term 2006 (May – Aug).
(Use N/A for interviews before May)
Children who were in school during the past 6 months (including children living away from the household).
2592
68000
1119.481
3195.827
3. Anyone else contributed towards the education of child in
3. Anyone else contributed towards the education of child in
3. Anyone else contributed towards the education of child in
3. Anyone else contributed towards the education of child in
3. Anyone else contributed towards the education of child in
Has anyone else in your household (except your spouse) contributed towards the education of [ID] in 2005 (include all 3 terms)?
If answer is 2 > Go to 4 (eea - variable name in dataset).
Children who were in school during the past 6 months (including children living away from the household).
2592
1
Yes
2
No
3
8
3a. The amount of support that was received
3a. The amount of support that was received
3a. The amount of support that was received
3a. The amount of support that was received
3a. The amount of support that was received
What was the amount of support that [ID] received from this person?
Children who were in school during the past 6 months (including children living away from the household).
110
2482
30
54000
3162.964
7518.612
3b. Who was the main contibutor
3b. Who was the main contibutor
3b. Who was the main contibutor
3b. Who was the main contibutor
3b. Who was the main contibutor
Who was the main contributor?
Enter HHID of the main contributor.
Children who were in school during the past 6 months (including children living away from the household).
110
2482
4. Anyone else contributed towards the education of child in
4. Anyone else contributed towards the education of child in
4. Anyone else contributed towards the education of child in
4. Anyone else contributed towards the education of child in
4. Anyone else contributed towards the education of child in
Has anyone else in your household (except your spouse) contributed towards the education of [ID] in 1st term 2006?
If answer is 2 > Go to 5 (ee6 - variable name in dataset).
Children who were in school during the past 6 months (including children living away from the household).
2592
1
Yes
2
No
3
8
4a. The amount of support that was received
4a. The amount of support that was received
4a. The amount of support that was received
4a. The amount of support that was received
4a. The amount of support that was received
What was the amount of support that [ID] received from this person?
(KSh)
Children who were in school during the past 6 months (including children living away from the household).
91
2501
10
26000
1851.967
4484.165
4b. Who was the main contibutor
4b. Who was the main contibutor
4b. Who was the main contibutor
4b. Who was the main contibutor
4b. Who was the main contibutor
Who was the main contributor?
Enter HHID of the main contributor
Children who were in school during the past 6 months (including children living away from the household).
91
2501
5. Anyone else contributed towards the education of child in
5. Anyone else contributed towards the education of child in
5. Anyone else contributed towards the education of child in
5. Anyone else contributed towards the education of child in
5. Anyone else contributed towards the education of child in
Has anyone else in your household (except your spouse) contributed towards the education of [ID] in 2nd term 2006?
If answer is 2 or 3 > Go to 6 (eeb - variable name in dataset).
Children who were in school during the past 6 months (including children living away from the household).
2592
1
Yes
2
No
3
N/A
8
5a. The amount of support that was received
5a. The amount of support that was received
5a. The amount of support that was received
5a. The amount of support that was received
5a. The amount of support that was received
What was the amount of support that [ID] received from this person?
Children who were in school during the past 6 months (including children living away from the household).
76
2516
11000
855.513
2017.261
5b. Who was the main contibutor
5b. Who was the main contibutor
5b. Who was the main contibutor
5b. Who was the main contibutor
5b. Who was the main contibutor
Who was the main contributor?
Enter HHID of the main contributor.
Children who were in school during the past 6 months (including children living away from the household).
76
2516
6. Anyone from outside contributed towards the education of
6. Anyone from outside contributed towards the education of
6. Anyone from outside contributed towards the education of
6. Anyone from outside contributed towards the education of
6. Anyone from outside contributed towards the education of
Has any person outside of your household contributed towards the education of [ID] in 2005 (include all 3 terms)?
If answer is 2 > Go to 8 (ee8 - variable name in dataset).
Children who were in school during the past 6 months (including children living away from the household).
2592
1
Yes
2
No
3
8
9
6a. The amount of support that was received
6a. The amount of support that was received
6a. The amount of support that was received
6a. The amount of support that was received
6a. The amount of support that was received
What was the amount of support that [ID] received from this person?
(KSh)
Children who were in school during the past 6 months (including children living away from the household).
263
2329
20
60000
4479.376
8229.36
6b. Who was the main contibutor
6b. Who was the main contibutor
6b. Who was the main contibutor
6b. Who was the main contibutor
6b. Who was the main contibutor
Who was the main contributor?
Enter IRID of the main contributor
Children who were in school during the past 6 months (including children living away from the household).
263
7. Anyone from outside contributed towards the education of
7. Anyone from outside contributed towards the education of
7. Anyone from outside contributed towards the education of
7. Anyone from outside contributed towards the education of
7. Anyone from outside contributed towards the education of
Has any person outside of your household contributed towards the education of [ID] in 1st term 2006?
If answer is 2 > Go to 8 (ee8 - variable name in dataset).
Children who were in school during the past 6 months (including children living away from the household).
2592
1
Yes
2
No
3
8
9
7a. The amount of support that was received
7a. The amount of support that was received
7a. The amount of support that was received
7a. The amount of support that was received
7a. The amount of support that was received
What was the amount of support that [ID] received from this person?
Children who were in school during the past 6 months (including children living away from the household).
230
2362
10
70000
3106.704
6822.405
7b. Who was the main contibutor
7b. Who was the main contibutor
7b. Who was the main contibutor
7b. Who was the main contibutor
7b. Who was the main contibutor
Who was the main contributor?
Enter IRID of the main contributor.
Children who were in school during the past 6 months (including children living away from the household).
230
8. Anyone from outside contributed towards the education of
8. Anyone from outside contributed towards the education of
8. Anyone from outside contributed towards the education of
8. Anyone from outside contributed towards the education of
8. Anyone from outside contributed towards the education of
Has any person outside of your household contributed towards the education of [ID] in 2nd term 2006?
If answer is 2 or 3 > Go to next child.
Children who were in school during the past 6 months (including children living away from the household).
2592
1
Yes
2
No
3
N/A
8
9
8a. The amount of support that was received
8a. The amount of support that was received
8a. The amount of support that was received
8a. The amount of support that was received
8a. The amount of support that was received
What was the amount of support that [ID] received from this person?
Children who were in school during the past 6 months (including children living away from the household).
151
2441
20
20000
1772.298
3350.146
8b. Who was the main contibutor
8b. Who was the main contibutor
8b. Who was the main contibutor
8b. Who was the main contibutor
8b. Who was the main contibutor
Who was the main contributor?
Enter IRID of the main contributor.
Children who were in school during the past 6 months (including children living away from the household).
151
9. How frequently missed days of school in past year
9. How frequently missed days of school in past year
9. How frequently missed days of school in past year
9. How frequently missed days of school in past year
9. How frequently missed days of school in past year
How frequently has [ID] missed days of school in the past year (for any reason)?
Children who were in school during the past 6 months (including children living away from the household).
2592
1
Never
2
Very few times
3
Almost half the time
4
Regularly
8
9
_merge representing educexp1
_merge representing educexp1
_merge representing educexp1
_merge representing educexp1
_merge representing educexp1
2592
1
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
5401
103
99975
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
5401
1
8
Health Module
Health Module
Health Module
Health Module
Health Module
5401
1
1
1
Yes
2
No
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
5401
1
8
Day of interview
Day of interview
Day of interview
Day of interview
Day of interview
Date of Interview. Day.
5401
1
31
Month of interview
Month of interview
Month of interview
Month of interview
Month of interview
Date of Interview. Month.
5401
1
10
Year of interview
Year of interview
Year of interview
Year of interview
Year of interview
Date of Interview. Year.
5401
2006
2006
Count Section A
Count Section A
Count Section A
Count Section A
Count Section A
5401
1
15
Count Section B
Count Section B
Count Section B
Count Section B
Count Section B
5401
1
15
Count Section D
Count Section D
Count Section D
Count Section D
Count Section D
5401
15
Line number
Line number
Line number
Line number
Line number
All household members.
5401
ID Code
ID Code
ID Code
ID Code
ID Code
ID Code of Individual
[Copy from household roster]
All household members.
5401
1
25
Had any illness during past 4 weeks
Had any illness during past 4 weeks
Had any illness during past 4 weeks
Had any illness during past 4 weeks
Had any illness during past 4 weeks
During the past 4 weeks has [NAME] had any illness or injury, for example, has [NAME] had a cough, cold, diarrhea, an injury due to an accident or any other illness?
If answer is 4 > Go to section B (hb01 - variable name in dataset).
All household members.
5373
28
1
9
1
Yes, illness
2
Yes, injury
3
Yes, illness and injury
4
No
9
Sysmiss
How long ago did it start (Amount of time)
How long ago did it start (Amount of time)
How long ago did it start (Amount of time)
How long ago did it start (Amount of time)
How long ago did it start (Amount of time)
If Illness: How long ago did this illness start?
If injury: When did this injury happen?
Amount of time.
IF MORE THAN ONE, ASK ABOUT MOST RECENT ILLNESS or INJURY.
All household members.
1384
4017
1
99
How long ago did it start (Time unit)
How long ago did it start (Time unit)
How long ago did it start (Time unit)
How long ago did it start (Time unit)
How long ago did it start (Time unit)
If Illness: How long ago did this illness start?
If injury: When did this injury happen?
Time unit.
IF MORE THAN ONE, ASK ABOUT MOST RECENT ILLNESS or INJURY.
All household members.
1380
4021
2
6
1
Minutes
2
Hours
3
Days
4
Weeks
5
Months
6
Year
Sysmiss
Begin less than 6 months ago
Begin less than 6 months ago
Begin less than 6 months ago
Begin less than 6 months ago
Begin less than 6 months ago
Did this illness begin less than six months ago?
If answer is 1 > Go to 7 (h07 - variable name in dataset).
All household members.
1380
4021
1
8
1
Yes
2
No
8
Sysmiss
Has had any other illness during the past 4 weeks
Has had any other illness during the past 4 weeks
Has had any other illness during the past 4 weeks
Has had any other illness during the past 4 weeks
Has had any other illness during the past 4 weeks
During the past 4 weeks has [NAME] had any other illness or injuries?
If answer is 2 > Go to section B (hb01- variable name in dataset).
All household members.
282
5119
1
8
1
Yes
2
No
8
Sysmiss
How long ago did it start (Amount of time)
How long ago did it start (Amount of time)
How long ago did it start (Amount of time)
How long ago did it start (Amount of time)
How long ago did it start (Amount of time)
If Illness: How long ago did this illness start?
If injury: When did this injury happen?
Amount of time.
IF MORE THAN ONE, ASK ABOUT MOST RECENT ILLNESS or INJURY.
All household members.
13
5388
2
98
How long ago did it start (Time unit)
How long ago did it start (Time unit)
How long ago did it start (Time unit)
How long ago did it start (Time unit)
How long ago did it start (Time unit)
If Illness: How long ago did this illness start?
If injury: When did this injury happen?
Time unit.
IF MORE THAN ONE, ASK ABOUT MOST RECENT ILLNESS or INJURY.
All household members.
13
5388
4
8
1
Minutes
2
Hours
3
Days
4
Weeks
5
Months
6
Year
8
Sysmiss
Begin less than 6 months ago
Begin less than 6 months ago
Begin less than 6 months ago
Begin less than 6 months ago
Begin less than 6 months ago
Did this illness begin less than six months ago?
If answer is 2 > Go to section B (hb01- variable name in dataset).
All household members.
12
5389
1
8
1
Yes
2
No
8
Sysmiss
For how many days did suffer
For how many days did suffer
For how many days did suffer
For how many days did suffer
For how many days did suffer
For how many days did [NAME] suffer from this illness or injury (SINCE DATE THAT ILLNESS BEGAN)?
[Number of days]
All household members.
1105
4296
120
Illness A:
Illness A:
Illness A:
Illness A:
Illness A:
If illness: can you describe the symptoms that [NAME] suffered from during this illness? What is/was wrong?
Record up to 5 symptom codes.
All household members.
1101
4300
1
99
1
Diarrhea (acute)
2
Diarrhea (chronic, 1 month or more)
3
Weight loss (major)
4
Fever (acute)
5
Fever (recurring)
6
Skin rash
7
Weakness
8
Severe headache
9
Fainting
10
Chills (feeling hot and cold)
11
Vomiting
12
Cough
13
Productive cough
14
Coughing blood
15
Pain on passing urine
16
Genital sores
17
Mental disorder
18
Abdominal pain
19
Sore throat
20
Difficulty breathing
21
Burn
22
Fracture
23
Wound
24
Child birth
25
Ameobeosis
26
Other (specify)
Illness B:
Illness B:
Illness B:
Illness B:
Illness B:
If illness: can you describe the symptoms that [NAME] suffered from during this illness? What is/was wrong?
Record up to 5 symptom codes.
All household members.
871
4530
1
34
1
Diarrhea (acute)
2
Diarrhea (chronic, 1 month or more)
3
Weight loss (major)
4
Fever (acute)
5
Fever (recurring)
6
Skin rash
7
Weakness
8
Severe headache
9
Fainting
10
Chills (feeling hot and cold)
11
Vomiting
12
Cough
13
Productive cough
14
Coughing blood
15
Pain on passing urine
16
Genital sores
17
Mental disorder
18
Abdominal pain
19
Sore throat
20
Difficulty breathing
21
Burn
22
Fracture
23
Wound
24
Child birth
25
Ameobeosis
26
Other (specify)
Illness C:
Illness C:
Illness C:
Illness C:
Illness C:
If illness: can you describe the symptoms that [NAME] suffered from during this illness? What is/was wrong?
Record up to 5 symptom codes.
All household members.
443
4958
1
34
1
Diarrhea (acute)
2
Diarrhea (chronic, 1 month or more)
3
Weight loss (major)
4
Fever (acute)
5
Fever (recurring)
6
Skin rash
7
Weakness
8
Severe headache
9
Fainting
10
Chills (feeling hot and cold)
11
Vomiting
12
Cough
13
Productive cough
14
Coughing blood
15
Pain on passing urine
16
Genital sores
17
Mental disorder
18
Abdominal pain
19
Sore throat
20
Difficulty breathing
21
Burn
22
Fracture
23
Wound
24
Child birth
25
Ameobeosis
26
Other (specify)
Illness D:
Illness D:
Illness D:
Illness D:
Illness D:
If illness: can you describe the symptoms that [NAME] suffered from during this illness? What is/was wrong?
Record up to 5 symptom codes.
All household members.
115
5286
1
34
1
Diarrhea (acute)
2
Diarrhea (chronic, 1 month or more)
3
Weight loss (major)
4
Fever (acute)
5
Fever (recurring)
6
Skin rash
7
Weakness
8
Severe headache
9
Fainting
10
Chills (feeling hot and cold)
11
Vomiting
12
Cough
13
Productive cough
14
Coughing blood
15
Pain on passing urine
16
Genital sores
17
Mental disorder
18
Abdominal pain
19
Sore throat
20
Difficulty breathing
21
Burn
22
Fracture
23
Wound
24
Child birth
25
Ameobeosis
26
Other (specify)
Illness E:
Illness E:
Illness E:
Illness E:
Illness E:
If illness: can you describe the symptoms that [NAME] suffered from during this illness? What is/was wrong?
Record up to 5 symptom codes.
All household members.
15
5386
1
34
1
Diarrhea (acute)
2
Diarrhea (chronic, 1 month or more)
3
Weight loss (major)
4
Fever (acute)
5
Fever (recurring)
6
Skin rash
7
Weakness
8
Severe headache
9
Fainting
10
Chills (feeling hot and cold)
11
Vomiting
12
Cough
13
Productive cough
14
Coughing blood
15
Pain on passing urine
16
Genital sores
17
Mental disorder
18
Abdominal pain
19
Sore throat
20
Difficulty breathing
21
Burn
22
Fracture
23
Wound
24
Child birth
25
Ameobeosis
26
Other (specify)
Illness (Other)
Illness (Other)
Illness (Other)
Illness (Other)
Illness (Other)
If illness: can you describe the symptoms that [NAME] suffered from during this illness? What is/was wrong? Other (specify).
All household members.
104
Days unable to carry out activities
Days unable to carry out activities
Days unable to carry out activities
Days unable to carry out activities
Days unable to carry out activities
For how many days was [NAME] unable to carry out his/her usual activities because of this illness or injury?
[Number of days]
If none write zero.
If answer is 0 > Go to 12 (h12 - variable name in dataset).
All household members.
1105
4296
99
Person 8 or older
Person 8 or older
Person 8 or older
Person 8 or older
Person 8 or older
Enumerator: Is this person 8 or older?
If answer is 2 > Go to 12 (h12 - variable name in dataset).
All household members.
553
4848
1
8
1
Yes
2
No
8
Sysmiss
Who was performing work
Who was performing work
Who was performing work
Who was performing work
Who was performing work
During [NAME’s] illness who was mainly performing his/her work?
Write HHID or IRID.
All household members.
436
4965
1
98
Anyone been consulted for treating illness
Anyone been consulted for treating illness
Anyone been consulted for treating illness
Anyone been consulted for treating illness
Anyone been consulted for treating illness
Has anyone been consulted for treating this illness or injury? For example a doctor, nurse, TBA, traditional healer, pharmacist, etc
If answer is 2 > Go to 31 (h31 - variable name in dataset).
All household members.
1105
4296
1
2
1
Yes
2
No
Sysmiss
Where did first go for advice/treatment
Where did first go for advice/treatment
Where did first go for advice/treatment
Where did first go for advice/treatment
Where did first go for advice/treatment
Where did [NAME] first go for advice or treatment?
If answer is 15 > Go to 20 (h20 - variable name in dataset).
All household members.
924
4477
1
15
1
National Referral Hosp. (Kenyatta, Moi)
2
Government District/Provincial Hosp.
3
Mosoriot Rural Health Center
4
Government Health Center (exc. Mosoriot)
5
Government dispensary
6
Mission hospital/clinic
7
Other private hospital/clinic
8
Chemist/pharmacy
9
Private doctor (like priv. clinic)
10
Mobile clinic
11
Community health worker
12
Retail shop
13
Herbalist/traditional healer
14
Relative/friend
15
Other (specify)
Sysmiss
Where did first go for advice/treatment (Other)
Where did first go for advice/treatment (Other)
Where did first go for advice/treatment (Other)
Where did first go for advice/treatment (Other)
Where did first go for advice/treatment (Other)
Where did [NAME] first go for advice or treatment? Other (specify).
All household members.
1
How long did it take to travel - Hours
How long did it take to travel - Hours
How long did it take to travel - Hours
How long did it take to travel - Hours
How long did it take to travel - Hours
How long did it take [NAME] to travel to this establishment? Hours.
RECORD TIME FOR ONE WAY JOURNEY.
All household members.
923
4478
99
How long did it take to travel - Minutes
How long did it take to travel - Minutes
How long did it take to travel - Minutes
How long did it take to travel - Minutes
How long did it take to travel - Minutes
How long did it take [NAME] to travel to this establishment? Minutes.
RECORD TIME FOR ONE WAY JOURNEY.
All household members.
922
4479
99
Spend a night at establishment
Spend a night at establishment
Spend a night at establishment
Spend a night at establishment
Spend a night at establishment
Did [NAME] have to spend a night in this establishment because of the illness or injury?
If answer is 2 > Go to 20 (h20 - variable name in dataset).
All household members.
923
4478
1
2
1
Yes
2
No
Sysmiss
How many nights
How many nights
How many nights
How many nights
How many nights
How many nights in total?
All household members.
36
5365
1
30
How much money has paid for stay at establishment
How much money has paid for stay at establishment
How much money has paid for stay at establishment
How much money has paid for stay at establishment
How much money has paid for stay at establishment
How much money has your household paid or will your household pay altogether for the stay in this establishment?
All household members.
36
5365
9450
How many times did vist the establishemnt
How many times did vist the establishemnt
How many times did vist the establishemnt
How many times did vist the establishemnt
How many times did vist the establishemnt
How many times did [NAME] visit this establishment for this illness or injury?
All household members.
36
5365
5
How much household pay for all visits at the establishement
How much household pay for all visits at the establishement
How much household pay for all visits at the establishement
How much household pay for all visits at the establishement
How much household pay for all visits at the establishement
How much did your household pay for all of the visits to this establishment for this injury or illness?
IN CASH & KIND.
IF FREE WRITE 0.
Exclude transport costs and medicine costs.
All household members.
36
5365
22905
Seek advice or care at any other establishment
Seek advice or care at any other establishment
Seek advice or care at any other establishment
Seek advice or care at any other establishment
Seek advice or care at any other establishment
Did [NAME] seek advice or care at any other establishment for this illness or injury?
If answer is 2 > Go to 31 (h31 - variable name in dataset).
All household members.
924
4477
1
2
1
Yes
2
No
Sysmiss
Where was second place sought care
Where was second place sought care
Where was second place sought care
Where was second place sought care
Where was second place sought care
Where was the second place that [NAME] sought care or advice?
If answer is 15 > Go to 28 (h28 - variable name in dataset).
All household members.
35
5366
1
13
1
National Referral Hosp. (Kenyatta, Moi)
2
Government District/Provincial Hosp.
3
Mosoriot Rural Health Center
4
Government Health Center (exc. Mosoriot)
5
Government dispensary
6
Mission hospital/clinic
7
Other private hospital/clinic
8
Chemist/pharmacy
9
Private doctor (like priv. clinic)
10
Mobile clinic
11
Community health worker
12
Retail shop
13
Herbalist/traditional healer
14
Relative/friend
15
Other (specify)
Sysmiss
Where was second place sought care (Other)
Where was second place sought care (Other)
Where was second place sought care (Other)
Where was second place sought care (Other)
Where was second place sought care (Other)
Where was the second place that [NAME] sought care or advice? Other (specify).
All household members.
How long did it take to travel (hrs)
How long did it take to travel (hrs)
How long did it take to travel (hrs)
How long did it take to travel (hrs)
How long did it take to travel (hrs)
How long did it take [NAME] to travel to this establishment? Hours.
RECORD TIME FOR ONE WAY JOURNEY.
All household members.
35
5366
15
How long did it take to establishement (mins)
How long did it take to establishement (mins)
How long did it take to establishement (mins)
How long did it take to establishement (mins)
How long did it take to establishement (mins)
How long did it take [NAME] to travel to this establishment? Mintues.
RECORD TIME FOR ONE WAY JOURNEY.
All household members.
35
5366
50
Spend night at establishment
Spend night at establishment
Spend night at establishment
Spend night at establishment
Spend night at establishment
Did [NAME] have to spend a night in this establishment because of the illness or injury?
If answer is 2 > Go to 26 (h26 - variable name in dataset).
All household members.
35
5366
1
2
1
Yes
2
No
Sysmiss
How many nights
How many nights
How many nights
How many nights
How many nights
How many nights?
All household members.
7
5394
1
14
How much money pay for stay at establishment
How much money pay for stay at establishment
How much money pay for stay at establishment
How much money pay for stay at establishment
How much money pay for stay at establishment
How much money has your household paid or will your household pay altogether for the stay in this establishment?
All household members.
7
5394
19400
How many times visited the establishment
How many times visited the establishment
How many times visited the establishment
How many times visited the establishment
How many times visited the establishment
How many times did [NAME] visit this establishment for this illness or injury?
All household members.
35
5366
16
How much household pay for all visits at the establishement
How much household pay for all visits at the establishement
How much household pay for all visits at the establishement
How much household pay for all visits at the establishement
How much household pay for all visits at the establishement
How much did your household pay for all of the visits to this establishment for this injury or illness?
IN CASH & KIND.
IF FREE WRITE 0.
Exclude transport costs.
Exclude medicine costs.
All household members.
35
5366
19400
Did seek care at any other establishement
Did seek care at any other establishement
Did seek care at any other establishement
Did seek care at any other establishement
Did seek care at any other establishement
Did [NAME] seek care at any other establishment for this illness or injury?
If answer is 2 > Go to 31 (h31 - variable name in dataset).
All household members.
35
5366
1
2
1
Yes
2
No
Sysmiss
How many other establishment
How many other establishment
How many other establishment
How many other establishment
How many other establishment
How many other establishments did [NAME] visit?
All household members.
2
5399
1
2
How much money was spent for all visits
How much money was spent for all visits
How much money was spent for all visits
How much money was spent for all visits
How much money was spent for all visits
How much money was spent for all visits to other establishments for this illness or injury?
All household members.
2
5399
4000
7200
Confined to bed at home
Confined to bed at home
Confined to bed at home
Confined to bed at home
Confined to bed at home
Was [NAME] at any time confined to his/her bed at home for this illness or injury?
If answer is 2 > Go to 33 (h33 - variable name in dataset).
All household members.
1105
4296
1
9
1
Yes
2
No
9
Sysmiss
Who was caring most of the time
Who was caring most of the time
Who was caring most of the time
Who was caring most of the time
Who was caring most of the time
Who in your household was caring for [NAME] most of the time?
Use HHID or IRID or 98 nobody.
All household members.
376
Does household have insurance
Does household have insurance
Does household have insurance
Does household have insurance
Does household have insurance
Does your household have any health insurance?
All household members.
1104
4297
1
8
1
NHIF
2
Private
3
Other
4
None
8
Sysmiss
How much has been spent for transportation
How much has been spent for transportation
How much has been spent for transportation
How much has been spent for transportation
How much has been spent for transportation
How much has been spent altogether for transportation to health care for this illness or injury?
All household members.
1105
4296
6000
How much has been spent on medication
How much has been spent on medication
How much has been spent on medication
How much has been spent on medication
How much has been spent on medication
How much has been spent altogether for medicines (including traditional medicines) for this illness?
All household members.
1105
4296
18800
What was the amount of total cost by employer
What was the amount of total cost by employer
What was the amount of total cost by employer
What was the amount of total cost by employer
What was the amount of total cost by employer
What was the amount of [NAME's] total costs paid for by an employer?
If Not Employed: List N/A.
All household members.
1102
4299
200
What was the amount of total cost by persons outside
What was the amount of total cost by persons outside
What was the amount of total cost by persons outside
What was the amount of total cost by persons outside
What was the amount of total cost by persons outside
What was the amount of [NAME's] total costs paid for by persons outside your household (like family members)?
*exclude loans.
* include transfers from groups.
All household members.
1105
4296
10500
Still suffering from this illness
Still suffering from this illness
Still suffering from this illness
Still suffering from this illness
Still suffering from this illness
Is [NAME] still suffering from this illness or injury today?
All household members.
1105
4296
1
9
1
Yes
2
No
9
Sysmiss
Was illness diagnosed by a health professional
Was illness diagnosed by a health professional
Was illness diagnosed by a health professional
Was illness diagnosed by a health professional
Was illness diagnosed by a health professional
Was [NAME's] illness diagnosed by a health professional?
If answer is 2 > Go to 41 (h41 - variable name in dataset).
All household members.
1105
4296
1
2
1
Yes
2
No
Sysmiss
What illness professional think
What illness professional think
What illness professional think
What illness professional think
What illness professional think
What illness did the health practitioner think [NAME] had?
If multiple illnesses, list most recent.
All household members.
682
4719
1
99
1
HIV/AIDS
2
Asthma
3
Bilharzia/ Shistosomiasis
4
Cancer
5
Diarrhea
6
Dysentry
7
Fracture/break
8
Gnorrhea
9
Intestinal Parisites
10
Malaria
11
Malnutrition (Kwashiorkor/Marasmus)
12
Measles
13
Meningitis
14
Poisoning
15
Polio
16
Syphilis
17
Tetanus
18
Tuberculosis
19
Typhoid
20
Urinary Infection
21
Witchcraft
22
Other STD (specify)
23
Other illness (specify)
24
Other injury (specify)
30
Common cold
31
Pneumonia
32
Diabetes
99
Don’t know
What illness professional think (Other)
What illness professional think (Other)
What illness professional think (Other)
What illness professional think (Other)
What illness professional think (Other)
What illness did the health practitioner think [NAME] had? Other (specify).
If multiple illnesses, list most recent.
All household members.
88
What illness do you think (Name) is suffering
What illness do you think (Name) is suffering
What illness do you think (Name) is suffering
What illness do you think (Name) is suffering
What illness do you think (Name) is suffering
What illness do you think [NAME] is suffering from?
All household members.
1105
4296
1
99
1
HIV/AIDS
2
Asthma
3
Bilharzia/ Shistosomiasis
4
Cancer
5
Diarrhea
6
Dysentry
7
Fracture/break
8
Gnorrhea
9
Intestinal Parisites
10
Malaria
11
Malnutrition (Kwashiorkor/Marasmus)
12
Measles
13
Meningitis
14
Poisoning
15
Polio
16
Syphilis
17
Tetanus
18
Tuberculosis
19
Typhoid
20
Urinary Infection
21
Witchcraft
22
Other STD (specify)
23
Other illness (specify)
24
Other injury (specify)
30
Common cold
31
Pneumonia
32
Diabetes
99
Don’t know
What illness do you think (Name) is suffering (Other)
What illness do you think (Name) is suffering (Other)
What illness do you think (Name) is suffering (Other)
What illness do you think (Name) is suffering (Other)
What illness do you think (Name) is suffering (Other)
What illness do you think [NAME] is suffering from? Other (specify).
All household members.
143
Has been recurring problem
Has been recurring problem
Has been recurring problem
Has been recurring problem
Has been recurring problem
Has this been a recurring problem?
All household members.
1105
4296
1
2
1
Yes
2
No
Sysmiss
How many times in the past 6 months has been stricken with s
How many times in the past 6 months has been stricken with s
How many times in the past 6 months has been stricken with s
How many times in the past 6 months has been stricken with s
How many times in the past 6 months has been stricken with s
How many times in the past 6 months has [NAME] been stricken with the same condition?
All household members.
101
5300
1
98
How many other illness did have in past 4 weeks
How many other illness did have in past 4 weeks
How many other illness did have in past 4 weeks
How many other illness did have in past 4 weeks
How many other illness did have in past 4 weeks
How many other illnesses or injuries did [NAME] have in the past 4 weeks?
If answer is 0 > Go to section B (hb01 - variable name in dataset).
All household members.
1105
4296
98
How much household spend on all these other illness in past
How much household spend on all these other illness in past
How much household spend on all these other illness in past
How much household spend on all these other illness in past
How much household spend on all these other illness in past
How much did your household spend on all of these other illness or injuries in the past 4 weeks, including the cost of treatment, medicines, transportation and other expenses connected with these illnesses?
Exclude expenses incurred jointly with first illness.
All household members.
30
5371
17000
For how many days was unable to carry out normal activities
For how many days was unable to carry out normal activities
For how many days was unable to carry out normal activities
For how many days was unable to carry out normal activities
For how many days was unable to carry out normal activities
In total, for how many days was [NAME] unable to carry out his/her normal activities because of these other illnesses or injuries in the past 4 weeks?
Exclude days incurred jointly with first illness
All household members.
30
5371
98
5373
28
3
3
3
Sysmiss
Line number
Line number
Line number
Line number
Line number
All household members.
5401
ID code
ID code
ID code
ID code
ID code
ID
All household members.
5373
28
1
25
1. Has been living with any health problem
1. Has been living with any health problem
1. Has been living with any health problem
1. Has been living with any health problem
1. Has been living with any health problem
Has [NAME] been living with any health problems for more than 6 months?
If answer is 2 > Go to 8 (hb08 - variable name in dataset).
All household members.
5373
28
1
9
1
Yes
2
No
3
8
9
Sysmiss
2. How long ago did problem start (Amount of time)
2. How long ago did problem start (Amount of time)
2. How long ago did problem start (Amount of time)
2. How long ago did problem start (Amount of time)
2. How long ago did problem start (Amount of time)
How long ago did this problem start? Amt of time.
All household members.
935
4466
1
99
2. How long ago did problem start (Time unit)
2. How long ago did problem start (Time unit)
2. How long ago did problem start (Time unit)
2. How long ago did problem start (Time unit)
2. How long ago did problem start (Time unit)
How long ago did this problem start? Time unit.
All household members.
935
4466
1
9
1
Minutes
2
Hours
3
Days
4
Weeks
5
Months
6
Year
8
9
Sysmiss
3. Has condition been diagnosed by health professional
3. Has condition been diagnosed by health professional
3. Has condition been diagnosed by health professional
3. Has condition been diagnosed by health professional
3. Has condition been diagnosed by health professional
Has this condition been diagnosed by a health professional?
If answer is 2 > Go to 5 (hb05a - variable name in dataset).
All household members.
935
4466
1
8
1
Yes
2
No
8
Sysmiss
4. What condition did health professional think
4. What condition did health professional think
4. What condition did health professional think
4. What condition did health professional think
4. What condition did health professional think
What condition did the health professional think [NAME] have?
All household members.
870
4531
1
99
1
HIV/AIDS
2
Asthma
3
Bilharzia/ Shistosomiasis
4
Cancer
5
Diarrhea
6
Dysentry
7
Fracture/break
8
Gnorrhea
9
Intestinal Parisites
10
Malaria
11
Malnutrition (Kwashiorkor/Marasmus)
12
Measles
13
Meningitis
14
Poisoning
15
Polio
16
Syphilis
17
Tetanus
18
Tuberculosis
19
Typhoid
20
Urinary Infection
21
Witchcraft
22
Other STD (specify)
23
Other illness (specify)
24
Other injury (specify)
30
Common cold
31
Pneumonia
32
Diabetes
99
Don’t know
What condition did health professional think (Other)
What condition did health professional think (Other)
What condition did health professional think (Other)
What condition did health professional think (Other)
What condition did health professional think (Other)
What condition did the health professional think [NAME] have? Other (specify).
All household members.
162
5. Symptoms have A:
5. Symptoms have A:
5. Symptoms have A:
5. Symptoms have A:
5. Symptoms have A:
What symptoms does [NAME] have?
List up to 4.
All household members.
854
4547
1
99
1
Diarrhea (acute)
2
Diarrhea (chronic, 1 month or more)
3
Weight loss (major)
4
Fever (acute)
5
Fever (recurring)
6
Skin rash
7
Weakness
8
Severe headache
9
Fainting
10
Chills (feeling hot and cold)
11
Vomiting
12
Cough
13
Productive cough
14
Coughing blood
15
Pain on passing urine
16
Genital sores
17
Mental disorder
18
Abdominal pain
19
Sore throat
20
Difficulty breathing
21
Burn
22
Fracture
23
Wound
24
Child birth
25
Ameobeosis
26
Other (specify)
30
Joint pain
31
Running nose
32
Chest pain
33
Peptic Ulcer
34
Loss of Appetite
35
Vaginal Discharge
Symptoms have B:
Symptoms have B:
Symptoms have B:
Symptoms have B:
Symptoms have B:
What symptoms does [NAME] have?
List up to 4.
All household members.
520
4881
1
98
1
Diarrhea (acute)
2
Diarrhea (chronic, 1 month or more)
3
Weight loss (major)
4
Fever (acute)
5
Fever (recurring)
6
Skin rash
7
Weakness
8
Severe headache
9
Fainting
10
Chills (feeling hot and cold)
11
Vomiting
12
Cough
13
Productive cough
14
Coughing blood
15
Pain on passing urine
16
Genital sores
17
Mental disorder
18
Abdominal pain
19
Sore throat
20
Difficulty breathing
21
Burn
22
Fracture
23
Wound
24
Child birth
25
Ameobeosis
26
Other (specify)
30
Joint pain
31
Running nose
32
Chest pain
33
Peptic Ulcer
34
Loss of Appetite
35
Vaginal Discharge
Symptoms have C:
Symptoms have C:
Symptoms have C:
Symptoms have C:
Symptoms have C:
What symptoms does [NAME] have?
List up to 4.
All household members.
243
5158
1
34
1
Diarrhea (acute)
2
Diarrhea (chronic, 1 month or more)
3
Weight loss (major)
4
Fever (acute)
5
Fever (recurring)
6
Skin rash
7
Weakness
8
Severe headache
9
Fainting
10
Chills (feeling hot and cold)
11
Vomiting
12
Cough
13
Productive cough
14
Coughing blood
15
Pain on passing urine
16
Genital sores
17
Mental disorder
18
Abdominal pain
19
Sore throat
20
Difficulty breathing
21
Burn
22
Fracture
23
Wound
24
Child birth
25
Ameobeosis
26
Other (specify)
30
Joint pain
31
Running nose
32
Chest pain
33
Peptic Ulcer
34
Loss of Appetite
35
Vaginal Discharge
Symptoms have D:
Symptoms have D:
Symptoms have D:
Symptoms have D:
Symptoms have D:
What symptoms does [NAME] have?
List up to 4.
All household members.
96
5305
1
34
1
Diarrhea (acute)
2
Diarrhea (chronic, 1 month or more)
3
Weight loss (major)
4
Fever (acute)
5
Fever (recurring)
6
Skin rash
7
Weakness
8
Severe headache
9
Fainting
10
Chills (feeling hot and cold)
11
Vomiting
12
Cough
13
Productive cough
14
Coughing blood
15
Pain on passing urine
16
Genital sores
17
Mental disorder
18
Abdominal pain
19
Sore throat
20
Difficulty breathing
21
Burn
22
Fracture
23
Wound
24
Child birth
25
Ameobeosis
26
Other (specify)
30
Joint pain
31
Running nose
32
Chest pain
33
Peptic Ulcer
34
Loss of Appetite
35
Vaginal Discharge
Symptoms have (Other)
Symptoms have (Other)
Symptoms have (Other)
Symptoms have (Other)
Symptoms have (Other)
What symptoms does [NAME] have? Other (specify).
All household members.
192
6. How much money did spend on all these conditions
6. How much money did spend on all these conditions
6. How much money did spend on all these conditions
6. How much money did spend on all these conditions
6. How much money did spend on all these conditions
How much money did your household spend on all of these conditions in the past 4 weeks including the cost of reatment, medicines, transport and other expenses connected with the illness?
All household members.
935
4466
35000
7. Of this amount, what was main form of expense
7. Of this amount, what was main form of expense
7. Of this amount, what was main form of expense
7. Of this amount, what was main form of expense
7. Of this amount, what was main form of expense
All household members.
585
4816
1
9
8. How many days was not able to to carry out activities
8. How many days was not able to to carry out activities
8. How many days was not able to to carry out activities
8. How many days was not able to to carry out activities
8. How many days was not able to to carry out activities
In the past 4 weeks, for how many days was [NAME] not able to carry out his/her usual activities?
All household members.
945
4456
99
9. Person 8 or older
9. Person 8 or older
9. Person 8 or older
9. Person 8 or older
9. Person 8 or older
All household members.
205
5196
8
1
2
8
Sysmiss
10. Who was performing work
10. Who was performing work
10. Who was performing work
10. Who was performing work
10. Who was performing work
All household members.
192
11. Confined to bed at home
11. Confined to bed at home
11. Confined to bed at home
11. Confined to bed at home
11. Confined to bed at home
All household members.
946
4455
1
9
1
2
8
9
Sysmiss
12. Who was caring most of the time
12. Who was caring most of the time
12. Who was caring most of the time
12. Who was caring most of the time
12. Who was caring most of the time
All household members.
140
13. Has suffered diarrhea for a month or more
13. Has suffered diarrhea for a month or more
13. Has suffered diarrhea for a month or more
13. Has suffered diarrhea for a month or more
13. Has suffered diarrhea for a month or more
Has [NAME] suffered diarrhea for a month or more?
All household members.
5371
30
1
9
1
Yes
2
No
8
9
Sysmiss
14. Has lost much weight in recent months
14. Has lost much weight in recent months
14. Has lost much weight in recent months
14. Has lost much weight in recent months
14. Has lost much weight in recent months
Has [NAME] continuously lost weight in recent months?
All household members.
5371
30
1
9
1
Yes
2
No
8
9
Sysmiss
15. Has had a recurring fever for a month or more
15. Has had a recurring fever for a month or more
15. Has had a recurring fever for a month or more
15. Has had a recurring fever for a month or more
15. Has had a recurring fever for a month or more
Has [NAME] had a recurring fever for a month or more?
All household members.
5371
30
1
9
1
Yes
2
No
8
9
Sysmiss
16. Has suffered from any skin rash in past year
16. Has suffered from any skin rash in past year
16. Has suffered from any skin rash in past year
16. Has suffered from any skin rash in past year
16. Has suffered from any skin rash in past year
Has [NAME] suffered from any skin rash in the past year?
All household members.
5371
30
1
9
1
Yes
2
No
8
9
Sysmiss
17. Has suffered from persistent sore throat
17. Has suffered from persistent sore throat
17. Has suffered from persistent sore throat
17. Has suffered from persistent sore throat
17. Has suffered from persistent sore throat
Has [NAME] suffered from a persistent sore throat in the last 3 months? (Thrush)
All household members.
5371
30
1
9
1
Yes
2
No
8
9
Sysmiss
18. Has felt much more tired than normal
18. Has felt much more tired than normal
18. Has felt much more tired than normal
18. Has felt much more tired than normal
18. Has felt much more tired than normal
Has [NAME] felt much more tired than normal in the past 3 months?
All household members.
5371
30
1
9
1
Yes
2
No
8
9
Sysmiss
19. Has been sweating during the night
19. Has been sweating during the night
19. Has been sweating during the night
19. Has been sweating during the night
19. Has been sweating during the night
Has [NAME] been sweating during the night in the last 3 months?
All household members.
5371
30
1
9
1
Yes
2
No
8
9
Sysmiss
5373
28
3
3
3
Sysmiss
Line number
Line number
Line number
Line number
Line number
I would like to ask you for the Mosoriot Health Center's medical records number of EACH household member. This information will be kept confidential and will only be used for research purposes. Your answers to all the questionnaires will not be given to staff at the Mosoriot Health Center.
All household members.
5401
1. ID Code
1. ID Code
1. ID Code
1. ID Code
1. ID Code
ID Code
Copy the ID Code of every household member from Section 1 and Section 3 of the Household Roster.
All household members.
4796
605
1
25
2. Ever visited Mosoriot Rural Health Centre
2. Ever visited Mosoriot Rural Health Centre
2. Ever visited Mosoriot Rural Health Centre
2. Ever visited Mosoriot Rural Health Centre
2. Ever visited Mosoriot Rural Health Centre
Has [NAME] ever visited the Mosoriot Rural Health Center?
If answer is 2 > Go to next person.
All household members.
4796
605
1
9
1
Yes
2
No
8
9
Sysmiss
3. Have card with ID # for Mosoriot health records
3. Have card with ID # for Mosoriot health records
3. Have card with ID # for Mosoriot health records
3. Have card with ID # for Mosoriot health records
3. Have card with ID # for Mosoriot health records
Does [NAME] have a card with an ID number for the Mosoriot health records?
If answer is 2 or 99> Go to next person.
All household members.
2804
2597
1
9
1
Yes
2
No
8
9
88
Lost the card
99
Don’t Know
Sysmiss
4. See the card
4. See the card
4. See the card
4. See the card
4. See the card
Can I please see the card with the ID number for [NAME], or can you tell me the exact ID number for [NAME]?
All household members.
1697
3704
1
8
1
Yes – showed the card
2
Yes – reported the ID number
3
Refused to show card or tell number
4
Card not available
5
8
Sysmiss
5. Card ID number
5. Card ID number
5. Card ID number
5. Card ID number
5. Card ID number
INTERVIEWER: COPY THE NUMBER AS IT APPEARS ON THE CARD OR RECORD THE NUMBER GIVEN TO YOU BY THE RESPONDENT.
All household members.
4796
605
3
3
3
Sysmiss
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
1383
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
1383
Health Module
Health Module
Health Module
Health Module
Health Module
1383
1
Yes
2
No
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
984
399
Day of interview
Day of interview
Day of interview
Day of interview
Day of interview
Date of Interview. Day.
984
399
Month of interview
Month of interview
Month of interview
Month of interview
Month of interview
Date of Interview. Month.
984
399
Year of interview
Year of interview
Year of interview
Year of interview
Year of interview
Date of Interview. Year.
984
399
Count Section A
Count Section A
Count Section A
Count Section A
Count Section A
984
399
1
15
5.46
2.578
Count Section B
Count Section B
Count Section B
Count Section B
Count Section B
984
399
1
15
5.461
2.582
Count Section D
Count Section D
Count Section D
Count Section D
Count Section D
984
399
15
4.873
2.644
_merge representing healthc1
_merge representing healthc1
_merge representing healthc1
_merge representing healthc1
_merge representing healthc1
1383
1
Anyone had tuberclosis since Round 2
Anyone had tuberclosis since Round 2
Anyone had tuberclosis since Round 2
Anyone had tuberclosis since Round 2
Anyone had tuberclosis since Round 2
Has anyone in the household had tuberculosis since [Round 2] (including illnesses discussed in sections A or B?
If answer is 1 > Ask if respondent has a card with information about the illness.
If answer is 2 > Go to next disease.
All household members.
984
399
1
Yes
2
No
Sysmiss
Count of TB
Count of TB
Count of TB
Count of TB
Count of TB
30
1353
1
2
1.033
0.183
_merge representing healthc2
_merge representing healthc2
_merge representing healthc2
_merge representing healthc2
_merge representing healthc2
1383
1
_merge representing healthc3
_merge representing healthc3
_merge representing healthc3
_merge representing healthc3
_merge representing healthc3
1383
1
Has anyone had typhoid
Has anyone had typhoid
Has anyone had typhoid
Has anyone had typhoid
Has anyone had typhoid
Has anyone in the household had typhoid since [Round 2] (including illnesses discussed in sections A or B?
If answer is 2 > Go to next disease.
All household members.
984
399
1
Yes
2
No
Sysmiss
Count of Typhoid
Count of Typhoid
Count of Typhoid
Count of Typhoid
Count of Typhoid
102
1281
1
3
1.127
0.363
_merge representing healthc4
_merge representing healthc4
_merge representing healthc4
_merge representing healthc4
_merge representing healthc4
1383
1
_merge representing healthc5
_merge representing healthc5
_merge representing healthc5
_merge representing healthc5
_merge representing healthc5
1383
1
Anyone had menengitis
Anyone had menengitis
Anyone had menengitis
Anyone had menengitis
Anyone had menengitis
Has anyone in the household had meningitis since [Round 2] (including illnesses discussed in sections A or B?
If answer is 2 > Go to section D (hd01 in health_abd - variable name in dataset).
All household members.
984
399
1
Yes
2
No
Sysmiss
Count of menengitis
Count of menengitis
Count of menengitis
Count of menengitis
Count of menengitis
8
1375
1
1
1
_merge representing healthc7
_merge representing healthc7
_merge representing healthc7
_merge representing healthc7
_merge representing healthc7
1383
1
_merge representing healthc8
_merge representing healthc8
_merge representing healthc8
_merge representing healthc8
_merge representing healthc8
1383
1
Has anyone had malaria since Round 2
Has anyone had malaria since Round 2
Has anyone had malaria since Round 2
Has anyone had malaria since Round 2
Has anyone had malaria since Round 2
Has anyone in the household had malaria since [Round 2] (including illnesses discussed in section A)?
If answer is 2 > Go to next disease.
All household members.
984
399
1
Yes
2
No
Sysmiss
Count Malaria
Count Malaria
Count Malaria
Count Malaria
Count Malaria
673
710
1
7
1.746
1.087
_merge representing healthc9
_merge representing healthc9
_merge representing healthc9
_merge representing healthc9
_merge representing healthc9
1383
1
1383
1
3
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
1175
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
1175
Line number
Line number
Line number
Line number
Line number
All sick household members.
1175
ID code
ID code
ID code
ID code
ID code
ID Code
All sick household members.
1175
Episode number
Episode number
Episode number
Episode number
Episode number
Episode number for [NAME]
All sick household members.
1173
2
Date started (Month)
Date started (Month)
Date started (Month)
Date started (Month)
Date started (Month)
Date started. Month.
All sick household members.
1175
Date started (Year)
Date started (Year)
Date started (Year)
Date started (Year)
Date started (Year)
Date started. Year.
All sick household members.
1175
Length of episode - Time
Length of episode - Time
Length of episode - Time
Length of episode - Time
Length of episode - Time
Length of Episode.
All sick household members.
1174
1
1
98
3.743
7.094
Length of episode - Unit
Length of episode - Unit
Length of episode - Unit
Length of episode - Unit
Length of episode - Unit
Length of Episode. Time Units.
All sick household members.
1174
1
1
Minutes
2
Hours
3
Days
4
Weeks
5
Months
6
Year
8
Sysmiss
Where illness diagnosed as malaria
Where illness diagnosed as malaria
Where illness diagnosed as malaria
Where illness diagnosed as malaria
Where illness diagnosed as malaria
Where was this illness diagnosed as malaria?
All sick household members.
1173
2
1
98
11.34
25.209
1
National Referral Hosp. (Kenyatta, Moi)
2
Government District/Provincial Hosp.
3
Mosoriot Rural Health Center
4
Government Health Center (exc. Mosoriot)
5
Government dispensary
6
Mission hospital/clinic
7
Other private hospital/clinic
8
Chemist/pharmacy
9
Private doctor (like priv. clinic)
10
Mobile clinic
11
Community health worker
12
Retail shop
13
Herbalist/traditional healer
14
Relative/friend
15
Other (specify)
98
Self
Where illness diagnosed as malaria (Other)
Where illness diagnosed as malaria (Other)
Where illness diagnosed as malaria (Other)
Where illness diagnosed as malaria (Other)
Where illness diagnosed as malaria (Other)
Where was this illness diagnosed as malaria? Other (specify).
All sick household members.
Medicines used
Medicines used
Medicines used
Medicines used
Medicines used
Were any medicines used by [NAME]?
If answer is 2 > Go to next episode.
All sick household members.
1175
1
99
1.096
2.861
1
Yes
2
No
Which medicines - 1
Which medicines - 1
Which medicines - 1
Which medicines - 1
Which medicines - 1
Which medicines?
All sick household members.
1159
16
1
Antipyretics (aspro, calpol, brufen, etc)
2
Chloroquine (malaroquine, etc)
3
Sulfa combinations (fansidar,metakelfin)
4
Halofantrine (hanfan)
5
Amodiaquine (camoquine)
6
Cotrimoxazole (bactrim, septrin)
7
Artimisinin (artenam, artomothor)
8
Herbal/traditional remedies
9
Other, specify
10
Quinine
98
99
Don’t Know
Sysmiss
Which medicines - 2
Which medicines - 2
Which medicines - 2
Which medicines - 2
Which medicines - 2
Which medicines?
All sick household members.
821
354
1
Antipyretics (aspro, calpol, brufen, etc)
2
Chloroquine (malaroquine, etc)
3
Sulfa combinations (fansidar,metakelfin)
4
Halofantrine (hanfan)
5
Amodiaquine (camoquine)
6
Cotrimoxazole (bactrim, septrin)
7
Artimisinin (artenam, artomothor)
8
Herbal/traditional remedies
9
Other, specify
10
Quinine
99
Don’t Know
Sysmiss
Which medicines - 3
Which medicines - 3
Which medicines - 3
Which medicines - 3
Which medicines - 3
Which medicines?
All sick household members.
135
1040
1
Antipyretics (aspro, calpol, brufen, etc)
2
Chloroquine (malaroquine, etc)
3
Sulfa combinations (fansidar,metakelfin)
4
Halofantrine (hanfan)
5
Amodiaquine (camoquine)
6
Cotrimoxazole (bactrim, septrin)
7
Artimisinin (artenam, artomothor)
8
Herbal/traditional remedies
9
Other, specify
10
Quinine
99
Don’t Know
Sysmiss
Which medicines - 3 (Other)
Which medicines - 3 (Other)
Which medicines - 3 (Other)
Which medicines - 3 (Other)
Which medicines - 3 (Other)
Which medicines? Other (specify).
All sick household members.
14
Household ID
Household ID
Household ID
Household ID
Household ID
31
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
31
Line number
Line number
Line number
Line number
Line number
All sick household members.
31
ID code
ID code
ID code
ID code
ID code
ID Code
All sick household members.
31
Episode number
Episode number
Episode number
Episode number
Episode number
Episode number for [NAME]
All sick household members.
31
Date started (Month)
Date started (Month)
Date started (Month)
Date started (Month)
Date started (Month)
Date started. Month.
All sick household members.
31
Date started (Year)
Date started (Year)
Date started (Year)
Date started (Year)
Date started (Year)
Date started. Year.
All sick household members.
31
Length of episode - Time
Length of episode - Time
Length of episode - Time
Length of episode - Time
Length of episode - Time
Length of Episode.
All sick household members.
30
1
1
88
16.4
28.781
Length of episode - Unit
Length of episode - Unit
Length of episode - Unit
Length of episode - Unit
Length of episode - Unit
Length of Episode. Time Units.
All sick household members.
30
1
1
Minutes
2
Hours
3
Days
4
Weeks
5
Months
6
Year
8
Sysmiss
Where illness was diagnosed as tuberclosis
Where illness was diagnosed as tuberclosis
Where illness was diagnosed as tuberclosis
Where illness was diagnosed as tuberclosis
Where illness was diagnosed as tuberclosis
Where was this illness diagnosed as tuberculosis?
All sick household members.
31
1
98
9.065
23.779
1
National Referral Hosp. (Kenyatta, Moi)
2
Government District/Provincial Hosp.
3
Mosoriot Rural Health Center
4
Government Health Center (exc. Mosoriot)
5
Government dispensary
6
Mission hospital/clinic
7
Other private hospital/clinic
8
Chemist/pharmacy
9
Private doctor (like priv. clinic)
10
Mobile clinic
11
Community health worker
12
Retail shop
13
Herbalist/traditional healer
14
Relative/friend
15
Other (specify)
98
Self
Where illness was diagnosed as tuberclosis (Other)
Where illness was diagnosed as tuberclosis (Other)
Where illness was diagnosed as tuberclosis (Other)
Where illness was diagnosed as tuberclosis (Other)
Where illness was diagnosed as tuberclosis (Other)
Where was this illness diagnosed as tuberculosis? Other (specify).
All sick household members.
Medicines used
Medicines used
Medicines used
Medicines used
Medicines used
Were any medicines used by [NAME]?
If answer is 2 > Go to next episode.
All sick household members.
31
1
Yes
2
No
Which medicines - 1
Which medicines - 1
Which medicines - 1
Which medicines - 1
Which medicines - 1
Which medicines?
[* list up to 3 medicine codes]
All sick household members.
29
2
1
Streptosin
2
Pyrazinamide
3
Ethambutol
4
Isoniazid
5
Rifampicin
9
Sysmiss
Which medicines - 2
Which medicines - 2
Which medicines - 2
Which medicines - 2
Which medicines - 2
Which medicines?
[* list up to 3 medicine codes]
All sick household members.
12
19
1
Streptosin
2
Pyrazinamide
3
Ethambutol
4
Isoniazid
5
Rifampicin
Sysmiss
Which medicines - 3
Which medicines - 3
Which medicines - 3
Which medicines - 3
Which medicines - 3
Which medicines?
[* list up to 3 medicine codes]
All sick household members.
6
25
1
Streptosin
2
Pyrazinamide
3
Ethambutol
4
Isoniazid
5
Rifampicin
Sysmiss
Household ID
Household ID
Household ID
Household ID
Household ID
115
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
115
Line number
Line number
Line number
Line number
Line number
All sick household members.
115
ID Code
ID Code
ID Code
ID Code
ID Code
ID Code
All sick household members.
115
Episode number
Episode number
Episode number
Episode number
Episode number
Episode number for [NAME]
All sick household members.
115
Date started (Month)
Date started (Month)
Date started (Month)
Date started (Month)
Date started (Month)
Date started. Month.
All sick household members.
115
Date started (Year)
Date started (Year)
Date started (Year)
Date started (Year)
Date started (Year)
Date started. Year.
All sick household members.
115
Length of episode - Time
Length of episode - Time
Length of episode - Time
Length of episode - Time
Length of episode - Time
Length of Episode.
All sick household members.
115
1
20
3.4
3.834
Length of episode - Unit
Length of episode - Unit
Length of episode - Unit
Length of episode - Unit
Length of episode - Unit
Length of Episode. Time Unit.
All sick household members.
115
1
Minutes
2
Hours
3
Days
4
Weeks
5
Months
6
Year
8
Where illness was diagnosed as typhoid
Where illness was diagnosed as typhoid
Where illness was diagnosed as typhoid
Where illness was diagnosed as typhoid
Where illness was diagnosed as typhoid
Where was this illness diagnosed as typhoid?
All sick household members.
115
1
98
5.183
11.975
1
National Referral Hosp. (Kenyatta, Moi)
2
Government District/Provincial Hosp.
3
Mosoriot Rural Health Center
4
Government Health Center (exc. Mosoriot)
5
Government dispensary
6
Mission hospital/clinic
7
Other private hospital/clinic
8
Chemist/pharmacy
9
Private doctor (like priv. clinic)
10
Mobile clinic
11
Community health worker
12
Retail shop
13
Herbalist/traditional healer
14
Relative/friend
15
Other (specify)
98
Self
Where illness was diagnosed as typhoid (Other)
Where illness was diagnosed as typhoid (Other)
Where illness was diagnosed as typhoid (Other)
Where illness was diagnosed as typhoid (Other)
Where illness was diagnosed as typhoid (Other)
Where was this illness diagnosed as typhoid? Other (specify).
All sick household members.
Medicine used
Medicine used
Medicine used
Medicine used
Medicine used
Were any medicines used by [NAME]?
If answer is 2 > Go to next episode.
All sick household members.
115
1
Yes
2
No
Which medicine - 1
Which medicine - 1
Which medicine - 1
Which medicine - 1
Which medicine - 1
Which medicines?
[* list up to 3 medicine codes]
All sick household members.
112
3
1
Ampicillin
2
Amoxicillin
3
Septrin
4
Chloramphenicol
5
9
Sysmiss
Which medicine - 2
Which medicine - 2
Which medicine - 2
Which medicine - 2
Which medicine - 2
Which medicines?
[* list up to 3 medicine codes]
All sick household members.
45
70
1
Ampicillin
2
Amoxicillin
3
Septrin
4
Chloramphenicol
9
Sysmiss
Which medicine - 3
Which medicine - 3
Which medicine - 3
Which medicine - 3
Which medicine - 3
Which medicines?
[* list up to 3 medicine codes]
All sick household members.
14
101
1
Ampicillin
2
Amoxicillin
3
Septrin
4
Chloramphenicol
Sysmiss
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
8
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
8
Line number
Line number
Line number
Line number
Line number
All sick household members.
8
ID code
ID code
ID code
ID code
ID code
ID Code
All sick household members.
8
Episode number
Episode number
Episode number
Episode number
Episode number
Episode number for [NAME]
All sick household members.
8
Date started (Month)
Date started (Month)
Date started (Month)
Date started (Month)
Date started (Month)
Date started. Month.
All sick household members.
8
Date started (Year)
Date started (Year)
Date started (Year)
Date started (Year)
Date started (Year)
Date started. Year.
All sick household members.
8
Length of episode - Time
Length of episode - Time
Length of episode - Time
Length of episode - Time
Length of episode - Time
Length of Episode.
All sick household members.
8
1
88
16.125
30.675
Length of episode - Unit
Length of episode - Unit
Length of episode - Unit
Length of episode - Unit
Length of episode - Unit
Length of Episode. Time Unit.
All sick household members.
8
1
Minutes
2
Hours
3
Days
4
Weeks
5
Months
6
Year
8
Where illness was diagnosed
Where illness was diagnosed
Where illness was diagnosed
Where illness was diagnosed
Where illness was diagnosed
Where was this illness diagnosed as meningitis?
All sick household members.
8
1
National Referral Hosp. (Kenyatta, Moi)
2
Government District/Provincial Hosp.
3
Mosoriot Rural Health Center
4
Government Health Center (exc. Mosoriot)
5
Government dispensary
6
Mission hospital/clinic
7
Other private hospital/clinic
8
Chemist/pharmacy
9
Private doctor (like priv. clinic)
10
Mobile clinic
11
Community health worker
12
Retail shop
13
Herbalist/traditional healer
14
Relative/friend
15
Other (specify)
98
Self
Where illness was diagnosed (Other)
Where illness was diagnosed (Other)
Where illness was diagnosed (Other)
Where illness was diagnosed (Other)
Where illness was diagnosed (Other)
Where was this illness diagnosed as meningitis? Other (specify).
All sick household members.
Medicines used
Medicines used
Medicines used
Medicines used
Medicines used
Were any medicines used by [NAME]?
If answer is 2 > Go to next episode.
All sick household members.
8
1
Yes
2
No
Which medicines - 1
Which medicines - 1
Which medicines - 1
Which medicines - 1
Which medicines - 1
Which medicines?
[* list up to 3 medicine codes]
All sick household members.
8
1
Expen
2
Ampicillin
3
Chloramphenicol
4
Cefotaxine
9
Which medicines - 2
Which medicines - 2
Which medicines - 2
Which medicines - 2
Which medicines - 2
Which medicines?
[* list up to 3 medicine codes]
All sick household members.
4
4
1
Expen
2
Ampicillin
3
Chloramphenicol
4
Cefotaxine
Sysmiss
Which medicines - 3
Which medicines - 3
Which medicines - 3
Which medicines - 3
Which medicines - 3
Which medicines?
[* list up to 3 medicine codes]
All sick household members.
1
7
1
Expen
2
Ampicillin
3
Chloramphenicol
4
Cefotaxine
Sysmiss
Household ID
Household ID
Household ID
Household ID
Household ID
1382
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
1382
Housing characteristics module
Housing characteristics module
Housing characteristics module
Housing characteristics module
Housing characteristics module
1382
1
Yes
2
No
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
974
408
Day of interview
Day of interview
Day of interview
Day of interview
Day of interview
Date of Interview. Day.
974
408
Month of interview
Month of interview
Month of interview
Month of interview
Month of interview
Date of Interview. Month.
974
408
Year of interview
Year of interview
Year of interview
Year of interview
Year of interview
Date of Interview. Year.
974
408
Any new structures since Round 2
Any new structures since Round 2
Any new structures since Round 2
Any new structures since Round 2
Any new structures since Round 2
Does your household own or rent any new or additional structures since [Round 2]?
(Probe for all structures owned or rented by the household, including those rented out by the household, and also those outside the compound.)
Exclude: toilet/bathroom, chicken coop.
If answer is 2 > Go to section II.
974
408
1
Yes
2
No
Sysmiss
Count of new structures
Count of new structures
Count of new structures
Count of new structures
Count of new structures
217
1165
1
4
1.152
0.5
_merge representing housing2
_merge representing housing2
_merge representing housing2
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1382
1
Main source of drinking water
Main source of drinking water
Main source of drinking water
Main source of drinking water
Main source of drinking water
Now I would like to ask you a few questions regarding your main dwelling.
What is the main source of drinking water for members of this household?
974
408
1
Private Tap
2
Public Tap
3
Well on plot
4
Public well
5
Spring
6
Surface water (e.g. river, lake)
7
Rainwater
8
Other (specify)
Sysmiss
Main source of drinking water (Other)
Main source of drinking water (Other)
Main source of drinking water (Other)
Main source of drinking water (Other)
Main source of drinking water (Other)
What is the main source of drinking water for members of this household? Other (specify).
10
Type of toilet facility
Type of toilet facility
Type of toilet facility
Type of toilet facility
Type of toilet facility
What kind of toilet facility does your household use?
974
408
1
Traditional pit toilet
2
Ventilated improved pit latrine
3
Flush toilet
4
No facility/ bush/field
5
Other (specify)
Sysmiss
Type of toilet facility (Other)
Type of toilet facility (Other)
Type of toilet facility (Other)
Type of toilet facility (Other)
Type of toilet facility (Other)
What kind of toilet facility does your household use? Other (specify).
7
In rainy season, is there any standing water
In rainy season, is there any standing water
In rainy season, is there any standing water
In rainy season, is there any standing water
In rainy season, is there any standing water
In the RAINY SEASON, is there any standing water within 100 meters of your main dwelling?
974
408
1
Yes
2
No
Sysmiss
Main fuel used for cooking
Main fuel used for cooking
Main fuel used for cooking
Main fuel used for cooking
Main fuel used for cooking
What is the main fuel used by the household for cooking?
974
408
1
Wood
2
Charcoal
3
Gas
4
Electricity
5
Kerosene
6
Other
Sysmiss
How long does it take to nearest tarmac road - Hours
How long does it take to nearest tarmac road - Hours
How long does it take to nearest tarmac road - Hours
How long does it take to nearest tarmac road - Hours
How long does it take to nearest tarmac road - Hours
How long does it take you to walk from your home to the nearest tarmac road? Hours.
974
408
24
0.791
1.392
How long does it take to nearest tarmac road - Minutes
How long does it take to nearest tarmac road - Minutes
How long does it take to nearest tarmac road - Minutes
How long does it take to nearest tarmac road - Minutes
How long does it take to nearest tarmac road - Minutes
How long does it take you to walk from your home to the nearest tarmac road? Minutes.
974
408
55
16.434
15.147
How long does it take to Mosoriot Health Ctr - Hours
How long does it take to Mosoriot Health Ctr - Hours
How long does it take to Mosoriot Health Ctr - Hours
How long does it take to Mosoriot Health Ctr - Hours
How long does it take to Mosoriot Health Ctr - Hours
How long does it take you to travel to Mosoriot Rural Health Clinic under normal conditions? Hours.
974
408
6
0.99
1.007
How long does it take to Mosoriot Health Ctr - Minutes
How long does it take to Mosoriot Health Ctr - Minutes
How long does it take to Mosoriot Health Ctr - Minutes
How long does it take to Mosoriot Health Ctr - Minutes
How long does it take to Mosoriot Health Ctr - Minutes
How long does it take you to travel to Mosoriot Rural Health Clinic under normal conditions? Minutes.
974
408
55
20.67
16.838
_merge representing housing3
_merge representing housing3
_merge representing housing3
_merge representing housing3
_merge representing housing3
1382
1
1382
1
3
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
250
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
250
Column number
Column number
Column number
Column number
Column number
Now I would like to ask you a few questions about each of these structures/dwellings.
250
ID code for structure
ID code for structure
ID code for structure
ID code for structure
ID code for structure
ID code for each structure/ dwelling
Remember to ask about structures outside the compound
249
1
1
98
1
2
3
4
98
Sysmiss
Ownership of structure
Ownership of structure
Ownership of structure
Ownership of structure
Ownership of structure
What is the ownership status of this structure?
If answer is 1 > Go to 6 (hc06 - variable name in dataset).
If answer is 2 > Go to 5 (hc05 - variable name in dataset).
If answer is 3 > Go to 4 (hc04 - variable name in dataset).
If answer is 4 or 5 > Go to 7 (hc07 - variable name in dataset).
249
1
1
Owned and used by household members
2
Owned by HH member and rented out
3
Rented in
4
Owned by relatives (no rent paid by the household)
5
Other (specify)
Sysmiss
Ownership of structure (Other)
Ownership of structure (Other)
Ownership of structure (Other)
Ownership of structure (Other)
Ownership of structure (Other)
What is the ownership status of this structure? Other (specify).
1
Amount pay for rent per month
Amount pay for rent per month
Amount pay for rent per month
Amount pay for rent per month
Amount pay for rent per month
How much money does your household pay in rent for this structure per month?
Go to 7 (hc07 - variable name in dataset).
17
233
200
2000
941.176
557.964
Amount receive for rent per amonth
Amount receive for rent per amonth
Amount receive for rent per amonth
Amount receive for rent per amonth
Amount receive for rent per amonth
How much money does your household receive in rent for this property per month?
7
243
98
30000
6385.429
10905.455
Value of the structure
Value of the structure
Value of the structure
Value of the structure
Value of the structure
How much would this structure be worth if you sold it today?
Interviewer: If respondent is not able to do it, help him/her assess the value. In the extreme case, estimate a value yourself.
225
25
98
900000
34127.364
88222.384
Structure within the compound
Structure within the compound
Structure within the compound
Structure within the compound
Structure within the compound
Is this structure within the compound or outside the compound?
248
2
1
Within
2
Outside
Sysmiss
Main purpose of the structure
Main purpose of the structure
Main purpose of the structure
Main purpose of the structure
Main purpose of the structure
What is the main use or purpose of the structure?
For incomplete structures, ask about future use/purpose.
If answer is 2, 3, 4, 5 or 6 > Go to next structure.
249
1
1
Household living arrangements
2
Cooking
3
Storage
4
Business
5
Servant’s quarter (if servant not part of HH)
6
other
Sysmiss
Main construction material of outside wall
Main construction material of outside wall
Main construction material of outside wall
Main construction material of outside wall
Main construction material of outside wall
What is the main construction material of outside walls?
169
81
1
Mud
2
Wooden planks
3
Stone/brick/cement
4
Other (specify)
Sysmiss
Main construction material of outside wall (Other)
Main construction material of outside wall (Other)
Main construction material of outside wall (Other)
Main construction material of outside wall (Other)
Main construction material of outside wall (Other)
What is the main construction material of outside walls? Other (specify).
2
Main floor material
Main floor material
Main floor material
Main floor material
Main floor material
What is the main flooring material?
169
81
1
Natural floor: mud/dung/sand
2
Rudimentary floor: wood planks
3
Finished floor: polished wood, vinyl/tiles
4
Cement
5
Other (specify)
Sysmiss
Main floor material (Other)
Main floor material (Other)
Main floor material (Other)
Main floor material (Other)
Main floor material (Other)
What is the main flooring material? Other (specify).
Main roofing material
Main roofing material
Main roofing material
Main roofing material
Main roofing material
What is the main roofing material?
169
81
1
Grass/thatch
2
Corrugated iron (mabati)
3
Tiles
4
Other (specify)
Sysmiss
Main roofing material (Other)
Main roofing material (Other)
Main roofing material (Other)
Main roofing material (Other)
Main roofing material (Other)
What is the main roofing material? Other (specify).
1
Most windows fitted with
Most windows fitted with
Most windows fitted with
Most windows fitted with
Most windows fitted with
What are most windows fitted with?
169
81
1
Glass
2
Wood shutters
3
No cover
4
Other (specify)
5
No window
Sysmiss
Most windows fitted with (Other)
Most windows fitted with (Other)
Most windows fitted with (Other)
Most windows fitted with (Other)
Most windows fitted with (Other)
What are most windows fitted with? Other (specify).
Number of room in structure
Number of room in structure
Number of room in structure
Number of room in structure
Number of room in structure
How many rooms are in this structure?
169
81
1
7
2.302
1.051
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
4378
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
4378
Income module done
Income module done
Income module done
Income module done
Income module done
4378
1
Yes
2
No
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
4378
1
8
Day of interview
Day of interview
Day of interview
Day of interview
Day of interview
Date of Interview. Day.
4378
Month of interview
Month of interview
Month of interview
Month of interview
Month of interview
Date of Interview. Month.
4378
Year of interview
Year of interview
Year of interview
Year of interview
Year of interview
Date of Interview. Year.
4378
Count of section A
Count of section A
Count of section A
Count of section A
Count of section A
4378
1
14
5.642
2.373
Count of section B
Count of section B
Count of section B
Count of section B
Count of section B
4378
7
0.739
0.962
Count of Section C
Count of Section C
Count of Section C
Count of Section C
Count of Section C
4378
11
3.868
2.225
Count of Section D
Count of Section D
Count of Section D
Count of Section D
Count of Section D
4378
4
0.531
0.736
Count of Section E
Count of Section E
Count of Section E
Count of Section E
Count of Section E
4378
1
12
3.606
1.862
_merge representing incomea
_merge representing incomea
_merge representing incomea
_merge representing incomea
_merge representing incomea
4378
1
_merge representing incomeb
_merge representing incomeb
_merge representing incomeb
_merge representing incomeb
_merge representing incomeb
4378
1
_merge representing incomec
_merge representing incomec
_merge representing incomec
_merge representing incomec
_merge representing incomec
4378
1
_merge representing incomed
_merge representing incomed
_merge representing incomed
_merge representing incomed
_merge representing incomed
4378
1
_merge representing incomef
_merge representing incomef
_merge representing incomef
_merge representing incomef
_merge representing incomef
4378
1
4378
3
Line number
Line number
Line number
Line number
Line number
All household members 8 years and older
4378
ID code - Income module
ID code - Income module
ID code - Income module
ID code - Income module
ID code - Income module
ID Code
List the ID codes of all household members 8 years and older.
All household members 8 years and older
4378
1
24
During past 7 day worked for someone who is not a member
During past 7 day worked for someone who is not a member
During past 7 day worked for someone who is not a member
During past 7 day worked for someone who is not a member
During past 7 day worked for someone who is not a member
During the past 7 days, has [NAME] worked for someone who is not a member of your household, for example, an employer, a firm, the government or some other person outside of your household?
If answer is 1 > Go to 4 (in04 - variable name in dataset).
All household members 8 years and older
4378
1
Yes
2
No
8
9
During past 6 months worked for someone who is not member
During past 6 months worked for someone who is not member
During past 6 months worked for someone who is not member
During past 6 months worked for someone who is not member
During past 6 months worked for someone who is not member
In the past 6 months, has [NAME] worked for someone who is not a member of your household, for example, an employer, a firm, the government or some other person outside of your household?
All household members 8 years and older
3741
637
1
Yes
2
No
8
9
Sysmiss
During past 7 days worked on field belonging to someone
During past 7 days worked on field belonging to someone
During past 7 days worked on field belonging to someone
During past 7 days worked on field belonging to someone
During past 7 days worked on field belonging to someone
During the past 7 days, has [NAME] worked on a field or garden belonging to someone in your household, or has [NAME] raised livestock?
If answer is 1 > Go to 6 (in06 - variable name in dataset).
All household members 8 years and older
4377
1
1
Yes
2
No
8
9
Sysmiss
During past 6 months worked on field belonging to someone
During past 6 months worked on field belonging to someone
During past 6 months worked on field belonging to someone
During past 6 months worked on field belonging to someone
During past 6 months worked on field belonging to someone
In the past 6 months, has [NAME] worked in a field or garden belonging to someone in your household, or has [NAME] raised livestock?
All household members 8 years and older
1373
3005
1
Yes
2
No
8
9
Sysmiss
During past 7 days done non-farm work
During past 7 days done non-farm work
During past 7 days done non-farm work
During past 7 days done non-farm work
During past 7 days done non-farm work
During the past 7 days, has [NAME] done non-farm work for someone in your household? For example in an independent business/duka, or in some other self-employed activity?
If answer is 1 > Go to next person.
All household members 8 years and older
4376
2
1
Yes
2
No
8
9
Sysmiss
During past 6 months done non-farm work
During past 6 months done non-farm work
During past 6 months done non-farm work
During past 6 months done non-farm work
During past 6 months done non-farm work
In the past 6 months, has [NAME] done non-farm work for someone in your household? For example in an independent business/duka, or in some other self-employed activity?
Go to next person.
All household members 8 years and older
3904
474
1
Yes
2
No
8
9
Sysmiss
Line number
Line number
Line number
Line number
Line number
All hosuehold members who worked as an employee in the past 7 days.
4378
ID Code
ID Code
ID Code
ID Code
ID Code
ID Code
List ID Codes for all who worked as an EMPLOYE E in the past 7 days – YES to Sec. A, Question 2.
All hosuehold members who worked as an employee in the past 7 days.
2191
2187
1
20
What did do for this work
What did do for this work
What did do for this work
What did do for this work
What did do for this work
What did [NAME] do in this work? What kind of trade, industry or business is it connected with?
If more than one job of this type, choose the one that they spent the most time on in the past 6 months.
All hosuehold members who worked as an employee in the past 7 days.
2191
2187
1
99
22.776
26.388
1
Crop farmer
2
Animal farmer
3
Housewife
4
Trader/merchant/salesperson
5
Transport worker
6
Construction worker
7
Teacher/education professional
8
Health professional/TBA/trad. Healer
9
Secretary/clerical
10
Factory worker
11
Restaurant/bar/hotel
12
Skilled trades (carpenter, tailor, etc.)
13
Preacher/pastor
14
Village elder
15
Domestic worker
16
Civil Servant/Government
17
Other (specify)
41
Operating Kiosk/Duka
42
Trading (buying & selling) vegetables
43
Trading chickens, eggs, etc.
44
Trading clothes (mtumba)
45
Trading milk
46
Making local brew / beer
47
Boda-boda operator
88
No activity/unemployed
99
Don’t Know
What did do for this work (Other)
What did do for this work (Other)
What did do for this work (Other)
What did do for this work (Other)
What did do for this work (Other)
What did [NAME] do in this work? What kind of trade, industry or business is it connected with? Other (specify).
All hosuehold members who worked as an employee in the past 7 days.
390
How many hours work in past 7 days
How many hours work in past 7 days
How many hours work in past 7 days
How many hours work in past 7 days
How many hours work in past 7 days
How many hours did [NAME] do this work in the past 7 days (since last ___)?[Total no. of hours]
Probe for actual hours.
Exclude travel time, leave, paid sick leave or paid holidays.
All hosuehold members who worked as an employee in the past 7 days.
2191
2187
99
42.276
23.139
Number of hours usually work at job in a week
Number of hours usually work at job in a week
Number of hours usually work at job in a week
Number of hours usually work at job in a week
Number of hours usually work at job in a week
Is this the number of hours [NAME] usually work at this job in a week?
If answer is 1 > Go to 7 (inb07 - variable name in dataset).
All hosuehold members who worked as an employee in the past 7 days.
2141
2237
1
9
1.417
1.354
1
Yes
2
No
Why did not work the usual number of hours
Why did not work the usual number of hours
Why did not work the usual number of hours
Why did not work the usual number of hours
Why did not work the usual number of hours
Why did [NAME] not work the usual number of hours in the past 7 days?
All hosuehold members who worked as an employee in the past 7 days.
422
3956
1
99
11.543
21.035
1
Own illness
2
Illness of family member
3
Overtime due to illness of other employee
4
Other overtime
5
Public or religious holiday
6
Vacation
7
Funeral/mourning period
8
Other (specify)
Why did not work the usual number of hours (Other)
Why did not work the usual number of hours (Other)
Why did not work the usual number of hours (Other)
Why did not work the usual number of hours (Other)
Why did not work the usual number of hours (Other)
Why did [NAME] not work the usual number of hours in the past 7 days? Other (specify).
All hosuehold members who worked as an employee in the past 7 days.
203
For how many hours per week usual work
For how many hours per week usual work
For how many hours per week usual work
For how many hours per week usual work
For how many hours per week usual work
For how many hours per week does [NAME] usually work at this job? [Number of hours]
All hosuehold members who worked as an employee in the past 7 days.
477
3901
99
65.09
30.602
How many weeks during past 6 months did work
How many weeks during past 6 months did work
How many weeks during past 6 months did work
How many weeks during past 6 months did work
How many weeks during past 6 months did work
For how many weeks during the past 6 months did [NAME] do this work? [Number of weeks]
All hosuehold members who worked as an employee in the past 7 days.
2191
2187
99
22.339
14.579
What type of employer did work for
What type of employer did work for
What type of employer did work for
What type of employer did work for
What type of employer did work for
What type of employer did [NAME] work for in the past days?
That is did he/she work for…
All hosuehold members who worked as an employee in the past 7 days.
2191
2187
1
Govt./parastatal
2
Private employer
3
Cooperative union
4
NGO
5
Other (specify)
Sysmiss
Is position temporary or permanent
Is position temporary or permanent
Is position temporary or permanent
Is position temporary or permanent
Is position temporary or permanent
Is [NAME’s] position temporary or permanent?
All hosuehold members who worked as an employee in the past 7 days.
2191
2187
1
Temporary
2
Permanent
9
Sysmiss
Received a salary or payment of any kind for work
Received a salary or payment of any kind for work
Received a salary or payment of any kind for work
Received a salary or payment of any kind for work
Received a salary or payment of any kind for work
In the past month, did [NAME] receive a salary or payment of any kind for this work?
If answer is 2 > Go to 12 (in12 - variable name in dataset).
All hosuehold members who worked as an employee in the past 7 days.
2191
2187
1
Yes
2
No
8
9
Sysmiss
Net salary for work in the last month
Net salary for work in the last month
Net salary for work in the last month
Net salary for work in the last month
Net salary for work in the last month
In the past month, what is [NAME's] net salary/payment for this work?
Exclude housing allowances, but include per diem and the value of all payments in kind.
All hosuehold members who worked as an employee in the past 7 days.
2154
2224
40
720000
5049.019
16379.275
Received any housing connected to the work
Received any housing connected to the work
Received any housing connected to the work
Received any housing connected to the work
Received any housing connected to the work
Has [NAME] received or will he/she receive any housing (or money for housing) connected with this work?
If answer is 2 > Go to 14 (in14 - variable name in dataset).
All hosuehold members who worked as an employee in the past 7 days.
2191
2187
1
Yes
2
No
9
Sysmiss
What is the value of housing allowance
What is the value of housing allowance
What is the value of housing allowance
What is the value of housing allowance
What is the value of housing allowance
In the past month, what is the value of this housing allowance/subsidy?
All hosuehold members who worked as an employee in the past 7 days.
589
3789
99
30000
2538.255
2557.856
Has worked as an employ at any job in past 7 days
Has worked as an employ at any job in past 7 days
Has worked as an employ at any job in past 7 days
Has worked as an employ at any job in past 7 days
Has worked as an employ at any job in past 7 days
In the past 7 days has [NAME] worked as an employee at any other job?
If answer is 2 > Go to next person.
All hosuehold members who worked as an employee in the past 7 days.
2187
2191
1
Yes
2
No
8
9
Sysmiss
Line number
Line number
Line number
Line number
Line number
Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days.
4378
ID code
ID code
ID code
ID code
ID code
ID Code
List ID Codes for all who say YES to Sec. A, Question 4.
Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days.
4098
280
1
24
Past 7 days worked on hhold shamba
Past 7 days worked on hhold shamba
Past 7 days worked on hhold shamba
Past 7 days worked on hhold shamba
Past 7 days worked on hhold shamba
[CROPS]
In the past 7 days (since last ____) has [NAME] worked on any of your household's shambas/gardens (e.g., ploughing, planting, weeding, harvesting) or prepared crops for sale or home consumption (e.g., drying maize)?
If answer is 2 > Go to 7 (se07 - variable name in dataset).
Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days.
4098
280
1
Yes
2
No
Sysmiss
How much time spend on working in past 7 days
How much time spend on working in past 7 days
How much time spend on working in past 7 days
How much time spend on working in past 7 days
How much time spend on working in past 7 days
In the past 7 days, how much time did [NAME] spend working on your household's shambas/gardens (e.g., ploughing, planting, weeding, harvesting)?
Total hours for a week.
Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days.
3227
1151
99
11.55
9.991
How much time spend on preparing in past 7 days
How much time spend on preparing in past 7 days
How much time spend on preparing in past 7 days
How much time spend on preparing in past 7 days
How much time spend on preparing in past 7 days
In the past 7 days, how much time did [NAME] spend preparing or processing crops (e.g., drying maize, milling, or brewing) for sale or home consumption?
Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days.
3227
1151
99
1.821
10.081
Main crops that devoted time - A in past 7 days
Main crops that devoted time - A in past 7 days
Main crops that devoted time - A in past 7 days
Main crops that devoted time - A in past 7 days
Main crops that devoted time - A in past 7 days
On these shambas/gardens belonging to your household, which were the four MAIN crops that [NAME] devoted his/her time to in the past 7 days?
List up to 4 crops.
Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days.
3210
1168
1
98
4.887
9.83
1
Maize
2
Wheat
3
Millet or sorghum
4
Rice
5
Beans, peas, cowpeas, other pulses
6
Cabbage
7
Sukuma wiki
8
Spinach
9
Yams or Sweet potatoes
10
Irish potatoes
11
Cassava
12
Groundnuts
13
Sunflower seeds
14
Tomatoes
15
Onions, leeks
16
Eggplant
17
Carrots
18
Capsicums/Green Peppers
19
Chillies
20
Coffee
21
Tea
22
Tobacco
23
Cotton
24
Lumber, wood
25
Oil palm/palm oil
26
Honey or Sugarcane
27
Avocado
28
Bananas
29
Mangoes
30
Oranges/Citrus fruits
31
Pineapple
32
Sugarcane
33
Other fruits (specify)
34
Other vegetables (specify)
35
37
98
Sysmiss
Main crops that devoted time - B in past 7 days
Main crops that devoted time - B in past 7 days
Main crops that devoted time - B in past 7 days
Main crops that devoted time - B in past 7 days
Main crops that devoted time - B in past 7 days
On these shambas/gardens belonging to your household, which were the four MAIN crops that [NAME] devoted his/her time to in the past 7 days?
List up to 4 crops.
Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days.
2715
1663
1
37
9.356
10.243
1
Maize
2
Wheat
3
Millet or sorghum
4
Rice
5
Beans, peas, cowpeas, other pulses
6
Cabbage
7
Sukuma wiki
8
Spinach
9
Yams or Sweet potatoes
10
Irish potatoes
11
Cassava
12
Groundnuts
13
Sunflower seeds
14
Tomatoes
15
Onions, leeks
16
Eggplant
17
Carrots
18
Capsicums/Green Peppers
19
Chillies
20
Coffee
21
Tea
22
Tobacco
23
Cotton
24
Lumber, wood
25
Oil palm/palm oil
26
Honey or Sugarcane
27
Avocado
28
Bananas
29
Mangoes
30
Oranges/Citrus fruits
31
Pineapple
32
Sugarcane
33
Other fruits (specify)
34
Other vegetables (specify)
35
37
Sysmiss
Main crops that devoted time - C in past 7 days
Main crops that devoted time - C in past 7 days
Main crops that devoted time - C in past 7 days
Main crops that devoted time - C in past 7 days
Main crops that devoted time - C in past 7 days
On these shambas/gardens belonging to your household, which were the four MAIN crops that [NAME] devoted his/her time to in the past 7 days?
List up to 4 crops.
Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days.
1433
2945
1
37
18.562
14.074
1
Maize
2
Wheat
3
Millet or sorghum
4
Rice
5
Beans, peas, cowpeas, other pulses
6
Cabbage
7
Sukuma wiki
8
Spinach
9
Yams or Sweet potatoes
10
Irish potatoes
11
Cassava
12
Groundnuts
13
Sunflower seeds
14
Tomatoes
15
Onions, leeks
16
Eggplant
17
Carrots
18
Capsicums/Green Peppers
19
Chillies
20
Coffee
21
Tea
22
Tobacco
23
Cotton
24
Lumber, wood
25
Oil palm/palm oil
26
Honey or Sugarcane
27
Avocado
28
Bananas
29
Mangoes
30
Oranges/Citrus fruits
31
Pineapple
32
Sugarcane
33
Other fruits (specify)
34
Other vegetables (specify)
35
36
37
Sysmiss
Main crops that devoted time - D in past 7 days
Main crops that devoted time - D in past 7 days
Main crops that devoted time - D in past 7 days
Main crops that devoted time - D in past 7 days
Main crops that devoted time - D in past 7 days
On these shambas/gardens belonging to your household, which were the four MAIN crops that [NAME] devoted his/her time to in the past 7 days?
List up to 4 crops.
Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days.
691
3687
1
37
18.868
13.925
1
Maize
2
Wheat
3
Millet or sorghum
4
Rice
5
Beans, peas, cowpeas, other pulses
6
Cabbage
7
Sukuma wiki
8
Spinach
9
Yams or Sweet potatoes
10
Irish potatoes
11
Cassava
12
Groundnuts
13
Sunflower seeds
14
Tomatoes
15
Onions, leeks
16
Eggplant
17
Carrots
18
Capsicums/Green Peppers
19
Chillies
20
Coffee
21
Tea
22
Tobacco
23
Cotton
24
Lumber, wood
25
Oil palm/palm oil
26
Honey or Sugarcane
27
Avocado
28
Bananas
29
Mangoes
30
Oranges/Citrus fruits
31
Pineapple
32
Sugarcane
33
Other fruits (specify)
34
Other vegetables (specify)
35
37
Sysmiss
Main crops that devoted time - D in past 7 days (Other)
Main crops that devoted time - D in past 7 days (Other)
Main crops that devoted time - D in past 7 days (Other)
Main crops that devoted time - D in past 7 days (Other)
Main crops that devoted time - D in past 7 days (Other)
On these shambas/gardens belonging to your household, which were the four MAIN crops that [NAME] devoted his/her time to in the past 7 days? Other (specify).
Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days.
130
How much earn in from the sales in past 1 month
How much earn in from the sales in past 1 month
How much earn in from the sales in past 1 month
How much earn in from the sales in past 1 month
How much earn in from the sales in past 1 month
In the past one month, how much income did [NAME] earn from the sale of these crops? Amount in KSh.
Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days.
3207
1171
27000
68.034
642.163
Spent any time caring for animals in past 7 days
Spent any time caring for animals in past 7 days
Spent any time caring for animals in past 7 days
Spent any time caring for animals in past 7 days
Spent any time caring for animals in past 7 days
[LIVESTOCK]
In the past 7 days, has [NAME] spent any time caring for animals belonging to your household?
If answer is 2 > Confirm that answer to 2 is Yes and go to next person.
Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days.
4098
280
1
Yes
2
No
8
Sysmiss
How many hours spend caring for animals in past 7 days
How many hours spend caring for animals in past 7 days
How many hours spend caring for animals in past 7 days
How many hours spend caring for animals in past 7 days
How many hours spend caring for animals in past 7 days
In the past 7 days, how many hours did [NAME] spend feeding, caring for, tending and transporting any animals belonging to your household? Total hours for a week.
Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days.
3505
873
99
9.126
9.795
How many hours spend collecting products of animals in past
How many hours spend collecting products of animals in past
How many hours spend collecting products of animals in past
How many hours spend collecting products of animals in past
How many hours spend collecting products of animals in past
In the past 7 days, how many hours did [NAME] spend collecting or transforming the products of your household's animals (e.g. milk, eggs, honey) for sale or home consumption? Total hrs for the week?
Note this includes time for milking.
Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days.
3505
873
99
1.963
5.927
How much net income did receive in past 1 month
How much net income did receive in past 1 month
How much net income did receive in past 1 month
How much net income did receive in past 1 month
How much net income did receive in past 1 month
In the past one month, how much net income did [NAME] receive from the sale of products from these animals (e.g., milk, honey, eggs)? Amount in KSh.
Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days.
3505
873
60000
388.683
1667.656
Line number
Line number
Line number
Line number
Line number
I would like to ask you some questions about the work your household members did in the past 7 days (since last…) in their own business or in your household's business.
All household members 8 years and older who did nonfarm work in a business belonging to the household in the past 7 days.
4378
ID Code
ID Code
ID Code
ID Code
ID Code
ID Code
(List ID Codes for all who did non-farm work in a business belonging to the household in the past 7 days - YES to Sec. A, Question 6)
All household members 8 years and older who did nonfarm work in a business belonging to the household in the past 7 days.
1804
2574
1
14
What type of business
What type of business
What type of business
What type of business
What type of business
What type of business or self-employment did [NAME] work at in the past 7 days? What kind of trade, industry or business is it connected with?
[If more than 1, begin with the one in which the most time is spent]
All household members 8 years and older who did nonfarm work in a business belonging to the household in the past 7 days.
1799
2579
1
82
29.146
15.509
1
Crop farmer
2
Animal farmer
3
Housewife
4
Trader/merchant/salesperson
5
Transport worker
6
Construction worker
7
Teacher/education professional
8
Health professional/TBA/trad. Healer
9
Secretary/clerical
10
Factory worker
11
Restaurant/bar/hotel
12
Skilled trades (carpenter, tailor, etc.)
13
Preacher/pastor
14
Village elder
15
Domestic worker
16
Civil Servant/Government
17
Other (specify)
41
Operating Kiosk/Duka
42
Trading (buying & selling) vegetables
43
Trading chickens, eggs, etc.
44
Trading clothes (mtumba)
45
Trading milk
46
Making local brew / beer
47
Boda-boda operator
88
No activity/unemployed
99
Don’t Know
What type of business (Other)
What type of business (Other)
What type of business (Other)
What type of business (Other)
What type of business (Other)
What type of business or self-employment did [NAME] work at in the past 7 days? What kind of trade, industry or business is it connected with? Other (specify).
All household members 8 years and older who did nonfarm work in a business belonging to the household in the past 7 days.
514
How many hours worked in past 7 days
How many hours worked in past 7 days
How many hours worked in past 7 days
How many hours worked in past 7 days
How many hours worked in past 7 days
In the past 7 days, how many hours did [NAME] work at this business? Total hrs for the week.
* Probe for time spent on brewing
All household members 8 years and older who did nonfarm work in a business belonging to the household in the past 7 days.
1799
2579
99
30.683
20.67
Number of hours usually work
Number of hours usually work
Number of hours usually work
Number of hours usually work
Number of hours usually work
Is this the number of hours [NAME] usually works at this business in a week?
If answer is 1 > Go to 6 (ind06 - variable name in dataset).
All household members 8 years and older who did nonfarm work in a business belonging to the household in the past 7 days.
1793
2585
1
Yes
2
No
8
9
Sysmiss
For how many hours per week usually work
For how many hours per week usually work
For how many hours per week usually work
For how many hours per week usually work
For how many hours per week usually work
For how many hours per week does [NAME] usually work at this business? Total hrs for a week.
All household members 8 years and older who did nonfarm work in a business belonging to the household in the past 7 days.
295
4083
99
54.963
35.259
How many weeks during 6 months did work
How many weeks during 6 months did work
How many weeks during 6 months did work
How many weeks during 6 months did work
How many weeks during 6 months did work
For how many weeks during the past 6 months did [NAME] do this work? Number of weeks.
All household members 8 years and older who did nonfarm work in a business belonging to the household in the past 7 days.
1799
2579
1
98
22.413
6.992
How much net income did receive in past month
How much net income did receive in past month
How much net income did receive in past month
How much net income did receive in past month
How much net income did receive in past month
In the past month, how much net income did [NAME] receive from this business? Amount in KSh.
All household members 8 years and older who did nonfarm work in a business belonging to the household in the past 7 days.
1799
2579
250000
4403.714
14098.746
Worked in any other business in past 7 days
Worked in any other business in past 7 days
Worked in any other business in past 7 days
Worked in any other business in past 7 days
Worked in any other business in past 7 days
In the past 7 days has [NAME] worked in any other business of your household?
If answer is 2 > Go to next person.
All household members 8 years and older who did nonfarm work in a business belonging to the household in the past 7 days.
1799
2579
1
Yes
2
No
8
Sysmiss
Line number
Line number
Line number
Line number
Line number
All individuals in the household that are 18 years or older.
4378
ID Code
ID Code
ID Code
ID Code
ID Code
ID Code
(List the ID codes of all household members 18 years and older)
All individuals in the household that are 18 years or older.
4378
Main job 5 years ago
Main job 5 years ago
Main job 5 years ago
Main job 5 years ago
Main job 5 years ago
What did [NAME] do in his/her main job or activity five years ago? What did [NAME] do in this work?
If answer is 81 > Go to next person.
All individuals in the household that are 18 years or older.
4378
1
99
41.831
37.519
1
Crop farmer
2
Animal farmer
3
Housewife
4
Trader/merchant/salesperson
5
Transport worker
6
Construction worker
7
Teacher/education professional
8
Health professional/TBA/trad. Healer
9
Secretary/clerical
10
Factory worker
11
Restaurant/bar/hotel
12
Skilled trades (carpenter, tailor, etc.)
13
Preacher/pastor
14
Village elder
15
Domestic worker
16
Civil Servant/Government
17
Other (specify)
41
Operating Kiosk/Duka
42
Trading (buying & selling) vegetables
43
Trading chickens, eggs, etc.
44
Trading clothes (mtumba)
45
Trading milk
46
Making local brew / beer
47
Boda-boda operator
81
Student
88
No activity/unemployed
99
Don’t Know
Main job 5 years ago (Other)
Main job 5 years ago (Other)
Main job 5 years ago (Other)
Main job 5 years ago (Other)
Main job 5 years ago (Other)
What did [NAME] do in his/her main job or activity five years ago? What did [NAME] do in this work? Other (specify).
All individuals in the household that are 18 years or older.
172
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
1383
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
1383
Knowledge & behavior module
Knowledge & behavior module
Knowledge & behavior module
Knowledge & behavior module
Knowledge & behavior module
1383
1
Yes
2
No
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
1383
Day of interview
Day of interview
Day of interview
Day of interview
Day of interview
Date of Interview. Day.
1383
Month of interview
Month of interview
Month of interview
Month of interview
Month of interview
Date of Interview. Month.
1383
Year of interview
Year of interview
Year of interview
Year of interview
Year of interview
Date of Interview. Year.
1383
When child has diarrhea should be given less to drink
When child has diarrhea should be given less to drink
When child has diarrhea should be given less to drink
When child has diarrhea should be given less to drink
When child has diarrhea should be given less to drink
When a child has diarrhea, should he/she be given less to drink than usual, about the same amount, or more than usual?
1383
1
Less
2
Same
3
More
9
99
Don’t Know
Percentage of children in village have malaria in past 12 mo
Percentage of children in village have malaria in past 12 mo
Percentage of children in village have malaria in past 12 mo
Percentage of children in village have malaria in past 12 mo
Percentage of children in village have malaria in past 12 mo
What percentage of children (under 12 years of age) in the village have malaria in the past 12 months?
Probe: 'how many children out of 10 children?' if respondent can't answer.
1382
1
1
100
45.533
19.761
Can a person who looks health have HIV
Can a person who looks health have HIV
Can a person who looks health have HIV
Can a person who looks health have HIV
Can a person who looks health have HIV
Can a person who looks healthy have HIV, the virus that causes AIDS?
1383
1
Yes
2
No
3
9
99
Don’t Know
Personally know someone who has died from AIDS
Personally know someone who has died from AIDS
Personally know someone who has died from AIDS
Personally know someone who has died from AIDS
Personally know someone who has died from AIDS
Since [Round 2], has anybody known to you personally died from AIDS?
*Probe by asking about household members, relatives, friends.
If answer is 2 > Go to 5 (kb05 - variable name in dataset).
1378
5
1
Yes
2
No
3
4
5
8
Sysmiss
What was relation to this person
What was relation to this person
What was relation to this person
What was relation to this person
What was relation to this person
What was your relation to this person?
* If there are multiple persons, ask about person who died most recently.
783
600
1
Household member
2
Relative in this Division
3
Relative elsewhere
4
Non-relative in this Division
5
Non-relative elsewhere
8
Sysmiss
How many people have died from AIDS
How many people have died from AIDS
How many people have died from AIDS
How many people have died from AIDS
How many people have died from AIDS
How many people (in total) known to you personally have died from AIDS?
1379
4
99
6.746
10.009
Personally know anyone who received or currently receiving t
Personally know anyone who received or currently receiving t
Personally know anyone who received or currently receiving t
Personally know anyone who received or currently receiving t
Personally know anyone who received or currently receiving t
Since [Round 2], has anybody known to you personally begun to receive treatment for AIDS?
*Probe by asking about household members, relatives, friends.
If answer is 2 > Go to 7 (kb07 - variable name in dataset).
1376
7
1
Yes
2
No
4
Sysmiss
What is relationship to this person
What is relationship to this person
What is relationship to this person
What is relationship to this person
What is relationship to this person
What was/is your relation to this person?
* If there are multiple persons, ask about closest relation.
989
394
1
Household member
2
Relative in this Division
3
Relative elsewhere
4
Non-relative in this Division
5
Non-relative elsewhere
Sysmiss
What happened to person's health since receiving treatment
What happened to person's health since receiving treatment
What happened to person's health since receiving treatment
What happened to person's health since receiving treatment
What happened to person's health since receiving treatment
What has happened to this person’s health since receiving treatment?
1007
376
1
Recovered / Improved
2
Remained sick
3
Got more sick
4
Too early to tell
5
Died
9
11
12
99
Don’t Know
Sysmiss
In Kosirai, treatment for HIV/AIDS ie easily available
In Kosirai, treatment for HIV/AIDS ie easily available
In Kosirai, treatment for HIV/AIDS ie easily available
In Kosirai, treatment for HIV/AIDS ie easily available
In Kosirai, treatment for HIV/AIDS ie easily available
In Kosirai Division, do you know whether treatment for HIV/AIDS is easily available, available but not for everyone who needs it, or not available at all?
1383
1
Easily available
2
Available, but not for everyone who needs it
3
Not available at all
4
6
7
8
9
99
Don’t Know
Percentage of adults that have HIV/AIDS in Kosirai
Percentage of adults that have HIV/AIDS in Kosirai
Percentage of adults that have HIV/AIDS in Kosirai
Percentage of adults that have HIV/AIDS in Kosirai
Percentage of adults that have HIV/AIDS in Kosirai
What percentage of adults do you think have HIV/AIDS in this region (Kosirai division)?
Probe by asking 'how many adults out of 10 adults?'
1382
1
Treat your drinking water
Treat your drinking water
Treat your drinking water
Treat your drinking water
Treat your drinking water
1381
2
1
2
3
4
5
6
8
Sysmiss
HIV-positive person should eat special diet
HIV-positive person should eat special diet
HIV-positive person should eat special diet
HIV-positive person should eat special diet
HIV-positive person should eat special diet
1377
6
1
2
3
4
5
9
Sysmiss
HIV-positive person specific foods
HIV-positive person specific foods
HIV-positive person specific foods
HIV-positive person specific foods
HIV-positive person specific foods
1175
208
1
2
3
4
5
6
9
Sysmiss
HIV-positive person specific foods
HIV-positive person specific foods
HIV-positive person specific foods
HIV-positive person specific foods
HIV-positive person specific foods
1133
250
1
2
3
4
5
6
Sysmiss
HIV-positive person specific foods
HIV-positive person specific foods
HIV-positive person specific foods
HIV-positive person specific foods
HIV-positive person specific foods
1039
344
1
2
3
4
5
6
Sysmiss
HIV-positive person specific foods
HIV-positive person specific foods
HIV-positive person specific foods
HIV-positive person specific foods
HIV-positive person specific foods
602
781
1
2
3
4
5
6
Sysmiss
HIV-positive person specific foods
HIV-positive person specific foods
HIV-positive person specific foods
HIV-positive person specific foods
HIV-positive person specific foods
175
1208
1
2
3
4
5
6
Sysmiss
HIV-positive person specific foods
HIV-positive person specific foods
HIV-positive person specific foods
HIV-positive person specific foods
HIV-positive person specific foods
16
1367
1
2
3
5
6
Sysmiss
HIV-positive person specific foods (other)
HIV-positive person specific foods (other)
HIV-positive person specific foods (other)
HIV-positive person specific foods (other)
HIV-positive person specific foods (other)
689
_merge representing kba
_merge representing kba
_merge representing kba
_merge representing kba
_merge representing kba
1383
1
Which members regularly use mosquito nets
Which members regularly use mosquito nets
Which members regularly use mosquito nets
Which members regularly use mosquito nets
Which members regularly use mosquito nets
Which household members regularly use mosquito nets when sleeping?
[List up to 5 HHID's]
710
673
Which members regularly use mosquito nets
Which members regularly use mosquito nets
Which members regularly use mosquito nets
Which members regularly use mosquito nets
Which members regularly use mosquito nets
Which household members regularly use mosquito nets when sleeping?
[List up to 5 HHID's]
630
753
Which members regularly use mosquito nets
Which members regularly use mosquito nets
Which members regularly use mosquito nets
Which members regularly use mosquito nets
Which members regularly use mosquito nets
Which household members regularly use mosquito nets when sleeping?
[List up to 5 HHID's]
441
942
Which members regularly use mosquito nets
Which members regularly use mosquito nets
Which members regularly use mosquito nets
Which members regularly use mosquito nets
Which members regularly use mosquito nets
Which household members regularly use mosquito nets when sleeping?
[List up to 5 HHID's]
288
1095
Which members regularly use mosquito nets
Which members regularly use mosquito nets
Which members regularly use mosquito nets
Which members regularly use mosquito nets
Which members regularly use mosquito nets
Which household members regularly use mosquito nets when sleeping?
[List up to 5 HHID's]
152
1231
Ever been tested for HIV
Ever been tested for HIV
Ever been tested for HIV
Ever been tested for HIV
Ever been tested for HIV
Have you ever been tested for HIV since [Round2]?
If answer is 2 or 99 > Go to 12 (kbb12 - variable name in dataset).
1383
1
Yes
2
No
8
9
99
Don’t Know
Was this your first HIV test
Was this your first HIV test
Was this your first HIV test
Was this your first HIV test
Was this your first HIV test
Was this your first HIV test?
205
1178
1
Yes
2
No
3
8
Sysmiss
Month when tested for HIV
Month when tested for HIV
Month when tested for HIV
Month when tested for HIV
Month when tested for HIV
Now I would like to ask you about your most recent HIV test.
When was the most recent time you were tested for HIV? Month.
206
1177
Year when tested for HIV
Year when tested for HIV
Year when tested for HIV
Year when tested for HIV
Year when tested for HIV
Now I would like to ask you about your most recent HIV test.
When was the most recent time you were tested for HIV? Year.
206
1177
Where tested for HIV
Where tested for HIV
Where tested for HIV
Where tested for HIV
Where tested for HIV
Where did you get tested for HIV most recently?
206
1177
1
Mosoriot Health Center
2
Turbo Health Center
3
Burnt Forest Health Center
4
Eldoret
5
Kapsabet
6
Kisumu
7
Other (specify)
8
99
Don’t know
Sysmiss
Where tested for HIV (Other)
Where tested for HIV (Other)
Where tested for HIV (Other)
Where tested for HIV (Other)
Where tested for HIV (Other)
Where did you get tested for HIV most recently? Other (specify).
14
Most recent test in VCT, etc.
Most recent test in VCT, etc.
Most recent test in VCT, etc.
Most recent test in VCT, etc.
Most recent test in VCT, etc.
Did your most recent HIV test take place at a VCT clinic, antenatal clinic, or elsewhere?
If answer is 2 > Go to 8 (kbb08 - variable name in dataset).
206
1177
1
VCT clinic
2
Antenatal clinic
3
Other (specify)
4
Won’t say
8
Sysmiss
Main reason why went for an HIV test
Main reason why went for an HIV test
Main reason why went for an HIV test
Main reason why went for an HIV test
Main reason why went for an HIV test
What was the main reason why you went for an HIV test?
152
1231
1
partner suspected to be unfaithful
2
have had multiple partners
3
to get married
4
sick before test
5
spouse encouraged
6
friend encouraged
7
attended baraza
8
Other (specify)
9
Sysmiss
Main reason why went for an HIV test (Other)
Main reason why went for an HIV test (Other)
Main reason why went for an HIV test (Other)
Main reason why went for an HIV test (Other)
Main reason why went for an HIV test (Other)
What was the main reason why you went for an HIV test? Other (specify).
65
What was the result of HIV test
What was the result of HIV test
What was the result of HIV test
What was the result of HIV test
What was the result of HIV test
What was the result of your HIV test?
* emphasize confidentiality when asking this question
206
1177
1
HIV-Positive
2
HIV-Negative
3
Won’t say
8
9
Sysmiss
HIV result came as a surprise
HIV result came as a surprise
HIV result came as a surprise
HIV result came as a surprise
HIV result came as a surprise
Please think back to the time of your most recent HIV test. Did your test result come as a surprise to you, or was it the same as what you had expected prior to the test?
205
1178
1
Same as expected
2
Surprised – worse than expected
3
Surprised – better than expected
4
Won’t say
8
Sysmiss
Have informed spouse about HIV status
Have informed spouse about HIV status
Have informed spouse about HIV status
Have informed spouse about HIV status
Have informed spouse about HIV status
Have you informed your spouse (or main partner) about your HIV status?
* include spouse/partner at time of test, if h/she was alive. If not, use code 3 (n/a)
205
1178
1
Yes
2
No
3
N/A (no spouse or main partner)
8
Sysmiss
Who else informed - A
Who else informed - A
Who else informed - A
Who else informed - A
Who else informed - A
Who else have you informed about your status?
* list the 3 people that were informed first
*Probe by asking about household members
87
Who else informed - B
Who else informed - B
Who else informed - B
Who else informed - B
Who else informed - B
Who else have you informed about your status?
* list the 3 people that were informed first
*Probe by asking about household members
50
Who else informed - C
Who else informed - C
Who else informed - C
Who else informed - C
Who else informed - C
Who else have you informed about your status?
* list the 3 people that were informed first
*Probe by asking about household members
26
Chances of having HIV/AIDS
Chances of having HIV/AIDS
Chances of having HIV/AIDS
Chances of having HIV/AIDS
Chances of having HIV/AIDS
Do you think your chances of having HIV/AIDS are high, moderate, low, or do you think you are at no risk at all?
1383
1
High
2
Moderate
3
Low
4
No risk at all
8
9
Percent chance of having HIV/AIDS
Percent chance of having HIV/AIDS
Percent chance of having HIV/AIDS
Percent chance of having HIV/AIDS
Percent chance of having HIV/AIDS
What do you think is the percent chance (0 to 100) that you currently have HIV/AIDS?
1383
100
38.444
41.653
_merge representing kbb
_merge representing kbb
_merge representing kbb
_merge representing kbb
_merge representing kbb
1383
1
Sexual questions asked?
Sexual questions asked?
Sexual questions asked?
Sexual questions asked?
Sexual questions asked?
Now I would like to ask you some questions about sexual activity in order to gain a better understanding of how behavior afftects health. Please answer these questions to the best of your knowledge. This information will be completely private; under no circumstances will it be revealed to your partner or anyone else.
Men under 59 yrs, women under 49 yrs.
1382
1
Sexually active since round 2
Sexually active since round 2
Sexually active since round 2
Sexually active since round 2
Sexually active since round 2
In the past 12 months, have you been sexually active?
Include irregular or casual partners.
If answer is 2 > Go to 4 (behavior_c4 - variable name in dataset) or section D (kbd01 - variable name in dataset) if no partner.
Men under 59 yrs, women under 49 yrs.
1377
6
1
Yes
2
No
3
8
Sysmiss
Regular partners since Round 2
Regular partners since Round 2
Regular partners since Round 2
Regular partners since Round 2
Regular partners since Round 2
In the past 12 months, how m any regular partners have you had? This includes individuals to whom you are married and other with whom you have had sexual relations for more than one year.
Men under 59 yrs, women under 49 yrs.
916
467
Casual partners since Round 2
Casual partners since Round 2
Casual partners since Round 2
Casual partners since Round 2
Casual partners since Round 2
In the past 12 months, how many casual partners have you had? All sexual partners who are not regular partners are termed casual- this includes relationships that have involved compensation.
Men under 59 yrs, women under 49 yrs.
914
469
_merge representing kbc
_merge representing kbc
_merge representing kbc
_merge representing kbc
_merge representing kbc
1383
1
_merge representing kbc1
_merge representing kbc1
_merge representing kbc1
_merge representing kbc1
_merge representing kbc1
1383
1
Infected with HIV virus is a sign of weak character
Infected with HIV virus is a sign of weak character
Infected with HIV virus is a sign of weak character
Infected with HIV virus is a sign of weak character
Infected with HIV virus is a sign of weak character
I would like to ask you for your opinion regarding several statements about HIV/AIDS. Please tell me if you: (1) strongly agree (2) agree somewhat (3) feel neutral (4) disagree (5) strongly disagree.
Most people I know think that adults who are infected with the AIDS virus is a sign of immoral behavior.
1383
1
strongly agree
2
agree somewhat
3
feel neutral
4
disagree
5
strongly disagree
8
9
99
Don’t Know
Feel ashamed of having HIV
Feel ashamed of having HIV
Feel ashamed of having HIV
Feel ashamed of having HIV
Feel ashamed of having HIV
HIV+: I feel ashamed of having HIV.
HIV-: If I was infected with the AIDS virus, I would feel ashamed of myself.
1383
1
strongly agree
2
agree somewhat
3
feel neutral
4
disagree
5
strongly disagree
8
9
99
Don’t Know
People feel angry with people with HIV/AIDS
People feel angry with people with HIV/AIDS
People feel angry with people with HIV/AIDS
People feel angry with people with HIV/AIDS
People feel angry with people with HIV/AIDS
Most people I know feel angry with people with HIV/AIDS for having inflicted this condition upon themselves.
1383
1
strongly agree
2
agree somewhat
3
feel neutral
4
disagree
5
strongly disagree
8
9
99
Don’t Know
Feel angry with self for having inflicted
Feel angry with self for having inflicted
Feel angry with self for having inflicted
Feel angry with self for having inflicted
Feel angry with self for having inflicted
HIV+: I feel angry with myself for having inflicted this disease upon myself.
HIV-: If I was infected with the AIDS virus, I would feel angry with myself for having inflicted this disease upon myself.
1383
1
strongly agree
2
agree somewhat
3
feel neutral
4
disagree
5
strongly disagree
8
9
99
Don’t Know
People avoid contact with people living with HIV/AIDS
People avoid contact with people living with HIV/AIDS
People avoid contact with people living with HIV/AIDS
People avoid contact with people living with HIV/AIDS
People avoid contact with people living with HIV/AIDS
Most people I know avoid contact with people living with HIV/AIDS because they are afraid of contracting the disease.
1383
1
strongly agree
2
agree somewhat
3
feel neutral
4
disagree
5
strongly disagree
8
9
99
Don’t Know
Feel should stay away from children and friends
Feel should stay away from children and friends
Feel should stay away from children and friends
Feel should stay away from children and friends
Feel should stay away from children and friends
HIV+: Since I know I have HIV/AIDS, I feel I should stay away from children and friends as much as I can (to avoid the risk of further transmitting the disease).
HIV-: If I was diagnosed with the AIDS virus, I would try to stay away from
children and friends as much as I can (to avoid the risk of further transmitting
the disease).
1383
1
strongly agree
2
agree somewhat
3
feel neutral
4
disagree
5
strongly disagree
8
9
99
Don’t Know
People feel disgust with people living with HIV/AIDS
People feel disgust with people living with HIV/AIDS
People feel disgust with people living with HIV/AIDS
People feel disgust with people living with HIV/AIDS
People feel disgust with people living with HIV/AIDS
Most people I know feel disgust with people living with HIV/AIDS.
1383
1
strongly agree
2
agree somewhat
3
feel neutral
4
disagree
5
strongly disagree
8
9
99
Don’t Know
Feel disgusted with body
Feel disgusted with body
Feel disgusted with body
Feel disgusted with body
Feel disgusted with body
HIV+: Since I know I have HIV/AIDS, I feel disgusted with my body.
HIV-: If I was diagnosed with the AIDS virus, I would feel disgusted with my body.
1383
1
strongly agree
2
agree somewhat
3
feel neutral
4
disagree
5
strongly disagree
8
9
99
Don’t Know
Female teacher with HIV should continue teaching
Female teacher with HIV should continue teaching
Female teacher with HIV should continue teaching
Female teacher with HIV should continue teaching
Female teacher with HIV should continue teaching
Most people I know would agree that a female teacher who has AIDS but is not sick should be allowed to continue teaching in the school.
1383
1
strongly agree
2
agree somewhat
3
feel neutral
4
disagree
5
strongly disagree
8
9
99
Don’t Know
I should be aloowed to continue teaching in the school
I should be aloowed to continue teaching in the school
I should be aloowed to continue teaching in the school
I should be aloowed to continue teaching in the school
I should be aloowed to continue teaching in the school
HIV+: If I was a teacher infected with the AIDS virus but was not sick, I would find that I should be allowed to continue teaching in the school.
HIV-: If I was a teacher diagnosed with the AIDS virus but was not sick, I would find that I should be allowed to continue teaching in the school.
1383
1
strongly agree
2
agree somewhat
3
feel neutral
4
disagree
5
strongly disagree
8
9
99
Don’t Know
_merge representing kbd
_merge representing kbd
_merge representing kbd
_merge representing kbd
_merge representing kbd
1383
1
1383
3
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
1065
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
1065
Number
Number
Number
Number
Number
1065
Sysmiss
Partner ID code
Partner ID code
Partner ID code
Partner ID code
Partner ID code
HHID or IRID
1065
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
20
Relationship to partner (HHID/IRID)
Relationship to partner (HHID/IRID)
Relationship to partner (HHID/IRID)
Relationship to partner (HHID/IRID)
Relationship to partner (HHID/IRID)
What is your relationship to this sexual partner?
Men under 59 yrs and women under 49 yrs.
896
169
1
Spouse
2
Live-in partner
3
Partner not living with you
4
Casual acquaintance
5
Other (specify)
Sysmiss
Relationship to partner (HHID/IRID) (Other)
Relationship to partner (HHID/IRID) (Other)
Relationship to partner (HHID/IRID) (Other)
Relationship to partner (HHID/IRID) (Other)
Relationship to partner (HHID/IRID) (Other)
What is your relationship to this sexual partner? Other (specify).
Men under 59 yrs and women under 49 yrs.
1
Last time had sex with the partner
Last time had sex with the partner
Last time had sex with the partner
Last time had sex with the partner
Last time had sex with the partner
When did you last have sex with this partner?
Men under 59 yrs and women under 49 yrs.
893
172
1
Within the past week
2
One to four weeks ago
3
More than a month ago
Sysmiss
Used condom when last had sex with partner
Used condom when last had sex with partner
Used condom when last had sex with partner
Used condom when last had sex with partner
Used condom when last had sex with partner
When you last had sex with this partner, did you use condoms?
Men under 59 yrs and women under 49 yrs.
893
172
1
Yes
2
No
8
Sysmiss
Think partner has other partners in past 6 months
Think partner has other partners in past 6 months
Think partner has other partners in past 6 months
Think partner has other partners in past 6 months
Think partner has other partners in past 6 months
Do you think your partner has had other partners in the past 6 months?
Men under 59 yrs and women under 49 yrs.
893
172
1
Yes
2
No
9
99
Don’t know
Sysmiss
Partner been tested for HIV
Partner been tested for HIV
Partner been tested for HIV
Partner been tested for HIV
Partner been tested for HIV
Has your partner ever been tested for HIV?
If answer is 2 or 99 > Go to 12 (kbc12 - variable name in dataset).
Men under 59 yrs and women under 49 yrs.
893
172
1
Yes
2
No
8
9
99
Don’t know
Sysmiss
Month when partner was tested
Month when partner was tested
Month when partner was tested
Month when partner was tested
Month when partner was tested
When was your partner tested for HIV? Month.
Men under 59 yrs and women under 49 yrs.
411
654
Year when partner was tested
Year when partner was tested
Year when partner was tested
Year when partner was tested
Year when partner was tested
When was your partner tested for HIV? Year.
Men under 59 yrs and women under 49 yrs.
411
654
Know partner's HIV status
Know partner's HIV status
Know partner's HIV status
Know partner's HIV status
Know partner's HIV status
Do you know your partner’s HIV status?
If answer is 2 > Go to 12 (kbc12 - variable name in dataset).
Men under 59 yrs and women under 49 yrs.
411
654
1
Yes
2
No
Sysmiss
Partner's HIV status
Partner's HIV status
Partner's HIV status
Partner's HIV status
Partner's HIV status
What is your partner’s HIV status?
Men under 59 yrs and women under 49 yrs.
402
663
1
HIV-Positive
2
HIV-Negative
3
Won’t say
Sysmiss
Partner's chances of HIV/AIDS
Partner's chances of HIV/AIDS
Partner's chances of HIV/AIDS
Partner's chances of HIV/AIDS
Partner's chances of HIV/AIDS
Do you think your partner’s chances of having HIV/AIDS are high, moderate, low, or do you think he/she is at no risk at all?
Men under 59 yrs and women under 49 yrs.
891
174
1
High
2
Moderate
3
Low
4
No risk at all
8
9
Sysmiss
Have you argued/quarreled
Have you argued/quarreled
Have you argued/quarreled
Have you argued/quarreled
Have you argued/quarreled
Have you ever argued/quarreled with this wife/partner?
If answer is 2 > Go to next partner.
Men under 59 yrs and women under 49 yrs.
1064
1
1
Yes
2
No
3
8
Sysmiss
How often do you argue
How often do you argue
How often do you argue
How often do you argue
How often do you argue
How often do you argue/quarrel with this wife/partner?
If answer is 1 > Go to next person.
Men under 59 yrs and women under 49 yrs.
737
328
1
Rarely
2
Sometimes
3
Often
8
Sysmiss
What is main reason for arguing
What is main reason for arguing
What is main reason for arguing
What is main reason for arguing
What is main reason for arguing
What is the main reason why you argue or quarrel?
Men under 59 yrs and women under 49 yrs.
330
Does this ever result in violence
Does this ever result in violence
Does this ever result in violence
Does this ever result in violence
Does this ever result in violence
Does this ever result in physical violence?
If answer is 2 > Go to next person.
Men under 59 yrs and women under 49 yrs.
335
730
1
Yes
2
No
8
Sysmiss
How frequently result in violence
How frequently result in violence
How frequently result in violence
How frequently result in violence
How frequently result in violence
How frequently has this happened in the past 12 months?
Men under 59 yrs and women under 49 yrs.
116
949
98
5.19
19.851
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
369
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
369
Marriages module
Marriages module
Marriages module
Marriages module
Marriages module
369
1
Yes
2
No
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
369
Day of interview
Day of interview
Day of interview
Day of interview
Day of interview
Date of Interview. Day.
369
Month of interview
Month of interview
Month of interview
Month of interview
Month of interview
Date of Interview. Month.
369
Year of interview
Year of interview
Year of interview
Year of interview
Year of interview
Date of Interview. Year.
369
Have you gotten married since Round 2
Have you gotten married since Round 2
Have you gotten married since Round 2
Have you gotten married since Round 2
Have you gotten married since Round 2
Have you gotten married since [Round 2]?
If answer is 2 > End section.
Men and women who have married since Round 2.
369
1
Yes
2
No
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
14
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
14
Count
Count
Count
Count
Count
14
Sysmiss
Household ID of partner
Household ID of partner
Household ID of partner
Household ID of partner
Household ID of partner
If not currently married or cohabitating, or if spouse died earlier > Go to section B (marriage_b - name of dataset).
Men and women who have married since Round 2.
14
Sysmiss
HHID/IRID of partner
HHID/IRID of partner
HHID/IRID of partner
HHID/IRID of partner
HHID/IRID of partner
Please list all of the people you are currently married to or are living with.
* List HHID or IRID of partner
Men and women who have married since Round 2.
14
1
2
4
6
7
10
20
Duration been living with this person
Duration been living with this person
Duration been living with this person
Duration been living with this person
Duration been living with this person
How long have you been married to/living with this person? [Number of years]
Men and women who have married since Round 2.
14
98
29.429
44.555
How living arrangement begin
How living arrangement begin
How living arrangement begin
How living arrangement begin
How living arrangement begin
How did this union/living arrangement begin?
Men and women who have married since Round 2.
13
1
1
Pre-marital cohabitation
2
Church/religious ceremony
3
Civil ceremony
4
Traditional ceremony
5
Inherited spouse
6
Other (specify)
Sysmiss
Living arrangement - Other
Living arrangement - Other
Living arrangement - Other
Living arrangement - Other
Living arrangement - Other
How did this union/living arrangement begin?
Other (specify).
Men and women who have married since Round 2.
Most recent status of the union
Most recent status of the union
Most recent status of the union
Most recent status of the union
Most recent status of the union
What is the most recent status of the union/living arrangement?
If answer is 1 > Go to 14 (mb14 - variable name in dataset).
Men and women who have married since Round 2.
14
1
Cohabitation
2
Church/religious ceremony
3
Civil ceremony
4
Traditional ceremony
Currently live in same house
Currently live in same house
Currently live in same house
Currently live in same house
Currently live in same house
Do you currently live in the same house as this person?
Men and women who have married since Round 2.
7
7
1
Yes
2
No
Sysmiss
Year when married
Year when married
Year when married
Year when married
Year when married
In what year were you married?
Either religious, civil or traditional ceremony.
Men and women who have married since Round 2.
7
7
Value of gift given by family to spouse family
Value of gift given by family to spouse family
Value of gift given by family to spouse family
Value of gift given by family to spouse family
Value of gift given by family to spouse family
What was the total value, at that time, of all gifts given by your family to your spouse’s family?
Probe for items and values
Men and women who have married since Round 2.
7
7
500
50000
17071.429
20392.868
Value of gift given to your family by spouse family
Value of gift given to your family by spouse family
Value of gift given to your family by spouse family
Value of gift given to your family by spouse family
Value of gift given to your family by spouse family
What was the total value, at that time, of all gifts given by your spouse’s family to your family?
Probe for items and values
Men and women who have married since Round 2.
7
7
1000
85000
24214.286
29815.903
Value of gift given to you & your spouse by your family
Value of gift given to you & your spouse by your family
Value of gift given to you & your spouse by your family
Value of gift given to you & your spouse by your family
Value of gift given to you & your spouse by your family
What was the total value, at that time, of all gifts given by your family to you and your spouse to establish your household?
Probe for items and values
Men and women who have married since Round 2.
7
7
1000
20000
8500
6922.187
Value of gift given to you & your spouse by spouse family
Value of gift given to you & your spouse by spouse family
Value of gift given to you & your spouse by spouse family
Value of gift given to you & your spouse by spouse family
Value of gift given to you & your spouse by spouse family
What was the total value, at that time, of all gifts given by your spouse’s family to you and your spouse to establish your household?
Probe for items and values
Men and women who have married since Round 2.
7
7
1000
10000
3857.143
3704.887
Value of gift given to you & your spouse by non-family member
Value of gift given to you & your spouse by non-family member
Value of gift given to you & your spouse by non-family member
Value of gift given to you & your spouse by non-family member
Value of gift given to you & your spouse by non-family member
What was the value of all gifts and assistance given by non-family members to you and your spouse to establish your household?
Probe for items and values
Men and women who have married since Round 2.
7
7
10000
2928.571
3446.116
Value of properties that spouse owned at time of marriage
Value of properties that spouse owned at time of marriage
Value of properties that spouse owned at time of marriage
Value of properties that spouse owned at time of marriage
Value of properties that spouse owned at time of marriage
Aside from these gifts, what was the total value of all things such as houses, money, land, and household goods, that your spouse herself/himself owned at the time of marriage?
Men and women who have married since Round 2.
7
7
2000
500000
89285.714
182952.375
Value of properties you owned at the time of marriage
Value of properties you owned at the time of marriage
Value of properties you owned at the time of marriage
Value of properties you owned at the time of marriage
Value of properties you owned at the time of marriage
Aside from these gifts, what was the total value of all things such as houses, money, land, and household goods, that you yourself owned at the time of marriage?
Men and women who have married since Round 2.
7
7
640000
140714.286
237630.465
When spouse goes to health facility has permission
When spouse goes to health facility has permission
When spouse goes to health facility has permission
When spouse goes to health facility has permission
When spouse goes to health facility has permission
Male: When your wife goes to a health facility, does she have to ask permission from you, or just inform you, or can she go on her own without telling you?
Female: When you go to a health facility, do you have to ask permission from your husband, or do you just inform him, or can you go on your own without telling him?
Men and women who have married since Round 2.
14
1
She asks
2
She informs
3
Goes on own / doesn’t need to inform
99
Don’t Know
When spouse goes to market ask for permision
When spouse goes to market ask for permision
When spouse goes to market ask for permision
When spouse goes to market ask for permision
When spouse goes to market ask for permision
Male: When your wife goes to the market, does she have to ask permission from you, just inform you, or can she go on her own without telling you?
Female: When you go to the market, do you have to ask permission from your husband, or do you just inform him, or can you go on your own without telling him?
Men and women who have married since Round 2.
14
1
She asks
2
She informs
3
Goes on own / doesn’t need to inform
99
Don’t Know
When spouse goes to visit others ask for permission
When spouse goes to visit others ask for permission
When spouse goes to visit others ask for permission
When spouse goes to visit others ask for permission
When spouse goes to visit others ask for permission
Male: When your wife goes to visit others in the village, does she have to ask permission from you, just inform you, or can she go on her own without telling you?
Female: When you go visit others in the village, do you have to ask permission from your husband, or do you just inform him, or can you go on your own without telling him?
Men and women who have married since Round 2.
14
1
She asks
2
She informs
3
Goes on own / doesn’t need to inform
99
Don’t Know
Who is responsible for deciding where to get medical treatment
Who is responsible for deciding where to get medical treatment
Who is responsible for deciding where to get medical treatment
Who is responsible for deciding where to get medical treatment
Who is responsible for deciding where to get medical treatment
Who is responsible for deciding where to get medical treatment for your children living with you in the household?
Men and women who have married since Round 2.
14
1
Respondent only
2
Spouse only
3
Both
4
Other resident family member
5
Not Applicable (no children)
Discussed ways to prevent malaria
Discussed ways to prevent malaria
Discussed ways to prevent malaria
Discussed ways to prevent malaria
Discussed ways to prevent malaria
Have you discussed ways to prevent malaria with your spouse?
Men and women who have married since Round 2.
14
1
Yes
2
No
Talked with spouse on how to protect against AIDS
Talked with spouse on how to protect against AIDS
Talked with spouse on how to protect against AIDS
Talked with spouse on how to protect against AIDS
Talked with spouse on how to protect against AIDS
Have you talked to your spouse about what you and he/she can do to protect against AIDS?
If answer is 2 > Go to 21 (mb21 - variable name in dataset).
Men less than 59 years and women less than 49 years who have married since Round 2.
14
1
Yes
2
No
What spouse think is the best protection against AIDS
What spouse think is the best protection against AIDS
What spouse think is the best protection against AIDS
What spouse think is the best protection against AIDS
What spouse think is the best protection against AIDS
What did he/she think was the best protection against AIDS?
Men less than 59 years and women less than 49 years who have married since Round 2.
13
1
1
Sex only with spouse
2
Condom with spouse/partner
3
Condom with extra-marital partner(s)
4
Abstain
5
Other (specify)
Sysmiss
Best protection - Other
Best protection - Other
Best protection - Other
Best protection - Other
Best protection - Other
What did he/she think was the best protection against AIDS? Other (specific).
Men less than 59 years and women less than 49 years who have married since Round 2.
How often talk with spouse about chances of getting HIV
How often talk with spouse about chances of getting HIV
How often talk with spouse about chances of getting HIV
How often talk with spouse about chances of getting HIV
How often talk with spouse about chances of getting HIV
How often have you talked with your spouse about the chances you or she might get infected with AIDS?
If answer is 4 > Go to 23 (mb23 - variable name in dataset).
Men less than 59 years and women less than 49 years who have married since Round 2.
14
1
Often
2
Sometimes
3
Rarely
4
Never
Last time with spouse about it
Last time with spouse about it
Last time with spouse about it
Last time with spouse about it
Last time with spouse about it
When was the last time you talked about it with your spouse?
Men less than 59 years and women less than 49 years who have married since Round 2.
13
1
1
Within the past week
2
Within the past month
3
Within the past year
4
Within the past five years
88
Don’t recall
Sysmiss
Would feel confortable suggest the use of condom
Would feel confortable suggest the use of condom
Would feel confortable suggest the use of condom
Would feel confortable suggest the use of condom
Would feel confortable suggest the use of condom
Would you feel comfortable suggesting to your partner that you and he/she use condoms?
Men less than 59 years and women less than 49 years who have married since Round 2.
14
1
Yes
2
No
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
5
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
5
Count
Count
Count
Count
Count
5
Ever been married before
Ever been married before
Ever been married before
Ever been married before
Ever been married before
If no previous marriages > Go to next module.
Beside this current marriage, have you ever been married before?
Probe for divorce and death of previous spouses.
Men and women who have married since Round 2.
Year when married
Year when married
Year when married
Year when married
Year when married
In what year were you married?
Men and women who have married since Round 2.
5
How long were married
How long were married
How long were married
How long were married
How long were married
How long were you married to this person?
Men and women who have married since Round 2.
5
3
98
24.8
41.069
Why no longer married
Why no longer married
Why no longer married
Why no longer married
Why no longer married
Why are you no longer married?
If answer is 1, 2 or 4 > Go to 8 (mc08 - variable name in dataset).
Men and women who have married since Round 2.
5
1
Divorce
2
Separation
3
Spouse died
4
Abandoned
When spouse died
When spouse died
When spouse died
When spouse died
When spouse died
In what year did the spouse die?
Men and women who have married since Round 2.
1
4
Why did spouse die
Why did spouse die
Why did spouse die
Why did spouse die
Why did spouse die
Why did the spouse die?
If answer is 2, 3, 4, 5, 6 or 7 > Go to 8 (mc08 - variable name in dataset).
Men and women who have married since Round 2.
1
4
1
Illness
2
Traffic accident
3
Childbirth or complications
4
Homicide
5
Suicide
6
Other accident or injury
7
Other (specify)
Sysmiss
Why spouse died - Other
Why spouse died - Other
Why spouse died - Other
Why spouse died - Other
Why spouse died - Other
Why did the spouse die? Other (specify).
Men and women who have married since Round 2.
Illness died from
Illness died from
Illness died from
Illness died from
Illness died from
What illness did they die from?
Men and women who have married since Round 2.
1
4
1
HIV/AIDS
2
Asthma
3
Bilharzia/ Shistosomiasis
4
Cancer
5
Diarrhea
6
Dysentry
7
Fracture/break
8
Gnorrhea
9
Intestinal Parisites
10
Malaria
11
Malnutrition (Kwashiorkor/Marasmus)
12
Measles
13
Meningitis
14
Poisoning
15
Polio
16
Syphilis
17
Tetanus
18
Tuberculosis
19
Typhoid
20
Urinary Infection
21
Witchcraft
22
Other STD (specify)
23
Other illness (specify)
24
Other injury (specify)
99
Don’t know
Sysmiss
Illness died from - Other
Illness died from - Other
Illness died from - Other
Illness died from - Other
Illness died from - Other
What illness did they die from? Other (specify).
Men and women who have married since Round 2.
How many children had with this person
How many children had with this person
How many children had with this person
How many children had with this person
How many children had with this person
How many children did you have with this person?
0 if no children.
If answer is 0 > Go to 10 (mc10 - variable name in dataset).
Men and women who have married since Round 2.
5
98
20.4
43.397
Where children live - With respondent
Where children live - With respondent
Where children live - With respondent
Where children live - With respondent
Where children live - With respondent
Where do those children live now? With me.
Enter number of children from marriage in each of the following categories.
Men and women who have married since Round 2.
3
Where children live - With spouse
Where children live - With spouse
Where children live - With spouse
Where children live - With spouse
Where children live - With spouse
Where do those children live now? With spouse.
Enter number of children from marriage in each of the following categories.
Men and women who have married since Round 2.
3
Where children live - With resp. family
Where children live - With resp. family
Where children live - With resp. family
Where children live - With resp. family
Where children live - With resp. family
Where do those children live now? With my family.
Enter number of children from marriage in each of the following categories.
Men and women who have married since Round 2.
3
Where children live - With spouse family
Where children live - With spouse family
Where children live - With spouse family
Where children live - With spouse family
Where children live - With spouse family
Where do those children live now? With spouse’s family.
Enter number of children from marriage in each of the following categories.
Men and women who have married since Round 2.
3
Where children live - Dead
Where children live - Dead
Where children live - Dead
Where children live - Dead
Where children live - Dead
Where do those children live now? Dead.
Enter number of children from marriage in each of the following categories.
Men and women who have married since Round 2.
3
Where children live - Independent
Where children live - Independent
Where children live - Independent
Where children live - Independent
Where children live - Independent
Where do those children live now? Independent.
Enter number of children from marriage in each of the following categories.
Men and women who have married since Round 2.
3
Where children live - Other
Where children live - Other
Where children live - Other
Where children live - Other
Where children live - Other
Where do those children live now? Other (specify).
Enter number of children from marriage in each of the following categories.
Men and women who have married since Round 2.
2
Where children live - Other
Where children live - Other
Where children live - Other
Where children live - Other
Where children live - Other
Where do those children live now? Other (specify).
Enter number of children from marriage in each of the following categories.
Men and women who have married since Round 2.
Value of assets that remained when marriage ended
Value of assets that remained when marriage ended
Value of assets that remained when marriage ended
Value of assets that remained when marriage ended
Value of assets that remained when marriage ended
At the time the marriage ended, what was the value of assets that you remained with (and had control of)?
Probe main assets and their value (land, equipment, household goods, other, etc.)
Men and women who have married since Round 2.
5
640000
163019.6
270346.102
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
976
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
976
Mortality Module
Mortality Module
Mortality Module
Mortality Module
Mortality Module
976
1
Yes
2
No
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
976
Day of interview
Day of interview
Day of interview
Day of interview
Day of interview
Date of Interview. Day.
976
Month of interview
Month of interview
Month of interview
Month of interview
Month of interview
Date of Interview. Month.
976
Year of interview
Year of interview
Year of interview
Year of interview
Year of interview
Date of Interview. Year.
976
Count Section C
Count Section C
Count Section C
Count Section C
Count Section C
976
Count Section D
Count Section D
Count Section D
Count Section D
Count Section D
976
Anyone died since Round 2
Anyone died since Round 2
Anyone died since Round 2
Anyone died since Round 2
Anyone died since Round 2
Has anyone who was residing in your household died since [Round 2]?
Probe for old people and infants, and check Section 4 of of the Household Roster.
976
1
Yes
2
No
Count of deaths
Count of deaths
Count of deaths
Count of deaths
Count of deaths
32
944
_merge representing mortalitya
_merge representing mortalitya
_merge representing mortalitya
_merge representing mortalitya
_merge representing mortalitya
976
1
_merge representing mortalitya2
_merge representing mortalitya2
_merge representing mortalitya2
_merge representing mortalitya2
_merge representing mortalitya2
976
1
Any children died while living elsewhere since Round 2
Any children died while living elsewhere since Round 2
Any children died while living elsewhere since Round 2
Any children died while living elsewhere since Round 2
Any children died while living elsewhere since Round 2
Have any of your children (or children of other household members) died while living elsewhere in the past five years - that is since…(same month, 5 years ago)?
Probe for adult children who died while living elsewhere, or foster children.
If answer is 2 > End.
976
1
Yes
2
No
Count of children who died
Count of children who died
Count of children who died
Count of children who died
Count of children who died
6
970
_merge representing mortalityb
_merge representing mortalityb
_merge representing mortalityb
_merge representing mortalityb
_merge representing mortalityb
976
1
_merge representing mortalityb2
_merge representing mortalityb2
_merge representing mortalityb2
_merge representing mortalityb2
_merge representing mortalityb2
976
1
_merge representing mortalityc
_merge representing mortalityc
_merge representing mortalityc
_merge representing mortalityc
_merge representing mortalityc
976
1
_merge representing mortalityd
_merge representing mortalityd
_merge representing mortalityd
_merge representing mortalityd
_merge representing mortalityd
976
1
976
3
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
32
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
32
Count
Count
Count
Count
Count
32
Name of deceased
Name of deceased
Name of deceased
Name of deceased
Name of deceased
NAME of deceased person.
All household members who died between round 2 and round 3
ID code
ID code
ID code
ID code
ID code
ID Code of deceased person (from household roster).
All household members who died between round 2 and round 3
31
1
Sex
Sex
Sex
Sex
Sex
Sex of [NAME]
All household members who died between round 2 and round 3
32
1
Male
2
Female
Relationship
Relationship
Relationship
Relationship
Relationship
What was the relation between [NAME] and the respondent?
All household members who died between round 2 and round 3
16
16
1
Self
2
Spouse
3
Son
4
Daughter
5
Father
6
Mother
7
Grandson
8
Granddaughter
9
Grandfather
10
Grandmother
11
Brother
12
Sister
13
Uncle
14
Aunt
15
Co-wife
16
Cousin
17
Niece
18
Nephew
19
Stepchild
20
Foster child
103
Son in law
104
Daughter in law
105
Father in law
106
Mother in law
110
Grandmother in law
111
Brother in law
112
Sister in law
Relationship - Other
Relationship - Other
Relationship - Other
Relationship - Other
Relationship - Other
What was the relation between [NAME] and the respondent? Other (specify).
All household members who died between round 2 and round 3
Age when died
Age when died
Age when died
Age when died
Age when died
How old was [NAME] when he/she passed away?
All household members who died between round 2 and round 3
31
1
1
115
52
31.866
Was HH head
Was HH head
Was HH head
Was HH head
Was HH head
Was [NAME] the household head before he/she passed away?
All household members who died between round 2 and round 3
16
16
1
Yes
2
No
Sysmiss
Natural parent living in HH hold
Natural parent living in HH hold
Natural parent living in HH hold
Natural parent living in HH hold
Natural parent living in HH hold
Did [NAME] have a natural parent living in this household at the time of death?
If answer is 2 > Go to 10 (mort10 - variable name in dataset).
All household members who died between round 2 and round 3
16
16
1
Yes
2
No
8
Sysmiss
Parents - Father ID
Parents - Father ID
Parents - Father ID
Parents - Father ID
Parents - Father ID
Who are the parents of [NAME]? Father ID.
* Copy ID code of mother and father.
* 88 (not resident) and 98 (deceased).
All household members who died between round 2 and round 3
7
25
Parents - Mother ID
Parents - Mother ID
Parents - Mother ID
Parents - Mother ID
Parents - Mother ID
Who are the parents of [NAME]? Mother ID.
* Copy ID code of mother and father.
* 88 (not resident) and 98 (deceased).
All household members who died between round 2 and round 3
7
25
Was older than 12 years
Was older than 12 years
Was older than 12 years
Was older than 12 years
Was older than 12 years
Interviewer: Was [NAME] older than 12 years at the time of his/her death?
If answer is 2 > Go to 17 (mort17 - variable name in dataset).
All household members who died between round 2 and round 3
32
1
Yes
2
No
Was married at the time of death
Was married at the time of death
Was married at the time of death
Was married at the time of death
Was married at the time of death
Was [NAME] married at the time of his/her death?
If answer is 2 > Go to 14 (mort14 - variable name in dataset).
All household members who died between round 2 and round 3
26
6
1
Yes
2
No
Sysmiss
Spouse live in household
Spouse live in household
Spouse live in household
Spouse live in household
Spouse live in household
Does the husband/wife of this person live in this household?
If answer is 2 > Go to 14 (mort14 - variable name in dataset).
All household members who died between round 2 and round 3
9
23
1
Yes
2
No
Sysmiss
Spouse ID code
Spouse ID code
Spouse ID code
Spouse ID code
Spouse ID code
Record the ID code of the wife or husband from the household roster.
All household members who died between round 2 and round 3
9
23
Had any children before died
Had any children before died
Had any children before died
Had any children before died
Had any children before died
Did [NAME] have any children living in this household?
If answer is 2 > Go to 16 (mort16 - variable name in dataset).
All household members who died between round 2 and round 3
11
21
1
Yes
2
No
Sysmiss
ID code of children - 1
ID code of children - 1
ID code of children - 1
ID code of children - 1
ID code of children - 1
Record the ID codes of all of the children (adults and youngsters) of [NAME] who are household members.
All household members who died between round 2 and round 3
10
22
ID code of children - 2
ID code of children - 2
ID code of children - 2
ID code of children - 2
ID code of children - 2
Record the ID codes of all of the children (adults and youngsters) of [NAME] who are household members.
All household members who died between round 2 and round 3
9
23
ID code of children - 3
ID code of children - 3
ID code of children - 3
ID code of children - 3
ID code of children - 3
Record the ID codes of all of the children (adults and youngsters) of [NAME] who are household members.
All household members who died between round 2 and round 3
8
24
ID code of children - 4
ID code of children - 4
ID code of children - 4
ID code of children - 4
ID code of children - 4
Record the ID codes of all of the children (adults and youngsters) of [NAME] who are household members.
All household members who died between round 2 and round 3
4
28
ID code of children - 5
ID code of children - 5
ID code of children - 5
ID code of children - 5
ID code of children - 5
Record the ID codes of all of the children (adults and youngsters) of [NAME] who are household members.
All household members who died between round 2 and round 3
3
29
ID code of children - 6
ID code of children - 6
ID code of children - 6
ID code of children - 6
ID code of children - 6
Record the ID codes of all of the children (adults and youngsters) of [NAME] who are household members.
All household members who died between round 2 and round 3
1
31
ID code of children - 7
ID code of children - 7
ID code of children - 7
ID code of children - 7
ID code of children - 7
Record the ID codes of all of the children (adults and youngsters) of [NAME] who are household members.
All household members who died between round 2 and round 3
1
31
Kind of work person did
Kind of work person did
Kind of work person did
Kind of work person did
Kind of work person did
What kind of work did this person do for most of his/her life?
All household members who died between round 2 and round 3
26
6
1
Crop farmer
2
Animal farmer
3
Housewife
4
Trader/merchant/salesperson
5
Transport worker
6
Construction worker
7
Teacher/education professional
8
Health professional/TBA/trad. Healer
9
Secretary/clerical
10
Factory worker
11
Restaurant/bar/hotel
12
Skilled trades (carpenter, tailor, etc.)
13
Preacher/pastor
14
Village elder
15
Domestic worker
16
Civil Servant/Government
17
Other (specify)
88
No activity/unemployed
99
Don’t Know
Kind of work - Other
Kind of work - Other
Kind of work - Other
Kind of work - Other
Kind of work - Other
What kind of work did this person do for most of his/her life? Other (specify).
All household members who died between round 2 and round 3
1
Ever attend school
Ever attend school
Ever attend school
Ever attend school
Ever attend school
Did [NAME] ever attend school?
If answer is 2 > Go to 19 (mort19 - variable name in dataset).
All household members who died between round 2 and round 3
16
16
1
Yes
2
No
8
Sysmiss
Highest grade - Level
Highest grade - Level
Highest grade - Level
Highest grade - Level
Highest grade - Level
What was the highest grade [NAME] completed? Level.
All household members who died between round 2 and round 3
1
31
1
Nursery
2
Primary
3
Secondary
4
Post-sec.
Sysmiss
Highest grade - # of years
Highest grade - # of years
Highest grade - # of years
Highest grade - # of years
Highest grade - # of years
What was the highest grade [NAME] completed? Number of years.
All household members who died between round 2 and round 3
32
Sysmiss
When died - Month
When died - Month
When died - Month
When died - Month
When died - Month
NOW I WOULD LIKE TO ASK YOU ABOUT CIRCUMSTANCES SURROUNDING NAME’s DEATH.
In what month and year did [NAME] die? Month.
All household members who died between round 2 and round 3
32
When died - Year
When died - Year
When died - Year
When died - Year
When died - Year
NOW I WOULD LIKE TO ASK YOU ABOUT CIRCUMSTANCES SURROUNDING NAME's DEATH.
In what month and year did [NAME] die? Year.
All household members who died between round 2 and round 3
32
Cause of death
Cause of death
Cause of death
Cause of death
Cause of death
What was the cause of [NAME’s] death?
If answer is 1 > Go to 21 (mort21 - variable name in dataset).
If answer is 2, 3, 4, 5, 6 or 7 > Go to 36 (mort36 - variable name in dataset).
If answer is 99 > Go to 25 (mort25a - variable name in dataset).
All household members who died between round 2 and round 3
32
1
Illness
2
Traffic accident
3
Childbirth or complications
4
Homicide
5
Suicide
6
Other accident or injury
7
Other (specify)
99
Don’t Know
Cause of death - Other
Cause of death - Other
Cause of death - Other
Cause of death - Other
Cause of death - Other
What was the cause of [NAME’s] death?
All household members who died between round 2 and round 3
3
Ever seek medical treatment for condition
Ever seek medical treatment for condition
Ever seek medical treatment for condition
Ever seek medical treatment for condition
Ever seek medical treatment for condition
Did [NAME] ever seek medical treatment for the condition that led to his/her death?
If answer is 2 > Go to 24 (mort24 - variable name in dataset).
All household members who died between round 2 and round 3
27
5
1
Yes
2
No
Sysmiss
Health practitioners visited - 1
Health practitioners visited - 1
Health practitioners visited - 1
Health practitioners visited - 1
Health practitioners visited - 1
Which health practitioners/establishments did [NAME] visit?
* List up to three practitioner codes.
All household members who died between round 2 and round 3
27
5
1
National Referral Hosp. (Kenyatta, Moi)
2
Government District/Provincial Hosp.
3
Mosoriot Rural Health Center
4
Government Health Center (exc. Mosoriot)
5
Government dispensary
6
Mission hospital/clinic
7
Other private hospital/clinic
8
Chemist/pharmacy
9
Private doctor (like priv. clinic)
10
Mobile clinic
11
Community health worker
12
Retail shop
13
Herbalist/traditional healer
14
Relative/friend
15
Other (specify)
Sysmiss
Health practitioners visited - 2
Health practitioners visited - 2
Health practitioners visited - 2
Health practitioners visited - 2
Health practitioners visited - 2
Which health practitioners/establishments did [NAME] visit?
* List up to three practitioner codes.
All household members who died between round 2 and round 3
15
17
1
National Referral Hosp. (Kenyatta, Moi)
2
Government District/Provincial Hosp.
3
Mosoriot Rural Health Center
4
Government Health Center (exc. Mosoriot)
5
Government dispensary
6
Mission hospital/clinic
7
Other private hospital/clinic
8
Chemist/pharmacy
9
Private doctor (like priv. clinic)
10
Mobile clinic
11
Community health worker
12
Retail shop
13
Herbalist/traditional healer
14
Relative/friend
15
Other (specify)
Sysmiss
Health practitioners visited - 3
Health practitioners visited - 3
Health practitioners visited - 3
Health practitioners visited - 3
Health practitioners visited - 3
Which health practitioners/establishments did [NAME] visit?
* List up to three practitioner codes.
All household members who died between round 2 and round 3
3
29
1
National Referral Hosp. (Kenyatta, Moi)
2
Government District/Provincial Hosp.
3
Mosoriot Rural Health Center
4
Government Health Center (exc. Mosoriot)
5
Government dispensary
6
Mission hospital/clinic
7
Other private hospital/clinic
8
Chemist/pharmacy
9
Private doctor (like priv. clinic)
10
Mobile clinic
11
Community health worker
12
Retail shop
13
Herbalist/traditional healer
14
Relative/friend
15
Other (specify)
Sysmiss
Health practitioners - Other
Health practitioners - Other
Health practitioners - Other
Health practitioners - Other
Health practitioners - Other
Which health practitioners/establishments did [NAME] visit? Other (specify).
* List up to three practitioner codes.
All household members who died between round 2 and round 3
Illness health practitioner report
Illness health practitioner report
Illness health practitioner report
Illness health practitioner report
Illness health practitioner report
What illness did the health practitioner report that [NAME] was suffering from?
All household members who died between round 2 and round 3
27
5
1
HIV/AIDS
2
Asthma
3
Bilharzia/ Shistosomiasis
4
Cancer
5
Diarrhea
6
Dysentry
7
Fracture/break
8
Gnorrhea
9
Intestinal Parisites
10
Malaria
11
Malnutrition (Kwashiorkor/Marasmus)
12
Measles
13
Meningitis
14
Poisoning
15
Polio
16
Syphilis
17
Tetanus
18
Tuberculosis
19
Typhoid
20
Urinary Infection
21
Witchcraft
22
Other STD (specify)
23
Other illness (specify)
24
Other injury (specify)
31
99
Don’t know
Sysmiss
Illness practitioner report - Other
Illness practitioner report - Other
Illness practitioner report - Other
Illness practitioner report - Other
Illness practitioner report - Other
What illness did the health practitioner report that [NAME] was suffering from? Other (specify).
All household members who died between round 2 and round 3
4
Illness respondent think
Illness respondent think
Illness respondent think
Illness respondent think
Illness respondent think
What illness do you think [NAME] was suffering from?
All household members who died between round 2 and round 3
27
5
1
HIV/AIDS
2
Asthma
3
Bilharzia/ Shistosomiasis
4
Cancer
5
Diarrhea
6
Dysentry
7
Fracture/break
8
Gnorrhea
9
Intestinal Parisites
10
Malaria
11
Malnutrition (Kwashiorkor/Marasmus)
12
Measles
13
Meningitis
14
Poisoning
15
Polio
16
Syphilis
17
Tetanus
18
Tuberculosis
19
Typhoid
20
Urinary Infection
21
Witchcraft
22
Other STD (specify)
23
Other illness (specify)
24
Other injury (specify)
30
31
99
Don’t know
Sysmiss
Illness respondent - Other
Illness respondent - Other
Illness respondent - Other
Illness respondent - Other
Illness respondent - Other
What illness do you think [NAME] was suffering from? Other (specify).
All household members who died between round 2 and round 3
2
Symptoms had - 1
Symptoms had - 1
Symptoms had - 1
Symptoms had - 1
Symptoms had - 1
Please describe the symptoms [NAME] had during his/her illness?
* List up to five symptoms.
All household members who died between round 2 and round 3
27
5
1
Diarrhea (acute)
2
Diarrhea (chronic, 1 month or more)
3
Weight loss (major)
4
Fever (acute)
5
Fever (recurring)
6
Skin rash
7
Weakness
8
Severe headache
9
Fainting
10
Chills (feeling hot and cold)
11
Vomiting
12
Cough
13
Productive cough
14
Coughing blood
15
Pain on passing urine
16
Genital sores
17
Mental disorder
18
Abdominal pain
19
Sore throat
20
Difficulty breathing
21
Burn
22
Fracture
23
Wound
24
Child birth
25
Ameobeosis
26
Other (specify)
30
32
Sysmiss
Symptoms had - 2
Symptoms had - 2
Symptoms had - 2
Symptoms had - 2
Symptoms had - 2
Please describe the symptoms [NAME] had during his/her illness?
* List up to five symptoms.
All household members who died between round 2 and round 3
25
7
1
Diarrhea (acute)
2
Diarrhea (chronic, 1 month or more)
3
Weight loss (major)
4
Fever (acute)
5
Fever (recurring)
6
Skin rash
7
Weakness
8
Severe headache
9
Fainting
10
Chills (feeling hot and cold)
11
Vomiting
12
Cough
13
Productive cough
14
Coughing blood
15
Pain on passing urine
16
Genital sores
17
Mental disorder
18
Abdominal pain
19
Sore throat
20
Difficulty breathing
21
Burn
22
Fracture
23
Wound
24
Child birth
25
Ameobeosis
26
Other (specify)
30
31
32
Sysmiss
Symptoms had - 3
Symptoms had - 3
Symptoms had - 3
Symptoms had - 3
Symptoms had - 3
Please describe the symptoms [NAME] had during his/her illness?
* List up to five symptoms.
All household members who died between round 2 and round 3
16
16
1
Diarrhea (acute)
2
Diarrhea (chronic, 1 month or more)
3
Weight loss (major)
4
Fever (acute)
5
Fever (recurring)
6
Skin rash
7
Weakness
8
Severe headache
9
Fainting
10
Chills (feeling hot and cold)
11
Vomiting
12
Cough
13
Productive cough
14
Coughing blood
15
Pain on passing urine
16
Genital sores
17
Mental disorder
18
Abdominal pain
19
Sore throat
20
Difficulty breathing
21
Burn
22
Fracture
23
Wound
24
Child birth
25
Ameobeosis
26
Other (specify)
32
Sysmiss
Symptoms had - 4
Symptoms had - 4
Symptoms had - 4
Symptoms had - 4
Symptoms had - 4
Please describe the symptoms [NAME] had during his/her illness?
* List up to five symptoms.
All household members who died between round 2 and round 3
8
24
1
Diarrhea (acute)
2
Diarrhea (chronic, 1 month or more)
3
Weight loss (major)
4
Fever (acute)
5
Fever (recurring)
6
Skin rash
7
Weakness
8
Severe headache
9
Fainting
10
Chills (feeling hot and cold)
11
Vomiting
12
Cough
13
Productive cough
14
Coughing blood
15
Pain on passing urine
16
Genital sores
17
Mental disorder
18
Abdominal pain
19
Sore throat
20
Difficulty breathing
21
Burn
22
Fracture
23
Wound
24
Child birth
25
Ameobeosis
26
Other (specify)
Sysmiss
Symptoms had - 5
Symptoms had - 5
Symptoms had - 5
Symptoms had - 5
Symptoms had - 5
Please describe the symptoms [NAME] had during his/her illness?
* List up to five symptoms.
All household members who died between round 2 and round 3
6
26
1
Diarrhea (acute)
2
Diarrhea (chronic, 1 month or more)
3
Weight loss (major)
4
Fever (acute)
5
Fever (recurring)
6
Skin rash
7
Weakness
8
Severe headache
9
Fainting
10
Chills (feeling hot and cold)
11
Vomiting
12
Cough
13
Productive cough
14
Coughing blood
15
Pain on passing urine
16
Genital sores
17
Mental disorder
18
Abdominal pain
19
Sore throat
20
Difficulty breathing
21
Burn
22
Fracture
23
Wound
24
Child birth
25
Ameobeosis
26
Other (specify)
Sysmiss
Symptoms had - 5 (Other)
Symptoms had - 5 (Other)
Symptoms had - 5 (Other)
Symptoms had - 5 (Other)
Symptoms had - 5 (Other)
Please describe the symptoms [NAME] had during his/her illness? Other (specify).
* List up to five symptoms.
All household members who died between round 2 and round 3
5
Had diarrhea for a month or more
Had diarrhea for a month or more
Had diarrhea for a month or more
Had diarrhea for a month or more
Had diarrhea for a month or more
LEAVE BLANK and DO NOT ASK QUESTION IF SYMPTOM HAS ALREADY BEEN REPORTED BY THE RESPONDENT.
[If diarrhoea not cited]…
Did [NAME] have diarrhoea for a month or more?
All household members who died between round 2 and round 3
18
14
1
Yes
2
No
8
Sysmiss
Continously lose weight
Continously lose weight
Continously lose weight
Continously lose weight
Continously lose weight
LEAVE BLANK and DO NOT ASK QUESTION IF SYMPTOM HAS ALREADY BEEN REPORTED BY THE RESPONDENT.
[If weight loss not cited]…
Did [NAME] continuously lose weight in the six months before his/her death?
All household members who died between round 2 and round 3
21
11
1
Yes
2
No
Sysmiss
Had skin rush in six months before died
Had skin rush in six months before died
Had skin rush in six months before died
Had skin rush in six months before died
Had skin rush in six months before died
LEAVE BLANK and DO NOT ASK QUESTION IF SYMPTOM HAS ALREADY BEEN REPORTED BY THE RESPONDENT.
[If skin rash not cited]…
Did [NAME] have a skin rash in
the six months before his/her death?
All household members who died between round 2 and round 3
23
9
1
Yes
2
No
Sysmiss
Suffer from a persistent sore throat before died
Suffer from a persistent sore throat before died
Suffer from a persistent sore throat before died
Suffer from a persistent sore throat before died
Suffer from a persistent sore throat before died
LEAVE BLANK and DO NOT ASK QUESTION IF SYMPTOM HAS ALREADY BEEN REPORTED BY THE RESPONDENT.
[If sore throat not cited]…
Did [NAME] suffer from a persistent sore throat in the six months before his/her death?
All household members who died between round 2 and round 3
24
8
1
Yes
2
No
Sysmiss
Suffer from a fever in six months before died
Suffer from a fever in six months before died
Suffer from a fever in six months before died
Suffer from a fever in six months before died
Suffer from a fever in six months before died
LEAVE BLANK and DO NOT ASK QUESTION IF SYMPTOM HAS ALREADY BEEN REPORTED BY THE RESPONDENT.
[If fever not cited]…
Did [NAME] suffer from a fever in the six months before his/her death?
All household members who died between round 2 and round 3
23
9
1
Yes
2
No
8
Sysmiss
How long suffered from illness before death - Amount
How long suffered from illness before death - Amount
How long suffered from illness before death - Amount
How long suffered from illness before death - Amount
How long suffered from illness before death - Amount
For how long was [NAME] suffering from this illness before his/her death? Amount of time.
All household members who died between round 2 and round 3
27
5
1
10
3.185
2.497
How long suffered from illness before death - Time unit
How long suffered from illness before death - Time unit
How long suffered from illness before death - Time unit
How long suffered from illness before death - Time unit
How long suffered from illness before death - Time unit
For how long was [NAME] suffering from this illness before his/her death? Time unit.
All household members who died between round 2 and round 3
27
5
1
Minutes
2
Hours
3
Days
4
Weeks
5
Months
6
Years
Sysmiss
Death occur in the past 12 months
Death occur in the past 12 months
Death occur in the past 12 months
Death occur in the past 12 months
Death occur in the past 12 months
Interviewer: Did [NAME's] death occur in the past 12 months?
See19.
If answer is 2 > Go to 34 (mort34 - variable name in dataset).
All household members who died between round 2 and round 3
27
5
1
Yes
2
No
Sysmiss
Amount HH spend on illness in 6 months prior to death
Amount HH spend on illness in 6 months prior to death
Amount HH spend on illness in 6 months prior to death
Amount HH spend on illness in 6 months prior to death
Amount HH spend on illness in 6 months prior to death
How much money did your household spend on [NAME’s] illness in the six months prior to death (including the cost of treatment, medicines, transport and other expenses)?
* Probe for payments in cash or kind.
All household members who died between round 2 and round 3
19
13
500000
68525.526
151391.639
Sold any assets in order to pay for medical
Sold any assets in order to pay for medical
Sold any assets in order to pay for medical
Sold any assets in order to pay for medical
Sold any assets in order to pay for medical
Did members of your household have to sell any assets (such as land, livestock, farm equipment, etc) in order to pay for the medical expenses associated with [NAME’s] illness?
All household members who died between round 2 and round 3
27
5
1
Yes
2
No
Sysmiss
HH received contributions from friends
HH received contributions from friends
HH received contributions from friends
HH received contributions from friends
HH received contributions from friends
Did anyone in the household receive contributions from friends or relatives to pay for [NAME’s] medical expenses?
If answer is 2 > Go to 37 (mort37 - variable name in dataset).
All household members who died between round 2 and round 3
27
5
1
Yes
2
No
Sysmiss
Total amount received
Total amount received
Total amount received
Total amount received
Total amount received
What was the total amoung received from all friends and relatives?
All household members who died between round 2 and round 3
11
21
99
280000
72254.455
116270.345
What happened to agricultural activities
What happened to agricultural activities
What happened to agricultural activities
What happened to agricultural activities
What happened to agricultural activities
NOW I WOULD LIKE TO ASK YOU ABOUT EVENTS AFTER NAME’S DEATH.
What happened to the agricultural activities of your household as a result of [NAME’s] death?
All household members who died between round 2 and round 3
32
1
Lower
2
Higher
3
No change
4
N/A (never did farming)
What happened to rest of income-earning activities
What happened to rest of income-earning activities
What happened to rest of income-earning activities
What happened to rest of income-earning activities
What happened to rest of income-earning activities
What happened to the rest of the income-earning activities of your household as a result of [NAME’s] death?
All household members who died between round 2 and round 3
32
1
Lower
2
Higher
3
No change
Any relative work on a shamba to compensate
Any relative work on a shamba to compensate
Any relative work on a shamba to compensate
Any relative work on a shamba to compensate
Any relative work on a shamba to compensate
Did any relatives or community members (who weren’t household members) work on your shamba to compensate for the loss of labor from [NAME’s] death?
All household members who died between round 2 and round 3
32
1
Yes
2
No
3
N/A (household doesn’t do farming)
After death, any children came to stay
After death, any children came to stay
After death, any children came to stay
After death, any children came to stay
After death, any children came to stay
After [NAME’s] death, did any children or other relatives come to stay at your household for an extended period?
All household members who died between round 2 and round 3
32
1
Yes
2
No
How much was spent in total on funeral
How much was spent in total on funeral
How much was spent in total on funeral
How much was spent in total on funeral
How much was spent in total on funeral
How much was spent in total on [NAME’s] funeral?
* Include the cost of transportation of the body, food for visitors, coffin, burial, etc.
* Include contributions from non-household members.
All household members who died between round 2 and round 3
32
700
150000
27430.781
28019.805
How much was spent by members of HH members
How much was spent by members of HH members
How much was spent by members of HH members
How much was spent by members of HH members
How much was spent by members of HH members
How much was spent by members of your household for [NAME’s] funeral?
* Probe for out-of-pocket expenses of household members only.
All household members who died between round 2 and round 3
32
300
100000
15901.563
19955.153
Membersof HH have to sell any assets
Membersof HH have to sell any assets
Membersof HH have to sell any assets
Membersof HH have to sell any assets
Membersof HH have to sell any assets
Did members of your household have to sell any assets (such as land, livestock, farm equipment, etc) in order to pay for the funeral expenses associated with [NAME’s] illness?
All household members who died between round 2 and round 3
32
1
Yes
2
No
Receive contributions from friends
Receive contributions from friends
Receive contributions from friends
Receive contributions from friends
Receive contributions from friends
Did anyone in the household receive contributions from friends or relatives to pay for [NAME’s] funeral expenses?
All household members who died between round 2 and round 3
32
1
Yes
2
No
Total amount received from relatives
Total amount received from relatives
Total amount received from relatives
Total amount received from relatives
Total amount received from relatives
What was the total amount received from all these friends and relatives?
All household members who died between round 2 and round 3
32
50000
10602.625
11535.015
Total amount received from organizations
Total amount received from organizations
Total amount received from organizations
Total amount received from organizations
Total amount received from organizations
What was the total amount received from organizations and community groups?
All household members who died between round 2 and round 3
31
1
10000
1137.097
2717.105
Did lose assets or land due to inheritance
Did lose assets or land due to inheritance
Did lose assets or land due to inheritance
Did lose assets or land due to inheritance
Did lose assets or land due to inheritance
After [NAME] died, did you or members of your household lose assets or land due to inheritance traditions?
If answer is 2 > Go to next person.
All household members who died between round 2 and round 3
32
1
Yes
2
No
Value of the land and assets lost
Value of the land and assets lost
Value of the land and assets lost
Value of the land and assets lost
Value of the land and assets lost
What was the value of the land and/or assets lost?
Total value of these assets today, in KShs.
All household members who died between round 2 and round 3
2
30
4000
8000
6000
2828.427
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
6
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
6
Count
Count
Count
Count
Count
6
Name of deceased person
Name of deceased person
Name of deceased person
Name of deceased person
Name of deceased person
NAME of deceased person.
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
ID code of deceased person
ID code of deceased person
ID code of deceased person
ID code of deceased person
ID code of deceased person
ID Code of deceased person (from round 1 household roster, if applicable).
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
6
Sex
Sex
Sex
Sex
Sex
Sex of [NAME]
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
6
1
Male
2
Female
Relationship
Relationship
Relationship
Relationship
Relationship
What was the relation between [NAME] and the respondent?
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
5
1
1
Self
2
Spouse
3
Son
4
Daughter
5
Father
6
Mother
7
Grandson
8
Granddaughter
9
Grandfather
10
Grandmother
11
Brother
12
Sister
13
Uncle
14
Aunt
15
Co-wife
16
Cousin
17
Niece
18
Nephew
19
Stepchild
20
Foster child
30
Local Friend/Neighbor
31
Non-resident Friend
32
Village head
33
Lineage head
34
Househelper
35
Employee
36
Employer
37
Landlord
38
Tenant/Renter
39
Priest
40
Trader
41
Other (specify)
99
Don’t Know
103
Son in law
104
Daughter in law
105
Father in law
106
Mother in law
110
Grandmother in law
111
Brother in law
112
Sister in law
Relationship - Other
Relationship - Other
Relationship - Other
Relationship - Other
Relationship - Other
What was the relation between [NAME] and the respondent? Other (specify).
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
Age at death
Age at death
Age at death
Age at death
Age at death
How old was [NAME] when he/she passed away?
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
6
25
39
29.833
5.115
Parents - Father ID
Parents - Father ID
Parents - Father ID
Parents - Father ID
Parents - Father ID
Who are the parents of [NAME]? Father ID.
* Copy ID code of mother and father.
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
6
88
Not resident
98
Deceased
Parents - Mother ID
Parents - Mother ID
Parents - Mother ID
Parents - Mother ID
Parents - Mother ID
Who are the parents of [NAME]? Mother ID.
* Copy ID code of mother and father.
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
6
88
Not resident
98
Deceased
Where was residing at time of death
Where was residing at time of death
Where was residing at time of death
Where was residing at time of death
Where was residing at time of death
Where was [NAME] residing at the time of his/her death?
Make sure [NAME] wasn’t a hh member at time of death.
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
6
1
This village
2
This location
3
Kosirai Division
4
Nandi District (inc. Kapsabet)
5
Uasin-Gishu District (exc. Eldoret)
6
Eldoret
7
Kakamega
8
Kitale
9
Kisumu
10
Nakuru
11
Nairobi
12
Other urban area
13
Other rural area
14
Outside Kenya
Was older than 12 years
Was older than 12 years
Was older than 12 years
Was older than 12 years
Was older than 12 years
Interviewer: Was [NAME] older than 12 years at the time of death?
See 6.
If answer is 2 > Go to 15 (mortb15 - variable name in dataset).
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
6
1
Yes
2
No
Was married at the time of death
Was married at the time of death
Was married at the time of death
Was married at the time of death
Was married at the time of death
Was [NAME] married at the time of his/her death?
If answer is 2 > Go to 13 (mortb13 - variable name in dataset).
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
6
1
Yes
2
No
Spouse live in Household
Spouse live in Household
Spouse live in Household
Spouse live in Household
Spouse live in Household
Does the husband/wife of this person live in this household?
If answer is 2 > Go to 13 (mortb13 - variable name in dataset).
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
3
3
1
Yes
2
No
Sysmiss
ID code of spouse
ID code of spouse
ID code of spouse
ID code of spouse
ID code of spouse
Record the ID code of the wife or husband from the household roster.
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
6
Had any children before died
Had any children before died
Had any children before died
Had any children before died
Had any children before died
Did [NAME] have any children living in this household?
If answer is 2 > Go to 15 (mortb15 - variable name in dataset).
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
6
1
Yes
2
No
ID code of children - 1
ID code of children - 1
ID code of children - 1
ID code of children - 1
ID code of children - 1
Record the ID codes of all of the children (adults and youngsters) of [NAME] who are household members.
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
1
5
ID code of children - 2
ID code of children - 2
ID code of children - 2
ID code of children - 2
ID code of children - 2
Record the ID codes of all of the children (adults and youngsters) of [NAME] who are household members.
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
1
5
ID code of children - 3
ID code of children - 3
ID code of children - 3
ID code of children - 3
ID code of children - 3
Record the ID codes of all of the children (adults and youngsters) of [NAME] who are household members.
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
6
ID code of children - 4
ID code of children - 4
ID code of children - 4
ID code of children - 4
ID code of children - 4
Record the ID codes of all of the children (adults and youngsters) of [NAME] who are household members.
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
6
Ever attend school
Ever attend school
Ever attend school
Ever attend school
Ever attend school
Did [NAME] ever attend school?
If answer is 2 > Go to 17 (mortb17 - variable name in dataset).
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
6
1
Yes
2
No
Highest grade - Level
Highest grade - Level
Highest grade - Level
Highest grade - Level
Highest grade - Level
What was the highest grade that [NAME] completed? Level.
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
6
1
Nursery
2
Primary
3
Secondary
4
Post-sec.
Highest grade - # of years
Highest grade - # of years
Highest grade - # of years
Highest grade - # of years
Highest grade - # of years
What was the highest grade that [NAME] completed? Number of years.
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
6
8
4.667
3.141
When died - Month
When died - Month
When died - Month
When died - Month
When died - Month
In what month and year did [NAME] die? Month.
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
6
When died - Year
When died - Year
When died - Year
When died - Year
When died - Year
In what month and year did [NAME] die? Year.
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
6
Cause of death
Cause of death
Cause of death
Cause of death
Cause of death
What was the cause of [NAME’s] death?
If answer is 1 > Go to 19 (mortb19 - variable name in dataset).
If answer is 2, 3, 4, 5, 6, or 7 > Go to 21 (mortb21 - variable name in dataset).
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
6
1
Illness
2
Traffic accident
3
Childbirth or complications
4
Homicide
5
Suicide
6
Other accident or injury
7
Other (specify)
Cause of death - Other
Cause of death - Other
Cause of death - Other
Cause of death - Other
Cause of death - Other
What was the cause of [NAME’s] death? Other (specify).
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
Illness respondent think
Illness respondent think
Illness respondent think
Illness respondent think
Illness respondent think
What illness do you think [NAME] was suffering from?
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
3
3
1
HIV/AIDS
2
Asthma
3
Bilharzia/ Shistosomiasis
4
Cancer
5
Diarrhea
6
Dysentry
7
Fracture/break
8
Gnorrhea
9
Intestinal Parisites
10
Malaria
11
Malnutrition (Kwashiorkor/Marasmus)
12
Measles
13
Meningitis
14
Poisoning
15
Polio
16
Syphilis
17
Tetanus
18
Tuberculosis
19
Typhoid
20
Urinary Infection
21
Witchcraft
22
Other STD (specify)
23
Other illness (specify)
24
Other injury (specify)
99
Don’t know
Sysmiss
Illness respondent - Other
Illness respondent - Other
Illness respondent - Other
Illness respondent - Other
Illness respondent - Other
What illness do you think [NAME] was suffering from? Other (specify).
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
2
Symptoms had - 1
Symptoms had - 1
Symptoms had - 1
Symptoms had - 1
Symptoms had - 1
Please describe the symptoms [NAME] had during his/her illness?
* List up to five symptoms.
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
3
3
1
Diarrhea (acute)
2
Diarrhea (chronic, 1 month or more)
3
Weight loss (major)
4
Fever (acute)
5
Fever (recurring)
6
Skin rash
7
Weakness
8
Severe headache
9
Fainting
10
Chills (feeling hot and cold)
11
Vomiting
12
Cough
13
Productive cough
14
Coughing blood
15
Pain on passing urine
16
Genital sores
17
Mental disorder
18
Abdominal pain
19
Sore throat
20
Difficulty breathing
21
Burn
22
Fracture
23
Wound
24
Child birth
25
Ameobeosis
26
Other (specify)
Sysmiss
Symptoms had - 2
Symptoms had - 2
Symptoms had - 2
Symptoms had - 2
Symptoms had - 2
Please describe the symptoms [NAME] had during his/her illness?
* List up to five symptoms.
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
3
3
1
Diarrhea (acute)
2
Diarrhea (chronic, 1 month or more)
3
Weight loss (major)
4
Fever (acute)
5
Fever (recurring)
6
Skin rash
7
Weakness
8
Severe headache
9
Fainting
10
Chills (feeling hot and cold)
11
Vomiting
12
Cough
13
Productive cough
14
Coughing blood
15
Pain on passing urine
16
Genital sores
17
Mental disorder
18
Abdominal pain
19
Sore throat
20
Difficulty breathing
21
Burn
22
Fracture
23
Wound
24
Child birth
25
Ameobeosis
26
Other (specify)
Sysmiss
Symptoms had - 3
Symptoms had - 3
Symptoms had - 3
Symptoms had - 3
Symptoms had - 3
Please describe the symptoms [NAME] had during his/her illness?
* List up to five symptoms.
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
1
5
1
Diarrhea (acute)
2
Diarrhea (chronic, 1 month or more)
3
Weight loss (major)
4
Fever (acute)
5
Fever (recurring)
6
Skin rash
7
Weakness
8
Severe headache
9
Fainting
10
Chills (feeling hot and cold)
11
Vomiting
12
Cough
13
Productive cough
14
Coughing blood
15
Pain on passing urine
16
Genital sores
17
Mental disorder
18
Abdominal pain
19
Sore throat
20
Difficulty breathing
21
Burn
22
Fracture
23
Wound
24
Child birth
25
Ameobeosis
26
Other (specify)
Sysmiss
Symptoms had - 4
Symptoms had - 4
Symptoms had - 4
Symptoms had - 4
Symptoms had - 4
Please describe the symptoms [NAME] had during his/her illness?
* List up to five symptoms.
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
6
1
Diarrhea (acute)
2
Diarrhea (chronic, 1 month or more)
3
Weight loss (major)
4
Fever (acute)
5
Fever (recurring)
6
Skin rash
7
Weakness
8
Severe headache
9
Fainting
10
Chills (feeling hot and cold)
11
Vomiting
12
Cough
13
Productive cough
14
Coughing blood
15
Pain on passing urine
16
Genital sores
17
Mental disorder
18
Abdominal pain
19
Sore throat
20
Difficulty breathing
21
Burn
22
Fracture
23
Wound
24
Child birth
25
Ameobeosis
26
Other (specify)
Sysmiss
Symptoms had - 5
Symptoms had - 5
Symptoms had - 5
Symptoms had - 5
Symptoms had - 5
Please describe the symptoms [NAME] had during his/her illness?
* List up to five symptoms.
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
6
1
Diarrhea (acute)
2
Diarrhea (chronic, 1 month or more)
3
Weight loss (major)
4
Fever (acute)
5
Fever (recurring)
6
Skin rash
7
Weakness
8
Severe headache
9
Fainting
10
Chills (feeling hot and cold)
11
Vomiting
12
Cough
13
Productive cough
14
Coughing blood
15
Pain on passing urine
16
Genital sores
17
Mental disorder
18
Abdominal pain
19
Sore throat
20
Difficulty breathing
21
Burn
22
Fracture
23
Wound
24
Child birth
25
Ameobeosis
26
Other (specify)
Sysmiss
Symptoms had - (Other)
Symptoms had - (Other)
Symptoms had - (Other)
Symptoms had - (Other)
Symptoms had - (Other)
Please describe the symptoms [NAME] had during his/her illness? Other (specify).
* List up to five symptoms.
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
Death occur in the past 12 months
Death occur in the past 12 months
Death occur in the past 12 months
Death occur in the past 12 months
Death occur in the past 12 months
Interviewer: Did [NAME's] death occur in the past 12 months?
See 17.
If answer is 2 > Go to 24 (mortb24 - variable name in dataset).
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
6
1
Yes
2
No
How much spend on illness
How much spend on illness
How much spend on illness
How much spend on illness
How much spend on illness
How much money did your household spend on [NAME’s] illness in the six months prior to death (including the cost of treatment, medicines, transport and other expenses connected with the illness/accident)?
* Probe for payments in cash or kind
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
5
1
18000
8000
7874.008
How much was spend by HH members for funeral
How much was spend by HH members for funeral
How much was spend by HH members for funeral
How much was spend by HH members for funeral
How much was spend by HH members for funeral
How much was spent by members of your household for [NAME’s] funeral?
* Include the cost of transportation of the body, food for visitors, coffin, burial, etc.
* Record total expenditures, including the value of expenditure in kind.
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
5
1
500
100000
30100
41292.251
Members sold any asset to fo funeral expenses
Members sold any asset to fo funeral expenses
Members sold any asset to fo funeral expenses
Members sold any asset to fo funeral expenses
Members sold any asset to fo funeral expenses
Did members of your household have to sell any assets (such as land, livestock, farm equipment, etc) in order to pay for the funeral expenses associated with [NAME’s] illness?
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
6
1
Yes
2
No
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
106
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
106
ID Code of Child
ID Code of Child
ID Code of Child
ID Code of Child
ID Code of Child
ID Code of [NAME] - i.e. the orphan child
All orphans in household - unless the parent of the orphan died less than 5 years ago and was a household memeber when he/she died.
106
Deceased was mother or father
Deceased was mother or father
Deceased was mother or father
Deceased was mother or father
Deceased was mother or father
Deceased parent was [NAME's] biological father or mother?
All orphans in household - unless the parent of the orphan died less than 5 years ago and was a household memeber when he/she died.
106
1
Father
2
Mother
9
What year did parent die
What year did parent die
What year did parent die
What year did parent die
What year did parent die
What YEAR did [NAME's] parent die?
All orphans in household - unless the parent of the orphan died less than 5 years ago and was a household memeber when he/she died.
106
Did child join hh immediately after death
Did child join hh immediately after death
Did child join hh immediately after death
Did child join hh immediately after death
Did child join hh immediately after death
Did [NAME] join this household immediately after the parent's death?
All orphans in household - unless the parent of the orphan died less than 5 years ago and was a household memeber when he/she died.
101
5
1
Yes
2
No
8
Sysmiss
How old was child at parent's death
How old was child at parent's death
How old was child at parent's death
How old was child at parent's death
How old was child at parent's death
How old was [NAME's] parent when he/she died?
All orphans in household - unless the parent of the orphan died less than 5 years ago and was a household memeber when he/she died.
101
5
99
47.564
28.174
Where was parent residing
Where was parent residing
Where was parent residing
Where was parent residing
Where was parent residing
Where was [NAME's] parent residing at the time of his/her death?
All orphans in household - unless the parent of the orphan died less than 5 years ago and was a household memeber when he/she died.
100
6
1
This village
2
This location
3
Kosirai Division
4
Nandi District (inc. Kapsabet)
5
Uasin-Gishu District (exc. Eldoret)
6
Eldoret
7
Kakamega
8
Kitale
9
Kisumu
10
Nakuru
11
Nairobi
12
Other urban area
13
Other rural area
14
Outside Kenya
33
41
98
99
Sysmiss
Did parent attend school
Did parent attend school
Did parent attend school
Did parent attend school
Did parent attend school
Did [NAME's] parent ever attend school?
If answer is 2 > Go to 9 (mortc9 - variable name in dataset).
All orphans in household - unless the parent of the orphan died less than 5 years ago and was a household memeber when he/she died.
103
3
1
Yes
2
No
8
9
Sysmiss
Highest grade parent completed- Level
Highest grade parent completed- Level
Highest grade parent completed- Level
Highest grade parent completed- Level
Highest grade parent completed- Level
What was the highest grade that [PARENT] completed? Level.
All orphans in household - unless the parent of the orphan died less than 5 years ago and was a household memeber when he/she died.
86
20
1
Nursery
2
Primary
3
Secondary
4
Post-sec.
9
Sysmiss
Highest grade parent completed- Number of years
Highest grade parent completed- Number of years
Highest grade parent completed- Number of years
Highest grade parent completed- Number of years
Highest grade parent completed- Number of years
What was the highest grade that [PARENT] completed? Number of years.
All orphans in household - unless the parent of the orphan died less than 5 years ago and was a household memeber when he/she died.
80
26
10
3.275
3.214
What kind of work
What kind of work
What kind of work
What kind of work
What kind of work
What kind of work did [NAME's] parent do for most of his/her life?
All orphans in household - unless the parent of the orphan died less than 5 years ago and was a household memeber when he/she died.
103
3
1
Crop farmer
2
Animal farmer
3
Housewife
4
Trader/merchant/salesperson
5
Transport worker
6
Construction worker
7
Teacher/education professional
8
Health professional/TBA/trad. Healer
9
Secretary/clerical
10
Factory worker
11
Restaurant/bar/hotel
12
Skilled trades (carpenter, tailor, etc.)
13
Preacher/pastor
14
Village elder
15
Domestic worker
16
Civil Servant/Government
17
Other (specify)
41
Operating Kiosk/Duka
42
Trading (buying & selling) vegetables
43
Trading chickens, eggs, etc.
44
Trading clothes (mtumba)
45
Trading milk
46
Making local brew / beer
47
Boda-boda operator
82
88
No activity/unemployed
98
99
Don’t Know
Sysmiss
What kind of work- other
What kind of work- other
What kind of work- other
What kind of work- other
What kind of work- other
What kind of work did [NAME's] parent do for most of his/her life? Other (specify).
All orphans in household - unless the parent of the orphan died less than 5 years ago and was a household memeber when he/she died.
6
Cause of Parent's death
Cause of Parent's death
Cause of Parent's death
Cause of Parent's death
Cause of Parent's death
What was the cause of [NAME's] parent's death?
If answer is 2, 4, 5 or 6 > Go to 13 (mortc13 - variable name in dataset).
If answer is 3 or 7 > Go to 12 (mortc12a - variable name in dataset).
All orphans in household - unless the parent of the orphan died less than 5 years ago and was a household memeber when he/she died.
103
3
1
Illness
2
Traffic accident
3
Childbirth or complications
4
Homicide
5
Suicide
6
Other accident or injury
7
Other (specify)
8
9
Sysmiss
Cause of parent's death- other
Cause of parent's death- other
Cause of parent's death- other
Cause of parent's death- other
Cause of parent's death- other
What was the cause of [NAME's] parent's death? Other (specify).
All orphans in household - unless the parent of the orphan died less than 5 years ago and was a household memeber when he/she died.
1
What illness does respondent think
What illness does respondent think
What illness does respondent think
What illness does respondent think
What illness does respondent think
What illness do you think [NAME's] parent was suffering from?
All orphans in household - unless the parent of the orphan died less than 5 years ago and was a household memeber when he/she died.
94
12
1
HIV/AIDS
2
Asthma
3
Bilharzia/ Shistosomiasis
4
Cancer
5
Diarrhea
6
Dysentry
7
Fracture/break
8
Gnorrhea
9
Intestinal Parisites
10
Malaria
11
Malnutrition (Kwashiorkor/Marasmus)
12
Measles
13
Meningitis
14
Poisoning
15
Polio
16
Syphilis
17
Tetanus
18
Tuberculosis
19
Typhoid
20
Urinary Infection
21
Witchcraft
22
Other STD (specify)
23
Other illness (specify)
24
Other injury (specify)
30
Common cold
31
Pneumonia
32
Diabetes
98
99
Don’t know
Sysmiss
What illness does respondent think- other
What illness does respondent think- other
What illness does respondent think- other
What illness does respondent think- other
What illness does respondent think- other
What illness do you think [NAME's] parent was suffering from? Other (specify).
All orphans in household - unless the parent of the orphan died less than 5 years ago and was a household memeber when he/she died.
6
Symptoms had - 1
Symptoms had - 1
Symptoms had - 1
Symptoms had - 1
Symptoms had - 1
Please describe the symptoms [NAME] had during his/her illness?
List up to five symptoms
All orphans in household - unless the parent of the orphan died less than 5 years ago and was a household memeber when he/she died.
83
23
1
Diarrhea (acute)
2
Diarrhea (chronic, 1 month or more)
3
Weight loss (major)
4
Fever (acute)
5
Fever (recurring)
6
Skin rash
7
Weakness
8
Severe headache
9
Fainting
10
Chills (feeling hot and cold)
11
Vomiting
12
Cough
13
Productive cough
14
Coughing blood
15
Pain on passing urine
16
Genital sores
17
Mental disorder
18
Abdominal pain
19
Sore throat
20
Difficulty breathing
21
Burn
22
Fracture
23
Wound
24
Child birth
25
Ameobeosis
26
Other (specify)
32
98
99
Sysmiss
Symptoms had - 2
Symptoms had - 2
Symptoms had - 2
Symptoms had - 2
Symptoms had - 2
Please describe the symptoms [NAME] had during his/her illness?
List up to five symptoms
All orphans in household - unless the parent of the orphan died less than 5 years ago and was a household memeber when he/she died.
71
35
1
Diarrhea (acute)
2
Diarrhea (chronic, 1 month or more)
3
Weight loss (major)
4
Fever (acute)
5
Fever (recurring)
6
Skin rash
7
Weakness
8
Severe headache
9
Fainting
10
Chills (feeling hot and cold)
11
Vomiting
12
Cough
13
Productive cough
14
Coughing blood
15
Pain on passing urine
16
Genital sores
17
Mental disorder
18
Abdominal pain
19
Sore throat
20
Difficulty breathing
21
Burn
22
Fracture
23
Wound
24
Child birth
25
Ameobeosis
26
Other (specify)
30
31
32
99
Sysmiss
Symptoms had - 3
Symptoms had - 3
Symptoms had - 3
Symptoms had - 3
Symptoms had - 3
Please describe the symptoms [NAME] had during his/her illness?
List up to five symptoms
All orphans in household - unless the parent of the orphan died less than 5 years ago and was a household memeber when he/she died.
53
53
1
Diarrhea (acute)
2
Diarrhea (chronic, 1 month or more)
3
Weight loss (major)
4
Fever (acute)
5
Fever (recurring)
6
Skin rash
7
Weakness
8
Severe headache
9
Fainting
10
Chills (feeling hot and cold)
11
Vomiting
12
Cough
13
Productive cough
14
Coughing blood
15
Pain on passing urine
16
Genital sores
17
Mental disorder
18
Abdominal pain
19
Sore throat
20
Difficulty breathing
21
Burn
22
Fracture
23
Wound
24
Child birth
25
Ameobeosis
26
Other (specify)
32
Sysmiss
Symptoms had - 4
Symptoms had - 4
Symptoms had - 4
Symptoms had - 4
Symptoms had - 4
Please describe the symptoms [NAME] had during his/her illness?
List up to five symptoms
All orphans in household - unless the parent of the orphan died less than 5 years ago and was a household memeber when he/she died.
31
75
1
Diarrhea (acute)
2
Diarrhea (chronic, 1 month or more)
3
Weight loss (major)
4
Fever (acute)
5
Fever (recurring)
6
Skin rash
7
Weakness
8
Severe headache
9
Fainting
10
Chills (feeling hot and cold)
11
Vomiting
12
Cough
13
Productive cough
14
Coughing blood
15
Pain on passing urine
16
Genital sores
17
Mental disorder
18
Abdominal pain
19
Sore throat
20
Difficulty breathing
21
Burn
22
Fracture
23
Wound
24
Child birth
25
Ameobeosis
26
Other (specify)
32
Sysmiss
Symptoms had - 5
Symptoms had - 5
Symptoms had - 5
Symptoms had - 5
Symptoms had - 5
Please describe the symptoms [NAME] had during his/her illness?
List up to five symptoms
All orphans in household - unless the parent of the orphan died less than 5 years ago and was a household memeber when he/she died.
8
98
1
Diarrhea (acute)
2
Diarrhea (chronic, 1 month or more)
3
Weight loss (major)
4
Fever (acute)
5
Fever (recurring)
6
Skin rash
7
Weakness
8
Severe headache
9
Fainting
10
Chills (feeling hot and cold)
11
Vomiting
12
Cough
13
Productive cough
14
Coughing blood
15
Pain on passing urine
16
Genital sores
17
Mental disorder
18
Abdominal pain
19
Sore throat
20
Difficulty breathing
21
Burn
22
Fracture
23
Wound
24
Child birth
25
Ameobeosis
26
Other (specify)
32
Sysmiss
Symptoms had - (Other)
Symptoms had - (Other)
Symptoms had - (Other)
Symptoms had - (Other)
Symptoms had - (Other)
Please describe the symptoms [NAME] had during his/her illness? Other (specify).
All orphans in household - unless the parent of the orphan died less than 5 years ago and was a household memeber when he/she died.
10
Does child have siblings outside hh
Does child have siblings outside hh
Does child have siblings outside hh
Does child have siblings outside hh
Does child have siblings outside hh
Does [NAME] have siblings living outside the household?
All orphans in household - unless the parent of the orphan died less than 5 years ago and was a household memeber when he/she died.
103
3
1
Yes
2
No
8
9
Sysmiss
Does child have a surviving parent
Does child have a surviving parent
Does child have a surviving parent
Does child have a surviving parent
Does child have a surviving parent
Does [NAME] have a surviving parent?
If answer is 2 > End.
All orphans in household - unless the parent of the orphan died less than 5 years ago and was a household memeber when he/she died.
103
3
1
Yes
2
No
8
9
Sysmiss
Where does surviving parent live
Where does surviving parent live
Where does surviving parent live
Where does surviving parent live
Where does surviving parent live
Where does [NAME's] surviving parent live?
All orphans in household - unless the parent of the orphan died less than 5 years ago and was a household memeber when he/she died.
66
40
1
This village
2
This location
3
Kosirai Division
4
Nandi District (inc. Kapsabet)
5
Uasin-Gishu District (exc. Eldoret)
6
Eldoret
7
Kakamega
8
Kitale
9
Kisumu
10
Nakuru
11
Nairobi
12
Other urban area
13
Other rural area
14
Outside Kenya
81
This household
98
99
Sysmiss
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
393
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
393
ID Code of Child
ID Code of Child
ID Code of Child
ID Code of Child
ID Code of Child
ID Code of [NAME] - i.e. the foster child
All foster children in household (children defined as individuals below 16 at time of round 1 interview).
393
Living parent is mother or father
Living parent is mother or father
Living parent is mother or father
Living parent is mother or father
Living parent is mother or father
Living parent is [NAME's] biological father or mother?
All foster children in household (children defined as individuals below 16 at time of round 1 interview).
393
1
Father
2
Mother
8
9
How old is parent now
How old is parent now
How old is parent now
How old is parent now
How old is parent now
How old is [NAME's] parent now?
All foster children in household (children defined as individuals below 16 at time of round 1 interview).
390
3
18
99
52.328
27.3
Where is parent residing
Where is parent residing
Where is parent residing
Where is parent residing
Where is parent residing
Where is [NAME's] parent residing now?
All foster children in household (children defined as individuals below 16 at time of round 1 interview).
390
3
1
This village
2
This location
3
Kosirai Division
4
Nandi District (inc. Kapsabet)
5
Uasin-Gishu District (exc. Eldoret)
6
Eldoret
7
Kakamega
8
Kitale
9
Kisumu
10
Nakuru
11
Nairobi
12
Other urban area
13
Other rural area
14
Outside Kenya
67
98
99
Sysmiss
Did parent attend school
Did parent attend school
Did parent attend school
Did parent attend school
Did parent attend school
Did [NAME's] parent ever attend school?
All foster children in household (children defined as individuals below 16 at time of round 1 interview).
392
1
1
Yes
2
No
3
8
9
Sysmiss
Highest grade parent completed- Level
Highest grade parent completed- Level
Highest grade parent completed- Level
Highest grade parent completed- Level
Highest grade parent completed- Level
What was the highest grade that [PARENT] completed? Level.
All foster children in household (children defined as individuals below 16 at time of round 1 interview).
351
42
1
Nursery
2
Primary
3
Secondary
4
Post-sec.
8
9
Sysmiss
Highest grade parent completed- Number of years
Highest grade parent completed- Number of years
Highest grade parent completed- Number of years
Highest grade parent completed- Number of years
Highest grade parent completed- Number of years
What was the highest grade that [PARENT] completed? Number of years.
All foster children in household (children defined as individuals below 16 at time of round 1 interview).
323
70
99
15.817
32.621
What kind of work
What kind of work
What kind of work
What kind of work
What kind of work
What kind of work did [NAME's] parent do for most of his/her life?
All foster children in household (children defined as individuals below 16 at time of round 1 interview).
391
2
1
Crop farmer
2
Animal farmer
3
Housewife
4
Trader/merchant/salesperson
5
Transport worker
6
Construction worker
7
Teacher/education professional
8
Health professional/TBA/trad. Healer
9
Secretary/clerical
10
Factory worker
11
Restaurant/bar/hotel
12
Skilled trades (carpenter, tailor, etc.)
13
Preacher/pastor
14
Village elder
15
Domestic worker
16
Civil Servant/Government
17
Other (specify)
41
Operating Kiosk/Duka
42
Trading (buying & selling) vegetables
43
Trading chickens, eggs, etc.
44
Trading clothes (mtumba)
45
Trading milk
46
Making local brew / beer
47
Boda-boda operator
81
82
88
No activity/unemployed
98
99
Don’t Know
Sysmiss
What kind of work- other
What kind of work- other
What kind of work- other
What kind of work- other
What kind of work- other
What kind of work did [NAME's] parent do for most of his/her life? Other (specify).
All foster children in household (children defined as individuals below 16 at time of round 1 interview).
6
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
972
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
972
Unexpected events module completed
Unexpected events module completed
Unexpected events module completed
Unexpected events module completed
Unexpected events module completed
972
1
Yes
2
No
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
972
Day of interview
Day of interview
Day of interview
Day of interview
Day of interview
Date of Interview. Day.
972
Month of interview
Month of interview
Month of interview
Month of interview
Month of interview
Date of Interview. Month.
972
Year of interview
Year of interview
Year of interview
Year of interview
Year of interview
Date of Interview. Year.
972
R2: Day of interview
R2: Day of interview
R2: Day of interview
R2: Day of interview
R2: Day of interview
Date of Round 2 interview. Day.
971
1
R2: Month of interview
R2: Month of interview
R2: Month of interview
R2: Month of interview
R2: Month of interview
Date of Round 2 interview. Month.
971
1
R2: Year of interview
R2: Year of interview
R2: Year of interview
R2: Year of interview
R2: Year of interview
Date of Round 2 interview. Year.
971
1
Engaged in farming
Engaged in farming
Engaged in farming
Engaged in farming
Engaged in farming
Since [Round 2] have you or members of your household engaged in farming on your own or rented land?
If answer is 2 > Go to section A2 (une22 - variable name in dataset).
972
1
Yes
2
No
Weather adversely affected the yield
Weather adversely affected the yield
Weather adversely affected the yield
Weather adversely affected the yield
Weather adversely affected the yield
Since [Round 2], has the weather adversely affected the crops on your farm?
If answer is 2 > Go to 6 (une06 - variable name in dataset).
897
75
1
Yes
2
No
9
Sysmiss
Count of weather events
Count of weather events
Count of weather events
Count of weather events
Count of weather events
334
638
1
3
1.09
0.297
_merge representing shocksa1
_merge representing shocksa1
_merge representing shocksa1
_merge representing shocksa1
_merge representing shocksa1
972
1
_merge representing shocksa2
_merge representing shocksa2
_merge representing shocksa2
_merge representing shocksa2
_merge representing shocksa2
972
1
Have a problem with crop due to fire etc.
Have a problem with crop due to fire etc.
Have a problem with crop due to fire etc.
Have a problem with crop due to fire etc.
Have a problem with crop due to fire etc.
Since [Round 2], have you (or any household member) had a problem with crops on your fields due to fire (not caused by lightening), pests, animals, plant disease, or theft?
If answer is 2 > Go to 10 (une10 - variable name in dataset).
897
75
1
Yes
2
No
8
9
Sysmiss
Count of events
Count of events
Count of events
Count of events
Count of events
80
892
1
2
1.063
0.244
_merge representing shocksa3
_merge representing shocksa3
_merge representing shocksa3
_merge representing shocksa3
_merge representing shocksa3
972
1
_merge representing shocksa4
_merge representing shocksa4
_merge representing shocksa4
_merge representing shocksa4
_merge representing shocksa4
972
1
Have problem with farm inputs
Have problem with farm inputs
Have problem with farm inputs
Have problem with farm inputs
Have problem with farm inputs
Since [Round 2], have you (or any household member) had a problem with farm inputs (e.g. fertilizer, herbicide, seeds) not working as expected on your shambas?
If answer is 2 > Go to 14 (une14 - variable name in dataset).
897
75
1
Yes
2
No
9
Sysmiss
Count of farm inputs
Count of farm inputs
Count of farm inputs
Count of farm inputs
Count of farm inputs
45
927
1
2
1.044
0.208
_merge representing shocksa5
_merge representing shocksa5
_merge representing shocksa5
_merge representing shocksa5
_merge representing shocksa5
972
1
_merge representing shocksa6
_merge representing shocksa6
_merge representing shocksa6
_merge representing shocksa6
_merge representing shocksa6
972
1
Have lost land due to dispute
Have lost land due to dispute
Have lost land due to dispute
Have lost land due to dispute
Have lost land due to dispute
Since [Round 2], have you lost any of the land you were cultivating to a dispute over who could cultivate the land?
If answer is 2 > Go to 18 (une18 - variable name in dataset).
897
75
1
Yes
2
No
8
9
Sysmiss
Count of lost land
Count of lost land
Count of lost land
Count of lost land
Count of lost land
15
957
1
1
1
_merge representing shocksa7
_merge representing shocksa7
_merge representing shocksa7
_merge representing shocksa7
_merge representing shocksa7
972
1
_merge representing shocksa8
_merge representing shocksa8
_merge representing shocksa8
_merge representing shocksa8
_merge representing shocksa8
972
1
Lost any stored crops to pests, etc.
Lost any stored crops to pests, etc.
Lost any stored crops to pests, etc.
Lost any stored crops to pests, etc.
Lost any stored crops to pests, etc.
Since [Round 2], have you (or any household member) lost any stored crops to pests, rodents, fire, theft, or water damage?
If answer is 2 > Go to 22 (une22 - variable name in dataset).
897
75
1
Yes
2
No
8
9
Sysmiss
Count of lost stored crop
Count of lost stored crop
Count of lost stored crop
Count of lost stored crop
Count of lost stored crop
43
929
1
2
1.07
0.258
_merge representing shocksa9
_merge representing shocksa9
_merge representing shocksa9
_merge representing shocksa9
_merge representing shocksa9
972
1
_merge representing shocksa10
_merge representing shocksa10
_merge representing shocksa10
_merge representing shocksa10
_merge representing shocksa10
972
1
Owned any livestock
Owned any livestock
Owned any livestock
Owned any livestock
Owned any livestock
At any time since [Round 2], have you (or your household members) owned any livestock?
If answer is 2 > Go to section B (une29 - variable name in dataset).
972
1
Yes
2
No
Lost any livestock
Lost any livestock
Lost any livestock
Lost any livestock
Lost any livestock
Since [Round 2], have any of these livestock died from a disease or accident?
If answer is 2 > Go to section B (une29 - variable name in dataset).
880
92
1
Yes
2
No
Sysmiss
Count of lost livestock
Count of lost livestock
Count of lost livestock
Count of lost livestock
Count of lost livestock
360
612
1
3
1.267
0.524
_merge representing shocksa21
_merge representing shocksa21
_merge representing shocksa21
_merge representing shocksa21
_merge representing shocksa21
972
1
_merge representing shocksa22
_merge representing shocksa22
_merge representing shocksa22
_merge representing shocksa22
_merge representing shocksa22
972
1
972
3
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
364
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
364
Line Number
Line Number
Line Number
Line Number
Line Number
364
Weather event ID code
Weather event ID code
Weather event ID code
Weather event ID code
Weather event ID code
When did these weather events happen and what is the estimated value of the damage to your crops?
Weather event ID Code
364
1
Drought/lack of water
2
Flood
3
Hail storm
4
Frost
5
Lightening
6
Rainstorm
7
Other (specify)
Weather event (other)
Weather event (other)
Weather event (other)
Weather event (other)
Weather event (other)
Weather event ID Code. Other (specify).
2
Month begun
Month begun
Month begun
Month begun
Month begun
Date when Event Began and Ended. Month Began.
* probe for exact month.
* the event could have begun last year, but make sure it has persisted after Round 2.
364
Year begun
Year begun
Year begun
Year begun
Year begun
Date when Event Began and Ended. Year Began.
* probe for exact month.
* the event could have begun last year, but make sure it has persisted after Round 2.
364
Month ended
Month ended
Month ended
Month ended
Month ended
Date when Event Began and Ended. Month Ended.
* probe for exact month.
* the event could have begun last year, but make sure it has persisted after Round 2.
364
Year ended
Year ended
Year ended
Year ended
Year ended
Date when Event Began and Ended. Year Ended.
* probe for exact month.
* the event could have begun last year, but make sure it has persisted after Round 2.
363
1
Value of crop damaged
Value of crop damaged
Value of crop damaged
Value of crop damaged
Value of crop damaged
Estimated Value of Crop Damage due to the Weather Event (KSh)
364
98
150000
9239.712
14691.261
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
85
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
85
Line number
Line number
Line number
Line number
Line number
When did these problems happen and what was the value of the damage to your crops?
Event ID Code
85
Event code
Event code
Event code
Event code
Event code
When did these problems happen and what was the value of the damage to your crops?
Event ID Code
85
1
Insects
2
Rodents
3
Animals eating crops
4
Theft
5
Fire
6
Other (specify)
Event code (other)
Event code (other)
Event code (other)
Event code (other)
Event code (other)
Event ID Code. Other (specify).
10
Date of event - Month
Date of event - Month
Date of event - Month
Date of event - Month
Date of event - Month
Date of Event. Month.
* probe for exact month.
85
Date of event - Year
Date of event - Year
Date of event - Year
Date of event - Year
Date of event - Year
Date of Event. Year.
* probe for exact month.
85
Value of crop damage
Value of crop damage
Value of crop damage
Value of crop damage
Value of crop damage
Estimated Value of Crop Damage due to the Event (KSh).
85
100
60000
4344.118
8146.346
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
47
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
47
Line number
Line number
Line number
Line number
Line number
When did this happen and what was the value of the damage to your crops?
Problem ID Code
47
Problem ID Code
Problem ID Code
Problem ID Code
Problem ID Code
Problem ID Code
When did this happen and what was the value of the damage to your crops?
Problem ID Code
47
1
Fertilizers
2
Herbicides
3
Other chemicals
4
Seeds
Date of event - Month
Date of event - Month
Date of event - Month
Date of event - Month
Date of event - Month
Date of Problem. Month.
* probe for exact month.
47
2
3
4
5
6
7
8
9
10
11
12
Date of event - Year
Date of event - Year
Date of event - Year
Date of event - Year
Date of event - Year
Date of Problem. Year.
* probe for exact month.
47
2005
2006
Value of damage
Value of damage
Value of damage
Value of damage
Value of damage
Estimated Value of Damage due to the Event (KSh).
47
250
84000
11496.17
17367.317
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
15
28680
32676
38069
44516
53392
62301
65568
67558
69801
70575
81727
84255
86271
89218
89249
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
15
1
2
3
Line Number
Line Number
Line Number
Line Number
Line Number
15
Sysmiss
Date of event - Month
Date of event - Month
Date of event - Month
Date of event - Month
Date of event - Month
When did this happen and what was the value of the loss?
Date of Event. Month.
15
1
2
3
4
Date of event - Year
Date of event - Year
Date of event - Year
Date of event - Year
Date of event - Year
When did this happen and what was the value of the loss?
Date of Event. Year.
15
2005
2006
Land Quantity
Land Quantity
Land Quantity
Land Quantity
Land Quantity
Land Quantity
15
1
30
9.867
7.17
Land Unit Code
Land Unit Code
Land Unit Code
Land Unit Code
Land Unit Code
Land Unit Code
15
1
Acres
2
Hectares
3
Sq. feet
4
Sq. meters
Value of land
Value of land
Value of land
Value of land
Value of land
Value of the land that was lost [Amount in KSh].
15
200
300000
41580
84068.146
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
46
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
46
Unit
Unit
Unit
Unit
Unit
46
Sysmiss
Reason for loss
Reason for loss
Reason for loss
Reason for loss
Reason for loss
Reason for loss
46
1
Pests
2
Rodents
3
Fire
4
Theft
5
Water damage
6
Other (specify)
Reason for loss (other)
Reason for loss (other)
Reason for loss (other)
Reason for loss (other)
Reason for loss (other)
Reason for loss. Other (specify).
1
Date of event - Month
Date of event - Month
Date of event - Month
Date of event - Month
Date of event - Month
Date of Event. Month.
* probe for exact month.
46
Date of event - Year
Date of event - Year
Date of event - Year
Date of event - Year
Date of event - Year
Date of Event. Year.
* probe for exact month.
46
Value of loss
Value of loss
Value of loss
Value of loss
Value of loss
Value of loss (KSh)
46
50
10500
1753.913
2240.05
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
456
103
99516
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
456
1
7
Line Number
Line Number
Line Number
Line Number
Line Number
456
Date of livestock loss - Month
Date of livestock loss - Month
Date of livestock loss - Month
Date of livestock loss - Month
Date of livestock loss - Month
Date of Livestock loss. Month.
* probe for exact month.
456
Date of livestock loss - Year
Date of livestock loss - Year
Date of livestock loss - Year
Date of livestock loss - Year
Date of livestock loss - Year
Date of Livestock loss. Year.
* probe for exact month.
456
Value of loss
Value of loss
Value of loss
Value of loss
Value of loss
Value of loss (KSh)
456
3
80000
10683.428
12853.667
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
972
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
972
Unexpected events module completed
Unexpected events module completed
Unexpected events module completed
Unexpected events module completed
Unexpected events module completed
972
1
Yes
2
No
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
972
Day of interview
Day of interview
Day of interview
Day of interview
Day of interview
Date of Interview. Day.
972
Month of interview
Month of interview
Month of interview
Month of interview
Month of interview
Date of Interview. Month.
972
Year of interview
Year of interview
Year of interview
Year of interview
Year of interview
Date of Interview. Year.
972
R2: Day of interview
R2: Day of interview
R2: Day of interview
R2: Day of interview
R2: Day of interview
Date of Round 2 interview. Day.
971
1
R2: Month of interview
R2: Month of interview
R2: Month of interview
R2: Month of interview
R2: Month of interview
Date of Round 2 interview. Month.
971
1
R2: Year of interview
R2: Year of interview
R2: Year of interview
R2: Year of interview
R2: Year of interview
Date of Round 2 interview. Year.
971
1
Anything been stolen from house
Anything been stolen from house
Anything been stolen from house
Anything been stolen from house
Anything been stolen from house
Since [Round 2], has anything been stolen from your house/compound (except stored crops or livestock)?
If answer is 2 > Go to 32 (une32 - variable name in dataset).
972
1
Yes
2
No
Count of stolen things
Count of stolen things
Count of stolen things
Count of stolen things
Count of stolen things
110
862
3
1.118
0.423
_merge representing shocksb1
_merge representing shocksb1
_merge representing shocksb1
_merge representing shocksb1
_merge representing shocksb1
972
1
_merge representing shocksb2
_merge representing shocksb2
_merge representing shocksb2
_merge representing shocksb2
_merge representing shocksb2
972
1
Have your house been danaged by weather
Have your house been danaged by weather
Have your house been danaged by weather
Have your house been danaged by weather
Have your house been danaged by weather
Since [Round 2], have your houses or buildings been damaged by weather (including flood) or fire?
If answer is 2 > Go to 39 (une39 - variable name in dataset).
972
1
Yes
2
No
Count of item damaged
Count of item damaged
Count of item damaged
Count of item damaged
Count of item damaged
7
965
1
1
1
_merge representing shocksb3
_merge representing shocksb3
_merge representing shocksb3
_merge representing shocksb3
_merge representing shocksb3
972
1
_merge representing shocksb4
_merge representing shocksb4
_merge representing shocksb4
_merge representing shocksb4
_merge representing shocksb4
972
1
Source of drinking water unusable
Source of drinking water unusable
Source of drinking water unusable
Source of drinking water unusable
Source of drinking water unusable
Since [Round 2], has there been a period(s) of time where the source where you usually get drinking water was unusable?
If answer is 2 > Go to section C (une43 - variable name in dataset).
972
1
Yes
2
No
Count of source of drinking water
Count of source of drinking water
Count of source of drinking water
Count of source of drinking water
Count of source of drinking water
155
817
1
2
1.032
0.177
_merge representing shocksb5
_merge representing shocksb5
_merge representing shocksb5
_merge representing shocksb5
_merge representing shocksb5
972
1
_merge representing shocksb6
_merge representing shocksb6
_merge representing shocksb6
_merge representing shocksb6
_merge representing shocksb6
972
1
972
3
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
123
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
123
Unit
Unit
Unit
Unit
Unit
123
Sysmiss
Month of theft
Month of theft
Month of theft
Month of theft
Month of theft
Date of theft. Month.
* probe for exact month
123
Year of theft
Year of theft
Year of theft
Year of theft
Year of theft
Date of theft. Year.
* probe for exact month
123
Value of stolen item
Value of stolen item
Value of stolen item
Value of stolen item
Value of stolen item
Value of stolen items
123
50
58000
2549.187
8093.356
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
7
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
7
Unit
Unit
Unit
Unit
Unit
7
Sysmiss
Date of weather event - Month
Date of weather event - Month
Date of weather event - Month
Date of weather event - Month
Date of weather event - Month
Date of Weather Event. Month.
* probe for exact month.
7
Date of weather event - Year
Date of weather event - Year
Date of weather event - Year
Date of weather event - Year
Date of weather event - Year
Date of Weather Event. Year.
* probe for exact month.
7
Value of damage
Value of damage
Value of damage
Value of damage
Value of damage
Value of damaged items (KSh)
7
98
4000
1606.857
1351.43
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
160
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
160
Unit
Unit
Unit
Unit
Unit
160
Sysmiss
Start date of water problem - Month
Start date of water problem - Month
Start date of water problem - Month
Start date of water problem - Month
Start date of water problem - Month
Start date of water problems. Month.
* probe for exact month.
160
Start date of water problem - Year
Start date of water problem - Year
Start date of water problem - Year
Start date of water problem - Year
Start date of water problem - Year
Start date of water problems. Year.
* probe for exact month.
160
Duration of water problem
Duration of water problem
Duration of water problem
Duration of water problem
Duration of water problem
Duration (in Days) of water problem.
160
1
606
43.156
55.222
Reason water source was unusable
Reason water source was unusable
Reason water source was unusable
Reason water source was unusable
Reason water source was unusable
Reason water source was unusable.
160
1
Contaminated by animal
2
Contaminated by soil
3
Flooded
4
Dried up/drought
5
Other (specify)
8
Reason water source was unusable (Other)
Reason water source was unusable (Other)
Reason water source was unusable (Other)
Reason water source was unusable (Other)
Reason water source was unusable (Other)
Reason water source was unusable. Other (specify).
6
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
972
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
972
Unexpected events module completed
Unexpected events module completed
Unexpected events module completed
Unexpected events module completed
Unexpected events module completed
972
1
Yes
2
No
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
972
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
972
Day of interview
Day of interview
Day of interview
Day of interview
Day of interview
Date of Interview. Day.
972
Month of interview
Month of interview
Month of interview
Month of interview
Month of interview
Date of Interview. Month.
972
Year of interview
Year of interview
Year of interview
Year of interview
Year of interview
Date of Interview. Year.
972
R2: Day of interview
R2: Day of interview
R2: Day of interview
R2: Day of interview
R2: Day of interview
Date of Round 2 interview. Day.
971
1
R2: Month of interview
R2: Month of interview
R2: Month of interview
R2: Month of interview
R2: Month of interview
Date of Round 2 interview. Month.
971
1
R2: Year of interview
R2: Year of interview
R2: Year of interview
R2: Year of interview
R2: Year of interview
Date of Round 2 interview. Year.
971
1
Had job which paid a wage
Had job which paid a wage
Had job which paid a wage
Had job which paid a wage
Had job which paid a wage
Since [Round 2], have you (or any household member) held any job which paid a wage?
If answer is 2 > Go to 51 (une51 - variable name in dataset).
972
1
Yes
2
No
Had a problem of non-payment for work
Had a problem of non-payment for work
Had a problem of non-payment for work
Had a problem of non-payment for work
Had a problem of non-payment for work
Since [Round 2], has any household member had a problem of non-payment or delay of payment for work that he/she did?
If answer is 2 > Go to 48 (une48 - variable name in dataset).
578
394
1
Yes
2
No
8
Sysmiss
Count of non payment
Count of non payment
Count of non payment
Count of non payment
Count of non payment
42
930
1
3
1.167
0.437
_merge representing shocksc
_merge representing shocksc
_merge representing shocksc
_merge representing shocksc
_merge representing shocksc
972
1
_merge representing shocksc1
_merge representing shocksc1
_merge representing shocksc1
_merge representing shocksc1
_merge representing shocksc1
972
1
Lost any jobs
Lost any jobs
Lost any jobs
Lost any jobs
Lost any jobs
Since [Round 2], have you or anyone in your household lost any jobs?
If answer is 2 > Go to 51 (une51 - variable name in dataset).
576
396
1
Yes
2
No
8
Sysmiss
Count of job loss
Count of job loss
Count of job loss
Count of job loss
Count of job loss
30
942
1
1
1
_merge representing shocksc2
_merge representing shocksc2
_merge representing shocksc2
_merge representing shocksc2
_merge representing shocksc2
972
1
_merge representing shocksc3
_merge representing shocksc3
_merge representing shocksc3
_merge representing shocksc3
_merge representing shocksc3
972
1
Managed/owned own business
Managed/owned own business
Managed/owned own business
Managed/owned own business
Managed/owned own business
Since [Round 2], have you (or any household members) managed/owned a business?
If answer is 2 > End.
972
1
Yes
2
No
Have had unexpected losses in business
Have had unexpected losses in business
Have had unexpected losses in business
Have had unexpected losses in business
Have had unexpected losses in business
Since [Round 2], have there been any unexpected losses in this business due to things such as theft, fire, employee fraud, debtor default, etc?
If answer is 2 > End.
436
536
1
Yes
2
No
9
Sysmiss
Count of losses in business
Count of losses in business
Count of losses in business
Count of losses in business
Count of losses in business
150
822
1
3
1.1
0.362
_merge representing shocksc4
_merge representing shocksc4
_merge representing shocksc4
_merge representing shocksc4
_merge representing shocksc4
972
1
_merge representing shocksc5
_merge representing shocksc5
_merge representing shocksc5
_merge representing shocksc5
_merge representing shocksc5
972
1
972
3
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
49
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
49
Count
Count
Count
Count
Count
49
Sysmiss
Month supposed to be paid
Month supposed to be paid
Month supposed to be paid
Month supposed to be paid
Month supposed to be paid
Date person was supposed to be paid. Month.
49
Year supposed to be paid
Year supposed to be paid
Year supposed to be paid
Year supposed to be paid
Year supposed to be paid
Date person was supposed to be paid. Year.
49
Amount were supposed to be
Amount were supposed to be
Amount were supposed to be
Amount were supposed to be
Amount were supposed to be
Amount person was supposed to be paid (KSh).
49
99
30000
3532.102
4671.247
Month actually paid
Month actually paid
Month actually paid
Month actually paid
Month actually paid
Date actually paid. Month
48
1
98
Not paid
Year actually paid
Year actually paid
Year actually paid
Year actually paid
Year actually paid
Date actually paid. Year.
47
2
98
Not paid
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
30
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
30
Count
Count
Count
Count
Count
30
Month lost a job
Month lost a job
Month lost a job
Month lost a job
Month lost a job
Date Job was Lost. Month.
30
Year lost a job
Year lost a job
Year lost a job
Year lost a job
Year lost a job
Date Job was Lost. Year.
30
Monthly salary of the job
Monthly salary of the job
Monthly salary of the job
Monthly salary of the job
Monthly salary of the job
Monthly salary of the job (KSh).
30
98
15000
4809.933
4029.058
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
165
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
165
Count
Count
Count
Count
Count
165
Sysmiss
Month of unexpected loss
Month of unexpected loss
Month of unexpected loss
Month of unexpected loss
Month of unexpected loss
Date of Unexpected Loss. Month.
* probe for exact month.
165
Year of unexpected loss
Year of unexpected loss
Year of unexpected loss
Year of unexpected loss
Year of unexpected loss
Date of Unexpected Loss. Year.
165
Amount of loss
Amount of loss
Amount of loss
Amount of loss
Amount of loss
Amount of Loss (KSh).
164
1
50
60000
3533.671
7732.838
Why have the loss
Why have the loss
Why have the loss
Why have the loss
Why have the loss
Why did you have the loss?
165
1
Default/non-payment
2
Theft
3
Fire
4
Unexpected price fall
5
Spoilage
6
Other (specify)
8
Why have the loss (Other)
Why have the loss (Other)
Why have the loss (Other)
Why have the loss (Other)
Why have the loss (Other)
Why did you have the loss? Other (specify).
21
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
4439
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
4439
Time Alloc Module Done
Time Alloc Module Done
Time Alloc Module Done
Time Alloc Module Done
Time Alloc Module Done
4439
1
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
4439
Day of interview
Day of interview
Day of interview
Day of interview
Day of interview
Date of Interview. Day.
4439
Month of interview
Month of interview
Month of interview
Month of interview
Month of interview
Date of Interview. Month.
4439
Year of interview
Year of interview
Year of interview
Year of interview
Year of interview
Date of Interview. Year.
4439
Count of HH Members Listed
Count of HH Members Listed
Count of HH Members Listed
Count of HH Members Listed
Count of HH Members Listed
4439
Line Number
Line Number
Line Number
Line Number
Line Number
All household members 8 years and older.
4439
ID Code
ID Code
ID Code
ID Code
ID Code
ID Code
(List the ID codes of all household members 8 years and older.)
All household members 8 years and older.
4439
Hours spent preparing meals, etc.
Hours spent preparing meals, etc.
Hours spent preparing meals, etc.
Hours spent preparing meals, etc.
Hours spent preparing meals, etc.
In the past 7 days (since last ____) how many hours has [NAME] spent preparing meals, cleaning the house, doing the laundry or shopping for food?
All household members 8 years and older.
4439
99
10.34
16.111
Hours spent collecting firewood
Hours spent collecting firewood
Hours spent collecting firewood
Hours spent collecting firewood
Hours spent collecting firewood
In the past 7 days how many hours has [NAME] spent collecting firewood for your household?
All household members 8 years and older.
4439
99
3.195
13.534
Hours spent collecting water
Hours spent collecting water
Hours spent collecting water
Hours spent collecting water
Hours spent collecting water
In the past 7 days how many hours has [NAME] spent collecting water?
All household members 8 years and older.
4439
99
4.819
13.749
Days of work restricted due to illness
Days of work restricted due to illness
Days of work restricted due to illness
Days of work restricted due to illness
Days of work restricted due to illness
In the past 7 days, for how many days were [NAME's] work activities (either at home or at a job) restricted because of illness?
All household members 8 years and older.
4439
99
3.103
16.802
Days of work missed due to illness
Days of work missed due to illness
Days of work missed due to illness
Days of work missed due to illness
Days of work missed due to illness
In the past 7 days, for how many days was [NAME] too sick to perform any work?
All household members 8 years and older.
4439
99
3.201
17.226
Hours spent seeking medical care
Hours spent seeking medical care
Hours spent seeking medical care
Hours spent seeking medical care
Hours spent seeking medical care
In the past 7 days, how many hours did [NAME] spend seeking medical care (either for himself/herself or a family member) or caring for sick household members (either at home or in the hospital)?
For example, travelling to a health establishment, waiting, being treated, buying medicine, feeding the patient, etc.
All household members 8 years and older.
4438
1
99
4.605
19.583
Spent any time helping others without pay
Spent any time helping others without pay
Spent any time helping others without pay
Spent any time helping others without pay
Spent any time helping others without pay
In the past 7 days has [NAME] spent any time helping others not in the household with work on their shambas or businesses without payment?
If answer is 2 > Go to next person.
All household members 8 years and older.
4436
3
1
Yes
2
No
3
8
9
Sysmiss
Hours spent helping others
Hours spent helping others
Hours spent helping others
Hours spent helping others
Hours spent helping others
In the past 7 days, how many hours did [NAME] spend in helping these people?
All household members 8 years and older.
175
4264
1
46
6.937
6.393
Other people helped (IRID) - 1
Other people helped (IRID) - 1
Other people helped (IRID) - 1
Other people helped (IRID) - 1
Other people helped (IRID) - 1
Who were these people? IRID Code.
[List IRID Codes and hours for two most important people]
All household members 8 years and older.
175
4264
Other people helped (hours) 1
Other people helped (hours) 1
Other people helped (hours) 1
Other people helped (hours) 1
Other people helped (hours) 1
Who were these people? Hours.
[List IRID Codes and hours for two most important people]
All household members 8 years and older.
156
4283
1
35
7.474
5.677
Other people helped (IRID) - 2
Other people helped (IRID) - 2
Other people helped (IRID) - 2
Other people helped (IRID) - 2
Other people helped (IRID) - 2
Who were these people? IRID Code.
[List IRID Codes and hours for two most important people]
All household members 8 years and older.
12
4427
Other people helped (hours) 2
Other people helped (hours) 2
Other people helped (hours) 2
Other people helped (hours) 2
Other people helped (hours) 2
Who were these people? Hours.
[List IRID Codes and hours for two most important people]
All household members 8 years and older.
12
4427
1
16
3.75
5.048
4439
3
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
1382
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
1382
Time & Risk module
Time & Risk module
Time & Risk module
Time & Risk module
Time & Risk module
1382
1
Yes
2
No
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
1379
3
Day of interview
Day of interview
Day of interview
Day of interview
Day of interview
Date of Interview. Day.
1379
3
Month of interview
Month of interview
Month of interview
Month of interview
Month of interview
Date of Interview. Month.
1379
3
Year of interview
Year of interview
Year of interview
Year of interview
Year of interview
Date of Interview. Year.
1379
3
1A. Ever bought lottery ticket
1A. Ever bought lottery ticket
1A. Ever bought lottery ticket
1A. Ever bought lottery ticket
1A. Ever bought lottery ticket
The following three questions concern the purchase of lottery or raffle tickets.
Have you ever bought lottery or raffle tickets?
If answer is 2 > Go to 2 (trp2 - variable name in dataset).
1379
3
1
Yes
2
No
Sysmiss
1B. How often buy raffle ticket
1B. How often buy raffle ticket
1B. How often buy raffle ticket
1B. How often buy raffle ticket
1B. How often buy raffle ticket
How often do you buy lottery or raffle tickets?
254
1128
1
once every week
2
once every two weeks
3
once every month
4
once every two months or more
5
once every year
6
less than once a year
8
Sysmiss
1C. How much spend on lottery in past 6 months
1C. How much spend on lottery in past 6 months
1C. How much spend on lottery in past 6 months
1C. How much spend on lottery in past 6 months
1C. How much spend on lottery in past 6 months
How much money did you spend on lottery tickets in the past six months?
255
1127
900
43.424
92.485
2. Been offered a prize of one meal
2. Been offered a prize of one meal
2. Been offered a prize of one meal
2. Been offered a prize of one meal
2. Been offered a prize of one meal
You have been offered a prize of one meal at a nyama choma hotel, but you must use this prize within two months. When would you request this prize?
1379
3
1
Request the prize this week
2
Wait for a while before requesting the prize
Sysmiss
3A. Type of cow
3A. Type of cow
3A. Type of cow
3A. Type of cow
3A. Type of cow
Suppose you are going to be given (or purchase) a cow and you have a choice between two different types of cows each of which has a different milk production profile. The type 1 cow will certainly produce 10 litres of milk everyday. But for each of the type 2 cows, we are not certain exactly how much milk will be produced. For each of the following choices between the type 1 and type 2 cow, which type of cow do you prefer?
Type 1: 10L guaranteed
Type 2: 50:50 chance at 5L:40L
If answer is 1 > Go to 4 (trp4a - variable name in dataset).
1379
3
1
Type 1
2
Type 2
Sysmiss
3B. Type of cow
3B. Type of cow
3B. Type of cow
3B. Type of cow
3B. Type of cow
Suppose you are going to be given (or purchase) a cow and you have a choice between two different types of cows each of which has a different milk production profile. The type 1 cow will certainly produce 10 litres of milk everyday. But for each of the type 2 cows, we are not certain exactly how much milk will be produced. For each of the following choices between the type 1 and type 2 cow, which type of cow do you prefer?
Type 1: 10L guaranteed
Type 2: 50:50 chance at 5L:10L
If answer is 2 > Go to 4 (trp4a - variable name in dataset).
76
1306
1
Type 1
2
Type 2
8
Sysmiss
3C. Type of cow
3C. Type of cow
3C. Type of cow
3C. Type of cow
3C. Type of cow
Suppose you are going to be given (or purchase) a cow and you have a choice between two different types of cows each of which has a different milk production profile. The type 1 cow will certainly produce 10 litres of milk everyday. But for each of the type 2 cows, we are not certain exactly how much milk will be produced. For each of the following choices between the type 1 and type 2 cow, which type of cow do you prefer?
Type 1: 10L guaranteed
Type 2: 50:50 chance at 5L:30L
If answer is 1 > Go to 4 (trp4a - variable name in dataset).
31
1351
1
Type 1
2
Type 2
8
Sysmiss
3D. Type of cow
3D. Type of cow
3D. Type of cow
3D. Type of cow
3D. Type of cow
Suppose you are going to be given (or purchase) a cow and you have a choice between two different types of cows each of which has a different milk production profile. The type 1 cow will certainly produce 10 litres of milk everyday. But for each of the type 2 cows, we are not certain exactly how much milk will be produced. For each of the following choices between the type 1 and type 2 cow, which type of cow do you prefer?
Type 1: 10L guaranteed
Type 2: 50:50 chance at 5L:15L
If answer is 2 > Go to 4 (trp4a - variable name in dataset).
24
1358
1
Type 1
2
Type 2
8
Sysmiss
3E. Type of cow
3E. Type of cow
3E. Type of cow
3E. Type of cow
3E. Type of cow
Suppose you are going to be given (or purchase) a cow and you have a choice between two different types of cows each of which has a different milk production profile. The type 1 cow will certainly produce 10 litres of milk everyday. But for each of the type 2 cows, we are not certain exactly how much milk will be produced. For each of the following choices between the type 1 and type 2 cow, which type of cow do you prefer?
Type 1: 10L guaranteed
Type 2: 50:50 chance at 5L:25L
If answer is 1 > Go to 4 (trp4a - variable name in dataset).
8
1374
1
Type 1
2
Type 2
8
Sysmiss
3F. Type of cow
3F. Type of cow
3F. Type of cow
3F. Type of cow
3F. Type of cow
Suppose you are going to be given (or purchase) a cow and you have a choice between two different types of cows each of which has a different milk production profile. The type 1 cow will certainly produce 10 litres of milk everyday. But for each of the type 2 cows, we are not certain exactly how much milk will be produced. For each of the following choices between the type 1 and type 2 cow, which type of cow do you prefer?
Type 1: 10L guaranteed
Type 2: 50:50 chance at 5L:20L
7
1375
1
Type 1
2
Type 2
8
Sysmiss
3G. Respondent understand the question
3G. Respondent understand the question
3G. Respondent understand the question
3G. Respondent understand the question
3G. Respondent understand the question
INTERVIEWER: Did respondent understand the question?
1379
3
1
Yes
2
No
Sysmiss
4A. Amount option
4A. Amount option
4A. Amount option
4A. Amount option
4A. Amount option
Suppose you have the option of receiving either 500 KShs now or a certain amount of money one year from now. Ask respondent if he/she prefers option 1or 2 for each of the following choices.
Option 1: 500 KShs now
Option 2: 1000 KShs one year from now
If answer is 1 > Go to 5 (trp5a - variable name in dataset).
1379
3
1
Option 1
2
Option 2
Sysmiss
4B. Amount option
4B. Amount option
4B. Amount option
4B. Amount option
4B. Amount option
Suppose you have the option of receiving either 500 KShs now or a certain amount of money one year from now. Ask respondent if he/she prefers option 1or 2 for each of the following choices.
Option 1: 500 KShs now
Option 2: 500 KShs one year from now
If answer is 2 > Go to 5 (trp5a - variable name in dataset).
35
1347
1
Option 1
2
Option 2
Sysmiss
4C. Amount option
4C. Amount option
4C. Amount option
4C. Amount option
4C. Amount option
Suppose you have the option of receiving either 500 KShs now or a certain amount of money one year from now. Ask respondent if he/she prefers option 1or 2 for each of the following choices.
Option 1: 500 KShs now
Option 2: 900 KShs one year from now
If answer is 1 > Go to 5 (trp5a - variable name in dataset).
25
1357
1
Option 1
2
Option 2
Sysmiss
4D. Amount option
4D. Amount option
4D. Amount option
4D. Amount option
4D. Amount option
Suppose you have the option of receiving either 500 KShs now or a certain amount of money one year from now. Ask respondent if he/she prefers option 1or 2 for each of the following choices.
Option 1: 500 KShs now
Option 2: 600 KShs one year from now
If answer is 2 > Go to 5 (trp5a - variable name in dataset).
11
1371
1
Option 1
2
Option 2
Sysmiss
4E. Amount option
4E. Amount option
4E. Amount option
4E. Amount option
4E. Amount option
Suppose you have the option of receiving either 500 KShs now or a certain amount of money one year from now. Ask respondent if he/she prefers option 1or 2 for each of the following choices.
Option 1: 500 KShs now
Option 2: 800 KShs one year from now
If answer is 1 > Go to 5 (trp5a - variable name in dataset).
6
1376
1
Option 1
2
Option 2
Sysmiss
4F. Amount option
4F. Amount option
4F. Amount option
4F. Amount option
4F. Amount option
Suppose you have the option of receiving either 500 KShs now or a certain amount of money one year from now. Ask respondent if he/she prefers option 1or 2 for each of the following choices.
Option 1: 500 KShs now
Option 2: 700 KShs one year from now
2
1380
1
Option 1
2
Option 2
Sysmiss
4G. Respondent understand the question
4G. Respondent understand the question
4G. Respondent understand the question
4G. Respondent understand the question
4G. Respondent understand the question
INTERVIEWER: Did respondent understand the question?
1379
3
1
Yes
2
No
8
Sysmiss
5A. Sometime not dependable
5A. Sometime not dependable
5A. Sometime not dependable
5A. Sometime not dependable
5A. Sometime not dependable
Indicate on a six-point scale the extent of agreement or disagreement with the following statements.
Sometimes I am not as dependable or reliable in fulfilling important duties.
1379
3
1
Disagree
2
Disagree somewhat
3
Agree somewhat
4
Agree
Sysmiss
5B. Often have difficult organizing in advance
5B. Often have difficult organizing in advance
5B. Often have difficult organizing in advance
5B. Often have difficult organizing in advance
5B. Often have difficult organizing in advance
Indicate on a six-point scale the extent of agreement or disagreement with the following statements.
I often have difficulty organizing in advance for upcoming expenses like school fees and fertilizers.
1379
3
1
Disagree
2
Disagree somewhat
3
Agree somewhat
4
Agree
Sysmiss
5C. Often feel that speek too quickly
5C. Often feel that speek too quickly
5C. Often feel that speek too quickly
5C. Often feel that speek too quickly
5C. Often feel that speek too quickly
Indicate on a six-point scale the extent of agreement or disagreement with the following statements.
I often feel that I speak or act too quickly, without thinking about the consequences.
1379
3
1
Disagree
2
Disagree somewhat
3
Agree somewhat
4
Agree
8
Sysmiss
6A. Amount opinion
6A. Amount opinion
6A. Amount opinion
6A. Amount opinion
6A. Amount opinion
Suppose you have the option of receiving either 500 KShs now or a certain amount of money one month from now. Ask respondent if he/she prefers option 1or 2 for each of the following choices.
Option 1: 500 KShs now
Option 2: 1000 KShs one month from now
If answer is 1 > Go to 7 (trp7a - variable name in dataset).
1379
3
1
Option 1
2
Option 2
Sysmiss
6B. Amount opinion
6B. Amount opinion
6B. Amount opinion
6B. Amount opinion
6B. Amount opinion
Suppose you have the option of receiving either 500 KShs now or a certain amount of money one month from now. Ask respondent if he/she prefers option 1or 2 for each of the following choices.
Option 1: 500 KShs now
Option 2: 500 KShs one month from now
If answer is 2 > Go to 7 (trp7a - variable name in dataset).
115
1267
1
Option 1
2
Option 2
Sysmiss
6C. Amount opinion
6C. Amount opinion
6C. Amount opinion
6C. Amount opinion
6C. Amount opinion
Suppose you have the option of receiving either 500 KShs now or a certain amount of money one month from now. Ask respondent if he/she prefers option 1or 2 for each of the following choices.
Option 1: 500 KShs now
Option 2: 900 KShs one month from now
If answer is 1 > Go to 7 (trp7a - variable name in dataset).
100
1282
1
Option 1
2
Option 2
Sysmiss
6D. Amount opinion
6D. Amount opinion
6D. Amount opinion
6D. Amount opinion
6D. Amount opinion
Suppose you have the option of receiving either 500 KShs now or a certain amount of money one month from now. Ask respondent if he/she prefers option 1or 2 for each of the following choices.
Option 1: 500 KShs now
Option 2: 600 KShs one month from now
If answer is 2 > Go to 7 (trp7a - variable name in dataset).
73
1309
1
Option 1
2
Option 2
Sysmiss
6E. Amount opinion
6E. Amount opinion
6E. Amount opinion
6E. Amount opinion
6E. Amount opinion
Suppose you have the option of receiving either 500 KShs now or a certain amount of money one month from now. Ask respondent if he/she prefers option 1or 2 for each of the following choices.
Option 1: 500 KShs now
Option 2: 800 KShs one month from now
If answer is 1 > Go to 7 (trp7a - variable name in dataset).
46
1336
1
Option 1
2
Option 2
Sysmiss
6F. Amount opinion
6F. Amount opinion
6F. Amount opinion
6F. Amount opinion
6F. Amount opinion
Suppose you have the option of receiving either 500 KShs now or a certain amount of money one month from now. Ask respondent if he/she prefers option 1or 2 for each of the following choices.
Option 1: 500 KShs now
Option 2: 700 KShs one month from now
37
1345
1
Option 1
2
Option 2
Sysmiss
6G. Respondent understand the question
6G. Respondent understand the question
6G. Respondent understand the question
6G. Respondent understand the question
6G. Respondent understand the question
INTERVIEWER: Did respondent understand the question?
1379
3
1
Yes
2
No
8
Sysmiss
7A. Choose between 1 & 2
7A. Choose between 1 & 2
7A. Choose between 1 & 2
7A. Choose between 1 & 2
7A. Choose between 1 & 2
Men: You have the option of choosing between four different plots of land. The plots of land are of the same size and you can grow maize on all the plots. The plots are different in that the annual maize output from using the same amount of inputs will be more variable on some than on others.
Women: You have the option of choosing between four different chicken. The chickens are of the same size. The chickens are different in that the weekly production of eggs will be more variable for some than for others.
The following are the four plots of land / chickens --
If you had to choose between 1 and 2, which one would you choose?
WRITE THESE FOR THE RESPONDENT:
Chicken 1 / Plot 1 - 50:50 chance 40:120 bags/eggs
Chicken 2 / Plot 2 - 50:50 chance 35:125 bags/eggs
Chicken 3 / Plot 3 - 50:50 chance 30:150 bags/eggs
Chicken 4 / Plot 4 - 50:50 chance 20:160 bags/eggs
1378
4
1
2
8
Sysmiss
7B. Choose between 3 & 4
7B. Choose between 3 & 4
7B. Choose between 3 & 4
7B. Choose between 3 & 4
7B. Choose between 3 & 4
Men: You have the option of choosing between four different plots of land. The plots of land are of the same size and you can grow maize on all the plots. The plots are different in that the annual maize output from using the same amount of inputs will be more variable on some than on others.
Women: You have the option of choosing between four different chicken. The chickens are of the same size. The chickens are different in that the weekly production of eggs will be more variable for some than for others.
The following are the four plots of land / chickens --
If you had to choose between 3 and 4, which one would you choose?
WRITE THESE FOR THE RESPONDENT:
Chicken 1 / Plot 1 - 50:50 chance 40:120 bags/eggs
Chicken 2 / Plot 2 - 50:50 chance 35:125 bags/eggs
Chicken 3 / Plot 3 - 50:50 chance 30:150 bags/eggs
Chicken 4 / Plot 4 - 50:50 chance 20:160 bags/eggs
1378
4
2
3
4
Sysmiss
7C. Choose one of the 4
7C. Choose one of the 4
7C. Choose one of the 4
7C. Choose one of the 4
7C. Choose one of the 4
Men: You have the option of choosing between four different plots of land. The plots of land are of the same size and you can grow maize on all the plots. The plots are different in that the annual maize output from using the same amount of inputs will be more variable on some than on others.
Women: You have the option of choosing between four different chicken. The chickens are of the same size. The chickens are different in that the weekly production of eggs will be more variable for some than for others.
The following are the four plots of land / chickens --
If you had to choose one of the four listed above, which one would you choose?
WRITE THESE FOR THE RESPONDENT:
Chicken 1 / Plot 1 - 50:50 chance 40:120 bags/eggs
Chicken 2 / Plot 2 - 50:50 chance 35:125 bags/eggs
Chicken 3 / Plot 3 - 50:50 chance 30:150 bags/eggs
Chicken 4 / Plot 4 - 50:50 chance 20:160 bags/eggs
1378
4
1
2
3
4
Sysmiss
7D. Respondent understand the question
7D. Respondent understand the question
7D. Respondent understand the question
7D. Respondent understand the question
7D. Respondent understand the question
INTERVIEWER: Did respondent understand the question?
1379
3
1
Yes
2
No
8
Sysmiss
8A. Vouchers would like to use in year 1
8A. Vouchers would like to use in year 1
8A. Vouchers would like to use in year 1
8A. Vouchers would like to use in year 1
8A. Vouchers would like to use in year 1
Start by explaining that the next set of questions are meant to learn something about your impatience, and temptation to consume some luxury item. Let us consider the case of vouchers to be used at a nice duka. Suppose that you win 10 vouchers that have a value of 500 KShs each. You can buy anything you want with the vouchers. The vouchers are available for immediate use starting today, and there is an absolute guarantee that they will be available whenever you request them within a two-year window. Once you request a voucher, you must use it within one day. You must request all the vouchers within a two-year period. The questions below concern how many of the vouchers you would ideally like to use in each year, how tempted you would be to depart from this ideal, and what you expect you would actually do in practice.
From your current perspective, how many of the vouchers would you ideally like to use in year 1?
1379
3
1
10
5.851
1.952
8B. What would be tempted to do
8B. What would be tempted to do
8B. What would be tempted to do
8B. What would be tempted to do
8B. What would be tempted to do
Start by explaining that the next set of questions are meant to learn something about your impatience, and temptation to consume some luxury item. Let us consider the case of vouchers to be used at a nice duka. Suppose that you win 10 vouchers that have a value of 500 KShs each. You can buy anything you want with the vouchers. The vouchers are available for immediate use starting today, and there is an absolute guarantee that they will be available whenever you request them within a two-year window. Once you request a voucher, you must use it within one day. You must request all the vouchers within a two-year period. The questions below concern how many of the vouchers you would ideally like to use in each year, how tempted you would be to depart from this ideal, and what you expect you would actually do in practice.
What would you be tempted to do? Which of the following best describes you?
If answer is 3 > End.
1378
4
1
I would be strongly tempted to keep more vouchers for the second year than ideal
2
I would be somewhat tempted to keep more vouchers for the second year than ideal
3
I would have no temptation in either direction
4
I would be somewhat tempted to use more vouchers in the first year than ideal
5
I would be strongly tempted to use more vouchers in the first year than ideal
Sysmiss
8C. Vouchers would end up using in year 1
8C. Vouchers would end up using in year 1
8C. Vouchers would end up using in year 1
8C. Vouchers would end up using in year 1
8C. Vouchers would end up using in year 1
Start by explaining that the next set of questions are meant to learn something about your impatience, and temptation to consume some luxury item. Let us consider the case of vouchers to be used at a nice duka. Suppose that you win 10 vouchers that have a value of 500 KShs each. You can buy anything you want with the vouchers. The vouchers are available for immediate use starting today, and there is an absolute guarantee that they will be available whenever you request them within a two-year window. Once you request a voucher, you must use it within one day. You must request all the vouchers within a two-year period. The questions below concern how many of the vouchers you would ideally like to use in each year, how tempted you would be to depart from this ideal, and what you expect you would actually do in practice.
After having thought about your temptation and how you would actually behave, how many of the vouchers would you end up using in year 1?
401
981
2
98
7.157
4.857
1382
1
3
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
1383
103
99975
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
1383
1
8
Transfers & Credits
Transfers & Credits
Transfers & Credits
Transfers & Credits
Transfers & Credits
1383
1
Yes
2
No
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
1383
1
2
3
4
5
6
7
8
Day of interview
Day of interview
Day of interview
Day of interview
Day of interview
Date of Interview. Day.
1383
Month of interview
Month of interview
Month of interview
Month of interview
Month of interview
Date of Interview. Month.
1383
Year of interview
Year of interview
Year of interview
Year of interview
Year of interview
Date of Interview. Year.
1383
R2: Day of interview
R2: Day of interview
R2: Day of interview
R2: Day of interview
R2: Day of interview
Date of Round 2 interview. Day.
1380
3
R2: Month of interview
R2: Month of interview
R2: Month of interview
R2: Month of interview
R2: Month of interview
Date of Round 2 interview. Month.
1380
3
R2: Year of interview
R2: Year of interview
R2: Year of interview
R2: Year of interview
R2: Year of interview
Date of Round 2 interview. Year.
1380
3
Received money or goods
Received money or goods
Received money or goods
Received money or goods
Received money or goods
Since [round 2], have you received money or goods from persons who are not members of your household? For example, have you received any transfers or loans from children, parents, relatives or friends living elsewhere?
* If no, probe for gifts, money received for funerals, child support, weddings, money to help sick persons–since [round 2].
Exclude transfers/loans for medical care, school expenses, and land gifts.
If answer is 2 > Go to 9 (tr09 - variable name in dataset).
1383
1
Yes
2
No
Number of people received money from
Number of people received money from
Number of people received money from
Number of people received money from
Number of people received money from
960
423
7
2.28
1.437
Have received any transfers from any organization
Have received any transfers from any organization
Have received any transfers from any organization
Have received any transfers from any organization
Have received any transfers from any organization
Since [round 2], have you received any transfer from any organization or the government?
* Probe for food transfers from organizations, etc.
If answer is 2 > Go to 14 (tr14 - variable name in dataset).
1383
1
Yes
2
No
Count of organization
Count of organization
Count of organization
Count of organization
Count of organization
286
1097
1
3
1.224
0.45
Responsible for repaying any other loans
Responsible for repaying any other loans
Responsible for repaying any other loans
Responsible for repaying any other loans
Responsible for repaying any other loans
Are you responsible for repaying any other loans including personal, family, or business loans (that we have not discussed above)?
(Include all loans from before the round 2 interview)
If answer is 2 > Go to section B (trb01 - variable name in dataset).
1383
1
Yes
2
No
8
Total amount you owe for repayment
Total amount you owe for repayment
Total amount you owe for repayment
Total amount you owe for repayment
Total amount you owe for repayment
What is the total amount that you owe for repayment of these outstanding debts?
238
1145
10
200000
12737.992
32255.1
Any part of debt incurred to pay for medical care
Any part of debt incurred to pay for medical care
Any part of debt incurred to pay for medical care
Any part of debt incurred to pay for medical care
Any part of debt incurred to pay for medical care
Was any part of this debt incurred to pay for medical care?
If answer is 2 > Go to section B (trb01 - variable name in dataset).
238
1145
1
Yes
2
No
8
Sysmiss
How much was incurred for medical care
How much was incurred for medical care
How much was incurred for medical care
How much was incurred for medical care
How much was incurred for medical care
How much debt was incurred for medical care?
48
1335
98
35000
3097.458
5636.375
When debt was incurred - Month
When debt was incurred - Month
When debt was incurred - Month
When debt was incurred - Month
When debt was incurred - Month
When was this debt incurred? Month.
Record month and year when most of the debt was incurred.
48
1335
2
99
12.396
22.676
2
3
4
5
6
7
8
9
10
11
12
98
99
Sysmiss
When debt was incurred - Year
When debt was incurred - Year
When debt was incurred - Year
When debt was incurred - Year
When debt was incurred - Year
When was this debt incurred? Year.
Record month and year when most of the debt was incurred.
48
1335
1998
9998
2171.625
1153.676
1998
2001
2003
2004
2005
2006
9998
Sysmiss
Provided any money or goods
Provided any money or goods
Provided any money or goods
Provided any money or goods
Provided any money or goods
Since [round 2], have you provided any money or goods to persons who are not members of your household? For example, to children, parents, friends or relatives living elsewhere?
*If no, probe for gifts, money given for funerals, child support, weddings, money to help sick persons-since [round 2].
Exclude transfers/loans for school expenses and land gifts..
If answer is 2 > Go to 9 (trb09 - variable name in dataset).
1383
1
Yes
2
No
Count of different people did you send money, gifts
Count of different people did you send money, gifts
Count of different people did you send money, gifts
Count of different people did you send money, gifts
Count of different people did you send money, gifts
802
581
1
7
1.63
1.021
Any group anyone owe you money
Any group anyone owe you money
Any group anyone owe you money
Any group anyone owe you money
Any group anyone owe you money
Does anyone or any group owe you money or goods that you expect to be repaid (that we have not discussed above)?
Include all loans from before the round 2 interview.
If answer is 2 > Go to section C (trc01 - variable name in dataset).
1382
1
1
Yes
2
No
8
Sysmiss
Total amount owed to you
Total amount owed to you
Total amount owed to you
Total amount owed to you
Total amount owed to you
What is the total amount owed to you from these other individuals or groups? Amount in KSh.
190
1193
30
200000
12207.842
33230.258
Was any part of this loan made to pay for medical care
Was any part of this loan made to pay for medical care
Was any part of this loan made to pay for medical care
Was any part of this loan made to pay for medical care
Was any part of this loan made to pay for medical care
Was any part of this loan made to pay for medical care?
If answer is 2 > Go to section C (trc01 - variable name in dataset).
190
1193
1
Yes
2
No
Sysmiss
How much lent to pay for medical care
How much lent to pay for medical care
How much lent to pay for medical care
How much lent to pay for medical care
How much lent to pay for medical care
How much was lent to pay for medical care? Amount in KSh.
6
1377
4000
1526.667
1950.863
When the loan was made - Month
When the loan was made - Month
When the loan was made - Month
When the loan was made - Month
When the loan was made - Month
When was this loan made? Month.
Record month and year when most of the loan was made.
6
1377
1
3
6
8
10
Sysmiss
When the loan was made - Year
When the loan was made - Year
When the loan was made - Year
When the loan was made - Year
When the loan was made - Year
When was this loan made? Year.
Record month and year when most of the loan was made.
6
1377
2002
2004
2005
2006
Sysmiss
Participate in any informal savings organization
Participate in any informal savings organization
Participate in any informal savings organization
Participate in any informal savings organization
Participate in any informal savings organization
Do you participate in any informal savings organizations with friends or neighbors, for example merry-go-rounds?
If answer is 2 > End section.
1383
1
Yes
2
No
How much contribute to the fund (Amount)
How much contribute to the fund (Amount)
How much contribute to the fund (Amount)
How much contribute to the fund (Amount)
How much contribute to the fund (Amount)
How much do you contribute to this fund and how often? Amount.
If more than one group, ask about the most important.
260
1123
30
6000
443.712
551.332
How much contribute to the fund (Frequency)
How much contribute to the fund (Frequency)
How much contribute to the fund (Frequency)
How much contribute to the fund (Frequency)
How much contribute to the fund (Frequency)
How much do you contribute to this fund and how often? Frequency code.
If more than one group, ask about the most important.
260
1123
1
3
2.004
0.948
1
once a week
2
every two weeks
3
once a month
4
every three months
5
every six months
6
once a year
7
less than once a year
How much contributed since round 2
How much contributed since round 2
How much contributed since round 2
How much contributed since round 2
How much contributed since round 2
How much did you contribute to this group since [round 2]?
[List the total amount]
257
1126
170000
7356.654
14921.05
When did you contribute most recent amount- Amount
When did you contribute most recent amount- Amount
When did you contribute most recent amount- Amount
When did you contribute most recent amount- Amount
When did you contribute most recent amount- Amount
When did you contribute the most recent amount? Amount.
[list the most recent contribution and the month/year when it was contributed]
259
1124
30
6000
462.259
563.448
When did you contribute most recent amount- Month
When did you contribute most recent amount- Month
When did you contribute most recent amount- Month
When did you contribute most recent amount- Month
When did you contribute most recent amount- Month
When did you contribute the most recent amount? Month.
[list the most recent contribution and the month/year when it was contributed]
259
1124
1
2
3
4
5
6
7
8
9
10
Sysmiss
When did you contribute most recent amount- Year
When did you contribute most recent amount- Year
When did you contribute most recent amount- Year
When did you contribute most recent amount- Year
When did you contribute most recent amount- Year
When did you contribute the most recent amount? Year.
[list the most recent contribution and the month/year when it was contributed]
259
1124
2004
2005
2006
Sysmiss
Members draw on regular basis
Members draw on regular basis
Members draw on regular basis
Members draw on regular basis
Members draw on regular basis
Do members draw from this fund on a regular basis or only when there is an urgent need?
If answer is 2 > Go to 7 (trc07 - variable name in dataset).
260
1123
1
Regularly
2
Urgent need
3
Both
Sysmiss
How often members receive money
How often members receive money
How often members receive money
How often members receive money
How often members receive money
How often does each member receive money from this fund?
258
1125
1
once a week
2
every two weeks
3
once a month
4
every three months
5
every six months
6
once a year
7
less than once a year
8
9
Sysmiss
How much received since round 2
How much received since round 2
How much received since round 2
How much received since round 2
How much received since round 2
How much did you receive from this group since [round 2]?
[List the total Amount]
259
1124
120000
6066.707
10492.584
When received amount (Amount 1)
When received amount (Amount 1)
When received amount (Amount 1)
When received amount (Amount 1)
When received amount (Amount 1)
When did you receive this amount? Amount 1.
[list the 2 largest amounts, and the month/year when you received]
231
1152
120000
3248.355
8558.641
When received amount (Month 1)
When received amount (Month 1)
When received amount (Month 1)
When received amount (Month 1)
When received amount (Month 1)
When did you receive this amount? Month 1.
[list the 2 largest amounts, and the month/year when you received]
204
1179
1
2
3
4
5
6
7
8
9
10
11
12
99
Don't Know
Sysmiss
When received amount (Year 1)
When received amount (Year 1)
When received amount (Year 1)
When received amount (Year 1)
When received amount (Year 1)
When did you receive this amount? Year 1.
[list the 2 largest amounts, and the month/year when you received]
204
1179
98
Missing
99
Don't Know
2005
2006
Sysmiss
When received amount (Amount 2)
When received amount (Amount 2)
When received amount (Amount 2)
When received amount (Amount 2)
When received amount (Amount 2)
When did you receive this amount? Amount 2.
[list the 2 largest amounts, and the month/year when you received]
190
1193
14400
1622.474
2437.212
When received amount (Month 2)
When received amount (Month 2)
When received amount (Month 2)
When received amount (Month 2)
When received amount (Month 2)
When did you receive this amount? Month 2.
[list the 2 largest amounts, and the month/year when you received]
121
1262
1
2
3
4
5
6
7
8
9
10
11
12
99
Don't Know
Sysmiss
When received amount (Year 2)
When received amount (Year 2)
When received amount (Year 2)
When received amount (Year 2)
When received amount (Year 2)
When did you receive this amount? Year 2.
[list the 2 largest amounts, and the month/year when you received]
121
1262
99
Don't Know
2005
2006
Sysmiss
When member has family problem will organ help by changing o
When member has family problem will organ help by changing o
When member has family problem will organ help by changing o
When member has family problem will organ help by changing o
When member has family problem will organ help by changing o
When a member of the organization has a family problem, will the organization help by changing the order of payment?
259
1124
1
Yes
2
No
9
Sysmiss
Will the organization help by changing the amount of paymen
Will the organization help by changing the amount of paymen
Will the organization help by changing the amount of paymen
Will the organization help by changing the amount of paymen
Will the organization help by changing the amount of paymen
When a member of the organization has a family problem, will the organization help by changing the amount of payment to the member in need?
258
1125
1
Yes
2
No
9
Sysmiss
Will organization help by collecting additional funds from o
Will organization help by collecting additional funds from o
Will organization help by collecting additional funds from o
Will organization help by collecting additional funds from o
Will organization help by collecting additional funds from o
When a member of the organization has a family problem, will the organization help by collecting additional funds from other members?
257
1126
1
Yes
2
No
Sysmiss
How many other informal savings organization participate in
How many other informal savings organization participate in
How many other informal savings organization participate in
How many other informal savings organization participate in
How many other informal savings organization participate in
How many other informal savings organizations do you participate in?
If answer is 0 > End section.
260
1123
2
0.185
0.494
How much contributed to all since round 2
How much contributed to all since round 2
How much contributed to all since round 2
How much contributed to all since round 2
How much contributed to all since round 2
How much did you contribute to all of these other organizations since [round 2]? Amount in KSh.
34
1349
98
45800
3976.706
8003.839
How much received from all organizations since round 2
How much received from all organizations since round 2
How much received from all organizations since round 2
How much received from all organizations since round 2
How much received from all organizations since round 2
How much did you receive from all these other organizations since [round 2]? Amount in KSh.
34
1349
44800
3687.882
7985.559
Given any money to spouse since round 2
Given any money to spouse since round 2
Given any money to spouse since round 2
Given any money to spouse since round 2
Given any money to spouse since round 2
Since [round 2] have you given any money or goods to your spouse, on a regular or irregular basis?
If answer is 2 > Go to 14 (trd14 - variable name in dataset).
1383
1
Yes
2
No
8
Regular transfers given count
Regular transfers given count
Regular transfers given count
Regular transfers given count
Regular transfers given count
665
718
1
2
Sysmiss
Given more money to .. since round 2
Given more money to .. since round 2
Given more money to .. since round 2
Given more money to .. since round 2
Given more money to .. since round 2
Apart from the money you give regularly, have you given any more money to [ID] since [round 2]?
If answer is 2 > Go to 14 (trd14 - variable name in dataset).
672
711
1
Yes
2
No
Sysmiss
Count of spouse
Count of spouse
Count of spouse
Count of spouse
Count of spouse
548
835
1
6
2.135
1.123
Received any money from spouse since round 2
Received any money from spouse since round 2
Received any money from spouse since round 2
Received any money from spouse since round 2
Received any money from spouse since round 2
Since [round 2] have you received any money or goods from your spouse, on a regular or irregular basis?
If answer is 2 > End.
1383
1
Yes
2
No
8
Given count
Given count
Given count
Given count
Given count
873
510
2
0.707
0.478
Recieved more money to .. since round 2
Recieved more money to .. since round 2
Recieved more money to .. since round 2
Recieved more money to .. since round 2
Recieved more money to .. since round 2
Apart from the money you receive regularly, have you received any more money from [ID] since [round 2]?
If answer is 2 > End.
879
504
1
Yes
2
No
8
Sysmiss
Count of spouse
Count of spouse
Count of spouse
Count of spouse
Count of spouse
731
652
6
1.286
1.319
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
2187
103
99962
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
2187
1
8
Line number
Line number
Line number
Line number
Line number
2187
1
2
3
4
5
6
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
2187
1
2
3
4
5
6
7
8
Line number
Line number
Line number
Line number
Line number
Now I'd like to ask you about all transfers and loans you have received since [round 2]. Please tell me about each one separately.
NOTE: if the same person gave several times, list EACH transfer from that person separately.
2187
Sysmiss
Individual roster ID
Individual roster ID
Individual roster ID
Individual roster ID
Individual roster ID
Individual Roster ID
Copy IRID of from IRoster or add to IRoster if he/she is not yet listed.
2187
How much received from person
How much received from person
How much received from person
How much received from person
How much received from person
How much did you receive from this person (include money and the value of gifts in kind)?
2187
17
600000
2181.319
14405.718
Month received the amount
Month received the amount
Month received the amount
Month received the amount
Month received the amount
When did you receive this amount? Month.
Year should be 2005 or 2006.
2187
Year received the amount
Year received the amount
Year received the amount
Year received the amount
Year received the amount
When did you receive this amount? Year.
Year should be 2004.
2187
Main reason received money
Main reason received money
Main reason received money
Main reason received money
Main reason received money
What was the main reason for receiving this money or goods?
2187
1
Wedding expenses
2
Loan repayment
3
Transportation
4
Subsistence needs
5
Purchase of durable goods
6
Investment
7
Funeral
8
Gift
9
No specific reason
10
Other (specify)
Main reason received money (Other)
Main reason received money (Other)
Main reason received money (Other)
Main reason received money (Other)
Main reason received money (Other)
What was the main reason for receiving this money or goods? Other (specify).
180
2 BLANKETS
AGRICULTURE
ANTIBIOTICS
BUY CEMENT
BUY CLOTHES 4NEWBORN
BUY INPUTS&RENT LAND
BUY MAIZE SEEDS
BUY WINDOW PANES
CAN
CHRISTMAS EXPENSES
CHURCH CONTRIBUTION
CLOTHING
CONSTRUCTION
DAUGHTER'S PARTY
DEWORMING
DURING PLANTING
DURING PLANTING TIME
FARMING
FENCING WIRE
FERTILIZER
FERTILIZERS
FOR BUYING CLOTHES
FOR PLANTING
FOR PLANTING SEASON
FOR PLOUGHING
FOR TEETH REMOVAL
GRAZING LAND IN U/G
HAIRDRESSING
HARVESTING MAIZE
HOUSEHOLD ITEMS
LAND LEASE
LAND LEASE FEE
LAND LEASE FEE(2007)
LEASE FEE
LEASING LAW
LIVESTOCK ANTIBIOS
LIVESTOCK MEDICATION
MEDICAL CARE
MEDICAL EXPENSES
MEDICATION
MONEY FOR FENCING
PAY RENT
PAY SCHOOL FEES
PLANTING
PLANTING EXPENSES
PLANTING SEASON
PLANTING SEASONS
PLANTING SEEDS
PLOUGHING EXPENSES
PLOUGHING LAND
POCKET MONEY
PRE-WEDDING
PROCESS THE LOAN
PURCHASE FARM INPUTS
PURCHASE LIVESTOCK
PURCHASE THINGS
RENT OUT LAND
RENTED
RENTED 2 ACRES
RENTED LAND
RENTED OUT LAND
RENTING OUT LAND
SCHOOL EXPENSES
SCHOOL FEES
SEED AND FERTILIZER
SEEDS
SHELL MAIZE
TO BUY CLOTHES
TO BUY FARM INPUTS
TO BUY FERTILIZER
TO BUY MAIZE SEEDS
TO BUY SEEDS
TO PLOUGH THE FARM
TO REPAIR CAR
TO REPAIR HOUSE
TREAT CATTLE
TREE SEEDLINGS
UPKEEP OF ID 10
VEHICLE REPAIR
X-MASS GIFT
X-MASS ITEMS
XMAS EXPENSES
Have to repay any part of the amount
Have to repay any part of the amount
Have to repay any part of the amount
Have to repay any part of the amount
Have to repay any part of the amount
Do you have to repay any part of this amount?
If answer is 2 > Go to next transfer.
2187
1
Yes
2
No
8
How much has been repaid
How much has been repaid
How much has been repaid
How much has been repaid
How much has been repaid
How much has been already repaid? Amount (KSh).
402
1785
65000
2444.254
6118.663
How much expect to repay in future
How much expect to repay in future
How much expect to repay in future
How much expect to repay in future
How much expect to repay in future
How much do you expect to repay in the future? Amount (KSh).
402
1785
100000
1455.03
6124.092
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
350
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
350
Line number
Line number
Line number
Line number
Line number
350
1
2
3
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
350
1
2
3
4
5
7
8
Count
Count
Count
Count
Count
350
Name of organization
Name of organization
Name of organization
Name of organization
Name of organization
What is the name of the organization?
* Exclude Merry-go-rounds
350
1
Government
2
Clan
3
Other (specify)
4
Microfinance group (K-Rep, etc)
5
Church
6
HHI/ AMPATH/Health Clinic Farm
7
8
Name of organisation (other)
Name of organisation (other)
Name of organisation (other)
Name of organisation (other)
Name of organisation (other)
What is the name of the organization? Other (specify).
84
A.CMTY N.ZEALND
A.F.C
AFC
AFC LOAN
AFYA SACCO
AGRIC COPRATION
AMACO INSURANCE
APS
BANK LOAN
BARATON UNIVERS
CDF
CDF BURSARY
CHEBUT COMPANY
CHEBUT FACTORY
CO-OPERATIVE
COMMERCIAL BANK
DIGUNA
FAMILY FINANCE
FPI
FRIENDS
FUNDRAISING
FUNERAL ARRANGE
FUNERAL C'MTEE
FUNERAL COMMITT
HARAMBEE
HARAMBEE COMTEE
HARAMBEE SACCO
HELD HARAMBEE
K REP
KCB
KENYA WOMEN GRP
KTDA
LOCAL AUTHORITY
MAGEREZA SACCO
MOI UNI. SACCO
MWALIMU CO-OP
NANDI T SACCO
NANDI TEA SACCO
NATIONAL BANK
NGO
NSSF
SACCO
SALANIC PRINTER
SCHOOL BURSARY
SCHOOL EMPLOYER
SIRET TEA CMPNY
STIMA SACCO
TEA COMPANY
TEA ESTATE NAND
TEA FARMERS COP
TEACHER SACCO
TEACHERS' SACCO
TELPOSTA SACCO
THROUGH CDF
TSC
U.E.A BARATON
WIDOWS&SINGLES
WOMEN GROUP
YANA GROUP
How frequently received transfers
How frequently received transfers
How frequently received transfers
How frequently received transfers
How frequently received transfers
How frequently did you receive these transfers since [round 2]?
350
1
once a week
2
every two weeks
3
once a month
4
every three months
5
every six months
6
once a year
7
less than once a year
8
more than once a week
In what form received
In what form received
In what form received
In what form received
In what form received
335
15
1
2
3
8
Sysmiss
Amount received each time
Amount received each time
Amount received each time
Amount received each time
Amount received each time
What amount did you receive each time, on average?
350
50
500000
23592.58
58102.818
Date of most recent transfer- month
Date of most recent transfer- month
Date of most recent transfer- month
Date of most recent transfer- month
Date of most recent transfer- month
Date of Most Recent Transfer. Month.
350
Date of most recent transfer- year
Date of most recent transfer- year
Date of most recent transfer- year
Date of most recent transfer- year
Date of most recent transfer- year
Date of Most Recent Transfer. Year.
350
Household ID
Household ID
Household ID
Household ID
Household ID
Household ID
1306
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
1306
Line number
Line number
Line number
Line number
Line number
1306
1
2
3
4
5
6
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
1306
1
2
3
4
5
6
7
8
Line number
Line number
Line number
Line number
Line number
Now I'd like to ask you about all transfers and loans you have made since [round 2]. Please tell me about each one separately.
NOTE: if the same person received several times, list EACH transfer to that person separately.
1306
Individual roster ID
Individual roster ID
Individual roster ID
Individual roster ID
Individual roster ID
Individual Roster ID
* copy IRID of [NAME] from IRoster or add [NAME] to IRoster if he/she is not yet listed.
1306
1
34
How much sent to person
How much sent to person
How much sent to person
How much sent to person
How much sent to person
How much did you send to this person (include money and the value of gifts in kind)?
1306
20
158000
2238.965
8980.004
When send money - Month
When send money - Month
When send money - Month
When send money - Month
When send money - Month
When did you send this amount? Month.
Year should be 2004-06
1306
When ssnd money - Year
When ssnd money - Year
When ssnd money - Year
When ssnd money - Year
When ssnd money - Year
When did you send this amount? Year.
Year should be 2004-06
1306
Main reason send this money/goods
Main reason send this money/goods
Main reason send this money/goods
Main reason send this money/goods
Main reason send this money/goods
What was the main reason for sending this money or goods?
1306
1
99
5.1
5.273
1
Wedding expenses
2
Loan repayment
3
Transportation
4
Subsistence needs
5
Purchase of durable goods
6
Investment
7
Funeral
8
Gift
9
No specific reason
10
Other (specify)
11
School Expenses
12
Medical Care
98
99
Main reason send this money/goods (Other)
Main reason send this money/goods (Other)
Main reason send this money/goods (Other)
Main reason send this money/goods (Other)
Main reason send this money/goods (Other)
What was the main reason for sending this money or goods? Other (specify).
49
Expect that any part of the money will be repaid
Expect that any part of the money will be repaid
Expect that any part of the money will be repaid
Expect that any part of the money will be repaid
Expect that any part of the money will be repaid
Do you expect that any part of this amount will be repaid to you?
If answer is 2 > Go to next transfer.
1306
1
Yes
2
No
8
How much has alread been repaid
How much has alread been repaid
How much has alread been repaid
How much has alread been repaid
How much has alread been repaid
How much has been already repaid?
277
1029
40000
1315.884
3645.369
How much expect to be repaid in the future
How much expect to be repaid in the future
How much expect to be repaid in the future
How much expect to be repaid in the future
How much expect to be repaid in the future
How much do you expect to be repaid in the future?
277
1029
158000
3656.209
12542.588
Household ID
Household ID
Household ID
Household ID
Household ID
680
103
99975
50013.865
29436.475
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
680
1
2
3
6
7
Line number
Line number
Line number
Line number
Line number
680
1
2
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
680
ID code of spouse
ID code of spouse
ID code of spouse
ID code of spouse
ID code of spouse
680
Sysmiss
ID code of spouse
ID code of spouse
ID code of spouse
ID code of spouse
ID code of spouse
ID code of spouse
680
1
2
3
4
5
6
7
8
9
12
Give money or goods regularly
Give money or goods regularly
Give money or goods regularly
Give money or goods regularly
Give money or goods regularly
Do you give [ID] money or goods regularly?
If answer is 2 > Go to 7 (trd07 - variable name in dataset).
680
1
Yes
2
No
How much give - Amount
How much give - Amount
How much give - Amount
How much give - Amount
How much give - Amount
How much do you give [ID] regularly? Amount.
414
266
20
10000
1091.606
1301.409
How much give - Frequency
How much give - Frequency
How much give - Frequency
How much give - Frequency
How much give - Frequency
How much do you give [ID] regularly? Frequency code.
414
266
1
once a week
2
every two weeks
3
once a month
4
every three months
5
every six months
6
once a year
7
less than once a year
8
Sysmiss
First reason for giving money
First reason for giving money
First reason for giving money
First reason for giving money
First reason for giving money
What were the main reasons for giving this money to [ID]?
List up to 3 reasons.
414
266
1
medical care
2
funeral expenses
3
school expenses
4
wedding expenses
5
transportation
6
household maintenance
7
subsistence needs
8
purchase of a durable good
9
investment
10
other (specify)
Sysmiss
Second reason for giving money
Second reason for giving money
Second reason for giving money
Second reason for giving money
Second reason for giving money
What were the main reasons for giving this money to [ID]?
List up to 3 reasons.
132
548
1
medical care
2
funeral expenses
3
school expenses
4
wedding expenses
5
transportation
6
household maintenance
7
subsistence needs
8
purchase of a durable good
9
investment
10
other (specify)
Sysmiss
Third reason for giving money
Third reason for giving money
Third reason for giving money
Third reason for giving money
Third reason for giving money
What were the main reasons for giving this money to [ID]?
List up to 3 reasons.
2
678
1
medical care
2
funeral expenses
3
school expenses
4
wedding expenses
5
transportation
6
household maintenance
7
subsistence needs
8
purchase of a durable good
9
investment
10
other (specify)
Sysmiss
Reason for giving money (Other)
Reason for giving money (Other)
Reason for giving money (Other)
Reason for giving money (Other)
Reason for giving money (Other)
What were the main reasons for giving this money to [ID]? Other (specify).
16
BUY CIGARS
BUY TOBACCO
CATTLE DIP
DIP CATTLE
LIVESTOCK
MERRY ROUND
OFFERING
PERSONAL
PERSONAL USE
PHONE CREDIT
POCKET MONEY
TAKING BREW
TOBACCO
Date of most recent transfer- Month
Date of most recent transfer- Month
Date of most recent transfer- Month
Date of most recent transfer- Month
Date of most recent transfer- Month
Date of Most Recent Transfer. Month.
410
270
Date of most recent transfer- Year
Date of most recent transfer- Year
Date of most recent transfer- Year
Date of most recent transfer- Year
Date of most recent transfer- Year
Date of Most Recent Transfer. Year.
410
270
Household ID
Household ID
Household ID
Household ID
Household ID
1170
103
99975
49750.244
29624.818
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
1170
1
2
3
6
7
Line number
Line number
Line number
Line number
Line number
1170
1
2
3
4
5
6
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
1170
ID code of spouse
ID code of spouse
ID code of spouse
ID code of spouse
ID code of spouse
1170
ID code of spouse
ID code of spouse
ID code of spouse
ID code of spouse
ID code of spouse
ID code of spouse
1170
How much did you give
How much did you give
How much did you give
How much did you give
How much did you give
How much did you give [ID]?
1170
2
100000
1600.087
3981.28
When did give amount - Month
When did give amount - Month
When did give amount - Month
When did give amount - Month
When did give amount - Month
When did you give this amount to [ID]? Month.
1170
When did give amount - Year
When did give amount - Year
When did give amount - Year
When did give amount - Year
When did give amount - Year
When did you give this amount to [ID]? Year.
1170
Have to pay back any of this amount
Have to pay back any of this amount
Have to pay back any of this amount
Have to pay back any of this amount
Have to pay back any of this amount
Does any of this amount have to be paid back?
If answer is 2 > Go to 13 (trd13a - variable name in dataset).
1170
1
Yes
2
No
How much more expect to pay back
How much more expect to pay back
How much more expect to pay back
How much more expect to pay back
How much more expect to pay back
How much more do you expect [ID] to pay back?
19
1151
10000
1186.842
2266.78
First reason why given money
First reason why given money
First reason why given money
First reason why given money
First reason why given money
What were the main reasons for giving this money to [ID]?
[List up to 3 reasons]
1169
1
1
medical care
2
funeral expenses
3
school expenses
4
wedding expenses
5
transportation
6
household maintenance
7
subsistence needs
8
purchase of a durable good
9
investment
10
other (specify)
Sysmiss
Second reason why given money
Second reason why given money
Second reason why given money
Second reason why given money
Second reason why given money
What were the main reasons for giving this money to [ID]?
[List up to 3 reasons]
57
1113
1
medical care
2
funeral expenses
3
school expenses
4
wedding expenses
5
transportation
6
household maintenance
7
subsistence needs
8
purchase of a durable good
9
investment
10
other (specify)
Sysmiss
Third reason why given money
Third reason why given money
Third reason why given money
Third reason why given money
Third reason why given money
What were the main reasons for giving this money to [ID]?
[List up to 3 reasons]
5
1165
1
medical care
2
funeral expenses
3
school expenses
4
wedding expenses
5
transportation
6
household maintenance
7
subsistence needs
8
purchase of a durable good
9
investment
10
other (specify)
Sysmiss
Main reason why given money (Other)
Main reason why given money (Other)
Main reason why given money (Other)
Main reason why given money (Other)
Main reason why given money (Other)
What were the main reasons for giving this money to [ID]? Other (specify).
112
Household ID
Household ID
Household ID
Household ID
Household ID
617
103
99975
50518.476
29592.578
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
617
1
2
3
4
6
7
8
Line number
Line number
Line number
Line number
Line number
617
1
2
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
617
ID code of spouse
ID code of spouse
ID code of spouse
ID code of spouse
ID code of spouse
617
ID code of spouse
ID code of spouse
ID code of spouse
ID code of spouse
ID code of spouse
ID code of spouse
617
Recieve money or goods regularly
Recieve money or goods regularly
Recieve money or goods regularly
Recieve money or goods regularly
Recieve money or goods regularly
Do you receive money or goods from [ID] regularly?
If answer is 2 > Go to 20 (trd20 - variable name in dataset).
617
1
Yes
2
No
How much receive - Amount
How much receive - Amount
How much receive - Amount
How much receive - Amount
How much receive - Amount
What were the main reasons for receiving this money from [ID]?
List up to 3 reasons.
335
282
20
32000
926.955
2042.197
How much recieve - Frequency
How much recieve - Frequency
How much recieve - Frequency
How much recieve - Frequency
How much recieve - Frequency
What were the main reasons for receiving this money from [ID]?
List up to 3 reasons.
335
282
1
once a week
2
every two weeks
3
once a month
4
every three months
5
every six months
6
once a year
7
less than once a year
Sysmiss
Main reason for receiving money
Main reason for receiving money
Main reason for receiving money
Main reason for receiving money
Main reason for receiving money
What were the main reasons for receiving this money from [ID]?
[List up to 3 reasons]
335
282
1
98
6.997
5.115
1
medical care
2
funeral expenses
3
school expenses
4
wedding expenses
5
transportation
6
household maintenance
7
subsistence needs
8
purchase of a durable good
9
investment
10
other (specify)
98
Sysmiss
Second reason for recieving money
Second reason for recieving money
Second reason for recieving money
Second reason for recieving money
Second reason for recieving money
What were the main reasons for receiving this money from [ID]?
[List up to 3 reasons]
59
558
1
medical care
2
funeral expenses
3
school expenses
4
wedding expenses
5
transportation
6
household maintenance
7
subsistence needs
8
purchase of a durable good
9
investment
10
other (specify)
Sysmiss
Third reason for recieving money
Third reason for recieving money
Third reason for recieving money
Third reason for recieving money
Third reason for recieving money
What were the main reasons for receiving this money from [ID]?
[List up to 3 reasons]
5
612
1
medical care
2
funeral expenses
3
school expenses
4
wedding expenses
5
transportation
6
household maintenance
7
subsistence needs
8
purchase of a durable good
9
investment
10
other (specify)
Sysmiss
Main reason for recieving money (Other)
Main reason for recieving money (Other)
Main reason for recieving money (Other)
Main reason for recieving money (Other)
Main reason for recieving money (Other)
What were the main reasons for receiving this money from [ID]? Other (specify).
23
Date of most recent transfer- Month
Date of most recent transfer- Month
Date of most recent transfer- Month
Date of most recent transfer- Month
Date of most recent transfer- Month
Date of Most Recent Transfer. Month.
333
284
Date of most recent transfer- Year
Date of most recent transfer- Year
Date of most recent transfer- Year
Date of most recent transfer- Year
Date of most recent transfer- Year
Date of Most Recent Transfer. Year.
333
284
Household ID
Household ID
Household ID
Household ID
Household ID
940
389
99975
51426.03
28786.396
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
940
1
2
3
4
6
7
8
Line number
Line number
Line number
Line number
Line number
940
1
2
3
4
5
6
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
940
Line number
Line number
Line number
Line number
Line number
940
Sysmiss
ID code of spouse
ID code of spouse
ID code of spouse
ID code of spouse
ID code of spouse
ID code of spouse
940
How much did you receive
How much did you receive
How much did you receive
How much did you receive
How much did you receive
Does any of this amount have to be paid back?
If answer is 2 > Go to 24 (trd24a - variable name in dataset).
940
10
150000
1735.218
6373.955
When did receive amount - Month
When did receive amount - Month
When did receive amount - Month
When did receive amount - Month
When did receive amount - Month
When did you receive this amount from [ID]? Month.
940
When did receive amount - Year
When did receive amount - Year
When did receive amount - Year
When did receive amount - Year
When did receive amount - Year
When did you receive this amount from [ID]? Year.
940
Have to pay back any of this amount
Have to pay back any of this amount
Have to pay back any of this amount
Have to pay back any of this amount
Have to pay back any of this amount
Does any of this amount have to be paid back?
If answer is 2 > Go to 26 (trd26a - variable name in dataset).
940
1
Yes
2
No
How much more expect to pay back
How much more expect to pay back
How much more expect to pay back
How much more expect to pay back
How much more expect to pay back
How much more do you expect to pay back?
43
897
80000
3437.209
12465.324
Main reason why received money
Main reason why received money
Main reason why received money
Main reason why received money
Main reason why received money
What were the main reasons for receiving this money from [ID]?
[List up to 3 reasons]
940
1
98
7.101
3.461
1
medical care
2
funeral expenses
3
school expenses
4
wedding expenses
5
transportation
6
household maintenance
7
subsistence needs
8
purchase of a durable good
9
investment
10
other (specify)
98
Second reason why received money
Second reason why received money
Second reason why received money
Second reason why received money
Second reason why received money
What were the main reasons for receiving this money from [ID]?
[List up to 3 reasons]
32
908
1
medical care
2
funeral expenses
3
school expenses
4
wedding expenses
5
transportation
6
household maintenance
7
subsistence needs
8
purchase of a durable good
9
investment
10
other (specify)
Sysmiss
Third reason why received money
Third reason why received money
Third reason why received money
Third reason why received money
Third reason why received money
What were the main reasons for receiving this money from [ID]?
[List up to 3 reasons]
5
935
1
medical care
2
funeral expenses
3
school expenses
4
wedding expenses
5
transportation
6
household maintenance
7
subsistence needs
8
purchase of a durable good
9
investment
10
other (specify)
Sysmiss
Main reason why received money (Other)
Main reason why received money (Other)
Main reason why received money (Other)
Main reason why received money (Other)
Main reason why received money (Other)
What were the main reasons for receiving this money from [ID]? Other (specify).
148
Youth Module
Youth Module
Youth Module
Youth Module
Youth Module
1382
1
Yes
2
No
Household ID
Household ID
Household ID
Household ID
Household ID
320
1062
103
99975
49861.584
29291.323
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
320
1062
1
2
3
4
5
6
7
8
9
10
11
12
13
15
Sysmiss
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
320
1062
1
15
Day of interview
Day of interview
Day of interview
Day of interview
Day of interview
Date of Interview. Day.
320
1062
Month of interview
Month of interview
Month of interview
Month of interview
Month of interview
Date of Interview. Month.
320
1062
Year of interview
Year of interview
Year of interview
Year of interview
Year of interview
Date of Interview. Year.
320
1062
1. Sex
1. Sex
1. Sex
1. Sex
1. Sex
Sex of Respondent
320
1062
1
Male
2
Female
8
Sysmiss
2. Age
2. Age
2. Age
2. Age
2. Age
What is your age?
318
1064
14
98
25.157
13.616
3. Month of birth
3. Month of birth
3. Month of birth
3. Month of birth
3. Month of birth
In what month and year were you born? Month.
1382
99
Don’t Know
3. Year of birth
3. Year of birth
3. Year of birth
3. Year of birth
3. Year of birth
In what month and year were you born? Year.
1382
99
Don’t Know
4. Currently attending school
4. Currently attending school
4. Currently attending school
4. Currently attending school
4. Currently attending school
Are you currently attending school?
If answer is 2 > Go to 6 (y06 - variable name in dataset).
311
1071
1
Yes
2
No
8
Sysmiss
5. Expect to remain in school during 2006
5. Expect to remain in school during 2006
5. Expect to remain in school during 2006
5. Expect to remain in school during 2006
5. Expect to remain in school during 2006
Do you expect to remain in school during 2005?
Go to 7 (y07 - variable name in dataset).
89
1293
1
Yes
2
No
8
Sysmiss
6.Have attended school since round 2
6.Have attended school since round 2
6.Have attended school since round 2
6.Have attended school since round 2
6.Have attended school since round 2
Have you attended school since [round 1] (in 2004 if new youth)?
If answer is 2 > Go to 8 (y08 - variable name in dataset).
207
1175
1
Yes
2
No
8
Sysmiss
7. Days of school missed in past 3 months
7. Days of school missed in past 3 months
7. Days of school missed in past 3 months
7. Days of school missed in past 3 months
7. Days of school missed in past 3 months
How many days of school did you miss in the past three months?
Don't include holidays.
128
1254
88
missed all of second term
8. Reasons why missed school
8. Reasons why missed school
8. Reasons why missed school
8. Reasons why missed school
8. Reasons why missed school
What was the main reason why you missed school?
259
1123
1
99
9.004
18.926
1
Own illness
2
Caring for a sick family member
3
Working
4
Insufficient funds
5
Fostered out
6
School was closed
7
Completed all my schooling
8
Other (specify)
8. Reasons why missed school (Other)
8. Reasons why missed school (Other)
8. Reasons why missed school (Other)
8. Reasons why missed school (Other)
8. Reasons why missed school (Other)
What was the main reason why you missed school? Other (specify).
32
9. Highest level of schooling plan to complete
9. Highest level of schooling plan to complete
9. Highest level of schooling plan to complete
9. Highest level of schooling plan to complete
9. Highest level of schooling plan to complete
What is the highest level of schooling you plan to complete?
292
1090
1
Nursery
2
Primary
3
Secondary
4
Post-secondary
8
Sysmiss
10. Currently married or living with partner
10. Currently married or living with partner
10. Currently married or living with partner
10. Currently married or living with partner
10. Currently married or living with partner
Are you currently married or living with a partner?
* Probe if respondent says Yes or No.
If answer is 1 or 2 > Go to 13 (y13 - variable name in dataset).
292
1090
1
Yes – legally married
2
Yes – living with partner
3
No – spouse died
4
No – separated
5
No – never married
Sysmiss
11. Currently engaged to be married
11. Currently engaged to be married
11. Currently engaged to be married
11. Currently engaged to be married
11. Currently engaged to be married
Are you currently engaged to be married?
If answer is 1 > Go to 13 (y13 - variable name in dataset).
276
1106
1
Yes
2
No
Sysmiss
12. Expect to get married in next 2 years
12. Expect to get married in next 2 years
12. Expect to get married in next 2 years
12. Expect to get married in next 2 years
12. Expect to get married in next 2 years
Do you expect to get married in the next two years?
260
1122
1
Yes
2
No
3
9
99
Don’t Know
Sysmiss
13. Person who looks health have HIV virus
13. Person who looks health have HIV virus
13. Person who looks health have HIV virus
13. Person who looks health have HIV virus
13. Person who looks health have HIV virus
Now I would like to ask a few questions concerning your knowledge about major diseases in this area.
Can a person who looks healthy have HIV, the virus that causes AIDS?
292
1090
1
Yes
2
No
9
99
Don’t Know
Sysmiss
14. Know anyone who has died from AIDS
14. Know anyone who has died from AIDS
14. Know anyone who has died from AIDS
14. Know anyone who has died from AIDS
14. Know anyone who has died from AIDS
Since [round 1], has anyone known to you personally died from AIDS?
* Probe by asking about friends and relatives.
If answer is 2 > Go to 16 (y16 - variable name in dataset).
292
1090
1
Yes
2
No
Sysmiss
15. Relationship to this person
15. Relationship to this person
15. Relationship to this person
15. Relationship to this person
15. Relationship to this person
What was your relation to this person?
* If there are multiple persons, ask about person who died more recently.
179
1203
1
Household member
2
Relative in this Division
3
Relative elsewhere
4
Non-relative in this Division
5
Non-relative elsewhere
Sysmiss
16. How many people have died from AIDS
16. How many people have died from AIDS
16. How many people have died from AIDS
16. How many people have died from AIDS
16. How many people have died from AIDS
How many people (in total) known to you personally have died from AIDS?
292
1090
20
4.13
2.76
17. Know anyone who received or receiveing treatment for AID
17. Know anyone who received or receiveing treatment for AID
17. Know anyone who received or receiveing treatment for AID
17. Know anyone who received or receiveing treatment for AID
17. Know anyone who received or receiveing treatment for AID
Since [round 1], has anybody known to you personally begun to receive treatment for AIDS?
*Probe by asking about household members, relatives, friends.
If answer is 2 > Go to 20 (y20 - variable name in dataset).
292
1090
1
Yes
2
No
Sysmiss
18. Relationship to this person
18. Relationship to this person
18. Relationship to this person
18. Relationship to this person
18. Relationship to this person
What was/is your relation to this person?
If there are multiple persons, ask about closest relation.
If answer is 2 > Go to 21 (y21- variable name in dataset).
208
1174
1
Household member
2
Relative in this Division
3
Relative elsewhere
4
Non-relative in this Division
5
Non-relative elsewhere
Sysmiss
19. What happened to person's health since receiving treatme
19. What happened to person's health since receiving treatme
19. What happened to person's health since receiving treatme
19. What happened to person's health since receiving treatme
19. What happened to person's health since receiving treatme
What happened to this person's health since receiving treatment?
208
1174
1
Recovered/Improved
2
Remained sick
3
Got more sick
4
Too early to tell
5
Died
9
99
Don’t Know
Sysmiss
20. In Kosirai Division, treatment for HIV is easily availab
20. In Kosirai Division, treatment for HIV is easily availab
20. In Kosirai Division, treatment for HIV is easily availab
20. In Kosirai Division, treatment for HIV is easily availab
20. In Kosirai Division, treatment for HIV is easily availab
In Kosirai Division, do you know whether treatment for HIV/AIDS is easily available, available but not for everyone who needs it, or not available at all?
292
1090
1
Easily available
2
Available, but not for everyone who needs it
3
Not available at all
8
9
99
Don’t know
Sysmiss
21. Have been tested for HIV since Round 2
21. Have been tested for HIV since Round 2
21. Have been tested for HIV since Round 2
21. Have been tested for HIV since Round 2
21. Have been tested for HIV since Round 2
Same youth: Since [round 1], have you been tested for HIV?
New youth: Have you ever been tested for HIV?
If answer is 2 > Go to 29 (y29 - variable name in dataset).
292
1090
1
Yes
2
No
Sysmiss
22. Month when tested for HIV
22. Month when tested for HIV
22. Month when tested for HIV
22. Month when tested for HIV
22. Month when tested for HIV
When did you get tested for HIV? Month.
*Record most recent testing date.
32
1350
22. Year when tested for HIV
22. Year when tested for HIV
22. Year when tested for HIV
22. Year when tested for HIV
22. Year when tested for HIV
When did you get tested for HIV? Year.
*Record most recent testing date.
32
1350
23. Where got tested
23. Where got tested
23. Where got tested
23. Where got tested
23. Where got tested
Where did you get tested for HIV?
32
1350
1
Mosoriot Health Center
2
Turbo Health Center
3
Burnt Forest Health Center
4
Eldoret
5
Kapsabet
6
Kisumu
7
Other (specify)
99
Don’t know
Sysmiss
23. Where got tested (Other)
23. Where got tested (Other)
23. Where got tested (Other)
23. Where got tested (Other)
23. Where got tested (Other)
Where did you get tested for HIV? Other (specify).
5
24. Most recent HIV test took place at a VCT
24. Most recent HIV test took place at a VCT
24. Most recent HIV test took place at a VCT
24. Most recent HIV test took place at a VCT
24. Most recent HIV test took place at a VCT
Did your most recent HIV test take place at a VCT clinic, antenatal clinic, or elsewhere?
If answer is 2 > Go to 26 (y26 - variable name in dataset).
32
1350
1
VCT clinic
2
Antenatal clinic
3
Other (specify)
4
Won’t say
Sysmiss
24. Most recent HIV test took place at a VCT (Other)
24. Most recent HIV test took place at a VCT (Other)
24. Most recent HIV test took place at a VCT (Other)
24. Most recent HIV test took place at a VCT (Other)
24. Most recent HIV test took place at a VCT (Other)
Did your most recent HIV test take place at a VCT clinic, antenatal clinic, or elsewhere? Other (specify).
2
25. Main reason went for an HIV test
25. Main reason went for an HIV test
25. Main reason went for an HIV test
25. Main reason went for an HIV test
25. Main reason went for an HIV test
21
1361
1
HIV-Positive
2
HIV-Negative
3
Won’t say
4
Have not received results yet
6
7
8
Sysmiss
25. Main reason went for an HIV test (Other)
25. Main reason went for an HIV test (Other)
25. Main reason went for an HIV test (Other)
25. Main reason went for an HIV test (Other)
25. Main reason went for an HIV test (Other)
12
26. Result of HIV test
26. Result of HIV test
26. Result of HIV test
26. Result of HIV test
26. Result of HIV test
What was the result of your HIV test?
Emphasize confidentiality when asking this question.
32
1350
1
HIV-Positive
2
HIV-Negative
3
Won’t say
4
Have not received results yet
Sysmiss
27. Who informed about the status
27. Who informed about the status
27. Who informed about the status
27. Who informed about the status
27. Who informed about the status
Who have you informed about your status?
* list the 3 people that were informed first
29
1353
1
Partner
2
Father
3
Mother
4
Sister/brother
5
Other relative in household
6
Other relative elsewhere
7
Friend
8
Other (specify)
98
Sysmiss
27. Who informed about the status (Other)
27. Who informed about the status (Other)
27. Who informed about the status (Other)
27. Who informed about the status (Other)
27. Who informed about the status (Other)
Who have you informed about your status? Other (specify).
* list the 3 people that were informed first
27. Who informed about the status
27. Who informed about the status
27. Who informed about the status
27. Who informed about the status
27. Who informed about the status
Who have you informed about your status?
* list the 3 people that were informed first
15
1367
1
Partner
2
Father
3
Mother
4
Sister/brother
5
Other relative in household
6
Other relative elsewhere
7
Friend
8
Other (specify)
Sysmiss
27. Who informed about the status (Other)
27. Who informed about the status (Other)
27. Who informed about the status (Other)
27. Who informed about the status (Other)
27. Who informed about the status (Other)
Who have you informed about your status? Other (specify).
* list the 3 people that were informed first
27. Who informed about the status
27. Who informed about the status
27. Who informed about the status
27. Who informed about the status
27. Who informed about the status
Who have you informed about your status?
* list the 3 people that were informed first
9
1373
1
Partner
2
Father
3
Mother
4
Sister/brother
5
Other relative in household
6
Other relative elsewhere
7
Friend
8
Other (specify)
Sysmiss
27. Who informed about the status (Other)
27. Who informed about the status (Other)
27. Who informed about the status (Other)
27. Who informed about the status (Other)
27. Who informed about the status (Other)
Who have you informed about your status? Other (specify).
* list the 3 people that were informed first
28. Informed any other people about the status
28. Informed any other people about the status
28. Informed any other people about the status
28. Informed any other people about the status
28. Informed any other people about the status
Have you informed any other people about your status?
32
1350
1
Yes
2
No
Sysmiss
29. Chances of having HIV
29. Chances of having HIV
29. Chances of having HIV
29. Chances of having HIV
29. Chances of having HIV
Do you think your chances of having HIV/AIDS are high, moderate, low, or do you think you are at no risk at all?
292
1090
1
High
2
Moderate
3
Low
4
No risk at all
Sysmiss
30. Percent chance that currently have HIV
30. Percent chance that currently have HIV
30. Percent chance that currently have HIV
30. Percent chance that currently have HIV
30. Percent chance that currently have HIV
What do you think is the percent chance (0 to 100) that you currently have HIV/AIDS?
292
1090
100
17.918
24.559
31A. Age when first had sexual intercourse
31A. Age when first had sexual intercourse
31A. Age when first had sexual intercourse
31A. Age when first had sexual intercourse
31A. Age when first had sexual intercourse
New youths only:
How old were you when you first had sexual intercourse. Age in years.
If answer is 99 (never)> Go to 36 (y36 - variable name in dataset).
New youths only.
91
1291
99
Never
31B. Total numbers of sexual partner have had
31B. Total numbers of sexual partner have had
31B. Total numbers of sexual partner have had
31B. Total numbers of sexual partner have had
31B. Total numbers of sexual partner have had
All youths
What is the total number of sexual partners that you have had? [Number of partners in lifetime]
If answer is 0 > Go to 36 (y36 - variable name in dataset).
256
1126
98
4.293
13.36
32A. Been sexual active in past 6 months
32A. Been sexual active in past 6 months
32A. Been sexual active in past 6 months
32A. Been sexual active in past 6 months
32A. Been sexual active in past 6 months
Have you been sexually active in the past 6 months?
If answer is 2 > Go to 34 (y34 - variable name in dataset).
248
1134
1
Yes
2
No
8
Sysmiss
32B. How many different sexual partners in past 6 months
32B. How many different sexual partners in past 6 months
32B. How many different sexual partners in past 6 months
32B. How many different sexual partners in past 6 months
32B. How many different sexual partners in past 6 months
How many different sexual partners have you had in the past 6 months? [Number of partners in past 6 months]
167
1215
98
1.784
7.506
33A. Last time had sex with main partner used condom
33A. Last time had sex with main partner used condom
33A. Last time had sex with main partner used condom
33A. Last time had sex with main partner used condom
33A. Last time had sex with main partner used condom
During the last time you had sex with your spouse or main partner, did you use a condom?
167
1215
1
Yes
2
No
3
N/A
8
Sysmiss
33B. Last time had sex in casual encounter used condom
33B. Last time had sex in casual encounter used condom
33B. Last time had sex in casual encounter used condom
33B. Last time had sex in casual encounter used condom
33B. Last time had sex in casual encounter used condom
During the last time you had sex in a casual encounter, did you use a condom?
167
1215
1
Yes
2
No
3
N/A
8
Sysmiss
34. How often use condoms when having sex
34. How often use condoms when having sex
34. How often use condoms when having sex
34. How often use condoms when having sex
34. How often use condoms when having sex
How often do you use condoms when having sex?
248
1134
1
Always
2
Almost Always
3
Very Seldom
4
Never
Sysmiss
35. Spouse/main partner has other sexual partners
35. Spouse/main partner has other sexual partners
35. Spouse/main partner has other sexual partners
35. Spouse/main partner has other sexual partners
35. Spouse/main partner has other sexual partners
Do you think that your spouse or main partner has other sexual partners besides you?
248
1134
1
Yes
2
No
3
N/A
8
9
Sysmiss
36. Have had any technical training
36. Have had any technical training
36. Have had any technical training
36. Have had any technical training
36. Have had any technical training
Have you had any technical or professional training?
292
1090
1
Technical
2
Professional
3
On-the-job
4
No
Sysmiss
37. Plan to receive additional technical training
37. Plan to receive additional technical training
37. Plan to receive additional technical training
37. Plan to receive additional technical training
37. Plan to receive additional technical training
Do you plan to receive any additional technical or professional training in the next 1 year?
292
1090
1
Yes
2
No
Sysmiss
38. Amount have spent on non-food items
38. Amount have spent on non-food items
38. Amount have spent on non-food items
38. Amount have spent on non-food items
38. Amount have spent on non-food items
What is total amount you yourself have spent on non-food items (such as clothing, shoes, bicycles, watches, etc.) in the past 6 months? Amount in KSh
292
1090
18000
2234.418
2396.042
39. Have received financial assistance from friends in past
39. Have received financial assistance from friends in past
39. Have received financial assistance from friends in past
39. Have received financial assistance from friends in past
39. Have received financial assistance from friends in past
Have you received any financial assistance from friends and relatives in the past 6 months?
If answer is 2 > Go to 41 (y41 - variable name in dataset).
292
1090
1
Yes
2
No
Sysmiss
40. Value of all the assistance have receieved in past 6 mon
40. Value of all the assistance have receieved in past 6 mon
40. Value of all the assistance have receieved in past 6 mon
40. Value of all the assistance have receieved in past 6 mon
40. Value of all the assistance have receieved in past 6 mon
What is the value of all the assistance you have received in the past 6 months?
148
1234
100
18000
1569.595
2073.37
41. Main non-schooling activity during the past 6 months
41. Main non-schooling activity during the past 6 months
41. Main non-schooling activity during the past 6 months
41. Main non-schooling activity during the past 6 months
41. Main non-schooling activity during the past 6 months
During the past 6 months, what has been you main nonschooling activity?
* Read the choices to respondent.
If answer is 4 > Go to 44 (y44 - variable name in dataset).
292
1090
1
Farming
2
Wage/Salaried Employment
3
Non-farm Self-Employment
4
Unemployed/did not work
Sysmiss
42. During past month how much money earned for all the work
42. During past month how much money earned for all the work
42. During past month how much money earned for all the work
42. During past month how much money earned for all the work
42. During past month how much money earned for all the work
During the past month, how much money did you yourself earn for all of the work you did? Amount in KSh.
208
1174
15000
1467.067
2045.476
43. How amount compare to what usually earned every month in
43. How amount compare to what usually earned every month in
43. How amount compare to what usually earned every month in
43. How amount compare to what usually earned every month in
43. How amount compare to what usually earned every month in
How does this amount compare to what you usually earned every month in the past year?
207
1175
1
More
2
About the same
3
Less
8
Sysmiss
44. Expect to look for another job in next 6 montths
44. Expect to look for another job in next 6 montths
44. Expect to look for another job in next 6 montths
44. Expect to look for another job in next 6 montths
44. Expect to look for another job in next 6 montths
Do you expect to look for another job in the next 6 months?
293
1089
1
Yes
2
No
3
8
Sysmiss