The Economic Impact of AIDS Treatment: Labor Supply in Western Kenya
Not Assigned
HIV
DDI_KEN_2006_GEHDS_v01_M
World Bank, Development Impact Evaluation (DIME) Initiative
Akiko Sagesaka
2010-06-14
Metadata Editor
Center for Interdisciplinary Research on AIDS
UK Economic and Social Research Council
Markus Goldstein
Harsha Thirumurthy
Version 1.0
IE not linked to a WB operation
Africa (AFR)
Kenya
Human Development Network (HDN)
Poverty Reduction (PO)
Joshua Graff Zivin
Greater Eldoret Health and Development Survey (Round 3) 2006
GEHDS 2006
KEN_2006_GEHDS_v01_M
Markus Goldstein and Harsha Thirumurthy
(c)2010, The World Bank
2010-05-07
Metadata Editor
Other Household Health Survey [hh/hea]
v1.2: Edited data, second version, for internal use only
The data has been reformatted to long form from wide form.
employment [3.1]
consumption/consumer behaviour [1.1]
income, property and investment/saving [1.5]
compulsory and pre-school education [6.2]
general health [8.4]
specific diseases and medical conditions [8.9]
housing [10.1]
youth [12.10]
time use [13.9]
morbidity and mortality [14.4]
Kenya
Household, Individual
Sample survey data [ssd]
Face-to-face [f2f]
Markus Goldstein and Harsha Thirumurthy. Greater Eldoret Health and Development Survey (GEHDS) Round 3, 2006. Ref. KEN_2006_GEHDS_v01_M. Dataset downloaded from www.microdata.worldbank.org on [date].
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.
identification.NSDstat
The file contains data related to cover sheet of the household survey.
1710
20
Nesstar 200801
Version 1.0, converted from wide to long format.
hhattrition.NSDstat
The file contains data related to "Household Attrition Form - Mosoriot Round 3".
1710
29
Nesstar 200801
Version 1.0.
hhroster_3.NSDstat
The file contains data related to "New Household Members" in Household Roster.
525
24
Nesstar 200801
Version 1.0, converted from wide to long format.
hhroster_4a.NSDstat
525
24
Nesstar 200801
hhroster_4b.NSDstat
884
27
Nesstar 200801
iroster.NSDstat
The file contains data related to "Permanent individual roster".
1885
21
Nesstar 200801
Version 1.0, converted from wide to long format.
education.NSDstat
The file contains data related to "Education" (Education of NEW household members, and Schooling since Round 1).
2825
41
Nesstar 200801
Version 1.0, converted from wide to long format.
educexp.NSDstat
The file contains data related to "Education expenditures", except for questions 1-9.
1383
19
Nesstar 200801
Version 1.0, converted from wide to long format.
educexp_2.NSDstat
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
34
Nesstar 200801
Version 1.0, converted from wide to long format.
health_abd.NSDstat
The file contains data related to "Health and health services use" (Most recent illness, Chronic conditions, and Health records data), except for section C.
5401
108
Nesstar 200801
Version 1.0, converted from wide to long format.
health_c.NSDstat
The file contains data related to section C of "Health and health services use"(Health History), 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
28
Nesstar 200801
Version 1.0, converted from wide to long format.
health_c_I.NSDstat
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
Nesstar 200801
Version 1.0, converted from wide to long format.
health_c_II.NSDstat
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
Nesstar 200801
Version 1.0, converted from wide to long format.
health_c_III.NSDstat
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
Nesstar 200801
Version 1.0, converted from wide to long format.
health_c_IV.NSDstat
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
Nesstar 200801
Version 1.0, converted from wide to long format.
consump.NSDstat
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
39
Nesstar 200801
Version 1.0, converted from wide to long format.
consump_item.NSDstat
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
Nesstar 200801
Version 1.0, converted from wide to long format.
assets_1.NSDstat
The file contains data related to part I of "Assets" (Land), except for questions 8-11 and 17-24.
964
23
Nesstar 200801
Version 1.0, converted from wide to long format.
assets_1_8.NSDstat
The file contains data related to questions 8-11 in part I of "Assets" (Land sales).
47
13
Nesstar 200801
Version 1.0, converted from wide to long format.
assets_1_17.NSDstat
The file contains data related to questions 17-24 in part I of "Assets" (Land purchases/acquisitions).
80
19
Nesstar 200801
Version 1.0, converted from wide to long format.
assets_2.NSDstat
The file contains data related to part II of "Assets" (Livestock), except for questions 1-3, 5-9 and 11-14.
964
20
Nesstar 200801
Version 1.0, converted from wide to long format.
assets_2_1.NSDstat
The file contains data related to questions 1-3 in part II of "Assets" (Livestock).
3856
5
Nesstar 200801
Version 1.0, converted from wide to long format.
assets_2_5.NSDstat
The file contains data related to questions 5-9 in part II of "Assets" (Livestock sales and gifts).
729
18
Nesstar 200801
Version 1.0, converted from wide to long format.
assets_2_11.NSDstat
The file contains data related to questions 11-14 in part II of "Assets" (Livestock pruchases/acquisitions).
1111
17
Nesstar 200801
Version 1.0, converted from wide to long format.
assets_3.NSDstat
The file contains data related to part III of "Assets" (Small farm equipment).
8676
16
Nesstar 200801
Version 1.0, converted from wide to long format.
assets_4.NSDstat
The file contains data related to part IV of "Assets" (Large farm equipment), except for questions 7-11 and 13-17.
964
20
Nesstar 200801
Version 1.0, converted from wide to long format.
assets_4_7.NSDstat
The file contains data related to questions 7-11 in part IV of "Assets" (Large equipment sales and gifts).
9
16
Nesstar 200801
Version 1.0, converted from wide to long format.
assets_4_13.NSDstat
The file contains data related to questions 13-17 in part IV of "Assets" (Large equipment purchases/acquisitions).
14
17
Nesstar 200801
Version 1.0, converted from wide to long format.
assets_5.NSDstat
The file contains data related to part V in "Assets" (Durable goods).
9640
15
Nesstar 200801
Version 1.0, converted from wide to long format.
assets_6.NSDstat
The file contains data related to part VI of "Assets" (Vehicles), except for questions 6-10 and 12-15.
964
20
Nesstar 200801
Version 1.0, converted from wide to long format.
assets_6_6.NSDstat
The file contains data related to questions 6-10 in part VI of "Assets" (Vehicle sale and gifts).
52
17
Nesstar 200801
Version 1.0, converted from wide to long format.
assets_6_12.NSDstat
The file contains data related to questions 12-15 in part VI of "Assets" (Vehicle purchases/acuisitions).
80
17
Nesstar 200801
Version 1.0, converted from wide to long format.
assets_7.NSDstat
The file contains data related to part VII of "Assets".
2385
18
Nesstar 200801
Version 1.0, converted from wide to long format.
income.NSDstat
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
73
Nesstar 200801
Version 1.0, converted from wide to long format.
agriculture.NSDstat
The file contains data related to "Agricultural activities - Household Heand Spouse".
963
34
Nesstar 200801
Version 1.0, converted from wide to long format.
agriculture_a.NSDstat
The file contains data related to section A of "Agricultural activities - Household Head and Spouse" (Land Cultivation).
2517
21
Nesstar 200801
Version 1.0, converted from wide to long format.
agriculture_b.NSDstat
The file contains data related to section B of Agricultural activities - Household Head and Spouse" (Land Use).
2889
36
Nesstar 200801
Version 1.0, converted from wide to long format.
agriculture_c.NSDstat
The file contains data related to section C of "Agricultural activities - Household Head and Spouse" (Crop Production).
3134
25
Nesstar 200801
Version 1.0, converted from wide to long format.
agriculture_d.NSDstat
The file contains data related to section D of "Agricultural activities - Household Head and Spouse" (Farm Inputs).
13482
8
Nesstar 200801
Version 1.0, converted from wide to long format.
agriculture_e.NSDstat
The file contains data related to questions 2-7 in section E of "Agricultural activities - Household Head and Spouse" (Agricultural Help).
317
9
Nesstar 200801
Version 1.0, converted from wide to long format.
agriculture_f.NSDstat
The file contains data related to questions 2-8 in section F of "Agricultural activities - Household Head and Spouse" (Livestock Production).
2401
16
Nesstar 200801
Version 1.0, converted from wide to long format.
agriculture_g.NSDstat
The file contains data related to section G of "Agricultural activities - Household Head and Spouse" (Agricultural Loans/ Extension).
2889
7
Nesstar 200801
Version 1.0, converted from wide to long format.
agriculture_h.NSDstat
The file contains data related to section H of "Agricultural activities - Household Head and Spouse" (Changes in Farming Practices).
5778
9
Nesstar 200801
Version 1.0, converted from wide to long format.
shocks_a.NSDstat
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
38
Nesstar 200801
Version 1.0, converted from wide to long format.
shocks_a_3.NSDstat
The file contains data related to questions 3-5 in section A of "Unexpected events"(Farm events).
364
10
Nesstar 200801
Version 1.0, converted from wide to long format.
shocks_a_7.NSDstat
The file contains data related to questions 7-9 in section A of "Unexpected events" (Farm events).
85
8
Nesstar 200801
Version 1.0, converted from wide to long format.
shocks_a_11.NSDstat
The file contains data related to questions 11-13 in section A of "Unexpected events" (Farm events).
47
7
Nesstar 200801
Version 1.0, converted from wide to long format.
shocks_a_15.NSDstat
The file contains data related to questions 15-17 in section A of "Unexpected events" (Farm events).
15
8
Nesstar 200801
Version 1.0, converted from wide to long format.
shocks_a_19.NSDstat
The file contains data related to questions 19-21 in section A of "Unexpected events"(Farm events).
46
8
Nesstar 200801
Version 1.0, converted from wide to long format.
shocks_a_24.NSDstat
The file contains data related to questions 24-25 in section A of "Unexpected events"(Farm events).
456
6
Nesstar 200801
Version 1.0, converted from wide to long format.
shocks_b.NSDstat
The file contains data related to section B of "Unexpected events" (Home events), except for questions 30-31, 33-34, and 40-42.
972
24
Nesstar 200801
Version 1.0, converted from wide to long format.
shocks_b_30.NSDstat
The file contains data related to questions 30-31 in section B of "Unexpected events" (Home events).
123
6
Nesstar 200801
Version 1.0, converted from wide to long format.
shocks_b_33.NSDstat
The file contains data related to questions 33-34 in section B of "Unexpected events" (Home events).
7
6
Nesstar 200801
Version 1.0, converted from wide to long format.
shocks_b_40.NSDstat
The file contains data related to questions 40-42 in section B of "Unexpected events" (Home events).
160
8
Nesstar 200801
Version 1.0, converted from wide to long format.
shocks_c.NSDstat
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
Nesstar 200801
Version 1.0, converted from wide to long format.
shocks_c_45.NSDstat
The file contains data related to questions 45-47 in section C of "Unexpected events" of the household survey questionnaire (Employment events).
49
8
Nesstar 200801
Version 1.0, converted from wide to long format.
shocks_c_49.NSDstat
The file contains data related to questions 49-50 in section C of "Unexpected events" (Employment events).
30
6
Nesstar 200801
Version 1.0, converted from wide to long format.
shocks_c_53.NSDstat
The file contains data related to questions 53-55 in section C of "Unexpected events" (Employment events).
165
8
Nesstar 200801
Version 1.0, converted from wide to long format.
transfers.NSDstat
The file contains data related to "Transfers and credit" (Transfers and credit received, Transfers and credit sent, Savings, and Within household transfers), except for questions 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
57
Nesstar 200801
Version 1.0, converted from wide to long format.
transfers_a_2.NSDstat
The file contains data related to questions 2-8 in section A of "Transfers and credit" (Transfers and credit received).
2187
12
Nesstar 200801
Version 1.0, converted from wide to long format.
transfers_a_10.NSDstat
350
10
Nesstar 200801
Version 1.0, converted from wide to long format.
transfers_b.NSDstat
The file contains data related to questions 2-8 in section B of "Transfers and credit" (Transfers and credit sent).
1306
12
Nesstar 200801
Version 1.0, converted from wide to long format.
transfers_d_2.NSDstat
The file contains data related to questions 2-5 in section D of "Transfers and credit" (Within household transfers).
680
13
Nesstar 200801
Version 1.0, converted from wide to long format.
transfers_d_8.NSDstat
The file contains data related to questions 8-13 in section D of "Transfers and credit" (Within household transfers).
1170
13
Nesstar 200801
Version 1.0, converted from wide to long format.
transfers_d_15.NSDstat
The file contains data related to questions 15-19 in section D of "Transfers and credit" (Within household transfers).
617
13
Nesstar 200801
Version 1.0, converted from wide to long format.
transfers_d_21.NSDstat
The file contains data related to questions 19-24 in section D of "Transfers and credit" (Within household transfers).
940
13
Nesstar 200801
Version 1.0, converted from wide to long format.
timealloc.NSDstat
The file contains data related to "Time Allocation".
4439
24
Nesstar 200801
Version 1.0, converted from wide to long format.
kb.NSDstat
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
70
Nesstar 200801
Version 1.0, converted from wide to long format.
kb_4.NSDstat
The file contains data related to questions 4-12 in section C of "Knowledge and behavior" (Sexual history & behavior).
1065
20
Nesstar 200801
Version 1.0, converted from wide to long format.
anthropo_a.NSDstat
The file contains data related to "Anthropometrics" (Child height and weight and Primary respondents).
798
23
Nesstar 200801
Version 1.0, converted from wide to long format.
anthropo_b.NSDstat
The file contains data related to section B of "Anthropometrics" (Child vaccinations).
265
54
Nesstar 200801
Version 1.0, converted from wide to long format.
anthropo_c.NSDstat
The file contains data related to section C of "Anthropometrics" (Growth history).
1120
16
Nesstar 200801
Version 1.0, converted from wide to long format.
marriage.NSDstat
The file contains data related to "Marriage", except for section A and B.
369
9
Nesstar 200801
Version 1.0, converted from wide to long format.
marriage_a.NSDstat
The file contains data related to section A of "Marriage" (Current marriages).
14
29
Nesstar 200801
Version 1.0, converted from wide to long format.
marriage_b.NSDstat
The file contains data related to section B of "Marriage" (Previous Marriages).
5
22
Nesstar 200801
Version 1.0, converted from wide to long format.
mortality.NSDstat
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
21
Nesstar 200801
Version 1.0, converted from wide to long format.
mortality_a.NSDstat
The file contains data related to section A of "Mortality" (Mortality of previous household members).
32
73
Nesstar 200801
Version 1.0, converted from wide to long format.
mortality_b.NSDstat
The file contains data related to section B of "Mortality" (Mortality of children living away).
6
40
Nesstar 200801
Version 1.0, converted from wide to long format.
mortality_c.NSDstat
106
26
Nesstar 200801
Version 1.0, converted from wide to long format.
mortality_d.NSDstat
The file contains data related to section D of "Mortality" (Information about Living Parents of Foster Children - if parent isn't part of household).
395
11
Nesstar 200801
Version 1.0, converted from wide to long format.
housing.NSDstat
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
23
Nesstar 200801
Version 1.0, converted from wide to long format.
housing_2.NSDstat
The file contains data related to questions 2-13 in part I of "Housing characteristics" (Type and ownership of structures/dwellings).
250
20
Nesstar 200801
Version 1.0, converted from wide to long format.
timerisk.NSDstat
The file contains data related to "Time and risk preferences".
1382
44
Nesstar 200801
Version 1.0, converted from wide to long format.
youth.NSDstat
The file contains data related to "Youth".
1382
64
Nesstar 200801
Version 1.0, converted from wide to long format.
Household ID
Household ID Number
1710
0
Household identification
Respondent ID
Respondent ID Number
1710
0
Household identification
Round
1710
0
3
1710
District
District
1693
17
Household identification
1
Nandi
2
Uasin Gishu
Division
Division
1710
0
Household identification
Location
Location
1710
0
Household identification
Sublocation
Sublocation
1709
1
Household identification
Village
Village
1709
1
Household identification
Respondent Name
Respondent Name
1710
0
Household identification
Length of interview - Hours
Interview Length. Hours.
1385
325
0
98
13.141
30.578
Length of interview -Minutes
Interview Length. Minutes.
1385
325
0
98
33.331
28.569
Day of interview
Date (DD/MM/YYYY). Day.
1710
0
Interviewer visits
Month of interview
Date (DD/MM/YYYY). Month.
1710
0
Interviewer visits
Year of interview
Date (DD/MM/YYYY). Year.
1710
0
Interviewer visits
Interviewer number
Interviewer's Code
1694
16
Interviewer visits
Household result
Result Code
1710
0
Interviewer visits
1
Completed
1384
2
Designated Respondent not Present
73
3
No Household Member/Competent Respondent at Home
0
4
Entire Household Absent for Extended Period of Time
5
5
Postponed
0
6
Refused
27
7
Dwelling Vacant
15
8
Dwelling Not Found
0
9
Other (specify)
206
Main language of intwerview
Main Language of Interview
1387
323
Interviewer visits
1
Kiswahili
741
2
Nandi
598
3
English
37
4
Other (specify)
1
8
10
Sysmiss
323
Supervisor
Supervisor Code
1709
1
Data entry clerk
Data Entry Code
1710
0
District (other)
District. Other.
15
1695
Household ID
1710
0
Respondent ID
1710
0
Household Attrition Form Done
1701
9
Household ID
Household ID
331
1379
Day of interview
Date. Day.
331
1379
Month of interview
Date. Month.
331
1379
Year of interview
Date. Year.
331
1379
2006
***Undefined Label
Interviewer ID
Interviewer
314
1396
Supervisor ID
Supervisor
331
1379
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
178
2
Clinic
151
3
2
Sysmiss
1379
Reason why hh not interviewed
Reason why household members were not interviewed?
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
32
2
Not home, multiple visits
64
3
Refused interview
26
4
Household divided
8
5
Other (specify)
49
8
1
Sysmiss
1530
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
0
Reason for refusal
Reason for refusal.
34
0
Who gave information - 1
List up to two groups
42
1668
1
Neighbor(s)
28
2
Elder or area chief
2
3
Other (specify)
10
8
2
Sysmiss
1668
Who gave information - 2
Who gave you the information about the household? B.
List up to two groups
12
1698
1
Neighbor(s)
0
2
Elder or area chief
7
3
Other (specify)
3
8
2
Sysmiss
1698
Who gave information - other
Who gave you the information about the household? Other (specify).
13
0
To what region hh moved
To what region did the household members move?
46
1664
1
This village
3
2
This location
2
3
Kosirai Division
5
4
Nandi District
8
5
Uasin Gishu District
11
6
Eldoret
1
7
Kakamega
1
8
Kitale
4
9
Kisumu
1
10
Nakuru
0
11
Nairobi
0
12
Other urban area
0
13
Other rural area
4
14
Outside Kenya
0
30
1
98
2
99
Don't know
3
Sysmiss
1664
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
8
2
Yes–child died
2
3
Yes–multiple deaths
0
4
No known deaths
41
Sysmiss
1659
Reason for hh move
What was the stated reason for the household's move?
Reasons such as employment, marriage, dispute, etc.
43
0
New hh id
10
1700
Other notes
Other notes
End.
175
0
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
2
Still comes to clinic, not found
55
3
Stopped coming
32
4
Transfer to other clinic
31
5
Known to be deceased
21
8
1
9
4
Sysmiss
1564
Reason for refusal
Reason for refusal.
4
0
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
When was last appointment for which patient came to clinic? Month.
99
1611
99
Don’t know
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
71
0
AMRS Code
Project manager - check with AMRS data in AMPATH office
144
1566
2
Still comes to clinic
53
3
Stopped coming
33
4
Transfer to other clinic
31
5
Known to be deceased
21
8
1
9
5
Sysmiss
1566
1710
0
Household ID
Household ID
525
0
Respondent ID
525
0
Line number
The primary female respondent.
All new household members.
0
525
ID code
The primary female respondent.
ID Code
(continue from round 2, i.e., the number listed in question B above)
All new household members.
525
0
Name of household member
The primary female respondent.
NAME of individual
All new household members.
525
0
Sex
The primary female respondent.
Sex of [NAME]
All new household members.
525
0
1
Male
235
2
Female
290
Relationship to household head
The primary female respondent.
Relationship of [NAME] to Head
All new household members.
523
0
Relationship (Other)
The primary female respondent.
All new household members.
7
0
Month of birth
The primary female respondent.
Date of Birth. Month.
All new household members.
525
0
Year of birth
The primary female respondent.
Date of Birth. Year.
All new household members.
525
0
Age - Years
The primary female respondent.
Current Age. Years.
All new household members.
525
0
0
92
11.77
14.664
Age - Months
The primary female respondent.
Current Age. Mths (if age below 5 yrs).
All new household members.
243
282
0
98
6.037
10.873
Marital status
The primary female respondent.
Current Marital Status
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
26
2
Cohabitating
24
3
Divorced
0
4
Separated
8
5
Widowed
7
6
Never married
161
8
1
Sysmiss
298
Partner lives in household
The primary female respondent.
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
35
2
No
15
8
1
Sysmiss
474
Code of partner
The primary female respondent.
ID Code of partner
(from col. 1)
All new household members.
36
489
Months away in past 6 months
The primary female respondent.
How many months was NAME away in last 6 months?
[Round down to whole number]
All new household members.
524
1
0
8
0.418
1.187
Code of father
The primary female respondent.
ID Code of biological father
(from col. 1)
All new household members.
525
0
88
Not resident
98
Deceased
Code of mother
The primary female respondent.
ID Code of biological mother
(from col. 1)
All new household members.
525
0
88
Not resident
98
Deceased
ID code of respondent
The primary female respondent.
ID code of respondent
525
0
Members listed in R2
The primary female respondent.
Number of individuals listed in Round 2
(refer to Round 2 roster)
525
0
3.712
HH Head ID code
The primary female respondent.
Household Head ID Code
525
0
Any individual join household since round 2
The primary female respondent.
Go to Section 4 (hhroster_4a - name of dataset).]]>
525
0
1
Yes
525
2
No
0
3
N\A
0
Count section 3
525
0
1
6
1.777
1.038
525
0
3
525
Household ID
525
0
6
91210
1840.196
9651.084
Respondent ID
525
0
1
268
2
230
3
11
4
3
5
3
6
3
7
6
8
1
Line number
0
525
Sysmiss
525
ID code
525
0
2
25
8.688
3.872
Name of household member
525
0
ABEDNEGO KIPLAGAT
2
ABRAHAM KIPROTICH
2
ADAMS KIPCHIRCHIR
1
ALEX KIPRUTO
1
ALEX KOSGEI
1
ALICE JEROP
1
ALLAN KIPLIMO
1
ALLAN KIPRUTO
1
ALPHONSE KIPLAGAT
1
AMON KIPRUTO
1
AMOS KIBIWOTT
2
AMOS KIMURGOR
2
ANGELLA CHEPKORIR
1
APHERY KUGA
1
ARAP SAINA
1
ASBEL KIPRUTO
1
ASPEL KIPRUTO
1
BEATRICE JEROP
1
BELAH CHEPKEMBOI
1
BENJAMIN KIPTUM
1
BENNEDICT EVULA
1
BETHWEL KIMURGOR
1
BETHWEL KIPYEGO
2
BILDAD KIPKIRUI
2
BILHA CHEBOTIB
2
BILHA JEBET
2
BOAZ KIPKOGEI
2
BOAZ KIPKORIR
1
BONFACE
1
BONIFACE
1
BRAISON KIPROP
2
BRENDA CHEPCHUMBA
1
BRIAN KEMBOI
1
BRIAN KINYOSI
1
BRIAN KIPLAGAT
2
BRIAN KIPROTICH
1
BRIAN KIPYEGO
1
BRYAN KIPCHUMBA
2
CALDRIN JEROP
1
CALTRINE JEROP
1
CALVINCE CHEROP
2
CAMILLA JEBICHI
2
CAREN CHEPKOECH
1
CAREN JEPKOECH
2
CAROL CHEROTICH
1
CAROLINE CHERONO
1
CAROLYN CHEPCHIRCHIR
1
CAROLYNE CHEMUTAI
1
CAROLYNE CHEPLETING
2
CAROLYNE CHEPTOO
1
CAROLYNE CHEROBON
1
CAROLYNE CHERONO
1
CAROLYNE JEPTOO
1
CARSON KIPLETING
1
CHARITY CHEBICHI
2
CHARITY JEPTOO
1
CHARLES ODEDE
1
CHEMAIYO SIKOWO
1
CHEMTAI SEREM
1
CHEPCHUMBA
1
CHRISTINE CHEPTISIA
1
CHRISTINE YEGO
1
CLINTON KIPRONO
1
CLITON KIPRONO
1
COLLETA CHERUTO
2
COLLINS KIPTOO
2
COLLINS MASIZA
2
CORNELIUS KIRWA
2
COSMAS KIPKEMBOI
1
CYLLA JERUTO
2
CYNTHIA JEBET
2
CYNTHIA JEPTOO
2
DAISY CHEPKEMBOI
2
DAIZY CHEROP
1
DAMARIS CHEPCHIRCHIR
1
DAMARIS MUONJA
1
DANIEL KIPLIMO
2
DAVID ADONGO
1
DAVID KIPKORIR
1
DAVID LELEI
2
DAVID OMWORE
1
DAVIN CHEPKOECH
2
DAVIN JEPCHUMBA
1
DEDAD TOO
2
DELPHIN JEPKEMEI
1
DENIS KIPLAGAT
1
DENNIS KIBET
1
DENNIS KIMUTAI
2
DENNIS KIPKIRUI
1
DENNIS KIPROP
1
DENNIS KIPRUTO
1
DENNIS KIPYEGO
2
DENNIS OMMOLLO
1
DERRICK CHERUIYOT
1
DIANA IMBUGWA
1
DIBORAH JEPKEMEI
2
DICKSON MWANGI
1
DISMAS KIPCHUMBA
1
DOLPHINE ACHIENG
1
DORCAS CHEMELI
1
DOROTHY RONO
1
EBBY CHEBET
2
EDAH CHEPNGETICH
1
EDWIN KIBET
2
EDWIN KIGEN
2
EDWIN KIPKETER
1
EDWIN MUYESHI
1
ELIJAH KIPROP
1
ELISHA KIPKOSGEI
1
ELIUD KIMARU
1
ELIUD KOECH
1
ELIZABETH JEMUTAI
1
ELLY KIPNGETICH
2
EMANUEL KIPLAGAT
1
EMANUEL KIPRUTO
1
EMILY TANUI
1
EMMANUEL KIPKOECH
1
EMMANUEL KIPLIMO
1
EMMANUEL KIPROTICH
1
ESTHER CHEPKOSGEI
1
ESTHER OYOMBE
1
ESTHER SAMOEI
1
ETHEN KIPKOECH
1
EUCILA JEBITOK
1
EULITA JEPKOECH
1
EULITAH JEPKOECH
1
EUNICE J BUTIA
1
EUNICE JEPKOECH B
1
EURITA CHEPCHUMBA
1
EVANS KIPLETING
1
EVERLINE CHEPCHIRCHI
1
EVERLINE KOECH
1
EZRA KIPKORIR
2
FAITH CHEPCHIRCHIR
2
FAITH CHEPKOSGEI
2
FAITH CHEPKURUI
1
FAITH CHEROTICH
2
FAITH JEBET
2
FAITH JEPCHUMBA
1
FAITH JEPKEMBOI
2
FAITH MBONE
1
FAUSTIN CHERUIYOT
2
FELISTA MALESI
1
FELIX KIMUTAI
1
FELIX KIPCHIRCHIR
2
FELIX KIPRUTO
1
FEMINA ISINDANO
1
FENANDO KIPCHUMBA
2
FESTUS KIPCHUMBA
1
FESTUS KIRWA
2
FRANCIS KIPTAMBEN
2
FRANKLIN KIPCHIRCHIR
1
FRIDA NGETICH
1
GAD KIPCHIRCHIR
1
GAIL CHEPCHUMBA
2
GARSON KIPLETING
1
GENISIUS KIPRONO
2
GEOFREY INDIAGA
1
GEOFREY KINYUA
1
GEORGINA JEPKOECH
1
GETHRUD JEPCHIRCHIR
2
GETRUDE CHELAGAT
1
GETRUDE JELAGAT
1
GIDEON KIPROTICH
2
GLADYS CHEMUTAI
1
GLADYS CHEPCHUMBA
1
GLADYS CHEPKORIR
2
GLADYS JEBICHI
2
GLADYS JEPKORIR
1
GLORIA CHEMUTAI
1
GLORIA JEBET
1
GRACE JELAGAT
2
HALISON CHEMUTAI
2
HALOCIUS KIPKORIR
2
HANNAH NALIAKA
2
HANNAH TERIGIN
1
HARRIET CHERUTO
2
HILDA JELIMO
2
HILDAH CHEROP
1
HILLARY KIPCHIRCHIR
1
HILLARY KIPROTICH
1
IAN KIPCHUMBA
1
IAN KIPKEMBOI
1
IAN KIPKEMEI
1
IAN KIPRONO
3
IAN KIPTOO
2
IRENE CHEPCHUMBA
3
IRENE CHEPTOO
1
IRENE JEPCHOGE
1
IRENE JEPTOO
1
IRENE JEROTICH
1
IRENE OWUOR
1
IRINE JEPCHIRCHIR
1
IRINE JEROTICH
1
ISABELLAH JEPCHIRCHI
2
IVON CHEROP
1
IVY CHEPKOECH
2
IVY JEPCHUMBA
2
IVY JEPKEMBOI
1
IVY JERONO
2
JACKLYNE CHERUTO
1
JAMES KIRWA
1
JAMES MNANDI
1
JANE JEPKEMBOI
2
JANET JEPKEMEI
1
JAVAN KANYANJI
1
JENIFER JEPCHIRCHIR
1
JEPCHIRCHIR
2
JOAN CHEPKOECH
2
JOAN JEMURGOR
1
JOAN JEPKIRUI
2
JOAN JEROBON
2
JOB KIPLIMO
1
JOEL KIPRUTO
1
JOHN MUKUNDA
2
JOHN NYONGESA
1
JOSEPH LUMBASIA
2
JOSEPH MWANDA
1
JOSEPHINE JERUTO
1
JOSEPHINE KWAMBOKA
1
JOSIAH KIPROTICH
1
JOYLINE JERUTO
2
JUDITH CHEPKOGEI
1
JUDITH JEPKOECH
1
JULIA JEMELI
1
JULIA JERUBET
2
JULIUS LUKARI
1
JUSTUS KIPKOGEI
1
KAREN JEPNGETICH
2
KAREN MUDESI
1
KELANDRIA
1
KELVIN KIMURGOR
1
KELVIN KIPCHIRCHIR
1
KELVIN KIPKOECH
4
KELVIN KIPKORI
1
KELVIN KIPTOO
1
KELVIN KIRWA
1
KENNEDY CHENGO
1
KEVIN KIPKEMEI
1
KEVIN LUYANZI
2
KEVIN WAFULA
1
KIBUNGEI
1
KIPKIRONG SENJE
1
KIPKIRUNG SENJE
1
KIPKOECH
1
KIPKORIR SANG
1
KIPKOSGEI FRANKLINE
1
KIPLAGAT
1
KIPRONO MAGUT
1
KIPSANG
1
LEAH KEMEI
2
LENAH CHELAGAT
1
LEONARD BIWOT
1
LEONARD BIWOTT
1
LEVIS KIPLAGAT
2
LEWIS ONKEO
1
LILIAN JEPTOO
1
LILIANA TELAGAT
1
LILIANAH
1
LUCY CHEPCHUMBA
1
LUCY JEMURGOR
2
LYDIA CHERUTO
2
LYNN CHEPKASI
1
MARGY METTO
1
MARION JEMUTAI
2
MARIUS KIPTANUI
1
MARY MINAYO
1
MAUREEN BUCHETI
1
MAUREEN CHEROP
1
MAUREEN CHERUTO
2
MAURINE JEBET
1
MAXMILA JERUTO
1
MAXMILLA JERUTO
1
MELVIN CHEPCHIRCHIR
1
MERCY CHEPCHIRCHIR
1
MERCY CHEPKORIR
2
MERCY JEPCHIRCHIR
1
MERCY TANUI
1
MERCYLINE JEPKIRUI
1
MESHACK KIPCHIRCHIR
1
MESHARK KIPCHIRCHIR
1
MICAH
2
MICHAEL KOECH
1
MICHELLE CHEPCHUMBA
2
MILLAN KIPROTICH
1
MILLICENT JEPCHUMBA
2
MILTON KIPKORIR
2
MILTON KIPKOSGEI
1
MODILENE KIPLIMO
1
MONICA JEBICHI
1
MONICA JEBICHII
1
MONICAH CHOGE
1
NAFTALI KIPRONO
2
NAIRON KIPLAGAT
1
NANCY CHELAGAT
2
NANCY CHEPKEMBOI
2
NANCY CHEPKOECH
1
NANCY JEPNGETICH
1
NANCY KABOSA
1
NANCY KHAHANGWA
1
NAOM JEPCHIRCHIR
1
NATHAN SETANEI
1
NEHEMIAH KIPLIMO
1
NICHOLAS KIPKOECH
2
NIMROD KIPKORIR
2
NORBERT KIPCHUMBA
2
OBADIA KIPLAGAT
1
OLIVA KIPKOSGEI
1
OLIVIA CHEPKORIR
1
OLVAR KIPLIMO
1
OSCAH TSISAGA
1
PAMELA NYANCHAMA
1
PATRIC ODURI
1
PERIS KHASAYA
1
PETER ANDEKE
1
PETER KIPLAGAT
1
PETER KIPLIMO
1
PHELIX KIPROP
2
PHILIPH MAGUT
1
PRESTASIS JEROP
1
PRISCA CHEPCHIRCHIR
2
PRISCILLAH KANYANJI
1
PURITY CHEPCHUMBA
2
PURITY CHEPNGETICH
2
PURITY JEMELI
1
RANCY JEPKOECH
2
RAPHAEL OWITI
1
REBECCA CHEBITOK
1
REGINA CHEPKORIR
1
REGINA CHOGE
1
RENCY JERUTO
1
REUBEN KIPKORIR
2
RICHARD KIPKORIR
1
RINCY CHERUTO
1
RIYAN KIPKEMBOI
1
ROBERT OMONDI
1
ROGGERS
1
ROSA CHERUIYOT
1
ROSE KOSGEI
1
ROSELINE NANJALA
1
ROSEMARY
1
RUTH CHEPKEMBOI
1
RUTH CHEPKOECH
1
RUTH CHERUTO
1
RUTH CHOGE
1
RUTH JERUTO
1
RUTH LUMBOKA
1
SALOME CHESANG
1
SALOME TONGOI
1
SAMUEL KIPKURUI
2
SANIBALAD SHIMIMI
1
SARAH MUTAI
2
SELLAH BUSON
2
SHARON CHEPCHUMBA
1
SHARON CHERONO
1
SHARON JEBET
2
SHARON JEPCHUMBA
2
SHARON MBONI
1
SHARON NGETICH
1
SHAWIN CHERONO
1
SHEILA JEROTICH
2
SHEILAH JEROP
2
SHELTON KIPRUTO
1
SHERWIN CHERONO
1
SHERWINE CHERONO
1
SIMON KIPSANG
1
STEPHENE KIPRUTO
1
STEVEN CHIRCHIR
1
SUSAN CHERUTO
2
SUSAN JEBET
1
SYDNEY CHERUTO
1
TECLA JERONO
1
TOM IMBUNYE
1
VALARE JERUTO
1
VALENCE OCHIENG
1
VALENTINE CHEPKOGEI
1
VALENTINE JEPKOECH
2
VERONICAH JEPTANUI
2
VICTOR KIPKOSGEI
2
VICTOR KIPRONO
2
VINCENT KIPCHIRCHIR
1
VINCENT KIPKIRUI
1
VINCENT KIPLAGAT
2
VINCENT KORIR
1
VIOLA CHEPTANUI
1
VIOLA JEPKOECH
2
VIOLA JEPKORIR
1
VIOLA LIMO
2
VIVIAN JEPKURUI
2
WILLY KIPKOGEI
1
WINNY JEPKEMBOI
1
WINSAM JEBUNGEI
1
YANO KIPRONO
1
YOSHUA SABOKI
2
ZACHAUS KIPROP
2
ZEDDY CHEPCHUMBA
2
ZENAH JEPTUM
1
ZIPPHORA JERUTO
2
ZIPROSA ONURA
1
ZULEWA AMINA
1
Sex
525
0
1
235
2
290
Relationship to household head
523
0
01
6
02
7
03
72
04
74
05
1
06
1
07
23
08
43
1
2
10
3
11
2
11A
10
12
5
12A
12
13
2
14
3
16
11
17
26
18
22
2
7
20
3
3
50
30
3
34
8
35
24
4
33
41
7
4A
20
5A
1
6
3
6A
2
7
22
8
14
98
1
Relationship (Other)
7
0
COUSIN TO ID 02
2
GRAND DAUGHTER
2
GREAT GRANDSON
1
HERDSBOY
1
HH DAUGHTER
1
Month of birth
525
0
1
99
32.474
41.787
Year of birth
525
0
99
2006
1990.135
84.032
Age - Years
525
0
0
92
11.77
14.664
Age - Months
243
282
0
98
6.037
10.873
Marital status
227
298
1
26
2
24
4
8
5
7
6
161
8
1
Sysmiss
298
Partner lives in household
51
474
1
35
2
15
8
1
Sysmiss
474
Code of partner
36
489
1
98
6.167
16.019
Months away in past 6 months
524
1
0
450
1
8
2
23
3
27
4
9
5
2
6
1
8
4
Sysmiss
1
Code of father
525
0
1
99
56.07
43.536
Code of mother
525
0
1
98
38.994
43.097
HH members listed in R2 moved away
525
0
1
Yes
235
2
No
290
HH members listed in R2 no longer alive
525
0
1
Yes
25
2
No
499
8
1
Members moved away or deceased
246
279
1
170
2
54
3
6
4
12
6
2
7
2
Sysmiss
279
_merge representing hhrostersection4A
525
0
1
525
_merge representing hhrostersection4B
525
0
0
279
1
246
525
0
3
525
Household ID
884
0
1
91692
2306.051
10785.792
Respondent ID
884
0
1
448
2
359
3
58
4
1
5
7
6
1
7
6
8
4
HH members listed in R2 moved away
884
0
1
Yes
859
2
No
25
HH members listed in R2 no longer alive
884
0
1
Yes
73
2
No
808
8
3
Members moved away or deceased
884
0
1
336
2
228
3
111
4
104
5
35
6
18
7
14
8
24
14
14
_merge representing hhrostersection4A
884
0
1
884
Line number
0
884
Sysmiss
884
ID code
884
0
1
24
5.844
3.657
Name
881
0
ABEDI ALI
1
ABEL KIPROP
1
ABIGAEL CHEPCHIRCH
2
ABRAHAM KIPLAGAT
2
ADAM KIPROTICH
1
ADELITE KHALESA
1
AGNES CHEPCHUMBA
2
AGNES CHERUTO
1
AGNES CHESANG
1
AGREY MWASHI
1
ALBERT KIPCHIRCHIR
1
ALBERT KIPLIMO
1
ALBERT KIRWA
1
ALEX AMBOGO
2
ALEX KIPRUTO
1
ALFRED KIPTOO
2
ALFRED MWANZO
2
ALICE CHEROP
1
ALINGO MORRIS
1
ALLAN KIMUTAI
1
ALOYCESYUS CHERUIY
1
ALPHINE CHEPKORIR
1
ALPHINE JEPKORIR
1
AMIR KIPKORIR
1
AMON KIPKEMEI
1
AMON KIPROTICH
1
AMON KIPTOO
1
ANDREW
1
ANDREW KIPKOSGEI
1
ANDREW TARUS
1
ANGELINA CHELAGAT
1
ANN JEBICHI
1
ANNA CHEPCHIRCHIR
1
ANNA CHEPKEMBOI
1
ANNAH CHESANG
1
ANNE CHEPCHIRCHIR
1
ANNE CHEPKEMBOI
2
ANNE KOGEI
1
ANNSELAH JEPKEMEI
1
ANTHONY KIMUTAI
2
ANTONINA CHEBITOK
1
ANTONY KIPROTICH
1
ARNODA MUREI
1
ASKENUS KIPLIMO
1
AYUB KIPKORIR
1
BALOZI KIPCHIRCHIR
1
BASILIZA CHEPKERIN
1
BEATRICE
1
BEATRICE CHEPCHUMB
1
BEATRICE JEPKOECH
1
BEN-HADAD KIPKOECH
1
BENDICTOR CHEMESUN
2
BENEDICTA CHELIMO
1
BENJAMIN KIPNGETIC
2
BENJAMIN SANGUTEI
2
BENJAMIN SHIKUTWA
1
BERIL LIETA
1
BETHWEL KIPLIMO
1
BETWEL KIPTOO
2
BILIO JELAGAT
1
BONIFACE MUGALLA
1
BRANDAN KIPKOGEI
1
BRENDA
1
BRENDA CHEPCHIRCHI
1
BRENDA CHEROP
1
BRIAN
1
BRIAN KIPKOECH
1
BRIAN KIPRUTO
1
BRIGIT CHEPKOGEI
2
BRYSON LUVANDARE
1
CALEB ONYANGO
1
CALEB ROTICH
2
CALVIN CHEPKORIR
1
CALVIN JEROP
1
CAREN CHEPCHIRCHIR
2
CAREN CHEPTOO
1
CAROLINE
1
CAROLINE CHEBET
1
CAROLINE CHEBUNGEI
1
CAROLINE CHESANG
1
CAROLINE KAGEHA
1
CAROLYN
1
CAROLYN CHEPKEMBOI
1
CAROLYN JEBITOK
1
CAROLYNE CHEBET
1
CAROLYNE CHEBUNGEI
1
CAROLYNE CHERUTO
1
CAROLYNE JEBITOK
1
CAROLYNE WAIMOEI
1
CECILIA CHEBONGEI
1
CELESTINE CHEPTUM
1
CELESTINE IBERIA
1
CELESTINE JEPTOO
1
CHARITY KHAVERE
1
CHARLES KEMBOI
1
CHEBIWOT REGINA
2
CHEMUTAI S
1
CHEPKEMBOI PRISCA
1
CHEPKEMEI
1
CHEPKOECH ANNALINE
1
CHEPTABUT CHIRCHIR
1
CHEPTOGOM BIRECH
1
CHEPTOLOI
1
CHEPTOO REBECCA
1
CHERONO ANN
2
CHRISTINE LELEI
1
CLARA JEPKIRONG
2
CLARA JEPTANUI
1
CLEMENTINA BEGCHIB
1
CLEOPHAS KIPKOECH
1
CLOPHAS KIPLAGAT
1
COLLINS KIPKEMEI
2
COLLINS KIPLAGAT
2
COLLINS KIPROP
2
CONSTANTINE
1
CRISPUS WANYENYE
1
CRISPUS WENYENYE
1
CYNTHIA AKINYI
1
CYNTHIA CHERONO
1
DAISY KOSGEI
1
DAIZY CHEPKORIR
1
DAMARIS ANDENY
1
DANIEL
2
DANIEL CHERUIYOT
1
DANIEL KIPKOSGEI
1
DANIEL KIPRONO
1
DANIEL LETING
1
DANIEL SEREM
1
DANIEL SITIENEI
1
DAVID
1
DAVID KENGWA
1
DAVID KIPKORIR
1
DAVID KIPLAGAT
1
DAVID KIPROP
1
DAVID KIPTANUI
2
DAVID KOECH
2
DAVID MELI
1
DAVID SANG
1
DAVID TOO
1
DAVID YANGA
1
DENIS CHERUIYOT
1
DENIS KIPRUTO
1
DENIS OCHIENG
1
DENNIS KIPCHUMBA
3
DENNIS KIPKORIR
1
DENNIS KIPTOO
1
DIANA
1
DIANA JELAGAT
1
DIANA JEP
1
DIANAH KHABERE
1
DICKSON LUMWAMU
1
DINAH MUTAI
1
DOLFIN AYUMA
1
DONALD MUSURE
1
DORCAS CHEPCHIRCHR
1
DORCAS CHEPKORIR
1
DORIS KHATIALA
1
DOROTHY ADHIAMBO
1
EDNA CHELIMO
2
EDNA CHEMUTAI
2
EDNA CHESANG
1
EDNA JEBET
2
EDWIN
1
EDWIN CHERUIYOT
2
EDWIN KIBET
2
EDWIN KIPCHIRCHIR
2
EDWIN KIPKOECH
1
ELIAS KIPCHIRCHIR
1
ELIAS KOGEI
2
ELIGY KIBIWOT
1
ELIJAH BUTIA
1
ELIJAH KIPKOSGEI
1
ELISABAN KIPROP
1
ELISEBA CHEPTUM
1
ELISHA KIPRONO
2
ELISHA RONO
1
ELISHA SAMBU
3
ELIUD KIPCHIRCHIR
1
ELIUD KIPKOGEI
1
ELIUD KIPSANG
1
ELIZABETH CHELAGAT
1
ELIZABETH CHEPTUM
1
ELIZABETH JELAGAT
1
ELIZABETH KOSGEI
1
ELKANA KIPCHUMBA
1
ELKANA KOGO
1
ELMELKA KIPROTICH
1
ELSEBA JEBITOK
1
ELZEBA JEBITOK
1
EMANUEL KIMURGOR
1
EMILY CHEPKURGAT
1
EMILY CHEPTUM
1
EMILY CHEROTICH
1
EMILY CHOGE
2
EMILY JEROP
1
EMILY KIRWA
1
EMILY SOIMO
1
EMMANUEL KIMURGOR
1
EMMANUEL KIPLIMO
2
EMMY JEPKEMEI
2
ENOCK KIBET
2
ERIC
1
ERIC KIPLIMO
1
ERICK KIPKOSGEI
1
ESENDI ALIGULA
1
ESTHER JEROBON
1
ESTHER LIMO
2
EUNICE CHEMELI
1
EUNICE CHEPCHUMBA
3
EUNICE CHEPKIRUI
1
EUNICE CHEPKOSGEI
1
EUNICE CHEPLETING
1
EUNICE CHEPTOO
1
EUNICE CHERUBET
1
EUNICE JEBET
1
EUNICE JEPCHUMBA
1
EUNICE JEPKASI
1
EUNICE JEPKEMBOI
3
EUNICE JEROP
2
EUSILA
2
EUSILA CHEPTOO
1
EUSILA JEMASUNDE
1
EUSILA JEMESUNDE
1
EVANS BIWOT
2
EVANS KIPRUTO
1
EVANS MURAGE
1
EVERLINE CHEBICHI
1
EVERLINE CHEPKOSGE
1
EVERLINE MBOYOGA
1
EVERLYN JEPKORIR
1
EVERLYN JEPNGETICH
1
EVERLYNE CHEPKOSGE
1
EVERLYNE JEPKORIR
1
EVERLYNE TOGOM
1
EZEKIEL KHALUGUN
2
EZEKIEL KIPKOECH
1
EZEKIEL KIPROP
1
EZEKIEL KIRWA
2
EZEKIEL KOECH
1
EZRA KIPCHUMBA
2
FABIAN LELEI
1
FAITH CHEPCHIRCHIR
2
FAITH CHEPKIRUI
1
FAITH JEPKETER
1
FAITH JEROP
1
FATUMA KETER
2
FELISTA KHANALI
1
FELISTA SITIENEI
1
FELISTAS
1
FELISTAS JEMUTAI
1
FELIX KIPTOO
2
FLOMENA JESANG
2
FLORENCE ADHIAMBO
1
FLORENCE JEPKOECH
2
FLORENCE JERONO
1
FRANCIS
2
FRED KIPCHUMBA
1
FRED KIPLIMO MARU
1
FREDRIC MUSURE
1
GEOFFREY KIBOR
1
GEOFFREY KIPTOO
1
GEOFREY ISANYA
1
GEOFREY KEMBOI
1
GEOFREY KIBET
1
GEOFREY KIBOR
1
GEOFREY KIPKETER
2
GEOFREY KIPLIMO
1
GEOFREY MAKAMU
1
GIBSON KIBIWOTT
1
GIBSON KIPKEMBOI
1
GIDEON KIPKEMEI
2
GIDEON KIPROTICH
1
GILBERT KIMELI
1
GILBERT KIPLIMO
2
GILION KIPTOO
1
GLADYS CHEMTAI
2
GLADYS CHEPKEMBOI
1
GLADYS CHEPKOECH
2
GLADYS CHEPKOSGEI
2
GLADYS JEBET
1
GLADYS JEPKETER
2
GLADYS JEPKORIR
1
GLADYS JEPTUM
2
GLORIA JEPTOO
2
GODFREY ISANYA
1
GODWIL KIGEN
2
GRACE KOGO
1
GRACE NGATO
2
H KEMBOI
1
HARON KIPCHUMBA
1
HELLEN AWINJA
2
HELLEN JEMAIYO
2
HELLEN TARUS
2
HENRY BARAIWO
1
HERBERT KOSGEI
1
HILARY KIRWA
1
HILLARY KIPCHUMBA
3
HILLARY KIPKOSGEI
2
HILLARY KIPLIMO
1
HILLARY KIPRONO
1
HILLARY KIRWA
1
HOSEA CHIRCHIR
1
HOSEA KEMBOI
1
IRENE BIRECH
2
IRENE CHEBITOK
1
IRENE CHEPTANUI
1
IRENE CHEPTOO
1
IRENE CHEROP
1
IRENE JEBITOK
1
IRENE JEPKOSGEI
1
IRENE JEROP
1
IRENE JERUTO
1
IRENE KHABERE
1
IRENE MUTAI
1
IRINE JEBITOK
1
IRINE JEPKOSGEI
1
IRINE JEPTOO
1
ISAAC KIBET
2
ISAAC KIPCHIRCHIR
2
ISAAC KIPROTICH
1
ISAAC KIPTOO
1
ISAAC TABUT
1
ISMAIL KIPRONO
1
JACKLINE
1
JACKLINE CHERUTO
2
JACKLINE JEPLETING
1
JACKLINE JEROP
2
JACKLYNE CHEBITOK
2
JACOB TANUI
1
JAMES ROTICH
2
JANE
1
JANE CHEPKEMOI
1
JANE DINA
1
JANE JEPKOSGEI
2
JANE JEPTOO
2
JANET CHEPCHIRCHIR
2
JANET CHEPCHUMBA
1
JANET CHEPKWONY
2
JANET CHEROP
1
JANET CHERUTO
1
JANET JEMURGOR
1
JAPHAN KIPLAGAT
1
JAPHETH KIPCHIRCHI
2
JAPHETH KIPKOSGEI
1
JAPHETH KIPRUTO
1
JAPHETH LAGAT
1
JARED NGENY
1
JELIMO
1
JENIFER NAMUTOSI
2
JEPTOO LUCY
1
JEREMIA KIPNGETICH
1
JERONO TALAM
1
JEROTICH TANUI
1
JERRY IMBWAGA
1
JOAKIM KIPLAGAT
1
JOAN CHELIMO
1
JOAN CHEPCHUMBA
1
JOAN CHEPNGETICH
2
JOAN JELIMO
1
JOEL BITOK
1
JOEL CHERUIYOT
1
JOEL KIBIWOT
2
JOHANA KOECH
1
JOHN KAMAU
1
JOHN KEMBOI
1
JOHN KIPCHIRCHIR
1
JOHN KIPROTICH
3
JOHN KIPTALAM
1
JOHN MBERESIA
1
JOHN OKELLO
1
JOHN SIMIYU
1
JONAH TOO
1
JOPHAN KIPLAGAT
1
JORAM KIPLETING
1
JOSEPH KIPCHUMBA
2
JOSEPH KIPROTICH
2
JOSEPHINE CHEROTIC
2
JOSEPHINE CHESANG
1
JOSEPHINE JEPTOO
1
JOSHUA BIRGEN
1
JOSHUA KIPRUTO
1
JOSHUA KIRWA K
1
JOSHUA LEL
2
JOSPHAT KIPSEREM
1
JOSPHINE CHESANG
1
JOSPHINE JEPTOO
1
JOYCE CHEPKWONY
2
JUDITH
1
JUDITH CHELAGAT
1
JUDITH CHEPKEMEI
1
JUDY CHEPLETING
1
JULIA KOGO
3
JULIAH JEPKOSGEI
1
JULIE CHEBET
2
JULIUS KIBIWOT
2
JULIUS KIMUTAI
2
JULIUS KIPKOECH
1
JULIUS KIPKOSGEI
1
JULIUS KIPRUTO
2
JULIUS KIPSANG
1
JULIUS NYERERE
1
JUSTUS BETT
1
K KIPKORIR
1
KELVIN CHEPKORIR
1
KELVIN KIPKEMBOI
1
KELVIN KIPKORIR
1
KELVIN KIPROP
2
KELVIN KIPRUTO
1
KEN TUWEI
2
KENEDY KIPCHUMBA
1
KENNEDY
1
KENNEDY CHERUIYOT
1
KENNEDY KIPCHIRCHI
2
KENNEDY KIPKOGEI
1
KEVIN KIPKEMEI
1
KHASANDE
1
KIBETT
1
KIBOR EDWIN
1
KIMELI
1
KIMISOI MUTAI
1
KIPKERING KURGAT
1
KIPKOECH ARAP MUZE
1
KIPLAGAT CHEBII
1
KIPRUTO KERING
1
KIPSELEM MISOI
2
KIPTUM KIRWA
2
KIPYEGO LAGAT
1
KIRWA RUTO BRIAN
2
KITUR ARAP SOI
1
LABAN KIPKEMBOI
1
LEAH CHEPKEMEI
1
LENA LELEI
1
LEONARD
1
LEVY KIBET
1
LILIAN
1
LILIAN ACHIENG
2
LILIAN CHEPKAZI
1
LILIAN CHEPKIRUI
1
LILIAN CHESANG
1
LILIAN SANG
2
LILY CHEPKEMEI
1
LILY JEPTOO
1
LOICE JELAGAT K.
1
LOICE JEPKOECH
2
LOLO
1
LONGINAS KIPCHUMBA
2
LORNA CHEBET
1
LUCY JEPCHIRCHIR
2
LUDIA KARONEY
1
LUDIA LIMO
2
LUKAS OTUNGA
1
LYDIA CHEPCHUMBA
1
LYDIA JERONO
1
MAGDALINE CHEPTOO
2
MAGDALYNE JEPKURUI
1
MAINA
2
MALON KIPCHIRCHIR
1
MARGARET AYUMA
1
MARGARET CHEPKOSGE
1
MARGARET JEPKOSGEI
1
MARIA JEPKOROS
1
MARIAH AMOLLO
1
MARIGA JEBITOK
1
MARION CHEBICHI
1
MARTHA YEGO
1
MARTIN MUGALLA
1
MARY CHEPCHIRCHIR
1
MARY CHEPCHUMBA
1
MARYLYNE CHEPTOO
1
MATHEW KIBET
1
MATTHEW KIBET
1
MAUREEN ACHIENG
1
MAUREEN CHEPKOECH
1
MAXIMILLA MUGALLA
1
MAXMILLA JEPKEMBOI
1
MAXWEL KIPROTICH
1
MAXWELL ROTICH
1
MENDE
1
MERCY
1
MERCY CHEMUTAI
1
MERCY JEPCHUMBA
1
MERCY JEROBON
1
METRIN NANGASI
1
MICAH KIPKEMBOI
2
MICHAEL KEMEI
1
MICHAEL KIPLAGAT
1
MICHAEL NASHARI
1
MILCAH CHEPTOO
1
MILICENT CHEPKOECH
1
MILICENT JEPCHUMBA
2
MIRIAM CHERUTO K
1
MIRIAM J BUTIA
2
MITCHEL
1
MONICA CHEPCHUMBA
2
MONICA MANDAGO
1
NANCY CHEPLETING
1
NANCY CHEPTANUI
1
NANCY CHEREBET
1
NANCY CHERUBET
1
NANCY JEPCHIRCHIR
1
NANCY JEPKEMEI
1
NANCY JEPKOECH
4
NANCY JEROP
2
NAOMI CHEPKOSGEI
1
NAOMI CHEROBON
1
NAOMI JEMELI
1
NAOMI JEMUTAI
1
NAOMI JEPCHIRCHIR
1
NAOMI JEPKEMBOI
1
NAOMI LEL
1
NAUM CHEROBON
1
NAUM JEMUTAI
1
NEHEMIA KIMELI
2
NELLY JEPKOROS
1
NELLY KIPKOECH
2
NELLY KOGO
1
NICHOLAS KIMARU
2
NICHOLAS KIPCHIRCH
1
NICHOLAS KIPKEMBOI
1
NICHOLAS KIPKORIR
1
NICHOLAS KIPYEGO
1
NICKLAH GHAI
1
NOAH KIPTOO
1
NORAH CHESANG
1
OLIVIA CHEBET
1
OLYVIA JEREBET
1
ORSULA BIRGEN
1
OSCAR
1
P CHEROTICH
1
PACELISA CHEMELI
1
PACIFIC CHEPTUM
2
PAMELA CHEPKURUI
2
PAMELA CHEROTICH
1
PATRICE KIPKORIR
2
PATROBA CHERONO
2
PATROBA JEPTOO
1
PAUL KHAYUMBI
1
PAUL KIPCHUMBA
2
PERRIS JERUTO
1
PETER AMBEYI
1
PETER CHARLES
1
PETER KIPKEMEI
1
PETER KIPKETER L
2
PETER NJUGUNA
1
PHANICE
1
PHELIX KIPLETING
1
PHELIX KIPRUTO
2
PHILEMON KIPTOO
1
PHILIP KEINO
1
PHILIP OMUNAMES
2
PHOEBE KASIAGILA
1
PIUS SONGOK
2
PRISCA CHEMUTAI
2
PRISCA CHEPTANUI
1
PRISCA J. KORIR
1
PRISCAH CHEBET
1
PRISCAH CHEPTANUI
1
PRISCILA JEPNGETIC
1
PRISCILLA LAGAT
1
PRISCILLA LITWAJI
1
PRISCILLAH JELAGAT
1
PURITY BARORET
1
PURITY CHELIMO
1
PURITY CHEPCHIRCHI
1
PURITY JEPCHIRCHIR
1
R NAFULA
1
RAEL BIWOT
1
RAEL CHEPCHIRCHIR
1
RAEL JELAGAT
4
RAEL JEPTOO
2
REBECCA JERONO
1
REBIC JEPCHUMBA
1
REGINA KORIR
1
REUBEN INDIMBURA
1
RHODA MWERE
1
ROBERT CHEPLETING
1
ROBERT KIPLETING
1
RODGERS KIPTOO
1
ROGERS KIPLIMO
2
ROGGERS
1
ROSE CHEPNGETICH
1
ROSE JEPKURUI
1
ROSE MUGALLA
1
RUTH CHEMATIA
1
RUTH CHEMELI
1
RUTH CHEPKOECH
1
RUTH CHEPKOGEI
2
RUTH JEMELI
2
RUTH JEMUTAI
1
RUTH JEROP
2
SALIM KIPKOSGEI
1
SALLY CHEMELI
1
SALLY JEPKOECH
1
SALOME J CHEBOMOLE
1
SALOME JEROTICH
2
SALOME MARARE
1
SAMMY KIPCHUMBA
2
SAMSON KIPROTICH
2
SAMUEL CHERUIYOT
1
SANDRA CHEPKEMBOI
1
SARAH CHEBET
1
SARAH JEPKEMBOI
1
SARAH KURGAT
1
SAVA
1
SCOLLY JEPLETING
2
SELINA CHEROTICH
1
SELLY CHEPCHUMBA
3
SELLY JEPKOECH
1
SHADRACK KIPLIMO
1
SHARON CHELAGAT
1
SHARON CHEMATIA
1
SHARON CHERUTO
3
SHARON JEPCHIRCHIR
1
SHARON JEPCHUMBA
2
SHARON JEPLETING
2
SHARON JERUTO
2
SHARON OMOLO
1
SHEILA CHEPKORIR
1
SHEILA CHEPKURUI
1
SHEILA JEPKOECH
1
SHEILA LULU
2
SHYLINE KORIR
1
SILA KIBET
1
SILA KIPCHIRCHIR
2
SIMEON KESSIO
1
SIMION KIMURGOR
1
SIMON KIPLETING
1
SIMON SWAKA
1
STALIN KIPLIMO
1
STELLA CHEPCHUMBA
1
STELLA CHEPKOECH
2
STELLA JEPLETING
1
STEPHEN BURGO
1
STEPHEN KIPRUTO
2
STEPHEN KUTO
1
STEPHEN TOGOM
1
STEVEN
1
STEVEN KIPKEMBOI
1
SUSAN CHEPCHUMBA
2
SUSAN CHEPTUM
1
SUSAN JEPCHUMBA
1
SYDNEY CHERUTO
1
SYLUS SHIBULI
1
SYLVIA CHELIMO
1
SYLVIA JEPKOGEI
1
TECLA BARAIWO
1
TECLA JEPCHIRCHIR
2
TECLA JEROBONI
1
TECLA JERONO
1
TERESA JEPKOECH
1
TERESA KOECH
2
TERESA MURGOR
1
TERESIA KINYANJUI
1
THOMAS BETT
1
TIMOTHY KIMUTAI
2
TIMOTHY KISOMBE
1
TIMOTHY SAINA
3
TIMOTHY SHITOGO
1
TITUS KIPNGETICH
2
TRUFENA AMBEYI
1
TRUPHENA MAIYO
1
USILA TUWEI
1
VALENTINE JEPKORIR
1
VALENTINE MORAA
1
VERONICA CHEPSIROR
1
VERONICA CHEPTOO
1
VERONICA JEPKORIR
1
VERONICAH CHEPTOO
1
VERONICAH JEPKORIR
1
VICTOR KIMUTAI
1
VICTOR KIPLETING
2
VICTOR KOSGEI
1
VICTOR SHIKURI
1
VICTORIA JEPKEMEI
1
VICTORINE CHEPCHUM
1
VINCENT KIPKOECH
2
VINCENT KIPTOO
1
VIOLA JEBET
1
VIRAMILA JEPKOECH
1
VIVIAN CHEBET
2
VIVIAN JEPCHUMBA
2
VIVIAN JEPKEMEI
1
WEISLEY KIPKOECH
1
WESLEY SUGE
2
WILFRED KIPCHIRCHI
1
WILLY
1
WILLY KIPKEMBOI
1
WILLY KIPNGETICH
2
WILSAP JERUTO
2
WILSON K CHERUIYOT
1
WILSON KIPKORIR
2
WILSON TIROP
1
WINIE JEPLETING
1
WINNIE
1
WINNIE JEPKORIR
2
WINNIE NGENY
1
WINNIE ODHIAMBO
1
WINNY CHELAGAT
1
WINNY CHEPTOO
1
YVONNE CHEPCHUMBA
1
ZAKAYO MISOI
1
ZIPPORAH CHEPKOECH
1
ZIPPORAH CHERUIYOT
1
ZIPPORAH JEPKIRUI
1
ZIPPORAH JEPTANUI
1
Why no longer a member
884
0
1
40
2
844
Month member died
40
844
1
98
8.25
14.958
Year member died
40
844
2002
1
2004
1
2005
28
2006
10
Sysmiss
844
Cause of death
40
844
1
33
5
3
7
4
Sysmiss
844
Cause of death (Other)
4
0
DROWNED
1
OLD AGE
3
Illness that was suffering from
33
851
1
99
12.121
18.357
Illness that was suffering (Other)
6
0
ALCOHOL
1
LUNG INFECTION
2
OSTEOPOROSIS
1
RENAL PROBLEM
1
STROKE
1
Currently in school
843
41
1
253
2
578
9
12
Sysmiss
41
Where living
843
41
1
99
5.573
11.651
Current employment status
843
41
0
525
1
17
2
23
3
78
4
45
5
114
7
19
8
2
9
20
Sysmiss
41
Current employment (Other)
18
0
CASUAL
4
CASUAL WORKER
4
DRIVER
1
HAIR DRESSING
1
HOUSE GIRL
1
SCHOOL
1
SHAMBA BOY
5
UNTRAINED TEACHER
1
Why living elsewhere
844
40
1
99
5.528
6.269
Why living elsewhere (Other)
146
0
02,03,04 MOVED OUT
1
03 MOVED
1
98
1
BOUGHT HER OWN LAND
1
COHABITING
3
DIVORCE
2
ESTABLISHED A HH
1
FORMED HER OWN HOUSEHOLD
1
GOT PREGNANT
1
HH 91216 SPLIT
2
HH DIVIDED
8
HOUSE TO STAY WITH CHILDR
1
HOUSEHOLD DIVIDED
19
HUSBAND JAILED
1
ID 03 MOVED
1
IN REMAND
1
INDEPENDENT
1
JAILED
1
JOB SEEKING
9
LEFT THE JOB
1
LEFT WITH PARENTS
1
LEFT WORK
4
LIVES IN HER OWN HOUSE
2
LIVES WITH ELDER SONS
1
LIVING IN HER OWN HOUSE
1
LIVING IN HIS OWN HOUSE
1
LIVING ON HER LAND
1
LIVING WITH AUNT
1
LIVING WITH BROTHER
1
LIVING WITH COUSIN
2
LIVING WITH HER MOTHER
1
LIVING WITH HER PARENTS
3
LIVING WITH HER SON
1
LIVING WITH HIS MOTHER
2
LIVING WITH MOTHER ID04
1
LIVING WITH PARENTS
8
LIVING WITH RELATIVE
1
LIVING WITH UNCLE
1
LOOK FOR A JOB
1
MARRIED
1
MOVED TO ESTABLISH FAMILY
1
MOVED TO FORM HOUSEHOLD
1
MOVED TO FORM OWN HHOLD
1
MOVED TO JOIN HUSBAND
1
MOVED TO STAY WITH PARENT
1
MOVED TO UASIN GISHU
1
MOVED WITH PARENT
7
REFUSED TO MARRY HIM
1
RETURNED HOME TO PARENTS
2
REUNITED WITH FAMILY
1
SEEKING EMPLOYMENT
1
SEPARATED
17
SEPARATION
3
STAYING IN HER OWN HOUSE
1
STAYING WITH BROTHER
1
STAYING WITH HER CHILDREN
1
STAYING WITH ID 04
1
STAYING WITH THE AUNTIE
1
STAYING WITH THE COUSIN
1
STAYING WITH THE SISTER
1
STOPPED WORKING
4
TO LOOK FOR A JOB
2
TO VISIT HER SISTER
1
WENT AWAY-DOMESTIC ISSUES
1
WENT WITH PARENTS
1
Month moved away
844
40
1
99
5.877
6.165
Year moved away
844
40
98
2006
2000.904
90.346
Directions to new residence
841
0
1
5
4
2
98
2
99
9
AIC KAMUNGEI
1
ALDAI
3
AMERICA
2
AWASI IN NYANDO DISTRICT
1
BARATON
4
BARATON CENTRE
1
BARATON CHEMUNDU
1
BARATON CTR
1
BARINGO
2
BELEKENYA
1
BIRIBIRIET
1
BIRIBIRIET WEST
1
BOMET
3
BUNGOMA
1
CHAMUSIEK
1
CHEINDO IN KAPSABET
1
CHEMAMUL
3
CHEMAMUL VILLAGE
3
CHEMAMUL VILLAGE-KOSIRAI
1
CHEMAMUL-RONGIT
1
CHEMAROT
4
CHEMAROT VILLAGE
4
CHEMNYANGO
14
CHEMOROROCH
1
CHEMUNDU
7
CHEMUNDU BARATON
2
CHEMUSWA
4
CHEMUSWO
9
CHEPKATET
6
CHEPKATET VILLAGE
2
CHEPKETEI
1
CHEPKIT
5
CHEPKOILEL
2
CHEPKOILEL NEAR M.U CAMPUS
1
CHEPKOILEL NEAR THE CAMPUS
1
CHEPKOIYO
4
CHEPKUMIAT IN NANDI HILLS
1
CHEPLELAIBEI
1
CHEPSONOI
2
CHEPSONOI NEAR KAIMOSI
1
CHEPSUI
3
CHEPTARIT
6
CHEPTARIT CENTRE
1
CHEPTARIT VILLAGE
3
CHEPTEON
3
CHEPTERIT
2
CHEPTERIT CENTRE
1
CHEPTERIT GIRLS
1
CHEPTIL
3
CHEPTIRET
3
CHEPTIRET IN UASIN GISHU
1
CHEPTIRET VILLAGE
1
CHEPTUIYET
7
CHEPTULI IN SABATIA
2
CHEPYAKWAI
1
CHERANGANI
1
CHERENGANYI
1
DONYONGARIA-KOSIRAI DIVISION
1
EISERO
4
EISERO KAPSAGA LOCATION
1
ELDAMA RAVINE
2
ELDORET
18
ELDORET POLICE REMANDS PRISON
1
ELDORET TANNING
1
ELDORET TOWN
7
EMBU
1
EMDIN SUB-LOCATION
1
EMGWEN
1
EMULORE VILLAGE IN KAKAMEGA
1
HILL SCHOOL ELDORET
2
HOMABAY
1
IN PARENTS COMPOUND CHEPKIT
1
ISHITU
1
ISIOLO
1
ITEN
1
ITIGO
14
ITIGO CENTRE
2
ITIGO VILLAGE
1
KABIRSANG-NANDI HILLS
2
KABIYET
7
KABIYET CENTRE
2
KABIYET RD KIPSIIYWA SIRONOI
1
KABONGWA
1
KABONGWA VILLAGE
1
KABUNYERIA
4
KABUSON IN ZIWA
1
KAIBEIYO
3
KAIBOI
5
KAIBOI HOLY TRINITY SEC SCHOOL
1
KAIMOSI
3
KAKAMEGA
6
KAMALAMBU
10
KAMATARGUI
8
KAMBILI(KAKAMEGA)
1
KAMOBO
2
KAMOBO VILLAGE
1
KAMOIYWO
1
KAMONJIL
13
KAMOYWA VILLAGE
1
KAPCHAN TUNNING IN UASIN GISHU
1
KAPCHELUCH VILLAGE
2
KAPCHEMOIYWO IN KAPSABET
1
KAPCHEMOYWO
1
KAPCHEMYWO-LIVING WITH SPOUSE
1
KAPCHEREREN
1
KAPCHUMO VILLAGE
2
KAPCHURIA VILLAGE
1
KAPIRSANG-KILIBWONI LOCATION
1
KAPISAKA VILLAGE IN NANDI
2
KAPKAKARON VILLAGE
1
KAPKAKARON VILLAGE IN SIGOT
1
KAPKANGANI
2
KAPKEBEN
1
KAPKECHUI
1
KAPKETEMI
4
KAPKIBIMBIR
5
KAPKONGONY
4
KAPKONJUSMOI
2
KAPLAIN BELEKENYA
1
KAPNGETICH
2
KAPNGETUNY VILLAGE
1
KAPNO
6
KAPNYAMISA
2
KAPRER IN ALDAI
1
KAPSABET
4
KAPSABET KAPYAGAN
2
KAPSABET REMAND PRISONS
1
KAPSABET TOWN
1
KAPSABET-KAPMATARGUI
1
KAPSABET-SIRONOI
2
KAPSAGA KABIYET
2
KAPSAGA(KABIYET)
2
KAPSARET
3
KAPSASUR
4
KAPSERET
5
KAPSERET CENTRE
7
KAPSERGALI
1
KAPSERGALI VILLAGE IN SIGOT
7
KAPSISIYWO
2
KAPSOEN
9
KAPSOSIO
1
KAPTABONGEN
4
KAPTABONGEN VILLAGE-KAPSABET
1
KAPTAGAT
2
KAPTEL
2
KAPTELDON
5
KAPTELDON CENTRE
4
KAPTIL VILLAGE
1
KAPTILDIL
2
KAPTUKTUK
2
KAPTUMO
4
KAPTUMOO
1
KAPYAGAN
1
KAPYEMIT
1
KAPYESHI VILLAGE KURGUNG
4
KERICHO
4
KESSES
3
KHALOMBOVE
2
KHISA
4
KIBIKOBE
2
KIBIMBIR IN KOSIRAI DIVISION
1
KIBOMET IN KITALE
1
KILIBWONI
1
KILIBWONI-NAPKOI
1
KILIBWONI-NAPKOI ROAD
1
KIMALEL
2
KIMINDA
4
KINGWAR VILLAGE
1
KIPKABUS
2
KIPKAREN
1
KIPKAREN SELIA
1
KIPKORIOMY VILLAGE IN LELMOKWO
1
KIPKORIONY VILLAGE IN LELMOKWO
1
KIPKOROR PRIMARY SCHOOL
2
KIPNGERU VILLAGE
1
KIPSAMOYTE
1
KIPSIMO VILLAGE
2
KIPTULE
1
KIPTURE
2
KIRINYAGA
2
KISII
1
KISII TOWN
2
KISUMU
2
KISUMU TOWN
1
KITALE
7
KITALE TOWN
2
KOIGARO VILLAGE
1
KOKWET
5
KOLONGET
1
KONDELE
1
KORMAET
5
KOSIRAI
2
KOSIRAI LOCATION
1
KOSIRAI MASAN VILLAGE
2
KOSIRAI NEAR KOSIRAI HIGH SCH
1
KOSIRAI VILLAGE
2
KUNURTER
5
LAMU
2
LELBOINET
7
LELMOKWO
3
LELMOKWO KOIGARO VILLAGE
1
LELMOKWO VILLAGE
2
LELWAK
2
LEMOK
2
LESSOS
20
LIVE WITH GRANDMUM IN KIPNGERU
1
LIVE WITH ID 01
3
LIVE WITH PARENTS IN CHEMUSWA
1
LIVES IN ELDORET
1
LIVES IN KAKAMEGA
1
LIVES WITH GRANDPARENTS-SANIAK
1
LIVES WITH HIS UNCLE IN BUSIA
1
LIVES WITH PARENTS IN SANIAK
1
LIVES WITH UNCLE - NANDI HILLS
1
LIVING WITH PARENT IN MOSORIOT
1
LIVING WITH PARTNER-BELEKENYA
1
LIVING WITH RELATIVE IN KARLEL
1
LIVING WITH THE UNCLE IN KSM
1
LOCHIN VILLAGE
1
LODWAR
1
LOLISHO
2
LOLISHO VILLAGE
2
LUGARI
2
MARANJAU
1
MASABA
1
MASABA VILLAGE
2
MATEGET GAA
6
MEREWET
1
METEITEI
1
METETEI
1
MLANGO
3
MOCHONGOI
1
MOGOGET VILLAGE
1
MOGOIYWET
2
MOGONG
1
MOGOYWET
1
MOI'S BRIDGE
3
MOIBEN
1
MOIBEN DIVISION
1
MOISBRIDGE UG
1
MOMBASA
11
MOSORIOT
2
MOSORIOT CENTRE
3
MOSORIOT VILLAGE
1
MOVED TO KAPNYAMISA VILLAGE
1
MOVED TO LIVE WITH SPOUSE
1
MT ELGON
1
MT. ELGON
1
MURUTO
2
MUTWOT
1
MUTWOT CENTRE
1
MWEIN
1
NAIROBI
23
NAKURU
4
NANDI HILLS
4
NANDI HILLS GOLF CLUB
1
NANDI HILLS KIBUKWA
1
NANDI HILLS KIBUKWO
1
NANDI HILLS TEA ESTATE
1
NANDI SOUTH
1
NANYUKI
1
NDALAT
2
NDAPTABWA VILLAGE
2
NDONYONGARIA
5
NDONYONGARIA EAST
1
NDUBENETI
2
NDUBENETI VILLAGE
1
NDULELE
1
NDUNGULU
1
NDURIO IN ALDAI
1
NEAR ALDAI SEC SCHOOL
1
NEAR NDAPTABWA PRIMARY
1
NEAR SANGALO PRIMARY
1
NEIGHBOURHOOD
1
NEIGHBOURING VILLAGE
1
NGECHEK
7
NGECHEK NEXT TO HH 727
1
NGECHEK SCHOOL
1
NGECHEK SECONDARY SCHOOL
2
NGERIA
1
NJORO
1
NORTH EASTERN KENYA
1
OL-KALOU
1
OLOMOTIT VILLAGE
2
OLOMOTIT VILLAGE-NANDI HILLS
1
ONDERIT
6
OPERATES DUKA IN LESOS
1
SAME VILLAGE
10
SANGALO
2
SANIAK VILLAGE
1
SEBETET VILLAGE
1
SEGUT
9
SEGUT VILLAGE
6
SEGUT-KOSIRAI
1
SELIA
1
SEREM
2
SHAMAKHOKHO
2
SHE IS IN KIPNGERU
1
SHE MOVED TO DONYONGARIA
1
SHINYALU KAKAMEGA
1
SIGALAGALA IN KAKAMEGA
1
SIGOT
4
SIGOT (SAME COMPOUND)
2
SIGOT LOCATION
1
SIGOT VILLAGE
2
SIGOWET VILLAGE IN UASIN GISHU
1
SIGOWET VILLAGE UASIN GISHU
1
SIKSIK
2
SIMAT
2
SIRIKWA CENTRE
2
SIRONOI
2
SIRONOI KAPSABET LOCATION
1
SOI
1
SOY - UASIN GISHU
1
STAYS WITH BROTHER IN KERICHO
1
STAYS WITH BROTHER IN LITEIN
1
TACHASIS
1
TAMBOIYO
2
TAMBUIYWO
1
TARAKWA
2
TEBESON
7
TELDET
2
TERIGE SCHOOL
3
THIS VILLAGE
1
TINDIRET
4
TIRONIN
1
TUIYO
4
TUIYO FARM
1
TUIYO IN UASIN GISHU
2
TULON
1
TUNGURURWET
1
TURBO
3
TURBO CENTRE
1
U.S.A
2
UASIN GISHU
5
UASIN GISHU CHEPKOILEL
1
UASIN GISHU-KAPSERET
1
UASIN-GISHU
2
VIHIGA KHALOMBOVE
1
WITH GRANDMOTHER-SAME VILLAGE
1
ZIWA
7
ZIWA CENTRE
1
ZIWA(UASIN GISHU)
1
_merge representing hhrostersection4B
884
0
1
884
884
0
3
884
Household ID
Household ID
1885
0
Respondent ID
Respondent ID
1885
0
Individual roster done
1885
0
1
Yes
1885
2
No
0
Household ID
Household ID
1885
0
Respondent ID
Respondent ID
1885
0
Respondent name
Respondent Name
1885
0
ABIGAEL RONO
1
ABIGAEL RUTTO
2
ABRAHAM CHEPKWONY
2
ABRAHAM KIPCHUMBA
1
ABRAHAM TENAI
2
AGNES BETT
2
AGNES CHEPKWONY
3
AGNES MUENI KEMBOI
2
AGNES TANUI
2
ALEX TANUI
1
ALFRED BIRGEN
3
ALFRED NGETICH
1
ALFRED RONO
2
ALI KETER
1
ALICE AJEMA CHOGO
2
ALICE CHEPKEMEI
3
ALICE JERONO
4
ALPHINA JEMESUNDE
3
ALPHINA KOROS
1
AMBROSE BIRECH
1
AMBROSE KETER
4
AMBROSE MUTAI
1
AMOS BIWOTT
3
ANDREW KECHIKEI
3
ANDREW KERING
4
ANDREW KIPLAGAT
4
ANGELINE KEINO
2
ANGELINE RONO
1
ANN AMBEJE
2
ANN BARNO
2
ANN CHEBASA
3
ANN CHEBOI
2
ANN CHELAGAT KEMEI
2
ANN J. CHERUIYOT
2
ANN JEBICHI
1
ANN KERING
2
ANN KETER
1
ANN KORIR
1
ANN MOROGO
2
ANN PIUS KWAMBOKA
2
ANN RANDICH
2
ANN RONOH
2
ANN TUWEI
2
ANNA JEPKEMBOI MUGUN
4
ANNA TARUS
2
ANNAH CHERUIYOT
2
ANNE JEROP MOSBEI
1
ANNE JESANG
1
ANNE KEBENEI
2
ANNE KEMEI
5
ANNE LAGAT
1
ANNE MAINA
1
ANTONY SANG
2
ARAP CHERUIYOT
1
ARAP KOGO KIPKOECH
1
ARNODAH TANUI
2
ASHA HASSAN
1
ASHA JELAGAT TANUI
4
ATANUS TENAI
1
AUGUSTIN KISARION
4
AZIZ KETER
1
BARMOS CHIRCHIR K
2
BARNABA SITIENEI
1
BARNABAS KEMBOI
2
BARNABAS ROTICH
2
BEATRICE A OMONDI
1
BEATRICE KOSGEI
1
BEATRICE TOO
4
BEN KOSGEI
3
BEN TUWEI
2
BENDICTOR CHEPKIRONG
1
BENDICTOR JEPTANUI
1
BENJAMIN MISOI
1
BERECH MAIYO
4
BERNARD MAHINDI
1
BETINA BUSIENEI
2
BETSY TOGOM
1
BORNES JELAGAT
2
CALEB OPUNDO
1
CAROLINE CHERONO
3
CAROLYNE CHEPKOSGEI
3
CAROLYNE KEMBOI
1
CAROLYNE KOSGEI
2
CAROLYNE MUREI
2
CAROLYNE TOO
2
CATHERINE CHEPSIROR
6
CATHERINE CHERUIYOT
1
CATHERINE CHERUTO
3
CATHERINE MISANGO
1
CECILIA BIRGEN
1
CECILIA SANGA
2
CELESTINE TAIGOR
1
CHAUSIKU KIBIBI
1
CHEBOO CHERUIYOT
1
CHEMASAYA MITEI
1
CHEROP MOSO
1
CHRISTINA BIRECH
1
CHRISTINE BIRECH
3
CHRISTINE J. BET
5
CHRISTINE KEBENEI
3
CHRISTINE KEINO
3
CHRISTINE KEMBOI
1
CHRISTINE KENNEI
3
CHRISTINE KILLI
4
CHRISTINE KIRUI
4
CHRISTINE MAIYO
3
CHRISTINE MUREI
1
CHRISTINE SAMBU
1
CHRISTINE SEREM
1
CHRISTINE SITIENEI
2
CHRISTINE TARUS
1
CHRISTOPHER SEREM
1
CLARA KESSIO
1
CLEMENT KOSGEI
2
CLEMENTINA BEGCHIBE
1
CLEMENTINE SANG
2
CLEOPHAS K METTO
1
CONSOLATA TUM
3
CONSTANTINA JEMASUND
1
CONSTANTINA ROTICH
1
CONSTANTINE JERONO
1
COSMAS K. KEBENEI
1
DAMARIS JEPTOO B
1
DAMARIS MITEI
1
DANIEL BIWOTT
3
DANIEL K. TANUI
3
DANIEL KIPSEREM R
1
DANIEL MAIYO
3
DANIEL MARITIM
1
DANIEL MUREI
2
DAVID C CHOGO
1
DAVID CHIRCHIR
1
DAVID K KEMBOI
7
DAVID KETER
1
DAVID KITTUR RUTO
1
DAVID KOECH
2
DAVID LETING
5
DAVID MACHKHIM
1
DAVID MUTAI
1
DAVID SIRTICH ASENGA
2
DAVID T TIROP
2
DAVID YEGO
1
DAVINA JEPKORIR
1
DIFINA KEINO
2
DINAH BARNO
2
DINAH CHERUIYOT
2
DINAH KEMEI
2
DINAH KIRUI
2
DINAH KORIR
3
DINAH SAMOEI
3
DIVINA CHUMBA
2
DOMINIC SIGILAI
1
DORCAS CHEPKASI C
4
DORCAS CHOGE
1
DORCAS KETER
1
DORCAS KOECH
1
DORCAS KOSGEI
6
DORCAS METTO
1
DORCAS RUTTO
1
DORCAS TUWEI
1
EBBY KAHANDI
1
EDITH LAMAI
2
EDITH MBAYA
1
EDNAH ROTICH
4
EDYNA METTO
3
ELIJA KEMEI
2
ELIJA KIRUI
1
ELIKANA NGELECHEI
2
ELISHA KIPKORIR
1
ELISHEBA BEREI
1
ELIUD K TUWEI
2
ELIUD KETER
3
ELIUD KIPCHIRCHIR
2
ELIUD KOECH
1
ELIUD KOSGEI
1
ELIUD MELI
3
ELIUD SOIMO
5
ELIZABETH BOEN
3
ELIZABETH KEMBOI
2
ELIZABETH KITUR
3
ELIZABETH KOSGEI
3
ELIZABETH LANGAT
2
ELIZABETH MARU
1
ELIZABETH MISOI
4
ELIZABETH NGENY
1
ELIZABETH NGETICH
3
ELIZABETH ROTICH
1
ELIZABETH RUGUT
2
ELIZABETH SHIVAIRO
2
ELIZABETH TARUS
1
ELIZABETH TIROP
4
ELKANA METTO
1
ELPHAS KORIR
3
ELPHAS SAUREI
1
ELSEBA MAGUT
1
EMILY BIRECH
4
EMILY BITOK
1
EMILY CHEPKORIR
3
EMILY CHEPKURUI
2
EMILY CHIRCHIR
1
EMILY J. LAGAT
3
EMILY JELAGAT
3
EMILY JEPTOO SERSER
1
EMILY KEMBOI
1
EMILY KEMEI
2
EMILY KIRWA
3
EMILY KOECH
1
EMILY MARU
1
EMILY MENJO
1
EMILY NGETICH
1
EMILY ROTICH
2
EMILY SANG
3
EMILY SAUREY
2
EMILY SEUREI
2
EMILY TOO
2
EMILY TUWEI
1
EMMY BIRGEN
3
EMMY KEMEI
6
EMMY KITUR
2
EMMY TALAM
4
ERIC BOR
2
ERMAH CHIRCHIR
1
ERNEST LEL
1
ESTHER BERECH
1
ESTHER BOS
1
ESTHER CHELAGAT
1
ESTHER CHEMELI
1
ESTHER CHEPKOGEI K
3
ESTHER CHEPKWONY
2
ESTHER CHIRCHIR
1
ESTHER CHOGE
1
ESTHER JEROTICH
2
ESTHER KEBENEI
3
ESTHER KEINO
1
ESTHER KOGO
3
ESTHER LAGAT
4
ESTHER RONO
2
ESTHER SAWE
2
ESTHER SOGUT
1
ESTHER TANUI
1
ESTHER YEBEI
2
EUNICE C TUWEI
1
EUNICE CHEPKWONY
1
EUNICE JEPKOECH B
4
EUNICE LAGAT
1
EUNICE MUTAI
2
EUNICE NGETICH
1
EUNICE ROTICH
2
EUNICE SANGA
4
EUSILAH CHEPTOO
1
EUSILAH LAMAI
2
EVALINE CHEPKWONY
2
EVALYN BOR
4
EVALYN C TANUI
7
EVALYN CHEPKWONY
1
EVALYN MULWO
1
EVALYN MUREI
1
EVALYN TIONY
3
EVALYN TIROP
3
EVERLINE CHEPKEMBOI
1
EVERLINE SAWE
3
EVERLYNE CHEPKWONY
3
EVERLYNE JAMENYA
1
EVERLYNE KAINGA
2
EVERLYNE KEMBOI
1
EVERLYNE KIPSANG
2
EVERLYNE KOECH
1
EVERLYNE KOMURGOR
1
EVERLYNE KOSGEI
2
EVERLYNE MENGICH
2
EVERLYNE ONGAYA
1
EVERLYNE RONO
2
EZEKIEL CHEPKWONY
1
EZEKIEL KETTER
2
EZEKIEL KIPLAGAT K
2
FAITH KETER
1
FESTUS BITTOK
1
FLOMENA KETER
1
FLOMENA RUTTO
1
FLORA MISOI
2
FLORAH BITOK
1
FLORAH KIRIOR
1
FLORENCE KOGEI
1
FLORENCE MAHINDI
2
FLORENCE MARITIM
2
FRANCIS CHUMO
1
FRANCIS KIMAIYO
3
FRANSISCA KOECH
6
FRED YEGO
1
GASPER SIRMA
1
GEOFREY MUREI
2
GEORGE K. NGETICH
1
GIDEON K KOSGEI
1
GIDEON KEMEI
1
GIDEON TUWEI
2
GILBERT BITOK
1
GILBERT KIMUTAI
1
GILBERT MUTAI
2
GITAU BERNARD
1
GLADYS KOSGEI
2
GLADYS NEKESA
4
GLADYS SHITINYA
1
GRACE BOR
1
GRACE CHEPKORIR RONO
2
GRACE CHEROTICH M
1
GRACE KEINO
1
GRACE KERICH
2
GRACE KHAVERE
1
GRACE KIRWA
3
GRACE MELI
1
GRACE SIGILAI
2
HAMISI ROTICH
3
HANNAH NALIAKA
2
HARON SITIENEI
1
HELLEN BARAIWO
4
HELLEN C. MAGUT
2
HELLEN CHEBET
2
HELLEN CHEPKONY
1
HELLEN CHEROTICH
1
HELLEN J RUGUT
1
HELLEN J TARUS
1
HELLEN JEBET KETER
1
HELLEN JEPKEMBOI R
1
HELLEN JEPKINYOR A
3
HELLEN JEPNGETICH
1
HELLEN KISARION
2
HELLEN KISORIO
4
HELLEN KOGO
1
HELLEN MAIYO
1
HELLEN MELI
4
HELLEN SINGOEI
2
HELLEN TOO
3
HELLEN YEGO
3
HENRY BII
1
HENRY CHEPKWONY
1
HENRY KIRWA KOECH
2
HENRY KOLLUM
2
HENRY SUGUT
1
HENRY TAIGOR
4
HENRY TENAI
1
HEZEKIA O ODONGO
2
HEZEKIAH TABUT
2
HEZEKIEL KIPTANUI
1
HEZRON AMBEJE
3
HILLARY MELI
3
HILLARY SUGE
2
HOSEA KOSGEI
2
HOSEA TEK
1
IBRAHIM KOSGEI
2
IRENE BUSIENEI
3
IRENE CHELEL TIO
1
IRENE CHEPCHUMBA
4
IRENE CHEPTOO
2
IRENE LETTING
2
IRENE MOSO
1
IRENE TOO
6
ISAAC K. KESSIO
1
ISAAC KIPKOLUM TOO
6
ISAAC KIPLAGAT SAWE
1
ISAAC KOGO
2
ISAAC LAGAT CHESONI
2
ISAAC RAMARU
4
ISAAC TABUT
2
ISCAH J. TOO
2
ISIAH TOO
3
JACKLINE BITOK
1
JACKLINE JEPKEMBOI
4
JACKLINE TENDENEI
2
JACKSON ARAP KATAM B
1
JACKSON KEMEI
3
JACKSON KITUR
5
JACKSON SAINA
1
JACKTONE AJUKU
2
JACOB CHUMO
2
JACOB TOGON
4
JAMES CHUMBA
1
JAMES KORIR
5
JAMES LAGAT
2
JAMES LETTING
1
JAMES MOSONIK
3
JAMES RUTTO
1
JANE A JEBOR
2
JANE ADHIAMBO ODIPO
1
JANE CHEPSIROR
4
JANE CHEROTICH
2
JANE CHERUIYOT
2
JANE CHOGE
2
JANE JEMUTAI
2
JANE KEINO
1
JANE KESSIO
3
JANE KOECH
3
JANE KOGO
1
JANE LAGAT
4
JANE MAIYO
2
JANE MALEMBA
1
JANE MAMISU
1
JANE MELI
1
JANE MISOI
1
JANE MUREI
3
JANE ROTICH
3
JANE SEREM
7
JANE SIELEI
1
JANET LAGAT
2
JANET RONO
1
JANET SEUREI
1
JANET VINNAYU
4
JAPHETH OMUOMA
3
JAPTER MAGUT
2
JELILI JOHNESE
3
JEMELI BURGO
1
JENIFFER LIMO
2
JENIPHER NGETICH
5
JENNIFER SEUREI
2
JOAN LELEI
1
JOAN MUTWOL
1
JOAN SUGE
2
JOEL K MWEI
1
JOEL KEBENEI
1
JOEL KIMELI LAGAT
2
JOEL TANUI
1
JOHN K. KOSGEI
1
JOHN KEMEI
2
JOHN KIPKEMBOI MELI
1
JOHN KIPKORIR B
1
JOHN LAGAT
2
JOHN MUGALLA
1
JOHN NGENY KIRWA
1
JOHN ROTICH
2
JOHNSON OCHOGO
1
JONA SUGUT
1
JONAH KIPTABOT YEGO
1
JONAH SEUREI CHERINY
3
JONATHAN KIPTOO
1
JOSEPH B KIPKEMBOI
2
JOSEPH K SEREM
3
JOSEPH KETER
1
JOSEPH KOGO KEMBOI
2
JOSEPH LELEI
1
JOSEPH ONZERE
2
JOSEPH ORWA
1
JOSEPH OUMA
2
JOSEPH RONO
2
JOSEPH SUGUT
2
JOSEPHAT AMOSHE
1
JOSEPHINE KAVOGOI
1
JOSPHINE SEREM
4
JOYCE BUSIENEI
2
JOYCE CHEMIRMIR
2
JOYCE CHEPCHIRCHIR
1
JOYCE KUTTO
1
JOYCE ROTICH
2
JUDITH CHOGE
2
JUDITH JEPTANUI
2
JUDITH KETER
2
JULIA CHIRCHIR
2
JULIA COLLUM
1
JULIA JEMAIYO
3
JULIA KETER
3
JULIA KOGO
6
JULIA MISOI
1
JULIA MWEI
1
JULIANA KOSGEI
3
JULITER JEPCHIRCHIR
1
JULIUS KEMEI
2
JULIUS KILLI
1
JULIUS KIPKEMBOI K
1
JULIUS LAGAT
1
JULIUS NGETICH
2
JULIUS ROTICH
1
JULIUS TIROP
1
JULIUS TUWEI
3
JUMA KIPTANUI CHUMO
1
KIBET ROTICH
1
KIBIEGO D. CHEPSIROR
1
KIBIEGO RONO
3
KIBIEN KOGO
2
KIBIRGEN LELEI
3
KIMAIYO CHUMBA
2
KIMATIA BUSIENEI
2
KIMUTAI RUTO
1
KIMUTAI SAWE
1
KIPCHIRCHIR KEINO
1
KIPCHUMBA MOSO
3
KIPKEMBOI CHEBOI
2
KIPKEMEI RONO
3
KIPKEMEI SUGE
7
KIPKORIR KARONEY
2
KIPLAGAT BIWOTT
3
KIPLEL KORIR
4
KIPLIMO KIYOS
1
KIPROP A MAIYO
3
KIPROTICH MISOI
2
KIPRUGUT BUSIENEI
1
KIPSANG TUM
1
KIPSUGE LAGAT
1
KIPTARBEI KECHIKEI
2
KIPTARBEI KETER
1
KIPTOO KOSGEI
1
KIPYEGO MUTAI
1
KIRWA BUSIENEI
1
KOBOT KITONGO
1
KORI CHUMO
1
KOSGEI LIMO
2
LABAN BAIYWA
1
LAMECK K MUIGEI
2
LEAH CHEPKWONY
2
LEAH JEPKOSGEI YEGO
1
LEAH KILI
2
LEAH KOECH
2
LEAH KORIR
2
LEAH LUGUI
2
LEAH RUGUT
4
LEAH SANG
1
LEAH SITIENEI
2
LENA J TOO
4
LENA TOO
1
LENAH CHEPKWONY M
1
LENAH LAGAT
1
LENAH NYOGOSEI
3
LILIAN AGUI
1
LILIAN BIWOT
3
LILIAN CHEPSIROR
3
LILIAN KEMBOI
2
LILIAN KOGO
3
LILIAN KUTO
3
LILIAN SHEMSE
1
LILIAN TUWEI
4
LILY MWEI
1
LINAH ROTICH
1
LINET MAGUT
8
LINUS BERECH
4
LINUS KIPTANUI
2
LOICE ARUSEI
3
LOICE JEROP LANGAT
4
LOICE KOGO
2
LUCIA ONYANCHI
1
LUCINAH TANUI
2
LUCY A OMINDE
1
LUCY CHEPKOECH
4
LUCY JEMUTAI
1
LUCY METTO
1
LUCY NGETICH
5
LUCY TUWEI
4
LUDIA KEROR
4
LUKA KIPWAMBOK
1
LUKA TARUS
1
LYDIA BITOK
3
LYDIA KHAVERE
2
LYDIA KURGAT
1
MAGDALINE KOGO
1
MARCELLAH CHEMELI
1
MARCELLAH ROTICH
2
MARCELLAH SITIENEI
3
MARGARET C. OTIENO
1
MARGARET KOSGEI
4
MARGARET LIKHAME
4
MARGARET MUCHERA
1
MARGARET SABOI
2
MARGARET SAINA
2
MARGRINA TANUI
1
MARK LAGAT
2
MARTHA BIWOT
1
MARTHA JEPLETING
3
MARTHA MASWAI
3
MARTHA MELI
5
MARTHA ROTICH
2
MARTHA SINGOEI
2
MARY BETT
1
MARY BIRECH
2
MARY JELAGAT
1
MARY JEROP
1
MARY KEMEI
3
MARY KIRUI
1
MARY KUTO
1
MARY MANDAGO
1
MARY MARU
2
MARY MUREI
1
MARY NGENY
5
MARY ROTICH
3
MATILDA TOGOM
1
MERCY MELI
2
MERCY TARUS
2
MESHACK MAGUT
1
METHUSELA KENNEI
4
MICAH MELI
4
MICHAEL KIRWA
2
MICHAEL TUWEI
2
MILCAH KETTER
3
MILCAH KITUR
3
MILCAH LETTING
2
MILCAH TOO
2
MILDRED MUHONJA
2
MILKA CHEPKOROS K
3
MILKA JEBET
2
MILKA JEMESUNDE
4
MIRIAM J OMONDI
1
MIRIAM KIRWA
2
MIRIAM MELI
3
MIRIAM TENAI
4
MIRRIAM LAGAT
1
MISEAL TANUI
4
MOHAMED K. CHEPKWOI
1
MONICA CHELAGAT
2
MONICA J. TOROITICH
1
MONICA KEMBOI
2
MONICA KESSIO
1
MONICA KOECH
2
MONICA LIMO
2
MONICA METTO
1
MONICA MUTAI
2
MONICA TENAI
2
MONICAH BITOK
2
MONICAH JEMINING
1
MONICAH MAGUT
1
MOROGO BOIS
1
MUSA BIRECH
1
MUSA KIPLIMO
1
MUSA N IKUMERO
1
NAIMA CHEPCHUMBA
1
NANCY CHUMBA
2
NANCY KURGAT
1
NANCY LAGAT
2
NAOMI LIMO
2
NAOMI MISOI
1
NDEGE ROP
1
NELLY KOSGEI
1
NELLY ROTICH
2
NELLY SINGOEI
1
NELLY SUM
4
NELSON K KOSGEI
1
NELSON KURGAT
1
NICHOLAS BOR
1
NICHOLAS K KEMEI
2
NICHOLAS NGETICH
3
NIVA KHABELE
1
NOAH KORAS
1
NOAH LIMO
3
NOAH NGETICH
4
NOAH SANGA
1
OMAR KIPRUTO
1
ORPAH SUGUT
3
PAMELA KOECH
5
PAMELA MBITI
1
PASLISA TIROP
2
PATRICE KOECH
2
PAUL AMALEMBA
3
PAUL BARNO
1
PAUL BIRGEN
3
PAUL CHELULE
2
PAUL KOGO
3
PAUL MOROGO
3
PAUL TANUI
1
PAULINA MAIYO
3
PAULINA MATUTU
1
PAULINE BUSIENEI
4
PAULINE CHELULE
3
PAULINE CHERUIYOT
1
PAULINE JEPTOO
3
PAULINE KATAM
2
PAULINE MAIYO
1
PAULINE MUREI
1
PAULINE NGELECHEI
1
PAULINE RONO
3
PAULINE SITIENEI
2
PERIS BOIS
4
PERIS SUGUT
2
PERO MELI
1
PETER K CHIRCHIR
1
PETER ONYANGO
1
PETER SAGARO
1
PETER SIMATEI KORIGO
1
PETER TUWEI
7
PHIBIAN SERONEI
2
PHILEMON KEMBOI
2
PHILEMON KOGO
1
PHILEMON MUGE
2
PHILIP MAIYO
1
PHILLIP BUNDOTICH
1
PHOEBE METTO
1
PIUS KIPKOECH KEMBOI
1
PIUS TALAM
1
PRICILLAH BETT
1
PRISCA BIRGEN
2
PRISCA BOR
1
PRISCA KIYOS
5
PRISCA RUTTO
1
PRISCAH CHEROP
2
PRISCAH KERICH
1
PRISCAH KETER
2
PRISCAH MUGE
4
PRISCILAH CHERUIYOT
2
PRISCILAH LEL
6
PRISCILLA J SUM
2
PRISCILLA KOSGEI
2
PRISCILLA LELEI
5
PRISCILLA MISOI
2
PRISCILLAH BETT
2
PRISCILLAH CHEPKEMEI
1
PRISCILLAH CHEPSIROR
3
PRISCILLAH KISASAN
1
PRISCILLAH LAGAT
3
PURITY JEROTICH
2
RACHAEL JEPKIENY
5
RACHAEL KOGO
1
RAEL BIRGEN
2
RAEL BIWOTT
1
RAEL CHERUTO TANUI
1
RAEL JELAGAT SIMATWA
3
RAEL JEPKEMBOI
1
RAEL JEPTOO KAPTICH
2
RAEL JERONO
1
RAEL KOECH
4
RAEL LELEI
2
RAEL LELMENGIT
1
RAEL MAIYO
4
RAEL MUREI
4
RAEL TANUI
1
RAEL TEGAT
3
RAEL TUWEI
4
RAYMOND SUGUT
1
REBBY RUTTO
2
REBECCA KOSGEI
2
REBECCA LELEI
1
REBECCA SAMOEI
1
REBECCA SUGUT
3
REBECCA TENAI
1
REBECCAH J SAMOEI
4
REGINA BOR
1
REGINA SAMBU
1
REGINA TAIGOR
4
REUBEN METTO
1
RHODA ARUSEI
3
RHODA SAINA
1
RHODA SUGE
2
RHODA SUM
2
RHODAH JELAGAT K
1
RHODAH KOGO
3
RHODAH SINGOEI
2
RICHARD KEMBOI
1
RICHARD LAMAI
1
RICHARD SANGA
1
RINAH KENDI AGESA
2
RISPER CHEPKWONY
1
RISPER KOGO
2
ROBERT MUTAI
2
RODAH BITOK
2
RONALD C KIBIWOT
3
ROSA J TANUI
2
ROSA MISOI
1
ROSALINE JEPKORIR
1
ROSALYNE TIROP
1
ROSBELA TOO
3
ROSE BAIYWA
3
ROSE CHEMELI C
3
ROSE CHEPCHIRCHIR
2
ROSE JEPKOECH NGETIC
1
ROSE JERONO
2
ROSE LEITICH
1
ROSE LIMO
1
ROSE MARU
2
ROSE MELI
1
ROSE MISOI
3
ROSE MMBONE MUSETI
4
ROSE MUREI
1
ROSE RAMARU
2
ROSE SIRMA
3
ROSE TALAM
1
ROSEBELLA CHELAGAT
3
ROSELINE NANJALA
5
ROSELINE ROP
1
ROSELYNE KITUR
2
ROSELYNE KOECH CHOGE
1
ROSELYNE LEL
1
ROSEMARY BWAMBOK
1
ROSEMARY GATHONI
1
RUKIA G. YUSUF
1
RUTH JELAGAT MWEI
1
RUTH KARAN
1
RUTH KERICH
3
RUTH KORIR
1
RUTH MWIHAKI
1
RUTH NGETICH
1
RUTH RONO
2
RUTH TANUI
1
SABINA KIRIOR
1
SALINA C ROTICH
2
SALINA RONO
1
SALINA SAINA
2
SALLY KOLUM
1
SALLY LAGAT
2
SALLY MISOI
2
SALLY NGETICH
1
SALOME BII
3
SALOME KEMBOI
2
SALOME MUTAI
1
SAMMY BARORET
2
SAMMY K BUTIA
2
SAMMY KIRWA
3
SAMMY KOSGEI
2
SAMMY LAGAT SAMBU
1
SAMMY MAGUT
2
SAMPSON NYONYI
4
SAMSON ONYANGO ADERO
2
SAMUEL ARUSEI
2
SAMWEL K. KIPKEU
1
SAMWEL KEINO
1
SAMWEL LELMENGIT
2
SAMWEL MALAKWEN
1
SAMWEL MATUTU
2
SAMWEL MELI
2
SAMWEL METTO
1
SARAH AKUMU
1
SARAH BITOK
2
SARAH CHELULE
1
SARAH CHELULEY
2
SARAH CHEPKEMBOI
4
SARAH CHEPKWONY
1
SARAH CHEPSIROR
2
SARAH CHEROP
1
SARAH J KEMBOI
3
SARAH JEPTOO
2
SARAH JERUTO SIROREI
1
SARAH KEINO
1
SARAH KORIR
1
SARAH KOSGEI
3
SARAH LELEI
2
SARAH MAGUT
3
SARAH MAIYO
2
SARAH MELI
3
SARAH NGENY
4
SARAH SANG
1
SARAH SITIENEI
2
SARAH TABUT
2
SAWE KUTTO
1
SCOLAH JEPTOO
1
SELINA JEPKINYOR R
4
SELINA MELI
5
SELINA MUREI
3
SELINA MUTAI
4
SELINA NGETICH
2
SELLAH SANG
1
SELLY CHOGE
1
SELLY J MUGE
3
SELLY KEMBOI
2
SELLY KOSGEI
2
SELLY LAGAT
2
SELLY MUTAI
2
SELLY SITIENEI
1
SELLY TIONGIK
1
SHADRACK KIBIRGEN B
2
SHADRACK LEITICH
3
SHADRACK LETING
1
SILAH LAGAT
1
SILAS MAIYO
2
SILVER ROP
1
SIMION RONO
2
SIMION TARUS
1
SIMON TARUS
3
SIVILINA KOSGEI
5
SOLOMON SITIENEI
2
SOME MUREI
1
SOPHIA MWEI
5
SOSPETER OLWENY
2
STANLEY CHERUIYOT
1
STELLA KARONEI
1
STELLA LAGAT
3
STELLAH ROTICH
4
STEPHEN K SITIENEI
1
STEPHEN KIMELI KOECH
1
STEPHEN LAGAT
1
STEPHEN TOGOM
2
SUSAN CHEMELI CHUMO
3
SUSAN CHEROTICH K
1
SUSAN JEBICHII
1
SUSAN KINYANJUI
1
SUSAN KOSGEI
1
SUSAN SULUNYI
2
SYLUS KORIR
1
SYLVESTER SULUNY K
2
TECLA J KIRWA
1
TECLA JEBOR
1
TECLA JEROP ROTICH
1
TECLA KOSGEI
2
TECLA MISOI
3
TECLA MUTAI
1
TECLA SANG
1
TERESA KEMBOI
1
TERESA KOGEI
1
TERESA MUTAI
3
TERESA SIGILAI
3
TERESA TANUI
3
THEODORA LIETA
1
THEOPHILUS ROTICH
3
THOMAS KARONEI
1
THOMAS KERICH
3
THOMAS KETTER
2
THOMAS KIPROTICH K
1
THOMAS KIPTUM
3
THOMAS RONO
2
THOMAS S TANUI
2
TIMOTHY INDIAZI
5
TITUS NDUYWA
2
TRUFOSA BARTILE
3
TRUPHENA MALAKWEN
2
TRUPHOSA MUREI
1
URSILA KERICH
5
USILAH KOECH
3
VERONICA KEIYO
2
VERONICA MUTAI
1
VERONICA NDIKO
2
VERONICA SITIENEI
2
VINCENT ARAP MURGOR
1
VIOLA MAIYO
1
VIOLA MISOI
3
VIOLA RONGOEI
1
VIOLA YEGO
3
VIVIAN BIWOTT
1
VIVIAN J CHEPKWONY
1
VIVIAN KORIR
1
VIVIAN YEGO
2
WICKLIFF KERICH
1
WILLIAM BITOK
1
WILLIAM KIBET BITOK
1
WILLIAM KIPBWAMBOK
2
WILLIAM KIPKOECH K
2
WILLIAM KORIR
2
WILLINA SONGOK
1
WILLY KERING
1
WILLY KIBET
2
WILLY KIPTUM
2
WILLY KOLUM
2
WILLY RONO
1
WILLY SAWE
3
WILSON BIRGEN
1
WILSON KETER KIMELI
1
WILSON KIMETTO
3
WILSON KOGO
1
WILSON KORIR
4
WILSON KURGAT
2
WILSON LELEI
1
WILSON LETTING
2
WILSON ROP
1
WILSON TOO
3
WILTA KEMUNTO
1
ZAITUNI KETER
2
ZAPHARA CHEBET
1
ZECHARIA MWAZI
1
ZENA CHEPKOECH
1
ZIPPORAH KEINO
1
ZIPPORAH KOSGEI
2
ZIPPORAH ROTICH
4
ZIPPORAH TALAM
1
IRID members
1885
0
Line number
0
1885
IRID code
IRID Code
1885
0
Name of individual
Name of Individual
1885
0
Gender
Gender
1885
0
1
Male
865
2
Female
1020
Occupation
What is this person’s occupation?
1885
0
1
99
12.237
21.875
1
Crop farmer
676
2
Animal farmer
140
3
Housewife
233
4
Trader/merchant/salesperson
90
5
Transport worker
43
6
Construction worker
7
7
Teacher/education professional
120
8
Health professional/TBA/trad. Healer
32
9
Secretary/clerical
21
10
Factory worker
9
11
Restaurant/bar/hotel
16
12
Skilled trades (carpenter, tailor, etc.)
23
13
Preacher/pastor
18
14
Village elder
1
15
Domestic worker
8
16
Civil Servant/Government
161
17
Other (specify)
56
88
No activity/unemployed
73
99
Don’t Know
3
Occupation (Other)
What is this person's occupation? Other (specify).
55
0
How related to you
How is this person related to you?
1881
0
How related to you (Other)
How is this person related to you? Other (specify).
99
0
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 did you first meet this person?
1885
0
1
10
1
through spouse/spouse’s family
301
2
through family
751
3
through friend
433
4
through work
180
5
through church
132
6
through school
35
7
through bar/nightclub
6
8
through health facility
26
9
through group/organization (specify)
5
10
other (specify)
16
How met this person (Other)
How did you first meet this person? Other (specify).
15
0
How often talk to this person
How often do you talk to this person?
1885
0
1
98
3.295
3.093
1
daily
643
2
twice a week
197
3
once a week
306
4
every two weeks
108
5
once a month
336
6
every three months
140
7
every six months
52
8
once a year
79
9
less than once a year
19
10
dead
4
Where this person lives
Where does this person live?
1885
0
1
98
3.573
8.638
1
This village
849
2
This location
271
3
Kosirai Division
198
4
Nandi District (inc. Kapsabet)
250
5
Uasin-Gishu District (exc. Eldoret)
134
6
Eldoret
38
7
Kakamega
8
8
Kitale
15
9
Kisumu
11
10
Nakuru
4
11
Nairobi
28
12
Other urban area
19
13
Other rural area
32
14
Outside Kenya
13
1885
0
3
1885
Household ID
Household ID
2825
0
Respondent ID
Respondent ID
2825
0
Education module done
primary female respondent
2825
0
1
Yes
2825
2
No
0
Household ID
Household ID
2825
0
Respondent ID
Respondent ID
2825
0
Day of interview
Date of Interview. Day.
2825
0
Month of interview
Date of Interview. Month.
2825
0
Year of interview
Date of Interview. Year.
2825
0
Members between 6 & 25 years
2825
0
Members in Section 2:
2825
0
Members in Section 3:
2825
0
ID codes of all household members older than 6 year
The primary female respondent.
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.
0
2825
Members ID above 6 years
The primary female respondent.
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
0
Has ever attended school
The primary female respondent.
Has [NAME] ever attended or is he/she attending a school?
If answer is 2 > Go to 4 (qed04 - variable name in dataset).
All household members (old and new) between 6 and 25 and any new household members who are 25 years and older.
2808
17
1
Yes
2770
2
No
37
8
1
Sysmiss
17
Highest grade completed - Level
The primary female respondent.
What is the highest grade that [NAME] has completed? Level.
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
0
108
1
Nursery
1885
2
Primary
581
3
Secondary
184
4
Post-sec.
11
8
1
Sysmiss
55
Highest grade completed - Years
The primary female respondent.
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
The primary female respondent.
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
1942
2
No
660
8
9
Sysmiss
214
Can write a letter
The primary female respondent.
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
1857
2
No
743
8
11
Sysmiss
214
Can do mathematical calculations
The primary female respondent.
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
2490
2
No
110
8
11
Sysmiss
214
Has had any technical or professional training
The primary female respondent.
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
63
2
Professional
60
3
On-the-job
5
4
No
2677
8
2
Sysmiss
18
How many years of additional training - Year
The primary female respondent.
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
0
98
8.865
26.301
How many months of additional training - Months
The primary female respondent.
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
0
98
9.758
26.36
Line number
primary female respondent
All household members (old and new) who are between the ages of 6 and 25 as well as any other children in school.
0
2825
Sysmiss
2825
ID code
primary female respondent
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
The primary female respondent.
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
2160
2
No
634
8
1
Sysmiss
30
Attending the same school
The primary female respondent.
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
1740
2
No
397
3
Not in school last time
23
Sysmiss
665
Hours actually spend in school last week in total
The primary female respondent.
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
The primary female respondent.
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
1024
2
No
876
8
2
9
62
Sysmiss
861
Why did not attend school for normal hours last week
The primary female respondent.
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
82
2
Caring for sick family member
5
3
Working at home
6
4
Working outside home
0
5
Holiday(s)
624
6
Funeral/mourning
23
7
Non-payment of fees
54
8
Teacher missing
23
9
Other (specify)
50
98
12
99
1
Sysmiss
1945
Why did not attend (Other)
The primary female respondent.
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
0
Line number
0
2825
Sysmiss
2825
ID code
ID
2792
33
Attended school at all in 2005
The primary female respondent.
Was [NAME] enrolled in school at all in [PERIOD]?
If answer is 2 > Go to 4 (qed1a - variable name in dataset).
2792
33
1
Yes
2238
2
No
552
8
2
Sysmiss
33
In 2005: Days when did not attend school
The primary female respondent.
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).
2239
586
1
Yes
1492
2
No
721
9
26
Sysmiss
586
How many days did not attend school
The primary female respondent.
For how many days did [NAME] not attend school in [PERIOD], for reasons other than holidays?
[Number of days]
1494
1331
0
200
7.277
13.789
Attended school at all in 1st term 2006
The primary female respondent.
Was [NAME] enrolled in school at all in [PERIOD]?
If answer is 2 > Go to 7 (qed1d - variable name in dataset).
2790
35
1
Yes
2147
2
No
637
8
6
Sysmiss
35
In 1st term 2006: Days when did not attend school
The primary female respondent.
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).
2151
674
1
Yes
885
2
No
1249
8
5
9
12
Sysmiss
674
How many days did not attend school
The primary female respondent.
For how many days did [NAME] not attend school in [PERIOD]?
[Number of days]
890
1935
1
99
4.676
9.707
Attended school at all in 2nd term 2006
The primary female respondent.
Was [NAME] enrolled in school at all in [PERIOD]?
Go to next person.
If answer is 3 > End module.]]>
2790
35
1
Yes
1592
2
No
466
3
N/A
724
8
8
Sysmiss
35
In 2nd term 2006: Days when did not attend school
The primary female respondent.
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.
1597
1228
1
Yes
605
2
No
970
3
5
8
8
9
9
Sysmiss
1228
How many days did not attend school
The primary female respondent.
For how many days did [NAME] not attend school in [PERIOD]?
[Number of days]
605
2220
1
98
3.912
7.005
Household ID
Household ID
1383
0
Respondent ID
Repondent ID
1383
0
Education expenditure module
1383
0
1
Yes
953
2
No
430
Household ID
Household ID
953
430
Respondent ID
Respondent ID
953
430
Day of interview
Date of Interview. Day.
953
430
Month of interview
Date of Interview. Month.
953
430
Year of interview
Date of Interview. Year.
953
430
Children in school
953
430
10. In past 1 year had difficult in paying for school expens
The primary female respondent or the person that she indicates as the best able to respond.
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
327
2
No
623
8
1
9
1
Sysmiss
431
11. Main reason had difficulty in paying
The primary female respondent or the person that she indicates as the best able to respond.
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
242
2
Somebody was sick
20
3
Bad harvest on shamba
21
4
Business failure
19
5
Other
24
Sysmiss
1057
Main reason had difficulty (Other)
The primary female respondent or the person that she indicates as the best able to respond.
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
0
12. Any child miss school as aresult
The primary female respondent or the person that she indicates as the best able to respond.
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
239
2
No
86
8
2
Sysmiss
1056
13. Children missed school
The primary female respondent or the person that she indicates as the best able to respond.
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
The primary female respondent or the person that she indicates as the best able to respond.
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
The primary female respondent or the person that she indicates as the best able to respond.
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
The primary female respondent or the person that she indicates as the best able to respond.
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
1383
0
0
431
1
952
1383
0
1
431
3
952
Household ID
Household ID
2592
0
Respondent ID
Respondent ID
2592
0
Education expenditure module
2592
0
1
Yes
2592
2
No
0
Household ID
Household ID
2592
0
Respondent ID
Respondent ID
2592
0
Day of interview
Date of Interview. Day.
2592
0
Month of interview
Date of Interview. Month.
2592
0
Year of interview
Date of Interview. Year.
2592
0
Children in school
2592
0
1
163
2
436
3
558
4
584
5
450
6
204
7
133
8
8
9
36
10
10
11
10
Line number
0
2592
ID Code of child
ID Code of child
2592
0
2a. All of 2005
The primary female respondent or the person that she indicates as the best able to respond.
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
0
0
99999
5203.461
10544.258
2b. First term 2006
The primary female respondent or the person that she indicates as the best able to respond.
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
0
0
68000
2912.563
6238.099
2c. Second term 2006
The primary female respondent or the person that she indicates as the best able to respond.
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
0
0
68000
1119.481
3195.827
3. Anyone else contributed towards the education of child in
The primary female respondent or the person that she indicates as the best able to respond.
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
0
1
Yes
110
2
No
2464
3
16
8
2
3a. The amount of support that was received
The primary female respondent or the person that she indicates as the best able to respond.
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
The primary female respondent or the person that she indicates as the best able to respond.
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
The primary female respondent or the person that she indicates as the best able to respond.
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
0
1
Yes
91
2
No
2473
3
26
8
2
4a. The amount of support that was received
The primary female respondent or the person that she indicates as the best able to respond.
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
The primary female respondent or the person that she indicates as the best able to respond.
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
The primary female respondent or the person that she indicates as the best able to respond.
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
0
1
Yes
76
2
No
1837
3
N/A
671
8
8
5a. The amount of support that was received
The primary female respondent or the person that she indicates as the best able to respond.
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
0
11000
855.513
2017.261
5b. Who was the main contibutor
The primary female respondent or the person that she indicates as the best able to respond.
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
The primary female respondent or the person that she indicates as the best able to respond.
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
0
1
Yes
263
2
No
2298
3
16
8
7
9
8
6a. The amount of support that was received
The primary female respondent or the person that she indicates as the best able to respond.
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
The primary female respondent or the person that she indicates as the best able to respond.
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
0
7. Anyone from outside contributed towards the education of
The primary female respondent or the person that she indicates as the best able to respond.
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
0
1
Yes
228
2
No
2320
3
27
8
10
9
7
7a. The amount of support that was received
The primary female respondent or the person that she indicates as the best able to respond.
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
The primary female respondent or the person that she indicates as the best able to respond.
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
0
8. Anyone from outside contributed towards the education of
The primary female respondent or the person that she indicates as the best able to respond.
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
0
1
Yes
151
2
No
1750
3
N/A
674
8
11
9
6
8a. The amount of support that was received
The primary female respondent or the person that she indicates as the best able to respond.
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
The primary female respondent or the person that she indicates as the best able to respond.
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
0
9. How frequently missed days of school in past year
The primary female respondent or the person that she indicates as the best able to respond.
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
0
1
Never
489
2
Very few times
1953
3
Almost half the time
52
4
Regularly
21
8
10
9
67
_merge representing educexp1
2592
0
1
2592
Household ID
Household ID
5401
0
Respondent ID
Respondent ID
5401
0
Health Module
5401
0
1
Yes
5401
2
No
0
Household ID
Household ID
5401
0
Respondent ID
Respondent ID
5401
0
Day of interview
Date of Interview. Day.
5401
0
Month of interview
Date of Interview. Month.
5401
0
Year of interview
Date of Interview. Year.
5401
0
Count Section A
5401
0
1
15
6.675
2.61
Count Section B
5401
0
1
15
6.677
2.614
Count Section D
5401
0
0
15
5.976
2.751
Line number
Primary female respondent
All household members.
0
5401
ID Code
Primary female respondent
ID Code of Individual
[Copy from household roster]
All household members.
5401
0
Had any illness during past 4 weeks
The primary female respondent.
If answer is 4 > Go to section B (hb01 - variable name in dataset).
All household members.
5373
28
1
Yes, illness
1327
2
Yes, injury
52
3
Yes, illness and injury
2
4
No
3892
9
100
Sysmiss
28
How long ago did it start (Amount of time)
The primary female respondent.
IF MORE THAN ONE, ASK ABOUT MOST RECENT ILLNESS or INJURY.
All household members.
1384
4017
1
99
4.62
7.305
How long ago did it start (Time unit)
The primary female respondent.
IF MORE THAN ONE, ASK ABOUT MOST RECENT ILLNESS or INJURY.
All household members.
1380
4021
1
Minutes
0
2
Hours
1
3
Days
251
4
Weeks
826
5
Months
44
6
Year
258
Sysmiss
4021
Begin less than 6 months ago
The primary female respondent.
Did this illness begin less than six months ago?
If answer is 1 > Go to 7 (h07 - variable name in dataset).
All household members.
1380
4021
1
Yes
1098
2
No
281
8
1
Sysmiss
4021
Has had any other illness during the past 4 weeks
The primary female respondent.
During the past 4 weeks has [NAME] had any other illness or injuries?
If answer is 2 > Go to section B (hb01- variable name in dataset).
All household members.
282
5119
1
Yes
11
2
No
269
8
2
Sysmiss
5119
How long ago did it start (Amount of time)
The primary female respondent.
IF MORE THAN ONE, ASK ABOUT MOST RECENT ILLNESS or INJURY.
All household members.
13
5388
2
98
19.615
35.092
How long ago did it start (Time unit)
The primary female respondent.
IF MORE THAN ONE, ASK ABOUT MOST RECENT ILLNESS or INJURY.
All household members.
13
5388
1
Minutes
0
2
Hours
0
3
Days
0
4
Weeks
6
5
Months
0
6
Year
5
8
2
Sysmiss
5388
Begin less than 6 months ago
The primary female respondent.
Did this illness begin less than six months ago?
If answer is 2 > Go to section B (hb01- variable name in dataset).
All household members.
12
5389
1
Yes
3
2
No
6
8
3
Sysmiss
5389
For how many days did suffer
The primary female respondent.
For how many days did [NAME] suffer from this illness or injury (SINCE DATE THAT ILLNESS BEGAN)?
[Number of days]
All household members.
1105
4296
0
120
6.568
11.238
Illness A:
The primary female respondent.
If illness: can you describe the symptoms that [NAME] suffered from during this illness? What is/was wrong?
Record up to 5 symptom codes.
All household members.
1101
4300
1
99
16.092
9.979
1
Diarrhea (acute)
19
2
Diarrhea (chronic, 1 month or more)
2
3
Weight loss (major)
3
4
Fever (acute)
26
5
Fever (recurring)
16
6
Skin rash
19
7
Weakness
36
8
Severe headache
251
9
Fainting
4
10
Chills (feeling hot and cold)
42
11
Vomiting
35
12
Cough
228
13
Productive cough
1
14
Coughing blood
0
15
Pain on passing urine
0
16
Genital sores
0
17
Mental disorder
1
18
Abdominal pain
52
19
Sore throat
12
20
Difficulty breathing
4
21
Burn
2
22
Fracture
10
23
Wound
42
24
Child birth
1
25
Ameobeosis
0
26
Other (specify)
46
Illness B:
The primary female respondent.
If illness: can you describe the symptoms that [NAME] suffered from during this illness? What is/was wrong?
Record up to 5 symptom codes.
All household members.
871
4530
1
34
15.699
9.56
1
Diarrhea (acute)
11
2
Diarrhea (chronic, 1 month or more)
1
3
Weight loss (major)
3
4
Fever (acute)
35
5
Fever (recurring)
3
6
Skin rash
11
7
Weakness
63
8
Severe headache
128
9
Fainting
0
10
Chills (feeling hot and cold)
58
11
Vomiting
49
12
Cough
203
13
Productive cough
0
14
Coughing blood
0
15
Pain on passing urine
0
16
Genital sores
1
17
Mental disorder
1
18
Abdominal pain
42
19
Sore throat
26
20
Difficulty breathing
8
21
Burn
0
22
Fracture
0
23
Wound
4
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
28
Illness C:
The primary female respondent.
If illness: can you describe the symptoms that [NAME] suffered from during this illness? What is/was wrong?
Record up to 5 symptom codes.
All household members.
443
4958
1
34
15.707
10.075
1
Diarrhea (acute)
9
2
Diarrhea (chronic, 1 month or more)
1
3
Weight loss (major)
1
4
Fever (acute)
20
5
Fever (recurring)
7
6
Skin rash
4
7
Weakness
28
8
Severe headache
75
9
Fainting
1
10
Chills (feeling hot and cold)
41
11
Vomiting
35
12
Cough
60
13
Productive cough
2
14
Coughing blood
0
15
Pain on passing urine
0
16
Genital sores
0
17
Mental disorder
0
18
Abdominal pain
13
19
Sore throat
13
20
Difficulty breathing
9
21
Burn
0
22
Fracture
0
23
Wound
2
24
Child birth
1
25
Ameobeosis
1
26
Other (specify)
23
Illness D:
The primary female respondent.
If illness: can you describe the symptoms that [NAME] suffered from during this illness? What is/was wrong?
Record up to 5 symptom codes.
All household members.
115
5286
1
34
15.983
10.927
1
Diarrhea (acute)
4
2
Diarrhea (chronic, 1 month or more)
1
3
Weight loss (major)
0
4
Fever (acute)
8
5
Fever (recurring)
2
6
Skin rash
0
7
Weakness
11
8
Severe headache
15
9
Fainting
0
10
Chills (feeling hot and cold)
10
11
Vomiting
13
12
Cough
8
13
Productive cough
0
14
Coughing blood
1
15
Pain on passing urine
0
16
Genital sores
0
17
Mental disorder
0
18
Abdominal pain
3
19
Sore throat
0
20
Difficulty breathing
0
21
Burn
0
22
Fracture
0
23
Wound
0
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
10
Illness E:
The primary female respondent.
If illness: can you describe the symptoms that [NAME] suffered from during this illness? What is/was wrong?
Record up to 5 symptom codes.
All household members.
15
5386
1
34
15.8
12.656
1
Diarrhea (acute)
1
2
Diarrhea (chronic, 1 month or more)
0
3
Weight loss (major)
1
4
Fever (acute)
1
5
Fever (recurring)
0
6
Skin rash
0
7
Weakness
1
8
Severe headache
1
9
Fainting
1
10
Chills (feeling hot and cold)
2
11
Vomiting
2
12
Cough
0
13
Productive cough
0
14
Coughing blood
0
15
Pain on passing urine
0
16
Genital sores
0
17
Mental disorder
0
18
Abdominal pain
0
19
Sore throat
0
20
Difficulty breathing
0
21
Burn
0
22
Fracture
0
23
Wound
0
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
0
Illness (Other)
The primary female respondent.
If illness: can you describe the symptoms that [NAME] suffered from during this illness? What is/was wrong? Other (specify).
All household members.
104
0
Days unable to carry out activities
The primary female respondent.
For how many days was [NAME] unable to carry out his/her usual activities because of this illness or injury?
Go to 12 (h12 - variable name in dataset).]]>
All household members.
1105
4296
0
99
2.539
8.092
Person 8 or older
The primary female respondent.
Enumerator: Is this person 8 or older?
If answer is 2 > Go to 12 (h12 - variable name in dataset).
All household members.
553
4848
1
Yes
433
2
No
118
8
2
Sysmiss
4848
Who was performing work
The primary female respondent.
During [NAME’s] illness who was mainly performing his/her work?
Write HHID or IRID.
All household members.
436
0
98
Nobody
Anyone been consulted for treating illness
The primary female respondent.
Has anyone been consulted for treating this illness or injury? For example a doctor, nurse, TBA, traditional healer, pharmacist, etc
If answer is 2 > Go to 31 (h31 - variable name in dataset).
All household members.
1105
4296
1
Yes
924
2
No
181
Sysmiss
4296
Where did first go for advice/treatment
The primary female respondent.
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
National Referral Hosp. (Kenyatta, Moi)
16
2
Government District/Provincial Hosp.
94
3
Mosoriot Rural Health Center
229
4
Government Health Center (exc. Mosoriot)
101
5
Government dispensary
119
6
Mission hospital/clinic
18
7
Other private hospital/clinic
28
8
Chemist/pharmacy
93
9
Private doctor (like priv. clinic)
21
10
Mobile clinic
0
11
Community health worker
0
12
Retail shop
171
13
Herbalist/traditional healer
30
14
Relative/friend
3
15
Other (specify)
1
Sysmiss
4477
Where did first go for advice/treatment (Other)
The primary female respondent.
Where did [NAME] first go for advice or treatment? Other (specify).
All household members.
1
0
How long did it take to travel - Hours
The primary female respondent.
How long did it take [NAME] to travel to this establishment? Hours.
RECORD TIME FOR ONE WAY JOURNEY.
All household members.
923
4478
0
99
0.948
6.625
How long did it take to travel - Minutes
The primary female respondent.
How long did it take [NAME] to travel to this establishment? Minutes.
RECORD TIME FOR ONE WAY JOURNEY.
All household members.
922
4479
0
99
17.542
15.047
Spend a night at establishment
The primary female respondent.
Did [NAME] have to spend a night in this establishment because of the illness or injury?
If answer is 2 > Go to 20 (h20 - variable name in dataset).
All household members.
923
4478
1
Yes
36
2
No
887
Sysmiss
4478
How many nights
The primary female respondent.
How many nights in total?
All household members.
36
5365
1
30
5.417
6.775
How much money has paid for stay at establishment
The primary female respondent.
How much money has your household paid or will your household pay altogether for the stay in this establishment?
All household members.
36
5365
0
9450
1551.611
2403.391
How many times did vist the establishemnt
The primary female respondent.
How many times did [NAME] visit this establishment for this illness or injury?
All household members.
36
5365
0
5
1.389
0.994
How much household pay for all visits at the establishement
The primary female respondent.
How much did your household pay for all of the visits to this establishment for this injury or illness?
All household members.
36
5365
0
22905
1068.667
3946.869
Seek advice or care at any other establishment
The primary female respondent.
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
Yes
35
2
No
889
Sysmiss
4477
Where was second place sought care
The primary female respondent.
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
National Referral Hosp. (Kenyatta, Moi)
9
2
Government District/Provincial Hosp.
2
3
Mosoriot Rural Health Center
12
4
Government Health Center (exc. Mosoriot)
4
5
Government dispensary
1
6
Mission hospital/clinic
2
7
Other private hospital/clinic
1
8
Chemist/pharmacy
1
9
Private doctor (like priv. clinic)
0
10
Mobile clinic
0
11
Community health worker
0
12
Retail shop
0
13
Herbalist/traditional healer
3
14
Relative/friend
0
15
Other (specify)
0
Sysmiss
5366
Where was second place sought care (Other)
The primary female respondent.
Where was the second place that [NAME] sought care or advice? Other (specify).
All household members.
0
0
How long did it take to travel (hrs)
The primary female respondent.
How long did it take [NAME] to travel to this establishment? Hours.
RECORD TIME FOR ONE WAY JOURNEY.
All household members.
35
5366
0
15
2
2.733
How long did it take to establishement (mins)
The primary female respondent.
How long did it take [NAME] to travel to this establishment? Mintues.
RECORD TIME FOR ONE WAY JOURNEY.
All household members.
35
5366
0
50
13.571
16.564
Spend night at establishment
The primary female respondent.
Did [NAME] have to spend a night in this establishment because of the illness or injury?
If answer is 2 > Go to 26 (h26 - variable name in dataset).
All household members.
35
5366
1
Yes
7
2
No
28
Sysmiss
5366
How many nights
The primary female respondent.
How many nights?
All household members.
7
5394
1
14
4.286
4.424
How much money pay for stay at establishment
The primary female respondent.
How much money has your household paid or will your household pay altogether for the stay in this establishment?
All household members.
7
5394
0
19400
5635.714
7345.22
How many times visited the establishment
The primary female respondent.
How many times did [NAME] visit this establishment for this illness or injury?
All household members.
35
5366
0
16
2.2
2.709
How much household pay for all visits at the establishement
The primary female respondent.
How much did your household pay for all of the visits to this establishment for this injury or illness?
All household members.
35
5366
0
19400
1335.714
3508.238
Did seek care at any other establishement
The primary female respondent.
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
Yes
2
2
No
33
Sysmiss
5366
How many other establishment
The primary female respondent.
How many other establishments did [NAME] visit?
All household members.
2
5399
1
2
1.5
0.707
How much money was spent for all visits
The primary female respondent.
How much money was spent for all visits to other establishments for this illness or injury?
All household members.
2
5399
4000
7200
5600
2262.742
Confined to bed at home
The primary female respondent.
Was [NAME] at any time confined to his/her bed at home for this illness or injury?
If answer is 2 > Go to 33 (h33 - variable name in dataset).
All household members.
1105
4296
1
Yes
376
2
No
727
9
2
Sysmiss
4296
Who was caring most of the time
The primary female respondent.
Who in your household was caring for [NAME] most of the time?
Use HHID or IRID or 98 nobody.
All household members.
376
0
Does household have insurance
The primary female respondent.
Does your household have any health insurance?
All household members.
1104
4297
1
NHIF
128
2
Private
8
3
Other
0
4
None
967
8
1
Sysmiss
4297
How much has been spent for transportation
The primary female respondent.
How much has been spent altogether for transportation to health care for this illness or injury?
All household members.
1105
4296
0
6000
58.405
235.233
How much has been spent on medication
The primary female respondent.
How much has been spent altogether for medicines (including traditional medicines) for this illness?
All household members.
1105
4296
0
18800
183.67
812.371
What was the amount of total cost by employer
The primary female respondent.
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
0
200
0.546
8.465
What was the amount of total cost by persons outside
The primary female respondent.
What was the amount of [NAME's] total costs paid for by persons outside your household (like family members)?
All household members.
1105
4296
0
10500
42.966
556.711
Still suffering from this illness
The primary female respondent.
Is [NAME] still suffering from this illness or injury today?
All household members.
1105
4296
1
Yes
195
2
No
909
9
1
Sysmiss
4296
Was illness diagnosed by a health professional
The primary female respondent.
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
Yes
682
2
No
423
Sysmiss
4296
What illness professional think
The primary female respondent.
What illness did the health practitioner think [NAME] had?
If multiple illnesses, list most recent.
All household members.
682
4719
1
99
22.972
22.9
1
HIV/AIDS
3
2
Asthma
3
3
Bilharzia/ Shistosomiasis
0
4
Cancer
6
5
Diarrhea
4
6
Dysentry
1
7
Fracture/break
10
8
Gnorrhea
2
9
Intestinal Parisites
7
10
Malaria
319
11
Malnutrition (Kwashiorkor/Marasmus)
1
12
Measles
2
13
Meningitis
2
14
Poisoning
0
15
Polio
0
16
Syphilis
0
17
Tetanus
2
18
Tuberculosis
4
19
Typhoid
17
20
Urinary Infection
0
21
Witchcraft
0
22
Other STD (specify)
0
23
Other illness (specify)
63
24
Other injury (specify)
25
30
Common cold
143
31
Pneumonia
19
32
Diabetes
0
99
Don’t know
49
What illness professional think (Other)
The primary female respondent.
What illness did the health practitioner think [NAME] had? Other (specify).
If multiple illnesses, list most recent.
All household members.
88
0
What illness do you think (Name) is suffering
The primary female respondent.
What illness do you think [NAME] is suffering from?
All household members.
1105
4296
1
99
23.322
15.358
1
HIV/AIDS
5
2
Asthma
2
3
Bilharzia/ Shistosomiasis
0
4
Cancer
3
5
Diarrhea
10
6
Dysentry
1
7
Fracture/break
16
8
Gnorrhea
0
9
Intestinal Parisites
6
10
Malaria
348
11
Malnutrition (Kwashiorkor/Marasmus)
0
12
Measles
4
13
Meningitis
0
14
Poisoning
4
15
Polio
0
16
Syphilis
0
17
Tetanus
2
18
Tuberculosis
7
19
Typhoid
10
20
Urinary Infection
0
21
Witchcraft
0
22
Other STD (specify)
0
23
Other illness (specify)
105
24
Other injury (specify)
38
30
Common cold
496
31
Pneumonia
19
32
Diabetes
0
99
Don’t know
28
What illness do you think (Name) is suffering (Other)
The primary female respondent.
What illness do you think [NAME] is suffering from? Other (specify).
All household members.
143
0
Has been recurring problem
The primary female respondent.
Has this been a recurring problem?
All household members.
1105
4296
1
Yes
101
2
No
1004
Sysmiss
4296
How many times in the past 6 months has been stricken with s
The primary female respondent.
How many times in the past 6 months has [NAME] been stricken with the same condition?
All household members.
101
5300
1
98
4.139
13.45
How many other illness did have in past 4 weeks
The primary female respondent.
How many other illnesses or injuries did [NAME] have in the past 4 weeks?
If answer is 0 > Go to section B (hb01 - variable name in dataset).
All household members.
1105
4296
0
98
0.118
2.953
How much household spend on all these other illness in past
The primary female respondent.
How much did your household spend on all of these other illness or injuries in the past 4 weeks, including the cost of treatment, medicines, transportation and other expenses connected with these illnesses?
Exclude expenses incurred jointly with first illness.
All household members.
30
5371
0
17000
864.567
3112.031
For how many days was unable to carry out normal activities
The primary female respondent.
In total, for how many days was [NAME] unable to carry out his/her normal activities because of these other illnesses or injuries in the past 4 weeks?
Exclude days incurred jointly with first illness
All household members.
30
5371
0
98
6.033
18.163
5373
28
3
5373
Sysmiss
28
Line number
Primary female respondent
All household members.
0
5401
ID code
Primary female respondent
ID
All household members.
5373
28
1. Has been living with any health problem
The primary female respondent.
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
Yes
932
2
No
4430
3
1
8
4
9
6
Sysmiss
28
2. How long ago did problem start (Amount of time)
The primary female respondent.
How long ago did this problem start? Amt of time.
All household members.
935
4466
1
99
6.286
11.2
2. How long ago did problem start (Time unit)
The primary female respondent.
How long ago did this problem start? Time unit.
All household members.
935
4466
1
Minutes
2
2
Hours
2
3
Days
0
4
Weeks
0
5
Months
28
6
Year
894
8
7
9
2
Sysmiss
4466
3. Has condition been diagnosed by health professional
The primary female respondent.
Has this condition been diagnosed by a health professional?
If answer is 2 > Go to 5 (hb05a - variable name in dataset).
All household members.
935
4466
1
Yes
867
2
No
65
8
3
Sysmiss
4466
4. What condition did health professional think
The primary female respondent.
What condition did the health professional think [NAME] have?
All household members.
870
4531
1
99
11.508
22.405
1
HIV/AIDS
557
2
Asthma
44
3
Bilharzia/ Shistosomiasis
0
4
Cancer
11
5
Diarrhea
0
6
Dysentry
0
7
Fracture/break
3
8
Gnorrhea
0
9
Intestinal Parisites
5
10
Malaria
1
11
Malnutrition (Kwashiorkor/Marasmus)
0
12
Measles
0
13
Meningitis
0
14
Poisoning
0
15
Polio
2
16
Syphilis
1
17
Tetanus
0
18
Tuberculosis
7
19
Typhoid
2
20
Urinary Infection
3
21
Witchcraft
0
22
Other STD (specify)
0
23
Other illness (specify)
151
24
Other injury (specify)
11
30
Common cold
1
31
Pneumonia
9
32
Diabetes
16
99
Don’t know
41
What condition did health professional think (Other)
The primary female respondent.
What condition did the health professional think [NAME] have? Other (specify).
All household members.
162
0
5. Symptoms have A:
The primary female respondent.
What symptoms does [NAME] have?
List up to 4.
All household members.
854
4547
1
99
16.796
13.857
1
Diarrhea (acute)
10
2
Diarrhea (chronic, 1 month or more)
12
3
Weight loss (major)
52
4
Fever (acute)
3
5
Fever (recurring)
15
6
Skin rash
128
7
Weakness
94
8
Severe headache
37
9
Fainting
3
10
Chills (feeling hot and cold)
5
11
Vomiting
8
12
Cough
76
13
Productive cough
16
14
Coughing blood
7
15
Pain on passing urine
4
16
Genital sores
1
17
Mental disorder
9
18
Abdominal pain
44
19
Sore throat
8
20
Difficulty breathing
24
21
Burn
0
22
Fracture
3
23
Wound
15
24
Child birth
0
25
Ameobeosis
1
26
Other (specify)
123
30
Joint pain
33
31
Running nose
0
32
Chest pain
92
33
Peptic Ulcer
19
34
Loss of Appetite
1
35
Vaginal Discharge
0
Symptoms have B:
The primary female respondent.
What symptoms does [NAME] have?
List up to 4.
All household members.
520
4881
1
98
14.619
11.213
1
Diarrhea (acute)
6
2
Diarrhea (chronic, 1 month or more)
4
3
Weight loss (major)
52
4
Fever (acute)
3
5
Fever (recurring)
14
6
Skin rash
38
7
Weakness
83
8
Severe headache
28
9
Fainting
2
10
Chills (feeling hot and cold)
11
11
Vomiting
10
12
Cough
69
13
Productive cough
15
14
Coughing blood
2
15
Pain on passing urine
0
16
Genital sores
2
17
Mental disorder
1
18
Abdominal pain
7
19
Sore throat
13
20
Difficulty breathing
20
21
Burn
0
22
Fracture
1
23
Wound
8
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
49
30
Joint pain
23
31
Running nose
3
32
Chest pain
44
33
Peptic Ulcer
2
34
Loss of Appetite
7
35
Vaginal Discharge
1
Symptoms have C:
The primary female respondent.
What symptoms does [NAME] have?
List up to 4.
All household members.
243
5158
1
34
12.794
9.858
1
Diarrhea (acute)
6
2
Diarrhea (chronic, 1 month or more)
4
3
Weight loss (major)
20
4
Fever (acute)
2
5
Fever (recurring)
15
6
Skin rash
27
7
Weakness
36
8
Severe headache
23
9
Fainting
0
10
Chills (feeling hot and cold)
7
11
Vomiting
2
12
Cough
28
13
Productive cough
4
14
Coughing blood
0
15
Pain on passing urine
0
16
Genital sores
0
17
Mental disorder
0
18
Abdominal pain
8
19
Sore throat
4
20
Difficulty breathing
3
21
Burn
0
22
Fracture
0
23
Wound
2
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
18
30
Joint pain
8
31
Running nose
4
32
Chest pain
16
33
Peptic Ulcer
0
34
Loss of Appetite
6
35
Vaginal Discharge
0
Symptoms have D:
The primary female respondent.
What symptoms does [NAME] have?
List up to 4.
All household members.
96
5305
1
34
11.802
9.969
1
Diarrhea (acute)
8
2
Diarrhea (chronic, 1 month or more)
2
3
Weight loss (major)
7
4
Fever (acute)
0
5
Fever (recurring)
11
6
Skin rash
10
7
Weakness
12
8
Severe headache
5
9
Fainting
1
10
Chills (feeling hot and cold)
1
11
Vomiting
2
12
Cough
8
13
Productive cough
3
14
Coughing blood
0
15
Pain on passing urine
0
16
Genital sores
1
17
Mental disorder
0
18
Abdominal pain
5
19
Sore throat
1
20
Difficulty breathing
2
21
Burn
0
22
Fracture
0
23
Wound
0
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
5
30
Joint pain
1
31
Running nose
0
32
Chest pain
7
33
Peptic Ulcer
0
34
Loss of Appetite
4
35
Vaginal Discharge
0
Symptoms have (Other)
The primary female respondent.
What symptoms does [NAME] have? Other (specify).
All household members.
192
0
6. How much money did spend on all these conditions
The primary female respondent.
All household members.
935
4466
0
35000
273.827
1258.041
7. Of this amount, what was main form of expense
The primary female respondent.
All household members.
585
4816
8. How many days was not able to to carry out activities
The primary female respondent.
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
0
99
3.043
14.068
9. Person 8 or older
The primary female respondent.
All household members.
205
5196
0
1
1
182
2
12
8
10
Sysmiss
5196
10. Who was performing work
The primary female respondent.
All household members.
192
0
11. Confined to bed at home
The primary female respondent.
All household members.
946
4455
1
130
2
802
8
9
9
5
Sysmiss
4455
12. Who was caring most of the time
The primary female respondent.
All household members.
140
0
13. Has suffered diarrhea for a month or more
The primary female respondent.
Has [NAME] suffered diarrhea for a month or more?
All household members.
5371
30
1
Yes
91
2
No
5262
8
11
9
7
Sysmiss
30
14. Has lost much weight in recent months
The primary female respondent.
Has [NAME] continuously lost weight in recent months?
All household members.
5371
30
1
Yes
254
2
No
5100
8
7
9
10
Sysmiss
30
15. Has had a recurring fever for a month or more
The primary female respondent.
Has [NAME] had a recurring fever for a month or more?
All household members.
5371
30
1
Yes
184
2
No
5173
8
7
9
7
Sysmiss
30
16. Has suffered from any skin rash in past year
The primary female respondent.
Has [NAME] suffered from any skin rash in the past year?
All household members.
5371
30
1
Yes
365
2
No
4992
8
7
9
7
Sysmiss
30
17. Has suffered from persistent sore throat
The primary female respondent.
Has [NAME] suffered from a persistent sore throat in the last 3 months? (Thrush)
All household members.
5371
30
1
Yes
160
2
No
5196
8
9
9
6
Sysmiss
30
18. Has felt much more tired than normal
The primary female respondent.
Has [NAME] felt much more tired than normal in the past 3 months?
All household members.
5371
30
1
Yes
509
2
No
4848
8
7
9
7
Sysmiss
30
19. Has been sweating during the night
The primary female respondent.
Has [NAME] been sweating during the night in the last 3 months?
All household members.
5371
30
1
Yes
429
2
No
4919
8
16
9
7
Sysmiss
30
5373
28
3
5373
Sysmiss
28
Line number
The primary female respondent.
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.
0
5401
1. ID Code
The primary female respondent.
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
2. Ever visited Mosoriot Rural Health Centre
The primary female respondent.
Has [NAME] ever visited the Mosoriot Rural Health Center?
If answer is 2 > Go to next person.
All household members.
4796
605
1
Yes
2796
2
No
1982
8
14
9
4
Sysmiss
605
3. Have card with ID # for Mosoriot health records
The primary female respondent.
Does [NAME] have a card with an ID number for the Mosoriot health records?
If answer is 2 or 99> Go to next person.
All household members.
2804
2597
1
Yes
1697
2
No
707
8
328
9
72
88
Lost the card
0
99
Don’t Know
0
Sysmiss
2597
4. See the card
The primary female respondent.
Can I please see the card with the ID number for [NAME], or can you tell me the exact ID number for [NAME]?
All household members.
1697
3704
1
Yes – showed the card
514
2
Yes – reported the ID number
5
3
Refused to show card or tell number
1
4
Card not available
509
5
662
8
6
Sysmiss
3704
5. Card ID number
The primary female respondent.
INTERVIEWER: COPY THE NUMBER AS IT APPEARS ON THE CARD OR RECORD THE NUMBER GIVEN TO YOU BY THE RESPONDENT.
All household members.
515
0
4796
605
3
4796
Sysmiss
605
Household ID
Household ID
1383
0
Respondent ID
Respondent ID
1383
0
Health Module
1383
0
1
Yes
984
2
No
399
Household ID
Household ID
984
399
Respondent ID
Respondent ID
984
399
Day of interview
Date of Interview. Day.
984
399
Month of interview
Date of Interview. Month.
984
399
Year of interview
Date of Interview. Year.
984
399
Count Section A
984
399
1
15
5.46
2.578
Count Section B
984
399
1
15
5.461
2.582
Count Section D
984
399
0
15
4.873
2.644
_merge representing healthc1
1383
0
0
710
1
673
Anyone had tuberclosis since Round 2
Primary female respondent
Has anyone in the household had tuberculosis since [Round 2] (including illnesses discussed in sections A or B?
Ask if respondent has a card with information about the illness.
If answer is 2 > Go to next disease.]]>
All household members.
984
399
1
Yes
30
2
No
954
Sysmiss
399
Count of TB
30
1353
1
2
1.033
0.183
_merge representing healthc2
1383
0
0
399
1
984
_merge representing healthc3
1383
0
0
1353
1
30
Has anyone had typhoid
Primary female respondent
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
102
2
No
882
Sysmiss
399
Count of Typhoid
102
1281
1
3
1.127
0.363
_merge representing healthc4
1383
0
0
399
1
984
_merge representing healthc5
1383
0
0
1281
1
102
Anyone had menengitis
Primary female respondent
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
8
2
No
976
Sysmiss
399
Count of menengitis
8
1375
1
1
1
0
_merge representing healthc7
1383
0
0
399
1
984
_merge representing healthc8
1383
0
0
1375
1
8
Has anyone had malaria since Round 2
Primary female respondent
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
673
2
No
311
Sysmiss
399
Count Malaria
673
710
1
7
1.746
1.087
_merge representing healthc9
1383
0
0
399
1
984
1383
0
1
399
3
984
Household ID
Household ID
1175
0
Respondent ID
Respondent ID
1175
0
Line number
Primary female respondent
All sick household members.
0
1175
ID code
Primary female respondent
ID Code
All sick household members.
1175
0
Episode number
Primary female respondent
Episode number for [NAME]
All sick household members.
1173
2
Date started (Month)
Primary female respondent
Date started. Month.
All sick household members.
1175
0
Date started (Year)
Primary female respondent
Date started. Year.
All sick household members.
1175
0
Length of episode - Time
Primary female respondent
Length of Episode.
All sick household members.
1174
1
1
98
3.743
7.094
Length of episode - Unit
Primary female respondent
Length of Episode. Time Units.
All sick household members.
1174
1
1
Minutes
2
2
Hours
0
3
Days
719
4
Weeks
423
5
Months
21
6
Year
1
8
8
Sysmiss
1
Where illness diagnosed as malaria
Primary female respondent
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)
31
2
Government District/Provincial Hosp.
122
3
Mosoriot Rural Health Center
386
4
Government Health Center (exc. Mosoriot)
194
5
Government dispensary
199
6
Mission hospital/clinic
27
7
Other private hospital/clinic
46
8
Chemist/pharmacy
23
9
Private doctor (like priv. clinic)
45
10
Mobile clinic
2
11
Community health worker
0
12
Retail shop
4
13
Herbalist/traditional healer
3
14
Relative/friend
0
15
Other (specify)
0
98
Self
91
Where illness diagnosed as malaria (Other)
Primary female respondent
Where was this illness diagnosed as malaria? Other (specify).
All sick household members.
0
0
Medicines used
Primary female respondent
Were any medicines used by [NAME]?
If answer is 2 > Go to next episode.
All sick household members.
1175
0
1
99
1.096
2.861
1
Yes
1159
2
No
15
Which medicines - 1
Primary female respondent
Which medicines?
All sick household members.
1159
16
1
Antipyretics (aspro, calpol, brufen, etc)
314
2
Chloroquine (malaroquine, etc)
20
3
Sulfa combinations (fansidar,metakelfin)
259
4
Halofantrine (hanfan)
0
5
Amodiaquine (camoquine)
137
6
Cotrimoxazole (bactrim, septrin)
8
7
Artimisinin (artenam, artomothor)
19
8
Herbal/traditional remedies
3
9
Other, specify
15
10
Quinine
189
98
1
99
Don’t Know
194
Sysmiss
16
Which medicines - 2
Primary female respondent
Which medicines?
All sick household members.
821
354
1
Antipyretics (aspro, calpol, brufen, etc)
392
2
Chloroquine (malaroquine, etc)
10
3
Sulfa combinations (fansidar,metakelfin)
158
4
Halofantrine (hanfan)
0
5
Amodiaquine (camoquine)
112
6
Cotrimoxazole (bactrim, septrin)
14
7
Artimisinin (artenam, artomothor)
30
8
Herbal/traditional remedies
0
9
Other, specify
5
10
Quinine
81
99
Don’t Know
19
Sysmiss
354
Which medicines - 3
Primary female respondent
Which medicines?
All sick household members.
135
1040
1
Antipyretics (aspro, calpol, brufen, etc)
31
2
Chloroquine (malaroquine, etc)
2
3
Sulfa combinations (fansidar,metakelfin)
23
4
Halofantrine (hanfan)
2
5
Amodiaquine (camoquine)
21
6
Cotrimoxazole (bactrim, septrin)
19
7
Artimisinin (artenam, artomothor)
0
8
Herbal/traditional remedies
0
9
Other, specify
6
10
Quinine
24
99
Don’t Know
7
Sysmiss
1040
Which medicines - 3 (Other)
Primary female respondent
Which medicines? Other (specify).
All sick household members.
14
0
Household ID
31
0
Respondent ID
31
0
Line number
Primary female respondent
All sick household members.
0
31
ID code
Primary female respondent
ID Code
All sick household members.
31
0
Episode number
Primary female respondent
Episode number for [NAME]
All sick household members.
31
0
Date started (Month)
Primary female respondent
Date started. Month.
All sick household members.
31
0
Date started (Year)
Primary female respondent
Date started. Year.
All sick household members.
31
0
Length of episode - Time
Primary female respondent
Length of Episode.
All sick household members.
30
1
1
88
16.4
28.781
Length of episode - Unit
Primary female respondent
Length of Episode. Time Units.
All sick household members.
30
1
1
Minutes
0
2
Hours
0
3
Days
1
4
Weeks
1
5
Months
22
6
Year
2
8
4
Sysmiss
1
Where illness was diagnosed as tuberclosis
Primary female respondent
Where was this illness diagnosed as tuberculosis?
All sick household members.
31
0
1
98
9.065
23.779
1
National Referral Hosp. (Kenyatta, Moi)
5
2
Government District/Provincial Hosp.
1
3
Mosoriot Rural Health Center
20
4
Government Health Center (exc. Mosoriot)
1
5
Government dispensary
0
6
Mission hospital/clinic
0
7
Other private hospital/clinic
2
8
Chemist/pharmacy
0
9
Private doctor (like priv. clinic)
0
10
Mobile clinic
0
11
Community health worker
0
12
Retail shop
0
13
Herbalist/traditional healer
0
14
Relative/friend
0
15
Other (specify)
0
98
Self
2
Where illness was diagnosed as tuberclosis (Other)
Primary female respondent
Where was this illness diagnosed as tuberculosis? Other (specify).
All sick household members.
0
0
Medicines used
Primary female respondent
Were any medicines used by [NAME]?
If answer is 2 > Go to next episode.
All sick household members.
31
0
1
Yes
29
2
No
2
Which medicines - 1
Primary female respondent
Which medicines?
[* list up to 3 medicine codes]
All sick household members.
29
2
1
Streptosin
3
2
Pyrazinamide
0
3
Ethambutol
5
4
Isoniazid
2
5
Rifampicin
3
9
16
Sysmiss
2
Which medicines - 2
Primary female respondent
Which medicines?
[* list up to 3 medicine codes]
All sick household members.
12
19
1
Streptosin
2
2
Pyrazinamide
0
3
Ethambutol
3
4
Isoniazid
6
5
Rifampicin
1
Sysmiss
19
Which medicines - 3
Primary female respondent
Which medicines?
[* list up to 3 medicine codes]
All sick household members.
6
25
1
Streptosin
3
2
Pyrazinamide
0
3
Ethambutol
0
4
Isoniazid
2
5
Rifampicin
1
Sysmiss
25
Household ID
115
0
Respondent ID
115
0
Line number
Primary female respondent
All sick household members.
0
115
ID Code
Primary female respondent
ID Code
All sick household members.
115
0
Episode number
Primary female respondent
Episode number for [NAME]
All sick household members.
115
0
Date started (Month)
Primary female respondent
Date started. Month.
All sick household members.
115
0
Date started (Year)
Primary female respondent
Date started. Year.
All sick household members.
115
0
Length of episode - Time
Primary female respondent
Length of Episode.
All sick household members.
115
0
1
20
3.4
3.834
Length of episode - Unit
Primary female respondent
Length of Episode. Time Unit.
All sick household members.
115
0
1
Minutes
0
2
Hours
0
3
Days
32
4
Weeks
50
5
Months
32
6
Year
0
8
1
Where illness was diagnosed as typhoid
Primary female respondent
Where was this illness diagnosed as typhoid?
All sick household members.
115
0
1
98
5.183
11.975
1
National Referral Hosp. (Kenyatta, Moi)
11
2
Government District/Provincial Hosp.
30
3
Mosoriot Rural Health Center
35
4
Government Health Center (exc. Mosoriot)
10
5
Government dispensary
5
6
Mission hospital/clinic
4
7
Other private hospital/clinic
11
8
Chemist/pharmacy
0
9
Private doctor (like priv. clinic)
5
10
Mobile clinic
1
11
Community health worker
0
12
Retail shop
0
13
Herbalist/traditional healer
1
14
Relative/friend
0
15
Other (specify)
0
98
Self
1
Where illness was diagnosed as typhoid (Other)
Primary female respondent
Where was this illness diagnosed as typhoid? Other (specify).
All sick household members.
0
0
Medicine used
Primary female respondent
Were any medicines used by [NAME]?
If answer is 2 > Go to next episode.
All sick household members.
115
0
1
Yes
114
2
No
1
Which medicine - 1
Primary female respondent
Which medicines?
[* list up to 3 medicine codes]
All sick household members.
112
3
1
Ampicillin
15
2
Amoxicillin
22
3
Septrin
9
4
Chloramphenicol
12
5
3
9
51
Sysmiss
3
Which medicine - 2
Primary female respondent
Which medicines?
[* list up to 3 medicine codes]
All sick household members.
45
70
1
Ampicillin
7
2
Amoxicillin
6
3
Septrin
16
4
Chloramphenicol
15
9
1
Sysmiss
70
Which medicine - 3
Primary female respondent
Which medicines?
[* list up to 3 medicine codes]
All sick household members.
14
101
1
Ampicillin
3
2
Amoxicillin
2
3
Septrin
3
4
Chloramphenicol
6
Sysmiss
101
Household ID
Household ID
8
0
Respondent ID
Respondent ID
8
0
Line number
Primary female respondent
All sick household members.
0
8
ID code
Primary female respondent
ID Code
All sick household members.
8
0
Episode number
Primary female respondent
Episode number for [NAME]
All sick household members.
8
0
Date started (Month)
Primary female respondent
Date started. Month.
All sick household members.
8
0
Date started (Year)
Primary female respondent
Date started. Year.
All sick household members.
8
0
Length of episode - Time
Primary female respondent
Length of Episode.
All sick household members.
8
0
1
88
16.125
30.675
Length of episode - Unit
Primary female respondent
Length of Episode. Time Unit.
All sick household members.
8
0
1
Minutes
0
2
Hours
0
3
Days
1
4
Weeks
5
5
Months
1
6
Year
0
8
1
Where illness was diagnosed
Primary female respondent
Where was this illness diagnosed as meningitis?
All sick household members.
8
0
1
National Referral Hosp. (Kenyatta, Moi)
2
2
Government District/Provincial Hosp.
2
3
Mosoriot Rural Health Center
4
4
Government Health Center (exc. Mosoriot)
0
5
Government dispensary
0
6
Mission hospital/clinic
0
7
Other private hospital/clinic
0
8
Chemist/pharmacy
0
9
Private doctor (like priv. clinic)
0
10
Mobile clinic
0
11
Community health worker
0
12
Retail shop
0
13
Herbalist/traditional healer
0
14
Relative/friend
0
15
Other (specify)
0
98
Self
0
Where illness was diagnosed (Other)
Primary female respondent
Where was this illness diagnosed as meningitis? Other (specify).
All sick household members.
0
0
Medicines used
Primary female respondent
Were any medicines used by [NAME]?
If answer is 2 > Go to next episode.
All sick household members.
8
0
1
Yes
8
2
No
0
Which medicines - 1
Primary female respondent
Which medicines?
[* list up to 3 medicine codes]
All sick household members.
8
0
1
Expen
0
2
Ampicillin
1
3
Chloramphenicol
1
4
Cefotaxine
1
9
5
Which medicines - 2
Primary female respondent
Which medicines?
[* list up to 3 medicine codes]
All sick household members.
4
4
1
Expen
2
2
Ampicillin
1
3
Chloramphenicol
1
4
Cefotaxine
0
Sysmiss
4
Which medicines - 3
Primary female respondent
Which medicines?
[* list up to 3 medicine codes]
All sick household members.
1
7
1
Expen
0
2
Ampicillin
0
3
Chloramphenicol
0
4
Cefotaxine
1
Sysmiss
7
Household ID
Household ID
1383
0
1
91773
1806.004
8721.811
Respondent ID
Respondent ID
1383
0
1
785
2
555
3
28
4
4
5
4
6
2
7
3
8
2
Food consumption Module
1383
0
1
Yes
984
2
No
399
Household ID
Household ID
984
399
1
91773
2138.943
9896.839
Respondent ID
Respondent ID
984
399
1
391
2
550
3
27
4
5
5
4
6
2
7
3
8
2
Sysmiss
399
Day of interview
Date of Interview. Day.
984
399
1
31
16.218
9.008
Month of interview
Date of Interview. Month.
984
399
3
36
4
158
5
186
6
147
7
137
8
157
9
126
10
37
Sysmiss
399
Year of interview
Date of Interview. Year.
984
399
2006
984
Sysmiss
399
Has members eaten any foods grown by household
The primary female respondent.
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
887
2
No
97
Sysmiss
399
_merge representing consump1
1383
0
0
399
1
984
_merge representing consump2
1383
0
0
399
1
984
_merge representing consump3
1383
0
0
399
1
984
Enough maize
The primary female respondent.
983
400
1
Yes
568
2
No
415
Sysmiss
400
Enough vegetables
The primary female respondent.
983
400
1
Yes
339
2
No
643
8
1
Sysmiss
400
Enough eggs
The primary female respondent.
983
400
1
Yes
471
2
No
511
8
1
Sysmiss
400
Enough milk
The primary female respondent.
983
400
1
Yes
516
2
No
466
8
1
Sysmiss
400
Enough food- past 4 weeks
The primary female respondent.
984
399
1
Yes
666
2
No
316
8
2
Sysmiss
399
Any organizations that provide free food
The primary female respondent.
984
399
1
Yes
148
2
No
502
3
Yes, but only to HIV/AIDS patients
327
4
Yes, but only for a specific group
5
9
2
Sysmiss
399
Has household received nutition education
The primary female respondent.
982
401
1
Yes
98
2
No
884
Sysmiss
401
Have you received training in preparation of food items
The primary female respondent.
98
1285
1
Yes
83
2
No
15
Sysmiss
1285
_merge representing consump4
1383
0
0
399
1
984
Has household received food from health clinic
The primary female respondent.
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
24
2
960
Sysmiss
399
From which sites
The primary female respondent.
From which site(s) have you picked up foods in the last 4 weeks?
(List all)
24
1359
1
Mosoriot
19
2
Ngechek
0
3
Cheptarit
5
4
Beri Beriette
0
5
Chimuswo
0
Sysmiss
1359
From which sites
The primary female respondent.
From which site(s) have you picked up foods in the last 4 weeks?
(List all)
0
1383
1
Mosoriot
0
2
Ngechek
0
3
Cheptarit
0
4
Beri Beriette
0
5
Chimuswo
0
Sysmiss
1383
From which sites
The primary female respondent.
From which site(s) have you picked up foods in the last 4 weeks?
(List all)
0
1383
1
Mosoriot
0
2
Ngechek
0
3
Cheptarit
0
4
Beri Beriette
0
5
Chimuswo
0
Sysmiss
1383
From which sites
The primary female respondent.
From which site(s) have you picked up foods in the last 4 weeks?
(List all)
0
1383
1
Mosoriot
0
2
Ngechek
0
3
Cheptarit
0
4
Beri Beriette
0
5
Chimuswo
0
Sysmiss
1383
From which sites
The primary female respondent.
From which site(s) have you picked up foods in the last 4 weeks?
(List all)
0
1383
1
Mosoriot
0
2
Ngechek
0
3
Cheptarit
0
4
Beri Beriette
0
5
Chimuswo
0
Sysmiss
1383
From which sites
The primary female respondent.
From which site(s) have you picked up foods in the last 4 weeks?
(List all)
0
1383
1
Mosoriot
0
2
Ngechek
0
3
Cheptarit
0
4
Beri Beriette
0
5
Chimuswo
0
Sysmiss
1383
How long did it take to travel (Hours)
The primary female respondent.
24
1359
0
13
1
3
2
7
3
1
Sysmiss
1359
How long did it take to travel (Minutes)
The primary female respondent.
24
1359
0
50
18.75
15.691
Do you perform any other duties
The primary female respondent.
24
1359
1
14
2
1
3
8
4
1
Sysmiss
1359
Do you perform any other duties
The primary female respondent.
0
1383
Sysmiss
1383
Do you perform any other duties
The primary female respondent.
0
1383
Sysmiss
1383
Do you perform any other duties
The primary female respondent.
0
1383
Sysmiss
1383
Do you perform any other duties (other)
The primary female respondent.
1
0
GO TO FARM
1
Which member benefit from the food received
The primary female respondent.
24
1359
1
4
2
3
3
17
Sysmiss
1359
Have you noticed any improvement
The primary female respondent.
24
1359
1
24
Sysmiss
1359
_merge representing consump5
1383
0
0
399
1
984
1383
0
1
399
3
984
Household ID
52966
0
Respondent ID
52966
0
Item code
Ask for all of the following crops/livestock.
Item
52966
0
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
The primary female respondent.
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
5140
2
No
28565
8
1
Sysmiss
19260
HH members eaten (other)
The primary female respondent.
In the past 4 weeks, have members of your household eaten [ITEM] that was grown, kept, or produced by your household? Other (specify).
292
0
How much entire hh consume (Quantity)
The primary female respondent.
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)
The primary female respondent.
How much did the entire household consume in the past 4 weeks? Unit codes.
5141
47825
1
Grams
3
2
Kilograms
91
3
Goro goros (2 Kgs.)
1123
4
Debbes
110
5
Litres
908
6
Bunches
1859
7
Bags/Sacks
13
8
Pieces
1008
9
Tins
1
10
Dozens
10
11
Other (specify)
2
98
13
Sysmiss
47825
How much would it have cost
The primary female respondent.
How much would it have cost to buy this total quantity?
Go to next item.
5141
47825
3
13000
371.859
526.29
Purchased
The primary female respondent.
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
7342
2
No
20210
Sysmiss
25414
Purchased (other)
The primary female respondent.
In the past 4 weeks, have members of your household purchased [ITEM] for consumption by your household? Other (specify).
39
0
How much item purchased (Quantity)
The primary female respondent.
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)
The primary female respondent.
How much did the entire household purchase in the past 4 weeks? Unit.
7342
45624
1
98
5.298
3.211
1
Grams
37
2
Kilograms
1353
3
Goro goros (2 Kgs.)
1456
4
Debbes
76
5
Litres
20
6
Bunches
2111
7
Bags/Sacks
13
8
Pieces
2230
9
Tins
33
10
Dozens
1
11
Other (specify)
8
98
4
Sysmiss
45624
How much did it cost
The primary female respondent.
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
The primary female respondent.
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
6522
2
No
18078
Sysmiss
28366
Purchased (other)
The primary female respondent.
In the past 4 weeks, have members of your household purchased [ITEM] for consumption by your household?
8
0
How much item purchased (Quantity)
The primary female respondent.
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)
The primary female respondent.
How much did the entire household purchase in the past 4 weeks? Unit.
6522
46444
1
Grams
1255
2
Kilograms
3422
3
Goro goros (2 Kgs.)
84
4
Debbes
0
5
Litres
374
6
Bunches
67
7
Bags/Sacks
1
8
Pieces
1062
9
Tins
157
10
Dozens
19
11
Other (specify)
73
20
1
98
7
Sysmiss
46444
How much did it cost
The primary female respondent.
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
The primary female respondent.
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
43
2
No
29
Sysmiss
52894
How much item received (Quantity)
The primary female respondent.
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)
The primary female respondent.
How much did the entire household receive in the past 4 weeks? Units.
43
52923
1
Single serving bags (1.5 kg for maize,)
14
2
12
3
Pieces
16
4
Kilograms
1
Sysmiss
52923
How much would it have cost
The primary female respondent.
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
964
0
Respondent ID
Respondent ID
964
0
Assets module
964
0
1
Yes
964
2
No
0
Household ID
Household ID
964
0
Respondent ID
Respondent ID
964
0
Day of interview
Date of Interview. Day.
964
0
Month of interview
Date of Interview. Month.
964
0
Year of interview
Date of Interview. Year.
964
0
Round 2 day of interveiw
Date of Round 2 interview. Day.
962
2
Round 2 month of interview
Date of Round 2 interview. Month.
962
2
Round 2 year of interview
Date of Round 2 interview. Year.
962
2
Total Land Quantity
The primary male respondent.
How much total land (including plots) do you and members of your household own now? Quantity.
Go to 7 (ass07 - variable name in dataset).]]>
961
3
0
300
7.164
15.939
The primary male respondent.
How much total land (including plots) do you and members of your household own now? Land Unit Code.
Don't include expected inheritances.
822
142
1
acres
819
2
hectares
3
3
square-meters
0
4
square-feet
0
Sysmiss
142
Total Value of Land (KSH)
The primary male respondent.
How much total land (including plots) do you and members of your household own now? Total value if sold today, excluding value of any dwellings and including value of planted trees.
Don't include expected inheritances.
824
140
99
59000011
1061738.618
2768836.975
Has anyone sold land since Round 2
The primary male respondent.
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
47
2
No
916
Sysmiss
1
Count of land sales
45
919
1
1
1
0
Count of land purchases
75
889
1
2
1.04
0.197
_merge representing assets1
964
0
1
964
_merge representing assets1a
964
0
0
917
1
47
Have purchased or acquired land since Round 2
The primary male respondent.
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
0
1
Yes
77
2
No
887
_merge representing assets1b1
964
0
1
964
_merge representing assets1b2
964
0
0
887
1
77
964
0
3
964
Household ID
Household ID
47
0
8
1
14
1
19
1
24
1
26
1
69
1
80
1
84
1
171
1
210
1
361
1
434
1
489
1
521
1
550
1
566
1
597
1
607
1
612
1
621
1
637
1
700
1
712
1
716
1
766
1
805
1
820
1
902
1
913
1
928
1
931
1
954
1
999
1
1012
1
1133
1
1171
1
1215
1
1230
1
1266
1
1270
1
1527
1
1539
1
1540
1
1645
1
1682
1
1725
1
1743
1
Respondent ID
Respondent ID
47
0
1
40
2
5
3
2
Line number
47
0
1
47
Unit
0
47
Sysmiss
47
Month of the sale
The primary male respondent.
When was this sale made? Month.
47
0
1
4
2
4
3
1
4
3
5
7
6
5
7
1
8
3
9
3
10
3
11
4
12
9
Year of the sale
The primary male respondent.
When was this sale made? Year.
47
0
2004
4
2005
34
2006
9
How much land sold - Quantity
The primary male respondent.
How much land did you sell how much money was it sold for? Land Quantity.
47
0
1
50
9.574
12.463
How much land sold - Unit
The primary male respondent.
How much land did you sell how much money was it sold for? Unit code.
47
0
1
Acres
47
2
Hectares
0
3
Sq. meters
0
4
Sq. feet
0
How much land sold - Total sale price
The primary male respondent.
How much land did you sell how much money was it sold for? Total sale price.
47
0
0
450000
110361.702
116077.265
Money share with persons - Amount
The primary male respondent.
How much of this money did you share with persons outside of the household? Amount.
41
6
0
25000
856.049
4168.225
Money share with persons - IRID
The primary male respondent.
How much of this money did you share with persons outside of the household? IRID code.
Use IRID 98 for group.
2
0
Why sold the land
The primary male respondent.
Why did you sell this land?
46
1
1
Health expenses
12
2
School fees
7
3
Buy/invest in a business
5
4
Raise money for planting season
1
5
Wedding or other ceremony
2
6
Other (specify)
19
Sysmiss
1
Why sold the land (Other)
The primary male respondent.
Why did you sell this land? Other (specify).
19
0
Household ID
Household ID
80
0
Respondent ID
Respondent ID
80
0
Line number
80
0
Unit
The primary male respondent.
0
80
Month when got the plot
The primary male respondent.
When did you get this plot or piece of land? Month.
Probe for exact month.
80
0
Year when got the plot
The primary male respondent.
When did you get this plot or piece of land? Year.
Year should be 2005 or 06.
80
0
How aquired the land
The primary male respondent.
How did you acquire this land?
If answer is 3, 4 or 5 > Go to next purchase.
80
0
1
Bought with cash
72
2
Bought on credit
1
3
Gift
2
4
Inherited
5
5
Other (specify)
0
How aquired the land (Other)
The primary male respondent.
How did you acquire this land? Other (specify).
0
0
How much land got - Quantity
The primary male respondent.
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
The primary male respondent.
How much land did you get and how much did you pay for this land? Land Unit code.
78
2
1
Acres
76
2
Hectares
0
3
Sq. meters
0
4
Sq. feet
1
8
1
Sysmiss
2
How much land got - Total purchase
The primary male respondent.
How much land did you get and how much did you pay for this land? Total purchase price.
76
4
0
400000
92178.921
98194.691
Amount that remains to be paid
The primary male respondent.
How much of this amount remains to be paid? Amount in KSh.
74
6
0
100000
5670.243
18004.96
Anyone outside HH helped in paying
The primary male respondent.
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
5
2
No
69
Sysmiss
6
Who helped to pay - Amount
The primary male respondent.
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
The primary male respondent.
Who helped you pay for this land, and how much money did they give? IRID 1.
5
0
Who helped to pay - Amount
The primary male respondent.
Who helped you pay for this land, and how much money did they give? Amt 2.
1
79
Who helped to pay - IRID
The primary male respondent.
Who helped you pay for this land, and how much money did they give? IRID 2.
0
0
Have to pay them anything
The primary male respondent.
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
3
2
No
2
Sysmiss
75
Value of the money that have to pay
The primary male respondent.
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
964
0
Respondent ID
Respondent ID
964
0
Assets module
964
0
1
Yes
964
2
No
0
Household ID
Household ID
964
0
Respondent ID
Respondent ID
964
0
Day of interview
Date of Interview. Day.
964
0
Month of interview
Date of Interview. Month.
964
0
Year of interview
Date of Interview. Year.
964
0
Round 2 day of interveiw
Date of Round 2 interview. Day.
962
2
Round 2 month of interview
Date of Round 2 interview. Month.
962
2
Round 2 year of interview
Date of Round 2 interview. Year.
962
2
Anyone sold or given as gift since Jan 2000
Primary male respondent
Have you or anyone in your household sold or given as gift any livestock since [Round 2]?
If answer is 2 > Go to section II-b (Acquisitions)(assl10 - variable name in dataset).
964
0
1
Yes
474
2
No
490
Count of livestock sales
474
490
1
5
1.538
0.809
_merge representing assets2
964
0
1
964
_merge representing assets2a
964
0
0
490
1
474
Have purchased or aquired livestock
Primary male respondent
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
0
1
Yes
594
2
No
370
Count of livestock purchased
Primary male respondent
594
370
1
5
1.87
1.084
_merge representing assets2b1
964
0
1
964
_merge representing assets2b2
964
0
0
370
1
594
964
0
3
964
Household ID
Household ID
3856
0
Respondent ID
Respondent ID
3856
0
Livestock
The primary male respondent.
LIVESTOCK
3856
0
1
964
2
964
3
964
4
964
Number Owned
The primary male respondent.
How many [Livestock] do members of your household currently own?
3856
0
0
98
3.233
5.356
Total Value Owned
The primary male respondent.
What is the total value of all the [Livestock] currently owned?
2478
1378
50
630000
21273.916
44890.42
Household ID
Household ID
729
0
Respondent ID
Respondent ID
729
0
Line Number
0
729
Livestock code
The primary male respondent.
Livestock Code
729
0
1
Cattle, including cows
361
2
Calves
94
3
Goats
7
4
Sheep
264
5
Pigs
0
6
Chickens
1
7
Other animals (specify)
2
Livestock code (other)
The primary male respondent.
Please describe each livestock sale and gift by you or someone in your household since [Round 2].
2
0
When was the sale - Month
The primary male respondent.
When was this sale or gift? Month.
Probe for exact month.
729
0
When was the sale - Year
The primary male respondent.
When was this sale or gift? Year.
Year should be 2005 or 06.
729
0
Quantity of livestock sold - Quantity
The primary male respondent.
What was the quantity of [LIVESTOCK] sold and how much did you get in total? Quantity sold/gifted.
729
0
1
26
1.918
1.91
Quantity of livestock sold - Amount
The primary male respondent.
What was the quantity of [LIVESTOCK] sold and how much did you get in total?Total sale amount.
Go to 9 (assl09 - variable name in dataset).]]>
725
4
0
160000
11995.226
14702.576
Share money with anyone outside HH
The primary male respondent.
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
14
2
No
694
8
5
Sysmiss
16
Amount that went to someone - Amount
The primary male respondent.
How much of this amount went to someone else outside of your household? Amt.
14
715
0
13000
4157
4384.33
Amount that went to someone - IRID
The primary male respondent.
How much of this amount went to someone else outside of your household? IRID.
11
0
Amount that went to someone - Amount
The primary male respondent.
How much of this amount went to someone else outside of your household? Amt.
0
729
Amount that went to someone - IRID
The primary male respondent.
How much of this amount went to someone else outside of your household? IRID.
0
0
Amount that went to someone - Amount
The primary male respondent.
How much of this amount went to someone else outside of your household? Amt.
0
729
Amount that went to someone - IRID
The primary male respondent.
How much of this amount went to someone else outside of your household? IRID.
0
0
Why sold the livestock
The primary male respondent.
Why did you sell this [LIVESTOCK]?
727
2
1
Health expenses
48
2
School fees
196
3
Buy/invest in a business
75
4
Raise money for planting season
147
5
Wedding or other ceremony
24
6
Other (specify)
232
8
3
9
2
Sysmiss
2
Why sold the livestock (Other)
The primary male respondent.
Why did you sell this [LIVESTOCK]? Other (specify).
229
0
Household ID
Household ID
1111
0
Respondent ID
Respondent ID
1111
0
Line Number
0
1111
Livestock code
The primary male respondent.
Please describe each livestock purchases or acquisition by you or someone in your household since [Round 2].
Livestock Code
1111
0
1
Cattle, including cows
145
2
Calves
616
3
Goats
5
4
Sheep
344
5
Pigs
0
6
Chickens
0
7
Other animals (specify)
1
Livestock code (other)
The primary male respondent.
Livestock Code. Other (specify).
0
0
When was the purchase - Month
The primary male respondent.
When was this acquisition? Month.
1111
0
When was the purchase - Year
The primary male respondent.
When was this acquisition? Year.
1111
0
How aquired the livestock
The primary male respondent.
How did you acquire this [LIVESTOCK]?
If answer is 2 or 3 > Go to next purchase.
1111
0
1
Bought or borrowed
248
2
Gift
20
3
Inherited
2
4
Other (specify)
3
5
Birth
838
How aquired the livestock (Other)
The primary male respondent.
How did you acquire this [LIVESTOCK]? Other (specify).
3
0
Quantity of livestock purchased - Quantity
The primary male respondent.
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
The primary male respondent.
What was the quantity of [LIVESTOCK] purchased/gifted and how much did you pay in total? Total amount paid.
447
664
0
75000
4384.085
7304.531
Anyone outside HH help to pay - Amount
The primary male respondent.
Did anyone outside of your household help you pay? Amt.
311
800
0
5000
32.469
335.346
Anyone outside HH help to pay - IRID
The primary male respondent.
Did anyone outside of your household help you pay? IRID.
6
0
Anyone outside HH help to pay - Amount
The primary male respondent.
Did anyone outside of your household help you pay? Amt.
1
1110
0
0
0
Anyone outside HH help to pay - IRID
The primary male respondent.
Did anyone outside of your household help you pay? IRID.
0
0
Anyone outside HH help to pay - Amount
The primary male respondent.
Did anyone outside of your household help you pay? Amt.
0
1111
Anyone outside HH help to pay - IRID
The primary male respondent.
Did anyone outside of your household help you pay? IRID.
0
0
Household ID
Household ID
8676
0
Respondent ID
Respondent ID
8676
0
Assets module
8676
0
1
Yes
8676
2
No
0
Household ID
Household ID
8676
0
Respondent ID
Respondent ID
8676
0
Day of interview
Date of Interview. Day.
8676
0
Month of interview
Date of Interview. Month.
8676
0
Year of interview
Date of Interview. Year.
8676
0
Round 2 day of interveiw
Date of Round 2 interview. Day.
8658
18
Round 2 month of interview
Date of Round 2 interview. Month.
8658
18
Round 2 year of interview
Date of Round 2 interview. Year.
8658
18
Item
The primary male respondent.
ITEMS
8676
0
How many currently own (other)
The primary male respondent.
ITEMS. Other (specify).
2
0
How many currently own
The primary male respondent.
How many [ITEMS] do members of your household currently own?
8676
0
0
13
0.817
1.299
Total value
The primary male respondent.
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
0
3
8676
Household ID
Household ID
964
0
Respondent ID
Respondent ID
964
0
Assets module
964
0
1
Yes
964
2
No
0
Household ID
Household ID
964
0
Respondent ID
Respondent ID
964
0
Day of interview
Date of Interview. Day.
964
0
Month of interview
Date of Interview. Month.
964
0
Year of interview
Date of Interview. Year.
964
0
Round 2 day of interveiw
Date of Round 2 interview. Day.
962
2
Round 2 month of interview
Date of Round 2 interview. Month.
962
2
Round 2 year of interview
Date of Round 2 interview. Year.
962
2
Have sold or given as a gift farm equipments
The primary male respondent.
Have you or members of your household sold or given as a gift a tractor, trailer, plough, or other such large farm equipment since [Round 2]?
If answer is 2 > Go to section IV-b (Acquisitions)(asse12 - variable name in dataset).
964
0
1
Yes
8
2
No
956
Count of equipment sold
Primary male respondent
8
956
1
2
1.125
0.354
_merge representing assets4
964
0
1
964
_merge representing assets4a
964
0
0
956
1
8
Have purchased tractor, trailer... since Round 2
The primary male respondent.
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
0
1
Yes
12
2
No
952
Count of purchased equipment
Primary male respondent
12
952
1
2
1.167
0.389
_merge representing assets4b1
964
0
1
964
_merge representing assets4b2
964
0
0
952
1
12
964
0
3
964
Household ID
Household ID
9
0
Respondent ID
Respondent ID
9
0
Equipment code
The primary male respondent.
Please describe each equipment sale or gift by you or someone in your household since [Round 1].
Equipment code
9
0
1
Tractors
4
2
Trailers
0
3
Ploughs
2
4
Carts
0
5
Other animal drawn equipment
2
6
Watering equipment/sprinklers
0
7
Wheelbarrows
0
8
Chain saws
0
9
Other equipment/implements (specify)
1
Equipment code (other)
The primary male respondent.
Equipment code. Other (specify).
1
0
When was the sale - Month
The primary male respondent.
When was this sale or gift? Month.
9
0
When was the sale - Year
The primary male respondent.
When was this sale or gift? Year.
9
0
How much sold the equipment
The primary male respondent.
How much did you sell this … for? Amount.
Go to 11 (assf11 - variable name in dataset).]]>
9
0
2000
750000
222000
257480.096
Share money with anyone outside HH
The primary male respondent.
Did you share this money with anyone outside of the household?
If answer is 2 > Go to 11 (assf11 - variable name in dataset).
9
0
1
Yes
2
2
No
7
How much went to someone - Amount
The primary male respondent.
How much of this amount went to someone else outside of your household? Amt.
(Ask for amount and IRID of each recipient)
2
7
1000
150000
75500
105358.91
How much went to someone - IRID
The primary male respondent.
How much of this amount went to someone else outside of your household? IRID.
2
0
How much went to someone - Amount
The primary male respondent.
How much of this amount went to someone else outside of your household? Amt.
(Ask for amount and IRID of each recipient)
1
8
How much went to someone - IRID
The primary male respondent.
How much of this amount went to someone else outside of your household? IRID.
1
0
How much went to someone - Amount
The primary male respondent.
How much of this amount went to someone else outside of your household? Amt.
(Ask for amount and IRID of each recipient)
1
8
How much went to someone - IRID
The primary male respondent.
How much of this amount went to someone else outside of your household? IRID.
1
0
Why sold the equipement
The primary male respondent.
Why did you sell this equipment?
9
0
1
Health expenses
0
2
School fees
0
3
Buy/invest in a business
2
4
Raise money for planting season
1
5
Wedding or other ceremony
0
6
Other (specify)
5
9
1
Why sold the equipement (Other)
The primary male respondent.
Why did you sell this equipment? Other (specify).
5
0
Household ID
14
0
Respondent ID
14
0
Equipment code
The primary male respondent.
Please describe each equipment purchase or gift to you or someone in your household since [Round 1].
Equipment code
14
0
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)
The primary male respondent.
Please describe each equipment purchase or gift to you or someone in your household since [Round 1].
Equipment code. Other (specify).
2
0
When was the acquisition - Month
The primary male respondent.
When was this acquisition? Month.
14
0
When was the acquisition - Year
The primary male respondent.
When was this acquisition? Year.
14
0
How aqcuired the equipment
The primary male respondent.
How did you acquire this equipment?
If answer is 2 or 3 > Go to next purchase.
14
0
1
Bought or borrowed
14
2
Gift
0
3
Inherited
0
4
Other (specify)
0
How aqcuired the equipment (Other)
The primary male respondent.
How did you acquire this equipment? Other (specify).
0
0
Quantity of equipment purchased - Quantity
The primary male respondent.
What was the quantity of equipment purchased/gifted and how much did you pay in total? Quantity purchased/gifted.
14
0
1
1
1
0
Quantity of equipment purchased - Total amount paid
The primary male respondent.
What was the quantity of equipment purchased/gifted and how much did you pay in total? Total amount paid.
14
0
4000
300000
147657.143
116694.01
How much remains to be paid (Ksh)
The primary male respondent.
How much of this amount remains to be paid?
14
0
0
70000
5000
18708.287
Anyone outside HH help to pay - Amount
The primary male respondent.
Did anyone outside of your household help you pay? Amt.
8
6
0
100000
12500
35355.339
Anyone outside HH help to pay - IRID
The primary male respondent.
Did anyone outside of your household help you pay? IRID.
1
0
Anyone outside HH help to pay - Amount
The primary male respondent.
Did anyone outside of your household help you pay? Amt.
0
14
Anyone outside HH help to pay - IRID
The primary male respondent.
Did anyone outside of your household help you pay? IRID.
0
0
Anyone outside HH help to pay - Amount
The primary male respondent.
Did anyone outside of your household help you pay? Amt.
0
14
Anyone outside HH help to pay - IRID
The primary male respondent.
Did anyone outside of your household help you pay? IRID.
0
0
Household ID
Household ID
9640
0
Respondent ID
Respondent ID
9640
0
Assets module
9640
0
1
Yes
9640
2
No
0
Household ID
Household ID
9640
0
Respondent ID
Respondent ID
9640
0
Day of interview
Date of Interview. Day.
9640
0
Month of interview
Date of Interview. Month.
9640
0
Year of interview
Date of Interview. Year.
9640
0
Round 2 day of interveiw
Date of Round 2 interview. Day.
9620
20
Round 2 month of interview
Date of Round 2 interview. Month.
9620
20
Round 2 year of interview
Date of Round 2 interview. Year.
9620
20
Item
The primary male respondent.
ITEMS
9640
0
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
The primary male respondent.
How many [ITEMS] do members of your household currently own?
9640
0
0
98
0.295
1.178
Total value
The primary male respondent.
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
0
3
9640
Household ID
Household ID
964
0
Respondent ID
Respondent ID
964
0
Assets module
964
0
1
Yes
964
2
No
0
Household ID
Household ID
964
0
Respondent ID
Respondent ID
964
0
Day of interview
Date of Interview. Day.
964
0
Month of interview
Date of Interview. Month.
964
0
Year of interview
Date of Interview. Year.
964
0
Round 2 day of interveiw
Date of Round 2 interview. Day.
962
2
Round 2 month of interview
Date of Round 2 interview. Month.
962
2
Round 2 year of interview
Date of Round 2 interview. Year.
962
2
Sold or given as agift a vehicle
The primary male respondent.
Have you or members of your household sold or given as a gift a vehicle (such as a car, bicycle, etc) since [Round 2]?
If answer is 2 > Go to section VI-b (Acquisitions)(assv11 - variable name in dataset).
964
0
1
Yes
48
2
No
916
Count of vehicle sales
Primary male respondent
48
916
1
3
1.083
0.347
_merge representing assets6
964
0
1
964
_merge representing assets6a
964
0
0
916
1
48
Have purchased a vehicle since Round 2
The primary male respondent.
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
0
1
Yes
80
2
No
884
Count of vehicle
80
884
1
1
1
0
_merge representing assets6b1
964
0
1
964
_merge representing assets6b2
964
0
0
884
1
80
964
0
3
964
Household ID
Household ID
52
0
Respondent ID
Respondent ID
52
0
Line number
The primary male respondent.
Please describe each vehicle sale or gift by you or someone in your household since [Round 2].
0
52
Vehicle code
The primary male respondent.
Vehicle code
52
0
1
Car/pickup
2
Truck
3
Motorcycle
4
Matatu/business vehicle
5
Bicycle
6
Other (specify)
Vehicle code (other)
The primary male respondent.
Vehicle code. Other (specify).
1
0
RADIO
1
When was the sale - Month
The primary male respondent.
When was this sale or gift? Month.
* exact month,
52
0
When was the sale - Year
The primary male respondent.
When was this sale or gift? Year.
52
0
How much did you sell
The primary male respondent.
How much did you sell this … for?
Go to 10 (assv10 - variable name in dataset).]]>
52
0
0
550000
25351.923
86696.942
Shared money with anyone outside HH
The primary male respondent.
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
1
2
No
50
Sysmiss
1
How much went to someone - Amount
The primary male respondent.
How much of this amount went to someone else outside of your household? Amt.
Ask for amount and IRID of each recipient.
1
51
65000
65000
65000
How much went to someone - IRID
The primary male respondent.
How much of this amount went to someone else outside of your household? IRID.
1
0
How much went to someone - Amount
The primary male respondent.
How much of this amount went to someone else outside of your household? Amt.
Ask for amount and IRID of each recipient.
0
52
How much went to someone - IRID
The primary male respondent.
How much of this amount went to someone else outside of your household? IRID.
0
0
How much went to someone - Amount
The primary male respondent.
How much of this amount went to someone else outside of your household? Amt.
Ask for amount and IRID of each recipient.
0
52
How much went to someone - IRID
The primary male respondent.
How much of this amount went to someone else outside of your household? IRID.
0
0
Why sold the vehicle
The primary male respondent.
Why did you sell this vehicle?
52
0
1
Health expenses
4
2
School fees
7
3
Buy/invest in a business
7
4
Raise money for planting season
7
5
Wedding or other ceremony
2
6
Other (specify)
25
Why sold the vehicle (Other)
The primary male respondent.
Why did you sell this vehicle? Other (specify).
25
0
Household ID
Household ID
80
0
Respondent ID
Respondent ID
80
0
Line Number
The primary male respondent.
0
80
Vehicle code
The primary male respondent.
Vehicle code
80
0
1
Car/pickup
10
2
Truck
1
3
Motorcycle
0
4
Matatu/business vehicle
1
5
Bicycle
68
6
Other (specify)
0
Vehicle code (other)
The primary male respondent.
Vehicle code. Other (specify).
0
0
When was the acquisition - Month
The primary male respondent.
When was this acquisition? Month.
80
0
When was the acquisition - Year
The primary male respondent.
When was this acquisition? Year.
80
0
How many vehicles were acquired - Quantity
The primary male respondent.
How many [vehicles] were acquired and how much did was paid in total? Quantity.
80
0
1
2
1.013
0.112
How many vehicles were acquired - Total value
The primary male respondent.
How many [vehicles] were acquired and how much did was paid in total? Total value.
80
0
600
500000
35386.25
92139.641
How acquired the vehicle
The primary male respondent.
How did you acquire this vehicle?
If answer is 2 or 3 > Go to next purchase.
80
0
1
Bought or borrowed
80
2
Gift
0
3
Inherited
0
4
Other (specify)
0
How acquired the vehicle (Other)
The primary male respondent.
How did you acquire this vehicle? Other (specify).
0
0
Anyone outside help to pay - Amount
The primary male respondent.
Did anyone outside of your household help you pay? Amt.
65
15
0
30000
476.923
3721.171
Anyone outside help to pay - IRID
The primary male respondent.
Did anyone outside of your household help you pay? IRID.
2
0
Anyone outside help to pay - Amount
The primary male respondent.
Did anyone outside of your household help you pay? Amt.
0
80
Anyone outside help to pay - IRID
The primary male respondent.
Did anyone outside of your household help you pay? IRID.
0
0
Anyone outside help to pay - Amount
The primary male respondent.
Did anyone outside of your household help you pay? Amt.
0
80
Anyone outside help to pay - IRID
The primary male respondent.
Did anyone outside of your household help you pay? IRID.
0
0
Household ID
Household ID
2385
0
Respondent ID
Respondent ID
2385
0
Assets module
2385
0
1
Yes
2385
2
No
0
Household ID
Household ID
2385
0
Respondent ID
Respondent ID
2385
0
Day of interview
Date of Interview. Day.
2385
0
Month of interview
Date of Interview. Month.
2385
0
Year of interview
Date of Interview. Year.
2385
0
Round 2 day of interveiw
Date of Round 2 interview. Day.
2382
3
Round 2 month of interview
Date of Round 2 interview. Month.
2382
3
Round 2 year of interview
Date of Round 2 interview. Year.
2382
3
Members Listed in Bequests Section
2385
0
1
187
2
314
3
354
4
440
5
1085
6
5
_merge representing assets7count
2385
0
1
2385
Line Number
The primary male respondent.
0
2385
ID Code of person whom you expect to inherit
The primary male respondent.
2385
0
Share/Percent this person will inherit
The primary male respondent.
2385
0
4
100
31.647
24.013
_merge representing assets7
2385
0
1
2385
2385
0
3
2385
Household ID
Household ID
4378
0
Respondent ID
Respondent ID
4378
0
Income module done
4378
0
1
Yes
4378
2
No
0
Household ID
Household ID
4378
0
Respondent ID
Respondent ID
4378
0
Day of interview
Date of Interview. Day.
4378
0
Month of interview
Date of Interview. Month.
4378
0
Year of interview
Date of Interview. Year.
4378
0
Count of section A
4378
0
1
14
5.642
2.373
Count of section B
4378
0
0
7
0.739
0.962
Count of Section C
4378
0
0
11
3.868
2.225
Count of Section D
4378
0
0
4
0.531
0.736
Count of Section E
4378
0
1
12
3.606
1.862
_merge representing incomea
4378
0
1
4378
_merge representing incomeb
4378
0
0
2187
1
2191
_merge representing incomec
4378
0
0
280
1
4098
_merge representing incomed
4378
0
0
2574
1
1804
_merge representing incomef
4378
0
1
4378
4378
0
3
4378
Line number
The primary male respondent.
All household members 8 years and older
0
4378
ID code - Income module
The primary male respondent.
ID Code
List the ID codes of all household members 8 years and older.
All household members 8 years and older
4378
0
During past 7 day worked for someone who is not a member
The primary male respondent.
During the past 7 days, has [NAME] worked for someone who is not a member of your household, for example, an employer, a firm, the government or some other person outside of your household?
If answer is 1 > Go to 4 (in04 - variable name in dataset).
All household members 8 years and older
4378
0
1
Yes
632
2
No
3741
8
1
9
4
During past 6 months worked for someone who is not member
The primary male respondent.
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
358
2
No
3355
8
25
9
3
Sysmiss
637
During past 7 days worked on field belonging to someone
The primary male respondent.
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
3004
2
No
1364
8
2
9
7
Sysmiss
1
During past 6 months worked on field belonging to someone
The primary male respondent.
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
934
2
No
413
8
24
9
2
Sysmiss
3005
During past 7 days done non-farm work
The primary male respondent.
During the past 7 days, has [NAME] done non-farm work for someone in your household? For example in an independent business/duka, or in some other self-employed activity?
If answer is 1 > Go to next person.
All household members 8 years and older
4376
2
1
Yes
472
2
No
3889
8
13
9
2
Sysmiss
2
During past 6 months done non-farm work
The primary male respondent.
Go to next person.
All household members 8 years and older
3904
474
1
Yes
120
2
No
3756
8
26
9
2
Sysmiss
474
Line number
The primary male respondent.
All hosuehold members who worked as an employee in the past 7 days.
0
4378
ID Code
The primary male respondent.
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
What did do for this work
The primary male respondent.
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
9
2
Animal farmer
9
3
Housewife
0
4
Trader/merchant/salesperson
9
5
Transport worker
209
6
Construction worker
115
7
Teacher/education professional
349
8
Health professional/TBA/trad. Healer
45
9
Secretary/clerical
104
10
Factory worker
29
11
Restaurant/bar/hotel
108
12
Skilled trades (carpenter, tailor, etc.)
54
13
Preacher/pastor
37
14
Village elder
1
15
Domestic worker
150
16
Civil Servant/Government
200
17
Other (specify)
387
41
Operating Kiosk/Duka
17
42
Trading (buying & selling) vegetables
0
43
Trading chickens, eggs, etc.
0
44
Trading clothes (mtumba)
0
45
Trading milk
15
46
Making local brew / beer
0
47
Boda-boda operator
0
88
No activity/unemployed
0
99
Don’t Know
8
What did do for this work (Other)
The primary male respondent.
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
0
How many hours work in past 7 days
The primary male respondent.
How many hours did [NAME] do this work in the past 7 days (since last ___)?[Total no. of hours]
All hosuehold members who worked as an employee in the past 7 days.
2191
2187
0
99
42.276
23.139
Number of hours usually work at job in a week
The primary male respondent.
Is this the number of hours [NAME] usually work at this job in a week?
If answer is 1 > Go to 7 (inb07 - variable name in dataset).
All hosuehold members who worked as an employee in the past 7 days.
2141
2237
1
9
1.417
1.354
1
Yes
1678
2
No
401
Why did not work the usual number of hours
The primary male respondent.
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
34
2
Illness of family member
8
3
Overtime due to illness of other employee
0
4
Other overtime
0
5
Public or religious holiday
2
6
Vacation
149
7
Funeral/mourning period
0
8
Other (specify)
206
Why did not work the usual number of hours (Other)
The primary male respondent.
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
0
For how many hours per week usual work
The primary male respondent.
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
0
99
65.09
30.602
How many weeks during past 6 months did work
The primary male respondent.
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
0
99
22.339
14.579
What type of employer did work for
The primary male respondent.
All hosuehold members who worked as an employee in the past 7 days.
2191
2187
1
Govt./parastatal
496
2
Private employer
1600
3
Cooperative union
13
4
NGO
10
5
Other (specify)
72
Sysmiss
2187
Is position temporary or permanent
The primary male respondent.
Is [NAME’s] position temporary or permanent?
All hosuehold members who worked as an employee in the past 7 days.
2191
2187
1
Temporary
1507
2
Permanent
676
9
8
Sysmiss
2187
Received a salary or payment of any kind for work
The primary male respondent.
In the past month, did [NAME] receive a salary or payment of any kind for this work?
If answer is 2 > Go to 12 (in12 - variable name in dataset).
All hosuehold members who worked as an employee in the past 7 days.
2191
2187
1
Yes
2143
2
No
25
8
6
9
17
Sysmiss
2187
Net salary for work in the last month
The primary male respondent.
In the past month, what is [NAME's] net salary/payment for this work?
Exclude housing allowances, but include per diem and the value of all payments in kind.
All 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
The primary male respondent.
Has [NAME] received or will he/she receive any housing (or money for housing) connected with this work?
If answer is 2 > Go to 14 (in14 - variable name in dataset).
All hosuehold members who worked as an employee in the past 7 days.
2191
2187
1
Yes
583
2
No
1573
9
35
Sysmiss
2187
What is the value of housing allowance
The primary male respondent.
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
The primary male respondent.
In the past 7 days has [NAME] worked as an employee at any other job?
If answer is 2 > Go to next person.
All hosuehold members who worked as an employee in the past 7 days.
2187
2191
1
Yes
21
2
No
2144
8
14
9
8
Sysmiss
2191
Line number
The primary male respondent.
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.
0
4378
ID code
The primary male respondent.
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
Past 7 days worked on hhold shamba
The primary male respondent.
[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
3227
2
No
871
Sysmiss
280
How much time spend on working in past 7 days
The primary male respondent.
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
0
99
11.55
9.991
How much time spend on preparing in past 7 days
The primary male respondent.
In the past 7 days, how much time did [NAME] spend preparing or processing crops (e.g., drying maize, milling, or brewing) for sale or home consumption?
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
0
99
1.821
10.081
Main crops that devoted time - A in past 7 days
The primary male respondent.
On these shambas/gardens belonging to your household, which were the four MAIN crops that [NAME] devoted his/her time to in the past 7 days?
List up to 4 crops.
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
2350
2
Wheat
0
3
Millet or sorghum
16
4
Rice
0
5
Beans, peas, cowpeas, other pulses
285
6
Cabbage
13
7
Sukuma wiki
171
8
Spinach
18
9
Yams or Sweet potatoes
17
10
Irish potatoes
23
11
Cassava
1
12
Groundnuts
0
13
Sunflower seeds
0
14
Tomatoes
0
15
Onions, leeks
20
16
Eggplant
0
17
Carrots
0
18
Capsicums/Green Peppers
0
19
Chillies
0
20
Coffee
0
21
Tea
64
22
Tobacco
0
23
Cotton
2
24
Lumber, wood
1
25
Oil palm/palm oil
0
26
Honey or Sugarcane
5
27
Avocado
0
28
Bananas
20
29
Mangoes
0
30
Oranges/Citrus fruits
0
31
Pineapple
11
32
Sugarcane
3
33
Other fruits (specify)
4
34
Other vegetables (specify)
47
35
15
37
118
98
6
Sysmiss
1168
Main crops that devoted time - B in past 7 days
The primary male respondent.
On these shambas/gardens belonging to your household, which were the four MAIN crops that [NAME] devoted his/her time to in the past 7 days?
List up to 4 crops.
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
105
2
Wheat
1
3
Millet or sorghum
21
4
Rice
0
5
Beans, peas, cowpeas, other pulses
1784
6
Cabbage
29
7
Sukuma wiki
280
8
Spinach
22
9
Yams or Sweet potatoes
6
10
Irish potatoes
46
11
Cassava
1
12
Groundnuts
0
13
Sunflower seeds
0
14
Tomatoes
4
15
Onions, leeks
31
16
Eggplant
0
17
Carrots
1
18
Capsicums/Green Peppers
0
19
Chillies
5
20
Coffee
0
21
Tea
47
22
Tobacco
0
23
Cotton
0
24
Lumber, wood
0
25
Oil palm/palm oil
0
26
Honey or Sugarcane
4
27
Avocado
3
28
Bananas
15
29
Mangoes
0
30
Oranges/Citrus fruits
0
31
Pineapple
1
32
Sugarcane
4
33
Other fruits (specify)
4
34
Other vegetables (specify)
38
35
31
37
232
Sysmiss
1663
Main crops that devoted time - C in past 7 days
The primary male respondent.
On these shambas/gardens belonging to your household, which were the four MAIN crops that [NAME] devoted his/her time to in the past 7 days?
List up to 4 crops.
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
51
2
Wheat
3
3
Millet or sorghum
18
4
Rice
3
5
Beans, peas, cowpeas, other pulses
112
6
Cabbage
77
7
Sukuma wiki
422
8
Spinach
13
9
Yams or Sweet potatoes
21
10
Irish potatoes
56
11
Cassava
2
12
Groundnuts
0
13
Sunflower seeds
0
14
Tomatoes
19
15
Onions, leeks
26
16
Eggplant
0
17
Carrots
1
18
Capsicums/Green Peppers
0
19
Chillies
0
20
Coffee
0
21
Tea
35
22
Tobacco
0
23
Cotton
0
24
Lumber, wood
0
25
Oil palm/palm oil
0
26
Honey or Sugarcane
5
27
Avocado
20
28
Bananas
41
29
Mangoes
0
30
Oranges/Citrus fruits
0
31
Pineapple
2
32
Sugarcane
0
33
Other fruits (specify)
1
34
Other vegetables (specify)
59
35
97
36
10
37
339
Sysmiss
2945
Main crops that devoted time - D in past 7 days
The primary male respondent.
On these shambas/gardens belonging to your household, which were the four MAIN crops that [NAME] devoted his/her time to in the past 7 days?
List up to 4 crops.
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
4
2
Wheat
0
3
Millet or sorghum
9
4
Rice
0
5
Beans, peas, cowpeas, other pulses
38
6
Cabbage
35
7
Sukuma wiki
226
8
Spinach
28
9
Yams or Sweet potatoes
11
10
Irish potatoes
22
11
Cassava
1
12
Groundnuts
0
13
Sunflower seeds
0
14
Tomatoes
10
15
Onions, leeks
19
16
Eggplant
0
17
Carrots
6
18
Capsicums/Green Peppers
0
19
Chillies
0
20
Coffee
0
21
Tea
5
22
Tobacco
0
23
Cotton
0
24
Lumber, wood
0
25
Oil palm/palm oil
0
26
Honey or Sugarcane
0
27
Avocado
8
28
Bananas
12
29
Mangoes
0
30
Oranges/Citrus fruits
2
31
Pineapple
0
32
Sugarcane
1
33
Other fruits (specify)
2
34
Other vegetables (specify)
19
35
69
37
164
Sysmiss
3687
Main crops that devoted time - D in past 7 days (Other)
The primary male respondent.
On these shambas/gardens belonging to your household, which were the four MAIN crops that [NAME] devoted his/her time to in the past 7 days? 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
0
How much earn in from the sales in past 1 month
The primary male respondent.
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
0
27000
68.034
642.163
Spent any time caring for animals in past 7 days
The primary male respondent.
[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
3504
2
No
593
8
1
Sysmiss
280
How many hours spend caring for animals in past 7 days
The primary male respondent.
In the past 7 days, how many hours did [NAME] spend feeding, caring for, tending and transporting any animals belonging to your household? Total hours for a week.
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
0
99
9.126
9.795
How many hours spend collecting products of animals in past
The primary male respondent.
In the past 7 days, how many hours did [NAME] spend collecting or transforming the products of your household's animals (e.g. milk, eggs, honey) for sale or home consumption? Total hrs for the week?
Note this includes time 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
0
99
1.963
5.927
How much net income did receive in past 1 month
The primary male respondent.
In the past one month, how much net income did [NAME] receive from the sale of products from these animals (e.g., milk, honey, eggs)? Amount in KSh.
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
0
60000
388.683
1667.656
Line number
The primary male respondent.
I would like to ask you some questions about the work your household members did in the past 7 days (since last…) in their own business or in your household's business.
All household members 8 years and older who did nonfarm work in a business belonging to the household in the past 7 days.
0
4378
ID Code
The primary male respondent.
ID Code
All household members 8 years and older who did nonfarm work in a business belonging to the household in the past 7 days.
1804
2574
What type of business
The primary male respondent.
What type of business or self-employment did [NAME] work at in the past 7 days? What kind of trade, industry or business is it connected with?
[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
5
2
Animal farmer
0
3
Housewife
0
4
Trader/merchant/salesperson
73
5
Transport worker
31
6
Construction worker
3
7
Teacher/education professional
0
8
Health professional/TBA/trad. Healer
5
9
Secretary/clerical
0
10
Factory worker
0
11
Restaurant/bar/hotel
62
12
Skilled trades (carpenter, tailor, etc.)
185
13
Preacher/pastor
0
14
Village elder
0
15
Domestic worker
0
16
Civil Servant/Government
0
17
Other (specify)
509
41
Operating Kiosk/Duka
247
42
Trading (buying & selling) vegetables
244
43
Trading chickens, eggs, etc.
53
44
Trading clothes (mtumba)
54
45
Trading milk
121
46
Making local brew / beer
151
47
Boda-boda operator
47
88
No activity/unemployed
0
99
Don’t Know
0
What type of business (Other)
The primary male respondent.
What type of business or self-employment did [NAME] work at in the past 7 days? What kind of trade, industry or business is it connected with? 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
0
How many hours worked in past 7 days
The primary male respondent.
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
0
99
30.683
20.67
Number of hours usually work
The primary male respondent.
Is this the number of hours [NAME] usually works at this business in a week?
If answer is 1 > Go to 6 (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
1498
2
No
290
8
1
9
4
Sysmiss
2585
For how many hours per week usually work
The primary male respondent.
For how many hours per week does [NAME] usually work at this business? Total hrs for a week.
All household members 8 years and older who did nonfarm work in a business belonging to the household in the past 7 days.
295
4083
0
99
54.963
35.259
How many weeks during 6 months did work
The primary male respondent.
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
The primary male respondent.
In the past month, how much net income did [NAME] receive from this business? Amount in KSh.
All household members 8 years and older who did nonfarm work in a business belonging to the household in the past 7 days.
1799
2579
0
250000
4403.714
14098.746
Worked in any other business in past 7 days
The primary male respondent.
In the past 7 days has [NAME] worked in any other business of your household?
If answer is 2 > Go to next person.
All household members 8 years and older who did nonfarm work in a business belonging to the household in the past 7 days.
1799
2579
1
Yes
40
2
No
1758
8
1
Sysmiss
2579
Line number
The primary male respondent.
All individuals in the household that are 18 years or older.
0
4378
ID Code
The primary male respondent.
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
0
Main job 5 years ago
The primary male respondent.
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
0
1
99
41.831
37.519
1
Crop farmer
783
2
Animal farmer
163
3
Housewife
499
4
Trader/merchant/salesperson
40
5
Transport worker
66
6
Construction worker
18
7
Teacher/education professional
118
8
Health professional/TBA/trad. Healer
3
9
Secretary/clerical
27
10
Factory worker
19
11
Restaurant/bar/hotel
39
12
Skilled trades (carpenter, tailor, etc.)
61
13
Preacher/pastor
6
14
Village elder
2
15
Domestic worker
54
16
Civil Servant/Government
81
17
Other (specify)
171
41
Operating Kiosk/Duka
67
42
Trading (buying & selling) vegetables
80
43
Trading chickens, eggs, etc.
7
44
Trading clothes (mtumba)
23
45
Trading milk
25
46
Making local brew / beer
58
47
Boda-boda operator
5
81
Student
1604
88
No activity/unemployed
147
99
Don’t Know
38
Main job 5 years ago (Other)
The primary male respondent.
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
0
Household ID
Household ID
963
0
Respondent ID
Respondent ID
963
0
Agriculture module
963
0
1
Yes
963
2
No
0
Household ID
Household ID
963
0
Respondent ID
Respondent ID
963
0
Day of interview
Date of Interview. Day.
963
0
Month of interview
Date of Interview. Month.
963
0
Year of interview
Date of Interview. Year.
963
0
_merge representing aga1
963
0
0
46
1
917
Total Land Owned - Quantity
The household head, or the person most knowledgeable about the household's agricultural activities.
Total Land Owned. Quantity.
961
2
0
300
7.057
15.65
Total Land Owned- Unit
The household head, or the person most knowledgeable about the household's agricultural activities.
Total Land Owned. Land Unit Code.
826
137
1
acres
826
2
hectares
0
3
square-meters
0
4
square-feet
0
Sysmiss
137
Total Land Planted- Quantity
The household head, or the person most knowledgeable about the household's agricultural activities.
Total Land Planted with Crops. Quantity.
(include land that is owned by the households as well as land that the household rents)
960
3
0
514.1
3.071
17.393
Total Land Planted- Unit
The household head, or the person most knowledgeable about the household's agricultural activities.
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
acres
892
2
hectares
0
3
square-meters
0
4
square-feet
0
Sysmiss
71
Total Land Cultivated- Quantity
The household head, or the person most knowledgeable about the household's agricultural activities.
Total Land Cultivated. Quantity.
End section.]]>
959
4
0
199
6.831
12.696
Total Land Cultivated- Unit
The household head, or the person most knowledgeable about the household's agricultural activities.
Total Land Cultivated. Land Unit Code.
(include land used for grazing or housing livestock, and fallow land)
915
48
0
1
1
acres
913
2
hectares
0
3
square-meters
0
4
square-feet
0
8
1
Sysmiss
48
Have a formal title
The household head, or the person most knowledgeable about the household's agricultural activities.
Do you have a formal title to your land?
917
46
1
Yes
453
2
No
458
3
2
8
2
9
2
Sysmiss
46
Number of Plots
The household head, or the person most knowledgeable about the household's agricultural activities.
Do you divide your farm into plots? If so, how many?
(Enumerator: If no, enter "1")
919
44
_merge representing aga2
963
0
0
2
1
961
_merge representing agb
963
0
0
37
1
926
_merge representing agc2
963
0
0
87
1
876
Count of crop
918
45
0
6
3.414
1.454
_merge representing agc
963
0
0
45
1
918
_merge representing agd
963
0
0
50
1
913
_merge representing age2
963
0
0
814
1
149
Any worked on shamba without being paid
The household head, or the person most knowledgeable about the household's agricultural activities.
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
0
1
1
Yes
149
2
No
779
3
3
8
2
Sysmiss
29
Count of persons
149
814
1
5
2.128
1.181
_merge representing age
963
0
0
29
1
934
_merge representing agf2
963
0
0
110
1
853
Did household raise any livestock
The household head, or the person most knowledgeable about the household's agricultural activities.
In 2005, did your household raise any livestock?
If answer is 2 > Go to next section.
946
17
1
Yes
854
2
No
91
8
1
Sysmiss
17
Count of Livestock
854
109
0
5
2.811
1.073
_merge representing agf
963
0
0
17
1
946
_merge representing agg
963
0
0
32
1
931
_merge representing agh
963
0
0
45
1
918
963
0
1
1
3
962
Household ID
Household ID
2517
0
Respondent ID
Respondent ID
2517
0
Plot Number
The household head, or the person most knowledgeable about the household's agricultural activities.
Plot Number
2517
0
What crops in 2005-1
The household head, or the person most knowledgeable about the household's agricultural activities.
What use was this shamba/farm put to in 2005?
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
The household head, or the person most knowledgeable about the household's agricultural activities.
What use was this shamba/farm put to in 2005?
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
The household head, or the person most knowledgeable about the household's agricultural activities.
What use was this shamba/farm put to in 2005?
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
The household head, or the person most knowledgeable about the household's agricultural activities.
What use was this shamba/farm put to in 2005?
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
The household head, or the person most knowledgeable about the household's agricultural activities.
What use was this shamba/farm put to in 2005?
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
The household head, or the person most knowledgeable about the household's agricultural activities.
What use was this shamba/farm put to in 2005?
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
The household head, or the person most knowledgeable about the household's agricultural activities.
What use was this shamba/farm put to in 2005?
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
The household head, or the person most knowledgeable about the household's agricultural activities.
What use was this shamba/farm put to in 2005?
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)
The household head, or the person most knowledgeable about the household's agricultural activities.
What use was this shamba/farm put to in 2005? Other (specify).
150
0
What crops in 2006-1
The household head, or the person most knowledgeable about the household's agricultural activities.
What is this shamba/farm being used for in 2006?
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
The household head, or the person most knowledgeable about the household's agricultural activities.
What is this shamba/farm being used for in 2006?
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
The household head, or the person most knowledgeable about the household's agricultural activities.
What is this shamba/farm being used for in 2006?
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
The household head, or the person most knowledgeable about the household's agricultural activities.
What is this shamba/farm being used for in 2006?
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
The household head, or the person most knowledgeable about the household's agricultural activities.
What is this shamba/farm being used for in 2006?
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
The household head, or the person most knowledgeable about the household's agricultural activities.
What is this shamba/farm being used for in 2006?
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
The household head, or the person most knowledgeable about the household's agricultural activities.
What is this shamba/farm being used for in 2006?
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
The household head, or the person most knowledgeable about the household's agricultural activities.
What is this shamba/farm being used for in 2006?
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)
The household head, or the person most knowledgeable about the household's agricultural activities.
What is this shamba/farm being used for in 2006? Other (specify).
164
0
Household ID
2889
0
Respondent ID
2889
0
Year
2889
0
1
2004
2
2005
3
2006
Tillage Method Used
The household head, or the person most knowledgeable about the household's agricultural activities.
What was the main tillage method used ?
2628
261
1
Conventional hand hoeing (jembe)
510
2
Plowing with animals
380
3
Plowing with mechanical power
1736
4
Other (specify)
0
9
2
Sysmiss
261
The household head, or the person most knowledgeable about the household's agricultural activities.
What was the main tillage method used ? Other (specify).
0
0
The household head, or the person most knowledgeable about the household's agricultural activities.
How many complete weedings did you do?
2541
348
0
99
1.995
3.361
Substances to Improve Soil Fertility - 1
The household head, or the person most knowledgeable about the household's agricultural activities.
Did you apply any substances to improve soil fertility ?
(List all)
2607
282
1
None
84
2
Animal Manure
147
3
Inorganic (Chemical) fertilizer- basal
2321
4
Inorganic (Chemical) fertilizer- top dressing
51
5
Organic fertilizer/ Compost
3
9
Other (specify)
1
Sysmiss
282
Substances to Improve Soil Fertility - 2
The household head, or the person most knowledgeable about the household's agricultural activities.
Did you apply any substances to improve soil fertility ?
(List all)
854
2035
1
None
0
2
Animal Manure
32
3
Inorganic (Chemical) fertilizer- basal
90
4
Inorganic (Chemical) fertilizer- top dressing
730
5
Organic fertilizer/ Compost
2
9
Other (specify)
0
Sysmiss
2035
Substances to Improve Soil Fertility - 3
The household head, or the person most knowledgeable about the household's agricultural activities.
Did you apply any substances to improve soil fertility ?
(List all)
27
2862
1
None
0
2
Animal Manure
3
3
Inorganic (Chemical) fertilizer- basal
4
4
Inorganic (Chemical) fertilizer- top dressing
20
5
Organic fertilizer/ Compost
0
9
Other (specify)
0
Sysmiss
2862
The household head, or the person most knowledgeable about the household's agricultural activities.
Did you apply any substances to improve soil fertility ? Other (specify).
(List all)
0
0
The household head, or the person most knowledgeable about the household's agricultural activities.
Before plowing, did you burn the vegetation and/or crop residue on the shamba?
2657
232
1
Yes
1121
2
No
1496
3
39
9
1
Sysmiss
232
Pests/diseases present on shamba - 1
The household head, or the person most knowledgeable about the household's agricultural activities.
Which pests/diseases were present on your shamba/garden ?
(List all)
2358
531
1
Stock Bora
2033
2
Diamond back moth
173
3
Aphids
50
4
Red spider mites
43
5
Powdery mildew
3
6
Bacterial black rot
4
7
Birds, Rodents or Weevils
7
8
Other (Specify)
26
9
19
Sysmiss
531
Pests/diseases present on shamba - 2
The household head, or the person most knowledgeable about the household's agricultural activities.
Which pests/diseases were present on your shamba/garden ?
(List all)
20
2869
1
Stock Bora
0
2
Diamond back moth
1
3
Aphids
2
4
Red spider mites
11
5
Powdery mildew
0
6
Bacterial black rot
1
7
Birds, Rodents or Weevils
0
8
Other (Specify)
5
Sysmiss
2869
Pests/diseases present on shamba - 3
The household head, or the person most knowledgeable about the household's agricultural activities.
Which pests/diseases were present on your shamba/garden ?
(List all)
0
2889
1
Stock Bora
0
2
Diamond back moth
0
3
Aphids
0
4
Red spider mites
0
5
Powdery mildew
0
6
Bacterial black rot
0
7
Birds, Rodents or Weevils
0
8
Other (Specify)
0
Sysmiss
2889
Pests/diseases present on shamba - 4
The household head, or the person most knowledgeable about the household's agricultural activities.
Which pests/diseases were present on your shamba/garden ?
(List all)
0
2889
1
Stock Bora
0
2
Diamond back moth
0
3
Aphids
0
4
Red spider mites
0
5
Powdery mildew
0
6
Bacterial black rot
0
7
Birds, Rodents or Weevils
0
8
Other (Specify)
0
Sysmiss
2889
Pests/diseases present on shamba - 5
The household head, or the person most knowledgeable about the household's agricultural activities.
Which pests/diseases were present on your shamba/garden ?
(List all)
0
2889
1
Stock Bora
0
2
Diamond back moth
0
3
Aphids
0
4
Red spider mites
0
5
Powdery mildew
0
6
Bacterial black rot
0
7
Birds, Rodents or Weevils
0
8
Other (Specify)
0
Sysmiss
2889
Pests/diseases present on shamba (other)
The household head, or the person most knowledgeable about the household's agricultural activities.
Which pests/diseases were present on your shamba/garden ? Other (specify).
(List all)
16
0
What methods used to control pests - 1
The household head, or the person most knowledgeable about the household's agricultural activities.
What methods did you use to control these pests/diseases?
(List all)
2359
530
1
None
2213
2
Dawa (Not Otherwise Specified)
62
3
Pesticide
52
4
Herbicide
2
5
Fungicide
3
6
Any type of biological control
1
7
Traps
6
8
Other (Specify)
11
9
9
Sysmiss
530
What methods used to control pests - 2
The household head, or the person most knowledgeable about the household's agricultural activities.
What methods did you use to control these pests/diseases?
(List all)
5
2884
1
None
1
2
Dawa (Not Otherwise Specified)
0
3
Pesticide
0
4
Herbicide
4
5
Fungicide
0
6
Any type of biological control
0
7
Traps
0
8
Other (Specify)
0
Sysmiss
2884
What methods used to control pests - 3
The household head, or the person most knowledgeable about the household's agricultural activities.
What methods did you use to control these pests/diseases?
(List all)
0
2889
1
None
0
2
Dawa (Not Otherwise Specified)
0
3
Pesticide
0
4
Herbicide
0
5
Fungicide
0
6
Any type of biological control
0
7
Traps
0
8
Other (Specify)
0
Sysmiss
2889
The household head, or the person most knowledgeable about the household's agricultural activities.
What methods did you use to control these pests/diseases?
(List all)
18
0
Land improvement practices - 1
The household head, or the person most knowledgeable about the household's agricultural activities.
Did you employ any of the following land improvement practices?
(List all)
2542
347
1
Intercropping with legumes (maharagwe)
2276
2
Intercropping with other crop(s)
63
3
Fencing or other barriers
148
4
Crop Rotation
2
5
7
6
Drainage channels
10
7
Terraces
12
8
Planting of grass strips (nebia grass)
4
9
Other (specify)
20
Sysmiss
347
Land improvement practices - 2
The household head, or the person most knowledgeable about the household's agricultural activities.
Did you employ any of the following land improvement practices?
(List all)
968
1921
1
Intercropping with legumes (maharagwe)
15
2
Intercropping with other crop(s)
62
3
Fencing or other barriers
765
4
Crop Rotation
4
5
0
6
Drainage channels
7
7
Terraces
104
8
Planting of grass strips (nebia grass)
11
9
Other (specify)
0
Sysmiss
1921
Land improvement practices - 3
The household head, or the person most knowledgeable about the household's agricultural activities.
Did you employ any of the following land improvement practices?
(List all)
229
2660
1
Intercropping with legumes (maharagwe)
4
2
Intercropping with other crop(s)
6
3
Fencing or other barriers
30
4
Crop Rotation
8
5
4
6
Drainage channels
9
7
Terraces
156
8
Planting of grass strips (nebia grass)
12
9
Other (specify)
0
Sysmiss
2660
Land improvement practices - 4
The household head, or the person most knowledgeable about the household's agricultural activities.
Did you employ any of the following land improvement practices?
(List all)
28
2861
1
Intercropping with legumes (maharagwe)
3
2
Intercropping with other crop(s)
0
3
Fencing or other barriers
0
4
Crop Rotation
0
5
1
6
Drainage channels
4
7
Terraces
5
8
Planting of grass strips (nebia grass)
15
9
Other (specify)
0
Sysmiss
2861
Land improvement practices - 5
The household head, or the person most knowledgeable about the household's agricultural activities.
Did you employ any of the following land improvement practices?
(List all)
4
2885
1
Intercropping with legumes (maharagwe)
0
2
Intercropping with other crop(s)
0
3
Fencing or other barriers
0
4
Crop Rotation
0
5
0
6
Drainage channels
0
7
Terraces
2
8
Planting of grass strips (nebia grass)
2
9
Other (specify)
0
Sysmiss
2885
Land improvement practices (Other)
The household head, or the person most knowledgeable about the household's agricultural activities.
Did you employ any of the following land improvement practices?
(List all)
20
0
Sources of water for irrigation - 1
The household head, or the person most knowledgeable about the household's agricultural activities.
Do you have any extra sources of water for irrigation (i.e., non-rain) ?
2635
254
1
None
1817
2
Surface Pond
6
3
Nearby Stream
444
4
Harvested
138
5
Bore holes, wells
212
6
Other (specify)
18
Sysmiss
254
Sources of water for irrigation - 2
The household head, or the person most knowledgeable about the household's agricultural activities.
Do you have any extra sources of water for irrigation (i.e., non-rain) ?
0
2889
1
None
0
2
Surface Pond
0
3
Nearby Stream
0
4
Harvested
0
5
Bore holes, wells
0
6
Other (specify)
0
Sysmiss
2889
Sources of water for irrigation - 3
The household head, or the person most knowledgeable about the household's agricultural activities.
Do you have any extra sources of water for irrigation (i.e., non-rain) ?
0
2889
1
None
0
2
Surface Pond
0
3
Nearby Stream
0
4
Harvested
0
5
Bore holes, wells
0
6
Other (specify)
0
Sysmiss
2889
Sources of water for irrigation (other)
The household head, or the person most knowledgeable about the household's agricultural activities.
Do you have any extra sources of water for irrigation (i.e., non-rain) ? Other (specify).
18
0
The household head, or the person most knowledgeable about the household's agricultural activities.
How many acres of you land did you leave fallow?
If answer is 0 > Go to next section.
2702
187
0
99
18.533
33.605
The household head, or the person most knowledgeable about the household's agricultural activities.
If yes, how many months did you leave this land fallow?
2192
697
1
12
11.911
0.847
The household head, or the person most knowledgeable about the household's agricultural activities.
2189
700
1
Natural fallow
388
2
Legume cover crop
0
3
Other cover crop
6
4
Grazing
1794
5
1
Sysmiss
700
The household head, or the person most knowledgeable about the household's agricultural activities.
If yes, what was the reason for leaving this land fallow?
2193
696
1
Lack of funds
298
2
Lack of labor/time
23
3
To improve soil productivity
24
4
For pest/disease control
3
5
Other (specify)
1841
8
4
Sysmiss
696
The household head, or the person most knowledgeable about the household's agricultural activities.
If yes, what was the reason for leaving this land fallow? Other (specify).
1841
0
Household ID
Household ID
3134
0
Respondent ID
Respondent ID
3134
0
Line number
0
3134
Crop code
The household head, or the person most knowledgeable about the household's agricultural activities.
Crop Codes
3134
0
1
37
11.016
12.768
1
Maize
871
2
Wheat
10
3
Millet or sorghum
45
4
Rice
1
5
Beans, peas, cowpeas, other pulses
754
6
Cabbage
102
7
Sukuma wiki
430
8
Spinach
28
9
Yams or Sweet potatoes
27
10
Irish potatoes
98
11
Cassava
5
12
Groundnuts
2
13
Sunflower seeds
0
14
Tomatoes
26
15
Onions, leeks
27
16
Eggplant
0
17
Carrots
3
18
Capsicums/Green Peppers
2
19
Chillies
1
20
Coffee
1
21
Tea
64
22
Tobacco
0
23
Cotton
0
24
Lumber, wood
0
25
Oil palm/palm oil
0
26
Honey or Sugarcane
4
27
Avocado
11
28
Bananas
72
29
Mangoes
0
30
Oranges/Citrus fruits
1
31
Pineapple
6
32
Sugarcane
6
33
Other fruits (specify)
2
34
Other vegetables (specify)
111
35
Grass for feed
6
36
Fodder for feed
3
37
415
Crop (other)
The household head, or the person most knowledgeable about the household's agricultural activities.
Crop Codes. Other (specify).
103
0
Area planted with this crop in acres
The household head, or the person most knowledgeable about the household's agricultural activities.
Area under each crop in acres
3131
3
0.1
99
3.822
16.516
Main seed variety used
The household head, or the person most knowledgeable about the household's agricultural activities.
What main seed variety did you use ?
3128
6
1
99
17.557
31.536
1
Local Variety
760
2
513
10
3
514
4
4
614
649
5
628
39
6
629
29
7
9401
24
8
“improved” but do not know variety
291
9
Other (specify)
506
10
412
98
4
99
400
Sysmiss
6
Main seed variety used (other)
The household head, or the person most knowledgeable about the household's agricultural activities.
What main seed variety did you use ? Other (specify).
407
0
Source of seed
The household head, or the person most knowledgeable about the household's agricultural activities.
What was the source of most of the seed ?
3128
6
1
Private Retailer
2018
2
Seed Company
336
3
NGOs
2
4
Government
5
5
Friend/Relative
405
6
Own harvest
345
8
Other (specify)
16
9
1
Sysmiss
6
Source of seed (other)
The household head, or the person most knowledgeable about the household's agricultural activities.
What was the source of most of the seed ? Other (specify).
5
0
Harvest enough to provide for hh?
The household head, or the person most knowledgeable about the household's agricultural activities.
Was your harvest of [Crop] sufficient to provide for your household until the next harvest ?
3130
4
1
Yes
713
2
No
2350
3
N/A
60
8
6
9
1
Sysmiss
4
Quantity of crop hh produced in 2005 (Quantity)
The household head, or the person most knowledgeable about the household's agricultural activities.
Do not include crop outputs from the long and short rains seasons of 2004.
3129
5
0
9999
140.263
505.9
Quantity of crop hh produced in 2005 (Crop unit code)
The household head, or the person most knowledgeable about the household's agricultural activities.
Do not include crop outputs from the long and short rains seasons of 2004.
3109
25
1
99
5.03
2.795
1
Kilograms
56
2
Goro goros (2 Kgs.)
167
3
Debbes
492
4
Litres
0
5
Bunches
1015
6
Bags/Sacks
1227
7
Pieces
116
8
Tins
7
9
Dozens
0
10
Crates
27
98
1
99
1
Sysmiss
25
Quantity of crop hh sold in 2005 (Quantity)
The household head, or the person most knowledgeable about the household's agricultural activities.
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
0
9999
84.595
470.208
Quantity of crop hh sold in 2005 (Crop unit code)
The household head, or the person most knowledgeable about the household's agricultural activities.
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
52
2
Goro goros (2 Kgs.)
72
3
Debbes
101
4
Litres
0
5
Bunches
201
6
Bags/Sacks
742
7
Pieces
84
8
Tins
3
9
Dozens
0
10
Crates
25
98
1
Sysmiss
1853
Income hh receive from selling the quantity of crop (Amount)
The household head, or the person most knowledgeable about the household's agricultural activities.
How much income did your household receive from selling this quantity of [Crop]? TOTAL Amount (in KSh).
Do not include tea bonus.
3131
3
0
754000
7738.753
30772.245
Income hh receive from selling the quantity of crop (Unit price)
The household head, or the person most knowledgeable about the household's agricultural activities.
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)
The household head, or the person most knowledgeable about the household's agricultural activities.
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
54
2
Goro goros (2 Kgs.)
91
3
Debbes
86
4
Litres
0
5
Bunches
202
6
Bags/Sacks
734
7
Pieces
84
8
Tins
4
9
Dozens
0
10
Crates
26
Sysmiss
1853
Quantity of crop set aside for home consumption (Quantity)
The household head, or the person most knowledgeable about the household's agricultural activities.
3127
7
0
2000
56.007
119.235
Quantity of crop set aside for home consumption (Crop unit code)
The household head, or the person most knowledgeable about the household's agricultural activities.
3005
129
0
98
5.008
2.239
0
6
1
Kilograms
8
2
Goro goros (2 Kgs.)
190
3
Debbes
497
4
Litres
2
5
Bunches
992
6
Bags/Sacks
1153
7
Pieces
119
8
Tins
8
9
Dozens
0
10
Crates
29
98
1
Sysmiss
129
Have any crop in storage
The household head, or the person most knowledgeable about the household's agricultural activities.
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
632
2
No
2492
3
3
Sysmiss
7
If were to sell the stored quantity, what is amount would get
The household head, or the person most knowledgeable about the household's agricultural activities.
If you were to sell this stored quantity now, what is the amount you could get?
632
2502
0
290000
5755.456
15705.271
Did you process any portion of the crop?
The household head, or the person most knowledgeable about the household's agricultural activities.
3122
12
1
No Processing
266
2
Cleaning/ washing
1327
3
Shelling/ hulling
867
4
Drying
605
5
Milling, at home- pounding
6
6
Milling, at home- hand mill
0
7
Milling, commercial
33
8
18
Sysmiss
12
Did you process any portion of the crop? - 2
The household head, or the person most knowledgeable about the household's agricultural activities.
526
2608
1
No Processing
0
2
Cleaning/ washing
2
3
Shelling/ hulling
108
4
Drying
413
5
Milling, at home- pounding
0
6
Milling, at home- hand mill
0
7
Milling, commercial
3
Sysmiss
2608
Did you process any portion of the crop? - 3
The household head, or the person most knowledgeable about the household's agricultural activities.
81
3053
1
No Processing
0
2
Cleaning/ washing
0
3
Shelling/ hulling
2
4
Drying
59
5
Milling, at home- pounding
3
6
Milling, at home- hand mill
4
7
Milling, commercial
13
Sysmiss
3053
Household ID
13482
0
Respondent ID
13482
0
Farm inputs
The household head, or the person most knowledgeable about the household's agricultural activities.
Input Number
13482
0
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
The household head, or the person most knowledgeable about the household's agricultural activities.
12741
741
1
Yes
4862
2
No
7810
3
5
8
64
Sysmiss
741
Amount spent in 2005
The household head, or the person most knowledgeable about the household's agricultural activities.
How much did you spend on [INPUT] in 2005 (include long and short rains)?
4763
8719
0
186000
3605.17
7197.984
Main Transaction in 2005
The household head, or the person most knowledgeable about the household's agricultural activities.
What main transaction did you use to obtain this input in 2005?
4708
8774
1
Cash Purchase
4694
2
Loan
2
3
Barter
4
4
Grant/gift/free
4
5
Own harvest
2
9
2
Sysmiss
8774
Amount spent in 2006
The household head, or the person most knowledgeable about the household's agricultural activities.
How much did you spend (do you plan to spend) on [INPUT] in 2006 (include long and short rains)?
4615
8867
0
186000
3790.943
7329.704
Main Transaction in 2006
The household head, or the person most knowledgeable about the household's agricultural activities.
What main transaction did you use to obtain this input in 2006?
4497
8985
1
Cash Purchase
4488
2
Loan
3
3
Barter
4
4
Grant/gift/free
2
5
Own harvest
0
Sysmiss
8985
Household ID
Household ID
317
0
Respondent ID
Respondent ID
317
0
Line number
The household head, or the person most knowledgeable about the household's agricultural activities.
Person Number
2
315
IRID Code of person who helped
The household head, or the person most knowledgeable about the household's agricultural activities.
IRID Code or person who helped
317
0
Days person worked
The household head, or the person most knowledgeable about the household's agricultural activities.
In 2005, for how many days did this person work on your shambas/gardens?
317
0
1
30
3.385
3.128
Activity this person did on shamba
The household head, or the person most knowledgeable about the household's agricultural activities.
What activity did this person do on your shamba?
317
0
1
Planting
83
2
Weeding
161
3
Harvesting
53
4
Plowing
18
5
Shelling
0
6
Other (specify)
2
Activity this person did on shamba (Other)
The household head, or the person most knowledgeable about the household's agricultural activities.
What activity did this person do on your shamba? Other (specify).
12
0
Worked for this person in return
The household head, or the person most knowledgeable about the household's agricultural activities.
Did you work for this person in return for his/her work on your shambas/garden?
If answer is 2 > End.
317
0
1
Yes
173
2
No
144
Days worked for this person
The household head, or the person most knowledgeable about the household's agricultural activities.
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
2401
0
Respondent ID
Respondent ID
2401
0
Line Number
0
2401
Livestock Code
The household head, or the person most knowledgeable about the household's agricultural activities.
Livestock Codes.
2401
0
1
Cattle (including cows)
722
2
Calves
505
3
Goats
23
4
Sheep
459
5
Pigs
0
6
Chickens
689
7
Other animals (specify)
3
Livestock Code (other)
The household head, or the person most knowledgeable about the household's agricultural activities.
Livestock Codes. Other (specify).
1
0
Number Owned 2005
The household head, or the person most knowledgeable about the household's agricultural activities.
2401
0
0
99
5.927
7.366
Did livestock feed or graze
The household head, or the person most knowledgeable about the household's agricultural activities.
Were the [Livestock] fed or did they graze ?
If answer is 2 > Go to 5 (agf5 - variable name in dataset).
2395
6
1
Fed
671
2
Graze
1372
3
Both
337
4
Other (specify)
12
8
3
Sysmiss
6
Did livestock feed or graze (other)
The household head, or the person most knowledgeable about the household's agricultural activities.
Were the [Livestock] fed or did they graze ? Other (specify).
12
0
If fed, how did you get the food
The household head, or the person most knowledgeable about the household's agricultural activities.
1019
1382
1
Cultivated
751
2
Gathered
43
3
Purchased
211
4
Free/ gift
4
5
Other (specify)
0
8
10
Sysmiss
1382
If fed, how did you get the food (other)
The household head, or the person most knowledgeable about the household's agricultural activities.
0
0
If grazed, where did they graze
The household head, or the person most knowledgeable about the household's agricultural activities.
If [Livestock] grazed, where did they graze ?
1848
553
1
Own land
1574
2
Communally owned land
216
3
Public land
42
4
1
5
1
8
12
9
2
Sysmiss
553
If grazed, where did they graze (other)
The household head, or the person most knowledgeable about the household's agricultural activities.
If [Livestock] grazed, where did they graze ? Other (specify).
2
2399
Did you collect/store waste
The household head, or the person most knowledgeable about the household's agricultural activities.
If answer is 2 > Go to 8 (agf8 - variable name in dataset).
2396
5
1
Yes
1741
2
No
644
4
2
8
9
Sysmiss
5
Where did you store wastes
The household head, or the person most knowledgeable about the household's agricultural activities.
Where did you store the manure/waste that was collected from [Livestock] ?
1750
651
1
No storage
194
2
Open pit
119
3
Closed container
1
4
In the field
1074
5
Compost bin
153
6
Slurry pit
1
7
194
8
12
9
2
Sysmiss
651
Where did you store wastes (other)
The household head, or the person most knowledgeable about the household's agricultural activities.
Where did you store the manure/waste that was collected from [Livestock] ? Other (specify).
194
0
Do you de-worm
The household head, or the person most knowledgeable about the household's agricultural activities.
Do you de-worm the [Livestock]?
2396
5
1
Yes
1589
2
No
792
8
13
9
2
Sysmiss
5
Household ID
2889
0
Respondent ID
2889
0
Year
In [year], …
2889
0
1
2004
2
2005
3
2006
Visited by extension worker - 2004
The household head, or the person most knowledgeable about the household's agricultural activities.
…were you visited by or did you speak with an agricultural extension worker?
2781
108
1
Yes
293
2
No
2477
3
4
8
4
9
3
Sysmiss
108
Borrowed money or obtained loan - 2004
The household head, or the person most knowledgeable about the household's agricultural activities.
… 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
126
2
No
2643
3
2
8
5
9
3
Sysmiss
110
Source of loan - 2004
The household head, or the person most knowledgeable about the household's agricultural activities.
If yes, what was the source of the largest loan?
129
2760
1
Government
4
2
Commercial bank
1
3
Local private trader
1
4
Local money lender
0
5
Friend/relative
86
6
Microcredit organization
19
7
Other(specify)
15
8
3
Sysmiss
2760
How did you repay - 2004
The household head, or the person most knowledgeable about the household's agricultural activities.
If yes, how did you repay the credit for most of the largest loan?
126
2763
1
Paid cash
61
2
Deducted from crop sales
9
3
Paid in-kind
10
4
Not yet repaid
42
8
4
Sysmiss
2763
Household ID
Household ID
5778
0
Respondent ID
Respondent ID
5778
0
Practice
The household head, or the person most knowledgeable about the household's agricultural activities.
Practice Number
5778
0
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
The household head, or the person most knowledgeable about the household's agricultural activities.
0
5778
Change in practice
The household head, or the person most knowledgeable about the household's agricultural activities.
If answer is 2 > Go to next practice.
5503
275
1
Yes
537
2
No
4959
3
1
8
6
Sysmiss
275
What changes have you made
The household head, or the person most knowledgeable about the household's agricultural activities.
What changes have you made?
389
5389
1
Shifted towards low input crops
13
2
Shifted towards high input crops (e.g., ?)
3
3
Household now concentrating on subsistence crops
36
4
Household has started growing cash crops (e.g., tea)
10
5
Shifted from local to “improved” variety
120
6
Shifted from maize variety 614 to another
78
7
Other change in variety
60
8
Change in brand or supplier
3
9
Shift from relying on grazing to relying on feed
9
10
Shift from relying on feed to relying on grazing
1
11
Household no longer buys feed
0
12
Household no longer gathers grass for feed
0
13
Other (Specify)
6
14
Household engaged in labour exchange
12
15
Household has stopped labor exchange
0
16
Household hires more labor
24
17
Household hires less labor
13
18
Household relies more on wage labor
0
19
Household relies less on wage labor
1
20
Other
0
Sysmiss
5389
What changes have you made (other)
The household head, or the person most knowledgeable about the household's agricultural activities.
What changes have you made? Other (specify).
256
0
Reason(s) for change
The household head, or the person most knowledgeable about the household's agricultural activities.
What was (were) the reason(s) for the change?
476
5302
1
Reduced labor force
9
2
Increase in own labor (e.g., health improvement)
10
3
Increase in household labor (own children, adoption, fosterage)
3
4
Increase in hired labor
1
5
Increase in donated/exchanged labor from another household
4
6
Increase in productive assets
51
7
Loss of productive assets
7
8
Improved wealth status
20
9
Decline in wealth status
29
10
Received institutional support
2
11
Lost access to institutional support
0
12
Acquired more land
15
13
Lost access to some crop land
7
14
Lost access to some grazing land
1
15
Able to access credit
1
16
Lost access to credit
0
17
Advice from agricultural extension worker
43
18
272
98
1
Sysmiss
5302
Reason for change (other)
The household head, or the person most knowledgeable about the household's agricultural activities.
What was (were) the reason(s) for the change? Other (specify).
0
0
Household ID
Household ID
972
0
Respondent ID
Respondent ID
972
0
Unexpected events module completed
972
0
1
Yes
972
2
No
0
Household ID
Household ID
972
0
Respondent ID
Respondent ID
972
0
Day of interview
Date of Interview. Day.
972
0
Month of interview
Date of Interview. Month.
972
0
Year of interview
Date of Interview. Year.
972
0
R2: Day of interview
Date of Round 2 interview. Day.
971
1
R2: Month of interview
Date of Round 2 interview. Month.
971
1
R2: Year of interview
Date of Round 2 interview. Year.
971
1
Engaged in farming
Primary male respondent
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
0
1
Yes
897
2
No
75
Weather adversely affected the yield
Primary male respondent
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
334
2
No
562
9
1
Sysmiss
75
Count of weather events
334
638
1
3
1.09
0.297
_merge representing shocksa1
972
0
1
972
_merge representing shocksa2
972
0
0
638
1
334
Have a problem with crop due to fire etc.
Primary male respondent
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
80
2
No
815
8
1
9
1
Sysmiss
75
Count of events
Primary male respondent
80
892
1
2
1.063
0.244
_merge representing shocksa3
972
0
1
972
_merge representing shocksa4
972
0
0
892
1
80
Have problem with farm inputs
Primary male respondent
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
45
2
No
851
9
1
Sysmiss
75
Count of farm inputs
Primary male respondent
45
927
1
2
1.044
0.208
_merge representing shocksa5
972
0
1
972
_merge representing shocksa6
972
0
0
927
1
45
Have lost land due to dispute
Primary male respondent
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
15
2
No
879
8
2
9
1
Sysmiss
75
Count of lost land
Primary male respondent
15
957
1
1
1
0
_merge representing shocksa7
972
0
1
972
_merge representing shocksa8
972
0
0
957
1
15
Lost any stored crops to pests, etc.
Primary male respondent
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
43
2
No
852
8
1
9
1
Sysmiss
75
Count of lost stored crop
Primary male respondent
43
929
1
2
1.07
0.258
_merge representing shocksa9
972
0
1
972
_merge representing shocksa10
972
0
0
929
1
43
Owned any livestock
Primary male respondent
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
0
1
Yes
880
2
No
92
Lost any livestock
Primary male respondent
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
360
2
No
520
Sysmiss
92
Count of lost livestock
Primary male respondent
360
612
1
3
1.267
0.524
_merge representing shocksa21
972
0
1
972
_merge representing shocksa22
972
0
0
612
1
360
972
0
3
972
Household ID
Household ID
364
0
Respondent ID
Respondent ID
364
0
Line Number
Primary male respondent
0
364
Weather event ID code
Primary male respondent
When did these weather events happen and what is the estimated value of the damage to your crops?
Weather event ID Code
364
0
1
Drought/lack of water
2
Flood
3
Hail storm
4
Frost
5
Lightening
6
Rainstorm
7
Other (specify)
Weather event (other)
Primary male respondent
Weather event ID Code. Other (specify).
2
0
Month begun
Primary male respondent
Date when Event Began and Ended. Month Began.
364
0
Year begun
Primary male respondent
Date when Event Began and Ended. Year Began.
364
0
Month ended
Primary male respondent
Date when Event Began and Ended. Month Ended.
364
0
Year ended
Primary male respondent
Date when Event Began and Ended. Year Ended.
363
1
Value of crop damaged
Primary male respondent
Estimated Value of Crop Damage due to the Weather Event (KSh)
364
0
98
150000
9239.712
14691.261
Household ID
Household ID
85
0
Respondent ID
Respondent ID
85
0
Line number
Primary male respondent
When did these problems happen and what was the value of the damage to your crops?
Event ID Code
0
85
Event code
Primary male respondent
When did these problems happen and what was the value of the damage to your crops?
Event ID Code
85
0
1
Insects
2
Rodents
3
Animals eating crops
4
Theft
5
Fire
6
Other (specify)
Event code (other)
Primary male respondent
Event ID Code. Other (specify).
10
0
Date of event - Month
Primary male respondent
Date of Event. Month.
* probe for exact month.
85
0
Date of event - Year
Primary male respondent
Date of Event. Year.
* probe for exact month.
85
0
Value of crop damage
Primary male respondent
Estimated Value of Crop Damage due to the Event (KSh).
85
0
100
60000
4344.118
8146.346
Household ID
Household ID
47
0
Respondent ID
Respondent ID
47
0
Line number
Primary male respondent
When did this happen and what was the value of the damage to your crops?
Problem ID Code
0
47
Problem ID Code
Primary male respondent
When did this happen and what was the value of the damage to your crops?
Problem ID Code
47
0
1
Fertilizers
16
2
Herbicides
1
3
Other chemicals
0
4
Seeds
30
Date of event - Month
Primary male respondent
Date of Problem. Month.
* probe for exact month.
47
0
2
1
3
9
4
16
5
6
6
8
7
2
8
1
9
1
10
1
11
1
12
1
Date of event - Year
Primary male respondent
Date of Problem. Year.
* probe for exact month.
47
0
2005
41
2006
6
Value of damage
Primary male respondent
Estimated Value of Damage due to the Event (KSh).
47
0
250
84000
11496.17
17367.317
Household ID
Household ID
15
0
64
1
171
1
351
1
360
1
402
1
431
1
834
1
929
1
932
1
945
1
1131
1
1158
1
1501
1
1688
1
1782
1
Respondent ID
Respondent ID
15
0
1
13
2
1
3
1
Line Number
Primary male respondent
0
15
Sysmiss
15
Date of event - Month
Primary male respondent
When did this happen and what was the value of the loss?
Date of Event. Month.
15
0
1
11
2
1
3
2
4
1
Date of event - Year
Primary male respondent
When did this happen and what was the value of the loss?
Date of Event. Year.
15
0
2005
3
2006
12
Land Quantity
Primary male respondent
Land Quantity
15
0
1
30
9.867
7.17
Land Unit Code
Primary male respondent
Land Unit Code
15
0
1
Acres
15
2
Hectares
0
3
Sq. feet
0
4
Sq. meters
0
Value of land
Primary male respondent
Value of the land that was lost [Amount in KSh].
15
0
200
300000
41580
84068.146
Household ID
Household ID
46
0
Respondent ID
Respondent ID
46
0
Unit
Primary male respondent
0
46
Sysmiss
46
Reason for loss
Primary male respondent
Reason for loss
46
0
1
Pests
26
2
Rodents
14
3
Fire
0
4
Theft
5
5
Water damage
1
6
Other (specify)
0
Reason for loss (other)
Primary male respondent
Reason for loss. Other (specify).
1
0
Date of event - Month
Primary male respondent
Date of Event. Month.
* probe for exact month.
46
0
Date of event - Year
Primary male respondent
Date of Event. Year.
* probe for exact month.
46
0
Value of loss
Primary male respondent
Value of loss (KSh)
46
0
50
10500
1753.913
2240.05
Household ID
Household ID
456
0
Respondent ID
Respondent ID
456
0
Line Number
Primary male respondent
0
456
Date of livestock loss - Month
Primary male respondent
Date of Livestock loss. Month.
* probe for exact month.
456
0
Date of livestock loss - Year
Primary male respondent
Date of Livestock loss. Year.
* probe for exact month.
456
0
Value of loss
Primary male respondent
Value of loss (KSh)
456
0
3
80000
10683.428
12853.667
Household ID
Household ID
972
0
Respondent ID
Respondent ID
972
0
Unexpected events module completed
972
0
1
Yes
972
2
No
0
Household ID
Household ID
972
0
Respondent ID
Respondent ID
972
0
Day of interview
Date of Interview. Day.
972
0
Month of interview
Date of Interview. Month.
972
0
Year of interview
Date of Interview. Year.
972
0
R2: Day of interview
Date of Round 2 interview. Day.
971
1
R2: Month of interview
Date of Round 2 interview. Month.
971
1
R2: Year of interview
Date of Round 2 interview. Year.
971
1
Anything been stolen from house
Primary male respondent
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
0
1
Yes
110
2
No
862
Count of stolen things
Primary male respondent
110
862
0
3
1.118
0.423
_merge representing shocksb1
972
0
1
972
_merge representing shocksb2
972
0
0
863
1
109
Have your house been danaged by weather
Primary male respondent
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
0
1
Yes
7
2
No
965
Count of item damaged
Primary male respondent
7
965
1
1
1
0
_merge representing shocksb3
972
0
1
972
_merge representing shocksb4
972
0
0
965
1
7
Source of drinking water unusable
Primary male respondent
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
0
1
Yes
155
2
No
817
Count of source of drinking water
Primary male respondent
155
817
1
2
1.032
0.177
_merge representing shocksb5
972
0
1
972
_merge representing shocksb6
972
0
0
817
1
155
972
0
3
972
Household ID
Household ID
123
0
Respondent ID
Respondent ID
123
0
Unit
Primary male respondent
0
123
Sysmiss
123
Month of theft
Primary male respondent
Date of theft. Month.
* probe for exact month
123
0
Year of theft
Primary male respondent
Date of theft. Year.
* probe for exact month
123
0
Value of stolen item
Primary male respondent
Value of stolen items
123
0
50
58000
2549.187
8093.356
Household ID
Household ID
7
0
Respondent ID
Respondent ID
7
0
Unit
Primary male respondent
0
7
Sysmiss
7
Date of weather event - Month
Primary male respondent
Date of Weather Event. Month.
* probe for exact month.
7
0
Date of weather event - Year
Primary male respondent
Date of Weather Event. Year.
* probe for exact month.
7
0
Value of damage
Primary male respondent
Value of damaged items (KSh)
7
0
98
4000
1606.857
1351.43
Household ID
Household ID
160
0
Respondent ID
Respondent ID
160
0
Unit
Primary male respondent
0
160
Sysmiss
160
Start date of water problem - Month
Primary male respondent
Start date of water problems. Month.
* probe for exact month.
160
0
Start date of water problem - Year
Primary male respondent
Start date of water problems. Year.
* probe for exact month.
160
0
Duration of water problem
Primary male respondent
Duration (in Days) of water problem.
160
0
1
606
43.156
55.222
Reason water source was unusable
Primary male respondent
Reason water source was unusable.
160
0
1
Contaminated by animal
7
2
Contaminated by soil
42
3
Flooded
0
4
Dried up/drought
104
5
Other (specify)
6
8
1
Reason water source was unusable (Other)
Primary male respondent
Reason water source was unusable. Other (specify).
6
0
Household ID
Household ID
972
0
Respondent ID
Respondent ID
972
0
Unexpected events module completed
972
0
1
Yes
972
2
No
0
Household ID
Household ID
972
0
Respondent ID
Respondent ID
972
0
Day of interview
Date of Interview. Day.
972
0
Month of interview
Date of Interview. Month.
972
0
Year of interview
Date of Interview. Year.
972
0
R2: Day of interview
Date of Round 2 interview. Day.
971
1
R2: Month of interview
Date of Round 2 interview. Month.
971
1
R2: Year of interview
Date of Round 2 interview. Year.
971
1
Had job which paid a wage
Primary male respondent
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
0
1
Yes
578
2
No
394
Had a problem of non-payment for work
Primary male respondent
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
42
2
No
534
8
2
Sysmiss
394
Count of non payment
42
930
1
3
1.167
0.437
_merge representing shocksc
972
0
1
972
_merge representing shocksc1
972
0
0
930
1
42
Lost any jobs
Primary male respondent
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
30
2
No
543
8
3
Sysmiss
396
Count of job loss
Primary male respondent
30
942
1
1
1
0
_merge representing shocksc2
972
0
1
972
_merge representing shocksc3
972
0
0
942
1
30
Managed/owned own business
Primary male respondent
Since [Round 2], have you (or any household members) managed/owned a business?
If answer is 2 > End.
972
0
1
Yes
436
2
No
536
Have had unexpected losses in business
Primary male respondent
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
150
2
No
282
9
4
Sysmiss
536
Count of losses in business
150
822
1
3
1.1
0.362
_merge representing shocksc4
972
0
1
972
_merge representing shocksc5
972
0
0
822
1
150
972
0
3
972
Household ID
Household ID
49
0
Respondent ID
Respondent ID
49
0
Count
0
49
Sysmiss
49
Month supposed to be paid
Primary male respondent
Date person was supposed to be paid. Month.
49
0
Year supposed to be paid
Primary male respondent
Date person was supposed to be paid. Year.
49
0
Amount were supposed to be
Primary male respondent
Amount person was supposed to be paid (KSh).
49
0
99
30000
3532.102
4671.247
Month actually paid
Primary male respondent
Date actually paid. Month
48
1
98
Not paid
Year actually paid
Primary male respondent
Date actually paid. Year.
47
2
98
Not paid
Household ID
Household ID
30
0
Respondent ID
Respondent ID
30
0
Count
Primary male respondent
0
30
Month lost a job
Primary male respondent
Date Job was Lost. Month.
30
0
Year lost a job
Primary male respondent
Date Job was Lost. Year.
30
0
Monthly salary of the job
Primary male respondent
Monthly salary of the job (KSh).
30
0
98
15000
4809.933
4029.058
Household ID
Household ID
165
0
Respondent ID
Respondent ID
165
0
Count
Primary male respondent
0
165
Sysmiss
165
Month of unexpected loss
Primary male respondent
Date of Unexpected Loss. Month.
* probe for exact month.
165
0
Year of unexpected loss
Primary male respondent
Date of Unexpected Loss. Year.
165
0
Amount of loss
Primary male respondent
Amount of Loss (KSh).
164
1
50
60000
3533.671
7732.838
Why have the loss
Primary male respondent
Why did you have the loss?
165
0
1
Default/non-payment
72
2
Theft
9
3
Fire
0
4
Unexpected price fall
22
5
Spoilage
40
6
Other (specify)
21
8
1
Why have the loss (Other)
Primary male respondent
Why did you have the loss? Other (specify).
21
0
Transfers & Credits
1383
0
1
Yes
1383
2
No
0
Household ID
Household ID
1383
0
Respondent ID
Respondent ID
1383
0
Day of interview
Date of Interview. Day.
1383
0
Month of interview
Date of Interview. Month.
1383
0
Year of interview
Date of Interview. Year.
1383
0
R2: Day of interview
Date of Round 2 interview. Day.
1380
3
R2: Month of interview
Date of Round 2 interview. Month.
1380
3
R2: Year of interview
Date of Round 2 interview. Year.
1380
3
Received money or goods
Both the primary male and female respondents.
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?
Go to 9 (tr09 - variable name in dataset).]]>
1383
0
1
Yes
960
2
No
423
Number of people received money from
960
423
0
7
2.28
1.437
Have received any transfers from any organization
Both the primary male and female respondents.
Since [round 2], have you received any transfer from any organization or the government?
Go to 14 (tr14 - variable name in dataset).]]>
1383
0
1
Yes
286
2
No
1097
Count of organization
286
1097
1
3
1.224
0.45
Responsible for repaying any other loans
Both the primary male and female respondents.
Are you responsible for repaying any other loans including personal, family, or business loans (that we have not discussed above)?
Go to section B (trb01 - variable name in dataset).]]>
1383
0
1
Yes
237
2
No
1145
8
1
Total amount you owe for repayment
Both the primary male and female respondents.
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
Both the primary male and female respondents.
Was any part of this debt incurred to pay for medical care?
If answer is 2 > Go to section B (trb01 - variable name in dataset).
238
1145
1
Yes
48
2
No
189
8
1
Sysmiss
1145
How much was incurred for medical care
Both the primary male and female respondents.
How much debt was incurred for medical care?
48
1335
98
35000
3097.458
5636.375
When debt was incurred - Month
Both the primary male and female respondents.
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
3
4
4
5
5
4
6
6
7
4
8
10
9
2
10
1
11
3
12
3
98
1
99
2
Sysmiss
1335
When debt was incurred - Year
Both the primary male and female respondents.
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
1
2001
1
2003
3
2004
3
2005
14
2006
25
9998
1
Sysmiss
1335
Provided any money or goods
Both the primary male and female respondents.
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?
Go to 9 (trb09 - variable name in dataset).]]>
1383
0
1
Yes
802
2
No
581
Count of different people did you send money, gifts
802
581
1
7
1.63
1.021
Any group anyone owe you money
Both the primary male and female respondents.
Does anyone or any group owe you money or goods that you expect to be repaid (that we have not discussed above)?
Go to section C (trc01 - variable name in dataset).]]>
1382
1
1
Yes
190
2
No
1191
8
1
Sysmiss
1
Total amount owed to you
Both the primary male and female respondents.
What is the total amount owed to you from these other individuals or groups? Amount in KSh.
190
1193
30
200000
12207.842
33230.258
Was any part of this loan made to pay for medical care
Both the primary male and female respondents.
Was any part of this loan made to pay for medical care?
If answer is 2 > Go to section C (trc01 - variable name in dataset).
190
1193
1
Yes
6
2
No
184
Sysmiss
1193
How much lent to pay for medical care
Both the primary male and female respondents.
How much was lent to pay for medical care? Amount in KSh.
6
1377
0
4000
1526.667
1950.863
When the loan was made - Month
Both the primary male and female respondents.
When was this loan made? Month.
Record month and year when most of the loan was made.
6
1377
1
1
3
1
6
2
8
1
10
1
Sysmiss
1377
When the loan was made - Year
Both the primary male and female respondents.
When was this loan made? Year.
Record month and year when most of the loan was made.
6
1377
2002
1
2004
1
2005
1
2006
3
Sysmiss
1377
Participate in any informal savings organization
Both the primary male and female respondents.
Do you participate in any informal savings organizations with friends or neighbors, for example merry-go-rounds?
If answer is 2 > End section.
1383
0
1
Yes
260
2
No
1123
How much contribute to the fund (Amount)
Both the primary male and female respondents.
How much do you contribute to this fund and how often? Amount.
If more than one group, ask about the most important.
260
1123
30
6000
443.712
551.332
How much contribute to the fund (Frequency)
Both the primary male and female respondents.
How much do you contribute to this fund and how often? Frequency code.
If more than one group, ask about the most important.
260
1123
1
3
2.004
0.948
1
once a week
116
2
every two weeks
27
3
once a month
117
4
every three months
0
5
every six months
0
6
once a year
0
7
less than once a year
0
How much contributed since round 2
Both the primary male and female respondents.
How much did you contribute to this group since [round 2]?
[List the total amount]
257
1126
0
170000
7356.654
14921.05
When did you contribute most recent amount- Amount
Both the primary male and female respondents.
[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
Both the primary male and female respondents.
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
1
2
8
3
33
4
39
5
44
6
43
7
29
8
41
9
20
10
1
Sysmiss
1124
When did you contribute most recent amount- Year
Both the primary male and female respondents.
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
2
2005
4
2006
253
Sysmiss
1124
Members draw on regular basis
Both the primary male and female respondents.
Do members draw from this fund on a regular basis or only when there is an urgent need?
If answer is 2 > Go to 7 (trc07 - variable name in dataset).
260
1123
1
Regularly
256
2
Urgent need
4
3
Both
0
Sysmiss
1123
How often members receive money
Both the primary male and female respondents.
How often does each member receive money from this fund?
258
1125
1
once a week
3
2
every two weeks
4
3
once a month
58
4
every three months
83
5
every six months
57
6
once a year
45
7
less than once a year
5
8
1
9
2
Sysmiss
1125
How much received since round 2
Both the primary male and female respondents.
How much did you receive from this group since [round 2]?
[List the total Amount]
259
1124
0
120000
6066.707
10492.584
Both the primary male and female respondents.
When did you receive this amount? Amount 1.
[list the 2 largest amounts, and the month/year when you received]
231
1152
0
120000
3248.355
8558.641
Both the primary male and female respondents.
When did you receive this amount? Month 1.
[list the 2 largest amounts, and the month/year when you received]
204
1179
1
8
2
16
3
28
4
36
5
29
6
20
7
25
8
12
9
7
10
4
11
5
12
14
99
Don't Know
0
Sysmiss
1179
Both the primary male and female respondents.
When did you receive this amount? Year 1.
[list the 2 largest amounts, and the month/year when you received]
204
1179
98
Missing
0
99
Don't Know
0
2005
43
2006
161
Sysmiss
1179
Both the primary male and female respondents.
When did you receive this amount? Amount 2.
[list the 2 largest amounts, and the month/year when you received]
190
1193
0
14400
1622.474
2437.212
Both the primary male and female respondents.
When did you receive this amount? Month 2.
[list the 2 largest amounts, and the month/year when you received]
121
1262
1
7
2
19
3
10
4
11
5
17
6
11
7
5
8
6
9
3
10
8
11
13
12
11
99
Don't Know
0
Sysmiss
1262
Both the primary male and female respondents.
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
0
2005
41
2006
80
Sysmiss
1262
When member has family problem will organ help by changing o
Both the primary male and female respondents.
When a member of the organization has a family problem, will the organization help by changing the order of payment?
259
1124
1
Yes
230
2
No
28
9
1
Sysmiss
1124
Both the primary male and female respondents.
When a member of the organization has a family problem, will the organization help by changing the amount of payment to the member in need?
258
1125
1
Yes
128
2
No
129
9
1
Sysmiss
1125
Will organization help by collecting additional funds from o
Both the primary male and female respondents.
When a member of the organization has a family problem, will the organization help by collecting additional funds from other members?
257
1126
1
Yes
162
2
No
95
Sysmiss
1126
How many other informal savings organization participate in
Both the primary male and female respondents.
How many other informal savings organizations do you participate in?
If answer is 0 > End section.
260
1123
0
2
0.185
0.494
How much contributed to all since round 2
Both the primary male and female respondents.
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
Both the primary male and female respondents.
How much did you receive from all these other organizations since [round 2]? Amount in KSh.
34
1349
0
44800
3687.882
7985.559
Given any money to spouse since round 2
Both the primary male and female respondents.
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
0
1
Yes
665
2
No
448
8
270
Regular transfers given count
665
718
0
1
1
648
2
16
Sysmiss
718
Given more money to .. since round 2
Both the primary male and female respondents.
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
548
2
No
124
Sysmiss
711
Count of spouse
548
835
1
6
2.135
1.123
Received any money from spouse since round 2
Both the primary male and female respondents.
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
0
1
Yes
610
2
No
509
8
264
Given count
873
510
0
2
0.707
0.478
Recieved more money to .. since round 2
Both the primary male and female respondents.
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
468
2
No
148
8
263
Sysmiss
504
Count of spouse
731
652
0
6
1.286
1.319
Household ID
Household ID
2187
0
Respondent ID
Respondent ID
2187
0
Line number
Both the primary male and female respondents.
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.
0
2187
Sysmiss
2187
Individual roster ID
Both the primary male and female respondents.
Individual Roster ID
Copy IRID of from IRoster or add to IRoster if he/she is not yet listed.
2187
0
01
2
02
19
03
44
04
51
05
37
06
53
07
52
08
74
09
65
10
64
11
44
12
22
13
23
14
20
15
7
16
4
17
9
18
1
19
1
R01
181
R02
149
R03
129
R04
101
R05
100
R06
140
R07
121
R08
161
R09
152
R10
114
R11
76
R12
68
R13
38
R14
24
R15
19
R16
6
R17
5
R18
2
R19
3
R20
5
R31
1
How much received from person
Both the primary male and female respondents.
How much did you receive from this person (include money and the value of gifts in kind)?
2187
0
17
600000
2181.319
14405.718
Month received the amount
Both the primary male and female respondents.
When did you receive this amount? Month.
Year should be 2005 or 2006.
2187
0
Year received the amount
Both the primary male and female respondents.
When did you receive this amount? Year.
Year should be 2004.
2187
0
Main reason received money
Both the primary male and female respondents.
What was the main reason for receiving this money or goods?
2187
0
1
Wedding expenses
14
2
Loan repayment
36
3
Transportation
78
4
Subsistence needs
1384
5
Purchase of durable goods
56
6
Investment
126
7
Funeral
64
8
Gift
243
9
No specific reason
2
10
Other (specify)
184
Main reason received money (Other)
Both the primary male and female respondents.
What was the main reason for receiving this money or goods? Other (specify).
180
0
2 BLANKETS
1
AGRICULTURE
1
ANTIBIOTICS
1
BUY CEMENT
1
BUY CLOTHES 4NEWBORN
1
BUY INPUTS&RENT LAND
1
BUY MAIZE SEEDS
1
BUY WINDOW PANES
1
CAN
1
CHRISTMAS EXPENSES
4
CHURCH CONTRIBUTION
1
CLOTHING
3
CONSTRUCTION
1
DAUGHTER'S PARTY
2
DEWORMING
1
DURING PLANTING
1
DURING PLANTING TIME
1
FARMING
26
FENCING WIRE
1
FERTILIZER
5
FERTILIZERS
1
FOR BUYING CLOTHES
1
FOR PLANTING
2
FOR PLANTING SEASON
4
FOR PLOUGHING
1
FOR TEETH REMOVAL
1
GRAZING LAND IN U/G
1
HAIRDRESSING
2
HARVESTING MAIZE
2
HOUSEHOLD ITEMS
1
LAND LEASE
1
LAND LEASE FEE
8
LAND LEASE FEE(2007)
1
LEASE FEE
2
LEASING LAW
2
LIVESTOCK ANTIBIOS
1
LIVESTOCK MEDICATION
1
MEDICAL CARE
2
MEDICAL EXPENSES
1
MEDICATION
2
MONEY FOR FENCING
1
PAY RENT
3
PAY SCHOOL FEES
1
PLANTING
25
PLANTING EXPENSES
1
PLANTING SEASON
6
PLANTING SEASONS
1
PLANTING SEEDS
2
PLOUGHING EXPENSES
1
PLOUGHING LAND
2
POCKET MONEY
1
PRE-WEDDING
3
PROCESS THE LOAN
1
PURCHASE FARM INPUTS
1
PURCHASE LIVESTOCK
1
PURCHASE THINGS
1
RENT OUT LAND
1
RENTED
1
RENTED 2 ACRES
2
RENTED LAND
1
RENTED OUT LAND
2
RENTING OUT LAND
1
SCHOOL EXPENSES
3
SCHOOL FEES
2
SEED AND FERTILIZER
1
SEEDS
3
SHELL MAIZE
1
TO BUY CLOTHES
1
TO BUY FARM INPUTS
2
TO BUY FERTILIZER
3
TO BUY MAIZE SEEDS
1
TO BUY SEEDS
1
TO PLOUGH THE FARM
1
TO REPAIR CAR
1
TO REPAIR HOUSE
1
TREAT CATTLE
1
TREE SEEDLINGS
1
UPKEEP OF ID 10
2
VEHICLE REPAIR
1
X-MASS GIFT
1
X-MASS ITEMS
1
XMAS EXPENSES
1
Have to repay any part of the amount
Both the primary male and female respondents.
Do you have to repay any part of this amount?
If answer is 2 > Go to next transfer.
2187
0
1
Yes
402
2
No
1784
8
1
How much has been repaid
Both the primary male and female respondents.
How much has been already repaid? Amount (KSh).
402
1785
0
65000
2444.254
6118.663
How much expect to repay in future
Both the primary male and female respondents.
How much do you expect to repay in the future? Amount (KSh).
402
1785
0
100000
1455.03
6124.092
Household ID
Household ID
350
0
Respondent ID
Respondent ID
350
0
Count
Both the primary male and female respondents.
0
350
Name of organization
Both the primary male and female respondents.
What is the name of the organization?
* Exclude Merry-go-rounds
350
0
1
Government
58
2
Clan
23
3
Other (specify)
81
4
Microfinance group (K-Rep, etc)
25
5
Church
33
6
HHI/ AMPATH/Health Clinic Farm
114
7
15
8
1
Name of organisation (other)
Both the primary male and female respondents.
What is the name of the organization? Other (specify).
84
0
A.CMTY N.ZEALND
1
A.F.C
3
AFC
1
AFC LOAN
1
AFYA SACCO
2
AGRIC COPRATION
1
AMACO INSURANCE
1
APS
1
BANK LOAN
10
BARATON UNIVERS
1
CDF
1
CDF BURSARY
1
CHEBUT COMPANY
1
CHEBUT FACTORY
1
CO-OPERATIVE
1
COMMERCIAL BANK
1
DIGUNA
1
FAMILY FINANCE
1
FPI
1
FRIENDS
3
FUNDRAISING
2
FUNERAL ARRANGE
1
FUNERAL C'MTEE
1
FUNERAL COMMITT
2
HARAMBEE
5
HARAMBEE COMTEE
1
HARAMBEE SACCO
2
HELD HARAMBEE
1
K REP
1
KCB
3
KENYA WOMEN GRP
1
KTDA
1
LOCAL AUTHORITY
1
MAGEREZA SACCO
1
MOI UNI. SACCO
1
MWALIMU CO-OP
1
NANDI T SACCO
1
NANDI TEA SACCO
1
NATIONAL BANK
1
NGO
1
NSSF
1
SACCO
1
SALANIC PRINTER
1
SCHOOL BURSARY
1
SCHOOL EMPLOYER
1
SIRET TEA CMPNY
2
STIMA SACCO
1
TEA COMPANY
2
TEA ESTATE NAND
1
TEA FARMERS COP
1
TEACHER SACCO
1
TEACHERS' SACCO
1
TELPOSTA SACCO
1
THROUGH CDF
1
TSC
1
U.E.A BARATON
1
WIDOWS&SINGLES
1
WOMEN GROUP
1
YANA GROUP
1
How frequently received transfers
Both the primary male and female respondents.
How frequently did you receive these transfers since [round 2]?
350
0
1
once a week
56
2
every two weeks
8
3
once a month
58
4
every three months
6
5
every six months
4
6
once a year
123
7
less than once a year
95
8
more than once a week
0
In what form received
Both the primary male and female respondents.
335
15
1
200
2
96
3
31
8
8
Sysmiss
15
Amount received each time
Both the primary male and female respondents.
What amount did you receive each time, on average?
350
0
50
500000
23592.58
58102.818
Date of most recent transfer- month
Both the primary male and female respondents.
Date of Most Recent Transfer. Month.
350
0
Date of most recent transfer- year
Both the primary male and female respondents.
Date of Most Recent Transfer. Year.
350
0
Household ID
Household ID
1306
0
Respondent ID
Respondent ID
1306
0
Line number
Both the primary male and female respondents.
NOTE: if the same person received several times, list EACH transfer to that person separately.
0
1306
Individual roster ID
Both the primary male and female respondents.
Individual Roster ID
* copy IRID of [NAME] from IRoster or add [NAME] to IRoster if he/she is not yet listed.
1306
0
How much sent to person
Both the primary male and female respondents.
How much did you send to this person (include money and the value of gifts in kind)?
1306
0
20
158000
2238.965
8980.004
When send money - Month
Both the primary male and female respondents.
When did you send this amount? Month.
Year should be 2004-06
1306
0
When ssnd money - Year
Both the primary male and female respondents.
When did you send this amount? Year.
Year should be 2004-06
1306
0
Main reason send this money/goods
Both the primary male and female respondents.
What was the main reason for sending this money or goods?
1306
0
1
99
5.1
5.273
1
Wedding expenses
174
2
Loan repayment
26
3
Transportation
29
4
Subsistence needs
674
5
Purchase of durable goods
34
6
Investment
68
7
Funeral
17
8
Gift
128
9
No specific reason
12
10
Other (specify)
50
11
School Expenses
64
12
Medical Care
27
98
2
99
1
Main reason send this money/goods (Other)
Both the primary male and female respondents.
49
0
Expect that any part of the money will be repaid
Both the primary male and female respondents.
Do you expect that any part of this amount will be repaid to you?
If answer is 2 > Go to next transfer.
1306
0
1
Yes
277
2
No
1024
8
5
How much has alread been repaid
Both the primary male and female respondents.
How much has been already repaid?
277
1029
0
40000
1315.884
3645.369
How much expect to be repaid in the future
Both the primary male and female respondents.
How much do you expect to be repaid in the future?
277
1029
0
158000
3656.209
12542.588
Household ID
Household ID
680
0
Respondent ID
Respondent ID
680
0
ID code of spouse
Both the primary male and female respondents.
0
680
Sysmiss
680
ID code of spouse
Both the primary male and female respondents.
ID code of spouse
680
0
01
232
02
427
03
2
04
2
06
1
07
2
08
1
12
2
R1
5
R2
1
R5
2
R7
1
R8
1
R9
1
Give money or goods regularly
Both the primary male and female respondents.
Do you give [ID] money or goods regularly?
If answer is 2 > Go to 7 (trd07 - variable name in dataset).
680
0
1
Yes
414
2
No
266
How much give - Amount
Both the primary male and female respondents.
How much do you give [ID] regularly? Amount.
414
266
20
10000
1091.606
1301.409
How much give - Frequency
Both the primary male and female respondents.
How much do you give [ID] regularly? Frequency code.
414
266
1
once a week
160
2
every two weeks
14
3
once a month
237
4
every three months
1
5
every six months
1
6
once a year
0
7
less than once a year
0
8
1
Sysmiss
266
First reason for giving money
Both the primary male and female respondents.
What were the main reasons for giving this money to [ID]?
List up to 3 reasons.
414
266
1
medical care
0
2
funeral expenses
0
3
school expenses
0
4
wedding expenses
1
5
transportation
12
6
household maintenance
109
7
subsistence needs
268
8
purchase of a durable good
0
9
investment
8
10
other (specify)
16
Sysmiss
266
Second reason for giving money
Both the primary male and female respondents.
What were the main reasons for giving this money to [ID]?
List up to 3 reasons.
132
548
1
medical care
0
2
funeral expenses
0
3
school expenses
2
4
wedding expenses
0
5
transportation
2
6
household maintenance
24
7
subsistence needs
103
8
purchase of a durable good
1
9
investment
0
10
other (specify)
0
Sysmiss
548
Third reason for giving money
Both the primary male and female respondents.
What were the main reasons for giving this money to [ID]?
List up to 3 reasons.
2
678
1
medical care
0
2
funeral expenses
0
3
school expenses
0
4
wedding expenses
0
5
transportation
1
6
household maintenance
0
7
subsistence needs
0
8
purchase of a durable good
0
9
investment
1
10
other (specify)
0
Sysmiss
678
Reason for giving money (Other)
Both the primary male and female respondents.
What were the main reasons for giving this money to [ID]? Other (specify).
16
0
BUY CIGARS
1
BUY TOBACCO
1
CATTLE DIP
1
DIP CATTLE
1
LIVESTOCK
1
MERRY ROUND
1
OFFERING
1
PERSONAL
1
PERSONAL USE
3
PHONE CREDIT
1
POCKET MONEY
2
TAKING BREW
1
TOBACCO
1
Date of most recent transfer- Month
Both the primary male and female respondents.
Date of Most Recent Transfer. Month.
410
270
Date of most recent transfer- Year
Both the primary male and female respondents.
Date of Most Recent Transfer. Year.
410
270
Household ID
Household ID
1170
0
Respondent ID
Respondent ID
1170
0
ID code of spouse
Both the primary male and female respondents.
0
1170
ID code of spouse
Both the primary male and female respondents.
ID code of spouse
1170
0
How much did you give
Both the primary male and female respondents.
How much did you give [ID]?
1170
0
2
100000
1600.087
3981.28
When did give amount - Month
Both the primary male and female respondents.
When did you give this amount to [ID]? Month.
1170
0
When did give amount - Year
Both the primary male and female respondents.
When did you give this amount to [ID]? Year.
1170
0
Have to pay back any of this amount
Both the primary male and female respondents.
Does any of this amount have to be paid back?
If answer is 2 > Go to 13 (trd13a - variable name in dataset).
1170
0
1
Yes
19
2
No
1151
How much more expect to pay back
Both the primary male and female respondents.
How much more do you expect [ID] to pay back?
19
1151
0
10000
1186.842
2266.78
First reason why given money
Both the primary male and female respondents.
What were the main reasons for giving this money to [ID]?
[List up to 3 reasons]
1169
1
1
medical care
49
2
funeral expenses
4
3
school expenses
22
4
wedding expenses
28
5
transportation
195
6
household maintenance
115
7
subsistence needs
531
8
purchase of a durable good
65
9
investment
66
10
other (specify)
94
Sysmiss
1
Second reason why given money
Both the primary male and female respondents.
What were the main reasons for giving this money to [ID]?
[List up to 3 reasons]
57
1113
1
medical care
0
2
funeral expenses
0
3
school expenses
2
4
wedding expenses
0
5
transportation
6
6
household maintenance
9
7
subsistence needs
20
8
purchase of a durable good
7
9
investment
1
10
other (specify)
12
Sysmiss
1113
Third reason why given money
Both the primary male and female respondents.
What were the main reasons for giving this money to [ID]?
[List up to 3 reasons]
5
1165
1
medical care
0
2
funeral expenses
0
3
school expenses
1
4
wedding expenses
0
5
transportation
1
6
household maintenance
0
7
subsistence needs
0
8
purchase of a durable good
1
9
investment
0
10
other (specify)
2
Sysmiss
1165
Main reason why given money (Other)
Both the primary male and female respondents.
What were the main reasons for giving this money to [ID]? Other (specify).
112
0
Household ID
Household ID
617
0
Respondent ID
Respondent ID
617
0
ID code of spouse
Both the primary male and female respondents.
0
617
ID code of spouse
Both the primary male and female respondents.
ID code of spouse
617
0
Recieve money or goods regularly
Both the primary male and female respondents.
Do you receive money or goods from [ID] regularly?
If answer is 2 > Go to 20 (trd20 - variable name in dataset).
617
0
1
Yes
335
2
No
282
How much receive - Amount
Both the primary male and female respondents.
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
Both the primary male and female respondents.
What were the main reasons for receiving this money from [ID]?
List up to 3 reasons.
335
282
1
once a week
141
2
every two weeks
15
3
once a month
173
4
every three months
5
5
every six months
0
6
once a year
1
7
less than once a year
0
Sysmiss
282
Main reason for receiving money
Both the primary male and female respondents.
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
1
2
funeral expenses
0
3
school expenses
3
4
wedding expenses
0
5
transportation
5
6
household maintenance
136
7
subsistence needs
165
8
purchase of a durable good
0
9
investment
0
10
other (specify)
24
98
1
Sysmiss
282
Second reason for recieving money
Both the primary male and female respondents.
What were the main reasons for receiving this money from [ID]?
[List up to 3 reasons]
59
558
1
medical care
0
2
funeral expenses
0
3
school expenses
1
4
wedding expenses
0
5
transportation
0
6
household maintenance
9
7
subsistence needs
48
8
purchase of a durable good
0
9
investment
1
10
other (specify)
0
Sysmiss
558
Third reason for recieving money
Both the primary male and female respondents.
What were the main reasons for receiving this money from [ID]?
[List up to 3 reasons]
5
612
1
medical care
0
2
funeral expenses
0
3
school expenses
0
4
wedding expenses
0
5
transportation
1
6
household maintenance
1
7
subsistence needs
2
8
purchase of a durable good
1
9
investment
0
10
other (specify)
0
Sysmiss
612
Main reason for recieving money (Other)
Both the primary male and female respondents.
What were the main reasons for receiving this money from [ID]? Other (specify).
23
0
Date of most recent transfer- Month
Both the primary male and female respondents.
Date of Most Recent Transfer. Month.
333
284
Date of most recent transfer- Year
Both the primary male and female respondents.
Date of Most Recent Transfer. Year.
333
284
Household ID
Household ID
940
0
Respondent ID
Respondent ID
940
0
Line number
Both the primary male and female respondents.
0
940
Sysmiss
940
ID code of spouse
Both the primary male and female respondents.
ID code of spouse
940
0
How much did you receive
Both the primary male and female respondents.
Does any of this amount have to be paid back?
If answer is 2 > Go to 24 (trd24a - variable name in dataset).
940
0
10
150000
1735.218
6373.955
When did receive amount - Month
Both the primary male and female respondents.
When did you receive this amount from [ID]? Month.
940
0
When did receive amount - Year
Both the primary male and female respondents.
When did you receive this amount from [ID]? Year.
940
0
Have to pay back any of this amount
Both the primary male and female respondents.
Does any of this amount have to be paid back?
If answer is 2 > Go to 26 (trd26a - variable name in dataset).
940
0
1
Yes
43
2
No
897
How much more expect to pay back
Both the primary male and female respondents.
How much more do you expect to pay back?
43
897
0
80000
3437.209
12465.324
Main reason why received money
Both the primary male and female respondents.
What were the main reasons for receiving this money from [ID]?
[List up to 3 reasons]
940
0
1
98
7.101
3.461
1
medical care
11
2
funeral expenses
4
3
school expenses
24
4
wedding expenses
3
5
transportation
148
6
household maintenance
32
7
subsistence needs
513
8
purchase of a durable good
28
9
investment
33
10
other (specify)
143
98
1
Second reason why received money
Both the primary male and female respondents.
What were the main reasons for receiving this money from [ID]?
[List up to 3 reasons]
32
908
1
medical care
1
2
funeral expenses
0
3
school expenses
0
4
wedding expenses
0
5
transportation
1
6
household maintenance
6
7
subsistence needs
17
8
purchase of a durable good
0
9
investment
1
10
other (specify)
6
Sysmiss
908
Third reason why received money
Both the primary male and female respondents.
What were the main reasons for receiving this money from [ID]?
[List up to 3 reasons]
5
935
1
medical care
0
2
funeral expenses
0
3
school expenses
0
4
wedding expenses
1
5
transportation
2
6
household maintenance
2
7
subsistence needs
0
8
purchase of a durable good
0
9
investment
0
10
other (specify)
0
Sysmiss
935
Main reason why received money (Other)
Both the primary male and female respondents.
What were the main reasons for receiving this money from [ID]? Other (specify).
148
0
Household ID
Household ID
4439
0
Respondent ID
Respondent ID
4439
0
Time Alloc Module Done
4439
0
1
4439
Household ID
Household ID
4439
0
Respondent ID
Respondent ID
4439
0
Day of interview
Date of Interview. Day.
4439
0
Month of interview
Date of Interview. Month.
4439
0
Year of interview
Date of Interview. Year.
4439
0
Count of HH Members Listed
4439
0
Line Number
The primary female respondent.
All household members 8 years and older.
0
4439
ID Code
The primary female respondent.
ID Code
(List the ID codes of all household members 8 years and older.)
All household members 8 years and older.
4439
0
Hours spent preparing meals, etc.
The primary female respondent.
In the past 7 days (since last ____) how many hours has [NAME] spent preparing meals, cleaning the house, doing the laundry or shopping for food?
All household members 8 years and older.
4439
0
0
99
10.34
16.111
Hours spent collecting firewood
The primary female respondent.
In the past 7 days how many hours has [NAME] spent collecting firewood for your household?
All household members 8 years and older.
4439
0
0
99
3.195
13.534
Hours spent collecting water
The primary female respondent.
In the past 7 days how many hours has [NAME] spent collecting water?
All household members 8 years and older.
4439
0
0
99
4.819
13.749
Days of work restricted due to illness
The primary female respondent.
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
0
0
99
3.103
16.802
Days of work missed due to illness
The primary female respondent.
In the past 7 days, for how many days was [NAME] too sick to perform any work?
All household members 8 years and older.
4439
0
0
99
3.201
17.226
Hours spent seeking medical care
The primary female respondent.
In the past 7 days, how many hours did [NAME] spend seeking medical care (either for himself/herself or a family member) or caring for sick household members (either at home or in the hospital)?
For example, travelling to a health establishment, waiting, being treated, buying medicine, feeding the patient, etc.
All household members 8 years and older.
4438
1
0
99
4.605
19.583
Spent any time helping others without pay
The primary female respondent.
In the past 7 days has [NAME] spent any time helping others not in the household with work on their shambas or businesses without payment?
If answer is 2 > Go to next person.
All household members 8 years and older.
4436
3
1
Yes
174
2
No
4181
3
1
8
1
9
79
Sysmiss
3
Hours spent helping others
The primary female respondent.
In the past 7 days, how many hours did [NAME] spend in helping these people?
All household members 8 years and older.
175
4264
1
46
6.937
6.393
Other people helped (IRID) - 1
The primary female respondent.
Who were these people? IRID Code.
[List IRID Codes and hours for two most important people]
All household members 8 years and older.
175
0
Other people helped (hours) 1
The primary female respondent.
Who were these people? Hours.
[List IRID Codes and hours for two most important people]
All household members 8 years and older.
156
4283
1
35
7.474
5.677
Other people helped (IRID) - 2
The primary female respondent.
Who were these people? IRID Code.
[List IRID Codes and hours for two most important people]
All household members 8 years and older.
12
0
Other people helped (hours) 2
The primary female respondent.
Who were these people? Hours.
[List IRID Codes and hours for two most important people]
All household members 8 years and older.
12
4427
1
16
3.75
5.048
4439
0
3
4439
Household ID
Household ID
1383
0
Respondent ID
Respondent ID
1383
0
Knowledge & behavior module
1383
0
1
Yes
1383
2
No
0
Household ID
Household ID
1383
0
Respondent ID
Respondent ID
1383
0
Day of interview
Date of Interview. Day.
1383
0
Month of interview
Date of Interview. Month.
1383
0
Year of interview
Date of Interview. Year.
1383
0
When child has diarrhea should be given less to drink
The household head and spouse.
When a child has diarrhea, should he/she be given less to drink than usual, about the same amount, or more than usual?
1383
0
1
Less
37
2
Same
99
3
More
1228
9
19
99
Don’t Know
0
Percentage of children in village have malaria in past 12 mo
The household head and spouse.
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
The household head and spouse.
Can a person who looks healthy have HIV, the virus that causes AIDS?
1383
0
1
Yes
1118
2
No
170
3
1
9
94
99
Don’t Know
0
Personally know someone who has died from AIDS
The household head and spouse.
Since [Round 2], has anybody known to you personally died from AIDS?
Go to 5 (kb05 - variable name in dataset).]]>
1378
5
1
Yes
778
2
No
589
3
1
4
8
5
1
8
1
Sysmiss
5
What was relation to this person
The household head and spouse.
What was your relation to this person?
* If there are multiple persons, ask about person who died most recently.
783
600
1
Household member
19
2
Relative in this Division
107
3
Relative elsewhere
53
4
Non-relative in this Division
477
5
Non-relative elsewhere
125
8
2
Sysmiss
600
How many people have died from AIDS
The household head and spouse.
How many people (in total) known to you personally have died from AIDS?
1379
4
0
99
6.746
10.009
Personally know anyone who received or currently receiving t
The household head and spouse.
Since [Round 2], has anybody known to you personally begun to receive treatment for AIDS?
Go to 7 (kb07 - variable name in dataset).]]>
1376
7
1
Yes
989
2
No
380
4
7
Sysmiss
7
What is relationship to this person
The household head and spouse.
What was/is your relation to this person?
* If there are multiple persons, ask about closest relation.
989
394
1
Household member
37
2
Relative in this Division
149
3
Relative elsewhere
28
4
Non-relative in this Division
661
5
Non-relative elsewhere
114
Sysmiss
394
What happened to person's health since receiving treatment
The household head and spouse.
What has happened to this person’s health since receiving treatment?
1007
376
1
Recovered / Improved
966
2
Remained sick
16
3
Got more sick
1
4
Too early to tell
8
5
Died
3
9
1
11
10
12
1
99
Don’t Know
1
Sysmiss
376
In Kosirai, treatment for HIV/AIDS ie easily available
The household head and spouse.
In Kosirai Division, do you know whether treatment for HIV/AIDS is easily available, available but not for everyone who needs it, or not available at all?
1383
0
1
Easily available
1198
2
Available, but not for everyone who needs it
84
3
Not available at all
16
4
4
6
1
7
1
8
3
9
76
99
Don’t Know
0
Percentage of adults that have HIV/AIDS in Kosirai
The household head and spouse.
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
The household head and spouse.
1381
2
1
1062
2
302
3
6
4
4
5
1
6
1
8
5
Sysmiss
2
HIV-positive person should eat special diet
The household head and spouse.
1377
6
0
1
1
1141
2
171
3
3
4
6
5
4
9
51
Sysmiss
6
HIV-positive person specific foods
The household head and spouse.
1175
208
1
48
2
312
3
320
4
209
5
137
6
127
9
22
Sysmiss
208
HIV-positive person specific foods
The household head and spouse.
1133
250
1
46
2
208
3
342
4
336
5
115
6
86
Sysmiss
250
HIV-positive person specific foods
The household head and spouse.
1039
344
1
67
2
204
3
155
4
292
5
165
6
156
Sysmiss
344
HIV-positive person specific foods
The household head and spouse.
602
781
1
73
2
90
3
62
4
61
5
114
6
202
Sysmiss
781
HIV-positive person specific foods
The household head and spouse.
175
1208
1
8
2
12
3
10
4
7
5
20
6
118
Sysmiss
1208
HIV-positive person specific foods
The household head and spouse.
16
1367
1
2
2
1
3
1
5
2
6
10
Sysmiss
1367
HIV-positive person specific foods (other)
The household head and spouse.
689
0
_merge representing kba
The household head and spouse.
1383
0
1
1383
Which members regularly use mosquito nets
The household head and spouse.
Which household members regularly use mosquito nets when sleeping?
[List up to 5 HHID's]
710
673
Which members regularly use mosquito nets
The household head and spouse.
Which household members regularly use mosquito nets when sleeping?
[List up to 5 HHID's]
630
753
Which members regularly use mosquito nets
The household head and spouse.
Which household members regularly use mosquito nets when sleeping?
[List up to 5 HHID's]
441
942
Which members regularly use mosquito nets
The household head and spouse.
Which household members regularly use mosquito nets when sleeping?
[List up to 5 HHID's]
288
1095
Which members regularly use mosquito nets
The household head and spouse.
Which household members regularly use mosquito nets when sleeping?
[List up to 5 HHID's]
152
1231
Ever been tested for HIV
The household head and spouse.
Have you ever been tested for HIV since [Round2]?
If answer is 2 or 99 > Go to 12 (kbb12 - variable name in dataset).
1383
0
1
Yes
205
2
No
1176
8
1
9
1
99
Don’t Know
0
Was this your first HIV test
The household head and spouse.
Was this your first HIV test?
205
1178
1
Yes
89
2
No
112
3
2
8
2
Sysmiss
1178
Month when tested for HIV
The household head and spouse.
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
The household head and spouse.
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
The household head and spouse.
Where did you get tested for HIV most recently?
206
1177
1
Mosoriot Health Center
163
2
Turbo Health Center
0
3
Burnt Forest Health Center
0
4
Eldoret
12
5
Kapsabet
13
6
Kisumu
0
7
Other (specify)
17
8
1
99
Don’t know
0
Sysmiss
1177
Where tested for HIV (Other)
The household head and spouse.
Where did you get tested for HIV most recently? Other (specify).
14
0
Most recent test in VCT, etc.
The household head and spouse.
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
128
2
Antenatal clinic
62
3
Other (specify)
15
4
Won’t say
0
8
1
Sysmiss
1177
Main reason why went for an HIV test
The household head and spouse.
What was the main reason why you went for an HIV test?
152
1231
1
partner suspected to be unfaithful
7
2
have had multiple partners
2
3
to get married
0
4
sick before test
41
5
spouse encouraged
13
6
friend encouraged
15
7
attended baraza
6
8
Other (specify)
67
9
1
Sysmiss
1231
Main reason why went for an HIV test (Other)
The household head and spouse.
What was the main reason why you went for an HIV test? Other (specify).
65
0
What was the result of HIV test
The household head and spouse.
What was the result of your HIV test?
* emphasize confidentiality when asking this question
206
1177
1
HIV-Positive
41
2
HIV-Negative
162
3
Won’t say
0
8
1
9
2
Sysmiss
1177
HIV result came as a surprise
The household head and spouse.
205
1178
1
Same as expected
159
2
Surprised – worse than expected
13
3
Surprised – better than expected
30
4
Won’t say
0
8
3
Sysmiss
1178
Have informed spouse about HIV status
The household head and spouse.
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
168
2
No
12
3
N/A (no spouse or main partner)
24
8
1
Sysmiss
1178
Who else informed - A
The household head and spouse.
Who else have you informed about your status?
87
0
Who else informed - B
The household head and spouse.
Who else have you informed about your status?
50
0
Who else informed - C
The household head and spouse.
Who else have you informed about your status?
26
0
Chances of having HIV/AIDS
The household head and spouse.
Do you think your chances of having HIV/AIDS are high, moderate, low, or do you think you are at no risk at all?
1383
0
1
High
405
2
Moderate
74
3
Low
467
4
No risk at all
417
8
2
9
18
Percent chance of having HIV/AIDS
The household head and spouse.
What do you think is the percent chance (0 to 100) that you currently have HIV/AIDS?
1383
0
0
100
38.444
41.653
_merge representing kbb
1383
0
1
1383
Sexual questions asked?
The household head and spouse.
Men under 59 yrs, women under 49 yrs.
1382
1
Sexually active since round 2
The household head and spouse.
In the past 12 months, have you been sexually active?
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
838
2
No
201
3
337
8
1
Sysmiss
6
Regular partners since Round 2
The household head and spouse.
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
The household head and spouse.
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
1383
0
1
1383
_merge representing kbc1
1383
0
0
346
1
1037
Infected with HIV virus is a sign of weak character
The household head and spouse.
1383
0
1
strongly agree
708
2
agree somewhat
417
3
feel neutral
33
4
disagree
189
5
strongly disagree
32
8
2
9
2
99
Don’t Know
0
Feel ashamed of having HIV
The household head and spouse.
1383
0
1
strongly agree
171
2
agree somewhat
382
3
feel neutral
42
4
disagree
670
5
strongly disagree
112
8
4
9
2
99
Don’t Know
0
People feel angry with people with HIV/AIDS
The household head and spouse.
Most people I know feel angry with people with HIV/AIDS for having inflicted this condition upon themselves.
1383
0
1
strongly agree
353
2
agree somewhat
470
3
feel neutral
34
4
disagree
482
5
strongly disagree
32
8
8
9
4
99
Don’t Know
0
Feel angry with self for having inflicted
The household head and spouse.
1383
0
1
strongly agree
85
2
agree somewhat
232
3
feel neutral
61
4
disagree
837
5
strongly disagree
165
8
1
9
2
99
Don’t Know
0
People avoid contact with people living with HIV/AIDS
The household head and spouse.
Most people I know avoid contact with people living with HIV/AIDS because they are afraid of contracting the disease.
1383
0
1
strongly agree
448
2
agree somewhat
431
3
feel neutral
14
4
disagree
317
5
strongly disagree
167
8
3
9
3
99
Don’t Know
0
Feel should stay away from children and friends
The household head and spouse.
1383
0
1
strongly agree
23
2
agree somewhat
56
3
feel neutral
6
4
disagree
438
5
strongly disagree
858
8
1
9
1
99
Don’t Know
0
People feel disgust with people living with HIV/AIDS
The household head and spouse.
Most people I know feel disgust with people living with HIV/AIDS.
1383
0
1
strongly agree
344
2
agree somewhat
583
3
feel neutral
32
4
disagree
402
5
strongly disagree
17
8
2
9
3
99
Don’t Know
0
Feel disgusted with body
The household head and spouse.
1383
0
1
strongly agree
90
2
agree somewhat
312
3
feel neutral
67
4
disagree
820
5
strongly disagree
90
8
2
9
2
99
Don’t Know
0
Female teacher with HIV should continue teaching
The household head and spouse.
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
0
1
strongly agree
1026
2
agree somewhat
211
3
feel neutral
6
4
disagree
113
5
strongly disagree
24
8
1
9
2
99
Don’t Know
0
I should be aloowed to continue teaching in the school
The household head and spouse.
1383
0
1
strongly agree
1188
2
agree somewhat
131
3
feel neutral
16
4
disagree
38
5
strongly disagree
8
8
1
9
1
99
Don’t Know
0
_merge representing kbd
1383
0
1
1383
1383
0
3
1383
Household ID
Household ID
1065
0
Respondent ID
Respondent ID
1065
0
Number
0
1065
Sysmiss
1065
Partner ID code
HHID or IRID
1065
0
Relationship to partner (HHID/IRID)
The household head and spouse.
What is your relationship to this sexual partner?
Men under 59 yrs and women under 49 yrs.
896
169
1
Spouse
733
2
Live-in partner
13
3
Partner not living with you
132
4
Casual acquaintance
17
5
Other (specify)
1
Sysmiss
169
Relationship to partner (HHID/IRID) (Other)
The household head and spouse.
What is your relationship to this sexual partner? Other (specify).
Men under 59 yrs and women under 49 yrs.
1
0
Last time had sex with the partner
The household head and spouse.
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
459
2
One to four weeks ago
246
3
More than a month ago
188
Sysmiss
172
Used condom when last had sex with partner
The household head and spouse.
When you last had sex with this partner, did you use condoms?
Men under 59 yrs and women under 49 yrs.
893
172
1
Yes
305
2
No
586
8
2
Sysmiss
172
Think partner has other partners in past 6 months
The household head and spouse.
Do you think your partner has had other partners in the past 6 months?
Men under 59 yrs and women under 49 yrs.
893
172
1
Yes
116
2
No
573
9
204
99
Don’t know
0
Sysmiss
172
Partner been tested for HIV
The household head and spouse.
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
409
2
No
415
8
2
9
67
99
Don’t know
0
Sysmiss
172
Month when partner was tested
The household head and spouse.
When was your partner tested for HIV? Month.
Men under 59 yrs and women under 49 yrs.
411
654
Year when partner was tested
The household head and spouse.
When was your partner tested for HIV? Year.
Men under 59 yrs and women under 49 yrs.
411
654
Know partner's HIV status
The household head and spouse.
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
402
2
No
9
Sysmiss
654
Partner's HIV status
The household head and spouse.
What is your partner’s HIV status?
Men under 59 yrs and women under 49 yrs.
402
663
1
HIV-Positive
150
2
HIV-Negative
251
3
Won’t say
1
Sysmiss
663
Partner's chances of HIV/AIDS
The household head and spouse.
Do you think your partner’s chances of having HIV/AIDS are high, moderate, low, or do you think he/she is at no risk at all?
Men under 59 yrs and women under 49 yrs.
891
174
1
High
211
2
Moderate
72
3
Low
391
4
No risk at all
193
8
5
9
19
Sysmiss
174
Have you argued/quarreled
The household head and spouse.
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
734
2
No
328
3
1
8
1
Sysmiss
1
How often do you argue
The household head and spouse.
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
402
2
Sometimes
304
3
Often
30
8
1
Sysmiss
328
What is main reason for arguing
The household head and spouse.
What is the main reason why you argue or quarrel?
Men under 59 yrs and women under 49 yrs.
330
0
Does this ever result in violence
The household head and spouse.
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
111
2
No
219
8
5
Sysmiss
730
How frequently result in violence
The household head and spouse.
How frequently has this happened in the past 12 months?
Men under 59 yrs and women under 49 yrs.
116
949
0
98
5.19
19.851
Household ID
Household ID
798
0
Respondent ID
Respondent ID
798
0
Anthropometric Module done
798
0
1
Yes
798
2
No
0
Household ID
Household ID
798
0
Respondent ID
Respondent ID
798
0
Day of interview
Date of Interview. Day.
798
0
Month of interview
Date of Interview. Month.
798
0
Year of interview
Date of Interview. Year.
798
0
Number of children 7 yrs and under
798
0
1
5
2.128
0.934
Number of children 12 yrs and under
798
0
0
7
0.654
0.797
Count of Section C
798
0
0
31
3.04
4.652
Column number
The primary female respondent
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.
0
798
Code of child - Anthropomentric
The primary female respondent.
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
0
Name of child - Anthropometrics
The primary female respondent.
Copy the NAME of the household member from the Household Roster, matching the name to ID code.
All children who are currently household members and are 7 years or younger and all primary respondents (household head, spouse, and interviewed youth).
795
0
Child measured
The primary female respondent.
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
637
2
No
159
8
1
Sysmiss
1
Day measured
The primary female respondent.
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
The primary female respondent.
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
The primary female respondent.
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)
The primary female respondent.
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
2.8
99
14.86
7.933
Amount of clothing
The primary female respondent.
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
13
2
Normal
595
3
Removed some clothing
27
Sysmiss
163
Height or Length (cm)
The primary female respondent.
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
14.4
135
95.665
18.819
Reason not measured
The primary female respondent.
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
0
2
At work
0
3
Boarding/traveling
10
4
Serious Illness
0
5
Refusal
22
6
Other
10
7
In-clinic interview
101
8
17
Sysmiss
638
798
0
3
798
Household ID
Household ID
265
0
Respondent ID
Respondent ID
265
0
Anthropometric Module done
265
0
1
Yes
265
2
No
0
Household ID
Household ID
265
0
Respondent ID
Respondent ID
265
0
Day of interview
Date of Interview. Day.
265
0
Month of interview
Date of Interview. Month.
265
0
Year of interview
Date of Interview. Year.
265
0
Number of children 7 yrs and under
265
0
0
5
1.97
1.073
Number of children 12 yrs and under
265
0
1
7
1.408
1.052
Count of Section C
265
0
0
31
5.713
5.856
Column number
The primary female respondent
0
265
Sysmiss
265
ID code
The primary female respondent.
ID CODE of child
265
0
Have a vaccination card
The primary female respondent.
If answer is 2 > Go to 12 (ant12 - variable name in dataset).
265
0
1
Yes
175
2
No
88
9
2
Where received most vaccinations
The primary female respondent.
Where did [Name] receive most of the vaccinations?
175
90
1
99
7.229
18.642
BCG vaccination - Day
The primary female respondent.
BCG. Day.
165
100
1
31
15.085
8.824
1
3
2
8
3
5
4
2
5
14
6
4
7
2
8
11
9
11
10
3
12
5
13
11
14
3
15
5
16
10
17
6
18
3
19
4
20
3
21
2
22
6
23
6
24
6
25
3
26
7
27
6
28
3
29
3
30
6
31
4
Sysmiss
100
BCG vaccination - Month
The primary female respondent.
BCG. Month.
165
100
1
14
2
14
3
15
4
15
5
14
6
10
7
23
8
21
9
9
10
6
11
17
12
7
Sysmiss
100
BCG vaccination - Year
The primary female respondent.
BCG. Year.
165
100
1994
1
2002
1
2003
9
2004
59
2005
66
2006
29
Sysmiss
100
Polio 0 vaccination - Day
The primary female respondent.
Polio 0 (at birth). Day.
133
132
1
98
25.549
28.088
1
1
2
4
3
4
4
2
5
4
6
5
7
2
8
8
9
9
10
3
12
5
13
6
14
3
15
3
16
7
17
4
18
4
19
5
20
4
22
3
23
4
24
3
25
1
26
2
27
8
28
2
29
3
30
4
31
4
98
16
Sysmiss
132
Polio 0 vaccination - Month
The primary female respondent.
Polio 0 (at birth). Month.
133
132
1
98
16.932
30.269
1
12
2
13
3
15
4
11
5
10
6
6
7
8
8
9
9
7
10
10
11
12
12
4
98
16
Sysmiss
132
Polio 0 vaccination - Year
The primary female respondent.
Polio 0 (at birth). Year.
132
133
1994
9998
2912.932
2546.526
1994
1
2002
1
2003
6
2004
46
2005
39
2006
24
9998
15
Sysmiss
133
Polio 1 vaccination - Day
The primary female respondent.
Polio 1. Day.
167
98
1
98
17.389
14.131
1
2
2
4
3
10
4
5
5
9
6
6
7
7
8
2
9
7
10
9
11
5
12
3
13
4
14
3
15
4
16
1
17
6
18
1
19
2
20
7
21
6
22
5
23
10
24
9
25
7
26
9
27
5
28
5
29
6
30
3
31
2
98
3
Sysmiss
98
Polio 1 vaccination - Month
The primary female respondent.
Polio 1. Month.
167
98
1
98
8.323
12.592
1
8
2
13
3
14
4
14
5
20
6
11
7
9
8
11
9
29
10
10
11
14
12
11
98
3
Sysmiss
98
Polio 1 vaccination - Year
The primary female respondent.
Polio 1. Year.
167
98
1994
9998
2148.204
1064.882
1994
1
2002
2
2003
8
2004
59
2005
66
2006
28
9998
3
Sysmiss
98
Polio 2 vaccination - Day
The primary female respondent.
Polio 2. Day.
160
105
1
31
15.413
9.376
1
5
2
4
3
11
4
13
5
2
6
2
7
9
8
9
9
2
10
3
11
3
12
5
13
3
14
4
15
5
16
4
17
3
18
2
19
10
20
4
21
3
22
4
23
7
24
5
25
6
26
6
27
8
28
6
29
4
30
7
31
1
Sysmiss
105
Polio 2 vaccination - Month
The primary female respondent.
Polio 2. Month.
160
105
1
10
2
11
3
12
4
14
5
13
6
15
7
9
8
9
9
15
10
29
11
10
12
13
Sysmiss
105
Polio 2 vaccination - Year
The primary female respondent.
Polio 2. Year.
160
105
1994
1
2002
2
2003
6
2004
54
2005
68
2006
29
Sysmiss
105
Polio 3 vaccination - Day
The primary female respondent.
Polio 3. Day.
150
115
1
98
17.847
17.46
1
7
2
3
3
5
4
8
5
6
6
3
7
12
8
3
9
3
10
6
11
6
12
3
13
4
14
3
15
3
16
3
17
5
18
6
19
4
20
4
21
7
22
4
24
3
25
7
26
5
27
4
28
4
29
8
30
4
31
2
98
5
Sysmiss
115
Polio 3 vaccination - Month
The primary female respondent.
Polio 3. Month.
150
115
1
98
10.507
18.267
1
6
2
16
3
15
4
12
5
13
6
9
7
5
8
5
9
13
10
16
11
22
12
12
98
6
Sysmiss
115
Polio 3 vaccination - Year
The primary female respondent.
Polio 3. Year.
150
115
1994
9998
2324.48
1571.599
1994
1
2002
2
2003
4
2004
47
2005
54
2006
36
9998
6
Sysmiss
115
DPT 1/Pentavalent 1 vaccination - Day
The primary female respondent.
DPT 1. Day.
167
98
1
31
16.401
9.009
1
2
2
5
3
10
4
4
5
8
6
5
7
5
8
4
9
4
10
10
11
4
12
3
13
5
14
4
15
6
16
3
17
2
18
2
19
4
20
8
21
3
22
2
23
11
24
13
25
10
26
5
27
7
28
5
29
9
30
3
31
1
Sysmiss
98
DPT 1/Pentavalent 1 vaccination - Month
The primary female respondent.
DPT 1. Month.
167
98
1
7
2
12
3
17
4
14
5
21
6
11
7
10
8
23
9
17
10
9
11
13
12
13
Sysmiss
98
DPT 1/Pentavalent 1 vaccination - Year
The primary female respondent.
DPT 1. Year.
167
98
1994
1
2002
2
2003
7
2004
61
2005
68
2006
28
Sysmiss
98
DPT 2/Pentavalent 2 vaccination - Day
The primary female respondent.
DPT 2. Day.
160
105
1
31
16.05
9.285
1
4
2
3
3
10
4
10
5
4
6
2
7
10
8
5
9
3
10
5
11
3
12
5
13
4
14
6
15
4
16
2
17
4
18
2
19
4
20
3
21
7
22
7
23
9
24
5
25
3
26
10
27
5
28
9
29
4
30
6
31
2
Sysmiss
105
DPT 2/Pentavalent 2 vaccination - Month
The primary female respondent.
DPT 2. Month.
160
105
1
14
2
7
3
13
4
13
5
15
6
19
7
11
8
11
9
19
10
17
11
8
12
13
Sysmiss
105
DPT 2/Pentavalent 2 vaccination - Year
The primary female respondent.
DPT 2. Year.
160
105
1994
1
2002
2
2003
6
2004
51
2005
73
2006
27
Sysmiss
105
DPT 3/Pentavalent 3 vaccination - Day
The primary female respondent.
DPT 3. Day.
154
111
1
98
16.519
12.903
1
7
2
4
3
2
4
8
5
6
6
4
7
11
8
5
9
4
10
3
11
5
12
5
13
4
14
3
15
4
16
4
17
3
18
3
19
8
20
5
21
6
22
7
23
3
24
4
25
10
26
6
27
4
28
3
29
6
30
4
31
1
98
2
Sysmiss
111
DPT 3/Pentavalent 3 vaccination - Month
The primary female respondent.
DPT 3. Month.
154
111
1
98
7.948
10.896
1
10
2
13
3
10
4
13
5
11
6
11
7
19
8
11
9
7
10
20
11
19
12
8
98
2
Sysmiss
111
DPT 3/Pentavalent 3 vaccination - Year
The primary female respondent.
DPT 3. Year.
154
111
1994
9998
2108.506
907.94
1994
1
2002
2
2003
4
2004
50
2005
66
2006
29
9998
2
Sysmiss
111
Measles vaccination - Day
The primary female respondent.
Measles. Day.
132
133
1
98
25.197
28.323
1
3
2
3
3
5
4
3
5
4
6
2
8
5
9
9
10
10
11
7
12
3
13
2
14
6
15
2
16
6
17
3
18
4
20
1
21
6
22
2
23
7
24
1
25
3
26
1
27
4
28
4
29
1
30
7
31
2
98
16
Sysmiss
133
Measles vaccination - Month
The primary female respondent.
Measles. Month.
132
133
1
98
16.841
30.42
1
13
2
8
3
18
4
12
5
15
6
8
7
5
8
8
9
8
10
6
11
10
12
5
98
16
Sysmiss
133
Measles vaccination - Year
The primary female respondent.
Measles. Year.
132
133
2002
9998
2973.902
2618.623
2002
1
2003
2
2004
23
2005
53
2006
37
9998
16
Sysmiss
133
Receive any vaccination
The primary female respondent.
Did [Name] ever receive any vaccinations to prevent him/her from getting diseases?
If answer is 2 > Go to 21 (ant21 - variable name in dataset).
115
150
1
Yes
111
2
No
1
8
2
9
1
Sysmiss
150
Where received most vaccinations
The primary female respondent.
Where did [Name] receive most of the vaccinations?
110
155
1
99
7.782
19.984
Received BCG vaccine
The primary female respondent.
A BCG vaccine against tuberculosis, that is, an injection in the left arm that caused a scar?
111
154
1
99
5.45
20.411
1
Yes
103
2
No
2
99
Don’t Know
5
Received Polio vaccine
The primary female respondent.
Polio vaccine, that is, drops in the mouth?
If answer is 2 or 99 > Go to 18 (ant18 - variable name in dataset).
146
119
1
99
4.37
17.882
1
Yes
139
2
No
2
99
Don’t Know
5
How many times received polio vaccine
The primary female respondent.
How many times?
139
126
1
99
5.871
16.067
When was the first polio vaccine given
The primary female respondent.
When was the first vaccine given, just after birth or later?
134
131
1
Just after birth
72
2
Later
59
9
3
Sysmiss
131
Received DPT vaccine
The primary female respondent.
DPT vaccination, that is, an injection usually given the same time as polio drops?
If answer is 2 or 99 > Go to 20 (ant20 - variable name in dataset).
121
144
1
99
8.322
25.781
1
Yes
107
2
No
5
99
Don’t Know
8
How many times received DPT vaccine
The primary female respondent.
How many times?
108
157
0
99
5.417
15.847
Received an injection to prevent measles
The primary female respondent.
An injection to prevent measles?
Go to next person.
140
125
1
99
5.521
19.857
1
Yes
89
2
No
45
99
Don’t Know
6
Why not received vaccinations
The primary female respondent.
Why did [Name] not receive vaccinations?
3
262
1
Clinic too far away /difficult to get to
0
2
Child or parent was sick
0
3
Vaccine out of stock
1
4
Forgot to take child
0
5
Don’t believe vaccine is effective
0
6
Don’t know about the vaccine
0
7
Other (specify)
2
Sysmiss
262
Why not received vaccinations (other)
The primary female respondent.
Why did [Name] not receive vaccinations? Other (specify).
2
0
CHILD ONE MONTH OLD
1
YET TO GO TO CLINIC
1
265
0
3
265
Household ID
Household ID
1120
0
Respondent ID
Respondent ID
1120
0
Anthropometric Module done
1120
0
1
Yes
1120
2
No
0
Household ID
Household ID
1120
0
Respondent ID
Respondent ID
1120
0
Day of interview
Date of Interview. Day.
1120
0
Month of interview
Date of Interview. Month.
1120
0
Year of interview
Date of Interview. Year.
1120
0
Number of children 7 yrs and under
1120
0
0
4
2.166
0.919
Number of children 12 yrs and under
1120
0
1
7
1.352
0.9
Count of Section C
1120
0
1
31
9.611
5.606
Line number
The primary female respondent
ID Code
0
1120
Sysmiss
1120
ID code
The primary female respondent
ID Code
1120
0
3
55
4
117
5
186
6
97
7
158
8
117
9
63
10
90
11
50
12
1
13
60
14
23
15
16
16
30
17
30
18
16
20
5
21
6
Age in months
The primary female respondent
Age in months.
1120
0
0
26
5.33
3.489
Weight in KG
The primary female respondent
Weight (kg)
1114
6
2.1
99
6.719
5.102
1120
0
3
1120
Household ID
Household ID
369
0
Respondent ID
Respondent ID
369
0
Marriages module
369
0
1
Yes
369
2
No
0
Household ID
Household ID
369
0
Respondent ID
Respondent ID
369
0
Day of interview
Date of Interview. Day.
369
0
Month of interview
Date of Interview. Month.
369
0
Year of interview
Date of Interview. Year.
369
0
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
0
1
Yes
15
2
No
354
Household ID
Household ID
14
0
Respondent ID
Respondent ID
14
0
Count
0
14
Sysmiss
14
Household ID of partner
Go to section B (marriage_b - name of dataset).]]>
Men and women who have married since Round 2.
0
14
Sysmiss
14
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
0
01
5
02
3
04
1
06
2
07
1
10
1
20
1
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
0
0
98
29.429
44.555
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
11
2
Church/religious ceremony
0
3
Civil ceremony
0
4
Traditional ceremony
2
5
Inherited spouse
0
6
Other (specify)
0
Sysmiss
1
Living arrangement - Other
Men and women who have married since Round 2.
0
0
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
0
1
Cohabitation
7
2
Church/religious ceremony
3
3
Civil ceremony
0
4
Traditional ceremony
4
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
7
2
No
0
Sysmiss
7
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
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
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
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
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
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
0
10000
2928.571
3446.116
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
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
0
640000
140714.286
237630.465
When spouse goes to health facility has permission
Men and women who have married since Round 2.
14
0
1
She asks
1
2
She informs
12
3
Goes on own / doesn’t need to inform
1
99
Don’t Know
0
When spouse goes to market ask for permision
Men and women who have married since Round 2.
14
0
1
She asks
3
2
She informs
10
3
Goes on own / doesn’t need to inform
1
99
Don’t Know
0
When spouse goes to visit others ask for permission
Men and women who have married since Round 2.
14
0
1
She asks
1
2
She informs
8
3
Goes on own / doesn’t need to inform
5
99
Don’t Know
0
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
0
1
Respondent only
2
2
Spouse only
1
3
Both
10
4
Other resident family member
0
5
Not Applicable (no children)
1
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
0
1
Yes
12
2
No
2
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).
14
0
1
Yes
13
2
No
1
What spouse think is the best protection against AIDS
What did he/she think was the best protection against AIDS?
13
1
1
Sex only with spouse
9
2
Condom with spouse/partner
4
3
Condom with extra-marital partner(s)
0
4
Abstain
0
5
Other (specify)
0
Sysmiss
1
Best protection - Other
What did he/she think was the best protection against AIDS? Other (specific).
0
0
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).
14
0
1
Often
4
2
Sometimes
6
3
Rarely
3
4
Never
1
Last time with spouse about it
When was the last time you talked about it with your spouse?
13
1
1
Within the past week
3
2
Within the past month
8
3
Within the past year
2
4
Within the past five years
0
88
Don’t recall
0
Sysmiss
1
Would feel confortable suggest the use of condom
Would you feel comfortable suggesting to your partner that you and he/she use condoms?
14
0
1
Yes
11
2
No
3
Household ID
Household ID
5
0
Respondent ID
Respondent ID
5
0
Count
0
5
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.
5
0
Year when married
In what year were you married?
Men and women who have married since Round 2.
5
0
How long were married
How long were you married to this person?
Men and women who have married since Round 2.
5
0
3
98
24.8
41.069
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
0
1
Divorce
1
2
Separation
3
3
Spouse died
1
4
Abandoned
0
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 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
1
2
Traffic accident
0
3
Childbirth or complications
0
4
Homicide
0
5
Suicide
0
6
Other accident or injury
0
7
Other (specify)
0
Sysmiss
4
Why spouse died - Other
Why did the spouse die? Other (specify).
Men and women who have married since Round 2.
0
0
Illness died from
What illness did they die from?
Men and women who have married since Round 2.
1
4
1
HIV/AIDS
0
2
Asthma
0
3
Bilharzia/ Shistosomiasis
0
4
Cancer
0
5
Diarrhea
0
6
Dysentry
0
7
Fracture/break
0
8
Gnorrhea
0
9
Intestinal Parisites
0
10
Malaria
0
11
Malnutrition (Kwashiorkor/Marasmus)
0
12
Measles
0
13
Meningitis
0
14
Poisoning
0
15
Polio
0
16
Syphilis
0
17
Tetanus
0
18
Tuberculosis
1
19
Typhoid
0
20
Urinary Infection
0
21
Witchcraft
0
22
Other STD (specify)
0
23
Other illness (specify)
0
24
Other injury (specify)
0
99
Don’t know
0
Sysmiss
4
Illness died from - Other
What illness did they die from? Other (specify).
Men and women who have married since Round 2.
0
0
How many children had with this person
How many children did you have with this person?
Go to 10 (mc10 - variable name in dataset).]]>
Men and women who have married since Round 2.
5
0
0
98
20.4
43.397
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
0
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
0
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
0
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
0
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
0
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
0
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
0
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.
0
0
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
0
0
640000
163019.6
270346.102
Household ID
Household ID
976
0
Respondent ID
Respondent ID
976
0
Mortality Module
976
0
1
Yes
976
2
No
0
Household ID
Household ID
976
0
Respondent ID
Respondent ID
976
0
Day of interview
Date of Interview. Day.
976
0
Month of interview
Date of Interview. Month.
976
0
Year of interview
Date of Interview. Year.
976
0
Count Section C
976
0
Count Section D
976
0
Anyone died since Round 2
The individual who is the household head during the time of the interview.
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
0
1
Yes
32
2
No
944
Count of deaths
32
944
_merge representing mortalitya
976
0
1
976
_merge representing mortalitya2
976
0
0
944
1
32
Any children died while living elsewhere since Round 2
The individual who is the household head during the time of the interview.
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)?
End.]]>
976
0
1
Yes
6
2
No
970
Count of children who died
6
970
_merge representing mortalityb
976
0
1
976
_merge representing mortalityb2
976
0
0
970
1
6
_merge representing mortalityc
976
0
0
917
1
59
_merge representing mortalityd
976
0
0
807
1
169
976
0
3
976
Household ID
Household ID
32
0
Respondent ID
Respondent ID
32
0
Count
0
32
Name of deceased
The individual who is the household head during the time of the interview.
NAME of deceased person.
All household members who died between round 2 and round 3
32
0
ID code
The individual who is the household head during the time of the interview.
ID Code of deceased person (from household roster).
All household members who died between round 2 and round 3
31
0
Sex
The individual who is the household head during the time of the interview.
Sex of [NAME]
All household members who died between round 2 and round 3
32
0
1
Male
19
2
Female
13
Relationship
The individual who is the household head during the time of the interview.
What was the relation between [NAME] and the respondent?
All household members who died between round 2 and round 3
16
0
Relationship - Other
The individual who is the household head during the time of the interview.
What was the relation between [NAME] and the respondent? Other (specify).
All household members who died between round 2 and round 3
0
0
Age when died
The individual who is the household head during the time of the interview.
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
The individual who is the household head during the time of the interview.
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
9
2
No
7
Sysmiss
16
Natural parent living in HH hold
The individual who is the household head during the time of the interview.
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
7
2
No
8
8
1
Sysmiss
16
Parents - Father ID
The individual who is the household head during the time of the interview.
Who are the parents of [NAME]? Father ID.
All household members who died between round 2 and round 3
7
25
Parents - Mother ID
The individual who is the household head during the time of the interview.
Who are the parents of [NAME]? Mother ID.
All household members who died between round 2 and round 3
7
25
Was older than 12 years
The individual who is the household head during the time of the interview.
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
0
1
Yes
26
2
No
6
Was married at the time of death
The individual who is the household head during the time of the interview.
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
18
2
No
8
Sysmiss
6
Spouse live in household
The individual who is the household head during the time of the interview.
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
9
2
No
0
Sysmiss
23
Spouse ID code
The individual who is the household head during the time of the interview.
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
The individual who is the household head during the time of the interview.
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
10
2
No
1
Sysmiss
21
ID code of children - 1
The individual who is the household head during the time of the interview.
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
The individual who is the household head during the time of the interview.
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
The individual who is the household head during the time of the interview.
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
The individual who is the household head during the time of the interview.
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
The individual who is the household head during the time of the interview.
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
The individual who is the household head during the time of the interview.
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
The individual who is the household head during the time of the interview.
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
The individual who is the household head during the time of the interview.
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
The individual who is the household head during the time of the interview.
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
0
Ever attend school
The individual who is the household head during the time of the interview.
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
1
2
No
5
8
10
Sysmiss
16
Highest grade - Level
The individual who is the household head during the time of the interview.
What was the highest grade [NAME] completed? Level.
All household members who died between round 2 and round 3
1
31
1
Nursery
0
2
Primary
0
3
Secondary
1
4
Post-sec.
0
Sysmiss
31
Highest grade - # of years
The individual who is the household head during the time of the interview.
What was the highest grade [NAME] completed? Number of years.
All household members who died between round 2 and round 3
0
32
Sysmiss
32
When died - Month
The individual who is the household head during the time of the interview.
All household members who died between round 2 and round 3
32
0
When died - Year
The individual who is the household head during the time of the interview.
All household members who died between round 2 and round 3
32
0
Cause of death
The individual who is the household head during the time of the interview.
What was the cause of [NAME’s] death?
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
0
1
Illness
27
2
Traffic accident
0
3
Childbirth or complications
0
4
Homicide
0
5
Suicide
2
6
Other accident or injury
0
7
Other (specify)
3
99
Don’t Know
0
Cause of death - Other
The individual who is the household head during the time of the interview.
What was the cause of [NAME’s] death?
All household members who died between round 2 and round 3
3
0
Ever seek medical treatment for condition
The individual who is the household head during the time of the interview.
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
27
2
No
0
Sysmiss
5
Health practitioners visited - 1
The individual who is the household head during the time of the interview.
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)
3
2
Government District/Provincial Hosp.
7
3
Mosoriot Rural Health Center
12
4
Government Health Center (exc. Mosoriot)
2
5
Government dispensary
1
6
Mission hospital/clinic
2
7
Other private hospital/clinic
0
8
Chemist/pharmacy
0
9
Private doctor (like priv. clinic)
0
10
Mobile clinic
0
11
Community health worker
0
12
Retail shop
0
13
Herbalist/traditional healer
0
14
Relative/friend
0
15
Other (specify)
0
Sysmiss
5
Health practitioners visited - 2
The individual who is the household head during the time of the interview.
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)
3
2
Government District/Provincial Hosp.
3
3
Mosoriot Rural Health Center
3
4
Government Health Center (exc. Mosoriot)
2
5
Government dispensary
0
6
Mission hospital/clinic
0
7
Other private hospital/clinic
2
8
Chemist/pharmacy
0
9
Private doctor (like priv. clinic)
2
10
Mobile clinic
0
11
Community health worker
0
12
Retail shop
0
13
Herbalist/traditional healer
0
14
Relative/friend
0
15
Other (specify)
0
Sysmiss
17
Health practitioners visited - 3
The individual who is the household head during the time of the interview.
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)
1
2
Government District/Provincial Hosp.
0
3
Mosoriot Rural Health Center
0
4
Government Health Center (exc. Mosoriot)
0
5
Government dispensary
0
6
Mission hospital/clinic
0
7
Other private hospital/clinic
0
8
Chemist/pharmacy
0
9
Private doctor (like priv. clinic)
2
10
Mobile clinic
0
11
Community health worker
0
12
Retail shop
0
13
Herbalist/traditional healer
0
14
Relative/friend
0
15
Other (specify)
0
Sysmiss
29
Health practitioners - Other
The individual who is the household head during the time of the interview.
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
0
0
Illness health practitioner report
The individual who is the household head during the time of the interview.
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
12
2
Asthma
0
3
Bilharzia/ Shistosomiasis
0
4
Cancer
3
5
Diarrhea
1
6
Dysentry
0
7
Fracture/break
0
8
Gnorrhea
0
9
Intestinal Parisites
0
10
Malaria
2
11
Malnutrition (Kwashiorkor/Marasmus)
0
12
Measles
0
13
Meningitis
1
14
Poisoning
0
15
Polio
0
16
Syphilis
0
17
Tetanus
0
18
Tuberculosis
1
19
Typhoid
0
20
Urinary Infection
2
21
Witchcraft
0
22
Other STD (specify)
0
23
Other illness (specify)
4
24
Other injury (specify)
0
31
1
99
Don’t know
0
Sysmiss
5
Illness practitioner report - Other
The individual who is the household head during the time of the interview.
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
0
Illness respondent think
The individual who is the household head during the time of the interview.
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
12
2
Asthma
0
3
Bilharzia/ Shistosomiasis
0
4
Cancer
3
5
Diarrhea
1
6
Dysentry
0
7
Fracture/break
0
8
Gnorrhea
0
9
Intestinal Parisites
0
10
Malaria
1
11
Malnutrition (Kwashiorkor/Marasmus)
0
12
Measles
0
13
Meningitis
1
14
Poisoning
0
15
Polio
0
16
Syphilis
0
17
Tetanus
0
18
Tuberculosis
1
19
Typhoid
0
20
Urinary Infection
2
21
Witchcraft
0
22
Other STD (specify)
0
23
Other illness (specify)
2
24
Other injury (specify)
0
30
1
31
1
99
Don’t know
2
Sysmiss
5
Illness respondent - Other
The individual who is the household head during the time of the interview.
What illness do you think [NAME] was suffering from? Other (specify).
All household members who died between round 2 and round 3
2
0
Symptoms had - 1
The individual who is the household head during the time of the interview.
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)
3
2
Diarrhea (chronic, 1 month or more)
4
3
Weight loss (major)
1
4
Fever (acute)
0
5
Fever (recurring)
1
6
Skin rash
0
7
Weakness
2
8
Severe headache
0
9
Fainting
1
10
Chills (feeling hot and cold)
0
11
Vomiting
1
12
Cough
1
13
Productive cough
0
14
Coughing blood
0
15
Pain on passing urine
0
16
Genital sores
0
17
Mental disorder
0
18
Abdominal pain
3
19
Sore throat
0
20
Difficulty breathing
1
21
Burn
0
22
Fracture
1
23
Wound
1
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
3
30
1
32
3
Sysmiss
5
Symptoms had - 2
The individual who is the household head during the time of the interview.
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)
0
2
Diarrhea (chronic, 1 month or more)
1
3
Weight loss (major)
1
4
Fever (acute)
1
5
Fever (recurring)
1
6
Skin rash
2
7
Weakness
3
8
Severe headache
3
9
Fainting
0
10
Chills (feeling hot and cold)
0
11
Vomiting
1
12
Cough
1
13
Productive cough
1
14
Coughing blood
0
15
Pain on passing urine
0
16
Genital sores
0
17
Mental disorder
0
18
Abdominal pain
1
19
Sore throat
0
20
Difficulty breathing
0
21
Burn
0
22
Fracture
0
23
Wound
1
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
3
30
1
31
1
32
3
Sysmiss
7
Symptoms had - 3
The individual who is the household head during the time of the interview.
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)
0
2
Diarrhea (chronic, 1 month or more)
0
3
Weight loss (major)
3
4
Fever (acute)
1
5
Fever (recurring)
1
6
Skin rash
1
7
Weakness
2
8
Severe headache
2
9
Fainting
0
10
Chills (feeling hot and cold)
0
11
Vomiting
0
12
Cough
1
13
Productive cough
0
14
Coughing blood
0
15
Pain on passing urine
0
16
Genital sores
0
17
Mental disorder
0
18
Abdominal pain
0
19
Sore throat
0
20
Difficulty breathing
2
21
Burn
0
22
Fracture
0
23
Wound
1
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
1
32
1
Sysmiss
16
Symptoms had - 4
The individual who is the household head during the time of the interview.
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)
0
2
Diarrhea (chronic, 1 month or more)
1
3
Weight loss (major)
0
4
Fever (acute)
2
5
Fever (recurring)
0
6
Skin rash
1
7
Weakness
2
8
Severe headache
1
9
Fainting
0
10
Chills (feeling hot and cold)
0
11
Vomiting
0
12
Cough
1
13
Productive cough
0
14
Coughing blood
0
15
Pain on passing urine
0
16
Genital sores
0
17
Mental disorder
0
18
Abdominal pain
0
19
Sore throat
0
20
Difficulty breathing
0
21
Burn
0
22
Fracture
0
23
Wound
0
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
0
Sysmiss
24
Symptoms had - 5
The individual who is the household head during the time of the interview.
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)
0
2
Diarrhea (chronic, 1 month or more)
0
3
Weight loss (major)
1
4
Fever (acute)
0
5
Fever (recurring)
0
6
Skin rash
0
7
Weakness
1
8
Severe headache
0
9
Fainting
0
10
Chills (feeling hot and cold)
0
11
Vomiting
1
12
Cough
0
13
Productive cough
0
14
Coughing blood
0
15
Pain on passing urine
0
16
Genital sores
0
17
Mental disorder
0
18
Abdominal pain
0
19
Sore throat
3
20
Difficulty breathing
0
21
Burn
0
22
Fracture
0
23
Wound
0
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
0
Sysmiss
26
Symptoms had - 5 (Other)
The individual who is the household head during the time of the interview.
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
0
Had diarrhea for a month or more
The individual who is the household head during the time of the interview.
Did [NAME] have diarrhoea for a month or more?
All household members who died between round 2 and round 3
18
14
1
Yes
0
2
No
17
8
1
Sysmiss
14
Continously lose weight
The individual who is the household head during the time of the interview.
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
9
2
No
12
Sysmiss
11
Had skin rush in six months before died
The individual who is the household head during the time of the interview.
All household members who died between round 2 and round 3
23
9
1
Yes
4
2
No
19
Sysmiss
9
Suffer from a persistent sore throat before died
The individual who is the household head during the time of the interview.
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
8
2
No
16
Sysmiss
8
Suffer from a fever in six months before died
The individual who is the household head during the time of the interview.
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
12
2
No
10
8
1
Sysmiss
9
How long suffered from illness before death - Amount
The individual who is the household head during the time of the interview.
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
The individual who is the household head during the time of the interview.
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
0
2
Hours
0
3
Days
5
4
Weeks
0
5
Months
9
6
Years
13
Sysmiss
5
Death occur in the past 12 months
The individual who is the household head during the time of the interview.
Interviewer: Did [NAME's] death occur in the past 12 months?
Go to 34 (mort34 - variable name in dataset).]]>
All household members who died between round 2 and round 3
27
5
1
Yes
19
2
No
8
Sysmiss
5
Amount HH spend on illness in 6 months prior to death
The individual who is the household head during the time of the interview.
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
0
500000
68525.526
151391.639
Sold any assets in order to pay for medical
The individual who is the household head during the time of the interview.
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
9
2
No
18
Sysmiss
5
HH received contributions from friends
The individual who is the household head during the time of the interview.
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
11
2
No
16
Sysmiss
5
Total amount received
The individual who is the household head during the time of the interview.
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
The individual who is the household head during the time of the interview.
All household members who died between round 2 and round 3
32
0
1
Lower
13
2
Higher
0
3
No change
18
4
N/A (never did farming)
1
What happened to rest of income-earning activities
The individual who is the household head during the time of the interview.
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
0
1
Lower
17
2
Higher
0
3
No change
15
Any relative work on a shamba to compensate
The individual who is the household head during the time of the interview.
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
0
1
Yes
5
2
No
27
3
N/A (household doesn’t do farming)
0
After death, any children came to stay
The individual who is the household head during the time of the interview.
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
0
1
Yes
5
2
No
27
How much was spent in total on funeral
The individual who is the household head during the time of the interview.
How much was spent in total on [NAME’s] funeral?
All household members who died between round 2 and round 3
32
0
700
150000
27430.781
28019.805
How much was spent by members of HH members
The individual who is the household head during the time of the interview.
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
0
300
100000
15901.563
19955.153
Membersof HH have to sell any assets
The individual who is the household head during the time of the interview.
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
0
1
Yes
10
2
No
22
Receive contributions from friends
The individual who is the household head during the time of the interview.
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
0
1
Yes
31
2
No
1
Total amount received from relatives
The individual who is the household head during the time of the interview.
What was the total amount received from all these friends and relatives?
All household members who died between round 2 and round 3
32
0
0
50000
10602.625
11535.015
Total amount received from organizations
The individual who is the household head during the time of the interview.
What was the total amount received from organizations and community groups?
All household members who died between round 2 and round 3
31
1
0
10000
1137.097
2717.105
Did lose assets or land due to inheritance
The individual who is the household head during the time of the interview.
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
0
1
Yes
2
2
No
30
Value of the land and assets lost
The individual who is the household head during the time of the interview.
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
6
0
Respondent ID
Respondent ID
6
0
Count
0
6
Name of deceased person
The household head during the time of the interview.
NAME of deceased person.
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
6
0
ID code of deceased person
The household head during the time of the interview.
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
0
Sex
The household head during the time of the interview.
Sex of [NAME]
Children (of any household member) who died between round 2 and round 3 while living elsewhere.
6
0
1
Male
4
2
Female
2
Relationship
The household head during the time of the interview.
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
0
Relationship - Other
The household head during the time of the interview.
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.
0
0
Age at death
The household head during the time of the interview.
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
0
25
39
29.833
5.115
Parents - Father ID
The household head during the time of the interview.
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
0
88
Not resident
98
Deceased
Parents - Mother ID
The household head during the time of the interview.
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
0
88
Not resident
98
Deceased
Where was residing at time of death
The household head during the time of the interview.
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
0
1
This village
2
2
This location
0
3
Kosirai Division
0
4
Nandi District (inc. Kapsabet)
0
5
Uasin-Gishu District (exc. Eldoret)
1
6
Eldoret
0
7
Kakamega
1
8
Kitale
0
9
Kisumu
0
10
Nakuru
0
11
Nairobi
0
12
Other urban area
1
13
Other rural area
0
14
Outside Kenya
1
Was older than 12 years
The household head during the time of the interview.
Interviewer: Was [NAME] older than 12 years at the time of death?
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
0
1
Yes
6
2
No
0
Was married at the time of death
The household head during the time of the interview.
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
0
1
Yes
3
2
No
3
Spouse live in Household
The household head during the time of the interview.
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
0
2
No
3
Sysmiss
3
ID code of spouse
The household head during the time of the interview.
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.
0
6
Had any children before died
The household head during the time of the interview.
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
0
1
Yes
1
2
No
5
ID code of children - 1
The household head during the time of the interview.
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
The household head during the time of the interview.
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
The household head during the time of the interview.
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.
0
6
ID code of children - 4
The household head during the time of the interview.
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.
0
6
Ever attend school
The household head during the time of the interview.
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
0
1
Yes
6
2
No
0
Highest grade - Level
The household head during the time of the interview.
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
0
1
Nursery
2
2
Primary
1
3
Secondary
1
4
Post-sec.
2
Highest grade - # of years
The household head during the time of the interview.
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
0
0
8
4.667
3.141
When died - Month
The household head during the time of the interview.
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
0
When died - Year
The household head during the time of the interview.
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
0
Cause of death
The household head during the time of the interview.
What was the cause of [NAME’s] death?
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
0
1
Illness
3
2
Traffic accident
0
3
Childbirth or complications
1
4
Homicide
0
5
Suicide
1
6
Other accident or injury
1
7
Other (specify)
0
Cause of death - Other
The household head during the time of the interview.
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.
0
0
Illness respondent think
The household head during the time of the interview.
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
1
2
Asthma
0
3
Bilharzia/ Shistosomiasis
0
4
Cancer
0
5
Diarrhea
0
6
Dysentry
0
7
Fracture/break
0
8
Gnorrhea
0
9
Intestinal Parisites
0
10
Malaria
0
11
Malnutrition (Kwashiorkor/Marasmus)
0
12
Measles
0
13
Meningitis
0
14
Poisoning
0
15
Polio
0
16
Syphilis
0
17
Tetanus
0
18
Tuberculosis
0
19
Typhoid
0
20
Urinary Infection
0
21
Witchcraft
0
22
Other STD (specify)
0
23
Other illness (specify)
2
24
Other injury (specify)
0
99
Don’t know
0
Sysmiss
3
Illness respondent - Other
The household head during the time of the interview.
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
0
Symptoms had - 1
The household head during the time of the interview.
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)
0
2
Diarrhea (chronic, 1 month or more)
0
3
Weight loss (major)
0
4
Fever (acute)
0
5
Fever (recurring)
0
6
Skin rash
0
7
Weakness
0
8
Severe headache
1
9
Fainting
0
10
Chills (feeling hot and cold)
0
11
Vomiting
0
12
Cough
0
13
Productive cough
0
14
Coughing blood
0
15
Pain on passing urine
0
16
Genital sores
0
17
Mental disorder
0
18
Abdominal pain
2
19
Sore throat
0
20
Difficulty breathing
0
21
Burn
0
22
Fracture
0
23
Wound
0
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
0
Sysmiss
3
Symptoms had - 2
The household head during the time of the interview.
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)
0
2
Diarrhea (chronic, 1 month or more)
0
3
Weight loss (major)
0
4
Fever (acute)
0
5
Fever (recurring)
0
6
Skin rash
0
7
Weakness
0
8
Severe headache
0
9
Fainting
0
10
Chills (feeling hot and cold)
0
11
Vomiting
1
12
Cough
0
13
Productive cough
0
14
Coughing blood
0
15
Pain on passing urine
1
16
Genital sores
0
17
Mental disorder
0
18
Abdominal pain
1
19
Sore throat
0
20
Difficulty breathing
0
21
Burn
0
22
Fracture
0
23
Wound
0
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
0
Sysmiss
3
Symptoms had - 3
The household head during the time of the interview.
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)
0
2
Diarrhea (chronic, 1 month or more)
0
3
Weight loss (major)
0
4
Fever (acute)
0
5
Fever (recurring)
0
6
Skin rash
0
7
Weakness
0
8
Severe headache
0
9
Fainting
0
10
Chills (feeling hot and cold)
0
11
Vomiting
0
12
Cough
0
13
Productive cough
0
14
Coughing blood
0
15
Pain on passing urine
0
16
Genital sores
0
17
Mental disorder
0
18
Abdominal pain
0
19
Sore throat
0
20
Difficulty breathing
1
21
Burn
0
22
Fracture
0
23
Wound
0
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
0
Sysmiss
5
Symptoms had - 4
The household head during the time of the interview.
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.
0
6
1
Diarrhea (acute)
0
2
Diarrhea (chronic, 1 month or more)
0
3
Weight loss (major)
0
4
Fever (acute)
0
5
Fever (recurring)
0
6
Skin rash
0
7
Weakness
0
8
Severe headache
0
9
Fainting
0
10
Chills (feeling hot and cold)
0
11
Vomiting
0
12
Cough
0
13
Productive cough
0
14
Coughing blood
0
15
Pain on passing urine
0
16
Genital sores
0
17
Mental disorder
0
18
Abdominal pain
0
19
Sore throat
0
20
Difficulty breathing
0
21
Burn
0
22
Fracture
0
23
Wound
0
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
0
Sysmiss
6
Symptoms had - 5
The household head during the time of the interview.
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.
0
6
1
Diarrhea (acute)
0
2
Diarrhea (chronic, 1 month or more)
0
3
Weight loss (major)
0
4
Fever (acute)
0
5
Fever (recurring)
0
6
Skin rash
0
7
Weakness
0
8
Severe headache
0
9
Fainting
0
10
Chills (feeling hot and cold)
0
11
Vomiting
0
12
Cough
0
13
Productive cough
0
14
Coughing blood
0
15
Pain on passing urine
0
16
Genital sores
0
17
Mental disorder
0
18
Abdominal pain
0
19
Sore throat
0
20
Difficulty breathing
0
21
Burn
0
22
Fracture
0
23
Wound
0
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
0
Sysmiss
6
Symptoms had - (Other)
The household head during the time of the interview.
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.
0
0
Death occur in the past 12 months
The household head during the time of the interview.
Interviewer: Did [NAME's] death occur in the past 12 months?
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
0
1
Yes
5
2
No
1
How much spend on illness
The household head during the time of the interview.
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
0
18000
8000
7874.008
How much was spend by HH members for funeral
The household head during the time of the interview.
How much was spent by members of your household for [NAME’s] funeral?
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
The household head during the time of the interview.
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
0
1
Yes
2
2
No
4
Household ID
Household ID
106
0
Respondent ID
Respondent ID
106
0
ID Code of Child
The household head during the time of the interview.
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
0
Deceased was mother or father
The household head during the time of the interview.
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
0
1
Father
41
2
Mother
63
9
2
What year did parent die
The household head during the time of the interview.
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
0
Did child join hh immediately after death
The household head during the time of the interview.
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
49
2
No
51
8
1
Sysmiss
5
How old was child at parent's death
The household head during the time of the interview.
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
0
99
47.564
28.174
Where was parent residing
The household head during the time of the interview.
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
19
2
This location
6
3
Kosirai Division
8
4
Nandi District (inc. Kapsabet)
24
5
Uasin-Gishu District (exc. Eldoret)
16
6
Eldoret
4
7
Kakamega
4
8
Kitale
0
9
Kisumu
1
10
Nakuru
2
11
Nairobi
2
12
Other urban area
2
13
Other rural area
5
14
Outside Kenya
0
33
2
41
2
98
1
99
2
Sysmiss
6
Did parent attend school
The household head during the time of the interview.
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
86
2
No
4
8
1
9
12
Sysmiss
3
Highest grade parent completed- Level
The household head during the time of the interview.
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
26
2
Primary
38
3
Secondary
13
4
Post-sec.
3
9
6
Sysmiss
20
Highest grade parent completed- Number of years
The household head during the time of the interview.
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
0
10
3.275
3.214
What kind of work
The household head during the time of the interview.
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
40
2
Animal farmer
2
3
Housewife
8
4
Trader/merchant/salesperson
1
5
Transport worker
7
6
Construction worker
0
7
Teacher/education professional
3
8
Health professional/TBA/trad. Healer
1
9
Secretary/clerical
0
10
Factory worker
0
11
Restaurant/bar/hotel
1
12
Skilled trades (carpenter, tailor, etc.)
4
13
Preacher/pastor
0
14
Village elder
0
15
Domestic worker
0
16
Civil Servant/Government
6
17
Other (specify)
6
41
Operating Kiosk/Duka
0
42
Trading (buying & selling) vegetables
7
43
Trading chickens, eggs, etc.
0
44
Trading clothes (mtumba)
1
45
Trading milk
2
46
Making local brew / beer
0
47
Boda-boda operator
0
82
5
88
No activity/unemployed
3
98
1
99
Don’t Know
5
Sysmiss
3
What kind of work- other
The household head during the time of the interview.
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
0
Cause of Parent's death
The household head during the time of the interview.
What was the cause of [NAME's] parent's death?
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
86
2
Traffic accident
3
3
Childbirth or complications
3
4
Homicide
4
5
Suicide
0
6
Other accident or injury
0
7
Other (specify)
1
8
1
9
5
Sysmiss
3
Cause of parent's death- other
The household head during the time of the interview.
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
0
What illness does respondent think
The household head during the time of the interview.
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
44
2
Asthma
1
3
Bilharzia/ Shistosomiasis
0
4
Cancer
4
5
Diarrhea
1
6
Dysentry
0
7
Fracture/break
0
8
Gnorrhea
0
9
Intestinal Parisites
0
10
Malaria
9
11
Malnutrition (Kwashiorkor/Marasmus)
0
12
Measles
0
13
Meningitis
0
14
Poisoning
0
15
Polio
0
16
Syphilis
0
17
Tetanus
0
18
Tuberculosis
5
19
Typhoid
2
20
Urinary Infection
0
21
Witchcraft
0
22
Other STD (specify)
0
23
Other illness (specify)
6
24
Other injury (specify)
0
30
Common cold
0
31
Pneumonia
0
32
Diabetes
0
98
5
99
Don’t know
17
Sysmiss
12
What illness does respondent think- other
The household head during the time of the interview.
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
0
Symptoms had - 1
The household head during the time of the interview.
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)
13
2
Diarrhea (chronic, 1 month or more)
6
3
Weight loss (major)
9
4
Fever (acute)
2
5
Fever (recurring)
0
6
Skin rash
5
7
Weakness
0
8
Severe headache
9
9
Fainting
0
10
Chills (feeling hot and cold)
0
11
Vomiting
0
12
Cough
4
13
Productive cough
3
14
Coughing blood
0
15
Pain on passing urine
0
16
Genital sores
0
17
Mental disorder
0
18
Abdominal pain
3
19
Sore throat
2
20
Difficulty breathing
2
21
Burn
0
22
Fracture
0
23
Wound
1
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
4
32
8
98
1
99
11
Sysmiss
23
Symptoms had - 2
The household head during the time of the interview.
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
2
Diarrhea (chronic, 1 month or more)
2
3
Weight loss (major)
10
4
Fever (acute)
0
5
Fever (recurring)
2
6
Skin rash
7
7
Weakness
6
8
Severe headache
3
9
Fainting
0
10
Chills (feeling hot and cold)
1
11
Vomiting
4
12
Cough
10
13
Productive cough
4
14
Coughing blood
1
15
Pain on passing urine
0
16
Genital sores
0
17
Mental disorder
0
18
Abdominal pain
3
19
Sore throat
2
20
Difficulty breathing
1
21
Burn
0
22
Fracture
0
23
Wound
0
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
3
30
1
31
2
32
3
99
4
Sysmiss
35
Symptoms had - 3
The household head during the time of the interview.
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)
0
2
Diarrhea (chronic, 1 month or more)
5
3
Weight loss (major)
6
4
Fever (acute)
3
5
Fever (recurring)
1
6
Skin rash
10
7
Weakness
5
8
Severe headache
7
9
Fainting
0
10
Chills (feeling hot and cold)
0
11
Vomiting
4
12
Cough
0
13
Productive cough
1
14
Coughing blood
0
15
Pain on passing urine
0
16
Genital sores
0
17
Mental disorder
0
18
Abdominal pain
2
19
Sore throat
3
20
Difficulty breathing
0
21
Burn
0
22
Fracture
0
23
Wound
0
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
3
32
3
Sysmiss
53
Symptoms had - 4
The household head during the time of the interview.
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)
3
2
Diarrhea (chronic, 1 month or more)
2
3
Weight loss (major)
8
4
Fever (acute)
1
5
Fever (recurring)
1
6
Skin rash
1
7
Weakness
3
8
Severe headache
0
9
Fainting
0
10
Chills (feeling hot and cold)
0
11
Vomiting
0
12
Cough
1
13
Productive cough
2
14
Coughing blood
2
15
Pain on passing urine
0
16
Genital sores
0
17
Mental disorder
0
18
Abdominal pain
1
19
Sore throat
0
20
Difficulty breathing
1
21
Burn
0
22
Fracture
0
23
Wound
0
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
2
32
3
Sysmiss
75
Symptoms had - 5
The household head during the time of the interview.
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)
1
2
Diarrhea (chronic, 1 month or more)
0
3
Weight loss (major)
4
4
Fever (acute)
0
5
Fever (recurring)
0
6
Skin rash
1
7
Weakness
0
8
Severe headache
0
9
Fainting
0
10
Chills (feeling hot and cold)
0
11
Vomiting
0
12
Cough
0
13
Productive cough
0
14
Coughing blood
0
15
Pain on passing urine
0
16
Genital sores
0
17
Mental disorder
0
18
Abdominal pain
0
19
Sore throat
0
20
Difficulty breathing
1
21
Burn
0
22
Fracture
0
23
Wound
0
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
0
32
1
Sysmiss
98
Symptoms had - (Other)
The household head during the time of the interview.
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
0
Does child have siblings outside hh
The household head during the time of the interview.
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
57
2
No
42
8
1
9
3
Sysmiss
3
Does child have a surviving parent
The household head during the time of the interview.
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
57
2
No
42
8
1
9
3
Sysmiss
3
Where does surviving parent live
The household head during the time of the interview.
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
3
2
This location
4
3
Kosirai Division
9
4
Nandi District (inc. Kapsabet)
12
5
Uasin-Gishu District (exc. Eldoret)
7
6
Eldoret
1
7
Kakamega
0
8
Kitale
1
9
Kisumu
1
10
Nakuru
0
11
Nairobi
0
12
Other urban area
2
13
Other rural area
0
14
Outside Kenya
0
81
This household
9
98
13
99
4
Sysmiss
40
Household ID
Household ID
395
0
Respondent ID
Respondent ID
395
0
ID Code of Child
The household head during the time of the interview.
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).
395
0
Living parent is mother or father
The household head during the time of the interview.
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).
395
0
1
Father
216
2
Mother
172
8
6
9
1
How old is parent now
The household head during the time of the interview.
How old is [NAME's] parent now?
All foster children in household (children defined as individuals below 16 at time of round 1 interview).
392
3
18
99
52.561
27.424
Where is parent residing
The household head during the time of the interview.
Where is [NAME's] parent residing now?
All foster children in household (children defined as individuals below 16 at time of round 1 interview).
392
3
1
This village
49
2
This location
47
3
Kosirai Division
50
4
Nandi District (inc. Kapsabet)
88
5
Uasin-Gishu District (exc. Eldoret)
59
6
Eldoret
15
7
Kakamega
1
8
Kitale
5
9
Kisumu
3
10
Nakuru
1
11
Nairobi
2
12
Other urban area
8
13
Other rural area
22
14
Outside Kenya
0
67
2
98
8
99
32
Sysmiss
3
Did parent attend school
The household head during the time of the interview.
Did [NAME's] parent ever attend school?
All foster children in household (children defined as individuals below 16 at time of round 1 interview).
394
1
1
Yes
319
2
No
14
3
3
8
10
9
48
Sysmiss
1
Highest grade parent completed- Level
The household head during the time of the interview.
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).
352
43
1
Nursery
79
2
Primary
115
3
Secondary
75
4
Post-sec.
13
8
11
9
59
Sysmiss
43
Highest grade parent completed- Number of years
The household head during the time of the interview.
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).
324
71
0
99
16.071
32.889
What kind of work
The household head during the time of the interview.
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).
393
2
1
Crop farmer
140
2
Animal farmer
28
3
Housewife
38
4
Trader/merchant/salesperson
8
5
Transport worker
6
6
Construction worker
2
7
Teacher/education professional
13
8
Health professional/TBA/trad. Healer
3
9
Secretary/clerical
1
10
Factory worker
0
11
Restaurant/bar/hotel
5
12
Skilled trades (carpenter, tailor, etc.)
20
13
Preacher/pastor
0
14
Village elder
0
15
Domestic worker
4
16
Civil Servant/Government
14
17
Other (specify)
5
41
Operating Kiosk/Duka
7
42
Trading (buying & selling) vegetables
9
43
Trading chickens, eggs, etc.
0
44
Trading clothes (mtumba)
2
45
Trading milk
2
46
Making local brew / beer
1
47
Boda-boda operator
0
81
3
82
17
88
No activity/unemployed
14
98
7
99
Don’t Know
44
Sysmiss
2
What kind of work- other
The household head during the time of the interview.
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
0
Household ID
1382
0
Respondent ID
1382
0
Housing characteristics module
1382
0
1
Yes
974
2
No
408
Household ID
Household ID
974
408
Respondent ID
Respondent ID
974
408
Day of interview
Date of Interview. Day.
974
408
Month of interview
Date of Interview. Month.
974
408
Year of interview
Date of Interview. Year.
974
408
Any new structures since Round 2
The household head.
Does your household own or rent any new or additional structures since [Round 2]?
Go to section II.]]>
974
408
1
Yes
217
2
No
757
Sysmiss
408
Count of new structures
217
1165
1
4
1.152
0.5
_merge representing housing2
1382
0
0
1165
1
217
Main source of drinking water
The household head.
974
408
1
Private Tap
68
2
Public Tap
38
3
Well on plot
436
4
Public well
56
5
Spring
267
6
Surface water (e.g. river, lake)
91
7
Rainwater
8
8
Other (specify)
10
Sysmiss
408
Main source of drinking water (Other)
The household head.
What is the main source of drinking water for members of this household? Other (specify).
10
0
Type of toilet facility
The household head.
What kind of toilet facility does your household use?
974
408
1
Traditional pit toilet
766
2
Ventilated improved pit latrine
167
3
Flush toilet
9
4
No facility/ bush/field
24
5
Other (specify)
8
Sysmiss
408
Type of toilet facility (Other)
The household head.
What kind of toilet facility does your household use? Other (specify).
7
0
In rainy season, is there any standing water
The household head.
In the RAINY SEASON, is there any standing water within 100 meters of your main dwelling?
974
408
1
Yes
210
2
No
764
Sysmiss
408
Main fuel used for cooking
The household head.
What is the main fuel used by the household for cooking?
974
408
1
Wood
883
2
Charcoal
78
3
Gas
5
4
Electricity
0
5
Kerosene
8
6
Other
0
Sysmiss
408
How long does it take to nearest tarmac road - Hours
The household head.
How long does it take you to walk from your home to the nearest tarmac road? Hours.
974
408
0
24
0.791
1.392
How long does it take to nearest tarmac road - Minutes
The household head.
How long does it take you to walk from your home to the nearest tarmac road? Minutes.
974
408
0
55
16.434
15.147
How long does it take to Mosoriot Health Ctr - Hours
The household head.
How long does it take you to travel to Mosoriot Rural Health Clinic under normal conditions? Hours.
974
408
0
6
0.99
1.007
How long does it take to Mosoriot Health Ctr - Minutes
The household head.
How long does it take you to travel to Mosoriot Rural Health Clinic under normal conditions? Minutes.
974
408
0
55
20.67
16.838
_merge representing housing3
1382
0
0
408
1
974
1382
0
1
408
3
974
Household ID
Household ID
250
0
Respondent ID
Respondent ID
250
0
Column number
Now I would like to ask you a few questions about each of these structures/dwellings.
0
250
ID code for structure
The household head.
ID code for each structure/ dwelling
Remember to ask about structures outside the compound
249
1
Ownership of structure
The household head.
What is the ownership status of this structure?
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
218
2
Owned by HH member and rented out
7
3
Rented in
17
4
Owned by relatives (no rent paid by the household)
6
5
Other (specify)
1
Sysmiss
1
Ownership of structure (Other)
The household head.
What is the ownership status of this structure? Other (specify).
1
0
Amount pay for rent per month
The household head.
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
The household head.
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
The household head.
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
The household head.
Is this structure within the compound or outside the compound?
248
2
1
Within
228
2
Outside
20
Sysmiss
2
Main purpose of the structure
The household head.
What is the main use or purpose of the structure?
Go to next structure.]]>
249
1
1
Household living arrangements
169
2
Cooking
43
3
Storage
22
4
Business
15
5
Servant’s quarter (if servant not part of HH)
0
6
other
0
Sysmiss
1
Main construction material of outside wall
The household head.
What is the main construction material of outside walls?
169
81
1
Mud
124
2
Wooden planks
8
3
Stone/brick/cement
35
4
Other (specify)
2
Sysmiss
81
Main construction material of outside wall (Other)
The household head.
What is the main construction material of outside walls? Other (specify).
2
0
Main floor material
The household head.
What is the main flooring material?
169
81
1
Natural floor: mud/dung/sand
115
2
Rudimentary floor: wood planks
0
3
Finished floor: polished wood, vinyl/tiles
1
4
Cement
53
5
Other (specify)
0
Sysmiss
81
Main floor material (Other)
The household head.
What is the main flooring material? Other (specify).
0
0
Main roofing material
The household head.
What is the main roofing material?
169
81
1
Grass/thatch
24
2
Corrugated iron (mabati)
141
3
Tiles
3
4
Other (specify)
1
Sysmiss
81
Main roofing material (Other)
The household head.
What is the main roofing material? Other (specify).
1
0
Most windows fitted with
The household head.
What are most windows fitted with?
169
81
1
Glass
73
2
Wood shutters
76
3
No cover
13
4
Other (specify)
1
5
No window
6
Sysmiss
81
Most windows fitted with (Other)
The household head.
What are most windows fitted with? Other (specify).
0
0
Number of room in structure
The household head.
How many rooms are in this structure?
169
81
1
7
2.302
1.051
Household ID
Household ID
1382
0
Respondent ID
Respondent ID
1382
0
Time & Risk module
1382
0
1
Yes
1379
2
No
3
Household ID
Household ID
1379
3
Respondent ID
Respondent ID
1379
3
Day of interview
Date of Interview. Day.
1379
3
Month of interview
Date of Interview. Month.
1379
3
Year of interview
Date of Interview. Year.
1379
3
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
255
2
No
1124
Sysmiss
3
1B. How often buy raffle ticket
How often do you buy lottery or raffle tickets?
254
1128
1
once every week
3
2
once every two weeks
2
3
once every month
12
4
once every two months or more
10
5
once every year
41
6
less than once a year
183
8
3
Sysmiss
1128
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
0
900
43.424
92.485
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
1112
2
Wait for a while before requesting the prize
267
Sysmiss
3
3A. Type of cow
If answer is 1 > Go to 4 (trp4a - variable name in dataset).
1379
3
1
Type 1
1303
2
Type 2
76
Sysmiss
3
3B. Type of cow
If answer is 2 > Go to 4 (trp4a - variable name in dataset).
76
1306
1
Type 1
30
2
Type 2
45
8
1
Sysmiss
1306
3C. Type of cow
If answer is 1 > Go to 4 (trp4a - variable name in dataset).
31
1351
1
Type 1
7
2
Type 2
23
8
1
Sysmiss
1351
3D. Type of cow
If answer is 2 > Go to 4 (trp4a - variable name in dataset).
24
1358
1
Type 1
7
2
Type 2
16
8
1
Sysmiss
1358
3E. Type of cow
If answer is 1 > Go to 4 (trp4a - variable name in dataset).
8
1374
1
Type 1
1
2
Type 2
6
8
1
Sysmiss
1374
3F. Type of cow
7
1375
1
Type 1
0
2
Type 2
6
8
1
Sysmiss
1375
3G. Respondent understand the question
INTERVIEWER: Did respondent understand the question?
1379
3
1
Yes
1379
2
No
0
Sysmiss
3
4A. Amount option
If answer is 1 > Go to 5 (trp5a - variable name in dataset).
1379
3
1
Option 1
1344
2
Option 2
35
Sysmiss
3
4B. Amount option
If answer is 2 > Go to 5 (trp5a - variable name in dataset).
35
1347
1
Option 1
25
2
Option 2
10
Sysmiss
1347
4C. Amount option
If answer is 1 > Go to 5 (trp5a - variable name in dataset).
25
1357
1
Option 1
14
2
Option 2
11
Sysmiss
1357
4D. Amount option
If answer is 2 > Go to 5 (trp5a - variable name in dataset).
11
1371
1
Option 1
6
2
Option 2
5
Sysmiss
1371
4E. Amount option
If answer is 1 > Go to 5 (trp5a - variable name in dataset).
6
1376
1
Option 1
4
2
Option 2
2
Sysmiss
1376
4F. Amount option
2
1380
1
Option 1
1
2
Option 2
1
Sysmiss
1380
4G. Respondent understand the question
INTERVIEWER: Did respondent understand the question?
1379
3
1
Yes
1376
2
No
1
8
2
Sysmiss
3
5A. Sometime not dependable
1379
3
1
Disagree
526
2
Disagree somewhat
97
3
Agree somewhat
410
4
Agree
346
Sysmiss
3
5B. Often have difficult organizing in advance
1379
3
1
Disagree
452
2
Disagree somewhat
66
3
Agree somewhat
330
4
Agree
531
Sysmiss
3
5C. Often feel that speek too quickly
1379
3
1
Disagree
587
2
Disagree somewhat
129
3
Agree somewhat
380
4
Agree
282
8
1
Sysmiss
3
6A. Amount opinion
If answer is 1 > Go to 7 (trp7a - variable name in dataset).
1379
3
1
Option 1
1264
2
Option 2
115
Sysmiss
3
6B. Amount opinion
If answer is 2 > Go to 7 (trp7a - variable name in dataset).
115
1267
1
Option 1
100
2
Option 2
15
Sysmiss
1267
6C. Amount opinion
If answer is 1 > Go to 7 (trp7a - variable name in dataset).
100
1282
1
Option 1
27
2
Option 2
73
Sysmiss
1282
6D. Amount opinion
If answer is 2 > Go to 7 (trp7a - variable name in dataset).
73
1309
1
Option 1
46
2
Option 2
27
Sysmiss
1309
6E. Amount opinion
If answer is 1 > Go to 7 (trp7a - variable name in dataset).
46
1336
1
Option 1
9
2
Option 2
37
Sysmiss
1336
6F. Amount opinion
37
1345
1
Option 1
14
2
Option 2
23
Sysmiss
1345
6G. Respondent understand the question
INTERVIEWER: Did respondent understand the question?
1379
3
1
Yes
1376
2
No
1
8
2
Sysmiss
3
7A. Choose between 1 & 2
1378
4
1
887
2
490
8
1
Sysmiss
4
7B. Choose between 3 & 4
1378
4
2
3
3
868
4
507
Sysmiss
4
7C. Choose one of the 4
1378
4
1
264
2
48
3
578
4
488
Sysmiss
4
INTERVIEWER: Did respondent understand the question?
1379
3
1
Yes
1283
2
No
91
8
5
Sysmiss
3
8A. Vouchers would like to use in year 1
1379
3
1
10
5.851
1.952
8B. What would be tempted to do
If answer is 3 > End.
1378
4
1
I would be strongly tempted to keep more vouchers for the second year than ideal
36
2
I would be somewhat tempted to keep more vouchers for the second year than ideal
9
3
I would have no temptation in either direction
977
4
I would be somewhat tempted to use more vouchers in the first year than ideal
190
5
I would be strongly tempted to use more vouchers in the first year than ideal
166
Sysmiss
4
8C. Vouchers would end up using in year 1
401
981
2
98
7.157
4.857
1382
0
1
3
3
1379
Youth Module
1382
0
1
Yes
320
2
No
1062
Household ID
Household ID
320
1062
Respondent ID
Respondent ID
320
1062
Day of interview
Date of Interview. Day.
320
1062
Month of interview
Date of Interview. Month.
320
1062
Year of interview
Date of Interview. Year.
320
1062
1. Sex
Sex of Respondent
320
1062
1
Male
175
2
Female
137
8
8
Sysmiss
1062
2. Age
What is your age?
318
1064
14
98
25.157
13.616
3. Month of birth
In what month and year were you born? Month.
317
1065
99
Don’t Know
3. Year of birth
In what month and year were you born? Year.
317
1065
99
Don’t Know
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
88
2
No
204
8
19
Sysmiss
1071
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
87
2
No
0
8
2
Sysmiss
1293
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
40
2
No
162
8
5
Sysmiss
1175
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
What was the main reason why you missed school?
259
1123
1
99
9.004
18.926
1
Own illness
30
2
Caring for a sick family member
3
3
Working
11
4
Insufficient funds
90
5
Fostered out
1
6
School was closed
5
7
Completed all my schooling
75
8
Other (specify)
33
8. Reasons why missed school (Other)
What was the main reason why you missed school? Other (specify).
32
0
9. Highest level of schooling plan to complete
What is the highest level of schooling you plan to complete?
292
1090
1
Nursery
8
2
Primary
52
3
Secondary
72
4
Post-secondary
159
8
1
Sysmiss
1090
10. Currently married or living with partner
Are you currently married or living with a partner?
Go to 13 (y13 - variable name in dataset).]]>
292
1090
1
Yes – legally married
5
2
Yes – living with partner
11
3
No – spouse died
0
4
No – separated
7
5
No – never married
269
Sysmiss
1090
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
16
2
No
260
Sysmiss
1106
12. Expect to get married in next 2 years
Do you expect to get married in the next two years?
260
1122
1
Yes
34
2
No
207
3
1
9
18
99
Don’t Know
0
Sysmiss
1122
13. Person who looks health have HIV virus
292
1090
1
Yes
256
2
No
31
9
5
99
Don’t Know
0
Sysmiss
1090
14. Know anyone who has died from AIDS
Since [round 1], has anyone known to you personally died from AIDS?
Go to 16 (y16 - variable name in dataset).]]>
292
1090
1
Yes
179
2
No
113
Sysmiss
1090
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
4
2
Relative in this Division
14
3
Relative elsewhere
8
4
Non-relative in this Division
138
5
Non-relative elsewhere
15
Sysmiss
1203
16. How many people have died from AIDS
How many people (in total) known to you personally have died from AIDS?
292
1090
0
20
4.13
2.76
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?
Go to 20 (y20 - variable name in dataset).]]>
292
1090
1
Yes
208
2
No
84
Sysmiss
1090
18. Relationship to this person
What was/is your relation to this person?
Go to 21 (y21- variable name in dataset).]]>
208
1174
1
Household member
6
2
Relative in this Division
29
3
Relative elsewhere
13
4
Non-relative in this Division
151
5
Non-relative elsewhere
9
Sysmiss
1174
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
200
2
Remained sick
2
3
Got more sick
1
4
Too early to tell
1
5
Died
3
9
1
99
Don’t Know
0
Sysmiss
1174
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
249
2
Available, but not for everyone who needs it
17
3
Not available at all
2
8
3
9
21
99
Don’t know
0
Sysmiss
1090
21. Have been tested for HIV since Round 2
If answer is 2 > Go to 29 (y29 - variable name in dataset).
292
1090
1
Yes
32
2
No
260
Sysmiss
1090
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
When did you get tested for HIV? Year.
*Record most recent testing date.
32
1350
23. Where got tested
Where did you get tested for HIV?
32
1350
1
Mosoriot Health Center
20
2
Turbo Health Center
0
3
Burnt Forest Health Center
0
4
Eldoret
2
5
Kapsabet
5
6
Kisumu
0
7
Other (specify)
5
99
Don’t know
0
Sysmiss
1350
23. Where got tested (Other)
Where did you get tested for HIV? Other (specify).
5
0
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
19
2
Antenatal clinic
11
3
Other (specify)
2
4
Won’t say
0
Sysmiss
1350
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
0
25. Main reason went for an HIV test
21
1361
1
HIV-Positive
0
2
HIV-Negative
0
3
Won’t say
1
4
Have not received results yet
0
6
7
7
1
8
12
Sysmiss
1361
25. Main reason went for an HIV test (Other)
12
0
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
2
HIV-Negative
29
3
Won’t say
1
4
Have not received results yet
0
Sysmiss
1350
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
10
2
Father
2
3
Mother
7
4
Sister/brother
0
5
Other relative in household
1
6
Other relative elsewhere
1
7
Friend
7
8
Other (specify)
0
98
1
Sysmiss
1353
27. Who informed about the status (Other)
Who have you informed about your status? Other (specify).
* list the 3 people that were informed first
0
0
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
2
Father
0
3
Mother
2
4
Sister/brother
5
5
Other relative in household
1
6
Other relative elsewhere
1
7
Friend
4
8
Other (specify)
0
Sysmiss
1367
27. Who informed about the status (Other)
Who have you informed about your status? Other (specify).
* list the 3 people that were informed first
0
0
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
1
2
Father
0
3
Mother
0
4
Sister/brother
5
5
Other relative in household
0
6
Other relative elsewhere
1
7
Friend
2
8
Other (specify)
0
Sysmiss
1373
27. Who informed about the status (Other)
Who have you informed about your status? Other (specify).
* list the 3 people that were informed first
0
0
28. Informed any other people about the status
Have you informed any other people about your status?
32
1350
1
Yes
2
2
No
30
Sysmiss
1350
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
21
2
Moderate
7
3
Low
174
4
No risk at all
90
Sysmiss
1090
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
0
100
17.918
24.559
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
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
0
98
4.293
13.36
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
166
2
No
81
8
1
Sysmiss
1134
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
0
98
1.784
7.506
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
100
2
No
65
3
N/A
1
8
1
Sysmiss
1215
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
27
2
No
10
3
N/A
128
8
2
Sysmiss
1215
34. How often use condoms when having sex
How often do you use condoms when having sex?
248
1134
1
Always
98
2
Almost Always
46
3
Very Seldom
72
4
Never
32
Sysmiss
1134
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
17
2
No
182
3
N/A
17
8
1
9
31
Sysmiss
1134
36. Have had any technical training
Have you had any technical or professional training?
292
1090
1
Technical
17
2
Professional
21
3
On-the-job
10
4
No
244
Sysmiss
1090
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
108
2
No
184
Sysmiss
1090
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
0
18000
2234.418
2396.042
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
148
2
No
144
Sysmiss
1090
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
During the past 6 months, what has been you main nonschooling activity?
Go to 44 (y44 - variable name in dataset).]]>
292
1090
1
Farming
88
2
Wage/Salaried Employment
82
3
Non-farm Self-Employment
38
4
Unemployed/did not work
84
Sysmiss
1090
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
0
15000
1467.067
2045.476
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
15
2
About the same
112
3
Less
79
8
1
Sysmiss
1175
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
147
2
No
144
3
1
8
1
Sysmiss
1089