The Economic Impact of AIDS Treatment: Labor Supply in Western Kenya
Not Assigned
HIV
DDI-KEN-WB-GEHDS-2005-v01
World Bank, Development Impact Evaluation (DIME) Initiative
Akiko Sagesaka
2010-05-07
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 2) 2005
GEHDS 2005
KEN-WB-GEHDS-2005-v01
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 2, 2005. Ref. KEN_2005_GEHDS_v01_M. Dataset downloaded from www.microdata.worldbank.org on [date].
identification.NSDstat
The file contains data related to cover sheet of the household survey.
1712
27
Nesstar 200801
Version 1.0, converted from wide to long format.
hhroster_1.NSDstat
364
19
Nesstar 200801
Version 1.0, converted from wide to long format.
hhroster_2.NSDstat
375
20
Nesstar 200801
Version 1.0, converted from wide to long format.
hhr_correction.NSDstat
357
19
Nesstar 200801
Version 1.0, converted from wide to long format.
iroster.NSDstat
The file contains data related to "Permanent individual roster".
9050
19
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).
2744
31
Nesstar 200801
Version 1.0, converted from wide to long format.
educexp.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).
3127
44
Nesstar 200801
Version 1.0, converted from wide to long format.
health.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.
6457
107
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.
1144
14
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).
1654
20
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).
22880
19
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).
161
19
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).
6
19
Nesstar 200801
Version 1.0, converted from wide to long format.
food.NSDstat
The file contains data related to "Food consumption and expenditures".
56007
23
Nesstar 200801
Version 1.0, converted from wide to long format.
othexp.NSDstat
The file contains data related to "Other household expenses".
45211
11
Nesstar 200801
Version 1.0, converted from wide to long format.
assets.NSDstat
The file contains data related to "Assets" (Land, Livestock, Large farm equipment, Durable goods, and Vehicles), except for questions 8-11 and 17-24 in part I, questions 5-9 and 11-14 in part II, questions 7-11 and 13-16 in part IV, questions 6-10 and 12-15 in part VI.
1139
25
Nesstar 200801
Version 1.0, converted from wide to long format.
assets_I8.NSDstat
The file contains data related to questions 8-11 in part I of "Assets" (Land sales).
52
20
Nesstar 200801
Version 1.0, converted from wide to long format.
assets_I17.NSDstat
The file contains data related to questions 17-24 in part I of "Assets" (Land purchases/acquisitions).
82
26
Nesstar 200801
Version 1.0, converted from wide to long format.
assets_II5.NSDstat
The file contains data related to questions 5-9 in part II of "Assets" (Livestock sales and gifts).
530
24
Nesstar 200801
Version 1.0, converted from wide to long format.
assets_II11.NSDstat
The file contains data related to questions 11-14 in part II of "Assets" (Livestock pruchases/acquisitions).
690
23
Nesstar 200801
Version 1.0, converted from wide to long format.
assets_IV7.NSDstat
The file contains data related to questions 7-11 in part IV of "Assets" (Large equipment sales and gifts).
4
23
Nesstar 200801
Version 1.0, converted from wide to long format.
assets_IV13.NSDstat
The file contains data related to questions 13-16 in part IV of "Assets" (Large equipment purchases/acquisitions).
14
23
Nesstar 200801
Version 1.0, converted from wide to long format.
assets_V.NSDstat
The file contains data related to part V of "Assets" (Durable goods).
11390
12
Nesstar 200801
Version 1.0, converted from wide to long format.
assets_VI5.NSDstat
The file contains data related to questions 6-10 in part VI of "Assets" (Vehicle sale and gifts).
30
23
Nesstar 200801
Version 1.0, converted from wide to long format.
assets_VI12.NSDstat
The file contains data related to questions 12-15 in part VI of "Assets" (Vehicle purchases/acuisitions).
78
23
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, and Non-labor income).
5250
113
Nesstar 200801
Version 1.0, converted from wide to long format.
ag_a.NSDstat
The file contains data related to section A of "Agricultural activities" (Crop outputs since beginning of this year).
5590
21
Nesstar 200801
Version 1.0, converted from wide to long format.
ag_b.NSDstat
The file contains data related to section B of Agricultural activities" (Sales of major crops).
2910
37
Nesstar 200801
Version 1.0, converted from wide to long format.
ag_c.NSDstat
The file contains data related to section C of "Agricultural activities" (Farm inputs).
10185
9
Nesstar 200801
Version 1.0, converted from wide to long format.
ag_d.NSDstat
The file contains data related to section D of "Agricultural activities" (Other agricultural information).
1719
16
Nesstar 200801
Version 1.0, converted from wide to long format.
shocks.NSDstat
The file contains data related to "Unexpected events" (Farm events, Home events, and Employment events), except for questions 3-5, 7-9, 11-13, 15-17, 19-21, 24-25 in section A, questions 30-31, 33-34, 40-42 in section B, and. questions 45-47, 49-50 and 53-55 in section C.
1145
35
Nesstar 200801
Version 1.0, converted from wide to long format.
shocks_a3.NSDstat
The file contains data related to questions 3-5 in section A of "Unexpected events"(Farm events).
593
17
Nesstar 200801
Version 1.0, converted from wide to long format.
shocks_a7.NSDstat
The file contains data related to questions 7-9 in section A of "Unexpected events" (Farm events).
189
15
Nesstar 200801
Version 1.0, converted from wide to long format.
shocks_a11.NSDstat
The file contains data related to questions 11-13 in section A of "Unexpected events" (Farm events).
38
14
Nesstar 200801
Version 1.0, converted from wide to long format.
shocks_a15.NSDstat
The file contains data related to questions 15-17 in section A of "Unexpected events" (Farm events).
7
15
Nesstar 200801
Version 1.0, converted from wide to long format.
shocks_a19.NSDstat
The file contains data related to questions 19-21 in section A of "Unexpected events"(Farm events).
40
15
Nesstar 200801
Version 1.0, converted from wide to long format.
shocks_a24.NSDstat
The file contains data related to questions 24-25 in section A of "Unexpected events"(Farm events).
444
13
Nesstar 200801
Version 1.0, converted from wide to long format.
shocks_b30.NSDstat
The file contains data related to questions 30-31 in section B of "Unexpected events" (Home events).
107
13
Nesstar 200801
Version 1.0, converted from wide to long format.
shocks_b33.NSDstat
The file contains data related to questions 33-34 in section B of "Unexpected events" (Home events).
9
13
Nesstar 200801
Version 1.0, converted from wide to long format.
shocks_b40.NSDstat
The file contains data related to questions 40-42 in section B of "Unexpected events" (Home events).
141
15
Nesstar 200801
Version 1.0, converted from wide to long format.
shocks_c45.NSDstat
The file contains data related to questions 45-47 in section C of "Unexpected events" of the household survey questionnaire (Employment events).
84
15
Nesstar 200801
Version 1.0, converted from wide to long format.
shocks_c49.NSDstat
The file contains data related to questions 49-50 in section C of "Unexpected events" (Employment events).
43
13
Nesstar 200801
Version 1.0, converted from wide to long format.
shocks_c53.NSDstat
The file contains data related to questions 53-55 in section C of "Unexpected events" (Employment events).
316
15
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 2-5, 7-12, 14-17 and 19-24 in section D.
1561
59
Nesstar 200801
Version 1.0, converted from wide to long format.
transfers_a2.NSDstat
The file contains data related to questions 2-8 in section A of "Transfers and credit" (Transfers and credit received).
2434
19
Nesstar 200801
Version 1.0, converted from wide to long format.
transfers_a10.NSDstat
226
14
Nesstar 200801
Version 1.0, converted from wide to long format.
transfers_b2.NSDstat
1525
19
Nesstar 200801
Version 1.0, converted from wide to long format.
transfers_d2.NSDstat
The file contains data related to questions 2-5 in section D of "Transfers and credit" (Within household transfers).
643
18
Nesstar 200801
Version 1.0, converted from wide to long format.
transfers_d7.NSDstat
The file contains data related to questions 14-17 in section D of "Transfers and credit" (Within household transfers).
863
20
Nesstar 200801
Version 1.0, converted from wide to long format.
transfers_d14.NSDstat
The file contains data related to questions 14-17 in section D of "Transfers and credit" (Within household transfers).
639
18
Nesstar 200801
Version 1.0, converted from wide to long format.
transfers_d19.NSDstat
The file contains data related to questions 19-24 in section D of "Transfers and credit" (Within household transfers).
823
20
Nesstar 200801
Version 1.0, converted from wide to long format.
behavior.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.
1559
56
Nesstar 200801
Version 1.0, converted from wide to long format.
behavior_c4.NSDstat
The file contains data related to questions 4-12 in section C of "Knowledge and behavior" (Sexual history & behavior).
1011
20
Nesstar 200801
Version 1.0, converted from wide to long format.
anthrop_a.NSDstat
The file contains data related to section A of "Anthropometrics" (Child height and weight).
663
20
Nesstar 200801
Version 1.0, converted from wide to long format.
anthrop_b.NSDstat
The file contains data related to section B of "Anthropometrics" (Child vaccinations).
719
50
Nesstar 200801
Version 1.0, converted from wide to long format.
anthrop_c.NSDstat
The file contains data related to section C of "Anthropometrics" (Growth history).
954
13
Nesstar 200801
Version 1.0, converted from wide to long format.
marriage.NSDstat
The file contains data related to section A of "Marriage" (Biological parents' marital history).
1606
16
Nesstar 200801
Version 1.0, converted from wide to long format.
marriage_b.NSDstat
The file contains data related to section B of "Marriage" (Current marriages).
1116
39
Nesstar 200801
Version 1.0, converted from wide to long format.
marriage_c.NSDstat
The file contains data related to section C of "Marriage" (Previous marriages).
390
26
Nesstar 200801
Version 1.0, converted from wide to long format.
famback.NSDstat
The file contains data related to "Family background" (Personal and family characteristics, Parental characteristics, Fosterage, Land inheritances, received or anticipated, and Other inheritances, received or anticipated), except for questions 1-8 and 10-14 in part II, questions 2-7 in part III, questions 2-6 in part IV, and questions 2-7 in part V.
1606
32
Nesstar 200801
Version 1.0, converted from wide to long format.
famback_II.NSDstat
The file contains data related to questions 1-8 and 10-14 in part II of "Family background" (Parental characteristics).
3212
28
Nesstar 200801
Version 1.0, converted from wide to long format.
famback_III.NSDstat
The file contains data related to questions 2-7 in part III of "Family background" (Fosterage).
448
17
Nesstar 200801
Version 1.0, converted from wide to long format.
famback_IV.NSDstat
The file contains data related to questions 2-6 in part IV of "Family background" (Land inheritances, received or anticipated).
822
15
Nesstar 200801
Version 1.0, converted from wide to long format.
famback_V.NSDstat
The file contains data related to questions 2-7 in part V of "Family background" (Other inheritances, received or anticipated).
571
15
Nesstar 200801
Version 1.0, converted from wide to long format.
mortality.NSDstat
The file contains data related to section A of "Mortality" (Mortality of previous household members).
283
79
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).
29
45
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.
1142
15
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).
3404
24
Nesstar 200801
Version 1.0, converted from wide to long format.
timerisk.NSDstat
The file contains data related to "Time and risk preferences".
1530
41
Nesstar 200801
Version 1.0, converted from wide to long format.
networks.NSDstat
The file contains data related to section A, B and C of "Network" (General health discussions, Discussions about Malaria, and Discussions about HIV/AIDS), except for questions 1-9 in section A, questions 1-10 in section B, and questions 1-10 in section C.
1561
16
Nesstar 200801
Version 1.0, converted from wide to long format.
networks_a.NSDstat
The file contains data related to questions 1-9 in section A of "Network" (General health discussions).
2535
22
Nesstar 200801
Version 1.0, converted from wide to long format.
networks_b.NSDstat
The file contains data related to questions 1-10 in section B of "Network" (Discussions about Malaria).
2418
28
Nesstar 200801
Version 1.0, converted from wide to long format.
networks_c.NSDstat
The file contains data related to questions 1-8 in section C of "Network" (Discussions about HIV/AIDS).
3927
19
Nesstar 200801
Version 1.0, converted from wide to long format.
networks_c9.NSDstat
The file contains data related to questions 9 in section C of "Network" (Discussions about HIV/AIDS).
10927
9
Nesstar 200801
Version 1.0, converted from wide to long format.
networks_c10.NSDstat
The file contains data related to questions 10 in section C of "Network" (Discussions about HIV/AIDS).
7805
9
Nesstar 200801
Version 1.0, converted from wide to long format.
networks_d.NSDstat
The file contains data related to section D of "Network" (Interactions in the past 10 years).
11046
13
Nesstar 200801
Version 1.0, converted from wide to long format.
networks_e.NSDstat
The file contains data related to section E of "Network" (Within network connections).
31220
27
Nesstar 200801
Version 1.0, converted from wide to long format.
youth.NSDstat
The file contains data related to "Youth".
393
64
Nesstar 200801
Version 1.0, converted from wide to long format.
Household ID
Household ID Number
1712
0
Household identification
Respondent ID
Respondent ID Number
1712
0
Household identification
Round
1712
0
2
1712
District
District
1696
16
Household identification
1
Nandi
2
Uasin Gishu
District (other)
District. Other.
270
1442
Division
Division
1712
0
Household identification
Location
Location
1710
2
Household identification
Sublocation
Sublocation
1708
4
Household identification
Village
Village
1709
3
Household identification
Respondent Name
Respondent Name
1709
0
Household identification
Household moved
Has household moved?
1704
8
1
Yes
42
2
No
1332
8
330
Sysmiss
8
Length of interview - Hours
Interview Length. Hours.
1703
9
0
98
13.241
30.404
Length of interview -Minutes
Interview Length. Minutes.
1703
9
0
98
33.287
28.426
Latitude(1)
GPS reference.
Complete if missing from first round.
Latitude.
544
1168
Geographical coordinates of household
88
Interview completed at clinic
Latitude(2)
GPS reference.
Complete if missing from first round.
Latitude.
103
1609
Geographical coordinates of household
88
Interview completed at clinic
Latitude(3)
GPS reference.
Complete if missing from first round.
Latitude.
103
1609
Geographical coordinates of household
88
Interview completed at clinic
Longitude(1)
GPS reference.
Complete if missing from first round.
Longitude.
543
1169
Geographical coordinates of household
88
Interview completed at clinic
Longitude(2)
GPS reference.
Complete if missing from first round.
Longitude.
103
1609
Geographical coordinates of household
88
Interview completed at clinic
Longitude(3)
GPS reference.
Complete if missing from first round.
Longitude.
103
1609
Geographical coordinates of household
88
Interview completed at clinic
Day of interview
Date (DD/MM/YYYY). Day.
1712
0
Interviewer visits
Month of interview
Date (DD/MM/YYYY). Month.
1712
0
Interviewer visits
Year of interview
Date (DD/MM/YYYY). Year.
1712
0
Interviewer visits
Interviewer number
Interviewer's Code
1712
0
Interviewer visits
Household result
Result Code
1712
0
Interviewer visits
1
Completed
1571
2
Designated Respondent not Present
38
3
No Household Member/Competent Respondent at Home
1
4
Entire Household Absent for Extended Period of Time
1
5
Postponed
0
6
Refused
13
7
Dwelling Vacant
5
8
Dwelling Not Found
1
9
Other (specify)
82
Main language of intwerview
Main Language of Interview
1616
96
Interviewer visits
1
Kiswahili
1144
2
Nandi
389
3
English
18
4
Other (specify)
22
8
43
Sysmiss
96
Supervisor
Supervisor Code
1706
6
Data entry clerk
Data Entry Code
1712
0
Household ID
Household ID
364
0
Household members are defined as people who reside together and take their meals together for at least 3 of the past 12 months. The only people you should include who have been there for less than 3 months are infants, people who spend most of the year in an institution (for example students, soldiers, prisoners) and newly added spouses. The head is always a member. (Deceased members should not be included here, there is a separate section of the survey for them).
Respondent ID
ID Code of Respondent
364
0
Line number
4
360
ID code
ID Code
364
0
Name of household member
The primary female respondent.
NAME of individual
364
0
Sex
The primary female respondent.
Sex of [NAME]
364
0
1
Male
143
2
Female
221
Relationship to household head
The primary female respondent.
Relationship of [NAME] to Head
363
0
RELATIONSHIP CODES (for in-laws, add “A” -- e.g. son in-law is 3A)
Relationship to household head (recoded)
The primary female respondent.
Relationship of [NAME] to Head
363
1
1
1201
57.38
192.612
1
Self
2
2
Spouse
8
3
Son
52
4
Daughter
57
5
Father
0
6
Mother
11
7
Grandson
33
8
Granddaughter
35
9
Grandfather
0
10
Grandmother
2
11
Brother
6
12
Sister
2
13
Uncle
0
14
Aunt
1
15
Co-wife
0
16
Cousin
5
17
Niece
40
18
Nephew
12
19
Stepchild
2
20
Foster child
7
30
Local Friend/Neighbor
1
31
Non-resident Friend
0
32
Village head
0
33
Lineage head
0
34
Househelper
17
35
Employee
31
36
Employer
0
37
Landlord
0
38
Tenant/Renter
0
39
Priest
0
40
Trader
0
41
Other (specify)
16
99
Don’t Know
0
301
Son-in-law
0
401
Daughter-in-law
13
501
Father-in-law
0
601
Mother-in-law
1
901
Grandfather-in-law
0
1001
Grandmother-in-law
0
1101
Brother-in-law
4
1201
Sister-in-law
5
This variable is obtained by destringing qh04. For in-laws, "A" is recoded as "01"-- e.g. son in-law is 301, where it is 3A in qh04.
Relationship (Other)
The primary female respondent.
Relationship of [NAME] to Head. Other (specify).
16
0
Month of birth
The primary female respondent.
Date of Birth. Month.
361
3
1
99
47.338
45.712
1
15
2
6
3
8
4
14
5
16
6
22
7
28
8
32
9
22
10
17
11
12
12
10
98
43
99
116
Sysmiss
3
Year of birth
The primary female respondent.
Date of Birth. Year.
361
3
98
2005
1983.997
100.908
98
1
1916
1
1917
1
1922
4
1924
2
1925
1
1932
2
1943
2
1945
1
1954
2
1955
2
1961
1
1962
1
1966
2
1967
2
1970
3
1971
1
1973
4
1974
7
1975
2
1976
4
1977
3
1978
7
1979
9
1980
10
1981
5
1982
4
1983
6
1984
10
1985
13
1986
8
1987
11
1988
12
1989
20
1990
11
1991
7
1992
9
1993
5
1994
10
1995
8
1996
8
1997
12
1998
11
1999
3
2000
5
2002
7
2003
7
2004
93
2005
1
Sysmiss
3
Age - Years
The primary female respondent.
Current Age. Years.
362
2
0
88
14.738
16.51
Age - Months
The primary female respondent.
Current Age. Months.
116
248
0
99
9.138
22.786
Marital status
The primary female respondent.
If age<12 > Go to 10.
Current Marital Status.
If answer is 3,4,5 or 6 > Go to 10 (qh10 - variable name in dataset).
188
176
1
Married
24
2
Cohabitating
15
3
Divorced
0
4
Separated
13
5
Widowed
9
6
Never married
126
8
1
Sysmiss
176
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).
40
324
1
Yes
29
2
No
10
8
1
Sysmiss
324
Code of partner
The primary female respondent.
ID Code of partner
30
334
Months away in past 6 months
The primary female respondent.
How many months was NAME away in last 6 months?
354
10
0
8
2.288
2.074
Code of father
The primary female respondent.
ID Code of biological father
363
1
88
Not resident
98
Deceased
Code of mother
The primary female respondent.
ID Code of biological mother
363
1
88
Not resident
98
Deceased
Household ID
Household ID
375
0
Household members are defined as people who reside together and take their meals together for at least 3 of the past 12 months. The only people you should include who have been there for less than 3 months are infants, people who spend most of the year in an institution (for example students, soldiers, prisoners) and newly added spouses. The head is always a member. (Deceased members should not be included here, there is a separate section of the survey for them).
Respondent ID
ID Code of Respondent
375
0
HH members listed in R1 moved away
375
0
1
Yes
349
2
No
20
8
Missing
6
HH members listed in R1 no longer alive
375
0
1
Yes
42
2
No
333
8
Missing
0
Members moved away or deceased
375
0
1
162
2
102
3
60
4
24
6
6
7
21
Line number
2
373
ID code
ID Code
375
0
Name
The primary female respondent.
NAME
372
0
Why no longer a member
The primary female respondent.
Why is [NAME] no longer a member of this household?
If asnwer is 2 > Go to 8 (hh8 - variable name in dataset).
375
0
1
Dead
34
2
Moved away
341
Month member died
The primary female respondent.
32
343
Cause of death
The primary female respondent.
What was the cause of [NAME's] death?
If answer is 2, 3, 4, 5, 6, or 7 > Go to next ID.
33
342
1
Illness
28
2
Traffic accident
0
3
Childbirth or complications
0
4
Homicide
0
5
Suicide
1
6
Other accident or injury
0
7
Other (specify)
3
8
1
Sysmiss
342
Cause of death (Other)
The primary female respondent.
What was the cause of [NAME's] death? Other (specify).
3
0
Illness that was suffering from
The primary female respondent.
What was the illness that [NAME] was suffering from?
Go to next ID.
29
346
1
99
18.345
29.722
1
HIV/AIDS
16
2
Asthma
0
3
Bilharzia/ Shistosomiasis
0
4
Cancer
1
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)
8
24
Other injury (specify)
0
98
Refuse to say
1
99
Don’t know
2
Illness that was suffering
The primary female respondent.
What was the illness that [NAME] was suffering from? Other (specify).
8
0
Currently in school
The primary female respondent.
Is [NAME] currently in school?
346
29
1
Yes
112
2
No
220
8
14
Sysmiss
29
Where living
The primary female respondent.
Where is [NAME] living?
345
30
1
99
5.157
10.628
1
This village
85
2
This location
49
3
Kosirai Division
26
4
Nandi District (inc. Kapsabet)
71
5
Uasin-Gishu District (exc. Eldoret)
50
6
Eldoret
16
7
Kakamega
3
8
Kitale
7
9
Kisumu
1
10
Nakuru
0
11
Nairobi
7
12
Other urban area
7
13
Other rural area
19
14
Outside Kenya
0
Current employment status
The primary female respondent.
What is [NAME's] current employment status?
348
27
0
Not working
214
1
Houseboy/girl
16
2
Working for governmen
4
3
Working for private firm /small business
30
4
Self employed in business
20
5
Farmer
39
7
Other (specify)
5
8
13
9
7
Sysmiss
27
Current employment (Other)
The primary female respondent.
What is [NAME's] current employment status? Other (specify).
5
0
Why living elsewhere
The primary female respondent.
Why is [NAME] living elsewhere?
350
25
1
98
8.2
14.027
1
Schooling
33
2
Married
52
3
For medical care
0
4
Others better able to care
5
5
Parents too sick to care
3
6
Living with parent with custody
53
7
Living with grandparents
25
8
Other (specify)
118
9
Working
53
98
8
Sysmiss
25
Why living elsewhere (Other)
The primary female respondent.
Why is [NAME] living elsewhere? Other (specify).
118
0
Module done
357
0
1
Yes
357
2
No
0
Household ID
Household ID
357
0
Household members are defined as people who reside together and take their meals together for at least 3 of the past 12 months. The only people you should include who have been there for less than 3 months are infants, people who spend most of the year in an institution (for example students, soldiers, prisoners) and newly added spouses. The head is always a member. (Deceased members should not be included here, there is a separate section of the survey for them).
Respondent ID
ID Code of Respondent
357
0
Members count
357
0
1
5
1.868
0.916
Line number
2
355
ID Code
ID Code
357
0
2. Name
NAME
350
0
3. Sex
Sex of [NAME]
83
274
1
Male
35
2
Female
48
Sysmiss
274
4. Relationship
Relationship of [NAME] to Head.
45
0
Relationship - Other
2
0
5A. Month of birth
Date of Birth. Month.
41
316
5B. Year of birth
Date of Birth. Year.
45
312
6A. Age - Years
Current Age. Years.
44
313
0
97
34.386
23.377
6B. Age - Months
Current Age. Months (if age less than 5 yrs.)
5
352
6
8
6.8
0.837
7. Marital status
If age<12 > Go to 10.
Current Marital Status.
If answer is 3,4,5 or 6 > Go to 10 (qh10 - variable name in dataset).
136
221
1
Married
2
2
Cohabitating
119
3
Divorced
0
4
Separated
6
5
Widowed
2
6
Never married
7
Sysmiss
221
8. Partner lives in household
Partner of [NAME] lives in household?
If answer is 2 > Go to 10 (qh10 - variable name in dataset).
1
356
1
Yes
1
2
No
0
Sysmiss
356
9. Code of partner
ID Code of partner
1
356
11. ID of father
ID Code of biological father
116
241
12. Id of mother
ID Code of biological mother
75
282
Individual roster done
9050
0
1
Yes
9050
2
No
0
Household ID
Household ID
9050
0
Respondent ID
Respondent ID
9050
0
Respondent name
Respondent Name
8975
0
IRID members
9050
0
1
27
6.666
2.351
Line number
35
9015
IRID code
IRID Code
9050
0
Name of individual
Name of Individual
9050
0
Gender
Gender
9049
1
1
Male
4115
2
Female
4934
Sysmiss
1
Occupation
What is this person’s occupation?
9049
1
1
99
7.229
16.428
1
Crop farmer
3951
2
Animal farmer
702
3
Housewife
868
4
Trader/merchant/salesperson
971
5
Transport worker
200
6
Construction worker
50
7
Teacher/education professional
526
8
Health professional/TBA/trad. Healer
278
9
Secretary/clerical
48
10
Factory worker
29
11
Restaurant/bar/hotel
64
12
Skilled trades (carpenter, tailor, etc.)
146
13
Preacher/pastor
62
14
Village elder
30
15
Domestic worker
27
16
Civil Servant/Government
621
17
Other (specify)
145
88
No activity/unemployed
316
99
Don’t Know
5
Occupation (Other)
What is this person's occupation? Other (specify).
143
0
How related to you
How is this person related to you?
9049
0
How related to you (recoded)
How is this person related to you?
9049
1
1
1701
125.944
309.878
1
Self
1
2
Spouse
197
3
Son
5
4
Daughter
2
5
Father
479
6
Mother
404
7
Grandson
16
8
Granddaughter
26
9
Grandfather
4
10
Grandmother
17
11
Brother
465
12
Sister
396
13
Uncle
105
14
Aunt
103
15
Co-wife
22
16
Cousin
479
17
Niece
86
18
Nephew
106
19
Stepchild
8
20
Foster child
1
30
Local Friend/Neighbor
4375
31
Non-resident Friend
281
32
Village head
6
33
Lineage head
0
34
Househelper
0
35
Employee
4
36
Employer
5
37
Landlord
0
38
Tenant/Renter
3
39
Priest
18
40
Trader
4
41
Other (specify)
428
99
Don’t Know
3
301
Son-in-law
27
401
Daughter-in-law
92
501
Father-in-law
58
601
Mother-in-law
152
901
Grandfather-in-law
0
1001
Grandmother-in-law
3
1101
Brother-in-law
214
1201
Sister-in-law
450
This variable is obtained by destringing irid06. For in-laws, "A" is recoded as "01"-- e.g. son in-law is 301, where it is 3A in irid06.
How related to you (Other)
How is this person related to you? Other (specify).
428
0
How long known person
How long have you known this person? [Number of years]
9049
1
0
99
20.943
15.833
How met this person
How did you first meet this person?
9049
1
1
98
2.529
2.508
1
through spouse/spouse’s family
2157
2
through family
3802
3
through friend
1305
4
through work
1029
5
through church
310
6
through school
218
7
through bar/nightclub
7
8
through health facility
175
9
through group/organization (specify)
28
10
other (specify)
14
How met this person (Other)
How did you first meet this person? Other (specify).
11
0
How often talk to this person
How often do you talk to this person?
9049
1
1
98
2.989
3.313
1
daily
4553
2
twice a week
683
3
once a week
1146
4
every two weeks
329
5
once a month
907
6
every three months
486
7
every six months
154
8
once a year
171
9
less than once a year
71
10
dead
545
Where this person lives
Where does this person live?
9049
1
1
99
2.578
5.427
1
This village
5492
2
This location
1199
3
Kosirai Division
544
4
Nandi District (inc. Kapsabet)
786
5
Uasin-Gishu District (exc. Eldoret)
333
6
Eldoret
152
7
Kakamega
28
8
Kitale
58
9
Kisumu
30
10
Nakuru
19
11
Nairobi
85
12
Other urban area
110
13
Other rural area
183
14
Outside Kenya
7
Education module done
primary female respondent
2744
0
1
Yes
2744
2
No
0
Household ID
Household ID
2744
0
1
91275
1639.574
8833.145
Respondent ID
Respondent ID
2744
0
Day of interview
Date of Interview. Day.
2744
0
1
31
15.394
8.527
1
129
2
85
3
71
4
87
5
88
6
88
7
87
8
101
9
73
10
88
11
57
12
84
13
98
14
89
15
141
16
93
17
137
18
79
19
78
20
105
21
113
22
111
23
66
24
104
25
90
26
73
27
92
28
68
29
78
30
80
31
11
Month of interview
Date of Interview. Month.
2744
0
Year of interview
Date of Interview. Year.
2744
0
Members in Section 2:
2744
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 new household members who are 6 years and older.
4
2740
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 new household members who are 6 years and older.
2744
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 new household members who are 6 years and older.
173
2571
1
Yes
160
2
No
13
Sysmiss
2571
Highest grade completed - Level
The primary female respondent.
What is the highest grade that [NAME] has completed? Level.
If answer is 3 or 4 > Go to 7 (qed07 - variable name in dataset).
All new household members who are 6 years and older.
160
2584
1
Nursery
15
2
Primary
122
3
Secondary
20
4
Post-sec.
3
Sysmiss
2584
Highest grade completed - Years
The primary female respondent.
What is the highest grade that [NAME] has completed? Number of years.
All new household members who are 6 years and older.
159
2585
Can read a newspaper
The primary female respondent.
Can [NAME] read a newspaper?
All new household members who are 6 years and older.
150
2594
1
Yes
92
2
No
58
Sysmiss
2594
Can write a letter
The primary female respondent.
Can [NAME] write a letter?
All new household members who are 6 years and older.
150
2594
1
Yes
94
2
No
56
Sysmiss
2594
Can do mathematical calculations
The primary female respondent.
Can [NAME] do mathematical calculations (either mental or written)?
All new household members who are 6 years and older.
150
2594
1
Yes
141
2
No
9
Sysmiss
2594
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 new household members who are 6 years and older.
173
2571
1
Technical
3
2
Professional
5
3
On-the-job
0
4
No
165
Sysmiss
2571
How many years of additional training - Year
The primary female respondent.
How many years of additional training? Years.
All new household members who are 6 years and older.
8
2736
0
98
13.125
34.307
How many months of additional training - Months
The primary female respondent.
How many years of additional training? Months
All new household members who are 6 years and older.
8
2736
0
98
14.125
33.993
Line number
primary female respondent
All those individuals who have ever attended school (from question 2 in Section I) and are between the ages of 6 and 25
27
2717
ID code
primary female respondent
ID
All those individuals who have ever attended school (from question 2 in Section I) and are between the ages of 6 and 25
2714
30
Still attending school or educational institution
The primary female respondent.
Is [NAME] still attending a school or an educational institution?
If answer is 2 > Go to 14 (qed14 - variable name in dataset).
2714
30
1
Yes
2015
2
No
697
8
1
9
1
Sysmiss
30
Attending the same school
The primary female respondent.
Is [NAME] attending the same school that he/she was attending during [round 1]?
2016
728
1
Yes
1869
2
No
109
3
Not in school last time
34
8
4
Sysmiss
728
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?
2016
728
0
99
31.08
28.53
0
446
3
2
4
2
5
15
6
4
7
5
8
30
9
1
10
33
11
2
12
18
14
17
15
20
16
43
18
8
20
88
21
10
24
46
25
181
28
40
30
116
32
97
35
113
36
1
38
2
40
422
43
1
44
1
45
10
60
1
63
1
70
12
99
Don't know
228
Sysmiss
728
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 15 (qed15 - variable name in dataset).
1985
759
1
Yes
905
2
No
903
8
128
9
49
Sysmiss
759
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 15 (qed15 - variable name in dataset).
1069
1675
1
98
19.894
33.663
1
Own illness
41
2
Caring for sick family member
3
3
Working at home
16
4
Working outside home
1
5
Holiday(s)
672
6
Funeral/mourning
3
7
Non-payment of fees
33
8
Teacher missing
4
9
Other (specify)
129
10
Too young
0
98
167
Sysmiss
1675
Why did not attend (Other)
The primary female respondent.
Why did [NAME] not attend school for the normal hours last week? Other(Specify).
129
0
Attended school at all since round 1
The primary female respondent.
Has [NAME] attended school at all since [round 1]?
If answer is 2 > Go to 17 (qed17 - variable name in dataset).
695
2049
1
Yes
69
2
No
624
8
2
Sysmiss
2049
Since round 1: Days when did not attend school
The primary female respondent.
Since [round 1], have there been any days when [NAME] did not attend school (for reasons other than holiday)?
If answer is 2 > Go to next person.
2088
656
1
Yes
836
2
No
1201
8
1
9
50
Sysmiss
656
How many days did not attend school
The primary female respondent.
For how many days did [NAME] not attend school, since [round 1]?
839
1905
1
180
10.684
23
Why did not attend school
The primary female respondent.
Why did [NAME] not attend school (on these days)?
1456
1288
1
99
5.389
6.774
1
Own illness
416
2
Caring for sick family member
26
3
Working at home
152
4
Working outside home
105
6
Funeral/mourning
54
7
Non-payment of fees
342
8
Teacher missing
7
9
Other (specify)
341
10
Too young
7
98
4
99
2
Sysmiss
1288
Why did not attend school (Other)
The primary female respondent.
Why did [NAME] not attend school (on these days)? Other (Specify).
341
0
Education expenditure module
3127
0
1
Yes
3127
2
No
0
Household ID
Household ID
3127
0
Respondent ID
Respondent ID
3127
0
Day of interview
Date of Interview. Day.
3127
0
Month of interview
Date of Interview. Month.
3127
0
Year of interview
Date of Interview. Year.
3127
0
Children in school
3127
0
13
4
1.819
Line number
30
3097
ID Code of child
ID Code of child
3127
0
2a. Second term
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 2004 (May – Aug).
Children who were in school during the past 6 months (including children living away from the household).
3127
0
0
99999
1474.492
4171.502
2b. Third term
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 third term 2004 (Sept – Nov).
Children who were in school during the past 6 months (including children living away from the household).
3127
0
0
72000
1101.209
3596.162
3. Child receive scholarship in 2nd term
The primary female respondent or the person that she indicates as the best able to respond.
Did [ID] receive a scholarship from an organization or any in-kind support (e.g. free food, free uniforms) for any part of his/her school expenses in 2nd term 2004?
If answer is 2 > Go to 4 (ee4 - variable name in dataset).
Children who were in school during the past 6 months (including children living away from the household).
3127
0
1
Yes
50
2
No
3061
8
6
9
10
3a. Amount of support received
The primary female respondent or the person that she indicates as the best able to respond.
Amount of support that [NAME] received.
Children who were in school during the past 6 months (including children living away from the household).
55
3072
98
80000
6575.855
13216.686
3b. Supporting institution
The primary female respondent or the person that she indicates as the best able to respond.
Supporting institution (if more than one, use main contributor).
Children who were in school during the past 6 months (including children living away from the household).
55
3072
1
cooperative union
0
2
school
2
3
community funds
4
4
church/religious group
18
5
government
22
6
other private organization/group (specify)
3
7
other (specify)
0
8
6
Sysmiss
3072
Supporting institution (Other)
The primary female respondent or the person that she indicates as the best able to respond.
Children who were in school during the past 6 months (including children living away from the household).
0
0
3c. Why scholarship was given
The primary female respondent or the person that she indicates as the best able to respond.
What was the reason why the scholarship was given?
Children who were in school during the past 6 months (including children living away from the household).
55
3072
1
Family unable to pay
36
2
Merit/competition
2
3
School program/charity
7
4
Other (specify)
5
8
5
Sysmiss
3072
Why scholarship was given (Other)
The primary female respondent or the person that she indicates as the best able to respond.
What was the reason why the scholarship was given? Other (specify).
Children who were in school during the past 6 months (including children living away from the household).
5
0
4. Child receive scholarship in 3rd term
The primary female respondent or the person that she indicates as the best able to respond.
Did [ID] receive a scholarship from an organization or any in-kind support (e.g. free food, free uniforms) for any part of his/her school expenses in 3rd term 2004?
If answer is 2 > Go to 5 (ee5 - variable name in dataset).
Children who were in school during the past 6 months (including children living away from the household).
3127
0
1
Yes
55
2
No
3056
8
6
9
10
4a. Amount of support received
The primary female respondent or the person that she indicates as the best able to respond.
Amount of support that [NAME] received.
Children who were in school during the past 6 months (including children living away from the household).
61
3066
98
80000
4572.607
11319.191
4b. Supporting institution
The primary female respondent or the person that she indicates as the best able to respond.
Supporting institution (if more than one, use main contributor).
Children who were in school during the past 6 months (including children living away from the household).
60
3067
1
cooperative union
0
2
school
1
3
community funds
5
4
church/religious group
20
5
government
26
6
other private organization/group (specify)
3
7
other (specify)
0
8
5
Sysmiss
3067
Supporting institution (Other)
The primary female respondent or the person that she indicates as the best able to respond.
Supporting institution (if more than one, use main contributor). Other (specify).
Children who were in school during the past 6 months (including children living away from the household).
0
0
4c. Why scholarship was given
The primary female respondent or the person that she indicates as the best able to respond.
What was the reason why the scholarship was given?
Children who were in school during the past 6 months (including children living away from the household).
60
3067
1
Family unable to pay
41
2
Merit/competition
2
3
School program/charity
8
4
Other (specify)
4
8
5
Sysmiss
3067
Why scholarship was given (Other)
The primary female respondent or the person that she indicates as the best able to respond.
What was the reason why the scholarship was given? Other (specify).
Children who were in school during the past 6 months (including children living away from the household).
4
0
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 2004?
If answer is 2 > Go to 6 (ee6 - variable name in dataset).
Children who were in school during the past 6 months (including children living away from the household).
3127
0
1
Yes
184
2
No
2934
8
4
9
5
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).
186
2941
10
20000
1006.054
2446.933
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).
186
2941
6. 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 3rd term 2004?
If answer is 2 > Go to 7 (ee7 - variable name in dataset).
Children who were in school during the past 6 months (including children living away from the household).
3124
3
1
Yes
171
2
No
2937
8
13
9
3
Sysmiss
3
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?
Children who were in school during the past 6 months (including children living away from the household).
183
2944
0
20000
747.279
2049.027
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 HHID of the main contributor.
Children who were in school during the past 6 months (including children living away from the household).
182
2945
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 2004?
If answer is 2 > Go to 8 (ee8 - variable name in dataset).
Children who were in school during the past 6 months (including children living away from the household).
3126
1
1
Yes
356
2
No
2759
8
3
9
8
Sysmiss
1
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).
360
2767
10
20000
1384.786
3146.905
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).
357
0
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 3rd term 2004?
If answer is 2 > Go to 9 (ee9 - variable name in dataset).
Children who were in school during the past 6 months (including children living away from the household).
3125
2
1
Yes
330
2
No
2764
8
24
9
7
Sysmiss
2
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).
349
2778
5
20000
1059.908
2652.818
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).
331
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).
3127
0
1
Never
1005
2
Very few times
1862
3
Almost half the time
61
4
Regularly
11
8
21
9
167
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).
3127
0
1
Yes
1490
2
No
1630
8
1
9
6
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).
1493
1634
1
Lack of employment
1050
2
Somebody was sick
122
3
Bad harvest on shamba
106
4
Business failure
88
5
Other
119
8
8
Sysmiss
1634
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).
119
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).
1493
1634
1
Yes
1059
2
No
381
8
49
9
4
Sysmiss
1634
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).
1108
2019
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).
521
2606
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).
219
2908
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).
99
3028
Household ID
Household ID
6457
0
Respondent ID
Respondent ID
6457
0
Health Module
6457
0
1
Yes
6457
2
No
0
Day of interview
Date of Interview. Day.
6457
0
Month of interview
Date of Interview. Month.
6457
0
Year of interview
Date of Interview. Year.
6457
0
Count Section A
6457
0
Count Section B
6457
0
Count Section D
6457
0
Line number
Primary female respondent
All household members.
28
6429
ID Code
Primary female respondent
ID Code of Individual
All household members.
6457
0
Had any illness during past 4 weeks
Primary female respondent
During the past 4 weeks has [NAME] had any illness or injury, for example, have you had a cough, cold, diarrhea, an injury due to an accident or any other illness?
If answer is 4 > Go to section B (dataset health_b).
All household members.
6457
0
1
Yes, illness
1436
2
Yes, injury
66
3
Yes, illness and injury
1
4
No
4829
8
1
9
124
How long ago did it start (Amount of time)
Primary female respondent
IF MORE THAN ONE, ASK ABOUT MOST RECENT ILLNESS or INJURY.
All household members.
1494
4963
1
48
3.821
4.772
How long ago did it start (Time unit)
Primary female respondent
IF MORE THAN ONE, ASK ABOUT MOST RECENT ILLNESS or INJURY.
All household members.
1494
4963
1
Minutes
2
2
Hours
0
3
Days
255
4
Weeks
703
5
Months
168
6
Year
365
7
1
Sysmiss
4963
Begin less than 6 months ago
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.
1488
4969
1
Yes
1062
2
No
418
8
8
Sysmiss
4969
Has had any other illness during the past 4 weeks
Primary female respondent
During the past 4 weeks has [NAME] had any other illness or injuries?
If answer is 2 > Go to section B (dataset health_b).
All household members.
423
6034
1
Yes
25
2
No
392
8
6
Sysmiss
6034
How long ago did it start (Amount of time)
Primary female respondent
IF MORE THAN ONE, ASK ABOUT MOST RECENT ILLNESS or INJURY.
All household members.
31
6426
1
98
21.581
38.163
How long ago did it start (Time unit)
Primary female respondent
IF MORE THAN ONE, ASK ABOUT MOST RECENT ILLNESS or INJURY.
All household members.
31
6426
1
Minutes
0
2
Hours
0
3
Days
1
4
Weeks
14
5
Months
5
6
Year
5
8
6
Sysmiss
6426
Begin less than 6 months ago
Primary female respondent
Did this illness begin less than six months ago?
If answer is 2 > Go to section B (dataset health_b).
All household members.
31
6426
1
Yes
18
2
No
6
8
7
Sysmiss
6426
For how many days did suffer
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.
1094
5363
0
150
10.359
20.166
Illness A:
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.
1094
5363
1
98
17.149
10.48
1
Diarrhea (acute)
20
2
Diarrhea (chronic, 1 month or more)
2
3
Weight loss (major)
1
4
Fever (acute)
60
5
Fever (recurring)
12
6
Skin rash
43
7
Weakness
55
8
Severe headache
186
9
Fainting
1
10
Chills (feeling hot and cold)
13
11
Vomiting
26
12
Cough
165
13
Productive cough
4
14
Coughing blood
1
15
Pain on passing urine
1
16
Genital sores
3
17
Mental disorder
0
18
Abdominal pain
52
19
Sore throat
7
20
Difficulty breathing
10
21
Burn
2
22
Fracture
7
23
Wound
47
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
105
30
23
31
199
32
48
98
1
Sysmiss
5363
Illness B:
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.
677
5780
1
32
14.713
9.698
1
Diarrhea (acute)
14
2
Diarrhea (chronic, 1 month or more)
5
3
Weight loss (major)
2
4
Fever (acute)
51
5
Fever (recurring)
25
6
Skin rash
9
7
Weakness
80
8
Severe headache
93
9
Fainting
1
10
Chills (feeling hot and cold)
12
11
Vomiting
34
12
Cough
109
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
36
19
Sore throat
10
20
Difficulty breathing
11
21
Burn
0
22
Fracture
1
23
Wound
4
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
61
30
17
31
80
32
21
Sysmiss
5780
Illness C:
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.
269
6188
1
32
14.457
9.292
1
Diarrhea (acute)
7
2
Diarrhea (chronic, 1 month or more)
1
3
Weight loss (major)
3
4
Fever (acute)
17
5
Fever (recurring)
7
6
Skin rash
7
7
Weakness
37
8
Severe headache
19
9
Fainting
0
10
Chills (feeling hot and cold)
12
11
Vomiting
27
12
Cough
36
13
Productive cough
1
14
Coughing blood
0
15
Pain on passing urine
0
16
Genital sores
2
17
Mental disorder
0
18
Abdominal pain
16
19
Sore throat
6
20
Difficulty breathing
1
21
Burn
0
22
Fracture
0
23
Wound
0
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
33
30
14
31
15
32
8
Sysmiss
6188
Illness D:
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.
56
6401
1
32
18.804
10.64
1
Diarrhea (acute)
1
2
Diarrhea (chronic, 1 month or more)
0
3
Weight loss (major)
0
4
Fever (acute)
5
5
Fever (recurring)
0
6
Skin rash
1
7
Weakness
8
8
Severe headache
2
9
Fainting
0
10
Chills (feeling hot and cold)
0
11
Vomiting
4
12
Cough
3
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
2
21
Burn
0
22
Fracture
0
23
Wound
0
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
11
30
8
31
2
32
6
Sysmiss
6401
Illness E:
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.
9
6448
4
32
17.444
12.37
1
Diarrhea (acute)
0
2
Diarrhea (chronic, 1 month or more)
0
3
Weight loss (major)
0
4
Fever (acute)
1
5
Fever (recurring)
0
6
Skin rash
0
7
Weakness
2
8
Severe headache
1
9
Fainting
0
10
Chills (feeling hot and cold)
1
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)
1
31
1
32
2
Sysmiss
6448
Primary female respondent
If illness: can you describe the symptoms that [NAME] suffered from during this illness? What is/was wrong? Other (specify).
207
0
Days unable to carry out activities
Primary female respondent
For how many days was [NAME] unable to carry out his/her usual activities because of this illness or injury? [Number of days]
Go to 12 (h12 - variable name in dataset).]]>
All household members.
1094
5363
0
98
2.458
7.215
Person 8 or older
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.
459
5998
1
Yes
382
2
No
73
8
3
9
1
Sysmiss
5998
Who was performing work
Primary female respondent
During [NAME’s] illness who was mainly performing his/her work?
Write HHID.
386
6071
97
Person outside home
98
Nobody
Anyone been consulted for treating illness
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 39 (h39 - variable name in dataset).
All household members.
1094
5363
1
Yes
833
2
No
261
Sysmiss
5363
Where did first go for advice/treatment
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.
833
5624
1
99
6.25
5.856
1
National Referral Hosp. (Kenyatta, Moi)
14
2
Government District/Provincial Hosp.
73
3
Mosoriot Rural Health Center
238
4
Government Health Center (exc. Mosoriot)
61
5
Government dispensary
111
6
Mission hospital/clinic
13
7
Other private hospital/clinic
40
8
Chemist/pharmacy
90
9
Private doctor (like priv. clinic)
31
10
Mobile clinic
2
11
Community health worker
1
12
Retail shop
116
13
Herbalist/traditional healer
30
14
Relative/friend
0
15
Other (specify)
11
99
2
Sysmiss
5624
Where did first go for advice/treatment (Other)
Primary female respondent
Where did [NAME] first go for advice or treatment? Other (specify).
11
0
How long did it take to travel - Hours
Primary female respondent
How long did it take [NAME] to travel to this establishment? Hours.
RECORD TIME FOR ONE WAY JOURNEY.
All household members.
822
5635
0
99
2.134
13.102
How long did it take to travel - Minutes
Primary female respondent
How long did it take [NAME] to travel to this establishment? Minutes.
RECORD TIME FOR ONE WAY JOURNEY.
All household members.
821
5636
0
99
17.284
13.946
Spend a night at establishment
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 18 (h18 - variable name in dataset).
All household members.
822
5635
1
Yes
30
2
No
792
Sysmiss
5635
How many nights
Primary female respondent
How many nights in total?
30
6427
How much money has paid for stay at establishment
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.
30
6427
0
12000
986.3
2522.46
How many times did vist the establishment
Primary female respondent
How many times did [NAME] visit this establishment for this illness or injury? [Number of times in the past 6 months]
All household members.
822
5635
0
99
2.309
9.581
How much household pay for all visits at the establishement
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.
822
5635
0
3000
42.269
166.035
Seek advice or care at any other establishment
Primary female respondent
Did [NAME] seek advice or care at any other establishment for this illness or injury?
If answer is 2 > Go to 39 (h39 - variable name in dataset).
All household members.
833
5624
1
Yes
49
2
No
784
Sysmiss
5624
Where was second place sought care
Primary female respondent
Where was the second place that [NAME] sought care or advice?
49
6408
1
National Referral Hosp. (Kenyatta, Moi)
10
2
Government District/Provincial Hosp.
8
3
Mosoriot Rural Health Center
15
4
Government Health Center (exc. Mosoriot)
0
5
Government dispensary
0
6
Mission hospital/clinic
0
7
Other private hospital/clinic
4
8
Chemist/pharmacy
4
9
Private doctor (like priv. clinic)
4
10
Mobile clinic
0
11
Community health worker
0
12
Retail shop
0
13
Herbalist/traditional healer
4
14
Relative/friend
0
15
Other (specify)
0
Sysmiss
6408
Where was second place sought care (Other)
Primary female respondent
Where was the second place that [NAME] sought care or advice? Other (specify).
0
0
How long did it take to travel (hrs)
Primary female respondent
How long did it take [NAME] to travel to this establishment? Hours.
RECORD TIME FOR ONE WAY JOURNEY.
49
6408
How long did it take to establishement (mins)
Primary female respondent
How long did it take [NAME] to travel to this establishment? Mintues.
RECORD TIME FOR ONE WAY JOURNEY.
49
6408
0
45
18.98
16.425
Spend night at establishment
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.
49
6408
1
Yes
10
2
No
39
Sysmiss
6408
How many nights
Primary female respondent
How many nights?
10
6447
How much money pay for stay at establishment
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.
10
6447
99
21000
3629.8
6818.236
How many times visited the establishment
Primary female respondent
How many times did [NAME] visit this establishment for this illness or injury?
49
6408
How much household pay for all visits at the establishement
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.
49
6408
0
2800
195.469
536.559
Did seek care at any other establishement
Primary female respondent
Did [NAME] seek care at any other establishment for this illness or injury?
If answer is 2 > Go to 39 (h39 - variable name in dataset).
All household members.
49
6408
1
Yes
1
2
No
48
Sysmiss
6408
Where was the third place sought care
Primary female respondent
Where was the third place that [NAME] sought care or advice?
1
6456
1
National Referral Hosp. (Kenyatta, Moi)
0
2
Government District/Provincial Hosp.
0
3
Mosoriot Rural Health Center
1
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
Sysmiss
6456
Where was the third place sought care (Other)
Primary female respondent
Where was the third place that [NAME] sought care or advice? Other (specify).
0
0
How did it take to travel (Hrs)
Primary female respondent
How long did it take [NAME] to travel to this establishment? Hours.
RECORD TIME FOR ONE WAY JOURNEY.
1
6456
How did it take to travel (Mins)
Primary female respondent
How long did it take [NAME] to travel to this establishment? Minutes.
RECORD TIME FOR ONE WAY JOURNEY.
1
6456
Did have to spend the night at establishment
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 34 (h34 - variable name in dataset).
All household members.
1
6456
1
Yes
0
2
No
1
Sysmiss
6456
How many nights
Primary female respondent
How many nights ?
All household members.
0
6457
How much money pay for stay at establishment
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.
0
6457
How many times visit the establishment
Primary female respondent
How many times did [NAME] visit this establishment for this illness or injury?
1
6456
How much household pay for all visits at the establishement
Primary female respondent
How much money did your household pay for all of the visits to this establishment for this injury or illness?
All household members.
1
6456
Seek care at any other establishment
Primary female respondent
Did [NAME] seek care at any other establishment for this illness or injury?
If answer is 2 > Go to 39 (h39 - variable name in dataset).
1
6456
1
Yes
0
2
No
1
Sysmiss
6456
How many other establishment
Primary female respondent
How many other establishments did [NAME] visit?
All household members.
0
6457
How much money was spent for all visits
Primary female respondent
How much money was spent for all visits to other establishments for this illness or injury?
All household members.
0
6457
Confined to bed at home
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 41 (h41 - variable name in dataset).
All household members.
1094
5363
1
Yes
275
2
No
816
8
3
Sysmiss
5363
Who was caring most of the time
Primary female respondent
Who in your household was caring for [NAME] most of the time?
Use HHID.
All household members.
274
6183
97
Outside
98
Nobody
How much has been spent for transportation
Primary female respondent
How much has been spent altogether for transportation to health care for this illness or injury?
All household members.
1094
5363
0
9600
68.851
350.591
How much has been spent on medication
Primary female respondent
How much has been spent altogether for medicines (including traditional medicines) for this illness?
All household members.
1094
5363
0
10000
125.965
558.575
What was the amount of total cost by employer
Primary female respondent
What was the amount of [NAME’s] total costs paid for by an employer?
All household members.
1094
5363
0
99
0.715
8.336
What was the amount of total cost by persons outside
Primary female respondent
What was the amount of [NAME’s] total costs paid for by persons outside your household (like family members)?
Exclude loans.
All household members.
1094
5363
0
4600
16.08
205.607
Still suffering from this illness
Primary female respondent
Is [NAME] still suffering from this illness or injury today?
All household members.
1094
5363
1
Yes
411
2
No
682
9
1
Sysmiss
5363
Was illness diagnosed by a health professional
Primary female respondent
Was [NAME’s] illness diagnosed by a health professional?
All household members.
1094
5363
1
Yes
590
2
No
502
8
2
Sysmiss
5363
What illness professional think
Primary female respondent
What illness did the health practitioner think [NAME] had?
592
5865
1
99
26.142
26.962
1
HIV/AIDS
16
2
Asthma
5
3
Bilharzia/ Shistosomiasis
0
4
Cancer
2
5
Diarrhea
4
6
Dysentry
0
7
Fracture/break
6
8
Gnorrhea
1
9
Intestinal Parisites
7
10
Malaria
225
11
Malnutrition (Kwashiorkor/Marasmus)
1
12
Measles
5
13
Meningitis
0
14
Poisoning
1
15
Polio
0
16
Syphilis
1
17
Tetanus
0
18
Tuberculosis
6
19
Typhoid
17
20
Urinary Infection
2
21
Witchcraft
1
22
Other STD (specify)
1
23
Other illness (specify)
96
24
Other injury (specify)
20
30
90
31
18
32
2
98
1
99
Don’t know
64
Sysmiss
5865
What illness professional think (Other)
Primary female respondent
What illness did the health practitioner think [NAME] had? Other (specify).
117
0
What illness do you think (Name) is suffering
Primary female respondent
What illness do you think [NAME] is suffering from?
1094
5363
1
99
23.891
16.823
1
HIV/AIDS
20
2
Asthma
4
3
Bilharzia/ Shistosomiasis
0
4
Cancer
2
5
Diarrhea
9
6
Dysentry
2
7
Fracture/break
10
8
Gnorrhea
3
9
Intestinal Parisites
13
10
Malaria
277
11
Malnutrition (Kwashiorkor/Marasmus)
1
12
Measles
7
13
Meningitis
0
14
Poisoning
1
15
Polio
0
16
Syphilis
0
17
Tetanus
1
18
Tuberculosis
7
19
Typhoid
10
20
Urinary Infection
1
21
Witchcraft
5
22
Other STD (specify)
0
23
Other illness (specify)
219
24
Other injury (specify)
41
30
401
31
20
32
2
98
1
99
Don’t know
37
Sysmiss
5363
What illness do you think (Name) is suffering (Other)
Primary female respondent
What illness do you think [NAME] is suffering from? Other (specify).
259
0
Has been recurring problem
Primary female respondent
Has this been a recurring problem?
If answer is 2 > Go to 51 (h51 - variable name in dataset).
All household members.
1094
5363
1
Yes
249
2
No
844
9
1
Sysmiss
5363
How many times in the past 6 months has been stricken with s
Primary female respondent
How many times in the past 6 months has [NAME] been stricken with the same condition?
All household members.
250
6207
0
99
3.408
10.634
How many othe illness did have in past 4 weeks
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 (health_b - name of dataset).
All household members.
1094
5363
0
98
0.238
4.203
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.
51
6406
0
5000
163.098
704.81
For how many days was unable to carry out normal activities
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.
52
6405
0
99
18.769
37.06
Line number
Primary female respondent
All household members.
28
6429
1
5
2
5
3
5
4
5
5
3
6
2
7
2
8
1
Sysmiss
6429
ID code
Primary female respondent
ID
All household members.
6454
3
1
1128
2
1072
3
977
4
883
5
714
6
549
7
393
8
274
9
177
10
95
11
68
12
43
13
26
14
20
15
16
16
7
17
7
18
3
19
2
Sysmiss
3
Has been living with any health problem
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.
6454
3
1
Yes
1185
2
No
5266
3
1
8
1
9
1
Sysmiss
3
How long ago did problem start (Amount of time)
Primary female respondent
How long ago did this problem start? Amt of time.
All household members.
1186
5271
0
99
5.755
8.252
How long ago did problem start (Time unit)
Primary female respondent
How long ago did this problem start? Time unit.
All household members.
1186
5271
1
Minutes
2
2
Hours
0
3
Days
0
4
Weeks
3
5
Months
176
6
Year
1003
8
2
Sysmiss
5271
Has condition been diagnosed by health professional
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.
1186
5271
1
Yes
1072
2
No
110
8
3
9
1
Sysmiss
5271
What condition did health professional think
Primary female respondent
What condition did the health professional think [NAME] have?
1076
5381
1
99
10.178
20.062
1
HIV/AIDS
725
2
Asthma
36
3
Bilharzia/ Shistosomiasis
0
4
Cancer
6
5
Diarrhea
0
6
Dysentry
0
7
Fracture/break
2
8
Gnorrhea
0
9
Intestinal Parisites
6
10
Malaria
4
11
Malnutrition (Kwashiorkor/Marasmus)
0
12
Measles
0
13
Meningitis
1
14
Poisoning
0
15
Polio
6
16
Syphilis
0
17
Tetanus
0
18
Tuberculosis
6
19
Typhoid
4
20
Urinary Infection
0
21
Witchcraft
0
22
Other STD (specify)
0
23
Other illness (specify)
213
24
Other injury (specify)
4
26
1
30
1
31
10
32
10
98
5
99
Don’t know
36
Sysmiss
5381
What condition did health professional think (Other)
Primary female respondent
What condition did the health professional think [NAME] have? Other (specify).
217
0
ABDOMINAL PROBLEM
1
ALLERGY
7
ANAEMIA
1
ANEMIA
1
ANTHRYTIS
1
ARTHRITIS
8
ATHRITIS
3
ATHRITIS,JOINT PAIN
1
BACK ACHE
3
BACKACHE
2
BLINDNESS
2
BRUCELLA
2
BRUCELLOSIS
1
CELEBRAL
2
CHEST INFECTION
1
CHEST PAIN
3
CHEST PROBLEM
2
DEAF
1
DEAFNESS
1
DENTAL PROBLEM
1
DIABETES
2
DISABILITY
1
DISABLE
1
DISABLED LEG
1
DISLOCATION
2
EAR PROBLEM
7
EAR PROBLEMS
2
EARS PROBLEM
1
EPILEPSY
12
EPLEPSY
1
EYE DEFECT
2
EYE PROBLEM
9
EYES PROBLEM
2
EYES PROBLEMS
1
GOITRE
2
GROWTH IN THE NECK
1
HALLUCINATION
1
HEART DEFECTS
1
HEART PROBLEM
5
HIGHPERTENSION
1
HYPERTENSION
4
HYPERTENTION
1
INFECTION OF UTERUS
1
KIDNEY FAILURE
1
KIDNEY PROBLEM
1
KNEE PROBLEM
4
LEG PAIN
2
LEGS PROBLEM
1
MAD
1
MENTAL
1
MENTAL DISORDER
1
MENTAL ILLINESS
2
MENTAL ILLNESS
7
MENTALLY ILL
3
NOSAL BLOCKAGE
1
PARALYSIS
2
PARTIAL BLINDNESS
1
POLIO
1
RHUMATIC HEART DISEA
1
RHUMATISM
1
SKIN DISEASE
3
SKIN INFECTION
2
SLEEPING SICKNESS
1
SPEECH DISORDER
1
SPEECH PROBLEM
1
SPINAL LIQUID
1
SPONDYLOSIS
1
STROKE
2
TB SPINE
1
TONSILITIS
3
TONSILS
3
TOOTH ACHE
1
TOOTH PROBLEM
3
TOOTHACHE
1
ULCER
2
ULCERS
51
URINE RETENTION
1
UTERUS PROBLEM
1
WOUND
2
Symptoms have A:
Primary female respondent
What symptoms does [NAME] have?
List up to 4.
All household members.
1161
5296
0
98
22.051
24.215
1
Diarrhea (acute)
5
2
Diarrhea (chronic, 1 month or more)
14
3
Weight loss (major)
37
4
Fever (acute)
2
5
Fever (recurring)
32
6
Skin rash
179
7
Weakness
143
8
Severe headache
42
9
Fainting
5
10
Chills (feeling hot and cold)
15
11
Vomiting
12
12
Cough
82
13
Productive cough
6
14
Coughing blood
2
15
Pain on passing urine
1
16
Genital sores
5
17
Mental disorder
18
18
Abdominal pain
73
19
Sore throat
9
20
Difficulty breathing
34
21
Burn
0
22
Fracture
1
23
Wound
9
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
199
Symptoms have B:
Primary female respondent
What symptoms does [NAME] have?
List up to 4.
All household members.
653
5804
0
32
12.573
9.159
1
Diarrhea (acute)
13
2
Diarrhea (chronic, 1 month or more)
14
3
Weight loss (major)
31
4
Fever (acute)
4
5
Fever (recurring)
49
6
Skin rash
63
7
Weakness
136
8
Severe headache
37
9
Fainting
3
10
Chills (feeling hot and cold)
11
11
Vomiting
16
12
Cough
76
13
Productive cough
7
14
Coughing blood
2
15
Pain on passing urine
0
16
Genital sores
4
17
Mental disorder
4
18
Abdominal pain
30
19
Sore throat
7
20
Difficulty breathing
15
21
Burn
0
22
Fracture
0
23
Wound
5
24
Child birth
0
25
Ameobeosis
1
26
Other (specify)
55
Symptoms have C:
Primary female respondent
What symptoms does [NAME] have?
List up to 4.
All household members.
319
6138
1
32
13.11
9.546
1
Diarrhea (acute)
8
2
Diarrhea (chronic, 1 month or more)
5
3
Weight loss (major)
21
4
Fever (acute)
3
5
Fever (recurring)
22
6
Skin rash
33
7
Weakness
44
8
Severe headache
18
9
Fainting
3
10
Chills (feeling hot and cold)
9
11
Vomiting
10
12
Cough
39
13
Productive cough
4
14
Coughing blood
1
15
Pain on passing urine
2
16
Genital sores
0
17
Mental disorder
2
18
Abdominal pain
12
19
Sore throat
9
20
Difficulty breathing
5
21
Burn
0
22
Fracture
0
23
Wound
0
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
28
Symptoms have D:
Primary female respondent
What symptoms does [NAME] have?
List up to 4.
All household members.
105
6352
1
32
13.324
8.666
1
Diarrhea (acute)
2
2
Diarrhea (chronic, 1 month or more)
0
3
Weight loss (major)
6
4
Fever (acute)
0
5
Fever (recurring)
5
6
Skin rash
12
7
Weakness
13
8
Severe headache
6
9
Fainting
0
10
Chills (feeling hot and cold)
0
11
Vomiting
2
12
Cough
20
13
Productive cough
4
14
Coughing blood
4
15
Pain on passing urine
0
16
Genital sores
0
17
Mental disorder
0
18
Abdominal pain
4
19
Sore throat
6
20
Difficulty breathing
3
21
Burn
0
22
Fracture
0
23
Wound
0
24
Child birth
0
25
Ameobeosis
1
26
Other (specify)
6
Symptoms have (Other)
Primary female respondent
What symptoms does [NAME] have? Other (specify).
282
0
AFFECTED AREA PAINS
1
ALLUCINATION
1
B/PAINS
1
BACK ACHE
11
BACK PAIN
6
BACK PAINS
2
BACKACHE
37
BACKACHE & ARM PAIN
1
BACKACHE & EYE PROBL
1
BACKACHE&PAINFUL ARM
1
BACKACHE,KNEE PAIN
1
BACKACHE,LEG PAINS
1
BACKPAIN
1
BAD DREAMS
1
BENDED PAINFUL LEGS
1
BLINDNESS
4
BLISTER ON FACE
1
BLOCKAGE OF NOSE
1
BLOCKED NOSE
4
BLOOD P PALPITATION
1
BLOOD STAIN STOOL
1
BLURRED VISION
1
BODY PARALYSED
1
BREAST ITCHING
1
BREAST PAIN
1
CHEST PAINS
1
CONSTIPATION
1
CRIPPLED
1
DEPRESSION
1
DISCHARGE/CANT HEAR
1
DIZZNESS
1
EAR ACHE
1
EAR DISCHARGE
1
EAR INFECTION
1
EAR PAIN,INFECTION
1
EAR PROBLEM
1
EAR PROBLEMS
1
EPILEPTIC FITS
1
EYE EAR PROBLEM
1
EYE INFECTION
1
EYE PROBLEM
6
FAINTING
3
FLUID FROM EAR
1
FOOT PAIN
1
GASTRIC PAIN
1
GET SICK WHEN COLD
1
GROWTH PAIN STOMACH
1
HEADBURN
1
HEARING DEFECT
1
HEARING PROBLEM
3
HEARING PROBLEM DEAF
1
HEART BURN
14
HEART BURNS
1
HEARTBURN
1
HIGH BLOOD PRESSURE
2
INABILITY TO HEAR
1
INABILITY TO WALK
1
ITCHING EYES
6
ITCHING EYES,REDNESS
1
ITCHY EYES
3
JOINT PAINS
2
KNEE PAIN
2
KNEE PAINS
1
KNEE PROBLEM
1
LEG IMBALANCE
1
LEG PAIN
6
LEG PAIN,HAND PAIN
1
LEG PAINS
2
LEG PARALYSIS
2
LEGS PAIN,BACK PAIN
1
LIMPING
1
LOSS OF APPETITE
5
LUMP ON JAW
1
MEMORY LOSS
1
NECK PAIN
1
NECK STIFFNESS
1
NO APPETITE
1
NOSE BLEEDING
3
NOSE BLOCKAGE
2
NOSE BLOCKED
1
NOT ABLE TO WALK
1
OEDEMA
2
OEDEMA LOOSE BLADDER
1
OEDEMA,LOW SUGAR
1
ORAL THRUSH
1
PAIN & SWOLLEN LEG
1
PAIN & SWOLLEN LEGS
1
PAIN IN EYE
1
PAIN IN THE EAR
1
PAIN IN THE STOMACH
1
PAIN LEGS DEDEMA
1
PAIN ON THE LEGS
1
PAIN WHEN SWALLOWING
1
PAINFUL EYES
1
PAINFUL HANDS
1
PAINFUL JOINTS
1
PAINFUL LEGS
5
PALPATION ANAEMIC
1
PALPITATION
2
PARALISED
2
POOR VISION
5
PROBLEM WITH MOVEMEN
1
PUS IN THE EAR
1
RED EYES
1
RED ITCHY EYES
2
RED LIPS
5
RING WORMS
2
RINGWORMS
2
SLEEPING ALWAYS
1
SNEEZING
1
SPEAKING PROB
1
SPEECH PROBLEM
3
STOMACH ACHE
1
STOMACH PAIN
1
STOOPING BACK
1
SWELLING ON THE KNEE
2
SWELLING PAIN KNEE
1
SWOLLEN JAW
1
SWOLLEN JOINTS
1
SWOLLEN KNEE
1
SWOLLEN LEG
2
SWOLLEN LEGS
7
SWOLLEN LYMPHNODES
1
SWOLLEN RED EYES
1
SWOLLEN TONSILS
1
TAKING ALOT OF WATER
1
TALKING TO SELF
1
THIRSTY & MUCH URINA
1
THYROD SWELLS
1
TIREDNESS
1
TOOTH ACHE
4
TOOTHACHE
8
ULCER NEAR NOSE
1
UNABLE TO WALK
1
URINE RETENTION
2
UTERUS PAINS
1
VAGINAL DISCHARGE
1
VERICOS VEIN
1
WOUNDS ON LIPS
1
How much money did spend on all these conditions
Primary female respondent
All household members.
1187
5270
0
14500
200.227
639.217
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.
1187
5270
0
99
4.476
17.346
Has suffered diarrhea for a month or more
Primary female respondent
Has [NAME] suffered diarrhea for a month or more?
All household members.
6452
5
1
Yes
136
2
No
6254
8
60
9
2
Sysmiss
5
Has lost much weight in recent months
Primary female respondent
Has [NAME] continuously lost weight in recent months?
All household members.
6452
5
1
Yes
276
2
No
6114
8
60
9
2
Sysmiss
5
Has had a recurring fever for a month or more
Primary female respondent
Has [NAME] had a recurring fever for a month or more?
All household members.
6452
5
1
Yes
355
2
No
6034
8
61
9
2
Sysmiss
5
Has suffered from any skin rash in past year
Primary female respondent
Has [NAME] suffered from any skin rash in the past year?
All household members.
6452
5
1
Yes
606
2
No
5785
8
60
9
1
Sysmiss
5
Has suffered from persistent sore throat
Primary female respondent
Has [NAME] suffered from a persistent sore throat in the last 3 months? (Thrush)
All household members.
6452
5
1
Yes
245
2
No
6145
8
61
9
1
Sysmiss
5
Has felt much more tired than normal
Primary female respondent
Has [NAME] felt much more tired than normal in the past 3 months?
All household members.
6452
5
1
Yes
652
2
No
5737
8
61
9
2
Sysmiss
5
Has been sweating during the night
Primary female respondent
Has [NAME] been sweating during the night in the last 3 months?
6452
5
1
Yes
616
2
No
5769
8
61
9
6
Sysmiss
5
Line number
I would like to ask you for the Mosoriot Health Center's medical records number of EACH household member. This information will be kept confidential and will only be used for research purposes. Your answers to all the questionnaires will not be given to staff at the Mosoriot Health Center.
All household members.
18
6439
1. ID Code
ID Code
Copy the ID Code of every household member from Section 1 of the Household Roster.
All household members.
5373
1084
2. Ever visited Mosoriot Rural Health Centre
Primary female respondent
Has [NAME] ever visited the Mosoriot Rural Health Center?
If answer is 2 > Go to next person.
All household members.
5373
1084
1
Yes
2618
2
No
2736
8
15
9
4
Sysmiss
1084
3. Have card with ID # for Mosoriot health records
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.
2633
3824
1
Yes
940
2
No
1094
8
551
9
48
88
Lost the card
0
99
Don’t Know
0
Sysmiss
3824
4. See the card
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.
942
5515
1
Yes – showed the card
743
2
Yes – reported the ID number
30
3
Refused to show card or tell number
1
4
Card not available
162
8
6
Sysmiss
5515
5. Card ID number
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.
773
0
Health Module
1144
0
1
Yes
1144
2
No
0
Household ID
Household ID
1144
0
Respondent ID
Respondent ID
1144
0
Day of interview
Date of Interview. Day.
1144
0
Month of interview
Date of Interview. Month.
1144
0
Year of interview
Date of Interview. Year.
1144
0
Has anyone had malaria since Jan 2002
Primary female respondent
Has anyone in the household had malaria since [Round 1] (including illnesses discussed in section A)?
If answer is 2 > Go to next disease.
All household members.
1144
0
1
Yes
766
2
No
378
Count Section C
766
378
1
7
2.159
1.418
Anyone had tuberclosis since Jan 2002
Primary female respondent
Has anyone in the household had tuberculosis since [Round 1] (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.
1144
0
1
Yes
129
2
No
1015
Count of TB
129
1015
1
4
1.109
0.4
Has anyone had typhoid
Primary female respondent
Has anyone in the household had typhoid since [Round 1] (including illnesses discussed in sections A or B?
If answer is 2 > Go to next disease.
All household members.
1144
0
1
Yes
144
2
No
1000
Count of Typhoid
144
1000
1
3
1.118
0.345
Anyone had menengitis
Primary female respondent
Has anyone in the household had meningitis since [Round 1] (including illnesses discussed in sections A or B?
If answer is 2 > Go to section D (mmrs - name of dataset).
All household members.
1144
0
1
Yes
6
2
No
1138
Count of menengitis
6
1138
1
1
1
0
Health Module
1654
0
1
Yes
1654
2
No
0
Household ID
Household ID
1654
0
Respondent ID
Respondent ID
1654
0
Day of interview
Date of Interview. Day.
1654
0
Month of interview
Date of Interview. Month.
1654
0
Year of interview
Date of Interview. Year.
1654
0
Line number
Primary female respondent
All sick household members.
2
1652
ID code
Primary female respondent
ID Code
All sick household members.
1654
0
Episode number
Primary female respondent
Episode number for [NAME]
All sick household members.
1654
0
Date started (Month)
Primary female respondent
Date started. Month.
All sick household members.
1654
0
Date started (Year)
Primary female respondent
Date started. Year.
All sick household members.
1654
0
Length of episode - Time
Primary female respondent
Length of Episode.
All sick household members.
1654
0
1
99
5.122
14.573
Length of episode - Unit
Primary female respondent
Length of Episode. Time Units.
All sick household members.
1654
0
1
Minutes
0
2
Hours
0
3
Days
862
4
Weeks
694
5
Months
53
6
Year
0
7
2
8
34
9
9
Where illness diagnosed as malaria
Primary female respondent
Where was this illness diagnosed as malaria?
All sick household members.
1654
0
1
99
12.768
27.678
1
National Referral Hosp. (Kenyatta, Moi)
33
2
Government District/Provincial Hosp.
394
3
Mosoriot Rural Health Center
389
4
Government Health Center (exc. Mosoriot)
209
5
Government dispensary
274
6
Mission hospital/clinic
41
7
Other private hospital/clinic
89
8
Chemist/pharmacy
11
9
Private doctor (like priv. clinic)
37
10
Mobile clinic
2
11
Community health worker
1
12
Retail shop
10
13
Herbalist/traditional healer
4
14
Relative/friend
1
15
Other (specify)
2
98
Self
156
99
1
Where illness diagnosed as malaria
Primary female respondent
Where was this illness diagnosed as malaria? Other (specify).
All sick household members.
2
0
Medicines used
Primary female respondent
Were any medicines used by [NAME]?
If answer is 2 > Go to next episode.
All sick household members.
1654
0
1
99
2.3
11.126
1
Yes
1618
2
No
14
Which medicines - 1
Primary female respondent
Which medicines?
All sick household members.
1640
14
1
99
32.994
43.176
1
Antipyretics (aspro, calpol, brufen, etc)
235
2
Chloroquine (malaroquine, etc)
17
3
Sulfa combinations (fansidar,metakelfin)
421
4
Halofantrine (hanfan)
0
5
Amodiaquine (camoquine)
119
6
Cotrimoxazole (bactrim, septrin)
13
7
Artimisinin (artenam, artomothor)
6
8
Herbal/traditional remedies
8
9
Other, specify
5
Which medicines - 2
Primary female respondent
Which medicines?
All sick household members.
911
743
1
99
3.723
8.909
1
Antipyretics (aspro, calpol, brufen, etc)
506
2
Chloroquine (malaroquine, etc)
16
3
Sulfa combinations (fansidar,metakelfin)
178
4
Halofantrine (hanfan)
0
5
Amodiaquine (camoquine)
69
6
Cotrimoxazole (bactrim, septrin)
8
7
Artimisinin (artenam, artomothor)
5
8
Herbal/traditional remedies
7
9
Other, specify
7
Which medicines - 3
Primary female respondent
Which medicines?
All sick household members.
182
1472
1
99
4.544
10.502
1
Antipyretics (aspro, calpol, brufen, etc)
92
2
Chloroquine (malaroquine, etc)
9
3
Sulfa combinations (fansidar,metakelfin)
19
4
Halofantrine (hanfan)
0
5
Amodiaquine (camoquine)
15
6
Cotrimoxazole (bactrim, septrin)
10
7
Artimisinin (artenam, artomothor)
0
8
Herbal/traditional remedies
10
9
Other, specify
3
Which medicines - 3 (Other)
Primary female respondent
Which medicines? Other (specify).
All sick household members.
15
0
Health Module
22880
0
1
Yes
22880
2
No
0
Household ID
Household ID
22880
0
Respondent ID
Respondent ID
22880
0
Day of interview
Date of Interview. Day.
22880
0
Month of interview
Date of Interview. Month.
22880
0
Year of interview
Date of Interview. Year.
22880
0
Line number
Primary female respondent
All sick household members.
0
22880
ID code
Primary female respondent
ID Code
All sick household members.
143
22737
Episode number
Primary female respondent
Episode number for [NAME]
All sick household members.
143
22737
Date started (Month)
Primary female respondent
Date started. Month.
All sick household members.
143
22737
Date started (Year)
Primary female respondent
Date started. Year.
All sick household members.
143
22737
Length of episode - Time
Primary female respondent
Length of Episode.
All sick household members.
143
22737
1
88
41.049
40.381
Length of episode - Unit
Primary female respondent
Length of Episode. Time Units.
All sick household members.
143
22737
1
Minutes
0
2
Hours
1
3
Days
2
4
Weeks
2
5
Months
72
6
Year
6
8
60
Sysmiss
22737
Where illness was diagnosed
Primary female respondent
Where was this illness diagnosed as tuberculosis?
All sick household members.
143
22737
1
National Referral Hosp. (Kenyatta, Moi)
16
2
Government District/Provincial Hosp.
39
3
Mosoriot Rural Health Center
83
4
Government Health Center (exc. Mosoriot)
2
5
Government dispensary
1
6
Mission hospital/clinic
1
7
Other private hospital/clinic
1
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
Sysmiss
22737
Where illness was diagnosed
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.
143
22737
1
Yes
143
2
No
0
Sysmiss
22737
Which medicines - 1
Primary female respondent
Which medicines?
All sick household members.
143
22737
1
Streptosin
16
2
Pyrazinamide
2
3
Ethambutol
22
4
Isoniazid
19
5
Rifampicin
4
8
1
9
79
Sysmiss
22737
Which medicines - 2
Primary female respondent
Which medicines?
All sick household members.
33
22847
1
Streptosin
2
2
Pyrazinamide
2
3
Ethambutol
10
4
Isoniazid
12
5
Rifampicin
6
9
1
Sysmiss
22847
Which medicines - 3
Primary female respondent
Which medicines?
All sick household members.
11
22869
1
Streptosin
2
2
Pyrazinamide
1
3
Ethambutol
3
4
Isoniazid
2
5
Rifampicin
3
Sysmiss
22869
Health Module
161
0
1
Yes
2
No
Household ID
Household ID
161
0
Respondent ID
Respondent ID
161
0
Day of interview
Date of Interview. Day.
161
0
Month of interview
Date of Interview. Month.
161
0
Year of interview
Date of Interview. Year.
161
0
Line number
Primary female respondent
All sick household members.
0
161
ID Code
Primary female respondent
ID Code
All sick household members.
161
0
Episode number
Primary female respondent
Episode number for [NAME]
All sick household members.
161
0
Date started (Month)
Primary female respondent
Date started. Month.
All sick household members.
161
0
Date started (Year)
Primary female respondent
Date started. Year.
All sick household members.
161
0
Length of episode - Time
Primary female respondent
Length of Episode.
All sick household members.
161
0
1
88
3.783
10.123
Length of episode - Unit
Primary female respondent
Length of Episode. Time Unit.
All sick household members.
161
0
1
Minutes
0
2
Hours
0
3
Days
28
4
Weeks
71
5
Months
60
6
Year
0
8
2
Where illness was diagnosed
Primary female respondent
Where was this illness diagnosed as typhoid?
All sick household members.
161
0
1
98
5.516
13.001
1
National Referral Hosp. (Kenyatta, Moi)
9
2
Government District/Provincial Hosp.
62
3
Mosoriot Rural Health Center
28
4
Government Health Center (exc. Mosoriot)
12
5
Government dispensary
9
6
Mission hospital/clinic
10
7
Other private hospital/clinic
16
8
Chemist/pharmacy
0
9
Private doctor (like priv. clinic)
11
10
Mobile clinic
0
11
Community health worker
0
12
Retail shop
0
13
Herbalist/traditional healer
1
14
Relative/friend
0
15
Other (specify)
0
98
Self
3
Where illness was diagnosed
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.
161
0
1
Yes
156
2
No
2
8
3
Which medicine - 1
Primary female respondent
Which medicines?
All sick household members.
159
2
1
Ampicillin
15
2
Amoxicillin
8
3
Septrin
5
4
Chloramphenicol
4
8
2
9
125
Sysmiss
2
Which medicine - 2
Primary female respondent
Which medicines?
All sick household members.
27
134
1
Ampicillin
2
2
Amoxicillin
8
3
Septrin
6
4
Chloramphenicol
11
Sysmiss
134
Which medicine - 3
Primary female respondent
Which medicines?
All sick household members.
7
154
1
Ampicillin
0
2
Amoxicillin
1
3
Septrin
3
4
Chloramphenicol
3
Sysmiss
154
Health Module
6
0
1
Yes
6
2
No
0
Household ID
Household ID
6
0
Respondent ID
Respondent ID
6
0
Day of interview
Date of Interview. Day.
6
0
Month of interview
Date of Interview. Month.
6
0
Year of interview
Date of Interview. Year.
6
0
Line number
Primary female respondent
All sick household members.
0
6
ID code
Primary female respondent
ID Code
All sick household members.
6
0
Episode number
Primary female respondent
Episode number for [NAME]
All sick household members.
6
0
Date started (Month)
Primary female respondent
Date started. Month.
All sick household members.
6
0
Date started (Year)
Primary female respondent
Date started. Year.
All sick household members.
6
0
Length of episode - Time
Primary female respondent
Length of Episode.
All sick household members.
6
0
1
4
1.5
1.225
Length of episode - Unit
Primary female respondent
Length of Episode. Time Unit.
All sick household members.
6
0
1
Minutes
0
2
Hours
0
3
Days
0
4
Weeks
1
5
Months
5
6
Year
0
Where illness was diagnosed
Primary female respondent
Where was this illness diagnosed as meningitis?
All sick household members.
6
0
1
National Referral Hosp. (Kenyatta, Moi)
2
2
Government District/Provincial Hosp.
3
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
1
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
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.
6
0
1
Yes
6
2
No
0
Which medicines - 1
Primary female respondent
Which medicines?
All sick household members.
6
0
1
Expen
0
2
Ampicillin
1
3
Chloramphenicol
0
4
Cefotaxine
0
9
5
Which medicines - 2
Primary female respondent
Which medicines?
All sick household members.
1
5
1
Expen
0
2
Ampicillin
0
3
Chloramphenicol
1
4
Cefotaxine
0
Sysmiss
5
Which medicines - 3
Primary female respondent
Which medicines?
All sick household members.
1
5
1
Expen
0
2
Ampicillin
0
3
Chloramphenicol
0
4
Cefotaxine
1
Sysmiss
5
Food consumption Module
41148
14859
1
Yes
41148
2
No
0
Sysmiss
14859
Household ID
Household ID
56007
0
Respondent ID
Respondent ID
56007
0
Day of interview
Date of Interview. Day.
41148
14859
Month of interview
Date of Interview. Month.
41148
14859
Year of interview
Date of Interview. Year.
41148
14859
Item code
Ask for all of the following crops/livestock.
56007
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)
Has members eaten any foods grown by household
In the past 4 weeks (since ____), have the members of your household eaten any foods grown by your household or any products from animals belonging to your household?
If answer is 2 > Go to section II (fcp01 - variable name in dataset).
41148
14859
1
Yes
37908
2
No
3240
Sysmiss
14859
HH members eaten
In the past 4 weeks, have members of your household eaten [ITEM] that was grown, kept, or produced by your household?
If answer is 2 > Go to next item.
37908
18099
1
Yes
6543
2
No
31324
8
5
9
36
Sysmiss
18099
HH members eaten (Specify)
736
0
How much entire hh consume (Quantity)
How much did the entire household consume in the past 4 weeks? Quantity.
6543
49464
50
150000
1978.97
5024.72
How much entire hh consume (Unit codes)
How much did the entire household consume in the past 4 weeks? Unit Codes.
6540
49467
1
Grams
27
2
Kilograms
562
3
Goro goros (2 Kgs.)
1445
4
Debbes
94
5
Litres
1183
6
Bunches
1735
7
Bags/Sacks
24
8
Pieces
1329
9
Tins
1
10
Dozens
83
11
Other (specify)
48
98
9
Sysmiss
49467
How much would it have cost to buy this total quantity? Value in KSh.
Go to next item.
6540
49467
1
15000
302.865
478.664
Purchased
In the past 4 weeks, have members of your household purchased [ITEM] for consumption by your household?
If answer is 2 > Go to next item.
29718
26289
1
Yes
8558
2
No
21132
8
2
9
26
Sysmiss
26289
Purchased (Specify)
575
0
How much purchased (Quantity)
How much did the entire household purchase in the past 4 weeks? Quantity.
8558
47449
25
50000
1128.615
4304.579
How much purchased (unit)
How much did the entire household purchase in the past 4 weeks? Unit.
8558
47449
1
98
5.343
3.696
1
Grams
73
2
Kilograms
1507
3
Goro goros (2 Kgs.)
1750
4
Debbes
49
5
Litres
20
6
Bunches
2468
7
Bags/Sacks
9
8
Pieces
2655
9
Tins
6
10
Dozens
3
11
Other (specify)
10
98
8
Sysmiss
47449
How much did it cost
How much did it cost to buy the total quantity they ate?
Go to next item.
8558
47449
1
4000
114.348
197.592
Purchased
In the past 4 weeks, have members of your household purchased [ITEM] for consumption by your household?
If answer is 2 > Go to next item.
26289
29718
1
Yes
7685
2
No
18547
8
34
9
23
Sysmiss
29718
Purchased (Specify)
17
0
How much purchased (Quantity)
How much did the entire household purchase in the past 4 weeks? Quantity.
7685
48322
50
250000
8577.899
18280.211
How much purchased (unit)
How much did the entire household purchase in the past 4 weeks? Unit.
7685
48322
1
98
3.121
3.36
1
Grams
1800
2
Kilograms
3968
3
Goro goros (2 Kgs.)
70
4
Debbes
2
5
Litres
431
6
Bunches
24
7
Bags/Sacks
0
8
Pieces
1240
9
Tins
69
10
Dozens
51
11
Other (specify)
26
98
4
Sysmiss
48322
How much did it cost
How much did it cost to buy the total quantity they ate?
Go to next item.
7685
48322
0
3600
190.219
208.107
Non-food module
45211
0
1
Yes
45211
2
No
0
Household ID
Household ID
45211
0
Respondent ID
Respondent ID
45211
0
Item code
Primary male and female respondent
I would like to ask you about non-food items you (and only you) may have purchased for you or anyone in your household in the past four weeks. Don't include items that were purchased for school.
45211
0
1
Adult clothing
2
Clothing for children under 12 (exclude school clothing)
3
Fabric or Cloth & Tailored clothes
4
Other clothing
5
Footwear (not for school)
6
Jewelry, watches, bracelets
7
Toys
8
Haircuts, hair dressing
9
Umbrellas, handbags, wallets
10
Food outside the home (at restaurants, bars, bought on street)
11
Beverages outside home
12
Tobacco, cigarettes
13
Toilet soap, washing
14
powder, toothpaste, etc.
15
Transportation
16
Bedding
17
Newspapers, books (not for school)
18
Kitchen utensils, pots & pans
19
Charcoal
20
Kerosene
21
Gas
22
Other fuel (specify)
23
Weddings/engagements (excluding gifts)
24
Funerals
25
Naming ceremonies
26
Circumcision ceremonies
27
Other ceremonies (excluding gifts)
28
Harambee (non-school)
29
Church contributions
30
Vacations/Holidays
31
Birthdays
Item code is created from an item list in the questionnaire.
Day of interview
Date of Interview. Day.
45211
0
Month of interview
Date of Interview. Month.
45211
0
Year of interview
Date of Interview. Year.
45211
0
Purchased
The primary male and female respondent.
In the past 4 weeks, have you purchased any [ITEM]?
34298
10913
1
Yes
8289
2
No
25998
8
11
Sysmiss
10913
How much spend
The primary male and female respondent.
How much in total did you spend on [ITEM] in the past 4 weeks?
8299
36912
1
10000
321.03
595.528
Spend any money
The primary male and female respondent.
If answer is 2 > Go to next.
10913
34298
1
Yes
1876
2
No
9036
8
1
Sysmiss
34298
How much spend
The primary male and female respondent.
How much in total did you spend on [EVENT]?
1877
43334
4
30000
275.195
1086.223
Assets module
1139
0
1
Yes
1139
2
No
0
Household ID
Household ID
1139
0
Respondent ID
Respondent ID
1139
0
Day of interview
Date of Interview. Day.
1139
0
Month of interview
Date of Interview. Month.
1139
0
Year of interview
Date of Interview. Year.
1139
0
Round 1day of interveiw
Date of Round 1 interview: Day.
1138
1
Round 1 month of interview
Date of Round 1 interview: Month.
1138
1
Round 1 year of interview
Date of Round 1 interview: Year.
1138
1
Has anyone sold land since Jan 2000
Primary male respondent
Have you or anyone in your household sold any land since [Round 1]?
If answer is 2 > Go to section I-b (Land Gifts to Others)(ass16 - variable name in dataset).
1139
0
1
Yes
44
2
No
1095
Count of land sales
44
1095
1
4
1.182
0.54
Count of land purchases
77
1062
1
2
1.065
0.248
Have purchased or acquired land since Jan 2000
Primary male respondent
Have you or anyone in your household purchased or acquired any land since [Round 1]?
If answer is 2 > Go to section II (assl04 - variable name in dataset).
1139
0
1
Yes
77
2
No
1062
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 1]?
If answer is 2 > Go to section II-b (Acquisitions)(assl10 - variable name in dataset).
1139
0
1
Yes
376
2
No
763
Count of livestock sales
376
763
1
5
1.41
0.768
Have purchased or aquired livestock
Primary male respondent
Have you or anyone in your household purchased or acquired any livestock since [Round 1]?
IF answer is 2 > Go to section III (assfe06 - variable name in dataset).
1139
0
1
Yes
490
2
No
649
Count of livestock purchased
Primary male respondent
490
649
1
5
1.408
0.73
Have sold or given as a gift farm equipments
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 1]?
If answer is 2 > Go to section IV-b (Acquisitions)(asse12 - variable name in dataset).
1139
0
1
Yes
4
2
No
1135
Count of equipment sold
Primary male respondent
4
1135
1
1
1
0
Have purchased tractor, trailer... since Jan 2000
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 1]?
If answer is 2 > Go to section V (assets_V - name of dataset).
1139
0
1
Yes
13
2
No
1126
Count of purchased equipment
Primary male respondent
13
1126
1
2
1.077
0.277
Sold or given as agift a vehicle
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 1]?
If answer is 2 > Go to section VI-b (Acquisitions)(assv11 - variable name in dataset).
1139
0
1
Yes
30
2
No
1109
Count of vehicle sales
Primary male respondent
30
1109
1
1
1
0
Have purchased a vehicle since Jan 2000
Primary male respondent
Have you or members of your household purchased or acquired a vehicle (such as a car, bicycle, etc) since [Round 1]?
If answer is 2 > End.
1139
0
1
Yes
76
2
No
1063
Count of vehicle
76
1063
1
2
1.026
0.161
Assets module
52
0
1
Yes
52
2
No
0
Household ID
Household ID
52
0
Respondent ID
Respondent ID
52
0
Day of interview
Date of Interview. Day.
52
0
Month of interview
Date of Interview. Month.
52
0
Year of interview
Date of Interview. Year.
52
0
Round 1day of interveiw
Date of Round 1 interview. Day.
52
0
Round 1 month of interview
Date of Round 1 interview. Month.
52
0
Round 1 year of interview
Date of Round 1 interview. Year.
52
0
List number
Please describe all the land sales by you or someone in your household since [Round 1].
52
0
Unit
0
52
Month of the sale
Primary male respondent
When was this sale made? Month.
52
0
Year of the sale
Primary male respondent
When was this sale made? Year.
52
0
How much land sold - Quantity
Primary male respondent
How much land did you sell how much money was it sold for? Land Quantity.
52
0
10
40480
863.846
5603.599
How much land sold - Unit
Primary male respondent
How much land did you sell how much money was it sold for? Unit code.
52
0
1
Acres
51
2
Hectares
0
3
Sq. meters
1
4
Sq. feet
0
How much land sold - Total sale price
Primary male respondent
How much land did you sell how much money was it sold for? Total sale price.
52
0
99
1500000
112274.942
265653.968
Money share with persons - Amount
Primary male respondent
How much of this money did you share with persons outside of the household? Amount.
47
5
0
8000
327.489
1532.245
Money share with persons - IRID
Primary male respondent
How much of this money did you share with persons outside of the household? IRID code.
2
0
Why sold the land
Primary male respondent
Why did you sell this land?
52
0
1
Health expenses
20
2
School fees
8
3
Buy/invest in a business
9
4
Raise money for planting season
1
5
Wedding or other ceremony
0
6
Other (specify)
13
9
1
Why sold the land (Other)
Why did you sell this land? Other (specify).
13
0
Assets module
82
0
1
Yes
82
2
No
0
Household ID
Household ID
82
0
Respondent ID
Respondent ID
82
0
Day of interview
Date of Interview. Day.
82
0
Month of interview
Date of Interview. Month.
82
0
Year of interview
Date of Interview. Year.
82
0
Round 1day of interveiw
Date of Round 1 interview. Day.
82
0
Round 1 month of interview
Date of Round 1 interview. Month.
82
0
Round 1 year of interview
Date of Round 1 interview. Year.
82
0
List number
Please describe all the land purchases or acquisitions (including gifts and inheritances) by you or someone in your household since [Round 1].
82
0
Unit
0
82
Month when got the plot
Primary male respondent
When did you get this plot or piece of land? Month.
Probe for exact month.
82
0
Year when got the plot
Primary male respondent
When did you get this plot or piece of land? Year.
Year should be 2004.
82
0
How aquired the land
Primary male respondent
How did you acquire this land?
If answer is 3, 4 or 5 > Go to next purchase.
82
0
1
Bought with cash
51
2
Bought on credit
2
3
Gift
0
4
Inherited
29
5
Other (specify)
0
How aquired the land (Other)
Primary male respondent
How did you acquire this land? Other (specify).
0
0
How much land got - Quantity
Primary male respondent
How much land did you get and how much did you pay for this land? Land Qty.
54
28
10
99700
3440.185
17300.767
How much land got - Unit
Primary male respondent
How much land did you get and how much did you pay for this land? Land Unit code.
54
28
1
Acres
52
2
Hectares
0
3
Sq. meters
1
4
Sq. feet
1
Sysmiss
28
How much land got - Total purchase
Primary male respondent
How much land did you get and how much did you pay for this land? Total purchase price.
53
29
99
1000000
109898.094
158370.788
Amount that remains to be paid
Primary male respondent
How much of this amount remains to be paid? Amount in KSh.
53
29
0
120000
4509.434
19091.503
Anyone outside HH helped in paying
Primary male respondent
Did anyone outside of your household help you pay for this land?
If answer is 2 > Go to next purchase/acquisition.
53
29
1
Yes
6
2
No
47
Sysmiss
29
Who helped to pay - Amount
Primary male respondent
Who helped you pay for this land, and how much money did they give? Amt 1.
6
76
99
45000
12516.5
16607.427
Who helped to pay - IRID
Primary male respondent
Who helped you pay for this land, and how much money did they give? IRID 1.
6
0
Who helped to pay - Amount
Primary male respondent
Who helped you pay for this land, and how much money did they give? Amt 2.
5
77
0
99
59
53.861
Who helped to pay - IRID
Primary male respondent
Who helped you pay for this land, and how much money did they give? IRID 2.
1
0
Have to pay them anything
Primary male respondent
Do you have to pay them anything on account of this assistance?
If answer is 2 > Go to next purchase/acquisition.
6
76
1
Yes
1
2
No
5
Sysmiss
76
Value of the money that have to pay
Primary male respondent
What is the value of the money and harvests that you have to pay them? Amount in KSh.
1
81
10000
10000
10000
Assets module
530
0
1
Yes
530
2
No
0
Household ID
Household ID
530
0
Respondent ID
Respondent ID
530
0
Day of interview
Date of Interview. Day.
530
0
Month of interview
Date of Interview. Month.
530
0
Year of interview
Date of Interview. Year.
530
0
Round 1day of interveiw
Date of Round 1 interview. Day.
530
0
Round 1 month of interview
Date of Round 1 interview. Month.
530
0
Round 1 year of interview
Date of Round 1 interview. Year.
530
0
Livestock code
Primary male respondent
Please describe each livestock sale and gift by you or someone in your household since [Round 1].
1
529
1
Cattle, including cows
1
2
Calves
0
3
Goats
0
4
Sheep
0
5
Pigs
0
6
Chickens
0
7
Other animals (specify)
0
Sysmiss
529
Livestock code
Primary male respondent
Livestock Code
530
0
1
Cattle, including cows
260
2
Calves
51
3
Goats
15
4
Sheep
102
5
Pigs
0
6
Chickens
102
7
Other animals (specify)
0
When was the sale - Month
Primary male respondent
When was this sale or gift? Month.
Probe for exact month.
530
0
When was the sale - Year
Primary male respondent
When was this sale or gift? Year.
Year should be 2004.
530
0
Quantity of livestock sold - Quantity
Primary male respondent
What was the quantity of [LIVESTOCK] sold and how much did you get in total? Quantity sold/gifted.
530
0
1
99
2.155
4.67
Quantity of livestock sold - Amount
Primary male respondent
What was the quantity of [LIVESTOCK] sold and how much did you get in total?Total sale amount.
Go to next sale/gift.]]>
530
0
0
95000
8816.038
11006.07
Share money with anyone outside HH
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).
529
1
1
Yes
15
2
No
509
8
5
Sysmiss
1
Amount that went to someone - Amount
Primary male respondent
How much of this amount went to someone else outside of your household? Amt.
15
515
98
27000
3836.4
6907.564
Amount that went to someone - IRID
Primary male respondent
How much of this amount went to someone else outside of your household? IRID.
13
0
Amount that went to someone - Amount
Primary male respondent
How much of this amount went to someone else outside of your household? Amt.
11
519
0
3200
290.909
964.836
Amount that went to someone - IRID
Primary male respondent
How much of this amount went to someone else outside of your household? IRID.
1
0
Amount that went to someone - Amount
Primary male respondent
How much of this amount went to someone else outside of your household? Amt.
0
530
Sysmiss
530
Amount that went to someone - IRID
Primary male respondent
How much of this amount went to someone else outside of your household? IRID.
0
0
Why sold the livestock
Primary male respondent
Why did you sell this [LIVESTOCK]?
529
1
1
Health expenses
124
2
School fees
128
3
Buy/invest in a business
67
4
Raise money for planting season
32
5
Wedding or other ceremony
10
6
Other (specify)
164
8
3
9
1
Sysmiss
1
Why sold the livestock (Other)
Primary male respondent
Why did you sell this [LIVESTOCK]? Other (specify).
164
0
Assets module
690
0
1
Yes
690
2
No
0
Household ID
Household ID
690
0
Respondent ID
Respondent ID
690
0
Day of interview
Date of Interview. Day.
690
0
Month of interview
Date of Interview. Month.
690
0
Year of interview
Date of Interview. Year.
690
0
Round 1day of interveiw
Date of Round 1 interview. Day.
690
0
Round 1 month of interview
Date of Round 1 interview. Month.
690
0
Round 1 year of interview
Date of Round 1 interview. Year.
690
0
Livestock code
Primary male respondent
Please describe each livestock purchases or acquisition by you or someone in your household since [Round 1].
Livestock Code
1
689
1
Cattle, including cows
1
2
Calves
0
3
Goats
0
4
Sheep
0
5
Pigs
0
6
Chickens
0
7
Other animals (specify)
0
Sysmiss
689
Livestock code
Primary male respondent
Please describe each livestock purchases or acquisition by you or someone in your household since [Round 1].
Livestock Code
690
0
1
Cattle, including cows
132
2
Calves
393
3
Goats
19
4
Sheep
101
5
Pigs
0
6
Chickens
44
7
Other animals (specify)
1
When was the purchase - Month
Primary male respondent
When was this acquisition? Month.
690
0
When was the purchase - Year
Primary male respondent
When was this acquisition? Year.
690
0
How aquired the livestock
Primary male respondent
How did you acquire this [LIVESTOCK]?
If answer is 2 or 3 > Go to next purchase.
690
0
1
Bought or borrowed
255
2
Gift
9
3
Inherited
0
4
Other (specify)
426
How aquired the livestock (Other)
Primary male respondent
How did you acquire this [LIVESTOCK]? Other (specify).
426
0
Quantity of livestock purchased - Quantity
Primary male respondent
What was the quantity of [LIVESTOCK] purchased/gifted and how much did you pay in total? Quantity purchased/gifted.
636
54
0
98
4.369
16.891
Quantity of livestock purchased - Amount
Primary male respondent
What was the quantity of [LIVESTOCK] purchased/gifted and how much did you pay in total? Total amount paid.
470
220
0
140000
3872.026
10068.125
Anyone outside HH help to pay - Amount
Primary male respondent
Did anyone outside of your household help you pay? Amt.
444
246
0
13000
96.842
689.016
Anyone outside HH help to pay - IRID
Primary male respondent
Did anyone outside of your household help you pay? IRID.
10
0
Anyone outside HH help to pay - Amount
Primary male respondent
Did anyone outside of your household help you pay? Amt.
7
683
0
7
Sysmiss
683
Anyone outside HH help to pay - IRID
Primary male respondent
Did anyone outside of your household help you pay? IRID.
0
0
Anyone outside HH help to pay - Amount
Primary male respondent
Did anyone outside of your household help you pay? Amt.
1
689
0
1
Sysmiss
689
Anyone outside HH help to pay - IRID
Primary male respondent
Did anyone outside of your household help you pay? IRID.
0
0
Assets module
4
0
1
Yes
4
2
No
0
Household ID
Household ID
4
0
Respondent ID
Respondent ID
4
0
Day of interview
Date of Interview. Day.
4
0
Month of interview
Date of Interview. Month.
4
0
Year of interview
Date of Interview. Year.
4
0
Round 1day of interveiw
Date of Round 1 interview. Day.
4
0
Round 1 month of interview
Date of Round 1 interview. Month.
4
0
Round 1 year of interview
Date of Round 1 interview. Year.
4
0
Equipment code
Primary male respondent
Equipment code
0
4
1
Tractors
0
2
Trailers
0
3
Ploughs
0
4
Carts
0
5
Other animal drawn equipment
0
6
Watering equipment/sprinklers
0
7
Wheelbarrows
0
8
Chain saws
0
9
Other equipment/implements (specify)
0
Sysmiss
4
Equipment code
Primary male respondent
Please describe each equipment sale or gift by you or someone in your household since [Round 1].
Equipment code
4
0
1
Tractors
2
2
Trailers
1
3
Ploughs
0
4
Carts
0
5
Other animal drawn equipment
0
6
Watering equipment/sprinklers
0
7
Wheelbarrows
0
8
Chain saws
0
9
Other equipment/implements (specify)
1
When was the sale - Month
Primary male respondent
When was this sale or gift? Month.
4
0
When was the sale - Year
Primary male respondent
When was this sale or gift? Year.
4
0
How much sold the equipment
Primary male respondent
How much did you sell this … for? Amount.
If answer is 0 > Go to 11.
4
0
20000
250000
150000
118039.541
Share money with anyone outside HH
Primary male respondent
Did you share this money with anyone outside of the household?
If answer is 2 > Go to 11.
4
0
1
Yes
0
2
No
4
How much went to someone - Amount
Primary male respondent
How much of this amount went to someone else outside of your household? Amt.
0
4
How much went to someone - IRID
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
Primary male respondent
How much of this amount went to someone else outside of your household? Amt.
0
4
How much went to someone - IRID
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
Primary male respondent
How much of this amount went to someone else outside of your household? Amt.
0
4
How much went to someone - IRID
Primary male respondent
How much of this amount went to someone else outside of your household? IRID.
0
0
Why sold the equipement
Primary male respondent
Why did you sell this equipment?
4
0
1
Health expenses
0
2
School fees
1
3
Buy/invest in a business
2
4
Raise money for planting season
0
5
Wedding or other ceremony
0
6
Other (specify)
1
Why sold the equipement (Other)
Primary male respondent
Why did you sell this equipment? Other (specify).
1
0
Assets module
14
0
1
Yes
14
2
No
0
Household ID
Household ID
14
0
Respondent ID
Respondent ID
14
0
Day of interview
Date of Interview. Day.
14
0
Month of interview
Date of Interview. Month.
14
0
Year of interview
Date of Interview. Year.
14
0
Round 1day of interveiw
Date of Round 1 interview. Day.
14
0
Round 1 month of interview
Date of Round 1 interview. Month.
14
0
Round 1 year of interview
Date of Round 1 interview. Year.
14
0
Equipment code
Primary male respondent
Please describe each equipment purchase or gift to you or someone in your household since [Round 1].
Equipment code
0
14
Sysmiss
14
Equipment code
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
6
3
5
9
3
When was the acquisition - Month
Primary male respondent
When was this acquisition? Month.
14
0
When was the acquisition - Year
Primary male respondent
When was this acquisition? Year.
14
0
How aqcuired the equipment
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)
Primary male respondent
How did you acquire this equipment? Other (specify).
0
0
Quantity of equipment purchased - Quantity
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
Primary male respondent
What was the quantity of equipment purchased/gifted and how much did you pay in total? Total amount paid.
14
0
4500
590000
162321.429
187443.695
Anyone outside HH help to pay - Amount
Primary male respondent
Did anyone outside of your household help you pay? Amt.
14
0
0
70000
7285.714
19730.603
Anyone outside HH help to pay - IRID
Primary male respondent
Did anyone outside of your household help you pay? IRID.
3
0
Anyone outside HH help to pay - Amount
Primary male respondent
Did anyone outside of your household help you pay? Amt.
1
13
0
0
0
Anyone outside HH help to pay - IRID
Primary male respondent
Did anyone outside of your household help you pay? IRID.
0
0
Anyone outside HH help to pay - Amount
Primary male respondent
Did anyone outside of your household help you pay? Amt.
0
14
Anyone outside HH help to pay - IRID
Primary male respondent
Did anyone outside of your household help you pay? IRID.
0
0
Assets module
11390
0
1
Yes
11390
2
No
0
Household ID
Household ID
11390
0
1692.234
Respondent ID
Respondent ID
11390
0
1.299
Day of interview
Date of Interview. Day.
11390
0
15.516
Month of interview
Date of Interview. Month.
11390
0
6.965
Year of interview
Date of Interview. Year.
11390
0
2004.473
Round 1day of interveiw
Date of Round 1 interview. Day.
11380
10
42.049
Round 1 month of interview
Date of Round 1 interview. Month.
11380
10
34.919
Round 1 year of interview
Date of Round 1 interview. Year.
11380
10
1960.458
Item
Primary male respondent
ITEMS
11390
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
Code is created from an item list in the questionnaire.
How many currently own
Primary male respondent
How many [ITEMS] do members of your household currently own?
11390
0
0
98
0.296
1.129
Total value
Primary male respondent
What is the total value of all the [ITEMS] if you were to sell them today?
2342
9048
15
99999
3285.641
5871.014
Assets module
30
0
1
Yes
30
2
No
0
Household ID
Household ID
30
0
Respondent ID
Respondent ID
30
0
Day of interview
Date of Interview. Day.
30
0
Month of interview
Date of Interview. Month.
30
0
Year of interview
Date of Interview. Year.
30
0
Round 1day of interveiw
Date of Round 1 interview. Day.
30
0
Round 1 month of interview
Date of Round 1 interview. Month.
30
0
Round 1 year of interview
Date of Round 1 interview. Year.
30
0
Line number
Primary male respondent
Please describe each vehicle sale or gift by you or someone in your household since [Round 1].
0
30
Vehicle code
Primary male respondent
Vehicle code
30
0
1
Car/pickup
5
2
Truck
0
3
Motorcycle
1
4
Matatu/business vehicle
1
5
Bicycle
23
6
Other (specify)
0
When was the sale - Month
Primary male respondent
When was this sale or gift? Month.
Ask for exact month.
30
0
When was the sale - Year
Primary male respondent
When was this sale or gift? Year.
30
0
How much did you sell
Primary male respondent
How much did you sell this … for?
If answer is 0 > Go to 10 (assv10 - variable name in dataset).
If gift, put zero.
30
0
0
200000
19780
42374.565
Shared money with anyone outside HH
Primary male respondent
Did you share this money with anyone outside of the household?
If answer is 2 > Go to 10.
29
1
1
Yes
2
2
No
27
Sysmiss
1
How much went to someone - Amount
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
28
20000
20000
20000
0
How much went to someone - IRID
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
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
28
0
20000
10000
14142.136
How much went to someone - IRID
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
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
29
0
0
0
How much went to someone - IRID
Primary male respondent
How much of this amount went to someone else outside of your household? IRID.
0
0
Why sold the vehicle
Primary male respondent
Why did you sell this vehicle?
30
0
1
Health expenses
9
2
School fees
3
3
Buy/invest in a business
6
4
Raise money for planting season
2
5
Wedding or other ceremony
0
6
Other (specify)
10
Why sold the vehicle (Other)
Primary male respondent
Why did you sell this vehicle? Other (specify).
10
0
Assets module
78
0
1
Yes
2
No
Household ID
Household ID
78
0
Respondent ID
Respondent ID
78
0
Day of interview
Date of Interview. Day.
78
0
Month of interview
Date of Interview. Month.
78
0
Year of interview
Date of Interview. Year.
78
0
Round 1day of interveiw
Date of Round 1 interview. Day.
78
0
Round 1 month of interview
Date of Round 1 interview. Month.
78
0
Round 1 year of interview
Date of Round 1 interview. Year.
78
0
Vehicle code
Primary male respondent
Please describe each vehicle purchase or gift to you or someone in your household since [Round 1].
0
78
Sysmiss
78
Vehicle code
Primary male respondent
Vehicle code
78
0
1
Car/pickup
5
2
Truck
1
3
Motorcycle
1
4
Matatu/business vehicle
1
5
Bicycle
70
6
Other (specify)
0
When was the acquisition - Month
Primary male respondent
When was this acquisition? Month.
78
0
When was the acquisition - Year
Primary male respondent
When was this acquisition? Year.
78
0
How many vehicles were acquired - Quantity
Primary male respondent
How many [vehicles] were acquired and how much did was paid in total? Quantity.
78
0
1
2
1.013
0.113
How many vehicles were acquired - Total value
Primary male respondent
How many [vehicles] were acquired and how much did was paid in total? Total value.
78
0
99
700000
34755.744
115613.566
How acquired the vehicle
Primary male respondent
How did you acquire this vehicle?
If answer is 2 or 3 > Go to next purchase.
78
0
1
Bought or borrowed
77
2
Gift
1
3
Inherited
0
4
Other (specify)
0
How acquired the vehicle (Other)
Primary male respondent
How did you acquire this vehicle? Other (specify).
0
0
Anyone outside help to pay - Amount
Primary male respondent
Did anyone outside of your household help you pay? Amt.
71
7
0
4000
119.718
612.167
Anyone outside help to pay - IRID
Primary male respondent
Did anyone outside of your household help you pay? IRID.
3
0
Anyone outside help to pay - Amount
Primary male respondent
Did anyone outside of your household help you pay? Amt.
2
76
0
0
0
0
Anyone outside help to pay - IRID
Primary male respondent
Did anyone outside of your household help you pay? IRID.
0
0
Anyone outside help to pay - Amount
Primary male respondent
Did anyone outside of your household help you pay? Amt.
0
78
Anyone outside help to pay - IRID
Primary male respondent
Did anyone outside of your household help you pay? IRID.
0
0
Household ID
Household ID
5250
0
Respondent ID
Respondent ID
5250
0
Income module done
5250
0
1
Yes
5250
2
No
0
Day of interview
Date of Interview. Day.
5250
0
Month of interview
Date of Interview. Month.
5250
0
Year of interview
Date of Interview. Year.
5250
0
Count of section A
5225
25
Line number
Primary male respondent
All household members 8 years and older
21
5229
1
4
2
4
3
4
4
4
5
1
6
1
7
1
8
1
9
1
Sysmiss
5229
ID code - Income module
Primary male respondent
ID Code
List the ID codes of all household members 8 years and older.
All household members 8 years and older
5250
0
1
24
3.661
2.582
1
1125
2
1047
3
813
4
663
5
530
6
396
7
258
8
162
9
99
10
46
11
39
12
26
13
14
14
7
15
10
16
7
17
4
18
2
19
1
24
1
During past 7 day worked for someone who is not a member
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
5225
25
1
Yes
841
2
No
4372
8
2
9
10
Sysmiss
25
During past 6 months worked for someone who is not member
Primary male respondent
During the past 12 months, has [NAME] worked for someone who is not a member of your household, for example, an employer, a firm, the government or some other person outside of your household?
All household members 8 years and older
4377
873
1
Yes
486
2
No
3858
8
30
9
3
Sysmiss
873
During past 7 days worked on field belonging to someone
Primary male respondent
If answer is 1 > Go to 6 (in06 - variable name in dataset).
All household members 8 years and older
5225
25
1
Yes
3800
2
No
1406
8
3
9
16
Sysmiss
25
During past 6 months worked on field belonging to someone
Primary male respondent
During the past 12 months, has [NAME] worked in a field or garden belonging to someone in your household, or has [NAME] raised livestock?
All household members 8 years and older
1421
3829
1
Yes
1003
2
No
404
8
11
9
3
Sysmiss
3829
During past 7 days done non-farm work
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
5225
25
1
Yes
546
2
No
4664
8
4
9
11
Sysmiss
25
During past 6 months done non-farm work
Primary male respondent
Go to next person.
All household members 8 years and older
4679
571
1
Yes
177
2
No
4446
8
51
9
5
Sysmiss
571
Count of section B
838
4412
1
6
1.883
1.126
Line number
1
5249
ID Code
ID Code
List ID Codes for all who worked as an EMPLOYE E in the past 7 days – YES to Sec. A, Question 2.
838
4412
What did do for this work
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.
838
4412
1
Crop farmer
17
2
Animal farmer
4
3
Housewife
0
4
Trader/merchant/salesperson
17
5
Transport worker
57
6
Construction worker
26
7
Teacher/education professional
73
8
Health professional/TBA/trad. Healer
5
9
Secretary/clerical
28
10
Factory worker
14
11
Restaurant/bar/hotel
26
12
Skilled trades (carpenter, tailor, etc.)
31
13
Preacher/pastor
6
14
Village elder
0
15
Domestic worker
41
16
Civil Servant/Government
73
17
Other (specify)
420
88
No activity/unemployed
0
99
Don’t Know
0
Sysmiss
4412
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 household members 8 years and older who worked as an EMPLOYEE in the past 7 days.
418
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 household members 8 years and older who worked as an EMPLOYEE in the past 7 days.
831
4419
0
99
38.176
25.699
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 household members 8 years and older who worked as an EMPLOYEE in the past 7 days.
810
4440
1
Yes
590
2
No
183
8
14
9
23
Sysmiss
4440
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 household members 8 years and older who worked as an EMPLOYEE in the past 7 days.
200
5050
1
98
13.95
25.791
1
Own illness
25
2
Illness of family member
3
3
Overtime due to illness of other employee
0
4
Other overtime
8
5
Public or religious holiday
20
6
Vacation
26
7
Funeral/mourning period
3
8
Other (specify)
98
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 household members 8 years and older who worked as an EMPLOYEE in the past 7 days.
98
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 household members 8 years and older who worked as an EMPLOYEE in the past 7 days.
211
5039
0
99
53.114
26.035
How many weeks during past 6 months did work
The primary male respondent.
For how many weeks during the past 12 months did [NAME] do this work? [Number of weeks]
All household members 8 years and older who worked as an EMPLOYEE in the past 7 days.
830
4420
0
99
20.873
14.041
What type of employer did work for
The primary male respondent.
All household members 8 years and older who worked as an EMPLOYEE in the past 7 days.
831
4419
1
Govt./parastatal
163
2
Private employer
663
3
Cooperative union
2
4
NGO
0
5
Other (specify)
2
8
1
Sysmiss
4419
Is position temporary or permanent
The primary male respondent.
Is [NAME’s] position temporary or permanent?
All household members 8 years and older who worked as an EMPLOYEE in the past 7 days.
831
4419
1
Temporary
614
2
Permanent
215
8
1
9
1
Sysmiss
4419
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 household members 8 years and older who worked as an EMPLOYEE in the past 7 days.
831
4419
1
Yes
814
2
No
14
8
2
9
1
Sysmiss
4419
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 household members 8 years and older who worked as an EMPLOYEE in the past 7 days.
817
4433
0
70000
3560.972
6178.534
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 household members 8 years and older who worked as an EMPLOYEE in the past 7 days.
831
4419
1
Yes
168
2
No
654
9
9
Sysmiss
4419
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 household members 8 years and older who worked as an EMPLOYEE in the past 7 days.
173
5077
98
33000
2832.445
3692.961
Has worked as an employ at any job in past 7 days
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 household members 8 years and older who worked as an EMPLOYEE in the past 7 days.
831
4419
1
Yes
19
2
No
782
8
27
9
3
Sysmiss
4419
Count of Section C
3812
1438
Line number
Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days.
16
5234
ID code
ID Code
List ID Codes for all who say YES to Sec. A, Question 4.
Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days.
3812
1438
Past 7 days worked on hhold shamba
The primary male respondent.
In the past 7 days (since last ____) has [NAME] worked on any of your household's shambas/gardens (e.g., ploughing, planting, weeding, harvesting) or prepared crops for sale or home consumption (e.g., drying maize)?
If answer is 2 > Go to 7 (se07 - variable name in dataset).
Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days.
3812
1438
1
Yes
2807
2
No
1004
9
1
Sysmiss
1438
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.
2807
2443
0
99
10.103
10.696
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?
Probe for time spent on brewing.
Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days.
2805
2445
0
99
2.732
11.891
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?
Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days.
2804
2446
1
98
3.543
7.211
1
Maize
2212
2
Wheat
0
3
Millet or sorghum
5
4
Rice
0
5
Beans, peas, cowpeas, other pulses
101
6
Cabbage
33
7
Sukuma wiki
220
8
Spinach
5
9
Yams or Sweet potatoes
2
10
Irish potatoes
36
11
Cassava
2
12
Groundnuts
0
13
Sunflower seeds
0
14
Tomatoes
18
15
Onions, leeks
4
16
Eggplant
0
17
Carrots
1
18
Capsicums/Green Peppers
0
19
Chillies
0
20
Coffee
0
21
Tea
82
22
Tobacco
2
23
Cotton
0
24
Lumber, wood
1
25
Oil palm/palm oil
0
26
Honey or Sugarcane
0
27
Avocado
0
28
Bananas
1
29
Mangoes
0
30
Oranges/Citrus fruits
0
31
Pineapple
0
32
Sugarcane
0
33
Other fruits (specify)
0
34
Other vegetables (specify)
76
98
3
Sysmiss
2446
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?
Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days.
1718
3532
1
34
10.696
10.549
1
Maize
96
2
Wheat
5
3
Millet or sorghum
20
4
Rice
0
5
Beans, peas, cowpeas, other pulses
741
6
Cabbage
62
7
Sukuma wiki
323
8
Spinach
14
9
Yams or Sweet potatoes
5
10
Irish potatoes
83
11
Cassava
3
12
Groundnuts
0
13
Sunflower seeds
0
14
Tomatoes
31
15
Onions, leeks
19
16
Eggplant
0
17
Carrots
0
18
Capsicums/Green Peppers
0
19
Chillies
0
20
Coffee
3
21
Tea
28
22
Tobacco
3
23
Cotton
0
24
Lumber, wood
0
25
Oil palm/palm oil
0
26
Honey or Sugarcane
0
27
Avocado
0
28
Bananas
25
29
Mangoes
0
30
Oranges/Citrus fruits
3
31
Pineapple
0
32
Sugarcane
4
33
Other fruits (specify)
0
34
Other vegetables (specify)
250
Sysmiss
3532
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?
Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days.
480
4770
1
34
16.2
12.781
1
Maize
23
2
Wheat
0
3
Millet or sorghum
7
4
Rice
0
5
Beans, peas, cowpeas, other pulses
59
6
Cabbage
35
7
Sukuma wiki
122
8
Spinach
1
9
Yams or Sweet potatoes
6
10
Irish potatoes
31
11
Cassava
1
12
Groundnuts
1
13
Sunflower seeds
0
14
Tomatoes
11
15
Onions, leeks
6
16
Eggplant
0
17
Carrots
0
18
Capsicums/Green Peppers
0
19
Chillies
0
20
Coffee
0
21
Tea
11
22
Tobacco
0
23
Cotton
0
24
Lumber, wood
0
25
Oil palm/palm oil
0
26
Honey or Sugarcane
0
27
Avocado
0
28
Bananas
23
29
Mangoes
0
30
Oranges/Citrus fruits
0
31
Pineapple
0
32
Sugarcane
1
33
Other fruits (specify)
1
34
Other vegetables (specify)
141
Sysmiss
4770
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?
Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days.
89
5161
1
34
17.404
12.016
1
Maize
3
2
Wheat
0
3
Millet or sorghum
1
4
Rice
0
5
Beans, peas, cowpeas, other pulses
9
6
Cabbage
6
7
Sukuma wiki
13
8
Spinach
2
9
Yams or Sweet potatoes
0
10
Irish potatoes
5
11
Cassava
1
12
Groundnuts
0
13
Sunflower seeds
0
14
Tomatoes
7
15
Onions, leeks
6
16
Eggplant
0
17
Carrots
2
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
0
28
Bananas
2
29
Mangoes
0
30
Oranges/Citrus fruits
0
31
Pineapple
1
32
Sugarcane
2
33
Other fruits (specify)
0
34
Other vegetables (specify)
24
Sysmiss
5161
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?
Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days.
466
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.
Probe for income from brewing.
Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days.
2806
2444
0
420000
666.827
10557.07
Spent any time caring for animals in past 7 days
The primary male respondent.
In the past 7 days, has [NAME] spent any time caring for animals belonging to your household?
If answer is 2 > Confirm that answer to 2 is Yes and go to next person.
Household members 8 years and older who worked on a field or garden belonging to someone in the household, or has raised livestock during the past 7 days.
3811
1439
1
Yes
3188
2
No
608
8
14
9
1
Sysmiss
1439
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.
3203
2047
0
99
8.793
10.133
How many hours spend collecting products of aniumals 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.
3202
2048
0
99
1.308
5.797
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.
3203
2047
0
29250
338.051
1326.264
Count of Section D
542
4708
1
4
1.432
0.588
Line number
I would like to ask you some questions about the work your household members did in the past 7 days (since last…) in their own business or in your household's business.
3
5247
ID Code
ID Code
542
4708
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?
542
4708
4
98
5.572
5.276
1
Crop farmer
0
2
Animal farmer
0
3
Housewife
0
4
Trader/merchant/salesperson
450
5
Transport worker
9
6
Construction worker
4
7
Teacher/education professional
0
8
Health professional/TBA/trad. Healer
1
9
Secretary/clerical
0
10
Factory worker
0
11
Restaurant/bar/hotel
9
12
Skilled trades (carpenter, tailor, etc.)
42
13
Preacher/pastor
0
14
Village elder
0
15
Domestic worker
0
16
Civil Servant/Government
0
17
Other (specify)
26
88
No activity/unemployed
0
98
1
99
Don’t Know
0
Sysmiss
4708
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).
26
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.
542
4708
1
99
29.681
19.822
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).
537
4713
1
Yes
468
2
No
65
8
1
9
3
Sysmiss
4713
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.
70
5180
6
99
44.529
26.133
How many weeks during 6 months did work
The primary male respondent.
For how many weeks during the past 12 months did [NAME] do this work? Number of weeks.
542
4708
0
99
23.939
12.944
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.
542
4708
0
50000
3090.869
4714.556
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.
542
4708
1
Yes
27
2
No
512
8
3
Sysmiss
4708
Count of Section E1
3527
1723
1
15
5.966
2.541
Line number
All household members 8 years and older.
21
5229
ID code
ID Code
All household members 8 years and older.
3527
1723
What did in main job in past 6 months
The primary male respondent.
What did [NAME] do in his/her main job or activity in the past 6 months? What did [NAME] do in this work?
If answer is 3 or 88 > Go to next person.
All household members 8 years and older.
3527
1723
1
99
42.464
41.855
1
Crop farmer
798
2
Animal farmer
316
3
Housewife
150
4
Trader/merchant/salesperson
194
5
Transport worker
52
6
Construction worker
23
7
Teacher/education professional
63
8
Health professional/TBA/trad. Healer
5
9
Secretary/clerical
13
10
Factory worker
11
11
Restaurant/bar/hotel
26
12
Skilled trades (carpenter, tailor, etc.)
36
13
Preacher/pastor
4
14
Village elder
1
15
Domestic worker
25
16
Civil Servant/Government
51
17
Other (specify)
152
88
Student
1604
99
Don’t Know
3
Sysmiss
1723
What did in main job in past 6 months (Other)
The primary male respondent.
What did [NAME] do in his/her main job or activity in the past 6 months? What did [NAME] do in this work? Other (specify).
All household members 8 years and older.
151
0
Job different from past 7 days
The primary male respondent.
Interviewer: Is this one of the jobs or activities cited for [NAME] in the past 7 days?
If answer is 2 > Go to 5 (ine05 - variable name in dataset).
All household members 8 years and older.
1768
3482
1
Yes, already described
1583
2
No, different work
170
8
15
Sysmiss
3482
Have any other work in past 6 months
The primary male respondent.
Did [NAME] have any other work or any other jobs in the past 6 months?
Go to section E2 (income_e2 - name of dataset).
If answer is 2 > Verify with Sec.A if no other job in the past 6 months, and go to next person.]]>
All household members 8 years and older.
1596
3654
1
Yes
1531
2
No
31
8
34
Sysmiss
3654
In past 6 months how many weeks did work
The primary male respondent.
In the past 6 months, for how many weeks did [NAME] do this work? Number of weeks.
All household members 8 years and older.
168
5082
1
99
16.899
15.316
For how many hours per week usually work
The primary male respondent.
For how many hours per week did [NAME] usually work at this job? Number of hours.
All household members 8 years and older.
168
5082
2
99
32.923
25.388
For how many years have done this work -Years
The primary male respondent.
For how many years has [NAME] done this work? Years.
If less than one year, enter number of months.
All household members 8 years and older.
168
5082
0
99
13.911
18.43
For how many years have done this work -Months
The primary male respondent.
For how many years has [NAME] done this work? Months.
If less than one year, enter number of months.
All household members 8 years and older.
163
5087
0
99
39.399
47.32
Was work self-employed in a farm
The primary male respondent.
In this work, was [NAME] self-employed on a farm or in a business belonging to your household or was [NAME] working for someone else?
Go to 14 (ine14 - variable name in dataset).
If answer is 2 > Go to 20 (ine20 - variable name in dataset).]]>
All household members 8 years and older.
168
5082
1
Self-employed farmer or working on family farm
87
2
Self-employed in business or working in family business
27
3
Working as an employee for someone else
54
Sysmiss
5082
What type of employer did work for in the past days
The primary male respondent.
All household members 8 years and older.
54
5196
1
Govt./parastatal
13
2
Private employer
41
3
Cooperative union
0
4
NGO
0
5
Other (specify)
0
Sysmiss
5196
Is position temporary or permanent
The primary male respondent.
Is [NAME's] position temporary or permanent?
All household members 8 years and older.
54
5196
1
Temporary
38
2
Permanent
16
Sysmiss
5196
Did receive a salary or payment of any kind
The primary male respondent.
Did [NAME] receive a salary or payment of any kind for this work?
If answer is 2 > Go to 13 (ine13 - variable name in dataset).
All household members 8 years and older.
54
5196
1
Yes
52
2
No
2
Sysmiss
5196
How much was net salary in past 6 months
The primary male respondent.
In the past 12 months, how much was [NAME's] net salary/payment for this work?
INCLUDE housing allowances, and value of all other payments in cash or kind.
All household members 8 years and older.
52
5198
99
90000
15841.077
23650.288
Done any other work in past 6 months
The primary male respondent.
Has [NAME] had any other work in the past 6 months?
Go to section E2 (income_e2 - name of dataset).
If answer is 2 > Verify in Sec.A if no other jobs in the past 6 months, and go to next person.]]>
All household members 8 years and older.
54
5196
1
Yes
37
2
No
17
Sysmiss
5196
In past 6 months has worked on any shambas
The primary male respondent.
In the past 6 months, has [NAME] worked on any shambas/garde ns belonging to your household?
If answer is 2 > Go to 17 (ine17 - variable name in dataset).
All household members 8 years and older.
87
5163
1
Yes
85
2
No
2
Sysmiss
5163
On the shambas which were four main crops - A
The primary male respondent.
All household members 8 years and older.
85
5165
1
99
3.741
11.94
1
Maize
73
2
Wheat
0
3
Millet or sorghum
0
4
Rice
0
5
Beans, peas, cowpeas, other pulses
6
6
Cabbage
0
7
Sukuma wiki
0
8
Spinach
0
9
Yams or Sweet potatoes
0
10
Irish potatoes
1
11
Cassava
0
12
Groundnuts
0
13
Sunflower seeds
0
14
Tomatoes
0
15
Onions, leeks
0
16
Eggplant
0
17
Carrots
1
18
Capsicums/Green Peppers
0
19
Chillies
0
20
Coffee
0
21
Tea
1
22
Tobacco
0
23
Cotton
0
24
Lumber, wood
0
25
Oil palm/palm oil
0
26
Honey or Sugarcane
0
27
Avocado
0
28
Bananas
0
29
Mangoes
0
30
Oranges/Citrus fruits
0
31
Pineapple
0
32
Sugarcane
0
33
Other fruits (specify)
0
34
Other vegetables (specify)
2
99
1
Sysmiss
5165
On the shambas which were four main crops - B
The primary male respondent.
All household members 8 years and older.
66
5184
1
34
6.955
7.041
1
Maize
2
2
Wheat
0
3
Millet or sorghum
3
4
Rice
0
5
Beans, peas, cowpeas, other pulses
44
6
Cabbage
3
7
Sukuma wiki
8
8
Spinach
0
9
Yams or Sweet potatoes
2
10
Irish potatoes
0
11
Cassava
0
12
Groundnuts
0
13
Sunflower seeds
0
14
Tomatoes
0
15
Onions, leeks
0
16
Eggplant
0
17
Carrots
0
18
Capsicums/Green Peppers
0
19
Chillies
0
20
Coffee
0
21
Tea
0
22
Tobacco
0
23
Cotton
0
24
Lumber, wood
0
25
Oil palm/palm oil
0
26
Honey or Sugarcane
0
27
Avocado
0
28
Bananas
0
29
Mangoes
0
30
Oranges/Citrus fruits
0
31
Pineapple
0
32
Sugarcane
0
33
Other fruits (specify)
0
34
Other vegetables (specify)
4
Sysmiss
5184
On the shambas which were four main crops - C
The primary male respondent.
All household members 8 years and older.
39
5211
1
34
16.667
12.679
1
Maize
1
2
Wheat
0
3
Millet or sorghum
1
4
Rice
0
5
Beans, peas, cowpeas, other pulses
2
6
Cabbage
0
7
Sukuma wiki
12
8
Spinach
2
9
Yams or Sweet potatoes
0
10
Irish potatoes
4
11
Cassava
1
12
Groundnuts
0
13
Sunflower seeds
0
14
Tomatoes
2
15
Onions, leeks
1
16
Eggplant
0
17
Carrots
0
18
Capsicums/Green Peppers
0
19
Chillies
0
20
Coffee
0
21
Tea
0
22
Tobacco
0
23
Cotton
0
24
Lumber, wood
0
25
Oil palm/palm oil
0
26
Honey or Sugarcane
0
27
Avocado
0
28
Bananas
0
29
Mangoes
0
30
Oranges/Citrus fruits
0
31
Pineapple
0
32
Sugarcane
0
33
Other fruits (specify)
0
34
Other vegetables (specify)
13
Sysmiss
5211
On the shambas which were four main crops - D
The primary male respondent.
All household members 8 years and older.
16
5234
1
34
27
12.633
1
Maize
1
2
Wheat
0
3
Millet or sorghum
0
4
Rice
0
5
Beans, peas, cowpeas, other pulses
0
6
Cabbage
1
7
Sukuma wiki
1
8
Spinach
0
9
Yams or Sweet potatoes
0
10
Irish potatoes
1
11
Cassava
0
12
Groundnuts
0
13
Sunflower seeds
0
14
Tomatoes
0
15
Onions, leeks
0
16
Eggplant
0
17
Carrots
0
18
Capsicums/Green Peppers
0
19
Chillies
0
20
Coffee
0
21
Tea
0
22
Tobacco
0
23
Cotton
0
24
Lumber, wood
0
25
Oil palm/palm oil
0
26
Honey or Sugarcane
0
27
Avocado
0
28
Bananas
0
29
Mangoes
0
30
Oranges/Citrus fruits
0
31
Pineapple
0
32
Sugarcane
0
33
Other fruits (specify)
0
34
Other vegetables (specify)
12
Sysmiss
5234
On the shambas which were four main crops - D
The primary male respondent.
All household members 8 years and older.
12
0
How much net income in past 6 months
The primary male respondent.
In the past 6 months how much net income did [NAME] earn from the sale of these crops? Amount in KSh.
All household members 8 years and older.
85
5165
0
24000
1266.165
4323.474
Has spent any time caring for animals
The primary male respondent.
If answer is 2 > Go to 21 (ine21 - variable name in dataset).
All household members 8 years and older.
87
5163
1
Yes
76
2
No
10
9
1
Sysmiss
5163
How much income did receive from the sale of products from a
The primary male respondent.
In the past 6 months, how much income did [NAME] receive from the sale of products from these animals (meat, milk, honey, etc.)? Amount in KSh.
All household members 8 years and older.
77
5173
0
18000
1254.922
3648.42
Have any other work in past 6 months
The primary male respondent.
Did [NAME] have any other work or jobs in the past 6 months?
Go to section E2 (income_e2 - name of dataset).
If answer is 2 > Verify in Sec.A if no other job n the past 6 months, and go to next person.]]>
All household members 8 years and older.
83
5167
1
Yes
48
2
No
29
8
5
9
1
Sysmiss
5167
What type of business work at in past 6 months
The primary male respondent.
What type of business or self-employment did [NAME] work at in the past year? What kind of trade, industry or business is it connected with?
All household members 8 years and older.
27
5223
1
Crop farmer
0
2
Animal farmer
0
3
Housewife
0
4
Trader/merchant/salesperson
17
5
Transport worker
3
6
Construction worker
0
7
Teacher/education professional
1
8
Health professional/TBA/trad. Healer
0
9
Secretary/clerical
0
10
Factory worker
0
11
Restaurant/bar/hotel
1
12
Skilled trades (carpenter, tailor, etc.)
5
13
Preacher/pastor
0
14
Village elder
0
15
Domestic worker
0
16
Civil Servant/Government
0
17
Other (specify)
0
88
No activity/unemployed
0
99
Don’t Know
0
Sysmiss
5223
What type of business work at in past 6 months (Other)
The primary male respondent.
What type of business or self-employment did [NAME] work at in the past year? What kind of trade, industry or business is it connected with? Other (specify).
All household members 8 years and older.
0
0
How much net income did receive from business
The primary male respondent.
How much net income did [NAME] receive from this business in the past 6 months?
All household members 8 years and older.
33
5217
0
124800
10052.667
22404.737
Did have any other work in past 6 months
The primary male respondent.
Did [NAME] have any other work or jobs in the past 6 months?
Go to section E2 (income_e2 - name of dataset).
If answer is 2 > Verify in Sec.A if no other job in the past 6 months, and go to next person.]]>
All household members 8 years and older.
33
5217
1
Yes
18
2
No
15
Sysmiss
5217
Count of Section E2
3526
1724
1
15
5.968
2.54
Line number
All household members 8 years and older.
21
5229
ID code
ID Code
All household members 8 years and older.
3526
1724
What was secondary job in past 6 months
The primary male respondent.
What was [NAME's] secondary job in the past 12 months, that is, the job or which he/she spent the most time at after his/her main job? What kind of trade, industry or business is this connected with?
If answer is 3 or 88 > Go to next person.
All household members 8 years and older.
3526
1724
1
99
5.825
17.71
1
Crop farmer
1751
2
Animal farmer
1221
3
Housewife
148
4
Trader/merchant/salesperson
121
5
Transport worker
5
6
Construction worker
5
7
Teacher/education professional
3
8
Health professional/TBA/trad. Healer
1
9
Secretary/clerical
0
10
Factory worker
2
11
Restaurant/bar/hotel
4
12
Skilled trades (carpenter, tailor, etc.)
10
13
Preacher/pastor
0
14
Village elder
0
15
Domestic worker
5
16
Civil Servant/Government
0
17
Other (specify)
98
88
Student
149
99
Don’t Know
3
Sysmiss
1724
What was secondary job in past 6 months (Other)
The primary male respondent.
What was [NAME's] secondary job in the past 12 months, that is, the job or which he/she spent the most time at after his/her main job? What kind of trade, industry or business is this connected with? Other (specify).
All household members 8 years and older.
98
0
Job same as in the past 7 days
The primary male respondent.
Interviewer: Is this the same job or activity cited for [NAME] in the past 7 days?
If answer is 1 > Go to 7 (inee07 - variable name in dataset).
All household members 8 years and older.
3228
2022
1
Yes, already described
2330
2
No, different work
887
8
11
Sysmiss
2022
Did receive salary or payment of any kind
The primary male respondent.
Did [NAME] receive a salary or payment of any kind for this work?
If answer is 2 > Go to 6 (inee06 - variable name in dataset).
All household members 8 years and older.
897
4353
1
Yes
67
2
No
810
8
20
Sysmiss
4353
In past 6 months how much was net salary
The primary male respondent.
In the past 6 months, how much was [NAME's] net salary/payment for this work?
Go to 7 (inee07 - variable name in dataset).
All household members 8 years and older.
86
5164
0
105280
4850.198
13561.397
How much net income did receive in past 6 months
The primary male respondent.
All household members 8 years and older.
811
4439
0
48000
607.755
3836.462
Did any other work in past 6 months
The primary male respondent.
Did [NAME] do any other work or have any other jobs in the past 6 months that you have not described to me?
If answer is 2 > Go to next person.
All household members 8 years and older.
3227
2023
1
Yes
348
2
No
2871
8
7
9
1
Sysmiss
2023
In past 6 months how much did receive
The primary male respondent.
In the past 6 months, how much did [NAME] receive from all these other jobs or all of this other work?
All household members 8 years and older.
355
4895
0
90000
1986.065
7689.477
Count of Section F
2239
3011
1
11
3.909
1.951
Line number
All individuals in the household that are 18 years or older.
8
5242
ID Code
ID Code
All individuals in the household that are 18 years or older.
2239
3011
Pensions or retirement funds
The primary male respondent.
During the past 6 months how much income has [NAME] received from each of the following sources…Pensions or retirement funds?
All individuals in the household that are 18 years or older.
2239
3011
0
120000
325.766
4205.031
Employment, medical or life insurance
The primary male respondent.
During the past 6 months how much income has [NAME] received from each of the following sources…Employment, insurance, medical insurance, or life insurance?
All individuals in the household that are 18 years or older.
2239
3011
0
30000
80.393
989.267
Interest on savings, credit union or other account
The primary male respondent.
During the past 6 months how much income has [NAME] received from each of the following sources…Interest on savings, credit union or other accounts?
All individuals in the household that are 18 years or older.
2239
3011
0
40000
102.46
1242.543
Lottery winning or games of chance
The primary male respondent.
During the past 6 months how much income has [NAME] received from each of the following sources…Lottery winning or games of chance?
All individuals in the household that are 18 years or older.
2239
3011
0
99
0.752
8.596
Dowry
The primary male respondent.
During the past 6 months how much income has [NAME] received from each of the following sources…Dowry?
Probe for cash and kind.
All individuals in the household that are 18 years or older.
2239
3011
0
40000
74.408
1498.415
Inheritance
The primary male respondent.
During the past 6 months how much income has [NAME] received from each of the following sources…Inheritance?
Probe for cash and kind.
All individuals in the household that are 18 years or older.
2239
3011
0
2400000
1380.125
51891.115
Sale of durable goods such as bicycles, cars, radio
The primary male respondent.
During the past 6 months how much income has [NAME] received from each of the following sources…Sale of durable goods such as bicycles, cars, radios, etc?
All individuals in the household that are 18 years or older.
2239
3011
0
100000
68.757
2345.276
Other sources of income, in cash or kind
The primary male respondent.
During the past 6 months how much income has [NAME] received from each of the following sources…Other sources of income, in cash or kind?
Go to next person.
All individuals in the household that are 18 years or older.
2239
3011
0
102000
130.03
2517.392
Agriculture module
5590
0
1
Yes
5590
2
No
0
Household ID
Household ID
5590
0
Respondent ID
Respondent ID
5590
0
Day of interview
Date of Interview. Day.
5590
0
Month of interview
Date of Interview. Month.
5590
0
Year of interview
Date of Interview. Year.
5590
0
Count of crop
5590
0
1
11
5.389
2.449
Line number
25
5565
Crop code
The household head and the spouse.
Crop Codes.
5590
0
1
34
14.12
13.04
1
Maize
1053
2
Wheat
11
3
Millet or sorghum
175
4
Rice
1
5
Beans, peas, cowpeas, other pulses
882
6
Cabbage
171
7
Sukuma wiki
640
8
Spinach
94
9
Yams or Sweet potatoes
109
10
Irish potatoes
282
11
Cassava
22
12
Groundnuts
5
13
Sunflower seeds
0
14
Tomatoes
94
15
Onions, leeks
326
16
Eggplant
0
17
Carrots
16
18
Capsicums/Green Peppers
5
19
Chillies
14
20
Coffee
1
21
Tea
73
22
Tobacco
9
23
Cotton
0
24
Lumber, wood
0
25
Oil palm/palm oil
0
26
Honey or Sugarcane
13
27
Avocado
7
28
Bananas
69
29
Mangoes
0
30
Oranges/Citrus fruits
2
31
Pineapple
13
32
Sugarcane
26
33
Other fruits (specify)
2
34
Other vegetables (specify)
1475
Crop (other)
The household head and the spouse.
Crop Codes. Other (specify).
1475
0
Quantity of crop hh produced since beginning of the year (Qu
The household head and the spouse.
How much quantity of [Crop] has your household produced (for sale and for home consumption) since the beginning of this year? Quantity.
Do not include crop outputs from the long and short rains seasons of 2003.
5589
1
0
9999
55.578
341.459
Quantity of crop hh produced since beginning of the year (Cr
The household head and the spouse.
How much quantity of [Crop] has your household produced (for sale and for home consumption) since the beginning of this year? Crop unit code.
Do not include crop outputs from the long and short rains seasons of 2003.
4930
660
0
1
1
Kilograms
65
2
Goro goros (2 Kgs.)
460
3
Debbes
701
4
Litres
2
5
Bunches
2185
6
Bags/Sacks
1168
7
Pieces
309
8
Tins
9
9
Dozens
0
10
Crates
25
11
2
98
3
Sysmiss
660
Quantity of crop hh sold since beginning of the year (Quanti
The household head and the spouse.
How much quantity of [Crop] has your household sold since the beginning of this year? Quantity.
Do not include sales of crops grown primarily during the long and short rains seasons of 2003.
5588
2
0
9999
28.256
334.187
Quantity of crop hh sold since beginning of the year (Crop u
The household head and the spouse.
How much quantity of [Crop] has your household sold since the beginning of this year? Crop unit code.
Do not include sales of crops grown primarily during the long and short rains seasons of 2003.
921
4669
1
Kilograms
2
Goro goros (2 Kgs.)
3
Debbes
4
Litres
5
Bunches
6
Bags/Sacks
7
Pieces
8
Tins
9
Dozens
10
Crates
Income hh receive from selling the quantity of crop (Amount)
The household head and the spouse.
How much income did your household receive from selling this quantity of [Crop]? Total amount.
5588
2
0
1152000
1944.157
23766.606
Income hh receive from selling the quantity of crop (Unit pr
The household head and the spouse.
How much income did your household receive from selling this quantity of [Crop]? Unit price.
927
4663
1
6400
487.49
662.229
Income hh receive from selling the quantity of crop (Crop un
The household head and the spouse.
How much income did your household receive from selling this quantity of [Crop]? Crop unit code.
928
4662
1
Kilograms
2
Goro goros (2 Kgs.)
3
Debbes
4
Litres
5
Bunches
6
Bags/Sacks
7
Pieces
8
Tins
9
Dozens
10
Crates
Have any crop in storage
The household head and the spouse.
Do you have any of the [Crop] in storage at the present?
5588
2
1
Yes
1055
2
No
4494
8
39
Sysmiss
2
If were to sell the stored quantity, what is amount would ge
The household head and the spouse.
If you were to sell this stored quantity now, what is the amount you could get?
1055
4535
0
960000
11285.759
42287.981
Quantity hh expect to produce this year
The household head and the spouse.
How much quantity of [Crop] does your household expect to produce (for sale or home consumption) this year? Quantity.
5589
1
0
99999
72.298
1873.724
Quantity hh expect to produce this year - Crop unit code)
The household head and the spouse.
How much quantity of [Crop] does your household expect to produce (for sale or home consumption) this year? Crop unit code.
3277
2313
1
Kilograms
2
Goro goros (2 Kgs.)
3
Debbes
4
Litres
5
Bunches
6
Bags/Sacks
7
Pieces
8
Tins
9
Dozens
10
Crates
Agriculture module
2910
0
1
Yes
2
No
Household ID
Household ID
2910
0
Respondent ID
Respondent ID
2910
0
Day of interview
Date of Interview. Day.
2910
0
Month of interview
Date of Interview. Month.
2910
0
Year of interview
Date of Interview. Year.
2910
0
Major crop code
The household head and the spouse.
Now I would like to ask you when you sold your main crops, and how much you received.
Major Crop
2898
12
1
Maize
299
2
Wheat
6
3
Millet or sorghum
6
4
Rice
0
5
Beans, peas, cowpeas, other pulses
89
6
Cabbage
38
7
Sukuma wiki
103
8
Spinach
8
9
Yams or Sweet potatoes
4
10
Irish potatoes
34
11
Cassava
0
12
Groundnuts
1
13
Sunflower seeds
0
14
Tomatoes
8
15
Onions, leeks
9
16
Eggplant
0
17
Carrots
2
18
Capsicums/Green Peppers
1
19
Chillies
0
20
Coffee
1
21
Tea
54
22
Tobacco
3
23
Cotton
0
24
Lumber, wood
0
25
Oil palm/palm oil
0
26
Honey or Sugarcane
1
27
Avocado
2
28
Bananas
14
29
Mangoes
0
30
Oranges/Citrus fruits
0
31
Pineapple
1
32
Sugarcane
6
33
Other fruits (specify)
0
34
Other vegetables (specify)
132
98
2076
Sysmiss
12
Month of sale 1
The household head and the spouse.
Date of Sale. Month. Sale #1.
2898
12
Year of sale 1
The household head and the spouse.
Date of Sale. Year. Sale #1.
822
2088
Quantity sold 1
The household head and the spouse.
Quantity Sold. Quantity. Sale #1.
2898
12
1
999
87.171
88.167
The household head and the spouse.
Quantity Sold. Crop unit code. Sale #1.
2705
205
1
Kilograms
50
2
Goro goros (2 Kgs.)
95
3
Debbes
37
4
Litres
0
5
Bunches
206
6
Bags/Sacks
372
7
Pieces
54
8
Tins
1891
9
Dozens
0
10
Crates
0
Sysmiss
205
Amount received per unit 1
The household head and the spouse.
Amount received per unit. Sale #1.
2898
12
1
4000
228.068
406.525
Total received 1
The household head and the spouse.
Total received. Sale #1.
2898
12
20
880000
3176.605
24742.35
Month of sale 2
The household head and the spouse.
Date of Sale. Month. Sale #2.
103
2807
Year of sale 2
The household head and the spouse.
Date of Sale. Year. Sale #2.
103
2807
Quantity sold 2
The household head and the spouse.
Quantity Sold. Quantity. Sale #2.
103
2807
1
999
95.845
174.599
The household head and the spouse.
Quantity Sold. Crop unit code. Sale #2.
103
2807
1
Kilograms
28
2
Goro goros (2 Kgs.)
10
3
Debbes
1
4
Litres
0
5
Bunches
41
6
Bags/Sacks
15
7
Pieces
6
8
Tins
2
9
Dozens
0
10
Crates
0
Sysmiss
2807
Amount received per unit 2
The household head and the spouse.
Amount received per unit. Sale #2.
103
2807
2
2000
180.476
437.106
Total received 2
The household head and the spouse.
Total received. Sale #2.
103
2807
25
96000
3720.66
12708.913
Month of sale 3
The household head and the spouse.
Date of Sale. Month. Sale #3.
62
2848
Year of sale 3
The household head and the spouse.
Date of Sale. Year. Sale #3.
61
2849
Quantity sold 3
The household head and the spouse.
Quantity Sold. Quantity. Sale #3.
62
2848
1
999
143.597
224.241
The household head and the spouse.
Quantity Sold. Crop unit code. Sale #3.
62
2848
1
Kilograms
28
2
Goro goros (2 Kgs.)
9
3
Debbes
0
4
Litres
0
5
Bunches
18
6
Bags/Sacks
2
7
Pieces
3
8
Tins
2
9
Dozens
0
10
Crates
0
Sysmiss
2848
Amount received per unit 3
The household head and the spouse.
Amount received per unit. Sale #3.
62
2848
2
2000
59.145
260.201
Total received 3
The household head and the spouse.
Total received. Sale #3.
62
2848
50
84000
2790.161
10763.193
Month of sale 4
The household head and the spouse.
Date of Sale. Month. Sale #4.
42
2868
Year of sale 4
The household head and the spouse.
Date of Sale. Year. Sale #4.
42
2868
Quantity sold 4
The household head and the spouse.
Quantity Sold. Quantity. Sale #4.
42
2868
1
997
150.738
197.838
The household head and the spouse.
Quantity Sold. Crop unit code. Sale #4.
42
2868
1
Kilograms
27
2
Goro goros (2 Kgs.)
6
3
Debbes
0
4
Litres
0
5
Bunches
7
6
Bags/Sacks
1
7
Pieces
1
8
Tins
0
9
Dozens
0
10
Crates
0
Sysmiss
2868
Amount received per unit 4
The household head and the spouse.
Amount received per unit. Sale #4.
42
2868
5
500
21.429
75.668
Total received 4
The household head and the spouse.
Total received. Sale #4.
42
2868
50
108000
4225.69
16685.841
Month of sale 5
The household head and the spouse.
Date of Sale. Month. Sale #5.
1
2909
Year of sale 5
The household head and the spouse.
Date of Sale. Year. Sale #5.
1
2909
Quantity sold 5
The household head and the spouse.
Quantity Sold. Quantity. Sale #5.
1
2909
100
100
100
The household head and the spouse.
Quantity Sold. Crop unit code. Sale #5.
1
2909
1
Kilograms
1
2
Goro goros (2 Kgs.)
0
3
Debbes
0
4
Litres
0
5
Bunches
0
6
Bags/Sacks
0
7
Pieces
0
8
Tins
0
9
Dozens
0
10
Crates
0
Sysmiss
2909
Amount received per unit 5
The household head and the spouse.
Amount received per unit. Sale #5.
1
2909
10
10
10
Total received 5
The household head and the spouse.
Total received. Sale #5.
1
2909
1000
1000
1000
Agriculture module
10185
0
1
Yes
10185
2
No
0
Household ID
Household ID
10185
0
Respondent ID
Respondent ID
10185
0
Day of interview
Date of Interview. Day.
10185
0
Month of interview
Date of Interview. Month.
10185
0
Year of interview
Date of Interview. Year.
10185
0
Input number
The household head and the spouse.
Input Number
10185
0
1
Hired labor
2
Seeds
3
Manure
4
Fertilizer
5
Pesticides/Herbicides
6
Transportation
7
Expenses associated with crop production
Input number is created from an item list in the questionnaire.
Have used
The household head and the spouse.
If answer is 2 > Go to next question.
10178
7
1
Yes
3485
2
No
6615
8
76
9
2
Sysmiss
7
Amount spend
The household head and the spouse.
How much did you spend on [INPUT] since [round 1], in the past […] months?
3485
6700
0
180000
1897.892
5101.319
Agriculture module
1719
0
1
Yes
1719
2
No
0
Household ID
Household ID
1719
0
Respondent ID
Respondent ID
1719
0
Day of interview
Date of Interview. Day.
1719
0
Month of interview
Date of Interview. Month.
1719
0
Year of interview
Date of Interview. Year.
1719
0
Any worked on shamba without being paid
The household head and the spouse.
Since [round 1], that is in the past […] months, has anyone worked on your shambas/gardens without being paid or in exchange for your labour, or have you worked on somebody else’s shamba/garden without being paid?
If answer is 2 > End.
1718
1
1
Yes
581
2
No
1129
8
7
9
1
Sysmiss
1
Count of persons
581
1138
1
5
2.401
1.193
Line number
The household head and the spouse.
Person Number
0
1719
IRID Code of person who helped
The household head and the spouse.
IRID Code or person
581
0
Days person worked
The household head and the spouse.
[Since round 1], for how many days did this person work on your shambas/gardens?
If answer is 0 > Go to 8 (agrd8 - variable name in dataset).
581
1138
0
180
3.852
9.622
Activity this person did on shamba
The household head and the spouse.
What activity did this person do on your shamba?
570
1149
1
79
2
142
3
330
4
19
Sysmiss
1149
Activity this person did on shamba(Other)
The household head and the spouse.
What activity did this person do on your shamba? Other (specify).
19
0
Worked for thid person in return
The household head and the spouse.
Did you work for this person in return for his/her work on your shambas/garden?
If answer is 2 > End.
570
1149
1
Yes
238
2
No
332
Sysmiss
1149
Days worked for this person
The household head and the spouse.
[Since round 1], for how many days did you work on this person’s shamba/garden?
End.
237
1482
1
98
3.612
6.585
Worked for this person without pay
The household head and the spouse.
Since [round 1], have you worked on this person’s shamba/garden without being paid?
62
1657
1
Yes
15
2
No
15
8
32
Sysmiss
1657
Unexpected event
1145
0
1
Yes
1145
2
No
0
Household ID
Household ID
1145
0
Respondent ID
Respondent ID
1145
0
Day of interview
Date of Interview. Day.
1145
0
Month of interview
Date of Interview. Month.
1145
0
Year of interview
Date of Interview. Year.
1145
0
R1: Day of interview
Date of Round 1 interview. Day.
1144
1
R1: Month of interview
Date of Round 1 interview. Month.
1144
1
R1: Year of interview
Date of Round 1 interview. Year.
1144
1
Engaged in farming
Primary male respondent
Since [Round 1] have you or members of your household engaged in farming on your own or rented land?
If answer is 2 > Go to section A2 (une22 - variable name in dataset).
1145
0
1
Yes
1053
2
No
92
Weather adversely affected the yield
Primary male respondent
Since [Round 1], has the weather adversely affected the crops on your farm?
If answer is 2 > Go to 6 (une06 - variable name in dataset).
1053
92
1
Yes
545
2
No
507
9
1
Sysmiss
92
Count of weather events
545
600
1
3
1.088
0.314
Have a problem with crop due to fire
Primary male respondent
Since [Round 1], have you (or any household member) had a problem with crops on your fields due to fire (not caused by lightening), pests, animals, plant disease, or theft?
If answer is 2 > Go to 10 (une10 - variable name in dataset).
1053
92
1
Yes
174
2
No
879
Sysmiss
92
Count of events
Primary male respondent
174
971
1
3
1.086
0.301
Have problem with farm inputs
Primary male respondent
Since [Round 1], have you (or any household member) had a problem with farm inputs (e.g. fertilizer, herbicide, seeds) not working as expected on your shambas?
If answer is 2 > Go to 14 (une14 - variable name in dataset).
1053
92
1
Yes
36
2
No
1017
Sysmiss
92
Count of farm inputs
Primary male respondent
36
1109
1
2
1.056
0.232
Have lost land due to dispute
Primary male respondent
Since [Round 1], have you lost any of the land you were cultivating to a dispute over who could cultivate the land?
If answer is 2 > Go to 18 (une18 - variable name in dataset).
1053
92
1
Yes
6
2
No
1047
Sysmiss
92
Count of lost land
Primary male respondent
6
1139
1
2
1.167
0.408
Lost any stored crops to pests
Primary male respondent
Since [Round 1], have you (or any household member) lost any stored crops to pests, rodents, fire, theft, or water damage?
If answer is 2 > Go to 22 (une22 - variable name in dataset).
1053
92
1
Yes
31
2
No
1016
8
6
Sysmiss
92
Count of lost stored crop
Primary male respondent
31
1114
1
2
1.29
0.461
Owned any livestock
Primary male respondent
At any time since [Round 1], have you (or your household members) owned any livestock?
If answer is 2 > Go to section B (une29 - variable name in dataset).
1145
0
1
Yes
1001
2
No
144
Lost any livestock
Primary male respondent
Since [Round 1], have any of these livestock died from a disease or accident?
If answer is 2 > Go to section B (une29 - variable name in dataset).
1001
144
1
Yes
396
2
No
605
Sysmiss
144
Count of lost livestock
Primary male respondent
396
749
1
2
1.121
0.327
Anything been stolen from house
Primary male respondent
Since [Round 1], has anything been stolen from your house/compound (except stored crops or livestock)?
If answer is 2 > Go to 32 (une32 - variable name in dataset).
1145
0
1
Yes
103
2
No
1042
Count of stolen things
Primary male respondent
103
1042
1
2
1.039
0.194
Have your house been danaged by weather
Primary male respondent
Since [Round 1], have your houses or buildings been damaged by weather (including flood) or fire?
If answer is 2 > Go to 39 (une39 - variable name in dataset).
1145
0
1
Yes
9
2
No
1136
Count of item damaged
Primary male respondent
9
1136
1
1
1
0
Source of drinking water unusable
Primary male respondent
Since [Round 1], has there been a period(s) of time where the source where you usually get drinking water was unusable?
If answer is 2 > Go to section C (une43 - variable name in dataset).
1145
0
1
Yes
129
2
No
1016
Count of source of drinking water
Primary male respondent
129
1016
1
2
1.093
0.292
Had job which paid a wage
Primary male respondent
Since [Round 1], have you (or any household member) held any job which paid a wage?
If answer is 2 > Go to 51 (une51 - variable name in dataset).
1145
0
1
Yes
775
2
No
370
Had a problem of non-payment for work
Primary male respondent
Since [Round 1], has any household member had a problem of non-payment or delay of payment for work that he/she did?
If answer is 2 > Go to 48 (une48 - variable name in dataset).
775
370
1
Yes
70
2
No
694
9
11
Sysmiss
370
Lost any jobs
Primary male respondent
Since [Round 1], have you or anyone in your household lost any jobs?
If answer is 2 > Go to 51 (une51 - variable name in dataset).
775
370
1
Yes
43
2
No
729
8
3
Sysmiss
370
Count of job loss
Primary male respondent
43
1102
1
1
1
0
Managed/owned own business
Primary male respondent
Since [Round 1], have you (or any household members) managed/owned a business?
If answer is 2 > End.
1145
0
1
Yes
556
2
No
589
Have had unexpected losses in business
Primary male respondent
Since [Round 1], have there been any unexpected losses in this business due to things such as theft, fire, employee fraud, debtor default, etc?
If answer is 2 > End.
556
589
1
Yes
249
2
No
301
8
2
9
4
Sysmiss
589
Unexpected event
593
0
1
Yes
593
2
No
0
Household ID
Household ID
593
0
Respondent ID
Respondent ID
593
0
Day of interview
Date of Interview. Day.
593
0
Month of interview
Date of Interview. Month.
593
0
Year of interview
Date of Interview. Year.
593
0
R1: Day of interview
Date of Round 1 interview. Day.
593
0
R1: Month of interview
Date of Round 1 interview. Month.
593
0
R1: Year of interview
Date of Round 1 interview. Year.
593
0
Weather eventID 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
1
592
1
1
Sysmiss
592
Weather eventID 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
593
0
1
Drought/lack of water
489
2
Flood
13
3
Hail storm
42
4
Frost
1
5
Lightening
0
6
Rainstorm
43
7
Other (specify)
5
Weather event(other)
Weather event ID Code. Other (specify).
6
0
Month begun
Primary male respondent
Date when Event Began and Ended. Month Began.
593
0
Year begun
Primary male respondent
Date when Event Began and Ended. Year Began.
593
0
Month ended
Primary male respondent
Date when Event Began and Ended. Month Ended.
593
0
Year ended
Primary male respondent
Date when Event Began and Ended. Year Ended.
593
0
Value of crop damaged
Primary male respondent
Estimated Value of Crop Damage due to the Weather Event (KSh)
593
0
40
180000
9327.951
15140.695
Unexpected event
189
0
1
Yes
189
2
No
0
Household ID
Household ID
189
0
Respondent ID
Respondent ID
189
0
Day of interview
Date of Interview. Day.
189
0
Month of interview
Date of Interview. Month.
189
0
Year of interview
Date of Interview. Year.
189
0
R1: Day of interview
Date of Round 1 interview. Day.
189
0
R1: Month of interview
Date of Round 1 interview. Month.
189
0
R1: Year of interview
Date of Round 1 interview. Year.
189
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
1
188
Event code
Primary male respondent
When did these problems happen and what was the value of the damage to your crops?
Event ID Code
189
0
1
Insects
10
2
Rodents
9
3
Animals eating crops
109
4
Theft
56
5
Fire
0
6
Other (specify)
5
Event code (other)
Primary male respondent
Event ID Code. Other (specify).
5
0
Date of event - Month
Primary male respondent
Date of Event. Month.
189
0
Date of event - Year
Primary male respondent
Date of Event. Year.
189
0
Value of crop damage
Primary male respondent
Estimated Value of Crop Damage due to the Event (KSh).
189
0
60
20000
1671.111
2428.177
Unexpected event
38
0
1
Yes
2
No
Household ID
Household ID
38
0
Respondent ID
Respondent ID
38
0
Day of interview
Date of Interview. Day.
38
0
Month of interview
Date of Interview. Month.
38
0
Year of interview
Date of Interview. Year.
38
0
R1: Day of interview
Date of Round 1 interview. Day.
38
0
R1: Month of interview
Date of Round 1 interview. Month.
38
0
R1: Year of interview
Date of Round 1 interview. Year.
38
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
38
Problem ID Code
Primary male respondent
When did this happen and what was the value of the damage to your crops?
Problem ID Code
38
0
1
Fertilizers
11
2
Herbicides
1
3
Other chemicals
0
4
Seeds
26
Date of event -Month
Primary male respondent
Date of Problem. Month.
38
0
Date of event -Year
Primary male respondent
Date of Problem. Year.
38
0
Value of damage
Primary male respondent
Estimated Value of Damage due to the Event (KSh).
38
0
400
100000
10339.474
16879.71
Unexpected event
7
0
1
Yes
2
No
Household ID
Household ID
7
0
Respondent ID
Respondent ID
7
0
Day of interview
Date of Interview. Day.
7
0
Month of interview
Date of Interview. Month.
7
0
Year of interview
Date of Interview. Year.
7
0
R1: Day of interview
Date of Round 1 interview. Day.
7
0
R1: Month of interview
Date of Round 1 interview. Month.
7
0
R1: Year of interview
Date of Round 1 interview. Year.
7
0
Unit
Primary male respondent
0
7
Date of event -Month
Primary male respondent
When did this happen and what was the value of the loss?
Date of Event. Month.
7
0
Date of event -Year
Primary male respondent
When did this happen and what was the value of the loss?
Date of Event. Year.
7
0
Land Quantity
Primary male respondent
Land Quantity
7
0
20
250
145.714
88.291
Land Unit Code
Primary male respondent
Land Unit Code
7
0
1
Acres
7
2
Hectares
0
3
Sq. meters
0
4
Sq. feet
0
Value of land
Primary male respondent
Value of the land that was lost [Amount in KSh].
7
0
0
375000
227142.857
147022.026
Unexpected event
40
0
1
Yes
2
No
Household ID
Household ID
40
0
Respondent ID
Respondent ID
40
0
Day of interview
Date of Interview. Day.
40
0
Month of interview
Date of Interview. Month.
40
0
Year of interview
Date of Interview. Year.
40
0
R1: Day of interview
Date of Round 1 interview. Day.
40
0
R1: Month of interview
Date of Round 1 interview. Month.
40
0
R1: Year of interview
Date of Round 1 interview. Year.
40
0
Unit
Primary male respondent
0
40
Reason for loss
Primary male respondent
Reason for loss
40
0
1
Pests
25
2
Rodents
4
3
Fire
1
4
Theft
9
5
Water damage
0
6
Other (specify)
1
Reason for loss(other)
Reason for loss. Other (specify).
1
0
Date of event -Month
Primary male respondent
Date of Event. Month.
40
0
Date of event -Year
Primary male respondent
Date of Event. Year.
40
0
Value of loss
Primary male respondent
Value of loss (KSh)
40
0
50
5000
1135.675
1140.184
Unexpected event
444
0
1
Yes
444
2
No
0
Household ID
Household ID
444
0
Respondent ID
Respondent ID
444
0
Day of interview
Date of Interview. Day.
444
0
Month of interview
Date of Interview. Month.
444
0
Year of interview
Date of Interview. Year.
444
0
R1: Day of interview
Date of Round 1 interview. Day.
443
1
R1: Month of interview
Date of Round 1 interview. Month.
443
1
R1: Year of interview
Date of Round 1 interview. Year.
443
1
Unit
Primary male respondent
0
444
Sysmiss
444
Date of livestock loss - Month
Primary male respondent
Date of Livestock loss. Month.
444
0
Date of livestock loss - Year
Primary male respondent
Date of Livestock loss. Year.
444
0
Value of loss
Primary male respondent
Value of loss (KSh)
444
0
99
70000
7632.07
9791.447
Unexpected event
107
0
1
Yes
107
2
No
0
Household ID
Household ID
107
0
Respondent ID
Respondent ID
107
0
Day of interview
Date of Interview. Day.
107
0
Month of interview
Date of Interview. Month.
107
0
Year of interview
Date of Interview. Year.
107
0
R1: Day of interview
Date of Round 1 interview. Day.
107
0
R1: Month of interview
Date of Round 1 interview. Month.
107
0
R1: Year of interview
Date of Round 1 interview. Year.
107
0
Unit
Primary male respondent
1
106
Month of theft
Primary male respondent
Date of theft. Month.
107
0
Year of theft
Primary male respondent
Date of theft. Year.
107
0
Value of stolen item
Primary male respondent
Value of stolen items (KSh)
107
0
48
42000
2946.897
6963.523
Unexpected event
9
0
1
Yes
2
No
Household ID
Household ID
9
0
Respondent ID
Respondent ID
9
0
Day of interview
Date of Interview. Day.
9
0
Month of interview
Date of Interview. Month.
9
0
Year of interview
Date of Interview. Year.
9
0
R1: Day of interview
Date of Round 1 interview. Day.
9
0
R1: Month of interview
Date of Round 1 interview. Month.
9
0
R1: Year of interview
Date of Round 1 interview. Year.
9
0
Unit
Primary male respondent
0
9
Date of weather event - Month
Primary male respondent
Date of Weather Event. Month.
9
0
Date of weather event - Year
Primary male respondent
Date of Weather Event. Year.
9
0
Value of damage
Primary male respondent
Value of damaged items (KSh)
9
0
300
40000
6266.667
12758.625
Unexpected event
141
0
1
Yes
141
2
No
0
Household ID
Household ID
141
0
Respondent ID
Respondent ID
141
0
Day of interview
Date of Interview. Day.
141
0
Month of interview
Date of Interview. Month.
141
0
Year of interview
Date of Interview. Year.
141
0
R1: Day of interview
Date of Round 1 interview. Day.
141
0
R1: Month of interview
Date of Round 1 interview. Month.
141
0
R1: Year of interview
Date of Round 1 interview. Year.
141
0
Unit
Primary male respondent
0
141
Start date of water problem - Month
Primary male respondent
Start date of water problems. Month.
141
0
Start date of water problem - Year
Primary male respondent
Start date of water problems. Year.
141
0
Duration of water problem
Primary male respondent
Duration (in Days) of water problem.
141
0
1
120
32.965
29.763
Reason water source was unusable
Primary male respondent
Reason water source was unusable.
141
0
1
Contaminated by animal
10
2
Contaminated by soil
47
3
Flooded
4
4
Dried up/drought
76
5
Other (specify)
4
Reason water source was unusable (Other)
Primary male respondent
Reason water source was unusable. Other (specify).
5
0
Unexpected event
84
0
1
Yes
84
2
No
0
Household ID
Household ID
84
0
Respondent ID
Respondent ID
84
0
Day of interview
Date of Interview. Day.
84
0
Month of interview
Date of Interview. Month.
84
0
Year of interview
Date of Interview. Year.
84
0
R1: Day of interview
Date of Round 1 interview. Day.
84
0
R1: Month of interview
Date of Round 1 interview. Month.
84
0
R1: Year of interview
Date of Round 1 interview. Year.
84
0
Count
Primary male respondent
0
84
Month supposed to be paid
Primary male respondent
Date person was supposed to be paid. Month.
84
0
Year supposed to be paid
Primary male respondent
Date person was supposed to be paid. Year.
84
0
Amount were supposed to be paid
Primary male respondent
Amount person was supposed to be paid (KSh).
84
0
50
26000
3097.548
3797.813
Month actually paid
Primary male respondent
Date actually paid. Month
84
0
98
Not paid
Year actually paid
Primary male respondent
Date actually paid. Year.
82
2
98
Not paid
Unexpected event
43
0
1
Yes
2
No
Household ID
Household ID
43
0
Respondent ID
Respondent ID
43
0
Day of interview
Date of Interview. Day.
43
0
Month of interview
Date of Interview. Month.
43
0
Year of interview
Date of Interview. Year.
43
0
R1: Day of interview
Date of Round 1 interview. Day.
43
0
R1: Month of interview
Date of Round 1 interview. Month.
43
0
R1: Year of interview
Date of Round 1 interview. Year.
43
0
Count
Primary male respondent
0
43
Sysmiss
43
Month lost a job
Primary male respondent
Date Job was Lost. Month.
43
0
Year lost a job
Primary male respondent
Date Job was Lost. Year.
43
0
Monthly salary of the job
Primary male respondent
Monthly salary of the job (KSh).
43
0
99
17000
3237.791
3365.329
Unexpected event
316
0
1
Yes
2
No
Household ID
Household ID
316
0
Respondent ID
Respondent ID
316
0
Day of interview
Date of Interview. Day.
316
0
Month of interview
Date of Interview. Month.
316
0
Year of interview
Date of Interview. Year.
316
0
R1: Day of interview
Date of Round 1 interview. Day.
316
0
R1: Month of interview
Date of Round 1 interview. Month.
316
0
R1: Year of interview
Date of Round 1 interview. Year.
316
0
Count
Primary male respondent
2
314
1
2
1.5
0.707
Month of unexpected loss
Primary male respondent
Date of Unexpected Loss. Month.
316
0
Year of unexpected loss
Primary male respondent
Date of Unexpected Loss. Year.
316
0
Amount of loss
Primary male respondent
Amount of Loss (KSh).
316
0
10
63000
2032.509
5574.914
Why have the loss
Primary male respondent
Why did you have the loss?
316
0
1
Default/non-payment
126
2
Theft
16
3
Fire
0
4
Unexpected price fall
55
5
Spoilage
93
6
Other (specify)
25
9
1
Why have the loss (Other)
Primary male respondent
Why did you have the loss? Other (specify).
26
0
Transfers & Credits
1561
0
1
Yes
1561
2
No
0
Household ID
Household ID
1561
0
Respondent ID
Respondent ID
1561
0
Day of interview
Date of Interview. Day.
1561
0
Month of interview
Date of Interview. Month.
1561
0
Year of interview
Date of Interview. Year.
1561
0
R1: Day of interview
Date of Round 1 interview. Day.
1560
1
R1: Month of interview
Date of Round 1 interview. Month.
1560
1
R1: Year of interview
Date of Round 1 interview. Year.
1560
1
Received money or goods
Both the primary male and female respondents.
Since [round 1], have you received money or goods from persons who are not members of your household? For example, have you received any transfers or loans from children, parents, relatives or friends living elsewhere?
Go to 9 (tr09 - variable name in dataset).]]>
1561
0
1
Yes
1009
2
No
552
Number of people received money from
1009
552
1
7
2.422
1.516
Have received any transfers from any organization
Both the primary male and female respondents.
Since [round 1], have you received any transfer from any organization or the government?
Go to 13 (tr13 - variable name in dataset).]]>
1561
0
1
Yes
210
2
No
1349
8
2
Count of organization
212
1349
0
3
1.066
0.301
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).]]>
1561
0
1
Yes
257
2
No
1304
Total amount the owe for repayment
Both the primary male and female respondents.
What is the total amount that you owe for repayment of these outstanding debts?
257
1304
20
300000
17196.405
43773.791
Any part of debt incurred to pay for medical care
Both the primary male and female respondents.
Was any part of this debt incurred to pay for medical care?
257
1304
1
Yes
31
2
No
226
Sysmiss
1304
How much was incurred for medical care
Both the primary male and female respondents.
How much debt was incurred for medical care?
31
1530
50
35000
7962.258
9924.641
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
31
1530
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
32
1529
Provided any money or goods
Both the primary male and female respondents.
Since [round 1], have you provided any money or goods to persons who are not members of your household? For example, to children, parents, friends or relatives living elsewhere?
Go to 9 (trb09 - variable name in dataset).]]>
1561
0
1
Yes
867
2
No
693
8
1
Count of different people did you send money, gifts
868
693
0
7
1.758
1.062
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).]]>
1561
0
1
Yes
236
2
No
1323
8
2
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.
237
1324
50
205000
8147.477
21259.2
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).
237
1324
1
Yes
8
2
No
226
8
3
Sysmiss
1324
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.
11
1550
98
5000
1705.818
1807.422
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.
11
1550
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.
12
1549
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 > Go to 14 (trc14a - variable name in dataset).
1561
0
1
Yes
328
2
No
1233
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.
328
1233
20
3000
317.424
361.226
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.
328
1233
1
once a week
163
2
every two weeks
47
3
once a month
115
4
every three months
2
5
every six months
0
6
once a year
1
7
less than once a year
0
Sysmiss
1233
How much contributed since round 1
Both the primary male and female respondents.
How much did you contribute to this group since [round 1]?
328
1233
0
84000
3780.576
7817.702
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 6 (trc06 - variable name in dataset).
328
1233
1
Regularly
323
2
Urgent need
2
3
Both
3
Sysmiss
1233
How often members receive money
Both the primary male and female respondents.
How often does each member receive money from this fund? Frequency code.
326
1235
1
once a week
4
2
every two weeks
0
3
once a month
96
4
every three months
106
5
every six months
70
6
once a year
43
7
less than once a year
7
Sysmiss
1235
How much received since round 1
Both the primary male and female respondents.
How much did you receive from this group since [round 1]?
328
1233
0
81000
3361.97
7421.701
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.
325
1236
0
15000
1568.135
2233.104
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.
238
1323
99
Don't Know
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.
324
1237
99
Don't Know
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.
130
1431
150
14000
1709.231
1967.936
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.
130
1431
99
Don't Know
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.
130
1431
99
Don't Know
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?
328
1233
1
Yes
292
2
No
34
8
1
9
1
Sysmiss
1233
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?
328
1233
1
Yes
155
2
No
171
8
1
9
1
Sysmiss
1233
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?
328
1233
1
Yes
231
2
No
95
8
1
9
1
Sysmiss
1233
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 > Go to 14 (trc14a - variable name in dataset).
328
1233
How much contributed to all since round 1
Both the primary male and female respondents.
How much did you contribute to all of these other organizations since [round 1]? Amount in KSh.
49
1512
98
14800
3018.531
2904.249
How much received from all organizations since round 1
Both the primary male and female respondents.
How much did you receive from all these other organizations since [round 1]? Amount in KSh.
49
1512
0
14800
2694.245
2890.672
Have bank saving account
Both the primary male and female respondents.
1561
0
Have bank checking account
Both the primary male and female respondents.
1561
0
Have other bank accounts
Both the primary male and female respondents.
1561
0
Other savings in home
Both the primary male and female respondents.
1561
0
The value of all accounts
Both the primary male and female respondents.
We have just discussed all of the accounts that you have plus your personal savings at home. In total what is the value of all of your accounts and your other savings outside these institutions, including foreign savings?
1561
0
Given any money to spouse since round 1
Both the primary male and female respondents.
Since [round 1] have you given any money or goods to your spouse, on a regular or irregular basis?
If answer is 2 > Go to 13 (trd13 - variable name in dataset).
1561
0
1
Yes
636
2
No
832
8
93
Given count
729
832
0
2
0.882
0.355
Given more money to .. since round 1
Both the primary male and female respondents.
Apart from the money you give regularly, have you given any more money to [ID] since [round 1]?
If answer is 2 > Go to 13 (trd13 - variable name in dataset).
733
828
1
Yes
532
2
No
106
8
95
Sysmiss
828
Count of spouse
627
934
0
7
1.38
1.093
Received any money from spouse since round 1
Both the primary male and female respondents.
Since [round 1] have you received any money or goods from your spouse, on a regular or irregular basis?
If answer is 2 > End.
1561
0
1
Yes
639
2
No
829
8
93
Given count
732
829
0
8
0.884
0.433
Recieved more money to .. since round 1
Both the primary male and female respondents.
Apart from the money you receive regularly, have you received any more money from [ID] since [round 1]?
If answer is 2 > End.
733
828
1
Yes
464
2
No
176
8
93
Sysmiss
828
Count of spouse
557
1004
0
6
1.478
1.176
Transfers & Credits
2434
0
1
Yes
2
No
Household ID
Household ID
2434
0
Respondent ID
Respondent ID
2434
0
Day of interview
Date of Interview. Day.
2434
0
Month of interview
Date of Interview. Month.
2434
0
Year of interview
Date of Interview. Year.
2434
0
R1: Day of interview
Date of Round 1 interview. Day.
2433
1
R1: Month of interview
Date of Round 1 interview. Month.
2433
1
R1: Year of interview
Date of Round 1 interview. Year.
2433
1
Line number
Now I’d like to ask you about all transfers and loans you have received since [round 1]. Please tell me about each one separately.
NOTE: if the same person gave several times, list EACH transfer from that person separately.
7
2427
Individual roster ID
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.
2434
0
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)?
2434
0
10
300000
1506.626
7930.245
Month received the amount
Both the primary male and female respondents.
When did you receive this amount? Month.
Year should be 2004.
2434
0
Year received the amount
Both the primary male and female respondents.
When did you receive this amount? Year.
Year should be 2004.
2434
0
Main reason received money
Both the primary male and female respondents.
What was the main reason for receiving this money or goods?
2434
0
1
Wedding expenses
15
2
Loan repayment
21
3
Transportation
231
4
Subsistence needs
1457
5
Purchase of durable goods
29
6
Investment
139
7
Funeral
117
8
Gift
250
9
No specific reason
12
10
Other (specify)
163
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).
163
0
BEDDINGS
1
BOND
1
BUY CLOTH
1
BUY MEDICINE
2
CEREMONY EXPENSES
1
CHILD SUPPORT
1
CHRISTMAS SHOPING
2
CHRISTMAS SHOPPING
1
CIRCUMCISION
2
CIRCUMCISION CEREMON
2
CLOTHINGS
1
COMPLETION OF HOUSE
1
CONSTRUCTION WORK
1
DOWERY
1
DOWRY
2
FOR HARVEST
1
FOR MEDICATION
1
FOR WATER PROJECT
1
GROUP CONTRIBUTION
1
HARVEST
1
HARVESTING
1
HARVESTING EXPENSES
1
HEALTH EXPENSE
1
HEALTH EXPENSES
15
HOUSE MAINTAINANCE
1
HOUSE RENT
3
LOAN
3
LOAN FOR FEES
1
LOAN FOR HH MAINTANA
1
LOAN FOR INVESTMENT
1
LOAN FOR SCHOOL FEES
1
LOAN FOR SHOPING
1
LOAN FOR SUBSISTANCE
1
LUNCH
1
MEDICAL
47
MEDICAL BILL
1
MEDICAL CARE
4
MEDICAL EXPENSE
1
MEDICAL EXPENSES
9
MEDICATION
1
MEDICATION FOR ID 02
2
MEDICINE FOR ID 04
1
PLANTING
2
PURCHASE FUNGICIDE
1
RENOVATE HOUSE
1
RENT
5
REPAIR LORRY
1
SCHOOL EXPENSES
8
SCHOOL FEES
9
SHOPING
1
SUBSISTANCE NEEDS
1
TO BUY MEDICINE ID10
1
TO BUY NAILS
1
TO CONSTRUCT TOILET
2
TO HARVEST MAIZE
1
TO PAY HOUSE GIRL
1
TO PAY MERRY GO ROUN
1
TO PAY RENT
2
TREATED COW
1
WELL CONSTRUCTION
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.
2434
0
1
Yes
365
2
No
2056
8
13
How much has been repaid
Both the primary male and female respondents.
How much has been already repaid? Amount (KSh).
365
2069
0
30000
1217.616
2855.222
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).
364
2070
0
200000
1876.464
11137.114
Transfers & Credits
226
0
1
Yes
226
2
No
0
Household ID
Household ID
226
0
Respondent ID
Respondent ID
226
0
Day of interview
Date of Interview. Day.
226
0
Month of interview
Date of Interview. Month.
226
0
Year of interview
Date of Interview. Year.
226
0
R1: Day of interview
Date of Round 1 interview. Day.
226
0
R1: Month of interview
Date of Round 1 interview. Month.
226
0
R1: Year of interview
Date of Round 1 interview. Year.
226
0
Count
Both the primary male and female respondents.
0
226
Name of organization
Both the primary male and female respondents.
What is the name of the organization?
226
0
1
Government
14
2
Clan
1
3
Other (specify)
199
4
Microfinance group (K-Rep, etc)
11
8
1
Name of organisation (other)
Both the primary male and female respondents.
What is the name of the organization? Other (specify).
199
0
How frequently received transfers
Both the primary male and female respondents.
How frequently did you receive these transfers since [round 1]?
226
0
1
once a week
70
2
every two weeks
7
3
once a month
89
4
every three months
6
5
every six months
1
6
once a year
28
7
less than once a year
24
8
1
Amount received each time
Both the primary male and female respondents.
What amount did you receive each time, on average?
226
0
70
700000
16253.354
67184.479
Transfers & Credits
1525
0
1
Yes
1525
2
No
0
Household ID
Household ID
1525
0
Respondent ID
Respondent ID
1525
0
Day of interview
Date of Interview. Day.
1525
0
Month of interview
Date of Interview. Month.
1525
0
Year of interview
Date of Interview. Year.
1525
0
R1: Day of interview
Date of Round 1 interview. Day.
1525
0
R1: Month of interview
Date of Round 1 interview. Month.
1525
0
R1: Year of interview
Date of Round 1 interview. Year.
1525
0
Line number
Now I’d like to ask you about all transfers and loans you have made since [round 1]. Please tell me about each one separately.
NOTE: if the same person received several times, list EACH transfer to that person separately.
1
1524
Individual roster ID
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.
1525
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)?
1525
0
10
200000
1260.118
5852.101
When send money - Month
Both the primary male and female respondents.
When did you send this amount? Month.
Year should be 2004.
1525
0
When ssnd money - Year
Both the primary male and female respondents.
When did you send this amount? Year.
Year should be 2004.
1525
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?
1525
0
1
Wedding expenses
315
2
Loan repayment
36
3
Transportation
63
4
Subsistence needs
566
5
Purchase of durable goods
30
6
Investment
119
7
Funeral
25
8
Gift
258
9
No specific reason
8
10
Other (specify)
105
Main reason send this money/goods (Other)
Both the primary male and female respondents.
What was the main reason for sending this money or goods? Other (specify).
105
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.
1525
0
1
Yes
273
2
No
1237
8
15
How much has alread been repaid
Both the primary male and female respondents.
How much has been already repaid? Amount (KSh).
273
1252
0
50000
1116.886
3889.939
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? Amount (KSh).
273
1252
0
200000
2272.399
12469.603
Transfers & Credits
643
0
1
Yes
643
2
No
0
Household ID
Household ID
643
0
1
91725
1314.473
6252.528
1
1
3
2
4
1
5
1
6
2
7
1
8
1
9
1
10
2
12
1
13
1
14
1
16
1
17
1
18
2
19
1
20
1
21
1
22
1
27
1
29
2
30
1
32
1
34
1
38
1
39
1
41
1
44
1
48
1
50
1
53
2
60
2
62
1
64
2
65
1
67
2
69
2
70
1
75
1
76
2
80
1
82
2
93
2
94
1
95
1
103
1
104
2
106
1
109
1
110
1
112
1
115
2
117
2
151
1
152
2
154
1
156
1
158
2
162
1
167
1
173
1
174
1
201
2
203
1
204
2
206
1
207
1
208
1
209
2
210
1
211
1
213
2
217
1
218
1
221
1
222
1
223
1
250
1
251
2
252
1
253
1
256
1
257
2
258
1
259
1
260
1
261
1
262
1
263
1
264
1
265
1
266
1
267
1
268
1
269
1
275
1
276
1
277
1
279
2
280
2
281
1
282
1
300
1
301
1
302
1
304
1
306
1
309
1
310
1
314
1
318
2
352
2
353
2
354
1
355
1
357
1
360
2
361
1
362
1
365
1
366
1
368
1
400
1
402
2
404
1
406
1
407
1
410
2
412
2
417
1
419
1
421
1
423
2
428
1
429
1
430
1
431
2
438
1
452
1
454
2
456
1
457
1
459
1
460
2
462
2
465
2
466
1
467
1
468
2
469
1
475
1
476
2
477
1
479
2
480
2
481
1
482
1
483
1
484
1
486
1
500
1
501
1
504
1
508
2
511
1
512
1
514
1
516
1
518
2
519
1
520
1
521
1
522
2
524
2
525
1
526
1
527
1
528
1
529
2
531
1
532
1
533
2
534
1
535
1
540
1
544
1
545
1
546
2
550
1
551
2
552
1
554
1
556
1
557
1
560
2
564
1
566
2
591
1
593
1
595
1
597
2
600
2
603
2
604
1
605
2
607
2
609
1
610
1
611
2
614
1
615
1
616
3
618
1
620
1
621
2
622
1
623
1
624
1
625
2
626
1
627
1
630
1
632
1
633
1
634
2
635
1
637
1
658
1
660
2
667
1
670
1
673
1
674
1
675
2
676
1
677
1
679
1
680
2
682
1
687
1
689
1
691
1
692
1
693
1
696
1
697
1
698
2
699
2
700
1
702
2
706
1
707
1
709
1
710
1
711
2
712
1
715
1
716
1
717
2
720
1
721
2
723
1
727
2
728
1
731
2
732
1
733
1
739
1
740
1
742
2
746
1
748
2
751
1
752
1
755
1
757
1
766
1
776
1
779
1
780
2
781
1
790
1
793
1
801
1
806
1
811
1
813
1
814
1
829
1
835
1
844
1
846
1
847
1
850
1
902
1
905
1
913
1
915
1
918
1
932
1
940
1
941
1
947
1
958
1
967
1
974
1
975
1
979
1
985
2
986
1
987
1
989
1
992
1
996
1
1000
1
1002
1
1013
1
1026
1
1100
1
1102
1
1104
1
1106
1
1107
1
1108
1
1110
1
1115
1
1116
1
1118
1
1119
1
1120
2
1121
1
1122
1
1124
1
1125
1
1126
1
1130
1
1131
1
1136
1
1138
2
1139
1
1141
2
1142
1
1143
1
1151
1
1152
1
1153
1
1154
1
1155
1
1157
1
1159
1
1160
2
1161
1
1167
1
1171
1
1200
1
1202
1
1204
2
1205
1
1208
1
1209
1
1211
1
1214
1
1215
1
1216
1
1219
2
1220
2
1221
2
1223
1
1227
1
1228
2
1229
1
1230
1
1231
1
1232
2
1234
1
1235
2
1236
1
1239
2
1241
2
1245
1
1246
1
1247
2
1248
2
1249
1
1250
1
1251
1
1254
1
1255
1
1261
2
1264
1
1265
1
1266
1
1269
2
1270
2
1272
1
1273
1
1274
1
1275
2
1278
2
1279
1
1281
1
1282
1
1283
1
1284
1
1285
1
1501
1
1502
2
1504
1
1508
1
1523
1
1525
1
1543
1
1545
1
1548
1
1549
1
1550
1
1551
1
1556
1
1562
2
1569
1
1572
2
1577
1
1580
1
1582
1
1584
1
1585
1
1587
1
1590
1
1592
1
1596
1
1598
1
1603
1
1605
1
1607
1
1608
1
1611
1
1613
1
1615
1
1621
2
1626
1
1628
1
1629
1
1632
1
1638
1
1640
1
1641
1
1643
1
1645
2
1647
1
1648
1
1649
1
1654
1
1655
2
1667
1
1671
1
1672
2
1674
2
1675
1
1678
1
1681
2
1682
1
1687
1
1688
1
1689
1
1692
3
1694
1
1699
1
1701
1
1703
1
1705
2
1706
1
1708
1
1711
1
1719
1
1723
1
1725
3
1727
1
1728
1
1729
1
1742
1
1745
1
1748
1
1750
1
1754
1
1755
1
1758
1
1760
1
1763
1
1766
1
1774
1
1777
1
1780
1
1781
2
1788
1
1790
1
1791
1
1792
1
1793
1
1799
1
1804
1
1808
2
1809
2
1812
1
1820
1
1826
1
1827
1
1828
1
1829
2
1832
1
1835
2
1839
1
1840
1
1845
1
1848
1
1850
1
1852
2
1853
1
9043
1
9166
1
9212
1
9616
1
91655
1
91692
1
91725
1
Respondent ID
Respondent ID
643
0
Day of interview
Date of Interview. Day.
643
0
Month of interview
Date of Interview. Month.
643
0
Year of interview
Date of Interview. Year.
643
0
R1: Day of interview
Date of Round 1 interview. Day.
642
1
R1: Month of interview
Date of Round 1 interview. Month.
642
1
R1: Year of interview
Date of Round 1 interview. Year.
642
1
ID code of spouse
Both the primary male and female respondents.
ID code of spouse
2
641
ID code of spouse
Both the primary male and female respondents.
ID code of spouse
643
0
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 6 (trd06 - variable name in dataset).
643
0
1
Yes
375
2
No
268
How much give - Amount
Both the primary male and female respondents.
How much do you give [ID] regularly? Amount.
375
268
10
8000
885.989
1313.43
How much give - Frequency
Both the primary male and female respondents.
How much do you give [ID] regularly? Frequency code.
375
268
1
once a week
186
2
every two weeks
28
3
once a month
160
4
every three months
1
5
every six months
0
6
once a year
0
7
less than once a year
0
Sysmiss
268
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.
375
268
1
medical care
3
2
funeral expenses
0
3
school expenses
1
4
wedding expenses
0
5
transportation
3
6
household maintenance
163
7
subsistence needs
193
8
purchase of a durable good
1
9
investment
2
10
other (specify)
9
Sysmiss
268
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.
213
430
1
medical care
4
2
funeral expenses
0
3
school expenses
0
4
wedding expenses
1
5
transportation
1
6
household maintenance
38
7
subsistence needs
164
8
purchase of a durable good
4
9
investment
0
10
other (specify)
1
Sysmiss
430
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.
23
620
1
medical care
0
2
funeral expenses
0
3
school expenses
0
4
wedding expenses
0
5
transportation
2
6
household maintenance
5
7
subsistence needs
3
8
purchase of a durable good
12
9
investment
1
10
other (specify)
0
Sysmiss
620
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).
10
0
Transfers & Credits
863
0
1
Yes
863
2
No
0
Household ID
Household ID
863
0
Respondent ID
Respondent ID
863
0
Day of interview
Date of Interview. Day.
863
0
Month of interview
Date of Interview. Month.
863
0
Year of interview
Date of Interview. Year.
863
0
R1: Day of interview
Date of Round 1 interview. Day.
862
1
R1: Month of interview
Date of Round 1 interview. Month.
862
1
R1: Year of interview
Date of Round 1 interview. Year.
862
1
ID code of spouse
Both the primary male and female respondents.
ID code of spouse
2
861
ID code of spouse
ID code of spouse
863
0
How much did you give
Both the primary male and female respondents.
How much did you give [ID]?
863
0
10
100000
2013.116
5909.192
When did give amount - Month
Both the primary male and female respondents.
When did you give this amount to [ID]? Month.
* Year must be 2004.
863
0
When did give amount - Year
Both the primary male and female respondents.
When did you give this amount to [ID]? Year.
* Year must be 2004.
863
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 12 (trd12a - variable name in dataset).
863
0
1
Yes
18
2
No
834
8
11
How much more expect to pay back
Both the primary male and female respondents.
How much more do you expect [ID] to pay back?
27
836
0
75000
3530.593
14424.039
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.
863
0
1
medical care
66
2
funeral expenses
2
3
school expenses
42
4
wedding expenses
9
5
transportation
118
6
household maintenance
98
7
subsistence needs
209
8
purchase of a durable good
145
9
investment
73
10
other (specify)
99
98
1
99
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.
150
713
1
medical care
4
2
funeral expenses
0
3
school expenses
6
4
wedding expenses
0
5
transportation
14
6
household maintenance
49
7
subsistence needs
50
8
purchase of a durable good
21
9
investment
1
10
other (specify)
5
Sysmiss
713
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.
24
839
1
medical care
1
2
funeral expenses
0
3
school expenses
2
4
wedding expenses
0
5
transportation
1
6
household maintenance
5
7
subsistence needs
10
8
purchase of a durable good
3
9
investment
1
10
other (specify)
1
Sysmiss
839
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).
104
0
Transfers & Credits
639
0
1
Yes
2
No
Household ID
Household ID
639
0
Respondent ID
Respondent ID
639
0
Day of interview
Date of Interview. Day.
639
0
Month of interview
Date of Interview. Month.
639
0
Year of interview
Date of Interview. Year.
639
0
R1: Day of interview
Date of Round 1 interview. Day.
639
0
R1: Month of interview
Date of Round 1 interview. Month.
639
0
R1: Year of interview
Date of Round 1 interview. Year.
639
0
ID code of spouse
Both the primary male and female respondents.
ID code of spouse
2
637
ID code of spouse
Both the primary male and female respondents.
ID code of spouse
639
0
Recieve money or goods regularly
Both the primary male and female respondents.
Do you receive money or goods from [ID] regularly?
639
0
1
315
2
323
8
1
How much receive - Amount
Both the primary male and female respondents.
How much do you received from [ID] regularly? Amount.
316
323
50
10000
935.759
1272.007
How much recieve - Frequency
Both the primary male and female respondents.
How much do you received from [ID] regularly? Frequency code.
316
323
1
once a week
72
2
every two weeks
12
3
once a month
229
4
every three months
0
5
every six months
1
6
once a year
0
7
less than once a year
0
8
2
Sysmiss
323
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.
316
323
1
medical care
5
2
funeral expenses
0
3
school expenses
1
4
wedding expenses
0
5
transportation
5
6
household maintenance
134
7
subsistence needs
160
8
purchase of a durable good
0
9
investment
4
10
other (specify)
6
98
1
Sysmiss
323
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.
142
497
1
medical care
2
2
funeral expenses
0
3
school expenses
1
4
wedding expenses
0
5
transportation
7
6
household maintenance
26
7
subsistence needs
103
8
purchase of a durable good
1
9
investment
0
10
other (specify)
2
Sysmiss
497
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.
11
628
1
medical care
4
2
funeral expenses
0
3
school expenses
0
4
wedding expenses
0
5
transportation
1
6
household maintenance
0
7
subsistence needs
4
8
purchase of a durable good
0
9
investment
0
10
other (specify)
2
Sysmiss
628
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).
10
0
Transfers & Credits
823
0
1
Yes
823
2
No
0
Household ID
Household ID
823
0
Respondent ID
Respondent ID
823
0
Day of interview
Date of Interview. Day.
823
0
Month of interview
Date of Interview. Month.
823
0
Year of interview
Date of Interview. Year.
823
0
R1: Day of interview
Date of Round 1 interview. Day.
823
0
R1: Month of interview
Date of Round 1 interview. Month.
823
0
R1: Year of interview
Date of Round 1 interview. Year.
823
0
Line number
ID code of spouse
2
821
ID code of spouse
ID code of spouse
823
0
How much did you receive
Both the primary male and female respondents.
How much did you receive from [ID]?
823
0
1
80000
1324.592
4110.931
When did receive amount - Month
Both the primary male and female respondents.
When did you receive this amount from [ID]? Month.
* Year must be 2004.
823
0
When did receive amount - Year
Both the primary male and female respondents.
When did you receive this amount from [ID]? Year.
* Year must be 2004.
823
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 24 (trd24a - variable name in dataset).
823
0
1
Yes
30
2
No
792
8
1
How much more expect to pay back
Both the primary male and female respondents.
How much more do you expect to pay back?
31
792
0
10000
878.903
1968.207
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
823
0
1
medical care
38
2
funeral expenses
2
3
school expenses
35
4
wedding expenses
7
5
transportation
103
6
household maintenance
48
7
subsistence needs
415
8
purchase of a durable good
51
9
investment
65
10
other (specify)
59
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
53
770
1
medical care
4
2
funeral expenses
0
3
school expenses
0
4
wedding expenses
0
5
transportation
5
6
household maintenance
16
7
subsistence needs
19
8
purchase of a durable good
5
9
investment
1
10
other (specify)
3
Sysmiss
770
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
3
820
1
medical care
0
2
funeral expenses
0
3
school expenses
0
4
wedding expenses
0
5
transportation
0
6
household maintenance
1
7
subsistence needs
0
8
purchase of a durable good
2
9
investment
0
10
other (specify)
0
Sysmiss
820
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).
62
0
Knowledge & behavior module
1559
0
1
Yes
1559
2
No
0
Household ID
Household ID
1559
0
Respondent ID
Respondent ID
1559
0
Day of interview
Date of Interview. Day.
1559
0
Month of interview
Date of Interview. Month.
1559
0
Year of interview
Date of Interview. Year.
1559
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?
1559
0
1
Less
2
Same
3
More
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.
1559
0
5
99
42.385
19.732
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?
1559
0
1
Yes
1304
2
No
138
8
2
9
115
99
Don’t Know
0
Personally know someone who has died from AIDS
The household head and spouse.
Since [Round 1], has anybody known to you personally died from AIDS?
Go to 5 (kb05 - variable name in dataset).]]>
1559
0
1
Yes
723
2
No
833
8
3
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.
724
835
1
Household member
19
2
Relative in this Division
57
3
Relative elsewhere
55
4
Non-relative in this Division
468
5
Non-relative elsewhere
124
8
1
Sysmiss
835
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?
1557
2
0
99
6.322
8.951
Personally know anyone who received or currently receiving t
The household head and spouse.
Since [Round 1], has anybody known to you personally begun to receive treatment for AIDS?
Go to 7 (kb07 - variable name in dataset).]]>
1558
1
1
Yes
720
2
No
837
8
1
Sysmiss
1
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.
721
838
1
Household member
61
2
Relative in this Division
78
3
Relative elsewhere
26
4
Non-relative in this Division
477
5
Non-relative elsewhere
78
8
1
Sysmiss
838
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?
721
838
1
Recovered / Improved
656
2
Remained sick
31
3
Got more sick
3
4
Too early to tell
21
5
Died
8
98
1
99
Don’t Know
1
Sysmiss
838
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?
1558
1
1
Easily available
1172
2
Available, but not for everyone who needs it
207
3
Not available at all
40
8
1
9
138
99
Don’t Know
0
Sysmiss
1
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?'
1559
0
Do any member regularly use mosquito nets
The household head and spouse.
Do any of your household members regularly use mosquito nets when sleeping?
1559
0
1
Yes
425
2
No
1130
8
4
Ever been tested for HIV
The household head and spouse.
Have you ever been tested for HIV?
If answer is 2 or 99 > Go to 16 (kbb16 - variable name in dataset).
1559
0
1
Yes
795
2
No
760
8
3
9
1
99
Don’t Know
0
How many times been tested for HIV
The household head and spouse.
How many times have you been tested for HIV?
If tested only once > Go to 8 (kbb08m - variable name in dataset).
795
764
Month when tested for HIV
The household head and spouse.
When was the FIRST time you were tested for HIV? Month.
159
1400
1
99
22.742
35.431
1
9
2
10
3
12
4
13
5
8
6
13
7
14
8
16
9
7
10
4
11
16
12
9
98
4
99
24
Sysmiss
1400
Year when tested for HIV
The household head and spouse.
When was the FIRST time you were tested for HIV? Year.
156
1403
99
Don't Know
0
1995
1
1996
2
1997
2
1998
3
1999
8
2000
11
2001
14
2002
28
2003
38
2004
43
2005
6
Sysmiss
1403
Where tested for HIV
The household head and spouse.
156
1403
1
VCT clinic
110
2
Antenatal clinic
24
3
Other (specify)
21
4
Won’t say
0
9
1
Sysmiss
1403
Where tested for HIV (Other)
The household head and spouse.
Did your first HIV test take place at a VCT clinic, antenatal clinic, or elsewhere? Other (specify).
21
0
ELDORET
2
ELDORET HOSPITAL LAB
1
HOSPITAL LABARATORY
1
HOSPITAL LABORATORY
1
HOSPITAL WHEN SICK
1
KAKAMEGA
1
KAPSABET
1
LAB
4
LAB ELDORET
3
LAB ELDY
1
MISSION HOSPITAL
1
MOSORIOT HC LAB
1
NAIROBI
1
NAKURU BARRACKS
1
PRIVATE CLINIC
1
What was the result of HIV test
The household head and spouse.
What was the result of your first HIV test?
*Emphasize confidentiality when asking this question.
157
1402
1
HIV-Positive
76
2
HIV-Negative
76
3
Won’t say
0
8
1
9
4
Sysmiss
1402
HIV result came as a surprise
The household head and spouse.
153
1406
1
Same as expected
74
2
Surprised – worse than expected
48
3
Surprised – better than expected
30
4
Won’t say
0
8
1
Sysmiss
1406
When was the most recent test - Month
The household head and spouse.
798
761
1
99
11.539
21.87
1
70
2
52
3
68
4
76
5
73
6
62
7
63
8
81
9
67
10
40
11
55
12
45
98
2
99
44
Sysmiss
761
When was the most recent test - Year
The household head and spouse.
797
762
98
1
99
Don't Know
0
1990
1
1996
1
1998
3
1999
3
2000
12
2001
18
2002
53
2003
178
2004
406
2005
121
Sysmiss
762
Where tested for HIV most recently
The household head and spouse.
Where did you get tested for HIV most recently?
798
761
1
Mosoriot Health Center
681
2
Turbo Health Center
2
3
Burnt Forest Health Center
2
4
Eldoret
40
5
Kapsabet
35
6
Kisumu
2
7
Other (specify)
35
8
1
99
Don’t know
0
Sysmiss
761
Where tested for HIV most recently (Other)
The household head and spouse.
Where did you get tested for HIV most recently? Other (specify).
35
0
CHEPTERIT
1
CHEPTERIT DISPENSARY
1
CHEPTERIT HC
1
CHEPTERIT MISSION
1
ITIGO MOBILE VCT
1
KIPNGOROR PRIVATE
1
KITALE(PRIVATE)
1
LELMOKWO
10
LELMOKWO DISPENSARY
2
MATTER HOSPITAL NRB
1
MISSION HOSPITAL
2
MOI AIRBASE NAIROBI
1
NAIROBI
3
NAKURU
1
NAKURU BARRACKS
1
NANDI HILLS
4
PRIVATE DOCTOR
1
SABATIA EYE HOSPITAL
1
SABATIA HEALTH CENTR
1
Where tested recently
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 12 (kbb12 - variable name in dataset).
798
761
1
VCT clinic
609
2
Antenatal clinic
128
3
Other (specify)
59
4
Won’t say
0
8
2
Sysmiss
761
Where tested recently (Other)
The household head and spouse.
Did your most recent HIV test take place at a VCT clinic, antenatal clinic, or elsewhere? Other (specify).
58
0
BLOOD BANK DONATION
1
HOSP WHEN SICK
1
HOSPITAL
1
HOSPITAL LABORATORY
1
HOSPITALS LAB
1
LAB
39
LAB DISPENSARY
1
LAB ELDORET
2
LAB HOSPITAL
1
LAB KAPSABET
2
LAB TEST
1
MAMLIN
1
MATERNITY WARD
1
MOSORIOT LABORATORY
1
NAIROBI HOSPITAL
1
PRIVATE DOCTOR
1
PRIVATE HOSPITAL LAB
1
PRIVATE LAB ELDORET
1
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?
669
890
1
partner suspected to be unfaithful
27
2
have had multiple partners
11
3
to get married
3
4
sick before test
410
5
spouse encouraged
32
6
friend encouraged
28
7
attended baraza
5
8
Other (specify)
153
Sysmiss
890
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).
153
0
ADVICED DURING TBA
1
ASKED BY DOCTOR
1
ASKED TO BE TESTED
1
ASKED TO GO BACK
1
BE SURE SHE HIV -VE
1
BLOOD DONATION
1
BROTHERS ENCOURAGED
1
CHECK UP
1
CHILD HIV +VE
1
CHILD SUSPECT HIV+
1
CHILD TESTED POSITIV
1
CHILD WAS SICK
1
COMPULSORY
1
CONFIRM
2
CONFIRM HER STATUS
2
CONFIRM RESULT
1
CONFIRMATION
1
COWIFE HIV+
1
CURIOSITY
1
DAUGHTER TESTED +VE
1
DIDNT TRUST 1ST TEST
1
DOCTOR ENCOURAGED
1
DOCTOR REQUESTED
1
DONATE BLOOD
1
DONATE BLOOD TO SIS
1
ENCOURAGED
1
FATHER ENCOURAGED
1
GOING ABROAD
1
HUSBAND DIED
3
HUSBAND DIED OF HIV
2
HUSBAND HIV POSITIVE
4
HUSBAND POSITIVE
1
HUSBAND SICK
4
HUSBAND WAS POSITIVE
1
HUSBAND WAS SICK
1
ID 05 HAD BEEN SICK
1
JOB REQUIREMENT
2
KNOW HER STATUS
1
KNOW HIS STATUS
1
KNOW STATUS
5
NO TRUST 1ST TEST
1
OWN CHOICE
1
OWN WILL
1
PARTNER DIED
3
PARTNER HIV POSITIVE
1
PARTNER SICK
3
PARTNER SUSPECTED
1
PARTNER WAS SICK
3
PREDELIVERY
1
REFERRED
1
REFFERED TO MTRH
1
REVISIT AFTER 3 MTHS
1
ROLE MODEL
1
ROUTINE CHECK UP
1
SISTER ENCOURAGED
1
SPOUSE DIED
16
SPOUSE DIED OF AIDS
4
SPOUSE DIED OF HIV
1
SPOUSE HAD DIED
6
SPOUSE HIV POSITIVE
2
SPOUSE HIV+
2
SPOUSE SICK
8
START TREATMENT
9
SUSPECT SPOUSE DEATH
1
TB
1
TO CONFIRM RESULTS
1
TO CONFIRM STATUS
2
TO DONATE BLOOD
1
TO KNOW HER STATUS
3
TO KNOW HIS STATUS
1
TO KNOW STATUS
5
TO KNOW THE STATUS
3
TO START TREATMENT
1
UNCLE ENCOURAGED
1
WANTED TO KNOW STATU
1
WIFE WAS SICK
1
WORK
6
What was the result of the test
The household head and spouse.
What was the result of your HIV test?
* emphasize confidentiality when asking this question.
797
762
1
HIV-Positive
563
2
HIV-Negative
228
3
Won’t say
3
8
2
9
1
Sysmiss
762
HIV cam as a surprise
The household head and spouse.
Please think back to the time of your most recent HIV test. Did your test result come as a surprise to you, or was it the same as what you had expected prior to the test?
797
762
1
Same as expected
471
2
Suprised - worse
273
3
Surprise - better
48
4
Won't say
2
8
3
Sysmiss
762
Have informed spouse about HIV status
Have you informed your spouse (or main partner) about your HIV status?
* include spouse/partner at time of test
798
761
1
Yes
476
2
No
108
3
N/A (no spouse or main partner)
211
8
3
Sysmiss
761
Who else informed - A
The household head and spouse.
Who else have you informed about your status?
*list the 3 people that were informed first.
486
0
0
2
01
24
02
15
03
11
04
5
05
4
06
5
07
3
08
3
09
1
10
3
12
1
13
1
14
1
R01
120
R02
56
R03
69
R04
57
R05
40
R06
32
R07
16
R08
11
R09
3
R10
2
R11
1
Who else informed - B
The household head and spouse.
Who else have you informed about your status?
*list the 3 people that were informed first.
311
0
0
2
01
1
02
20
03
13
04
14
05
4
06
3
07
2
08
1
09
5
10
1
12
2
13
1
19
1
R01
17
R02
65
R03
33
R04
34
R05
28
R06
27
R07
15
R08
11
R09
2
R10
7
R11
1
R13
1
Who else informed - C
The household head and spouse.
Who else have you informed about your status?
*list the 3 people that were informed first.
172
0
0
1
01
3
02
4
03
8
04
6
05
8
06
5
07
6
08
2
09
1
10
2
11
2
13
1
14
1
17
1
R01
7
R02
11
R03
15
R04
20
R05
22
R06
17
R07
9
R08
8
R09
3
R10
3
R11
4
R12
2
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?
1559
0
1
High
562
2
Moderate
43
3
Low
371
4
No risk at all
544
8
3
9
36
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?
1559
0
0
100
42.502
45.395
Sexually active since round 1
The household head and spouse.
If answer is 2 > Go to 4 (behavior_c4 - variable name in dataset) or section D (kbd01 - variable name in dataset) if no partner.
1559
0
1
Yes
863
2
No
426
8
270
Have had any sexual partner other than spouse
The household head and spouse.
Since [round 1], that is in the past […] months, have you had any sexual partners other that your spouse(s) or main partner?
If answer is 2 > Go to 4 (kbd04 - variable name in dataset).
1133
426
1
Yes
40
2
No
822
8
271
Sysmiss
426
Partners including spouse since round 1
The household head and spouse.
How many different sexual partners (including your spouse) have you had since [round 1], in the past […] months?
Men under 59 yrs and women under 49 yrs.
39
1520
1
98
4.385
15.398
Count of partners/spouse
The household head and spouse.
1559
0
Infected with HIV virus is a sign of weak character
The household head and spouse.
1559
0
1
strongly agree
759
2
agree somewhat
497
3
feel neutral
49
4
disagree
169
5
strongly disagree
73
8
4
9
8
Feel ashamed of having HIV
The household head and spouse.
1559
0
1
strongly agree
351
2
agree somewhat
331
3
feel neutral
71
4
disagree
589
5
strongly disagree
212
8
5
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.
1559
0
1
strongly agree
369
2
agree somewhat
405
3
feel neutral
205
4
disagree
454
5
strongly disagree
116
8
7
9
3
Feel angry with self for having inflicted
The household head and spouse.
1559
0
1
strongly agree
178
2
agree somewhat
259
3
feel neutral
70
4
disagree
766
5
strongly disagree
281
8
4
9
1
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.
1559
0
1
strongly agree
483
2
agree somewhat
398
3
feel neutral
118
4
disagree
361
5
strongly disagree
188
8
6
9
5
Feel should stay away from children and friends
The household head and spouse.
1559
0
1
strongly agree
44
2
agree somewhat
59
3
feel neutral
14
4
disagree
336
5
strongly disagree
1099
8
5
9
2
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.
1559
0
1
strongly agree
366
2
agree somewhat
499
3
feel neutral
196
4
disagree
413
5
strongly disagree
73
8
5
9
7
Feel disgusted with body
The household head and spouse.
1559
0
1
strongly agree
118
2
agree somewhat
244
3
feel neutral
189
4
disagree
728
5
strongly disagree
271
8
7
9
2
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.
1559
0
1
strongly agree
1013
2
agree somewhat
156
3
feel neutral
89
4
disagree
177
5
strongly disagree
115
8
6
9
3
I should be aloowed to continue teaching in the school
The household head and spouse.
1559
0
1
strongly agree
1275
2
agree somewhat
108
3
feel neutral
35
4
disagree
65
5
strongly disagree
68
8
6
9
2
Knowledge & behavior module
1011
0
1
Yes
1011
2
No
0
Household ID
Household ID
1011
0
Respondent ID
Respondent ID
1011
0
Day of interview
Date of Interview. Day.
1011
0
Month of interview
Date of Interview. Month.
1011
0
Year of interview
Date of Interview. Year.
1011
0
Partner number
Now I would like to ask you several questions regarding you and your spouse/partner, and [if answer to question 2 is YES] for each of your other sexual partners since [Round 1].
Partner #
1011
0
Number
5
1006
1
1
1
0
Partner ID code
HHID or IRID
1006
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.
1011
0
1
Spouse
797
2
Live-in partner
63
3
Partner not living with you
139
4
Casual acquaintance
9
5
Other (specify)
3
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.
3
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.
1011
0
1
Within the past week
456
2
One to four weeks ago
267
3
More than a month ago
288
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.
1011
0
1
Yes
240
2
No
770
8
1
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.
1011
0
1
Yes
182
2
No
617
8
1
9
211
99
Don’t know
0
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.
1011
0
1
Yes
360
2
No
560
3
Don’t know
0
8
1
9
90
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.
361
650
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.
361
650
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.
361
650
1
Yes
358
2
No
3
Sysmiss
650
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.
358
653
1
HIV-Positive
158
2
HIV-Negative
199
3
Won’t say
0
9
1
Sysmiss
653
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.
1011
0
1
High
289
2
Moderate
53
3
Low
324
4
No risk at all
313
9
32
Anthropometric Module done
663
0
1
Yes
663
2
No
0
Household ID
Household ID
663
0
Respondent ID
Respondent ID
663
0
Day of interview
Date of Interview. Day.
663
0
Month of interview
Date of Interview. Month.
663
0
Year of interview
Date of Interview. Year.
663
0
Number of children 5 yrs
663
0
1
5
1.95
0.831
Number of children 12 yrs
663
0
0
7
0.801
1.096
Count of Section C
663
0
0
33
2.519
4.527
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.
5
658
Code of child - Anthropomentric
The primary female respondent.
ID CODE of child
All children that are household members and are 5 years or younger in round 1.
663
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 that are household members and are 5 years or younger in round 1.
662
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 that are household members and are 5 years or younger in round 1.
663
0
1
Yes
587
2
No
76
Day measured
The primary female respondent.
Date of Measurement (DAY/MONTH/YEAR). Day.
All children that are household members and are 5 years or younger in round 1.
587
76
Month measured
The primary female respondent.
Date of Measurement (DAY/MONTH/YEAR). Month.
All children that are household members and are 5 years or younger in round 1.
587
76
Year measured
The primary female respondent.
Date of Measurement (DAY/MONTH/YEAR). Year.
All children that are household members and are 5 years or younger in round 1.
586
77
Weight (KG)
The primary female respondent.
WEIGHT (Kg)
All children that are household members and are 5 years or younger in round 1.
586
77
2.8
98
12.721
4.997
Amount of clothing
The primary female respondent.
Amount of clothing worn by child.
All children that are household members and are 5 years or younger in round 1.
586
77
1
More than normal
2
2
Normal
571
3
Removed some clothing
7
8
6
Sysmiss
77
Height or Length (cm)
The primary female respondent.
HEIGHT or LENGTH (cm)
Go to next child.
All children that are household members and are 5 years or younger in round 1.
586
77
31.5
119.4
88.193
15.854
Reason not measured
The primary female respondent.
Reason not measured?
All children that are household members and are 5 years or younger in round 1.
78
585
1
At school
4
2
At work
0
3
Boarding/traveling
11
4
Serious Illness
0
5
Refusal
20
6
Other
19
7
24
Sysmiss
585
Anthropometric Module done
719
0
1
Yes
719
2
No
0
Household ID
Household ID
719
0
Respondent ID
Respondent ID
719
0
Day of interview
Date of Interview. Day.
719
0
Month of interview
Date of Interview. Month.
719
0
Year of interview
Date of Interview. Year.
719
0
Number of children 5 yrs
719
0
Number of children 12 yrs
719
0
Count of Section C
719
0
Column number
The primary female respondent
0
719
Sysmiss
719
ID code
The primary female respondent
ID CODE of child
719
0
Have a vaccination card
The primary female respondent
If answer is 2 > Go to 12 (ant12 - variable name in dataset).
719
0
1
Yes
174
2
No
542
3
1
8
2
Where received most vaccinations
The primary female respondent
Where did [Name] receive most of the vaccinations?
176
543
1
1
2
14
3
102
4
24
5
16
6
6
7
3
98
10
Sysmiss
543
BCG vaccination - Day
The primary female respondent
BCG. Day.
173
546
BCG vaccination - Month
The primary female respondent
BCG. Month.
173
546
BCG vaccination - Year
The primary female respondent
BCG. Year.
165
554
Polio 0 vaccination - Day
The primary female respondent
Polio 0 (at birth). Day.
173
546
Polio 0 vaccination - Month
The primary female respondent
Polio 0 (at birth). Month.
173
546
Polio 0 vaccination - Year
The primary female respondent
Polio 0 (at birth). Year.
126
593
Polio 1 vaccination - Day
The primary female respondent
Polio 1. Day.
173
546
Polio 1 vaccination - Month
The primary female respondent
Polio 1. Month.
173
546
Polio 1 vaccination - Year
The primary female respondent
Polio 1. Year.
164
555
Polio 2 vaccination - Day
The primary female respondent
Polio 2. Day.
173
546
Polio 2 vaccination - Month
The primary female respondent
Polio 2. Month.
173
546
Polio 2 vaccination - Year
The primary female respondent
Polio 2. Year.
151
568
Polio 3 vaccination - Day
The primary female respondent
Polio 3. Day.
173
546
Polio 3 vaccination - Month
The primary female respondent
Polio 3. Month.
173
546
Polio 3 vaccination - Year
The primary female respondent
Polio 3. Year.
136
583
DPT 1 vaccination - Day
The primary female respondent
DPT 1. Day.
173
546
DPT 1 vaccination - Month
The primary female respondent
DPT 1. Month.
173
546
DPT 1 vaccination - Year
The primary female respondent
DPT 1. Year.
162
557
DPT 2 vaccination - Day
The primary female respondent
DPT 2. Day.
173
546
DPT 2 vaccination - Month
The primary female respondent
DPT 2. Month.
173
546
DPT 2 vaccination - Year
The primary female respondent
DPT 2. Year.
152
567
DPT 3 vaccination - Day
The primary female respondent
DPT 3. Day.
173
546
DPT 3 vaccination - Month
The primary female respondent
DPT 3. Month.
173
546
DPT 3 vaccination - Year
The primary female respondent
DPT 3. Year.
139
580
Measles vaccination - Day
The primary female respondent
Measles. Day.
173
546
Measles vaccination - Month
The primary female respondent
Measles. Month.
173
546
Measles vaccination - Year
The primary female respondent
Measles. Year.
86
633
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).
550
169
1
Yes
532
2
No
7
9
11
Sysmiss
169
Where received most vaccinations
The primary female respondent
Where did [Name] receive most of the vaccinations?
542
177
1
3
2
136
3
63
4
141
5
135
6
17
7
20
9
4
10
2
14
1
15
1
99
19
Sysmiss
177
Received BCG vaccine
The primary female respondent
A BCG vaccine against tuberculosis, that is, an injection in the left arm that caused a scar?
546
173
1
99
8.363
25.85
1
Yes
503
2
No
2
99
Don’t Know
41
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).
585
134
1
99
7.202
23.874
1
Yes
546
2
No
2
99
Don’t Know
37
How many times received polio vaccine
The primary female respondent
How many times?
550
169
1
99
19.698
36.042
When was the first polio vaccine given
The primary female respondent
When was the first vaccine given, just after birth or later?
531
188
1
Just after birth
301
2
Later
176
3
1
9
53
Sysmiss
188
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).
564
155
1
Yes
506
2
No
5
99
Don’t Know
53
Sysmiss
155
How many times received DPT vaccine
The primary female respondent
How many times?
513
206
1
99
17.735
34.703
Received an injection to prevent measles
The primary female respondent
An injection to prevent measles?
Go to next person.
611
108
1
Yes
489
2
No
82
98
6
99
Don’t Know
34
Sysmiss
108
Why not received vaccinations
The primary female respondent
Why did [Name] not receive vaccinations?
43
676
1
Clinic too far away /difficult to get to
2
2
Child or parent was sick
0
3
Vaccine out of stock
2
4
Forgot to take child
2
5
Don’t believe vaccine is effective
0
6
Don’t know about the vaccine
0
7
Other (specify)
36
8
1
Sysmiss
676
Anthropometric Module done
954
0
1
Yes
954
2
No
0
Household ID
Household ID
954
0
Respondent ID
Respondent ID
954
0
Day of interview
Date of Interview. Day.
954
0
Month of interview
Date of Interview. Month.
954
0
Year of interview
Date of Interview. Year.
954
0
Number of children 5 yrs
954
0
0
4
1.751
0.821
Number of children 12 yrs
954
0
1
7
1.841
1.23
Count of Section C
954
0
1
33
11.034
7.949
Line number
The primary female respondent
ID Code
0
954
ID code
The primary female respondent
ID Code
954
0
Age in months
The primary female respondent
Age in months.
954
0
0
22
4.833
3.388
Weight in KG
The primary female respondent
Weight (kg)
954
0
1.8
12.5
6.42
1.912
Marriages module
1606
0
1
Yes
1606
2
No
0
Household ID
Household ID
1606
0
Respondent ID
Respondent ID
1606
0
Day of interview
Date of Interview. Day.
1606
0
Month of interview
Date of Interview. Month.
1606
0
Year of interview
Date of Interview. Year.
1606
0
Biological parents still married
Men and women.
Are your biological parents still married?
Go to 3 (m03 - variable name in dataset).
If answer is 0 > Go to 5 (m05 - variable name in dataset).]]>
1606
0
0
Never married
30
1
Yes
541
2
No
1035
Why are they not still married
Men and women.
Why are they not still married?
1034
572
1
Divorce
8
2
Separation
29
3
Mother died (first)
211
4
Father died (first)
781
8
4
9
1
Sysmiss
572
For how many years have they been married
Men and women.
For how many years were they/have they been married?
1575
31
99
Don’t Know
Type of marriege
Men and women.
What type of marriage did they have?
1576
30
1
Civil
6
2
Church/religious
186
3
Traditional
1340
4
Cohabiting
11
9
33
99
Don’t Know
0
Sysmiss
30
Bilogical mother's religion
Men and women.
What is/was your biological mother’s religion/denomination?
1606
0
0
No religion
114
1
Traditional / Tribal Religion
53
2
Muslim
17
3
Catholic
671
4
Anglican
173
5
Apostolic or New Apostolic Church
4
6
Assembly of God Church
15
7
Baptist Church
2
8
Church of Christ
7
9
Church of God
5
10
Gospel / New Testament / Injili Church
8
11
Harvest Church / Center / Revival
0
12
Hosana Church
0
13
Jehovah's Witnesses
1
14
Legio Maria Church
5
15
Miracle Church / Center / Revival
0
16
NENO or Local Believers Church
2
17
Pentecostal Church
59
18
Roho Church
1
19
Salvation Army Church
14
20
Seventh Day Adventists
121
21
Voice of Salvation Church
1
22
Africa Inland Church
291
23
Quaker/friends Church
9
24
Other
20
99
Don’t Know
13
Bilogical father's religion
Men and women.
What is/was your biological father’s religion/denomination?
1606
0
0
No religion
276
1
Traditional / Tribal Religion
47
2
Muslim
17
3
Catholic
629
4
Anglican
141
5
Apostolic or New Apostolic Church
5
6
Assembly of God Church
12
7
Baptist Church
0
8
Church of Christ
8
9
Church of God
5
10
Gospel / New Testament / Injili Church
3
11
Harvest Church / Center / Revival
0
12
Hosana Church
0
13
Jehovah's Witnesses
0
14
Legio Maria Church
2
15
Miracle Church / Center / Revival
0
16
NENO or Local Believers Church
2
17
Pentecostal Church
41
18
Roho Church
0
19
Salvation Army Church
11
20
Seventh Day Adventists
82
21
Voice of Salvation Church
1
22
Africa Inland Church
251
23
Quaker/friends Church
7
24
Other
11
98
2
99
Don’t Know
53
parents argue with each other
Men and women.
Did your biological parents argue/quarrel with each other frequently?
If answer is 2 > Go to next section.
1606
0
1
Yes
933
2
No
556
8
3
9
114
Ever result in physical violence
Men and women.
Did this ever result in physical violence?
933
673
1
Yes
627
2
No
302
8
3
9
1
Sysmiss
673
Count of marriages
1606
0
0
3
0.695
0.511
Previous marraige count
1606
0
0
2
0.243
0.44
Marriages module
1116
0
1
1116
Household ID
Household ID
1116
0
Respondent ID
Respondent ID
1116
0
Day of interview
Date of Interview. Day.
1116
0
Month of interview
Date of Interview. Month.
1116
0
Year of interview
Date of Interview. Year.
1116
0
Count of marriages
1116
0
1
3
1.07
0.312
Count
3
1113
1
1
1
0
Household ID of partner
Go to section C (marriage_c - name of dataset).]]>
9
1107
HHID/IRID of partner
Please list all of the people you are currently married to or are living with.
* List HHID or IRID of partner
1114
0
Duration been living with this person
How long have you been married to/living with this person? [Number of years]
1116
0
0
99
20.279
16.311
How living arrangement begin
How did this union/living arrangement begin?
1116
0
1
Pre-marital cohabitation
304
2
Church/religious ceremony
244
3
Civil ceremony
59
4
Traditional ceremony
509
5
Inherited spouse
0
6
Other (specify)
0
Living arrangement - Other
0
0
Most recent status of the union
What is the most recent status of the union/living arrangement?
1115
1
1
Cohabitation
128
2
Church/religious ceremony
406
3
Civil ceremony
85
4
Traditional ceremony
496
Sysmiss
1
Currently live in same house
Do you currently live in the same house as this person?
987
129
1
Yes
922
2
No
57
8
8
Sysmiss
129
Year when married
In what year were you married?
Either religious, civil or traditional ceremony.
987
129
99
2004
1966.024
179.78
99
9
1939
1
1942
1
1944
3
1945
2
1946
2
1947
2
1948
4
1949
3
1950
2
1951
1
1952
1
1953
3
1954
5
1955
6
1956
10
1957
2
1958
12
1959
11
1960
15
1961
9
1962
13
1963
16
1964
12
1965
11
1966
10
1967
18
1968
14
1969
10
1970
17
1971
15
1972
9
1973
13
1974
10
1975
25
1976
27
1977
30
1978
17
1979
17
1980
11
1981
8
1982
8
1983
17
1984
28
1985
23
1986
16
1987
27
1988
22
1989
28
1990
29
1991
17
1992
36
1993
30
1994
35
1995
30
1996
23
1997
19
1998
24
1999
29
2000
48
2001
34
2002
28
2003
20
2004
9
Sysmiss
129
Value of gift given by family to spouse family
What was the total value, at that time, of all gifts given by your family to your spouse’s family?
Probe for items and values
986
130
0
400000
11041.43
21979.427
Value of gift given to your family by spouse family
What was the total value, at that time, of all gifts given by your spouse’s family to your family?
Probe for items and values
986
130
0
105000
11190.013
17162.595
Value of gift given to you & your spouse by your family
What was the total value, at that time, of all gifts given by your family to you and your spouse to establish your household?
Probe for items and values
986
130
0
1000000
6731.486
50455.11
Value of gift given to you & your spouse by spouse family
What was the total value, at that time, of all gifts given by your spouse’s family to you and your spouse to establish your household?
Probe for items and values
986
130
0
30000
1596.896
3311.303
Value of gift given to you & your spouse by non-family membe
What was the value of all gifts and assistance given by non-family members to you and your spouse to establish your household?
Probe for items and values
986
130
0
120000
1208.207
4515.993
Value of properties that spouse owned at time of marriage
Aside from these gifts, what was the total value of all things such as houses, money, land, and household goods, that your spouse herself/himself owned at the time of marriage?
986
130
0
2050000
30149.968
134404.819
Value of properties you owned at the time of marriage
Aside from these gifts, what was the total value of all things such as houses, money, land, and household goods, that you yourself owned at the time of marriage?
986
130
0
3450000
26378.743
162358.687
When spouse goes to health facility has permission
1115
1
1
She asks
219
2
She informs
829
3
Goes on own / doesn’t need to inform
65
8
2
99
Don’t Know
0
Sysmiss
1
When spouse goes to market ask for permision
1115
1
1
She asks
211
2
She informs
750
3
Goes on own / doesn’t need to inform
152
8
2
99
Don’t Know
0
Sysmiss
1
When spouse goes to visit others ask for permission
1115
1
1
She asks
32
2
She informs
716
3
Goes on own / doesn’t need to inform
365
8
2
99
Don’t Know
0
Sysmiss
1
Who is responsible for deciding where to get medical treatme
Who is responsible for deciding where to get medical treatment for your children living with you in the household?
1115
1
1
Respondent only
162
2
Spouse only
173
3
Both
758
4
Other resident family member
2
5
Not Applicable (no children)
19
8
1
Sysmiss
1
Discussed ways to prevent malaria
Have you discussed ways to prevent malaria with your spouse?
1115
1
1
Yes
836
2
No
274
8
5
Sysmiss
1
Talked with spouse on how to protect against AIDS
Have you talked to your spouse about what you and he/she can do to protect against AIDS?
If answer is 2 > Go to 21 (mb21 - variable name in dataset).
Men less than 59 years, women less than 49 years.
880
236
1
Yes
753
2
No
108
8
19
Sysmiss
236
What spouse think is the best protection against AIDS
What did he/she think was the best protection against AIDS?
Men less than 59 years, women less than 49 years.
771
345
1
Sex only with spouse
633
2
Condom with spouse/partner
91
3
Condom with extra-marital partner(s)
21
4
Abstain
5
5
Other (specify)
1
8
19
9
1
Sysmiss
345
Best protection - Other
What did he/she think was the best protection against AIDS? Other (specific).
Men less than 59 years, women less than 49 years.
1
0
GET SAVED
1
How often talk with spouse about chances of getting HIV
How often have you talked with your spouse about the chances you or she might get infected with AIDS?
If answer is 4 > Go to 23 (mb23 - variable name in dataset).
Men less than 59 years, women less than 49 years.
879
237
1
Often
225
2
Sometimes
473
3
Rarely
75
4
Never
87
8
19
Sysmiss
237
Last time with spouse about it
When was the last time you talked about it with your spouse?
Men less than 59 years, women less than 49 years.
792
324
1
Within the past week
298
2
Within the past month
297
3
Within the past year
145
4
Within the past five years
20
8
32
88
Don’t recall
0
Sysmiss
324
Would feel confortable suggest the use of condom
Would you feel comfortable suggesting to your partner that you and he/she use condoms?
Men less than 59 years, women less than 49 years.
876
240
1
Yes
510
2
No
345
8
19
9
2
Sysmiss
240
Ever argued with wife/partner
Have you ever argued/quarreled with this wife/partner?
If answer is 2 > Go to section C (marriage_c - name of dataset).
1114
2
1
Yes
857
2
No
247
8
10
Sysmiss
2
How often quarrel
How often do you argue/quarrel with this wife/partner?
If answer is 1 > Go to section C (marriage_c - name of dataset).
867
249
1
Never
3
2
Sometimes
828
3
Often
26
8
10
Sysmiss
249
Main reason quarrel
What is the main reason why you argue or quarrel?
866
250
1
98
4.871
11.219
1
195
2
97
3
58
4
324
5
33
6
11
7
136
98
12
Sysmiss
250
Result in physical violence
Does this ever result in physical violence?
If answer is 2 > Go to section C (marriage_c - name of dataset).
864
252
1
Yes
262
2
No
589
8
13
Sysmiss
252
How frequently has happened in last 12 months
How frequently has this happened in the past 12 months?
276
840
0
98
5.442
21.47
Marriages module
390
0
1
Yes
390
2
No
0
Household ID
Household ID
390
0
Respondent ID
Respondent ID
390
0
Day of interview
Date of Interview. Day.
390
0
Month of interview
Date of Interview. Month.
390
0
Year of interview
Date of Interview. Year.
390
0
Count
2
388
1
1
1
0
Ever been married before
If no previous marriages > Go to next module.
Beside this current marriage, have you ever been married before?
Probe for divorce and death of previous spouses.
389
0
Year when married
In what year were you married?
390
0
How long were married
How long were you married to this person?
390
0
0
99
17.428
15.608
Why no longer married
Why are you no longer married?
If answer is 1, 2 or 4 > Go to 8 (mc08 - variable name in dataset).
390
0
1
Divorce
32
2
Separation
86
3
Spouse died
266
4
Abandoned
6
When spouse died
In what year did the spouse die?
266
124
Why did spouse die
Why did the spouse die?
If answer is 2, 3, 4, 5, 6 or 7 > Go to 8 (mc08 - variable name in dataset).
266
124
1
Illness
229
2
Traffic accident
8
3
Childbirth or complications
4
4
Homicide
6
5
Suicide
2
6
Other accident or injury
8
7
Other (specify)
9
Sysmiss
124
Why spouse died - Other
Why did the spouse die? Other (specify).
9
0
Illness died from
What illness did they die from?
235
155
1
99
14.826
23.196
1
HIV/AIDS
100
2
Asthma
8
3
Bilharzia/ Shistosomiasis
0
4
Cancer
15
5
Diarrhea
1
6
Dysentry
0
7
Fracture/break
0
8
Gnorrhea
2
9
Intestinal Parisites
0
10
Malaria
9
11
Malnutrition (Kwashiorkor/Marasmus)
0
12
Measles
0
13
Meningitis
10
14
Poisoning
0
15
Polio
0
16
Syphilis
0
17
Tetanus
1
18
Tuberculosis
19
19
Typhoid
3
20
Urinary Infection
0
21
Witchcraft
1
22
Other STD (specify)
0
23
Other illness (specify)
44
24
Other injury (specify)
2
99
Don’t know
8
Illness died from - Other
What illness did they die from? Other (specify).
46
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).]]>
390
0
0
98
4.423
5.593
Where children live - With respondent
Where do those children live now? With me.
Enter number of children from marriage in each of the following categories.
346
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.
315
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.
317
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.
314
0
Where children live - Dead
Where do those children live now? Dead.
Enter number of children from marriage in each of the following categories.
315
0
Where children live - Independent
Where do those children live now? Independent.
Enter number of children from marriage in each of the following categories.
335
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.
301
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.
5
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.)
390
0
0
33330000
581916.613
2246342.117
Family background module
1606
0
1
Yes
1606
2
No
0
Household ID
Household ID
1606
0
Respondent ID
Respondent ID
1606
0
Day of interview
Date of Interview. Day.
1606
0
Month of interview
Date of Interview. Month.
1606
0
Year of interview
Date of Interview. Year.
1606
0
First to reside in current village
The household head and the spouse.
If answer is 1 > Go to 3 (fb03 - variable name in dataset).
1606
0
1
Yes
874
2
No
731
8
1
For many years family been living in village
The household head and the spouse.
For approximately how many years has your family lived in this village?
Go to 4 (fb04 - variable name in dataset).
731
875
1
99
65.472
29.307
For how many years been living in village
The household head and the spouse.
For approximately how many years have you lived in this village?
874
732
0
99
19.374
17.605
Family members live in village
The household head and the spouse.
How many members of your family (older than 16 years) live in this village?
* exclude in-laws.
1605
1
0
99
6.082
11.275
Family members live within 1 hour's travell by foot
The household head and the spouse.
How many members of your family (older than 16) live within one hour’s travel by foot?
1605
1
0
99
10.963
16.087
Mother tongue
The household head and the spouse.
What is your mother tongue, i.e. the language you first spoke at home?
1605
1
1
Kalenjin/Nandi
1434
2
Luhya
94
3
Luo
40
4
Kisii
11
5
Kiswahili
3
6
Other (specify)
23
Sysmiss
1
Mother tongue (Other)
The household head and the spouse.
What is your mother tongue, i.e. the language you first spoke at home? Other (specify).
23
0
Tribe
The household head and the spouse.
What is your tribe?
1605
1
1
Kalenjin
1436
2
Luhya
94
3
Luo
40
4
Other (specify)
34
9
1
Sysmiss
1
Tribe (Other)
The household head and the spouse.
What is your tribe? Other (specify).
34
0
Sub-tribe
The household head and the spouse.
What is your sub-tribe?
1605
1
1
Nandi
1283
2
Keiyo
32
3
Kipsigis
70
4
Bukusu
9
5
Other (specify)
209
9
2
Sysmiss
1
Sub-tribe (Other)
The household head and the spouse.
What is your sub-tribe? Other (specify).
209
0
Clan
The household head and the spouse.
What is your clan by birth (for women, before marriage)?
1605
1
1
Koilegei
281
2
Kaptalam
173
3
Kapchepkendi
338
4
Kaaboch
40
5
Tibing’ot
14
6
Kaptumois
87
7
Kamelilo
23
8
Kabiangek
17
9
Kapsiondoek
3
10
Other (specify)
405
99
224
Sysmiss
1
Clan (Other)
The household head and the spouse.
What is your clan by birth (for women, before marriage)?
405
0
Religion
The household head and the spouse.
What is your religion/denomination?
1605
1
0
98
12.056
9.072
0
No religion
14
1
Traditional / Tribal Religion
1
2
Muslim
19
3
Catholic
538
4
Anglican
180
5
Apostolic or New Apostolic Church
6
6
Assembly of God Church
16
7
Baptist Church
3
8
Church of Christ
20
9
Church of God
2
10
Gospel / New Testament / Injili Church
22
11
Harvest Church / Center / Revival
1
12
Hosana Church
0
13
Jehovah's Witnesses
1
14
Legio Maria Church
1
15
Miracle Church / Center / Revival
1
16
NENO or Local Believers Church
3
17
Pentecostal Church
79
18
Roho Church
1
19
Salvation Army Church
15
20
Seventh Day Adventists
238
21
Voice of Salvation Church
1
22
Africa Inland Church
398
23
Quaker/friends Church
6
24
Other
38
Age when left parent's house
The household head and the spouse.
At what age did you first leave your parents’ house (excluding boarding or fostering)?
1605
1
88
still living with parents
Clan, village, religious officece hold
The household head and the spouse.
Please list any clan, village, political, or religious offices/positions (not occupations) you hold.
Go to section II (famback_II - name of dataset).]]>
1605
1
Previllage office gives
The household head and the spouse.
Please describe any privilege this office gives you.
259
1347
Bilogical parents married to each other
The household head and the spouse.
Are/were your biological father/mother married to each other?
1606
0
1
Yes
1551
2
No
53
9
2
Land parents own - Quantity
The household head and the spouse.
How much land do/did your father and mother own? Quantity.
1606
0
0
600
27.239
39.324
Land parents own - Unit
The household head and the spouse.
How much land do/did your father and mother own? Unit codes.
1570
36
0
1
1
acres
1486
2
hectares
1
3
square-feet
0
4
square-meters
0
8
71
9
11
Sysmiss
36
Lived with anyone away from parents
The household head and the spouse.
While you were a child growing up did you live with anyone away from your parents for at least a year?
If answer is 2 > Go to next section (fbd01 - variable name in dataset).
1606
0
1
Yes
441
2
No
1149
8
3
9
13
Times lived away from parents
The household head and the spouse.
441
1165
1
2
1.016
0.125
Have inherited any land
The household head and the spouse.
Go to next section (fbe01 - variable name in dataset).]]>
1606
0
1
Yes
809
2
No
792
8
3
9
2
Count of land
The household head and the spouse.
809
797
1
2
1.016
0.126
Inherited other things
The household head and the spouse.
Have you inherited any other things (such as a house, livestock, farm equipment, or large household items) or do you anticipate any such inheritance?
If answer is 2 > Go to next section.
1606
0
1
Yes
435
2
No
1165
8
4
9
2
Count of other things
The household head and the spouse.
436
1170
0
4
1.31
0.532
Family background module
3212
0
1
Yes
3212
2
No
0
Household ID
Household ID
3212
0
Respondent ID
Respondent ID
3212
0
Day of interview
Date of Interview. Day.
3212
0
Month of interview
Date of Interview. Month.
3212
0
Year of interview
Date of Interview. Year.
3212
0
Father/Mother
Now, I would like to ask you about your biological parents.
3212
0
1
Father
2
Mother
Alive
The household head and the spouse.
Is your father/mother alive?
3212
0
1
Yes
1775
2
No
1417
9
20
99
Don't Know
0
Age
The household head and the spouse.
How old is your father/mother?
Go to 5 (fbb05a - variable name in dataset).
1777
1435
99
Don’t Know
Age when died
The household head and the spouse.
How old was your father/mother when he/she died?
1415
1797
99
Don’t know
The household head and the spouse.
How did your father/mother die?
1414
1798
1
Old age
210
2
Disease/malaria
180
3
Disease/HIV/AIDS
13
4
Other disease/illness (specify)
748
5
Accident
73
6
Homicide
25
7
Other (specify)
50
8
28
9
87
Sysmiss
1798
How died (Other)
The household head and the spouse.
How did your father/mother die? Other (specify).
786
0
District born
The household head and the spouse.
In which district was your father/mother born?
3212
0
1
Uasin-Gishu
221
2
Nandi
2348
3
Keiyo
56
4
Kericho
114
5
Kakamega
76
6
Other (specify)
369
9
28
District born (Other)
The household head and the spouse.
In which district was your father/mother born? Other (specify).
369
0
District lived most of the life
The household head and the spouse.
In which district has/had your father/mother lived most of his/her life?
3212
0
1
Uasin-Gishu
305
2
Nandi
2419
3
Keiyo
24
4
Kericho
47
5
Kakamega
55
6
Other (specify)
333
8
3
9
26
District lived most of the life (Other)
The household head and the spouse.
In which district has/had your father/mother lived most of his/her life? Other (specify).
333
0
Years of school complete - Level
The household head and the spouse.
How many years of school did your father/mother complete? Level.
* Record level and years.
3212
0
0
1723
1
Nursery
18
2
Primary
1033
3
Secondary
88
4
Post-sec.
43
9
307
Years of school complete - Years
The household head and the spouse.
How many years of school did your father/mother complete? Years.
* Record level and years.
3212
0
0
None
99
Don't know
Main occupation
The household head and the spouse.
What is/was your father’s/mother’s main occupation when they were working?
3212
0
0
4
1
Crop farmer
1722
2
Animal farmer
432
3
Housewife
248
4
Trader/merchant/salesperson
162
5
Transport worker
60
6
Construction worker
18
7
Teacher/education professional
63
8
Health professional/TBA/trad. Healer
16
9
Secretary/clerical
11
10
Factory worker
18
11
Restaurant/bar/hotel
17
12
Skilled trades (carpenter, tailor, etc.)
45
13
Preacher/pastor
3
14
Village elder
2
15
Domestic worker
19
16
Civil Servant/Government
288
17
Other (specify)
41
88
No activity/unemployed
3
98
8
99
Don’t Know
32
Occupation - Other
The household head and the spouse.
What is/was your father's/mother's main occupation when they were working? Other (specify).
41
0
Wives father has
The household head and the spouse.
How many wives does/did your father have (including deceased wives)?
If only one wife > Go to 11 (fbb11 - variable name in dataset).
1605
1607
0
9
1.662
1.221
0
never married
Marital rank mother has
The household head and the spouse.
Which marital ranking does/did your mother have?
684
2528
0
8
1.88
1.535
0
never married
The household head and the spouse.
What is the total number of children that you father/mother had?
3211
1
0
99
9.87
11.832
Tribe
The household head and the spouse.
What tribe does/did your father/mother belong to?
3211
1
1
Kalenjin
2842
2
Luhya
196
3
Luo
80
4
Other (specify)
80
8
2
9
11
Sysmiss
1
Tribe (Other)
The household head and the spouse.
What tribe does/did your father/mother belong to? Other (specify).
80
0
Sub-tribe
The household head and the spouse.
What subtribe does/did your father/mother belong to?
3211
1
1
Nandi
2514
2
Keiyo
83
3
Kipsigis
150
4
Bukusu
15
5
Other (specify)
435
9
14
Sysmiss
1
Sub-tribe (Other)
The household head and the spouse.
What subtribe does/did your father/mother belong to? Other (specify).
435
0
Unpaid office belong to
The household head and the spouse.
What unpaid offices/positions does/did your father/mother belong to?
Brief description of office.
3211
1
0
None
Family background module
448
0
1
Yes
448
2
No
0
Household ID
Household ID
448
0
5
Respondent ID
Respondent ID
448
0
1
Day of interview
Date of Interview. Day.
448
0
1
Month of interview
Date of Interview. Month.
448
0
1
Year of interview
Date of Interview. Year.
448
0
2004
Count
2
446
Age lived away
Ages at which you started living away from parents
448
0
0
99
9.237
5.775
Relationship with person lived with
Relationship of person you lived with?
448
0
09
1
10
131
11
14
11A
1
12
68
13
98
14
93
16
15
30
8
31
2
36
3
4
1
41
5
8
1
9
7
Relationship (Other)
Relationship of person you lived with? Other (specify).
5
0
District of person lived with
District of person you lived with?
448
0
1
Uasin-Gishu
81
2
Nandi
271
3
Keiyo
6
4
Kericho
11
5
Kakamega
16
6
Other (specify)
63
District - Other
District of person you lived with? Other (specify).
63
0
Purpose of fostering
Purpose of fostering?
448
0
1
Orphaned
20
2
Work/househelp
164
3
Schooling
110
4
Not enough food
3
5
Care for sick person
2
6
Other (specify)
147
9
2
purpose - Other
Purpose of fostering? Other (specify).
147
0
Main occupation of person lived with
What was the main occupation of the people you were staying with?
448
0
1
98
4.462
9.373
1
Crop farmer
219
2
Animal farmer
82
3
Housewife
19
4
Trader/merchant/salesperson
29
5
Transport worker
6
6
Construction worker
2
7
Teacher/education professional
30
8
Health professional/TBA/trad. Healer
3
9
Secretary/clerical
4
10
Factory worker
2
11
Restaurant/bar/hotel
2
12
Skilled trades (carpenter, tailor, etc.)
1
13
Preacher/pastor
1
14
Village elder
0
15
Domestic worker
4
16
Civil Servant/Government
38
17
Other (specify)
2
88
No activity/unemployed
3
99
Don’t Know
0
Main occupation - Other
What was the main occupation of the people you were staying with? Other (specify).
2
0
Foster parents living standard lower
Was the foster parents’ living standard lower, higher, or same as your parents’ living standard?
448
0
1
Lower than
61
2
Same as
192
3
Higher than
189
8
1
9
5
99
Don’t know
0
Family background module
822
0
1
Yes
822
2
No
0
Household ID
Household ID
822
0
Respondent ID
Respondent ID
822
0
Day of interview
Date of Interview. Day.
822
0
Month of interview
Date of Interview. Month.
822
0
Year of interview
Date of Interview. Year.
822
0
Count
0
822
Month received
Date Received (or anticipated). Month.
822
0
Year received
Date Received (or anticipated). Year.
822
0
HHID/IRID of person who gave land
HHID or IRID Code of the person who gave or is giving the land.
822
0
Size of land - Quantity
What is the size of the land inheritance? Quantity.
822
0
88
DK (future)
99
DK (past)
Size of land - Unit
What is the size of the land inheritance? Unit.
817
5
1
acres
743
2
hectares
2
3
square-feet
2
4
square-meters
0
8
70
Sysmiss
5
Which district is land
Which district is the land in?
822
0
1
Uasin-Gishu
76
2
Nandi
670
3
Keiyo
3
4
Kericho
7
5
Kakamega
6
6
Other (specify)
60
Which district - Other
Which district is the land in? Other (specify).
60
0
Current value of the land
What is the current value of the land?
822
0
2
30000000
613045.449
1476089.672
Family background module
571
0
1
Yes
571
2
No
0
Household ID
Household ID
571
0
Respondent ID
Respondent ID
571
0
Day of interview
Date of Interview. Day.
571
0
Month of interview
Date of Interview. Month.
571
0
Year of interview
Date of Interview. Year.
571
0
Count
4
567
1
2
1.25
0.5
Month received
Date Received (or anticipated). Month.
571
0
88
DK (future)
99
DK (past)
Year received
Date Received (or anticipated). Year.
571
0
88
DK (future)
99
DK (past)
HHID/IRID of person who gave
HHID or IRID Code of the person who gave or is giving.
570
0
Inheritance a house
Is this inheritance a house?
571
0
1
Yes
179
2
No
392
Which district is house
Which district is the house in?
Go to 7 (fbe07 - variable name in dataset).
179
392
1
Uasin-Gishu
22
2
Nandi
136
3
Keiyo
1
4
Kericho
2
5
Kakamega
2
6
Other (specify)
15
8
1
Sysmiss
392
Which district - Other
Which district is the house in? Other (specify).
15
0
What is the item
What is this item?
571
0
1
98
32.405
45.273
1
346
2
10
3
21
4
8
5
2
98
184
Current value of the inheritance
What was/is the value of this inheritance?
571
0
20
2000000
45808.916
148253.039
Mortality Module
283
0
1
Yes
283
2
No
0
Household ID
Household ID
283
0
Respondent ID
Respondent ID
283
0
Day of interview
Date of Interview. Day.
283
0
Month of interview
Date of Interview. Month.
283
0
Year of interview
Date of Interview. Year.
283
0
Anyone died in last 5 years
The individual who is the household head during the time of the interview.
Probe for old people and infants, and check Section 4 of of the Household Roster.
283
0
1
Yes
283
2
No
0
Count of deaths
283
0
1
3
1.219
0.463
Count
2
281
1
1
1
0
Name of deceased
The individual who is the household head during the time of the interview.
NAME of deceased person.
283
0
ID code
The individual who is the household head during the time of the interview.
ID Code of deceased person (from round 1 household roster, if applicable).
31
0
Sex
The individual who is the household head during the time of the interview.
Sex of [NAME]
283
0
1
Male
178
2
Female
105
Relationship
The individual who is the household head during the time of the interview.
What was the relation between [NAME] and the respondent?
283
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).
5
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?
283
0
0
129
40.77
27.57
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?
283
0
1
Yes
143
2
No
140
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).
283
0
1
Yes
82
2
No
201
Parents - Father ID
The individual who is the household head during the time of the interview.
Who are the parents of [NAME]? Father ID.
83
200
Parents - Mother ID
The individual who is the household head during the time of the interview.
Who are the parents of [NAME]? Mother ID.
84
199
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).
283
0
1
Yes
230
2
No
53
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).
230
53
1
Yes
172
2
No
58
Sysmiss
53
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).
172
111
1
Yes
153
2
No
19
Sysmiss
111
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.
153
130
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).
230
53
1
Yes
188
2
No
42
Sysmiss
53
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.
188
95
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.
132
151
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.
92
191
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.
57
226
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.
33
250
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.
14
269
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.
4
279
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?
230
53
1
99
8.617
13.561
1
Crop farmer
63
2
Animal farmer
13
3
Housewife
8
4
Trader/merchant/salesperson
28
5
Transport worker
26
6
Construction worker
1
7
Teacher/education professional
15
8
Health professional/TBA/trad. Healer
2
9
Secretary/clerical
2
10
Factory worker
2
11
Restaurant/bar/hotel
1
12
Skilled trades (carpenter, tailor, etc.)
6
13
Preacher/pastor
2
14
Village elder
2
15
Domestic worker
2
16
Civil Servant/Government
40
17
Other (specify)
12
88
No activity/unemployed
4
99
Don’t Know
1
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).
12
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).
283
0
1
Yes
187
2
No
95
8
1
Highest grade - Level
The individual who is the household head during the time of the interview.
What was the highest grade [NAME] completed? Level.
187
96
1
Nursery
2
2
Primary
92
3
Secondary
67
4
Post-sec.
24
9
2
Sysmiss
96
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.
187
96
1
99
5.492
9.966
When died - Month
The household member who is best able to answer.
283
0
When died - Year
The household member who is best able to answer.
283
0
Cause of death
The household member who is best able to answer.
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).]]>
283
0
1
Illness
247
2
Traffic accident
3
3
Childbirth or complications
7
4
Homicide
3
5
Suicide
2
6
Other accident or injury
5
7
Other (specify)
13
9
3
99
Don’t Know
0
Cause of death - Other
The household member who is best able to answer.
What was the cause of [NAME’s] death?
13
0
Ever seek medical treatment for condition
The household member who is best able to answer.
Did [NAME] ever seek medical treatment for the condition that led to his/her death?
If answer is 2 > Go to 24 (mort24 - variable name in dataset).
250
33
1
Yes
241
2
No
8
8
1
Sysmiss
33
Health practitioners visited - 1
The household member who is best able to answer.
Which health practitioners/establishments did [NAME] visit?
* List up to three practitioner codes.
242
41
1
98
3.322
6.487
1
National Referral Hosp. (Kenyatta, Moi)
62
2
Government District/Provincial Hosp.
82
3
Mosoriot Rural Health Center
38
4
Government Health Center (exc. Mosoriot)
13
5
Government dispensary
12
6
Mission hospital/clinic
8
7
Other private hospital/clinic
16
8
Chemist/pharmacy
0
9
Private doctor (like priv. clinic)
9
10
Mobile clinic
0
11
Community health worker
0
12
Retail shop
0
13
Herbalist/traditional healer
1
14
Relative/friend
0
15
Other (specify)
0
Health practitioners visited - 2
The household member who is best able to answer.
Which health practitioners/establishments did [NAME] visit?
* List up to three practitioner codes.
122
161
1
National Referral Hosp. (Kenyatta, Moi)
28
2
Government District/Provincial Hosp.
30
3
Mosoriot Rural Health Center
21
4
Government Health Center (exc. Mosoriot)
7
5
Government dispensary
2
6
Mission hospital/clinic
7
7
Other private hospital/clinic
15
8
Chemist/pharmacy
0
9
Private doctor (like priv. clinic)
8
10
Mobile clinic
0
11
Community health worker
0
12
Retail shop
0
13
Herbalist/traditional healer
4
14
Relative/friend
0
15
Other (specify)
0
Sysmiss
161
Health practitioners visited - 3
The household member who is best able to answer.
Which health practitioners/establishments did [NAME] visit?
* List up to three practitioner codes.
35
248
1
National Referral Hosp. (Kenyatta, Moi)
10
2
Government District/Provincial Hosp.
4
3
Mosoriot Rural Health Center
6
4
Government Health Center (exc. Mosoriot)
2
5
Government dispensary
2
6
Mission hospital/clinic
3
7
Other private hospital/clinic
3
8
Chemist/pharmacy
1
9
Private doctor (like priv. clinic)
3
10
Mobile clinic
0
11
Community health worker
0
12
Retail shop
0
13
Herbalist/traditional healer
1
14
Relative/friend
0
15
Other (specify)
0
Sysmiss
248
Health practitioners - Other
The household member who is best able to answer.
Which health practitioners/establishments did [NAME] visit? Other (specify).
* List up to three practitioner codes.
0
0
Illness health practitioner report
The household member who is best able to answer.
What illness did the health practitioner report that [NAME] was suffering from?
241
42
1
99
19.751
28.237
1
HIV/AIDS
84
2
Asthma
5
3
Bilharzia/ Shistosomiasis
0
4
Cancer
19
5
Diarrhea
0
6
Dysentry
0
7
Fracture/break
1
8
Gnorrhea
0
9
Intestinal Parisites
1
10
Malaria
10
11
Malnutrition (Kwashiorkor/Marasmus)
0
12
Measles
0
13
Meningitis
12
14
Poisoning
0
15
Polio
0
16
Syphilis
1
17
Tetanus
0
18
Tuberculosis
30
19
Typhoid
4
20
Urinary Infection
0
21
Witchcraft
0
22
Other STD (specify)
0
23
Other illness (specify)
31
24
Other injury (specify)
0
99
Don’t know
24
Illness practitioner report - Other
The household member who is best able to answer.
What illness did the health practitioner report that [NAME] was suffering from? Other (specify).
32
0
Illness respondent think
The household member who is best able to answer.
What illness do you think [NAME] was suffering from?
249
34
1
99
15.229
25.849
1
HIV/AIDS
121
2
Asthma
4
3
Bilharzia/ Shistosomiasis
0
4
Cancer
16
5
Diarrhea
0
6
Dysentry
0
7
Fracture/break
1
8
Gnorrhea
0
9
Intestinal Parisites
0
10
Malaria
19
11
Malnutrition (Kwashiorkor/Marasmus)
0
12
Measles
1
13
Meningitis
1
14
Poisoning
0
15
Polio
0
16
Syphilis
0
17
Tetanus
0
18
Tuberculosis
19
19
Typhoid
5
20
Urinary Infection
0
21
Witchcraft
3
22
Other STD (specify)
0
23
Other illness (specify)
31
24
Other injury (specify)
0
30
1
31
3
32
5
99
Don’t know
19
Sysmiss
34
Illness respondent - Other
The household member who is best able to answer.
What illness do you think [NAME] was suffering from? Other (specify).
32
0
Symptoms had - 1
The household member who is best able to answer.
Please describe the symptoms [NAME] had during his/her illness?
* List up to five symptoms.
251
32
1
98
14.064
12.685
1
Diarrhea (acute)
7
2
Diarrhea (chronic, 1 month or more)
16
3
Weight loss (major)
27
4
Fever (acute)
13
5
Fever (recurring)
6
6
Skin rash
18
7
Weakness
23
8
Severe headache
8
9
Fainting
1
10
Chills (feeling hot and cold)
1
11
Vomiting
8
12
Cough
21
13
Productive cough
8
14
Coughing blood
2
15
Pain on passing urine
0
16
Genital sores
0
17
Mental disorder
3
18
Abdominal pain
12
19
Sore throat
4
20
Difficulty breathing
10
21
Burn
0
22
Fracture
0
23
Wound
0
24
Child birth
1
25
Ameobeosis
0
26
Other (specify)
28
Symptoms had - 2
The household member who is best able to answer.
Please describe the symptoms [NAME] had during his/her illness?
* List up to five symptoms.
204
79
1
32
11.093
9.055
1
Diarrhea (acute)
8
2
Diarrhea (chronic, 1 month or more)
11
3
Weight loss (major)
35
4
Fever (acute)
2
5
Fever (recurring)
6
6
Skin rash
14
7
Weakness
25
8
Severe headache
15
9
Fainting
0
10
Chills (feeling hot and cold)
3
11
Vomiting
12
12
Cough
16
13
Productive cough
3
14
Coughing blood
2
15
Pain on passing urine
0
16
Genital sores
0
17
Mental disorder
1
18
Abdominal pain
7
19
Sore throat
3
20
Difficulty breathing
11
21
Burn
0
22
Fracture
0
23
Wound
1
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
13
Symptoms had - 3
The household member who is best able to answer.
Please describe the symptoms [NAME] had during his/her illness?
* List up to five symptoms.
132
151
1
32
10.144
7.754
1
Diarrhea (acute)
6
2
Diarrhea (chronic, 1 month or more)
12
3
Weight loss (major)
13
4
Fever (acute)
1
5
Fever (recurring)
12
6
Skin rash
15
7
Weakness
9
8
Severe headache
5
9
Fainting
0
10
Chills (feeling hot and cold)
4
11
Vomiting
8
12
Cough
9
13
Productive cough
7
14
Coughing blood
1
15
Pain on passing urine
1
16
Genital sores
0
17
Mental disorder
1
18
Abdominal pain
4
19
Sore throat
5
20
Difficulty breathing
5
21
Burn
0
22
Fracture
0
23
Wound
1
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
11
Symptoms had - 4
The household member who is best able to answer.
Please describe the symptoms [NAME] had during his/her illness?
* List up to five symptoms.
65
218
1
32
9.769
8.744
1
Diarrhea (acute)
6
2
Diarrhea (chronic, 1 month or more)
4
3
Weight loss (major)
10
4
Fever (acute)
2
5
Fever (recurring)
8
6
Skin rash
7
7
Weakness
4
8
Severe headache
0
9
Fainting
0
10
Chills (feeling hot and cold)
0
11
Vomiting
1
12
Cough
5
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
0
19
Sore throat
10
20
Difficulty breathing
0
21
Burn
0
22
Fracture
0
23
Wound
1
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
3
Symptoms had - 5
The household member who is best able to answer.
Please describe the symptoms [NAME] had during his/her illness?
* List up to five symptoms.
35
248
1
32
9.571
7.8
1
Diarrhea (acute)
1
2
Diarrhea (chronic, 1 month or more)
3
3
Weight loss (major)
3
4
Fever (acute)
0
5
Fever (recurring)
9
6
Skin rash
3
7
Weakness
3
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
1
17
Mental disorder
0
18
Abdominal pain
0
19
Sore throat
7
20
Difficulty breathing
0
21
Burn
0
22
Fracture
0
23
Wound
0
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
1
Symptoms had - 5 (Other)
The household member who is best able to answer.
Please describe the symptoms [NAME] had during his/her illness? Other (specify).
* List up to five symptoms.
53
0
Had diarrhea for a month or more
The household member who is best able to answer.
Did [NAME] have diarrhoea for a month or more?
244
39
1
Yes
34
2
No
148
8
62
Sysmiss
39
Continously lose weight
The household member who is best able to answer.
Did [NAME] continuously lose weight in the six months before his/her death?
241
42
1
Yes
75
2
No
89
8
77
Sysmiss
42
Had skin rush in six months before died
The household member who is best able to answer.
247
36
1
Yes
23
2
No
170
8
54
Sysmiss
36
Suffer from a persistent sore throat before died
The household member who is best able to answer.
Did [NAME] suffer from a persistent sore throat in the six months before his/her death?
252
31
1
Yes
56
2
No
168
8
28
Sysmiss
31
Suffer from a fever in six months before died
The household member who is best able to answer.
Did [NAME] suffer from a fever in the six months before his/her death?
246
37
1
Yes
95
2
No
101
8
50
Sysmiss
37
How long suffered from illness before death - Amount
The household member who is best able to answer.
For how long was [NAME] suffering from this illness before his/her death? Amount of time.
253
30
1
30
3.743
3.966
How long suffered from illness before death - Time unit
The household member who is best able to answer.
For how long was [NAME] suffering from this illness before his/her death? Time unit.
253
30
1
Minutes
3
2
Hours
2
3
Days
19
4
Weeks
15
5
Months
89
6
Years
125
Sysmiss
30
Death occur in the past 12 months
The household member who is best able to answer.
Interviewer: Did [NAME's] death occur in the past 12 months?
Go to 34 (mort34 - variable name in dataset).]]>
253
30
1
Yes
67
2
No
186
Sysmiss
30
Amount HH spend on illness in 6 months prior to death
The household member who is best able to answer.
How much money did your household spend on [NAME’s] illness in the six months prior to death (including the cost of treatment, medicines, transport and other expenses)?
* Probe for payments in cash or kind.
67
216
0
150000
17184.134
30082.411
Sold any assets in order to pay for medical
The household member who is best able to answer.
Did members of your household have to sell any assets (such as land, livestock, farm equipment, etc) in order to pay for the medical expenses associated with [NAME’s] illness?
253
30
0
2
1
Yes
94
2
No
157
Sysmiss
30
HH received contributions from friends
The household member who is best able to answer.
If answer is 2 > Go to 37 (mort37 - variable name in dataset).
255
28
1
Yes
89
2
No
166
Sysmiss
28
Total amount received
The household member who is best able to answer.
What was the total amoung received from all friends and relatives?
90
193
0
200000
11254.8
24032.294
What happened to agricultural activities
The household member who is best able to answer.
283
0
1
Lower
147
2
Higher
0
3
No change
97
4
N/A (never did farming)
39
What happened to rest of income-earning activities
The household member who is best able to answer.
What happened to the rest of the income-earning activities of your household as a result of [NAME’s] death?
283
0
1
Lower
172
2
Higher
2
3
No change
109
Any relative work on a shamba to compensate
The household member who is best able to answer.
Did any relatives or community members (who weren’t household members) work on your shamba to compensate for the loss of labor from [NAME’s] death?
283
0
1
Yes
31
2
No
241
3
N/A (household doesn’t do farming)
11
After death, any children came to stay
The household member who is best able to answer.
After [NAME’s] death, did any children or other relatives come to stay at your household for an extended period?
283
0
1
Yes
31
2
No
252
How much was spent in total on funeral
The household member who is best able to answer.
How much was spent in total on [NAME’s] funeral?
283
0
0
400000
18342.092
28700.609
How much was spent by members of HH members
The household member who is best able to answer.
How much was spent by members of your household for [NAME’s] funeral?
* Probe for out-of-pocket expenses of household members only.
283
0
0
100000
7483.664
11900.564
Membersof HH have to sell any assets
The household member who is best able to answer.
Did members of your household have to sell any assets (such as land, livestock, farm equipment, etc) in order to pay for the funeral expenses associated with [NAME’s] illness?
283
0
1
Yes
61
2
No
222
Receive contributions from friends
The household member who is best able to answer.
Did anyone in the household receive contributions from friends or relatives to pay for [NAME’s] funeral expenses?
283
0
0
1
1
Yes
249
2
No
32
8
1
Total amount received from relatives
The household member who is best able to answer.
What was the total amount received from all these friends and relatives?
282
1
0
300000
8331.216
22882.446
Total amount received from organizations
The household member who is best able to answer.
What was the total amount received from organizations and community groups?
283
0
0
40000
2338.314
5693.646
Did lose assets or land due to inheritance
The household member who is best able to answer.
After [NAME] died, did you or members of your household lose assets or land due to inheritance traditions?
If answer is 2 > Go to next person.
283
0
1
Yes
16
2
No
267
Value of the land and assets lost
The household member who is best able to answer.
What was the value of the land and/or assets lost?
Total value of these assets today, in KShs.
16
267
15000
1400000
294562.5
394528.574
Mortality Module
29
0
1
Yes
29
2
No
0
Household ID
Household ID
29
0
Respondent ID
Respondent ID
29
0
Day of interview
Date of Interview. Day.
29
0
Month of interview
Date of Interview. Month.
29
0
Year of interview
Date of Interview. Year.
29
0
Any children died while living elsewhere
Have any of your children (or children of other household members) died while living elsewhere in the past five years – that is since…(same month, 5 years ago)?
End.]]>
29
0
1
Yes
29
2
No
0
Count
0
29
Name od deceased person
NAME of deceased person.
29
0
ID code of deceased person
ID Code of deceased person (from round 1 household roster, if applicable).
14
15
Sex
Sex of [NAME]
28
1
1
Male
11
2
Female
17
Sysmiss
1
Relationship
What was the relation between [NAME] and the respondent?
29
0
Relationship - Other
What was the relation between [NAME] and the respondent? Other (specify).
0
0
Age at death
How old was [NAME] when he/she passed away?
29
0
1
50
31.207
12.488
Parents - Father ID
Who are the parents of [NAME]? Father ID.
* Copy ID code of mother and father.
29
0
88
Not resident
98
Deceased
Parents - Mother ID
Who are the parents of [NAME]? Mother ID.
* Copy ID code of mother and father.
29
0
88
Not resident
98
Deceased
Where was residing at time of death
Where was [NAME] residing at the time of his/her death?
Make sure [NAME] wasn’t a hh member at time of death.
29
0
1
This village
8
2
This location
2
3
Kosirai Division
2
4
Nandi District (inc. Kapsabet)
7
5
Uasin-Gishu District (exc. Eldoret)
2
6
Eldoret
1
7
Kakamega
0
8
Kitale
1
9
Kisumu
0
10
Nakuru
0
11
Nairobi
1
12
Other urban area
3
13
Other rural area
2
14
Outside Kenya
0
Was older than 12 years
Interviewer: Was [NAME] older than 12 years at the time of death?
Go to 15 (mortb15 - variable name in dataset).]]>
29
0
1
Yes
26
2
No
3
Was married at the time of death
Was [NAME] married at the time of his/her death?
If answer is 2 > Go to 13 (mortb13 - variable name in dataset).
26
3
1
Yes
20
2
No
6
Sysmiss
3
Spouse live in Household
Does the husband/wife of this person live in this household?
If answer is 2 > Go to 13 (mortb13 - variable name in dataset).
20
9
1
Yes
0
2
No
20
Sysmiss
9
ID code of spouse
Record the ID code of the wife or husband from the household roster.
0
29
Had any children before died
Did [NAME] have any children living in this household?
If answer is 2 > Go to 15 (mortb15 - variable name in dataset).
26
3
1
Yes
9
2
No
17
Sysmiss
3
ID code of children - 1
Record the ID codes of all of the children (adults and youngsters) of [NAME] who are household members.
9
20
ID code of children - 2
Record the ID codes of all of the children (adults and youngsters) of [NAME] who are household members.
4
25
ID code of children - 3
Record the ID codes of all of the children (adults and youngsters) of [NAME] who are household members.
1
28
ID code of children - 4
Record the ID codes of all of the children (adults and youngsters) of [NAME] who are household members.
1
28
Ever attend school
Did [NAME] ever attend school?
If answer is 2 > Go to 17 (mortb17 - variable name in dataset).
29
0
1
Yes
25
2
No
4
Highest grade - Level
What was the highest grade that [NAME] completed? Level.
25
4
1
Nursery
0
2
Primary
11
3
Secondary
10
4
Post-sec.
4
Sysmiss
4
Highest grade - # of years
What was the highest grade that [NAME] completed? Number of years.
25
4
2
4
3
1
4
9
5
2
6
3
7
5
8
1
Sysmiss
4
When died - Month
In what month and year did [NAME] die? Month.
29
0
When died - Year
In what month and year did [NAME] die? Year.
29
0
Cause of death
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).]]>
29
0
1
Illness
25
2
Traffic accident
1
3
Childbirth or complications
1
4
Homicide
1
5
Suicide
0
6
Other accident or injury
0
7
Other (specify)
1
Cause of death - Other
What was the cause of [NAME’s] death? Other (specify).
0
0
Illness respondent think
What illness do you think [NAME] was suffering from?
25
4
1
HIV/AIDS
11
2
Asthma
0
3
Bilharzia/ Shistosomiasis
0
4
Cancer
3
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
1
18
Tuberculosis
1
19
Typhoid
1
20
Urinary Infection
0
21
Witchcraft
0
22
Other STD (specify)
0
23
Other illness (specify)
3
24
Other injury (specify)
0
31
1
99
Don’t know
4
Sysmiss
4
Illness respondent - Other
What illness do you think [NAME] was suffering from? Other (specify).
3
0
Symptoms had - 1
Please describe the symptoms [NAME] had during his/her illness?
* List up to five symptoms.
25
4
1
Diarrhea (acute)
2
2
Diarrhea (chronic, 1 month or more)
1
3
Weight loss (major)
2
4
Fever (acute)
1
5
Fever (recurring)
0
6
Skin rash
3
7
Weakness
3
8
Severe headache
3
9
Fainting
0
10
Chills (feeling hot and cold)
0
11
Vomiting
0
12
Cough
2
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
1
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
2
32
2
98
2
99
1
Sysmiss
4
Symptoms had - 2
Please describe the symptoms [NAME] had during his/her illness?
* List up to five symptoms.
16
13
1
Diarrhea (acute)
0
2
Diarrhea (chronic, 1 month or more)
0
3
Weight loss (major)
4
4
Fever (acute)
1
5
Fever (recurring)
1
6
Skin rash
0
7
Weakness
2
8
Severe headache
1
9
Fainting
0
10
Chills (feeling hot and cold)
0
11
Vomiting
0
12
Cough
4
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
1
21
Burn
0
22
Fracture
0
23
Wound
0
24
Child birth
0
25
Ameobeosis
0
26
Other (specify)
0
Sysmiss
13
Symptoms had - 3
Please describe the symptoms [NAME] had during his/her illness?
* List up to five symptoms.
9
20
1
Diarrhea (acute)
0
2
Diarrhea (chronic, 1 month or more)
1
3
Weight loss (major)
1
4
Fever (acute)
0
5
Fever (recurring)
2
6
Skin rash
1
7
Weakness
0
8
Severe headache
1
9
Fainting
0
10
Chills (feeling hot and cold)
1
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
1
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
20
Symptoms had - 4
Please describe the symptoms [NAME] had during his/her illness?
* List up to five symptoms.
4
25
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
1
7
Weakness
1
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
32
2
Sysmiss
25
Symptoms had - 5
Please describe the symptoms [NAME] had during his/her illness?
* List up to five symptoms.
2
27
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
1
7
Weakness
0
8
Severe headache
0
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
27
Symptoms had - (Other)
Please describe the symptoms [NAME] had during his/her illness? Other (specify).
* List up to five symptoms.
3
0
Death occur in the past 12 months
Interviewer: Did [NAME's] death occur in the past 12 months?
Go to 24 (mortb24 - variable name in dataset).]]>
29
0
1
Yes
7
2
No
22
How much spend on illness
How much money did your household spend on [NAME’s] illness in the six months prior to death (including the cost of treatment, medicines, transport and other expenses connected with the illness/accident)?
* Probe for payments in cash or kind
7
22
0
20000
7285.714
7889.112
How much was spend by HH members for funeral
How much was spent by members of your household for [NAME’s] funeral?
7
22
500
20000
7214.286
6505.492
Members sold any asset to fo funeral expenses
Did members of your household have to sell any assets (such as land, livestock, farm equipment, etc) in order to pay for the funeral expenses associated with [NAME’s] illness?
29
0
1
Yes
7
2
No
21
9
1
Housing characteristics module
1142
0
1
Yes
1142
2
No
0
Household ID
Household ID
1142
0
Respondent ID
Respondent ID
1142
0
Day of interview
Date of Interview. Day.
1142
0
Month of interview
Date of Interview. Month.
1142
0
Year of interview
Date of Interview. Year.
1142
0
Number of structures hh own
How many structures/dwellings does your household own or rent, within and outside this compound? (Probe for all structures owned or rented by the household, including those rented out by the household, and also those outside the compound.)
Exclude: toilet/bathroom, chicken coop.
1142
0
0
10
2.989
1.467
Main source of drinking water
1142
0
1
Private Tap
59
2
Public Tap
67
3
Well on plot
426
4
Public well
120
5
Spring
287
6
Surface water (e.g. river, lake)
156
7
Rainwater
2
8
Other (specify)
25
Main source of drinking water (Other)
What is the main source of drinking water for members of this household? Other (specify).
25
0
Type of toilet facility
What kind of toilet facility does your household use?
1142
0
1
Traditional pit toilet
869
2
Ventilated improved pit latrine
201
3
Flush toilet
9
4
No facility/ bush/field
53
5
Other (specify)
10
Type of toilet facility (Other)
What kind of toilet facility does your household use? Other (specify).
10
0
In rainy season, is there any standing water
In the RAINY SEASON, is there any standing water within 100 meters of your main dwelling?
1142
0
1
Yes
239
2
No
903
Main fuel used for cooking
What is the main fuel used by the household for cooking?
1142
0
1
Wood
995
2
Charcoal
126
3
Gas
7
4
Electricity
1
5
Kerosene
12
6
Other
1
How long does it take to nearest tarmac road - Hours
How long does it take you to walk from your home to the nearest tarmac road? Hours.
1142
0
0
98
0.862
3.091
How long does it take to nearest tarmac road - Minutes
How long does it take you to walk from your home to the nearest tarmac road? Minutes.
1142
0
0
98
15.712
14.728
Housing characteristics module
3404
0
1
Yes
3404
2
No
0
Household ID
Household ID
3404
0
Respondent ID
Respondent ID
3404
0
Day of interview
Date of Interview. Day.
3404
0
Month of interview
Date of Interview. Month.
3404
0
Year of interview
Date of Interview. Year.
3404
0
Column number
Now I would like to ask you a few questions about each of these structures/dwellings.
11
3393
ID code for structure
ID code for each structure/ dwelling
Remember to ask about structures outside the compound
3404
0
Ownership of structure
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).]]>
3403
1
1
Owned and used by household members
3116
2
Owned by HH member and rented out
53
3
Rented in
179
4
Owned by relatives (no rent paid by the household)
31
5
Other (specify)
22
8
2
Sysmiss
1
Ownership of structure (Other)
What is the ownership status of this structure? Other (specify).
20
0
Amount pay for rent per month
How much money does your household pay in rent for this structure per month?
Go to 7 (hc07 - variable name in dataset).
179
3225
0
18000
1073.994
1917.245
Amount receive for rent per amonth
How much money does your household receive in rent for this property per month?
53
3351
0
21000
2573.585
4122.844
Value of the structure
How much would this structure be worth if you sold it today?
Interviewer: If respondent is not able to do it, help him/her assess the value. In the extreme case, estimate a value yourself.
3165
239
98
3000000
28354.727
101760.973
Structure within the compound
Is this structure within the compound or outside the compound?
3396
8
1
Within
2983
2
Outside
363
8
50
Sysmiss
8
Main purpose of the structure
What is the main use or purpose of the structure?
Go to next structure.]]>
3401
3
1
Household living arrangements
1762
2
Cooking
832
3
Storage
578
4
Business
118
5
Servant’s quarter (if servant not part of HH)
19
6
other
72
8
20
Sysmiss
3
Main construction material of outside wall
What is the main construction material of outside walls?
1760
1644
1
Mud
1292
2
Wooden planks
46
3
Stone/brick/cement
415
4
Other (specify)
7
Sysmiss
1644
Main construction material of outside wall (Other)
What is the main construction material of outside walls? Other (specify).
7
0
Main floor material
What is the main flooring material?
1760
1644
1
Natural floor: mud/dung/sand
1163
2
Rudimentary floor: wood planks
5
3
Finished floor: polished wood, vinyl/tiles
6
4
Cement
584
5
Other (specify)
2
Sysmiss
1644
Main floor material (Other)
What is the main flooring material? Other (specify).
2
0
Main roofing material
What is the main roofing material?
1760
1644
1
Grass/thatch
334
2
Corrugated iron (mabati)
1408
3
Tiles
10
4
Other (specify)
8
Sysmiss
1644
Main roofing material (Other)
What is the main roofing material? Other (specify).
8
0
Most windows fitted with
What are most windows fitted with?
1760
1644
1
Glass
483
2
Wood shutters
1176
3
No cover
63
4
Other (specify)
6
5
No window
26
8
5
9
1
Sysmiss
1644
Most windows fitted with (Other)
What are most windows fitted with? Other (specify).
6
0
Number of room in structure
How many rooms are in this structure?
1760
1644
1
9
2.611
1.318
Time & Risk module
1530
0
1
Yes
1530
2
No
0
Household ID
Household ID
1530
0
Respondent ID
Respondent ID
1530
0
Day of interview
Date of Interview. Day.
1530
0
Month of interview
Date of Interview. Month.
1530
0
Year of interview
Date of Interview. Year.
1530
0
1A. Ever bought lottery ticket
The following three questions concern the purchase of lottery or raffle tickets.
Have you ever bought lottery or raffle tickets?
If answer is 2 > Go to 2 (trp2 - variable name in dataset).
1530
0
1
Yes
387
2
No
1143
1B. How often buy raffle ticket
How often do you buy lottery or raffle tickets?
387
1143
1
once every week
2
2
once every two weeks
3
3
once every month
18
4
once every two months or more
25
5
once every year
18
6
less than once a year
316
8
5
Sysmiss
1143
1C. How much spend on lottery in past 6 months
How much money did you spend on lottery tickets in the past six months?
386
1144
0
2000
39.085
159.63
2. Been offered a prize of one meal
You have been offered a prize of one meal at a nyama choma hotel, but you must use this prize within two months. When would you request this prize?
1530
0
1
Request the prize this week
1119
2
Wait for a while before requesting the prize
410
8
1
3A. Type of cow
If answer is 1 > Go to 4 (trp4a - variable name in dataset).
1530
0
1
Type 1
1383
2
Type 2
147
3B. Type of cow
If answer is 2 > Go to 4 (trp4a - variable name in dataset).
147
1383
1
Type 1
105
2
Type 2
41
9
1
Sysmiss
1383
3C. Type of cow
If answer is 1 > Go to 4 (trp4a - variable name in dataset).
106
1424
1
Type 1
14
2
Type 2
92
Sysmiss
1424
3D. Type of cow
If answer is 2 > Go to 4 (trp4a - variable name in dataset).
92
1438
1
Type 1
28
2
Type 2
64
Sysmiss
1438
3E. Type of cow
If answer is 1 > Go to 4 (trp4a - variable name in dataset).
28
1502
1
Type 1
5
2
Type 2
22
8
1
Sysmiss
1502
3F. Type of cow
23
1507
1
Type 1
4
2
Type 2
17
8
2
Sysmiss
1507
3G. Respondent understand the question
INTERVIEWER: Did respondent understand the question?
1530
0
1
Yes
1466
2
No
62
4
1
8
1
4A. Amount option
If answer is 1 > Go to 5 (trp5a - variable name in dataset).
1530
0
1
Option 1
1376
2
Option 2
153
8
1
4B. Amount option
If answer is 2 > Go to 5 (trp5a - variable name in dataset).
153
1377
1
Option 1
135
2
Option 2
18
Sysmiss
1377
4C. Amount option
If answer is 1 > Go to 5 (trp5a - variable name in dataset).
135
1395
1
Option 1
22
2
Option 2
113
Sysmiss
1395
4D. Amount option
If answer is 2 > Go to 5 (trp5a - variable name in dataset).
113
1417
1
Option 1
87
2
Option 2
26
Sysmiss
1417
4E. Amount option
If answer is 1 > Go to 5 (trp5a - variable name in dataset).
87
1443
1
Option 1
13
2
Option 2
74
Sysmiss
1443
4F. Amount option
74
1456
1
Option 1
29
2
Option 2
45
Sysmiss
1456
4G. Respondent understand the question
INTERVIEWER: Did respondent understand the question?
1530
0
1
Yes
1510
2
No
20
5A. Sometime not dependable
1530
0
1
Disagree
493
2
Disagree somewhat
124
3
Agree somewhat
395
4
Agree
517
8
1
5B. Often have difficult organizing in advance
1530
0
1
Disagree
366
2
Disagree somewhat
101
3
Agree somewhat
288
4
Agree
774
8
1
5C. Often feel that speek too quickly
1530
0
1
Disagree
638
2
Disagree somewhat
175
3
Agree somewhat
335
4
Agree
379
8
3
6A. Amount opinion
If answer is 1 > Go to 7 (trp7a - variable name in dataset).
1529
1
1
Option 1
1121
2
Option 2
408
Sysmiss
1
6B. Amount opinion
If answer is 2 > Go to 7 (trp7a - variable name in dataset).
408
1122
1
Option 1
379
2
Option 2
28
8
1
Sysmiss
1122
6C. Amount opinion
If answer is 1 > Go to 7 (trp7a - variable name in dataset).
380
1150
1
Option 1
42
2
Option 2
336
8
2
Sysmiss
1150
6D. Amount opinion
If answer is 2 > Go to 7 (trp7a - variable name in dataset).
338
1192
1
Option 1
252
2
Option 2
84
8
2
Sysmiss
1192
6E. Amount opinion
If answer is 1 > Go to 7 (trp7a - variable name in dataset).
254
1276
1
Option 1
47
2
Option 2
205
8
2
Sysmiss
1276
6F. Amount opinion
207
1323
1
Option 1
40
2
Option 2
160
8
7
Sysmiss
1323
6G. Respondent understand the question
INTERVIEWER: Did respondent understand the question?
1530
0
1
Yes
1495
2
No
23
8
12
7A. Choose between 1 & 2
1530
0
1
1006
2
522
8
2
7B. Choose between 3 & 4
1530
0
2
1
3
970
4
557
8
2
7C. Choose on of the 4
1530
0
1
463
2
55
3
504
4
504
8
3
9
1
INTERVIEWER: Did respondent understand the question?
1530
0
1
Yes
1301
2
No
211
3
1
4
1
8
16
8A. Vouchers would like to use in year 1
1530
0
1
99
5.679
3.79
8B. What would be tempted to do
If answer is 3 > End.
1530
0
1
I would be strongly tempted to keep more vouchers for the second year than ideal
63
2
I would be somewhat tempted to keep more vouchers for the second year than ideal
84
3
I would have no temptation in either direction
1151
4
I would be somewhat tempted to use more vouchers in the first year than ideal
152
5
I would be strongly tempted to use more vouchers in the first year than ideal
78
8
2
8C. Vouchers would end up using in year 1
379
1151
1
98
7.356
12.66
Network module
1561
0
1
1561
Household ID
Household ID
1561
0
Respondent ID
Respondent ID
1561
0
Day of interview
Date of Interview. Day.
1561
0
Month of interview
Date of Interview. Month.
1561
0
Year of interview
Date of Interview. Year.
1561
0
Count of section A:
1561
0
0
3
1.624
1.251
People talked to about health issues
How many people (in total) have you talked (informally) with about health issues in the past 12 months?
1561
0
98
Missing
382
99
dk
0
Count of Section B:
1561
0
0
3
1.549
1.221
People talked to about malaria
How many people (in total) have you talked (informally) with about malaria in the past 12 months?
* Do not include spouse.
1561
0
98
Missing
393
99
dk
1
Count of section C:
1561
0
0
8
2.523
0.915
Know anyone who has gone for an HIV test at a VCT
Do you personally know anyone (other than your spouse or main partner) who has gone for an HIV test at a VCT clinic?
1561
0
1
Yes
833
2
No
719
8
9
People know have gone for HIV test at VCT
How many people known to you personally have gone for an HIV test at a VCT clinic in the past year?
833
728
0
None
68
People known have gone for HIV test at VCT before the past y
How many people known to you personally have gone for an HIV test at a VCT clinic before the past year?
833
728
0
98
1.616
4.118
0
None
374
Count of section D:
1561
0
0
20
7.076
2.713
Count of section E:
1561
0
0
19
7.069
2.716
Network module
2535
0
1
Yes
2535
2
No
0
Household ID
Household ID
2535
0
Respondent ID
Respondent ID
2535
0
Day of interview
Date of Interview. Day.
2535
0
Month of interview
Date of Interview. Month.
2535
0
Year of interview
Date of Interview. Year.
2535
0
Column number
Now I would like to ask you about your conversations with three of these people. Can you tell me the first names of these people, and what issues you discussed with them?
Record IRID codes of each person. Add to the Individual Roster if person is not already listed. If three are not named, probe: can you think of anyone else? How about sitting in on conversations, even if you yourself did not say anything?
13
2522
IRID code
IRID Code of person
2535
0
Last conversation with IRID
When was your last conversation with [IRID] about health matters?
2535
0
1
in the past week
927
2
in the past month
892
3
less than six months ago
565
4
more than six months ago
138
8
13
88
don’t recall
0
Health topic
What health topic / illness was this discussion mostly about?
If answer is 81 > Go to 6 (net6 - variable name in dataset).
2535
0
1
HIV/AIDS
1
2
Asthma
98
3
Bilharzia/ Shistosomiasis
1
4
Cancer
278
5
Diarrhea
35
6
Dysentry
13
7
Fracture/break
57
8
Gnorrhea
9
9
Intestinal Parisites
20
10
Malaria
1
11
Malnutrition (Kwashiorkor/Marasmus)
16
12
Measles
9
13
Meningitis
4
14
Poisoning
10
15
Polio
7
16
Syphilis
4
17
Tetanus
31
18
Tuberculosis
126
19
Typhoid
205
20
Urinary Infection
11
21
Witchcraft
8
22
Other STD (specify)
3
23
Other illness (specify)
773
24
Other injury (specify)
62
26
6
30
241
31
76
32
83
80
Family Planning
109
81
Sanitation
234
98
4
99
Don’t know
0
Health topic - Other
What health topic / illness was this discussion mostly about? Other (specify).
841
0
Discussed ways of getting treatment
Did you discuss ways to get treatment or any solutions for this health issue?
If answer is 2 > Go to 6 (net6 - variable name in dataset).
2303
232
1
Yes
1916
2
No
381
8
6
Sysmiss
232
Health facility/practioner mentioned-1
Which health facilities/practitioners were mentioned?
List up to 4 codes.
1922
613
1
National Referral Hosp. (Kenyatta, Moi)
503
2
Government District/Provincial Hosp.
206
3
Mosoriot Rural Health Center
662
4
Government Health Center (exc. Mosoriot)
118
5
Government dispensary
130
6
Mission hospital/clinic
46
7
Other private hospital/clinic
43
8
Chemist/pharmacy
28
9
Private doctor (like priv. clinic)
27
10
Mobile clinic
0
11
Community health worker
1
12
Retail shop
20
13
Herbalist/traditional healer
129
14
Relative/friend
1
15
Other (specify)
4
30
1
98
3
Sysmiss
613
Health facility/practioner mentioned-2
Which health facilities/practitioners were mentioned?
List up to 4 codes.
571
1964
1
National Referral Hosp. (Kenyatta, Moi)
67
2
Government District/Provincial Hosp.
188
3
Mosoriot Rural Health Center
155
4
Government Health Center (exc. Mosoriot)
16
5
Government dispensary
35
6
Mission hospital/clinic
24
7
Other private hospital/clinic
10
8
Chemist/pharmacy
8
9
Private doctor (like priv. clinic)
25
10
Mobile clinic
0
11
Community health worker
1
12
Retail shop
4
13
Herbalist/traditional healer
35
14
Relative/friend
1
15
Other (specify)
2
Sysmiss
1964
Health facility/practioner mentioned-3
Which health facilities/practitioners were mentioned?
List up to 4 codes.
101
2434
1
National Referral Hosp. (Kenyatta, Moi)
12
2
Government District/Provincial Hosp.
22
3
Mosoriot Rural Health Center
30
4
Government Health Center (exc. Mosoriot)
6
5
Government dispensary
6
6
Mission hospital/clinic
9
7
Other private hospital/clinic
1
8
Chemist/pharmacy
1
9
Private doctor (like priv. clinic)
3
10
Mobile clinic
0
11
Community health worker
0
12
Retail shop
0
13
Herbalist/traditional healer
9
14
Relative/friend
2
15
Other (specify)
0
Sysmiss
2434
Health facility/practioner mentioned-4
Which health facilities/practitioners were mentioned?
List up to 4 codes.
9
2526
1
National Referral Hosp. (Kenyatta, Moi)
2
2
Government District/Provincial Hosp.
1
3
Mosoriot Rural Health Center
1
4
Government Health Center (exc. Mosoriot)
0
5
Government dispensary
1
6
Mission hospital/clinic
3
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
1
14
Relative/friend
0
15
Other (specify)
0
Sysmiss
2526
Health facility/practioner (Other)
Which health facilities/practitioners were mentioned? Other (specify).
List up to 4 codes.
7
0
Medicines or solutions mentioned
Were any medicines or solutions mentioned for this health issue?
If answer is 2 > Go to 8 (net8 - variable name in dataset).
2535
0
1
Yes
835
2
No
1689
8
11
Which medicines mentioned
Which medicines or solutions were mentioned for this health issue?
* Free response.
839
0
Was sick at the time
Was [IRID] sick at the time?
If answer is 2 > Go to 10 (net10 - variable name in dataset).
2534
1
1
Yes
824
2
No
1706
8
4
Sysmiss
1
Illness person had
What illness did this person have?
824
1711
1
HIV/AIDS
2
2
Asthma
35
3
Bilharzia/ Shistosomiasis
1
4
Cancer
62
5
Diarrhea
8
6
Dysentry
4
7
Fracture/break
25
8
Gnorrhea
2
9
Intestinal Parisites
3
10
Malaria
3
11
Malnutrition (Kwashiorkor/Marasmus)
0
12
Measles
1
13
Meningitis
1
14
Poisoning
0
15
Polio
0
16
Syphilis
1
17
Tetanus
18
18
Tuberculosis
40
19
Typhoid
98
20
Urinary Infection
2
21
Witchcraft
2
22
Other STD (specify)
0
23
Other illness (specify)
341
24
Other injury (specify)
36
26
2
30
Common cold
64
31
Pneumonia
29
32
Diabetes
42
80
1
98
1
99
Don’t know
0
Sysmiss
1711
Illness (other)
What illness did this person have? Other (specify).
377
0
Network module
2418
0
1
Yes
2418
2
No
0
Household ID
Household ID
2418
0
Respondent ID
Respondent ID
2418
0
Day of interview
Date of Interview. Day.
2418
0
Month of interview
Date of Interview. Month.
2418
0
Year of interview
Date of Interview. Year.
2418
0
Column number
Now I would like to ask you about your conversations with three of these people. Can you tell me the first names of these people, and what issues you discussed with them?
11
2407
IRID code of person
IRID Code of person
2418
0
Last conversation about malaria
When was your last conversation with this person about malaria?
2418
0
1
in the past week
660
2
in the past month
760
3
less than six months ago
836
4
more than six months ago
156
8
6
88
don’t recall
0
Person suffering from malaria
Was this person suffering from malaria at the time, or did his/her children have malaria at the time?
2418
0
1
Yes
1401
2
No
1010
9
7
Any member had malaria at the time
Did you or any of your household members have malaria at the time?
2418
0
1
Yes
625
2
No
1793
Discussed where to get treatment
Did you discuss where to get treatment for this malaria?
If answer is 2 > Go to 7 (netb7 - variable name in dataset).
2418
0
1
Yes
2092
2
No
325
8
1
Which facility/practitioner - 1
Which health facilities/practitioners were mentioned?
* List up to 5 codes.
2093
325
1
National Referral Hosp. (Kenyatta, Moi)
50
2
Government District/Provincial Hosp.
176
3
Mosoriot Rural Health Center
1149
4
Government Health Center (exc. Mosoriot)
212
5
Government dispensary
327
6
Mission hospital/clinic
61
7
Other private hospital/clinic
36
8
Chemist/pharmacy
21
9
Private doctor (like priv. clinic)
32
10
Mobile clinic
1
11
Community health worker
1
12
Retail shop
15
13
Herbalist/traditional healer
9
14
Relative/friend
1
15
Other (specify)
2
Sysmiss
325
Which facility/practitioner - 2
Which health facilities/practitioners were mentioned?
* List up to 5 codes.
540
1878
1
National Referral Hosp. (Kenyatta, Moi)
24
2
Government District/Provincial Hosp.
91
3
Mosoriot Rural Health Center
150
4
Government Health Center (exc. Mosoriot)
36
5
Government dispensary
126
6
Mission hospital/clinic
67
7
Other private hospital/clinic
9
8
Chemist/pharmacy
12
9
Private doctor (like priv. clinic)
9
10
Mobile clinic
0
11
Community health worker
0
12
Retail shop
7
13
Herbalist/traditional healer
9
14
Relative/friend
0
15
Other (specify)
0
Sysmiss
1878
Which facility/practitioner - 3
Which health facilities/practitioners were mentioned?
* List up to 5 codes.
83
2335
1
National Referral Hosp. (Kenyatta, Moi)
2
2
Government District/Provincial Hosp.
28
3
Mosoriot Rural Health Center
9
4
Government Health Center (exc. Mosoriot)
0
5
Government dispensary
11
6
Mission hospital/clinic
24
7
Other private hospital/clinic
0
8
Chemist/pharmacy
2
9
Private doctor (like priv. clinic)
4
10
Mobile clinic
0
11
Community health worker
0
12
Retail shop
2
13
Herbalist/traditional healer
1
14
Relative/friend
0
15
Other (specify)
0
Sysmiss
2335
Which facility/practitioner - 4
Which health facilities/practitioners were mentioned?
* List up to 5 codes.
5
2413
1
National Referral Hosp. (Kenyatta, Moi)
0
2
Government District/Provincial Hosp.
4
3
Mosoriot Rural Health Center
0
4
Government Health Center (exc. Mosoriot)
1
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
Sysmiss
2413
Which facility/practitioner - 5
Which health facilities/practitioners were mentioned?
* List up to 5 codes.
0
2418
1
National Referral Hosp. (Kenyatta, Moi)
0
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)
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
2418
Which facility/practitioner - Other
Which health facilities/practitioners were mentioned? Other (specify).
* List up to 5 codes.
2
0
Malaria medicines mentioned
Were any medicines for malaria mentioned in your conversation?
If answer is 2 > Go to 9 (netb9 - variable name in dataset).
2418
0
1
Yes
1340
2
No
1072
8
5
9
1
Mentioned medicines - 1
Which medicines for malaria were mentioned in your conversation?
* List up to 3 codes.
1345
1073
1
99
4.943
8.263
1
Antipyretics (aspro, calpol, brufen, etc)
153
2
Chloroquine (malaroquine, etc)
47
3
Sulfa combinations (fansidar,metakelfin)
739
4
Halofantrine (hanfan)
1
5
Amodiaquine (camoquine)
121
6
Cotrimoxazole (bactrim, septrin)
4
7
Artimisinin (artenam, artomothor)
1
8
Herbal/traditional remedies
27
9
Other, specify
2
10
Quinine
238
13
3
99
9
Sysmiss
1073
Mentioned medicines - 2
Which medicines for malaria were mentioned in your conversation?
* List up to 3 codes.
802
1616
1
99
4.153
4.588
1
Antipyretics (aspro, calpol, brufen, etc)
251
2
Chloroquine (malaroquine, etc)
35
3
Sulfa combinations (fansidar,metakelfin)
188
4
Halofantrine (hanfan)
0
5
Amodiaquine (camoquine)
181
6
Cotrimoxazole (bactrim, septrin)
2
7
Artimisinin (artenam, artomothor)
0
8
Herbal/traditional remedies
2
9
Other, specify
6
10
Quinine
136
99
1
Sysmiss
1616
Mentioned medicines - 3
Which medicines for malaria were mentioned in your conversation?
* List up to 3 codes.
206
2212
1
Antipyretics (aspro, calpol, brufen, etc)
89
2
Chloroquine (malaroquine, etc)
13
3
Sulfa combinations (fansidar,metakelfin)
32
4
Halofantrine (hanfan)
0
5
Amodiaquine (camoquine)
45
6
Cotrimoxazole (bactrim, septrin)
6
7
Artimisinin (artenam, artomothor)
3
8
Herbal/traditional remedies
5
9
Other, specify
0
10
Quinine
13
Sysmiss
2212
Mentioned medicines - Other
Which medicines for malaria were mentioned in your conversation? Other (specify).
* List up to 3 codes.
7
0
Discussed how to prevent malaria
Have you discussed how to prevent malaria with this person?
If answer is 2 > Go to next IRID.
2418
0
1
Yes
1473
2
No
932
8
12
9
1
Ways to prevent malaria discussed - 1
What ways of prevention did you discuss with this person?
* List up to 3 ways.
1485
933
1
Use mosquito nets
921
2
Avoid having stagnant water near the household
78
3
Clear bushes near household
91
4
Use insecticides, coils, or repellants
280
5
Take prophylaxis or medicines
108
6
Other (specify)
4
8
3
Sysmiss
933
Ways to prevent malaria discussed - 2
What ways of prevention did you discuss with this person?
* List up to 3 ways.
881
1537
1
Use mosquito nets
148
2
Avoid having stagnant water near the household
153
3
Clear bushes near household
173
4
Use insecticides, coils, or repellants
277
5
Take prophylaxis or medicines
121
6
Other (specify)
9
Sysmiss
1537
Ways to prevent malaria discussed - 3
What ways of prevention did you discuss with this person?
* List up to 3 ways.
418
2000
1
Use mosquito nets
51
2
Avoid having stagnant water near the household
52
3
Clear bushes near household
80
4
Use insecticides, coils, or repellants
91
5
Take prophylaxis or medicines
143
6
Other (specify)
1
Sysmiss
2000
Ways to prevent malaria discussed - Other
What ways of prevention did you discuss with this person? Other (specify).
* List up to 3 ways.
14
0
Network module
3927
0
1
Yes
3927
2
No
0
Household ID
Household ID
3927
0
Respondent ID
Respondent ID
3927
0
Day of interview
Date of Interview. Day.
3927
0
Month of interview
Date of Interview. Month.
3927
0
Year of interview
Date of Interview. Year.
3927
0
Column number
I am now going to ask you some questions about people (other than your spouse, but including relatives, friends, and even other household members) with whom you have discussed HIV/AIDS in the past 12 months. Please keep in mind that while I may ask you for their names, I will not discuss anything you tell me with them.
14
3913
Names of people discussed HIV/AIDS
Could you please give me the first names of three people with whom you have discussed HIV/AIDS?
3908
0
IRID code
Read to respondent: Now I would like to ask you about your conversations with each of these three people.
IRID Code of person
3927
0
Last conversation about HIV/AIDS
When was your last conversation with [IRID] about HIV/AIDS?
3927
0
1
in the past week
1190
2
in the past month
1245
3
less than six months ago
1076
4
more than six months ago
358
6
2
8
54
9
2
88
don’t recall
0
Chances of having HIV/AIDS
Does [IRID] think his/her chance of having HIV/AIDS is great, moderate, small, or does he/she think he/she is at no risk at all?
Go to 6 (netc6 - variable name in dataset).
If answer is 99 > Go to 7 (netc7 - variable name in dataset).]]>
3927
0
1
High
518
2
Moderate
272
3
Low
1114
4
No risk at all
574
9
1449
99
Don’t Know
0
Why has no risk/small chance of having HIV/AIDS
Why does [IRID] think he/she has no risk/small chance of having HIV/AIDS?
Go to 7 (netc7 - variable name in dataset).
1690
2237
1
abstains
219
2
uses condoms
55
3
has sex only with spouse/one partner
1262
4
limited number of partners
48
5
spouse(s) has/have no other partner
47
6
no blood transfusions, no injections
3
7
other (specify)
44
8
3
9
9
Sysmiss
2237
Why has no risk/small chance of having HIV/AIDS - Other
Why does [IRID] think he/she has no risk/small chance of having HIV/AIDS? Other (specify).
Go to 7 (netc7 - variable name in dataset).
44
0
Why think has moderate chance
Why does [IRID] think he/she has moderate/high chance of having HIV/AIDS?
789
3138
1
Does not use condoms
8
2
more than one sex partner
174
3
many sex partners
90
4
spouse has other partners
156
5
blood transfusion
3
6
had injections
4
7
spouse died
69
8
other (specify)
283
9
2
Sysmiss
3138
Why think has moderate chance
Why does [IRID] think he/she has moderate/high chance of having HIV/AIDS? Other (specify).
204
0
What think is the best way to prevent HIV/AIDS
What does [IRID] think is the best way to prevent HIV/AIDS?
3927
0
1
Abstinence
389
2
sex only with husband/wife
2383
3
condom with spouse
136
4
condom with extramarital partner(s)
343
5
medication (specify)
35
6
other (specify)
4
8
28
9
609
99
Don’t Know
0
What think is the best way to prevent HIV/AIDS - Other
What does [IRID] think is the best way to prevent HIV/AIDS? Medication (specify)/Other (specify).
21
0
Ever gone for HIV test
Has [IRID] ever gone for an HIV test?
If answer is 3 or 99 > Go to 9 (netc9 - variable name in dataset).
3927
0
1
Yes – VCT
745
2
Yes – ANC or some other clinic
123
3
No
2241
8
4
9
814
99
Don’t Know
0
Result of HIV/AIDS test
What was the result of [IRID’s] HIV test?
* emphasize confidentiality when asking this question.
868
3059
1
HIV-Positive
415
2
HIV-Negative
401
3
Won’t say
5
8
25
9
22
Sysmiss
3059
Network module
10927
0
1
Yes
10927
2
No
0
Household ID
Household ID
10927
0
Respondent ID
Respondent ID
10927
0
Day of interview
Date of Interview. Day.
10927
0
Month of interview
Date of Interview. Month.
10927
0
Year of interview
Date of Interview. Year.
10927
0
Relation
Relation
10927
0
1
Father
2
Mother
3
Brother
4
Sister
5
Other male relative (brother in-laws, father in-law, sons, etc)
6
Other female relative (sister in-laws, mother in-law, daughters, etc.)
7
Friends
Talked to about HIV/AIDS
Probe and complete questions 2-10 if many people are mentioned here.
10927
0
1
Yes
4194
2
No
5316
3
N/A
1356
8
61
People talked to
Number of people you’ve talked to in [Relation] category in the past year
4199
6728
1
99
4.037
11.891
Network module
7805
0
1
Yes
7805
2
No
0
Household ID
Household ID
7805
0
Respondent ID
Respondent ID
7805
0
Day of interview
Date of Interview. Day.
7805
0
Month of interview
Date of Interview. Month.
7805
0
Year of interview
Date of Interview. Year.
7805
0
Position
Position
7805
0
1
Traditional birth attendants (TBAs)
2
Nurses/doctors/counsellors
3
Teachers
4
Chiefs
5
Pastors
Talked to about HIV/AIDS
Probe and complete questions 2-10 if many people are mentioned here.
7805
0
1
Yes
1372
2
No
6390
8
43
People talked to
Number of people you’ve talked to in [position] category in the past year
1372
6433
1
99
2.518
7.606
Network module
11046
0
1
Yes
11046
2
No
0
Household ID
Household ID
11046
0
Respondent ID
Respondent ID
11046
0
Day of interview
Date of Interview. Day.
11046
0
Month of interview
Date of Interview. Month.
11046
0
Year of interview
Date of Interview. Year.
11046
0
Line number
All the people listed on the individual roster, from round 1 and round 2.
47
10999
IRID code
IRID Code
All the people listed on the individual roster, from round 1 and round 2.
11046
0
If need 2000 ksh, would ask
If you were to need 2,000 KShs today, would you ask [IRID]?
All the people listed on the individual roster, from round 1 and round 2.
11046
0
1
Yes
7398
2
No
3078
7
439
8
Dead
128
9
3
If asked for 2000 ksh, would give
If [IRID] asked for a gift or loan of 2,000 KShs today would you give it to him/her?
All the people listed on the individual roster, from round 1 and round 2.
11046
0
1
Yes
8816
2
No
1657
7
439
8
Dead
131
9
3
Living standard higher
Is this person’s living standard higher than yours, the same, or lower than yours?
All the people listed on the individual roster, from round 1 and round 2.
11046
0
1
Higher
3833
2
The same
4866
3
Lower
2197
7
6
8
50
9
94
99
Don't Know
0
Type of roof does house have
What type of roof does this person’s house have?
All the people listed on the individual roster, from round 1 and round 2.
11046
0
1
Thatch
1239
2
Metal
9409
3
Tile
152
7
6
8
34
9
206
99
Don't Know
0
Education level
How much education has this person had?
All the people listed on the individual roster, from round 1 and round 2.
11046
0
0
7
1
None
1169
2
Primary
5502
3
Secondary
2819
4
Post-sec
932
7
8
8
32
9
577
Network module
31220
0
1
Yes
31220
2
No
0
Household ID
Household ID
31220
0
Respondent ID
Respondent ID
31220
0
Day of interview
Date of Interview. Day.
31220
0
Month of interview
Date of Interview. Month.
31220
0
Year of interview
Date of Interview. Year.
31220
0
Line number
Now I would like to ask you about the people you have mentioned so far in our conversations with you. I would like to know about how these people are related to each other. The reason is that by acquiring a better picture of these relations, we hope to better understand the degree of cooperation between these person.
Ask for each pair: Are NAME ON ROW and NAME ON COLUMN family members (with each other NOT with the respondent), friends, acquaintances, or do they not know each other?
All of the people listed on the individual roster, from round 1 and round 2.
47
31173
R01 relationship
R01
All of the people listed on the individual roster, from round 1 and round 2.
9469
21751
1
Family members
2552
2
Friends
958
3
Acquaintances
3336
4
Workmate
12
5
Don’t know each other
1571
6
Respondent does not know
74
7
One of the persons is dead
955
8
9
9
2
Sysmiss
21751
R02 relationship
R02
All of the people listed on the individual roster, from round 1 and round 2.
7938
23282
1
Family members
1838
2
Friends
981
3
Acquaintances
3084
4
Workmate
21
5
Don’t know each other
1332
6
Respondent does not know
40
7
One of the persons is dead
633
8
7
9
2
Sysmiss
23282
R03 relationship
R03
All of the people listed on the individual roster, from round 1 and round 2.
6419
24801
1
Family members
1295
2
Friends
897
3
Acquaintances
2637
4
Workmate
41
5
Don’t know each other
915
6
Respondent does not know
41
7
One of the persons is dead
583
8
10
Sysmiss
24801
R04 relationship
R04
All of the people listed on the individual roster, from round 1 and round 2.
4953
26267
1
Family members
870
2
Friends
735
3
Acquaintances
2169
4
Workmate
49
5
Don’t know each other
685
6
Respondent does not know
44
7
One of the persons is dead
396
8
5
Sysmiss
26267
R05 relationship
R05
All of the people listed on the individual roster, from round 1 and round 2.
3673
27547
1
Family members
662
2
Friends
567
3
Acquaintances
1602
4
Workmate
26
5
Don’t know each other
500
6
Respondent does not know
25
7
One of the persons is dead
286
8
5
Sysmiss
27547
R06 relationship
R06
All of the people listed on the individual roster, from round 1 and round 2.
2550
28670
1
Family members
425
2
Friends
393
3
Acquaintances
1141
4
Workmate
22
5
Don’t know each other
346
6
Respondent does not know
23
7
One of the persons is dead
189
8
10
9
1
Sysmiss
28670
R07 relationship
R07
All of the people listed on the individual roster, from round 1 and round 2.
1659
29561
1
Family members
283
2
Friends
232
3
Acquaintances
769
4
Workmate
16
5
Don’t know each other
231
6
Respondent does not know
14
7
One of the persons is dead
108
8
6
Sysmiss
29561
R08 relationship
R08
All of the people listed on the individual roster, from round 1 and round 2.
1050
30170
1
Family members
174
2
Friends
137
3
Acquaintances
500
4
Workmate
9
5
Don’t know each other
142
6
Respondent does not know
10
7
One of the persons is dead
77
8
1
Sysmiss
30170
R09 relationship
R09
All of the people listed on the individual roster, from round 1 and round 2.
650
30570
1
Family members
92
2
Friends
85
3
Acquaintances
324
4
Workmate
3
5
Don’t know each other
92
6
Respondent does not know
6
7
One of the persons is dead
45
8
3
Sysmiss
30570
R10 relationship
R10
All of the people listed on the individual roster, from round 1 and round 2.
391
30829
1
Family members
70
2
Friends
38
3
Acquaintances
179
4
Workmate
11
5
Don’t know each other
69
6
Respondent does not know
4
7
One of the persons is dead
19
8
1
Sysmiss
30829
R11 relationship
R11
All of the people listed on the individual roster, from round 1 and round 2.
221
30999
1
Family members
38
2
Friends
20
3
Acquaintances
101
4
Workmate
10
5
Don’t know each other
32
6
Respondent does not know
1
7
One of the persons is dead
17
8
2
Sysmiss
30999
R12 relationship
R12
All of the people listed on the individual roster, from round 1 and round 2.
119
31101
1
Family members
17
2
Friends
13
3
Acquaintances
61
4
Workmate
5
5
Don’t know each other
17
6
Respondent does not know
0
7
One of the persons is dead
5
8
1
Sysmiss
31101
R13 relationship
R13
All of the people listed on the individual roster, from round 1 and round 2.
66
31154
1
Family members
6
2
Friends
8
3
Acquaintances
39
4
Workmate
2
5
Don’t know each other
10
6
Respondent does not know
0
7
One of the persons is dead
1
Sysmiss
31154
R14 relationship
R14
All of the people listed on the individual roster, from round 1 and round 2.
37
31183
1
Family members
3
2
Friends
2
3
Acquaintances
20
4
Workmate
6
5
Don’t know each other
5
6
Respondent does not know
0
7
One of the persons is dead
1
Sysmiss
31183
R15 relationship
R15
All of the people listed on the individual roster, from round 1 and round 2.
20
31200
1
Family members
3
2
Friends
3
3
Acquaintances
10
4
Workmate
0
5
Don’t know each other
4
6
Respondent does not know
0
7
One of the persons is dead
0
Sysmiss
31200
R16 relationship
R16
All of the people listed on the individual roster, from round 1 and round 2.
11
31209
1
Family members
4
2
Friends
1
3
Acquaintances
5
4
Workmate
1
5
Don’t know each other
0
6
Respondent does not know
0
7
One of the persons is dead
0
Sysmiss
31209
R17 relationship
R17
All of the people listed on the individual roster, from round 1 and round 2.
5
31215
1
Family members
2
2
Friends
0
3
Acquaintances
2
4
Workmate
0
5
Don’t know each other
1
6
Respondent does not know
0
7
One of the persons is dead
0
Sysmiss
31215
R18 relationship
R18
All of the people listed on the individual roster, from round 1 and round 2.
2
31218
1
Family members
1
2
Friends
0
3
Acquaintances
1
4
Workmate
0
5
Don’t know each other
0
6
Respondent does not know
0
7
One of the persons is dead
0
Sysmiss
31218
R19 relationship
R19
All of the people listed on the individual roster, from round 1 and round 2.
0
31220
1
Family members
0
2
Friends
0
3
Acquaintances
0
4
Workmate
0
5
Don’t know each other
0
6
Respondent does not know
0
7
One of the persons is dead
0
Sysmiss
31220
R20 relationship
R20
All of the people listed on the individual roster, from round 1 and round 2.
0
31220
1
Family members
0
2
Friends
0
3
Acquaintances
0
4
Workmate
0
5
Don’t know each other
0
6
Respondent does not know
0
7
One of the persons is dead
0
Sysmiss
31220
Youth Module
393
0
1
Yes
393
2
No
0
Household ID
Household ID
393
0
Respondent ID
Respondent ID
392
1
Day of interview
Date of Interview. Day.
393
0
Month of interview
Date of Interview. Month.
393
0
Year of interview
Date of Interview. Year.
393
0
1. Sex
Sex of Respondent
393
0
1
Male
220
2
Female
173
2. Age
What is your age?
387
6
16
98
23.543
11.622
3. Month of birth
In what month and year were you born? Month.
387
6
99
Don’t Know
3. Year of birth
In what month and year were you born? Year.
383
10
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).
393
0
1
Yes
148
2
No
245
5. Expect to remain in school during 2005
Do you expect to remain in school during 2005?
Go to 7 (y07 - variable name in dataset).
147
246
1
Yes
143
2
No
3
8
1
Sysmiss
246
6.Have attended school since round 1
Have you attended school since [round 1] (in 2004 if new youth)?
If answer is 2 > Go to 8 (y08 - variable name in dataset).
247
146
1
Yes
21
2
No
225
8
1
Sysmiss
146
7. Days of school missed in past 3 months
How many days of school did you miss in the past three months?
Don't include holidays.
167
226
88
missed all of second term
8. Reasons why missed school
What was the main reason why you missed school?
313
80
1
98
6.364
10.671
1
Own illness
28
2
Caring for a sick family member
5
3
Working
29
4
Insufficient funds
99
5
Fostered out
0
6
School was closed
0
7
Completed all my schooling
105
8
Other (specify)
43
8. Reasons why missed school (Other)
What was the main reason why you missed school? Other (specify).
42
0
9. Highest level of schooling plan to complete
What is the highest level of schooling you plan to complete?
392
1
1
Nursery
7
2
Primary
105
3
Secondary
94
4
Post-secondary
185
8
1
Sysmiss
1
10. Currently married or living with partner
Are you currently married or living with a partner?
Go to 13 (y13 - variable name in dataset).]]>
393
0
1
Yes – legally married
9
2
Yes – living with partner
17
3
No – spouse died
2
4
No – separated
16
5
No – never married
349
11. Currently engaged to be married
Are you currently engaged to be married?
If answer is 1 > Go to 13 (y13 - variable name in dataset).
367
26
1
Yes
23
2
No
344
Sysmiss
26
12. Expect to get married in next 2 years
Do you expect to get married in the next two years?
344
49
1
Yes
55
2
No
271
8
3
9
15
99
Don’t Know
0
Sysmiss
49
13. Person who looks health have HIV virus
393
0
1
Yes
316
2
No
55
9
22
99
Don’t Know
0
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).]]>
393
0
1
Yes
133
2
No
260
15. Relationship to this person
What was your relation to this person?
* If there are multiple persons, ask about person who died more recently.
133
260
1
Household member
3
2
Relative in this Division
16
3
Relative elsewhere
7
4
Non-relative in this Division
99
5
Non-relative elsewhere
8
Sysmiss
260
16. How many people have died from AIDS
How many people (in total) known to you personally have died from AIDS?
391
2
0
98
5.266
11.664
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).]]>
393
0
1
Yes
126
2
No
266
8
1
18. Relationship to this person
What was/is your relation to this person?
Go to 21 (y21- variable name in dataset).]]>
127
266
1
Household member
8
2
Relative in this Division
14
3
Relative elsewhere
3
4
Non-relative in this Division
94
5
Non-relative elsewhere
7
8
1
Sysmiss
266
19. What happened to person's health since receiving treatme
What happened to this person's health since receiving treatment?
127
266
1
Recovered/Improved
121
2
Remained sick
4
3
Got more sick
0
4
Too early to tell
0
5
Died
1
8
1
99
Don’t Know
0
Sysmiss
266
20. In Kosirai Division, treatment for HIV is easily availab
In Kosirai Division, do you know whether treatment for HIV/AIDS is easily available, available but not for everyone who needs it, or not available at all?
392
1
1
Easily available
270
2
Available, but not for everyone who needs it
46
3
Not available at all
24
9
52
99
Don’t know
0
Sysmiss
1
21. Ever been tested for HIV
If answer is 2 > Go to 29 (y29 - variable name in dataset).
392
1
1
Yes
52
2
No
340
Sysmiss
1
22. Month when tested for HIV
When did you get tested for HIV? Month.
*Record most recent testing date.
52
341
22. Year when tested for HIV
When did you get tested for HIV? Year.
*Record most recent testing date.
52
341
23. Where got tested
Where did you get tested for HIV?
52
341
1
Mosoriot Health Center
39
2
Turbo Health Center
0
3
Burnt Forest Health Center
1
4
Eldoret
3
5
Kapsabet
5
6
Kisumu
0
7
Other (specify)
4
99
Don’t know
0
Sysmiss
341
23. Where got tested (Other)
Where did you get tested for HIV? Other (specify).
4
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).
52
341
1
VCT clinic
45
2
Antenatal clinic
6
3
Other (specify)
0
4
Won’t say
1
Sysmiss
341
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).
0
0
25. Main reason went for an HIV test
46
347
1
HIV-Positive
4
2
HIV-Negative
1
3
Won’t say
1
4
Have not received results yet
15
6
15
7
3
8
7
Sysmiss
347
25. Main reason went for an HIV test (Other)
6
0
26. Result of HIV test
What was the result of your HIV test?
Emphasize confidentiality when asking this question.
52
341
1
HIV-Positive
15
2
HIV-Negative
36
3
Won’t say
0
4
Have not received results yet
1
Sysmiss
341
27. Who informed about the status
Who have you informed about your status?
* list the 3 people that were informed first
52
341
1
98
10.288
25.656
1
Partner
20
2
Father
5
3
Mother
7
4
Sister/brother
4
5
Other relative in household
4
6
Other relative elsewhere
0
7
Friend
8
8
Other (specify)
0
98
4
Sysmiss
341
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
35
358
1
Partner
1
2
Father
5
3
Mother
11
4
Sister/brother
6
5
Other relative in household
2
6
Other relative elsewhere
3
7
Friend
6
8
Other (specify)
1
Sysmiss
358
27. Who informed about the status (Other)
Who have you informed about your status? Other (specify).
* list the 3 people that were informed first
1
0
27. Who informed about the status
Who have you informed about your status?
* list the 3 people that were informed first
22
371
1
Partner
0
2
Father
1
3
Mother
6
4
Sister/brother
8
5
Other relative in household
0
6
Other relative elsewhere
2
7
Friend
5
8
Other (specify)
0
Sysmiss
371
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?
52
341
1
Yes
20
2
No
32
Sysmiss
341
29. Chances of geting HIV
Do you think your chances of having HIV/AIDS are high, moderate, low, or do you think you are at no risk at all?
392
1
1
High
37
2
Moderate
14
3
Low
174
4
No risk at all
166
9
1
Sysmiss
1
30. Percent chance that currently have HIV
What do you think is the percent chance (0 to 100) that you currently have HIV/AIDS?
392
1
0
100
17.686
28.596
31A. Age when first had sexual intercourse
New youths only:
How old were you when you first had sexual intercourse. Age in years.
If answer is 99 (never)> Go to 36 (y36 - variable name in dataset).
New youths only.
115
278
99
Never
31B. Total numbers of sexual partner have had
All youths
What is the total number of sexual partners that you have had? [Number of partners in lifetime]
If answer is 0 > Go to 36 (y36 - variable name in dataset).
365
28
0
98
5.293
15.886
32A. Been sexual active in past 6 months
Have you been sexually active in the past 6 months?
If answer is 2 > Go to 34 (y34 - variable name in dataset).
321
72
1
Yes
159
2
No
161
8
1
Sysmiss
72
32B. How many different sexual partners in past 6 months
How many different sexual partners have you had in the past 6 months? [Number of partners in past 6 months]
160
233
1
98
1.838
7.677
33A. Last time had sex with main partner used condom
During the last time you had sex with your spouse or main partner, did you use a condom?
160
233
1
Yes
91
2
No
66
3
N/A
2
8
1
Sysmiss
233
33B. Last time had sex in casual encounter used condom
During the last time you had sex in a casual encounter, did you use a condom?
160
233
1
Yes
42
2
No
15
3
N/A
101
8
2
Sysmiss
233
34. How often use condoms when having sex
How often do you use condoms when having sex?
323
70
1
Always
107
2
Almost Always
77
3
Very Seldom
57
4
Never
76
8
6
Sysmiss
70
35. Spouse/main partner has other sexual partners
Do you think that your spouse or main partner has other sexual partners besides you?
323
70
1
Yes
47
2
No
209
3
N/A
38
8
5
9
24
Sysmiss
70
36. Have had any technical training
Have you had any technical or professional training?
392
1
1
Technical
20
2
Professional
29
3
On-the-job
3
4
No
338
8
2
Sysmiss
1
37. Plan to receive additional technical training
Do you plan to receive any additional technical or professional training in the next 1 year?
392
1
1
Yes
139
2
No
250
4
1
8
2
Sysmiss
1
38. Amount have spent on non-food items
What is total amount you yourself have spent on non-food items (such as clothing, shoes, bicycles, watches, etc.) in the past 6 months? Amount in KSh
392
1
0
60000
1983.194
3543
39. Have received financial assistance from friends in past
Have you received any financial assistance from friends and relatives in the past 6 months?
If answer is 2 > Go to 41 (y41 - variable name in dataset).
392
1
1
Yes
200
2
No
190
8
2
Sysmiss
1
40. Value of all the assistance have receieved in past 6 mon
What is the value of all the assistance you have received in the past 6 months?
202
191
50
10000
1067.455
1146.55
41. Main non-schooling activity during the past 6 months
During the past 6 months, what has been you main nonschooling activity?
Go to 44 (y44 - variable name in dataset).]]>
392
1
1
Farming
180
2
Wage/Salaried Employment
112
3
Non-farm Self-Employment
51
4
Unemployed/did not work
47
8
2
Sysmiss
1
42. During past month how much money earned for all the work
During the past month, how much money did you yourself earn for all of the work you did? Amount in KSh.
345
48
0
40000
1623.901
3439.092
43. How amount compare to what usually earned every month in
How does this amount compare to what you usually earned every month in the past year?
345
48
1
More
74
2
About the same
154
3
Less
116
8
1
Sysmiss
48
44. Expect to look for another job in next 6 montths
Do you expect to look for another job in the next 6 months?
393
0
0
1
1
Yes
184
2
No
205
8
3