Kenya Integrated Household Budget Survey 2005-2006
DDI-KEN-KNBS-KIHBS-2005-2006-v1.3
Kenya National Bureau of Statistics
Kenya National Bureau of Statistics
2007-12-03
Metadata Editor
KIHBS 2005-2006 Version 1.1: This is the IHSN reviewed version which contains some updates compared to version 1.0
Kenya Integrated Household Budget Survey 2005-2006
KIHBS 2005-2006
KEN-KNBS-KIHBS-2005-2006-v1.3
Kenya National Bureau of Statistics
Metadata Editor
Government of Kenya
Department for International Development(UK)
United States Agency for International Developmant
General Data Dissemination System
Director General
Integrated Survey (non-LSMS) [hh/is]
Compared to v1.1 this version this version has been subjected to basic anonymization procedure. This involved (a) removing NASSEPIV indentifiers below the district level, (b) scramling of NASSEPIV household identifiers and replaced by a serialised household identifier, and (c) removing household GIS coordinates. In addition this version contains additional modules; Labour Child health and enterprises.
KENYA
The survey covered all household members (usual residents), all women aged 15-49 years resident in the household, and all children aged 0-4 years (under age 5) resident in the household.
Sample survey data [ssd]
Kenya National Bureau of Statistics
From the design sample of 1,343 clusters, only 1,339 clusters were covered the remianing 4 clusters were not covered due to Inaccessibilty and security issues.
Face-to-face [f2f]
Estimates of sampling error was calculated for the poverty level estimates only using .............
Kenya National Bureau of Statistics
"Kenya Integrated Household Budget Survey 2005-2006, Version 1.0 of the KNBS dataset "
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Section A Identification.NSDstat
The file contains data related to Section A of the Integrated Household Budget Survey (KIHBS) 2005/06 questionnaire (Household Identification). It also contains the weighting coeffient
13212
13
Nesstar 200401
Kenya National Bureau of Staistics
Consistency checks performed
Section B Household member Information.NSDstat
66725
32
Nesstar 200401
Section C education.NSDstat
59126
40
Nesstar 200401
Section D Health.NSDstat
66677
41
Nesstar 200401
Section D Fertility.NSDstat
53311
17
Nesstar 200401
section D Deaths.NSDstat
12986
10
Nesstar 200401
Section E Labour.NSDstat
62256
35
Nesstar 200401
Section F Child health.NSDstat
51485
63
Nesstar 200401
Section G Housing.NSDstat
13077
24
Nesstar 200401
Section H1 Water Sanitation.NSDstat
12997
48
Nesstar 200401
Section H2 Energy.NSDstat
71304
17
Nesstar 200401
Section N Agriculture Holding.NSDstat
16804
45
Nesstar 200401
Section O Agriculture Output.NSDstat
28301
44
Nesstar 200401
Section P1 Livestock.NSDstat
28248
40
Nesstar 200401
Section P2 Livestock.NSDstat
27176
11
Nesstar 200401
Section Q Household Enterprises.NSDstat
13311
40
Nesstar 200401
Section R Transfers.NSDstat
12924
24
Nesstar 200401
Kenya national Bureau of Statistics
Version 1.0
Section S Other Income.NSDstat
Information has already been collected on income from employment, from agriculture, livestock, household enterprises and transfers. This section collects quite aggregated and general information on other income sources for the household. The reference period for this section is the last 12 months. Only if the household received income from one of the income sources considered in this section over the past 12 months, should it be noted.
12848
23
Nesstar 200401
Kenya National Bureau of Statistics
Section T Recent Shocks.NSDstat
This section collects information on household shocks, referred to here as negative economic and social impact on Household, resulting from an event/ occurrence that negatively affected the welfare of the household. Such shocks may not be economic nor necessarily wholly negative in their nature, but amongst the effects is to cause a reduction in the economic welfare of the household.
82506
14
Nesstar 200401
Kenya National Bureau of Statistics
Section U Credit.NSDstat
14149
20
Nesstar 200401
Kenya national Bureau of Statistics
Version 1.0
consumption aggregated data.NSDstat
13158
105
Nesstar 200401
Province Code
WRITE CODE and NAME for Province
PROVINCE
Please fill in A01 with the required information on the province
13212
35533585.6
0
0
1
8
The region (Province) where the cluster for enumeration is located. Administratively, Kenya is divided into eight (8) provinces, within each province are the districts and within each district are the divisions etc
1
Nairobi
672
2811411.6
2
Central
1481
4383435.6
3
Coast
1255
3278668.2
4
Eastern
2391
5832129.5
5
North Eastern
509
1106309.1
6
Nyanza
2111
5052689.7
7
Rift Valley
3285
8727520.8
8
Western
1508
4341421.1
District code
WRITE CODE and NAME for District
DISTRICT
Please fill in A02 with the required information on the province
13212
35533585.6
0
0
101
808
The district where the cluster for enumeration is located. Administratively, a provinces is divided into districts and within each district are the divisions etc
101
Nairobi
672
2811411.6
201
Kiambu
268
983764.7
202
Kirinyaga
190
541865.5
203
Muranga
167
367386.4
204
Nyandarua
190
541614.5
205
Nyeri
249
757361.1
206
Thika
247
723302.8
207
Maragua
170
468140.6
301
Kilifi
169
603872
302
Kwale
169
735140.9
303
Lamu
170
80472.4
304
Mombasa
240
890595.8
305
Taita Taveta
167
306934.9
306
Tana River
170
273838.3
307
Malindi
170
387813.9
401
Embu
169
367098.3
402
Isiolo
169
113697.7
403
Kitui
179
644013.3
404
Makueni
219
990023.4
405
Machakos
260
1201430
406
Marsabit
159
145580.6
407
Mbeere
170
205423
408
Meru Central
195
602695.7
409
Moyale
170
75782.3
410
Mwingi
170
384254
411
Nyambene
192
731215
412
Tharaka
170
119872.8
413
Meru South
169
251043.4
501
Garissa
169
398676
502
Mandera
170
318790.5
503
Wajir
170
388842.6
601
Gucha
169
514569.6
602
Homa Bay
165
307296
603
Kisii
178
534568
604
Kisumu
195
650845.6
605
Kuria
169
194052.5
606
Migori
186
568593.3
607
Nyamira
180
571378.6
608
Rachuonyo
170
400419.5
609
Siaya
199
552508.6
610
Suba
161
162576.9
611
Bondo
169
252380.1
612
Nyando
170
343501
701
Baringo
170
377415.7
702
Bomet
163
462239.8
703
Keiyo
170
193744.2
704
Kajiado
179
486699.5
705
Kericho
180
477983.2
706
Koibatek
170
186690.6
707
Laikipia
170
423588.2
708
Marakwet
153
178365.8
709
Nakuru
349
1331205.8
710
Nandi
190
770953.3
711
Narok
165
472382.2
712
Samburu
150
199219.2
713
Trans Mara
158
198722.1
714
Trans Nzoia
200
879600.9
715
Turkana
170
538948.6
716
Uasin Gishu
210
761022.2
717
West Pokot
168
376668
718
Buret
170
412071.5
801
Bungoma
249
1188440.7
802
Busia
168
533678.1
803
Mt. Elgon
170
225199.4
804
Kakamega
208
667142.9
805
Lugari
170
269514.2
806
Teso
166
252686.6
807
Vihiga
189
618792.5
808
Butere/Mumias
188
585966.7
Area of residence
13158
35412881.1
54
120704.5
1
2
The region (Residence- Rural/Urban) where the cluster for enumeration is located
1
Rural
8475
28325351.9
2
Urban
4683
7087529.2
This variable is derived by recoding the cluster variable as belonging to Rural stratification or Urban stratification. Those clusters in rural are given code 1 while those in Urban is giv en code 2
The original cluster (Codes) have been serialized to give the current codes (For the purpose of anonymization)
Cycle Number
13208
4
1
17
A period not exceeding 21 days in which each survey team in a given place before proceeding to the next cycle
1
Cycle 1
862
2
Cycle 2
860
3
Cycle 3
829
4
Cycle 4
832
5
Cycle 5
801
6
Cycle 6
795
7
Cycle 7
814
8
Cycle 8
792
9
Cycle 9
806
10
Cycle 10
752
11
Cycle 11
787
12
Cycle 12
741
13
Cycle 13
782
14
Cycle 14
710
15
Cycle 15
754
16
Cycle 16
683
17
Cycle 17
608
This variable is derived by recoding the time periods (each of 21 days) from the start of the survey to the end of the survey into respespective cycles.
Serialised Cluster Code
WRITE CODE and NAME for Cluster
13212
0
1
1339
668.949
386.743
The primary sampling unit
Serialised household code
WRITE down the household number
13212
0
1
10
5.465
2.86
A household is a person or a group of people living in the same compound (fenced or unfenced), answerable to the same head and sharing a common source of food and/or income as a single unit in the sense that they have common housekeeping arrangements (that is, share or are supported by a common budget).
Date of interview (CMC)
13208
4
1265
1276
1270.579
3.409
The Century month code for the date of interview
The century month code was derived from the month and year of interview
Household Size
13212
0
1
29
5.05
2.81
Total number of household members
The variable has been derived by summing up all household members within the household
is household replaced
DOES THIS HOUSEHOLD REPLACE ANOTHER SAMPLE HOUSEHOLD CHOSEN FOR THE SURVEY?
13212
6977232.4
0
0
1
2
Household replacement
1
Yes
1927
1006477.2
2
No
11285
5970755.2
why household replaced
WHY WAS ORIGINALLY SELECTED HOUSEHOLD REPLACED?
1927
1006477.2
11285
5970755.2
1
6
1
hld member could not be found
878
488962.5
2
respondent refused
185
82113.5
3
unoccupied
551
276832.4
4
not a residential building
44
15812
5
destroyed
103
58488.5
6
not found
166
84268.3
Filter variable
13212
6977232.4
0
0
1
2
The filter between the total number of households which participated in the survey and those tyhat were used for analysing the poverty status.
1
Households used for poverty estimation
13158
6953605
2
Excluded Households for poverty estimation
54
23627.4
Cluster weight
13212
0
11.1
3922.6
528.098
463.421
The weighting Coeffient at the household level
Population weight
13212
0
11.1
31785.6
2689.493
2880.011
he weighting Coeffient for the population
cluster
66725
0
1
1339
663.081
393.851
hhld serial number 1 - 10?
66725
0
1
10
5.429
2.86
modue ID code
66725
0
1
29
3.809
2.576
relationship
66725
0
1
10
3.45
2.077
sex
66725
0
1
2
1.507
0.5
age in years
66725
0
0
99
22.172
18.596
age in months
10097
56628
1
99
6.214
7.808
DOB, day
66694
31
1
99
50.488
41.662
DOB, month
66684
41
1
99
39.476
44.012
DOB, year
66719
6
1902
9999
2002.468
394.907
cummuated months ast 12 nonths
66711
14
0
99
1.536
8.959
hhld member no
65750
975
1
22
1.609
1.045
raised/brought up
65715
1010
1
6
1.692
1.189
district/country of birth
10494
56231
101
999
546.88
231.465
year of migration
10490
56235
1930
9999
2153.895
1121.266
reason for migrating
10479
56246
1
13
5.769
3.768
biological father alive
65745
980
1
99
57.382
46.92
age when biological father died
17662
49063
1
99
35.57
32.671
biological mother alive
65727
998
1
99
45.298
47.041
age when biological mother died
10583
56142
1
99
40.071
32.606
filter ques for 10 years +
65707
1018
1
2
1.296
0.456
religion
46214
20511
1
7
2.333
1.273
marital status
46197
20528
1
7
4.452
2.826
spouse/partner live in hhld
19212
47513
1
7
1.128
0.343
spouse/partner line no, 1
16698
50027
1
27
1.665
1.112
spouse/partner line no, 2
146
66579
1
16
3.863
3.106
spouse/partner line no, 3
10
66715
4
8
4.8
1.398
spouse/partner line no, 4
1
66724
2
2
2
spouse living outside
9133
57592
1
2
1.684
0.465
no of spouse living outside
3079
63646
1
6
1.126
0.413
no of kids 15 + years for hhld member
2016
64709
1
31
2.507
2.326
Filter variable
66725
0
1
2
1.004
0.0609
Serialised Cluster Number
59126
0
1
1339
660.914
393.478
Serialised HH Number
59126
0
1
10
5.428
2.86
Module ID code
59126
0
1
28
3.562
2.457
ed
59126
0
1
2
1
age < 3 years
4
2
age >= 3 years
59122
Ever attended school
59055
71
1
2
1
yes
47238
2
no
11817
Grade Completed
42877
16249
1
21
0
Pre-School
0
1
STD 1
2804
2
STD 2
3072
3
STD 3
3121
4
STD 4
3303
5
STD 5
3175
6
STD 6
3575
7
STD 7
4932
8
STD 8
6047
9
FORM 1
1108
10
FORM 2
1709
11
FORM 3
938
12
FORM 4
6170
13
FORM 5
26
14
FORM 6
343
15
UNIV 1
73
16
UNIV 2
66
17
UNIV 3
136
18
UNIV 4
305
19
UNIV 5 & above
141
20
NONE
1610
21
OTHER
223
25
Not Stated
0
Year completed highest grade
41396
17730
1914
9999
2087.814
854.26
Highest vocational training completed
42876
16250
1
4
1
govn college
2500
2
commercial college
2531
3
vocational/village
840
4
none
37005
Highest educational qualification acquired
47170
11956
1
11
1
none
28731
2
CPE/KCPE
9920
3
KCE/KCSE
4370
4
KJSE
338
5
KACE/EAACE
188
6
certificate
2220
7
diploma private institution
431
8
diploma
305
9
degree
394
10
post graduate degree/diploma
155
11
others
118
Age started school
47147
11979
1
99
6.789
6.247
Attended school last year
47162
11964
1
2
1
yes
23398
2
no
23764
Graded attended last year
19230
39896
1
23
0
pre school
0
1
std 1
2614
2
std 2
2451
3
std 3
2170
4
std 4
1923
5
std 5
1961
6
std 6
1902
7
std 7
1656
8
std 8
1323
9
form 1
683
10
form 2
625
11
form 3
554
12
form 4
510
13
form 5
24
14
form 6
11
15
university 1
83
16
university 2
52
17
university 3
57
18
university 4
28
19
university 5 & above
26
20
govn college
197
21
commercial college
237
22
vocational village
24
23
others
119
Currently attending school
47161
11965
1
2
1
yes
23950
2
no
23211
Reason for not or never attended school - main
31644
27482
1
12
0
Still too young
0
1
No money
12705
2
Poor Schools
154
3
Own illness/Disability
709
4
Family illness/Disability
342
5
Not interested
2859
6
Parents did not let me
4388
7
Working to help at home
1749
9
School too far
536
10
School conflict with beliefs
793
11
Other
5550
15
Not Stated
0
Reason for not or never attended school - second
5873
53253
1
12
0
Still too young
0
1
No money
718
2
Poor Schools
245
3
Own illness/Disability
75
4
Family illness/Disability
174
5
Not interested
351
6
Parents did not let me
1172
7
Working to help at home
1750
9
School too far
347
10
School conflict with beliefs
442
11
Completed school
156
12
Other
439
15
Not Stated
0
Current Grade
20408
38718
1
23
0
Pre-School
0
1
STD 1
2702
2
STD 2
2435
3
STD 3
2370
4
STD 4
2179
5
STD 5
1857
6
STD 6
1877
7
STD 7
1962
8
STD 8
1489
9
FORM 1
758
10
FORM 2
649
11
FORM 3
626
12
FORM 4
538
13
FORM 5
26
14
FORM 6
19
15
UNIV 1
54
16
UNIV 2
63
17
UNIV 3
49
18
UNIV 4
47
19
UNIV 5 & above
25
20
Government College
182
21
264
22
Village
38
23
OTHER
199
25
Not Stated
0
Management of school
23940
35186
1
10
1
Government
19648
2
Private Church
1113
3
Private Muslim
106
4
Private Other
2716
5
Community
305
9
Community
49
15
Not Stated
0
School session past 2 weeks
19931
39195
1
14
9.718
1.743
Days attended school past 2 weeks
19634
39492
1
14
9.307
2.103
filter question for c08 7 c10
58895
231
1
2
1
yes'
25068
2
no
33827
Temporary out of school 2 weeks consecutivey
25046
34080
1
2
1
yes'
2460
2
no
22586
Reason
2344
56782
1
11
0
Still too young
0
1
No money
929
2
Poor Schools
74
3
Own illness/Disability
829
4
Family illness/Disability
36
5
Not interested
140
6
Parents did not let me
15
7
Working to help at home
44
9
School too far
10
10
School conflict with beliefs
13
11
Other
251
15
Not Stated
0
Tuition
25221
33905
0
900000
3202.954
19904.33
Books and other materials
25223
33903
0
320000
331.633
2633.33
Uniform
25237
33889
0
60000
416.693
1036.339
Boarding
25196
33930
0
240000
353.2
3298.128
Transport
25198
33928
0
240000
258.896
2919.448
School maintenance
25200
33926
0
15000
75.244
480.653
Extra tuition
25206
33920
0
54000
128.6
818.704
Examination
25211
33915
0
700000
183.972
4506.941
PTA
25194
33932
0
50000
57.574
500.491
Pocket
25215
33911
0
300000
378.021
3695.953
Other
25214
33912
0
600000
590.015
6482.916
Total
25243
33883
0
1802000
7566.836
34249.532
Contribution on school from outside hhld
25268
33858
0
20
1
yes'
1868
2
no
23097
Value of assistance past 12 months (kshs)
25168
33958
0
7700000
1893.436
70384.377
Received scholarship
24958
34168
1
2
1
yes'
413
2
no
24545
Value of scholarship past 12 months (kshs)
419
58707
1
2000000
25536.088
115156.463
Read in any language
58954
172
1
9
1
can not read at all
16185
2
can read part of the sentense
8120
3
can read whole sentense
34187
4
no sentense is required
403
Write in any language
58875
251
1
2
1
yes'
40987
2
no
17888
cluster
66677
0
1
1339
663.309
393.812
hhld serial number 1 - 10?
66677
0
1
10
5.428
2.86
modue ID code
66677
0
1
29
3.809
2.575
hhld member ID reporting
64897
1780
0
22
1.771
1.201
sick or injured 4 weeks ago
64898
1779
1
9
1
yes
17403
2
no
47472
9
Not Stated
23
sickness/injury work related
17424
49253
1
9
1
yes
875
2
no
14819
9
Not Stated
1730
sort of sickness/injury - 1
17395
49282
1
30
1
fever, malaria
7401
2
diarrhea
506
3
stomach ache
912
4
vomiting
113
5
upper respiratory(sinuses)
238
6
lower respiratory (chest, lungs)
837
7
flu
2428
8
asthma
198
9
headache
1002
10
skin problem
233
11
dental problem
250
12
eye problem
275
13
ear/nose/throat
218
14
backache
366
15
heart problem
52
16
blood pressure
100
17
pain when passing urine
11
18
diabetes
45
19
mental disorder
55
20
tb
47
21
sexually transmitted disease
7
22
burn
29
23
fracture
124
24
wound
369
25
poisoning
3
26
pregnancy related
62
27
unspecified long-term illness
130
28
hiv/aids
11
29
typhoid
183
30
other
1190
sort of sickness/injury - 2
3589
63088
1
30
1
fever, malaria
434
2
diarrhea
167
3
stomach ache
326
4
vomiting
156
5
upper respiratory(sinuses)
67
6
lower respiratory (chest, lungs)
314
7
flu
509
8
asthma
26
9
headache
511
10
skin problem
58
11
dental problem
36
12
eye problem
96
13
ear/nose/throat
63
14
backache
136
15
heart problem
16
16
blood pressure
24
17
pain when passing urine
3
18
diabetes
10
19
mental disorder
2
20
tb
6
21
sexually transmitted disease
0
22
burn
8
23
fracture
7
24
wound
58
25
poisoning
0
26
pregnancy related
7
27
unspecified long-term illness
29
28
hiv/aids
3
29
typhoid
116
30
other
401
who diagnosed
17426
49251
1
9
1
medical worker at hospital
4113
2
medical worker at other facility
3930
3
traditional healer
46
4
non-hh member (not medical)
92
5
hh member
2817
6
self
6281
7
herbalist
66
8
faith healer
8
9
others
73
days missed work/school
17424
49253
0
99
99
n/a
3122
consult health provider
17426
49251
0
2
1
yes
12190
2
no
5204
kind of health provider - 1
12166
54511
1
13
1
referal hospital
239
2
district/provincial/hospital
2047
3
public dispensary
2414
4
public health center
1638
5
private dispensary/ hospital
1290
6
private clinic
1219
7
traditional healer
27
8
missionary hosp./disp
445
9
pharmacy/chemist
1571
10
kiosk
1039
11
faith healer
15
12
herbalist
151
13
other
71
kind of health provider - 2
1321
65356
1
13
1
referal hospital
60
2
district/provincial/hospital
217
3
public dispensary
256
4
public health center
172
5
private dispensary/ hospital
145
6
private clinic
110
7
traditional healer
8
8
missionary hosp./disp
46
9
pharmacy/chemist
129
10
kiosk
119
11
faith healer
7
12
herbalist
38
13
other
14
how many times
12222
54455
0
99
2.203
4.806
other reason for health provider
64902
1775
0
2
1
yes
1620
2
no
63261
other kind of health provider - 1
1604
65073
1
13
1
referal hospital
47
2
district/provincial/hospital
487
3
public dispensary
319
4
public health center
245
5
private dispensary/ hospital
155
6
private clinic
175
7
traditional healer
2
8
missionary hosp./disp
75
9
pharmacy/chemist
43
10
kiosk
32
11
faith healer
2
12
herbalist
11
13
other
11
other kind of health provider - 2
89
66588
1
13
1
referal hospital
8
2
district/provincial/hospital
39
3
public dispensary
3
4
public health center
7
5
private dispensary/ hospital
1
6
private clinic
6
7
traditional healer
0
8
missionary hosp./disp
6
9
pharmacy/chemist
11
10
kiosk
6
11
faith healer
0
12
herbalist
1
13
other
1
hospitallized 12 mons ago
64902
1775
0
2
1
yes
2272
2
no
62608
borrow money to pay health provider
2294
64383
0
2
1
yes
900
2
no
1372
sell assets to pay health provider
2294
64383
0
2
1
yes
688
2
no
1584
overnite at a traditional healer
64902
1775
0
2
1
yes
313
2
no
64569
borrow money to pay traditional healer
333
66344
0
2
1
yes
86
2
no
227
sell assets to pay traditional healer
333
66344
0
2
1
yes
86
2
no
227
physically handicapped
64902
1775
0
2
1
yes
777
2
no
64106
handicap work related
796
65881
0
2
1
yes
66
2
no
711
compensated for handicap
85
66592
0
2
1
yes
9
2
no
57
type of compensation
28
66649
0
4
1
workman compensation
5
2
own insurance cover
2
3
other compensation
0
4
employer arrangement
2
amount compensated
28
66649
0
75000
11214.286
22725.996
how handicapped - 1
796
65881
0
9
1
missing hand
17
2
missing foot
17
3
lame
190
4
blind
57
5
deaf
50
6
unable to speak (dumb)
32
7
mentally disabled
109
8
paralysis
75
9
other
229
how handicapped - 2
739
65938
0
9
1
missing hand
2
2
missing foot
1
3
lame
9
4
blind
4
5
deaf
7
6
unable to speak (dumb)
27
7
mentally disabled
14
8
paralysis
9
9
other
14
how handicapped - 3
736
65941
0
7
1
missing hand
0
2
missing foot
4
3
lame
4
4
blind
0
5
deaf
1
6
unable to speak (dumb)
4
7
mentally disabled
3
8
paralysis
0
9
other
0
easy to sweep floor
64892
1785
1
9
1
easily
54439
2
with difficulty
3415
3
not at all
1473
9
Not Stated
5565
easy to walk 2 km
64892
1785
1
9
1
easily
54013
2
with difficulty
3795
3
not at all
1517
9
Not Sated
5567
cronic illness
64892
1785
0
2
1
yes
4262
2
no
60606
type of chronic - 1
4261
62416
1
98
1
chronic malaria/fever
329
2
tuberculosis
138
3
hiv/aids
24
4
stds
7
5
diabetes
182
6
asthma
573
7
bilharzia/schistosomiasis
16
8
arthritis/rheumatism
176
9
nerve disorder
101
10
stomach disorder
409
11
sores that do not heal
83
12
cancer.
38
13
pneumonia
244
14
high blood pressure
302
15
other
1471
98
do not know
168
type of chronic - 2
301
66376
1
98
1
chronic malaria/fever
25
2
tuberculosis
16
3
hiv/aids
3
4
stds
2
5
diabetes
14
6
asthma
8
7
bilharzia/schistosomiasis
0
8
arthritis/rheumatism
16
9
nerve disorder
15
10
stomach disorder
22
11
sores that do not heal
4
12
cancer.
2
13
pneumonia
15
14
high blood pressure
48
15
other
101
98
do not know
10
yy suffered from chronic
4062
62615
1
98
98
do not know
104
99
not stated
0
mm suffered from chronic
1203
65474
1
99
98
do not know
87
99
not stated
27
who diagnosed chronic
4285
62392
0
9
1
medical worker at hospital
2655
2
medical worker at other facility
861
3
traditional healer
43
4
non-hh member (not medical)
26
5
hh member
129
6
self
467
7
herbalist
59
8
faith healer
10
9
others
8
sleep under bed net last night
64895
1782
0
2
1
yes
20107
2
no
44759
bed net treated past 6 mons
20143
46534
0
8
1
yes
13700
2
no
6318
3
dk
4
53311
0
1
1339
665.708
394.504
Serialised HH number
53311
0
1
10
5.419
2.861
HH member number
53311
0
1
27
3.736
2.555
filter question
18115
35196
0
2
1
females < 12 years
0
2
females >= 12 years
18109
ever given birth
18115
35196
0
2
1
yes
10006
2
no
8088
male children born alive
18115
35196
0
22
1.052
1.52
female children born alive
18115
35196
0
77
1.05
1.656
male children born alive in hhld
18115
35196
0
32
0.828
1.275
female children born alive in hhld
18115
35196
0
20
0.781
1.211
male children born alive elsewhere
18115
35196
0
20
0.141
0.559
female children born alive elsewhere
18115
35196
0
22
0.178
0.622
male children born alive & died
10006
43305
0
9
0.197
0.567
female children born alive & died
10007
43304
0
90
0.185
1.059
mm of last born
9989
43322
1
99
12.086
22.521
yy of last born
9985
43326
1944
2006
2000.411
5.317
sex of last born
9985
43326
1
6
1
male
5151
2
female
4700
3
male twins
39
4
female twins
34
5
multiple births
3
6
male-female twin
58
child still alive
9984
43327
1
4
1
yes
9608
2
no
356
3
one of the twins
14
4
two of the multiple births
6
5
one of the multiple births
0
8
dont know
0
12986
0
1
1339
668.054
385.375
hhld serial number 1 - 10?
12986
0
1
10
5.449
2.863
modue ID code
12986
0
1
13
1.02
0.224
12986
0
1
2
1.904
0.294
1244
11742
0
2
1.423
0.499
1244
11742
0
99
37.278
33.91
1244
11742
0
99
6.191
21.711
1244
11742
0
17
9.102
6.35
1244
11742
0
3
1.494
0.578
12986
0
1
1
1
0
Serialized Cluster Number
62256
0
1
1339
660.986
393.728
hhld serial number 1 - 10?
62256
0
1
10
5.422
2.859
modue ID code
62256
0
1
28
3.723
2.546
filter question
61799
457
1
2
1
< 5 years
7077
2
>= 5 years
54722
Mainly doing 7 days ago
54689
7567
1
99
1
worked for pay
6679
2
on leave
175
3
sick leave
68
4
worked on own/family business
4110
5
worked on own/family agri.holding
10296
6
seeking work
1145
7
doing nothing
5878
8
retired
324
9
homemaker
5212
10
full-time student
20010
11
in capacitated
341
12
other
450
Employment Status
22269
39987
1
9
1
Paid Employee
6593
2
Working Employer
483
3
Own account worker
7819
4
Unpaid Family Worker
6541
5
Apprentice
73
6
Other
247
9
Not Stated
513
Hours employed 7 days ago
21821
40435
0
112
16.962
26.002
Hours worked on hhld farm 7 days ago
21821
40435
0
112
17.561
20.381
Hours worked on hhld enterprise 7 days ago
21821
40435
0
112
7.661
19.348
filter question
21740
40516
1
2
1
yes
21298
2
no
442
Activity to return to
12992
49264
1
2
1
yes
2569
2
no
10423
Reason for not working last 7 days
10421
51835
1
10
1
sick
612
2
retired
228
3
looking for work
2576
4
out of season
523
5
retrenchment/redundancy
55
6
temporary lay off
142
7
dont need work
1128
8
business closed
155
9
too young/too old
2776
10
others
2226
Whether looked for work
10419
51837
1
2
1
yes
2489
2
no
7930
Whether willing to acept job
10416
51840
1
2
1
yes
5026
2
no
5390
Number of icome activities
21787
40469
1
99
1
yes
19841
2
no
1869
Whether employed 12 months ago
30766
31490
1
2
1
yes
408
2
no
30358
KNOCS codes
24082
38174
1
934
0
armed forces
0
1
armed forces
8
11
armed forces
38
100
legislators, administrators and managers
0
110
legislators and constitutional officials
0
111
legislative and constitutional officials
5
112
local authority officials
26
120
administrators and senior officials of special interest orga
0
121
government administrators
47
122
senior officials of special interest organizations
10
130
corporate managers
0
131
directors and chief executives
65
132
specialized departmental managers
32
133
133 other departmental managers
24
140
non-departmental managers
3
141
non-departmental managers
113
150
other administrators and managers
0
151
other administrators and managers
78
200
professionals
0
210
physical science professionals
0
211
physicists and related professionals
0
212
chemists
5
220
mathematicians, statisticians and computing professionals
0
221
mathematicians and related professionals
3
222
statisticians
1
223
computing professionals
16
230
engineering science professionals
0
231
architects and town planners
9
232
surveyors and cartographers
11
233
civil engineers
6
234
mechanical engineers
8
235
chemical engineers and technologists
0
236
mining engineers, metallurgists and related technologists
0
237
electrical, electronics and telecommunications engineers
11
238
production and related engineers
5
240
health and life science professionals
0
241
health professionals
33
242
nursing and mid-wifely professionals
48
243
life science professionals
2
244
agriculturalists and related professionals
16
250
teaching professionals
4
251
university and post-secondary teachers/lecturers
23
252
secondary and technical institute teachers and instructors
143
253
special education teaching professionals
12
254
education methods advisers and assessors
11
259
other teaching professionals
99
260
legal professionals
0
261
lawyers
15
262
jurists/judges
1
270
social science and related professionals
0
271
economists
0
272
psychologists
0
273
sociologists, anthropologists and related professionals
3
274
historians and political scientists
2
275
philologists, translators and interpreters
1
279
other social science and related professionals
22
280
business professionals
0
281
accountants, auditors and tax assessors
98
282
personnel and occupational professionals
9
289
other business professionals
56
290
other professionals
0
291
archivists, librarians, and related professionals
5
292
religious professionals
36
293
authors, journalists and related professionals
5
294
sculptors, painters and related professionals
9
295
composers, musicians and singers
2
296
choreographers
1
300
technicians and associate professionals
0
310
engineering technicians
0
311
technical draughts-men
4
312
civil engineering and related technicians
7
313
mechanical engineering and related technicians
52
314
mining and metallurgical technicians
3
315
electrical engineering technicians
49
316
electronics and telecommunications engineering technicians
28
317
chemical engineering technicians
5
318
photographers, image and sound recording equipment controlle
6
319
broadcasting and telecommunications equipment controllers
5
320
medical and health science associate professionals
2
321
auxiliary nurses
25
322
medical/clinical officers
22
323
sanitarians
4
324
optometrists and opticians
1
325
dental technicians
2
326
physiotherapists and related associate professionals
1
327
veterinary officers
17
328
pharmaceutical officers
17
329
other associate medical, nursing and nutrition workers
42
330
physical and life science technicians
0
331
physical science technicians
5
332
life science technicians
5
333
agronomy and forestry technicians
4
334
farming and forestry advisors
7
340
farming advisors
0
341
ships engineer
0
342
ships deck officers and pilots
0
343
aircraft pilots and related workers
2
344
air traffic controller
0
350
business and social services associate professionals
1
351
securities and finance dealers
2
352
insurance brokers and agents
13
353
real estate agents
14
354
business service agents
36
355
buyers, appraisers auctioneers
27
360
administration and middle level personnel
1
361
police inspectors, detectives, customs and border officials
70
362
government tax and excise officials
2
363
welfare and pension officials
4
364
government licensing officials
4
365
business and public service middle level personnel
10
366
statistical and planning officials
2
367
fisheries, wildlife and tourist officials
6
368
lands, agricultural and livestock officials
19
369
other middle level personnel
33
370
primary and pre-primary education and other teachers
0
371
primary education teachers
397
372
pre-primary education teachers
66
373
other teachers and instructors
36
390
other business, social services, athletics, sports and relat
1
391
non-ordained religion assistants
15
392
social advisers and helpers
12
393
athletes, sportsmen and related workers
10
394
decorators and other commercial workers
3
395
radio, television and other announcers
1
396
street, nightclub and related musicians
2
397
acrobats, clowns, magicians and related workers
3
398
safety, health and quality inspector /controllers
6
399
mechanical, electrical, building and fire inspectors
7
400
secretarial, clerical services and related workers
0
410
secretaries and office clerks
0
411
secretaries stenographers and typists
141
412
office machine operators
17
413
numerical clerks
27
414
material recording and transport clerks
24
415
library, mail and related clerks
13
416
coding, proofreading and related clerks
6
417
general office clerks
79
420
client oriented clerks
1
421
cashiers, tellers and related clerks
20
422
information clerks
16
423
other client oriented clerks
28
500
service workers, shop and market sales workers
0
510
models, shop assistants and demonstrators
82
511
fashion and other models
14
512
shop assistants and demonstrators
442
520
personal and protective service workers
0
521
hairdressers, barbers, beauticians and related workers
167
522
undertakers and embalmers
1
523
fortune tellers, astrologers and related workers
13
524
protective service workers
69
530
house stewards, caterers, waiters and related workers
8
531
house stewards and housekeepers
153
532
cooks and other catering service workers
281
533
waiters bartenders
143
540
travel attendants and guides
0
541
ship and flight attendants and travel stewards
2
542
transport conductors
83
543
travel guides and ground attendants
13
600
skilled farm, fishery, wildlife and related workers
1
611
field crop, vegetable and horticultural farm workers
693
612
poultry, dairy and livestock producers
936
613
crop and animal producers
5095
620
fishery and related workers
0
621
fishery workers
59
630
subsistence agricultural and fishery workers
16
631
subsistence agricultural and fishery workers
4899
640
forestry and related workers
2
641
forestry and related workers
139
650
hunting and wildlife workers
0
651
hunting and wildlife workers
1
700
craft and related trades workers
0
710
extraction and building trades workers
1
711
mining, blasting, stone cutting and related workers
70
712
building trades workers
96
720
metal, machinery and related trades workers
0
721
metal molders, welders, structural-metal preparers and relat
76
722
blacksmiths, toolmakers and related trades workers
16
723
machinery mechanics and fitters
78
724
electrical equipment fitters and installers
8
725
electrical equipment fitters and services
10
726
electrical linesmen and cable jointers
4
727
solar equipment fitters and installers
0
730
precision and handicraft workers
1
731
precision workers in metal and related materials
6
732
potters, glassmakers and related trades workers
11
733
handicraft workers
67
740
printing and related trades workers
1
741
compositors and typesetters
5
742
stereotypers and electrotypers
0
743
printing engravers and etchers
3
744
photographic and related workers
16
745
bookbinders and related workers
9
746
silk-screen, block and textile printers
0
750
food processing and related trades
0
751
butchers, fishmongers and related food preparers
166
752
bakers, pastry-cooks and confectionery makers
37
753
dairy products makers
7
754
fruit, nut and related preservers
23
755
tobacco preparers and tobacco products makers
15
756
food and beverage tasters
6
757
brewers, distillers and related workers
58
758
other food processing and related workers
87
760
woodworking trades workers
2
761
wood treating, cabinetmaking and related trades workers
106
762
woodworking-machine setters and setter-operators
13
770
textile, garment and related trades
2
771
fibre prepapers
8
772
weavers, knitters and related workers
45
773
tailors, dressmakers and related workers
275
780
upholsterers, pelt, leather and shoemaking trades workers
0
781
upholsters
3
782
fell mongers, tanners and pelt dressers
1
783
shoe-making and related trades workers
25
800
plant and machine operators and assemblers
0
810
farm workers (except fish)
0
811
well drillers and borers
5
812
mining plant operators
0
813
stone, clay, cement and other mineral products machine opera
5
820
metal processing plant and metal working machine operators
0
821
metal smelting, converting and refining furnace operators
1
822
metal melters, casters and rolling mill operators
4
823
metal heat-treating plant operators, metal drawers and extru
0
824
machine -tool and other metal-working machine operators
11
825
metal finishing, plating and coating machine operators
2
830
wood processing plant and wood, rubbers and plastic machine
0
831
wood processing and paper pulp plant operators
4
832
wood products machine operators
22
833
printing and binding machine operators
0
834
paper products machine operators
4
835
rubber and plastic rubber machine operators
9
840
chemical-processing plant and chemical products machine oper
0
841
chemical crushing, grinding and mixing machine operators
5
842
chemical heat-treating and plant operators
1
843
filtering and separation equipment operators
0
844
chemical still and reactor operators
0
845
petroleum refining plant operators
0
846
pharmaceutical and toiletry products machine operators
1
849
other chemical processing plant and machinery operators
2
850
power production plant operators
0
851
power generating plant operators
2
852
steam turbine boiler and engine operators
5
860
food and related products machine operators
0
861
meat and fish processing machine operators
1
862
dairy products and machine operators
1
863
grain and spice-milling machine operators
36
864
baked goods, cereal and chocolate products machine operators
5
865
fruit, vegetable and nut processing machine operators
3
866
sugar production machine operators
4
867
tea, coffee and cocoa processing machine operators
5
868
brewers, wine and other beverage machine operators
2
869
tobacco production machine operators
0
870
assemblers
0
871
mechanical machinery assemblers
20
872
electrical and electronic machinery assemblers
7
873
metal products assemblers
8
874
plastic and rubber products assemblers
5
875
wood, paperboard and related products assemblers
31
876
textile and leather products assemblers
3
880
drivers and mobile machinery operators
5
881
railway engine drivers and related workers
2
882
motor vehicle drivers
267
883
agricultural and materials-handling machinery operators
10
884
ships deck crews and related workers
5
890
other plant and machine operators and assemblers
0
891
glass and ceramics kiln and related plant operators
1
892
textile preparing, spinning and winding machine operators
7
893
weaving, knitting and sewing machine operators
24
894
textile bleaching, dyeing and cleaning machine operators
3
895
fur and leather preparing machine operators
0
896
shoemaking and related machine operators
3
899
plant and machine operators and assemblers not elsewhere cla
21
900
elementary occupations
0
910
sales and services elementary occupations
24
911
street vendors and related workers
1014
912
shoe cleaning and other street services elementary occupatio
59
913
cleaners, launderers and domestic workers
715
914
building caretakers
32
915
messengers, porters, watchmen and related workers
311
916
other sales and service labourers
1071
920
agricultural, fishery and related labourers
3
921
farm- hands and related labourers
2146
922
forestry labourers
25
923
fishery, hunting and trapping laboures
94
930
labourers in mining, construction, manufacturing and transpo
2
931
mining and quarrying labourers
119
932
construction and maintenance labourers
349
933
manufacturing labourers
46
934
transport labourers and freight handlers
171
ISIC REV 2 codes
23846
38410
1
9600
1111
coffee plantations
33
1112
tea plantations
241
1113
sugar plantations
51
1114
sisal plantations
11
1115
mixed farming
10036
1116
ranches
89
1117
other agricultural activities nec
2324
1119
processing co-operatives of small farms
7
1120
agricultural services
756
1130
hunting, trapping and game propagation
1
1211
forestry
41
1212
charcoal burning
191
1220
logging
28
1301
ocean and coastal fishing
27
1302
inland water fishing
128
2901
stone quarrying, clay and sand pits
92
2902
chemical and fertilizer mineral mining
2
2909
mining and quarrying nec
41
3111
slaughtering, preparing and preserving of meat
16
3112
manufacture of dairy products
4
3113
canning and preserving of fruits and vegetables
7
3114
canning, preserving and processing of fish
5
3115
manufacture of vegetable and animal oils and fats
3
3116
grain mill products
38
3117
manufacture of bakery products
23
3118
sugar factories and refineries
48
3119
7
3121
manufacture of food products nec
42
3122
manufacture of prepared animal feeds
3
3131
spirits, beer and tobacco
37
3134
soft drinks and carbonated waters industries
5
3210
cotton ginneries
1
3211
spinning, weaving and finishing textiles
70
3212
manufacture of made-up textile goods except wearing appar
14
3213
knitting mills
2
3215
cordage, rope and twine industries
21
3219
manufacture of textiles nec
31
3220
manufacture of wearing apparel, except footwear
45
3231
tanneries and leather finishing
1
3233
manufacture of products of leather, except footwear and w
0
3240
manufacture of footwear, except plastic footwear
11
3311
sawmills, planing and other woodmills
14
3312
manufacture of wooden and cane containers
6
3319
manufacture of wood and cork products nec
28
3320
manufacture of furniture and fixtures, except primarily o
98
3411
manufacture of pulp, paper and paperboard
16
3419
manufacture of pulp, paper and paperboard articles nec
2
3420
printing, publishing and allied industries
12
3511
0
3512
pyrethrum extraction
0
3521
manufacture of paints, varnishes and lacquers
2
3522
manufacture of drugs and medicines
4
3523
4
3529
manufacture of chemical products nec
4
3530
petroleum refineries
0
3550
manufacture of rubber products
13
3560
manufacture of plastic products
13
3610
manufacture of pottery, china and earthenware
7
3620
manufacture of glass and glass products
2
3691
manufacture of structural clay products
9
3692
manufacture of cement, lime and plaster
0
3699
manufacture of non-metallic mineral products nec
4
3700
basic metal industries
10
3811
manufacture of cutlery, hand tools and general hardware
4
3812
manufacture of furniture and fixtures, primarily of metal
13
3813
manufacture of structural metal products
19
3819
manufacture of fabricated metal products, except machiner
6
3820
manufacture of machinery except electrical
0
3830
manufacture of electrical machinery and appliances
3
3841
ship building and repairing
2
3842
manufacture of railroad equipment
0
3843
manufacture and assembly of motor vehicles
8
3844
manufacture and assembly of motorcycles and bicycles
1
3845
manufacture and repair of aircraft
0
3850
manufacture of professional and scientific equipment phot
0
3900
other manufacturing industries
26
4101
electric light and power
37
4200
water works and supply
25
5101
electrical contractors
18
5102
plumbers
22
5103
structural steel erectors
5
5104
painters, roof-tilers and minor repairs
28
5105
borehole drilling
4
5201
construction of buildings
382
5202
all other construction
103
6001
motor vehicles
16
6002
non-electric machinery and appliances
8
6003
electrical machinery and appliances
20
6110
food, drink and tobacco
56
6111
agricultural produce
152
6112
oil and petrol
10
6113
textiles, soft furnishings, clothing and shoes
77
6114
building materials, hardware and timber
19
6115
domestic hardware
3
6116
photographic and pharmaceutical goods
16
6117
engineering products, scrap, industrial and agricultural
23
6118
general wholesale
74
6119
wholesale nec
35
6211
food, drink and tobacco
657
6212
butcheries
100
6213
oil and petrol
24
6214
textiles, soft furnishings, clothing and shoes
400
6215
building materials, timber, and domestic hardware
54
6216
photographic and pharmaceutical goods
18
6217
general retail trade
544
6218
retail nec
785
6310
restaurants, cafes and other eating and drinking places
385
6320
hotels, rooming houses, camps and other lodging places
113
7110
kr central administration
3
7111
railway transport
5
7112
urban, sub-urban and inter-urban highway passenger transp
147
7113
other passenger land transport
208
7114
freight transport by road
65
7115
pipeline transport
10
7116
supporting services to land transport
111
7121
ocean and coastal water transport
8
7122
inland water transport
3
7123
supporting services to water transport
11
7131
air transport carriers including aircraft rental
5
7132
supporting services to air transport
5
7190
booking and travel agencies
10
7191
services incidental to transport nec
57
7192
storage and warehousing
13
7200
communications
95
7201
kp & t administrative services
13
8101
monetary institutions
14
8102
other financial institutions, except holding companies
8
8103
financial services
25
8104
holding companies
0
8201
insurance companies
13
8202
other insurance
6
8311
property companies
10
8312
house and estate agents
19
8321
legal services
20
8322
accounting, auditing and book-keeping services
58
8323
data processing and tabulating services
26
8324
engineering, architectural and technical services
26
8325
advertising services
11
8329
69
8330
machinery and equipment rental and leasing
2
9101
government services
190
9102
law and order
143
9103
defence
52
9104
other public administration
69
9310
education services
910
9320
research and scientific institutes
30
9331
medical, dental and other health services
208
9332
veterinary services
23
9340
welfare institutions
25
9350
business, professional and labour associations
39
9391
religious organisatons
78
9399
social and related community services nec
143
9410
motion pictures and other entertainment services
24
9420
libraries, museums, botanical and zoological gardens and
13
9490
pleasure boat hire
0
9491
other amusement and recreational services nec
28
9511
repair of footwear and other leather goods
32
9512
electrical repair shops
37
9513
repair of motor vehicles and motorcycles
98
9514
watch, clock and jewellry repair
5
9519
other repair shops nec
69
9520
laundries, laundry services and cleaning and dyeing plant
62
9530
domestic services
1006
9591
barber and beauty shops
166
9592
photographic studios including commercial photography
15
9593
hunting and tourist guide services
14
9599
personal services nec
188
9600
international and other extra-territorial bodies
21
Employment Status
24821
37435
1
15
1
Private sector Company
1315
2
Individual
5990
3
Local Authority
223
4
Central Government
619
5
T.S.C
445
6
Majority Control by GOK
95
7
International Orgs
59
8
State owned Enterprise
161
9
NGOs
116
10
Other
15236
15
Not Stated
562
Completed months worked 12 months ago
24373
37883
0
12
9.456
3.606
Hours per day worked
24373
37883
0
18
6.867
2.835
Payment for wages/salary
24373
37883
0
600000
3290.755
16064.191
House allowance
24373
37883
0
100000
342.645
2381.858
Medical allowance
24373
37883
0
290000
143.784
2696.385
Other allowances
24373
37883
0
200000
254.318
3510.253
Engage in casual labour
30357
31899
1
2
1
yes
1143
2
no
29214
Total days in casual labour
1144
61112
0
90
25.079
24.548
Average daily allowance
1144
61112
0
27000
478.857
1616.179
Whether a member of trade union or welfare association
25374
36882
1
2
1
yes
1766
2
no
23608
District of work
25239
37017
1
941
101
nairobi
1268
201
kiambu
399
202
kirinyaga
368
203
muranga
325
204
nyandarua
470
205
nyeri
548
206
thika
426
207
maragua
323
301
kilifi
276
302
kwale
366
303
lamu
232
304
mombasa
412
305
taita taveta
266
306
tana river
287
307
malindi
346
401
embu
380
402
isiolo
324
403
kitui
393
404
makueni
471
405
machakos
468
406
marsabit
148
407
mbeere
385
408
meru central
159
409
moyale
279
410
mwingi
428
411
meru north
221
412
tharaka
365
413
nithi
357
501
garissa
150
502
mandera
127
503
wajir
154
601
gucha
322
602
homa bay
275
603
kisii central
307
604
kisumu
361
605
kuria
305
606
migori
320
607
north kisii
376
608
rachuonyo
301
609
siaya
348
610
suba
257
611
bondo
312
612
nyando
289
701
baringo
422
702
bomet
335
703
keiyo
302
704
kajiado
313
705
kericho
345
706
koibatek
315
707
laikipia
294
708
marakwet
246
709
nakuru
599
710
nandi
401
711
narok
328
712
samburu
130
713
trans mara
334
714
trans nzoia
409
715
turkana
2
716
uasin gishu
408
717
west pokot
378
718
buret
416
801
bungoma
556
802
busia
306
803
mt elgon
429
804
kakamega
351
805
lugari
380
806
teso
317
807
vihiga
383
808
butere/mumias
343
Travel to and from work
25348
36908
1
8
1
walk
20716
2
bicycle
950
3
matatu
1307
4
bus
36
5
commuter train
23
6
employer provided
180
7
private vehicle
413
8
other
1723
Minutes taken to travel - peak
25517
36739
0
240
18.457
29.086
Minutes taken to travel - off peak
25517
36739
0
240
17.479
28.088
Total domestic servants
54731
7525
0
35
0.0287
0.285
Cluster weight
62256
0
11.1
3922.6
533.904
442.579
51485
0
1
1339
666.275
394.626
hhld serial number 1 - 10
51485
0
1
10
5.415
2.858
modue ID code
51485
0
1
29
3.864
2.596
filter question
50894
591
0
2
1
> 60 months
41313
2
<= 60 months
9565
where delivered
9490
41995
0
9
1
hospital
2856
2
health centre
631
3
clinic/ dispensary
246
4
147
5
at home
5464
6
other
101
who assisted
9464
42021
0
7
1
doctor
1009
2
midwife/nurse
2865
3
tba
3078
4
ttba
1079
5
self
642
6
other
727
7
dk
48
ever breastfed
9461
42024
0
8
1
yes
9380
2
no
50
8
DK
15
still breast-feeding
9393
42092
0
2
1
yes
3338
2
no
6039
how long breastfed
9079
42406
0
99
98
DK
97
total months exclusively breastfed
8120
43365
0
99
3.753
6.262
what first supplement
9453
42032
0
8
1
milk other than breast
3170
2
commercial infant
234
3
food/formula
2936
4
porridge
760
5
fortified porridge
613
6
semi-solids
1148
7
water
202
8
other
374
participated in community programs
9451
42034
0
2
1
yes
1407
2
no
8028
participated in the growth monitoring clinic
9454
42031
0
2
1
yes
8285
2
no
1153
had diarrhoea 2 weeks ago
9454
42031
0
2
1
yes
1094
2
no
8344
type of fluid/food - 1
1117
50368
0
5
1
nothing
330
2
commercial infant/food/formula/yogurt
73
3
other semi-solid food
526
4
fruits
92
5
other
80
type of fluid/food - 2
1113
50372
0
6
1
nothing
96
2
breastmilk
126
3
porridge (uji)
491
4
water alone
149
5
milk other than/breastmilk
165
6
other
70
quantity of food given vs normal times
1101
50384
0
5
1
much less
355
2
somewhat less
216
3
about the same
360
4
more
96
5
dk
58
quantity of fluid given vs normal times
1100
50385
0
5
1
much less
195
2
somewhat less
212
3
about the same
346
4
more
305
5
dk
26
given ORS/ORT
1108
50377
0
2
1
yes
492
2
no
600
vaccination card
9449
42036
0
3
1
yes, seen
5156
2
yes, not seen
3404
3
no
873
date of BCG
5066
46419
0
98
16.075
9.387
month of BCG
5016
46469
0
98
6.455
4.284
year of BCG
5063
46422
0
9998
2074.158
791.431
date of OVP (POLIO-B)
4290
47195
0
98
18.043
13.616
month of OVP (POLIO-B)
4057
47428
0
98
7.498
10.371
year of OVP (POLIO-B)
4472
47013
0
9998
2705.616
2279.544
date of OVP1 (POLIO-1)
4928
46557
0
98
16.007
10.066
month of OVP1 (POLIO-1)
4857
46628
0
98
6.724
5.363
year of OVP1 (POLIO-1)
4955
46530
0
9998
2154.797
1119.99
date of OVP2 (POLIO-2)
4705
46780
0
98
16.432
10.861
month of OVP2 (POLIO-2)
4590
46895
0
98
6.812
6.404
year of OVP2 (POLIO-2)
4788
46697
0
9998
2310.42
1558.595
date of OVP3 (POLIO-3)
4324
47161
0
98
17.297
12.521
month of OVP3 (POLIO-3)
4131
47354
0
98
7.268
9.061
year of OVP3 (POLIO-3)
4487
46998
0
9998
2621.52
2152.436
date of DPT1 or DPT/HepB/Hib1
4863
46622
0
98
16.205
10.341
month of DPT1 or DPT/HepB/Hib1
4776
46709
0
98
6.807
6.012
year of DPT1 or DPT/HepB/Hib1
4903
46582
0
9998
2203.667
1276.264
date of DPT2 or DPT/HepB/Hib2
4716
46769
0
98
16.367
10.748
month of DPT2 or DPT/HepB/Hib2
4615
46870
0
98
6.841
6.796
year of DPT2 or DPT/HepB/Hib2
4800
46685
0
9998
2301.32
1536.823
date of DPT3 or DPT/HepB/Hib3
4419
47066
0
98
16.898
12.069
month of DPT3 or DPT/HepB/Hib3
4270
47215
0
98
7.136
8.72
year of DPT3 or DPT/HepB/Hib3
4599
46886
0
9998
2561.247
2054.339
date of MEASLES
3731
47754
0
98
19.399
15.62
month of MEASLES
3419
48066
0
98
8.089
13.078
year of MEASLES
4097
47388
0
9998
3297.166
2957.913
vaccination to prevent childhood diseases
4302
47183
0
8
1
yes
3665
2
no
558
3
DK
8
BCG vaccine against TB
3680
47805
0
8
1
yes
3527
2
no
110
8
DK
27
vaccination drops in mouth
3678
47807
0
8
1
yes
3575
2
no
75
3
DK
0
age POLIO dose given
3589
47896
0
8
1
less than six weeks
2740
2
six weeks or more
719
8
DK
114
times POLIO drops given
3516
47969
0
98
2.9
3.028
vaccination on thigh
3675
47810
0
8
1
yes
3414
2
no
226
3
DK
0
times DPT doses given
3419
48066
0
98
2.747
2.494
vaccination on upper arm
3675
47810
0
8
1
yes
3116
2
no
497
8
DK
46
BCG scar
9401
42084
0
2
1
yes
8033
2
no
1352
filter question
9415
42070
0
2
1
less than 6 months
760
2
more than 6 months
8639
weight in kgs
7871
43614
0
99.6
12.525
6.757
height/length
8213
43272
0
2
1
standing
6926
2
lying down
1271
height < 100 cm
7825
43660
0
989
87.604
42.669
why not measured
707
50778
0
4
1
not home during survey period
457
2
too ill
42
3
unwilling
93
4
other
99
51485
0
11.1
3922.6
543.077
451.194
51485
0
1
1
1
0
13077
0
1
1339
667.676
386.184
hhld serial number 1 - 10
13077
0
1
1319
2
1325
3
1320
4
1317
5
1316
6
1314
7
1320
8
1310
9
1295
10
1241
HH tenure
13026
51
1
owner occupied
7998
2
owner occupied nomads
684
3
employer provided subsidized
101
4
employer provided free
400
5
rented
3443
6
free
400
Sysmiss
51
how HH acquired dwelling
8654
4423
1
372
2
purchased loan
85
3
constructed cash
7118
4
230
5
purchased cash & loan
33
6
constructed cash & loan
129
7
inherited
230
8
gift
282
9
bartered
75
10
100
Sysmiss
4423
HH monthly expenditure on housing loan
118
12959
3
108000
9765.458
17128.914
years HH built
8571
4506
0.1
1521
98
dk
83
if sold, how much worth
8518
4559
1
40000000
268610.366
1824476.488
from whom HH rent
12187
890
1
government
70
2
local authority
64
3
parastatal
32
4
company
75
5
individual
3236
7
na
8649
9
other
61
Sysmiss
890
rent per month
3501
9576
4
150000
2396.552
7718.185
if rented out, how much worth monthly
12786
291
1
6000000
2448.059
53680.245
number of dwelling units
13006
71
1
8206
2
3366
3
940
4
309
5
108
6
29
7
19
8
10
9
2
10
4
11
1
12
2
13
1
16
1
21
1
50
1
200
3
201
1
202
1
281
1
Sysmiss
71
total habitable rooms in main HH
13029
48
1
5178
2
3528
3
2538
4
1127
5
387
6
160
7
51
8
25
9
17
10
7
11
3
12
1
14
2
15
1
17
1
20
1
23
1
30
1
Sysmiss
48
total habitable rooms in other dwellings HH
4157
8920
1
2272
2
1092
3
435
4
195
5
77
6
36
7
13
8
5
9
13
11
5
12
5
13
1
15
2
20
1
21
1
25
1
32
1
41
1
58
1
Sysmiss
8920
total floor area in main HH
12711
366
0.8
80007
37
715.742
total floor area in other dwellings HH
4105
8972
0.6
1451
20.124
32.052
type of dwelling
12989
88
1
house/bungalow
7097
2
flat
468
3
maisonnett
151
4
swahili
1526
5
shanty
518
6
manyatta/traditional hse
2719
7
other
510
Sysmiss
88
walls
12990
87
1
stone
1827
2
brick/block
2207
3
mud/wood
5612
4
mud/cement
814
5
wood only
1241
6
corrugated iron sheet
419
7
grass/straw
572
8
tin
31
9
other
267
Sysmiss
87
roof
12990
87
1
corrugated iron sheet
9190
2
tiles
326
3
concrete
327
4
asbestos sheets
98
5
grass
2198
6
makuti
420
7
tin
43
8
other
388
Sysmiss
87
floor
12989
88
1
cement
5160
2
tiles
158
3
wood
209
4
earth
7425
5
other
37
Sysmiss
88
location of main kitchen
12991
86
1
outdoor
2241
2
enclosed detached
4113
3
enclosed attached
1520
4
indoor without partition
3818
5
indoor with partition
1208
6
other
91
Sysmiss
86
main type of cooking appliance
12989
88
1
traditional stone fire
7528
2
improved traditional stone fire
978
3
ordinary jiko
1303
4
improved jiko
1116
5
kerosene stove
1359
6
gas cooker
522
7
electric cooker
77
8
other
106
Sysmiss
88
kitchen have chimney
12988
89
1
yes
990
2
no
11998
Sysmiss
89
toilet within dwelling unit
12988
89
1
yes
1318
2
no
11670
Sysmiss
89
13077
0
11.1
3922.6
529.533
463.003
Serialised Cluster Number
12997
0
1
1339
666.56
386.036
Serialised HH Number
12997
0
1
1314
2
1320
3
1315
4
1319
5
1300
6
1305
7
1309
8
1301
9
1282
10
1232
main source of water for drinking
12989
8
1
piped into dwelling
1097
2
piped into plot/yard
1780
3
public tap
1339
4
tubewell/borehole with pump
827
5
protected dug well
911
6
protected spring
940
7
rain water collection
497
8
1614
9
river/ponds/streams
2687
10
tankers-truck/vendor
634
11
bottled water
8
12
other
655
Sysmiss
8
main source of water for bathing
12975
22
1
piped into dwelling
1102
2
piped into plot/yard
1782
3
public tap
1133
4
tubewell/borehole with pump
755
5
protected dug well
1113
6
protected spring
772
7
rain water collection
302
8
1771
9
river/ponds/streams
3000
10
tankers-truck/vendor
551
11
bottled water
1
12
other
693
Sysmiss
22
main source of water for cooking
12951
46
1
piped into dwelling
1109
2
piped into plot/yard
1771
3
public tap
1184
4
tubewell/borehole with pump
784
5
protected dug well
1070
6
protected spring
833
7
rain water collection
324
8
1765
9
river/ponds/streams
2847
10
tankers-truck/vendor
567
11
bottled water
2
12
other
695
Sysmiss
46
main source of water for livestock
8012
4985
1
piped into dwelling
237
2
piped into plot/yard
591
3
public tap
318
4
tubewell/borehole with pump
510
5
protected dug well
651
6
protected spring
444
7
rain water collection
162
8
1322
9
river/ponds/streams
2945
10
tankers-truck/vendor
160
11
bottled water
0
12
other
672
Sysmiss
4985
main source of water for other
9373
3624
1
piped into dwelling
810
2
piped into plot/yard
1261
3
public tap
728
4
tubewell/borehole with pump
543
5
protected dug well
762
6
protected spring
566
7
rain water collection
215
8
1351
9
river/ponds/streams
2182
10
tankers-truck/vendor
394
11
bottled water
0
12
other
561
Sysmiss
3624
time taken to get water for drinking
10193
2804
0.1
600
16.648
26.349
time taken to get water for bathing
10147
2850
0.1
445
15.976
24.863
time taken to get water for cooking
10133
2864
0.1
600
16.232
26.099
time taken to get water for livestock
6965
6032
0.2
600
20.196
29.282
time taken to get water for other
7320
5677
0.1
360
15.627
25.064
time taken to qeue to get water
6770
6227
1
720
21.565
44.057
use this source for drinking
12991
6
1
all year
9999
2
only dry season
1975
3
only rainy season
1016
4
1
Sysmiss
6
main source of water other season
2995
10002
1
piped into dwelling
45
2
piped into plot/yard
59
3
public tap
123
4
tubewell/borehole with pump
148
5
protected dug well
99
6
protected spring
91
7
rain water collection
1471
8
216
9
river/ponds/streams
624
10
tankers-truck/vendor
66
11
bottled water
0
12
other
53
Sysmiss
10002
how store water
12991
6
1
do not
404
2
bucket/jerry can
9860
3
drums
1478
4
container
650
5
water tank
599
6
other
0
Sysmiss
6
total cost of water for drinking
2096
10901
1
3600
104.533
193.046
total cost of water for bathing
1550
11447
1
1500
109.24
138.417
total cost of water for cooking
1616
11381
1
4500
100.35
179.403
total cost of water for others
1128
11869
1
2000
101.989
162.316
total cost of water
4497
8500
1
15000
367.456
659.408
cost of 20 litre jercan per month
4423
8574
1
999
116.793
117.017
number of 20 litre jercan per day
12797
200
1
99
4.183
3.839
cost of 1 jerican
7329
5668
1
500
7.066
16.21
HH members use same toilet
12987
10
1
yes
10667
2
no
2320
Sysmiss
10
main toilet facility
12997
0
1
flush toilet
1391
2
vip latrine
853
3
uncovered pit latrine
3937
4
covered pit latrine
4224
5
Bucket
43
6
None
2451
7
Other
98
depth of latrine
9082
3915
1
shallow
3864
2
deep
5218
Sysmiss
3915
who use toilet facility
10468
2529
1
HH members only
4826
2
2 HH
1366
3
3 HH
816
4
4 or more
3460
Sysmiss
2529
who built/paid for latrine
10467
2530
1
household built
5873
2
landlord
3435
3
neighbor
497
4
community program
76
5
local authority
105
6
other
481
Sysmiss
2530
hhld dispose garbage
12989
8
1
collected by local authority
438
2
collected by private firm
496
3
garbage pit
3192
4
burning
2543
5
public garbage heap
1299
6
farm/garden
4589
7
neighbourhood community group
96
8
other
336
Sysmiss
8
main source of cooking fuel - 1
12989
8
1
7126
2
purchased firewood
1268
3
grass
21
4
paraffin
1417
5
electricity
106
6
gas/LPG
542
7
charcoal
2361
8
biomass residue
38
9
biogas
6
10
other
104
Sysmiss
8
main source of cooking fuel - 2
4189
8808
1
370
2
purchased firewood
558
3
grass
12
4
paraffin
1149
5
electricity
85
6
gas/LPG
182
7
charcoal
1739
8
biomass residue
70
9
biogas
7
10
other
17
Sysmiss
8808
main source of lighting fuel - 1
12990
7
1
collected firewood
831
2
purchased firewood
30
3
grass
20
4
paraffin
9547
5
electricity
2124
6
solar
185
7
gas
27
8
dry cell (torch)
176
9
candles
29
10
biogas
0
11
other
21
Sysmiss
7
main source of lighting fuel - 2
4479
8518
1
collected firewood
550
2
purchased firewood
49
3
grass
8
4
paraffin
931
5
electricity
88
6
solar
63
7
gas
39
8
dry cell (torch)
2161
9
candles
563
10
biogas
3
11
other
24
Sysmiss
8518
Household installed solar panel
2409
10588
1
yes
261
2
no
2148
Sysmiss
10588
size of solar panel
239
12758
1
9999
998
DK
35
2387
10610
1
yes
2071
2
no
316
Sysmiss
10610
Does household get electricity from generator
2387
10610
1
own generator
41
2
own generator
103
3
no
2207
4
other
35
6
1
Sysmiss
10610
Does household get electricity from battery
2386
10611
1
car
72
2
motor cycle
88
3
both
25
4
no
2201
Sysmiss
10611
Main source of electricity
2395
10602
1
KPLC
2125
2
community generator
3
3
solar panels
220
4
generator, own
18
5
car battery
15
6
motorcycle battery
1
7
other
13
Sysmiss
10602
Cost of electricity last month
1684
11313
1
25000
1120.42
2271.843
Cost of lighting last month
11015
1982
1
17600
187.165
270.29
HH have electricity working
12991
6
1
yes
2305
2
no
10686
Sysmiss
6
HH connected within 100m
10685
2312
1
yes
2686
2
no
7999
Sysmiss
2312
hhld used small torch batteries
12989
8
1
yes
7187
2
no
5802
Sysmiss
8
total small torch batteries used
7171
5826
1
64
4.37
3.689
value of small torch batteries
7165
5832
1
1800
99.913
86.977
Weights
12997
0
11.1
3922.6
530.48
463.897
Serialised Cluster Number
71304
0
1
1339
680.356
372.668
Serialised HH Number
71304
0
1
7261
2
7261
3
7190
4
7222
5
7094
6
7185
7
7134
8
7172
9
7064
10
6721
energy sources
71304
0
1
purchased firewood
8447
2
collected firewood
10850
3
animal waste (biomass residue)
7259
4
straw or stalk (biomass residue)
7536
5
charcoal
9580
6
kerosene/paraffin
12073
7
gas/lpg
7571
8
electricity
7988
hhld used energy sources 12 months ago
71293
11
1
yes
30811
2
no
40482
Sysmiss
11
hhld used energy sources last month
30822
40482
1
yes
28851
2
no
1971
Sysmiss
40482
main purpose
28843
42461
1
boiling
708
2
heating
479
3
cooking
16449
4
lighting
11022
5
other
185
Sysmiss
42461
units used
14948
56356
1
bunch
836
2
bundle
5888
3
heap
2273
4
log
626
5
piece
341
6
sack
2271
7
debe
1298
8
gorogoro
849
9
tin
271
10
others
295
Sysmiss
56356
quantity used
14919
56385
0.1
1500
11.134
32.371
weight of unit
14748
56556
0.2
999
38.587
72.399
number of units used
12938
58366
0.1
99999.9
414.695
5042.453
unit of use
13871
57433
1
3 kg cylinder
139
2
6 kg cylinder
192
3
12.5 kg cylinder
119
4
13 kg cylinder
193
5
15 kg cylinder
147
6
other
31
7
11033
8
2017
Sysmiss
57433
total cost of units
20116
51188
1
280650
372.917
2141.119
distance to the nearest source
25017
46287
1
900
23.55
33.571
time spent by men
1090
70214
1
720
68.051
87.09
time spent by women
8124
63180
1
980
124.741
145.14
time spent by children
2572
68732
1
990
124.821
146.739
71304
0
11.1
3922.6
538.474
482.095
cluster
16804
0
1
1339
657.174
385.404
hhld serial number 1 - 10?
16804
0
1
10
5.44
2.862
hhld engage in farming 12 months ago
16804
0
1
2
1
yes
11244
2
no
5560
parcel ID
11244
5560
0
11
1.457
0.847
ID code of decision maker
11241
5563
0
98
98
non member
111
size of acres
11208
5596
0
1235
98
DK
42
general texture of soil
11241
5563
0
9
1
loamy
6897
2
sandy
1345
3
between sandy and clay
1887
4
clay
845
5
other
255
slope of parcel
11241
5563
0
9
1
flat
4951
2
slight slope
4075
3
moderate slope
1503
4
steep/hilly
691
5
other
9
crops 1 grown
11238
5566
0
999
14.208
47.573
crops 2 grown
8386
8418
0
999
27.568
28.747
crops 3 grown
4557
12247
0
999
30.888
40.166
crops 4 grown
2546
14258
0
999
32.05
51.947
crops 5 grown
1426
15378
0
999
29.569
44.767
hhld own parcel
11238
5566
0
9
1
yes
8041
2
no
3185
hhld have title
8182
8622
0
9
1
yes
3069
2
no
4969
status of parcel
3451
13353
0
9
1
rented/leased
1560
2
free - family
1096
3
free - others
388
4
communal
97
5
others
47
buy and sell farmland
11234
5570
0
2
1
yes
8126
2
no
3095
cost of sell/buy parcel
8154
8650
0
42000000
175963.1
801798.082
rent/lease 12 months ago
1830
14974
0
250000
3069.329
10338.969
total months practised irrigation
1022
15782
0
12
2.966
3.573
type of irrigation
969
15835
0
9
-inf
how hhld get water for irrigation
969
15835
0
9
1
watering can
248
2
hose pipe
124
3
sprinkler
8
4
canals
5
5
furrow
66
6
drip
104
7
other
75
expenditure on irrigation on parcel
614
16190
0
120000
1432.4689010688
7352.58404192256
months hhlds with enough water
1005
15799
0
12
4.08199966490624
4.50600017854464
applied inorganic fertilizer 12 months ago
11236
5568
0
2
1
yes
5413
2
no
5811
quantity of inorganic fertilizer 12 months ago
5585
11219
0
50000
115.874996420608
1157.05101942784
cost of inorganic fertilizer 12 months ago
5592
11212
0
225000
2736.11780784128
8207.32414132224
where fertilizer acquired - place 1
5605
11199
0
9
1
merchant
3480
2
relative
33
3
neighbour/friend
89
4
local market
1140
5
co-op/association
167
6
company
278
7
NGO/CBO
30
8
GOK/GOK agency
162
9
other
35
where fertilizer acquired - place 2
690
16114
0
8
1
merchant
101
2
relative
12
3
neighbour/friend
25
4
local market
53
5
co-op/association
18
6
company
46
7
NGO/CBO
2
8
GOK/GOK agency
44
9
other
0
applied organic fertilizer 12 months ago
11235
5569
0
2
1
yes
3736
2
no
7487
cost of organic fertilizer 12 months ago
2089
14715
0
50000
1484.8490471424
3498.05691797504
expenditure 12 months ago on pesticides
2456
14348
0
500000
1549.9060576256
14824.1584750592
expenditure 12 months ago on fuel
562
16242
0
72000
1550.18992812032
7511.41260361728
expenditure 12 months ago on lubricants
513
16291
0
40000
246.423010410496
2562.82997030912
expenditure 12 months ago on electricity
471
16333
0
17220
59.0700005556224
842.039948214272
expenditure 12 months ago on machine/equip repairs
679
16125
0
700000
1726.96205787136
27185.0156326912
expenditure 12 months ago on tractor/oxen plough
2389
14415
0
600000
2960.86287679488
14393.9319365632
expenditure 12 months ago on purchase of small farm implements
2672
14132
0
40000
394.852986519552
1307.92097316864
expenditure 12 months ago on farm repair
4737
12067
0
280000
3222.03010727936
9100.15523192832
expenditure 12 months ago on labour costs
924
15880
0
550000
1968.39995342848
21817.376899072
expenditure 12 months ago on others
1140
15664
0
100000
1429.51091011584
5543.45993076736
expenditure 12 months ago, total
7328
9476
0
1820820
4785.84917458944
31263.6977709056
expenditure 12 months ago on land reclamation
1028
15776
0
48000
1293.2679204864
3163.5638583296
expenditure 12 months ago on long term crops
528
16276
0
300000
1960.37088116736
13827.6061052928
expenditure 12 months ago on buying mechanical equip
420
16384
0
34000
182.582985621504
2082.01609904128
cluster
28301
0
1
1339
624.890025607168
401.05397977088
hhld serial number 1 - 10?
28301
0
1
10
5.44399989669888
2.8649998778368
hhld engage in farming 12 months ago
28301
0
1
2
1
yes
22737
2
no
5564
modue ID code
22692
5609
1
12
2.4119999463424
1.50299998158848
Crops
22680
5621
1
999
1
White maize
4018
2
Hybrid maize
2629
3
Yellow maize
241
4
Katumani maize
259
5
Synthetic maize
10
6
Wheat
65
7
Rice
31
8
Finger millet
493
9
Bulrush millet
122
10
Golden millet
10
11
Other millet
76
12
Sorgum
983
13
Barley
3
14
Oats
7
15
Yams
19
16
Arrowroots
67
17
Cassava
670
18
Sweet potatoes
527
19
Potatoes
920
20
Khat (Miraa)
64
21
Chillies
11
22
Onions
133
23
Carrots
57
24
Cabagges
169
25
Sukumawiki
520
26
Tomatoes
242
27
Pumpkins
67
28
French beans
45
30
other crops
1
31
Field peas
204
32
Beans
4292
33
Grams (Black/Grean)
546
34
Yellow grams
3
35
Cow peas
1116
36
Pigeon peas
477
37
Dolicos
30
38
Soya beans
26
40
Cashewnuts
35
41
Macadamia nuts
26
42
Groundnuts
301
43
Sim Sim
17
50
Other crops
1
51
Pears
8
52
Pineaples
37
53
Bananas (cooking)
575
54
Bananas (fruits)
155
55
Passion (fruits)
25
56
Oranges
50
57
Castor
1
58
Plums
8
59
Coconut
79
61
Nappier grass
232
62
Paddock grass
52
71
Sugar cane
292
72
Pyrethrum
15
73
Cotton
55
74
Tobacco
96
75
Tea
498
76
Coffee
476
77
Wattle
0
78
Sisal
0
79
Trees
42
80
Other crops
425
999
Not Stated
26
parcel ID 1
22354
5947
1
10
1.15400008269824
0.517
parcel ID 2
3442
24859
1
10
2.11600002777088
0.502
parcel ID 3
674
27627
1
9
3.07400003289088
0.688
parcel ID 4
148
28153
1
9
3.77699994435584
1.38900005715968
total crop area in acres
22171
6130
0.01
1240
1.0060000395264
8.72500057604096
hhld used purchased seeds
22678
5623
1
2
1
yes
11199
2
no
11479
where hhld acquired seeds - 1
11194
17107
1
9
1
merchant
4603
2
relative
85
3
neighbour
920
4
local market
5156
5
coop/association
76
6
private company
85
7
NGO/CBO
57
8
GOK agencies
126
9
others
86
where hhld acquired seeds - 2
242
28059
1
9
1
merchant
35
2
relative
46
3
neighbour
72
4
local market
62
5
coop/association
4
6
private company
6
7
NGO/CBO
6
8
GOK agencies
7
9
others
4
quantity obtained
10794
17507
1
55000
34.8100019355648
597.028035887104
cost of the seeds purchased
11117
17184
1
467500
892.185973096448
5002.9121241088
purchased seedlings 12 months ago
22668
5633
1
2
1
yes
525
2
no
22143
numbers of seedlings
507
27794
0.2
100000
921.780042596352
5099.37474076672
cost of seedlings purchased
497
27804
2
80000
2273.17888581632
7287.46764009472
where hhld acquire seedlings - 1
526
27775
1
9
1
merchant
48
2
relative
23
3
neighbour
247
4
local market
123
5
coop/association
12
6
private company
34
7
NGO/CBO
4
8
GOK agencies
9
9
others
26
where hhld acquire seedlings - 2
19
28282
1
9
1
merchant
1
2
relative
3
3
neighbour
9
4
local market
4
5
coop/association
0
6
private company
0
7
NGO/CBO
1
8
GOK agencies
0
9
others
1
quantity harvested 12 months ago
18184
10117
0.1
720000
294.982984400896
6507.61499312128
units harvested
18191
10110
1
10
1
kilogramme
8331
2
50 kg bag
1376
3
90 kg bag
7141
4
tonnes
221
5
number
1098
quantity consumed
15880
12421
0.1
720000
110.059996577792
5749.19825948672
units consumed
15894
12407
1
10
1
kilogramme
7664
2
50 kg bag
1225
3
90 kg bag
5867
4
tonnes
105
5
number
1014
quantity sold
6549
21752
0.1
194000
447.726986723328
3540.9539104768
units sold
6571
21730
1
10
1
kilogramme
2964
2
50 kg bag
339
3
90 kg bag
2596
4
tonnes
115
5
number
552
total value from sales
6448
21853
1
1500000
12428.473532416
48296.3569508352
average price paid
6399
21902
0.2
150000
673.737963732992
2843.40491649024
whom sold to - 1
6523
21778
1
9
1
merchant
1831
2
relative
65
3
neighbour
684
4
local market
2589
5
coop/association
420
6
private company
378
7
NGO/CBO
328
8
GOK agencies
5
9
others
223
whom sold to - 2
652
27649
1
9
1
merchant
67
2
relative
30
3
neighbour
228
4
local market
304
5
coop/association
12
6
private company
2
7
NGO/CBO
1
8
GOK agencies
0
9
others
8
quantity used for payments
926
27375
0.1
6400
98.0969993535488
495.234022637568
units used
979
27322
1
5
1
kilogramme
523
2
50 kg bag
50
3
90 kg bag
353
4
tonnes
12
5
number
41
quantity in store
4727
23574
0.1
4160
36.6939994062848
146.936988434432
units stored
4757
23544
1
10
1
kilogramme
2265
2
50 kg bag
252
3
90 kg bag
2170
4
tonnes
1
5
number
67
quantity used for seeds
3442
24859
1
2000
16.2420009992192
72.7440020209664
units for seeds
3472
24829
1
10
1
kilogramme
3111
2
50 kg bag
44
3
90 kg bag
240
4
tonnes
4
5
number
70
quantity given out as gift
4082
24219
1
5000
23.03599837184
113.264000237568
units given out
4138
24163
1
10
1
kilogramme
2874
2
50 kg bag
162
3
90 kg bag
787
4
tonnes
7
5
number
302
quantity lost/wasted
1264
27037
1
8000
59.7879982915584
334.71200231424
units lost/wasted
1304
26997
1
5
1
kilogramme
583
2
50 kg bag
132
3
90 kg bag
498
4
tonnes
5
5
number
86
cause of lost/wasted - 1
1274
27027
1
9
1
weevils
283
2
mice/rat
52
3
flood
81
4
wild
152
5
animal
117
6
theft
585
7
other
0
cause of lost/wasted - 2
259
28042
1
6
1
weevils
43
2
mice/rat
55
3
flood
14
4
wild
49
5
animal
44
6
theft
54
7
other
0
total days of labour for this crop
5309
22992
0.1
4200
39.8059984912384
128.238009450496
total labour cost
4952
23349
3
432000
3021.25481459712
11070.1297270784
cluster
28248
0
1
1339
640.492970704896
400.383998427136
hhld serial number 1 - 10?
28248
0
1
10
5.45300020199424
2.85700016570368
raised or owned livestock
28248
0
1
2
1
yes
22809
2
no
5439
livestock ID
22809
5439
0
21
1
yes
8004
2
no
5985
animal code
22809
5439
0
999
100
exotic cattle
30
101
exotic dairy cattle
1359
102
exotic beef cattle
160
103
exotic calves
500
200
zebu cattle
317
201
zebu milk cattle
2394
202
zebu beef cattle
1317
203
zebu calves
1273
300
sheep
258
301
wool sheep
193
302
hair sheep
1455
303
immature sheep
348
400
goats
463
401
dairy goats
739
402
meat goats
2558
403
immature goats
832
500
pigs
70
501
immature pigs
37
600
poultry
16
601
chicken layers
135
602
chicken broilers
59
603
indigenous chicken
5150
604
chicks
1824
605
ducks
183
606
geese
10
607
ostriches
4
608
turkey
41
701
camels
167
702
donkeys
481
703
horses
3
704
mules
2
801
fish
11
802
bees
125
803
crocodiles
5
804
rabbits
79
900
other
105
total livestock owned
22315
5933
0
30000
23.1079994720256
457.756976873472
if sold, cost of selling
22256
5992
0
400000
3877.02100852736
7102.69076504576
number sold 12 months ago
22809
5439
0
93500
18.0529991254016
749.031961657344
value recieved for sale 12 months ago
22809
5439
0
8120000
2350.31482073088
55299.3917239296
number consumed 12 months ago
22809
5439
0
900
1.26100004929536
10.260999831552
number died 12 months ago
22809
5439
0
19000
4.24599997120512
128.843004248064
number lost 12 months ago
22809
5439
0
1000
0.818
8.55399980859392
number given away 12 months ago
22809
5439
0
604
0.438
7.85399999889408
hhld purchased
22809
5439
0
2
1
yes
3291
2
no
19453
number purchased 12 months ago
22809
5439
0
48000
6.1149999529984
381.45097728
amount paid for purchase12 months ago
22809
5439
0
1780000
670.270985601024
12280.7744724992
number born 12 months ago
22809
5439
0
36000
19.752999190528
455.221973090304
number received 12 months ago
22809
5439
0
6500
0.739
44.3539997589504
number of days labour hired 12 months ago
22809
5439
0
37000
20.9979994800128
299.292984082432
amount paid for hired labour
22809
5439
0
360000
443.306995613696
4204.8417693696
expenditure 12 months ago on drugs
22809
5439
0
100000
342.070019489792
1465.41197131776
expenditure 12 months ago on vaccines
22809
5439
0
27000
66.8529980342272
440.103990198272
expenditure 12 months ago on water
22809
5439
0
21600
46.4510007640064
458.380015566848
expenditure 12 months ago on livestock chems
22809
5439
0
48000
245.406998986752
971.38000265216
expenditure 12 months ago on manu feeds
22809
5439
0
1920000
451.192991776768
14117.247123456
expenditure 12 months ago on folder
22809
5439
0
167900
106.74600148992
1876.47590924288
expenditure 12 months ago on AI
22809
5439
0
12000
18.0029996662784
226.61900009472
expenditure 12 months ago on livestock insurance
22809
5439
0
11820
0.84
80.8999972765696
expenditure 12 months ago on fuels
22809
5439
0
20000
8.02799986147328
299.460991123456
expenditure 12 months ago on lubricants
22809
5439
0
4080
0.812
38.263997857792
expenditure 12 months ago on electricity
22809
5439
0
6000
1.27999999475712
63.8319985688576
expenditure 12 months ago on mach repairs
22809
5439
0
10500
3.67200007356416
129.182994530304
expenditure 12 months ago on purch of small implements
22809
5439
0
7600
16.6919994867712
156.2759921664
expenditure 12 months ago on farm repairs
22809
5439
0
40000
22.261998288896
435.703997530112
expenditure 12 months ago on other
22809
5439
0
40000
37.8450003099648
493.65498462208
expenditure 12 months ago, total
22809
5439
0
1976800
1381.07299037184
15130.4953397248
main AI provider
22809
5439
0
5
1
government
1313
2
private vet
1406
3
self
577
4
none
7231
5
others
340
main vet services
22809
5439
0
5
1
government
5162
2
private vet
6592
3
self
5037
4
none
4856
5
others
122
22809
5439
0
34000000
1604.68601667584
225159.499743232
expenditure 12 months ago on purch of mecha equip
22809
5439
0
34000
6.99200006258688
353.851014119424
cluster
27176
0
1
1339
663.267974316032
381.561002262528
hhld serial number 1 - 10?
27176
0
1
10
5.45300020199424
2.8639999557632
raised or owned livestock
27176
0
1
2
1
yes
20271
2
no
6905
20271
6905
1
4396
2
4046
3
880
4
984
5
1543
6
1346
7
847
8
1686
9
824
10
2706
11
1013
Sysmiss
6905
7289
19887
0.249999996747776
3
0.300000009519104
2
0.499999993495552
21
0.700000011026432
2
1
584
1.2000000212992
5
1.30000003006464
1
1.40000003883008
2
1.50000004759552
43
1.79999999000576
2
2
379
2.099999932416
1
2.15000006262784
1
2.18000007364608
1
2.20000002506752
1
2.4000000425984
4
2.49999996747776
18
2.69999998500864
1
2.80000007766016
4
2.90000017031168
1
3
199
3.1000000200704
1
3.19999994494976
1
3.37000011923456
1
3.50000005513216
2
3.59999998001152
3
3.80000016531456
2
3.90000009019392
2
4
150
4.09999993995264
1
4.199999864832
2
4.4999999750144
11
4.8000000851968
1
5
160
5.24999991492608
1
5.49999989489664
2
5.60000015532032
3
6
129
6.30000030056448
2
6.75000013029376
4
6.8000002605056
1
6.89999984984064
1
7
84
7.19999996002304
2
7.50000007020544
36
8
116
8.25000001011712
1
8.399999729664
5
9
73
9.3000000602112
3
9.44999977975808
2
9.6000001703936
1
9.80000002015232
6
10
402
10.49999966208
10
10.8500000702464
1
10.8999995293696
1
11
26
11.0999998824448
6
12
188
12.4000000802816
1
12.4999998373888
2
13
33
13.0199995809792
1
13.4999999250432
6
14
66
15
312
16
76
16.4999993491456
2
16.799999459328
2
17
18
18
97
18.6000001204224
8
18.7500001755136
1
18.9000002306048
1
19
10
19.599999369216
1
20
327
21
55
21.749999599616
1
21.8999996547072
1
22
22
22.1999997648896
5
22.399999279104
5
22.499999875072
11
23
8
23.4999991238656
1
24
60
25
57
26
23
27
26
27.7999995846656
1
28
39
28.5000004009984
1
29
7
29.499999649792
1
30
573
30.7000000905216
1
31
12
31.4999981473792
13
32
18
32.099998367744
1
32.500000751616
1
33
6
33.1999998902272
1
33.599998918656
3
33.7500006514688
2
34
12
34.4999992492032
2
35
21
36
50
37
4
37.2000002408448
6
37.5000003510272
2
38
9
39
5
39.199998738432
1
40
106
41
3
41.2500000505856
1
42
34
42.6999977869312
1
43
2
43.4000002809856
1
44
4
44.3999995297792
6
44.4999984480256
1
44.799998558208
1
45
91
46
3
46.2000001908736
4
46.500000301056
2
48
24
49
2
50
81
51
1
52
2
52.4999991492608
7
54
8
54.7499982979072
1
55
6
55.8000003612672
1
56
14
57
5
58
4
60
395
62
16
63
18
64
3
65
3
65.2500021542912
1
66
3
66.5999976169472
2
67.199997837312
2
67.5000013029376
4
68
4
68.3999982780416
1
69
3
70
17
72
17
73.4999967956992
2
74
1
75
24
76
1
77.50000050176
1
78
4
78.399997476864
1
80
18
81
1
83
1
84
25
87
1
88.1999988391936
1
88.3999966756864
1
89.9000005820416
1
90
254
91
1
92
1
92.4000003817472
2
93
7
94
1
94.4999977975808
1
96
5
97.4999988994048
2
98
2
98.6999993401344
1
99
1
99.899999780864
1
100
40
100.799996755968
2
105
30
108
8
108.500000702464
1
109
1
112
8
112.49999937536
2
113
1
114
2
115
1
116
1
117
1
117.799997407232
1
118
1
119
1
120
209
121
1
121.500002680832
1
124
7
126
10
126.4999989248
1
128.300001263616
1
130
4
130.199995809792
1
133
1
135
13
137
1
139
1
140
6
142.500002004992
1
144
4
147
5
147.299997057024
1
150
205
155
10
156.399992569856
1
157.500007514112
1
160
3
162
1
165
1
168
14
170
2
171
1
180
115
186
4
189
2
195
3
197.400002035712
1
199.500006162432
1
200
18
202
2
206
1
210
46
214
1
216
1
217
4
217.49999599616
1
220
1
223
1
224
3
225
4
231
3
235
1
235.199992430592
1
240
60
241.500004810752
1
247
1
247.5000070144
1
248
4
250
2
252
3
255
2
257
1
270
27
275
1
279
2
280
7
282
1
294
1
295
1
300
91
310
8
315
3
320
1
330
6
340
1
342
1
350
4
360
34
364
2
372
4
378
1
380
1
390
5
392
1
400
2
403
3
420
18
434
1
435
1
448
1
450
19
460
1
465
2
471
1
480
7
485
1
496
1
500
1
510
3
540
5
542
1
543
1
558
1
570
1
588.499975667712
1
589
1
600
19
610
1
620
3
630
2
660
2
690
1
700
1
720
4
729
1
744
1
750
3
780
2
800
2
810
2
837
1
840
3
900
5
930
2
960
1
1000
1
1020
1
1050
3
1080
1
1144
1
1182
1
1200
9
1320
1
1398
1
1450
1
1500
2
1800
1
1980
1
2100
1
2160
2
2250
1
2392
1
2400
2
2700
2
2950
1
3000
1
3240
1
4050
1
4320
1
4500
1
5010
1
7462
1
8700
1
9000
1
118000
1
Sysmiss
19887
7286
19890
1
681
2
2836
3
3432
4
317
5
20
Sysmiss
19890
2278
24898
0.499999993495552
2
0.700000011026432
1
1
89
1.2000000212992
1
1.50000004759552
1
1.79999999000576
1
2
77
2.099999932416
1
2.49999996747776
1
2.69999998500864
1
3
67
3.50000005513216
1
4
56
4.4999999750144
2
4.8000000851968
1
5
82
5.39999997001728
1
5.88000014630912
1
6
40
6.30000030056448
2
7
12
7.50000007020544
3
8
29
9
26
9.3000000602112
4
9.80000002015232
1
10
130
10.49999966208
9
11
2
11.0999998824448
1
11.199999639552
2
11.249999937536
1
11.3999999926272
1
11.5500000477184
1
11.5999995068416
1
12
24
12.4999998373888
1
12.599999594496
1
13
3
13.4999999250432
2
14
7
14.2999996596224
1
14.7299997057024
1
14.7999992840192
1
15
79
15.500000100352
1
16
8
16.799999459328
1
17
1
18
18
18.6000001204224
5
19
2
20
87
21
27
21.7000001404928
1
21.749999599616
1
22
3
22.1999997648896
1
22.499999875072
8
23
2
23.250000150528
1
24
9
25
8
27
10
28
11
28.3999981273088
1
28.5000004009984
1
29
1
30
188
31
5
31.4999981473792
3
32
1
32.5500002107392
1
33
3
33.599998918656
1
34
2
36
12
39.8999978770432
1
40
35
42
19
42.8000000606208
1
43
1
44
3
45
42
46
4
46.500000301056
1
47
1
48
1
50
29
50.399998377984
1
52
1
52.4999991492608
3
54
3
55
1
56
3
57
1
60
163
62
8
63
3
63.749998247936
1
65
1
66
1
67
1
67.5000013029376
1
68
5
69.300001964032
2
70
11
72
2
73.4999967956992
1
74
2
75
18
79.7999957540864
1
80
16
82
1
84
7
85
3
86
1
89
2
90
118
92.4000003817472
1
93
3
96
2
98.6999993401344
1
100
39
101
1
105
8
108.500000702464
1
111
1
111.600002400256
1
112
4
112.49999937536
1
115.500000477184
1
116.25000075264
1
120
84
124
9
126
3
130
3
131
2
135
4
137
1
140
4
144
2
147
2
150
64
155
4
157
1
157.500007514112
1
160
5
168
2
170
2
173.599994413056
1
174
3
180
29
186
1
187
1
190
2
194
1
195
1
196
1
200
21
210
24
217
1
218
1
224
1
225
2
240
28
241.500004810752
1
248
4
250
3
265
1
270
20
279
2
280
3
285
1
291.500000804864
1
300
34
310
3
312
1
330
2
342
1
350
1
360
10
371.500007817216
1
372
1
384
1
390
8
400
1
420
4
434
2
440
2
450
11
476
1
480
4
496
1
500
4
510
1
536
1
540
6
580
1
600
6
620
1
645
1
660
1
680
1
700
1
712
1
720
1
750
3
780
1
785
1
806
1
810
2
850
1
870
1
900
2
930
1
1000
1
1005
1
1350
1
1440
2
1500
2
1680
1
1800
1
2000
1
2070
1
2160
1
2400
1
2520
1
2550
1
3000
1
3600
1
4000
1
4200
1
6240
1
8700
1
10000
1
12000
1
Sysmiss
24898
2273
24903
1
16
2
37
3
22
4
8
5
5
8
8
9
1
10
11
12
6
13
1
15
17
16
5
18
2
20
48
21
3
24
7
25
39
27
1
28
1
30
35
32
6
35
7
36
5
40
37
42
5
45
7
48
7
50
74
52
2
53
1
54
1
55
1
56
1
60
27
63
2
64
3
65
2
68
1
70
5
75
15
80
23
84
2
88
1
90
11
95
1
100
54
105
4
108
1
110
1
112
1
120
39
125
5
130
4
132
1
135
1
140
7
142
1
147
1
150
59
160
11
165
1
180
11
190
1
196
2
198
1
200
46
210
9
216
1
217
2
220
1
224
1
225
7
230
1
233
1
240
14
248
1
250
21
252
1
270
1
279
1
280
13
288
2
300
104
310
7
315
1
320
3
324
1
330
2
342
1
350
2
355
1
360
14
365
1
372
2
375
4
382
1
390
2
392
2
400
25
408
1
420
22
440
1
450
37
464
1
465
2
480
14
496
2
500
16
514
1
520
2
530
1
540
7
550
2
552
1
560
3
580
1
585
2
600
121
616
1
620
5
630
4
640
2
650
1
660
1
675
3
700
7
720
19
744
1
750
7
760
1
766
1
775
2
780
11
784
1
800
9
806
1
810
1
840
14
868
1
900
86
904
1
930
5
960
9
975
1
980
1
1000
16
1008
2
1020
1
1040
1
1050
4
1060
1
1066
1
1080
15
1115
1
1120
2
1125
3
1130
1
1140
1
1170
9
1178
1
1190
1
1200
74
1209
1
1220
1
1240
3
1250
1
1260
14
1275
1
1300
3
1302
2
1320
1
1350
21
1395
1
1400
8
1440
17
1500
30
1530
1
1550
1
1560
7
1575
1
1600
2
1620
3
1650
2
1660
1
1665
1
1680
10
1687
1
1700
1
1720
1
1736
2
1740
2
1750
1
1755
1
1780
1
1800
77
1820
1
1860
4
1890
1
1900
1
1920
5
1950
3
1960
2
1974
1
1980
2
1984
2
2000
10
2025
2
2100
14
2108
1
2160
6
2170
1
2175
1
2200
1
2226
1
2232
1
2240
2
2250
17
2329
1
2340
1
2400
28
2405
1
2475
1
2480
1
2500
4
2520
4
2550
4
2600
1
2610
1
2700
21
2730
2
2744
1
2751
1
2790
1
2800
2
2880
4
2940
3
3000
20
3040
1
3060
3
3080
1
3100
1
3120
1
3150
6
3200
2
3240
5
3255
1
3300
3
3348
1
3360
5
3400
1
3450
1
3500
2
3510
2
3528
1
3570
1
3574
1
3600
23
3720
2
3740
1
3750
1
3780
7
3800
1
3840
1
3900
5
3906
1
3960
1
3968
1
3975
1
4000
4
4050
4
4081
1
4160
1
4170
1
4200
8
4250
1
4256
1
4320
4
4350
1
4410
1
4500
6
4590
1
4650
1
4680
1
4800
6
4836
1
4910
1
4960
2
5000
3
5040
1
5100
1
5130
1
5250
1
5315
1
5386
1
5400
7
5460
1
5600
1
5700
1
5760
3
5850
4
5880
1
5890
1
5940
1
6000
13
6090
1
6120
1
6250
1
6300
2
6315
1
6400
1
6480
1
6525
1
6600
1
6640
1
6664
1
6699
1
6750
1
6900
1
7000
2
7200
6
7230
1
7500
2
7560
1
7680
1
7800
2
7920
1
8100
1
8400
3
8600
1
8660
1
8800
1
9000
9
9180
1
9520
1
9600
2
9720
1
9920
1
10000
1
10530
1
10800
3
10920
1
11250
1
11284
1
11600
1
12000
4
12771
1
12865
1
13020
1
13500
1
13600
1
14000
1
14560
1
15000
3
15150
1
15300
1
16000
1
16740
1
16800
2
17400
1
18000
2
18001
1
18090
1
18760
1
19500
2
20250
1
21000
3
21600
1
22000
2
30000
2
30380
1
31050
1
31500
1
40000
2
45000
1
45900
1
83000
1
86400
1
200000
1
210000
1
960000
1
Sysmiss
24903
2266
24910
1
127
2
53
3
286
4
17
5
890
6
146
7
422
8
13
9
312
Sysmiss
24910
1214
25962
0.169999989735424
1
0.200000000753664
1
0.249999996747776
1
0.300000009519104
3
0.499999993495552
14
0.600000019038208
3
0.700000011026432
2
0.89999999500288
1
1
69
1.049999966208
1
1.07999997722624
1
1.2000000212992
3
1.24999998373888
1
1.40000003883008
2
1.50000004759552
7
1.75000002756608
2
1.79999999000576
1
1.90000008265728
1
2
117
2.099999932416
1
2.4000000425984
1
2.45000000503808
1
2.49999996747776
6
2.69999998500864
1
3
81
3.03999999803392
1
3.15000015028224
1
3.50000005513216
3
3.59999998001152
1
4
89
4.199999864832
1
4.4999999750144
1
5
154
5.88000014630912
1
6
32
6.75000013029376
1
7
19
7.39999980978176
1
7.50000007020544
5
8
26
8.399999729664
1
9
15
9.3000000602112
1
10
163
10.0999997947904
1
10.49999966208
12
10.879999410176
1
11
3
11.899999617024
1
12
14
13
1
14
5
14.7000003657728
1
15
47
15.1999999901696
1
15.500000100352
2
16
1
17
1
18
3
19
1
20
52
21
5
21.749999599616
1
22
1
22.499999875072
3
23
1
24
3
25
6
27
1
28
3
30
86
31
3
31.4999981473792
2
33.599998918656
1
34.1999991390208
1
35
1
40
6
40.499998097408
1
42
3
43
1
45
5
50
13
56
2
60
22
70
5
72
1
74
1
75
1
80
4
84
1
90
9
98
1
100
2
102
1
120
9
130
1
150
6
160
1
180
2
186
1
200
1
210
2
350
1
360
1
390
1
480
1
600
1
1000
2
1222
1
2000
1
Sysmiss
25962
1217
25959
1
177
2
678
3
325
4
27
5
7
6
1
9
2
Sysmiss
25959
13311
0
1
1339
667.79795685376
386.797003603968
hhld serial number 1 - 10?
13311
0
1
10
5.46099991412736
2.85999993192448
13311
0
1
2
1.70900003487744
0.454
3866
9445
1
12
1.141999927296
0.51
3657
9654
1
9599
5988.14004084736
1826.21891985408
3860
9451
1
3
1.43399998980096
0.724
3860
9451
1
12
1.42700003196928
0.891
480
12831
1
12
2.1830001754112
1.14300001714176
515
12796
1
12
1.50499999350784
1.4090000924672
3809
9502
1
21
1.46099989905408
0.971
385
12926
1
12
2.26799992700928
1.34800006447104
3809
9502
1
12
9.93500023750656
3.43100006334464
Operation place
3863
9448
1
11
1
Home Inside Residence
565
2
Home Outside Residence
498
3
Jua Kali Sheds
103
4
Local Market
889
5
Commercial Area Shop
588
6
Roadside
439
7
Other Fixed Place
175
8
Mobile
436
9
Kiosks
83
10
Other
81
11
Not stated
6
3199
10112
1
198
6.88199991033856
8.31800007983104
1696
11615
1
99
5.76199994638336
10.6750002855936
Registration status
3862
9449
1
9
1
Formal
498
2
Informal
3350
9
Not Stated
7
No of Males
1967
11344
1
5
1.08599992909824
0.354
No of Females
2191
11120
1
10
1.11500001804288
0.445
No of Males
574
12737
1
97
3.97600020758528
8.3920003530752
No of Females
282
13029
1
153
3.53900003590144
11.0449999740928
3112
10199
1
99
43.8510020460544
24.960999358464
Operation place
3858
9453
1
12
1
Loan From Family/Friend
262
2
Gift From Family/Friend
561
3
Sale of Assets Owned
246
4
Proceeds from Another Business
384
5
Own Savings
1785
6
Loan From Saccos
123
7
Non Agricultural Credit
34
8
Money Lender
22
9
Inherited
33
10
Other
126
11
None
273
399
12912
1
11
4.28100026368
2.24200010760192
36
13275
1
10
4.33300023803904
2.57499999502336
3648
9663
1
20000000
76273.5591686144
728921.3812736
1135
12176
10
492000
4451.06788237312
19982.0719423488
718
12593
10
2800000
32616.4379860992
163153.358880768
1432
11879
2
2000000
3255.0969933824
53880.8546230272
523
12788
2
510000
4656.26397147136
28924.557918208
90
13221
2
300000
28091.8224797696
56970.7144937472
2290
11021
20
17200000
48420.1090514944
543134.115168256
1452
11859
20
1000000
4538.06177386496
31064.94480384
866
12445
2
10000000
62911.4595704832
662627.285991424
759
12552
10
2500000
11366.3759351808
102585.67135232
3443
9868
3
17906000
60446.79929856
632278.308880384
Market for product
3852
9459
1
9
1
Final Consumers
3387
2
Small Business
295
3
Large Established Business
18
4
Institutions
49
5
Export
4
6
Manufacturers
26
7
Government
6
8
Other
52
9
Not stated
15
496
12815
1
8
2.11100008185856
1.1410000052224
Profitability
3850
9461
1
9
1
Earned a profit
2920
2
Loss
267
3
Broke Even
650
9
Not stated
13
3131
10180
-400000
20000000
54454.5850785792
495945.91346688
13311
0
11.0999998824448
3922.60000677888
527.775010127872
463.366002835456
Serialised cluster nummber
12924
0
1
1339
666.722000437248
386.574000848896
Serialised HH number
12924
0
1
10
5.45699989028864
2.85999993192448
received transfer
Has the household received or given out any transfers (cash or in-kind) (include CEREMONIAL EXPENDITURES) during past 12 months?
Did the household (or any member of the household) receive or give any gifts whether in cash or kind during the last 12 months. If YES record 1. If record NO record 2 and skip to R10.
12924
0
0
1
1
yes
9027
2
no
3896
household ID
Over the past 12 months, did household receive any gifts (in cash or in-kind) from any source (Individuals / family/institutions) outside your household?
9024
3900
0
1
1
yes
6265
2
no
2758
Sysmiss
3900
cash received from individuals
'What was the total value of all cash received as a gift from (…..) in the last 12 months?(Individual)
Record the amount of cash (in Kshs) received against the relevant source(s). If the household received cash in dollars (or any other currency) from abroad convert into Kshs and insert this against the column for Outside Kenya. Probe to find out how much it was in Kshs.
6270
6654
0
2044
1
9
2
1
6
1
10
1
15
1
20
4
30
1
40
1
50
38
60
2
100
125
110
1
120
6
150
28
160
1
180
1
200
263
230
1
240
2
250
28
260
2
300
127
340
1
350
8
360
2
380
1
400
77
450
5
480
5
500
379
520
3
540
1
550
8
560
1
580
1
600
92
620
1
650
5
680
1
700
49
720
1
750
3
760
1
800
58
820
2
840
1
850
6
890
1
900
13
950
1
1000
340
1020
1
1030
1
1100
12
1150
1
1200
73
1250
2
1300
16
1350
2
1400
25
1450
2
1500
123
1600
18
1650
1
1700
9
1750
1
1800
25
1900
5
1950
1
2000
358
2100
5
2200
5
2250
1
2300
3
2400
27
2435
1
2500
54
2600
9
2700
1
2800
8
2900
2
3000
230
3020
1
3100
1
3200
7
3300
6
3400
3
3500
25
3600
20
3700
4
3800
2
3850
1
3900
1
4000
129
4200
4
4250
1
4300
1
4400
1
4500
16
4600
2
4700
1
4800
8
4900
2
5000
198
5200
4
5300
1
5400
3
5500
8
5600
1
6000
161
6200
3
6400
1
6500
6
6600
1
6900
2
7000
30
7200
6
7400
2
7500
4
7600
2
7700
1
7800
1
8000
47
8300
1
8400
6
8500
2
9000
16
9500
2
9600
7
9700
1
9800
1
10000
125
10200
1
10400
1
10440
1
10600
1
10700
1
10800
1
11000
6
11500
1
12000
90
12500
2
12600
1
12900
1
13000
9
13200
1
14000
17
14400
2
14500
2
15000
42
15600
1
16000
4
16750
1
17000
3
17500
1
17600
1
18000
24
18100
1
18500
1
18800
1
19000
1
19200
3
20000
45
20200
1
20300
1
20400
1
20500
1
21000
3
21600
2
22000
3
22500
1
23000
2
24000
46
24500
1
25000
12
26000
2
27500
1
28000
4
28200
2
28800
1
29000
1
30000
36
30500
1
31000
1
32000
5
34000
4
35000
5
36000
31
37000
1
39000
1
39300
1
40000
15
41000
1
42000
2
42050
1
43000
1
43550
1
45000
3
48000
17
48500
1
50000
24
50500
1
51000
1
53000
1
56000
2
60000
27
65000
1
66000
1
70000
2
70300
1
71400
1
72000
10
75000
1
76000
1
80000
2
82000
1
84000
3
88000
2
90000
1
98000
1
100000
12
108000
2
115000
1
120000
9
120048
1
140000
1
144000
1
150000
2
156000
1
200000
4
242000
1
250000
2
340450
1
360000
3
384000
1
473000
1
500000
1
600000
1
700000
1
720000
1
1000000
1
1200000
1
1300000
1
Sysmiss
6654
cash received from non-profit instititution
'What was the total value of all cash received as a gift from (…..) in the last 12 months? (Non profit Institution)
Record the amount of cash (in Kshs) received against the relevant source(s). If the household received cash in dollars (or any other currency) from abroad convert into Kshs and insert this against the column for Outside Kenya. Probe to find out how much it was in Kshs.
6270
6654
0
6134
30
1
78
1
100
4
150
1
200
2
240
1
270
1
280
1
300
2
350
2
400
4
500
6
520
1
600
1
620
1
660
1
700
1
800
2
1000
16
1200
2
1500
4
1600
3
1911
1
2000
16
2235
1
2680
1
3000
8
3500
1
3600
1
4000
1
4200
1
5000
5
5500
1
6000
4
6500
1
6985
1
7000
1
8000
2
9000
1
10000
6
10900
1
12000
2
13000
1
15000
5
16000
1
18000
1
19700
1
20000
2
21000
1
23000
1
40000
3
48000
1
50000
2
60000
1
100000
1
120000
1
Sysmiss
6654
cash received from government
'What was the total value of all cash received as a gift from (…..) in the last 12 months? (Government)
Record the amount of cash (in Kshs) received against the relevant source(s). If the household received cash in dollars (or any other currency) from abroad convert into Kshs and insert this against the column for Outside Kenya. Probe to find out how much it was in Kshs.
6270
6654
0
6210
10
1
60
1
100
2
180
1
200
2
240
1
302
1
450
1
480
1
500
3
555
1
580
1
700
1
738
1
800
1
863
2
1000
3
1200
1
1400
2
1500
2
1800
1
2000
1
2800
1
2875
2
3000
3
3600
1
3785
1
3800
1
4000
1
4200
1
5000
5
6000
1
7000
2
7700
1
8000
1
8500
1
10000
3
15000
1
20000
1
23000
1
24000
1
Sysmiss
6654
cash received from corporate sector
'What was the total value of all cash received as a gift from (…..) in the last 12 months? (Corporate Sector)
Record the amount of cash (in Kshs) received against the relevant source(s). If the household received cash in dollars (or any other currency) from abroad convert into Kshs and insert this against the column for Outside Kenya. Probe to find out how much it was in Kshs.
6270
6654
0
6245
90
1
500
2
540
1
1000
1
1650
1
1700
1
2000
2
3220
1
5000
2
6500
1
10000
1
11000
1
12000
1
15000
1
16000
1
20000
2
22000
1
25000
1
30000
1
75000
1
100000
1
Sysmiss
6654
cash received from outside kenya
'What was the total value of all cash received as a gift from (…..) in the last 12 months? (Outside Kenya)
Record the amount of cash (in Kshs) received against the relevant source(s). If the household received cash in dollars (or any other currency) from abroad convert into Kshs and insert this against the column for Outside Kenya. Probe to find out how much it was in Kshs.
6270
6654
0
6145
40
1
52
1
90
1
100
1
149
1
200
1
250
1
400
1
440
1
500
3
1000
3
1200
2
1500
1
2000
5
2400
2
3000
4
3500
2
4800
1
5000
7
6000
5
8000
3
8400
1
10000
4
12000
1
13000
1
15000
3
16000
1
20000
5
24000
1
25000
1
29000
1
30000
5
35000
1
36000
1
40000
2
42000
1
50000
3
52500
1
60000
3
70000
1
80000
1
84000
3
90000
1
96000
2
100000
5
120000
3
125000
1
142000
1
153000
1
170000
1
180000
1
200000
1
240000
2
280000
1
300000
1
360000
1
370000
1
400000
2
450000
1
650000
1
700000
2
800000
1
1000000
1
1080000
1
1098000
1
1700000
1
2000000
1
3000000
2
Sysmiss
6654
food received from individual
'What was the total value of all food received as a gift from (….) in the last 12 months? (Individual)
(KShs)
Indicate the value of any food received for free in this column against the relevant source. If for example, the household received one bag of maize, use the price of a bag of maize (within that area) as the estimate. Probe to find out how much the bag would have cots.
6270
6654
0
2853
5
1
10
2
15
2
20
12
25
2
30
5
35
1
38
1
40
9
42
1
45
3
50
47
55
2
60
16
65
2
70
10
75
3
80
29
81
1
85
1
90
8
95
1
96
1
100
122
104
1
110
1
120
32
125
2
132
1
136
1
140
7
144
1
146
1
150
66
155
1
156
1
157
1
160
14
164
1
165
1
170
3
175
1
179
1
180
22
182
1
185
1
186
1
189
1
190
1
192
1
193
1
200
270
205
1
206
1
210
4
225
5
227
1
230
2
235
1
238
1
240
13
250
39
251
1
260
6
270
2
275
1
280
8
288
1
290
3
300
175
304
1
310
1
320
8
330
1
335
1
338
1
340
2
345
1
350
19
360
7
365
1
370
3
380
4
385
1
390
2
395
1
400
124
420
8
430
1
440
2
450
20
456
1
460
3
465
1
480
7
490
1
500
349
515
1
520
1
525
1
530
2
540
1
550
3
560
5
570
2
580
2
587
1
590
1
600
99
605
1
620
2
630
2
633
1
640
4
650
5
660
2
665
1
670
1
675
2
680
4
700
57
720
10
750
11
760
4
770
1
790
1
800
78
810
1
820
3
825
1
830
1
840
2
843
1
850
3
860
1
870
1
875
3
895
1
900
30
918
1
920
1
950
1
960
5
980
2
1000
328
1040
1
1050
1
1060
1
1065
1
1090
1
1095
1
1100
4
1125
1
1130
2
1150
1
1160
1
1170
1
1180
1
1200
86
1220
1
1250
1
1280
3
1290
1
1300
10
1350
2
1360
1
1390
1
1400
11
1425
1
1440
2
1500
98
1550
1
1600
25
1612
1
1620
2
1670
1
1700
5
1800
25
1825
1
1880
1
1900
1
2000
213
2040
1
2048
1
2100
1
2160
3
2200
3
2240
1
2250
1
2300
1
2400
23
2420
1
2500
29
2600
4
2640
1
2700
1
2800
7
2880
1
2900
2
3000
124
3120
1
3150
2
3200
3
3360
1
3380
1
3400
1
3500
8
3510
1
3600
13
3700
1
3800
1
3900
2
4000
59
4200
3
4400
1
4500
8
4562
1
4600
1
4640
1
4800
9
4910
1
5000
93
5500
1
5600
1
5700
1
5950
1
6000
59
6200
2
6500
3
6600
1
6800
1
7000
12
7200
3
7255
1
7800
1
8000
13
8060
1
8700
1
8800
1
9000
5
9120
1
9500
1
9600
2
10000
34
11000
2
12000
17
12400
1
12500
1
12600
1
12800
1
13000
1
14000
2
14400
1
15000
6
16000
4
16800
1
17000
2
18000
3
19000
1
20000
10
20160
1
21000
2
21200
1
24000
4
25000
2
28000
1
30000
8
36000
8
36500
1
40000
2
50000
5
60000
4
72000
1
84000
1
90000
1
168000
1
Sysmiss
6654
food received from non-profit instititution
'What was the total value of all food received as a gift from (….) in the last 12 months? (Non profit Institution)
(KShs)
Indicate the value of any food received for free in this column against the relevant source. If for example, the household received one bag of maize, use the price of a bag of maize (within that area) as the estimate. Probe to find out how much the bag would have cots.
6270
6654
0
5571
40
2
50
2
80
2
90
1
100
8
117
1
120
3
125
1
140
2
150
3
160
3
180
2
185
1
190
1
200
16
220
1
230
1
250
5
255
1
270
1
280
4
285
1
300
15
320
1
335
1
340
2
350
4
360
6
365
1
370
1
380
1
400
18
420
1
425
1
450
1
460
1
464
1
467
1
470
3
480
1
490
2
495
1
500
34
540
2
550
2
560
2
570
1
599
1
600
13
610
3
630
2
632
1
640
1
650
5
670
1
680
1
700
9
702
1
720
2
740
1
750
6
760
1
775
1
780
1
800
16
805
1
840
1
850
3
860
1
900
7
905
1
930
1
940
1
980
2
1000
28
1050
3
1052
1
1100
2
1110
2
1120
5
1160
1
1190
1
1199
1
1200
29
1250
1
1300
2
1350
1
1370
1
1385
1
1390
1
1400
6
1470
1
1500
21
1510
1
1520
1
1545
1
1600
13
1638
1
1695
1
1700
4
1730
1
1760
1
1790
1
1800
30
1830
1
1850
5
1890
1
1900
2
1960
1
2000
25
2030
1
2040
2
2100
6
2140
1
2160
1
2196
1
2200
8
2240
1
2250
1
2400
5
2480
1
2500
16
2600
1
2616
1
2680
2
2700
1
2730
1
2765
1
2790
1
2800
2
2805
1
2808
1
2840
1
2880
1
2900
1
3000
25
3040
1
3064
1
3200
2
3280
1
3360
2
3500
8
3590
1
3600
3
3740
1
3782
1
3800
1
3840
1
3970
1
4000
20
4080
1
4100
1
4153
1
4200
2
4250
1
4340
1
4451
1
4500
1
4560
1
4619
1
4800
3
5000
22
5205
1
5240
1
5280
1
5440
1
5640
1
5760
1
6000
3
6160
1
6240
1
6480
1
6540
1
6600
1
7000
6
7380
1
7430
1
7740
1
8000
12
8510
1
8840
1
9000
7
9500
1
9600
1
9745
1
10000
12
11000
1
12000
5
13500
1
14000
1
15000
2
15788
1
17964
1
18000
1
19000
1
20000
8
25000
3
26000
1
36000
1
50000
1
Sysmiss
6654
food received from government
'What was the total value of all food received as a gift from (….) in the last 12 months? (Government)
(KShs)
Indicate the value of any food received for free in this column against the relevant source. If for example, the household received one bag of maize, use the price of a bag of maize (within that area) as the estimate. Probe to find out how much the bag would have cots.
6270
6654
0
4893
15
1
16
2
20
3
25
1
30
5
34
1
40
11
45
3
50
6
51
1
53
1
54
2
55
1
60
11
64
2
70
6
72
2
74
1
75
3
78
1
80
16
90
7
95
3
96
2
100
48
110
1
114
1
115
1
120
18
125
4
130
2
133
1
136
1
138
1
140
7
144
1
145
1
149
1
150
30
155
1
160
16
162
1
164
1
169
1
170
5
172
1
176
1
180
14
187
1
195
1
196
1
198
1
200
73
202
1
204
1
205
1
210
1
214
1
215
2
216
1
220
2
225
4
226
1
234
1
239
1
240
16
243
1
245
1
250
19
252
1
255
1
258
1
260
3
265
1
266
1
270
3
273
1
280
4
281
1
285
1
300
64
306
1
310
5
314
1
315
1
320
2
325
1
329
1
334
2
335
1
340
1
345
1
350
6
352
1
353
1
360
3
370
3
374
1
380
1
400
47
404
2
410
1
415
1
420
6
426
1
430
2
440
2
445
1
450
12
456
1
460
1
465
1
467
1
475
1
480
1
485
1
500
80
510
2
520
2
525
1
542
1
550
2
555
1
560
2
570
2
575
1
580
2
590
1
600
41
610
3
615
1
620
1
640
2
650
2
665
1
675
1
680
1
700
26
705
1
720
4
728
1
730
3
738
1
740
4
745
1
750
5
760
3
765
1
790
1
800
36
820
4
836
1
840
3
850
8
863
3
870
1
880
1
885
1
890
3
895
1
900
23
915
1
920
1
945
1
950
1
955
1
980
2
990
1
1000
57
1050
2
1060
1
1080
1
1090
2
1119
1
1140
1
1160
1
1190
1
1200
37
1250
1
1260
2
1285
1
1300
8
1340
1
1345
1
1360
1
1400
3
1418
2
1460
1
1490
1
1500
35
1520
1
1600
7
1620
1
1700
2
1744
1
1790
1
1800
14
1840
2
1860
2
1865
1
1900
7
1910
1
1920
1
1940
1
1950
4
1970
1
1980
2
2000
41
2100
3
2181
1
2200
2
2255
1
2260
1
2300
6
2400
5
2405
1
2425
1
2440
4
2475
1
2500
12
2600
5
2700
1
2730
1
2800
4
2825
1
2840
1
2850
1
2875
3
3000
17
3045
1
3100
3
3130
1
3160
1
3200
6
3230
1
3250
1
3300
1
3350
2
3400
2
3420
1
3450
1
3470
1
3500
7
3600
1
3785
2
3800
1
3995
1
4000
12
4135
1
4200
1
4300
1
4320
1
4420
1
4500
5
4700
1
4750
2
4900
1
4916
1
5000
19
5120
1
5125
1
5225
1
5350
1
5500
1
6000
7
6345
1
6450
1
6500
3
7000
8
7200
1
7289
1
8000
4
8400
1
9000
9
9200
1
9210
1
9500
1
9835
1
10000
18
10335
1
10648
2
10750
1
10920
1
12000
2
12700
1
13000
3
14000
1
14160
1
14360
1
14390
1
14920
1
15000
1
16000
1
16080
1
16420
1
17460
1
18000
1
18030
1
18500
1
19000
1
19700
2
20000
4
20500
1
20890
1
20900
1
23000
1
30000
1
35200
1
45000
1
Sysmiss
6654
food received from corporate sector
'What was the total value of all food received as a gift from (….) in the last 12 months? (Corporate Sector)
(KShs)
Indicate the value of any food received for free in this column against the relevant source. If for example, the household received one bag of maize, use the price of a bag of maize (within that area) as the estimate. Probe to find out how much the bag would have cots.
6270
6654
0
6254
51
1
60
2
200
1
480
1
500
3
1000
1
1150
1
2000
1
3000
1
3120
1
4500
1
5000
1
30000
1
Sysmiss
6654
food received from outside kenya
'What was the total value of all food received as a gift from (….) in the last 12 months? (Outside Kenya)
(KShs)
Indicate the value of any food received for free in this column against the relevant source. If for example, the household received one bag of maize, use the price of a bag of maize (within that area) as the estimate. Probe to find out how much the bag would have cots.
6270
6654
0
6252
90
1
400
1
480
1
500
1
570
1
675
1
720
1
2000
2
3000
1
5000
1
10000
1
15000
1
18000
1
20000
1
60000
1
200000
1
450000
1
Sysmiss
6654
all kinds received from individual
'What was the total value of all other in-kind gifts received from (…) in the last 12 months? (Individual)
(KShs)
Record the value of any other in-kind gift received by the household or any member of the household within the last 12 months. Other in-kind mean any other gift other than those recorded under R03 and R04. If it was a service indicate the estimated value of the service.
6270
6654
0
4298
1
4
2
2
10
3
20
11
27
1
30
4
50
32
60
5
70
5
80
6
100
76
120
8
140
2
143
1
150
43
160
2
175
1
180
7
190
2
200
113
210
3
220
2
230
1
240
4
250
51
260
2
270
1
280
2
300
112
320
5
345
1
350
23
380
2
400
79
420
3
425
1
430
1
440
1
450
28
460
1
480
6
500
181
520
1
525
1
550
7
560
1
600
58
615
1
620
1
650
8
670
3
690
1
700
33
720
2
750
9
760
2
800
54
820
3
840
3
850
5
900
6
920
3
935
1
950
3
1000
164
1040
1
1070
1
1100
7
1120
1
1150
2
1200
37
1230
1
1250
2
1260
1
1280
1
1300
13
1400
12
1420
1
1500
74
1540
2
1600
10
1650
2
1690
1
1700
4
1750
2
1800
19
1880
1
1900
1
1920
1
2000
115
2020
2
2080
1
2086
1
2100
1
2200
4
2250
1
2300
2
2350
1
2360
1
2400
8
2450
1
2500
13
2600
3
2750
2
2793
1
2800
6
3000
79
3100
1
3200
2
3250
2
3300
2
3500
7
3600
3
3700
2
3750
1
3800
1
3900
2
4000
46
4200
5
4300
2
4400
1
4500
7
4620
1
4800
4
4900
1
5000
58
5050
1
5400
1
5500
4
5600
1
5700
1
5900
1
6000
26
6200
3
6300
1
6500
3
6600
2
6720
1
6800
1
6810
1
6900
1
7000
8
7200
2
7500
1
7580
1
7650
1
8000
12
8400
2
8500
1
9000
4
9200
1
9400
2
10000
30
10400
1
11765
1
12000
9
12400
1
13000
1
13510
1
14000
3
14200
1
15000
5
15600
1
17000
1
19400
1
20000
13
22000
1
22100
1
23250
1
24000
3
28050
1
30000
4
31500
1
33000
1
36000
1
40000
1
42000
1
45000
1
50000
7
60000
1
Sysmiss
6654
all kinds received from non-profit instititution
'What was the total value of all other in-kind gifts received from (…) in the last 12 months? (Non profit Institution)
(KShs)
Record the value of any other in-kind gift received by the household or any member of the household within the last 12 months. Other in-kind mean any other gift other than those recorded under R03 and R04. If it was a service indicate the estimated value of the service.
6270
6654
0
6152
40
1
50
1
90
1
100
4
120
2
200
6
235
1
250
4
300
10
350
2
380
1
400
2
450
1
500
8
560
1
600
2
700
1
720
1
750
1
800
1
900
2
1000
9
1200
1
1300
2
1340
1
1500
4
1600
4
1800
1
2000
6
2100
1
2400
1
3000
6
4000
1
4200
1
4800
1
5000
8
5760
1
6000
3
7000
2
8000
1
9000
1
10000
3
13600
1
14000
1
15000
1
20000
3
30000
1
Sysmiss
6654
all kinds received from government
'What was the total value of all other in-kind gifts received from (…) in the last 12 months? (Government)
(KShs)
Record the value of any other in-kind gift received by the household or any member of the household within the last 12 months. Other in-kind mean any other gift other than those recorded under R03 and R04. If it was a service indicate the estimated value of the service.
6270
6654
0
6098
80
1
120
6
144
1
150
5
160
1
180
3
200
8
213
1
220
1
240
6
250
7
280
2
300
8
307
1
340
1
380
1
399
1
400
3
450
4
460
2
480
6
485
1
500
9
520
1
530
2
550
1
570
1
600
8
630
1
640
1
650
2
720
1
738
1
750
1
785
1
800
3
850
1
863
2
900
1
960
1
1000
10
1070
1
1080
1
1200
5
1244
1
1300
1
1370
1
1400
1
1500
2
1800
5
2000
6
2250
1
2300
1
2400
1
2420
1
2500
2
2740
1
3000
6
3400
1
3600
2
4300
2
5000
3
6000
1
6300
1
10000
3
12000
1
20000
2
100000
1
Sysmiss
6654
all kinds received from corporate sector
'What was the total value of all other in-kind gifts received from (…) in the last 12 months? (Corporate Sector)
(KShs)
Record the value of any other in-kind gift received by the household or any member of the household within the last 12 months. Other in-kind mean any other gift other than those recorded under R03 and R04. If it was a service indicate the estimated value of the service.
6270
6654
0
6261
170
1
240
1
250
1
600
1
650
1
1000
2
3000
1
5000
1
Sysmiss
6654
all kinds received from outside kenya
'What was the total value of all other in-kind gifts received from (…) in the last 12 months? (Outside Kenya)
(KShs)
Record the value of any other in-kind gift received by the household or any member of the household within the last 12 months. Other in-kind mean any other gift other than those recorded under R03 and R04. If it was a service indicate the estimated value of the service.
6270
6654
0
6220
250
1
300
2
400
1
440
1
900
1
1000
2
1200
1
1500
2
1600
1
2000
1
2500
1
3000
2
4000
3
5000
3
6000
1
7000
1
10000
9
13000
1
15000
1
24000
1
32000
1
40000
1
50000
6
60000
1
100000
4
105000
1
Sysmiss
6654
given out gifts/cash
'Over the past 12 months, did household give out any gifts (in cash or in-kind) to any individuals/institutions?
Indicate if the household donated any kind of gift (in cash or in kind) to individuals or other household in the last 12 months.
9021
3903
0
1
1
yes
7239
2
no
1781
Sysmiss
3903
amount given in cash as gifts
'What was the total value of all cash given as a gift to individuals/institution in the last 12 months? (KShs)
Record the total amount given out in form of cash, cheque or money orders.
7247
5677
0
1215
1
4
2
4
5
1
10
4
15
1
20
14
24
2
30
8
40
10
50
82
60
9
70
4
75
1
80
13
90
3
96
2
100
214
110
1
120
24
130
2
140
3
150
87
160
1
175
1
180
10
190
1
200
372
210
3
216
1
220
6
225
1
230
2
240
15
250
43
270
1
280
2
288
1
300
258
305
1
310
1
320
4
336
1
340
3
350
24
360
11
380
3
390
1
400
132
420
3
430
1
440
1
450
19
460
2
480
11
500
527
510
1
520
5
530
1
540
1
550
7
560
3
570
1
580
3
590
1
600
128
620
1
624
1
640
1
650
4
660
1
680
3
700
77
720
2
730
1
731
1
744
1
750
6
780
1
800
80
820
1
840
2
850
2
860
1
870
1
880
1
890
2
900
24
920
1
940
1
950
3
960
7
980
1
1000
489
1080
1
1100
10
1140
1
1150
2
1160
1
1200
89
1240
1
1250
1
1300
17
1350
2
1380
1
1400
19
1425
1
1440
3
1450
1
1470
1
1500
166
1560
1
1600
23
1620
1
1650
1
1700
9
1720
1
1730
1
1750
3
1760
1
1800
28
1825
1
1840
1
1899
1
1900
1
1920
1
1930
1
1940
1
1960
1
2000
425
2085
1
2100
9
2120
1
2150
1
2160
1
2200
8
2240
2
2280
1
2300
5
2400
37
2420
1
2500
75
2550
1
2600
7
2700
2
2740
1
2800
12
2840
1
2880
1
2900
2
3000
291
3020
1
3040
1
3100
2
3200
7
3300
2
3350
1
3400
5
3430
1
3450
1
3490
1
3500
38
3600
26
3620
1
3700
1
3750
1
3800
3
3900
3
4000
145
4050
1
4200
4
4400
1
4480
1
4500
16
4550
1
4600
2
4700
1
4800
17
4900
1
4950
1
5000
306
5200
2
5300
2
5350
1
5400
2
5500
4
5800
2
5900
1
6000
168
6110
1
6120
1
6200
1
6300
1
6400
1
6500
4
6600
2
6650
1
6700
1
6720
1
6800
1
6960
1
7000
55
7100
1
7200
5
7300
1
7400
1
7500
4
7800
1
8000
65
8400
1
8440
1
8500
5
8640
1
8800
3
9000
17
9500
2
9600
8
9950
1
10000
203
10100
1
10400
1
10500
2
11000
8
11400
1
12000
89
12400
1
12500
1
13000
8
13500
1
13700
1
13920
1
14000
5
14400
3
15000
52
15100
1
15450
1
16000
7
16200
1
16500
1
16800
2
16900
1
17000
8
17500
1
17880
1
18000
27
18200
1
18600
1
19500
2
20000
102
20500
2
21000
1
21600
1
21630
1
22000
3
22500
1
23000
1
23650
1
24000
62
24200
1
25000
14
25500
1
26000
1
27000
3
27200
1
27500
1
28000
1
28800
1
29040
1
29200
1
30000
44
30200
1
31200
1
31700
1
32000
2
33400
1
34000
4
35000
8
36000
33
36600
1
37200
1
37500
1
40000
17
42000
2
43000
1
43600
1
45000
5
45200
1
45400
1
46000
2
47000
1
47800
1
48000
13
50000
34
51000
1
52000
1
54000
2
56500
1
59000
1
60000
22
60400
1
62000
1
64000
1
65000
1
66500
1
70000
7
71000
1
72000
8
75000
3
80000
9
81000
2
82000
1
84000
1
84500
1
89800
1
90000
2
91500
1
92000
1
95000
1
100000
21
101280
1
108000
1
109800
1
110000
1
111800
1
115600
1
120000
12
121500
1
130000
2
132000
1
140000
1
144000
1
150000
7
156000
1
156600
1
162000
1
180000
2
190000
1
200000
8
216000
1
260000
1
265000
1
300000
6
400000
1
500000
6
600000
1
800000
1
5000000
1
Sysmiss
5677
amount given in food as food
'What was the total value of all food given as a gift to individuals/institution in the last 12 months? (KShs)
Put the total value of all gifts given out in form of food donations in the last 12 months. If the respondents only remembers the amount in volumes (e.g. bags, debes, packets etc) use the prices for similar measures to estimate the values. An approximate value is sufficient if the respondent cannot recall the actual value. If none write zero.
7247
5677
0
500000
1480.79600730112
10412.2304954368
amount given in food as in kind
'What was the total value of all other in-kind gifts to individuals/institutions in the last 12 months? (KShs)
In this column enter the total value of any other donations not captured in column R07 and R08 over the period of 12 months. If none write zero.
7247
5677
0
4867
1
2
2
9
6
1
20
2
30
2
40
5
50
33
60
6
70
7
75
1
80
6
90
1
100
111
120
16
130
3
140
1
150
62
160
4
170
2
180
9
200
198
220
3
230
3
240
3
250
33
260
1
270
1
290
1
300
125
320
5
340
2
350
16
360
2
380
6
400
84
420
4
430
1
435
2
450
20
470
1
480
12
490
1
500
249
510
1
530
1
540
1
550
2
560
3
570
1
590
1
600
76
630
1
640
1
650
8
655
1
660
1
680
1
690
2
700
40
720
6
740
4
750
6
760
1
780
2
800
42
805
1
820
1
840
1
850
5
900
16
920
1
950
2
960
1
1000
215
1040
1
1050
2
1100
5
1145
1
1150
1
1160
1
1200
48
1260
1
1290
1
1300
2
1350
2
1360
1
1400
14
1450
1
1500
51
1600
12
1680
2
1690
1
1700
4
1750
1
1780
1
1800
13
1820
1
1850
1
1870
1
1900
1
2000
147
2086
1
2100
6
2200
3
2300
2
2360
1
2400
8
2500
18
2600
1
2700
1
2800
3
3000
102
3050
1
3200
2
3250
1
3300
2
3400
1
3500
9
3600
1
3650
1
3700
2
3840
1
4000
49
4100
1
4140
1
4200
1
4250
1
4400
1
4500
7
4560
1
4570
1
4800
4
4950
1
5000
95
5100
1
5160
1
5200
3
5450
1
5500
2
5600
2
6000
30
6200
1
6300
1
6400
1
6450
1
6500
1
6700
1
6800
1
7000
9
7200
1
7500
2
7800
1
8000
22
8130
1
8520
1
9000
1
9650
1
10000
40
10200
1
10500
1
11000
1
11300
1
12000
9
13000
4
13400
1
13800
1
14000
2
15000
11
15180
1
16500
1
16800
2
17600
1
18000
2
19600
1
20000
12
22000
1
22500
1
24000
3
24500
1
25000
1
25500
1
26400
1
26600
1
28000
1
29000
1
30000
10
33000
1
36000
1
40000
2
43000
1
45000
1
50000
8
60000
1
70000
1
80000
1
100000
4
124664
1
150000
1
180000
1
200000
3
300000
1
350000
1
500000
1
600000
1
1000000
1
Sysmiss
5677
12924
0
10.1180000698368
3410.73285087232
475.399997882368
414.489979650048
Cluster Number
12848
0
1
1339
666.823938801664
386.33700589568
hhld serial number 1 - 10?
12848
0
1
10
5.46199983620096
2.85900000985088
received any other income
Has any member of your household received any other income (NOT MENTIONED ELSEWHERE) in the past 12 months?
This question enables the interviewer to establish if any member of the household received any income not captured in the other sections. If none, write 2 in the box and go to the next section.
12848
0
0
4
1
yes
1457
2
no
11387
receive any regular income
Do any members of your household receive any regular income from savings, interest or other investment income?
If any member(s) receive any regular income (e.g. interest from bank deposits, dividends from holding of corporate ownership of shares, profits from investments) record 1 and proceed to S03, if no record 2 and skip to S04.
1461
11387
0
6
1
yes
274
2
no
1181
Sysmiss
11387
amount hhld receive
How much does your household receive in savings, interest or other investment income? (KShs)
Under this column record the total amount received by all members of the household from the sources in S02.
280
12568
0
40
2
1
4
1
90
1
99
1
100
1
120
1
150
1
200
7
210
1
230
1
250
3
290
1
300
1
382
1
400
7
450
1
500
4
530
1
600
2
680
1
700
1
750
1
800
1
850
1
900
2
1000
6
1100
1
1200
4
1237
1
1300
1
1500
6
1600
1
1800
2
1900
1
2000
10
2100
1
2144
1
2200
1
2300
2
2400
2
2500
3
2650
1
2700
1
2800
1
3000
10
3500
3
3600
2
3700
1
3800
1
4000
7
4182
1
4200
2
5000
14
6000
7
6300
1
7000
3
7500
1
8000
9
9500
2
10000
7
10700
1
11000
2
12000
5
12800
1
13000
2
13200
1
14000
1
14550
1
15000
3
15300
1
15600
1
18000
2
20000
9
20600
1
21200
1
23000
2
24000
3
25000
2
30000
3
36000
2
40000
2
40626
1
42000
1
46000
1
50000
3
54000
1
60000
4
61200
1
65000
1
70000
1
72000
1
84000
2
100000
5
156000
1
170000
1
180000
1
200000
2
240000
1
250000
1
300000
1
360000
1
400000
1
1000000
1
Sysmiss
12568
amount member receives in pension
Do any members of your household receive any regular income from a pension?
1461
11387
0
7
1
yes
208
2
no
1246
Sysmiss
11387
amount of pension
In this column enter the total amount received by the household from pension incomes i.e. sum of all the amounts received by all persons, who receive pension, of this household.
215
12633
0
10
300
1
350
1
400
1
500
5
560
1
600
1
691
1
700
3
766
1
800
2
830
1
900
2
925
1
992
1
994
1
1000
4
1030
1
1100
2
1200
2
1260
1
1280
1
1345
1
1400
1
1500
10
1568
1
1600
1
1700
2
1800
1
1940
1
2000
13
2080
1
2100
1
2200
2
2250
1
2300
3
2400
1
2500
5
2505
1
2637
1
2700
1
2712
1
2722
1
2800
1
2970
1
3000
14
3017
1
3055
1
3100
1
3200
2
3580
1
3600
3
3666
1
4000
7
4182
1
4340
1
4350
1
4500
3
5000
14
5407
1
5432
1
5575
1
5670
1
5732
1
6000
8
6100
1
6257
1
6480
1
6500
1
7000
3
7400
1
8000
5
8375
1
8400
1
8750
1
8880
1
9000
1
9700
1
9999
1
10000
5
11000
1
11600
1
12000
2
12424
1
12911
1
13000
1
15000
1
17000
1
17763
1
20000
4
23000
1
24000
1
26400
1
30000
1
32000
1
36000
1
48000
1
50000
1
51120
1
60000
2
78446
1
112000
1
130000
1
150000
1
190000
1
Sysmiss
12633
amount member receives in rental property
Do any members of your household receive any regular income from rental of property
1461
11387
0
7
1
yes
616
2
no
838
Sysmiss
11387
amount of rental propert on residential
How much does your household usually receive in rental income per month? (RESIDENTIAL)
KShs
623
12225
0
222
1
1
6
1
100
1
150
1
200
4
250
2
300
10
360
1
400
7
450
2
500
10
600
10
666
1
700
5
750
2
800
8
833
1
900
6
1000
19
1080
1
1100
3
1200
13
1250
2
1300
2
1400
3
1500
8
1550
1
1600
5
1650
1
1700
1
1750
1
1800
4
2000
16
2100
2
2250
1
2400
8
2500
9
2600
1
2700
1
2900
1
3000
17
3150
1
3200
3
3350
1
3400
1
3500
5
3600
4
3750
1
4000
15
4100
1
4200
1
4500
5
4600
1
4700
2
4800
6
5000
10
5100
2
5400
1
6000
14
6200
1
6500
1
6600
1
7000
6
7200
3
7900
1
8000
9
8400
1
8600
1
9000
2
9330
1
9600
1
9900
1
10000
16
10500
2
10800
1
11000
2
12000
11
12500
1
13000
1
13200
1
14000
3
14400
3
14800
1
15000
10
15600
1
16000
2
17000
2
17800
1
17900
1
18000
1
19200
1
20000
6
22000
1
24000
3
27000
2
28000
1
30000
2
33600
1
35000
2
40000
4
45600
1
48000
2
54000
1
60000
5
70000
1
74900
1
78000
1
96000
1
100000
1
120000
1
143000
1
144000
1
180000
1
200000
2
564000
1
1400000
1
Sysmiss
12225
amount of rental propert on commercial
How much does your household usually receive in rental income per month?(COMMERCIAL)
KShs
623
12225
0
489
72
1
100
1
150
1
200
4
300
5
350
2
400
2
500
10
600
3
700
4
800
3
850
1
900
2
1000
11
1100
1
1200
3
1400
2
1500
4
1600
2
1700
1
2000
6
2500
4
2800
1
3000
9
3600
1
4000
4
4200
1
4500
1
5000
5
6000
4
7000
2
7200
1
8000
4
8400
1
9000
1
9500
1
10000
2
10500
1
10800
1
11000
1
12000
1
13500
1
14000
1
15000
1
18000
1
19900
1
20000
2
21100
1
21600
1
22000
1
25000
1
30000
1
36000
1
40000
1
45000
1
150000
1
300000
1
385000
1
1700000
1
Sysmiss
12225
amount of rental propert on land
How much does your household usually receive in rental income per month? (LAND)
KShs
623
12225
0
503
50
1
66
1
100
6
125
2
130
1
138
1
140
1
141
1
150
1
167
3
170
2
200
4
225
1
250
4
300
1
333
1
340
1
400
2
500
4
590
1
600
1
670
1
700
1
750
1
800
1
1000
10
1200
2
1250
2
1300
1
1500
2
1625
1
1800
1
2000
9
2400
2
2500
4
2666
1
2800
1
3000
7
3400
1
4000
4
5000
7
6000
3
8000
4
10000
3
12000
1
12500
1
14000
1
15000
1
16000
1
19000
1
25000
1
28000
1
30000
3
Sysmiss
12225
amount of rental propert on sub soil assets
How much does your household usually receive in rental income per month? (SUB SOIL ASSETS)
KShs
623
12225
0
617
600
1
700
1
800
2
1500
1
2000
1
Sysmiss
12225
amount of rental propert on other property
How much does your household usually receive in rental income per month? ('OTHER PROPERTY (Specify))
KShs
623
12225
0
596
150
1
250
1
260
1
300
1
500
1
900
1
1050
1
1200
3
1700
1
1750
1
2000
1
2800
1
3000
1
4000
1
5000
1
8000
1
10000
1
15000
1
17000
1
18000
1
25000
1
36000
1
60000
1
180000
1
800000
1
Sysmiss
12225
receive any regular income of any other type
Do any members of your household receive any regular income of any other type?
Sum (or aggregate) of all incomes (monthly) from rental properties as in S06.
1461
11387
0
13
1
yes
132
2
no
1315
3
1
Sysmiss
11387
type of income - 1
What type of income? (Describe) Type 1
The column seeks to establish if there is any other source income other those recorded in S02 and S06. These sources may include incomes from copyrights (e.g. books, music, etc) royalties, artistic assets, staggered payments from insurance policy, court judgement etc. If NO then next section.
115
0
1
4
20000
1
ALLOWANCE FRM CHURCH
1
BOAT FOR HIRE
1
BREWING CHANGAA
1
BROTHER's HELP
1
C0NTRIBUTION
1
CARETAKER
1
CASH FROM TEA
1
CHANGAA BREWING
1
CHARCOAL BURNING
2
CHURCH SUPPORT
1
COFFEE DUES
1
CONSULTATION IN MED
1
Commission
1
DEPENDANT'S MONEY
1
DIVIDEND
2
DIVIDENDS
6
DRIVER
1
EMPLOYMENT
1
FARM LABOUR
1
FARM LABOURER
6
FARMING
3
FROM HUSBAND
3
FROM SONS
1
From Husband
1
GRATUITY
1
HOLY ROSARY SISTERS
1
HUSBAND
1
HUSBAND's ASSISTANCE
1
1
INCOME FROM HUSBAND
3
INCOME FROM WIFE
1
KIOSK
1
LEASING W-MACHINE
1
LECTURING PARTTIME
1
1
MATATU
1
MERRY-G0-ROUND CASH
1
MERRY-GO-ROUND
1
MILK SALES
1
Mechanic part-time
1
NATIONAL EXAM MARKIN
1
NURSERY TEACHER
1
OX PLOUGH
2
PART TIME JOB
1
PART-TIME CLEANER
1
1
1
POWERSAW
1
RENTING LAND
1
REPAIRING CLOTHES
1
RETAIL KIOSK
1
RETIAILCLOTHINGSALER
1
SALARY
1
SALE OF MILK
1
SALE OF MTUMBA
1
SORTING ALLOWANE
1
TAILORING
1
TEA
2
TEA BONUS
2
TEA CASH CROP SALES
1
TEA EARNINGS
1
TEA FARMING
1
TEA LEAVES SALES
1
TEA PICKING
1
TEA PLANTATION
1
TEA SELLING
1
TEACHING
1
TREE NURSERY
1
TREES
1
UNCLE'S GIFT
1
car hire services
1
clinic
1
1
farming
3
from employed son
1
group contributions
1
leasing land
1
money from husband
1
poole
1
pservice
1
registration of doc
1
salary
1
selling firewood
2
spouse income
1
tea
1
tea farming
1
type of income - 2
What type of income? (Describe) Type 2
The column seeks to establish if there is any other source income other those recorded in S02 and S06. These sources may include incomes from copyrights (e.g. books, music, etc) royalties, artistic assets, staggered payments from insurance policy, court judgement etc. If NO then next section.
10
0
0
5
1200
1
3000
1
CO-OP SOCIETY DIVIDN
1
1
REMITANCE
1
amount received in income - 1
How much does your household usually receive from this other income(s) per month in KSHS? Type 1
Identifies the type of income recorded under S10. List the main 2; this should be the types that bring in the highest incomes.
124
0
1000
12
10000
6
10440
1
1161
1
1200
2
12000
1
130000
1
135
1
135000
1
150
1
1500
7
15000
2
1600
2
17000
1
18000
1
200
2
2000
18
20000
2
208.3
1
21600
1
229350
1
24000
2
30
1
300
3
3000
6
3333
2
350
1
3500
2
36000
1
38000
1
400
1
4000
3
450
1
500
10
5000
4
50000
1
5515
1
5700
1
600
3
6000
3
60000
1
700
1
7000
1
70000
1
720
1
80
1
800
1
8000
3
9000
2
amount received in income - 2
How much does your household usually receive from this other income(s) per month in KSHS? Type 2
Identifies the type of income recorded under S10. List the main 2; this should be the types that bring in the highest incomes.
9
0
0
8
2000
1
any other non regular income
Sum (aggregate) of all incomes (monthly) from sources under S09.
1461
11387
0
6
1
yes
510
2
no
945
Sysmiss
11387
type of income - 1
What type of income (Describe) Type 1
496
0
1
1
10
2
100000
1
1120
1
2700
1
3
1
3000
1
5000
1
A.R.T
1
ADM TRD MEDICINE
1
1
AID FROM OUT COUNTRY
1
ALMONY
1
ANIMAL CART
1
ASWEKAA BUSINESS
1
ATWECH WOMEN GROUP
1
B0NUS FROM TEA
2
BAMBUA TAFRIJA
1
BANANA SELLING
2
BODA BODA GRP. INCOM
1
BONDS
1
BONUS
2
BONUS FROM SOCIETY
1
BONUS FROM TEA
12
BONUS FROM TEA SALES
1
BREWING
1
BRICK MAKING
1
BRICK SALES
1
BRICKS
1
BUCH NYIMINE END YR.
1
BUILDING & CONSTR.
1
1
CAR SALE
1
CASUAL
5
CASUAL EMPLOYMENT
1
CASUAL FARM LABOURER
2
CASUAL LABOUR
35
CASUAL LABOURER
5
CASUAL ON HIRE,FARMS
1
CASUAL WAGE
1
CASUAL WAGES
7
CASUSL LABOURER
1
CHARCOAL BURNING
5
CHARCOAL-BURNING
1
CHILD WELFARE BENEFI
1
CHOPPING FIREWOOD
1
CIRCUMCISER
1
CO-OP DIVIDEND
1
CO-OP. DIVIDEND
1
COFEE INCOME
1
COFFE PAYMENTS
2
COFFEE EARNINGS
1
CONTRACT JOBS
2
CONTRACT LABOUR
1
COPERATIVE SHARES
1
COUNSELLING
1
Carcoal Burner
1
1
Charcoal Burner
4
Charcoal Selling
1
Closed an Account
1
DAIRY
1
DIV-UKULIMA CO-OP
1
DIV-UKULIMA SACCO
1
DIVIDEND
10
DIVIDEND FROM SHARES
1
DIVIDEND-MSC-MUMIAS
1
DIVIDENDS
15
DIVIDENDS-UKULIMA
1
DIVIDENT
8
DIVIDENTS
1
DOWRY
2
Dividends
1
Divident
2
Dividents
3
E.C.K PRESIDING OFF
1
EMPLOYMENT
1
END YEAR INCOME
3
EXAM INVIGILATION
1
FACILITATION
1
FACTORY MAINTANCE
1
FARM LABOUR SERVICES
1
FARM LAND LEASING
1
FARM RENTED
1
FARM-LABOURER
1
FARMING
2
FARMING CONTRACT
2
1
FOOD KIOSK COOK
1
FRIEND
1
FROM A TEA FARM
1
FROM MAIZE SALES
1
FROM SUGARCANE
1
FROM- INLAW
1
Fishing
3
Fron son
1
GIFT
1
GIFT FROM DAUGHTERS
1
1
GOLDEN HANDSHAKE
1
GRATUITY
1
GROUP SOCIAL WELFARE
1
HANDICRAFT
1
HANDOUT
1
HARAMBEE
1
1
HELP FROM DAUGHTER
1
HELP FROM SON
1
HERDING COWS TO MKT
1
HIRING OUT OXEN
2
HOTEL SERVICES(COOK)
1
1
HUSBAND
1
INCOME FROM HUSBAND
6
INTEREST EARNINGS
1
JIRANI GROUP
1
JOMOYIE WOMEN GRP.
1
JUA KALI
1
KATECO-DIVIDEND
1
KCB-DIVIDENDS
1
KINDA EMAKEYO END YR
1
KINDA WOMEN GROUP
3
KINDA WOMEN GRP
1
Kenya Women Trust
1
LABOUR
4
LAND BROKERAGE
1
LAND LEASE
1
LAND LEASE INCOME
2
LAND LEASING
1
1
LEASE 0F LAND
1
LEASE A FARM.
1
LEASE OF COFFEE TREE
1
LEASE OF FARM
1
LEASE OF LA ND
1
LEASE OF LAND
14
LEASING FARM LAND
1
LEASING OXEN
1
LEAVE ALLOWANCE
1
LOTTERY
1
1
MARKING KCSE EXAMS.
1
MATATU INDUSTRY
1
MATATU OPERATOR
1
MERRY GO ROUND
15
MERRY-GO-ROUND
1
MONEY FROM HUSBAND
1
MOSONRY
1
MUSCO-SHARES
1
MWALIMU
1
MWALIMU SACCO
2
Merry Go Round
1
NYALEGO MOYIE
1
NYAMRERWA GRP.
1
NYI SAKWA END YEAR
1
1
OGONGO WOMEN GRP.
1
OSIEPE GROUP
1
OXEN PLOUGHING
1
P. FROM CHARCOAL
1
PART TIME JOB
1
PASTORS ALLOWANCES
1
PAYEMENT OF DEBT
1
PLAITING
1
POLLING AGENT
1
POULTRY
1
POWER SAW
1
PRAYING FOR PEOPLE
1
PRIVATE CAR HIRE
1
PRIVATE SERVICES
1
PROJECTS
1
Proceeds from Ardeny
1
RADIO,TABLE,
1
REAL ESTATE AGENT
1
REGULAR ALLOWANCE
1
REMMITANCE
1
RENTAL HOUSE
1
RENTAL OF FARM
1
RENTAL OF FARM LAND
1
REPAIR WEIGH MACHINE
1
1
1
RID WIYI END YEAR
1
SACCO BONUS
2
SALARY FROM EMPLOYER
1
1
SALE (COMPANY ASSET)
1
SALE OF ARROWROOTS
1
SALE OF AVOCADOES
1
SALE OF BNNS & PPWS
1
SALE OF CROPS
1
SALE OF FARMLAND
1
SALE OF FODDER
1
SALE OF FRENCH BEANS
1
SALE OF GROUP PROPTY
1
SALE OF KALE SEEDLIS
1
SALE OF LAND
1
SALE OF PASTURE
1
SALE OF PLOT
1
SALE OF TIMBER
1
SALE OF TREE
2
SALE OF TREES
2
SALE OF WIMBI
1
SALE OF WOOD
1
SAND HARVESTING
1
SELF HELP GROUP
1
1
SELL 0F A COW
1
SELL OF CHARCOAL
1
SELL OF FARM
1
SELL OF FODDER
1
SELL OF LAND
1
SELL OF SISAL ROPES
1
SELLING BANANAS
1
SELLING CHANG'AA
1
SELLING FIREWOOD
1
SELLING OF FIREWOOD
1
SELLING PAPYRUS
1
SELLING SAND
1
SELLING firewood
1
SEMINARS
1
SHARE OF WOMEN GROUP
1
SHORT TIME CONTRACT
1
SIAYA TRADERS SACCO
1
SOCIAL WELFARE
1
SOCIAL WELFARE GROPS
1
SOCIAL WELFARE GRP
1
SOLD CHICKEN
1
SOLD FARM
1
SOLD HARVESTED MAIZE
1
SOLD LAND
1
SOLD MAIZE GRAIN
1
SOLD MAIZE GRAINS
1
SOLD SHARES
1
SPORTS-TORNAMENT
1
ST.JOSEPH END YR.
1
STIPENDS
1
STIPENT
1
SUBLETTING LAND
1
SUGARCANE BONUS
1
Sale of hides&skins
1
1
TAILORING
1
2
TEA BONUS
11
TEA CASH CROP BONUS
1
TEA LEAVES BONUS
1
TEA PICKING
1
TEA SALE BONUS
1
TEA SALES BONUS
1
TENDER
1
TIMBER SALES
1
TIP AT WORK
1
TIPS-60000
1
TRADE
1
TREATMENT USING HERB
1
TREE SELLING
1
1
TUITION
2
TUSHAURIANE W. GRP.
1
TYPING
1
UKWALA WOMEN GRP.
1
WAGE & S/ALLOWANCE
1
WAGES
2
WELFARE GROUP
1
WELL DIGGING
1
WESTERN UNION
1
WOMEN GROUP
1
WOOD CARVINGS
1
WORK RELATED
1
Welfare group
1
YAW PACHI END YR. IN
1
accident compensatin
1
agricultural
1
building&const
1
burning charcoal
1
carsual-farming
1
cash
1
casual
5
cattle business
1
daughter
1
devidedes (KBL)
1
divided
1
dividends
3
farm-labourer
1
gift from relative
1
hair dressing
1
harvesting maize
1
help from a sister
1
help from brother
1
help from son
1
labour constructor
1
labour salary
1
lease farm
1
lease land
3
lease of farm
2
lease of land
9
leasing
1
masonary
1
proceed from land
1
retail shop
1
retirement benefits
1
sale of sugarcane
1
selling maize
1
small scale busines
1
son
1
standard sacco
1
weeding sugarcane
1
wheelbarrow for hire
1
women group
1
type of income - 2
What type of income (Describe) Type 2
87
0
0
27
0000000
1
2400
1
2990
1
3000
1
40000
1
500
1
5000
1
800
1
CASUAL LABOUR
4
CONTRACT
1
DIVIDENDS
1
DIVIDENT
2
FARM LABOURER
1
Firewood Collecter
3
Firewood Selling
1
GARDENING
1
GIFT
1
GIVEN BY UNTIE
1
GK
1
GRANT
1
HERBALIST
1
HUNTING
1
KCB DIVIDEND
1
1
MERRY GO ROUND
9
POTTERY
1
SALARY
1
SALE OF FARM
1
SALE OF MACADAMIA
1
SALE OF MAIZE
1
SALE OF ROPES
1
SALE OF SEEDLINGS
1
SALE OFTREES & CROPS
1
SELL OF SEEDLINGS
1
SELLING FIREWOOD
2
SOCIAL-WORK
1
SPEAKER
1
STONES SALES
1
TABLE BANKING
1
TRANSPORT OF GOODS
1
VETERINARY
1
WAGES AS CASUAL
1
brother
1
food vendor
1
trowlley for hire
1
amount received in non regular income
How much in total did the HH receive in form of this income(s) (Non Regular) in the last 12 months? (KShs)
516
12332
0
19
1
1
65
1
100
2
150
2
200
6
220
1
234
1
252
1
260
1
300
8
400
3
450
1
500
11
525
1
550
1
600
5
700
5
750
1
800
8
900
3
960
1
1000
22
1080
1
1120
1
1200
13
1250
1
1290
1
1300
2
1400
4
1450
1
1500
14
1540
1
1600
6
1700
1
1800
7
1900
1
2000
20
2200
1
2250
1
2300
1
2350
1
2400
9
2500
6
2600
1
2800
1
2880
1
2900
1
3000
23
3020
1
3150
1
3228
1
3400
4
3500
3
3600
3
3800
3
3936
1
4000
21
4200
1
4320
4
4500
5
4600
1
4800
1
5000
29
5080
1
5400
2
5690
1
5700
1
5900
1
6000
12
6400
1
6410
1
6500
1
7000
5
7100
1
7200
5
7300
1
7500
1
8000
10
8333
1
9000
4
9300
1
10000
19
10376
1
10800
1
11000
3
11300
1
11500
1
12000
15
12200
1
12350
1
12500
1
13000
4
13700
1
14000
3
14100
1
14150
1
14200
1
14400
1
15000
5
15600
2
15700
1
16000
1
16350
1
17000
1
17280
1
18000
8
20000
13
22000
1
22960
1
24000
3
24500
1
25000
3
25250
1
26000
2
26400
1
27000
2
30000
4
31200
1
32000
2
33000
1
35000
1
36000
6
39000
1
40000
6
40500
1
43200
1
45000
1
50000
3
51030
1
52000
1
52200
1
53000
1
58752
1
60000
2
68000
1
70000
1
74300
1
80000
1
80500
1
82000
1
86400
1
95000
1
100000
3
120000
1
140000
1
150000
1
176454
1
200000
2
276000
1
280000
1
420000
1
500000
1
600000
1
1200000
1
Sysmiss
12332
12848
0
11.0999998824448
3922.60000677888
529.49296349184
462.609987928064
Serialised cluster number
82506
0
1
1339
613.914974879744
349.036993314816
Serialised HH number
82506
0
1
10
5.43699977109504
2.85499998601216
Shock
CODE
82506
0
101
Drought/Floods
5405
102
Crop Diseases/Crop Pests
3376
103
Livestock died/Stolen
4845
104
Household business failure,Non agricultural
3628
105
Loss of Employment, Salaried
3333
106
End of Regular Assistance
2988
107
Large in sale prices for crops
3499
108
Large rise in prices for Food
6587
109
Large rise in agricultural input prices
3876
110
Severe water shortage
4035
111
Chronic/Severe illness/accident of HH member
5163
112
Birth in Household
2917
113
Death of Household Head
3025
114
Death of Working Member
2821
115
Death of other family member
5083
116
Break-up of Household
2928
117
Jailed
2847
118
Fire
2827
119
Carjacking/Robbery/Burglary/Assault
3188
120
Dwelling Damaged
2818
121
HIV/AIDS
2684
122
Other1
2756
123
Other2
1877
severely affected
Over the past five years, was your household severely affected negatively by any of the following events?
GO THROUGH ENTIRE LIST BEFORE PROCEEDING TO T03.
82506
0
0
25
1
yes
25657
2
no
56824
Significant shocks Household has experienced
Rank the three most significant shocks you experienced
25682
56824
1
Most Severe
11189
2
Second Most Severe
8499
3
Third Most Severe
5969
9
Not Stated
25
Sysmiss
56824
estimated value of shock
What was the estimated value lost due to this shock? (KShs)
25682
56824
0
9999999
26986.437148672
140404.737441792
shock caused reduction in income
Did [THIS SHOCK] cause a reduction in household income and/or assets?
25682
56824
1
income loss
10665
2
asset loss
3798
3
loss of both
7246
4
neither
3927
9
Not stated
46
Sysmiss
56824
who affected by shock
'[THIS SHOCK] affected: [READ]
25682
56824
1
own hh only
8828
2
some other hh too
5692
3
most hh in community
4522
4
all hh in community
6592
9
Not Stated
48
Sysmiss
56824
years shock occured
How long ago did [THIS SHOCK] occur? (YEARS)
22156
60350
1
5575
2
6138
3
4814
4
2992
5
2627
9
10
Sysmiss
60350
months shock occured
How long ago did [THIS SHOCK] occur?(MONTHS)
10853
71653
1
988
2
1469
3
1159
4
1338
5
1007
6
1837
7
552
8
1042
9
629
10
446
11
334
99
52
Sysmiss
71653
response to shock - 1
What did you do in response to [THIS SHOCK] to try to cope / regain your former welfare level? 1st
[LIST UP TO 3 BY ORDER OF IMPORTANCE, CODES AT RIGHT.]
25411
57095
1
25
1
spent cash savings
6621
2
217
3
394
4
sold farmland
146
5
rented out farmland
160
6
sold animals
2596
7
sold more crops
467
8
2718
9
236
10
started a new business
498
11
54
12
350
13
borrowed money from money
675
14
borrowed money from money lender
118
15
127
16
159
17
202
18
received help from international ngo
99
19
535
20
2115
21
reduced food consumption
1734
22
consumed lower cost, but less preferred foods
664
23
reduced non-food expenditures
594
24
spiritual effort - prayer, sacrifices, consulted diviner
1781
25
other
2151
response to shock - 2
What did you do in response to [THIS SHOCK] to try to cope / regain your former welfare level? 2nd
[LIST UP TO 3 BY ORDER OF IMPORTANCE, CODES AT RIGHT.]
13506
69000
1
spent cash savings
1258
2
157
3
241
4
sold farmland
71
5
rented out farmland
83
6
sold animals
1142
7
sold more crops
260
8
1246
9
289
10
started a new business
279
11
38
12
172
13
borrowed money from money
638
14
borrowed money from money lender
100
15
75
16
222
17
223
18
received help from international ngo
144
19
554
20
1682
21
reduced food consumption
1153
22
consumed lower cost, but less preferred foods
1336
23
reduced non-food expenditures
1028
24
spiritual effort - prayer, sacrifices, consulted diviner
804
25
other
311
Sysmiss
69000
response to shock - 3
What did you do in response to [THIS SHOCK] to try to cope / regain your former welfare level? 3rd
[LIST UP TO 3 BY ORDER OF IMPORTANCE, CODES AT RIGHT.]
6071
76435
1
spent cash savings
272
2
47
3
77
4
sold farmland
15
5
rented out farmland
18
6
sold animals
282
7
sold more crops
48
8
376
9
58
10
started a new business
90
11
44
12
74
13
borrowed money from money
249
14
borrowed money from money lender
64
15
38
16
139
17
86
18
received help from international ngo
73
19
353
20
607
21
reduced food consumption
522
22
consumed lower cost, but less preferred foods
722
23
reduced non-food expenditures
1199
24
spiritual effort - prayer, sacrifices, consulted diviner
534
25
other
84
Sysmiss
76435
82506
0
11.0999998824448
3922.60000677888
475.60001585152
404.550989119488
Serialised cluster number
14149
0
1
1339
664.564047806464
389.935987163136
Serialised HH number
14149
0
1
10
5.45400012406784
2.85599990808576
14149
0
1
2
1.65900007243776
0.474
4827
9322
0
14
1.34899998654464
0.876
'What are the names of the persons or institutions from whom you or anyone else in your household borrowed over the past 12 months?
LIST ALL NAMES BEFORE GOING TO THE NEXT QUESTION.
The names of person(s) or institutions who lend to the members of the household. E.g. if somebody from the household borrowed from a friend from outside the household called John, while another member borrowed from KCB then list John and KCB.
4695
0
CODE SOURCE OF LOAN
USE CODES AT LOWER RIGHT
Using the codes provided (lower right of the page) indicate the code of the source of the loan. E.g. 01 for KCB and 07 for John
4827
9322
1
99
1
COMMERCIAL BANKS
229
2
MICRO-FINANCE INST
195
3
BUILDING SOC /MORTGAGE
11
4
INSURANCE COMPANIES
6
5
SACCOS
646
6
OTHER FINANCIAL INST
67
7
2230
8
GROCERY/LOCAL MERCHANT
532
9
MONEY LENDER (Shylock)
89
10
EMPLOYER
120
11
RELIGIOUS INST
66
12
NGO
9
13
SELF-HELP GROUPS
474
14
OTHER (Specify
147
99
Not stated
6
'Which house-hold member was respons-ible for the loan?
ID CODE
Record ID code of the person who borrowed. The ID Code should correspond to the source from which the member borrowed. If the person borrowed from more than one source indicate his/her ID Code against all the sources.
4827
9322
1
99
1.431000055808
3.77900012404736
Reason for not asking loan is a difficult question; so do probe to get an accurate response. Do not lead respondent. Let respondent tell interviewer main use of loan even if loan had several uses. Establish the purpose for which the loan was borrowed. Thus if a member borrowed for purposes of buying land, record 4 in the row corresponding to his ID Code.
4827
9322
1
99
1
Subsistence needs
1698
2
Medical cost
715
3
School fees
804
4
Ceremony/Wedding
128
5
Purchase land
101
6
Purchase agricultural inputs
280
7
Other business inputs
542
8
Purchase agricultural Machinery
11
9
Purchase/Constructioion of dwelling
208
10
335
99
Not Stated
5
How much was borrowed?
ENTER THE VALUE OF ITEMS ACQUIRED ON CREDIT
4827
9322
0
8000000
36874.4517861376
234364.084420608
When did you get the loan?
Indicate the month and the year when the member acquired the loan, e.g. if a person got the loan in August 2004, then put 08 in the for the month and 2004 for the year.
4827
9322
1
99
1
JAN
567
2
FEB
449
3
MAR
371
4
APR
452
5
MAY
418
6
JUN
412
7
JUL
362
8
AUG
486
9
SEP
340
10
OCT
257
11
NOV
315
12
DEC
361
When did you get the loan?
Indicate the month and the year when the member acquired the loan, e.g. if a person got the loan in August 2004, then put 08 in the for the month and 2004 for the year.
4819
9330
3
2006
1983.7019488256
205.032997781504
Rate of interest per annum
1637
12512
0.03
800
20.0689997316096
51.4679990386688
Repayment period of loan in months
Duration within which the loan was to be re-paid. If for example the loan was to be paid within 3 years, put 36 in the 1st cell of U10.
3478
10671
1
60
9.2110002847744
11.4119998963712
How much is outstanding (awaiting to be repaid)(KShs)
(GO TO NEXT LOAN. WHEN ALL LOANS, DONE »U12)
Record the balance (of the initial loan) that is still unpaid e.g. if the loan was Ksh. 100,000 and Ksh. 40,000 has already been paid back then the outstanding amount is 100,000-40,000 = 60,000.
4827
9322
0
7000000
22313.378512896
155182.268678144
'During the last 12 months, did you try to borrow from someone outside the household or from an institution and were turned down?
IF =3 END INTERVIEW
If a member of the household had during the last 12 months attempted to borrow (from outside the household) but was denied a loan. If yes, put 1. If no put 2 and skip to U14. If still waiting for results put 3 move to next Section.
9322
4827
1
9
1
Yes
805
2
No
8326
3
still waiting
139
9
Not Staed
52
'Who turned you down? (1st)
LIST UP TO 2.
Using the codes provided (lower right) list the code of the individual/institution who turned down the loan request to the member. E.g. if a friend and a bank say Barclays turned the member down put 4 in the 1st cell and 10 in the 2nd cell.
803
13346
1
14
1
COMMERCIAL BANKS
58
2
MICRO-FINANCE INST
46
3
BUILDING SOC /MORTGAGE
4
4
INSURANCE COMPANIES
2
5
SACCOS
49
6
OTHER FINANCIAL INST
17
7
452
8
GROCERY/LOCAL MERCHANT
54
9
MONEY LENDER (Shylock)
23
10
EMPLOYER
18
11
RELIGIOUS INST
5
12
NGO
9
13
SELF-HELP GROUPS
45
14
OTHER (Specify
21
99
Not stated
0
'Who turned you down? (2nd)
LIST UP TO 2.
Using the codes provided (lower right) list the code of the individual/institution who turned down the loan request to the member. E.g. if a friend and a bank say Barclays turned the member down put 4 in the 1st cell and 10 in the 2nd cell.
182
13967
1
14
1
COMMERCIAL BANKS
7
2
MICRO-FINANCE INST
12
3
BUILDING SOC /MORTGAGE
2
4
INSURANCE COMPANIES
0
5
SACCOS
6
6
OTHER FINANCIAL INST
4
7
44
8
GROCERY/LOCAL MERCHANT
47
9
MONEY LENDER (Shylock)
19
10
EMPLOYER
10
11
RELIGIOUS INST
2
12
NGO
3
13
SELF-HELP GROUPS
24
14
OTHER (Specify
2
99
Not stated
0
'Why did you not attempt to borrow in the last 12 months? (1st)
[WRITE UP TO TWO ANSWERS IN ORDER OF IMPORTANCE.]
For each member who answered NO in U12 list a maximum of 2 reasons why he/she never tried to borrow. The 1st reason should be the major one while the 2nd should be the second most important.
8320
5829
1
9
1
No need
2489
2
Believed would be refused
768
3
Too expensive
986
4
Too much trouble for what it is worth
682
5
Inadequate collateral
1308
6
Do not like be in debt
953
7
Do not know any lender
839
8
Other (specify)
291
9
Not Stated
4
'Why did you not attempt to borrow in the last 12 months? (2nd)
[WRITE UP TO TWO ANSWERS IN ORDER OF IMPORTANCE.]
For each member who answered NO in U12 list a maximum of 2 reasons why he/she never tried to borrow. The 1st reason should be the major one while the 2nd should be the second most important.
3643
10506
1
9
1
No need
209
2
Believed would be refused
362
3
Too expensive
494
4
Too much trouble for what it is worth
575
5
Inadequate collateral
589
6
Do not like be in debt
946
7
Do not know any lender
365
8
Other (specify)
101
9
Not Stated
2
14149
0
11.0999998824448
3922.60000677888
541.336973344768
474.542984134656
13158
0
1
1339
668.085988098048
386.480014884864
hhld serial number 1 - 10?
13158
0
1
10
5.46199983620096
2.85999993192448
Area of residence
13158
0
1
2
1
Rural
8475
2
Urban
4683
Number of people in household
13158
0
1
29
5.05199990931456
2.81100005933056
Sum total of adult equivalent scales (Country-specific scales)
13158
0
1
24.6799994454016
3.99499973361664
2.18099999571968
Sum total of adult equivalent scales (FAO scales)
13158
0
0.73
23.03000051712
3.9189999517696
2.18899987562496
Household weighting coefficient
13158
0
11.0999998824448
3922.60000677888
530.340011573248
465.383999930368
Population weighting coefficient
13158
0
11.0999998824448
31785.6000507904
2699.08009025536
2888.76883083264
Adult equivalent (COUNTRY SPECIFIC) population weighting coefficient
13158
0
11.0999998824448
24514.6448822272
2141.20695595008
2290.47183343616
Bread and cereals purchased
13158
0
0
396285.72721152
7861.79737780224
10630.815809536
Bananas and tubers purchased
13158
0
0
96203.5697319936
2066.09301110784
3799.16969312256
Poultry purchased
13158
0
0
275835.71820544
646.678998679552
3960.33699872768
Meats purchased
13158
0
0
191625
5451.47884404736
8826.30677495808
Fish and seafood purchased
13158
0
0
82907.1428681728
1453.64896186368
3625.82682632192
Milk, cheese and eggs purchased
13158
0
0
1530644.30370816
5043.79685732352
15375.3906839552
Oils, fats and oil-rich nuts purchased
13158
0
0
2085714.30076416
2240.43093458944
18478.5565646848
Fruits purchased
13158
0
0
83428.5720305664
2049.2018778112
4270.93695397888
Vegetables excludes pulses (beans and peas) purchased
13158
0
0
258732.85644288
4520.63695732736
6038.93004238848
Pulses (beans and peas) purchased
13158
0
0
83428.5720305664
2421.38394656768
4428.43105591296
Sugar, jam, honey, chocolate and confectionary purchased
13158
0
0
392635.709652992
4510.86892662784
6239.42918209536
Non-alcoholic purchased
13158
0
0
110542.861631488
1925.94487279616
4134.35766505472
Food items not mentioned above purchased
13158
0
0
299404.284133376
3988.01000988672
5948.5666148352
Food consumed in restaurants and canteens purchased
13158
0
0
312857.16189184
3423.75398375424
14077.6344387584
Total value of purchased food
13158
0
0
2161420.4813312
47603.7532090368
50002.5662636032
Bread and cereals auto-consumption
13158
0
0
538453.305458688
6479.05480278016
9783.71336994816
Bananas and tubers auto-consumption
13158
0
0
87600
1966.35195867136
5235.15375648768
Poultry auto-consumption
13158
0
0
59964.2865664
1023.61796182016
3700.8709779456
Meats auto-consumption
13158
0
0
107414.288334848
964.707972284416
5419.15451752448
Fish and seafood auto-consumption
13158
0
0
109500
223.0639919104
2198.23606857728
Milk, cheese and eggs auto-consumption
13158
0
0
107002.634174464
3370.79569481728
7045.80190994432
Oils, fats and oil-rich nuts auto-consumption
13158
0
0
73000
1003.91991640064
2815.96712189952
Fruits auto-consumption
13158
0
0
83428.5720305664
1440.01999044608
4066.69179748352
Vegetables excludes pulses (beans and peas) auto-consumption
13158
0
0
75172.6181220352
1551.77789161472
3380.03893420032
Pulses (beans and peas) auto-consumption
13158
0
0
1095000
2057.29906556928
10509.2556521472
Sugar, jam, honey, chocolate and confectionary auto-consumption
13158
0
0
73000
699.653997723648
2348.54381780992
Non-alcoholic auto-consumption
13158
0
0
219243.333287936
859.099021443072
4122.13915418624
Food items not mentioned above auto-consumption
13158
0
0
107056.08638464
613.684992802816
3238.38889951232
Total value of auto-consumption food
13158
0
0
1114379.26105088
22357.2995866624
27154.1287780352
Tuition (school fees and registration)
13158
0
0
2100000
6274.34055532544
40818.88264192
Text books and school supplies
13158
0
0
380000
635.116007194624
4342.66794098688
School uniforms
13158
0
0
70000
796.593020207104
1949.4529400832
Extra-curricular activities
13158
0
0
0
0
0
Feeding and Boarding
13158
0
0
240000
676.124019392512
5380.2669441024
Transport to school
13158
0
0
333000
492.980003667968
5170.1658681344
Fees for school maintenance
13158
0
0
62000
144.031006851072
926.400018120704
Expenditures on education not mentioned elsewhere
13158
0
0
1002000
2268.85489393664
15136.8790704128
Total education costs
13158
0
0
4080000
3000.65306443776
44077.6655896576
Total value of education
13158
0
0
4080000
14288.7136264192
70943.5047542784
Consultation fees
13158
0
0
1440000
1912.29996302336
19754.2641926144
Medication
13158
0
0
316800
1167.93993592832
5682.4195710976
Traditional doctors and medicines
13158
0
0
494400
190.257001660416
4786.8769468416
Medical procedure fees
13158
0
0
7209600
1895.52492806144
85144.505417728
Hospitalization
13158
0
0
480000
290.49699172352
6867.23797352448
Transport to hospital
13158
0
0
0
0
0
Health insurance
13158
0
0
0
0
0
Therapeutic equipment and appliances
13158
0
0
192000
43.5929986629632
2000.3818569728
Expenditures on other health care items not mentioned above
13158
0
0
21600
29.2449993883648
442.671004909568
To be used only if health expenditure is reported as a single item
13158
0
0
0
0
0
Total value of health
13158
0
0
316800
1167.93993592832
5682.4195710976
Tobacco and narcotics
13158
0
0
172071.422263296
1060.65400168448
5371.79881209856
Water
13158
0
0
180000
1494.80800256
4987.77974636544
Electricity, gas, fuels and heat energy
13158
0
0
3378000
7448.87385325568
32310.7235561472
Refuse, sewage collection, disposal and other services
13158
0
0
180000
68.0780032376832
1654.46988857344
Clothing and footwear
13158
0
0
1454400
12845.4687195136
33869.1591503872
Furnishings and routine household maintenance
13158
0
0
241680
3404.40683380736
6061.62089148416
Domestic household services
13158
0
0
936000
2854.85402423296
20829.0193604608
Transportation
13158
0
0
2372400
10842.435223552
57908.372963328
Communication (postal and telephone)
13158
0
0
662500
4250.96904704
17971.0759796736
13158
0
0
1179384
2753.60201572352
19086.7524550656
Other insurance excluding health
13158
0
0
4370000
1795.33894385664
48665.0396278784
Property service charge, licenses and taxes
13158
0
0
0
0
0
Actual rent paid
13158
0
0
1800000
7337.079209984
49315.5124248576
Owner-occupied imputed rent
13158
0
0
72000000
12887.5543658496
632387.62921984
Imputed rent
13158
0
0
2366250.32380416
8941.94205851648
34613.5977787392
Actual and imputed rent for missing households
13158
0
0
1800000
11022.0294488064
53473.0072129536
Expenditures on frequent non-food not mentioned elsewhere
13158
0
0
732720
5956.73309249536
14168.157585408
Total value of own-produced non-foods
13158
0
0
0
0
0
Total value of frequent non-food expenditures excluding education and health
13158
0
0
6242469.8847232
63044.717641728
179587.229155328
Electric small appliances
13158
0
0
7000
12.7720004517888
128.79499624448
Non-electric small appliances
13158
0
0
0
0
0
Large investment expenditure (purchase of household durable assets)
13158
0
0
6032500
5658.93213978624
88916.4060950528
Use value of large investments
13158
0
0
2813081.27297536
8840.3278299136
58804.0615493632
Non-regular expenditure
13158
0
0
130000
219.886991179776
2353.90397054976
Cash transfer payments (remittances) received
13158
0
0
0
0
0
Food transfer payments (remittances) received
13158
0
0
0
0
0
Other transfer payments (remittances) received
13158
0
0
0
0
0
Maintenance and repairs of dwelling unit (minor works)
13158
0
0
2400000
2364.34996854784
40585.662562304
Expenditures on infrequent non-food not mentioned elsewhere
13158
0
0
0
0
0
Total infrequent non-food expenditure excluding education and health
13158
0
0
7000
12.7720004517888
128.79499624448
Household Paasche Index
13158
0
0.469
2.49999996747776
1.02100004503552
0.114
Total purchased and auto-consumption food expenditure
13158
0
0
2161420.4813312
69961.1853357056
59030.6277851136
Total purchased and auto-consumption food expenditure in regionally deflated prices
13158
0
0
2250262.5509376
68476.173549568
56189.4498762752
Total purchased and auto-consumption non-food expenditure
13158
0
0
6501069.86561536
78513.981882368
219025.112039424
Total purchased and auto-consumption non-food expenditure in regionally deflated prices
13158
0
0
6501069.86561536
75559.5544100864
205007.949398016
Total household food and non-food consumption expenditure
13158
0
1162.85702668288
6649316.70163456
148475.324923904
251881.074982912
Total food and non-food consumption expenditure in regionally deflated prices
13158
0
1162.85702668288
6649316.70163456
144035.889020928
235449.134088192
Per adult equivalent total household food and non-food consumption expenditure
13158
0
189.699008233472
2300801.56532736
45907.613581312
83574.7754016768
Per adult equivalent total food and non-food consumption expenditure in regionally deflated prices
13158
0
189.699008233472
2300801.56532736
44635.3335386112
78930.895699968
Monthly per adult equivalent food expenditure
13158
0
0
51375.8552129536
1762.47489429504
1636.64392880128
Monthly per adult equivalent total household expenditure
13158
0
15.8079995871232
191733.447000064
3719.60206852096
6577.5779971072
Food poverty line (Kshs)
13158
0
987.986963464192
1474.41798086656
1160.9699254272
233.38298638336
Absolute poverty line (Kshs)
13158
0
1562.17892667392
2912.7981662208
2042.6059153408
647.289018253312
Food Poverty line
13158
0
1
2
1
Poor
5133
2
Non Poor
8025
Absolute Poverty line
13158
0
1
2
1
Poor
5364
2
Non Poor
7794
Hardcore poverty line
13158
0
1
2
1
Hardcore Poor
2193
2
Non Hardcore Poor
10965