World Bank, Migration and Remittances Household Survey
Development Economics Data Group
2011-02-14
Metadata Editor
KEN_2009_MRHSS_v01_M
Migration Household Survey 2009
MRHSS 2009
KEN_2009_MRHSS_v01_M
University of Nairobi
Richard Bilsborrow
Mario Navarrete
2011-02-14
Metadata Editor
The World Bank
Other Household Survey [hh/oth]
The main objective of this survey is to help improve the impact of migration and remittances on the economic and social situation in Kenya. At present, our knowledge base on migration and remittances in Kenya is quite limited. By providing rich and detailed information on the impact of migration and remittances at the household level, this survey will greatly increase our ability to maximize the socio-economic impact of migration and remittances in Kenya. To these ends, the survey will collect nationally-representative information in various African countries on three types of households: non-migrant households, internal migrant households and international migrant households. Comparisons between these three types of households will help policymakers identify the socio-economic impact of migration and remittances in Kenya.
Kenya
Embu, Garissa, Kakamega, Kiambu, Kilifi, Kisii, Lugari, Machakos, Malindi, Migori, Mombasa, Nairobi, Nakuru, Siaya, Thika, Vihiga, Rachuonyo
17 out of 69 districts in Kenya were selected using procedures described in the methodology report
Sample survey data [ssd]
At the planning stage of the survey, the aim was to select the districts purposively and the clusters and households randomly. However, from the pre-testing we realised that it was possible to end up with clusters without international migrants, which was the key target, if and the design did not allow substituting the clusters once the selection has been made. We also realised that the DSOs, village elders and administrative officers had an idea of households in their locality and could identify those with international migrants. Thus we changed the methodology of selecting the clusters.
Face-to-face [f2f]
The research team headed by a team leader provided the overall intellectual coordination for the project and in consultation with the World Bank Migration team, took final decisions on all matters relating to the project. The team leader worked with the principal researchers for day to day management of logistics and technical aspects the project. The supervisors oversaw the data gathering at the district level.
Data editing was conducted through a period of nearly three months. After data entry, the data analyst together with the team leader worked together to clean up the data and check for inconsistencies. The team also corresponded with Prof Mario Navarrete in identifying and correcting all inconsistencies in the original data.
96.2 percent
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Household.NSDstat
This data file contains information that has been collected using Section 2 (Housing Conditions), Section 3 (Household Assets and Household Expenditure), Section 5 (International and Internal Migration and Remittances from Former Household Members), and Section 6 (International and Internal Migration and Remittances from Non-Household Members) of the Migration Household Survey 2009 questionnaire.
1942
252
Nesstar 200801
section1.NSDstat
This data file contains information that has been collected using Section 1 (Household Roster) of the 2009 Migration Household Survey questionnaire.
8343
19
Nesstar 200801
section4.NSDstat
This data file contains information that has been collected using Section 4 (Household Use of Financial Services) of the 2009 Migration Household Survey questionnaire.
1896
11
Nesstar 200801
section5.NSDstat
2245
44
Nesstar 200801
section6.NSDstat
This data file contains information that has been collected using Section 6 (Internal and International Migration and Remittances from Non-Household Members) questions 6.1 to 6.15 of the 2009 Kenya Migration Household Survey questionnaire.
279
15
Nesstar 200801
section7.NSDstat
70
18
Nesstar 200801
HH unique ID
1942
0
District questionnaire number
1942
0
HH weight
0
1942
Sysmiss
1942
Province
PROVINCE
1942
0
1
nairobi
177
2
central
249
3
eastern
214
4
north eastern
107
5
coast
353
6
rift valley
93
7
nyanza
466
8
western
283
District
District
1942
0
201
kiambu
129
202
kisii
121
203
machakos
107
204
nakuru
93
205
nairobi
177
206
rachuonyo
109
207
thika
120
208
garissa
107
209
lugari
67
210
nairobi west
0
211
malindi
124
212
embu
107
213
siaya
123
214
kilifi
103
215
kakamega
100
216
migori
113
217
vihiga
116
218
mombasa
126
Enumeration area
Census Unit (Enumeration Area)
1942
0
2
high rise
0
6
mbwa kali
24
8
nkura
0
20
sigona/nyathuwa
43
24
mutundu
26
27
kamour
21
28
town centre
35
29
hidaya
21
30
jaribu
20
35
london
19
116
mabanda
27
120
muirini
21
123
githuguchu
22
163
mtondia
20
262
gongoni
27
263
musufini
23
268
kwa haidari
24
280
kairuri
22
281
manyatta
22
282
kiangucu
21
286
kau
21
343
mbondoni
21
347
mususye
21
348
kanzia
21
511
market
10
598
irianyi
23
599
kerera
27
618
nyokabaria
21
649
lichota
26
652
manyera
22
655
ngere a & b
19
660
manywanda
23
693
nyabola
19
702
karianya
16
704
kamanga
24
708
ayuang
24
709
uhanya
21
717
yombura
33
722
ukwala 'b'
19
732
sinaga
24
938
morop
14
945
plant breeding
17
946
ngondu
15
1177
musakhwe
21
1188
shipalo
22
1194
matere
20
1202
muyunchi
2
1204
mwamba
9
1205
bendera
7
1206
mlimani
13
1207
bendera
0
1240
idohi
24
1241
liamidi
22
1242
magina
26
1301
maili saba
14
1309
eastleigh
15
1312
outering
20
1313
buruburu phase 1
19
1317
loresho
24
1318
kibarage
15
1323
muthaiga
20
1336
kilimani
16
1338
kileleshwa
14
1343
rusinga
20
1371
njiku
19
1376
guthunguri
19
1403
juja
24
1412
majengo
24
1417
21
1418
kiwandani
21
1419
mtwapa
22
1420
makiwo
19
1436
mnazi moja
21
1437
ganjoni
22
1440
bamburi
22
1444
tudor
20
1448
kisimani
20
1451
nyali
21
1476
barani
26
1482
majengo
24
1485
matakare
21
1505
kaluoki
24
1510
makadara
20
1573
bomakombi
27
1574
bonyanchaire
23
1607
kimaiga
23
1621
atandi
26
1626
awello
26
1695
section 58
28
1770
likwilo
19
1773
mayakolo
18
1780
maji mazuri
0
1781
pan paper
17
1782
township
19
1791
mbale/nyembe
21
1792
ikengero
23
Primary unit urban/rural
Primary Unit
1942
0
1
urban
953
2
rural
989
Classification of migrants
1942
0
1
international migrant
591
2
internal migrant
556
3
non-migrant
673
4
both international & internal migrant
122
777
n\a
0
999
missing
0
HH type
1942
0
1
international migrant
713
2
internal migrant
558
3
non migrant
671
4
both
0
ID code of principal repondent
ID CODE OF PRINCIPAL RESPONDENT
1813
129
1
household head
1316
2
spouse of the household head
427
3
children not married
39
4
children married
25
5
other relatives
6
Sysmiss
129
HH size
NUMBER OF CURRENT HOUSEHOLD MEMBERS
1941
1
1
20
4.222
2.304
ID code of interviewer
INTERVIEWER (Name and code)
1940
2
1
5
2
73
3
2
4
5
5
4
6
61
7
30
8
109
9
41
10
70
11
35
12
11
13
2
14
123
15
140
16
22
17
32
18
40
19
34
20
41
21
47
22
27
23
104
24
23
25
24
26
29
27
31
28
35
29
18
30
62
31
46
32
90
33
74
34
56
35
25
36
18
37
20
38
17
39
23
40
22
41
54
42
53
43
37
44
26
45
38
46
25
47
27
48
9
Sysmiss
2
Date of interview
DATE OF INTERVIEW
1942
1991-12-13
2009-12-23
1991-12-13
1
2008-12-10
1
2009-02-14
1
2009-09-11
1
2009-10-24
11
2009-11-02
4
2009-11-03
10
2009-11-04
12
2009-11-05
7
2009-11-06
17
2009-11-07
25
2009-11-08
66
2009-11-09
110
2009-11-10
125
2009-11-11
74
2009-11-12
59
2009-11-13
39
2009-11-14
53
2009-11-15
8
2009-11-16
4
2009-11-17
38
2009-11-18
48
2009-11-19
80
2009-11-20
98
2009-11-21
68
2009-11-22
66
2009-11-23
41
2009-11-24
28
2009-11-25
16
2009-11-26
63
2009-11-27
50
2009-11-28
27
2009-11-29
11
2009-11-30
8
2009-12-05
22
2009-12-06
4
2009-12-07
87
2009-12-08
48
2009-12-09
47
2009-12-10
32
2009-12-11
24
2009-12-12
44
2009-12-13
37
2009-12-14
60
2009-12-15
55
2009-12-16
19
2009-12-17
50
2009-12-18
40
2009-12-19
40
2009-12-20
37
2009-12-21
20
2009-12-22
5
2009-12-23
1
ID code of supervisor
SUPERVISOR (Name and code)
1942
0
1
469
2
391
3
490
4
218
5
267
6
107
Date of supervision
DATE
1647
2009-01-08
2009-12-23
2009-01-08
1
2009-01-18
1
2009-10-07
1
2009-10-24
11
2009-11-02
2
2009-11-03
6
2009-11-04
9
2009-11-05
13
2009-11-06
19
2009-11-07
14
2009-11-08
19
2009-11-09
30
2009-11-10
28
2009-11-11
48
2009-11-12
85
2009-11-13
52
2009-11-14
16
2009-11-15
46
2009-11-16
21
2009-11-17
1
2009-11-18
26
2009-11-19
44
2009-11-20
75
2009-11-21
12
2009-11-22
16
2009-11-23
60
2009-11-24
42
2009-11-26
112
2009-11-27
37
2009-11-28
27
2009-11-29
11
2009-11-30
9
2009-12-04
75
2009-12-05
21
2009-12-06
6
2009-12-07
13
2009-12-08
12
2009-12-09
25
2009-12-10
102
2009-12-11
44
2009-12-12
2
2009-12-14
31
2009-12-15
24
2009-12-16
19
2009-12-17
206
2009-12-18
63
2009-12-19
40
2009-12-20
37
2009-12-21
21
2009-12-22
9
2009-12-23
3
Tenure status of dwelling
What is the tenure status of this dwelling?
1941
1
1
owned
1293
2
rent-free or subsidized from employer
68
3
rented from employer
30
4
rent-free or subsidized from relatives
25
5
rented from relatives
15
6
rented from an individual
487
7
rented from other
23
8
other (specify)
0
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
1
Type of dwelling
What type of dwelling does your household live in?
1940
2
1
family house
1426
2
apartment in a building
122
3
single rooms
217
4
room or rooms in a house
169
5
huts
3
6
other (specify
3
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
2
Major construction material of the exterior walls
What is the major construction material of the exterior walls?
1941
1
1
bricks/stones
1242
2
wood/off cuts
68
3
mud
471
4
pre-fabricated
20
5
tin
11
6
straw
0
7
iron sheets
120
8
other (specify
9
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
1
Existence of separate room for cooking
Do you have a separate room for cooking?
1938
4
1
yes
1270
2
no
665
3
3
Sysmiss
4
Total number of separate rooms (main house)
How many separate rooms do you have in total, excluding bathrooms, corridors, and storage areas (this refers to separate living and dining rooms, bedrooms, etc.)? Main house
1919
23
1
14
3.28
1.881
Total number of separate rooms (other rooms)
How many separate rooms do you have in total, excluding bathrooms, corridors, and storage areas (this refers to separate living and dining rooms, bedrooms, etc.)? Other Rooms
746
1196
1
12
2.04
1.356
Have electricity
Does your household have electricity?
1940
2
1
yes
1012
2
no
928
Sysmiss
2
Primary source of drinking water
What is the primary source of your drinking water?
1941
1
1
piped water to resident
862
2
public pump
148
3
well \ stream
130
4
river or stream
355
5
water truck \ vendors
45
6
rain water
79
7
boreholes
266
8
spring
56
Sysmiss
1
Own agricultural land at present
Does your household own the following asset at present? Agricultural land
1929
13
1
yes
1212
2
no
717
Sysmiss
13
Own non-agricultural land at present
Does your household own the following asset at present? Non-agricultural land
1929
13
1
yes
394
2
no
1535
Sysmiss
13
Own house at present
Does your household own the following asset at present? House
1929
13
1
yes
1245
2
no
684
Sysmiss
13
Own other buildings at present
Does your household own the following asset at present? Other Buildings
1929
13
1
yes
378
2
no
1551
Sysmiss
13
Own tuk tuk at present
Does your household own the following asset at present? Tuk Tuk
1929
13
1
yes
109
2
no
1820
Sysmiss
13
Own radio at present
Does your household own the following asset at present? Radio
1929
13
1
yes
1642
2
no
287
Sysmiss
13
Own television at present
Does your household own the following asset at present? Television
1929
13
1
yes
1100
2
no
829
Sysmiss
13
Own refrigerator at present
Does your household own the following asset at present? Refrigerator
1929
13
1
yes
509
2
no
1420
Sysmiss
13
Own air conditioners at present
Does your household own the following asset at present? Air conditioner
1929
13
1
yes
241
2
no
1688
Sysmiss
13
Own sound system at present
Does your household own the following asset at present? Sound system
1929
13
1
yes
299
2
no
1630
Sysmiss
13
Own VCR/DVD player at present
Does your household own the following asset at present? VCR/DVD player
1929
13
1
yes
717
2
no
1212
Sysmiss
13
Own computer at present
Does your household own the following asset at present? Computer
1929
13
1
yes
379
2
no
1550
Sysmiss
13
Own mobile phone at present
Does your household own the following asset at present? Cell phone / mobile phone
1929
13
1
yes
1551
2
no
378
Sysmiss
13
Own non-mobile telephone at present
Does your household own the following asset at present? Non-mobile telephone
1929
13
1
yes
212
2
no
1717
Sysmiss
13
Own bicycle at present
Does your household own the following asset at present? Bicycle
1929
13
1
yes
534
2
no
1395
Sysmiss
13
Own animal-drawn cart at present
Does your household own the following asset at present? Animal drawn cart
1929
13
1
yes
110
2
no
1819
Sysmiss
13
Own car at present
Does your household own the following asset at present? Car
1929
13
1
yes
323
2
no
1606
Sysmiss
13
Own motorcycle or scooter at present
Does your household own the following asset at present? Motorcycle
1928
14
1
yes
90
2
no
1838
Sysmiss
14
Own tractor/harvester at present
Does your household own the following asset at present? Tractor/harvester
1929
13
1
yes
17
2
no
1912
Sysmiss
13
Own bus at present
Does your household own the following asset at present? bus
1929
13
1
yes
11
2
no
1918
Sysmiss
13
Own lorry at present
Does your household own the following asset at present? lorry
1929
13
1
yes
29
2
no
1900
Sysmiss
13
Does your household own the following asset at present? truck
1928
14
1
yes
17
2
no
1911
Sysmiss
14
Own boat at present
Does your household own the following asset at present? boat
1929
13
1
yes
16
2
no
1913
Sysmiss
13
Own canoe at present
Does your household own the following asset at present? canoe
1927
15
1
yes
5
2
no
1922
Sysmiss
15
Expenditure on food in past 1 week
How much in total has your household spent on the following items in the given period? In the past one week: Food (e.g. grains, cassava, plantain, yam, pulses, fruits, vegetables, including self-consumption)
1916
26
2
50000
1583.978
2973.096
Expenditure on meat in past 1 week
How much in total has your household spent on the following items in the given period? In the past one week: Meat (fish, chicken, red meat including self-consumption)
1580
362
2
104000
696.817
2845.121
Expenditure on cooking fuels in past 1 week
How much in total has your household spent on the following items in the given period? In the past one week: Cooking fuels (e.g. kerosene)
1680
262
2
20000
371.464
859.123
Expenditure on transportation in past 1 week
How much in total has your household spent on the following items in the given period? In the past one week: Transportation (e.g. bus/taxi, gasoline)
1238
704
10
600300
1802.24
17266.127
Other expenditure in past 1 week
How much in total has your household spent on the following items in the given period? In the past one week: Personal care/leisure/entertainment(e.g. cigarettes, alcohol, beauty salon)
1130
812
1
150000
2129.789
7659.881
Total expenditure on food items in past 1 week
1942
0
0
104002
2451.047
4553.836
Total expenditure on non-food in past 1 week
1942
0
0
604900
2388.175
15455.851
Expenditure on clothing and footwear in past 6months
How much in total has your household spent on the following items in the given period? In the past 6 months: Clothing and footwear
1334
608
50
500000
7315.734
22622.942
Expenditure on HH appliances in past 6months
How much in total has your household spent on the following items in the given period? In the past 6 months: Household appliances (e.g. furniture, kitchen ware, refrigerators, air conditioners, bedding, carpet)
566
1376
20
1000000
12949.753
61981.233
Expenditure on car/motorcycle/vehicle in past 6months
How much in total has your household spent on the following items in the given period? In the past 6 months: Car/motorcycle/vehicle/tuk tuk
160
1782
2
4000000
179684.513
478250.503
Expenditure on initial cost of mobile phone in past 6months
How much in total has your household spent on the following items in the given period? In the past 6 months: Cell phone/mobile phone (Initial cost)
485
1457
50
300000
8693.932
17300.057
Expenditure on computer in past 6months
How much in total has your household spent on the following items in the given period? In the past 6 months: Computer
76
1866
50
120000
25953.289
27481.853
Expenditure on other electronic goods in past 6months
How much in total has your household spent on the following items in the given period? In the past 6 months: Other electronic goods (e.g. DVDs, TV)
136
1806
100
90000
11911.765
16726.325
Expenditure on productive assets in past 6months
How much in total has your household spent on the following items in the given period? In the past 6 months: Productive assets (e.g. sewing machine, water pump)
45
1897
250
150000
18495.556
29446.637
Expenditure on farming equipment in past 6months
How much in total has your household spent on the following items in the given period? In the past 6 months: Farming Equipment (e.g. trucks, tractor, ox plough, harvester, spraying machines, water pumps)
129
1813
100
120000
6044.574
15653.298
Expenditure on luxury goods in past 6months
How much in total has your household spent on the following items in the given period? In the past 6 months: Luxury goods (Jewelry and luxury cars)
190
1752
20
3400000
61135.895
317357.436
Expenditure on rent for housing in past 6months
How much in total has your household spent on the following items in the given period? In the past 6 months: Rent for housing (imputed rent)
1132
810
50
2500000
39905.977
129274.478
Expenditure on utilities in past 6months
How much in total has your household spent on the following items in the given period? In the past 6 months: Payments for utilities (e.g. gas, water, electricity)
911
1031
50
3000000
19105.106
112252.902
Expenditure on education/apprenticeship in past 6months
How much in total has your household spent on the following items in the given period? In the past 6 months: Education / apprenticeship (including tuition fees, tutor fees, school uniforms, books, and supplies)
1156
786
20
6000000
47454.786
252619.313
Expenditure on health in past 6months
How much in total has your household spent on the following items in the given period? In the past 6 months: Health (doctor, fees, hospital fees, medicines, drugs)
1311
631
20
1000000
13567.53
53149.013
Expenditure on wedding, engagement,funerals in past 6months
How much in total has your household spent on the following items in the given period? In the past 6 months: Wedding/ Engagement / Funerals
818
1124
20
310000
8403.441
27429.068
Expenditure on setting up a busness/opening a store in past 6months
How much in total has your household spent on the following items in the given period? In the past 6 months: Setting up a business / Opening a store
133
1809
2
2000000
76455.88
247115.279
Expenditure on house/land in past 6months
How much in total has your household spent on the following items in the given period? In the past 6 months: House or land purchase
55
1887
12.1
5000000
559775.675
1044281.674
Expenditure on home improvement in past 6months
How much in total has your household spent on the following items in the given period? In the past 6 months: Home improvements (e.g. roof, floor, plumbing)
172
1770
50
4000000
53515.349
310581.395
Expenditure on mortage and loan repayment in past 6months
How much in total has your household spent on the following items in the given period? In the past 6 months: Mortgage and loan repayment
148
1794
2
750000
57259.689
110622.601
Other expenditure in past 6months
How much in total has your household spent on the following items in the given period? In the past 6 months: Other (specify)
58
1884
4
500000
27432.828
77800.992
Total expenditure on non-food in past 6months
1942
0
0
7588000
138619.319
501155.389
Existence of bank account for HH member
Does anyone in your household have a bank account?
If answer is 1 > Copy ID of each person with bank account.
Q4.1 asks whether anyone in the household has a bank account. It is important here to copy the ID (identification of the member from the listing of household members) of each and every person in the household who has a bank account.
1942
0
1
yes
1230
2
no
712
Total amount of remitt. sent by migrant to HH in past 12months
In the past 12 months, how much money in total has (NAME) sent to your household?
779
1163
0
20000000
187672.017
1065943.312
Amount of remitt. spent on food in past 12months
How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Food.
608
1334
0
none
0
100
2
200
1
300
3
500
5
600
1
800
2
1000
14
1075
1
1200
5
1300
1
1500
7
1800
1
2000
38
2200
1
2400
1
2500
4
2800
1
2900
1
3000
25
3500
1
3600
1
3800
2
4000
23
4500
1
5000
45
5400
1
6000
18
7000
8
7400
1
7500
2
8000
16
9000
6
10000
89
11000
2
11700
1
12000
11
12500
1
12800
1
13000
2
13500
1
14000
2
15000
18
16000
4
16800
1
17000
2
18000
3
20000
53
20800
2
21000
1
24000
7
25000
7
26000
1
30000
28
34000
1
35000
3
36000
15
40000
17
42000
1
44000
2
45000
2
46000
1
48000
2
50000
27
54000
1
55000
1
55200
1
60000
15
67500
1
70000
1
72000
1
78000
1
80000
5
84000
1
90000
2
91248
1
100000
7
114000
1
120000
5
125000
1
130000
1
140000
1
150000
2
198000
1
200000
5
260000
1
300000
3
500000
1
864000
1
777
n\a
0
999
missing
0
Sysmiss
1334
Proportion of remitt. spent on food in past 12months
608
1334
0.0025
1
0.47
0.316
Amount of remitt. spent on education in past 12months
How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Education.
354
1588
200
2000000
40841.893
124254.473
0
none
777
n\a
999
missing
Proportion of remitt. spent on education in past 12months
354
1588
0.004
1
0.361
0.287
Amount of remitt. spent on health in past 12months
How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Health.
359
1583
200
300000
19935.376
39940.456
0
none
777
n\a
999
missing
Proportion of remitt. spent on health in past 12months
359
1583
0.00125
1
0.215
0.227
Amount of remitt. spent on rent in past 12months
How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Rent (house, land).
87
1855
1000
600000
61950.575
118199.681
0
none
777
n\a
999
missing
Proportion of remitt. spent on rent in past 12months
87
1855
0.0286
1
0.312
0.191
Amount of remitt. spent on marriage/funeral in past 12months
How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Marriage/funeral.
67
1875
200
100000
13967.91
18103.4
0
none
777
n\a
999
missing
Proportion of remitt. spent on marriage/funeral in past 12months
67
1875
0.00466
1
0.229
0.258
Amount of remitt. spent on cars/trucks in past 12months
How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Cars/trucks.
11
1931
7000
500000
118545.455
138294.876
0
none
777
n\a
999
missing
Proportion of remitt. spent on cars/trucks in past 12months
11
1931
0.0625
0.6
0.303
0.197
Amount of remitt. spent on rebuilding house in past 12months
How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Rebuild house.
51
1891
2000
1000000
98441.176
198537.217
0
none
777
n\a
999
missing
Proportion of remitt. spent on rebuilding house in past 12months
51
1891
0.025
1
0.384
0.242
Amount of remitt. spent on building new house in past 12months
How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Build new house.
39
1903
2500
1500000
308397.436
410181.205
0
none
777
n\a
999
missing
Proportion of remitt. spent on building new house in past 12months
39
1903
0.0526
1
0.563
0.314
Amount of remitt. spent on business in past 12months
How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Buisness.
59
1883
500
740000
86388.136
160568.769
0
none
777
n\a
999
missing
Proportion of remitt. spent on business in past 12months
59
1883
0.0222
1
0.378
0.301
Amount of remitt. spent on land in past 12months
How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Land purchase.
25
1917
8000
2000000
251480
420453.636
0
none
777
n\a
999
missing
Proportion of remitt. spent on land in past 12months
25
1917
0.02
1
0.396
0.297
Amount of remitt. spent on livestock in past 12months
How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Livestock purchase.
35
1907
600
100000
15491.429
21697.633
0
none
777
n\a
999
missing
Proportion of remitt. spent on livestock in past 12months
35
1907
0.0257
1
0.197
0.176
Amount of remitt. spent on farm improvement in past 12months
How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Improved farming.
97
1845
200
200000
16749.485
28857.838
0
none
777
n\a
999
missing
Proportion of remitt. spent on farm improvement in past 12months
97
1845
0.01
1
0.291
0.248
Amount of remitt. spent on phycical investment in past 12months
How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Migrant physical investment.
34
1908
300
3000000
334244.118
610215.552
0
none
777
n\a
999
missing
Proportion of remitt. spent on phycical investment in past 12months
34
1908
0.00971
1
0.607
0.282
Amount of remitt. spent on financial assets in past 12months
How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Financial assets (bonds,stocks).
30
1912
3000
3000000
201433.333
572682.537
0
none
777
n\a
999
missing
Proportion of remitt. spent on financial assets in past 12months
30
1912
0.0333
1
0.459
0.362
Amount of remitt. spent on intended recipient in past 12months
How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Transfering to intended recipient.
67
1875
500
230000
40594.03
50449.915
0
none
777
n\a
999
missing
Proportion of remitt. spent on intended recipient in past 12months
67
1875
0.000606
1
0.334
0.326
Amount of remitt. spent on other expenditure in past 12months
How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Other (specify).
94
1848
100
750000
48437.234
108857.868
0
none
777
n\a
999
missing
Proportion of remitt. spent on other expenditure in past 12months
94
1848
0.0187
1
0.357
0.287
Total amount of remitt. spent on food items in past 6months
773
1169
0
864000
20504.299
49133.51
Proportion of remitt. spent on food items in past 6months
771
1171
0
1
0.371
0.34
Total amount of remitt. spent on non-food in past 6months
768
1174
0
5150000
110115.078
348575.374
Proportion of remitt. spent on non-food in past 6months
766
1176
0
1.029
0.588
0.342
Total value of food/goods sent/brought by migrant to HH in past 12months
What is the value of food and goods that (NAME) has sent/brought to your household in the past 12 months? VALUE (LOCAL CURRENCY).
299
1643
0
2400000
33160.401
154791.224
Migrant sent/brought refridgerators to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Refridgerators.
312
1630
1
yes
7
2
no
305
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
1630
Quantity of fridge sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Refridgerators.
3
1939
1
1
1
0
0
none
777
n\a
999
missing
Value of fridge sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Value. Refridgerators.
6
1936
0
35000
12333.333
16500.505
0
none
2
777
n\a
0
999
missing
0
Migrant sent/brought freezers to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Deep freezers
306
1636
1
yes
2
2
no
303
5
1
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
1636
Quantity of freezers sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Deep freezers
4
1938
0
1
0.5
0.577
0
none
2
777
n\a
0
999
missing
0
Value of deep freezers sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Value. Deep freezers
2
1940
500
12000
6250
8131.728
0
none
777
n\a
999
missing
Migrant sent/brought TV to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. TV
305
1637
1
yes
17
2
no
288
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
1637
Quantity of TV sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. TV
17
1925
1
1
1
0
0
none
777
n\a
999
missing
Value of TV freezers sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Value. TV
18
1924
0
110000
15727.778
25194.556
0
none
1
777
n\a
0
999
missing
0
Migrant sent/brought HiFi system to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. HiFi System
303
1639
1
yes
8
2
no
295
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
1639
Quantity of HiFi system sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. HiFi System
8
1934
0
2
1
0.535
0
none
1
777
n\a
0
999
missing
0
Value of HiFi system sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Value. HiFi System
6
1936
12000
200000
65333.333
68896.057
0
none
777
n\a
999
missing
Migrant sent/brought washing machine to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Washing machine
304
1638
1
yes
6
2
no
298
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
1638
Quantity of washing machine sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Washing machine
6
1936
1
2
1.167
0.408
0
none
777
n\a
999
missing
Value of washing machine sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Value. Washing machine
7
1935
0
300000
94285.714
114870.528
0
none
1
777
n\a
0
999
missing
0
Migrant sent/brought set of futniture to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Set of furniture
305
1637
1
yes
10
2
no
295
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
1637
Quantity of set of futniture sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Set of furniture
13
1929
0
1
0.846
0.376
0
none
2
777
n\a
0
999
missing
0
Value of set of futniture sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Value. Set of furniture
11
1931
700
20000
7636.364
5769.969
0
none
777
n\a
999
missing
Migrant sent/brought stove/cooker to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Stove/cooker
302
1640
1
yes
2
2
no
299
777
n\a
0
888
dk
0
999
missing
0
5000
1
Sysmiss
1640
Quantity of stove/cooker sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Stove/cooker
2
1940
1
2
1.5
0.707
0
none
777
n\a
999
missing
Value of stove/cooker sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Value. Stove/cooker
3
1939
0
20000
7333.333
11015.141
0
none
1
777
n\a
0
999
missing
0
Migrant sent/brought microwave to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Microwave
302
1640
1
yes
7
2
no
295
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
1640
Quantity of microwave sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Microwave
8
1934
0
1
0.875
0.354
0
none
1
777
n\a
0
999
missing
0
Value of microwave sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Value. Microwave
7
1935
6000
60000
20428.571
19355.078
0
none
777
n\a
999
missing
Migrant sent/brought air conditioners to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Air conditioners
303
1639
1
yes
4
2
no
299
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
1639
Quantity of air conditioners sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Air conditioners
3
1939
1
1
1
0
0
none
777
n\a
999
missing
Value of air conditioners sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Value. Air conditioners
4
1938
0
120000
48750
57209.411
0
none
1
777
n\a
0
999
missing
0
Migrant sent/brought computer & acces. to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Computer and accessories
303
1639
1
yes
16
2
no
286
777
n\a
0
888
dk
0
999
missing
0
35000
1
Sysmiss
1639
Quantity of computer & acces. sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Computer and accessories
16
1926
0
2
1.063
0.443
0
none
1
777
n\a
0
999
missing
0
Value of computer & acces. sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Value. Computer and accessories
17
1925
2
150000
58235.412
38533.124
0
none
777
n\a
999
missing
Migrant sent/brought DVCD/DVD/video to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. DVCD/DVD/Video
301
1641
1
yes
11
2
no
290
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
1641
Quantity of DVCD/DVD/video sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. DVCD/DVD/Video
9
1933
1
1
1
0
0
none
777
n\a
999
missing
Value of DVCD/DVD/video sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Value. DVCD/DVD/Video
11
1931
0
40000
11272.727
13176.425
0
none
1
777
n\a
0
999
missing
0
Migrant sent/brought motorbike to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Motorbike
299
1643
1
yes
0
2
no
299
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
1643
Quantity of motorbike sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Motorbike
2
1940
0
0
0
0
0
none
2
777
n\a
0
999
missing
0
Value of motorbike sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Value. Motorbike
0
1942
0
none
777
n\a
999
missing
Migrant sent/brought cars to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Cars
302
1640
1
yes
5
2
no
297
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
1640
Quantity of cars sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Cars
5
1937
1
1
1
0
0
none
777
n\a
999
missing
Value of cars sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Value. Cars
6
1936
0
2400000
730000
849705.831
0
none
1
777
n\a
0
999
missing
0
Migrant sent/brought buses to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Buses
301
1641
1
yes
0
2
no
301
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
1641
Quantity of buses sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Buses
2
1940
0
0
0
0
0
none
2
777
n\a
0
999
missing
0
Value of buses sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Value. Buses
0
1942
0
none
777
n\a
999
missing
Migrant sent/brought trucks to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Trucks
340
1602
1
yes
0
2
no
301
777
n\a
37
888
dk
0
999
missing
2
Sysmiss
1602
Quantity of trucks sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Trucks
2
1940
0
0
0
0
0
none
2
777
n\a
44
999
missing
0
Value of trucks sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Value. Trucks
1
1941
0
0
0
0
none
1
777
n\a
34
999
missing
0
Migrant sent/brought posh mill to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. posh mill
340
1602
1
yes
1
2
no
300
777
n\a
37
888
dk
0
999
missing
2
Sysmiss
1602
Quantity of posh mill sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. posh mill
3
1939
0
1
0.333
0.577
0
none
2
777
n\a
44
999
missing
0
Value of posh mill sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Value. posh mill
2
1940
0
38000
19000
26870.058
0
none
1
777
n\a
34
999
missing
0
Migrant sent/brought hair dressing equip to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Set of hair dressing equipment
340
1602
1
yes
3
2
no
298
777
n\a
37
888
dk
0
999
missing
2
Sysmiss
1602
Quantity of hair dressing equip sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Set of hair dressing equipment
4
1938
0
4
1.25
1.893
0
none
2
777
n\a
44
999
missing
0
Value of hair dressing equipsent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Value. Set of hair dressing equipment
4
1938
0
150000
59000
70738.957
0
none
1
777
n\a
34
999
missing
0
Migrant sent/brought sewing machine to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Sewing machine
339
1603
1
yes
2
2
no
298
777
n\a
37
888
dk
0
999
missing
2
Sysmiss
1603
Quantity of sewing machine sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Sewing machine
5
1937
0
1
0.6
0.548
0
none
2
777
n\a
44
999
missing
0
Value of sewing machine sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Value. Sewing machine
4
1938
0
30000
11800
14147.791
0
none
1
777
n\a
34
999
missing
0
Migrant sent/brought tractor to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Tractor
340
1602
1
yes
0
2
no
301
777
n\a
37
888
dk
0
999
missing
2
Sysmiss
1602
Quantity of tractor sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Tractor
2
1940
0
0
0
0
0
none
2
777
n\a
44
999
missing
0
Value of tractor sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Value. Tractor
1
1941
0
0
0
0
none
1
777
n\a
34
999
missing
0
Migrant sent/brought other agri equip to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Other agriculture equipment
340
1602
1
yes
11
2
no
290
777
n\a
37
888
dk
0
999
missing
2
Sysmiss
1602
Quantity of other agri equip sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Other agriculture equipment
13
1929
0
3
1.231
0.832
0
none
2
777
n\a
44
999
missing
0
Value of other agri equip sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Value. Other agriculture equipment
12
1930
0
25000
9450
7626.688
0
none
1
777
n\a
34
999
missing
0
Migrant sent/brought mobile phone to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Mobile phones
341
1601
1
yes
33
2
no
269
777
n\a
37
888
dk
0
999
missing
2
Sysmiss
1601
Quantity of mobile phone sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Mobile phones
31
1911
0
3
1.29
0.643
0
none
1
777
n\a
44
999
missing
0
Value of mobile phone sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Value. Mobile phones
30
1912
1500
75000
14356.667
18400.125
0
none
0
777
n\a
34
999
missing
0
Migrant sent/brought other goods to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Other (specify)
340
1602
1
yes
46
2
no
256
777
n\a
36
888
dk
0
999
missing
2
Sysmiss
1602
Quantity of other goods sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Other (specify)
36
1906
0
30
4.111
6.159
0
none
2
777
n\a
42
999
missing
0
Value of other goods sent/brought by migrant to HH in past 12months
Which of the following goods were sent/brought to your household in the past 12 months? Value. Other (specify)
46
1896
0
120000
14198.913
24004.973
0
none
1
777
n\a
33
999
missing
0
Bank account opening by HH after migrant's migration
Did any member of your household open a bank account after a migrant went to work outside the household?
1257
685
1
yes
193
2
no
1064
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
685
Business set up/store opened by HH after migrant's migration
Did your household set up a business or open a store after a migrant went to work outside the household?
1251
691
1
yes, set up a business
89
2
yes, opened a store
80
3
no
1082
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
691
Dwelling built to rent / commerical uses by HH after migrant's migration
Did your household build a dwelling to rent to others or for other commercial uses after a migrant went to work outside the household?
1250
692
1
yes, for rent
38
2
yes, for other commercial uses
67
3
yes, for both
14
4
no
1131
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
692
Total amount of remitt. sent by HH to migrant in past 12months
In the past 12 months, how much money in total have you sent to (NAME)?
313
1629
0
4000000
135412.511
402358.789
Amount of remitt. spent by migrant on food in past 12months
How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Food
251
1691
0
500000
17741.036
49434.989
0
none
111
777
n\a
0
888
dk
0
999
missing
0
Proportion of remitt. spent by migrant on food in past 12months
242
1700
0
1
0.246
0.315
Amount of remitt. spent by migrant on education in past 12months
How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Education/fee
266
1676
0
4000000
93616.917
318057.826
0
none
110
777
n\a
0
888
dk
0
999
missing
0
Proportion of remitt. spent by migrant on education in past 12months
257
1685
0
6.667
0.475
0.567
Amount of remitt. spent by migrant on health in past 12months
How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Health
245
1697
0
240000
3512.245
20857.245
0
none
194
777
n\a
0
888
dk
0
999
missing
0
Proportion of remitt. spent by migrant on health in past 12months
236
1706
0
1
0.0929
0.255
Amount of remitt. spent by migrant on rent in past 12months
How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Rent (house, land)
245
1697
0
4000000
22987.755
257509.41
0
none
192
777
n\a
0
888
dk
0
999
missing
0
Proportion of remitt. spent by migrant on rent in past 12months
236
1706
0
1
0.0883
0.223
Amount of remitt. spent by migrant on marriage/funeral in past 12months
How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Marriage/funeral
241
1701
0
30000
178.423
2038.512
0
none
237
777
n\a
0
888
dk
0
999
missing
0
Amount of remitt. spent by migrant on cars/trucks in past 12months
How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Cars/trucks
241
1701
0
7000
29.046
450.91
0
none
240
777
n\a
0
888
dk
0
999
missing
0
Amount of remitt. spent by migrant on rebuilding house in past 12months
How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Rebuild house
239
1703
0
0
0
0
0
none
239
777
n\a
0
888
dk
0
999
missing
0
Amount of remitt. spent by migrant on building new house in past 12months
How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Build new house
237
1705
0
0
0
0
0
none
237
777
n\a
0
888
dk
0
999
missing
0
Amount of remitt. spent by migrant on business in past 12months
How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Business
239
1703
0
100000
554.393
6601.436
0
none
231
777
n\a
0
888
dk
0
999
missing
0
Amount of remitt. spent by migrant on land in past 12months
How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Land purchase
239
1703
0
0
0
0
0
none
239
777
n\a
0
888
dk
0
999
missing
0
Amount of remitt. spent by migrant on livestock in past 12months
How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Livestock purchase
240
1702
0
0
0
0
0
none
240
777
n\a
0
888
dk
0
999
missing
0
Amount of remitt. spent by migrant on farm improvement in past 12months
How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Improved farming
240
1702
0
30000
147.917
1954.502
0
none
237
777
n\a
0
888
dk
0
999
missing
0
Amount of remitt. spent by migrant on physical investment in past 12months
How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Migrant physical investment
240
1702
0
0
0
0
0
none
240
777
n\a
0
888
dk
0
999
missing
0
Amount of remitt. spent by migrant on financial assets in past 12months
How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Financial assets (bonds, stocks)
239
1703
0
450000
2050.209
29154.428
0
none
236
777
n\a
0
888
dk
0
999
missing
0
Amount of remitt. spent by migrant on intended recipient in past 12months
How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Transfering to intended recipient
240
1702
0
1000000
8527.083
73021.335
0
none
231
777
n\a
0
888
dk
0
999
missing
0
Amount of remitt. spent by migrant on other expenditure in past 12months
How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Other (specify)
247
1695
0
300000
4537.652
23137.15
0
none
198
777
n\a
0
888
dk
0
999
missing
0
Total amount of remitt. spent by migrant on food items in past 12months
251
1691
0
500000
17741.036
49434.989
Proportion of remitt. spent by migrant on food items in past 12months
242
1700
0
1
0.246
0.315
Total amount of remitt. spent by migrant on non-food in past 12months
253
1689
0
4000000
117758.103
344495.707
Total amount of remitt. spent by migrant on non-food in past 12months
244
1698
0
6.667
0.787
0.486
Total amount of remitt. spent by migrant in past 12months
0
1942
Existence of transfers received from non-HH migrant
In the last 12 months, did your household receive any money and/or goods from any non-household migrant members?
Write name of each nonhousehold member.
If answer is 2 > Go to Q7.1 (q7_1 - variable name in the dataset).]]>
1937
5
1
yes
235
2
no
1702
Sysmiss
5
Total amount of remitt. by non-HH migrant to HH in past 12months
Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person.
208
1734
200
4000000
63488.346
326055.802
Amount of remitt. by non-HH migrant spent on food in past 12months
How did your household spend this money sent by this non-household migrant over the past 12 months? Food
Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person.
119
1823
200
200000
8656.303
19965.316
0
none
777
n\a
888
dk
999
missing
Amount of remitt. by non-HH migrant spent on education in past 12months
How did your household spend this money sent by this non-household migrant over the past 12 months? Education
Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person.
43
1899
100
60000
10293.023
14383.413
0
none
777
n\a
888
dk
999
missing
Amount of remitt. by non-HH migrant spent on health in past 12months
How did your household spend this money sent by this non-household migrant over the past 12 months? Health
Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person.
54
1888
100
400000
14646.296
55544.895
0
none
777
n\a
888
dk
999
missing
Amount of remitt. by non-HH migrant spent on rent in past 12months
How did your household spend this money sent by this non-household migrant over the past 12 months? Rent (house, land)
Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person.
8
1934
1000
84000
26125
31054.963
0
none
777
n\a
888
dk
999
missing
Amount of remitt. by non-HH migrant spent on marri./funer. in past 12months
How did your household spend this money sent by this non-household migrant over the past 12 months? Marriage/funeral
Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person.
16
1926
1000
100000
21700
29478.014
0
none
777
n\a
888
dk
999
missing
Amount of remitt. by non-HH migrant spent on cars/trucks in past 12months
How did your household spend this money sent by this non-household migrant over the past 12 months? Cars/trucks
Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person.
1
1941
10000
10000
10000
0
none
777
n\a
888
dk
999
missing
Amount of remitt. by non-HH migrant spent on rebuild house in past 12months
How did your household spend this money sent by this non-household migrant over the past 12 months? Rebuild house
Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person.
3
1939
3000
5000
4166.667
1040.833
0
none
777
n\a
888
dk
999
missing
Amount of remitt. by non-HH migrant spent on new house in past 12months
How did your household spend this money sent by this non-household migrant over the past 12 months? Build new house
Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person.
5
1937
1000
2000000
538200
843534.943
0
none
777
n\a
888
dk
999
missing
Amount of remitt. by non-HH migrant spent on business in past 12months
How did your household spend this money sent by this non-household migrant over the past 12 months? Business
Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person.
19
1923
1000
1000000
67973.684
227074.417
0
none
777
n\a
888
dk
999
missing
Amount of remitt. by non-HH migrant spent on land in past 12months
How did your household spend this money sent by this non-household migrant over the past 12 months? Land purchase
Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person.
2
1940
100000
2000000
1050000
1343502.884
0
none
777
n\a
888
dk
999
missing
Amount of remitt. by non-HH migrant spent on farm improve. in past 12months
How did your household spend this money sent by this non-household migrant over the past 12 months? Improved farming
Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person.
3
1939
3000
50000
19333.333
26576.932
0
none
777
n\a
888
dk
999
missing
Amount of remitt. by non-HH migrant spent on phys. invest. in past 12months
How did your household spend this money sent by this non-household migrant over the past 12 months? Migrant physical investment
Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person.
10
1932
500
200000
26380
61898.749
0
none
777
n\a
888
dk
999
missing
Amount of remitt. by non-HH migrant spent on finan. assets in past 12months
How did your household spend this money sent by this non-household migrant over the past 12 months? Financial assets (bonds, stocks)
Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person.
4
1938
20000
2000000
575000
951717.745
0
none
777
n\a
888
dk
999
missing
Amount of remitt. by non-HH migrant spent on intended recipient in past 12months
How did your household spend this money sent by this non-household migrant over the past 12 months? Transfering to the intended recipient
Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person.
18
1924
500
200000
32761.111
52057.922
0
none
777
n\a
888
dk
999
missing
Amount of remitt. by non-HH migrant spent on other in past 12months
How did your household spend this money sent by this non-household migrant over the past 12 months? Other (specify)
Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person.
34
1908
500
200000
22573.529
39552.637
0
none
777
n\a
888
dk
999
missing
Total amount of remitt. by non-HH migrant spent on food items in past 12months
Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person.
121
1821
200
500000
11007.24
45761.573
Total amount of remitt. by non-HH migrant spent on non-food in past 12months
Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person.
154
1788
500
4000000
77101.948
372122.045
Proportion of remitt. by non-HH migrant spent on non-food in past 12months
Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person.
208
1734
0
1
0.601
0.419
Total value of food/goods sent by non-HH migrant to HH in past 12months
88
1854
110
130000
10230.568
20894.575
Total amount of remitt. by HH to non-HH migrant in past 12months
43
1899
0
55000
5504.651
10839.785
Amount of remitt. spent by non-HH migrant on food in past 12months
How did (NAME) spend the money send in the past 12 months? Food
4
1938
700
10000
6425
4015.283
0
none
0
777
n/a
0
888
don't know
1
999
missing
0
Amount of remitt. spent by non-HH migrant on education in past 12months
How did (NAME) spend the money send in the past 12 months? Education/fee
7
1935
500
55000
13857.143
19262.905
0
none
0
777
n/a
0
888
don't know
1
999
missing
0
Amount of remitt. spent by non-HH migrant on health in past 12months
How did (NAME) spend the money send in the past 12 months? Health
0
1942
0
none
0
777
n/a
0
888
don't know
1
999
missing
0
Amount of remitt. spent by non-HH migrant on rent in past 12months
How did (NAME) spend the money send in the past 12 months? Rent (house/land)
1
1941
2000
2000
2000
0
none
0
777
n/a
0
888
don't know
1
999
missing
0
Amount of remitt. spent by non-HH migrant on marriage/funeral in past 12months
How did (NAME) spend the money send in the past 12 months? Marriage/funeral
2
1940
3000
30000
16500
19091.883
0
none
0
777
n/a
0
888
don't know
1
999
missing
0
Amount of remitt. spent by non-HH migrant on cars/trucks in past 12months
How did (NAME) spend the money send in the past 12 months? Car/trucks
1
1941
1000
1000
1000
0
none
0
777
n/a
0
888
don't know
1
999
missing
0
Amount of remitt. spent by non-HH migrant on rebuilding house in past 12months
How did (NAME) spend the money send in the past 12 months? Rebuild house
1
1941
6000
6000
6000
0
none
0
777
n/a
0
888
don't know
1
999
missing
0
Amount of remitt. spent by non-HH migrant on building new house in past 12months
How did (NAME) spend the money send in the past 12 months? Build new house
0
1942
0
none
0
777
n/a
0
888
don't know
1
999
missing
0
Amount of remitt. spent by non-HH migrant on business in past 12months
How did (NAME) spend the money send in the past 12 months? Business
3
1939
2000
18000
10000
8000
0
none
0
777
n/a
0
888
don't know
1
999
missing
0
Amount of remitt. spent by non-HH migrant on land in past 12months
How did (NAME) spend the money send in the past 12 months? Land purchase
0
1942
0
none
0
777
n/a
0
888
don't know
1
999
missing
0
Amount of remitt. spent by non-HH migrant on livestock in past 12months
How did (NAME) spend the money send in the past 12 months? Livestock purchase
0
1942
0
none
0
777
n/a
0
888
don't know
1
999
missing
0
How did (NAME) spend the money send in the past 12 months? Improved farming
2
1940
500
6000
3250
3889.087
0
none
0
777
n/a
0
888
don't know
1
999
missing
0
How did (NAME) spend the money send in the past 12 months? Migrant physical investment
0
1942
0
none
0
777
n/a
0
888
don't know
1
999
missing
0
Amount of remitt. spent by non-HH migrant on finan. assets in past 12months
How did (NAME) spend the money send in the past 12 months? Financial assets (bonds, stocks)
0
1942
0
none
0
777
n/a
0
888
don't know
1
999
missing
0
Amount of remitt. spent by non-HH migrant on intended recipient in past 12months
How did (NAME) spend the money send in the past 12 months? Transfering to intended recipient
1
1941
1000
1000
1000
0
none
0
777
n/a
0
888
don't know
1
999
missing
0
Amount of remitt. spent by non-HH migrant on other in past 12months
How did (NAME) spend the money send in the past 12 months? Other (specify)
0
1942
0
none
0
777
n/a
0
888
don't know
1
999
missing
0
50
0
1892
0
0
10000
514
2021.72
55
0
1887
0
0
55000
3100
9070.914
55
0
1887
0
0
55000
3567.273
9503.743
Member have lived in another country/another place in country for at least 6mont
Does your household currently have a member who lived in another country or another place in this country for at least 6 months (Please copy person ID).
If None, END INTERVIEW.
1935
7
1
yes
59
2
no
1876
Sysmiss
7
1897
0
45
0
1
1897
0
Sysmiss
45
0
Migration destination
1942
0
0
0
1
Local migrants
553
0
2
OECD countrys
454
0
3
Africa countrys
189
0
4
Others countrys
64
0
5
Non migrant
682
0
HH unique ID
8343
0
Person ID
8343
0
Age at last birthday (years)
The age of the person should be considered at the last birthday.
8097
246
0.2
555
26.73
20.531
Sex
8239
104
1
male
3940
2
female
4299
777
n/a
0
999
missing
0
Sysmiss
104
Age group
8119
224
1
6 years and below
1261
2
7-11 years
902
3
12-14 years
604
4
15-17 years
426
5
18-24 years
1342
6
25-34 years
1208
7
35-44
753
8
45-54
691
9
55-64
491
10
65+
441
Sysmiss
224
Marital status
8206
137
1
married
2814
2
engaged to be married
56
3
cohabiting/consensual union
12
4
separated
75
5
divorced
62
6
widowed
317
7
single/never married
4870
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
137
Birth place (name)
The birth place is important in identifying the place of origin and it is in this case the district of born.
7118
0
0yugis
2
999
155
9999
1
Alego
1
Amagoro
1
America
1
Amisi
1
Asembo
1
Athi River
5
Athi river
14
Awendo
9
Baidoa
1
Banana
18
Banita
2
Barani
4
Baringo
9
Baringo central
1
Beirut
1
Bendera
3
Bhtsotso
1
Blandogo
1
Bobasi
1
Bomachoge
4
Bomani
1
Bombani
1
Bomdo
1
Bomet
3
Bondo
18
Bonyunyu
1
Boochi Kisii
1
Borabu
1
Brakachembe
1
Brazil
1
Britain
2
Bugoma
1
Buhani
4
Bungoma
17
Bunyala
16
Bunyala 2
1
Bunyole
1
Bunyore
7
Bunyure
1
Burundi
7
Busheri
1
Bushiangala
66
Bushiangalia
3
Bushingala
7
Busia
8
Butere
19
Butieri
1
Butsotso
1
Canada
5
Chambale
1
Chambiti
1
Charakal
3
Chavakali
1
Chekalini
2
Chemelil
1
Chonyi
3
Chuda
1
Chuka
1
Chumani Kilifi
1
Chumani- Kilifi
1
Chwele
1
Coast
1
Coconi
1
Congo
1
Cucha
1
Dabaso
1
Dadaab
8
Dagorreti
1
Denmark
2
Dhiwa
1
Duruma
1
Egago
1
Eldoret
6
Embu
204
Emohaya
1
Emuhaya
4
Emusala
1
Endeli
1
England
1
Eregi
1
Esabure
4
Esigilai
4
Ethiopia
4
Evutsende
1
Ewanga
1
Finland
1
France
1
Gachie
35
Gadah
1
Gadha
9
Gandamalindi
1
Gantundu
1
Ganze
4
Garara
2
Garasha
7
Garashani
2
Garisa
2
Garissa
373
Garisssa
1
Garite
1
Garrisa
3
Gatanga
25
Gathiga
36
Gatundu
29
Gede
7
Gem
1
German
2
Germany
1
Gesiro
1
Ghana
1
Gilgill
1
Githunguri
9
Gongoni
53
Grashani
1
Gucha
33
Hamisi
6
Holland
1
Homabay
43
Idahas
1
Idaho
1
Idakho
2
Idereli
18
Idereri
30
Idohi
1
Ijaara
1
Ijara
1
Ijiara
5
Ikolomani
2
Ikuruma Kisii
1
Ikuruma kisii
1
Imusala
1
Indakhalus
5
India
9
Ingotse
1
Isebania
1
Isiolo
4
Israel
1
Isukha
2
Italy
3
Jamaa home
1
Juja
1
Kabaa
1
Kabanas
1
Kabando
2
Kabaras
1
Kabarrasi
1
Kabete
1
Kabondo
22
Kabras
4
Kaembeni
1
Kagaa
1
Kagombani
6
Kaimosi
1
Kakamega
146
Kakoneni
1
Kalama
4
Kaloleni
8
Kaluoki
3
Kamagamba
1
Kamagambo
3
Kambangui
2
Kambe
2
Kambongui
2
Kamwangi
2
Kanayadhiang
1
Kandara
6
Kangema
1
Kangundo
115
Kano
1
Kanyaandhiang
1
Kanyadhiang
26
Kanyandhiang
1
Kanzokea
1
Kapupuni
1
Karachuonyo
15
Karatina
2
Karbanet
3
Karura
2
Kasipul
17
Kathiani
1
Kawangware
1
Kedobe
1
Kegoya
1
Kegoye
45
Kendu Bay
1
Kendu-Bay
1
Kengoye
6
Kericho
22
Keroka
2
Kerugoya
2
Keumbi
1
Keumbu
1
Khayega
2
Khayewa
1
Kiambu
29
Kiamburu
1
Kiamwangi
4
Kibaoni Fundisa
7
Kibishiku
1
Kiima kimwe
1
Kikambuani
1
Kikuyu
8
Kilifi
76
Kilungu
1
Kimilili
1
Kimutwa
4
Kinago
1
Kinangop
2
Kindinye
1
Kingera
1
Kinu
1
Kirie
3
Kirinyaga
1
Kirinyanga
6
Kisa
1
Kisateto
1
Kisau
1
Kisii
182
Kisii Central
2
Kisii town
4
Kisu
1
Kisumu
84
Kitale
9
Kithonguni
5
Kitui
20
Kitumba
18
Kitutu Chache
1
Kivaywa
5
Kkamega
2
Koibatek
5
Kongo
1
Koru
2
Krachuonyo
1
Kuwait
1
Kwa Mutisya
1
Kwale
14
Kwanza
2
Kwisero
1
Kyambuko
1
Laikipia
1
Lamu
27
Liboi
1
Limuru
7
Lita
1
Lododo
1
Loitoktok
1
Londodo
1
London
1
Luanda
1
Lubao
1
Lugari
51
Lumakanda
3
Lunga Lunga
8
Lungari
4
Lushola
5
Lusumu
26
MUranga
1
Mabanda
20
Mabrui
3
Machakos
97
Machoks
1
Mahanga
7
Majengo
3
Makadara
1
Makaveti
1
Makhukhuni
1
Makueini
1
Makueni
14
Makueni-Wote
1
Malaba
1
Malaha
13
Malanga
1
Malasya
1
Malindi
165
Mambrui
1
Manadera
2
Mandera
20
Mangauni
1
Mangu
1
Marafa
1
Maraga
2
Maragoli
3
Maragu
1
Marakusi
1
Marangua
1
Mariakani
2
Marsabit
2
Maseno
1
Masuguru
1
Matara
1
Matere
13
Matetani
7
Matonamana
1
Matunga
1
Matzugulu
1
Mau-narok
1
Mazaha
3
Mbagara
3
Mbale
56
Mbeere
1
Mbita
1
Mbiuni
1
Mbondoni
1
Mbooni
4
Mbukuga
1
Mchakos
1
Meru
11
Metembe Kisii
3
Mida
1
Migoi
1
Migori
396
Migoro
1
Mikinnani
1
Misufini
1
Mjumboni
1
Mogori
23
Molo
15
Mombasa
265
Mt.Elgon
5
Mtondia
3
Mtundio
5
Mugunga
1
Mukhoje
1
Mukinyi
2
Mukuli
9
Mukumu
6
Mumbai
1
Mumias
7
Munugi
1
Muranga
38
Musambeni
1
Musori
6
Musuluni
1
Mutembe
12
Muthetheni
1
Muuzaastsi
1
Muyeye
1
Mwala
2
Mwamba
3
Mwanyani
1
Mwanza
1
Mwea
1
Mwimuto
2
Mwingi
8
Mzulyu
1
Mzuri
1
Nabdi
1
Naiobi
5
Nairobi
273
Nairoi
1
Nairrobi
1
Naivasha
2
Nakuru
130
Nandi
16
Nanyuki
2
Narok
8
Narumoro
1
Ndagi
5
Ndeiya
1
Nderema
8
Ndhiwa
3
Ndiwa
1
Ndubai
4
Nduberi
7
Ndumberi
4
Ngamboji
1
Ngivusambo
1
Ngong
5
Nguuni
1
Nigeria
2
Nigori
3
Njoro
23
Njprp
1
North kinangop
1
North kinanongop
1
Ntimaru
1
Ntonyiri
2
Nyabola
1
Nyahururu
6
Nyakach
14
Nyakachi
1
Nyamache
1
Nyamagwa
1
Nyamarambe
1
Nyamira
36
Nyandarua
6
Nyando
8
Nyaribari
1
Nyaribari Masaba
4
Nyathuna
28
Nyatike
1
Nyaura
1
Nyeri
45
Nyokobara
1
Ogembo
1
Oyugis
34
Pakistan
1
Pan Paper
1
Pan paper
4
Pandya
1
Phillipines
1
Pumwani
3
Rabai
3
Racchuonyo
1
Rachuanyo
1
Rachunyo
1
Rachuony
1
Rachuonyo
264
Racxhuonyo
1
Ranchuonyo
1
Ranen
1
Rarienda
2
Riamagale
3
Riamagare
7
Riamangare
6
Riamathere
1
Rianaginga
5
Roka
1
Rongo
32
Ruiru
1
Rumagare
6
Ruui
1
Rwanda
1
Ryena
3
Sabaki
2
Sabatia
4
Samburu
6
Samia
2
Saud Arabia
1
Saudi Arabia
3
Shemahoho
1
Shianda
2
Shimoni
3
Shinyalu
15
Shirere
1
Shivakali
1
Shivanga
1
Shomela
1
Siakago
1
Siaya
362
Sigona
40
Sisiru
1
Solai
4
Somali
11
Somalia
7
Sotik
1
South Africa
1
South Korea
1
South maragoli
1
Suba
2
Sudan
1
Sulai
1
Suneka
6
Sweden
2
Taiata
1
Taita
9
Taiti
1
Tala
2
Tana River
12
Tana river
1
Tanzania
19
Taveta
4
Teso
1
Tharaka
2
Thika
35
Timboni
10
Tingania west
1
Tiriki
8
Tombe
2
Trans Nzoia
1
Tranzoia
1
Triki
1
UK
6
USA
5
USA-Michigan
2
Uasin Gishu
2
UasinGishu
1
Ubumangari
1
Uganda
8
Ugenya
4
Ugunja
1
Ukenyee
1
Ukundutsi
1
Uriri
1
Usenge
1
Uvalini
2
Vigese
4
Vigona
1
Viguhe
1
Vigulu
3
Vihiga
177
Voi
3
Wagige
1
Wair south
1
Wajir
22
Wajir south
1
Wanga
1
Wangige
1
Watamu
9
Webuye
5
Western
1
Wita
2
Yala
2
Yatta
1
Zanzibar
2
Zibalo
1
alindi
1
amagoro
4
amisi
1
bamba ganze
1
baringo
1
bondo
2
budaywa
1
bungoma
1
bunyore
2
busia
1
chango
1
charakli
1
chuka
3
congo
5
eldoret
1
embu
169
ethiopia
1
evungwe
1
gachie
1
gachode
10
garissa
54
garrisa
2
garrissa
5
gatanga
11
gathiga
1
gatundu
16
githunguri
2
gqrissa
1
gucha
1
homabay
1
idakho
1
idohi
3
ijaara
1
isiolo
1
isuka
1
jmbale
1
joro
1
kabondo
6
kadzinuni
1
kajiado
1
kakamega
22
kalama
1
kalimani
2
kaloleni
1
kamwangi
5
kandara
1
kangundo
33
kano
1
kanyadhiang
5
kapsabet
1
karbanet
1
kasipul
10
kegoya
1
kegoye
3
kendubay
1
kericho
4
kiambu
4
kiamwangi
8
kiamwangu
1
kiamwwangi
1
kigama
1
kiganjo
2
kihumbuini
1
kiima kimwe
1
kikampala
2
kikuyu
1
kilifi
21
kilindini
3
kilungu
1
kimbu
1
kimilili
1
kipkaren
1
kipkelio
1
kirinyaga
6
kiruguya
2
kisii
91
kisu
2
kisumu
22
kitale
3
kitui
4
koibatek
1
lamu
2
lugari
7
lumakanda
16
lumakanga
6
lumama
1
lumukanda
3
mabanda
1
machakos
29
magina
5
magui
1
maji mazuri
8
makadara
1
makindu
1
makueni
8
malaha
6
malindi
3
mandera
2
mangu
1
maragoli
3
maragua
1
marakusi
8
marere
1
masalani
1
maseno
1
mazuu
1
mbale
19
mbeere
3
mbooni
1
mbungu
1
meru
13
migoari
1
migori
10
misikhu
1
mlimani
1
molo
4
mombasa
15
mranga south
1
muranga
17
muranga south
1
mwarakaya
1
mwea
4
mwingi
3
nairbi
1
nairobi
78
nakuru
23
nandi
1
nanyuki
3
narok
1
narumoro
4
nderema
2
nduberi
1
neri
1
ngawalanji
7
ngulini
1
nigeria
3
njoro
3
ntimaru
3
nyakach
2
nyamira
4
nyeri
10
oyugis
5
rachuonyo
6
rarieda
1
ruiru
1
sabatia
4
shamitumba
1
shanzu
1
shinyalu
5
siaya
63
sigona
19
suba
1
suneka
104
taita
6
taita hills
1
tanzania
1
taveta
1
thika
20
thika town
1
tiriki
3
tombe
1
tulimani
2
uganda
2
ukia
2
uvalini
4
vegese
2
vihiga
17
vipingo
1
wajir
4
wakir
1
west Maragori
1
Birth place
8162
181
1
urban area within your country (place)
2758
2
rural area within your country (place)
5275
3
outside kenya (specify
129
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
181
Highest tertiary diploma obtained
If (NAME) has completed Tertiary or higher education, what is the highest diploma/degree that he/ she obtained?
(specify the area e.g. nursing, carpenter, law etc)
1159
7184
1
certificate
336
2
vocational or technical training diploma
398
3
bachelor's degree
290
4
master's degree
74
5
phd degree
17
6
other (specify)
40
7
millitary training
4
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
7184
Area of specialisation
If (NAME) has completed Tertiary or higher education, what is the highest diploma/degree that he/ she obtained?
(specify the area e.g. nursing, carpenter, law etc)
358
0
4th year
2
777
3
Accountant
1
Accounting
1
Accounts
3
Accounts CPAII
1
Agricultural Officer
1
Agriculture
1
Animal health
1
Animal husbandry
1
Applied science
1
Artisan
2
Auto Engeneering
1
Bachelor of commerce
1
Bachelor's degree in education
1
Banker
1
Banking
2
Business administration
3
Business administrator
1
CPA K
1
Carpentry
2
Catering
4
Certificate
1
Child
1
Commerce
1
Computer
2
Computer Programmer
1
Computer science
1
Construction
1
Crop research
1
Designer
1
Diploma
1
Driving
5
ECD
1
Early Child Development
1
Early Childhood development
1
Early childhood development
1
Ecology
2
Economics
2
Education
3
Electrical Engineering
1
Engeneering
1
Engineer
1
Engineering
2
Food and beverages
1
Hairdressing
1
Hostes
1
House keeping
1
Housewife
1
Human resource
1
IT
3
Information Technology
1
Information technology
2
Inservice
1
Institution management
1
Insurance
1
Journalist
1
MBA
1
Masonry
1
Mass Communication
1
Mechanic
3
Mechanical engineering
1
Mechanics
2
Medicine
3
None
22
Nurse
5
Nursing
3
Office management
1
P1 Teacher
1
PUPIL
1
Philosophy
1
Police training
1
Pupil
4
Road engeneer
1
Sale $marketing
1
Sales and marketing
1
Secretarial
4
Secretarial and Office Management
1
Tailoring
9
Teacher
7
Teaching
12
Theology
1
Tour guide
1
Tourism
1
Welding
2
accounting
1
accounts
3
agriculture
3
animal health
1
arts & craft
1
auto engineerin
1
bachelor of arts
1
banking
2
business administration
1
business management
1
carpentry
7
catering
4
community deveopment
1
computer
4
computer engineering
1
computer training
1
counseller
1
designer
1
dress making
1
driver
1
driving
4
education
2
electrical
1
engineer
1
engineering
1
fine art
1
fine arts
1
food and beverages
1
hairdresser
1
human reource
1
human resource
1
human resource management
1
lab technology
1
labaratory technician
1
labtechnologist
1
land surveyor
1
marketing
1
masonary
2
masonry
1
mass communication
1
mechanic
4
medical
2
medicine
2
mehanics
1
microbiology
1
nurse
4
nursery teacher
1
nursing
11
obsgyn
1
p1 teacher
1
pharmacy
2
quality assurance
1
sales and marketing
1
salonist
1
science and food technology
1
sciences
1
secretarial
5
secretary
6
social sciences diploma
1
social work
1
sociology
2
statistics
1
surveying
1
tailor
1
tailoring
4
teacher
12
teaching
41
teahcer
1
theology
3
tour guide
1
vertinary
1
veterinary
1
vetinary
1
vetinary sciences
1
welder
1
welding
1
Current work situation
What is (NAME)’s current work situation?
If answer is between 4 to 12 > Skip to NEXT SECTION.
7871
472
1
paid employment – full-time
1006
2
paid employment – part-time
194
3
self employed (full or part time)
1328
4
full-time student
2602
5
part-time student
35
6
unemployed / looking for work
766
7
retired from work altogether
323
8
housewife
708
9
long-term sick or handicapped
86
10
baby/child who can't work
823
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
472
Current principal occupation
What is (NAME)’s current occupation?
Note that question 1.3 is implied by the response in 1.2 and you do not have to ask the question. For question 1.13 ask what occupation and then categorize appropriately.
2466
5877
1
managers
128
2
professionals
386
3
technicians and associate professionals
103
4
clerical support workers
102
5
service and sales workers
581
6
agricultural, forestry and fishery workers
536
7
craft and related trades workers
113
8
plant and machine operators, and assemblers
24
9
elementary occupations
344
10
armed forces occupations
22
11
casual labourer
127
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
5877
Profession
What is (NAME)’s current occupation?
1306
0
4
1
AP Police
1
Accountanat
1
Accountant
8
Accounts clerk
1
Administration police
1
Administrator
2
Agricultural officer
2
Anaesthetician
1
Animal health technician
1
Architeoorial Designs
1
Artisan
1
Assistant manager
1
Auditing firm
1
Auditor
1
Bank Clerk
1
Bank Manager
1
Bank manager
3
Banker
10
Barber
2
Bicycle repair
1
Biotechnologist
1
Bishop
1
Boat Repair
1
Boda boda operator
1
Borehole Digging
1
Broker
1
Businesman
1
Business
10
Business Lady
1
Business Person
2
Business lady
6
Business man
3
Business person
8
Business woman
4
Businesslady
2
Businessman
8
Butcher
1
CEO his Company
1
CID officer
1
Care-Taker
1
Carpenter
3
Carpentry
1
Casual Labourer
1
Casual labourer
1
Caterer
1
Cateress
1
Chef
7
Chief
1
Chief Accountant
1
Chief Executive Officer
1
Clerical Officer
1
Clerk
1
Company Driver
1
Computer operator
1
Computer programmer
1
Contractor
1
Curo shop
1
Director shipping company
1
Doctor
6
Domestic Worker
1
Domestic worker
1
Dress Maker
1
Driver
33
Drving school intsructor
1
ECD pre-Unit
1
Economist
1
Electrician
6
Electritian
1
Engineer
11
Famer
1
Farmer
73
Farming
2
Finance
1
Finance officer
1
Financial controller adivisor
1
Flower Gradar
1
Food Kiosk
1
Food Vendor
1
Gardener
4
Gardner
1
Goat Seller
1
Green crocers
1
Grocery
1
Grocery Business
1
Hair dresser
1
Hair dressing
1
Hairdresser
5
Hawker
1
Homeboy
1
Hosehelp
1
Hotel
2
Hotel Manager
1
Hotel Owner
1
Hotel attendant
1
Hotel manager
1
Hotel mnager
1
Hotelier
5
House Help
1
House boy
1
House help
2
House wife
1
Househelp
5
Human Resource Manager
1
Human esource manager
1
IT Officer
1
Interior Designer
1
Jua Kali
3
Jua kali
1
Juakali
1
KPA
2
KRA Officer
1
KRA Official
1
Kiosk
1
Laborer
1
Labourer
3
Landlord
1
Lawyer
2
Lecture
1
Lecturer
1
Librarian
1
Livestock Officer
1
Loader
1
Machine Operator
1
Madras Teacher
1
Manager Bank
1
Manager KRA
1
Manages his own Business
1
Manages his own business
1
Managing director of advertising company
1
Marketer
1
Marketing
1
Mason
2
Masonary
2
Matatu Driver
2
Mechanic
2
Mechanics
1
Meteorologist
1
Migration Officer
1
Molasses Selling
1
Musician
1
NGO CEO
1
NSIS-COORDINATOR
1
NSIS-officer
1
Nurse
7
Operates food kiosk
1
Own Business
4
Painter
1
Pastor
6
Peasant Farmer
1
Pharmacist
1
Plumber
1
Police
1
Potter
1
Poultry farmer
1
Primary Teacher
1
Principal
1
Program officer
1
Programme Oficcer
1
Programme manager
1
Programme officer
1
Project Manager
2
Project Manager in NGO
1
Project officer
1
Public Relations
1
Quality Checker
1
Quarrying
3
Real estate manager
1
Receptionist
1
Research Consultanat
1
Researcher
2
Roads Inspector
1
Runs an hotel
1
Safaricom
1
Sale Curio item
1
Sale and marketing
1
Sales
2
Sales Milk
1
Sales Person
2
Saloon
1
Saloonist
1
Sarocomdealer
1
School cook
1
Secretary
1
Securicor
1
Sells Car parts
1
Sells Clothes
1
Sells Fish
1
Sells Groceries
2
Sells Vegetables
2
Sells clothes
1
Sells cosmetics
1
Sells phone accesories
2
Servant
1
Shamba Boy
2
Ship Captain
1
Shop Keeper
1
Shopkeeepr
1
Shopkeeper
8
Shopkeepr
1
Sisal Farm worker
1
Software development company
1
Sub farmer
1
Subsistence farmer
3
Subsitance famer
1
Subsitence Farmer
1
Substance farmer
1
Supermarket
1
Surveyor
1
Tailor
7
Tailoring
2
Taxi Driver
5
Taxi Operator
1
Teaccher
1
Teacher
34
Teaching
3
Technical engineer
1
Technician
1
Tourism
2
Town Council
1
Traditional liquor deller
1
Traditioner liquor deller
1
Trainer
2
USAID/RTI
1
United Nations
1
Vegetable Vendor
2
Waiter
3
Watchman
2
Water Operations
1
Witress
1
Works in a Hotel
1
account manager
1
accountant
8
administrator
3
agricultarist
1
agricultural officer
1
agricultural research
1
agricultural worker
1
agriculturalist
1
artist
1
banker
6
bar owner
1
barber
1
boda boda
1
boda boda operatoer
1
boda boda operator
1
bodaboda operaore
1
bodaboda operator
2
bookshop
2
brick maker
1
brick making
1
busineessman
1
business
14
business consultant
1
business lady
13
business man
5
business person
1
business woman
4
businesslady
7
businessman
9
businesswoman
3
bussiness man
1
busuness lady
1
butcherman
1
butchery
1
captain
1
caretaker
1
carpenter
11
carpentry
2
cash crop farmer
1
cashier
3
casual labourer
4
cateress
1
catering
1
cereal dealer
2
cereal seller
1
charcoal dealer
1
chef
1
cleaner
1
clearing and forwarding
1
clerk
4
clinical officer
3
communit worker
1
community development
1
compute engineer
1
computer business
1
computer programmer
1
computer technician
1
construction worker
1
contractor
2
cook
4
criminal investigator
1
dairy farmer
1
dairy keeper
1
day care institution
1
deputy school manager
1
designer
1
director
1
director of comp
1
doctor
2
domestic servant
1
domestic worker
2
driver
21
economist
1
editor
1
electrical shop
1
electrician
3
engineer
2
eseacher
1
famer
1
farm help
2
farm helper
1
farm labourer
3
farm worker
2
farmer
179
farmers
1
farmm labourer
1
financial consultant
1
fisherman
1
florist
1
flower farm worker
1
forest clerk
1
gardener
3
green grocer
2
green grocery
1
greengrocer
1
grocery
2
guard
1
guidance and counselling
1
hair dresser
1
hairdresser
3
hawker
4
health officcer
1
hotel
3
hotel business
1
hotel manager
1
hotel operater
1
hotelier
1
house help
2
house keeping
1
houseboy
1
houseby
1
househelp
7
human resource manager
1
importing clothes
1
inflight atttendant
1
information officer
1
inspector of schools
1
inspector police
1
jua kali
8
juakali
1
lab technician
2
labaratory
1
labaratory-technician
1
labourer
13
land surveyor
1
lecturer
6
lfower fram worker
1
livestock farmer
2
livestock-farmer
1
maizemiller
1
manager claering firm
1
manager in pub$ restaurant
1
manager merchandise shop
1
manager of an Academy
1
manager petrol station
1
managing director cooperative bank
1
mason
8
masonary
2
masonery
2
masonry
1
matatu operator
1
matatu tout
1
mechanic
8
mechanics
2
motor vehicle mechanic
1
musician
1
nurse
13
nursery teacher
2
nursing
4
parking tea leaves in a factory
1
pastor
4
peasant farmer
4
phamarcist
1
pharmacist
1
photpcopy business
1
plant Engineer
1
plant machine operator
1
post mssenger
1
potter
1
program manager
2
programme manager NGO
1
project manager
1
public health officer
1
registration clerk
1
repairing bicycles
1
repairing of bicycles
1
researcher
1
retail shop seller
1
road engeneer
1
safaricom dealer
1
sale lady
1
sales
1
sales "Miraa"
1
sales and marketing
3
sales executive
1
sales lady
8
salesman
2
sallon
1
salonist
1
saloonist
4
school manager
1
secondary school teacher
1
secretary
11
selling charcoal
1
selling clothes
1
selling clthes
2
selling greeen grocery
1
sells Groceries
1
sells car part
1
sells cearals
1
sells cereals
1
sells clothes
5
sells curios
1
sells fish
2
sells food
1
sells groceries
3
sells groundnuts
1
sells paraffin
1
sells phone accesories
1
sells phones
1
sells vegetables
1
servant
5
shamba boy
3
shoe vender
1
shopkeeper
15
shpokeeper
1
small scale farmer
1
social service officer
1
software development company
1
statistician
1
store manager
1
store-keeper
1
student
1
subsistance farmer
2
subsistence farmer
3
subsistence farming
1
subsitance farmer
2
tailor
11
tailoring
2
taxi driver
2
taxi operator
1
teacher
71
teaching
7
technical manager
1
telephone operator
1
tour guide
1
truck driver
2
vegatable vendor
1
vertinary officer
1
veterinary
1
veterinary doctor
1
vetinary officer
1
videographer
1
waiter
4
waitress
2
waittress
1
watchman
3
water Technician
1
water technician
1
weeding decorator
1
welder
3
Relationship to HH head
Note that the household head is not necessary the “father” or the “mother”.
8197
146
1
head
1897
2
spouse
1146
3
partner
13
4
son/daughter
3593
5
son/daughter-in-law
93
6
father/mother
31
7
brother/sister
167
8
parent-in-law
21
9
grandson/granddaughter
713
10
nephew/niece
132
11
other relative
153
12
servant / employee
183
13
other non-relative
55
777
n/a
0
888
dk
0
999
missing
0
Sysmiss
146
Religion
8222
121
1
moslem
1396
2
catholic
1863
3
protestant
4813
4
traditional
77
5
other
4
6
no religion
47
7
hinduisim
14
8
jewish
2
9
budhist
6
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
121
Tirbe
8185
158
1
kikuyu
1353
2
luo
1838
3
kalenjin
102
4
kamba
545
5
kisii
617
6
luhya
1416
7
kenyan
28
8
meru
48
9
embu
405
10
kipsigis
9
11
briton
7
12
indian
25
13
borana
6
14
cuothi
2
15
parsee
2
16
irish
1
17
brazilian
1
18
dutch
2
19
italiano
3
20
digo
104
21
samburu
1
22
taita
58
23
pokot
8
24
somali
381
25
canadian
4
26
finish
1
27
nigerian
6
28
rwandese
2
29
maasai
8
30
ogaden
168
31
pokomo
55
32
dogodhia
26
33
garre
2
34
girriama
322
35
scottish
1
36
burundian
6
37
ethiopia
7
38
nubian
8
39
congolese
15
40
ghananian
1
41
ugandan
1
42
seychellois
2
43
germanese
5
44
hebrew
1
45
swedish
2
46
harsee
3
47
awthak
13
48
ajuran
3
49
mbeere
12
50
kauma
48
51
arab
119
52
bajuni
108
53
chonyi
59
54
mjibana
8
55
mnyamwezi
2
56
tirimi
3
57
duruma
17
58
orma
6
59
mukambe
1
60
mugunya
3
61
rabai
3
62
hindu
7
63
mnyasa
6
64
kuria
5
65
banyore
5
66
maragoli
54
67
bukusu
2
68
idakho
2
69
sukha
14
70
tiriki
14
71
sumra
18
72
kissi
1
73
mujita
1
74
ribe
13
75
philipine
1
76
bhrahmin
6
77
swahili
17
78
danish
1
79
american
5
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
158
Highest level of schooling completed
What is the highest level of schooling that (NAME) completed?
8203
140
1
no formal education
2269
2
primary school
3058
3
secondary school
1640
4
post-primary technical/vocational school
144
5
post-secondary technical/vocational school
619
6
university undergraduate
346
7
graduate school
102
8
other (specify)
9
9
don’t know
16
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
140
Number of years of schooling completed
How many total years of schooling has (NAME) completed in the indicated level?
5899
2444
1
25
8.013
4.379
Migration destination
8343
0
1
Local migrants
2399
2
OECD countrys
1893
3
Africa countrys
870
4
Others countrys
277
5
Non migrant
2904
HH unique ID
1896
0
1
Existence of bank account for HH member
Does anyone in your household have a bank account?
If yes, copy ID of each person with bank account.
1896
0
1
yes
1893
2
no
3
ID code of member with bank account
Does anyone in your household have a bank account?
If yes, copy ID of each person with bank account.
Q4.1 asks whether anyone in the household has a bank account. It is important here to copy the ID (identification of the member from the listing of household members) of each and every person in the household who has a bank account.
1896
0
1
1153
2
481
3
153
4
76
5
29
6
3
9
1
777
n\a
0
888
dk
0
999
missing
0
Number of years since the first account opening
How long has he/she had the bank account?
Q4.2 collects information on how long each person has had a bank account
1848
48
777
n\a
888
dk
999
missing
Purpose of opening the first bank account 1
What was the purpose of opening his/ her bank account?
Q4.3 asks why each person decided to open a bank account.
1841
55
1
savings
1333
2
sending money
29
3
receiving money
193
4
taking loans
34
5
salary
251
6
other (specify)
1
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
55
Purpose of opening the first bank account 2
What was the purpose of opening his/ her bank account?
Q4.3 asks why each person decided to open a bank account.
107
1789
1
savings
16
2
sending money
30
3
receiving money
25
4
taking loans
9
5
salary
27
6
other (specify)
0
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
1789
Purpose of opening the first bank account 3
What was the purpose of opening his/ her bank account?
Q4.3 asks why each person decided to open a bank account.
37
1859
1
savings
0
2
sending money
4
3
receiving money
24
4
taking loans
3
5
salary
6
6
other (specify)
0
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
1859
Purpose of opening the first bank account 4
What was the purpose of opening his/ her bank account?
Q4.3 asks why each person decided to open a bank account.
20
1876
1
savings
0
2
sending money
0
3
receiving money
2
4
taking loans
10
5
salary
8
6
other (specify)
0
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
1876
Purpose of opening the first bank account 5
What was the purpose of opening his/ her bank account?
Q4.3 asks why each person decided to open a bank account.
13
1883
1
savings
1
2
sending money
0
3
receiving money
0
4
taking loans
3
5
salary
9
6
other (specify)
0
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
1883
Have an ATM or debit card
Does this person have an ATM or Debit card?
1861
35
1
yes
1495
2
no
365
3
1
777
n\a
0
999
missing
0
Sysmiss
35
Ever use mobile phone to make bank transactions
Does this person ever use mobile phone to make bank transactions?
1848
48
1
yes
555
2
no
1293
777
n\a
0
999
missing
0
Sysmiss
48
HH unique ID
2245
0
Person ID
2245
0
Existence of a member living outside HH (migrant)
Does your household currently have a member not living within the household?
2209
0
A member who has lived outside for more than six months
Sex of migrant
What is the sex of (NAME) who is currently living outside your household?
Q5.2 to Q5.4 ask about the sex, age and relationship to the head of household of each former member of the household who is currently living outside of the household.
2236
9
1
male
1317
2
female
919
777
n\a
0
999
missing
0
Sysmiss
9
Age of migrant
How old is (NAME) who is currently living outside your household?
YEARS
Q5.2 to Q5.4 ask about the sex, age and relationship to the head of household of each former member of the household who is currently living outside of the household.
2173
72
0
none
0
1
1
2
2
3
1
4
3
5
2
6
2
7
5
8
5
9
9
10
6
11
8
12
9
13
3
14
7
15
7
16
14
17
9
18
32
19
28
20
75
21
41
22
67
23
70
24
88
25
125
26
98
27
92
28
133
29
71
30
139
31
62
32
92
33
54
34
53
35
103
36
54
37
54
38
47
39
39
40
80
41
19
42
42
43
24
44
20
45
44
46
21
47
22
48
28
49
17
50
27
51
6
52
14
53
10
54
11
55
15
56
10
57
5
58
5
60
9
61
1
62
3
63
3
65
5
66
3
67
3
69
3
70
7
72
1
74
1
75
2
80
1
82
1
777
n\a
0
888
don't know
7
999
missing
0
Sysmiss
65
Age group
Q5.2 to Q5.4 ask about the sex, age and relationship to the head of household of each former member of the household who is currently living outside of the household.
2172
73
1
18 and below
125
2
19-25
496
3
26-35
897
4
36-50
535
5
over 50
119
Sysmiss
73
Relationship of migrant to the head of HH
What is the relationship of (NAME) to the head of the household?
Q5.2 to Q5.4 ask about the sex, age and relationship to the head of household of each former member of the household who is currently living outside of the household.
2209
36
1
spouse
269
2
son/ daughter
1489
3
son/ daughter-in-law
87
4
father/ mother
62
5
brother/ sister
227
6
grand daugther/grandson
40
7
non-relative
2
8
other relatives
33
777
n\a
0
999
missing
0
Sysmiss
36
Current marital status of migrant
In what country was (NAME) born?
2231
14
1
urban area within your country (place)
915
2
rural area within your country (place)
1150
3
outside kenya specify
166
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
14
Birth place of migrant
1905
0
999
34
America
4
Baringo
5
Baringo Central
1
Baringo central
1
Belgium
1
Bomani
1
Bondo
1
Brazil
1
Britain
4
Buhana
1
Buhani
2
Bungoma
8
Bunyala
4
Bunyaor
1
Bunyoke
1
Busia
3
Butere
1
Canada
7
Chuda
2
Congo
3
Dadaab
3
Denmark
2
Dubai
4
Ehtiopia
1
Eldoret
8
Embu
59
Esabure
1
Esigilai
4
Gachie
15
Gahcie
1
Garissa
84
Gatanga
5
Gathiga
6
Gathika
1
Gattundu
1
Gatundu
8
German
3
Germany
4
Gilgil
1
Githunguri
1
Gongoni
12
Gonngoni
1
Gucha
19
Hansburg
1
Homabay
2
Idereli
8
Idereri
6
Igeze
1
Ikuruma Kisii
3
Indakhalasi
2
Indereli
2
India
5
Ireland
1
Isiolo
3
Italy
7
Juja
3
Kabaa
1
Kabondo
1
Kagombani
1
Kagombori
1
Kaimosi
2
Kakamega
27
Kakamenga
1
Kaloleni
1
Kamwangi
6
Kangundo
26
Kanyadhiang
9
Kanyandhiang
2
Kapenguria
1
Karachuonyo
2
Kasipul
5
Kasombari
2
Kauma
1
Kavalanji
2
Kegoye
12
Keicho
1
Kericho
9
Kerocho
1
Keroka
2
Kiabugura
1
Kiambu
2
Kiamwangi
2
Kiamwangui
1
Kikuyu
3
Kilifi
6
Kilome
1
Kinango
1
Kirinyaga
1
Kisii
76
Kisii town
1
Kisumu
33
Kitale
3
Kitengela
1
Kithimu
2
Kitui
4
Kitumba
11
Kitutu chache
1
Kwale
2
Lamu
10
Limuru
2
Loduar
1
Loitoktok
1
Londodo
1
London
2
Lugari
2
Lugulu
1
Lusola
1
Mabanda
4
Mabrui
2
Machakos
7
Madanda
1
Magarini
1
Magina
1
Mahanga
3
Makueini
2
Makueni
8
Makuieni
1
Malaha
3
Malindi
21
Mandera
4
Mangu
3
Maseno
1
Matere
2
Mbale
17
Mbeere
1
Mbooni
1
Meru
6
Migori
72
Modogashe
1
Mogori
2
Molo
6
Mombasa
56
Muhoroni
1
Mukuli
2
Mukumu
1
Mumias
4
Muranga
11
Mutembe
7
Mutuate
1
Mwaani
1
Mwala
1
Mwimuto
1
Mwingi
1
Naiobi
2
Nairobi
186
Nairoobi
1
Naivasha
2
Nakuru
59
Namimbia
1
Nandi
5
Nanyuki
1
Narok
1
Navakholo
1
Ndagi
1
Nderema
3
Nduberi
2
Ndumberi
2
Nertherlands
1
Nigeria
5
Njoro
2
Norway
3
Nyamira
13
Nyandarua
1
Nyaribari Masaba
1
Nyatike
1
Nyeri
11
Oyugis
11
Rabai
1
Rachuonyo
47
Ranchuonyo
1
Riamagale
1
Riamagara
3
Riamagare
2
Rimagare
1
Rongai
2
Rongo
5
Ruiru
1
Rwanda
2
Ryena
9
S.Arabia
1
Sabatia
1
Saudi Arabia
2
Shiandu
1
Shinyalu
1
Siaya
74
Siguta
1
Somali
5
Somalia
1
South Afirca
1
South Africa
1
South africa
1
South korea
2
Suba
1
Sudan
4
Suneka
3
Taiata
1
Taita
6
Tana River
1
Tana river
4
Tanariver
1
Tanzania
6
Texas
6
Thika
14
Tingania
2
UAE
1
UK
13
UK-London
1
US
1
USA
30
Uganda
6
Ugenya
1
Uk
1
United Emirates
1
Usenge
1
Uvalini
1
Vigese
1
Vihiga
22
Vuhiga
1
Wajir
2
Watamu
2
Watamu-Mombasa
1
Webuye
5
Wito
2
Zanzibar
1
america
1
baringo
1
bungoma
1
bunyore
1
butere
1
canada
2
congo
1
embi
1
embu
27
gachode
3
garisa
2
garissa
9
garrisa
1
garrissa
1
gatanga
2
gatundu
2
germany
8
hamisi
1
kakamega
5
kamwangi
6
kangema
1
kangundo
5
kasipul
1
kegoye
11
kiamba
1
kiambu
1
kiamwangi
2
kiamwangui
1
kiganjo
5
kikampala
1
kilifi
3
kisii
20
kisumu
10
kitale
8
lodwar
1
lumakanda
3
machakos
4
maji mazuri
2
makueni
2
malaha
1
malindi
2
mandela
1
mangu
2
mariakani
1
maseno
1
mbale
10
meru
4
migori
5
mombasa
8
mtwapa
1
munzatsi
1
muranga
9
nairobi
56
nakuru
4
nderema
1
njoro
2
nyeri
4
oyugis
6
rachuonyo
7
rarieda
1
rongo
2
rutune
1
sabatia
2
scotland
1
siaya
21
suneka
31
taita
1
thika
8
tulimani
3
usa
1
vihiga
1
wajir
1
webuye
1
Primary reason for migrant living outside HH
What is the primary reason why (NAME) is currently living outside your household?
2236
9
1
education
582
2
search for work
561
3
job transfer/job opportunity
713
4
civil conflict/ war
2
5
marriage arrangement
177
6
divorce/marriage dissolution
6
7
death of spouse or partner
0
8
family problems
27
9
moved to join other family members
75
10
return to original or previous home
63
11
do not own agricultural land to work here / don’t have enoug
12
12
poor quality of land or depleted soils
1
13
health problems
4
14
drought
0
15
political factors
1
16
won green card
12
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
9
Migrant working/looking for work
Is (NAME) who is currently living outside your household working or looking for work?
Q5.7 asks about the “work status” of each former household member who is currently living outside of the household.
2224
21
1
yes, currently working
1480
2
yes, currently looking for work
154
3
no
561
4
don’t know
29
777
n\a
0
999
missing
0
Sysmiss
21
Current residence of migrant (local/foreign)
2206
39
0
local
1204
1
foreign country
1002
Sysmiss
39
Current residence of migrant (by locality)
2206
39
1
oecd
653
2
africa
253
3
other
96
4
local urban
996
5
local rural
208
Sysmiss
39
Current residence of migrant (name)
998
0
.
1
999
4
Athi river
2
Bam
1
Banana
2
Baringo
1
Bondo
2
Bungoma
5
Bunyala
2
Bunyore
4
Busia
8
Butere
1
Changamwe
1
Dadaab
1
Dadab
1
Eldamaravin
2
Eldoret
38
Embu
10
Garissa
6
Gathiga
2
Gatundu
1
Gilgil
4
Homabay
9
Isiolo
2
Juja
1
Kabanas
1
Kabungi
1
Kakamega
4
Kakamenga
1
Kapsabet
2
Kenyeya
2
Kericho
12
Kerocho
1
Kiambu
4
Kiambu town
1
Kibwezi
1
Kilgoris
1
Kilifi
1
Kisii
10
Kisumu
39
Kitale
8
Kithimu
2
Kitui
4
Kuria
2
Lamu
2
Likoni
3
Limuru
5
Loduar
1
Loi
1
Loitoktok
1
Lungale
2
Machakos
6
Machokos
1
Makuba
1
Makueini
2
Makueni
5
Malaba
1
Malindi
2
Mandera
2
Masalani
1
Maseno
1
Mbeere
1
Mbooni
1
Mchakos
1
Meru
4
Migori
9
Mogori
1
Moi's Bridge
1
Molo
4
Mombasa
55
Muhoroni
2
Mumias
9
Muranga
1
Mwea
1
Nairobi
403
Naitiri
4
Naivasha
7
Nakuru
35
Nanyuki
2
Narok
15
Ndenderu
1
Nduberi
1
Niarobi
2
Njoro
4
Nyahururu
2
Nyamira
3
Nyathuna
1
Nyeri
7
Nzoia
1
Oyugis
1
Riandu
1
Rongai
2
Siaya
1
Soi
1
Sondu
1
Suba
1
Taiata
1
Taita
1
Tana River
1
Teso
1
Texas
4
Thika
5
Tigania
1
Trans-mara
1
USA
1
Uasin Gishu
1
Ugenya
1
Ukunda
1
Vihiga
4
Wajir
5
Wangige
1
Westland
1
bungoma
1
eldoret
2
embu
4
finland
1
gachura
1
kakamega
1
kamae
3
kandara
1
kangema
1
kericho
1
kisii
1
kisumu
3
kitale
1
kitengela
1
likaya
1
maasai mara
1
machakos
2
malindi
2
mandera
1
mangu
6
meru
1
mombasa
13
mumias
1
muranga
3
mwingi
1
nairobi
56
naivasha
1
nakuru
2
narok
1
njoro
1
ntheruri
1
nyahururu
1
nyeri
2
othaya
1
rongo
1
ruiru
2
rutune
1
shinyalu
3
sigona
2
thika
5
ufanisi
1
webuye
1
western
1
Means of transportation for migration
1156
1089
1
road
683
2
air
470
3
water
3
777
n/a
0
888
don't know
0
999
missing
0
Sysmiss
1089
Provider of fund for migration
1138
1107
1
friends
112
2
other relatives
237
3
self
478
4
parents
260
5
employer
38
6
spouse
11
7
sponsor
1
8
greencard
1
Sysmiss
1107
906
1339
1
no other country
814
2
india
7
3
usa
7
4
uk
12
5
nigeria
5
6
tanzania
16
7
sudan
2
8
norway
2
9
united emirates (uae)
3
10
switzerland
2
11
german
4
12
ethiopia
2
13
saudi arabia
1
14
australia
3
15
uganda
10
16
malawi
1
17
iraq
1
18
somali
0
19
italy
2
20
congo
3
21
zanzibar
2
22
botswana
2
23
rwanda
1
24
libya
1
32
1
40
2
Sysmiss
1339
Duration migrant living in current location (years)
How long has (NAME) lived in his/her current location?
2058
187
1
56
6.457
6.678
777
n\a
999
missing
Duration migrant living in current location (months)
How long has (NAME) lived in his/her current location?
882
1363
1
30
5.752
3.49
777
n\a
999
missing
Number of months migrant living in current location
2170
75
1
672
75.558
79.489
777
n\a
999
missing
Month group of migrant living in current location
2176
69
1
12 and less
255
2
13-36
590
3
37-60
491
4
61-120
520
5
over 120
320
Sysmiss
69
Marital status of migrant
What is the present marital status of (NAME)?
2223
22
1
married
1131
2
engaged to be married
40
3
cohabiting/consensual union
9
4
separated
29
5
divorced
18
6
widowed
27
7
single/never married
949
8
dont know
20
777
n\a
0
999
missing
0
Sysmiss
22
Living situation of migrant in current residence
Who does (NAME) live with in his/her current location?
2211
34
1
alone
931
2
spouse
538
3
children
125
4
brother or sister
196
5
other relatives
212
6
household employer
21
7
don’t know
41
8
friend
20
9
spouse & children
126
23
1
777
n\a
0
999
missing
0
Sysmiss
34
Highest schooling level completed before migration
What was the highest level of schooling that (NAME) completed before he/ she left the household?
2214
31
1
no formal education
65
2
primary school
407
3
secondary school
979
4
post-primary technical/vocational school
45
5
post-secondary level technical/vocational school
325
6
undergraduate university
251
7
graduate school
130
8
other (specify)
3
9
don’t know
9
777
n\a
0
999
missing
0
Sysmiss
31
Number of years of schooling completed before migration
How many total years of schooling had (NAME) completed at the time of migration?
2115
130
0.6
40
11.008
4.398
0
none
777
n\a
999
missing
Tertiary diploma obtained before migration
If (NAME) completed tertiary or higher education before he/she left the household, what was the highest qualification
777
1468
0
1
1
bachelor's degree
263
2
vocational or technical degree
307
3
master’s degree
62
4
phd degree
11
5
mba
6
6
teaching certificate
57
7
medical degree
18
8
nursing degree
27
9
law degree
5
10
accountant
11
11
computer
3
12
police officer
6
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
1468
Work situation of migrant before migration
Before (NAME) left the household, what was his/her work situation?
Q5.15 to Q5.17 ask questions about the current work situation and occupation about each and every person currently living outside of the household.
2196
49
1
paid employment – full-time
464
2
paid employment – part-time
95
3
self employed (full or part time)
158
4
full-time student
673
5
part-time student
16
6
unemployed / looking for work
727
7
retired from work altogether
11
8
housewife
40
9
long-term sick or handicapped
1
10
other (specify)
11
777
n\a
0
999
misiing
0
Sysmiss
49
Current work situation of migrant
What is (NAME)’s current work situation?
Q5.15 to Q5.17 ask questions about the current work situation and occupation about each and every person currently living outside of the household.
2126
119
1
paid employment – full-time
1124
2
paid employment – part-time
172
3
self employed (full or part time)
194
4
full-time student
319
5
20
6
unemployed / looking for work
167
7
retired from work altogether
11
8
housewife
62
9
long-term sick or handicapped
5
11
other (specify)
1
12
don’t know
51
777
n\a
0
999
missing
0
Sysmiss
119
Current occupation of migrant
What is (NAME)’s current occupation?
Indicate the profession indicated e.g. teacher and code it appropriately
Q5.15 to Q5.17 ask questions about the current work situation and occupation about each and every person currently living outside of the household.
1536
709
1
managers
78
2
professionals
458
3
technicians and associate professionals
102
4
clerical support workers
93
5
service and sales workers
230
6
agricultural, forestry and fishery workers
39
7
craft and related trades workers
70
8
plant and machine operators, and assemblers
28
9
elementary occupations
212
10
armed forces occupations
44
11
don’t know
180
12
2
777
n\a
0
999
missing
0
Sysmiss
709
Profession of migrant
What is (NAME)’s current occupation?
Indicate the profession indicated e.g. teacher and code it appropriately
Q5.15 to Q5.17 ask questions about the current work situation and occupation about each and every person currently living outside of the household.
627
0
11
1
Accontant
1
Accountant
18
Administration police
1
Administrator
1
Airhostess
2
Airport Worker
1
Architect
1
Army
1
Ass. HR officer
1
Auditor
1
Bank Credit Manager
1
Bank Manager
1
Bank manager
1
Banker
8
Banking
1
Beautician
1
Britsh Army
1
Business
1
Business Lady
1
Business Manager
1
Business lady
2
Business person
1
Business woman
1
Businesslady
3
Businessman
1
Cabin Crew
1
Cashier
1
Caterer
2
Chef
4
Cleaner
1
Clerk
1
Clinica; Counsellor
1
Community development officer
1
Computer engineering
1
Computer programmer
3
Consultant
1
Cook
2
Counsellor
1
Diplomat
1
Doctor
19
Driver
28
Elderly Care
1
Electrician
1
Engeneer
2
Engineer
6
Evangelist
1
Farmer
2
Fishery Factory
1
Flourist
1
Hair dresser
1
Hospital Administrator
1
Hotel
1
Hotel Keeper
2
Hotel Manager
1
Hotel manager
3
Hoteleir
1
Hotelier
2
House Keeping
2
Househelp
3
Housewife
1
I.T business
1
IT Software Speacilist
1
IT officer
2
IT specialist
1
IT technician
1
Information Technology
1
Information technology
1
Information technology technician
1
Information techonolgy officer
1
Insurance clerk
1
Insurance company
1
Journalist
3
Lawyer
9
Lecturer
3
Manager
1
Manager KMC
1
Marketing
1
Marketing manager
1
Mason
1
Masonary
1
Mechanic
4
Mechanics
1
Nurse
16
Nurse aide
1
Nursing
5
Own Business
1
Paramedics
1
Pastor
1
Permanent Secretary
1
Petrol Station Attendant
1
Pharmacist
1
Police
1
Project Manager
1
Relief Advisor
1
Researcher
1
Roads engineer
1
Runs a Hotel
1
Sailor
1
Saloon
1
Secretary
2
Sells Clothes
1
Sells Fish
1
Shop Attendant
1
Shop attendant
1
Store man
1
Student
3
Tailor
4
Teacher
10
Teaching
5
Telephone Operator
1
Tour Guide
1
Tracier manager
1
Tuk Tuk Operator
1
US Marine
1
United Nations
1
Vetinary officer
1
Waiter
5
Waitress
1
Welder
3
Welding
1
accountant
9
accounts clerk hotel
1
administrator
2
animal husbandry
1
architect
1
artician
1
auto-mechaninc
1
bank manager
1
banker
5
barber
1
beuaty therapy
1
businesman
1
business
4
business lady
1
business man
1
business management
1
business manager
1
businessman
3
bussiness lady
1
cabin crew
2
car washer
1
caring for the old
1
carpenter
2
cashier
3
casual labourer
1
caterer
1
catering
1
chef
2
chief
1
civil engineering
1
cleaner
1
clearing and forwarding
1
clerk
5
clerk airport
1
clerk bank
1
clerk union car bag
1
clinical officer
1
commmnication manager
1
computer
1
computer engineerin
1
computer operator
1
conductor
1
contructor
1
cook
2
counsellor
1
customer care
1
debit manager/stachart bank
1
designer
1
director
1
doctor
6
dressmaker
1
driver
21
economist
1
electrical engineer
2
electrical shop
1
electrical technician
1
electrician
6
electritian
1
engeneer
1
engineer
4
engineering
1
fabricator
1
farmer
10
fashion designer
3
fisherman
2
florist
1
forester
1
global marketing manager
1
guard
1
haidresser
1
hairdresser
2
hawker
1
health officer
3
hotel manager
1
hotelier
1
house keeper
1
househelp
4
insurance manager
1
investor
1
it expert
2
kenol kobil attendant
2
knitting sweeters
1
lab technician
1
labaratory technician
1
labourer
1
lawyer
1
leathering
1
lecturer
4
lecturere
1
lega advisor
1
machine assembly
1
mason
2
masonary
1
masonery
1
mechanic
9
mechanics
3
medical officer
1
messenger
1
millitary
1
motor mechanic
1
musician
1
network engeeneer
1
news editor
1
nurse
19
nursing
9
nutitionist
1
office messenger
1
painter
1
petrol station attendant
1
phamarcist
1
pharmacist
1
pilot
1
planning advisor
1
plant machine operator
1
plumber
1
police
1
post mistress
1
preacher
1
printing
1
professor-University of nairobi
1
programme officcer
1
receptionist
1
researcher
1
sales
2
sales agent
1
sales lady
2
sales lady (clothes)
1
sales man
1
sales person
1
sales person in a shop
1
sales representative
1
sales supermarket
1
sales woman
1
salesman
1
saloonist
2
secretary
7
security guard
1
selling clothes
1
selling new clthes
1
sells clothes
2
sergent
1
shoemaker
1
shopkeeper
1
social scientist
1
social worker
1
soldier
1
steel engineer
1
stores manager
1
surgeon
2
tailor
4
teacher
43
teaching
3
transport
1
truck driver
2
waiter
7
watchman
1
water engeener
1
welder
7
welding
1
Money sent to migrant by HH after migration
Does (NAME) send any money to your household?
If answer is 2 > Go to Q5.23 (q5_23 - variable name in dataset).
2233
12
1
yes
1112
2
no
1121
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
12
Number of money transfers by migrant to HH in past 12months
In the past 12 months, how many times has (NAME) sent money to your household?
1065
1180
1
150
5.401
6.319
0
none
777
n\a
999
missing
Money sending chanel by migrant to HH
How does (NAME) usually send money to your household?
1073
1172
1
western union
222
2
moneygram
106
3
other money transfer operator
7
4
postal money order
14
5
direct transfer to bank account
79
6
bank as paying agent for money transfer operator (e.g. weste
40
7
foreign exchange bureau
33
8
credit union
0
9
travel agency
6
10
informal individual agents
11
11
mobile phone/ telecommunications service providers (mpesa, z
350
12
through friend or relative
63
13
courier, bus, or other transport
13
14
brought back himself during visit
123
15
pre-paid cards/ atm card, re-loadable card, smart card
0
16
internet money transfer
2
17
other (please specify)
4
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
1172
Total amount of remittances sent by migrant to HH in past 12months
In the past 12 months, how much money in total has (NAME) sent to your household?
1056
1189
100
20000000
138580.024
911639.035
0
none
0
100
2
200
1
250
1
300
3
400
2
500
11
580
1
600
2
800
2
1000
19
1075
1
1200
4
1400
2
1500
10
2000
48
2200
1
2500
8
2900
1
3000
32
3500
2
4000
28
4200
1
4500
2
4600
1
4800
1
5000
32
5400
1
5500
1
6000
26
6500
1
7000
10
7500
3
8000
27
9000
7
10000
67
11000
3
12000
18
13000
3
14000
8
15000
25
16000
5
17000
5
18000
19
19000
1
20000
62
21000
5
22000
2
23000
2
24000
21
25000
10
26000
2
27000
4
28000
3
28700
1
30000
43
30900
1
31000
1
32000
1
33000
2
34000
1
35000
8
35400
1
36000
10
37500
1
38000
1
40000
32
42000
2
43000
1
45000
2
47000
1
48000
11
49000
2
50000
43
52000
3
55000
1
56000
2
58000
1
60000
35
63000
1
66000
1
70000
12
71000
1
72000
5
75000
3
76000
1
80000
22
82000
1
84000
8
84500
1
85000
1
90000
8
95000
1
96000
5
100000
37
102000
1
114000
1
120000
25
125000
1
130000
1
134000
1
136000
1
140000
3
144000
4
150000
14
155000
1
159000
1
160000
4
165000
1
168000
1
178000
1
180000
9
190000
1
200000
14
204000
1
210000
3
220000
2
230000
1
235000
1
240000
4
242000
1
260000
1
270000
1
280000
1
288000
1
300000
15
320000
2
350000
2
360000
1
390000
1
396000
1
400000
6
420000
1
440000
1
480000
1
500000
8
520000
1
540000
1
578000
1
600000
5
700000
2
705000
1
710000
1
750000
2
800000
3
1000000
9
1005000
1
1200000
2
1440000
1
1500000
1
2000000
5
3000000
1
6000000
2
19000000
1
20000000
1
777
n\a
0
999
missing
0
Sysmiss
1189
Recipient of money sent by migrant to HH
582
1663
1
spouse
185
2
father/mother
306
3
brother/sister
44
4
son/daughter
11
5
cousin
4
777
n/a
26
888
dont know
0
999
missing
6
Sysmiss
1663
Amount group of remittances sent by migrant to HH in past 12months
1076
1169
0
0
20
1
10000 and less
361
2
10001-50000
363
3
50001-100000
155
4
over 100000
177
Sysmiss
1169
Goods sent/brought by migrant to HH in past 12months
Does (NAME) send/bring food and/or goods to your household?
If answer is 2 > Go to Q5.26 (q5_26 - variable name in dataset).
1835
410
0
2
1
yes
375
2
no
1456
6
2
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
410
Total value of food/goods sent/brought by migrant to HH in past 12months
What is the value of food and goods that (NAME) has sent/brought to your household in the past 12 months?
VALUE (LOCAL CURRENCY)
353
1892
200
2400000
28003.853
140423.207
0
none
0
200
3
280
1
500
6
550
2
600
1
650
1
700
2
720
1
750
1
1000
21
1200
2
1300
2
1400
1
1500
6
1800
4
2000
39
2100
2
2200
1
2500
3
2700
3
3000
28
4000
21
4300
1
4320
1
4500
1
5000
32
5400
1
5500
1
5600
1
6000
10
7000
7
7800
1
8000
9
9000
1
10000
32
10400
1
11640
1
12000
3
12500
1
13000
4
14000
1
15000
6
16000
2
17000
1
18000
2
20000
18
22000
2
23000
1
24000
1
25000
3
26000
1
27000
1
28000
1
30000
10
34000
1
35000
1
36000
2
37000
1
40000
6
48000
1
50000
6
58200
1
60000
2
70000
4
79000
1
89500
1
90000
1
99000
1
100000
4
120000
2
180000
1
207000
1
300000
1
400000
1
430000
1
500000
3
2400000
1
777
n\a
0
999
missing
0
Sysmiss
1892
Number of money transfers by HH to migrant in past 12months
In the past 12 months, how many times have you sent money to (NAME)?
1811
434
0
48
0.736
2.313
0
none
1455
1
81
2
88
3
82
4
32
5
7
6
18
7
5
9
4
10
13
11
3
12
20
13
1
24
1
48
1
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
434
Money sending chanel by HH to migrant
How did you send money to (NAME)?
342
1903
1
western union
46
2
moneygram
19
3
other money transfer operator
0
4
postal money order
2
5
direct transfer to bank account
43
6
bank as paying agent for money transfer operator (e.g. weste
16
7
foreign exchange bureau
2
8
credit union
0
9
travel agency
2
10
informal individual agents
1
11
mobile phone/ telecommunications service providers (mpesa, z
145
12
through friend or relative
36
13
courier, bus, or other transport
6
14
brought back himself during visit
22
15
pre-paid cards/ atm card, re-loadable card, smart card
0
16
internet money transfer
0
17
other (please specify)
1
777
n\a
0
888
dk
0
999
missing
0
40000
1
Sysmiss
1903
Total amount of remittances sent by HH to migrant in past 12months
In the past 12 months, how much money in total have you sent to (NAME)?
AMOUNT (In local currency)
410
1835
0
4000000
103366.146
341891.402
0
none
65
400
2
500
6
600
2
700
1
800
1
1000
18
1200
1
1400
1
1420
1
1500
7
2000
19
2400
1
2500
3
3000
7
4000
6
5000
10
5500
1
6000
10
6500
1
7000
5
7500
1
8000
5
8600
1
9000
2
9600
1
10000
18
12000
4
15000
6
16000
1
17000
1
18000
2
20000
17
21000
5
22000
1
24000
7
25000
4
27000
2
28000
1
28500
1
30000
12
31000
1
34000
2
35000
2
36000
2
38000
1
40000
6
45000
2
50000
11
55000
1
60000
14
64000
1
65000
2
68000
1
70000
1
72000
2
75000
1
80000
9
88000
1
90000
2
95000
1
100000
12
102000
1
110000
1
120000
5
130000
2
135000
2
140000
2
145000
1
150000
10
160000
1
170000
1
190000
1
200000
7
210000
2
216000
1
220000
1
240000
2
250000
2
288000
1
300000
3
320000
1
386000
1
390000
1
400000
6
450000
1
500000
3
600000
3
700000
1
720000
1
750000
1
850000
1
1000000
3
1200000
1
1350000
1
1500000
1
2000000
1
4000000
2
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
1835
Current residence of migrant
At present where does (NAME) live?
2206
39
1
urban area within the country
996
2
rural area within the country
208
3
a) uk
133
4
b) tanzania
57
5
c) us
342
6
d) uganda
96
7
e) canada
31
8
f) germany
54
9
g) australia
25
10
h) india
17
11
i) netherlands
11
12
j) italy
27
13
k) rwanda
9
14
l) dubai
39
15
m) south africa
41
16
l) sudan
29
17
norway
11
18
united emirates (uae)
12
19
congo
7
20
liberia
1
21
sweden
2
22
israel
1
23
belgium
5
24
switzerland
4
25
china
2
26
saudi arabis
23
27
somali
2
28
libya
3
29
zimbabwe
4
30
france
3
31
zanzibar
2
32
rwanda
0
33
ethiopia
1
34
holland
1
35
denmark
4
36
iraq
1
37
egypt
1
38
botswana
0
39
russia
1
40
bulushi
0
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
39
Migration destination
2206
39
1
39
4.424
5.583
Group of current residence of migrant
2206
39
1
Local migrants
1204
2
OECD countrys
654
3
Africa countrys
253
4
Others countrys
95
Sysmiss
39
HH unique ID
279
0
Person ID
279
0
Existence of transfers received from non-HH migrant
In the last 12 months, did your household receive any money and/or goods from any non-household migrant members?
234
0
1
1
999
1
Abat Chai
1
Agnes Mudigo
1
Agnes wambo
1
Akiad Oswado
1
Alivista
1
Amed Omar
1
Andrew
1
Angeline
1
Ann Wanja
1
Anthony
1
Antony
1
Beatrice Awuor
1
Beatrice Midera
1
Ben Wato
1
Benson
1
Beth Wambua
1
Betty Inyanga
1
Boniface Karumbe
1
Brivyn
1
Caroline Ogake
1
Catherine
1
Charity
1
Charles owour
1
Dalin
1
Dan
1
Daniel Areri
1
David Ayub
1
David karanja
1
Denis Makerei
1
Diana awour
1
Divina Aoko
1
Donald Mbao
1
Dorcas Bonareri
1
Doreen
1
Dorothy Mbone
1
Doughlus
1
Edward Jomo
1
Edwin Nyajui
1
Elliy oyoo
1
Emily Majengo
1
Eric Owira
1
Erik Thomson
1
Esther Wambui
1
Esther Watiri
1
Eunice
2
Eunice Obisa
1
Eunice Wanja
1
Everline Achieng
1
Felistus Ambui
1
Florence Otieno
1
Francis Miyienda
1
Francisca Njoroge
1
Fredric
1
Fridah Omboga
1
George Otieno
1
George Ouma
1
Gladys Mudigo
1
Gladys Waruino
1
Godfrey Onyango
1
Grace Adeny
1
Grace Onsongo
1
Grace Wanjiku
1
Grace njoki
1
Hanna Ruguru
1
Hassan
1
Helida
1
Henry Ndakalu
1
Hesley Paul
1
Humphrey Amata
1
Irene
1
Jack
1
Jacky agot
1
Jacob odalo
1
Jacob otieno
1
James Mwangi
1
James Njonjo
1
Jane
1
Jane Auma
1
Jane Kyalo
1
Jane Mokeira
1
Jane Nyawira
1
Jane Wanjiru
1
Jane Warira
1
Jane karanja
1
Jannet Owour
1
Jared
1
Jenifer Siga
1
Jennifer Nafula
1
Jennifer Odhambo
1
Jesca Luvai
1
Jobson
1
John Bosire
1
John Kajiji
1
John Karura
1
John Mugo
1
John Otieno
1
John Ouma
1
John mwangi
1
Johnstone Maina
1
Jonah Onditi
1
Joseph
1
Josephat
1
Josephine
1
Josephine Wangui
1
Joshua Ochieng
1
Joyce
1
Joyce Murimi
1
Judy
1
Juliano Wano
1
Julius Ochieng
1
Kahombi
1
Kanona
1
Karen Nateka
1
Kavai
1
Kennedy
1
Kennedy Ogueno
1
Kennedy otieno
1
Kimani
1
Livingstone
1
Loise Ruguru
1
Mabeya Ndege
1
Machira
1
Malachi
1
Margret Jomo
1
Martin Muguru
1
Mary
2
Mary Anaki
1
Mary Atieno
1
Mary Ochoki
1
Maureen Wanjiru
1
Maxwell Moga
1
Michael Oswago
1
Milka Okati
1
Millicent Atieno
1
Miriali
1
Missing
2
Mogan
1
Mohamed
1
Monica Obwacha
1
Mum Njau
1
Muraba
1
Musungu
1
Musyoki
1
Nadoso Silo
1
Namukhula
1
Nancy Kemunto
1
Nanjoe
1
Nelly Mwangi
1
Njeri Maina
1
Nyaboke
1
Omendo
1
Omondi Ojeta
1
Otieno
1
Otieno Gingo
1
Ouma Odera
1
Owen
1
Pally Onyango
1
Patricia
1
Patrick
2
Paul
1
Paul Oketxh
1
Pet Ongaya
1
Peter
1
Peter ochieng
1
Phanuel Nyagaka
1
Philistine
1
Rachael Ndinda
1
Rael Moses
1
Raill
1
Raphael Wanjofu
1
Rashida
1
Richard
1
Richard Osore
1
Robert
1
Ruth Makokha
1
Ruth achieng
1
Sale Salim
1
Samson Muga
1
Samuel
1
Sarifa Osman
1
Sheilla
1
Sophy Nyatuka
1
Stephen Osieyo
1
Steve Oloo
1
Steve Onsomu
1
Steven
1
Suleiman Abdul
1
Susan Fay
1
Suuabra
1
Terry Wangari
1
Tom karome
1
Ubah hassan
1
Vincent
1
Violet
1
William Ochieng
1
Williamson
1
Winfred Kamene
1
Yunis Kerubo
1
beffy Wakana
1
carol Kamau
1
david njuguna
1
eliza kinambuga
1
elizabeth imanza
1
ernest
1
fatma ali
1
fidis kakio
1
gilbert abonyo
1
halima
1
josphine waititu
1
joy
1
joyce kyalo
1
joyce wangu
1
kamau
1
mary waheto
1
mercy mwende
1
milly mulinda
1
mwangi githumo
1
peninah
1
peter
1
pricila noki
1
samuel
1
samuel gathuki
1
sicily
1
susan njeri
2
wakena
1
wanja
1
wanjiru muthoni
1
Current residence of non-HH migrant
If yes to 6.1, where does this non-household migrant member currently live?
Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person.
276
3
1
urban area within the country (place)
162
2
rural area within the country (palce)
58
3
a) uk
9
4
b) tanzania
4
5
c) us
22
6
d) uganda
3
7
e) canada
1
8
f) germany
3
9
g) australia
4
10
h) india
1
11
i) netherlands
1
12
j) italy
1
13
k) south africa
1
14
dubai
3
15
france
1
16
2
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
3
Relationship of non-HH migrant to the head of HH
If Yes to 6.1, what was the relationship of this nonhousehold migrant member?
Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person.
277
2
1
parent
19
2
brother/sister
81
3
parent \ grand parent
11
4
in laws
45
5
other relative
88
6
ex - spouse
0
7
non relative
33
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
2
Sex of non-HH migrant
If Yes to 6.1, what is the sex of this nonhousehold migrant member?
Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person.
278
1
1
male
134
2
female
144
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
1
Highest schooling level completed of non-HH migrant
What is the highest level of schooling that this nonhousehold migrant member has completed?
Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person.
279
0
1
none
13
2
primary school
54
3
middle school
11
4
secondary school
79
5
post-primary technical/vocational school
11
6
under graduate university
44
7
post-secondary technical/vocational school
35
8
graduate school
19
9
other (specify)
0
10
don’t know
13
777
n\a
0
888
dk
0
999
missing
0
Number of money transfers by non-HH migrant to HH in past 12months
In the past 12 months, how many times did your household receive this money?
Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person.
250
29
1
40
3.52
4.342
0
none
777
n\a
999
missing
Money sending chanel by non-HH migrant to HH
How did this non-household migrant usually send money to your household?
Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person.
249
30
1
western union
26
2
moneygram
8
3
other money transfer operator
1
4
postal money order
2
5
direct transfer to bank account
9
6
bank as paying agent for money transfer operator (e.g. weste
1
7
foreign exchange bureau
2
8
credit union
0
9
travel agency
0
10
informal individual agents
1
11
mobile phone/ telecommunications service providers (mpesa, z
109
12
through friend or relative
40
13
courier, bus, or other transport
7
14
brought back himself during visit
41
15
pre-paid cards/ atm card, re-loadable card, smart card
1
16
internet money transfer
1
17
other (please specify)
0
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
30
Total amount of remittances by non-HH migrant to HH in past 12months
In the past 12 months, how much money in total has your household received from this non-household migrant?
Amount (in local currency)
Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person.
230
49
200
4000000
57407.826
310422.958
0
none
0
777
n\a
0
888
don't know
2
999
mising
0
Non-HH migrant sent food/goods to HH in past 12months
Did your household receive any food and/or goods from this nonhousehold member?
Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person.
255
24
1
yes
99
2
no
156
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
24
Total value of food/goods sent by non-HH migrant to HH in past 12months
What was the total value of food and goods received by your household from this non-household migrant over the last 12 months?
102
177
110
130000
8826.373
17774.328
0
none
777
n\a
888
dk
999
missing
Number of money transfers by HH to non-HH migrant in past 12months
In the past 12 months, how many times have you sent money to (NAME)?
19
260
1
12
4.895
4.383
0
none
777
n/a
888
don't know
999
missing
How did you send money to (NAME)?
19
260
0
1
1
western union
0
2
moneygram
0
3
other money transfer operator
0
4
postal money order
0
5
direct transfer to bank account
1
6
bank as paying agent for money transfer operator (e.g. weste
0
7
foreign exchange bureau
0
8
credit union
0
9
travel agency
0
10
informal individual agents
0
11
mobile phone/ telecommunications service providers (mpesa, z
13
12
through friend or relative
1
13
courier, bus, or other transport
2
14
brought back himself during visit
1
15
pre-paid cards/ atm card, re-loadable card, smart card
0
16
internet money transfer
0
17
other (please specify)
0
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
260
Total amount of remittances by HH to non-HH migrant in past 12months
In the past 12 months, how much money in total have you sent to (NAME)?
AMOUNT (In local currency)
19
260
500
55000
12457.895
13517.902
0
none
777
n/a
888
don't know
999
missing
HH unique ID
70
0
Last place before returning to HH
What was the last place that (NAME) lived in before he/she returned to your household?
Q7.2 to 7.14 are identical in wording to questions asked in Section 5. For each question, it is important to record the responses for each and every “return migrant.”
67
3
1
urban area within the country (place)
23
2
rural area within the country (palce)
11
3
a) uk
5
4
b) tanzania
0
5
c) us
9
6
d) uganda
2
7
e) canada
2
8
f) germany
3
9
g) australia
3
10
h) india
3
11
i) netherlands
0
12
j) italy
1
13
k) saudi arabia
3
14
japan
1
15
philiphines
1
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
3
Time of last migration (year)
When did (NAME) last move to (PLACE)?
Q7.2 to 7.14 are identical in wording to questions asked in Section 5. For each question, it is important to record the responses for each and every “return migrant.”
68
2
0
none
0
777
n\a
0
999
missing
0
1971
2
1978
2
1986
1
1988
1
1990
1
1992
1
1994
1
1995
2
1996
1
1998
1
1999
4
2000
4
2001
4
2002
2
2003
4
2004
6
2005
6
2006
7
2007
4
2008
12
2009
1
200711
1
Sysmiss
2
Time member returned to HH (year)
When did (NAME) return to this household?
Q7.2 to 7.14 are identical in wording to questions asked in Section 5. For each question, it is important to record the responses for each and every “return migrant.”
68
2
0
none
0
777
n\a
0
999
missing
0
1995
1
1998
1
1999
2
2003
7
2004
2
2005
1
2006
3
2007
6
2008
14
2009
30
200911
1
Sysmiss
2
Primary reason for the last migration
What was the primary reason why (NAME) left the household in the last migration episode?
Q7.2 to 7.14 are identical in wording to questions asked in Section 5. For each question, it is important to record the responses for each and every “return migrant.”
68
2
1
education
15
2
search for work
16
3
job transfer/job opportunity
15
4
civil conflict/ war
0
5
marriage arrangement
4
6
divorce/marriage dissolution
0
7
death of spouse or partner
1
8
family problems
1
9
moved to join other family members
9
10
return to original or previous home
4
11
do not own agricultural land to work here / don’t have enoug
2
12
poor quality of land or depleted soils
0
13
health problems
1
14
drought
0
15
political factors
0
16
other (specify)
0
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
2
Primary reason for choosing the last migration location
What was the main reason why (NAME) chose (PLACE)?
Q7.2 to 7.14 are identical in wording to questions asked in Section 5. For each question, it is important to record the responses for each and every “return migrant.”
68
2
1
i knew people here
13
2
i had information about the place
4
3
i had a job offer there
16
4
better wages there
2
5
better job opportunities there
6
6
more/better land there
1
7
better quality of life there
1
8
better education opportunities there
14
9
better climate
0
10
better medical care
1
11
close to family, friend
9
12
cost of moving is low
0
13
other (specify)
1
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
2
Highest schooling level completed before migration
What was the highest level of schooling that (NAME) completed before he/she left the household?
Q7.2 to 7.14 are identical in wording to questions asked in Section 5. For each question, it is important to record the responses for each and every “return migrant.”
69
1
1
none
3
2
primary school
17
3
secondary school
19
4
secondary level technical/vocational school
8
5
tertiary/university
8
6
post-secondary technical/vocational school
9
7
graduate school
5
8
other (specify)
0
9
don’t know
0
777
n\a
0
999
missing
0
Sysmiss
1
Attended school in the last migration location
Did (NAME) go to school in (Place)
Q7.2 to 7.14 are identical in wording to questions asked in Section 5. For each question, it is important to record the responses for each and every “return migrant.”
69
1
1
yes
24
2
no
43
3
dk
2
777
n\a
0
999
missing
0
Sysmiss
1
Tertiary diploma obtained in the last migration location
If (NAME) completed Tertiary or higher education in (PLACE), what was the highest diploma/degree that he/she obtained?
Q7.2 to 7.14 are identical in wording to questions asked in Section 5. For each question, it is important to record the responses for each and every “return migrant.”
26
44
1
bachelor's degree
5
2
vocational or technical training
12
3
master’s degree
4
4
phd degree
1
5
mba
2
6
teaching certificate
0
7
medical degree
0
8
nursing degree
1
9
law degree
0
10
other (specify)
1
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
44
Last work situation in the last migration location
What was (NAME’s) last work situation while residing in (PLACE)?
Q7.2 to 7.14 are identical in wording to questions asked in Section 5. For each question, it is important to record the responses for each and every “return migrant.”
65
5
1
paid employment – full-time
24
2
paid employment – part-time
4
3
self employed (full or part time)
12
4
unemployed / looking for work
7
5
retired from work altogether
2
6
full-time student
7
7
housewife
2
8
long-term sick or handicapped
3
9
in military service
0
10
other (specify)
0
11
don’t know
3
12
1
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
5
Reason for returning to HH
Why did (NAME) return?
Q7.2 to 7.14 are identical in wording to questions asked in Section 5. For each question, it is important to record the responses for each and every “return migrant.”
67
3
1
could not get residence there
0
2
could not get work permit there
3
3
work permit expired there
3
4
residence permit expired there
1
5
no intention to stay there longer
22
6
had accumulated enough money while living there
0
7
to take up temporary work here
1
8
temporary work there had come to an end for the season
8
9
got expelled from there
3
10
family reasons/problems here/there
20
11
missed family/partner/friends here
2
12
became sick
1
13
to pursue further studies
1
14
job transfer
1
15
1
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
3
Sent money to HH from last migration location
Did (NAME) send any money to this household when he/she was in (PLACE)?
Q7.2 to 7.14 are identical in wording to questions asked in Section 5. For each question, it is important to record the responses for each and every “return migrant.”
67
3
1
yes
33
2
no
34
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
3
Money sending chanel by member to HH
How did (NAME) usually send money to this household?
Q7.2 to 7.14 are identical in wording to questions asked in Section 5. For each question, it is important to record the responses for each and every “return migrant.”
33
37
1
western union
7
2
moneygram
1
3
other money transfer operator
0
4
postal money order
1
5
direct transfer to bank account
2
6
bank as paying agent for money transfer operator (e.g. weste
2
7
foreign exchange bureau
1
8
credit union
0
9
travel agency
0
10
informal individual agents
0
11
mobile phone/ telecommunications service providers (mpesa, z
3
12
through friend or relative
9
13
courier, bus, or other transport
0
14
brought back himself during visit
7
15
pre-paid cards/ atm card, re-loadable card, smart card
0
16
internet money transfer
0
17
other (please specify)
0
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
37
Sent money to HH for particular purpose
Did (NAME) send money to this household for particular purposes when he/she was in (PLACE)?
65
5
1
yes
18
2
no
47
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
5
Specific event in response to which remittances was sent by member
Has (NAME) ever sent money to your household for expenses specifically in response to the following events?
(Check all that apply.)
22
48
1
drought
9
2
flood
2
3
earthquake
0
4
cyclone / storm
0
5
none
10
9
1
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
48
Member sent/brought goods to HH from last migration location
Did (NAME) send/bring goods to your household when he/she was in (PLACE)?
If answer is 2 > Go to Q7.27.
54
16
1
yes
16
2
no
38
777
n\a
0
888
dk
0
999
missing
0
Sysmiss
16
Member have lived in another country/another place in country at least 6months
70
0
1
yes
70
2
no
0
Person ID
70
0