Integrated Household Budget Survey 2005-2006
Kenya, 2005 - 2006
Created on
Nov 18, 2011
Last modified
Mar 29, 2019
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- Data files
-
Section A
Indentification -
Section B
Household
Member
Information -
Section C
education -
section G
Housing -
section H1
Water
Sanitation -
section H2
Energy -
section I
Weekly
Expenditure -
Section M
Durables -
Section JKL
Consumption of
Regular Non
Food Items -
Section D
Fertility -
section D
Deaths -
section F Child
health -
Section Q
Household
Enterprises -
Section P
Livestock -
Section O
Agricultural
Output -
Section N
Agriculture
Holding -
Section U
Credit -
Section R
Transfers -
Section S Other
Income -
Section T
Recent Shocks -
Section E
Employment -
Section D
Health -
consumption
aggregated data
District/country of birth (b10)
Data file: Section B Household Member Information
Overview
Valid:
53452
Invalid:
13257
Minimum:
0
Maximum:
999
Type:
Discrete
Decimal:
0
Start:
29
End:
31
Width:
3
Range:
-
Format:
Questions and instructions
Literal question
What was [NAME]'s District/Country of birth?
Categories
| Value | Category |
|---|---|
| 0 | |
| 101 | Nairobi |
| 108 | |
| 190 | |
| 201 | Kiambu |
| 202 | Kirinyaga |
| 203 | Muranga |
| 204 | Nyandarua |
| 205 | Nyeri |
| 206 | Thika |
| 207 | Maragua |
| 210 | |
| 215 | |
| 300 | |
| 301 | Kilifi |
| 302 | Kwale |
| 303 | Lamu |
| 304 | Mombasa |
| 305 | Taita Taveta |
| 306 | Tana River |
| 307 | Malindi |
| 401 | Embu |
| 402 | Isiolo |
| 403 | Kitui |
| 404 | Makueni |
| 405 | Machakos |
| 406 | Marsabit |
| 407 | Mbeere |
| 408 | Meru Central |
| 409 | Moyale |
| 410 | Mwingi |
| 411 | Meru North |
| 412 | Tharaka |
| 413 | Nithi |
| 501 | Garissa |
| 502 | Mandera |
| 503 | Wajir |
| 504 | |
| 601 | Gucha |
| 602 | Homa Bay |
| 603 | Kisii Central |
| 604 | Kisumu |
| 605 | Kuria |
| 606 | Migori |
| 607 | N kisii |
| 608 | Rachuonyo |
| 609 | Siaya |
| 610 | Suba |
| 611 | Bondo |
| 612 | Nyando |
| 701 | Baringo |
| 702 | Bomet |
| 703 | Keiyo |
| 704 | Kajiado |
| 705 | Kericho |
| 706 | Koibatek |
| 707 | Laikipia |
| 708 | Marakwet |
| 709 | Nakuru |
| 710 | Nandi |
| 711 | Narok |
| 712 | Samburu |
| 713 | Trans Mara |
| 714 | Trans Nzoia |
| 715 | Turkana |
| 716 | Uasin Gishu |
| 717 | West Pokot |
| 718 | Buret |
| 719 | |
| 801 | Bungoma |
| 802 | Busia |
| 803 | Mt Elgon |
| 804 | Kakamega |
| 805 | Lugari |
| 806 | Teso |
| 807 | Vihiga |
| 808 | Butere/Mumias |
| 900 | Other Africa |
| 901 | Uganda |
| 902 | Tanzania |
| 903 | Central Africa |
| 904 | West Africa |
| 905 | North Africa |
| 906 | South Africa |
| 907 | Kenya |
| 910 | Other Asia |
| 911 | Japan |
| 912 | India |
| 913 | Middle East |
| 914 | China |
| 930 | Other Europe |
| 931 | Germany |
| 932 | Switzerland |
| 933 | United kingdom |
| 934 | Italy |
| 935 | France |
| 936 | Scandnavia |
| 940 | Other America |
| 941 | USA |
| 942 | Canada |
| 950 | Australia & New Zealand |
| 960 | Other Countries |
| 999 | |
| Sysmiss |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.