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 of work (e28)
Data file: Section E Employment
Overview
Valid:
25483
Invalid:
36400
Minimum:
0
Maximum:
941
Type:
Discrete
Decimal:
0
Start:
77
End:
79
Width:
3
Range:
-
Format:
Questions and instructions
Literal question
In which district does [NAME] work?
Categories
| Value | Category |
|---|---|
| 0 | |
| 1 | |
| 2 | |
| 3 | |
| 4 | |
| 5 | |
| 6 | |
| 7 | |
| 8 | |
| 9 | |
| 10 | |
| 11 | |
| 12 | |
| 14 | |
| 15 | |
| 20 | |
| 21 | |
| 40 | |
| 43 | |
| 50 | |
| 60 | |
| 70 | |
| 78 | |
| 80 | |
| 100 | |
| 101 | Nairobi |
| 105 | |
| 107 | |
| 108 | |
| 112 | |
| 154 | |
| 171 | |
| 176 | |
| 201 | Kiambu |
| 202 | Kirinyaga |
| 203 | Muranga |
| 204 | Nyandarua |
| 205 | Nyeri |
| 206 | Thika |
| 207 | Maragua |
| 210 | |
| 224 | |
| 232 | |
| 301 | Kilifi |
| 302 | Kwale |
| 303 | Lamu |
| 304 | Mombasa |
| 305 | Taita taveta |
| 306 | Tana river |
| 307 | Malindi |
| 400 | |
| 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 | |
| 507 | |
| 600 | |
| 601 | Gucha |
| 602 | Homa bay |
| 603 | Kisii central |
| 604 | Kisumu |
| 605 | Kuria |
| 606 | Migori |
| 607 | North kisii |
| 608 | Rachuonyo |
| 609 | Siaya |
| 610 | Suba |
| 611 | Bondo |
| 612 | Nyando |
| 614 | |
| 619 | |
| 631 | |
| 664 | |
| 678 | |
| 680 | |
| 694 | |
| 700 | |
| 701 | Haringo |
| 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 |
| 720 | |
| 728 | |
| 730 | |
| 800 | |
| 801 | Bungoma |
| 802 | Busia |
| 803 | Mt Elgon |
| 804 | Kakamega |
| 805 | Lugari |
| 806 | Teso |
| 807 | Vihiga |
| 808 | Butere/Mumias |
| 900 | |
| 901 | |
| 902 | |
| 903 | |
| 910 | |
| 933 | |
| 941 | |
| 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.