Kenya Integrated Household Budget Survey 2005-2006
Kenya, 2005 - 2006
Kenya National Bureau of Statistics
Created on
September 14, 2022
Last modified
September 14, 2022
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- Data files
-
Section U
Credit -
Section R
Transfers -
Section S Other
Income -
Section T
Recent Shocks -
consumption
aggregated data -
Section A
Identification -
Section H2
Energy -
Section G
Housing -
Section H1
Water
Sanitation -
Section C
education -
Section D
Health -
Section B
Household
member
Information -
section D
Deaths -
Section D
Fertility -
Section E
Labour -
Section Q
Household
Enterprises -
Section F Child
health -
Section N
Agriculture
Holding -
Section O
Agriculture
Output -
Section P1
Livestock -
Section P2
Livestock
District of work (e28)
Data file: Section E Labour
Overview
Valid:
25239
Invalid:
37017
Minimum:
1
Maximum:
941
Type:
Continuous
Decimal:
0
Width:
3
Range:
1 - 941
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | nairobi | 1268 |
5.3%
|
| 201 | kiambu | 399 |
1.7%
|
| 202 | kirinyaga | 368 |
1.5%
|
| 203 | muranga | 325 |
1.4%
|
| 204 | nyandarua | 470 |
2%
|
| 205 | nyeri | 548 |
2.3%
|
| 206 | thika | 426 |
1.8%
|
| 207 | maragua | 323 |
1.3%
|
| 301 | kilifi | 276 |
1.2%
|
| 302 | kwale | 366 |
1.5%
|
| 303 | lamu | 232 |
1%
|
| 304 | mombasa | 412 |
1.7%
|
| 305 | taita taveta | 266 |
1.1%
|
| 306 | tana river | 287 |
1.2%
|
| 307 | malindi | 346 |
1.4%
|
| 401 | embu | 380 |
1.6%
|
| 402 | isiolo | 324 |
1.4%
|
| 403 | kitui | 393 |
1.6%
|
| 404 | makueni | 471 |
2%
|
| 405 | machakos | 468 |
2%
|
| 406 | marsabit | 148 |
0.6%
|
| 407 | mbeere | 385 |
1.6%
|
| 408 | meru central | 159 |
0.7%
|
| 409 | moyale | 279 |
1.2%
|
| 410 | mwingi | 428 |
1.8%
|
| 411 | meru north | 221 |
0.9%
|
| 412 | tharaka | 365 |
1.5%
|
| 413 | nithi | 357 |
1.5%
|
| 501 | garissa | 150 |
0.6%
|
| 502 | mandera | 127 |
0.5%
|
| 503 | wajir | 154 |
0.6%
|
| 601 | gucha | 322 |
1.3%
|
| 602 | homa bay | 275 |
1.1%
|
| 603 | kisii central | 307 |
1.3%
|
| 604 | kisumu | 361 |
1.5%
|
| 605 | kuria | 305 |
1.3%
|
| 606 | migori | 320 |
1.3%
|
| 607 | north kisii | 376 |
1.6%
|
| 608 | rachuonyo | 301 |
1.3%
|
| 609 | siaya | 348 |
1.5%
|
| 610 | suba | 257 |
1.1%
|
| 611 | bondo | 312 |
1.3%
|
| 612 | nyando | 289 |
1.2%
|
| 701 | baringo | 422 |
1.8%
|
| 702 | bomet | 335 |
1.4%
|
| 703 | keiyo | 302 |
1.3%
|
| 704 | kajiado | 313 |
1.3%
|
| 705 | kericho | 345 |
1.4%
|
| 706 | koibatek | 315 |
1.3%
|
| 707 | laikipia | 294 |
1.2%
|
| 708 | marakwet | 246 |
1%
|
| 709 | nakuru | 599 |
2.5%
|
| 710 | nandi | 401 |
1.7%
|
| 711 | narok | 328 |
1.4%
|
| 712 | samburu | 130 |
0.5%
|
| 713 | trans mara | 334 |
1.4%
|
| 714 | trans nzoia | 409 |
1.7%
|
| 715 | turkana | 2 |
0%
|
| 716 | uasin gishu | 408 |
1.7%
|
| 717 | west pokot | 378 |
1.6%
|
| 718 | buret | 416 |
1.7%
|
| 801 | bungoma | 556 |
2.3%
|
| 802 | busia | 306 |
1.3%
|
| 803 | mt elgon | 429 |
1.8%
|
| 804 | kakamega | 351 |
1.5%
|
| 805 | lugari | 380 |
1.6%
|
| 806 | teso | 317 |
1.3%
|
| 807 | vihiga | 383 |
1.6%
|
| 808 | butere/mumias | 343 |
1.4%
|
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.