Kenya Continuous Household Survey Programme (KCHSP) - 2020 Quarters 1 and 2
Kenya, 2020
Kenya National Bureau of Statistics
Created on
June 01, 2022
Last modified
June 01, 2022
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D14:In which country/county does (%rostertitle%) work? (d14)
Data file: 2020 KCHSP Q1_Q2 individual_level
Overview
Valid:
12619
Invalid:
29307
Type:
Discrete
Decimal:
0
Width:
6
Range:
101 - 960
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | NAIROBI | 379 |
3%
|
| 201 | NYANDARUA | 403 |
3.2%
|
| 202 | NYERI | 236 |
1.9%
|
| 203 | KIRINYAGA | 375 |
3%
|
| 204 | MURANGA | 405 |
3.2%
|
| 205 | KIAMBU | 251 |
2%
|
| 301 | MOMBASA | 201 |
1.6%
|
| 302 | KWALE | 368 |
2.9%
|
| 303 | KILIFI | 212 |
1.7%
|
| 304 | TANA RIVER | 169 |
1.3%
|
| 305 | LAMU | 103 |
0.8%
|
| 306 | TAITA TAVETA | 270 |
2.1%
|
| 401 | MARSABIT | 102 |
0.8%
|
| 402 | ISIOLO | 92 |
0.7%
|
| 403 | MERU | 391 |
3.1%
|
| 404 | THARAKA NITHI | 310 |
2.5%
|
| 405 | EMBU | 457 |
3.6%
|
| 406 | KITUI | 173 |
1.4%
|
| 407 | MACHAKOS | 348 |
2.8%
|
| 408 | MAKUENI | 262 |
2.1%
|
| 501 | GARISSA | 185 |
1.5%
|
| 502 | WAJIR | 90 |
0.7%
|
| 503 | MANDERA | 136 |
1.1%
|
| 601 | SIAYA | 220 |
1.7%
|
| 602 | KISUMU | 284 |
2.3%
|
| 603 | HOMA BAY | 195 |
1.5%
|
| 604 | MIGORI | 322 |
2.6%
|
| 605 | KISII | 280 |
2.2%
|
| 606 | NYAMIRA | 325 |
2.6%
|
| 701 | TURKANA | 220 |
1.7%
|
| 702 | WEST POKOT | 307 |
2.4%
|
| 703 | SAMBURU | 231 |
1.8%
|
| 704 | TRANS NZOIA | 293 |
2.3%
|
| 705 | BARINGO | 275 |
2.2%
|
| 706 | UASIN-GISHU | 471 |
3.7%
|
| 707 | ELGEYO MARAKWET | 224 |
1.8%
|
| 708 | NANDI | 292 |
2.3%
|
| 709 | LAIKIPIA | 283 |
2.2%
|
| 710 | NAKURU | 210 |
1.7%
|
| 711 | NAROK | 196 |
1.6%
|
| 712 | KAJIADO | 162 |
1.3%
|
| 713 | KERICHO | 218 |
1.7%
|
| 714 | BOMET | 482 |
3.8%
|
| 801 | KAKAMEGA | 343 |
2.7%
|
| 802 | VIHIGA | 252 |
2%
|
| 803 | BUNGOMA | 366 |
2.9%
|
| 804 | BUSIA | 246 |
1.9%
|
| 900 | OTHER AFRICA | 0 |
0%
|
| 901 | UGANDA | 2 |
0%
|
| 902 | TANZANIA | 1 |
0%
|
| 903 | CENTRAL AFRICA | 0 |
0%
|
| 904 | WEST AFRICA | 0 |
0%
|
| 905 | NORTH AFRICA | 0 |
0%
|
| 906 | SOUTH AFRICA | 0 |
0%
|
| 907 | KENYA | 1 |
0%
|
| 910 | OTHER ASIA | 0 |
0%
|
| 911 | JAPAN | 0 |
0%
|
| 912 | INDIA | 0 |
0%
|
| 913 | MIDDLE EAST | 0 |
0%
|
| 914 | CHINA | 0 |
0%
|
| 930 | OTHER EUROPE | 0 |
0%
|
| 931 | GERMANY | 0 |
0%
|
| 932 | SWITZERLAND | 0 |
0%
|
| 933 | UNITED KINGDOM | 0 |
0%
|
| 934 | ITALY | 0 |
0%
|
| 935 | FRANCE | 0 |
0%
|
| 936 | SCANDINAVIA | 0 |
0%
|
| 940 | OTHER AMERICA | 0 |
0%
|
| 941 | USA | 0 |
0%
|
| 942 | CANADA | 0 |
0%
|
| 950 | AUSTRALIA & NEW ZEALAND | 0 |
0%
|
| 960 | OTHER COUNTRIES | 0 |
0%
|
| 1001 | .A | 1 | |
| Sysmiss | 29306 |
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.