Kenya Continuous Household Survey Programme (KCHSP) - 2020 Annual
Kenya, 2020
Kenya National Bureau of Statistics
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June 01, 2022
Last modified
June 01, 2022
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B09:What was %rostertitle%'s County/Country of birth? (b09)
Data file: 2020 KCHSP Annual (Individuals Data)
Overview
Valid:
84859
Invalid:
0
Type:
Discrete
Decimal:
0
Width:
6
Range:
101 - 998
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | NAIROBI | 1197 |
1.4%
|
| 201 | NYANDARUA | 1237 |
1.5%
|
| 202 | NYERI | 1534 |
1.8%
|
| 203 | KIRINYAGA | 1334 |
1.6%
|
| 204 | MURANGA | 1953 |
2.3%
|
| 205 | KIAMBU | 1615 |
1.9%
|
| 301 | MOMBASA | 877 |
1%
|
| 302 | KWALE | 2495 |
2.9%
|
| 303 | KILIFI | 1917 |
2.3%
|
| 304 | TANA RIVER | 1708 |
2%
|
| 305 | LAMU | 1182 |
1.4%
|
| 306 | TAITA TAVETA | 1248 |
1.5%
|
| 401 | MARSABIT | 1576 |
1.9%
|
| 402 | ISIOLO | 1148 |
1.4%
|
| 403 | MERU | 2077 |
2.4%
|
| 404 | THARAKA NITHI | 1377 |
1.6%
|
| 405 | EMBU | 1481 |
1.7%
|
| 406 | KITUI | 2136 |
2.5%
|
| 407 | MACHAKOS | 2073 |
2.4%
|
| 408 | MAKUENI | 2030 |
2.4%
|
| 501 | GARISSA | 1551 |
1.8%
|
| 502 | WAJIR | 1919 |
2.3%
|
| 503 | MANDERA | 2135 |
2.5%
|
| 601 | SIAYA | 2256 |
2.7%
|
| 602 | KISUMU | 1930 |
2.3%
|
| 603 | HOMA BAY | 2346 |
2.8%
|
| 604 | MIGORI | 2396 |
2.8%
|
| 605 | KISII | 2066 |
2.4%
|
| 606 | NYAMIRA | 1855 |
2.2%
|
| 701 | TURKANA | 2034 |
2.4%
|
| 702 | WEST POKOT | 2256 |
2.7%
|
| 703 | SAMBURU | 1546 |
1.8%
|
| 704 | TRANS NZOIA | 1857 |
2.2%
|
| 705 | BARINGO | 1394 |
1.6%
|
| 706 | UASIN-GISHU | 1745 |
2.1%
|
| 707 | ELGEYO MARAKWET | 1521 |
1.8%
|
| 708 | NANDI | 2048 |
2.4%
|
| 709 | LAIKIPIA | 1136 |
1.3%
|
| 710 | NAKURU | 1495 |
1.8%
|
| 711 | NAROK | 1722 |
2%
|
| 712 | KAJIADO | 1168 |
1.4%
|
| 713 | KERICHO | 1858 |
2.2%
|
| 714 | BOMET | 2344 |
2.8%
|
| 801 | KAKAMEGA | 2896 |
3.4%
|
| 802 | VIHIGA | 2133 |
2.5%
|
| 803 | BUNGOMA | 2663 |
3.1%
|
| 804 | BUSIA | 2061 |
2.4%
|
| 900 | OTHER AFRICA | 132 |
0.2%
|
| 901 | UGANDA | 84 |
0.1%
|
| 902 | TANZANIA | 55 |
0.1%
|
| 903 | CENTRAL AFRICA | 2 |
0%
|
| 904 | WEST AFRICA | 1 |
0%
|
| 905 | NORTH AFRICA | 0 |
0%
|
| 906 | SOUTH AFRICA | 0 |
0%
|
| 907 | KENYA | 3 |
0%
|
| 910 | OTHER ASIA | 0 |
0%
|
| 911 | JAPAN | 1 |
0%
|
| 912 | INDIA | 16 |
0%
|
| 913 | MIDDLE EAST | 0 |
0%
|
| 914 | CHINA | 1 |
0%
|
| 930 | OTHER EUROPE | 1 |
0%
|
| 931 | GERMANY | 2 |
0%
|
| 932 | SWITZERLAND | 0 |
0%
|
| 933 | UNITED KINGDOM | 1 |
0%
|
| 934 | ITALY | 1 |
0%
|
| 935 | FRANCE | 0 |
0%
|
| 936 | SCANDINAVIA | 1 |
0%
|
| 940 | OTHER AMERICA | 1 |
0%
|
| 941 | USA | 12 |
0%
|
| 942 | CANADA | 0 |
0%
|
| 950 | AUSTRALIA & NEW ZEALAND | 0 |
0%
|
| 960 | OTHER COUNTRIES | 18 |
0%
|
| 998 | 1 |
0%
|
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.