Kenya Continuous Household Survey Programme (KCHSP) - 2020 Annual
Kenya, 2020
Kenya National Bureau of Statistics
Created on
June 01, 2022
Last modified
June 01, 2022
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B11:In which County/Country was (%rostertitle%) living before moving to the Coun (b11)
Data file: 2020 KCHSP Annual (Individuals Data)
Overview
Valid:
7958
Invalid:
76901
Type:
Discrete
Decimal:
0
Width:
6
Range:
101 - 998
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | NAIROBI | 519 |
6.5%
|
| 201 | NYANDARUA | 152 |
1.9%
|
| 202 | NYERI | 288 |
3.6%
|
| 203 | KIRINYAGA | 135 |
1.7%
|
| 204 | MURANGA | 333 |
4.2%
|
| 205 | KIAMBU | 312 |
3.9%
|
| 301 | MOMBASA | 190 |
2.4%
|
| 302 | KWALE | 61 |
0.8%
|
| 303 | KILIFI | 158 |
2%
|
| 304 | TANA RIVER | 48 |
0.6%
|
| 305 | LAMU | 39 |
0.5%
|
| 306 | TAITA TAVETA | 76 |
1%
|
| 401 | MARSABIT | 27 |
0.3%
|
| 402 | ISIOLO | 10 |
0.1%
|
| 403 | MERU | 195 |
2.5%
|
| 404 | THARAKA NITHI | 32 |
0.4%
|
| 405 | EMBU | 77 |
1%
|
| 406 | KITUI | 173 |
2.2%
|
| 407 | MACHAKOS | 231 |
2.9%
|
| 408 | MAKUENI | 200 |
2.5%
|
| 501 | GARISSA | 22 |
0.3%
|
| 502 | WAJIR | 23 |
0.3%
|
| 503 | MANDERA | 48 |
0.6%
|
| 601 | SIAYA | 268 |
3.4%
|
| 602 | KISUMU | 351 |
4.4%
|
| 603 | HOMA BAY | 279 |
3.5%
|
| 604 | MIGORI | 184 |
2.3%
|
| 605 | KISII | 358 |
4.5%
|
| 606 | NYAMIRA | 117 |
1.5%
|
| 701 | TURKANA | 24 |
0.3%
|
| 702 | WEST POKOT | 27 |
0.3%
|
| 703 | SAMBURU | 34 |
0.4%
|
| 704 | TRANS NZOIA | 209 |
2.6%
|
| 705 | BARINGO | 66 |
0.8%
|
| 706 | UASIN-GISHU | 187 |
2.3%
|
| 707 | ELGEYO MARAKWET | 102 |
1.3%
|
| 708 | NANDI | 91 |
1.1%
|
| 709 | LAIKIPIA | 114 |
1.4%
|
| 710 | NAKURU | 345 |
4.3%
|
| 711 | NAROK | 68 |
0.9%
|
| 712 | KAJIADO | 40 |
0.5%
|
| 713 | KERICHO | 149 |
1.9%
|
| 714 | BOMET | 152 |
1.9%
|
| 801 | KAKAMEGA | 384 |
4.8%
|
| 802 | VIHIGA | 309 |
3.9%
|
| 803 | BUNGOMA | 312 |
3.9%
|
| 804 | BUSIA | 141 |
1.8%
|
| 900 | OTHER AFRICA | 126 |
1.6%
|
| 901 | UGANDA | 77 |
1%
|
| 902 | TANZANIA | 45 |
0.6%
|
| 903 | CENTRAL AFRICA | 2 |
0%
|
| 904 | WEST AFRICA | 1 |
0%
|
| 905 | NORTH AFRICA | 0 |
0%
|
| 906 | SOUTH AFRICA | 0 |
0%
|
| 907 | KENYA | 0 |
0%
|
| 910 | OTHER ASIA | 0 |
0%
|
| 911 | JAPAN | 1 |
0%
|
| 912 | INDIA | 15 |
0.2%
|
| 913 | MIDDLE EAST | 0 |
0%
|
| 914 | CHINA | 0 |
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 | 0 |
0%
|
| 940 | OTHER AMERICA | 1 |
0%
|
| 941 | USA | 10 |
0.1%
|
| 942 | CANADA | 0 |
0%
|
| 950 | AUSTRALIA & NEW ZEALAND | 0 |
0%
|
| 960 | OTHER COUNTRIES | 14 |
0.2%
|
| 998 | 1 |
0%
|
|
| Sysmiss | 76901 |
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.