Refugee and Host Household Survey in Nairobi, 2021
Kenya, 2021
Get Microdata
Reference ID
KEN_2021_RHHS_v01_M
Producer(s)
Nistha Sinha, Precious Zikhali, Antonia Johanna Sophie Delius, Nduati Maina Kariu
Metadata
Created on
Oct 10, 2023
Last modified
Oct 10, 2023
Page views
24756
Downloads
2275
In which country/county does [NAME] work? (d14)
Data file: hhm
Overview
Valid:
14948
Invalid:
0
Minimum:
101
Maximum:
941
Type:
Discrete
Decimal:
0
Width:
27
Range:
101 - 941
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | NAIROBI | 5346 |
35.8%
|
| 201 | NYANDARUA | 9 |
0.1%
|
| 202 | NYERI | 2 |
0%
|
| 204 | MURANGA | 4 |
0%
|
| 205 | KIAMBU | 58 |
0.4%
|
| 301 | MOMBASA | 9 |
0.1%
|
| 302 | KWALE | 3 |
0%
|
| 303 | KILIFI | 1 |
0%
|
| 304 | TANA RIVER | 1 |
0%
|
| 305 | LAMU | 1 |
0%
|
| 401 | MARSABIT | 1 |
0%
|
| 402 | ISIOLO | 2 |
0%
|
| 403 | MERU | 2 |
0%
|
| 405 | EMBU | 2 |
0%
|
| 407 | MACHAKOS | 10 |
0.1%
|
| 408 | MAKUENI | 1 |
0%
|
| 501 | GARISSA | 1 |
0%
|
| 503 | MANDERA | 1 |
0%
|
| 602 | KISUMU | 6 |
0%
|
| 604 | MIGORI | 1 |
0%
|
| 605 | KISII | 6 |
0%
|
| 701 | TURKANA | 1 |
0%
|
| 704 | TRANS NZOIA | 1 |
0%
|
| 706 | UASIN-GISHU | 1 |
0%
|
| 709 | LAIKIPIA | 1 |
0%
|
| 710 | NAKURU | 5 |
0%
|
| 711 | NAROK | 2 |
0%
|
| 712 | KAJIADO | 12 |
0.1%
|
| 713 | KERICHO | 1 |
0%
|
| 801 | KAKAMEGA | 1 |
0%
|
| 803 | BUNGOMA | 1 |
0%
|
| 906 | SOUTH AFRICA | 1 |
0%
|
| 907 | KENYA | 230 |
1.5%
|
| 910 | OTHER ASIA | 1 |
0%
|
| 941 | USA | 1 |
0%
|
| z | Not applicable/administered | 9222 |
61.7%
|
| 203 | KIRINYAGA | 0 |
0%
|
| 306 | TAITA TAVETA | 0 |
0%
|
| 404 | THARAKA NITHI | 0 |
0%
|
| 406 | KITUI | 0 |
0%
|
| 502 | WAJIR | 0 |
0%
|
| 601 | SIAYA | 0 |
0%
|
| 603 | HOMA BAY | 0 |
0%
|
| 606 | NYAMIRA | 0 |
0%
|
| 702 | WEST POKOT | 0 |
0%
|
| 703 | SAMBURU | 0 |
0%
|
| 705 | BARINGO | 0 |
0%
|
| 707 | ELGEYO MARAKWET | 0 |
0%
|
| 708 | NANDI | 0 |
0%
|
| 714 | BOMET | 0 |
0%
|
| 802 | VIHIGA | 0 |
0%
|
| 804 | BUSIA | 0 |
0%
|
| 900 | OTHER AFRICA | 0 |
0%
|
| 901 | UGANDA | 0 |
0%
|
| 902 | TANZANIA | 0 |
0%
|
| 903 | CENTRAL AFRICA | 0 |
0%
|
| 904 | WEST AFRICA | 0 |
0%
|
| 905 | NORTH AFRICA | 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%
|
| 942 | CANADA | 0 |
0%
|
| 950 | AUSTRALIA & NEW ZEALAND | 0 |
0%
|
| 960 | OTHER COUNTRIES | 0 |
0%
|
| a | Don't know | 0 |
0%
|
| b | Refused to answer | 0 |
0%
|
| c | Outlier set to missing | 0 |
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.