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
Aug 28, 2024
Last modified
Aug 28, 2024
Page views
5049
In which County/Country was [Name] living before moving to the current? (b11)
Data file: hhm
Overview
Valid:
14948
Invalid:
0
Minimum:
900
Maximum:
1006
Type:
Discrete
Decimal:
0
Width:
32
Range:
900 - 1006
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 900 | OTHER AFRICA | 10 |
0.1%
|
| 901 | UGANDA | 51 |
0.3%
|
| 902 | TANZANIA | 13 |
0.1%
|
| 960 | OTHER COUNTRIES | 78 |
0.5%
|
| 1001 | SOMALIA | 874 |
5.8%
|
| 1002 | ETHIOPIA | 582 |
3.9%
|
| 1003 | SUDAN | 26 |
0.2%
|
| 1004 | SOUTH SUDAN | 173 |
1.2%
|
| 1005 | DEMOCRATIC REPUBLIC OF THE CONGO | 2478 |
16.6%
|
| 1006 | BURUNDI | 197 |
1.3%
|
| z | Not applicable/administered | 10466 |
70%
|
| 101 | NAIROBI | 0 |
0%
|
| 201 | NYANDARUA | 0 |
0%
|
| 202 | NYERI | 0 |
0%
|
| 203 | KIRINYAGA | 0 |
0%
|
| 204 | MURANGA | 0 |
0%
|
| 205 | KIAMBU | 0 |
0%
|
| 301 | MOMBASA | 0 |
0%
|
| 302 | KWALE | 0 |
0%
|
| 303 | KILIFI | 0 |
0%
|
| 304 | TANA RIVER | 0 |
0%
|
| 305 | LAMU | 0 |
0%
|
| 306 | TAITA TAVETA | 0 |
0%
|
| 401 | MARSABIT | 0 |
0%
|
| 402 | ISIOLO | 0 |
0%
|
| 403 | MERU | 0 |
0%
|
| 404 | THARAKA NITHI | 0 |
0%
|
| 405 | EMBU | 0 |
0%
|
| 406 | KITUI | 0 |
0%
|
| 407 | MACHAKOS | 0 |
0%
|
| 408 | MAKUENI | 0 |
0%
|
| 501 | GARISSA | 0 |
0%
|
| 502 | WAJIR | 0 |
0%
|
| 503 | MANDERA | 0 |
0%
|
| 601 | SIAYA | 0 |
0%
|
| 602 | KISUMU | 0 |
0%
|
| 603 | HOMA BAY | 0 |
0%
|
| 604 | MIGORI | 0 |
0%
|
| 605 | KISII | 0 |
0%
|
| 606 | NYAMIRA | 0 |
0%
|
| 701 | TURKANA | 0 |
0%
|
| 702 | WEST POKOT | 0 |
0%
|
| 703 | SAMBURU | 0 |
0%
|
| 704 | TRANS NZOIA | 0 |
0%
|
| 705 | BARINGO | 0 |
0%
|
| 706 | UASIN-GISHU | 0 |
0%
|
| 707 | ELGEYO MARAKWET | 0 |
0%
|
| 708 | NANDI | 0 |
0%
|
| 709 | LAIKIPIA | 0 |
0%
|
| 710 | NAKURU | 0 |
0%
|
| 711 | NAROK | 0 |
0%
|
| 712 | KAJIADO | 0 |
0%
|
| 713 | KERICHO | 0 |
0%
|
| 714 | BOMET | 0 |
0%
|
| 801 | KAKAMEGA | 0 |
0%
|
| 802 | VIHIGA | 0 |
0%
|
| 803 | BUNGOMA | 0 |
0%
|
| 804 | BUSIA | 0 |
0%
|
| 903 | CENTRAL AFRICA | 0 |
0%
|
| 904 | WEST AFRICA | 0 |
0%
|
| 905 | NORTH AFRICA | 0 |
0%
|
| 906 | SOUTH AFRICA | 0 |
0%
|
| 907 | KENYA | 0 |
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%
|
| 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.