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
11498
Downloads
201
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.