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
20873
What was [name] 's County/Country of birth? (b09)
Data file: hhm
Overview
Valid:
14948
Invalid:
0
Minimum:
101
Maximum:
1006
Type:
Discrete
Decimal:
0
Width:
32
Range:
101 - 1006
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101.0 | NAIROBI | 4514 |
30.2%
|
| 201.0 | NYANDARUA | 92 |
0.6%
|
| 202.0 | NYERI | 195 |
1.3%
|
| 203.0 | KIRINYAGA | 100 |
0.7%
|
| 204.0 | MURANGA | 304 |
2%
|
| 205.0 | KIAMBU | 282 |
1.9%
|
| 301.0 | MOMBASA | 50 |
0.3%
|
| 302.0 | KWALE | 14 |
0.1%
|
| 303.0 | KILIFI | 15 |
0.1%
|
| 304.0 | TANA RIVER | 5 |
0%
|
| 305.0 | LAMU | 3 |
0%
|
| 306.0 | TAITA TAVETA | 12 |
0.1%
|
| 401.0 | MARSABIT | 16 |
0.1%
|
| 402.0 | ISIOLO | 18 |
0.1%
|
| 403.0 | MERU | 85 |
0.6%
|
| 404.0 | THARAKA NITHI | 13 |
0.1%
|
| 405.0 | EMBU | 40 |
0.3%
|
| 406.0 | KITUI | 123 |
0.8%
|
| 407.0 | MACHAKOS | 221 |
1.5%
|
| 408.0 | MAKUENI | 145 |
1%
|
| 501.0 | GARISSA | 59 |
0.4%
|
| 502.0 | WAJIR | 54 |
0.4%
|
| 503.0 | MANDERA | 45 |
0.3%
|
| 601.0 | SIAYA | 215 |
1.4%
|
| 602.0 | KISUMU | 220 |
1.5%
|
| 603.0 | HOMA BAY | 115 |
0.8%
|
| 604.0 | MIGORI | 97 |
0.6%
|
| 605.0 | KISII | 272 |
1.8%
|
| 606.0 | NYAMIRA | 101 |
0.7%
|
| 701.0 | TURKANA | 17 |
0.1%
|
| 702.0 | WEST POKOT | 2 |
0%
|
| 703.0 | SAMBURU | 2 |
0%
|
| 704.0 | TRANS NZOIA | 36 |
0.2%
|
| 705.0 | BARINGO | 14 |
0.1%
|
| 706.0 | UASIN-GISHU | 44 |
0.3%
|
| 707.0 | ELGEYO MARAKWET | 16 |
0.1%
|
| 708.0 | NANDI | 34 |
0.2%
|
| 709.0 | LAIKIPIA | 23 |
0.2%
|
| 710.0 | NAKURU | 88 |
0.6%
|
| 711.0 | NAROK | 5 |
0%
|
| 712.0 | KAJIADO | 31 |
0.2%
|
| 713.0 | KERICHO | 36 |
0.2%
|
| 714.0 | BOMET | 14 |
0.1%
|
| 801.0 | KAKAMEGA | 276 |
1.8%
|
| 802.0 | VIHIGA | 126 |
0.8%
|
| 803.0 | BUNGOMA | 90 |
0.6%
|
| 804.0 | BUSIA | 120 |
0.8%
|
| 900.0 | OTHER AFRICA | 101 |
0.7%
|
| 901.0 | UGANDA | 82 |
0.5%
|
| 902.0 | TANZANIA | 25 |
0.2%
|
| 903.0 | CENTRAL AFRICA | 5 |
0%
|
| 904.0 | WEST AFRICA | 20 |
0.1%
|
| 905.0 | NORTH AFRICA | 1 |
0%
|
| 907.0 | KENYA | 414 |
2.8%
|
| 910.0 | OTHER ASIA | 6 |
0%
|
| 913.0 | MIDDLE EAST | 1 |
0%
|
| 935.0 | FRANCE | 9 |
0.1%
|
| 940.0 | OTHER AMERICA | 1 |
0%
|
| 960.0 | OTHER COUNTRIES | 57 |
0.4%
|
| 1001.0 | SOMALIA | 1233 |
8.2%
|
| 1002.0 | ETHIOPIA | 809 |
5.4%
|
| 1003.0 | SUDAN | 71 |
0.5%
|
| 1004.0 | SOUTH SUDAN | 218 |
1.5%
|
| 1005.0 | DEMOCRATIC REPUBLIC OF THE CONGO | 3239 |
21.7%
|
| 1006.0 | BURUNDI | 257 |
1.7%
|
| 906 | SOUTH AFRICA | 0 |
0%
|
| 911 | JAPAN | 0 |
0%
|
| 912 | INDIA | 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%
|
| 936 | SCANDINAVIA | 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%
|
| z | Not applicable/administered | 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.