2012/13 National Housing Survey
Kenya, 2012
Kenya National Bureau of Statistics
Created on
June 01, 2022
Last modified
June 01, 2022
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County (COUNTY_new)
Data file: NHS Renters Household data
Overview
Valid:
6273
Invalid:
0
Type:
Discrete
Decimal:
0
Width:
2
Range:
1 - 44
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | BARINGO | 118 |
1.9%
|
| 2 | BOMET | 21 |
0.3%
|
| 3 | BUNGOMA | 118 |
1.9%
|
| 4 | BUSIA | 107 |
1.7%
|
| 5 | ELGEYO/MARAKWET | 62 |
1%
|
| 6 | EMBU | 124 |
2%
|
| 7 | HOMA BAY | 123 |
2%
|
| 8 | ISIOLO | 56 |
0.9%
|
| 9 | KAJIADO | 161 |
2.6%
|
| 10 | KAKAMEGA | 121 |
1.9%
|
| 11 | KERICHO | 104 |
1.7%
|
| 12 | KIAMBU | 289 |
4.6%
|
| 13 | KILIFI | 148 |
2.4%
|
| 14 | KIRINYAGA | 103 |
1.6%
|
| 15 | KISII | 45 |
0.7%
|
| 16 | KISUMU | 213 |
3.4%
|
| 17 | KITUI | 35 |
0.6%
|
| 18 | KWALE | 128 |
2%
|
| 19 | LAIKIPIA | 350 |
5.6%
|
| 20 | LAMU | 73 |
1.2%
|
| 21 | MACHAKOS | 97 |
1.5%
|
| 22 | MAKUENI | 60 |
1%
|
| 23 | MARSABIT | 61 |
1%
|
| 24 | MERU | 180 |
2.9%
|
| 25 | MIGORI | 96 |
1.5%
|
| 26 | MOMBASA | 332 |
5.3%
|
| 27 | MURANGA | 103 |
1.6%
|
| 28 | NAIROBI | 922 |
14.7%
|
| 29 | NAKURU | 259 |
4.1%
|
| 30 | NANDI | 1 |
0%
|
| 31 | NAROK | 138 |
2.2%
|
| 32 | NYAMIRA | 41 |
0.7%
|
| 33 | NYANDARUA | 108 |
1.7%
|
| 34 | NYERI | 226 |
3.6%
|
| 35 | SAMBURU | 48 |
0.8%
|
| 36 | SIAYA | 112 |
1.8%
|
| 37 | TAITA TAVETA | 140 |
2.2%
|
| 38 | TANA RIVER | 29 |
0.5%
|
| 39 | THARAKA | 21 |
0.3%
|
| 40 | TRANS-NZOIA | 159 |
2.5%
|
| 41 | TURKANA | 117 |
1.9%
|
| 42 | UASIN GISHU | 455 |
7.3%
|
| 43 | VIHIGA | 44 |
0.7%
|
| 44 | WEST POKOT | 25 |
0.4%
|
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.