Kenya Demographic and Health Survey 2014
Kenya, 2014
Kenya National Bureau of Statistics (KNBS)
Created on
February 15, 2023
Last modified
February 15, 2023
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County of residence - As in the sample file (SREGION)
Data file: Couples' Recode
Overview
Valid:
5265
Invalid:
0
Minimum:
101
Maximum:
804
Type:
Continuous
Decimal:
0
Width:
3
Range:
101 - 804
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | Nairobi | 150 |
2.8%
|
| 201 | Nyandarua | 102 |
1.9%
|
| 202 | Nyeri | 150 |
2.8%
|
| 203 | Kirinyaga | 139 |
2.6%
|
| 204 | Muranga | 111 |
2.1%
|
| 205 | Kiambu | 96 |
1.8%
|
| 301 | Mombasa | 93 |
1.8%
|
| 302 | Kwale | 90 |
1.7%
|
| 303 | Kilifi | 122 |
2.3%
|
| 304 | Tana River | 118 |
2.2%
|
| 305 | Lamu | 99 |
1.9%
|
| 306 | Taita Taveta | 98 |
1.9%
|
| 401 | Marsabit | 85 |
1.6%
|
| 402 | Isiolo | 80 |
1.5%
|
| 403 | Meru | 167 |
3.2%
|
| 404 | Tharaka | 93 |
1.8%
|
| 405 | Embu | 113 |
2.1%
|
| 406 | Kitui | 107 |
2%
|
| 407 | Machakos | 124 |
2.4%
|
| 408 | Makueni | 114 |
2.2%
|
| 501 | Garissa | 75 |
1.4%
|
| 502 | Wajir | 71 |
1.3%
|
| 503 | Mandera | 73 |
1.4%
|
| 601 | Siaya | 123 |
2.3%
|
| 602 | Kisumu | 119 |
2.3%
|
| 603 | Migori | 137 |
2.6%
|
| 604 | Homa Bay | 117 |
2.2%
|
| 605 | Kisii | 142 |
2.7%
|
| 606 | Nyamira | 136 |
2.6%
|
| 701 | Turkana | 55 |
1%
|
| 702 | West Pokot | 128 |
2.4%
|
| 703 | Samburu | 75 |
1.4%
|
| 704 | Trans-Nzoia | 111 |
2.1%
|
| 705 | Baringo | 89 |
1.7%
|
| 706 | Uasin Gishu | 147 |
2.8%
|
| 707 | Elgeyo Marak | 108 |
2.1%
|
| 708 | Nandi | 143 |
2.7%
|
| 709 | Laikipia | 104 |
2%
|
| 710 | Nakuru | 120 |
2.3%
|
| 711 | Narok | 129 |
2.5%
|
| 712 | Kajiado | 95 |
1.8%
|
| 713 | Kericho | 103 |
2%
|
| 714 | Bomet | 122 |
2.3%
|
| 801 | Kakamega | 153 |
2.9%
|
| 802 | Vihiga | 88 |
1.7%
|
| 803 | Bungoma | 133 |
2.5%
|
| 804 | Busia | 118 |
2.2%
|
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.