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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Division (DIVISION)
Data file: NHS Renters Household data
Overview
Valid:
6273
Invalid:
0
Type:
Discrete
Width:
17
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| ABOGETA | 2 |
0%
|
|
| ABOTHUGUCHI C. | 2 |
0%
|
|
| ABOTHUGUCHI W. | 1 |
0%
|
|
| AINABKOI | 66 |
1.1%
|
|
| AINAMOI | 43 |
0.7%
|
|
| AMAGORO | 22 |
0.4%
|
|
| AMU | 40 |
0.6%
|
|
| ASEGO | 57 |
0.9%
|
|
| ATHI RIVER | 55 |
0.9%
|
|
| AWENDO | 31 |
0.5%
|
|
| BAHARI | 15 |
0.2%
|
|
| BAHATI | 25 |
0.4%
|
|
| BAMBURI | 14 |
0.2%
|
|
| BANGALE | 1 |
0%
|
|
| BARWESSA | 1 |
0%
|
|
| BOMANI | 47 |
0.7%
|
|
| BOMET CENTRA | 16 |
0.3%
|
|
| BORABU | 27 |
0.4%
|
|
| BUDALANGI | 9 |
0.1%
|
|
| BUMULA | 1 |
0%
|
|
| BUSIA TOWNSHIP | 35 |
0.6%
|
|
| BUTULA | 2 |
0%
|
|
| CENTRAL | 735 |
11.7%
|
|
| CHAKOL | 28 |
0.4%
|
|
| CHALA | 10 |
0.2%
|
|
| CHANGAMWE | 59 |
0.9%
|
|
| CHAVAKALI | 4 |
0.1%
|
|
| CHEBORGE | 2 |
0%
|
|
| CHEPKORIO | 1 |
0%
|
|
| CHEPSEON | 15 |
0.2%
|
|
| CHEPTALAL | 2 |
0%
|
|
| CHERANGANY | 6 |
0.1%
|
|
| CHONYI | 1 |
0%
|
|
| CHUKA | 16 |
0.3%
|
|
| CHWELE | 1 |
0%
|
|
| DAGORETTI | 95 |
1.5%
|
|
| DAIGA | 5 |
0.1%
|
|
| DIANI | 95 |
1.5%
|
|
| DUKANA | 1 |
0%
|
|
| DUNDORI | 6 |
0.1%
|
|
| EAST | 13 |
0.2%
|
|
| EAST KARACHUONYO | 1 |
0%
|
|
| EKERENYO | 1 |
0%
|
|
| ELBURGON | 11 |
0.2%
|
|
| ELDAMA RAVIN | 45 |
0.7%
|
|
| EMBAKASI | 297 |
4.7%
|
|
| EMUHAYA | 1 |
0%
|
|
| ENTONET | 6 |
0.1%
|
|
| ESAGERI | 3 |
0%
|
|
| EVURORE | 1 |
0%
|
|
| FAZA | 3 |
0%
|
|
| FUNYULA | 2 |
0%
|
|
| GALOLE | 3 |
0%
|
|
| GARBATULA | 2 |
0%
|
|
| GARSEN | 11 |
0.2%
|
|
| GATUNDU | 29 |
0.5%
|
|
| GICHUGU | 19 |
0.3%
|
|
| GILGIL | 2 |
0%
|
|
| GITHUNGURI | 3 |
0%
|
|
| GITHURAI | 49 |
0.8%
|
|
| GWASSI | 1 |
0%
|
|
| HINDI | 9 |
0.1%
|
|
| IGEMBE CENTRAL | 17 |
0.3%
|
|
| IGEMBE EAST | 3 |
0%
|
|
| IGEMBE SOUTH | 1 |
0%
|
|
| IKINU | 7 |
0.1%
|
|
| ILEHO | 9 |
0.1%
|
|
| ISINYA | 42 |
0.7%
|
|
| ISLAND | 60 |
1%
|
|
| JEPKOYAI | 6 |
0.1%
|
|
| JIPE | 3 |
0%
|
|
| JOMVU | 52 |
0.8%
|
|
| JUJA | 42 |
0.7%
|
|
| KABARNET | 40 |
0.6%
|
|
| KABARTONJO | 1 |
0%
|
|
| KABAZI | 6 |
0.1%
|
|
| KABETE | 10 |
0.2%
|
|
| KABIANGA | 15 |
0.2%
|
|
| KAHURO | 2 |
0%
|
|
| KAINUK | 8 |
0.1%
|
|
| KAKUMA | 5 |
0.1%
|
|
| KAKUZI | 30 |
0.5%
|
|
| KALOLENI | 1 |
0%
|
|
| KAMARA | 6 |
0.1%
|
|
| KAMARINY | 24 |
0.4%
|
|
| KAMASIAN | 1 |
0%
|
|
| KANDARA | 1 |
0%
|
|
| KANDUYI | 47 |
0.7%
|
|
| KAPCHEROP | 4 |
0.1%
|
|
| KAPENGURIA | 21 |
0.3%
|
|
| KAPLAMAI | 8 |
0.1%
|
|
| KAPSARET | 126 |
2%
|
|
| KAPSERET | 2 |
0%
|
|
| KAPSOWAR | 10 |
0.2%
|
|
| KAPTAMA | 6 |
0.1%
|
|
| KAREMO | 25 |
0.4%
|
|
| KARIARA | 2 |
0%
|
|
| KASARANI | 156 |
2.5%
|
|
| KASEMENI | 1 |
0%
|
|
| KASIKEU | 1 |
0%
|
|
| KASIPUL | 21 |
0.3%
|
|
| KATANGI | 3 |
0%
|
|
| KATHIANI | 3 |
0%
|
|
| KATILU | 1 |
0%
|
|
| KEHANCHA | 19 |
0.3%
|
|
| KEIYAN | 5 |
0.1%
|
|
| KENYENYA | 3 |
0%
|
|
| KERINGET | 7 |
0.1%
|
|
| KESSES | 2 |
0%
|
|
| KHWISERO | 1 |
0%
|
|
| KIAMBAA | 10 |
0.2%
|
|
| KIAMOKAMA | 6 |
0.1%
|
|
| KIBERA | 104 |
1.7%
|
|
| KIBWEZI | 13 |
0.2%
|
|
| KIENI EAST | 47 |
0.7%
|
|
| KIENI WEST | 26 |
0.4%
|
|
| KIGUMO | 11 |
0.2%
|
|
| KIHARU | 25 |
0.4%
|
|
| KIKAMBALA | 48 |
0.8%
|
|
| KIKUYU | 30 |
0.5%
|
|
| KILGORIS | 26 |
0.4%
|
|
| KILUNGU | 11 |
0.2%
|
|
| KIMILILI | 23 |
0.4%
|
|
| KIMININI | 23 |
0.4%
|
|
| KINANGO | 11 |
0.2%
|
|
| KINNA | 1 |
0%
|
|
| KIPINI | 1 |
0%
|
|
| KIPIPIRI | 14 |
0.2%
|
|
| KIRINYAGA CENTRAL | 27 |
0.4%
|
|
| KIRISIA | 17 |
0.3%
|
|
| KISANANA | 2 |
0%
|
|
| KISAUNI | 110 |
1.8%
|
|
| KIUNGA | 2 |
0%
|
|
| KONGONI | 3 |
0%
|
|
| KOSIRAI | 1 |
0%
|
|
| KUBO | 1 |
0%
|
|
| KURESOI | 1 |
0%
|
|
| KWANZA | 9 |
0.1%
|
|
| KYENI | 1 |
0%
|
|
| LAARE | 14 |
0.2%
|
|
| LAISAMIS | 1 |
0%
|
|
| LAMURIA | 12 |
0.2%
|
|
| LANET | 26 |
0.4%
|
|
| LARI | 8 |
0.1%
|
|
| LELAN | 3 |
0%
|
|
| LIKONI | 25 |
0.4%
|
|
| LIMURU | 27 |
0.4%
|
|
| LOKICHOGIO | 28 |
0.4%
|
|
| LOKITAUNG | 1 |
0%
|
|
| LONDIAN | 26 |
0.4%
|
|
| LONGO | 12 |
0.2%
|
|
| LORROKI | 1 |
0%
|
|
| LOWER NYAKACH | 1 |
0%
|
|
| LUANDA | 15 |
0.2%
|
|
| LUGARI | 1 |
0%
|
|
| LUNGA LUNGA | 2 |
0%
|
|
| LURAMBI | 2 |
0%
|
|
| MAAI MAHIU | 22 |
0.4%
|
|
| MADOGO | 9 |
0.1%
|
|
| MAGARINI | 4 |
0.1%
|
|
| MAKADARA | 96 |
1.5%
|
|
| MAKIMA | 2 |
0%
|
|
| MAKINDU | 15 |
0.2%
|
|
| MAKUYU | 26 |
0.4%
|
|
| MALINDI | 57 |
0.9%
|
|
| MANGA | 7 |
0.1%
|
|
| MANGU | 5 |
0.1%
|
|
| MARAGUA | 4 |
0.1%
|
|
| MARANDA | 29 |
0.5%
|
|
| MARIAKANI | 11 |
0.2%
|
|
| MARIGAT | 9 |
0.1%
|
|
| MASENO | 16 |
0.3%
|
|
| MASHURU | 4 |
0.1%
|
|
| MASII | 4 |
0.1%
|
|
| MATHIOYA | 2 |
0%
|
|
| MATHIRA | 30 |
0.5%
|
|
| MATUGA | 6 |
0.1%
|
|
| MATUNGU | 10 |
0.2%
|
|
| MATUNGULU | 1 |
0%
|
|
| MAU | 15 |
0.2%
|
|
| MAU NAROK | 2 |
0%
|
|
| MBITA | 14 |
0.2%
|
|
| MERTI | 1 |
0%
|
|
| MIRIGA-MIERU EAST | 3 |
0%
|
|
| MIRIGA-MIERU WEST | 70 |
1.1%
|
|
| MOGOTIO | 5 |
0.1%
|
|
| MOIBEN | 62 |
1%
|
|
| MOLO | 13 |
0.2%
|
|
| MOSOCHO | 18 |
0.3%
|
|
| MPEKETONI | 16 |
0.3%
|
|
| MSAMBWENI | 7 |
0.1%
|
|
| MTITO ANDEI | 4 |
0.1%
|
|
| MUHORONI | 40 |
0.6%
|
|
| MUKURWEINI | 18 |
0.3%
|
|
| MUMBERES | 12 |
0.2%
|
|
| MUMIAS | 33 |
0.5%
|
|
| MUNICIPALITY | 264 |
4.2%
|
|
| MUNYAKA | 19 |
0.3%
|
|
| MUTHAMBI | 1 |
0%
|
|
| MUTONGUNI | 1 |
0%
|
|
| MWALA | 2 |
0%
|
|
| MWATATE | 15 |
0.2%
|
|
| MWEA | 44 |
0.7%
|
|
| MWIMBI | 4 |
0.1%
|
|
| NAIVASHA | 48 |
0.8%
|
|
| NALONDO | 1 |
0%
|
|
| NAMBALE | 9 |
0.1%
|
|
| NDANAI | 3 |
0%
|
|
| NDARAGWA | 19 |
0.3%
|
|
| NDAVAYA | 5 |
0.1%
|
|
| NDIA | 21 |
0.3%
|
|
| NDIVISI | 1 |
0%
|
|
| NDOLELI | 2 |
0%
|
|
| NEMBURE | 8 |
0.1%
|
|
| NGARUA | 18 |
0.3%
|
|
| NGONG | 82 |
1.3%
|
|
| NJORO | 4 |
0.1%
|
|
| NKUENE | 30 |
0.5%
|
|
| NORTH KINANG | 19 |
0.3%
|
|
| NYAHURURU | 106 |
1.7%
|
|
| NYAMAIYA | 3 |
0%
|
|
| NYAMIRA | 2 |
0%
|
|
| NYAMUSI | 1 |
0%
|
|
| NYANDO | 13 |
0.2%
|
|
| NYANGALA | 2 |
0%
|
|
| NYATIKE | 12 |
0.2%
|
|
| OBBU | 5 |
0.1%
|
|
| OGEMBO | 7 |
0.1%
|
|
| OL KALOU | 16 |
0.3%
|
|
| OL-JORO-OROK | 26 |
0.4%
|
|
| OL-MORAN | 2 |
0%
|
|
| OLDONYIRO | 1 |
0%
|
|
| OLENGURUONI | 1 |
0%
|
|
| OLOLULUNG'A | 4 |
0.1%
|
|
| OLOLULUNGA | 12 |
0.2%
|
|
| OLTIASIKA | 3 |
0%
|
|
| OSUPUKO | 12 |
0.2%
|
|
| OTHAYA | 1 |
0%
|
|
| PUMWANI | 54 |
0.9%
|
|
| RABAI | 11 |
0.2%
|
|
| RIGOMA | 1 |
0%
|
|
| ROMBO | 9 |
0.1%
|
|
| RONGAI | 6 |
0.1%
|
|
| RONGO | 1 |
0%
|
|
| RORET | 2 |
0%
|
|
| RUIRU | 13 |
0.2%
|
|
| RUMURUTI | 35 |
0.6%
|
|
| RUNYENJES | 15 |
0.2%
|
|
| SERICHO | 9 |
0.1%
|
|
| SHAMAKHOKHO | 1 |
0%
|
|
| SHAVIRINGA | 5 |
0.1%
|
|
| SIAKAGO | 14 |
0.2%
|
|
| SIGOR | 1 |
0%
|
|
| SIRISIA | 9 |
0.1%
|
|
| SOUTH KINANG | 14 |
0.2%
|
|
| SOY | 110 |
1.8%
|
|
| SUBA EAST | 31 |
0.5%
|
|
| SUNEKA | 10 |
0.2%
|
|
| TAMBACH | 15 |
0.2%
|
|
| TAMBUA | 1 |
0%
|
|
| TARASAA | 2 |
0%
|
|
| TAUSA | 3 |
0%
|
|
| TETU WEST | 2 |
0%
|
|
| THIKA WEST | 29 |
0.5%
|
|
| TIGANIA CENTRAL | 3 |
0%
|
|
| TIMAU | 30 |
0.5%
|
|
| TOT | 4 |
0.1%
|
|
| TURBI | 2 |
0%
|
|
| TURBO | 91 |
1.5%
|
|
| TURKWEL | 1 |
0%
|
|
| UGUNJA | 10 |
0.2%
|
|
| UKWALA | 5 |
0.1%
|
|
| UPPER NYAKACH | 1 |
0%
|
|
| URINGU | 2 |
0%
|
|
| URIRI | 2 |
0%
|
|
| USIGU | 17 |
0.3%
|
|
| VIHIGA | 11 |
0.2%
|
|
| VOI | 43 |
0.7%
|
|
| WAMBA | 15 |
0.2%
|
|
| WASO | 15 |
0.2%
|
|
| WEBUYE | 29 |
0.5%
|
|
| WENJE | 2 |
0%
|
|
| WESTLANDS | 51 |
0.8%
|
|
| WINAM | 142 |
2.3%
|
|
| WITU | 3 |
0%
|
|
| WOTE | 16 |
0.3%
|
|
| WUNDANYI | 17 |
0.3%
|
|
| YALA | 26 |
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.