2012/13 National Housing Survey

Kenya, 2012

Kenya National Bureau of Statistics

CSV JSON

County (COUNTY_new)

Data file: NHS Renters Individual data

Overview

Valid: 19826

Invalid: 0

Type: Discrete

Decimal: 0

Width: 2

Range: 1 - 44

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	BARINGO	374	1.9%
2	BOMET	49	0.2%
3	BUNGOMA	485	2.4%
4	BUSIA	383	1.9%
5	ELGEYO/MARAKWET	172	0.9%
6	EMBU	344	1.7%
7	HOMA BAY	443	2.2%
8	ISIOLO	172	0.9%
9	KAJIADO	488	2.5%
10	KAKAMEGA	387	2%
11	KERICHO	370	1.9%
12	KIAMBU	827	4.2%
13	KILIFI	416	2.1%
14	KIRINYAGA	238	1.2%
15	KISII	124	0.6%
16	KISUMU	734	3.7%
17	KITUI	75	0.4%
18	KWALE	460	2.3%
19	LAIKIPIA	933	4.7%
20	LAMU	229	1.2%
21	MACHAKOS	250	1.3%
22	MAKUENI	173	0.9%
23	MARSABIT	201	1%
24	MERU	462	2.3%
25	MIGORI	325	1.6%
26	MOMBASA	991	5%
27	MURANGA	263	1.3%
28	NAIROBI	2991	15.1%
29	NAKURU	919	4.6%
30	NANDI	4	0%
31	NAROK	431	2.2%
32	NYAMIRA	162	0.8%
33	NYANDARUA	325	1.6%
34	NYERI	605	3.1%
35	SAMBURU	122	0.6%
36	SIAYA	469	2.4%
37	TAITA TAVETA	452	2.3%
38	TANA RIVER	84	0.4%
39	THARAKA	51	0.3%
40	TRANS-NZOIA	624	3.1%
41	TURKANA	365	1.8%
42	UASIN GISHU	1646	8.3%
43	VIHIGA	122	0.6%
44	WEST POKOT	86	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.