Kenya Integrated Household Budget Survey 2015-2016

Kenya, 2015 - 2016

Kenya National Bureau of Statistics

CSV JSON

County (county)

Data file: HH_Information

Overview

Valid: 21773

Invalid: 0

Minimum: 1

Maximum: 47

Mean: 24.527

Standard deviation: 13.623

Type: Discrete

Decimal: 0

Width: 15

Range: 1 - 47

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	Mombasa	460	2.1%
2	Kwale	466	2.1%
3	Kilifi	470	2.2%
4	Tana River	435	2%
5	Lamu	417	1.9%
6	Taita/Taveta	445	2%
7	Garissa	422	1.9%
8	Wajir	409	1.9%
9	Mandera	421	1.9%
10	Marsabit	347	1.6%
11	Isiolo	399	1.8%
12	Meru	534	2.5%
13	Tharaka-Nithi	447	2.1%
14	Embu	454	2.1%
15	Kitui	461	2.1%
16	Machakos	483	2.2%
17	Makueni	494	2.3%
18	Nyandarua	448	2.1%
19	Nyeri	502	2.3%
20	Kirinyaga	466	2.1%
21	Murang'a	485	2.2%
22	Kiambu	511	2.3%
23	Turkana	413	1.9%
24	West Pokot	435	2%
25	Samburu	421	1.9%
26	Trans Nzoia	485	2.2%
27	Uasin Gishu	489	2.2%
28	Elgeyo/Marakwet	440	2%
29	Nandi	486	2.2%
30	Baringo	437	2%
31	Laikipia	462	2.1%
32	Nakuru	493	2.3%
33	Narok	457	2.1%
34	Kajiado	393	1.8%
35	Kericho	473	2.2%
36	Bomet	486	2.2%
37	Kakamega	495	2.3%
38	Vihiga	457	2.1%
39	Bungoma	487	2.2%
40	Busia	472	2.2%
41	Siaya	485	2.2%
42	Kisumu	502	2.3%
43	Homa Bay	479	2.2%
44	Migori	473	2.2%
45	Kisii	534	2.5%
46	Nyamira	489	2.2%
47	Nairobi City	554	2.5%

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.