Kenya Continuous Household Survey Programme (KCHSP) - 2020 Quarters 1 and 2

Kenya, 2020

Kenya National Bureau of Statistics

CSV JSON

County (county)

Data file: 2020 KCHSP Q1_Q2 individual_level

Overview

Valid: 41926

Invalid: 0

Type: Discrete

Decimal: 0

Width: 15

Range: 1 - 47

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	Mombasa	518	1.2%
2	Kwale	1197	2.9%
3	Kilifi	785	1.9%
4	Tana River	862	2.1%
5	Lamu	593	1.4%
6	Taita/Taveta	604	1.4%
7	Garissa	904	2.2%
8	Wajir	895	2.1%
9	Mandera	951	2.3%
10	Marsabit	721	1.7%
11	Isiolo	579	1.4%
12	Meru	1024	2.4%
13	Tharaka-Nithi	668	1.6%
14	Embu	796	1.9%
15	Kitui	940	2.2%
16	Machakos	906	2.2%
17	Makueni	1002	2.4%
18	Nyandarua	761	1.8%
19	Nyeri	633	1.5%
20	Kirinyaga	730	1.7%
21	Murang'a	823	2%
22	Kiambu	769	1.8%
23	Turkana	1291	3.1%
24	West Pokot	1167	2.8%
25	Samburu	686	1.6%
26	Trans Nzoia	901	2.1%
27	Uasin Gishu	1095	2.6%
28	Elgeyo/Marakwet	624	1.5%
29	Nandi	981	2.3%
30	Baringo	729	1.7%
31	Laikipia	807	1.9%
32	Nakuru	673	1.6%
33	Narok	987	2.4%
34	Kajiado	789	1.9%
35	Kericho	835	2%
36	Bomet	1191	2.8%
37	Kakamega	1249	3%
38	Vihiga	906	2.2%
39	Bungoma	1423	3.4%
40	Busia	953	2.3%
41	Siaya	1087	2.6%
42	Kisumu	1005	2.4%
43	Homa Bay	1200	2.9%
44	Migori	1280	3.1%
45	Kisii	843	2%
46	Nyamira	891	2.1%
47	Nairobi City	672	1.6%

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.