Health and Wellbeing of older persons in Kenya: Tackling the data gaps and needs, N/A

Kenya, 2018
Population Dynamics and Urbanization in Africa (PDAU)

Dr Lucy Maina, Dr Gloria Langat

CSV JSON

County of Birth (q_103)

Data file: Tackling the data gaps

Overview

vald 783

invd 0

Interval discrete

Decimal 0

Range 1 - 47

Questions and instructions

Categories

Value	Category	Cases
1	Mombasa	2	0.3%
2	Kwale	0	0%
3	Kilifi	0	0%
4	Tana River	0	0%
5	Lamu	0	0%
6	Taita Taveta	1	0.1%
7	Garissa	1	0.1%
8	Wajir	1	0.1%
9	Mandera	0	0%
10	Marsabit	0	0%
11	Isiolo	0	0%
12	Meru	1	0.1%
13	Tharaka Nithi	0	0%
14	Embu	2	0.3%
15	Kitui	3	0.4%
16	Machakos	11	1.4%
17	Makueni	2	0.3%
18	Nyandarua	12	1.5%
19	Nyeri	20	2.6%
20	Kirinyaga	2	0.3%
21	Muranga	74	9.5%
22	Kiambu	578	73.8%
23	Turkana	0	0%
24	West Pokot	0	0%
25	Samburu	0	0%
26	Trans Nzoia	2	0.3%
27	Uasin Gishu	1	0.1%
28	Elgeyo Marakwet	0	0%
29	Nandi	0	0%
30	Baringo	3	0.4%
31	Laikipia	3	0.4%
32	Nakuru	40	5.1%
33	Narok	1	0.1%
34	Kajiado	1	0.1%
35	Kericho	6	0.8%
36	Bomet	0	0%
37	Kakamega	1	0.1%
38	Vihiga	1	0.1%
39	Bungoma	0	0%
40	Busia	1	0.1%
41	Siaya	0	0%
42	Kisumu	0	0%
43	Homa Bay	0	0%
44	Migori	0	0%
45	Kisii	2	0.3%
46	Nyamira	0	0%
47	Nairobi	11	1.4%

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.