Kenya Demographic and Health Survey 1998

Kenya, 1998

Kenya National Bureau of Statistics (KNBS)

CSV JSON

Household district (SDIST)

Data file: KE_Births_Recode

Overview

Valid: 23351

Invalid: 0

Minimum: 10

Maximum: 93

Type: Continuous

Decimal: 0

Width: 2

Range: 10 - 93

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
10	Nairobi	690	3%
21	Kiambu	306	1.3%
22	Kirinyaga	115	0.5%
23	Muranga	687	2.9%
24	Nyandaru	147	0.6%
25	Nyeri	722	3.1%
31	Kilifi	1309	5.6%
32	Kwale	286	1.2%
33	Lamu	0	0%
34	Mombassa	958	4.1%
35	Taita Taveta	877	3.8%
36	Tana River	0	0%
41	Embu	231	1%
43	Kitui	500	2.1%
44	Machakos	1465	6.3%
45	Meru	1159	5%
61	Kisii	866	3.7%
62	Kisimu	617	2.6%
63	Siaya	1157	5%
64	South Nyanza	1392	6%
65	Nyamira	560	2.4%
71	Kajaido	146	0.6%
72	Kericho	1448	6.2%
73	Laikipia	94	0.4%
74	Nakuru	907	3.9%
75	Nandi	1249	5.3%
76	Narok	283	1.2%
81	Baringo	181	0.8%
82	Elgeyo-Marakeret	179	0.8%
84	Trans-Nzoia	367	1.6%
86	Uasin Gishu	1407	6%
87	West Pokot	148	0.6%
91	Bungomo	1343	5.8%
92	Busia	277	1.2%
93	Kakamega	1278	5.5%

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.