Kenya Demographic and Health Survey 1998

Kenya, 1998

Kenya National Bureau of Statistics (KNBS)

CSV JSON

Household district (smdist)

Data file: KE_Male Recode

Overview

Valid: 3407

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	168	4.9%
21	Kiambu	63	1.8%
22	Kirinyaga	15	0.4%
23	Muranga	68	2%
24	Nyandaru	24	0.7%
25	Nyeri	137	4%
31	Kilifi	127	3.7%
32	Kwale	30	0.9%
33	Lamu	0	0%
34	Mombassa	236	6.9%
35	Taita Taveta	139	4.1%
36	Tana River	0	0%
41	Embu	45	1.3%
43	Kitui	77	2.3%
44	Machakos	237	7%
45	Meru	194	5.7%
61	Kisii	111	3.3%
62	Kisimu	90	2.6%
63	Siaya	121	3.6%
64	South Nyanza	138	4.1%
65	Nyamira	82	2.4%
71	Kajaido	24	0.7%
72	Kericho	169	5%
73	Laikipia	18	0.5%
74	Nakuru	157	4.6%
75	Nandi	199	5.8%
76	Narok	29	0.9%
81	Baringo	26	0.8%
82	Elgeyo-Marakeret	23	0.7%
84	Trans-Nzoia	51	1.5%
86	Uasin Gishu	199	5.8%
87	West Pokot	24	0.7%
91	Bungomo	198	5.8%
92	Busia	32	0.9%
93	Kakamega	156	4.6%

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.