Kenya Demographic and Health Survey 2003

Kenya, 2003

Kenya National Bureau of Statistics (KNBS)

CSV JSON

District (SDIST)

Data file: KEKR41FL

Overview

Valid: 5949

Invalid: 0

Minimum: 101

Maximum: 808

Type: Continuous

Decimal: 0

Width: 3

Range: 101 - 808

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
101	Nairobi	548	9.2%
201	Kiambu	161	2.7%
202	Kirinyaga	85	1.4%
203	Muranga	47	0.8%
204	Nyandarua	111	1.9%
205	Nyeri	117	2%
206	Thika	135	2.3%
207	Maragua	74	1.2%
301	Kilifi	115	1.9%
302	Kwale	191	3.2%
303	Lamu	26	0.4%
304	Mombasa	177	3%
305	Taita Taveta	52	0.9%
306	Tana River	62	1%
307	Malindi	76	1.3%
401	Embu	29	0.5%
402	Isiolo	15	0.3%
403	Kitui	77	1.3%
404	Makueni	156	2.6%
405	Machakos	129	2.2%
406	Marsabit	20	0.3%
407	Mbeere	12	0.2%
408	Meru Central	42	0.7%
409	Moyale	9	0.2%
410	Mwingi	71	1.2%
411	Meru North	108	1.8%
412	Tharaka	8	0.1%
413	Meru South	24	0.4%
501	Garissa	147	2.5%
502	Mandera	123	2.1%
503	Wajir	182	3.1%
601	Gucha	88	1.5%
602	Homa Bay	62	1%
603	Central Kisii	76	1.3%
604	Kisumu	77	1.3%
605	Kuria	39	0.7%
606	Migori	81	1.4%
607	Kisii North	87	1.5%
608	Rachuonyo	75	1.3%
609	Siaya	76	1.3%
610	Suba	32	0.5%
611	Bondo	43	0.7%
612	Nyando	56	0.9%
701	Baringo	29	0.5%
702	Bomet	66	1.1%
703	Keiyo	21	0.4%
704	Kajiado	71	1.2%
705	Kericho	72	1.2%
706	Koibatek	24	0.4%
707	Laikipia	52	0.9%
708	Marakwet	41	0.7%
709	Nakuru	173	2.9%
710	Nandi	122	2.1%
711	Narok	88	1.5%
712	Samburu	33	0.6%
713	Trans Mara	46	0.8%
714	Trans Nzoia	90	1.5%
715	Turkana	76	1.3%
716	Uasin Gishu	72	1.2%
717	West Pokot	53	0.9%
718	Buret	71	1.2%
801	Bungoma	211	3.5%
802	Busia	103	1.7%
803	Mt. Elgon	53	0.9%
804	Kakamega	150	2.5%
805	Lugari	49	0.8%
806	Teso	33	0.6%
807	Vihiga	83	1.4%
808	Butere Mumias	146	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.