Kenya Demographic and Health Survey 2003

Kenya, 2003

Kenya National Bureau of Statistics (KNBS)

CSV JSON

District (SDIST)

Data file: KEIR41FL

Overview

Valid: 8195

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	1169	14.3%
201	Kiambu	309	3.8%
202	Kirinyaga	203	2.5%
203	Muranga	98	1.2%
204	Nyandarua	155	1.9%
205	Nyeri	247	3%
206	Thika	180	2.2%
207	Maragua	122	1.5%
301	Kilifi	146	1.8%
302	Kwale	184	2.2%
303	Lamu	21	0.3%
304	Mombasa	340	4.1%
305	Taita Taveta	97	1.2%
306	Tana River	58	0.7%
307	Malindi	92	1.1%
401	Embu	72	0.9%
402	Isiolo	20	0.2%
403	Kitui	97	1.2%
404	Makueni	171	2.1%
405	Machakos	178	2.2%
406	Marsabit	25	0.3%
407	Mbeere	28	0.3%
408	Meru Central	106	1.3%
409	Moyale	3	0%
410	Mwingi	79	1%
411	Meru North	153	1.9%
412	Tharaka	12	0.1%
413	Meru South	49	0.6%
501	Garissa	141	1.7%
502	Mandera	101	1.2%
503	Wajir	195	2.4%
601	Gucha	127	1.5%
602	Homa Bay	67	0.8%
603	Central Kisii	123	1.5%
604	Kisumu	112	1.4%
605	Kuria	48	0.6%
606	Migori	88	1.1%
607	Kisii North	138	1.7%
608	Rachuonyo	78	1%
609	Siaya	114	1.4%
610	Suba	39	0.5%
611	Bondo	43	0.5%
612	Nyando	48	0.6%
701	Baringo	30	0.4%
702	Bomet	64	0.8%
703	Keiyo	16	0.2%
704	Kajiado	87	1.1%
705	Kericho	85	1%
706	Koibatek	26	0.3%
707	Laikipia	54	0.7%
708	Marakwet	40	0.5%
709	Nakuru	239	2.9%
710	Nandi	138	1.7%
711	Narok	66	0.8%
712	Samburu	36	0.4%
713	Trans Mara	37	0.5%
714	Trans Nzoia	101	1.2%
715	Turkana	73	0.9%
716	Uasin Gishu	121	1.5%
717	West Pokot	41	0.5%
718	Buret	74	0.9%
801	Bungoma	241	2.9%
802	Busia	125	1.5%
803	Mt. Elgon	44	0.5%
804	Kakamega	175	2.1%
805	Lugari	65	0.8%
806	Teso	40	0.5%
807	Vihiga	154	1.9%
808	Butere Mumias	147	1.8%

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.