Kenya Demographic and Health Survey 2003

Kenya, 2003

Kenya National Bureau of Statistics (KNBS)

CSV JSON

District (SHDIST)

Data file: KEHR41FL

Overview

Valid: 8561

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	1201	14%
201	Kiambu	337	3.9%
202	Kirinyaga	202	2.4%
203	Muranga	141	1.6%
204	Nyandarua	176	2.1%
205	Nyeri	282	3.3%
206	Thika	257	3%
207	Maragua	141	1.6%
301	Kilifi	163	1.9%
302	Kwale	172	2%
303	Lamu	24	0.3%
304	Mombasa	363	4.2%
305	Taita Taveta	112	1.3%
306	Tana River	65	0.8%
307	Malindi	76	0.9%
401	Embu	71	0.8%
402	Isiolo	18	0.2%
403	Kitui	106	1.2%
404	Makueni	151	1.8%
405	Machakos	188	2.2%
406	Marsabit	27	0.3%
407	Mbeere	33	0.4%
408	Meru Central	124	1.4%
409	Moyale	5	0.1%
410	Mwingi	55	0.6%
411	Meru North	132	1.5%
412	Tharaka	16	0.2%
413	Meru South	59	0.7%
501	Garissa	149	1.7%
502	Mandera	125	1.5%
503	Wajir	195	2.3%
601	Gucha	98	1.1%
602	Homa Bay	75	0.9%
603	Central Kisii	117	1.4%
604	Kisumu	108	1.3%
605	Kuria	40	0.5%
606	Migori	107	1.2%
607	Kisii North	118	1.4%
608	Rachuonyo	77	0.9%
609	Siaya	124	1.4%
610	Suba	38	0.4%
611	Bondo	54	0.6%
612	Nyando	62	0.7%
701	Baringo	35	0.4%
702	Bomet	69	0.8%
703	Keiyo	22	0.3%
704	Kajiado	78	0.9%
705	Kericho	86	1%
706	Koibatek	22	0.3%
707	Laikipia	70	0.8%
708	Marakwet	43	0.5%
709	Nakuru	269	3.1%
710	Nandi	111	1.3%
711	Narok	68	0.8%
712	Samburu	42	0.5%
713	Trans Mara	44	0.5%
714	Trans Nzoia	97	1.1%
715	Turkana	72	0.8%
716	Uasin Gishu	123	1.4%
717	West Pokot	48	0.6%
718	Buret	70	0.8%
801	Bungoma	241	2.8%
802	Busia	121	1.4%
803	Mt. Elgon	39	0.5%
804	Kakamega	178	2.1%
805	Lugari	62	0.7%
806	Teso	38	0.4%
807	Vihiga	166	1.9%
808	Butere Mumias	163	1.9%

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.