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    Home / Central Data Catalog / DDI-KEN-KNBS-MICS-2000-V1.0 / variable [F22]
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Kenya Multiple Indicator Cluster Survey (MICS) 2000

Kenya, 2000
Kenya National Bureau of Statistics
Created on September 16, 2022 Last modified September 16, 2022 Page views 95085 Download 979 Documentation in PDF Metadata DDI/XML JSON
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  • chKE
  • hhKE
  • HlKE
  • wmKE
CSV JSON

District (hi4_1)

Data file: wmKE

Overview

Valid: 10525
Invalid: 0
Minimum: 101
Maximum: 808
Type: Discrete
Decimal: 0
Width: 6
Range: 101 - 808
Format: Numeric

Questions and instructions

Categories
Value Category Cases
101 Nairobi 495
4.7%
201 Kiambu 176
1.7%
202 Kirinyaga 229
2.2%
203 Muranga 119
1.1%
204 Nyandarua 217
2.1%
205 Nyeri 319
3%
206 Thika 208
2%
207 Maragua 132
1.3%
301 Kilifi 236
2.2%
302 Kwale 237
2.3%
303 Lamu 97
0.9%
304 Mombasa 288
2.7%
305 Taita/Taveta 247
2.3%
306 Tana/River 177
1.7%
307 76
0.7%
401 Embu 146
1.4%
402 Isiolo 25
0.2%
403 Kitui 184
1.7%
404 Makueni 205
1.9%
405 Machakos 246
2.3%
406 Marsabit 0
0%
407 Mbeere 89
0.8%
408 Meru Central 143
1.4%
409 Moyale 0
0%
410 Mwingi 137
1.3%
411 Meru North 130
1.2%
412 Tharaka 0
0%
413 Nithi 90
0.9%
501 Garissa 52
0.5%
502 Mandera 34
0.3%
503 Wajir 27
0.3%
601 Gucha 190
1.8%
602 Homa bay 63
0.6%
603 Kisii central 211
2%
604 Kisumu 310
2.9%
605 Kuria 32
0.3%
606 Migori 99
0.9%
607 Nyamira 243
2.3%
608 Nyamira 73
0.7%
609 Siaya 253
2.4%
610 Suba 41
0.4%
611 Bondo 107
1%
612 Nyando 168
1.6%
701 Baringo 153
1.5%
702 Bomet 90
0.9%
703 Keiyo 137
1.3%
704 Kajiado 278
2.6%
705 Kericho 154
1.5%
706 Koibatek 36
0.3%
707 Laikipia 204
1.9%
708 Marakwet 110
1%
709 Nakuru 460
4.4%
710 Nandi 326
3.1%
711 Narok 131
1.2%
712 Samburu 0
0%
713 Trans mara 63
0.6%
714 Trans Nzoia 250
2.4%
715 Turkana 0
0%
716 322
3.1%
717 West pokot 178
1.7%
718 Buret 89
0.8%
801 Bungoma 346
3.3%
802 Busia 144
1.4%
803 Mt. Elgon 31
0.3%
804 Kakamega 130
1.2%
805 Lugari 38
0.4%
806 Teso 82
0.8%
807 Vihiga 114
1.1%
808 Butere/Mumias 108
1%
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.
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