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Kenya Aids Indicator Survey 2007

Kenya, 2007
Kenya National Bureau of Statistics
Created on June 01, 2022 Last modified June 01, 2022 Page views 106366 Metadata DDI/XML JSON
  • Study description
  • Data Description
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  • Household
    Characteristics
  • Household
    Roster
  • Individual
    Questionnire
  • Mosquito Nets
  • Sexual Partners
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CSV JSON

District (qhdist)

Data file: Mosquito Nets

Overview

Valid: 10995
Invalid: 0
Minimum: 101
Maximum: 808
Type: Continuous
Decimal: 0
Width: 8
Range: 101 - 808
Format: Numeric

Questions and instructions

Categories
Value Category Cases
101 Nairobi 1291
11.7%
201 Kiambu 78
0.7%
202 Kirinyaga 314
2.9%
203 Muranga 79
0.7%
204 Nyandarua 34
0.3%
205 Nyeri 83
0.8%
206 Thika 265
2.4%
207 Maragua 110
1%
301 Kilifi 268
2.4%
302 Kwale 367
3.3%
303 Lamu 43
0.4%
304 Mombasa 489
4.4%
305 Taita Taveta 180
1.6%
306 Tana River 44
0.4%
307 Malindi 135
1.2%
401 Embu 112
1%
402 Isiolo 34
0.3%
403 Kitui 205
1.9%
404 Makueni 337
3.1%
405 Machakos 361
3.3%
406 Marsabit 4
0%
407 Mbeere 86
0.8%
408 Meru Central 174
1.6%
409 Moyale 28
0.3%
410 Mwingi 59
0.5%
411 Meru North 187
1.7%
412 Tharaka 26
0.2%
413 Meru South 245
2.2%
501 Garissa 127
1.2%
502 Mandera 91
0.8%
503 Wajir 176
1.6%
601 Gucha 238
2.2%
602 Homa Bay 113
1%
603 Central Kisii 243
2.2%
604 Kisumu 269
2.4%
605 Kuria 50
0.5%
606 Migori 306
2.8%
607 Kisii North 214
1.9%
608 Rachuonyo 145
1.3%
609 Siaya 231
2.1%
610 Suba 48
0.4%
611 Bondo 102
0.9%
612 Nyando 209
1.9%
701 Baringo 62
0.6%
702 Bomet 43
0.4%
703 Keiyo 11
0.1%
704 Kajiado 49
0.4%
705 Kericho 109
1%
706 Koibatek 23
0.2%
707 Laikipia 28
0.3%
708 Marakwet 5
0%
709 Nakuru 121
1.1%
710 Nandi 102
0.9%
711 Narok 11
0.1%
712 Samburu 0
0%
713 Trans Mara 13
0.1%
714 Trans Nzoia 113
1%
715 Turkana 7
0.1%
716 Uasin Gishu 216
2%
717 West Pokot 61
0.6%
718 Buret 105
1%
801 Bungoma 541
4.9%
802 Busia 264
2.4%
803 Mt. Elgon 0
0%
804 Kakamega 279
2.5%
805 Lugari 72
0.7%
806 Teso 91
0.8%
807 Vihiga 208
1.9%
808 Butere Mumias 261
2.4%
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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