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Kenya National Survey for Persons with Disabilities 2007

Kenya, 2007
National Coordinating Agency for Population and Development
Created on June 01, 2022 Last modified June 01, 2022 Page views 253375 Metadata DDI/XML JSON
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  • pwd_HH
  • pwd_hl
  • pwd_ind
  • pwd_rh
CSV JSON

District of birth (QH06$03)

Data file: pwd_HH

Overview

Valid: 11617
Invalid: 3491
Minimum: 0
Maximum: 808
Type: Discrete
Decimal: 0
Width: 3
Range: 0 - 808
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 Outside Kenya 57
0.5%
101 Nairobi 743
6.4%
201 Kiambu 313
2.7%
202 Kirinyaga 184
1.6%
203 Muranga 147
1.3%
204 Nyandarua 193
1.7%
205 Nyeri 281
2.4%
206 Thika 258
2.2%
207 Maragua 158
1.4%
301 Kilifi 225
1.9%
302 Kwale 239
2.1%
303 Lamu 46
0.4%
304 Mombasa 300
2.6%
305 Taita Taveta 139
1.2%
306 Tana River 102
0.9%
307 Malindi 96
0.8%
401 Embu 135
1.2%
402 Isiolo 47
0.4%
403 Kitui 208
1.8%
404 Makueni 299
2.6%
405 Machakos 376
3.2%
406 Marsabit 52
0.4%
407 Mbeere 65
0.6%
408 Meru Central 199
1.7%
409 Moyale 42
0.4%
410 Mwingi 119
1%
411 Meru North 215
1.9%
412 Tharaka 39
0.3%
413 Meru South (Nithi) 82
0.7%
501 Garisa 214
1.8%
502 Mandera 236
2%
503 Wajir 305
2.6%
504 Ijara 0
0%
601 Gucha (South Kisii) 193
1.7%
602 Homa Bay 131
1.1%
603 Kisii Central 200
1.7%
604 Kisumu 202
1.7%
605 Kuria 71
0.6%
606 Migori 200
1.7%
607 Nyamira (North Kisii) 209
1.8%
608 Rachuonyo 153
1.3%
609 Siaya 187
1.6%
610 Suba 58
0.5%
611 Bondo 87
0.7%
612 Nyando 118
1%
701 Baringo 92
0.8%
702 Bomet 123
1.1%
703 Keiyo 43
0.4%
704 Kajiado 130
1.1%
705 Kericho 125
1.1%
706 Koibatek 51
0.4%
707 Laikipia 65
0.6%
708 Marakwet 51
0.4%
709 Nakuru 357
3.1%
710 Nandi 165
1.4%
711 Narok 116
1%
712 Samburu 75
0.6%
713 Trans Mara 44
0.4%
714 Trans Nzioa 170
1.5%
715 Turkana 124
1.1%
716 Uasin Gishu 198
1.7%
717 West Pokot 91
0.8%
718 Buret 88
0.8%
801 Bungoma 404
3.5%
802 Busia 195
1.7%
803 Mt. Elgon 70
0.6%
804 Kakamega 284
2.4%
805 Lugari 86
0.7%
806 Teso 80
0.7%
807 Vihiga 249
2.1%
808 Butere/Mumias 218
1.9%
999 2
Sysmiss 3489
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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