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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 253391 Metadata DDI/XML JSON
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  • pwd_HH
  • pwd_hl
  • pwd_ind
  • pwd_rh
CSV JSON

District of birth (QH06$02)

Data file: pwd_HH

Overview

Valid: 13088
Invalid: 2020
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 143
1.1%
101 Nairobi 340
2.6%
201 Kiambu 384
2.9%
202 Kirinyaga 233
1.8%
203 Muranga 343
2.6%
204 Nyandarua 201
1.5%
205 Nyeri 419
3.2%
206 Thika 259
2%
207 Maragua 184
1.4%
301 Kilifi 259
2%
302 Kwale 283
2.2%
303 Lamu 48
0.4%
304 Mombasa 238
1.8%
305 Taita Taveta 155
1.2%
306 Tana River 113
0.9%
307 Malindi 95
0.7%
401 Embu 164
1.3%
402 Isiolo 55
0.4%
403 Kitui 242
1.8%
404 Makueni 348
2.7%
405 Machakos 484
3.7%
406 Marsabit 60
0.5%
407 Mbeere 63
0.5%
408 Meru Central 246
1.9%
409 Moyale 50
0.4%
410 Mwingi 141
1.1%
411 Meru North 248
1.9%
412 Tharaka 42
0.3%
413 Meru South (Nithi) 99
0.8%
501 Garisa 228
1.7%
502 Mandera 258
2%
503 Wajir 333
2.5%
504 Ijara 0
0%
601 Gucha (South Kisii) 223
1.7%
602 Homa Bay 166
1.3%
603 Kisii Central 262
2%
604 Kisumu 252
1.9%
605 Kuria 68
0.5%
606 Migori 211
1.6%
607 Nyamira (North Kisii) 223
1.7%
608 Rachuonyo 162
1.2%
609 Siaya 343
2.6%
610 Suba 64
0.5%
611 Bondo 103
0.8%
612 Nyando 138
1.1%
701 Baringo 112
0.9%
702 Bomet 141
1.1%
703 Keiyo 52
0.4%
704 Kajiado 126
1%
705 Kericho 139
1.1%
706 Koibatek 57
0.4%
707 Laikipia 59
0.5%
708 Marakwet 56
0.4%
709 Nakuru 334
2.6%
710 Nandi 187
1.4%
711 Narok 116
0.9%
712 Samburu 85
0.6%
713 Trans Mara 42
0.3%
714 Trans Nzioa 163
1.2%
715 Turkana 126
1%
716 Uasin Gishu 181
1.4%
717 West Pokot 99
0.8%
718 Buret 100
0.8%
801 Bungoma 464
3.5%
802 Busia 213
1.6%
803 Mt. Elgon 68
0.5%
804 Kakamega 409
3.1%
805 Lugari 67
0.5%
806 Teso 81
0.6%
807 Vihiga 379
2.9%
808 Butere/Mumias 259
2%
999 4
Sysmiss 2016
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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