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    Home / Central Data Catalog / KEN-PWDS-2007V01 / variable [F1]
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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 253422 Metadata DDI/XML JSON
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  • pwd_HH
  • pwd_hl
  • pwd_ind
  • pwd_rh
CSV JSON

Where lived most of the time (QH07$09)

Data file: pwd_HH

Overview

Valid: 1265
Invalid: 13843
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 2
0.2%
101 Nairobi 28
2.2%
201 Kiambu 6
0.5%
202 Kirinyaga 5
0.4%
203 Muranga 3
0.2%
204 Nyandarua 9
0.7%
205 Nyeri 4
0.3%
206 Thika 6
0.5%
207 Maragua 5
0.4%
301 Kilifi 45
3.6%
302 Kwale 56
4.4%
303 Lamu 3
0.2%
304 Mombasa 25
2%
305 Taita Taveta 14
1.1%
306 Tana River 11
0.9%
307 Malindi 38
3%
401 Embu 10
0.8%
402 Isiolo 2
0.2%
403 Kitui 35
2.8%
404 Makueni 52
4.1%
405 Machakos 33
2.6%
406 Marsabit 5
0.4%
407 Mbeere 6
0.5%
408 Meru Central 9
0.7%
409 Moyale 10
0.8%
410 Mwingi 27
2.1%
411 Meru North 29
2.3%
412 Tharaka 3
0.2%
413 Meru South (Nithi) 1
0.1%
501 Garisa 43
3.4%
502 Mandera 37
2.9%
503 Wajir 49
3.9%
504 Ijara 0
0%
601 Gucha (South Kisii) 22
1.7%
602 Homa Bay 20
1.6%
603 Kisii Central 20
1.6%
604 Kisumu 21
1.7%
605 Kuria 9
0.7%
606 Migori 31
2.5%
607 Nyamira (North Kisii) 19
1.5%
608 Rachuonyo 26
2.1%
609 Siaya 18
1.4%
610 Suba 10
0.8%
611 Bondo 10
0.8%
612 Nyando 12
0.9%
701 Baringo 19
1.5%
702 Bomet 17
1.3%
703 Keiyo 6
0.5%
704 Kajiado 17
1.3%
705 Kericho 16
1.3%
706 Koibatek 6
0.5%
707 Laikipia 8
0.6%
708 Marakwet 8
0.6%
709 Nakuru 24
1.9%
710 Nandi 16
1.3%
711 Narok 16
1.3%
712 Samburu 9
0.7%
713 Trans Mara 6
0.5%
714 Trans Nzioa 27
2.1%
715 Turkana 14
1.1%
716 Uasin Gishu 21
1.7%
717 West Pokot 12
0.9%
718 Buret 11
0.9%
801 Bungoma 67
5.3%
802 Busia 12
0.9%
803 Mt. Elgon 8
0.6%
804 Kakamega 31
2.5%
805 Lugari 18
1.4%
806 Teso 12
0.9%
807 Vihiga 17
1.3%
808 Butere/Mumias 18
1.4%
Sysmiss 13843
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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