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    Home / Central Data Catalog / POPULATION_DYNAMICS_AND_URBANIZATION_IN_AFRICA / APHRC-UPHD-MIGRATIONS-2006-1.4 / variable [F1]
Population_Dynamics_and_Urbanization_in_Africa

UPHD - Migration and Employment History for Pre-Selected Individuals Aged 12 and plus

KENYA, 2006 - 2010
Population Dynamics and Urbanization in Africa (PDAU)
African Population & Health Research Center
Last modified November 24, 2014 Page views 235724 Documentation in PDF Metadata DDI/XML JSON
  • Study description
  • Documentation
  • Data Description
  • Get Microdata
  • Data files
  • MIGRATION
    HISTORY
  • MIGRATION
    CALENDAR
CSV JSON

District/Division in which Individual was born (v509b)

Data file: MIGRATION HISTORY

Overview

vald 17865
invd 0
Interval discrete
Decimal 0
Range 101 - 9999

Questions and instructions

Literal question
What is the name of the area where you were born?
Categories
Value Category Cases
101 101. Kiambu 576
3.2%
102 102. Kirinyaga 108
0.6%
103 103. Maragua 193
1.1%
104 104. Murang'a 1547
8.7%
105 105. Nyandarua 158
0.9%
106 106. Nyeri 547
3.1%
107 107. Thika 380
2.1%
108 108. Nyahururu 29
0.2%
109 109. Limuru 9
0.1%
110 110. Nanyuki 2
0%
111 111. Kerugoya 0
0%
201 201. Kilifi 7
0%
202 202. Kwale 4
0%
203 203. Lamu 3
0%
204 204. Malindi 2
0%
205 205. Mombasa 56
0.3%
206 206. Taita Taveta 55
0.3%
207 207. Tana River 2
0%
208 208. Voi 0
0%
209 209. Changamwe 0
0%
301 301. Embu 85
0.5%
302 302. Isiolo 127
0.7%
303 303. Kitui 597
3.3%
304 304. Machakos 1707
9.6%
305 305. Makueni 1231
6.9%
306 306. Marsabit 68
0.4%
307 307. Mbeere 71
0.4%
308 308. Meru Central 2
0%
309 309. Meru North 4
0%
310 310. Meru 132
0.7%
311 311. Moyale 192
1.1%
312 312. Mwingi 114
0.6%
313 313. Tharaka 13
0.1%
314 314. Kangundo 28
0.2%
315 315. Athi River 0
0%
316 316. Matuu 1
0%
317 317. Mwanza 0
0%
318 318. Mbooni 10
0.1%
319 319. Loitok 1
0%
320 320. Kibwezi 4
0%
321 321. Tala 1
0%
322 322. Ndhiwa 0
0%
323 323. Yatta 8
0%
401 401. Makadara 34
0.2%
402 402. Starehe 25
0.1%
403 403. Lang'ata/Kibera 16
0.1%
404 404. Kasarani 47
0.3%
405 405. Westlands 6
0%
406 406. Embakasi 17
0.1%
407 407. Kamukunji/Pumwani 16
0.1%
408 408. Dagoretti 7
0%
501 501. Garissa 15
0.1%
502 502. Ijara 0
0%
503 503. Mandera 235
1.3%
504 504. Wajir 39
0.2%
505 505. Elwak 24
0.1%
601 601. Bondo 136
0.8%
602 602. Gucha (South Kisii) 158
0.9%
603 603. Homa Bay 83
0.5%
604 604. Kisii Central 403
2.3%
605 605. Kisumu 328
1.8%
606 606. Kuria 10
0.1%
607 607. Migori 111
0.6%
608 608. Nyamira (North Kisii) 190
1.1%
609 609. Nyando 85
0.5%
610 610. Rachuonyo 124
0.7%
611 611. Siaya 892
5%
612 612. Suba 23
0.1%
613 613. Oyugis 1
0%
614 614. Ugenya 19
0.1%
615 615. Nyakach 5
0%
616 616. Alego 0
0%
617 617. Gem 4
0%
618 618. Kendu Bay 1
0%
619 619. Ahero 2
0%
620 620. Asembo 0
0%
621 621. Gwasi 0
0%
701 701. Baringo 2
0%
702 702. Bomet 15
0.1%
703 703. Bureti 0
0%
704 704. Kajiado 45
0.3%
705 705. Keiyo 0
0%
706 706. Kericho 43
0.2%
707 707. Koibatek 1
0%
708 708. Laikipia 34
0.2%
709 709. Nakuru 254
1.4%
710 710. Nandi North 33
0.2%
711 711. Nandi South 0
0%
712 712. Narok 20
0.1%
713 713. Samburu 4
0%
714 714. Transmara 0
0%
715 715. Trans Nzoia 35
0.2%
716 716. Turkana 2
0%
717 717. Uasin Gishu 31
0.2%
718 718. West Pokot 2
0%
719 719. Eldoret/Kitale 26
0.1%
720 720. Molo 9
0.1%
721 721. Buret 0
0%
722 722. Kingangop 0
0%
723 723. Nyambene 0
0%
724 724. Kapsabet 8
0%
801 801. Bungoma 129
0.7%
802 802. Busia 286
1.6%
803 803. Butere Mumias 479
2.7%
804 804. Kakamega 423
2.4%
805 805. Lugari 24
0.1%
806 806. Elgon 4
0%
807 807. Teso 16
0.1%
808 808. Vihiga 555
3.1%
809 809. Webuye 3
0%
810 810. Amagoro 1
0%
901 901. Outside Kenya 79
0.4%
9995 9995. Missing 7
0%
9996 9996. Other 8
0%
9997 9997. Refusal 0
0%
9998 9998. Unknown 3
0%
9999 9999. Not applicable 4154
23.3%
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.
Question pretext
Instructions of FWs: For questions asking for places: if place is in Nairobi record district & locations, otherwise record province and district. By place of birth, I mean the place where your mother was living at the time you were born
Question post text
(Record the Province/District) (P)____ (D)____ (L)____. Code Sheet A5

Description

Text
District of birth
Universe
Eligible Individuals Aged 12 and above during the period, 2006 - 2010 who accepted to participate in the study, excluding those who were born and always lived in Nairobi.
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