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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 235735 Documentation in PDF Metadata DDI/XML JSON
  • Study description
  • Documentation
  • Data Description
  • Get Microdata
  • Data files
  • MIGRATION
    HISTORY
  • MIGRATION
    CALENDAR
CSV JSON

District/Division Individual lived before NAIROBI (v502b)

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 living before coming to Nairobi?
Categories
Value Category Cases
101 101. Kiambu 612
3.4%
102 102. Kirinyaga 107
0.6%
103 103. Maragua 191
1.1%
104 104. Murang'a 1505
8.4%
105 105. Nyandarua 169
0.9%
106 106. Nyeri 518
2.9%
107 107. Thika 466
2.6%
108 108. Nyahururu 24
0.1%
109 109. Limuru 11
0.1%
110 110. Nanyuki 6
0%
111 111. Kerugoya 1
0%
201 201. Kilifi 10
0.1%
202 202. Kwale 6
0%
203 203. Lamu 2
0%
204 204. Malindi 4
0%
205 205. Mombasa 186
1%
206 206. Taita Taveta 43
0.2%
207 207. Tana River 1
0%
208 208. Voi 0
0%
209 209. Changamwe 0
0%
301 301. Embu 86
0.5%
302 302. Isiolo 120
0.7%
303 303. Kitui 561
3.1%
304 304. Machakos 1692
9.5%
305 305. Makueni 1183
6.6%
306 306. Marsabit 63
0.4%
307 307. Mbeere 73
0.4%
308 308. Meru Central 3
0%
309 309. Meru North 3
0%
310 310. Meru 135
0.8%
311 311. Moyale 188
1.1%
312 312. Mwingi 106
0.6%
313 313. Tharaka 12
0.1%
314 314. Kangundo 24
0.1%
315 315. Athi River 2
0%
316 316. Matuu 2
0%
317 317. Mwanza 0
0%
318 318. Mbooni 7
0%
319 319. Loitok 1
0%
320 320. Kibwezi 7
0%
321 321. Tala 1
0%
322 322. Ndhiwa 0
0%
323 323. Yatta 7
0%
401 401. Makadara 5
0%
402 402. Starehe 7
0%
403 403. Lang'ata/Kibera 4
0%
404 404. Kasarani 4
0%
405 405. Westlands 5
0%
406 406. Embakasi 13
0.1%
407 407. Kamukunji/Pumwani 3
0%
408 408. Dagoretti 4
0%
501 501. Garissa 22
0.1%
502 502. Ijara 0
0%
503 503. Mandera 219
1.2%
504 504. Wajir 36
0.2%
505 505. Elwak 23
0.1%
601 601. Bondo 131
0.7%
602 602. Gucha (South Kisii) 150
0.8%
603 603. Homa Bay 93
0.5%
604 604. Kisii Central 395
2.2%
605 605. Kisumu 351
2%
606 606. Kuria 9
0.1%
607 607. Migori 113
0.6%
608 608. Nyamira (North Kisii) 169
0.9%
609 609. Nyando 81
0.5%
610 610. Rachuonyo 120
0.7%
611 611. Siaya 869
4.9%
612 612. Suba 23
0.1%
613 613. Oyugis 1
0%
614 614. Ugenya 17
0.1%
615 615. Nyakach 2
0%
616 616. Alego 2
0%
617 617. Gem 3
0%
618 618. Kendu Bay 1
0%
619 619. Ahero 2
0%
620 620. Asembo 0
0%
621 621. Gwasi 2
0%
701 701. Baringo 2
0%
702 702. Bomet 15
0.1%
703 703. Bureti 0
0%
704 704. Kajiado 88
0.5%
705 705. Keiyo 2
0%
706 706. Kericho 53
0.3%
707 707. Koibatek 3
0%
708 708. Laikipia 36
0.2%
709 709. Nakuru 323
1.8%
710 710. Nandi North 33
0.2%
711 711. Nandi South 0
0%
712 712. Narok 34
0.2%
713 713. Samburu 5
0%
714 714. Transmara 0
0%
715 715. Trans Nzoia 49
0.3%
716 716. Turkana 0
0%
717 717. Uasin Gishu 51
0.3%
718 718. West Pokot 1
0%
719 719. Eldoret/Kitale 42
0.2%
720 720. Molo 14
0.1%
721 721. Buret 0
0%
722 722. Kingangop 0
0%
723 723. Nyambene 0
0%
724 724. Kapsabet 7
0%
801 801. Bungoma 123
0.7%
802 802. Busia 273
1.5%
803 803. Butere Mumias 462
2.6%
804 804. Kakamega 416
2.3%
805 805. Lugari 25
0.1%
806 806. Elgon 4
0%
807 807. Teso 14
0.1%
808 808. Vihiga 528
3%
809 809. Webuye 3
0%
810 810. Amagoro 0
0%
901 901. Outside Kenya 74
0.4%
9995 9995. Missing 6
0%
9996 9996. Other 6
0%
9997 9997. Refusal 0
0%
9998 9998. Unknown 2
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.
Question post text
(Record the Province/District) (P)____ (D)____ (L)____. Code Sheet A5

Description

Text
District of residence before Individual came to Nairobi
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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