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    Home / Central Data Catalog / NUHDSS / APHRC-NUHDSS-RESIDENCY-1.2 / variable [V443]
NUHDSS

NUHDSS-RESIDENCY 2002-2015

KENYA, 2002 - 2015
Nairobi Urban Health & Demographic Surveillance System
African Population and Health Research Center
Last modified June 08, 2022 Page views 97953 Documentation in PDF Metadata DDI/XML JSON
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  • NUHDSS
    Residency_anon_2002-2015
CSV JSON

district in Kenya in which individual was born (res_birthdistrict)

Data file: NUHDSS Residency_anon_2002-2015

Overview

vald 3295070
invd 0
Interval discrete
Decimal 0
Range 7 - 9999995

Questions and instructions

Literal question
What province and district were you/(NAME) born?
Categories
Value Category Cases
7 43
0%
100 central province-district unknown 0
0%
101 kiambu 38600
1.2%
102 kirinyaga 10270
0.3%
103 maragua 19911
0.6%
104 murang'a 138789
4.2%
105 nyandarua 20319
0.6%
106 nyeri 33231
1%
107 thika 24386
0.7%
108 nyahururu 0
0%
109 limuru 0
0%
110 nanyuki 0
0%
111 kerugoya 0
0%
200 coast province-district unknown 0
0%
201 kilifi 492
0%
202 kwale 549
0%
203 lamu 387
0%
204 malindi 435
0%
205 mombasa 4469
0.1%
206 taita taveta 3482
0.1%
207 tana river 190
0%
208 voi 0
0%
209 shinyanga 0
0%
210 changamwe 0
0%
300 eastern province-district unknown 0
0%
301 embu 9663
0.3%
302 isiolo 8747
0.3%
303 kitui 65317
2%
304 machakos 202688
6.2%
305 makueni 92552
2.8%
306 marsabit 6450
0.2%
307 mbeere 5052
0.2%
310 meru 17643
0.5%
311 moyale 8515
0.3%
312 mwingi 8862
0.3%
313 tharaka 769
0%
314 kangundo 0
0%
315 athi river 0
0%
316 matuu 0
0%
317 mwanza 0
0%
318 mbooni 0
0%
319 loitoktok 0
0%
320 kibwezi 0
0%
321 tala 0
0%
322 ndhiwa 0
0%
323 yatta 0
0%
324 garba tula 0
0%
400 nairobi province-district unknown 208529
6.3%
401 central 15041
0.5%
402 dagoretti 2257
0.1%
403 embakasi 43877
1.3%
404 kasarani 163336
5%
405 kibera 7882
0.2%
406 makadara 82954
2.5%
407 pumwani 38587
1.2%
408 westlands 1097
0%
500 north eastern province-district unknown 0
0%
501 garissa 2345
0.1%
502 ijara 493
0%
503 mandera 12119
0.4%
504 wajir 3234
0.1%
505 elwak 48
0%
600 nyanza province-district unknown 0
0%
601 bondo 11738
0.4%
603 homa bay 13730
0.4%
604 kisii central 49333
1.5%
605 kisumu 31674
1%
606 kuria 6288
0.2%
607 migori 11009
0.3%
608 kisii 58736
1.8%
609 nyando 8057
0.2%
610 karachuonyo 6685
0.2%
611 siaya 69033
2.1%
612 suba 2114
0.1%
613 oyugis 0
0%
614 ugenya 0
0%
615 nyakach 0
0%
616 alego 0
0%
617 gem 0
0%
618 kendu bay 0
0%
619 ahero 0
0%
620 asembo 0
0%
621 gwasi 0
0%
700 rift valley province-district unknown 0
0%
701 baringo 563
0%
702 bomet 2750
0.1%
703 bureti 228
0%
704 kajiado 4702
0.1%
705 keiyo 487
0%
706 kericho 2554
0.1%
707 koibatek 716
0%
708 laikipia 3217
0.1%
709 nakuru 25023
0.8%
711 nandi 2718
0.1%
712 narok 1699
0.1%
713 samburu 296
0%
714 transmara 406
0%
715 trans nzoia 8054
0.2%
716 turkana 336
0%
717 uasin gishu 3776
0.1%
718 west pokot 84
0%
719 kitale 0
0%
720 molo 0
0%
721 bureti 0
0%
722 kinangop 0
0%
723 nyambene 0
0%
724 maseno 0
0%
725 kapsabet 0
0%
800 western province-district unknown 0
0%
801 bungoma 19481
0.6%
802 busia 36374
1.1%
803 butere/mumias/bunyore 54506
1.7%
804 kakamega 52405
1.6%
805 lugari 5806
0.2%
806 elgon 6669
0.2%
807 teso 2264
0.1%
808 vihiga 44228
1.3%
809 webuye 0
0%
810 amagoro 0
0%
900 outside Kenya 9984
0.3%
9996 other 0
0%
9997 refused 135
0%
9998 don't know 936528
28.4%
9999 NIU (not in universe) 0
0%
9999995 missing:impute 497074
15.1%
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
na
Question post text
na
Interviewer instructions
Write down the NAME specifying the PROVINCE and DISTRICT where the in migrant was born. The NAME of area where migrant moved from should be recorded on the dotted line.

Description

Text
District in Kenya in which individual was born.
Universe
All residents.
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