Kenya Population and Housing Census 2009 - IPUMS Subset
Kenya, 2009
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Reference ID
WBG_KEN_2009_PHC_v01_M_v03_A_IPUMS
Producer(s)
Kenya National Bureau of Statistics, Minnesota Population Center
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Metadata
Created on
May 19, 2021
Last modified
May 19, 2021
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- Data files
- KEN2009-H-H
- KEN2009-P-H
Country or district of birth (KE2009A_0409)
Data file: KEN2009-P-H
Overview
Valid:
0
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
174
End:
176
Width:
3
Range:
21 - 999
Format:
Numeric
Questions and instructions
Literal question
A: Information regarding all persons
[Questions P-00 to P-23 were asked of all persons in conventional households or refugee camps].
Birth place
P-18. Where was [person] born? _ _ _
Write district code, if in Kenya, or country code, if outside Kenya. The code list is provided.
[Questions P-00 to P-23 were asked of all persons in conventional households or refugee camps].
Birth place
P-18. Where was [person] born? _ _ _
Write district code, if in Kenya, or country code, if outside Kenya. The code list is provided.
Categories
| Value | Category |
|---|---|
| 21 | Angola |
| 22 | Benin |
| 23 | Botswana |
| 24 | Burkina Faso |
| 25 | Burundi |
| 26 | Cameroon |
| 27 | Cape Verde |
| 28 | Central African Republic |
| 29 | Chad |
| 30 | Comoros |
| 31 | Congo, republic of the... |
| 32 | Côte d'ivoire |
| 33 | Democratic Republic of the Congo |
| 34 | Guinea-Bissau |
| 35 | Djibouti |
| 36 | Egypt |
| 37 | Equatorial Guinea |
| 38 | Eritrea |
| 39 | Ethiopia |
| 40 | Gabon |
| 42 | Ghana |
| 53 | Mozambique |
| 56 | Nigeria |
| 57 | Rwanda |
| 60 | Seychelles |
| 62 | Somalia |
| 63 | South Africa |
| 64 | Sudan |
| 66 | Togo |
| 67 | Tunisia |
| 68 | Uganda |
| 69 | United Republic of Tanzania |
| 70 | Zambia |
| 71 | Zimbabwe |
| 90 | Other African country |
| 101 | Nairobi West |
| 102 | Nairobi East |
| 103 | Nairobi North |
| 104 | Westlands |
| 201 | Nyandarua North |
| 202 | Nyandarua South |
| 203 | Nyeri North |
| 204 | Nyeri South |
| 205 | Kirinyaga |
| 206 | Murang'a North |
| 207 | Murang'a South |
| 208 | Kiambu |
| 209 | Kikuyu |
| 210 | Limuru |
| 211 | Lari |
| 212 | Githunguri |
| 213 | Thika East |
| 214 | Thika West |
| 215 | Ruiru |
| 216 | Gatanga |
| 217 | Gatundu |
| 301 | Mombasa |
| 302 | Kilindini |
| 303 | Kwale |
| 304 | Kinango |
| 305 | Msambweni |
| 306 | Kilifi |
| 307 | Kaloleni |
| 308 | Malindi |
| 309 | Tana river |
| 310 | Tana delta |
| 311 | Lamu |
| 312 | Taita |
| 313 | Taveta |
| 401 | Marsabit |
| 402 | Chalbi |
| 403 | Laisamis |
| 404 | Moyale |
| 405 | Isiolo |
| 406 | Garba Tulla |
| 407 | Imenti Central |
| 408 | Imenti North |
| 409 | Imenti South |
| 410 | Meru South |
| 411 | Maara |
| 412 | Igembe |
| 413 | Tigania |
| 414 | Tharaka |
| 415 | Embu |
| 416 | Mbeere |
| 417 | Kitui North |
| 418 | Kitui South |
| 419 | Mwingi |
| 420 | Kyuso |
| 421 | Machakos |
| 422 | Mwala |
| 423 | Yatta |
| 424 | Kangundo |
| 425 | Makueni |
| 426 | Mbooni |
| 427 | Kibwezi |
| 428 | Nzaui |
| 501 | Garisa |
| 502 | Lagdera |
| 503 | Fafi |
| 504 | Ijara |
| 505 | Wajir South |
| 506 | Wajir North |
| 507 | Wajir East |
| 508 | Wajir West |
| 509 | Mandera Central |
| 510 | Mandera East |
| 511 | Mandera West |
| 601 | Siaya |
| 602 | Bondo |
| 603 | Rarieda |
| 604 | Kisumu East |
| 605 | Kisumu West |
| 606 | Nyando |
| 607 | Homa Bay |
| 608 | Suba |
| 609 | Rachuonyo |
| 610 | Migori |
| 611 | Rongo |
| 612 | Kuria West |
| 613 | Kuria East |
| 614 | Kisii Central |
| 615 | Kisii South |
| 616 | Masaba |
| 617 | Gucha |
| 618 | Gucha South |
| 619 | Nyamira |
| 620 | Manga |
| 621 | Borabu |
| 701 | Turkana Central |
| 702 | Turkana North |
| 703 | Turkana South |
| 704 | West Pokot |
| 705 | Pokot North |
| 706 | Pokot Central |
| 707 | Samburu Central |
| 708 | Samburu East |
| 709 | Samburu North |
| 710 | Trans Nzoia West |
| 711 | Trans Nzoia East |
| 712 | Kwanza |
| 713 | Baringo |
| 714 | Baringo North |
| 715 | East Pokot |
| 716 | Koibatek |
| 717 | Eldoret West |
| 718 | Eldoret East |
| 719 | Wareng |
| 720 | Marakwet |
| 721 | Keiyo |
| 722 | Nandi North |
| 723 | Nandi Central |
| 724 | Nandi East |
| 725 | Nandi South |
| 726 | Tinderet |
| 727 | Laikipia North |
| 728 | Laikipia East |
| 729 | Laikipia West |
| 730 | Nakuru |
| 731 | Nakuru North |
| 732 | Naivasha |
| 733 | Molo |
| 734 | Narok North |
| 735 | Narok South |
| 736 | Trans Mara |
| 737 | Kajiado Central |
| 738 | Loitoktok |
| 739 | Kericho |
| 740 | Kipkelion |
| 741 | Buret |
| 742 | Sotik |
| 743 | Bomet |
| 744 | Kajiado North |
| 801 | Kakamega Central |
| 802 | Kakamega South |
| 803 | Kakamega North |
| 804 | Kakamega East |
| 805 | Lugari |
| 806 | Vihiga |
| 807 | Emuhaya |
| 808 | Hamisi |
| 809 | Mumias |
| 810 | Butere |
| 811 | Bungoma South |
| 812 | Bungoma North |
| 813 | Bungoma East |
| 814 | Bungoma West |
| 815 | Mt Elgon |
| 816 | Busia |
| 817 | Teso North |
| 818 | Samia |
| 819 | Bunyala |
| 820 | Teso South |
| 858 | China |
| 860 | India |
| 864 | Israel |
| 865 | Japan |
| 879 | Pakistan |
| 882 | Republic of Korea |
| 884 | Saudi Arabia |
| 886 | Sri Lanka |
| 888 | Surian Arab |
| 891 | United Arab Emirates |
| 893 | Yemen |
| 900 | Belgium |
| 908 | Finland |
| 909 | France |
| 911 | Germany |
| 915 | Ireland |
| 916 | Italy |
| 927 | Netherlands |
| 928 | Norway |
| 941 | Sweden |
| 942 | Switzerland |
| 948 | United Kingdom of Great Britain and Northern Ireland |
| 954 | Canada |
| 970 | United States of America |
| 982 | Australia |
| 995 | Other non-African country |
| 999 | Unknown |
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.
Interviewer instructions
- Section A: Information regarding all persons. This information is contained in columns P00 to P23. Questions in this section will apply to all persons.
27. Column P18: Birth place
Ask: Where was [the respondent] born?
Birthplace is the usual place of residence of mother at the time of the respondent's birth. This question is meant to establish persons who are not enumerated in their places of birth and hence have migrated. Sometimes expectant mothers move from the rural areas to urban areas for purposes of delivery since maternity services are better at the latter. This kind of movement is short lived and must not be confused with a migratory one. For example, if a woman who usually resides in Ruiru district moves to Nairobi to deliver her child, it will be assumed that the woman went to Nairobi purposely for maternity services. Thus the district of birth of the child will be recorded as Ruiru.
27.1 For persons born in Kenya, code district using the list provided. For example, a person born in Kikuyu district, code "209" and for a person born in Tharaka district, code "414".
27.2 Relate the person's birthplace to the present district's frontiers as far as possible. District boundaries have been changed over the years and we want to relate a person's place of birth to the district as it is constituted now. The codes must however be based on the code list provided.
27.3 For districts that have been split, probe to find the actual district of birth and code the name by which it is currently known based on the code list provided.
27.4 For persons born outside Kenya, code the country of birth. For example, a person born in Tanzania will be coded "987", Uganda "983", Somalia "962" etc.
27.5 Code "888" if district of birth is not known and "999" for not stated.
27. Column P18: Birth place
Ask: Where was [the respondent] born?
Birthplace is the usual place of residence of mother at the time of the respondent's birth. This question is meant to establish persons who are not enumerated in their places of birth and hence have migrated. Sometimes expectant mothers move from the rural areas to urban areas for purposes of delivery since maternity services are better at the latter. This kind of movement is short lived and must not be confused with a migratory one. For example, if a woman who usually resides in Ruiru district moves to Nairobi to deliver her child, it will be assumed that the woman went to Nairobi purposely for maternity services. Thus the district of birth of the child will be recorded as Ruiru.
27.1 For persons born in Kenya, code district using the list provided. For example, a person born in Kikuyu district, code "209" and for a person born in Tharaka district, code "414".
27.2 Relate the person's birthplace to the present district's frontiers as far as possible. District boundaries have been changed over the years and we want to relate a person's place of birth to the district as it is constituted now. The codes must however be based on the code list provided.
27.3 For districts that have been split, probe to find the actual district of birth and code the name by which it is currently known based on the code list provided.
27.4 For persons born outside Kenya, code the country of birth. For example, a person born in Tanzania will be coded "987", Uganda "983", Somalia "962" etc.
27.5 Code "888" if district of birth is not known and "999" for not stated.
Description
Definition
This variable indicates the person's birth place.
Universe
All persons
concept
Concept
| var_concept.title | Vocabulary |
|---|---|
| Nativity and Birthplace Variables -- PERSON | IPUMS |