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Migration Household Survey 2009

Kenya, 2009
University of Nairobi
Created on June 01, 2022 Last modified June 01, 2022 Page views 63482 Metadata DDI/XML JSON
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Birth place of migrant (q5_5a)

Data file: section5

Overview

Valid: 1905
Invalid: 0
Type: Discrete
Width: 16
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
999 34
1.8%
America 4
0.2%
Baringo 5
0.3%
Baringo Central 1
0.1%
Baringo central 1
0.1%
Belgium 1
0.1%
Bomani 1
0.1%
Bondo 1
0.1%
Brazil 1
0.1%
Britain 4
0.2%
Buhana 1
0.1%
Buhani 2
0.1%
Bungoma 8
0.4%
Bunyala 4
0.2%
Bunyaor 1
0.1%
Bunyoke 1
0.1%
Busia 3
0.2%
Butere 1
0.1%
Canada 7
0.4%
Chuda 2
0.1%
Congo 3
0.2%
Dadaab 3
0.2%
Denmark 2
0.1%
Dubai 4
0.2%
Ehtiopia 1
0.1%
Eldoret 8
0.4%
Embu 59
3.1%
Esabure 1
0.1%
Esigilai 4
0.2%
Gachie 15
0.8%
Gahcie 1
0.1%
Garissa 84
4.4%
Gatanga 5
0.3%
Gathiga 6
0.3%
Gathika 1
0.1%
Gattundu 1
0.1%
Gatundu 8
0.4%
German 3
0.2%
Germany 4
0.2%
Gilgil 1
0.1%
Githunguri 1
0.1%
Gongoni 12
0.6%
Gonngoni 1
0.1%
Gucha 19
1%
Hansburg 1
0.1%
Homabay 2
0.1%
Idereli 8
0.4%
Idereri 6
0.3%
Igeze 1
0.1%
Ikuruma Kisii 3
0.2%
Indakhalasi 2
0.1%
Indereli 2
0.1%
India 5
0.3%
Ireland 1
0.1%
Isiolo 3
0.2%
Italy 7
0.4%
Juja 3
0.2%
Kabaa 1
0.1%
Kabondo 1
0.1%
Kagombani 1
0.1%
Kagombori 1
0.1%
Kaimosi 2
0.1%
Kakamega 27
1.4%
Kakamenga 1
0.1%
Kaloleni 1
0.1%
Kamwangi 6
0.3%
Kangundo 26
1.4%
Kanyadhiang 9
0.5%
Kanyandhiang 2
0.1%
Kapenguria 1
0.1%
Karachuonyo 2
0.1%
Kasipul 5
0.3%
Kasombari 2
0.1%
Kauma 1
0.1%
Kavalanji 2
0.1%
Kegoye 12
0.6%
Keicho 1
0.1%
Kericho 9
0.5%
Kerocho 1
0.1%
Keroka 2
0.1%
Kiabugura 1
0.1%
Kiambu 2
0.1%
Kiamwangi 2
0.1%
Kiamwangui 1
0.1%
Kikuyu 3
0.2%
Kilifi 6
0.3%
Kilome 1
0.1%
Kinango 1
0.1%
Kirinyaga 1
0.1%
Kisii 76
4%
Kisii town 1
0.1%
Kisumu 33
1.7%
Kitale 3
0.2%
Kitengela 1
0.1%
Kithimu 2
0.1%
Kitui 4
0.2%
Kitumba 11
0.6%
Kitutu chache 1
0.1%
Kwale 2
0.1%
Lamu 10
0.5%
Limuru 2
0.1%
Loduar 1
0.1%
Loitoktok 1
0.1%
Londodo 1
0.1%
London 2
0.1%
Lugari 2
0.1%
Lugulu 1
0.1%
Lusola 1
0.1%
Mabanda 4
0.2%
Mabrui 2
0.1%
Machakos 7
0.4%
Madanda 1
0.1%
Magarini 1
0.1%
Magina 1
0.1%
Mahanga 3
0.2%
Makueini 2
0.1%
Makueni 8
0.4%
Makuieni 1
0.1%
Malaha 3
0.2%
Malindi 21
1.1%
Mandera 4
0.2%
Mangu 3
0.2%
Maseno 1
0.1%
Matere 2
0.1%
Mbale 17
0.9%
Mbeere 1
0.1%
Mbooni 1
0.1%
Meru 6
0.3%
Migori 72
3.8%
Modogashe 1
0.1%
Mogori 2
0.1%
Molo 6
0.3%
Mombasa 56
2.9%
Muhoroni 1
0.1%
Mukuli 2
0.1%
Mukumu 1
0.1%
Mumias 4
0.2%
Muranga 11
0.6%
Mutembe 7
0.4%
Mutuate 1
0.1%
Mwaani 1
0.1%
Mwala 1
0.1%
Mwimuto 1
0.1%
Mwingi 1
0.1%
Naiobi 2
0.1%
Nairobi 186
9.8%
Nairoobi 1
0.1%
Naivasha 2
0.1%
Nakuru 59
3.1%
Namimbia 1
0.1%
Nandi 5
0.3%
Nanyuki 1
0.1%
Narok 1
0.1%
Navakholo 1
0.1%
Ndagi 1
0.1%
Nderema 3
0.2%
Nduberi 2
0.1%
Ndumberi 2
0.1%
Nertherlands 1
0.1%
Nigeria 5
0.3%
Njoro 2
0.1%
Norway 3
0.2%
Nyamira 13
0.7%
Nyandarua 1
0.1%
Nyaribari Masaba 1
0.1%
Nyatike 1
0.1%
Nyeri 11
0.6%
Oyugis 11
0.6%
Rabai 1
0.1%
Rachuonyo 47
2.5%
Ranchuonyo 1
0.1%
Riamagale 1
0.1%
Riamagara 3
0.2%
Riamagare 2
0.1%
Rimagare 1
0.1%
Rongai 2
0.1%
Rongo 5
0.3%
Ruiru 1
0.1%
Rwanda 2
0.1%
Ryena 9
0.5%
S.Arabia 1
0.1%
Sabatia 1
0.1%
Saudi Arabia 2
0.1%
Shiandu 1
0.1%
Shinyalu 1
0.1%
Siaya 74
3.9%
Siguta 1
0.1%
Somali 5
0.3%
Somalia 1
0.1%
South Afirca 1
0.1%
South Africa 1
0.1%
South africa 1
0.1%
South korea 2
0.1%
Suba 1
0.1%
Sudan 4
0.2%
Suneka 3
0.2%
Taiata 1
0.1%
Taita 6
0.3%
Tana River 1
0.1%
Tana river 4
0.2%
Tanariver 1
0.1%
Tanzania 6
0.3%
Texas 6
0.3%
Thika 14
0.7%
Tingania 2
0.1%
UAE 1
0.1%
UK 13
0.7%
UK-London 1
0.1%
US 1
0.1%
USA 30
1.6%
Uganda 6
0.3%
Ugenya 1
0.1%
Uk 1
0.1%
United Emirates 1
0.1%
Usenge 1
0.1%
Uvalini 1
0.1%
Vigese 1
0.1%
Vihiga 22
1.2%
Vuhiga 1
0.1%
Wajir 2
0.1%
Watamu 2
0.1%
Watamu-Mombasa 1
0.1%
Webuye 5
0.3%
Wito 2
0.1%
Zanzibar 1
0.1%
america 1
0.1%
baringo 1
0.1%
bungoma 1
0.1%
bunyore 1
0.1%
butere 1
0.1%
canada 2
0.1%
congo 1
0.1%
embi 1
0.1%
embu 27
1.4%
gachode 3
0.2%
garisa 2
0.1%
garissa 9
0.5%
garrisa 1
0.1%
garrissa 1
0.1%
gatanga 2
0.1%
gatundu 2
0.1%
germany 8
0.4%
hamisi 1
0.1%
kakamega 5
0.3%
kamwangi 6
0.3%
kangema 1
0.1%
kangundo 5
0.3%
kasipul 1
0.1%
kegoye 11
0.6%
kiamba 1
0.1%
kiambu 1
0.1%
kiamwangi 2
0.1%
kiamwangui 1
0.1%
kiganjo 5
0.3%
kikampala 1
0.1%
kilifi 3
0.2%
kisii 20
1%
kisumu 10
0.5%
kitale 8
0.4%
lodwar 1
0.1%
lumakanda 3
0.2%
machakos 4
0.2%
maji mazuri 2
0.1%
makueni 2
0.1%
malaha 1
0.1%
malindi 2
0.1%
mandela 1
0.1%
mangu 2
0.1%
mariakani 1
0.1%
maseno 1
0.1%
mbale 10
0.5%
meru 4
0.2%
migori 5
0.3%
mombasa 8
0.4%
mtwapa 1
0.1%
munzatsi 1
0.1%
muranga 9
0.5%
nairobi 56
2.9%
nakuru 4
0.2%
nderema 1
0.1%
njoro 2
0.1%
nyeri 4
0.2%
oyugis 6
0.3%
rachuonyo 7
0.4%
rarieda 1
0.1%
rongo 2
0.1%
rutune 1
0.1%
sabatia 2
0.1%
scotland 1
0.1%
siaya 21
1.1%
suneka 31
1.6%
taita 1
0.1%
thika 8
0.4%
tulimani 3
0.2%
usa 1
0.1%
vihiga 1
0.1%
wajir 1
0.1%
webuye 1
0.1%
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.
var_qstn_ivuinstr
Q5.5 asks the name of the country where this person was born. Please remember to specify the country.