Current residence of migrant (name) (q5_8a)
Data file: section5
Overview
Valid:
998
Invalid:
0
Type:
Discrete
Width:
12
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| . | 1 |
0.1%
|
|
| 999 | 4 |
0.4%
|
|
| Athi river | 2 |
0.2%
|
|
| Bam | 1 |
0.1%
|
|
| Banana | 2 |
0.2%
|
|
| Baringo | 1 |
0.1%
|
|
| Bondo | 2 |
0.2%
|
|
| Bungoma | 5 |
0.5%
|
|
| Bunyala | 2 |
0.2%
|
|
| Bunyore | 4 |
0.4%
|
|
| Busia | 8 |
0.8%
|
|
| Butere | 1 |
0.1%
|
|
| Changamwe | 1 |
0.1%
|
|
| Dadaab | 1 |
0.1%
|
|
| Dadab | 1 |
0.1%
|
|
| Eldamaravin | 2 |
0.2%
|
|
| Eldoret | 38 |
3.8%
|
|
| Embu | 10 |
1%
|
|
| Garissa | 6 |
0.6%
|
|
| Gathiga | 2 |
0.2%
|
|
| Gatundu | 1 |
0.1%
|
|
| Gilgil | 4 |
0.4%
|
|
| Homabay | 9 |
0.9%
|
|
| Isiolo | 2 |
0.2%
|
|
| Juja | 1 |
0.1%
|
|
| Kabanas | 1 |
0.1%
|
|
| Kabungi | 1 |
0.1%
|
|
| Kakamega | 4 |
0.4%
|
|
| Kakamenga | 1 |
0.1%
|
|
| Kapsabet | 2 |
0.2%
|
|
| Kenyeya | 2 |
0.2%
|
|
| Kericho | 12 |
1.2%
|
|
| Kerocho | 1 |
0.1%
|
|
| Kiambu | 4 |
0.4%
|
|
| Kiambu town | 1 |
0.1%
|
|
| Kibwezi | 1 |
0.1%
|
|
| Kilgoris | 1 |
0.1%
|
|
| Kilifi | 1 |
0.1%
|
|
| Kisii | 10 |
1%
|
|
| Kisumu | 39 |
3.9%
|
|
| Kitale | 8 |
0.8%
|
|
| Kithimu | 2 |
0.2%
|
|
| Kitui | 4 |
0.4%
|
|
| Kuria | 2 |
0.2%
|
|
| Lamu | 2 |
0.2%
|
|
| Likoni | 3 |
0.3%
|
|
| Limuru | 5 |
0.5%
|
|
| Loduar | 1 |
0.1%
|
|
| Loi | 1 |
0.1%
|
|
| Loitoktok | 1 |
0.1%
|
|
| Lungale | 2 |
0.2%
|
|
| Machakos | 6 |
0.6%
|
|
| Machokos | 1 |
0.1%
|
|
| Makuba | 1 |
0.1%
|
|
| Makueini | 2 |
0.2%
|
|
| Makueni | 5 |
0.5%
|
|
| Malaba | 1 |
0.1%
|
|
| Malindi | 2 |
0.2%
|
|
| Mandera | 2 |
0.2%
|
|
| Masalani | 1 |
0.1%
|
|
| Maseno | 1 |
0.1%
|
|
| Mbeere | 1 |
0.1%
|
|
| Mbooni | 1 |
0.1%
|
|
| Mchakos | 1 |
0.1%
|
|
| Meru | 4 |
0.4%
|
|
| Migori | 9 |
0.9%
|
|
| Mogori | 1 |
0.1%
|
|
| Moi's Bridge | 1 |
0.1%
|
|
| Molo | 4 |
0.4%
|
|
| Mombasa | 55 |
5.5%
|
|
| Muhoroni | 2 |
0.2%
|
|
| Mumias | 9 |
0.9%
|
|
| Muranga | 1 |
0.1%
|
|
| Mwea | 1 |
0.1%
|
|
| Nairobi | 403 |
40.4%
|
|
| Naitiri | 4 |
0.4%
|
|
| Naivasha | 7 |
0.7%
|
|
| Nakuru | 35 |
3.5%
|
|
| Nanyuki | 2 |
0.2%
|
|
| Narok | 15 |
1.5%
|
|
| Ndenderu | 1 |
0.1%
|
|
| Nduberi | 1 |
0.1%
|
|
| Niarobi | 2 |
0.2%
|
|
| Njoro | 4 |
0.4%
|
|
| Nyahururu | 2 |
0.2%
|
|
| Nyamira | 3 |
0.3%
|
|
| Nyathuna | 1 |
0.1%
|
|
| Nyeri | 7 |
0.7%
|
|
| Nzoia | 1 |
0.1%
|
|
| Oyugis | 1 |
0.1%
|
|
| Riandu | 1 |
0.1%
|
|
| Rongai | 2 |
0.2%
|
|
| Siaya | 1 |
0.1%
|
|
| Soi | 1 |
0.1%
|
|
| Sondu | 1 |
0.1%
|
|
| Suba | 1 |
0.1%
|
|
| Taiata | 1 |
0.1%
|
|
| Taita | 1 |
0.1%
|
|
| Tana River | 1 |
0.1%
|
|
| Teso | 1 |
0.1%
|
|
| Texas | 4 |
0.4%
|
|
| Thika | 5 |
0.5%
|
|
| Tigania | 1 |
0.1%
|
|
| Trans-mara | 1 |
0.1%
|
|
| USA | 1 |
0.1%
|
|
| Uasin Gishu | 1 |
0.1%
|
|
| Ugenya | 1 |
0.1%
|
|
| Ukunda | 1 |
0.1%
|
|
| Vihiga | 4 |
0.4%
|
|
| Wajir | 5 |
0.5%
|
|
| Wangige | 1 |
0.1%
|
|
| Westland | 1 |
0.1%
|
|
| bungoma | 1 |
0.1%
|
|
| eldoret | 2 |
0.2%
|
|
| embu | 4 |
0.4%
|
|
| finland | 1 |
0.1%
|
|
| gachura | 1 |
0.1%
|
|
| kakamega | 1 |
0.1%
|
|
| kamae | 3 |
0.3%
|
|
| kandara | 1 |
0.1%
|
|
| kangema | 1 |
0.1%
|
|
| kericho | 1 |
0.1%
|
|
| kisii | 1 |
0.1%
|
|
| kisumu | 3 |
0.3%
|
|
| kitale | 1 |
0.1%
|
|
| kitengela | 1 |
0.1%
|
|
| likaya | 1 |
0.1%
|
|
| maasai mara | 1 |
0.1%
|
|
| machakos | 2 |
0.2%
|
|
| malindi | 2 |
0.2%
|
|
| mandera | 1 |
0.1%
|
|
| mangu | 6 |
0.6%
|
|
| meru | 1 |
0.1%
|
|
| mombasa | 13 |
1.3%
|
|
| mumias | 1 |
0.1%
|
|
| muranga | 3 |
0.3%
|
|
| mwingi | 1 |
0.1%
|
|
| nairobi | 56 |
5.6%
|
|
| naivasha | 1 |
0.1%
|
|
| nakuru | 2 |
0.2%
|
|
| narok | 1 |
0.1%
|
|
| njoro | 1 |
0.1%
|
|
| ntheruri | 1 |
0.1%
|
|
| nyahururu | 1 |
0.1%
|
|
| nyeri | 2 |
0.2%
|
|
| othaya | 1 |
0.1%
|
|
| rongo | 1 |
0.1%
|
|
| ruiru | 2 |
0.2%
|
|
| rutune | 1 |
0.1%
|
|
| shinyalu | 3 |
0.3%
|
|
| sigona | 2 |
0.2%
|
|
| thika | 5 |
0.5%
|
|
| ufanisi | 1 |
0.1%
|
|
| webuye | 1 |
0.1%
|
|
| western | 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
Q5.8 to 5.14 ask various questions about each former household person who is currently living outside of the household: where they live, their marital and living status, and their level of completed schooling or education. It is important that these questions are asked about each and every person currently living outside of the household. Again remember to indicate the country they live currently. The choices given are the major destinations of migrants. If it is another country indicate.