Estimating the Impacts of Microfranchising on Young Women in Nairobi 2013-2015, Baseline, Midline and Endline Surveys
Kenya, 2013 - 2015
Get MicrodataCreated on
Dec 05, 2019
Last modified
Dec 05, 2019
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28344
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County (e_q107c)
Data file: gem_endline_nopii_nov2018release
Overview
Valid:
1173
Invalid:
19
Minimum:
1
Maximum:
45
Type:
Discrete
Decimal:
0
Start:
58
End:
59
Width:
2
Range:
1 - 47
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Nairobi | 1026 |
87.5%
|
| 2 | Baringo | 0 |
0%
|
| 3 | Bomet | 1 |
0.1%
|
| 4 | Bungoma | 5 |
0.4%
|
| 5 | Busia | 3 |
0.3%
|
| 6 | Elgeyo-Marakwet | 0 |
0%
|
| 7 | Embu | 2 |
0.2%
|
| 8 | Garissa | 0 |
0%
|
| 9 | Homa Bay | 7 |
0.6%
|
| 10 | Isiolo | 0 |
0%
|
| 11 | Kajiado | 5 |
0.4%
|
| 12 | Kakamega | 6 |
0.5%
|
| 13 | Kericho | 0 |
0%
|
| 14 | Kiambu | 22 |
1.9%
|
| 15 | Kilifi | 2 |
0.2%
|
| 16 | Kirinyaga | 2 |
0.2%
|
| 17 | Kisii | 8 |
0.7%
|
| 18 | Kisumu | 17 |
1.4%
|
| 19 | Kitui | 10 |
0.9%
|
| 20 | Kwale | 1 |
0.1%
|
| 21 | Laikipia | 2 |
0.2%
|
| 22 | Lamu | 0 |
0%
|
| 23 | Machakos | 8 |
0.7%
|
| 24 | Makueni | 0 |
0%
|
| 25 | Mandera | 0 |
0%
|
| 26 | Marsabit | 1 |
0.1%
|
| 27 | Meru | 0 |
0%
|
| 28 | Migori | 0 |
0%
|
| 29 | Mombasa | 10 |
0.9%
|
| 30 | Murang'a | 5 |
0.4%
|
| 31 | Nakuru | 4 |
0.3%
|
| 32 | Nandi | 1 |
0.1%
|
| 33 | Narok | 1 |
0.1%
|
| 34 | Nyamira | 0 |
0%
|
| 35 | Nyandarua | 1 |
0.1%
|
| 36 | Nyeri | 3 |
0.3%
|
| 37 | Samburu | 0 |
0%
|
| 38 | Siaya | 11 |
0.9%
|
| 39 | Taita-Taveta | 2 |
0.2%
|
| 40 | Tana River | 0 |
0%
|
| 41 | Tharaka-Nithi | 1 |
0.1%
|
| 42 | Trans Nzoia | 0 |
0%
|
| 43 | Turkana | 0 |
0%
|
| 44 | Uasin Gishu | 3 |
0.3%
|
| 45 | Vihiga | 3 |
0.3%
|
| 46 | Wajir | 0 |
0%
|
| 47 | West Pokot | 0 |
0%
|
| Sysmiss | 19 |
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.