Estimating the Impacts of Microfranchising on Young Women in Nairobi 2013-2015, Baseline, Midline and Endline Surveys
Kenya, 2013 - 2015
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Dec 05, 2019
Last modified
Dec 05, 2019
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1. Work Type (e_q606a)
Data file: gem_endline_nopii_nov2018release
Overview
Valid:
475
Invalid:
717
Minimum:
2
Maximum:
36
Type:
Discrete
Decimal:
0
Start:
3348
End:
3349
Width:
2
Range:
1 - 36
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | G01: GEM: Kenchic microfranchise | 0 |
0%
|
| 2 | G02: GEM: Darling microfranchise | 1 |
0.2%
|
| 3 | G03: GEM: D-Light | 0 |
0%
|
| 4 | G05: GEM: Other | 0 |
0%
|
| 5 | H11: House help/ house girl / housemaid / domestic work / washing clothes | 134 |
28.2%
|
| 6 | H12: Babysitting / working at a daycare | 1 |
0.2%
|
| 7 | H13: Sewing / tailoring / weaving | 3 |
0.6%
|
| 8 | H14: Janitorial / cleaning businesses, offices, churches, etc. | 4 |
0.8%
|
| 9 | H15: Other work in household services and cleaning | 4 |
0.8%
|
| 10 | R21: Work in a cybercafé or photocopy shop | 2 |
0.4%
|
| 11 | R22: Hair dressing / saloon work / braiding hair | 105 |
22.1%
|
| 12 | R23: Working as a waitress in a hotel or restaurant | 24 |
5.1%
|
| 13 | R24: Bar tending | 4 |
0.8%
|
| 14 | R25: Selling prepared food | 1 |
0.2%
|
| 15 | R26: Catering work / washing dishes for hotel, restaurant or business | 19 |
4%
|
| 16 | R27: Cooking for hotel, restaurant or business | 8 |
1.7%
|
| 17 | R28: Working as a retail cashier / selling in a shop or kiosk | 25 |
5.3%
|
| 18 | R29: Fruit/Vegetable Stand/Mama Mboga (not cooking/ not duka) | 5 |
1.1%
|
| 19 | R30: Other work in retail/food/service | 7 |
1.5%
|
| 20 | N31: Government youth work / kazi kwa vijana | 14 |
2.9%
|
| 21 | N32: Marketing / promotions / roadshows | 19 |
4%
|
| 22 | N33: Hawking | 3 |
0.6%
|
| 23 | N34: Garbage collector | 1 |
0.2%
|
| 24 | N35: Casual worker in industrial work (for example, packing) | 22 |
4.6%
|
| 25 | N36: Sex work | 0 |
0%
|
| 26 | N37: Other work not elsewhere categorized | 46 |
9.7%
|
| 27 | P44: Teacher | 12 |
2.5%
|
| 28 | P45: Clerical and secretarial work | 2 |
0.4%
|
| 29 | P46: Salaried professional (manager, accountant, legal clerk) | 0 |
0%
|
| 30 | P47: NGO field worker | 2 |
0.4%
|
| 31 | P48: Nurse/health technician | 0 |
0%
|
| 32 | P49: Doctor | 0 |
0%
|
| 33 | P50: Police/military officer | 0 |
0%
|
| 34 | P51: Other government job | 2 |
0.4%
|
| 35 | P52: Computer/ electronics technician or repair | 0 |
0%
|
| 36 | P53: Other professional | 5 |
1.1%
|
| Sysmiss | 717 |
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.