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    Home / Central Data Catalog / DIME / KEN_2013-2014_MFNIE_V01_M / variable [F7]
dime

Estimating the Impacts of Microfranchising on Young Women in Nairobi 2013-2015, Baseline, Midline and Endline Surveys

Kenya, 2013 - 2015
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Reference ID
KEN_2013-2014_MFNIE_v01_M
DOI
https://doi.org/10.48529/mccx-9c96
Producer(s)
Pamela Jakiela, Owen Ozier
Collection(s)
Development Impact Evaluation (DIME) Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Dec 14, 2018
Last modified
Apr 22, 2019
Page views
86126
Downloads
2279
  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • gem_baseline_nopii_nov2018release
  • gem_midline_nopii_nov2018release
  • gem_endline_nopii_nov2018release

3. Work Type (e_q608a)

Data file: gem_endline_nopii_nov2018release

Overview

Valid: 2
Invalid: 1190
Minimum: 26
Maximum: 26
Type: Discrete
Decimal: 0
Start: 3576
End: 3577
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 0
0%
3 G03: GEM: D-Light 0
0%
4 G05: GEM: Other 0
0%
5 H11: House help/ house girl / housemaid / domestic work / washing clothes 0
0%
6 H12: Babysitting / working at a daycare 0
0%
7 H13: Sewing / tailoring / weaving 0
0%
8 H14: Janitorial / cleaning businesses, offices, churches, etc. 0
0%
9 H15: Other work in household services and cleaning 0
0%
10 R21: Work in a cybercafé or photocopy shop 0
0%
11 R22: Hair dressing / saloon work / braiding hair 0
0%
12 R23: Working as a waitress in a hotel or restaurant 0
0%
13 R24: Bar tending 0
0%
14 R25: Selling prepared food 0
0%
15 R26: Catering work / washing dishes for hotel, restaurant or business 0
0%
16 R27: Cooking for hotel, restaurant or business 0
0%
17 R28: Working as a retail cashier / selling in a shop or kiosk 0
0%
18 R29: Fruit/Vegetable Stand/Mama Mboga (not cooking/ not duka) 0
0%
19 R30: Other work in retail/food/service 0
0%
20 N31: Government youth work / kazi kwa vijana 0
0%
21 N32: Marketing / promotions / roadshows 0
0%
22 N33: Hawking 0
0%
23 N34: Garbage collector 0
0%
24 N35: Casual worker in industrial work (for example, packing) 0
0%
25 N36: Sex work 0
0%
26 N37: Other work not elsewhere categorized 2
100%
27 P44: Teacher 0
0%
28 P45: Clerical and secretarial work 0
0%
29 P46: Salaried professional (manager, accountant, legal clerk) 0
0%
30 P47: NGO field worker 0
0%
31 P48: Nurse/health technician 0
0%
32 P49: Doctor 0
0%
33 P50: Police/military officer 0
0%
34 P51: Other government job 0
0%
35 P52: Computer/ electronics technician or repair 0
0%
36 P53: Other professional 0
0%
Sysmiss 1190
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.
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