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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
32696
Downloads
1278

I would like us to talk about all the other people who contribute towards your u (e_q451a)

Data file: gem_endline_nopii_nov2018release

Overview

Valid: 1192
Invalid: 0
Type: Discrete
Start: 2459
End: 2470
Width: 12
Range: -
Format: character

Questions and instructions

Literal question
I would like us to talk about all the other people who contribute towards your upkeep. Who contributes towards your upkeep?
Ningependa tuzungumze kuhusu watu wengine ambao huchangia ama husaidia kwa mahitaji yako. Tafadhali niambie ni nani huchangia ama husaidia kwa mahitaji yako?
Categories
Value Category Cases
1 62
5.2%
1 10 2
0.2%
1 11 2
0.2%
1 14 15
1.3%
1 2 79
6.6%
1 2 10 6
0.5%
1 2 14 1
0.1%
1 2 3 36
3%
1 2 3 10 5
0.4%
1 2 3 14 1
0.1%
1 2 3 4 4
0.3%
1 2 3 4 10 1
0.1%
1 2 3 4 7 14 1
0.1%
1 2 3 4 7 8 1
0.1%
1 2 3 7 10 1
0.1%
1 2 3 8 9 1
0.1%
1 2 4 13
1.1%
1 2 4 10 1
0.1%
1 2 4 14 2
0.2%
1 2 4 7 1
0.1%
1 2 5 1
0.1%
1 2 6 3
0.3%
1 2 7 2
0.2%
1 2 7 10 1
0.1%
1 2 9 1
0.1%
1 3 154
12.9%
1 3 11 1
0.1%
1 3 12 1
0.1%
1 3 14 13
1.1%
1 3 4 49
4.1%
1 3 4 10 2
0.2%
1 3 4 14 2
0.2%
1 3 4 5 19
1.6%
1 3 4 5 14 1
0.1%
1 3 4 5 6 1
0.1%
1 3 4 5 7 1
0.1%
1 3 4 6 3
0.3%
1 3 4 6 7 1
0.1%
1 3 4 7 4
0.3%
1 3 4 7 9 1
0.1%
1 3 4 9 1
0.1%
1 3 5 55
4.6%
1 3 5 11 1
0.1%
1 3 5 14 2
0.2%
1 3 5 6 3
0.3%
1 3 5 6 7 3
0.3%
1 3 5 7 1
0.1%
1 3 5 8 1
0.1%
1 3 6 5
0.4%
1 3 6 14 1
0.1%
1 3 6 7 3
0.3%
1 3 6 8 2
0.2%
1 3 7 11
0.9%
1 3 7 9 2
0.2%
1 3 8 8
0.7%
1 3 8 11 1
0.1%
1 3 9 2
0.2%
1 4 48
4%
1 4 10 4
0.3%
1 4 11 1
0.1%
1 4 14 4
0.3%
1 4 5 4
0.3%
1 4 5 10 1
0.1%
1 4 5 14 1
0.1%
1 4 5 6 1
0.1%
1 4 5 7 1
0.1%
1 4 6 1
0.1%
1 4 6 7 1
0.1%
1 4 7 3
0.3%
1 4 7 8 1
0.1%
1 4 8 1
0.1%
1 5 13
1.1%
1 5 10 11 1
0.1%
1 5 14 2
0.2%
1 5 6 7 2
0.2%
1 5 7 2
0.2%
1 5 9 1
0.1%
1 6 3
0.3%
1 6 7 2
0.2%
1 7 15
1.3%
1 7 8 2
0.2%
1 7 9 2
0.2%
1 8 8
0.7%
1 9 1
0.1%
1 9 14 2
0.2%
10 11 1
0.1%
11 1
0.1%
12 1
0.1%
14 5
0.4%
2 60
5%
2 10 12
1%
2 11 3
0.3%
2 14 1
0.1%
2 3 28
2.3%
2 3 10 5
0.4%
2 3 14 1
0.1%
2 3 4 6
0.5%
2 3 4 10 2
0.2%
2 3 4 8 10 1
0.1%
2 3 9 1
0.1%
2 4 10
0.8%
2 4 10 1
0.1%
2 4 14 1
0.1%
2 9 1
0.1%
2 9 10 1
0.1%
3 93
7.8%
3 11 2
0.2%
3 13 1
0.1%
3 14 12
1%
3 4 38
3.2%
3 4 10 5
0.4%
3 4 11 1
0.1%
3 4 14 2
0.2%
3 4 5 6
0.5%
3 4 5 6 1
0.1%
3 4 5 6 7 1
0.1%
3 4 5 7 2
0.2%
3 4 6 7 1
0.1%
3 4 7 1
0.1%
3 4 7 8 1
0.1%
3 4 7 9 2
0.2%
3 4 8 2
0.2%
3 5 21
1.8%
3 5 14 1
0.1%
3 5 6 2
0.2%
3 5 7 2
0.2%
3 5 8 1
0.1%
3 6 3
0.3%
3 6 14 1
0.1%
3 6 7 4
0.3%
3 6 7 8 2
0.2%
3 6 7 9 1
0.1%
3 6 8 2
0.2%
3 6 9 2
0.2%
3 7 13
1.1%
3 7 8 1
0.1%
3 8 4
0.3%
3 9 6
0.5%
4 16
1.3%
4 10 7
0.6%
4 11 3
0.3%
4 14 1
0.1%
4 5 7
0.6%
4 5 6 7 8 1
0.1%
4 6 3
0.3%
4 6 7 4
0.3%
4 7 3
0.3%
4 7 8 1
0.1%
4 8 10 1
0.1%
4 9 1
0.1%
5 4
0.3%
5 10 1
0.1%
5 6 2
0.2%
5 6 9 1
0.1%
5 7 1
0.1%
5 7 9 1
0.1%
6 14 1
0.1%
6 7 7
0.6%
6 7 8 1
0.1%
6 7 9 1
0.1%
6 8 1
0.1%
7 8
0.7%
7 11 2
0.2%
7 14 1
0.1%
7 9 10 1
0.1%
8 1
0.1%
8 10 1
0.1%
9 3
0.3%
9 14 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.
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