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    Home / Central Data Catalog / DIME / KEN_2013-2014_MFNIE_V01_M / variable [F5]
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
32886
Downloads
1278
  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • gem_baseline_nopii_nov2018release
  • gem_midline_nopii_nov2018release
  • gem_endline_nopii_nov2018release

2b. Details (m_a_s3_2b_details)

Data file: gem_midline_nopii_nov2018release

Overview

Valid: 34
Invalid: 0
Type: Discrete
Start: 107
End: 168
Width: 62
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
ALSO HAS PLASTIC CHAIRS TAKE PEOPLE TAKE FOR HIRE. 1
2.9%
BRAIDING 1
2.9%
DISTRIBUTING HERBAL MEDICINE 1
2.9%
DOES BLOWDRY, MANICURE, PEDICURE,PLAITING, BRAIDING,WEAVING 1
2.9%
HAWKING 4 IN 1 SAYONA PRODUCTSJUICER, BLENDER, MINCER, GRINDER 1
2.9%
HELPING A FRIEND SELL SECOND HAND CLOTHES 1
2.9%
I DO BRAIDS, PLAIN LINES 1
2.9%
MIRAA, 1
2.9%
PLAITING 1
2.9%
PLAITING WEAVING AND BLOWDRY 1
2.9%
PLAITS ALL STYLES 1
2.9%
PLAITS BRAIDS AND WEAVES 1
2.9%
PREPARING GITHERI AND BEANS 1
2.9%
RECYCLING BUSINESS 1
2.9%
SELLING BHAJIA 1
2.9%
SELLING CHILDRENS CLOTHES 1
2.9%
SELLING CHIPS 3
8.8%
SELLING CLOTHS 1
2.9%
SELLING HAIR OIL 1
2.9%
SELLING KIDS CLOTHING AND WOMEN CLOTHING 1
2.9%
SELLING MILK 1
2.9%
SELLING SODA 1
2.9%
SELLING TOMATOES,AVOCADO AND POTATOES 1
2.9%
SELLING VEGES 1
2.9%
SELLS COFFEE IN THE EVENING 1
2.9%
SELLS COSMETICS IN THE SAME SHOP. 1
2.9%
SELLS MANGOES IN THE PLACE WHERE SALON IS. 1
2.9%
SHE SELLS CLOTHES 1
2.9%
SUPPLIER OF RIGLEY COMPANY -SUPPLYING P.K 1
2.9%
TAILOR 1
2.9%
WASHES CLOTHES FOR PEOPLE FOR PAY. 1
2.9%
WORKS AS A SEX WORKER IN DIFFERENT PLACES 1
2.9%
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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