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    Home / Central Data Catalog / IMPACT_EVALUATION / KEN_2013-2017_GABIE_V01_M / variable [F9]
impact_evaluation

GET Ahead Business Training Program Impact Evaluation 2013 - 2017, Baseline & Follow-up Surveys

Kenya, 2013 - 2017
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Reference ID
KEN_2013-2017_GABIE_v01_M
DOI
https://doi.org/10.48529/z7z6-bp29
Producer(s)
David McKenzie
Collection(s)
Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Apr 17, 2014
Last modified
Dec 12, 2017
Page views
201037
Downloads
17270
  • Study Description
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  • r2r3publicuse2
  • r4r5publicuse

What is your county? (countyother)

Data file: r4r5publicuse

Overview

Valid: 113
Invalid: 0
Type: Discrete
Start: 5792
End: 5807
Width: 16
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
BUNGOMA 1
0.9%
CHUKA 1
0.9%
ELDORET 2
1.8%
ELGEYO MARAKWET 1
0.9%
GARISSA 2
1.8%
HOMABAY 1
0.9%
KAKAMEGA 7
6.2%
KAMBU 1
0.9%
KERICHO 1
0.9%
KIAMBU 4
3.5%
KILIFI COUNTY 1
0.9%
KIRINYAGA 2
1.8%
KIRINYAGA. 1
0.9%
KISII 14
12.4%
KISUMU 1
0.9%
KWALE 1
0.9%
MACHAKOS 2
1.8%
MACHAKOS COUNTY 2
1.8%
MAKUENI 2
1.8%
MALAVA 1
0.9%
MARSABIT 1
0.9%
MERU 3
2.7%
MOMBASA 15
13.3%
MURANG'A 1
0.9%
MURANGA 2
1.8%
NAIROBI 32
28.3%
NAIROBI EMBAKASI 1
0.9%
NAKURU 2
1.8%
NAROK 2
1.8%
NYANDARUA 1
0.9%
NYERI 3
2.7%
NYINGINE 1
0.9%
TARAKA NITHI 1
0.9%
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.

Others

Notes
"What is your county?"
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