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    Home / Central Data Catalog / SIEF / KEN_2019_GU-VGA_V01_M / variable [F5]
sief

Building State Capacity and National Unity with Market Design 2019
The Problem of Assignment in Kenya’s G-United Program

Kenya, 2019 - 2020
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Reference ID
KEN_2019_GU-VGA_v01_M
DOI
https://doi.org/10.48529/bbqp-6366
Producer(s)
Michael Kremer
Collection(s)
The Strategic Impact Evaluation Fund (SIEF)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Nov 22, 2022
Last modified
Nov 22, 2022
Page views
44222
Downloads
939
  • Study Description
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  • Data files
  • Adults
  • C4 County
    Preference
  • C5 Applicants
    Data
  • C5 County
    Preference
  • Pupil Level
    data
  • Student
    Baseline data
  • VGA Follow up
  • VGA Phone
    Survey Aug
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  • VGA Phone
    Survey Nov

Locate on the map where most [ethnic group 1] people live (map_ethnic_live1)

Data file: Pupil Level data

Overview

Valid: 3512
Invalid: 2610
Minimum: -999
Maximum: 47
Type: Discrete
Decimal: 0
Width: 46
Range: -999 - 47
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-999 Don't know 89
1.5%
0 Question added in later versions of the survey 641
10.5%
1 Baringo 128
2.1%
2 Bomet 80
1.3%
3 Bungoma 150
2.5%
4 Busia 102
1.7%
5 Elgeyo-Marakwet 117
1.9%
6 Embu 80
1.3%
7 Garissa 101
1.6%
8 Homa Bay 121
2%
9 Isiolo 91
1.5%
10 Kajiado 95
1.6%
11 Kakamega 93
1.5%
12 Kericho 86
1.4%
13 Kiambu 94
1.5%
14 Kilifi 62
1%
15 Kirinyaga 71
1.2%
16 Kisii 50
0.8%
17 Kisumu 78
1.3%
18 Kitui 66
1.1%
19 Kwale 50
0.8%
20 Laikipia 63
1%
21 Lamu 40
0.7%
22 Machakos 55
0.9%
23 Makueni 35
0.6%
24 Mandera 35
0.6%
25 Marsabit 74
1.2%
26 Meru 37
0.6%
27 Migori 48
0.8%
28 Mombasa 34
0.6%
29 Murang'a 22
0.4%
30 Nairobi 34
0.6%
31 Nakuru 39
0.6%
32 Nandi 22
0.4%
33 Narok 52
0.8%
34 Nyamira 22
0.4%
35 Nyandarua 37
0.6%
36 Nyeri 35
0.6%
37 Samburu 46
0.8%
38 Siaya 43
0.7%
39 Taita-Taveta 21
0.3%
40 Tana River 32
0.5%
41 Tharaka-Nithi 30
0.5%
42 Trans-Nzoia 26
0.4%
43 Turkana 45
0.7%
44 Uasin Gishu 38
0.6%
45 Vihiga 34
0.6%
46 Wajir 26
0.4%
47 West Pokot 42
0.7%
Sysmiss 2610
42.6%
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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