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    Home / Central Data Catalog / SIEF / KEN_2019_GU-VGA_V01_M / variable [F7]
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
59624
Downloads
1174
  • Study Description
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  • Adults
  • C4 County
    Preference
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    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

Friend 3: County of current residence (nu_f_county_current3)

Data file: VGA Follow up

Overview

Valid: 2028
Invalid: 214
Minimum: -998
Maximum: 47
Type: Discrete
Decimal: 0
Width: 15
Range: -998 - 47
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-998 Other 10
0.4%
1 Mombasa 84
3.7%
2 Kwale 17
0.8%
3 Kilifi 39
1.7%
4 Tana River 2
0.1%
5 Lamu 4
0.2%
6 Taita Taveta 16
0.7%
7 Garissa 9
0.4%
8 Wajir 2
0.1%
9 Mandera 3
0.1%
10 Marsabit 13
0.6%
11 Isiolo 2
0.1%
12 Meru 39
1.7%
13 Tharaka-Nithi 8
0.4%
14 Embu 21
0.9%
15 Kitui 18
0.8%
16 Machakos 47
2.1%
17 Makueni 15
0.7%
18 Nyandarua 6
0.3%
19 Nyeri 38
1.7%
20 Kirinyaga 18
0.8%
21 Murang'a 6
0.3%
22 Kiambu 140
6.2%
23 Turkana 4
0.2%
24 West Pokot 7
0.3%
25 Samburu 11
0.5%
26 Trans Nzoia 30
1.3%
27 Uasin Gishu 116
5.2%
28 Elgeyo Marakwet 14
0.6%
29 Nandi 14
0.6%
30 Baringo 15
0.7%
31 Laikipia 16
0.7%
32 Nakuru 145
6.5%
33 Narok 14
0.6%
34 Kajiado 53
2.4%
35 Kericho 38
1.7%
36 Bomet 26
1.2%
37 Kakamega 46
2.1%
38 Vihiga 6
0.3%
39 Bungoma 44
2%
40 Busia 24
1.1%
41 Siaya 12
0.5%
42 Kisumu 71
3.2%
43 Homa Bay 9
0.4%
44 Migori 37
1.7%
45 Kisii 44
2%
46 Nyamira 9
0.4%
47 Nairobi 666
29.7%
Sysmiss 214
9.5%
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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