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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
59101
Downloads
1164
  • Study Description
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  • Data files
  • 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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    Survey Feb
  • VGA Phone
    Survey Nov

Friend 2: County of current residence (nu_f_county_current2)

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 4
0.2%
1 Mombasa 95
4.2%
2 Kwale 14
0.6%
3 Kilifi 30
1.3%
4 Tana River 2
0.1%
5 Lamu 4
0.2%
6 Taita Taveta 17
0.8%
7 Garissa 6
0.3%
8 Wajir 2
0.1%
9 Mandera 1
0%
10 Marsabit 10
0.4%
11 Isiolo 7
0.3%
12 Meru 37
1.7%
13 Tharaka-Nithi 8
0.4%
14 Embu 32
1.4%
15 Kitui 16
0.7%
16 Machakos 34
1.5%
17 Makueni 13
0.6%
18 Nyandarua 8
0.4%
19 Nyeri 29
1.3%
20 Kirinyaga 22
1%
21 Murang'a 19
0.8%
22 Kiambu 147
6.6%
23 Turkana 6
0.3%
24 West Pokot 6
0.3%
25 Samburu 6
0.3%
26 Trans Nzoia 29
1.3%
27 Uasin Gishu 116
5.2%
28 Elgeyo Marakwet 9
0.4%
29 Nandi 19
0.8%
30 Baringo 15
0.7%
31 Laikipia 9
0.4%
32 Nakuru 127
5.7%
33 Narok 16
0.7%
34 Kajiado 50
2.2%
35 Kericho 33
1.5%
36 Bomet 19
0.8%
37 Kakamega 48
2.1%
38 Vihiga 15
0.7%
39 Bungoma 33
1.5%
40 Busia 30
1.3%
41 Siaya 19
0.8%
42 Kisumu 61
2.7%
43 Homa Bay 20
0.9%
44 Migori 27
1.2%
45 Kisii 38
1.7%
46 Nyamira 13
0.6%
47 Nairobi 707
31.5%
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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