GET Ahead Business Training Program Impact Evaluation 2013 - 2017, Baseline & Follow-up Surveys
Kenya, 2013 - 2017
Get Microdata
Reference ID
KEN_2013-2017_GABIE_v01_M
Producer(s)
David McKenzie
Collection(s)
Metadata
Created on
Apr 17, 2014
Last modified
Dec 12, 2017
Page views
187958
Downloads
17014
Baseline market (mkt)
Data file: r2r3publicuse2
Overview
Valid:
103
Invalid:
7011
Minimum:
2
Maximum:
20
Type:
Discrete
Decimal:
0
Start:
6703
End:
6705
Width:
3
Range:
1 - 157
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Bukura | 0 |
0%
|
| 2 | Butali | 21 |
20.4%
|
| 3 | Butere | 0 |
0%
|
| 4 | Ekero | 0 |
0%
|
| 5 | Eregi | 0 |
0%
|
| 6 | Buhuru | 0 |
0%
|
| 7 | Harambee | 1 |
1%
|
| 8 | Kaburengu | 16 |
15.5%
|
| 9 | Kambi ya Mwanza | 19 |
18.4%
|
| 10 | Kambiri | 16 |
15.5%
|
| 11 | Khayega | 0 |
0%
|
| 12 | Khumusalaba | 0 |
0%
|
| 13 | Khwisero | 0 |
0%
|
| 14 | Koyonzo | 0 |
0%
|
| 15 | Makunga | 0 |
0%
|
| 16 | Malaha | 0 |
0%
|
| 17 | Malava | 17 |
16.5%
|
| 18 | Malinya | 0 |
0%
|
| 19 | Manyulia | 0 |
0%
|
| 20 | Matete | 13 |
12.6%
|
| 21 | Matungu | 0 |
0%
|
| 22 | Musanda | 0 |
0%
|
| 23 | Musoli | 0 |
0%
|
| 24 | Nambacha | 0 |
0%
|
| 25 | Navakholo | 0 |
0%
|
| 26 | Sabatia | 0 |
0%
|
| 27 | Samitsi(includes Lutaso) | 0 |
0%
|
| 28 | Shianda | 0 |
0%
|
| 29 | Shiatsala | 0 |
0%
|
| 30 | Shibale | 0 |
0%
|
| 31 | Shinyalu | 0 |
0%
|
| 32 | Birongo | 0 |
0%
|
| 33 | Bobaracho | 0 |
0%
|
| 34 | Daraja-mbili | 0 |
0%
|
| 35 | Ekona | 0 |
0%
|
| 36 | Emenwa | 0 |
0%
|
| 37 | Etago | 0 |
0%
|
| 38 | Gesusu | 0 |
0%
|
| 39 | Ikoba | 0 |
0%
|
| 40 | Itumbe | 0 |
0%
|
| 41 | Kegogi | 0 |
0%
|
| 42 | Kenyenya | 0 |
0%
|
| 43 | Keumbu | 0 |
0%
|
| 44 | Kiamokama | 0 |
0%
|
| 45 | Magena | 0 |
0%
|
| 46 | Marani | 0 |
0%
|
| 47 | Masimba | 0 |
0%
|
| 48 | Mogonga | 0 |
0%
|
| 49 | Mogumo | 0 |
0%
|
| 50 | Mosocho | 0 |
0%
|
| 51 | Mwembe | 0 |
0%
|
| 52 | Nyabigege | 0 |
0%
|
| 53 | Nyacheki | 0 |
0%
|
| 54 | Nyakoe | 0 |
0%
|
| 55 | Nyamache | 0 |
0%
|
| 56 | Nyangusu | 0 |
0%
|
| 57 | Ogembo | 0 |
0%
|
| 58 | Ramasha | 0 |
0%
|
| 59 | Riosiri | 0 |
0%
|
| 60 | Ruga | 0 |
0%
|
| 61 | Sengera | 0 |
0%
|
| 62 | Suneka | 0 |
0%
|
| 63 | Tabaka | 0 |
0%
|
| 64 | Igare | 0 |
0%
|
| 65 | Etono | 0 |
0%
|
| 66 | Ena | 0 |
0%
|
| 67 | Gathangeri | 0 |
0%
|
| 68 | Gikuuri | 0 |
0%
|
| 69 | Ishiara | 0 |
0%
|
| 70 | Kanyariri | 0 |
0%
|
| 71 | Kanyuambora | 0 |
0%
|
| 72 | Karingari(Nembure) | 0 |
0%
|
| 73 | Karurumo | 0 |
0%
|
| 74 | Kathangariri | 0 |
0%
|
| 75 | Kathanjure | 0 |
0%
|
| 76 | Kevote | 0 |
0%
|
| 77 | Kiambere-Ngiri | 0 |
0%
|
| 78 | Kiamuringa | 0 |
0%
|
| 79 | Kianjokoma | 0 |
0%
|
| 80 | Kibugu | 0 |
0%
|
| 81 | Kigumo | 0 |
0%
|
| 82 | Kimangaru | 0 |
0%
|
| 83 | Kiriari | 0 |
0%
|
| 84 | Kiritiri | 0 |
0%
|
| 85 | Kithimu | 0 |
0%
|
| 86 | Kivwe | 0 |
0%
|
| 87 | Makengi | 0 |
0%
|
| 88 | Manyatta | 0 |
0%
|
| 89 | Mbuvori | 0 |
0%
|
| 90 | Meka | 0 |
0%
|
| 91 | Muchonoke | 0 |
0%
|
| 92 | Muraru | 0 |
0%
|
| 93 | Murindi | 0 |
0%
|
| 94 | Mutunduri | 0 |
0%
|
| 95 | Mutuobare | 0 |
0%
|
| 96 | Ngandure | 0 |
0%
|
| 97 | Runyenjes | 0 |
0%
|
| 98 | Rwika | 0 |
0%
|
| 99 | Siakago | 0 |
0%
|
| 100 | Soko Mjinga | 0 |
0%
|
| 101 | Ugweri | 0 |
0%
|
| 102 | Endau | 0 |
0%
|
| 103 | Ikanga | 0 |
0%
|
| 104 | Inyuu | 0 |
0%
|
| 105 | Ithiiani | 0 |
0%
|
| 106 | Itoleka | 0 |
0%
|
| 107 | Kabati | 0 |
0%
|
| 108 | Kakeani | 0 |
0%
|
| 109 | Kaliku | 0 |
0%
|
| 110 | Katwala | 0 |
0%
|
| 111 | Kasyala | 0 |
0%
|
| 112 | Katulani | 0 |
0%
|
| 113 | Kathungi | 0 |
0%
|
| 114 | Kavisuni | 0 |
0%
|
| 115 | Kalulini | 0 |
0%
|
| 116 | Kisasi | 0 |
0%
|
| 117 | Kiusyani | 0 |
0%
|
| 118 | Kwa Kinyai | 0 |
0%
|
| 119 | Kwa-Ngindu | 0 |
0%
|
| 120 | Kwa-Vonza | 0 |
0%
|
| 121 | Kyamatu | 0 |
0%
|
| 122 | Kyatune | 0 |
0%
|
| 123 | Matulani | 0 |
0%
|
| 124 | Matinyani | 0 |
0%
|
| 125 | Mbitini | 0 |
0%
|
| 126 | Mbondoni | 0 |
0%
|
| 127 | Miambani | 0 |
0%
|
| 128 | Migwani | 0 |
0%
|
| 129 | Mui | 0 |
0%
|
| 130 | Mulutu | 0 |
0%
|
| 131 | Musengo | 0 |
0%
|
| 132 | Museve | 0 |
0%
|
| 133 | Mutha | 0 |
0%
|
| 134 | Mutito | 0 |
0%
|
| 135 | Mutomo | 0 |
0%
|
| 136 | Mutukya | 0 |
0%
|
| 137 | Mwingi | 0 |
0%
|
| 138 | Mwitikya | 0 |
0%
|
| 139 | Nzangathi | 0 |
0%
|
| 140 | Ngengeka | 0 |
0%
|
| 141 | Ngenuka nenda | 0 |
0%
|
| 142 | Nguutani | 0 |
0%
|
| 143 | Nthogoni | 0 |
0%
|
| 144 | Nguni | 0 |
0%
|
| 145 | Ngomeni | 0 |
0%
|
| 146 | Tulia | 0 |
0%
|
| 147 | Wikililye | 0 |
0%
|
| 148 | Zombe | 0 |
0%
|
| 149 | Mosa | 0 |
0%
|
| 150 | Ikuuni | 0 |
0%
|
| 151 | Kyuso | 0 |
0%
|
| 152 | Kamuongo | 0 |
0%
|
| 153 | Katse | 0 |
0%
|
| 154 | Waita | 0 |
0%
|
| 155 | Katutu | 0 |
0%
|
| 156 | Nuu | 0 |
0%
|
| 157 | Mbusyani | 0 |
0%
|
| Sysmiss | 7011 |
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
"Baseline market"