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    Home / Central Data Catalog / IMPACT_EVALUATION / KEN_2013-2017_GABIE_V01_M / variable [F8]
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
179857
Downloads
16856
  • Study Description
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  • r2r3publicuse2
  • r4r5publicuse

5.11a What is the name of the product/service? (ss_sec5_11a)

Data file: r2r3publicuse2

Overview

Valid: 2927
Invalid: 4187
Minimum: -555
Maximum: 55
Type: Discrete
Decimal: 0
Start: 7483
End: 7486
Width: 4
Range: -555 - 55
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-555 other 820
28%
1 Bananas 99
3.4%
2 Barsoap 0
0%
3 Beans 73
2.5%
4 Blowdry (hair) 69
2.4%
5 Bread 13
0.4%
6 Cabbage 65
2.2%
7 Charcoal 67
2.3%
8 Cooking oil 11
0.4%
9 Fruit salad 4
0.1%
10 Greengrams 8
0.3%
11 Groundnuts 28
1%
12 Hair piece 37
1.3%
13 Irish Potatoes 59
2%
14 Kales 188
6.4%
15 Maize 213
7.3%
16 Milk 15
0.5%
17 Millet 11
0.4%
18 Mpesa 2
0.1%
19 Omena 44
1.5%
20 Onions 42
1.4%
21 Polythene bags 3
0.1%
22 Rice 24
0.8%
23 Sesame 2
0.1%
24 Soda 20
0.7%
25 Sorghum 4
0.1%
26 Soya beans 0
0%
27 Sugar 127
4.3%
28 Sweet potatoes 5
0.2%
29 Tomatoes 239
8.2%
30 Washing powder 0
0%
31 Amaranth 12
0.4%
32 Batteries 0
0%
33 Body oils 5
0.2%
34 Candles 0
0%
35 Cassava 3
0.1%
36 Chips 64
2.2%
37 Fish 35
1.2%
38 Geometrical set 0
0%
39 Goat meat 10
0.3%
40 Manicure and pedicure 0
0%
41 New clothes 94
3.2%
42 Pans 3
0.1%
43 Parafin 7
0.2%
44 Photocopy services 3
0.1%
45 Plastic basins and buckets 8
0.3%
46 Rearing chicken 3
0.1%
47 Shoes 66
2.3%
48 Suits 9
0.3%
49 Barber 3
0.1%
50 Eggs 1
0%
51 Fabric 15
0.5%
52 Molases 2
0.1%
53 Potatoes 7
0.2%
54 Second hand clothes 68
2.3%
55 Tailoring 217
7.4%
Sysmiss 4187
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
"5.11a What is the name of the product/service?"
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