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    Home / Central Data Catalog / DIME / NGA_2011-2016_YOUWINIE_V02_M / variable [F3]
dime

Youth Enterprise With Innovation in Nigeria (YouWiN!) Program Impact Evaluation 2011-2016

Nigeria, 2011 - 2016
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Reference ID
NGA_2011-2016_YouWiNIE_v02_M
DOI
https://doi.org/10.48529/d654-wz13
Producer(s)
David McKenzie
Collection(s)
Development Impact Evaluation (DIME) Impact Evaluation Surveys Fragility, Conflict and Violence
Metadata
Documentation in PDF DDI/XML JSON
Created on
Aug 19, 2015
Last modified
Jul 26, 2019
Page views
969586
Downloads
60267
  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • BaselineandFirstFollowup
  • SecondFollowup
  • ThirdFollowup
  • validurlr4
  • nigeriayouwinr4public
  • ExtraVarsNeeded
  • pvaluesdata
  • regionuid
  • WebsiteValidatedOct42015
  • VariablesRestrictedData

py2c.if you had won youwin, and were running a business today, how much do you t (t_py2c)

Data file: ThirdFollowup

Overview

Valid: 1301
Invalid: 1838
Type: Discrete
Decimal: 0
Start: 1578
End: 1586
Width: 9
Range: 0 - 300000000
Format: Numeric

Questions and instructions

Literal question
Imagine you had won the YouWin! Competition in the first round. I would like you to tell me what you think you would be doing right now in terms of running a business or working.
c) If you had won YouWin, and were running a business today, how much do you think your sales would have been for the last month?
Categories
Value Category Cases
0 2
0.2%
1 4
0.3%
5 1
0.1%
998 don't know 8
0.6%
9998 2
0.2%
10000 3
0.2%
15000 1
0.1%
20000 4
0.3%
30000 6
0.5%
35000 3
0.2%
40000 1
0.1%
50000 20
1.5%
55000 2
0.2%
60000 5
0.4%
70000 5
0.4%
75000 1
0.1%
80000 7
0.5%
100000 46
3.5%
108000 1
0.1%
120000 5
0.4%
140000 1
0.1%
150000 31
2.4%
160000 1
0.1%
180000 5
0.4%
190000 1
0.1%
195000 1
0.1%
200000 81
6.2%
200008 1
0.1%
220000 1
0.1%
230000 1
0.1%
240000 3
0.2%
250000 42
3.2%
260000 1
0.1%
280000 2
0.2%
300000 65
5%
350000 17
1.3%
375000 1
0.1%
380000 2
0.2%
400000 47
3.6%
416000 1
0.1%
450000 17
1.3%
480000 1
0.1%
500000 191
14.7%
550000 2
0.2%
600000 42
3.2%
650000 4
0.3%
700000 29
2.2%
720000 2
0.2%
750000 7
0.5%
800000 34
2.6%
830000 1
0.1%
850000 4
0.3%
900000 5
0.4%
950000 1
0.1%
965000 1
0.1%
1000000 112
8.6%
1050000 1
0.1%
1200000 22
1.7%
1250000 4
0.3%
1300000 2
0.2%
1320800 1
0.1%
1450000 1
0.1%
1500000 44
3.4%
1600000 4
0.3%
1700000 1
0.1%
1800000 6
0.5%
1840000 1
0.1%
2000000 77
5.9%
2020000 1
0.1%
2250000 1
0.1%
2300000 1
0.1%
2400000 3
0.2%
2500000 17
1.3%
2550000 1
0.1%
2700000 2
0.2%
2800000 3
0.2%
3000000 33
2.5%
3120000 1
0.1%
3200000 1
0.1%
3300000 1
0.1%
3333000 1
0.1%
3500000 10
0.8%
3600000 1
0.1%
3700000 1
0.1%
3900000 1
0.1%
4000000 14
1.1%
4500000 6
0.5%
4800000 1
0.1%
5000000 46
3.5%
5600000 1
0.1%
5950000 1
0.1%
6000000 8
0.6%
6200000 1
0.1%
6500000 2
0.2%
7000000 5
0.4%
7650000 1
0.1%
8000000 9
0.7%
10000000 26
2%
10600000 1
0.1%
12000000 4
0.3%
12400000 1
0.1%
12500000 1
0.1%
13000000 1
0.1%
14400000 1
0.1%
14500000 1
0.1%
15000000 4
0.3%
16000000 1
0.1%
20000000 11
0.8%
25000000 1
0.1%
26800000 1
0.1%
29460000 1
0.1%
30000000 5
0.4%
31500000 1
0.1%
32000000 1
0.1%
33000000 1
0.1%
35000000 1
0.1%
40000000 1
0.1%
50000000 5
0.4%
60000000 3
0.2%
90000000 1
0.1%
100000000 2
0.2%
200000000 1
0.1%
300000000 1
0.1%
Sysmiss 1838
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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