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    Home / Central Data Catalog / IMPACT_EVALUATION / NGA_2011-2014_ACCESSIE_V01_M / variable [V1172]
impact_evaluation

ACCESS IT Training Program Impact Evaluation 2011-2014

Nigeria, 2011 - 2014
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Reference ID
NGA_2011-2014_ACCESSIE_v01_M
DOI
https://doi.org/10.48529/s44y-a780
Producer(s)
Markus Goldstein, Alaka Holla
Collection(s)
Impact Evaluation Surveys Fragility, Conflict and Violence
Metadata
Documentation in PDF DDI/XML JSON
Created on
Nov 19, 2018
Last modified
Nov 19, 2018
Page views
129835
Downloads
2081
  • Study Description
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  • full_dataset_clean_anonymized

12. In the last 30 days, please estimate any salary or contract earnings? (salary_f_2)

Data file: full_dataset_clean_anonymized

Overview

Valid: 1744
Invalid: 0
Type: Discrete
Start: 13267
End: 13282
Width: 16
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
0 923
52.9%
10,000- 18,000 1
0.1%
100,000-120,000 1
0.1%
10000 16
0.9%
100000 26
1.5%
102000 1
0.1%
103000 1
0.1%
105000 5
0.3%
108820 1
0.1%
109000 1
0.1%
110000 2
0.1%
114000 1
0.1%
118000 1
0.1%
12000 5
0.3%
120000 12
0.7%
12500 1
0.1%
126000 1
0.1%
130000 3
0.2%
14000 3
0.2%
14500 1
0.1%
14800 1
0.1%
148833 1
0.1%
15,000 - 40,000 1
0.1%
150, 000 1
0.1%
15000 24
1.4%
150000 12
0.7%
155000 1
0.1%
170000 2
0.1%
18,000- 20,000 1
0.1%
180,000- 250,000 1
0.1%
18000 3
0.2%
186000 1
0.1%
19000 3
0.2%
190000 1
0.1%
19500 1
0.1%
19600 3
0.2%
19695 1
0.1%
19745 1
0.1%
19800 93
5.3%
198000 1
0.1%
20,000 - 25,000 1
0.1%
2000 1
0.1%
20000 29
1.7%
200000 5
0.3%
20300 1
0.1%
20800 2
0.1%
21000 1
0.1%
21300 1
0.1%
21800 2
0.1%
22000 9
0.5%
22600 1
0.1%
22800 7
0.4%
23.6 1
0.1%
23000 14
0.8%
23500 1
0.1%
23600 4
0.2%
23700 1
0.1%
23800 6
0.3%
24000 19
1.1%
24200 1
0.1%
24500 1
0.1%
24600 2
0.1%
24800 33
1.9%
248000 1
0.1%
25,000-30,000 1
0.1%
25000 39
2.2%
250000 2
0.1%
25400 1
0.1%
25600 1
0.1%
25800 3
0.2%
26000 4
0.2%
26500 1
0.1%
26800 3
0.2%
27000 3
0.2%
27300 1
0.1%
27590 1
0.1%
27800 4
0.2%
28000 7
0.4%
280000 1
0.1%
28500 1
0.1%
29000 2
0.1%
29800 9
0.5%
30,000 - 35,000 1
0.1%
30,000- 35,000 1
0.1%
30,000- 40,000 1
0.1%
30,000- 50,000 1
0.1%
30,000-40,000 1
0.1%
3000 2
0.1%
30000 55
3.2%
31000 1
0.1%
32000 3
0.2%
32900 1
0.1%
33000 3
0.2%
34800 1
0.1%
35000 15
0.9%
35800 1
0.1%
38000 2
0.1%
4 1
0.1%
40,000 - 50,000 1
0.1%
40000 32
1.8%
42000 1
0.1%
43000 1
0.1%
44000 1
0.1%
44500 1
0.1%
44800 2
0.1%
45 1
0.1%
45000 13
0.7%
46000 1
0.1%
47000 2
0.1%
48000 1
0.1%
48500 1
0.1%
49000 1
0.1%
5000 2
0.1%
50000 49
2.8%
51000 1
0.1%
52000 1
0.1%
53000 1
0.1%
54000 1
0.1%
55000 12
0.7%
56000 3
0.2%
57000 3
0.2%
58000 1
0.1%
60,000-80,000 1
0.1%
6000 2
0.1%
60000 32
1.8%
61000 2
0.1%
63000 1
0.1%
64000 1
0.1%
65000 3
0.2%
67000 1
0.1%
68000 1
0.1%
69000 1
0.1%
70 1
0.1%
70,000-80,000 1
0.1%
7000 4
0.2%
70000 21
1.2%
75,000 - 100,000 1
0.1%
75000 7
0.4%
7500000 1
0.1%
76000 1
0.1%
76500 1
0.1%
78000 1
0.1%
80,000- 90,000 1
0.1%
80,000-100,000 1
0.1%
80000 18
1%
82000 5
0.3%
83000 2
0.1%
84000 1
0.1%
85,000-90,000 1
0.1%
85000 2
0.1%
90,000 - 100,000 1
0.1%
90,000- 100,000 1
0.1%
90,000-95,000 1
0.1%
9000 2
0.1%
90000 10
0.6%
92000 1
0.1%
93000 2
0.1%
95000 1
0.1%
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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