ACCESS IT Training Program Impact Evaluation 2011-2014
Nigeria, 2011 - 2014
Get Microdata
Reference ID
NGA_2011-2014_ACCESSIE_v01_M
Producer(s)
Markus Goldstein, Alaka Holla
Collection(s)
Metadata
Created on
Nov 19, 2018
Last modified
Nov 19, 2018
Page views
53194
Downloads
1428
- Data files
- full_dataset_clean_anonymized
13. In the last 30 days, please estimate any self-employment or profit earnings? (profits_f_2)
Data file: full_dataset_clean_anonymized
Overview
Valid:
1741
Invalid:
0
Type:
Discrete
Start:
13283
End:
13298
Width:
16
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 1244 |
71.5%
|
|
| 1,000-2,000 | 1 |
0.1%
|
|
| 10,000 -20,000 | 1 |
0.1%
|
|
| 10,000- 20,000 | 1 |
0.1%
|
|
| 10,000-12,000 | 1 |
0.1%
|
|
| 10,000-15,000 | 2 |
0.1%
|
|
| 100,000-200,000 | 1 |
0.1%
|
|
| 1000 | 4 |
0.2%
|
|
| 10000 | 34 |
2%
|
|
| 100000 | 19 |
1.1%
|
|
| 1000000 | 2 |
0.1%
|
|
| 11000 | 1 |
0.1%
|
|
| 11200 | 1 |
0.1%
|
|
| 12000 | 6 |
0.3%
|
|
| 120000 | 5 |
0.3%
|
|
| 121000 | 1 |
0.1%
|
|
| 124000 | 1 |
0.1%
|
|
| 130000 | 2 |
0.1%
|
|
| 135000 | 1 |
0.1%
|
|
| 14000 | 2 |
0.1%
|
|
| 150,000-180,000 | 1 |
0.1%
|
|
| 150,000-200,000 | 2 |
0.1%
|
|
| 15000 | 37 |
2.1%
|
|
| 150000 | 4 |
0.2%
|
|
| 16000 | 3 |
0.2%
|
|
| 16600 | 1 |
0.1%
|
|
| 17000 | 1 |
0.1%
|
|
| 18,000- 20,000 | 1 |
0.1%
|
|
| 19000 | 1 |
0.1%
|
|
| 19700 | 1 |
0.1%
|
|
| 19800 | 2 |
0.1%
|
|
| 20,000- 25,000 | 1 |
0.1%
|
|
| 20,000- 30,000 | 1 |
0.1%
|
|
| 20,000-25,000 | 4 |
0.2%
|
|
| 20,000-30,000 | 4 |
0.2%
|
|
| 2000 | 1 |
0.1%
|
|
| 20000 | 39 |
2.2%
|
|
| 20000 - 30000 | 1 |
0.1%
|
|
| 200000 | 10 |
0.6%
|
|
| 2250 | 1 |
0.1%
|
|
| 22500 | 1 |
0.1%
|
|
| 23000 | 1 |
0.1%
|
|
| 23500 | 1 |
0.1%
|
|
| 24000 | 1 |
0.1%
|
|
| 25,000-30,000 | 2 |
0.1%
|
|
| 25,000-40,000 | 1 |
0.1%
|
|
| 25.8 | 1 |
0.1%
|
|
| 25000 | 15 |
0.9%
|
|
| 250000 | 2 |
0.1%
|
|
| 27000 | 1 |
0.1%
|
|
| 30,000 - 35,000 | 1 |
0.1%
|
|
| 30,000 - 40,0000 | 1 |
0.1%
|
|
| 30,000 - 50,000 | 1 |
0.1%
|
|
| 30,000- 40,000 | 3 |
0.2%
|
|
| 30,000- 50,000 | 1 |
0.1%
|
|
| 30,000-40,000 | 2 |
0.1%
|
|
| 30,000-50,000 | 1 |
0.1%
|
|
| 3000 | 5 |
0.3%
|
|
| 30000 | 52 |
3%
|
|
| 300000 | 3 |
0.2%
|
|
| 32000 | 1 |
0.1%
|
|
| 33000 | 1 |
0.1%
|
|
| 35,000-50,000 | 1 |
0.1%
|
|
| 35000 | 6 |
0.3%
|
|
| 40,000-50,000 | 1 |
0.1%
|
|
| 4000 | 5 |
0.3%
|
|
| 40000 | 27 |
1.6%
|
|
| 45000 | 6 |
0.3%
|
|
| 48000 | 2 |
0.1%
|
|
| 5,000- 10,000 | 1 |
0.1%
|
|
| 5,000-7,000 | 1 |
0.1%
|
|
| 50,000- 60,000 | 1 |
0.1%
|
|
| 50,000-60,000 | 1 |
0.1%
|
|
| 5000 | 22 |
1.3%
|
|
| 50000 | 25 |
1.4%
|
|
| 500000 | 2 |
0.1%
|
|
| 54000 | 1 |
0.1%
|
|
| 55000 | 1 |
0.1%
|
|
| 55500 | 1 |
0.1%
|
|
| 60,000 - 80,000 | 1 |
0.1%
|
|
| 60,000- 70,000 | 1 |
0.1%
|
|
| 60,000-80,000 | 1 |
0.1%
|
|
| 6000 | 7 |
0.4%
|
|
| 60000 | 28 |
1.6%
|
|
| 600000 | 1 |
0.1%
|
|
| 65000 | 1 |
0.1%
|
|
| 68000 | 1 |
0.1%
|
|
| 70,000-80,000 | 1 |
0.1%
|
|
| 70,000-90,000 | 1 |
0.1%
|
|
| 7000 | 5 |
0.3%
|
|
| 70000 | 10 |
0.6%
|
|
| 72000 | 1 |
0.1%
|
|
| 7500 | 1 |
0.1%
|
|
| 75000 | 4 |
0.2%
|
|
| 750000 | 1 |
0.1%
|
|
| 80,000 - 100,000 | 1 |
0.1%
|
|
| 80,000-90,000 | 2 |
0.1%
|
|
| 8000 | 3 |
0.2%
|
|
| 80000 | 10 |
0.6%
|
|
| 85000 | 1 |
0.1%
|
|
| 9000 | 2 |
0.1%
|
|
| 90000 | 7 |
0.4%
|
|
| 900000 | 1 |
0.1%
|
|
| 9500 | 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.