ACCESS IT Training Program Impact Evaluation 2011-2014
Nigeria, 2011 - 2014
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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
77288
Downloads
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- Data files
- full_dataset_clean_anonymized
14. In the last 30 days, please estimate how much money you have spent in total (expenditures_f_2)
Data file: full_dataset_clean_anonymized
Overview
Valid:
1746
Invalid:
0
Type:
Discrete
Start:
13299
End:
13314
Width:
16
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 93 |
5.3%
|
|
| 10,000 - 15,000 | 4 |
0.2%
|
|
| 10,000- 15,000 | 5 |
0.3%
|
|
| 10,000- 20,000 | 1 |
0.1%
|
|
| 10,000-15,000 | 4 |
0.2%
|
|
| 10,000-20,000 | 3 |
0.2%
|
|
| 1000 | 4 |
0.2%
|
|
| 10000 | 185 |
10.6%
|
|
| 100000 | 25 |
1.4%
|
|
| 10500 | 2 |
0.1%
|
|
| 11000 | 5 |
0.3%
|
|
| 110000 | 1 |
0.1%
|
|
| 11500 | 1 |
0.1%
|
|
| 12000 | 35 |
2%
|
|
| 120000 | 5 |
0.3%
|
|
| 13000 | 10 |
0.6%
|
|
| 14000 | 5 |
0.3%
|
|
| 15,000 - 20,000 | 1 |
0.1%
|
|
| 15,000- 25,000 | 1 |
0.1%
|
|
| 15,000-20,000 | 3 |
0.2%
|
|
| 150,000-200,000 | 1 |
0.1%
|
|
| 1500 | 2 |
0.1%
|
|
| 15000 | 145 |
8.3%
|
|
| 15000 - 20000 | 1 |
0.1%
|
|
| 150000 | 4 |
0.2%
|
|
| 153000 | 1 |
0.1%
|
|
| 16,000 - 20,000 | 1 |
0.1%
|
|
| 16000 | 9 |
0.5%
|
|
| 160000 | 1 |
0.1%
|
|
| 17000 | 8 |
0.5%
|
|
| 18,000-20,000 | 1 |
0.1%
|
|
| 18000 | 19 |
1.1%
|
|
| 18000 - 20,000 | 1 |
0.1%
|
|
| 19000 | 3 |
0.2%
|
|
| 19800 | 1 |
0.1%
|
|
| 20,000 - 25,000 | 3 |
0.2%
|
|
| 20,000- 25,000 | 3 |
0.2%
|
|
| 20,000- 30,000 | 1 |
0.1%
|
|
| 20,000-25,000 | 3 |
0.2%
|
|
| 20,000-30,000 | 1 |
0.1%
|
|
| 20,000-40,000 | 1 |
0.1%
|
|
| 2000 | 13 |
0.7%
|
|
| 20000 | 194 |
11.1%
|
|
| 200000 | 1 |
0.1%
|
|
| 21000 | 4 |
0.2%
|
|
| 22,000- 25,000 | 1 |
0.1%
|
|
| 22000 | 6 |
0.3%
|
|
| 23000 | 1 |
0.1%
|
|
| 24000 | 5 |
0.3%
|
|
| 25,000 - 30,000 | 1 |
0.1%
|
|
| 25,000- 30,000 | 1 |
0.1%
|
|
| 25,000-30,000 | 2 |
0.1%
|
|
| 2500 | 1 |
0.1%
|
|
| 25000 | 84 |
4.8%
|
|
| 250000 | 4 |
0.2%
|
|
| 2600 | 1 |
0.1%
|
|
| 27000 | 9 |
0.5%
|
|
| 28000 | 4 |
0.2%
|
|
| 28500 | 1 |
0.1%
|
|
| 29000 | 1 |
0.1%
|
|
| 3,000-4,000 | 1 |
0.1%
|
|
| 30,000 - 40,000 | 1 |
0.1%
|
|
| 30,000- 40,000 | 1 |
0.1%
|
|
| 30,000-35,000 | 1 |
0.1%
|
|
| 30,000-40,000 | 1 |
0.1%
|
|
| 30,000-50,000 | 1 |
0.1%
|
|
| 3000 | 11 |
0.6%
|
|
| 30000 | 203 |
11.6%
|
|
| 300000 | 1 |
0.1%
|
|
| 31000 | 1 |
0.1%
|
|
| 32000 | 6 |
0.3%
|
|
| 33000 | 1 |
0.1%
|
|
| 35,000 - 40000 | 1 |
0.1%
|
|
| 35,000-40,000 | 1 |
0.1%
|
|
| 35000 | 41 |
2.3%
|
|
| 37000 | 1 |
0.1%
|
|
| 40,000 - 50,000 | 1 |
0.1%
|
|
| 40,000-50,000 | 1 |
0.1%
|
|
| 40,000-60,000 | 1 |
0.1%
|
|
| 4000 | 15 |
0.9%
|
|
| 40000 | 88 |
5%
|
|
| 40000 - 80000 | 1 |
0.1%
|
|
| 42000 | 4 |
0.2%
|
|
| 43000 | 1 |
0.1%
|
|
| 45,000- 50,000 | 1 |
0.1%
|
|
| 45,000-50,000 | 1 |
0.1%
|
|
| 4500 | 3 |
0.2%
|
|
| 45000 | 24 |
1.4%
|
|
| 450000 | 1 |
0.1%
|
|
| 48,000- 52,000 | 1 |
0.1%
|
|
| 5,000- 6,000 | 1 |
0.1%
|
|
| 5,000-7,000 | 1 |
0.1%
|
|
| 50,000- 100,000 | 1 |
0.1%
|
|
| 50,000- 70,000 | 1 |
0.1%
|
|
| 50,000-70,000 | 1 |
0.1%
|
|
| 500 | 2 |
0.1%
|
|
| 5000 | 74 |
4.2%
|
|
| 50000 | 108 |
6.2%
|
|
| 500000 | 1 |
0.1%
|
|
| 52000 | 1 |
0.1%
|
|
| 54000 | 1 |
0.1%
|
|
| 55000 | 9 |
0.5%
|
|
| 6,000- 7,000 | 1 |
0.1%
|
|
| 6,000-7,000 | 1 |
0.1%
|
|
| 6000 | 18 |
1%
|
|
| 60000 | 51 |
2.9%
|
|
| 62000 | 1 |
0.1%
|
|
| 63750 | 1 |
0.1%
|
|
| 64000 | 1 |
0.1%
|
|
| 65000 | 4 |
0.2%
|
|
| 66000 | 1 |
0.1%
|
|
| 7,000 - 10,000 | 1 |
0.1%
|
|
| 7,000-10,000 | 2 |
0.1%
|
|
| 70,000-80,000 | 1 |
0.1%
|
|
| 7000 | 21 |
1.2%
|
|
| 70000 | 17 |
1%
|
|
| 7500 | 1 |
0.1%
|
|
| 75000 | 2 |
0.1%
|
|
| 7800 | 2 |
0.1%
|
|
| 8,000- 10,000 | 1 |
0.1%
|
|
| 8,000-9,000 | 1 |
0.1%
|
|
| 80,000- 10,000 | 1 |
0.1%
|
|
| 80,000- 100,000 | 1 |
0.1%
|
|
| 8000 | 29 |
1.7%
|
|
| 80000 | 12 |
0.7%
|
|
| 82000 | 1 |
0.1%
|
|
| 8500 | 1 |
0.1%
|
|
| 9000 | 14 |
0.8%
|
|
| 90000 | 4 |
0.2%
|
|
| 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.