ACCESS IT Training Program Impact Evaluation 2011-2014
Nigeria, 2011 - 2014
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Jan 18, 2017
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Mar 29, 2019
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- full_dataset_clean_anonymized
16. Please estimate the average monthly earnings for the average worker in the I (IT_f_2)
Data file: full_dataset_clean_anonymized
Overview
Valid:
1747
Invalid:
0
Type:
Discrete
Start:
13317
End:
13333
Width:
17
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 0 | |
| 100 | |
| 100,00 | |
| 100,000 - 120,000 | |
| 100,000 - 150,000 | |
| 100,000 - 200,000 | |
| 100,000- 150,000 | |
| 100,000-120,000 | |
| 100,000-130,000 | |
| 100,000-150,000 | |
| 100,000-200,000 | |
| 100,000-300,000 | |
| 10000 | |
| 100000 | |
| 105000 | |
| 110,000-120,000 | |
| 11000 | |
| 110000 | |
| 120,000 - 150,000 | |
| 120,000 -150,000 | |
| 120,000- 150,000 | |
| 120,000- 180,000 | |
| 120,000-150,000 | |
| 12000 | |
| 120000 | |
| 125000 | |
| 130,000-140,000 | |
| 130000 | |
| 140,000-200,000 | |
| 140000 | |
| 150 | |
| 150, 000 | |
| 150,00 | |
| 150,000 - 200,000 | |
| 150,000- 160,000 | |
| 150,000- 200,000 | |
| 150,000-180,000 | |
| 150,000-200,000 | |
| 150,000-500,000 | |
| 15000 | |
| 150000 | |
| 170000 | |
| 180,000 - 200,000 | |
| 180,000- 220,000 | |
| 180,000- 250,000 | |
| 180,000-200,000 | |
| 18000 | |
| 180000 | |
| 20,000- 25,000 | |
| 200,000-300,000 | |
| 20000 | |
| 200000 | |
| 22000 | |
| 220000 | |
| 250,000-400,000 | |
| 25000 | |
| 250000 | |
| 270000 | |
| 28000 | |
| 30,000 - 70,000 | |
| 30,000- 40,000 | |
| 30,000-35,000 | |
| 30,000-40,000 | |
| 30,000-50,000 | |
| 30000 | |
| 300000 | |
| 302000 | |
| 35000 | |
| 350000 | |
| 40,000 - 50,000 | |
| 40,000- 50,000 | |
| 40,000- 60,000 | |
| 40.000-60,000 | |
| 40000 | |
| 400000 | |
| 45,000 - 50,000 | |
| 45,000- 50,000 | |
| 45,000- 60,000 | |
| 45000 | |
| 50,000 - 100,000 | |
| 50,000 - 60,000 | |
| 50,000 - 70,000 | |
| 50,000- 70,000 | |
| 50,000-100,000 | |
| 50,000-70,000 | |
| 500, 000 | |
| 500,000-800,000 | |
| 5000 | |
| 50000 | |
| 500000 | |
| 52000 | |
| 54000 | |
| 55,000-70,000 | |
| 60 | |
| 60,000 - 70,000 | |
| 60,000 -70,000 | |
| 60,000 to 70,000 | |
| 60,000- 70,000 | |
| 60,000-100,000 | |
| 60,000-70,000 | |
| 6000 | |
| 60000 | |
| 60000 - 70000 | |
| 65,000-75,000 | |
| 65000 | |
| 70,00 | |
| 70,00 - 80,000 | |
| 70,000 - 80,000 | |
| 70,000- 100,000 | |
| 70,000- 80,000 | |
| 70,000-100,000 | |
| 70,000-120,000 | |
| 70,000-80,000 | |
| 70000 | |
| 700000 | |
| 75,000-100,000 | |
| 75,000-80,000 | |
| 75000 | |
| 80,000 - 100,000 | |
| 80,000 - 120,000 | |
| 80,000 - 150,000 | |
| 80,000 - 90,000 | |
| 80,000- 100,000 | |
| 80,000- 120,000 | |
| 80,000- 85,000 | |
| 80,000- 90,000 | |
| 80,000-100,00 | |
| 80,000-100,000 | |
| 80,000-120,000 | |
| 80,000-150,000 | |
| 80,000-90,000 | |
| 80000 | |
| 85000 | |
| 90,000- 100,000 | |
| 90,000-100,000 | |
| 90,000-120,000 | |
| 90000 | |
| 95000 | |
| 97000 |
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.