WSP Global Scaling Up Rural Sanitation Access (TSSM) Impact Evaluation, Madhya Pradesh State, Baseline and Endline Surveys 2009-2011
India, 2009 - 2011
Water and Sanitation Program, Network for Engineering and Economics Research and Management
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May 11, 2015
Last modified
May 11, 2015
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Gas stove - Amount paid for [GOOD] (G05_03_9)
Data file: HHold_EL_PUF
Overview
Valid:
293
Invalid:
3040
Type:
Discrete
Decimal:
0
Width:
5
Range:
-99 - 45000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -99 | Don't know | 42 |
14.3%
|
| 0 | (totals only) Zero - no data in this column | 2 |
0.7%
|
| 80 | 1 |
0.3%
|
|
| 100 | 1 |
0.3%
|
|
| 150 | 1 |
0.3%
|
|
| 250 | 1 |
0.3%
|
|
| 300 | 2 |
0.7%
|
|
| 350 | 1 |
0.3%
|
|
| 400 | 3 |
1%
|
|
| 460 | 1 |
0.3%
|
|
| 500 | 8 |
2.7%
|
|
| 600 | 2 |
0.7%
|
|
| 700 | 2 |
0.7%
|
|
| 750 | 1 |
0.3%
|
|
| 800 | 5 |
1.7%
|
|
| 1000 | 3 |
1%
|
|
| 1100 | 1 |
0.3%
|
|
| 1200 | 3 |
1%
|
|
| 1300 | 3 |
1%
|
|
| 1500 | 6 |
2%
|
|
| 1600 | 2 |
0.7%
|
|
| 1700 | 3 |
1%
|
|
| 1800 | 4 |
1.4%
|
|
| 1850 | 2 |
0.7%
|
|
| 2000 | 11 |
3.8%
|
|
| 2100 | 1 |
0.3%
|
|
| 2200 | 12 |
4.1%
|
|
| 2400 | 2 |
0.7%
|
|
| 2500 | 14 |
4.8%
|
|
| 2600 | 1 |
0.3%
|
|
| 2700 | 1 |
0.3%
|
|
| 2800 | 2 |
0.7%
|
|
| 3000 | 28 |
9.6%
|
|
| 3200 | 1 |
0.3%
|
|
| 3400 | 1 |
0.3%
|
|
| 3500 | 15 |
5.1%
|
|
| 3600 | 2 |
0.7%
|
|
| 3800 | 2 |
0.7%
|
|
| 4000 | 28 |
9.6%
|
|
| 4200 | 3 |
1%
|
|
| 4500 | 8 |
2.7%
|
|
| 4600 | 1 |
0.3%
|
|
| 4800 | 1 |
0.3%
|
|
| 5000 | 25 |
8.5%
|
|
| 5100 | 1 |
0.3%
|
|
| 5200 | 2 |
0.7%
|
|
| 5500 | 1 |
0.3%
|
|
| 5750 | 1 |
0.3%
|
|
| 6000 | 3 |
1%
|
|
| 6400 | 1 |
0.3%
|
|
| 7000 | 1 |
0.3%
|
|
| 7300 | 1 |
0.3%
|
|
| 8000 | 3 |
1%
|
|
| 9000 | 3 |
1%
|
|
| 10000 | 4 |
1.4%
|
|
| 12000 | 1 |
0.3%
|
|
| 15000 | 1 |
0.3%
|
|
| 16000 | 2 |
0.7%
|
|
| 18000 | 3 |
1%
|
|
| 20000 | 1 |
0.3%
|
|
| 22000 | 1 |
0.3%
|
|
| 27000 | 1 |
0.3%
|
|
| 32500 | 1 |
0.3%
|
|
| 40000 | 1 |
0.3%
|
|
| 45000 | 1 |
0.3%
|
|
| Sysmiss | 3040 |
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.