Stormwater Management and Climate Change Adaptation Impact Evaluation 2014-2016
Senegal, 2014 - 2016
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Reference ID
SEN_2014-2016_SMCCAIE_v01_M
Producer(s)
Carol Newan, Tara Mitchell, Marcus Holmlund
Metadata
Created on
Jul 28, 2025
Last modified
Jul 28, 2025
Page views
193
Downloads
15
Amount spent to fixed damaged goods in LY (FCFA) (inon_bien_cout_LY)
Data file: progep_hh_long_deidentified
Overview
Valid:
671
Invalid:
4129
Minimum:
-777
Maximum:
6000000
Type:
Discrete
Decimal:
0
Width:
12
Range:
-777 - 6000000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -777 | 92 |
13.7%
|
|
| 0 | No | 129 |
19.2%
|
| 1 | Yes | 0 |
0%
|
| 1000 | 2 |
0.3%
|
|
| 5000 | 2 |
0.3%
|
|
| 6000 | 2 |
0.3%
|
|
| 7500 | 2 |
0.3%
|
|
| 8000 | 2 |
0.3%
|
|
| 9500 | 1 |
0.1%
|
|
| 10000 | 15 |
2.2%
|
|
| 12000 | 2 |
0.3%
|
|
| 13000 | 2 |
0.3%
|
|
| 13500 | 1 |
0.1%
|
|
| 14000 | 1 |
0.1%
|
|
| 14500 | 1 |
0.1%
|
|
| 15000 | 14 |
2.1%
|
|
| 17000 | 2 |
0.3%
|
|
| 19500 | 1 |
0.1%
|
|
| 20000 | 26 |
3.9%
|
|
| 24000 | 1 |
0.1%
|
|
| 25000 | 23 |
3.4%
|
|
| 27500 | 1 |
0.1%
|
|
| 30000 | 23 |
3.4%
|
|
| 32000 | 1 |
0.1%
|
|
| 34000 | 1 |
0.1%
|
|
| 35000 | 4 |
0.6%
|
|
| 37000 | 1 |
0.1%
|
|
| 40000 | 9 |
1.3%
|
|
| 45000 | 5 |
0.7%
|
|
| 46000 | 1 |
0.1%
|
|
| 50000 | 33 |
4.9%
|
|
| 51000 | 1 |
0.1%
|
|
| 52000 | 1 |
0.1%
|
|
| 52500 | 1 |
0.1%
|
|
| 60000 | 12 |
1.8%
|
|
| 65000 | 4 |
0.6%
|
|
| 70000 | 5 |
0.7%
|
|
| 75000 | 13 |
1.9%
|
|
| 76000 | 1 |
0.1%
|
|
| 80000 | 7 |
1%
|
|
| 85000 | 2 |
0.3%
|
|
| 86000 | 2 |
0.3%
|
|
| 90000 | 5 |
0.7%
|
|
| 100000 | 27 |
4%
|
|
| 105000 | 1 |
0.1%
|
|
| 114000 | 1 |
0.1%
|
|
| 120000 | 3 |
0.4%
|
|
| 125000 | 2 |
0.3%
|
|
| 130000 | 4 |
0.6%
|
|
| 135000 | 1 |
0.1%
|
|
| 140000 | 1 |
0.1%
|
|
| 150000 | 22 |
3.3%
|
|
| 165000 | 1 |
0.1%
|
|
| 170000 | 2 |
0.3%
|
|
| 175000 | 2 |
0.3%
|
|
| 180000 | 3 |
0.4%
|
|
| 195000 | 1 |
0.1%
|
|
| 198000 | 1 |
0.1%
|
|
| 200000 | 32 |
4.8%
|
|
| 210000 | 1 |
0.1%
|
|
| 225000 | 3 |
0.4%
|
|
| 250000 | 13 |
1.9%
|
|
| 260000 | 1 |
0.1%
|
|
| 265000 | 1 |
0.1%
|
|
| 300000 | 10 |
1.5%
|
|
| 304000 | 1 |
0.1%
|
|
| 310000 | 1 |
0.1%
|
|
| 325000 | 1 |
0.1%
|
|
| 350000 | 4 |
0.6%
|
|
| 375000 | 1 |
0.1%
|
|
| 380000 | 1 |
0.1%
|
|
| 400000 | 5 |
0.7%
|
|
| 440000 | 1 |
0.1%
|
|
| 450000 | 4 |
0.6%
|
|
| 500000 | 15 |
2.2%
|
|
| 550000 | 2 |
0.3%
|
|
| 560000 | 1 |
0.1%
|
|
| 600000 | 4 |
0.6%
|
|
| 650000 | 1 |
0.1%
|
|
| 700000 | 3 |
0.4%
|
|
| 750000 | 1 |
0.1%
|
|
| 800000 | 8 |
1.2%
|
|
| 850000 | 2 |
0.3%
|
|
| 900000 | 1 |
0.1%
|
|
| 1000000 | 10 |
1.5%
|
|
| 1200000 | 2 |
0.3%
|
|
| 1500000 | 7 |
1%
|
|
| 2000000 | 3 |
0.4%
|
|
| 2070000 | 1 |
0.1%
|
|
| 3000000 | 2 |
0.3%
|
|
| 3250000 | 1 |
0.1%
|
|
| 6000000 | 1 |
0.1%
|
|
| Sysmiss | 4129 |
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.