Stormwater Management and Climate Change Adaptation Impact Evaluation 2014, Baseline Survey
Senegal, 2014 - 2016
Get Microdata
Reference ID
SEN_2014_SMCCAIE-BL_v01_M
Producer(s)
Carol Newan, Tara Mitchell, Marcus Holmlund
Metadata
Created on
May 07, 2019
Last modified
May 08, 2019
Page views
33110
Downloads
5246
- Data files
- Baseline_INDIVLevel
- Baseline_HHLevel
- Baseline_CBOLevel
past year: FCFA spent on goods such as construction, ceremonies, furniture, taxe (cons_nonalim_lt)
Data file: Baseline_HHLevel
Overview
Valid:
2400
Invalid:
0
Minimum:
-999
Maximum:
30000000
Type:
Discrete
Decimal:
0
Start:
746
End:
753
Width:
8
Range:
-999 - 30000000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -999 | Refus de repondre | 13 |
0.5%
|
| -777 | Ne sait pas | 680 |
28.3%
|
| 0 | 174 |
7.3%
|
|
| 1200 | 1 |
0%
|
|
| 4000 | 3 |
0.1%
|
|
| 4500 | 2 |
0.1%
|
|
| 5000 | 14 |
0.6%
|
|
| 6000 | 8 |
0.3%
|
|
| 8000 | 5 |
0.2%
|
|
| 9000 | 1 |
0%
|
|
| 10000 | 9 |
0.4%
|
|
| 12000 | 5 |
0.2%
|
|
| 12500 | 1 |
0%
|
|
| 13000 | 1 |
0%
|
|
| 15000 | 5 |
0.2%
|
|
| 18000 | 1 |
0%
|
|
| 20000 | 14 |
0.6%
|
|
| 22000 | 1 |
0%
|
|
| 24000 | 1 |
0%
|
|
| 25000 | 15 |
0.6%
|
|
| 27000 | 1 |
0%
|
|
| 27500 | 1 |
0%
|
|
| 28000 | 1 |
0%
|
|
| 30000 | 24 |
1%
|
|
| 35000 | 12 |
0.5%
|
|
| 40000 | 8 |
0.3%
|
|
| 45000 | 11 |
0.5%
|
|
| 49000 | 1 |
0%
|
|
| 50000 | 64 |
2.7%
|
|
| 52000 | 1 |
0%
|
|
| 55000 | 3 |
0.1%
|
|
| 60000 | 21 |
0.9%
|
|
| 65000 | 2 |
0.1%
|
|
| 68000 | 1 |
0%
|
|
| 69000 | 1 |
0%
|
|
| 70000 | 13 |
0.5%
|
|
| 75000 | 22 |
0.9%
|
|
| 80000 | 9 |
0.4%
|
|
| 85000 | 4 |
0.2%
|
|
| 90000 | 12 |
0.5%
|
|
| 95000 | 2 |
0.1%
|
|
| 100000 | 71 |
3%
|
|
| 105000 | 1 |
0%
|
|
| 106000 | 3 |
0.1%
|
|
| 108500 | 1 |
0%
|
|
| 110000 | 2 |
0.1%
|
|
| 112000 | 1 |
0%
|
|
| 115000 | 1 |
0%
|
|
| 117000 | 1 |
0%
|
|
| 119000 | 1 |
0%
|
|
| 120000 | 15 |
0.6%
|
|
| 125000 | 6 |
0.3%
|
|
| 130000 | 1 |
0%
|
|
| 137000 | 2 |
0.1%
|
|
| 140000 | 1 |
0%
|
|
| 144000 | 1 |
0%
|
|
| 150000 | 102 |
4.3%
|
|
| 151500 | 1 |
0%
|
|
| 153000 | 1 |
0%
|
|
| 155000 | 2 |
0.1%
|
|
| 156000 | 2 |
0.1%
|
|
| 157000 | 1 |
0%
|
|
| 158000 | 1 |
0%
|
|
| 159000 | 1 |
0%
|
|
| 160000 | 5 |
0.2%
|
|
| 161000 | 1 |
0%
|
|
| 165000 | 4 |
0.2%
|
|
| 170000 | 5 |
0.2%
|
|
| 175000 | 10 |
0.4%
|
|
| 180000 | 4 |
0.2%
|
|
| 181000 | 1 |
0%
|
|
| 185000 | 2 |
0.1%
|
|
| 190000 | 3 |
0.1%
|
|
| 195000 | 1 |
0%
|
|
| 200000 | 146 |
6.1%
|
|
| 202000 | 1 |
0%
|
|
| 202500 | 1 |
0%
|
|
| 209000 | 1 |
0%
|
|
| 210000 | 2 |
0.1%
|
|
| 215000 | 2 |
0.1%
|
|
| 216000 | 1 |
0%
|
|
| 220000 | 4 |
0.2%
|
|
| 224000 | 1 |
0%
|
|
| 225000 | 10 |
0.4%
|
|
| 230000 | 5 |
0.2%
|
|
| 232000 | 1 |
0%
|
|
| 235000 | 2 |
0.1%
|
|
| 240000 | 2 |
0.1%
|
|
| 243000 | 1 |
0%
|
|
| 245000 | 3 |
0.1%
|
|
| 245700 | 1 |
0%
|
|
| 250000 | 100 |
4.2%
|
|
| 253000 | 1 |
0%
|
|
| 253200 | 1 |
0%
|
|
| 255500 | 1 |
0%
|
|
| 258000 | 1 |
0%
|
|
| 261000 | 1 |
0%
|
|
| 270000 | 2 |
0.1%
|
|
| 272000 | 1 |
0%
|
|
| 274000 | 1 |
0%
|
|
| 275000 | 14 |
0.6%
|
|
| 277000 | 1 |
0%
|
|
| 279000 | 1 |
0%
|
|
| 280000 | 2 |
0.1%
|
|
| 285000 | 1 |
0%
|
|
| 294000 | 1 |
0%
|
|
| 295000 | 1 |
0%
|
|
| 300000 | 138 |
5.8%
|
|
| 306000 | 1 |
0%
|
|
| 315000 | 2 |
0.1%
|
|
| 320000 | 3 |
0.1%
|
|
| 325000 | 10 |
0.4%
|
|
| 335000 | 1 |
0%
|
|
| 340000 | 1 |
0%
|
|
| 342000 | 1 |
0%
|
|
| 344500 | 1 |
0%
|
|
| 345000 | 2 |
0.1%
|
|
| 350000 | 87 |
3.6%
|
|
| 352000 | 2 |
0.1%
|
|
| 356000 | 2 |
0.1%
|
|
| 357000 | 1 |
0%
|
|
| 358000 | 1 |
0%
|
|
| 360000 | 3 |
0.1%
|
|
| 375000 | 4 |
0.2%
|
|
| 385000 | 1 |
0%
|
|
| 388000 | 1 |
0%
|
|
| 393500 | 1 |
0%
|
|
| 400000 | 55 |
2.3%
|
|
| 420000 | 2 |
0.1%
|
|
| 425000 | 2 |
0.1%
|
|
| 430000 | 1 |
0%
|
|
| 450000 | 9 |
0.4%
|
|
| 455000 | 1 |
0%
|
|
| 457000 | 2 |
0.1%
|
|
| 465000 | 1 |
0%
|
|
| 477000 | 1 |
0%
|
|
| 480000 | 4 |
0.2%
|
|
| 497000 | 1 |
0%
|
|
| 500000 | 81 |
3.4%
|
|
| 520000 | 3 |
0.1%
|
|
| 525000 | 1 |
0%
|
|
| 526000 | 1 |
0%
|
|
| 530000 | 1 |
0%
|
|
| 542000 | 1 |
0%
|
|
| 545000 | 1 |
0%
|
|
| 549000 | 1 |
0%
|
|
| 550000 | 3 |
0.1%
|
|
| 551000 | 1 |
0%
|
|
| 560000 | 1 |
0%
|
|
| 575000 | 2 |
0.1%
|
|
| 578000 | 2 |
0.1%
|
|
| 582000 | 1 |
0%
|
|
| 585000 | 1 |
0%
|
|
| 595000 | 1 |
0%
|
|
| 600000 | 26 |
1.1%
|
|
| 645000 | 1 |
0%
|
|
| 650000 | 9 |
0.4%
|
|
| 675000 | 1 |
0%
|
|
| 690000 | 1 |
0%
|
|
| 700000 | 18 |
0.8%
|
|
| 710000 | 1 |
0%
|
|
| 720000 | 22 |
0.9%
|
|
| 740000 | 1 |
0%
|
|
| 743000 | 1 |
0%
|
|
| 750000 | 5 |
0.2%
|
|
| 780000 | 2 |
0.1%
|
|
| 790000 | 1 |
0%
|
|
| 800000 | 12 |
0.5%
|
|
| 820000 | 1 |
0%
|
|
| 827000 | 1 |
0%
|
|
| 840000 | 5 |
0.2%
|
|
| 846000 | 1 |
0%
|
|
| 850000 | 2 |
0.1%
|
|
| 870000 | 1 |
0%
|
|
| 888000 | 1 |
0%
|
|
| 900000 | 3 |
0.1%
|
|
| 950000 | 2 |
0.1%
|
|
| 960000 | 2 |
0.1%
|
|
| 990000 | 1 |
0%
|
|
| 1000000 | 17 |
0.7%
|
|
| 1080000 | 1 |
0%
|
|
| 1100000 | 1 |
0%
|
|
| 1200000 | 16 |
0.7%
|
|
| 1300000 | 2 |
0.1%
|
|
| 1360000 | 1 |
0%
|
|
| 1365000 | 1 |
0%
|
|
| 1400000 | 2 |
0.1%
|
|
| 1500000 | 16 |
0.7%
|
|
| 1680000 | 1 |
0%
|
|
| 1700000 | 1 |
0%
|
|
| 1800000 | 2 |
0.1%
|
|
| 2000000 | 8 |
0.3%
|
|
| 2100000 | 2 |
0.1%
|
|
| 2400000 | 4 |
0.2%
|
|
| 2500000 | 4 |
0.2%
|
|
| 2800000 | 2 |
0.1%
|
|
| 3000000 | 3 |
0.1%
|
|
| 3600000 | 2 |
0.1%
|
|
| 5000000 | 2 |
0.1%
|
|
| 7200000 | 1 |
0%
|
|
| 8400000 | 1 |
0%
|
|
| 9150000 | 1 |
0%
|
|
| 10000000 | 1 |
0%
|
|
| 15000000 | 3 |
0.1%
|
|
| 20000000 | 2 |
0.1%
|
|
| 30000000 | 1 |
0%
|
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.
Others
Notes
Au cours des 12 DM dépense en produits tels constr, fêtes, , mobiliers, impôts, bijoux?