Quatrième Enquête Camerounaise Auprès des Ménages 2014
Cameroon, 2014
Created on
Mar 29, 2019
Last modified
Mar 29, 2019
Page views
68331
Estimation de la valeur de l'autoconsommation (F CFA) (S12Q88)
Data file: ECAM4S12L
Overview
Valid:
28219
Invalid:
155574
Type:
Discrete
Decimal:
0
Start:
39
End:
48
Width:
10
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 0 | |
| 18 | |
| 50 | |
| 100 | |
| 200 | |
| 250 | |
| 300 | |
| 350 | |
| 400 | |
| 450 | |
| 500 | |
| 600 | |
| 700 | |
| 750 | |
| 800 | |
| 850 | |
| 860 | |
| 900 | |
| 1000 | |
| 1050 | |
| 1200 | |
| 1250 | |
| 1300 | |
| 1400 | |
| 1500 | |
| 1600 | |
| 1650 | |
| 1700 | |
| 1720 | |
| 1750 | |
| 1800 | |
| 1875 | |
| 1900 | |
| 2000 | |
| 2100 | |
| 2200 | |
| 2250 | |
| 2300 | |
| 2400 | |
| 2500 | |
| 2580 | |
| 2600 | |
| 2700 | |
| 2800 | |
| 3000 | |
| 3200 | |
| 3300 | |
| 3500 | |
| 3571 | |
| 3600 | |
| 3750 | |
| 3800 | |
| 4000 | |
| 4200 | |
| 4250 | |
| 4300 | |
| 4500 | |
| 4600 | |
| 4800 | |
| 5000 | |
| 5200 | |
| 5250 | |
| 5400 | |
| 5500 | |
| 5600 | |
| 5625 | |
| 5800 | |
| 5820 | |
| 6000 | |
| 6020 | |
| 6200 | |
| 6250 | |
| 6300 | |
| 6400 | |
| 6450 | |
| 6500 | |
| 6750 | |
| 6800 | |
| 6900 | |
| 7000 | |
| 7200 | |
| 7400 | |
| 7500 | |
| 7800 | |
| 8000 | |
| 8300 | |
| 8400 | |
| 8450 | |
| 8500 | |
| 8600 | |
| 8700 | |
| 8800 | |
| 9000 | |
| 9500 | |
| 9600 | |
| 9800 | |
| 10000 | |
| 10200 | |
| 10320 | |
| 10500 | |
| 10750 | |
| 10800 | |
| 11000 | |
| 11250 | |
| 11300 | |
| 11500 | |
| 11700 | |
| 12000 | |
| 12500 | |
| 12600 | |
| 12750 | |
| 12800 | |
| 12900 | |
| 13000 | |
| 13500 | |
| 14000 | |
| 14400 | |
| 14500 | |
| 14700 | |
| 15000 | |
| 15500 | |
| 16000 | |
| 16100 | |
| 16250 | |
| 16400 | |
| 16500 | |
| 16800 | |
| 17000 | |
| 17142 | |
| 17200 | |
| 17250 | |
| 17500 | |
| 17600 | |
| 18000 | |
| 18400 | |
| 18500 | |
| 18900 | |
| 19000 | |
| 19200 | |
| 19250 | |
| 19500 | |
| 20000 | |
| 21000 | |
| 21500 | |
| 21800 | |
| 22000 | |
| 22500 | |
| 22750 | |
| 23000 | |
| 23100 | |
| 23500 | |
| 24000 | |
| 24500 | |
| 25000 | |
| 25200 | |
| 25500 | |
| 25600 | |
| 25800 | |
| 26000 | |
| 26400 | |
| 27000 | |
| 27500 | |
| 28000 | |
| 28500 | |
| 29000 | |
| 30000 | |
| 30100 | |
| 30800 | |
| 30960 | |
| 31000 | |
| 31500 | |
| 32000 | |
| 32200 | |
| 32500 | |
| 33000 | |
| 33600 | |
| 33800 | |
| 34000 | |
| 34300 | |
| 34500 | |
| 35000 | |
| 35700 | |
| 36000 | |
| 36500 | |
| 37000 | |
| 37500 | |
| 38000 | |
| 38500 | |
| 38700 | |
| 39000 | |
| 40000 | |
| 41000 | |
| 42000 | |
| 42550 | |
| 43000 | |
| 43750 | |
| 44000 | |
| 45000 | |
| 46000 | |
| 47000 | |
| 47500 | |
| 48000 | |
| 48300 | |
| 48500 | |
| 49000 | |
| 49500 | |
| 50000 | |
| 50200 | |
| 50400 | |
| 51000 | |
| 51600 | |
| 51900 | |
| 52000 | |
| 52500 | |
| 52800 | |
| 52906 | |
| 53000 | |
| 54000 | |
| 55000 | |
| 56000 | |
| 56250 | |
| 57000 | |
| 57500 | |
| 57600 | |
| 58000 | |
| 58800 | |
| 59500 | |
| 59800 | |
| 60000 | |
| 61000 | |
| 61600 | |
| 62000 | |
| 62500 | |
| 63000 | |
| 64000 | |
| 65000 | |
| 66000 | |
| 67000 | |
| 67500 | |
| 68000 | |
| 68400 | |
| 69000 | |
| 70000 | |
| 72000 | |
| 72200 | |
| 72500 | |
| 73500 | |
| 75000 | |
| 76000 | |
| 77000 | |
| 77400 | |
| 77500 | |
| 78000 | |
| 79500 | |
| 79600 | |
| 80000 | |
| 80500 | |
| 81000 | |
| 82000 | |
| 83200 | |
| 84000 | |
| 85000 | |
| 86000 | |
| 86400 | |
| 87200 | |
| 87500 | |
| 87900 | |
| 88000 | |
| 89000 | |
| 90000 | |
| 91000 | |
| 92000 | |
| 95000 | |
| 96000 | |
| 97000 | |
| 98000 | |
| 99000 | |
| 100000 | |
| 101500 | |
| 102000 | |
| 103200 | |
| 104000 | |
| 105000 | |
| 108000 | |
| 109200 | |
| 110000 | |
| 110500 | |
| 112000 | |
| 112500 | |
| 114285 | |
| 114750 | |
| 115000 | |
| 116000 | |
| 117000 | |
| 119000 | |
| 120000 | |
| 122000 | |
| 122500 | |
| 123600 | |
| 123840 | |
| 124000 | |
| 125000 | |
| 126000 | |
| 127000 | |
| 128000 | |
| 129000 | |
| 130000 | |
| 132000 | |
| 134500 | |
| 135000 | |
| 136000 | |
| 138000 | |
| 140000 | |
| 142000 | |
| 144000 | |
| 144480 | |
| 144500 | |
| 145000 | |
| 147000 | |
| 149500 | |
| 150000 | |
| 152000 | |
| 152250 | |
| 153000 | |
| 154000 | |
| 154800 | |
| 155000 | |
| 157000 | |
| 157500 | |
| 158000 | |
| 160000 | |
| 161000 | |
| 162000 | |
| 162500 | |
| 165000 | |
| 168000 | |
| 170000 | |
| 175000 | |
| 177000 | |
| 178000 | |
| 180000 | |
| 180600 | |
| 182000 | |
| 187000 | |
| 189000 | |
| 190000 | |
| 192000 | |
| 192500 | |
| 193000 | |
| 195000 | |
| 198000 | |
| 199920 | |
| 200000 | |
| 204000 | |
| 204600 | |
| 206400 | |
| 208000 | |
| 209000 | |
| 210000 | |
| 216000 | |
| 220000 | |
| 221000 | |
| 225000 | |
| 226500 | |
| 230000 | |
| 232200 | |
| 236350 | |
| 240000 | |
| 246000 | |
| 250000 | |
| 251000 | |
| 255000 | |
| 258000 | |
| 260000 | |
| 261000 | |
| 266000 | |
| 270000 | |
| 280000 | |
| 284000 | |
| 291000 | |
| 300000 | |
| 304500 | |
| 309600 | |
| 312000 | |
| 315000 | |
| 320000 | |
| 324000 | |
| 325000 | |
| 336000 | |
| 338000 | |
| 340000 | |
| 350000 | |
| 357500 | |
| 360000 | |
| 361200 | |
| 374000 | |
| 375000 | |
| 384000 | |
| 392000 | |
| 400000 | |
| 425000 | |
| 432000 | |
| 450000 | |
| 462500 | |
| 464400 | |
| 468000 | |
| 494000 | |
| 500000 | |
| 520000 | |
| 544000 | |
| 562500 | |
| 595000 | |
| 600000 | |
| 660000 | |
| 700000 | |
| 860000 | |
| 999999999 | |
| 1111111111 | |
| 1410065406 | NSP |
| 9999999997 | |
| 9999999998 | |
| Sysmiss |
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.