Quatrième Enquête Camerounaise Auprès des Ménages 2014
Cameroon, 2014
Created on
Mar 29, 2019
Last modified
Mar 29, 2019
Page views
68829
Valeur à l'acquisition du premier plus important bien (milliers FCFA) (S10Q10A)
Data file: ECAM4S10
Overview
Valid:
12884
Invalid:
172570
Type:
Discrete
Decimal:
0
Start:
48
End:
57
Width:
10
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 0 | |
| 1000 | |
| 1500 | |
| 1800 | |
| 2000 | |
| 2500 | |
| 3000 | |
| 3500 | |
| 4000 | |
| 4500 | |
| 5000 | |
| 6000 | |
| 6500 | |
| 7000 | |
| 7500 | |
| 8000 | |
| 8500 | |
| 8800 | |
| 9000 | |
| 9500 | |
| 10000 | |
| 11000 | |
| 11500 | |
| 12000 | |
| 12500 | |
| 13000 | |
| 13500 | |
| 14000 | |
| 14500 | |
| 15000 | |
| 15500 | |
| 16000 | |
| 17000 | |
| 17500 | |
| 18000 | |
| 18500 | |
| 19000 | |
| 19500 | |
| 20000 | |
| 21000 | |
| 21500 | |
| 22000 | |
| 22500 | |
| 23000 | |
| 23500 | |
| 24000 | |
| 24500 | |
| 25000 | |
| 25500 | |
| 25800 | |
| 26000 | |
| 26500 | |
| 27000 | |
| 27500 | |
| 28000 | |
| 29000 | |
| 30000 | |
| 31000 | |
| 32000 | |
| 32142 | |
| 33000 | |
| 34000 | |
| 35000 | |
| 35500 | |
| 36000 | |
| 37000 | |
| 37400 | |
| 37500 | |
| 38000 | |
| 38500 | |
| 38600 | |
| 40000 | |
| 41000 | |
| 41500 | |
| 42000 | |
| 42500 | |
| 43000 | |
| 44000 | |
| 45000 | |
| 46000 | |
| 47000 | |
| 47500 | |
| 48000 | |
| 49000 | |
| 49500 | |
| 50000 | |
| 51000 | |
| 52000 | |
| 52500 | |
| 53000 | |
| 54000 | |
| 55000 | |
| 56000 | |
| 57000 | |
| 58000 | |
| 59000 | |
| 60000 | |
| 60500 | |
| 61500 | |
| 62000 | |
| 63000 | |
| 64000 | |
| 65000 | |
| 65500 | |
| 66000 | |
| 67000 | |
| 68000 | |
| 70000 | |
| 71000 | |
| 72000 | |
| 73000 | |
| 73500 | |
| 74000 | |
| 75000 | |
| 76000 | |
| 77000 | |
| 78000 | |
| 79000 | |
| 80000 | |
| 82000 | |
| 85000 | |
| 86000 | |
| 87000 | |
| 88000 | |
| 89000 | |
| 89500 | |
| 90000 | |
| 92000 | |
| 94000 | |
| 95000 | |
| 96000 | |
| 97000 | |
| 97500 | |
| 98000 | |
| 99000 | |
| 100000 | |
| 100005 | |
| 103000 | |
| 104000 | |
| 105000 | |
| 106000 | |
| 108000 | |
| 109000 | |
| 110000 | |
| 111000 | |
| 112000 | |
| 113000 | |
| 115000 | |
| 117900 | |
| 119000 | |
| 120000 | |
| 124000 | |
| 125000 | |
| 126000 | |
| 128000 | |
| 130000 | |
| 132000 | |
| 135000 | |
| 138000 | |
| 140000 | |
| 141560 | |
| 142000 | |
| 144000 | |
| 145000 | |
| 150000 | |
| 155000 | |
| 157500 | |
| 160000 | |
| 162500 | |
| 165000 | |
| 170000 | |
| 171000 | |
| 172000 | |
| 175000 | |
| 176000 | |
| 178000 | |
| 180000 | |
| 182000 | |
| 185000 | |
| 190000 | |
| 195000 | |
| 197000 | |
| 200000 | |
| 205000 | |
| 210000 | |
| 213000 | |
| 215000 | |
| 217000 | |
| 218000 | |
| 220000 | |
| 225000 | |
| 230000 | |
| 235000 | |
| 240000 | |
| 245000 | |
| 250000 | |
| 255000 | |
| 260000 | |
| 265000 | |
| 267000 | |
| 270000 | |
| 275000 | |
| 276000 | |
| 280000 | |
| 285000 | |
| 290000 | |
| 295000 | |
| 300000 | |
| 307000 | |
| 310000 | |
| 312000 | |
| 315000 | |
| 320000 | |
| 325000 | |
| 328000 | |
| 330000 | |
| 335000 | |
| 340000 | |
| 345000 | |
| 350000 | |
| 355000 | |
| 360000 | |
| 365000 | |
| 368000 | |
| 370000 | |
| 375000 | |
| 377000 | |
| 377500 | |
| 380000 | |
| 385000 | |
| 388000 | |
| 390000 | |
| 390350 | |
| 395000 | |
| 400000 | |
| 402500 | |
| 410000 | |
| 412000 | |
| 420000 | |
| 425000 | |
| 426000 | |
| 428000 | |
| 430000 | |
| 440000 | |
| 444000 | |
| 450000 | |
| 455000 | |
| 460000 | |
| 465000 | |
| 470000 | |
| 475000 | |
| 480000 | |
| 485000 | |
| 490000 | |
| 500000 | |
| 501000 | |
| 510000 | |
| 520000 | |
| 524000 | |
| 525000 | |
| 530000 | |
| 535000 | |
| 540000 | |
| 550000 | |
| 560000 | |
| 575000 | |
| 580000 | |
| 600000 | |
| 615000 | |
| 625000 | |
| 640000 | |
| 650000 | |
| 680000 | |
| 700000 | |
| 715000 | |
| 740000 | |
| 750000 | |
| 770000 | |
| 780000 | |
| 800000 | |
| 830000 | |
| 850000 | |
| 860000 | |
| 900000 | |
| 950000 | |
| 1000000 | |
| 1000500 | |
| 1100000 | |
| 1150000 | |
| 1200000 | |
| 1300000 | |
| 1350000 | |
| 1400000 | |
| 1450000 | |
| 1500000 | |
| 1600000 | |
| 1650000 | |
| 1700000 | |
| 1800000 | |
| 2000000 | |
| 2100000 | |
| 2200000 | |
| 2300000 | |
| 2400000 | |
| 2500000 | |
| 2550000 | |
| 2600000 | |
| 2700000 | |
| 2750000 | |
| 2800000 | |
| 3000000 | |
| 3100000 | |
| 3400000 | |
| 3500000 | |
| 3600000 | |
| 3750000 | |
| 4000000 | |
| 4500000 | |
| 5000000 | |
| 5500000 | |
| 5600000 | |
| 5800000 | |
| 6000000 | |
| 6100000 | |
| 6500000 | |
| 7000000 | |
| 7500000 | |
| 8000000 | |
| 9000000 | |
| 9999998 | |
| 10000000 | |
| 11700000 | |
| 12000000 | |
| 15000000 | |
| 18000000 | |
| 20100000 | |
| 20500000 | |
| 25000000 | |
| 30000000 | |
| 999999998 | |
| 1410065406 | NSP |
| 9999999995 | |
| 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.