Enquête en Grappe a Indicateurs Multiples et de Dépenses des Ménages 2009
Mali, 2009 - 2010
Created on
Jul 07, 2015
Last modified
Mar 29, 2019
Page views
170575
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- Data files
- MLI_2009_HH
- MLI_2009_HL
- MLI_2009_J
- MLI_2009_K1
- MLI_2009_K2
- MLI_2009_K3
- MLI_2009_K4
- MLI_2009_L1
- MLI_2009_L2
- MLI_2009_M
- MLI_2009_maitre
- MLI_2009_N
- MLI_2009_O1
- MLI_2009_O2
- MLI_2009_O3
- MLI_2009_poids
-
MLI_2009_relevés
des prix - ELIM2009_Dépenses_maitre
- MICS_Enfants
- MICS_Femmes
- MICS_Individus
- MICS_Ménages
- ELIM2009_Individu
- ELIM2009_Menage
La valeur au coût de remplacement (j6)
Data file: MLI_2009_J
Overview
Valid:
51514
Invalid:
170
Type:
Discrete
Decimal:
0
Start:
21
End:
28
Width:
8
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 0 | |
| 75 | |
| 100 | |
| 125 | |
| 150 | |
| 200 | |
| 250 | |
| 300 | |
| 350 | |
| 400 | |
| 450 | |
| 500 | |
| 550 | |
| 600 | |
| 650 | |
| 700 | |
| 750 | |
| 800 | |
| 850 | |
| 900 | |
| 1000 | |
| 1100 | |
| 1150 | |
| 1200 | |
| 1250 | |
| 1300 | |
| 1400 | |
| 1500 | |
| 1600 | |
| 1700 | |
| 1750 | |
| 1800 | |
| 1850 | |
| 1900 | |
| 2000 | |
| 2200 | |
| 2250 | |
| 2300 | |
| 2400 | |
| 2500 | |
| 2600 | |
| 2700 | |
| 2750 | |
| 2800 | |
| 3000 | |
| 3200 | |
| 3250 | |
| 3500 | |
| 3600 | |
| 3725 | |
| 3750 | |
| 3900 | |
| 4000 | |
| 4250 | |
| 4500 | |
| 4800 | |
| 4900 | |
| 5000 | |
| 5250 | |
| 5400 | |
| 5500 | |
| 6000 | |
| 6250 | |
| 6400 | |
| 6500 | |
| 7000 | |
| 7400 | |
| 7500 | |
| 7800 | |
| 8000 | |
| 8500 | |
| 8750 | |
| 9000 | |
| 9375 | |
| 9500 | |
| 10000 | |
| 10500 | |
| 10750 | |
| 11000 | |
| 11200 | |
| 11500 | |
| 12000 | |
| 12500 | |
| 13000 | |
| 13500 | |
| 14000 | |
| 14500 | |
| 15000 | |
| 15500 | |
| 16000 | |
| 16500 | |
| 17000 | |
| 17500 | |
| 17750 | |
| 18000 | |
| 18500 | |
| 19000 | |
| 19500 | |
| 20000 | |
| 20500 | |
| 21000 | |
| 21500 | |
| 22000 | |
| 22500 | |
| 23000 | |
| 23500 | |
| 24000 | |
| 24500 | |
| 25000 | |
| 26000 | |
| 26500 | |
| 27000 | |
| 27500 | |
| 28000 | |
| 28500 | |
| 29000 | |
| 29500 | |
| 30000 | |
| 30800 | |
| 31250 | |
| 32000 | |
| 32500 | |
| 33000 | |
| 33500 | |
| 34000 | |
| 34500 | |
| 35000 | |
| 36000 | |
| 37000 | |
| 37500 | |
| 38000 | |
| 39000 | |
| 40000 | |
| 42000 | |
| 42500 | |
| 43500 | |
| 43750 | |
| 44000 | |
| 44500 | |
| 45000 | |
| 46000 | |
| 47000 | |
| 47500 | |
| 48000 | |
| 48215 | |
| 48500 | |
| 49000 | |
| 50000 | |
| 50002 | |
| 51000 | |
| 52000 | |
| 52500 | |
| 53000 | |
| 53500 | |
| 54000 | |
| 55000 | |
| 57000 | |
| 58000 | |
| 59000 | |
| 60000 | |
| 61000 | |
| 62000 | |
| 62500 | |
| 65000 | |
| 65500 | |
| 67500 | |
| 68500 | |
| 68900 | |
| 69000 | |
| 70000 | |
| 72000 | |
| 73000 | |
| 73500 | |
| 74000 | |
| 74500 | |
| 75000 | |
| 76000 | |
| 77000 | |
| 77500 | |
| 78000 | |
| 79000 | |
| 80000 | |
| 82500 | |
| 85000 | |
| 87000 | |
| 87500 | |
| 90000 | |
| 95000 | |
| 96000 | |
| 97500 | |
| 98000 | |
| 99000 | |
| 100000 | |
| 102000 | |
| 105000 | |
| 110000 | |
| 111000 | |
| 115000 | |
| 120000 | |
| 122000 | |
| 125000 | |
| 129000 | |
| 130000 | |
| 132500 | |
| 135000 | |
| 137500 | |
| 140000 | |
| 145000 | |
| 150000 | |
| 155000 | |
| 160000 | |
| 165000 | |
| 170000 | |
| 170500 | |
| 175000 | |
| 176000 | |
| 180000 | |
| 185000 | |
| 190000 | |
| 195000 | |
| 200000 | |
| 202500 | |
| 205000 | |
| 210000 | |
| 215000 | |
| 220000 | |
| 225000 | |
| 230000 | |
| 232500 | |
| 234000 | |
| 235000 | |
| 240000 | |
| 245000 | |
| 250000 | |
| 255000 | |
| 260000 | |
| 270000 | |
| 275000 | |
| 278000 | |
| 280000 | |
| 285000 | |
| 290000 | |
| 300000 | |
| 305000 | |
| 310000 | |
| 315000 | |
| 320000 | |
| 325000 | |
| 330000 | |
| 340000 | |
| 350000 | |
| 360000 | |
| 370000 | |
| 375000 | |
| 379000 | |
| 390000 | |
| 400000 | |
| 425000 | |
| 430000 | |
| 440000 | |
| 450000 | |
| 470000 | |
| 475000 | |
| 480000 | |
| 500000 | |
| 520000 | |
| 550000 | |
| 575000 | |
| 580000 | |
| 600000 | |
| 625000 | |
| 640000 | |
| 650000 | |
| 665000 | |
| 690000 | |
| 700000 | |
| 725000 | |
| 750000 | |
| 755000 | |
| 770000 | |
| 800000 | |
| 850000 | |
| 875000 | |
| 900000 | |
| 950000 | |
| 1000000 | |
| 1100000 | |
| 1150000 | |
| 1200000 | |
| 1250000 | |
| 1300000 | |
| 1350000 | |
| 1400000 | |
| 1450000 | |
| 1500000 | |
| 1600000 | |
| 1700000 | |
| 1750000 | |
| 1800000 | |
| 1900000 | |
| 2000000 | |
| 2100000 | |
| 2200000 | |
| 2300000 | |
| 2350000 | |
| 2400000 | |
| 2500000 | |
| 2600000 | |
| 2700000 | |
| 2750000 | |
| 2755000 | |
| 2800000 | |
| 2900000 | |
| 3000000 | |
| 3300000 | |
| 3400000 | |
| 3500000 | |
| 3600000 | |
| 3900000 | |
| 4000000 | |
| 4500000 | |
| 5000000 | |
| 5500000 | |
| 6000000 | |
| 6500000 | |
| 6900000 | |
| 7000000 | |
| 7500000 | |
| 8000000 | |
| 8500000 | |
| 9000000 | |
| 9500000 | |
| 9600000 | |
| 10000000 | |
| 10200000 | |
| 10500000 | |
| 11000000 | |
| 12000000 | |
| 12500000 | |
| 13000000 | |
| 14000000 | |
| 14500000 | |
| 15000000 | |
| 16000000 | |
| 17000000 | |
| 18000000 | |
| 20000000 | |
| 25000000 | |
| 30000000 | |
| 32000000 | |
| 33000000 | |
| 35000000 | |
| 40000000 | |
| 45000000 | |
| 60000000 | |
| 75000000 | |
| 89000000 | |
| 99999999 | Manquant |
| 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.