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    Home / Central Data Catalog / LSMS / MLI_2017_EAC-I_V03_M / variable [F41]
lsms

Enquête Agricole de Conjoncture Intégrée aux Conditions de Vie des Ménages 2017

Mali, 2017 - 2018
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Reference ID
MLI_2017_EAC-I_v03_M
DOI
https://doi.org/10.48529/0v50-h966
Producer(s)
Cellule de Planification et de Statistiques, Institut National de la Statistique, Direction Nationale de l'Agriculture
Collection(s)
Living Standards Measurement Study (LSMS) Fragility, Conflict and Violence
Metadata
Documentation in PDF DDI/XML JSON
Created on
Feb 14, 2019
Last modified
Jan 30, 2020
Page views
263392
Downloads
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  • Data files
  • eaci17_s00p1
  • eaci17_s01p1
  • eaci17_s01p2
  • eaci17_s02p1
  • eaci17_s02p2
  • eaci17_s03p1
  • eaci17_s04p1
  • eaci17_s04p2
  • eaci17_s05ap1
  • eaci17_s05bp1
  • eaci17_s05p2
  • eaci17_s06ap2
  • eaci17_s06bp2
  • eaci17_s06p1
  • eaci17_s07ap2
  • eaci17_s07bp2
  • eaci17_s07cp2
  • eaci17_s07dp2
  • eaci17_s07p1
  • eaci17_s7ep2
  • eaci17_s7fp2
  • eaci17_s7gp2
  • eaci17_s08p1
  • eaci17_s8ap2
  • eaci17_s8b1p2
  • eaci17_s8b2p2
  • eaci17_s8cp2
  • eaci17_s8d1p2
  • eaci17_s8d2p2
  • eaci17_s8ep2
  • eaci17_s8fp2
  • eaci17_s8gp2
  • eaci17_s09ap1
  • eaci17_s09bp1
  • eaci17_s9p2
  • eaci17_s10p1
  • eaci17_s11a1p1
  • eaci17_s11a2p1
  • eaci17_s11bp1
  • eaci17_s11cp1
  • eaci17_s11dp1
  • eaci17_s11ep1
  • eaci17_s11fp1
  • EACI17_ECHANTILLON
  • eaci17_s00p2
  • eaci17_s03p2
  • eaci_geovariables_2017

À combien revendrez-vous le dernier équipement du genre aujourd’hui? (s09q06)

Data file: eaci17_s9p2

Overview

Valid: 7383
Invalid: 252707
Minimum: 0
Maximum: 99999998
Type: Discrete
Decimal: 0
Start: 27
End: 34
Width: 8
Range: 0 - 99999998
Format: Numeric

Questions and instructions

Literal question
À combien revendrezvous le dernier de ces articles aujourd’hui ?
Categories
Value Category Cases
0 774
10.5%
50 1
0%
100 7
0.1%
250 4
0.1%
260 1
0%
300 12
0.2%
400 5
0.1%
500 119
1.6%
600 6
0.1%
700 4
0.1%
750 54
0.7%
1000 180
2.4%
1250 1
0%
1500 73
1%
2000 123
1.7%
2250 2
0%
2500 38
0.5%
2600 1
0%
2800 1
0%
3000 65
0.9%
3500 7
0.1%
4000 57
0.8%
4500 3
0%
5000 140
1.9%
6000 21
0.3%
6500 1
0%
7000 25
0.3%
7500 83
1.1%
8000 20
0.3%
9000 2
0%
10000 376
5.1%
11000 8
0.1%
12000 26
0.4%
12500 56
0.8%
13000 2
0%
13500 1
0%
14000 2
0%
15000 357
4.8%
15500 1
0%
16000 2
0%
17000 6
0.1%
17500 26
0.4%
18000 6
0.1%
18500 4
0.1%
19000 4
0.1%
20000 375
5.1%
21000 2
0%
22000 1
0%
22500 5
0.1%
24000 2
0%
25000 171
2.3%
26000 3
0%
27000 7
0.1%
27500 13
0.2%
28000 6
0.1%
30000 183
2.5%
31000 1
0%
33000 1
0%
34000 1
0%
35000 91
1.2%
36000 1
0%
37000 2
0%
37500 4
0.1%
40000 158
2.1%
45000 51
0.7%
49000 1
0%
50000 247
3.3%
55000 13
0.2%
60000 90
1.2%
65000 22
0.3%
67000 1
0%
70000 44
0.6%
75000 151
2%
76000 1
0%
80000 44
0.6%
85000 9
0.1%
90000 23
0.3%
92000 1
0%
100000 120
1.6%
110000 1
0%
115000 2
0%
120000 16
0.2%
125000 33
0.4%
130000 6
0.1%
135000 4
0.1%
140000 1
0%
145000 3
0%
150000 78
1.1%
157000 1
0%
160000 6
0.1%
165000 1
0%
170000 6
0.1%
175000 29
0.4%
180000 4
0.1%
185000 2
0%
190000 2
0%
195000 1
0%
200000 140
1.9%
210000 6
0.1%
215000 2
0%
220000 3
0%
225000 28
0.4%
230000 12
0.2%
235000 2
0%
240000 8
0.1%
245000 9
0.1%
250000 133
1.8%
255000 3
0%
260000 3
0%
265000 2
0%
270000 2
0%
275000 13
0.2%
280000 1
0%
300000 121
1.6%
320000 1
0%
325000 2
0%
330000 1
0%
350000 48
0.7%
360000 1
0%
370000 2
0%
375000 4
0.1%
400000 34
0.5%
420000 2
0%
425000 2
0%
445000 1
0%
450000 7
0.1%
500000 22
0.3%
525000 1
0%
560000 1
0%
600000 10
0.1%
620000 1
0%
670000 1
0%
700000 5
0.1%
750000 5
0.1%
800000 11
0.1%
900000 5
0.1%
950000 1
0%
980000 1
0%
1000000 7
0.1%
1200000 1
0%
1250000 1
0%
1400000 1
0%
1500000 3
0%
1800000 1
0%
2000000 6
0.1%
2400000 1
0%
2500000 3
0%
3000000 3
0%
3250000 1
0%
5000000 1
0%
6000000 1
0%
25000000 1
0%
99999998 Ne sait pas 1947
26.4%
Sysmiss 252707
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.
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