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    Home / Central Data Catalog / MLI_2018_EHCVM_V02_M / variable [F6]
central

Enquête Harmonisée sur le Conditions de Vie des Ménages 2018-2019

Mali, 2018 - 2019
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Reference ID
MLI_2018_EHCVM_v02_M
Producer(s)
Institut National de la Statistique (INSTAT)
Metadata
DDI/XML JSON
Created on
May 11, 2022
Last modified
Sep 01, 2022
Page views
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  • Study Description
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  • s00_me_mli2018
  • s01_me_mli2018
  • s02_me_mli2018
  • s03_me_mli2018
  • s04_me_mli2018
  • s05_me_mli2018
  • s06_me_mli2018
  • s07a1_me_mli2018
  • s07a2_me_mli2018
  • s07b_me_mli2018
  • s08a_me_mli2018
  • s08b1_me_mli2018
  • s08b2_me_mli2018
  • s09a_me_mli2018
  • s09b_me_mli2018
  • s09c_me_mli2018
  • s09d_me_mli2018
  • s09e_me_mli2018
  • s09f_me_mli2018
  • s10_1_me_mli2018
  • s10_2_me_mli2018
  • s11_me_mli2018
  • s12_me_mli2018
  • s13a_1_me_mli2018
  • s13a_2_me_mli2018
  • s13b_1_me_mli2018
  • s13b_2_me_mli2018
  • s14_me_mli2018
  • s15_me_mli2018
  • s16a_me_mli2018
  • s16b_me_mli2018
  • s16c_me_mli2018
  • s17_me_mli2018
  • s18_1_me_mli2018
  • s18_2_me_mli2018
  • s18_3_me_mli2018
  • s18_4_me_mli2018
  • s19_me_mli2018
  • s20_me_mli2018
  • s00a_co_mli2018
  • s00b_co_mli2018
  • s01_co_mli2018
  • s02_co_mli2018
  • s03_co_mli2018
  • s04_co_mli2018
  • s05_co_mli2018
  • ehcvm_individu_mli2018
  • ehcvm_menage_mli2018
  • ehcvm_ponderations_mli2018
  • ehcvm_conso_mli2018
  • ehcvm_welfare_mli2018
  • grappe_gps_mli2018

5.10. Mont annuel du rev provenant d loyers d maison d'habitat perçu par [NOM]? (s05q10)

Data file: s05_me_mli2018

Overview

Valid: 225
Invalid: 45789
Type: Discrete
Decimal: 0
Start: 114
End: 123
Width: 10
Range: -999999999 - 12000000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-999999999 missing 0
0%
4000 2
0.9%
5000 1
0.4%
8000 3
1.3%
14000 1
0.4%
15000 1
0.4%
18000 1
0.4%
20000 1
0.4%
25000 1
0.4%
30000 4
1.8%
36000 1
0.4%
40000 5
2.2%
45000 3
1.3%
50000 9
4%
52500 1
0.4%
60000 9
4%
65000 3
1.3%
70000 3
1.3%
72000 2
0.9%
75000 7
3.1%
80000 9
4%
88000 1
0.4%
90000 5
2.2%
95000 1
0.4%
100000 9
4%
120000 7
3.1%
125000 2
0.9%
140000 1
0.4%
145000 1
0.4%
150000 10
4.4%
170000 1
0.4%
175000 2
0.9%
180000 10
4.4%
192000 1
0.4%
195000 1
0.4%
200000 7
3.1%
210000 1
0.4%
216000 1
0.4%
232500 1
0.4%
240000 7
3.1%
250000 5
2.2%
270000 1
0.4%
283000 1
0.4%
300000 11
4.9%
320000 1
0.4%
360000 3
1.3%
375000 1
0.4%
400000 4
1.8%
420000 1
0.4%
450000 2
0.9%
460000 1
0.4%
480000 3
1.3%
500000 5
2.2%
520000 1
0.4%
540000 2
0.9%
550000 1
0.4%
600000 11
4.9%
650000 1
0.4%
700000 4
1.8%
720000 2
0.9%
774000 1
0.4%
840000 1
0.4%
900000 3
1.3%
960000 1
0.4%
1000000 1
0.4%
1020000 1
0.4%
1200000 4
1.8%
1440000 1
0.4%
1500000 2
0.9%
1600000 2
0.9%
1650000 1
0.4%
1800000 1
0.4%
2400000 1
0.4%
2880000 1
0.4%
3500000 1
0.4%
3600000 1
0.4%
4000000 1
0.4%
5000000 2
0.9%
8400000 1
0.4%
12000000 1
0.4%
Sysmiss 45789
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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