Enquête Harmonisée sur le Conditions de Vie des Ménages 2018-2019
Mali, 2018 - 2019
Get Microdata
Reference ID
MLI_2018_EHCVM_v02_M
Producer(s)
Institut National de la Statistique (INSTAT)
Metadata
Created on
Feb 15, 2022
Last modified
Sep 01, 2022
Page views
153883
Downloads
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- Data files
- 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
3.31. Quel est le montant des dépenses de bilan de santé (check up)? (s03q31)
Data file: s03_me_mli2018
Overview
Valid:
2042
Invalid:
43972
Type:
Discrete
Decimal:
0
Start:
323
End:
332
Width:
10
Range:
-999999999 - 1000000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -999999999 | missing | 0 |
0%
|
| 0 | 1565 |
76.6%
|
|
| 50 | 1 |
0%
|
|
| 100 | 10 |
0.5%
|
|
| 250 | 1 |
0%
|
|
| 300 | 4 |
0.2%
|
|
| 400 | 1 |
0%
|
|
| 500 | 7 |
0.3%
|
|
| 650 | 1 |
0%
|
|
| 900 | 1 |
0%
|
|
| 1000 | 11 |
0.5%
|
|
| 1250 | 1 |
0%
|
|
| 1500 | 5 |
0.2%
|
|
| 2000 | 8 |
0.4%
|
|
| 2400 | 1 |
0%
|
|
| 2500 | 1 |
0%
|
|
| 2600 | 1 |
0%
|
|
| 3000 | 6 |
0.3%
|
|
| 3300 | 1 |
0%
|
|
| 3500 | 2 |
0.1%
|
|
| 3580 | 1 |
0%
|
|
| 3750 | 1 |
0%
|
|
| 4000 | 1 |
0%
|
|
| 4500 | 2 |
0.1%
|
|
| 4600 | 1 |
0%
|
|
| 4750 | 1 |
0%
|
|
| 5000 | 14 |
0.7%
|
|
| 6000 | 8 |
0.4%
|
|
| 6350 | 1 |
0%
|
|
| 6500 | 6 |
0.3%
|
|
| 7000 | 6 |
0.3%
|
|
| 7500 | 2 |
0.1%
|
|
| 7750 | 1 |
0%
|
|
| 8000 | 9 |
0.4%
|
|
| 8500 | 1 |
0%
|
|
| 9000 | 5 |
0.2%
|
|
| 9500 | 1 |
0%
|
|
| 9999 | 224 |
11%
|
|
| 10000 | 14 |
0.7%
|
|
| 10500 | 2 |
0.1%
|
|
| 11000 | 6 |
0.3%
|
|
| 11500 | 1 |
0%
|
|
| 11750 | 1 |
0%
|
|
| 12000 | 6 |
0.3%
|
|
| 12500 | 4 |
0.2%
|
|
| 12750 | 1 |
0%
|
|
| 14000 | 1 |
0%
|
|
| 14500 | 1 |
0%
|
|
| 15000 | 5 |
0.2%
|
|
| 15500 | 1 |
0%
|
|
| 15600 | 1 |
0%
|
|
| 16000 | 5 |
0.2%
|
|
| 16350 | 1 |
0%
|
|
| 17500 | 1 |
0%
|
|
| 19000 | 1 |
0%
|
|
| 19250 | 1 |
0%
|
|
| 19500 | 1 |
0%
|
|
| 20000 | 6 |
0.3%
|
|
| 20200 | 1 |
0%
|
|
| 22000 | 1 |
0%
|
|
| 22600 | 1 |
0%
|
|
| 23000 | 2 |
0.1%
|
|
| 25000 | 7 |
0.3%
|
|
| 27000 | 1 |
0%
|
|
| 27500 | 1 |
0%
|
|
| 29000 | 1 |
0%
|
|
| 30000 | 5 |
0.2%
|
|
| 35000 | 2 |
0.1%
|
|
| 36500 | 1 |
0%
|
|
| 40000 | 3 |
0.1%
|
|
| 42500 | 1 |
0%
|
|
| 43000 | 1 |
0%
|
|
| 45000 | 6 |
0.3%
|
|
| 50000 | 6 |
0.3%
|
|
| 53000 | 1 |
0%
|
|
| 54000 | 1 |
0%
|
|
| 57000 | 1 |
0%
|
|
| 58000 | 2 |
0.1%
|
|
| 60000 | 5 |
0.2%
|
|
| 65000 | 5 |
0.2%
|
|
| 74000 | 1 |
0%
|
|
| 75000 | 4 |
0.2%
|
|
| 80000 | 2 |
0.1%
|
|
| 95000 | 1 |
0%
|
|
| 100000 | 4 |
0.2%
|
|
| 200000 | 1 |
0%
|
|
| 1000000 | 1 |
0%
|
|
| Sysmiss | 43972 |
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.