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
81366
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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
3.13 Mtant des frais consultation d'un médecin généraliste des 3 derniers mois? (s03q13)
Data file: s03_me_mli2018
Overview
Valid:
10194
Invalid:
35820
Type:
Discrete
Decimal:
0
Start:
143
End:
152
Width:
10
Range:
-999999999 - 300000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -999999999 | missing | 0 |
0%
|
| 0 | 3830 |
37.6%
|
|
| 100 | 45 |
0.4%
|
|
| 125 | 1 |
0%
|
|
| 150 | 3 |
0%
|
|
| 200 | 122 |
1.2%
|
|
| 225 | 1 |
0%
|
|
| 250 | 51 |
0.5%
|
|
| 300 | 270 |
2.6%
|
|
| 350 | 13 |
0.1%
|
|
| 400 | 41 |
0.4%
|
|
| 450 | 33 |
0.3%
|
|
| 500 | 1409 |
13.8%
|
|
| 550 | 1 |
0%
|
|
| 600 | 90 |
0.9%
|
|
| 700 | 6 |
0.1%
|
|
| 750 | 92 |
0.9%
|
|
| 800 | 47 |
0.5%
|
|
| 900 | 4 |
0%
|
|
| 1000 | 2223 |
21.8%
|
|
| 1050 | 1 |
0%
|
|
| 1100 | 3 |
0%
|
|
| 1200 | 10 |
0.1%
|
|
| 1250 | 16 |
0.2%
|
|
| 1400 | 2 |
0%
|
|
| 1500 | 149 |
1.5%
|
|
| 1600 | 4 |
0%
|
|
| 1800 | 1 |
0%
|
|
| 2000 | 467 |
4.6%
|
|
| 2250 | 1 |
0%
|
|
| 2300 | 2 |
0%
|
|
| 2500 | 25 |
0.2%
|
|
| 2750 | 1 |
0%
|
|
| 2800 | 1 |
0%
|
|
| 2900 | 1 |
0%
|
|
| 2950 | 1 |
0%
|
|
| 3000 | 176 |
1.7%
|
|
| 3200 | 2 |
0%
|
|
| 3250 | 1 |
0%
|
|
| 3500 | 15 |
0.1%
|
|
| 3750 | 1 |
0%
|
|
| 3805 | 1 |
0%
|
|
| 4000 | 31 |
0.3%
|
|
| 4375 | 1 |
0%
|
|
| 4400 | 1 |
0%
|
|
| 4450 | 1 |
0%
|
|
| 4500 | 8 |
0.1%
|
|
| 5000 | 123 |
1.2%
|
|
| 5300 | 1 |
0%
|
|
| 5500 | 3 |
0%
|
|
| 5600 | 1 |
0%
|
|
| 5625 | 1 |
0%
|
|
| 5900 | 1 |
0%
|
|
| 6000 | 27 |
0.3%
|
|
| 6075 | 1 |
0%
|
|
| 6200 | 1 |
0%
|
|
| 6350 | 2 |
0%
|
|
| 6400 | 1 |
0%
|
|
| 6500 | 2 |
0%
|
|
| 6570 | 1 |
0%
|
|
| 6700 | 1 |
0%
|
|
| 6850 | 1 |
0%
|
|
| 6900 | 1 |
0%
|
|
| 7000 | 9 |
0.1%
|
|
| 7200 | 1 |
0%
|
|
| 7300 | 1 |
0%
|
|
| 7500 | 6 |
0.1%
|
|
| 7800 | 2 |
0%
|
|
| 7850 | 1 |
0%
|
|
| 8000 | 7 |
0.1%
|
|
| 8015 | 1 |
0%
|
|
| 8050 | 1 |
0%
|
|
| 8135 | 1 |
0%
|
|
| 8150 | 1 |
0%
|
|
| 8250 | 2 |
0%
|
|
| 8500 | 2 |
0%
|
|
| 8900 | 1 |
0%
|
|
| 9000 | 7 |
0.1%
|
|
| 9800 | 1 |
0%
|
|
| 9999 | 623 |
6.1%
|
|
| 10000 | 40 |
0.4%
|
|
| 10140 | 1 |
0%
|
|
| 10200 | 1 |
0%
|
|
| 10500 | 2 |
0%
|
|
| 10800 | 1 |
0%
|
|
| 10825 | 1 |
0%
|
|
| 11000 | 3 |
0%
|
|
| 11030 | 1 |
0%
|
|
| 11300 | 1 |
0%
|
|
| 11400 | 1 |
0%
|
|
| 11500 | 4 |
0%
|
|
| 11715 | 1 |
0%
|
|
| 11760 | 1 |
0%
|
|
| 11800 | 2 |
0%
|
|
| 11835 | 1 |
0%
|
|
| 12000 | 9 |
0.1%
|
|
| 12300 | 1 |
0%
|
|
| 12380 | 1 |
0%
|
|
| 12450 | 1 |
0%
|
|
| 12500 | 2 |
0%
|
|
| 12800 | 1 |
0%
|
|
| 13000 | 3 |
0%
|
|
| 13400 | 1 |
0%
|
|
| 14000 | 2 |
0%
|
|
| 14150 | 1 |
0%
|
|
| 14310 | 1 |
0%
|
|
| 15000 | 15 |
0.1%
|
|
| 16000 | 1 |
0%
|
|
| 17000 | 1 |
0%
|
|
| 17800 | 2 |
0%
|
|
| 18000 | 3 |
0%
|
|
| 18500 | 1 |
0%
|
|
| 18600 | 1 |
0%
|
|
| 19200 | 1 |
0%
|
|
| 19500 | 1 |
0%
|
|
| 20000 | 6 |
0.1%
|
|
| 20315 | 1 |
0%
|
|
| 20585 | 1 |
0%
|
|
| 21000 | 1 |
0%
|
|
| 21500 | 1 |
0%
|
|
| 22500 | 1 |
0%
|
|
| 23000 | 1 |
0%
|
|
| 25000 | 5 |
0%
|
|
| 29515 | 1 |
0%
|
|
| 30000 | 6 |
0.1%
|
|
| 32500 | 2 |
0%
|
|
| 35000 | 1 |
0%
|
|
| 38000 | 1 |
0%
|
|
| 40000 | 1 |
0%
|
|
| 42500 | 1 |
0%
|
|
| 45000 | 1 |
0%
|
|
| 49000 | 1 |
0%
|
|
| 50000 | 2 |
0%
|
|
| 60000 | 1 |
0%
|
|
| 65000 | 1 |
0%
|
|
| 70000 | 1 |
0%
|
|
| 75000 | 1 |
0%
|
|
| 85000 | 1 |
0%
|
|
| 100000 | 1 |
0%
|
|
| 160000 | 1 |
0%
|
|
| 200000 | 1 |
0%
|
|
| 300000 | 2 |
0%
|
|
| Sysmiss | 35820 |
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.