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    Home / Central Data Catalog / LSMS / NER_2021_EHCVM-2_V01_M / variable [F4]
lsms

Enquête Harmonisée sur le Conditions de Vie des Ménages, 2021-2022

Niger, 2021 - 2022
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Reference ID
NER_2021_EHCVM-2_v01_M
Producer(s)
Institut National de la Statistique (INS)
Collection(s)
Living Standards Measurement Study (LSMS) Fragility, Conflict and Violence
Metadata
Documentation in PDF DDI/XML JSON
Created on
Aug 02, 2024
Last modified
Aug 02, 2024
Page views
98794
Downloads
8733
  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • s00_me_ner2021
  • s01_me_ner2021
  • s02_me_ner2021
  • s03_me_ner2021
  • s04a_me_ner2021
  • s04b_me_ner2021
  • s04c_me_ner2021
  • s05_me_ner2021
  • s06_me_ner2021
  • s07a_1_me_ner2021
  • s07a_2_me_ner2021
  • s07b_me_ner2021
  • s08a_me_ner2021
  • s09a_me_ner2021
  • s09b_me_ner2021
  • s09c_me_ner2021
  • s09d_me_ner2021
  • s09e_me_ner2021
  • s09f_me_ner2021
  • s10a_me_ner2021
  • s10b_me_ner2021
  • s11_me_ner2021
  • s12_me_ner2021
  • s13_1_me_ner2021
  • s13_2_me_ner2021
  • s14a_me_ner2021
  • s14b_me_ner2021
  • s15_me_ner2021
  • s16a_me_ner2021
  • s16b_me_ner2021
  • s16c_me_ner2021
  • s16d_me_ner2021
  • s17_me_ner2021
  • s19_me_ner2021
  • s20a_me_ner2021
  • s20b_1_me_ner2021
  • s20b_2_me_ner2021
  • s20b_3_me_ner2021
  • s20c_me_ner2021
  • s00_co_ner2021
  • s01_co_ner2021
  • s02_co_ner2021
  • s03_co_ner2021
  • s04_co_ner2021
  • calorie_conversion_wa_2021
  • ehcvm_conso_ner2021
  • ehcvm_ihpc_ner2021
  • ehcvm_ihpcreg_ner2021
  • ehcvm_individu_ner2021
  • ehcvm_menage_ner2021
  • ehcvm_nsu_ner2021
  • ehcvm_ponderations_ner2021
  • ehcvm_prix_ner2021
  • ehcvm_welfare_ner2021

3.18a.Montant des frais de médicaments tradi des 3 derniers mois? (s03q18a)

Data file: s03_me_ner2021

Overview

Valid: 7953
Invalid: 36666
Minimum: 0
Maximum: 350000
Type: Discrete
Decimal: 0
Width: 6
Range: 0 - 350000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 Si médicaments reçus gratuitement, écrivez 00 709
8.9%
50 2
0%
100 1
0%
150 1
0%
200 6
0.1%
250 7
0.1%
300 5
0.1%
350 3
0%
400 5
0.1%
450 1
0%
500 48
0.6%
600 4
0.1%
650 2
0%
700 2
0%
750 4
0.1%
800 1
0%
1000 45
0.6%
1050 1
0%
1100 1
0%
1200 4
0.1%
1250 8
0.1%
1300 2
0%
1500 22
0.3%
1600 1
0%
1750 2
0%
2000 42
0.5%
2100 1
0%
2200 1
0%
2250 2
0%
2300 1
0%
2500 18
0.2%
2900 1
0%
3000 32
0.4%
3500 7
0.1%
3900 1
0%
4000 12
0.2%
4100 1
0%
4500 4
0.1%
4575 1
0%
5000 35
0.4%
5100 1
0%
5500 3
0%
6000 10
0.1%
6500 1
0%
7000 4
0.1%
7500 4
0.1%
8000 4
0.1%
9500 1
0%
9999 si NC écrivez 9999 6748
84.8%
10000 24
0.3%
11000 3
0%
12000 2
0%
12500 1
0%
13000 2
0%
13250 1
0%
13750 1
0%
14000 3
0%
14500 1
0%
15000 13
0.2%
16000 1
0%
16500 1
0%
17000 3
0%
18000 2
0%
20000 9
0.1%
23000 1
0%
25000 7
0.1%
29000 1
0%
30000 11
0.1%
33000 1
0%
35000 5
0.1%
36000 1
0%
37000 1
0%
40000 2
0%
45000 3
0%
49200 1
0%
50000 13
0.2%
55000 2
0%
60000 1
0%
65000 1
0%
70000 1
0%
75000 4
0.1%
80000 2
0%
100000 3
0%
130000 1
0%
200000 1
0%
350000 1
0%
Sysmiss 36666
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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