Integrated Agricultural Survey 2014
Mali, 2014
Get Microdata
Reference ID
MLI_2014_IAS_v01_EN_M_v01_A_OCS
Producer(s)
Planning and Statistics Unit, National Institute of Statistics, National Directorate of Agriculture
Collections
Metadata
Created on
Oct 07, 2020
Last modified
Oct 07, 2020
Page views
10724
Downloads
490
- Data files
- EACIACT_p1
- EACIALI_p1
- EACIALI_p2
- EACICHOC_p2
- EACICOMALI1_p1
- EACICOMALI1_p2
- EACICOMALI2_p1
- EACICOMALI2_p2
- EACICULTURE_p1
- EACIENT_p1
- EACIEXPLOI_p1
- EACIFETE_p1
- EACIIND_p1
- EACIIND_p2
- EACIINTRANT_p1
- EACIMAINOUVRE_p1
- EACIMEN_p1
- EACIMEN_p2
- EACINA3MO_p1
- EACINA6M_p1
- EACINA7JO_p1
- EACINA7JO_p2
- EACINA12M_p1
- EACINA30J_p1
- EACINA30J_p2
- EACIPOIDS
- EACIREV_p1
- EACIS00_p1
- EACIS01_p1
- EACIS1D_p2
- EACIS1E_p2
- EACIS02_p1
- EACIS2C_p2
- EACIS2D_p2
- EACIS2E_p2
- EACIS2F_p2
- EACIS03_p1
- EACIS3A_p2
- EACIS3B_p2
- EACIS04_p1
- EACIS04_p2
- EACIS4A_p2
- EACIS4B_p2
- EACIS4C_p2
- EACIS4D_p2
- EACIS4E_p2
- EACIS5_p2
- EACISECURITE_p2
- EACISTOCK_p1
- EACITRE_p1
- EACITRR_p1
- EACICONTROLE_p1
- EACICONTROLE_p2
- eaci_geovariables_2014
- eaci2014_agregatconso
Montant des avantages qui ne sont pas inclus dans le salaire (s04q25a)
Data file: EACIIND_p2
Overview
Valid:
1098
Invalid:
36316
Type:
Discrete
Decimal:
0
Width:
8
Range:
0 - 99999999
Format:
Numeric
Questions and instructions
Literal question
A combien évaluez-vous les avantages non inclus dans le salaire, y compris éventuellement la nourriture?
FCFA
FCFA
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 282 |
0.8%
|
|
| 1000 | 1 |
0%
|
|
| 1500 | 2 |
0%
|
|
| 2000 | 2 |
0%
|
|
| 2400 | 1 |
0%
|
|
| 2500 | 1 |
0%
|
|
| 2600 | 1 |
0%
|
|
| 3000 | 3 |
0%
|
|
| 3150 | 1 |
0%
|
|
| 3500 | 6 |
0%
|
|
| 4000 | 1 |
0%
|
|
| 4200 | 1 |
0%
|
|
| 4250 | 1 |
0%
|
|
| 4500 | 7 |
0%
|
|
| 5000 | 5 |
0%
|
|
| 5500 | 1 |
0%
|
|
| 6000 | 2 |
0%
|
|
| 9998 | 2 |
0%
|
|
| 10000 | 7 |
0%
|
|
| 11500 | 1 |
0%
|
|
| 12000 | 1 |
0%
|
|
| 15000 | 20 |
0.1%
|
|
| 16000 | 2 |
0%
|
|
| 17000 | 1 |
0%
|
|
| 18000 | 1 |
0%
|
|
| 20000 | 19 |
0.1%
|
|
| 22000 | 1 |
0%
|
|
| 25000 | 3 |
0%
|
|
| 28000 | 1 |
0%
|
|
| 30000 | 40 |
0.1%
|
|
| 40000 | 3 |
0%
|
|
| 45000 | 2 |
0%
|
|
| 49760 | 1 |
0%
|
|
| 50000 | 8 |
0%
|
|
| 52000 | 1 |
0%
|
|
| 60000 | 8 |
0%
|
|
| 75000 | 1 |
0%
|
|
| 82500 | 1 |
0%
|
|
| 91000 | 1 |
0%
|
|
| 99998 | 12 |
0%
|
|
| 120000 | 2 |
0%
|
|
| 125000 | 2 |
0%
|
|
| 136000 | 1 |
0%
|
|
| 150000 | 3 |
0%
|
|
| 160000 | 1 |
0%
|
|
| 200000 | 3 |
0%
|
|
| 450000 | 1 |
0%
|
|
| 999998 | 30 |
0.1%
|
|
| 999999 | 1 |
0%
|
|
| 9999998 | 12 |
0%
|
|
| 99999988 | 1 |
0%
|
|
| 99999998 | NSP | 505 |
1.3%
|
| 99999999 | Manquant | 81 |
0.2%
|
| Sysmiss | 36316 |
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.