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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / MLI_2014_IAS_V01_EN_M_V01_A_OCS / variable [F52]
agricultural-surveys

Integrated Agricultural Survey 2014

Mali, 2014
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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
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 07, 2020
Last modified
Nov 08, 2022
Page views
114665
Downloads
1676
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • 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

Equivalent en Kg (s1aq03c)

Data file: EACISTOCK_p1

Overview

Valid: 6294
Invalid: 1
Type: Discrete
Decimal: 0
Start: 44
End: 47
Width: 4
Range: 0 - 9999
Format: Numeric

Questions and instructions

Literal question
Quelle a été la quantité de la récolte de ce produit l'année dernière (2013/2014)
Equiv. en Kg
CODE
Categories
Value Category Cases
0 Aucun autre grenier 203
3.2%
0.200000002980232 1
0%
0.5 1
0%
0.899999976158142 1
0%
1 438
7%
1.20000004768372 1
0%
1.5 2
0%
2 25
0.4%
2.5 441
7%
2.59999990463257 1
0%
3 16
0.3%
4 5
0.1%
4.5 1
0%
5 19
0.3%
6 3
0%
7 5
0.1%
8 3
0%
9 2
0%
10 27
0.4%
12 2
0%
13 2
0%
14 1
0%
15 60
1%
16 8
0.1%
17 1
0%
18 1
0%
20 52
0.8%
22 1
0%
25 143
2.3%
27 1
0%
28 1
0%
30 70
1.1%
32 1
0%
33 18
0.3%
35 22
0.3%
36 1
0%
40 60
1%
42 3
0%
45 24
0.4%
47 1
0%
48 1
0%
50 375
6%
56 2
0%
60 49
0.8%
65 16
0.3%
70 442
7%
72 2
0%
75 66
1%
76 1
0%
80 92
1.5%
81 1
0%
85 4
0.1%
90 35
0.6%
100 2664
42.3%
105 3
0%
110 11
0.2%
120 29
0.5%
125 1
0%
130 2
0%
140 4
0.1%
142.800003051758 1
0%
150 16
0.3%
170 2
0%
171 1
0%
200 88
1.4%
210 3
0%
240 1
0%
250 255
4.1%
280 4
0.1%
300 147
2.3%
350 29
0.5%
375 2
0%
400 79
1.3%
420 5
0.1%
425 1
0%
440 2
0%
490 1
0%
500 46
0.7%
550 1
0%
560 5
0.1%
600 6
0.1%
700 10
0.2%
750 3
0%
770 1
0%
800 4
0.1%
802 1
0%
875 1
0%
900 2
0%
999 10
0.2%
999.900024414062 8
0.1%
1000 21
0.3%
1050 2
0%
1070 1
0%
1100 1
0%
1125 1
0%
1200 2
0%
1250 3
0%
1300 1
0%
1400 4
0.1%
1500 7
0.1%
1750 1
0%
1960 1
0%
2000 5
0.1%
2062.5 1
0%
2100 1
0%
2250 1
0%
2500 5
0.1%
3000 5
0.1%
3250 1
0%
3500 1
0%
4000 2
0%
4250 1
0%
5000 4
0.1%
5200 1
0%
5250 2
0%
8000 1
0%
9998 Ne sait pas 0
0%
9999 Manquant 15
0.2%
Sysmiss 1
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.
Interviewer instructions
Inscrire sur cette colonne la quantité récoltée et le code UML de la colonne suivante
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