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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NER_2014-2015_ECVMA-W2_V01_EN_M_V01_A_OCS / variable [F41]
agricultural-surveys

National Survey on Household Living Conditions and Agriculture - Wave 2, 2014 - 2015

Niger, 2014 - 2015
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Reference ID
NER_2014-2015_ECVMA-W2_v01_EN_M_v01_A_OCS
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Aug 25, 2020
Last modified
Nov 08, 2022
Page views
101138
Downloads
1019
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • COMPRIXC07P2
  • COMPRIXC08P2
  • comprixcs00
  • comprixcs01
  • comprixcs03a
  • comprixcs06
  • comprixcs07
  • comprixcs08
  • comprixge
  • COMPRIXGENP2
  • ECVMA2_0P2
  • ECVMA2_AS1AP2
  • ECVMA2_AS1P1
  • ECVMA2_AS1P2
  • ECVMA2_AS02CP1
  • ECVMA2_AS2AP1
  • ECVMA2_AS2AP2
  • ECVMA2_AS2BP1
  • ECVMA2_AS2E1P2
  • ECVMA2_AS2E2P2
  • ECVMA2_AS03P1
  • ECVMA2_AS4AP2
  • ECVMA2_AS4BP2
  • ECVMA2_AS4CP2
  • ECVMA2_AS4DP2
  • ECVMA2_AS4EP2
  • ECVMA2_AS4FP2
  • ECVMA2_AS4GP2
  • ECVMA2_AS4HP2
  • ECVMA2_AS4IP2
  • ECVMA2_AS4JP2
  • ECVMA2_AS4KLP2
  • ECVMA2_AS05P2
  • ECVMA2_AS07P2
  • ECVMA2_AS08AP2
  • ECVMA2_AS08BP2
  • ECVMA2_MS00P1
  • ECVMA2_MS01P1
  • ECVMA2_MS02P1
  • ECVMA2_MS04P1
  • ECVMA2_MS05AP1
  • ECVMA2_MS05BP1
  • ECVMA2_MS06P1
  • ECVMA2_MS07P1
  • ECVMA2_MS08P1
  • ECVMA2_MS09AP1
  • ECVMA2_MS09BP1
  • ECVMA2_MS09CP1
  • ECVMA2_MS10P1
  • ECVMA2_MS11AP1
  • ECVMA2_MS11AP2
  • ECVMA2_MS11BP1
  • ECVMA2_MS11BP2
  • ECVMA2_MS11CP1
  • ECVMA2_MS11DP1
  • ECVMA2_MS11EP1
  • ECVMA2_MS12P1
  • ECVMA2_MS12P2
  • ECVMA2_MS13AP1
  • ECVMA2_MS13AP2
  • ECVMA2_MS13BP1
  • ECVMA2_MS13BP2
  • ECVMA2_MS14P1
  • ECVMA2_MS14P2
  • ECVMA2_MS15P1
  • ECVMA2_MS16P1
  • ECVMA2_MS17P2
  • ECVMA2_MS18P2
  • ECVMA2014_P1P2_Conso
  • ECVMA2014_P1P2_ConsoMen
  • ECVMA2014welfare_T1c
  • ecvma2_anthro
  • ecvma2_as2dp2
  • ecvma2_ms03p1

Montant du revenu pour cet emploi (MS04Q32A)

Data file: ECVMA2_MS04P1

Overview

Valid: 988
Invalid: 25591
Minimum: 0
Maximum: 99999999
Type: Discrete
Decimal: 0
Start: 77
End: 84
Width: 8
Range: 0 - 99999999
Format: Numeric

Questions and instructions

Literal question
Quel a été le revenu de [NOM] pour cet emploi au cours des 12 derniers mois?
- MONTANT EN FCFA
Categories
Value Category Cases
0 76
7.7%
25 1
0.1%
100 2
0.2%
150 1
0.1%
200 1
0.1%
250 2
0.2%
300 3
0.3%
500 7
0.7%
750 3
0.3%
1000 27
2.7%
1250 1
0.1%
1500 22
2.2%
1700 1
0.1%
2000 24
2.4%
2400 1
0.1%
2500 10
1%
3000 17
1.7%
3500 6
0.6%
3800 1
0.1%
4000 8
0.8%
4500 2
0.2%
5000 21
2.1%
6000 6
0.6%
7000 8
0.8%
7500 3
0.3%
8000 1
0.1%
9000 2
0.2%
10000 15
1.5%
10600 1
0.1%
12000 6
0.6%
13500 2
0.2%
15000 18
1.8%
16000 1
0.1%
16500 1
0.1%
17000 1
0.1%
18000 2
0.2%
20000 15
1.5%
22500 1
0.1%
25000 14
1.4%
27500 1
0.1%
28000 3
0.3%
30000 40
4%
31250 1
0.1%
32000 1
0.1%
32500 1
0.1%
34000 1
0.1%
35000 5
0.5%
37000 2
0.2%
37980 1
0.1%
39000 2
0.2%
40000 18
1.8%
42000 1
0.1%
43000 2
0.2%
43805 1
0.1%
45000 12
1.2%
48000 2
0.2%
48600 1
0.1%
50000 35
3.5%
51000 1
0.1%
52000 2
0.2%
54000 1
0.1%
54270 1
0.1%
55000 6
0.6%
56000 3
0.3%
58800 1
0.1%
58900 1
0.1%
60000 35
3.5%
63000 2
0.2%
64700 1
0.1%
65000 3
0.3%
66000 1
0.1%
69000 1
0.1%
69900 1
0.1%
70000 19
1.9%
70430 1
0.1%
72000 4
0.4%
73000 1
0.1%
74000 1
0.1%
74390 1
0.1%
74400 1
0.1%
75000 41
4.1%
75100 1
0.1%
76000 1
0.1%
76200 1
0.1%
77000 2
0.2%
77500 1
0.1%
78000 1
0.1%
80000 18
1.8%
81000 1
0.1%
81900 1
0.1%
82500 1
0.1%
83000 1
0.1%
83660 1
0.1%
84500 1
0.1%
85000 8
0.8%
87000 1
0.1%
89625 1
0.1%
90000 12
1.2%
91290 1
0.1%
92200 1
0.1%
95000 3
0.3%
99000 1
0.1%
99600 1
0.1%
100000 36
3.6%
101500 1
0.1%
102000 1
0.1%
102400 1
0.1%
105000 3
0.3%
105200 1
0.1%
106000 1
0.1%
107000 1
0.1%
110000 4
0.4%
110935 1
0.1%
115000 3
0.3%
117000 1
0.1%
119000 1
0.1%
120000 10
1%
120335 1
0.1%
123000 2
0.2%
123200 1
0.1%
124240 1
0.1%
124600 1
0.1%
125000 3
0.3%
125690 1
0.1%
127000 1
0.1%
128000 1
0.1%
129000 1
0.1%
130000 6
0.6%
132000 2
0.2%
135000 3
0.3%
140000 3
0.3%
140350 1
0.1%
145000 2
0.2%
147000 1
0.1%
148000 1
0.1%
149000 1
0.1%
150000 28
2.8%
152000 1
0.1%
155000 1
0.1%
157000 2
0.2%
160000 6
0.6%
162000 1
0.1%
165000 1
0.1%
168000 2
0.2%
169000 1
0.1%
170000 5
0.5%
172000 1
0.1%
175000 2
0.2%
177500 1
0.1%
178000 3
0.3%
180000 7
0.7%
182000 1
0.1%
185000 1
0.1%
187000 1
0.1%
190000 2
0.2%
193500 1
0.1%
195000 1
0.1%
197000 2
0.2%
199325 1
0.1%
200000 20
2%
203000 1
0.1%
205000 1
0.1%
207400 1
0.1%
208000 2
0.2%
210000 4
0.4%
216000 1
0.1%
220000 1
0.1%
224000 1
0.1%
225000 2
0.2%
226000 1
0.1%
230000 4
0.4%
236800 1
0.1%
240000 4
0.4%
240365 1
0.1%
245000 1
0.1%
250000 19
1.9%
255000 1
0.1%
259000 1
0.1%
270000 1
0.1%
275000 2
0.2%
275325 1
0.1%
278000 1
0.1%
280000 2
0.2%
280200 1
0.1%
282215 1
0.1%
287000 1
0.1%
296000 1
0.1%
300000 13
1.3%
303000 2
0.2%
310000 1
0.1%
315000 1
0.1%
320000 2
0.2%
323000 1
0.1%
340000 3
0.3%
350000 9
0.9%
360000 2
0.2%
363000 1
0.1%
400000 9
0.9%
450000 1
0.1%
500000 11
1.1%
520000 1
0.1%
600000 2
0.2%
640000 1
0.1%
700000 2
0.2%
750000 2
0.2%
768000 1
0.1%
800000 2
0.2%
900000 1
0.1%
940000 1
0.1%
1081395 1
0.1%
1166000 1
0.1%
1200000 3
0.3%
1500000 1
0.1%
1542000 1
0.1%
3600000 1
0.1%
6000000 1
0.1%
99999998 NSP 2
0.2%
99999999 Manquant 7
0.7%
Sysmiss 25591
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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