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    Home / Central Data Catalog / NER_2014_ECVMA-II_V02_M / variable [F20]
central

National Survey on Household Living Conditions and Agriculture 2014, Wave 2 Panel Data

Niger, 2014 - 2015
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Reference ID
NER_2014_ECVMA-II_v02_M
Producer(s)
Survey and Census Division
Metadata
DDI/XML JSON
Created on
Jan 18, 2017
Last modified
Mar 29, 2019
Page views
74191
Downloads
3290
  • 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

UML (AS02EQ31B)

Data file: ECVMA2_AS2E2P2

Overview

Valid: 118
Invalid: 5108
Minimum: 1
Maximum: 99
Type: Discrete
Decimal: 0
Start: 188
End: 189
Width: 2
Range: 1 - 99
Format: Numeric

Questions and instructions

Literal question
Quelle quantité de ce que vous avez en stock envisagez-vous de vendre?
- UML
Categories
Value Category Cases
1 Kilogramme 12
10.2%
2 Charrete 0
0%
3 Grenier 1
0.8%
4 Sac 57
48.3%
5 Bassine 11
9.3%
6 Panier 4
3.4%
7 Calebasse 4
3.4%
8 Moude 5
4.2%
9 Gerbe 3
2.5%
10 Autre 20
16.9%
99 Manquant 1
0.8%
Sysmiss 5108
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 en stock en UML de la colonne suivante
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