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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NER_2014-2015_ECVMA-W2_V01_EN_M_V01_A_OCS
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
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data collection
  • Data processing
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    NER_2014-2015_ECVMA-W2_v01_EN_M_v01_A_OCS

    Title

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

    Country
    Name Country code
    Niger NER
    Study type

    Living Standards Measurement Study [hh/lsms]

    Series Information

    The ECVMA is the second integrated multi-topic household survey done for the purpose of evaluating poverty and living conditions in Niger under the Living Standards Measurement Study - Integrated Surveys on Agriculture (LSMS-ISA) program. It is a panel survey with the first survey done in 2011.

    Abstract

    Niger is part of the Living Standards Measurement Study - Integrated Surveys on Agriculture (LSMS-ISA) program. This program has developed a household level survey with a view to enhancing our knowledge of agriculture in Sub-Saharan Africa, in particular, its role in poverty reduction and the techniques for promoting efficiency and innovation in this sector. To achieve this objective, an innovative model for agricultural data collection in this region will need to be developed and implemented. To this end, activities conducted in the future will be supported by four main pillars: a multisectoral framework, institutional integration, analytical capacity building, and active dissemination.

    First, agricultural statistical data collection must be part of an expanded and multisectoral framework that goes beyond the rural area. This will facilitate generation of the data needed to formulate effective agricultural policies throughout Niger and in the broader framework of the rural economy.

    Second, agricultural statistical data collection must be supported by a well-adapted institutional framework suited to fostering collaboration and the integration of data sources. By supporting a multi-pronged approach to data collection, this project seeks to foster intersectoral collaboration and overcome a number of the current institutional constraints.

    Third, national capacity building needs to be strengthened in order to enhance the reliability of the data produced and strengthen the link between the producers and users of data. This entails having the capacity to analyze data and to produce appropriate public data sets in a timely manner. The lack of analytical expertise in developing countries perpetuates weak demand for statistical data.

    Consequently, the foregoing has a negative impact on the quality and availability of policy-related analyses. Scant dissemination of statistics and available results has compounded this problem.

    In all countries where the LSMS-ISA project will be executed, the process envisioned for data collection will be a national household survey, based on models of LSMS surveys to be conducted every three years for a panel of households. The sampling method to be adopted should ensure the quality of the data, taking into account the depth/complexity of the questionnaire and panel size, while ensuring that samples are representative.

    The main objectives of the ECVMA are to:

    • Gauge the progress made with achievement of the Millennium Development Goals (MDGs);
    • Facilitate the updating of the social indicators used in formulating the policies aimed at improving the living conditions of the population;
    • Provide data related to several areas that are important to Niger without conducting specific surveys on individual topics ;
    • Provide data on several important areas for Niger that are not necessarily collected in other more specific surveys.
    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Households

    Scope

    Notes

    The scope of the ECVMA includes:

    Household questionnaire

    • Socio-demographic characteristics of household members
    • Education
    • Health
    • Characteristics of the labor market
    • Non-agricultural enterprises
    • Characteristics of the household dwelling
    • Income of houshold members not derived from employment
    • Fund transfers
    • Negative shocks
    • Non food household expenditure
    • Food consumption
    • Food security
    • Aspirations of individuals from 15-25
    • Psychology and attitudes of individuals 15-25
    • Consumption of livestock owned by the household
    • Children between ages 5-15 living outside the household

    Agriculture and livestock questionnaire:

    • Household's access to land
    • Inputs, labor, types of crops and amount of harvest for rainy season agriculture
    • Livestock
    • Tree culture, perennials,
    • Agricultural extension
    • Climate change

    Community Questionnaire:

    • Relative existence and accessibility of social services
    • Economy and infrastructure in the village/neighborhood
    • Health
    • Characteristics of agriculture in the village/neighborhood
    • Livestock and negative shocks which the community has been victim during the last 5 years
    • Community needs for infrastructure
    • Local prices

    Coverage

    Geographic Coverage

    National Coverage

    Producers and sponsors

    Funding Agency/Sponsor
    Name Role
    The World Bank Financial and Technical Assistance
    Other Identifications/Acknowledgments
    Name
    ECVMA Technical Committee

    Sampling

    Weighting

    In order to produce nationally representative statistics with the data, weights or expansion factors need to be applied. The sample weight (hhweight) is found in the constructed data sets (see Annex 2 of the Basic Information Document available under the related materials/documentation tab).

    Data collection

    Dates of Data Collection
    Start End Cycle
    2014-09 2014-11 First Visit
    2015-01-27 2015-03-28 Second Visit

    Data processing

    Data Editing

    The data entry was done in the field simultaneously with the data collection. Each data collection team included a data entry operator who key entered the data soon after it was collected. The data entry program was designed in CSPro, a data entry package developed by the US Census Bureau. This program allows three types of data checks: (1) range checks; (2) intra-record checks to verify inconsistencies pertinent to the particular module of the questionnaire; and (3) inter-record checks to determine inconsistencies between the different modules of the questionnaire.

    The data as distributed represent the best effort to provide complete information. The data were collected and cleaned prior to the construction of the consumption aggregate. Using the same guidelines as were used in 2011, the households that are provided in the data set should have consumption data for both visits. This may not be the case. During the cleaning process, it was found that households had been misidentified which allowed more households to be included in the final consumption aggregate file (see below). The raw data that contains household/item level data that was used to calculate the consumption aggregate has been included in the distribution file.There are 3,614 households and 26,579 individuals in the data.

    Data Access

    Access authority
    Name
    National Institute of Statistics
    Confidentiality
    Is signing of a confidentiality declaration required? Confidentiality declaration text
    yes Before being granted access to the dataset, all users have to formally agree:

    1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the data depositor.
    2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified on public use data files.
    3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately brought to the attention of the data depositor.
    Access conditions

    Public use files, accessible to all

    Citation requirements

    Use of the dataset must be acknowledged using a citation which would include:

    • the identification of the Primary Investigator
    • the title of the survey (including country, acronym and year of implementation)
    • the survey reference number
    • the source and date of download

    Example:
    Niger National Institute of Statistics. National Survey on Household Living Conditions and Agriculture (ECVMA) 2014. Ref. NER_2014_ECVMA_v02_M. Dataset downloaded from [url] on [date].

    Disclaimer and copyrights

    Disclaimer

    The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.

    Contacts

    Contacts
    Name URL
    The World Bank Microdata Library microdata.worldbank.org

    Metadata production

    DDI Document ID

    DDI_NER_2014-2015_ECVMA-W2_v01_EN_M_v01_A_OCS_FAO

    Producers
    Name Affiliation Role
    Office of Chief Statistician Food and Agriculture Organization Metadata adapted for FAM
    Development Economics Data Group The World Bank Documentation of the DDI

    Metadata version

    DDI Document version

    NER_2014-2015_ECVMA-W2_v01_EN_M_v01_A_OCS_v01

    Back to Catalog
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