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Multi-Tier Framework for Measuring Energy Access 2018

Niger, 2018
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Reference ID
NER_2018_MTF_v01_M
Producer(s)
Energy Sector Management Assistance Program (ESMAP)
Metadata
DDI/XML JSON
Created on
Oct 14, 2021
Last modified
Oct 14, 2021
Page views
19288
Downloads
139
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    NER_2018_MTF_v01_M

    Title

    Multi-Tier Framework for Measuring Energy Access 2018

    Country
    Name Country code
    Niger NER
    Study type

    Other Household Survey [hh/oth]

    Series Information

    The World Bank, with the support of the Energy Sector Management Assistance Program (ESMAP), has launched the Global Survey on Energy Access, which relies on the Multi-Tier Framework (MTF) approach. The first phase is being carried out in 17 countries across Latin America, Africa, and Asia. The survey's objective is to provide more nuanced data on energy access, including access to electricity and cooking solutions. The MTF approach goes beyond the traditional binary measurement of energy access-for example, "having or not having" a connection to electricity, and "using or not using" clean fuels in cook­ing - to capture the multidimensional nature of energy access and the vast range of technologies and sources that can provide energy access, while accounting for the large differences in user experiences. The MTF survey provides detailed household energy data for governments, development partners, the private sector, non-governmental organizations, investors, and service providers.

    Abstract

    The MTF survey is a global baseline survey on household access to electricity and clean cooking, which goes beyond the binary approach to look at access as a spectrum of service levels experienced by households. The resulting dataset contains responses from households to questions on experiences concerning their electricity services and cooking practices, as well as questions on their basic socioeconomic factors, such as age, gender, education, expenditure, and health.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Households

    Version

    Version Description

    Version 01: Anonymous raw dataset for public distribution

    Version Date

    2020-06-01

    Version Notes

    This dataset is the raw dataset provided by the survey firm, without any personal information, such as name.

    Scope

    Notes

    Household characteristics, access to electricity services and specific experiences, willingness to pay for Grid or Off-grid connection, fuel consumption, cooking equipment, assets, expenditure, time use, health, attitudes, economic shocks.

    Coverage

    Geographic Coverage

    National coverage

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Energy Sector Management Assistance Program (ESMAP) World Bank

    Sampling

    Sampling Procedure

    Sample size of 4071. Stratified random sampling, with equal allocation between urban and rural areas and equal allocation between grid-user and non-user households. Nationally representative sample. For details on sampling, please refer to the sampling strategy document.

    Survey instrument

    Questionnaires

    Downloadable copy available.

    Data collection

    Dates of Data Collection
    Start End
    2018-02-03 2018-04-02
    Data Collectors
    Name Affiliation
    Institut National de la Statistique du Niger National Institute of Statistics

    Data Access

    Access conditions

    Public use

    Citation requirements

    Energy Sector Management Assistance Program, World Bank. Multi-Tier Framework for Measuring Energy Access - Niger Household Survey (2018).

    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.

    Copyright

    (c) 2020, The World Bank

    Contacts

    Contacts
    Name Affiliation Email
    Lidia Panarello World Bank lpanarello@worldbank.org

    Metadata production

    DDI Document ID

    DDI_NER_2018_MTF_v01_M

    Producers
    Name Affiliation Role
    Development Economics Data Group World Bank Group Documentation of the survey
    Date of Metadata Production

    2021-03-09

    Metadata version

    DDI Document version

    Version 01 (March 2021).

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