LFS

LFS 2022

Mongolia, 2022
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Reference ID
DDI-MNG-NSO-ENG-LFS-2022-v1.0
Producer(s)
National Statistical of Office
Collections
LABOUR FORCE SURVEY
Metadata
DDI/XML JSON
Created on
Oct 16, 2025
Last modified
Nov 04, 2025
Page views
5110
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  • Identification
  • Version
  • Scope
  • Producers and sponsors
  • Sampling
  • Data collection
  • Data processing
  • Disclaimer and copyrights
  • Contacts
  • Metadata production

    • Identification

    Survey ID number

    DDI-MNG-NSO-ENG-LFS-2022-v1.0
    Title

    LFS 2022
    Translated Title

    Labour Force Survey 2022
    Country
    Name Country code
    Mongolia MNG
    Series Information

    Mongolia conducted the “Labour Force Survey (LFS)” in 2002-2003, for the first time on a quarterly base. The Law on Statistics of Mongolia is amended and reflected the new article in 1.g, paragraph-7 as "The National Statistics Office is responsible for conducting the Labour force survey in every quarter" on April 23, 2004. Therefore, since 2006, the LFS has been conducting quarterly, summarizing and disseminating the LFS results in statistical bulletins by quarterly basis and its annual report and statistical yearbook.
    The LFS was conducted according to the resolution of resolution concerning statistics of the economically active population, employment, unemployment and underemployment adopted by the 13th International Conference of Labour Statisticians (1982) in 2006-2018. Since 2019, the LFS is conducting by new internationally accepted methodologies about according to the resolution concerning statistics of work, employment and labour underutilization adopted by the 19th International Conference of Labour Statisticians.
    Abstract

    The LFS is aimed to generate official labor statistics required for implementation of economic and social planning and monitoring and LFS can represent the national, capital city and province levels.
    The LFS is the main source to determine the size and structure of the labor market and its changes in short-term. Generating a comprehensive dataset is significant for analysis, such as characteristics of the labour force, employment, decent work, informal employment, and labour underutilization.
    In addition, at the international level, LFS serve as the primary source for monitoring global commitments on the world of work, including under Goal 8 (Decent Work and Economic Growth) and Goal 5 (Gender Equality) of the 2030 Agenda for Sustainable Development.
    Kind of Data

    Sample survey data [ssd]
    Unit of Analysis

    Household and all household members.

    Version

    Version Date

    2023-06-01

    Scope

    Notes

    Mongolia

    Producers and sponsors

    Primary investigators
    Name Affiliation
    National Statistical of Office Parlament

    Sampling

    Sampling Procedure

    Since 2019, the NSO conducting the LFS by new sampling design of the rotating panel survey design. A total of 15520 households, distributed into 3880 households per quarterly. For more details, see the report of the LFS-2022.

    Data collection

    Dates of Data Collection
    Start End Cycle
    2022-01-02 2022-12-30 every month
    Time periods
    Start date End date Cycle
    2022-01-02 2022-12-30 every quarter and annual
    Mode of data collection
    • Face-to-face [f2f]
    Data Collection Notes

    For the data collection of this survey, we used a modern technology that fully automated paper technology is tablet technology.
    In the first stage of data collection, the enumerators visited the selected households, met with each member aged 15 and over /face to face/ and through conversation and questioning by tablet. After data collection, supervisors and enumerators are checking, encode and transmit to the NSO's central server via the Internet. Upon receiving data in a central server, a survey team in NSO made logical and other checks for all data transmitted from the supervisors of local units and additional clarifications were received from the enumerators through the supervisors of local units.

    Data processing

    Data Editing

    The data collected using the CSPro software and used the SPSS software to process and analyze survey results.

    Disclaimer and copyrights

    Copyright

    NSO 2023

    Contacts

    Contacts
    Name Affiliation URL
    The National Statistics Office Parlament 1212.mn

    Metadata production

    DDI Document ID

    DDI-MNG-NSO-ENG-LFS-2022-v1.0
    Producers
    Name Abbreviation Affiliation Role
    Nafional Statistics Office NSO Parlament Documentation study
    Date of Metadata Production

    2023-06-01

    Metadata version

    DDI Document version

    DDI-MNG-NSO-ENG-LFS-2022-v1.0
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