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LFS

LFS 2023

Mongolia, 2023
Get Microdata
Reference ID
DDI-MNG-NSO-ENG-LFS-2023-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
5565
Downloads
12
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data collection
  • Metadata production
  • Identification

    Survey ID number

    DDI-MNG-NSO-ENG-LFS-2023-v1.0

    Title

    LFS 2023

    Country
    Name
    Mongolia
    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.

    Unit of Analysis

    Household and all household members.

    Coverage

    Universe

    Sample survey data [ssd]

    Producers and sponsors

    Primary investigators
    Name Affiliation
    National Statistical of Office Parliament
    Producers
    Name Affiliation
    National Statistical of Office Parliament

    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.

    Weighting

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

    Data collection

    Dates of Data Collection
    Start End Cycle
    2023-01-01 2023-12-31 Monthly
    Time Method

    Start End Cycle
    2023-01-02 2023-12-30 every month

    Mode of data collection
    • Face-to-face [f2f] 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.

    Metadata production

    DDI Document ID

    DDI-MNG-NSO-ENG-LFS-2023-v1.0

    Producers
    Name Abbreviation Affiliation
    National Statistical of Office NSO Parlament
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