Overview

Identification

COUNTRY

Mongolia

TITLE

LFS 2020
 

STUDY TYPE

Labor Force Survey [hh/lfs]
 

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. We conducted LFS with Child labour survey in 2002-2003, 2006-2007, 2011-2012 years, and with Informal employment survey in 2007-2008, 2016 years.

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.
 

Version

VERSION DESCRIPTION

Version 1.0
 

Overview

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.

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.
 

UNITS OF ANALYSIS

Household, househod members
 

Producers and Sponsors

PRIMARY INVESTIGATOR(S)

Metadata Production

METADATA PRODUCED BY

DATE OF METADATA PRODUCTION

2021-08-10

DDI DOCUMENT ID

DDI-MNG-NSO-EN-LFS-2020-v1.0

Sampling

Sampling Procedure

Since 2019, the NSO conducting the LFS by new sampling design of the rotating panel survey design. A total of 13920 households, distributed into 3480 households per quarterly. For more details, see the report of the LFS-2020.

Data Collection

Data Collection Dates

Time Periods

Data Collection Mode

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 CSPro7.3 software and used the SPSS 21 software to process and analyze survey results.