Quarterly: Underemployed (Time-related) > Male

Data as of 31 Mar 2022, 23:59

Thousands of people ('000 people)

How is this data produced?

The Labour Force Survey (LFS) provides statistics on the labour force, employment and unemployment at national and state level, as well as across urban and rural areas. Data from this survey is published on a monthly, quarterly and annual basis. A comprehensive and systematic approach in data collection and processing has been maintained over a period of time in order to obtain comparable time series statistics.

What caveats I should bear in mind when using this data?

The sum of each category may not always equal to the totals shown in related tables because of independent rounding to one decimal place. However, the differences are not obvious.

Publication(s) using this data

Labour Force Report, March 2022, the latest edition of the monthly labour force statistics published by DOSM. OpenDOSM also features a dashboard on the labour force.


Dataset description

The quarterly Labour Force Report presents the statistics of labour force, employment and unemployment obtained from the Labour Force Survey (LFS).

Last updated

11 May 2023, 12:00

Next update

10 Aug 2023, 12:00

Data source(s)
  • DOSM

This data is made open under the Creative Commons Attribution 4.0 International License (CC BY 4.0). A human-readable copy of the license is available Here.



Connect directly to the data with Python.

# If not already installed, do: pip install pandas fastparquet import pandas as pd URL_DATA = '' df = pd.read_parquet(URL_DATA) if 'date' in df.columns: df['date'] = pd.to_datetime(df['date']) print(df)

Department of Statistics Malaysia

© 2023 Department of Statistics Malaysia (DOSM)