Employed > Employees

Data as of 31 Jul 2023, 23:59

Thousands of people ('000 people)

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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, June 2023, the latest edition of the monthly labour force statistics published by DOSM. OpenDOSM also features a dashboard on the labour force.


Dataset description

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

Variable definitions
Last updated:

08 Sept 2023, 12:00

Next update

10 Oct 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.


Image (PNG)

Image (PNG)

Suitable for general digital use.


Vector Graphic (SVG)

Vector Graphic (SVG)

Suitable for high quality prints or further image editing.


Full Dataset (CSV)

Full Dataset (CSV)

Recommended for individuals seeking an Excel-friendly format.


Full Dataset (Parquet)

Full Dataset (Parquet)

Recommended for data scientists seeking to work with data via code.



Connect directly to the data with Python.

# If not already installed, do: pip install pandas fastparquet import pandas as pd URL_DATA = 'https://storage.dosm.gov.my/labour/labourforce_monthly.parquet' df = pd.read_parquet(URL_DATA) if 'date' in df.columns: df['date'] = pd.to_datetime(df['date']) print(df)

Sample OpenAPI query

The following code is an example of how to make an API query to retrieve the data catalogue mentioned above. You can use different programming languages by switching the code accordingly. For a complete guide on possible query parameters and syntax, please refer to the official Open API documentation.
import requests import pprint url = "https://api.data.gov.my/data-catalogue?id=labourforce_monthly&limit=3" response_json = requests.get(url=url).json() pprint.pprint(response_json)
jata negara
Government of Malaysia

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