Seasonally adjusted monthly principal labour force statistics, including unemployment and participation rates.
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This data is produced based on the Labour Force Survey (LFS), which is designed to collect representative data on the labour force at national and state level. Consistency in methodology has been maintained to ensure that the data is comparable over time. Survey findings are a monthly, quarterly and annual basis. For a full description of the methodology, in particular the seasonal adjustment methodology, please refer to the Technical Notes.
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.
The Labour Force Report, Aug 2024, the latest edition of the monthly labour force statistics published by DOSM. OpenDOSM also features a dashboard on the labour force.
Seasonally adjusted monthly principal labour force statistics, including unemployment and participation rates.
Name in Dataset | Variable | Definition |
---|---|---|
date (Date) | Date | The date in YYYY-MM-DD format, with DD set to 01 since the data is at monthly frequency |
lf (Float) | Labour Force Size | Seasonally adjusted number (in thousands) of employed and unemployed individuals. This figure also represents the number of people participating in the labour force. |
lf_employed (Float) | Employed Persons | Seasonally adjusted number (in thousands) of people who worked at least one hour for pay, profit or family gain, in thousands of people |
lf_unemployed (Float) | Unemployed Persons | Seasonally adjusted number (in thousands) of people who did not work but were looking for work or available to work |
u_rate (Float) | Unemployment Rate | Seasonally adjusted ratio of unemployed to labour force size |
p_rate (Float) | Participation Rate | Seasonally adjusted ratio of the labour force size to the working-age (15-64) population |
10 Oct 2024, 12:00
08 Nov 2024, 12:00
This data is made open under the Creative Commons Attribution 4.0 International License (CC BY 4.0). A copy of the license is available Here.
Full Dataset (CSV)
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Full Dataset (Parquet)
Recommended for data scientists seeking to work with data via code.
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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/lfs_month_sa.parquet'
df = pd.read_parquet(URL_DATA)
if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
print(df)
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=lfs_month_sa&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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