Annual Salaries & Wages by Occupation & Sex
Data as of 2025Number of recipients, median and mean monthly salaries & wages of employees who are Malaysian citizens by occupation and sex.
0 views·0 downloads
How is this data produced?
This data is produced from the Salaries & Wages Survey (SWS), which DOSM conducts alongside the Labour Force Survey (LFS) through personal interviews with households in private living quarters, covering urban and rural areas in all states.
Salaries & wages refer to the monthly wage rate received by employees in the public and private sectors from their principal job in the reference month, comprising:
- basic wages
- cost-of-living allowances
- other guaranteed and regularly paid allowances in cash or in kind
- overtime payments
They exclude bonuses, gratuities, family allowances and social security payments made by employers. The statistics cover employees aged 15-64; employers, own-account workers, unpaid family workers, domestic workers employed by households and casual workers are not covered.
Publication(s) using this data
The Salaries & Wages Survey Report, 2025, the latest edition of the annual salaries & wages statistics published by DOSM.
Metadata
Dataset description
Number of recipients, median and mean monthly salaries & wages of employees who are Malaysian citizens by occupation and sex.
Variable definitions
- Date
- Sex
- Occupation
- Recipients
- Median Salaries & Wages
- Mean Salaries & Wages
Name in Dataset | Variable | Definition |
|---|---|---|
date (Date) | Date | The date in YYYY-MM-DD format, with MM-DD set to 01-01 since the data is at annual frequency |
sex (Categorical) | Sex | Either both sexes ('both'), male ('male') or female ('female') |
occupation (Categorical) | Occupation | All occupations ('overall') or one of the 9 MASCO major groups: managers ('managers'), professionals ('professionals'), technicians and associate professionals ('technicians'), clerical support workers ('clerical'), service and sales workers ('service_sales'), skilled agricultural, forestry, livestock and fishery workers ('agriculture'), craft and related trades workers ('craft'), plant and machine operators and assemblers ('operators'), or elementary occupations ('elementary') |
recipients (Float) | Recipients | Number of salaries & wages recipients, in thousands |
wages_median (Integer, RM) | Median Salaries & Wages | Median monthly salaries & wages; half of employees earn less than this amount |
wages_mean (Integer, RM) | Mean Salaries & Wages | Mean monthly salaries & wages, i.e. total salaries & wages divided by the number of recipients |
Last updated:
21 Sep 2026, 12:00
Next update:
30 Sep 2027, 12:00
Data source(s)
- Department of Statistics Malaysia
URLs to dataset
License
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.
Download
Data
Full Dataset (CSV)
Recommended for individuals seeking an Excel-friendly format.
0
Full Dataset (Parquet)
Recommended for data scientists seeking to work with data via code.
0
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/wages_occupation.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=wages_occupation&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
© 2026 Public Sector Open Data