Real median and mean monthly salaries & wages of employees who are Malaysian citizens by state, at 2010 prices.
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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:
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.
Real salaries & wages are nominal salaries & wages adjusted for inflation using the Consumer Price Index (CPI) of each state, and are expressed at 2010 prices: real salaries & wages = nominal salaries & wages x CPI (2010) / CPI (year).
The Salaries & Wages Survey Report, 2025, the latest edition of the annual salaries & wages statistics published by DOSM.
Real median and mean monthly salaries & wages of employees who are Malaysian citizens by state, at 2010 prices.
Name in Dataset | Variable | Definition |
|---|---|---|
state (Categorical) | State | One of 16 states, or 'Malaysia' for the national figure |
date (Date) | Date | The date in YYYY-MM-DD format, with MM-DD set to 01-01 since the data is at annual frequency |
wages_median_real (Integer, RM) | Real Median Salaries & Wages | Median monthly salaries & wages at 2010 prices |
wages_mean_real (Integer, RM) | Real Mean Salaries & Wages | Mean monthly salaries & wages at 2010 prices |
21 Sept 2026, 12:00
30 Sept 2027, 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.
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Full Dataset (Parquet)
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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/wages_real_state_citizen.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=wages_real_state_citizen&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)Department of Statistics Malaysia
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