Monthly Formal Sector Wage Percentiles

Data as of Jun 2026

Monthly wages of formal employees who are Malaysian citizens at the 10th to 90th percentiles.

0 views·0 downloads

Table

Wage Percentiles

How is this data produced?

Conceptually, formal employees are persons who work under a contract of service or apprenticeship with an employer and receive remuneration for the work done. Non-standard employment, such as the self-employed, gig workers, own-account workers and unpaid family workers, is not covered.

Consequently, data on formal sector wages is compiled from administrative records, primarily the mandatory retirement savings contributions to the Employees Provident Fund (EPF) and social security contributions to the Social Security Organisation (SOCSO).

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

The most recent 15 months of data are subject to revision if more complete contribution data are received.

Publication(s) using this data

The Employee Wages Statistics (Formal Sector) Report, Second Quarter 2026, the latest edition of the quarterly formal sector wages statistics published by DOSM.

Metadata

Dataset description

Monthly wages of formal employees who are Malaysian citizens at the 10th to 90th percentiles.

Variable definitions
  • Date
  • Xth Percentile
Last updated:

27 Oct 2026, 13:00

Next update:

31 Jan 2027, 13:00

Data source(s)
  • Department of Statistics Malaysia
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)

Full Dataset (CSV)

Recommended for individuals seeking an Excel-friendly format.

0

Full Dataset (Parquet)

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/formal_wages_percentile.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=formal_wages_percentile&limit=3" response_json = requests.get(url=url).json() pprint.pprint(response_json)