Number of monthly wage recipients
The Salaries & Wages Survey collects data via a stratified two-stage sample design, thus obtaining representative data at the national and state level. The implementation of this survey is based on guidelines and recommendations of the International Labour Organization (ILO) with reference to An Integrated System of Wages Statistics. For more details on the survey design and scope, please refer to the Technical Notes in the latest Salaries & Wages Survey Report.
The primary aim of the survey is to produce statistics on monthly wage and salary recipients. Accordingly, the data does not cover all individuals classified as 'employed' in the Labour Force Survey - the primary categories excluded are employers, own-account workers, and unpaid family workers. Furthermore, except for the data broken down by ethnicity, all data is for Malaysian citizens only.
Salaries & Wages Survey Report, 2021, the latest edition of the annual salaries and wages data published by DOSM.
This dataset presents statistics from the annual Salaries & Wages Report. The implementation of the survey is based on guidelines and recommendations of the International Labour Organization (ILO) with reference to An Integrated System of Wages Statistics.
04 Oct 2022, 12:00
30 Aug 2023, 12:00
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.
Connect directly to the data with Python.
# If not already installed, do: pip install pandas fastparquet import pandas as pd URL_DATA = 'https://storage.googleapis.com/dosm-public-economy/salaries_skill_sex_xs.parquet' df = pd.read_parquet(URL_DATA) if 'date' in df.columns: df['date'] = pd.to_datetime(df['date']) print(df)
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