Index of Wholesale & Retail Trade

Data as of Dec 2023

Performance of the wholesale & retail trade, including the motor vehicles subsector.

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Wholesale Trade

Motor Vehicles

Retail Trade

How is this data produced?

The data covers all establishments engaged in Wholesale & Retail Trade activities in Malaysia, including the trade of Motor Vehicles. The data reported is based on the Profit and Loss Account / Financial Statement and other supporting documents for the reference year. In cases where the account is not finalized or not available, the data is based on the best estimates. For a full description of the methodology, please refer to the Technical Notes.

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

This data is produced by DOSM as part of Malaysia's official statistics. It should be interpreted carefully if used in further analysis.

Publication(s) using this data

Wholesale & Retail Trade, Dec 2023, the latest edition of the monthly wholesale and retail trade statistics published by DOSM. OpenDOSM also features a dashboard on wholesale and retail trade.


Dataset description

Performance of the wholesale & retail trade, including the motor vehicles subsector.

Variable definitions
  • Variable
  • Date
  • Overall
  • Wholesale Trade
  • Retail Trade
  • Motor Vehicles
Last updated:

08 Feb 2024, 12:00

Next update:

13 Mar 2024, 12:00

Data source(s)
  • DOSM

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.


Full Dataset (CSV)

Full Dataset (CSV)

Recommended for individuals seeking an Excel-friendly format.


Full Dataset (Parquet)

Full Dataset (Parquet)

Recommended for data scientists seeking to work with data via code.



Connect directly to the data with Python.

# If not already installed, do: pip install pandas fastparquet import pandas as pd URL_DATA = '' 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 = "" response_json = requests.get(url=url).json() pprint.pprint(response_json)
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Department of Statistics Malaysia

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