Sales Value

Data as of 30 Jun 2023, 23:59

Amount in RM

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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.

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, June 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

This publication highlights the Performance of Wholesale & Retail Trade encompassing the Motor Vehicles, Wholesale Trade and Retail Trade sub-sectors.

Variable definitions
Last updated:

09 Aug 2023, 12:00

Next update

11 Sept 2023, 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.


Image (PNG)

Image (PNG)

Suitable for general digital use.


Vector Graphic (SVG)

Vector Graphic (SVG)

Suitable for high quality prints or further image editing.


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)
jata negara
Government of Malaysia

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