Wholesale & Retail Trade by Division (2 digit)

Data as of Mar 2024

Performance of the wholesale & retail trade subsectors by MSIC division (2 digit), covering sales value and volume.

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Sales (RM mil)

Volume Index

Volume Index (sa)

How is this data produced?

Statistics on the wholesale and retail trade subsectors are produced using data collected through the Monthly Survey of Wholesale & Retail Trade. The data covers all establishments registered with relevant regulatory bodies which are engaged in wholesale and retail trade activities, and is reported based on the establishments' profit and loss accounts, financial statements, and other valid supporting documents. For a full description of the methodology, please refer to the Technical Notes.

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

In cases where proper financial statements for an establishment are incomplete or unavailable, the data is reported based on the best available estimates.

Publication(s) using this data

Wholesale & Retail Trade, Mar 2024, 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 subsectors by MSIC division (2 digit), covering sales value and volume.

Variable definitions
  • Series Type
  • Date
  • Division
  • Sales Value
  • Volume Index
  • Volume Index (sa)
Last updated:

09 May 2024, 12:00

Next update:

11 Jun 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 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 = 'https://storage.dosm.gov.my/iowrt/iowrt_2d.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=iowrt_2d&limit=3" response_json = requests.get(url=url).json() pprint.pprint(response_json)
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Department of Statistics Malaysia

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