Wholesale & Retail Trade by Group (3 digit)

Data as of Mar 2024

Performance of the wholesale & retail trade subsectors by MSIC group (3 digit), covering sales value and volume. The table provides a preview of the full dataset using the latest month of data only.

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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. Furthermore, note that seasonally adjusted volume index data is not provided at group (3 digit) level.

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.

Metadata

Dataset description

Performance of the wholesale & retail trade subsectors by MSIC group (3 digit), covering sales value and volume. The table provides a preview of the full dataset using the latest month of data only.

Variable definitions
  • Series Type
  • Date
  • Group
  • Sales Value
  • Volume Index
Last updated:

09 May 2024, 12:00

Next update:

11 Jun 2024, 12:00

Data source(s)
  • DOSM
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.

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Data
Full Dataset (CSV)

Full Dataset (CSV)

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Full Dataset (Parquet)

Full Dataset (Parquet)

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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_3d.parquet' df = pd.read_parquet(URL_DATA) if 'date' in df.columns: df['date'] = pd.to_datetime(df['date']) print(df)

Sample OpenAPI query

This data catalog is not available through OpenAPI as the nature of the data makes it unsuitable for API access. For the full dataset, please use the provided download link as shown in the above section.

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Department of Statistics Malaysia

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