Headline Wholesale & Retail Trade

Data as of Feb 2024

Overall performance of the wholesale & retail trade subsectors, covering sales value and volume.

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Table

Sales Value

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, Feb 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

Overall performance of the wholesale & retail trade subsectors, covering sales value and volume.

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

08 Apr 2024, 12:00

Next update:

09 May 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)

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

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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.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&limit=3" response_json = requests.get(url=url).json() pprint.pprint(response_json)