MSIC

Data as of 31 Dec 2008, 23:59

This table provides a complete lookup for the MSIC (Malaysian Standard Industrial Classification) 2008, as applied and used in data publications in Malaysia. The MSIC is primarily used by the Department of Statistics Malaysia (DOSM), for the purpose of categorising economic data, such as during the production of GDP data.

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How is this data produced?

The MSIC was adapted from the ISIC published by the United Nations Statistics Division, which is used as a global reference for the classification of economic activities.

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

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Publication(s) using this data

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Metadata

Dataset description

This table provides a complete lookup for the MSIC (Malaysian Standard Industrial Classification) 2008, as applied and used in data publications in Malaysia. The MSIC is primarily used by the Department of Statistics Malaysia (DOSM), for the purpose of categorising economic data, such as during the production of GDP data.

Variable definitions
  • Digits
  • Section
  • Division
  • Group
  • Class
  • Item
  • Description (EN)
  • Exclusions (EN)
  • Inclusions (EN)
  • Description (BM)
  • Exclusions (BM)
  • Inclusions (BM)
Last updated:

31 Dec 2008, 23:59

Next update:

N/A

Data source(s)
  • Department of Statistics Malaysia
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.

Download

Data
Full Dataset (CSV)

Full Dataset (CSV)

Recommended for individuals seeking an Excel-friendly format.

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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/dictionaries/msic.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=msic&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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