MSIC
Data as of 31 Dec 2008, 23:59This 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)
Name in Dataset | Variable | Definition |
|---|---|---|
digits (Integer) | Digits | Number of digits; this column can be used as a filter if you only want to keep 2 digit codes, for example |
section (String) | Section | 1-digit code; unlike the 2 to 5-digit codes, this is a letter rather than than a number |
division (String) | Division | 2-digit code; please ensure that you read this column as a string, because the (intentional) leading zeroes will be dropped if read as an integer (e.g. upon opening in Microsoft Excel) |
group (String) | Group | 3-digit code, with dashes where not applicable (e.g. for rows providing 2-digit definitions) |
class (String) | Class | 4-digit code, with dashes where not applicable (e.g. for rows providing 2 and 3-digit definitions) |
item (String) | Item | 5-digit code, with dashes where not applicable (e.g. for rows providing 2, 3, and 4-digit definitions) |
desc_en (String) | Description (EN) | Description for the code, in English |
exclude_en (String) | Exclusions (EN) | List of inclusions, in English, provided for avoidance of doubt |
include_en (String) | Inclusions (EN) | List of exclusions, in English, provided for avoidance of doubt |
desc_bm (String) | Description (BM) | Description for the code, in Malay |
exclude_bm (String) | Exclusions (BM) | List of inclusions, in Malay, provided for avoidance of doubt |
include_bm (String) | Inclusions (BM) | List of exclusions, in Malay, provided for avoidance of doubt |
Last updated:
31 Dec 2008, 23:59
Next update:
N/A
Data source(s)
- Department of Statistics Malaysia
URLs to dataset
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)
Recommended for individuals seeking an Excel-friendly format.
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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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