This table provides a lookup for codes under the Broad Economic Categories (BEC) classification, as applied and used by publications in Malaysia. The BEC is primarily used by the Department of Statistics Malaysia (DOSM), for instance when categorising and analysing imports by end-use.
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The BEC used in Malaysia is based on the BEC published by the United Nations Statistics Division, which provides a framework for classifying internationally traded goods by their broad economic end-use. The code 000 does not exist in the international version, but is included here for analytical ease to indicate overall values.
This table provides a lookup for codes under the Broad Economic Categories (BEC) classification, as applied and used by publications in Malaysia. The BEC is primarily used by the Department of Statistics Malaysia (DOSM), for instance when categorising and analysing imports by end-use.
Name in Dataset | Variable | Definition |
|---|---|---|
bec_code (String) | BEC Code | 3-digit BEC code; please ensure that you read this column as a string. |
end_use (String) | End Use | Broad end-use category of the goods: Durable assets ('capital'), goods used as inputs to the production of other goods ('intermediate'), consumption goods ('consumption'), dual-use goods ('dual_use'), goods not elsewhere specified ('nes'), or transactions below RM5000 ('below_5000'). |
desc_en (String) | Description (EN) | Description for the code, in English |
desc_bm (String) | Description (BM) | Description for the code, in Malay |
28 Apr 2026, 00:00
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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)
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Full Dataset (Parquet)
Recommended for data scientists seeking to work with data via code.
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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/bec.parquet'
df = pd.read_parquet(URL_DATA)
if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
print(df)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=bec&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)© 2026 Public Sector Open Data