Monthly exports and imports by SITC commodity sections.
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This dataset presents monthly trade data for Malaysia, broken down by SITC section. The SITC classification is a widely used international system for classifying traded goods and services. For a full description of the methodology, please refer to the Technical Notes.
Data for the most recent two months is provisional and subject to revision in future updates.
External Trade, July 2024, the latest edition of the monthly trade statistics published by DOSM. OpenDOSM also features a dashboard on trade.
Monthly exports and imports by SITC commodity sections.
Name in Dataset | Variable | Definition |
---|---|---|
date (Date) | Date | The date in YYYY-MM-DD format, with DD set to 01 since the data is at monthly frequency |
section (Categorical) | SITC Section | SITC section (from 0 to 9) or 'overall' |
exports (Float) | Exports | The value of exports in RM millions. |
imports (Float) | Imports | The value of imports in RM millions. |
28 Aug 2024, 12:00
27 Sept 2024, 12:00
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/trade/trade_sitc_1d.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=trade_sitc_1d&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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