Monthly Trade by SITC Section

Data as of Jul 2024

Monthly exports and imports by SITC commodity sections.

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Table

Exports

Imports

How is this data produced?

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.

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

Data for the most recent two months is provisional and subject to revision in future updates.

Publication(s) using this data

External Trade, July 2024, the latest edition of the monthly trade statistics published by DOSM. OpenDOSM also features a dashboard on trade.

Metadata

Dataset description

Monthly exports and imports by SITC commodity sections.

Variable definitions
  • Date
  • SITC Section
  • Exports
  • Imports
Last updated:

28 Aug 2024, 12:00

Next update:

27 Sept 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/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)

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=trade_sitc_1d&limit=3" response_json = requests.get(url=url).json() pprint.pprint(response_json)