Monthly Trade by SITC Section

Data as of Mar 2025

Monthly exports and imports by SITC commodity sections.

Date

SITC Section

Exports

Imports

2000-01-01overall25,431,356,82920,823,323,043
2000-02-01overall27,283,174,25822,067,338,380
2000-03-01overall31,988,645,78824,984,873,231
2000-04-01overall28,902,713,73325,500,475,032
2000-05-01overall30,269,492,38126,032,155,365
2000-06-01overall31,762,585,99826,992,274,608
2000-07-01overall32,704,770,28028,657,527,281
2000-08-01overall34,007,709,51729,089,502,799
2000-09-01overall34,941,150,36228,742,466,416
2000-10-01overall32,971,839,57427,281,317,008
2000-11-01overall32,778,559,82326,765,489,297
2000-12-01overall30,228,316,95524,522,125,807
2001-01-01overall28,054,917,09225,014,292,247
2001-02-01overall28,434,980,98522,202,158,380
2001-03-01overall29,585,276,90125,426,231,891
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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, Dec 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 Apr 2025, 12:00

Next update:

28 May 2025, 12:00

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.

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Data
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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)
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Department of Statistics Malaysia

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