By Activity > Agriculture

Data as of 30 Jun 2023, 23:59

Amount in RM mil; real GDP is produced with reference to a base of 2015.

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How is this data produced?

GDP is the total value of all goods and services produced in a certain period after deducting the cost of goods and services used up in the process of production. This value is before deducting the allowances for consumption of fixed capital i.e. the sum of value added of resident producer in producer's price plus import duties. GDP is equivalent to expenditure on the GDP (in purchaser's price) i.e. the sum of all components of final expenditure on goods and services less imports of goods and services.

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

Quarterly and annual estimates are reconciled where necessary. In situation, whereby the annual and quarterly accounts uses the same data sources, no reconciliation of the quarterly need to be made to fit the annual accounts.

Publication(s) using this data

Gross Domestic Product, 2Q 2023, the latest edition of the quarterly GDP statistics published by DOSM. Bank Negara Malaysia's Quarterly Bulletin, 2Q 2023 also provides a summary of the latest release. For an interactive look, check out OpenDOSM's GDP dashboard.


Dataset description

This publication contains statistics of quarterly national accounts estimates by economic activity and type of expenditure in both current and constant prices at base year 2015.

Variable definitions
Last updated:

18 Aug 2023, 12:00

Next update

11 Nov 2023, 12:00

Data source(s)
  • DOSM

This data is made open under the Creative Commons Attribution 4.0 International License (CC BY 4.0). A human-readable copy of the license is available Here.


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Full Dataset (CSV)

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Full Dataset (Parquet)

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Recommended for data scientists seeking to work with data via code.



Connect directly to the data with Python.

# If not already installed, do: pip install pandas fastparquet import pandas as pd URL_DATA = '' 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 = "" response_json = requests.get(url=url).json() pprint.pprint(response_json)
jata negara
Government of Malaysia

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