Quarterly Real GDP

Data as of 2Q 2024

Quarterly gross domestic product (GDP) at constant 2015 prices.

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Real GDP

How is this data produced?

Gross domestic product (GDP) is the total value of goods and services produced within that year, after deducting the cost of goods and services used in production, but before deducting the consumption of fixed capital. In Malaysia, GDP is estimated in compliance with the System of National Accounts (2008).

The values in this dataset are measured at constant 2015 prices, i.e. with price effects removed relative to a base year (2015 = 100). For a full description of the methodology, please refer to the Technical Notes.

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

Values for 2022, 2023 and 2024 may be revised in future releases.

Publication(s) using this data

Gross Domestic Product, 2Q 2024, the latest edition of the quarterly GDP statistics published by DOSM. OpenDOSM also features a dashboard on GDP which enables you to explore Malaysia's GDP data interactively.

Metadata

Dataset description

Quarterly gross domestic product (GDP) at constant 2015 prices.

Variable definitions
  • Series Type
  • Date
  • Value
Last updated:

16 Aug 2024, 12:00

Next update:

15 Nov 2024, 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
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/gdp/gdp_qtr_real.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=gdp_qtr_real&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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