Annual Real GDP & GNI: 1970 to Present

Data as of 2023

Long time series of annual real gross domestic product (GDP) and gross national income (GNI), including per capita values.

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Real GDP

Real GNI

Real GDP per Capita

Real GNI per Capita

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). Gross national income (GNI) is derived as GDP plus net factor incomes from abroad. For a full description of the methodology, please refer to the Technical Notes.

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

GDP and GNI values for 2022 and 2023 may be revised in future releases. Furthermore, per capita values will be revised in parallel with any published revisions to Malaysia's population data.

Publication(s) using this data


Dataset description

Long time series of annual real gross domestic product (GDP) and gross national income (GNI), including per capita values.

Variable definitions
  • Series Type
  • Date
  • GDP
  • GNI
  • GDP per Capita
  • GNI per Capita
Last updated:

17 May 2024, 12:00

Next update:

16 May 2025, 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 copy of the license is available Here.


Full Dataset (CSV)

Full Dataset (CSV)

Recommended for individuals seeking an Excel-friendly format.


Full Dataset (Parquet)

Full Dataset (Parquet)

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)