Annual Federal Government Revenue

Data as of 2022

Annual Federal Government revenue from direct taxes, indirect taxes, non-tax sources, as well as non-revenue receipts.

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Value (RM mil)

How is this data produced?

This data is produced by the Accountant-General's Department in compliance with the Malaysian Public Sector Accounting Standards and the IMF's Dissemination Standards. A few definitional nuances should be noted:

  • Individual income taxes include collection of income taxes without codes which will eventually be appropriately classified.
  • Prior to 2007, the value for other direct taxes includes revenue from the real property gains tax.
  • Collection of revenue under the goods and services tax began on 1 April 2015.
  • Effective 1 January 2000, the values for indirect sales tax includes revenue from the sales tax on petroleum and petroleum products, which replaced the import and excise duties on these products.
  • Other indirect taxes include betting, sweepstakes and gaming taxes, as well as collection of revenue without codes which will eventually be appropriately classified.
  • The value for non-tax interest and returns on investment includes profits from PETRONAS and Bank Negara Malaysia.
  • The value for other non-tax revenue includes services fees, fines, and penalties.

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

Numbers may not add up due to rounding during derivation.

Publication(s) using this data

Metadata

Dataset description

Annual Federal Government revenue from direct taxes, indirect taxes, non-tax sources, as well as non-revenue receipts.

Variable definitions
  • Date
  • Category
  • Variable
  • Value (RM mil)
Last updated:

30 Nov 2023, 15:00

Next update:

29 Feb 2024, 15:00

Data source(s)
  • JANM
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.data.gov.my/publicadmin/federal_finance_year_revenue.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=federal_finance_year_revenue&limit=3" response_json = requests.get(url=url).json() pprint.pprint(response_json)