Annual Federal Government Finance
Data as of 2023Annual revenue, operating and development expenditure, overall surplus/deficit, and sources of financing for the Federal Government of Malaysia.
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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 key relationships should be noted:
- Net development expenditure is gross development expenditure less loan recoveries.
- Net borrowing is gross borrowing less repayments, for both the domestic and foreign sectors.
- The overall balance is revenue less operating expenditure less net development expenditure.
- For stock values (such as use of assets), a positive value indicates the disposal of assets while a negative value indicates the acquisition of assets.
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
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Metadata
Dataset description
Annual revenue, operating and development expenditure, overall surplus/deficit, and sources of financing for the Federal Government of Malaysia.
Variable definitions
- Date
- Category
- Variable
- Value (RM mil)
Name in Dataset | Variable | Definition |
|---|---|---|
date (Date) | Date | The date in YYYY-MM-DD format, with MM-DD set to 01-01 since the data is at annual frequency |
category (Categorical) | Category | Current budget ('budget') or source of financing ('financing') |
variable (String) | Variable | Variable name, to be mapped using the Lookup Table where file = 'main'. The lookup table will give you the English and Malay definitions. |
value (Float) | Value (RM mil) | The value for the variable |
Last updated:
31 May 2024, 15:00
Next update:
31 May 2025, 15:00
Data source(s)
- Accountant-General's Department
- Central Bank of Malaysia
URLs to dataset
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)
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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.data.gov.my/publicadmin/federal_finance_year.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&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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