Annual Federal Government Operating Expenditure by Object
Data as of 2023Breakdown of annual Federal Government operating expenditure into key categories.
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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. Within this dataset, operating expenditure includes grants and transfers (including refunds and write-offs) to state governments, public agencies and public enterprises.
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
Breakdown of annual Federal Government operating expenditure into key categories.
Variable definitions
- Date
- Object
- Expenditure (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 |
object (String) | Object | Variable name, to be mapped using the Lookup Tablehttps://data.gov.my/data-catalogue/lookup_federal_finance where file = 'oe'. The lookup table will give you the English and Malay definitions. |
value (Float) | Expenditure (RM mil) | Operating expenditure in millions of ringgit (RM mil) |
Last updated:
31 May 2024, 15:00
Next update:
31 May 2025, 15:00
Data source(s)
- JANM
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)
Recommended for individuals seeking an Excel-friendly format.
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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_oe.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_oe&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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