Breakdown of quarterly Federal Government operating expenditure into key categories.
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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.
Numbers may not add up due to rounding during derivation. Furthermore, data for 2023 are preliminary and are subject to revision in future releases.
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Breakdown of quarterly Federal Government operating expenditure into key categories.
Name in Dataset | Variable | Definition |
---|---|---|
date (Date) | Date | The date in YYYY-MM-DD format, with DD set to 01 since the data is at quarterly frequency |
object (String) | Object | Variable name, to be mapped using the Lookup Table 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) |
31 May 2024, 15:00
30 Aug 2024, 15:00
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)
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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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_qtr_oe.parquet'
df = pd.read_parquet(URL_DATA)
if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
print(df)
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_qtr_oe&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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