Annual Federal Government Development Expenditure by Function

Data as of 2022

Breakdown of annual Federal Government development expenditure by key sectors describing the area of impact of development projects.

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Table

Expenditure (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. Within this dataset, values for the general administration function include public services, statistics, Royal Customs and Excise, Inland Revenue Departments and the Ministry of Foreign Affairs.

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

Breakdown of annual Federal Government development expenditure by key sectors describing the area of impact of development projects.

Variable definitions
  • Date
  • Category
  • Function
  • Expenditure (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
Full Dataset (CSV)

Full Dataset (CSV)

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Full Dataset (Parquet)

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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_de.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_de&limit=3" response_json = requests.get(url=url).json() pprint.pprint(response_json)