Annual Federal Government debt outstanding by sector (domestic or external), type of instrument, and remaining maturity.
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This data is compiled by Bank Negara Malaysia from Federal Government debt records, and reflects the nominal value of debt outstanding at the end of each period, classified by remaining maturity. A few key relationships should be noted:
Numbers may not add up due to rounding during derivation.
Annual Federal Government debt outstanding by sector (domestic or external), type of instrument, and remaining maturity.
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; values are as at the end of the year |
sector (Categorical) | Sector | Overall debt ('total'), domestic debt ('domestic'), or external debt ('external') |
type (Categorical) | Type | Type of debt instrument: for domestic debt, Treasury Bills ('tbills'), MGII ('mgii'), MGS ('mgs') or other loans ('other'); for external debt, non-resident holdings of RM-denominated debt ('rm'), market loans ('market') or project loans ('project'); 'total' denotes the sum across types |
maturity (Categorical) | Remaining Maturity | Remaining maturity in years ('0-3', '3-5', '5-10', '10-15', '15+'), available for MGII and MGS only; 'total' denotes the sum across maturities |
value (Float) | Debt (RM mil) | Nominal value of debt outstanding in millions of ringgit (RM mil) |
11 Oct 2026, 18:00
31 Mar 2027, 18:00
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.
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Full Dataset (Parquet)
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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_year_debt_mat.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_year_debt_mat&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)© 2026 Public Sector Open Data