Various interest rates monitored by Bank Negara Malaysia, such as fixed deposit rates, base rates, and lending rates.
0 views·0 downloads
Bank Negara Malaysia (BNM) is the overseer which safeguards the public's financial interests. Accordingly, BNM tracks various interest rates of concern in real time. That data is summarised here at monthly frequency.
There are several nuances to bear in mind when using this data:
Our site features an interactive dashboard on interest rates. This dataset is also published as part of BNM's monthly highlights and statistics.
Various interest rates monitored by Bank Negara Malaysia, such as fixed deposit rates, base rates, and lending rates.
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 monthly frequency |
bank (Categorical) | Bank Type | Type of bank; ommercial ('commercial') or investment ('investment') |
rate (String) | Rate Type | Type of interest rate, to be mapped using the Lookup Table where file = 'interest_rates'. The lookup table will give you the English and Malay definitions. |
value (Float) | Interest Rate | Average rate of interest during the period, expressed as a percentage (%) |
31 May 2024, 15:00
30 Jun 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.
0
Full Dataset (Parquet)
Recommended for data scientists seeking to work with data via code.
0
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/finsector/interest_rates.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=interestrates&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
© 2024 Public Sector Open Data