Monthly Usage of Payment Systems
Data as of Nov 2025Monthly volume and value of transactions, disaggregated by payment system.
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How is this data produced?
Every electronic payment is conducted using a payment instrument (e.g. a debit or credit card), via a payment channel (e.g. via your modile phone), and processed through a payment system (e.g. DuitNow, FPX, etc.). As the primary regulator of the financial sector, Bank Negara Malaysia (BNM) collects aggregated data on the volume and value of transactions conducted using each payment instrument, channel, and system from all relevant reporting entities in the financial industry, per its mandate as a statuory body under the laws of Malaysia. This datasets presents that data at monthly frequency, disaggregated by payment channel.
Publication(s) using this data
data.gov.my provides a dashboard on electronic payments where you can explore this data in an interactive and holistic manner.
Metadata
Dataset description
Monthly volume and value of transactions, disaggregated by payment system.
Variable definitions
- Date
- Payment System
- Transaction Volume
- Transaction Value (RM)
Name in Dataset | Variable | Definition |
|---|---|---|
date (Date) | Date | The date in YYYY-MM-DD format, with DD set to 01 as the data is at monthly frequency |
system (String) | Payment System | One of 6 payment systems: Direct Debit ('dd'), FPX ('fpx'), Interbank GIRO ('ibg'), JomPAY ('jompay'), RENTAS ('rentas'), and DuitNow/RPP ('rpp'). |
volume (Integer) | Transaction Volume | Number of transactions conducted using that system in that month |
value (Float, RM) | Transaction Value (RM) | Value of transactions conducted using that system in that month |
Last updated:
10 Jan 2026, 16:00
Next update:
10 Feb 2026, 16:00
Data source(s)
- Central Bank of Malaysia
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.
Download
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/finsector/payments/systems.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=payment_systems&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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