Daily DirectDebit Transactions
Data as of 13 Jan 2026, 23:59Daily volume and value of DirectDebit transactions.
0 views·0 downloads
How is this data produced?
This data is derived from transactional records of recurring payments settled through the DirectDebit recurring payment scheme operated by PayNet, Malaysia's national payments network and central financial infrastructure. DirectDebit transactions are recorded in real time as they occur through participating banks' systems, where customers authorise recurring debits to billers or merchants via an eMandate or authorisation form. Each transaction is captured centrally by PayNet's infrastructure.
For the purpose of publication via data.gov.my, PayNet conducts the aggregation and provides only the daily totals; no transaction-level data is ever disseminated outside PayNet's systems.
What caveats I should bear in mind when using this data?
This dataset is provided with the highest practical timeliness (updated by 2am daily for data up to the previous day) due to its high potential for use in nowcasting and forecasting models. However, there may occasional revisions to ensure eventual consistency with the monthly payment statistics published by the Central Bank of Malaysia (BNM).
Metadata
Dataset description
Daily volume and value of DirectDebit transactions.
Variable definitions
- Date
- Transaction Volume
- Transaction Value (RM)
Name in Dataset | Variable | Definition |
|---|---|---|
date (Date) | Date | The date in YYYY-MM-DD format |
volume (Integer) | Transaction Volume | Number of DirectDebit transactions for the date. |
value (Float, RM) | Transaction Value (RM) | Value of DirectDebit transactions for the date in Ringgit Malaysia (RM). |
Last updated:
14 Jan 2026, 08:02
Next update:
15 Jan 2026, 02:00
Data source(s)
- Payments Network Malaysia Sdn Bhd
- 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.
0
Full Dataset (Parquet)
Recommended for data scientists seeking to work with data via code.
0
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/trnsc_daily_directdebit.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=trnsc_daily_directdebit&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
© 2026 Public Sector Open Data