RBI Daily Digital Payments
The Reserve Bank of India (RBI) has made available settlement data for select payment systems, capturing the volume and value of transactions made through payment systems operated by the RBI and National Payments Corporation of India (NPCI). his dataset provides insights into the electronic payment systems which facilitate various financial transactions across India. The dataset covers transactions made through various payment systems including National Electronic Funds Transfer (NEFT), Real-Time Gross Settlement (RTGS), Aadhaar enabled Payment System (AePS), Cheque Truncation System (CTS), Immediate Payment Service (IMPS), National Automated Clearing House (NACH) and Unified Payments Interface (UPI). Additionally, it includes the position of cash withdrawal transactions using Automated Teller Machines (ATMs) and Banking Correspondents (BCs). The settlement data of select payment systems is a valuable resource for financial analysts, researchers, policymakers, and financial institutions to analyze trends and patterns in payment transactions. It provides insights into the adoption of electronic payment systems, the growth of digital payments, and the changing nature of financial transactions in India.
Data Dictionary
- ID
- id
- Type
- int4
- Label
- index
- ID
- date
- Type
- date
- Label
- Date
- ID
- rtgs_vol
- Type
- numeric
- Label
- RTGS Volume
- ID
- rtgs_val
- Type
- numeric
- Label
- RTGS Value
- ID
- neft_vol
- Type
- numeric
- Label
- NEFT Volume
- ID
- neft_val
- Type
- numeric
- Label
- NEFT Value
- ID
- aeps_vol
- Type
- numeric
- Label
- AePS Volume
- ID
- aeps_val
- Type
- numeric
- Label
- AePS Value
- ID
- upi_vol
- Type
- numeric
- Label
- UPI Volume
- ID
- upi_val
- Type
- numeric
- Label
- UPI Value
- ID
- imps_vol
- Type
- numeric
- Label
- IMPS Volume
- ID
- imps_val
- Type
- numeric
- Label
- IMPS Value
- ID
- nach_credit_vol
- Type
- numeric
- Label
- NACH Credit Volume
- ID
- nach_credit_val
- Type
- numeric
- Label
- NACH Credit Value
- ID
- nach_debit_vol
- Type
- numeric
- Label
- NACH Debit Volume
- ID
- nach_debit_val
- Type
- numeric
- Label
- NACH Debit Value
- ID
- netc_vol
- Type
- numeric
- Label
- NETC Volume
- ID
- netc_val
- Type
- numeric
- Label
- NETC Value
- ID
- bbps_vol
- Type
- numeric
- Label
- BBPS Volume
- ID
- bbps_val
- Type
- numeric
- Label
- BBPS Value
- ID
- cts_vol
- Type
- numeric
- Label
- CTS Volume
- ID
- cts_val
- Type
- numeric
- Label
- CTS Value
- ID
- credit_card_at_pos_and_e_commerce_vol
- Type
- numeric
- Label
- Credit Card (At PoS and e-Commerce) Volume
- ID
- credit_card_at_pos_and_e_commerce_val
- Type
- numeric
- Label
- Credit Card (At PoS and e-Commerce) Value
- ID
- debit_card_at_pos_and_e_commerce_vol
- Type
- numeric
- Label
- Debit Card (At PoS and e-Commerce) Volume
- ID
- debit_card_at_pos_and_e_commerce_val
- Type
- numeric
- Label
- Debit Card (At PoS and e-Commerce) Value
- ID
- ppis_card_at_pos_and_e_commerce_vol
- Type
- numeric
- Label
- Prepaid Payment Instruments (PPIs) Card (At PoS and e-Commerce) Volume
- ID
- ppis_card_at_pos_and_e_commerce_val
- Type
- numeric
- Label
- Prepaid Payment Instruments (PPIs) Card (At PoS and e-Commerce) Value
- ID
- nfs_through_atms_vol
- Type
- numeric
- Label
- NFS (through ATMs) Volume
- ID
- nfs_through_atms_val
- Type
- numeric
- Label
- NFS (through ATMs) Value
- ID
- aeps_through_micro_atms_or_bcs_vol
- Type
- numeric
- Label
- AePS (through micro-ATMs / BCs) Volume
- ID
- aeps_through_micro_atms_or_bcs_val
- Type
- numeric
- Label
- AePS (through micro-ATMs / BCs) Value
- ID
- credit_card_at_pos_vol
- Type
- numeric
- Label
- Credit Card Volume
- ID
- credit_card_at_pos_val
- Type
- numeric
- Label
- Credit Card Value
- ID
- credit_card_at_e_commerce_vol
- Type
- numeric
- Label
- Credit Card Volume at e-Commerce
- ID
- credit_card_at_e_commerce_val
- Type
- numeric
- Label
- Credit Card Value at e-Commerce
- ID
- debit_card_at_pos_vol
- Type
- numeric
- Label
- Debit Card Volume
- ID
- debit_card_at_pos_val
- Type
- numeric
- Label
- Debit Card Value
- ID
- debit_card_at_e_commerce_vol
- Type
- numeric
- Label
- Debit Card Volume at e-Commerce
- ID
- debit_card_at_e_commerce_val
- Type
- numeric
- Label
- Debit Card Value at e-Commerce
- ID
- ppis_card_at_pos_vol
- Type
- numeric
- Label
- Prepaid Payment Instruments (PPIs) Card Volume
- ID
- ppis_card_at_pos_val
- Type
- numeric
- Label
- Prepaid Payment Instruments (PPIs) Card Value
- ID
- ppis_card_at_e_commerce_vol
- Type
- numeric
- Label
- Prepaid Payment Instruments (PPIs) Card Volume at e-Commerce
- ID
- ppis_card_at_e_commerce_val
- Type
- numeric
- Label
- Prepaid Payment Instruments (PPIs) Card Value at e-Commerce
- ID
- government_securities_clearing_vol
- Type
- numeric
- Label
- Government Securities Clearing Volume
- ID
- government_securities_clearing_val
- Type
- numeric
- Label
- Government Securities Clearing Value
- ID
- forex_clearing_vol
- Type
- numeric
- Label
- Forex Clearing Volume
- ID
- forex_clearing_val
- Type
- numeric
- Label
- Forex Clearing Value
- ID
- rupee_derivatives_vol
- Type
- numeric
- Label
- Rupee Derivatives (for all deals matched during the day) Volume
- ID
- rupee_derivatives_val
- Type
- numeric
- Label
- Rupee Derivatives (for all deals matched during the day) Value
Additional Information
Field | Value |
---|---|
Data last updated | May 2, 2025 |
Metadata last updated | May 2, 2025 |
Created | October 6, 2023 |
Format | CSV |
License | Open Data Commons Attribution License |
Additional info | The data published is only for RBI, NPCI operated systems and Card Networks (domestic Off-Us transactions). RTGS data includes only Customer and Interbank transactions. AePS data under Payment transactions include AePS Fund Transfers and BHIM Aadhaar Pay transactions. UPI data includes BHIM-UPI and USSD transactions. NACH Credit data includes Aadhaar Payment Bridge System (APBS) transactions. NETC figures are for FASTags linked with all instruments and hence would be different from monthly bulletin which only includes NETC linked to bank accounts BBPS data is not included in the monthly bulletin as the data is captured under other systems. For complete data on Payment System Indicators, please refer to RBI Bulletin – Table 43 published on a monthly basis. Data on Prepaid cards are only those that are processed by card networks. |
Data extraction page | https://www.rbi.org.in/Scripts/BS_PressReleaseDisplay.aspx?prid=49901 |
Data insights | What is the trend in the volume and value of digital transactions across various payment systems in India, and how is this changing over time? Which payment systems are experiencing the highest growth in transaction volume and value, and what factors are driving this growth? How are consumers using different payment systems, and what types of transactions are most commonly conducted through each system? What is the overall adoption rate of electronic payment systems in India, and how does this compare to other countries in the region? How are changes in government policies and regulations affecting the use of electronic payment systems in India, and what implications do these changes have for financial institutions and consumers? What are the key challenges facing the growth of electronic payment systems in India, and how can these be addressed to ensure wider adoption and greater financial inclusion? |
Data last updated | 2025-04-30 00:00:00 |
Data retreival date | 2025-05-02 00:00:00 |
Datastore active | True |
Frequency | Daily |
Granularity | India |
Has views | True |
Id | 1f9367ac-01b0-4c82-83a1-4069d4340667 |
Idp ready | True |
Lgd mapping | na |
Methodology | The specific data collection methodology for the Reserve Bank published settlement data of select payment systems is not provided by RBI. However, it is likely that the data is collected through a combination of automated processes and manual data entry. |
Mimetype | text/csv |
No indicators | 48 |
Package id | eb565ca6-aa06-47fd-9c81-05c7ed6c538b |
Position | 0 |
Size | 531 KiB |
Sku | rbi-payment_systems_settlements-in-dl-zau |
State | active |
Tags | ['Reserve Bank of India', 'Payment Systems', 'Digital Transactions', 'ATMs\n Financial Inclusion', 'Financtial Institutions', 'Consumers'] |
Url type | upload |
Years covered | 2020-2025 |
Methodology | The specific data collection methodology for the Reserve Bank published settlement data of select payment systems is not provided by RBI. However, it is likely that the data is collected through a combination of automated processes and manual data entry. |
Indicators | |
Similar Resources | |
Granularity Level | India |
Data Extraction Page | https://www.rbi.org.in/Scripts/BS_PressReleaseDisplay.aspx?prid=49901 |
Data Retreival Date | 2025-05-02 00:00:00 |
Data Last Updated | 2025-04-30 00:00:00 |
Sku | rbi-payment_systems_settlements-in-dl-zau |
Dataset Frequency | Daily |
Years Covered | 2020-2025 |
No of States/UT(s) | |
No of Districts | |
No of Tehsils/blocks | |
No of Gram Panchayats | |
Additional Information | The data published is only for RBI, NPCI operated systems and Card Networks (domestic Off-Us transactions). RTGS data includes only Customer and Interbank transactions. AePS data under Payment transactions include AePS Fund Transfers and BHIM Aadhaar Pay transactions. UPI data includes BHIM-UPI and USSD transactions. NACH Credit data includes Aadhaar Payment Bridge System (APBS) transactions. NETC figures are for FASTags linked with all instruments and hence would be different from monthly bulletin which only includes NETC linked to bank accounts BBPS data is not included in the monthly bulletin as the data is captured under other systems. For complete data on Payment System Indicators, please refer to RBI Bulletin – Table 43 published on a monthly basis. Data on Prepaid cards are only those that are processed by card networks. |
Number of Indicators | 48 |
Insights from the dataset | What is the trend in the volume and value of digital transactions across various payment systems in India, and how is this changing over time? Which payment systems are experiencing the highest growth in transaction volume and value, and what factors are driving this growth? How are consumers using different payment systems, and what types of transactions are most commonly conducted through each system? What is the overall adoption rate of electronic payment systems in India, and how does this compare to other countries in the region? How are changes in government policies and regulations affecting the use of electronic payment systems in India, and what implications do these changes have for financial institutions and consumers? What are the key challenges facing the growth of electronic payment systems in India, and how can these be addressed to ensure wider adoption and greater financial inclusion? |
IDP Ready | Yes |
LGD Mapping | Not Applicable |