Internet Banking Statistics
The Internet Banking Statistics dataset, sourced from the Reserve Bank of India, provides detailed information on internet banking activities across various banks. This dataset outlines the performance metrics and adoption rate of internet banking for specific banks, capturing data on monthly transaction volumes, aggregate transaction values, and the number of active users.
Data Dictionary
- ID
- id
- Type
- int4
- Label
- index
- ID
- month
- Type
- date
- Label
- Month
- ID
- bank_name
- Type
- text
- Label
- Bank Name
- ID
- no_of_transactions
- Type
- numeric
- Label
- Transaction Volume
- ID
- amt_of_transactions
- Type
- numeric
- Label
- Aggregate Transaction Value
- ID
- active_users
- Type
- numeric
- Label
- Active Users
Additional Information
| Field | Value |
|---|---|
| Data last updated | May 2, 2025 |
| Metadata last updated | May 2, 2025 |
| Created | October 9, 2023 |
| Format | CSV |
| License | Open Data Commons Attribution License |
| Additional info | nan |
| Data extraction page | https://rbi.org.in/Scripts/NEFTView.aspx |
| Data insights | The dataset allows stakeholders to comprehend the adoption and utilization trends of internet banking across different banks in India. By analyzing the transaction volume and aggregate transaction value, one can discern patterns related to the frequency and size of transactions carried out through internet banking. It provides a perspective on how reliant and comfortable consumers are in transacting significant amounts online. Banks with higher active users indicate a more substantial customer base that prefers internet banking, which can be indicative of user-friendly interfaces, better online banking features, or effective online security measures of these banks. By monitoring these numbers over time, one can infer the growth rate or decline of internet banking usage for individual banks. Comparing the 'Active Users' metric with 'Transaction Volume' can offer insights into user behavior. For instance, a bank with a high number of active users but a relatively low transaction volume might indicate that while many users have adopted online banking, they might be using it for limited purposes or with less frequency. |
| Data last updated | 2025-03-01 00:00:00 |
| Data retreival date | 2025-04-15 |
| Datastore active | True |
| Frequency | Monthly |
| Granularity | Bank |
| Has views | True |
| Id | 41184d46-105d-49dc-89d6-8b52185ee6ee |
| Idp ready | True |
| Lgd mapping | na |
| Methodology | Data for the Internet Banking Statistics is collated by the Reserve Bank of India from the reporting of individual banks. |
| Mimetype | text/csv |
| No indicators | 3 |
| Package id | eb565ca6-aa06-47fd-9c81-05c7ed6c538b |
| Position | 7 |
| Size | 250.2 KiB |
| Sku | rbi-bankwise_internet_banking_transactions-in-mn-aaa |
| State | active |
| Tags | ['Internet Banking', 'Banking Trends', 'Transactions'] |
| Url type | upload |
| Years covered | 2022-2025 |
| Methodology | Data for the Internet Banking Statistics is collated by the Reserve Bank of India from the reporting of individual banks. |
| Indicators | |
| Similar Resources | |
| Granularity Level | Bank |
| Data Extraction Page | https://rbi.org.in/Scripts/NEFTView.aspx |
| Data Retreival Date | 2025-04-15 |
| Data Last Updated | 2025-03-01 00:00:00 |
| Sku | rbi-bankwise_internet_banking_transactions-in-mn-aaa |
| Dataset Frequency | Monthly |
| Years Covered | 2022-2025 |
| No of States/UT(s) | |
| No of Districts | |
| No of Tehsils/blocks | |
| No of Gram Panchayats | |
| Additional Information | nan |
| Number of Indicators | 3 |
| Insights from the dataset | The dataset allows stakeholders to comprehend the adoption and utilization trends of internet banking across different banks in India. By analyzing the transaction volume and aggregate transaction value, one can discern patterns related to the frequency and size of transactions carried out through internet banking. It provides a perspective on how reliant and comfortable consumers are in transacting significant amounts online. Banks with higher active users indicate a more substantial customer base that prefers internet banking, which can be indicative of user-friendly interfaces, better online banking features, or effective online security measures of these banks. By monitoring these numbers over time, one can infer the growth rate or decline of internet banking usage for individual banks. Comparing the 'Active Users' metric with 'Transaction Volume' can offer insights into user behavior. For instance, a bank with a high number of active users but a relatively low transaction volume might indicate that while many users have adopted online banking, they might be using it for limited purposes or with less frequency. |
| IDP Ready | Yes |
| LGD Mapping | Not Applicable |