NEFT Transaction Metrics
The "NEFT Transaction Metrics" dataset is procured from the Reserve Bank of India, the apex monetary authority of the country. This dataset delineates the monthly details concerning the National Electronic Funds Transfer (NEFT) system, which facilitates one-to-one funds transfer. By providing data on both debit and credit transactions for various banks, this dataset offers an encompassing view of the NEFT transaction landscape across India.
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_debit_transactions
- Type
- numeric
- Label
- Debit Transaction Volume
- ID
- amt_of_debit_transactions
- Type
- numeric
- Label
- Debit Transactions Value
- ID
- no_of_credit_transactions
- Type
- numeric
- Label
- Credit Transaction Volume
- ID
- amt_of_credit_transactions
- Type
- numeric
- Label
- Credit Transactions Value
Additional Information
| Field | Value |
|---|---|
| Data last updated | May 2, 2025 |
| Metadata last updated | May 2, 2025 |
| Created | April 17, 2024 |
| Format | CSV |
| License | Open Data Commons Attribution License |
| Additional info | nan |
| Data extraction page | https://rbi.org.in/Scripts/NEFTView.aspx |
| Data insights | The "NEFT Transaction Metrics" dataset, with its granularity, offers invaluable insights into the digital transactional behaviors and trends in India. Through a monthly trend analysis, stakeholders can ascertain the rhythm and pace of NEFT transactions, pinpointing any anomalies, surge periods, or slow phases. These trends can be essential indicators of the broader economic landscape, signaling growth phases or potential economic slowdowns. By examining bank-specific data, a clear picture of each institution's stance in the NEFT landscape emerges. Which banks are the most active in facilitating NEFT transfers? Do certain banks have a higher debit transaction rate compared to credits or vice versa? This type of insight can provide a lens into the financial health and customer engagement strategies of individual banks. An intriguing facet of the dataset is the distinct data on 'Debit Transactions' and 'Credit Transactions'. By scrutinizing these columns, one can discern the balance of funds outflow and inflow for each bank. If a bank consistently has higher debit values compared to credit values, it might indicate more outward transfers than incoming ones. On the other hand, banks with a dominant credit value might be the recipients of a more significant number of inward funds, indicating trust or preference by customers or businesses. |
| 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 | 10a39a51-20d1-441a-9e92-64ca0c5c6f36 |
| Idp ready | True |
| Lgd mapping | na |
| Methodology | This data is collated by the Reserve Bank of India, leveraging the periodic submissions and transactional reports from the different banks functioning within India's borders. |
| Mimetype | text/csv |
| No indicators | 4 |
| Package id | eb565ca6-aa06-47fd-9c81-05c7ed6c538b |
| Position | 10 |
| Size | 2.6 MiB |
| Sku | rbi-bankwise_neft_transactions-in-mn-aaa |
| State | active |
| Tags | ['NEFT Transations', 'Funds Transfer Analysis', 'Bankwise Data'] |
| Url type | upload |
| Years covered | 2008-2025 |
| Methodology | This data is collated by the Reserve Bank of India, leveraging the periodic submissions and transactional reports from the different banks functioning within India's borders. |
| 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_neft_transactions-in-mn-aaa |
| Dataset Frequency | Monthly |
| Years Covered | 2008-2025 |
| No of States/UT(s) | |
| No of Districts | |
| No of Tehsils/blocks | |
| No of Gram Panchayats | |
| Additional Information | nan |
| Number of Indicators | 4 |
| Insights from the dataset | The "NEFT Transaction Metrics" dataset, with its granularity, offers invaluable insights into the digital transactional behaviors and trends in India. Through a monthly trend analysis, stakeholders can ascertain the rhythm and pace of NEFT transactions, pinpointing any anomalies, surge periods, or slow phases. These trends can be essential indicators of the broader economic landscape, signaling growth phases or potential economic slowdowns. By examining bank-specific data, a clear picture of each institution's stance in the NEFT landscape emerges. Which banks are the most active in facilitating NEFT transfers? Do certain banks have a higher debit transaction rate compared to credits or vice versa? This type of insight can provide a lens into the financial health and customer engagement strategies of individual banks. An intriguing facet of the dataset is the distinct data on 'Debit Transactions' and 'Credit Transactions'. By scrutinizing these columns, one can discern the balance of funds outflow and inflow for each bank. If a bank consistently has higher debit values compared to credit values, it might indicate more outward transfers than incoming ones. On the other hand, banks with a dominant credit value might be the recipients of a more significant number of inward funds, indicating trust or preference by customers or businesses. |
| IDP Ready | Yes |
| LGD Mapping | Not Applicable |