Bank Wise RTGS Inward and Outward
The dataset "Bank Wise RTGS Inward and Outward" sourced from the Reserve Bank of India provides a comprehensive breakdown of RTGS (Real-Time Gross Settlement) transactions conducted by different banks. The data spans both inward (incoming) and outward (outgoing) transactions and segregates them further based on interbank and customer-driven transactions.
Data Dictionary
- ID
- id
- Type
- int4
- Label
- index
- ID
- month
- Type
- date
- Label
- Month
- ID
- bank_name
- Type
- text
- Label
- Bank Name
- ID
- inward_interbank_volume
- Type
- numeric
- Label
- INWARD Volume Interbank
- ID
- inward_costumer_volume
- Type
- numeric
- Label
- INWARD Volume Customer
- ID
- inward_total_volume
- Type
- numeric
- Label
- INWARD Total Volume
- ID
- inward_percentage_volume
- Type
- numeric
- Label
- Percentage of Total INWARD Volume
- ID
- inward_interbank_amt
- Type
- numeric
- Label
- INWARD Value Interbank
- ID
- inward_costumer_amt
- Type
- numeric
- Label
- INWARD Value Customer
- ID
- inward_total_amt
- Type
- numeric
- Label
- INWARD Total Value
- ID
- inward_percentage_amt
- Type
- numeric
- Label
- Percentage of Total INWARD Value
- ID
- outward_interbank_volume
- Type
- numeric
- Label
- OUTWARD Volume Interbank
- ID
- outward_costumer_volume
- Type
- numeric
- Label
- OUTWARD Volume Customer
- ID
- outward_total_volume
- Type
- numeric
- Label
- OUTWARD Total Volume
- ID
- outward_percentage_volume
- Type
- numeric
- Label
- Percentage of Total OUTWARD Volume
- ID
- outward_interbank_amt
- Type
- numeric
- Label
- OUTWARD Value Interbank
- ID
- outward_costumer_amt
- Type
- numeric
- Label
- OUTWARD Value Customer
- ID
- outward_total_amt
- Type
- numeric
- Label
- OUTWARD Total Value
- ID
- outward_percentage_amt
- Type
- numeric
- Label
- Percentage of Total OUTWARD Value
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 | From the dataset, several insightful narratives can be pieced together about the RTGS transaction landscape in India. One of the most pivotal points to consider is the transactional trend portrayed by individual banks. Observing the 'INWARD Total Volume' and 'OUTWARD Total Volume' provides a snapshot of which banks might be at the forefront of RTGS transactions. Those with consistently high volumes might be perceived as the more dominant or trusted entities in this sphere. Diving deeper, the dataset does a commendable job differentiating between interbank and customer transactions. Banks showing a substantial 'INWARD Volume Interbank' could be inferred as playing a more influential role in interbank settlements. This demarcation between interbank and customer-driven transactions offers a nuanced understanding of a bank's RTGS transactional ecosystem. However, the true depth of this dataset is realized when delving into the monetary values associated with these transactions. By juxtaposing 'INWARD Total Value' with 'INWARD Total Volume', one can decipher the average transaction size for each bank. This might unravel whether certain banks are more favored for large-scale corporate transactions or for smaller, perhaps retail-based transfers. |
Data last updated | 2025-03-01 00:00:00 |
Data retreival date | 2025-04-30 00:00:00 |
Datastore active | True |
Frequency | Monthly |
Granularity | Bank |
Has views | True |
Id | e9cef902-3a0f-4bc2-96e7-f9735e1ebffb |
Idp ready | True |
Lgd mapping | na |
Methodology | The data is compiled by the Reserve Bank of India from the transaction reports submitted by individual banks on a regular basis |
Mimetype | text/csv |
No indicators | 16 |
Package id | eb565ca6-aa06-47fd-9c81-05c7ed6c538b |
Position | 8 |
Size | 5.7 MiB |
Sku | rbi-bankwise_rtgs_transactions-in-mn-aaa |
State | active |
Tags | ['RTGS', 'Interbank Transactions', 'Customer Transaction', 'Banking Data Analysis'] |
Url type | upload |
Years covered | 2008-2025 |
Methodology | The data is compiled by the Reserve Bank of India from the transaction reports submitted by individual banks on a regular basis |
Indicators | |
Similar Resources | |
Granularity Level | Bank |
Data Extraction Page | https://rbi.org.in/Scripts/NEFTView.aspx |
Data Retreival Date | 2025-04-30 00:00:00 |
Data Last Updated | 2025-03-01 00:00:00 |
Sku | rbi-bankwise_rtgs_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 | 16 |
Insights from the dataset | From the dataset, several insightful narratives can be pieced together about the RTGS transaction landscape in India. One of the most pivotal points to consider is the transactional trend portrayed by individual banks. Observing the 'INWARD Total Volume' and 'OUTWARD Total Volume' provides a snapshot of which banks might be at the forefront of RTGS transactions. Those with consistently high volumes might be perceived as the more dominant or trusted entities in this sphere. Diving deeper, the dataset does a commendable job differentiating between interbank and customer transactions. Banks showing a substantial 'INWARD Volume Interbank' could be inferred as playing a more influential role in interbank settlements. This demarcation between interbank and customer-driven transactions offers a nuanced understanding of a bank's RTGS transactional ecosystem. However, the true depth of this dataset is realized when delving into the monetary values associated with these transactions. By juxtaposing 'INWARD Total Value' with 'INWARD Total Volume', one can decipher the average transaction size for each bank. This might unravel whether certain banks are more favored for large-scale corporate transactions or for smaller, perhaps retail-based transfers. |
IDP Ready | Yes |
LGD Mapping | Not Applicable |