ECS Transaction Metrics
ECS Transactions (Volume, Value, Users) provides detailed monthly data on Electronic Clearing Service (ECS) transactions. The dataset encompasses specific metrics like the volume and value of transactions, and the number of users engaging in ECS credit and debit transactions. The data is organized by month and is broken down by different centers and banks, offering granular insights into the dynamics of electronic transactions across various regions and banking institutions.
Data Dictionary
- ID
- id
- Type
- int4
- Label
- index
- ID
- month
- Type
- date
- Label
- Month
- ID
- center_name
- Type
- text
- Label
- Center Name
- ID
- bank_name
- Type
- text
- Label
- Bank Name
- ID
- ecs_credit_users
- Type
- numeric
- Label
- ECS Credit Users
- ID
- ecs_credit_vol
- Type
- numeric
- Label
- ECS Credit Transaction Volume
- ID
- ecs_credit_val
- Type
- numeric
- Label
- ECS Credit Aggregate Value of Transactions
- ID
- ecs_debit_users
- Type
- numeric
- Label
- ECS Debit Users
- ID
- ecs_debit_vol
- Type
- numeric
- Label
- ECS Debit Transaction Volume
- ID
- ecs_debit_val
- Type
- numeric
- Label
- ECS Debit Aggregate Value of Transactions
Additional Information
| Field | Value |
|---|---|
| Data last updated | October 9, 2023 |
| Metadata last updated | August 22, 2024 |
| Created | October 9, 2023 |
| Format | CSV |
| License | Open Data Commons Attribution License |
| Data extraction page | https://rbi.org.in/Scripts/NEFTView.aspx |
| Data insights | Through this dataset, one can observe variations in ECS transaction volumes, values, and user counts across different months. When segmented by banks, the data allows for a comparison of ECS transaction activity across various banking institutions. Additionally, the distinction between ECS credit and debit transactions provides information on user transactional choices. The inclusion of center names in the dataset also enables a regional assessment, giving insights into the distribution and prevalence of these transactions in different regions. |
| Data last updated | discontinued |
| Data retreival date | 2023-08-03 00:00:00 |
| Datastore active | True |
| Frequency | Monthly |
| Granularity | Bank |
| Has views | True |
| Id | 961f1a87-5701-41e6-b124-896b33867e30 |
| Idp ready | True |
| Lgd mapping | na |
| Methodology | The dataset is compiled from data reported by different banks to the Reserve Bank of India. It is updated monthly and is made available on the RBI’s official website. |
| No indicators | 6 |
| Package id | eb565ca6-aa06-47fd-9c81-05c7ed6c538b |
| Position | 6 |
| Size | 612.5 KiB |
| Sku | rbi-bankwise_ecs_transactions-in-mn-aaa |
| State | active |
| Url type | upload |
| Years covered | 2013 to 2020 |
| Methodology | The dataset is compiled from data reported by different banks to the Reserve Bank of India. It is updated monthly and is made available on the RBI’s official website. |
| Indicators | |
| Similar Resources | |
| Granularity Level | Bank |
| Data Extraction Page | https://rbi.org.in/Scripts/NEFTView.aspx |
| Data Retreival Date | 2023-08-03 00:00:00 |
| Data Last Updated | discontinued |
| Sku | rbi-bankwise_ecs_transactions-in-mn-aaa |
| Dataset Frequency | Monthly |
| Years Covered | 2013 to 2020 |
| No of States/UT(s) | |
| No of Districts | |
| No of Tehsils/blocks | |
| No of Gram Panchayats | |
| Additional Information | |
| Number of Indicators | 6 |
| Insights from the dataset | Through this dataset, one can observe variations in ECS transaction volumes, values, and user counts across different months. When segmented by banks, the data allows for a comparison of ECS transaction activity across various banking institutions. Additionally, the distinction between ECS credit and debit transactions provides information on user transactional choices. The inclusion of center names in the dataset also enables a regional assessment, giving insights into the distribution and prevalence of these transactions in different regions. |
| IDP Ready | Yes |
| LGD Mapping | Not Applicable |