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Population-group Wise Deposits
The Reserve Bank of India (RBI) provides data on the deposits of scheduled commercial banks as part of its database of the Indian economy. Scheduled commercial banks include public sector banks, private sector banks, foreign banks, regional rural banks, and other types of banks.
The dataset includes information on various types of deposits such as savings deposits, term deposits, and demand deposits. It provides detailed information on the amount of deposits held by the banks, and number of accounts.
Data Dictionary
- ID
- id
- Typ
- numeric
- Etikett
- index
- ID
- year
- Typ
- text
- Etikett
- Year
- ID
- state_name
- Typ
- text
- Etikett
- State(s)
- ID
- state_code
- Typ
- text
- Etikett
- State Code
- ID
- district_name
- Typ
- text
- Etikett
- District(s)
- ID
- district_code
- Typ
- text
- Etikett
- District Code
- ID
- region
- Typ
- text
- Etikett
- Region
- ID
- population_group
- Typ
- text
- Etikett
- Population Group
- ID
- no_of_offices
- Typ
- numeric
- Etikett
- Number of SCB Offices
- ID
- no_of_accounts
- Typ
- numeric
- Etikett
- Number of Accounts with SCBs
- ID
- deposit_amount
- Typ
- numeric
- Etikett
- Amount deposited
Mer information
| Fält | Värde |
|---|---|
| Data senast uppdaterad | 7 oktober 2023 |
| Metadata senast uppdaterad | 19 december 2025 |
| Skapad | 7 oktober 2023 |
| Format | CSV |
| Licens | Open Data Commons Attribution License |
| Data extraction page | https://dbie.rbi.org.in/BOE/OpenDocument/1608101729/OpenDocument/opendoc/openDocument.faces?logonSuccessful=true&shareId=1 |
| Data insights | Understanding the distribution of deposits across different population groups and regions in India.Identifying areas where additional investment may be needed to improve access to banking services.Analyzing the impact of government policies and economic trends on the banking sector.Identifying opportunities for banks to expand their operations in underserved areas. |
| Data last updated | 2 022 |
| Data retreival date | 2022-09-04 00:00:00 |
| Datastore active | True |
| District no | 717 |
| Frequency | Yearly |
| Geo columns | ['state_code', 'district_code'] |
| Granularity | District |
| Has views | True |
| Id | 991a33ab-67c0-4748-9ded-012f449497be |
| Idp ready | True |
| Lgd mapping | yes |
| Methodology | The District and Population Group-wise Deposits of Scheduled Commercial Banks dataset is sourced from the Reserve Bank of India (RBI) and is updated annually. The data is collected through the submission of monthly and quarterly returns by scheduled commercial banks to the RBI. The data is then aggregated at the district and population group level to produce the final dataset. |
| No indicators | 3 |
| Package id | eb565ca6-aa06-47fd-9c81-05c7ed6c538b |
| Position | 2 |
| Size | 1 MiB |
| Sku | rbi-groupwise_deposits_with_scbs-dt-yr-pop |
| State | active |
| States uts no | 36 |
| Url type | upload |
| Years covered | 2019-2022 |
| Methodology | The District and Population Group-wise Deposits of Scheduled Commercial Banks dataset is sourced from the Reserve Bank of India (RBI) and is updated annually. The data is collected through the submission of monthly and quarterly returns by scheduled commercial banks to the RBI. The data is then aggregated at the district and population group level to produce the final dataset. |
| Indicators | |
| Similar Resources | |
| Granularity Level | District |
| Data Extraction Page | https://dbie.rbi.org.in/BOE/OpenDocument/1608101729/OpenDocument/opendoc/openDocument.faces?logonSuccessful=true&shareId=1 |
| Data Retreival Date | 2022-09-04 00:00:00 |
| Data Last Updated | 2022 |
| Sku | rbi-groupwise_deposits_with_scbs-dt-yr-pop |
| Dataset Frequency | Yearly |
| Years Covered | 2019-2022 |
| No of States/UT(s) | 36 |
| No of Districts | 717 |
| No of Tehsils/blocks | |
| No of Gram Panchayats | |
| Mer information | |
| Number of Indicators | 3 |
| Insights from the dataset | Understanding the distribution of deposits across different population groups and regions in India.Identifying areas where additional investment may be needed to improve access to banking services.Analyzing the impact of government policies and economic trends on the banking sector.Identifying opportunities for banks to expand their operations in underserved areas. |
| IDP Ready | Yes |
| LGD Mapping | Yes |
| Mapping Status % | |
| Geo Columns | ['state_code', 'district_code'] |