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Bank Outlets and ATM's
The dataset provides a snapshot of the banking infrastructure in India, including both active and inactive branches and ATMs. It provides comprehensive details about bank outlets and ATMs across different regions in India. It includes location information, bank details, and operational status, helping to understand the spread and accessibility of banking services in the country. This dataset is essential for researchers, policymakers, and financial analysts interested in understanding the landscape of banking services in India. It provides valuable insights into the reach and operational status of banking facilities, contributing to studies on financial inclusion and economic development.
Data Dictionary
- ID
- id
- Typ
- int4
- Etikett
- index
- ID
- region
- Typ
- text
- Etikett
- Region
- ID
- center
- Typ
- text
- Etikett
- Center
- ID
- branch
- Typ
- text
- Etikett
- Branch
- ID
- address
- Typ
- text
- Etikett
- Address
- ID
- longitude
- Typ
- numeric
- Etikett
- Longitude
- ID
- lattitude
- Typ
- numeric
- Etikett
- Latitude
- ID
- bank_group
- Typ
- text
- Etikett
- Bank Group
- ID
- population_group
- Typ
- text
- Etikett
- Population Group
- ID
- domestic_overseas
- Typ
- text
- Etikett
- Branch Service Type
- ID
- type
- Typ
- text
- Etikett
- Service Unit
- ID
- status_type
- Typ
- text
- Etikett
- Status
- ID
- bank
- Typ
- text
- Etikett
- Bank Name
- ID
- micrcode
- Typ
- text
- Etikett
- MICR Code
- ID
- license_number
- Typ
- text
- Etikett
- License Number
- ID
- ifsccode
- Typ
- text
- Etikett
- IFSC Code
- ID
- part_1_code
- Typ
- text
- Etikett
- Part-1 Code
- ID
- closed_reason
- Typ
- text
- Etikett
- Reason for Closed
- ID
- license_date
- Typ
- text
- Etikett
- License Date
- ID
- actual_open_date
- Typ
- text
- Etikett
- Open Date
- ID
- state_code
- Typ
- text
- Etikett
- State Code
- ID
- state_name
- Typ
- text
- Etikett
- State Name
- ID
- district_code
- Typ
- text
- Etikett
- District Code
- ID
- district_name
- Typ
- text
- Etikett
- District Name
- ID
- subdistrict_code
- Typ
- text
- Etikett
- Sub District Code
- ID
- subdistrict_name
- Typ
- text
- Etikett
- Sub District Name
Mer information
| Fält | Värde |
|---|---|
| Data senast uppdaterad | 23 oktober 2024 |
| Metadata senast uppdaterad | 19 december 2025 |
| Skapad | 23 oktober 2024 |
| Format | CSV |
| Licens | Open Data Commons Attribution License |
| Additional info | nan |
| Data extraction page | https://data.rbi.org.in/DBIE/#/banking-outlet |
| Data insights | Data Insights that can be drawn from dataset :Geographical Distribution: The dataset allows for analysis of the geographical distribution of bank outlets and ATMs, highlighting areas with high or low banking service penetration.Operational Status: By examining the status of branches and ATMs, one can identify trends in banking infrastructure development and closures.Bank Group Analysis: The data enables comparison between different bank groups (e.g., public sector vs. private sector) in terms of their reach and presence.Service Availability: Insights into the types of services provided (e.g., full-service branches vs. ATMs) and their distribution across different regions.Demographic Correlation: Analysis of the dataset in conjunction with population data can reveal how well banking services are aligned with population density and distribution.Infrastructure Growth: Tracking the license and open dates provides insights into the growth and expansion of banking infrastructure over time. |
| Data last updated | 12-10-2023 |
| Data retreival date | 01-12-2023 |
| Datastore active | True |
| District no | 753 |
| Frequency | Other |
| Geo columns | ['state_code', 'district_code', 'subdistrict_code'] |
| Gp no | 0 |
| Granularity | Point |
| Has views | True |
| Id | 8a4bb25b-3281-4aa5-9d3c-e4a5a7dd8e71 |
| Idp ready | True |
| Methodology | The dataset is compiled by the Reserve Bank of India (RBI) from its extensive network of regulated banks and financial institutions. It includes data on the geographical location, operational status, and other relevant details of bank outlets and ATMs. The information is gathered through regulatory filings, surveys, and administrative records maintained by the RBI. |
| No indicators | 0 |
| Package id | eb565ca6-aa06-47fd-9c81-05c7ed6c538b |
| Position | 11 |
| Size | 492,3 MiB |
| Sku | rbi-bank_outlets_and_atms-pl-ot-aaa |
| State | active |
| States uts no | 34 |
| Tehsil no | 5 989 |
| Url type | upload |
| Years covered | 1900-2023 |
| Methodology | The dataset is compiled by the Reserve Bank of India (RBI) from its extensive network of regulated banks and financial institutions. It includes data on the geographical location, operational status, and other relevant details of bank outlets and ATMs. The information is gathered through regulatory filings, surveys, and administrative records maintained by the RBI. |
| Indicators | [] |
| Similar Resources | |
| Granularity Level | Point |
| Data Extraction Page | https://data.rbi.org.in/DBIE/#/banking-outlet |
| Data Retreival Date | 01-12-2023 |
| Data Last Updated | 12-10-2023 |
| Sku | rbi-bank_outlets_and_atms-pl-ot-aaa |
| Dataset Frequency | Other |
| Years Covered | 1900-2023 |
| No of States/UT(s) | 34 |
| No of Districts | 753 |
| No of Tehsils/blocks | 5989 |
| No of Gram Panchayats | 0 |
| Mer information | nan |
| Number of Indicators | 0 |
| Insights from the dataset | Data Insights that can be drawn from dataset :Geographical Distribution: The dataset allows for analysis of the geographical distribution of bank outlets and ATMs, highlighting areas with high or low banking service penetration.Operational Status: By examining the status of branches and ATMs, one can identify trends in banking infrastructure development and closures.Bank Group Analysis: The data enables comparison between different bank groups (e.g., public sector vs. private sector) in terms of their reach and presence.Service Availability: Insights into the types of services provided (e.g., full-service branches vs. ATMs) and their distribution across different regions.Demographic Correlation: Analysis of the dataset in conjunction with population data can reveal how well banking services are aligned with population density and distribution.Infrastructure Growth: Tracking the license and open dates provides insights into the growth and expansion of banking infrastructure over time. |
| IDP Ready | Yes |
| LGD Mapping | |
| Mapping Status % | |
| Geo Columns | ['state_code', 'district_code', 'subdistrict_code'] |