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Bank Outlets and ATM's
Descrição do conjunto de dados:
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...
Fonte: Bank Outlets and ATM's
Informações Adicionais
| Campo | Valor |
|---|---|
| Dados atualizados pela última vez | 31 de dezembro de 2024 |
| Metadados atualizados pela última vez | 31 de dezembro de 2024 |
| Criado | 31 de dezembro de 2024 |
| Formato | desconhecido |
| Licença | License not specified |
| 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 | False |
| District no | 753 |
| Frequency | Other |
| Granularity | Point |
| Has views | False |
| Id | 61702231-d96b-4f3b-bc26-f1938cf6438e |
| Idp ready | False |
| Lgd mapping | yes |
| No indicators | 2 |
| Package id | 77c3e42d-bb12-4e5e-ad53-16b6805c6cf5 |
| Position | 0 |
| Sku | rbi-bank_outlets_and_atms-pl-ot-aaa |
| State | active |
| States uts no | 34 |
| Tehsil no | 5.989 |
| Years covered | 1900-2023 |
| Methodology | |
| 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 | |
| Informações Adicionais | |
| Number of Indicators | 2 |
| 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 | No |
| LGD Mapping | Yes |
| Mapping Status % | |
| Geo Columns |