Dicionario de datos

ID
id
Tipo
int4
Etiqueta
index

ID
region
Tipo
text
Etiqueta
Region

ID
center
Tipo
text
Etiqueta
Center

ID
branch
Tipo
text
Etiqueta
Branch

ID
address
Tipo
text
Etiqueta
Address

ID
longitude
Tipo
numeric
Etiqueta
Longitude

ID
lattitude
Tipo
numeric
Etiqueta
Latitude

ID
bank_group
Tipo
text
Etiqueta
Bank Group

ID
population_group
Tipo
text
Etiqueta
Population Group

ID
domestic_overseas
Tipo
text
Etiqueta
Branch Service Type

ID
type
Tipo
text
Etiqueta
Service Unit

ID
status_type
Tipo
text
Etiqueta
Status

ID
bank
Tipo
text
Etiqueta
Bank Name

ID
micrcode
Tipo
text
Etiqueta
MICR Code

ID
license_number
Tipo
text
Etiqueta
License Number

ID
ifsccode
Tipo
text
Etiqueta
IFSC Code

ID
part_1_code
Tipo
text
Etiqueta
Part-1 Code

ID
closed_reason
Tipo
text
Etiqueta
Reason for Closed

ID
license_date
Tipo
text
Etiqueta
License Date

ID
actual_open_date
Tipo
text
Etiqueta
Open Date

ID
state_code
Tipo
text
Etiqueta
State Code

ID
state_name
Tipo
text
Etiqueta
State Name

ID
district_code
Tipo
text
Etiqueta
District Code

ID
district_name
Tipo
text
Etiqueta
District Name

ID
subdistrict_code
Tipo
text
Etiqueta
Sub District Code

ID
subdistrict_name
Tipo
text
Etiqueta
Sub District Name

Información adicional

Campo Valor
Última actualización de datos 23 de outubro de 2024
Última actualización de metadatos 19 de febreiro de 2025
Creado 23 de outubro de 2024
Formato CSV
Licenza Open Data Commons Attribution License
Additional infonan
Data extraction pagehttps://data.rbi.org.in/DBIE/#/banking-outlet
Data insightsData 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 updated12-10-2023
Data retreival date01-12-2023
Datastore activeTrue
District no753
FrequencyOther
Gp no0
GranularityPoint
Has viewsTrue
Id8a4bb25b-3281-4aa5-9d3c-e4a5a7dd8e71
Idp readyTrue
MethodologyThe 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 indicators0
Package ideb565ca6-aa06-47fd-9c81-05c7ed6c538b
Position11
Size492,3 MiB
Skurbi-bank_outlets_and_atms-pl-ot-aaa
Stateactive
States uts no34
Tehsil no5.989
Url typeupload
Years covered1900-2023