Dicionário de Dados

ID
id
Tipo
int4
Rótulo
index

ID
month
Tipo
date
Rótulo
Month

ID
bank_name
Tipo
text
Rótulo
Bank Name

ID
no_of_transactions
Tipo
numeric
Rótulo
Transaction Volume

ID
amt_of_transactions
Tipo
numeric
Rótulo
Aggregate Transaction Value

ID
active_users
Tipo
numeric
Rótulo
Active Users

Informações Adicionais

Campo Valor
Dados atualizados pela última vez 23 de fevereiro de 2026
Metadados atualizados pela última vez 23 de fevereiro de 2026
Criado 9 de outubro de 2023
Formato CSV
Licença Open Data Commons Attribution License
Additional infonan
Data extraction pagehttps://rbi.org.in/Scripts/NEFTView.aspx
Data insightsThe dataset allows stakeholders to comprehend the adoption and utilization trends of internet banking across different banks in India. By analyzing the transaction volume and aggregate transaction value, one can discern patterns related to the frequency and size of transactions carried out through internet banking. It provides a perspective on how reliant and comfortable consumers are in transacting significant amounts online. Banks with higher active users indicate a more substantial customer base that prefers internet banking, which can be indicative of user-friendly interfaces, better online banking features, or effective online security measures of these banks. By monitoring these numbers over time, one can infer the growth rate or decline of internet banking usage for individual banks. Comparing the 'Active Users' metric with 'Transaction Volume' can offer insights into user behavior. For instance, a bank with a high number of active users but a relatively low transaction volume might indicate that while many users have adopted online banking, they might be using it for limited purposes or with less frequency.
Data last updated2026-02-17 00:00:00
Data retreival date2026-02-17 00:00:00
Datastore activeTrue
FrequencyMonthly
GranularityBank
Has viewsTrue
Id41184d46-105d-49dc-89d6-8b52185ee6ee
Idp readyTrue
Lgd mappingna
MethodologyData for the Internet Banking Statistics is collated by the Reserve Bank of India from the reporting of individual banks.
Mimetypetext/csv
No indicators3
Package ideb565ca6-aa06-47fd-9c81-05c7ed6c538b
Position7
Size320,4 KiB
Skurbi-bankwise_internet_banking_transactions-in-mn-aaa
Stateactive
Tags['Internet Banking', 'Banking Trends', 'Transactions']
Url typeupload
Years covered2022-2025
Methodology Data for the Internet Banking Statistics is collated by the Reserve Bank of India from the reporting of individual banks.
Indicators
Similar Resources
Granularity Level Bank
Data Extraction Page https://rbi.org.in/Scripts/NEFTView.aspx
Data Retreival Date 2026-02-17 00:00:00
Data Last Updated 2026-02-17 00:00:00
Sku rbi-bankwise_internet_banking_transactions-in-mn-aaa
Dataset Frequency Monthly
Years Covered 2022-2025
No of States/UT(s)
No of Districts
No of Tehsils/blocks
No of Gram Panchayats
Informações Adicionais nan
Number of Indicators 3
Insights from the dataset The dataset allows stakeholders to comprehend the adoption and utilization trends of internet banking across different banks in India. By analyzing the transaction volume and aggregate transaction value, one can discern patterns related to the frequency and size of transactions carried out through internet banking. It provides a perspective on how reliant and comfortable consumers are in transacting significant amounts online. Banks with higher active users indicate a more substantial customer base that prefers internet banking, which can be indicative of user-friendly interfaces, better online banking features, or effective online security measures of these banks. By monitoring these numbers over time, one can infer the growth rate or decline of internet banking usage for individual banks. Comparing the 'Active Users' metric with 'Transaction Volume' can offer insights into user behavior. For instance, a bank with a high number of active users but a relatively low transaction volume might indicate that while many users have adopted online banking, they might be using it for limited purposes or with less frequency.
IDP Ready Yes
LGD Mapping Not Applicable
Mapping Status %
Geo Columns []