Data Dictionary

ID
id
Type
int4
Label
index

ID
month
Type
date
Label
Month

ID
bank_name
Type
text
Label
Bank Name

ID
no_of_transactions
Type
numeric
Label
Transaction Volume

ID
amt_of_transactions
Type
numeric
Label
Aggregate Transaction Value

ID
no_of_active_costumers
Type
numeric
Label
Active Users

Additional Information

Field Value
Data last updated May 2, 2025
Metadata last updated May 2, 2025
Created October 9, 2023
Format CSV
License Open Data Commons Attribution License
Additional infonan
Data extraction pagehttps://rbi.org.in/Scripts/NEFTView.aspx
Data insightsThe "Mobile Banking Statistics" dataset provides a rich tapestry of insights into the evolving landscape of mobile banking in India. By undertaking a month-to-month trend analysis, it becomes feasible to chart the trajectory of mobile banking's growth or decline. This continuous tracking could be instrumental in correlating fluctuations with external events, marketing campaigns, or regulatory changes that might have impacted user behavior. Bank-specific insights stand out prominently. By diving deep into the dataset, stakeholders can determine which banking institutions are trailblazers in the mobile banking arena. Such insights are gauged both in terms of transaction volume and the aggregate value of transactions. This distinction enables a nuanced understanding, differentiating banks that handle a larger number of smaller transactions from those facilitating fewer, high-value transactions. A critical component of the dataset is the data on 'Active Users'. This metric serves as a barometer for user engagement and the overall penetration of mobile banking solutions among specific banks' clientele. A rise or fall in active users can signal shifts in user preferences, the effectiveness of user engagement strategies, or the emergence of newer, more competitive mobile banking platforms.
Data last updated2025-03-01 00:00:00
Data retreival date2025-04-15
Datastore activeTrue
FrequencyMonthly
GranularityBank
Has viewsTrue
Id7db4c888-ac0c-4820-9982-c4ea04307f4b
Idp readyTrue
Lgd mappingna
MethodologyThe data has been compiled by the Reserve Bank of India, which likely collates this information from periodic reports submitted by the banks operating within the country.
Mimetypetext/csv
No indicators3
Package ideb565ca6-aa06-47fd-9c81-05c7ed6c538b
Position9
Size2.9 MiB
Skurbi-bankwise_mobile_banking_transactions-in-mn-aaa
Stateactive
Tags['Digital Transactions', 'Mobile Banking', 'Banking Trends']
Url typeupload
Years covered2013-2025
Methodology The data has been compiled by the Reserve Bank of India, which likely collates this information from periodic reports submitted by the banks operating within the country.
Indicators
Similar Resources
Granularity Level Bank
Data Extraction Page https://rbi.org.in/Scripts/NEFTView.aspx
Data Retreival Date 2025-04-15
Data Last Updated 2025-03-01 00:00:00
Sku rbi-bankwise_mobile_banking_transactions-in-mn-aaa
Dataset Frequency Monthly
Years Covered 2013-2025
No of States/UT(s)
No of Districts
No of Tehsils/blocks
No of Gram Panchayats
Additional Information nan
Number of Indicators 3
Insights from the dataset The "Mobile Banking Statistics" dataset provides a rich tapestry of insights into the evolving landscape of mobile banking in India. By undertaking a month-to-month trend analysis, it becomes feasible to chart the trajectory of mobile banking's growth or decline. This continuous tracking could be instrumental in correlating fluctuations with external events, marketing campaigns, or regulatory changes that might have impacted user behavior. Bank-specific insights stand out prominently. By diving deep into the dataset, stakeholders can determine which banking institutions are trailblazers in the mobile banking arena. Such insights are gauged both in terms of transaction volume and the aggregate value of transactions. This distinction enables a nuanced understanding, differentiating banks that handle a larger number of smaller transactions from those facilitating fewer, high-value transactions. A critical component of the dataset is the data on 'Active Users'. This metric serves as a barometer for user engagement and the overall penetration of mobile banking solutions among specific banks' clientele. A rise or fall in active users can signal shifts in user preferences, the effectiveness of user engagement strategies, or the emergence of newer, more competitive mobile banking platforms.
IDP Ready Yes
LGD Mapping Not Applicable