Mobile Banking Statistics
The "Mobile Banking Statistics" dataset is sourced from the Reserve Bank of India, the country's central banking institution. This dataset offers monthly insights into the usage patterns, preferences, and transaction volumes for various banks in the mobile banking domain. It sheds light on the increasing trend of mobile banking in India and provides a granular view by showcasing data from individual banking institutions.
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 info | nan |
Data extraction page | https://rbi.org.in/Scripts/NEFTView.aspx |
Data insights | 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. |
Data last updated | 2025-03-01 00:00:00 |
Data retreival date | 2025-04-15 |
Datastore active | True |
Frequency | Monthly |
Granularity | Bank |
Has views | True |
Id | 7db4c888-ac0c-4820-9982-c4ea04307f4b |
Idp ready | True |
Lgd mapping | na |
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. |
Mimetype | text/csv |
No indicators | 3 |
Package id | eb565ca6-aa06-47fd-9c81-05c7ed6c538b |
Position | 9 |
Size | 2.9 MiB |
Sku | rbi-bankwise_mobile_banking_transactions-in-mn-aaa |
State | active |
Tags | ['Digital Transactions', 'Mobile Banking', 'Banking Trends'] |
Url type | upload |
Years covered | 2013-2025 |
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 |