Name: Year-, Month-, Volume and Value of Transactions performed through UPI
Creator: Dataful (Factly)

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fiscal_year	month	total_volume	avg_volume	total_value	avg_value	units
2026-27	July	17766.24	807.5564	2276541.42	103479.1555	total_volume in millions, avg_volume in millions, total_value in rupees crores, avg_value in rupees crores
2026-27	June	22716.08	757.2027	2892138.66	96404.622	total_volume in millions, avg_volume in millions, total_value in rupees crores, avg_value in rupees crores
2026-27	May	23201.95	748.45	2990424.18	96465.2961	total_volume in millions, avg_volume in millions, total_value in rupees crores, avg_value in rupees crores
2026-27	April	22346.8	744.8932	2902988.05	96766.2683	total_volume in millions, avg_volume in millions, total_value in rupees crores, avg_value in rupees crores
2025-26	March	22641.14	730.3594	2952542.03	95243.2913	total_volume in millions, avg_volume in millions, total_value in rupees crores, avg_value in rupees crores

Metadata

Name	Number of Distinct Values	Number of Unique Values	Type	Count
fiscal_year	6	6	String	63
month	12	12	String	63
total_volume	63

Citation

National Payments Corporation of India. Year-, Month-, Volume and Value of Transactions performed through UPI [Data set]. Dataful. https://dataful.in/datasets/22480

Year-, Month-, Volume and Value of Transactions performed through UPI

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Year-, Month-, Volume and Value of Transactions performed through UPI

Year-, Month-, Volume and Value of Transactions performed through UPI

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Time Saved

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Year-, Month-, Volume and Value of Transactions performed through UPI

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Citation

Year-, Month-, Volume and Value of Transactions performed through UPI

Year-, Month-, Volume and Value of Transactions performed through UPI

Data Preview

Metadata

Related Datasets

Year, Month and State wise Volume and Value of UPI Transaction Statistics

Organisation

Time Period

Tags

Citation

Dataset Overview

Number of Rows

Number of Columns

Time Period

Sectors

Organisation

Sources

Update FrequencyUpdate Frequency At Source

Last UpdatedLast Updated at Dataful

Granularity

Time Saved

Units

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