Name: State and Year-wise Total number and amount of Money Orders booked.
Creator: Dataful (Factly)

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fiscal_year	state	property	number_amount_issued	value	unit	note
2025-26	Andhra Pradesh	Inland Electronic Money Orders booked	Number	185038	value in absolute number	Money order booked for the period 1st January,2025 to 31st December,2025
2025-26	Assam	Inland Electronic Money Orders booked	Number	22017	value in absolute number
2025-26	Bihar	Inland Electronic Money Orders booked	Number	68705	value in absolute number
2025-26	Chhattisgarh	Inland Electronic Money Orders booked	Number	41086	value in absolute number
2025-26	Delhi	Inland Electronic Money Orders booked	Number	30692	value in absolute number
2025-26	Gujarat	Inland Electronic Money Orders booked	Number	577940	value in absolute number
2025-26	Haiyana	Inland Electronic Money Orders booked	Number	33712	value in absolute number
2025-26	Himachal Pradesh	Inland Electronic Money Orders booked	Number	62183	value in absolute number
2025-26	Jammu and Kashmir	Inland Electronic Money Orders booked	Number	23689	value in absolute number
2025-26	Jharkhand	Inland Electronic Money Orders booked	Number

Citation

Ministry of Statistics and Programme Implementation. State and Year-wise Total number and amount of Money Orders booked. [Data set]. Dataful. https://dataful.in/datasets/892

Name	Number of Distinct Values	Number of Unique Values	Type	Count
fiscal_year	17	17	String	738
state	25	25	String	738
property	2	2	String	738
number_amount_issued	2	2	String	738
value	545	545	Float64	738
unit	3	3	String	738
note	4	4	String	163

State and Year-wise Total number and amount of Money Orders booked.

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State and Year-wise Total number and amount of Money Orders booked.

State and Year-wise Total number and amount of Money Orders booked.

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State and Year-wise Total number and amount of Money Orders booked.

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State and Year-wise Total number and amount of Money Orders booked.

State and Year-wise Total number and amount of Money Orders booked.

Data Preview

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Number of Rows

Number of Columns

Time Period

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Organisation

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Update FrequencyUpdate Frequency At Source

Last UpdatedLast Updated at Dataful

Granularity

Time Saved

Units

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