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Calendar Year-wise Import and Export Data of 2,4,6 and 8 HS level commodities of HS Code 11- Products of the Milling Industry; Malt; Starches; Inulin; Wheat Gluten.
Fiscal Year-wise Import and Export Data of 2,4,6 and 8 HS level commodities of HS Code 11- Products of the Milling Industry; Malt; Starches; Inulin; Wheat Gluten.

Search results for "Mill" : 251 datasets

Datasets

Year, Country of Visit and Event-wise Foreign Visits by Prime Minister

HFIExclusive

Organisation

Ministry of External Affairs

Time Saved

6 hours

Granularity

Year, Country, Event

Time Period

1999 to 2026

Dataset Info

Road Accidents: Year-, State- and City-wise Number of Accidents, Persons Injured and Killed by Types of Weather Conditions

Exclusive

Organisation

Ministry of Road Transport and Highways

Time Saved

6 hours

Granularity

State, City

Time Period

2019 to 2023

Dataset Info

Year-wise Passenger Fatalities, Injuries, Casualties per Million Passengers Carried and Incidence of Train Accidents per Million Train kilometres in Indian Railways due to Consequential Train Accidents

Exclusive

Organisation

Ministry of Railways

Time Saved

4 hours

Granularity

Fiscal Year, All India

Time Period

1965-66, 1970-71, 1975-76, 1980-81,1985-86, 1990-91 to 2023-24

Dataset Info

Traffic Accidents and Deaths from NCRB: Year, State, City and Cause wise Number of Cases, Injured and Deaths in Road Accidents and Unmanned Railway Crossing Accidents

Organisation

National Crime Record Bureau

Time Saved

6 hours

Granularity

Year, State, City, Cause

Time Period

2014 to 2024

Dataset Info

Calendar Year-wise Import and Export Data of 2,4,6 and 8 HS level commodities of HS Code 11- Products of the Milling Industry; Malt; Starches; Inulin; Wheat Gluten.

Organisation

Ministry of Commerce and Industry

Time Saved

3.5 hours

Granularity

Year, HS Code

Time Period

2007 to 2026

Dataset Info

Fiscal Year-wise Import and Export Data of 2,4,6 and 8 HS level commodities of HS Code 11- Products of the Milling Industry; Malt; Starches; Inulin; Wheat Gluten.

Organisation

Ministry of Commerce and Industry

Time Saved

3.5 hours

Granularity

Year, HS Code

Time Period

2006-07 to 2025-26

Dataset Info

Master Data: Year and State and Crop-wise Area, Production and Yield Data for each year

Organisation

Ministry of Agriculture and Farmers Welfare

Time Saved

2.5 hours

Granularity

Yearly, State

Time Period

1997-98 to 2024-25

Dataset Info

Year, State, District and Season wise Area, Production and Yield Statistics for Small Millets

Organisation

Ministry of Agriculture and Farmers Welfare

Time Saved

6 hours

Granularity

Fiscal Year, State, District, Season

Time Period

1997-98 to 2024-25

Dataset Info

Currency: Weekly India's Tranche Position and Value of Foreign Exchange Reserves - Gold, SDRs, and Assets

HFI

Organisation

Reserve Bank of India

Time Saved

4.5 hours

Granularity

Weekly

Time Period

2001 to 2026

Dataset Info

Year and Month wise Foreign Exchange Reserves namely Foreign Currency Assets, Gold, Reserve Tranche Position and Special Drawing Rights (SDR)

HFI

Organisation

Reserve Bank of India

Time Saved

4.5 hours

Granularity

Yearly, Monthly

Time Period

1989-90 to 2025-26

Dataset Info

Traffic Accidents and Deaths from NCRB: Year, State, City and Time of Occurrence wise Number of Road Accidents, Railway Accidents and Railway Crossing Accidents

Organisation

National Crime Record Bureau

Time Saved

6 hours

Granularity

Year, State, City, Accident Type, Time

Time Period

2014 to 2024

Dataset Info

Traffic Accidents and Deaths from NCRB: Year, State, Region, City and Gender wise Number of Deaths by Place of Accident Occurrence

Organisation

National Crime Record Bureau

Time Saved

6 hours

Granularity

Year, State, City, Region, Gender, Accident Place

Time Period

2014 to 2024

Dataset Info

AI Results

Search results for "Mill" : 251 datasets

Datasets

Year, Country of Visit and Event-wise Foreign Visits by Prime Minister

Organisation

Time Saved

Granularity

Time Period

Road Accidents: Year-, State- and City-wise Number of Accidents, Persons Injured and Killed by Types of Weather Conditions

Organisation

Time Saved

Granularity

Time Period

👉🏻 'CSR Insights' by Dataful: Chat with India’s CSR Data

Year-wise Passenger Fatalities, Injuries, Casualties per Million Passengers Carried and Incidence of Train Accidents per Million Train kilometres in Indian Railways due to Consequential Train Accidents

Organisation

Time Saved

Granularity

Time Period

Traffic Accidents and Deaths from NCRB: Year, State, City and Cause wise Number of Cases, Injured and Deaths in Road Accidents and Unmanned Railway Crossing Accidents

Organisation

Time Saved

Granularity

Time Period

Calendar Year-wise Import and Export Data of 2,4,6 and 8 HS level commodities of HS Code 11- Products of the Milling Industry; Malt; Starches; Inulin; Wheat Gluten.

Organisation

Time Saved

Granularity

Time Period

Fiscal Year-wise Import and Export Data of 2,4,6 and 8 HS level commodities of HS Code 11- Products of the Milling Industry; Malt; Starches; Inulin; Wheat Gluten.

Organisation

Time Saved

Granularity

Time Period

Master Data: Year and State and Crop-wise Area, Production and Yield Data for each year

Organisation

Time Saved

Granularity

Time Period

Year, State, District and Season wise Area, Production and Yield Statistics for Small Millets

Organisation

Time Saved

Granularity

Time Period

Currency: Weekly India's Tranche Position and Value of Foreign Exchange Reserves - Gold, SDRs, and Assets

Organisation

Time Saved

Granularity

Time Period

Year and Month wise Foreign Exchange Reserves namely Foreign Currency Assets, Gold, Reserve Tranche Position and Special Drawing Rights (SDR)

Organisation

Time Saved

Granularity

Time Period

Traffic Accidents and Deaths from NCRB: Year, State, City and Time of Occurrence wise Number of Road Accidents, Railway Accidents and Railway Crossing Accidents

Organisation

Time Saved

Granularity

Time Period

Traffic Accidents and Deaths from NCRB: Year, State, Region, City and Gender wise Number of Deaths by Place of Accident Occurrence

Organisation

Time Saved

Granularity

Time Period