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  • Rolling stock in locomotives of Indian Railways
  • Year wise Damage to railway property due to railway accidents

Search results for "rolling stock damages" : 7 datasets

Datasets

Year wise Damage to railway property due to railway accidents

Organisation

Ministry of Railways

Time Saved

3 hours

Granularity

All India

Time Period

2012-13 to 2023-24

Dataset Info

Master Data: Year and Broad Cause-wise Trend of Consequential Train Accidents on Indian Railways

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Organisation

Ministry of Railways

Time Saved

6 hours

Granularity

All India, Year

Time Period

2000-01 to 2023-24

Dataset Info

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

CSR Insights is an AI-powered platform that helps you instantly explore and analyse CSR data from thousands of companies across India. Chat with the data to uncover trends, compare spending across sectors, and gain actionable insights. Powered by GoPie, with data from Dataful, both products of Factly.
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Rolling stock in locomotives of Indian Railways

Organisation

Ministry of Railways

Time Saved

2.5 hours

Granularity

All India

Time Period

1950-51, 1960-61,1970-71,1980-81, 1990-91,2000-01, 2010-11, 2012-13 to 2023-24

Dataset Info

Fiscal Year-wise Import and Export Data of 2,4,6 and 8 HS level commodities of HS Code 86

Organisation

Ministry of Commerce and Industry

Time Saved

3.5 hours

Granularity

Yearly, HS Code

Time Period

2006-07 to 2024-25

Dataset Info

Fiscal Year-wise Import and Export Data of 2,4,6 and 8 HS level commodities of HS Code 87

Organisation

Ministry of Commerce and Industry

Time Saved

3.5 hours

Granularity

Yearly, HS Code

Time Period

2006-07 to 2024-25

Dataset Info

Calendar Year-wise Import and Export Data of 2,4,6 and 8 HS level commodities of HS Code 87

Organisation

Ministry of Commerce and Industry

Time Saved

3.5 hours

Granularity

Yearly, HS Code

Time Period

2007 to 2024

Dataset Info

Electricity Transactions: Day-wise Short-term Electricity Transactions Performed in India

HFI

Organisation

Ministry of Power

Time Saved

6 hours

Granularity

Daily

Time Period

2008 to 2025

Dataset Info