The dataset contains statewise information on the losses incurred due to floods and heavy rains. Loss of lives, cattle, damage to houses, crops, and public utilities has been recorded.
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Sample from the dataset, for your reference.
The dataset contains statewise information on the losses incurred due to floods and heavy rains. Loss of lives, cattle, damage to houses, crops, and public utilities has been recorded.
| year | state | damage_type | value | units | notes |
|---|---|---|---|---|---|
| 2023 | All India | Area Affected | 2.95 | value in million hectares | |
| 2023 | All India | Population Affected | 6.4 | value in million | |
| 2023 | All India | Districts Affected | 428 | value in absolute number | |
| 2023 | All India | Villages Affected | 16095 | value in absolute number | |
| 2023 | All India | Area of Crops Damaged | 0.98 | value in million hectares | |
| 2023 | All India | Monetary Damage to Crops | 1408.49 | value in rupees crore | |
| 2023 | All India | Houses Damaged | 120659 | value in absolute number | |
| 2023 | All India | Monetary Damage to Houses | 26.96 | value in rupees crore | |
| 2023 | All India | Cattle Lost | 298725 | value in absolute number | |
| 2023 | All India | Human Lives Lost | 4472 | value in absolute number |
Sample from the dataset, for your reference.
This dataset is part of the below collection.
