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 |
Ministry of Jal Shakti. Year and State-wise Damages/Losses incurred due to Floods and Heavy Rains [Data set]. Dataful. https://dataful.in/datasets/1260
| 71 |
| 71 |
| Int64 |
| 27098 |
| state | 39 | 39 | String | 27098 |
| damage_type | 14 | 14 | String | 27098 |
| value | 5775 | 5775 | String | 15610 |
| units | 4 | 4 | String | 27098 |
| notes | 1 | 1 | String | 0 |
