The dataset contains year-, state- and city-wise compiled data on the number of road accidents, persons injured, including grievously injured, and killed due to different types of weather conditions such as hail or sleet, sunny or clear, rainy, foggy or misty, cloudy, snowfall, dust storm, snow, strong wind, other extraordinary weather condition, light or heavy rain, flooding of slipways/rivulets,...
| year | state | city | type_of_weather_condition | category | value | unit | note |
|---|---|---|---|---|---|---|---|
| 2022 | Uttar Pradesh | Agra | Hail or Sleet | Total Accidents | 3 | value in absolute number | |
| 2022 | Kerala | Malappuram | Rainy | Total Killed | 11 | value in absolute number | |
| 2022 | Chhattisgarh | Raipur | Rainy | Total Killed | 71 | value in absolute number | |
| 2022 | Maharashtra | Pune | Rainy | Total Killed | 39 | value in absolute number | |
| 2022 | Bihar | Patna | Rainy | Total Killed | 37 | value in absolute number | |
| 2022 | Maharashtra | Nashik | Rainy | Total Killed | 14 | value in absolute number | |
| 2022 | Maharashtra | Nagpur | Rainy | Total Killed | 0 | value in absolute number | |
| 2022 | Maharashtra | Mumbai | Rainy | Total Killed | 85 | value in absolute number | |
| 2022 | Uttar Pradesh | Meerut | Rainy | Total Killed | 19 | value in absolute number | |
| 2022 | Tamil Nadu | Madurai | Rainy | Total Killed | 0 | value in absolute number |
Ministry of Road Transport and Highways. Road Accidents: Year-, State- and City-wise Number of Accidents, Persons Injured and Killed by Types of Weather Conditions [Data set]. Dataful. https://dataful.in/datasets/19596
