Road Accidents: Year- and State-wise Number of Accidents, Persons Injured and Killed by Types of Weather Conditions
The dataset contains year- and state-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, very hot or cold, etc.
Road Accidents: Year- and State-wise Number of Accidents, Persons Injured and Killed by Types of Weather Conditions
The dataset contains year- and state-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, very hot or cold, etc.
The calendar year to which the road accident statistics pertain.
state
String
39
10077
The Indian state or union territory for which the accident data is reported, including an aggregate 'All India' level.
type_of_weather_condition
String
15
10077
The weather condition prevailing at the time of the road accident, such as clear, fog, rain, or hail.
category
String
5
10077
The type of casualty being measured: number of accidents, persons grievously injured, or persons killed.
value
Float64
2809
9990
The absolute count of accidents, injured persons, or killed persons for the given weather condition, state, and year.
unit
String
2
9990
The unit of measurement for the value, expressed as an absolute number.
note
String
6
24
Supplementary remarks or footnotes accompanying the data record, if any.
Citation
Ministry of Road Transport and Highways. (2026). Road Accidents: Year- and State-wise Number of Accidents, Persons Injured and Killed by Types of Weather Conditions [Data set]. Dataful. https://dataful.in/datasets/19595