Additional Information

Field Value
Data last updated 12 February 2026
Metadata last updated 12 February 2026
Created 12 February 2026
Format CSV
License Open Data Commons Attribution License
Data extraction pagehttps://www.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html
Data insightsThe Time of Occurrence-wise Number of Traffic Accidents dataset provides critical insights into how the time of day influences the frequency and severity of road and railway accidents across India. Data patterns typically reveal higher accident rates during evening and nighttime hours, often linked to reduced visibility, driver fatigue, and increased instances of impaired driving. Daytime hours may show elevated cases due to heavy traffic volume, while early morning accidents can be associated with long-distance travel or reduced alertness. Analyzing time-based trends allows authorities to identify peak accident windows and allocate traffic enforcement and medical response resources more efficiently. Such insights are crucial for data-driven road safety management, guiding initiatives like enhanced street lighting, stricter nighttime enforcement, and awareness campaigns targeting risky driving behaviors during high-risk hours.
Data last updated30-09-2025
Data retreival date02-11-2025
Datastore activeFalse
District no0
FrequencyYearly
Gp no0
GranularityState
Has viewsTrue
Id1dc6abc0-72aa-478c-bc3b-3f1648eb4b70
Idp readyFalse
MethodologyThe Traffic Accidents in India data are compiled and published by the National Crime Records Bureau (NCRB) under the Ministry of Home Affairs, Government of India. The information is collected annually through a standardized reporting process based on the First Information Reports (FIRs) and related police records maintained at the state and district levels. Each reported traffic accident is recorded by local police authorities and categorized according to cause, type of vehicle involved, number of casualties (injured and deceased), and place of occurrence. State Crime Record Bureaus (SCRBs) and District Crime Record Bureaus (DCRBs) aggregate these data and transmit them to the NCRB, which performs data validation, consistency checks, and compilation to ensure accuracy and comparability across states and years.
Mimetypetext/csv
No indicators1
Package id086a0183-52bf-4b08-881c-9b69583402a6
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Size334.3 KiB
Skuncrb-adsi_time_of_occurrence_wise_traffic_accidents-st-yr-def
Stateactive
States uts no36
Tehsil no0
Url typeupload
Village no0
Years covered2018 - 2022
Methodology The Traffic Accidents in India data are compiled and published by the National Crime Records Bureau (NCRB) under the Ministry of Home Affairs, Government of India. The information is collected annually through a standardized reporting process based on the First Information Reports (FIRs) and related police records maintained at the state and district levels. Each reported traffic accident is recorded by local police authorities and categorized according to cause, type of vehicle involved, number of casualties (injured and deceased), and place of occurrence. State Crime Record Bureaus (SCRBs) and District Crime Record Bureaus (DCRBs) aggregate these data and transmit them to the NCRB, which performs data validation, consistency checks, and compilation to ensure accuracy and comparability across states and years.
Indicators
Similar Resources
Granularity Level State
Data Extraction Page https://www.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html
Data Retreival Date 02-11-2025
Data Last Updated 30-09-2025
Sku ncrb-adsi_time_of_occurrence_wise_traffic_accidents-st-yr-def
Dataset Frequency Yearly
Years Covered 2018 - 2022
No of States/UT(s) 36
No of Districts 0
No of Tehsils/blocks 0
No of Gram Panchayats 0
Additional Information
Number of Indicators 1
Insights from the dataset The Time of Occurrence-wise Number of Traffic Accidents dataset provides critical insights into how the time of day influences the frequency and severity of road and railway accidents across India. Data patterns typically reveal higher accident rates during evening and nighttime hours, often linked to reduced visibility, driver fatigue, and increased instances of impaired driving. Daytime hours may show elevated cases due to heavy traffic volume, while early morning accidents can be associated with long-distance travel or reduced alertness. Analyzing time-based trends allows authorities to identify peak accident windows and allocate traffic enforcement and medical response resources more efficiently. Such insights are crucial for data-driven road safety management, guiding initiatives like enhanced street lighting, stricter nighttime enforcement, and awareness campaigns targeting risky driving behaviors during high-risk hours.
IDP Ready No
LGD Mapping
Mapping Status %
Geo Columns