Data Dictionary

ID
id
Type
int4
Label
index

ID
year
Type
text
Label
Year

ID
state_name
Type
text
Label
State Name

ID
state_code
Type
text
Label
State Code

ID
accident_type
Type
text
Label
Accident Type

ID
time
Type
text
Label
Time

ID
day_night
Type
text
Label
Day/Night

ID
number_of_accidents
Type
numeric
Label
Number of Accidents

Additional Information

Field Value
Data last updated February 12, 2026
Metadata last updated February 12, 2026
Created February 12, 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 activeTrue
District no0
FrequencyYearly
Gp no0
GranularityState
Has viewsTrue
Id1dc6abc0-72aa-478c-bc3b-3f1648eb4b70
Idp readyTrue
Indicators['Number of Accidents']
Lgd mappingyes
Mapping status100
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.
No indicators1
Package id086a0183-52bf-4b08-881c-9b69583402a6
Position4
Similar resourcesb068bed3-df55-46fd-ae52-d5d80ef40a20,46000463-50a7-4d2e-90c9-691ec62b3d2d,4aec6071-ae92-4ff8-add2-659e1c7a0f05,4f6bf507-606c-45de-837c-3eaab13f13ee,eb39d353-6784-438a-9309-585d1011d86c,9fc6f915-f978-465c-b6f2-5ce445dbc621,8952c4b0-9bd3-4ae9-a749-e184484bd148,eb47815b-8b33-4f28-a06d-a0cf253d95cc
Size334.3 KiB
Skuncrb-adsi_time_of_occurrence_wise_traffic_accidents-st-yr-def
Stateactive
States uts no36
Tehsil no0
Url typeupload
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 ['Number of Accidents']
Similar Resources
  1. Cases Reported and Persons Injured and Died
  2. Mode of Transport Wise Number of Persons Died in Road Accidents (2018 - 2020)
  3. Mode of Transport Wise Number of Persons Died in Road Accidents (Onwards 2021)
  4. Month of Occurrence Wise Number of Traffic Accidents
  5. Road Classification Wise Number of Road Accidents, Injuries and Deaths
  6. Cause Wise Distribution of Road Accidents and Unmanned Railway Crossing Accidents
  7. Place of Occurrence Wise Road Accident Deaths
  8. Classification of Railway Accidents
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 Yes
LGD Mapping Yes
Mapping Status % 100
Geo Columns