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
cause
Type
text
Label
Cause

ID
cases
Type
numeric
Label
Number of Cases

ID
injured
Type
numeric
Label
Number of Injured

ID
died
Type
numeric
Label
Number of Dead

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 Cause-wise Distribution of Road Accidents and Unmanned Railway Crossing Accidents dataset provides critical insights into the root causes of road traffic and railway crossing accidents, enabling evidence-based approaches to accident prevention. Analysis of national trends reveals that overspeeding and driver negligence are consistently the leading causes of road accidents, contributing to the majority of fatalities and injuries. Drunken driving, mobile phone usage, and fatigue-related incidents also emerge as major behavioral risk factors. At unmanned railway crossings, accidents often result from lack of warning systems, poor visibility, and non-compliance with safety rules, leading to high fatality rates in rural and semi-urban regions. Cause-specific analysis helps identify where to focus enforcement such as stricter speed regulation, awareness campaigns on drunk driving, or conversion of unmanned crossings into manned or automated ones.
Data last updated30-09-2025
Data retreival date02-11-2025
Datastore activeTrue
District no0
FrequencyYearly
Gp no0
GranularityState
Has viewsTrue
Id9fc6f915-f978-465c-b6f2-5ce445dbc621
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 indicators3
Package id086a0183-52bf-4b08-881c-9b69583402a6
Position6
Size201.8 KiB
Skuncrb-adsi_cause_wise_road_accidents_and_unmanned_railway_crossings_accidents-st-yr-def
Stateactive
States uts no36
Tags['Cause-wise Road Accidents', 'Unmanned Railway Crossing Accidents', 'NCRB ADSI', 'Overspeeding and Drunken Driving', 'Transport Safety Analysis', 'Road and Rail Accident Prevention', 'Public Safety Policy India', 'Accident Cause Statistics']
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_cause_wise_road_accidents_and_unmanned_railway_crossings_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 3
Insights from the dataset The Cause-wise Distribution of Road Accidents and Unmanned Railway Crossing Accidents dataset provides critical insights into the root causes of road traffic and railway crossing accidents, enabling evidence-based approaches to accident prevention. Analysis of national trends reveals that overspeeding and driver negligence are consistently the leading causes of road accidents, contributing to the majority of fatalities and injuries. Drunken driving, mobile phone usage, and fatigue-related incidents also emerge as major behavioral risk factors. At unmanned railway crossings, accidents often result from lack of warning systems, poor visibility, and non-compliance with safety rules, leading to high fatality rates in rural and semi-urban regions. Cause-specific analysis helps identify where to focus enforcement such as stricter speed regulation, awareness campaigns on drunk driving, or conversion of unmanned crossings into manned or automated ones.
IDP Ready No
LGD Mapping
Mapping Status %
Geo Columns