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
Additional infoThis dataset does not include data belongs to the year 2022.
Data extraction pagehttps://www.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html
Data insightsThe Classification of Railway Accidents dataset reveals crucial insights into the nature, frequency, and severity of railway accidents in India. Analysis typically shows that derailments and accidents at level crossings contribute significantly to overall casualties, particularly in regions with high rail traffic density and limited safety automation. Unmanned level crossings often emerge as key points of vulnerability, accounting for a notable share of fatalities due to human error, inadequate warning systems, and poor visibility conditions. The Classification of Railway Accidents dataset also helps distinguish between operational causes (e.g., equipment failure, signaling errors) and external causes (e.g., track obstruction, weather, or trespassing). These insights can guide the Indian Railways and state governments in implementing safety modernization programs, including the elimination of unmanned crossings, track renewal, advanced signaling systems, and public awareness campaigns. By analyzing historical and regional patterns, stakeholders can better allocate resources to high-risk zones and improve rail safety management practices nationwide.
Data last updated30-09-2025
Data retreival date03-11-2025
Datastore activeTrue
District no0
FrequencyYearly
Gp no0
GranularityState
Has viewsTrue
Ideb47815b-8b33-4f28-a06d-a0cf253d95cc
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
Position8
Size43.8 KiB
Skuncrb-adsi_railway_accidents_classification-st-yr-def
Stateactive
States uts no36
Tags['Railway Accident Statistics India', 'NCRB ADSI', 'Train Collisions and Derailments', 'Level Crossing Accidents', 'Rail Safety Analysis', 'Operational and Human Error in Railways', 'Public Transport Safety India', 'Railway Infrastructure and Accident Prevention']
Tehsil no0
Url typeupload
Village no0
Years covered2018 - 2021
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 03-11-2025
Data Last Updated 30-09-2025
Sku ncrb-adsi_railway_accidents_classification-st-yr-def
Dataset Frequency Yearly
Years Covered 2018 - 2021
No of States/UT(s) 36
No of Districts 0
No of Tehsils/blocks 0
No of Gram Panchayats 0
Additional Information This dataset does not include data belongs to the year 2022.
Number of Indicators 3
Insights from the dataset The Classification of Railway Accidents dataset reveals crucial insights into the nature, frequency, and severity of railway accidents in India. Analysis typically shows that derailments and accidents at level crossings contribute significantly to overall casualties, particularly in regions with high rail traffic density and limited safety automation. Unmanned level crossings often emerge as key points of vulnerability, accounting for a notable share of fatalities due to human error, inadequate warning systems, and poor visibility conditions. The Classification of Railway Accidents dataset also helps distinguish between operational causes (e.g., equipment failure, signaling errors) and external causes (e.g., track obstruction, weather, or trespassing). These insights can guide the Indian Railways and state governments in implementing safety modernization programs, including the elimination of unmanned crossings, track renewal, advanced signaling systems, and public awareness campaigns. By analyzing historical and regional patterns, stakeholders can better allocate resources to high-risk zones and improve rail safety management practices nationwide.
IDP Ready No
LGD Mapping
Mapping Status %
Geo Columns