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Cause Wise Distribution of Road Accidents and...
The Cause-wise Distribution of Road Accidents and Unmanned Railway Crossing Accidents dataset, published by the National Crime Records Bureau (NCRB) under the Accidental Deaths and Suicides in India (ADSI) reports, provides a detailed classification of traffic accidents across India based on their underlying causes. It includes data on road accidents attributed to factors such as overspeeding, drunken driving, driver fatigue, mechanical failure, bad weather, and road conditions, as well as accidents occurring at unmanned railway crossings.
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 page | https://www.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html |
| Data insights | 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. |
| Data last updated | 30-09-2025 |
| Data retreival date | 02-11-2025 |
| Datastore active | False |
| District no | 0 |
| Frequency | Yearly |
| Gp no | 0 |
| Granularity | State |
| Has views | True |
| Id | 9fc6f915-f978-465c-b6f2-5ce445dbc621 |
| Idp ready | False |
| 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. |
| Mimetype | text/csv |
| No indicators | 3 |
| Package id | 086a0183-52bf-4b08-881c-9b69583402a6 |
| Position | 6 |
| Size | 201.8 KiB |
| Sku | ncrb-adsi_cause_wise_road_accidents_and_unmanned_railway_crossings_accidents-st-yr-def |
| State | active |
| States uts no | 36 |
| Tehsil no | 0 |
| Url type | upload |
| Village no | 0 |
| Years covered | 2018-2022 |
| 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 |