Cause Wise Distribution of Railway Accidents
The Cause-wise Distribution of Railway Accidents dataset, published by the National Crime Records Bureau (NCRB) under the Accidental Deaths and Suicides in India (ADSI) reports, presents detailed information on railway accidents categorized by their underlying causes. The Cause-wise Distribution of Railway Accidents dataset classifies incidents into causes such as human error, equipment failure, signal faults, track defects, sabotage, and natural causes, and provides the corresponding number of cases, persons injured, and deaths across states and years.
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 | March 6, 2026 |
| Metadata last updated | March 6, 2026 |
| Created | March 6, 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 Railway Accidents dataset offers significant insights into the root causes of railway accidents and the systemic risks associated with rail operations in India. Trends typically indicate that human error, including negligence of railway staff or passengers, remains the dominant cause of accidents, followed by mechanical failures such as brake malfunction, signal faults, and track defects. Additionally, accidents attributed to natural causes like floods or landslides are more frequent in specific geographic regions with challenging terrain.These findings highlight the need for a multifaceted safety strategy, combining technology upgrades, staff training, automated signaling, and public awareness campaigns to reduce accidents caused by human and technical errors. Insights from the dataset also support risk-based maintenance planning, infrastructure modernization, and policy formulation under national initiatives for rail safety enhancement. By pinpointing the most critical causes, the Cause-wise Distribution of Railway Accidents dataset enables targeted action toward achieving zero fatality goals in India’s railway system. |
| Data last updated | 30-09-2025 |
| Data retreival date | 03-11-2025 |
| Datastore active | True |
| District no | 0 |
| Frequency | Yearly |
| Gp no | 0 |
| Granularity | State |
| Has views | True |
| Id | 6aa40a86-be8d-47e2-b0fe-ca10da46ed8b |
| Idp ready | True |
| Indicators | ['Number of Cases', 'Number of injured', 'Number of Dead'] |
| Lgd mapping | yes |
| Mapping status | 100 |
| 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. |
| No indicators | 3 |
| Package id | 086a0183-52bf-4b08-881c-9b69583402a6 |
| Position | 9 |
| Similar resources | b068bed3-df55-46fd-ae52-d5d80ef40a20,46000463-50a7-4d2e-90c9-691ec62b3d2d,4aec6071-ae92-4ff8-add2-659e1c7a0f05,4f6bf507-606c-45de-837c-3eaab13f13ee,1dc6abc0-72aa-478c-bc3b-3f1648eb4b70,eb39d353-6784-438a-9309-585d1011d86c,9fc6f915-f978-465c-b6f2-5ce445dbc621,8952c4b0-9bd3-4ae9-a749-e184484bd148,eb47815b-8b33-4f28-a06d-a0cf253d95cc |
| Size | 67.9 KiB |
| Sku | ncrb-adsi_cause_wise_railway_accidents-st-yr-def |
| State | active |
| States uts no | 36 |
| Tehsil no | 0 |
| Url type | upload |
| 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 | ['Number of Cases', 'Number of injured', 'Number of Dead'] |
| 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_cause_wise_railway_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 Railway Accidents dataset offers significant insights into the root causes of railway accidents and the systemic risks associated with rail operations in India. Trends typically indicate that human error, including negligence of railway staff or passengers, remains the dominant cause of accidents, followed by mechanical failures such as brake malfunction, signal faults, and track defects. Additionally, accidents attributed to natural causes like floods or landslides are more frequent in specific geographic regions with challenging terrain.These findings highlight the need for a multifaceted safety strategy, combining technology upgrades, staff training, automated signaling, and public awareness campaigns to reduce accidents caused by human and technical errors. Insights from the dataset also support risk-based maintenance planning, infrastructure modernization, and policy formulation under national initiatives for rail safety enhancement. By pinpointing the most critical causes, the Cause-wise Distribution of Railway Accidents dataset enables targeted action toward achieving zero fatality goals in India’s railway system. |
| IDP Ready | Yes |
| LGD Mapping | Yes |
| Mapping Status % | 100 |
| Geo Columns |