Classification of Railway Accidents
The Classification of Railway Accidents dataset, published by the National Crime Records Bureau (NCRB) as part of the Accidental Deaths and Suicides in India (ADSI) reports, provides detailed information on railway accident cases across India, classified by type and cause. The Classification of Railway Accidents dataset includes categories such as train collisions, derailments, accidents at unmanned and manned level crossings, and other operational mishaps, along with the number of cases, persons injured, and persons who died.
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 | February 12, 2026 |
| Metadata last updated | February 12, 2026 |
| Created | February 12, 2026 |
| Format | CSV |
| License | Open Data Commons Attribution License |
| Additional info | This dataset does not include data belongs to the year 2022. |
| Data extraction page | https://www.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html |
| Data insights | 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. |
| 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 | eb47815b-8b33-4f28-a06d-a0cf253d95cc |
| 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 | 8 |
| 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 |
| Size | 43.8 KiB |
| Sku | ncrb-adsi_railway_accidents_classification-st-yr-def |
| State | active |
| States uts no | 36 |
| Tehsil no | 0 |
| Url type | upload |
| Years covered | 2018 - 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 | ['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_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 | Yes |
| LGD Mapping | Yes |
| Mapping Status % | 100 |
| Geo Columns |