Road Classification Wise Number of Road...
The Road Classification-wise Number of Road Accidents, Injuries and Deaths dataset, published by the National Crime Records Bureau (NCRB) under the Accidental Deaths and Suicides in India (ADSI) reports, provides comprehensive data on road traffic accidents across India categorized by the type of road where they occurred. The The Road Classification-wise Number of Road Accidents, Injuries and Deaths dataset includes statistics on the number of accidents, persons injured, and persons who died, classified by National Highways, State Highways, District Roads, Rural Roads, and Other Roads.
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
- road_type
- Type
- text
- Label
- Type of Road
- 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 |
| Data extraction page | https://www.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html |
| Data insights | The Road Classification-wise Number of Road Accidents, Injuries and Deaths dataset provides key insights into how different categories of roads contribute to India’s overall traffic accident burden. Data trends typically show that National and State Highways, while constituting a smaller portion of total road length, account for a disproportionately large share of fatal accidents and injuries due to high traffic volume, speeding, and long-distance transport movement. In contrast, rural and district roads often experience accidents linked to poor infrastructure, lack of lighting, and limited safety measures.Comparative analysis across road types enables policymakers to identify infrastructure and enforcement gaps, such as inadequate signage, unsafe crossings, or weak surveillance on high-speed corridors. These insights are invaluable for formulating evidence-based road safety policies, prioritizing investment in safer road design, and improving emergency response mechanisms. |
| Data last updated | 30-09-2025 |
| Data retreival date | 02-11-2025 |
| Datastore active | True |
| District no | 0 |
| Frequency | Yearly |
| Gp no | 0 |
| Granularity | State |
| Has views | True |
| Id | eb39d353-6784-438a-9309-585d1011d86c |
| 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 | 5 |
| 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-3f1648eb4b70,9fc6f915-f978-465c-b6f2-5ce445dbc621,8952c4b0-9bd3-4ae9-a749-e184484bd148,eb47815b-8b33-4f28-a06d-a0cf253d95cc |
| Size | 44.2 KiB |
| Sku | ncrb-adsi_road_accidents_classification-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 | 02-11-2025 |
| Data Last Updated | 30-09-2025 |
| Sku | ncrb-adsi_road_accidents_classification-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 Road Classification-wise Number of Road Accidents, Injuries and Deaths dataset provides key insights into how different categories of roads contribute to India’s overall traffic accident burden. Data trends typically show that National and State Highways, while constituting a smaller portion of total road length, account for a disproportionately large share of fatal accidents and injuries due to high traffic volume, speeding, and long-distance transport movement. In contrast, rural and district roads often experience accidents linked to poor infrastructure, lack of lighting, and limited safety measures.Comparative analysis across road types enables policymakers to identify infrastructure and enforcement gaps, such as inadequate signage, unsafe crossings, or weak surveillance on high-speed corridors. These insights are invaluable for formulating evidence-based road safety policies, prioritizing investment in safer road design, and improving emergency response mechanisms. |
| IDP Ready | Yes |
| LGD Mapping | Yes |
| Mapping Status % | 100 |
| Geo Columns |