Mode of Transport Wise Number of Persons Died...
The Mode of Transport-wise Number of Persons Died in Road Accidents dataset, published by the National Crime Records Bureau (NCRB) under the Accidental Deaths and Suicides in India (ADSI) reports, presents a detailed account of fatalities in road traffic accidents across India, categorized by the type of vehicle or mode of transport involved. This includes deaths linked to two-wheelers, cars, trucks, buses, tempos, tractors, auto rickshaws, bicycles, and other transport modes, along with state and year wise data.
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
- mode_of_transport
- Type
- text
- Label
- Mode of Transport
- ID
- offenders
- Type
- numeric
- Label
- Number of Offenders
- ID
- victims
- Type
- numeric
- Label
- Number of Victims
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 contains data from 2018 to 2020 |
| Data extraction page | https://www.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html |
| Data insights | The Mode of Transport-wise Number of Persons Died in Road Accidents dataset reveals critical insights into India’s road safety dynamics by showing which vehicle categories contribute most to traffic fatalities. Data trends consistently highlight two-wheeler riders as the most vulnerable group, accounting for a significant share of total deaths due to inadequate helmet use, speeding, and limited protection. Pedestrians and cyclists also remain at high risk, particularly in urban areas with mixed traffic conditions and limited pedestrian infrastructure.Heavy vehicles such as trucks and buses are frequently associated with fatal collisions due to their size, load, and higher road exposure, while car and auto rickshaw users face risks tied to speed and congestion in metropolitan regions. This dataset’s state-wise and annual patterns reveal regional variations influenced by road density, enforcement levels, and driver behavior. |
| 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 | 46000463-50a7-4d2e-90c9-691ec62b3d2d |
| Idp ready | True |
| Indicators | ['Number of Offenders', 'Number of Victims'] |
| 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 | 2 |
| Package id | 086a0183-52bf-4b08-881c-9b69583402a6 |
| Position | 1 |
| Similar resources | b068bed3-df55-46fd-ae52-d5d80ef40a20,4aec6071-ae92-4ff8-add2-659e1c7a0f05,4f6bf507-606c-45de-837c-3eaab13f13ee,eb39d353-6784-438a-9309-585d1011d86c,1dc6abc0-72aa-478c-bc3b-3f1648eb4b70,9fc6f915-f978-465c-b6f2-5ce445dbc621,eb47815b-8b33-4f28-a06d-a0cf253d95cc,8952c4b0-9bd3-4ae9-a749-e184484bd148 |
| Size | 81 KiB |
| Sku | ncrb-adsi_mode_of_transport_wise_road_accidents-st-yr-def |
| State | active |
| States uts no | 36 |
| Tehsil no | 0 |
| Url type | upload |
| Years covered | 2018 - 2020 |
| 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 Offenders', 'Number of Victims'] |
| 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_mode_of_transport_wise_road_accidents-st-yr-def |
| Dataset Frequency | Yearly |
| Years Covered | 2018 - 2020 |
| No of States/UT(s) | 36 |
| No of Districts | 0 |
| No of Tehsils/blocks | 0 |
| No of Gram Panchayats | 0 |
| Additional Information | This dataset contains data from 2018 to 2020 |
| Number of Indicators | 2 |
| Insights from the dataset | The Mode of Transport-wise Number of Persons Died in Road Accidents dataset reveals critical insights into India’s road safety dynamics by showing which vehicle categories contribute most to traffic fatalities. Data trends consistently highlight two-wheeler riders as the most vulnerable group, accounting for a significant share of total deaths due to inadequate helmet use, speeding, and limited protection. Pedestrians and cyclists also remain at high risk, particularly in urban areas with mixed traffic conditions and limited pedestrian infrastructure.Heavy vehicles such as trucks and buses are frequently associated with fatal collisions due to their size, load, and higher road exposure, while car and auto rickshaw users face risks tied to speed and congestion in metropolitan regions. This dataset’s state-wise and annual patterns reveal regional variations influenced by road density, enforcement levels, and driver behavior. |
| IDP Ready | Yes |
| LGD Mapping | Yes |
| Mapping Status % | 100 |
| Geo Columns |