Other Causes-wise Number of Cases, Persons...
The Other Causes-wise Number of Cases, Persons Injured & Persons Died dataset, published by the National Crime Records Bureau (NCRB) as part of its Accidental Deaths and Suicides in India (ADSI) reports, provides detailed statistics on accidental incidents in India classified under “Other Causes” that is, non-natural and human-related accidents. The Other Causes-wise Number of Cases, Persons Injured & Persons Died dataset records the number of reported cases, along with the number of persons injured and persons who died due to various accidental causes such as road traffic accidents, fires, drowning, falls, electrocution, machinery related mishaps, and other unclassified incidents.
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 of Death
- ID
- gender
- Type
- text
- Label
- Gender
- ID
- no_of_cases
- Type
- numeric
- Label
- Total Number of Cases
- ID
- injured
- Type
- numeric
- Label
- Number of Injured
- ID
- died
- Type
- numeric
- Label
- Number of Died
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 | The `no_of_cases` column in this dataset represents the total number of cases related to any particular cause of all the genders included. |
| Data extraction page | https://www.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html |
| Data insights | The Other Causes-wise Number of Cases, Persons Injured & Persons Died dataset provides valuable insights into the magnitude, severity, and nature of human-induced accidental deaths and injuries across India. By detailing both injury and fatality counts across multiple types of accidents such as road traffic collisions, fires, drowning, machinery mishaps, electrocution, and falls, this dataset enables a nuanced understanding of the most frequent and most deadly causes of non-natural accidents. Comparative analysis of the number of cases versus fatalities helps identify high-risk categories with disproportionate death rates, indicating areas where safety infrastructure, enforcement, or emergency response are inadequate. Temporal trends reveal whether accident cases and casualty rates are rising or declining over time, reflecting the effectiveness of safety measures, public education, and regulatory interventions. State-wise and cause-wise patterns further highlight regional vulnerabilities, such as higher transport-related deaths in urbanized or industrial regions, and drowning or fire incidents in rural and domestic settings. From a policy perspective, The Other Causes-wise Number of Cases, Persons Injured & Persons Died dataset supports evidence-based decision-making for public safety enhancement, occupational risk reduction, and emergency preparedness. Insights derived from the data can guide investments in road safety programs, fire prevention systems, industrial safety standards, and rescue infrastructure, helping reduce both the frequency and severity of accidental injuries and deaths across India. |
| Data last updated | 30-09-2025 |
| Data retreival date | 31-10-2025 |
| Datastore active | True |
| District no | 0 |
| Frequency | Yearly |
| Gp no | 0 |
| Granularity | State |
| Has views | True |
| Id | 88a80158-ad51-43e2-9009-1b4571f83531 |
| Idp ready | False |
| Methodology | The Accidental Deaths data compiled by the National Crime Records Bureau (NCRB) is sourced primarily from police records, based on First Information Reports (FIRs) and related investigations of accidental deaths registered across all police stations in India. Each case of accidental death whether due to natural causes, transport accidents, fire, drowning, or other circumstances is documented under relevant sections of the Indian Penal Code (IPC) or Special and Local Laws (SLLs) and submitted by state and union territory police departments to the NCRB. The NCRB employs a standardized reporting framework to ensure uniformity in data collection nationwide. District Crime Record Bureaus (DCRBs) and State Crime Record Bureaus (SCRBs) collate information from local police stations using prescribed formats that capture details such as age, gender, cause and type of accident, place of occurrence, and victim occupation or demographic group. The consolidated state-level data are then transmitted to the NCRB headquarters, where they are verified, aggregated, and analyzed for publication in the annual Accidental Deaths and Suicides in India (ADSI) report. |
| Mimetype | text/csv |
| No indicators | 3 |
| Package id | f7040b7a-f86a-4167-9d70-965ac94e6e57 |
| Position | 3 |
| Size | 2.6 MiB |
| Sku | ncrb-adsi_other_causes_wise_cases_injured_died-st-yr-abc |
| State | active |
| States uts no | 36 |
| Tags | ['Accidental Deaths by Other Causes', 'NCRB ADSI', 'Injury and Fatality Statistics', 'Road and Fire Accidents India', 'Occupational Safety Data', 'Public Health and Safety', 'Accident Impact Analysis', 'Emergency Response and Prevention'] |
| Tehsil no | 0 |
| Url type | upload |
| Village no | 0 |
| Years covered | 2018-2022 |
| Methodology | The Accidental Deaths data compiled by the National Crime Records Bureau (NCRB) is sourced primarily from police records, based on First Information Reports (FIRs) and related investigations of accidental deaths registered across all police stations in India. Each case of accidental death whether due to natural causes, transport accidents, fire, drowning, or other circumstances is documented under relevant sections of the Indian Penal Code (IPC) or Special and Local Laws (SLLs) and submitted by state and union territory police departments to the NCRB. The NCRB employs a standardized reporting framework to ensure uniformity in data collection nationwide. District Crime Record Bureaus (DCRBs) and State Crime Record Bureaus (SCRBs) collate information from local police stations using prescribed formats that capture details such as age, gender, cause and type of accident, place of occurrence, and victim occupation or demographic group. The consolidated state-level data are then transmitted to the NCRB headquarters, where they are verified, aggregated, and analyzed for publication in the annual Accidental Deaths and Suicides in India (ADSI) report. |
| 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 | 31-10-2025 |
| Data Last Updated | 30-09-2025 |
| Sku | ncrb-adsi_other_causes_wise_cases_injured_died-st-yr-abc |
| 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 | The `no_of_cases` column in this dataset represents the total number of cases related to any particular cause of all the genders included. |
| Number of Indicators | 3 |
| Insights from the dataset | The Other Causes-wise Number of Cases, Persons Injured & Persons Died dataset provides valuable insights into the magnitude, severity, and nature of human-induced accidental deaths and injuries across India. By detailing both injury and fatality counts across multiple types of accidents such as road traffic collisions, fires, drowning, machinery mishaps, electrocution, and falls, this dataset enables a nuanced understanding of the most frequent and most deadly causes of non-natural accidents. Comparative analysis of the number of cases versus fatalities helps identify high-risk categories with disproportionate death rates, indicating areas where safety infrastructure, enforcement, or emergency response are inadequate. Temporal trends reveal whether accident cases and casualty rates are rising or declining over time, reflecting the effectiveness of safety measures, public education, and regulatory interventions. State-wise and cause-wise patterns further highlight regional vulnerabilities, such as higher transport-related deaths in urbanized or industrial regions, and drowning or fire incidents in rural and domestic settings. From a policy perspective, The Other Causes-wise Number of Cases, Persons Injured & Persons Died dataset supports evidence-based decision-making for public safety enhancement, occupational risk reduction, and emergency preparedness. Insights derived from the data can guide investments in road safety programs, fire prevention systems, industrial safety standards, and rescue infrastructure, helping reduce both the frequency and severity of accidental injuries and deaths across India. |
| IDP Ready | No |
| LGD Mapping | |
| Mapping Status % | |
| Geo Columns |