Incidence and Rate of Suicides
The Incidence and Rate of Suicides dataset, published by the National Crime Records Bureau (NCRB) as part of the Accidental Deaths and Suicides in India (ADSI) series, provides comprehensive national and state-level statistics on the total number of suicides and their corresponding rates per lakh population across India. The Incidence and Rate of Suicides dataset records annual suicide counts (incidence) alongside the suicide rate, enabling comparative analyses over time and across regions.
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
- number_of_suicides
- Type
- numeric
- Label
- Number of Suicides
- ID
- percentage_share_in_total_suicides
- Type
- numeric
- Label
- Percentage Share in Total Suicides
- ID
- projected_mid_year_population_in_lakh
- Type
- numeric
- Label
- Projected Mid Year Population (In Lakhs)
Additional Information
| Field | Value |
|---|---|
| Data last updated | March 3, 2026 |
| Metadata last updated | March 3, 2026 |
| Created | March 3, 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 Incidence and Rate of Suicides dataset provides essential insights into the scale, trends, and demographic distribution of suicides across India. By analyzing both the absolute number of suicide cases and the rate per lakh population, researchers can distinguish between regions experiencing high suicide counts due to population size and those facing disproportionately high suicide rates relative to their population.This distinction is critical for identifying high-burden states and emerging risk zones, enabling policymakers to prioritize mental health interventions where they are needed most. Temporal analysis reveals how suicide incidence and rates have evolved over the years, reflecting the impact of social change, economic shifts, or national crises on mental health outcomes. Combined with demographic and socioeconomic data, incidence and rate of suicide dataset can help uncover correlations between suicide trends and factors such as unemployment, education, urbanization, and income inequality. |
| Data last updated | 30-09-2025 |
| Data retreival date | 28-10-2025 |
| Datastore active | True |
| District no | 0 |
| Frequency | Yearly |
| Gp no | 0 |
| Granularity | State |
| Has views | True |
| Id | fd60d87e-c26d-4a57-87a1-b3fb72c2c78c |
| Idp ready | True |
| Indicators | ['Number of Suicides', 'Percentage Share in Total Suicides', 'Projected Mid Year Population'] |
| Lgd mapping | yes |
| Mapping status | 100 |
| Methodology | The National Crime Records Bureau (NCRB) compiles profession-wise suicide statistics annually based on information gathered during police investigations, autopsy reports, and inputs recorded by state crime records bureaus. When a suicide case is registered, investigating officers classify the deceased’s occupation or livelihood at the time of death into predefined categories such as farmers, daily wage earners, students, professionals, or unemployed individuals. These occupational details are typically reported by family members, witnesses, or through available identification records. State-level data are consolidated and published in the Accidental Deaths and Suicides in India (ADSI) report, with suicide rates calculated using relevant occupational population estimates where available. |
| No indicators | 3 |
| Package id | 91480cbe-d1c9-4e2a-8362-27b73dee55f9 |
| Position | 7 |
| Similar resources | 29136c75-0aa3-4858-848a-37ef3a475df5,33ec469e-06ff-4b03-95c0-ffe0e634518d,00c97b31-f859-40e2-9748-b1cf7ea0b0d2,b9ba726e-9435-48d2-ad48-8d4cb3dc28fa,fa595762-cd66-4e1e-90ed-604adfca0954,8427e49e-20bf-493a-a24e-8eeda6d8b271,4b8289cb-9f81-4198-9f75-9e7a0b62b69b |
| Size | 8.6 KiB |
| Sku | ncrb-adsi_incidence_and_rate_of_suicides-st-yr-aaa |
| State | active |
| States uts no | 36 |
| Tehsil no | 0 |
| Url type | upload |
| Years covered | 2018 - 2022 |
| Methodology | The National Crime Records Bureau (NCRB) compiles profession-wise suicide statistics annually based on information gathered during police investigations, autopsy reports, and inputs recorded by state crime records bureaus. When a suicide case is registered, investigating officers classify the deceased’s occupation or livelihood at the time of death into predefined categories such as farmers, daily wage earners, students, professionals, or unemployed individuals. These occupational details are typically reported by family members, witnesses, or through available identification records. State-level data are consolidated and published in the Accidental Deaths and Suicides in India (ADSI) report, with suicide rates calculated using relevant occupational population estimates where available. |
| Indicators | ['Number of Suicides', 'Percentage Share in Total Suicides', 'Projected Mid Year Population'] |
| Similar Resources | |
| Granularity Level | State |
| Data Extraction Page | https://www.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html |
| Data Retreival Date | 28-10-2025 |
| Data Last Updated | 30-09-2025 |
| Sku | ncrb-adsi_incidence_and_rate_of_suicides-st-yr-aaa |
| 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 Incidence and Rate of Suicides dataset provides essential insights into the scale, trends, and demographic distribution of suicides across India. By analyzing both the absolute number of suicide cases and the rate per lakh population, researchers can distinguish between regions experiencing high suicide counts due to population size and those facing disproportionately high suicide rates relative to their population.This distinction is critical for identifying high-burden states and emerging risk zones, enabling policymakers to prioritize mental health interventions where they are needed most. Temporal analysis reveals how suicide incidence and rates have evolved over the years, reflecting the impact of social change, economic shifts, or national crises on mental health outcomes. Combined with demographic and socioeconomic data, incidence and rate of suicide dataset can help uncover correlations between suicide trends and factors such as unemployment, education, urbanization, and income inequality. |
| IDP Ready | Yes |
| LGD Mapping | Yes |
| Mapping Status % | 100 |
| Geo Columns |