Suicides by Profession Wise
The Suicide by Profession-Wise dataset presents a comprehensive account of suicides in India, classified according to the occupation or livelihood of the deceased at the time of death. Categories include farmers, agricultural laborers, daily wage earners, students, professionals, self-employed individuals, and unemployed persons, among others. By organizing suicide data around occupational backgrounds, the dataset provides valuable insights into the socio-economic and livelihood-related pressures that contribute to suicidal behavior. Researchers, policymakers, and mental health professionals can use profession-wise suicide data to identify vulnerable occupational groups, understand patterns of economic distress and workplace-related stress, and design interventions that target high-risk segments of the population.
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
- profession
- Type
- text
- Label
- Profession
- ID
- gender
- Type
- text
- Label
- Gender
- ID
- number_of_deaths
- Type
- numeric
- Label
- Number of Deaths
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 | Analysis of profession-wise suicide data highlights the strong link between livelihood, economic insecurity, and mental health outcomes. Farmers and agricultural laborers often exhibit higher suicide rates, reflecting vulnerabilities tied to crop failure, debt burdens, and rural distress. Daily wage earners and self-employed individuals also show elevated risks, frequently linked to financial instability and precarious employment. Students constitute another significant group, with pressures related to academics and career prospects contributing to their vulnerability. At the other end, professionals and salaried employees may face stressors related to workplace demands, unemployment, or job loss. By mapping suicide patterns across occupational categories, the dataset allows researchers and policymakers to identify structural drivers of mental health crises, design livelihood-support programs, and tailor mental health interventions to at-risk occupational groups. |
| Data last updated | 30-09-2025 |
| Data retreival date | 30-09-2025 |
| Datastore active | True |
| District no | 0 |
| Frequency | Yearly |
| Gp no | 0 |
| Granularity | State |
| Has views | True |
| Id | 18e22208-1a37-4263-a51c-cacefb535bb3 |
| Idp ready | True |
| 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 | 1 |
| Package id | 3e8b0a00-ced1-465f-8053-fd4f8a96dbe3 |
| Position | 2 |
| Similar resources | 60092b38-7433-4b1c-9338-9bd322b748d9,04823ac8-1843-45ed-83f3-52fcf8083f6a |
| Size | 1.1 MiB |
| Sku | ncrb-adsi_suicides_by_profession_wise-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 | [] |
| Similar Resources | |
| Granularity Level | State |
| Data Extraction Page | https://www.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html |
| Data Retreival Date | 30-09-2025 |
| Data Last Updated | 30-09-2025 |
| Sku | ncrb-adsi_suicides_by_profession_wise-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 | 1 |
| Insights from the dataset | Analysis of profession-wise suicide data highlights the strong link between livelihood, economic insecurity, and mental health outcomes. Farmers and agricultural laborers often exhibit higher suicide rates, reflecting vulnerabilities tied to crop failure, debt burdens, and rural distress. Daily wage earners and self-employed individuals also show elevated risks, frequently linked to financial instability and precarious employment. Students constitute another significant group, with pressures related to academics and career prospects contributing to their vulnerability. At the other end, professionals and salaried employees may face stressors related to workplace demands, unemployment, or job loss. By mapping suicide patterns across occupational categories, the dataset allows researchers and policymakers to identify structural drivers of mental health crises, design livelihood-support programs, and tailor mental health interventions to at-risk occupational groups. |
| IDP Ready | Yes |
| LGD Mapping | Yes |
| Mapping Status % | 100 |
| Geo Columns |