Informações Adicionais

Campo	Valor
Dados atualizados pela última vez	3 de março de 2026
Metadados atualizados pela última vez	3 de março de 2026
Criado	3 de março de 2026
Formato	CSV
Licença	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	False
District no	0
Frequency	Yearly
Gp no	0
Granularity	State
Has views	True
Id	fd60d87e-c26d-4a57-87a1-b3fb72c2c78c
Idp ready	False
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.
Mimetype	text/csv
No indicators	3
Package id	91480cbe-d1c9-4e2a-8362-27b73dee55f9
Position	7
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
Village no	0
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	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
Informações Adicionais
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	No
LGD Mapping
Mapping Status %
Geo Columns