Data Dictionary

Additional Information

Field	Value
Data last updated	November 4, 2025
Metadata last updated	November 4, 2025
Created	November 4, 2025
Format	CSV
License	Open Data Commons Attribution License
Additional info	nan
Data extraction page	https://www.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html
Data insights	The Suicides by Causes dataset provides deep insights into the complex and multifactorial nature of suicide in India, enabling researchers to identify dominant social, economic, and personal factors contributing to suicidal behavior. By categorizing cases into causes such as family problems, illness, bankruptcy, unemployment, failure in examination, love affairs, drug or alcohol abuse, and other socio-personal stressors, Suicides by Causes dataset allows analysts to trace how different pressures manifest across demographic groups and regions.Cause-wise analysis reveals patterns of vulnerability for example, whether economic distress and unemployment contribute more to suicides among men, or if illness and family-related issues are more prevalent among women. Temporal trends help identify emerging or declining causes, such as the growing burden of mental illness, substance dependency, or financial stress linked to economic shifts. Regional and gender disaggregation further highlights disparities across states and social groups, pointing to localized socio-economic and cultural risk factors.
Data last updated	30-09-2025
Data retreival date	27-10-2025
Datastore active	True
District no	0
Frequency	Yearly
Gp no	0
Granularity	State
Has views	True
Id	60092b38-7433-4b1c-9338-9bd322b748d9
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	0
Size	1.1 MiB
Sku	ncrb-adsi_suicides_by_cause_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	27-10-2025
Data Last Updated	30-09-2025
Sku	ncrb-adsi_suicides_by_cause_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	nan
Number of Indicators	1
Insights from the dataset	The Suicides by Causes dataset provides deep insights into the complex and multifactorial nature of suicide in India, enabling researchers to identify dominant social, economic, and personal factors contributing to suicidal behavior. By categorizing cases into causes such as family problems, illness, bankruptcy, unemployment, failure in examination, love affairs, drug or alcohol abuse, and other socio-personal stressors, Suicides by Causes dataset allows analysts to trace how different pressures manifest across demographic groups and regions.Cause-wise analysis reveals patterns of vulnerability for example, whether economic distress and unemployment contribute more to suicides among men, or if illness and family-related issues are more prevalent among women. Temporal trends help identify emerging or declining causes, such as the growing burden of mental illness, substance dependency, or financial stress linked to economic shifts. Regional and gender disaggregation further highlights disparities across states and social groups, pointing to localized socio-economic and cultural risk factors.
IDP Ready	Yes
LGD Mapping	Yes
Mapping Status %	100