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On 4. november 2025 06.00.45 UTC, Gravatar IDP Admin:
  • Added the following fields to resource Suicides by Causes in Suicides in India

      lgd_mapping with value similar_resources with value mapping_status with value indicators with value


  • Removed the following fields from resource Suicides by Causes in Suicides in India

      village_no similar_datasets tags


  • Changed value of field idp_ready to True in resource Suicides by Causes in Suicides in India


  • Changed value of field data_insights of resource Suicides by Causes to 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. (previously 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.) in Suicides in India