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O 4 de novembro de 2025, 06:00:45 UTC, Gravatar IDP Admin:
  • Engadíronse os seguintes campos ao recurso Suicides by Causes en Suicides in India

      lgd_mapping co valor mapping_status co valor indicators co valor similar_resources co valor


  • Retiráronse os seguintes campos do recurso Suicides by Causes en Suicides in India

      similar_datasets tags village_no


  • Cambiouse o valor do campo data_insights do recurso Suicides by Causes a 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. (anteriormente 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.) en Suicides in India


  • Cambiouse o valor do campo idp_ready a True no recurso Suicides by Causes en Suicides in India