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The study analyzes trends in suicide rates in India and globally, highlighting socio-economic factors and regional differences.
This study analyzes suicide trends in India and globally from 2010 to 2022 using demographic, socio-economic, and regional data. The analysis uses statistical techniques such as data visualization, correlation analysis, ANOVA, and time-series modeling. The results indicate a steady increase in suicide cases in India, with the highest number recorded in 2022, while global trends show fluctuations without a consistent long-term rise. Age-wise analysis reveals that young adults (18–29) are the most affected group in India, whereas the 60+ age group records higher cases globally. Gender analysis shows that males consistently report higher suicide rates than females in both India and worldwide. Socio-economic analysis demonstrates a positive association between suicide rates and poverty, while income, literacy, and urbanization show negative relationships, suggesting that better socio-economic conditions may reduce suicide risk. Regional analysis in India reveals statistically significant differences in suicide rates across geographical regions, indicating the influence of regional factors. Time series forecasting further suggests a gradual increase in suicide cases in the coming years if current trends continue. Overall, the findings highlight the important role of demographic, socio-economic, and regional factors in shaping suicide patterns and emphasize the need for targeted prevention strategies and policy interventions.
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Kulkarni et al. (2026) studied this question.
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