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In Tamil Nadu's mountainous areas, women still confront socioeconomic and environmental obstacles like as poor infrastructure, few employment options and little participation in decision-making. These situations affect their desire for empowerment and increase their susceptibility. In order to identify patterns of stratification and shared goals, this study looked at the livelihood concerns and pressing needs of underprivileged women in Yercaud and Kolli Hills. It also looked at their choices for skill training and socioeconomic classifications. Quantitative analysis was used in conjunction with a qualitative descriptive method. Open-ended interviews with 200 women were used to collect data, which was then thematically categorized and supplemented with descriptive statistics. Chi-square testing, cross-tabulation and cluster analysis (using Ward's technique and K-means) were used. Digital literacy was the most desired skill training (44.5%), followed by animal husbandry (23.5%) and organic farming (21%). Three separate family groups with notable socioeconomic disparities were identified by cluster analysis (p <.05). Despite these variations, their urgent requirements and training preferences were broadly in line, which highlighted the significance of offering universal livelihood and digital training as well as ecologically sustainable support.
Keywords:
Hill societies, Human ecology, Skill creation, Socio-economic issues, Women’s livelihoods
Cite Article:
"Understanding Women’s Livelihood Struggles and Skill Aspirations in Hill Communities: A Case Study of Yercaud and Kolli Hills, Tamil Nadu", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 11, page no.a62-a75, November-2025, Available :http://www.ijrti.org/papers/IJRTI2511009.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator