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For this study, there is a significant gender inequality problem in many areas, particularly in Salanpur CD Block, Paschim Bardhaman, West Bengal. From the Asansol Sub-Division, the researchers have chosen the Salanpur block for this study. The researchers used participant observation, focus groups, and semi-structured interviews to gather primary data. There are four sections: socio-demographic data, family data, interviews with an informal discussion with the girl, who was essentially denied formal education due to large family size, financial problems, semi- and uneducated parents, early child marriage, and so on, and final data obtained from teachers. Most Santhal women from the older generation (62.5 percent) are illiterate, while only 31.0 percent of men from this generation are illiterate. The younger generation of Santhal women has a 16 percent illiteracy rate, compared to a 6.5 percent illiteracy rate for men in this generation. The primary education situation within the Santhal tribe was investigated in this study. The findings of the study revealed numerous challenges to the advancement of tribal children's education, particularly girls' education. The current study is an effort to look at various aspects of the problem of gender inequality in education among the Santhal tribes. It is based on fieldwork in various villages in Salanpur block in Paschim Bardhaman district in West Bengal.
Keywords:
Gender Inequality, Education, The Santhal Tribe, Salanpur Block, Paschim Bardhaman, West Bengal
Cite Article:
"Gender Inequality in West Bengal, With Special Reference to The Salanpur CD Block, Paschim Bardhaman", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 6, page no.323 - 332, June-2023, Available :http://www.ijrti.org/papers/IJRTI2306052.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