GIS-Based Longitudinal Analysis of Female Education and Domestic Violence in India

The aim of this study is to examine the correlation between female education levels and the incidence of domestic violence over time, with the objective of visualizing spatial patterns and emerging trends in India. A mixed-method approach was employed, incorporating both quantitative and qualitative data. District-level census data from 2001 and 2011 were analyzed, complemented by primary data from surveys conducted with 102 women. GIS mapping techniques were used to illustrate spatial distributions, while the integration of primary data with NFHS statistics offered a comprehensive understanding of the underlying social dynamics. The analysis revealed that employed women were more likely to experience domestic violence compared to their unemployed counterparts. Furthermore, statistical findings affirmed a notable inverse correlation between female education levels and the prevalence of domestic violence. This study contributes meaningfully to the fields of gender studies and domestic violence research. It underscores the urgent need to translate these insights into evidence-based interventions that promote female education and combat domestic violence. Future research should prioritize intersectional analyses to more deeply understand the multifaceted nature of domestic violence against women in India.

Publication Details

Journal
Repository of the Academy's Library (Library of the Hungarian Academy of Sciences)
Published
2025-01-01
Primary Topic
Theoretical and Computational Physics
Type
article
Field-Weighted Citation Impact
0.00

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article

GIS-Based Longitudinal Analysis of Female Education and Domestic Violence in India

Repository of the Academy's Library (Library of the Hungarian Academy of Sciences)
Theoretical and Computational Physics
article

GIS-Based Longitudinal Analysis of Female Education and Domestic Violence in India

article en

Abstract

The aim of this study is to examine the correlation between female education levels and the incidence of domestic violence over time, with the objective of visualizing spatial patterns and emerging trends in India. A mixed-method approach was employed, incorporating both quantitative and qualitative data. District-level census data from 2001 and 2011 were analyzed, complemented by primary data from surveys conducted with 102 women. GIS mapping techniques were used to illustrate spatial distributions, while the integration of primary data with NFHS statistics offered a comprehensive understanding of the underlying social dynamics. The analysis revealed that employed women were more likely to experience domestic violence compared to their unemployed counterparts. Furthermore, statistical findings affirmed a notable inverse correlation between female education levels and the prevalence of domestic violence. This study contributes meaningfully to the fields of gender studies and domestic violence research. It underscores the urgent need to translate these insights into evidence-based interventions that promote female education and combat domestic violence. Future research should prioritize intersectional analyses to more deeply understand the multifaceted nature of domestic violence against women in India.

Repository of the Academy's Library (Library of the Hungarian Academy of Sciences)
Slovenská Akadémia Vied, Ministerstvo školstva, vedy, výskumu a športu Slovenskej republiky, Vedecká Grantová Agentúra MŠVVaŠ SR a SAV
Gender equality
Openalex Percentile: Top 64%
Theoretical and Computational Physics
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