STATISTICAL ANALYSIS ON VIOLENCE AGAINST WOMEN DURING THE COVID-19 PANDEMIC

Abstract

Millions of women worldwide are impacted by violence against women, a problem of global public health and human rights. Despite efforts to prevent and address the problem, violence against women remains pervasive and is often underreported. This thesis uses statistical analysis to explore the prevalence of violence towards women, identify hazard elements for victimization and examine how violence affects the lives of women. Data from the National Crime Records Bureau are used in the study which collects and compiles crime data from police departments across all of India's states and union territories, including data on related to crimes opposed to women. The data are analysed using descriptive statistics and correlation analysis. The results indicate that abuse of women is a serious and pervasive issue. The analysis also identifies several risk factors for victimization, including younger age, lower education, and lower income. Additionally, the study finds that women who suffer violence are more likely to report having worsened physical and mental health outcomes, as well as having participated less in social and economic activities. The findings have important implications for policy and practice, highlighting the requirement for specific actions to address risk factors for violence and to provide support for survivors. The study also underscores the need for continued research on violence against women, using rigorous methods and statistical analysis to ensure that policies and programs are evidence-based and effective. By shedding light regarding the prevalence and effects of violence opposed to women, this thesis contributes to efforts to prevent and address this pervasive problem.