A STUDY OF RELATIONSHIPS BETWEEN SOCIOECONOMIC INDICATORS AND RATES OF HUMAN TRAFFICKING VICTIMIZATION IN EUROPE AND CENTRAL ASIA

Abstract

This study uses IBM SPSS(Statistical Package for the Social Sciences) statistical software to determine if there is a statistically significant relationship between the numbers of officially identified human trafficking victims and social and economic indicators that can significantly affect the victimization rate. These indicators are GDP per capita, Human Development index, levels of government corruption, internet usage, GINI index, numbers of agricultural laborers, and tourism rates. The regions chosen for this study are Europe and Central Asia. The data is obtained from the official reports or statistics published by the United Nations, the World Bank, and the Central Intelligence Agency

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