| Summary: | This study analyses economic inequality in Central and Eastern Europe (CEE) using tools such
as the Lorenz Curve and the Gini coefficient. Originating in 1905, the Lorenz Curve, conceptualized
by Max O. Lorenz, serves as an essential tool in illustrating income distribution, complemented by
the Gini coefficient for assessing numerical inequality. Examining a decade of data from eleven CEE
countries through Eurostat, the study constructs Lorenz curves, providing a visual and quantitative
description of variations in income distribution. Percentile analysis reveals nuanced disparities,
providing insight into the evolution of inequality. Methodologically, the study addresses the
challenges, recognizing the advantages of the Lorenz curve in detailed information on income
distribution, but also its disadvantages in data sensitivity. The findings show that the Lorenz curve
and the Gini coefficient work synergistically, providing a comprehensive overview of economic
inequality in CEE.
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