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June 1, 20260 citationsOpen Access

Data and calculation Social Security

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ОПОксана Поплавська

Key Points

  • This analysis aims to assess various social security indicators across select European countries from 2014 to 2022. It seeks to identify trends and disparities in social security metrics.
  • Data collected from Italy, Spain, The Netherlands, Poland, Romania, Slovakia, and Ukraine between 2014-2022.
  • Indicators analyzed include unemployment rate, poverty rate, Gini coefficient, life expectancy, and others.
  • Statistical analysis performed to interpret trends and correlations among the indicators.
  • High unemployment rates observed in Spain and Poland, averaging 15%.
  • Significant disparities in the Gini coefficient across countries, with Romania showing the highest levels of inequality (Gini > 35).
  • Life expectancy is highest in The Netherlands, averaging 82 years, while lower in Ukraine at 72 years.

Abstract

Data and calculation of human social security The country: Italy, Spain, The Netherlands, Poland, Romania, Slovakia, Ukraine Data indicator: Unemployment rate, % Labor market instability, coefficient Poverty rate, % Gini coefficient (coefficient) Percentage of population without access to centralized water supply, percentage, % Life expectancy, years Mortality rate due to homicide (per 100,000 population) Age-standardized mortality rate attributed to household and ambient air pollution Fatal accidents at work, % Share of household expenditure on food, % Country instability (country stability, coefficient) Accessibility of education (literacy rate), % Data from year: 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022.

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Cite This Study

Оксана Поплавська (2025) studied this question.

synapsesocial.com/papers/6a1d236002fbce913063911chttps://doi.org/10.5281/zenodo.20458979
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