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Aim of this research is to analyze European Union countries' solid waste data and to make a relation between waste management system and types of waste in terms of geographic location, socioeconomic and scientific-technologic perception for each region. According to common belief in society, the more the income the more the knowledge brings in which people should generate less domestic waste. In other words, if a country is economically developed, then its people must be taught well and know how not to generate more domestic waste. First thing to be considered in this article is to conclude that belief in any ways. Another point is by using European Union Statistics Office’s data, namely EuroStat, analyzing each countries’ waste source is observed in this article.That is to say, by knowing a countries’ production area, energy resource types, cultural behaviour, agriculture and other socioeconomic structure, an analyze result is aimed to be provided in this research for observing produced waste and their resource. By analyzing the socioeconomic structures in numbers, one can predict the future waste data by understanding the correlation. It is becoming more important to predict waste generation nowadays because as mentioned in this article, not all the countries have enough land to apply landfilling process which is both infficient in terms of economic reasons and disrespectful against the nature. Since waste management is a fact that needs to be handled depending on how wastes are generated; thus, socioeconomic struce, precise prediction methods are required for determining the best option. In this research European Union data is mostly considered and analyzed because Turkey is included in that data research for years. One must understand that all these data belong to 2018 because each data is collected twice a year and provided 2 years after. Thus, 2018 data is the most recent one which is released in October 2020 according to EuroStat Statistics Explained.

Correlation Analysis of European Socioeconomic and Waste Management Structure Pursuant To EU-27 Waste Data - 2018