The study analyzes the correlation between socioeconomic, demographic and consumption
indicators with the generation of solid waste in municipalities in the state of Pará, Brazil, for
the purpose of identifying correlation patterns that support and assist in the formulation of
strategies for the sustainable management of these materials. This is a quantitative and
exploratory research that uses Principal Component Analysis (PCA) to evaluate indicators
collected in 116 of the 144 municipalities in Pará. The indicators used in the analysis were
Population (POP), Gross Domestic Product (GDP), Municipal Human Development Index
(IDHM), Firjan Municipal Development Index (IFDM), Gini Index (GI), Electricity
Consumption (CE), Water Consumption (CA) and Waste Generation (GR), which were
obtained through secondary data from the Brazilian Institute of Geography and Statistics
(IBGE), the Amazon Foundation for Studies and Research Support (FAPESPA), the Institute
of Economic and Applied Research (IPEA DATA) and the National Sanitation Information
System (SNIS). The techniques used include data standardization using the Z-score method
and the use of The Unscrambler software, version 9.7, for ACP. The research revealed positive
correlation patterns between GR and indicators such as IDHM, IFDM, GI, POP, GDP per
capita, CE and a strong correlation with CA. It was found that better economic conditions and
quality of life are associated with the increasing generation of municipal waste. Furthermore,
population data also contributed to greater amounts of waste generated. These results highlight
the importance of considering socioeconomic factors when formulating public policies for
waste management, aiming to reduce negative environmental impacts and promote sustainable
practices.
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