STATISTICAL EVALUATION OF WASTE MANAGERMENT AND RECYCLING PRACTICES IN IREE COMMUNITY, NIGERIA.

  • B. A. Ogunwole Osun State Polytechnic, Iree, Department of Statistics
  • I. T. Mohammed
  • O. A. Oyegoke
  • O. A. Ayodeji Osun State Polytechnic, Iree, Department of Statistics
Keywords: Waste disposal, Recycling, Sustainable waste management, Logistic regression and Chi-square, Unsustainable waste management.

Abstract

There have been ongoing search to reduce, reuse, recycle and recover waste management. The data
obtained were mainly primary data sourced among residents of Iree Community in Boripe Local
Government, Osun State, Nigeria, with a focus on identifying effective strategies for sustainable
waste management. The study examined the relationship between demographic factors, awareness
levels, and waste disposal methods using statistical tools such as Chi-square tests and ordinal
logistic regression. Results revealed that while 56% of residents engage in sustainable waste
disposal practices, a significant portion (44%) still relies on unsustainable methods such as burning
and illegal dumping. Awareness of recycling programs was a significant predictor of sustainable
practices (p < 0.01), highlighting the need for public education campaigns. Recycling programs
(30%) and composting (28.5%) emerged as the most preferred waste management strategies. The
study underscores the importance of increasing public awareness, improving access to waste
management facilities, and fostering community-led initiatives to address the challenges of waste
management. By identifying key factors that drive sustainable waste disposal, the findings provide
actionable insights for policymakers and stakeholders aiming to enhance recycling rates and reduce
landfill dependence in developing countries.

Author Biographies

B. A. Ogunwole, Osun State Polytechnic, Iree, Department of Statistics

Osun State Polytechnic, Iree, Department of Statistics

O. A. Ayodeji, Osun State Polytechnic, Iree, Department of Statistics

Osun State Polytechnic, Iree, Department of Statistics

Published
2025-05-13
Section
Articles