Survey Data on Solid Waste Composition and Technology Selection in Onitsha, Nigeria

A survey of 399 respondents characterizes municipal solid waste composition and resident perceptions in Onitsha, Nigeria. The dataset likely contains results from Principal Component Analysis on waste impacts and Analytical Hierarchy Process evaluations of five waste-to-energy technologies. Author Emmanuel Nnaemeka Obasi published the supporting file under a CC-BY-4.0 license in May 2026.

Use Cases

• Analyzing waste composition patterns based on the identified dominance of food waste and plastics.
• Evaluating resident perceptions of waste impacts based on PCA results for waterborne diseases, air pollution, and flooding.
• Comparing waste-to-energy technology suitability based on AHP priority weights for anaerobic digestion, landfill gas, and incineration.

Strengths

• Includes survey data from 399 respondents, providing a specific sample size.
• Applies structured decision-making methods like Principal Component Analysis and the Analytical Hierarchy Process.
• Focuses on a specific geographic context: the city of Onitsha, Nigeria.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 548.2 KB file size suggests a limited scope, likely containing summary findings rather than raw survey data.

Provenance

Source

Emmanuel Nnaemeka Obasi via figshare.

Collection Method

Survey of 399 respondents, Principal Component Analysis, and Analytical Hierarchy Process combined with Multi-Criteria Decision Analysis.

Freshness

Last updated 2026-05-24 22:01:07; freshness should be verified.

Geography

Onitsha, Nigeria.