Household Waste Management Willingness to Pay in Mbarara, Uganda

March 2025 survey data from households in Mbarara district, southwestern Uganda, analyzing factors for willingness to pay for waste management services. The dataset contains results from bivariate and multivariable logistic regression analyses. It is a 9.5 KB Excel file.

Use Cases

• Conduct logistic regression using the dataset's dependent variable (willingness to pay) and independent factors like household income or education level.
• Analyze bivariate relationships between willingness to pay and specific household economic or demographic variables present in the data.
• Model the probability of payment willingness based on multivariable factors such as location, service type, or household size identified in the study.

Strengths

• Data is focused on a specific geographic and temporal context: Mbarara district, Uganda in March 2025.
• Includes results from both bivariate and multivariable statistical analyses, providing different analytical perspectives.
• Released under a permissive CC BY 4.0 license for reuse.

Limitations

• The dataset is very small at 9.5 KB, indicating limited scope and likely a small sample size.
• Column names and row count are unknown, complicating immediate analysis without inspecting the file.
• Data is from a single district in Uganda, limiting geographic generalizability.

Provenance

Source

figshare, authored by Erastus Tugume.

Collection Method

Survey and statistical analysis of household factors.

Time Range

March 2025.

Freshness

Last updated in March 2026.

Geography

Mbarara district, southwestern Uganda.