Supplementary file 1_Companion animal owner “types” identified using a large-scale interna

An international dataset of 19,187 dog and cat owners across 10 countries, collected via the International Survey of Pet Owners and Veterinarians. The data was used in a model-based clustering study to identify owner strata based on the human-animal bond. The dataset was authored by Danny Maupin and last updated on 2026-05-12.

Use Cases

• Clustering analysis of pet owner types based on survey responses about the human-animal bond.
• Comparative studies of dog versus cat owner characteristics across different countries.
• Investigating correlations between reported bond strength and spending on veterinary products.
• Analyzing gender differences in reported emotional connections with pets.

Strengths

• Large-scale international sample of 19,187 dog and cat owners.
• Data-driven clustering approach validated using Bayesian Information Criterion.
• Explicitly compares results across 10 different countries.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic and cultural bias inherent to the survey's 10-country scope.

Provenance

Source

International Survey of Pet Owners and Veterinarians.

Collection Method

Survey data analyzed using model-based clustering.

Freshness

Last updated 2026-05-12 04:19:55; freshness should be verified.

Geography

10 countries (specific countries not named).