International Pet Owner Survey Data for Human-Animal Bond Clustering

19,187 dog and cat owners across 10 countries were surveyed as part of the International Survey of Pet Owners and Veterinarians. The data was used in a model-based clustering analysis to identify distinct strata of pet owners based on their bond with their animal. The study was authored by Danny Maupin and the dataset was last updated on 2026-05-12.

Use Cases

• Clustering pet owner segments based on emotional attachment and spending behavior mentioned in the description
• Analyzing gender differences in reported bond strength with pets as suggested by the results
• Modeling the relationship between pet ownership characteristics and reported health impacts
• Comparing ownership patterns and attitudes between dog and cat owners across different countries

Strengths

• Large-scale sample of 19,187 pet owners
• International coverage across 10 countries
• Analysis identified distinct clusters using Bayesian Information Criterion

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 bias inherent to the specific 10 surveyed countries

Provenance

Source

International Survey of Pet Owners and Veterinarians

Collection Method

Survey data analyzed via model-based clustering (Bayesian Information Criterion)

Freshness

Last updated 2026-05-12 04:19:57; freshness should be verified

Geography

10 countries