International Pet Owner Survey Data for Human-Animal Bond Clustering

Supplementary file 3_Companion animal owner “types” identified using a large-scale international assessment of the human-animal bond is a dataset from the International Survey of Pet Owners and Veterinarians, encompassing 19,187 dog and cat owners across 10 countries. Danny Maupin authored this data-driven study, which used model-based clustering to identify strata of pet owners based on their bond with their animal. The dataset was last updated on May 12, 2026.

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 described in the results
• Comparing ownership characteristics between identified clusters of dog and cat owners
• Investigating correlations between pet bond strength and reported health impacts

Strengths

• Large-scale international sample of 19,187 dog and cat owners
• Data spans 10 countries, providing cross-national perspective
• Analysis identifies distinct owner 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 is provided as a DOCX file (107.9 KB), suggesting limited raw data or a summary document

Provenance

Source

International Survey of Pet Owners and Veterinarians

Collection Method

Survey data analyzed via model-based clustering approach

Freshness

Last updated 2026-05-12 04:19:58; freshness should be verified

Geography

10 countries (specific countries not named)