How We Score Breed Traits: Our Methodology Explained
An inside look at how BreedCompare rates and compares breed traits using data from AKC, CFA, TICA, and veterinary sources.
When you compare two breeds on BreedCompare, you see trait scores ranging from 1 to 5 across categories like energy level, trainability, shedding, and grooming needs. But where do those numbers actually come from? This article explains our complete methodology, from raw data collection to the final scores you see on every breed profile and comparison page.
Our Data Sources
No single registry provides a complete picture of any breed. The American Kennel Club (AKC) maintains breed standards and temperament descriptions for over 200 recognized dog breeds, but their data focuses primarily on conformation and general temperament. The Federation Cynologique Internationale (FCI) covers over 350 breeds recognized internationally, often with more detailed working-ability assessments. For cats, the Cat Fanciers' Association (CFA) and The International Cat Association (TICA) serve as our primary registries, covering over 70 recognized breeds between them.
Beyond breed registries, we draw on peer-reviewed veterinary literature, particularly for health-related traits. Studies from the Journal of the American Veterinary Medical Association (JAVMA), the Veterinary Journal, and the Journal of Veterinary Internal Medicine inform our health predisposition scores. The Orthopedic Foundation for Animals (OFA) database provides breed-specific prevalence data for conditions like hip dysplasia, elbow dysplasia, and cardiac disease.
We also incorporate data from large-scale behavioral studies. The C-BARQ (Canine Behavioral Assessment and Research Questionnaire), developed at the University of Pennsylvania, provides owner-reported behavioral data across thousands of dogs per breed. A 2022 study published in Science analyzing over 18,000 dogs found that breed explains only about 9% of behavioral variation in individual dogs, but breed averages remain statistically meaningful for comparison purposes.
The Scoring Framework
Every trait on BreedCompare uses a 1-to-5 scale. We chose this range because it provides meaningful differentiation without implying false precision. A 10-point scale, for example, would suggest we can distinguish between a 6 and a 7 in trainability, which the underlying data simply does not support.
Here is what each score level means across our key trait categories:
Energy Level: A score of 1 indicates a breed that is content with minimal daily exercise, typically under 30 minutes. Think Basset Hound or Persian cat. A score of 5 indicates a breed that requires over 90 minutes of vigorous daily exercise and may develop behavioral problems without it, such as the Border Collie or Belgian Malinois.
Trainability: This measures how quickly a breed typically learns new commands and how willingly it responds. A score of 1 does not mean a breed is unintelligent; the Afghan Hound scores low on trainability not because it lacks cognitive ability, but because it was bred for independent decision-making during hunts. A score of 5, seen in breeds like the Poodle and Golden Retriever, indicates a breed that is both cognitively capable and naturally inclined to cooperate with human direction.
Shedding: We rate shedding based on the volume and frequency of hair loss under normal conditions. Seasonal blowouts (common in double-coated breeds like the Siberian Husky) are noted separately. For a detailed explanation, see our article on what shedding ratings actually mean.
Health Score: This is our most complex metric. It incorporates the number of breed-specific health conditions recognized by the OFA, the severity and treatability of those conditions, average lifespan relative to body size, and the breed's inbreeding coefficient. A higher score indicates fewer breed-specific health concerns and a generally robust constitution.
How We Handle Conflicting Data
Registries do not always agree. The AKC might describe a breed as "moderately active" while the FCI standard emphasizes its working endurance. When sources conflict, we follow a hierarchy: peer-reviewed research takes precedence over registry descriptions, which take precedence over breeder anecdotes. When peer-reviewed data is unavailable for a specific trait, we average across registry descriptions and weight the source closest to the breed's country of origin more heavily.
For newly recognized breeds with limited data, we clearly mark scores as provisional. The Biewer Terrier, recognized by the AKC in 2021, has far less behavioral research than the Labrador Retriever, and our scores reflect that uncertainty.
The Comparison Algorithm
When you use our breed comparison tool, we do more than display two trait profiles side by side. Our comparison algorithm highlights statistically meaningful differences. If two breeds both score a 3 in energy level, we note the similarity. But if one scores 2 and another scores 4, we flag that as a significant difference likely to affect your daily life as an owner.
For the breed finder quiz, we use a weighted matching system. Your answers about living space, activity level, experience with dogs, and time availability generate a preference profile. We then calculate a compatibility score against every breed in our database, factoring in how each trait aligns with your stated preferences. Traits you mark as "very important" receive double weight in the matching calculation.
What Our Scores Do Not Capture
Individual variation within a breed is substantial. The 2022 Science study mentioned earlier found that while breed averages are real, individual dogs can vary dramatically from their breed's typical behavior. A low-energy Labrador Retriever exists, just as a high-energy Bulldog does. Our scores represent the breed average, not a guarantee for any individual animal.
We also do not score subjective aesthetic preferences. Coat color preferences, ear shape, facial expression, and general "look" are personal taste, not objective traits. Likewise, we do not score a breed's popularity or trendiness, as these fluctuate and have no bearing on suitability.
Continuous Improvement
Our methodology is not static. We review and update scores when significant new research is published, when breed registries update their standards, or when breed-specific health data changes materially. We also track which traits users compare most frequently and ensure those traits have the most robust underlying data.
If you believe a score is inaccurate, we welcome corrections backed by specific data. You can reach us through our contact page. Every correction we receive is investigated and, if supported by evidence, incorporated into our next update cycle.
Transparency is fundamental to what we do. We would rather show you a score marked as provisional than present uncertain data with false confidence. Every breed comparison you see on BreedCompare is the result of this systematic, data-driven process.