When I started building the pet names section of NamesPop, I expected to find that dogs and cats are named roughly the same way — that people pull from the same broad pool of popular human names with minor, essentially random variation between species. I was wrong, and being wrong about this turned out to be more interesting than being right would have been.
The NYC and Seattle licensing datasets, analyzed side by side, reveal patterns that are too consistent to be noise. Dogs and cats are named differently — not dramatically, not in ways that immediately stand out when you look at a single list, but in ways that become visible when you measure the right dimensions and compare systematically.
The Datasets: What We Have and What We Miss
A methodological note before the findings, because it matters for how you interpret them.
New York City's dog licensing data is one of the richest pet naming datasets publicly available: hundreds of thousands of dog registrations spanning multiple years, including breed, name, and borough. It covers dogs only — New York City does not have a cat licensing program. Seattle's Pet License data covers both dogs and cats, making it the only dataset in this analysis that allows direct species comparison. The Seattle data is smaller than the NYC dog data, which means some of the finer-grained breed-level analysis is more reliable on the NYC side, while the species comparison is necessarily based on Seattle alone.
The limitation worth acknowledging: licensed pets are not a random sample of all pets. Dog licensing compliance tends to be higher in more affluent neighborhoods with more active code enforcement. Seattle's pet ownership demographics skew somewhat younger and more college-educated than the national average. So when I describe patterns in the data, I am describing patterns in the naming behavior of a particular segment of urban pet owners, not a universal truth about all American pet owners.
With that said: the patterns are real and worth discussing.
Humanization Rate: Are Dogs or Cats More Likely to Get Human Names?
One of the first things I wanted to measure was humanization rate — the percentage of names in each species' dataset that appear in SSA baby name data. A dog named Luna, Max, or Bella is drawing from the human name pool. A cat named Whiskers or Mittens is not.
The Seattle data suggests that the humanization rate is high for both species but differs in character. Dogs and cats both trend heavily toward human names at the top of their respective popularity rankings. Where the difference shows up is in the vintage of the human names chosen and in the overall distribution of naming styles.
Dog names cluster around human names that are currently or recently popular in baby name data — reflecting what James Serpell described in Society and Animals (2003) as anthropomorphic projection of contemporary social norms. Cat names draw from a slightly broader temporal range, including older or more distinctly "literary" human names that have not been commonly given to babies in recent decades: names like Oscar, Felix, Jasper, Minerva. There is a certain vintage quality to many popular cat names that is less pronounced in dog names.
Name Length: Cats vs. Dogs
The short-name cognitive science I described in a previous piece applies to both species, but the distribution looks somewhat different between them in practice.
Dog names in both NYC and Seattle datasets are heavily weighted toward one and two syllables. The pressure toward short names in dogs is particularly strong because dogs are more responsive to name-as-command — you call a dog's name expecting a behavioral response, and short names work better for that purpose, as I discussed in the cognitive science piece. Cats are less reliably responsive to their names in a behavioral sense, which may relax the selection pressure toward brevity somewhat. Cat owners who give their cats longer names are less likely to be corrected by the cat's failure to respond.
In practice, this means that names like Persephone, Cleopatra, and Scheherazade appear in cat datasets (rarely, but noticeably) in ways they almost never appear in dog datasets. The cat's cultural identity as an autonomous, somewhat imperious creature — an identity that cat owners often embrace with affection — makes elaborate formal names feel congruent with the relationship in a way they do not with dogs.
Gender Specificity in Naming
Do cats receive more gender-neutral names than dogs? This is one of the dimensions I was most curious about, and the data suggests yes, but with nuance.
Dogs in the dataset are relatively often given gendered human names: female dogs receive names from the female SSA name pool (Bella, Luna, Daisy) and male dogs receive names from the male pool (Max, Charlie, Cooper) at high rates. The gender correspondence is not perfect — female dogs named Charlie, male dogs named Luna — but it is strong enough to suggest that many owners do care about matching name gender to dog gender.
Cat naming shows a somewhat higher rate of cross-gender name application: female cats named Max or Oliver, male cats named Luna or Lily. This likely reflects a combination of the cat's more ambiguous gender presentation (especially in indoor-only cats where owners have less occasion to observe gender-specific behavior) and the cat owner's generally higher tolerance for gender nonconformity in pet identity, which tracks with demographic research on cat versus dog owner personality profiles.
David Blouin's 2013 research in Anthrozoös on how people conceptualize their relationship to pets found that dog owners and cat owners differ systematically in how they frame the human-animal relationship. Dog owners more often use child or companion metaphors; cat owners more often use what Blouin calls a "humanistic" frame that emphasizes respect for the animal's own nature and preferences. That difference in relational framing may extend to gender: if you conceptualize your cat as a being with its own autonomous identity, you may be less likely to impose a gendered name that fits your category rather than theirs.
Stylistic Era: Vintage Cats, Contemporary Dogs
This is the pattern that surprised me most in the data.
When you cross-reference pet names against SSA data to ask "which decade of baby names does this pet name most strongly resemble?", a difference emerges. The most popular dog names correspond closely to the most popular baby names of the past five to fifteen years — the overlap between the top-20 dog names and the top-20 baby names of 2010-2020 is significant. Dog naming has been closely tracking baby naming trends with a short lag.
Cat names show a different pattern. The stylistic era of popular cat names is more distributed — including names that were popular in baby name data in the 1970s, 1980s, and 1990s, names that would seem somewhat dated for a baby today but feel perfectly apt for a cat. Oscar, Felix, Jasper, Ginger, Max (which has been in use for longer than most baby-name-adjacent names) — these names have a timeless or slightly vintage quality that suits the cultural image of the cat as a creature not entirely subject to contemporary fashion.
The explanation I find most plausible: dog owners are more likely to think of their dog as a social actor in the present moment — a creature who will be introduced at dog parks, mentioned in conversations, tagged in social media posts. That social salience pushes dog naming toward names that feel current. Cat owners are slightly more likely to think of their cat as a private companion, less subject to social presentation norms, which allows the naming to draw from a wider temporal range.
Breed and Size Effects in Dogs
The NYC dataset, with its large sample and breed field, allows for some breed-level analysis. The patterns that emerge are consistent with what research on owner-animal relationship orientation would predict.
Small breed dogs — particularly the toy and companion breeds (Chihuahua, French Bulldog, Maltese, Yorkshire Terrier) — show higher rates of humanization in naming and a higher rate of what I think of as "personality-rich" names: names that imply a social character, an attitude, a persona. These dogs are more often given ironic formal names (Sir Winston, Princess Magnolia), highly humanized names (Bella, Luna, Oliver), or names with strong personality associations.
Large breed dogs — particularly working and sporting breeds (German Shepherd, Labrador Retriever, Doberman, Rottweiler) — show a somewhat different distribution, including more names from the traditional strong-masculine pet name vocabulary (Rex, Zeus, Titan, Duke) and fewer ironic formal names. This is consistent with the hypothesis that owner perception of the dog's role — companion/child versus working partner — shapes the naming register.
What the Differences Tell Us
The Turner and Bateson edited volume The Domestic Cat: The Biology of Its Behaviour (2000, Cambridge University Press) makes a point that has stuck with me: the domestic cat is, in an important sense, a semi-domesticated animal that has retained far more of its wild behavioral repertoire than the domestic dog has. Dogs have been co-evolving with humans for at least 15,000 years and have been actively selected for social responsiveness to humans. Cats have been associated with humans for a shorter time and have been selected much less intensely for human-specific social behavior.
That biological difference seems to carry into naming culture. Dog owners, relating to an animal that has been shaped over millennia to be a social partner for humans, give their dogs names that fit the contemporary social world the dog will inhabit. Cat owners, relating to an animal that retains more of its own agenda, give their cats names that feel somewhat more timelessly appropriate — names that have to fit a creature who will not necessarily play along with whatever social context the name was chosen for.
I did not expect to find that in data. But looking at the patterns, it makes a kind of intuitive sense. The name you choose for your pet is a theory about what kind of relationship you are in. Dogs and cats, it turns out, tend to inspire somewhat different theories.
Data source: NYC Dog Licensing Dataset + Seattle Pet Licenses. Analysis by NamesPop.
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