Is the bar lower in a small city? 394 veterinary practices in the Google Maps top 20, measured

Every benchmark study of local search, including the three we have published, has the same hole in it. The samples come from large metros, because that is where the data is dense, and the reader in a small city is left to guess whether any of it applies. Most of them assume it does not. The common belief, repeated by owners in smaller markets and by the agencies that decline to serve them, is that the bar out there is simply lower: fewer competitors, fewer reviews, less website needed.

We tested that belief on one vertical. On September 12, 2026 we captured the Google Maps top 20 for “veterinarian” in 22 American markets, 11 large metros and 11 small cities, and measured every practice that appeared: 408 listings, 394 veterinary practices after screening, and 345 websites we could read.

The belief is half right, and the half that is wrong is the half that matters if you want to win rather than merely appear.

The benchmark: 542 reviews in a metro, 141 in a small city

Measure	Large metros	Small cities
Practices measured	219	175
Median Google reviews	542	141
25th percentile reviews	317	13
Median rating	4.7	4.7
Median website pages	71	40
Has its own website	99 percent	83 percent

That is the number to write down. If you run a practice in a large metro, the typical competitor holding a top 20 slot has 542 Google reviews. In a small city, the typical competitor has 141. The gap is not noise. As a rank correlation between market size and review count it is 0.564 across 388 practices, the strongest relationship in the study.

So the belief survives its first test. The field really is thinner where there are fewer people.

The rating bar does not move at all

The second half of the belief does not survive.

The median rating is 4.7 in both kinds of market. Seventy-five percent of practices sit at 4.5 or better and 35 percent at 4.8 or better. The correlation between market size and rating is 0.045 across 388 practices, which is no relationship at all. Whatever a small market forgives, it does not forgive a mediocre rating.

That matches what we found measuring dental practices, where rating behaved like a door rather than a staircase. The door is the same height everywhere.

The top of a small list is not cheap

Here is where the lower bar story breaks.

We split each market’s list into position bands and read review counts inside each stratum separately, because a correlation pooled across large and small markets can be produced by the gap between them rather than by anything happening inside either one.

Maps position	Large metros	Small cities
1 to 3	904 reviews	530 reviews
4 to 7	562	243
8 to 12	576	31
13 to 20	400	21

Read the small city column downward. The bottom half of a small city’s top 20 is held by practices with 21 to 31 reviews, which is close to nothing. The top three are held by practices with a median of 530, which is within reach of the 542 that is merely typical in a large metro.

The discount in a small city is a discount on appearing, not on winning. Showing up somewhere in the list is easy, because there are not enough established practices to fill twenty slots. Reaching the top three costs about what it costs in a metro.

Review volume also tracks position more tightly inside small cities than inside large ones: 0.579 against 0.376, both significant. Neither proves that adding reviews causes movement, but in a thin market review count is close to the whole visible ordering of the list.

Four small cities do not have twenty practices

One structural finding deserves attention before any benchmark. Google returned a full 20 results in all 11 large metros. In the small cities it returned 6 in one market, 11 in another, 13 in a third and 18 in a fourth. Across all 22 markets the median yield was 20 usable listings and the thinnest was 6. If your market is one of those, the competitive set is not twenty practices.

Thirty practices are ranking without a website of their own

In the large metros, 217 of 219 ranking practices had a website we could attribute to them. In the small cities, 145 of 175 did. The other 30 had no website in the listing at all, or pointed at a Facebook page, a pet store location page or a third-party aggregator. They are ranking anyway, which is the clearest evidence here that position in a thin market is decided by the profile and its reviews rather than by the website behind it.

The websites that do exist are smaller: a median of 40 pages against 71 in the metros. We scored every measurable homepage out of the same eight conversion and trust features we used on med spas last week. The median veterinary practice scores 2 of 8, and in small cities it is 1. Not one of the 331 sites we could fully score carried more than 6. Online booking appears on 40 percent of sites and is the measure where the two kinds of market are nearly identical, at 41 and 39 percent. A blog or resources link separates them most, 59 percent against 38 percent.

What verification changed

Our first run reported a small city median of 175 reviews. The number above is 141, and the reason is worth more than the number.

The engine excluded any listing whose website it could not measure. That rule was written for Google’s organic results, where a directory sitting in the top ten is not a local business. Applied to Maps it quietly deleted practices for the sin of not having a website. Thirty six of the 39 listings dropped in the first run were in small cities: solo veterinarians with no site, and practices whose listing points at Facebook. Cutting them removed the low end of exactly the population under test, and flattered the small market by 34 reviews.

The rule is now different for Maps. The business stays, its website is reported as unmeasurable, and the statistics say how many subjects they could not see. Three VA Vet Centers, which serve military veterans and not pets, also ranked for “veterinarian” in small cities and passed the first screen; they are excluded by category now. The two largest sitemaps in the first run, both far bigger than anything in the final data, turned out to belong to hosts that were not the practice’s website at all.

Limits: what this cannot tell you

Every practice here already ranks in the top 20. This study describes how the top 20 differs between large and small markets. It cannot say what separates a ranking practice from one that never appears, because those practices are not in the data.

Market size is a label we assigned by choosing 11 large metros and 11 small cities, not a measured population variable. The two groups differ in more ways than population, including practice density and the presence of emergency and specialty hospitals.

Results were captured once, on September 12, 2026, with one query per market. Maps results vary by the searcher’s exact position, device and time. Ratings and review counts are as Google displayed them at capture. Page counts come from published sitemaps and 105 practices had none we could read, so they are missing rather than zero. Homepage features are read from the homepage only, and 14 homepages answered with too little readable text to measure, so they are reported as unmeasured rather than as lacking every feature. Fourteen listings were excluded as businesses this study does not measure, including boarding kennels, shelters and the VA centers, each with its reason in the dataset.

We did not measure business profile completeness, photos, review recency, response rates, category selection or distance from the center of the map, and any of those could carry more of the explanation than review volume does. Correlation here describes what co-occurs among practices that already rank.

The number to write down

If you run a veterinary practice in a small city, the median competitor in your top 20 has 141 reviews and a quarter of them have 13 or fewer. Appearing is not the hard part. The three practices above you have a median of 530, and closing that gap is the whole job. Your rating has to be what it would have to be in a metro.

If you run one in a large metro, 542 is the middle of your list, 317 puts you in the bottom quarter, and 904 is the median of the top three.

The full dataset, including the 14 exclusions with their reasons and the 32 practices whose websites we could not measure, is below.