Can an independent physical therapy clinic reach the Google Maps top three? 384 listings in 22 cities
The Google Maps top 20 for physical therapy in 22 US cities. Chains, health systems and physician groups hold 46 percent of listings and 42 percent of top-three slots. The median listing has 75 reviews.
Independent physical therapy owners hear one story about the map pack. The national therapy chains run a review program at every front desk, the hospital systems carry a name every patient already knows, and the orthopedic groups refer their own surgical patients down the hall. So the belief goes two ways at once: an independent clinic cannot reach the top three for “physical therapy” in its own city without several hundred reviews, and because the trade runs on referrals, Google reviews are beside the point anyway.
We measured it. At a quarter to nine Central time on the evening of Wednesday, October 14, 2026 (01:45 UTC on October 15, the time stamped on every row of the dataset), we captured the Google Maps top 20 for “physical therapy” plus the city in 22 US cities, 11 large metros and 11 small cities, the same list our roofing, dental, moving and salon studies used. 440 results came back; 384 were physical therapy providers after screening, and every one was tagged by who runs it: an independent clinic, or an organization, meaning a national or regional therapy chain, a hospital or health system, a physician group or an institution.
Both halves of the belief are wrong, and the market an owner is in decides by how much.
Who holds the list
Organizations hold 176 of the 384 listings, 46 percent, and 27 of the 65 top-three slots, 42 percent. They are no more likely to sit near the top than near the bottom: 42 percent of positions 1 to 3 and 49 percent of positions 13 to 20 belong to organizations, and the rank correlation between position and organization status is 0.081, not significant across 384 listings. Position 1 belongs to an independent clinic in 13 of the 22 cities.
In large metros organizations hold 47 percent of listings and 16 of the 32 top-three slots, exactly half. In small cities they hold 44 percent of listings and 11 of 33 top-three slots, a third. Independents in small cities sit higher than organizations do, a median position of 8 against 10, though that gap is not significant either.
The number that varies is not the market’s size but the market itself. Organizations hold a median of 8 of the 20 slots per city, from 2 in Chicago and 4 in Houston to 12 in Tampa, 14 in Indianapolis and 16 in Nashville, where two regional operators hold 16 of the 20 listings between them. Nine cities have an organization at position 1; 15 have at least one in the top three; every city has at least two on the list.
The biggest footprints belong to the chains, not the hospitals. One operator’s site sits behind 15 listings across 4 of our cities, two more behind 11 listings each across 5 cities. Hospital systems appear everywhere but thinly, most holding one or two listings in one city, and several of their outpatient clinics carry fewer than 10 reviews.
Your benchmark
The median physical therapy listing in the top 20 carries 75 reviews and a 5.0 rating. The median listing in the top three carries 154.
| Maps position | Listings | Median reviews | Median rating |
|---|---|---|---|
| 1 to 3 | 65 | 154 | 5.0 |
| 4 to 7 | 86 | 75 | 5.0 |
| 8 to 12 | 99 | 58 | 4.9 |
| 13 to 20 | 134 | 50 | 5.0 |
Several hundred is not the price of entry. 41 percent of the whole top 20 has fewer than 50 reviews, 57 percent fewer than 100, and 99 percent fewer than 500; the most reviewed listing in the sample has 999. In the top three, 20 of 65 listings have fewer than 100 reviews and 42 of 65 have fewer than 200. The least reviewed business in each city’s top three, the floor, has a median of 95 reviews across the 22 cities; 10 of the 22 cities have a top-three listing under 50, and all 22 have one under 200.
That pooled picture is two different pictures.
| Large metros | Small cities | |
|---|---|---|
| Listings rated | 212 | 164 |
| Median listing | 114 reviews | 19 reviews |
| Median top-three listing | 171 reviews | 114 reviews |
| Median floor (least reviewed of the top three) | 106 reviews | 35 reviews |
| Cities with a top-three listing under 50 reviews | 3 of 11 | 7 of 11 |
| Top three as a multiple of the city’s median listing | 1.46 | 3.47 |
The gap between the two groups is significant on a rank test, at 0.405 across 376 rated listings. A metro owner should read the twenty review counts in their own pack and take the middle one: the top three carry about one and a half times it, 1.41 times on independent clinics alone. A small-city owner multiplies by three and a half, 3.03 times on independents, from a much lower base; half of all small-city listings have 19 reviews or fewer, and positions 13 to 20 carry a median of 8.
That is the roofing shape, not the electrician shape. Two weeks ago roofers on this same list of cities gave about one and a half times in metros and about four in small cities, and the multiply-by-three rule from the electrician study did not survive the trip. Physical therapy lands in the same place: in a metro the ladder has a landing, with positions 4 to 7 at 133 reviews and positions 8 to 12 at 134, and in a small city it rises at every step, from 8 to 11 to 34 to 114.
Reviews order the list, and more so where there are fewer of them
The second half of the belief, that reviews do not matter in a referral trade, does not hold. Review count correlates with position at 0.242 across 376 listings, significant; on independents alone, 0.258. In small cities it is 0.472, a moderate relationship, and in large metros 0.238. Inside review thirds the effect lives at the bottom: among listings with 1 to 31 reviews the correlation is 0.223 and significant, while in the middle and top thirds it is 0.065 and 0.024, neither detectable. Getting off the floor matters; piling on past the market’s median is not what the list is sorting on.
Organizations do not hold their positions through volume. The median organization carries 79 reviews against 72 for independents; in metros 138 against 106, in small cities 19 against 19. Held inside review thirds, the two groups sit at the same positions, none of the differences significant. Twenty percent of the top-three slots, 13 of 65, belong to a listing with fewer reviews than its own city’s median listing; those 13 carry a median of 70, and 5 of them are organizations.
Rating is a floor, not a ladder
Fifty-two percent of rated listings sit at exactly 5.0, 77 percent at 4.9 or higher, and 94 percent at 4.5 or higher. Rating does not order the list: the correlation with position is 0.034 and not significant, 0.014 on independents, and 55 percent of the top three and 55 percent of positions 13 to 20 are perfect 5.0s. Organizations are rated lower than independents, a median of 4.9 against 5.0, with the gap significant at 0.336, and it costs them nothing in position.
The 24 listings rated below 4.5 have a median of 7 reviews, 96 percent of them fewer than 50; of the 197 perfect 5.0s, 45 percent also have fewer than 50. Both tiers mostly measure how few people have reviewed a clinic.
What verification changed
The first pass tagged 37 percent of listings as organizations. Reading every kept row outside the physical therapy clinic category, every host seen in two or more cities, and every independent whose name carried a hospital, orthopedic or medical word found 8 individual practitioner listings (a therapist’s name followed by PT or PTA, most with no reviews), 4 nursing or senior living facilities rescued by the word rehab, a chiropractic injury clinic, a massage business and an orthopedic physician practice filed under therapy categories, an inpatient rehabilitation institute kept while the same operator’s hospitals were excluded, and 22 hosts belonging to regional chains, health systems, physician groups and institutions that read as independents because they appear in only one or two of our cities. The shipping run excludes those listings with reasons and tags the organizations. The organization share rose to 46 percent, the median review count moved from 73 to 75, and no conclusion changed between runs. Both runs are on disk; the article and dataset are the second.
Limits
We measured one query, “physical therapy” plus the city, once, from one location setting per city, on a Wednesday evening. Rankings vary by device, personalization, time of day and the searcher’s position inside the city, and a referral-driven clinic may fill its schedule without ever appearing here. At the hour of our search 6 of 369 listings with hours were open, so the open-at-search effect we measured for salons and dentists could not operate here; every listing was closed alike.
We measured only listings that already rank in the top 20, so the sample cannot say what separates these clinics from the ones below position 20, only how the ranking clinics are arranged among themselves. Correlation is not causation: review volume could order the list, or busier clinics could both rank higher and collect more reviews for reasons we did not measure, such as years in operation, number of therapists or referral relationships.
The organization tag is ours. It covers national and regional chains, hospital and health systems, physician groups and institutions, detected from the website behind each listing and the listing name, checked by hand; the independent group therefore includes locally owned practices with more than one clinic, including one that holds six of one small city’s slots. Eight listings showed no rating and are missing, not zero. Fifty-six results were excluded with their reason recorded in the dataset: 9 inpatient rehabilitation hospitals, 8 practitioner listings, 7 sports medicine physician clinics, 6 orthopedic practices, 5 occupational therapy practices, 4 nursing or senior living facilities, 4 medical clinics, 4 chiropractic clinics and 9 others. Review counts and ratings are as Google displayed them at capture and can lag a clinic’s actual reviews.
The data behind this article
Check it yourself.
Every figure above comes from the dataset below, captured . Rows that were screened out of the analysis are included, each with the reason it was excluded, because that screening decision changes findings more often than the analysis does.
Free to reuse with attribution to Ultimate Analytics and a link to this article. If you rerun the analysis and reach a different answer, we would like to know.
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