Tony Wang14 min readThe Average US Business Has 69 Google Reviews. 86.6% Have Fewer.
A census of 19.5M US Google Maps listings and 1.34 billion reviews: the top 10% of businesses hold 85.9% — more concentrated than US household wealth.
Every local-SEO guide opens with the same kind of sentence: the average business has this many reviews, so you should aim for that many. The number moves around between studies, but the shape of the claim never does — a single average, offered as a target.
We pulled the whole distribution instead of an average, and the distribution says the average is the wrong tool. The mean US listing has 68.9 reviews. The median has 3. Those two numbers describe the same population.
The average describes almost nobody
When a mean sits 23x above its own median, the mean is being dragged by a tail. Here is where the 1.34 billion reviews actually sit:
| Listings, ranked by review count | How many | Reviews each | Share of all US reviews |
|---|---|---|---|
| Top 0.1% | 19,504 | 4,304+ | 11.72% |
| Top 1% | 195,015 | 1,229+ | 37.79% |
| Top 5% | 977,655 | 304+ | 72.21% |
| Top 10% | 1,954,807 | 115+ | 85.91% |
| Top 25% | 4,977,577 | 18+ | 96.48% |
| Bottom 50% | 9,439,748 | 3 or fewer | 0.67% |
The bottom half of American businesses on Google Maps — nearly 9.5 million of them — share 0.67% of the country's reviews between them.
6,146,261 listings have exactly one review — 31.52% of the country. Add the 1,843,340 with none, and 41% of American businesses on Google Maps have a public reputation resting on at most a single stranger's opinion.
More concentrated than American wealth
Wealth concentration is the reference point most people already have an intuition for. Review concentration is worse on every measure:
| Group | Share of US household wealth | Share of US Google reviews |
|---|---|---|
| Top 1% | 31.63% | 37.79% |
| Top 10% | 67.96% | 85.91% |
| Bottom 50% | 2.45% | 0.67% |
The comparison is deliberately literal — both columns are shares of a total held by a ranked population — but the two populations differ (households versus business listings), so read it as a calibration of scale, not as an economic equivalence. The Gini coefficient for US review counts is 0.8989.
What we tried to break it with
An extreme concentration figure usually has a boring explanation hiding inside it. We looked for three and did not find them.
It is not the landmarks. Central Park has 301,364 reviews, Walt Disney World 271,535, Times Square 243,636. But the entire top 100 listings in the country account for just 0.761% of all US reviews. Even the top 10,000 only reach 8.22%. The concentration is broad, not a handful of megahits.
It is not the non-businesses. Google Maps carries bus stops, parks, ATMs, schools, churches and apartment buildings alongside real businesses. Dropping all of them removes 2.2 million listings and moves the Gini from 0.8989 to 0.8927 — top 1% at 36.22%, top 10% at 84.67%, median 4. Essentially unchanged.
It is not one weird category. Computed inside single categories, the Gini runs from 0.757 (restaurants) to 0.898 (medical clinics). There is no category where reviews are distributed evenly.
Reviews follow purchase frequency, not importance
Sorting categories by their exact median review count produces a ranking that has nothing to do with how much the business matters to your life:
| Category | Listings | Median reviews | Mean reviews | Gini |
|---|---|---|---|---|
| Restaurant | 173,022 | 66 | 288.4 | 0.757 |
| Hair salon | 139,924 | 15 | 60.9 | 0.759 |
| Convenience store | 106,713 | 9 | 39.3 | 0.779 |
| Auto repair shop | 166,917 | 8 | 62.2 | 0.827 |
| Beauty salon | 165,648 | 8 | 34.8 | 0.769 |
| Gas station | 144,215 | 6 | 36.5 | 0.796 |
| Insurance agency | 157,648 | 3 | 26.0 | 0.853 |
| Real estate agent | 152,066 | 3 | 14.2 | 0.758 |
| Medical clinic | 176,010 | 1 | 24.5 | 0.898 |
| Dentist | 232,060 | 1 | 56.0 | 0.895 |
| Family practice physician | 124,327 | 1 | 9.9 | 0.860 |
| Doctor | 161,893 | 1 | 5.6 | 0.868 |
You pick a restaurant weekly and a dentist twice a year, and the review counts follow that cadence exactly. The result is that the categories where a stranger's experience would be most useful — the ones involving your teeth, your health, your money — are the ones with almost no reviews. The median US dentist has one review. So does the median doctor.
The mean column shows how badly an average misleads here. A "typical" dentist reportedly has 56 reviews. The actual typical dentist has one.
Inside your own county, it is still lopsided
A national Gini compares a Manhattan restaurant to a rural diner, which is not the comparison any business owner faces. So we recomputed inside single counties, where businesses genuinely compete:
| County | Restaurants | Median | Top 10% hold | Dentists | Median | Top 10% hold |
|---|---|---|---|---|---|---|
| New York County, NY | 1,230 | 93 | 59.8% | 2,521 | 1 | 82.9% |
| Cook County, IL | 2,450 | 80 | 59.7% | 4,708 | 1 | 85.4% |
| Los Angeles County, CA | 3,737 | 69 | 60.5% | 6,655 | 2 | 78.9% |
| Harris County, TX | 2,025 | 30 | 70.3% | 2,954 | 1 | 77.8% |
| Polk County, IA | 262 | 140 | 48.6% | 373 | 1 | 90.0% |
| Chittenden County, VT | 158 | 52 | 53.1% | 192 | 1 | 93.3% |
Concentration barely loosens when you zoom all the way in. In Chittenden County, Vermont, the top 10% of dentists hold 93.3% of the county's dentist reviews.
Who escapes: chains, and anyone with a website
Two things predict being on the winning side, and neither is quality.
Chains have effectively solved review invisibility. A Planet Fitness location carries roughly 29 times the reviews of a median US gym, and chain locations are almost never review-less:
| Listings | Median reviews | Zero-review rate | |
|---|---|---|---|
| Planet Fitness | 2,062 | ~485 | 0.34% |
| All US gyms | 58,506 | ~17 | 3.58% |
| McDonald's | 14,001 | ~1,182 | 0.10% |
| All fast food | 74,413 | ~572 | 0.80% |
| Aspen Dental | 3,798 | ~3 | 3.98% |
| All dentists | 235,287 | ~1 | 7.71% |
And having no website costs roughly eight times the reviews. The 8.15 million US listings with no website at all are the same population nobody reviews:
reviews per listing · median 8 · 6.22% have none
reviews per listing · median 1 · 13.54% have none
Disadvantage compounds. The businesses least visible on the open web are also the ones with the least social proof on the map.
A perfect rating mostly means "almost no data"
4,425,433 US listings show a flawless 5.0 — 22.08% of all US listings, and about a third of the ones that carry a rating at all. That sounds like a lot of excellent businesses. It is mostly a lot of thin evidence:
- 47.5% of those perfect ratings rest on three reviews or fewer (1,274,188 have exactly one).
- Only 7.21% of 5.0-rated listings have 50 or more reviews.
- Median review count behind a 5.0 rating: about 4. Behind a 4.5–4.9 rating: about 30.
The lower-rated business is usually the better-evidenced one. And mean rating peaks in the middle of the volume range, not at the top — 4.501 for listings with 25–125 reviews, sliding to 4.344 for those with 1,255–4,400. Getting reviewed more does not make a business look better; it makes it look more ordinary, because the early reviews were never a representative sample. This is the volume-side companion to the rating-precision effect we documented earlier.
Why the standard benchmark says 39
The most-cited source in this space is BrightLocal's Google Reviews Study, published in 2018 and still being updated as recently as October 2025. It reports that local businesses have an average of 39 Google reviews, and that businesses in the top three local positions average 47.
Its method explains the gap. From the study's own methodology section: researchers took 10,334 local keywords and pulled the ten top-ranking businesses in Google Local for each, then measured those. That is a sample of businesses that already won — roughly 93,845 of them, drawn from the visible end of exactly the distribution above. It is a perfectly good description of the local pack. It is not a description of businesses.
The same study cites a consumer survey finding that people want to see about 40 reviews before trusting a star rating. Against the full population, only 17.62% of US listings clear that bar.
This is not an American problem
If review inequality were about American consumer habits, it should look different elsewhere. It does not:
| Country | Listings | Median reviews | Gini | Top 10% hold |
|---|---|---|---|---|
| Mexico | 3,812,250 | 3 | 0.9232 | 90.4% |
| Indonesia | 3,568,067 | 4 | 0.9134 | 88.9% |
| United Kingdom | 5,401,982 | 2 | 0.9067 | 86.6% |
| India | 8,930,928 | 6 | 0.8997 | 85.9% |
| United States | 19,500,713 | 3 | 0.8989 | 85.9% |
| Brazil | 4,790,983 | 6 | 0.8894 | 84.1% |
| Japan | 5,895,312 | 3 | 0.8845 | 84.2% |
| Germany | 5,261,154 | 4 | 0.8740 | 81.4% |
Eight major markets, four continents, and the Gini sits in a band from 0.874 to 0.923. The US is unremarkable inside it. Whatever produces this shape is a property of how review platforms accumulate attention, not of any one country's customers.
China is the exception that proves the mechanism: 7,462,405 listings, a median of 0 reviews, and a Gini of 0.9945 — because Google is blocked there, so the map exists but nobody can review it. We wrote about that population separately; it has grown since, and it is excluded from the table above rather than allowed to distort it.
What it means
A single average is the wrong summary for a distribution this skewed, and almost every published "how many reviews should I have" benchmark is built on one — usually computed over businesses that had already won visibility. The honest version of that advice is bleaker and more useful: the median US business has three reviews, the median dentist has one, and clearing 40 puts a listing in the top 18% of the country.
Sources
Query the Google Maps dataset yourself
Every figure in this post came from live queries against Crawlora's Google Maps business dataset — 132 million listings, filterable by country, state, county, category, rating and review count. 2,000 free credits a month, no card.
Frequently asked questions
How many Google reviews does the average US business have?
The mean is 68.9 across 19,500,713 US listings carrying a review count, but that number describes almost nobody: 16,882,191 listings — 86.57% — have fewer reviews than the mean. The median is 3. The gap exists because the distribution is extremely skewed, with a Gini coefficient of 0.8989, so a small number of very heavily reviewed listings drag the average far above the typical one.
How concentrated are Google reviews across businesses?
More concentrated than American wealth. The top 1% of US listings hold 37.79% of all 1,343,963,940 reviews and the top 10% hold 85.91%, while the bottom half holds 0.67%. For comparison, the Federal Reserve's Q1 2026 Distributional Financial Accounts put the top 1% of households at 31.63% of net worth, the top 10% at 67.96% and the bottom 50% at 2.45%.
Is this just a few famous landmarks skewing the numbers?
No. The single most-reviewed US listing is Central Park at 301,364 reviews, but the entire top 100 listings account for only 0.761% of all US reviews and the top 10,000 reach just 8.22%. Excluding bus stops, parks, ATMs, schools, churches and apartment buildings removes 2.2 million listings and moves the Gini only from 0.8989 to 0.8927. The concentration also holds inside single counties: in Cook County, Illinois the top 10% of dentists hold 85.4% of dentist reviews.
Which kinds of businesses have the fewest reviews?
Healthcare, by a wide margin, and the pattern tracks how often you choose a business rather than how important it is. Exact median review counts are 66 for restaurants, 15 for hair salons, 8 for auto repair shops and 3 for insurance agencies, but exactly 1 for dentists, doctors, medical clinics and family practice physicians. The median US dentist has one review, even though the mean dentist appears to have 56.
Why do published studies say the average is around 39 reviews?
Because they sample winners. BrightLocal's widely cited Google Reviews Study identified 10,334 local keywords and measured the ten top-ranking businesses in Google Local for each, roughly 93,845 businesses drawn from the visible end of the distribution. That describes the local pack accurately but is not a description of the business population. The same study cites a consumer expectation of about 40 reviews before trusting a rating; only 17.62% of US listings clear that bar.
Is review inequality specific to the United States?
No. Gini coefficients run from 0.8740 in Germany to 0.9232 in Mexico across the largest countries in the dataset, with the United States mid-pack at 0.8989 and the top 10% holding between 81.4% and 90.4% of reviews everywhere. China is a separate case at 0.9945 with a median of zero reviews, because Google is blocked there, so its listings exist but cannot be reviewed.