We measured every pharmacy listing that ranks on Google Maps in 40 US cities. 721 listings. The typical one carries 43 reviews and a 3.8 rating.
In plain terms: a mid-pack ranking listing has around 43 reviews and a 3.8 rating. The middle half of everything that ranks sits between 21 and 89 reviews, which is a very wide spread. And 81% ranking listings is rated below 4.5, so the rating is not the gate people assume it is.
Method. Google Maps results for “pharmacy in {city}” across the 40 largest US cities, collected 1 September 2026, signed out, twenty results deep per city. 800 listings returned. 79 were removed because Google classifies them as something other than a pharmacy, leaving 721. Of those, 674 display a review count. Sponsored listings are stored and counted but never averaged into these figures. Ratings and review counts are Google’s own displayed values. Rankings vary with the searcher’s exact position, so treat city-level figures as a benchmark rather than a forecast. Full methodology. Re-measured quarterly, and this block stops rendering if a reading goes more than 180 days stale.
The common advice is that Google will not rank you below 4.5 stars. Across 721 ranking listings, 19% sit at 4.5 or above. Which means 81% does not. The lowest rating we recorded on a listing that was ranking was 1.0.
That cuts both ways, and the second half matters more.
A high rating does not rank you. 10% of ranking listings are already at 4.8 or better. At that density, moving from 4.7 to 4.9 buys you almost nothing in position. It buys you something in conversion, which is a different and still worthwhile argument.
A dip does not remove you. If your trailing average slides to 4.4 you are in an unglamorous minority, not out of the results. That is worth knowing before you spend a quarter panicking about a rating instead of building review volume and fixing proximity, which are what actually separate positions here.
What the rating does is decide whether someone who sees you clicks you. Treat it as a conversion number, measure it like one, and stop treating 4.5 as a cliff edge.
We ran the identical measurement on drug stores, same 40 cities, same day, same depth. It is the closest neighbouring category we have measured, which makes it the comparison worth drawing.
A ranking drug store listing has a median of 79 reviews against 43 here. Its bottom quartile sits at 34 against 21. And that tail is closed: one in ten top-three drug stores listings has 12 reviews or fewer, where the figure here is 9.
Read together, those numbers describe the opportunity. This category has the more permeable bottom of the two. A well-run business with modest review volume, a complete profile and the right proximity can hold a top-three spot here in a way its counterpart next door cannot. That gap closes as the city gets bigger.
You will read that sponsored listings sit above every local pack and swallow the clicks. We looked for them in all 40 cities. We found 3 sponsored pharmacy listings, in 2 cities. The other 38 returned none at the moment we measured.
Two honest caveats. Maps ads are an auction and they turn over through the day, so one snapshot per city tells you where ads were running that morning and not much about the rest of the week. And a small paid presence is not the same as a small paid opportunity. A thin auction is usually an argument for testing it rather than avoiding it.
80% of ranking listings use the primary category Pharmacy. Nothing else comes close. If you are on Pharmacy, the burden of proof for switching is high.
| Google category | Listings in our sample | Share |
|---|---|---|
| Pharmacy | 580 | 80.4% |
| Drug store | 98 | 13.6% |
| Hospital | 3 | 0.4% |
| Medical Center | 3 | 0.4% |
| Passport photo processor | 2 | 0.3% |
| Non-profit organization | 2 | 0.3% |
| Medical clinic | 2 | 0.3% |
| Hamburger | 2 | 0.3% |
Category names are Google’s own strings, and counts are listings observed across 40 cities. A further 79 listings ranked for this query under unrelated categories. They are excluded from every figure on this page, but they are real competitors for the click.
Straight from the collection, three large metros and three mid-sized. Each name links to its Google listing so you can check any row yourself.
| Listing | City | Rank | Rating | Reviews |
|---|---|---|---|---|
| CVS | Austin | 1 | 3.4 | 191 |
| CVS Pharmacy | Austin | 2 | 4.2 | 62 |
| Capsule | Austin | 3 | 4.5 | 339 |
| Walgreens Pharmacy | Boston | 1 | 3.8 | 15 |
| CVS Pharmacy | Boston | 2 | 4.3 | 17 |
| CVS Pharmacy | Boston | 3 | 3.8 | 18 |
| Walgreens Pharmacy | Chicago | 1 | 3.7 | 6 |
| CVS Pharmacy | Chicago | 2 | 3.4 | 19 |
| CVS | Chicago | 3 | 3.4 | 145 |
| Ohio Health Group | Columbus | 1 | 2.5 | 2 |
| The State of Ohio Board of Pharmacy | Columbus | 2 | 1.6 | 100 |
| Apothecare Pharmacy (only open to Southeast Healthcare patients) | Columbus | 3 | 4.3 | 26 |
| Modern Drug | Fresno | 1 | 4.6 | 41 |
| CVS Pharmacy y más | Fresno | 2 | 3.9 | 81 |
| UCSF School of Pharmacy | Fresno | 3 | 5.0 | 1 |
| CVS pharmacy box | Indianapolis | 1 | 3.2 | 14 |
| Walgreens | Indianapolis | 2 | 4.4 | 44 |
| Walgreens Specialty Pharmacy | Indianapolis | 3 | 4.5 | 19 |
Each of these is a separate discipline with its own measurement. Start with whichever gap is widest for you.
Proximity, categories and the profile fields that decide whether you appear at all. The 43-review median is the target this work is measured against.
The profile itself: hours, attributes, services, photos and the edits that quietly get reverted.
Rating is a conversion lever here, not a ranking gate. 10% of ranking listings already sit at 4.8 or better.
Getting from where you are to 43 reviews, with a monthly target per location and a realistic timeline.
Name, address and hours consistent everywhere they are published, so nothing contradicts your profile.
Rankings measured on a grid around each location, so you can see the radius you actually own.
What we actually run against the benchmarks above, rather than a generic local checklist.
| Work | Why it matters when the median is 43 reviews |
|---|---|
| Review velocity per location | Closing a gap from 21 reviews to the 43 median is a volume problem with a timeline attached. We set a monthly target per location from its own gap and track against it, not against a group average that hides your weakest site. |
| Rating as a conversion metric | Rating does not gate ranking in this category, so we stop reporting it as a ranking risk and start reporting it against calls and direction requests, where it actually moves. 19% of ranking listings are at 4.5 or above, which means the floor is softer than you have been told. |
| Category and attribute governance | Primary category, hours, attributes, services and the booking link. These are the fields customers filter on, and the ones that drift when staff edit profiles or Google accepts a third-party correction. |
| Proximity grid tracking | Rankings measured on a grid around each location. In a category where a quarter of mid-sized-city listings rank on 21 reviews or fewer, proximity is doing more of the work than volume, and a city-level number hides that entirely. |
| Duplicate and suspension watch | Duplicate profiles split your reviews between two half-dead listings. Suspensions in regulated categories are slow to reverse. Both are cheaper to prevent than to fix, and both are invisible until someone is watching for them. |
| Benchmarks refreshed quarterly | Every figure on this page is re-measured across 40 cities each quarter. Your targets move when the market moves, rather than when someone remembers to update a slide. |
Review count against 43, for each location separately. Group averages hide the one site dragging the network down, and in a multi-site group the spread between your best and worst location is usually wider than the spread between cities.
Category, hours, attributes, booking link. This is the cheapest work and the only part that moves in days rather than months. 86% of ranking listings are claimed, so an unclaimed profile is a genuine outlier.
A location 22 reviews below the median needs roughly six to nine months at a realistic request rate. Anyone quoting six weeks is either buying reviews or measuring something else, and bought reviews are a suspension risk.
City-level rank is too coarse to attribute results to. Set the grid baseline first or you will not know what worked, and you will spend the next quarter arguing about it.
The median ranking listing across 40 US cities carries 43, with the middle half between 21 and 89. That spread is the real answer: there is no single threshold. A quarter of everything that ranks does so on under 21 reviews.
In a smaller city, often yes. One in ten listings holding a top-three spot in a mid-sized city has 13 reviews or fewer. In a large metro that figure is 6. The mechanism is proximity rather than volume, and grid tracking will tell you which radius you already own.
Lower than you have been told. 19% of ranking listings sit at 4.5 or above, which means 81% does not, and the lowest we recorded was 1.0. Rating is not a ranking gate in this category. It decides who clicks you, not whether you appear.
580 of 721 ranking listings use Pharmacy, and 98 use Drug store. It is the default and switching away from it needs a real reason rather than a hunch about intent.
Less than drug stores, on the same measurement. Drug stores have a median of 79 reviews against 43 here, and a bottom quartile of 34 against 21. This category has a more permeable tail.
Profile and category work shows within days to a few weeks. Review volume is the slow part and it sets your ceiling. Faster quotes usually mean bought reviews, which is a suspension risk, or a different metric being reported.
Quarterly, across the same 40 cities, with the same query and the same depth. This block stops rendering if a reading goes more than 180 days stale, so a number here is never older than two quarters. Where a figure changed from a previous version it changed because the measurement changed, and we say so.
The free audit reads your live Google profile and puts your review count and rating against the 40-city benchmark for your category.