Site selection for a dental practice: where new patients will book

A dental practice does best where enough residents live within a short trip, the dentists already there are not crowding each other, and patients can get in easily twice a year for years. Count the people near each candidate site, count the practices serving them, read how those practices are rated, and check access by car and on foot. Dentistry is a habit business: the site that keeps a patient coming back for ten years matters more than the one that catches a passer-by once.

This article is for dentists opening their own practice, associates buying in, and dental groups adding a branch. It explains how dental markets differ from other clinics, what the figures in three big cities say, a worked example in Bangkok, the usual mistakes, and an AI employee that screens addresses.

Why dental is its own kind of site decision

• Visits repeat. A check-up and a clean every six months means the same patient travels to you again and again. A trip that feels fine once can feel long the tenth time.
• Patients choose on trust and reviews. Ratings matter more than for a shop, because people are choosing someone to work in their mouth.
• Most practices are independent. You compete mostly with owner-run practices, not a few big chains, so local reputation travels by word of mouth.
• Families come together. A parent who books the children often books themselves at the same time, so homes with children are worth more than their head count suggests.

What the figures in three cities show

For scale, here is what xMap's places database lists within 10 km of the centre of three cities in November 2026. In each, the chain share and ratings are of the few hundred practices nearest the centre, not of the whole count.

xMap's places database, November 2026; chains, rating and openings are of the dentists nearest each city's centre.

Two readings stand out. First, in all three cities the practices nearest the centre are overwhelmingly independent, so a new practice is up against individual reputations, not brands. Second, ratings near the centre average 4.5 to 4.7, so a newcomer will be judged against a high bar from the first review. Toronto's 42 openings in a year among the nearest practices also mean a site chosen there should be checked again a few months later, because the field is still filling in.

The checks that matter for each site

1. Draw the reach. Use a travel time, not a circle: a 10-minute drive in a suburb, a 10 to 15-minute walk in a dense centre. Travel area draws it along the roads, up to 15 minutes for now.
2. Count residents. Demographics gives residents in nine age groups inside that reach. Children and working-age adults are your core. Population figures exist only in some countries, among them France, Canada, India, Thailand, Egypt and Australia; not the United Kingdom or the United States.
3. Count dentists. Nearby places counts practices of the type Dentist or Dental clinic inside the same reach, with their ratings and number of reviews.
4. Divide. Residents per practice is the simplest measure of room. Compare it between your sites, never with a number from another city.
5. Look at access. Parking at the door, a bus or rail stop nearby, step-free entry. Traffic Flow shows how the roads next to the site move at the hours you will open late; it measures speed, not cars.

A worked example in Bangkok

A made-up case. A dentist leaving a group practice in Bangkok has two shophouse units to choose from. The figures below are invented, to show the reading.

Made-up figures, for illustration only.

Market has more people and more children, but nearly twice as many practices for each resident, and most of them are well rated. Riverside has fewer people, but each practice serves more of them, and almost half of its competitors are rated under 4.0: patients there have a reason to switch. With parking opposite, Riverside is the better start. The dentist's next step is to read the low-rated practices' reviews for what patients complain about, such as waiting times or evening hours, and build the practice to answer it.

Mistakes to avoid

• Counting every medical place as competition. A pharmacy or a general clinic is not a dental competitor. Count dentists and dental clinics only.
• Picking a busy street for walk-ins. Dental patients book. A quiet street with parking often beats a busy one without.
• Reading one rating. A 4.9 from 12 reviews and a 4.5 from 600 are not the same. Look at the number of reviews too.
• Comparing across countries. Where residents cannot be counted, compare sites on competition and access only, and never rank them alongside sites where people were counted.

Doing it with an AI employee

An AI employee can screen every unit your agent sends, so you only visit the good ones. The blocks, in order:

1. My data: the candidate units, with their addresses.
2. Travel area: a 10-minute drive (or walk) around each unit.
3. Demographics: residents and age groups in each reach, where the country has figures.
4. Nearby places: dentists in each reach, with counts and their average rating.
5. Calculated field: residents per practice, and the share of practices rated under 4.0.
6. xMap LLM: a score out of 100 for each unit and one line on why, from these figures only.
7. Email: the ranked units to you.

What arrives is a short ranked list with the figures beside each unit, ready for the bank or a partner. Once the practice is open, Rating scorecard for my clinics keeps an eye on how you and the practices around you are rated, and Competitor density around each site shows new practices that open nearby.