Medical clinics in Toronto, London and Sydney: a reading for a clinic group

Near the centres of Toronto, London and Sydney, medical clinics are overwhelmingly single-site, and no private group holds more than a handful. xMap's places database lists 1,377 clinics within 10 km of the centre of London, 329 in Toronto and 297 in Sydney (November 2026). For a clinic group, the more telling figures are elsewhere: barely half of London's and Sydney's clinics carry a rating, the chain field mixes private groups with public hospitals, and Toronto shows far more recent openings than the other two.

This piece is for operators of multi-site clinics, and for the people who advise or fund them, who want a first read of a city before commissioning a proper study. It goes question by question, then shows how to keep the picture up to date.

Questions a clinic group asks, answered from the figures

xMap's places database, medical clinics within 10 km of each city centre, November 2026. Toronto's and Sydney's figures cover every clinic in the circle; London's chains, ratings and openings are worked out from the 463 nearest the centre.

Three things that make clinic figures tricky

The chain field is not a list of competitors

In most trades a chain is a commercial brand. In healthcare, a name that appears on several listings may be a hospital with satellite sites or a public health service. Sydney's top names include South Eastern Sydney Local Health District and Northern Sydney Local Health District; Toronto's include a teaching hospital. A private group studying rivals should separate these by hand before counting anyone as competition.

Many clinics carry no rating

About 70% of Toronto's clinics have a rating, against roughly 55% in London and Sydney. A clinic without reviews is not necessarily a poor one; many patients do not review medical care at all. But it means a city's average describes only part of the market, and comparing a clinic's 4.2 with that average is weaker evidence than it looks.

Population data exists for two of the three cities

The most useful question for a clinic group is how many people each clinic serves, district by district. xMap's Demographics block has residents for Canada and Australia, so Toronto and Sydney can be read this way. It has no population figures for the United Kingdom, so for London the supply side is all you get from this data. A related article, population data for clinic and pharmacy planning, covers that method in detail.

A made-up example: testing a move into Sydney

Imagine, purely for illustration, a group that runs six family clinics and is considering central Sydney. The city read tells it that there is no dominant private rival near the centre, that patients there rate clinics about as well as in Toronto, and that almost nothing new has opened recently. That combination suggests a settled market, not a crowded one, which is encouraging but not proof of demand.

So the group draws four districts it would consider, counts clinics in each and adds residents for each district with Demographics. In this invented case, one district has twice the residents per clinic of the other three. That district goes to the top of the site search, and the group checks every clinic in it by hand, because a count cannot see opening hours, specialities or whether a clinic is taking new patients.

Mistakes to avoid

• Counting public hospitals and health districts as private competitors.
• Quoting a city's average rating as if it covered every clinic, when nearly half have none.
• Reading Toronto's 37 openings as a boom before checking a sample.
• Using London's 1,377 as a gauge of access without residents to set against it.

Keeping the reading current with an AI employee

A clinic group can have an AI employee in xMap Flows repeat this reading each month for the districts it cares about:

1. Schedule: the first of each month.
2. Area of interest: the districts under consideration, drawn on the map.
3. Nearby places: Medical clinic and any related types, with chain flag, rating, reviews and opening date.
4. Demographics: residents in each district, in countries where xMap has population figures.
5. Calculated field: residents per clinic for each district.
6. xMap LLM on the whole list: a short note per district, separating hospitals and public services from private groups.
7. Make a report: the PDF for the board.

The report arrives each month in the same shape. Once clinics are open, When something changes can tell you when a new clinic opens nearby. The template Rating scorecard for my clinics sets your own clinics against their neighbours, and Weekly healthcare market brief collects what changed across your markets.