Entering a new city: a step-by-step market read before you commit
Before you open, hire or spend in a new city, read its market in order: how many rivals, who they are, how they are rated, where they are fewest and who lives there.
To read a new city's market, work through it in order: count the businesses of your kind, split the chains from the independents, see how they are rated, see how many opened lately, find the parts of the city where they are fewest, add who lives there where the data exists, then look at rents and growth signals. Each step answers a question the next step needs, and together they tell you whether to enter, where, and against whom.
This is for expansion managers, consultants and owners weighing a second or tenth city. It is not a feasibility study; it is the first read that decides whether a full study is worth paying for. The steps below can be done by hand with a map and a spreadsheet, or by one AI employee in a few minutes.
The seven steps
- Count. How many businesses of your kind are within a sensible distance of the centre?
- Split chains from independents. Which brands dominate, and how big are they?
- Read the ratings. Is the market full of well-loved places, or tired ones?
- Count the newcomers. How many opened in the last year?
- Find the gaps. In which parts of the city are they fewest, and why?
- Add the people. How many residents, of which ages, live around each part?
- Check costs and momentum. What does space cost, and who is hiring?
Steps one to four: the shape of the market
Counting comes first because every other figure is read against it. A count on its own says little, though, which is why the next three steps matter. Here are pharmacies in three cities, all counted the same way:
| Within 10 km of the centre | Toronto | London | Sydney |
|---|---|---|---|
| Pharmacies listed | 519 | 866 | 346 |
| Counted for the rows below | 438 nearest | 438 nearest | all 346 |
| Belong to a chain | 119 (27%) | 91 (21%) | 132 (38%) |
| Average rating | 4.3 | 3.9 | 4.1 |
| Opened in the last year | 14 | 5 | 6 |
| Biggest chain | Shoppers Drug Mart (57) | Boots (38) | Chemist Warehouse (42) |
xMap's places database, November 2026. Where a city lists more than the search brought back, the mix, ratings and openings are worked out from the pharmacies nearest the centre. Openings are among the pharmacies with an opening date.
London lists the most pharmacies, 866 against 519 in Toronto and 346 in Sydney, but the count is only the start. Sydney's figures cover every pharmacy in its circle, and more than a third belong to a chain, so a newcomer there faces large networks with buying power. In Toronto and London the mix is read from the 438 pharmacies nearest each centre: about a quarter are chain branches in Toronto and a fifth in London. London's average rating is the lowest of the three, which may mean that service is a way to stand out, or simply that its customers rate harder; a rating is a clue to check, not a conclusion. Toronto shows the most openings, a sign that the market is still taking new entrants. The full pages are pharmacies in Toronto, pharmacies in London and pharmacies in Sydney.
For a city you are considering that has no market page yet, the Nearby places block gives the same facts for any type of place in any city: each place with its brand, chain flag, rating, number of reviews and, when known, its opening date.
Step five: gaps, and the gaps that are not gaps
Cutting the circle around the centre into nine equal parts and counting each part shows where a kind of business is thin. A market page does this only when it holds every place in its circle, so Sydney's pharmacy page does and the Toronto and London pages do not. Sydney's names the north-east and the south-east as the thinnest parts, with 5 and 9 pharmacies. Read that on a map before you get excited: both parts reach out over the harbour and the Pacific coast, so much of them is water. Water, airports, rail yards, parks and industrial land all show up as gaps, and none of them is an opportunity.
A real gap has people and no supply. That is why step six exists.
Step six: who lives there
The Demographics block counts residents in small hexagons, by sex and nine age groups, around any point or across a whole area. Put it after the gaps and you can say whether a thin part of the city is a crowded neighbourhood or a handful of houses. Population data exists in some countries and not others: Canada, Australia, France, India, Thailand and Egypt among those that have it, the United Kingdom and the United States among those that do not. In the countries without it, use places as a stand-in for demand: offices, schools, supermarkets and transit stops show where people spend their days.
Step seven: costs and momentum
Two last questions shape the decision. What does space cost? In the United States and Japan, the Property listings datasets in Regional data sources give the asking rents and prices of units for rent or sale near any point; elsewhere you will need a local agent. Is the city growing in your sector? Job postings shows who is hiring and for what, which is a fair proxy for momentum. Both are covered in more depth in property listings and owner records in a site search.
Doing the read with an AI employee
For a quick answer about one place, Ask the map in the Ask xMap panel takes a question such as how many gyms are within 2 km of a point and shows the count, the chains, the ratings and a small map, with the price shown first. For a read you want repeated every month across several candidate cities, build a flow:
- An Area of interest with the candidate cities.
- Nearby places for your type of business in each city.
- Demographics for the people in each city, where the country has the data.
- xMap LLM on the whole list, asked to compare the cities on the figures it was given and to say which it would visit first and why.
- Make a report, so the read arrives as a PDF the expansion committee can open.
Run it monthly and you see each city move: a rival's new branches, a cluster of openings in one district, ratings drifting. The decision stops resting on a single snapshot.
Mistakes in a first read
- Reading the count alone. Four hundred independents and four hundred chain branches are different markets.
- Trusting empty map parts. Check every gap against a map for water and land you cannot build on.
- Comparing cities with different circles. Use the same distance from the centre in every city, or the counts mean nothing.
- Treating ratings as quality. Customers in some cities rate harder than in others; compare within a city first.
- Stopping at the read. A first read tells you where to look. Walk the streets before signing anything.
Questions
How big an area should I count when reading a city?
Use one fixed distance from the centre for every city you compare, such as 10 km, so the counts are comparable. Then look closer at the parts that matter.
Why does a part of the city show no businesses at all?
Often because it is water, a park, an airport or industrial land. Check every empty part on a map before treating it as a gap.
Can I see who lives in each part of the city?
In countries where xMap has population data, such as Canada, Australia, France and India, yes. In the United Kingdom and the United States the Demographics block has no figures.
How often should a market read be repeated?
Monthly is a good rhythm while you are deciding. It shows whether openings, closures and ratings are moving, not just where they stand.
Templates that do this
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