How a cafe owner checks a street before opening a first cafe

A cafe owner checks a street by measuring what lies within a five-minute walk of the empty unit: how many cafes already serve that walk and how well they are rated, what brings people onto the pavement (offices, a station, a university, a gym, a market), and how busy the area is at the hours a cafe earns its money. Do it for the unit you love and for one or two alternatives nearby, with the same yardstick, before you sign the lease. Then keep watching the street, because a rival can open next door after you do.

This is for someone opening one cafe, or a second one, who has neither an expansion team nor a research budget. Chains run a version of this across hundreds of sites; here it is cut down to one street and a weekend's work.

Walk it, then measure it

Nothing replaces standing outside the unit at 8 in the morning and at 3 in the afternoon. But a walk shows you one day, and memory flatters the street you already like. Measuring gives you the same figures for every candidate, so the decision rests on what is there rather than how the light fell on viewing day. Start with a five-minute walk rather than a circle: a Travel area on foot follows the pavements, so a railway or a dual carriageway between you and a block of offices is not counted as if it were open ground.

What to count within a five-minute walk

A one-page checklist for a single cafe site.

Two cautions. Population figures exist in some countries only (France, Canada, Australia, India and Thailand among them, but not the United Kingdom or the United States). And Mobility Footfall measures people-hours of presence around a place, not the number of different visitors, and each day arrives about ten days later. Use it to compare streets and see the busiest hour, not to forecast how many cups you will sell.

Reading a city's cafe scene first

City figures put the street in context. xMap's places database lists 622 cafes within 10 km of the centre of Toronto (November 2026). Of the 312 nearest the centre, 47 belong to a chain and 265 are independent; 297 of those have a rating, 4.4 out of 5 on average, and 31 of the 309 with an opening date opened in the year before. A newcomer there opens among well-rated independents and a steady flow of other newcomers, so a good street needs a reason for people to choose you, not merely a gap.

A worked example: two streets in Lisbon

Say Ines is choosing between a unit on a busy shopping street and one on a quieter side street two blocks away. These figures are made up to show the method. Within a five-minute walk, the shopping street has eleven cafes, three of them chain branches rated around 4.0, plus a metro entrance and a cluster of shops. The side street has four cafes, all independent and rated above 4.6, plus two language schools, a coworking space and a gym. Footfall around the shopping street is higher all day; around the side street it peaks sharply from 8 to 10.

The shopping street offers more people and more competition, mostly from mediocre chains. The side street offers fewer people, strong independents, and a morning crowd of students and remote workers who stay. For a cafe built around good coffee and space to sit, the side street fits; for a grab-and-go format, the shopping street does. The figures do not choose for Ines. They make the choice explicit.

Two ways to do it in xMap Flows

For a quick answer, ask a question in plain words, such as how many cafes are within 1 km of an address. Ask the map answers on the spot with the count, chains, the average rating and a small map, showing its price first.

To compare candidates and keep watching, build a small AI employee:

1. My data: the addresses of the units you are considering.
2. Travel area: 5 minutes on foot around each unit.
3. Nearby places, counted: cafes; then a second one for offices, schools, gyms and stations.
4. Demographics and Mobility Footfall, where they cover the city.
5. xMap LLM, on the whole list: compare the units using only these figures.
6. Email the comparison to yourself.

After you sign, swap the start for a When something changes trigger around your unit: a new cafe opening within 500 m, or a neighbour's rating dropping below 4, arrives in your inbox the day the check finds it.

Mistakes first-time owners make

• Counting only cafes. Bakeries, juice bars and the coffee counter in a supermarket take the same morning money.
• Mistaking a full street for a busy one. Many shops can mean many shoppers, or many shops sharing too few.
• Checking once. A rival that opens in month three changes your year. Keep a watch on the street.
• Reading footfall as customers. People-hours include people working, waiting and living there. Compare streets with it; do not multiply it into sales.
• Signing before checking the second option. Measure at least one alternative the same way, or you have nothing to compare against.

Templates to start from: where to open my next cafe, how customers rate the cafes around me and watch new competitors. More on the restaurants and cafes page.