You visit an Italian town in June and everything seems to work beautifully. The cafés are full, restaurants spill onto the pavement, the waterfront is busy well into the evening, and there always seems to be somewhere open for lunch, a drink or a late dinner. It is easy to imagine yourself living there, because the version of the town you are seeing feels both lively and effortless.
But if you are seriously thinking about moving there, there is another question worth asking: how much of that everyday life is actually built around the people who live there all year, and how much exists because thousands of visitors arrive for a few weeks or months?
That is not an argument against tourist towns. Some of the most appealing places in Italy depend on tourism, and visitors often support restaurants, transport, public spaces and cultural life that a small permanent population could never sustain on its own. The point is simply that the town you experience on holiday may not be the same town you experience in February.
A new set of ISTAT tourism data on Expat Living Italy gives us one way to see that difference more clearly.
What does “tourist beds per resident” actually tell us?
ISTAT records the number of registered tourist-accommodation beds in each comune: hotels, B&Bs, agriturismi, campsites, hostels and other registered accommodation. Expat Living Italy’s tourist beds per resident map compares that capacity with the permanent resident population.
The calculation is simple, but the result is interesting. If a town has 10,000 residents and 1,000 registered tourist beds, it has one tourist bed for every ten residents. If it has 10,000 residents and 10,000 tourist beds, the ratio is one to one. Once the ratio rises above one, the town has more registered places for visitors to sleep than people who permanently live there.
This does not mean every bed is occupied at once, and it certainly doesn’t tell us whether the town is a good or bad place to live. What it does tell us is how much of the physical and commercial infrastructure has been built around people passing through the place rather than people staying there.
The companion tourist accommodation bed capacity map is useful for seeing the raw scale, but the ratio is the more meaningful relocation measure because it puts that capacity in context. A city can have thousands of hotel beds and barely feel dominated by tourism; a small town can have fewer beds in absolute terms and still be mostly defined by visitors.
Here’s a good example: Limone sul Garda
Limone sul Garda, on the western shore of Lake Garda, is an easy place to understand. The historic center sits tightly against the lake, mountains rise behind it, ferries connect it with other towns, and in summer the whole place feels animated by people moving through it.
The numbers show just how deeply tourism is built into the town. Limone has around 1,100 permanent residents, while ISTAT records more than 7,400 registered tourist beds. That works out to roughly 6.7 tourist beds for every resident. You can see the underlying town data in the Limone sul Garda comune profile.
What makes Limone particularly interesting is that a separate ISTAT tourism-flow dataset tells a very similar story. In its busiest month, the average number of overnight visitors present each night was about 6.6 times the resident population. The two measures are constructed differently (one looks at installed accommodation capacity, the other at actual visitor flows) yet they arrive at almost the same picture.
This tells us the result is not a quirk of one dataset. Tourism is not simply something Limone experiences in summer; it is embedded in how the town functions.
Now compare that with Bari
Bari also receives a large number of visitors, and ISTAT records substantially more tourist beds there in absolute terms than in Limone. But Bari is a city of more than 300,000 residents. Its visitor accommodation therefore sits inside a much larger permanent economy, with universities, hospitals, offices, schools, public services and neighborhoods whose daily rhythms do not depend primarily on holidaymakers.
The Bari comune profile makes that difference easier to see. Looking only at hotel numbers or visitor counts can make two destinations appear similarly “touristy,” but dividing accommodation capacity by resident population changes the picture completely.
For someone considering a move, that ratio is useful because it gets closer to the question you actually care about: is tourism one part of this place, or is tourism the main reason the town is there?
So is a high ratio a warning sign?
Not necessarily, and I would resist turning this dataset into another league table of “best” and “worst” Italian towns. A high ratio can bring real advantages. Small towns with strong visitor economies may support far more restaurants, cafés, ferries, cultural events and beautifully maintained public spaces than their resident population alone could sustain. For a retiree, that can be an attractive combination: small-town scale without giving up every amenity associated with a larger place.
The trade-off is that some of those advantages can be seasonal. A restaurant that is impossible to book in August may close for several weeks in winter. A bus or ferry service designed around summer demand may become much less frequent. Shops may change their hours, and the center of town may become noticeably quieter once the visitors leave.
The data cannot tell you which of those things will matter to you. What it can do is tell you where you should investigate a bit further.
How should you look at capacity versus crowds?
There is another distinction worth keeping in mind. Tourist-bed capacity tells us what a town is built to accommodate; it does not tell us how full those beds are, or how concentrated demand is within the year.
Two towns could each have two tourist beds per resident and still feel completely different. One may attract visitors fairly steadily from March through November, while another may be overwhelmed for six weeks and quiet for the rest of the year.
That is where ISTAT’s monthly tourism-flow data can be helpful. It lets us compare installed capacity with the peak visitor multiplier: how many overnight visitors are actually present on an average night in the busiest month.
The flow dataset is not as complete as the capacity data because statistical-confidentiality rules suppress many smaller comuni. The capacity data, by contrast, covers essentially all of Italy’s comuni. So I would treat the beds-to-resident ratio as the broad screening tool and the visitor-flow data as an extra layer where it is available.
What happens in February?
For me, that is the more useful question than whether a place is “too touristy.”
If you find a town you love and its beds-to-resident ratio is unusually high, don’t automatically cross it off your list. Try going back outside the season in which you first discovered it. Visit the supermarket on an ordinary weekday. Check the bus or ferry timetable. Notice how many cafés remain open. Ask people who live there which restaurants close for winter and whether the services you would actually rely on operate year-round.
Also look ten or fifteen minutes beyond the famous center. In many parts of Italy, the spectacular visitor destination sits very close to a town with a stronger permanent population, more everyday services and lower housing pressure. For someone moving rather than holidaying, that neighboring town may give you access to everything you loved about the destination without requiring you to live inside its seasonal economy.
A beautiful town and a livable town can be the same place
One of the traps in relocation research is that we keep trying to turn useful information into verdicts. Cheaper becomes better. Warmer becomes better. Fewer tourists becomes better. But the right answer depends on the life you want.
Some people would genuinely love living in a place such as Limone sul Garda precisely because tourism gives a tiny town an extraordinary level of activity and amenity. Someone else might find the seasonal swings frustrating and prefer a place with a larger year-round population. Neither choice is more rational than the other.
The value of the data is that it lets you see the trade-off before you move. When you visit somewhere in Italy and think, “I could live here,” listen to that instinct, but follow it with one more question: am I falling in love with the town people live in all year, or the town visitors come to see? Sometimes those are the same place, and sometimes they aren’t. The data can’t make the decision for you, but it can help you see the difference before you make the move.
