By VivaMap · find the best place to live in Switzerland, from canton to exact address · Last updated 14 September 2026

The Lugano metropolitan area is particularly well-suited for the Retirement profile. Our analysis covers 51 communes in the Lugano area.
With an average score of 6.5/10, the area is on par with the national average (6.1/10). Individual scores range from 4.7 to 7.8/10, offering a real span of options. A standard deviation of 0.7 signals relative homogeneity for this profile.
Excellent average of 8.4/10. Miglieglia leads the ranking (9.8/10), while Massagno comes last (4.7/10).
Excellent average of 7.6/10. Massagno leads the ranking (10/10), while Monteceneri comes last (5/10).
Excellent average of 8.3/10. Aranno leads the ranking (10/10), while Grancia comes last (0/10).
Relative to the Swiss average, the Lugano area stands out on Taxation (6.1/10, well above the national average of 3.5/10, deviation +2.6) and shows weakness on Air Quality (4.2/10, well below the national average of 6.3/10, deviation -2.2).
Top-ranked communes limit the compromise on Air Quality without sacrificing higher-priority profile criteria. Each criterion's scores are independently normalised at national scale; direct comparison between different criteria should be interpreted with caution.
For retirees, proximity to care — GP, pharmacy, reference hospital — becomes central, as does walking access to shops and administrative services. A high score on Healthcare, Noise, and Public transport (even without commuting) preserves autonomy over time. Taxation also weighs heavily at retirement, when income drops. Avoid very steep communes if mobility declines: proximity is not enough without a reasonable gradient. A mid-sized commune (3,000–10,000 residents) often strikes the best balance between calm and services.
The profile overall score combines the 9 VivaMap criteria weighted by the profile's declared priorities. Each criterion score is normalised on a national 0-10 scale to keep agglomerations comparable. Visit the criteria pages to learn how each dimension is measured.
Data: FSO, geo.admin.ch, OSM — Scores normalised 0-10