What this metric actually means
When you look for postcodes with the "largest households," you might expect to find sprawling, family-heavy suburbs or booming cities. But that isn't how averages work.
The top spots on this list don't belong to Zurich or Lausanne. They belong to tiny, often remote communities where a handful of large families completely skew the math. In our dataset, 6684 Campo Vallemaggia leads the country with an average household size of 2.2. Right behind it are 6685 Bosco/Gurin at 2.14 and 3996 Binn at 2.13.
These numbers are real, but their foundation is fragile. Campo Vallemaggia has exactly 15 households. Bosco/Gurin has 22. Binn has 70. This makes the ranking both fascinating and tricky: it highlights genuine statistical anomalies, but small populations always produce wilder extremes than large ones.
The signals you need to read together
If you look at demographics.avgHouseholdSize in isolation, you are basically reading trivia. To understand a postcode, you have to read that average alongside householdCount and population.
Family_by_Edwina_Sandys.JPG.A high average doesn't automatically mean a town is a haven for young families. It could indicate a farming community with multi-generational homes, an area with large shared flats, or just a statistical quirk in a village of fifty people.
Finding reliable comparisons
If you want a more robust picture of household density, compare these outliers to major hubs. For instance, 8001 Zurich, 6300 Zug, and 1003 Lausanne all sit around 2.1 in this dataset. That might sound boring compared to Campo Vallemaggia's 2.2, but a 2.1 average spread across tens of thousands of households tells you much more about a city's actual living patterns than a minor spike in an alpine village.
The limits of the data
Treat this ranking as a starting point. It tells you where households are statistically larger, but it cannot tell you why. As soon as your curiosity turns into a real decision about where to live, you need to step away from the isolated ranking. Dive into the individual postcode pages, look at the local tax profiles, check the commuting times, and consult official cantonal data. PLZHub is built to help you filter your options, not make the final call for you.
