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Household fit

Singles or families: Which postcode structure fits everyday life better?

The short version: lower average household sizes usually fit singles and couples better, while slightly higher averages lean toward families. The spread in this dataset is narrow, so you need to look at household count and local context to get a real sense of a place.
Updated:
14 July 2026
Read time:
3 min
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City beside Lake Lugano in Switzerland

What the numbers mean

The clearest small-household examples are 7450 Tiefencastel, 5465 Mellikon, 1324 Premier, 1512 Chavannes-sur-Moudon, and 7241 Conters im Prättigau. They all sit at 2.09 people per household, with household counts between 102 and 117. That’s a real signal, but it points more toward compact rural villages than any single "best" postcode for singles.

Lower average household sizes tend to fit singles and couples better. Slightly higher averages lean toward families. Because the spread in this dataset is so narrow, the total householdCount matters just as much as the average. You can't draw sweeping conclusions from fifty homes.

Map of Switzerland
Image: Switzerland-map.png, via Wikimedia Commons.

The low end in the dataset bottoms out around 2.09 people per household. Places like Tiefencastel and Mellikon sit there. They are generally compact, rural, or peripheral. Their structure points toward singles, couples, or small shared households rather than big family clusters.

Where families show up

The higher end moves to 2.11 people per household and above. 1653 Châtel-sur-Montsalvens, 4442 Diepflingen, 4955 Gondiswil, 4116 Metzerlen, and 1464 Chavannes-le-Chêne fall into this group. Diepflingen is a useful example because it combines a family-leaning average with 400 households, making the pattern much more believable than a tiny village with only a dozen homes.

Swiss Federal Palace in Bern
Image: Swiss_Federal_Palace_from_South.jpg, via Wikimedia Commons.

Obviously, not every place on the higher end is a perfect family location. It just means the structure is more family-shaped. You still have to check the housing stock, commute, schools, and daily logistics.

Taxes don't always match the vibe

The variables single_80k and family_150k work as a second filter. They show whether the local structure lines up with the tax bill. 4442 Diepflingen is both family-leaning and comparatively cheap at 8.1% for singles and 11.0% for families. 4955 Gondiswil looks family-shaped too, but taxes are much heavier at 11.4% and 15.7%.

Think of this comparison as a shortlist, not a final verdict. A postcode can be structurally compact and totally impractical for your life. Another can look incredibly family-friendly on paper but fail on rent or the morning commute. The household signal only helps if it narrows your search down to the right kind of environment.

The bottom line

Look at the 2.09 group if you want a hint toward smaller-household environments. Check the 2.11 group if you want a place that leans toward families. Then go verify the details that matter before you sign a lease. The goal isn't to find an abstract "single" or "family" label. It's to figure out whether the postcode matches how you live.

Household-structure comparison set

Horizontal scroll to compare values

SignalPLZLocalityCantonAvg household sizeHouseholdssingle 80kfamily 150k
Smaller-household tilt7450TiefencastelGR2.091029.6%13.1%
Smaller-household tilt5465MellikonAG2.0910710.0%13.7%
Smaller-household tilt1324PremierVD2.0910910.9%15.1%
Smaller-household tilt1512Chavannes-sur-MoudonVD2.0911011.0%15.1%
Smaller-household tilt7241Conters im PrättigauGR2.0911710.1%13.9%
Larger-household tilt1653Châtel-sur-MontsalvensFR2.114198.6%11.8%
Larger-household tilt4442DiepflingenBL2.114008.1%11.0%
Larger-household tilt4955GondiswilBE2.1135211.4%15.7%
Larger-household tilt4116MetzerlenSO2.1123810.0%13.8%
Larger-household tilt1464Chavannes-le-ChêneVD2.1123611.1%15.4%

How to read the comparison

  • Compare `avgHouseholdSize` with `householdCount`, not in isolation.
  • Treat very small places as hints first, not final verdicts.
  • Use `single_80k` and `family_150k` to see whether the tax picture matches the structure.
  • Check rent, commute, schools, and housing stock before you decide.
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