Living in Schönbühl, Lucerne
Schönbühl is an area of Lucerne with about 4,459 residents. Its CityPulse standard score is 89 out of 100 (excellent): better than 74% of Lucerne residents, ranked 8 of 25 areas.
Strengths
- Public green space: public green space 3 min walk, large park 6 min walk
- Tree canopy: 36.1% tree canopy within 500 m
- Services on foot: food shop 7 min walk, pharmacy 5 min walk, doctor 5 min walk
- Playgrounds on foot: playground 2 min walk
Weaknesses
- Protected cycle lanes: protected cycle lane 14 min walk
Who Schönbühl suits
| Profile | Score | Rank in the city |
|---|---|---|
| Student | 28 · poor | 22 of 25 |
| Family | 60 · good | 19 of 25 |
| Over 65 | 92 · excellent | 6 of 25 |
| Working from home | 41 · fair | 20 of 25 |
| Commuter | 37 · poor | 23 of 25 |
Services on foot
Walking-network distance for the area's typical resident (median).
| Service | Typical distance | On foot |
|---|---|---|
| Food shop | 585 m | 7 min walk |
| Pharmacy | 418 m | 5 min walk |
| Doctor | 361 m | 5 min walk |
| Nursery school | 571 m | 7 min walk |
| Primary school | 852 m | 11 min walk |
| Bus, tram or water bus stop | 218 m | 3 min walk |
| Metro or train station | 2,347 m | 29 min walk |
| Public green space | 256 m | 3 min walk |
| Large park (≥ 10 ha) | 452 m | 6 min walk |
| Playground | 184 m | 2 min walk |
| Protected cycle lane | 1,158 m | 14 min walk |
Greenery, air and transport
- 36.1% tree canopy within 500 m (city median: 25.4%)
- 7.9 µg/m³ of PM2.5, 2024 annual mean
- 24 departures per hour between 7 and 9 am (city median: 24)
- Medium density
Streets and squares in Schönbühl
Blätzigenweg · Felsenweg · Haselweg · Hirtenhofstrasse · Hirtenhofweg · Imfangring · Imfangstrasse · Langensandstrasse · Matthofring · Matthofstrasse · Primelweg · Schönbühlring · Schönbühlweg · Studhaldenstrasse · Stutzstrasse · Vorderrainstrasse · Zumbachweg
Nearby areas
- Weinbergli 93
- Tribschenmoos 92
- Büttenen 37
Look up an address in Lucerne All Lucerne areas
Areas are named after OpenStreetMap neighbourhoods and have approximate boundaries: each hexagon goes to the nearest name. Values are residents' medians. Data updated on 2026-11-07. Method and sources