Living in Weissbad, Schwende-Rüte
Weissbad is an area of Schwende-Rüte with about 721 residents. Its CityPulse standard score is 29 out of 100 (poor): better than 72% of Schwende-Rüte residents, ranked 1 of 4 areas.
Strengths
- Playgrounds on foot: playground 6 min walk
Weaknesses
- Public green space: public green space 12 min walk, large park not within walking distance
- Tree canopy: 10.9% tree canopy within 500 m
- Services on foot: food shop 23 min walk, pharmacy 43 min walk, doctor 4 min walk
- Public transport frequency: 4 departures per hour between 7 and 9 am from nearby stops
Who Weissbad suits
| Profile | Score | Rank in the city |
|---|---|---|
| Student | 20 · poor | 1 of 4 |
| Family | 38 · poor | 1 of 4 |
| Over 65 | 31 · poor | 2 of 4 |
| Working from home | 36 · poor | 1 of 4 |
| Commuter | 26 · poor | 1 of 4 |
Services on foot
Walking-network distance for the area's typical resident (median).
| Service | Typical distance | On foot |
|---|---|---|
| Food shop | 1,831 m | 23 min walk |
| Pharmacy | 3,465 m | 43 min walk |
| Doctor | 335 m | 4 min walk |
| Nursery school | 3,156 m | 39 min walk |
| Primary school | 1,388 m | 17 min walk |
| Bus, tram or water bus stop | 379 m | 5 min walk |
| Metro or train station | 522 m | 7 min walk |
| Public green space | 983 m | 12 min walk |
| Large park (≥ 10 ha) | – | not within walking distance |
| Playground | 482 m | 6 min walk |
| Protected cycle lane | 530 m | 7 min walk |
Greenery, air and transport
- 10.9% tree canopy within 500 m (city median: 3.9%)
- 6.5 µg/m³ of PM2.5, 2024 annual mean
- 4 departures per hour between 7 and 9 am (city median: 3)
- Low density
Streets and squares in Weissbad
Aulenstrasse · Befigstrasse · Brülisauerstrasse · Gächtenstrasse · Haslerstegstrasse · Im Park · Klosterspitzstrasse · Nanisaustrasse · Ochseneggstrasse · Parkstrasse · Schwarzeneggstrasse · Sonnenhalbstrasse · Steig · Triebernstrasse · Tüllenstrasse
Nearby areas
- Steinegg 23
- Eggerstanden 12
- Schwende 9
Look up an address in Schwende-Rüte All Schwende-Rüte 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