Living in Brünnen, Bern
Brünnen is an area of Bern with about 3,813 residents. Its CityPulse standard score is 75 out of 100 (good): better than 12% of Bern residents, ranked 44 of 48 areas.
Strengths
- Services on foot: food shop 5 min walk, pharmacy 6 min walk, doctor 5 min walk
- Playgrounds on foot: playground 5 min walk
Weaknesses
- Public transport frequency: 20 departures per hour between 7 and 9 am from nearby stops
- Protected cycle lanes: protected cycle lane 18 min walk
Who Brünnen suits
| Profile | Score | Rank in the city |
|---|---|---|
| Student | 25 · poor | 47 of 48 |
| Family | 51 · fair | 47 of 48 |
| Over 65 | 82 · excellent | 37 of 48 |
| Working from home | 34 · poor | 47 of 48 |
| Commuter | 32 · poor | 44 of 48 |
Services on foot
Walking-network distance for the area's typical resident (median).
| Service | Typical distance | On foot |
|---|---|---|
| Food shop | 361 m | 5 min walk |
| Pharmacy | 511 m | 6 min walk |
| Doctor | 423 m | 5 min walk |
| Nursery school | 626 m | 8 min walk |
| Primary school | 340 m | 4 min walk |
| Bus, tram or water bus stop | 269 m | 3 min walk |
| Metro or train station | 588 m | 7 min walk |
| Public green space | 43 m | 1 min walk |
| Large park (≥ 10 ha) | 2,636 m | 33 min walk |
| Playground | 370 m | 5 min walk |
| Protected cycle lane | 1,405 m | 18 min walk |
Greenery, air and transport
- 19.6% tree canopy within 500 m (city median: 25.5%)
- 7.6 µg/m³ of PM2.5, 2024 annual mean
- 20 departures per hour between 7 and 9 am (city median: 30)
- Medium density
Streets and squares in Brünnen
Asylweg · Billeweg · Colombstrasse · Dorfplatz · Gigonweg · Gilberte-de-Courgenay-Platz · Gäbelbachstrasse · Gäbelbachweg · Le-Corbusier-Platz · Niederbottigenstrasse · Niederbottigenweg · Ramuzstrasse · Riedbachstrasse · Riedernstrasse · Rougemontweg · Tinguelyweg · Vallottonweg · Weiermattstrasse · Winterholzstrasse · Wintermattweg
Nearby areas
- Holenacker 87
- Ackerli 87
- Bümpliz 82
- Vordere Rehhag 82
- Oberbottigen 12
Look up an address in Bern All Bern 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 2026-11-06. Method and sources