Living in Drei-Höfe-Quartier, Tübingen
Drei-Höfe-Quartier is an area of Tübingen with about 2,099 residents. Its CityPulse standard score is 80 out of 100 (excellent): better than 56% of Tübingen residents, ranked 11 of 21 areas.
Strengths
- Tree canopy: 26.8% tree canopy within 500 m
- Services on foot: food shop 5 min walk, pharmacy 7 min walk, doctor 6 min walk
- Playgrounds on foot: playground 1 min walk
Weaknesses
- Public transport frequency: 10 departures per hour between 7 and 9 am from nearby stops
Who Drei-Höfe-Quartier suits
| Profile | Score | Rank in the city |
|---|---|---|
| Student | 72 · good | 9 of 21 |
| Family | 83 · excellent | 7 of 21 |
| Over 65 | 84 · excellent | 11 of 21 |
| Working from home | 70 · good | 11 of 21 |
| Commuter | 55 · fair | 7 of 21 |
Services on foot
Walking-network distance for the area's typical resident (median).
| Service | Typical distance | On foot |
|---|---|---|
| Food shop | 420 m | 5 min walk |
| Pharmacy | 561 m | 7 min walk |
| Doctor | 481 m | 6 min walk |
| Nursery school | 197 m | 2 min walk |
| Primary school | 564 m | 7 min walk |
| Bus, tram or water bus stop | 24 m | 1 min walk |
| Metro or train station | 1,417 m | 18 min walk |
| Public green space | 549 m | 7 min walk |
| Large park (≥ 10 ha) | 1,830 m | 23 min walk |
| Playground | 28 m | 1 min walk |
| Protected cycle lane | 557 m | 7 min walk |
Greenery, air and transport
- 26.8% tree canopy within 500 m (city median: 28.6%)
- 7.3 µg/m³ of PM2.5, 2024 annual mean
- 10 departures per hour between 7 and 9 am (city median: 8)
- Medium density
Streets and squares in Drei-Höfe-Quartier
Aixer Straße · Astrid-Lindgren-Weg · Breslauer Straße · Depotstraße · Eisenhutstraße · Galgenbergstraße · Hügelstraße · Janusz-Korczak-Weg · Kiesäckerstraße · Königsberger Straße · Lichtensteinstraße · Marienburger Straße · Mathildenstraße · Reutlinger Straße · Schweickhardtstraße · Stuttgarter Straße
Nearby areas
- Südstadt 83
- Österberg 78
- Wennfelder Garten 28
Look up an address in Tübingen All Tübingen 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 2026-11-05. Method and sources