Living in Unterer Schlossberg, Tübingen
Standard score
Green space, trees and services on foot; residents' median
Good68
Unterer Schlossberg is an area of Tübingen with about 1,314 residents. Its CityPulse standard score is 68 out of 100 (good): better than 27% of Tübingen residents, ranked 16 of 21 areas.
Strengths
- Public green space: public green space 6 min walk, large park 6 min walk
- Tree canopy: 49.5% tree canopy within 500 m
- Playgrounds on foot: playground 5 min walk
- Protected cycle lanes: protected cycle lane 4 min walk
Weaknesses
- Public transport frequency: 0 departures per hour between 7 and 9 am from nearby stops
Who Unterer Schlossberg suits
| Profile | Score | Rank in the city |
|---|---|---|
| Student | 49 · fair | 15 of 21 |
| Family | 72 · good | 11 of 21 |
| Over 65 | 69 · good | 16 of 21 |
| Working from home | 78 · good | 5 of 21 |
| Commuter | 22 · poor | 19 of 21 |
Services on foot
Walking-network distance for the area's typical resident (median).
| Service | Typical distance | On foot |
|---|---|---|
| Food shop | 883 m | 11 min walk |
| Pharmacy | 1,478 m | 18 min walk |
| Doctor | 1,307 m | 16 min walk |
| Nursery school | 954 m | 12 min walk |
| Primary school | 1,491 m | 19 min walk |
| Bus, tram or water bus stop | 91 m | 1 min walk |
| Metro or train station | 1,619 m | 20 min walk |
| Public green space | 484 m | 6 min walk |
| Large park (≥ 10 ha) | 484 m | 6 min walk |
| Playground | 420 m | 5 min walk |
| Protected cycle lane | 359 m | 4 min walk |
Greenery, air and transport
- 49.5% tree canopy within 500 m (city median: 28.6%)
- 7.1 µg/m³ of PM2.5, 2024 annual mean
- 0 departures per hour between 7 and 9 am (city median: 8)
- Medium density
Streets and squares in Unterer Schlossberg
Am Freibad · Barfußpfad · Burgholzweg · Europastraße · Hennentalweg · Hirschauer Straße · Lichtenberger Weg · Montfortweg · Pfalzhaldenweg · Tiefenbachweg
Nearby areas
- Schlossberg 86
- Feuerhägle 85
- Weststadt 60
- Derendingen 48
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