Living in Unner, Saarbrücken
Unner is an area of Saarbrücken with about 1,122 residents. Its CityPulse standard score is 16 out of 100 (poor): better than 1% of Saarbrücken residents, ranked 45 of 45 areas.
Strengths
- Tree canopy: 41.0% tree canopy within 500 m
- Playgrounds on foot: playground 5 min walk
Weaknesses
- Public green space: public green space 15 min walk, large park 33 min walk
- Services on foot: food shop 8 min walk, pharmacy 14 min walk, doctor 13 min walk
- Public transport frequency: 1 departures per hour between 7 and 9 am from nearby stops
- Protected cycle lanes: protected cycle lane 12 min walk
Who Unner suits
| Profile | Score | Rank in the city |
|---|---|---|
| Student | 8 · poor | 44 of 45 |
| Family | 22 · poor | 45 of 45 |
| Over 65 | 18 · poor | 45 of 45 |
| Working from home | 18 · poor | 45 of 45 |
| Commuter | 9 · poor | 45 of 45 |
Services on foot
Walking-network distance for the area's typical resident (median).
| Service | Typical distance | On foot |
|---|---|---|
| Food shop | 662 m | 8 min walk |
| Pharmacy | 1,151 m | 14 min walk |
| Doctor | 1,057 m | 13 min walk |
| Nursery school | 2,856 m | 36 min walk |
| Primary school | 3,142 m | 39 min walk |
| Bus, tram or water bus stop | 318 m | 4 min walk |
| Metro or train station | 1,009 m | 13 min walk |
| Public green space | 1,219 m | 15 min walk |
| Large park (≥ 10 ha) | 2,672 m | 33 min walk |
| Playground | 365 m | 5 min walk |
| Protected cycle lane | 941 m | 12 min walk |
Greenery, air and transport
- 41.0% tree canopy within 500 m (city median: 32.6%)
- 7.4 µg/m³ of PM2.5, 2024 annual mean
- 1 departures per hour between 7 and 9 am (city median: 8)
- Low density
Streets and squares in Unner
Am Sportplatz · Auf der Schönbach · Friedrich-Ebert-Straße · Grenzweg · Großblitterdorfer Straße · Großblittersdorfer Straße · Haydnstraße · Im Königsfeld · Mozartstraße · Rue de Sarrebruck · Schillerstraße · Schubertstraße · Simbachstraße · Unnerstraße
Nearby areas
Look up an address in Saarbrücken All Saarbrücken 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