Living in Seetor, Nuremberg
Seetor is an area of Nuremberg with about 2,060 residents. Its CityPulse standard score is 79 out of 100 (good): better than 55% of Nuremberg residents, ranked 38 of 86 areas.
Strengths
- Public green space: public green space 2 min walk, large park 4 min walk
- Services on foot: food shop 5 min walk, pharmacy 16 min walk, doctor 4 min walk
- Playgrounds on foot: playground 4 min walk
- Protected cycle lanes: protected cycle lane 1 min walk
Who Seetor suits
| Profile | Score | Rank in the city |
|---|---|---|
| Student | 78 · good | 41 of 86 |
| Family | 87 · excellent | 21 of 86 |
| Over 65 | 83 · excellent | 32 of 86 |
| Working from home | 77 · good | 24 of 86 |
| Commuter | 81 · excellent | 4 of 86 |
Services on foot
Walking-network distance for the area's typical resident (median).
| Service | Typical distance | On foot |
|---|---|---|
| Food shop | 396 m | 5 min walk |
| Pharmacy | 1,240 m | 16 min walk |
| Doctor | 346 m | 4 min walk |
| Nursery school | 575 m | 7 min walk |
| Primary school | 1,354 m | 17 min walk |
| Bus, tram or water bus stop | 311 m | 4 min walk |
| Metro or train station | 530 m | 7 min walk |
| Public green space | 140 m | 2 min walk |
| Large park (≥ 10 ha) | 331 m | 4 min walk |
| Playground | 300 m | 4 min walk |
| Protected cycle lane | 108 m | 1 min walk |
Greenery, air and transport
- 21.0% tree canopy within 500 m (city median: 18.4%)
- 8.1 µg/m³ of PM2.5, 2024 annual mean
- 37 departures per hour between 7 and 9 am (city median: 18)
- Medium density
Streets and squares in Seetor
Altdorfer Straße · Apinusstraße · Breitengraserstraße · Cheruskerstraße · Erhardstraße · Gleißhammerstraße · Haimendorfer Straße · Kiefhaberstraße · Leinburger Straße · Ostendstraße · Schönberger Straße · Speckhartstraße · Wagenseilstraße · Waldmünchener Straße · Winklarner Straße · Wurfbeinstraße
Nearby areas
- Sankt Jobst 99
- Zerzabelshof 91
- Mögeldorf 90
- Veilhof 89
- Tullnau 77
Look up an address in Nuremberg All Nuremberg 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