Living in Am Spionskopf, Magdeburg
Am Spionskopf is an area of Magdeburg with about 1,272 residents. Its CityPulse standard score is 45 out of 100 (fair): better than 7% of Magdeburg residents, ranked 46 of 54 areas.
Strengths
- Protected cycle lanes: protected cycle lane 6 min walk
Weaknesses
- Tree canopy: 7.6% tree canopy within 500 m
- Public transport frequency: 6 departures per hour between 7 and 9 am from nearby stops
- Playgrounds on foot: playground 12 min walk
Who Am Spionskopf suits
| Profile | Score | Rank in the city |
|---|---|---|
| Student | 58 · fair | 42 of 54 |
| Family | 28 · poor | 52 of 54 |
| Over 65 | 56 · fair | 45 of 54 |
| Working from home | 49 · fair | 46 of 54 |
| Commuter | 40 · fair | 38 of 54 |
Services on foot
Walking-network distance for the area's typical resident (median).
| Service | Typical distance | On foot |
|---|---|---|
| Food shop | 895 m | 11 min walk |
| Pharmacy | 824 m | 10 min walk |
| Doctor | 884 m | 11 min walk |
| Nursery school | 2,042 m | 26 min walk |
| Primary school | 1,208 m | 15 min walk |
| Bus, tram or water bus stop | 700 m | 9 min walk |
| Metro or train station | 1,016 m | 13 min walk |
| Public green space | 726 m | 9 min walk |
| Large park (≥ 10 ha) | 1,404 m | 18 min walk |
| Playground | 981 m | 12 min walk |
| Protected cycle lane | 449 m | 6 min walk |
Greenery, air and transport
- 7.6% tree canopy within 500 m (city median: 18.1%)
- 8.6 µg/m³ of PM2.5, 2024 annual mean
- 6 departures per hour between 7 and 9 am (city median: 12)
- Medium density
Streets and squares in Am Spionskopf
Am Spionskopf · Arnstädter Straße · Blumenberger Straße · Feengrottenweg · Friedhofstraße · Geraer Straße · Gothaer Straße · Hohestieg · Im Sauerfeld · Jenaer Straße · Koburger Straße · Oberhofer Straße · Quenstedter Straße · Saalfelder Straße · Sandgrubenweg · Suhler Straße · Weimarer Straße · Welsleber Straße
Nearby areas
- Salbke 73
- Westerhüsen 62
- Lüttgen-Salbke 46
- Sohlener Berge 31
Look up an address in Magdeburg All Magdeburg 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