Living in Viktoria-Quartier, Berlin
Viktoria-Quartier is an area of Berlin with about 7,807 residents. Its CityPulse standard score is 94 out of 100 (excellent): better than 77% of Berlin residents, ranked 54 of 350 areas.
Strengths
- Public green space: public green space 2 min walk, large park 2 min walk
- Tree canopy: 25.1% tree canopy within 500 m
- Services on foot: food shop 3 min walk, pharmacy 7 min walk, doctor 5 min walk
- Playgrounds on foot: playground 4 min walk
- Protected cycle lanes: protected cycle lane 4 min walk
Who Viktoria-Quartier suits
| Profile | Score | Rank in the city |
|---|---|---|
| Student | 88 · excellent | 94 of 350 |
| Family | 93 · excellent | 49 of 350 |
| Over 65 | 91 · excellent | 79 of 350 |
| Working from home | 80 · excellent | 84 of 350 |
| Commuter | 83 · excellent | 57 of 350 |
Services on foot
Walking-network distance for the area's typical resident (median).
| Service | Typical distance | On foot |
|---|---|---|
| Food shop | 259 m | 3 min walk |
| Pharmacy | 560 m | 7 min walk |
| Doctor | 385 m | 5 min walk |
| Nursery school | 202 m | 3 min walk |
| Primary school | 547 m | 7 min walk |
| Bus, tram or water bus stop | 110 m | 1 min walk |
| Metro or train station | 707 m | 9 min walk |
| Public green space | 161 m | 2 min walk |
| Large park (≥ 10 ha) | 161 m | 2 min walk |
| Playground | 288 m | 4 min walk |
| Protected cycle lane | 282 m | 4 min walk |
Greenery, air and transport
- 25.1% tree canopy within 500 m (city median: 22.0%)
- 10.8 µg/m³ of PM2.5, 2024 annual mean
- 44 departures per hour between 7 and 9 am (city median: 31)
- Medium density
Streets and squares in Viktoria-Quartier
Achenbachpromenade · Am Lokdepot · Am Weinhang · Bayernring · Burgherrenstraße · Dudenstraße · Eberhard-Roters-Platz · Eylauer Straße · Höhndorfstraße · Katzbachstraße · Kreuzbergstraße · Methfesselstraße · Monumentenstraße · Mussehlstraße · Tivoliplatz
Nearby areas
Look up an address in Berlin All Berlin 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