Living in Wilhelmsaue, Berlin
Standard score
Green space, trees and services on foot; residents' median
Excellent91
Wilhelmsaue is an area of Berlin with about 3,585 residents. Its CityPulse standard score is 91 out of 100 (excellent): better than 68% of Berlin residents, ranked 91 of 350 areas.
Strengths
- Public green space: public green space 2 min walk, large park 4 min walk
- Tree canopy: 22.5% tree canopy within 500 m
- Services on foot: food shop 4 min walk, pharmacy 3 min walk, doctor 2 min walk
- Public transport frequency: 60 departures per hour between 7 and 9 am from nearby stops
- Playgrounds on foot: playground 4 min walk
- Protected cycle lanes: protected cycle lane 1 min walk
Who Wilhelmsaue suits
| Profile | Score | Rank in the city |
|---|---|---|
| Student | 98 · excellent | 6 of 350 |
| Family | 88 · excellent | 118 of 350 |
| Over 65 | 84 · excellent | 172 of 350 |
| Working from home | 43 · fair | 245 of 350 |
| Commuter | 89 · excellent | 11 of 350 |
Services on foot
Walking-network distance for the area's typical resident (median).
| Service | Typical distance | On foot |
|---|---|---|
| Food shop | 302 m | 4 min walk |
| Pharmacy | 258 m | 3 min walk |
| Doctor | 174 m | 2 min walk |
| Nursery school | 250 m | 3 min walk |
| Primary school | 528 m | 7 min walk |
| Bus, tram or water bus stop | 300 m | 4 min walk |
| Metro or train station | 665 m | 8 min walk |
| Public green space | 162 m | 2 min walk |
| Large park (≥ 10 ha) | 359 m | 4 min walk |
| Playground | 284 m | 4 min walk |
| Protected cycle lane | 61 m | 1 min walk |
Greenery, air and transport
- 22.5% tree canopy within 500 m (city median: 22.0%)
- 10.7 µg/m³ of PM2.5, 2024 annual mean
- 60 departures per hour between 7 and 9 am (city median: 31)
- High density
Streets and squares in Wilhelmsaue
Am Volkspark · Durlacher Straße · Gerdauer Straße · Hildegardstraße · Livländische Straße · Straße am Schoelerpark · Tübinger Straße · Volksparksteg · Weimarische Straße
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