Living in Tiefwerder, Berlin
Standard score
Green space, trees and services on foot; residents' median
Excellent85
Tiefwerder is an area of Berlin with about 4,278 residents. Its CityPulse standard score is 85 out of 100 (excellent): better than 50% of Berlin residents, ranked 181 of 350 areas.
Strengths
- Public green space: public green space 4 min walk, large park 15 min walk
- Tree canopy: 39.5% tree canopy within 500 m
- Playgrounds on foot: playground 5 min walk
- Protected cycle lanes: protected cycle lane 5 min walk
Weaknesses
- Public transport frequency: 0 departures per hour between 7 and 9 am from nearby stops
Who Tiefwerder suits
| Profile | Score | Rank in the city |
|---|---|---|
| Student | 70 · good | 296 of 350 |
| Family | 86 · excellent | 157 of 350 |
| Over 65 | 83 · excellent | 179 of 350 |
| Working from home | 72 · good | 150 of 350 |
| Commuter | 28 · poor | 338 of 350 |
Services on foot
Walking-network distance for the area's typical resident (median).
| Service | Typical distance | On foot |
|---|---|---|
| Food shop | 771 m | 10 min walk |
| Pharmacy | 1,688 m | 21 min walk |
| Doctor | 1,435 m | 18 min walk |
| Nursery school | 773 m | 10 min walk |
| Primary school | 1,005 m | 13 min walk |
| Bus, tram or water bus stop | 421 m | 5 min walk |
| Metro or train station | 1,461 m | 18 min walk |
| Public green space | 298 m | 4 min walk |
| Large park (≥ 10 ha) | 1,192 m | 15 min walk |
| Playground | 374 m | 5 min walk |
| Protected cycle lane | 399 m | 5 min walk |
Greenery, air and transport
- 39.5% tree canopy within 500 m (city median: 22.0%)
- 10.2 µg/m³ of PM2.5, 2024 annual mean
- 0 departures per hour between 7 and 9 am (city median: 31)
- Medium density
Streets and squares in Tiefwerder
Am Hain · Betckestraße · Brandensteinweg · Charlottenburger Chaussee · Elsgrabenweg · Götelstraße · Klärwerkstraße · Ruhlebener Straße · Seufzerbrücke · Stichstraße · Tiefwerderbrücke · Tiefwerderweg
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