Living in Marßel, Bremen
Standard score
Green space, trees and services on foot; residents' median
Excellent83
Marßel is an area of Bremen with about 2,430 residents. Its CityPulse standard score is 83 out of 100 (excellent): better than 37% of Bremen residents, ranked 63 of 98 areas.
Strengths
- Public green space: public green space 1 min walk, large park 2 min walk
- Tree canopy: 36.4% tree canopy within 500 m
- Playgrounds on foot: playground 5 min walk
- Protected cycle lanes: protected cycle lane 3 min walk
Weaknesses
- Public transport frequency: 0 departures per hour between 7 and 9 am from nearby stops
Who Marßel suits
| Profile | Score | Rank in the city |
|---|---|---|
| Student | 70 · good | 88 of 98 |
| Family | 88 · excellent | 52 of 98 |
| Over 65 | 82 · excellent | 74 of 98 |
| Working from home | 78 · good | 60 of 98 |
| Commuter | 28 · poor | 91 of 98 |
Services on foot
Walking-network distance for the area's typical resident (median).
| Service | Typical distance | On foot |
|---|---|---|
| Food shop | 809 m | 10 min walk |
| Pharmacy | 1,138 m | 14 min walk |
| Doctor | 2,020 m | 25 min walk |
| Nursery school | 496 m | 6 min walk |
| Primary school | 1,031 m | 13 min walk |
| Bus, tram or water bus stop | 592 m | 7 min walk |
| Metro or train station | 2,595 m | 32 min walk |
| Public green space | 101 m | 1 min walk |
| Large park (≥ 10 ha) | 161 m | 2 min walk |
| Playground | 412 m | 5 min walk |
| Protected cycle lane | 259 m | 3 min walk |
Greenery, air and transport
- 36.4% tree canopy within 500 m (city median: 26.7%)
- 9.1 µg/m³ of PM2.5, 2024 annual mean
- 0 departures per hour between 7 and 9 am (city median: 14)
- Medium density
Streets and squares in Marßel
Drontheimer Straße · Espoostraße · Hammerfester Straße · Helsinkistraße · Johannes-Pellens-Weg · Kiepelbergplatz · Lahtistraße · Olof-Palme-Straße · Osloer Straße · Pellensstraße · Stavangerstraße
Nearby areas
- Burg-Grambke 94
- Marßeler Feld 94
- Burgdamm 89
- Oslebshausen 89
Look up an address in Bremen All Bremen 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