Living in Gelbes Viertel, Berlin
Gelbes Viertel is an area of Berlin with about 6,253 residents. Its CityPulse standard score is 86 out of 100 (excellent): better than 55% of Berlin residents, ranked 162 of 350 areas.
Strengths
- Public green space: public green space 1 min walk, large park 2 min walk
- Services on foot: food shop 5 min walk, pharmacy 7 min walk, doctor 12 min walk
- Playgrounds on foot: playground 1 min walk
- Protected cycle lanes: protected cycle lane 4 min walk
Who Gelbes Viertel suits
| Profile | Score | Rank in the city |
|---|---|---|
| Student | 83 · excellent | 186 of 350 |
| Family | 90 · excellent | 86 of 350 |
| Over 65 | 90 · excellent | 87 of 350 |
| Working from home | 78 · good | 112 of 350 |
| Commuter | 73 · good | 172 of 350 |
Services on foot
Walking-network distance for the area's typical resident (median).
| Service | Typical distance | On foot |
|---|---|---|
| Food shop | 367 m | 5 min walk |
| Pharmacy | 530 m | 7 min walk |
| Doctor | 974 m | 12 min walk |
| Nursery school | 387 m | 5 min walk |
| Primary school | 413 m | 5 min walk |
| Bus, tram or water bus stop | 309 m | 4 min walk |
| Metro or train station | 474 m | 6 min walk |
| Public green space | 44 m | 1 min walk |
| Large park (≥ 10 ha) | 180 m | 2 min walk |
| Playground | 119 m | 1 min walk |
| Protected cycle lane | 336 m | 4 min walk |
Greenery, air and transport
- 21.2% tree canopy within 500 m (city median: 22.0%)
- 10.7 µg/m³ of PM2.5, 2024 annual mean
- 24 departures per hour between 7 and 9 am (city median: 31)
- Medium density
Streets and squares in Gelbes Viertel
Am Baltenring · Carola-Neher-Straße · Erich-Kästner-Straße · Etkar-André-Straße · Feldberger Ring · Grottkauer Straße · Iselbergplatz · Iselbergstraße · John-Heartfield-Straße · Lili-Grün-Weg · Lin-Jaldati-Weg · Maxie-Wander-Straße · Neue Grottkauer Straße · Peter-Edel-Straße · Schönherrstraße · Telemannweg · Tschudistraße · Uckermarkstraße
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