Living in Möckernkiez, Berlin
Standard score
Green space, trees and services on foot; residents' median
Excellent95
Möckernkiez is an area of Berlin with about 4,728 residents. Its CityPulse standard score is 95 out of 100 (excellent): better than 80% of Berlin residents, ranked 40 of 350 areas.
Strengths
- Public green space: public green space 1 min walk, large park 1 min walk
- Tree canopy: 25.4% tree canopy within 500 m
- Services on foot: food shop 4 min walk, pharmacy 6 min walk, doctor 3 min walk
- Public transport frequency: 68 departures per hour between 7 and 9 am from nearby stops
- Playgrounds on foot: playground 2 min walk
- Protected cycle lanes: protected cycle lane 1 min walk
Who Möckernkiez suits
| Profile | Score | Rank in the city |
|---|---|---|
| Student | 99 · excellent | 2 of 350 |
| Family | 90 · excellent | 90 of 350 |
| Over 65 | 88 · excellent | 119 of 350 |
| Working from home | 46 · fair | 219 of 350 |
| Commuter | 90 · excellent | 8 of 350 |
Services on foot
Walking-network distance for the area's typical resident (median).
| Service | Typical distance | On foot |
|---|---|---|
| Food shop | 304 m | 4 min walk |
| Pharmacy | 505 m | 6 min walk |
| Doctor | 216 m | 3 min walk |
| Nursery school | 381 m | 5 min walk |
| Primary school | 531 m | 7 min walk |
| Bus, tram or water bus stop | 244 m | 3 min walk |
| Metro or train station | 536 m | 7 min walk |
| Public green space | 86 m | 1 min walk |
| Large park (≥ 10 ha) | 86 m | 1 min walk |
| Playground | 181 m | 2 min walk |
| Protected cycle lane | 100 m | 1 min walk |
Greenery, air and transport
- 25.4% tree canopy within 500 m (city median: 22.0%)
- 10.8 µg/m³ of PM2.5, 2024 annual mean
- 68 departures per hour between 7 and 9 am (city median: 31)
- High density
Streets and squares in Möckernkiez
Dennewitzstraße · Flottwellstraße · Historische Ladestraße · Hornstraße · Kiezplatz · Möckernstraße · Trebbiner Straße · Wartenburgstraße · Wiesenterrasse · Yorckstraße
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