Living in Neukölln, Berlin
Standard score
Green space, trees and services on foot; residents' median
Good76
Neukölln is an area of Berlin with about 5,550 residents. Its CityPulse standard score is 76 out of 100 (good): better than 29% of Berlin residents, ranked 262 of 350 areas.
Strengths
- Public green space: public green space 4 min walk, large park 4 min walk
- Services on foot: food shop 2 min walk, pharmacy 2 min walk, doctor 1 min walk
- Public transport frequency: 54 departures per hour between 7 and 9 am from nearby stops
- Playgrounds on foot: playground 2 min walk
Who Neukölln suits
| Profile | Score | Rank in the city |
|---|---|---|
| Student | 85 · excellent | 156 of 350 |
| Family | 77 · good | 264 of 350 |
| Over 65 | 76 · good | 271 of 350 |
| Working from home | 35 · poor | 329 of 350 |
| Commuter | 72 · good | 178 of 350 |
Services on foot
Walking-network distance for the area's typical resident (median).
| Service | Typical distance | On foot |
|---|---|---|
| Food shop | 168 m | 2 min walk |
| Pharmacy | 133 m | 2 min walk |
| Doctor | 37 m | 1 min walk |
| Nursery school | 230 m | 3 min walk |
| Primary school | 402 m | 5 min walk |
| Bus, tram or water bus stop | 72 m | 1 min walk |
| Metro or train station | 238 m | 3 min walk |
| Public green space | 284 m | 4 min walk |
| Large park (≥ 10 ha) | 284 m | 4 min walk |
| Playground | 171 m | 2 min walk |
| Protected cycle lane | 520 m | 6 min walk |
Greenery, air and transport
- 12.9% tree canopy within 500 m (city median: 22.0%)
- 10.7 µg/m³ of PM2.5, 2024 annual mean
- 54 departures per hour between 7 and 9 am (city median: 31)
- High density
Streets and squares in Neukölln
Berthelsdorfer Straße · Bornsdorfer Straße · Briesestraße · Erkstraße · Ganghoferstraße · Hans-Schiftan-Straße · Kienitzer Straße · Morusstraße · Neckarstraße · Rollbergstraße · Uwe-Lieschied-Straße
Nearby areas
- Körnerkiez 98
- Schillerkiez 92
- Flughafenkiez 86
- Böhmisches Dorf 76
- Weserkiez 70
- Donaukiez 61
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