Living in Lohn-Lissen, Karlsruhe
Lohn-Lissen is an area of Karlsruhe with about 2,325 residents. Its CityPulse standard score is 83 out of 100 (excellent): better than 53% of Karlsruhe residents, ranked 19 of 43 areas.
Strengths
- Tree canopy: 26.8% tree canopy within 500 m
- Services on foot: food shop 6 min walk, pharmacy 7 min walk, doctor 9 min walk
- Playgrounds on foot: playground 3 min walk
- Protected cycle lanes: protected cycle lane 4 min walk
Weaknesses
- Public transport frequency: 15 departures per hour between 7 and 9 am from nearby stops
Who Lohn-Lissen suits
| Profile | Score | Rank in the city |
|---|---|---|
| Student | 81 · excellent | 20 of 43 |
| Family | 89 · excellent | 16 of 43 |
| Over 65 | 86 · excellent | 17 of 43 |
| Working from home | 78 · good | 18 of 43 |
| Commuter | 47 · fair | 33 of 43 |
Services on foot
Walking-network distance for the area's typical resident (median).
| Service | Typical distance | On foot |
|---|---|---|
| Food shop | 500 m | 6 min walk |
| Pharmacy | 585 m | 7 min walk |
| Doctor | 699 m | 9 min walk |
| Nursery school | 402 m | 5 min walk |
| Primary school | 870 m | 11 min walk |
| Bus, tram or water bus stop | 252 m | 3 min walk |
| Metro or train station | 1,168 m | 15 min walk |
| Public green space | 394 m | 5 min walk |
| Large park (≥ 10 ha) | 2,392 m | 30 min walk |
| Playground | 207 m | 3 min walk |
| Protected cycle lane | 291 m | 4 min walk |
Greenery, air and transport
- 26.8% tree canopy within 500 m (city median: 22.2%)
- 7.7 µg/m³ of PM2.5, 2024 annual mean
- 15 departures per hour between 7 and 9 am (city median: 18)
- Medium density
Streets and squares in Lohn-Lissen
Dietrichstraße · Dornwaldstraße · Ellmendinger Straße · Ersinger Straße · Fiduciastraße · Gudrunstraße · Hans-Pfitzner-Straße · Im Blumenwinkel · Ispringer Straße · Josef-Kraus-Straße · Killisfeldstraße · Lissenstraße · Mastweidenweg · Nelkenweg · Oberwaldstraße · Ottostraße · Tulpenweg · Wilferdinger Straße
Nearby areas
Look up an address in Karlsruhe All Karlsruhe 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