Where to live in Klagenfurt if you commute
Ranking of Klagenfurt's 25 areas with CityPulse's “Commuter” profile. What matters most: services on foot, protected cycle lanes, public green space and tree canopy. Preferred density: medium.
What is the best area of Klagenfurt to live in if you commute?
According to CityPulse: Villacher Vorstadt (87), Sankt Martin (87) and St. Veiter Vorstadt (84).
Klagenfurt areas ranked
| # | Area | Score | Strength |
|---|---|---|---|
| 1 | Villacher Vorstadt | 87 · excellent | Protected cycle lanes |
| 2 | Sankt Martin | 87 · excellent | Protected cycle lanes |
| 3 | St. Veiter Vorstadt | 84 · excellent | Protected cycle lanes |
| 4 | Innere Stadt | 84 · excellent | Services on foot |
| 5 | St. Peter | 80 · excellent | Protected cycle lanes |
| 6 | Waidmannsdorf | 80 · excellent | Protected cycle lanes |
| 7 | Viktringer Vorstadt | 78 · good | Protected cycle lanes |
| 8 | Völkermarkter Vorstadt | 78 · good | Protected cycle lanes |
| 9 | Annabichl | 77 · good | Protected cycle lanes |
| 10 | Welzenegg | 77 · good | Protected cycle lanes |
| 11 | St. Ruprecht | 74 · good | Protected cycle lanes |
| 12 | Kohldorf | 73 · good | Tree canopy |
| 13 | Viktring | 68 · good | Public green space |
| 14 | Harbach | 64 · good | Protected cycle lanes |
| 15 | Oberhaidach | 54 · fair | Protected cycle lanes |
| 16 | St. Martin | 50 · fair | Tree canopy |
| 17 | Tessendorf | 47 · fair | Tree canopy |
| 18 | Emmersdorf | 36 · poor | Tree canopy |
| 19 | Wölfnitz | 30 · poor | Tree canopy |
| 20 | Lendorf | 22 · poor | Protected cycle lanes |
| 21 | St.Georgen am Sandhof | 21 · poor | Tree canopy |
| 22 | Ponfeld | 20 · poor | Tree canopy |
| 23 | Tentschach | 9 · poor | Tree canopy |
| 24 | Hörtendorf | 8 · poor | Tree canopy |
| 25 | Gottesbichl | 8 · poor | Tree canopy |
What it does not consider
The ranking does not account for rents and house prices, noise, safety, or distance from university or work. Use it to decide where to look, then check the individual address.
Other profiles in Klagenfurt
Areas are named after OpenStreetMap neighbourhoods and have approximate boundaries: each hexagon goes to the nearest name. Values are residents' medians. Data updated on 2026-11-06. Method and sources