Where to live in Klagenfurt if you work from home
Ranking of Klagenfurt's 25 areas with CityPulse's “Working from home” profile. What matters most: public green space, tree canopy, services on foot and protected cycle lanes. Preferred density: low.
What is the best area of Klagenfurt to live in if you work from home?
According to CityPulse: Kohldorf (77), Sankt Martin (74) and Villacher Vorstadt (72).
Klagenfurt areas ranked
| # | Area | Score | Strength |
|---|---|---|---|
| 1 | Kohldorf | 77 · good | Tree canopy |
| 2 | Sankt Martin | 74 · good | Public green space |
| 3 | Villacher Vorstadt | 72 · good | Protected cycle lanes |
| 4 | St. Veiter Vorstadt | 71 · good | Protected cycle lanes |
| 5 | St. Peter | 68 · good | Protected cycle lanes |
| 6 | Waidmannsdorf | 67 · good | Protected cycle lanes |
| 7 | Innere Stadt | 67 · good | Services on foot |
| 8 | Völkermarkter Vorstadt | 64 · good | Protected cycle lanes |
| 9 | Annabichl | 64 · good | Protected cycle lanes |
| 10 | Viktring | 63 · good | Public green space |
| 11 | Welzenegg | 62 · good | Protected cycle lanes |
| 12 | Viktringer Vorstadt | 62 · good | Protected cycle lanes |
| 13 | St. Ruprecht | 56 · fair | Protected cycle lanes |
| 14 | Tessendorf | 53 · fair | Tree canopy |
| 15 | Harbach | 53 · fair | Protected cycle lanes |
| 16 | St. Martin | 49 · fair | Tree canopy |
| 17 | Oberhaidach | 45 · fair | Protected cycle lanes |
| 18 | Emmersdorf | 43 · fair | Tree canopy |
| 19 | St.Georgen am Sandhof | 34 · poor | Tree canopy |
| 20 | Wölfnitz | 24 · poor | Tree canopy |
| 21 | Ponfeld | 18 · poor | Tree canopy |
| 22 | Lendorf | 18 · poor | Protected cycle lanes |
| 23 | Tentschach | 11 · poor | Tree canopy |
| 24 | Gottesbichl | 10 · poor | Tree canopy |
| 25 | Hörtendorf | 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