Where to live in Salzburg if you commute
Ranking of Salzburg's 24 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 Salzburg to live in if you commute?
According to CityPulse: Parsch (94), Nonntal (94) and Lebenswelt Aigen (93).
Salzburg areas ranked
| # | Area | Score | Strength |
|---|---|---|---|
| 1 | Parsch | 94 · excellent | Protected cycle lanes |
| 2 | Nonntal | 94 · excellent | Protected cycle lanes |
| 3 | Lebenswelt Aigen | 93 · excellent | Protected cycle lanes |
| 4 | Mülln | 92 · excellent | Services on foot |
| 5 | Salzburg-Süd | 91 · excellent | Protected cycle lanes |
| 6 | Schallmoos | 89 · excellent | Protected cycle lanes |
| 7 | Riedenburg | 89 · excellent | Protected cycle lanes |
| 8 | Lehen | 88 · excellent | Protected cycle lanes |
| 9 | Aigen | 87 · excellent | Protected cycle lanes |
| 10 | Burgfried | 87 · excellent | Protected cycle lanes |
| 11 | Glas | 86 · excellent | Protected cycle lanes |
| 12 | Neu-Maxglan | 84 · excellent | Protected cycle lanes |
| 13 | Taxham | 84 · excellent | Protected cycle lanes |
| 14 | Gnigl | 84 · excellent | Protected cycle lanes |
| 15 | Itzling | 83 · excellent | Protected cycle lanes |
| 16 | Elisabeth-Vorstadt | 82 · excellent | Protected cycle lanes |
| 17 | Liefering | 80 · excellent | Protected cycle lanes |
| 18 | Gneis | 79 · good | Public green space |
| 19 | Rott | 76 · good | Public green space |
| 20 | Sam | 73 · good | Protected cycle lanes |
| 21 | Maxglan | 73 · good | Services on foot |
| 22 | Morzg | 65 · good | Protected cycle lanes |
| 23 | Langwied | 64 · good | Protected cycle lanes |
| 24 | Leopoldskroner Moos | 55 · fair | Protected cycle lanes |
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 Salzburg
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