Where to live in Stuttgart if you commute
Ranking of Stuttgart's 64 areas with CityPulse's “Commuter” profile. What matters most: services on foot, public transport frequency, protected cycle lanes, public green space and tree canopy. Preferred density: medium.
What is the best area of Stuttgart to live in if you commute?
According to CityPulse: Stuttgart-Nord (89), Sillenbuch (83) and Berg (83).
Stuttgart areas ranked
| # | Area | Score | Strength |
|---|---|---|---|
| 1 | Stuttgart-Nord | 89 · excellent | Public green space |
| 2 | Sillenbuch | 83 · excellent | Protected cycle lanes |
| 3 | Berg | 83 · excellent | Protected cycle lanes |
| 4 | Hofen | 81 · excellent | Protected cycle lanes |
| 5 | Möhringen | 81 · excellent | Protected cycle lanes |
| 6 | Bad Cannstatt | 80 · excellent | Public transport frequency |
| 7 | Stuttgart-Mitte | 80 · excellent | Public transport frequency |
| 8 | Zuffenhausen | 78 · good | Services on foot |
| 9 | Giebel | 77 · good | Protected cycle lanes |
| 10 | Feuerbach | 76 · good | Public green space |
| 11 | Neugereut | 76 · good | Public green space |
| 12 | Dürrlewang | 74 · good | Protected cycle lanes |
| 13 | Heumaden | 74 · good | Tree canopy |
| 14 | Bergheim | 74 · good | Tree canopy |
| 15 | Wangen | 74 · good | Tree canopy |
| 16 | Mönchfeld | 73 · good | Public green space |
| 17 | Hedelfingen | 73 · good | Tree canopy |
| 18 | Mühlhausen | 72 · good | Public green space |
| 19 | Altenburg | 72 · good | Protected cycle lanes |
| 20 | Untertürkheim | 70 · good | Protected cycle lanes |
| 21 | Wolfbusch | 70 · good | Protected cycle lanes |
| 22 | Killesberghöhe | 70 · good | Protected cycle lanes |
| 23 | Weilimdorf | 69 · good | Public green space |
| 24 | Rot | 69 · good | Public green space |
| 25 | Stuttgart-Ost | 69 · good | Public green space |
| 26 | Vaihingen | 67 · good | Public green space |
| 27 | Muckensturm | 67 · good | Public green space |
| 28 | Roter Stich | 67 · good | Tree canopy |
| 29 | Münster | 66 · good | Protected cycle lanes |
| 30 | Sommerrain | 66 · good | Public green space |
| 31 | Zuffenhausen-Elbelen | 65 · good | Tree canopy |
| 32 | Riedenberg | 65 · good | Protected cycle lanes |
| 33 | Büsnau | 64 · good | Public green space |
| 34 | Fasanenhof | 63 · good | Public green space |
| 35 | Plieningen | 62 · good | Public green space |
| 36 | Obertürkheim | 62 · good | Services on foot |
| 37 | Kaltental | 60 · good | Tree canopy |
| 38 | Botnang | 60 · good | Tree canopy |
| 39 | Burgholzhof | 59 · fair | Tree canopy |
| 40 | Birkenäcker | 58 · fair | Public green space |
| 41 | Zazenhausen | 57 · fair | Public green space |
| 42 | Stammheim | 56 · fair | Services on foot |
| 43 | Steinhaldenfeld | 56 · fair | Public green space |
| 44 | Hausen | 54 · fair | Protected cycle lanes |
| 45 | Postdörfle | 54 · fair | Public green space |
| 46 | Rohr | 52 · fair | Public green space |
| 47 | Neuwirtshaus | 52 · fair | Tree canopy |
| 48 | Freiberg | 46 · fair | Public green space |
| 49 | Stuttgart-West | 39 · poor | Public transport frequency |
| 50 | Degerloch | 39 · poor | Tree canopy |
| 51 | Heslach | 38 · poor | Tree canopy |
| 52 | Sonnenberg | 36 · poor | Tree canopy |
| 53 | Stuttgart-Süd | 36 · poor | Public green space |
| 54 | Zuffenhausen-Frauensteg | 36 · poor | Public green space |
| 55 | Polizeisiedlung | 35 · poor | Tree canopy |
| 56 | Hoffeld | 35 · poor | Tree canopy |
| 57 | Birkach | 34 · poor | Public green space |
| 58 | Gablenberg | 34 · poor | Tree canopy |
| 59 | Luginsland | 30 · poor | Services on foot |
| 60 | Lederberg | 23 · poor | Tree canopy |
| 61 | Schönberg | 22 · poor | Tree canopy |
| 62 | Steckfeld | 21 · poor | Public green space |
| 63 | Rohracker | 20 · poor | Tree canopy |
| 64 | Uhlbach | 18 · poor | Public green space |
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 Stuttgart
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