Göttingen
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Where to live in Göttingen if you commute

Ranking of Göttingen's 33 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 Göttingen to live in if you commute?

According to CityPulse: Innenstadt (79), Südstadt (75) and Egelsberg (70).

Göttingen areas ranked

#AreaScoreStrength
1Innenstadt79 · goodProtected cycle lanes
2Südstadt75 · goodProtected cycle lanes
3Egelsberg70 · goodProtected cycle lanes
4Weststadt70 · goodProtected cycle lanes
5Holtenser Berg66 · goodProtected cycle lanes
6Blümchenviertel64 · goodProtected cycle lanes
7Weende64 · goodProtected cycle lanes
8Nordstadt62 · goodProtected cycle lanes
9Treuenhagen61 · goodProtected cycle lanes
10Ostviertel61 · goodPublic green space
11Papenberg60 · goodProtected cycle lanes
12Ebertal59 · fairProtected cycle lanes
13Lohberg56 · fairTree canopy
14Geismar56 · fairProtected cycle lanes
15Kiesseekarree55 · fairProtected cycle lanes
16Grone55 · fairProtected cycle lanes
17Grone-Süd54 · fairProtected cycle lanes
18Zietenterrassen54 · fairTree canopy
19Weende-Nord53 · fairPublic green space
20Hagenberg52 · fairProtected cycle lanes
21Geismar-Süd51 · fairProtected cycle lanes
22Weende-Ost50 · fairProtected cycle lanes
23Leineberg48 · fairProtected cycle lanes
24Weende-West43 · fairPublic green space
25Holtensen41 · fairPublic green space
26Klausberg41 · fairProtected cycle lanes
27Elliehausen39 · poorServices on foot
28Groß Ellershausen31 · poorProtected cycle lanes
29Roringen30 · poorProtected cycle lanes
30Herberhausen25 · poorTree canopy
31Nikolausberg21 · poorPublic green space
32Esebeck12 · poorPublic green space
33Hetjershausen9 · poorTree 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.

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Other profiles in Göttingen

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