Living in Südseite, Munich
Südseite is an area of Munich with about 5,974 residents. Its CityPulse standard score is 90 out of 100 (excellent): better than 53% of Munich residents, ranked 73 of 146 areas.
Strengths
- Public green space: public green space 1 min walk, large park 4 min walk
- Tree canopy: 23.3% tree canopy within 500 m
- Services on foot: food shop 4 min walk, pharmacy 7 min walk, doctor 7 min walk
- Playgrounds on foot: playground 1 min walk
- Protected cycle lanes: protected cycle lane 2 min walk
Who Südseite suits
| Profile | Score | Rank in the city |
|---|---|---|
| Student | 86 · excellent | 69 of 146 |
| Family | 95 · excellent | 40 of 146 |
| Over 65 | 94 · excellent | 43 of 146 |
| Working from home | 83 · excellent | 59 of 146 |
| Commuter | 82 · excellent | 58 of 146 |
Services on foot
Walking-network distance for the area's typical resident (median).
| Service | Typical distance | On foot |
|---|---|---|
| Food shop | 345 m | 4 min walk |
| Pharmacy | 587 m | 7 min walk |
| Doctor | 586 m | 7 min walk |
| Nursery school | 339 m | 4 min walk |
| Primary school | 590 m | 7 min walk |
| Bus, tram or water bus stop | 348 m | 4 min walk |
| Metro or train station | 469 m | 6 min walk |
| Public green space | 6 m | 1 min walk |
| Large park (≥ 10 ha) | 324 m | 4 min walk |
| Playground | 109 m | 1 min walk |
| Protected cycle lane | 138 m | 2 min walk |
Greenery, air and transport
- 23.3% tree canopy within 500 m (city median: 25.0%)
- 7.2 µg/m³ of PM2.5, 2024 annual mean
- 30 departures per hour between 7 and 9 am (city median: 35)
- Medium density
Streets and squares in Südseite
August-Zeune-Weg · Baierbrunner Straße · Blieskastelstraße · Carola-Neher-Straße · Colmarer Straße · Hinterbrühler Weg · Koppstr. · Koppstraße · Mettlacher Straße · Mülhauser Straße · Neunkirchner Straße · Rupert-Mayer-Straße · Saarbrücker Straße · Saargemünder Straße · Sankt-Wendel-Straße · Schaidlerstraße · St.-Wendel-Str. · Zaberner Straße
Nearby areas
Look up an address in Munich All Munich areas
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