Living in Jakobervorstadt-Süd, Augsburg
Jakobervorstadt-Süd is an area of Augsburg with about 3,472 residents. Its CityPulse standard score is 60 out of 100 (good): better than 18% of Augsburg residents, ranked 40 of 44 areas.
Strengths
- Services on foot: food shop 3 min walk, pharmacy 3 min walk, doctor 4 min walk
- Playgrounds on foot: playground 3 min walk
- Protected cycle lanes: protected cycle lane 2 min walk
Weaknesses
- Tree canopy: 8.6% tree canopy within 500 m
Who Jakobervorstadt-Süd suits
| Profile | Score | Rank in the city |
|---|---|---|
| Student | 86 · excellent | 5 of 44 |
| Family | 70 · good | 41 of 44 |
| Over 65 | 65 · good | 41 of 44 |
| Working from home | 32 · poor | 44 of 44 |
| Commuter | 70 · good | 15 of 44 |
Services on foot
Walking-network distance for the area's typical resident (median).
| Service | Typical distance | On foot |
|---|---|---|
| Food shop | 230 m | 3 min walk |
| Pharmacy | 240 m | 3 min walk |
| Doctor | 290 m | 4 min walk |
| Nursery school | 508 m | 6 min walk |
| Primary school | 443 m | 6 min walk |
| Bus, tram or water bus stop | 263 m | 3 min walk |
| Metro or train station | 1,617 m | 20 min walk |
| Public green space | 215 m | 3 min walk |
| Large park (≥ 10 ha) | 1,762 m | 22 min walk |
| Playground | 239 m | 3 min walk |
| Protected cycle lane | 186 m | 2 min walk |
Greenery, air and transport
- 8.6% tree canopy within 500 m (city median: 13.9%)
- 7.7 µg/m³ of PM2.5, 2024 annual mean
- 40 departures per hour between 7 and 9 am (city median: 14)
- High density
Streets and squares in Jakobervorstadt-Süd
Am Sparrenlech · An der Brühlbrücke · Auf dem Plätzchen · Finstere Gasse · Gartengasse · Herrengasse · Hintere Gasse · Im Sack · Jakoberstraße · Jakoberwallstraße · Jakobsplatz · Mittlere Gasse · Neue Gasse · Oberbürgermeister-Dreifuß-Straße · Oberer Graben · Ochsengasse · Rosengasse · Saugasse · Werner-Haas-Straße · Willy-Brand-Platz · Willy-Brandt-Platz · Äußerer Gang · Öglinstraße
Nearby areas
Look up an address in Augsburg All Augsburg 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