Living in Matznerviertel, Vienna
Standard score
Green space, trees and services on foot; residents' median
Good73
Matznerviertel is an area of Vienna with about 7,850 residents. Its CityPulse standard score is 73 out of 100 (good): better than 58% of Vienna residents, ranked 76 of 150 areas.
Strengths
- Public green space: public green space 2 min walk, large park 14 min walk
- Services on foot: food shop 4 min walk, pharmacy 5 min walk, doctor 3 min walk
- Playgrounds on foot: playground 4 min walk
- Protected cycle lanes: protected cycle lane 4 min walk
Who Matznerviertel suits
| Profile | Score | Rank in the city |
|---|---|---|
| Student | 91 · excellent | 20 of 150 |
| Family | 78 · good | 80 of 150 |
| Over 65 | 73 · good | 91 of 150 |
| Working from home | 36 · poor | 99 of 150 |
| Commuter | 72 · good | 99 of 150 |
Services on foot
Walking-network distance for the area's typical resident (median).
| Service | Typical distance | On foot |
|---|---|---|
| Food shop | 303 m | 4 min walk |
| Pharmacy | 373 m | 5 min walk |
| Doctor | 204 m | 3 min walk |
| Nursery school | 362 m | 5 min walk |
| Primary school | 763 m | 10 min walk |
| Bus, tram or water bus stop | 231 m | 3 min walk |
| Metro or train station | 550 m | 7 min walk |
| Public green space | 158 m | 2 min walk |
| Large park (≥ 10 ha) | 1,132 m | 14 min walk |
| Playground | 291 m | 4 min walk |
| Protected cycle lane | 301 m | 4 min walk |
Greenery, air and transport
- 13.1% tree canopy within 500 m (city median: 12.1%)
- 10.5 µg/m³ of PM2.5, 2024 annual mean
- 41 departures per hour between 7 and 9 am (city median: 59)
- High density
Streets and squares in Matznerviertel
Amortgasse · Dreyhausenstraße · Fenzlgasse · Goldschlagstraßenbrücke · Gurkgasse · Lenneisgasse · Leyserstraße · Lotte-Lenya-Platz · Marcusgasse · Matznergasse · Missindorfstraße · Prochstraße · Reinlgasse · Rottstraße · Straßgschwandtnerstraße
Nearby areas
- Penzing 86
- Baumgarten 82
- Breitensee 69
- Neu-Penzing 57
Look up an address in Vienna All Vienna 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 2026-11-06. Method and sources