Living in Autschachen, Glarus Nord
Standard score
Green space, trees and services on foot; residents' median
Poor14
Autschachen is an area of Glarus Nord with about 677 residents. Its CityPulse standard score is 14 out of 100 (poor): better than 47% of Glarus Nord residents, ranked 3 of 9 areas.
Strengths
- Services on foot: food shop 6 min walk, pharmacy 57 min walk, doctor 7 min walk
- Playgrounds on foot: playground 2 min walk
Weaknesses
- Public green space: public green space 15 min walk, large park 15 min walk
- Tree canopy: 0.4% tree canopy within 500 m
- Public transport frequency: 4 departures per hour between 7 and 9 am from nearby stops
- Protected cycle lanes: protected cycle lane 10 min walk
Who Autschachen suits
| Profile | Score | Rank in the city |
|---|---|---|
| Student | 18 · poor | 4 of 9 |
| Family | 28 · poor | 2 of 9 |
| Over 65 | 26 · poor | 3 of 9 |
| Working from home | 19 · poor | 2 of 9 |
| Commuter | 19 · poor | 4 of 9 |
Services on foot
Walking-network distance for the area's typical resident (median).
| Service | Typical distance | On foot |
|---|---|---|
| Food shop | 480 m | 6 min walk |
| Pharmacy | 4,523 m | 57 min walk |
| Doctor | 587 m | 7 min walk |
| Nursery school | 566 m | 7 min walk |
| Primary school | 760 m | 10 min walk |
| Bus, tram or water bus stop | 74 m | 1 min walk |
| Metro or train station | 948 m | 12 min walk |
| Public green space | 1,235 m | 15 min walk |
| Large park (≥ 10 ha) | 1,235 m | 15 min walk |
| Playground | 135 m | 2 min walk |
| Protected cycle lane | 800 m | 10 min walk |
Greenery, air and transport
- 0.4% tree canopy within 500 m (city median: 4.9%)
- 5.8 µg/m³ of PM2.5, 2024 annual mean
- 4 departures per hour between 7 and 9 am (city median: 4)
- Low density
Streets and squares in Autschachen
Am Linthli · Ambühlweg · Escherstrasse · Freulerweg · Fronalpstrasse · Industriestrasse · Kleine Schwärzistrasse · Linthdamm · Oberurnerstrasse · Schwärzistrasse · Tolderstrasse
Nearby areas
Look up an address in Glarus Nord All Glarus Nord 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 2026-11-07. Method and sources