Living in Leyh, Nuremberg
Standard score
Green space, trees and services on foot; residents' median
Poor35
Leyh is an area of Nuremberg with about 2,433 residents. Its CityPulse standard score is 35 out of 100 (poor): better than 4% of Nuremberg residents, ranked 83 of 86 areas.
Strengths
- Services on foot: food shop 7 min walk, pharmacy 12 min walk, doctor 13 min walk
- Protected cycle lanes: protected cycle lane 3 min walk
Weaknesses
- Tree canopy: 4.8% tree canopy within 500 m
- Public transport frequency: 16 departures per hour between 7 and 9 am from nearby stops
- Playgrounds on foot: playground 14 min walk
Who Leyh suits
| Profile | Score | Rank in the city |
|---|---|---|
| Student | 61 · good | 70 of 86 |
| Family | 24 · poor | 85 of 86 |
| Over 65 | 53 · fair | 78 of 86 |
| Working from home | 40 · fair | 72 of 86 |
| Commuter | 48 · fair | 66 of 86 |
Services on foot
Walking-network distance for the area's typical resident (median).
| Service | Typical distance | On foot |
|---|---|---|
| Food shop | 524 m | 7 min walk |
| Pharmacy | 974 m | 12 min walk |
| Doctor | 1,059 m | 13 min walk |
| Nursery school | 579 m | 7 min walk |
| Primary school | 982 m | 12 min walk |
| Bus, tram or water bus stop | 245 m | 3 min walk |
| Metro or train station | 719 m | 9 min walk |
| Public green space | 867 m | 11 min walk |
| Large park (≥ 10 ha) | 1,014 m | 13 min walk |
| Playground | 1,092 m | 14 min walk |
| Protected cycle lane | 213 m | 3 min walk |
Greenery, air and transport
- 4.8% tree canopy within 500 m (city median: 18.4%)
- 8.6 µg/m³ of PM2.5, 2024 annual mean
- 16 departures per hour between 7 and 9 am (city median: 18)
- Medium density
Streets and squares in Leyh
Alfredstraße · Bernhardstraße · Chlodwigstraße · Fronmüllerstraße · Höfener Straße · Karl-Martell-Straße · Lotharstraße · Ludwig-Quellen-Straße · Matthiasstraße · Oststraße · Richard-Wagner-Straße · Schieräckerstraße · Wittekindstraße
Nearby areas
Look up an address in Nuremberg All Nuremberg 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