Living in Krämpfervorstadt, Erfurt
Standard score
Green space, trees and services on foot; residents' median
Good64
Krämpfervorstadt is an area of Erfurt with about 3,146 residents. Its CityPulse standard score is 64 out of 100 (good): better than 32% of Erfurt residents, ranked 23 of 39 areas.
Strengths
- Public green space: public green space 2 min walk, large park 15 min walk
- Services on foot: food shop 4 min walk, pharmacy 3 min walk, doctor 4 min walk
- Playgrounds on foot: playground 4 min walk
- Protected cycle lanes: protected cycle lane 2 min walk
Weaknesses
- Tree canopy: 8.4% tree canopy within 500 m
Who Krämpfervorstadt suits
| Profile | Score | Rank in the city |
|---|---|---|
| Student | 89 · excellent | 5 of 39 |
| Family | 74 · good | 20 of 39 |
| Over 65 | 69 · good | 25 of 39 |
| Working from home | 33 · poor | 35 of 39 |
| Commuter | 66 · good | 9 of 39 |
Services on foot
Walking-network distance for the area's typical resident (median).
| Service | Typical distance | On foot |
|---|---|---|
| Food shop | 318 m | 4 min walk |
| Pharmacy | 236 m | 3 min walk |
| Doctor | 282 m | 4 min walk |
| Nursery school | 484 m | 6 min walk |
| Primary school | 778 m | 10 min walk |
| Bus, tram or water bus stop | 333 m | 4 min walk |
| Metro or train station | 1,531 m | 19 min walk |
| Public green space | 200 m | 2 min walk |
| Large park (≥ 10 ha) | 1,202 m | 15 min walk |
| Playground | 329 m | 4 min walk |
| Protected cycle lane | 141 m | 2 min walk |
Greenery, air and transport
- 8.4% tree canopy within 500 m (city median: 14.2%)
- 8.5 µg/m³ of PM2.5, 2024 annual mean
- 28 departures per hour between 7 and 9 am (city median: 12)
- High density
Streets and squares in Krämpfervorstadt
An der Kalkreiße · Anton-Lucius-Straße · Azmannsdorfer Weg · Carmerstraße · Dresdener Straße · Geschwister-Scholl-Straße · Grolmannstraße · Iderhoffstraße · Lübecker Straße · Rathenaustraße · Reißhausstraße · Theo-Neubauer-Straße · Werner-Uhlworm-Straße
Nearby areas
Look up an address in Erfurt All Erfurt 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