- Startseite
- Daten
- Bahnhöfe
- Schmalkalden Fachhochschule
Schmalkalden Fachhochschule
Measured long-distance and regional arrivals at this station.
- On time
- 94 %
- 6,510 Observations
- Median delay
- 0 min
- 6,510 Observations
- 90. Perzentil
- 4 min
- 6,510 Observations
- Ausfallquote
- 0 %
- 6,541 Observations
January 2026 to August 2026 · 6,510 observed arrivals · on time means less than 6 minutes late.
Die jüngsten 30 Tage
Daily figures as a table
| Date | On time | Median | Cancelled | n |
|---|---|---|---|---|
| 100 % | 1 min | 0 % | 35 | |
| 94 % | 0 min | 0 % | 16 | |
| 100 % | 0 min | 0 % | 18 | |
| 100 % | 0 min | 0 % | 30 | |
| 100 % | 0 min | 0 % | 32 | |
| 100 % | 0 min | 0 % | 35 | |
| 100 % | 0 min | 0 % | 35 | |
| 100 % | 1 min | 0 % | 35 | |
| 100 % | 0 min | 0 % | 16 | |
| 100 % | 0 min | 0 % | 18 | |
| 80 % | 3 min | 0 % | 35 | |
| 26 % | 8 min | 34 % | 23 | |
| 89 % | 1 min | 0 % | 35 | |
| 89 % | 1 min | 0 % | 35 | |
| 100 % | 0 min | 0 % | 35 | |
| 94 % | 1 min | 0 % | 16 | |
| 100 % | 1 min | 0 % | 18 | |
| 94 % | 0 min | 0 % | 35 | |
| 94 % | 0 min | 0 % | 35 | |
| 86 % | 1 min | 0 % | 35 | |
| 91 % | 1 min | 0 % | 35 | |
| 100 % | 1 min | 0 % | 35 | |
| 81 % | 0 min | 0 % | 16 | |
| 100 % | 1 min | 0 % | 18 | |
| 100 % | 1 min | 0 % | 35 | |
| 77 % | 4 min | 0 % | 35 | |
| 100 % | 1 min | 0 % | 35 | |
| 89 % | 1 min | 0 % | 35 | |
| 83 % | 1 min | 0 % | 35 | |
| 100 % | 0 min | 0 % | 16 |
Frequently observed trains
- STB 8116594 %n = 226
- STB 8116892 %n = 226
- STB 8116196 %n = 225
- STB 8116496 %n = 225
- STB 8116990 %n = 225
- STB 8117292 %n = 225
- STB 8115695 %n = 224
- STB 8115797 %n = 224
- STB 8118096 %n = 224
- STB 8116097 %n = 223
- STB 8117394 %n = 223
- STB 8117795 %n = 223
- STB 8118192 %n = 223
- STB 8118292 %n = 223
- STB 8118393 %n = 223
- STB 8117697 %n = 222
Showing the 16 most frequently observed of 35 train numbers.
What the station value means
The value describes arrivals at this stop. It does not say whether the same train was on time at an earlier station or how a transfer will work on the travel day.
Source: Deutsche Bahn, Timetables API, via piebro/deutsche-bahn-data, CC BY 4.0. The values describe past arrivals. How they are calculated

