- Startseite
- Daten
- Bahnhöfe
- Rohr (Thür)
Rohr (Thür)
Measured long-distance and regional arrivals at this station.
- On time
- 89 %
- 5,457 Observations
- Median delay
- 0 min
- 5,457 Observations
- 90. Perzentil
- 6 min
- 5,457 Observations
- Ausfallquote
- 0 %
- 5,465 Observations
January 2026 to September 2026 · 5,457 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 % | 0 min | 0 % | 23 | |
| 100 % | 0 min | 0 % | 23 | |
| 100 % | 0 min | 0 % | 23 | |
| 94 % | 0 min | 0 % | 17 | |
| 95 % | 0 min | 0 % | 20 | |
| 96 % | 0 min | 0 % | 24 | |
| 100 % | 0 min | 0 % | 23 | |
| 96 % | 0 min | 0 % | 23 | |
| 91 % | 0 min | 0 % | 23 | |
| 100 % | 0 min | 0 % | 23 | |
| 94 % | 0 min | 0 % | 17 | |
| 100 % | 0 min | 0 % | 20 | |
| 96 % | 0 min | 0 % | 24 | |
| 96 % | 0 min | 0 % | 23 | |
| 100 % | 0 min | 0 % | 23 | |
| 87 % | 0 min | 0 % | 23 | |
| 100 % | 0 min | 0 % | 23 | |
| 100 % | 0 min | 0 % | 17 | |
| 100 % | 0 min | 0 % | 20 | |
| 100 % | 0 min | 0 % | 24 | |
| 100 % | 0 min | 0 % | 23 | |
| 100 % | 0 min | 0 % | 23 | |
| 100 % | 0 min | 0 % | 23 | |
| 96 % | 0 min | 0 % | 23 | |
| 100 % | 0 min | 0 % | 17 | |
| 95 % | 0 min | 0 % | 20 | |
| 100 % | 0 min | 0 % | 24 | |
| 100 % | 0 min | 0 % | 23 | |
| 100 % | 0 min | 0 % | 23 | |
| 100 % | 0 min | 0 % | 23 |
Frequently observed trains
- STB 8127990 %n = 252
- STB 8128179 %n = 252
- STB 8128285 %n = 252
- STB 8128379 %n = 252
- STB 8128479 %n = 252
- RE 376491 %n = 251
- STB 8109190 %n = 251
- STB 8127593 %n = 251
- STB 8128678 %n = 251
- STB 8128792 %n = 251
- STB 8128881 %n = 251
- STB 8129091 %n = 251
- STB 8127887 %n = 250
- STB 8128086 %n = 250
- STB 8128584 %n = 250
- STB 8127790 %n = 249
Showing the 16 most frequently observed of 30 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

