- Startseite
- Daten
- Bahnhöfe
- Rohr (Thür)
Rohr (Thür)
Measured long-distance and regional arrivals at this station.
- On time
- 87 %
- 4,794 Observations
- Median delay
- 0 min
- 4,794 Observations
- 90. Perzentil
- 6 min
- 4,794 Observations
- Ausfallquote
- 0 %
- 4,803 Observations
January 2026 to August 2026 · 4,794 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 % | 17 | |
| 100 % | 0 min | 0 % | 20 | |
| 95 % | 0 min | 0 % | 20 | |
| 95 % | 0 min | 0 % | 20 | |
| 100 % | 0 min | 0 % | 23 | |
| 100 % | 0 min | 0 % | 23 | |
| 100 % | 0 min | 0 % | 23 | |
| 100 % | 0 min | 0 % | 17 | |
| 100 % | 0 min | 0 % | 20 | |
| 100 % | 0 min | 0 % | 24 | |
| 73 % | 1 min | 4 % | 22 | |
| 83 % | 0 min | 0 % | 23 | |
| 96 % | 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 | |
| 100 % | 0 min | 0 % | 23 | |
| 100 % | 0 min | 0 % | 17 | |
| 100 % | 0 min | 0 % | 20 | |
| 100 % | 0 min | 0 % | 24 | |
| 96 % | 0 min | 0 % | 23 | |
| 96 % | 0 min | 0 % | 23 | |
| 91 % | 0 min | 0 % | 23 | |
| 91 % | 0 min | 0 % | 23 | |
| 100 % | 0 min | 0 % | 17 |
Frequently observed trains
- STB 8127988 %n = 222
- STB 8128177 %n = 222
- STB 8128283 %n = 222
- STB 8128377 %n = 222
- STB 8128477 %n = 222
- STB 8109189 %n = 221
- STB 8127592 %n = 221
- STB 8128676 %n = 221
- STB 8128791 %n = 221
- STB 8128878 %n = 221
- STB 8129090 %n = 221
- RE 376490 %n = 220
- STB 8127885 %n = 220
- STB 8128085 %n = 220
- STB 8128582 %n = 220
- STB 8127789 %n = 219
Showing the 16 most frequently observed of 26 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

