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- Erfurt-Bischleben
Erfurt-Bischleben
Measured long-distance and regional arrivals at this station.
- On time
- 90 %
- 29,619 Observations
- Median delay
- 0 min
- 29,619 Observations
- 90. Perzentil
- 6 min
- 29,619 Observations
- Ausfallquote
- 0 %
- 29,686 Observations
January 2026 to September 2026 · 29,619 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 |
|---|---|---|---|---|
| 88 % | 0 min | 1 % | 115 | |
| 91 % | 0 min | 0 % | 115 | |
| 92 % | 0 min | 0 % | 115 | |
| 94 % | 0 min | 0 % | 108 | |
| 93 % | 0 min | 0 % | 109 | |
| 80 % | 1 min | 1 % | 114 | |
| 93 % | 1 min | 0 % | 115 | |
| 90 % | 1 min | 0 % | 115 | |
| 94 % | 1 min | 2 % | 114 | |
| 88 % | 0 min | 0 % | 115 | |
| 96 % | 0 min | 0 % | 108 | |
| 93 % | 0 min | 1 % | 108 | |
| 92 % | 1 min | 0 % | 114 | |
| 84 % | 2 min | 0 % | 114 | |
| 93 % | 1 min | 0 % | 114 | |
| 88 % | 0 min | 0 % | 114 | |
| 96 % | 0 min | 0 % | 114 | |
| 93 % | 0 min | 0 % | 107 | |
| 95 % | 0 min | 1 % | 107 | |
| 88 % | 0 min | 0 % | 114 | |
| 95 % | 0 min | 0 % | 114 | |
| 92 % | 0 min | 0 % | 114 | |
| 99 % | 0 min | 0 % | 114 | |
| 94 % | 1 min | 0 % | 114 | |
| 87 % | 0 min | 0 % | 108 | |
| 93 % | 1 min | 0 % | 109 | |
| 84 % | 1 min | 1 % | 114 | |
| 93 % | 1 min | 0 % | 115 | |
| 93 % | 1 min | 0 % | 115 | |
| 88 % | 1 min | 0 % | 115 |
Frequently observed trains
- STB 8120295 %n = 273
- STB 8120692 %n = 273
- STB 8121085 %n = 273
- STB 8119493 %n = 272
- STB 8119890 %n = 272
- STB 8120488 %n = 272
- STB 8120882 %n = 272
- STB 8121288 %n = 272
- ABR 7463781 %n = 271
- STB 8119691 %n = 271
- STB 8120089 %n = 271
- STB 8121489 %n = 271
- STB 8121687 %n = 271
- ABR 7461686 %n = 269
- ABR 7461883 %n = 269
- ABR 7462082 %n = 269
Showing the 16 most frequently observed of 190 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

