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- Bad Sulza
Bad Sulza
Measured long-distance and regional arrivals at this station.
- On time
- 86 %
- 18,714 Observations
- Median delay
- 0 min
- 18,714 Observations
- 90. Perzentil
- 7 min
- 18,714 Observations
- Ausfallquote
- 0 %
- 18,795 Observations
January 2026 to September 2026 · 18,714 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 |
|---|---|---|---|---|
| 89 % | 0 min | 0 % | 71 | |
| 85 % | 0 min | 0 % | 71 | |
| 85 % | 0 min | 0 % | 71 | |
| 96 % | 0 min | 0 % | 69 | |
| 90 % | 1 min | 0 % | 69 | |
| 73 % | 1 min | 0 % | 71 | |
| 92 % | 0 min | 0 % | 71 | |
| 82 % | 0 min | 0 % | 71 | |
| 92 % | 0 min | 0 % | 71 | |
| 89 % | 0 min | 0 % | 71 | |
| 87 % | 0 min | 1 % | 68 | |
| 88 % | 0 min | 0 % | 69 | |
| 89 % | 1 min | 0 % | 71 | |
| 89 % | 0 min | 0 % | 71 | |
| 93 % | 0 min | 0 % | 71 | |
| 75 % | 1 min | 6 % | 67 | |
| 85 % | 0 min | 0 % | 71 | |
| 90 % | 0 min | 0 % | 69 | |
| 97 % | 0 min | 0 % | 69 | |
| 83 % | 0 min | 0 % | 71 | |
| 87 % | 0 min | 0 % | 71 | |
| 92 % | 0 min | 0 % | 71 | |
| 97 % | 0 min | 0 % | 71 | |
| 94 % | 0 min | 0 % | 71 | |
| 86 % | 0 min | 0 % | 69 | |
| 74 % | 1 min | 0 % | 69 | |
| 86 % | 0 min | 0 % | 71 | |
| 80 % | 0 min | 0 % | 71 | |
| 96 % | 0 min | 0 % | 71 | |
| 73 % | 1 min | 0 % | 71 |
Frequently observed trains
- ABR 7462084 %n = 273
- ABR 7462283 %n = 273
- ABR 7460890 %n = 272
- ABR 7461088 %n = 272
- ABR 7461184 %n = 272
- ABR 7461289 %n = 272
- ABR 7461386 %n = 272
- ABR 7461689 %n = 272
- ABR 7462364 %n = 272
- ABR 7460995 %n = 271
- ABR 7461783 %n = 271
- ABR 7462184 %n = 271
- ABR 7462681 %n = 271
- ABR 7462763 %n = 271
- ABR 7463285 %n = 271
- ABR 7463380 %n = 271
Showing the 16 most frequently observed of 164 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

