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- Bad Sulza
Bad Sulza
Measured long-distance and regional arrivals at this station.
- On time
- 86 %
- 16,595 Observations
- Median delay
- 0 min
- 16,595 Observations
- 90. Perzentil
- 7 min
- 16,595 Observations
- Ausfallquote
- 0 %
- 16,673 Observations
January 2026 to August 2026 · 16,595 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 | |
| 93 % | 0 min | 19 % | 56 | |
| 90 % | 0 min | 0 % | 69 | |
| 85 % | 0 min | 0 % | 60 | |
| 80 % | 0 min | 0 % | 64 | |
| 92 % | 0 min | 0 % | 71 | |
| 97 % | 0 min | 0 % | 71 | |
| 78 % | 1 min | 4 % | 68 | |
| 97 % | 0 min | 0 % | 69 | |
| 89 % | 1 min | 4 % | 66 | |
| 80 % | 0 min | 0 % | 71 | |
| 86 % | 0 min | 1 % | 70 | |
| 89 % | 1 min | 0 % | 71 | |
| 87 % | 1 min | 0 % | 71 | |
| 96 % | 0 min | 0 % | 71 | |
| 96 % | 0 min | 0 % | 69 | |
| 93 % | 0 min | 0 % | 69 | |
| 87 % | 0 min | 0 % | 71 | |
| 96 % | 0 min | 0 % | 71 | |
| 94 % | 0 min | 3 % | 69 | |
| 86 % | 0 min | 0 % | 71 | |
| 85 % | 1 min | 0 % | 71 | |
| 63 % | 1 min | 3 % | 67 | |
| 68 % | 2 min | 0 % | 69 | |
| 87 % | 1 min | 0 % | 71 | |
| 79 % | 1 min | 0 % | 71 | |
| 86 % | 0 min | 0 % | 71 | |
| 64 % | 1 min | 1 % | 70 | |
| 90 % | 1 min | 0 % | 71 | |
| 84 % | 1 min | 0 % | 69 |
Frequently observed trains
- ABR 7461688 %n = 243
- ABR 7462083 %n = 243
- ABR 7462282 %n = 243
- ABR 7460890 %n = 242
- ABR 7461087 %n = 242
- ABR 7461184 %n = 242
- ABR 7461289 %n = 242
- ABR 7461388 %n = 242
- ABR 7461784 %n = 242
- ABR 7462364 %n = 242
- ABR 7460995 %n = 241
- ABR 7462183 %n = 241
- ABR 7462680 %n = 241
- ABR 7462764 %n = 241
- ABR 7463284 %n = 241
- ABR 7463382 %n = 241
Showing the 16 most frequently observed of 159 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

