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- Nauendorf (Saalkr)
Nauendorf (Saalkr)
Measured long-distance and regional arrivals at this station.
- On time
- 80 %
- 6,989 Observations
- Median delay
- 1 min
- 6,989 Observations
- 90. Perzentil
- 9 min
- 6,989 Observations
- Ausfallquote
- 3 %
- 7,177 Observations
January 2026 to August 2026 · 6,989 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 |
|---|---|---|---|---|
| 64 % | 4 min | 0 % | 33 | |
| 90 % | 1 min | 0 % | 21 | |
| 71 % | 2 min | 0 % | 24 | |
| 63 % | 0 min | 14 % | 24 | |
| 83 % | 4 min | 0 % | 30 | |
| 91 % | 1 min | 0 % | 33 | |
| 58 % | 3 min | 0 % | 33 | |
| 72 % | 3 min | 12 % | 29 | |
| 77 % | 1 min | 0 % | 22 | |
| 92 % | 1 min | 0 % | 24 | |
| 97 % | 2 min | 0 % | 33 | |
| 82 % | 2 min | 0 % | 33 | |
| 85 % | 1 min | 0 % | 33 | |
| 78 % | 4 min | 3 % | 32 | |
| 88 % | 1 min | 3 % | 32 | |
| 95 % | 0 min | 0 % | 22 | |
| 79 % | 1 min | 0 % | 24 | |
| 63 % | 3 min | 9 % | 30 | |
| 45 % | 6 min | 0 % | 33 | |
| 61 % | 1 min | 0 % | 33 | |
| 70 % | 3 min | 0 % | 33 | |
| 55 % | 5 min | 6 % | 31 | |
| 82 % | 4 min | 0 % | 22 | |
| 88 % | 1 min | 0 % | 24 | |
| 48 % | 6 min | 0 % | 33 | |
| 33 % | 8 min | 0 % | 33 | |
| 60 % | 4 min | 9 % | 30 | |
| 67 % | 4 min | 0 % | 33 | |
| 61 % | 4 min | 0 % | 33 | |
| 82 % | 2 min | 0 % | 22 |
Frequently observed trains
- RSM 7573184 %n = 209
- RSM 7568481 %n = 208
- RSM 7568776 %n = 208
- RSM 7568880 %n = 208
- RSM 7568678 %n = 207
- RSM 7568977 %n = 207
- RSM 7568376 %n = 206
- RSM 7568577 %n = 206
- RSM 7572282 %n = 206
- RSM 7568084 %n = 205
- RSM 7568179 %n = 205
- RSM 7569078 %n = 204
- RSM 7568278 %n = 203
- RSM 7569378 %n = 202
- RSM 7569285 %n = 201
- RSM 7569184 %n = 200
Showing the 16 most frequently observed of 79 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

