- Startseite
- Daten
- Bahnhöfe
- Nachterstedt-Hoym
Nachterstedt-Hoym
Measured long-distance and regional arrivals at this station.
- On time
- 81 %
- 8,321 Observations
- Median delay
- 1 min
- 8,321 Observations
- 90. Perzentil
- 10 min
- 8,321 Observations
- Ausfallquote
- 2 %
- 8,476 Observations
January 2026 to September 2026 · 8,321 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 |
|---|---|---|---|---|
| 76 % | 1 min | 6 % | 33 | |
| 76 % | 1 min | 3 % | 34 | |
| 79 % | 0 min | 3 % | 34 | |
| 100 % | 0 min | 0 % | 29 | |
| 86 % | 1 min | 0 % | 29 | |
| 77 % | 2 min | 0 % | 35 | |
| 91 % | 1 min | 0 % | 35 | |
| 51 % | 5 min | 0 % | 35 | |
| 91 % | 1 min | 0 % | 35 | |
| 80 % | 2 min | 0 % | 35 | |
| 72 % | 1 min | 0 % | 29 | |
| 72 % | 3 min | 0 % | 29 | |
| 63 % | 4 min | 0 % | 35 | |
| 86 % | 1 min | 0 % | 35 | |
| 68 % | 3 min | 3 % | 34 | |
| 80 % | 1 min | 0 % | 35 | |
| 79 % | 1 min | 3 % | 34 | |
| 72 % | 2 min | 0 % | 29 | |
| 72 % | 2 min | 0 % | 29 | |
| 51 % | 5 min | 0 % | 35 | |
| 49 % | 6 min | 0 % | 35 | |
| 88 % | 1 min | 3 % | 34 | |
| 77 % | 3 min | 0 % | 35 | |
| 57 % | 5 min | 0 % | 35 | |
| 58 % | 4 min | 10 % | 26 | |
| 62 % | 3 min | 0 % | 29 | |
| 57 % | 4 min | 0 % | 35 | |
| 74 % | 2 min | 0 % | 35 | |
| 91 % | 1 min | 0 % | 35 | |
| 71 % | 2 min | 3 % | 34 |
Frequently observed trains
- RSM 7571382 %n = 205
- RSM 7570984 %n = 204
- RSM 7571276 %n = 204
- RSM 7571584 %n = 204
- RSM 7571672 %n = 204
- RSM 7571877 %n = 204
- RSM 7570876 %n = 203
- RSM 7571070 %n = 203
- RSM 7571186 %n = 203
- RSM 7571470 %n = 203
- RSM 7571779 %n = 202
- RSM 7572079 %n = 202
- RSM 8134485 %n = 202
- RSM 7570788 %n = 201
- RSM 7573195 %n = 201
- RSM 8133892 %n = 201
Showing the 16 most frequently observed of 95 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

