- Startseite
- Daten
- Bahnhöfe
- Goldenstedt (Oldb)
Goldenstedt (Oldb)
Measured long-distance and regional arrivals at this station.
- On time
- 63 %
- 9,839 Observations
- Median delay
- 3 min
- 9,839 Observations
- 90. Perzentil
- 16 min
- 9,839 Observations
- Ausfallquote
- 2 %
- 10,062 Observations
January 2026 to September 2026 · 9,839 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 |
|---|---|---|---|---|
| 33 % | 10 min | 5 % | 36 | |
| 76 % | 2 min | 0 % | 38 | |
| 74 % | 2 min | 0 % | 38 | |
| 66 % | 3 min | 0 % | 35 | |
| 67 % | 4 min | 0 % | 36 | |
| 39 % | 8 min | 5 % | 36 | |
| 33 % | 8 min | 5 % | 36 | |
| 50 % | 6 min | 5 % | 36 | |
| 60 % | 4 min | 8 % | 35 | |
| 34 % | 6 min | 0 % | 38 | |
| 71 % | 1 min | 0 % | 35 | |
| 62 % | 4 min | 0 % | 37 | |
| 50 % | 6 min | 16 % | 32 | |
| 44 % | 6 min | 5 % | 36 | |
| 63 % | 4 min | 0 % | 38 | |
| 48 % | 6 min | 13 % | 33 | |
| 36 % | 10 min | 5 % | 36 | |
| 61 % | 4 min | 0 % | 33 | |
| 97 % | 0 min | 0 % | 31 | |
| 57 % | 5 min | 5 % | 37 | |
| 61 % | 4 min | 5 % | 38 | |
| 76 % | 2 min | 0 % | 38 | |
| 53 % | 4 min | 0 % | 38 | |
| 53 % | 5 min | 0 % | 38 | |
| 51 % | 5 min | 0 % | 35 | |
| 84 % | 1 min | 0 % | 37 | |
| 53 % | 5 min | 5 % | 36 | |
| 60 % | 4 min | 10 % | 35 | |
| 55 % | 5 min | 0 % | 38 | |
| 55 % | 5 min | 0 % | 38 |
Frequently observed trains
- NWB 7525758 %n = 272
- NWB 7526338 %n = 269
- NWB 7525362 %n = 268
- NWB 7527542 %n = 268
- NWB 7524686 %n = 267
- NWB 7524879 %n = 267
- NWB 7525482 %n = 267
- NWB 7526663 %n = 267
- NWB 7527136 %n = 267
- NWB 7527460 %n = 267
- NWB 7525149 %n = 266
- NWB 7525944 %n = 266
- NWB 7526533 %n = 266
- NWB 7527738 %n = 266
- NWB 7524953 %n = 265
- NWB 7525082 %n = 265
Showing the 16 most frequently observed of 63 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

