- Startseite
- Daten
- Bahnhöfe
- Groß Ammensleben
Groß Ammensleben
Measured long-distance and regional arrivals at this station.
- On time
- 74 %
- 8,688 Observations
- Median delay
- 2 min
- 8,688 Observations
- 90. Perzentil
- 11 min
- 8,688 Observations
- Ausfallquote
- 3 %
- 8,975 Observations
January 2026 to August 2026 · 8,688 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 |
|---|---|---|---|---|
| 80 % | 1 min | 7 % | 40 | |
| 94 % | 1 min | 3 % | 33 | |
| 97 % | 0 min | 3 % | 37 | |
| 93 % | 0 min | 23 % | 27 | |
| 60 % | 3 min | 5 % | 35 | |
| 70 % | 2 min | 0 % | 43 | |
| 48 % | 6 min | 7 % | 40 | |
| 31 % | 12 min | 9 % | 39 | |
| 87 % | 1 min | 6 % | 31 | |
| 82 % | 2 min | 0 % | 38 | |
| 72 % | 3 min | 12 % | 36 | |
| 64 % | 3 min | 10 % | 36 | |
| 68 % | 3 min | 5 % | 41 | |
| 67 % | 2 min | 2 % | 42 | |
| 63 % | 4 min | 0 % | 43 | |
| 82 % | 3 min | 0 % | 33 | |
| 56 % | 5 min | 5 % | 36 | |
| 57 % | 4 min | 5 % | 40 | |
| 74 % | 2 min | 0 % | 43 | |
| 76 % | 3 min | 0 % | 42 | |
| 76 % | 4 min | 0 % | 41 | |
| 66 % | 4 min | 5 % | 41 | |
| 91 % | 0 min | 0 % | 33 | |
| 74 % | 2 min | 0 % | 38 | |
| 86 % | 2 min | 0 % | 42 | |
| 90 % | 1 min | 9 % | 39 | |
| 56 % | 4 min | 5 % | 41 | |
| 56 % | 5 min | 0 % | 43 | |
| 81 % | 2 min | 0 % | 43 | |
| 94 % | 1 min | 0 % | 33 |
Frequently observed trains
- RSM 8037472 %n = 206
- RSM 8036875 %n = 205
- RSM 8035788 %n = 204
- RSM 8036172 %n = 204
- RSM 8036735 %n = 204
- RSM 8035384 %n = 203
- RSM 8036276 %n = 203
- RSM 8037327 %n = 203
- RSM 8035889 %n = 202
- RSM 8037776 %n = 202
- RSM 8037870 %n = 202
- RSM 8035484 %n = 201
- RSM 8036089 %n = 201
- RSM 8037996 %n = 201
- RSM 8037536 %n = 200
- RSM 8037684 %n = 200
Showing the 16 most frequently observed of 109 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

