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- Nieder Olm
Nieder Olm
Measured long-distance and regional arrivals at this station.
- On time
- 74 %
- 18,419 Observations
- Median delay
- 2 min
- 18,419 Observations
- 90. Perzentil
- 13 min
- 18,419 Observations
- Ausfallquote
- 5 %
- 19,446 Observations
January 2026 to September 2026 · 18,419 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 |
|---|---|---|---|---|
| 65 % | 4 min | 1 % | 72 | |
| 63 % | 4 min | 0 % | 73 | |
| 52 % | 5 min | 0 % | 73 | |
| 77 % | 4 min | 2 % | 65 | |
| 72 % | 4 min | 1 % | 72 | |
| 22 % | 10 min | 1 % | 72 | |
| 24 % | 10 min | 13 % | 63 | |
| 11 % | 12 min | 14 % | 61 | |
| 22 % | 10 min | 21 % | 58 | |
| 28 % | 8 min | 14 % | 64 | |
| 62 % | 4 min | 0 % | 66 | |
| 74 % | 3 min | 0 % | 73 | |
| 43 % | 6 min | 8 % | 67 | |
| 20 % | 11 min | 11 % | 65 | |
| 28 % | 10 min | 13 % | 65 | |
| 47 % | 6 min | 1 % | 72 | |
| 56 % | 5 min | 1 % | 72 | |
| 86 % | 3 min | 0 % | 66 | |
| 70 % | 3 min | 0 % | 73 | |
| 54 % | 4 min | 1 % | 72 | |
| 49 % | 6 min | 4 % | 70 | |
| 30 % | 7 min | 0 % | 73 | |
| 52 % | 5 min | 3 % | 71 | |
| 31 % | 7 min | 4 % | 70 | |
| 56 % | 4 min | 0 % | 66 | |
| 60 % | 5 min | 0 % | 73 | |
| 66 % | 4 min | 3 % | 71 | |
| 59 % | 4 min | 1 % | 73 | |
| 38 % | 7 min | 1 % | 73 | |
| 58 % | 5 min | 3 % | 72 |
Frequently observed trains
- vlx 2926377 %n = 270
- vlx 2927568 %n = 270
- vlx 2924968 %n = 269
- vlx 2925863 %n = 269
- vlx 2927984 %n = 269
- vlx 2925576 %n = 268
- vlx 2926772 %n = 268
- vlx 2926961 %n = 268
- vlx 2927160 %n = 268
- vlx 2925172 %n = 267
- vlx 2925379 %n = 267
- vlx 2925479 %n = 267
- vlx 2925679 %n = 267
- vlx 2925779 %n = 267
- vlx 2926568 %n = 267
- vlx 2927367 %n = 267
Showing the 16 most frequently observed of 114 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

