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- Neckarsulm
Neckarsulm
Measured long-distance and regional arrivals at this station.
- On time
- 84 %
- 34,757 Observations
- Median delay
- 1 min
- 34,757 Observations
- 90. Perzentil
- 9 min
- 34,757 Observations
- Ausfallquote
- 3 %
- 35,678 Observations
January 2026 to August 2026 · 34,757 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 |
|---|---|---|---|---|
| 95 % | 0 min | 0 % | 44 | |
| 100 % | 0 min | 0 % | 42 | |
| 100 % | 0 min | 0 % | 42 | |
| 100 % | 0 min | 0 % | 37 | |
| 92 % | 0 min | 0 % | 39 | |
| 95 % | 0 min | 0 % | 44 | |
| 100 % | 0 min | 0 % | 44 | |
| 100 % | 0 min | 0 % | 44 | |
| 100 % | 0 min | 0 % | 14 | |
| 100 % | 0 min | 0 % | 42 | |
| 91 % | 1 min | 0 % | 65 | |
| 95 % | 1 min | 0 % | 65 | |
| 97 % | 0 min | 0 % | 61 | |
| 98 % | 1 min | 0 % | 65 | |
| 95 % | 1 min | 3 % | 60 | |
| 100 % | 0 min | 0 % | 59 | |
| 98 % | 0 min | 0 % | 59 | |
| 100 % | 1 min | 5 % | 61 | |
| 97 % | 0 min | 0 % | 65 | |
| 98 % | 0 min | 2 % | 64 | |
| 97 % | 0 min | 3 % | 63 | |
| 97 % | 1 min | 2 % | 65 | |
| 100 % | 0 min | 0 % | 59 | |
| 100 % | 0 min | 0 % | 59 | |
| 95 % | 0 min | 14 % | 56 | |
| 89 % | 1 min | 11 % | 54 | |
| 89 % | 0 min | 3 % | 63 | |
| 95 % | 0 min | 11 % | 58 | |
| 81 % | 1 min | 14 % | 57 | |
| 100 % | 0 min | 29 % | 42 |
Frequently observed trains
- ARV 1907576 %n = 197
- ARV 1906378 %n = 195
- ARV 1907068 %n = 194
- ARV 1907854 %n = 194
- ARV 1905877 %n = 193
- ARV 1906863 %n = 193
- ARV 1906178 %n = 192
- ARV 1906579 %n = 192
- ARV 1906666 %n = 192
- ARV 1906070 %n = 191
- ARV 1907377 %n = 191
- ARV 1908059 %n = 191
- ARV 1906463 %n = 190
- ARV 1906268 %n = 189
- ARV 1906780 %n = 188
- ARV 1907770 %n = 188
Showing the 16 most frequently observed of 468 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

