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- Stuttgart-Bad Cannstatt
Stuttgart-Bad Cannstatt
Measured long-distance and regional arrivals at this station.
- On time
- 79 %
- 136,068 Observations
- Median delay
- 2 min
- 136,068 Observations
- 90. Perzentil
- 9 min
- 136,068 Observations
- Ausfallquote
- 4 %
- 141,860 Observations
January 2026 to August 2026 · 136,068 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 |
|---|---|---|---|---|
| 87 % | 1 min | 1 % | 498 | |
| 88 % | 0 min | 2 % | 495 | |
| 89 % | 1 min | 4 % | 495 | |
| 89 % | 0 min | 3 % | 417 | |
| 91 % | 0 min | 2 % | 445 | |
| 81 % | 1 min | 1 % | 493 | |
| 84 % | 1 min | 1 % | 476 | |
| 82 % | 1 min | 5 % | 478 | |
| 86 % | 1 min | 2 % | 490 | |
| 85 % | 1 min | 2 % | 497 | |
| 84 % | 1 min | 1 % | 485 | |
| 89 % | 1 min | 2 % | 495 | |
| 89 % | 1 min | 3 % | 492 | |
| 85 % | 1 min | 1 % | 501 | |
| 91 % | 1 min | 1 % | 497 | |
| 92 % | 0 min | 3 % | 485 | |
| 91 % | 1 min | 2 % | 504 | |
| 85 % | 1 min | 7 % | 469 | |
| 81 % | 1 min | 3 % | 489 | |
| 85 % | 1 min | 2 % | 481 | |
| 85 % | 1 min | 5 % | 480 | |
| 86 % | 1 min | 5 % | 478 | |
| 94 % | 1 min | 5 % | 471 | |
| 90 % | 1 min | 4 % | 487 | |
| 86 % | 1 min | 4 % | 477 | |
| 84 % | 1 min | 1 % | 476 | |
| 84 % | 1 min | 2 % | 471 | |
| 84 % | 1 min | 7 % | 469 | |
| 88 % | 1 min | 6 % | 474 | |
| 90 % | 1 min | 6 % | 468 |
Frequently observed trains
- ARV 1912387 %n = 241
- ARV 1913890 %n = 241
- ARV 1912678 %n = 240
- ARV 1913185 %n = 240
- ARV 1914271 %n = 240
- ARV 1914776 %n = 240
- ARV 1911873 %n = 239
- ARV 1913482 %n = 239
- ARV 1913980 %n = 239
- ARV 1914385 %n = 239
- S 711881 %n = 239
- S 713074 %n = 239
- S 713469 %n = 239
- S 714185 %n = 239
- S 714783 %n = 239
- S 715260 %n = 239
Showing the 16 most frequently observed of 1,513 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

