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- Schwäbisch Gmünd
Schwäbisch Gmünd
Measured long-distance and regional arrivals at this station.
- On time
- 73 %
- 21,937 Observations
- Median delay
- 2 min
- 21,937 Observations
- 90. Perzentil
- 15 min
- 21,937 Observations
- Ausfallquote
- 4 %
- 22,950 Observations
January 2026 to August 2026 · 21,937 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 |
|---|---|---|---|---|
| 74 % | 1 min | 0 % | 97 | |
| 68 % | 1 min | 2 % | 81 | |
| 86 % | 0 min | 9 % | 80 | |
| 67 % | 0 min | 0 % | 85 | |
| 89 % | 0 min | 3 % | 85 | |
| 74 % | 2 min | 0 % | 90 | |
| 72 % | 2 min | 5 % | 87 | |
| 59 % | 3 min | 9 % | 83 | |
| 35 % | 8 min | 0 % | 81 | |
| 40 % | 8 min | 0 % | 89 | |
| 60 % | 4 min | 2 % | 93 | |
| 82 % | 1 min | 2 % | 87 | |
| 93 % | 1 min | 8 % | 82 | |
| 74 % | 2 min | 0 % | 89 | |
| 67 % | 2 min | 2 % | 86 | |
| 82 % | 1 min | 0 % | 74 | |
| 61 % | 4 min | 0 % | 79 | |
| 39 % | 8 min | 2 % | 87 | |
| 31 % | 11 min | 2 % | 87 | |
| 57 % | 4 min | 1 % | 88 | |
| 71 % | 2 min | 15 % | 89 | |
| 65 % | 2 min | 15 % | 88 | |
| 82 % | 1 min | 1 % | 85 | |
| 64 % | 3 min | 0 % | 92 | |
| 59 % | 4 min | 8 % | 97 | |
| 50 % | 5 min | 2 % | 103 | |
| 42 % | 9 min | 9 % | 96 | |
| 54 % | 4 min | 10 % | 94 | |
| 59 % | 3 min | 0 % | 104 | |
| 55 % | 3 min | 0 % | 87 |
Frequently observed trains
- ARV 1947162 %n = 232
- ARV 1945575 %n = 230
- ARV 1947952 %n = 230
- ARV 1945968 %n = 229
- ARV 1947547 %n = 229
- ARV 1942762 %n = 228
- ARV 1943071 %n = 228
- ARV 1945772 %n = 228
- ARV 1946564 %n = 228
- ARV 1941366 %n = 227
- ARV 1942361 %n = 227
- ARV 1946164 %n = 226
- ARV 1946763 %n = 226
- ARV 1941087 %n = 225
- ARV 1942490 %n = 225
- ARV 1942557 %n = 225
Showing the 16 most frequently observed of 127 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

