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Brandenburg

Train punctuality in Brandenburg: all stops at stations in this federal state, period November 2025 to September 2026 without July 2026. Based on published timetable data, not Deutsche Bahn's own measurement.

Cities in this federal state

The three train classes at a glance

Long distance

on time
59.9 %
cancelled
5.4 %
train stops
33,018

Rank 6 of 16 federal states

Regional

on time
86.6 %
cancelled
2.8 %
train stops
3,947,909

Rank 6 of 16 federal states

S-Bahn

on time
96.7 %
cancelled
6.2 %
train stops
1,700,181

Stations compared

Most train stops

StationStopsOn time
Königs Wusterhausen91,37586.8 %
Flughafen BER82,27989.1 %
Schönefeld (bei Berlin)78,82997.8 %
Flughafen BER74,22598.3 %
Waßmannsdorf73,74798.3 %
Birkenwerder (b Berlin)72,73696.5 %
Frankfurt (Oder)71,98188.7 %
Hohen Neuendorf (b Berlin)69,24897.1 %
Potsdam Hbf67,51296.6 %
Potsdam Griebnitzsee67,10296.1 %

Regional

Most punctual

StationStopsOn time
Potsdam Charlottenhof48,65392.5 %
Frankfurt (Oder)63,98791.9 %
Potsdam Park Sanssouci40,64691.2 %
Eberswalde Hbf48,20491.0 %
Potsdam Hbf64,20590.8 %

Least punctual

StationStopsOn time
Königs Wusterhausen51,21078.7 %
Dallgow-Döberitz47,13881.2 %
Cottbus Hbf65,39085.0 %
Flughafen BER78,87890.2 %
Potsdam Hbf64,20590.8 %

S-Bahn

Most punctual

StationStopsOn time
Schönefeld (bei Berlin)74,35798.4 %
Flughafen BER74,22598.3 %
Waßmannsdorf73,74798.3 %
Hohen Neuendorf (b Berlin)68,44697.1 %
Teltow Stadt61,79296.8 %

Least punctual

StationStopsOn time
Potsdam Griebnitzsee67,10296.1 %
Babelsberg67,08596.5 %
Potsdam Hbf67,51296.6 %
Birkenwerder (b Berlin)66,52096.6 %
Teltow Stadt61,79296.8 %

Period: November 2025 to September 2026 without July 2026 (months with too many hours missing in the source are left out). On time = under 6 minutes late, measured over the stops that took place. The punctuality lists only include stations with enough stops (long distance from 8,000, regional from 40,000, S-Bahn from 60,000). Public timetable data, not Deutsche Bahn's own measurement. A station name can appear more than once when our data lists it as separate entries.

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