Capacity - Germany
PRB monitoring
▪ DFS recorded 0.18 minutes of en route ATFM delay per flight in 2020 and performed better than its local breakdown value of 0.52.
▪ Delays must be considered in the context of the traffic evolution: IFR movements in 2020 were 56% below the 2019 levels in Germany. When analysing the first two months of 2020, there were slightly less IFR movements than in 2019 (-2%) but delays reduced more notably (-41%).
▪ Germany reported some capacity issues in the early months of 2020 due to the lack of qualified ATCOs. Germany reported a decrease in the number of ATCO FTEs by 4%, 1%, 1% and 2% in Bremen, Karlsruhe, Langen and Münich ACCs respectively.
▪ Based on the analysis of previous capacity profiles, the PRB estimates Germany will face a capacity gap once IFR movementsrise above 80% of 2019 levels. The PRB recommends that capacity improvement measures should be implemented.
▪ Delays were mostly related to ATC capacity and staffing.
▪ The share of delayed flights with delays longer than 15 minutes in Germany decreased by 15.91 p.p. compared to 2019.
▪ The yearly total of sector opening hours in Langen ACC was 118,454, showing a 10.5% decrease compared to 2019. The yearly total of sector opening hours in Munich ACC was 70,385, showing a 27.6% decrease compared to 2019. The yearly total of sector opening hours in Karlsruhe ACC was 88,037, showing a 39.2% decrease compared to 2019. The yearly total of sector opening hours in Bremen ACC was 76,975, showing a 25.9% decrease compared to 2019.
▪ Langen ACC registered 5.12 IFR movements per one sector opening hour in 2020, being 49.3% below 2019 levels. Munich ACC registered 7.1 IFR movements per one sector opening hour in 2020, being 42.6% below 2019 levels. Karlsruhe ACC registered 9.82 IFR movements per one sector opening hour in 2020, being 22.3% below 2019 levels. Bremen ACC registered 3.63 IFR movements per one sector opening hour in 2020, being 42.6% below 2019 levels.
En route performance
En route ATFM delay (KPI#1)
Other indicators
Terminal performance
Arrival ATFM delay (KPI#2)
Other terminal performance indicators (PI#1-3)
Airport level | ||||||||||||||||
Airport name |
Avg arrival
ATFM delay (KPI#2)
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Slot adherence (PI#1)
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ATC pre departure
delay (PI#2)
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All causes pre departure
delay (PI#3)
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2020 | 2021 | 2022 | 2023 | 2020 | 2021 | 2022 | 2023 | 2020 | 2021 | 2022 | 2023 | 2020 | 2021 | 2022 | 2023 | |
Berlin Schönefeld | NA | NA | NA | NA | 97.7% | NA% | NA% | NA% | 0.04 | NA | NA | NA | 8.2 | NA | NA | NA |
Berlin-Tegel | 0.05 | NA | NA | NA | 94.2% | NA | NA | NA | NA | NA | NA | NA | 6.7 | NA | NA | NA |
Bremen | 0.01 | NA | NA | NA | 94.9% | NA% | NA% | NA% | 0.01 | NA | NA | NA | 3.4 | NA | NA | NA |
Dresden | NA | NA | NA | NA | 99.7% | NA% | NA% | NA% | 0.00 | NA | NA | NA | 7.9 | NA | NA | NA |
Düsseldorf | 0.26 | NA | NA | NA | 95.8% | NA% | NA% | NA% | 0.11 | NA | NA | NA | 8.2 | NA | NA | NA |
Erfurt | NA | NA | NA | NA | 96.0% | NA% | NA% | NA% | 0.00 | NA | NA | NA | 4.8 | NA | NA | NA |
Frankfurt | 0.19 | NA | NA | NA | 92.3% | NA% | NA% | NA% | 0.28 | NA | NA | NA | 16.5 | NA | NA | NA |
Hamburg | 0.03 | NA | NA | NA | 97.5% | NA% | NA% | NA% | 0.08 | NA | NA | NA | 7.4 | NA | NA | NA |
Hannover | NA | NA | NA | NA | 95.9% | NA% | NA% | NA% | 0.01 | NA | NA | NA | 11.6 | NA | NA | NA |
Köln-Bonn | 0.03 | NA | NA | NA | 97.2% | NA% | NA% | NA% | NA | NA | NA | NA | 10.8 | NA | NA | NA |
Leipzig | 0.14 | NA | NA | NA | 98.9% | NA% | NA% | NA% | 0.16 | NA | NA | NA | 15.2 | NA | NA | NA |
München | 0.08 | NA | NA | NA | 94.3% | NA% | NA% | NA% | 0.01 | NA | NA | NA | 7.3 | NA | NA | NA |
Münster-Osnabrück | NA | NA | NA | NA | 97.1% | NA% | NA% | NA% | 0.00 | NA | NA | NA | 8.6 | NA | NA | NA |
Nürnberg | NA | NA | NA | NA | 97.6% | NA% | NA% | NA% | 0.03 | NA | NA | NA | 13.4 | NA | NA | NA |
Saarbrücken | NA | NA | NA | NA | 98.4% | NA% | NA% | NA% | 0.00 | NA | NA | NA | 3.3 | NA | NA | NA |
Stuttgart | NA | NA | NA | NA | 98.9% | NA% | NA% | NA% | 0.05 | NA | NA | NA | 6.9 | NA | NA | NA |