UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LCY ↔ FRANKFURT MAIN

In the twelve months from July 2025 to June 2026, 19.9% of 1,133 movements arriving into LCY were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 80.1% of 1,133 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 378 crossed the three-hour mark. Lower is better on every figure on this page. These numbers describe what happened on the route; they are not a prediction for any individual flight.

Definitions, denominators and limits
  • “Disrupted” means an arrival more than fifteen minutes late or a short-notice cancellation. The denominator is operated movements plus short-notice cancellations.
  • Arrivals into the UK airport only; all published carriers.
  • Crossing three hours is one condition for compensation, but monthly data cannot establish any individual passenger’s rights.
  • Delay cause is not published in the open data.
  • Source: CAA punctuality statistics · snapshot 17/08/2026 10:24 · method route-record-v2.1.

0 operations (0.00%) excluded because their published percentages could not be reconciled to whole numbers. Excluded operations enter neither the numerator nor the denominator. Outcome figures and comparisons are unavailable when the excluded share exceeds fifteen percent.

The four numbers at a glance

In the twelve months from July 2025 to June 2026, 19.9% of 1,133 movements were disrupted and 2.9% of 1,133 movements were cancelled at short notice.

When a flight was late, it was typically late by the range shown below. The delay is given as a range, not a single number, because the regulator rounds its published percentages and never says how many flights landed exactly on time.

Disruption shareShort-notice cancellationsAverage delay among delayed flights only — boundsOperations
19.9% of 1,133 movements2.9% of 1,133 movements19.0–56.9 min; N of delayed flights=192–5181,133
Definitions, denominators and limits

The bounds account for CAA rounding and the unknown number of zero delays. A point average across all operated movements, including punctual ones, would answer a different question and is not used here.

When it is late, how late is it?

Most delays here are short. The ladder below shows how many arrivals crossed each threshold, from a quarter of an hour up to six hours; each rung can only be smaller than the one above it.

Cancellations are counted separately: 2.9% of 1,133 movements. “One in N” means how many arrivals you would typically see between events at that level.

Delay threshold ladder; count and share of known operations15 min16.9%30 min9.6%60 min3.4%120 min0.6%180 min0.3%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min16.9% of 1,133 movements1925.9
>30 min9.6% of 1,133 movements10910.4
>60 min3.4% of 1,133 movements3929.1
>120 min0.6% of 1,133 movements7161.9
>180 min0.3% of 1,133 movements3377.7
>360 minno events in 1,133 movements0no observed events, which is not zero risk
Definitions, denominators and limits

CAA counts delays strictly greater than each threshold, so exactly three hours is inseparable from the previous bucket. The ladder describes the archive, not a forecast.

Slightly late, or occasionally a disaster?

When this route runs late, it is usually only a little late: big blow-ups are rarer here than on the typical UK route.

The histogram below counts every recorded arrival, from more than fifteen minutes early through to more than six hours late. A tall bar near the middle and a thin right-hand tail is the healthy shape.

Nine delay buckets, minutes; share of all recorded operations>15 early706.2%15–1 early51245.2%0–15 late32628.8%16–30837.3%31–60706.2%61…120322.8%121…18040.4%181…36030.3%>36000.0%D=1,133
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0196; corpus median 0.0217; 2056 routes in the corpus. The shape is compared conditionally among delays; the class name does not measure absolute frequency. Histogram counts and shares cover all recorded operations including unmatched records; reconstructed uniquely.

Has this route got better or worse since 2018?

Best month: Sep 2021, 5.0% of 60 movements. Worst month: Dec 2022, 45.7% of 164 movements.

The line traces every month in the archive; lower is better. Gaps are months with no published data, never zeros. The 2020 and 2021 readings reflect the pandemic, not normal service.

Monthly disruption share; gaps mean no published dataJan 2018: 27.3%; sample: 1502018Feb 2018: 33.1%; sample: 175Mar 2018: 19.8%; sample: 177Apr 2018: 22.7%; sample: 185May 2018: 32.4%; sample: 188Jun 2018: 30.9%; sample: 181Jul 2018: 31.6%; sample: 152Aug 2018: 25.0%; sample: 140Sep 2018: 18.6%; sample: 172Oct 2018: 21.3%; sample: 202Nov 2018: suppressed: fewer than twenty movements×Dec 2018: suppressed: fewer than twenty movements×Jan 2019: 22.0%; sample: 1642019Feb 2019: 13.8%; sample: 181Mar 2019: 24.5%; sample: 188Apr 2019: 20.5%; sample: 176May 2019: suppressed: fewer than twenty movements×Jun 2019: suppressed: fewer than twenty movements×Jul 2019: suppressed: fewer than twenty movements×Aug 2019: suppressed: fewer than twenty movements×Sep 2019: suppressed: fewer than twenty movements×Oct 2019: suppressed: fewer than twenty movements×Nov 2019: suppressed: fewer than twenty movements×Dec 2019: suppressed: fewer than twenty movements×Jan 2020: 14.7%; sample: 1562020Feb 2020: 29.2%; sample: 178Mar 2020: 36.6%; sample: 112Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: suppressed: fewer than twenty movements×Aug 2020: suppressed: fewer than twenty movements×Sep 2020: 8.7%; sample: 23Oct 2020: 4.2%; sample: 24Nov 2020: suppressed: fewer than twenty movements×Dec 2020: suppressed: fewer than twenty movements×Jan 2021: suppressed: fewer than twenty movements×2021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: suppressed: fewer than twenty movements×May 2021: suppressed: fewer than twenty movements×Jun 2021: suppressed: fewer than twenty movements×Jul 2021: suppressed: fewer than twenty movements×Aug 2021: suppressed: fewer than twenty movements×Sep 2021: 5.0%; sample: 60Oct 2021: 8.1%; sample: 111Nov 2021: 6.7%; sample: 105Dec 2021: 25.7%; sample: 74Jan 2022: 10.8%; sample: 372022Feb 2022: 21.2%; sample: 80Mar 2022: 17.1%; sample: 129Apr 2022: 12.4%; sample: 145May 2022: 15.0%; sample: 173Jun 2022: 32.5%; sample: 154Jul 2022: 31.1%; sample: 148Aug 2022: 18.3%; sample: 126Sep 2022: 21.8%; sample: 156Oct 2022: 12.4%; sample: 177Nov 2022: 20.8%; sample: 173Dec 2022: 45.7%; sample: 164Jan 2023: 20.3%; sample: 1432023Feb 2023: 15.8%; sample: 139Mar 2023: 27.2%; sample: 158Apr 2023: 12.0%; sample: 150May 2023: 15.6%; sample: 167Jun 2023: 23.8%; sample: 164Jul 2023: 11.3%; sample: 151Aug 2023: 22.0%; sample: 159Sep 2023: 22.4%; sample: 165Oct 2023: 22.2%; sample: 180Nov 2023: 25.6%; sample: 180Dec 2023: 38.0%; sample: 150Jan 2024: 31.5%; sample: 1432024Feb 2024: 14.3%; sample: 161Mar 2024: 15.2%; sample: 158Apr 2024: 15.7%; sample: 159May 2024: 21.5%; sample: 158Jun 2024: 25.0%; sample: 132Jul 2024: 35.2%; sample: 142Aug 2024: 25.9%; sample: 116Sep 2024: 29.3%; sample: 150Oct 2024: 21.8%; sample: 156Nov 2024: 29.0%; sample: 131Dec 2024: 31.7%; sample: 126Jan 2025: 11.0%; sample: 1092025Feb 2025: 6.8%; sample: 117Mar 2025: 7.8%; sample: 129Apr 2025: 6.0%; sample: 134May 2025: 17.2%; sample: 128Jun 2025: 25.4%; sample: 122Jul 2025: 33.6%; sample: 119Aug 2025: 14.8%; sample: 108Sep 2025: 32.6%; sample: 132Oct 2025: 21.5%; sample: 144Nov 2025: 10.3%; sample: 126Dec 2025: 16.1%; sample: 118Jan 2026: 31.0%; sample: 872026Feb 2026: 10.4%; sample: 77Mar 2026: 16.9%; sample: 83Apr 2026: 2.2%; sample: 46May 2026: 6.7%; sample: 45Jun 2026: 20.8%; sample: 48Pandemic regime Jun 2020Summer 2022 breakdown Jul 2022NATS system failure Aug 2023Heathrow fire closure Mar 2025100%0%
Every month since 2018, including gaps and suppressed cells
MonthDisruption on arrivals
Jan 201827.3% of 150 movements
Feb 201833.1% of 175 movements
Mar 201819.8% of 177 movements
Apr 201822.7% of 185 movements
May 201832.4% of 188 movements
Jun 201830.9% of 181 movements
Jul 201831.6% of 152 movements
Aug 201825.0% of 140 movements
Sep 201818.6% of 172 movements
Oct 201821.3% of 202 movements
Nov 2018suppressed: fewer than twenty movements
Dec 2018suppressed: fewer than twenty movements
Jan 201922.0% of 164 movements
Feb 201913.8% of 181 movements
Mar 201924.5% of 188 movements
Apr 201920.5% of 176 movements
May 2019suppressed: fewer than twenty movements
Jun 2019suppressed: fewer than twenty movements
Jul 2019suppressed: fewer than twenty movements
Aug 2019suppressed: fewer than twenty movements
Sep 2019suppressed: fewer than twenty movements
Oct 2019suppressed: fewer than twenty movements
Nov 2019suppressed: fewer than twenty movements
Dec 2019suppressed: fewer than twenty movements
Jan 202014.7% of 156 movements
Feb 202029.2% of 178 movements
Mar 202036.6% of 112 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 2020suppressed: fewer than twenty movements
Aug 2020suppressed: fewer than twenty movements
Sep 20208.7% of 23 movements — small sample, not ranked
Oct 20204.2% of 24 movements — small sample, not ranked
Nov 2020suppressed: fewer than twenty movements
Dec 2020suppressed: fewer than twenty movements
Jan 2021suppressed: fewer than twenty movements
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 2021suppressed: fewer than twenty movements
May 2021suppressed: fewer than twenty movements
Jun 2021suppressed: fewer than twenty movements
Jul 2021suppressed: fewer than twenty movements
Aug 2021suppressed: fewer than twenty movements
Sep 20215.0% of 60 movements
Oct 20218.1% of 111 movements
Nov 20216.7% of 105 movements
Dec 202125.7% of 74 movements
Jan 202210.8% of 37 movements — small sample, not ranked
Feb 202221.2% of 80 movements
Mar 202217.1% of 129 movements
Apr 202212.4% of 145 movements
May 202215.0% of 173 movements
Jun 202232.5% of 154 movements
Jul 202231.1% of 148 movements
Aug 202218.3% of 126 movements
Sep 202221.8% of 156 movements
Oct 202212.4% of 177 movements
Nov 202220.8% of 173 movements
Dec 202245.7% of 164 movements
Jan 202320.3% of 143 movements
Feb 202315.8% of 139 movements
Mar 202327.2% of 158 movements
Apr 202312.0% of 150 movements
May 202315.6% of 167 movements
Jun 202323.8% of 164 movements
Jul 202311.3% of 151 movements
Aug 202322.0% of 159 movements
Sep 202322.4% of 165 movements
Oct 202322.2% of 180 movements
Nov 202325.6% of 180 movements
Dec 202338.0% of 150 movements
Jan 202431.5% of 143 movements
Feb 202414.3% of 161 movements
Mar 202415.2% of 158 movements
Apr 202415.7% of 159 movements
May 202421.5% of 158 movements
Jun 202425.0% of 132 movements
Jul 202435.2% of 142 movements
Aug 202425.9% of 116 movements
Sep 202429.3% of 150 movements
Oct 202421.8% of 156 movements
Nov 202429.0% of 131 movements
Dec 202431.7% of 126 movements
Jan 202511.0% of 109 movements
Feb 20256.8% of 117 movements
Mar 20257.8% of 129 movements
Apr 20256.0% of 134 movements
May 202517.2% of 128 movements
Jun 202525.4% of 122 movements
Jul 202533.6% of 119 movements
Aug 202514.8% of 108 movements
Sep 202532.6% of 132 movements
Oct 202521.5% of 144 movements
Nov 202510.3% of 126 movements
Dec 202516.1% of 118 movements
Jan 202631.0% of 87 movements
Feb 202610.4% of 77 movements
Mar 202616.9% of 83 movements
Apr 20262.2% of 46 movements — small sample, not ranked
May 20266.7% of 45 movements — small sample, not ranked
Jun 202620.8% of 48 movements — small sample, not ranked

What did the big disruptions actually do here?

Each named event below is shown against this route’s own baseline for the twelve months before it, and against how long the route took to get back to that baseline.

A month worse than baseline is not proof the named event caused it: the open data carry no delay-cause field at all. Some events sit near the edge of the archive, which limits how long a recovery can be traced.

EventDirectionDisruption that monthBaseline beforeReturn to baseline
Pandemic regime · Jun 2020Arrivalssuppressed: fewer than twenty movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departuressuppressed: fewer than twenty movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals31.1% of 148 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures67.8% of 149 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals22.0% of 159 movements20.4% across 1,868 flightsreturned after 6 months
NATS system failure · Aug 2023Departures31.4% of 159 movements35.4% across 1,877 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals7.8% of 129 movements22.4% across 1,654 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures13.2% of 129 movements32.3% across 1,666 flightsreturned the next month
Definitions, denominators and limits

The baseline is the unweighted mean share over the twelve preceding calendar months. The return window is the following eight months, up to the end of the archive. Return means the first observed value at or below the baseline; it is not the duration of the disruption itself. If the event month is already below the baseline, counting still starts the month after. Gaps and suppressed cells are not treated as zeros or as recovery.

Which time of year has historically been hardest?

December has historically been the hardest month on this route: in a typical December, 34.9% of arrivals were disrupted, measured across 4 Decembers in the archive. April has been the calmest, at 12.4% across 7 Aprils.

Even December has ranged from 16.1% to 45.7% in different years, so this is a record of what happened, not a forecast of what will. Lower is better throughout.

Each cell is one calendar month of one year; the number is the share of that month’s arrivals that were disrupted. Darker means worse. A blank cell means no published data, not zero.

Seasonality: calendar month by year; share and nJanFebMarAprMayJunJulAugSepOctNovDec201922.0% of 164 movements13.8% of 181 movements24.5% of 188 movements20.5% of 176 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements202014.7% of 156 movements29.2% of 178 movements36.6% of 112 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements8.7% of 23 movements †4.2% of 24 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements5.0% of 60 movements8.1% of 111 movements6.7% of 105 movements25.7% of 74 movements202210.8% of 37 movements †21.2% of 80 movements17.1% of 129 movements12.4% of 145 movements15.0% of 173 movements32.5% of 154 movements31.1% of 148 movements18.3% of 126 movements21.8% of 156 movements12.4% of 177 movements20.8% of 173 movements45.7% of 164 movements202320.3% of 143 movements15.8% of 139 movements27.2% of 158 movements12.0% of 150 movements15.6% of 167 movements23.8% of 164 movements11.3% of 151 movements22.0% of 159 movements22.4% of 165 movements22.2% of 180 movements25.6% of 180 movements38.0% of 150 movements202431.5% of 143 movements14.3% of 161 movements15.2% of 158 movements15.7% of 159 movements21.5% of 158 movements25.0% of 132 movements35.2% of 142 movements25.9% of 116 movements29.3% of 150 movements21.8% of 156 movements29.0% of 131 movements31.7% of 126 movements202511.0% of 109 movements6.8% of 117 movements7.8% of 129 movements6.0% of 134 movements17.2% of 128 movements25.4% of 122 movements33.6% of 119 movements14.8% of 108 movements32.6% of 132 movements21.5% of 144 movements10.3% of 126 movements16.1% of 118 movements202631.0% of 87 movements10.4% of 77 movements16.9% of 83 movements2.2% of 46 movements †6.7% of 45 movements †20.8% of 48 movements †no datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan22.0%10.8–31.5%7 months, 833 flights
Feb14.3%6.8–33.1%7 months, 930 flights
Mar17.1%7.8–27.2%7 months, 1,022 flights
Apr12.4%2.2–22.7%7 months, 995 flights
May16.4%6.7–32.4%6 months, 859 flights
Jun25.2%20.8–32.5%6 months, 801 flights
Jul31.6%11.3–35.2%5 months, 712 flights
Aug22.0%14.8–25.9%5 months, 649 flights
Sep22.4%18.6–32.6%5 months, 775 flights
Oct21.5%12.4–22.2%5 months, 859 flights
Nov23.2%10.3–29.0%4 months, 610 flights
Dec34.9%16.1–45.7%4 months, 558 flights
Definitions, denominators and limits

The matrix shows the last eight calendar years, including an incomplete final year; the start of the archive is kept in the history above. Seasonal summaries use the whole available archive, excluding the pandemic regime 2020–2021; this is an observed range, not a forecast. Zero events, missing data and suppressed cells are marked separately. † marks a small sample, described but not ranked. For ranges the colour follows the upper bound.

Which airline has the better record here?

On the published record there is no clear winner: Air Dolomiti 19.0% of 673 movements, Ba Cityflyer 21.1% of 460 movements. The gap between them sits inside sampling noise.

Figures cover arrivals, July 2025 to June 2026; lower is better in every column. Carriers with fewer than twenty published flights are suppressed rather than shown as zero. The page makes no ranking: the operations behind these shares are not matched for aircraft, time of day or season.

Observed disruption share by optionAir Dolomiti19.0% of 673 flightsBa Cityflyer21.1% of 460 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Air Dolomiti67319.0% of 673 movements3.6% of 673 movementsno events in 673 movementsdescriptive comparison
Ba Cityflyer46021.1% of 460 movements2.0% of 460 movements0.7% of 460 movementsdescriptive comparison
Lufthansasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

The noise check is a descriptive approximation assuming independent operations. Delay correlation and mix differences are not estimated; no ranking is derived.

Would another UK airport have been better?

Among UK airports flying to this city with enough flights to publish, LGW had the lowest disruption share at 20.1% of 273 movements and NCL the highest at 32.7% of 245 movements. This route sits at 19.9% of 1,133 movements.

Each figure is arrivals into that UK airport, all carriers combined, over the same twelve months. It is a historical record, not a recommendation about where to fly from, and it says nothing about getting to or from each airport on the ground.

Observed disruption share by optionBhx ↔ Frankfurt-Main24.5% of 1,064 flightsEdi ↔ Frankfurt-Main28.2% of 920 flightsGla ↔ Frankfurt-Main25.0% of 523 flightsLgw ↔ Frankfurt-Main20.1% of 273 flightsLhr ↔ Frankfurt-Main24.8% of 5,415 flightsMan ↔ Frankfurt-Main27.5% of 1,335 flightsNcl ↔ Frankfurt-Main32.7% of 245 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Frankfurt-Mainsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Frankfurt-Mainsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Frankfurt-Mainsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Frankfurt-Main1,06424.5% of 1,064 movements4.7% of 1,064 movements0.2% of 1,064 movementsdescriptive comparison
Boh ↔ Frankfurt-Mainsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Frankfurt-Mainsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Cwl ↔ Frankfurt-Mainsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Frankfurt-Mainsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Frankfurt-Main92028.2% of 920 movements3.5% of 920 movements0.1% of 920 movementsdescriptive comparison
Ema ↔ Frankfurt-Mainsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Frankfurt-Main52325.0% of 523 movements2.7% of 523 movements0.2% of 523 movementsdescriptive comparison
Iom ↔ Frankfurt-Mainsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jer ↔ Frankfurt-Mainsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Frankfurt-Main27320.1% of 273 movements0.7% of 273 movements0.4% of 273 movementsdescriptive comparison
Lhr ↔ Frankfurt-Main5,41524.8% of 5,415 movements2.7% of 5,415 movements0.1% of 5,415 movementsdescriptive comparison
Lpl ↔ Frankfurt-Mainsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Frankfurt-Mainsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Frankfurt-Main1,33527.5% of 1,335 movements2.9% of 1,335 movements0.1% of 1,335 movementsdescriptive comparison
Ncl ↔ Frankfurt-Main24532.7% of 245 movements4.9% of 245 movementsno events in 245 movementsdescriptive comparison
Sen ↔ Frankfurt-Mainsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Frankfurt-Mainsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

Does the direction you are flying change anything?

Yes: arrivals into LCY ran 19.9% of 1,133 movements disrupted, departures 27.6% of 1,138 movements.

It matters legally as well as practically: a departure from the UK and an arrival into the UK on a UK or EU carrier fall under different conditions, and a departure delay does not establish a late arrival at your final destination.

Arrivals and departures side by side
DirectionDisruptionCancellationsOver three hours
Arrivals into LCY19.9% of 1,133 movements2.9% of 1,133 movements0.3% of 1,133 movements
Departures from LCY27.6% of 1,138 movements3.1% of 1,138 movements0.3% of 1,138 movements
Definitions, denominators and limits

CAA conditions on delays and cancellations.

How many flights here crossed the three-hour mark?

The table below counts arrivals and departures that ran more than three hours late — the threshold that is one of the conditions for compensation — across the whole archive and within the last six years.

The pound figure beside each count is arithmetic, not money anyone received: it is the count multiplied by the maximum statutory amount for this distance band. Whether any of those flights actually qualified is not knowable from this data.

DirectionWindowFlights over three hoursArithmetic statutory ceiling
ArrivalsWhole archive · Jan 2018–Jun 202616 flights out of 10,60516 × £220 = £3,520
ArrivalsLast 72 months · Jul 2020–Jun 202611 flights out of 7,67611 × £220 = £2,420
DeparturesWhole archive · Jan 2018–Jun 202612 flights out of 10,65712 × £220 = £2,640
DeparturesLast 72 months · Jul 2020–Jun 202610 flights out of 7,71010 × £220 = £2,200
Definitions, denominators and limits

Full formula: the count is the sum of the two tail buckets across months, carriers and service types in one direction; the ceiling is that count multiplied by the maximum statutory amount for the distance band. The condition is: if every such delay had been the carrier's fault and a claim had been filed on every one of them.

This is conditional arithmetic over operations: passenger numbers, legal applicability and the number of claims are all unknown. For departures it is an arithmetic scenario only, because arrival at the final point is not observed. For long routes the maximum ceiling is used; any reduction in the payable amount is not calculated.

The archive window is counted from the last month of data, not from today: this is not a limitation check for an individual case. The CAA states six years for England and Wales and five for Scotland. CAA: time limits and how to complain. Information, not a legal service.

The facts about this route

Route reference table: codes, distance, frequency, archive span
FieldValue
UK airportLONDON CITY · LCY
Final point / countryFRANKFURT MAIN / GERMANY
Final point codesFRA / EDDF
Great-circle distance620 km
Maximum statutory amount for the band£220
Average operated arrivals per day3.01
Presence in the latest twelve-month windowoperations present in every month of the latest twelve-month window
First and last active monthJan 2018–Jun 2026
Months with operations in the archive97

origin_destination is the final point of the CAA service, not evidence of a nonstop connection. The distance joins the coordinates of the named airports; the actual track is unknown. Frequency describes published operations.

What this data cannot tell you

Delay cause is not published in the regulator's open data. Monthly aggregates describe a population, not a specific flight. Cells below twenty operations are suppressed; twenty to forty-nine are descriptive only and not ranked. Arrivals and departures do not add up. Cancellations are short-notice only, by the CAA definition. A movement is not the same as a scheduled flight.

0 operations (0.00%) excluded because their published percentages could not be reconciled to whole numbers. Excluded operations enter neither the numerator nor the denominator. Outcome figures and comparisons are unavailable when the excluded share exceeds fifteen percent.

Data-quality counters for this route

Zero observed events does not mean zero risk. Operator coverage against the Summary file is not established in this record; comparisons are limited to the published population.

Unmatched records: 0; all recorded operations: 1,133; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

19.9% of 1,133 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

2.9% of 1,133 movements in the same window.

How many delays crossed three hours?

0.3% of 1,133 movements in the same window; these are observed movements, not a count of claims.

What does the delay distribution look like?

chronically slightly late. The class compares the tail with short delays across routes in the corpus.

What distance is used?

620 km, great-circle.

Can compensation entitlement be established here?

No. The cause and the circumstances of an individual flight are unknown. Official CAA conditions.

Why do some cells say "no data"?

That month is absent from the published series. Small cells carry a separate "suppressed" marker; a gap is never replaced by a zero.

How this was calculated

Dataset version, input hashes and reconstruction rules

Dataset version: 396da8dde2874f14; method route-record-v2.1.

Versioned register of every number and the entity map · Input hashes · Correction log · Reconstruction and formulas.

Reconstruction: integer counts inside the rounding bounds of shares of D, summing to M. Ambiguity is preserved as a range of feasible counts; non-convergence stays in quarantine. The map of codes and coordinates is pinned by hash alongside the data. Raw CSV files are not included in the published output.

Your trip has already gone wrong — what now?

The official route to complain

Contact the airline first, then the relevant ADR body or the CAA. The right to care is assessed separately from compensation; time limits and circumstances are checked case by case. CAA: how to complain.

Reconstruction and formulas

Open the versioned claim register

Was your flight delayed 3h+? Check what you may be owed

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