UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

MAN ↔ FRANKFURT MAIN

In the twelve months from July 2025 to June 2026, 27.5% of 1,335 movements arriving into MAN were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 72.5% of 1,335 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 1,335 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, 27.5% of 1,335 movements were disrupted and 2.9% of 1,335 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
27.5% of 1,335 movements2.9% of 1,335 movements16.3–44.9 min; N of delayed flights=328–8221,335
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 1,335 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 min24.6%30 min9.0%60 min2.2%120 min0.2%180 min0.1%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min24.6% of 1,335 movements3284.1
>30 min9.0% of 1,335 movements12011.1
>60 min2.2% of 1,335 movements3044.5
>120 min0.2% of 1,335 movements3445.0
>180 min0.1% of 1,335 movements11,335.0
>360 minno events in 1,335 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 early564.2%15–1 early41831.3%0–15 late49437.0%16–3020815.6%31–60906.7%61…120272.0%121…18020.1%181…36010.1%>36000.0%D=1,335
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0034; 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: Oct 2020, no events in 59 movements. Worst month: Dec 2022, 62.1% of 132 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: 31.6%; sample: 1742018Feb 2018: 25.5%; sample: 165Mar 2018: 34.3%; sample: 181Apr 2018: 23.7%; sample: 169May 2018: 30.4%; sample: 168Jun 2018: 37.7%; sample: 162Jul 2018: 29.1%; sample: 172Aug 2018: 23.0%; sample: 174Sep 2018: 33.3%; sample: 165Oct 2018: 16.6%; sample: 175Nov 2018: 11.6%; sample: 172Dec 2018: 27.9%; sample: 154Jan 2019: 32.4%; sample: 1702019Feb 2019: 8.8%; sample: 160Mar 2019: 32.6%; sample: 172Apr 2019: 20.6%; sample: 165May 2019: 31.4%; sample: 172Jun 2019: 30.9%; sample: 162Jul 2019: 33.5%; sample: 173Aug 2019: 27.3%; sample: 172Sep 2019: 40.1%; sample: 167Oct 2019: 20.6%; sample: 170Nov 2019: 17.2%; sample: 145Dec 2019: 22.6%; sample: 133Jan 2020: 16.3%; sample: 1292020Feb 2020: 33.6%; sample: 143Mar 2020: 19.1%; sample: 89Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: 0.0%; sample: 26Jul 2020: 8.1%; sample: 62Aug 2020: 6.5%; sample: 62Sep 2020: 3.3%; sample: 61Oct 2020: 0.0%; sample: 59Nov 2020: 7.3%; sample: 41Dec 2020: 16.7%; sample: 42Jan 2021: 36.4%; sample: 332021Feb 2021: 32.0%; sample: 25Mar 2021: 32.6%; sample: 43Apr 2021: 47.2%; sample: 36May 2021: 36.2%; sample: 47Jun 2021: 35.0%; sample: 60Jul 2021: 24.6%; sample: 65Aug 2021: 57.8%; sample: 64Sep 2021: 49.1%; sample: 55Oct 2021: 40.3%; sample: 62Nov 2021: 13.0%; sample: 77Dec 2021: 18.4%; sample: 76Jan 2022: 20.7%; sample: 582022Feb 2022: 24.6%; sample: 65Mar 2022: 7.8%; sample: 77Apr 2022: 35.5%; sample: 107May 2022: 28.6%; sample: 119Jun 2022: 52.5%; sample: 118Jul 2022: 53.8%; sample: 104Aug 2022: 38.1%; sample: 97Sep 2022: 45.5%; sample: 99Oct 2022: 34.0%; sample: 100Nov 2022: 31.1%; sample: 135Dec 2022: 62.1%; sample: 132Jan 2023: 29.4%; sample: 1092023Feb 2023: 32.4%; sample: 105Mar 2023: 44.4%; sample: 117Apr 2023: 21.0%; sample: 100May 2023: 29.6%; sample: 108Jun 2023: 48.5%; sample: 101Jul 2023: 49.1%; sample: 112Aug 2023: 54.1%; sample: 109Sep 2023: 57.5%; sample: 106Oct 2023: 41.4%; sample: 116Nov 2023: 36.0%; sample: 125Dec 2023: 57.3%; sample: 124Jan 2024: 37.6%; sample: 1172024Feb 2024: 40.5%; sample: 116Mar 2024: 27.9%; sample: 122Apr 2024: 26.1%; sample: 115May 2024: 13.2%; sample: 106Jun 2024: 30.0%; sample: 110Jul 2024: 38.3%; sample: 107Aug 2024: 25.2%; sample: 107Sep 2024: 20.2%; sample: 104Oct 2024: 21.1%; sample: 109Nov 2024: 26.4%; sample: 125Dec 2024: 28.0%; sample: 125Jan 2025: 29.3%; sample: 1162025Feb 2025: 11.8%; sample: 110Mar 2025: 12.1%; sample: 124Apr 2025: 27.7%; sample: 119May 2025: 24.1%; sample: 116Jun 2025: 27.0%; sample: 111Jul 2025: 26.9%; sample: 119Aug 2025: 39.8%; sample: 123Sep 2025: 42.0%; sample: 112Oct 2025: 33.1%; sample: 118Nov 2025: 15.3%; sample: 124Dec 2025: 18.6%; sample: 118Jan 2026: 35.3%; sample: 1192026Feb 2026: 22.2%; sample: 108Mar 2026: 15.0%; sample: 120Apr 2026: 25.6%; sample: 90May 2026: 20.2%; sample: 94Jun 2026: 36.7%; sample: 90Pandemic 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 201831.6% of 174 movements
Feb 201825.5% of 165 movements
Mar 201834.3% of 181 movements
Apr 201823.7% of 169 movements
May 201830.4% of 168 movements
Jun 201837.7% of 162 movements
Jul 201829.1% of 172 movements
Aug 201823.0% of 174 movements
Sep 201833.3% of 165 movements
Oct 201816.6% of 175 movements
Nov 201811.6% of 172 movements
Dec 201827.9% of 154 movements
Jan 201932.4% of 170 movements
Feb 20198.8% of 160 movements
Mar 201932.6% of 172 movements
Apr 201920.6% of 165 movements
May 201931.4% of 172 movements
Jun 201930.9% of 162 movements
Jul 201933.5% of 173 movements
Aug 201927.3% of 172 movements
Sep 201940.1% of 167 movements
Oct 201920.6% of 170 movements
Nov 201917.2% of 145 movements
Dec 201922.6% of 133 movements
Jan 202016.3% of 129 movements
Feb 202033.6% of 143 movements
Mar 202019.1% of 89 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020no events in 26 movements — small sample, not ranked
Jul 20208.1% of 62 movements
Aug 20206.5% of 62 movements
Sep 20203.3% of 61 movements
Oct 2020no events in 59 movements
Nov 20207.3% of 41 movements — small sample, not ranked
Dec 202016.7% of 42 movements — small sample, not ranked
Jan 202136.4% of 33 movements — small sample, not ranked
Feb 202132.0% of 25 movements — small sample, not ranked
Mar 202132.6% of 43 movements — small sample, not ranked
Apr 202147.2% of 36 movements — small sample, not ranked
May 202136.2% of 47 movements — small sample, not ranked
Jun 202135.0% of 60 movements
Jul 202124.6% of 65 movements
Aug 202157.8% of 64 movements
Sep 202149.1% of 55 movements
Oct 202140.3% of 62 movements
Nov 202113.0% of 77 movements
Dec 202118.4% of 76 movements
Jan 202220.7% of 58 movements
Feb 202224.6% of 65 movements
Mar 20227.8% of 77 movements
Apr 202235.5% of 107 movements
May 202228.6% of 119 movements
Jun 202252.5% of 118 movements
Jul 202253.8% of 104 movements
Aug 202238.1% of 97 movements
Sep 202245.5% of 99 movements
Oct 202234.0% of 100 movements
Nov 202231.1% of 135 movements
Dec 202262.1% of 132 movements
Jan 202329.4% of 109 movements
Feb 202332.4% of 105 movements
Mar 202344.4% of 117 movements
Apr 202321.0% of 100 movements
May 202329.6% of 108 movements
Jun 202348.5% of 101 movements
Jul 202349.1% of 112 movements
Aug 202354.1% of 109 movements
Sep 202357.5% of 106 movements
Oct 202341.4% of 116 movements
Nov 202336.0% of 125 movements
Dec 202357.3% of 124 movements
Jan 202437.6% of 117 movements
Feb 202440.5% of 116 movements
Mar 202427.9% of 122 movements
Apr 202426.1% of 115 movements
May 202413.2% of 106 movements
Jun 202430.0% of 110 movements
Jul 202438.3% of 107 movements
Aug 202425.2% of 107 movements
Sep 202420.2% of 104 movements
Oct 202421.1% of 109 movements
Nov 202426.4% of 125 movements
Dec 202428.0% of 125 movements
Jan 202529.3% of 116 movements
Feb 202511.8% of 110 movements
Mar 202512.1% of 124 movements
Apr 202527.7% of 119 movements
May 202524.1% of 116 movements
Jun 202527.0% of 111 movements
Jul 202526.9% of 119 movements
Aug 202539.8% of 123 movements
Sep 202542.0% of 112 movements
Oct 202533.1% of 118 movements
Nov 202515.3% of 124 movements
Dec 202518.6% of 118 movements
Jan 202635.3% of 119 movements
Feb 202622.2% of 108 movements
Mar 202615.0% of 120 movements
Apr 202625.6% of 90 movements
May 202620.2% of 94 movements
Jun 202636.7% of 90 movements

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 2020Arrivalsno events in 26 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departures7.7% of 26 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals53.8% of 104 movements31.1% across 943 flightsreturned after 6 months
Summer 2022 breakdown · Jul 2022Departures64.4% of 118 movements27.9% across 943 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals54.1% of 109 movements38.8% across 1,315 flightsreturned after 3 months
NATS system failure · Aug 2023Departures53.2% of 109 movements37.8% across 1,313 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals12.1% of 124 movements24.8% across 1,356 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Departures17.7% of 124 movements32.5% across 1,358 flightsreturned after 2 months
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?

September has historically been the hardest month on this route: in a typical September, 41.0% of arrivals were disrupted, measured across 6 Septembers in the archive. November has been the calmest, at 21.8% across 6 Novembers.

Even September has ranged from 20.2% to 57.5% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201932.4% of 170 movements8.8% of 160 movements32.6% of 172 movements20.6% of 165 movements31.4% of 172 movements30.9% of 162 movements33.5% of 173 movements27.3% of 172 movements40.1% of 167 movements20.6% of 170 movements17.2% of 145 movements22.6% of 133 movements202016.3% of 129 movements33.6% of 143 movements19.1% of 89 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno events in 26 movements †8.1% of 62 movements6.5% of 62 movements3.3% of 61 movementsno events in 59 movements7.3% of 41 movements †16.7% of 42 movements †202136.4% of 33 movements †32.0% of 25 movements †32.6% of 43 movements †47.2% of 36 movements †36.2% of 47 movements †35.0% of 60 movements24.6% of 65 movements57.8% of 64 movements49.1% of 55 movements40.3% of 62 movements13.0% of 77 movements18.4% of 76 movements202220.7% of 58 movements24.6% of 65 movements7.8% of 77 movements35.5% of 107 movements28.6% of 119 movements52.5% of 118 movements53.8% of 104 movements38.1% of 97 movements45.5% of 99 movements34.0% of 100 movements31.1% of 135 movements62.1% of 132 movements202329.4% of 109 movements32.4% of 105 movements44.4% of 117 movements21.0% of 100 movements29.6% of 108 movements48.5% of 101 movements49.1% of 112 movements54.1% of 109 movements57.5% of 106 movements41.4% of 116 movements36.0% of 125 movements57.3% of 124 movements202437.6% of 117 movements40.5% of 116 movements27.9% of 122 movements26.1% of 115 movements13.2% of 106 movements30.0% of 110 movements38.3% of 107 movements25.2% of 107 movements20.2% of 104 movements21.1% of 109 movements26.4% of 125 movements28.0% of 125 movements202529.3% of 116 movements11.8% of 110 movements12.1% of 124 movements27.7% of 119 movements24.1% of 116 movements27.0% of 111 movements26.9% of 119 movements39.8% of 123 movements42.0% of 112 movements33.1% of 118 movements15.3% of 124 movements18.6% of 118 movements202635.3% of 119 movements22.2% of 108 movements15.0% of 120 movements25.6% of 90 movements20.2% of 94 movements36.7% of 90 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan31.6%20.7–37.6%7 months, 863 flights
Feb24.6%8.8–40.5%7 months, 829 flights
Mar27.9%7.8–44.4%7 months, 913 flights
Apr25.6%20.6–35.5%7 months, 865 flights
May28.6%13.2–31.4%7 months, 883 flights
Jun36.7%27.0–52.5%7 months, 854 flights
Jul35.9%26.9–53.8%6 months, 787 flights
Aug32.7%23.0–54.1%6 months, 782 flights
Sep41.0%20.2–57.5%6 months, 753 flights
Oct27.1%16.6–41.4%6 months, 788 flights
Nov21.8%11.6–36.0%6 months, 826 flights
Dec28.0%18.6–62.1%6 months, 786 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: Lufthansa City Airlines 20.9% of 91 movements, Lufthansa 28.0% of 1,244 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 optionLufthansa28.0% of 1,244 flightsLufthansa City Airlines20.9% of 91 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Airtanker Servicessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
British Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Condorsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Emiratessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Eurowings Luftverkehrssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lufthansa1,24428.0% of 1,244 movements3.0% of 1,244 movements0.1% of 1,244 movementsdescriptive comparison
Lufthansa City Airlines9120.9% of 91 movements2.2% of 91 movementsno events in 91 movementsdescriptive comparison
Ryanairsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Thomas Cook Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Titan Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Tui Airwayssuppressed: 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, LCY had the lowest disruption share at 19.9% of 1,133 movements and NCL the highest at 32.7% of 245 movements. This route sits at 27.5% of 1,335 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 flightsLcy ↔ Frankfurt-Main19.9% of 1,133 flightsLgw ↔ Frankfurt-Main20.1% of 273 flightsLhr ↔ Frankfurt-Main24.8% of 5,415 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
Lcy ↔ Frankfurt-Main1,13319.9% of 1,133 movements2.9% of 1,133 movements0.3% of 1,133 movementsdescriptive comparison
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
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 MAN ran 27.5% of 1,335 movements disrupted, departures 39.4% of 1,334 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 MAN27.5% of 1,335 movements2.9% of 1,335 movements0.1% of 1,335 movements
Departures from MAN39.4% of 1,334 movements2.8% of 1,334 movements0.1% of 1,334 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 20269 flights out of 11,2869 × £220 = £1,980
ArrivalsLast 72 months · Jul 2020–Jun 20266 flights out of 6,9076 × £220 = £1,320
DeparturesWhole archive · Jan 2018–Jun 202627 flights out of 11,29227 × £220 = £5,940
DeparturesLast 72 months · Jul 2020–Jun 202620 flights out of 6,92020 × £220 = £4,400
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 airportMANCHESTER · MAN
Final point / countryFRANKFURT MAIN / GERMANY
Final point codesFRA / EDDF
Great-circle distance832 km
Maximum statutory amount for the band£220
Average operated arrivals per day3.55
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 archive100

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: 1,335; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

27.5% of 1,335 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 1,335 movements in the same window.

How many delays crossed three hours?

0.1% of 1,335 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?

832 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

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