UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

MAN ↔ NEW YORK JF KENNEDY

In the twelve months from July 2025 to June 2026, 29.2% of 514 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, 70.8% of 514 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 73 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, 29.2% of 514 movements were disrupted and 6.0% of 514 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
29.2% of 514 movements6.0% of 514 movements35.8–66.3 min; N of delayed flights=119–207514
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: 6.0% of 514 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 min23.2%30 min16.1%60 min7.6%120 min2.5%180 min1.4%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min23.2% of 514 movements1194.3
>30 min16.1% of 514 movements836.2
>60 min7.6% of 514 movements3913.2
>120 min2.5% of 514 movements1339.5
>180 min1.4% of 514 movements773.4
>360 minno events in 514 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?

This route runs late less often than most, but when it does go wrong it tends to go badly wrong: its long delays are heavier 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 early14428.0%15–1 early13225.7%0–15 late8817.1%16–30367.0%31–60448.6%61…120265.1%121…18061.2%181…36071.4%>36000.0%D=514
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0875; 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 2018, 5.0% of 60 movements. Worst month: Jul 2023, 52.5% of 61 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: 48.4%; sample: 312018Feb 2018: 25.0%; sample: 24Mar 2018: 50.0%; sample: 30Apr 2018: 16.3%; sample: 49May 2018: 24.1%; sample: 58Jun 2018: 38.3%; sample: 60Jul 2018: 33.9%; sample: 62Aug 2018: 23.8%; sample: 63Sep 2018: 18.0%; sample: 61Oct 2018: 5.0%; sample: 60Nov 2018: 61.3%; sample: 31Dec 2018: 59.4%; sample: 32Jan 2019: 55.6%; sample: 272019Feb 2019: 37.5%; sample: 24Mar 2019: 32.1%; sample: 28Apr 2019: 26.9%; sample: 52May 2019: 37.5%; sample: 56Jun 2019: 51.8%; sample: 56Jul 2019: 38.7%; sample: 62Aug 2019: 35.5%; sample: 62Sep 2019: 30.8%; sample: 52Oct 2019: 22.6%; sample: 31Nov 2019: 0.0%; sample: 30Dec 2019: 18.5%; sample: 27Jan 2020: 3.2%; sample: 312020Feb 2020: 0.0%; sample: 29Mar 2020: 19.0%; sample: 21Apr 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: suppressed: fewer than twenty movements×Oct 2020: suppressed: fewer than twenty movements×Nov 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: no data×May 2021: no data×Jun 2021: no data×Jul 2021: no data×Aug 2021: no data×Sep 2021: no data×Oct 2021: no data×Nov 2021: suppressed: fewer than twenty movements×Dec 2021: 16.7%; sample: 60Jan 2022: 13.1%; sample: 612022Feb 2022: 27.8%; sample: 54Mar 2022: 15.3%; sample: 59Apr 2022: 16.7%; sample: 60May 2022: 24.6%; sample: 61Jun 2022: 23.3%; sample: 60Jul 2022: 18.0%; sample: 61Aug 2022: 17.7%; sample: 62Sep 2022: 20.3%; sample: 59Oct 2022: 24.2%; sample: 62Nov 2022: 11.9%; sample: 59Dec 2022: 46.4%; sample: 56Jan 2023: 12.0%; sample: 502023Feb 2023: 10.4%; sample: 48Mar 2023: 30.2%; sample: 53Apr 2023: 38.5%; sample: 52May 2023: 32.7%; sample: 52Jun 2023: 42.1%; sample: 57Jul 2023: 52.5%; sample: 61Aug 2023: 25.0%; sample: 60Sep 2023: 32.3%; sample: 62Oct 2023: 11.3%; sample: 62Nov 2023: 5.8%; sample: 52Dec 2023: 34.0%; sample: 50Jan 2024: 25.9%; sample: 542024Feb 2024: 12.2%; sample: 49Mar 2024: 19.6%; sample: 51Apr 2024: 7.1%; sample: 56May 2024: 9.7%; sample: 62Jun 2024: 26.7%; sample: 60Jul 2024: 31.7%; sample: 60Aug 2024: 31.7%; sample: 60Sep 2024: 21.7%; sample: 60Oct 2024: 8.3%; sample: 60Nov 2024: 16.0%; sample: 50Dec 2024: 34.6%; sample: 52Jan 2025: 34.0%; sample: 502025Feb 2025: 13.6%; sample: 44Mar 2025: 27.3%; sample: 55Apr 2025: 15.8%; sample: 57May 2025: 23.8%; sample: 63Jun 2025: 35.0%; sample: 60Jul 2025: 50.9%; sample: 57Aug 2025: 25.0%; sample: 56Sep 2025: 27.6%; sample: 58Oct 2025: 29.5%; sample: 61Nov 2025: 16.7%; sample: 36Dec 2025: 53.1%; sample: 49Jan 2026: 41.3%; sample: 462026Feb 2026: 23.7%; sample: 38Mar 2026: 13.6%; sample: 22Apr 2026: 6.7%; sample: 30May 2026: 16.1%; sample: 31Jun 2026: 10.0%; sample: 30Pandemic 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 201848.4% of 31 movements — small sample, not ranked
Feb 201825.0% of 24 movements — small sample, not ranked
Mar 201850.0% of 30 movements — small sample, not ranked
Apr 201816.3% of 49 movements — small sample, not ranked
May 201824.1% of 58 movements
Jun 201838.3% of 60 movements
Jul 201833.9% of 62 movements
Aug 201823.8% of 63 movements
Sep 201818.0% of 61 movements
Oct 20185.0% of 60 movements
Nov 201861.3% of 31 movements — small sample, not ranked
Dec 201859.4% of 32 movements — small sample, not ranked
Jan 201955.6% of 27 movements — small sample, not ranked
Feb 201937.5% of 24 movements — small sample, not ranked
Mar 201932.1% of 28 movements — small sample, not ranked
Apr 201926.9% of 52 movements
May 201937.5% of 56 movements
Jun 201951.8% of 56 movements
Jul 201938.7% of 62 movements
Aug 201935.5% of 62 movements
Sep 201930.8% of 52 movements
Oct 201922.6% of 31 movements — small sample, not ranked
Nov 2019no events in 30 movements — small sample, not ranked
Dec 201918.5% of 27 movements — small sample, not ranked
Jan 20203.2% of 31 movements — small sample, not ranked
Feb 2020no events in 29 movements — small sample, not ranked
Mar 202019.0% of 21 movements — small sample, not ranked
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 2020suppressed: fewer than twenty movements
Oct 2020suppressed: fewer than twenty movements
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 2021no data
May 2021no data
Jun 2021no data
Jul 2021no data
Aug 2021no data
Sep 2021no data
Oct 2021no data
Nov 2021suppressed: fewer than twenty movements
Dec 202116.7% of 60 movements
Jan 202213.1% of 61 movements
Feb 202227.8% of 54 movements
Mar 202215.3% of 59 movements
Apr 202216.7% of 60 movements
May 202224.6% of 61 movements
Jun 202223.3% of 60 movements
Jul 202218.0% of 61 movements
Aug 202217.7% of 62 movements
Sep 202220.3% of 59 movements
Oct 202224.2% of 62 movements
Nov 202211.9% of 59 movements
Dec 202246.4% of 56 movements
Jan 202312.0% of 50 movements
Feb 202310.4% of 48 movements — small sample, not ranked
Mar 202330.2% of 53 movements
Apr 202338.5% of 52 movements
May 202332.7% of 52 movements
Jun 202342.1% of 57 movements
Jul 202352.5% of 61 movements
Aug 202325.0% of 60 movements
Sep 202332.3% of 62 movements
Oct 202311.3% of 62 movements
Nov 20235.8% of 52 movements
Dec 202334.0% of 50 movements
Jan 202425.9% of 54 movements
Feb 202412.2% of 49 movements — small sample, not ranked
Mar 202419.6% of 51 movements
Apr 20247.1% of 56 movements
May 20249.7% of 62 movements
Jun 202426.7% of 60 movements
Jul 202431.7% of 60 movements
Aug 202431.7% of 60 movements
Sep 202421.7% of 60 movements
Oct 20248.3% of 60 movements
Nov 202416.0% of 50 movements
Dec 202434.6% of 52 movements
Jan 202534.0% of 50 movements
Feb 202513.6% of 44 movements — small sample, not ranked
Mar 202527.3% of 55 movements
Apr 202515.8% of 57 movements
May 202523.8% of 63 movements
Jun 202535.0% of 60 movements
Jul 202550.9% of 57 movements
Aug 202525.0% of 56 movements
Sep 202527.6% of 58 movements
Oct 202529.5% of 61 movements
Nov 202516.7% of 36 movements — small sample, not ranked
Dec 202553.1% of 49 movements — small sample, not ranked
Jan 202641.3% of 46 movements — small sample, not ranked
Feb 202623.7% of 38 movements — small sample, not ranked
Mar 202613.6% of 22 movements — small sample, not ranked
Apr 20266.7% of 30 movements — small sample, not ranked
May 202616.1% of 31 movements — small sample, not ranked
Jun 202610.0% of 30 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 2022Arrivals18.0% of 61 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures40.7% of 59 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals25.0% of 60 movements28.2% across 671 flightsreturned after 2 months
NATS system failure · Aug 2023Departures23.3% of 60 movements25.0% across 671 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals27.3% of 55 movements21.2% across 665 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures5.7% of 53 movements19.9% across 667 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, 40.5% of arrivals were disrupted, measured across 6 Decembers in the archive. November has been the calmest, at 13.9% across 6 Novembers.

Even December has ranged from 18.5% to 59.4% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201955.6% of 27 movements †37.5% of 24 movements †32.1% of 28 movements †26.9% of 52 movements37.5% of 56 movements51.8% of 56 movements38.7% of 62 movements35.5% of 62 movements30.8% of 52 movements22.6% of 31 movements †no events in 30 movements †18.5% of 27 movements †20203.2% of 31 movements †no events in 29 movements †19.0% of 21 movements †suppressed: 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 movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno datano datano datano datano datano datano datasuppressed: fewer than twenty movements16.7% of 60 movements202213.1% of 61 movements27.8% of 54 movements15.3% of 59 movements16.7% of 60 movements24.6% of 61 movements23.3% of 60 movements18.0% of 61 movements17.7% of 62 movements20.3% of 59 movements24.2% of 62 movements11.9% of 59 movements46.4% of 56 movements202312.0% of 50 movements10.4% of 48 movements †30.2% of 53 movements38.5% of 52 movements32.7% of 52 movements42.1% of 57 movements52.5% of 61 movements25.0% of 60 movements32.3% of 62 movements11.3% of 62 movements5.8% of 52 movements34.0% of 50 movements202425.9% of 54 movements12.2% of 49 movements †19.6% of 51 movements7.1% of 56 movements9.7% of 62 movements26.7% of 60 movements31.7% of 60 movements31.7% of 60 movements21.7% of 60 movements8.3% of 60 movements16.0% of 50 movements34.6% of 52 movements202534.0% of 50 movements13.6% of 44 movements †27.3% of 55 movements15.8% of 57 movements23.8% of 63 movements35.0% of 60 movements50.9% of 57 movements25.0% of 56 movements27.6% of 58 movements29.5% of 61 movements16.7% of 36 movements †53.1% of 49 movements †202641.3% of 46 movements †23.7% of 38 movements †13.6% of 22 movements †6.7% of 30 movements †16.1% of 31 movements †10.0% of 30 movements †no datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan34.0%12.0–55.6%7 months, 319 flights
Feb23.7%10.4–37.5%7 months, 281 flights
Mar27.3%13.6–50.0%7 months, 298 flights
Apr16.3%6.7–38.5%7 months, 356 flights
May24.1%9.7–37.5%7 months, 383 flights
Jun35.0%10.0–51.8%7 months, 383 flights
Jul36.3%18.0–52.5%6 months, 363 flights
Aug25.0%17.7–35.5%6 months, 363 flights
Sep24.6%18.0–32.3%6 months, 352 flights
Oct16.9%5.0–29.5%6 months, 336 flights
Nov13.9%0.0–61.3%6 months, 258 flights
Dec40.5%18.5–59.4%6 months, 266 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: Virgin Atlantic Airways 15.7% of 299 movements, Aer Lingus (Uk) 44.1% of 186 movements, Aer Lingus 72.4% of 29 movements — small sample, not ranked. Observed shares differ; the mix of operations is not matched, so no causal conclusion follows.

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 optionAer Lingus †72.4% of 29 flightsAer Lingus (Uk)44.1% of 186 flightsVirgin Atlantic Airways15.7% of 299 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Aer Lingus2972.4% of 29 movements — small sample, not rankedno events in 29 movements — small sample, not ranked3.4% of 29 movements — small sample, not rankedsmall sample; not ranked
Aer Lingus (Uk)18644.1% of 186 movements14.5% of 186 movements3.2% of 186 movementsdescriptive comparison
American Airlinessuppressed: 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
Delta Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Hi Fly Maltasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Norwegian Air Uksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Pakistan Intl Airlinessuppressed: 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
Thy Turkish Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Virgin Atlantic Airways29915.7% of 299 movements1.3% of 299 movementsno events in 299 movementsdescriptive comparison

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, LHR had the lowest disruption share at 20.6% of 7,462 movements and LGW the highest at 36.4% of 472 movements. This route sits at 29.2% of 514 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 optionEdi ↔ New-York-Jf-Kennedy25.5% of 557 flightsLgw ↔ New-York-Jf-Kennedy36.4% of 472 flightsLhr ↔ New-York-Jf-Kennedy20.6% of 7,462 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bhx ↔ New-York-Jf-Kennedysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Cwl ↔ New-York-Jf-Kennedysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ New-York-Jf-Kennedysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ New-York-Jf-Kennedy55725.5% of 557 movements0.2% of 557 movements0.9% of 557 movementsdescriptive comparison
Gla ↔ New-York-Jf-Kennedysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lcy ↔ New-York-Jf-Kennedysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ New-York-Jf-Kennedy47236.4% of 472 movements4.0% of 472 movements3.2% of 472 movementsdescriptive comparison
Lhr ↔ New-York-Jf-Kennedy7,46220.6% of 7,462 movements2.3% of 7,462 movements0.9% of 7,462 movementsdescriptive comparison
Lpl ↔ New-York-Jf-Kennedysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ New-York-Jf-Kennedysuppressed: 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 29.2% of 514 movements disrupted, departures 22.9% of 519 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 MAN29.2% of 514 movements6.0% of 514 movements1.4% of 514 movements
Departures from MAN22.9% of 519 movements6.2% of 519 movements0.6% of 519 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 202636 flights out of 4,12236 × £520 = £18,720
ArrivalsLast 72 months · Jul 2020–Jun 202624 flights out of 2,97124 × £520 = £12,480
DeparturesWhole archive · Jan 2018–Jun 202634 flights out of 4,13834 × £520 = £17,680
DeparturesLast 72 months · Jul 2020–Jun 202621 flights out of 2,98021 × £520 = £10,920
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 / countryNEW YORK (JF KENNEDY) / USA
Final point codesJFK / KJFK
Great-circle distance5,362 km
Maximum statutory amount for the band£520
Average operated arrivals per day1.32
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 archive86

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: 514; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

29.2% of 514 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

6.0% of 514 movements in the same window.

How many delays crossed three hours?

1.4% of 514 movements in the same window; these are observed movements, not a count of claims.

What does the delay distribution look like?

rare but severe. The class compares the tail with short delays across routes in the corpus.

What distance is used?

5,362 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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