UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ NEW YORK JF KENNEDY

In the twelve months from July 2025 to June 2026, 20.6% of 7,462 movements arriving into LHR were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 79.4% of 7,462 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 115 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, 20.6% of 7,462 movements were disrupted and 2.3% of 7,462 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
20.6% of 7,462 movements2.3% of 7,462 movements32.7–70.0 min; N of delayed flights=1,361–2,6907,462
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: 2.3% of 7,462 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 min18.2%30 min10.3%60 min5.0%120 min1.9%180 min0.9%360 min0.2%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min18.2% of 7,462 movements1,3615.5
>30 min10.3% of 7,462 movements7729.7
>60 min5.0% of 7,462 movements37220.1
>120 min1.9% of 7,462 movements14352.2
>180 min0.9% of 7,462 movements65114.8
>360 min0.2% of 7,462 movements16466.4
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 early2,50433.6%15–1 early2,09528.1%0–15 late1,32917.8%16–305897.9%31–604005.4%61…1202293.1%121…180781.0%181…360490.7%>360160.2%D=7,462
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0657; 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 2020, 3.3% of 152 movements. Worst month: Dec 2022, 52.8% of 511 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: 25.3%; sample: 5582018Feb 2018: 15.0%; sample: 501Mar 2018: 33.3%; sample: 591Apr 2018: 10.7%; sample: 597May 2018: 15.6%; sample: 620Jun 2018: 25.6%; sample: 597Jul 2018: 22.4%; sample: 620Aug 2018: 16.3%; sample: 620Sep 2018: 17.7%; sample: 600Oct 2018: 10.2%; sample: 607Nov 2018: 21.9%; sample: 553Dec 2018: 15.1%; sample: 597Jan 2019: 13.2%; sample: 5612019Feb 2019: 13.5%; sample: 533Mar 2019: 14.2%; sample: 600Apr 2019: 17.3%; sample: 594May 2019: 15.0%; sample: 619Jun 2019: 29.5%; sample: 600Jul 2019: 21.0%; sample: 615Aug 2019: 25.5%; sample: 609Sep 2019: 9.5%; sample: 560Oct 2019: 15.4%; sample: 583Nov 2019: 12.0%; sample: 550Dec 2019: 23.9%; sample: 566Jan 2020: 8.2%; sample: 5352020Feb 2020: 8.9%; sample: 506Mar 2020: 13.5%; sample: 421Apr 2020: 10.2%; sample: 49May 2020: 0.0%; sample: 31Jun 2020: 2.7%; sample: 37Jul 2020: 4.8%; sample: 62Aug 2020: 6.0%; sample: 150Sep 2020: 3.3%; sample: 152Oct 2020: 4.8%; sample: 167Nov 2020: 8.7%; sample: 138Dec 2020: 15.8%; sample: 114Jan 2021: 9.4%; sample: 1172021Feb 2021: 14.7%; sample: 102Mar 2021: 7.3%; sample: 123Apr 2021: 8.3%; sample: 120May 2021: 7.3%; sample: 124Jun 2021: 16.9%; sample: 124Jul 2021: 18.4%; sample: 201Aug 2021: 19.5%; sample: 251Sep 2021: 11.7%; sample: 291Oct 2021: 5.7%; sample: 315Nov 2021: 19.1%; sample: 362Dec 2021: 21.3%; sample: 417Jan 2022: 24.8%; sample: 4112022Feb 2022: 13.6%; sample: 337Mar 2022: 24.9%; sample: 417Apr 2022: 26.1%; sample: 537May 2022: 25.5%; sample: 580Jun 2022: 31.8%; sample: 538Jul 2022: 26.5%; sample: 543Aug 2022: 18.8%; sample: 494Sep 2022: 25.2%; sample: 496Oct 2022: 19.9%; sample: 527Nov 2022: 16.1%; sample: 517Dec 2022: 52.8%; sample: 511Jan 2023: 17.6%; sample: 4952023Feb 2023: 22.6%; sample: 469Mar 2023: 39.2%; sample: 567Apr 2023: 26.8%; sample: 615May 2023: 24.4%; sample: 667Jun 2023: 35.4%; sample: 650Jul 2023: 24.1%; sample: 669Aug 2023: 21.1%; sample: 683Sep 2023: 24.4%; sample: 667Oct 2023: 14.3%; sample: 669Nov 2023: 18.2%; sample: 626Dec 2023: 22.2%; sample: 662Jan 2024: 21.6%; sample: 6022024Feb 2024: 14.1%; sample: 553Mar 2024: 19.1%; sample: 665Apr 2024: 21.3%; sample: 661May 2024: 21.9%; sample: 693Jun 2024: 23.4%; sample: 687Jul 2024: 23.0%; sample: 690Aug 2024: 23.9%; sample: 670Sep 2024: 23.9%; sample: 664Oct 2024: 9.1%; sample: 681Nov 2024: 20.4%; sample: 602Dec 2024: 25.2%; sample: 636Jan 2025: 20.3%; sample: 6022025Feb 2025: 18.3%; sample: 558Mar 2025: 28.3%; sample: 640Apr 2025: 14.0%; sample: 642May 2025: 25.1%; sample: 668Jun 2025: 22.9%; sample: 669Jul 2025: 25.3%; sample: 689Aug 2025: 20.7%; sample: 682Sep 2025: 16.9%; sample: 670Oct 2025: 23.1%; sample: 661Nov 2025: 17.7%; sample: 570Dec 2025: 27.6%; sample: 569Jan 2026: 21.9%; sample: 5532026Feb 2026: 25.7%; sample: 514Mar 2026: 13.0%; sample: 591Apr 2026: 17.4%; sample: 620May 2026: 18.8%; sample: 698Jun 2026: 19.5%; sample: 645Pandemic 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 201825.3% of 558 movements
Feb 201815.0% of 501 movements
Mar 201833.3% of 591 movements
Apr 201810.7% of 597 movements
May 201815.6% of 620 movements
Jun 201825.6% of 597 movements
Jul 201822.4% of 620 movements
Aug 201816.3% of 620 movements
Sep 201817.7% of 600 movements
Oct 201810.2% of 607 movements
Nov 201821.9% of 553 movements
Dec 201815.1% of 597 movements
Jan 201913.2% of 561 movements
Feb 201913.5% of 533 movements
Mar 201914.2% of 600 movements
Apr 201917.3% of 594 movements
May 201915.0% of 619 movements
Jun 201929.5% of 600 movements
Jul 201921.0% of 615 movements
Aug 201925.5% of 609 movements
Sep 20199.5% of 560 movements
Oct 201915.4% of 583 movements
Nov 201912.0% of 550 movements
Dec 201923.9% of 566 movements
Jan 20208.2% of 535 movements
Feb 20208.9% of 506 movements
Mar 202013.5% of 421 movements
Apr 202010.2% of 49 movements — small sample, not ranked
May 2020no events in 31 movements — small sample, not ranked
Jun 20202.7% of 37 movements — small sample, not ranked
Jul 20204.8% of 62 movements
Aug 20206.0% of 150 movements
Sep 20203.3% of 152 movements
Oct 20204.8% of 167 movements
Nov 20208.7% of 138 movements
Dec 202015.8% of 114 movements
Jan 20219.4% of 117 movements
Feb 202114.7% of 102 movements
Mar 20217.3% of 123 movements
Apr 20218.3% of 120 movements
May 20217.3% of 124 movements
Jun 202116.9% of 124 movements
Jul 202118.4% of 201 movements
Aug 202119.5% of 251 movements
Sep 202111.7% of 291 movements
Oct 20215.7% of 315 movements
Nov 202119.1% of 362 movements
Dec 202121.3% of 417 movements
Jan 202224.8% of 411 movements
Feb 202213.6% of 337 movements
Mar 202224.9% of 417 movements
Apr 202226.1% of 537 movements
May 202225.5% of 580 movements
Jun 202231.8% of 538 movements
Jul 202226.5% of 543 movements
Aug 202218.8% of 494 movements
Sep 202225.2% of 496 movements
Oct 202219.9% of 527 movements
Nov 202216.1% of 517 movements
Dec 202252.8% of 511 movements
Jan 202317.6% of 495 movements
Feb 202322.6% of 469 movements
Mar 202339.2% of 567 movements
Apr 202326.8% of 615 movements
May 202324.4% of 667 movements
Jun 202335.4% of 650 movements
Jul 202324.1% of 669 movements
Aug 202321.1% of 683 movements
Sep 202324.4% of 667 movements
Oct 202314.3% of 669 movements
Nov 202318.2% of 626 movements
Dec 202322.2% of 662 movements
Jan 202421.6% of 602 movements
Feb 202414.1% of 553 movements
Mar 202419.1% of 665 movements
Apr 202421.3% of 661 movements
May 202421.9% of 693 movements
Jun 202423.4% of 687 movements
Jul 202423.0% of 690 movements
Aug 202423.9% of 670 movements
Sep 202423.9% of 664 movements
Oct 20249.1% of 681 movements
Nov 202420.4% of 602 movements
Dec 202425.2% of 636 movements
Jan 202520.3% of 602 movements
Feb 202518.3% of 558 movements
Mar 202528.3% of 640 movements
Apr 202514.0% of 642 movements
May 202525.1% of 668 movements
Jun 202522.9% of 669 movements
Jul 202525.3% of 689 movements
Aug 202520.7% of 682 movements
Sep 202516.9% of 670 movements
Oct 202523.1% of 661 movements
Nov 202517.7% of 570 movements
Dec 202527.6% of 569 movements
Jan 202621.9% of 553 movements
Feb 202625.7% of 514 movements
Mar 202613.0% of 591 movements
Apr 202617.4% of 620 movements
May 202618.8% of 698 movements
Jun 202619.5% of 645 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 2020Arrivals2.7% of 37 movements — small sample, not ranked14.8% across 5,625 flightsreturned the next month
Pandemic regime · Jun 2020Departures21.6% of 37 movements — small sample, not ranked21.2% across 5,625 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Arrivals26.5% of 543 movements20.2% across 4,657 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Departures53.5% of 546 movements29.2% across 4,650 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals21.1% of 683 movements26.9% across 6,677 flightsreturned the next month
NATS system failure · Aug 2023Departures26.3% of 688 movements30.5% across 6,696 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals28.3% of 640 movements20.8% across 7,809 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures23.3% of 648 movements22.2% across 7,832 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?

June has historically been the hardest month on this route: in a typical June, 25.6% of arrivals were disrupted, measured across 7 Junes in the archive. October has been the calmest, at 14.9% across 6 Octobers.

Even June has ranged from 19.5% to 35.4% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201913.2% of 561 movements13.5% of 533 movements14.2% of 600 movements17.3% of 594 movements15.0% of 619 movements29.5% of 600 movements21.0% of 615 movements25.5% of 609 movements9.5% of 560 movements15.4% of 583 movements12.0% of 550 movements23.9% of 566 movements20208.2% of 535 movements8.9% of 506 movements13.5% of 421 movements10.2% of 49 movements †no events in 31 movements †2.7% of 37 movements †4.8% of 62 movements6.0% of 150 movements3.3% of 152 movements4.8% of 167 movements8.7% of 138 movements15.8% of 114 movements20219.4% of 117 movements14.7% of 102 movements7.3% of 123 movements8.3% of 120 movements7.3% of 124 movements16.9% of 124 movements18.4% of 201 movements19.5% of 251 movements11.7% of 291 movements5.7% of 315 movements19.1% of 362 movements21.3% of 417 movements202224.8% of 411 movements13.6% of 337 movements24.9% of 417 movements26.1% of 537 movements25.5% of 580 movements31.8% of 538 movements26.5% of 543 movements18.8% of 494 movements25.2% of 496 movements19.9% of 527 movements16.1% of 517 movements52.8% of 511 movements202317.6% of 495 movements22.6% of 469 movements39.2% of 567 movements26.8% of 615 movements24.4% of 667 movements35.4% of 650 movements24.1% of 669 movements21.1% of 683 movements24.4% of 667 movements14.3% of 669 movements18.2% of 626 movements22.2% of 662 movements202421.6% of 602 movements14.1% of 553 movements19.1% of 665 movements21.3% of 661 movements21.9% of 693 movements23.4% of 687 movements23.0% of 690 movements23.9% of 670 movements23.9% of 664 movements9.1% of 681 movements20.4% of 602 movements25.2% of 636 movements202520.3% of 602 movements18.3% of 558 movements28.3% of 640 movements14.0% of 642 movements25.1% of 668 movements22.9% of 669 movements25.3% of 689 movements20.7% of 682 movements16.9% of 670 movements23.1% of 661 movements17.7% of 570 movements27.6% of 569 movements202621.9% of 553 movements25.7% of 514 movements13.0% of 591 movements17.4% of 620 movements18.8% of 698 movements19.5% of 645 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan21.6%13.2–25.3%7 months, 3,782 flights
Feb15.0%13.5–25.7%7 months, 3,465 flights
Mar24.9%13.0–39.2%7 months, 4,071 flights
Apr17.4%10.7–26.8%7 months, 4,266 flights
May21.9%15.0–25.5%7 months, 4,545 flights
Jun25.6%19.5–35.4%7 months, 4,386 flights
Jul23.6%21.0–26.5%6 months, 3,826 flights
Aug20.9%16.3–25.5%6 months, 3,758 flights
Sep20.8%9.5–25.2%6 months, 3,657 flights
Oct14.9%9.1–23.1%6 months, 3,728 flights
Nov18.0%12.0–21.9%6 months, 3,418 flights
Dec24.5%15.1–52.8%6 months, 3,541 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: British Airways 17.5% of 2,931 movements, Jetblue Airways 20.9% of 731 movements, Virgin Atlantic Airways 21.3% of 1,813 movements. 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 optionAmerican Airlines22.8% of 1,204 flightsBritish Airways17.5% of 2,931 flightsDelta Airlines26.5% of 733 flightsJetblue Airways20.9% of 731 flightsVirgin Atlantic Airways21.3% of 1,813 flightsVirgin Atlantic International24.0% of 50 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
(Ita) Italia Traspoto Aereosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Air Indiasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
American Airlines1,20422.8% of 1,204 movements2.9% of 1,204 movements2.7% of 1,204 movementsdescriptive comparison
British Airways2,93117.5% of 2,931 movements2.2% of 2,931 movements0.2% of 2,931 movementsdescriptive comparison
Delta Airlines73326.5% of 733 movements1.9% of 733 movements1.9% of 733 movementsdescriptive comparison
Etihad Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jetblue Airways73120.9% of 731 movements1.1% of 731 movements0.3% of 731 movementsdescriptive comparison
Kuwait Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Saudi Arabian Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Singapore 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 Airways1,81321.3% of 1,813 movements2.9% of 1,813 movements0.4% of 1,813 movementsdescriptive comparison
Virgin Atlantic International5024.0% of 50 movementsno events in 50 movements2.0% of 50 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, EDI had the lowest disruption share at 25.5% of 557 movements and LGW the highest at 36.4% of 472 movements. This route sits at 20.6% of 7,462 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 flightsMan ↔ New-York-Jf-Kennedy29.2% of 514 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
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
Man ↔ New-York-Jf-Kennedy51429.2% of 514 movements6.0% of 514 movements1.4% of 514 movementsdescriptive comparison

Does the direction you are flying change anything?

Barely: arrivals into LHR ran 20.6% of 7,462 movements disrupted, departures 20.5% of 7,505 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 LHR20.6% of 7,462 movements2.3% of 7,462 movements0.9% of 7,462 movements
Departures from LHR20.5% of 7,505 movements2.9% of 7,505 movements0.8% of 7,505 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 2026384 flights out of 51,352384 × £520 = £199,680
ArrivalsLast 72 months · Jul 2020–Jun 2026252 flights out of 35,722252 × £520 = £131,040
DeparturesWhole archive · Jan 2018–Jun 2026361 flights out of 51,468361 × £520 = £187,720
DeparturesLast 72 months · Jul 2020–Jun 2026269 flights out of 35,829269 × £520 = £139,880
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 airportHEATHROW · LHR
Final point / countryNEW YORK (JF KENNEDY) / USA
Final point codesJFK / KJFK
Great-circle distance5,540 km
Maximum statutory amount for the band£520
Average operated arrivals per day19.97
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 archive102

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: 7,462; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

20.6% of 7,462 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

2.3% of 7,462 movements in the same window.

How many delays crossed three hours?

0.9% of 7,462 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?

5,540 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.

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Reconstruction and formulas

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