UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ DUBLIN

In the twelve months from July 2025 to June 2026, 24.3% of 6,195 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, 75.7% of 6,195 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 516 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, 24.3% of 6,195 movements were disrupted and 1.0% of 6,195 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
24.3% of 6,195 movements1.0% of 6,195 movements20.6–49.0 min; N of delayed flights=1,447–3,1376,195
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: 1.0% of 6,195 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 min23.4%30 min11.0%60 min3.6%120 min0.8%180 min0.2%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min23.4% of 6,195 movements1,4474.3
>30 min11.0% of 6,195 movements6829.1
>60 min3.6% of 6,195 movements22627.4
>120 min0.8% of 6,195 movements48129.1
>180 min0.2% of 6,195 movements12516.2
>360 minno events in 6,195 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 early66810.8%15–1 early2,32937.6%0–15 late1,69027.3%16–3076512.3%31–604567.4%61…1201782.9%121…180360.6%181…360120.2%>36000.0%D=6,195
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0098; 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: May 2020, no events in 77 movements. Worst month: Dec 2022, 52.4% of 492 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: 13.3%; sample: 5332018Feb 2018: 13.2%; sample: 515Mar 2018: 25.1%; sample: 598Apr 2018: 29.4%; sample: 602May 2018: 28.4%; sample: 637Jun 2018: 25.3%; sample: 594Jul 2018: 21.1%; sample: 588Aug 2018: 15.2%; sample: 572Sep 2018: 21.1%; sample: 584Oct 2018: 30.6%; sample: 630Nov 2018: 39.7%; sample: 542Dec 2018: 36.6%; sample: 555Jan 2019: 6.0%; sample: 5292019Feb 2019: 19.2%; sample: 501Mar 2019: 29.7%; sample: 575Apr 2019: 27.1%; sample: 619May 2019: 21.1%; sample: 631Jun 2019: 39.8%; sample: 585Jul 2019: 27.3%; sample: 609Aug 2019: 28.9%; sample: 599Sep 2019: 32.2%; sample: 583Oct 2019: 23.9%; sample: 614Nov 2019: 18.0%; sample: 543Dec 2019: 21.1%; sample: 563Jan 2020: 9.6%; sample: 5192020Feb 2020: 33.1%; sample: 510Mar 2020: 9.9%; sample: 467Apr 2020: 2.7%; sample: 73May 2020: 0.0%; sample: 77Jun 2020: 0.0%; sample: 89Jul 2020: 0.0%; sample: 154Aug 2020: 1.8%; sample: 109Sep 2020: 1.1%; sample: 90Oct 2020: 1.3%; sample: 150Nov 2020: 3.9%; sample: 77Dec 2020: 5.8%; sample: 120Jan 2021: 3.8%; sample: 1062021Feb 2021: 3.1%; sample: 64Mar 2021: 0.0%; sample: 71Apr 2021: 4.8%; sample: 83May 2021: 2.0%; sample: 98Jun 2021: 1.6%; sample: 125Jul 2021: 3.7%; sample: 161Aug 2021: 2.2%; sample: 185Sep 2021: 4.2%; sample: 189Oct 2021: 4.4%; sample: 227Nov 2021: 5.4%; sample: 314Dec 2021: 13.4%; sample: 335Jan 2022: 4.3%; sample: 2822022Feb 2022: 19.0%; sample: 294Mar 2022: 16.5%; sample: 417Apr 2022: 17.8%; sample: 489May 2022: 28.4%; sample: 521Jun 2022: 49.2%; sample: 490Jul 2022: 41.1%; sample: 409Aug 2022: 33.9%; sample: 457Sep 2022: 35.3%; sample: 465Oct 2022: 28.1%; sample: 488Nov 2022: 30.8%; sample: 494Dec 2022: 52.4%; sample: 492Jan 2023: 27.2%; sample: 4862023Feb 2023: 21.7%; sample: 433Mar 2023: 39.4%; sample: 513Apr 2023: 23.8%; sample: 526May 2023: 34.7%; sample: 536Jun 2023: 45.1%; sample: 512Jul 2023: 39.7%; sample: 539Aug 2023: 34.6%; sample: 543Sep 2023: 44.5%; sample: 512Oct 2023: 31.9%; sample: 523Nov 2023: 24.6%; sample: 532Dec 2023: 41.2%; sample: 519Jan 2024: 14.4%; sample: 4872024Feb 2024: 23.1%; sample: 516Mar 2024: 38.0%; sample: 553Apr 2024: 33.4%; sample: 586May 2024: 50.2%; sample: 606Jun 2024: 35.9%; sample: 554Jul 2024: 37.7%; sample: 576Aug 2024: 37.3%; sample: 612Sep 2024: 51.2%; sample: 590Oct 2024: 35.4%; sample: 593Nov 2024: 28.6%; sample: 479Dec 2024: 48.4%; sample: 467Jan 2025: 28.2%; sample: 4862025Feb 2025: 13.6%; sample: 442Mar 2025: 24.2%; sample: 487Apr 2025: 13.1%; sample: 496May 2025: 18.4%; sample: 499Jun 2025: 27.2%; sample: 492Jul 2025: 24.8%; sample: 521Aug 2025: 20.5%; sample: 531Sep 2025: 39.3%; sample: 521Oct 2025: 28.2%; sample: 536Nov 2025: 20.9%; sample: 497Dec 2025: 31.6%; sample: 487Jan 2026: 19.6%; sample: 5092026Feb 2026: 15.8%; sample: 450Mar 2026: 20.9%; sample: 502Apr 2026: 12.8%; sample: 545May 2026: 21.7%; sample: 545Jun 2026: 34.8%; sample: 551Pandemic 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 201813.3% of 533 movements
Feb 201813.2% of 515 movements
Mar 201825.1% of 598 movements
Apr 201829.4% of 602 movements
May 201828.4% of 637 movements
Jun 201825.3% of 594 movements
Jul 201821.1% of 588 movements
Aug 201815.2% of 572 movements
Sep 201821.1% of 584 movements
Oct 201830.6% of 630 movements
Nov 201839.7% of 542 movements
Dec 201836.6% of 555 movements
Jan 20196.0% of 529 movements
Feb 201919.2% of 501 movements
Mar 201929.7% of 575 movements
Apr 201927.1% of 619 movements
May 201921.1% of 631 movements
Jun 201939.8% of 585 movements
Jul 201927.3% of 609 movements
Aug 201928.9% of 599 movements
Sep 201932.2% of 583 movements
Oct 201923.9% of 614 movements
Nov 201918.0% of 543 movements
Dec 201921.1% of 563 movements
Jan 20209.6% of 519 movements
Feb 202033.1% of 510 movements
Mar 20209.9% of 467 movements
Apr 20202.7% of 73 movements
May 2020no events in 77 movements
Jun 2020no events in 89 movements
Jul 2020no events in 154 movements
Aug 20201.8% of 109 movements
Sep 20201.1% of 90 movements
Oct 20201.3% of 150 movements
Nov 20203.9% of 77 movements
Dec 20205.8% of 120 movements
Jan 20213.8% of 106 movements
Feb 20213.1% of 64 movements
Mar 2021no events in 71 movements
Apr 20214.8% of 83 movements
May 20212.0% of 98 movements
Jun 20211.6% of 125 movements
Jul 20213.7% of 161 movements
Aug 20212.2% of 185 movements
Sep 20214.2% of 189 movements
Oct 20214.4% of 227 movements
Nov 20215.4% of 314 movements
Dec 202113.4% of 335 movements
Jan 20224.3% of 282 movements
Feb 202219.0% of 294 movements
Mar 202216.5% of 417 movements
Apr 202217.8% of 489 movements
May 202228.4% of 521 movements
Jun 202249.2% of 490 movements
Jul 202241.1% of 409 movements
Aug 202233.9% of 457 movements
Sep 202235.3% of 465 movements
Oct 202228.1% of 488 movements
Nov 202230.8% of 494 movements
Dec 202252.4% of 492 movements
Jan 202327.2% of 486 movements
Feb 202321.7% of 433 movements
Mar 202339.4% of 513 movements
Apr 202323.8% of 526 movements
May 202334.7% of 536 movements
Jun 202345.1% of 512 movements
Jul 202339.7% of 539 movements
Aug 202334.6% of 543 movements
Sep 202344.5% of 512 movements
Oct 202331.9% of 523 movements
Nov 202324.6% of 532 movements
Dec 202341.2% of 519 movements
Jan 202414.4% of 487 movements
Feb 202423.1% of 516 movements
Mar 202438.0% of 553 movements
Apr 202433.4% of 586 movements
May 202450.2% of 606 movements
Jun 202435.9% of 554 movements
Jul 202437.7% of 576 movements
Aug 202437.3% of 612 movements
Sep 202451.2% of 590 movements
Oct 202435.4% of 593 movements
Nov 202428.6% of 479 movements
Dec 202448.4% of 467 movements
Jan 202528.2% of 486 movements
Feb 202513.6% of 442 movements
Mar 202524.2% of 487 movements
Apr 202513.1% of 496 movements
May 202518.4% of 499 movements
Jun 202527.2% of 492 movements
Jul 202524.8% of 521 movements
Aug 202520.5% of 531 movements
Sep 202539.3% of 521 movements
Oct 202528.2% of 536 movements
Nov 202520.9% of 497 movements
Dec 202531.6% of 487 movements
Jan 202619.6% of 509 movements
Feb 202615.8% of 450 movements
Mar 202620.9% of 502 movements
Apr 202612.8% of 545 movements
May 202621.7% of 545 movements
Jun 202634.8% of 551 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 89 movements20.6% across 5,742 flightsreturned the next month
Pandemic regime · Jun 2020Departures1.1% of 89 movements18.7% across 5,736 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Arrivals41.1% of 409 movements14.1% across 3,904 flightsstill above it 8 months later
Summer 2022 breakdown · Jul 2022Departures51.7% of 410 movements19.9% across 3,891 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals34.6% of 543 movements34.3% across 5,941 flightsreturned after 2 months
NATS system failure · Aug 2023Departures43.1% of 543 movements38.5% across 5,939 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals24.2% of 487 movements36.5% across 6,544 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures26.5% of 487 movements32.9% across 6,540 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, 38.9% of arrivals were disrupted, measured across 6 Decembers in the archive. January has been the calmest, at 14.4% across 7 Januarys.

Even December has ranged from 21.1% to 52.4% 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 nJanFebMarAprMayJunJulAugSepOctNovDec20196.0% of 529 movements19.2% of 501 movements29.7% of 575 movements27.1% of 619 movements21.1% of 631 movements39.8% of 585 movements27.3% of 609 movements28.9% of 599 movements32.2% of 583 movements23.9% of 614 movements18.0% of 543 movements21.1% of 563 movements20209.6% of 519 movements33.1% of 510 movements9.9% of 467 movements2.7% of 73 movementsno events in 77 movementsno events in 89 movementsno events in 154 movements1.8% of 109 movements1.1% of 90 movements1.3% of 150 movements3.9% of 77 movements5.8% of 120 movements20213.8% of 106 movements3.1% of 64 movementsno events in 71 movements4.8% of 83 movements2.0% of 98 movements1.6% of 125 movements3.7% of 161 movements2.2% of 185 movements4.2% of 189 movements4.4% of 227 movements5.4% of 314 movements13.4% of 335 movements20224.3% of 282 movements19.0% of 294 movements16.5% of 417 movements17.8% of 489 movements28.4% of 521 movements49.2% of 490 movements41.1% of 409 movements33.9% of 457 movements35.3% of 465 movements28.1% of 488 movements30.8% of 494 movements52.4% of 492 movements202327.2% of 486 movements21.7% of 433 movements39.4% of 513 movements23.8% of 526 movements34.7% of 536 movements45.1% of 512 movements39.7% of 539 movements34.6% of 543 movements44.5% of 512 movements31.9% of 523 movements24.6% of 532 movements41.2% of 519 movements202414.4% of 487 movements23.1% of 516 movements38.0% of 553 movements33.4% of 586 movements50.2% of 606 movements35.9% of 554 movements37.7% of 576 movements37.3% of 612 movements51.2% of 590 movements35.4% of 593 movements28.6% of 479 movements48.4% of 467 movements202528.2% of 486 movements13.6% of 442 movements24.2% of 487 movements13.1% of 496 movements18.4% of 499 movements27.2% of 492 movements24.8% of 521 movements20.5% of 531 movements39.3% of 521 movements28.2% of 536 movements20.9% of 497 movements31.6% of 487 movements202619.6% of 509 movements15.8% of 450 movements20.9% of 502 movements12.8% of 545 movements21.7% of 545 movements34.8% of 551 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan14.4%4.3–28.2%7 months, 3,312 flights
Feb19.0%13.2–23.1%7 months, 3,151 flights
Mar25.1%16.5–39.4%7 months, 3,645 flights
Apr23.8%12.8–33.4%7 months, 3,863 flights
May28.4%18.4–50.2%7 months, 3,975 flights
Jun35.9%25.3–49.2%7 months, 3,778 flights
Jul32.5%21.1–41.1%6 months, 3,242 flights
Aug31.4%15.2–37.3%6 months, 3,314 flights
Sep37.3%21.1–51.2%6 months, 3,255 flights
Oct29.4%23.9–35.4%6 months, 3,384 flights
Nov26.6%18.0–39.7%6 months, 3,087 flights
Dec38.9%21.1–52.4%6 months, 3,083 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: Aer Lingus 23.6% of 3,998 movements, British Airways 25.6% of 2,196 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 optionAer Lingus23.6% of 3,998 flightsBritish Airways25.6% of 2,196 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Aer Lingus3,99823.6% of 3,998 movements0.6% of 3,998 movements0.1% of 3,998 movementsdescriptive comparison
Air Francesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ba Euroflyer British Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
British Airways2,19625.6% of 2,196 movements1.8% of 2,196 movements0.4% of 2,196 movementsdescriptive comparison
City Jetsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ethiopian Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
German Airways & Co Kgsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
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, LCY had the lowest disruption share at 15.8% of 1,704 movements and JER the highest at 44.4% of 99 movements. This route sits at 24.3% of 6,195 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 optionAbz ↔ Dublin29.4% of 732 flightsBhx ↔ Dublin24.2% of 3,869 flightsBrs ↔ Dublin26.6% of 2,114 flightsCwl ↔ Dublin24.9% of 357 flightsEdi ↔ Dublin28.3% of 4,022 flightsEma ↔ Dublin20.7% of 532 flightsExt ↔ Dublin22.1% of 281 flightsGla ↔ Dublin20.8% of 2,825 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Dublin73229.4% of 732 movements2.7% of 732 movements1.0% of 732 movementsdescriptive comparison
Bfs ↔ Dublinsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Dublinsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Dublin3,86924.2% of 3,869 movements1.3% of 3,869 movements0.5% of 3,869 movementsdescriptive comparison
Boh ↔ Dublinsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Dublin2,11426.6% of 2,114 movements0.8% of 2,114 movements0.3% of 2,114 movementsdescriptive comparison
Cwl ↔ Dublin35724.9% of 357 movementsno events in 357 movementsno events in 357 movementsdescriptive comparison
Doncaster-Sheffield ↔ Dublinsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Durham-Tees-Valley ↔ Dublinsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Dublin4,02228.3% of 4,022 movements1.1% of 4,022 movements0.4% of 4,022 movementsdescriptive comparison
Ema ↔ Dublin53220.7% of 532 movements0.2% of 532 movements0.6% of 532 movementsdescriptive comparison
Ext ↔ Dublin28122.1% of 281 movements0.7% of 281 movements0.4% of 281 movementsdescriptive comparison
Gla ↔ Dublin2,82520.8% of 2,825 movements0.8% of 2,825 movements0.4% of 2,825 movementsdescriptive comparison
Iom ↔ Dublin53325.9% of 533 movements2.4% of 533 movements0.4% of 533 movementsdescriptive comparison
Jer ↔ Dublin9944.4% of 99 movementsno events in 99 movements1.0% of 99 movementsdescriptive comparison
Lba ↔ Dublin1,84224.0% of 1,842 movements2.3% of 1,842 movements0.5% of 1,842 movementsdescriptive comparison
Lcy ↔ Dublin1,70415.8% of 1,704 movements1.8% of 1,704 movements0.2% of 1,704 movementsdescriptive comparison
Lgw ↔ Dublin3,04623.2% of 3,046 movements0.0% of 3,046 movements0.2% of 3,046 movementsdescriptive comparison
Lpl ↔ Dublin2,38418.5% of 2,384 movements0.7% of 2,384 movements0.6% of 2,384 movementsdescriptive comparison
Ltn ↔ Dublin1,29529.3% of 1,295 movements0.1% of 1,295 movements0.6% of 1,295 movementsdescriptive comparison
Man ↔ Dublin4,99425.7% of 4,994 movements0.8% of 4,994 movements0.3% of 4,994 movementsdescriptive comparison
Mme ↔ Dublinsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ Dublin1,08820.9% of 1,088 movements0.3% of 1,088 movements0.6% of 1,088 movementsdescriptive comparison
Sen ↔ Dublinsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sou ↔ Dublin89323.0% of 893 movements2.4% of 893 movements0.3% of 893 movementsdescriptive comparison
Stn ↔ Dublin3,02824.0% of 3,028 movementsno events in 3,028 movements0.4% of 3,028 movementsdescriptive comparison

Does the direction you are flying change anything?

Barely: arrivals into LHR ran 24.3% of 6,195 movements disrupted, departures 24.5% of 6,195 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 LHR24.3% of 6,195 movements1.0% of 6,195 movements0.2% of 6,195 movements
Departures from LHR24.5% of 6,195 movements0.9% of 6,195 movements0.2% of 6,195 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 2026105 flights out of 45,482105 × £220 = £23,100
ArrivalsLast 72 months · Jul 2020–Jun 202669 flights out of 29,84669 × £220 = £15,180
DeparturesWhole archive · Jan 2018–Jun 202682 flights out of 45,39982 × £220 = £18,040
DeparturesLast 72 months · Jul 2020–Jun 202657 flights out of 29,77357 × £220 = £12,540
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 / countryDUBLIN / IRISH REPUBLIC
Final point codesDUB / EIDW
Great-circle distance449 km
Maximum statutory amount for the band£220
Average operated arrivals per day16.81
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: 6,195; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

24.3% of 6,195 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

1.0% of 6,195 movements in the same window.

How many delays crossed three hours?

0.2% of 6,195 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?

449 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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