UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ FRANKFURT MAIN

In the twelve months from July 2025 to June 2026, 24.8% of 5,415 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, 75.2% of 5,415 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 774 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, 24.8% of 5,415 movements were disrupted and 2.7% of 5,415 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
24.8% of 5,415 movements2.7% of 5,415 movements19.0–49.7 min; N of delayed flights=1,196–2,8555,415
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: 2.7% of 5,415 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 min22.1%30 min10.5%60 min3.0%120 min0.5%180 min0.1%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min22.1% of 5,415 movements1,1964.5
>30 min10.5% of 5,415 movements5669.6
>60 min3.0% of 5,415 movements16532.8
>120 min0.5% of 5,415 movements26208.3
>180 min0.1% of 5,415 movements7773.6
>360 minno events in 5,415 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 early4909.0%15–1 early1,92235.5%0–15 late1,65930.6%16–3063011.6%31–604017.4%61…1201392.6%121…180190.4%181…36070.1%>36000.0%D=5,415
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0068; 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 61 movements. Worst month: Sep 2022, 52.0% of 342 movements.

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

Monthly disruption share; gaps mean no published dataJan 2018: 27.1%; sample: 5052018Feb 2018: 24.2%; sample: 509Mar 2018: 29.9%; sample: 556Apr 2018: 42.3%; sample: 537May 2018: 36.0%; sample: 561Jun 2018: 39.9%; sample: 549Jul 2018: 43.2%; sample: 565Aug 2018: 34.9%; sample: 564Sep 2018: 43.7%; sample: 551Oct 2018: 33.7%; sample: 576Nov 2018: 27.9%; sample: 534Dec 2018: 43.0%; sample: 495Jan 2019: 17.0%; sample: 4952019Feb 2019: 15.3%; sample: 496Mar 2019: 31.6%; sample: 547Apr 2019: 25.0%; sample: 492May 2019: 25.4%; sample: 539Jun 2019: 36.5%; sample: 512Jul 2019: 28.1%; sample: 545Aug 2019: 29.6%; sample: 538Sep 2019: 31.0%; sample: 513Oct 2019: 32.0%; sample: 532Nov 2019: 14.8%; sample: 512Dec 2019: 27.3%; sample: 479Jan 2020: 14.8%; sample: 4862020Feb 2020: 41.8%; sample: 498Mar 2020: 13.3%; sample: 286Apr 2020: 1.6%; sample: 64May 2020: 0.0%; sample: 61Jun 2020: 2.2%; sample: 91Jul 2020: 6.5%; sample: 124Aug 2020: 12.6%; sample: 143Sep 2020: 3.9%; sample: 128Oct 2020: 2.9%; sample: 171Nov 2020: 3.6%; sample: 83Dec 2020: 6.0%; sample: 67Jan 2021: 10.8%; sample: 652021Feb 2021: 19.1%; sample: 47Mar 2021: 14.5%; sample: 62Apr 2021: 31.2%; sample: 77May 2021: 25.8%; sample: 89Jun 2021: 16.1%; sample: 112Jul 2021: 9.6%; sample: 135Aug 2021: 43.8%; sample: 153Sep 2021: 24.0%; sample: 175Oct 2021: 19.7%; sample: 213Nov 2021: 12.2%; sample: 271Dec 2021: 17.8%; sample: 247Jan 2022: 14.8%; sample: 1832022Feb 2022: 20.8%; sample: 178Mar 2022: 11.5%; sample: 260Apr 2022: 26.5%; sample: 393May 2022: 34.0%; sample: 447Jun 2022: 44.2%; sample: 389Jul 2022: 51.9%; sample: 378Aug 2022: 33.6%; sample: 360Sep 2022: 52.0%; sample: 342Oct 2022: 28.8%; sample: 361Nov 2022: 19.5%; sample: 446Dec 2022: 49.6%; sample: 464Jan 2023: 28.0%; sample: 4252023Feb 2023: 31.1%; sample: 373Mar 2023: 38.3%; sample: 441Apr 2023: 19.6%; sample: 428May 2023: 28.2%; sample: 429Jun 2023: 38.6%; sample: 435Jul 2023: 41.2%; sample: 434Aug 2023: 45.9%; sample: 447Sep 2023: 44.5%; sample: 438Oct 2023: 42.5%; sample: 464Nov 2023: 25.8%; sample: 493Dec 2023: 50.5%; sample: 481Jan 2024: 27.8%; sample: 4462024Feb 2024: 29.0%; sample: 483Mar 2024: 26.4%; sample: 497Apr 2024: 34.1%; sample: 464May 2024: 30.2%; sample: 443Jun 2024: 35.0%; sample: 423Jul 2024: 41.9%; sample: 484Aug 2024: 39.6%; sample: 485Sep 2024: 48.2%; sample: 473Oct 2024: 34.5%; sample: 470Nov 2024: 20.5%; sample: 487Dec 2024: 41.0%; sample: 478Jan 2025: 19.5%; sample: 4762025Feb 2025: 5.5%; sample: 452Mar 2025: 15.9%; sample: 497Apr 2025: 9.9%; sample: 464May 2025: 18.3%; sample: 453Jun 2025: 23.6%; sample: 433Jul 2025: 32.8%; sample: 467Aug 2025: 24.5%; sample: 461Sep 2025: 37.5%; sample: 461Oct 2025: 23.4%; sample: 483Nov 2025: 14.4%; sample: 485Dec 2025: 20.0%; sample: 484Jan 2026: 31.1%; sample: 4602026Feb 2026: 19.1%; sample: 445Mar 2026: 18.6%; sample: 478Apr 2026: 19.1%; sample: 398May 2026: 21.2%; sample: 400Jun 2026: 37.4%; sample: 393Pandemic regime Jun 2020Summer 2022 breakdown Jul 2022NATS system failure Aug 2023Heathrow fire closure Mar 2025100%0%
Every month since 2018, including gaps and suppressed cells
MonthDisruption on arrivals
Jan 201827.1% of 505 movements
Feb 201824.2% of 509 movements
Mar 201829.9% of 556 movements
Apr 201842.3% of 537 movements
May 201836.0% of 561 movements
Jun 201839.9% of 549 movements
Jul 201843.2% of 565 movements
Aug 201834.9% of 564 movements
Sep 201843.7% of 551 movements
Oct 201833.7% of 576 movements
Nov 201827.9% of 534 movements
Dec 201843.0% of 495 movements
Jan 201917.0% of 495 movements
Feb 201915.3% of 496 movements
Mar 201931.6% of 547 movements
Apr 201925.0% of 492 movements
May 201925.4% of 539 movements
Jun 201936.5% of 512 movements
Jul 201928.1% of 545 movements
Aug 201929.6% of 538 movements
Sep 201931.0% of 513 movements
Oct 201932.0% of 532 movements
Nov 201914.8% of 512 movements
Dec 201927.3% of 479 movements
Jan 202014.8% of 486 movements
Feb 202041.8% of 498 movements
Mar 202013.3% of 286 movements
Apr 20201.6% of 64 movements
May 2020no events in 61 movements
Jun 20202.2% of 91 movements
Jul 20206.5% of 124 movements
Aug 202012.6% of 143 movements
Sep 20203.9% of 128 movements
Oct 20202.9% of 171 movements
Nov 20203.6% of 83 movements
Dec 20206.0% of 67 movements
Jan 202110.8% of 65 movements
Feb 202119.1% of 47 movements — small sample, not ranked
Mar 202114.5% of 62 movements
Apr 202131.2% of 77 movements
May 202125.8% of 89 movements
Jun 202116.1% of 112 movements
Jul 20219.6% of 135 movements
Aug 202143.8% of 153 movements
Sep 202124.0% of 175 movements
Oct 202119.7% of 213 movements
Nov 202112.2% of 271 movements
Dec 202117.8% of 247 movements
Jan 202214.8% of 183 movements
Feb 202220.8% of 178 movements
Mar 202211.5% of 260 movements
Apr 202226.5% of 393 movements
May 202234.0% of 447 movements
Jun 202244.2% of 389 movements
Jul 202251.9% of 378 movements
Aug 202233.6% of 360 movements
Sep 202252.0% of 342 movements
Oct 202228.8% of 361 movements
Nov 202219.5% of 446 movements
Dec 202249.6% of 464 movements
Jan 202328.0% of 425 movements
Feb 202331.1% of 373 movements
Mar 202338.3% of 441 movements
Apr 202319.6% of 428 movements
May 202328.2% of 429 movements
Jun 202338.6% of 435 movements
Jul 202341.2% of 434 movements
Aug 202345.9% of 447 movements
Sep 202344.5% of 438 movements
Oct 202342.5% of 464 movements
Nov 202325.8% of 493 movements
Dec 202350.5% of 481 movements
Jan 202427.8% of 446 movements
Feb 202429.0% of 483 movements
Mar 202426.4% of 497 movements
Apr 202434.1% of 464 movements
May 202430.2% of 443 movements
Jun 202435.0% of 423 movements
Jul 202441.9% of 484 movements
Aug 202439.6% of 485 movements
Sep 202448.2% of 473 movements
Oct 202434.5% of 470 movements
Nov 202420.5% of 487 movements
Dec 202441.0% of 478 movements
Jan 202519.5% of 476 movements
Feb 20255.5% of 452 movements
Mar 202515.9% of 497 movements
Apr 20259.9% of 464 movements
May 202518.3% of 453 movements
Jun 202523.6% of 433 movements
Jul 202532.8% of 467 movements
Aug 202524.5% of 461 movements
Sep 202537.5% of 461 movements
Oct 202523.4% of 483 movements
Nov 202514.4% of 485 movements
Dec 202520.0% of 484 movements
Jan 202631.1% of 460 movements
Feb 202619.1% of 445 movements
Mar 202618.6% of 478 movements
Apr 202619.1% of 398 movements
May 202621.2% of 400 movements
Jun 202637.4% of 393 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 2020Arrivals2.2% of 91 movements22.6% across 5,026 flightsreturned the next month
Pandemic regime · Jun 2020Departures5.6% of 89 movements20.7% across 5,022 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Arrivals51.9% of 378 movements23.2% across 3,044 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures64.8% of 401 movements29.0% across 3,043 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals45.9% of 447 movements34.1% across 4,938 flightsreturned after 3 months
NATS system failure · Aug 2023Departures48.2% of 448 movements40.8% across 4,943 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals15.9% of 497 movements31.4% across 5,632 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures18.5% of 491 movements31.8% across 5,634 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?

September has historically been the hardest month on this route: in a typical September, 44.1% of arrivals were disrupted, measured across 6 Septembers in the archive. November has been the calmest, at 20.0% across 6 Novembers.

Even September has ranged from 31.0% to 52.0% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201917.0% of 495 movements15.3% of 496 movements31.6% of 547 movements25.0% of 492 movements25.4% of 539 movements36.5% of 512 movements28.1% of 545 movements29.6% of 538 movements31.0% of 513 movements32.0% of 532 movements14.8% of 512 movements27.3% of 479 movements202014.8% of 486 movements41.8% of 498 movements13.3% of 286 movements1.6% of 64 movementsno events in 61 movements2.2% of 91 movements6.5% of 124 movements12.6% of 143 movements3.9% of 128 movements2.9% of 171 movements3.6% of 83 movements6.0% of 67 movements202110.8% of 65 movements19.1% of 47 movements †14.5% of 62 movements31.2% of 77 movements25.8% of 89 movements16.1% of 112 movements9.6% of 135 movements43.8% of 153 movements24.0% of 175 movements19.7% of 213 movements12.2% of 271 movements17.8% of 247 movements202214.8% of 183 movements20.8% of 178 movements11.5% of 260 movements26.5% of 393 movements34.0% of 447 movements44.2% of 389 movements51.9% of 378 movements33.6% of 360 movements52.0% of 342 movements28.8% of 361 movements19.5% of 446 movements49.6% of 464 movements202328.0% of 425 movements31.1% of 373 movements38.3% of 441 movements19.6% of 428 movements28.2% of 429 movements38.6% of 435 movements41.2% of 434 movements45.9% of 447 movements44.5% of 438 movements42.5% of 464 movements25.8% of 493 movements50.5% of 481 movements202427.8% of 446 movements29.0% of 483 movements26.4% of 497 movements34.1% of 464 movements30.2% of 443 movements35.0% of 423 movements41.9% of 484 movements39.6% of 485 movements48.2% of 473 movements34.5% of 470 movements20.5% of 487 movements41.0% of 478 movements202519.5% of 476 movements5.5% of 452 movements15.9% of 497 movements9.9% of 464 movements18.3% of 453 movements23.6% of 433 movements32.8% of 467 movements24.5% of 461 movements37.5% of 461 movements23.4% of 483 movements14.4% of 485 movements20.0% of 484 movements202631.1% of 460 movements19.1% of 445 movements18.6% of 478 movements19.1% of 398 movements21.2% of 400 movements37.4% of 393 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan27.1%14.8–31.1%7 months, 2,990 flights
Feb20.8%5.5–31.1%7 months, 2,936 flights
Mar26.4%11.5–38.3%7 months, 3,276 flights
Apr25.0%9.9–42.3%7 months, 3,176 flights
May28.2%18.3–36.0%7 months, 3,272 flights
Jun37.4%23.6–44.2%7 months, 3,134 flights
Jul41.6%28.1–51.9%6 months, 2,873 flights
Aug34.3%24.5–45.9%6 months, 2,855 flights
Sep44.1%31.0–52.0%6 months, 2,778 flights
Oct32.8%23.4–42.5%6 months, 2,886 flights
Nov20.0%14.4–27.9%6 months, 2,957 flights
Dec42.0%20.0–50.5%6 months, 2,881 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 23.2% of 1,285 movements, Lufthansa 24.9% of 3,657 movements, Lufthansa City Airlines 28.5% of 471 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 optionBritish Airways23.2% of 1,285 flightsLufthansa24.9% of 3,657 flightsLufthansa City Airlines28.5% of 471 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Air Indiasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Air Namibiasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
American Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
British Airways1,28523.2% of 1,285 movements1.0% of 1,285 movements0.3% of 1,285 movementsdescriptive comparison
Etihad Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gulf Airsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lufthansa3,65724.9% of 3,657 movements3.6% of 3,657 movements0.0% of 3,657 movementsdescriptive comparison
Lufthansa City Airlines47128.5% of 471 movements0.8% of 471 movements0.4% of 471 movementsdescriptive comparison
Qantassuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
United Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Uzbekistan Airlinessuppressed: 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 24.8% of 5,415 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 flightsMan ↔ Frankfurt-Main27.5% of 1,335 flightsNcl ↔ Frankfurt-Main32.7% of 245 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Frankfurt-Mainsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Frankfurt-Mainsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Frankfurt-Mainsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Frankfurt-Main1,06424.5% of 1,064 movements4.7% of 1,064 movements0.2% of 1,064 movementsdescriptive comparison
Boh ↔ Frankfurt-Mainsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Frankfurt-Mainsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Cwl ↔ Frankfurt-Mainsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Frankfurt-Mainsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Frankfurt-Main92028.2% of 920 movements3.5% of 920 movements0.1% of 920 movementsdescriptive comparison
Ema ↔ Frankfurt-Mainsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Frankfurt-Main52325.0% of 523 movements2.7% of 523 movements0.2% of 523 movementsdescriptive comparison
Iom ↔ Frankfurt-Mainsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jer ↔ Frankfurt-Mainsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
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
Lpl ↔ Frankfurt-Mainsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Frankfurt-Mainsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Frankfurt-Main1,33527.5% of 1,335 movements2.9% of 1,335 movements0.1% of 1,335 movementsdescriptive comparison
Ncl ↔ Frankfurt-Main24532.7% of 245 movements4.9% of 245 movementsno events in 245 movementsdescriptive comparison
Sen ↔ Frankfurt-Mainsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Frankfurt-Mainsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

Does the direction you are flying change anything?

Barely: arrivals into LHR ran 24.8% of 5,415 movements disrupted, departures 26.9% of 5,410 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 LHR24.8% of 5,415 movements2.7% of 5,415 movements0.1% of 5,415 movements
Departures from LHR26.9% of 5,410 movements2.6% of 5,410 movements0.1% of 5,410 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 202674 flights out of 39,86274 × £220 = £16,280
ArrivalsLast 72 months · Jul 2020–Jun 202656 flights out of 25,67456 × £220 = £12,320
DeparturesWhole archive · Jan 2018–Jun 202646 flights out of 39,86546 × £220 = £10,120
DeparturesLast 72 months · Jul 2020–Jun 202639 flights out of 25,68739 × £220 = £8,580
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 / countryFRANKFURT MAIN / GERMANY
Final point codesFRA / EDDF
Great-circle distance654 km
Maximum statutory amount for the band£220
Average operated arrivals per day14.43
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: 5,415; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

24.8% of 5,415 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

2.7% of 5,415 movements in the same window.

How many delays crossed three hours?

0.1% of 5,415 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?

654 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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