UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ MADRID

In the twelve months from July 2025 to June 2026, 21.0% of 4,795 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, 79.0% of 4,795 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 599 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, 21.0% of 4,795 movements were disrupted and 0.8% of 4,795 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
21.0% of 4,795 movements0.8% of 4,795 movements19.4–52.4 min; N of delayed flights=972–2,3864,795
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: 0.8% of 4,795 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 min20.3%30 min9.6%60 min3.3%120 min0.7%180 min0.2%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min20.3% of 4,795 movements9724.9
>30 min9.6% of 4,795 movements46210.4
>60 min3.3% of 4,795 movements15730.5
>120 min0.7% of 4,795 movements33145.3
>180 min0.2% of 4,795 movements8599.4
>360 min0.0% of 4,795 movements14,795.0
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 early56311.7%15–1 early1,81037.7%0–15 late1,41429.5%16–3051010.6%31–603056.4%61…1201242.6%121…180250.5%181…36070.1%>36010.0%D=4,795
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: Nov 2020, 1.3% of 79 movements. Worst month: Sep 2024, 44.4% of 363 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: 19.8%; sample: 3692018Feb 2018: 20.7%; sample: 358Mar 2018: 23.9%; sample: 398Apr 2018: 19.5%; sample: 389May 2018: 16.1%; sample: 397Jun 2018: 13.7%; sample: 380Jul 2018: 15.7%; sample: 389Aug 2018: 13.3%; sample: 339Sep 2018: 12.4%; sample: 388Oct 2018: 20.2%; sample: 400Nov 2018: 27.0%; sample: 382Dec 2018: 28.6%; sample: 371Jan 2019: 11.9%; sample: 3882019Feb 2019: 16.4%; sample: 354Mar 2019: 35.9%; sample: 393Apr 2019: 11.9%; sample: 388May 2019: 11.8%; sample: 399Jun 2019: 17.1%; sample: 392Jul 2019: 16.7%; sample: 389Aug 2019: 20.0%; sample: 320Sep 2019: 19.4%; sample: 366Oct 2019: 18.0%; sample: 405Nov 2019: 19.9%; sample: 408Dec 2019: 29.5%; sample: 393Jan 2020: 13.3%; sample: 3832020Feb 2020: 35.1%; sample: 393Mar 2020: 13.6%; sample: 302Apr 2020: 12.2%; sample: 41May 2020: 16.1%; sample: 31Jun 2020: 3.9%; sample: 51Jul 2020: 4.6%; sample: 109Aug 2020: 4.1%; sample: 123Sep 2020: 3.4%; sample: 89Oct 2020: 4.6%; sample: 131Nov 2020: 1.3%; sample: 79Dec 2020: 12.6%; sample: 111Jan 2021: 38.5%; sample: 912021Feb 2021: 5.4%; sample: 56Mar 2021: 16.7%; sample: 66Apr 2021: 3.3%; sample: 60May 2021: 3.2%; sample: 62Jun 2021: 1.3%; sample: 76Jul 2021: 7.1%; sample: 113Aug 2021: 6.6%; sample: 121Sep 2021: 6.2%; sample: 144Oct 2021: 9.9%; sample: 181Nov 2021: 15.3%; sample: 209Dec 2021: 13.3%; sample: 233Jan 2022: 6.2%; sample: 2262022Feb 2022: 21.0%; sample: 210Mar 2022: 14.5%; sample: 289Apr 2022: 19.1%; sample: 324May 2022: 15.0%; sample: 346Jun 2022: 23.7%; sample: 333Jul 2022: 32.2%; sample: 354Aug 2022: 18.7%; sample: 273Sep 2022: 35.0%; sample: 337Oct 2022: 18.9%; sample: 365Nov 2022: 21.6%; sample: 403Dec 2022: 23.3%; sample: 391Jan 2023: 23.4%; sample: 4112023Feb 2023: 18.0%; sample: 377Mar 2023: 34.7%; sample: 412Apr 2023: 22.6%; sample: 381May 2023: 21.5%; sample: 396Jun 2023: 28.8%; sample: 372Jul 2023: 22.1%; sample: 344Aug 2023: 26.3%; sample: 262Sep 2023: 27.2%; sample: 367Oct 2023: 24.9%; sample: 386Nov 2023: 24.8%; sample: 416Dec 2023: 29.7%; sample: 414Jan 2024: 16.5%; sample: 3692024Feb 2024: 16.3%; sample: 374Mar 2024: 19.6%; sample: 424Apr 2024: 24.6%; sample: 390May 2024: 29.1%; sample: 402Jun 2024: 29.5%; sample: 376Jul 2024: 35.4%; sample: 370Aug 2024: 29.5%; sample: 292Sep 2024: 44.4%; sample: 363Oct 2024: 33.3%; sample: 405Nov 2024: 30.3%; sample: 419Dec 2024: 37.4%; sample: 444Jan 2025: 23.8%; sample: 4242025Feb 2025: 11.1%; sample: 379Mar 2025: 21.9%; sample: 434Apr 2025: 14.5%; sample: 385May 2025: 16.5%; sample: 393Jun 2025: 16.4%; sample: 379Jul 2025: 28.9%; sample: 370Aug 2025: 24.1%; sample: 352Sep 2025: 26.8%; sample: 366Oct 2025: 24.3%; sample: 408Nov 2025: 13.6%; sample: 428Dec 2025: 17.3%; sample: 446Jan 2026: 18.4%; sample: 4292026Feb 2026: 17.8%; sample: 393Mar 2026: 15.5%; sample: 438Apr 2026: 15.1%; sample: 385May 2026: 24.8%; sample: 400Jun 2026: 28.9%; sample: 380Pandemic 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 201819.8% of 369 movements
Feb 201820.7% of 358 movements
Mar 201823.9% of 398 movements
Apr 201819.5% of 389 movements
May 201816.1% of 397 movements
Jun 201813.7% of 380 movements
Jul 201815.7% of 389 movements
Aug 201813.3% of 339 movements
Sep 201812.4% of 388 movements
Oct 201820.2% of 400 movements
Nov 201827.0% of 382 movements
Dec 201828.6% of 371 movements
Jan 201911.9% of 388 movements
Feb 201916.4% of 354 movements
Mar 201935.9% of 393 movements
Apr 201911.9% of 388 movements
May 201911.8% of 399 movements
Jun 201917.1% of 392 movements
Jul 201916.7% of 389 movements
Aug 201920.0% of 320 movements
Sep 201919.4% of 366 movements
Oct 201918.0% of 405 movements
Nov 201919.9% of 408 movements
Dec 201929.5% of 393 movements
Jan 202013.3% of 383 movements
Feb 202035.1% of 393 movements
Mar 202013.6% of 302 movements
Apr 202012.2% of 41 movements — small sample, not ranked
May 202016.1% of 31 movements — small sample, not ranked
Jun 20203.9% of 51 movements
Jul 20204.6% of 109 movements
Aug 20204.1% of 123 movements
Sep 20203.4% of 89 movements
Oct 20204.6% of 131 movements
Nov 20201.3% of 79 movements
Dec 202012.6% of 111 movements
Jan 202138.5% of 91 movements
Feb 20215.4% of 56 movements
Mar 202116.7% of 66 movements
Apr 20213.3% of 60 movements
May 20213.2% of 62 movements
Jun 20211.3% of 76 movements
Jul 20217.1% of 113 movements
Aug 20216.6% of 121 movements
Sep 20216.2% of 144 movements
Oct 20219.9% of 181 movements
Nov 202115.3% of 209 movements
Dec 202113.3% of 233 movements
Jan 20226.2% of 226 movements
Feb 202221.0% of 210 movements
Mar 202214.5% of 289 movements
Apr 202219.1% of 324 movements
May 202215.0% of 346 movements
Jun 202223.7% of 333 movements
Jul 202232.2% of 354 movements
Aug 202218.7% of 273 movements
Sep 202235.0% of 337 movements
Oct 202218.9% of 365 movements
Nov 202221.6% of 403 movements
Dec 202223.3% of 391 movements
Jan 202323.4% of 411 movements
Feb 202318.0% of 377 movements
Mar 202334.7% of 412 movements
Apr 202322.6% of 381 movements
May 202321.5% of 396 movements
Jun 202328.8% of 372 movements
Jul 202322.1% of 344 movements
Aug 202326.3% of 262 movements
Sep 202327.2% of 367 movements
Oct 202324.9% of 386 movements
Nov 202324.8% of 416 movements
Dec 202329.7% of 414 movements
Jan 202416.5% of 369 movements
Feb 202416.3% of 374 movements
Mar 202419.6% of 424 movements
Apr 202424.6% of 390 movements
May 202429.1% of 402 movements
Jun 202429.5% of 376 movements
Jul 202435.4% of 370 movements
Aug 202429.5% of 292 movements
Sep 202444.4% of 363 movements
Oct 202433.3% of 405 movements
Nov 202430.3% of 419 movements
Dec 202437.4% of 444 movements
Jan 202523.8% of 424 movements
Feb 202511.1% of 379 movements
Mar 202521.9% of 434 movements
Apr 202514.5% of 385 movements
May 202516.5% of 393 movements
Jun 202516.4% of 379 movements
Jul 202528.9% of 370 movements
Aug 202524.1% of 352 movements
Sep 202526.8% of 366 movements
Oct 202524.3% of 408 movements
Nov 202513.6% of 428 movements
Dec 202517.3% of 446 movements
Jan 202618.4% of 429 movements
Feb 202617.8% of 393 movements
Mar 202615.5% of 438 movements
Apr 202615.1% of 385 movements
May 202624.8% of 400 movements
Jun 202628.9% of 380 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 2020Arrivals3.9% of 51 movements19.2% across 3,823 flightsreturned the next month
Pandemic regime · Jun 2020Departures3.9% of 51 movements24.1% across 3,830 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Arrivals32.2% of 354 movements13.2% across 2,729 flightsstill above it 8 months later
Summer 2022 breakdown · Jul 2022Departures51.4% of 354 movements22.4% across 2,718 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals26.3% of 262 movements24.0% across 4,462 flightsreturned after 5 months
NATS system failure · Aug 2023Departures31.3% of 262 movements32.5% across 4,458 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals21.9% of 434 movements29.0% across 4,688 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures28.8% of 427 movements31.5% across 4,687 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, 29.0% of arrivals were disrupted, measured across 6 Decembers in the archive. May has been the calmest, at 16.5% across 7 Mays.

Even December has ranged from 17.3% to 37.4% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201911.9% of 388 movements16.4% of 354 movements35.9% of 393 movements11.9% of 388 movements11.8% of 399 movements17.1% of 392 movements16.7% of 389 movements20.0% of 320 movements19.4% of 366 movements18.0% of 405 movements19.9% of 408 movements29.5% of 393 movements202013.3% of 383 movements35.1% of 393 movements13.6% of 302 movements12.2% of 41 movements †16.1% of 31 movements †3.9% of 51 movements4.6% of 109 movements4.1% of 123 movements3.4% of 89 movements4.6% of 131 movements1.3% of 79 movements12.6% of 111 movements202138.5% of 91 movements5.4% of 56 movements16.7% of 66 movements3.3% of 60 movements3.2% of 62 movements1.3% of 76 movements7.1% of 113 movements6.6% of 121 movements6.2% of 144 movements9.9% of 181 movements15.3% of 209 movements13.3% of 233 movements20226.2% of 226 movements21.0% of 210 movements14.5% of 289 movements19.1% of 324 movements15.0% of 346 movements23.7% of 333 movements32.2% of 354 movements18.7% of 273 movements35.0% of 337 movements18.9% of 365 movements21.6% of 403 movements23.3% of 391 movements202323.4% of 411 movements18.0% of 377 movements34.7% of 412 movements22.6% of 381 movements21.5% of 396 movements28.8% of 372 movements22.1% of 344 movements26.3% of 262 movements27.2% of 367 movements24.9% of 386 movements24.8% of 416 movements29.7% of 414 movements202416.5% of 369 movements16.3% of 374 movements19.6% of 424 movements24.6% of 390 movements29.1% of 402 movements29.5% of 376 movements35.4% of 370 movements29.5% of 292 movements44.4% of 363 movements33.3% of 405 movements30.3% of 419 movements37.4% of 444 movements202523.8% of 424 movements11.1% of 379 movements21.9% of 434 movements14.5% of 385 movements16.5% of 393 movements16.4% of 379 movements28.9% of 370 movements24.1% of 352 movements26.8% of 366 movements24.3% of 408 movements13.6% of 428 movements17.3% of 446 movements202618.4% of 429 movements17.8% of 393 movements15.5% of 438 movements15.1% of 385 movements24.8% of 400 movements28.9% of 380 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan18.4%6.2–23.8%7 months, 2,616 flights
Feb17.8%11.1–21.0%7 months, 2,445 flights
Mar21.9%14.5–35.9%7 months, 2,788 flights
Apr19.1%11.9–24.6%7 months, 2,642 flights
May16.5%11.8–29.1%7 months, 2,733 flights
Jun23.7%13.7–29.5%7 months, 2,612 flights
Jul25.5%15.7–35.4%6 months, 2,216 flights
Aug22.1%13.3–29.5%6 months, 1,838 flights
Sep27.0%12.4–44.4%6 months, 2,187 flights
Oct22.3%18.0–33.3%6 months, 2,369 flights
Nov23.2%13.6–30.3%6 months, 2,456 flights
Dec29.0%17.3–37.4%6 months, 2,459 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: Iberia 20.6% of 2,903 movements, British Airways 21.7% of 1,890 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 optionBritish Airways21.7% of 1,890 flightsIberia20.6% of 2,903 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
American Airlinessuppressed: 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 Airways1,89021.7% of 1,890 movements1.2% of 1,890 movements0.2% of 1,890 movementsdescriptive comparison
Iberia2,90320.6% of 2,903 movements0.4% of 2,903 movements0.1% of 2,903 movementsdescriptive comparison
Tam Linhas Aereassuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Titan Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

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, LGW had the lowest disruption share at 15.3% of 1,953 movements and LTN the highest at 41.8% of 294 movements. This route sits at 21.0% of 4,795 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 ↔ Madrid22.5% of 258 flightsBrs ↔ Madrid30.2% of 500 flightsEdi ↔ Madrid34.1% of 737 flightsLcy ↔ Madrid34.6% of 318 flightsLgw ↔ Madrid15.3% of 1,953 flightsLpl ↔ Madrid37.4% of 107 flightsLtn ↔ Madrid41.8% of 294 flightsMan ↔ Madrid33.4% of 900 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Madridsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Madridsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Madrid25822.5% of 258 movementsno events in 258 movements0.8% of 258 movementsdescriptive comparison
Boh ↔ Madridsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Madrid50030.2% of 500 movements0.8% of 500 movements1.2% of 500 movementsdescriptive comparison
Cwl ↔ Madridsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Madrid73734.1% of 737 movements0.4% of 737 movements0.7% of 737 movementsdescriptive comparison
Ema ↔ Madridsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Madridsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Madridsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jer ↔ Madridsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Madridsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lcy ↔ Madrid31834.6% of 318 movements0.3% of 318 movements1.6% of 318 movementsdescriptive comparison
Lgw ↔ Madrid1,95315.3% of 1,953 movements0.2% of 1,953 movements0.1% of 1,953 movementsdescriptive comparison
Lpl ↔ Madrid10737.4% of 107 movementsno events in 107 movementsno events in 107 movementsdescriptive comparison
Ltn ↔ Madrid29441.8% of 294 movements0.3% of 294 movements0.7% of 294 movementsdescriptive comparison
Man ↔ Madrid90033.4% of 900 movements0.2% of 900 movements0.6% of 900 movementsdescriptive comparison
Ncl ↔ Madridsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sen ↔ Madridsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sou ↔ Madridsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Madrid1,40033.7% of 1,400 movementsno events in 1,400 movements0.5% of 1,400 movementsdescriptive comparison

Does the direction you are flying change anything?

Barely: arrivals into LHR ran 21.0% of 4,795 movements disrupted, departures 22.4% of 4,788 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 LHR21.0% of 4,795 movements0.8% of 4,795 movements0.2% of 4,795 movements
Departures from LHR22.4% of 4,788 movements0.7% of 4,788 movements0.1% of 4,788 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 202666 flights out of 32,61666 × £220 = £14,520
ArrivalsLast 72 months · Jul 2020–Jun 202643 flights out of 22,26043 × £220 = £9,460
DeparturesWhole archive · Jan 2018–Jun 202659 flights out of 32,58459 × £220 = £12,980
DeparturesLast 72 months · Jul 2020–Jun 202635 flights out of 22,22335 × £220 = £7,700
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 / countryMADRID / SPAIN
Final point codesMAD / LEMD
Great-circle distance1,244 km
Maximum statutory amount for the band£220
Average operated arrivals per day13.04
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: 4,795; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

21.0% of 4,795 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.8% of 4,795 movements in the same window.

How many delays crossed three hours?

0.2% of 4,795 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?

1,244 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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