UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ MUNICH

In the twelve months from July 2025 to June 2026, 23.4% of 4,772 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, 76.6% of 4,772 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 596 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, 23.4% of 4,772 movements were disrupted and 1.8% of 4,772 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
23.4% of 4,772 movements1.8% of 4,772 movements20.3–52.8 min; N of delayed flights=1,030–2,4424,772
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: 1.8% of 4,772 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 min21.6%30 min10.5%60 min3.5%120 min0.6%180 min0.2%360 min0.1%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min21.6% of 4,772 movements1,0304.6
>30 min10.5% of 4,772 movements5039.5
>60 min3.5% of 4,772 movements16928.2
>120 min0.6% of 4,772 movements30159.1
>180 min0.2% of 4,772 movements8596.5
>360 min0.1% of 4,772 movements31,590.7
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 early55011.5%15–1 early1,69335.5%0–15 late1,41229.6%16–3052711.0%31–603347.0%61…1201392.9%121…180220.5%181…36050.1%>36030.1%D=4,772
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0093; 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, no events in 126 movements. Worst month: Dec 2023, 65.5% of 412 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: 28.1%; sample: 4482018Feb 2018: 23.7%; sample: 427Mar 2018: 25.9%; sample: 468Apr 2018: 29.6%; sample: 412May 2018: 31.8%; sample: 421Jun 2018: 31.1%; sample: 408Jul 2018: 33.4%; sample: 431Aug 2018: 23.5%; sample: 408Sep 2018: 31.6%; sample: 415Oct 2018: 31.5%; sample: 444Nov 2018: 23.0%; sample: 440Dec 2018: 36.7%; sample: 431Jan 2019: 20.7%; sample: 4442019Feb 2019: 21.8%; sample: 422Mar 2019: 25.2%; sample: 465Apr 2019: 17.5%; sample: 423May 2019: 15.0%; sample: 439Jun 2019: 29.7%; sample: 424Jul 2019: 31.8%; sample: 440Aug 2019: 30.1%; sample: 435Sep 2019: 32.2%; sample: 410Oct 2019: 32.4%; sample: 447Nov 2019: 10.2%; sample: 442Dec 2019: 21.2%; sample: 430Jan 2020: 13.6%; sample: 4422020Feb 2020: 42.6%; sample: 434Mar 2020: 12.6%; sample: 246Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 1.3%; sample: 76Aug 2020: 6.5%; sample: 93Sep 2020: 0.0%; sample: 126Oct 2020: 3.2%; sample: 188Nov 2020: 10.9%; sample: 64Dec 2020: 12.2%; sample: 41Jan 2021: 14.3%; sample: 352021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: 8.3%; sample: 24Apr 2021: 7.5%; sample: 40May 2021: 3.0%; sample: 33Jun 2021: 8.5%; sample: 47Jul 2021: 12.0%; sample: 83Aug 2021: 28.3%; sample: 120Sep 2021: 22.2%; sample: 144Oct 2021: 17.5%; sample: 200Nov 2021: 6.7%; sample: 210Dec 2021: 15.3%; sample: 196Jan 2022: 9.0%; sample: 1222022Feb 2022: 24.7%; sample: 178Mar 2022: 12.9%; sample: 232Apr 2022: 21.8%; sample: 340May 2022: 31.5%; sample: 368Jun 2022: 46.4%; sample: 343Jul 2022: 48.2%; sample: 276Aug 2022: 23.3%; sample: 301Sep 2022: 39.1%; sample: 304Oct 2022: 28.0%; sample: 350Nov 2022: 12.1%; sample: 388Dec 2022: 45.6%; sample: 379Jan 2023: 22.3%; sample: 3642023Feb 2023: 22.2%; sample: 356Mar 2023: 34.0%; sample: 362Apr 2023: 22.1%; sample: 340May 2023: 23.9%; sample: 356Jun 2023: 38.5%; sample: 358Jul 2023: 48.6%; sample: 405Aug 2023: 46.5%; sample: 413Sep 2023: 44.0%; sample: 402Oct 2023: 38.2%; sample: 422Nov 2023: 27.1%; sample: 432Dec 2023: 65.5%; sample: 412Jan 2024: 27.4%; sample: 3432024Feb 2024: 23.5%; sample: 383Mar 2024: 18.8%; sample: 416Apr 2024: 37.5%; sample: 413May 2024: 37.8%; sample: 407Jun 2024: 50.8%; sample: 390Jul 2024: 60.6%; sample: 416Aug 2024: 52.9%; sample: 412Sep 2024: 60.1%; sample: 411Oct 2024: 37.9%; sample: 419Nov 2024: 21.5%; sample: 419Dec 2024: 36.3%; sample: 410Jan 2025: 21.0%; sample: 3852025Feb 2025: 13.0%; sample: 376Mar 2025: 16.4%; sample: 428Apr 2025: 6.2%; sample: 419May 2025: 15.5%; sample: 412Jun 2025: 22.3%; sample: 394Jul 2025: 31.1%; sample: 405Aug 2025: 15.5%; sample: 387Sep 2025: 33.8%; sample: 399Oct 2025: 27.4%; sample: 413Nov 2025: 19.5%; sample: 415Dec 2025: 31.2%; sample: 432Jan 2026: 33.0%; sample: 3672026Feb 2026: 19.8%; sample: 373Mar 2026: 9.8%; sample: 430Apr 2026: 18.9%; sample: 386May 2026: 16.0%; sample: 387Jun 2026: 25.1%; sample: 378Pandemic 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 201828.1% of 448 movements
Feb 201823.7% of 427 movements
Mar 201825.9% of 468 movements
Apr 201829.6% of 412 movements
May 201831.8% of 421 movements
Jun 201831.1% of 408 movements
Jul 201833.4% of 431 movements
Aug 201823.5% of 408 movements
Sep 201831.6% of 415 movements
Oct 201831.5% of 444 movements
Nov 201823.0% of 440 movements
Dec 201836.7% of 431 movements
Jan 201920.7% of 444 movements
Feb 201921.8% of 422 movements
Mar 201925.2% of 465 movements
Apr 201917.5% of 423 movements
May 201915.0% of 439 movements
Jun 201929.7% of 424 movements
Jul 201931.8% of 440 movements
Aug 201930.1% of 435 movements
Sep 201932.2% of 410 movements
Oct 201932.4% of 447 movements
Nov 201910.2% of 442 movements
Dec 201921.2% of 430 movements
Jan 202013.6% of 442 movements
Feb 202042.6% of 434 movements
Mar 202012.6% of 246 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 20201.3% of 76 movements
Aug 20206.5% of 93 movements
Sep 2020no events in 126 movements
Oct 20203.2% of 188 movements
Nov 202010.9% of 64 movements
Dec 202012.2% of 41 movements — small sample, not ranked
Jan 202114.3% of 35 movements — small sample, not ranked
Feb 2021suppressed: fewer than twenty movements
Mar 20218.3% of 24 movements — small sample, not ranked
Apr 20217.5% of 40 movements — small sample, not ranked
May 20213.0% of 33 movements — small sample, not ranked
Jun 20218.5% of 47 movements — small sample, not ranked
Jul 202112.0% of 83 movements
Aug 202128.3% of 120 movements
Sep 202122.2% of 144 movements
Oct 202117.5% of 200 movements
Nov 20216.7% of 210 movements
Dec 202115.3% of 196 movements
Jan 20229.0% of 122 movements
Feb 202224.7% of 178 movements
Mar 202212.9% of 232 movements
Apr 202221.8% of 340 movements
May 202231.5% of 368 movements
Jun 202246.4% of 343 movements
Jul 202248.2% of 276 movements
Aug 202223.3% of 301 movements
Sep 202239.1% of 304 movements
Oct 202228.0% of 350 movements
Nov 202212.1% of 388 movements
Dec 202245.6% of 379 movements
Jan 202322.3% of 364 movements
Feb 202322.2% of 356 movements
Mar 202334.0% of 362 movements
Apr 202322.1% of 340 movements
May 202323.9% of 356 movements
Jun 202338.5% of 358 movements
Jul 202348.6% of 405 movements
Aug 202346.5% of 413 movements
Sep 202344.0% of 402 movements
Oct 202338.2% of 422 movements
Nov 202327.1% of 432 movements
Dec 202365.5% of 412 movements
Jan 202427.4% of 343 movements
Feb 202423.5% of 383 movements
Mar 202418.8% of 416 movements
Apr 202437.5% of 413 movements
May 202437.8% of 407 movements
Jun 202450.8% of 390 movements
Jul 202460.6% of 416 movements
Aug 202452.9% of 412 movements
Sep 202460.1% of 411 movements
Oct 202437.9% of 419 movements
Nov 202421.5% of 419 movements
Dec 202436.3% of 410 movements
Jan 202521.0% of 385 movements
Feb 202513.0% of 376 movements
Mar 202516.4% of 428 movements
Apr 20256.2% of 419 movements
May 202515.5% of 412 movements
Jun 202522.3% of 394 movements
Jul 202531.1% of 405 movements
Aug 202515.5% of 387 movements
Sep 202533.8% of 399 movements
Oct 202527.4% of 413 movements
Nov 202519.5% of 415 movements
Dec 202531.2% of 432 movements
Jan 202633.0% of 367 movements
Feb 202619.8% of 373 movements
Mar 20269.8% of 430 movements
Apr 202618.9% of 386 movements
May 202616.0% of 387 movements
Jun 202625.1% of 378 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 2020Arrivalssuppressed: fewer than twenty movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departuressuppressed: fewer than twenty movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals48.2% of 276 movements20.7% across 2,536 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures54.9% of 275 movements27.3% across 2,524 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals46.5% of 413 movements30.0% across 4,263 flightsreturned after 3 months
NATS system failure · Aug 2023Departures51.1% of 413 movements38.8% across 4,264 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals16.4% of 428 movements37.4% across 4,874 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures19.3% of 425 movements37.5% across 4,867 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?

July has historically been the hardest month on this route: in a typical July, 40.8% of arrivals were disrupted, measured across 6 Julys in the archive. March has been the calmest, at 18.8% across 7 Marchs.

Even July has ranged from 31.1% to 60.6% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201920.7% of 444 movements21.8% of 422 movements25.2% of 465 movements17.5% of 423 movements15.0% of 439 movements29.7% of 424 movements31.8% of 440 movements30.1% of 435 movements32.2% of 410 movements32.4% of 447 movements10.2% of 442 movements21.2% of 430 movements202013.6% of 442 movements42.6% of 434 movements12.6% of 246 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements1.3% of 76 movements6.5% of 93 movementsno events in 126 movements3.2% of 188 movements10.9% of 64 movements12.2% of 41 movements †202114.3% of 35 movements †suppressed: fewer than twenty movements8.3% of 24 movements †7.5% of 40 movements †3.0% of 33 movements †8.5% of 47 movements †12.0% of 83 movements28.3% of 120 movements22.2% of 144 movements17.5% of 200 movements6.7% of 210 movements15.3% of 196 movements20229.0% of 122 movements24.7% of 178 movements12.9% of 232 movements21.8% of 340 movements31.5% of 368 movements46.4% of 343 movements48.2% of 276 movements23.3% of 301 movements39.1% of 304 movements28.0% of 350 movements12.1% of 388 movements45.6% of 379 movements202322.3% of 364 movements22.2% of 356 movements34.0% of 362 movements22.1% of 340 movements23.9% of 356 movements38.5% of 358 movements48.6% of 405 movements46.5% of 413 movements44.0% of 402 movements38.2% of 422 movements27.1% of 432 movements65.5% of 412 movements202427.4% of 343 movements23.5% of 383 movements18.8% of 416 movements37.5% of 413 movements37.8% of 407 movements50.8% of 390 movements60.6% of 416 movements52.9% of 412 movements60.1% of 411 movements37.9% of 419 movements21.5% of 419 movements36.3% of 410 movements202521.0% of 385 movements13.0% of 376 movements16.4% of 428 movements6.2% of 419 movements15.5% of 412 movements22.3% of 394 movements31.1% of 405 movements15.5% of 387 movements33.8% of 399 movements27.4% of 413 movements19.5% of 415 movements31.2% of 432 movements202633.0% of 367 movements19.8% of 373 movements9.8% of 430 movements18.9% of 386 movements16.0% of 387 movements25.1% of 378 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan22.3%9.0–33.0%7 months, 2,473 flights
Feb22.2%13.0–24.7%7 months, 2,515 flights
Mar18.8%9.8–34.0%7 months, 2,801 flights
Apr21.8%6.2–37.5%7 months, 2,733 flights
May23.9%15.0–37.8%7 months, 2,790 flights
Jun31.1%22.3–50.8%7 months, 2,695 flights
Jul40.8%31.1–60.6%6 months, 2,373 flights
Aug26.8%15.5–52.9%6 months, 2,356 flights
Sep36.5%31.6–60.1%6 months, 2,341 flights
Oct32.0%27.4–38.2%6 months, 2,495 flights
Nov20.5%10.2–27.1%6 months, 2,536 flights
Dec36.5%21.2–65.5%6 months, 2,494 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: Lufthansa 22.7% of 2,335 movements, British Airways 23.7% of 1,693 movements, Lufthansa City Airlines 24.6% of 743 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 Airways23.7% of 1,693 flightsLufthansa22.7% of 2,335 flightsLufthansa City Airlines24.6% of 743 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
British Airways1,69323.7% of 1,693 movements1.1% of 1,693 movements0.3% of 1,693 movementsdescriptive comparison
Delta Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lufthansa2,33522.7% of 2,335 movements2.6% of 2,335 movements0.0% of 2,335 movementsdescriptive comparison
Lufthansa City Airlines74324.6% of 743 movements0.9% of 743 movements0.3% of 743 movementsdescriptive comparison
Titan Airwayssuppressed: 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
Vietnam 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, BHX had the lowest disruption share at 29.9% of 472 movements and JER the highest at 80.0% of 25 movements — small sample, not ranked. This route sits at 23.4% of 4,772 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 ↔ Munich29.9% of 472 flightsBrs ↔ Munich35.5% of 107 flightsEdi ↔ Munich37.8% of 415 flightsJer ↔ Munich †80.0% of 25 flightsLgw ↔ Munich30.9% of 512 flightsMan ↔ Munich36.0% of 1,107 flightsStn ↔ Munich †31.8% of 22 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Munichsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Munichsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Munich47229.9% of 472 movements3.2% of 472 movements0.2% of 472 movementsdescriptive comparison
Boh ↔ Munichsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Munich10735.5% of 107 movements0.9% of 107 movementsno events in 107 movementsdescriptive comparison
Cwl ↔ Munichsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Munich41537.8% of 415 movements1.2% of 415 movements0.2% of 415 movementsdescriptive comparison
Ema ↔ Munichsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Munichsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Munichsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jer ↔ Munich2580.0% of 25 movements — small sample, not rankedno events in 25 movements — small sample, not rankedno events in 25 movements — small sample, not rankedsmall sample; not ranked
Lba ↔ Munichsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lcy ↔ Munichsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Munich51230.9% of 512 movements0.4% of 512 movements0.2% of 512 movementsdescriptive comparison
Lpl ↔ Munichsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Munichsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Munich1,10736.0% of 1,107 movements1.9% of 1,107 movements0.5% of 1,107 movementsdescriptive comparison
Ncl ↔ Munichsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sen ↔ Munichsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sou ↔ Munichsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Munich2231.8% of 22 movements — small sample, not rankedno events in 22 movements — small sample, not rankedno events in 22 movements — small sample, not rankedsmall sample; not ranked

Does the direction you are flying change anything?

Yes: arrivals into LHR ran 23.4% of 4,772 movements disrupted, departures 26.5% of 4,769 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 LHR23.4% of 4,772 movements1.8% of 4,772 movements0.2% of 4,772 movements
Departures from LHR26.5% of 4,769 movements1.7% of 4,769 movements0.1% of 4,769 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 33,47674 × £220 = £16,280
ArrivalsLast 72 months · Jul 2020–Jun 202655 flights out of 21,95655 × £220 = £12,100
DeparturesWhole archive · Jan 2018–Jun 202654 flights out of 33,43554 × £220 = £11,880
DeparturesLast 72 months · Jul 2020–Jun 202640 flights out of 21,92240 × £220 = £8,800
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 / countryMUNICH / GERMANY
Final point codesMUC / EDDM
Great-circle distance941 km
Maximum statutory amount for the band£220
Average operated arrivals per day12.84
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 archive101

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: 4,772; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

23.4% of 4,772 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

1.8% of 4,772 movements in the same window.

How many delays crossed three hours?

0.2% of 4,772 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?

941 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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