UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LGW ↔ INVERNESS

In the twelve months from July 2025 to June 2026, 25.7% of 887 movements arriving into LGW were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 74.3% of 887 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 177 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, 25.7% of 887 movements were disrupted and 0.6% of 887 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
25.7% of 887 movements0.6% of 887 movements27.3–55.1 min; N of delayed flights=223–418887
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: 0.6% of 887 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 min25.1%30 min14.1%60 min5.4%120 min1.4%180 min0.6%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min25.1% of 887 movements2234.0
>30 min14.1% of 887 movements1257.1
>60 min5.4% of 887 movements4818.5
>120 min1.4% of 887 movements1273.9
>180 min0.6% of 887 movements5177.4
>360 minno events in 887 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?

This route runs late less often than most, but when it does go wrong it tends to go badly wrong: its long delays are heavier than on the typical UK route.

The histogram below counts every recorded arrival, from more than fifteen minutes early through to more than six hours late. A tall bar near the middle and a thin right-hand tail is the healthy shape.

Nine delay buckets, minutes; share of all recorded operations>15 early11012.4%15–1 early35439.9%0–15 late19522.0%16–309811.0%31–60778.7%61…120364.1%121…18070.8%181…36050.6%>36000.0%D=887
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0286; 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: Oct 2021, 4.2% of 71 movements. Worst month: Sep 2023, 67.5% of 80 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: 7.6%; sample: 662018Feb 2018: 13.2%; sample: 68Mar 2018: 16.5%; sample: 79Apr 2018: 20.5%; sample: 78May 2018: 39.2%; sample: 79Jun 2018: 37.7%; sample: 77Jul 2018: 32.5%; sample: 80Aug 2018: 32.5%; sample: 80Sep 2018: 26.0%; sample: 77Oct 2018: 35.4%; sample: 79Nov 2018: 14.3%; sample: 70Dec 2018: 20.3%; sample: 74Jan 2019: 10.8%; sample: 652019Feb 2019: 18.8%; sample: 69Mar 2019: 15.0%; sample: 80Apr 2019: 14.3%; sample: 77May 2019: 19.0%; sample: 79Jun 2019: 42.1%; sample: 76Jul 2019: 61.7%; sample: 81Aug 2019: 51.2%; sample: 80Sep 2019: 47.4%; sample: 78Oct 2019: 31.6%; sample: 79Nov 2019: 9.9%; sample: 71Dec 2019: 26.7%; sample: 75Jan 2020: 6.6%; sample: 612020Feb 2020: 34.3%; sample: 70Mar 2020: 19.7%; sample: 61Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 0.0%; sample: 25Aug 2020: 2.6%; sample: 39Sep 2020: 2.4%; sample: 42Oct 2020: 0.0%; sample: 31Nov 2020: suppressed: fewer than twenty movements×Dec 2020: 5.0%; sample: 20Jan 2021: suppressed: fewer than twenty movements×2021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: no data×May 2021: suppressed: fewer than twenty movements×Jun 2021: 11.1%; sample: 45Jul 2021: 4.5%; sample: 67Aug 2021: 8.5%; sample: 71Sep 2021: 8.8%; sample: 68Oct 2021: 4.2%; sample: 71Nov 2021: 5.0%; sample: 60Dec 2021: 9.8%; sample: 61Jan 2022: 6.5%; sample: 312022Feb 2022: 12.0%; sample: 50Mar 2022: 7.5%; sample: 67Apr 2022: 15.3%; sample: 85May 2022: 37.1%; sample: 89Jun 2022: 34.6%; sample: 81Jul 2022: 39.7%; sample: 78Aug 2022: 43.0%; sample: 79Sep 2022: 46.3%; sample: 82Oct 2022: 23.8%; sample: 84Nov 2022: 23.2%; sample: 69Dec 2022: 42.0%; sample: 69Jan 2023: 6.2%; sample: 642023Feb 2023: 15.2%; sample: 66Mar 2023: 22.5%; sample: 71Apr 2023: 18.8%; sample: 85May 2023: 33.7%; sample: 89Jun 2023: 56.3%; sample: 87Jul 2023: 65.3%; sample: 75Aug 2023: 46.5%; sample: 71Sep 2023: 67.5%; sample: 80Oct 2023: 33.7%; sample: 86Nov 2023: 18.3%; sample: 60Dec 2023: 59.3%; sample: 59Jan 2024: 23.8%; sample: 632024Feb 2024: 36.2%; sample: 58Mar 2024: 43.5%; sample: 62Apr 2024: 11.0%; sample: 73May 2024: 18.3%; sample: 82Jun 2024: 39.0%; sample: 77Jul 2024: 51.4%; sample: 72Aug 2024: 57.1%; sample: 70Sep 2024: 64.2%; sample: 81Oct 2024: 45.7%; sample: 81Nov 2024: 18.3%; sample: 60Dec 2024: 25.4%; sample: 59Jan 2025: 17.7%; sample: 622025Feb 2025: 12.5%; sample: 56Mar 2025: 19.0%; sample: 63Apr 2025: 8.5%; sample: 82May 2025: 20.2%; sample: 84Jun 2025: 16.0%; sample: 75Jul 2025: 33.3%; sample: 63Aug 2025: 37.1%; sample: 62Sep 2025: 44.2%; sample: 86Oct 2025: 18.8%; sample: 85Nov 2025: 10.1%; sample: 69Dec 2025: 29.9%; sample: 67Jan 2026: 29.2%; sample: 652026Feb 2026: 11.3%; sample: 62Mar 2026: 20.5%; sample: 73Apr 2026: 16.3%; sample: 86May 2026: 33.7%; sample: 89Jun 2026: 22.5%; sample: 80Pandemic 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 20187.6% of 66 movements
Feb 201813.2% of 68 movements
Mar 201816.5% of 79 movements
Apr 201820.5% of 78 movements
May 201839.2% of 79 movements
Jun 201837.7% of 77 movements
Jul 201832.5% of 80 movements
Aug 201832.5% of 80 movements
Sep 201826.0% of 77 movements
Oct 201835.4% of 79 movements
Nov 201814.3% of 70 movements
Dec 201820.3% of 74 movements
Jan 201910.8% of 65 movements
Feb 201918.8% of 69 movements
Mar 201915.0% of 80 movements
Apr 201914.3% of 77 movements
May 201919.0% of 79 movements
Jun 201942.1% of 76 movements
Jul 201961.7% of 81 movements
Aug 201951.2% of 80 movements
Sep 201947.4% of 78 movements
Oct 201931.6% of 79 movements
Nov 20199.9% of 71 movements
Dec 201926.7% of 75 movements
Jan 20206.6% of 61 movements
Feb 202034.3% of 70 movements
Mar 202019.7% of 61 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 2020no events in 25 movements — small sample, not ranked
Aug 20202.6% of 39 movements — small sample, not ranked
Sep 20202.4% of 42 movements — small sample, not ranked
Oct 2020no events in 31 movements — small sample, not ranked
Nov 2020suppressed: fewer than twenty movements
Dec 20205.0% of 20 movements — small sample, not ranked
Jan 2021suppressed: fewer than twenty movements
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 2021no data
May 2021suppressed: fewer than twenty movements
Jun 202111.1% of 45 movements — small sample, not ranked
Jul 20214.5% of 67 movements
Aug 20218.5% of 71 movements
Sep 20218.8% of 68 movements
Oct 20214.2% of 71 movements
Nov 20215.0% of 60 movements
Dec 20219.8% of 61 movements
Jan 20226.5% of 31 movements — small sample, not ranked
Feb 202212.0% of 50 movements
Mar 20227.5% of 67 movements
Apr 202215.3% of 85 movements
May 202237.1% of 89 movements
Jun 202234.6% of 81 movements
Jul 202239.7% of 78 movements
Aug 202243.0% of 79 movements
Sep 202246.3% of 82 movements
Oct 202223.8% of 84 movements
Nov 202223.2% of 69 movements
Dec 202242.0% of 69 movements
Jan 20236.2% of 64 movements
Feb 202315.2% of 66 movements
Mar 202322.5% of 71 movements
Apr 202318.8% of 85 movements
May 202333.7% of 89 movements
Jun 202356.3% of 87 movements
Jul 202365.3% of 75 movements
Aug 202346.5% of 71 movements
Sep 202367.5% of 80 movements
Oct 202333.7% of 86 movements
Nov 202318.3% of 60 movements
Dec 202359.3% of 59 movements
Jan 202423.8% of 63 movements
Feb 202436.2% of 58 movements
Mar 202443.5% of 62 movements
Apr 202411.0% of 73 movements
May 202418.3% of 82 movements
Jun 202439.0% of 77 movements
Jul 202451.4% of 72 movements
Aug 202457.1% of 70 movements
Sep 202464.2% of 81 movements
Oct 202445.7% of 81 movements
Nov 202418.3% of 60 movements
Dec 202425.4% of 59 movements
Jan 202517.7% of 62 movements
Feb 202512.5% of 56 movements
Mar 202519.0% of 63 movements
Apr 20258.5% of 82 movements
May 202520.2% of 84 movements
Jun 202516.0% of 75 movements
Jul 202533.3% of 63 movements
Aug 202537.1% of 62 movements
Sep 202544.2% of 86 movements
Oct 202518.8% of 85 movements
Nov 202510.1% of 69 movements
Dec 202529.9% of 67 movements
Jan 202629.2% of 65 movements
Feb 202611.3% of 62 movements
Mar 202620.5% of 73 movements
Apr 202616.3% of 86 movements
May 202633.7% of 89 movements
Jun 202622.5% of 80 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 2022Arrivals39.7% of 78 movements12.8% across 801 flightsreturned after 6 months
Summer 2022 breakdown · Jul 2022Departures64.6% of 79 movements17.5% across 801 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals46.5% of 71 movements33.0% across 920 flightsreturned after 3 months
NATS system failure · Aug 2023Departures65.7% of 70 movements35.4% across 918 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals19.0% of 63 movements33.7% across 835 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures15.9% of 63 movements35.6% across 835 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, 46.9% of arrivals were disrupted, measured across 6 Septembers in the archive. January has been the calmest, at 10.8% across 7 Januarys.

Even September has ranged from 26.0% to 67.5% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201910.8% of 65 movements18.8% of 69 movements15.0% of 80 movements14.3% of 77 movements19.0% of 79 movements42.1% of 76 movements61.7% of 81 movements51.2% of 80 movements47.4% of 78 movements31.6% of 79 movements9.9% of 71 movements26.7% of 75 movements20206.6% of 61 movements34.3% of 70 movements19.7% of 61 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno events in 25 movements †2.6% of 39 movements †2.4% of 42 movements †no events in 31 movements †suppressed: fewer than twenty movements5.0% of 20 movements †2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno datasuppressed: fewer than twenty movements11.1% of 45 movements †4.5% of 67 movements8.5% of 71 movements8.8% of 68 movements4.2% of 71 movements5.0% of 60 movements9.8% of 61 movements20226.5% of 31 movements †12.0% of 50 movements7.5% of 67 movements15.3% of 85 movements37.1% of 89 movements34.6% of 81 movements39.7% of 78 movements43.0% of 79 movements46.3% of 82 movements23.8% of 84 movements23.2% of 69 movements42.0% of 69 movements20236.2% of 64 movements15.2% of 66 movements22.5% of 71 movements18.8% of 85 movements33.7% of 89 movements56.3% of 87 movements65.3% of 75 movements46.5% of 71 movements67.5% of 80 movements33.7% of 86 movements18.3% of 60 movements59.3% of 59 movements202423.8% of 63 movements36.2% of 58 movements43.5% of 62 movements11.0% of 73 movements18.3% of 82 movements39.0% of 77 movements51.4% of 72 movements57.1% of 70 movements64.2% of 81 movements45.7% of 81 movements18.3% of 60 movements25.4% of 59 movements202517.7% of 62 movements12.5% of 56 movements19.0% of 63 movements8.5% of 82 movements20.2% of 84 movements16.0% of 75 movements33.3% of 63 movements37.1% of 62 movements44.2% of 86 movements18.8% of 85 movements10.1% of 69 movements29.9% of 67 movements202629.2% of 65 movements11.3% of 62 movements20.5% of 73 movements16.3% of 86 movements33.7% of 89 movements22.5% of 80 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan10.8%6.2–29.2%7 months, 416 flights
Feb13.2%11.3–36.2%7 months, 429 flights
Mar19.0%7.5–43.5%7 months, 495 flights
Apr15.3%8.5–20.5%7 months, 566 flights
May33.7%18.3–39.2%7 months, 591 flights
Jun37.7%16.0–56.3%7 months, 553 flights
Jul45.6%32.5–65.3%6 months, 449 flights
Aug44.8%32.5–57.1%6 months, 442 flights
Sep46.9%26.0–67.5%6 months, 484 flights
Oct32.7%18.8–45.7%6 months, 494 flights
Nov16.3%9.9–23.2%6 months, 399 flights
Dec28.3%20.3–59.3%6 months, 403 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?

Only one carrier published enough flights here to report: Easyjet Uk Ltd, 25.6% of 885 movements disrupted.

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 optionEasyjet Uk25.6% of 885 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Blue Islandssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Airlinesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Uk88525.6% of 885 movements0.6% of 885 movements0.6% of 885 movementsdescriptive comparison
Royal Air Marocsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Tui 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, BHD had the lowest disruption share at 15.4% of 169 movements and LTN the highest at 44.4% of 559 movements. This route sits at 25.7% of 887 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 optionBhd ↔ Inverness15.4% of 169 flightsBhx ↔ Inverness †38.5% of 26 flightsBrs ↔ Inverness29.7% of 303 flightsLhr ↔ Inverness24.6% of 763 flightsLtn ↔ Inverness44.4% of 559 flightsMan ↔ Inverness18.3% of 268 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Invernesssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Invernesssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Inverness16915.4% of 169 movements2.4% of 169 movements1.2% of 169 movementsdescriptive comparison
Bhx ↔ Inverness2638.5% of 26 movements — small sample, not rankedno events in 26 movements — small sample, not rankedno events in 26 movements — small sample, not rankedsmall sample; not ranked
Boh ↔ Invernesssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Inverness30329.7% of 303 movements0.7% of 303 movementsno events in 303 movementsdescriptive comparison
Doncaster-Sheffield ↔ Invernesssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Invernesssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ema ↔ Invernesssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Invernesssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Invernesssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Iom ↔ Invernesssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jer ↔ Invernesssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Invernesssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lhr ↔ Inverness76324.6% of 763 movements1.0% of 763 movements0.4% of 763 movementsdescriptive comparison
Lpl ↔ Invernesssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Inverness55944.4% of 559 movements2.0% of 559 movements0.5% of 559 movementsdescriptive comparison
Man ↔ Inverness26818.3% of 268 movements1.5% of 268 movements0.4% of 268 movementsdescriptive comparison
Mme ↔ Invernesssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sen ↔ Invernesssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Invernesssuppressed: 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 LGW ran 25.7% of 887 movements disrupted, departures 25.7% of 886 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 LGW25.7% of 887 movements0.6% of 887 movements0.6% of 887 movements
Departures from LGW25.7% of 886 movements0.6% of 886 movements0.3% of 886 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 202637 flights out of 6,55437 × £220 = £8,140
ArrivalsLast 72 months · Jul 2020–Jun 202625 flights out of 4,53625 × £220 = £5,500
DeparturesWhole archive · Jan 2018–Jun 202619 flights out of 6,55219 × £220 = £4,180
DeparturesLast 72 months · Jul 2020–Jun 202611 flights out of 4,53411 × £220 = £2,420
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 airportGATWICK · LGW
Final point / countryINVERNESS / UNITED KINGDOM
Final point codesINV / EGPE
Great-circle distance753 km
Maximum statutory amount for the band£220
Average operated arrivals per day2.42
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 archive97

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: 887; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

25.7% of 887 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.6% of 887 movements in the same window.

How many delays crossed three hours?

0.6% of 887 movements in the same window; these are observed movements, not a count of claims.

What does the delay distribution look like?

rare but severe. The class compares the tail with short delays across routes in the corpus.

What distance is used?

753 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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