UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LGW ↔ BUDAPEST

In the twelve months from July 2025 to June 2026, 28.1% of 730 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, 71.9% of 730 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 243 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, 28.1% of 730 movements were disrupted and 0.1% of 730 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
28.1% of 730 movements0.1% of 730 movements38.5–63.1 min; N of delayed flights=204–315730
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: 0.1% of 730 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 min27.9%30 min18.2%60 min10.1%120 min1.9%180 min0.4%360 min0.3%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min27.9% of 730 movements2043.6
>30 min18.2% of 730 movements1335.5
>60 min10.1% of 730 movements749.9
>120 min1.9% of 730 movements1452.1
>180 min0.4% of 730 movements3243.3
>360 min0.3% of 730 movements2365.0
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?

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 early19526.7%15–1 early21930.0%0–15 late11115.2%16–30719.7%31–60598.1%61…120608.2%121…180111.5%181…36010.1%>36020.3%D=730
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0231; 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: Feb 2025, 7.2% of 69 movements. Worst month: Jun 2022, 83.9% of 56 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: 23.8%; sample: 422018Feb 2018: 27.9%; sample: 43Mar 2018: 33.3%; sample: 48Apr 2018: 15.9%; sample: 44May 2018: 36.4%; sample: 44Jun 2018: 66.7%; sample: 42Jul 2018: 68.9%; sample: 45Aug 2018: 77.3%; sample: 44Sep 2018: 76.7%; sample: 43Oct 2018: 55.6%; sample: 45Nov 2018: 33.3%; sample: 48Dec 2018: 58.8%; sample: 51Jan 2019: 53.7%; sample: 412019Feb 2019: 52.3%; sample: 44Mar 2019: 50.0%; sample: 50Apr 2019: 30.8%; sample: 78May 2019: 60.0%; sample: 80Jun 2019: 74.4%; sample: 78Jul 2019: 83.5%; sample: 79Aug 2019: 80.0%; sample: 80Sep 2019: 69.2%; sample: 78Oct 2019: 57.7%; sample: 78Nov 2019: 23.3%; sample: 73Dec 2019: 46.7%; sample: 90Jan 2020: 39.2%; sample: 792020Feb 2020: 53.8%; sample: 80Mar 2020: 27.4%; sample: 62Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 3.8%; sample: 26Aug 2020: 8.7%; sample: 46Sep 2020: 5.0%; sample: 20Oct 2020: 4.3%; sample: 23Nov 2020: suppressed: fewer than twenty movements×Dec 2020: suppressed: fewer than twenty movements×Jan 2021: suppressed: fewer than twenty movements×2021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: suppressed: fewer than twenty movements×May 2021: suppressed: fewer than twenty movements×Jun 2021: suppressed: fewer than twenty movements×Jul 2021: suppressed: fewer than twenty movements×Aug 2021: suppressed: fewer than twenty movements×Sep 2021: suppressed: fewer than twenty movements×Oct 2021: suppressed: fewer than twenty movements×Nov 2021: suppressed: fewer than twenty movements×Dec 2021: 27.3%; sample: 33Jan 2022: suppressed: fewer than twenty movements×2022Feb 2022: suppressed: fewer than twenty movements×Mar 2022: 17.6%; sample: 34Apr 2022: 20.0%; sample: 60May 2022: 56.1%; sample: 66Jun 2022: 83.9%; sample: 56Jul 2022: 86.5%; sample: 37Aug 2022: 56.8%; sample: 37Sep 2022: 73.0%; sample: 37Oct 2022: 50.0%; sample: 54Nov 2022: 15.2%; sample: 46Dec 2022: 55.2%; sample: 58Jan 2023: 28.6%; sample: 422023Feb 2023: 26.8%; sample: 41Mar 2023: 16.0%; sample: 50Apr 2023: 18.2%; sample: 44May 2023: 44.9%; sample: 49Jun 2023: 58.0%; sample: 50Jul 2023: 77.4%; sample: 53Aug 2023: 52.0%; sample: 50Sep 2023: 53.1%; sample: 49Oct 2023: 50.0%; sample: 52Nov 2023: 15.9%; sample: 44Dec 2023: 45.3%; sample: 53Jan 2024: 25.6%; sample: 392024Feb 2024: 36.6%; sample: 41Mar 2024: 28.9%; sample: 45Apr 2024: 26.4%; sample: 53May 2024: 30.4%; sample: 56Jun 2024: 66.7%; sample: 51Jul 2024: 79.2%; sample: 48Aug 2024: 75.5%; sample: 49Sep 2024: 70.4%; sample: 54Oct 2024: 38.8%; sample: 49Nov 2024: 14.3%; sample: 42Dec 2024: 27.8%; sample: 90Jan 2025: 16.9%; sample: 712025Feb 2025: 7.2%; sample: 69Mar 2025: 8.1%; sample: 86Apr 2025: 17.8%; sample: 90May 2025: 21.7%; sample: 92Jun 2025: 21.3%; sample: 89Jul 2025: 42.9%; sample: 70Aug 2025: 48.5%; sample: 68Sep 2025: 46.2%; sample: 78Oct 2025: 30.7%; sample: 75Nov 2025: 15.6%; sample: 45Dec 2025: 15.8%; sample: 76Jan 2026: 23.3%; sample: 432026Feb 2026: 14.6%; sample: 41Mar 2026: 14.5%; sample: 55Apr 2026: 15.0%; sample: 60May 2026: 21.2%; sample: 66Jun 2026: 32.1%; sample: 53Pandemic 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 201823.8% of 42 movements — small sample, not ranked
Feb 201827.9% of 43 movements — small sample, not ranked
Mar 201833.3% of 48 movements — small sample, not ranked
Apr 201815.9% of 44 movements — small sample, not ranked
May 201836.4% of 44 movements — small sample, not ranked
Jun 201866.7% of 42 movements — small sample, not ranked
Jul 201868.9% of 45 movements — small sample, not ranked
Aug 201877.3% of 44 movements — small sample, not ranked
Sep 201876.7% of 43 movements — small sample, not ranked
Oct 201855.6% of 45 movements — small sample, not ranked
Nov 201833.3% of 48 movements — small sample, not ranked
Dec 201858.8% of 51 movements
Jan 201953.7% of 41 movements — small sample, not ranked
Feb 201952.3% of 44 movements — small sample, not ranked
Mar 201950.0% of 50 movements
Apr 201930.8% of 78 movements
May 201960.0% of 80 movements
Jun 201974.4% of 78 movements
Jul 201983.5% of 79 movements
Aug 201980.0% of 80 movements
Sep 201969.2% of 78 movements
Oct 201957.7% of 78 movements
Nov 201923.3% of 73 movements
Dec 201946.7% of 90 movements
Jan 202039.2% of 79 movements
Feb 202053.8% of 80 movements
Mar 202027.4% of 62 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 20203.8% of 26 movements — small sample, not ranked
Aug 20208.7% of 46 movements — small sample, not ranked
Sep 20205.0% of 20 movements — small sample, not ranked
Oct 20204.3% of 23 movements — small sample, not ranked
Nov 2020suppressed: fewer than twenty movements
Dec 2020suppressed: fewer than twenty movements
Jan 2021suppressed: fewer than twenty movements
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 2021suppressed: fewer than twenty movements
May 2021suppressed: fewer than twenty movements
Jun 2021suppressed: fewer than twenty movements
Jul 2021suppressed: fewer than twenty movements
Aug 2021suppressed: fewer than twenty movements
Sep 2021suppressed: fewer than twenty movements
Oct 2021suppressed: fewer than twenty movements
Nov 2021suppressed: fewer than twenty movements
Dec 202127.3% of 33 movements — small sample, not ranked
Jan 2022suppressed: fewer than twenty movements
Feb 2022suppressed: fewer than twenty movements
Mar 202217.6% of 34 movements — small sample, not ranked
Apr 202220.0% of 60 movements
May 202256.1% of 66 movements
Jun 202283.9% of 56 movements
Jul 202286.5% of 37 movements — small sample, not ranked
Aug 202256.8% of 37 movements — small sample, not ranked
Sep 202273.0% of 37 movements — small sample, not ranked
Oct 202250.0% of 54 movements
Nov 202215.2% of 46 movements — small sample, not ranked
Dec 202255.2% of 58 movements
Jan 202328.6% of 42 movements — small sample, not ranked
Feb 202326.8% of 41 movements — small sample, not ranked
Mar 202316.0% of 50 movements
Apr 202318.2% of 44 movements — small sample, not ranked
May 202344.9% of 49 movements — small sample, not ranked
Jun 202358.0% of 50 movements
Jul 202377.4% of 53 movements
Aug 202352.0% of 50 movements
Sep 202353.1% of 49 movements — small sample, not ranked
Oct 202350.0% of 52 movements
Nov 202315.9% of 44 movements — small sample, not ranked
Dec 202345.3% of 53 movements
Jan 202425.6% of 39 movements — small sample, not ranked
Feb 202436.6% of 41 movements — small sample, not ranked
Mar 202428.9% of 45 movements — small sample, not ranked
Apr 202426.4% of 53 movements
May 202430.4% of 56 movements
Jun 202466.7% of 51 movements
Jul 202479.2% of 48 movements — small sample, not ranked
Aug 202475.5% of 49 movements — small sample, not ranked
Sep 202470.4% of 54 movements
Oct 202438.8% of 49 movements — small sample, not ranked
Nov 202414.3% of 42 movements — small sample, not ranked
Dec 202427.8% of 90 movements
Jan 202516.9% of 71 movements
Feb 20257.2% of 69 movements
Mar 20258.1% of 86 movements
Apr 202517.8% of 90 movements
May 202521.7% of 92 movements
Jun 202521.3% of 89 movements
Jul 202542.9% of 70 movements
Aug 202548.5% of 68 movements
Sep 202546.2% of 78 movements
Oct 202530.7% of 75 movements
Nov 202515.6% of 45 movements — small sample, not ranked
Dec 202515.8% of 76 movements
Jan 202623.3% of 43 movements — small sample, not ranked
Feb 202614.6% of 41 movements — small sample, not ranked
Mar 202614.5% of 55 movements
Apr 202615.0% of 60 movements
May 202621.2% of 66 movements
Jun 202632.1% of 53 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 2022Arrivals86.5% of 37 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures86.1% of 36 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals52.0% of 50 movements43.3% across 561 flightsreturned after 3 months
NATS system failure · Aug 2023Departures52.0% of 50 movements47.3% across 561 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals8.1% of 86 movements40.2% across 677 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures15.3% of 85 movements41.5% across 674 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, 78.3% of arrivals were disrupted, measured across 6 Julys in the archive. November has been the calmest, at 15.7% across 6 Novembers.

Even July has ranged from 42.9% to 86.5% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201953.7% of 41 movements †52.3% of 44 movements †50.0% of 50 movements30.8% of 78 movements60.0% of 80 movements74.4% of 78 movements83.5% of 79 movements80.0% of 80 movements69.2% of 78 movements57.7% of 78 movements23.3% of 73 movements46.7% of 90 movements202039.2% of 79 movements53.8% of 80 movements27.4% of 62 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements3.8% of 26 movements †8.7% of 46 movements †5.0% of 20 movements †4.3% of 23 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements27.3% of 33 movements †2022suppressed: fewer than twenty movementssuppressed: fewer than twenty movements17.6% of 34 movements †20.0% of 60 movements56.1% of 66 movements83.9% of 56 movements86.5% of 37 movements †56.8% of 37 movements †73.0% of 37 movements †50.0% of 54 movements15.2% of 46 movements †55.2% of 58 movements202328.6% of 42 movements †26.8% of 41 movements †16.0% of 50 movements18.2% of 44 movements †44.9% of 49 movements †58.0% of 50 movements77.4% of 53 movements52.0% of 50 movements53.1% of 49 movements †50.0% of 52 movements15.9% of 44 movements †45.3% of 53 movements202425.6% of 39 movements †36.6% of 41 movements †28.9% of 45 movements †26.4% of 53 movements30.4% of 56 movements66.7% of 51 movements79.2% of 48 movements †75.5% of 49 movements †70.4% of 54 movements38.8% of 49 movements †14.3% of 42 movements †27.8% of 90 movements202516.9% of 71 movements7.2% of 69 movements8.1% of 86 movements17.8% of 90 movements21.7% of 92 movements21.3% of 89 movements42.9% of 70 movements48.5% of 68 movements46.2% of 78 movements30.7% of 75 movements15.6% of 45 movements †15.8% of 76 movements202623.3% of 43 movements †14.6% of 41 movements †14.5% of 55 movements15.0% of 60 movements21.2% of 66 movements32.1% of 53 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan24.7%16.9–53.7%6 months, 278 flights
Feb27.4%7.2–52.3%6 months, 279 flights
Mar17.6%8.1–50.0%7 months, 368 flights
Apr18.2%15.0–30.8%7 months, 429 flights
May36.4%21.2–60.0%7 months, 453 flights
Jun66.7%21.3–83.9%7 months, 419 flights
Jul78.3%42.9–86.5%6 months, 332 flights
Aug66.1%48.5–80.0%6 months, 328 flights
Sep69.8%46.2–76.7%6 months, 339 flights
Oct50.0%30.7–57.7%6 months, 353 flights
Nov15.7%14.3–33.3%6 months, 298 flights
Dec46.0%15.8–58.8%6 months, 418 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: Easyjet Uk 24.1% of 286 movements, Wizz Air 25.9% of 409 movements, Tui Airways 87.1% of 31 movements — small sample, not ranked. 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 optionEasyjet Uk24.1% of 286 flightsTui Airways †87.1% of 31 flightsWizz Air25.9% of 409 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Easyjet Airlinesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Uk28624.1% of 286 movementsno events in 286 movementsno events in 286 movementsdescriptive comparison
Enter Airsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Hi Fly Maltasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jet2.Comsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Norwegian Air Internationalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ryanairsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Smartwingssuppressed: 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
Tui Airways3187.1% of 31 movements — small sample, not rankedno events in 31 movements — small sample, not rankedno events in 31 movements — small sample, not rankedsmall sample; not ranked
Wizz Air40925.9% of 409 movements0.2% of 409 movements0.7% of 409 movementsdescriptive comparison
Wizz Air Uksuppressed: 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, EMA had the lowest disruption share at 10.8% of 111 movements and BFS the highest at 38.9% of 95 movements. This route sits at 28.1% of 730 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 optionBfs ↔ Budapest38.9% of 95 flightsBhx ↔ Budapest23.1% of 351 flightsBrs ↔ Budapest30.0% of 293 flightsEdi ↔ Budapest21.9% of 379 flightsEma ↔ Budapest10.8% of 111 flightsGla ↔ Budapest †32.7% of 49 flightsLba ↔ Budapest22.1% of 68 flightsLhr ↔ Budapest20.2% of 1,310 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Budapestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Budapest9538.9% of 95 movementsno events in 95 movements2.1% of 95 movementsdescriptive comparison
Bhd ↔ Budapestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Budapest35123.1% of 351 movementsno events in 351 movements0.9% of 351 movementsdescriptive comparison
Boh ↔ Budapestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Budapest29330.0% of 293 movementsno events in 293 movementsno events in 293 movementsdescriptive comparison
Cwl ↔ Budapestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Budapestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Budapest37921.9% of 379 movements0.5% of 379 movements0.3% of 379 movementsdescriptive comparison
Ema ↔ Budapest11110.8% of 111 movementsno events in 111 movements0.9% of 111 movementsdescriptive comparison
Gla ↔ Budapest4932.7% of 49 movements — small sample, not rankedno events in 49 movements — small sample, not ranked2.0% of 49 movements — small sample, not rankedsmall sample; not ranked
Lba ↔ Budapest6822.1% of 68 movementsno events in 68 movementsno events in 68 movementsdescriptive comparison
Lcy ↔ Budapestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lhr ↔ Budapest1,31020.2% of 1,310 movements0.9% of 1,310 movements0.5% of 1,310 movementsdescriptive comparison
Lpl ↔ Budapest13810.9% of 138 movementsno events in 138 movementsno events in 138 movementsdescriptive comparison
Ltn ↔ Budapest1,06219.8% of 1,062 movements0.1% of 1,062 movements0.2% of 1,062 movementsdescriptive comparison
Man ↔ Budapest65230.1% of 652 movements0.2% of 652 movementsno events in 652 movementsdescriptive comparison
Ncl ↔ Budapest12912.4% of 129 movementsno events in 129 movementsno events in 129 movementsdescriptive comparison
Sen ↔ Budapestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Budapest1,34920.5% of 1,349 movements0.2% of 1,349 movements0.1% of 1,349 movementsdescriptive comparison

Does the direction you are flying change anything?

Barely: arrivals into LGW ran 28.1% of 730 movements disrupted, departures 30.5% of 725 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 LGW28.1% of 730 movements0.1% of 730 movements0.4% of 730 movements
Departures from LGW30.5% of 725 movements0.1% of 725 movements0.7% of 725 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 202648 flights out of 4,79548 × £220 = £10,560
ArrivalsLast 72 months · Jul 2020–Jun 202640 flights out of 3,16440 × £220 = £8,800
DeparturesWhole archive · Jan 2018–Jun 202652 flights out of 4,78252 × £220 = £11,440
DeparturesLast 72 months · Jul 2020–Jun 202646 flights out of 3,14846 × £220 = £10,120
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 / countryBUDAPEST / HUNGARY
Final point codesBUD / LHBP
Great-circle distance1,465 km
Maximum statutory amount for the band£220
Average operated arrivals per day2.00
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 archive99

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: 730; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

28.1% of 730 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.1% of 730 movements in the same window.

How many delays crossed three hours?

0.4% of 730 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?

1,465 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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