UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LTN ↔ GDANSK

In the twelve months from July 2025 to June 2026, 13.5% of 624 movements arriving into LTN were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 86.5% of 624 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 156 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, 13.5% of 624 movements were disrupted and no events in 624 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
13.5% of 624 movementsno events in 624 movements21.0–68.0 min; N of delayed flights=84–242624
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: no events in 624 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 min13.5%30 min7.5%60 min2.9%120 min1.1%180 min0.6%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min13.5% of 624 movements847.4
>30 min7.5% of 624 movements4713.3
>60 min2.9% of 624 movements1834.7
>120 min1.1% of 624 movements789.1
>180 min0.6% of 624 movements4156.0
>360 minno events in 624 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 early10717.1%15–1 early27544.1%0–15 late15825.3%16–30375.9%31–60294.6%61…120111.8%121…18030.5%181…36040.6%>36000.0%D=624
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0606; 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 2018, 2.9% of 68 movements. Worst month: Oct 2022, 52.0% of 50 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: 31.5%; sample: 732018Feb 2018: 19.7%; sample: 61Mar 2018: 18.1%; sample: 72Apr 2018: 23.8%; sample: 80May 2018: 15.1%; sample: 73Jun 2018: 16.7%; sample: 78Jul 2018: 20.2%; sample: 84Aug 2018: 27.9%; sample: 86Sep 2018: 10.1%; sample: 79Oct 2018: 5.2%; sample: 77Nov 2018: 2.9%; sample: 68Dec 2018: 21.8%; sample: 78Jan 2019: 15.9%; sample: 692019Feb 2019: 8.2%; sample: 61Mar 2019: 8.8%; sample: 68Apr 2019: 3.9%; sample: 76May 2019: 11.7%; sample: 77Jun 2019: 28.6%; sample: 77Jul 2019: 10.7%; sample: 75Aug 2019: 12.8%; sample: 78Sep 2019: 22.4%; sample: 76Oct 2019: 31.0%; sample: 71Nov 2019: 16.1%; sample: 56Dec 2019: 16.4%; sample: 67Jan 2020: 13.2%; sample: 532020Feb 2020: 19.0%; sample: 42Mar 2020: 32.1%; sample: 28Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 17.5%; sample: 40Aug 2020: 14.0%; sample: 50Sep 2020: 2.0%; sample: 49Oct 2020: 10.3%; sample: 29Nov 2020: suppressed: fewer than twenty movements×Dec 2020: 33.3%; sample: 30Jan 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: 12.0%; sample: 25Jul 2021: 13.6%; sample: 22Aug 2021: 9.1%; sample: 44Sep 2021: 15.2%; sample: 46Oct 2021: 19.1%; sample: 47Nov 2021: 5.6%; sample: 36Dec 2021: 36.7%; sample: 49Jan 2022: 29.4%; sample: 342022Feb 2022: 27.6%; sample: 29Mar 2022: 9.8%; sample: 41Apr 2022: 39.5%; sample: 43May 2022: 22.2%; sample: 45Jun 2022: 23.3%; sample: 43Jul 2022: 27.6%; sample: 58Aug 2022: 28.6%; sample: 63Sep 2022: 34.0%; sample: 50Oct 2022: 52.0%; sample: 50Nov 2022: 9.1%; sample: 44Dec 2022: 27.3%; sample: 55Jan 2023: 18.8%; sample: 482023Feb 2023: 12.8%; sample: 47Mar 2023: 16.4%; sample: 55Apr 2023: 8.3%; sample: 60May 2023: 6.7%; sample: 60Jun 2023: 25.0%; sample: 60Jul 2023: 16.4%; sample: 61Aug 2023: 20.6%; sample: 63Sep 2023: 8.3%; sample: 60Oct 2023: 24.6%; sample: 61Nov 2023: 27.5%; sample: 51Dec 2023: 27.0%; sample: 63Jan 2024: 44.1%; sample: 592024Feb 2024: 22.2%; sample: 54Mar 2024: 14.0%; sample: 50Apr 2024: 8.5%; sample: 59May 2024: 16.4%; sample: 61Jun 2024: 21.3%; sample: 61Jul 2024: 31.1%; sample: 61Aug 2024: 38.1%; sample: 63Sep 2024: 26.7%; sample: 60Oct 2024: 30.6%; sample: 62Nov 2024: 16.7%; sample: 60Dec 2024: 10.3%; sample: 58Jan 2025: 29.5%; sample: 612025Feb 2025: 16.1%; sample: 56Mar 2025: 9.1%; sample: 55Apr 2025: 7.7%; sample: 65May 2025: 6.2%; sample: 64Jun 2025: 6.6%; sample: 61Jul 2025: 3.2%; sample: 62Aug 2025: 4.8%; sample: 62Sep 2025: 14.5%; sample: 62Oct 2025: 11.1%; sample: 63Nov 2025: 12.8%; sample: 47Dec 2025: 22.4%; sample: 49Jan 2026: 37.8%; sample: 452026Feb 2026: 23.8%; sample: 42Mar 2026: 2.0%; sample: 49Apr 2026: 17.0%; sample: 47May 2026: 2.0%; sample: 49Jun 2026: 19.1%; sample: 47Pandemic 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 201831.5% of 73 movements
Feb 201819.7% of 61 movements
Mar 201818.1% of 72 movements
Apr 201823.8% of 80 movements
May 201815.1% of 73 movements
Jun 201816.7% of 78 movements
Jul 201820.2% of 84 movements
Aug 201827.9% of 86 movements
Sep 201810.1% of 79 movements
Oct 20185.2% of 77 movements
Nov 20182.9% of 68 movements
Dec 201821.8% of 78 movements
Jan 201915.9% of 69 movements
Feb 20198.2% of 61 movements
Mar 20198.8% of 68 movements
Apr 20193.9% of 76 movements
May 201911.7% of 77 movements
Jun 201928.6% of 77 movements
Jul 201910.7% of 75 movements
Aug 201912.8% of 78 movements
Sep 201922.4% of 76 movements
Oct 201931.0% of 71 movements
Nov 201916.1% of 56 movements
Dec 201916.4% of 67 movements
Jan 202013.2% of 53 movements
Feb 202019.0% of 42 movements — small sample, not ranked
Mar 202032.1% of 28 movements — small sample, not ranked
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 202017.5% of 40 movements — small sample, not ranked
Aug 202014.0% of 50 movements
Sep 20202.0% of 49 movements — small sample, not ranked
Oct 202010.3% of 29 movements — small sample, not ranked
Nov 2020suppressed: fewer than twenty movements
Dec 202033.3% of 30 movements — small sample, not ranked
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 202112.0% of 25 movements — small sample, not ranked
Jul 202113.6% of 22 movements — small sample, not ranked
Aug 20219.1% of 44 movements — small sample, not ranked
Sep 202115.2% of 46 movements — small sample, not ranked
Oct 202119.1% of 47 movements — small sample, not ranked
Nov 20215.6% of 36 movements — small sample, not ranked
Dec 202136.7% of 49 movements — small sample, not ranked
Jan 202229.4% of 34 movements — small sample, not ranked
Feb 202227.6% of 29 movements — small sample, not ranked
Mar 20229.8% of 41 movements — small sample, not ranked
Apr 202239.5% of 43 movements — small sample, not ranked
May 202222.2% of 45 movements — small sample, not ranked
Jun 202223.3% of 43 movements — small sample, not ranked
Jul 202227.6% of 58 movements
Aug 202228.6% of 63 movements
Sep 202234.0% of 50 movements
Oct 202252.0% of 50 movements
Nov 20229.1% of 44 movements — small sample, not ranked
Dec 202227.3% of 55 movements
Jan 202318.8% of 48 movements — small sample, not ranked
Feb 202312.8% of 47 movements — small sample, not ranked
Mar 202316.4% of 55 movements
Apr 20238.3% of 60 movements
May 20236.7% of 60 movements
Jun 202325.0% of 60 movements
Jul 202316.4% of 61 movements
Aug 202320.6% of 63 movements
Sep 20238.3% of 60 movements
Oct 202324.6% of 61 movements
Nov 202327.5% of 51 movements
Dec 202327.0% of 63 movements
Jan 202444.1% of 59 movements
Feb 202422.2% of 54 movements
Mar 202414.0% of 50 movements
Apr 20248.5% of 59 movements
May 202416.4% of 61 movements
Jun 202421.3% of 61 movements
Jul 202431.1% of 61 movements
Aug 202438.1% of 63 movements
Sep 202426.7% of 60 movements
Oct 202430.6% of 62 movements
Nov 202416.7% of 60 movements
Dec 202410.3% of 58 movements
Jan 202529.5% of 61 movements
Feb 202516.1% of 56 movements
Mar 20259.1% of 55 movements
Apr 20257.7% of 65 movements
May 20256.2% of 64 movements
Jun 20256.6% of 61 movements
Jul 20253.2% of 62 movements
Aug 20254.8% of 62 movements
Sep 202514.5% of 62 movements
Oct 202511.1% of 63 movements
Nov 202512.8% of 47 movements — small sample, not ranked
Dec 202522.4% of 49 movements — small sample, not ranked
Jan 202637.8% of 45 movements — small sample, not ranked
Feb 202623.8% of 42 movements — small sample, not ranked
Mar 20262.0% of 49 movements — small sample, not ranked
Apr 202617.0% of 47 movements — small sample, not ranked
May 20262.0% of 49 movements — small sample, not ranked
Jun 202619.1% of 47 movements — small sample, not ranked

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 2022Arrivals27.6% of 58 movements20.9% across 479 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures86.7% of 60 movements45.0% across 478 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals20.6% of 63 movements21.3% across 653 flightsreturned the next month
NATS system failure · Aug 2023Departures44.4% of 63 movements51.3% across 656 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals9.1% of 55 movements21.6% across 712 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures12.7% of 55 movements33.6% across 714 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?

January has historically been the hardest month on this route: in a typical January, 29.5% of arrivals were disrupted, measured across 7 Januarys in the archive. April has been the calmest, at 8.5% across 7 Aprils.

Even January has ranged from 15.9% to 44.1% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201915.9% of 69 movements8.2% of 61 movements8.8% of 68 movements3.9% of 76 movements11.7% of 77 movements28.6% of 77 movements10.7% of 75 movements12.8% of 78 movements22.4% of 76 movements31.0% of 71 movements16.1% of 56 movements16.4% of 67 movements202013.2% of 53 movements19.0% of 42 movements †32.1% of 28 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements17.5% of 40 movements †14.0% of 50 movements2.0% of 49 movements †10.3% of 29 movements †suppressed: fewer than twenty movements33.3% of 30 movements †2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements12.0% of 25 movements †13.6% of 22 movements †9.1% of 44 movements †15.2% of 46 movements †19.1% of 47 movements †5.6% of 36 movements †36.7% of 49 movements †202229.4% of 34 movements †27.6% of 29 movements †9.8% of 41 movements †39.5% of 43 movements †22.2% of 45 movements †23.3% of 43 movements †27.6% of 58 movements28.6% of 63 movements34.0% of 50 movements52.0% of 50 movements9.1% of 44 movements †27.3% of 55 movements202318.8% of 48 movements †12.8% of 47 movements †16.4% of 55 movements8.3% of 60 movements6.7% of 60 movements25.0% of 60 movements16.4% of 61 movements20.6% of 63 movements8.3% of 60 movements24.6% of 61 movements27.5% of 51 movements27.0% of 63 movements202444.1% of 59 movements22.2% of 54 movements14.0% of 50 movements8.5% of 59 movements16.4% of 61 movements21.3% of 61 movements31.1% of 61 movements38.1% of 63 movements26.7% of 60 movements30.6% of 62 movements16.7% of 60 movements10.3% of 58 movements202529.5% of 61 movements16.1% of 56 movements9.1% of 55 movements7.7% of 65 movements6.2% of 64 movements6.6% of 61 movements3.2% of 62 movements4.8% of 62 movements14.5% of 62 movements11.1% of 63 movements12.8% of 47 movements †22.4% of 49 movements †202637.8% of 45 movements †23.8% of 42 movements †2.0% of 49 movements †17.0% of 47 movements †2.0% of 49 movements †19.1% of 47 movements †no datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan29.5%15.9–44.1%7 months, 389 flights
Feb19.7%8.2–27.6%7 months, 350 flights
Mar9.8%2.0–18.1%7 months, 390 flights
Apr8.5%3.9–39.5%7 months, 430 flights
May11.7%2.0–22.2%7 months, 429 flights
Jun21.3%6.6–28.6%7 months, 427 flights
Jul18.3%3.2–31.1%6 months, 401 flights
Aug24.3%4.8–38.1%6 months, 415 flights
Sep18.4%8.3–34.0%6 months, 387 flights
Oct27.6%5.2–52.0%6 months, 384 flights
Nov14.4%2.9–27.5%6 months, 326 flights
Dec22.1%10.3–27.3%6 months, 370 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: Wizz Air, 13.3% of 623 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 optionWizz Air13.3% of 623 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Ryanairsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Wizz Air62313.3% of 623 movementsno events in 623 movements0.5% of 623 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, LPL had the lowest disruption share at 6.6% of 122 movements and MAN the highest at 32.9% of 255 movements. This route sits at 13.5% of 624 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 optionAbz ↔ Gdansk13.4% of 172 flightsBfs ↔ Gdansk19.5% of 82 flightsBrs ↔ Gdansk21.3% of 122 flightsEdi ↔ Gdansk29.9% of 278 flightsLba ↔ Gdansk17.0% of 271 flightsLpl ↔ Gdansk6.6% of 122 flightsMan ↔ Gdansk32.9% of 255 flightsNcl ↔ Gdansk13.1% of 130 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Gdansk17213.4% of 172 movements0.6% of 172 movements1.7% of 172 movementsdescriptive comparison
Bfs ↔ Gdansk8219.5% of 82 movementsno events in 82 movements1.2% of 82 movementsdescriptive comparison
Bhx ↔ Gdansksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Boh ↔ Gdansksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Gdansk12221.3% of 122 movementsno events in 122 movements1.6% of 122 movementsdescriptive comparison
Cwl ↔ Gdansksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Gdansksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Gdansk27829.9% of 278 movementsno events in 278 movementsno events in 278 movementsdescriptive comparison
Ema ↔ Gdansksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Gdansksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Gdansk27117.0% of 271 movements0.4% of 271 movements0.4% of 271 movementsdescriptive comparison
Lgw ↔ Gdansksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ Gdansk1226.6% of 122 movementsno events in 122 movementsno events in 122 movementsdescriptive comparison
Man ↔ Gdansk25532.9% of 255 movements0.8% of 255 movements1.2% of 255 movementsdescriptive comparison
Mme ↔ Gdansksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ Gdansk13013.1% of 130 movementsno events in 130 movementsno events in 130 movementsdescriptive comparison
Stn ↔ Gdansk75016.4% of 750 movementsno events in 750 movements0.4% of 750 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into LTN ran 13.5% of 624 movements disrupted, departures 26.6% of 624 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 LTN13.5% of 624 movementsno events in 624 movements0.6% of 624 movements
Departures from LTN26.6% of 624 movements0.2% of 624 movements0.6% of 624 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 5,39848 × £220 = £10,560
ArrivalsLast 72 months · Jul 2020–Jun 202636 flights out of 3,50436 × £220 = £7,920
DeparturesWhole archive · Jan 2018–Jun 202668 flights out of 5,40268 × £220 = £14,960
DeparturesLast 72 months · Jul 2020–Jun 202656 flights out of 3,51156 × £220 = £12,320
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 airportLUTON · LTN
Final point / countryGDANSK / POLAND
Final point codesGDN / EPGD
Great-circle distance1,283 km
Maximum statutory amount for the band£220
Average operated arrivals per day1.71
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: 624; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

13.5% of 624 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

no events in 624 movements in the same window.

How many delays crossed three hours?

0.6% of 624 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?

1,283 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

Was your flight delayed 3h+? Check what you may be owed

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