UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LTN ↔ KRAKOW

In the twelve months from July 2025 to June 2026, 24.3% of 744 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, 75.7% of 744 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 124 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, 24.3% of 744 movements were disrupted and 0.5% of 744 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
24.3% of 744 movements0.5% of 744 movements29.8–62.1 min; N of delayed flights=177–344744
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: 0.5% of 744 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 min23.8%30 min15.1%60 min6.5%120 min1.7%180 min0.8%360 min0.1%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min23.8% of 744 movements1774.2
>30 min15.1% of 744 movements1126.6
>60 min6.5% of 744 movements4815.5
>120 min1.7% of 744 movements1357.2
>180 min0.8% of 744 movements6124.0
>360 min0.1% of 744 movements1744.0
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 early10313.8%15–1 early29339.4%0–15 late16722.4%16–30658.7%31–60648.6%61…120354.7%121…18070.9%181…36050.7%>36010.1%D=744
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0465; 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 71 movements. Worst month: Jan 2025, 43.2% of 74 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: suppressed: fewer than twenty movements×2018Feb 2018: suppressed: fewer than twenty movements×Mar 2018: suppressed: fewer than twenty movements×Apr 2018: no data×May 2018: no data×Jun 2018: no data×Jul 2018: no data×Aug 2018: no data×Sep 2018: suppressed: fewer than twenty movements×Oct 2018: suppressed: fewer than twenty movements×Nov 2018: suppressed: fewer than twenty movements×Dec 2018: suppressed: fewer than twenty movements×Jan 2019: suppressed: fewer than twenty movements×2019Feb 2019: suppressed: fewer than twenty movements×Mar 2019: suppressed: fewer than twenty movements×Apr 2019: 20.5%; sample: 39May 2019: 13.9%; sample: 72Jun 2019: 20.5%; sample: 73Jul 2019: 21.2%; sample: 80Aug 2019: 17.7%; sample: 79Sep 2019: 20.3%; sample: 74Oct 2019: 25.4%; sample: 71Nov 2019: 13.2%; sample: 76Dec 2019: 17.5%; sample: 97Jan 2020: 8.0%; sample: 872020Feb 2020: 23.5%; sample: 81Mar 2020: 32.7%; sample: 55Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 3.7%; sample: 54Aug 2020: 5.3%; sample: 75Sep 2020: 0.0%; sample: 71Oct 2020: 5.4%; sample: 37Nov 2020: suppressed: fewer than twenty movements×Dec 2020: 42.4%; sample: 33Jan 2021: 38.5%; sample: 262021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: 12.5%; sample: 24Apr 2021: 0.0%; sample: 25May 2021: 0.0%; sample: 20Jun 2021: 12.0%; sample: 25Jul 2021: 3.4%; sample: 29Aug 2021: 5.6%; sample: 54Sep 2021: 10.2%; sample: 59Oct 2021: 13.8%; sample: 65Nov 2021: 6.2%; sample: 97Dec 2021: 19.1%; sample: 115Jan 2022: 14.6%; sample: 822022Feb 2022: 23.2%; sample: 82Mar 2022: 9.0%; sample: 100Apr 2022: 40.4%; sample: 94May 2022: 21.4%; sample: 103Jun 2022: 40.2%; sample: 92Jul 2022: 38.7%; sample: 75Aug 2022: 35.8%; sample: 67Sep 2022: 28.4%; sample: 67Oct 2022: 36.1%; sample: 72Nov 2022: 18.6%; sample: 59Dec 2022: 41.5%; sample: 82Jan 2023: 21.4%; sample: 702023Feb 2023: 20.3%; sample: 74Mar 2023: 20.2%; sample: 84Apr 2023: 20.6%; sample: 68May 2023: 16.9%; sample: 71Jun 2023: 22.1%; sample: 68Jul 2023: 25.8%; sample: 62Aug 2023: 17.7%; sample: 62Sep 2023: 20.0%; sample: 60Oct 2023: 15.9%; sample: 63Nov 2023: 20.0%; sample: 60Dec 2023: 31.1%; sample: 61Jan 2024: 19.4%; sample: 622024Feb 2024: 12.1%; sample: 58Mar 2024: 9.5%; sample: 63Apr 2024: 8.3%; sample: 60May 2024: 18.0%; sample: 61Jun 2024: 18.3%; sample: 60Jul 2024: 32.3%; sample: 62Aug 2024: 19.4%; sample: 62Sep 2024: 28.3%; sample: 60Oct 2024: 16.1%; sample: 62Nov 2024: 17.6%; sample: 74Dec 2024: 23.9%; sample: 71Jan 2025: 43.2%; sample: 742025Feb 2025: 16.2%; sample: 68Mar 2025: 7.0%; sample: 71Apr 2025: 18.5%; sample: 65May 2025: 15.2%; sample: 66Jun 2025: 29.0%; sample: 62Jul 2025: 17.7%; sample: 62Aug 2025: 23.5%; sample: 68Sep 2025: 32.3%; sample: 65Oct 2025: 21.4%; sample: 70Nov 2025: 20.3%; sample: 79Dec 2025: 32.5%; sample: 77Jan 2026: 30.3%; sample: 762026Feb 2026: 15.9%; sample: 69Mar 2026: 12.3%; sample: 73Apr 2026: 23.5%; sample: 34May 2026: 34.3%; sample: 35Jun 2026: 38.9%; sample: 36Pandemic 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 2018suppressed: fewer than twenty movements
Feb 2018suppressed: fewer than twenty movements
Mar 2018suppressed: fewer than twenty movements
Apr 2018no data
May 2018no data
Jun 2018no data
Jul 2018no data
Aug 2018no data
Sep 2018suppressed: fewer than twenty movements
Oct 2018suppressed: fewer than twenty movements
Nov 2018suppressed: fewer than twenty movements
Dec 2018suppressed: fewer than twenty movements
Jan 2019suppressed: fewer than twenty movements
Feb 2019suppressed: fewer than twenty movements
Mar 2019suppressed: fewer than twenty movements
Apr 201920.5% of 39 movements — small sample, not ranked
May 201913.9% of 72 movements
Jun 201920.5% of 73 movements
Jul 201921.2% of 80 movements
Aug 201917.7% of 79 movements
Sep 201920.3% of 74 movements
Oct 201925.4% of 71 movements
Nov 201913.2% of 76 movements
Dec 201917.5% of 97 movements
Jan 20208.0% of 87 movements
Feb 202023.5% of 81 movements
Mar 202032.7% of 55 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 20203.7% of 54 movements
Aug 20205.3% of 75 movements
Sep 2020no events in 71 movements
Oct 20205.4% of 37 movements — small sample, not ranked
Nov 2020suppressed: fewer than twenty movements
Dec 202042.4% of 33 movements — small sample, not ranked
Jan 202138.5% of 26 movements — small sample, not ranked
Feb 2021suppressed: fewer than twenty movements
Mar 202112.5% of 24 movements — small sample, not ranked
Apr 2021no events in 25 movements — small sample, not ranked
May 2021no events in 20 movements — small sample, not ranked
Jun 202112.0% of 25 movements — small sample, not ranked
Jul 20213.4% of 29 movements — small sample, not ranked
Aug 20215.6% of 54 movements
Sep 202110.2% of 59 movements
Oct 202113.8% of 65 movements
Nov 20216.2% of 97 movements
Dec 202119.1% of 115 movements
Jan 202214.6% of 82 movements
Feb 202223.2% of 82 movements
Mar 20229.0% of 100 movements
Apr 202240.4% of 94 movements
May 202221.4% of 103 movements
Jun 202240.2% of 92 movements
Jul 202238.7% of 75 movements
Aug 202235.8% of 67 movements
Sep 202228.4% of 67 movements
Oct 202236.1% of 72 movements
Nov 202218.6% of 59 movements
Dec 202241.5% of 82 movements
Jan 202321.4% of 70 movements
Feb 202320.3% of 74 movements
Mar 202320.2% of 84 movements
Apr 202320.6% of 68 movements
May 202316.9% of 71 movements
Jun 202322.1% of 68 movements
Jul 202325.8% of 62 movements
Aug 202317.7% of 62 movements
Sep 202320.0% of 60 movements
Oct 202315.9% of 63 movements
Nov 202320.0% of 60 movements
Dec 202331.1% of 61 movements
Jan 202419.4% of 62 movements
Feb 202412.1% of 58 movements
Mar 20249.5% of 63 movements
Apr 20248.3% of 60 movements
May 202418.0% of 61 movements
Jun 202418.3% of 60 movements
Jul 202432.3% of 62 movements
Aug 202419.4% of 62 movements
Sep 202428.3% of 60 movements
Oct 202416.1% of 62 movements
Nov 202417.6% of 74 movements
Dec 202423.9% of 71 movements
Jan 202543.2% of 74 movements
Feb 202516.2% of 68 movements
Mar 20257.0% of 71 movements
Apr 202518.5% of 65 movements
May 202515.2% of 66 movements
Jun 202529.0% of 62 movements
Jul 202517.7% of 62 movements
Aug 202523.5% of 68 movements
Sep 202532.3% of 65 movements
Oct 202521.4% of 70 movements
Nov 202520.3% of 79 movements
Dec 202532.5% of 77 movements
Jan 202630.3% of 76 movements
Feb 202615.9% of 69 movements
Mar 202612.3% of 73 movements
Apr 202623.5% of 34 movements — small sample, not ranked
May 202634.3% of 35 movements — small sample, not ranked
Jun 202638.9% of 36 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 2022Arrivals38.7% of 75 movements17.3% across 972 flightsstill above it 8 months later
Summer 2022 breakdown · Jul 2022Departures76.3% of 76 movements22.5% across 972 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals17.7% of 62 movements25.6% across 844 flightsreturned the next month
NATS system failure · Aug 2023Departures35.5% of 62 movements46.3% across 842 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals7.0% of 71 movements20.9% across 777 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures18.3% of 71 movements31.5% across 781 flightsreturned the next month
Definitions, denominators and limits

The baseline is the unweighted mean share over the twelve preceding calendar months. The return window is the following eight months, up to the end of the archive. Return means the first observed value at or below the baseline; it is not the duration of the disruption itself. If the event month is already below the baseline, counting still starts the month after. Gaps and suppressed cells are not treated as zeros or as recovery.

Which time of year has historically been hardest?

December has historically been the hardest month on this route: in a typical December, 31.1% of arrivals were disrupted, measured across 5 Decembers in the archive. March has been the calmest, at 9.5% across 5 Marchs.

Even December has ranged from 17.5% to 41.5% 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 nJanFebMarAprMayJunJulAugSepOctNovDec2019suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements20.5% of 39 movements †13.9% of 72 movements20.5% of 73 movements21.2% of 80 movements17.7% of 79 movements20.3% of 74 movements25.4% of 71 movements13.2% of 76 movements17.5% of 97 movements20208.0% of 87 movements23.5% of 81 movements32.7% of 55 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements3.7% of 54 movements5.3% of 75 movementsno events in 71 movements5.4% of 37 movements †suppressed: fewer than twenty movements42.4% of 33 movements †202138.5% of 26 movements †suppressed: fewer than twenty movements12.5% of 24 movements †no events in 25 movements †no events in 20 movements †12.0% of 25 movements †3.4% of 29 movements †5.6% of 54 movements10.2% of 59 movements13.8% of 65 movements6.2% of 97 movements19.1% of 115 movements202214.6% of 82 movements23.2% of 82 movements9.0% of 100 movements40.4% of 94 movements21.4% of 103 movements40.2% of 92 movements38.7% of 75 movements35.8% of 67 movements28.4% of 67 movements36.1% of 72 movements18.6% of 59 movements41.5% of 82 movements202321.4% of 70 movements20.3% of 74 movements20.2% of 84 movements20.6% of 68 movements16.9% of 71 movements22.1% of 68 movements25.8% of 62 movements17.7% of 62 movements20.0% of 60 movements15.9% of 63 movements20.0% of 60 movements31.1% of 61 movements202419.4% of 62 movements12.1% of 58 movements9.5% of 63 movements8.3% of 60 movements18.0% of 61 movements18.3% of 60 movements32.3% of 62 movements19.4% of 62 movements28.3% of 60 movements16.1% of 62 movements17.6% of 74 movements23.9% of 71 movements202543.2% of 74 movements16.2% of 68 movements7.0% of 71 movements18.5% of 65 movements15.2% of 66 movements29.0% of 62 movements17.7% of 62 movements23.5% of 68 movements32.3% of 65 movements21.4% of 70 movements20.3% of 79 movements32.5% of 77 movements202630.3% of 76 movements15.9% of 69 movements12.3% of 73 movements23.5% of 34 movements †34.3% of 35 movements †38.9% of 36 movements †no datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan21.4%14.6–43.2%5 months, 364 flights
Feb16.2%12.1–23.2%5 months, 351 flights
Mar9.5%7.0–20.2%5 months, 391 flights
Apr20.6%8.3–40.4%6 months, 360 flights
May17.5%13.9–34.3%6 months, 408 flights
Jun25.5%18.3–40.2%6 months, 391 flights
Jul25.8%17.7–38.7%5 months, 341 flights
Aug19.4%17.7–35.8%5 months, 338 flights
Sep28.3%20.0–32.3%5 months, 326 flights
Oct21.4%15.9–36.1%5 months, 338 flights
Nov18.6%13.2–20.3%5 months, 348 flights
Dec31.1%17.5–41.5%5 months, 388 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: Wizz Air 14.9% of 276 movements, Ryanair 30.0% of 467 movements. Observed shares differ; the mix of operations is not matched, so no causal conclusion follows.

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 optionRyanair30.0% of 467 flightsWizz Air14.9% of 276 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Avcon Jet Agsuppressed: 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 Uksuppressed: 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
Ryanair46730.0% of 467 movements0.6% of 467 movements0.6% of 467 movementsdescriptive comparison
Tui Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Wizz Air27614.9% of 276 movements0.4% of 276 movements1.1% of 276 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, ABZ had the lowest disruption share at 10.1% of 119 movements and MAN the highest at 41.5% of 815 movements. This route sits at 24.3% of 744 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 ↔ Krakow10.1% of 119 flightsBfs ↔ Krakow27.4% of 259 flightsBhx ↔ Krakow30.3% of 600 flightsBoh ↔ Krakow31.6% of 177 flightsBrs ↔ Krakow25.2% of 639 flightsEdi ↔ Krakow36.6% of 579 flightsEma ↔ Krakow29.3% of 276 flightsGla ↔ Krakow19.5% of 267 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Krakow11910.1% of 119 movements0.8% of 119 movementsno events in 119 movementsdescriptive comparison
Bfs ↔ Krakow25927.4% of 259 movements0.4% of 259 movements0.8% of 259 movementsdescriptive comparison
Bhx ↔ Krakow60030.3% of 600 movements0.2% of 600 movements1.2% of 600 movementsdescriptive comparison
Boh ↔ Krakow17731.6% of 177 movements0.6% of 177 movements1.1% of 177 movementsdescriptive comparison
Brs ↔ Krakow63925.2% of 639 movements0.8% of 639 movements0.5% of 639 movementsdescriptive comparison
Cwl ↔ Krakowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Krakowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Krakow57936.6% of 579 movements0.3% of 579 movements1.0% of 579 movementsdescriptive comparison
Ema ↔ Krakow27629.3% of 276 movementsno events in 276 movements1.8% of 276 movementsdescriptive comparison
Ext ↔ Krakowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Krakow26719.5% of 267 movements0.7% of 267 movements0.7% of 267 movementsdescriptive comparison
Lba ↔ Krakow46815.8% of 468 movements0.6% of 468 movements0.9% of 468 movementsdescriptive comparison
Lgw ↔ Krakow84025.8% of 840 movements1.2% of 840 movements0.5% of 840 movementsdescriptive comparison
Lhr ↔ Krakow24118.3% of 241 movements0.4% of 241 movements0.4% of 241 movementsdescriptive comparison
Lpl ↔ Krakow40915.4% of 409 movements1.0% of 409 movements1.0% of 409 movementsdescriptive comparison
Man ↔ Krakow81541.5% of 815 movements0.9% of 815 movements1.6% of 815 movementsdescriptive comparison
Ncl ↔ Krakow29118.9% of 291 movementsno events in 291 movements2.1% of 291 movementsdescriptive comparison
Sou ↔ Krakowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Krakow1,06428.9% of 1,064 movements0.4% of 1,064 movements0.8% of 1,064 movementsdescriptive comparison

Does the direction you are flying change anything?

Barely: arrivals into LTN ran 24.3% of 744 movements disrupted, departures 25.5% of 750 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 LTN24.3% of 744 movements0.5% of 744 movements0.8% of 744 movements
Departures from LTN25.5% of 750 movements0.1% of 750 movements0.8% of 750 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 202634 flights out of 5,50734 × £220 = £7,480
ArrivalsLast 72 months · Jul 2020–Jun 202627 flights out of 4,52327 × £220 = £5,940
DeparturesWhole archive · Jan 2018–Jun 202638 flights out of 5,52338 × £220 = £8,360
DeparturesLast 72 months · Jul 2020–Jun 202633 flights out of 4,53533 × £220 = £7,260
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 / countryKRAKOW / POLAND
Final point codesKRK / EPKK
Great-circle distance1,420 km
Maximum statutory amount for the band£220
Average operated arrivals per day2.03
Presence in the latest twelve-month windowoperations present in every month of the latest twelve-month window
First and last active monthFeb 2018–Jun 2026
Months with operations in the archive93

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: 744; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

24.3% of 744 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.5% of 744 movements in the same window.

How many delays crossed three hours?

0.8% of 744 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?

1,420 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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