UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LTN ↔ KAUNAS

In the twelve months from July 2025 to June 2026, 17.2% of 647 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, 82.8% of 647 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 216 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, 17.2% of 647 movements were disrupted and no events in 647 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
17.2% of 647 movementsno events in 647 movements25.1–60.1 min; N of delayed flights=111–240647
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 647 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 min17.2%30 min9.7%60 min3.9%120 min1.2%180 min0.5%360 min0.2%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min17.2% of 647 movements1115.8
>30 min9.7% of 647 movements6310.3
>60 min3.9% of 647 movements2525.9
>120 min1.2% of 647 movements880.9
>180 min0.5% of 647 movements3215.7
>360 min0.2% of 647 movements1647.0
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 early14221.9%15–1 early26541.0%0–15 late12919.9%16–30487.4%31–60385.9%61…120172.6%121…18050.8%181…36020.3%>36010.2%D=647
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0349; 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: Aug 2020, 1.7% of 59 movements. Worst month: Dec 2023, 54.9% of 51 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: 11.5%; sample: 612018Feb 2018: 7.1%; sample: 56Mar 2018: 14.5%; sample: 62Apr 2018: 6.8%; sample: 59May 2018: 7.0%; sample: 57Jun 2018: 15.5%; sample: 58Jul 2018: 11.1%; sample: 63Aug 2018: 11.1%; sample: 63Sep 2018: 6.6%; sample: 61Oct 2018: 10.2%; sample: 59Nov 2018: 7.5%; sample: 53Dec 2018: 10.2%; sample: 59Jan 2019: 6.8%; sample: 592019Feb 2019: 5.5%; sample: 55Mar 2019: 5.4%; sample: 56Apr 2019: 12.8%; sample: 47May 2019: 6.4%; sample: 47Jun 2019: 11.4%; sample: 44Jul 2019: 17.0%; sample: 53Aug 2019: 9.4%; sample: 53Sep 2019: 25.0%; sample: 52Oct 2019: 25.0%; sample: 52Nov 2019: 9.6%; sample: 52Dec 2019: 7.4%; sample: 54Jan 2020: 3.7%; sample: 542020Feb 2020: 17.6%; sample: 51Mar 2020: 16.2%; sample: 37Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 5.6%; sample: 36Aug 2020: 1.7%; sample: 59Sep 2020: 4.9%; sample: 41Oct 2020: 3.4%; sample: 29Nov 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: 4.5%; sample: 22Jul 2021: 0.0%; sample: 36Aug 2021: 2.0%; sample: 49Sep 2021: 19.6%; sample: 46Oct 2021: 14.3%; sample: 49Nov 2021: 11.4%; sample: 44Dec 2021: 38.3%; sample: 47Jan 2022: 27.6%; sample: 292022Feb 2022: 27.8%; sample: 36Mar 2022: 17.0%; sample: 47Apr 2022: 19.6%; sample: 51May 2022: 10.5%; sample: 57Jun 2022: 16.4%; sample: 55Jul 2022: 31.6%; sample: 57Aug 2022: 14.8%; sample: 54Sep 2022: 18.5%; sample: 54Oct 2022: 26.8%; sample: 56Nov 2022: 21.6%; sample: 37Dec 2022: 46.0%; sample: 50Jan 2023: 25.6%; sample: 432023Feb 2023: 24.4%; sample: 41Mar 2023: 19.6%; sample: 51Apr 2023: 37.5%; sample: 56May 2023: 26.3%; sample: 57Jun 2023: 30.4%; sample: 56Jul 2023: 25.9%; sample: 58Aug 2023: 29.8%; sample: 57Sep 2023: 20.8%; sample: 53Oct 2023: 22.6%; sample: 53Nov 2023: 34.1%; sample: 44Dec 2023: 54.9%; sample: 51Jan 2024: 55.3%; sample: 472024Feb 2024: 35.7%; sample: 42Mar 2024: 22.7%; sample: 44Apr 2024: 30.0%; sample: 60May 2024: 22.6%; sample: 62Jun 2024: 16.7%; sample: 54Jul 2024: 43.5%; sample: 62Aug 2024: 16.1%; sample: 62Sep 2024: 28.3%; sample: 60Oct 2024: 25.4%; sample: 63Nov 2024: 32.3%; sample: 65Dec 2024: 50.8%; sample: 65Jan 2025: 36.8%; sample: 682025Feb 2025: 28.3%; sample: 60Mar 2025: 22.7%; sample: 66Apr 2025: 21.7%; sample: 60May 2025: 19.4%; sample: 62Jun 2025: 15.0%; sample: 60Jul 2025: 22.6%; sample: 62Aug 2025: 29.0%; sample: 62Sep 2025: 23.7%; sample: 59Oct 2025: 15.5%; sample: 58Nov 2025: 13.2%; sample: 53Dec 2025: 20.0%; sample: 50Jan 2026: 17.0%; sample: 532026Feb 2026: 10.4%; sample: 48Mar 2026: 11.1%; sample: 54Apr 2026: 9.6%; sample: 52May 2026: 10.2%; 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 201811.5% of 61 movements
Feb 20187.1% of 56 movements
Mar 201814.5% of 62 movements
Apr 20186.8% of 59 movements
May 20187.0% of 57 movements
Jun 201815.5% of 58 movements
Jul 201811.1% of 63 movements
Aug 201811.1% of 63 movements
Sep 20186.6% of 61 movements
Oct 201810.2% of 59 movements
Nov 20187.5% of 53 movements
Dec 201810.2% of 59 movements
Jan 20196.8% of 59 movements
Feb 20195.5% of 55 movements
Mar 20195.4% of 56 movements
Apr 201912.8% of 47 movements — small sample, not ranked
May 20196.4% of 47 movements — small sample, not ranked
Jun 201911.4% of 44 movements — small sample, not ranked
Jul 201917.0% of 53 movements
Aug 20199.4% of 53 movements
Sep 201925.0% of 52 movements
Oct 201925.0% of 52 movements
Nov 20199.6% of 52 movements
Dec 20197.4% of 54 movements
Jan 20203.7% of 54 movements
Feb 202017.6% of 51 movements
Mar 202016.2% of 37 movements — small sample, not ranked
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 20205.6% of 36 movements — small sample, not ranked
Aug 20201.7% of 59 movements
Sep 20204.9% of 41 movements — small sample, not ranked
Oct 20203.4% of 29 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 20214.5% of 22 movements — small sample, not ranked
Jul 2021no events in 36 movements — small sample, not ranked
Aug 20212.0% of 49 movements — small sample, not ranked
Sep 202119.6% of 46 movements — small sample, not ranked
Oct 202114.3% of 49 movements — small sample, not ranked
Nov 202111.4% of 44 movements — small sample, not ranked
Dec 202138.3% of 47 movements — small sample, not ranked
Jan 202227.6% of 29 movements — small sample, not ranked
Feb 202227.8% of 36 movements — small sample, not ranked
Mar 202217.0% of 47 movements — small sample, not ranked
Apr 202219.6% of 51 movements
May 202210.5% of 57 movements
Jun 202216.4% of 55 movements
Jul 202231.6% of 57 movements
Aug 202214.8% of 54 movements
Sep 202218.5% of 54 movements
Oct 202226.8% of 56 movements
Nov 202221.6% of 37 movements — small sample, not ranked
Dec 202246.0% of 50 movements
Jan 202325.6% of 43 movements — small sample, not ranked
Feb 202324.4% of 41 movements — small sample, not ranked
Mar 202319.6% of 51 movements
Apr 202337.5% of 56 movements
May 202326.3% of 57 movements
Jun 202330.4% of 56 movements
Jul 202325.9% of 58 movements
Aug 202329.8% of 57 movements
Sep 202320.8% of 53 movements
Oct 202322.6% of 53 movements
Nov 202334.1% of 44 movements — small sample, not ranked
Dec 202354.9% of 51 movements
Jan 202455.3% of 47 movements — small sample, not ranked
Feb 202435.7% of 42 movements — small sample, not ranked
Mar 202422.7% of 44 movements — small sample, not ranked
Apr 202430.0% of 60 movements
May 202422.6% of 62 movements
Jun 202416.7% of 54 movements
Jul 202443.5% of 62 movements
Aug 202416.1% of 62 movements
Sep 202428.3% of 60 movements
Oct 202425.4% of 63 movements
Nov 202432.3% of 65 movements
Dec 202450.8% of 65 movements
Jan 202536.8% of 68 movements
Feb 202528.3% of 60 movements
Mar 202522.7% of 66 movements
Apr 202521.7% of 60 movements
May 202519.4% of 62 movements
Jun 202515.0% of 60 movements
Jul 202522.6% of 62 movements
Aug 202529.0% of 62 movements
Sep 202523.7% of 59 movements
Oct 202515.5% of 58 movements
Nov 202513.2% of 53 movements
Dec 202520.0% of 50 movements
Jan 202617.0% of 53 movements
Feb 202610.4% of 48 movements — small sample, not ranked
Mar 202611.1% of 54 movements
Apr 20269.6% of 52 movements
May 202610.2% 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 2022Arrivals31.6% of 57 movements17.0% across 546 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Departures39.3% of 56 movements12.8% across 550 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals29.8% of 57 movements26.4% across 613 flightsreturned the next month
NATS system failure · Aug 2023Departures31.6% of 57 movements30.1% across 617 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals22.7% of 66 movements29.5% across 725 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures13.6% of 66 movements23.0% across 727 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, 33.0% of arrivals were disrupted, measured across 6 Decembers in the archive. May has been the calmest, at 10.5% across 7 Mays.

Even December has ranged from 7.4% to 54.9% 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 nJanFebMarAprMayJunJulAugSepOctNovDec20196.8% of 59 movements5.5% of 55 movements5.4% of 56 movements12.8% of 47 movements †6.4% of 47 movements †11.4% of 44 movements †17.0% of 53 movements9.4% of 53 movements25.0% of 52 movements25.0% of 52 movements9.6% of 52 movements7.4% of 54 movements20203.7% of 54 movements17.6% of 51 movements16.2% of 37 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements5.6% of 36 movements †1.7% of 59 movements4.9% of 41 movements †3.4% of 29 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 movements4.5% of 22 movements †no events in 36 movements †2.0% of 49 movements †19.6% of 46 movements †14.3% of 49 movements †11.4% of 44 movements †38.3% of 47 movements †202227.6% of 29 movements †27.8% of 36 movements †17.0% of 47 movements †19.6% of 51 movements10.5% of 57 movements16.4% of 55 movements31.6% of 57 movements14.8% of 54 movements18.5% of 54 movements26.8% of 56 movements21.6% of 37 movements †46.0% of 50 movements202325.6% of 43 movements †24.4% of 41 movements †19.6% of 51 movements37.5% of 56 movements26.3% of 57 movements30.4% of 56 movements25.9% of 58 movements29.8% of 57 movements20.8% of 53 movements22.6% of 53 movements34.1% of 44 movements †54.9% of 51 movements202455.3% of 47 movements †35.7% of 42 movements †22.7% of 44 movements †30.0% of 60 movements22.6% of 62 movements16.7% of 54 movements43.5% of 62 movements16.1% of 62 movements28.3% of 60 movements25.4% of 63 movements32.3% of 65 movements50.8% of 65 movements202536.8% of 68 movements28.3% of 60 movements22.7% of 66 movements21.7% of 60 movements19.4% of 62 movements15.0% of 60 movements22.6% of 62 movements29.0% of 62 movements23.7% of 59 movements15.5% of 58 movements13.2% of 53 movements20.0% of 50 movements202617.0% of 53 movements10.4% of 48 movements †11.1% of 54 movements9.6% of 52 movements10.2% 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
Jan25.6%6.8–55.3%7 months, 360 flights
Feb24.4%5.5–35.7%7 months, 338 flights
Mar17.0%5.4–22.7%7 months, 380 flights
Apr19.6%6.8–37.5%7 months, 385 flights
May10.5%6.4–26.3%7 months, 391 flights
Jun16.4%11.4–30.4%7 months, 374 flights
Jul24.2%11.1–43.5%6 months, 355 flights
Aug15.5%9.4–29.8%6 months, 351 flights
Sep22.2%6.6–28.3%6 months, 339 flights
Oct23.8%10.2–26.8%6 months, 341 flights
Nov17.4%7.5–34.1%6 months, 304 flights
Dec33.0%7.4–54.9%6 months, 329 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 Uk 9.6% of 261 movements, Ryanair 22.3% of 386 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 optionRyanair22.3% of 386 flightsWizz Air Uk9.6% of 261 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Abelag Aviationsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bmi Regionalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ryanair38622.3% of 386 movementsno events in 386 movements0.5% of 386 movementsdescriptive comparison
Wizz Airsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Wizz Air Uk2619.6% of 261 movementsno events in 261 movements0.4% of 261 movementsdescriptive comparison

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, BFS had the lowest disruption share at 14.8% of 81 movements and EDI the highest at 34.9% of 146 movements. This route sits at 17.2% of 647 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 ↔ Kaunas14.8% of 81 flightsBrs ↔ Kaunas18.8% of 160 flightsEdi ↔ Kaunas34.9% of 146 flightsLpl ↔ Kaunas17.4% of 195 flightsStn ↔ Kaunas17.3% of 323 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Kaunas8114.8% of 81 movementsno events in 81 movementsno events in 81 movementsdescriptive comparison
Bhx ↔ Kaunassuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Kaunas16018.8% of 160 movementsno events in 160 movements0.6% of 160 movementsdescriptive comparison
Doncaster-Sheffield ↔ Kaunassuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Kaunas14634.9% of 146 movementsno events in 146 movementsno events in 146 movementsdescriptive comparison
Gla ↔ Kaunassuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ Kaunas19517.4% of 195 movementsno events in 195 movementsno events in 195 movementsdescriptive comparison
Man ↔ Kaunassuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Kaunas32317.3% of 323 movementsno events in 323 movements1.2% of 323 movementsdescriptive comparison

Does the direction you are flying change anything?

Barely: arrivals into LTN ran 17.2% of 647 movements disrupted, departures 16.4% of 646 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 LTN17.2% of 647 movementsno events in 647 movements0.5% of 647 movements
Departures from LTN16.4% of 646 movementsno events in 646 movementsno events in 646 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 202639 flights out of 4,94539 × £350 = £13,650
ArrivalsLast 72 months · Jul 2020–Jun 202633 flights out of 3,45733 × £350 = £11,550
DeparturesWhole archive · Jan 2018–Jun 202631 flights out of 4,95231 × £350 = £10,850
DeparturesLast 72 months · Jul 2020–Jun 202628 flights out of 3,46428 × £350 = £9,800
Definitions, denominators and limits

Full formula: the count is the sum of the two tail buckets across months, carriers and service types in one direction; the ceiling is that count multiplied by the maximum statutory amount for the distance band. The condition is: if every such delay had been the carrier's fault and a claim had been filed on every one of them.

This is conditional arithmetic over operations: passenger numbers, legal applicability and the number of claims are all unknown. For departures it is an arithmetic scenario only, because arrival at the final point is not observed. For long routes the maximum ceiling is used; any reduction in the payable amount is not calculated.

The archive window is counted from the last month of data, not from today: this is not a limitation check for an individual case. The CAA states six years for England and Wales and five for Scotland. CAA: time limits and how to complain. Information, not a legal service.

The facts about this route

Route reference table: codes, distance, frequency, archive span
FieldValue
UK airportLUTON · LTN
Final point / countryKAUNAS / LITHUANIA
Final point codesKUN / EYKA
Great-circle distance1,647 km
Maximum statutory amount for the band£350
Average operated arrivals per day1.77
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: 647; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

17.2% of 647 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 647 movements in the same window.

How many delays crossed three hours?

0.5% of 647 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?

1,647 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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