UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LTN ↔ CLUJ NAPOCA

In the twelve months from July 2025 to June 2026, 14.8% of 610 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, 85.2% of 610 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 152 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, 14.8% of 610 movements were disrupted and 0.2% of 610 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
14.8% of 610 movements0.2% of 610 movements22.9–75.6 min; N of delayed flights=89–267610
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: 0.2% of 610 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 min14.6%30 min9.8%60 min4.9%120 min1.3%180 min0.7%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min14.6% of 610 movements896.9
>30 min9.8% of 610 movements6010.2
>60 min4.9% of 610 movements3020.3
>120 min1.3% of 610 movements876.2
>180 min0.7% of 610 movements4152.5
>360 minno events in 610 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 early10216.7%15–1 early24039.3%0–15 late17829.2%16–30294.8%31–60304.9%61…120223.6%121…18040.7%181…36040.7%>36000.0%D=610
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0678; 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: Mar 2026, 3.9% of 51 movements. Worst month: Jul 2022, 61.6% of 73 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: 26.0%; sample: 772018Feb 2018: 11.8%; sample: 68Mar 2018: 16.2%; sample: 80Apr 2018: 17.2%; sample: 99May 2018: 14.3%; sample: 98Jun 2018: 23.5%; sample: 81Jul 2018: 34.5%; sample: 84Aug 2018: 30.6%; sample: 85Sep 2018: 25.9%; sample: 81Oct 2018: 18.3%; sample: 82Nov 2018: 10.9%; sample: 64Dec 2018: 20.8%; sample: 72Jan 2019: 20.0%; sample: 752019Feb 2019: 7.8%; sample: 64Mar 2019: 11.6%; sample: 69Apr 2019: 6.8%; sample: 73May 2019: 14.7%; sample: 75Jun 2019: 28.2%; sample: 78Jul 2019: 25.0%; sample: 84Aug 2019: 27.4%; sample: 84Sep 2019: 28.0%; sample: 82Oct 2019: 17.1%; sample: 70Nov 2019: 6.2%; sample: 48Dec 2019: 20.7%; sample: 82Jan 2020: 25.0%; sample: 562020Feb 2020: 26.7%; sample: 45Mar 2020: 6.5%; sample: 46Apr 2020: suppressed: fewer than twenty movements×May 2020: 100.0%; sample: 21Jun 2020: 100.0%; sample: 20Jul 2020: 22.5%; sample: 40Aug 2020: 13.7%; sample: 51Sep 2020: 4.8%; sample: 42Oct 2020: 9.3%; sample: 43Nov 2020: suppressed: fewer than twenty movements×Dec 2020: 42.3%; sample: 52Jan 2021: 66.7%; sample: 272021Feb 2021: 29.2%; sample: 24Mar 2021: suppressed: fewer than twenty movements×Apr 2021: 0.0%; sample: 21May 2021: 6.9%; sample: 29Jun 2021: 5.6%; sample: 36Jul 2021: 29.4%; sample: 34Aug 2021: 21.3%; sample: 61Sep 2021: 23.0%; sample: 61Oct 2021: 13.2%; sample: 53Nov 2021: 6.2%; sample: 32Dec 2021: 27.1%; sample: 59Jan 2022: 27.7%; sample: 472022Feb 2022: 22.2%; sample: 36Mar 2022: 11.1%; sample: 54Apr 2022: 26.6%; sample: 79May 2022: 36.1%; sample: 83Jun 2022: 51.9%; sample: 79Jul 2022: 61.6%; sample: 73Aug 2022: 37.1%; sample: 70Sep 2022: 59.4%; sample: 69Oct 2022: 45.1%; sample: 71Nov 2022: 11.1%; sample: 45Dec 2022: 25.0%; sample: 68Jan 2023: 21.8%; sample: 552023Feb 2023: 12.8%; sample: 47Mar 2023: 11.5%; sample: 61Apr 2023: 31.9%; sample: 72May 2023: 17.1%; sample: 76Jun 2023: 26.9%; sample: 67Jul 2023: 50.7%; sample: 75Aug 2023: 37.3%; sample: 75Sep 2023: 13.2%; sample: 68Oct 2023: 28.8%; sample: 73Nov 2023: 16.7%; sample: 60Dec 2023: 25.8%; sample: 62Jan 2024: 24.2%; sample: 622024Feb 2024: 6.9%; sample: 58Mar 2024: 6.5%; sample: 62Apr 2024: 8.3%; sample: 60May 2024: 11.3%; sample: 62Jun 2024: 35.7%; sample: 56Jul 2024: 30.2%; sample: 53Aug 2024: 26.4%; sample: 53Sep 2024: 17.3%; sample: 52Oct 2024: 16.7%; sample: 60Nov 2024: 11.5%; sample: 52Dec 2024: 15.0%; sample: 60Jan 2025: 16.7%; sample: 542025Feb 2025: 4.0%; sample: 50Mar 2025: 9.3%; sample: 54Apr 2025: 9.8%; sample: 51May 2025: 9.4%; sample: 53Jun 2025: 13.5%; sample: 52Jul 2025: 20.8%; sample: 53Aug 2025: 20.8%; sample: 53Sep 2025: 19.6%; sample: 51Oct 2025: 20.4%; sample: 54Nov 2025: 11.8%; sample: 51Dec 2025: 12.3%; sample: 57Jan 2026: 35.2%; sample: 542026Feb 2026: 12.5%; sample: 48Mar 2026: 3.9%; sample: 51Apr 2026: 6.4%; sample: 47May 2026: 2.0%; sample: 49Jun 2026: 7.1%; sample: 42Pandemic 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 201826.0% of 77 movements
Feb 201811.8% of 68 movements
Mar 201816.2% of 80 movements
Apr 201817.2% of 99 movements
May 201814.3% of 98 movements
Jun 201823.5% of 81 movements
Jul 201834.5% of 84 movements
Aug 201830.6% of 85 movements
Sep 201825.9% of 81 movements
Oct 201818.3% of 82 movements
Nov 201810.9% of 64 movements
Dec 201820.8% of 72 movements
Jan 201920.0% of 75 movements
Feb 20197.8% of 64 movements
Mar 201911.6% of 69 movements
Apr 20196.8% of 73 movements
May 201914.7% of 75 movements
Jun 201928.2% of 78 movements
Jul 201925.0% of 84 movements
Aug 201927.4% of 84 movements
Sep 201928.0% of 82 movements
Oct 201917.1% of 70 movements
Nov 20196.2% of 48 movements — small sample, not ranked
Dec 201920.7% of 82 movements
Jan 202025.0% of 56 movements
Feb 202026.7% of 45 movements — small sample, not ranked
Mar 20206.5% of 46 movements — small sample, not ranked
Apr 2020suppressed: fewer than twenty movements
May 2020100.0% of 21 movements — small sample, not ranked
Jun 2020100.0% of 20 movements — small sample, not ranked
Jul 202022.5% of 40 movements — small sample, not ranked
Aug 202013.7% of 51 movements
Sep 20204.8% of 42 movements — small sample, not ranked
Oct 20209.3% of 43 movements — small sample, not ranked
Nov 2020suppressed: fewer than twenty movements
Dec 202042.3% of 52 movements
Jan 202166.7% of 27 movements — small sample, not ranked
Feb 202129.2% of 24 movements — small sample, not ranked
Mar 2021suppressed: fewer than twenty movements
Apr 2021no events in 21 movements — small sample, not ranked
May 20216.9% of 29 movements — small sample, not ranked
Jun 20215.6% of 36 movements — small sample, not ranked
Jul 202129.4% of 34 movements — small sample, not ranked
Aug 202121.3% of 61 movements
Sep 202123.0% of 61 movements
Oct 202113.2% of 53 movements
Nov 20216.2% of 32 movements — small sample, not ranked
Dec 202127.1% of 59 movements
Jan 202227.7% of 47 movements — small sample, not ranked
Feb 202222.2% of 36 movements — small sample, not ranked
Mar 202211.1% of 54 movements
Apr 202226.6% of 79 movements
May 202236.1% of 83 movements
Jun 202251.9% of 79 movements
Jul 202261.6% of 73 movements
Aug 202237.1% of 70 movements
Sep 202259.4% of 69 movements
Oct 202245.1% of 71 movements
Nov 202211.1% of 45 movements — small sample, not ranked
Dec 202225.0% of 68 movements
Jan 202321.8% of 55 movements
Feb 202312.8% of 47 movements — small sample, not ranked
Mar 202311.5% of 61 movements
Apr 202331.9% of 72 movements
May 202317.1% of 76 movements
Jun 202326.9% of 67 movements
Jul 202350.7% of 75 movements
Aug 202337.3% of 75 movements
Sep 202313.2% of 68 movements
Oct 202328.8% of 73 movements
Nov 202316.7% of 60 movements
Dec 202325.8% of 62 movements
Jan 202424.2% of 62 movements
Feb 20246.9% of 58 movements
Mar 20246.5% of 62 movements
Apr 20248.3% of 60 movements
May 202411.3% of 62 movements
Jun 202435.7% of 56 movements
Jul 202430.2% of 53 movements
Aug 202426.4% of 53 movements
Sep 202417.3% of 52 movements
Oct 202416.7% of 60 movements
Nov 202411.5% of 52 movements
Dec 202415.0% of 60 movements
Jan 202516.7% of 54 movements
Feb 20254.0% of 50 movements
Mar 20259.3% of 54 movements
Apr 20259.8% of 51 movements
May 20259.4% of 53 movements
Jun 202513.5% of 52 movements
Jul 202520.8% of 53 movements
Aug 202520.8% of 53 movements
Sep 202519.6% of 51 movements
Oct 202520.4% of 54 movements
Nov 202511.8% of 51 movements
Dec 202512.3% of 57 movements
Jan 202635.2% of 54 movements
Feb 202612.5% of 48 movements — small sample, not ranked
Mar 20263.9% of 51 movements
Apr 20266.4% of 47 movements — small sample, not ranked
May 20262.0% of 49 movements — small sample, not ranked
Jun 20267.1% of 42 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 2020Arrivals100.0% of 20 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departures100.0% of 20 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals61.6% of 73 movements24.7% across 678 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures86.3% of 73 movements43.2% across 680 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals37.3% of 75 movements29.2% across 776 flightsreturned the next month
NATS system failure · Aug 2023Departures52.0% of 75 movements52.8% across 780 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals9.3% of 54 movements16.6% across 674 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures16.7% of 54 movements32.8% across 672 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, 32.4% of arrivals were disrupted, measured across 6 Julys in the archive. April has been the calmest, at 9.8% across 7 Aprils.

Even July has ranged from 20.8% to 61.6% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201920.0% of 75 movements7.8% of 64 movements11.6% of 69 movements6.8% of 73 movements14.7% of 75 movements28.2% of 78 movements25.0% of 84 movements27.4% of 84 movements28.0% of 82 movements17.1% of 70 movements6.2% of 48 movements †20.7% of 82 movements202025.0% of 56 movements26.7% of 45 movements †6.5% of 46 movements †suppressed: fewer than twenty movements100.0% of 21 movements †100.0% of 20 movements †22.5% of 40 movements †13.7% of 51 movements4.8% of 42 movements †9.3% of 43 movements †suppressed: fewer than twenty movements42.3% of 52 movements202166.7% of 27 movements †29.2% of 24 movements †suppressed: fewer than twenty movementsno events in 21 movements †6.9% of 29 movements †5.6% of 36 movements †29.4% of 34 movements †21.3% of 61 movements23.0% of 61 movements13.2% of 53 movements6.2% of 32 movements †27.1% of 59 movements202227.7% of 47 movements †22.2% of 36 movements †11.1% of 54 movements26.6% of 79 movements36.1% of 83 movements51.9% of 79 movements61.6% of 73 movements37.1% of 70 movements59.4% of 69 movements45.1% of 71 movements11.1% of 45 movements †25.0% of 68 movements202321.8% of 55 movements12.8% of 47 movements †11.5% of 61 movements31.9% of 72 movements17.1% of 76 movements26.9% of 67 movements50.7% of 75 movements37.3% of 75 movements13.2% of 68 movements28.8% of 73 movements16.7% of 60 movements25.8% of 62 movements202424.2% of 62 movements6.9% of 58 movements6.5% of 62 movements8.3% of 60 movements11.3% of 62 movements35.7% of 56 movements30.2% of 53 movements26.4% of 53 movements17.3% of 52 movements16.7% of 60 movements11.5% of 52 movements15.0% of 60 movements202516.7% of 54 movements4.0% of 50 movements9.3% of 54 movements9.8% of 51 movements9.4% of 53 movements13.5% of 52 movements20.8% of 53 movements20.8% of 53 movements19.6% of 51 movements20.4% of 54 movements11.8% of 51 movements12.3% of 57 movements202635.2% of 54 movements12.5% of 48 movements †3.9% of 51 movements6.4% of 47 movements †2.0% of 49 movements †7.1% of 42 movements †no datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan24.2%16.7–35.2%7 months, 424 flights
Feb11.8%4.0–22.2%7 months, 371 flights
Mar11.1%3.9–16.2%7 months, 431 flights
Apr9.8%6.4–31.9%7 months, 481 flights
May14.3%2.0–36.1%7 months, 496 flights
Jun26.9%7.1–51.9%7 months, 455 flights
Jul32.4%20.8–61.6%6 months, 422 flights
Aug29.0%20.8–37.3%6 months, 420 flights
Sep22.8%13.2–59.4%6 months, 403 flights
Oct19.3%16.7–45.1%6 months, 410 flights
Nov11.3%6.2–16.7%6 months, 320 flights
Dec20.8%12.3–25.8%6 months, 401 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 Malta, 14.8% of 610 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 Air Malta14.8% of 610 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Blue Air Transport Aeriansuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Wizz Airsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Wizz Air Malta61014.8% of 610 movements0.2% of 610 movements0.7% of 610 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, LBA had the lowest disruption share at 19.0% of 105 movements and STN the highest at 36.1% of 169 movements. This route sits at 14.8% of 610 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 optionLba ↔ Cluj-Napoca19.0% of 105 flightsStn ↔ Cluj-Napoca36.1% of 169 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bhx ↔ Cluj-Napocasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Boh ↔ Cluj-Napocasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Cluj-Napocasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ema ↔ Cluj-Napocasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Cluj-Napocasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Cluj-Napoca10519.0% of 105 movements1.0% of 105 movementsno events in 105 movementsdescriptive comparison
Lgw ↔ Cluj-Napocasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lhr ↔ Cluj-Napocasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ Cluj-Napocasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Cluj-Napocasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sen ↔ Cluj-Napocasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sou ↔ Cluj-Napocasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Cluj-Napoca16936.1% of 169 movementsno events in 169 movements0.6% of 169 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into LTN ran 14.8% of 610 movements disrupted, departures 21.8% of 610 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 LTN14.8% of 610 movements0.2% of 610 movements0.7% of 610 movements
Departures from LTN21.8% of 610 movements0.2% of 610 movements0.7% of 610 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 5,93939 × £350 = £13,650
ArrivalsLast 72 months · Jul 2020–Jun 202635 flights out of 3,87835 × £350 = £12,250
DeparturesWhole archive · Jan 2018–Jun 202660 flights out of 5,94060 × £350 = £21,000
DeparturesLast 72 months · Jul 2020–Jun 202652 flights out of 3,87852 × £350 = £18,200
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 / countryCLUJ NAPOCA / ROMANIA
Final point codesCLJ / LRCL
Great-circle distance1,823 km
Maximum statutory amount for the band£350
Average operated arrivals per day1.67
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 archive102

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: 610; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

14.8% of 610 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.2% of 610 movements in the same window.

How many delays crossed three hours?

0.7% of 610 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?

1,823 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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