UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LTN ↔ SUCEAVA

In the twelve months from July 2025 to June 2026, 15.2% of 611 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, 84.8% of 611 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 87 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, 15.2% of 611 movements were disrupted and 1.1% of 611 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
15.2% of 611 movements1.1% of 611 movements39.7–79.1 min; N of delayed flights=86–157611
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: 1.1% of 611 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 min14.1%30 min10.0%60 min5.4%120 min2.5%180 min1.1%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min14.1% of 611 movements867.1
>30 min10.0% of 611 movements6110.0
>60 min5.4% of 611 movements3318.5
>120 min2.5% of 611 movements1540.7
>180 min1.1% of 611 movements787.3
>360 minno events in 611 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 early28446.5%15–1 early16326.7%0–15 late7111.6%16–30254.1%31–60284.6%61…120182.9%121…18081.3%181…36071.1%>36000.0%D=611
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.1321; 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: May 2026, 1.7% of 58 movements. Worst month: Jul 2024, 52.4% of 63 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: 50.0%; sample: 202018Feb 2018: 45.0%; sample: 20Mar 2018: 41.7%; sample: 24Apr 2018: 33.3%; sample: 30May 2018: 37.0%; sample: 27Jun 2018: 25.0%; sample: 28Jul 2018: 29.0%; sample: 31Aug 2018: 12.9%; sample: 31Sep 2018: 12.9%; sample: 31Oct 2018: 16.7%; sample: 30Nov 2018: 36.0%; sample: 25Dec 2018: 35.7%; sample: 28Jan 2019: 21.4%; sample: 282019Feb 2019: 25.0%; sample: 24Mar 2019: 22.2%; sample: 27Apr 2019: 9.7%; sample: 31May 2019: 6.5%; sample: 31Jun 2019: 10.0%; sample: 30Jul 2019: 33.3%; sample: 30Aug 2019: 19.4%; sample: 31Sep 2019: 37.8%; sample: 37Oct 2019: 17.5%; sample: 40Nov 2019: 32.1%; sample: 28Dec 2019: 27.0%; sample: 37Jan 2020: 11.4%; sample: 352020Feb 2020: 31.0%; sample: 29Mar 2020: 15.4%; sample: 26Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 31.2%; sample: 32Aug 2020: 8.7%; sample: 46Sep 2020: 1.9%; sample: 53Oct 2020: 15.4%; sample: 39Nov 2020: suppressed: fewer than twenty movements×Dec 2020: 63.3%; sample: 30Jan 2021: 65.0%; sample: 202021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: suppressed: fewer than twenty movements×May 2021: 19.0%; sample: 21Jun 2021: 4.2%; sample: 24Jul 2021: 25.9%; sample: 27Aug 2021: 57.1%; sample: 35Sep 2021: 28.2%; sample: 39Oct 2021: 7.5%; sample: 40Nov 2021: 11.5%; sample: 26Dec 2021: 30.3%; sample: 33Jan 2022: 22.2%; sample: 272022Feb 2022: 32.0%; sample: 25Mar 2022: 42.4%; sample: 33Apr 2022: 37.9%; sample: 29May 2022: 52.9%; sample: 34Jun 2022: 63.9%; sample: 36Jul 2022: 73.0%; sample: 37Aug 2022: 69.8%; sample: 43Sep 2022: 57.1%; sample: 42Oct 2022: 53.7%; sample: 41Nov 2022: 22.2%; sample: 45Dec 2022: 50.0%; sample: 46Jan 2023: 33.3%; sample: 482023Feb 2023: 20.8%; sample: 48Mar 2023: 11.5%; sample: 52Apr 2023: 23.8%; sample: 42May 2023: 13.3%; sample: 45Jun 2023: 20.9%; sample: 43Jul 2023: 25.0%; sample: 44Aug 2023: 22.2%; sample: 45Sep 2023: 18.6%; sample: 43Oct 2023: 20.0%; sample: 45Nov 2023: 31.2%; sample: 48Dec 2023: 36.1%; sample: 61Jan 2024: 20.3%; sample: 642024Feb 2024: 23.1%; sample: 52Mar 2024: 20.0%; sample: 50Apr 2024: 8.9%; sample: 45May 2024: 25.0%; sample: 48Jun 2024: 31.7%; sample: 60Jul 2024: 52.4%; sample: 63Aug 2024: 25.8%; sample: 62Sep 2024: 35.0%; sample: 60Oct 2024: 13.3%; sample: 60Nov 2024: 20.9%; sample: 43Dec 2024: 25.5%; sample: 51Jan 2025: 26.9%; sample: 522025Feb 2025: 30.0%; sample: 50Mar 2025: 12.2%; sample: 49Apr 2025: 25.0%; sample: 60May 2025: 22.2%; sample: 63Jun 2025: 8.3%; sample: 60Jul 2025: 12.9%; sample: 62Aug 2025: 22.6%; sample: 62Sep 2025: 31.0%; sample: 58Oct 2025: 16.7%; sample: 54Nov 2025: 3.2%; sample: 31Dec 2025: 24.5%; sample: 49Jan 2026: 24.5%; sample: 492026Feb 2026: 23.8%; sample: 42Mar 2026: 10.2%; sample: 49Apr 2026: 0.0%; sample: 47May 2026: 1.7%; sample: 58Jun 2026: 6.0%; sample: 50Pandemic 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 201850.0% of 20 movements — small sample, not ranked
Feb 201845.0% of 20 movements — small sample, not ranked
Mar 201841.7% of 24 movements — small sample, not ranked
Apr 201833.3% of 30 movements — small sample, not ranked
May 201837.0% of 27 movements — small sample, not ranked
Jun 201825.0% of 28 movements — small sample, not ranked
Jul 201829.0% of 31 movements — small sample, not ranked
Aug 201812.9% of 31 movements — small sample, not ranked
Sep 201812.9% of 31 movements — small sample, not ranked
Oct 201816.7% of 30 movements — small sample, not ranked
Nov 201836.0% of 25 movements — small sample, not ranked
Dec 201835.7% of 28 movements — small sample, not ranked
Jan 201921.4% of 28 movements — small sample, not ranked
Feb 201925.0% of 24 movements — small sample, not ranked
Mar 201922.2% of 27 movements — small sample, not ranked
Apr 20199.7% of 31 movements — small sample, not ranked
May 20196.5% of 31 movements — small sample, not ranked
Jun 201910.0% of 30 movements — small sample, not ranked
Jul 201933.3% of 30 movements — small sample, not ranked
Aug 201919.4% of 31 movements — small sample, not ranked
Sep 201937.8% of 37 movements — small sample, not ranked
Oct 201917.5% of 40 movements — small sample, not ranked
Nov 201932.1% of 28 movements — small sample, not ranked
Dec 201927.0% of 37 movements — small sample, not ranked
Jan 202011.4% of 35 movements — small sample, not ranked
Feb 202031.0% of 29 movements — small sample, not ranked
Mar 202015.4% of 26 movements — small sample, not ranked
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 202031.2% of 32 movements — small sample, not ranked
Aug 20208.7% of 46 movements — small sample, not ranked
Sep 20201.9% of 53 movements
Oct 202015.4% of 39 movements — small sample, not ranked
Nov 2020suppressed: fewer than twenty movements
Dec 202063.3% of 30 movements — small sample, not ranked
Jan 202165.0% of 20 movements — small sample, not ranked
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 2021suppressed: fewer than twenty movements
May 202119.0% of 21 movements — small sample, not ranked
Jun 20214.2% of 24 movements — small sample, not ranked
Jul 202125.9% of 27 movements — small sample, not ranked
Aug 202157.1% of 35 movements — small sample, not ranked
Sep 202128.2% of 39 movements — small sample, not ranked
Oct 20217.5% of 40 movements — small sample, not ranked
Nov 202111.5% of 26 movements — small sample, not ranked
Dec 202130.3% of 33 movements — small sample, not ranked
Jan 202222.2% of 27 movements — small sample, not ranked
Feb 202232.0% of 25 movements — small sample, not ranked
Mar 202242.4% of 33 movements — small sample, not ranked
Apr 202237.9% of 29 movements — small sample, not ranked
May 202252.9% of 34 movements — small sample, not ranked
Jun 202263.9% of 36 movements — small sample, not ranked
Jul 202273.0% of 37 movements — small sample, not ranked
Aug 202269.8% of 43 movements — small sample, not ranked
Sep 202257.1% of 42 movements — small sample, not ranked
Oct 202253.7% of 41 movements — small sample, not ranked
Nov 202222.2% of 45 movements — small sample, not ranked
Dec 202250.0% of 46 movements — small sample, not ranked
Jan 202333.3% of 48 movements — small sample, not ranked
Feb 202320.8% of 48 movements — small sample, not ranked
Mar 202311.5% of 52 movements
Apr 202323.8% of 42 movements — small sample, not ranked
May 202313.3% of 45 movements — small sample, not ranked
Jun 202320.9% of 43 movements — small sample, not ranked
Jul 202325.0% of 44 movements — small sample, not ranked
Aug 202322.2% of 45 movements — small sample, not ranked
Sep 202318.6% of 43 movements — small sample, not ranked
Oct 202320.0% of 45 movements — small sample, not ranked
Nov 202331.2% of 48 movements — small sample, not ranked
Dec 202336.1% of 61 movements
Jan 202420.3% of 64 movements
Feb 202423.1% of 52 movements
Mar 202420.0% of 50 movements
Apr 20248.9% of 45 movements — small sample, not ranked
May 202425.0% of 48 movements — small sample, not ranked
Jun 202431.7% of 60 movements
Jul 202452.4% of 63 movements
Aug 202425.8% of 62 movements
Sep 202435.0% of 60 movements
Oct 202413.3% of 60 movements
Nov 202420.9% of 43 movements — small sample, not ranked
Dec 202425.5% of 51 movements
Jan 202526.9% of 52 movements
Feb 202530.0% of 50 movements
Mar 202512.2% of 49 movements — small sample, not ranked
Apr 202525.0% of 60 movements
May 202522.2% of 63 movements
Jun 20258.3% of 60 movements
Jul 202512.9% of 62 movements
Aug 202522.6% of 62 movements
Sep 202531.0% of 58 movements
Oct 202516.7% of 54 movements
Nov 20253.2% of 31 movements — small sample, not ranked
Dec 202524.5% of 49 movements — small sample, not ranked
Jan 202624.5% of 49 movements — small sample, not ranked
Feb 202623.8% of 42 movements — small sample, not ranked
Mar 202610.2% of 49 movements — small sample, not ranked
Apr 2026no events in 47 movements — small sample, not ranked
May 20261.7% of 58 movements
Jun 20266.0% of 50 movements

What did the big disruptions actually do here?

Each named event below is shown against this route’s own baseline for the twelve months before it, and against how long the route took to get back to that baseline.

A month worse than baseline is not proof the named event caused it: the open data carry no delay-cause field at all. Some events sit near the edge of the archive, which limits how long a recovery can be traced.

EventDirectionDisruption that monthBaseline beforeReturn to baseline
Pandemic regime · Jun 2020Arrivalssuppressed: fewer than twenty movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departuressuppressed: fewer than twenty movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals73.0% of 37 movements — small sample, not ranked34.3% across 384 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures65.8% of 38 movements — small sample, not ranked18.2% across 388 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals22.2% of 45 movements — small sample, not ranked33.5% across 539 flightsreturned the next month
NATS system failure · Aug 2023Departures44.4% of 45 movements — small sample, not ranked44.1% across 549 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals12.2% of 49 movements — small sample, not ranked26.3% across 644 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures18.4% of 49 movements — small sample, not ranked25.2% across 644 flightsreturned after 2 months
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?

September has historically been the hardest month on this route: in a typical September, 33.0% of arrivals were disrupted, measured across 6 Septembers in the archive. October has been the calmest, at 17.1% across 6 Octobers.

Even September has ranged from 12.9% to 57.1% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201921.4% of 28 movements †25.0% of 24 movements †22.2% of 27 movements †9.7% of 31 movements †6.5% of 31 movements †10.0% of 30 movements †33.3% of 30 movements †19.4% of 31 movements †37.8% of 37 movements †17.5% of 40 movements †32.1% of 28 movements †27.0% of 37 movements †202011.4% of 35 movements †31.0% of 29 movements †15.4% of 26 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements31.2% of 32 movements †8.7% of 46 movements †1.9% of 53 movements15.4% of 39 movements †suppressed: fewer than twenty movements63.3% of 30 movements †202165.0% of 20 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements19.0% of 21 movements †4.2% of 24 movements †25.9% of 27 movements †57.1% of 35 movements †28.2% of 39 movements †7.5% of 40 movements †11.5% of 26 movements †30.3% of 33 movements †202222.2% of 27 movements †32.0% of 25 movements †42.4% of 33 movements †37.9% of 29 movements †52.9% of 34 movements †63.9% of 36 movements †73.0% of 37 movements †69.8% of 43 movements †57.1% of 42 movements †53.7% of 41 movements †22.2% of 45 movements †50.0% of 46 movements †202333.3% of 48 movements †20.8% of 48 movements †11.5% of 52 movements23.8% of 42 movements †13.3% of 45 movements †20.9% of 43 movements †25.0% of 44 movements †22.2% of 45 movements †18.6% of 43 movements †20.0% of 45 movements †31.2% of 48 movements †36.1% of 61 movements202420.3% of 64 movements23.1% of 52 movements20.0% of 50 movements8.9% of 45 movements †25.0% of 48 movements †31.7% of 60 movements52.4% of 63 movements25.8% of 62 movements35.0% of 60 movements13.3% of 60 movements20.9% of 43 movements †25.5% of 51 movements202526.9% of 52 movements30.0% of 50 movements12.2% of 49 movements †25.0% of 60 movements22.2% of 63 movements8.3% of 60 movements12.9% of 62 movements22.6% of 62 movements31.0% of 58 movements16.7% of 54 movements3.2% of 31 movements †24.5% of 49 movements †202624.5% of 49 movements †23.8% of 42 movements †10.2% of 49 movements †no events in 47 movements †1.7% of 58 movements6.0% of 50 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan24.5%20.3–50.0%7 months, 288 flights
Feb25.0%20.8–45.0%7 months, 261 flights
Mar20.0%10.2–42.4%7 months, 284 flights
Apr23.8%0.0–37.9%7 months, 284 flights
May22.2%1.7–52.9%7 months, 306 flights
Jun20.9%6.0–63.9%7 months, 307 flights
Jul31.2%12.9–73.0%6 months, 267 flights
Aug22.4%12.9–69.8%6 months, 274 flights
Sep33.0%12.9–57.1%6 months, 271 flights
Oct17.1%13.3–53.7%6 months, 270 flights
Nov26.7%3.2–36.0%6 months, 220 flights
Dec31.4%24.5–50.0%6 months, 272 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 Malta 11.2% of 276 movements, Wizz Air Uk 18.5% of 335 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 optionWizz Air Malta11.2% of 276 flightsWizz Air Uk18.5% of 335 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
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 Malta27611.2% of 276 movements0.7% of 276 movementsno events in 276 movementsdescriptive comparison
Wizz Air Uk33518.5% of 335 movements1.5% of 335 movements2.1% of 335 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, BHX had the lowest disruption share at 9.1% of 77 movements and BHX the highest at 9.1% of 77 movements. This route sits at 15.2% of 611 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 optionBhx ↔ Suceava9.1% of 77 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bhx ↔ Suceava779.1% of 77 movements1.3% of 77 movementsno events in 77 movementsdescriptive comparison
Doncaster-Sheffield ↔ Suceavasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Suceavasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Suceavasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

Does the direction you are flying change anything?

Yes: arrivals into LTN ran 15.2% of 611 movements disrupted, departures 22.1% of 614 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 LTN15.2% of 611 movements1.1% of 611 movements1.1% of 611 movements
Departures from LTN22.1% of 614 movements0.3% of 614 movements1.5% of 614 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 202658 flights out of 3,92158 × £350 = £20,300
ArrivalsLast 72 months · Jul 2020–Jun 202650 flights out of 3,11250 × £350 = £17,500
DeparturesWhole archive · Jan 2018–Jun 202652 flights out of 3,95652 × £350 = £18,200
DeparturesLast 72 months · Jul 2020–Jun 202647 flights out of 3,14347 × £350 = £16,450
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 / countrySUCEAVA / ROMANIA
Final point codesSCV / LRSV
Great-circle distance1,962 km
Maximum statutory amount for the band£350
Average operated arrivals per day1.65
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: 611; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

15.2% of 611 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

1.1% of 611 movements in the same window.

How many delays crossed three hours?

1.1% of 611 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?

1,962 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

We'll email you once; unsubscribe any time.

Related records