UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LTN ↔ IASI

In the twelve months from July 2025 to June 2026, 9.4% of 650 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, 90.6% of 650 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 217 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, 9.4% of 650 movements were disrupted and no events in 650 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
9.4% of 650 movementsno events in 650 movements25.7–82.3 min; N of delayed flights=61–170650
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 650 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 min9.4%30 min4.6%60 min2.5%120 min0.9%180 min0.5%360 min0.2%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min9.4% of 650 movements6110.7
>30 min4.6% of 650 movements3021.7
>60 min2.5% of 650 movements1640.6
>120 min0.9% of 650 movements6108.3
>180 min0.5% of 650 movements3216.7
>360 min0.2% of 650 movements1650.0
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 early22835.1%15–1 early25238.8%0–15 late10916.8%16–30314.8%31–60142.2%61…120101.5%121…18030.5%181…36020.3%>36010.2%D=650
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0667; 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: Apr 2019, no events in 51 movements. Worst month: Jul 2023, 54.4% of 79 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: 33.9%; sample: 562018Feb 2018: 15.9%; sample: 44Mar 2018: 24.5%; sample: 53Apr 2018: 10.9%; sample: 55May 2018: 18.5%; sample: 54Jun 2018: 18.2%; sample: 55Jul 2018: 17.9%; sample: 67Aug 2018: 11.9%; sample: 67Sep 2018: 20.0%; sample: 65Oct 2018: 12.2%; sample: 74Nov 2018: 17.5%; sample: 57Dec 2018: 20.0%; sample: 55Jan 2019: 18.5%; sample: 542019Feb 2019: 20.5%; sample: 44Mar 2019: 6.7%; sample: 45Apr 2019: 0.0%; sample: 51May 2019: 3.7%; sample: 54Jun 2019: 7.8%; sample: 51Jul 2019: 3.8%; sample: 53Aug 2019: 3.8%; sample: 53Sep 2019: 28.8%; sample: 52Oct 2019: 29.4%; sample: 51Nov 2019: 11.1%; sample: 45Dec 2019: 22.7%; sample: 44Jan 2020: 8.9%; sample: 452020Feb 2020: 22.0%; sample: 41Mar 2020: 12.5%; sample: 40Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 18.8%; sample: 48Aug 2020: 15.4%; sample: 65Sep 2020: 7.8%; sample: 64Oct 2020: 12.5%; sample: 40Nov 2020: suppressed: fewer than twenty movements×Dec 2020: 51.4%; sample: 35Jan 2021: 45.5%; sample: 222021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: suppressed: fewer than twenty movements×May 2021: 26.1%; sample: 23Jun 2021: 0.0%; sample: 28Jul 2021: 33.3%; sample: 30Aug 2021: 18.9%; sample: 53Sep 2021: 13.5%; sample: 52Oct 2021: 10.9%; sample: 46Nov 2021: 11.5%; sample: 26Dec 2021: 38.1%; sample: 42Jan 2022: 5.9%; sample: 342022Feb 2022: 18.2%; sample: 33Mar 2022: 16.1%; sample: 62Apr 2022: 25.0%; sample: 60May 2022: 24.5%; sample: 102Jun 2022: 52.3%; sample: 107Jul 2022: 40.5%; sample: 84Aug 2022: 31.2%; sample: 77Sep 2022: 52.9%; sample: 68Oct 2022: 36.5%; sample: 63Nov 2022: 18.4%; sample: 38Dec 2022: 36.4%; sample: 55Jan 2023: 20.4%; sample: 492023Feb 2023: 12.8%; sample: 39Mar 2023: 11.1%; sample: 54Apr 2023: 21.0%; sample: 81May 2023: 15.1%; sample: 86Jun 2023: 26.2%; sample: 80Jul 2023: 54.4%; sample: 79Aug 2023: 34.7%; sample: 72Sep 2023: 19.1%; sample: 68Oct 2023: 26.8%; sample: 71Nov 2023: 10.3%; sample: 68Dec 2023: 20.9%; sample: 67Jan 2024: 21.5%; sample: 652024Feb 2024: 6.9%; sample: 58Mar 2024: 3.2%; sample: 62Apr 2024: 8.3%; sample: 60May 2024: 3.2%; sample: 62Jun 2024: 23.3%; sample: 60Jul 2024: 27.9%; sample: 61Aug 2024: 17.7%; sample: 62Sep 2024: 18.3%; sample: 60Oct 2024: 17.7%; sample: 62Nov 2024: 10.0%; sample: 60Dec 2024: 16.9%; sample: 59Jan 2025: 18.0%; sample: 612025Feb 2025: 8.9%; sample: 56Mar 2025: 6.5%; sample: 62Apr 2025: 3.3%; sample: 60May 2025: 8.1%; sample: 62Jun 2025: 15.0%; sample: 60Jul 2025: 14.5%; sample: 62Aug 2025: 11.3%; sample: 62Sep 2025: 18.3%; sample: 60Oct 2025: 9.7%; sample: 62Nov 2025: 10.0%; sample: 60Dec 2025: 8.1%; sample: 62Jan 2026: 13.6%; sample: 592026Feb 2026: 7.7%; sample: 52Mar 2026: 3.7%; sample: 54Apr 2026: 0.0%; sample: 38May 2026: 2.5%; sample: 40Jun 2026: 5.1%; sample: 39Pandemic 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 201833.9% of 56 movements
Feb 201815.9% of 44 movements — small sample, not ranked
Mar 201824.5% of 53 movements
Apr 201810.9% of 55 movements
May 201818.5% of 54 movements
Jun 201818.2% of 55 movements
Jul 201817.9% of 67 movements
Aug 201811.9% of 67 movements
Sep 201820.0% of 65 movements
Oct 201812.2% of 74 movements
Nov 201817.5% of 57 movements
Dec 201820.0% of 55 movements
Jan 201918.5% of 54 movements
Feb 201920.5% of 44 movements — small sample, not ranked
Mar 20196.7% of 45 movements — small sample, not ranked
Apr 2019no events in 51 movements
May 20193.7% of 54 movements
Jun 20197.8% of 51 movements
Jul 20193.8% of 53 movements
Aug 20193.8% of 53 movements
Sep 201928.8% of 52 movements
Oct 201929.4% of 51 movements
Nov 201911.1% of 45 movements — small sample, not ranked
Dec 201922.7% of 44 movements — small sample, not ranked
Jan 20208.9% of 45 movements — small sample, not ranked
Feb 202022.0% of 41 movements — small sample, not ranked
Mar 202012.5% of 40 movements — small sample, not ranked
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 202018.8% of 48 movements — small sample, not ranked
Aug 202015.4% of 65 movements
Sep 20207.8% of 64 movements
Oct 202012.5% of 40 movements — small sample, not ranked
Nov 2020suppressed: fewer than twenty movements
Dec 202051.4% of 35 movements — small sample, not ranked
Jan 202145.5% of 22 movements — small sample, not ranked
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 2021suppressed: fewer than twenty movements
May 202126.1% of 23 movements — small sample, not ranked
Jun 2021no events in 28 movements — small sample, not ranked
Jul 202133.3% of 30 movements — small sample, not ranked
Aug 202118.9% of 53 movements
Sep 202113.5% of 52 movements
Oct 202110.9% of 46 movements — small sample, not ranked
Nov 202111.5% of 26 movements — small sample, not ranked
Dec 202138.1% of 42 movements — small sample, not ranked
Jan 20225.9% of 34 movements — small sample, not ranked
Feb 202218.2% of 33 movements — small sample, not ranked
Mar 202216.1% of 62 movements
Apr 202225.0% of 60 movements
May 202224.5% of 102 movements
Jun 202252.3% of 107 movements
Jul 202240.5% of 84 movements
Aug 202231.2% of 77 movements
Sep 202252.9% of 68 movements
Oct 202236.5% of 63 movements
Nov 202218.4% of 38 movements — small sample, not ranked
Dec 202236.4% of 55 movements
Jan 202320.4% of 49 movements — small sample, not ranked
Feb 202312.8% of 39 movements — small sample, not ranked
Mar 202311.1% of 54 movements
Apr 202321.0% of 81 movements
May 202315.1% of 86 movements
Jun 202326.2% of 80 movements
Jul 202354.4% of 79 movements
Aug 202334.7% of 72 movements
Sep 202319.1% of 68 movements
Oct 202326.8% of 71 movements
Nov 202310.3% of 68 movements
Dec 202320.9% of 67 movements
Jan 202421.5% of 65 movements
Feb 20246.9% of 58 movements
Mar 20243.2% of 62 movements
Apr 20248.3% of 60 movements
May 20243.2% of 62 movements
Jun 202423.3% of 60 movements
Jul 202427.9% of 61 movements
Aug 202417.7% of 62 movements
Sep 202418.3% of 60 movements
Oct 202417.7% of 62 movements
Nov 202410.0% of 60 movements
Dec 202416.9% of 59 movements
Jan 202518.0% of 61 movements
Feb 20258.9% of 56 movements
Mar 20256.5% of 62 movements
Apr 20253.3% of 60 movements
May 20258.1% of 62 movements
Jun 202515.0% of 60 movements
Jul 202514.5% of 62 movements
Aug 202511.3% of 62 movements
Sep 202518.3% of 60 movements
Oct 20259.7% of 62 movements
Nov 202510.0% of 60 movements
Dec 20258.1% of 62 movements
Jan 202613.6% of 59 movements
Feb 20267.7% of 52 movements
Mar 20263.7% of 54 movements
Apr 2026no events in 38 movements — small sample, not ranked
May 20262.5% of 40 movements — small sample, not ranked
Jun 20265.1% of 39 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 2022Arrivals40.5% of 84 movements22.4% across 647 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures87.1% of 85 movements38.3% across 647 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals34.7% of 72 movements28.0% across 769 flightsreturned the next month
NATS system failure · Aug 2023Departures52.8% of 72 movements59.5% across 772 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals6.5% of 62 movements14.5% across 725 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures11.3% of 62 movements28.0% across 729 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, 22.9% of arrivals were disrupted, measured across 6 Julys in the archive. March has been the calmest, at 6.7% across 7 Marchs.

Even July has ranged from 3.8% to 54.4% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201918.5% of 54 movements20.5% of 44 movements †6.7% of 45 movements †no events in 51 movements3.7% of 54 movements7.8% of 51 movements3.8% of 53 movements3.8% of 53 movements28.8% of 52 movements29.4% of 51 movements11.1% of 45 movements †22.7% of 44 movements †20208.9% of 45 movements †22.0% of 41 movements †12.5% of 40 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements18.8% of 48 movements †15.4% of 65 movements7.8% of 64 movements12.5% of 40 movements †suppressed: fewer than twenty movements51.4% of 35 movements †202145.5% of 22 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements26.1% of 23 movements †no events in 28 movements †33.3% of 30 movements †18.9% of 53 movements13.5% of 52 movements10.9% of 46 movements †11.5% of 26 movements †38.1% of 42 movements †20225.9% of 34 movements †18.2% of 33 movements †16.1% of 62 movements25.0% of 60 movements24.5% of 102 movements52.3% of 107 movements40.5% of 84 movements31.2% of 77 movements52.9% of 68 movements36.5% of 63 movements18.4% of 38 movements †36.4% of 55 movements202320.4% of 49 movements †12.8% of 39 movements †11.1% of 54 movements21.0% of 81 movements15.1% of 86 movements26.2% of 80 movements54.4% of 79 movements34.7% of 72 movements19.1% of 68 movements26.8% of 71 movements10.3% of 68 movements20.9% of 67 movements202421.5% of 65 movements6.9% of 58 movements3.2% of 62 movements8.3% of 60 movements3.2% of 62 movements23.3% of 60 movements27.9% of 61 movements17.7% of 62 movements18.3% of 60 movements17.7% of 62 movements10.0% of 60 movements16.9% of 59 movements202518.0% of 61 movements8.9% of 56 movements6.5% of 62 movements3.3% of 60 movements8.1% of 62 movements15.0% of 60 movements14.5% of 62 movements11.3% of 62 movements18.3% of 60 movements9.7% of 62 movements10.0% of 60 movements8.1% of 62 movements202613.6% of 59 movements7.7% of 52 movements3.7% of 54 movementsno events in 38 movements †2.5% of 40 movements †5.1% of 39 movements †no datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan18.5%5.9–33.9%7 months, 378 flights
Feb12.8%6.9–20.5%7 months, 326 flights
Mar6.7%3.2–24.5%7 months, 392 flights
Apr8.3%0.0–25.0%7 months, 405 flights
May8.1%2.5–24.5%7 months, 460 flights
Jun18.2%5.1–52.3%7 months, 452 flights
Jul22.9%3.8–54.4%6 months, 406 flights
Aug14.8%3.8–34.7%6 months, 393 flights
Sep19.6%18.3–52.9%6 months, 373 flights
Oct22.3%9.7–36.5%6 months, 383 flights
Nov10.7%10.0–18.4%6 months, 328 flights
Dec20.4%8.1–36.4%6 months, 342 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, 9.4% of 650 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 Malta9.4% of 650 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
Taromsuppressed: 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 Malta6509.4% of 650 movementsno events in 650 movements0.5% of 650 movementsdescriptive comparison
Wizz Air Uksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

The noise check is a descriptive approximation assuming independent operations. Delay correlation and mix differences are not estimated; no ranking is derived.

Would another UK airport have been better?

Among UK airports flying to this city with enough flights to publish, LPL had the lowest disruption share at 10.9% of 147 movements and LPL the highest at 10.9% of 147 movements. This route sits at 9.4% of 650 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 optionLpl ↔ Iasi10.9% of 147 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bhx ↔ Iasisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Iasisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Iasisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lhr ↔ Iasisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ Iasi14710.9% of 147 movementsno events in 147 movementsno events in 147 movementsdescriptive comparison
Sen ↔ Iasisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Iasisuppressed: 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 9.4% of 650 movements disrupted, departures 14.3% of 650 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 LTN9.4% of 650 movementsno events in 650 movements0.5% of 650 movements
Departures from LTN14.3% of 650 movementsno events in 650 movements0.5% of 650 movements
Definitions, denominators and limits

CAA conditions on delays and cancellations.

How many flights here crossed the three-hour mark?

The table below counts arrivals and departures that ran more than three hours late — the threshold that is one of the conditions for compensation — across the whole archive and within the last six years.

The pound figure beside each count is arithmetic, not money anyone received: it is the count multiplied by the maximum statutory amount for this distance band. Whether any of those flights actually qualified is not knowable from this data.

DirectionWindowFlights over three hoursArithmetic statutory ceiling
ArrivalsWhole archive · Jan 2018–Jun 202648 flights out of 5,42248 × £350 = £16,800
ArrivalsLast 72 months · Jul 2020–Jun 202633 flights out of 3,96433 × £350 = £11,550
DeparturesWhole archive · Jan 2018–Jun 202659 flights out of 5,41659 × £350 = £20,650
DeparturesLast 72 months · Jul 2020–Jun 202648 flights out of 3,96648 × £350 = £16,800
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 / countryIASI / ROMANIA
Final point codesIAS / LRIA
Great-circle distance2,072 km
Maximum statutory amount for the band£350
Average operated arrivals per day1.78
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: 650; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

9.4% of 650 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 650 movements in the same window.

How many delays crossed three hours?

0.5% of 650 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?

2,072 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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