UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ KUWAIT

In the twelve months from July 2025 to June 2026, 29.9% of 623 movements arriving into LHR were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 70.1% of 623 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 89 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, 29.9% of 623 movements were disrupted and 14.0% of 623 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
29.9% of 623 movements14.0% of 623 movements35.7–81.0 min; N of delayed flights=99–210623
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: 14.0% of 623 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 min15.9%30 min9.3%60 min4.8%120 min2.4%180 min1.1%360 min0.3%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min15.9% of 623 movements996.3
>30 min9.3% of 623 movements5810.7
>60 min4.8% of 623 movements3020.8
>120 min2.4% of 623 movements1541.5
>180 min1.1% of 623 movements789.0
>360 min0.3% of 623 movements2311.5
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 early16626.6%15–1 early16025.7%0–15 late11117.8%16–30416.6%31–60284.5%61…120152.4%121…18081.3%181…36050.8%>36020.3%D=623
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.1014; 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 2025, 2.9% of 69 movements. Worst month: Oct 2022, 61.4% of 70 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: 45.9%; sample: 742018Feb 2018: 28.4%; sample: 67Mar 2018: 35.5%; sample: 76Apr 2018: 39.7%; sample: 73May 2018: 14.7%; sample: 75Jun 2018: 20.5%; sample: 73Jul 2018: 21.3%; sample: 75Aug 2018: 26.3%; sample: 76Sep 2018: 27.4%; sample: 73Oct 2018: 32.0%; sample: 75Nov 2018: 41.9%; sample: 74Dec 2018: 49.3%; sample: 75Jan 2019: 25.3%; sample: 752019Feb 2019: 7.4%; sample: 68Mar 2019: 13.2%; sample: 76Apr 2019: 17.3%; sample: 81May 2019: 7.5%; sample: 80Jun 2019: 14.1%; sample: 85Jul 2019: 6.9%; sample: 87Aug 2019: 15.9%; sample: 88Sep 2019: 17.9%; sample: 84Oct 2019: 18.2%; sample: 88Nov 2019: 7.4%; sample: 81Dec 2019: 10.7%; sample: 84Jan 2020: 27.1%; sample: 852020Feb 2020: 48.1%; sample: 77Mar 2020: 33.3%; sample: 45Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: suppressed: fewer than twenty movements×Aug 2020: suppressed: fewer than twenty movements×Sep 2020: 3.6%; sample: 28Oct 2020: 27.3%; sample: 33Nov 2020: 9.1%; sample: 22Dec 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: suppressed: fewer than twenty movements×Jul 2021: 19.0%; sample: 21Aug 2021: 48.1%; sample: 27Sep 2021: 52.9%; sample: 34Oct 2021: 51.2%; sample: 41Nov 2021: 26.7%; sample: 45Dec 2021: 39.7%; sample: 68Jan 2022: 25.5%; sample: 512022Feb 2022: 28.9%; sample: 45Mar 2022: 26.3%; sample: 57Apr 2022: 31.5%; sample: 73May 2022: 53.8%; sample: 78Jun 2022: 51.4%; sample: 72Jul 2022: 43.7%; sample: 71Aug 2022: 28.2%; sample: 71Sep 2022: 50.0%; sample: 68Oct 2022: 61.4%; sample: 70Nov 2022: 23.5%; sample: 68Dec 2022: 54.8%; sample: 73Jan 2023: 44.4%; sample: 722023Feb 2023: 49.3%; sample: 69Mar 2023: 43.8%; sample: 73Apr 2023: 49.3%; sample: 75May 2023: 36.9%; sample: 84Jun 2023: 44.4%; sample: 90Jul 2023: 55.4%; sample: 92Aug 2023: 47.3%; sample: 93Sep 2023: 50.0%; sample: 90Oct 2023: 53.3%; sample: 92Nov 2023: 54.8%; sample: 84Dec 2023: 47.2%; sample: 89Jan 2024: 37.5%; sample: 882024Feb 2024: 33.7%; sample: 83Mar 2024: 13.7%; sample: 73Apr 2024: 20.7%; sample: 82May 2024: 18.2%; sample: 88Jun 2024: 9.2%; sample: 87Jul 2024: 15.9%; sample: 88Aug 2024: 17.0%; sample: 88Sep 2024: 24.4%; sample: 86Oct 2024: 50.0%; sample: 82Nov 2024: 16.5%; sample: 85Dec 2024: 9.1%; sample: 88Jan 2025: 21.3%; sample: 892025Feb 2025: 25.6%; sample: 78Mar 2025: 18.4%; sample: 76Apr 2025: 2.9%; sample: 69May 2025: 8.6%; sample: 70Jun 2025: 11.6%; sample: 69Jul 2025: 16.9%; sample: 71Aug 2025: 14.1%; sample: 71Sep 2025: 7.2%; sample: 69Oct 2025: 10.8%; sample: 65Nov 2025: 39.6%; sample: 48Dec 2025: 25.0%; sample: 52Jan 2026: 45.3%; sample: 532026Feb 2026: 15.9%; sample: 44Mar 2026: 100.0%; sample: 39Apr 2026: 95.0%; sample: 40May 2026: 31.2%; sample: 32Jun 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 201845.9% of 74 movements
Feb 201828.4% of 67 movements
Mar 201835.5% of 76 movements
Apr 201839.7% of 73 movements
May 201814.7% of 75 movements
Jun 201820.5% of 73 movements
Jul 201821.3% of 75 movements
Aug 201826.3% of 76 movements
Sep 201827.4% of 73 movements
Oct 201832.0% of 75 movements
Nov 201841.9% of 74 movements
Dec 201849.3% of 75 movements
Jan 201925.3% of 75 movements
Feb 20197.4% of 68 movements
Mar 201913.2% of 76 movements
Apr 201917.3% of 81 movements
May 20197.5% of 80 movements
Jun 201914.1% of 85 movements
Jul 20196.9% of 87 movements
Aug 201915.9% of 88 movements
Sep 201917.9% of 84 movements
Oct 201918.2% of 88 movements
Nov 20197.4% of 81 movements
Dec 201910.7% of 84 movements
Jan 202027.1% of 85 movements
Feb 202048.1% of 77 movements
Mar 202033.3% of 45 movements — small sample, not ranked
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 2020suppressed: fewer than twenty movements
Aug 2020suppressed: fewer than twenty movements
Sep 20203.6% of 28 movements — small sample, not ranked
Oct 202027.3% of 33 movements — small sample, not ranked
Nov 20209.1% of 22 movements — small sample, not ranked
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 2021suppressed: fewer than twenty movements
Jul 202119.0% of 21 movements — small sample, not ranked
Aug 202148.1% of 27 movements — small sample, not ranked
Sep 202152.9% of 34 movements — small sample, not ranked
Oct 202151.2% of 41 movements — small sample, not ranked
Nov 202126.7% of 45 movements — small sample, not ranked
Dec 202139.7% of 68 movements
Jan 202225.5% of 51 movements
Feb 202228.9% of 45 movements — small sample, not ranked
Mar 202226.3% of 57 movements
Apr 202231.5% of 73 movements
May 202253.8% of 78 movements
Jun 202251.4% of 72 movements
Jul 202243.7% of 71 movements
Aug 202228.2% of 71 movements
Sep 202250.0% of 68 movements
Oct 202261.4% of 70 movements
Nov 202223.5% of 68 movements
Dec 202254.8% of 73 movements
Jan 202344.4% of 72 movements
Feb 202349.3% of 69 movements
Mar 202343.8% of 73 movements
Apr 202349.3% of 75 movements
May 202336.9% of 84 movements
Jun 202344.4% of 90 movements
Jul 202355.4% of 92 movements
Aug 202347.3% of 93 movements
Sep 202350.0% of 90 movements
Oct 202353.3% of 92 movements
Nov 202354.8% of 84 movements
Dec 202347.2% of 89 movements
Jan 202437.5% of 88 movements
Feb 202433.7% of 83 movements
Mar 202413.7% of 73 movements
Apr 202420.7% of 82 movements
May 202418.2% of 88 movements
Jun 20249.2% of 87 movements
Jul 202415.9% of 88 movements
Aug 202417.0% of 88 movements
Sep 202424.4% of 86 movements
Oct 202450.0% of 82 movements
Nov 202416.5% of 85 movements
Dec 20249.1% of 88 movements
Jan 202521.3% of 89 movements
Feb 202525.6% of 78 movements
Mar 202518.4% of 76 movements
Apr 20252.9% of 69 movements
May 20258.6% of 70 movements
Jun 202511.6% of 69 movements
Jul 202516.9% of 71 movements
Aug 202514.1% of 71 movements
Sep 20257.2% of 69 movements
Oct 202510.8% of 65 movements
Nov 202539.6% of 48 movements — small sample, not ranked
Dec 202525.0% of 52 movements
Jan 202645.3% of 53 movements
Feb 202615.9% of 44 movements — small sample, not ranked
Mar 2026100.0% of 39 movements — small sample, not ranked
Apr 202695.0% of 40 movements — small sample, not ranked
May 202631.2% of 32 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 2022Arrivals43.7% of 71 movements37.9% across 612 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Departures75.0% of 72 movements39.9% across 612 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals47.3% of 93 movements45.1% across 905 flightsreturned after 5 months
NATS system failure · Aug 2023Departures60.2% of 93 movements44.4% across 906 flightsreturned after 3 months
Heathrow fire closure · Mar 2025Arrivals18.4% of 76 movements20.1% across 1,014 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures18.7% of 75 movements27.7% across 1,013 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?

October has historically been the hardest month on this route: in a typical October, 41.0% of arrivals were disrupted, measured across 6 Octobers in the archive. June has been the calmest, at 14.1% across 7 Junes.

Even October has ranged from 10.8% to 61.4% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201925.3% of 75 movements7.4% of 68 movements13.2% of 76 movements17.3% of 81 movements7.5% of 80 movements14.1% of 85 movements6.9% of 87 movements15.9% of 88 movements17.9% of 84 movements18.2% of 88 movements7.4% of 81 movements10.7% of 84 movements202027.1% of 85 movements48.1% of 77 movements33.3% of 45 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements3.6% of 28 movements †27.3% of 33 movements †9.1% of 22 movements †suppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements19.0% of 21 movements †48.1% of 27 movements †52.9% of 34 movements †51.2% of 41 movements †26.7% of 45 movements †39.7% of 68 movements202225.5% of 51 movements28.9% of 45 movements †26.3% of 57 movements31.5% of 73 movements53.8% of 78 movements51.4% of 72 movements43.7% of 71 movements28.2% of 71 movements50.0% of 68 movements61.4% of 70 movements23.5% of 68 movements54.8% of 73 movements202344.4% of 72 movements49.3% of 69 movements43.8% of 73 movements49.3% of 75 movements36.9% of 84 movements44.4% of 90 movements55.4% of 92 movements47.3% of 93 movements50.0% of 90 movements53.3% of 92 movements54.8% of 84 movements47.2% of 89 movements202437.5% of 88 movements33.7% of 83 movements13.7% of 73 movements20.7% of 82 movements18.2% of 88 movements9.2% of 87 movements15.9% of 88 movements17.0% of 88 movements24.4% of 86 movements50.0% of 82 movements16.5% of 85 movements9.1% of 88 movements202521.3% of 89 movements25.6% of 78 movements18.4% of 76 movements2.9% of 69 movements8.6% of 70 movements11.6% of 69 movements16.9% of 71 movements14.1% of 71 movements7.2% of 69 movements10.8% of 65 movements39.6% of 48 movements †25.0% of 52 movements202645.3% of 53 movements15.9% of 44 movements †100.0% of 39 movements †95.0% of 40 movements †31.2% of 32 movements †5.1% of 39 movements †no datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan37.5%21.3–45.9%7 months, 502 flights
Feb28.4%7.4–49.3%7 months, 454 flights
Mar26.3%13.2–100.0%7 months, 470 flights
Apr31.5%2.9–95.0%7 months, 493 flights
May18.2%7.5–53.8%7 months, 507 flights
Jun14.1%5.1–51.4%7 months, 515 flights
Jul19.1%6.9–55.4%6 months, 484 flights
Aug21.7%14.1–47.3%6 months, 487 flights
Sep25.9%7.2–50.0%6 months, 470 flights
Oct41.0%10.8–61.4%6 months, 472 flights
Nov31.6%7.4–54.8%6 months, 440 flights
Dec36.1%9.1–54.8%6 months, 461 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: Kuwait Airways, 29.9% of 623 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 optionKuwait Airways29.9% of 623 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
British Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jazeera Airways K.S.C.Psuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Kuwait Airways62329.9% of 623 movements14.0% of 623 movements1.1% of 623 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, MAN had the lowest disruption share at 32.0% of 150 movements and MAN the highest at 32.0% of 150 movements. This route sits at 29.9% of 623 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 optionMan ↔ Kuwait32.0% of 150 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Kuwaitsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Kuwaitsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Kuwaitsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Kuwaitsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Kuwait15032.0% of 150 movements18.7% of 150 movements1.3% of 150 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into LHR ran 29.9% of 623 movements disrupted, departures 36.6% of 623 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 LHR29.9% of 623 movements14.0% of 623 movements1.1% of 623 movements
Departures from LHR36.6% of 623 movements14.0% of 623 movements1.4% of 623 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 202653 flights out of 6,33753 × £520 = £27,560
ArrivalsLast 72 months · Jul 2020–Jun 202629 flights out of 4,26029 × £520 = £15,080
DeparturesWhole archive · Jan 2018–Jun 202637 flights out of 6,34937 × £520 = £19,240
DeparturesLast 72 months · Jul 2020–Jun 202624 flights out of 4,25924 × £520 = £12,480
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 airportHEATHROW · LHR
Final point / countryKUWAIT / KUWAIT
Final point codesKWI / OKKK
Great-circle distance4,675 km
Maximum statutory amount for the band£520
Average operated arrivals per day1.47
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 archive99

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: 623; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

29.9% of 623 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

14.0% of 623 movements in the same window.

How many delays crossed three hours?

1.1% of 623 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?

4,675 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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