UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ BANGKOK SUVARNABHUMI

In the twelve months from July 2025 to June 2026, 16.5% of 733 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, 83.5% of 733 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 733 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, 16.5% of 733 movements were disrupted and no events in 733 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
16.5% of 733 movementsno events in 733 movements15.1–50.7 min; N of delayed flights=121–358733
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 733 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 min16.5%30 min5.0%60 min1.9%120 min0.5%180 min0.1%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min16.5% of 733 movements1216.1
>30 min5.0% of 733 movements3719.8
>60 min1.9% of 733 movements1452.4
>120 min0.5% of 733 movements4183.2
>180 min0.1% of 733 movements1733.0
>360 minno events in 733 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?

When this route runs late, it is usually only a little late: big blow-ups are rarer here 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 early618.3%15–1 early31442.8%0–15 late23732.3%16–308411.5%31–60233.1%61…120101.4%121…18030.4%181…36010.1%>36000.0%D=733
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0093; corpus median 0.0217; 2056 routes in the corpus. The shape is compared conditionally among delays; the class name does not measure absolute frequency. Histogram counts and shares cover all recorded operations including unmatched records; reconstructed uniquely.

Has this route got better or worse since 2018?

Best month: Aug 2025, 3.2% of 62 movements. Worst month: Apr 2019, 96.7% of 90 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: 34.4%; sample: 932018Feb 2018: 27.4%; sample: 84Mar 2018: 32.3%; sample: 93Apr 2018: 50.0%; sample: 90May 2018: 23.0%; sample: 87Jun 2018: 15.5%; sample: 84Jul 2018: 7.5%; sample: 93Aug 2018: 8.6%; sample: 93Sep 2018: 20.0%; sample: 90Oct 2018: 49.5%; sample: 93Nov 2018: 18.9%; sample: 90Dec 2018: 14.0%; sample: 93Jan 2019: 20.4%; sample: 932019Feb 2019: 33.3%; sample: 84Mar 2019: 86.2%; sample: 94Apr 2019: 96.7%; sample: 90May 2019: 61.3%; sample: 93Jun 2019: 51.1%; sample: 90Jul 2019: 25.8%; sample: 93Aug 2019: 22.6%; sample: 93Sep 2019: 21.6%; sample: 88Oct 2019: 37.2%; sample: 94Nov 2019: 26.7%; sample: 90Dec 2019: 30.1%; sample: 93Jan 2020: 28.0%; sample: 932020Feb 2020: 32.2%; sample: 87Mar 2020: 6.8%; sample: 88Apr 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: suppressed: fewer than twenty movements×Oct 2020: suppressed: fewer than twenty movements×Nov 2020: suppressed: fewer than twenty movements×Dec 2020: suppressed: fewer than twenty movements×Jan 2021: suppressed: fewer than twenty movements×2021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: suppressed: fewer than twenty movements×May 2021: suppressed: fewer than twenty movements×Jun 2021: suppressed: fewer than twenty movements×Jul 2021: suppressed: fewer than twenty movements×Aug 2021: suppressed: fewer than twenty movements×Sep 2021: suppressed: fewer than twenty movements×Oct 2021: suppressed: fewer than twenty movements×Nov 2021: 13.3%; sample: 30Dec 2021: 48.4%; sample: 31Jan 2022: 46.7%; sample: 302022Feb 2022: 58.3%; sample: 24Mar 2022: 26.8%; sample: 41Apr 2022: 53.5%; sample: 43May 2022: 52.2%; sample: 46Jun 2022: 26.7%; sample: 60Jul 2022: 21.0%; sample: 62Aug 2022: 9.7%; sample: 62Sep 2022: 33.3%; sample: 60Oct 2022: 64.5%; sample: 62Nov 2022: 25.0%; sample: 60Dec 2022: 45.2%; sample: 62Jan 2023: 53.2%; sample: 622023Feb 2023: 57.1%; sample: 56Mar 2023: 37.1%; sample: 62Apr 2023: 75.0%; sample: 60May 2023: 62.9%; sample: 62Jun 2023: 26.7%; sample: 60Jul 2023: 33.9%; sample: 62Aug 2023: 22.6%; sample: 62Sep 2023: 26.7%; sample: 60Oct 2023: 80.6%; sample: 62Nov 2023: 58.3%; sample: 60Dec 2023: 69.4%; sample: 62Jan 2024: 74.2%; sample: 622024Feb 2024: 65.5%; sample: 58Mar 2024: 45.2%; sample: 62Apr 2024: 95.0%; sample: 60May 2024: 87.1%; sample: 62Jun 2024: 51.7%; sample: 60Jul 2024: 41.9%; sample: 62Aug 2024: 54.8%; sample: 62Sep 2024: 36.7%; sample: 60Oct 2024: 48.4%; sample: 62Nov 2024: 31.7%; sample: 60Dec 2024: 16.1%; sample: 62Jan 2025: 19.4%; sample: 622025Feb 2025: 19.6%; sample: 56Mar 2025: 17.7%; sample: 62Apr 2025: 50.8%; sample: 61May 2025: 56.5%; sample: 62Jun 2025: 36.7%; sample: 60Jul 2025: 11.3%; sample: 62Aug 2025: 3.2%; sample: 62Sep 2025: 18.3%; sample: 60Oct 2025: 21.0%; sample: 62Nov 2025: 5.0%; sample: 60Dec 2025: 4.8%; sample: 62Jan 2026: 19.4%; sample: 622026Feb 2026: 19.6%; sample: 56Mar 2026: 12.3%; sample: 65Apr 2026: 46.7%; sample: 60May 2026: 8.1%; sample: 62Jun 2026: 30.0%; sample: 60Pandemic 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 201834.4% of 93 movements
Feb 201827.4% of 84 movements
Mar 201832.3% of 93 movements
Apr 201850.0% of 90 movements
May 201823.0% of 87 movements
Jun 201815.5% of 84 movements
Jul 20187.5% of 93 movements
Aug 20188.6% of 93 movements
Sep 201820.0% of 90 movements
Oct 201849.5% of 93 movements
Nov 201818.9% of 90 movements
Dec 201814.0% of 93 movements
Jan 201920.4% of 93 movements
Feb 201933.3% of 84 movements
Mar 201986.2% of 94 movements
Apr 201996.7% of 90 movements
May 201961.3% of 93 movements
Jun 201951.1% of 90 movements
Jul 201925.8% of 93 movements
Aug 201922.6% of 93 movements
Sep 201921.6% of 88 movements
Oct 201937.2% of 94 movements
Nov 201926.7% of 90 movements
Dec 201930.1% of 93 movements
Jan 202028.0% of 93 movements
Feb 202032.2% of 87 movements
Mar 20206.8% of 88 movements
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 2020suppressed: fewer than twenty movements
Oct 2020suppressed: fewer than twenty movements
Nov 2020suppressed: fewer than twenty movements
Dec 2020suppressed: fewer than twenty movements
Jan 2021suppressed: fewer than twenty movements
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 2021suppressed: fewer than twenty movements
May 2021suppressed: fewer than twenty movements
Jun 2021suppressed: fewer than twenty movements
Jul 2021suppressed: fewer than twenty movements
Aug 2021suppressed: fewer than twenty movements
Sep 2021suppressed: fewer than twenty movements
Oct 2021suppressed: fewer than twenty movements
Nov 202113.3% of 30 movements — small sample, not ranked
Dec 202148.4% of 31 movements — small sample, not ranked
Jan 202246.7% of 30 movements — small sample, not ranked
Feb 202258.3% of 24 movements — small sample, not ranked
Mar 202226.8% of 41 movements — small sample, not ranked
Apr 202253.5% of 43 movements — small sample, not ranked
May 202252.2% of 46 movements — small sample, not ranked
Jun 202226.7% of 60 movements
Jul 202221.0% of 62 movements
Aug 20229.7% of 62 movements
Sep 202233.3% of 60 movements
Oct 202264.5% of 62 movements
Nov 202225.0% of 60 movements
Dec 202245.2% of 62 movements
Jan 202353.2% of 62 movements
Feb 202357.1% of 56 movements
Mar 202337.1% of 62 movements
Apr 202375.0% of 60 movements
May 202362.9% of 62 movements
Jun 202326.7% of 60 movements
Jul 202333.9% of 62 movements
Aug 202322.6% of 62 movements
Sep 202326.7% of 60 movements
Oct 202380.6% of 62 movements
Nov 202358.3% of 60 movements
Dec 202369.4% of 62 movements
Jan 202474.2% of 62 movements
Feb 202465.5% of 58 movements
Mar 202445.2% of 62 movements
Apr 202495.0% of 60 movements
May 202487.1% of 62 movements
Jun 202451.7% of 60 movements
Jul 202441.9% of 62 movements
Aug 202454.8% of 62 movements
Sep 202436.7% of 60 movements
Oct 202448.4% of 62 movements
Nov 202431.7% of 60 movements
Dec 202416.1% of 62 movements
Jan 202519.4% of 62 movements
Feb 202519.6% of 56 movements
Mar 202517.7% of 62 movements
Apr 202550.8% of 61 movements
May 202556.5% of 62 movements
Jun 202536.7% of 60 movements
Jul 202511.3% of 62 movements
Aug 20253.2% of 62 movements
Sep 202518.3% of 60 movements
Oct 202521.0% of 62 movements
Nov 20255.0% of 60 movements
Dec 20254.8% of 62 movements
Jan 202619.4% of 62 movements
Feb 202619.6% of 56 movements
Mar 202612.3% of 65 movements
Apr 202646.7% of 60 movements
May 20268.1% of 62 movements
Jun 202630.0% of 60 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 2022Arrivals21.0% of 62 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures61.9% of 63 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals22.6% of 62 movements43.6% across 730 flightsreturned the next month
NATS system failure · Aug 2023Departures30.6% of 62 movements32.6% across 734 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals17.7% of 62 movements45.6% across 730 flightsreturned after 3 months
Heathrow fire closure · Mar 2025Departures15.9% of 63 movements27.1% across 732 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?

May has historically been the hardest month on this route: in a typical May, 56.5% of arrivals were disrupted, measured across 7 Mays in the archive. August has been the calmest, at 16.1% across 6 Augusts.

Even May has ranged from 8.1% to 87.1% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201920.4% of 93 movements33.3% of 84 movements86.2% of 94 movements96.7% of 90 movements61.3% of 93 movements51.1% of 90 movements25.8% of 93 movements22.6% of 93 movements21.6% of 88 movements37.2% of 94 movements26.7% of 90 movements30.1% of 93 movements202028.0% of 93 movements32.2% of 87 movements6.8% of 88 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements13.3% of 30 movements †48.4% of 31 movements †202246.7% of 30 movements †58.3% of 24 movements †26.8% of 41 movements †53.5% of 43 movements †52.2% of 46 movements †26.7% of 60 movements21.0% of 62 movements9.7% of 62 movements33.3% of 60 movements64.5% of 62 movements25.0% of 60 movements45.2% of 62 movements202353.2% of 62 movements57.1% of 56 movements37.1% of 62 movements75.0% of 60 movements62.9% of 62 movements26.7% of 60 movements33.9% of 62 movements22.6% of 62 movements26.7% of 60 movements80.6% of 62 movements58.3% of 60 movements69.4% of 62 movements202474.2% of 62 movements65.5% of 58 movements45.2% of 62 movements95.0% of 60 movements87.1% of 62 movements51.7% of 60 movements41.9% of 62 movements54.8% of 62 movements36.7% of 60 movements48.4% of 62 movements31.7% of 60 movements16.1% of 62 movements202519.4% of 62 movements19.6% of 56 movements17.7% of 62 movements50.8% of 61 movements56.5% of 62 movements36.7% of 60 movements11.3% of 62 movements3.2% of 62 movements18.3% of 60 movements21.0% of 62 movements5.0% of 60 movements4.8% of 62 movements202619.4% of 62 movements19.6% of 56 movements12.3% of 65 movements46.7% of 60 movements8.1% of 62 movements30.0% of 60 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan34.4%19.4–74.2%7 months, 464 flights
Feb33.3%19.6–65.5%7 months, 418 flights
Mar32.3%12.3–86.2%7 months, 479 flights
Apr53.5%46.7–96.7%7 months, 464 flights
May56.5%8.1–87.1%7 months, 474 flights
Jun30.0%15.5–51.7%7 months, 474 flights
Jul23.4%7.5–41.9%6 months, 434 flights
Aug16.1%3.2–54.8%6 months, 434 flights
Sep24.1%18.3–36.7%6 months, 418 flights
Oct48.9%21.0–80.6%6 months, 435 flights
Nov25.8%5.0–58.3%6 months, 420 flights
Dec23.1%4.8–69.4%6 months, 434 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: Thai Airways International, 16.4% of 730 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 optionThai Airways International16.4% of 730 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
Eva Airsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Thai Airways International73016.4% of 730 movementsno events in 730 movements0.1% of 730 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, LGW had the lowest disruption share at 32.1% of 274 movements and LGW the highest at 32.1% of 274 movements. This route sits at 16.5% of 733 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 optionLgw ↔ Bangkok-Suvarnabhumi32.1% of 274 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Lgw ↔ Bangkok-Suvarnabhumi27432.1% of 274 movements0.7% of 274 movements1.5% of 274 movementsdescriptive comparison
Lpl ↔ Bangkok-Suvarnabhumisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Bangkok-Suvarnabhumisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

Does the direction you are flying change anything?

Barely: arrivals into LHR ran 16.5% of 733 movements disrupted, departures 15.9% of 734 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 LHR16.5% of 733 movementsno events in 733 movements0.1% of 733 movements
Departures from LHR15.9% of 734 movements0.3% of 734 movementsno events in 734 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 202633 flights out of 5,74333 × £520 = £17,160
ArrivalsLast 72 months · Jul 2020–Jun 20266 flights out of 3,2976 × £520 = £3,120
DeparturesWhole archive · Jan 2018–Jun 202628 flights out of 5,74728 × £520 = £14,560
DeparturesLast 72 months · Jul 2020–Jun 202610 flights out of 3,30610 × £520 = £5,200
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 airportHEATHROW · LHR
Final point / countryBANGKOK SUVARNABHUMI / THAILAND
Final point codesBKK / VTBS
Great-circle distance9,578 km
Maximum statutory amount for the band£520
Average operated arrivals per day2.01
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 archive92

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: 733; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

16.5% of 733 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 733 movements in the same window.

How many delays crossed three hours?

0.1% of 733 movements in the same window; these are observed movements, not a count of claims.

What does the delay distribution look like?

chronically slightly late. The class compares the tail with short delays across routes in the corpus.

What distance is used?

9,578 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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