UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ BEIJING

In the twelve months from July 2025 to June 2026, 28.0% of 721 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, 72.0% of 721 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 360 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, 28.0% of 721 movements were disrupted and no events in 721 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
28.0% of 721 movementsno events in 721 movements23.0–44.5 min; N of delayed flights=202–360721
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 721 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 min28.0%30 min12.6%60 min3.1%120 min0.4%180 min0.3%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min28.0% of 721 movements2023.6
>30 min12.6% of 721 movements917.9
>60 min3.1% of 721 movements2232.8
>120 min0.4% of 721 movements3240.3
>180 min0.3% of 721 movements2360.5
>360 minno events in 721 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 early20428.3%15–1 early15721.8%0–15 late15821.9%16–3011115.4%31–60699.6%61…120192.6%121…18010.1%181…36020.3%>36000.0%D=721
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0111; 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 2024, 6.5% of 62 movements. Worst month: Nov 2025, 71.7% of 60 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: 30.1%; sample: 932018Feb 2018: 9.8%; sample: 82Mar 2018: 50.0%; sample: 90Apr 2018: 68.9%; sample: 90May 2018: 38.7%; sample: 93Jun 2018: 27.0%; sample: 89Jul 2018: 18.0%; sample: 100Aug 2018: 20.6%; sample: 102Sep 2018: 30.0%; sample: 90Oct 2018: 36.8%; sample: 95Nov 2018: 19.4%; sample: 103Dec 2018: 20.4%; sample: 103Jan 2019: 15.2%; sample: 1052019Feb 2019: 20.0%; sample: 90Mar 2019: 30.2%; sample: 106Apr 2019: 53.3%; sample: 120May 2019: 37.5%; sample: 120Jun 2019: 26.3%; sample: 118Jul 2019: 14.5%; sample: 124Aug 2019: 27.4%; sample: 124Sep 2019: 21.2%; sample: 118Oct 2019: 56.5%; sample: 115Nov 2019: 37.0%; sample: 73Dec 2019: 44.0%; sample: 75Jan 2020: 23.9%; sample: 672020Feb 2020: 47.1%; sample: 34Mar 2020: 41.1%; sample: 56Apr 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: no data×May 2021: no data×Jun 2021: no data×Jul 2021: no data×Aug 2021: no data×Sep 2021: no data×Oct 2021: suppressed: fewer than twenty movements×Nov 2021: no data×Dec 2021: no data×Jan 2022: no data×2022Feb 2022: suppressed: fewer than twenty movements×Mar 2022: no data×Apr 2022: no data×May 2022: no data×Jun 2022: no data×Jul 2022: no data×Aug 2022: suppressed: fewer than twenty movements×Sep 2022: suppressed: fewer than twenty movements×Oct 2022: suppressed: fewer than twenty movements×Nov 2022: suppressed: fewer than twenty movements×Dec 2022: suppressed: fewer than twenty movements×Jan 2023: suppressed: fewer than twenty movements×2023Feb 2023: suppressed: fewer than twenty movements×Mar 2023: suppressed: fewer than twenty movements×Apr 2023: suppressed: fewer than twenty movements×May 2023: suppressed: fewer than twenty movements×Jun 2023: 15.4%; sample: 52Jul 2023: 21.0%; sample: 62Aug 2023: 21.0%; sample: 62Sep 2023: 20.0%; sample: 60Oct 2023: 59.0%; sample: 61Nov 2023: 8.7%; sample: 46Dec 2023: 38.7%; sample: 62Jan 2024: 27.4%; sample: 622024Feb 2024: 18.2%; sample: 55Mar 2024: 33.3%; sample: 60Apr 2024: 38.3%; sample: 60May 2024: 6.5%; sample: 62Jun 2024: 16.7%; sample: 60Jul 2024: 14.5%; sample: 62Aug 2024: 17.7%; sample: 62Sep 2024: 28.3%; sample: 60Oct 2024: 12.9%; sample: 62Nov 2024: 20.0%; sample: 60Dec 2024: 25.8%; sample: 62Jan 2025: 42.6%; sample: 612025Feb 2025: 12.7%; sample: 55Mar 2025: 11.7%; sample: 60Apr 2025: 36.7%; sample: 60May 2025: 30.6%; sample: 62Jun 2025: 13.3%; sample: 60Jul 2025: 19.4%; sample: 62Aug 2025: 19.4%; sample: 62Sep 2025: 21.7%; sample: 60Oct 2025: 24.2%; sample: 62Nov 2025: 71.7%; sample: 60Dec 2025: 47.5%; sample: 61Jan 2026: 31.7%; sample: 602026Feb 2026: 24.5%; sample: 53Mar 2026: 25.4%; sample: 59Apr 2026: 25.0%; sample: 60May 2026: 16.1%; sample: 62Jun 2026: 10.0%; 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 201830.1% of 93 movements
Feb 20189.8% of 82 movements
Mar 201850.0% of 90 movements
Apr 201868.9% of 90 movements
May 201838.7% of 93 movements
Jun 201827.0% of 89 movements
Jul 201818.0% of 100 movements
Aug 201820.6% of 102 movements
Sep 201830.0% of 90 movements
Oct 201836.8% of 95 movements
Nov 201819.4% of 103 movements
Dec 201820.4% of 103 movements
Jan 201915.2% of 105 movements
Feb 201920.0% of 90 movements
Mar 201930.2% of 106 movements
Apr 201953.3% of 120 movements
May 201937.5% of 120 movements
Jun 201926.3% of 118 movements
Jul 201914.5% of 124 movements
Aug 201927.4% of 124 movements
Sep 201921.2% of 118 movements
Oct 201956.5% of 115 movements
Nov 201937.0% of 73 movements
Dec 201944.0% of 75 movements
Jan 202023.9% of 67 movements
Feb 202047.1% of 34 movements — small sample, not ranked
Mar 202041.1% of 56 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 2021no data
May 2021no data
Jun 2021no data
Jul 2021no data
Aug 2021no data
Sep 2021no data
Oct 2021suppressed: fewer than twenty movements
Nov 2021no data
Dec 2021no data
Jan 2022no data
Feb 2022suppressed: fewer than twenty movements
Mar 2022no data
Apr 2022no data
May 2022no data
Jun 2022no data
Jul 2022no data
Aug 2022suppressed: fewer than twenty movements
Sep 2022suppressed: fewer than twenty movements
Oct 2022suppressed: fewer than twenty movements
Nov 2022suppressed: fewer than twenty movements
Dec 2022suppressed: fewer than twenty movements
Jan 2023suppressed: fewer than twenty movements
Feb 2023suppressed: fewer than twenty movements
Mar 2023suppressed: fewer than twenty movements
Apr 2023suppressed: fewer than twenty movements
May 2023suppressed: fewer than twenty movements
Jun 202315.4% of 52 movements
Jul 202321.0% of 62 movements
Aug 202321.0% of 62 movements
Sep 202320.0% of 60 movements
Oct 202359.0% of 61 movements
Nov 20238.7% of 46 movements — small sample, not ranked
Dec 202338.7% of 62 movements
Jan 202427.4% of 62 movements
Feb 202418.2% of 55 movements
Mar 202433.3% of 60 movements
Apr 202438.3% of 60 movements
May 20246.5% of 62 movements
Jun 202416.7% of 60 movements
Jul 202414.5% of 62 movements
Aug 202417.7% of 62 movements
Sep 202428.3% of 60 movements
Oct 202412.9% of 62 movements
Nov 202420.0% of 60 movements
Dec 202425.8% of 62 movements
Jan 202542.6% of 61 movements
Feb 202512.7% of 55 movements
Mar 202511.7% of 60 movements
Apr 202536.7% of 60 movements
May 202530.6% of 62 movements
Jun 202513.3% of 60 movements
Jul 202519.4% of 62 movements
Aug 202519.4% of 62 movements
Sep 202521.7% of 60 movements
Oct 202524.2% of 62 movements
Nov 202571.7% of 60 movements
Dec 202547.5% of 61 movements
Jan 202631.7% of 60 movements
Feb 202624.5% of 53 movements
Mar 202625.4% of 59 movements
Apr 202625.0% of 60 movements
May 202616.1% of 62 movements
Jun 202610.0% 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 2022Arrivalsno datano complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departuresno datano complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals21.0% of 62 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Departures16.1% of 62 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Heathrow fire closure · Mar 2025Arrivals11.7% of 60 movements22.5% across 726 flightsreturned after 3 months
Heathrow fire closure · Mar 2025Departures6.7% of 60 movements9.8% across 726 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?

December has historically been the hardest month on this route: in a typical December, 38.7% of arrivals were disrupted, measured across 5 Decembers in the archive. June has been the calmest, at 16.0% across 6 Junes.

Even December has ranged from 20.4% to 47.5% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201915.2% of 105 movements20.0% of 90 movements30.2% of 106 movements53.3% of 120 movements37.5% of 120 movements26.3% of 118 movements14.5% of 124 movements27.4% of 124 movements21.2% of 118 movements56.5% of 115 movements37.0% of 73 movements44.0% of 75 movements202023.9% of 67 movements47.1% of 34 movements †41.1% of 56 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 movementsno datano datano datano datano datano datasuppressed: fewer than twenty movementsno datano data2022no datasuppressed: fewer than twenty movementsno datano datano datano datano datasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements2023suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements15.4% of 52 movements21.0% of 62 movements21.0% of 62 movements20.0% of 60 movements59.0% of 61 movements8.7% of 46 movements †38.7% of 62 movements202427.4% of 62 movements18.2% of 55 movements33.3% of 60 movements38.3% of 60 movements6.5% of 62 movements16.7% of 60 movements14.5% of 62 movements17.7% of 62 movements28.3% of 60 movements12.9% of 62 movements20.0% of 60 movements25.8% of 62 movements202542.6% of 61 movements12.7% of 55 movements11.7% of 60 movements36.7% of 60 movements30.6% of 62 movements13.3% of 60 movements19.4% of 62 movements19.4% of 62 movements21.7% of 60 movements24.2% of 62 movements71.7% of 60 movements47.5% of 61 movements202631.7% of 60 movements24.5% of 53 movements25.4% of 59 movements25.0% of 60 movements16.1% of 62 movements10.0% of 60 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan30.1%15.2–42.6%5 months, 381 flights
Feb18.2%9.8–24.5%5 months, 335 flights
Mar30.2%11.7–50.0%5 months, 375 flights
Apr38.3%25.0–68.9%5 months, 390 flights
May30.6%6.5–38.7%5 months, 399 flights
Jun16.0%10.0–27.0%6 months, 439 flights
Jul18.0%14.5–21.0%5 months, 410 flights
Aug20.6%17.7–27.4%5 months, 412 flights
Sep21.7%20.0–30.0%5 months, 388 flights
Oct36.8%12.9–59.0%5 months, 395 flights
Nov20.0%8.7–71.7%5 months, 342 flights
Dec38.7%20.4–47.5%5 months, 363 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: Air China, 28.0% of 721 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 optionAir China28.0% of 721 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Air China72128.0% of 721 movementsno events in 721 movements0.3% of 721 movementsdescriptive comparison
British Airwayssuppressed: 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, EDI had the lowest disruption share at 20.3% of 133 movements and MAN the highest at 39.6% of 303 movements. This route sits at 28.0% of 721 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 optionEdi ↔ Beijing20.3% of 133 flightsLgw ↔ Beijing26.0% of 258 flightsMan ↔ Beijing39.6% of 303 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bhx ↔ Beijingsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Beijing13320.3% of 133 movements3.0% of 133 movementsno events in 133 movementsdescriptive comparison
Lgw ↔ Beijing25826.0% of 258 movementsno events in 258 movements2.3% of 258 movementsdescriptive comparison
Ltn ↔ Beijingsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Beijing30339.6% of 303 movements2.3% of 303 movementsno events in 303 movementsdescriptive comparison
Stn ↔ Beijingsuppressed: 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 LHR ran 28.0% of 721 movements disrupted, departures 9.8% of 722 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 LHR28.0% of 721 movementsno events in 721 movements0.3% of 721 movements
Departures from LHR9.8% of 722 movements0.1% of 722 movements0.3% of 722 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 202620 flights out of 4,86020 × £520 = £10,400
ArrivalsLast 72 months · Jul 2020–Jun 20265 flights out of 2,2805 × £520 = £2,600
DeparturesWhole archive · Jan 2018–Jun 202628 flights out of 4,86828 × £520 = £14,560
DeparturesLast 72 months · Jul 2020–Jun 20266 flights out of 2,2846 × £520 = £3,120
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 / countryBEIJING / CHINA
Final point codesPEK / ZBAA
Great-circle distance8,154 km
Maximum statutory amount for the band£520
Average operated arrivals per day1.98
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 archive77

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: 721; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

28.0% of 721 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 721 movements in the same window.

How many delays crossed three hours?

0.3% of 721 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?

8,154 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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