UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ SYDNEY

In the twelve months from July 2025 to June 2026, 23.8% of 738 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, 76.2% of 738 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 74 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, 23.8% of 738 movements were disrupted and 1.9% of 738 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
23.8% of 738 movements1.9% of 738 movements36.3–88.4 min; N of delayed flights=162–375738
Definitions, denominators and limits

The bounds account for CAA rounding and the unknown number of zero delays. A point average across all operated movements, including punctual ones, would answer a different question and is not used here.

When it is late, how late is it?

Most delays here are short. The ladder below shows how many arrivals crossed each threshold, from a quarter of an hour up to six hours; each rung can only be smaller than the one above it.

Cancellations are counted separately: 1.9% of 738 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 min22.0%30 min11.1%60 min6.4%120 min1.9%180 min1.4%360 min0.5%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min22.0% of 738 movements1624.6
>30 min11.1% of 738 movements829.0
>60 min6.4% of 738 movements4715.7
>120 min1.9% of 738 movements1452.7
>180 min1.4% of 738 movements1073.8
>360 min0.5% of 738 movements4184.5
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 early17023.0%15–1 early17924.3%0–15 late21328.9%16–308010.8%31–60354.7%61…120334.5%121…18040.5%181…36060.8%>36040.5%D=738
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0870; 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 2023, 7.8% of 64 movements. Worst month: Apr 2019, 91.7% 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: 16.1%; sample: 622018Feb 2018: 12.5%; sample: 56Mar 2018: 19.4%; sample: 62Apr 2018: 43.3%; sample: 60May 2018: 21.0%; sample: 62Jun 2018: 15.0%; sample: 60Jul 2018: 17.7%; sample: 62Aug 2018: 21.0%; sample: 62Sep 2018: 15.0%; sample: 60Oct 2018: 33.9%; sample: 62Nov 2018: 45.0%; sample: 60Dec 2018: 41.9%; sample: 62Jan 2019: 35.5%; sample: 622019Feb 2019: 46.4%; sample: 56Mar 2019: 74.2%; sample: 62Apr 2019: 91.7%; sample: 60May 2019: 68.3%; sample: 63Jun 2019: 53.3%; sample: 60Jul 2019: 33.3%; sample: 63Aug 2019: 34.9%; sample: 63Sep 2019: 46.7%; sample: 60Oct 2019: 41.9%; sample: 62Nov 2019: 38.3%; sample: 60Dec 2019: 37.1%; sample: 62Jan 2020: 56.5%; sample: 622020Feb 2020: 62.1%; sample: 58Mar 2020: 35.6%; sample: 59Apr 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: 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: suppressed: fewer than twenty movements×Dec 2021: 11.5%; sample: 26Jan 2022: 0.0%; sample: 312022Feb 2022: 14.3%; sample: 28Mar 2022: 40.6%; sample: 32Apr 2022: 58.3%; sample: 60May 2022: 32.3%; sample: 62Jun 2022: 31.7%; sample: 60Jul 2022: 46.8%; sample: 62Aug 2022: 45.2%; sample: 62Sep 2022: 56.7%; sample: 60Oct 2022: 73.4%; sample: 64Nov 2022: 58.3%; sample: 60Dec 2022: 81.0%; sample: 63Jan 2023: 58.1%; sample: 622023Feb 2023: 70.2%; sample: 57Mar 2023: 71.4%; sample: 63Apr 2023: 83.3%; sample: 60May 2023: 67.7%; sample: 62Jun 2023: 36.7%; sample: 60Jul 2023: 14.3%; sample: 63Aug 2023: 7.8%; sample: 64Sep 2023: 26.7%; sample: 60Oct 2023: 59.7%; sample: 62Nov 2023: 71.7%; sample: 60Dec 2023: 64.1%; sample: 64Jan 2024: 61.3%; sample: 622024Feb 2024: 60.3%; sample: 58Mar 2024: 44.4%; sample: 63Apr 2024: 55.0%; sample: 60May 2024: 40.3%; sample: 62Jun 2024: 20.0%; sample: 60Jul 2024: 12.9%; sample: 62Aug 2024: 22.6%; sample: 62Sep 2024: 26.7%; sample: 60Oct 2024: 34.4%; sample: 61Nov 2024: 15.0%; sample: 60Dec 2024: 25.8%; sample: 62Jan 2025: 25.8%; sample: 622025Feb 2025: 39.3%; sample: 56Mar 2025: 23.0%; sample: 61Apr 2025: 36.7%; sample: 60May 2025: 49.2%; sample: 63Jun 2025: 33.3%; sample: 60Jul 2025: 18.8%; sample: 64Aug 2025: 16.1%; sample: 62Sep 2025: 13.3%; sample: 60Oct 2025: 40.3%; sample: 62Nov 2025: 20.0%; sample: 60Dec 2025: 21.5%; sample: 65Jan 2026: 24.2%; sample: 622026Feb 2026: 25.0%; sample: 56Mar 2026: 12.5%; sample: 64Apr 2026: 33.3%; sample: 60May 2026: 36.5%; sample: 63Jun 2026: 25.0%; 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 201816.1% of 62 movements
Feb 201812.5% of 56 movements
Mar 201819.4% of 62 movements
Apr 201843.3% of 60 movements
May 201821.0% of 62 movements
Jun 201815.0% of 60 movements
Jul 201817.7% of 62 movements
Aug 201821.0% of 62 movements
Sep 201815.0% of 60 movements
Oct 201833.9% of 62 movements
Nov 201845.0% of 60 movements
Dec 201841.9% of 62 movements
Jan 201935.5% of 62 movements
Feb 201946.4% of 56 movements
Mar 201974.2% of 62 movements
Apr 201991.7% of 60 movements
May 201968.3% of 63 movements
Jun 201953.3% of 60 movements
Jul 201933.3% of 63 movements
Aug 201934.9% of 63 movements
Sep 201946.7% of 60 movements
Oct 201941.9% of 62 movements
Nov 201938.3% of 60 movements
Dec 201937.1% of 62 movements
Jan 202056.5% of 62 movements
Feb 202062.1% of 58 movements
Mar 202035.6% of 59 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 2021no data
Jun 2021no data
Jul 2021no data
Aug 2021no data
Sep 2021no data
Oct 2021suppressed: fewer than twenty movements
Nov 2021suppressed: fewer than twenty movements
Dec 202111.5% of 26 movements — small sample, not ranked
Jan 2022no events in 31 movements — small sample, not ranked
Feb 202214.3% of 28 movements — small sample, not ranked
Mar 202240.6% of 32 movements — small sample, not ranked
Apr 202258.3% of 60 movements
May 202232.3% of 62 movements
Jun 202231.7% of 60 movements
Jul 202246.8% of 62 movements
Aug 202245.2% of 62 movements
Sep 202256.7% of 60 movements
Oct 202273.4% of 64 movements
Nov 202258.3% of 60 movements
Dec 202281.0% of 63 movements
Jan 202358.1% of 62 movements
Feb 202370.2% of 57 movements
Mar 202371.4% of 63 movements
Apr 202383.3% of 60 movements
May 202367.7% of 62 movements
Jun 202336.7% of 60 movements
Jul 202314.3% of 63 movements
Aug 20237.8% of 64 movements
Sep 202326.7% of 60 movements
Oct 202359.7% of 62 movements
Nov 202371.7% of 60 movements
Dec 202364.1% of 64 movements
Jan 202461.3% of 62 movements
Feb 202460.3% of 58 movements
Mar 202444.4% of 63 movements
Apr 202455.0% of 60 movements
May 202440.3% of 62 movements
Jun 202420.0% of 60 movements
Jul 202412.9% of 62 movements
Aug 202422.6% of 62 movements
Sep 202426.7% of 60 movements
Oct 202434.4% of 61 movements
Nov 202415.0% of 60 movements
Dec 202425.8% of 62 movements
Jan 202525.8% of 62 movements
Feb 202539.3% of 56 movements
Mar 202523.0% of 61 movements
Apr 202536.7% of 60 movements
May 202549.2% of 63 movements
Jun 202533.3% of 60 movements
Jul 202518.8% of 64 movements
Aug 202516.1% of 62 movements
Sep 202513.3% of 60 movements
Oct 202540.3% of 62 movements
Nov 202520.0% of 60 movements
Dec 202521.5% of 65 movements
Jan 202624.2% of 62 movements
Feb 202625.0% of 56 movements
Mar 202612.5% of 64 movements
Apr 202633.3% of 60 movements
May 202636.5% of 63 movements
Jun 202625.0% 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 2022Arrivals46.8% of 62 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures84.1% of 63 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals7.8% of 64 movements59.7% across 736 flightsreturned the next month
NATS system failure · Aug 2023Departures40.6% of 64 movements50.2% across 732 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals23.0% of 61 movements30.2% across 730 flightsreturned after 4 months
Heathrow fire closure · Mar 2025Departures17.5% of 63 movements36.1% across 731 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?

April has historically been the hardest month on this route: in a typical April, 55.0% of arrivals were disrupted, measured across 7 Aprils in the archive. July has been the calmest, at 18.2% across 6 Julys.

Even April has ranged from 33.3% to 91.7% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201935.5% of 62 movements46.4% of 56 movements74.2% of 62 movements91.7% of 60 movements68.3% of 63 movements53.3% of 60 movements33.3% of 63 movements34.9% of 63 movements46.7% of 60 movements41.9% of 62 movements38.3% of 60 movements37.1% of 62 movements202056.5% of 62 movements62.1% of 58 movements35.6% of 59 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 movementsno datano datano datano datano datasuppressed: fewer than twenty movementssuppressed: fewer than twenty movements11.5% of 26 movements †2022no events in 31 movements †14.3% of 28 movements †40.6% of 32 movements †58.3% of 60 movements32.3% of 62 movements31.7% of 60 movements46.8% of 62 movements45.2% of 62 movements56.7% of 60 movements73.4% of 64 movements58.3% of 60 movements81.0% of 63 movements202358.1% of 62 movements70.2% of 57 movements71.4% of 63 movements83.3% of 60 movements67.7% of 62 movements36.7% of 60 movements14.3% of 63 movements7.8% of 64 movements26.7% of 60 movements59.7% of 62 movements71.7% of 60 movements64.1% of 64 movements202461.3% of 62 movements60.3% of 58 movements44.4% of 63 movements55.0% of 60 movements40.3% of 62 movements20.0% of 60 movements12.9% of 62 movements22.6% of 62 movements26.7% of 60 movements34.4% of 61 movements15.0% of 60 movements25.8% of 62 movements202525.8% of 62 movements39.3% of 56 movements23.0% of 61 movements36.7% of 60 movements49.2% of 63 movements33.3% of 60 movements18.8% of 64 movements16.1% of 62 movements13.3% of 60 movements40.3% of 62 movements20.0% of 60 movements21.5% of 65 movements202624.2% of 62 movements25.0% of 56 movements12.5% of 64 movements33.3% of 60 movements36.5% of 63 movements25.0% of 60 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan25.8%0.0–61.3%7 months, 403 flights
Feb39.3%12.5–70.2%7 months, 367 flights
Mar40.6%12.5–74.2%7 months, 407 flights
Apr55.0%33.3–91.7%7 months, 420 flights
May40.3%21.0–68.3%7 months, 437 flights
Jun31.7%15.0–53.3%7 months, 420 flights
Jul18.2%12.9–46.8%6 months, 376 flights
Aug21.8%7.8–45.2%6 months, 375 flights
Sep26.7%13.3–56.7%6 months, 360 flights
Oct41.1%33.9–73.4%6 months, 373 flights
Nov41.7%15.0–71.7%6 months, 360 flights
Dec39.5%21.5–81.0%6 months, 378 flights
Definitions, denominators and limits

The matrix shows the last eight calendar years, including an incomplete final year; the start of the archive is kept in the history above. Seasonal summaries use the whole available archive, excluding the pandemic regime 2020–2021; this is an observed range, not a forecast. Zero events, missing data and suppressed cells are marked separately. † marks a small sample, described but not ranked. For ranges the colour follows the upper bound.

Which airline has the better record here?

On the published record there is no clear winner: British Airways 10.7% of 366 movements, Qantas 36.8% of 372 movements. Observed shares differ; the mix of operations is not matched, so no causal conclusion follows.

Figures cover arrivals, July 2025 to June 2026; lower is better in every column. Carriers with fewer than twenty published flights are suppressed rather than shown as zero. The page makes no ranking: the operations behind these shares are not matched for aircraft, time of day or season.

Observed disruption share by optionBritish Airways10.7% of 366 flightsQantas36.8% of 372 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
British Airways36610.7% of 366 movements2.5% of 366 movements1.1% of 366 movementsdescriptive comparison
Qantas37236.8% of 372 movements1.3% of 372 movements1.6% of 372 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?

No other UK airport published enough flights to this city in this window.

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.

Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Lgw ↔ Sydneysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ Sydneysuppressed: 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 23.8% of 738 movements disrupted, departures 24.5% of 735 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 LHR23.8% of 738 movements1.9% of 738 movements1.4% of 738 movements
Departures from LHR24.5% of 735 movements1.0% of 735 movementsno events in 735 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 2026158 flights out of 4,914158 × £520 = £82,160
ArrivalsLast 72 months · Jul 2020–Jun 2026117 flights out of 3,262117 × £520 = £60,840
DeparturesWhole archive · Jan 2018–Jun 202658 flights out of 4,90258 × £520 = £30,160
DeparturesLast 72 months · Jul 2020–Jun 202645 flights out of 3,25645 × £520 = £23,400
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 / countrySYDNEY / AUSTRALIA
Final point codesSYD / YSSY
Great-circle distance17,021 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 archive88

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: 738; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

23.8% of 738 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

1.9% of 738 movements in the same window.

How many delays crossed three hours?

1.4% of 738 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?

17,021 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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