UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

SOU ↔ ALDERNEY

In the twelve months from July 2025 to June 2026, 37.2% of 733 movements arriving into SOU were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 62.8% of 733 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 33 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, 37.2% of 733 movements were disrupted and 15.1% of 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
37.2% of 733 movements15.1% of 733 movements57.3–98.2 min; N of delayed flights=162–267733
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: 15.1% of 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 min22.1%30 min16.2%60 min10.6%120 min6.3%180 min3.0%360 min0.4%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min22.1% of 733 movements1624.5
>30 min16.2% of 733 movements1196.2
>60 min10.6% of 733 movements789.4
>120 min6.3% of 733 movements4615.9
>180 min3.0% of 733 movements2233.3
>360 min0.4% of 733 movements3244.3
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 early9412.8%15–1 early26135.6%0–15 late10514.3%16–30435.9%31–60415.6%61…120324.4%121…180243.3%181…360192.6%>36030.4%D=733
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.2619; 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: Sep 2021, 6.7% of 60 movements. Worst month: Apr 2018, 64.2% of 148 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: 34.3%; sample: 672018Feb 2018: 32.8%; sample: 58Mar 2018: 47.1%; sample: 85Apr 2018: 64.2%; sample: 148May 2018: 39.0%; sample: 105Jun 2018: 33.0%; sample: 91Jul 2018: 27.4%; sample: 113Aug 2018: 29.0%; sample: 155Sep 2018: 11.7%; sample: 94Oct 2018: 14.3%; sample: 70Nov 2018: 30.0%; sample: 60Dec 2018: 38.0%; sample: 71Jan 2019: 14.9%; sample: 672019Feb 2019: 28.6%; sample: 56Mar 2019: 18.5%; sample: 65Apr 2019: 7.8%; sample: 77May 2019: 16.9%; sample: 89Jun 2019: 35.2%; sample: 88Jul 2019: 37.1%; sample: 116Aug 2019: 32.7%; sample: 159Sep 2019: 48.4%; sample: 93Oct 2019: 20.0%; sample: 70Nov 2019: 18.0%; sample: 61Dec 2019: 38.8%; sample: 67Jan 2020: 29.6%; sample: 542020Feb 2020: 39.6%; sample: 53Mar 2020: suppressed: fewer than twenty movements×Apr 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: 33.8%; sample: 65Aug 2021: 15.9%; sample: 63Sep 2021: 6.7%; sample: 60Oct 2021: 15.9%; sample: 63Nov 2021: 10.0%; sample: 60Dec 2021: 31.0%; sample: 58Jan 2022: 36.1%; sample: 612022Feb 2022: 50.9%; sample: 55Mar 2022: 24.6%; sample: 61Apr 2022: 28.8%; sample: 59May 2022: 15.9%; sample: 63Jun 2022: 10.0%; sample: 60Jul 2022: 18.6%; sample: 70Aug 2022: 29.0%; sample: 69Sep 2022: 18.0%; sample: 61Oct 2022: 26.6%; sample: 64Nov 2022: 33.3%; sample: 60Dec 2022: 35.6%; sample: 59Jan 2023: 24.6%; sample: 612023Feb 2023: 25.0%; sample: 56Mar 2023: 22.6%; sample: 62Apr 2023: 22.4%; sample: 67May 2023: 18.5%; sample: 65Jun 2023: 33.9%; sample: 62Jul 2023: 23.9%; sample: 71Aug 2023: 25.6%; sample: 82Sep 2023: 20.6%; sample: 63Oct 2023: 27.4%; sample: 62Nov 2023: 35.0%; sample: 60Dec 2023: 41.1%; sample: 56Jan 2024: 20.0%; sample: 452024Feb 2024: 41.1%; sample: 56Mar 2024: 25.8%; sample: 62Apr 2024: 13.3%; sample: 60May 2024: 22.6%; sample: 62Jun 2024: 11.7%; sample: 60Jul 2024: 20.6%; sample: 63Aug 2024: 31.2%; sample: 64Sep 2024: 26.7%; sample: 60Oct 2024: 19.4%; sample: 62Nov 2024: 23.0%; sample: 61Dec 2024: 57.6%; sample: 59Jan 2025: 36.2%; sample: 472025Feb 2025: 22.9%; sample: 48Mar 2025: 19.4%; sample: 62Apr 2025: 16.7%; sample: 60May 2025: 31.7%; sample: 63Jun 2025: 25.0%; sample: 60Jul 2025: 21.5%; sample: 65Aug 2025: 26.9%; sample: 67Sep 2025: 20.0%; sample: 60Oct 2025: 20.6%; sample: 63Nov 2025: 25.0%; sample: 60Dec 2025: 40.6%; sample: 64Jan 2026: 55.1%; sample: 492026Feb 2026: 73.5%; sample: 49Mar 2026: 51.7%; sample: 60Apr 2026: 29.7%; sample: 64May 2026: 45.5%; sample: 66Jun 2026: 48.5%; sample: 66Pandemic 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 201834.3% of 67 movements
Feb 201832.8% of 58 movements
Mar 201847.1% of 85 movements
Apr 201864.2% of 148 movements
May 201839.0% of 105 movements
Jun 201833.0% of 91 movements
Jul 201827.4% of 113 movements
Aug 201829.0% of 155 movements
Sep 201811.7% of 94 movements
Oct 201814.3% of 70 movements
Nov 201830.0% of 60 movements
Dec 201838.0% of 71 movements
Jan 201914.9% of 67 movements
Feb 201928.6% of 56 movements
Mar 201918.5% of 65 movements
Apr 20197.8% of 77 movements
May 201916.9% of 89 movements
Jun 201935.2% of 88 movements
Jul 201937.1% of 116 movements
Aug 201932.7% of 159 movements
Sep 201948.4% of 93 movements
Oct 201920.0% of 70 movements
Nov 201918.0% of 61 movements
Dec 201938.8% of 67 movements
Jan 202029.6% of 54 movements
Feb 202039.6% of 53 movements
Mar 2020suppressed: fewer than twenty 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 202133.8% of 65 movements
Aug 202115.9% of 63 movements
Sep 20216.7% of 60 movements
Oct 202115.9% of 63 movements
Nov 202110.0% of 60 movements
Dec 202131.0% of 58 movements
Jan 202236.1% of 61 movements
Feb 202250.9% of 55 movements
Mar 202224.6% of 61 movements
Apr 202228.8% of 59 movements
May 202215.9% of 63 movements
Jun 202210.0% of 60 movements
Jul 202218.6% of 70 movements
Aug 202229.0% of 69 movements
Sep 202218.0% of 61 movements
Oct 202226.6% of 64 movements
Nov 202233.3% of 60 movements
Dec 202235.6% of 59 movements
Jan 202324.6% of 61 movements
Feb 202325.0% of 56 movements
Mar 202322.6% of 62 movements
Apr 202322.4% of 67 movements
May 202318.5% of 65 movements
Jun 202333.9% of 62 movements
Jul 202323.9% of 71 movements
Aug 202325.6% of 82 movements
Sep 202320.6% of 63 movements
Oct 202327.4% of 62 movements
Nov 202335.0% of 60 movements
Dec 202341.1% of 56 movements
Jan 202420.0% of 45 movements — small sample, not ranked
Feb 202441.1% of 56 movements
Mar 202425.8% of 62 movements
Apr 202413.3% of 60 movements
May 202422.6% of 62 movements
Jun 202411.7% of 60 movements
Jul 202420.6% of 63 movements
Aug 202431.2% of 64 movements
Sep 202426.7% of 60 movements
Oct 202419.4% of 62 movements
Nov 202423.0% of 61 movements
Dec 202457.6% of 59 movements
Jan 202536.2% of 47 movements — small sample, not ranked
Feb 202522.9% of 48 movements — small sample, not ranked
Mar 202519.4% of 62 movements
Apr 202516.7% of 60 movements
May 202531.7% of 63 movements
Jun 202525.0% of 60 movements
Jul 202521.5% of 65 movements
Aug 202526.9% of 67 movements
Sep 202520.0% of 60 movements
Oct 202520.6% of 63 movements
Nov 202525.0% of 60 movements
Dec 202540.6% of 64 movements
Jan 202655.1% of 49 movements — small sample, not ranked
Feb 202673.5% of 49 movements — small sample, not ranked
Mar 202651.7% of 60 movements
Apr 202629.7% of 64 movements
May 202645.5% of 66 movements
Jun 202648.5% of 66 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 2022Arrivals18.6% of 70 movements23.3% across 728 flightsreturned after 2 months
Summer 2022 breakdown · Jul 2022Departures22.9% of 70 movements23.9% across 732 flightsreturned after 2 months
NATS system failure · Aug 2023Arrivals25.6% of 82 movements26.1% across 757 flightsreturned the next month
NATS system failure · Aug 2023Departures22.8% of 79 movements24.3% across 758 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals19.4% of 62 movements25.9% across 708 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures17.7% of 62 movements25.2% across 709 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, 39.7% of arrivals were disrupted, measured across 6 Decembers in the archive. September has been the calmest, at 20.3% across 6 Septembers.

Even December has ranged from 35.6% to 57.6% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201914.9% of 67 movements28.6% of 56 movements18.5% of 65 movements7.8% of 77 movements16.9% of 89 movements35.2% of 88 movements37.1% of 116 movements32.7% of 159 movements48.4% of 93 movements20.0% of 70 movements18.0% of 61 movements38.8% of 67 movements202029.6% of 54 movements39.6% of 53 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 movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno datano datano data33.8% of 65 movements15.9% of 63 movements6.7% of 60 movements15.9% of 63 movements10.0% of 60 movements31.0% of 58 movements202236.1% of 61 movements50.9% of 55 movements24.6% of 61 movements28.8% of 59 movements15.9% of 63 movements10.0% of 60 movements18.6% of 70 movements29.0% of 69 movements18.0% of 61 movements26.6% of 64 movements33.3% of 60 movements35.6% of 59 movements202324.6% of 61 movements25.0% of 56 movements22.6% of 62 movements22.4% of 67 movements18.5% of 65 movements33.9% of 62 movements23.9% of 71 movements25.6% of 82 movements20.6% of 63 movements27.4% of 62 movements35.0% of 60 movements41.1% of 56 movements202420.0% of 45 movements †41.1% of 56 movements25.8% of 62 movements13.3% of 60 movements22.6% of 62 movements11.7% of 60 movements20.6% of 63 movements31.2% of 64 movements26.7% of 60 movements19.4% of 62 movements23.0% of 61 movements57.6% of 59 movements202536.2% of 47 movements †22.9% of 48 movements †19.4% of 62 movements16.7% of 60 movements31.7% of 63 movements25.0% of 60 movements21.5% of 65 movements26.9% of 67 movements20.0% of 60 movements20.6% of 63 movements25.0% of 60 movements40.6% of 64 movements202655.1% of 49 movements †73.5% of 49 movements †51.7% of 60 movements29.7% of 64 movements45.5% of 66 movements48.5% of 66 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan34.3%14.9–55.1%7 months, 397 flights
Feb32.8%22.9–73.5%7 months, 378 flights
Mar24.6%18.5–51.7%7 months, 457 flights
Apr22.4%7.8–64.2%7 months, 535 flights
May22.6%15.9–45.5%7 months, 513 flights
Jun33.0%10.0–48.5%7 months, 487 flights
Jul22.7%18.6–37.1%6 months, 498 flights
Aug29.0%25.6–32.7%6 months, 596 flights
Sep20.3%11.7–48.4%6 months, 431 flights
Oct20.3%14.3–27.4%6 months, 391 flights
Nov27.5%18.0–35.0%6 months, 362 flights
Dec39.7%35.6–57.6%6 months, 376 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: Aurigny Air Services 36.3% of 443 movements, Isles Of Scilly Skybus 38.6% of 290 movements. The gap between them sits inside sampling noise.

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 optionAurigny Air Services36.3% of 443 flightsIsles Of Scilly Skybus38.6% of 290 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Aurigny Air Services44336.3% of 443 movements17.2% of 443 movements4.3% of 443 movementsdescriptive comparison
Isles Of Scilly Skybus29038.6% of 290 movements12.1% of 290 movements1.0% of 290 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, JER had the lowest disruption share at 22.2% of 27 movements — small sample, not ranked and JER the highest at 22.2% of 27 movements — small sample, not ranked. This route sits at 37.2% 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 optionJer ↔ Alderney †22.2% of 27 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Boh ↔ Alderneysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jer ↔ Alderney2722.2% of 27 movements — small sample, not ranked3.7% of 27 movements — small sample, not rankedno events in 27 movements — small sample, not rankedsmall sample; not ranked

Does the direction you are flying change anything?

Barely: arrivals into SOU ran 37.2% of 733 movements disrupted, departures 36.0% of 733 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 SOU37.2% of 733 movements15.1% of 733 movements3.0% of 733 movements
Departures from SOU36.0% of 733 movements15.6% of 733 movements2.5% of 733 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 2026144 flights out of 5,897144 × £220 = £31,680
ArrivalsLast 72 months · Jul 2020–Jun 202697 flights out of 3,66597 × £220 = £21,340
DeparturesWhole archive · Jan 2018–Jun 2026156 flights out of 5,916156 × £220 = £34,320
DeparturesLast 72 months · Jul 2020–Jun 202698 flights out of 3,66898 × £220 = £21,560
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 airportSOUTHAMPTON · SOU
Final point / countryALDERNEY / UNITED KINGDOM
Final point codesACI / EGJA
Great-circle distance151 km
Maximum statutory amount for the band£220
Average operated arrivals per day1.70
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 archive86

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?

37.2% 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?

15.1% of 733 movements in the same window.

How many delays crossed three hours?

3.0% of 733 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?

151 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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