UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

GLA ↔ BARRA

In the twelve months from July 2025 to June 2026, 31.0% of 691 movements arriving into GLA were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 69.0% of 691 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 691 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, 31.0% of 691 movements were disrupted and 14.2% of 691 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
31.0% of 691 movements14.2% of 691 movements23.0–64.8 min; N of delayed flights=116–301691
Definitions, denominators and limits

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

When it is late, how late is it?

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

Cancellations are counted separately: 14.2% of 691 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 min16.8%30 min11.0%60 min4.9%120 min1.3%180 min0.1%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min16.8% of 691 movements1166.0
>30 min11.0% of 691 movements769.1
>60 min4.9% of 691 movements3420.3
>120 min1.3% of 691 movements976.8
>180 min0.1% of 691 movements1691.0
>360 minno events in 691 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 early466.7%15–1 early24635.6%0–15 late18526.8%16–30405.8%31–60426.1%61…120253.6%121…18081.2%181…36010.1%>36000.0%D=691
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0122; 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: Jun 2025, 12.9% of 62 movements. Worst month: Feb 2020, 58.0% of 50 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: 25.9%; sample: 542018Feb 2018: 44.2%; sample: 52Mar 2018: 30.0%; sample: 60Apr 2018: 37.5%; sample: 56May 2018: 30.4%; sample: 69Jun 2018: 25.4%; sample: 71Jul 2018: 39.1%; sample: 69Aug 2018: 36.7%; sample: 60Sep 2018: 33.3%; sample: 60Oct 2018: 37.9%; sample: 58Nov 2018: 27.5%; sample: 51Dec 2018: 45.8%; sample: 48Jan 2019: 34.0%; sample: 502019Feb 2019: 18.4%; sample: 49Mar 2019: 30.5%; sample: 59Apr 2019: 37.1%; sample: 62May 2019: 29.0%; sample: 69Jun 2019: 33.3%; sample: 60Jul 2019: 39.7%; sample: 63Aug 2019: 23.5%; sample: 68Sep 2019: 26.3%; sample: 57Oct 2019: 19.0%; sample: 58Nov 2019: 26.5%; sample: 49Dec 2019: 33.3%; sample: 45Jan 2020: 38.5%; sample: 522020Feb 2020: 58.0%; sample: 50Mar 2020: suppressed: fewer than twenty movements×Apr 2020: 15.0%; sample: 20May 2020: 39.1%; sample: 23Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 13.3%; sample: 30Aug 2020: 21.9%; sample: 64Sep 2020: 29.8%; sample: 57Oct 2020: 26.4%; sample: 53Nov 2020: 34.3%; sample: 35Dec 2020: 22.6%; sample: 31Jan 2021: 36.7%; sample: 302021Feb 2021: 51.7%; sample: 29Mar 2021: 30.0%; sample: 30Apr 2021: 32.5%; sample: 40May 2021: 18.0%; sample: 61Jun 2021: 29.9%; sample: 67Jul 2021: 20.8%; sample: 72Aug 2021: 16.2%; sample: 68Sep 2021: 30.6%; sample: 62Oct 2021: 40.0%; sample: 60Nov 2021: 44.2%; sample: 52Dec 2021: 48.0%; sample: 50Jan 2022: 42.0%; sample: 502022Feb 2022: 42.9%; sample: 49Mar 2022: 44.8%; sample: 58Apr 2022: 40.0%; sample: 60May 2022: 37.5%; sample: 64Jun 2022: 43.5%; sample: 69Jul 2022: 32.4%; sample: 74Aug 2022: 20.8%; sample: 72Sep 2022: 23.4%; sample: 64Oct 2022: 27.1%; sample: 59Nov 2022: 47.2%; sample: 53Dec 2022: 50.0%; sample: 48Jan 2023: 53.1%; sample: 492023Feb 2023: 19.5%; sample: 41Mar 2023: 33.3%; sample: 57Apr 2023: 25.9%; sample: 58May 2023: 28.4%; sample: 67Jun 2023: 22.2%; sample: 63Jul 2023: 20.9%; sample: 67Aug 2023: 23.1%; sample: 65Sep 2023: 22.8%; sample: 57Oct 2023: 42.1%; sample: 57Nov 2023: 49.1%; sample: 53Dec 2023: 50.0%; sample: 46Jan 2024: 40.9%; sample: 442024Feb 2024: 50.0%; sample: 46Mar 2024: 20.0%; sample: 55Apr 2024: 31.6%; sample: 57May 2024: 21.3%; sample: 61Jun 2024: 24.6%; sample: 65Jul 2024: 25.4%; sample: 67Aug 2024: 27.1%; sample: 70Sep 2024: 21.3%; sample: 61Oct 2024: 46.9%; sample: 64Nov 2024: 34.0%; sample: 53Dec 2024: 41.2%; sample: 51Jan 2025: 51.1%; sample: 472025Feb 2025: 31.1%; sample: 45Mar 2025: 20.3%; sample: 59Apr 2025: 14.0%; sample: 57May 2025: 17.2%; sample: 64Jun 2025: 12.9%; sample: 62Jul 2025: 36.6%; sample: 71Aug 2025: 26.9%; sample: 67Sep 2025: 30.5%; sample: 59Oct 2025: 39.0%; sample: 59Nov 2025: 30.8%; sample: 52Dec 2025: 43.4%; sample: 53Jan 2026: 27.1%; sample: 482026Feb 2026: 42.9%; sample: 49Mar 2026: 23.2%; sample: 56Apr 2026: 33.3%; sample: 57May 2026: 20.0%; sample: 60Jun 2026: 20.0%; 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 201825.9% of 54 movements
Feb 201844.2% of 52 movements
Mar 201830.0% of 60 movements
Apr 201837.5% of 56 movements
May 201830.4% of 69 movements
Jun 201825.4% of 71 movements
Jul 201839.1% of 69 movements
Aug 201836.7% of 60 movements
Sep 201833.3% of 60 movements
Oct 201837.9% of 58 movements
Nov 201827.5% of 51 movements
Dec 201845.8% of 48 movements — small sample, not ranked
Jan 201934.0% of 50 movements
Feb 201918.4% of 49 movements — small sample, not ranked
Mar 201930.5% of 59 movements
Apr 201937.1% of 62 movements
May 201929.0% of 69 movements
Jun 201933.3% of 60 movements
Jul 201939.7% of 63 movements
Aug 201923.5% of 68 movements
Sep 201926.3% of 57 movements
Oct 201919.0% of 58 movements
Nov 201926.5% of 49 movements — small sample, not ranked
Dec 201933.3% of 45 movements — small sample, not ranked
Jan 202038.5% of 52 movements
Feb 202058.0% of 50 movements
Mar 2020suppressed: fewer than twenty movements
Apr 202015.0% of 20 movements — small sample, not ranked
May 202039.1% of 23 movements — small sample, not ranked
Jun 2020suppressed: fewer than twenty movements
Jul 202013.3% of 30 movements — small sample, not ranked
Aug 202021.9% of 64 movements
Sep 202029.8% of 57 movements
Oct 202026.4% of 53 movements
Nov 202034.3% of 35 movements — small sample, not ranked
Dec 202022.6% of 31 movements — small sample, not ranked
Jan 202136.7% of 30 movements — small sample, not ranked
Feb 202151.7% of 29 movements — small sample, not ranked
Mar 202130.0% of 30 movements — small sample, not ranked
Apr 202132.5% of 40 movements — small sample, not ranked
May 202118.0% of 61 movements
Jun 202129.9% of 67 movements
Jul 202120.8% of 72 movements
Aug 202116.2% of 68 movements
Sep 202130.6% of 62 movements
Oct 202140.0% of 60 movements
Nov 202144.2% of 52 movements
Dec 202148.0% of 50 movements
Jan 202242.0% of 50 movements
Feb 202242.9% of 49 movements — small sample, not ranked
Mar 202244.8% of 58 movements
Apr 202240.0% of 60 movements
May 202237.5% of 64 movements
Jun 202243.5% of 69 movements
Jul 202232.4% of 74 movements
Aug 202220.8% of 72 movements
Sep 202223.4% of 64 movements
Oct 202227.1% of 59 movements
Nov 202247.2% of 53 movements
Dec 202250.0% of 48 movements — small sample, not ranked
Jan 202353.1% of 49 movements — small sample, not ranked
Feb 202319.5% of 41 movements — small sample, not ranked
Mar 202333.3% of 57 movements
Apr 202325.9% of 58 movements
May 202328.4% of 67 movements
Jun 202322.2% of 63 movements
Jul 202320.9% of 67 movements
Aug 202323.1% of 65 movements
Sep 202322.8% of 57 movements
Oct 202342.1% of 57 movements
Nov 202349.1% of 53 movements
Dec 202350.0% of 46 movements — small sample, not ranked
Jan 202440.9% of 44 movements — small sample, not ranked
Feb 202450.0% of 46 movements — small sample, not ranked
Mar 202420.0% of 55 movements
Apr 202431.6% of 57 movements
May 202421.3% of 61 movements
Jun 202424.6% of 65 movements
Jul 202425.4% of 67 movements
Aug 202427.1% of 70 movements
Sep 202421.3% of 61 movements
Oct 202446.9% of 64 movements
Nov 202434.0% of 53 movements
Dec 202441.2% of 51 movements
Jan 202551.1% of 47 movements — small sample, not ranked
Feb 202531.1% of 45 movements — small sample, not ranked
Mar 202520.3% of 59 movements
Apr 202514.0% of 57 movements
May 202517.2% of 64 movements
Jun 202512.9% of 62 movements
Jul 202536.6% of 71 movements
Aug 202526.9% of 67 movements
Sep 202530.5% of 59 movements
Oct 202539.0% of 59 movements
Nov 202530.8% of 52 movements
Dec 202543.4% of 53 movements
Jan 202627.1% of 48 movements — small sample, not ranked
Feb 202642.9% of 49 movements — small sample, not ranked
Mar 202623.2% of 56 movements
Apr 202633.3% of 57 movements
May 202620.0% of 60 movements
Jun 202620.0% 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 2020Departures3.7% of 27 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals32.4% of 74 movements37.5% across 714 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Departures35.1% of 74 movements39.5% across 722 flightsreturned the next month
NATS system failure · Aug 2023Arrivals23.1% of 65 movements31.0% across 698 flightsreturned the next month
NATS system failure · Aug 2023Departures30.9% of 68 movements33.6% across 700 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals20.3% of 59 movements31.3% across 696 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures27.3% of 55 movements31.1% across 690 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, 44.6% of arrivals were disrupted, measured across 6 Decembers in the archive. June has been the calmest, at 24.6% across 7 Junes.

Even December has ranged from 33.3% to 50.0% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201934.0% of 50 movements18.4% of 49 movements †30.5% of 59 movements37.1% of 62 movements29.0% of 69 movements33.3% of 60 movements39.7% of 63 movements23.5% of 68 movements26.3% of 57 movements19.0% of 58 movements26.5% of 49 movements †33.3% of 45 movements †202038.5% of 52 movements58.0% of 50 movementssuppressed: fewer than twenty movements15.0% of 20 movements †39.1% of 23 movements †suppressed: fewer than twenty movements13.3% of 30 movements †21.9% of 64 movements29.8% of 57 movements26.4% of 53 movements34.3% of 35 movements †22.6% of 31 movements †202136.7% of 30 movements †51.7% of 29 movements †30.0% of 30 movements †32.5% of 40 movements †18.0% of 61 movements29.9% of 67 movements20.8% of 72 movements16.2% of 68 movements30.6% of 62 movements40.0% of 60 movements44.2% of 52 movements48.0% of 50 movements202242.0% of 50 movements42.9% of 49 movements †44.8% of 58 movements40.0% of 60 movements37.5% of 64 movements43.5% of 69 movements32.4% of 74 movements20.8% of 72 movements23.4% of 64 movements27.1% of 59 movements47.2% of 53 movements50.0% of 48 movements †202353.1% of 49 movements †19.5% of 41 movements †33.3% of 57 movements25.9% of 58 movements28.4% of 67 movements22.2% of 63 movements20.9% of 67 movements23.1% of 65 movements22.8% of 57 movements42.1% of 57 movements49.1% of 53 movements50.0% of 46 movements †202440.9% of 44 movements †50.0% of 46 movements †20.0% of 55 movements31.6% of 57 movements21.3% of 61 movements24.6% of 65 movements25.4% of 67 movements27.1% of 70 movements21.3% of 61 movements46.9% of 64 movements34.0% of 53 movements41.2% of 51 movements202551.1% of 47 movements †31.1% of 45 movements †20.3% of 59 movements14.0% of 57 movements17.2% of 64 movements12.9% of 62 movements36.6% of 71 movements26.9% of 67 movements30.5% of 59 movements39.0% of 59 movements30.8% of 52 movements43.4% of 53 movements202627.1% of 48 movements †42.9% of 49 movements †23.2% of 56 movements33.3% of 57 movements20.0% of 60 movements20.0% of 60 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan40.9%25.9–53.1%7 months, 342 flights
Feb42.9%18.4–50.0%7 months, 331 flights
Mar30.0%20.0–44.8%7 months, 404 flights
Apr33.3%14.0–40.0%7 months, 407 flights
May28.4%17.2–37.5%7 months, 454 flights
Jun24.6%12.9–43.5%7 months, 450 flights
Jul34.5%20.9–39.7%6 months, 411 flights
Aug25.2%20.8–36.7%6 months, 402 flights
Sep24.9%21.3–33.3%6 months, 358 flights
Oct38.5%19.0–46.9%6 months, 355 flights
Nov32.4%26.5–49.1%6 months, 311 flights
Dec44.6%33.3–50.0%6 months, 291 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: Loganair Ltd, 31.0% of 691 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 optionLoganair31.0% of 691 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Flybesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Loganair69131.0% of 691 movements14.2% of 691 movements0.1% of 691 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.

No other published option in this window.

Does the direction you are flying change anything?

Barely: arrivals into GLA ran 31.0% of 691 movements disrupted, departures 31.0% of 678 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 GLA31.0% of 691 movements14.2% of 691 movements0.1% of 691 movements
Departures from GLA31.0% of 678 movements12.1% of 678 movementsno events in 678 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 202624 flights out of 5,56924 × £220 = £5,280
ArrivalsLast 72 months · Jul 2020–Jun 202613 flights out of 4,01013 × £220 = £2,860
DeparturesWhole archive · Jan 2018–Jun 202629 flights out of 5,55429 × £220 = £6,380
DeparturesLast 72 months · Jul 2020–Jun 202614 flights out of 3,99514 × £220 = £3,080
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 airportGLASGOW · GLA
Final point / countryBARRA / UNITED KINGDOM
Final point codesBRR / EGPR
Great-circle distance225 km
Maximum statutory amount for the band£220
Average operated arrivals per day1.62
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 archive101

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: 691; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

31.0% of 691 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

14.2% of 691 movements in the same window.

How many delays crossed three hours?

0.1% of 691 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?

225 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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