UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

GLA ↔ CAMPBELTOWN

In the twelve months from July 2025 to June 2026, 18.6% of 548 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, 81.4% of 548 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: no such event in this sample, which does not mean zero risk 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, 18.6% of 548 movements were disrupted and 10.2% of 548 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
18.6% of 548 movements10.2% of 548 movements15.4–74.8 min; N of delayed flights=46–192548
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: 10.2% of 548 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 min8.4%30 min5.8%60 min2.2%120 min0.4%180 min0.0%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min8.4% of 548 movements4611.9
>30 min5.8% of 548 movements3217.1
>60 min2.2% of 548 movements1245.7
>120 min0.4% of 548 movements2274.0
>180 minno events in 548 movements0no observed events, which is not zero risk
>360 minno events in 548 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 early11020.1%15–1 early19034.7%0–15 late14626.6%16–30142.6%31–60203.6%61…120101.8%121…18020.4%181…36000.0%>36000.0%D=548
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0000; 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, 6.0% of 50 movements. Worst month: May 2019, 32.0% 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: 21.4%; sample: 422018Feb 2018: 36.6%; sample: 41Mar 2018: 25.0%; sample: 44Apr 2018: 30.2%; sample: 43May 2018: 14.3%; sample: 49Jun 2018: 13.0%; sample: 46Jul 2018: 24.5%; sample: 49Aug 2018: 25.5%; sample: 51Sep 2018: 20.0%; sample: 45Oct 2018: 23.9%; sample: 46Nov 2018: 19.6%; sample: 46Dec 2018: 33.3%; sample: 36Jan 2019: 34.9%; sample: 432019Feb 2019: 28.6%; sample: 42Mar 2019: 7.3%; sample: 41Apr 2019: 20.0%; sample: 45May 2019: 32.0%; sample: 50Jun 2019: 20.0%; sample: 45Jul 2019: 24.0%; sample: 50Aug 2019: 14.3%; sample: 49Sep 2019: 25.5%; sample: 47Oct 2019: 15.2%; sample: 46Nov 2019: 14.3%; sample: 42Dec 2019: 16.2%; sample: 37Jan 2020: 37.2%; sample: 432020Feb 2020: 34.1%; sample: 41Mar 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: 33.3%; sample: 21Aug 2020: 40.6%; sample: 32Sep 2020: 23.7%; sample: 38Oct 2020: 10.8%; sample: 37Nov 2020: 27.5%; sample: 40Dec 2020: 20.0%; sample: 35Jan 2021: 52.4%; sample: 212021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: 22.7%; sample: 22Apr 2021: suppressed: fewer than twenty movements×May 2021: 21.2%; sample: 52Jun 2021: 24.5%; sample: 49Jul 2021: 34.8%; sample: 46Aug 2021: 16.7%; sample: 48Sep 2021: 26.0%; sample: 50Oct 2021: suppressed: fewer than twenty movements×Nov 2021: 33.3%; sample: 27Dec 2021: 31.6%; sample: 38Jan 2022: 15.8%; sample: 382022Feb 2022: 40.6%; sample: 32Mar 2022: 41.9%; sample: 43Apr 2022: 23.8%; sample: 42May 2022: 24.5%; sample: 49Jun 2022: 14.9%; sample: 47Jul 2022: 40.8%; sample: 49Aug 2022: 20.0%; sample: 50Sep 2022: 12.5%; sample: 48Oct 2022: 14.3%; sample: 42Nov 2022: 40.9%; sample: 44Dec 2022: 47.6%; sample: 42Jan 2023: 48.8%; sample: 412023Feb 2023: 12.8%; sample: 39Mar 2023: 23.9%; sample: 46Apr 2023: 10.3%; sample: 39May 2023: 16.0%; sample: 50Jun 2023: 6.2%; sample: 48Jul 2023: 14.9%; sample: 47Aug 2023: 10.0%; sample: 50Sep 2023: 11.1%; sample: 45Oct 2023: 20.5%; sample: 44Nov 2023: 22.7%; sample: 44Dec 2023: 35.1%; sample: 37Jan 2024: 21.4%; sample: 422024Feb 2024: 45.2%; sample: 42Mar 2024: 7.5%; sample: 40Apr 2024: 11.6%; sample: 43May 2024: 6.0%; sample: 50Jun 2024: 15.2%; sample: 46Jul 2024: 28.0%; sample: 50Aug 2024: 18.4%; sample: 49Sep 2024: 12.8%; sample: 47Oct 2024: 26.1%; sample: 46Nov 2024: 23.3%; sample: 43Dec 2024: 47.4%; sample: 38Jan 2025: 50.0%; sample: 402025Feb 2025: 10.0%; sample: 40Mar 2025: 2.5%; sample: 40Apr 2025: 2.3%; sample: 43May 2025: 15.2%; sample: 46Jun 2025: 10.6%; sample: 47Jul 2025: 17.3%; sample: 52Aug 2025: 14.6%; sample: 48Sep 2025: 10.4%; sample: 48Oct 2025: 8.7%; sample: 46Nov 2025: 33.3%; sample: 42Dec 2025: 46.9%; sample: 49Jan 2026: 27.5%; sample: 402026Feb 2026: 10.0%; sample: 40Mar 2026: 20.5%; sample: 44Apr 2026: 11.4%; sample: 44May 2026: 10.9%; sample: 46Jun 2026: 12.2%; sample: 49Pandemic 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 201821.4% of 42 movements — small sample, not ranked
Feb 201836.6% of 41 movements — small sample, not ranked
Mar 201825.0% of 44 movements — small sample, not ranked
Apr 201830.2% of 43 movements — small sample, not ranked
May 201814.3% of 49 movements — small sample, not ranked
Jun 201813.0% of 46 movements — small sample, not ranked
Jul 201824.5% of 49 movements — small sample, not ranked
Aug 201825.5% of 51 movements
Sep 201820.0% of 45 movements — small sample, not ranked
Oct 201823.9% of 46 movements — small sample, not ranked
Nov 201819.6% of 46 movements — small sample, not ranked
Dec 201833.3% of 36 movements — small sample, not ranked
Jan 201934.9% of 43 movements — small sample, not ranked
Feb 201928.6% of 42 movements — small sample, not ranked
Mar 20197.3% of 41 movements — small sample, not ranked
Apr 201920.0% of 45 movements — small sample, not ranked
May 201932.0% of 50 movements
Jun 201920.0% of 45 movements — small sample, not ranked
Jul 201924.0% of 50 movements
Aug 201914.3% of 49 movements — small sample, not ranked
Sep 201925.5% of 47 movements — small sample, not ranked
Oct 201915.2% of 46 movements — small sample, not ranked
Nov 201914.3% of 42 movements — small sample, not ranked
Dec 201916.2% of 37 movements — small sample, not ranked
Jan 202037.2% of 43 movements — small sample, not ranked
Feb 202034.1% of 41 movements — small sample, not ranked
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 202033.3% of 21 movements — small sample, not ranked
Aug 202040.6% of 32 movements — small sample, not ranked
Sep 202023.7% of 38 movements — small sample, not ranked
Oct 202010.8% of 37 movements — small sample, not ranked
Nov 202027.5% of 40 movements — small sample, not ranked
Dec 202020.0% of 35 movements — small sample, not ranked
Jan 202152.4% of 21 movements — small sample, not ranked
Feb 2021suppressed: fewer than twenty movements
Mar 202122.7% of 22 movements — small sample, not ranked
Apr 2021suppressed: fewer than twenty movements
May 202121.2% of 52 movements
Jun 202124.5% of 49 movements — small sample, not ranked
Jul 202134.8% of 46 movements — small sample, not ranked
Aug 202116.7% of 48 movements — small sample, not ranked
Sep 202126.0% of 50 movements
Oct 2021suppressed: fewer than twenty movements
Nov 202133.3% of 27 movements — small sample, not ranked
Dec 202131.6% of 38 movements — small sample, not ranked
Jan 202215.8% of 38 movements — small sample, not ranked
Feb 202240.6% of 32 movements — small sample, not ranked
Mar 202241.9% of 43 movements — small sample, not ranked
Apr 202223.8% of 42 movements — small sample, not ranked
May 202224.5% of 49 movements — small sample, not ranked
Jun 202214.9% of 47 movements — small sample, not ranked
Jul 202240.8% of 49 movements — small sample, not ranked
Aug 202220.0% of 50 movements
Sep 202212.5% of 48 movements — small sample, not ranked
Oct 202214.3% of 42 movements — small sample, not ranked
Nov 202240.9% of 44 movements — small sample, not ranked
Dec 202247.6% of 42 movements — small sample, not ranked
Jan 202348.8% of 41 movements — small sample, not ranked
Feb 202312.8% of 39 movements — small sample, not ranked
Mar 202323.9% of 46 movements — small sample, not ranked
Apr 202310.3% of 39 movements — small sample, not ranked
May 202316.0% of 50 movements
Jun 20236.2% of 48 movements — small sample, not ranked
Jul 202314.9% of 47 movements — small sample, not ranked
Aug 202310.0% of 50 movements
Sep 202311.1% of 45 movements — small sample, not ranked
Oct 202320.5% of 44 movements — small sample, not ranked
Nov 202322.7% of 44 movements — small sample, not ranked
Dec 202335.1% of 37 movements — small sample, not ranked
Jan 202421.4% of 42 movements — small sample, not ranked
Feb 202445.2% of 42 movements — small sample, not ranked
Mar 20247.5% of 40 movements — small sample, not ranked
Apr 202411.6% of 43 movements — small sample, not ranked
May 20246.0% of 50 movements
Jun 202415.2% of 46 movements — small sample, not ranked
Jul 202428.0% of 50 movements
Aug 202418.4% of 49 movements — small sample, not ranked
Sep 202412.8% of 47 movements — small sample, not ranked
Oct 202426.1% of 46 movements — small sample, not ranked
Nov 202423.3% of 43 movements — small sample, not ranked
Dec 202447.4% of 38 movements — small sample, not ranked
Jan 202550.0% of 40 movements — small sample, not ranked
Feb 202510.0% of 40 movements — small sample, not ranked
Mar 20252.5% of 40 movements — small sample, not ranked
Apr 20252.3% of 43 movements — small sample, not ranked
May 202515.2% of 46 movements — small sample, not ranked
Jun 202510.6% of 47 movements — small sample, not ranked
Jul 202517.3% of 52 movements
Aug 202514.6% of 48 movements — small sample, not ranked
Sep 202510.4% of 48 movements — small sample, not ranked
Oct 20258.7% of 46 movements — small sample, not ranked
Nov 202533.3% of 42 movements — small sample, not ranked
Dec 202546.9% of 49 movements — small sample, not ranked
Jan 202627.5% of 40 movements — small sample, not ranked
Feb 202610.0% of 40 movements — small sample, not ranked
Mar 202620.5% of 44 movements — small sample, not ranked
Apr 202611.4% of 44 movements — small sample, not ranked
May 202610.9% of 46 movements — small sample, not ranked
Jun 202612.2% of 49 movements — small sample, not ranked

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 2022Arrivals40.8% of 49 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures46.8% of 47 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals10.0% of 50 movements22.4% across 536 flightsreturned the next month
NATS system failure · Aug 2023Departures10.0% of 50 movements20.7% across 521 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals2.5% of 40 movements — small sample, not ranked21.3% across 532 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures2.4% of 42 movements — small sample, not ranked20.3% across 525 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, 41.0% of arrivals were disrupted, measured across 6 Decembers in the archive. April has been the calmest, at 11.6% across 7 Aprils.

Even December has ranged from 16.2% to 47.6% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201934.9% of 43 movements †28.6% of 42 movements †7.3% of 41 movements †20.0% of 45 movements †32.0% of 50 movements20.0% of 45 movements †24.0% of 50 movements14.3% of 49 movements †25.5% of 47 movements †15.2% of 46 movements †14.3% of 42 movements †16.2% of 37 movements †202037.2% of 43 movements †34.1% of 41 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements33.3% of 21 movements †40.6% of 32 movements †23.7% of 38 movements †10.8% of 37 movements †27.5% of 40 movements †20.0% of 35 movements †202152.4% of 21 movements †suppressed: fewer than twenty movements22.7% of 22 movements †suppressed: fewer than twenty movements21.2% of 52 movements24.5% of 49 movements †34.8% of 46 movements †16.7% of 48 movements †26.0% of 50 movementssuppressed: fewer than twenty movements33.3% of 27 movements †31.6% of 38 movements †202215.8% of 38 movements †40.6% of 32 movements †41.9% of 43 movements †23.8% of 42 movements †24.5% of 49 movements †14.9% of 47 movements †40.8% of 49 movements †20.0% of 50 movements12.5% of 48 movements †14.3% of 42 movements †40.9% of 44 movements †47.6% of 42 movements †202348.8% of 41 movements †12.8% of 39 movements †23.9% of 46 movements †10.3% of 39 movements †16.0% of 50 movements6.2% of 48 movements †14.9% of 47 movements †10.0% of 50 movements11.1% of 45 movements †20.5% of 44 movements †22.7% of 44 movements †35.1% of 37 movements †202421.4% of 42 movements †45.2% of 42 movements †7.5% of 40 movements †11.6% of 43 movements †6.0% of 50 movements15.2% of 46 movements †28.0% of 50 movements18.4% of 49 movements †12.8% of 47 movements †26.1% of 46 movements †23.3% of 43 movements †47.4% of 38 movements †202550.0% of 40 movements †10.0% of 40 movements †2.5% of 40 movements †2.3% of 43 movements †15.2% of 46 movements †10.6% of 47 movements †17.3% of 52 movements14.6% of 48 movements †10.4% of 48 movements †8.7% of 46 movements †33.3% of 42 movements †46.9% of 49 movements †202627.5% of 40 movements †10.0% of 40 movements †20.5% of 44 movements †11.4% of 44 movements †10.9% of 46 movements †12.2% of 49 movements †no datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan27.5%15.8–50.0%7 months, 286 flights
Feb28.6%10.0–45.2%7 months, 276 flights
Mar20.5%2.5–41.9%7 months, 298 flights
Apr11.6%2.3–30.2%7 months, 299 flights
May15.2%6.0–32.0%7 months, 340 flights
Jun13.0%6.2–20.0%7 months, 328 flights
Jul24.2%14.9–40.8%6 months, 297 flights
Aug16.5%10.0–25.5%6 months, 297 flights
Sep12.6%10.4–25.5%6 months, 280 flights
Oct17.8%8.7–26.1%6 months, 270 flights
Nov23.0%14.3–40.9%6 months, 261 flights
Dec41.0%16.2–47.6%6 months, 239 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, 18.6% of 548 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 optionLoganair18.6% of 548 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
Loganair54818.6% of 548 movements10.2% of 548 movementsno events in 548 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 18.6% of 548 movements disrupted, departures 16.1% of 541 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 GLA18.6% of 548 movements10.2% of 548 movementsno events in 548 movements
Departures from GLA16.1% of 541 movements8.1% of 541 movementsno events in 541 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 202612 flights out of 4,17712 × £220 = £2,640
ArrivalsLast 72 months · Jul 2020–Jun 20266 flights out of 2,9896 × £220 = £1,320
DeparturesWhole archive · Jan 2018–Jun 20266 flights out of 3,9616 × £220 = £1,320
DeparturesLast 72 months · Jul 2020–Jun 20263 flights out of 2,8103 × £220 = £660
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 / countryCAMPBELTOWN / UNITED KINGDOM
Final point codesCAL / EGEC
Great-circle distance92 km
Maximum statutory amount for the band£220
Average operated arrivals per day1.35
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: 548; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

18.6% of 548 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

10.2% of 548 movements in the same window.

How many delays crossed three hours?

no events in 548 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?

92 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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