UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

GLA ↔ ALICANTE

In the twelve months from July 2025 to June 2026, 22.8% of 815 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, 77.2% of 815 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 204 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, 22.8% of 815 movements were disrupted and 0.5% of 815 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
22.8% of 815 movements0.5% of 815 movements24.6–59.1 min; N of delayed flights=182–405815
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: 0.5% of 815 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 min22.3%30 min12.4%60 min5.5%120 min1.5%180 min0.5%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min22.3% of 815 movements1824.5
>30 min12.4% of 815 movements1018.1
>60 min5.5% of 815 movements4518.1
>120 min1.5% of 815 movements1267.9
>180 min0.5% of 815 movements4203.8
>360 minno events in 815 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?

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 early9912.1%15–1 early30737.7%0–15 late22327.4%16–30819.9%31–60566.9%61…120334.0%121…18081.0%181…36040.5%>36000.0%D=815
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0292; 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: Feb 2018, 6.0% of 50 movements. Worst month: Sep 2024, 40.8% of 76 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: 15.1%; sample: 532018Feb 2018: 6.0%; sample: 50Mar 2018: 16.9%; sample: 65Apr 2018: 13.9%; sample: 79May 2018: 16.5%; sample: 85Jun 2018: 20.2%; sample: 94Jul 2018: 21.6%; sample: 97Aug 2018: 21.5%; sample: 79Sep 2018: 24.7%; sample: 89Oct 2018: 14.4%; sample: 90Nov 2018: 15.1%; sample: 53Dec 2018: 16.3%; sample: 43Jan 2019: 17.9%; sample: 392019Feb 2019: 12.8%; sample: 47Mar 2019: 21.8%; sample: 55Apr 2019: 7.7%; sample: 78May 2019: 19.3%; sample: 88Jun 2019: 23.3%; sample: 90Jul 2019: 20.7%; sample: 92Aug 2019: 17.9%; sample: 84Sep 2019: 19.1%; sample: 89Oct 2019: 8.0%; sample: 87Nov 2019: 7.4%; sample: 54Dec 2019: 34.1%; sample: 44Jan 2020: 22.9%; sample: 352020Feb 2020: 25.0%; sample: 44Mar 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: 6.1%; sample: 33Sep 2020: 0.0%; sample: 22Oct 2020: 5.0%; sample: 20Nov 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: suppressed: fewer than twenty movements×Jul 2021: 0.0%; sample: 23Aug 2021: 11.5%; sample: 26Sep 2021: 0.0%; sample: 36Oct 2021: 11.6%; sample: 43Nov 2021: 5.4%; sample: 37Dec 2021: 14.7%; sample: 34Jan 2022: 4.5%; sample: 222022Feb 2022: 17.9%; sample: 28Mar 2022: 7.8%; sample: 51Apr 2022: 28.4%; sample: 74May 2022: 32.0%; sample: 75Jun 2022: 35.5%; sample: 76Jul 2022: 26.9%; sample: 78Aug 2022: 29.0%; sample: 69Sep 2022: 28.8%; sample: 73Oct 2022: 20.3%; sample: 74Nov 2022: 24.6%; sample: 61Dec 2022: 16.1%; sample: 56Jan 2023: 17.6%; sample: 342023Feb 2023: 19.5%; sample: 41Mar 2023: 34.9%; sample: 63Apr 2023: 30.4%; sample: 69May 2023: 23.8%; sample: 80Jun 2023: 33.8%; sample: 77Jul 2023: 28.2%; sample: 78Aug 2023: 28.2%; sample: 71Sep 2023: 27.3%; sample: 77Oct 2023: 25.0%; sample: 80Nov 2023: 32.7%; sample: 49Dec 2023: 24.4%; sample: 41Jan 2024: 3.0%; sample: 332024Feb 2024: 21.4%; sample: 42Mar 2024: 9.3%; sample: 54Apr 2024: 22.2%; sample: 63May 2024: 31.6%; sample: 79Jun 2024: 32.9%; sample: 76Jul 2024: 26.9%; sample: 78Aug 2024: 20.0%; sample: 70Sep 2024: 40.8%; sample: 76Oct 2024: 28.0%; sample: 82Nov 2024: 20.7%; sample: 58Dec 2024: 21.4%; sample: 42Jan 2025: 18.2%; sample: 332025Feb 2025: 7.9%; sample: 38Mar 2025: 16.1%; sample: 62Apr 2025: 16.0%; sample: 75May 2025: 24.1%; sample: 79Jun 2025: 28.2%; sample: 78Jul 2025: 33.8%; sample: 80Aug 2025: 20.0%; sample: 80Sep 2025: 24.7%; sample: 77Oct 2025: 25.3%; sample: 79Nov 2025: 18.6%; sample: 59Dec 2025: 12.8%; sample: 47Jan 2026: 7.3%; sample: 412026Feb 2026: 18.6%; sample: 43Mar 2026: 22.1%; sample: 68Apr 2026: 23.0%; sample: 74May 2026: 28.2%; sample: 85Jun 2026: 24.4%; sample: 82Pandemic 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 201815.1% of 53 movements
Feb 20186.0% of 50 movements
Mar 201816.9% of 65 movements
Apr 201813.9% of 79 movements
May 201816.5% of 85 movements
Jun 201820.2% of 94 movements
Jul 201821.6% of 97 movements
Aug 201821.5% of 79 movements
Sep 201824.7% of 89 movements
Oct 201814.4% of 90 movements
Nov 201815.1% of 53 movements
Dec 201816.3% of 43 movements — small sample, not ranked
Jan 201917.9% of 39 movements — small sample, not ranked
Feb 201912.8% of 47 movements — small sample, not ranked
Mar 201921.8% of 55 movements
Apr 20197.7% of 78 movements
May 201919.3% of 88 movements
Jun 201923.3% of 90 movements
Jul 201920.7% of 92 movements
Aug 201917.9% of 84 movements
Sep 201919.1% of 89 movements
Oct 20198.0% of 87 movements
Nov 20197.4% of 54 movements
Dec 201934.1% of 44 movements — small sample, not ranked
Jan 202022.9% of 35 movements — small sample, not ranked
Feb 202025.0% of 44 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 2020suppressed: fewer than twenty movements
Aug 20206.1% of 33 movements — small sample, not ranked
Sep 2020no events in 22 movements — small sample, not ranked
Oct 20205.0% of 20 movements — small sample, not ranked
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 2021suppressed: fewer than twenty movements
Jul 2021no events in 23 movements — small sample, not ranked
Aug 202111.5% of 26 movements — small sample, not ranked
Sep 2021no events in 36 movements — small sample, not ranked
Oct 202111.6% of 43 movements — small sample, not ranked
Nov 20215.4% of 37 movements — small sample, not ranked
Dec 202114.7% of 34 movements — small sample, not ranked
Jan 20224.5% of 22 movements — small sample, not ranked
Feb 202217.9% of 28 movements — small sample, not ranked
Mar 20227.8% of 51 movements
Apr 202228.4% of 74 movements
May 202232.0% of 75 movements
Jun 202235.5% of 76 movements
Jul 202226.9% of 78 movements
Aug 202229.0% of 69 movements
Sep 202228.8% of 73 movements
Oct 202220.3% of 74 movements
Nov 202224.6% of 61 movements
Dec 202216.1% of 56 movements
Jan 202317.6% of 34 movements — small sample, not ranked
Feb 202319.5% of 41 movements — small sample, not ranked
Mar 202334.9% of 63 movements
Apr 202330.4% of 69 movements
May 202323.8% of 80 movements
Jun 202333.8% of 77 movements
Jul 202328.2% of 78 movements
Aug 202328.2% of 71 movements
Sep 202327.3% of 77 movements
Oct 202325.0% of 80 movements
Nov 202332.7% of 49 movements — small sample, not ranked
Dec 202324.4% of 41 movements — small sample, not ranked
Jan 20243.0% of 33 movements — small sample, not ranked
Feb 202421.4% of 42 movements — small sample, not ranked
Mar 20249.3% of 54 movements
Apr 202422.2% of 63 movements
May 202431.6% of 79 movements
Jun 202432.9% of 76 movements
Jul 202426.9% of 78 movements
Aug 202420.0% of 70 movements
Sep 202440.8% of 76 movements
Oct 202428.0% of 82 movements
Nov 202420.7% of 58 movements
Dec 202421.4% of 42 movements — small sample, not ranked
Jan 202518.2% of 33 movements — small sample, not ranked
Feb 20257.9% of 38 movements — small sample, not ranked
Mar 202516.1% of 62 movements
Apr 202516.0% of 75 movements
May 202524.1% of 79 movements
Jun 202528.2% of 78 movements
Jul 202533.8% of 80 movements
Aug 202520.0% of 80 movements
Sep 202524.7% of 77 movements
Oct 202525.3% of 79 movements
Nov 202518.6% of 59 movements
Dec 202512.8% of 47 movements — small sample, not ranked
Jan 20267.3% of 41 movements — small sample, not ranked
Feb 202618.6% of 43 movements — small sample, not ranked
Mar 202622.1% of 68 movements
Apr 202623.0% of 74 movements
May 202628.2% of 85 movements
Jun 202624.4% of 82 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 2022Arrivals26.9% of 78 movements14.1% across 525 flightsstill above it 8 months later
Summer 2022 breakdown · Jul 2022Departures28.2% of 78 movements15.1% across 529 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals28.2% of 71 movements25.6% across 775 flightsreturned after 2 months
NATS system failure · Aug 2023Departures20.0% of 70 movements23.1% across 772 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals16.1% of 62 movements23.3% across 749 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures19.4% of 62 movements25.7% across 760 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?

June has historically been the hardest month on this route: in a typical June, 28.2% of arrivals were disrupted, measured across 7 Junes in the archive. January has been the calmest, at 15.1% across 7 Januarys.

Even June has ranged from 20.2% to 35.5% in different years, so this is a record of what happened, not a forecast of what will. Lower is better throughout.

Each cell is one calendar month of one year; the number is the share of that month’s arrivals that were disrupted. Darker means worse. A blank cell means no published data, not zero.

Seasonality: calendar month by year; share and nJanFebMarAprMayJunJulAugSepOctNovDec201917.9% of 39 movements †12.8% of 47 movements †21.8% of 55 movements7.7% of 78 movements19.3% of 88 movements23.3% of 90 movements20.7% of 92 movements17.9% of 84 movements19.1% of 89 movements8.0% of 87 movements7.4% of 54 movements34.1% of 44 movements †202022.9% of 35 movements †25.0% of 44 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements6.1% of 33 movements †no events in 22 movements †5.0% of 20 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno datano datasuppressed: fewer than twenty movementsno events in 23 movements †11.5% of 26 movements †no events in 36 movements †11.6% of 43 movements †5.4% of 37 movements †14.7% of 34 movements †20224.5% of 22 movements †17.9% of 28 movements †7.8% of 51 movements28.4% of 74 movements32.0% of 75 movements35.5% of 76 movements26.9% of 78 movements29.0% of 69 movements28.8% of 73 movements20.3% of 74 movements24.6% of 61 movements16.1% of 56 movements202317.6% of 34 movements †19.5% of 41 movements †34.9% of 63 movements30.4% of 69 movements23.8% of 80 movements33.8% of 77 movements28.2% of 78 movements28.2% of 71 movements27.3% of 77 movements25.0% of 80 movements32.7% of 49 movements †24.4% of 41 movements †20243.0% of 33 movements †21.4% of 42 movements †9.3% of 54 movements22.2% of 63 movements31.6% of 79 movements32.9% of 76 movements26.9% of 78 movements20.0% of 70 movements40.8% of 76 movements28.0% of 82 movements20.7% of 58 movements21.4% of 42 movements †202518.2% of 33 movements †7.9% of 38 movements †16.1% of 62 movements16.0% of 75 movements24.1% of 79 movements28.2% of 78 movements33.8% of 80 movements20.0% of 80 movements24.7% of 77 movements25.3% of 79 movements18.6% of 59 movements12.8% of 47 movements †20267.3% of 41 movements †18.6% of 43 movements †22.1% of 68 movements23.0% of 74 movements28.2% of 85 movements24.4% of 82 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan15.1%3.0–18.2%7 months, 255 flights
Feb17.9%6.0–21.4%7 months, 289 flights
Mar16.9%7.8–34.9%7 months, 418 flights
Apr22.2%7.7–30.4%7 months, 512 flights
May24.1%16.5–32.0%7 months, 571 flights
Jun28.2%20.2–35.5%7 months, 573 flights
Jul26.9%20.7–33.8%6 months, 503 flights
Aug20.8%17.9–29.0%6 months, 453 flights
Sep26.0%19.1–40.8%6 months, 481 flights
Oct22.6%8.0–28.0%6 months, 492 flights
Nov19.7%7.4–32.7%6 months, 334 flights
Dec18.9%12.8–34.1%6 months, 273 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: Easyjet Uk 16.2% of 272 movements, Ryanair 20.2% of 129 movements, Jet2.Com 21.3% of 324 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 optionEasyjet Uk16.2% of 272 flightsJet2.Com21.3% of 324 flightsRyanair20.2% of 129 flightsTui Airways51.7% of 89 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Air Nostrumsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ba Cityflyersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
British Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Eastern Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Airlinesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Europesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Switzerlandsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Uk27216.2% of 272 movements0.4% of 272 movementsno events in 272 movementsdescriptive comparison
Jet2.Com32421.3% of 324 movementsno events in 324 movements0.6% of 324 movementsdescriptive comparison
Ryanair12920.2% of 129 movements1.6% of 129 movementsno events in 129 movementsdescriptive comparison
Thomas Cook Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Tui Airways8951.7% of 89 movementsno events in 89 movements2.2% of 89 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, ABZ had the lowest disruption share at 9.8% of 163 movements and MAN the highest at 41.7% of 2,640 movements. This route sits at 22.8% of 815 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 optionAbz ↔ Alicante9.8% of 163 flightsBfs ↔ Alicante22.7% of 917 flightsBhx ↔ Alicante27.9% of 1,350 flightsBoh ↔ Alicante25.7% of 408 flightsBrs ↔ Alicante22.4% of 1,558 flightsCwl ↔ Alicante31.7% of 426 flightsEdi ↔ Alicante32.8% of 751 flightsEma ↔ Alicante25.7% of 1,077 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Alicante1639.8% of 163 movementsno events in 163 movementsno events in 163 movementsdescriptive comparison
Bfs ↔ Alicante91722.7% of 917 movements0.2% of 917 movements0.9% of 917 movementsdescriptive comparison
Bhd ↔ Alicantesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Alicante1,35027.9% of 1,350 movements0.2% of 1,350 movements0.7% of 1,350 movementsdescriptive comparison
Boh ↔ Alicante40825.7% of 408 movements0.2% of 408 movementsno events in 408 movementsdescriptive comparison
Brs ↔ Alicante1,55822.4% of 1,558 movements0.2% of 1,558 movements0.7% of 1,558 movementsdescriptive comparison
Cwl ↔ Alicante42631.7% of 426 movementsno events in 426 movementsno events in 426 movementsdescriptive comparison
Doncaster-Sheffield ↔ Alicantesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Alicante75132.8% of 751 movementsno events in 751 movements0.3% of 751 movementsdescriptive comparison
Ema ↔ Alicante1,07725.7% of 1,077 movements0.1% of 1,077 movements0.7% of 1,077 movementsdescriptive comparison
Ext ↔ Alicante16518.8% of 165 movementsno events in 165 movements1.2% of 165 movementsdescriptive comparison
Lba ↔ Alicante1,24425.9% of 1,244 movements0.6% of 1,244 movements0.4% of 1,244 movementsdescriptive comparison
Lgw ↔ Alicante2,76030.2% of 2,760 movements0.1% of 2,760 movements0.5% of 2,760 movementsdescriptive comparison
Lhr ↔ Alicantesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ Alicante1,26521.3% of 1,265 movements0.6% of 1,265 movements0.5% of 1,265 movementsdescriptive comparison
Ltn ↔ Alicante1,26332.9% of 1,263 movements0.1% of 1,263 movements0.6% of 1,263 movementsdescriptive comparison
Man ↔ Alicante2,64041.7% of 2,640 movements0.1% of 2,640 movements0.6% of 2,640 movementsdescriptive comparison
Mme ↔ Alicante15724.8% of 157 movementsno events in 157 movementsno events in 157 movementsdescriptive comparison
Ncl ↔ Alicante1,02225.7% of 1,022 movements0.4% of 1,022 movements0.3% of 1,022 movementsdescriptive comparison
Sen ↔ Alicante23831.5% of 238 movements0.8% of 238 movements0.8% of 238 movementsdescriptive comparison
Sou ↔ Alicante10925.7% of 109 movements4.6% of 109 movements2.8% of 109 movementsdescriptive comparison
Stn ↔ Alicante1,52830.4% of 1,528 movements0.1% of 1,528 movements0.7% of 1,528 movementsdescriptive comparison

Does the direction you are flying change anything?

Barely: arrivals into GLA ran 22.8% of 815 movements disrupted, departures 20.6% of 814 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 GLA22.8% of 815 movements0.5% of 815 movements0.5% of 815 movements
Departures from GLA20.6% of 814 movements0.1% of 814 movements0.7% of 814 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 202625 flights out of 5,54225 × £350 = £8,750
ArrivalsLast 72 months · Jul 2020–Jun 202613 flights out of 3,73613 × £350 = £4,550
DeparturesWhole archive · Jan 2018–Jun 202623 flights out of 5,55323 × £350 = £8,050
DeparturesLast 72 months · Jul 2020–Jun 202615 flights out of 3,75015 × £350 = £5,250
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 / countryALICANTE / SPAIN
Final point codesALC / LEAL
Great-circle distance1,977 km
Maximum statutory amount for the band£350
Average operated arrivals per day2.22
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 archive95

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: 815; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

22.8% of 815 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.5% of 815 movements in the same window.

How many delays crossed three hours?

0.5% of 815 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?

1,977 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

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