UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

STN ↔ ARRECIFE

In the twelve months from July 2025 to June 2026, 24.3% of 870 movements arriving into STN were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 75.7% of 870 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 109 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, 24.3% of 870 movements were disrupted and 0.1% of 870 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
24.3% of 870 movements0.1% of 870 movements28.6–63.5 min; N of delayed flights=210–436870
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: 0.1% of 870 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 min24.1%30 min13.1%60 min5.7%120 min1.3%180 min0.9%360 min0.1%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min24.1% of 870 movements2104.1
>30 min13.1% of 870 movements1147.6
>60 min5.7% of 870 movements5017.4
>120 min1.3% of 870 movements1179.1
>180 min0.9% of 870 movements8108.8
>360 min0.1% of 870 movements1870.0
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 early15918.3%15–1 early27431.5%0–15 late22626.0%16–309611.0%31–60647.4%61…120394.5%121…18030.3%181…36070.8%>36010.1%D=870
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0500; 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, 1.9% of 53 movements. Worst month: May 2018, 62.3% of 53 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: 17.6%; sample: 512018Feb 2018: 36.4%; sample: 44Mar 2018: 54.0%; sample: 50Apr 2018: 27.6%; sample: 58May 2018: 62.3%; sample: 53Jun 2018: 13.7%; sample: 51Jul 2018: 29.1%; sample: 55Aug 2018: 42.3%; sample: 71Sep 2018: 43.5%; sample: 69Oct 2018: 41.7%; sample: 72Nov 2018: 40.4%; sample: 52Dec 2018: 27.8%; sample: 54Jan 2019: 25.9%; sample: 542019Feb 2019: 15.4%; sample: 52Mar 2019: 5.2%; sample: 58Apr 2019: 14.3%; sample: 70May 2019: 23.8%; sample: 63Jun 2019: 21.9%; sample: 64Jul 2019: 13.4%; sample: 67Aug 2019: 9.2%; sample: 65Sep 2019: 16.9%; sample: 65Oct 2019: 19.7%; sample: 61Nov 2019: 18.4%; sample: 49Dec 2019: 36.8%; sample: 57Jan 2020: 19.2%; sample: 522020Feb 2020: 39.2%; sample: 51Mar 2020: 36.6%; sample: 41Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 2.7%; sample: 37Aug 2020: 14.9%; sample: 47Sep 2020: 7.7%; sample: 26Oct 2020: 0.0%; sample: 26Nov 2020: 0.0%; sample: 30Dec 2020: 16.1%; sample: 31Jan 2021: suppressed: fewer than twenty movements×2021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: suppressed: fewer than twenty movements×May 2021: suppressed: fewer than twenty movements×Jun 2021: suppressed: fewer than twenty movements×Jul 2021: 6.2%; sample: 32Aug 2021: 6.1%; sample: 49Sep 2021: 1.9%; sample: 53Oct 2021: 10.5%; sample: 57Nov 2021: 23.8%; sample: 63Dec 2021: 15.9%; sample: 63Jan 2022: 14.9%; sample: 472022Feb 2022: 13.3%; sample: 60Mar 2022: 9.9%; sample: 71Apr 2022: 18.4%; sample: 76May 2022: 21.1%; sample: 71Jun 2022: 17.4%; sample: 69Jul 2022: 13.7%; sample: 73Aug 2022: 13.5%; sample: 74Sep 2022: 24.6%; sample: 69Oct 2022: 25.0%; sample: 80Nov 2022: 22.7%; sample: 66Dec 2022: 30.1%; sample: 73Jan 2023: 16.4%; sample: 672023Feb 2023: 24.6%; sample: 57Mar 2023: 42.4%; sample: 66Apr 2023: 20.8%; sample: 77May 2023: 18.3%; sample: 71Jun 2023: 25.0%; sample: 68Jul 2023: 13.7%; sample: 73Aug 2023: 18.7%; sample: 75Sep 2023: 15.9%; sample: 69Oct 2023: 10.5%; sample: 76Nov 2023: 30.8%; sample: 65Dec 2023: 30.0%; sample: 70Jan 2024: 28.4%; sample: 672024Feb 2024: 33.9%; sample: 62Mar 2024: 31.9%; sample: 69Apr 2024: 21.3%; sample: 75May 2024: 39.4%; sample: 71Jun 2024: 44.1%; sample: 68Jul 2024: 30.6%; sample: 72Aug 2024: 33.3%; sample: 78Sep 2024: 37.8%; sample: 74Oct 2024: 30.9%; sample: 81Nov 2024: 25.0%; sample: 64Dec 2024: 30.3%; sample: 66Jan 2025: 25.0%; sample: 642025Feb 2025: 13.1%; sample: 61Mar 2025: 23.3%; sample: 73Apr 2025: 19.0%; sample: 79May 2025: 28.2%; sample: 78Jun 2025: 28.4%; sample: 74Jul 2025: 30.4%; sample: 79Aug 2025: 22.8%; sample: 79Sep 2025: 22.8%; sample: 79Oct 2025: 14.3%; sample: 84Nov 2025: 29.0%; sample: 69Dec 2025: 28.4%; sample: 67Jan 2026: 23.1%; sample: 652026Feb 2026: 18.3%; sample: 60Mar 2026: 34.2%; sample: 73Apr 2026: 26.7%; sample: 75May 2026: 18.6%; sample: 70Jun 2026: 22.9%; sample: 70Pandemic 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 201817.6% of 51 movements
Feb 201836.4% of 44 movements — small sample, not ranked
Mar 201854.0% of 50 movements
Apr 201827.6% of 58 movements
May 201862.3% of 53 movements
Jun 201813.7% of 51 movements
Jul 201829.1% of 55 movements
Aug 201842.3% of 71 movements
Sep 201843.5% of 69 movements
Oct 201841.7% of 72 movements
Nov 201840.4% of 52 movements
Dec 201827.8% of 54 movements
Jan 201925.9% of 54 movements
Feb 201915.4% of 52 movements
Mar 20195.2% of 58 movements
Apr 201914.3% of 70 movements
May 201923.8% of 63 movements
Jun 201921.9% of 64 movements
Jul 201913.4% of 67 movements
Aug 20199.2% of 65 movements
Sep 201916.9% of 65 movements
Oct 201919.7% of 61 movements
Nov 201918.4% of 49 movements — small sample, not ranked
Dec 201936.8% of 57 movements
Jan 202019.2% of 52 movements
Feb 202039.2% of 51 movements
Mar 202036.6% of 41 movements — small sample, not ranked
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 20202.7% of 37 movements — small sample, not ranked
Aug 202014.9% of 47 movements — small sample, not ranked
Sep 20207.7% of 26 movements — small sample, not ranked
Oct 2020no events in 26 movements — small sample, not ranked
Nov 2020no events in 30 movements — small sample, not ranked
Dec 202016.1% of 31 movements — small sample, not ranked
Jan 2021suppressed: fewer than twenty movements
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 2021suppressed: fewer than twenty movements
May 2021suppressed: fewer than twenty movements
Jun 2021suppressed: fewer than twenty movements
Jul 20216.2% of 32 movements — small sample, not ranked
Aug 20216.1% of 49 movements — small sample, not ranked
Sep 20211.9% of 53 movements
Oct 202110.5% of 57 movements
Nov 202123.8% of 63 movements
Dec 202115.9% of 63 movements
Jan 202214.9% of 47 movements — small sample, not ranked
Feb 202213.3% of 60 movements
Mar 20229.9% of 71 movements
Apr 202218.4% of 76 movements
May 202221.1% of 71 movements
Jun 202217.4% of 69 movements
Jul 202213.7% of 73 movements
Aug 202213.5% of 74 movements
Sep 202224.6% of 69 movements
Oct 202225.0% of 80 movements
Nov 202222.7% of 66 movements
Dec 202230.1% of 73 movements
Jan 202316.4% of 67 movements
Feb 202324.6% of 57 movements
Mar 202342.4% of 66 movements
Apr 202320.8% of 77 movements
May 202318.3% of 71 movements
Jun 202325.0% of 68 movements
Jul 202313.7% of 73 movements
Aug 202318.7% of 75 movements
Sep 202315.9% of 69 movements
Oct 202310.5% of 76 movements
Nov 202330.8% of 65 movements
Dec 202330.0% of 70 movements
Jan 202428.4% of 67 movements
Feb 202433.9% of 62 movements
Mar 202431.9% of 69 movements
Apr 202421.3% of 75 movements
May 202439.4% of 71 movements
Jun 202444.1% of 68 movements
Jul 202430.6% of 72 movements
Aug 202433.3% of 78 movements
Sep 202437.8% of 74 movements
Oct 202430.9% of 81 movements
Nov 202425.0% of 64 movements
Dec 202430.3% of 66 movements
Jan 202525.0% of 64 movements
Feb 202513.1% of 61 movements
Mar 202523.3% of 73 movements
Apr 202519.0% of 79 movements
May 202528.2% of 78 movements
Jun 202528.4% of 74 movements
Jul 202530.4% of 79 movements
Aug 202522.8% of 79 movements
Sep 202522.8% of 79 movements
Oct 202514.3% of 84 movements
Nov 202529.0% of 69 movements
Dec 202528.4% of 67 movements
Jan 202623.1% of 65 movements
Feb 202618.3% of 60 movements
Mar 202634.2% of 73 movements
Apr 202626.7% of 75 movements
May 202618.6% of 70 movements
Jun 202622.9% of 70 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 2022Arrivals13.7% of 73 movements13.3% across 711 flightsstill above it 8 months later
Summer 2022 breakdown · Jul 2022Departures11.0% of 73 movements7.4% across 715 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals18.7% of 75 movements23.1% across 841 flightsreturned the next month
NATS system failure · Aug 2023Departures25.3% of 75 movements18.8% across 830 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals23.3% of 73 movements30.2% across 843 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures24.7% of 73 movements25.9% across 843 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?

March has historically been the hardest month on this route: in a typical March, 31.9% of arrivals were disrupted, measured across 7 Marchs in the archive. February has been the calmest, at 18.3% across 7 Februarys.

Even March has ranged from 5.2% to 54.0% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201925.9% of 54 movements15.4% of 52 movements5.2% of 58 movements14.3% of 70 movements23.8% of 63 movements21.9% of 64 movements13.4% of 67 movements9.2% of 65 movements16.9% of 65 movements19.7% of 61 movements18.4% of 49 movements †36.8% of 57 movements202019.2% of 52 movements39.2% of 51 movements36.6% of 41 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements2.7% of 37 movements †14.9% of 47 movements †7.7% of 26 movements †no events in 26 movements †no events in 30 movements †16.1% of 31 movements †2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements6.2% of 32 movements †6.1% of 49 movements †1.9% of 53 movements10.5% of 57 movements23.8% of 63 movements15.9% of 63 movements202214.9% of 47 movements †13.3% of 60 movements9.9% of 71 movements18.4% of 76 movements21.1% of 71 movements17.4% of 69 movements13.7% of 73 movements13.5% of 74 movements24.6% of 69 movements25.0% of 80 movements22.7% of 66 movements30.1% of 73 movements202316.4% of 67 movements24.6% of 57 movements42.4% of 66 movements20.8% of 77 movements18.3% of 71 movements25.0% of 68 movements13.7% of 73 movements18.7% of 75 movements15.9% of 69 movements10.5% of 76 movements30.8% of 65 movements30.0% of 70 movements202428.4% of 67 movements33.9% of 62 movements31.9% of 69 movements21.3% of 75 movements39.4% of 71 movements44.1% of 68 movements30.6% of 72 movements33.3% of 78 movements37.8% of 74 movements30.9% of 81 movements25.0% of 64 movements30.3% of 66 movements202525.0% of 64 movements13.1% of 61 movements23.3% of 73 movements19.0% of 79 movements28.2% of 78 movements28.4% of 74 movements30.4% of 79 movements22.8% of 79 movements22.8% of 79 movements14.3% of 84 movements29.0% of 69 movements28.4% of 67 movements202623.1% of 65 movements18.3% of 60 movements34.2% of 73 movements26.7% of 75 movements18.6% of 70 movements22.9% of 70 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan23.1%14.9–28.4%7 months, 415 flights
Feb18.3%13.1–36.4%7 months, 396 flights
Mar31.9%5.2–54.0%7 months, 460 flights
Apr20.8%14.3–27.6%7 months, 510 flights
May23.8%18.3–62.3%7 months, 477 flights
Jun22.9%13.7–44.1%7 months, 464 flights
Jul21.4%13.4–30.6%6 months, 419 flights
Aug20.7%9.2–42.3%6 months, 442 flights
Sep23.7%15.9–43.5%6 months, 425 flights
Oct22.3%10.5–41.7%6 months, 454 flights
Nov27.0%18.4–40.4%6 months, 365 flights
Dec30.1%27.8–36.8%6 months, 387 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: Ryanair 22.0% of 449 movements, Jet2.Com 26.7% of 420 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 optionJet2.Com26.7% of 420 flightsRyanair22.0% of 449 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Easyjet Airlinesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Uksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jet2.Com42026.7% of 420 movements0.2% of 420 movements1.0% of 420 movementsdescriptive comparison
Ryanair44922.0% of 449 movementsno events in 449 movements0.9% of 449 movementsdescriptive comparison
Ryanair Uksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Thomas Cook Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Tui Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

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, SEN had the lowest disruption share at 21.0% of 62 movements and CWL the highest at 51.9% of 104 movements. This route sits at 24.3% of 870 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 optionBfs ↔ Arrecife24.7% of 518 flightsBhx ↔ Arrecife27.6% of 782 flightsBoh ↔ Arrecife22.4% of 277 flightsBrs ↔ Arrecife31.2% of 811 flightsCwl ↔ Arrecife51.9% of 104 flightsEdi ↔ Arrecife37.3% of 644 flightsEma ↔ Arrecife32.1% of 677 flightsExt ↔ Arrecife38.3% of 94 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Arrecife51824.7% of 518 movementsno events in 518 movements0.8% of 518 movementsdescriptive comparison
Bhx ↔ Arrecife78227.6% of 782 movementsno events in 782 movements0.9% of 782 movementsdescriptive comparison
Boh ↔ Arrecife27722.4% of 277 movements0.4% of 277 movementsno events in 277 movementsdescriptive comparison
Brs ↔ Arrecife81131.2% of 811 movementsno events in 811 movements0.2% of 811 movementsdescriptive comparison
Cwl ↔ Arrecife10451.9% of 104 movementsno events in 104 movements1.9% of 104 movementsdescriptive comparison
Doncaster-Sheffield ↔ Arrecifesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Arrecife64437.3% of 644 movements0.6% of 644 movementsno events in 644 movementsdescriptive comparison
Ema ↔ Arrecife67732.1% of 677 movements0.3% of 677 movements0.4% of 677 movementsdescriptive comparison
Ext ↔ Arrecife9438.3% of 94 movementsno events in 94 movementsno events in 94 movementsdescriptive comparison
Gla ↔ Arrecife43834.9% of 438 movementsno events in 438 movements1.4% of 438 movementsdescriptive comparison
Iom ↔ Arrecifesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jer ↔ Arrecifesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Arrecife46621.5% of 466 movements0.2% of 466 movements0.6% of 466 movementsdescriptive comparison
Lgw ↔ Arrecife1,40939.5% of 1,409 movements0.6% of 1,409 movements0.7% of 1,409 movementsdescriptive comparison
Lhr ↔ Arrecifesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ Arrecife58524.8% of 585 movements0.2% of 585 movements0.2% of 585 movementsdescriptive comparison
Ltn ↔ Arrecife50236.3% of 502 movements0.6% of 502 movements0.6% of 502 movementsdescriptive comparison
Man ↔ Arrecife1,47440.9% of 1,474 movements0.3% of 1,474 movements0.3% of 1,474 movementsdescriptive comparison
Mme ↔ Arrecifesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ Arrecife52231.4% of 522 movementsno events in 522 movements0.6% of 522 movementsdescriptive comparison
Sen ↔ Arrecife6221.0% of 62 movementsno events in 62 movementsno events in 62 movementsdescriptive comparison

Does the direction you are flying change anything?

Barely: arrivals into STN ran 24.3% of 870 movements disrupted, departures 24.0% of 866 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 STN24.3% of 870 movements0.1% of 870 movements0.9% of 870 movements
Departures from STN24.0% of 866 movementsno events in 866 movements0.1% of 866 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 202639 flights out of 5,91939 × £350 = £13,650
ArrivalsLast 72 months · Jul 2020–Jun 202625 flights out of 4,36925 × £350 = £8,750
DeparturesWhole archive · Jan 2018–Jun 202616 flights out of 5,89416 × £350 = £5,600
DeparturesLast 72 months · Jul 2020–Jun 20267 flights out of 4,3547 × £350 = £2,450
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 airportSTANSTED · STN
Final point / countryARRECIFE / SPAIN(CANARY ISLANDS)
Final point codesACE / GCRR
Great-circle distance2,796 km
Maximum statutory amount for the band£350
Average operated arrivals per day2.38
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 archive99

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: 870; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

24.3% of 870 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.1% of 870 movements in the same window.

How many delays crossed three hours?

0.9% of 870 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?

2,796 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.

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Reconstruction and formulas

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