UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

STN ↔ PISA

In the twelve months from July 2025 to June 2026, 34.8% of 975 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, 65.2% of 975 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 162 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, 34.8% of 975 movements were disrupted and 0.2% of 975 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
34.8% of 975 movements0.2% of 975 movements33.4–59.6 min; N of delayed flights=337–572975
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: 0.2% of 975 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 min34.6%30 min20.9%60 min10.1%120 min2.5%180 min0.6%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min34.6% of 975 movements3372.9
>30 min20.9% of 975 movements2044.8
>60 min10.1% of 975 movements989.9
>120 min2.5% of 975 movements2440.6
>180 min0.6% of 975 movements6162.5
>360 minno events in 975 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 early14314.7%15–1 early25826.5%0–15 late23524.1%16–3013313.6%31–6010610.9%61…120747.6%121…180181.8%181…36060.6%>36000.0%D=975
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0251; 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: Aug 2020, 3.2% of 62 movements. Worst month: Jul 2024, 61.5% of 96 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: 29.5%; sample: 442018Feb 2018: 19.5%; sample: 41Mar 2018: 24.1%; sample: 58Apr 2018: 18.7%; sample: 91May 2018: 21.5%; sample: 93Jun 2018: 34.8%; sample: 89Jul 2018: 45.7%; sample: 94Aug 2018: 32.3%; sample: 93Sep 2018: 16.5%; sample: 91Oct 2018: 16.9%; sample: 89Nov 2018: 6.6%; sample: 61Dec 2018: 26.3%; sample: 57Jan 2019: 11.3%; sample: 622019Feb 2019: 14.3%; sample: 56Mar 2019: 15.9%; sample: 63Apr 2019: 8.9%; sample: 90May 2019: 10.8%; sample: 93Jun 2019: 7.8%; sample: 90Jul 2019: 17.2%; sample: 93Aug 2019: 18.3%; sample: 93Sep 2019: 11.1%; sample: 90Oct 2019: 9.8%; sample: 92Nov 2019: 10.6%; sample: 66Dec 2019: 20.0%; sample: 60Jan 2020: 15.4%; sample: 652020Feb 2020: 17.2%; sample: 58Mar 2020: 14.3%; sample: 28Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 0.0%; sample: 31Aug 2020: 3.2%; sample: 62Sep 2020: 0.0%; sample: 42Oct 2020: 4.0%; sample: 25Nov 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: suppressed: fewer than twenty movements×May 2021: no data×Jun 2021: 16.0%; sample: 25Jul 2021: 38.2%; sample: 55Aug 2021: 36.0%; sample: 75Sep 2021: 50.0%; sample: 72Oct 2021: 61.3%; sample: 75Nov 2021: 6.7%; sample: 30Dec 2021: 25.7%; sample: 35Jan 2022: 17.4%; sample: 232022Feb 2022: 25.0%; sample: 36Mar 2022: 16.7%; sample: 48Apr 2022: 29.1%; sample: 86May 2022: 23.9%; sample: 92Jun 2022: 45.6%; sample: 90Jul 2022: 46.7%; sample: 92Aug 2022: 40.9%; sample: 93Sep 2022: 50.0%; sample: 86Oct 2022: 33.7%; sample: 86Nov 2022: 23.7%; sample: 38Dec 2022: 51.2%; sample: 41Jan 2023: 32.6%; sample: 432023Feb 2023: 33.3%; sample: 36Mar 2023: 52.0%; sample: 50Apr 2023: 32.2%; sample: 90May 2023: 30.1%; sample: 93Jun 2023: 40.5%; sample: 79Jul 2023: 43.0%; sample: 93Aug 2023: 37.6%; sample: 93Sep 2023: 33.3%; sample: 96Oct 2023: 25.8%; sample: 97Nov 2023: 47.6%; sample: 42Dec 2023: 37.8%; sample: 45Jan 2024: 26.1%; sample: 462024Feb 2024: 25.0%; sample: 40Mar 2024: 28.8%; sample: 52Apr 2024: 27.3%; sample: 77May 2024: 44.3%; sample: 79Jun 2024: 47.4%; sample: 95Jul 2024: 61.5%; sample: 96Aug 2024: 52.0%; sample: 98Sep 2024: 51.1%; sample: 90Oct 2024: 33.7%; sample: 92Nov 2024: 17.5%; sample: 57Dec 2024: 31.1%; sample: 61Jan 2025: 15.7%; sample: 512025Feb 2025: 12.5%; sample: 56Mar 2025: 12.5%; sample: 64Apr 2025: 28.4%; sample: 95May 2025: 42.3%; sample: 97Jun 2025: 59.4%; sample: 96Jul 2025: 61.4%; sample: 101Aug 2025: 49.5%; sample: 103Sep 2025: 57.8%; sample: 90Oct 2025: 44.0%; sample: 91Nov 2025: 10.0%; sample: 60Dec 2025: 18.2%; sample: 66Jan 2026: 14.9%; sample: 472026Feb 2026: 10.0%; sample: 60Mar 2026: 11.9%; sample: 67Apr 2026: 19.1%; sample: 94May 2026: 34.0%; sample: 97Jun 2026: 44.4%; sample: 99Pandemic 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 201829.5% of 44 movements — small sample, not ranked
Feb 201819.5% of 41 movements — small sample, not ranked
Mar 201824.1% of 58 movements
Apr 201818.7% of 91 movements
May 201821.5% of 93 movements
Jun 201834.8% of 89 movements
Jul 201845.7% of 94 movements
Aug 201832.3% of 93 movements
Sep 201816.5% of 91 movements
Oct 201816.9% of 89 movements
Nov 20186.6% of 61 movements
Dec 201826.3% of 57 movements
Jan 201911.3% of 62 movements
Feb 201914.3% of 56 movements
Mar 201915.9% of 63 movements
Apr 20198.9% of 90 movements
May 201910.8% of 93 movements
Jun 20197.8% of 90 movements
Jul 201917.2% of 93 movements
Aug 201918.3% of 93 movements
Sep 201911.1% of 90 movements
Oct 20199.8% of 92 movements
Nov 201910.6% of 66 movements
Dec 201920.0% of 60 movements
Jan 202015.4% of 65 movements
Feb 202017.2% of 58 movements
Mar 202014.3% of 28 movements — small sample, not ranked
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 2020no events in 31 movements — small sample, not ranked
Aug 20203.2% of 62 movements
Sep 2020no events in 42 movements — small sample, not ranked
Oct 20204.0% of 25 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 2021suppressed: fewer than twenty movements
May 2021no data
Jun 202116.0% of 25 movements — small sample, not ranked
Jul 202138.2% of 55 movements
Aug 202136.0% of 75 movements
Sep 202150.0% of 72 movements
Oct 202161.3% of 75 movements
Nov 20216.7% of 30 movements — small sample, not ranked
Dec 202125.7% of 35 movements — small sample, not ranked
Jan 202217.4% of 23 movements — small sample, not ranked
Feb 202225.0% of 36 movements — small sample, not ranked
Mar 202216.7% of 48 movements — small sample, not ranked
Apr 202229.1% of 86 movements
May 202223.9% of 92 movements
Jun 202245.6% of 90 movements
Jul 202246.7% of 92 movements
Aug 202240.9% of 93 movements
Sep 202250.0% of 86 movements
Oct 202233.7% of 86 movements
Nov 202223.7% of 38 movements — small sample, not ranked
Dec 202251.2% of 41 movements — small sample, not ranked
Jan 202332.6% of 43 movements — small sample, not ranked
Feb 202333.3% of 36 movements — small sample, not ranked
Mar 202352.0% of 50 movements
Apr 202332.2% of 90 movements
May 202330.1% of 93 movements
Jun 202340.5% of 79 movements
Jul 202343.0% of 93 movements
Aug 202337.6% of 93 movements
Sep 202333.3% of 96 movements
Oct 202325.8% of 97 movements
Nov 202347.6% of 42 movements — small sample, not ranked
Dec 202337.8% of 45 movements — small sample, not ranked
Jan 202426.1% of 46 movements — small sample, not ranked
Feb 202425.0% of 40 movements — small sample, not ranked
Mar 202428.8% of 52 movements
Apr 202427.3% of 77 movements
May 202444.3% of 79 movements
Jun 202447.4% of 95 movements
Jul 202461.5% of 96 movements
Aug 202452.0% of 98 movements
Sep 202451.1% of 90 movements
Oct 202433.7% of 92 movements
Nov 202417.5% of 57 movements
Dec 202431.1% of 61 movements
Jan 202515.7% of 51 movements
Feb 202512.5% of 56 movements
Mar 202512.5% of 64 movements
Apr 202528.4% of 95 movements
May 202542.3% of 97 movements
Jun 202559.4% of 96 movements
Jul 202561.4% of 101 movements
Aug 202549.5% of 103 movements
Sep 202557.8% of 90 movements
Oct 202544.0% of 91 movements
Nov 202510.0% of 60 movements
Dec 202518.2% of 66 movements
Jan 202614.9% of 47 movements — small sample, not ranked
Feb 202610.0% of 60 movements
Mar 202611.9% of 67 movements
Apr 202619.1% of 94 movements
May 202634.0% of 97 movements
Jun 202644.4% of 99 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 2022Arrivals46.7% of 92 movements31.3% across 717 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures56.5% of 92 movements21.1% across 718 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals37.6% of 93 movements38.6% across 828 flightsreturned the next month
NATS system failure · Aug 2023Departures49.5% of 93 movements46.0% across 831 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals12.5% of 64 movements35.2% across 904 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures18.5% of 65 movements47.3% across 904 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?

July has historically been the hardest month on this route: in a typical July, 46.2% of arrivals were disrupted, measured across 6 Julys in the archive. November has been the calmest, at 14.1% across 6 Novembers.

Even July has ranged from 17.2% to 61.5% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201911.3% of 62 movements14.3% of 56 movements15.9% of 63 movements8.9% of 90 movements10.8% of 93 movements7.8% of 90 movements17.2% of 93 movements18.3% of 93 movements11.1% of 90 movements9.8% of 92 movements10.6% of 66 movements20.0% of 60 movements202015.4% of 65 movements17.2% of 58 movements14.3% of 28 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno events in 31 movements †3.2% of 62 movementsno events in 42 movements †4.0% of 25 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno data16.0% of 25 movements †38.2% of 55 movements36.0% of 75 movements50.0% of 72 movements61.3% of 75 movements6.7% of 30 movements †25.7% of 35 movements †202217.4% of 23 movements †25.0% of 36 movements †16.7% of 48 movements †29.1% of 86 movements23.9% of 92 movements45.6% of 90 movements46.7% of 92 movements40.9% of 93 movements50.0% of 86 movements33.7% of 86 movements23.7% of 38 movements †51.2% of 41 movements †202332.6% of 43 movements †33.3% of 36 movements †52.0% of 50 movements32.2% of 90 movements30.1% of 93 movements40.5% of 79 movements43.0% of 93 movements37.6% of 93 movements33.3% of 96 movements25.8% of 97 movements47.6% of 42 movements †37.8% of 45 movements †202426.1% of 46 movements †25.0% of 40 movements †28.8% of 52 movements27.3% of 77 movements44.3% of 79 movements47.4% of 95 movements61.5% of 96 movements52.0% of 98 movements51.1% of 90 movements33.7% of 92 movements17.5% of 57 movements31.1% of 61 movements202515.7% of 51 movements12.5% of 56 movements12.5% of 64 movements28.4% of 95 movements42.3% of 97 movements59.4% of 96 movements61.4% of 101 movements49.5% of 103 movements57.8% of 90 movements44.0% of 91 movements10.0% of 60 movements18.2% of 66 movements202614.9% of 47 movements †10.0% of 60 movements11.9% of 67 movements19.1% of 94 movements34.0% of 97 movements44.4% of 99 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan17.4%11.3–32.6%7 months, 316 flights
Feb19.5%10.0–33.3%7 months, 325 flights
Mar16.7%11.9–52.0%7 months, 402 flights
Apr27.3%8.9–32.2%7 months, 623 flights
May30.1%10.8–44.3%7 months, 644 flights
Jun44.4%7.8–59.4%7 months, 638 flights
Jul46.2%17.2–61.5%6 months, 569 flights
Aug39.2%18.3–52.0%6 months, 573 flights
Sep41.7%11.1–57.8%6 months, 543 flights
Oct29.7%9.8–44.0%6 months, 547 flights
Nov14.1%6.6–47.6%6 months, 324 flights
Dec28.7%18.2–51.2%6 months, 330 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: Ryanair, 34.8% of 975 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 optionRyanair34.8% of 975 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Ba Cityflyersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
City Jetsuppressed: 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
Ryanair97534.8% of 975 movements0.2% of 975 movements0.6% of 975 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, SEN had the lowest disruption share at 18.6% of 59 movements and EDI the highest at 50.0% of 154 movements. This route sits at 34.8% of 975 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 optionBhx ↔ Pisa37.9% of 124 flightsBrs ↔ Pisa33.0% of 191 flightsEdi ↔ Pisa50.0% of 154 flightsLba ↔ Pisa †45.5% of 22 flightsLgw ↔ Pisa31.8% of 691 flightsLhr ↔ Pisa31.8% of 516 flightsLtn ↔ Pisa31.9% of 182 flightsMan ↔ Pisa44.5% of 512 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Pisasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Pisasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Pisa12437.9% of 124 movementsno events in 124 movements0.8% of 124 movementsdescriptive comparison
Brs ↔ Pisa19133.0% of 191 movementsno events in 191 movements0.5% of 191 movementsdescriptive comparison
Cwl ↔ Pisasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Pisa15450.0% of 154 movementsno events in 154 movements0.6% of 154 movementsdescriptive comparison
Ema ↔ Pisasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Pisasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Pisa2245.5% of 22 movements — small sample, not rankedno events in 22 movements — small sample, not rankedno events in 22 movements — small sample, not rankedsmall sample; not ranked
Lcy ↔ Pisasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Pisa69131.8% of 691 movements0.3% of 691 movements0.9% of 691 movementsdescriptive comparison
Lhr ↔ Pisa51631.8% of 516 movements1.0% of 516 movements1.7% of 516 movementsdescriptive comparison
Lpl ↔ Pisasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Pisa18231.9% of 182 movements0.5% of 182 movements0.5% of 182 movementsdescriptive comparison
Man ↔ Pisa51244.5% of 512 movements1.0% of 512 movements1.0% of 512 movementsdescriptive comparison
Ncl ↔ Pisasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sen ↔ Pisa5918.6% of 59 movementsno events in 59 movementsno events in 59 movementsdescriptive comparison

Does the direction you are flying change anything?

Barely: arrivals into STN ran 34.8% of 975 movements disrupted, departures 36.0% of 971 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 STN34.8% of 975 movements0.2% of 975 movements0.6% of 975 movements
Departures from STN36.0% of 971 movementsno events in 971 movements0.5% of 971 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 202665 flights out of 6,53265 × £220 = £14,300
ArrivalsLast 72 months · Jul 2020–Jun 202631 flights out of 4,53231 × £220 = £6,820
DeparturesWhole archive · Jan 2018–Jun 202645 flights out of 6,52245 × £220 = £9,900
DeparturesLast 72 months · Jul 2020–Jun 202634 flights out of 4,53634 × £220 = £7,480
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 / countryPISA / ITALY
Final point codesPSA / LIRP
Great-circle distance1,184 km
Maximum statutory amount for the band£220
Average operated arrivals per day2.67
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 archive97

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: 975; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

34.8% of 975 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.2% of 975 movements in the same window.

How many delays crossed three hours?

0.6% of 975 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?

1,184 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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