UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

STN ↔ CORK

In the twelve months from July 2025 to June 2026, 22.3% of 1,020 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, 77.7% of 1,020 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 113 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, 22.3% of 1,020 movements were disrupted and 0.1% of 1,020 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
22.3% of 1,020 movements0.1% of 1,020 movements32.0–65.7 min; N of delayed flights=226–4331,020
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 1,020 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 min22.2%30 min13.9%60 min7.2%120 min1.6%180 min0.9%360 min0.2%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min22.2% of 1,020 movements2264.5
>30 min13.9% of 1,020 movements1427.2
>60 min7.2% of 1,020 movements7314.0
>120 min1.6% of 1,020 movements1663.8
>180 min0.9% of 1,020 movements9113.3
>360 min0.2% of 1,020 movements2510.0
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 early22221.8%15–1 early36435.7%0–15 late20720.3%16–30848.2%31–60696.8%61…120575.6%121…18070.7%181…36070.7%>36020.2%D=1,020
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0588; 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, 2.0% of 50 movements. Worst month: Dec 2022, 43.8% of 80 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: 18.9%; sample: 902018Feb 2018: 17.5%; sample: 80Mar 2018: 22.2%; sample: 90Apr 2018: 18.9%; sample: 90May 2018: 25.8%; sample: 93Jun 2018: 28.9%; sample: 90Jul 2018: 39.8%; sample: 93Aug 2018: 32.3%; sample: 93Sep 2018: 10.0%; sample: 90Oct 2018: 10.8%; sample: 93Nov 2018: 15.1%; sample: 86Dec 2018: 24.4%; sample: 86Jan 2019: 11.2%; sample: 892019Feb 2019: 16.2%; sample: 80Mar 2019: 5.7%; sample: 88Apr 2019: 5.6%; sample: 90May 2019: 5.4%; sample: 93Jun 2019: 7.8%; sample: 90Jul 2019: 3.2%; sample: 93Aug 2019: 9.7%; sample: 93Sep 2019: 7.8%; sample: 90Oct 2019: 3.2%; sample: 93Nov 2019: 5.8%; sample: 86Dec 2019: 15.1%; sample: 86Jan 2020: 7.8%; sample: 902020Feb 2020: 18.3%; sample: 82Mar 2020: 21.3%; sample: 75Apr 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: 2.0%; sample: 50Sep 2020: 0.0%; sample: 30Oct 2020: 6.5%; sample: 31Nov 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: suppressed: fewer than twenty movements×Jun 2021: 3.3%; sample: 30Jul 2021: 19.4%; sample: 31Aug 2021: 12.9%; sample: 31Sep 2021: suppressed: fewer than twenty movements×Oct 2021: suppressed: fewer than twenty movements×Nov 2021: suppressed: fewer than twenty movements×Dec 2021: 15.7%; sample: 70Jan 2022: 2.0%; sample: 502022Feb 2022: 19.6%; sample: 56Mar 2022: 7.9%; sample: 76Apr 2022: 36.4%; sample: 77May 2022: 23.8%; sample: 80Jun 2022: 40.7%; sample: 86Jul 2022: 38.6%; sample: 88Aug 2022: 36.0%; sample: 89Sep 2022: 39.5%; sample: 86Oct 2022: 39.5%; sample: 81Nov 2022: 22.1%; sample: 77Dec 2022: 43.8%; sample: 80Jan 2023: 17.5%; sample: 802023Feb 2023: 17.6%; sample: 68Mar 2023: 25.6%; sample: 78Apr 2023: 20.0%; sample: 85May 2023: 19.1%; sample: 89Jun 2023: 27.9%; sample: 86Jul 2023: 35.2%; sample: 88Aug 2023: 29.2%; sample: 89Sep 2023: 22.4%; sample: 85Oct 2023: 24.7%; sample: 89Nov 2023: 20.3%; sample: 69Dec 2023: 38.7%; sample: 75Jan 2024: 32.1%; sample: 782024Feb 2024: 25.8%; sample: 66Mar 2024: 16.7%; sample: 72Apr 2024: 20.9%; sample: 86May 2024: 22.5%; sample: 89Jun 2024: 32.9%; sample: 85Jul 2024: 33.7%; sample: 89Aug 2024: 31.5%; sample: 89Sep 2024: 32.9%; sample: 85Oct 2024: 30.6%; sample: 85Nov 2024: 30.6%; sample: 72Dec 2024: 41.0%; sample: 78Jan 2025: 36.7%; sample: 602025Feb 2025: 21.9%; sample: 64Mar 2025: 21.6%; sample: 74Apr 2025: 16.7%; sample: 90May 2025: 12.0%; sample: 92Jun 2025: 19.6%; sample: 92Jul 2025: 31.5%; sample: 92Aug 2025: 16.0%; sample: 94Sep 2025: 24.4%; sample: 90Oct 2025: 20.7%; sample: 92Nov 2025: 21.8%; sample: 78Dec 2025: 23.8%; sample: 84Jan 2026: 13.8%; sample: 582026Feb 2026: 13.3%; sample: 75Mar 2026: 20.2%; sample: 84Apr 2026: 21.1%; sample: 90May 2026: 22.6%; sample: 93Jun 2026: 33.3%; sample: 90Pandemic 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 201818.9% of 90 movements
Feb 201817.5% of 80 movements
Mar 201822.2% of 90 movements
Apr 201818.9% of 90 movements
May 201825.8% of 93 movements
Jun 201828.9% of 90 movements
Jul 201839.8% of 93 movements
Aug 201832.3% of 93 movements
Sep 201810.0% of 90 movements
Oct 201810.8% of 93 movements
Nov 201815.1% of 86 movements
Dec 201824.4% of 86 movements
Jan 201911.2% of 89 movements
Feb 201916.2% of 80 movements
Mar 20195.7% of 88 movements
Apr 20195.6% of 90 movements
May 20195.4% of 93 movements
Jun 20197.8% of 90 movements
Jul 20193.2% of 93 movements
Aug 20199.7% of 93 movements
Sep 20197.8% of 90 movements
Oct 20193.2% of 93 movements
Nov 20195.8% of 86 movements
Dec 201915.1% of 86 movements
Jan 20207.8% of 90 movements
Feb 202018.3% of 82 movements
Mar 202021.3% of 75 movements
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 20202.0% of 50 movements
Sep 2020no events in 30 movements — small sample, not ranked
Oct 20206.5% of 31 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 2021suppressed: fewer than twenty movements
Jun 20213.3% of 30 movements — small sample, not ranked
Jul 202119.4% of 31 movements — small sample, not ranked
Aug 202112.9% of 31 movements — small sample, not ranked
Sep 2021suppressed: fewer than twenty movements
Oct 2021suppressed: fewer than twenty movements
Nov 2021suppressed: fewer than twenty movements
Dec 202115.7% of 70 movements
Jan 20222.0% of 50 movements
Feb 202219.6% of 56 movements
Mar 20227.9% of 76 movements
Apr 202236.4% of 77 movements
May 202223.8% of 80 movements
Jun 202240.7% of 86 movements
Jul 202238.6% of 88 movements
Aug 202236.0% of 89 movements
Sep 202239.5% of 86 movements
Oct 202239.5% of 81 movements
Nov 202222.1% of 77 movements
Dec 202243.8% of 80 movements
Jan 202317.5% of 80 movements
Feb 202317.6% of 68 movements
Mar 202325.6% of 78 movements
Apr 202320.0% of 85 movements
May 202319.1% of 89 movements
Jun 202327.9% of 86 movements
Jul 202335.2% of 88 movements
Aug 202329.2% of 89 movements
Sep 202322.4% of 85 movements
Oct 202324.7% of 89 movements
Nov 202320.3% of 69 movements
Dec 202338.7% of 75 movements
Jan 202432.1% of 78 movements
Feb 202425.8% of 66 movements
Mar 202416.7% of 72 movements
Apr 202420.9% of 86 movements
May 202422.5% of 89 movements
Jun 202432.9% of 85 movements
Jul 202433.7% of 89 movements
Aug 202431.5% of 89 movements
Sep 202432.9% of 85 movements
Oct 202430.6% of 85 movements
Nov 202430.6% of 72 movements
Dec 202441.0% of 78 movements
Jan 202536.7% of 60 movements
Feb 202521.9% of 64 movements
Mar 202521.6% of 74 movements
Apr 202516.7% of 90 movements
May 202512.0% of 92 movements
Jun 202519.6% of 92 movements
Jul 202531.5% of 92 movements
Aug 202516.0% of 94 movements
Sep 202524.4% of 90 movements
Oct 202520.7% of 92 movements
Nov 202521.8% of 78 movements
Dec 202523.8% of 84 movements
Jan 202613.8% of 58 movements
Feb 202613.3% of 75 movements
Mar 202620.2% of 84 movements
Apr 202621.1% of 90 movements
May 202622.6% of 93 movements
Jun 202633.3% of 90 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 2022Arrivals38.6% of 88 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures38.6% of 88 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals29.2% of 89 movements28.7% across 987 flightsreturned the next month
NATS system failure · Aug 2023Departures38.2% of 89 movements30.3% across 987 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals21.6% of 74 movements29.3% across 954 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures20.3% of 74 movements31.3% across 958 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, 34.5% of arrivals were disrupted, measured across 6 Julys in the archive. January has been the calmest, at 17.5% across 7 Januarys.

Even July has ranged from 3.2% to 39.8% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201911.2% of 89 movements16.2% of 80 movements5.7% of 88 movements5.6% of 90 movements5.4% of 93 movements7.8% of 90 movements3.2% of 93 movements9.7% of 93 movements7.8% of 90 movements3.2% of 93 movements5.8% of 86 movements15.1% of 86 movements20207.8% of 90 movements18.3% of 82 movements21.3% of 75 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno events in 31 movements †2.0% of 50 movementsno events in 30 movements †6.5% of 31 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 movementssuppressed: fewer than twenty movements3.3% of 30 movements †19.4% of 31 movements †12.9% of 31 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements15.7% of 70 movements20222.0% of 50 movements19.6% of 56 movements7.9% of 76 movements36.4% of 77 movements23.8% of 80 movements40.7% of 86 movements38.6% of 88 movements36.0% of 89 movements39.5% of 86 movements39.5% of 81 movements22.1% of 77 movements43.8% of 80 movements202317.5% of 80 movements17.6% of 68 movements25.6% of 78 movements20.0% of 85 movements19.1% of 89 movements27.9% of 86 movements35.2% of 88 movements29.2% of 89 movements22.4% of 85 movements24.7% of 89 movements20.3% of 69 movements38.7% of 75 movements202432.1% of 78 movements25.8% of 66 movements16.7% of 72 movements20.9% of 86 movements22.5% of 89 movements32.9% of 85 movements33.7% of 89 movements31.5% of 89 movements32.9% of 85 movements30.6% of 85 movements30.6% of 72 movements41.0% of 78 movements202536.7% of 60 movements21.9% of 64 movements21.6% of 74 movements16.7% of 90 movements12.0% of 92 movements19.6% of 92 movements31.5% of 92 movements16.0% of 94 movements24.4% of 90 movements20.7% of 92 movements21.8% of 78 movements23.8% of 84 movements202613.8% of 58 movements13.3% of 75 movements20.2% of 84 movements21.1% of 90 movements22.6% of 93 movements33.3% of 90 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan17.5%2.0–36.7%7 months, 505 flights
Feb17.6%13.3–25.8%7 months, 489 flights
Mar20.2%5.7–25.6%7 months, 562 flights
Apr20.0%5.6–36.4%7 months, 608 flights
May22.5%5.4–25.8%7 months, 629 flights
Jun28.9%7.8–40.7%7 months, 619 flights
Jul34.5%3.2–39.8%6 months, 543 flights
Aug30.3%9.7–36.0%6 months, 547 flights
Sep23.4%7.8–39.5%6 months, 526 flights
Oct22.7%3.2–39.5%6 months, 533 flights
Nov21.0%5.8–30.6%6 months, 468 flights
Dec31.5%15.1–43.8%6 months, 489 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 20.8% of 955 movements, Ryanair Uk 43.1% of 65 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 optionRyanair20.8% of 955 flightsRyanair Uk43.1% of 65 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Ryanair95520.8% of 955 movements0.1% of 955 movements0.7% of 955 movementsdescriptive comparison
Ryanair Uk6543.1% of 65 movementsno events in 65 movements3.1% of 65 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, LGW had the lowest disruption share at 9.9% of 363 movements and LTN the highest at 36.5% of 260 movements. This route sits at 22.3% of 1,020 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 ↔ Cork21.2% of 250 flightsBrs ↔ Cork19.0% of 464 flightsEdi ↔ Cork32.0% of 438 flightsGla ↔ Cork20.9% of 220 flightsLgw ↔ Cork9.9% of 363 flightsLhr ↔ Cork13.4% of 1,455 flightsLpl ↔ Cork15.2% of 230 flightsLtn ↔ Cork36.5% of 260 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Corksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Corksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Corksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Cork25021.2% of 250 movementsno events in 250 movements0.4% of 250 movementsdescriptive comparison
Boh ↔ Corksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Cork46419.0% of 464 movements2.2% of 464 movements1.3% of 464 movementsdescriptive comparison
Cwl ↔ Corksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Corksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Durham-Tees-Valley ↔ Corksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Cork43832.0% of 438 movementsno events in 438 movements0.2% of 438 movementsdescriptive comparison
Ema ↔ Corksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Corksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Cork22020.9% of 220 movements2.3% of 220 movementsno events in 220 movementsdescriptive comparison
Iom ↔ Corksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jer ↔ Corksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Corksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lcy ↔ Corksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Cork3639.9% of 363 movementsno events in 363 movements0.3% of 363 movementsdescriptive comparison
Lhr ↔ Cork1,45513.4% of 1,455 movements0.7% of 1,455 movements0.1% of 1,455 movementsdescriptive comparison
Lpl ↔ Cork23015.2% of 230 movementsno events in 230 movements0.4% of 230 movementsdescriptive comparison
Ltn ↔ Cork26036.5% of 260 movementsno events in 260 movements0.8% of 260 movementsdescriptive comparison
Man ↔ Cork69820.1% of 698 movements0.1% of 698 movements0.4% of 698 movementsdescriptive comparison
Ncl ↔ Corksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sou ↔ Corksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

Does the direction you are flying change anything?

Yes: arrivals into STN ran 22.3% of 1,020 movements disrupted, departures 26.3% of 1,025 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 STN22.3% of 1,020 movements0.1% of 1,020 movements0.9% of 1,020 movements
Departures from STN26.3% of 1,025 movementsno events in 1,025 movements0.7% of 1,025 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 202675 flights out of 7,18175 × £220 = £16,500
ArrivalsLast 72 months · Jul 2020–Jun 202636 flights out of 4,73636 × £220 = £7,920
DeparturesWhole archive · Jan 2018–Jun 202631 flights out of 7,18731 × £220 = £6,820
DeparturesLast 72 months · Jul 2020–Jun 202622 flights out of 4,74022 × £220 = £4,840
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 / countryCORK / IRISH REPUBLIC
Final point codesORK / EICK
Great-circle distance599 km
Maximum statutory amount for the band£220
Average operated arrivals per day2.79
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: 1,020; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

22.3% of 1,020 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 1,020 movements in the same window.

How many delays crossed three hours?

0.9% of 1,020 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?

599 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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