UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

STN ↔ MADRID

In the twelve months from July 2025 to June 2026, 33.7% of 1,400 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, 66.3% of 1,400 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 200 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, 33.7% of 1,400 movements were disrupted and no events in 1,400 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
33.7% of 1,400 movementsno events in 1,400 movements34.1–60.2 min; N of delayed flights=472–7911,400
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: no events in 1,400 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 min33.7%30 min21.4%60 min9.9%120 min2.4%180 min0.5%360 min0.1%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min33.7% of 1,400 movements4723.0
>30 min21.4% of 1,400 movements3004.7
>60 min9.9% of 1,400 movements13810.1
>120 min2.4% of 1,400 movements3342.4
>180 min0.5% of 1,400 movements7200.0
>360 min0.1% of 1,400 movements2700.0
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?

When this route runs late, it is usually only a little late: big blow-ups are rarer here than on the typical UK route.

The histogram below counts every recorded arrival, from more than fifteen minutes early through to more than six hours late. A tall bar near the middle and a thin right-hand tail is the healthy shape.

Nine delay buckets, minutes; share of all recorded operations>15 early17812.7%15–1 early43130.8%0–15 late31922.8%16–3017212.3%31–6016211.6%61…1201057.5%121…180261.9%181…36050.4%>36020.1%D=1,401
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0210; 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 2021, 4.8% of 84 movements. Worst month: Sep 2025, 73.3% of 86 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: 28.9%; sample: 972018Feb 2018: 30.7%; sample: 88Mar 2018: 33.3%; sample: 105Apr 2018: 18.3%; sample: 120May 2018: 28.2%; sample: 124Jun 2018: 32.5%; sample: 120Jul 2018: 40.5%; sample: 121Aug 2018: 33.9%; sample: 124Sep 2018: 14.4%; sample: 118Oct 2018: 22.6%; sample: 124Nov 2018: 15.8%; sample: 120Dec 2018: 23.9%; sample: 117Jan 2019: 19.7%; sample: 1222019Feb 2019: 13.4%; sample: 112Mar 2019: 18.7%; sample: 123Apr 2019: 30.0%; sample: 120May 2019: 27.0%; sample: 126Jun 2019: 34.1%; sample: 132Jul 2019: 40.5%; sample: 116Aug 2019: 25.2%; sample: 115Sep 2019: 35.1%; sample: 111Oct 2019: 17.2%; sample: 134Nov 2019: 19.2%; sample: 125Dec 2019: 34.7%; sample: 124Jan 2020: 10.2%; sample: 1272020Feb 2020: 20.7%; sample: 116Mar 2020: 23.8%; sample: 84Apr 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: 4.8%; sample: 62Sep 2020: 2.4%; sample: 42Oct 2020: suppressed: fewer than twenty movements×Nov 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: 0.0%; sample: 43Jul 2021: 13.6%; sample: 59Aug 2021: 4.8%; sample: 84Sep 2021: 12.3%; sample: 81Oct 2021: 9.4%; sample: 85Nov 2021: 14.6%; sample: 103Dec 2021: 11.1%; sample: 99Jan 2022: 11.0%; sample: 732022Feb 2022: 13.5%; sample: 96Mar 2022: 11.5%; sample: 104Apr 2022: 42.2%; sample: 90May 2022: 31.2%; sample: 93Jun 2022: 46.7%; sample: 92Jul 2022: 48.3%; sample: 89Aug 2022: 44.9%; sample: 89Sep 2022: 50.6%; sample: 85Oct 2022: 49.0%; sample: 96Nov 2022: 37.8%; sample: 119Dec 2022: 41.2%; sample: 119Jan 2023: 27.2%; sample: 1252023Feb 2023: 17.9%; sample: 112Mar 2023: 35.9%; sample: 117Apr 2023: 40.2%; sample: 92May 2023: 30.4%; sample: 92Jun 2023: 50.6%; sample: 89Jul 2023: 51.6%; sample: 93Aug 2023: 51.6%; sample: 93Sep 2023: 41.1%; sample: 90Oct 2023: 43.8%; sample: 96Nov 2023: 32.5%; sample: 120Dec 2023: 40.0%; sample: 120Jan 2024: 28.6%; sample: 1262024Feb 2024: 22.2%; sample: 117Mar 2024: 23.6%; sample: 123Apr 2024: 37.2%; sample: 86May 2024: 48.9%; sample: 92Jun 2024: 46.0%; sample: 100Jul 2024: 51.7%; sample: 89Aug 2024: 44.9%; sample: 89Sep 2024: 48.2%; sample: 85Oct 2024: 50.0%; sample: 76Nov 2024: 32.1%; sample: 137Dec 2024: 37.7%; sample: 138Jan 2025: 25.5%; sample: 1102025Feb 2025: 18.8%; sample: 128Mar 2025: 29.8%; sample: 141Apr 2025: 51.7%; sample: 89May 2025: 54.5%; sample: 88Jun 2025: 59.3%; sample: 86Jul 2025: 58.0%; sample: 88Aug 2025: 59.1%; sample: 88Sep 2025: 73.3%; sample: 86Oct 2025: 54.6%; sample: 97Nov 2025: 27.9%; sample: 140Dec 2025: 18.4%; sample: 136Jan 2026: 17.2%; sample: 1452026Feb 2026: 25.2%; sample: 127Mar 2026: 22.7%; sample: 141Apr 2026: 17.9%; sample: 117May 2026: 29.4%; sample: 119Jun 2026: 37.9%; sample: 116Pandemic 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 201828.9% of 97 movements
Feb 201830.7% of 88 movements
Mar 201833.3% of 105 movements
Apr 201818.3% of 120 movements
May 201828.2% of 124 movements
Jun 201832.5% of 120 movements
Jul 201840.5% of 121 movements
Aug 201833.9% of 124 movements
Sep 201814.4% of 118 movements
Oct 201822.6% of 124 movements
Nov 201815.8% of 120 movements
Dec 201823.9% of 117 movements
Jan 201919.7% of 122 movements
Feb 201913.4% of 112 movements
Mar 201918.7% of 123 movements
Apr 201930.0% of 120 movements
May 201927.0% of 126 movements
Jun 201934.1% of 132 movements
Jul 201940.5% of 116 movements
Aug 201925.2% of 115 movements
Sep 201935.1% of 111 movements
Oct 201917.2% of 134 movements
Nov 201919.2% of 125 movements
Dec 201934.7% of 124 movements
Jan 202010.2% of 127 movements
Feb 202020.7% of 116 movements
Mar 202023.8% of 84 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 20204.8% of 62 movements
Sep 20202.4% of 42 movements — small sample, not ranked
Oct 2020suppressed: fewer than twenty movements
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 2021no events in 43 movements — small sample, not ranked
Jul 202113.6% of 59 movements
Aug 20214.8% of 84 movements
Sep 202112.3% of 81 movements
Oct 20219.4% of 85 movements
Nov 202114.6% of 103 movements
Dec 202111.1% of 99 movements
Jan 202211.0% of 73 movements
Feb 202213.5% of 96 movements
Mar 202211.5% of 104 movements
Apr 202242.2% of 90 movements
May 202231.2% of 93 movements
Jun 202246.7% of 92 movements
Jul 202248.3% of 89 movements
Aug 202244.9% of 89 movements
Sep 202250.6% of 85 movements
Oct 202249.0% of 96 movements
Nov 202237.8% of 119 movements
Dec 202241.2% of 119 movements
Jan 202327.2% of 125 movements
Feb 202317.9% of 112 movements
Mar 202335.9% of 117 movements
Apr 202340.2% of 92 movements
May 202330.4% of 92 movements
Jun 202350.6% of 89 movements
Jul 202351.6% of 93 movements
Aug 202351.6% of 93 movements
Sep 202341.1% of 90 movements
Oct 202343.8% of 96 movements
Nov 202332.5% of 120 movements
Dec 202340.0% of 120 movements
Jan 202428.6% of 126 movements
Feb 202422.2% of 117 movements
Mar 202423.6% of 123 movements
Apr 202437.2% of 86 movements
May 202448.9% of 92 movements
Jun 202446.0% of 100 movements
Jul 202451.7% of 89 movements
Aug 202444.9% of 89 movements
Sep 202448.2% of 85 movements
Oct 202450.0% of 76 movements
Nov 202432.1% of 137 movements
Dec 202437.7% of 138 movements
Jan 202525.5% of 110 movements
Feb 202518.8% of 128 movements
Mar 202529.8% of 141 movements
Apr 202551.7% of 89 movements
May 202554.5% of 88 movements
Jun 202559.3% of 86 movements
Jul 202558.0% of 88 movements
Aug 202559.1% of 88 movements
Sep 202573.3% of 86 movements
Oct 202554.6% of 97 movements
Nov 202527.9% of 140 movements
Dec 202518.4% of 136 movements
Jan 202617.2% of 145 movements
Feb 202625.2% of 127 movements
Mar 202622.7% of 141 movements
Apr 202617.9% of 117 movements
May 202629.4% of 119 movements
Jun 202637.9% of 116 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 2022Arrivals48.3% of 89 movements18.5% across 1,059 flightsreturned after 7 months
Summer 2022 breakdown · Jul 2022Departures28.1% of 89 movements15.7% across 1,059 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals51.6% of 93 movements39.8% across 1,228 flightsreturned after 3 months
NATS system failure · Aug 2023Departures55.9% of 93 movements43.1% across 1,229 flightsreturned after 3 months
Heathrow fire closure · Mar 2025Arrivals29.8% of 141 movements38.7% across 1,253 flightsreturned after 8 months
Heathrow fire closure · Mar 2025Departures37.9% of 140 movements42.3% across 1,254 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, 50.0% of arrivals were disrupted, measured across 6 Julys in the archive. February has been the calmest, at 18.8% across 7 Februarys.

Even July has ranged from 40.5% to 58.0% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201919.7% of 122 movements13.4% of 112 movements18.7% of 123 movements30.0% of 120 movements27.0% of 126 movements34.1% of 132 movements40.5% of 116 movements25.2% of 115 movements35.1% of 111 movements17.2% of 134 movements19.2% of 125 movements34.7% of 124 movements202010.2% of 127 movements20.7% of 116 movements23.8% of 84 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno events in 31 movements †4.8% of 62 movements2.4% of 42 movements †suppressed: fewer than twenty movementssuppressed: 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 movementsno events in 43 movements †13.6% of 59 movements4.8% of 84 movements12.3% of 81 movements9.4% of 85 movements14.6% of 103 movements11.1% of 99 movements202211.0% of 73 movements13.5% of 96 movements11.5% of 104 movements42.2% of 90 movements31.2% of 93 movements46.7% of 92 movements48.3% of 89 movements44.9% of 89 movements50.6% of 85 movements49.0% of 96 movements37.8% of 119 movements41.2% of 119 movements202327.2% of 125 movements17.9% of 112 movements35.9% of 117 movements40.2% of 92 movements30.4% of 92 movements50.6% of 89 movements51.6% of 93 movements51.6% of 93 movements41.1% of 90 movements43.8% of 96 movements32.5% of 120 movements40.0% of 120 movements202428.6% of 126 movements22.2% of 117 movements23.6% of 123 movements37.2% of 86 movements48.9% of 92 movements46.0% of 100 movements51.7% of 89 movements44.9% of 89 movements48.2% of 85 movements50.0% of 76 movements32.1% of 137 movements37.7% of 138 movements202525.5% of 110 movements18.8% of 128 movements29.8% of 141 movements51.7% of 89 movements54.5% of 88 movements59.3% of 86 movements58.0% of 88 movements59.1% of 88 movements73.3% of 86 movements54.6% of 97 movements27.9% of 140 movements18.4% of 136 movements202617.2% of 145 movements25.2% of 127 movements22.7% of 141 movements17.9% of 117 movements29.4% of 119 movements37.9% of 116 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan25.5%11.0–28.9%7 months, 798 flights
Feb18.8%13.4–30.7%7 months, 780 flights
Mar23.6%11.5–35.9%7 months, 854 flights
Apr37.2%17.9–51.7%7 months, 714 flights
May30.4%27.0–54.5%7 months, 734 flights
Jun46.0%32.5–59.3%7 months, 735 flights
Jul50.0%40.5–58.0%6 months, 596 flights
Aug44.9%25.2–59.1%6 months, 598 flights
Sep44.7%14.4–73.3%6 months, 575 flights
Oct46.4%17.2–54.6%6 months, 623 flights
Nov30.0%15.8–37.8%6 months, 761 flights
Dec36.2%18.4–41.2%6 months, 754 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 33.7% of 1,371 movements, Ryanair Uk 35.7% of 28 movements — small sample, not ranked. Not enough comparable carriers.

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 optionRyanair33.7% of 1,371 flightsRyanair Uk †35.7% of 28 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
(Ita) Italia Traspoto Aereosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Air Europasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Air Onesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Enter Airsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Evelopsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Germania Fluggesellschaftsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Iberiasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Iberia Expresssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Italia Traspoto Aereosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jet2.Comsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Privilege Stylesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Pullmantur Airsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ryanair1,37133.7% of 1,371 movementsno events in 1,371 movements0.5% of 1,371 movementsdescriptive comparison
Ryanair Uk2835.7% of 28 movements — small sample, not rankedno events in 28 movements — small sample, not rankedno events in 28 movements — small sample, not rankedsmall sample; not ranked
Titan Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Wamos Airsuppressed: 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, LGW had the lowest disruption share at 15.3% of 1,953 movements and LTN the highest at 41.8% of 294 movements. This route sits at 33.7% of 1,400 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 ↔ Madrid22.5% of 258 flightsBrs ↔ Madrid30.2% of 500 flightsEdi ↔ Madrid34.1% of 737 flightsLcy ↔ Madrid34.6% of 318 flightsLgw ↔ Madrid15.3% of 1,953 flightsLhr ↔ Madrid21.0% of 4,795 flightsLpl ↔ Madrid37.4% of 107 flightsLtn ↔ Madrid41.8% of 294 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Madridsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Madridsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Madrid25822.5% of 258 movementsno events in 258 movements0.8% of 258 movementsdescriptive comparison
Boh ↔ Madridsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Madrid50030.2% of 500 movements0.8% of 500 movements1.2% of 500 movementsdescriptive comparison
Cwl ↔ Madridsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Madrid73734.1% of 737 movements0.4% of 737 movements0.7% of 737 movementsdescriptive comparison
Ema ↔ Madridsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Madridsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Madridsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jer ↔ Madridsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Madridsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lcy ↔ Madrid31834.6% of 318 movements0.3% of 318 movements1.6% of 318 movementsdescriptive comparison
Lgw ↔ Madrid1,95315.3% of 1,953 movements0.2% of 1,953 movements0.1% of 1,953 movementsdescriptive comparison
Lhr ↔ Madrid4,79521.0% of 4,795 movements0.8% of 4,795 movements0.2% of 4,795 movementsdescriptive comparison
Lpl ↔ Madrid10737.4% of 107 movementsno events in 107 movementsno events in 107 movementsdescriptive comparison
Ltn ↔ Madrid29441.8% of 294 movements0.3% of 294 movements0.7% of 294 movementsdescriptive comparison
Man ↔ Madrid90033.4% of 900 movements0.2% of 900 movements0.6% of 900 movementsdescriptive comparison
Ncl ↔ Madridsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sen ↔ Madridsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sou ↔ Madridsuppressed: 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 33.7% of 1,400 movements disrupted, departures 42.8% of 1,398 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 STN33.7% of 1,400 movementsno events in 1,400 movements0.5% of 1,400 movements
Departures from STN42.8% of 1,398 movementsno events in 1,398 movements0.5% of 1,398 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 9,62265 × £220 = £14,300
ArrivalsLast 72 months · Jul 2020–Jun 202637 flights out of 6,45237 × £220 = £8,140
DeparturesWhole archive · Jan 2018–Jun 202637 flights out of 9,62737 × £220 = £8,140
DeparturesLast 72 months · Jul 2020–Jun 202625 flights out of 6,45425 × £220 = £5,500
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 / countryMADRID / SPAIN
Final point codesMAD / LEMD
Great-circle distance1,300 km
Maximum statutory amount for the band£220
Average operated arrivals per day3.84
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 archive100

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: 1; all recorded operations: 1,401; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

33.7% of 1,400 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

no events in 1,400 movements in the same window.

How many delays crossed three hours?

0.5% of 1,400 movements in the same window; these are observed movements, not a count of claims.

What does the delay distribution look like?

chronically slightly late. The class compares the tail with short delays across routes in the corpus.

What distance is used?

1,300 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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