UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

STN ↔ MILAN MALPENSA

In the twelve months from July 2025 to June 2026, 35.2% of 1,037 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, 64.8% of 1,037 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 148 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, 35.2% of 1,037 movements were disrupted and 0.5% of 1,037 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
35.2% of 1,037 movements0.5% of 1,037 movements36.4–61.5 min; N of delayed flights=360–5801,037
Definitions, denominators and limits

The bounds account for CAA rounding and the unknown number of zero delays. A point average across all operated movements, including punctual ones, would answer a different question and is not used here.

When it is late, how late is it?

Most delays here are short. The ladder below shows how many arrivals crossed each threshold, from a quarter of an hour up to six hours; each rung can only be smaller than the one above it.

Cancellations are counted separately: 0.5% of 1,037 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 min34.7%30 min22.7%60 min10.4%120 min3.7%180 min0.7%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min34.7% of 1,037 movements3602.9
>30 min22.7% of 1,037 movements2354.4
>60 min10.4% of 1,037 movements1089.6
>120 min3.7% of 1,037 movements3827.3
>180 min0.7% of 1,037 movements7148.1
>360 minno events in 1,037 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 early13513.0%15–1 early31730.6%0–15 late22021.2%16–3012512.1%31–6012712.2%61…120706.8%121…180313.0%181…36070.7%>36000.0%D=1,037
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0278; 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: Mar 2022, 15.1% of 93 movements. Worst month: Jul 2023, 74.7% of 95 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: 61.1%; sample: 362018Feb 2018: 46.9%; sample: 32Mar 2018: 39.0%; sample: 41Apr 2018: 46.7%; sample: 60May 2018: 61.3%; sample: 62Jun 2018: 72.6%; sample: 62Jul 2018: 67.2%; sample: 64Aug 2018: 56.5%; sample: 62Sep 2018: 41.0%; sample: 61Oct 2018: 54.8%; sample: 62Nov 2018: 41.7%; sample: 60Dec 2018: 53.4%; sample: 58Jan 2019: 40.3%; sample: 622019Feb 2019: 37.5%; sample: 56Mar 2019: 24.2%; sample: 62Apr 2019: 28.3%; sample: 60May 2019: 17.7%; sample: 62Jun 2019: 33.3%; sample: 60Jul 2019: 27.6%; sample: 58Aug 2019: 29.8%; sample: 57Sep 2019: 28.1%; sample: 57Oct 2019: 34.4%; sample: 61Nov 2019: 32.9%; sample: 76Dec 2019: 45.5%; sample: 77Jan 2020: 28.2%; sample: 782020Feb 2020: 36.2%; sample: 80Mar 2020: 6.1%; sample: 33Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: suppressed: fewer than twenty movements×Aug 2020: 3.2%; sample: 31Sep 2020: 0.0%; sample: 29Oct 2020: 0.0%; sample: 30Nov 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: suppressed: fewer than twenty movements×Jul 2021: 10.3%; sample: 39Aug 2021: 17.0%; sample: 53Sep 2021: 19.6%; sample: 51Oct 2021: 23.6%; sample: 55Nov 2021: 15.6%; sample: 90Dec 2021: 24.1%; sample: 87Jan 2022: 24.5%; sample: 492022Feb 2022: 26.2%; sample: 84Mar 2022: 15.1%; sample: 93Apr 2022: 63.3%; sample: 90May 2022: 47.3%; sample: 93Jun 2022: 57.5%; sample: 87Jul 2022: 71.4%; sample: 84Aug 2022: 61.3%; sample: 80Sep 2022: 67.4%; sample: 89Oct 2022: 61.5%; sample: 96Nov 2022: 21.3%; sample: 89Dec 2022: 49.4%; sample: 83Jan 2023: 24.5%; sample: 942023Feb 2023: 27.4%; sample: 84Mar 2023: 36.3%; sample: 91Apr 2023: 51.7%; sample: 89May 2023: 37.0%; sample: 92Jun 2023: 55.6%; sample: 90Jul 2023: 74.7%; sample: 95Aug 2023: 61.3%; sample: 93Sep 2023: 47.2%; sample: 89Oct 2023: 52.7%; sample: 93Nov 2023: 37.5%; sample: 88Dec 2023: 48.9%; sample: 90Jan 2024: 31.6%; sample: 952024Feb 2024: 19.8%; sample: 86Mar 2024: 17.4%; sample: 92Apr 2024: 28.8%; sample: 73May 2024: 30.1%; sample: 73Jun 2024: 34.2%; sample: 73Jul 2024: 50.7%; sample: 75Aug 2024: 46.2%; sample: 80Sep 2024: 45.6%; sample: 79Oct 2024: 34.8%; sample: 89Nov 2024: 40.2%; sample: 82Dec 2024: 51.8%; sample: 83Jan 2025: 37.7%; sample: 692025Feb 2025: 32.1%; sample: 84Mar 2025: 24.4%; sample: 90Apr 2025: 34.7%; sample: 95May 2025: 35.7%; sample: 98Jun 2025: 44.9%; sample: 89Jul 2025: 51.1%; sample: 94Aug 2025: 55.9%; sample: 93Sep 2025: 52.8%; sample: 89Oct 2025: 35.4%; sample: 96Nov 2025: 26.7%; sample: 75Dec 2025: 18.5%; sample: 92Jan 2026: 36.9%; sample: 652026Feb 2026: 24.1%; sample: 83Mar 2026: 19.6%; sample: 92Apr 2026: 19.7%; sample: 66May 2026: 26.1%; sample: 92Jun 2026: 48.0%; sample: 100Pandemic 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 201861.1% of 36 movements — small sample, not ranked
Feb 201846.9% of 32 movements — small sample, not ranked
Mar 201839.0% of 41 movements — small sample, not ranked
Apr 201846.7% of 60 movements
May 201861.3% of 62 movements
Jun 201872.6% of 62 movements
Jul 201867.2% of 64 movements
Aug 201856.5% of 62 movements
Sep 201841.0% of 61 movements
Oct 201854.8% of 62 movements
Nov 201841.7% of 60 movements
Dec 201853.4% of 58 movements
Jan 201940.3% of 62 movements
Feb 201937.5% of 56 movements
Mar 201924.2% of 62 movements
Apr 201928.3% of 60 movements
May 201917.7% of 62 movements
Jun 201933.3% of 60 movements
Jul 201927.6% of 58 movements
Aug 201929.8% of 57 movements
Sep 201928.1% of 57 movements
Oct 201934.4% of 61 movements
Nov 201932.9% of 76 movements
Dec 201945.5% of 77 movements
Jan 202028.2% of 78 movements
Feb 202036.2% of 80 movements
Mar 20206.1% of 33 movements — small sample, not ranked
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 2020suppressed: fewer than twenty movements
Aug 20203.2% of 31 movements — small sample, not ranked
Sep 2020no events in 29 movements — small sample, not ranked
Oct 2020no events in 30 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 2021suppressed: fewer than twenty movements
Jul 202110.3% of 39 movements — small sample, not ranked
Aug 202117.0% of 53 movements
Sep 202119.6% of 51 movements
Oct 202123.6% of 55 movements
Nov 202115.6% of 90 movements
Dec 202124.1% of 87 movements
Jan 202224.5% of 49 movements — small sample, not ranked
Feb 202226.2% of 84 movements
Mar 202215.1% of 93 movements
Apr 202263.3% of 90 movements
May 202247.3% of 93 movements
Jun 202257.5% of 87 movements
Jul 202271.4% of 84 movements
Aug 202261.3% of 80 movements
Sep 202267.4% of 89 movements
Oct 202261.5% of 96 movements
Nov 202221.3% of 89 movements
Dec 202249.4% of 83 movements
Jan 202324.5% of 94 movements
Feb 202327.4% of 84 movements
Mar 202336.3% of 91 movements
Apr 202351.7% of 89 movements
May 202337.0% of 92 movements
Jun 202355.6% of 90 movements
Jul 202374.7% of 95 movements
Aug 202361.3% of 93 movements
Sep 202347.2% of 89 movements
Oct 202352.7% of 93 movements
Nov 202337.5% of 88 movements
Dec 202348.9% of 90 movements
Jan 202431.6% of 95 movements
Feb 202419.8% of 86 movements
Mar 202417.4% of 92 movements
Apr 202428.8% of 73 movements
May 202430.1% of 73 movements
Jun 202434.2% of 73 movements
Jul 202450.7% of 75 movements
Aug 202446.2% of 80 movements
Sep 202445.6% of 79 movements
Oct 202434.8% of 89 movements
Nov 202440.2% of 82 movements
Dec 202451.8% of 83 movements
Jan 202537.7% of 69 movements
Feb 202532.1% of 84 movements
Mar 202524.4% of 90 movements
Apr 202534.7% of 95 movements
May 202535.7% of 98 movements
Jun 202544.9% of 89 movements
Jul 202551.1% of 94 movements
Aug 202555.9% of 93 movements
Sep 202552.8% of 89 movements
Oct 202535.4% of 96 movements
Nov 202526.7% of 75 movements
Dec 202518.5% of 92 movements
Jan 202636.9% of 65 movements
Feb 202624.1% of 83 movements
Mar 202619.6% of 92 movements
Apr 202619.7% of 66 movements
May 202626.1% of 92 movements
Jun 202648.0% of 100 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 2022Arrivals71.4% of 84 movements28.7% across 871 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures58.8% of 85 movements21.8% across 870 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals61.3% of 93 movements47.3% across 1,072 flightsreturned the next month
NATS system failure · Aug 2023Departures57.0% of 93 movements45.8% across 1,072 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals24.4% of 90 movements37.5% across 952 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures13.0% of 92 movements40.9% across 956 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, 59.1% of arrivals were disrupted, measured across 6 Julys in the archive. March has been the calmest, at 24.2% across 7 Marchs.

Even July has ranged from 27.6% to 74.7% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201940.3% of 62 movements37.5% of 56 movements24.2% of 62 movements28.3% of 60 movements17.7% of 62 movements33.3% of 60 movements27.6% of 58 movements29.8% of 57 movements28.1% of 57 movements34.4% of 61 movements32.9% of 76 movements45.5% of 77 movements202028.2% of 78 movements36.2% of 80 movements6.1% of 33 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements3.2% of 31 movements †no events in 29 movements †no events in 30 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 datasuppressed: fewer than twenty movements10.3% of 39 movements †17.0% of 53 movements19.6% of 51 movements23.6% of 55 movements15.6% of 90 movements24.1% of 87 movements202224.5% of 49 movements †26.2% of 84 movements15.1% of 93 movements63.3% of 90 movements47.3% of 93 movements57.5% of 87 movements71.4% of 84 movements61.3% of 80 movements67.4% of 89 movements61.5% of 96 movements21.3% of 89 movements49.4% of 83 movements202324.5% of 94 movements27.4% of 84 movements36.3% of 91 movements51.7% of 89 movements37.0% of 92 movements55.6% of 90 movements74.7% of 95 movements61.3% of 93 movements47.2% of 89 movements52.7% of 93 movements37.5% of 88 movements48.9% of 90 movements202431.6% of 95 movements19.8% of 86 movements17.4% of 92 movements28.8% of 73 movements30.1% of 73 movements34.2% of 73 movements50.7% of 75 movements46.2% of 80 movements45.6% of 79 movements34.8% of 89 movements40.2% of 82 movements51.8% of 83 movements202537.7% of 69 movements32.1% of 84 movements24.4% of 90 movements34.7% of 95 movements35.7% of 98 movements44.9% of 89 movements51.1% of 94 movements55.9% of 93 movements52.8% of 89 movements35.4% of 96 movements26.7% of 75 movements18.5% of 92 movements202636.9% of 65 movements24.1% of 83 movements19.6% of 92 movements19.7% of 66 movements26.1% of 92 movements48.0% of 100 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan36.9%24.5–61.1%7 months, 470 flights
Feb27.4%19.8–46.9%7 months, 509 flights
Mar24.2%15.1–39.0%7 months, 561 flights
Apr34.7%19.7–63.3%7 months, 533 flights
May35.7%17.7–61.3%7 months, 572 flights
Jun48.0%33.3–72.6%7 months, 561 flights
Jul59.1%27.6–74.7%6 months, 470 flights
Aug56.2%29.8–61.3%6 months, 465 flights
Sep46.4%28.1–67.4%6 months, 464 flights
Oct44.1%34.4–61.5%6 months, 497 flights
Nov35.2%21.3–41.7%6 months, 470 flights
Dec49.1%18.5–53.4%6 months, 483 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, 35.0% of 1,030 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 optionRyanair35.0% of 1,030 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Alitalia (Cai)suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ba Cityflyersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Uksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ryanair1,03035.0% of 1,030 movements0.5% of 1,030 movements0.7% of 1,030 movementsdescriptive comparison
Ryanair Uksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stobart 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, GLA had the lowest disruption share at 18.8% of 112 movements and MAN the highest at 39.8% of 801 movements. This route sits at 35.2% of 1,037 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 optionBrs ↔ Milan-Malpensa23.1% of 212 flightsEdi ↔ Milan-Malpensa34.9% of 192 flightsGla ↔ Milan-Malpensa18.8% of 112 flightsLgw ↔ Milan-Malpensa29.1% of 2,006 flightsLhr ↔ Milan-Malpensa30.9% of 915 flightsLtn ↔ Milan-Malpensa32.2% of 643 flightsMan ↔ Milan-Malpensa39.8% of 801 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Milan-Malpensasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Milan-Malpensasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Milan-Malpensasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Milan-Malpensasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Boh ↔ Milan-Malpensasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Milan-Malpensa21223.1% of 212 movements0.5% of 212 movements0.5% of 212 movementsdescriptive comparison
Cwl ↔ Milan-Malpensasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Milan-Malpensa19234.9% of 192 movements1.6% of 192 movements1.6% of 192 movementsdescriptive comparison
Ema ↔ Milan-Malpensasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Milan-Malpensasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Milan-Malpensa11218.8% of 112 movementsno events in 112 movements2.7% of 112 movementsdescriptive comparison
Iom ↔ Milan-Malpensasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Milan-Malpensasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lcy ↔ Milan-Malpensasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Milan-Malpensa2,00629.1% of 2,006 movements1.2% of 2,006 movements1.3% of 2,006 movementsdescriptive comparison
Lhr ↔ Milan-Malpensa91530.9% of 915 movements1.9% of 915 movements0.9% of 915 movementsdescriptive comparison
Lpl ↔ Milan-Malpensasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Milan-Malpensa64332.2% of 643 movements0.8% of 643 movements0.9% of 643 movementsdescriptive comparison
Man ↔ Milan-Malpensa80139.8% of 801 movements0.7% of 801 movements1.1% of 801 movementsdescriptive comparison
Ncl ↔ Milan-Malpensasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sen ↔ Milan-Malpensasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sou ↔ Milan-Malpensasuppressed: 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 35.2% of 1,037 movements disrupted, departures 32.0% of 1,036 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 STN35.2% of 1,037 movements0.5% of 1,037 movements0.7% of 1,037 movements
Departures from STN32.0% of 1,036 movements0.3% of 1,036 movements0.2% of 1,036 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 202657 flights out of 6,79957 × £220 = £12,540
ArrivalsLast 72 months · Jul 2020–Jun 202635 flights out of 5,19735 × £220 = £7,700
DeparturesWhole archive · Jan 2018–Jun 202645 flights out of 6,80645 × £220 = £9,900
DeparturesLast 72 months · Jul 2020–Jun 202629 flights out of 5,20829 × £220 = £6,380
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 / countryMILAN (MALPENSA) / ITALY
Final point codesMXP / LIMC
Great-circle distance932 km
Maximum statutory amount for the band£220
Average operated arrivals per day2.83
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: 1,037; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

35.2% of 1,037 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.5% of 1,037 movements in the same window.

How many delays crossed three hours?

0.7% of 1,037 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?

932 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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