UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ MILAN MALPENSA

In the twelve months from July 2025 to June 2026, 30.9% of 915 movements arriving into LHR were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 69.1% of 915 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 114 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, 30.9% of 915 movements were disrupted and 1.9% of 915 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
30.9% of 915 movements1.9% of 915 movements31.1–64.5 min; N of delayed flights=266–522915
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: 1.9% of 915 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 min29.1%30 min16.9%60 min6.7%120 min1.3%180 min0.9%360 min0.3%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min29.1% of 915 movements2663.4
>30 min16.9% of 915 movements1555.9
>60 min6.7% of 915 movements6115.0
>120 min1.3% of 915 movements1276.2
>180 min0.9% of 915 movements8114.4
>360 min0.3% of 915 movements3305.0
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 early10111.0%15–1 early27530.1%0–15 late25628.0%16–3011112.1%31–609410.3%61…120495.4%121…18040.4%181…36050.5%>36030.3%D=915
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0390; corpus median 0.0217; 2056 routes in the corpus. The shape is compared conditionally among delays; the class name does not measure absolute frequency. Histogram counts and shares cover all recorded operations including unmatched records; reconstructed uniquely.

Has this route got better or worse since 2018?

Best month: Sep 2020, 4.5% of 67 movements. Worst month: Sep 2024, 67.2% of 125 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: 22.4%; sample: 582018Feb 2018: 15.7%; sample: 51Mar 2018: 32.4%; sample: 68Apr 2018: 35.8%; sample: 106May 2018: 38.4%; sample: 112Jun 2018: 37.3%; sample: 102Jul 2018: 40.6%; sample: 106Aug 2018: 28.3%; sample: 99Sep 2018: 22.5%; sample: 102Oct 2018: 35.8%; sample: 106Nov 2018: 28.1%; sample: 64Dec 2018: 41.3%; sample: 75Jan 2019: 17.9%; sample: 842019Feb 2019: 16.7%; sample: 72Mar 2019: 26.2%; sample: 80Apr 2019: 26.9%; sample: 108May 2019: 25.2%; sample: 111Jun 2019: 47.1%; sample: 102Jul 2019: 53.7%; sample: 136Aug 2019: 54.1%; sample: 266Sep 2019: 51.7%; sample: 236Oct 2019: 49.1%; sample: 232Nov 2019: 25.5%; sample: 55Dec 2019: 35.2%; sample: 54Jan 2020: 19.3%; sample: 572020Feb 2020: 48.1%; sample: 52Mar 2020: suppressed: fewer than twenty movements×Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 9.0%; sample: 89Aug 2020: 11.6%; sample: 69Sep 2020: 4.5%; sample: 67Oct 2020: 9.5%; sample: 42Nov 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: no data×May 2021: no data×Jun 2021: suppressed: fewer than twenty movements×Jul 2021: 21.4%; sample: 28Aug 2021: suppressed: fewer than twenty movements×Sep 2021: 19.4%; sample: 31Oct 2021: 10.6%; sample: 47Nov 2021: 3.3%; sample: 30Dec 2021: 19.4%; sample: 31Jan 2022: suppressed: fewer than twenty movements×2022Feb 2022: suppressed: fewer than twenty movements×Mar 2022: 21.4%; sample: 42Apr 2022: 34.9%; sample: 106May 2022: 23.1%; sample: 134Jun 2022: 62.3%; sample: 114Jul 2022: 43.8%; sample: 89Aug 2022: 23.0%; sample: 100Sep 2022: 57.3%; sample: 96Oct 2022: 40.4%; sample: 109Nov 2022: 32.6%; sample: 86Dec 2022: 37.3%; sample: 83Jan 2023: 37.3%; sample: 832023Feb 2023: 26.3%; sample: 99Mar 2023: 64.4%; sample: 101Apr 2023: 55.3%; sample: 94May 2023: 42.1%; sample: 121Jun 2023: 53.9%; sample: 102Jul 2023: 57.1%; sample: 105Aug 2023: 53.3%; sample: 105Sep 2023: 54.2%; sample: 107Oct 2023: 41.2%; sample: 114Nov 2023: 19.8%; sample: 126Dec 2023: 38.4%; sample: 125Jan 2024: 17.9%; sample: 1342024Feb 2024: 26.0%; sample: 123Mar 2024: 31.3%; sample: 131Apr 2024: 47.6%; sample: 126May 2024: 48.1%; sample: 131Jun 2024: 49.6%; sample: 121Jul 2024: 63.4%; sample: 131Aug 2024: 49.2%; sample: 126Sep 2024: 67.2%; sample: 125Oct 2024: 39.4%; sample: 132Nov 2024: 21.8%; sample: 119Dec 2024: 35.7%; sample: 126Jan 2025: 18.9%; sample: 1322025Feb 2025: 11.2%; sample: 116Mar 2025: 18.9%; sample: 127Apr 2025: 20.7%; sample: 82May 2025: 19.5%; sample: 82Jun 2025: 38.8%; sample: 85Jul 2025: 53.9%; sample: 89Aug 2025: 33.0%; sample: 94Sep 2025: 53.6%; sample: 84Oct 2025: 25.0%; sample: 80Nov 2025: 15.4%; sample: 65Dec 2025: 19.7%; sample: 66Jan 2026: 27.1%; sample: 592026Feb 2026: 9.8%; sample: 61Mar 2026: 13.2%; sample: 68Apr 2026: 21.3%; sample: 75May 2026: 28.9%; sample: 83Jun 2026: 49.5%; sample: 91Pandemic 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 201822.4% of 58 movements
Feb 201815.7% of 51 movements
Mar 201832.4% of 68 movements
Apr 201835.8% of 106 movements
May 201838.4% of 112 movements
Jun 201837.3% of 102 movements
Jul 201840.6% of 106 movements
Aug 201828.3% of 99 movements
Sep 201822.5% of 102 movements
Oct 201835.8% of 106 movements
Nov 201828.1% of 64 movements
Dec 201841.3% of 75 movements
Jan 201917.9% of 84 movements
Feb 201916.7% of 72 movements
Mar 201926.2% of 80 movements
Apr 201926.9% of 108 movements
May 201925.2% of 111 movements
Jun 201947.1% of 102 movements
Jul 201953.7% of 136 movements
Aug 201954.1% of 266 movements
Sep 201951.7% of 236 movements
Oct 201949.1% of 232 movements
Nov 201925.5% of 55 movements
Dec 201935.2% of 54 movements
Jan 202019.3% of 57 movements
Feb 202048.1% of 52 movements
Mar 2020suppressed: fewer than twenty movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 20209.0% of 89 movements
Aug 202011.6% of 69 movements
Sep 20204.5% of 67 movements
Oct 20209.5% of 42 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 2021no data
May 2021no data
Jun 2021suppressed: fewer than twenty movements
Jul 202121.4% of 28 movements — small sample, not ranked
Aug 2021suppressed: fewer than twenty movements
Sep 202119.4% of 31 movements — small sample, not ranked
Oct 202110.6% of 47 movements — small sample, not ranked
Nov 20213.3% of 30 movements — small sample, not ranked
Dec 202119.4% of 31 movements — small sample, not ranked
Jan 2022suppressed: fewer than twenty movements
Feb 2022suppressed: fewer than twenty movements
Mar 202221.4% of 42 movements — small sample, not ranked
Apr 202234.9% of 106 movements
May 202223.1% of 134 movements
Jun 202262.3% of 114 movements
Jul 202243.8% of 89 movements
Aug 202223.0% of 100 movements
Sep 202257.3% of 96 movements
Oct 202240.4% of 109 movements
Nov 202232.6% of 86 movements
Dec 202237.3% of 83 movements
Jan 202337.3% of 83 movements
Feb 202326.3% of 99 movements
Mar 202364.4% of 101 movements
Apr 202355.3% of 94 movements
May 202342.1% of 121 movements
Jun 202353.9% of 102 movements
Jul 202357.1% of 105 movements
Aug 202353.3% of 105 movements
Sep 202354.2% of 107 movements
Oct 202341.2% of 114 movements
Nov 202319.8% of 126 movements
Dec 202338.4% of 125 movements
Jan 202417.9% of 134 movements
Feb 202426.0% of 123 movements
Mar 202431.3% of 131 movements
Apr 202447.6% of 126 movements
May 202448.1% of 131 movements
Jun 202449.6% of 121 movements
Jul 202463.4% of 131 movements
Aug 202449.2% of 126 movements
Sep 202467.2% of 125 movements
Oct 202439.4% of 132 movements
Nov 202421.8% of 119 movements
Dec 202435.7% of 126 movements
Jan 202518.9% of 132 movements
Feb 202511.2% of 116 movements
Mar 202518.9% of 127 movements
Apr 202520.7% of 82 movements
May 202519.5% of 82 movements
Jun 202538.8% of 85 movements
Jul 202553.9% of 89 movements
Aug 202533.0% of 94 movements
Sep 202553.6% of 84 movements
Oct 202525.0% of 80 movements
Nov 202515.4% of 65 movements
Dec 202519.7% of 66 movements
Jan 202627.1% of 59 movements
Feb 20269.8% of 61 movements
Mar 202613.2% of 68 movements
Apr 202621.3% of 75 movements
May 202628.9% of 83 movements
Jun 202649.5% of 91 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 2022Arrivals43.8% of 89 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures55.1% of 89 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals53.3% of 105 movements43.9% across 1,179 flightsreturned after 2 months
NATS system failure · Aug 2023Departures55.2% of 105 movements48.5% across 1,180 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals18.9% of 127 movements40.3% across 1,516 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures23.4% of 128 movements33.6% across 1,515 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?

September has historically been the hardest month on this route: in a typical September, 53.9% of arrivals were disrupted, measured across 6 Septembers in the archive. February has been the calmest, at 16.2% across 6 Februarys.

Even September has ranged from 22.5% to 67.2% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201917.9% of 84 movements16.7% of 72 movements26.2% of 80 movements26.9% of 108 movements25.2% of 111 movements47.1% of 102 movements53.7% of 136 movements54.1% of 266 movements51.7% of 236 movements49.1% of 232 movements25.5% of 55 movements35.2% of 54 movements202019.3% of 57 movements48.1% of 52 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements9.0% of 89 movements11.6% of 69 movements4.5% of 67 movements9.5% of 42 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno datano datasuppressed: fewer than twenty movements21.4% of 28 movements †suppressed: fewer than twenty movements19.4% of 31 movements †10.6% of 47 movements †3.3% of 30 movements †19.4% of 31 movements †2022suppressed: fewer than twenty movementssuppressed: fewer than twenty movements21.4% of 42 movements †34.9% of 106 movements23.1% of 134 movements62.3% of 114 movements43.8% of 89 movements23.0% of 100 movements57.3% of 96 movements40.4% of 109 movements32.6% of 86 movements37.3% of 83 movements202337.3% of 83 movements26.3% of 99 movements64.4% of 101 movements55.3% of 94 movements42.1% of 121 movements53.9% of 102 movements57.1% of 105 movements53.3% of 105 movements54.2% of 107 movements41.2% of 114 movements19.8% of 126 movements38.4% of 125 movements202417.9% of 134 movements26.0% of 123 movements31.3% of 131 movements47.6% of 126 movements48.1% of 131 movements49.6% of 121 movements63.4% of 131 movements49.2% of 126 movements67.2% of 125 movements39.4% of 132 movements21.8% of 119 movements35.7% of 126 movements202518.9% of 132 movements11.2% of 116 movements18.9% of 127 movements20.7% of 82 movements19.5% of 82 movements38.8% of 85 movements53.9% of 89 movements33.0% of 94 movements53.6% of 84 movements25.0% of 80 movements15.4% of 65 movements19.7% of 66 movements202627.1% of 59 movements9.8% of 61 movements13.2% of 68 movements21.3% of 75 movements28.9% of 83 movements49.5% of 91 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan20.7%17.9–37.3%6 months, 550 flights
Feb16.2%9.8–26.3%6 months, 522 flights
Mar26.2%13.2–64.4%7 months, 617 flights
Apr34.9%20.7–55.3%7 months, 697 flights
May28.9%19.5–48.1%7 months, 774 flights
Jun49.5%37.3–62.3%7 months, 717 flights
Jul53.8%40.6–63.4%6 months, 656 flights
Aug41.1%23.0–54.1%6 months, 790 flights
Sep53.9%22.5–67.2%6 months, 750 flights
Oct39.9%25.0–49.1%6 months, 773 flights
Nov23.7%15.4–32.6%6 months, 515 flights
Dec36.5%19.7–41.3%6 months, 529 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: British Airways Plc, 30.7% of 911 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 optionBritish Airways30.7% of 911 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
American Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ba Euroflyer British Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
British Airways91130.7% of 911 movements1.8% of 911 movements0.9% of 911 movementsdescriptive comparison
Delta Airlinessuppressed: 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
Neos Spasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
United Airlinessuppressed: 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 30.9% of 915 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 flightsLtn ↔ Milan-Malpensa32.2% of 643 flightsMan ↔ Milan-Malpensa39.8% of 801 flightsStn ↔ Milan-Malpensa35.2% of 1,037 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
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
Stn ↔ Milan-Malpensa1,03735.2% of 1,037 movements0.5% of 1,037 movements0.7% of 1,037 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into LHR ran 30.9% of 915 movements disrupted, departures 26.5% of 914 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 LHR30.9% of 915 movements1.9% of 915 movements0.9% of 915 movements
Departures from LHR26.5% of 914 movements1.4% of 914 movements0.2% of 914 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 202648 flights out of 8,51548 × £220 = £10,560
ArrivalsLast 72 months · Jul 2020–Jun 202635 flights out of 5,80035 × £220 = £7,700
DeparturesWhole archive · Jan 2018–Jun 202613 flights out of 8,50513 × £220 = £2,860
DeparturesLast 72 months · Jul 2020–Jun 202610 flights out of 5,79010 × £220 = £2,200
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 airportHEATHROW · LHR
Final point / countryMILAN (MALPENSA) / ITALY
Final point codesMXP / LIMC
Great-circle distance936 km
Maximum statutory amount for the band£220
Average operated arrivals per day2.46
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 archive93

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: 915; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

30.9% of 915 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

1.9% of 915 movements in the same window.

How many delays crossed three hours?

0.9% of 915 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?

936 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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