UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LGW ↔ MALTA

In the twelve months from July 2025 to June 2026, 35.1% of 1,574 movements arriving into LGW were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 64.9% of 1,574 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 157 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, 35.1% of 1,574 movements were disrupted and 0.3% of 1,574 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
35.1% of 1,574 movements0.3% of 1,574 movements35.3–59.4 min; N of delayed flights=547–8771,574
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: 0.3% of 1,574 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 min34.8%30 min21.5%60 min9.0%120 min2.3%180 min0.6%360 min0.3%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min34.8% of 1,574 movements5472.9
>30 min21.5% of 1,574 movements3394.6
>60 min9.0% of 1,574 movements14111.2
>120 min2.3% of 1,574 movements3643.7
>180 min0.6% of 1,574 movements10157.4
>360 min0.3% of 1,574 movements4393.5
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 early31219.8%15–1 early38024.1%0–15 late33021.0%16–3020813.2%31–6019812.6%61…1201056.7%121…180261.7%181…36060.4%>36040.3%D=1,574
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0246; 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 2026, 11.1% of 117 movements. Worst month: Jul 2023, 81.7% of 131 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: 21.1%; sample: 712018Feb 2018: 16.5%; sample: 79Mar 2018: 22.1%; sample: 95Apr 2018: 30.4%; sample: 112May 2018: 33.6%; sample: 128Jun 2018: 40.8%; sample: 125Jul 2018: 41.9%; sample: 124Aug 2018: 49.2%; sample: 124Sep 2018: 40.0%; sample: 125Oct 2018: 34.2%; sample: 120Nov 2018: 16.9%; sample: 89Dec 2018: 47.8%; sample: 92Jan 2019: 24.0%; sample: 752019Feb 2019: 29.6%; sample: 81Mar 2019: 29.9%; sample: 97Apr 2019: 23.1%; sample: 117May 2019: 33.1%; sample: 130Jun 2019: 37.6%; sample: 125Jul 2019: 62.8%; sample: 121Aug 2019: 49.2%; sample: 120Sep 2019: 43.2%; sample: 118Oct 2019: 37.1%; sample: 124Nov 2019: 20.8%; sample: 101Dec 2019: 37.0%; sample: 108Jan 2020: 15.4%; sample: 652020Feb 2020: 54.8%; sample: 93Mar 2020: 31.0%; sample: 71Apr 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: 0.0%; sample: 32Sep 2020: 0.0%; sample: 37Oct 2020: 0.0%; sample: 23Nov 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: suppressed: fewer than twenty movements×Jun 2021: 9.5%; sample: 21Jul 2021: 10.9%; sample: 46Aug 2021: 4.3%; sample: 46Sep 2021: 20.0%; sample: 40Oct 2021: 18.8%; sample: 48Nov 2021: 0.0%; sample: 26Dec 2021: 15.9%; sample: 44Jan 2022: 10.0%; sample: 202022Feb 2022: 9.5%; sample: 21Mar 2022: 6.1%; sample: 33Apr 2022: 24.2%; sample: 91May 2022: 45.2%; sample: 104Jun 2022: 45.0%; sample: 111Jul 2022: 47.3%; sample: 110Aug 2022: 45.9%; sample: 122Sep 2022: 58.4%; sample: 101Oct 2022: 31.0%; sample: 100Nov 2022: 21.1%; sample: 76Dec 2022: 30.0%; sample: 80Jan 2023: 20.4%; sample: 542023Feb 2023: 26.3%; sample: 76Mar 2023: 56.4%; sample: 94Apr 2023: 61.7%; sample: 128May 2023: 56.3%; sample: 126Jun 2023: 69.2%; sample: 130Jul 2023: 81.7%; sample: 131Aug 2023: 76.6%; sample: 137Sep 2023: 60.6%; sample: 132Oct 2023: 42.1%; sample: 133Nov 2023: 22.2%; sample: 99Dec 2023: 40.5%; sample: 111Jan 2024: 18.1%; sample: 832024Feb 2024: 26.8%; sample: 97Mar 2024: 25.0%; sample: 116Apr 2024: 24.8%; sample: 137May 2024: 30.3%; sample: 152Jun 2024: 50.3%; sample: 149Jul 2024: 62.1%; sample: 145Aug 2024: 53.1%; sample: 147Sep 2024: 61.7%; sample: 149Oct 2024: 40.7%; sample: 145Nov 2024: 18.9%; sample: 111Dec 2024: 31.6%; sample: 117Jan 2025: 28.0%; sample: 822025Feb 2025: 26.0%; sample: 96Mar 2025: 22.5%; sample: 120Apr 2025: 31.5%; sample: 162May 2025: 39.5%; sample: 167Jun 2025: 44.7%; sample: 152Jul 2025: 55.6%; sample: 162Aug 2025: 61.7%; sample: 128Sep 2025: 53.4%; sample: 163Oct 2025: 47.1%; sample: 121Nov 2025: 13.8%; sample: 87Dec 2025: 13.6%; sample: 110Jan 2026: 13.0%; sample: 772026Feb 2026: 14.0%; sample: 93Mar 2026: 11.1%; sample: 117Apr 2026: 30.5%; sample: 167May 2026: 27.5%; sample: 178Jun 2026: 44.4%; sample: 171Pandemic 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 201821.1% of 71 movements
Feb 201816.5% of 79 movements
Mar 201822.1% of 95 movements
Apr 201830.4% of 112 movements
May 201833.6% of 128 movements
Jun 201840.8% of 125 movements
Jul 201841.9% of 124 movements
Aug 201849.2% of 124 movements
Sep 201840.0% of 125 movements
Oct 201834.2% of 120 movements
Nov 201816.9% of 89 movements
Dec 201847.8% of 92 movements
Jan 201924.0% of 75 movements
Feb 201929.6% of 81 movements
Mar 201929.9% of 97 movements
Apr 201923.1% of 117 movements
May 201933.1% of 130 movements
Jun 201937.6% of 125 movements
Jul 201962.8% of 121 movements
Aug 201949.2% of 120 movements
Sep 201943.2% of 118 movements
Oct 201937.1% of 124 movements
Nov 201920.8% of 101 movements
Dec 201937.0% of 108 movements
Jan 202015.4% of 65 movements
Feb 202054.8% of 93 movements
Mar 202031.0% of 71 movements
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 2020no events in 32 movements — small sample, not ranked
Sep 2020no events in 37 movements — small sample, not ranked
Oct 2020no events in 23 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 2021suppressed: fewer than twenty movements
Jun 20219.5% of 21 movements — small sample, not ranked
Jul 202110.9% of 46 movements — small sample, not ranked
Aug 20214.3% of 46 movements — small sample, not ranked
Sep 202120.0% of 40 movements — small sample, not ranked
Oct 202118.8% of 48 movements — small sample, not ranked
Nov 2021no events in 26 movements — small sample, not ranked
Dec 202115.9% of 44 movements — small sample, not ranked
Jan 202210.0% of 20 movements — small sample, not ranked
Feb 20229.5% of 21 movements — small sample, not ranked
Mar 20226.1% of 33 movements — small sample, not ranked
Apr 202224.2% of 91 movements
May 202245.2% of 104 movements
Jun 202245.0% of 111 movements
Jul 202247.3% of 110 movements
Aug 202245.9% of 122 movements
Sep 202258.4% of 101 movements
Oct 202231.0% of 100 movements
Nov 202221.1% of 76 movements
Dec 202230.0% of 80 movements
Jan 202320.4% of 54 movements
Feb 202326.3% of 76 movements
Mar 202356.4% of 94 movements
Apr 202361.7% of 128 movements
May 202356.3% of 126 movements
Jun 202369.2% of 130 movements
Jul 202381.7% of 131 movements
Aug 202376.6% of 137 movements
Sep 202360.6% of 132 movements
Oct 202342.1% of 133 movements
Nov 202322.2% of 99 movements
Dec 202340.5% of 111 movements
Jan 202418.1% of 83 movements
Feb 202426.8% of 97 movements
Mar 202425.0% of 116 movements
Apr 202424.8% of 137 movements
May 202430.3% of 152 movements
Jun 202450.3% of 149 movements
Jul 202462.1% of 145 movements
Aug 202453.1% of 147 movements
Sep 202461.7% of 149 movements
Oct 202440.7% of 145 movements
Nov 202418.9% of 111 movements
Dec 202431.6% of 117 movements
Jan 202528.0% of 82 movements
Feb 202526.0% of 96 movements
Mar 202522.5% of 120 movements
Apr 202531.5% of 162 movements
May 202539.5% of 167 movements
Jun 202544.7% of 152 movements
Jul 202555.6% of 162 movements
Aug 202561.7% of 128 movements
Sep 202553.4% of 163 movements
Oct 202547.1% of 121 movements
Nov 202513.8% of 87 movements
Dec 202513.6% of 110 movements
Jan 202613.0% of 77 movements
Feb 202614.0% of 93 movements
Mar 202611.1% of 117 movements
Apr 202630.5% of 167 movements
May 202627.5% of 178 movements
Jun 202644.4% of 171 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 2022Arrivals47.3% of 110 movements17.5% across 630 flightsstill above it 8 months later
Summer 2022 breakdown · Jul 2022Departures64.2% of 109 movements18.8% across 637 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals76.6% of 137 movements46.5% across 1,218 flightsreturned after 2 months
NATS system failure · Aug 2023Departures67.2% of 134 movements46.1% across 1,218 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals22.5% of 120 movements37.7% across 1,546 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures16.5% of 121 movements32.9% across 1,548 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, 58.8% of arrivals were disrupted, measured across 6 Julys in the archive. November has been the calmest, at 19.9% across 6 Novembers.

Even July has ranged from 41.9% to 81.7% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201924.0% of 75 movements29.6% of 81 movements29.9% of 97 movements23.1% of 117 movements33.1% of 130 movements37.6% of 125 movements62.8% of 121 movements49.2% of 120 movements43.2% of 118 movements37.1% of 124 movements20.8% of 101 movements37.0% of 108 movements202015.4% of 65 movements54.8% of 93 movements31.0% of 71 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno events in 32 movements †no events in 37 movements †no events in 23 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno datasuppressed: fewer than twenty movements9.5% of 21 movements †10.9% of 46 movements †4.3% of 46 movements †20.0% of 40 movements †18.8% of 48 movements †no events in 26 movements †15.9% of 44 movements †202210.0% of 20 movements †9.5% of 21 movements †6.1% of 33 movements †24.2% of 91 movements45.2% of 104 movements45.0% of 111 movements47.3% of 110 movements45.9% of 122 movements58.4% of 101 movements31.0% of 100 movements21.1% of 76 movements30.0% of 80 movements202320.4% of 54 movements26.3% of 76 movements56.4% of 94 movements61.7% of 128 movements56.3% of 126 movements69.2% of 130 movements81.7% of 131 movements76.6% of 137 movements60.6% of 132 movements42.1% of 133 movements22.2% of 99 movements40.5% of 111 movements202418.1% of 83 movements26.8% of 97 movements25.0% of 116 movements24.8% of 137 movements30.3% of 152 movements50.3% of 149 movements62.1% of 145 movements53.1% of 147 movements61.7% of 149 movements40.7% of 145 movements18.9% of 111 movements31.6% of 117 movements202528.0% of 82 movements26.0% of 96 movements22.5% of 120 movements31.5% of 162 movements39.5% of 167 movements44.7% of 152 movements55.6% of 162 movements61.7% of 128 movements53.4% of 163 movements47.1% of 121 movements13.8% of 87 movements13.6% of 110 movements202613.0% of 77 movements14.0% of 93 movements11.1% of 117 movements30.5% of 167 movements27.5% of 178 movements44.4% of 171 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan20.4%10.0–28.0%7 months, 462 flights
Feb26.0%9.5–29.6%7 months, 543 flights
Mar22.5%6.1–56.4%7 months, 672 flights
Apr30.4%23.1–61.7%7 months, 914 flights
May33.6%27.5–56.3%7 months, 985 flights
Jun44.7%37.6–69.2%7 months, 963 flights
Jul58.8%41.9–81.7%6 months, 793 flights
Aug51.1%45.9–76.6%6 months, 778 flights
Sep55.9%40.0–61.7%6 months, 788 flights
Oct38.9%31.0–47.1%6 months, 743 flights
Nov19.9%13.8–22.2%6 months, 563 flights
Dec34.3%13.6–47.8%6 months, 618 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: Km Malta Airlines 5.0% of 221 movements, Air Malta 14.9% of 67 movements, Easyjet Uk 31.8% of 619 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 optionAir Malta14.9% of 67 flightsBa Euroflyer British Airways46.8% of 566 flightsEasyjet Uk31.8% of 619 flightsEnter Air †50.0% of 24 flightsKm Malta Airlines5.0% of 221 flightsTui Airways83.9% of 56 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Air Malta6714.9% of 67 movementsno events in 67 movementsno events in 67 movementsdescriptive comparison
Ba Euroflyer British Airways56646.8% of 566 movementsno events in 566 movements1.1% of 566 movementsdescriptive comparison
British Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Airlinesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Europesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Uk61931.8% of 619 movements0.2% of 619 movements0.5% of 619 movementsdescriptive comparison
Enter Air2450.0% of 24 movements — small sample, not rankedno events in 24 movements — small sample, not rankedno events in 24 movements — small sample, not rankedsmall sample; not ranked
Jet2.Comsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Km Malta Airlines2215.0% of 221 movementsno events in 221 movementsno events in 221 movementsdescriptive comparison
Norwegian Air Internationalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Phoenix Airsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Thomas Cook Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Titan Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Tui Airways5683.9% of 56 movementsno events in 56 movements1.8% of 56 movementsdescriptive comparison
Virgin Atlantic Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Wizz Airsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Wizz Air Uksuppressed: 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, LHR had the lowest disruption share at 12.7% of 552 movements and LTN the highest at 54.7% of 278 movements. This route sits at 35.1% of 1,574 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 optionBfs ↔ Malta16.3% of 92 flightsBhx ↔ Malta37.2% of 514 flightsBoh ↔ Malta36.5% of 137 flightsBrs ↔ Malta39.8% of 251 flightsEdi ↔ Malta46.0% of 335 flightsEma ↔ Malta22.3% of 121 flightsGla ↔ Malta27.8% of 187 flightsLba ↔ Malta22.7% of 88 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Maltasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Malta9216.3% of 92 movementsno events in 92 movementsno events in 92 movementsdescriptive comparison
Bhd ↔ Maltasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Malta51437.2% of 514 movements0.2% of 514 movements0.6% of 514 movementsdescriptive comparison
Boh ↔ Malta13736.5% of 137 movementsno events in 137 movementsno events in 137 movementsdescriptive comparison
Brs ↔ Malta25139.8% of 251 movements0.8% of 251 movements1.2% of 251 movementsdescriptive comparison
Cwl ↔ Maltasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Maltasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Malta33546.0% of 335 movementsno events in 335 movementsno events in 335 movementsdescriptive comparison
Ema ↔ Malta12122.3% of 121 movementsno events in 121 movementsno events in 121 movementsdescriptive comparison
Ext ↔ Maltasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Malta18727.8% of 187 movements0.5% of 187 movementsno events in 187 movementsdescriptive comparison
Lba ↔ Malta8822.7% of 88 movementsno events in 88 movementsno events in 88 movementsdescriptive comparison
Lhr ↔ Malta55212.7% of 552 movementsno events in 552 movements0.2% of 552 movementsdescriptive comparison
Lpl ↔ Malta25632.4% of 256 movementsno events in 256 movements0.4% of 256 movementsdescriptive comparison
Ltn ↔ Malta27854.7% of 278 movementsno events in 278 movements0.4% of 278 movementsdescriptive comparison
Man ↔ Malta89751.7% of 897 movements0.1% of 897 movements0.7% of 897 movementsdescriptive comparison
Ncl ↔ Malta20427.0% of 204 movementsno events in 204 movementsno events in 204 movementsdescriptive comparison
Sen ↔ Malta14932.2% of 149 movements0.7% of 149 movements0.7% of 149 movementsdescriptive comparison
Stn ↔ Malta67738.8% of 677 movementsno events in 677 movements0.4% of 677 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into LGW ran 35.1% of 1,574 movements disrupted, departures 25.7% of 1,575 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 LGW35.1% of 1,574 movements0.3% of 1,574 movements0.6% of 1,574 movements
Departures from LGW25.7% of 1,575 movements0.2% of 1,575 movements0.3% of 1,575 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 202683 flights out of 9,43483 × £350 = £29,050
ArrivalsLast 72 months · Jul 2020–Jun 202668 flights out of 6,60468 × £350 = £23,800
DeparturesWhole archive · Jan 2018–Jun 202653 flights out of 9,42853 × £350 = £18,550
DeparturesLast 72 months · Jul 2020–Jun 202645 flights out of 6,60845 × £350 = £15,750
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 airportGATWICK · LGW
Final point / countryMALTA / MALTA
Final point codesMLA / LMML
Great-circle distance2,065 km
Maximum statutory amount for the band£350
Average operated arrivals per day4.30
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 archive96

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: 1,574; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

35.1% of 1,574 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.3% of 1,574 movements in the same window.

How many delays crossed three hours?

0.6% of 1,574 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?

2,065 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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