UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LGW ↔ LISBON

In the twelve months from July 2025 to June 2026, 35.7% of 1,620 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, 64.3% of 1,620 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 101 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, 35.7% of 1,620 movements were disrupted and 2.1% of 1,620 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
35.7% of 1,620 movements2.1% of 1,620 movements30.9–60.5 min; N of delayed flights=545–1,0151,620
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: 2.1% of 1,620 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 min33.6%30 min18.8%60 min7.1%120 min1.9%180 min1.0%360 min0.8%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min33.6% of 1,620 movements5453.0
>30 min18.8% of 1,620 movements3045.3
>60 min7.1% of 1,620 movements11514.1
>120 min1.9% of 1,620 movements3152.3
>180 min1.0% of 1,620 movements16101.2
>360 min0.8% of 1,620 movements13124.6
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 early1509.3%15–1 early42126.0%0–15 late47029.0%16–3024114.9%31–6018911.7%61…120845.2%121…180150.9%181…36030.2%>360130.8%D=1,620
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0372; 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: Feb 2022, 7.5% of 93 movements. Worst month: Sep 2024, 74.8% of 143 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: 13.8%; sample: 942018Feb 2018: 16.1%; sample: 93Mar 2018: 23.6%; sample: 110Apr 2018: 34.9%; sample: 106May 2018: 39.1%; sample: 110Jun 2018: 41.7%; sample: 108Jul 2018: 40.4%; sample: 109Aug 2018: 37.3%; sample: 110Sep 2018: 40.2%; sample: 107Oct 2018: 43.8%; sample: 112Nov 2018: 32.3%; sample: 99Dec 2018: 29.6%; sample: 108Jan 2019: 26.4%; sample: 912019Feb 2019: 27.8%; sample: 97Mar 2019: 24.8%; sample: 109Apr 2019: 29.6%; sample: 108May 2019: 25.2%; sample: 111Jun 2019: 29.9%; sample: 107Jul 2019: 44.6%; sample: 112Aug 2019: 43.6%; sample: 110Sep 2019: 51.9%; sample: 106Oct 2019: 27.0%; sample: 111Nov 2019: 23.7%; sample: 97Dec 2019: 44.5%; sample: 110Jan 2020: 28.9%; sample: 972020Feb 2020: 25.3%; sample: 99Mar 2020: 31.4%; sample: 86Apr 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: 13.3%; sample: 30Sep 2020: 9.4%; sample: 32Oct 2020: 3.8%; sample: 26Nov 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: suppressed: fewer than twenty movements×Jul 2021: suppressed: fewer than twenty movements×Aug 2021: 41.2%; sample: 34Sep 2021: 21.1%; sample: 38Oct 2021: 31.4%; sample: 35Nov 2021: 20.3%; sample: 79Dec 2021: 14.9%; sample: 114Jan 2022: 20.6%; sample: 682022Feb 2022: 7.5%; sample: 93Mar 2022: 12.4%; sample: 121Apr 2022: 28.2%; sample: 124May 2022: 28.3%; sample: 127Jun 2022: 32.3%; sample: 124Jul 2022: 38.8%; sample: 134Aug 2022: 44.3%; sample: 131Sep 2022: 48.9%; sample: 135Oct 2022: 43.9%; sample: 132Nov 2022: 48.1%; sample: 106Dec 2022: 46.9%; sample: 128Jan 2023: 38.0%; sample: 1002023Feb 2023: 42.2%; sample: 116Mar 2023: 50.3%; sample: 143Apr 2023: 50.7%; sample: 136May 2023: 40.6%; sample: 143Jun 2023: 50.4%; sample: 139Jul 2023: 53.5%; sample: 142Aug 2023: 55.4%; sample: 148Sep 2023: 61.4%; sample: 140Oct 2023: 42.4%; sample: 144Nov 2023: 48.3%; sample: 116Dec 2023: 51.9%; sample: 133Jan 2024: 28.9%; sample: 972024Feb 2024: 37.5%; sample: 112Mar 2024: 49.3%; sample: 142Apr 2024: 28.0%; sample: 143May 2024: 30.6%; sample: 144Jun 2024: 44.1%; sample: 136Jul 2024: 51.7%; sample: 143Aug 2024: 49.6%; sample: 141Sep 2024: 74.8%; sample: 143Oct 2024: 57.0%; sample: 151Nov 2024: 36.9%; sample: 122Dec 2024: 38.0%; sample: 137Jan 2025: 36.8%; sample: 1062025Feb 2025: 35.6%; sample: 118Mar 2025: 39.0%; sample: 146Apr 2025: 46.9%; sample: 145May 2025: 32.2%; sample: 146Jun 2025: 36.9%; sample: 141Jul 2025: 54.7%; sample: 148Aug 2025: 51.0%; sample: 143Sep 2025: 51.5%; sample: 136Oct 2025: 40.1%; sample: 147Nov 2025: 21.0%; sample: 124Dec 2025: 39.6%; sample: 144Jan 2026: 31.4%; sample: 1022026Feb 2026: 32.2%; sample: 121Mar 2026: 28.9%; sample: 142Apr 2026: 15.8%; sample: 139May 2026: 23.8%; sample: 143Jun 2026: 34.4%; sample: 131Pandemic 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 201813.8% of 94 movements
Feb 201816.1% of 93 movements
Mar 201823.6% of 110 movements
Apr 201834.9% of 106 movements
May 201839.1% of 110 movements
Jun 201841.7% of 108 movements
Jul 201840.4% of 109 movements
Aug 201837.3% of 110 movements
Sep 201840.2% of 107 movements
Oct 201843.8% of 112 movements
Nov 201832.3% of 99 movements
Dec 201829.6% of 108 movements
Jan 201926.4% of 91 movements
Feb 201927.8% of 97 movements
Mar 201924.8% of 109 movements
Apr 201929.6% of 108 movements
May 201925.2% of 111 movements
Jun 201929.9% of 107 movements
Jul 201944.6% of 112 movements
Aug 201943.6% of 110 movements
Sep 201951.9% of 106 movements
Oct 201927.0% of 111 movements
Nov 201923.7% of 97 movements
Dec 201944.5% of 110 movements
Jan 202028.9% of 97 movements
Feb 202025.3% of 99 movements
Mar 202031.4% of 86 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 202013.3% of 30 movements — small sample, not ranked
Sep 20209.4% of 32 movements — small sample, not ranked
Oct 20203.8% of 26 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 2021suppressed: fewer than twenty movements
Jul 2021suppressed: fewer than twenty movements
Aug 202141.2% of 34 movements — small sample, not ranked
Sep 202121.1% of 38 movements — small sample, not ranked
Oct 202131.4% of 35 movements — small sample, not ranked
Nov 202120.3% of 79 movements
Dec 202114.9% of 114 movements
Jan 202220.6% of 68 movements
Feb 20227.5% of 93 movements
Mar 202212.4% of 121 movements
Apr 202228.2% of 124 movements
May 202228.3% of 127 movements
Jun 202232.3% of 124 movements
Jul 202238.8% of 134 movements
Aug 202244.3% of 131 movements
Sep 202248.9% of 135 movements
Oct 202243.9% of 132 movements
Nov 202248.1% of 106 movements
Dec 202246.9% of 128 movements
Jan 202338.0% of 100 movements
Feb 202342.2% of 116 movements
Mar 202350.3% of 143 movements
Apr 202350.7% of 136 movements
May 202340.6% of 143 movements
Jun 202350.4% of 139 movements
Jul 202353.5% of 142 movements
Aug 202355.4% of 148 movements
Sep 202361.4% of 140 movements
Oct 202342.4% of 144 movements
Nov 202348.3% of 116 movements
Dec 202351.9% of 133 movements
Jan 202428.9% of 97 movements
Feb 202437.5% of 112 movements
Mar 202449.3% of 142 movements
Apr 202428.0% of 143 movements
May 202430.6% of 144 movements
Jun 202444.1% of 136 movements
Jul 202451.7% of 143 movements
Aug 202449.6% of 141 movements
Sep 202474.8% of 143 movements
Oct 202457.0% of 151 movements
Nov 202436.9% of 122 movements
Dec 202438.0% of 137 movements
Jan 202536.8% of 106 movements
Feb 202535.6% of 118 movements
Mar 202539.0% of 146 movements
Apr 202546.9% of 145 movements
May 202532.2% of 146 movements
Jun 202536.9% of 141 movements
Jul 202554.7% of 148 movements
Aug 202551.0% of 143 movements
Sep 202551.5% of 136 movements
Oct 202540.1% of 147 movements
Nov 202521.0% of 124 movements
Dec 202539.6% of 144 movements
Jan 202631.4% of 102 movements
Feb 202632.2% of 121 movements
Mar 202628.9% of 142 movements
Apr 202615.8% of 139 movements
May 202623.8% of 143 movements
Jun 202634.4% of 131 movements

What did the big disruptions actually do here?

Each named event below is shown against this route’s own baseline for the twelve months before it, and against how long the route took to get back to that baseline.

A month worse than baseline is not proof the named event caused it: the open data carry no delay-cause field at all. Some events sit near the edge of the archive, which limits how long a recovery can be traced.

EventDirectionDisruption that monthBaseline beforeReturn to baseline
Pandemic regime · Jun 2020Arrivalssuppressed: fewer than twenty movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departuressuppressed: fewer than twenty movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals38.8% of 134 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures67.9% of 134 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals55.4% of 148 movements46.5% across 1,551 flightsreturned after 2 months
NATS system failure · Aug 2023Departures74.7% of 146 movements56.5% across 1,553 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals39.0% of 146 movements44.4% across 1,626 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Departures37.4% of 147 movements55.2% across 1,630 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, 51.7% of arrivals were disrupted, measured across 6 Septembers in the archive. January has been the calmest, at 28.9% across 7 Januarys.

Even September has ranged from 40.2% to 74.8% in different years, so this is a record of what happened, not a forecast of what will. Lower is better throughout.

Each cell is one calendar month of one year; the number is the share of that month’s arrivals that were disrupted. Darker means worse. A blank cell means no published data, not zero.

Seasonality: calendar month by year; share and nJanFebMarAprMayJunJulAugSepOctNovDec201926.4% of 91 movements27.8% of 97 movements24.8% of 109 movements29.6% of 108 movements25.2% of 111 movements29.9% of 107 movements44.6% of 112 movements43.6% of 110 movements51.9% of 106 movements27.0% of 111 movements23.7% of 97 movements44.5% of 110 movements202028.9% of 97 movements25.3% of 99 movements31.4% of 86 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements13.3% of 30 movements †9.4% of 32 movements †3.8% of 26 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 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements41.2% of 34 movements †21.1% of 38 movements †31.4% of 35 movements †20.3% of 79 movements14.9% of 114 movements202220.6% of 68 movements7.5% of 93 movements12.4% of 121 movements28.2% of 124 movements28.3% of 127 movements32.3% of 124 movements38.8% of 134 movements44.3% of 131 movements48.9% of 135 movements43.9% of 132 movements48.1% of 106 movements46.9% of 128 movements202338.0% of 100 movements42.2% of 116 movements50.3% of 143 movements50.7% of 136 movements40.6% of 143 movements50.4% of 139 movements53.5% of 142 movements55.4% of 148 movements61.4% of 140 movements42.4% of 144 movements48.3% of 116 movements51.9% of 133 movements202428.9% of 97 movements37.5% of 112 movements49.3% of 142 movements28.0% of 143 movements30.6% of 144 movements44.1% of 136 movements51.7% of 143 movements49.6% of 141 movements74.8% of 143 movements57.0% of 151 movements36.9% of 122 movements38.0% of 137 movements202536.8% of 106 movements35.6% of 118 movements39.0% of 146 movements46.9% of 145 movements32.2% of 146 movements36.9% of 141 movements54.7% of 148 movements51.0% of 143 movements51.5% of 136 movements40.1% of 147 movements21.0% of 124 movements39.6% of 144 movements202631.4% of 102 movements32.2% of 121 movements28.9% of 142 movements15.8% of 139 movements23.8% of 143 movements34.4% of 131 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan28.9%13.8–38.0%7 months, 658 flights
Feb32.2%7.5–42.2%7 months, 750 flights
Mar28.9%12.4–50.3%7 months, 913 flights
Apr29.6%15.8–50.7%7 months, 901 flights
May30.6%23.8–40.6%7 months, 924 flights
Jun36.9%29.9–50.4%7 months, 886 flights
Jul48.2%38.8–54.7%6 months, 788 flights
Aug47.0%37.3–55.4%6 months, 783 flights
Sep51.7%40.2–74.8%6 months, 767 flights
Oct43.1%27.0–57.0%6 months, 797 flights
Nov34.6%21.0–48.3%6 months, 664 flights
Dec42.1%29.6–51.9%6 months, 760 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: Air Portugal 28.7% of 588 movements, Easyjet Uk 38.2% of 1,007 movements, Easyjet Europe 100.0% of 25 movements — small sample, not ranked. 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 Portugal28.7% of 588 flightsEasyjet Europe †100.0% of 25 flightsEasyjet Uk38.2% of 1,007 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Air Portugal58828.7% of 588 movements0.9% of 588 movementsno events in 588 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 Europe25100.0% of 25 movements — small sample, not ranked100.0% of 25 movements — small sample, not rankedno events in 25 movements — small sample, not rankedsmall sample; not ranked
Easyjet Uk1,00738.2% of 1,007 movements0.4% of 1,007 movements1.6% of 1,007 movementsdescriptive comparison
Germania Fluggesellschaftsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jota Aviationsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Monarch Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ryanairsuppressed: 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 Airwayssuppressed: 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, BHX had the lowest disruption share at 28.4% of 232 movements and LTN the highest at 55.7% of 879 movements. This route sits at 35.7% of 1,620 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 ↔ Lisbon28.4% of 232 flightsBrs ↔ Lisbon48.3% of 443 flightsEdi ↔ Lisbon47.0% of 334 flightsGla ↔ Lisbon †50.0% of 28 flightsLhr ↔ Lisbon34.2% of 3,801 flightsLpl ↔ Lisbon †42.9% of 28 flightsLtn ↔ Lisbon55.7% of 879 flightsMan ↔ Lisbon44.7% of 1,226 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Lisbonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Lisbonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Lisbonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Lisbon23228.4% of 232 movements0.4% of 232 movements1.7% of 232 movementsdescriptive comparison
Boh ↔ Lisbonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Lisbon44348.3% of 443 movements0.7% of 443 movements0.5% of 443 movementsdescriptive comparison
Cwl ↔ Lisbonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Lisbonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Lisbon33447.0% of 334 movements0.3% of 334 movements0.6% of 334 movementsdescriptive comparison
Ema ↔ Lisbonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Lisbonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Lisbon2850.0% 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
Iom ↔ Lisbonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Lisbonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lcy ↔ Lisbonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lhr ↔ Lisbon3,80134.2% of 3,801 movements0.7% of 3,801 movements0.1% of 3,801 movementsdescriptive comparison
Lpl ↔ Lisbon2842.9% 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
Ltn ↔ Lisbon87955.7% of 879 movements0.3% of 879 movements0.2% of 879 movementsdescriptive comparison
Man ↔ Lisbon1,22644.7% of 1,226 movements0.8% of 1,226 movements0.2% of 1,226 movementsdescriptive comparison
Ncl ↔ Lisbonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sen ↔ Lisbonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Lisbon1,21231.5% of 1,212 movements0.6% of 1,212 movements0.6% of 1,212 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into LGW ran 35.7% of 1,620 movements disrupted, departures 39.7% of 1,614 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 LGW35.7% of 1,620 movements2.1% of 1,620 movements1.0% of 1,620 movements
Departures from LGW39.7% of 1,614 movements1.7% of 1,614 movements0.1% of 1,614 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 2026120 flights out of 10,322120 × £350 = £42,000
ArrivalsLast 72 months · Jul 2020–Jun 202697 flights out of 7,50597 × £350 = £33,950
DeparturesWhole archive · Jan 2018–Jun 202655 flights out of 10,30855 × £350 = £19,250
DeparturesLast 72 months · Jul 2020–Jun 202645 flights out of 7,49645 × £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 / countryLISBON / PORTUGAL(EXCLUDING MADEIRA)
Final point codesLIS / LPPT
Great-circle distance1,542 km
Maximum statutory amount for the band£350
Average operated arrivals per day4.35
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: 1,620; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

35.7% of 1,620 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

2.1% of 1,620 movements in the same window.

How many delays crossed three hours?

1.0% of 1,620 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?

1,542 km, great-circle.

Can compensation entitlement be established here?

No. The cause and the circumstances of an individual flight are unknown. Official CAA conditions.

Why do some cells say "no data"?

That month is absent from the published series. Small cells carry a separate "suppressed" marker; a gap is never replaced by a zero.

How this was calculated

Dataset version, input hashes and reconstruction rules

Dataset version: 396da8dde2874f14; method route-record-v2.1.

Versioned register of every number and the entity map · Input hashes · Correction log · Reconstruction and formulas.

Reconstruction: integer counts inside the rounding bounds of shares of D, summing to M. Ambiguity is preserved as a range of feasible counts; non-convergence stays in quarantine. The map of codes and coordinates is pinned by hash alongside the data. Raw CSV files are not included in the published output.

Your trip has already gone wrong — what now?

The official route to complain

Contact the airline first, then the relevant ADR body or the CAA. The right to care is assessed separately from compensation; time limits and circumstances are checked case by case. CAA: how to complain.

Reconstruction and formulas

Open the versioned claim register

Was your flight delayed 3h+? Check what you may be owed

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