UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LGW ↔ OPORTO PORTUGAL

In the twelve months from July 2025 to June 2026, 26.6% of 1,572 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, 73.4% of 1,572 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 314 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, 26.6% of 1,572 movements were disrupted and 1.0% of 1,572 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
26.6% of 1,572 movements1.0% of 1,572 movements30.1–61.8 min; N of delayed flights=403–7761,572
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: 1.0% of 1,572 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 min25.6%30 min14.2%60 min6.4%120 min1.9%180 min0.3%360 min0.2%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min25.6% of 1,572 movements4033.9
>30 min14.2% of 1,572 movements2247.0
>60 min6.4% of 1,572 movements10015.7
>120 min1.9% of 1,572 movements3052.4
>180 min0.3% of 1,572 movements5314.4
>360 min0.2% of 1,572 movements3524.0
Definitions, denominators and limits

CAA counts delays strictly greater than each threshold, so exactly three hours is inseparable from the previous bucket. The ladder describes the archive, not a forecast.

Slightly late, or occasionally a disaster?

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

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

Nine delay buckets, minutes; share of all recorded operations>15 early26316.7%15–1 early51833.0%0–15 late37323.7%16–3017911.4%31–601247.9%61…120704.5%121…180251.6%181…36020.1%>36030.2%D=1,572
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0165; corpus median 0.0217; 2056 routes in the corpus. The shape is compared conditionally among delays; the class name does not measure absolute frequency. Histogram counts and shares cover all recorded operations including unmatched records; reconstructed uniquely.

Has this route got better or worse since 2018?

Best month: Mar 2022, 6.9% of 72 movements. Worst month: Sep 2024, 70.2% of 141 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: 23.0%; sample: 1002018Feb 2018: 26.9%; sample: 93Mar 2018: 27.2%; sample: 114Apr 2018: 23.8%; sample: 126May 2018: 37.3%; sample: 126Jun 2018: 36.8%; sample: 125Jul 2018: 42.0%; sample: 138Aug 2018: 34.3%; sample: 137Sep 2018: 37.3%; sample: 134Oct 2018: 37.0%; sample: 135Nov 2018: 18.2%; sample: 99Dec 2018: 27.4%; sample: 113Jan 2019: 14.7%; sample: 1022019Feb 2019: 27.7%; sample: 101Mar 2019: 18.0%; sample: 111Apr 2019: 16.8%; sample: 131May 2019: 23.2%; sample: 138Jun 2019: 24.1%; sample: 133Jul 2019: 43.6%; sample: 133Aug 2019: 43.9%; sample: 132Sep 2019: 40.0%; sample: 130Oct 2019: 27.1%; sample: 133Nov 2019: 9.9%; sample: 101Dec 2019: 41.4%; sample: 128Jan 2020: 24.0%; sample: 1042020Feb 2020: 31.1%; sample: 106Mar 2020: 23.3%; 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: 9.5%; sample: 21Sep 2020: suppressed: fewer than twenty movements×Oct 2020: suppressed: fewer than twenty movements×Nov 2020: suppressed: fewer than twenty movements×Dec 2020: suppressed: fewer than twenty movements×Jan 2021: suppressed: fewer than twenty movements×2021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: no data×May 2021: 28.2%; sample: 39Jun 2021: 0.0%; sample: 37Jul 2021: 5.9%; sample: 34Aug 2021: 15.0%; sample: 40Sep 2021: 5.6%; sample: 36Oct 2021: 6.8%; sample: 44Nov 2021: 8.0%; sample: 75Dec 2021: 11.0%; sample: 91Jan 2022: 8.3%; sample: 482022Feb 2022: 13.0%; sample: 54Mar 2022: 6.9%; sample: 72Apr 2022: 19.6%; sample: 107May 2022: 24.3%; sample: 111Jun 2022: 32.0%; sample: 103Jul 2022: 33.3%; sample: 105Aug 2022: 38.5%; sample: 104Sep 2022: 43.6%; sample: 110Oct 2022: 39.5%; sample: 114Nov 2022: 31.0%; sample: 58Dec 2022: 45.2%; sample: 104Jan 2023: 26.9%; sample: 782023Feb 2023: 30.8%; sample: 65Mar 2023: 46.3%; sample: 82Apr 2023: 28.3%; sample: 106May 2023: 25.0%; sample: 108Jun 2023: 29.9%; sample: 107Jul 2023: 39.3%; sample: 107Aug 2023: 35.1%; sample: 111Sep 2023: 48.2%; sample: 114Oct 2023: 29.8%; sample: 114Nov 2023: 23.5%; sample: 85Dec 2023: 38.5%; sample: 91Jan 2024: 21.5%; sample: 792024Feb 2024: 25.3%; sample: 79Mar 2024: 34.4%; sample: 96Apr 2024: 15.3%; sample: 144May 2024: 22.8%; sample: 149Jun 2024: 27.7%; sample: 141Jul 2024: 45.1%; sample: 142Aug 2024: 45.5%; sample: 134Sep 2024: 70.2%; sample: 141Oct 2024: 45.3%; sample: 139Nov 2024: 14.3%; sample: 91Dec 2024: 28.7%; sample: 108Jan 2025: 18.0%; sample: 892025Feb 2025: 17.4%; sample: 92Mar 2025: 30.7%; sample: 101Apr 2025: 17.2%; sample: 151May 2025: 28.1%; sample: 160Jun 2025: 32.9%; sample: 149Jul 2025: 38.9%; sample: 149Aug 2025: 42.9%; sample: 156Sep 2025: 40.3%; sample: 149Oct 2025: 26.6%; sample: 143Nov 2025: 13.0%; sample: 92Dec 2025: 16.5%; sample: 115Jan 2026: 16.1%; sample: 872026Feb 2026: 22.7%; sample: 88Mar 2026: 18.0%; sample: 111Apr 2026: 16.7%; sample: 162May 2026: 19.5%; sample: 164Jun 2026: 32.7%; sample: 156Pandemic 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 201823.0% of 100 movements
Feb 201826.9% of 93 movements
Mar 201827.2% of 114 movements
Apr 201823.8% of 126 movements
May 201837.3% of 126 movements
Jun 201836.8% of 125 movements
Jul 201842.0% of 138 movements
Aug 201834.3% of 137 movements
Sep 201837.3% of 134 movements
Oct 201837.0% of 135 movements
Nov 201818.2% of 99 movements
Dec 201827.4% of 113 movements
Jan 201914.7% of 102 movements
Feb 201927.7% of 101 movements
Mar 201918.0% of 111 movements
Apr 201916.8% of 131 movements
May 201923.2% of 138 movements
Jun 201924.1% of 133 movements
Jul 201943.6% of 133 movements
Aug 201943.9% of 132 movements
Sep 201940.0% of 130 movements
Oct 201927.1% of 133 movements
Nov 20199.9% of 101 movements
Dec 201941.4% of 128 movements
Jan 202024.0% of 104 movements
Feb 202031.1% of 106 movements
Mar 202023.3% 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 20209.5% of 21 movements — small sample, not ranked
Sep 2020suppressed: fewer than twenty movements
Oct 2020suppressed: fewer than twenty movements
Nov 2020suppressed: fewer than twenty movements
Dec 2020suppressed: fewer than twenty movements
Jan 2021suppressed: fewer than twenty movements
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 2021no data
May 202128.2% of 39 movements — small sample, not ranked
Jun 2021no events in 37 movements — small sample, not ranked
Jul 20215.9% of 34 movements — small sample, not ranked
Aug 202115.0% of 40 movements — small sample, not ranked
Sep 20215.6% of 36 movements — small sample, not ranked
Oct 20216.8% of 44 movements — small sample, not ranked
Nov 20218.0% of 75 movements
Dec 202111.0% of 91 movements
Jan 20228.3% of 48 movements — small sample, not ranked
Feb 202213.0% of 54 movements
Mar 20226.9% of 72 movements
Apr 202219.6% of 107 movements
May 202224.3% of 111 movements
Jun 202232.0% of 103 movements
Jul 202233.3% of 105 movements
Aug 202238.5% of 104 movements
Sep 202243.6% of 110 movements
Oct 202239.5% of 114 movements
Nov 202231.0% of 58 movements
Dec 202245.2% of 104 movements
Jan 202326.9% of 78 movements
Feb 202330.8% of 65 movements
Mar 202346.3% of 82 movements
Apr 202328.3% of 106 movements
May 202325.0% of 108 movements
Jun 202329.9% of 107 movements
Jul 202339.3% of 107 movements
Aug 202335.1% of 111 movements
Sep 202348.2% of 114 movements
Oct 202329.8% of 114 movements
Nov 202323.5% of 85 movements
Dec 202338.5% of 91 movements
Jan 202421.5% of 79 movements
Feb 202425.3% of 79 movements
Mar 202434.4% of 96 movements
Apr 202415.3% of 144 movements
May 202422.8% of 149 movements
Jun 202427.7% of 141 movements
Jul 202445.1% of 142 movements
Aug 202445.5% of 134 movements
Sep 202470.2% of 141 movements
Oct 202445.3% of 139 movements
Nov 202414.3% of 91 movements
Dec 202428.7% of 108 movements
Jan 202518.0% of 89 movements
Feb 202517.4% of 92 movements
Mar 202530.7% of 101 movements
Apr 202517.2% of 151 movements
May 202528.1% of 160 movements
Jun 202532.9% of 149 movements
Jul 202538.9% of 149 movements
Aug 202542.9% of 156 movements
Sep 202540.3% of 149 movements
Oct 202526.6% of 143 movements
Nov 202513.0% of 92 movements
Dec 202516.5% of 115 movements
Jan 202616.1% of 87 movements
Feb 202622.7% of 88 movements
Mar 202618.0% of 111 movements
Apr 202616.7% of 162 movements
May 202619.5% of 164 movements
Jun 202632.7% of 156 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 2022Arrivals33.3% of 105 movements13.0% across 815 flightsstill above it 8 months later
Summer 2022 breakdown · Jul 2022Departures62.9% of 105 movements16.9% across 817 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals35.1% of 111 movements35.4% across 1,143 flightsreturned after 2 months
NATS system failure · Aug 2023Departures61.3% of 111 movements44.3% across 1,142 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals30.7% of 101 movements32.1% across 1,466 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures33.3% of 102 movements44.4% across 1,463 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, 42.0% of arrivals were disrupted, measured across 6 Septembers in the archive. November has been the calmest, at 16.2% across 6 Novembers.

Even September has ranged from 37.3% to 70.2% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201914.7% of 102 movements27.7% of 101 movements18.0% of 111 movements16.8% of 131 movements23.2% of 138 movements24.1% of 133 movements43.6% of 133 movements43.9% of 132 movements40.0% of 130 movements27.1% of 133 movements9.9% of 101 movements41.4% of 128 movements202024.0% of 104 movements31.1% of 106 movements23.3% of 86 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements9.5% of 21 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno data28.2% of 39 movements †no events in 37 movements †5.9% of 34 movements †15.0% of 40 movements †5.6% of 36 movements †6.8% of 44 movements †8.0% of 75 movements11.0% of 91 movements20228.3% of 48 movements †13.0% of 54 movements6.9% of 72 movements19.6% of 107 movements24.3% of 111 movements32.0% of 103 movements33.3% of 105 movements38.5% of 104 movements43.6% of 110 movements39.5% of 114 movements31.0% of 58 movements45.2% of 104 movements202326.9% of 78 movements30.8% of 65 movements46.3% of 82 movements28.3% of 106 movements25.0% of 108 movements29.9% of 107 movements39.3% of 107 movements35.1% of 111 movements48.2% of 114 movements29.8% of 114 movements23.5% of 85 movements38.5% of 91 movements202421.5% of 79 movements25.3% of 79 movements34.4% of 96 movements15.3% of 144 movements22.8% of 149 movements27.7% of 141 movements45.1% of 142 movements45.5% of 134 movements70.2% of 141 movements45.3% of 139 movements14.3% of 91 movements28.7% of 108 movements202518.0% of 89 movements17.4% of 92 movements30.7% of 101 movements17.2% of 151 movements28.1% of 160 movements32.9% of 149 movements38.9% of 149 movements42.9% of 156 movements40.3% of 149 movements26.6% of 143 movements13.0% of 92 movements16.5% of 115 movements202616.1% of 87 movements22.7% of 88 movements18.0% of 111 movements16.7% of 162 movements19.5% of 164 movements32.7% of 156 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan18.0%8.3–26.9%7 months, 583 flights
Feb25.3%13.0–30.8%7 months, 572 flights
Mar27.2%6.9–46.3%7 months, 687 flights
Apr17.2%15.3–28.3%7 months, 927 flights
May24.3%19.5–37.3%7 months, 956 flights
Jun32.0%24.1–36.8%7 months, 914 flights
Jul40.6%33.3–45.1%6 months, 774 flights
Aug40.7%34.3–45.5%6 months, 774 flights
Sep42.0%37.3–70.2%6 months, 778 flights
Oct33.4%26.6–45.3%6 months, 778 flights
Nov16.2%9.9–31.0%6 months, 526 flights
Dec33.6%16.5–45.2%6 months, 659 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: Easyjet Uk 20.2% of 529 movements, Air Portugal 25.5% of 619 movements, Ba Euroflyer British Airways 34.5% of 414 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 Portugal25.5% of 619 flightsBa Euroflyer British Airways34.5% of 414 flightsEasyjet Uk20.2% of 529 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Air Portugal61925.5% of 619 movements0.5% of 619 movementsno events in 619 movementsdescriptive comparison
Ba Euroflyer British Airways41434.5% of 414 movementsno events in 414 movements0.5% of 414 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 Uk52920.2% of 529 movements0.4% of 529 movements0.6% of 529 movementsdescriptive comparison
Enter Airsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Hi Fly Maltasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jet2.Comsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Privilege Stylesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Smartlynx Airlines (Latvia)suppressed: 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

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, LBA had the lowest disruption share at 20.3% of 59 movements and MAN the highest at 37.4% of 514 movements. This route sits at 26.6% of 1,572 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 ↔ Oporto-Portugal24.6% of 61 flightsBhx ↔ Oporto-Portugal30.3% of 244 flightsBrs ↔ Oporto-Portugal28.5% of 376 flightsEdi ↔ Oporto-Portugal28.8% of 208 flightsGla ↔ Oporto-Portugal30.3% of 66 flightsLba ↔ Oporto-Portugal20.3% of 59 flightsLpl ↔ Oporto-Portugal22.1% of 68 flightsLtn ↔ Oporto-Portugal28.9% of 194 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Oporto-Portugalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Oporto-Portugal6124.6% of 61 movementsno events in 61 movementsno events in 61 movementsdescriptive comparison
Bhx ↔ Oporto-Portugal24430.3% of 244 movementsno events in 244 movements0.4% of 244 movementsdescriptive comparison
Brs ↔ Oporto-Portugal37628.5% of 376 movements1.1% of 376 movements0.5% of 376 movementsdescriptive comparison
Edi ↔ Oporto-Portugal20828.8% of 208 movementsno events in 208 movementsno events in 208 movementsdescriptive comparison
Ema ↔ Oporto-Portugalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Oporto-Portugal6630.3% of 66 movementsno events in 66 movements1.5% of 66 movementsdescriptive comparison
Jer ↔ Oporto-Portugalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Oporto-Portugal5920.3% of 59 movements1.7% of 59 movements1.7% of 59 movementsdescriptive comparison
Lcy ↔ Oporto-Portugalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lhr ↔ Oporto-Portugalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ Oporto-Portugal6822.1% of 68 movementsno events in 68 movements1.5% of 68 movementsdescriptive comparison
Ltn ↔ Oporto-Portugal19428.9% of 194 movementsno events in 194 movementsno events in 194 movementsdescriptive comparison
Man ↔ Oporto-Portugal51437.4% of 514 movements0.2% of 514 movements0.6% of 514 movementsdescriptive comparison
Ncl ↔ Oporto-Portugalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sen ↔ Oporto-Portugalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Oporto-Portugal1,09228.8% of 1,092 movements0.3% of 1,092 movements0.4% of 1,092 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into LGW ran 26.6% of 1,572 movements disrupted, departures 35.3% of 1,568 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 LGW26.6% of 1,572 movements1.0% of 1,572 movements0.3% of 1,572 movements
Departures from LGW35.3% of 1,568 movements0.8% of 1,568 movements0.2% of 1,568 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 202669 flights out of 9,70069 × £220 = £15,180
ArrivalsLast 72 months · Jul 2020–Jun 202649 flights out of 6,49149 × £220 = £10,780
DeparturesWhole archive · Jan 2018–Jun 202650 flights out of 9,68450 × £220 = £11,000
DeparturesLast 72 months · Jul 2020–Jun 202632 flights out of 6,48632 × £220 = £7,040
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 / countryOPORTO (PORTUGAL) / PORTUGAL(EXCLUDING MADEIRA)
Final point codesOPO / LPPR
Great-circle distance1,279 km
Maximum statutory amount for the band£220
Average operated arrivals per day4.27
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: 1,572; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

26.6% of 1,572 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

1.0% of 1,572 movements in the same window.

How many delays crossed three hours?

0.3% of 1,572 movements in the same window; these are observed movements, not a count of claims.

What does the delay distribution look like?

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

What distance is used?

1,279 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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