UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LGW ↔ NAPLES

In the twelve months from July 2025 to June 2026, 33.3% of 966 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, 66.7% of 966 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 80 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, 33.3% of 966 movements were disrupted and 1.2% of 966 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
33.3% of 966 movements1.2% of 966 movements41.5–70.0 min; N of delayed flights=310–500966
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: 1.2% of 966 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 min32.1%30 min22.8%60 min10.4%120 min3.0%180 min1.2%360 min0.7%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min32.1% of 966 movements3103.1
>30 min22.8% of 966 movements2204.4
>60 min10.4% of 966 movements1009.7
>120 min3.0% of 966 movements2933.3
>180 min1.2% of 966 movements1280.5
>360 min0.7% of 966 movements7138.0
Definitions, denominators and limits

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

Slightly late, or occasionally a disaster?

This route runs late less often than most, but when it does go wrong it tends to go badly wrong: its long delays are heavier than on the typical UK route.

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

Nine delay buckets, minutes; share of all recorded operations>15 early19119.8%15–1 early26327.2%0–15 late19019.7%16–30909.3%31–6012012.4%61…120717.3%121…180171.8%181…36050.5%>36070.7%D=966
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0571; 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, 9.2% of 65 movements. Worst month: Jul 2023, 91.7% of 108 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: 14.3%; sample: 562018Feb 2018: 14.5%; sample: 55Mar 2018: 15.2%; sample: 79Apr 2018: 28.1%; sample: 139May 2018: 40.0%; sample: 155Jun 2018: 43.4%; sample: 159Jul 2018: 60.4%; sample: 164Aug 2018: 60.4%; sample: 169Sep 2018: 46.8%; sample: 154Oct 2018: 24.6%; sample: 142Nov 2018: 21.8%; sample: 55Dec 2018: 40.0%; sample: 65Jan 2019: 21.8%; sample: 552019Feb 2019: 29.1%; sample: 55Mar 2019: 34.4%; sample: 64Apr 2019: 22.1%; sample: 136May 2019: 35.6%; sample: 163Jun 2019: 48.8%; sample: 162Jul 2019: 69.4%; sample: 170Aug 2019: 61.5%; sample: 174Sep 2019: 51.0%; sample: 155Oct 2019: 26.4%; sample: 144Nov 2019: 18.6%; sample: 59Dec 2019: 29.9%; sample: 77Jan 2020: 20.4%; sample: 542020Feb 2020: 44.4%; sample: 63Mar 2020: 41.5%; sample: 41Apr 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: 4.3%; sample: 23Sep 2020: 2.9%; sample: 34Oct 2020: 4.3%; 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: suppressed: fewer than twenty movements×Jul 2021: suppressed: fewer than twenty movements×Aug 2021: 10.0%; sample: 30Sep 2021: 19.2%; sample: 26Oct 2021: suppressed: fewer than twenty movements×Nov 2021: suppressed: fewer than twenty movements×Dec 2021: 3.4%; sample: 29Jan 2022: suppressed: fewer than twenty movements×2022Feb 2022: 28.6%; sample: 21Mar 2022: 12.5%; sample: 40Apr 2022: 43.8%; sample: 89May 2022: 59.8%; sample: 97Jun 2022: 64.0%; sample: 89Jul 2022: 61.5%; sample: 96Aug 2022: 66.7%; sample: 96Sep 2022: 67.4%; sample: 95Oct 2022: 48.4%; sample: 91Nov 2022: 13.3%; sample: 60Dec 2022: 34.9%; sample: 63Jan 2023: 10.3%; sample: 582023Feb 2023: 10.9%; sample: 55Mar 2023: 44.4%; sample: 63Apr 2023: 53.8%; sample: 78May 2023: 53.8%; sample: 78Jun 2023: 68.4%; sample: 95Jul 2023: 91.7%; sample: 108Aug 2023: 76.6%; sample: 111Sep 2023: 60.4%; sample: 91Oct 2023: 43.5%; sample: 92Nov 2023: 22.4%; sample: 49Dec 2023: 26.2%; sample: 61Jan 2024: 19.0%; sample: 422024Feb 2024: 9.6%; sample: 52Mar 2024: 18.8%; sample: 64Apr 2024: 24.6%; sample: 126May 2024: 27.1%; sample: 129Jun 2024: 63.0%; sample: 138Jul 2024: 90.7%; sample: 151Aug 2024: 75.7%; sample: 152Sep 2024: 53.4%; sample: 146Oct 2024: 29.4%; sample: 136Nov 2024: 12.7%; sample: 55Dec 2024: 25.0%; sample: 72Jan 2025: 25.5%; sample: 512025Feb 2025: 14.1%; sample: 64Mar 2025: 11.9%; sample: 84Apr 2025: 16.5%; sample: 97May 2025: 27.5%; sample: 102Jun 2025: 47.5%; sample: 101Jul 2025: 59.3%; sample: 108Aug 2025: 54.0%; sample: 113Sep 2025: 55.6%; sample: 99Oct 2025: 26.2%; sample: 103Nov 2025: 6.5%; sample: 46Dec 2025: 14.0%; sample: 57Jan 2026: 24.1%; sample: 292026Feb 2026: 14.6%; sample: 41Mar 2026: 9.2%; sample: 65Apr 2026: 11.2%; sample: 98May 2026: 27.6%; sample: 105Jun 2026: 44.1%; sample: 102Pandemic 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 201814.3% of 56 movements
Feb 201814.5% of 55 movements
Mar 201815.2% of 79 movements
Apr 201828.1% of 139 movements
May 201840.0% of 155 movements
Jun 201843.4% of 159 movements
Jul 201860.4% of 164 movements
Aug 201860.4% of 169 movements
Sep 201846.8% of 154 movements
Oct 201824.6% of 142 movements
Nov 201821.8% of 55 movements
Dec 201840.0% of 65 movements
Jan 201921.8% of 55 movements
Feb 201929.1% of 55 movements
Mar 201934.4% of 64 movements
Apr 201922.1% of 136 movements
May 201935.6% of 163 movements
Jun 201948.8% of 162 movements
Jul 201969.4% of 170 movements
Aug 201961.5% of 174 movements
Sep 201951.0% of 155 movements
Oct 201926.4% of 144 movements
Nov 201918.6% of 59 movements
Dec 201929.9% of 77 movements
Jan 202020.4% of 54 movements
Feb 202044.4% of 63 movements
Mar 202041.5% of 41 movements — small sample, not ranked
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 2020suppressed: fewer than twenty movements
Aug 20204.3% of 23 movements — small sample, not ranked
Sep 20202.9% of 34 movements — small sample, not ranked
Oct 20204.3% of 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 2021suppressed: fewer than twenty movements
Jul 2021suppressed: fewer than twenty movements
Aug 202110.0% of 30 movements — small sample, not ranked
Sep 202119.2% of 26 movements — small sample, not ranked
Oct 2021suppressed: fewer than twenty movements
Nov 2021suppressed: fewer than twenty movements
Dec 20213.4% of 29 movements — small sample, not ranked
Jan 2022suppressed: fewer than twenty movements
Feb 202228.6% of 21 movements — small sample, not ranked
Mar 202212.5% of 40 movements — small sample, not ranked
Apr 202243.8% of 89 movements
May 202259.8% of 97 movements
Jun 202264.0% of 89 movements
Jul 202261.5% of 96 movements
Aug 202266.7% of 96 movements
Sep 202267.4% of 95 movements
Oct 202248.4% of 91 movements
Nov 202213.3% of 60 movements
Dec 202234.9% of 63 movements
Jan 202310.3% of 58 movements
Feb 202310.9% of 55 movements
Mar 202344.4% of 63 movements
Apr 202353.8% of 78 movements
May 202353.8% of 78 movements
Jun 202368.4% of 95 movements
Jul 202391.7% of 108 movements
Aug 202376.6% of 111 movements
Sep 202360.4% of 91 movements
Oct 202343.5% of 92 movements
Nov 202322.4% of 49 movements — small sample, not ranked
Dec 202326.2% of 61 movements
Jan 202419.0% of 42 movements — small sample, not ranked
Feb 20249.6% of 52 movements
Mar 202418.8% of 64 movements
Apr 202424.6% of 126 movements
May 202427.1% of 129 movements
Jun 202463.0% of 138 movements
Jul 202490.7% of 151 movements
Aug 202475.7% of 152 movements
Sep 202453.4% of 146 movements
Oct 202429.4% of 136 movements
Nov 202412.7% of 55 movements
Dec 202425.0% of 72 movements
Jan 202525.5% of 51 movements
Feb 202514.1% of 64 movements
Mar 202511.9% of 84 movements
Apr 202516.5% of 97 movements
May 202527.5% of 102 movements
Jun 202547.5% of 101 movements
Jul 202559.3% of 108 movements
Aug 202554.0% of 113 movements
Sep 202555.6% of 99 movements
Oct 202526.2% of 103 movements
Nov 20256.5% of 46 movements — small sample, not ranked
Dec 202514.0% of 57 movements
Jan 202624.1% of 29 movements — small sample, not ranked
Feb 202614.6% of 41 movements — small sample, not ranked
Mar 20269.2% of 65 movements
Apr 202611.2% of 98 movements
May 202627.6% of 105 movements
Jun 202644.1% of 102 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 2022Arrivals61.5% of 96 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures58.3% of 96 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals76.6% of 111 movements47.0% across 940 flightsreturned after 2 months
NATS system failure · Aug 2023Departures71.2% of 111 movements42.0% across 939 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals11.9% of 84 movements38.3% across 1,284 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures6.0% of 84 movements36.1% across 1,289 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, 65.4% of arrivals were disrupted, measured across 6 Julys in the archive. February has been the calmest, at 14.5% across 7 Februarys.

Even July has ranged from 59.3% to 91.7% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201921.8% of 55 movements29.1% of 55 movements34.4% of 64 movements22.1% of 136 movements35.6% of 163 movements48.8% of 162 movements69.4% of 170 movements61.5% of 174 movements51.0% of 155 movements26.4% of 144 movements18.6% of 59 movements29.9% of 77 movements202020.4% of 54 movements44.4% of 63 movements41.5% of 41 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements4.3% of 23 movements †2.9% of 34 movements †4.3% of 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 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements10.0% of 30 movements †19.2% of 26 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movements3.4% of 29 movements †2022suppressed: fewer than twenty movements28.6% of 21 movements †12.5% of 40 movements †43.8% of 89 movements59.8% of 97 movements64.0% of 89 movements61.5% of 96 movements66.7% of 96 movements67.4% of 95 movements48.4% of 91 movements13.3% of 60 movements34.9% of 63 movements202310.3% of 58 movements10.9% of 55 movements44.4% of 63 movements53.8% of 78 movements53.8% of 78 movements68.4% of 95 movements91.7% of 108 movements76.6% of 111 movements60.4% of 91 movements43.5% of 92 movements22.4% of 49 movements †26.2% of 61 movements202419.0% of 42 movements †9.6% of 52 movements18.8% of 64 movements24.6% of 126 movements27.1% of 129 movements63.0% of 138 movements90.7% of 151 movements75.7% of 152 movements53.4% of 146 movements29.4% of 136 movements12.7% of 55 movements25.0% of 72 movements202525.5% of 51 movements14.1% of 64 movements11.9% of 84 movements16.5% of 97 movements27.5% of 102 movements47.5% of 101 movements59.3% of 108 movements54.0% of 113 movements55.6% of 99 movements26.2% of 103 movements6.5% of 46 movements †14.0% of 57 movements202624.1% of 29 movements †14.6% of 41 movements †9.2% of 65 movements11.2% of 98 movements27.6% of 105 movements44.1% of 102 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan20.4%10.3–25.5%6 months, 291 flights
Feb14.5%9.6–29.1%7 months, 343 flights
Mar15.2%9.2–44.4%7 months, 459 flights
Apr24.6%11.2–53.8%7 months, 763 flights
May35.6%27.1–59.8%7 months, 829 flights
Jun48.8%43.4–68.4%7 months, 846 flights
Jul65.4%59.3–91.7%6 months, 797 flights
Aug64.1%54.0–76.6%6 months, 815 flights
Sep54.5%46.8–67.4%6 months, 740 flights
Oct27.9%24.6–48.4%6 months, 708 flights
Nov16.0%6.5–22.4%6 months, 324 flights
Dec28.0%14.0–40.0%6 months, 395 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 28.6% of 885 movements, Tui Airways 80.3% of 61 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 optionEasyjet Uk28.6% of 885 flightsTui Airways80.3% of 61 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
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 Uk88528.6% of 885 movements0.2% of 885 movements1.1% of 885 movementsdescriptive comparison
Jet2.Comsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Meridiana Airsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Neos Spasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Norwegian Air Internationalsuppressed: 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
Tui Airways6180.3% of 61 movementsno events in 61 movements3.3% of 61 movementsdescriptive comparison
Wizz Airsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Wizz Air Maltasuppressed: 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, EMA had the lowest disruption share at 20.5% of 73 movements and NCL the highest at 64.0% of 50 movements. This route sits at 33.3% of 966 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 ↔ Naples46.2% of 132 flightsBrs ↔ Naples39.1% of 128 flightsEdi ↔ Naples42.4% of 255 flightsEma ↔ Naples20.5% of 73 flightsGla ↔ Naples56.6% of 53 flightsLba ↔ Naples34.9% of 63 flightsLhr ↔ Naples34.7% of 714 flightsLtn ↔ Naples42.0% of 421 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Naplessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Naplessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Naples13246.2% of 132 movementsno events in 132 movements0.8% of 132 movementsdescriptive comparison
Boh ↔ Naplessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Naples12839.1% of 128 movementsno events in 128 movements0.8% of 128 movementsdescriptive comparison
Cwl ↔ Naplessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Naplessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Durham-Tees-Valley ↔ Naplessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Naples25542.4% of 255 movements0.4% of 255 movements2.0% of 255 movementsdescriptive comparison
Ema ↔ Naples7320.5% of 73 movementsno events in 73 movementsno events in 73 movementsdescriptive comparison
Ext ↔ Naplessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Naples5356.6% of 53 movementsno events in 53 movements1.9% of 53 movementsdescriptive comparison
Lba ↔ Naples6334.9% of 63 movementsno events in 63 movementsno events in 63 movementsdescriptive comparison
Lhr ↔ Naples71434.7% of 714 movements0.1% of 714 movements0.4% of 714 movementsdescriptive comparison
Lpl ↔ Naplessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Naples42142.0% of 421 movements0.5% of 421 movements0.7% of 421 movementsdescriptive comparison
Man ↔ Naples58553.2% of 585 movements0.2% of 585 movements1.0% of 585 movementsdescriptive comparison
Ncl ↔ Naples5064.0% of 50 movementsno events in 50 movementsno events in 50 movementsdescriptive comparison
Sen ↔ Naplessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Naples58642.3% of 586 movements0.3% of 586 movements0.3% of 586 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into LGW ran 33.3% of 966 movements disrupted, departures 29.1% of 965 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 LGW33.3% of 966 movements1.2% of 966 movements1.2% of 966 movements
Departures from LGW29.1% of 965 movements1.2% of 965 movements0.1% of 965 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 202684 flights out of 7,71484 × £350 = £29,400
ArrivalsLast 72 months · Jul 2020–Jun 202660 flights out of 4,75060 × £350 = £21,000
DeparturesWhole archive · Jan 2018–Jun 202646 flights out of 7,71746 × £350 = £16,100
DeparturesLast 72 months · Jul 2020–Jun 202637 flights out of 4,74637 × £350 = £12,950
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 / countryNAPLES / ITALY
Final point codesNAP / LIRN
Great-circle distance1,592 km
Maximum statutory amount for the band£350
Average operated arrivals per day2.61
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: 966; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

33.3% of 966 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

1.2% of 966 movements in the same window.

How many delays crossed three hours?

1.2% of 966 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?

1,592 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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