UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ NAPLES

In the twelve months from July 2025 to June 2026, 34.7% of 714 movements arriving into LHR were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 65.3% of 714 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 238 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, 34.7% of 714 movements were disrupted and 0.1% of 714 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
34.7% of 714 movements0.1% of 714 movements28.5–55.6 min; N of delayed flights=247–456714
Definitions, denominators and limits

The bounds account for CAA rounding and the unknown number of zero delays. A point average across all operated movements, including punctual ones, would answer a different question and is not used here.

When it is late, how late is it?

Most delays here are short. The ladder below shows how many arrivals crossed each threshold, from a quarter of an hour up to six hours; each rung can only be smaller than the one above it.

Cancellations are counted separately: 0.1% of 714 movements. “One in N” means how many arrivals you would typically see between events at that level.

Delay threshold ladder; count and share of known operations15 min34.6%30 min19.0%60 min6.2%120 min1.7%180 min0.4%360 min0.1%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min34.6% of 714 movements2472.9
>30 min19.0% of 714 movements1365.2
>60 min6.2% of 714 movements4416.2
>120 min1.7% of 714 movements1259.5
>180 min0.4% of 714 movements3238.0
>360 min0.1% of 714 movements1714.0
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 early507.0%15–1 early20729.0%0–15 late20929.3%16–3011115.5%31–609212.9%61…120324.5%121…18091.3%181…36020.3%>36010.1%D=714
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0148; corpus median 0.0217; 2056 routes in the corpus. The shape is compared conditionally among delays; the class name does not measure absolute frequency. Histogram counts and shares cover all recorded operations including unmatched records; reconstructed uniquely.

Has this route got better or worse since 2018?

Best month: Sep 2020, 6.0% of 50 movements. Worst month: Jul 2023, 83.9% of 93 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: no data×2018Feb 2018: no data×Mar 2018: no data×Apr 2018: no data×May 2018: no data×Jun 2018: no data×Jul 2018: no data×Aug 2018: no data×Sep 2018: no data×Oct 2018: no data×Nov 2018: no data×Dec 2018: no data×Jan 2019: no data×2019Feb 2019: no data×Mar 2019: no data×Apr 2019: no data×May 2019: no data×Jun 2019: no data×Jul 2019: no data×Aug 2019: no data×Sep 2019: no data×Oct 2019: no data×Nov 2019: no data×Dec 2019: no data×Jan 2020: no data×2020Feb 2020: no data×Mar 2020: no data×Apr 2020: no data×May 2020: no data×Jun 2020: no data×Jul 2020: suppressed: fewer than twenty movements×Aug 2020: 8.9%; sample: 45Sep 2020: 6.0%; sample: 50Oct 2020: 29.8%; sample: 57Nov 2020: suppressed: fewer than twenty movements×Dec 2020: suppressed: fewer than twenty movements×Jan 2021: suppressed: fewer than twenty movements×2021Feb 2021: no data×Mar 2021: no data×Apr 2021: no data×May 2021: suppressed: fewer than twenty movements×Jun 2021: suppressed: fewer than twenty movements×Jul 2021: 25.0%; sample: 20Aug 2021: 28.6%; sample: 28Sep 2021: 30.3%; sample: 33Oct 2021: 43.3%; sample: 30Nov 2021: 28.6%; sample: 21Dec 2021: 43.3%; sample: 30Jan 2022: suppressed: fewer than twenty movements×2022Feb 2022: suppressed: fewer than twenty movements×Mar 2022: 29.0%; sample: 31Apr 2022: 51.8%; sample: 56May 2022: 60.6%; sample: 71Jun 2022: 66.2%; sample: 71Jul 2022: 75.3%; sample: 85Aug 2022: 64.6%; sample: 79Sep 2022: 67.4%; sample: 89Oct 2022: 53.2%; sample: 94Nov 2022: 38.1%; sample: 21Dec 2022: 61.9%; sample: 21Jan 2023: 47.8%; sample: 232023Feb 2023: 45.0%; sample: 20Mar 2023: 88.6%; sample: 35Apr 2023: 62.2%; sample: 90May 2023: 60.9%; sample: 92Jun 2023: 63.3%; sample: 90Jul 2023: 83.9%; sample: 93Aug 2023: 67.8%; sample: 87Sep 2023: 71.2%; sample: 80Oct 2023: 57.0%; sample: 79Nov 2023: suppressed: fewer than twenty movements×Dec 2023: suppressed: fewer than twenty movements×Jan 2024: suppressed: fewer than twenty movements×2024Feb 2024: suppressed: fewer than twenty movements×Mar 2024: suppressed: fewer than twenty movements×Apr 2024: 35.6%; sample: 87May 2024: 44.7%; sample: 94Jun 2024: 42.7%; sample: 89Jul 2024: 67.7%; sample: 93Aug 2024: 52.7%; sample: 93Sep 2024: 69.2%; sample: 91Oct 2024: 48.1%; sample: 81Nov 2024: suppressed: fewer than twenty movements×Dec 2024: suppressed: fewer than twenty movements×Jan 2025: suppressed: fewer than twenty movements×2025Feb 2025: suppressed: fewer than twenty movements×Mar 2025: suppressed: fewer than twenty movements×Apr 2025: 20.0%; sample: 90May 2025: 28.0%; sample: 93Jun 2025: 51.2%; sample: 86Jul 2025: 46.2%; sample: 93Aug 2025: 34.8%; sample: 89Sep 2025: 48.1%; sample: 79Oct 2025: 50.0%; sample: 80Nov 2025: 38.1%; sample: 21Dec 2025: 28.6%; sample: 21Jan 2026: suppressed: fewer than twenty movements×2026Feb 2026: suppressed: fewer than twenty movements×Mar 2026: 32.1%; sample: 28Apr 2026: 16.7%; sample: 90May 2026: 21.5%; sample: 93Jun 2026: 35.2%; sample: 88Pandemic 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 2018no data
Feb 2018no data
Mar 2018no data
Apr 2018no data
May 2018no data
Jun 2018no data
Jul 2018no data
Aug 2018no data
Sep 2018no data
Oct 2018no data
Nov 2018no data
Dec 2018no data
Jan 2019no data
Feb 2019no data
Mar 2019no data
Apr 2019no data
May 2019no data
Jun 2019no data
Jul 2019no data
Aug 2019no data
Sep 2019no data
Oct 2019no data
Nov 2019no data
Dec 2019no data
Jan 2020no data
Feb 2020no data
Mar 2020no data
Apr 2020no data
May 2020no data
Jun 2020no data
Jul 2020suppressed: fewer than twenty movements
Aug 20208.9% of 45 movements — small sample, not ranked
Sep 20206.0% of 50 movements
Oct 202029.8% of 57 movements
Nov 2020suppressed: fewer than twenty movements
Dec 2020suppressed: fewer than twenty movements
Jan 2021suppressed: fewer than twenty movements
Feb 2021no data
Mar 2021no data
Apr 2021no data
May 2021suppressed: fewer than twenty movements
Jun 2021suppressed: fewer than twenty movements
Jul 202125.0% of 20 movements — small sample, not ranked
Aug 202128.6% of 28 movements — small sample, not ranked
Sep 202130.3% of 33 movements — small sample, not ranked
Oct 202143.3% of 30 movements — small sample, not ranked
Nov 202128.6% of 21 movements — small sample, not ranked
Dec 202143.3% of 30 movements — small sample, not ranked
Jan 2022suppressed: fewer than twenty movements
Feb 2022suppressed: fewer than twenty movements
Mar 202229.0% of 31 movements — small sample, not ranked
Apr 202251.8% of 56 movements
May 202260.6% of 71 movements
Jun 202266.2% of 71 movements
Jul 202275.3% of 85 movements
Aug 202264.6% of 79 movements
Sep 202267.4% of 89 movements
Oct 202253.2% of 94 movements
Nov 202238.1% of 21 movements — small sample, not ranked
Dec 202261.9% of 21 movements — small sample, not ranked
Jan 202347.8% of 23 movements — small sample, not ranked
Feb 202345.0% of 20 movements — small sample, not ranked
Mar 202388.6% of 35 movements — small sample, not ranked
Apr 202362.2% of 90 movements
May 202360.9% of 92 movements
Jun 202363.3% of 90 movements
Jul 202383.9% of 93 movements
Aug 202367.8% of 87 movements
Sep 202371.2% of 80 movements
Oct 202357.0% of 79 movements
Nov 2023suppressed: fewer than twenty movements
Dec 2023suppressed: fewer than twenty movements
Jan 2024suppressed: fewer than twenty movements
Feb 2024suppressed: fewer than twenty movements
Mar 2024suppressed: fewer than twenty movements
Apr 202435.6% of 87 movements
May 202444.7% of 94 movements
Jun 202442.7% of 89 movements
Jul 202467.7% of 93 movements
Aug 202452.7% of 93 movements
Sep 202469.2% of 91 movements
Oct 202448.1% of 81 movements
Nov 2024suppressed: fewer than twenty movements
Dec 2024suppressed: fewer than twenty movements
Jan 2025suppressed: fewer than twenty movements
Feb 2025suppressed: fewer than twenty movements
Mar 2025suppressed: fewer than twenty movements
Apr 202520.0% of 90 movements
May 202528.0% of 93 movements
Jun 202551.2% of 86 movements
Jul 202546.2% of 93 movements
Aug 202534.8% of 89 movements
Sep 202548.1% of 79 movements
Oct 202550.0% of 80 movements
Nov 202538.1% of 21 movements — small sample, not ranked
Dec 202528.6% of 21 movements — small sample, not ranked
Jan 2026suppressed: fewer than twenty movements
Feb 2026suppressed: fewer than twenty movements
Mar 202632.1% of 28 movements — small sample, not ranked
Apr 202616.7% of 90 movements
May 202621.5% of 93 movements
Jun 202635.2% of 88 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 2020Arrivalsno datano complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departuresno datano complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals75.3% of 85 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures69.4% of 85 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals67.8% of 87 movements61.4% across 747 flightsreturned after 2 months
NATS system failure · Aug 2023Departures49.4% of 87 movements45.5% across 748 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivalssuppressed: fewer than twenty movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Heathrow fire closure · Mar 2025Departuressuppressed: fewer than twenty movementsno complete baselinenot enough data: needs a complete baseline and a publishable event 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, 71.5% of arrivals were disrupted, measured across 4 Julys in the archive. March has been the calmest, at 32.1% across 3 Marchs.

Even July has ranged from 46.2% to 83.9% 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 nJanFebMarAprMayJunJulAugSepOctNovDec2019no datano datano datano datano datano datano datano datano datano datano datano data2020no datano datano datano datano datano datasuppressed: fewer than twenty movements8.9% of 45 movements †6.0% of 50 movements29.8% of 57 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementsno datano datano datasuppressed: fewer than twenty movementssuppressed: fewer than twenty movements25.0% of 20 movements †28.6% of 28 movements †30.3% of 33 movements †43.3% of 30 movements †28.6% of 21 movements †43.3% of 30 movements †2022suppressed: fewer than twenty movementssuppressed: fewer than twenty movements29.0% of 31 movements †51.8% of 56 movements60.6% of 71 movements66.2% of 71 movements75.3% of 85 movements64.6% of 79 movements67.4% of 89 movements53.2% of 94 movements38.1% of 21 movements †61.9% of 21 movements †202347.8% of 23 movements †45.0% of 20 movements †88.6% of 35 movements †62.2% of 90 movements60.9% of 92 movements63.3% of 90 movements83.9% of 93 movements67.8% of 87 movements71.2% of 80 movements57.0% of 79 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements2024suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements35.6% of 87 movements44.7% of 94 movements42.7% of 89 movements67.7% of 93 movements52.7% of 93 movements69.2% of 91 movements48.1% of 81 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements2025suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements20.0% of 90 movements28.0% of 93 movements51.2% of 86 movements46.2% of 93 movements34.8% of 89 movements48.1% of 79 movements50.0% of 80 movements38.1% of 21 movements †28.6% of 21 movements †2026suppressed: fewer than twenty movementssuppressed: fewer than twenty movements32.1% of 28 movements †16.7% of 90 movements21.5% of 93 movements35.2% of 88 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan47.8%47.8%1 months, 23 flights
Feb45.0%45.0%1 months, 20 flights
Mar32.1%29.0–88.6%3 months, 94 flights
Apr35.6%16.7–62.2%5 months, 413 flights
May44.7%21.5–60.9%5 months, 443 flights
Jun51.2%35.2–66.2%5 months, 424 flights
Jul71.5%46.2–83.9%4 months, 364 flights
Aug58.6%34.8–67.8%4 months, 348 flights
Sep68.3%48.1–71.2%4 months, 339 flights
Oct51.6%48.1–57.0%4 months, 334 flights
Nov38.1%38.1%2 months, 42 flights
Dec45.2%28.6–61.9%2 months, 42 flights
Definitions, denominators and limits

The matrix shows the last eight calendar years, including an incomplete final year; the start of the archive is kept in the history above. Seasonal summaries use the whole available archive, excluding the pandemic regime 2020–2021; this is an observed range, not a forecast. Zero events, missing data and suppressed cells are marked separately. † marks a small sample, described but not ranked. For ranges the colour follows the upper bound.

Which airline has the better record here?

Only one carrier published enough flights here to report: British Airways Plc, 34.8% of 713 movements disrupted.

Figures cover arrivals, July 2025 to June 2026; lower is better in every column. Carriers with fewer than twenty published flights are suppressed rather than shown as zero. The page makes no ranking: the operations behind these shares are not matched for aircraft, time of day or season.

Observed disruption share by optionBritish Airways34.8% of 713 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
American Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
British Airways71334.8% of 713 movements0.1% of 713 movements0.4% of 713 movementsdescriptive comparison

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 34.7% of 714 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 flightsLgw ↔ Naples33.3% of 966 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
Lgw ↔ Naples96633.3% of 966 movements1.2% of 966 movements1.2% of 966 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 LHR ran 34.7% of 714 movements disrupted, departures 23.1% of 713 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 LHR34.7% of 714 movements0.1% of 714 movements0.4% of 714 movements
Departures from LHR23.1% of 713 movements0.1% of 713 movementsno events in 713 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 202624 flights out of 3,42524 × £350 = £8,400
ArrivalsLast 72 months · Jul 2020–Jun 202624 flights out of 3,42524 × £350 = £8,400
DeparturesWhole archive · Jan 2018–Jun 20268 flights out of 3,4178 × £350 = £2,800
DeparturesLast 72 months · Jul 2020–Jun 20268 flights out of 3,4178 × £350 = £2,800
Definitions, denominators and limits

Full formula: the count is the sum of the two tail buckets across months, carriers and service types in one direction; the ceiling is that count multiplied by the maximum statutory amount for the distance band. The condition is: if every such delay had been the carrier's fault and a claim had been filed on every one of them.

This is conditional arithmetic over operations: passenger numbers, legal applicability and the number of claims are all unknown. For departures it is an arithmetic scenario only, because arrival at the final point is not observed. For long routes the maximum ceiling is used; any reduction in the payable amount is not calculated.

The archive window is counted from the last month of data, not from today: this is not a limitation check for an individual case. The CAA states six years for England and Wales and five for Scotland. CAA: time limits and how to complain. Information, not a legal service.

The facts about this route

Route reference table: codes, distance, frequency, archive span
FieldValue
UK airportHEATHROW · LHR
Final point / countryNAPLES / ITALY
Final point codesNAP / LIRN
Great-circle distance1,630 km
Maximum statutory amount for the band£350
Average operated arrivals per day1.95
Presence in the latest twelve-month windowoperations present in every month of the latest twelve-month window
First and last active monthJul 2020–Jun 2026
Months with operations in the archive69

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: 714; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

34.7% of 714 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.1% of 714 movements in the same window.

How many delays crossed three hours?

0.4% of 714 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?

1,630 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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