UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

NCL ↔ PALMA DE MALLORCA

In the twelve months from July 2025 to June 2026, 44.1% of 842 movements arriving into NCL were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 55.9% of 842 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 140 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, 44.1% of 842 movements were disrupted and 0.2% of 842 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
44.1% of 842 movements0.2% of 842 movements36.2–57.9 min; N of delayed flights=369–567842
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: 0.2% of 842 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 min43.8%30 min29.0%60 min12.2%120 min2.9%180 min0.7%360 min0.1%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min43.8% of 842 movements3692.3
>30 min29.0% of 842 movements2443.5
>60 min12.2% of 842 movements1038.2
>120 min2.9% of 842 movements2435.1
>180 min0.7% of 842 movements6140.3
>360 min0.1% of 842 movements1842.0
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 early8510.1%15–1 early18822.3%0–15 late19823.5%16–3012514.8%31–6014116.7%61…120799.4%121…180182.1%181…36050.6%>36010.1%D=843
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0226; 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 2021, 5.7% of 70 movements. Worst month: Jul 2025, 62.8% of 129 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: 9.5%; sample: 21Apr 2018: 18.4%; sample: 87May 2018: 26.4%; sample: 125Jun 2018: 26.4%; sample: 144Jul 2018: 20.5%; sample: 151Aug 2018: 22.1%; sample: 149Sep 2018: 24.4%; sample: 135Oct 2018: 26.5%; sample: 117Nov 2018: suppressed: fewer than twenty movements×Dec 2018: no data×Jan 2019: no data×2019Feb 2019: no data×Mar 2019: suppressed: fewer than twenty movements×Apr 2019: 10.8%; sample: 93May 2019: 24.6%; sample: 130Jun 2019: 12.9%; sample: 147Jul 2019: 14.7%; sample: 156Aug 2019: 19.5%; sample: 154Sep 2019: 26.3%; sample: 137Oct 2019: 11.3%; sample: 106Nov 2019: suppressed: fewer than twenty movements×Dec 2019: no data×Jan 2020: no data×2020Feb 2020: no data×Mar 2020: suppressed: fewer than twenty movements×Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 0.0%; sample: 31Aug 2020: 10.6%; sample: 47Sep 2020: 0.0%; sample: 21Oct 2020: suppressed: fewer than twenty movements×Nov 2020: suppressed: fewer than twenty movements×Dec 2020: no data×Jan 2021: no data×2021Feb 2021: no data×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: no data×May 2021: no data×Jun 2021: suppressed: fewer than twenty movements×Jul 2021: 6.2%; sample: 64Aug 2021: 11.1%; sample: 81Sep 2021: 5.7%; sample: 70Oct 2021: 16.3%; sample: 49Nov 2021: suppressed: fewer than twenty movements×Dec 2021: no data×Jan 2022: no data×2022Feb 2022: suppressed: fewer than twenty movements×Mar 2022: suppressed: fewer than twenty movements×Apr 2022: 7.1%; sample: 56May 2022: 28.2%; sample: 103Jun 2022: 34.2%; sample: 111Jul 2022: 29.8%; sample: 124Aug 2022: 24.4%; sample: 127Sep 2022: 35.6%; sample: 101Oct 2022: 12.2%; sample: 98Nov 2022: suppressed: fewer than twenty movements×Dec 2022: no data×Jan 2023: no data×2023Feb 2023: suppressed: fewer than twenty movements×Mar 2023: suppressed: fewer than twenty movements×Apr 2023: 37.1%; sample: 70May 2023: 32.6%; sample: 89Jun 2023: 38.0%; sample: 108Jul 2023: 31.7%; sample: 126Aug 2023: 27.7%; sample: 130Sep 2023: 21.5%; sample: 107Oct 2023: 22.7%; sample: 97Nov 2023: suppressed: fewer than twenty movements×Dec 2023: no data×Jan 2024: no data×2024Feb 2024: suppressed: fewer than twenty movements×Mar 2024: suppressed: fewer than twenty movements×Apr 2024: 23.7%; sample: 76May 2024: 34.7%; sample: 101Jun 2024: 49.2%; sample: 120Jul 2024: 40.2%; sample: 132Aug 2024: 37.8%; sample: 135Sep 2024: 44.8%; sample: 105Oct 2024: 33.3%; sample: 90Nov 2024: suppressed: fewer than twenty movements×Dec 2024: no data×Jan 2025: no data×2025Feb 2025: suppressed: fewer than twenty movements×Mar 2025: suppressed: fewer than twenty movements×Apr 2025: 17.3%; sample: 75May 2025: 37.6%; sample: 109Jun 2025: 30.4%; sample: 125Jul 2025: 62.8%; sample: 129Aug 2025: 32.6%; sample: 141Sep 2025: 45.8%; sample: 120Oct 2025: 39.2%; sample: 97Nov 2025: suppressed: fewer than twenty movements×Dec 2025: no data×Jan 2026: no data×2026Feb 2026: suppressed: fewer than twenty movements×Mar 2026: 22.2%; sample: 27Apr 2026: 24.1%; sample: 79May 2026: 43.4%; sample: 113Jun 2026: 60.2%; sample: 123Pandemic 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 20189.5% of 21 movements — small sample, not ranked
Apr 201818.4% of 87 movements
May 201826.4% of 125 movements
Jun 201826.4% of 144 movements
Jul 201820.5% of 151 movements
Aug 201822.1% of 149 movements
Sep 201824.4% of 135 movements
Oct 201826.5% of 117 movements
Nov 2018suppressed: fewer than twenty movements
Dec 2018no data
Jan 2019no data
Feb 2019no data
Mar 2019suppressed: fewer than twenty movements
Apr 201910.8% of 93 movements
May 201924.6% of 130 movements
Jun 201912.9% of 147 movements
Jul 201914.7% of 156 movements
Aug 201919.5% of 154 movements
Sep 201926.3% of 137 movements
Oct 201911.3% of 106 movements
Nov 2019suppressed: fewer than twenty movements
Dec 2019no data
Jan 2020no data
Feb 2020no data
Mar 2020suppressed: fewer than twenty movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 2020no events in 31 movements — small sample, not ranked
Aug 202010.6% of 47 movements — small sample, not ranked
Sep 2020no events in 21 movements — small sample, not ranked
Oct 2020suppressed: fewer than twenty movements
Nov 2020suppressed: fewer than twenty movements
Dec 2020no data
Jan 2021no data
Feb 2021no data
Mar 2021suppressed: fewer than twenty movements
Apr 2021no data
May 2021no data
Jun 2021suppressed: fewer than twenty movements
Jul 20216.2% of 64 movements
Aug 202111.1% of 81 movements
Sep 20215.7% of 70 movements
Oct 202116.3% of 49 movements — small sample, not ranked
Nov 2021suppressed: fewer than twenty movements
Dec 2021no data
Jan 2022no data
Feb 2022suppressed: fewer than twenty movements
Mar 2022suppressed: fewer than twenty movements
Apr 20227.1% of 56 movements
May 202228.2% of 103 movements
Jun 202234.2% of 111 movements
Jul 202229.8% of 124 movements
Aug 202224.4% of 127 movements
Sep 202235.6% of 101 movements
Oct 202212.2% of 98 movements
Nov 2022suppressed: fewer than twenty movements
Dec 2022no data
Jan 2023no data
Feb 2023suppressed: fewer than twenty movements
Mar 2023suppressed: fewer than twenty movements
Apr 202337.1% of 70 movements
May 202332.6% of 89 movements
Jun 202338.0% of 108 movements
Jul 202331.7% of 126 movements
Aug 202327.7% of 130 movements
Sep 202321.5% of 107 movements
Oct 202322.7% of 97 movements
Nov 2023suppressed: fewer than twenty movements
Dec 2023no data
Jan 2024no data
Feb 2024suppressed: fewer than twenty movements
Mar 2024suppressed: fewer than twenty movements
Apr 202423.7% of 76 movements
May 202434.7% of 101 movements
Jun 202449.2% of 120 movements
Jul 202440.2% of 132 movements
Aug 202437.8% of 135 movements
Sep 202444.8% of 105 movements
Oct 202433.3% of 90 movements
Nov 2024suppressed: fewer than twenty movements
Dec 2024no data
Jan 2025no data
Feb 2025suppressed: fewer than twenty movements
Mar 2025suppressed: fewer than twenty movements
Apr 202517.3% of 75 movements
May 202537.6% of 109 movements
Jun 202530.4% of 125 movements
Jul 202562.8% of 129 movements
Aug 202532.6% of 141 movements
Sep 202545.8% of 120 movements
Oct 202539.2% of 97 movements
Nov 2025suppressed: fewer than twenty movements
Dec 2025no data
Jan 2026no data
Feb 2026suppressed: fewer than twenty movements
Mar 202622.2% of 27 movements — small sample, not ranked
Apr 202624.1% of 79 movements
May 202643.4% of 113 movements
Jun 202660.2% of 123 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 2022Arrivals29.8% of 124 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures48.0% of 123 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals27.7% of 130 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Departures33.6% of 131 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
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?

June has historically been the hardest month on this route: in a typical June, 34.2% of arrivals were disrupted, measured across 7 Junes in the archive. March has been the calmest, at 15.9% across 2 Marchs.

Even June has ranged from 12.9% to 60.2% 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 nJanFebMarAprMayJunJulAugSepOctNovDec2019no datano datasuppressed: fewer than twenty movements10.8% of 93 movements24.6% of 130 movements12.9% of 147 movements14.7% of 156 movements19.5% of 154 movements26.3% of 137 movements11.3% of 106 movementssuppressed: fewer than twenty movementsno data2020no datano datasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno events in 31 movements †10.6% of 47 movements †no events in 21 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno data2021no datano datasuppressed: fewer than twenty movementsno datano datasuppressed: fewer than twenty movements6.2% of 64 movements11.1% of 81 movements5.7% of 70 movements16.3% of 49 movements †suppressed: fewer than twenty movementsno data2022no datasuppressed: fewer than twenty movementssuppressed: fewer than twenty movements7.1% of 56 movements28.2% of 103 movements34.2% of 111 movements29.8% of 124 movements24.4% of 127 movements35.6% of 101 movements12.2% of 98 movementssuppressed: fewer than twenty movementsno data2023no datasuppressed: fewer than twenty movementssuppressed: fewer than twenty movements37.1% of 70 movements32.6% of 89 movements38.0% of 108 movements31.7% of 126 movements27.7% of 130 movements21.5% of 107 movements22.7% of 97 movementssuppressed: fewer than twenty movementsno data2024no datasuppressed: fewer than twenty movementssuppressed: fewer than twenty movements23.7% of 76 movements34.7% of 101 movements49.2% of 120 movements40.2% of 132 movements37.8% of 135 movements44.8% of 105 movements33.3% of 90 movementssuppressed: fewer than twenty movementsno data2025no datasuppressed: fewer than twenty movementssuppressed: fewer than twenty movements17.3% of 75 movements37.6% of 109 movements30.4% of 125 movements62.8% of 129 movements32.6% of 141 movements45.8% of 120 movements39.2% of 97 movementssuppressed: fewer than twenty movementsno data2026no datasuppressed: fewer than twenty movements22.2% of 27 movements †24.1% of 79 movements43.4% of 113 movements60.2% of 123 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Janno datano datano data
Febno datano datano data
Mar15.9%9.5–22.2%2 months, 48 flights
Apr18.4%7.1–37.1%7 months, 536 flights
May32.6%24.6–43.4%7 months, 770 flights
Jun34.2%12.9–60.2%7 months, 878 flights
Jul30.8%14.7–62.8%6 months, 818 flights
Aug26.1%19.5–37.8%6 months, 836 flights
Sep31.0%21.5–45.8%6 months, 705 flights
Oct24.6%11.3–39.2%6 months, 605 flights
Novno datano datano data
Decno datano datano data
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 Europe 12.2% of 41 movements — small sample, not ranked, Ryanair 36.6% of 183 movements, Jet2.Com 40.3% of 335 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 Europe †12.2% of 41 flightsEasyjet Uk43.9% of 114 flightsJet2.Com40.3% of 335 flightsRyanair36.6% of 183 flightsTui Airways67.5% of 169 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Air Europasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Air Francesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Air Onesuppressed: 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 Europe4112.2% of 41 movements — small sample, not rankedno events in 41 movements — small sample, not rankedno events in 41 movements — small sample, not rankedsmall sample; not ranked
Easyjet Uk11443.9% of 114 movements0.9% of 114 movements0.9% of 114 movementsdescriptive comparison
Jet2.Com33540.3% of 335 movementsno events in 335 movements0.6% of 335 movementsdescriptive comparison
Ryanair18336.6% of 183 movementsno events in 183 movements0.5% of 183 movementsdescriptive comparison
Thomas Cook Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Tui Airways16967.5% of 169 movements0.6% of 169 movements1.2% of 169 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, BHD had the lowest disruption share at 19.7% of 66 movements and ABZ the highest at 58.0% of 69 movements. This route sits at 44.1% of 842 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 optionAbz ↔ Palma-De-Mallorca58.0% of 69 flightsBfs ↔ Palma-De-Mallorca36.9% of 701 flightsBhd ↔ Palma-De-Mallorca19.7% of 66 flightsBhx ↔ Palma-De-Mallorca46.0% of 1,375 flightsBoh ↔ Palma-De-Mallorca45.9% of 553 flightsBrs ↔ Palma-De-Mallorca41.1% of 1,536 flightsCwl ↔ Palma-De-Mallorca54.2% of 142 flightsEdi ↔ Palma-De-Mallorca46.0% of 739 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Palma-De-Mallorca6958.0% of 69 movementsno events in 69 movementsno events in 69 movementsdescriptive comparison
Bfs ↔ Palma-De-Mallorca70136.9% of 701 movements0.6% of 701 movements1.6% of 701 movementsdescriptive comparison
Bhd ↔ Palma-De-Mallorca6619.7% of 66 movementsno events in 66 movements1.5% of 66 movementsdescriptive comparison
Bhx ↔ Palma-De-Mallorca1,37546.0% of 1,375 movements0.2% of 1,375 movements0.8% of 1,375 movementsdescriptive comparison
Boh ↔ Palma-De-Mallorca55345.9% of 553 movementsno events in 553 movements0.4% of 553 movementsdescriptive comparison
Brs ↔ Palma-De-Mallorca1,53641.1% of 1,536 movements0.8% of 1,536 movements1.0% of 1,536 movementsdescriptive comparison
Cwl ↔ Palma-De-Mallorca14254.2% of 142 movementsno events in 142 movements0.7% of 142 movementsdescriptive comparison
Doncaster-Sheffield ↔ Palma-De-Mallorcasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Palma-De-Mallorca73946.0% of 739 movements0.3% of 739 movements1.1% of 739 movementsdescriptive comparison
Ema ↔ Palma-De-Mallorca93929.0% of 939 movementsno events in 939 movements0.7% of 939 movementsdescriptive comparison
Ext ↔ Palma-De-Mallorca17629.0% of 176 movementsno events in 176 movementsno events in 176 movementsdescriptive comparison
Gla ↔ Palma-De-Mallorca62740.8% of 627 movements0.6% of 627 movements1.4% of 627 movementsdescriptive comparison
Iom ↔ Palma-De-Mallorca2055.0% of 20 movements — small sample, not rankedno events in 20 movements — small sample, not rankedno events in 20 movements — small sample, not rankedsmall sample; not ranked
Jer ↔ Palma-De-Mallorca3348.5% of 33 movements — small sample, not rankedno events in 33 movements — small sample, not ranked3.0% of 33 movements — small sample, not rankedsmall sample; not ranked
Lba ↔ Palma-De-Mallorca1,06840.5% of 1,068 movements0.4% of 1,068 movements1.4% of 1,068 movementsdescriptive comparison
Lcy ↔ Palma-De-Mallorca31142.4% of 311 movements1.6% of 311 movements1.3% of 311 movementsdescriptive comparison
Lgw ↔ Palma-De-Mallorca2,29745.6% of 2,297 movements1.3% of 2,297 movements1.3% of 2,297 movementsdescriptive comparison
Lhr ↔ Palma-De-Mallorca57537.9% of 575 movements1.4% of 575 movements1.2% of 575 movementsdescriptive comparison
Lpl ↔ Palma-De-Mallorca89133.4% of 891 movements0.4% of 891 movements0.7% of 891 movementsdescriptive comparison
Ltn ↔ Palma-De-Mallorca1,38239.7% of 1,382 movements0.7% of 1,382 movements0.6% of 1,382 movementsdescriptive comparison
Man ↔ Palma-De-Mallorca2,04254.9% of 2,042 movements0.2% of 2,042 movements1.7% of 2,042 movementsdescriptive comparison
Mme ↔ Palma-De-Mallorca10744.9% of 107 movementsno events in 107 movementsno events in 107 movementsdescriptive comparison
Sen ↔ Palma-De-Mallorca28922.5% of 289 movements0.7% of 289 movements0.3% of 289 movementsdescriptive comparison
Sou ↔ Palma-De-Mallorca8144.4% of 81 movements6.2% of 81 movementsno events in 81 movementsdescriptive comparison
Stn ↔ Palma-De-Mallorca1,42139.8% of 1,421 movements0.1% of 1,421 movements0.6% of 1,421 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into NCL ran 44.1% of 842 movements disrupted, departures 31.9% of 841 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 NCL44.1% of 842 movements0.2% of 842 movements0.7% of 842 movements
Departures from NCL31.9% of 841 movements0.2% of 841 movements0.6% of 841 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 202647 flights out of 5,71847 × £350 = £16,450
ArrivalsLast 72 months · Jul 2020–Jun 202628 flights out of 3,83028 × £350 = £9,800
DeparturesWhole archive · Jan 2018–Jun 202643 flights out of 5,71243 × £350 = £15,050
DeparturesLast 72 months · Jul 2020–Jun 202628 flights out of 3,82728 × £350 = £9,800
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 airportNEWCASTLE · NCL
Final point / countryPALMA DE MALLORCA / SPAIN
Final point codesPMI / LEPA
Great-circle distance1,753 km
Maximum statutory amount for the band£350
Average operated arrivals per day2.30
Presence in the latest twelve-month windowoperations are not present in every month; seasonality not established
First and last active monthMar 2018–Jun 2026
Months with operations in the archive74

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: 1; all recorded operations: 843; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

44.1% of 842 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.2% of 842 movements in the same window.

How many delays crossed three hours?

0.7% of 842 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?

1,753 km, great-circle.

Can compensation entitlement be established here?

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

Why do some cells say "no data"?

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

How this was calculated

Dataset version, input hashes and reconstruction rules

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

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

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

Your trip has already gone wrong — what now?

The official route to complain

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

Reconstruction and formulas

Open the versioned claim register

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