UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

STN ↔ PALMA DE MALLORCA

In the twelve months from July 2025 to June 2026, 39.8% of 1,421 movements arriving into STN were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 60.2% of 1,421 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 158 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, 39.8% of 1,421 movements were disrupted and 0.1% of 1,421 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
39.8% of 1,421 movements0.1% of 1,421 movements35.0–59.7 min; N of delayed flights=564–9221,421
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 1,421 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 min39.7%30 min25.4%60 min12.4%120 min3.1%180 min0.6%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min39.7% of 1,421 movements5642.5
>30 min25.4% of 1,421 movements3613.9
>60 min12.4% of 1,421 movements1768.1
>120 min3.1% of 1,421 movements4432.3
>180 min0.6% of 1,421 movements9157.9
>360 minno events in 1,421 movements0no observed events, which is not zero risk
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 early1138.0%15–1 early38527.1%0–15 late35825.2%16–3020314.3%31–6018513.0%61…1201329.3%121…180352.5%181…36090.6%>36000.0%D=1,421
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0232; 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: Aug 2020, 7.7% of 78 movements. Worst month: Jun 2024, 60.1% of 178 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: 41.7%; sample: 362018Feb 2018: 34.0%; sample: 47Mar 2018: 44.7%; sample: 76Apr 2018: 42.4%; sample: 125May 2018: 50.0%; sample: 158Jun 2018: 59.9%; sample: 187Jul 2018: 57.8%; sample: 199Aug 2018: 54.2%; sample: 216Sep 2018: 44.2%; sample: 197Oct 2018: 48.7%; sample: 158Nov 2018: 10.8%; sample: 37Dec 2018: 22.7%; sample: 44Jan 2019: 23.5%; sample: 342019Feb 2019: 17.6%; sample: 34Mar 2019: 14.8%; sample: 61Apr 2019: 33.3%; sample: 123May 2019: 35.2%; sample: 165Jun 2019: 35.9%; sample: 198Jul 2019: 28.1%; sample: 203Aug 2019: 30.7%; sample: 215Sep 2019: 37.5%; sample: 192Oct 2019: 26.5%; sample: 155Nov 2019: 2.6%; sample: 38Dec 2019: 22.7%; sample: 44Jan 2020: 17.2%; sample: 292020Feb 2020: 26.5%; sample: 34Mar 2020: 8.3%; sample: 36Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 2.6%; sample: 39Aug 2020: 7.7%; sample: 78Sep 2020: 0.0%; sample: 42Oct 2020: 2.9%; sample: 35Nov 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: suppressed: fewer than twenty movements×May 2021: suppressed: fewer than twenty movements×Jun 2021: 7.1%; sample: 42Jul 2021: 21.1%; sample: 114Aug 2021: 16.7%; sample: 126Sep 2021: 16.2%; sample: 111Oct 2021: 28.2%; sample: 103Nov 2021: 22.7%; sample: 22Dec 2021: 17.4%; sample: 23Jan 2022: suppressed: fewer than twenty movements×2022Feb 2022: 22.7%; sample: 22Mar 2022: 19.5%; sample: 41Apr 2022: 32.1%; sample: 109May 2022: 36.2%; sample: 141Jun 2022: 53.4%; sample: 163Jul 2022: 48.9%; sample: 174Aug 2022: 47.7%; sample: 176Sep 2022: 56.9%; sample: 153Oct 2022: 43.0%; sample: 135Nov 2022: 17.1%; sample: 35Dec 2022: 27.3%; sample: 33Jan 2023: 15.6%; sample: 322023Feb 2023: 31.4%; sample: 35Mar 2023: 42.3%; sample: 52Apr 2023: 55.3%; sample: 132May 2023: 40.0%; sample: 165Jun 2023: 52.0%; sample: 171Jul 2023: 43.7%; sample: 199Aug 2023: 44.0%; sample: 209Sep 2023: 37.2%; sample: 188Oct 2023: 47.4%; sample: 152Nov 2023: 31.4%; sample: 35Dec 2023: 22.6%; sample: 31Jan 2024: 12.1%; sample: 332024Feb 2024: 8.8%; sample: 34Mar 2024: 8.2%; sample: 49Apr 2024: 43.0%; sample: 121May 2024: 49.4%; sample: 160Jun 2024: 60.1%; sample: 178Jul 2024: 54.0%; sample: 198Aug 2024: 46.4%; sample: 207Sep 2024: 48.6%; sample: 177Oct 2024: 40.7%; sample: 145Nov 2024: 33.3%; sample: 45Dec 2024: 47.6%; sample: 42Jan 2025: 28.2%; sample: 392025Feb 2025: 24.4%; sample: 41Mar 2025: 13.8%; sample: 65Apr 2025: 24.4%; sample: 123May 2025: 36.8%; sample: 163Jun 2025: 42.4%; sample: 172Jul 2025: 59.8%; sample: 199Aug 2025: 35.5%; sample: 211Sep 2025: 52.1%; sample: 192Oct 2025: 41.1%; sample: 146Nov 2025: 17.8%; sample: 45Dec 2025: 12.5%; sample: 40Jan 2026: 14.3%; sample: 282026Feb 2026: 21.9%; sample: 32Mar 2026: 19.0%; sample: 58Apr 2026: 19.8%; sample: 131May 2026: 36.4%; sample: 165Jun 2026: 51.7%; sample: 174Pandemic 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 201841.7% of 36 movements — small sample, not ranked
Feb 201834.0% of 47 movements — small sample, not ranked
Mar 201844.7% of 76 movements
Apr 201842.4% of 125 movements
May 201850.0% of 158 movements
Jun 201859.9% of 187 movements
Jul 201857.8% of 199 movements
Aug 201854.2% of 216 movements
Sep 201844.2% of 197 movements
Oct 201848.7% of 158 movements
Nov 201810.8% of 37 movements — small sample, not ranked
Dec 201822.7% of 44 movements — small sample, not ranked
Jan 201923.5% of 34 movements — small sample, not ranked
Feb 201917.6% of 34 movements — small sample, not ranked
Mar 201914.8% of 61 movements
Apr 201933.3% of 123 movements
May 201935.2% of 165 movements
Jun 201935.9% of 198 movements
Jul 201928.1% of 203 movements
Aug 201930.7% of 215 movements
Sep 201937.5% of 192 movements
Oct 201926.5% of 155 movements
Nov 20192.6% of 38 movements — small sample, not ranked
Dec 201922.7% of 44 movements — small sample, not ranked
Jan 202017.2% of 29 movements — small sample, not ranked
Feb 202026.5% of 34 movements — small sample, not ranked
Mar 20208.3% of 36 movements — small sample, not ranked
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 20202.6% of 39 movements — small sample, not ranked
Aug 20207.7% of 78 movements
Sep 2020no events in 42 movements — small sample, not ranked
Oct 20202.9% of 35 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 2021suppressed: fewer than twenty movements
May 2021suppressed: fewer than twenty movements
Jun 20217.1% of 42 movements — small sample, not ranked
Jul 202121.1% of 114 movements
Aug 202116.7% of 126 movements
Sep 202116.2% of 111 movements
Oct 202128.2% of 103 movements
Nov 202122.7% of 22 movements — small sample, not ranked
Dec 202117.4% of 23 movements — small sample, not ranked
Jan 2022suppressed: fewer than twenty movements
Feb 202222.7% of 22 movements — small sample, not ranked
Mar 202219.5% of 41 movements — small sample, not ranked
Apr 202232.1% of 109 movements
May 202236.2% of 141 movements
Jun 202253.4% of 163 movements
Jul 202248.9% of 174 movements
Aug 202247.7% of 176 movements
Sep 202256.9% of 153 movements
Oct 202243.0% of 135 movements
Nov 202217.1% of 35 movements — small sample, not ranked
Dec 202227.3% of 33 movements — small sample, not ranked
Jan 202315.6% of 32 movements — small sample, not ranked
Feb 202331.4% of 35 movements — small sample, not ranked
Mar 202342.3% of 52 movements
Apr 202355.3% of 132 movements
May 202340.0% of 165 movements
Jun 202352.0% of 171 movements
Jul 202343.7% of 199 movements
Aug 202344.0% of 209 movements
Sep 202337.2% of 188 movements
Oct 202347.4% of 152 movements
Nov 202331.4% of 35 movements — small sample, not ranked
Dec 202322.6% of 31 movements — small sample, not ranked
Jan 202412.1% of 33 movements — small sample, not ranked
Feb 20248.8% of 34 movements — small sample, not ranked
Mar 20248.2% of 49 movements — small sample, not ranked
Apr 202443.0% of 121 movements
May 202449.4% of 160 movements
Jun 202460.1% of 178 movements
Jul 202454.0% of 198 movements
Aug 202446.4% of 207 movements
Sep 202448.6% of 177 movements
Oct 202440.7% of 145 movements
Nov 202433.3% of 45 movements — small sample, not ranked
Dec 202447.6% of 42 movements — small sample, not ranked
Jan 202528.2% of 39 movements — small sample, not ranked
Feb 202524.4% of 41 movements — small sample, not ranked
Mar 202513.8% of 65 movements
Apr 202524.4% of 123 movements
May 202536.8% of 163 movements
Jun 202542.4% of 172 movements
Jul 202559.8% of 199 movements
Aug 202535.5% of 211 movements
Sep 202552.1% of 192 movements
Oct 202541.1% of 146 movements
Nov 202517.8% of 45 movements — small sample, not ranked
Dec 202512.5% of 40 movements — small sample, not ranked
Jan 202614.3% of 28 movements — small sample, not ranked
Feb 202621.9% of 32 movements — small sample, not ranked
Mar 202619.0% of 58 movements
Apr 202619.8% of 131 movements
May 202636.4% of 165 movements
Jun 202651.7% of 174 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 2022Arrivals48.9% of 174 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures32.4% of 173 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals44.0% of 209 movements39.4% across 1,318 flightsreturned the next month
NATS system failure · Aug 2023Departures36.7% of 215 movements37.2% across 1,307 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals13.8% of 65 movements40.3% across 1,402 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures30.8% of 65 movements37.7% across 1,401 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?

June has historically been the hardest month on this route: in a typical June, 52.0% of arrivals were disrupted, measured across 7 Junes in the archive. November has been the calmest, at 17.5% across 6 Novembers.

Even June has ranged from 35.9% to 60.1% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201923.5% of 34 movements †17.6% of 34 movements †14.8% of 61 movements33.3% of 123 movements35.2% of 165 movements35.9% of 198 movements28.1% of 203 movements30.7% of 215 movements37.5% of 192 movements26.5% of 155 movements2.6% of 38 movements †22.7% of 44 movements †202017.2% of 29 movements †26.5% of 34 movements †8.3% of 36 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements2.6% of 39 movements †7.7% of 78 movementsno events in 42 movements †2.9% of 35 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements7.1% of 42 movements †21.1% of 114 movements16.7% of 126 movements16.2% of 111 movements28.2% of 103 movements22.7% of 22 movements †17.4% of 23 movements †2022suppressed: fewer than twenty movements22.7% of 22 movements †19.5% of 41 movements †32.1% of 109 movements36.2% of 141 movements53.4% of 163 movements48.9% of 174 movements47.7% of 176 movements56.9% of 153 movements43.0% of 135 movements17.1% of 35 movements †27.3% of 33 movements †202315.6% of 32 movements †31.4% of 35 movements †42.3% of 52 movements55.3% of 132 movements40.0% of 165 movements52.0% of 171 movements43.7% of 199 movements44.0% of 209 movements37.2% of 188 movements47.4% of 152 movements31.4% of 35 movements †22.6% of 31 movements †202412.1% of 33 movements †8.8% of 34 movements †8.2% of 49 movements †43.0% of 121 movements49.4% of 160 movements60.1% of 178 movements54.0% of 198 movements46.4% of 207 movements48.6% of 177 movements40.7% of 145 movements33.3% of 45 movements †47.6% of 42 movements †202528.2% of 39 movements †24.4% of 41 movements †13.8% of 65 movements24.4% of 123 movements36.8% of 163 movements42.4% of 172 movements59.8% of 199 movements35.5% of 211 movements52.1% of 192 movements41.1% of 146 movements17.8% of 45 movements †12.5% of 40 movements †202614.3% of 28 movements †21.9% of 32 movements †19.0% of 58 movements19.8% of 131 movements36.4% of 165 movements51.7% of 174 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan19.6%12.1–41.7%6 months, 202 flights
Feb22.7%8.8–34.0%7 months, 245 flights
Mar19.0%8.2–44.7%7 months, 402 flights
Apr33.3%19.8–55.3%7 months, 864 flights
May36.8%35.2–50.0%7 months, 1,117 flights
Jun52.0%35.9–60.1%7 months, 1,243 flights
Jul51.4%28.1–59.8%6 months, 1,172 flights
Aug45.2%30.7–54.2%6 months, 1,234 flights
Sep46.4%37.2–56.9%6 months, 1,099 flights
Oct42.0%26.5–48.7%6 months, 891 flights
Nov17.5%2.6–33.3%6 months, 235 flights
Dec22.7%12.5–47.6%6 months, 234 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: Jet2.Com 37.2% of 473 movements, Ryanair 39.4% of 832 movements, Tui Airways 56.4% of 101 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 optionJet2.Com37.2% of 473 flightsRyanair39.4% of 832 flightsTui Airways56.4% of 101 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 Onesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ba Cityflyersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ba Euroflyer British Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
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 Uksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jet2.Com47337.2% of 473 movementsno events in 473 movements0.6% of 473 movementsdescriptive comparison
Primera Air Scandinaviasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ryanair83239.4% of 832 movements0.1% of 832 movements0.7% of 832 movementsdescriptive comparison
Ryanair Uksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Thomas Cook Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Titan Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Tui Airways10156.4% of 101 movementsno events in 101 movementsno events in 101 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 39.8% of 1,421 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
Ncl ↔ Palma-De-Mallorca84244.1% of 842 movements0.2% of 842 movements0.7% of 842 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

Does the direction you are flying change anything?

Yes: arrivals into STN ran 39.8% of 1,421 movements disrupted, departures 31.7% of 1,414 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 STN39.8% of 1,421 movements0.1% of 1,421 movements0.6% of 1,421 movements
Departures from STN31.7% of 1,414 movements0.1% of 1,414 movements0.4% of 1,414 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 202694 flights out of 9,84294 × £220 = £20,680
ArrivalsLast 72 months · Jul 2020–Jun 202665 flights out of 6,79665 × £220 = £14,300
DeparturesWhole archive · Jan 2018–Jun 202656 flights out of 9,81956 × £220 = £12,320
DeparturesLast 72 months · Jul 2020–Jun 202638 flights out of 6,77338 × £220 = £8,360
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 airportSTANSTED · STN
Final point / countryPALMA DE MALLORCA / SPAIN
Final point codesPMI / LEPA
Great-circle distance1,385 km
Maximum statutory amount for the band£220
Average operated arrivals per day3.89
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 archive99

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: 1,421; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

39.8% of 1,421 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 1,421 movements in the same window.

How many delays crossed three hours?

0.6% of 1,421 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?

1,385 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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