UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

STN ↔ MALAGA

In the twelve months from July 2025 to June 2026, 29.9% of 1,372 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, 70.1% of 1,372 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 343 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, 29.9% of 1,372 movements were disrupted and 0.1% of 1,372 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
29.9% of 1,372 movements0.1% of 1,372 movements26.1–52.5 min; N of delayed flights=409–7711,372
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 1,372 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 min29.8%30 min17.1%60 min6.5%120 min1.2%180 min0.3%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min29.8% of 1,372 movements4093.4
>30 min17.1% of 1,372 movements2345.9
>60 min6.5% of 1,372 movements8915.4
>120 min1.2% of 1,372 movements1685.8
>180 min0.3% of 1,372 movements4343.0
>360 minno events in 1,372 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?

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 early23317.0%15–1 early36726.7%0–15 late36226.4%16–3017512.8%31–6014510.6%61…120735.3%121…180120.9%181…36040.3%>36000.0%D=1,372
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0125; 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: Oct 2020, 1.8% of 56 movements. Worst month: Sep 2024, 56.7% of 120 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: 24.7%; sample: 972018Feb 2018: 21.6%; sample: 88Mar 2018: 33.9%; sample: 112Apr 2018: 32.3%; sample: 164May 2018: 43.9%; sample: 180Jun 2018: 44.0%; sample: 166Jul 2018: 54.5%; sample: 178Aug 2018: 50.0%; sample: 182Sep 2018: 36.9%; sample: 168Oct 2018: 39.2%; sample: 153Nov 2018: 14.1%; sample: 92Dec 2018: 15.1%; sample: 93Jan 2019: 22.2%; sample: 902019Feb 2019: 17.9%; sample: 84Mar 2019: 13.7%; sample: 102Apr 2019: 23.7%; sample: 139May 2019: 26.0%; sample: 150Jun 2019: 34.4%; sample: 151Jul 2019: 32.9%; sample: 149Aug 2019: 25.0%; sample: 152Sep 2019: 22.8%; sample: 149Oct 2019: 20.3%; sample: 148Nov 2019: 22.4%; sample: 85Dec 2019: 24.4%; sample: 90Jan 2020: 12.5%; sample: 802020Feb 2020: 27.4%; sample: 84Mar 2020: 28.4%; sample: 67Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 6.5%; sample: 46Aug 2020: 3.5%; sample: 85Sep 2020: 6.7%; sample: 60Oct 2020: 1.8%; sample: 56Nov 2020: 4.3%; sample: 23Dec 2020: 22.2%; sample: 27Jan 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: 3.3%; sample: 60Jul 2021: 9.6%; sample: 52Aug 2021: 22.1%; sample: 86Sep 2021: 22.9%; sample: 96Oct 2021: 30.9%; sample: 94Nov 2021: 10.9%; sample: 55Dec 2021: 12.2%; sample: 49Jan 2022: 10.5%; sample: 382022Feb 2022: 18.2%; sample: 55Mar 2022: 14.3%; sample: 70Apr 2022: 43.9%; sample: 98May 2022: 38.1%; sample: 105Jun 2022: 40.4%; sample: 104Jul 2022: 38.2%; sample: 110Aug 2022: 35.0%; sample: 103Sep 2022: 53.5%; sample: 99Oct 2022: 39.2%; sample: 102Nov 2022: 20.8%; sample: 72Dec 2022: 31.2%; sample: 77Jan 2023: 16.9%; sample: 712023Feb 2023: 12.1%; sample: 66Mar 2023: 40.5%; sample: 84Apr 2023: 44.7%; sample: 114May 2023: 38.3%; sample: 120Jun 2023: 35.6%; sample: 104Jul 2023: 37.4%; sample: 115Aug 2023: 49.1%; sample: 116Sep 2023: 36.3%; sample: 113Oct 2023: 32.8%; sample: 122Nov 2023: 43.4%; sample: 83Dec 2023: 46.3%; sample: 82Jan 2024: 37.0%; sample: 812024Feb 2024: 35.5%; sample: 76Mar 2024: 37.8%; sample: 90Apr 2024: 45.9%; sample: 111May 2024: 44.4%; sample: 117Jun 2024: 53.0%; sample: 117Jul 2024: 55.3%; sample: 123Aug 2024: 53.7%; sample: 123Sep 2024: 56.7%; sample: 120Oct 2024: 44.4%; sample: 117Nov 2024: 24.4%; sample: 90Dec 2024: 44.3%; sample: 88Jan 2025: 40.0%; sample: 652025Feb 2025: 27.8%; sample: 79Mar 2025: 29.2%; sample: 106Apr 2025: 28.6%; sample: 119May 2025: 31.7%; sample: 120Jun 2025: 30.4%; sample: 125Jul 2025: 46.1%; sample: 128Aug 2025: 34.4%; sample: 131Sep 2025: 47.9%; sample: 117Oct 2025: 26.2%; sample: 126Nov 2025: 17.7%; sample: 96Dec 2025: 12.1%; sample: 99Jan 2026: 14.3%; sample: 912026Feb 2026: 18.5%; sample: 81Mar 2026: 21.0%; sample: 105Apr 2026: 28.1%; sample: 135May 2026: 31.2%; sample: 128Jun 2026: 44.4%; sample: 135Pandemic 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 201824.7% of 97 movements
Feb 201821.6% of 88 movements
Mar 201833.9% of 112 movements
Apr 201832.3% of 164 movements
May 201843.9% of 180 movements
Jun 201844.0% of 166 movements
Jul 201854.5% of 178 movements
Aug 201850.0% of 182 movements
Sep 201836.9% of 168 movements
Oct 201839.2% of 153 movements
Nov 201814.1% of 92 movements
Dec 201815.1% of 93 movements
Jan 201922.2% of 90 movements
Feb 201917.9% of 84 movements
Mar 201913.7% of 102 movements
Apr 201923.7% of 139 movements
May 201926.0% of 150 movements
Jun 201934.4% of 151 movements
Jul 201932.9% of 149 movements
Aug 201925.0% of 152 movements
Sep 201922.8% of 149 movements
Oct 201920.3% of 148 movements
Nov 201922.4% of 85 movements
Dec 201924.4% of 90 movements
Jan 202012.5% of 80 movements
Feb 202027.4% of 84 movements
Mar 202028.4% of 67 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 20206.5% of 46 movements — small sample, not ranked
Aug 20203.5% of 85 movements
Sep 20206.7% of 60 movements
Oct 20201.8% of 56 movements
Nov 20204.3% of 23 movements — small sample, not ranked
Dec 202022.2% of 27 movements — small sample, not ranked
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 20213.3% of 60 movements
Jul 20219.6% of 52 movements
Aug 202122.1% of 86 movements
Sep 202122.9% of 96 movements
Oct 202130.9% of 94 movements
Nov 202110.9% of 55 movements
Dec 202112.2% of 49 movements — small sample, not ranked
Jan 202210.5% of 38 movements — small sample, not ranked
Feb 202218.2% of 55 movements
Mar 202214.3% of 70 movements
Apr 202243.9% of 98 movements
May 202238.1% of 105 movements
Jun 202240.4% of 104 movements
Jul 202238.2% of 110 movements
Aug 202235.0% of 103 movements
Sep 202253.5% of 99 movements
Oct 202239.2% of 102 movements
Nov 202220.8% of 72 movements
Dec 202231.2% of 77 movements
Jan 202316.9% of 71 movements
Feb 202312.1% of 66 movements
Mar 202340.5% of 84 movements
Apr 202344.7% of 114 movements
May 202338.3% of 120 movements
Jun 202335.6% of 104 movements
Jul 202337.4% of 115 movements
Aug 202349.1% of 116 movements
Sep 202336.3% of 113 movements
Oct 202332.8% of 122 movements
Nov 202343.4% of 83 movements
Dec 202346.3% of 82 movements
Jan 202437.0% of 81 movements
Feb 202435.5% of 76 movements
Mar 202437.8% of 90 movements
Apr 202445.9% of 111 movements
May 202444.4% of 117 movements
Jun 202453.0% of 117 movements
Jul 202455.3% of 123 movements
Aug 202453.7% of 123 movements
Sep 202456.7% of 120 movements
Oct 202444.4% of 117 movements
Nov 202424.4% of 90 movements
Dec 202444.3% of 88 movements
Jan 202540.0% of 65 movements
Feb 202527.8% of 79 movements
Mar 202529.2% of 106 movements
Apr 202528.6% of 119 movements
May 202531.7% of 120 movements
Jun 202530.4% of 125 movements
Jul 202546.1% of 128 movements
Aug 202534.4% of 131 movements
Sep 202547.9% of 117 movements
Oct 202526.2% of 126 movements
Nov 202517.7% of 96 movements
Dec 202512.1% of 99 movements
Jan 202614.3% of 91 movements
Feb 202618.5% of 81 movements
Mar 202621.0% of 105 movements
Apr 202628.1% of 135 movements
May 202631.2% of 128 movements
Jun 202644.4% of 135 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 2022Arrivals38.2% of 110 movements22.8% across 902 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures33.9% of 109 movements10.5% across 895 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals49.1% of 116 movements33.8% across 1,127 flightsreturned after 2 months
NATS system failure · Aug 2023Departures36.2% of 116 movements31.7% across 1,125 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals29.2% of 106 movements44.0% across 1,240 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures39.6% of 106 movements45.5% across 1,236 flightsreturned the next month
Definitions, denominators and limits

The baseline is the unweighted mean share over the twelve preceding calendar months. The return window is the following eight months, up to the end of the archive. Return means the first observed value at or below the baseline; it is not the duration of the disruption itself. If the event month is already below the baseline, counting still starts the month after. Gaps and suppressed cells are not treated as zeros or as recovery.

Which time of year has historically been hardest?

September has historically been the hardest month on this route: in a typical September, 42.4% of arrivals were disrupted, measured across 6 Septembers in the archive. February has been the calmest, at 18.5% across 7 Februarys.

Even September has ranged from 22.8% to 56.7% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201922.2% of 90 movements17.9% of 84 movements13.7% of 102 movements23.7% of 139 movements26.0% of 150 movements34.4% of 151 movements32.9% of 149 movements25.0% of 152 movements22.8% of 149 movements20.3% of 148 movements22.4% of 85 movements24.4% of 90 movements202012.5% of 80 movements27.4% of 84 movements28.4% of 67 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements6.5% of 46 movements †3.5% of 85 movements6.7% of 60 movements1.8% of 56 movements4.3% of 23 movements †22.2% of 27 movements †2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements3.3% of 60 movements9.6% of 52 movements22.1% of 86 movements22.9% of 96 movements30.9% of 94 movements10.9% of 55 movements12.2% of 49 movements †202210.5% of 38 movements †18.2% of 55 movements14.3% of 70 movements43.9% of 98 movements38.1% of 105 movements40.4% of 104 movements38.2% of 110 movements35.0% of 103 movements53.5% of 99 movements39.2% of 102 movements20.8% of 72 movements31.2% of 77 movements202316.9% of 71 movements12.1% of 66 movements40.5% of 84 movements44.7% of 114 movements38.3% of 120 movements35.6% of 104 movements37.4% of 115 movements49.1% of 116 movements36.3% of 113 movements32.8% of 122 movements43.4% of 83 movements46.3% of 82 movements202437.0% of 81 movements35.5% of 76 movements37.8% of 90 movements45.9% of 111 movements44.4% of 117 movements53.0% of 117 movements55.3% of 123 movements53.7% of 123 movements56.7% of 120 movements44.4% of 117 movements24.4% of 90 movements44.3% of 88 movements202540.0% of 65 movements27.8% of 79 movements29.2% of 106 movements28.6% of 119 movements31.7% of 120 movements30.4% of 125 movements46.1% of 128 movements34.4% of 131 movements47.9% of 117 movements26.2% of 126 movements17.7% of 96 movements12.1% of 99 movements202614.3% of 91 movements18.5% of 81 movements21.0% of 105 movements28.1% of 135 movements31.2% of 128 movements44.4% of 135 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan22.2%10.5–40.0%7 months, 533 flights
Feb18.5%12.1–35.5%7 months, 529 flights
Mar29.2%13.7–40.5%7 months, 669 flights
Apr32.3%23.7–45.9%7 months, 880 flights
May38.1%26.0–44.4%7 months, 920 flights
Jun40.4%30.4–53.0%7 months, 902 flights
Jul42.1%32.9–55.3%6 months, 803 flights
Aug42.0%25.0–53.7%6 months, 807 flights
Sep42.4%22.8–56.7%6 months, 766 flights
Oct36.0%20.3–44.4%6 months, 768 flights
Nov21.6%14.1–43.4%6 months, 518 flights
Dec27.8%12.1–46.3%6 months, 529 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: Ryanair 28.9% of 1,109 movements, Jet2.Com 34.4% of 262 movements. The gap between them sits inside sampling noise.

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.Com34.4% of 262 flightsRyanair28.9% of 1,109 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Ba Cityflyersuppressed: 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.Com26234.4% of 262 movementsno events in 262 movementsno events in 262 movementsdescriptive comparison
Maleth Aerosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Primera Air Scandinaviasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ryanair1,10928.9% of 1,109 movements0.1% of 1,109 movements0.4% of 1,109 movementsdescriptive comparison
Ryanair Uksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Tui Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Vueling Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Wizz Air Uksuppressed: 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, MME had the lowest disruption share at 4.9% of 103 movements and LCY the highest at 44.4% of 284 movements. This route sits at 29.9% of 1,372 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 ↔ Malaga13.0% of 92 flightsBfs ↔ Malaga26.0% of 811 flightsBhx ↔ Malaga30.5% of 1,151 flightsBoh ↔ Malaga19.5% of 364 flightsBrs ↔ Malaga24.8% of 1,320 flightsCwl ↔ Malaga25.8% of 329 flightsEdi ↔ Malaga38.4% of 591 flightsEma ↔ Malaga24.1% of 806 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Malaga9213.0% of 92 movementsno events in 92 movementsno events in 92 movementsdescriptive comparison
Bfs ↔ Malaga81126.0% of 811 movements0.1% of 811 movements1.6% of 811 movementsdescriptive comparison
Bhd ↔ Malagasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Malaga1,15130.5% of 1,151 movements0.1% of 1,151 movements0.4% of 1,151 movementsdescriptive comparison
Boh ↔ Malaga36419.5% of 364 movements0.3% of 364 movements0.3% of 364 movementsdescriptive comparison
Brs ↔ Malaga1,32024.8% of 1,320 movements0.4% of 1,320 movements0.4% of 1,320 movementsdescriptive comparison
Cwl ↔ Malaga32925.8% of 329 movements0.3% of 329 movements0.6% of 329 movementsdescriptive comparison
Doncaster-Sheffield ↔ Malagasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Malaga59138.4% of 591 movements0.2% of 591 movements0.3% of 591 movementsdescriptive comparison
Ema ↔ Malaga80624.1% of 806 movements0.1% of 806 movements0.7% of 806 movementsdescriptive comparison
Ext ↔ Malaga11734.2% of 117 movements0.9% of 117 movements0.9% of 117 movementsdescriptive comparison
Gla ↔ Malaga77629.4% of 776 movements0.4% of 776 movements0.3% of 776 movementsdescriptive comparison
Iom ↔ Malagasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jer ↔ Malagasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Malaga92128.6% of 921 movements0.7% of 921 movements0.8% of 921 movementsdescriptive comparison
Lcy ↔ Malaga28444.4% of 284 movements2.8% of 284 movements1.4% of 284 movementsdescriptive comparison
Lgw ↔ Malaga3,77928.8% of 3,779 movements0.7% of 3,779 movements1.1% of 3,779 movementsdescriptive comparison
Lhr ↔ Malaga77222.8% of 772 movements0.5% of 772 movements0.8% of 772 movementsdescriptive comparison
Lpl ↔ Malaga1,03321.3% of 1,033 movements0.2% of 1,033 movements0.1% of 1,033 movementsdescriptive comparison
Ltn ↔ Malaga1,16037.7% of 1,160 movements0.3% of 1,160 movements0.7% of 1,160 movementsdescriptive comparison
Man ↔ Malaga1,76436.5% of 1,764 movements0.7% of 1,764 movements0.5% of 1,764 movementsdescriptive comparison
Mme ↔ Malaga1034.9% of 103 movements1.0% of 103 movementsno events in 103 movementsdescriptive comparison
Ncl ↔ Malaga71825.2% of 718 movementsno events in 718 movements0.1% of 718 movementsdescriptive comparison
Sen ↔ Malaga27622.1% of 276 movementsno events in 276 movementsno events in 276 movementsdescriptive comparison
Sou ↔ Malagasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

Does the direction you are flying change anything?

Barely: arrivals into STN ran 29.9% of 1,372 movements disrupted, departures 32.1% of 1,366 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 STN29.9% of 1,372 movements0.1% of 1,372 movements0.3% of 1,372 movements
Departures from STN32.1% of 1,366 movements0.1% of 1,366 movements0.4% of 1,366 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 202668 flights out of 9,68268 × £350 = £23,800
ArrivalsLast 72 months · Jul 2020–Jun 202641 flights out of 6,28641 × £350 = £14,350
DeparturesWhole archive · Jan 2018–Jun 202650 flights out of 9,65350 × £350 = £17,500
DeparturesLast 72 months · Jul 2020–Jun 202631 flights out of 6,26031 × £350 = £10,850
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 / countryMALAGA / SPAIN
Final point codesAGP / LEMG
Great-circle distance1,732 km
Maximum statutory amount for the band£350
Average operated arrivals per day3.76
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: 1,372; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

29.9% of 1,372 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 1,372 movements in the same window.

How many delays crossed three hours?

0.3% of 1,372 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?

1,732 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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