UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

STN ↔ OPORTO PORTUGAL

In the twelve months from July 2025 to June 2026, 28.8% of 1,092 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, 71.2% of 1,092 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 273 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, 28.8% of 1,092 movements were disrupted and 0.3% of 1,092 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
28.8% of 1,092 movements0.3% of 1,092 movements32.3–61.0 min; N of delayed flights=311–5531,092
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: 0.3% of 1,092 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 min28.5%30 min18.3%60 min8.4%120 min2.3%180 min0.4%360 min0.1%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min28.5% of 1,092 movements3113.5
>30 min18.3% of 1,092 movements2005.5
>60 min8.4% of 1,092 movements9211.9
>120 min2.3% of 1,092 movements2543.7
>180 min0.4% of 1,092 movements4273.0
>360 min0.1% of 1,092 movements11,092.0
Definitions, denominators and limits

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

Slightly late, or occasionally a disaster?

When this route runs late, it is usually only a little late: big blow-ups are rarer here than on the typical UK route.

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

Nine delay buckets, minutes; share of all recorded operations>15 early16615.2%15–1 early37033.9%0–15 late24222.2%16–3011110.2%31–601089.9%61…120676.1%121…180211.9%181…36030.3%>36010.1%D=1,092
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0183; 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, 1.6% of 62 movements. Worst month: Sep 2024, 71.3% of 87 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: 20.3%; sample: 742018Feb 2018: 10.9%; sample: 64Mar 2018: 33.8%; sample: 74Apr 2018: 36.4%; sample: 77May 2018: 39.7%; sample: 78Jun 2018: 39.7%; sample: 78Jul 2018: 41.8%; sample: 79Aug 2018: 41.8%; sample: 79Sep 2018: 28.2%; sample: 78Oct 2018: 33.3%; sample: 78Nov 2018: 21.8%; sample: 78Dec 2018: 31.6%; sample: 79Jan 2019: 18.5%; sample: 812019Feb 2019: 18.1%; sample: 72Mar 2019: 15.0%; sample: 80Apr 2019: 28.9%; sample: 83May 2019: 27.1%; sample: 85Jun 2019: 18.3%; sample: 82Jul 2019: 35.7%; sample: 84Aug 2019: 27.4%; sample: 84Sep 2019: 25.6%; sample: 82Oct 2019: 15.9%; sample: 82Nov 2019: 20.0%; sample: 80Dec 2019: 35.6%; sample: 90Jan 2020: 16.5%; sample: 852020Feb 2020: 19.3%; sample: 83Mar 2020: 27.5%; sample: 69Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: 13.3%; sample: 30Jul 2020: 3.2%; sample: 31Aug 2020: 1.6%; sample: 62Sep 2020: 2.3%; sample: 43Oct 2020: 3.4%; sample: 29Nov 2020: suppressed: fewer than twenty movements×Dec 2020: 36.4%; sample: 22Jan 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: 8.1%; sample: 37Jun 2021: 3.3%; sample: 60Jul 2021: 9.3%; sample: 54Aug 2021: 16.0%; sample: 75Sep 2021: 9.6%; sample: 73Oct 2021: 16.0%; sample: 75Nov 2021: 6.1%; sample: 82Dec 2021: 25.3%; sample: 87Jan 2022: 5.3%; sample: 572022Feb 2022: 13.9%; sample: 72Mar 2022: 3.2%; sample: 93Apr 2022: 27.8%; sample: 90May 2022: 18.5%; sample: 92Jun 2022: 37.8%; sample: 90Jul 2022: 29.0%; sample: 93Aug 2022: 26.9%; sample: 93Sep 2022: 33.3%; sample: 90Oct 2022: 39.4%; sample: 94Nov 2022: 27.3%; sample: 88Dec 2022: 35.2%; sample: 88Jan 2023: 18.7%; sample: 912023Feb 2023: 13.8%; sample: 80Mar 2023: 26.1%; sample: 88Apr 2023: 33.7%; sample: 86May 2023: 24.7%; sample: 89Jun 2023: 21.3%; sample: 89Jul 2023: 32.3%; sample: 93Aug 2023: 34.4%; sample: 93Sep 2023: 22.4%; sample: 85Oct 2023: 23.6%; sample: 89Nov 2023: 16.9%; sample: 83Dec 2023: 25.6%; sample: 82Jan 2024: 10.5%; sample: 862024Feb 2024: 19.3%; sample: 88Mar 2024: 17.2%; sample: 87Apr 2024: 49.3%; sample: 73May 2024: 52.0%; sample: 75Jun 2024: 57.7%; sample: 78Jul 2024: 68.4%; sample: 79Aug 2024: 69.6%; sample: 92Sep 2024: 71.3%; sample: 87Oct 2024: 62.4%; sample: 93Nov 2024: 28.8%; sample: 104Dec 2024: 40.0%; sample: 105Jan 2025: 44.0%; sample: 752025Feb 2025: 30.2%; sample: 96Mar 2025: 29.2%; sample: 106Apr 2025: 19.8%; sample: 86May 2025: 28.7%; sample: 87Jun 2025: 34.9%; sample: 86Jul 2025: 40.9%; sample: 88Aug 2025: 42.2%; sample: 90Sep 2025: 36.9%; sample: 84Oct 2025: 35.1%; sample: 94Nov 2025: 29.9%; sample: 87Dec 2025: 14.6%; sample: 89Jan 2026: 21.1%; sample: 902026Feb 2026: 21.2%; sample: 80Mar 2026: 15.1%; sample: 93Apr 2026: 22.7%; sample: 97May 2026: 25.5%; sample: 102Jun 2026: 39.8%; sample: 98Pandemic 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 201820.3% of 74 movements
Feb 201810.9% of 64 movements
Mar 201833.8% of 74 movements
Apr 201836.4% of 77 movements
May 201839.7% of 78 movements
Jun 201839.7% of 78 movements
Jul 201841.8% of 79 movements
Aug 201841.8% of 79 movements
Sep 201828.2% of 78 movements
Oct 201833.3% of 78 movements
Nov 201821.8% of 78 movements
Dec 201831.6% of 79 movements
Jan 201918.5% of 81 movements
Feb 201918.1% of 72 movements
Mar 201915.0% of 80 movements
Apr 201928.9% of 83 movements
May 201927.1% of 85 movements
Jun 201918.3% of 82 movements
Jul 201935.7% of 84 movements
Aug 201927.4% of 84 movements
Sep 201925.6% of 82 movements
Oct 201915.9% of 82 movements
Nov 201920.0% of 80 movements
Dec 201935.6% of 90 movements
Jan 202016.5% of 85 movements
Feb 202019.3% of 83 movements
Mar 202027.5% of 69 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 202013.3% of 30 movements — small sample, not ranked
Jul 20203.2% of 31 movements — small sample, not ranked
Aug 20201.6% of 62 movements
Sep 20202.3% of 43 movements — small sample, not ranked
Oct 20203.4% of 29 movements — small sample, not ranked
Nov 2020suppressed: fewer than twenty movements
Dec 202036.4% of 22 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 20218.1% of 37 movements — small sample, not ranked
Jun 20213.3% of 60 movements
Jul 20219.3% of 54 movements
Aug 202116.0% of 75 movements
Sep 20219.6% of 73 movements
Oct 202116.0% of 75 movements
Nov 20216.1% of 82 movements
Dec 202125.3% of 87 movements
Jan 20225.3% of 57 movements
Feb 202213.9% of 72 movements
Mar 20223.2% of 93 movements
Apr 202227.8% of 90 movements
May 202218.5% of 92 movements
Jun 202237.8% of 90 movements
Jul 202229.0% of 93 movements
Aug 202226.9% of 93 movements
Sep 202233.3% of 90 movements
Oct 202239.4% of 94 movements
Nov 202227.3% of 88 movements
Dec 202235.2% of 88 movements
Jan 202318.7% of 91 movements
Feb 202313.8% of 80 movements
Mar 202326.1% of 88 movements
Apr 202333.7% of 86 movements
May 202324.7% of 89 movements
Jun 202321.3% of 89 movements
Jul 202332.3% of 93 movements
Aug 202334.4% of 93 movements
Sep 202322.4% of 85 movements
Oct 202323.6% of 89 movements
Nov 202316.9% of 83 movements
Dec 202325.6% of 82 movements
Jan 202410.5% of 86 movements
Feb 202419.3% of 88 movements
Mar 202417.2% of 87 movements
Apr 202449.3% of 73 movements
May 202452.0% of 75 movements
Jun 202457.7% of 78 movements
Jul 202468.4% of 79 movements
Aug 202469.6% of 92 movements
Sep 202471.3% of 87 movements
Oct 202462.4% of 93 movements
Nov 202428.8% of 104 movements
Dec 202440.0% of 105 movements
Jan 202544.0% of 75 movements
Feb 202530.2% of 96 movements
Mar 202529.2% of 106 movements
Apr 202519.8% of 86 movements
May 202528.7% of 87 movements
Jun 202534.9% of 86 movements
Jul 202540.9% of 88 movements
Aug 202542.2% of 90 movements
Sep 202536.9% of 84 movements
Oct 202535.1% of 94 movements
Nov 202529.9% of 87 movements
Dec 202514.6% of 89 movements
Jan 202621.1% of 90 movements
Feb 202621.2% of 80 movements
Mar 202615.1% of 93 movements
Apr 202622.7% of 97 movements
May 202625.5% of 102 movements
Jun 202639.8% of 98 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 2020Arrivals13.3% of 30 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departures10.0% of 30 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals29.0% of 93 movements15.7% across 940 flightsreturned after 7 months
Summer 2022 breakdown · Jul 2022Departures40.9% of 93 movements20.6% across 940 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals34.4% of 93 movements27.7% across 1,069 flightsreturned the next month
NATS system failure · Aug 2023Departures44.1% of 93 movements39.2% across 1,070 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals29.2% of 106 movements49.2% across 1,044 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures30.2% of 106 movements47.5% across 1,047 flightsreturned the next month
Definitions, denominators and limits

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

Which time of year has historically been hardest?

July has historically been the hardest month on this route: in a typical July, 38.3% of arrivals were disrupted, measured across 6 Julys in the archive. March has been the calmest, at 17.2% across 7 Marchs.

Even July has ranged from 29.0% to 68.4% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201918.5% of 81 movements18.1% of 72 movements15.0% of 80 movements28.9% of 83 movements27.1% of 85 movements18.3% of 82 movements35.7% of 84 movements27.4% of 84 movements25.6% of 82 movements15.9% of 82 movements20.0% of 80 movements35.6% of 90 movements202016.5% of 85 movements19.3% of 83 movements27.5% of 69 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements13.3% of 30 movements †3.2% of 31 movements †1.6% of 62 movements2.3% of 43 movements †3.4% of 29 movements †suppressed: fewer than twenty movements36.4% of 22 movements †2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements8.1% of 37 movements †3.3% of 60 movements9.3% of 54 movements16.0% of 75 movements9.6% of 73 movements16.0% of 75 movements6.1% of 82 movements25.3% of 87 movements20225.3% of 57 movements13.9% of 72 movements3.2% of 93 movements27.8% of 90 movements18.5% of 92 movements37.8% of 90 movements29.0% of 93 movements26.9% of 93 movements33.3% of 90 movements39.4% of 94 movements27.3% of 88 movements35.2% of 88 movements202318.7% of 91 movements13.8% of 80 movements26.1% of 88 movements33.7% of 86 movements24.7% of 89 movements21.3% of 89 movements32.3% of 93 movements34.4% of 93 movements22.4% of 85 movements23.6% of 89 movements16.9% of 83 movements25.6% of 82 movements202410.5% of 86 movements19.3% of 88 movements17.2% of 87 movements49.3% of 73 movements52.0% of 75 movements57.7% of 78 movements68.4% of 79 movements69.6% of 92 movements71.3% of 87 movements62.4% of 93 movements28.8% of 104 movements40.0% of 105 movements202544.0% of 75 movements30.2% of 96 movements29.2% of 106 movements19.8% of 86 movements28.7% of 87 movements34.9% of 86 movements40.9% of 88 movements42.2% of 90 movements36.9% of 84 movements35.1% of 94 movements29.9% of 87 movements14.6% of 89 movements202621.1% of 90 movements21.2% of 80 movements15.1% of 93 movements22.7% of 97 movements25.5% of 102 movements39.8% of 98 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan18.7%5.3–44.0%7 months, 554 flights
Feb18.1%10.9–30.2%7 months, 552 flights
Mar17.2%3.2–33.8%7 months, 621 flights
Apr28.9%19.8–49.3%7 months, 592 flights
May27.1%18.5–52.0%7 months, 608 flights
Jun37.8%18.3–57.7%7 months, 601 flights
Jul38.3%29.0–68.4%6 months, 516 flights
Aug38.1%26.9–69.6%6 months, 531 flights
Sep30.8%22.4–71.3%6 months, 506 flights
Oct34.2%15.9–62.4%6 months, 530 flights
Nov24.5%16.9–29.9%6 months, 520 flights
Dec33.4%14.6–40.0%6 months, 533 flights
Definitions, denominators and limits

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

Which airline has the better record here?

Only one carrier published enough flights here to report: Ryanair, 28.4% of 1,075 movements disrupted.

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

Observed disruption share by optionRyanair28.4% of 1,075 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Easyjet Uksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jet2.Comsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Maleth Aerosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ryanair1,07528.4% of 1,075 movements0.3% of 1,075 movements0.4% of 1,075 movementsdescriptive comparison
Ryanair 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, LBA had the lowest disruption share at 20.3% of 59 movements and MAN the highest at 37.4% of 514 movements. This route sits at 28.8% of 1,092 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 optionBfs ↔ Oporto-Portugal24.6% of 61 flightsBhx ↔ Oporto-Portugal30.3% of 244 flightsBrs ↔ Oporto-Portugal28.5% of 376 flightsEdi ↔ Oporto-Portugal28.8% of 208 flightsGla ↔ Oporto-Portugal30.3% of 66 flightsLba ↔ Oporto-Portugal20.3% of 59 flightsLgw ↔ Oporto-Portugal26.6% of 1,572 flightsLpl ↔ Oporto-Portugal22.1% of 68 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Oporto-Portugalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Oporto-Portugal6124.6% of 61 movementsno events in 61 movementsno events in 61 movementsdescriptive comparison
Bhx ↔ Oporto-Portugal24430.3% of 244 movementsno events in 244 movements0.4% of 244 movementsdescriptive comparison
Brs ↔ Oporto-Portugal37628.5% of 376 movements1.1% of 376 movements0.5% of 376 movementsdescriptive comparison
Edi ↔ Oporto-Portugal20828.8% of 208 movementsno events in 208 movementsno events in 208 movementsdescriptive comparison
Ema ↔ Oporto-Portugalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Oporto-Portugal6630.3% of 66 movementsno events in 66 movements1.5% of 66 movementsdescriptive comparison
Jer ↔ Oporto-Portugalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Oporto-Portugal5920.3% of 59 movements1.7% of 59 movements1.7% of 59 movementsdescriptive comparison
Lcy ↔ Oporto-Portugalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Oporto-Portugal1,57226.6% of 1,572 movements1.0% of 1,572 movements0.3% of 1,572 movementsdescriptive comparison
Lhr ↔ Oporto-Portugalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ Oporto-Portugal6822.1% of 68 movementsno events in 68 movements1.5% of 68 movementsdescriptive comparison
Ltn ↔ Oporto-Portugal19428.9% of 194 movementsno events in 194 movementsno events in 194 movementsdescriptive comparison
Man ↔ Oporto-Portugal51437.4% of 514 movements0.2% of 514 movements0.6% of 514 movementsdescriptive comparison
Ncl ↔ Oporto-Portugalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sen ↔ Oporto-Portugalsuppressed: 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 28.8% of 1,092 movements disrupted, departures 27.6% of 1,089 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 STN28.8% of 1,092 movements0.3% of 1,092 movements0.4% of 1,092 movements
Departures from STN27.6% of 1,089 movements0.1% of 1,089 movements0.3% of 1,089 movements
Definitions, denominators and limits

CAA conditions on delays and cancellations.

How many flights here crossed the three-hour mark?

The table below counts arrivals and departures that ran more than three hours late — the threshold that is one of the conditions for compensation — across the whole archive and within the last six years.

The pound figure beside each count is arithmetic, not money anyone received: it is the count multiplied by the maximum statutory amount for this distance band. Whether any of those flights actually qualified is not knowable from this data.

DirectionWindowFlights over three hoursArithmetic statutory ceiling
ArrivalsWhole archive · Jan 2018–Jun 202684 flights out of 7,70484 × £220 = £18,480
ArrivalsLast 72 months · Jul 2020–Jun 202636 flights out of 5,52636 × £220 = £7,920
DeparturesWhole archive · Jan 2018–Jun 202640 flights out of 7,71040 × £220 = £8,800
DeparturesLast 72 months · Jul 2020–Jun 202622 flights out of 5,52922 × £220 = £4,840
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 / countryOPORTO (PORTUGAL) / PORTUGAL(EXCLUDING MADEIRA)
Final point codesOPO / LPPR
Great-circle distance1,363 km
Maximum statutory amount for the band£220
Average operated arrivals per day2.98
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: 1,092; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

28.8% of 1,092 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.3% of 1,092 movements in the same window.

How many delays crossed three hours?

0.4% of 1,092 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?

1,363 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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