UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

STN ↔ PAPHOS

In the twelve months from July 2025 to June 2026, 24.1% of 531 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, 75.9% of 531 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 266 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, 24.1% of 531 movements were disrupted and no events in 531 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
24.1% of 531 movementsno events in 531 movements25.4–53.7 min; N of delayed flights=128–250531
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: no events in 531 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 min24.1%30 min13.0%60 min4.9%120 min1.3%180 min0.4%360 min0.2%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min24.1% of 531 movements1284.1
>30 min13.0% of 531 movements697.7
>60 min4.9% of 531 movements2620.4
>120 min1.3% of 531 movements775.9
>180 min0.4% of 531 movements2265.5
>360 min0.2% of 531 movements1531.0
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 early10820.3%15–1 early17332.6%0–15 late12223.0%16–305911.1%31–60438.1%61…120193.6%121…18050.9%181…36010.2%>36010.2%D=531
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0196; 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: Nov 2019, 3.8% of 53 movements. Worst month: Jun 2022, 65.0% of 60 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: 25.6%; sample: 432018Feb 2018: 5.3%; sample: 38Mar 2018: 6.5%; sample: 46Apr 2018: 6.2%; sample: 48May 2018: 20.7%; sample: 58Jun 2018: 47.5%; sample: 59Jul 2018: 38.1%; sample: 63Aug 2018: 25.0%; sample: 72Sep 2018: 22.9%; sample: 70Oct 2018: 7.7%; sample: 65Nov 2018: 0.0%; sample: 48Dec 2018: 10.9%; sample: 46Jan 2019: 5.3%; sample: 382019Feb 2019: 5.6%; sample: 36Mar 2019: 10.2%; sample: 49Apr 2019: 13.8%; sample: 58May 2019: 15.6%; sample: 64Jun 2019: 31.9%; sample: 69Jul 2019: 35.6%; sample: 73Aug 2019: 20.6%; sample: 68Sep 2019: 15.9%; sample: 69Oct 2019: 10.8%; sample: 65Nov 2019: 3.8%; sample: 53Dec 2019: 9.1%; sample: 44Jan 2020: 7.3%; sample: 412020Feb 2020: 28.6%; sample: 42Mar 2020: 8.6%; sample: 35Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: suppressed: fewer than twenty movements×Aug 2020: 2.9%; sample: 34Sep 2020: 0.0%; sample: 42Oct 2020: 13.0%; sample: 46Nov 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: no data×May 2021: suppressed: fewer than twenty movements×Jun 2021: 3.3%; sample: 30Jul 2021: 19.4%; sample: 31Aug 2021: 29.8%; sample: 47Sep 2021: 26.3%; sample: 57Oct 2021: 25.4%; sample: 59Nov 2021: 14.3%; sample: 42Dec 2021: 23.3%; sample: 43Jan 2022: 13.8%; sample: 292022Feb 2022: 34.3%; sample: 35Mar 2022: 19.0%; sample: 42Apr 2022: 39.3%; sample: 56May 2022: 50.0%; sample: 56Jun 2022: 65.0%; sample: 60Jul 2022: 56.2%; sample: 64Aug 2022: 38.8%; sample: 67Sep 2022: 52.4%; sample: 63Oct 2022: 39.4%; sample: 66Nov 2022: 22.9%; sample: 48Dec 2022: 22.9%; sample: 48Jan 2023: 14.3%; sample: 422023Feb 2023: 7.9%; sample: 38Mar 2023: 22.9%; sample: 48Apr 2023: 28.6%; sample: 49May 2023: 21.7%; sample: 60Jun 2023: 45.8%; sample: 59Jul 2023: 46.7%; sample: 60Aug 2023: 34.9%; sample: 63Sep 2023: 25.4%; sample: 59Oct 2023: 33.3%; sample: 66Nov 2023: 28.8%; sample: 66Dec 2023: 42.1%; sample: 57Jan 2024: 30.9%; sample: 552024Feb 2024: 19.2%; sample: 52Mar 2024: 19.0%; sample: 63Apr 2024: 14.0%; sample: 43May 2024: 19.6%; sample: 51Jun 2024: 49.1%; sample: 53Jul 2024: 43.1%; sample: 58Aug 2024: 33.9%; sample: 62Sep 2024: 28.3%; sample: 60Oct 2024: 5.1%; sample: 59Nov 2024: 21.7%; sample: 46Dec 2024: 35.9%; sample: 39Jan 2025: 17.2%; sample: 292025Feb 2025: 7.1%; sample: 42Mar 2025: 9.4%; sample: 53Apr 2025: 5.1%; sample: 39May 2025: 26.7%; sample: 45Jun 2025: 27.5%; sample: 51Jul 2025: 31.5%; sample: 54Aug 2025: 34.0%; sample: 53Sep 2025: 38.5%; sample: 52Oct 2025: 30.4%; sample: 56Nov 2025: 2.2%; sample: 46Dec 2025: 8.0%; sample: 25Jan 2026: 22.2%; sample: 272026Feb 2026: 2.9%; sample: 34Mar 2026: 7.0%; sample: 43Apr 2026: 31.9%; sample: 47May 2026: 26.9%; sample: 52Jun 2026: 33.3%; sample: 42Pandemic 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 201825.6% of 43 movements — small sample, not ranked
Feb 20185.3% of 38 movements — small sample, not ranked
Mar 20186.5% of 46 movements — small sample, not ranked
Apr 20186.2% of 48 movements — small sample, not ranked
May 201820.7% of 58 movements
Jun 201847.5% of 59 movements
Jul 201838.1% of 63 movements
Aug 201825.0% of 72 movements
Sep 201822.9% of 70 movements
Oct 20187.7% of 65 movements
Nov 2018no events in 48 movements — small sample, not ranked
Dec 201810.9% of 46 movements — small sample, not ranked
Jan 20195.3% of 38 movements — small sample, not ranked
Feb 20195.6% of 36 movements — small sample, not ranked
Mar 201910.2% of 49 movements — small sample, not ranked
Apr 201913.8% of 58 movements
May 201915.6% of 64 movements
Jun 201931.9% of 69 movements
Jul 201935.6% of 73 movements
Aug 201920.6% of 68 movements
Sep 201915.9% of 69 movements
Oct 201910.8% of 65 movements
Nov 20193.8% of 53 movements
Dec 20199.1% of 44 movements — small sample, not ranked
Jan 20207.3% of 41 movements — small sample, not ranked
Feb 202028.6% of 42 movements — small sample, not ranked
Mar 20208.6% of 35 movements — small sample, not ranked
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 2020suppressed: fewer than twenty movements
Aug 20202.9% of 34 movements — small sample, not ranked
Sep 2020no events in 42 movements — small sample, not ranked
Oct 202013.0% of 46 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 2021no data
May 2021suppressed: fewer than twenty movements
Jun 20213.3% of 30 movements — small sample, not ranked
Jul 202119.4% of 31 movements — small sample, not ranked
Aug 202129.8% of 47 movements — small sample, not ranked
Sep 202126.3% of 57 movements
Oct 202125.4% of 59 movements
Nov 202114.3% of 42 movements — small sample, not ranked
Dec 202123.3% of 43 movements — small sample, not ranked
Jan 202213.8% of 29 movements — small sample, not ranked
Feb 202234.3% of 35 movements — small sample, not ranked
Mar 202219.0% of 42 movements — small sample, not ranked
Apr 202239.3% of 56 movements
May 202250.0% of 56 movements
Jun 202265.0% of 60 movements
Jul 202256.2% of 64 movements
Aug 202238.8% of 67 movements
Sep 202252.4% of 63 movements
Oct 202239.4% of 66 movements
Nov 202222.9% of 48 movements — small sample, not ranked
Dec 202222.9% of 48 movements — small sample, not ranked
Jan 202314.3% of 42 movements — small sample, not ranked
Feb 20237.9% of 38 movements — small sample, not ranked
Mar 202322.9% of 48 movements — small sample, not ranked
Apr 202328.6% of 49 movements — small sample, not ranked
May 202321.7% of 60 movements
Jun 202345.8% of 59 movements
Jul 202346.7% of 60 movements
Aug 202334.9% of 63 movements
Sep 202325.4% of 59 movements
Oct 202333.3% of 66 movements
Nov 202328.8% of 66 movements
Dec 202342.1% of 57 movements
Jan 202430.9% of 55 movements
Feb 202419.2% of 52 movements
Mar 202419.0% of 63 movements
Apr 202414.0% of 43 movements — small sample, not ranked
May 202419.6% of 51 movements
Jun 202449.1% of 53 movements
Jul 202443.1% of 58 movements
Aug 202433.9% of 62 movements
Sep 202428.3% of 60 movements
Oct 20245.1% of 59 movements
Nov 202421.7% of 46 movements — small sample, not ranked
Dec 202435.9% of 39 movements — small sample, not ranked
Jan 202517.2% of 29 movements — small sample, not ranked
Feb 20257.1% of 42 movements — small sample, not ranked
Mar 20259.4% of 53 movements
Apr 20255.1% of 39 movements — small sample, not ranked
May 202526.7% of 45 movements — small sample, not ranked
Jun 202527.5% of 51 movements
Jul 202531.5% of 54 movements
Aug 202534.0% of 53 movements
Sep 202538.5% of 52 movements
Oct 202530.4% of 56 movements
Nov 20252.2% of 46 movements — small sample, not ranked
Dec 20258.0% of 25 movements — small sample, not ranked
Jan 202622.2% of 27 movements — small sample, not ranked
Feb 20262.9% of 34 movements — small sample, not ranked
Mar 20267.0% of 43 movements — small sample, not ranked
Apr 202631.9% of 47 movements — small sample, not ranked
May 202626.9% of 52 movements
Jun 202633.3% of 42 movements — small sample, not ranked

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 2022Arrivals56.2% of 64 movements30.0% across 557 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures43.8% of 64 movements18.6% across 561 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals34.9% of 63 movements30.3% across 648 flightsreturned the next month
NATS system failure · Aug 2023Departures45.3% of 64 movements44.2% across 651 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals9.4% of 53 movements24.5% across 605 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures20.0% of 55 movements40.0% across 605 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, 45.8% of arrivals were disrupted, measured across 7 Junes in the archive. February has been the calmest, at 7.1% across 7 Februarys.

Even June has ranged from 27.5% to 65.0% 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 nJanFebMarAprMayJunJulAugSepOctNovDec20195.3% of 38 movements †5.6% of 36 movements †10.2% of 49 movements †13.8% of 58 movements15.6% of 64 movements31.9% of 69 movements35.6% of 73 movements20.6% of 68 movements15.9% of 69 movements10.8% of 65 movements3.8% of 53 movements9.1% of 44 movements †20207.3% of 41 movements †28.6% of 42 movements †8.6% of 35 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements2.9% of 34 movements †no events in 42 movements †13.0% of 46 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno datasuppressed: fewer than twenty movements3.3% of 30 movements †19.4% of 31 movements †29.8% of 47 movements †26.3% of 57 movements25.4% of 59 movements14.3% of 42 movements †23.3% of 43 movements †202213.8% of 29 movements †34.3% of 35 movements †19.0% of 42 movements †39.3% of 56 movements50.0% of 56 movements65.0% of 60 movements56.2% of 64 movements38.8% of 67 movements52.4% of 63 movements39.4% of 66 movements22.9% of 48 movements †22.9% of 48 movements †202314.3% of 42 movements †7.9% of 38 movements †22.9% of 48 movements †28.6% of 49 movements †21.7% of 60 movements45.8% of 59 movements46.7% of 60 movements34.9% of 63 movements25.4% of 59 movements33.3% of 66 movements28.8% of 66 movements42.1% of 57 movements202430.9% of 55 movements19.2% of 52 movements19.0% of 63 movements14.0% of 43 movements †19.6% of 51 movements49.1% of 53 movements43.1% of 58 movements33.9% of 62 movements28.3% of 60 movements5.1% of 59 movements21.7% of 46 movements †35.9% of 39 movements †202517.2% of 29 movements †7.1% of 42 movements †9.4% of 53 movements5.1% of 39 movements †26.7% of 45 movements †27.5% of 51 movements31.5% of 54 movements34.0% of 53 movements38.5% of 52 movements30.4% of 56 movements2.2% of 46 movements †8.0% of 25 movements †202622.2% of 27 movements †2.9% of 34 movements †7.0% of 43 movements †31.9% of 47 movements †26.9% of 52 movements33.3% of 42 movements †no datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan17.2%5.3–30.9%7 months, 263 flights
Feb7.1%2.9–34.3%7 months, 275 flights
Mar10.2%6.5–22.9%7 months, 344 flights
Apr14.0%5.1–39.3%7 months, 340 flights
May21.7%15.6–50.0%7 months, 386 flights
Jun45.8%27.5–65.0%7 months, 393 flights
Jul40.6%31.5–56.2%6 months, 372 flights
Aug33.9%20.6–38.8%6 months, 385 flights
Sep26.9%15.9–52.4%6 months, 373 flights
Oct20.6%5.1–39.4%6 months, 377 flights
Nov12.8%0.0–28.8%6 months, 307 flights
Dec16.9%8.0–42.1%6 months, 259 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 16.5% of 249 movements, Jet2.Com 27.9% of 201 movements, Tui Airways 38.3% of 81 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.Com27.9% of 201 flightsRyanair16.5% of 249 flightsTui Airways38.3% of 81 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Jet2.Com20127.9% of 201 movementsno events in 201 movements1.0% of 201 movementsdescriptive comparison
Ryanair24916.5% of 249 movementsno events in 249 movementsno events in 249 movementsdescriptive comparison
Thomas Cook Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Tui Airways8138.3% of 81 movementsno events in 81 movementsno events in 81 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, EXT had the lowest disruption share at 18.8% of 64 movements and MAN the highest at 49.8% of 813 movements. This route sits at 24.1% of 531 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 ↔ Paphos †25.0% of 32 flightsBhx ↔ Paphos33.4% of 356 flightsBoh ↔ Paphos31.7% of 60 flightsBrs ↔ Paphos39.4% of 307 flightsCwl ↔ Paphos40.3% of 62 flightsEdi ↔ Paphos33.3% of 174 flightsEma ↔ Paphos26.7% of 221 flightsExt ↔ Paphos18.8% of 64 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Paphos3225.0% of 32 movements — small sample, not rankedno events in 32 movements — small sample, not rankedno events in 32 movements — small sample, not rankedsmall sample; not ranked
Bhd ↔ Paphossuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Paphos35633.4% of 356 movements0.3% of 356 movements1.1% of 356 movementsdescriptive comparison
Boh ↔ Paphos6031.7% of 60 movements3.3% of 60 movementsno events in 60 movementsdescriptive comparison
Brs ↔ Paphos30739.4% of 307 movements0.7% of 307 movements0.3% of 307 movementsdescriptive comparison
Cwl ↔ Paphos6240.3% of 62 movementsno events in 62 movements3.2% of 62 movementsdescriptive comparison
Doncaster-Sheffield ↔ Paphossuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Paphos17433.3% of 174 movements0.6% of 174 movementsno events in 174 movementsdescriptive comparison
Ema ↔ Paphos22126.7% of 221 movementsno events in 221 movementsno events in 221 movementsdescriptive comparison
Ext ↔ Paphos6418.8% of 64 movementsno events in 64 movementsno events in 64 movementsdescriptive comparison
Gla ↔ Paphos14843.9% of 148 movementsno events in 148 movements1.4% of 148 movementsdescriptive comparison
Lba ↔ Paphos14733.3% of 147 movementsno events in 147 movementsno events in 147 movementsdescriptive comparison
Lgw ↔ Paphos1,05531.9% of 1,055 movements1.3% of 1,055 movements0.3% of 1,055 movementsdescriptive comparison
Lhr ↔ Paphos9230.4% of 92 movements1.1% of 92 movements1.1% of 92 movementsdescriptive comparison
Lpl ↔ Paphos9927.3% of 99 movementsno events in 99 movementsno events in 99 movementsdescriptive comparison
Ltn ↔ Paphos17639.2% of 176 movementsno events in 176 movements0.6% of 176 movementsdescriptive comparison
Man ↔ Paphos81349.8% of 813 movements0.4% of 813 movements0.6% of 813 movementsdescriptive comparison
Ncl ↔ Paphos25640.6% of 256 movementsno events in 256 movements0.4% of 256 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into STN ran 24.1% of 531 movements disrupted, departures 39.4% of 528 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 STN24.1% of 531 movementsno events in 531 movements0.4% of 531 movements
Departures from STN39.4% of 528 movementsno events in 528 movements0.2% of 528 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 202614 flights out of 4,68114 × £350 = £4,900
ArrivalsLast 72 months · Jul 2020–Jun 202610 flights out of 3,21910 × £350 = £3,500
DeparturesWhole archive · Jan 2018–Jun 202615 flights out of 4,67215 × £350 = £5,250
DeparturesLast 72 months · Jul 2020–Jun 20269 flights out of 3,2219 × £350 = £3,150
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 / countryPAPHOS / CYPRUS
Final point codesPFO / LCPH
Great-circle distance3,191 km
Maximum statutory amount for the band£350
Average operated arrivals per day1.45
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 archive97

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: 531; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

24.1% of 531 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

no events in 531 movements in the same window.

How many delays crossed three hours?

0.4% of 531 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?

3,191 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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