UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

STN ↔ FUERTEVENTURA

In the twelve months from July 2025 to June 2026, 24.6% of 578 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, 75.4% of 578 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 578 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, 24.6% of 578 movements were disrupted and 0.3% of 578 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
24.6% of 578 movements0.3% of 578 movements23.1–51.5 min; N of delayed flights=140–287578
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 578 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 min24.2%30 min12.8%60 min4.0%120 min0.5%180 min0.2%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min24.2% of 578 movements1404.1
>30 min12.8% of 578 movements747.8
>60 min4.0% of 578 movements2325.1
>120 min0.5% of 578 movements3192.7
>180 min0.2% of 578 movements1578.0
>360 minno events in 578 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 early9115.7%15–1 early19834.3%0–15 late14725.4%16–306611.4%31–60518.8%61…120203.5%121…18020.3%181…36010.2%>36000.0%D=578
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0085; 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 2025, 9.4% of 53 movements. Worst month: Dec 2022, 35.2% of 54 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: 24.4%; sample: 412018Feb 2018: 31.2%; sample: 32Mar 2018: 36.1%; sample: 36Apr 2018: 15.8%; sample: 38May 2018: 25.0%; sample: 40Jun 2018: 20.5%; sample: 39Jul 2018: 17.9%; sample: 39Aug 2018: 27.3%; sample: 44Sep 2018: 27.3%; sample: 44Oct 2018: 13.3%; sample: 45Nov 2018: 23.5%; sample: 34Dec 2018: 19.0%; sample: 42Jan 2019: 28.2%; sample: 392019Feb 2019: 15.6%; sample: 32Mar 2019: 8.3%; sample: 36Apr 2019: 13.6%; sample: 44May 2019: 9.4%; sample: 32Jun 2019: 6.7%; sample: 30Jul 2019: 3.2%; sample: 31Aug 2019: 6.5%; sample: 31Sep 2019: 10.0%; sample: 30Oct 2019: 0.0%; sample: 36Nov 2019: 29.4%; sample: 34Dec 2019: 23.1%; sample: 39Jan 2020: 25.6%; sample: 392020Feb 2020: 36.6%; sample: 41Mar 2020: 50.0%; sample: 32Apr 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: 21.4%; sample: 28Sep 2020: suppressed: fewer than twenty movements×Oct 2020: suppressed: fewer than twenty movements×Nov 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: suppressed: fewer than twenty movements×Jul 2021: 0.0%; sample: 20Aug 2021: 16.1%; sample: 31Sep 2021: 3.3%; sample: 30Oct 2021: 8.8%; sample: 34Nov 2021: 20.0%; sample: 30Dec 2021: 18.2%; sample: 33Jan 2022: 10.7%; sample: 282022Feb 2022: 11.4%; sample: 35Mar 2022: 10.0%; sample: 40Apr 2022: 16.7%; sample: 42May 2022: 17.5%; sample: 40Jun 2022: 25.6%; sample: 39Jul 2022: 14.0%; sample: 43Aug 2022: 8.2%; sample: 49Sep 2022: 21.7%; sample: 46Oct 2022: 31.1%; sample: 45Nov 2022: 21.3%; sample: 47Dec 2022: 35.2%; sample: 54Jan 2023: 10.6%; sample: 472023Feb 2023: 14.0%; sample: 43Mar 2023: 41.7%; sample: 48Apr 2023: 27.5%; sample: 40May 2023: 33.3%; sample: 39Jun 2023: 18.4%; sample: 38Jul 2023: 31.7%; sample: 41Aug 2023: 34.1%; sample: 44Sep 2023: 23.1%; sample: 39Oct 2023: 25.0%; sample: 40Nov 2023: 28.8%; sample: 52Dec 2023: 40.8%; sample: 49Jan 2024: 17.0%; sample: 532024Feb 2024: 16.3%; sample: 49Mar 2024: 17.0%; sample: 53Apr 2024: 28.6%; sample: 42May 2024: 50.0%; sample: 44Jun 2024: 47.6%; sample: 42Jul 2024: 40.4%; sample: 47Aug 2024: 29.2%; sample: 48Sep 2024: 47.6%; sample: 42Oct 2024: 34.0%; sample: 47Nov 2024: 27.3%; sample: 55Dec 2024: 31.4%; sample: 51Jan 2025: 27.7%; sample: 472025Feb 2025: 17.3%; sample: 52Mar 2025: 21.4%; sample: 56Apr 2025: 23.8%; sample: 42May 2025: 35.6%; sample: 45Jun 2025: 23.3%; sample: 43Jul 2025: 38.8%; sample: 49Aug 2025: 24.5%; sample: 49Sep 2025: 31.2%; sample: 48Oct 2025: 9.4%; sample: 53Nov 2025: 29.8%; sample: 47Dec 2025: 36.7%; sample: 49Jan 2026: 25.0%; sample: 522026Feb 2026: 14.3%; sample: 49Mar 2026: 25.0%; sample: 56Apr 2026: 4.8%; sample: 42May 2026: 18.2%; sample: 44Jun 2026: 37.5%; sample: 40Pandemic 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 201824.4% of 41 movements — small sample, not ranked
Feb 201831.2% of 32 movements — small sample, not ranked
Mar 201836.1% of 36 movements — small sample, not ranked
Apr 201815.8% of 38 movements — small sample, not ranked
May 201825.0% of 40 movements — small sample, not ranked
Jun 201820.5% of 39 movements — small sample, not ranked
Jul 201817.9% of 39 movements — small sample, not ranked
Aug 201827.3% of 44 movements — small sample, not ranked
Sep 201827.3% of 44 movements — small sample, not ranked
Oct 201813.3% of 45 movements — small sample, not ranked
Nov 201823.5% of 34 movements — small sample, not ranked
Dec 201819.0% of 42 movements — small sample, not ranked
Jan 201928.2% of 39 movements — small sample, not ranked
Feb 201915.6% of 32 movements — small sample, not ranked
Mar 20198.3% of 36 movements — small sample, not ranked
Apr 201913.6% of 44 movements — small sample, not ranked
May 20199.4% of 32 movements — small sample, not ranked
Jun 20196.7% of 30 movements — small sample, not ranked
Jul 20193.2% of 31 movements — small sample, not ranked
Aug 20196.5% of 31 movements — small sample, not ranked
Sep 201910.0% of 30 movements — small sample, not ranked
Oct 2019no events in 36 movements — small sample, not ranked
Nov 201929.4% of 34 movements — small sample, not ranked
Dec 201923.1% of 39 movements — small sample, not ranked
Jan 202025.6% of 39 movements — small sample, not ranked
Feb 202036.6% of 41 movements — small sample, not ranked
Mar 202050.0% of 32 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 202021.4% of 28 movements — small sample, not ranked
Sep 2020suppressed: fewer than twenty movements
Oct 2020suppressed: fewer than twenty movements
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 2021suppressed: fewer than twenty movements
Jul 2021no events in 20 movements — small sample, not ranked
Aug 202116.1% of 31 movements — small sample, not ranked
Sep 20213.3% of 30 movements — small sample, not ranked
Oct 20218.8% of 34 movements — small sample, not ranked
Nov 202120.0% of 30 movements — small sample, not ranked
Dec 202118.2% of 33 movements — small sample, not ranked
Jan 202210.7% of 28 movements — small sample, not ranked
Feb 202211.4% of 35 movements — small sample, not ranked
Mar 202210.0% of 40 movements — small sample, not ranked
Apr 202216.7% of 42 movements — small sample, not ranked
May 202217.5% of 40 movements — small sample, not ranked
Jun 202225.6% of 39 movements — small sample, not ranked
Jul 202214.0% of 43 movements — small sample, not ranked
Aug 20228.2% of 49 movements — small sample, not ranked
Sep 202221.7% of 46 movements — small sample, not ranked
Oct 202231.1% of 45 movements — small sample, not ranked
Nov 202221.3% of 47 movements — small sample, not ranked
Dec 202235.2% of 54 movements
Jan 202310.6% of 47 movements — small sample, not ranked
Feb 202314.0% of 43 movements — small sample, not ranked
Mar 202341.7% of 48 movements — small sample, not ranked
Apr 202327.5% of 40 movements — small sample, not ranked
May 202333.3% of 39 movements — small sample, not ranked
Jun 202318.4% of 38 movements — small sample, not ranked
Jul 202331.7% of 41 movements — small sample, not ranked
Aug 202334.1% of 44 movements — small sample, not ranked
Sep 202323.1% of 39 movements — small sample, not ranked
Oct 202325.0% of 40 movements — small sample, not ranked
Nov 202328.8% of 52 movements
Dec 202340.8% of 49 movements — small sample, not ranked
Jan 202417.0% of 53 movements
Feb 202416.3% of 49 movements — small sample, not ranked
Mar 202417.0% of 53 movements
Apr 202428.6% of 42 movements — small sample, not ranked
May 202450.0% of 44 movements — small sample, not ranked
Jun 202447.6% of 42 movements — small sample, not ranked
Jul 202440.4% of 47 movements — small sample, not ranked
Aug 202429.2% of 48 movements — small sample, not ranked
Sep 202447.6% of 42 movements — small sample, not ranked
Oct 202434.0% of 47 movements — small sample, not ranked
Nov 202427.3% of 55 movements
Dec 202431.4% of 51 movements
Jan 202527.7% of 47 movements — small sample, not ranked
Feb 202517.3% of 52 movements
Mar 202521.4% of 56 movements
Apr 202523.8% of 42 movements — small sample, not ranked
May 202535.6% of 45 movements — small sample, not ranked
Jun 202523.3% of 43 movements — small sample, not ranked
Jul 202538.8% of 49 movements — small sample, not ranked
Aug 202524.5% of 49 movements — small sample, not ranked
Sep 202531.2% of 48 movements — small sample, not ranked
Oct 20259.4% of 53 movements
Nov 202529.8% of 47 movements — small sample, not ranked
Dec 202536.7% of 49 movements — small sample, not ranked
Jan 202625.0% of 52 movements
Feb 202614.3% of 49 movements — small sample, not ranked
Mar 202625.0% of 56 movements
Apr 20264.8% of 42 movements — small sample, not ranked
May 202618.2% of 44 movements — small sample, not ranked
Jun 202637.5% of 40 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 2022Arrivals14.0% of 43 movements — small sample, not ranked13.2% across 402 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Departures9.3% of 43 movements — small sample, not ranked5.7% across 402 flightsreturned the next month
NATS system failure · Aug 2023Arrivals34.1% of 44 movements — small sample, not ranked24.6% across 537 flightsreturned the next month
NATS system failure · Aug 2023Departures29.5% of 44 movements — small sample, not ranked16.9% across 538 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals21.4% of 56 movements33.2% across 570 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures7.1% of 56 movements25.6% across 572 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?

December has historically been the hardest month on this route: in a typical December, 33.3% of arrivals were disrupted, measured across 6 Decembers in the archive. February has been the calmest, at 15.6% across 7 Februarys.

Even December has ranged from 19.0% to 40.8% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201928.2% of 39 movements †15.6% of 32 movements †8.3% of 36 movements †13.6% of 44 movements †9.4% of 32 movements †6.7% of 30 movements †3.2% of 31 movements †6.5% of 31 movements †10.0% of 30 movements †no events in 36 movements †29.4% of 34 movements †23.1% of 39 movements †202025.6% of 39 movements †36.6% of 41 movements †50.0% of 32 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements21.4% of 28 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno datasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno events in 20 movements †16.1% of 31 movements †3.3% of 30 movements †8.8% of 34 movements †20.0% of 30 movements †18.2% of 33 movements †202210.7% of 28 movements †11.4% of 35 movements †10.0% of 40 movements †16.7% of 42 movements †17.5% of 40 movements †25.6% of 39 movements †14.0% of 43 movements †8.2% of 49 movements †21.7% of 46 movements †31.1% of 45 movements †21.3% of 47 movements †35.2% of 54 movements202310.6% of 47 movements †14.0% of 43 movements †41.7% of 48 movements †27.5% of 40 movements †33.3% of 39 movements †18.4% of 38 movements †31.7% of 41 movements †34.1% of 44 movements †23.1% of 39 movements †25.0% of 40 movements †28.8% of 52 movements40.8% of 49 movements †202417.0% of 53 movements16.3% of 49 movements †17.0% of 53 movements28.6% of 42 movements †50.0% of 44 movements †47.6% of 42 movements †40.4% of 47 movements †29.2% of 48 movements †47.6% of 42 movements †34.0% of 47 movements †27.3% of 55 movements31.4% of 51 movements202527.7% of 47 movements †17.3% of 52 movements21.4% of 56 movements23.8% of 42 movements †35.6% of 45 movements †23.3% of 43 movements †38.8% of 49 movements †24.5% of 49 movements †31.2% of 48 movements †9.4% of 53 movements29.8% of 47 movements †36.7% of 49 movements †202625.0% of 52 movements14.3% of 49 movements †25.0% of 56 movements4.8% of 42 movements †18.2% of 44 movements †37.5% of 40 movements †no datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan24.4%10.6–28.2%7 months, 307 flights
Feb15.6%11.4–31.2%7 months, 292 flights
Mar21.4%8.3–41.7%7 months, 325 flights
Apr16.7%4.8–28.6%7 months, 290 flights
May25.0%9.4–50.0%7 months, 284 flights
Jun23.3%6.7–47.6%7 months, 271 flights
Jul24.8%3.2–40.4%6 months, 250 flights
Aug25.9%6.5–34.1%6 months, 265 flights
Sep25.2%10.0–47.6%6 months, 249 flights
Oct19.2%0.0–34.0%6 months, 266 flights
Nov28.1%21.3–29.8%6 months, 269 flights
Dec33.3%19.0–40.8%6 months, 284 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 23.0% of 261 movements, Ryanair 26.7% of 300 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.Com23.0% of 261 flightsRyanair26.7% of 300 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Jet2.Com26123.0% of 261 movements0.4% of 261 movementsno events in 261 movementsdescriptive comparison
Ryanair30026.7% of 300 movements0.3% of 300 movements0.3% of 300 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
Tui Airwayssuppressed: 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, BOH had the lowest disruption share at 18.3% of 115 movements and CWL the highest at 61.5% of 26 movements — small sample, not ranked. This route sits at 24.6% of 578 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 ↔ Fuerteventura28.5% of 130 flightsBhx ↔ Fuerteventura27.1% of 590 flightsBoh ↔ Fuerteventura18.3% of 115 flightsBrs ↔ Fuerteventura24.5% of 432 flightsCwl ↔ Fuerteventura †61.5% of 26 flightsEdi ↔ Fuerteventura28.1% of 317 flightsEma ↔ Fuerteventura26.5% of 264 flightsGla ↔ Fuerteventura24.4% of 176 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Fuerteventura13028.5% of 130 movementsno events in 130 movementsno events in 130 movementsdescriptive comparison
Bhx ↔ Fuerteventura59027.1% of 590 movements0.3% of 590 movements0.2% of 590 movementsdescriptive comparison
Boh ↔ Fuerteventura11518.3% of 115 movementsno events in 115 movements0.9% of 115 movementsdescriptive comparison
Brs ↔ Fuerteventura43224.5% of 432 movements0.2% of 432 movements0.2% of 432 movementsdescriptive comparison
Cwl ↔ Fuerteventura2661.5% of 26 movements — small sample, not rankedno events in 26 movements — small sample, not rankedno events in 26 movements — small sample, not rankedsmall sample; not ranked
Doncaster-Sheffield ↔ Fuerteventurasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Fuerteventura31728.1% of 317 movements0.6% of 317 movementsno events in 317 movementsdescriptive comparison
Ema ↔ Fuerteventura26426.5% of 264 movementsno events in 264 movements0.4% of 264 movementsdescriptive comparison
Gla ↔ Fuerteventura17624.4% of 176 movementsno events in 176 movementsno events in 176 movementsdescriptive comparison
Lba ↔ Fuerteventura31322.4% of 313 movements0.3% of 313 movements1.0% of 313 movementsdescriptive comparison
Lgw ↔ Fuerteventura71132.8% of 711 movements0.4% of 711 movements0.7% of 711 movementsdescriptive comparison
Lpl ↔ Fuerteventura24127.0% of 241 movementsno events in 241 movements1.2% of 241 movementsdescriptive comparison
Ltn ↔ Fuerteventura35128.2% of 351 movements0.3% of 351 movements1.1% of 351 movementsdescriptive comparison
Man ↔ Fuerteventura80338.2% of 803 movementsno events in 803 movements0.1% of 803 movementsdescriptive comparison
Ncl ↔ Fuerteventura21519.5% of 215 movementsno events in 215 movementsno events in 215 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into STN ran 24.6% of 578 movements disrupted, departures 18.7% of 578 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 STN24.6% of 578 movements0.3% of 578 movements0.2% of 578 movements
Departures from STN18.7% of 578 movementsno events in 578 movementsno events in 578 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 202613 flights out of 3,77413 × £350 = £4,550
ArrivalsLast 72 months · Jul 2020–Jun 202610 flights out of 2,77310 × £350 = £3,500
DeparturesWhole archive · Jan 2018–Jun 20267 flights out of 3,7637 × £350 = £2,450
DeparturesLast 72 months · Jul 2020–Jun 20265 flights out of 2,7705 × £350 = £1,750
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 / countryFUERTEVENTURA / SPAIN(CANARY ISLANDS)
Final point codesFUE / GCFV
Great-circle distance2,856 km
Maximum statutory amount for the band£350
Average operated arrivals per day1.58
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 archive98

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: 578; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

24.6% of 578 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 578 movements in the same window.

How many delays crossed three hours?

0.2% of 578 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?

2,856 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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