UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

BHX ↔ FUERTEVENTURA

In the twelve months from July 2025 to June 2026, 27.1% of 590 movements arriving into BHX were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 72.9% of 590 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 590 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, 27.1% of 590 movements were disrupted and 0.3% of 590 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
27.1% of 590 movements0.3% of 590 movements24.5–51.8 min; N of delayed flights=158–310590
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 590 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 min26.8%30 min13.9%60 min6.1%120 min0.8%180 min0.2%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min26.8% of 590 movements1583.7
>30 min13.9% of 590 movements827.2
>60 min6.1% of 590 movements3616.4
>120 min0.8% of 590 movements5118.0
>180 min0.2% of 590 movements1590.0
>360 minno events in 590 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 early11519.5%15–1 early16327.6%0–15 late15225.8%16–307612.9%31–60467.8%61…120315.3%121…18040.7%181…36010.2%>36000.0%D=590
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0082; 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: Mar 2025, 5.8% of 52 movements. Worst month: Jul 2025, 42.0% of 50 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: 27.6%; sample: 292018Feb 2018: 14.3%; sample: 28Mar 2018: 28.6%; sample: 35Apr 2018: 0.0%; sample: 34May 2018: 22.9%; sample: 35Jun 2018: 35.3%; sample: 34Jul 2018: 25.7%; sample: 35Aug 2018: 11.1%; sample: 36Sep 2018: 11.8%; sample: 34Oct 2018: 26.8%; sample: 41Nov 2018: 15.8%; sample: 38Dec 2018: 26.5%; sample: 34Jan 2019: 28.1%; sample: 322019Feb 2019: 12.1%; sample: 33Mar 2019: 20.0%; sample: 40Apr 2019: 24.4%; sample: 41May 2019: 13.5%; sample: 37Jun 2019: 28.9%; sample: 38Jul 2019: 17.1%; sample: 41Aug 2019: 12.5%; sample: 40Sep 2019: 21.1%; sample: 38Oct 2019: 8.3%; sample: 36Nov 2019: 11.1%; sample: 36Dec 2019: 25.7%; sample: 35Jan 2020: 6.9%; sample: 292020Feb 2020: 17.6%; sample: 34Mar 2020: 53.1%; 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: suppressed: fewer than twenty movements×Sep 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: no data×Jun 2021: suppressed: fewer than twenty movements×Jul 2021: suppressed: fewer than twenty movements×Aug 2021: 9.1%; sample: 22Sep 2021: 4.0%; sample: 25Oct 2021: 16.7%; sample: 30Nov 2021: 20.5%; sample: 39Dec 2021: 9.8%; sample: 41Jan 2022: 23.1%; sample: 392022Feb 2022: 25.0%; sample: 40Mar 2022: 7.1%; sample: 42Apr 2022: 26.3%; sample: 38May 2022: 37.5%; sample: 32Jun 2022: 51.4%; sample: 35Jul 2022: 31.6%; sample: 38Aug 2022: 19.5%; sample: 41Sep 2022: 42.9%; sample: 35Oct 2022: 38.9%; sample: 36Nov 2022: 16.3%; sample: 43Dec 2022: 19.6%; sample: 46Jan 2023: 12.2%; sample: 412023Feb 2023: 9.8%; sample: 41Mar 2023: 34.0%; sample: 47Apr 2023: 31.4%; sample: 35May 2023: 33.3%; sample: 30Jun 2023: 39.3%; sample: 28Jul 2023: 21.6%; sample: 37Aug 2023: 26.8%; sample: 41Sep 2023: 25.0%; sample: 36Oct 2023: 36.1%; sample: 36Nov 2023: 17.8%; sample: 45Dec 2023: 21.7%; sample: 46Jan 2024: 14.0%; sample: 432024Feb 2024: 23.8%; sample: 42Mar 2024: 31.2%; sample: 48Apr 2024: 22.2%; sample: 36May 2024: 38.9%; sample: 36Jun 2024: 40.0%; sample: 35Jul 2024: 32.4%; sample: 37Aug 2024: 25.6%; sample: 43Sep 2024: 40.0%; sample: 40Oct 2024: 32.6%; sample: 43Nov 2024: 18.4%; sample: 38Dec 2024: 32.6%; sample: 46Jan 2025: 27.3%; sample: 442025Feb 2025: 23.3%; sample: 43Mar 2025: 5.8%; sample: 52Apr 2025: 23.3%; sample: 43May 2025: 26.7%; sample: 45Jun 2025: 37.2%; sample: 43Jul 2025: 42.0%; sample: 50Aug 2025: 31.9%; sample: 47Sep 2025: 44.7%; sample: 47Oct 2025: 31.4%; sample: 51Nov 2025: 16.7%; sample: 54Dec 2025: 16.7%; sample: 54Jan 2026: 20.5%; sample: 442026Feb 2026: 25.5%; sample: 47Mar 2026: 25.0%; sample: 56Apr 2026: 12.5%; sample: 48May 2026: 31.8%; sample: 44Jun 2026: 29.2%; sample: 48Pandemic 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 201827.6% of 29 movements — small sample, not ranked
Feb 201814.3% of 28 movements — small sample, not ranked
Mar 201828.6% of 35 movements — small sample, not ranked
Apr 2018no events in 34 movements — small sample, not ranked
May 201822.9% of 35 movements — small sample, not ranked
Jun 201835.3% of 34 movements — small sample, not ranked
Jul 201825.7% of 35 movements — small sample, not ranked
Aug 201811.1% of 36 movements — small sample, not ranked
Sep 201811.8% of 34 movements — small sample, not ranked
Oct 201826.8% of 41 movements — small sample, not ranked
Nov 201815.8% of 38 movements — small sample, not ranked
Dec 201826.5% of 34 movements — small sample, not ranked
Jan 201928.1% of 32 movements — small sample, not ranked
Feb 201912.1% of 33 movements — small sample, not ranked
Mar 201920.0% of 40 movements — small sample, not ranked
Apr 201924.4% of 41 movements — small sample, not ranked
May 201913.5% of 37 movements — small sample, not ranked
Jun 201928.9% of 38 movements — small sample, not ranked
Jul 201917.1% of 41 movements — small sample, not ranked
Aug 201912.5% of 40 movements — small sample, not ranked
Sep 201921.1% of 38 movements — small sample, not ranked
Oct 20198.3% of 36 movements — small sample, not ranked
Nov 201911.1% of 36 movements — small sample, not ranked
Dec 201925.7% of 35 movements — small sample, not ranked
Jan 20206.9% of 29 movements — small sample, not ranked
Feb 202017.6% of 34 movements — small sample, not ranked
Mar 202053.1% 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 2020suppressed: fewer than twenty movements
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 2021no data
Jun 2021suppressed: fewer than twenty movements
Jul 2021suppressed: fewer than twenty movements
Aug 20219.1% of 22 movements — small sample, not ranked
Sep 20214.0% of 25 movements — small sample, not ranked
Oct 202116.7% of 30 movements — small sample, not ranked
Nov 202120.5% of 39 movements — small sample, not ranked
Dec 20219.8% of 41 movements — small sample, not ranked
Jan 202223.1% of 39 movements — small sample, not ranked
Feb 202225.0% of 40 movements — small sample, not ranked
Mar 20227.1% of 42 movements — small sample, not ranked
Apr 202226.3% of 38 movements — small sample, not ranked
May 202237.5% of 32 movements — small sample, not ranked
Jun 202251.4% of 35 movements — small sample, not ranked
Jul 202231.6% of 38 movements — small sample, not ranked
Aug 202219.5% of 41 movements — small sample, not ranked
Sep 202242.9% of 35 movements — small sample, not ranked
Oct 202238.9% of 36 movements — small sample, not ranked
Nov 202216.3% of 43 movements — small sample, not ranked
Dec 202219.6% of 46 movements — small sample, not ranked
Jan 202312.2% of 41 movements — small sample, not ranked
Feb 20239.8% of 41 movements — small sample, not ranked
Mar 202334.0% of 47 movements — small sample, not ranked
Apr 202331.4% of 35 movements — small sample, not ranked
May 202333.3% of 30 movements — small sample, not ranked
Jun 202339.3% of 28 movements — small sample, not ranked
Jul 202321.6% of 37 movements — small sample, not ranked
Aug 202326.8% of 41 movements — small sample, not ranked
Sep 202325.0% of 36 movements — small sample, not ranked
Oct 202336.1% of 36 movements — small sample, not ranked
Nov 202317.8% of 45 movements — small sample, not ranked
Dec 202321.7% of 46 movements — small sample, not ranked
Jan 202414.0% of 43 movements — small sample, not ranked
Feb 202423.8% of 42 movements — small sample, not ranked
Mar 202431.2% of 48 movements — small sample, not ranked
Apr 202422.2% of 36 movements — small sample, not ranked
May 202438.9% of 36 movements — small sample, not ranked
Jun 202440.0% of 35 movements — small sample, not ranked
Jul 202432.4% of 37 movements — small sample, not ranked
Aug 202425.6% of 43 movements — small sample, not ranked
Sep 202440.0% of 40 movements — small sample, not ranked
Oct 202432.6% of 43 movements — small sample, not ranked
Nov 202418.4% of 38 movements — small sample, not ranked
Dec 202432.6% of 46 movements — small sample, not ranked
Jan 202527.3% of 44 movements — small sample, not ranked
Feb 202523.3% of 43 movements — small sample, not ranked
Mar 20255.8% of 52 movements
Apr 202523.3% of 43 movements — small sample, not ranked
May 202526.7% of 45 movements — small sample, not ranked
Jun 202537.2% of 43 movements — small sample, not ranked
Jul 202542.0% of 50 movements
Aug 202531.9% of 47 movements — small sample, not ranked
Sep 202544.7% of 47 movements — small sample, not ranked
Oct 202531.4% of 51 movements
Nov 202516.7% of 54 movements
Dec 202516.7% of 54 movements
Jan 202620.5% of 44 movements — small sample, not ranked
Feb 202625.5% of 47 movements — small sample, not ranked
Mar 202625.0% of 56 movements
Apr 202612.5% of 48 movements — small sample, not ranked
May 202631.8% of 44 movements — small sample, not ranked
Jun 202629.2% of 48 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 2022Arrivals31.6% of 38 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures56.4% of 39 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals26.8% of 41 movements — small sample, not ranked26.6% across 460 flightsreturned the next month
NATS system failure · Aug 2023Departures32.5% of 40 movements — small sample, not ranked32.5% across 458 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals5.8% of 52 movements30.4% across 489 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures20.8% of 53 movements36.2% across 486 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, 37.2% of arrivals were disrupted, measured across 7 Junes in the archive. November has been the calmest, at 16.5% across 6 Novembers.

Even June has ranged from 28.9% to 51.4% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201928.1% of 32 movements †12.1% of 33 movements †20.0% of 40 movements †24.4% of 41 movements †13.5% of 37 movements †28.9% of 38 movements †17.1% of 41 movements †12.5% of 40 movements †21.1% of 38 movements †8.3% of 36 movements †11.1% of 36 movements †25.7% of 35 movements †20206.9% of 29 movements †17.6% of 34 movements †53.1% of 32 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: 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 datano datasuppressed: fewer than twenty movementssuppressed: fewer than twenty movements9.1% of 22 movements †4.0% of 25 movements †16.7% of 30 movements †20.5% of 39 movements †9.8% of 41 movements †202223.1% of 39 movements †25.0% of 40 movements †7.1% of 42 movements †26.3% of 38 movements †37.5% of 32 movements †51.4% of 35 movements †31.6% of 38 movements †19.5% of 41 movements †42.9% of 35 movements †38.9% of 36 movements †16.3% of 43 movements †19.6% of 46 movements †202312.2% of 41 movements †9.8% of 41 movements †34.0% of 47 movements †31.4% of 35 movements †33.3% of 30 movements †39.3% of 28 movements †21.6% of 37 movements †26.8% of 41 movements †25.0% of 36 movements †36.1% of 36 movements †17.8% of 45 movements †21.7% of 46 movements †202414.0% of 43 movements †23.8% of 42 movements †31.2% of 48 movements †22.2% of 36 movements †38.9% of 36 movements †40.0% of 35 movements †32.4% of 37 movements †25.6% of 43 movements †40.0% of 40 movements †32.6% of 43 movements †18.4% of 38 movements †32.6% of 46 movements †202527.3% of 44 movements †23.3% of 43 movements †5.8% of 52 movements23.3% of 43 movements †26.7% of 45 movements †37.2% of 43 movements †42.0% of 50 movements31.9% of 47 movements †44.7% of 47 movements †31.4% of 51 movements16.7% of 54 movements16.7% of 54 movements202620.5% of 44 movements †25.5% of 47 movements †25.0% of 56 movements12.5% of 48 movements †31.8% of 44 movements †29.2% of 48 movements †no datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan23.1%12.2–28.1%7 months, 272 flights
Feb23.3%9.8–25.5%7 months, 274 flights
Mar25.0%5.8–34.0%7 months, 320 flights
Apr23.3%0.0–31.4%7 months, 275 flights
May31.8%13.5–38.9%7 months, 259 flights
Jun37.2%28.9–51.4%7 months, 261 flights
Jul28.6%17.1–42.0%6 months, 238 flights
Aug22.5%11.1–31.9%6 months, 248 flights
Sep32.5%11.8–44.7%6 months, 230 flights
Oct32.0%8.3–38.9%6 months, 243 flights
Nov16.5%11.1–18.4%6 months, 254 flights
Dec23.7%16.7–32.6%6 months, 261 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 20.0% of 140 movements, Jet2.Com 28.7% of 244 movements, Easyjet Uk 28.8% of 104 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 optionEasyjet Uk28.8% of 104 flightsJet2.Com28.7% of 244 flightsRyanair20.0% of 140 flightsTui Airways31.4% of 102 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Easyjet Uk10428.8% of 104 movementsno events in 104 movementsno events in 104 movementsdescriptive comparison
Jet2.Com24428.7% of 244 movementsno events in 244 movements0.4% of 244 movementsdescriptive comparison
Monarch Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ryanair14020.0% of 140 movements1.4% of 140 movementsno events in 140 movementsdescriptive comparison
Thomas Cook Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Titan Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Tui Airways10231.4% of 102 movementsno events in 102 movementsno events in 102 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, 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 27.1% of 590 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 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 flightsLba ↔ Fuerteventura22.4% of 313 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
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
Stn ↔ Fuerteventura57824.6% of 578 movements0.3% of 578 movements0.2% of 578 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into BHX ran 27.1% of 590 movements disrupted, departures 31.4% of 589 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 BHX27.1% of 590 movements0.3% of 590 movements0.2% of 590 movements
Departures from BHX31.4% of 589 movementsno events in 589 movements0.2% of 589 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 202621 flights out of 3,45821 × £350 = £7,350
ArrivalsLast 72 months · Jul 2020–Jun 202617 flights out of 2,50317 × £350 = £5,950
DeparturesWhole archive · Jan 2018–Jun 202616 flights out of 3,44716 × £350 = £5,600
DeparturesLast 72 months · Jul 2020–Jun 202614 flights out of 2,49514 × £350 = £4,900
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 airportBIRMINGHAM · BHX
Final point / countryFUERTEVENTURA / SPAIN(CANARY ISLANDS)
Final point codesFUE / GCFV
Great-circle distance2,850 km
Maximum statutory amount for the band£350
Average operated arrivals per day1.61
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 archive95

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: 590; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

27.1% of 590 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 590 movements in the same window.

How many delays crossed three hours?

0.2% of 590 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?

2,850 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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