UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

BRS ↔ ALICANTE

In the twelve months from July 2025 to June 2026, 22.4% of 1,558 movements arriving into BRS were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 77.6% of 1,558 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 142 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, 22.4% of 1,558 movements were disrupted and 0.2% of 1,558 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
22.4% of 1,558 movements0.2% of 1,558 movements28.4–61.9 min; N of delayed flights=346–6991,558
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: 0.2% of 1,558 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 min22.2%30 min12.8%60 min5.1%120 min1.9%180 min0.7%360 min0.1%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min22.2% of 1,558 movements3464.5
>30 min12.8% of 1,558 movements2007.8
>60 min5.1% of 1,558 movements7919.7
>120 min1.9% of 1,558 movements2953.7
>180 min0.7% of 1,558 movements11141.6
>360 min0.1% of 1,558 movements2779.0
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?

This route runs late less often than most, but when it does go wrong it tends to go badly wrong: its long delays are heavier 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 early25616.4%15–1 early60038.5%0–15 late35322.7%16–301469.4%31–601217.8%61…120503.2%121…180181.2%181…36090.6%>36020.1%D=1,558
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0412; 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: Sep 2020, 1.6% of 64 movements. Worst month: Apr 2019, 96.9% of 65 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: 21.3%; sample: 472018Feb 2018: 12.0%; sample: 50Mar 2018: 29.9%; sample: 67Apr 2018: 20.8%; sample: 101May 2018: 34.0%; sample: 100Jun 2018: 44.6%; sample: 101Jul 2018: 45.5%; sample: 101Aug 2018: 31.5%; sample: 111Sep 2018: suppressed: fewer than twenty movements×Oct 2018: suppressed: fewer than twenty movements×Nov 2018: suppressed: fewer than twenty movements×Dec 2018: 21.4%; sample: 56Jan 2019: 21.2%; sample: 522019Feb 2019: 19.6%; sample: 51Mar 2019: 20.0%; sample: 65Apr 2019: 96.9%; sample: 65May 2019: 29.5%; sample: 105Jun 2019: 31.2%; sample: 112Jul 2019: 29.4%; sample: 119Aug 2019: 32.0%; sample: 122Sep 2019: 35.9%; sample: 117Oct 2019: 26.5%; sample: 117Nov 2019: 17.3%; sample: 75Dec 2019: 24.2%; sample: 62Jan 2020: 21.6%; sample: 512020Feb 2020: 32.8%; sample: 61Mar 2020: 23.3%; sample: 43Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 2.4%; sample: 42Aug 2020: 4.5%; sample: 66Sep 2020: 1.6%; sample: 64Oct 2020: 1.8%; sample: 55Nov 2020: suppressed: fewer than twenty movements×Dec 2020: 16.0%; sample: 25Jan 2021: suppressed: fewer than twenty movements×2021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: suppressed: fewer than twenty movements×May 2021: suppressed: fewer than twenty movements×Jun 2021: 7.1%; sample: 28Jul 2021: 7.8%; sample: 51Aug 2021: 7.1%; sample: 84Sep 2021: 11.0%; sample: 82Oct 2021: 5.7%; sample: 87Nov 2021: 17.0%; sample: 47Dec 2021: 12.0%; sample: 50Jan 2022: 6.5%; sample: 312022Feb 2022: 18.4%; sample: 49Mar 2022: 10.9%; sample: 64Apr 2022: 28.3%; sample: 106May 2022: 47.5%; sample: 120Jun 2022: 58.7%; sample: 126Jul 2022: 43.3%; sample: 141Aug 2022: 36.8%; sample: 136Sep 2022: 40.8%; sample: 120Oct 2022: 24.6%; sample: 126Nov 2022: 18.3%; sample: 71Dec 2022: 31.7%; sample: 60Jan 2023: 20.4%; sample: 492023Feb 2023: 14.7%; sample: 75Mar 2023: 51.5%; sample: 99Apr 2023: 40.0%; sample: 125May 2023: 36.5%; sample: 137Jun 2023: 48.2%; sample: 137Jul 2023: 48.9%; sample: 141Aug 2023: 47.2%; sample: 142Sep 2023: 42.9%; sample: 140Oct 2023: 40.8%; sample: 130Nov 2023: 27.9%; sample: 104Dec 2023: 33.3%; sample: 96Jan 2024: 22.5%; sample: 712024Feb 2024: 14.4%; sample: 90Mar 2024: 25.2%; sample: 103Apr 2024: 27.8%; sample: 133May 2024: 34.2%; sample: 146Jun 2024: 33.6%; sample: 143Jul 2024: 29.0%; sample: 145Aug 2024: 28.4%; sample: 148Sep 2024: 44.9%; sample: 138Oct 2024: 31.2%; sample: 144Nov 2024: 14.7%; sample: 102Dec 2024: 29.0%; sample: 93Jan 2025: 24.6%; sample: 692025Feb 2025: 20.9%; sample: 91Mar 2025: 20.0%; sample: 125Apr 2025: 18.4%; sample: 136May 2025: 18.9%; sample: 148Jun 2025: 29.4%; sample: 143Jul 2025: 32.0%; sample: 150Aug 2025: 24.5%; sample: 151Sep 2025: 28.4%; sample: 141Oct 2025: 24.0%; sample: 146Nov 2025: 10.3%; sample: 107Dec 2025: 14.8%; sample: 108Jan 2026: 11.1%; sample: 632026Feb 2026: 17.3%; sample: 98Mar 2026: 18.8%; sample: 128Apr 2026: 18.5%; sample: 146May 2026: 26.7%; sample: 161Jun 2026: 27.7%; sample: 159Pandemic 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 201821.3% of 47 movements — small sample, not ranked
Feb 201812.0% of 50 movements
Mar 201829.9% of 67 movements
Apr 201820.8% of 101 movements
May 201834.0% of 100 movements
Jun 201844.6% of 101 movements
Jul 201845.5% of 101 movements
Aug 201831.5% of 111 movements
Sep 2018suppressed: fewer than twenty movements
Oct 2018suppressed: fewer than twenty movements
Nov 2018suppressed: fewer than twenty movements
Dec 201821.4% of 56 movements
Jan 201921.2% of 52 movements
Feb 201919.6% of 51 movements
Mar 201920.0% of 65 movements
Apr 201996.9% of 65 movements
May 201929.5% of 105 movements
Jun 201931.2% of 112 movements
Jul 201929.4% of 119 movements
Aug 201932.0% of 122 movements
Sep 201935.9% of 117 movements
Oct 201926.5% of 117 movements
Nov 201917.3% of 75 movements
Dec 201924.2% of 62 movements
Jan 202021.6% of 51 movements
Feb 202032.8% of 61 movements
Mar 202023.3% of 43 movements — small sample, not ranked
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 20202.4% of 42 movements — small sample, not ranked
Aug 20204.5% of 66 movements
Sep 20201.6% of 64 movements
Oct 20201.8% of 55 movements
Nov 2020suppressed: fewer than twenty movements
Dec 202016.0% of 25 movements — small sample, not ranked
Jan 2021suppressed: fewer than twenty movements
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 2021suppressed: fewer than twenty movements
May 2021suppressed: fewer than twenty movements
Jun 20217.1% of 28 movements — small sample, not ranked
Jul 20217.8% of 51 movements
Aug 20217.1% of 84 movements
Sep 202111.0% of 82 movements
Oct 20215.7% of 87 movements
Nov 202117.0% of 47 movements — small sample, not ranked
Dec 202112.0% of 50 movements
Jan 20226.5% of 31 movements — small sample, not ranked
Feb 202218.4% of 49 movements — small sample, not ranked
Mar 202210.9% of 64 movements
Apr 202228.3% of 106 movements
May 202247.5% of 120 movements
Jun 202258.7% of 126 movements
Jul 202243.3% of 141 movements
Aug 202236.8% of 136 movements
Sep 202240.8% of 120 movements
Oct 202224.6% of 126 movements
Nov 202218.3% of 71 movements
Dec 202231.7% of 60 movements
Jan 202320.4% of 49 movements — small sample, not ranked
Feb 202314.7% of 75 movements
Mar 202351.5% of 99 movements
Apr 202340.0% of 125 movements
May 202336.5% of 137 movements
Jun 202348.2% of 137 movements
Jul 202348.9% of 141 movements
Aug 202347.2% of 142 movements
Sep 202342.9% of 140 movements
Oct 202340.8% of 130 movements
Nov 202327.9% of 104 movements
Dec 202333.3% of 96 movements
Jan 202422.5% of 71 movements
Feb 202414.4% of 90 movements
Mar 202425.2% of 103 movements
Apr 202427.8% of 133 movements
May 202434.2% of 146 movements
Jun 202433.6% of 143 movements
Jul 202429.0% of 145 movements
Aug 202428.4% of 148 movements
Sep 202444.9% of 138 movements
Oct 202431.2% of 144 movements
Nov 202414.7% of 102 movements
Dec 202429.0% of 93 movements
Jan 202524.6% of 69 movements
Feb 202520.9% of 91 movements
Mar 202520.0% of 125 movements
Apr 202518.4% of 136 movements
May 202518.9% of 148 movements
Jun 202529.4% of 143 movements
Jul 202532.0% of 150 movements
Aug 202524.5% of 151 movements
Sep 202528.4% of 141 movements
Oct 202524.0% of 146 movements
Nov 202510.3% of 107 movements
Dec 202514.8% of 108 movements
Jan 202611.1% of 63 movements
Feb 202617.3% of 98 movements
Mar 202618.8% of 128 movements
Apr 202618.5% of 146 movements
May 202626.7% of 161 movements
Jun 202627.7% of 159 movements

What did the big disruptions actually do here?

Each named event below is shown against this route’s own baseline for the twelve months before it, and against how long the route took to get back to that baseline.

A month worse than baseline is not proof the named event caused it: the open data carry no delay-cause field at all. Some events sit near the edge of the archive, which limits how long a recovery can be traced.

EventDirectionDisruption that monthBaseline beforeReturn to baseline
Pandemic regime · Jun 2020Arrivalssuppressed: fewer than twenty movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departuressuppressed: fewer than twenty movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals43.3% of 141 movements19.3% across 897 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures54.3% of 140 movements20.7% across 902 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals47.2% of 142 movements34.4% across 1,276 flightsreturned after 3 months
NATS system failure · Aug 2023Departures48.2% of 141 movements33.3% across 1,277 flightsreturned after 3 months
Heathrow fire closure · Mar 2025Arrivals20.0% of 125 movements28.6% across 1,455 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures11.3% of 124 movements24.0% across 1,461 flightsreturned the next month
Definitions, denominators and limits

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

Which time of year has historically been hardest?

September has historically been the hardest month on this route: in a typical September, 40.8% of arrivals were disrupted, measured across 5 Septembers in the archive. November has been the calmest, at 17.3% across 5 Novembers.

Even September has ranged from 28.4% to 44.9% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201921.2% of 52 movements19.6% of 51 movements20.0% of 65 movements96.9% of 65 movements29.5% of 105 movements31.2% of 112 movements29.4% of 119 movements32.0% of 122 movements35.9% of 117 movements26.5% of 117 movements17.3% of 75 movements24.2% of 62 movements202021.6% of 51 movements32.8% of 61 movements23.3% of 43 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements2.4% of 42 movements †4.5% of 66 movements1.6% of 64 movements1.8% of 55 movementssuppressed: fewer than twenty movements16.0% of 25 movements †2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements7.1% of 28 movements †7.8% of 51 movements7.1% of 84 movements11.0% of 82 movements5.7% of 87 movements17.0% of 47 movements †12.0% of 50 movements20226.5% of 31 movements †18.4% of 49 movements †10.9% of 64 movements28.3% of 106 movements47.5% of 120 movements58.7% of 126 movements43.3% of 141 movements36.8% of 136 movements40.8% of 120 movements24.6% of 126 movements18.3% of 71 movements31.7% of 60 movements202320.4% of 49 movements †14.7% of 75 movements51.5% of 99 movements40.0% of 125 movements36.5% of 137 movements48.2% of 137 movements48.9% of 141 movements47.2% of 142 movements42.9% of 140 movements40.8% of 130 movements27.9% of 104 movements33.3% of 96 movements202422.5% of 71 movements14.4% of 90 movements25.2% of 103 movements27.8% of 133 movements34.2% of 146 movements33.6% of 143 movements29.0% of 145 movements28.4% of 148 movements44.9% of 138 movements31.2% of 144 movements14.7% of 102 movements29.0% of 93 movements202524.6% of 69 movements20.9% of 91 movements20.0% of 125 movements18.4% of 136 movements18.9% of 148 movements29.4% of 143 movements32.0% of 150 movements24.5% of 151 movements28.4% of 141 movements24.0% of 146 movements10.3% of 107 movements14.8% of 108 movements202611.1% of 63 movements17.3% of 98 movements18.8% of 128 movements18.5% of 146 movements26.7% of 161 movements27.7% of 159 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan21.2%6.5–24.6%7 months, 382 flights
Feb17.3%12.0–20.9%7 months, 504 flights
Mar20.0%10.9–51.5%7 months, 651 flights
Apr27.8%18.4–96.9%7 months, 812 flights
May34.0%18.9–47.5%7 months, 917 flights
Jun33.6%27.7–58.7%7 months, 921 flights
Jul37.6%29.0–48.9%6 months, 797 flights
Aug31.7%24.5–47.2%6 months, 810 flights
Sep40.8%28.4–44.9%5 months, 656 flights
Oct26.5%24.0–40.8%5 months, 663 flights
Nov17.3%10.3–27.9%5 months, 459 flights
Dec26.6%14.8–33.3%6 months, 475 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: Easyjet Europe 12.0% of 200 movements, Ryanair 17.7% of 622 movements, Easyjet Uk 28.7% of 560 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 Europe12.0% of 200 flightsEasyjet Uk28.7% of 560 flightsJet2.Com30.7% of 176 flightsRyanair17.7% of 622 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Easyjet Airlinesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Europe20012.0% of 200 movements0.5% of 200 movements0.5% of 200 movementsdescriptive comparison
Easyjet Uk56028.7% of 560 movements0.4% of 560 movements1.1% of 560 movementsdescriptive comparison
Jet2.Com17630.7% of 176 movementsno events in 176 movements1.1% of 176 movementsdescriptive comparison
Ryanair62217.7% of 622 movementsno events in 622 movements0.3% of 622 movementsdescriptive comparison
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, ABZ had the lowest disruption share at 9.8% of 163 movements and MAN the highest at 41.7% of 2,640 movements. This route sits at 22.4% of 1,558 movements.

Each figure is arrivals into that UK airport, all carriers combined, over the same twelve months. It is a historical record, not a recommendation about where to fly from, and it says nothing about getting to or from each airport on the ground.

Observed disruption share by optionAbz ↔ Alicante9.8% of 163 flightsBfs ↔ Alicante22.7% of 917 flightsBhx ↔ Alicante27.9% of 1,350 flightsBoh ↔ Alicante25.7% of 408 flightsCwl ↔ Alicante31.7% of 426 flightsEdi ↔ Alicante32.8% of 751 flightsEma ↔ Alicante25.7% of 1,077 flightsExt ↔ Alicante18.8% of 165 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Alicante1639.8% of 163 movementsno events in 163 movementsno events in 163 movementsdescriptive comparison
Bfs ↔ Alicante91722.7% of 917 movements0.2% of 917 movements0.9% of 917 movementsdescriptive comparison
Bhd ↔ Alicantesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Alicante1,35027.9% of 1,350 movements0.2% of 1,350 movements0.7% of 1,350 movementsdescriptive comparison
Boh ↔ Alicante40825.7% of 408 movements0.2% of 408 movementsno events in 408 movementsdescriptive comparison
Cwl ↔ Alicante42631.7% of 426 movementsno events in 426 movementsno events in 426 movementsdescriptive comparison
Doncaster-Sheffield ↔ Alicantesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Alicante75132.8% of 751 movementsno events in 751 movements0.3% of 751 movementsdescriptive comparison
Ema ↔ Alicante1,07725.7% of 1,077 movements0.1% of 1,077 movements0.7% of 1,077 movementsdescriptive comparison
Ext ↔ Alicante16518.8% of 165 movementsno events in 165 movements1.2% of 165 movementsdescriptive comparison
Gla ↔ Alicante81522.8% of 815 movements0.5% of 815 movements0.5% of 815 movementsdescriptive comparison
Lba ↔ Alicante1,24425.9% of 1,244 movements0.6% of 1,244 movements0.4% of 1,244 movementsdescriptive comparison
Lgw ↔ Alicante2,76030.2% of 2,760 movements0.1% of 2,760 movements0.5% of 2,760 movementsdescriptive comparison
Lhr ↔ Alicantesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ Alicante1,26521.3% of 1,265 movements0.6% of 1,265 movements0.5% of 1,265 movementsdescriptive comparison
Ltn ↔ Alicante1,26332.9% of 1,263 movements0.1% of 1,263 movements0.6% of 1,263 movementsdescriptive comparison
Man ↔ Alicante2,64041.7% of 2,640 movements0.1% of 2,640 movements0.6% of 2,640 movementsdescriptive comparison
Mme ↔ Alicante15724.8% of 157 movementsno events in 157 movementsno events in 157 movementsdescriptive comparison
Ncl ↔ Alicante1,02225.7% of 1,022 movements0.4% of 1,022 movements0.3% of 1,022 movementsdescriptive comparison
Sen ↔ Alicante23831.5% of 238 movements0.8% of 238 movements0.8% of 238 movementsdescriptive comparison
Sou ↔ Alicante10925.7% of 109 movements4.6% of 109 movements2.8% of 109 movementsdescriptive comparison
Stn ↔ Alicante1,52830.4% of 1,528 movements0.1% of 1,528 movements0.7% of 1,528 movementsdescriptive comparison

Does the direction you are flying change anything?

Barely: arrivals into BRS ran 22.4% of 1,558 movements disrupted, departures 21.3% of 1,556 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 BRS22.4% of 1,558 movements0.2% of 1,558 movements0.7% of 1,558 movements
Departures from BRS21.3% of 1,556 movements0.1% of 1,556 movements0.3% of 1,556 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 202674 flights out of 8,92774 × £220 = £16,280
ArrivalsLast 72 months · Jul 2020–Jun 202649 flights out of 6,97249 × £220 = £10,780
DeparturesWhole archive · Jan 2018–Jun 202662 flights out of 8,96362 × £220 = £13,640
DeparturesLast 72 months · Jul 2020–Jun 202643 flights out of 6,97843 × £220 = £9,460
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 airportBRISTOL · BRS
Final point / countryALICANTE / SPAIN
Final point codesALC / LEAL
Great-circle distance1,466 km
Maximum statutory amount for the band£220
Average operated arrivals per day4.26
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 archive96

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: 1,558; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

22.4% of 1,558 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.2% of 1,558 movements in the same window.

How many delays crossed three hours?

0.7% of 1,558 movements in the same window; these are observed movements, not a count of claims.

What does the delay distribution look like?

rare but severe. The class compares the tail with short delays across routes in the corpus.

What distance is used?

1,466 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.

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Reconstruction and formulas

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