UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

BHX ↔ ALICANTE

In the twelve months from July 2025 to June 2026, 27.9% of 1,350 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, 72.1% of 1,350 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 150 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, 27.9% of 1,350 movements were disrupted and 0.2% of 1,350 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
27.9% of 1,350 movements0.2% of 1,350 movements31.1–62.1 min; N of delayed flights=373–7021,350
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 1,350 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 min27.6%30 min17.4%60 min7.9%120 min2.4%180 min0.7%360 min0.1%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min27.6% of 1,350 movements3733.6
>30 min17.4% of 1,350 movements2355.7
>60 min7.9% of 1,350 movements10712.6
>120 min2.4% of 1,350 movements3242.2
>180 min0.7% of 1,350 movements9150.0
>360 min0.1% of 1,350 movements2675.0
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 early15311.3%15–1 early49236.4%0–15 late32924.4%16–3013810.2%31–601289.5%61…120755.6%121…180231.7%181…36070.5%>36020.1%D=1,350
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0338; 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: Feb 2019, 1.8% of 55 movements. Worst month: Jun 2022, 49.5% of 101 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: 7.7%; sample: 522018Feb 2018: 4.0%; sample: 50Mar 2018: 19.4%; sample: 67Apr 2018: 9.9%; sample: 81May 2018: 22.2%; sample: 99Jun 2018: 20.2%; sample: 99Jul 2018: 19.8%; sample: 101Aug 2018: 11.8%; sample: 110Sep 2018: 18.0%; sample: 111Oct 2018: 14.4%; sample: 104Nov 2018: 4.1%; sample: 73Dec 2018: 13.3%; sample: 60Jan 2019: 3.5%; sample: 572019Feb 2019: 1.8%; sample: 55Mar 2019: 7.1%; sample: 70Apr 2019: 15.2%; sample: 92May 2019: 23.9%; sample: 113Jun 2019: 26.9%; sample: 119Jul 2019: 14.1%; sample: 128Aug 2019: 13.8%; sample: 130Sep 2019: 24.2%; sample: 120Oct 2019: 12.1%; sample: 116Nov 2019: 2.6%; sample: 77Dec 2019: 14.7%; sample: 75Jan 2020: 19.7%; sample: 612020Feb 2020: 20.7%; sample: 58Mar 2020: 25.5%; sample: 55Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 5.9%; sample: 34Aug 2020: 0.0%; sample: 46Sep 2020: 0.0%; sample: 25Oct 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: suppressed: fewer than twenty movements×May 2021: suppressed: fewer than twenty movements×Jun 2021: 4.8%; sample: 21Jul 2021: 14.0%; sample: 43Aug 2021: 15.9%; sample: 69Sep 2021: 5.2%; sample: 77Oct 2021: 7.5%; sample: 80Nov 2021: 8.5%; sample: 59Dec 2021: 11.3%; sample: 53Jan 2022: 11.6%; sample: 432022Feb 2022: 19.6%; sample: 51Mar 2022: 11.4%; sample: 70Apr 2022: 34.1%; sample: 91May 2022: 44.8%; sample: 96Jun 2022: 49.5%; sample: 101Jul 2022: 33.6%; sample: 107Aug 2022: 29.2%; sample: 106Sep 2022: 38.6%; sample: 101Oct 2022: 26.2%; sample: 103Nov 2022: 13.3%; sample: 75Dec 2022: 14.8%; sample: 61Jan 2023: 15.8%; sample: 572023Feb 2023: 7.1%; sample: 56Mar 2023: 32.9%; sample: 76Apr 2023: 31.4%; sample: 86May 2023: 22.5%; sample: 89Jun 2023: 28.4%; sample: 88Jul 2023: 29.9%; sample: 97Aug 2023: 29.7%; sample: 101Sep 2023: 36.8%; sample: 95Oct 2023: 25.3%; sample: 91Nov 2023: 30.7%; sample: 75Dec 2023: 22.5%; sample: 71Jan 2024: 14.7%; sample: 682024Feb 2024: 16.4%; sample: 67Mar 2024: 20.9%; sample: 86Apr 2024: 31.2%; sample: 96May 2024: 28.0%; sample: 100Jun 2024: 35.3%; sample: 102Jul 2024: 30.6%; sample: 121Aug 2024: 26.4%; sample: 125Sep 2024: 48.3%; sample: 118Oct 2024: 42.9%; sample: 105Nov 2024: 22.8%; sample: 92Dec 2024: 22.6%; sample: 84Jan 2025: 21.9%; sample: 732025Feb 2025: 11.4%; sample: 79Mar 2025: 18.8%; sample: 112Apr 2025: 21.0%; sample: 105May 2025: 32.2%; sample: 118Jun 2025: 45.4%; sample: 119Jul 2025: 41.7%; sample: 127Aug 2025: 26.9%; sample: 130Sep 2025: 34.1%; sample: 126Oct 2025: 31.8%; sample: 129Nov 2025: 13.4%; sample: 97Dec 2025: 21.0%; sample: 81Jan 2026: 22.4%; sample: 672026Feb 2026: 12.8%; sample: 78Mar 2026: 26.5%; sample: 117Apr 2026: 22.6%; sample: 124May 2026: 30.1%; sample: 133Jun 2026: 35.5%; sample: 141Pandemic 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 20187.7% of 52 movements
Feb 20184.0% of 50 movements
Mar 201819.4% of 67 movements
Apr 20189.9% of 81 movements
May 201822.2% of 99 movements
Jun 201820.2% of 99 movements
Jul 201819.8% of 101 movements
Aug 201811.8% of 110 movements
Sep 201818.0% of 111 movements
Oct 201814.4% of 104 movements
Nov 20184.1% of 73 movements
Dec 201813.3% of 60 movements
Jan 20193.5% of 57 movements
Feb 20191.8% of 55 movements
Mar 20197.1% of 70 movements
Apr 201915.2% of 92 movements
May 201923.9% of 113 movements
Jun 201926.9% of 119 movements
Jul 201914.1% of 128 movements
Aug 201913.8% of 130 movements
Sep 201924.2% of 120 movements
Oct 201912.1% of 116 movements
Nov 20192.6% of 77 movements
Dec 201914.7% of 75 movements
Jan 202019.7% of 61 movements
Feb 202020.7% of 58 movements
Mar 202025.5% of 55 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 20205.9% of 34 movements — small sample, not ranked
Aug 2020no events in 46 movements — small sample, not ranked
Sep 2020no events in 25 movements — small sample, not ranked
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 2021suppressed: fewer than twenty movements
May 2021suppressed: fewer than twenty movements
Jun 20214.8% of 21 movements — small sample, not ranked
Jul 202114.0% of 43 movements — small sample, not ranked
Aug 202115.9% of 69 movements
Sep 20215.2% of 77 movements
Oct 20217.5% of 80 movements
Nov 20218.5% of 59 movements
Dec 202111.3% of 53 movements
Jan 202211.6% of 43 movements — small sample, not ranked
Feb 202219.6% of 51 movements
Mar 202211.4% of 70 movements
Apr 202234.1% of 91 movements
May 202244.8% of 96 movements
Jun 202249.5% of 101 movements
Jul 202233.6% of 107 movements
Aug 202229.2% of 106 movements
Sep 202238.6% of 101 movements
Oct 202226.2% of 103 movements
Nov 202213.3% of 75 movements
Dec 202214.8% of 61 movements
Jan 202315.8% of 57 movements
Feb 20237.1% of 56 movements
Mar 202332.9% of 76 movements
Apr 202331.4% of 86 movements
May 202322.5% of 89 movements
Jun 202328.4% of 88 movements
Jul 202329.9% of 97 movements
Aug 202329.7% of 101 movements
Sep 202336.8% of 95 movements
Oct 202325.3% of 91 movements
Nov 202330.7% of 75 movements
Dec 202322.5% of 71 movements
Jan 202414.7% of 68 movements
Feb 202416.4% of 67 movements
Mar 202420.9% of 86 movements
Apr 202431.2% of 96 movements
May 202428.0% of 100 movements
Jun 202435.3% of 102 movements
Jul 202430.6% of 121 movements
Aug 202426.4% of 125 movements
Sep 202448.3% of 118 movements
Oct 202442.9% of 105 movements
Nov 202422.8% of 92 movements
Dec 202422.6% of 84 movements
Jan 202521.9% of 73 movements
Feb 202511.4% of 79 movements
Mar 202518.8% of 112 movements
Apr 202521.0% of 105 movements
May 202532.2% of 118 movements
Jun 202545.4% of 119 movements
Jul 202541.7% of 127 movements
Aug 202526.9% of 130 movements
Sep 202534.1% of 126 movements
Oct 202531.8% of 129 movements
Nov 202513.4% of 97 movements
Dec 202521.0% of 81 movements
Jan 202622.4% of 67 movements
Feb 202612.8% of 78 movements
Mar 202626.5% of 117 movements
Apr 202622.6% of 124 movements
May 202630.1% of 133 movements
Jun 202635.5% of 141 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 2022Arrivals33.6% of 107 movements19.5% across 833 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures53.8% of 106 movements28.8% across 835 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals29.7% of 101 movements24.2% across 995 flightsreturned after 4 months
NATS system failure · Aug 2023Departures41.6% of 101 movements31.1% across 991 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals18.8% of 112 movements28.5% across 1,181 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures16.7% of 114 movements29.8% across 1,175 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, 35.5% of arrivals were disrupted, measured across 6 Septembers in the archive. February has been the calmest, at 11.4% across 7 Februarys.

Even September has ranged from 18.0% to 48.3% 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 nJanFebMarAprMayJunJulAugSepOctNovDec20193.5% of 57 movements1.8% of 55 movements7.1% of 70 movements15.2% of 92 movements23.9% of 113 movements26.9% of 119 movements14.1% of 128 movements13.8% of 130 movements24.2% of 120 movements12.1% of 116 movements2.6% of 77 movements14.7% of 75 movements202019.7% of 61 movements20.7% of 58 movements25.5% of 55 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements5.9% of 34 movements †no events in 46 movements †no events in 25 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements4.8% of 21 movements †14.0% of 43 movements †15.9% of 69 movements5.2% of 77 movements7.5% of 80 movements8.5% of 59 movements11.3% of 53 movements202211.6% of 43 movements †19.6% of 51 movements11.4% of 70 movements34.1% of 91 movements44.8% of 96 movements49.5% of 101 movements33.6% of 107 movements29.2% of 106 movements38.6% of 101 movements26.2% of 103 movements13.3% of 75 movements14.8% of 61 movements202315.8% of 57 movements7.1% of 56 movements32.9% of 76 movements31.4% of 86 movements22.5% of 89 movements28.4% of 88 movements29.9% of 97 movements29.7% of 101 movements36.8% of 95 movements25.3% of 91 movements30.7% of 75 movements22.5% of 71 movements202414.7% of 68 movements16.4% of 67 movements20.9% of 86 movements31.2% of 96 movements28.0% of 100 movements35.3% of 102 movements30.6% of 121 movements26.4% of 125 movements48.3% of 118 movements42.9% of 105 movements22.8% of 92 movements22.6% of 84 movements202521.9% of 73 movements11.4% of 79 movements18.8% of 112 movements21.0% of 105 movements32.2% of 118 movements45.4% of 119 movements41.7% of 127 movements26.9% of 130 movements34.1% of 126 movements31.8% of 129 movements13.4% of 97 movements21.0% of 81 movements202622.4% of 67 movements12.8% of 78 movements26.5% of 117 movements22.6% of 124 movements30.1% of 133 movements35.5% of 141 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan14.7%3.5–22.4%7 months, 417 flights
Feb11.4%1.8–19.6%7 months, 436 flights
Mar19.4%7.1–32.9%7 months, 598 flights
Apr22.6%9.9–34.1%7 months, 675 flights
May28.0%22.2–44.8%7 months, 748 flights
Jun35.3%20.2–49.5%7 months, 769 flights
Jul30.2%14.1–41.7%6 months, 681 flights
Aug26.7%11.8–29.7%6 months, 702 flights
Sep35.5%18.0–48.3%6 months, 671 flights
Oct25.7%12.1–42.9%6 months, 648 flights
Nov13.4%2.6–30.7%6 months, 489 flights
Dec17.9%13.3–22.6%6 months, 432 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 Uk 20.9% of 187 movements, Ryanair 26.4% of 674 movements, Jet2.Com 32.2% of 394 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 Uk20.9% of 187 flightsJet2.Com32.2% of 394 flightsRyanair26.4% of 674 flightsTui Airways39.7% of 78 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Easyjet Europesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Uk18720.9% of 187 movementsno events in 187 movements1.1% of 187 movementsdescriptive comparison
Flybesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jet2.Com39432.2% of 394 movements0.3% of 394 movements0.8% of 394 movementsdescriptive comparison
Monarch Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ryanair67426.4% of 674 movements0.3% of 674 movements0.4% of 674 movementsdescriptive comparison
Small Planet Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Smartwingssuppressed: 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 Airways7839.7% of 78 movementsno events in 78 movements1.3% of 78 movementsdescriptive comparison
Vueling Airlinessuppressed: 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 27.9% of 1,350 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 flightsBoh ↔ Alicante25.7% of 408 flightsBrs ↔ Alicante22.4% of 1,558 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
Boh ↔ Alicante40825.7% of 408 movements0.2% of 408 movementsno events in 408 movementsdescriptive comparison
Brs ↔ Alicante1,55822.4% of 1,558 movements0.2% of 1,558 movements0.7% of 1,558 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 BHX ran 27.9% of 1,350 movements disrupted, departures 29.6% of 1,347 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 BHX27.9% of 1,350 movements0.2% of 1,350 movements0.7% of 1,350 movements
Departures from BHX29.6% of 1,347 movementsno events in 1,347 movements0.7% of 1,347 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 202655 flights out of 8,00155 × £350 = £19,250
ArrivalsLast 72 months · Jul 2020–Jun 202634 flights out of 5,66234 × £350 = £11,900
DeparturesWhole archive · Jan 2018–Jun 202650 flights out of 7,98550 × £350 = £17,500
DeparturesLast 72 months · Jul 2020–Jun 202633 flights out of 5,65033 × £350 = £11,550
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 / countryALICANTE / SPAIN
Final point codesALC / LEAL
Great-circle distance1,579 km
Maximum statutory amount for the band£350
Average operated arrivals per day3.69
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: 1,350; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

27.9% of 1,350 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 1,350 movements in the same window.

How many delays crossed three hours?

0.7% of 1,350 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?

1,579 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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