UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

BHX ↔ FARO

In the twelve months from July 2025 to June 2026, 16.4% of 877 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, 83.6% of 877 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 292 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, 16.4% of 877 movements were disrupted and 0.1% of 877 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
16.4% of 877 movements0.1% of 877 movements19.9–54.7 min; N of delayed flights=143–349877
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: 0.1% of 877 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 min16.3%30 min7.8%60 min3.4%120 min0.9%180 min0.3%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min16.3% of 877 movements1436.1
>30 min7.8% of 877 movements6812.9
>60 min3.4% of 877 movements3029.2
>120 min0.9% of 877 movements8109.6
>180 min0.3% of 877 movements3292.3
>360 minno events in 877 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?

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 early19622.3%15–1 early33137.7%0–15 late20623.5%16–30758.6%31–60384.3%61…120222.5%121…18050.6%181…36030.3%>36000.0%D=877
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0265; 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 2021, 2.9% of 70 movements. Worst month: May 2022, 48.8% of 86 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: suppressed: fewer than twenty movements×2018Feb 2018: suppressed: fewer than twenty movements×Mar 2018: 13.9%; sample: 36Apr 2018: 7.7%; sample: 65May 2018: 12.5%; sample: 80Jun 2018: 15.8%; sample: 95Jul 2018: 14.1%; sample: 99Aug 2018: 10.4%; sample: 96Sep 2018: 12.8%; sample: 94Oct 2018: 12.8%; sample: 86Nov 2018: 3.4%; sample: 29Dec 2018: 5.0%; sample: 20Jan 2019: suppressed: fewer than twenty movements×2019Feb 2019: suppressed: fewer than twenty movements×Mar 2019: 5.9%; sample: 34Apr 2019: 11.2%; sample: 80May 2019: 19.0%; sample: 100Jun 2019: 22.0%; sample: 109Jul 2019: 13.0%; sample: 108Aug 2019: 10.5%; sample: 114Sep 2019: 26.0%; sample: 100Oct 2019: 12.1%; sample: 91Nov 2019: 11.8%; sample: 34Dec 2019: 11.1%; sample: 27Jan 2020: 8.3%; sample: 242020Feb 2020: 11.5%; sample: 26Mar 2020: 34.3%; sample: 35Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: suppressed: fewer than twenty movements×Aug 2020: 6.7%; sample: 45Sep 2020: 17.3%; sample: 81Oct 2020: 7.7%; sample: 26Nov 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: 9.1%; sample: 33Jun 2021: 7.5%; sample: 67Jul 2021: 18.4%; sample: 49Aug 2021: 5.9%; sample: 68Sep 2021: 2.9%; sample: 70Oct 2021: 7.1%; sample: 70Nov 2021: 8.3%; sample: 24Dec 2021: suppressed: fewer than twenty movements×Jan 2022: suppressed: fewer than twenty movements×2022Feb 2022: 10.0%; sample: 20Mar 2022: 5.4%; sample: 37Apr 2022: 28.2%; sample: 71May 2022: 48.8%; sample: 86Jun 2022: 48.4%; sample: 91Jul 2022: 28.9%; sample: 97Aug 2022: 20.0%; sample: 100Sep 2022: 31.1%; sample: 90Oct 2022: 28.0%; sample: 93Nov 2022: 10.0%; sample: 30Dec 2022: 9.7%; sample: 31Jan 2023: 0.0%; sample: 272023Feb 2023: 4.2%; sample: 24Mar 2023: 28.6%; sample: 42Apr 2023: 21.9%; sample: 73May 2023: 27.8%; sample: 79Jun 2023: 25.6%; sample: 82Jul 2023: 14.7%; sample: 102Aug 2023: 21.7%; sample: 106Sep 2023: 25.7%; sample: 101Oct 2023: 14.6%; sample: 96Nov 2023: 8.8%; sample: 34Dec 2023: 11.4%; sample: 35Jan 2024: 0.0%; sample: 252024Feb 2024: 7.1%; sample: 28Mar 2024: 17.8%; sample: 45Apr 2024: 11.0%; sample: 73May 2024: 17.7%; sample: 79Jun 2024: 26.2%; sample: 84Jul 2024: 22.1%; sample: 86Aug 2024: 23.5%; sample: 102Sep 2024: 26.4%; sample: 91Oct 2024: 24.7%; sample: 97Nov 2024: 8.1%; sample: 37Dec 2024: 13.3%; sample: 30Jan 2025: 16.7%; sample: 242025Feb 2025: 5.7%; sample: 35Mar 2025: 13.5%; sample: 52Apr 2025: 11.8%; sample: 85May 2025: 20.4%; sample: 98Jun 2025: 27.9%; sample: 104Jul 2025: 28.6%; sample: 105Aug 2025: 14.0%; sample: 107Sep 2025: 13.3%; sample: 98Oct 2025: 17.0%; sample: 100Nov 2025: 23.8%; sample: 42Dec 2025: 7.1%; sample: 28Jan 2026: 4.5%; sample: 222026Feb 2026: 14.7%; sample: 34Mar 2026: 12.3%; sample: 57Apr 2026: 10.7%; sample: 84May 2026: 14.0%; sample: 100Jun 2026: 21.0%; sample: 100Pandemic 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 2018suppressed: fewer than twenty movements
Feb 2018suppressed: fewer than twenty movements
Mar 201813.9% of 36 movements — small sample, not ranked
Apr 20187.7% of 65 movements
May 201812.5% of 80 movements
Jun 201815.8% of 95 movements
Jul 201814.1% of 99 movements
Aug 201810.4% of 96 movements
Sep 201812.8% of 94 movements
Oct 201812.8% of 86 movements
Nov 20183.4% of 29 movements — small sample, not ranked
Dec 20185.0% of 20 movements — small sample, not ranked
Jan 2019suppressed: fewer than twenty movements
Feb 2019suppressed: fewer than twenty movements
Mar 20195.9% of 34 movements — small sample, not ranked
Apr 201911.2% of 80 movements
May 201919.0% of 100 movements
Jun 201922.0% of 109 movements
Jul 201913.0% of 108 movements
Aug 201910.5% of 114 movements
Sep 201926.0% of 100 movements
Oct 201912.1% of 91 movements
Nov 201911.8% of 34 movements — small sample, not ranked
Dec 201911.1% of 27 movements — small sample, not ranked
Jan 20208.3% of 24 movements — small sample, not ranked
Feb 202011.5% of 26 movements — small sample, not ranked
Mar 202034.3% of 35 movements — small sample, not ranked
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 2020suppressed: fewer than twenty movements
Aug 20206.7% of 45 movements — small sample, not ranked
Sep 202017.3% of 81 movements
Oct 20207.7% of 26 movements — small sample, not ranked
Nov 2020suppressed: fewer than twenty movements
Dec 2020suppressed: fewer than twenty movements
Jan 2021suppressed: fewer than twenty movements
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 2021no data
May 20219.1% of 33 movements — small sample, not ranked
Jun 20217.5% of 67 movements
Jul 202118.4% of 49 movements — small sample, not ranked
Aug 20215.9% of 68 movements
Sep 20212.9% of 70 movements
Oct 20217.1% of 70 movements
Nov 20218.3% of 24 movements — small sample, not ranked
Dec 2021suppressed: fewer than twenty movements
Jan 2022suppressed: fewer than twenty movements
Feb 202210.0% of 20 movements — small sample, not ranked
Mar 20225.4% of 37 movements — small sample, not ranked
Apr 202228.2% of 71 movements
May 202248.8% of 86 movements
Jun 202248.4% of 91 movements
Jul 202228.9% of 97 movements
Aug 202220.0% of 100 movements
Sep 202231.1% of 90 movements
Oct 202228.0% of 93 movements
Nov 202210.0% of 30 movements — small sample, not ranked
Dec 20229.7% of 31 movements — small sample, not ranked
Jan 2023no events in 27 movements — small sample, not ranked
Feb 20234.2% of 24 movements — small sample, not ranked
Mar 202328.6% of 42 movements — small sample, not ranked
Apr 202321.9% of 73 movements
May 202327.8% of 79 movements
Jun 202325.6% of 82 movements
Jul 202314.7% of 102 movements
Aug 202321.7% of 106 movements
Sep 202325.7% of 101 movements
Oct 202314.6% of 96 movements
Nov 20238.8% of 34 movements — small sample, not ranked
Dec 202311.4% of 35 movements — small sample, not ranked
Jan 2024no events in 25 movements — small sample, not ranked
Feb 20247.1% of 28 movements — small sample, not ranked
Mar 202417.8% of 45 movements — small sample, not ranked
Apr 202411.0% of 73 movements
May 202417.7% of 79 movements
Jun 202426.2% of 84 movements
Jul 202422.1% of 86 movements
Aug 202423.5% of 102 movements
Sep 202426.4% of 91 movements
Oct 202424.7% of 97 movements
Nov 20248.1% of 37 movements — small sample, not ranked
Dec 202413.3% of 30 movements — small sample, not ranked
Jan 202516.7% of 24 movements — small sample, not ranked
Feb 20255.7% of 35 movements — small sample, not ranked
Mar 202513.5% of 52 movements
Apr 202511.8% of 85 movements
May 202520.4% of 98 movements
Jun 202527.9% of 104 movements
Jul 202528.6% of 105 movements
Aug 202514.0% of 107 movements
Sep 202513.3% of 98 movements
Oct 202517.0% of 100 movements
Nov 202523.8% of 42 movements — small sample, not ranked
Dec 20257.1% of 28 movements — small sample, not ranked
Jan 20264.5% of 22 movements — small sample, not ranked
Feb 202614.7% of 34 movements — small sample, not ranked
Mar 202612.3% of 57 movements
Apr 202610.7% of 84 movements
May 202614.0% of 100 movements
Jun 202621.0% of 100 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 2022Arrivals28.9% of 97 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures52.0% of 98 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals21.7% of 106 movements18.5% across 773 flightsreturned after 2 months
NATS system failure · Aug 2023Departures43.4% of 106 movements37.3% across 769 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals13.5% of 52 movements17.8% across 783 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures15.1% of 53 movements29.5% across 779 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, 25.9% of arrivals were disrupted, measured across 6 Septembers in the archive. January has been the calmest, at 2.3% across 4 Januarys.

Even September has ranged from 12.8% to 31.1% 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 nJanFebMarAprMayJunJulAugSepOctNovDec2019suppressed: fewer than twenty movementssuppressed: fewer than twenty movements5.9% of 34 movements †11.2% of 80 movements19.0% of 100 movements22.0% of 109 movements13.0% of 108 movements10.5% of 114 movements26.0% of 100 movements12.1% of 91 movements11.8% of 34 movements †11.1% of 27 movements †20208.3% of 24 movements †11.5% of 26 movements †34.3% of 35 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements6.7% of 45 movements †17.3% of 81 movements7.7% of 26 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno data9.1% of 33 movements †7.5% of 67 movements18.4% of 49 movements †5.9% of 68 movements2.9% of 70 movements7.1% of 70 movements8.3% of 24 movements †suppressed: fewer than twenty movements2022suppressed: fewer than twenty movements10.0% of 20 movements †5.4% of 37 movements †28.2% of 71 movements48.8% of 86 movements48.4% of 91 movements28.9% of 97 movements20.0% of 100 movements31.1% of 90 movements28.0% of 93 movements10.0% of 30 movements †9.7% of 31 movements †2023no events in 27 movements †4.2% of 24 movements †28.6% of 42 movements †21.9% of 73 movements27.8% of 79 movements25.6% of 82 movements14.7% of 102 movements21.7% of 106 movements25.7% of 101 movements14.6% of 96 movements8.8% of 34 movements †11.4% of 35 movements †2024no events in 25 movements †7.1% of 28 movements †17.8% of 45 movements †11.0% of 73 movements17.7% of 79 movements26.2% of 84 movements22.1% of 86 movements23.5% of 102 movements26.4% of 91 movements24.7% of 97 movements8.1% of 37 movements †13.3% of 30 movements †202516.7% of 24 movements †5.7% of 35 movements †13.5% of 52 movements11.8% of 85 movements20.4% of 98 movements27.9% of 104 movements28.6% of 105 movements14.0% of 107 movements13.3% of 98 movements17.0% of 100 movements23.8% of 42 movements †7.1% of 28 movements †20264.5% of 22 movements †14.7% of 34 movements †12.3% of 57 movements10.7% of 84 movements14.0% of 100 movements21.0% of 100 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan2.3%0.0–16.7%4 months, 98 flights
Feb7.1%4.2–14.7%5 months, 141 flights
Mar13.5%5.4–28.6%7 months, 303 flights
Apr11.2%7.7–28.2%7 months, 531 flights
May19.0%12.5–48.8%7 months, 622 flights
Jun25.6%15.8–48.4%7 months, 665 flights
Jul18.4%13.0–28.9%6 months, 597 flights
Aug17.0%10.4–23.5%6 months, 625 flights
Sep25.9%12.8–31.1%6 months, 574 flights
Oct15.8%12.1–28.0%6 months, 563 flights
Nov9.4%3.4–23.8%6 months, 206 flights
Dec10.4%5.0–13.3%6 months, 171 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: Tui Airways 5.6% of 36 movements — small sample, not ranked, Ryanair 15.1% of 385 movements, Easyjet Uk 15.4% of 143 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 optionEasyjet Uk15.4% of 143 flightsJet2.Com19.9% of 312 flightsRyanair15.1% of 385 flightsTui Airways †5.6% of 36 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Adria Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bmi Regionalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Condorsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Airlinesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Europesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Uk14315.4% of 143 movementsno events in 143 movements1.4% of 143 movementsdescriptive comparison
Flybesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jet2.Com31219.9% of 312 movements0.3% of 312 movementsno events in 312 movementsdescriptive comparison
Monarch Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ryanair38515.1% of 385 movementsno events in 385 movementsno events in 385 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 Airways365.6% of 36 movements — small sample, not rankedno events in 36 movements — small sample, not ranked2.8% of 36 movements — small sample, not rankedsmall sample; not ranked

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, CWL had the lowest disruption share at 4.8% of 84 movements and MAN the highest at 30.2% of 1,368 movements. This route sits at 16.4% of 877 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 ↔ Faro5.5% of 91 flightsBfs ↔ Faro11.9% of 798 flightsBoh ↔ Faro12.6% of 317 flightsBrs ↔ Faro20.0% of 1,192 flightsCwl ↔ Faro4.8% of 84 flightsEdi ↔ Faro19.1% of 476 flightsEma ↔ Faro15.3% of 653 flightsExt ↔ Faro5.1% of 59 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Faro915.5% of 91 movements1.1% of 91 movementsno events in 91 movementsdescriptive comparison
Bfs ↔ Faro79811.9% of 798 movements0.3% of 798 movements0.1% of 798 movementsdescriptive comparison
Bhd ↔ Farosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Boh ↔ Faro31712.6% of 317 movementsno events in 317 movements0.3% of 317 movementsdescriptive comparison
Brs ↔ Faro1,19220.0% of 1,192 movements0.8% of 1,192 movements0.4% of 1,192 movementsdescriptive comparison
Cwl ↔ Faro844.8% of 84 movementsno events in 84 movements1.2% of 84 movementsdescriptive comparison
Doncaster-Sheffield ↔ Farosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Faro47619.1% of 476 movementsno events in 476 movementsno events in 476 movementsdescriptive comparison
Ema ↔ Faro65315.3% of 653 movements0.2% of 653 movementsno events in 653 movementsdescriptive comparison
Ext ↔ Faro595.1% of 59 movementsno events in 59 movementsno events in 59 movementsdescriptive comparison
Gla ↔ Faro48113.5% of 481 movements1.0% of 481 movements0.6% of 481 movementsdescriptive comparison
Iom ↔ Farosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jer ↔ Farosuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Faro64720.9% of 647 movements0.8% of 647 movements0.8% of 647 movementsdescriptive comparison
Lcy ↔ Faro10615.1% of 106 movements0.9% of 106 movementsno events in 106 movementsdescriptive comparison
Lgw ↔ Faro2,65527.3% of 2,655 movements1.0% of 2,655 movements0.6% of 2,655 movementsdescriptive comparison
Lhr ↔ Faro52719.7% of 527 movements0.8% of 527 movementsno events in 527 movementsdescriptive comparison
Lpl ↔ Faro76511.5% of 765 movements0.7% of 765 movements0.1% of 765 movementsdescriptive comparison
Ltn ↔ Faro1,16227.9% of 1,162 movements0.4% of 1,162 movements0.3% of 1,162 movementsdescriptive comparison
Man ↔ Faro1,36830.2% of 1,368 movements0.6% of 1,368 movements0.6% of 1,368 movementsdescriptive comparison
Mme ↔ Faro6116.4% of 61 movementsno events in 61 movementsno events in 61 movementsdescriptive comparison
Ncl ↔ Faro48512.2% of 485 movementsno events in 485 movementsno events in 485 movementsdescriptive comparison
Sen ↔ Faro14319.6% of 143 movementsno events in 143 movementsno events in 143 movementsdescriptive comparison
Sou ↔ Faro5115.7% of 51 movements2.0% of 51 movements2.0% of 51 movementsdescriptive comparison
Stn ↔ Faro1,24421.7% of 1,244 movements0.3% of 1,244 movements0.6% of 1,244 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into BHX ran 16.4% of 877 movements disrupted, departures 28.9% of 875 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 BHX16.4% of 877 movements0.1% of 877 movements0.3% of 877 movements
Departures from BHX28.9% of 875 movements0.3% of 875 movements0.2% of 875 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 202624 flights out of 5,83324 × £350 = £8,400
ArrivalsLast 72 months · Jul 2020–Jun 202617 flights out of 4,19117 × £350 = £5,950
DeparturesWhole archive · Jan 2018–Jun 202634 flights out of 5,82234 × £350 = £11,900
DeparturesLast 72 months · Jul 2020–Jun 202621 flights out of 4,18621 × £350 = £7,350
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 / countryFARO / PORTUGAL(EXCLUDING MADEIRA)
Final point codesFAO / LPFR
Great-circle distance1,784 km
Maximum statutory amount for the band£350
Average operated arrivals per day2.40
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: 877; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

16.4% of 877 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.1% of 877 movements in the same window.

How many delays crossed three hours?

0.3% of 877 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?

1,784 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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