UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

BHX ↔ DUBAI

In the twelve months from July 2025 to June 2026, 26.4% of 644 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, 73.6% of 644 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 215 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, 26.4% of 644 movements were disrupted and 6.2% of 644 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
26.4% of 644 movements6.2% of 644 movements23.0–55.5 min; N of delayed flights=130–287644
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: 6.2% of 644 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 min20.2%30 min10.1%60 min3.1%120 min1.1%180 min0.5%360 min0.2%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min20.2% of 644 movements1305.0
>30 min10.1% of 644 movements659.9
>60 min3.1% of 644 movements2032.2
>120 min1.1% of 644 movements792.0
>180 min0.5% of 644 movements3214.7
>360 min0.2% of 644 movements1644.0
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 early11317.5%15–1 early20431.7%0–15 late15724.4%16–306510.1%31–60457.0%61…120132.0%121…18040.6%181…36020.3%>36010.2%D=644
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0273; 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: Jun 2018, 1.7% of 60 movements. Worst month: Mar 2026, 76.3% of 59 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: 42.2%; sample: 642018Feb 2018: 25.0%; sample: 56Mar 2018: 48.4%; sample: 62Apr 2018: 21.7%; sample: 60May 2018: 4.8%; sample: 62Jun 2018: 1.7%; sample: 60Jul 2018: 6.5%; sample: 62Aug 2018: 11.3%; sample: 62Sep 2018: 28.3%; sample: 60Oct 2018: 13.1%; sample: 61Nov 2018: 11.5%; sample: 61Dec 2018: 19.0%; sample: 63Jan 2019: 47.6%; sample: 632019Feb 2019: 39.3%; sample: 56Mar 2019: 58.1%; sample: 62Apr 2019: 25.9%; sample: 54May 2019: 12.2%; sample: 49Jun 2019: 5.0%; sample: 60Jul 2019: 9.7%; sample: 62Aug 2019: 12.9%; sample: 62Sep 2019: 16.7%; sample: 60Oct 2019: 14.5%; sample: 62Nov 2019: 11.7%; sample: 60Dec 2019: 14.5%; sample: 62Jan 2020: 45.2%; sample: 622020Feb 2020: 43.1%; sample: 58Mar 2020: 23.6%; sample: 55Apr 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: 0.0%; sample: 30Jan 2021: 28.6%; sample: 282021Feb 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: 3.7%; sample: 27Sep 2021: 3.3%; sample: 30Oct 2021: 4.5%; sample: 44Nov 2021: 16.3%; sample: 43Dec 2021: 29.5%; sample: 44Jan 2022: 26.7%; sample: 452022Feb 2022: 45.0%; sample: 40Mar 2022: 21.3%; sample: 47Apr 2022: 13.3%; sample: 60May 2022: 11.3%; sample: 62Jun 2022: 1.7%; sample: 60Jul 2022: 8.1%; sample: 62Aug 2022: 9.7%; sample: 62Sep 2022: 15.0%; sample: 60Oct 2022: 22.6%; sample: 62Nov 2022: 11.7%; sample: 60Dec 2022: 25.8%; sample: 62Jan 2023: 33.3%; sample: 632023Feb 2023: 25.0%; sample: 56Mar 2023: 33.3%; sample: 63Apr 2023: 15.0%; sample: 60May 2023: 8.1%; sample: 62Jun 2023: 4.9%; sample: 61Jul 2023: 17.7%; sample: 62Aug 2023: 17.7%; sample: 62Sep 2023: 23.3%; sample: 60Oct 2023: 27.0%; sample: 63Nov 2023: 43.3%; sample: 60Dec 2023: 50.0%; sample: 62Jan 2024: 51.6%; sample: 622024Feb 2024: 48.3%; sample: 58Mar 2024: 25.8%; sample: 62Apr 2024: 47.5%; sample: 61May 2024: 14.5%; sample: 62Jun 2024: 13.1%; sample: 61Jul 2024: 14.5%; sample: 62Aug 2024: 12.9%; sample: 62Sep 2024: 11.7%; sample: 60Oct 2024: 27.4%; sample: 62Nov 2024: 19.4%; sample: 62Dec 2024: 19.4%; sample: 62Jan 2025: 17.7%; sample: 622025Feb 2025: 26.8%; sample: 56Mar 2025: 8.1%; sample: 62Apr 2025: 11.7%; sample: 60May 2025: 12.9%; sample: 62Jun 2025: 8.3%; sample: 60Jul 2025: 13.8%; sample: 65Aug 2025: 14.5%; sample: 62Sep 2025: 26.7%; sample: 60Oct 2025: 22.2%; sample: 63Nov 2025: 11.7%; sample: 60Dec 2025: 17.7%; sample: 62Jan 2026: 41.9%; sample: 622026Feb 2026: 21.4%; sample: 56Mar 2026: 76.3%; sample: 59Apr 2026: 42.4%; sample: 33May 2026: 18.8%; sample: 32Jun 2026: 3.3%; sample: 30Pandemic 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 201842.2% of 64 movements
Feb 201825.0% of 56 movements
Mar 201848.4% of 62 movements
Apr 201821.7% of 60 movements
May 20184.8% of 62 movements
Jun 20181.7% of 60 movements
Jul 20186.5% of 62 movements
Aug 201811.3% of 62 movements
Sep 201828.3% of 60 movements
Oct 201813.1% of 61 movements
Nov 201811.5% of 61 movements
Dec 201819.0% of 63 movements
Jan 201947.6% of 63 movements
Feb 201939.3% of 56 movements
Mar 201958.1% of 62 movements
Apr 201925.9% of 54 movements
May 201912.2% of 49 movements — small sample, not ranked
Jun 20195.0% of 60 movements
Jul 20199.7% of 62 movements
Aug 201912.9% of 62 movements
Sep 201916.7% of 60 movements
Oct 201914.5% of 62 movements
Nov 201911.7% of 60 movements
Dec 201914.5% of 62 movements
Jan 202045.2% of 62 movements
Feb 202043.1% of 58 movements
Mar 202023.6% of 55 movements
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 2020no events in 30 movements — small sample, not ranked
Jan 202128.6% of 28 movements — small sample, not ranked
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 20213.7% of 27 movements — small sample, not ranked
Sep 20213.3% of 30 movements — small sample, not ranked
Oct 20214.5% of 44 movements — small sample, not ranked
Nov 202116.3% of 43 movements — small sample, not ranked
Dec 202129.5% of 44 movements — small sample, not ranked
Jan 202226.7% of 45 movements — small sample, not ranked
Feb 202245.0% of 40 movements — small sample, not ranked
Mar 202221.3% of 47 movements — small sample, not ranked
Apr 202213.3% of 60 movements
May 202211.3% of 62 movements
Jun 20221.7% of 60 movements
Jul 20228.1% of 62 movements
Aug 20229.7% of 62 movements
Sep 202215.0% of 60 movements
Oct 202222.6% of 62 movements
Nov 202211.7% of 60 movements
Dec 202225.8% of 62 movements
Jan 202333.3% of 63 movements
Feb 202325.0% of 56 movements
Mar 202333.3% of 63 movements
Apr 202315.0% of 60 movements
May 20238.1% of 62 movements
Jun 20234.9% of 61 movements
Jul 202317.7% of 62 movements
Aug 202317.7% of 62 movements
Sep 202323.3% of 60 movements
Oct 202327.0% of 63 movements
Nov 202343.3% of 60 movements
Dec 202350.0% of 62 movements
Jan 202451.6% of 62 movements
Feb 202448.3% of 58 movements
Mar 202425.8% of 62 movements
Apr 202447.5% of 61 movements
May 202414.5% of 62 movements
Jun 202413.1% of 61 movements
Jul 202414.5% of 62 movements
Aug 202412.9% of 62 movements
Sep 202411.7% of 60 movements
Oct 202427.4% of 62 movements
Nov 202419.4% of 62 movements
Dec 202419.4% of 62 movements
Jan 202517.7% of 62 movements
Feb 202526.8% of 56 movements
Mar 20258.1% of 62 movements
Apr 202511.7% of 60 movements
May 202512.9% of 62 movements
Jun 20258.3% of 60 movements
Jul 202513.8% of 65 movements
Aug 202514.5% of 62 movements
Sep 202526.7% of 60 movements
Oct 202522.2% of 63 movements
Nov 202511.7% of 60 movements
Dec 202517.7% of 62 movements
Jan 202641.9% of 62 movements
Feb 202621.4% of 56 movements
Mar 202676.3% of 59 movements
Apr 202642.4% of 33 movements — small sample, not ranked
May 202618.8% of 32 movements — small sample, not ranked
Jun 20263.3% of 30 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 2022Arrivals8.1% of 62 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures46.8% of 62 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals17.7% of 62 movements18.5% across 733 flightsstill above it 8 months later
NATS system failure · Aug 2023Departures33.9% of 62 movements34.2% across 730 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals8.1% of 62 movements20.9% across 734 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures11.3% of 62 movements29.2% across 731 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?

January has historically been the hardest month on this route: in a typical January, 41.9% of arrivals were disrupted, measured across 7 Januarys in the archive. June has been the calmest, at 4.9% across 7 Junes.

Even January has ranged from 17.7% to 51.6% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201947.6% of 63 movements39.3% of 56 movements58.1% of 62 movements25.9% of 54 movements12.2% of 49 movements †5.0% of 60 movements9.7% of 62 movements12.9% of 62 movements16.7% of 60 movements14.5% of 62 movements11.7% of 60 movements14.5% of 62 movements202045.2% of 62 movements43.1% of 58 movements23.6% of 55 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 movementsno events in 30 movements †202128.6% of 28 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno datano datasuppressed: fewer than twenty movementssuppressed: fewer than twenty movements3.7% of 27 movements †3.3% of 30 movements †4.5% of 44 movements †16.3% of 43 movements †29.5% of 44 movements †202226.7% of 45 movements †45.0% of 40 movements †21.3% of 47 movements †13.3% of 60 movements11.3% of 62 movements1.7% of 60 movements8.1% of 62 movements9.7% of 62 movements15.0% of 60 movements22.6% of 62 movements11.7% of 60 movements25.8% of 62 movements202333.3% of 63 movements25.0% of 56 movements33.3% of 63 movements15.0% of 60 movements8.1% of 62 movements4.9% of 61 movements17.7% of 62 movements17.7% of 62 movements23.3% of 60 movements27.0% of 63 movements43.3% of 60 movements50.0% of 62 movements202451.6% of 62 movements48.3% of 58 movements25.8% of 62 movements47.5% of 61 movements14.5% of 62 movements13.1% of 61 movements14.5% of 62 movements12.9% of 62 movements11.7% of 60 movements27.4% of 62 movements19.4% of 62 movements19.4% of 62 movements202517.7% of 62 movements26.8% of 56 movements8.1% of 62 movements11.7% of 60 movements12.9% of 62 movements8.3% of 60 movements13.8% of 65 movements14.5% of 62 movements26.7% of 60 movements22.2% of 63 movements11.7% of 60 movements17.7% of 62 movements202641.9% of 62 movements21.4% of 56 movements76.3% of 59 movements42.4% of 33 movements †18.8% of 32 movements †3.3% of 30 movements †no datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan41.9%17.7–51.6%7 months, 421 flights
Feb26.8%21.4–48.3%7 months, 378 flights
Mar33.3%8.1–76.3%7 months, 417 flights
Apr21.7%11.7–47.5%7 months, 388 flights
May12.2%4.8–18.8%7 months, 391 flights
Jun4.9%1.7–13.1%7 months, 392 flights
Jul11.8%6.5–17.7%6 months, 375 flights
Aug12.9%9.7–17.7%6 months, 372 flights
Sep20.0%11.7–28.3%6 months, 360 flights
Oct22.4%13.1–27.4%6 months, 373 flights
Nov11.7%11.5–43.3%6 months, 363 flights
Dec19.2%14.5–50.0%6 months, 373 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?

Only one carrier published enough flights here to report: Emirates, 26.4% of 644 movements disrupted.

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 optionEmirates26.4% of 644 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Emirates64426.4% of 644 movements6.2% of 644 movements0.5% of 644 movementsdescriptive comparison
Wamos Airsuppressed: 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, EDI had the lowest disruption share at 20.3% of 340 movements and MAN the highest at 35.9% of 1,063 movements. This route sits at 26.4% of 644 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 optionEdi ↔ Dubai20.3% of 340 flightsGla ↔ Dubai30.1% of 365 flightsLgw ↔ Dubai32.4% of 1,100 flightsLhr ↔ Dubai33.1% of 3,122 flightsMan ↔ Dubai35.9% of 1,063 flightsNcl ↔ Dubai21.1% of 341 flightsStn ↔ Dubai24.4% of 630 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Doncaster-Sheffield ↔ Dubaisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Dubai34020.3% of 340 movements2.9% of 340 movements0.3% of 340 movementsdescriptive comparison
Ema ↔ Dubaisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Dubai36530.1% of 365 movements2.2% of 365 movements0.3% of 365 movementsdescriptive comparison
Lgw ↔ Dubai1,10032.4% of 1,100 movements5.7% of 1,100 movements0.4% of 1,100 movementsdescriptive comparison
Lhr ↔ Dubai3,12233.1% of 3,122 movements3.1% of 3,122 movements0.6% of 3,122 movementsdescriptive comparison
Ltn ↔ Dubaisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Dubai1,06335.9% of 1,063 movements3.1% of 1,063 movements0.8% of 1,063 movementsdescriptive comparison
Ncl ↔ Dubai34121.1% of 341 movements2.6% of 341 movements0.3% of 341 movementsdescriptive comparison
Stn ↔ Dubai63024.4% of 630 movements5.6% of 630 movements0.2% of 630 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into BHX ran 26.4% of 644 movements disrupted, departures 35.5% of 653 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 BHX26.4% of 644 movements6.2% of 644 movements0.5% of 644 movements
Departures from BHX35.5% of 653 movements7.8% of 653 movements0.8% of 653 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 202620 flights out of 5,10720 × £520 = £10,400
ArrivalsLast 72 months · Jul 2020–Jun 202611 flights out of 3,48711 × £520 = £5,720
DeparturesWhole archive · Jan 2018–Jun 202632 flights out of 5,10532 × £520 = £16,640
DeparturesLast 72 months · Jul 2020–Jun 202619 flights out of 3,48319 × £520 = £9,880
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 / countryDUBAI / UNITED ARAB EMIRATES
Final point codesDXB / OMDB
Great-circle distance5,604 km
Maximum statutory amount for the band£520
Average operated arrivals per day1.65
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 archive94

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: 644; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

26.4% of 644 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

6.2% of 644 movements in the same window.

How many delays crossed three hours?

0.5% of 644 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?

5,604 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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