UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LGW ↔ DUBAI

In the twelve months from July 2025 to June 2026, 32.4% of 1,100 movements arriving into LGW were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 67.6% of 1,100 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 275 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, 32.4% of 1,100 movements were disrupted and 5.7% of 1,100 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
32.4% of 1,100 movements5.7% of 1,100 movements23.8–49.7 min; N of delayed flights=293–5681,100
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: 5.7% of 1,100 movements. “One in N” means how many arrivals you would typically see between events at that level.

Delay threshold ladder; count and share of known operations15 min26.6%30 min11.9%60 min2.7%120 min0.6%180 min0.4%360 min0.1%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min26.6% of 1,100 movements2933.8
>30 min11.9% of 1,100 movements1318.4
>60 min2.7% of 1,100 movements3036.7
>120 min0.6% of 1,100 movements7157.1
>180 min0.4% of 1,100 movements4275.0
>360 min0.1% of 1,100 movements11,100.0
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?

When this route runs late, it is usually only a little late: big blow-ups are rarer here than on the typical UK route.

The histogram below counts every recorded arrival, from more than fifteen minutes early through to more than six hours late. A tall bar near the middle and a thin right-hand tail is the healthy shape.

Nine delay buckets, minutes; share of all recorded operations>15 early17415.8%15–1 early29526.8%0–15 late27525.0%16–3016214.7%31–601019.2%61…120232.1%121…18030.3%181…36030.3%>36010.1%D=1,100
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0152; 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: Nov 2018, 3.3% of 90 movements. Worst month: Mar 2026, 83.2% of 107 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: 32.3%; sample: 962018Feb 2018: 17.9%; sample: 84Mar 2018: 28.0%; sample: 93Apr 2018: 17.8%; sample: 90May 2018: 9.7%; sample: 93Jun 2018: 4.4%; sample: 90Jul 2018: 10.8%; sample: 93Aug 2018: 21.5%; sample: 93Sep 2018: 23.3%; sample: 90Oct 2018: 10.8%; sample: 93Nov 2018: 3.3%; sample: 90Dec 2018: 23.1%; sample: 91Jan 2019: 26.6%; sample: 942019Feb 2019: 18.1%; sample: 83Mar 2019: 38.7%; sample: 93Apr 2019: 26.0%; sample: 77May 2019: 9.5%; sample: 63Jun 2019: 8.9%; sample: 90Jul 2019: 10.4%; sample: 96Aug 2019: 18.6%; sample: 102Sep 2019: 25.3%; sample: 91Oct 2019: 18.3%; sample: 93Nov 2019: 4.4%; sample: 90Dec 2019: 14.0%; sample: 93Jan 2020: 34.0%; sample: 942020Feb 2020: 26.7%; sample: 86Mar 2020: 9.7%; sample: 72Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: suppressed: fewer than twenty movements×Aug 2020: suppressed: fewer than twenty movements×Sep 2020: suppressed: fewer than twenty movements×Oct 2020: suppressed: fewer than twenty movements×Nov 2020: suppressed: fewer than twenty movements×Dec 2020: suppressed: fewer than twenty movements×Jan 2021: suppressed: fewer than twenty movements×2021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: no data×May 2021: no data×Jun 2021: no data×Jul 2021: no data×Aug 2021: no data×Sep 2021: no data×Oct 2021: no data×Nov 2021: no data×Dec 2021: 4.5%; sample: 22Jan 2022: 12.9%; sample: 312022Feb 2022: 20.4%; sample: 49Mar 2022: 16.1%; sample: 62Apr 2022: 32.8%; sample: 61May 2022: 9.7%; sample: 62Jun 2022: 5.0%; sample: 60Jul 2022: 16.4%; sample: 67Aug 2022: 26.2%; sample: 65Sep 2022: 51.7%; sample: 60Oct 2022: 32.5%; sample: 77Nov 2022: 10.0%; sample: 60Dec 2022: 26.1%; sample: 92Jan 2023: 37.6%; sample: 932023Feb 2023: 29.8%; sample: 84Mar 2023: 31.9%; sample: 94Apr 2023: 15.6%; sample: 90May 2023: 16.1%; sample: 93Jun 2023: 16.7%; sample: 90Jul 2023: 40.9%; sample: 93Aug 2023: 25.8%; sample: 93Sep 2023: 28.6%; sample: 91Oct 2023: 30.1%; sample: 93Nov 2023: 17.8%; sample: 90Dec 2023: 36.2%; sample: 94Jan 2024: 30.1%; sample: 932024Feb 2024: 41.4%; sample: 87Mar 2024: 17.2%; sample: 93Apr 2024: 51.1%; sample: 94May 2024: 18.3%; sample: 93Jun 2024: 21.1%; sample: 90Jul 2024: 20.4%; sample: 93Aug 2024: 35.5%; sample: 93Sep 2024: 32.2%; sample: 90Oct 2024: 57.0%; sample: 93Nov 2024: 11.1%; sample: 90Dec 2024: 19.4%; sample: 93Jan 2025: 21.5%; sample: 932025Feb 2025: 16.7%; sample: 84Mar 2025: 7.5%; sample: 93Apr 2025: 14.4%; sample: 90May 2025: 19.4%; sample: 93Jun 2025: 39.6%; sample: 91Jul 2025: 19.4%; sample: 93Aug 2025: 41.9%; sample: 93Sep 2025: 45.6%; sample: 90Oct 2025: 31.2%; sample: 93Nov 2025: 8.9%; sample: 90Dec 2025: 21.5%; sample: 93Jan 2026: 31.2%; sample: 932026Feb 2026: 12.4%; sample: 105Mar 2026: 83.2%; sample: 107Apr 2026: 61.7%; sample: 60May 2026: 25.8%; sample: 93Jun 2026: 10.0%; sample: 90Pandemic 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 201832.3% of 96 movements
Feb 201817.9% of 84 movements
Mar 201828.0% of 93 movements
Apr 201817.8% of 90 movements
May 20189.7% of 93 movements
Jun 20184.4% of 90 movements
Jul 201810.8% of 93 movements
Aug 201821.5% of 93 movements
Sep 201823.3% of 90 movements
Oct 201810.8% of 93 movements
Nov 20183.3% of 90 movements
Dec 201823.1% of 91 movements
Jan 201926.6% of 94 movements
Feb 201918.1% of 83 movements
Mar 201938.7% of 93 movements
Apr 201926.0% of 77 movements
May 20199.5% of 63 movements
Jun 20198.9% of 90 movements
Jul 201910.4% of 96 movements
Aug 201918.6% of 102 movements
Sep 201925.3% of 91 movements
Oct 201918.3% of 93 movements
Nov 20194.4% of 90 movements
Dec 201914.0% of 93 movements
Jan 202034.0% of 94 movements
Feb 202026.7% of 86 movements
Mar 20209.7% of 72 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 2020suppressed: fewer than twenty movements
Jan 2021suppressed: fewer than twenty movements
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 2021no data
May 2021no data
Jun 2021no data
Jul 2021no data
Aug 2021no data
Sep 2021no data
Oct 2021no data
Nov 2021no data
Dec 20214.5% of 22 movements — small sample, not ranked
Jan 202212.9% of 31 movements — small sample, not ranked
Feb 202220.4% of 49 movements — small sample, not ranked
Mar 202216.1% of 62 movements
Apr 202232.8% of 61 movements
May 20229.7% of 62 movements
Jun 20225.0% of 60 movements
Jul 202216.4% of 67 movements
Aug 202226.2% of 65 movements
Sep 202251.7% of 60 movements
Oct 202232.5% of 77 movements
Nov 202210.0% of 60 movements
Dec 202226.1% of 92 movements
Jan 202337.6% of 93 movements
Feb 202329.8% of 84 movements
Mar 202331.9% of 94 movements
Apr 202315.6% of 90 movements
May 202316.1% of 93 movements
Jun 202316.7% of 90 movements
Jul 202340.9% of 93 movements
Aug 202325.8% of 93 movements
Sep 202328.6% of 91 movements
Oct 202330.1% of 93 movements
Nov 202317.8% of 90 movements
Dec 202336.2% of 94 movements
Jan 202430.1% of 93 movements
Feb 202441.4% of 87 movements
Mar 202417.2% of 93 movements
Apr 202451.1% of 94 movements
May 202418.3% of 93 movements
Jun 202421.1% of 90 movements
Jul 202420.4% of 93 movements
Aug 202435.5% of 93 movements
Sep 202432.2% of 90 movements
Oct 202457.0% of 93 movements
Nov 202411.1% of 90 movements
Dec 202419.4% of 93 movements
Jan 202521.5% of 93 movements
Feb 202516.7% of 84 movements
Mar 20257.5% of 93 movements
Apr 202514.4% of 90 movements
May 202519.4% of 93 movements
Jun 202539.6% of 91 movements
Jul 202519.4% of 93 movements
Aug 202541.9% of 93 movements
Sep 202545.6% of 90 movements
Oct 202531.2% of 93 movements
Nov 20258.9% of 90 movements
Dec 202521.5% of 93 movements
Jan 202631.2% of 93 movements
Feb 202612.4% of 105 movements
Mar 202683.2% of 107 movements
Apr 202661.7% of 60 movements
May 202625.8% of 93 movements
Jun 202610.0% of 90 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 2022Arrivals16.4% of 67 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures71.6% of 67 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals25.8% of 93 movements27.9% across 991 flightsreturned after 3 months
NATS system failure · Aug 2023Departures51.0% of 96 movements41.0% across 995 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals7.5% of 93 movements26.8% across 1,099 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures19.4% of 93 movements40.6% across 1,096 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?

October has historically been the hardest month on this route: in a typical October, 30.6% of arrivals were disrupted, measured across 6 Octobers in the archive. November has been the calmest, at 9.4% across 6 Novembers.

Even October has ranged from 10.8% to 57.0% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201926.6% of 94 movements18.1% of 83 movements38.7% of 93 movements26.0% of 77 movements9.5% of 63 movements8.9% of 90 movements10.4% of 96 movements18.6% of 102 movements25.3% of 91 movements18.3% of 93 movements4.4% of 90 movements14.0% of 93 movements202034.0% of 94 movements26.7% of 86 movements9.7% of 72 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 movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno datano datano datano datano datano datano datano data4.5% of 22 movements †202212.9% of 31 movements †20.4% of 49 movements †16.1% of 62 movements32.8% of 61 movements9.7% of 62 movements5.0% of 60 movements16.4% of 67 movements26.2% of 65 movements51.7% of 60 movements32.5% of 77 movements10.0% of 60 movements26.1% of 92 movements202337.6% of 93 movements29.8% of 84 movements31.9% of 94 movements15.6% of 90 movements16.1% of 93 movements16.7% of 90 movements40.9% of 93 movements25.8% of 93 movements28.6% of 91 movements30.1% of 93 movements17.8% of 90 movements36.2% of 94 movements202430.1% of 93 movements41.4% of 87 movements17.2% of 93 movements51.1% of 94 movements18.3% of 93 movements21.1% of 90 movements20.4% of 93 movements35.5% of 93 movements32.2% of 90 movements57.0% of 93 movements11.1% of 90 movements19.4% of 93 movements202521.5% of 93 movements16.7% of 84 movements7.5% of 93 movements14.4% of 90 movements19.4% of 93 movements39.6% of 91 movements19.4% of 93 movements41.9% of 93 movements45.6% of 90 movements31.2% of 93 movements8.9% of 90 movements21.5% of 93 movements202631.2% of 93 movements12.4% of 105 movements83.2% of 107 movements61.7% of 60 movements25.8% of 93 movements10.0% of 90 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan30.1%12.9–37.6%7 months, 593 flights
Feb18.1%12.4–41.4%7 months, 576 flights
Mar28.0%7.5–83.2%7 months, 635 flights
Apr26.0%14.4–61.7%7 months, 562 flights
May16.1%9.5–25.8%7 months, 590 flights
Jun10.0%4.4–39.6%7 months, 601 flights
Jul17.9%10.4–40.9%6 months, 535 flights
Aug26.0%18.6–41.9%6 months, 539 flights
Sep30.4%23.3–51.7%6 months, 512 flights
Oct30.6%10.8–57.0%6 months, 542 flights
Nov9.4%3.3–17.8%6 months, 510 flights
Dec22.3%14.0–36.2%6 months, 556 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, 32.4% of 1,100 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 optionEmirates32.4% of 1,100 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
British Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Emirates1,10032.4% of 1,100 movements5.7% of 1,100 movements0.4% of 1,100 movementsdescriptive comparison

The noise check is a descriptive approximation assuming independent operations. Delay correlation and mix differences are not estimated; no ranking is derived.

Would another UK airport have been better?

Among UK airports flying to this city with enough flights to publish, 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 32.4% of 1,100 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 optionBhx ↔ Dubai26.4% of 644 flightsEdi ↔ Dubai20.3% of 340 flightsGla ↔ Dubai30.1% of 365 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
Bhx ↔ Dubai64426.4% of 644 movements6.2% of 644 movements0.5% of 644 movementsdescriptive comparison
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
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?

Barely: arrivals into LGW ran 32.4% of 1,100 movements disrupted, departures 30.3% of 1,095 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 LGW32.4% of 1,100 movements5.7% of 1,100 movements0.4% of 1,100 movements
Departures from LGW30.3% of 1,095 movements5.7% of 1,095 movements0.3% of 1,095 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 202625 flights out of 7,02525 × £520 = £13,000
ArrivalsLast 72 months · Jul 2020–Jun 202617 flights out of 4,61217 × £520 = £8,840
DeparturesWhole archive · Jan 2018–Jun 202628 flights out of 7,02628 × £520 = £14,560
DeparturesLast 72 months · Jul 2020–Jun 202618 flights out of 4,60818 × £520 = £9,360
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 airportGATWICK · LGW
Final point / countryDUBAI / UNITED ARAB EMIRATES
Final point codesDXB / OMDB
Great-circle distance5,474 km
Maximum statutory amount for the band£520
Average operated arrivals per day2.84
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 archive82

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: 1,100; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

32.4% of 1,100 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

5.7% of 1,100 movements in the same window.

How many delays crossed three hours?

0.4% of 1,100 movements in the same window; these are observed movements, not a count of claims.

What does the delay distribution look like?

chronically slightly late. The class compares the tail with short delays across routes in the corpus.

What distance is used?

5,474 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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