UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ CHARLOTTE

In the twelve months from July 2025 to June 2026, 32.5% of 1,085 movements arriving into LHR were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 67.5% of 1,085 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 36 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, 32.5% of 1,085 movements were disrupted and 3.0% of 1,085 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
32.5% of 1,085 movements3.0% of 1,085 movements74.2–120.8 min; N of delayed flights=320–5071,085
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: 3.0% of 1,085 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 min29.5%30 min18.6%60 min10.0%120 min4.2%180 min2.8%360 min1.8%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min29.5% of 1,085 movements3203.4
>30 min18.6% of 1,085 movements2025.4
>60 min10.0% of 1,085 movements10910.0
>120 min4.2% of 1,085 movements4623.6
>180 min2.8% of 1,085 movements3036.2
>360 min1.8% of 1,085 movements2054.2
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 early32730.1%15–1 early21820.1%0–15 late18717.2%16–3011810.9%31–60938.6%61…120635.8%121…180161.5%181…360100.9%>360201.8%D=1,085
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.1422; 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, 7.7% of 52 movements. Worst month: Jun 2025, 56.0% of 91 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: 15.2%; sample: 462018Feb 2018: 20.5%; sample: 44Mar 2018: 35.5%; sample: 62Apr 2018: 15.0%; sample: 60May 2018: 17.7%; sample: 62Jun 2018: 48.3%; sample: 60Jul 2018: 45.2%; sample: 62Aug 2018: 43.5%; sample: 62Sep 2018: 26.7%; sample: 60Oct 2018: 12.9%; sample: 62Nov 2018: 7.7%; sample: 52Dec 2018: 16.4%; sample: 61Jan 2019: 20.0%; sample: 452019Feb 2019: 13.3%; sample: 45Mar 2019: 11.3%; sample: 62Apr 2019: 18.3%; sample: 60May 2019: 33.9%; sample: 62Jun 2019: 31.7%; sample: 60Jul 2019: 27.4%; sample: 62Aug 2019: 45.2%; sample: 62Sep 2019: 25.4%; sample: 59Oct 2019: 17.5%; sample: 63Nov 2019: 11.5%; sample: 52Dec 2019: 14.8%; sample: 61Jan 2020: 16.1%; sample: 622020Feb 2020: 25.9%; sample: 58Mar 2020: 30.6%; sample: 36Apr 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: 13.3%; sample: 30May 2021: 25.8%; sample: 31Jun 2021: 23.3%; sample: 30Jul 2021: 32.3%; sample: 31Aug 2021: 29.0%; sample: 31Sep 2021: 16.7%; sample: 30Oct 2021: 16.1%; sample: 31Nov 2021: 13.8%; sample: 29Dec 2021: 16.1%; sample: 31Jan 2022: 16.1%; sample: 312022Feb 2022: 7.1%; sample: 28Mar 2022: 5.6%; sample: 36Apr 2022: 22.0%; sample: 59May 2022: 23.0%; sample: 61Jun 2022: 31.7%; sample: 60Jul 2022: 33.9%; sample: 62Aug 2022: 21.0%; sample: 62Sep 2022: 31.7%; sample: 60Oct 2022: 30.6%; sample: 62Nov 2022: 15.5%; sample: 58Dec 2022: 49.2%; sample: 61Jan 2023: 22.6%; sample: 622023Feb 2023: 25.0%; sample: 56Mar 2023: 25.8%; sample: 62Apr 2023: 29.9%; sample: 87May 2023: 41.9%; sample: 93Jun 2023: 36.7%; sample: 90Jul 2023: 25.8%; sample: 93Aug 2023: 26.9%; sample: 93Sep 2023: 34.4%; sample: 90Oct 2023: 31.2%; sample: 93Nov 2023: 11.8%; sample: 85Dec 2023: 23.7%; sample: 93Jan 2024: 27.7%; sample: 652024Feb 2024: 16.3%; sample: 86Mar 2024: 26.1%; sample: 92Apr 2024: 31.5%; sample: 89May 2024: 49.5%; sample: 93Jun 2024: 45.6%; sample: 90Jul 2024: 47.3%; sample: 93Aug 2024: 50.0%; sample: 94Sep 2024: 46.1%; sample: 89Oct 2024: 32.3%; sample: 93Nov 2024: 31.4%; sample: 86Dec 2024: 38.9%; sample: 95Jan 2025: 31.9%; sample: 912025Feb 2025: 22.2%; sample: 72Mar 2025: 43.0%; sample: 93Apr 2025: 27.8%; sample: 90May 2025: 36.6%; sample: 93Jun 2025: 56.0%; sample: 91Jul 2025: 44.7%; sample: 94Aug 2025: 39.4%; sample: 94Sep 2025: 26.4%; sample: 91Oct 2025: 34.4%; sample: 93Nov 2025: 30.2%; sample: 86Dec 2025: 32.6%; sample: 95Jan 2026: 34.1%; sample: 882026Feb 2026: 25.0%; sample: 72Mar 2026: 16.1%; sample: 93Apr 2026: 35.2%; sample: 91May 2026: 39.6%; sample: 96Jun 2026: 30.4%; sample: 92Pandemic 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 201815.2% of 46 movements — small sample, not ranked
Feb 201820.5% of 44 movements — small sample, not ranked
Mar 201835.5% of 62 movements
Apr 201815.0% of 60 movements
May 201817.7% of 62 movements
Jun 201848.3% of 60 movements
Jul 201845.2% of 62 movements
Aug 201843.5% of 62 movements
Sep 201826.7% of 60 movements
Oct 201812.9% of 62 movements
Nov 20187.7% of 52 movements
Dec 201816.4% of 61 movements
Jan 201920.0% of 45 movements — small sample, not ranked
Feb 201913.3% of 45 movements — small sample, not ranked
Mar 201911.3% of 62 movements
Apr 201918.3% of 60 movements
May 201933.9% of 62 movements
Jun 201931.7% of 60 movements
Jul 201927.4% of 62 movements
Aug 201945.2% of 62 movements
Sep 201925.4% of 59 movements
Oct 201917.5% of 63 movements
Nov 201911.5% of 52 movements
Dec 201914.8% of 61 movements
Jan 202016.1% of 62 movements
Feb 202025.9% of 58 movements
Mar 202030.6% of 36 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 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 202113.3% of 30 movements — small sample, not ranked
May 202125.8% of 31 movements — small sample, not ranked
Jun 202123.3% of 30 movements — small sample, not ranked
Jul 202132.3% of 31 movements — small sample, not ranked
Aug 202129.0% of 31 movements — small sample, not ranked
Sep 202116.7% of 30 movements — small sample, not ranked
Oct 202116.1% of 31 movements — small sample, not ranked
Nov 202113.8% of 29 movements — small sample, not ranked
Dec 202116.1% of 31 movements — small sample, not ranked
Jan 202216.1% of 31 movements — small sample, not ranked
Feb 20227.1% of 28 movements — small sample, not ranked
Mar 20225.6% of 36 movements — small sample, not ranked
Apr 202222.0% of 59 movements
May 202223.0% of 61 movements
Jun 202231.7% of 60 movements
Jul 202233.9% of 62 movements
Aug 202221.0% of 62 movements
Sep 202231.7% of 60 movements
Oct 202230.6% of 62 movements
Nov 202215.5% of 58 movements
Dec 202249.2% of 61 movements
Jan 202322.6% of 62 movements
Feb 202325.0% of 56 movements
Mar 202325.8% of 62 movements
Apr 202329.9% of 87 movements
May 202341.9% of 93 movements
Jun 202336.7% of 90 movements
Jul 202325.8% of 93 movements
Aug 202326.9% of 93 movements
Sep 202334.4% of 90 movements
Oct 202331.2% of 93 movements
Nov 202311.8% of 85 movements
Dec 202323.7% of 93 movements
Jan 202427.7% of 65 movements
Feb 202416.3% of 86 movements
Mar 202426.1% of 92 movements
Apr 202431.5% of 89 movements
May 202449.5% of 93 movements
Jun 202445.6% of 90 movements
Jul 202447.3% of 93 movements
Aug 202450.0% of 94 movements
Sep 202446.1% of 89 movements
Oct 202432.3% of 93 movements
Nov 202431.4% of 86 movements
Dec 202438.9% of 95 movements
Jan 202531.9% of 91 movements
Feb 202522.2% of 72 movements
Mar 202543.0% of 93 movements
Apr 202527.8% of 90 movements
May 202536.6% of 93 movements
Jun 202556.0% of 91 movements
Jul 202544.7% of 94 movements
Aug 202539.4% of 94 movements
Sep 202526.4% of 91 movements
Oct 202534.4% of 93 movements
Nov 202530.2% of 86 movements
Dec 202532.6% of 95 movements
Jan 202634.1% of 88 movements
Feb 202625.0% of 72 movements
Mar 202616.1% of 93 movements
Apr 202635.2% of 91 movements
May 202639.6% of 96 movements
Jun 202630.4% of 92 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 2022Arrivals33.9% of 62 movements19.1% across 458 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures38.7% of 62 movements10.9% across 457 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals26.9% of 93 movements29.6% across 846 flightsreturned after 3 months
NATS system failure · Aug 2023Departures13.8% of 94 movements17.1% across 847 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals43.0% of 93 movements37.7% across 1,077 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures24.5% of 94 movements22.1% across 1,087 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?

August has historically been the hardest month on this route: in a typical August, 41.5% of arrivals were disrupted, measured across 6 Augusts in the archive. November has been the calmest, at 13.6% across 6 Novembers.

Even August has ranged from 21.0% to 50.0% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201920.0% of 45 movements †13.3% of 45 movements †11.3% of 62 movements18.3% of 60 movements33.9% of 62 movements31.7% of 60 movements27.4% of 62 movements45.2% of 62 movements25.4% of 59 movements17.5% of 63 movements11.5% of 52 movements14.8% of 61 movements202016.1% of 62 movements25.9% of 58 movements30.6% of 36 movements †suppressed: 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 movements13.3% of 30 movements †25.8% of 31 movements †23.3% of 30 movements †32.3% of 31 movements †29.0% of 31 movements †16.7% of 30 movements †16.1% of 31 movements †13.8% of 29 movements †16.1% of 31 movements †202216.1% of 31 movements †7.1% of 28 movements †5.6% of 36 movements †22.0% of 59 movements23.0% of 61 movements31.7% of 60 movements33.9% of 62 movements21.0% of 62 movements31.7% of 60 movements30.6% of 62 movements15.5% of 58 movements49.2% of 61 movements202322.6% of 62 movements25.0% of 56 movements25.8% of 62 movements29.9% of 87 movements41.9% of 93 movements36.7% of 90 movements25.8% of 93 movements26.9% of 93 movements34.4% of 90 movements31.2% of 93 movements11.8% of 85 movements23.7% of 93 movements202427.7% of 65 movements16.3% of 86 movements26.1% of 92 movements31.5% of 89 movements49.5% of 93 movements45.6% of 90 movements47.3% of 93 movements50.0% of 94 movements46.1% of 89 movements32.3% of 93 movements31.4% of 86 movements38.9% of 95 movements202531.9% of 91 movements22.2% of 72 movements43.0% of 93 movements27.8% of 90 movements36.6% of 93 movements56.0% of 91 movements44.7% of 94 movements39.4% of 94 movements26.4% of 91 movements34.4% of 93 movements30.2% of 86 movements32.6% of 95 movements202634.1% of 88 movements25.0% of 72 movements16.1% of 93 movements35.2% of 91 movements39.6% of 96 movements30.4% of 92 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan22.6%15.2–34.1%7 months, 428 flights
Feb20.5%7.1–25.0%7 months, 403 flights
Mar25.8%5.6–43.0%7 months, 500 flights
Apr27.8%15.0–35.2%7 months, 536 flights
May36.6%17.7–49.5%7 months, 560 flights
Jun36.7%30.4–56.0%7 months, 543 flights
Jul39.3%25.8–47.3%6 months, 466 flights
Aug41.5%21.0–50.0%6 months, 467 flights
Sep29.2%25.4–46.1%6 months, 449 flights
Oct30.9%12.9–34.4%6 months, 466 flights
Nov13.6%7.7–31.4%6 months, 419 flights
Dec28.1%14.8–49.2%6 months, 466 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: American Airlines, 32.5% of 1,085 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 optionAmerican Airlines32.5% of 1,085 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
American Airlines1,08532.5% of 1,085 movements3.0% of 1,085 movements2.8% of 1,085 movementsdescriptive comparison
Virgin Atlantic Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

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

Would another UK airport have been better?

No other UK airport published enough flights to this city in this window.

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.

Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Gla ↔ Charlottesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Charlottesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Charlottesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Charlottesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

Does the direction you are flying change anything?

Yes: arrivals into LHR ran 32.5% of 1,085 movements disrupted, departures 23.7% of 1,107 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 LHR32.5% of 1,085 movements3.0% of 1,085 movements2.8% of 1,085 movements
Departures from LHR23.7% of 1,107 movements5.0% of 1,107 movements0.6% of 1,107 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 2026146 flights out of 6,185146 × £520 = £75,920
ArrivalsLast 72 months · Jul 2020–Jun 2026118 flights out of 4,643118 × £520 = £61,360
DeparturesWhole archive · Jan 2018–Jun 202668 flights out of 6,24968 × £520 = £35,360
DeparturesLast 72 months · Jul 2020–Jun 202650 flights out of 4,70450 × £520 = £26,000
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 airportHEATHROW · LHR
Final point / countryCHARLOTTE / USA
Final point codesCLT / KCLT
Great-circle distance6,409 km
Maximum statutory amount for the band£520
Average operated arrivals per day2.88
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: 1,085; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

32.5% of 1,085 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

3.0% of 1,085 movements in the same window.

How many delays crossed three hours?

2.8% of 1,085 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?

6,409 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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