UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ SINGAPORE

In the twelve months from July 2025 to June 2026, 17.8% of 1,795 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, 82.2% of 1,795 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 224 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, 17.8% of 1,795 movements were disrupted and 0.2% of 1,795 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
17.8% of 1,795 movements0.2% of 1,795 movements23.2–57.2 min; N of delayed flights=315–7011,795
Definitions, denominators and limits

The bounds account for CAA rounding and the unknown number of zero delays. A point average across all operated movements, including punctual ones, would answer a different question and is not used here.

When it is late, how late is it?

Most delays here are short. The ladder below shows how many arrivals crossed each threshold, from a quarter of an hour up to six hours; each rung can only be smaller than the one above it.

Cancellations are counted separately: 0.2% of 1,795 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 min17.5%30 min7.8%60 min2.0%120 min0.6%180 min0.4%360 min0.2%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min17.5% of 1,795 movements3155.7
>30 min7.8% of 1,795 movements14012.8
>60 min2.0% of 1,795 movements3649.9
>120 min0.6% of 1,795 movements10179.5
>180 min0.4% of 1,795 movements8224.4
>360 min0.2% of 1,795 movements3598.3
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 early57532.0%15–1 early51528.7%0–15 late38621.5%16–301759.7%31–601045.8%61…120261.4%121…18020.1%181…36050.3%>36030.2%D=1,795
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0287; 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: Jan 2021, no events in 57 movements. Worst month: Oct 2021, 85.3% of 102 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: 21.3%; sample: 1552018Feb 2018: 12.1%; sample: 140Mar 2018: 22.6%; sample: 155Apr 2018: 36.7%; sample: 150May 2018: 15.5%; sample: 155Jun 2018: 18.0%; sample: 150Jul 2018: 16.1%; sample: 155Aug 2018: 12.3%; sample: 155Sep 2018: 24.7%; sample: 150Oct 2018: 35.5%; sample: 155Nov 2018: 14.7%; sample: 150Dec 2018: 19.9%; sample: 151Jan 2019: 24.5%; sample: 1552019Feb 2019: 28.3%; sample: 138Mar 2019: 47.1%; sample: 155Apr 2019: 64.0%; sample: 150May 2019: 43.2%; sample: 155Jun 2019: 22.0%; sample: 150Jul 2019: 27.7%; sample: 155Aug 2019: 25.2%; sample: 155Sep 2019: 26.8%; sample: 149Oct 2019: 25.8%; sample: 155Nov 2019: 2.7%; sample: 150Dec 2019: 16.6%; sample: 151Jan 2020: 34.7%; sample: 1502020Feb 2020: 41.0%; sample: 144Mar 2020: 8.5%; sample: 141Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: 11.1%; sample: 27Jul 2020: 12.5%; sample: 32Aug 2020: 12.5%; sample: 48Sep 2020: 3.4%; sample: 59Oct 2020: 14.5%; sample: 69Nov 2020: 3.4%; sample: 58Dec 2020: 4.0%; sample: 75Jan 2021: 0.0%; sample: 572021Feb 2021: 5.6%; sample: 54Mar 2021: 4.8%; sample: 62Apr 2021: 24.2%; sample: 62May 2021: 8.0%; sample: 75Jun 2021: 2.2%; sample: 93Jul 2021: 2.0%; sample: 98Aug 2021: 41.2%; sample: 97Sep 2021: 76.8%; sample: 95Oct 2021: 85.3%; sample: 102Nov 2021: 43.5%; sample: 108Dec 2021: 17.8%; sample: 118Jan 2022: 18.9%; sample: 1112022Feb 2022: 33.0%; sample: 100Mar 2022: 74.3%; sample: 109Apr 2022: 74.4%; sample: 90May 2022: 65.6%; sample: 93Jun 2022: 47.5%; sample: 120Jul 2022: 28.0%; sample: 125Aug 2022: 21.8%; sample: 124Sep 2022: 50.0%; sample: 120Oct 2022: 71.0%; sample: 124Nov 2022: 16.1%; sample: 143Dec 2022: 23.4%; sample: 154Jan 2023: 32.9%; sample: 1552023Feb 2023: 35.7%; sample: 140Mar 2023: 37.4%; sample: 155Apr 2023: 76.7%; sample: 150May 2023: 54.8%; sample: 155Jun 2023: 37.1%; sample: 151Jul 2023: 35.5%; sample: 155Aug 2023: 9.0%; sample: 155Sep 2023: 28.0%; sample: 150Oct 2023: 74.4%; sample: 156Nov 2023: 36.0%; sample: 150Dec 2023: 40.4%; sample: 151Jan 2024: 54.2%; sample: 1552024Feb 2024: 41.7%; sample: 144Mar 2024: 19.9%; sample: 156Apr 2024: 71.3%; sample: 150May 2024: 79.4%; sample: 155Jun 2024: 66.2%; sample: 151Jul 2024: 14.2%; sample: 155Aug 2024: 34.8%; sample: 155Sep 2024: 40.0%; sample: 150Oct 2024: 59.1%; sample: 154Nov 2024: 31.4%; sample: 137Dec 2024: 29.6%; sample: 152Jan 2025: 26.5%; sample: 1552025Feb 2025: 41.8%; sample: 141Mar 2025: 24.7%; sample: 154Apr 2025: 41.3%; sample: 150May 2025: 28.4%; sample: 155Jun 2025: 43.7%; sample: 151Jul 2025: 23.1%; sample: 156Aug 2025: 6.5%; sample: 155Sep 2025: 17.9%; sample: 151Oct 2025: 25.2%; sample: 155Nov 2025: 5.3%; sample: 150Dec 2025: 11.8%; sample: 152Jan 2026: 19.9%; sample: 1412026Feb 2026: 18.3%; sample: 115Mar 2026: 7.9%; sample: 164Apr 2026: 38.0%; sample: 150May 2026: 20.0%; sample: 155Jun 2026: 20.5%; sample: 151Pandemic 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 201821.3% of 155 movements
Feb 201812.1% of 140 movements
Mar 201822.6% of 155 movements
Apr 201836.7% of 150 movements
May 201815.5% of 155 movements
Jun 201818.0% of 150 movements
Jul 201816.1% of 155 movements
Aug 201812.3% of 155 movements
Sep 201824.7% of 150 movements
Oct 201835.5% of 155 movements
Nov 201814.7% of 150 movements
Dec 201819.9% of 151 movements
Jan 201924.5% of 155 movements
Feb 201928.3% of 138 movements
Mar 201947.1% of 155 movements
Apr 201964.0% of 150 movements
May 201943.2% of 155 movements
Jun 201922.0% of 150 movements
Jul 201927.7% of 155 movements
Aug 201925.2% of 155 movements
Sep 201926.8% of 149 movements
Oct 201925.8% of 155 movements
Nov 20192.7% of 150 movements
Dec 201916.6% of 151 movements
Jan 202034.7% of 150 movements
Feb 202041.0% of 144 movements
Mar 20208.5% of 141 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 202011.1% of 27 movements — small sample, not ranked
Jul 202012.5% of 32 movements — small sample, not ranked
Aug 202012.5% of 48 movements — small sample, not ranked
Sep 20203.4% of 59 movements
Oct 202014.5% of 69 movements
Nov 20203.4% of 58 movements
Dec 20204.0% of 75 movements
Jan 2021no events in 57 movements
Feb 20215.6% of 54 movements
Mar 20214.8% of 62 movements
Apr 202124.2% of 62 movements
May 20218.0% of 75 movements
Jun 20212.2% of 93 movements
Jul 20212.0% of 98 movements
Aug 202141.2% of 97 movements
Sep 202176.8% of 95 movements
Oct 202185.3% of 102 movements
Nov 202143.5% of 108 movements
Dec 202117.8% of 118 movements
Jan 202218.9% of 111 movements
Feb 202233.0% of 100 movements
Mar 202274.3% of 109 movements
Apr 202274.4% of 90 movements
May 202265.6% of 93 movements
Jun 202247.5% of 120 movements
Jul 202228.0% of 125 movements
Aug 202221.8% of 124 movements
Sep 202250.0% of 120 movements
Oct 202271.0% of 124 movements
Nov 202216.1% of 143 movements
Dec 202223.4% of 154 movements
Jan 202332.9% of 155 movements
Feb 202335.7% of 140 movements
Mar 202337.4% of 155 movements
Apr 202376.7% of 150 movements
May 202354.8% of 155 movements
Jun 202337.1% of 151 movements
Jul 202335.5% of 155 movements
Aug 20239.0% of 155 movements
Sep 202328.0% of 150 movements
Oct 202374.4% of 156 movements
Nov 202336.0% of 150 movements
Dec 202340.4% of 151 movements
Jan 202454.2% of 155 movements
Feb 202441.7% of 144 movements
Mar 202419.9% of 156 movements
Apr 202471.3% of 150 movements
May 202479.4% of 155 movements
Jun 202466.2% of 151 movements
Jul 202414.2% of 155 movements
Aug 202434.8% of 155 movements
Sep 202440.0% of 150 movements
Oct 202459.1% of 154 movements
Nov 202431.4% of 137 movements
Dec 202429.6% of 152 movements
Jan 202526.5% of 155 movements
Feb 202541.8% of 141 movements
Mar 202524.7% of 154 movements
Apr 202541.3% of 150 movements
May 202528.4% of 155 movements
Jun 202543.7% of 151 movements
Jul 202523.1% of 156 movements
Aug 20256.5% of 155 movements
Sep 202517.9% of 151 movements
Oct 202525.2% of 155 movements
Nov 20255.3% of 150 movements
Dec 202511.8% of 152 movements
Jan 202619.9% of 141 movements
Feb 202618.3% of 115 movements
Mar 20267.9% of 164 movements
Apr 202638.0% of 150 movements
May 202620.0% of 155 movements
Jun 202620.5% of 151 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 2020Arrivals11.1% of 27 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departures10.0% of 30 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals28.0% of 125 movements48.4% across 1,241 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Departures46.8% of 124 movements31.8% across 1,240 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals9.0% of 155 movements41.0% across 1,726 flightsreturned the next month
NATS system failure · Aug 2023Departures31.0% of 155 movements33.5% across 1,727 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals24.7% of 154 movements42.8% across 1,811 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures18.7% of 155 movements31.8% across 1,808 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?

April has historically been the hardest month on this route: in a typical April, 64.0% of arrivals were disrupted, measured across 7 Aprils in the archive. November has been the calmest, at 15.4% across 6 Novembers.

Even April has ranged from 36.7% to 76.7% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201924.5% of 155 movements28.3% of 138 movements47.1% of 155 movements64.0% of 150 movements43.2% of 155 movements22.0% of 150 movements27.7% of 155 movements25.2% of 155 movements26.8% of 149 movements25.8% of 155 movements2.7% of 150 movements16.6% of 151 movements202034.7% of 150 movements41.0% of 144 movements8.5% of 141 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements11.1% of 27 movements †12.5% of 32 movements †12.5% of 48 movements †3.4% of 59 movements14.5% of 69 movements3.4% of 58 movements4.0% of 75 movements2021no events in 57 movements5.6% of 54 movements4.8% of 62 movements24.2% of 62 movements8.0% of 75 movements2.2% of 93 movements2.0% of 98 movements41.2% of 97 movements76.8% of 95 movements85.3% of 102 movements43.5% of 108 movements17.8% of 118 movements202218.9% of 111 movements33.0% of 100 movements74.3% of 109 movements74.4% of 90 movements65.6% of 93 movements47.5% of 120 movements28.0% of 125 movements21.8% of 124 movements50.0% of 120 movements71.0% of 124 movements16.1% of 143 movements23.4% of 154 movements202332.9% of 155 movements35.7% of 140 movements37.4% of 155 movements76.7% of 150 movements54.8% of 155 movements37.1% of 151 movements35.5% of 155 movements9.0% of 155 movements28.0% of 150 movements74.4% of 156 movements36.0% of 150 movements40.4% of 151 movements202454.2% of 155 movements41.7% of 144 movements19.9% of 156 movements71.3% of 150 movements79.4% of 155 movements66.2% of 151 movements14.2% of 155 movements34.8% of 155 movements40.0% of 150 movements59.1% of 154 movements31.4% of 137 movements29.6% of 152 movements202526.5% of 155 movements41.8% of 141 movements24.7% of 154 movements41.3% of 150 movements28.4% of 155 movements43.7% of 151 movements23.1% of 156 movements6.5% of 155 movements17.9% of 151 movements25.2% of 155 movements5.3% of 150 movements11.8% of 152 movements202619.9% of 141 movements18.3% of 115 movements7.9% of 164 movements38.0% of 150 movements20.0% of 155 movements20.5% of 151 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan24.5%18.9–54.2%7 months, 1,027 flights
Feb33.0%12.1–41.8%7 months, 918 flights
Mar24.7%7.9–74.3%7 months, 1,048 flights
Apr64.0%36.7–76.7%7 months, 990 flights
May43.2%15.5–79.4%7 months, 1,023 flights
Jun37.1%18.0–66.2%7 months, 1,024 flights
Jul25.4%14.2–35.5%6 months, 901 flights
Aug17.0%6.5–34.8%6 months, 899 flights
Sep27.4%17.9–50.0%6 months, 870 flights
Oct47.3%25.2–74.4%6 months, 899 flights
Nov15.4%2.7–36.0%6 months, 880 flights
Dec21.6%11.8–40.4%6 months, 911 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: British Airways 7.7% of 375 movements, Singapore Airlines 20.4% of 1,420 movements. Observed shares differ; the mix of operations is not matched, so no causal conclusion follows.

Figures cover arrivals, July 2025 to June 2026; lower is better in every column. Carriers with fewer than twenty published flights are suppressed rather than shown as zero. The page makes no ranking: the operations behind these shares are not matched for aircraft, time of day or season.

Observed disruption share by optionBritish Airways7.7% of 375 flightsSingapore Airlines20.4% of 1,420 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
British Airways3757.7% of 375 movements1.1% of 375 movements0.8% of 375 movementsdescriptive comparison
Qantassuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Singapore Airlines1,42020.4% of 1,420 movementsno events in 1,420 movements0.4% of 1,420 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, MAN had the lowest disruption share at 18.4% of 261 movements and LGW the highest at 24.4% of 405 movements. This route sits at 17.8% of 1,795 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 optionLgw ↔ Singapore24.4% of 405 flightsMan ↔ Singapore18.4% of 261 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bhx ↔ Singaporesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ema ↔ Singaporesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Singapore40524.4% of 405 movementsno events in 405 movements0.2% of 405 movementsdescriptive comparison
Man ↔ Singapore26118.4% of 261 movementsno events in 261 movementsno events in 261 movementsdescriptive comparison
Stn ↔ Singaporesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

Does the direction you are flying change anything?

Barely: arrivals into LHR ran 17.8% of 1,795 movements disrupted, departures 19.6% of 1,794 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 LHR17.8% of 1,795 movements0.2% of 1,795 movements0.4% of 1,795 movements
Departures from LHR19.6% of 1,794 movements0.4% of 1,794 movements0.3% of 1,794 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 202666 flights out of 13,24266 × £520 = £34,320
ArrivalsLast 72 months · Jul 2020–Jun 202642 flights out of 9,11342 × £520 = £21,840
DeparturesWhole archive · Jan 2018–Jun 202664 flights out of 13,23764 × £520 = £33,280
DeparturesLast 72 months · Jul 2020–Jun 202639 flights out of 9,11039 × £520 = £20,280
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 / countrySINGAPORE / SINGAPORE
Final point codesSIN / WSSS
Great-circle distance10,883 km
Maximum statutory amount for the band£520
Average operated arrivals per day4.91
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 archive102

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: 1,795; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

17.8% of 1,795 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.2% of 1,795 movements in the same window.

How many delays crossed three hours?

0.4% of 1,795 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?

10,883 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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