UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ LAGOS

In the twelve months from July 2025 to June 2026, 14.5% of 730 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, 85.5% of 730 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 104 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, 14.5% of 730 movements were disrupted and 0.1% of 730 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
14.5% of 730 movements0.1% of 730 movements30.4–81.6 min; N of delayed flights=105–259730
Definitions, denominators and limits

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

When it is late, how late is it?

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

Cancellations are counted separately: 0.1% of 730 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 min14.4%30 min6.7%60 min3.2%120 min1.6%180 min1.0%360 min0.5%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min14.4% of 730 movements1057.0
>30 min6.7% of 730 movements4914.9
>60 min3.2% of 730 movements2331.7
>120 min1.6% of 730 movements1260.8
>180 min1.0% of 730 movements7104.3
>360 min0.5% of 730 movements4182.5
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 early16923.2%15–1 early30141.2%0–15 late15421.1%16–30567.7%31–60263.6%61…120111.5%121…18050.7%181…36030.4%>36040.5%D=730
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0854; 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 2024, no events in 60 movements. Worst month: Jun 2021, 47.5% 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: 11.3%; sample: 622018Feb 2018: 7.1%; sample: 56Mar 2018: 12.9%; sample: 62Apr 2018: 1.7%; sample: 60May 2018: 9.7%; sample: 62Jun 2018: 5.0%; sample: 60Jul 2018: 6.5%; sample: 62Aug 2018: 9.7%; sample: 62Sep 2018: 8.3%; sample: 60Oct 2018: 12.9%; sample: 62Nov 2018: 8.3%; sample: 60Dec 2018: 19.4%; sample: 62Jan 2019: 17.7%; sample: 622019Feb 2019: 12.5%; sample: 56Mar 2019: 1.6%; sample: 62Apr 2019: 11.7%; sample: 60May 2019: 16.1%; sample: 62Jun 2019: 13.3%; sample: 60Jul 2019: 11.3%; sample: 62Aug 2019: 12.9%; sample: 62Sep 2019: 6.9%; sample: 58Oct 2019: 8.1%; sample: 62Nov 2019: 5.0%; sample: 60Dec 2019: 3.2%; sample: 62Jan 2020: 17.7%; sample: 622020Feb 2020: 29.3%; sample: 58Mar 2020: 28.6%; sample: 56Apr 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: 37.9%; sample: 29Oct 2020: 20.4%; sample: 49Nov 2020: 8.2%; sample: 49Dec 2020: 12.7%; sample: 63Jan 2021: 19.0%; sample: 632021Feb 2021: 21.4%; sample: 56Mar 2021: 9.7%; sample: 62Apr 2021: 25.0%; sample: 60May 2021: 3.2%; sample: 62Jun 2021: 47.5%; sample: 59Jul 2021: 22.6%; sample: 62Aug 2021: 41.9%; sample: 62Sep 2021: 33.3%; sample: 60Oct 2021: 17.7%; sample: 62Nov 2021: 6.7%; sample: 60Dec 2021: 12.5%; sample: 64Jan 2022: 34.4%; sample: 612022Feb 2022: 26.8%; sample: 56Mar 2022: 11.3%; sample: 62Apr 2022: 5.0%; sample: 60May 2022: 17.7%; sample: 62Jun 2022: 21.2%; sample: 52Jul 2022: 15.1%; sample: 53Aug 2022: 13.0%; sample: 54Sep 2022: 9.8%; sample: 51Oct 2022: 5.5%; sample: 55Nov 2022: 1.7%; sample: 60Dec 2022: 6.2%; sample: 64Jan 2023: 15.6%; sample: 642023Feb 2023: 7.1%; sample: 56Mar 2023: 8.1%; sample: 62Apr 2023: 11.7%; sample: 60May 2023: 12.9%; sample: 62Jun 2023: 3.3%; sample: 60Jul 2023: 11.1%; sample: 63Aug 2023: 22.6%; sample: 62Sep 2023: 26.7%; sample: 60Oct 2023: 18.8%; sample: 64Nov 2023: 13.3%; sample: 60Dec 2023: 14.5%; sample: 62Jan 2024: 8.1%; sample: 622024Feb 2024: 31.0%; sample: 58Mar 2024: 12.9%; sample: 62Apr 2024: 5.0%; sample: 60May 2024: 9.5%; sample: 63Jun 2024: 1.7%; sample: 59Jul 2024: 6.2%; sample: 64Aug 2024: 1.6%; sample: 62Sep 2024: 3.3%; sample: 60Oct 2024: 3.2%; sample: 62Nov 2024: 0.0%; sample: 60Dec 2024: 11.3%; sample: 62Jan 2025: 6.5%; sample: 622025Feb 2025: 3.6%; sample: 56Mar 2025: 9.7%; sample: 62Apr 2025: 6.7%; sample: 60May 2025: 9.7%; sample: 62Jun 2025: 1.7%; sample: 60Jul 2025: 3.2%; sample: 62Aug 2025: 9.7%; sample: 62Sep 2025: 13.3%; sample: 60Oct 2025: 6.5%; sample: 62Nov 2025: 8.3%; sample: 60Dec 2025: 12.9%; sample: 62Jan 2026: 14.5%; sample: 622026Feb 2026: 32.1%; sample: 56Mar 2026: 12.9%; sample: 62Apr 2026: 20.0%; sample: 60May 2026: 17.7%; sample: 62Jun 2026: 25.0%; sample: 60Pandemic 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 201811.3% of 62 movements
Feb 20187.1% of 56 movements
Mar 201812.9% of 62 movements
Apr 20181.7% of 60 movements
May 20189.7% of 62 movements
Jun 20185.0% of 60 movements
Jul 20186.5% of 62 movements
Aug 20189.7% of 62 movements
Sep 20188.3% of 60 movements
Oct 201812.9% of 62 movements
Nov 20188.3% of 60 movements
Dec 201819.4% of 62 movements
Jan 201917.7% of 62 movements
Feb 201912.5% of 56 movements
Mar 20191.6% of 62 movements
Apr 201911.7% of 60 movements
May 201916.1% of 62 movements
Jun 201913.3% of 60 movements
Jul 201911.3% of 62 movements
Aug 201912.9% of 62 movements
Sep 20196.9% of 58 movements
Oct 20198.1% of 62 movements
Nov 20195.0% of 60 movements
Dec 20193.2% of 62 movements
Jan 202017.7% of 62 movements
Feb 202029.3% of 58 movements
Mar 202028.6% of 56 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 202037.9% of 29 movements — small sample, not ranked
Oct 202020.4% of 49 movements — small sample, not ranked
Nov 20208.2% of 49 movements — small sample, not ranked
Dec 202012.7% of 63 movements
Jan 202119.0% of 63 movements
Feb 202121.4% of 56 movements
Mar 20219.7% of 62 movements
Apr 202125.0% of 60 movements
May 20213.2% of 62 movements
Jun 202147.5% of 59 movements
Jul 202122.6% of 62 movements
Aug 202141.9% of 62 movements
Sep 202133.3% of 60 movements
Oct 202117.7% of 62 movements
Nov 20216.7% of 60 movements
Dec 202112.5% of 64 movements
Jan 202234.4% of 61 movements
Feb 202226.8% of 56 movements
Mar 202211.3% of 62 movements
Apr 20225.0% of 60 movements
May 202217.7% of 62 movements
Jun 202221.2% of 52 movements
Jul 202215.1% of 53 movements
Aug 202213.0% of 54 movements
Sep 20229.8% of 51 movements
Oct 20225.5% of 55 movements
Nov 20221.7% of 60 movements
Dec 20226.2% of 64 movements
Jan 202315.6% of 64 movements
Feb 20237.1% of 56 movements
Mar 20238.1% of 62 movements
Apr 202311.7% of 60 movements
May 202312.9% of 62 movements
Jun 20233.3% of 60 movements
Jul 202311.1% of 63 movements
Aug 202322.6% of 62 movements
Sep 202326.7% of 60 movements
Oct 202318.8% of 64 movements
Nov 202313.3% of 60 movements
Dec 202314.5% of 62 movements
Jan 20248.1% of 62 movements
Feb 202431.0% of 58 movements
Mar 202412.9% of 62 movements
Apr 20245.0% of 60 movements
May 20249.5% of 63 movements
Jun 20241.7% of 59 movements
Jul 20246.2% of 64 movements
Aug 20241.6% of 62 movements
Sep 20243.3% of 60 movements
Oct 20243.2% of 62 movements
Nov 2024no events in 60 movements
Dec 202411.3% of 62 movements
Jan 20256.5% of 62 movements
Feb 20253.6% of 56 movements
Mar 20259.7% of 62 movements
Apr 20256.7% of 60 movements
May 20259.7% of 62 movements
Jun 20251.7% of 60 movements
Jul 20253.2% of 62 movements
Aug 20259.7% of 62 movements
Sep 202513.3% of 60 movements
Oct 20256.5% of 62 movements
Nov 20258.3% of 60 movements
Dec 202512.9% of 62 movements
Jan 202614.5% of 62 movements
Feb 202632.1% of 56 movements
Mar 202612.9% of 62 movements
Apr 202620.0% of 60 movements
May 202617.7% of 62 movements
Jun 202625.0% of 60 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 2022Arrivals15.1% of 53 movements20.9% across 723 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Departures56.6% of 53 movements45.7% across 721 flightsreturned the next month
NATS system failure · Aug 2023Arrivals22.6% of 62 movements8.8% across 711 flightsreturned after 5 months
NATS system failure · Aug 2023Departures29.0% of 62 movements44.2% across 705 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals9.7% of 62 movements5.4% across 732 flightsreturned after 3 months
Heathrow fire closure · Mar 2025Departures29.0% of 62 movements28.3% across 730 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, 14.5% of arrivals were disrupted, measured across 7 Januarys in the archive. June has been the calmest, at 5.0% across 7 Junes.

Even January has ranged from 6.5% to 34.4% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201917.7% of 62 movements12.5% of 56 movements1.6% of 62 movements11.7% of 60 movements16.1% of 62 movements13.3% of 60 movements11.3% of 62 movements12.9% of 62 movements6.9% of 58 movements8.1% of 62 movements5.0% of 60 movements3.2% of 62 movements202017.7% of 62 movements29.3% of 58 movements28.6% of 56 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements37.9% of 29 movements †20.4% of 49 movements †8.2% of 49 movements †12.7% of 63 movements202119.0% of 63 movements21.4% of 56 movements9.7% of 62 movements25.0% of 60 movements3.2% of 62 movements47.5% of 59 movements22.6% of 62 movements41.9% of 62 movements33.3% of 60 movements17.7% of 62 movements6.7% of 60 movements12.5% of 64 movements202234.4% of 61 movements26.8% of 56 movements11.3% of 62 movements5.0% of 60 movements17.7% of 62 movements21.2% of 52 movements15.1% of 53 movements13.0% of 54 movements9.8% of 51 movements5.5% of 55 movements1.7% of 60 movements6.2% of 64 movements202315.6% of 64 movements7.1% of 56 movements8.1% of 62 movements11.7% of 60 movements12.9% of 62 movements3.3% of 60 movements11.1% of 63 movements22.6% of 62 movements26.7% of 60 movements18.8% of 64 movements13.3% of 60 movements14.5% of 62 movements20248.1% of 62 movements31.0% of 58 movements12.9% of 62 movements5.0% of 60 movements9.5% of 63 movements1.7% of 59 movements6.2% of 64 movements1.6% of 62 movements3.3% of 60 movements3.2% of 62 movementsno events in 60 movements11.3% of 62 movements20256.5% of 62 movements3.6% of 56 movements9.7% of 62 movements6.7% of 60 movements9.7% of 62 movements1.7% of 60 movements3.2% of 62 movements9.7% of 62 movements13.3% of 60 movements6.5% of 62 movements8.3% of 60 movements12.9% of 62 movements202614.5% of 62 movements32.1% of 56 movements12.9% of 62 movements20.0% of 60 movements17.7% of 62 movements25.0% of 60 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan14.5%6.5–34.4%7 months, 435 flights
Feb12.5%3.6–32.1%7 months, 394 flights
Mar11.3%1.6–12.9%7 months, 434 flights
Apr6.7%1.7–20.0%7 months, 420 flights
May12.9%9.5–17.7%7 months, 435 flights
Jun5.0%1.7–25.0%7 months, 411 flights
Jul8.8%3.2–15.1%6 months, 366 flights
Aug11.3%1.6–22.6%6 months, 364 flights
Sep9.1%3.3–26.7%6 months, 349 flights
Oct7.3%3.2–18.8%6 months, 367 flights
Nov6.7%0.0–13.3%6 months, 360 flights
Dec12.1%3.2–19.4%6 months, 374 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 11.0% of 365 movements, Virgin Atlantic International 18.0% of 150 movements, Virgin Atlantic Airways 18.1% of 215 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 Airways11.0% of 365 flightsVirgin Atlantic Airways18.1% of 215 flightsVirgin Atlantic International18.0% of 150 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Arik Airsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
British Airways36511.0% of 365 movements0.3% of 365 movements1.1% of 365 movementsdescriptive comparison
Titan Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Virgin Atlantic Airways21518.1% of 215 movementsno events in 215 movements0.9% of 215 movementsdescriptive comparison
Virgin Atlantic International15018.0% of 150 movementsno events in 150 movements0.7% of 150 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, LGW had the lowest disruption share at 29.3% of 365 movements and LGW the highest at 29.3% of 365 movements. This route sits at 14.5% of 730 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 ↔ Lagos29.3% of 365 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Lagossuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Lagossuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Iom ↔ Lagossuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Lagos36529.3% of 365 movements0.8% of 365 movements0.3% of 365 movementsdescriptive comparison
Ltn ↔ Lagossuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Lagossuppressed: 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 14.5% of 730 movements disrupted, departures 24.2% of 730 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 LHR14.5% of 730 movements0.1% of 730 movements1.0% of 730 movements
Departures from LHR24.2% of 730 movementsno events in 730 movementsno events in 730 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 202634 flights out of 5,82534 × £520 = £17,680
ArrivalsLast 72 months · Jul 2020–Jun 202623 flights out of 4,17923 × £520 = £11,960
DeparturesWhole archive · Jan 2018–Jun 202627 flights out of 5,80727 × £520 = £14,040
DeparturesLast 72 months · Jul 2020–Jun 202618 flights out of 4,17118 × £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 airportHEATHROW · LHR
Final point / countryLAGOS / NIGERIA
Final point codesLOS / DNMM
Great-circle distance5,004 km
Maximum statutory amount for the band£520
Average operated arrivals per day2.00
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: 730; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

14.5% of 730 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.1% of 730 movements in the same window.

How many delays crossed three hours?

1.0% of 730 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?

5,004 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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