UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ PHILADELPHIA INTERNATIONAL

In the twelve months from July 2025 to June 2026, 19.9% of 955 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, 80.1% of 955 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 87 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, 19.9% of 955 movements were disrupted and 2.9% of 955 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
19.9% of 955 movements2.9% of 955 movements44.2–95.0 min; N of delayed flights=162–327955
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: 2.9% of 955 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 min17.0%30 min11.9%60 min6.0%120 min2.6%180 min1.2%360 min0.3%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min17.0% of 955 movements1625.9
>30 min11.9% of 955 movements1148.4
>60 min6.0% of 955 movements5716.8
>120 min2.6% of 955 movements2538.2
>180 min1.2% of 955 movements1186.8
>360 min0.3% of 955 movements3318.3
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 early34636.2%15–1 early25426.6%0–15 late16517.3%16–30485.0%31–60576.0%61…120323.4%121…180141.5%181…36080.8%>36030.3%D=955
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.1048; 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: Apr 2026, 5.6% of 90 movements. Worst month: Jun 2023, 48.1% of 81 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: 19.8%; sample: 1162018Feb 2018: 28.4%; sample: 102Mar 2018: 40.5%; sample: 121Apr 2018: 23.3%; sample: 116May 2018: 29.6%; sample: 108Jun 2018: 46.6%; sample: 103Jul 2018: 38.3%; sample: 107Aug 2018: 20.4%; sample: 103Sep 2018: 13.6%; sample: 103Oct 2018: 14.7%; sample: 102Nov 2018: 32.9%; sample: 85Dec 2018: 19.1%; sample: 89Jan 2019: 25.6%; sample: 902019Feb 2019: 15.5%; sample: 84Mar 2019: 26.9%; sample: 93Apr 2019: 15.4%; sample: 104May 2019: 20.0%; sample: 105Jun 2019: 41.7%; sample: 103Jul 2019: 29.2%; sample: 106Aug 2019: 29.2%; sample: 106Sep 2019: 16.2%; sample: 99Oct 2019: 12.6%; sample: 103Nov 2019: 10.4%; sample: 77Dec 2019: 14.8%; sample: 81Jan 2020: 11.1%; sample: 812020Feb 2020: 16.0%; sample: 75Mar 2020: 15.6%; sample: 45Apr 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: 16.7%; sample: 30May 2021: 12.9%; sample: 31Jun 2021: 13.3%; sample: 30Jul 2021: 19.4%; sample: 31Aug 2021: 25.8%; sample: 31Sep 2021: 13.3%; sample: 30Oct 2021: 14.3%; sample: 42Nov 2021: 14.5%; sample: 55Dec 2021: 13.6%; sample: 59Jan 2022: 6.9%; sample: 582022Feb 2022: 20.4%; sample: 49Mar 2022: 9.0%; sample: 67Apr 2022: 25.6%; sample: 90May 2022: 14.0%; sample: 93Jun 2022: 16.0%; sample: 81Jul 2022: 19.0%; sample: 84Aug 2022: 13.6%; sample: 81Sep 2022: 21.4%; sample: 84Oct 2022: 14.6%; sample: 82Nov 2022: 17.2%; sample: 58Dec 2022: 39.3%; sample: 61Jan 2023: 27.4%; sample: 622023Feb 2023: 30.4%; sample: 56Mar 2023: 35.3%; sample: 68Apr 2023: 22.2%; sample: 90May 2023: 13.8%; sample: 94Jun 2023: 48.1%; sample: 81Jul 2023: 34.0%; sample: 94Aug 2023: 20.4%; sample: 93Sep 2023: 28.9%; sample: 90Oct 2023: 13.3%; sample: 90Nov 2023: 19.0%; sample: 58Dec 2023: 16.4%; sample: 61Jan 2024: 37.7%; sample: 612024Feb 2024: 25.9%; sample: 58Mar 2024: 16.1%; sample: 62Apr 2024: 18.9%; sample: 90May 2024: 17.0%; sample: 94Jun 2024: 25.3%; sample: 91Jul 2024: 37.6%; sample: 93Aug 2024: 38.5%; sample: 96Sep 2024: 28.9%; sample: 90Oct 2024: 17.0%; sample: 88Nov 2024: 23.3%; sample: 60Dec 2024: 29.7%; sample: 64Jan 2025: 25.8%; sample: 622025Feb 2025: 21.4%; sample: 56Mar 2025: 28.1%; sample: 64Apr 2025: 16.3%; sample: 92May 2025: 19.4%; sample: 93Jun 2025: 14.4%; sample: 90Jul 2025: 40.4%; sample: 94Aug 2025: 28.1%; sample: 96Sep 2025: 20.4%; sample: 93Oct 2025: 17.0%; sample: 88Nov 2025: 13.3%; sample: 60Dec 2025: 15.6%; sample: 64Jan 2026: 35.4%; sample: 652026Feb 2026: 17.9%; sample: 56Mar 2026: 7.7%; sample: 65Apr 2026: 5.6%; sample: 90May 2026: 10.6%; sample: 94Jun 2026: 22.2%; 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 201819.8% of 116 movements
Feb 201828.4% of 102 movements
Mar 201840.5% of 121 movements
Apr 201823.3% of 116 movements
May 201829.6% of 108 movements
Jun 201846.6% of 103 movements
Jul 201838.3% of 107 movements
Aug 201820.4% of 103 movements
Sep 201813.6% of 103 movements
Oct 201814.7% of 102 movements
Nov 201832.9% of 85 movements
Dec 201819.1% of 89 movements
Jan 201925.6% of 90 movements
Feb 201915.5% of 84 movements
Mar 201926.9% of 93 movements
Apr 201915.4% of 104 movements
May 201920.0% of 105 movements
Jun 201941.7% of 103 movements
Jul 201929.2% of 106 movements
Aug 201929.2% of 106 movements
Sep 201916.2% of 99 movements
Oct 201912.6% of 103 movements
Nov 201910.4% of 77 movements
Dec 201914.8% of 81 movements
Jan 202011.1% of 81 movements
Feb 202016.0% of 75 movements
Mar 202015.6% of 45 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 202116.7% of 30 movements — small sample, not ranked
May 202112.9% of 31 movements — small sample, not ranked
Jun 202113.3% of 30 movements — small sample, not ranked
Jul 202119.4% of 31 movements — small sample, not ranked
Aug 202125.8% of 31 movements — small sample, not ranked
Sep 202113.3% of 30 movements — small sample, not ranked
Oct 202114.3% of 42 movements — small sample, not ranked
Nov 202114.5% of 55 movements
Dec 202113.6% of 59 movements
Jan 20226.9% of 58 movements
Feb 202220.4% of 49 movements — small sample, not ranked
Mar 20229.0% of 67 movements
Apr 202225.6% of 90 movements
May 202214.0% of 93 movements
Jun 202216.0% of 81 movements
Jul 202219.0% of 84 movements
Aug 202213.6% of 81 movements
Sep 202221.4% of 84 movements
Oct 202214.6% of 82 movements
Nov 202217.2% of 58 movements
Dec 202239.3% of 61 movements
Jan 202327.4% of 62 movements
Feb 202330.4% of 56 movements
Mar 202335.3% of 68 movements
Apr 202322.2% of 90 movements
May 202313.8% of 94 movements
Jun 202348.1% of 81 movements
Jul 202334.0% of 94 movements
Aug 202320.4% of 93 movements
Sep 202328.9% of 90 movements
Oct 202313.3% of 90 movements
Nov 202319.0% of 58 movements
Dec 202316.4% of 61 movements
Jan 202437.7% of 61 movements
Feb 202425.9% of 58 movements
Mar 202416.1% of 62 movements
Apr 202418.9% of 90 movements
May 202417.0% of 94 movements
Jun 202425.3% of 91 movements
Jul 202437.6% of 93 movements
Aug 202438.5% of 96 movements
Sep 202428.9% of 90 movements
Oct 202417.0% of 88 movements
Nov 202423.3% of 60 movements
Dec 202429.7% of 64 movements
Jan 202525.8% of 62 movements
Feb 202521.4% of 56 movements
Mar 202528.1% of 64 movements
Apr 202516.3% of 92 movements
May 202519.4% of 93 movements
Jun 202514.4% of 90 movements
Jul 202540.4% of 94 movements
Aug 202528.1% of 96 movements
Sep 202520.4% of 93 movements
Oct 202517.0% of 88 movements
Nov 202513.3% of 60 movements
Dec 202515.6% of 64 movements
Jan 202635.4% of 65 movements
Feb 202617.9% of 56 movements
Mar 20267.7% of 65 movements
Apr 20265.6% of 90 movements
May 202610.6% of 94 movements
Jun 202622.2% 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 2022Arrivals19.0% of 84 movements16.1% across 686 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Departures41.7% of 84 movements19.7% across 686 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals20.4% of 93 movements26.5% across 911 flightsreturned after 2 months
NATS system failure · Aug 2023Departures24.7% of 93 movements34.2% across 911 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals28.1% of 64 movements25.0% across 946 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures36.9% of 65 movements29.3% across 955 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?

July has historically been the hardest month on this route: in a typical July, 35.8% of arrivals were disrupted, measured across 6 Julys in the archive. October has been the calmest, at 14.7% across 6 Octobers.

Even July has ranged from 19.0% to 40.4% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201925.6% of 90 movements15.5% of 84 movements26.9% of 93 movements15.4% of 104 movements20.0% of 105 movements41.7% of 103 movements29.2% of 106 movements29.2% of 106 movements16.2% of 99 movements12.6% of 103 movements10.4% of 77 movements14.8% of 81 movements202011.1% of 81 movements16.0% of 75 movements15.6% of 45 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 movements16.7% of 30 movements †12.9% of 31 movements †13.3% of 30 movements †19.4% of 31 movements †25.8% of 31 movements †13.3% of 30 movements †14.3% of 42 movements †14.5% of 55 movements13.6% of 59 movements20226.9% of 58 movements20.4% of 49 movements †9.0% of 67 movements25.6% of 90 movements14.0% of 93 movements16.0% of 81 movements19.0% of 84 movements13.6% of 81 movements21.4% of 84 movements14.6% of 82 movements17.2% of 58 movements39.3% of 61 movements202327.4% of 62 movements30.4% of 56 movements35.3% of 68 movements22.2% of 90 movements13.8% of 94 movements48.1% of 81 movements34.0% of 94 movements20.4% of 93 movements28.9% of 90 movements13.3% of 90 movements19.0% of 58 movements16.4% of 61 movements202437.7% of 61 movements25.9% of 58 movements16.1% of 62 movements18.9% of 90 movements17.0% of 94 movements25.3% of 91 movements37.6% of 93 movements38.5% of 96 movements28.9% of 90 movements17.0% of 88 movements23.3% of 60 movements29.7% of 64 movements202525.8% of 62 movements21.4% of 56 movements28.1% of 64 movements16.3% of 92 movements19.4% of 93 movements14.4% of 90 movements40.4% of 94 movements28.1% of 96 movements20.4% of 93 movements17.0% of 88 movements13.3% of 60 movements15.6% of 64 movements202635.4% of 65 movements17.9% of 56 movements7.7% of 65 movements5.6% of 90 movements10.6% of 94 movements22.2% of 90 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan25.8%6.9–37.7%7 months, 514 flights
Feb21.4%15.5–30.4%7 months, 461 flights
Mar26.9%7.7–40.5%7 months, 540 flights
Apr18.9%5.6–25.6%7 months, 672 flights
May17.0%10.6–29.6%7 months, 681 flights
Jun25.3%14.4–48.1%7 months, 639 flights
Jul35.8%19.0–40.4%6 months, 578 flights
Aug24.3%13.6–38.5%6 months, 575 flights
Sep20.9%13.6–28.9%6 months, 559 flights
Oct14.7%12.6–17.0%6 months, 553 flights
Nov18.1%10.4–32.9%6 months, 398 flights
Dec17.7%14.8–39.3%6 months, 420 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 18.8% of 368 movements, American Airlines 20.6% of 587 movements. The gap between them sits inside sampling noise.

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 Airlines20.6% of 587 flightsBritish Airways18.8% of 368 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
American Airlines58720.6% of 587 movements3.4% of 587 movements1.5% of 587 movementsdescriptive comparison
British Airways36818.8% of 368 movements2.2% of 368 movements0.5% of 368 movementsdescriptive comparison
Delta Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
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?

Among UK airports flying to this city with enough flights to publish, EDI had the lowest disruption share at 17.6% of 193 movements and EDI the highest at 17.6% of 193 movements. This route sits at 19.9% of 955 movements.

Each figure is arrivals into that UK airport, all carriers combined, over the same twelve months. It is a historical record, not a recommendation about where to fly from, and it says nothing about getting to or from each airport on the ground.

Observed disruption share by optionEdi ↔ Philadelphia-International17.6% of 193 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bhx ↔ Philadelphia-Internationalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Philadelphia-International19317.6% of 193 movements1.0% of 193 movementsno events in 193 movementsdescriptive comparison
Gla ↔ Philadelphia-Internationalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Philadelphia-Internationalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Philadelphia-Internationalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Philadelphia-Internationalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Philadelphia-Internationalsuppressed: 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 19.9% of 955 movements disrupted, departures 29.6% of 962 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 LHR19.9% of 955 movements2.9% of 955 movements1.2% of 955 movements
Departures from LHR29.6% of 962 movements3.5% of 962 movements0.8% of 962 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 202696 flights out of 7,16796 × £520 = £49,920
ArrivalsLast 72 months · Jul 2020–Jun 202658 flights out of 4,56058 × £520 = £30,160
DeparturesWhole archive · Jan 2018–Jun 202678 flights out of 7,19578 × £520 = £40,560
DeparturesLast 72 months · Jul 2020–Jun 202660 flights out of 4,58360 × £520 = £31,200
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 / countryPHILADELPHIA INTERNATIONAL / USA
Final point codesPHL / KPHL
Great-circle distance5,690 km
Maximum statutory amount for the band£520
Average operated arrivals per day2.54
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 archive96

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: 955; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

19.9% of 955 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

2.9% of 955 movements in the same window.

How many delays crossed three hours?

1.2% of 955 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?

5,690 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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