UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ SHANNON

In the twelve months from July 2025 to June 2026, 23.9% of 1,040 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, 76.1% of 1,040 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 520 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, 23.9% of 1,040 movements were disrupted and 0.9% of 1,040 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
23.9% of 1,040 movements0.9% of 1,040 movements22.7–48.5 min; N of delayed flights=240–4671,040
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: 0.9% of 1,040 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 min23.1%30 min10.7%60 min3.9%120 min0.6%180 min0.2%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min23.1% of 1,040 movements2404.3
>30 min10.7% of 1,040 movements1119.4
>60 min3.9% of 1,040 movements4125.4
>120 min0.6% of 1,040 movements6173.3
>180 min0.2% of 1,040 movements2520.0
>360 minno events in 1,040 movements0no observed events, which is not zero risk
Definitions, denominators and limits

CAA counts delays strictly greater than each threshold, so exactly three hours is inseparable from the previous bucket. The ladder describes the archive, not a forecast.

Slightly late, or occasionally a disaster?

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

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

Nine delay buckets, minutes; share of all recorded operations>15 early21921.1%15–1 early34533.2%0–15 late22721.8%16–3012912.4%31–60706.7%61…120353.4%121…18040.4%181…36020.2%>36000.0%D=1,040
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0101; 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: May 2019, no events in 93 movements. Worst month: Sep 2024, 57.0% of 86 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: 11.2%; sample: 892018Feb 2018: 13.8%; sample: 80Mar 2018: 21.6%; sample: 88Apr 2018: 21.8%; sample: 87May 2018: 7.5%; sample: 93Jun 2018: 3.3%; sample: 90Jul 2018: 4.3%; sample: 93Aug 2018: 1.1%; sample: 93Sep 2018: 3.3%; sample: 90Oct 2018: 16.3%; sample: 92Nov 2018: 24.4%; sample: 86Dec 2018: 26.4%; sample: 87Jan 2019: 3.5%; sample: 852019Feb 2019: 13.8%; sample: 80Mar 2019: 18.2%; sample: 88Apr 2019: 11.6%; sample: 86May 2019: 0.0%; sample: 93Jun 2019: 10.0%; sample: 90Jul 2019: 3.2%; sample: 93Aug 2019: 7.5%; sample: 93Sep 2019: 4.4%; sample: 90Oct 2019: 7.6%; sample: 92Nov 2019: 14.1%; sample: 85Dec 2019: 15.9%; sample: 88Jan 2020: 13.4%; sample: 822020Feb 2020: 35.4%; sample: 82Mar 2020: 0.0%; sample: 79Apr 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: suppressed: fewer than twenty movements×May 2021: no data×Jun 2021: no data×Jul 2021: no data×Aug 2021: no data×Sep 2021: suppressed: fewer than twenty movements×Oct 2021: 6.1%; sample: 33Nov 2021: 0.0%; sample: 30Dec 2021: 3.3%; sample: 30Jan 2022: 0.0%; sample: 312022Feb 2022: 10.8%; sample: 37Mar 2022: 7.9%; sample: 63Apr 2022: 14.1%; sample: 85May 2022: 13.5%; sample: 89Jun 2022: 24.4%; sample: 86Jul 2022: 17.9%; sample: 84Aug 2022: 21.2%; sample: 66Sep 2022: 28.3%; sample: 60Oct 2022: 22.2%; sample: 63Nov 2022: 22.0%; sample: 82Dec 2022: 45.7%; sample: 81Jan 2023: 22.1%; sample: 772023Feb 2023: 11.6%; sample: 69Mar 2023: 32.6%; sample: 86Apr 2023: 9.4%; sample: 85May 2023: 22.5%; sample: 89Jun 2023: 27.9%; sample: 86Jul 2023: 18.2%; sample: 88Aug 2023: 23.6%; sample: 89Sep 2023: 20.0%; sample: 85Oct 2023: 27.0%; sample: 89Nov 2023: 18.6%; sample: 86Dec 2023: 41.5%; sample: 82Jan 2024: 23.2%; sample: 822024Feb 2024: 25.3%; sample: 83Mar 2024: 33.0%; sample: 88Apr 2024: 37.2%; sample: 86May 2024: 42.7%; sample: 89Jun 2024: 20.5%; sample: 83Jul 2024: 31.5%; sample: 89Aug 2024: 37.5%; sample: 88Sep 2024: 57.0%; sample: 86Oct 2024: 36.0%; sample: 89Nov 2024: 32.9%; sample: 85Dec 2024: 54.1%; sample: 85Jan 2025: 31.5%; sample: 892025Feb 2025: 18.8%; sample: 80Mar 2025: 28.0%; sample: 93Apr 2025: 15.1%; sample: 86May 2025: 12.5%; sample: 88Jun 2025: 14.0%; sample: 86Jul 2025: 22.5%; sample: 89Aug 2025: 15.9%; sample: 88Sep 2025: 33.7%; sample: 86Oct 2025: 25.8%; sample: 89Nov 2025: 23.5%; sample: 85Dec 2025: 44.7%; sample: 85Jan 2026: 29.5%; sample: 882026Feb 2026: 21.2%; sample: 80Mar 2026: 16.9%; sample: 89Apr 2026: 16.3%; sample: 86May 2026: 15.7%; sample: 89Jun 2026: 22.1%; sample: 86Pandemic 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 201811.2% of 89 movements
Feb 201813.8% of 80 movements
Mar 201821.6% of 88 movements
Apr 201821.8% of 87 movements
May 20187.5% of 93 movements
Jun 20183.3% of 90 movements
Jul 20184.3% of 93 movements
Aug 20181.1% of 93 movements
Sep 20183.3% of 90 movements
Oct 201816.3% of 92 movements
Nov 201824.4% of 86 movements
Dec 201826.4% of 87 movements
Jan 20193.5% of 85 movements
Feb 201913.8% of 80 movements
Mar 201918.2% of 88 movements
Apr 201911.6% of 86 movements
May 2019no events in 93 movements
Jun 201910.0% of 90 movements
Jul 20193.2% of 93 movements
Aug 20197.5% of 93 movements
Sep 20194.4% of 90 movements
Oct 20197.6% of 92 movements
Nov 201914.1% of 85 movements
Dec 201915.9% of 88 movements
Jan 202013.4% of 82 movements
Feb 202035.4% of 82 movements
Mar 2020no events in 79 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 2020suppressed: fewer than twenty movements
Aug 2020suppressed: fewer than twenty movements
Sep 2020suppressed: fewer than twenty movements
Oct 2020suppressed: fewer than twenty movements
Nov 2020suppressed: fewer than twenty movements
Dec 2020suppressed: fewer than twenty movements
Jan 2021suppressed: fewer than twenty movements
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 2021suppressed: fewer than twenty movements
May 2021no data
Jun 2021no data
Jul 2021no data
Aug 2021no data
Sep 2021suppressed: fewer than twenty movements
Oct 20216.1% of 33 movements — small sample, not ranked
Nov 2021no events in 30 movements — small sample, not ranked
Dec 20213.3% of 30 movements — small sample, not ranked
Jan 2022no events in 31 movements — small sample, not ranked
Feb 202210.8% of 37 movements — small sample, not ranked
Mar 20227.9% of 63 movements
Apr 202214.1% of 85 movements
May 202213.5% of 89 movements
Jun 202224.4% of 86 movements
Jul 202217.9% of 84 movements
Aug 202221.2% of 66 movements
Sep 202228.3% of 60 movements
Oct 202222.2% of 63 movements
Nov 202222.0% of 82 movements
Dec 202245.7% of 81 movements
Jan 202322.1% of 77 movements
Feb 202311.6% of 69 movements
Mar 202332.6% of 86 movements
Apr 20239.4% of 85 movements
May 202322.5% of 89 movements
Jun 202327.9% of 86 movements
Jul 202318.2% of 88 movements
Aug 202323.6% of 89 movements
Sep 202320.0% of 85 movements
Oct 202327.0% of 89 movements
Nov 202318.6% of 86 movements
Dec 202341.5% of 82 movements
Jan 202423.2% of 82 movements
Feb 202425.3% of 83 movements
Mar 202433.0% of 88 movements
Apr 202437.2% of 86 movements
May 202442.7% of 89 movements
Jun 202420.5% of 83 movements
Jul 202431.5% of 89 movements
Aug 202437.5% of 88 movements
Sep 202457.0% of 86 movements
Oct 202436.0% of 89 movements
Nov 202432.9% of 85 movements
Dec 202454.1% of 85 movements
Jan 202531.5% of 89 movements
Feb 202518.8% of 80 movements
Mar 202528.0% of 93 movements
Apr 202515.1% of 86 movements
May 202512.5% of 88 movements
Jun 202514.0% of 86 movements
Jul 202522.5% of 89 movements
Aug 202515.9% of 88 movements
Sep 202533.7% of 86 movements
Oct 202525.8% of 89 movements
Nov 202523.5% of 85 movements
Dec 202544.7% of 85 movements
Jan 202629.5% of 88 movements
Feb 202621.2% of 80 movements
Mar 202616.9% of 89 movements
Apr 202616.3% of 86 movements
May 202615.7% of 89 movements
Jun 202622.1% of 86 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 2022Arrivals17.9% of 84 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures45.7% of 81 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals23.6% of 89 movements23.6% across 932 flightsreturned the next month
NATS system failure · Aug 2023Departures48.3% of 89 movements39.3% across 931 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals28.0% of 93 movements36.0% across 1,037 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures30.7% of 88 movements41.4% across 1,037 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?

December has historically been the hardest month on this route: in a typical December, 43.1% of arrivals were disrupted, measured across 6 Decembers in the archive. May has been the calmest, at 13.5% across 7 Mays.

Even December has ranged from 15.9% to 54.1% 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 nJanFebMarAprMayJunJulAugSepOctNovDec20193.5% of 85 movements13.8% of 80 movements18.2% of 88 movements11.6% of 86 movementsno events in 93 movements10.0% of 90 movements3.2% of 93 movements7.5% of 93 movements4.4% of 90 movements7.6% of 92 movements14.1% of 85 movements15.9% of 88 movements202013.4% of 82 movements35.4% of 82 movementsno events in 79 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno datano datano datano datasuppressed: fewer than twenty movements6.1% of 33 movements †no events in 30 movements †3.3% of 30 movements †2022no events in 31 movements †10.8% of 37 movements †7.9% of 63 movements14.1% of 85 movements13.5% of 89 movements24.4% of 86 movements17.9% of 84 movements21.2% of 66 movements28.3% of 60 movements22.2% of 63 movements22.0% of 82 movements45.7% of 81 movements202322.1% of 77 movements11.6% of 69 movements32.6% of 86 movements9.4% of 85 movements22.5% of 89 movements27.9% of 86 movements18.2% of 88 movements23.6% of 89 movements20.0% of 85 movements27.0% of 89 movements18.6% of 86 movements41.5% of 82 movements202423.2% of 82 movements25.3% of 83 movements33.0% of 88 movements37.2% of 86 movements42.7% of 89 movements20.5% of 83 movements31.5% of 89 movements37.5% of 88 movements57.0% of 86 movements36.0% of 89 movements32.9% of 85 movements54.1% of 85 movements202531.5% of 89 movements18.8% of 80 movements28.0% of 93 movements15.1% of 86 movements12.5% of 88 movements14.0% of 86 movements22.5% of 89 movements15.9% of 88 movements33.7% of 86 movements25.8% of 89 movements23.5% of 85 movements44.7% of 85 movements202629.5% of 88 movements21.2% of 80 movements16.9% of 89 movements16.3% of 86 movements15.7% of 89 movements22.1% of 86 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan22.1%0.0–31.5%7 months, 541 flights
Feb13.8%10.8–25.3%7 months, 509 flights
Mar21.6%7.9–33.0%7 months, 595 flights
Apr15.1%9.4–37.2%7 months, 601 flights
May13.5%0.0–42.7%7 months, 630 flights
Jun20.5%3.3–27.9%7 months, 607 flights
Jul18.0%3.2–31.5%6 months, 536 flights
Aug18.6%1.1–37.5%6 months, 517 flights
Sep24.2%3.3–57.0%6 months, 497 flights
Oct24.0%7.6–36.0%6 months, 514 flights
Nov22.7%14.1–32.9%6 months, 509 flights
Dec43.1%15.9–54.1%6 months, 508 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: Aer Lingus, 23.9% of 1,039 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 optionAer Lingus23.9% of 1,039 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Aer Lingus1,03923.9% of 1,039 movements0.9% of 1,039 movements0.1% of 1,039 movementsdescriptive comparison
British Airwayssuppressed: 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, LGW had the lowest disruption share at 11.0% of 363 movements and EDI the highest at 28.5% of 214 movements. This route sits at 23.9% of 1,040 movements.

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

Observed disruption share by optionBhx ↔ Shannon27.7% of 188 flightsEdi ↔ Shannon28.5% of 214 flightsLgw ↔ Shannon11.0% of 363 flightsLpl ↔ Shannon14.8% of 128 flightsMan ↔ Shannon23.3% of 373 flightsStn ↔ Shannon14.2% of 802 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Shannonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Shannonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Shannon18827.7% of 188 movementsno events in 188 movementsno events in 188 movementsdescriptive comparison
Boh ↔ Shannonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Shannonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Cwl ↔ Shannonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Shannonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Shannon21428.5% of 214 movementsno events in 214 movements0.5% of 214 movementsdescriptive comparison
Ema ↔ Shannonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Shannonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Shannonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Shannonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lcy ↔ Shannonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Shannon36311.0% of 363 movementsno events in 363 movements0.3% of 363 movementsdescriptive comparison
Lpl ↔ Shannon12814.8% of 128 movementsno events in 128 movementsno events in 128 movementsdescriptive comparison
Ltn ↔ Shannonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Shannon37323.3% of 373 movementsno events in 373 movements0.3% of 373 movementsdescriptive comparison
Ncl ↔ Shannonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sen ↔ Shannonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sou ↔ Shannonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Shannon80214.2% of 802 movementsno events in 802 movements0.1% of 802 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into LHR ran 23.9% of 1,040 movements disrupted, departures 27.5% of 1,039 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 LHR23.9% of 1,040 movements0.9% of 1,040 movements0.2% of 1,040 movements
Departures from LHR27.5% of 1,039 movements0.7% of 1,039 movements0.2% of 1,039 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 202610 flights out of 6,92210 × £220 = £2,200
ArrivalsLast 72 months · Jul 2020–Jun 202610 flights out of 4,54410 × £220 = £2,200
DeparturesWhole archive · Jan 2018–Jun 202611 flights out of 6,91011 × £220 = £2,420
DeparturesLast 72 months · Jul 2020–Jun 202610 flights out of 4,53410 × £220 = £2,200
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 / countrySHANNON / IRISH REPUBLIC
Final point codesSNN / EINN
Great-circle distance594 km
Maximum statutory amount for the band£220
Average operated arrivals per day2.82
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 archive86

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: 1,040; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

23.9% of 1,040 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.9% of 1,040 movements in the same window.

How many delays crossed three hours?

0.2% of 1,040 movements in the same window; these are observed movements, not a count of claims.

What does the delay distribution look like?

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

What distance is used?

594 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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