UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

IOM ↔ LIVERPOOL JOHN LENNON

In the twelve months from July 2025 to June 2026, 19.4% of 1,043 movements arriving into IOM were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 80.6% of 1,043 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 116 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, 19.4% of 1,043 movements were disrupted and 2.7% of 1,043 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
19.4% of 1,043 movements2.7% of 1,043 movements29.1–81.3 min; N of delayed flights=174–4511,043
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: 2.7% of 1,043 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 min16.7%30 min9.6%60 min4.6%120 min1.6%180 min0.9%360 min0.3%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min16.7% of 1,043 movements1746.0
>30 min9.6% of 1,043 movements10010.4
>60 min4.6% of 1,043 movements4821.7
>120 min1.6% of 1,043 movements1761.4
>180 min0.9% of 1,043 movements9115.9
>360 min0.3% of 1,043 movements3347.7
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 early12612.1%15–1 early43842.0%0–15 late27726.6%16–30747.1%31–60525.0%61…120313.0%121…18080.8%181…36060.6%>36030.3%D=1,043
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0714; 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: Jul 2020, no events in 50 movements. Worst month: Apr 2024, 53.4% of 73 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: 10.4%; sample: 1442018Feb 2018: 23.9%; sample: 138Mar 2018: 15.5%; sample: 155Apr 2018: 12.2%; sample: 148May 2018: 13.2%; sample: 159Jun 2018: 7.9%; sample: 164Jul 2018: 15.4%; sample: 162Aug 2018: 8.1%; sample: 160Sep 2018: 10.1%; sample: 149Oct 2018: 10.8%; sample: 158Nov 2018: 16.5%; sample: 158Dec 2018: 10.2%; sample: 157Jan 2019: 6.5%; sample: 1552019Feb 2019: 13.3%; sample: 143Mar 2019: 10.3%; sample: 165Apr 2019: 10.9%; sample: 129May 2019: 11.0%; sample: 136Jun 2019: 16.7%; sample: 132Jul 2019: 14.3%; sample: 133Aug 2019: 10.6%; sample: 132Sep 2019: 8.0%; sample: 125Oct 2019: 8.5%; sample: 129Nov 2019: 6.9%; sample: 130Dec 2019: 15.2%; sample: 132Jan 2020: 10.6%; sample: 1232020Feb 2020: 17.7%; sample: 124Mar 2020: 14.4%; sample: 90Apr 2020: 6.2%; sample: 48May 2020: 0.0%; sample: 47Jun 2020: 27.1%; sample: 48Jul 2020: 0.0%; sample: 50Aug 2020: 2.1%; sample: 47Sep 2020: 8.3%; sample: 48Oct 2020: 12.5%; sample: 48Nov 2020: 8.5%; sample: 47Dec 2020: 13.0%; sample: 46Jan 2021: 8.9%; sample: 452021Feb 2021: 9.1%; sample: 44Mar 2021: 8.0%; sample: 50Apr 2021: 6.2%; sample: 48May 2021: 10.6%; sample: 47Jun 2021: 16.0%; sample: 50Jul 2021: 18.5%; sample: 65Aug 2021: 11.7%; sample: 77Sep 2021: 19.4%; sample: 72Oct 2021: 33.3%; sample: 78Nov 2021: 14.1%; sample: 99Dec 2021: 14.1%; sample: 99Jan 2022: 4.8%; sample: 832022Feb 2022: 26.1%; sample: 92Mar 2022: 11.2%; sample: 107Apr 2022: 18.6%; sample: 86May 2022: 32.6%; sample: 92Jun 2022: 29.7%; sample: 101Jul 2022: 31.6%; sample: 98Aug 2022: 18.4%; sample: 98Sep 2022: 27.1%; sample: 96Oct 2022: 26.0%; sample: 96Nov 2022: 38.7%; sample: 75Dec 2022: 39.5%; sample: 81Jan 2023: 21.2%; sample: 802023Feb 2023: 18.3%; sample: 82Mar 2023: 48.5%; sample: 97Apr 2023: 24.3%; sample: 103May 2023: 16.8%; sample: 107Jun 2023: 35.4%; sample: 113Jul 2023: 23.3%; sample: 103Aug 2023: 11.9%; sample: 101Sep 2023: 20.0%; sample: 100Oct 2023: 18.1%; sample: 105Nov 2023: 33.0%; sample: 94Dec 2023: 35.4%; sample: 96Jan 2024: 33.8%; sample: 772024Feb 2024: 41.5%; sample: 94Mar 2024: 23.2%; sample: 99Apr 2024: 53.4%; sample: 73May 2024: 23.7%; sample: 97Jun 2024: 31.1%; sample: 103Jul 2024: 34.0%; sample: 94Aug 2024: 33.7%; sample: 92Sep 2024: 41.8%; sample: 91Oct 2024: 34.7%; sample: 95Nov 2024: 27.2%; sample: 103Dec 2024: 26.7%; sample: 105Jan 2025: 31.3%; sample: 832025Feb 2025: 19.4%; sample: 93Mar 2025: 13.6%; sample: 103Apr 2025: 14.7%; sample: 68May 2025: 17.4%; sample: 86Jun 2025: 19.6%; sample: 92Jul 2025: 13.3%; sample: 75Aug 2025: 17.6%; sample: 74Sep 2025: 17.1%; sample: 70Oct 2025: 34.6%; sample: 81Nov 2025: 16.2%; sample: 99Dec 2025: 16.5%; sample: 103Jan 2026: 31.6%; sample: 792026Feb 2026: 19.8%; sample: 91Mar 2026: 16.8%; sample: 107Apr 2026: 13.7%; sample: 73May 2026: 12.8%; sample: 94Jun 2026: 23.7%; sample: 97Pandemic 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 201810.4% of 144 movements
Feb 201823.9% of 138 movements
Mar 201815.5% of 155 movements
Apr 201812.2% of 148 movements
May 201813.2% of 159 movements
Jun 20187.9% of 164 movements
Jul 201815.4% of 162 movements
Aug 20188.1% of 160 movements
Sep 201810.1% of 149 movements
Oct 201810.8% of 158 movements
Nov 201816.5% of 158 movements
Dec 201810.2% of 157 movements
Jan 20196.5% of 155 movements
Feb 201913.3% of 143 movements
Mar 201910.3% of 165 movements
Apr 201910.9% of 129 movements
May 201911.0% of 136 movements
Jun 201916.7% of 132 movements
Jul 201914.3% of 133 movements
Aug 201910.6% of 132 movements
Sep 20198.0% of 125 movements
Oct 20198.5% of 129 movements
Nov 20196.9% of 130 movements
Dec 201915.2% of 132 movements
Jan 202010.6% of 123 movements
Feb 202017.7% of 124 movements
Mar 202014.4% of 90 movements
Apr 20206.2% of 48 movements — small sample, not ranked
May 2020no events in 47 movements — small sample, not ranked
Jun 202027.1% of 48 movements — small sample, not ranked
Jul 2020no events in 50 movements
Aug 20202.1% of 47 movements — small sample, not ranked
Sep 20208.3% of 48 movements — small sample, not ranked
Oct 202012.5% of 48 movements — small sample, not ranked
Nov 20208.5% of 47 movements — small sample, not ranked
Dec 202013.0% of 46 movements — small sample, not ranked
Jan 20218.9% of 45 movements — small sample, not ranked
Feb 20219.1% of 44 movements — small sample, not ranked
Mar 20218.0% of 50 movements
Apr 20216.2% of 48 movements — small sample, not ranked
May 202110.6% of 47 movements — small sample, not ranked
Jun 202116.0% of 50 movements
Jul 202118.5% of 65 movements
Aug 202111.7% of 77 movements
Sep 202119.4% of 72 movements
Oct 202133.3% of 78 movements
Nov 202114.1% of 99 movements
Dec 202114.1% of 99 movements
Jan 20224.8% of 83 movements
Feb 202226.1% of 92 movements
Mar 202211.2% of 107 movements
Apr 202218.6% of 86 movements
May 202232.6% of 92 movements
Jun 202229.7% of 101 movements
Jul 202231.6% of 98 movements
Aug 202218.4% of 98 movements
Sep 202227.1% of 96 movements
Oct 202226.0% of 96 movements
Nov 202238.7% of 75 movements
Dec 202239.5% of 81 movements
Jan 202321.2% of 80 movements
Feb 202318.3% of 82 movements
Mar 202348.5% of 97 movements
Apr 202324.3% of 103 movements
May 202316.8% of 107 movements
Jun 202335.4% of 113 movements
Jul 202323.3% of 103 movements
Aug 202311.9% of 101 movements
Sep 202320.0% of 100 movements
Oct 202318.1% of 105 movements
Nov 202333.0% of 94 movements
Dec 202335.4% of 96 movements
Jan 202433.8% of 77 movements
Feb 202441.5% of 94 movements
Mar 202423.2% of 99 movements
Apr 202453.4% of 73 movements
May 202423.7% of 97 movements
Jun 202431.1% of 103 movements
Jul 202434.0% of 94 movements
Aug 202433.7% of 92 movements
Sep 202441.8% of 91 movements
Oct 202434.7% of 95 movements
Nov 202427.2% of 103 movements
Dec 202426.7% of 105 movements
Jan 202531.3% of 83 movements
Feb 202519.4% of 93 movements
Mar 202513.6% of 103 movements
Apr 202514.7% of 68 movements
May 202517.4% of 86 movements
Jun 202519.6% of 92 movements
Jul 202513.3% of 75 movements
Aug 202517.6% of 74 movements
Sep 202517.1% of 70 movements
Oct 202534.6% of 81 movements
Nov 202516.2% of 99 movements
Dec 202516.5% of 103 movements
Jan 202631.6% of 79 movements
Feb 202619.8% of 91 movements
Mar 202616.8% of 107 movements
Apr 202613.7% of 73 movements
May 202612.8% of 94 movements
Jun 202623.7% of 97 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 2020Arrivals27.1% of 48 movements — small sample, not ranked10.8% across 1,345 flightsreturned the next month
Pandemic regime · Jun 2020Departures22.9% of 48 movements — small sample, not ranked11.3% across 1,346 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Arrivals31.6% of 98 movements19.5% across 1,051 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Departures32.7% of 98 movements22.0% across 1,050 flightsreturned after 7 months
NATS system failure · Aug 2023Arrivals11.9% of 101 movements28.1% across 1,131 flightsreturned the next month
NATS system failure · Aug 2023Departures18.0% of 100 movements29.7% across 1,129 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals13.6% of 103 movements31.7% across 1,128 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures21.4% of 103 movements22.0% across 1,124 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?

June has historically been the hardest month on this route: in a typical June, 23.7% of arrivals were disrupted, measured across 7 Junes in the archive. April has been the calmest, at 14.7% across 7 Aprils.

Even June has ranged from 7.9% to 35.4% 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 nJanFebMarAprMayJunJulAugSepOctNovDec20196.5% of 155 movements13.3% of 143 movements10.3% of 165 movements10.9% of 129 movements11.0% of 136 movements16.7% of 132 movements14.3% of 133 movements10.6% of 132 movements8.0% of 125 movements8.5% of 129 movements6.9% of 130 movements15.2% of 132 movements202010.6% of 123 movements17.7% of 124 movements14.4% of 90 movements6.2% of 48 movements †no events in 47 movements †27.1% of 48 movements †no events in 50 movements2.1% of 47 movements †8.3% of 48 movements †12.5% of 48 movements †8.5% of 47 movements †13.0% of 46 movements †20218.9% of 45 movements †9.1% of 44 movements †8.0% of 50 movements6.2% of 48 movements †10.6% of 47 movements †16.0% of 50 movements18.5% of 65 movements11.7% of 77 movements19.4% of 72 movements33.3% of 78 movements14.1% of 99 movements14.1% of 99 movements20224.8% of 83 movements26.1% of 92 movements11.2% of 107 movements18.6% of 86 movements32.6% of 92 movements29.7% of 101 movements31.6% of 98 movements18.4% of 98 movements27.1% of 96 movements26.0% of 96 movements38.7% of 75 movements39.5% of 81 movements202321.2% of 80 movements18.3% of 82 movements48.5% of 97 movements24.3% of 103 movements16.8% of 107 movements35.4% of 113 movements23.3% of 103 movements11.9% of 101 movements20.0% of 100 movements18.1% of 105 movements33.0% of 94 movements35.4% of 96 movements202433.8% of 77 movements41.5% of 94 movements23.2% of 99 movements53.4% of 73 movements23.7% of 97 movements31.1% of 103 movements34.0% of 94 movements33.7% of 92 movements41.8% of 91 movements34.7% of 95 movements27.2% of 103 movements26.7% of 105 movements202531.3% of 83 movements19.4% of 93 movements13.6% of 103 movements14.7% of 68 movements17.4% of 86 movements19.6% of 92 movements13.3% of 75 movements17.6% of 74 movements17.1% of 70 movements34.6% of 81 movements16.2% of 99 movements16.5% of 103 movements202631.6% of 79 movements19.8% of 91 movements16.8% of 107 movements13.7% of 73 movements12.8% of 94 movements23.7% of 97 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan21.2%4.8–33.8%7 months, 701 flights
Feb19.8%13.3–41.5%7 months, 733 flights
Mar15.5%10.3–48.5%7 months, 833 flights
Apr14.7%10.9–53.4%7 months, 680 flights
May16.8%11.0–32.6%7 months, 771 flights
Jun23.7%7.9–35.4%7 months, 802 flights
Jul19.4%13.3–34.0%6 months, 665 flights
Aug14.7%8.1–33.7%6 months, 657 flights
Sep18.6%8.0–41.8%6 months, 631 flights
Oct22.1%8.5–34.7%6 months, 664 flights
Nov21.8%6.9–38.7%6 months, 659 flights
Dec21.6%10.2–39.5%6 months, 674 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: Easyjet Uk 11.8% of 423 movements, Loganair 24.5% of 620 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 optionEasyjet Uk11.8% of 423 flightsLoganair24.5% of 620 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Easyjet Airlinesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Uk42311.8% of 423 movements1.2% of 423 movements1.7% of 423 movementsdescriptive comparison
Flybesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Loganair62024.5% of 620 movements3.7% of 620 movements0.3% of 620 movementsdescriptive comparison
Netjets Transportes Aereossuppressed: 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, BHD had the lowest disruption share at 12.7% of 401 movements and BFS the highest at 15.2% of 1,295 movements. This route sits at 19.4% of 1,043 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 optionBfs ↔ Liverpool-John-Lennon15.2% of 1,295 flightsBhd ↔ Liverpool-John-Lennon12.7% of 401 flightsJer ↔ Liverpool-John-Lennon13.4% of 321 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Liverpool-John-Lennonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Liverpool-John-Lennon1,29515.2% of 1,295 movements0.8% of 1,295 movements0.4% of 1,295 movementsdescriptive comparison
Bhd ↔ Liverpool-John-Lennon40112.7% of 401 movements0.5% of 401 movementsno events in 401 movementsdescriptive comparison
Bhx ↔ Liverpool-John-Lennonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Boh ↔ Liverpool-John-Lennonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Liverpool-John-Lennonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Cwl ↔ Liverpool-John-Lennonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Liverpool-John-Lennonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Durham-Tees-Valley ↔ Liverpool-John-Lennonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Liverpool-John-Lennonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ema ↔ Liverpool-John-Lennonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Liverpool-John-Lennonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Liverpool-John-Lennonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jer ↔ Liverpool-John-Lennon32113.4% of 321 movements0.3% of 321 movements0.9% of 321 movementsdescriptive comparison
Lba ↔ Liverpool-John-Lennonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lcy ↔ Liverpool-John-Lennonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Liverpool-John-Lennonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lhr ↔ Liverpool-John-Lennonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Liverpool-John-Lennonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Liverpool-John-Lennonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Mme ↔ Liverpool-John-Lennonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ Liverpool-John-Lennonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sen ↔ Liverpool-John-Lennonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sou ↔ Liverpool-John-Lennonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Liverpool-John-Lennonsuppressed: 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 IOM ran 19.4% of 1,043 movements disrupted, departures 20.1% of 1,041 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 IOM19.4% of 1,043 movements2.7% of 1,043 movements0.9% of 1,043 movements
Departures from IOM20.1% of 1,041 movements2.5% of 1,041 movements0.9% of 1,041 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 202681 flights out of 10,01081 × £220 = £17,820
ArrivalsLast 72 months · Jul 2020–Jun 202656 flights out of 6,03756 × £220 = £12,320
DeparturesWhole archive · Jan 2018–Jun 202671 flights out of 9,99871 × £220 = £15,620
DeparturesLast 72 months · Jul 2020–Jun 202651 flights out of 6,02551 × £220 = £11,220
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 airportISLE OF MAN · IOM
Final point / countryLIVERPOOL (JOHN LENNON) / UNITED KINGDOM
Final point codesLPL / EGGP
Great-circle distance143 km
Maximum statutory amount for the band£220
Average operated arrivals per day2.78
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: 1,043; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

19.4% of 1,043 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

2.7% of 1,043 movements in the same window.

How many delays crossed three hours?

0.9% of 1,043 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?

143 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

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