UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LBA ↔ DUBLIN

In the twelve months from July 2025 to June 2026, 24.0% of 1,842 movements arriving into LBA were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 76.0% of 1,842 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 205 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, 24.0% of 1,842 movements were disrupted and 2.3% of 1,842 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
24.0% of 1,842 movements2.3% of 1,842 movements25.8–62.8 min; N of delayed flights=400–9041,842
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: 2.3% of 1,842 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 min21.7%30 min13.0%60 min5.8%120 min1.4%180 min0.5%360 min0.2%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min21.7% of 1,842 movements4004.6
>30 min13.0% of 1,842 movements2397.7
>60 min5.8% of 1,842 movements10717.2
>120 min1.4% of 1,842 movements2573.7
>180 min0.5% of 1,842 movements9204.7
>360 min0.2% of 1,842 movements3614.0
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 early21711.8%15–1 early67936.9%0–15 late50427.4%16–301618.7%31–601327.2%61…120824.5%121…180160.9%181…36060.3%>36030.2%D=1,842
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0307; 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: Mar 2025, 7.7% of 142 movements. Worst month: Sep 2022, 63.5% of 104 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: 14.7%; sample: 1162018Feb 2018: 14.4%; sample: 104Mar 2018: 28.4%; sample: 116Apr 2018: 20.7%; sample: 116May 2018: 23.3%; sample: 120Jun 2018: 25.2%; sample: 115Jul 2018: 15.8%; sample: 120Aug 2018: 20.8%; sample: 120Sep 2018: 15.7%; sample: 115Oct 2018: 19.3%; sample: 119Nov 2018: 18.5%; sample: 108Dec 2018: 17.8%; sample: 107Jan 2019: 12.2%; sample: 1152019Feb 2019: 19.0%; sample: 105Mar 2019: 16.8%; sample: 113Apr 2019: 25.9%; sample: 116May 2019: 15.8%; sample: 120Jun 2019: 21.7%; sample: 115Jul 2019: 15.8%; sample: 120Aug 2019: 18.5%; sample: 119Sep 2019: 25.0%; sample: 116Oct 2019: 10.9%; sample: 119Nov 2019: 10.6%; sample: 123Dec 2019: 13.2%; sample: 121Jan 2020: 10.4%; sample: 1252020Feb 2020: 23.6%; sample: 110Mar 2020: 12.2%; sample: 98Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 0.0%; sample: 22Aug 2020: 0.0%; sample: 24Sep 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: no data×May 2021: no data×Jun 2021: no data×Jul 2021: suppressed: fewer than twenty movements×Aug 2021: suppressed: fewer than twenty movements×Sep 2021: 0.0%; sample: 25Oct 2021: 3.6%; sample: 28Nov 2021: 10.5%; sample: 38Dec 2021: 14.0%; sample: 43Jan 2022: 6.9%; sample: 292022Feb 2022: 15.0%; sample: 40Mar 2022: 12.5%; sample: 48Apr 2022: 41.3%; sample: 92May 2022: 49.2%; sample: 124Jun 2022: 59.7%; sample: 119Jul 2022: 59.1%; sample: 115Aug 2022: 58.3%; sample: 115Sep 2022: 63.5%; sample: 104Oct 2022: 57.5%; sample: 113Nov 2022: 32.4%; sample: 111Dec 2022: 47.8%; sample: 115Jan 2023: 21.2%; sample: 1182023Feb 2023: 16.3%; sample: 104Mar 2023: 25.2%; sample: 119Apr 2023: 45.1%; sample: 133May 2023: 33.6%; sample: 137Jun 2023: 32.6%; sample: 138Jul 2023: 42.9%; sample: 147Aug 2023: 42.0%; sample: 150Sep 2023: 37.5%; sample: 144Oct 2023: 34.8%; sample: 141Nov 2023: 14.8%; sample: 128Dec 2023: 28.6%; sample: 126Jan 2024: 21.2%; sample: 1322024Feb 2024: 12.4%; sample: 121Mar 2024: 18.0%; sample: 133Apr 2024: 17.8%; sample: 146May 2024: 37.0%; sample: 165Jun 2024: 32.3%; sample: 158Jul 2024: 34.8%; sample: 164Aug 2024: 26.2%; sample: 164Sep 2024: 39.6%; sample: 159Oct 2024: 28.3%; sample: 159Nov 2024: 10.4%; sample: 134Dec 2024: 27.8%; sample: 133Jan 2025: 21.8%; sample: 1242025Feb 2025: 15.0%; sample: 120Mar 2025: 7.7%; sample: 142Apr 2025: 13.5%; sample: 155May 2025: 19.5%; sample: 169Jun 2025: 30.1%; sample: 163Jul 2025: 25.6%; sample: 164Aug 2025: 26.5%; sample: 166Sep 2025: 31.9%; sample: 163Oct 2025: 23.5%; sample: 166Nov 2025: 26.2%; sample: 141Dec 2025: 30.4%; sample: 138Jan 2026: 20.9%; sample: 1392026Feb 2026: 18.8%; sample: 128Mar 2026: 20.9%; sample: 148Apr 2026: 15.3%; sample: 157May 2026: 17.3%; sample: 173Jun 2026: 30.2%; sample: 159Pandemic 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 201814.7% of 116 movements
Feb 201814.4% of 104 movements
Mar 201828.4% of 116 movements
Apr 201820.7% of 116 movements
May 201823.3% of 120 movements
Jun 201825.2% of 115 movements
Jul 201815.8% of 120 movements
Aug 201820.8% of 120 movements
Sep 201815.7% of 115 movements
Oct 201819.3% of 119 movements
Nov 201818.5% of 108 movements
Dec 201817.8% of 107 movements
Jan 201912.2% of 115 movements
Feb 201919.0% of 105 movements
Mar 201916.8% of 113 movements
Apr 201925.9% of 116 movements
May 201915.8% of 120 movements
Jun 201921.7% of 115 movements
Jul 201915.8% of 120 movements
Aug 201918.5% of 119 movements
Sep 201925.0% of 116 movements
Oct 201910.9% of 119 movements
Nov 201910.6% of 123 movements
Dec 201913.2% of 121 movements
Jan 202010.4% of 125 movements
Feb 202023.6% of 110 movements
Mar 202012.2% of 98 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 2020no events in 22 movements — small sample, not ranked
Aug 2020no events in 24 movements — small sample, not ranked
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 2021no data
May 2021no data
Jun 2021no data
Jul 2021suppressed: fewer than twenty movements
Aug 2021suppressed: fewer than twenty movements
Sep 2021no events in 25 movements — small sample, not ranked
Oct 20213.6% of 28 movements — small sample, not ranked
Nov 202110.5% of 38 movements — small sample, not ranked
Dec 202114.0% of 43 movements — small sample, not ranked
Jan 20226.9% of 29 movements — small sample, not ranked
Feb 202215.0% of 40 movements — small sample, not ranked
Mar 202212.5% of 48 movements — small sample, not ranked
Apr 202241.3% of 92 movements
May 202249.2% of 124 movements
Jun 202259.7% of 119 movements
Jul 202259.1% of 115 movements
Aug 202258.3% of 115 movements
Sep 202263.5% of 104 movements
Oct 202257.5% of 113 movements
Nov 202232.4% of 111 movements
Dec 202247.8% of 115 movements
Jan 202321.2% of 118 movements
Feb 202316.3% of 104 movements
Mar 202325.2% of 119 movements
Apr 202345.1% of 133 movements
May 202333.6% of 137 movements
Jun 202332.6% of 138 movements
Jul 202342.9% of 147 movements
Aug 202342.0% of 150 movements
Sep 202337.5% of 144 movements
Oct 202334.8% of 141 movements
Nov 202314.8% of 128 movements
Dec 202328.6% of 126 movements
Jan 202421.2% of 132 movements
Feb 202412.4% of 121 movements
Mar 202418.0% of 133 movements
Apr 202417.8% of 146 movements
May 202437.0% of 165 movements
Jun 202432.3% of 158 movements
Jul 202434.8% of 164 movements
Aug 202426.2% of 164 movements
Sep 202439.6% of 159 movements
Oct 202428.3% of 159 movements
Nov 202410.4% of 134 movements
Dec 202427.8% of 133 movements
Jan 202521.8% of 124 movements
Feb 202515.0% of 120 movements
Mar 20257.7% of 142 movements
Apr 202513.5% of 155 movements
May 202519.5% of 169 movements
Jun 202530.1% of 163 movements
Jul 202525.6% of 164 movements
Aug 202526.5% of 166 movements
Sep 202531.9% of 163 movements
Oct 202523.5% of 166 movements
Nov 202526.2% of 141 movements
Dec 202530.4% of 138 movements
Jan 202620.9% of 139 movements
Feb 202618.8% of 128 movements
Mar 202620.9% of 148 movements
Apr 202615.3% of 157 movements
May 202617.3% of 173 movements
Jun 202630.2% of 159 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 2022Arrivals59.1% of 115 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures56.0% of 116 movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals42.0% of 150 movements39.7% across 1,454 flightsreturned the next month
NATS system failure · Aug 2023Departures46.0% of 150 movements38.0% across 1,450 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals7.7% of 142 movements25.8% across 1,759 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures16.9% of 142 movements26.1% across 1,759 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?

September has historically been the hardest month on this route: in a typical September, 34.7% of arrivals were disrupted, measured across 6 Septembers in the archive. February has been the calmest, at 15.0% across 7 Februarys.

Even September has ranged from 15.7% to 63.5% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201912.2% of 115 movements19.0% of 105 movements16.8% of 113 movements25.9% of 116 movements15.8% of 120 movements21.7% of 115 movements15.8% of 120 movements18.5% of 119 movements25.0% of 116 movements10.9% of 119 movements10.6% of 123 movements13.2% of 121 movements202010.4% of 125 movements23.6% of 110 movements12.2% of 98 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno events in 22 movements †no events in 24 movements †suppressed: 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 movementsno datano datano datasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno events in 25 movements †3.6% of 28 movements †10.5% of 38 movements †14.0% of 43 movements †20226.9% of 29 movements †15.0% of 40 movements †12.5% of 48 movements †41.3% of 92 movements49.2% of 124 movements59.7% of 119 movements59.1% of 115 movements58.3% of 115 movements63.5% of 104 movements57.5% of 113 movements32.4% of 111 movements47.8% of 115 movements202321.2% of 118 movements16.3% of 104 movements25.2% of 119 movements45.1% of 133 movements33.6% of 137 movements32.6% of 138 movements42.9% of 147 movements42.0% of 150 movements37.5% of 144 movements34.8% of 141 movements14.8% of 128 movements28.6% of 126 movements202421.2% of 132 movements12.4% of 121 movements18.0% of 133 movements17.8% of 146 movements37.0% of 165 movements32.3% of 158 movements34.8% of 164 movements26.2% of 164 movements39.6% of 159 movements28.3% of 159 movements10.4% of 134 movements27.8% of 133 movements202521.8% of 124 movements15.0% of 120 movements7.7% of 142 movements13.5% of 155 movements19.5% of 169 movements30.1% of 163 movements25.6% of 164 movements26.5% of 166 movements31.9% of 163 movements23.5% of 166 movements26.2% of 141 movements30.4% of 138 movements202620.9% of 139 movements18.8% of 128 movements20.9% of 148 movements15.3% of 157 movements17.3% of 173 movements30.2% of 159 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan20.9%6.9–21.8%7 months, 773 flights
Feb15.0%12.4–19.0%7 months, 722 flights
Mar18.0%7.7–28.4%7 months, 819 flights
Apr20.7%13.5–45.1%7 months, 915 flights
May23.3%15.8–49.2%7 months, 1,008 flights
Jun30.2%21.7–59.7%7 months, 967 flights
Jul30.2%15.8–59.1%6 months, 830 flights
Aug26.4%18.5–58.3%6 months, 834 flights
Sep34.7%15.7–63.5%6 months, 801 flights
Oct25.9%10.9–57.5%6 months, 817 flights
Nov16.7%10.4–32.4%6 months, 745 flights
Dec28.2%13.2–47.8%6 months, 740 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: Ryanair 22.2% of 999 movements, Aer Lingus 26.1% of 843 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 optionAer Lingus26.1% of 843 flightsRyanair22.2% of 999 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Aer Lingus84326.1% of 843 movements4.7% of 843 movements0.6% of 843 movementsdescriptive comparison
Emerald Airlines (Ireland)suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jet2.Comsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ryanair99922.2% of 999 movements0.2% of 999 movements0.4% of 999 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, LCY had the lowest disruption share at 15.8% of 1,704 movements and JER the highest at 44.4% of 99 movements. This route sits at 24.0% of 1,842 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 optionAbz ↔ Dublin29.4% of 732 flightsBhx ↔ Dublin24.2% of 3,869 flightsBrs ↔ Dublin26.6% of 2,114 flightsCwl ↔ Dublin24.9% of 357 flightsEdi ↔ Dublin28.3% of 4,022 flightsEma ↔ Dublin20.7% of 532 flightsExt ↔ Dublin22.1% of 281 flightsGla ↔ Dublin20.8% of 2,825 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Dublin73229.4% of 732 movements2.7% of 732 movements1.0% of 732 movementsdescriptive comparison
Bfs ↔ Dublinsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Dublinsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Dublin3,86924.2% of 3,869 movements1.3% of 3,869 movements0.5% of 3,869 movementsdescriptive comparison
Boh ↔ Dublinsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Dublin2,11426.6% of 2,114 movements0.8% of 2,114 movements0.3% of 2,114 movementsdescriptive comparison
Cwl ↔ Dublin35724.9% of 357 movementsno events in 357 movementsno events in 357 movementsdescriptive comparison
Doncaster-Sheffield ↔ Dublinsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Durham-Tees-Valley ↔ Dublinsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Dublin4,02228.3% of 4,022 movements1.1% of 4,022 movements0.4% of 4,022 movementsdescriptive comparison
Ema ↔ Dublin53220.7% of 532 movements0.2% of 532 movements0.6% of 532 movementsdescriptive comparison
Ext ↔ Dublin28122.1% of 281 movements0.7% of 281 movements0.4% of 281 movementsdescriptive comparison
Gla ↔ Dublin2,82520.8% of 2,825 movements0.8% of 2,825 movements0.4% of 2,825 movementsdescriptive comparison
Iom ↔ Dublin53325.9% of 533 movements2.4% of 533 movements0.4% of 533 movementsdescriptive comparison
Jer ↔ Dublin9944.4% of 99 movementsno events in 99 movements1.0% of 99 movementsdescriptive comparison
Lcy ↔ Dublin1,70415.8% of 1,704 movements1.8% of 1,704 movements0.2% of 1,704 movementsdescriptive comparison
Lgw ↔ Dublin3,04623.2% of 3,046 movements0.0% of 3,046 movements0.2% of 3,046 movementsdescriptive comparison
Lhr ↔ Dublin6,19524.3% of 6,195 movements1.0% of 6,195 movements0.2% of 6,195 movementsdescriptive comparison
Lpl ↔ Dublin2,38418.5% of 2,384 movements0.7% of 2,384 movements0.6% of 2,384 movementsdescriptive comparison
Ltn ↔ Dublin1,29529.3% of 1,295 movements0.1% of 1,295 movements0.6% of 1,295 movementsdescriptive comparison
Man ↔ Dublin4,99425.7% of 4,994 movements0.8% of 4,994 movements0.3% of 4,994 movementsdescriptive comparison
Mme ↔ Dublinsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ Dublin1,08820.9% of 1,088 movements0.3% of 1,088 movements0.6% of 1,088 movementsdescriptive comparison
Sen ↔ Dublinsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sou ↔ Dublin89323.0% of 893 movements2.4% of 893 movements0.3% of 893 movementsdescriptive comparison
Stn ↔ Dublin3,02824.0% of 3,028 movementsno events in 3,028 movements0.4% of 3,028 movementsdescriptive comparison

Does the direction you are flying change anything?

Barely: arrivals into LBA ran 24.0% of 1,842 movements disrupted, departures 25.1% of 1,845 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 LBA24.0% of 1,842 movements2.3% of 1,842 movements0.5% of 1,842 movements
Departures from LBA25.1% of 1,845 movements2.5% of 1,845 movements0.7% of 1,845 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 202652 flights out of 10,56252 × £220 = £11,440
ArrivalsLast 72 months · Jul 2020–Jun 202640 flights out of 7,45140 × £220 = £8,800
DeparturesWhole archive · Jan 2018–Jun 202692 flights out of 10,56192 × £220 = £20,240
DeparturesLast 72 months · Jul 2020–Jun 202669 flights out of 7,44669 × £220 = £15,180
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 airportLEEDS BRADFORD · LBA
Final point / countryDUBLIN / IRISH REPUBLIC
Final point codesDUB / EIDW
Great-circle distance307 km
Maximum statutory amount for the band£220
Average operated arrivals per day4.93
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 archive94

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: 1,842; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

24.0% of 1,842 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

2.3% of 1,842 movements in the same window.

How many delays crossed three hours?

0.5% of 1,842 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?

307 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.

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Reconstruction and formulas

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