UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

ABZ ↔ DUBLIN

In the twelve months from July 2025 to June 2026, 29.4% of 732 movements arriving into ABZ were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 70.6% of 732 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 105 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, 29.4% of 732 movements were disrupted and 2.7% of 732 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
29.4% of 732 movements2.7% of 732 movements25.3–56.4 min; N of delayed flights=195–407732
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 732 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 min26.6%30 min14.1%60 min5.6%120 min1.8%180 min1.0%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min26.6% of 732 movements1953.8
>30 min14.1% of 732 movements1037.1
>60 min5.6% of 732 movements4117.9
>120 min1.8% of 732 movements1356.3
>180 min1.0% of 732 movements7104.6
>360 minno events in 732 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?

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 early699.4%15–1 early23632.2%0–15 late21229.0%16–309212.6%31–60628.5%61…120283.8%121…18060.8%181…36071.0%>36000.0%D=732
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0455; 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 2025, 10.3% of 78 movements. Worst month: May 2023, 50.0% of 62 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: 9.1%; sample: 442018Feb 2018: 10.0%; sample: 40Mar 2018: 15.9%; sample: 44Apr 2018: 20.5%; sample: 44May 2018: 20.9%; sample: 43Jun 2018: 20.9%; sample: 43Jul 2018: 24.4%; sample: 45Aug 2018: 13.6%; sample: 44Sep 2018: 19.0%; sample: 42Oct 2018: 15.9%; sample: 44Nov 2018: 11.6%; sample: 43Dec 2018: 11.6%; sample: 43Jan 2019: 9.3%; sample: 432019Feb 2019: 2.6%; sample: 38Mar 2019: 13.6%; sample: 44Apr 2019: 20.9%; sample: 43May 2019: 34.1%; sample: 44Jun 2019: 30.2%; sample: 43Jul 2019: 20.5%; sample: 44Aug 2019: 27.3%; sample: 44Sep 2019: 41.9%; sample: 43Oct 2019: 14.3%; sample: 42Nov 2019: 0.0%; sample: 30Dec 2019: 3.2%; sample: 31Jan 2020: 0.0%; sample: 282020Feb 2020: 3.8%; sample: 26Mar 2020: suppressed: fewer than twenty movements×Apr 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: no data×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: suppressed: fewer than twenty movements×Nov 2021: suppressed: fewer than twenty movements×Dec 2021: suppressed: fewer than twenty movements×Jan 2022: suppressed: fewer than twenty movements×2022Feb 2022: suppressed: fewer than twenty movements×Mar 2022: 40.0%; sample: 20Apr 2022: 56.7%; sample: 30May 2022: 68.0%; sample: 25Jun 2022: 90.3%; sample: 31Jul 2022: 61.3%; sample: 31Aug 2022: 50.0%; sample: 30Sep 2022: 75.0%; sample: 28Oct 2022: 55.9%; sample: 34Nov 2022: 28.1%; sample: 57Dec 2022: 47.2%; sample: 53Jan 2023: 18.5%; sample: 542023Feb 2023: 25.0%; sample: 52Mar 2023: 31.0%; sample: 58Apr 2023: 35.0%; sample: 60May 2023: 50.0%; sample: 62Jun 2023: 45.8%; sample: 59Jul 2023: 40.3%; sample: 62Aug 2023: 48.4%; sample: 62Sep 2023: 35.0%; sample: 60Oct 2023: 37.1%; sample: 62Nov 2023: 23.5%; sample: 51Dec 2023: 36.2%; sample: 47Jan 2024: 38.0%; sample: 502024Feb 2024: 21.7%; sample: 46Mar 2024: 26.4%; sample: 53Apr 2024: 25.4%; sample: 59May 2024: 42.6%; sample: 61Jun 2024: 35.1%; sample: 57Jul 2024: 40.0%; sample: 60Aug 2024: 28.3%; sample: 60Sep 2024: 31.0%; sample: 58Oct 2024: 26.0%; sample: 73Nov 2024: 11.1%; sample: 72Dec 2024: 19.2%; sample: 73Jan 2025: 32.2%; sample: 592025Feb 2025: 33.9%; sample: 59Mar 2025: 13.5%; sample: 74Apr 2025: 16.4%; sample: 73May 2025: 10.3%; sample: 78Jun 2025: 19.4%; sample: 72Jul 2025: 33.3%; sample: 81Aug 2025: 35.6%; sample: 73Sep 2025: 40.9%; sample: 66Oct 2025: 33.8%; sample: 65Nov 2025: 41.4%; sample: 58Dec 2025: 31.6%; sample: 57Jan 2026: 36.5%; sample: 522026Feb 2026: 14.6%; sample: 48Mar 2026: 27.8%; sample: 54Apr 2026: 16.9%; sample: 59May 2026: 16.7%; sample: 60Jun 2026: 16.9%; sample: 59Pandemic 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 20189.1% of 44 movements — small sample, not ranked
Feb 201810.0% of 40 movements — small sample, not ranked
Mar 201815.9% of 44 movements — small sample, not ranked
Apr 201820.5% of 44 movements — small sample, not ranked
May 201820.9% of 43 movements — small sample, not ranked
Jun 201820.9% of 43 movements — small sample, not ranked
Jul 201824.4% of 45 movements — small sample, not ranked
Aug 201813.6% of 44 movements — small sample, not ranked
Sep 201819.0% of 42 movements — small sample, not ranked
Oct 201815.9% of 44 movements — small sample, not ranked
Nov 201811.6% of 43 movements — small sample, not ranked
Dec 201811.6% of 43 movements — small sample, not ranked
Jan 20199.3% of 43 movements — small sample, not ranked
Feb 20192.6% of 38 movements — small sample, not ranked
Mar 201913.6% of 44 movements — small sample, not ranked
Apr 201920.9% of 43 movements — small sample, not ranked
May 201934.1% of 44 movements — small sample, not ranked
Jun 201930.2% of 43 movements — small sample, not ranked
Jul 201920.5% of 44 movements — small sample, not ranked
Aug 201927.3% of 44 movements — small sample, not ranked
Sep 201941.9% of 43 movements — small sample, not ranked
Oct 201914.3% of 42 movements — small sample, not ranked
Nov 2019no events in 30 movements — small sample, not ranked
Dec 20193.2% of 31 movements — small sample, not ranked
Jan 2020no events in 28 movements — small sample, not ranked
Feb 20203.8% of 26 movements — small sample, not ranked
Mar 2020suppressed: fewer than twenty 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 2021no data
May 2021no data
Jun 2021no data
Jul 2021no data
Aug 2021no data
Sep 2021suppressed: fewer than twenty movements
Oct 2021suppressed: fewer than twenty movements
Nov 2021suppressed: fewer than twenty movements
Dec 2021suppressed: fewer than twenty movements
Jan 2022suppressed: fewer than twenty movements
Feb 2022suppressed: fewer than twenty movements
Mar 202240.0% of 20 movements — small sample, not ranked
Apr 202256.7% of 30 movements — small sample, not ranked
May 202268.0% of 25 movements — small sample, not ranked
Jun 202290.3% of 31 movements — small sample, not ranked
Jul 202261.3% of 31 movements — small sample, not ranked
Aug 202250.0% of 30 movements — small sample, not ranked
Sep 202275.0% of 28 movements — small sample, not ranked
Oct 202255.9% of 34 movements — small sample, not ranked
Nov 202228.1% of 57 movements
Dec 202247.2% of 53 movements
Jan 202318.5% of 54 movements
Feb 202325.0% of 52 movements
Mar 202331.0% of 58 movements
Apr 202335.0% of 60 movements
May 202350.0% of 62 movements
Jun 202345.8% of 59 movements
Jul 202340.3% of 62 movements
Aug 202348.4% of 62 movements
Sep 202335.0% of 60 movements
Oct 202337.1% of 62 movements
Nov 202323.5% of 51 movements
Dec 202336.2% of 47 movements — small sample, not ranked
Jan 202438.0% of 50 movements
Feb 202421.7% of 46 movements — small sample, not ranked
Mar 202426.4% of 53 movements
Apr 202425.4% of 59 movements
May 202442.6% of 61 movements
Jun 202435.1% of 57 movements
Jul 202440.0% of 60 movements
Aug 202428.3% of 60 movements
Sep 202431.0% of 58 movements
Oct 202426.0% of 73 movements
Nov 202411.1% of 72 movements
Dec 202419.2% of 73 movements
Jan 202532.2% of 59 movements
Feb 202533.9% of 59 movements
Mar 202513.5% of 74 movements
Apr 202516.4% of 73 movements
May 202510.3% of 78 movements
Jun 202519.4% of 72 movements
Jul 202533.3% of 81 movements
Aug 202535.6% of 73 movements
Sep 202540.9% of 66 movements
Oct 202533.8% of 65 movements
Nov 202541.4% of 58 movements
Dec 202531.6% of 57 movements
Jan 202636.5% of 52 movements
Feb 202614.6% of 48 movements — small sample, not ranked
Mar 202627.8% of 54 movements
Apr 202616.9% of 59 movements
May 202616.7% of 60 movements
Jun 202616.9% of 59 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 2022Arrivals61.3% of 31 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Departures35.5% of 31 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
NATS system failure · Aug 2023Arrivals48.4% of 62 movements41.8% across 609 flightsreturned the next month
NATS system failure · Aug 2023Departures48.4% of 62 movements37.8% across 611 flightsreturned after 3 months
Heathrow fire closure · Mar 2025Arrivals13.5% of 74 movements29.3% across 744 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures10.8% of 74 movements24.9% across 749 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, 38.0% of arrivals were disrupted, measured across 6 Septembers in the archive. November has been the calmest, at 17.6% across 6 Novembers.

Even September has ranged from 19.0% to 75.0% 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 nJanFebMarAprMayJunJulAugSepOctNovDec20199.3% of 43 movements †2.6% of 38 movements †13.6% of 44 movements †20.9% of 43 movements †34.1% of 44 movements †30.2% of 43 movements †20.5% of 44 movements †27.3% of 44 movements †41.9% of 43 movements †14.3% of 42 movements †no events in 30 movements †3.2% of 31 movements †2020no events in 28 movements †3.8% of 26 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 movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno datano datano datano datano datasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements2022suppressed: fewer than twenty movementssuppressed: fewer than twenty movements40.0% of 20 movements †56.7% of 30 movements †68.0% of 25 movements †90.3% of 31 movements †61.3% of 31 movements †50.0% of 30 movements †75.0% of 28 movements †55.9% of 34 movements †28.1% of 57 movements47.2% of 53 movements202318.5% of 54 movements25.0% of 52 movements31.0% of 58 movements35.0% of 60 movements50.0% of 62 movements45.8% of 59 movements40.3% of 62 movements48.4% of 62 movements35.0% of 60 movements37.1% of 62 movements23.5% of 51 movements36.2% of 47 movements †202438.0% of 50 movements21.7% of 46 movements †26.4% of 53 movements25.4% of 59 movements42.6% of 61 movements35.1% of 57 movements40.0% of 60 movements28.3% of 60 movements31.0% of 58 movements26.0% of 73 movements11.1% of 72 movements19.2% of 73 movements202532.2% of 59 movements33.9% of 59 movements13.5% of 74 movements16.4% of 73 movements10.3% of 78 movements19.4% of 72 movements33.3% of 81 movements35.6% of 73 movements40.9% of 66 movements33.8% of 65 movements41.4% of 58 movements31.6% of 57 movements202636.5% of 52 movements14.6% of 48 movements †27.8% of 54 movements16.9% of 59 movements16.7% of 60 movements16.9% of 59 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan25.4%9.1–38.0%6 months, 302 flights
Feb18.2%2.6–33.9%6 months, 283 flights
Mar26.4%13.5–40.0%7 months, 347 flights
Apr20.9%16.4–56.7%7 months, 368 flights
May34.1%10.3–68.0%7 months, 373 flights
Jun30.2%16.9–90.3%7 months, 364 flights
Jul36.7%20.5–61.3%6 months, 323 flights
Aug32.0%13.6–50.0%6 months, 313 flights
Sep38.0%19.0–75.0%6 months, 297 flights
Oct29.9%14.3–55.9%6 months, 320 flights
Nov17.6%0.0–41.4%6 months, 311 flights
Dec25.4%3.2–47.2%6 months, 304 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: Aer Lingus 26.8% of 365 movements, Loganair 31.9% of 367 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 Lingus26.8% of 365 flightsLoganair31.9% of 367 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Aer Lingus36526.8% of 365 movements3.0% of 365 movements1.1% of 365 movementsdescriptive comparison
Loganair36731.9% of 367 movements2.5% of 367 movements0.8% of 367 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 29.4% of 732 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 ↔ 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 flightsIom ↔ Dublin25.9% of 533 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
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
Lba ↔ Dublin1,84224.0% of 1,842 movements2.3% of 1,842 movements0.5% of 1,842 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 ABZ ran 29.4% of 732 movements disrupted, departures 26.7% of 730 movements.

It matters legally as well as practically: a departure from the UK and an arrival into the UK on a UK or EU carrier fall under different conditions, and a departure delay does not establish a late arrival at your final destination.

Arrivals and departures side by side
DirectionDisruptionCancellationsOver three hours
Arrivals into ABZ29.4% of 732 movements2.7% of 732 movements1.0% of 732 movements
Departures from ABZ26.7% of 730 movements2.5% of 730 movements1.1% of 730 movements
Definitions, denominators and limits

CAA conditions on delays and cancellations.

How many flights here crossed the three-hour mark?

The table below counts arrivals and departures that ran more than three hours late — the threshold that is one of the conditions for compensation — across the whole archive and within the last six years.

The pound figure beside each count is arithmetic, not money anyone received: it is the count multiplied by the maximum statutory amount for this distance band. Whether any of those flights actually qualified is not knowable from this data.

DirectionWindowFlights over three hoursArithmetic statutory ceiling
ArrivalsWhole archive · Jan 2018–Jun 202647 flights out of 4,05247 × £220 = £10,340
ArrivalsLast 72 months · Jul 2020–Jun 202645 flights out of 2,99045 × £220 = £9,900
DeparturesWhole archive · Jan 2018–Jun 202644 flights out of 4,06444 × £220 = £9,680
DeparturesLast 72 months · Jul 2020–Jun 202641 flights out of 3,00141 × £220 = £9,020
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 airportABERDEEN · ABZ
Final point / countryDUBLIN / IRISH REPUBLIC
Final point codesDUB / EIDW
Great-circle distance492 km
Maximum statutory amount for the band£220
Average operated arrivals per day1.95
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 archive84

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: 732; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

29.4% of 732 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 732 movements in the same window.

How many delays crossed three hours?

1.0% of 732 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?

492 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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