UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

ABZ ↔ AMS

In the twelve months from July 2025 to June 2026, 22.9% of 1,715 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, 77.1% of 1,715 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: no such event in this sample, which does not mean zero risk 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, 22.9% of 1,715 movements were disrupted and 4.2% of 1,715 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
22.9% of 1,715 movements4.2% of 1,715 movements17.0–53.5 min; N of delayed flights=321–9131,715
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: 4.2% of 1,715 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 min18.7%30 min8.6%60 min3.4%120 min0.4%180 min0.0%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min18.7% of 1,715 movements3215.3
>30 min8.6% of 1,715 movements14811.6
>60 min3.4% of 1,715 movements5829.6
>120 min0.4% of 1,715 movements7245.0
>180 minno events in 1,715 movements0no observed events, which is not zero risk
>360 minno events in 1,715 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 early452.6%15–1 early68539.9%0–15 late59234.5%16–3017310.1%31–60905.2%61…120513.0%121…18070.4%181…36000.0%>36000.0%D=1,715
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0000; 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: Aug 2020, no events in 89 movements. Worst month: Sep 2022, 43.2% of 111 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: 12.9%; sample: 1162018Feb 2018: 15.5%; sample: 116Mar 2018: 13.5%; sample: 141Apr 2018: 4.2%; sample: 120May 2018: 8.9%; sample: 124Jun 2018: 13.3%; sample: 120Jul 2018: 10.5%; sample: 124Aug 2018: 5.6%; sample: 124Sep 2018: 17.6%; sample: 148Oct 2018: 8.7%; sample: 150Nov 2018: 6.2%; sample: 113Dec 2018: 7.5%; sample: 107Jan 2019: 14.9%; sample: 1142019Feb 2019: 5.8%; sample: 103Mar 2019: 32.2%; sample: 115Apr 2019: 10.8%; sample: 120May 2019: 19.7%; sample: 147Jun 2019: 19.3%; sample: 150Jul 2019: 10.2%; sample: 128Aug 2019: 8.1%; sample: 124Sep 2019: 30.8%; sample: 146Oct 2019: 23.4%; sample: 154Nov 2019: 7.6%; sample: 132Dec 2019: 11.0%; sample: 127Jan 2020: 7.2%; sample: 1382020Feb 2020: 13.7%; sample: 117Mar 2020: suppressed: fewer than twenty movements×Apr 2020: 0.0%; sample: 27May 2020: 3.2%; sample: 31Jun 2020: 6.7%; sample: 30Jul 2020: 3.2%; sample: 31Aug 2020: 0.0%; sample: 89Sep 2020: 0.0%; sample: 100Oct 2020: 2.0%; sample: 99Nov 2020: 1.5%; sample: 65Dec 2020: 3.4%; sample: 59Jan 2021: 7.1%; sample: 422021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: 11.1%; sample: 45May 2021: 0.0%; sample: 56Jun 2021: 4.5%; sample: 66Jul 2021: 7.5%; sample: 93Aug 2021: 23.3%; sample: 90Sep 2021: 16.7%; sample: 90Oct 2021: 18.3%; sample: 93Nov 2021: 14.6%; sample: 89Dec 2021: 17.0%; sample: 112Jan 2022: 25.3%; sample: 952022Feb 2022: 25.9%; sample: 85Mar 2022: 17.3%; sample: 110Apr 2022: 41.8%; sample: 110May 2022: 40.5%; sample: 121Jun 2022: 33.6%; sample: 119Jul 2022: 32.7%; sample: 107Aug 2022: 21.0%; sample: 105Sep 2022: 43.2%; sample: 111Oct 2022: 27.1%; sample: 118Nov 2022: 17.1%; sample: 123Dec 2022: 17.4%; sample: 115Jan 2023: 9.6%; sample: 1152023Feb 2023: 5.8%; sample: 104Mar 2023: 22.9%; sample: 118Apr 2023: 13.7%; sample: 124May 2023: 20.6%; sample: 126Jun 2023: 26.4%; sample: 125Jul 2023: 20.5%; sample: 122Aug 2023: 15.3%; sample: 124Sep 2023: 21.1%; sample: 142Oct 2023: 28.4%; sample: 148Nov 2023: 26.2%; sample: 130Dec 2023: 35.1%; sample: 131Jan 2024: 24.1%; sample: 1372024Feb 2024: 22.0%; sample: 127Mar 2024: 11.5%; sample: 130Apr 2024: 27.0%; sample: 141May 2024: 22.6%; sample: 146Jun 2024: 18.3%; sample: 142Jul 2024: 23.2%; sample: 155Aug 2024: 15.5%; sample: 155Sep 2024: 28.0%; sample: 143Oct 2024: 20.5%; sample: 146Nov 2024: 20.7%; sample: 135Dec 2024: 24.3%; sample: 140Jan 2025: 28.7%; sample: 1432025Feb 2025: 15.6%; sample: 128Mar 2025: 19.6%; sample: 138Apr 2025: 10.0%; sample: 150May 2025: 18.1%; sample: 155Jun 2025: 24.0%; sample: 146Jul 2025: 35.3%; sample: 153Aug 2025: 28.6%; sample: 154Sep 2025: 32.4%; sample: 145Oct 2025: 32.9%; sample: 152Nov 2025: 24.2%; sample: 132Dec 2025: 13.4%; sample: 134Jan 2026: 39.9%; sample: 1382026Feb 2026: 11.8%; sample: 119Mar 2026: 14.9%; sample: 134Apr 2026: 11.3%; sample: 150May 2026: 13.5%; sample: 155Jun 2026: 14.1%; sample: 149Pandemic 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 201812.9% of 116 movements
Feb 201815.5% of 116 movements
Mar 201813.5% of 141 movements
Apr 20184.2% of 120 movements
May 20188.9% of 124 movements
Jun 201813.3% of 120 movements
Jul 201810.5% of 124 movements
Aug 20185.6% of 124 movements
Sep 201817.6% of 148 movements
Oct 20188.7% of 150 movements
Nov 20186.2% of 113 movements
Dec 20187.5% of 107 movements
Jan 201914.9% of 114 movements
Feb 20195.8% of 103 movements
Mar 201932.2% of 115 movements
Apr 201910.8% of 120 movements
May 201919.7% of 147 movements
Jun 201919.3% of 150 movements
Jul 201910.2% of 128 movements
Aug 20198.1% of 124 movements
Sep 201930.8% of 146 movements
Oct 201923.4% of 154 movements
Nov 20197.6% of 132 movements
Dec 201911.0% of 127 movements
Jan 20207.2% of 138 movements
Feb 202013.7% of 117 movements
Mar 2020suppressed: fewer than twenty movements
Apr 2020no events in 27 movements — small sample, not ranked
May 20203.2% of 31 movements — small sample, not ranked
Jun 20206.7% of 30 movements — small sample, not ranked
Jul 20203.2% of 31 movements — small sample, not ranked
Aug 2020no events in 89 movements
Sep 2020no events in 100 movements
Oct 20202.0% of 99 movements
Nov 20201.5% of 65 movements
Dec 20203.4% of 59 movements
Jan 20217.1% of 42 movements — small sample, not ranked
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 202111.1% of 45 movements — small sample, not ranked
May 2021no events in 56 movements
Jun 20214.5% of 66 movements
Jul 20217.5% of 93 movements
Aug 202123.3% of 90 movements
Sep 202116.7% of 90 movements
Oct 202118.3% of 93 movements
Nov 202114.6% of 89 movements
Dec 202117.0% of 112 movements
Jan 202225.3% of 95 movements
Feb 202225.9% of 85 movements
Mar 202217.3% of 110 movements
Apr 202241.8% of 110 movements
May 202240.5% of 121 movements
Jun 202233.6% of 119 movements
Jul 202232.7% of 107 movements
Aug 202221.0% of 105 movements
Sep 202243.2% of 111 movements
Oct 202227.1% of 118 movements
Nov 202217.1% of 123 movements
Dec 202217.4% of 115 movements
Jan 20239.6% of 115 movements
Feb 20235.8% of 104 movements
Mar 202322.9% of 118 movements
Apr 202313.7% of 124 movements
May 202320.6% of 126 movements
Jun 202326.4% of 125 movements
Jul 202320.5% of 122 movements
Aug 202315.3% of 124 movements
Sep 202321.1% of 142 movements
Oct 202328.4% of 148 movements
Nov 202326.2% of 130 movements
Dec 202335.1% of 131 movements
Jan 202424.1% of 137 movements
Feb 202422.0% of 127 movements
Mar 202411.5% of 130 movements
Apr 202427.0% of 141 movements
May 202422.6% of 146 movements
Jun 202418.3% of 142 movements
Jul 202423.2% of 155 movements
Aug 202415.5% of 155 movements
Sep 202428.0% of 143 movements
Oct 202420.5% of 146 movements
Nov 202420.7% of 135 movements
Dec 202424.3% of 140 movements
Jan 202528.7% of 143 movements
Feb 202515.6% of 128 movements
Mar 202519.6% of 138 movements
Apr 202510.0% of 150 movements
May 202518.1% of 155 movements
Jun 202524.0% of 146 movements
Jul 202535.3% of 153 movements
Aug 202528.6% of 154 movements
Sep 202532.4% of 145 movements
Oct 202532.9% of 152 movements
Nov 202524.2% of 132 movements
Dec 202513.4% of 134 movements
Jan 202639.9% of 138 movements
Feb 202611.8% of 119 movements
Mar 202614.9% of 134 movements
Apr 202611.3% of 150 movements
May 202613.5% of 155 movements
Jun 202614.1% of 149 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 2020Arrivals6.7% of 30 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departures13.3% of 30 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals32.7% of 107 movements23.5% across 1,207 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Departures35.5% of 107 movements28.3% across 1,199 flightsreturned the next month
NATS system failure · Aug 2023Arrivals15.3% of 124 movements20.4% across 1,406 flightsreturned after 7 months
NATS system failure · Aug 2023Departures17.7% of 124 movements26.8% across 1,405 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals19.6% of 138 movements21.3% across 1,704 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures22.3% of 139 movements27.4% across 1,707 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, 29.4% of arrivals were disrupted, measured across 6 Septembers in the archive. April has been the calmest, at 11.3% across 7 Aprils.

Even September has ranged from 17.6% to 43.2% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201914.9% of 114 movements5.8% of 103 movements32.2% of 115 movements10.8% of 120 movements19.7% of 147 movements19.3% of 150 movements10.2% of 128 movements8.1% of 124 movements30.8% of 146 movements23.4% of 154 movements7.6% of 132 movements11.0% of 127 movements20207.2% of 138 movements13.7% of 117 movementssuppressed: fewer than twenty movementsno events in 27 movements †3.2% of 31 movements †6.7% of 30 movements †3.2% of 31 movements †no events in 89 movementsno events in 100 movements2.0% of 99 movements1.5% of 65 movements3.4% of 59 movements20217.1% of 42 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movements11.1% of 45 movements †no events in 56 movements4.5% of 66 movements7.5% of 93 movements23.3% of 90 movements16.7% of 90 movements18.3% of 93 movements14.6% of 89 movements17.0% of 112 movements202225.3% of 95 movements25.9% of 85 movements17.3% of 110 movements41.8% of 110 movements40.5% of 121 movements33.6% of 119 movements32.7% of 107 movements21.0% of 105 movements43.2% of 111 movements27.1% of 118 movements17.1% of 123 movements17.4% of 115 movements20239.6% of 115 movements5.8% of 104 movements22.9% of 118 movements13.7% of 124 movements20.6% of 126 movements26.4% of 125 movements20.5% of 122 movements15.3% of 124 movements21.1% of 142 movements28.4% of 148 movements26.2% of 130 movements35.1% of 131 movements202424.1% of 137 movements22.0% of 127 movements11.5% of 130 movements27.0% of 141 movements22.6% of 146 movements18.3% of 142 movements23.2% of 155 movements15.5% of 155 movements28.0% of 143 movements20.5% of 146 movements20.7% of 135 movements24.3% of 140 movements202528.7% of 143 movements15.6% of 128 movements19.6% of 138 movements10.0% of 150 movements18.1% of 155 movements24.0% of 146 movements35.3% of 153 movements28.6% of 154 movements32.4% of 145 movements32.9% of 152 movements24.2% of 132 movements13.4% of 134 movements202639.9% of 138 movements11.8% of 119 movements14.9% of 134 movements11.3% of 150 movements13.5% of 155 movements14.1% of 149 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan24.1%9.6–39.9%7 months, 858 flights
Feb15.5%5.8–25.9%7 months, 782 flights
Mar17.3%11.5–32.2%7 months, 886 flights
Apr11.3%4.2–41.8%7 months, 915 flights
May19.7%8.9–40.5%7 months, 974 flights
Jun19.3%13.3–33.6%7 months, 951 flights
Jul21.9%10.2–35.3%6 months, 789 flights
Aug15.4%5.6–28.6%6 months, 786 flights
Sep29.4%17.6–43.2%6 months, 835 flights
Oct25.2%8.7–32.9%6 months, 868 flights
Nov18.9%6.2–26.2%6 months, 765 flights
Dec15.4%7.5–35.1%6 months, 754 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: Klm Cityhopper 20.2% of 1,347 movements, Klm 32.9% of 368 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 optionKlm32.9% of 368 flightsKlm Cityhopper20.2% of 1,347 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Klm36832.9% of 368 movements19.6% of 368 movementsno events in 368 movementsdescriptive comparison
Klm Cityhopper1,34720.2% of 1,347 movementsno events in 1,347 movementsno events in 1,347 movementsdescriptive comparison
Transaviasuppressed: 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, LCY had the lowest disruption share at 16.7% of 3,758 movements and BFS the highest at 41.3% of 213 movements. This route sits at 22.9% of 1,715 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 ↔ Ams41.3% of 213 flightsBhd ↔ Ams18.9% of 661 flightsBhx ↔ Ams26.0% of 2,325 flightsBrs ↔ Ams30.4% of 2,208 flightsCwl ↔ Ams22.2% of 729 flightsEdi ↔ Ams27.9% of 2,433 flightsExt ↔ Ams18.5% of 356 flightsGla ↔ Ams25.7% of 1,560 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Ams21341.3% of 213 movements2.3% of 213 movements0.5% of 213 movementsdescriptive comparison
Bhd ↔ Ams66118.9% of 661 movements2.1% of 661 movementsno events in 661 movementsdescriptive comparison
Bhx ↔ Ams2,32526.0% of 2,325 movements2.9% of 2,325 movements0.3% of 2,325 movementsdescriptive comparison
Boh ↔ Amssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Ams2,20830.4% of 2,208 movements2.4% of 2,208 movements0.6% of 2,208 movementsdescriptive comparison
Cwl ↔ Ams72922.2% of 729 movements4.1% of 729 movements0.4% of 729 movementsdescriptive comparison
Doncaster-Sheffield ↔ Amssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Durham-Tees-Valley ↔ Amssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Ams2,43327.9% of 2,433 movements2.7% of 2,433 movements0.4% of 2,433 movementsdescriptive comparison
Ema ↔ Amssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Ams35618.5% of 356 movements4.2% of 356 movementsno events in 356 movementsdescriptive comparison
Gla ↔ Ams1,56025.7% of 1,560 movements2.2% of 1,560 movements0.3% of 1,560 movementsdescriptive comparison
Jer ↔ Amssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Ams1,13024.3% of 1,130 movements3.5% of 1,130 movements0.1% of 1,130 movementsdescriptive comparison
Lcy ↔ Ams3,75816.7% of 3,758 movements2.8% of 3,758 movements0.3% of 3,758 movementsdescriptive comparison
Lgw ↔ Ams1,82127.3% of 1,821 movements2.1% of 1,821 movements0.6% of 1,821 movementsdescriptive comparison
Lhr ↔ Ams5,65524.4% of 5,655 movements2.6% of 5,655 movements0.3% of 5,655 movementsdescriptive comparison
Lpl ↔ Ams39223.7% of 392 movements2.3% of 392 movements0.3% of 392 movementsdescriptive comparison
Ltn ↔ Ams1,65330.2% of 1,653 movements1.7% of 1,653 movements0.7% of 1,653 movementsdescriptive comparison
Man ↔ Ams3,77738.4% of 3,777 movements2.4% of 3,777 movements0.5% of 3,777 movementsdescriptive comparison
Mme ↔ Ams84623.0% of 846 movements4.3% of 846 movements0.4% of 846 movementsdescriptive comparison
Ncl ↔ Ams1,82928.0% of 1,829 movements1.6% of 1,829 movements0.5% of 1,829 movementsdescriptive comparison
Sen ↔ Ams25026.8% of 250 movements0.4% of 250 movementsno events in 250 movementsdescriptive comparison
Sou ↔ Ams78923.3% of 789 movements3.0% of 789 movements0.3% of 789 movementsdescriptive comparison
Stn ↔ Ams49325.4% of 493 movements2.2% of 493 movements0.2% of 493 movementsdescriptive comparison

Does the direction you are flying change anything?

Barely: arrivals into ABZ ran 22.9% of 1,715 movements disrupted, departures 25.2% of 1,719 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 ABZ22.9% of 1,715 movements4.2% of 1,715 movementsno events in 1,715 movements
Departures from ABZ25.2% of 1,719 movements5.1% of 1,719 movements0.5% of 1,719 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 20266 flights out of 11,7436 × £220 = £1,320
ArrivalsLast 72 months · Jul 2020–Jun 20265 flights out of 8,3375 × £220 = £1,100
DeparturesWhole archive · Jan 2018–Jun 202641 flights out of 11,73641 × £220 = £9,020
DeparturesLast 72 months · Jul 2020–Jun 202635 flights out of 8,32935 × £220 = £7,700
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 / countryAMSTERDAM / NETHERLANDS
Final point codesAMS / EHAM
Great-circle distance703 km
Maximum statutory amount for the band£220
Average operated arrivals per day4.50
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 archive100

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: 1,715; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

22.9% of 1,715 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

4.2% of 1,715 movements in the same window.

How many delays crossed three hours?

no events in 1,715 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?

703 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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