UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

ABZ ↔ MANCHESTER

In the twelve months from July 2025 to June 2026, 30.4% of 740 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, 69.6% of 740 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 92 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, 30.4% of 740 movements were disrupted and 2.7% of 740 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
30.4% of 740 movements2.7% of 740 movements34.6–61.9 min; N of delayed flights=205–346740
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 740 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 min27.7%30 min15.8%60 min7.3%120 min3.0%180 min1.1%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min27.7% of 740 movements2053.6
>30 min15.8% of 740 movements1176.3
>60 min7.3% of 740 movements5413.7
>120 min3.0% of 740 movements2233.6
>180 min1.1% of 740 movements892.5
>360 minno events in 740 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 early10113.6%15–1 early27336.9%0–15 late14119.1%16–308811.9%31–60638.5%61…120324.3%121…180141.9%181…36081.1%>36000.0%D=740
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0530; 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: Nov 2019, 3.0% of 132 movements. Worst month: Dec 2022, 57.1% of 70 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: 7.4%; sample: 1362018Feb 2018: 21.9%; sample: 128Mar 2018: 16.1%; sample: 161Apr 2018: 24.4%; sample: 156May 2018: 13.0%; sample: 162Jun 2018: 19.2%; sample: 156Jul 2018: 15.6%; sample: 167Aug 2018: 18.1%; sample: 166Sep 2018: 20.0%; sample: 155Oct 2018: 17.0%; sample: 153Nov 2018: 19.1%; sample: 136Dec 2018: 25.4%; sample: 122Jan 2019: 20.7%; sample: 1352019Feb 2019: 13.1%; sample: 122Mar 2019: 21.7%; sample: 138Apr 2019: 16.9%; sample: 154May 2019: 9.8%; sample: 153Jun 2019: 16.9%; sample: 148Jul 2019: 20.9%; sample: 158Aug 2019: 15.0%; sample: 153Sep 2019: 21.4%; sample: 145Oct 2019: 12.6%; sample: 159Nov 2019: 3.0%; sample: 132Dec 2019: 4.8%; sample: 126Jan 2020: 9.0%; sample: 1222020Feb 2020: 5.7%; sample: 123Mar 2020: suppressed: fewer than twenty movements×Apr 2020: 0.0%; sample: 26May 2020: 0.0%; sample: 26Jun 2020: 15.4%; sample: 26Jul 2020: 0.0%; sample: 27Aug 2020: 0.0%; sample: 30Sep 2020: 14.3%; sample: 42Oct 2020: 9.4%; sample: 32Nov 2020: 0.0%; sample: 26Dec 2020: 8.0%; sample: 25Jan 2021: 4.0%; sample: 252021Feb 2021: 19.2%; sample: 26Mar 2021: 4.2%; sample: 24Apr 2021: 9.4%; sample: 32May 2021: 28.0%; sample: 50Jun 2021: 10.0%; sample: 40Jul 2021: 19.4%; sample: 36Aug 2021: 7.7%; sample: 52Sep 2021: 14.3%; sample: 70Oct 2021: 6.1%; sample: 66Nov 2021: 26.2%; sample: 61Dec 2021: 27.1%; sample: 48Jan 2022: 3.3%; sample: 302022Feb 2022: 26.8%; sample: 41Mar 2022: 16.9%; sample: 59Apr 2022: 34.0%; sample: 53May 2022: 50.9%; sample: 57Jun 2022: 32.3%; sample: 65Jul 2022: 29.5%; sample: 78Aug 2022: 46.3%; sample: 82Sep 2022: 41.4%; sample: 70Oct 2022: 40.8%; sample: 76Nov 2022: 55.0%; sample: 80Dec 2022: 57.1%; sample: 70Jan 2023: 31.0%; sample: 712023Feb 2023: 31.1%; sample: 61Mar 2023: 34.8%; sample: 69Apr 2023: 25.0%; sample: 80May 2023: 31.1%; sample: 90Jun 2023: 33.0%; sample: 88Jul 2023: 42.9%; sample: 77Aug 2023: 35.3%; sample: 68Sep 2023: 28.2%; sample: 78Oct 2023: 23.5%; sample: 81Nov 2023: 30.6%; sample: 85Dec 2023: 48.6%; sample: 72Jan 2024: 31.3%; sample: 672024Feb 2024: 31.5%; sample: 73Mar 2024: 16.9%; sample: 71Apr 2024: 19.8%; sample: 81May 2024: 17.3%; sample: 81Jun 2024: 12.2%; sample: 74Jul 2024: 11.4%; sample: 79Aug 2024: 10.4%; sample: 77Sep 2024: 21.4%; sample: 70Oct 2024: 20.8%; sample: 77Nov 2024: 20.3%; sample: 59Dec 2024: 26.9%; sample: 52Jan 2025: 28.8%; sample: 592025Feb 2025: 17.5%; sample: 57Mar 2025: 12.7%; sample: 63Apr 2025: 11.8%; sample: 85May 2025: 3.6%; sample: 84Jun 2025: 16.7%; sample: 84Jul 2025: 30.4%; sample: 92Aug 2025: 31.5%; sample: 73Sep 2025: 36.6%; sample: 82Oct 2025: 37.9%; sample: 66Nov 2025: 54.5%; sample: 33Dec 2025: 38.7%; sample: 31Jan 2026: 32.7%; sample: 552026Feb 2026: 23.5%; sample: 51Mar 2026: 21.5%; sample: 65Apr 2026: 27.0%; sample: 63May 2026: 12.9%; sample: 62Jun 2026: 29.9%; sample: 67Pandemic 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 20187.4% of 136 movements
Feb 201821.9% of 128 movements
Mar 201816.1% of 161 movements
Apr 201824.4% of 156 movements
May 201813.0% of 162 movements
Jun 201819.2% of 156 movements
Jul 201815.6% of 167 movements
Aug 201818.1% of 166 movements
Sep 201820.0% of 155 movements
Oct 201817.0% of 153 movements
Nov 201819.1% of 136 movements
Dec 201825.4% of 122 movements
Jan 201920.7% of 135 movements
Feb 201913.1% of 122 movements
Mar 201921.7% of 138 movements
Apr 201916.9% of 154 movements
May 20199.8% of 153 movements
Jun 201916.9% of 148 movements
Jul 201920.9% of 158 movements
Aug 201915.0% of 153 movements
Sep 201921.4% of 145 movements
Oct 201912.6% of 159 movements
Nov 20193.0% of 132 movements
Dec 20194.8% of 126 movements
Jan 20209.0% of 122 movements
Feb 20205.7% of 123 movements
Mar 2020suppressed: fewer than twenty movements
Apr 2020no events in 26 movements — small sample, not ranked
May 2020no events in 26 movements — small sample, not ranked
Jun 202015.4% of 26 movements — small sample, not ranked
Jul 2020no events in 27 movements — small sample, not ranked
Aug 2020no events in 30 movements — small sample, not ranked
Sep 202014.3% of 42 movements — small sample, not ranked
Oct 20209.4% of 32 movements — small sample, not ranked
Nov 2020no events in 26 movements — small sample, not ranked
Dec 20208.0% of 25 movements — small sample, not ranked
Jan 20214.0% of 25 movements — small sample, not ranked
Feb 202119.2% of 26 movements — small sample, not ranked
Mar 20214.2% of 24 movements — small sample, not ranked
Apr 20219.4% of 32 movements — small sample, not ranked
May 202128.0% of 50 movements
Jun 202110.0% of 40 movements — small sample, not ranked
Jul 202119.4% of 36 movements — small sample, not ranked
Aug 20217.7% of 52 movements
Sep 202114.3% of 70 movements
Oct 20216.1% of 66 movements
Nov 202126.2% of 61 movements
Dec 202127.1% of 48 movements — small sample, not ranked
Jan 20223.3% of 30 movements — small sample, not ranked
Feb 202226.8% of 41 movements — small sample, not ranked
Mar 202216.9% of 59 movements
Apr 202234.0% of 53 movements
May 202250.9% of 57 movements
Jun 202232.3% of 65 movements
Jul 202229.5% of 78 movements
Aug 202246.3% of 82 movements
Sep 202241.4% of 70 movements
Oct 202240.8% of 76 movements
Nov 202255.0% of 80 movements
Dec 202257.1% of 70 movements
Jan 202331.0% of 71 movements
Feb 202331.1% of 61 movements
Mar 202334.8% of 69 movements
Apr 202325.0% of 80 movements
May 202331.1% of 90 movements
Jun 202333.0% of 88 movements
Jul 202342.9% of 77 movements
Aug 202335.3% of 68 movements
Sep 202328.2% of 78 movements
Oct 202323.5% of 81 movements
Nov 202330.6% of 85 movements
Dec 202348.6% of 72 movements
Jan 202431.3% of 67 movements
Feb 202431.5% of 73 movements
Mar 202416.9% of 71 movements
Apr 202419.8% of 81 movements
May 202417.3% of 81 movements
Jun 202412.2% of 74 movements
Jul 202411.4% of 79 movements
Aug 202410.4% of 77 movements
Sep 202421.4% of 70 movements
Oct 202420.8% of 77 movements
Nov 202420.3% of 59 movements
Dec 202426.9% of 52 movements
Jan 202528.8% of 59 movements
Feb 202517.5% of 57 movements
Mar 202512.7% of 63 movements
Apr 202511.8% of 85 movements
May 20253.6% of 84 movements
Jun 202516.7% of 84 movements
Jul 202530.4% of 92 movements
Aug 202531.5% of 73 movements
Sep 202536.6% of 82 movements
Oct 202537.9% of 66 movements
Nov 202554.5% of 33 movements — small sample, not ranked
Dec 202538.7% of 31 movements — small sample, not ranked
Jan 202632.7% of 55 movements
Feb 202623.5% of 51 movements
Mar 202621.5% of 65 movements
Apr 202627.0% of 63 movements
May 202612.9% of 62 movements
Jun 202629.9% of 67 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 2020Arrivals15.4% of 26 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departures7.7% of 26 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals29.5% of 78 movements22.1% across 638 flightsstill above it 8 months later
Summer 2022 breakdown · Jul 2022Departures20.5% of 78 movements22.9% across 650 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals35.3% of 68 movements39.1% across 914 flightsreturned the next month
NATS system failure · Aug 2023Departures35.3% of 68 movements39.9% across 928 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals12.7% of 63 movements18.6% across 837 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures11.3% of 62 movements14.7% across 824 flightsreturned the next month
Definitions, denominators and limits

The baseline is the unweighted mean share over the twelve preceding calendar months. The return window is the following eight months, up to the end of the archive. Return means the first observed value at or below the baseline; it is not the duration of the disruption itself. If the event month is already below the baseline, counting still starts the month after. Gaps and suppressed cells are not treated as zeros or as recovery.

Which time of year has historically been hardest?

December has historically been the hardest month on this route: in a typical December, 32.8% of arrivals were disrupted, measured across 6 Decembers in the archive. May has been the calmest, at 13.0% across 7 Mays.

Even December has ranged from 4.8% to 57.1% in different years, so this is a record of what happened, not a forecast of what will. Lower is better throughout.

Each cell is one calendar month of one year; the number is the share of that month’s arrivals that were disrupted. Darker means worse. A blank cell means no published data, not zero.

Seasonality: calendar month by year; share and nJanFebMarAprMayJunJulAugSepOctNovDec201920.7% of 135 movements13.1% of 122 movements21.7% of 138 movements16.9% of 154 movements9.8% of 153 movements16.9% of 148 movements20.9% of 158 movements15.0% of 153 movements21.4% of 145 movements12.6% of 159 movements3.0% of 132 movements4.8% of 126 movements20209.0% of 122 movements5.7% of 123 movementssuppressed: fewer than twenty movementsno events in 26 movements †no events in 26 movements †15.4% of 26 movements †no events in 27 movements †no events in 30 movements †14.3% of 42 movements †9.4% of 32 movements †no events in 26 movements †8.0% of 25 movements †20214.0% of 25 movements †19.2% of 26 movements †4.2% of 24 movements †9.4% of 32 movements †28.0% of 50 movements10.0% of 40 movements †19.4% of 36 movements †7.7% of 52 movements14.3% of 70 movements6.1% of 66 movements26.2% of 61 movements27.1% of 48 movements †20223.3% of 30 movements †26.8% of 41 movements †16.9% of 59 movements34.0% of 53 movements50.9% of 57 movements32.3% of 65 movements29.5% of 78 movements46.3% of 82 movements41.4% of 70 movements40.8% of 76 movements55.0% of 80 movements57.1% of 70 movements202331.0% of 71 movements31.1% of 61 movements34.8% of 69 movements25.0% of 80 movements31.1% of 90 movements33.0% of 88 movements42.9% of 77 movements35.3% of 68 movements28.2% of 78 movements23.5% of 81 movements30.6% of 85 movements48.6% of 72 movements202431.3% of 67 movements31.5% of 73 movements16.9% of 71 movements19.8% of 81 movements17.3% of 81 movements12.2% of 74 movements11.4% of 79 movements10.4% of 77 movements21.4% of 70 movements20.8% of 77 movements20.3% of 59 movements26.9% of 52 movements202528.8% of 59 movements17.5% of 57 movements12.7% of 63 movements11.8% of 85 movements3.6% of 84 movements16.7% of 84 movements30.4% of 92 movements31.5% of 73 movements36.6% of 82 movements37.9% of 66 movements54.5% of 33 movements †38.7% of 31 movements †202632.7% of 55 movements23.5% of 51 movements21.5% of 65 movements27.0% of 63 movements12.9% of 62 movements29.9% of 67 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan28.8%3.3–32.7%7 months, 553 flights
Feb23.5%13.1–31.5%7 months, 533 flights
Mar16.9%12.7–34.8%7 months, 626 flights
Apr24.4%11.8–34.0%7 months, 672 flights
May13.0%3.6–50.9%7 months, 689 flights
Jun19.2%12.2–33.0%7 months, 682 flights
Jul25.2%11.4–42.9%6 months, 651 flights
Aug24.8%10.4–46.3%6 months, 619 flights
Sep24.8%20.0–41.4%6 months, 600 flights
Oct22.1%12.6–40.8%6 months, 612 flights
Nov25.5%3.0–55.0%6 months, 525 flights
Dec32.8%4.8–57.1%6 months, 473 flights
Definitions, denominators and limits

The matrix shows the last eight calendar years, including an incomplete final year; the start of the archive is kept in the history above. Seasonal summaries use the whole available archive, excluding the pandemic regime 2020–2021; this is an observed range, not a forecast. Zero events, missing data and suppressed cells are marked separately. † marks a small sample, described but not ranked. For ranges the colour follows the upper bound.

Which airline has the better record here?

Only one carrier published enough flights here to report: Loganair Ltd, 30.4% of 739 movements disrupted.

Figures cover arrivals, July 2025 to June 2026; lower is better in every column. Carriers with fewer than twenty published flights are suppressed rather than shown as zero. The page makes no ranking: the operations behind these shares are not matched for aircraft, time of day or season.

Observed disruption share by optionLoganair30.4% of 739 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Aero4Msuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
British Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Eastern Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Uksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Flybesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Loganair73930.4% of 739 movements2.7% of 739 movements1.1% of 739 movementsdescriptive comparison
Sun Air Jetssuppressed: 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, IOM had the lowest disruption share at 26.6% of 891 movements and JER the highest at 42.8% of 269 movements. This route sits at 30.4% of 740 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 ↔ Manchester27.1% of 1,984 flightsBhd ↔ Manchester29.9% of 1,621 flightsExt ↔ Manchester28.9% of 180 flightsIom ↔ Manchester26.6% of 891 flightsJer ↔ Manchester42.8% of 269 flightsLhr ↔ Manchester32.5% of 2,567 flightsSou ↔ Manchester33.8% of 293 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Manchester1,98427.1% of 1,984 movements0.6% of 1,984 movements0.5% of 1,984 movementsdescriptive comparison
Bhd ↔ Manchester1,62129.9% of 1,621 movements2.3% of 1,621 movements1.1% of 1,621 movementsdescriptive comparison
Bhx ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Boh ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Cwl ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ema ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Manchester18028.9% of 180 movements1.7% of 180 movementsno events in 180 movementsdescriptive comparison
Gla ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Iom ↔ Manchester89126.6% of 891 movements2.2% of 891 movements1.1% of 891 movementsdescriptive comparison
Jer ↔ Manchester26942.8% of 269 movements1.5% of 269 movements1.5% of 269 movementsdescriptive comparison
Lba ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lcy ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lhr ↔ Manchester2,56732.5% of 2,567 movements0.7% of 2,567 movements0.2% of 2,567 movementsdescriptive comparison
Lpl ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Mme ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sen ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sou ↔ Manchester29333.8% of 293 movements1.0% of 293 movements0.7% of 293 movementsdescriptive comparison
Stn ↔ Manchestersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

Does the direction you are flying change anything?

Yes: arrivals into ABZ ran 30.4% of 740 movements disrupted, departures 19.4% of 685 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 ABZ30.4% of 740 movements2.7% of 740 movements1.1% of 740 movements
Departures from ABZ19.4% of 685 movements1.8% of 685 movements0.6% of 685 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 202657 flights out of 8,27057 × £220 = £12,540
ArrivalsLast 72 months · Jul 2020–Jun 202645 flights out of 4,42645 × £220 = £9,900
DeparturesWhole archive · Jan 2018–Jun 202638 flights out of 8,17638 × £220 = £8,360
DeparturesLast 72 months · Jul 2020–Jun 202631 flights out of 4,33931 × £220 = £6,820
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 / countryMANCHESTER / UNITED KINGDOM
Final point codesMAN / EGCC
Great-circle distance428 km
Maximum statutory amount for the band£220
Average operated arrivals per day1.97
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 archive101

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: 740; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

30.4% of 740 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 740 movements in the same window.

How many delays crossed three hours?

1.1% of 740 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?

428 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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