UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

ABZ ↔ KIRKWALL

In the twelve months from July 2025 to June 2026, 16.7% of 801 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, 83.3% of 801 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 801 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, 16.7% of 801 movements were disrupted and 4.6% of 801 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
16.7% of 801 movements4.6% of 801 movements21.9–58.7 min; N of delayed flights=97–225801
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: 4.6% of 801 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 min12.1%30 min6.5%60 min3.0%120 min0.5%180 min0.1%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min12.1% of 801 movements978.3
>30 min6.5% of 801 movements5215.4
>60 min3.0% of 801 movements2433.4
>120 min0.5% of 801 movements4200.2
>180 min0.1% of 801 movements1801.0
>360 minno events in 801 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 early18923.6%15–1 early35043.7%0–15 late12816.0%16–30455.6%31–60283.5%61…120202.5%121…18030.4%181…36010.1%>36000.0%D=801
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0137; 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 2026, 4.5% of 66 movements. Worst month: Jan 2024, 63.6% of 55 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: 30.3%; sample: 1422018Feb 2018: 25.5%; sample: 137Mar 2018: 30.9%; sample: 97Apr 2018: 8.7%; sample: 92May 2018: 13.1%; sample: 99Jun 2018: 17.5%; sample: 97Jul 2018: 8.4%; sample: 95Aug 2018: 5.1%; sample: 98Sep 2018: 14.3%; sample: 84Oct 2018: 7.8%; sample: 90Nov 2018: 18.8%; sample: 85Dec 2018: 20.0%; sample: 75Jan 2019: 22.5%; sample: 712019Feb 2019: 14.5%; sample: 76Mar 2019: 12.0%; sample: 83Apr 2019: 12.9%; sample: 93May 2019: 12.8%; sample: 86Jun 2019: 13.3%; sample: 83Jul 2019: 25.8%; sample: 89Aug 2019: 9.3%; sample: 86Sep 2019: 25.3%; sample: 87Oct 2019: 13.6%; sample: 88Nov 2019: 7.4%; sample: 81Dec 2019: 16.2%; sample: 74Jan 2020: 12.5%; sample: 802020Feb 2020: 16.7%; sample: 78Mar 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: 8.3%; sample: 48Aug 2020: 22.9%; sample: 48Sep 2020: 11.8%; sample: 51Oct 2020: 8.2%; sample: 49Nov 2020: 11.5%; sample: 52Dec 2020: 15.2%; sample: 46Jan 2021: 17.2%; sample: 292021Feb 2021: 29.2%; sample: 24Mar 2021: 37.1%; sample: 35Apr 2021: 33.3%; sample: 24May 2021: 14.8%; sample: 61Jun 2021: 20.3%; sample: 69Jul 2021: 15.9%; sample: 69Aug 2021: 19.7%; sample: 76Sep 2021: 7.8%; sample: 77Oct 2021: 6.4%; sample: 78Nov 2021: 14.3%; sample: 77Dec 2021: 12.9%; sample: 70Jan 2022: 16.0%; sample: 502022Feb 2022: 21.3%; sample: 61Mar 2022: 17.5%; sample: 80Apr 2022: 22.8%; sample: 79May 2022: 15.9%; sample: 82Jun 2022: 14.8%; sample: 81Jul 2022: 17.1%; sample: 82Aug 2022: 12.9%; sample: 85Sep 2022: 19.2%; sample: 78Oct 2022: 20.0%; sample: 75Nov 2022: 13.9%; sample: 79Dec 2022: 40.3%; sample: 72Jan 2023: 31.3%; sample: 672023Feb 2023: 18.8%; sample: 64Mar 2023: 27.3%; sample: 77Apr 2023: 13.2%; sample: 76May 2023: 25.0%; sample: 80Jun 2023: 30.8%; sample: 78Jul 2023: 19.2%; sample: 78Aug 2023: 18.5%; sample: 81Sep 2023: 27.3%; sample: 77Oct 2023: 29.1%; sample: 79Nov 2023: 20.5%; sample: 78Dec 2023: 39.4%; sample: 66Jan 2024: 63.6%; sample: 552024Feb 2024: 50.0%; sample: 24Mar 2024: 48.6%; sample: 35Apr 2024: 11.5%; sample: 52May 2024: 21.5%; sample: 65Jun 2024: 21.4%; sample: 70Jul 2024: 19.5%; sample: 77Aug 2024: 6.7%; sample: 75Sep 2024: 19.2%; sample: 73Oct 2024: 15.6%; sample: 77Nov 2024: 11.0%; sample: 73Dec 2024: 29.7%; sample: 64Jan 2025: 30.6%; sample: 622025Feb 2025: 8.8%; sample: 68Mar 2025: 8.2%; sample: 73Apr 2025: 6.1%; sample: 66May 2025: 6.8%; sample: 73Jun 2025: 21.1%; sample: 71Jul 2025: 13.0%; sample: 77Aug 2025: 28.6%; sample: 70Sep 2025: 11.4%; sample: 70Oct 2025: 18.2%; sample: 77Nov 2025: 24.6%; sample: 69Dec 2025: 17.4%; sample: 69Jan 2026: 41.7%; sample: 482026Feb 2026: 9.8%; sample: 51Mar 2026: 4.5%; sample: 66Apr 2026: 6.9%; sample: 72May 2026: 17.7%; sample: 62Jun 2026: 12.9%; sample: 70Pandemic 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 201830.3% of 142 movements
Feb 201825.5% of 137 movements
Mar 201830.9% of 97 movements
Apr 20188.7% of 92 movements
May 201813.1% of 99 movements
Jun 201817.5% of 97 movements
Jul 20188.4% of 95 movements
Aug 20185.1% of 98 movements
Sep 201814.3% of 84 movements
Oct 20187.8% of 90 movements
Nov 201818.8% of 85 movements
Dec 201820.0% of 75 movements
Jan 201922.5% of 71 movements
Feb 201914.5% of 76 movements
Mar 201912.0% of 83 movements
Apr 201912.9% of 93 movements
May 201912.8% of 86 movements
Jun 201913.3% of 83 movements
Jul 201925.8% of 89 movements
Aug 20199.3% of 86 movements
Sep 201925.3% of 87 movements
Oct 201913.6% of 88 movements
Nov 20197.4% of 81 movements
Dec 201916.2% of 74 movements
Jan 202012.5% of 80 movements
Feb 202016.7% of 78 movements
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 20208.3% of 48 movements — small sample, not ranked
Aug 202022.9% of 48 movements — small sample, not ranked
Sep 202011.8% of 51 movements
Oct 20208.2% of 49 movements — small sample, not ranked
Nov 202011.5% of 52 movements
Dec 202015.2% of 46 movements — small sample, not ranked
Jan 202117.2% of 29 movements — small sample, not ranked
Feb 202129.2% of 24 movements — small sample, not ranked
Mar 202137.1% of 35 movements — small sample, not ranked
Apr 202133.3% of 24 movements — small sample, not ranked
May 202114.8% of 61 movements
Jun 202120.3% of 69 movements
Jul 202115.9% of 69 movements
Aug 202119.7% of 76 movements
Sep 20217.8% of 77 movements
Oct 20216.4% of 78 movements
Nov 202114.3% of 77 movements
Dec 202112.9% of 70 movements
Jan 202216.0% of 50 movements
Feb 202221.3% of 61 movements
Mar 202217.5% of 80 movements
Apr 202222.8% of 79 movements
May 202215.9% of 82 movements
Jun 202214.8% of 81 movements
Jul 202217.1% of 82 movements
Aug 202212.9% of 85 movements
Sep 202219.2% of 78 movements
Oct 202220.0% of 75 movements
Nov 202213.9% of 79 movements
Dec 202240.3% of 72 movements
Jan 202331.3% of 67 movements
Feb 202318.8% of 64 movements
Mar 202327.3% of 77 movements
Apr 202313.2% of 76 movements
May 202325.0% of 80 movements
Jun 202330.8% of 78 movements
Jul 202319.2% of 78 movements
Aug 202318.5% of 81 movements
Sep 202327.3% of 77 movements
Oct 202329.1% of 79 movements
Nov 202320.5% of 78 movements
Dec 202339.4% of 66 movements
Jan 202463.6% of 55 movements
Feb 202450.0% of 24 movements — small sample, not ranked
Mar 202448.6% of 35 movements — small sample, not ranked
Apr 202411.5% of 52 movements
May 202421.5% of 65 movements
Jun 202421.4% of 70 movements
Jul 202419.5% of 77 movements
Aug 20246.7% of 75 movements
Sep 202419.2% of 73 movements
Oct 202415.6% of 77 movements
Nov 202411.0% of 73 movements
Dec 202429.7% of 64 movements
Jan 202530.6% of 62 movements
Feb 20258.8% of 68 movements
Mar 20258.2% of 73 movements
Apr 20256.1% of 66 movements
May 20256.8% of 73 movements
Jun 202521.1% of 71 movements
Jul 202513.0% of 77 movements
Aug 202528.6% of 70 movements
Sep 202511.4% of 70 movements
Oct 202518.2% of 77 movements
Nov 202524.6% of 69 movements
Dec 202517.4% of 69 movements
Jan 202641.7% of 48 movements — small sample, not ranked
Feb 20269.8% of 51 movements
Mar 20264.5% of 66 movements
Apr 20266.9% of 72 movements
May 202617.7% of 62 movements
Jun 202612.9% of 70 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 2020Departures47.8% of 23 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals17.1% of 82 movements15.4% across 880 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Departures31.8% of 85 movements20.9% across 888 flightsreturned the next month
NATS system failure · Aug 2023Arrivals18.5% of 81 movements22.7% across 909 flightsreturned after 3 months
NATS system failure · Aug 2023Departures21.0% of 81 movements27.6% across 909 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals8.2% of 73 movements20.3% across 791 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures9.6% of 73 movements22.5% across 778 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?

January has historically been the hardest month on this route: in a typical January, 30.6% of arrivals were disrupted, measured across 7 Januarys in the archive. August has been the calmest, at 11.1% across 6 Augusts.

Even January has ranged from 16.0% to 63.6% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201922.5% of 71 movements14.5% of 76 movements12.0% of 83 movements12.9% of 93 movements12.8% of 86 movements13.3% of 83 movements25.8% of 89 movements9.3% of 86 movements25.3% of 87 movements13.6% of 88 movements7.4% of 81 movements16.2% of 74 movements202012.5% of 80 movements16.7% of 78 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements8.3% of 48 movements †22.9% of 48 movements †11.8% of 51 movements8.2% of 49 movements †11.5% of 52 movements15.2% of 46 movements †202117.2% of 29 movements †29.2% of 24 movements †37.1% of 35 movements †33.3% of 24 movements †14.8% of 61 movements20.3% of 69 movements15.9% of 69 movements19.7% of 76 movements7.8% of 77 movements6.4% of 78 movements14.3% of 77 movements12.9% of 70 movements202216.0% of 50 movements21.3% of 61 movements17.5% of 80 movements22.8% of 79 movements15.9% of 82 movements14.8% of 81 movements17.1% of 82 movements12.9% of 85 movements19.2% of 78 movements20.0% of 75 movements13.9% of 79 movements40.3% of 72 movements202331.3% of 67 movements18.8% of 64 movements27.3% of 77 movements13.2% of 76 movements25.0% of 80 movements30.8% of 78 movements19.2% of 78 movements18.5% of 81 movements27.3% of 77 movements29.1% of 79 movements20.5% of 78 movements39.4% of 66 movements202463.6% of 55 movements50.0% of 24 movements †48.6% of 35 movements †11.5% of 52 movements21.5% of 65 movements21.4% of 70 movements19.5% of 77 movements6.7% of 75 movements19.2% of 73 movements15.6% of 77 movements11.0% of 73 movements29.7% of 64 movements202530.6% of 62 movements8.8% of 68 movements8.2% of 73 movements6.1% of 66 movements6.8% of 73 movements21.1% of 71 movements13.0% of 77 movements28.6% of 70 movements11.4% of 70 movements18.2% of 77 movements24.6% of 69 movements17.4% of 69 movements202641.7% of 48 movements †9.8% of 51 movements4.5% of 66 movements6.9% of 72 movements17.7% of 62 movements12.9% of 70 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan30.6%16.0–63.6%7 months, 495 flights
Feb18.8%8.8–50.0%7 months, 481 flights
Mar17.5%4.5–48.6%7 months, 511 flights
Apr11.5%6.1–22.8%7 months, 530 flights
May15.9%6.8–25.0%7 months, 547 flights
Jun17.5%12.9–30.8%7 months, 550 flights
Jul18.2%8.4–25.8%6 months, 498 flights
Aug11.1%5.1–28.6%6 months, 495 flights
Sep19.2%11.4–27.3%6 months, 469 flights
Oct16.9%7.8–29.1%6 months, 486 flights
Nov16.4%7.4–24.6%6 months, 465 flights
Dec24.8%16.2–40.3%6 months, 420 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, 16.7% of 801 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 optionLoganair16.7% of 801 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Eastern Airwayssuppressed: 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
Loganair80116.7% of 801 movements4.6% of 801 movements0.1% of 801 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, LHR had the lowest disruption share at 13.3% of 60 movements and EDI the highest at 24.1% of 598 movements. This route sits at 16.7% of 801 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 optionBhd ↔ Kirkwall †19.0% of 21 flightsEdi ↔ Kirkwall24.1% of 598 flightsGla ↔ Kirkwall16.3% of 435 flightsLhr ↔ Kirkwall13.3% of 60 flightsMan ↔ Kirkwall †22.9% of 35 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bhd ↔ Kirkwall2119.0% of 21 movements — small sample, not rankedno events in 21 movements — small sample, not rankedno events in 21 movements — small sample, not rankedsmall sample; not ranked
Boh ↔ Kirkwallsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Kirkwall59824.1% of 598 movements3.7% of 598 movements0.7% of 598 movementsdescriptive comparison
Gla ↔ Kirkwall43516.3% of 435 movements3.0% of 435 movements0.5% of 435 movementsdescriptive comparison
Iom ↔ Kirkwallsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lcy ↔ Kirkwallsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lhr ↔ Kirkwall6013.3% of 60 movements3.3% of 60 movementsno events in 60 movementsdescriptive comparison
Man ↔ Kirkwall3522.9% of 35 movements — small sample, not ranked2.9% of 35 movements — small sample, not rankedno events in 35 movements — small sample, not rankedsmall sample; not ranked

Does the direction you are flying change anything?

Barely: arrivals into ABZ ran 16.7% of 801 movements disrupted, departures 18.3% of 818 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 ABZ16.7% of 801 movements4.6% of 801 movements0.1% of 801 movements
Departures from ABZ18.3% of 818 movements4.2% of 818 movements0.4% of 818 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 202653 flights out of 7,12453 × £220 = £11,660
ArrivalsLast 72 months · Jul 2020–Jun 202637 flights out of 4,74237 × £220 = £8,140
DeparturesWhole archive · Jan 2018–Jun 202642 flights out of 7,15742 × £220 = £9,240
DeparturesLast 72 months · Jul 2020–Jun 202631 flights out of 4,72931 × £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 / countryKIRKWALL / UNITED KINGDOM
Final point codesKOI / EGPA
Great-circle distance200 km
Maximum statutory amount for the band£220
Average operated arrivals per day2.09
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: 801; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

16.7% of 801 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

4.6% of 801 movements in the same window.

How many delays crossed three hours?

0.1% of 801 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?

200 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

Was your flight delayed 3h+? Check what you may be owed

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