UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

ABZ ↔ SUMBURGH

In the twelve months from July 2025 to June 2026, 31.5% of 1,587 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, 68.5% of 1,587 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 41 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, 31.5% of 1,587 movements were disrupted and 4.4% of 1,587 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
31.5% of 1,587 movements4.4% of 1,587 movements45.8–82.4 min; N of delayed flights=430–7411,587
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: 4.4% of 1,587 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 min27.1%30 min17.8%60 min10.0%120 min4.5%180 min2.5%360 min0.5%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min27.1% of 1,587 movements4303.7
>30 min17.8% of 1,587 movements2825.6
>60 min10.0% of 1,587 movements15910.0
>120 min4.5% of 1,587 movements7122.4
>180 min2.5% of 1,587 movements3940.7
>360 min0.5% of 1,587 movements8198.4
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 early35922.6%15–1 early41726.3%0–15 late31119.6%16–301489.3%31–601237.8%61…120885.5%121…180322.0%181…360312.0%>36080.5%D=1,587
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.1439; 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 2019, 6.5% of 124 movements. Worst month: Jan 2024, 69.1% of 68 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: 45.0%; sample: 2402018Feb 2018: 37.4%; sample: 203Mar 2018: 34.3%; sample: 216Apr 2018: 22.6%; sample: 190May 2018: 25.6%; sample: 211Jun 2018: 32.5%; sample: 194Jul 2018: 30.9%; sample: 207Aug 2018: 38.6%; sample: 207Sep 2018: 24.9%; sample: 193Oct 2018: 44.3%; sample: 228Nov 2018: 16.2%; sample: 111Dec 2018: 31.8%; sample: 198Jan 2019: 36.9%; sample: 2222019Feb 2019: 22.6%; sample: 124Mar 2019: 10.9%; sample: 110Apr 2019: 18.8%; sample: 165May 2019: 6.5%; sample: 124Jun 2019: 28.0%; sample: 118Jul 2019: 37.1%; sample: 132Aug 2019: 22.1%; sample: 131Sep 2019: 21.5%; sample: 130Oct 2019: 14.5%; sample: 131Nov 2019: 8.4%; sample: 107Dec 2019: 17.6%; sample: 102Jan 2020: 13.3%; sample: 1052020Feb 2020: 18.6%; sample: 102Mar 2020: suppressed: fewer than twenty movements×Apr 2020: 44.0%; sample: 25May 2020: 9.5%; sample: 21Jun 2020: 51.5%; sample: 33Jul 2020: 11.3%; sample: 53Aug 2020: 32.7%; sample: 55Sep 2020: 12.3%; sample: 57Oct 2020: 12.1%; sample: 66Nov 2020: 23.2%; sample: 56Dec 2020: 17.6%; sample: 51Jan 2021: 31.0%; sample: 422021Feb 2021: 27.3%; sample: 44Mar 2021: 28.6%; sample: 56Apr 2021: 31.7%; sample: 60May 2021: 32.3%; sample: 65Jun 2021: 21.7%; sample: 69Jul 2021: 33.3%; sample: 87Aug 2021: 31.1%; sample: 90Sep 2021: 34.1%; sample: 88Oct 2021: 37.6%; sample: 93Nov 2021: 43.5%; sample: 85Dec 2021: 50.5%; sample: 93Jan 2022: 33.9%; sample: 592022Feb 2022: 47.6%; sample: 63Mar 2022: 42.3%; sample: 78Apr 2022: 44.7%; sample: 85May 2022: 40.9%; sample: 88Jun 2022: 63.6%; sample: 88Jul 2022: 53.3%; sample: 90Aug 2022: 46.7%; sample: 92Sep 2022: 28.8%; sample: 59Oct 2022: 48.3%; sample: 87Nov 2022: 38.0%; sample: 79Dec 2022: 55.2%; sample: 67Jan 2023: 36.5%; sample: 632023Feb 2023: 58.1%; sample: 62Mar 2023: 62.2%; sample: 82Apr 2023: 30.3%; sample: 89May 2023: 44.2%; sample: 95Jun 2023: 59.3%; sample: 91Jul 2023: 61.5%; sample: 96Aug 2023: 44.4%; sample: 90Sep 2023: 39.5%; sample: 86Oct 2023: 40.9%; sample: 88Nov 2023: 33.3%; sample: 78Dec 2023: 44.2%; sample: 77Jan 2024: 69.1%; sample: 682024Feb 2024: 50.0%; sample: 54Mar 2024: 28.8%; sample: 52Apr 2024: 34.5%; sample: 87May 2024: 44.8%; sample: 87Jun 2024: 31.0%; sample: 84Jul 2024: 20.0%; sample: 90Aug 2024: 19.3%; sample: 88Sep 2024: 29.9%; sample: 87Oct 2024: 11.4%; sample: 88Nov 2024: 24.7%; sample: 77Dec 2024: 17.8%; sample: 73Jan 2025: 40.6%; sample: 692025Feb 2025: 20.3%; sample: 74Mar 2025: 11.2%; sample: 80Apr 2025: 11.5%; sample: 87May 2025: 10.6%; sample: 85Jun 2025: 15.1%; sample: 86Jul 2025: 34.4%; sample: 96Aug 2025: 10.5%; sample: 86Sep 2025: 12.0%; sample: 83Oct 2025: 28.2%; sample: 85Nov 2025: 51.9%; sample: 81Dec 2025: 22.2%; sample: 72Jan 2026: 47.9%; sample: 1422026Feb 2026: 34.1%; sample: 176Mar 2026: 29.4%; sample: 194Apr 2026: 29.4%; sample: 204May 2026: 26.3%; sample: 179Jun 2026: 39.2%; sample: 189Pandemic 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 201845.0% of 240 movements
Feb 201837.4% of 203 movements
Mar 201834.3% of 216 movements
Apr 201822.6% of 190 movements
May 201825.6% of 211 movements
Jun 201832.5% of 194 movements
Jul 201830.9% of 207 movements
Aug 201838.6% of 207 movements
Sep 201824.9% of 193 movements
Oct 201844.3% of 228 movements
Nov 201816.2% of 111 movements
Dec 201831.8% of 198 movements
Jan 201936.9% of 222 movements
Feb 201922.6% of 124 movements
Mar 201910.9% of 110 movements
Apr 201918.8% of 165 movements
May 20196.5% of 124 movements
Jun 201928.0% of 118 movements
Jul 201937.1% of 132 movements
Aug 201922.1% of 131 movements
Sep 201921.5% of 130 movements
Oct 201914.5% of 131 movements
Nov 20198.4% of 107 movements
Dec 201917.6% of 102 movements
Jan 202013.3% of 105 movements
Feb 202018.6% of 102 movements
Mar 2020suppressed: fewer than twenty movements
Apr 202044.0% of 25 movements — small sample, not ranked
May 20209.5% of 21 movements — small sample, not ranked
Jun 202051.5% of 33 movements — small sample, not ranked
Jul 202011.3% of 53 movements
Aug 202032.7% of 55 movements
Sep 202012.3% of 57 movements
Oct 202012.1% of 66 movements
Nov 202023.2% of 56 movements
Dec 202017.6% of 51 movements
Jan 202131.0% of 42 movements — small sample, not ranked
Feb 202127.3% of 44 movements — small sample, not ranked
Mar 202128.6% of 56 movements
Apr 202131.7% of 60 movements
May 202132.3% of 65 movements
Jun 202121.7% of 69 movements
Jul 202133.3% of 87 movements
Aug 202131.1% of 90 movements
Sep 202134.1% of 88 movements
Oct 202137.6% of 93 movements
Nov 202143.5% of 85 movements
Dec 202150.5% of 93 movements
Jan 202233.9% of 59 movements
Feb 202247.6% of 63 movements
Mar 202242.3% of 78 movements
Apr 202244.7% of 85 movements
May 202240.9% of 88 movements
Jun 202263.6% of 88 movements
Jul 202253.3% of 90 movements
Aug 202246.7% of 92 movements
Sep 202228.8% of 59 movements
Oct 202248.3% of 87 movements
Nov 202238.0% of 79 movements
Dec 202255.2% of 67 movements
Jan 202336.5% of 63 movements
Feb 202358.1% of 62 movements
Mar 202362.2% of 82 movements
Apr 202330.3% of 89 movements
May 202344.2% of 95 movements
Jun 202359.3% of 91 movements
Jul 202361.5% of 96 movements
Aug 202344.4% of 90 movements
Sep 202339.5% of 86 movements
Oct 202340.9% of 88 movements
Nov 202333.3% of 78 movements
Dec 202344.2% of 77 movements
Jan 202469.1% of 68 movements
Feb 202450.0% of 54 movements
Mar 202428.8% of 52 movements
Apr 202434.5% of 87 movements
May 202444.8% of 87 movements
Jun 202431.0% of 84 movements
Jul 202420.0% of 90 movements
Aug 202419.3% of 88 movements
Sep 202429.9% of 87 movements
Oct 202411.4% of 88 movements
Nov 202424.7% of 77 movements
Dec 202417.8% of 73 movements
Jan 202540.6% of 69 movements
Feb 202520.3% of 74 movements
Mar 202511.2% of 80 movements
Apr 202511.5% of 87 movements
May 202510.6% of 85 movements
Jun 202515.1% of 86 movements
Jul 202534.4% of 96 movements
Aug 202510.5% of 86 movements
Sep 202512.0% of 83 movements
Oct 202528.2% of 85 movements
Nov 202551.9% of 81 movements
Dec 202522.2% of 72 movements
Jan 202647.9% of 142 movements
Feb 202634.1% of 176 movements
Mar 202629.4% of 194 movements
Apr 202629.4% of 204 movements
May 202626.3% of 179 movements
Jun 202639.2% of 189 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 2020Arrivals51.5% of 33 movements — small sample, not rankedno 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 2022Arrivals53.3% of 90 movements41.9% across 997 flightsreturned after 2 months
Summer 2022 breakdown · Jul 2022Departures42.7% of 89 movements39.2% across 971 flightsreturned after 2 months
NATS system failure · Aug 2023Arrivals44.4% of 90 movements47.4% across 962 flightsreturned the next month
NATS system failure · Aug 2023Departures37.1% of 89 movements42.9% across 952 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals11.2% of 80 movements26.9% across 956 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures10.0% of 80 movements25.7% across 955 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, 40.6% of arrivals were disrupted, measured across 7 Januarys in the archive. May has been the calmest, at 26.3% across 7 Mays.

Even January has ranged from 33.9% to 69.1% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201936.9% of 222 movements22.6% of 124 movements10.9% of 110 movements18.8% of 165 movements6.5% of 124 movements28.0% of 118 movements37.1% of 132 movements22.1% of 131 movements21.5% of 130 movements14.5% of 131 movements8.4% of 107 movements17.6% of 102 movements202013.3% of 105 movements18.6% of 102 movementssuppressed: fewer than twenty movements44.0% of 25 movements †9.5% of 21 movements †51.5% of 33 movements †11.3% of 53 movements32.7% of 55 movements12.3% of 57 movements12.1% of 66 movements23.2% of 56 movements17.6% of 51 movements202131.0% of 42 movements †27.3% of 44 movements †28.6% of 56 movements31.7% of 60 movements32.3% of 65 movements21.7% of 69 movements33.3% of 87 movements31.1% of 90 movements34.1% of 88 movements37.6% of 93 movements43.5% of 85 movements50.5% of 93 movements202233.9% of 59 movements47.6% of 63 movements42.3% of 78 movements44.7% of 85 movements40.9% of 88 movements63.6% of 88 movements53.3% of 90 movements46.7% of 92 movements28.8% of 59 movements48.3% of 87 movements38.0% of 79 movements55.2% of 67 movements202336.5% of 63 movements58.1% of 62 movements62.2% of 82 movements30.3% of 89 movements44.2% of 95 movements59.3% of 91 movements61.5% of 96 movements44.4% of 90 movements39.5% of 86 movements40.9% of 88 movements33.3% of 78 movements44.2% of 77 movements202469.1% of 68 movements50.0% of 54 movements28.8% of 52 movements34.5% of 87 movements44.8% of 87 movements31.0% of 84 movements20.0% of 90 movements19.3% of 88 movements29.9% of 87 movements11.4% of 88 movements24.7% of 77 movements17.8% of 73 movements202540.6% of 69 movements20.3% of 74 movements11.2% of 80 movements11.5% of 87 movements10.6% of 85 movements15.1% of 86 movements34.4% of 96 movements10.5% of 86 movements12.0% of 83 movements28.2% of 85 movements51.9% of 81 movements22.2% of 72 movements202647.9% of 142 movements34.1% of 176 movements29.4% of 194 movements29.4% of 204 movements26.3% of 179 movements39.2% of 189 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan40.6%33.9–69.1%7 months, 863 flights
Feb37.4%20.3–58.1%7 months, 756 flights
Mar29.4%10.9–62.2%7 months, 812 flights
Apr29.4%11.5–44.7%7 months, 907 flights
May26.3%6.5–44.8%7 months, 869 flights
Jun32.5%15.1–63.6%7 months, 850 flights
Jul35.7%20.0–61.5%6 months, 711 flights
Aug30.4%10.5–46.7%6 months, 694 flights
Sep26.8%12.0–39.5%6 months, 638 flights
Oct34.6%11.4–48.3%6 months, 707 flights
Nov29.0%8.4–51.9%6 months, 533 flights
Dec27.0%17.6–55.2%6 months, 589 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, 31.5% of 1,585 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 optionLoganair31.5% of 1,585 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
Klm Cityhoppersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Loganair1,58531.5% of 1,585 movements4.4% of 1,585 movements2.5% of 1,585 movementsdescriptive comparison
North Flyingsuppressed: 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, BHD had the lowest disruption share at 14.8% of 27 movements — small sample, not ranked and GLA the highest at 31.5% of 391 movements. This route sits at 31.5% of 1,587 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 ↔ Sumburgh †14.8% of 27 flightsEdi ↔ Sumburgh29.4% of 545 flightsGla ↔ Sumburgh31.5% of 391 flightsLhr ↔ Sumburgh21.4% of 56 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bhd ↔ Sumburgh2714.8% of 27 movements — small sample, not rankedno events in 27 movements — small sample, not rankedno events in 27 movements — small sample, not rankedsmall sample; not ranked
Edi ↔ Sumburgh54529.4% of 545 movements6.4% of 545 movements0.2% of 545 movementsdescriptive comparison
Gla ↔ Sumburgh39131.5% of 391 movements5.9% of 391 movements0.8% of 391 movementsdescriptive comparison
Lcy ↔ Sumburghsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lhr ↔ Sumburgh5621.4% of 56 movementsno events in 56 movementsno events in 56 movementsdescriptive comparison
Man ↔ Sumburghsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sou ↔ Sumburghsuppressed: 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 31.5% of 1,587 movements disrupted, departures 26.6% of 1,568 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 ABZ31.5% of 1,587 movements4.4% of 1,587 movements2.5% of 1,587 movements
Departures from ABZ26.6% of 1,568 movements3.3% of 1,568 movements1.9% of 1,568 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 2026186 flights out of 10,425186 × £220 = £40,920
ArrivalsLast 72 months · Jul 2020–Jun 202699 flights out of 6,14599 × £220 = £21,780
DeparturesWhole archive · Jan 2018–Jun 2026140 flights out of 10,351140 × £220 = £30,800
DeparturesLast 72 months · Jul 2020–Jun 202694 flights out of 6,09394 × £220 = £20,680
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 / countrySUMBURGH / UNITED KINGDOM
Final point codesLSI / EGPB
Great-circle distance302 km
Maximum statutory amount for the band£220
Average operated arrivals per day4.16
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: 1,587; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

31.5% of 1,587 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

4.4% of 1,587 movements in the same window.

How many delays crossed three hours?

2.5% of 1,587 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?

302 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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