UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

ABZ ↔ STAVANGER

In the twelve months from July 2025 to June 2026, 10.3% of 890 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, 89.7% of 890 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, 10.3% of 890 movements were disrupted and 3.4% of 890 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
10.3% of 890 movements3.4% of 890 movements13.5–59.0 min; N of delayed flights=62–208890
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: 3.4% of 890 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 min7.0%30 min3.6%60 min1.1%120 min0.2%180 min0.0%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min7.0% of 890 movements6214.4
>30 min3.6% of 890 movements3227.8
>60 min1.1% of 890 movements1089.0
>120 min0.2% of 890 movements2445.0
>180 minno events in 890 movements0no observed events, which is not zero risk
>360 minno events in 890 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 early16718.8%15–1 early48554.5%0–15 late14616.4%16–30303.4%31–60222.5%61…12080.9%121…18020.2%181…36000.0%>36000.0%D=890
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: May 2025, 2.2% of 91 movements. Worst month: Dec 2022, 45.0% of 80 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: 27.0%; sample: 892018Feb 2018: 28.4%; sample: 88Mar 2018: 21.1%; sample: 95Apr 2018: 9.5%; sample: 95May 2018: 8.6%; sample: 93Jun 2018: 22.2%; sample: 90Jul 2018: 35.5%; sample: 76Aug 2018: 16.0%; sample: 94Sep 2018: 26.7%; sample: 90Oct 2018: 17.8%; sample: 107Nov 2018: 9.0%; sample: 100Dec 2018: 19.2%; sample: 78Jan 2019: 20.4%; sample: 982019Feb 2019: 17.0%; sample: 100Mar 2019: 19.8%; sample: 106Apr 2019: 15.2%; sample: 99May 2019: 15.5%; sample: 97Jun 2019: 13.9%; sample: 108Jul 2019: 22.4%; sample: 85Aug 2019: 12.4%; sample: 113Sep 2019: 13.7%; sample: 124Oct 2019: 9.2%; sample: 131Nov 2019: 10.0%; sample: 120Dec 2019: 17.2%; sample: 99Jan 2020: 17.9%; sample: 1122020Feb 2020: 29.5%; sample: 105Mar 2020: suppressed: fewer than twenty movements×Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: 9.5%; sample: 42Jul 2020: 10.8%; sample: 37Aug 2020: 4.8%; sample: 62Sep 2020: 14.9%; sample: 67Oct 2020: 29.7%; sample: 64Nov 2020: 10.6%; sample: 47Dec 2020: 6.7%; sample: 30Jan 2021: 14.7%; sample: 342021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: 9.5%; sample: 21May 2021: 0.0%; sample: 31Jun 2021: 2.3%; sample: 44Jul 2021: 9.1%; sample: 44Aug 2021: 10.4%; sample: 48Sep 2021: 10.3%; sample: 68Oct 2021: 33.8%; sample: 80Nov 2021: 24.1%; sample: 83Dec 2021: 34.0%; sample: 47Jan 2022: 20.0%; sample: 352022Feb 2022: 27.8%; sample: 36Mar 2022: 8.1%; sample: 74Apr 2022: 24.0%; sample: 75May 2022: 17.6%; sample: 85Jun 2022: 19.5%; sample: 82Jul 2022: 21.4%; sample: 56Aug 2022: 21.4%; sample: 84Sep 2022: 12.0%; sample: 92Oct 2022: 23.3%; sample: 90Nov 2022: 12.5%; sample: 96Dec 2022: 45.0%; sample: 80Jan 2023: 24.4%; sample: 862023Feb 2023: 21.8%; sample: 87Mar 2023: 26.5%; sample: 98Apr 2023: 11.5%; sample: 78May 2023: 16.3%; sample: 86Jun 2023: 17.9%; sample: 84Jul 2023: 19.2%; sample: 73Aug 2023: 23.5%; sample: 81Sep 2023: 18.4%; sample: 87Oct 2023: 22.6%; sample: 93Nov 2023: 25.3%; sample: 87Dec 2023: 44.3%; sample: 61Jan 2024: 33.3%; sample: 752024Feb 2024: 32.5%; sample: 83Mar 2024: 17.1%; sample: 76Apr 2024: 15.1%; sample: 86May 2024: 18.8%; sample: 85Jun 2024: 22.8%; sample: 79Jul 2024: 7.5%; sample: 53Aug 2024: 12.8%; sample: 78Sep 2024: 16.9%; sample: 89Oct 2024: 10.4%; sample: 96Nov 2024: 13.2%; sample: 91Dec 2024: 13.7%; sample: 73Jan 2025: 22.2%; sample: 722025Feb 2025: 3.8%; sample: 80Mar 2025: 7.4%; sample: 94Apr 2025: 6.2%; sample: 80May 2025: 2.2%; sample: 91Jun 2025: 16.7%; sample: 84Jul 2025: 2.1%; sample: 48Aug 2025: 6.5%; sample: 77Sep 2025: 8.3%; sample: 96Oct 2025: 7.7%; sample: 91Nov 2025: 12.0%; sample: 92Dec 2025: 12.5%; sample: 80Jan 2026: 20.5%; sample: 782026Feb 2026: 14.7%; sample: 75Mar 2026: 12.3%; sample: 65Apr 2026: 10.6%; sample: 66May 2026: 2.9%; sample: 68Jun 2026: 11.1%; sample: 54Pandemic 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 201827.0% of 89 movements
Feb 201828.4% of 88 movements
Mar 201821.1% of 95 movements
Apr 20189.5% of 95 movements
May 20188.6% of 93 movements
Jun 201822.2% of 90 movements
Jul 201835.5% of 76 movements
Aug 201816.0% of 94 movements
Sep 201826.7% of 90 movements
Oct 201817.8% of 107 movements
Nov 20189.0% of 100 movements
Dec 201819.2% of 78 movements
Jan 201920.4% of 98 movements
Feb 201917.0% of 100 movements
Mar 201919.8% of 106 movements
Apr 201915.2% of 99 movements
May 201915.5% of 97 movements
Jun 201913.9% of 108 movements
Jul 201922.4% of 85 movements
Aug 201912.4% of 113 movements
Sep 201913.7% of 124 movements
Oct 20199.2% of 131 movements
Nov 201910.0% of 120 movements
Dec 201917.2% of 99 movements
Jan 202017.9% of 112 movements
Feb 202029.5% of 105 movements
Mar 2020suppressed: fewer than twenty movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 20209.5% of 42 movements — small sample, not ranked
Jul 202010.8% of 37 movements — small sample, not ranked
Aug 20204.8% of 62 movements
Sep 202014.9% of 67 movements
Oct 202029.7% of 64 movements
Nov 202010.6% of 47 movements — small sample, not ranked
Dec 20206.7% of 30 movements — small sample, not ranked
Jan 202114.7% of 34 movements — small sample, not ranked
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 20219.5% of 21 movements — small sample, not ranked
May 2021no events in 31 movements — small sample, not ranked
Jun 20212.3% of 44 movements — small sample, not ranked
Jul 20219.1% of 44 movements — small sample, not ranked
Aug 202110.4% of 48 movements — small sample, not ranked
Sep 202110.3% of 68 movements
Oct 202133.8% of 80 movements
Nov 202124.1% of 83 movements
Dec 202134.0% of 47 movements — small sample, not ranked
Jan 202220.0% of 35 movements — small sample, not ranked
Feb 202227.8% of 36 movements — small sample, not ranked
Mar 20228.1% of 74 movements
Apr 202224.0% of 75 movements
May 202217.6% of 85 movements
Jun 202219.5% of 82 movements
Jul 202221.4% of 56 movements
Aug 202221.4% of 84 movements
Sep 202212.0% of 92 movements
Oct 202223.3% of 90 movements
Nov 202212.5% of 96 movements
Dec 202245.0% of 80 movements
Jan 202324.4% of 86 movements
Feb 202321.8% of 87 movements
Mar 202326.5% of 98 movements
Apr 202311.5% of 78 movements
May 202316.3% of 86 movements
Jun 202317.9% of 84 movements
Jul 202319.2% of 73 movements
Aug 202323.5% of 81 movements
Sep 202318.4% of 87 movements
Oct 202322.6% of 93 movements
Nov 202325.3% of 87 movements
Dec 202344.3% of 61 movements
Jan 202433.3% of 75 movements
Feb 202432.5% of 83 movements
Mar 202417.1% of 76 movements
Apr 202415.1% of 86 movements
May 202418.8% of 85 movements
Jun 202422.8% of 79 movements
Jul 20247.5% of 53 movements
Aug 202412.8% of 78 movements
Sep 202416.9% of 89 movements
Oct 202410.4% of 96 movements
Nov 202413.2% of 91 movements
Dec 202413.7% of 73 movements
Jan 202522.2% of 72 movements
Feb 20253.8% of 80 movements
Mar 20257.4% of 94 movements
Apr 20256.2% of 80 movements
May 20252.2% of 91 movements
Jun 202516.7% of 84 movements
Jul 20252.1% of 48 movements — small sample, not ranked
Aug 20256.5% of 77 movements
Sep 20258.3% of 96 movements
Oct 20257.7% of 91 movements
Nov 202512.0% of 92 movements
Dec 202512.5% of 80 movements
Jan 202620.5% of 78 movements
Feb 202614.7% of 75 movements
Mar 202612.3% of 65 movements
Apr 202610.6% of 66 movements
May 20262.9% of 68 movements
Jun 202611.1% of 54 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 2020Arrivals9.5% of 42 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departures7.1% of 42 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals21.4% of 56 movements19.9% across 757 flightsreturned after 2 months
Summer 2022 breakdown · Jul 2022Departures33.9% of 56 movements21.9% across 755 flightsreturned after 2 months
NATS system failure · Aug 2023Arrivals23.5% of 81 movements21.0% across 1,034 flightsreturned the next month
NATS system failure · Aug 2023Departures19.8% of 81 movements20.0% across 1,032 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals7.4% of 94 movements14.5% across 958 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures7.4% of 94 movements13.3% across 958 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, 22.2% of arrivals were disrupted, measured across 7 Januarys in the archive. April has been the calmest, at 11.5% across 7 Aprils.

Even January has ranged from 20.0% to 33.3% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201920.4% of 98 movements17.0% of 100 movements19.8% of 106 movements15.2% of 99 movements15.5% of 97 movements13.9% of 108 movements22.4% of 85 movements12.4% of 113 movements13.7% of 124 movements9.2% of 131 movements10.0% of 120 movements17.2% of 99 movements202017.9% of 112 movements29.5% of 105 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements9.5% of 42 movements †10.8% of 37 movements †4.8% of 62 movements14.9% of 67 movements29.7% of 64 movements10.6% of 47 movements †6.7% of 30 movements †202114.7% of 34 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movements9.5% of 21 movements †no events in 31 movements †2.3% of 44 movements †9.1% of 44 movements †10.4% of 48 movements †10.3% of 68 movements33.8% of 80 movements24.1% of 83 movements34.0% of 47 movements †202220.0% of 35 movements †27.8% of 36 movements †8.1% of 74 movements24.0% of 75 movements17.6% of 85 movements19.5% of 82 movements21.4% of 56 movements21.4% of 84 movements12.0% of 92 movements23.3% of 90 movements12.5% of 96 movements45.0% of 80 movements202324.4% of 86 movements21.8% of 87 movements26.5% of 98 movements11.5% of 78 movements16.3% of 86 movements17.9% of 84 movements19.2% of 73 movements23.5% of 81 movements18.4% of 87 movements22.6% of 93 movements25.3% of 87 movements44.3% of 61 movements202433.3% of 75 movements32.5% of 83 movements17.1% of 76 movements15.1% of 86 movements18.8% of 85 movements22.8% of 79 movements7.5% of 53 movements12.8% of 78 movements16.9% of 89 movements10.4% of 96 movements13.2% of 91 movements13.7% of 73 movements202522.2% of 72 movements3.8% of 80 movements7.4% of 94 movements6.2% of 80 movements2.2% of 91 movements16.7% of 84 movements2.1% of 48 movements †6.5% of 77 movements8.3% of 96 movements7.7% of 91 movements12.0% of 92 movements12.5% of 80 movements202620.5% of 78 movements14.7% of 75 movements12.3% of 65 movements10.6% of 66 movements2.9% of 68 movements11.1% of 54 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan22.2%20.0–33.3%7 months, 533 flights
Feb21.8%3.8–32.5%7 months, 549 flights
Mar17.1%7.4–26.5%7 months, 608 flights
Apr11.5%6.2–24.0%7 months, 579 flights
May15.5%2.2–18.8%7 months, 605 flights
Jun17.9%11.1–22.8%7 months, 581 flights
Jul20.3%2.1–35.5%6 months, 391 flights
Aug14.4%6.5–23.5%6 months, 527 flights
Sep15.3%8.3–26.7%6 months, 578 flights
Oct14.1%7.7–23.3%6 months, 608 flights
Nov12.2%9.0–25.3%6 months, 586 flights
Dec18.2%12.5–45.0%6 months, 471 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: Wideroe Flyveselskap A/S 8.8% of 464 movements, Sas 12.0% of 426 movements. The gap between them sits inside sampling noise.

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

Observed disruption share by optionSas12.0% of 426 flightsWideroe Flyveselskap A/S8.8% of 464 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Danish Air Transportsuppressed: 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
Jota Aviationsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Loganairsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sas42612.0% of 426 movements3.3% of 426 movementsno events in 426 movementsdescriptive comparison
Wideroe Flyveselskap A/S4648.8% of 464 movements3.4% of 464 movementsno events in 464 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, LGW had the lowest disruption share at 10.1% of 267 movements and MAN the highest at 31.5% of 73 movements. This route sits at 10.3% of 890 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 optionLgw ↔ Stavanger10.1% of 267 flightsMan ↔ Stavanger31.5% of 73 flightsNcl ↔ Stavanger18.3% of 71 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Boh ↔ Stavangersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Cwl ↔ Stavangersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Stavangersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Stavangersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Stavanger26710.1% of 267 movements0.4% of 267 movements0.4% of 267 movementsdescriptive comparison
Lhr ↔ Stavangersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ Stavangersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Stavangersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Stavanger7331.5% of 73 movements2.7% of 73 movementsno events in 73 movementsdescriptive comparison
Mme ↔ Stavangersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ Stavanger7118.3% of 71 movementsno events in 71 movementsno events in 71 movementsdescriptive comparison

Does the direction you are flying change anything?

Barely: arrivals into ABZ ran 10.3% of 890 movements disrupted, departures 10.2% of 892 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 ABZ10.3% of 890 movements3.4% of 890 movementsno events in 890 movements
Departures from ABZ10.2% of 892 movements3.6% of 892 movements0.1% of 892 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 7,7176 × £220 = £1,320
ArrivalsLast 72 months · Jul 2020–Jun 20263 flights out of 5,0823 × £220 = £660
DeparturesWhole archive · Jan 2018–Jun 202615 flights out of 7,68715 × £220 = £3,300
DeparturesLast 72 months · Jul 2020–Jun 202611 flights out of 5,07711 × £220 = £2,420
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 / countrySTAVANGER / NORWAY
Final point codesSVG / ENZV
Great-circle distance497 km
Maximum statutory amount for the band£220
Average operated arrivals per day2.36
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: 890; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

10.3% of 890 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

3.4% of 890 movements in the same window.

How many delays crossed three hours?

no events in 890 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?

497 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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