UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

ABZ ↔ HEATHROW

In the twelve months from July 2025 to June 2026, 20.3% of 2,341 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, 79.7% of 2,341 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 390 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, 20.3% of 2,341 movements were disrupted and 2.5% of 2,341 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
20.3% of 2,341 movements2.5% of 2,341 movements21.2–54.4 min; N of delayed flights=417–9642,341
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: 2.5% of 2,341 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 min17.8%30 min9.5%60 min3.4%120 min0.6%180 min0.3%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min17.8% of 2,341 movements4175.6
>30 min9.5% of 2,341 movements22310.5
>60 min3.4% of 2,341 movements8029.3
>120 min0.6% of 2,341 movements14167.2
>180 min0.3% of 2,341 movements6390.2
>360 minno events in 2,341 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 early40117.1%15–1 early91739.2%0–15 late54723.4%16–301948.3%31–601436.1%61…120662.8%121…18080.3%181…36060.3%>36000.0%D=2,342
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0178; 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: Jul 2020, 1.7% of 58 movements. Worst month: Sep 2022, 61.3% of 93 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: 11.7%; sample: 3002018Feb 2018: 15.2%; sample: 269Mar 2018: 18.7%; sample: 294Apr 2018: 12.1%; sample: 281May 2018: 8.5%; sample: 281Jun 2018: 10.3%; sample: 271Jul 2018: 22.1%; sample: 285Aug 2018: 12.4%; sample: 282Sep 2018: 10.7%; sample: 272Oct 2018: 18.8%; sample: 293Nov 2018: 17.6%; sample: 278Dec 2018: 20.5%; sample: 249Jan 2019: 11.0%; sample: 2272019Feb 2019: 17.1%; sample: 222Mar 2019: 23.9%; sample: 259Apr 2019: 10.1%; sample: 258May 2019: 8.6%; sample: 267Jun 2019: 21.7%; sample: 253Jul 2019: 21.6%; sample: 268Aug 2019: 25.0%; sample: 264Sep 2019: 24.1%; sample: 253Oct 2019: 20.8%; sample: 274Nov 2019: 13.3%; sample: 285Dec 2019: 17.3%; sample: 284Jan 2020: 9.5%; sample: 2852020Feb 2020: 28.0%; sample: 268Mar 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: 1.7%; sample: 58Aug 2020: 11.1%; sample: 45Sep 2020: 3.6%; sample: 55Oct 2020: 10.0%; sample: 100Nov 2020: 20.7%; sample: 58Dec 2020: 14.9%; sample: 67Jan 2021: 17.0%; sample: 532021Feb 2021: 16.7%; sample: 48Mar 2021: 8.2%; sample: 61Apr 2021: 5.0%; sample: 60May 2021: 2.4%; sample: 84Jun 2021: 5.4%; sample: 111Jul 2021: 6.7%; sample: 105Aug 2021: 4.9%; sample: 123Sep 2021: 17.7%; sample: 124Oct 2021: 15.7%; sample: 127Nov 2021: 23.3%; sample: 133Dec 2021: 20.4%; sample: 137Jan 2022: 13.2%; sample: 1292022Feb 2022: 30.6%; sample: 144Mar 2022: 22.1%; sample: 163Apr 2022: 37.6%; sample: 141May 2022: 37.0%; sample: 146Jun 2022: 43.4%; sample: 129Jul 2022: 48.1%; sample: 104Aug 2022: 31.8%; sample: 88Sep 2022: 61.3%; sample: 93Oct 2022: 43.8%; sample: 146Nov 2022: 39.8%; sample: 196Dec 2022: 58.0%; sample: 181Jan 2023: 37.1%; sample: 1942023Feb 2023: 32.8%; sample: 183Mar 2023: 55.6%; sample: 196Apr 2023: 35.2%; sample: 142May 2023: 39.9%; sample: 163Jun 2023: 51.1%; sample: 135Jul 2023: 39.7%; sample: 146Aug 2023: 45.9%; sample: 157Sep 2023: 42.9%; sample: 154Oct 2023: 39.1%; sample: 169Nov 2023: 32.8%; sample: 192Dec 2023: 38.3%; sample: 167Jan 2024: 17.2%; sample: 1742024Feb 2024: 17.2%; sample: 186Mar 2024: 23.7%; sample: 198Apr 2024: 29.3%; sample: 198May 2024: 34.8%; sample: 201Jun 2024: 34.1%; sample: 179Jul 2024: 52.3%; sample: 195Aug 2024: 39.7%; sample: 199Sep 2024: 49.5%; sample: 194Oct 2024: 26.0%; sample: 215Nov 2024: 16.2%; sample: 240Dec 2024: 22.6%; sample: 230Jan 2025: 18.8%; sample: 2392025Feb 2025: 5.7%; sample: 212Mar 2025: 14.1%; sample: 227Apr 2025: 8.3%; sample: 181May 2025: 13.8%; sample: 189Jun 2025: 23.1%; sample: 173Jul 2025: 34.9%; sample: 172Aug 2025: 26.8%; sample: 168Sep 2025: 37.2%; sample: 180Oct 2025: 22.5%; sample: 200Nov 2025: 17.2%; sample: 239Dec 2025: 14.6%; sample: 226Jan 2026: 21.7%; sample: 2172026Feb 2026: 8.0%; sample: 200Mar 2026: 7.1%; sample: 226Apr 2026: 8.5%; sample: 177May 2026: 22.3%; sample: 179Jun 2026: 32.5%; sample: 157Pandemic 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 201811.7% of 300 movements
Feb 201815.2% of 269 movements
Mar 201818.7% of 294 movements
Apr 201812.1% of 281 movements
May 20188.5% of 281 movements
Jun 201810.3% of 271 movements
Jul 201822.1% of 285 movements
Aug 201812.4% of 282 movements
Sep 201810.7% of 272 movements
Oct 201818.8% of 293 movements
Nov 201817.6% of 278 movements
Dec 201820.5% of 249 movements
Jan 201911.0% of 227 movements
Feb 201917.1% of 222 movements
Mar 201923.9% of 259 movements
Apr 201910.1% of 258 movements
May 20198.6% of 267 movements
Jun 201921.7% of 253 movements
Jul 201921.6% of 268 movements
Aug 201925.0% of 264 movements
Sep 201924.1% of 253 movements
Oct 201920.8% of 274 movements
Nov 201913.3% of 285 movements
Dec 201917.3% of 284 movements
Jan 20209.5% of 285 movements
Feb 202028.0% of 268 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 20201.7% of 58 movements
Aug 202011.1% of 45 movements — small sample, not ranked
Sep 20203.6% of 55 movements
Oct 202010.0% of 100 movements
Nov 202020.7% of 58 movements
Dec 202014.9% of 67 movements
Jan 202117.0% of 53 movements
Feb 202116.7% of 48 movements — small sample, not ranked
Mar 20218.2% of 61 movements
Apr 20215.0% of 60 movements
May 20212.4% of 84 movements
Jun 20215.4% of 111 movements
Jul 20216.7% of 105 movements
Aug 20214.9% of 123 movements
Sep 202117.7% of 124 movements
Oct 202115.7% of 127 movements
Nov 202123.3% of 133 movements
Dec 202120.4% of 137 movements
Jan 202213.2% of 129 movements
Feb 202230.6% of 144 movements
Mar 202222.1% of 163 movements
Apr 202237.6% of 141 movements
May 202237.0% of 146 movements
Jun 202243.4% of 129 movements
Jul 202248.1% of 104 movements
Aug 202231.8% of 88 movements
Sep 202261.3% of 93 movements
Oct 202243.8% of 146 movements
Nov 202239.8% of 196 movements
Dec 202258.0% of 181 movements
Jan 202337.1% of 194 movements
Feb 202332.8% of 183 movements
Mar 202355.6% of 196 movements
Apr 202335.2% of 142 movements
May 202339.9% of 163 movements
Jun 202351.1% of 135 movements
Jul 202339.7% of 146 movements
Aug 202345.9% of 157 movements
Sep 202342.9% of 154 movements
Oct 202339.1% of 169 movements
Nov 202332.8% of 192 movements
Dec 202338.3% of 167 movements
Jan 202417.2% of 174 movements
Feb 202417.2% of 186 movements
Mar 202423.7% of 198 movements
Apr 202429.3% of 198 movements
May 202434.8% of 201 movements
Jun 202434.1% of 179 movements
Jul 202452.3% of 195 movements
Aug 202439.7% of 199 movements
Sep 202449.5% of 194 movements
Oct 202426.0% of 215 movements
Nov 202416.2% of 240 movements
Dec 202422.6% of 230 movements
Jan 202518.8% of 239 movements
Feb 20255.7% of 212 movements
Mar 202514.1% of 227 movements
Apr 20258.3% of 181 movements
May 202513.8% of 189 movements
Jun 202523.1% of 173 movements
Jul 202534.9% of 172 movements
Aug 202526.8% of 168 movements
Sep 202537.2% of 180 movements
Oct 202522.5% of 200 movements
Nov 202517.2% of 239 movements
Dec 202514.6% of 226 movements
Jan 202621.7% of 217 movements
Feb 20268.0% of 200 movements
Mar 20267.1% of 226 movements
Apr 20268.5% of 177 movements
May 202622.3% of 179 movements
Jun 202632.5% of 157 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 2020Departuressuppressed: fewer than twenty movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals48.1% of 104 movements22.7% across 1,601 flightsstill above it 8 months later
Summer 2022 breakdown · Jul 2022Departures57.7% of 104 movements24.4% across 1,602 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals45.9% of 157 movements43.8% across 1,863 flightsreturned the next month
NATS system failure · Aug 2023Departures33.8% of 157 movements37.2% across 1,858 flightsreturned after 3 months
Heathrow fire closure · Mar 2025Arrivals14.1% of 227 movements29.4% across 2,500 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures13.2% of 228 movements26.9% across 2,492 flightsreturned the next month
Definitions, denominators and limits

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

Which time of year has historically been hardest?

September has historically been the hardest month on this route: in a typical September, 40.0% of arrivals were disrupted, measured across 6 Septembers in the archive. April has been the calmest, at 12.1% across 7 Aprils.

Even September has ranged from 10.7% to 61.3% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201911.0% of 227 movements17.1% of 222 movements23.9% of 259 movements10.1% of 258 movements8.6% of 267 movements21.7% of 253 movements21.6% of 268 movements25.0% of 264 movements24.1% of 253 movements20.8% of 274 movements13.3% of 285 movements17.3% of 284 movements20209.5% of 285 movements28.0% of 268 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements1.7% of 58 movements11.1% of 45 movements †3.6% of 55 movements10.0% of 100 movements20.7% of 58 movements14.9% of 67 movements202117.0% of 53 movements16.7% of 48 movements †8.2% of 61 movements5.0% of 60 movements2.4% of 84 movements5.4% of 111 movements6.7% of 105 movements4.9% of 123 movements17.7% of 124 movements15.7% of 127 movements23.3% of 133 movements20.4% of 137 movements202213.2% of 129 movements30.6% of 144 movements22.1% of 163 movements37.6% of 141 movements37.0% of 146 movements43.4% of 129 movements48.1% of 104 movements31.8% of 88 movements61.3% of 93 movements43.8% of 146 movements39.8% of 196 movements58.0% of 181 movements202337.1% of 194 movements32.8% of 183 movements55.6% of 196 movements35.2% of 142 movements39.9% of 163 movements51.1% of 135 movements39.7% of 146 movements45.9% of 157 movements42.9% of 154 movements39.1% of 169 movements32.8% of 192 movements38.3% of 167 movements202417.2% of 174 movements17.2% of 186 movements23.7% of 198 movements29.3% of 198 movements34.8% of 201 movements34.1% of 179 movements52.3% of 195 movements39.7% of 199 movements49.5% of 194 movements26.0% of 215 movements16.2% of 240 movements22.6% of 230 movements202518.8% of 239 movements5.7% of 212 movements14.1% of 227 movements8.3% of 181 movements13.8% of 189 movements23.1% of 173 movements34.9% of 172 movements26.8% of 168 movements37.2% of 180 movements22.5% of 200 movements17.2% of 239 movements14.6% of 226 movements202621.7% of 217 movements8.0% of 200 movements7.1% of 226 movements8.5% of 177 movements22.3% of 179 movements32.5% of 157 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan17.2%11.0–37.1%7 months, 1,480 flights
Feb17.1%5.7–32.8%7 months, 1,416 flights
Mar22.1%7.1–55.6%7 months, 1,563 flights
Apr12.1%8.3–37.6%7 months, 1,378 flights
May22.3%8.5–39.9%7 months, 1,426 flights
Jun32.5%10.3–51.1%7 months, 1,297 flights
Jul37.3%21.6–52.3%6 months, 1,170 flights
Aug29.3%12.4–45.9%6 months, 1,158 flights
Sep40.0%10.7–61.3%6 months, 1,146 flights
Oct24.3%18.8–43.8%6 months, 1,297 flights
Nov17.4%13.3–39.8%6 months, 1,430 flights
Dec21.5%14.6–58.0%6 months, 1,337 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: British Airways Plc, 20.3% of 2,335 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 optionBritish Airways20.3% of 2,335 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Ba Euroflyer British Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
British Airways2,33520.3% of 2,335 movements2.4% of 2,335 movements0.3% of 2,335 movementsdescriptive comparison
Flybesuppressed: 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

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, NCL had the lowest disruption share at 18.6% of 1,838 movements and MAN the highest at 29.1% of 2,568 movements. This route sits at 20.3% of 2,341 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 ↔ Heathrow19.6% of 2,266 flightsEdi ↔ Heathrow23.0% of 3,751 flightsGla ↔ Heathrow20.9% of 3,563 flightsIom ↔ Heathrow21.2% of 363 flightsJer ↔ Heathrow23.5% of 1,081 flightsMan ↔ Heathrow29.1% of 2,568 flightsNcl ↔ Heathrow18.6% of 1,838 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Heathrow2,26619.6% of 2,266 movements1.3% of 2,266 movements0.1% of 2,266 movementsdescriptive comparison
Bhx ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Boh ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Cwl ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Heathrow3,75123.0% of 3,751 movements1.2% of 3,751 movements0.1% of 3,751 movementsdescriptive comparison
Ext ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Heathrow3,56320.9% of 3,563 movements1.0% of 3,563 movements0.1% of 3,563 movementsdescriptive comparison
Iom ↔ Heathrow36321.2% of 363 movements2.2% of 363 movements0.3% of 363 movementsdescriptive comparison
Jer ↔ Heathrow1,08123.5% of 1,081 movements0.8% of 1,081 movements0.5% of 1,081 movementsdescriptive comparison
Lba ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lcy ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Heathrow2,56829.1% of 2,568 movements0.6% of 2,568 movements0.2% of 2,568 movementsdescriptive comparison
Mme ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ Heathrow1,83818.6% of 1,838 movements0.8% of 1,838 movementsno events in 1,838 movementsdescriptive comparison
Sou ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Heathrowsuppressed: 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 20.3% of 2,341 movements disrupted, departures 16.9% of 2,336 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 ABZ20.3% of 2,341 movements2.5% of 2,341 movements0.3% of 2,341 movements
Departures from ABZ16.9% of 2,336 movements2.6% of 2,336 movements0.7% of 2,336 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 18,24653 × £220 = £11,660
ArrivalsLast 72 months · Jul 2020–Jun 202635 flights out of 11,17835 × £220 = £7,700
DeparturesWhole archive · Jan 2018–Jun 202687 flights out of 18,22287 × £220 = £19,140
DeparturesLast 72 months · Jul 2020–Jun 202664 flights out of 11,15764 × £220 = £14,080
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 / countryHEATHROW / UNITED KINGDOM
Final point codesLHR / EGLL
Great-circle distance647 km
Maximum statutory amount for the band£220
Average operated arrivals per day6.25
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: 1; all recorded operations: 2,342; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

20.3% of 2,341 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

2.5% of 2,341 movements in the same window.

How many delays crossed three hours?

0.3% of 2,341 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?

647 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?

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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

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