UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

SOU ↔ BELFAST CITY GEORGE BEST

In the twelve months from July 2025 to June 2026, 20.4% of 878 movements arriving into SOU were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 79.6% of 878 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 176 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, 20.4% of 878 movements were disrupted and 2.1% of 878 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
20.4% of 878 movements2.1% of 878 movements25.7–60.9 min; N of delayed flights=161–348878
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: 2.1% of 878 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 min18.3%30 min9.6%60 min4.6%120 min1.5%180 min0.6%360 min0.1%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min18.3% of 878 movements1615.5
>30 min9.6% of 878 movements8410.5
>60 min4.6% of 878 movements4021.9
>120 min1.5% of 878 movements1367.5
>180 min0.6% of 878 movements5175.6
>360 min0.1% of 878 movements1878.0
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 early18821.4%15–1 early32436.9%0–15 late18721.3%16–30778.8%31–60445.0%61…120273.1%121…18080.9%181…36040.5%>36010.1%D=878
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0413; 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: Jan 2023, 3.4% of 58 movements. Worst month: Jun 2022, 67.9% of 53 movements.

The line traces every month in the archive; lower is better. Gaps are months with no published data, never zeros. The 2020 and 2021 readings reflect the pandemic, not normal service.

Monthly disruption share; gaps mean no published dataJan 2018: 7.3%; sample: 822018Feb 2018: 5.2%; sample: 77Mar 2018: 16.3%; sample: 86Apr 2018: 5.7%; sample: 87May 2018: 7.8%; sample: 90Jun 2018: 22.2%; sample: 90Jul 2018: 10.8%; sample: 93Aug 2018: 9.8%; sample: 92Sep 2018: 14.1%; sample: 85Oct 2018: 15.7%; sample: 89Nov 2018: 15.0%; sample: 80Dec 2018: 13.3%; sample: 75Jan 2019: 13.4%; sample: 672019Feb 2019: 17.4%; sample: 69Mar 2019: 12.7%; sample: 79Apr 2019: 10.7%; sample: 75May 2019: 9.8%; sample: 82Jun 2019: 15.9%; sample: 82Jul 2019: 10.8%; sample: 83Aug 2019: 11.8%; sample: 85Sep 2019: 19.0%; sample: 79Oct 2019: 11.5%; sample: 78Nov 2019: 23.1%; sample: 65Dec 2019: 23.9%; sample: 71Jan 2020: 8.3%; sample: 602020Feb 2020: 9.7%; sample: 62Mar 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: 4.3%; sample: 23Aug 2020: 23.8%; sample: 21Sep 2020: 16.7%; sample: 36Oct 2020: 3.6%; sample: 28Nov 2020: 8.3%; sample: 24Dec 2020: 14.3%; sample: 21Jan 2021: suppressed: fewer than twenty movements×2021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: suppressed: fewer than twenty movements×May 2021: suppressed: fewer than twenty movements×Jun 2021: 36.4%; sample: 22Jul 2021: 40.0%; sample: 25Aug 2021: 55.6%; sample: 27Sep 2021: 50.0%; sample: 26Oct 2021: 31.8%; sample: 44Nov 2021: 7.9%; sample: 38Dec 2021: 20.7%; sample: 29Jan 2022: 3.7%; sample: 272022Feb 2022: 30.8%; sample: 26Mar 2022: 3.7%; sample: 27Apr 2022: 35.7%; sample: 28May 2022: 48.6%; sample: 37Jun 2022: 67.9%; sample: 53Jul 2022: 25.3%; sample: 79Aug 2022: 34.0%; sample: 97Sep 2022: 28.2%; sample: 103Oct 2022: 29.7%; sample: 91Nov 2022: 25.3%; sample: 79Dec 2022: 16.7%; sample: 54Jan 2023: 3.4%; sample: 582023Feb 2023: 4.0%; sample: 50Mar 2023: 12.3%; sample: 57Apr 2023: 9.1%; sample: 55May 2023: 28.1%; sample: 57Jun 2023: 32.7%; sample: 52Jul 2023: 26.8%; sample: 56Aug 2023: 31.0%; sample: 58Sep 2023: 32.7%; sample: 55Oct 2023: 24.1%; sample: 58Nov 2023: 5.4%; sample: 56Dec 2023: 14.3%; sample: 70Jan 2024: 20.3%; sample: 592024Feb 2024: 2.1%; sample: 48Mar 2024: 10.3%; sample: 58Apr 2024: 12.5%; sample: 56May 2024: 10.3%; sample: 58Jun 2024: 14.3%; sample: 77Jul 2024: 9.0%; sample: 89Aug 2024: 10.2%; sample: 88Sep 2024: 18.1%; sample: 83Oct 2024: 18.3%; sample: 82Nov 2024: 9.6%; sample: 73Dec 2024: 18.1%; sample: 72Jan 2025: 23.2%; sample: 692025Feb 2025: 12.5%; sample: 64Mar 2025: 10.5%; sample: 76Apr 2025: 16.4%; sample: 73May 2025: 10.0%; sample: 80Jun 2025: 11.5%; sample: 78Jul 2025: 17.9%; sample: 78Aug 2025: 24.7%; sample: 81Sep 2025: 17.6%; sample: 68Oct 2025: 17.4%; sample: 69Nov 2025: 24.6%; sample: 57Dec 2025: 40.0%; sample: 60Jan 2026: 21.0%; sample: 622026Feb 2026: 17.5%; sample: 57Mar 2026: 23.4%; sample: 64Apr 2026: 13.3%; sample: 90May 2026: 20.4%; sample: 98Jun 2026: 13.8%; sample: 94Pandemic regime Jun 2020Summer 2022 breakdown Jul 2022NATS system failure Aug 2023Heathrow fire closure Mar 2025100%0%
Every month since 2018, including gaps and suppressed cells
MonthDisruption on arrivals
Jan 20187.3% of 82 movements
Feb 20185.2% of 77 movements
Mar 201816.3% of 86 movements
Apr 20185.7% of 87 movements
May 20187.8% of 90 movements
Jun 201822.2% of 90 movements
Jul 201810.8% of 93 movements
Aug 20189.8% of 92 movements
Sep 201814.1% of 85 movements
Oct 201815.7% of 89 movements
Nov 201815.0% of 80 movements
Dec 201813.3% of 75 movements
Jan 201913.4% of 67 movements
Feb 201917.4% of 69 movements
Mar 201912.7% of 79 movements
Apr 201910.7% of 75 movements
May 20199.8% of 82 movements
Jun 201915.9% of 82 movements
Jul 201910.8% of 83 movements
Aug 201911.8% of 85 movements
Sep 201919.0% of 79 movements
Oct 201911.5% of 78 movements
Nov 201923.1% of 65 movements
Dec 201923.9% of 71 movements
Jan 20208.3% of 60 movements
Feb 20209.7% of 62 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 20204.3% of 23 movements — small sample, not ranked
Aug 202023.8% of 21 movements — small sample, not ranked
Sep 202016.7% of 36 movements — small sample, not ranked
Oct 20203.6% of 28 movements — small sample, not ranked
Nov 20208.3% of 24 movements — small sample, not ranked
Dec 202014.3% of 21 movements — small sample, not ranked
Jan 2021suppressed: fewer than twenty movements
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 2021suppressed: fewer than twenty movements
May 2021suppressed: fewer than twenty movements
Jun 202136.4% of 22 movements — small sample, not ranked
Jul 202140.0% of 25 movements — small sample, not ranked
Aug 202155.6% of 27 movements — small sample, not ranked
Sep 202150.0% of 26 movements — small sample, not ranked
Oct 202131.8% of 44 movements — small sample, not ranked
Nov 20217.9% of 38 movements — small sample, not ranked
Dec 202120.7% of 29 movements — small sample, not ranked
Jan 20223.7% of 27 movements — small sample, not ranked
Feb 202230.8% of 26 movements — small sample, not ranked
Mar 20223.7% of 27 movements — small sample, not ranked
Apr 202235.7% of 28 movements — small sample, not ranked
May 202248.6% of 37 movements — small sample, not ranked
Jun 202267.9% of 53 movements
Jul 202225.3% of 79 movements
Aug 202234.0% of 97 movements
Sep 202228.2% of 103 movements
Oct 202229.7% of 91 movements
Nov 202225.3% of 79 movements
Dec 202216.7% of 54 movements
Jan 20233.4% of 58 movements
Feb 20234.0% of 50 movements
Mar 202312.3% of 57 movements
Apr 20239.1% of 55 movements
May 202328.1% of 57 movements
Jun 202332.7% of 52 movements
Jul 202326.8% of 56 movements
Aug 202331.0% of 58 movements
Sep 202332.7% of 55 movements
Oct 202324.1% of 58 movements
Nov 20235.4% of 56 movements
Dec 202314.3% of 70 movements
Jan 202420.3% of 59 movements
Feb 20242.1% of 48 movements — small sample, not ranked
Mar 202410.3% of 58 movements
Apr 202412.5% of 56 movements
May 202410.3% of 58 movements
Jun 202414.3% of 77 movements
Jul 20249.0% of 89 movements
Aug 202410.2% of 88 movements
Sep 202418.1% of 83 movements
Oct 202418.3% of 82 movements
Nov 20249.6% of 73 movements
Dec 202418.1% of 72 movements
Jan 202523.2% of 69 movements
Feb 202512.5% of 64 movements
Mar 202510.5% of 76 movements
Apr 202516.4% of 73 movements
May 202510.0% of 80 movements
Jun 202511.5% of 78 movements
Jul 202517.9% of 78 movements
Aug 202524.7% of 81 movements
Sep 202517.6% of 68 movements
Oct 202517.4% of 69 movements
Nov 202524.6% of 57 movements
Dec 202540.0% of 60 movements
Jan 202621.0% of 62 movements
Feb 202617.5% of 57 movements
Mar 202623.4% of 64 movements
Apr 202613.3% of 90 movements
May 202620.4% of 98 movements
Jun 202613.8% of 94 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 2022Arrivals25.3% of 79 movements33.0% across 387 flightsreturned after 2 months
Summer 2022 breakdown · Jul 2022Departures37.7% of 77 movements29.9% across 392 flightsreturned after 5 months
NATS system failure · Aug 2023Arrivals31.0% of 58 movements20.8% across 809 flightsreturned after 3 months
NATS system failure · Aug 2023Departures34.5% of 58 movements27.5% across 810 flightsreturned after 3 months
Heathrow fire closure · Mar 2025Arrivals10.5% of 76 movements13.9% across 869 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Departures9.2% of 76 movements18.0% across 868 flightsreturned after 2 months
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?

November has historically been the hardest month on this route: in a typical November, 19.0% of arrivals were disrupted, measured across 6 Novembers in the archive. May has been the calmest, at 10.3% across 7 Mays.

Even November has ranged from 5.4% to 25.3% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201913.4% of 67 movements17.4% of 69 movements12.7% of 79 movements10.7% of 75 movements9.8% of 82 movements15.9% of 82 movements10.8% of 83 movements11.8% of 85 movements19.0% of 79 movements11.5% of 78 movements23.1% of 65 movements23.9% of 71 movements20208.3% of 60 movements9.7% of 62 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements4.3% of 23 movements †23.8% of 21 movements †16.7% of 36 movements †3.6% of 28 movements †8.3% of 24 movements †14.3% of 21 movements †2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements36.4% of 22 movements †40.0% of 25 movements †55.6% of 27 movements †50.0% of 26 movements †31.8% of 44 movements †7.9% of 38 movements †20.7% of 29 movements †20223.7% of 27 movements †30.8% of 26 movements †3.7% of 27 movements †35.7% of 28 movements †48.6% of 37 movements †67.9% of 53 movements25.3% of 79 movements34.0% of 97 movements28.2% of 103 movements29.7% of 91 movements25.3% of 79 movements16.7% of 54 movements20233.4% of 58 movements4.0% of 50 movements12.3% of 57 movements9.1% of 55 movements28.1% of 57 movements32.7% of 52 movements26.8% of 56 movements31.0% of 58 movements32.7% of 55 movements24.1% of 58 movements5.4% of 56 movements14.3% of 70 movements202420.3% of 59 movements2.1% of 48 movements †10.3% of 58 movements12.5% of 56 movements10.3% of 58 movements14.3% of 77 movements9.0% of 89 movements10.2% of 88 movements18.1% of 83 movements18.3% of 82 movements9.6% of 73 movements18.1% of 72 movements202523.2% of 69 movements12.5% of 64 movements10.5% of 76 movements16.4% of 73 movements10.0% of 80 movements11.5% of 78 movements17.9% of 78 movements24.7% of 81 movements17.6% of 68 movements17.4% of 69 movements24.6% of 57 movements40.0% of 60 movements202621.0% of 62 movements17.5% of 57 movements23.4% of 64 movements13.3% of 90 movements20.4% of 98 movements13.8% of 94 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan13.4%3.4–23.2%7 months, 424 flights
Feb12.5%2.1–30.8%7 months, 391 flights
Mar12.3%3.7–23.4%7 months, 447 flights
Apr12.5%5.7–35.7%7 months, 464 flights
May10.3%7.8–48.6%7 months, 502 flights
Jun15.9%11.5–67.9%7 months, 526 flights
Jul14.4%9.0–26.8%6 months, 478 flights
Aug18.2%9.8–34.0%6 months, 501 flights
Sep18.5%14.1–32.7%6 months, 473 flights
Oct17.8%11.5–29.7%6 months, 467 flights
Nov19.0%5.4–25.3%6 months, 410 flights
Dec17.4%13.3–40.0%6 months, 402 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: Aer Lingus 20.3% of 798 movements, Emerald Airlines Uk 21.2% of 80 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 optionAer Lingus20.3% of 798 flightsEmerald Airlines Uk21.2% of 80 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Aer Lingus79820.3% of 798 movements2.3% of 798 movements0.5% of 798 movementsdescriptive comparison
Aurigny Air Servicessuppressed: 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
Emerald Airlines Uk8021.2% of 80 movementsno events in 80 movements1.2% of 80 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, LCY had the lowest disruption share at 13.1% of 765 movements and CWL the highest at 29.2% of 336 movements. This route sits at 20.4% of 878 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 optionAbz ↔ Belfast-City-George-Best16.7% of 252 flightsBhx ↔ Belfast-City-George-Best22.7% of 2,005 flightsBrs ↔ Belfast-City-George-Best22.1% of 190 flightsCwl ↔ Belfast-City-George-Best29.2% of 336 flightsEdi ↔ Belfast-City-George-Best26.8% of 1,241 flightsEma ↔ Belfast-City-George-Best17.7% of 294 flightsExt ↔ Belfast-City-George-Best21.6% of 97 flightsGla ↔ Belfast-City-George-Best26.8% of 645 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Belfast-City-George-Best25216.7% of 252 movements1.6% of 252 movements0.8% of 252 movementsdescriptive comparison
Bfs ↔ Belfast-City-George-Bestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Belfast-City-George-Best2,00522.7% of 2,005 movements3.7% of 2,005 movements0.9% of 2,005 movementsdescriptive comparison
Boh ↔ Belfast-City-George-Bestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Belfast-City-George-Best19022.1% of 190 movements0.5% of 190 movementsno events in 190 movementsdescriptive comparison
Cwl ↔ Belfast-City-George-Best33629.2% of 336 movements1.5% of 336 movements1.2% of 336 movementsdescriptive comparison
Doncaster-Sheffield ↔ Belfast-City-George-Bestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Belfast-City-George-Best1,24126.8% of 1,241 movements2.6% of 1,241 movements1.2% of 1,241 movementsdescriptive comparison
Ema ↔ Belfast-City-George-Best29417.7% of 294 movements1.0% of 294 movements0.7% of 294 movementsdescriptive comparison
Ext ↔ Belfast-City-George-Best9721.6% of 97 movements1.0% of 97 movements1.0% of 97 movementsdescriptive comparison
Gla ↔ Belfast-City-George-Best64526.8% of 645 movements1.4% of 645 movements1.6% of 645 movementsdescriptive comparison
Iom ↔ Belfast-City-George-Bestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jer ↔ Belfast-City-George-Bestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Belfast-City-George-Best1,16623.7% of 1,166 movements3.7% of 1,166 movements0.6% of 1,166 movementsdescriptive comparison
Lcy ↔ Belfast-City-George-Best76513.1% of 765 movements2.0% of 765 movements0.1% of 765 movementsdescriptive comparison
Lgw ↔ Belfast-City-George-Best1,03119.7% of 1,031 movements0.2% of 1,031 movements0.4% of 1,031 movementsdescriptive comparison
Lhr ↔ Belfast-City-George-Best2,27017.9% of 2,270 movements1.4% of 2,270 movements0.2% of 2,270 movementsdescriptive comparison
Lpl ↔ Belfast-City-George-Best40415.3% of 404 movements1.0% of 404 movements0.2% of 404 movementsdescriptive comparison
Ltn ↔ Belfast-City-George-Best32422.2% of 324 movements0.3% of 324 movementsno events in 324 movementsdescriptive comparison
Man ↔ Belfast-City-George-Best1,62826.1% of 1,628 movements2.1% of 1,628 movements1.2% of 1,628 movementsdescriptive comparison
Mme ↔ Belfast-City-George-Bestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ Belfast-City-George-Bestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sen ↔ Belfast-City-George-Bestsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Belfast-City-George-Bestsuppressed: 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 SOU ran 20.4% of 878 movements disrupted, departures 23.5% of 879 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 SOU20.4% of 878 movements2.1% of 878 movements0.6% of 878 movements
Departures from SOU23.5% of 879 movements2.5% of 879 movements0.7% of 879 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 202622 flights out of 6,02922 × £220 = £4,840
ArrivalsLast 72 months · Jul 2020–Jun 202617 flights out of 3,95917 × £220 = £3,740
DeparturesWhole archive · Jan 2018–Jun 202626 flights out of 6,03126 × £220 = £5,720
DeparturesLast 72 months · Jul 2020–Jun 202622 flights out of 3,96622 × £220 = £4,840
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 airportSOUTHAMPTON · SOU
Final point / countryBELFAST CITY (GEORGE BEST) / UNITED KINGDOM
Final point codesBHD / EGAC
Great-circle distance508 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 archive98

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: 878; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

20.4% of 878 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

2.1% of 878 movements in the same window.

How many delays crossed three hours?

0.6% of 878 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?

508 km, great-circle.

Can compensation entitlement be established here?

No. The cause and the circumstances of an individual flight are unknown. Official CAA conditions.

Why do some cells say "no data"?

That month is absent from the published series. Small cells carry a separate "suppressed" marker; a gap is never replaced by a zero.

How this was calculated

Dataset version, input hashes and reconstruction rules

Dataset version: 396da8dde2874f14; method route-record-v2.1.

Versioned register of every number and the entity map · Input hashes · Correction log · Reconstruction and formulas.

Reconstruction: integer counts inside the rounding bounds of shares of D, summing to M. Ambiguity is preserved as a range of feasible counts; non-convergence stays in quarantine. The map of codes and coordinates is pinned by hash alongside the data. Raw CSV files are not included in the published output.

Your trip has already gone wrong — what now?

The official route to complain

Contact the airline first, then the relevant ADR body or the CAA. The right to care is assessed separately from compensation; time limits and circumstances are checked case by case. CAA: how to complain.

Reconstruction and formulas

Open the versioned claim register

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