UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

SOU ↔ GUERNSEY

In the twelve months from July 2025 to June 2026, 28.1% of 1,014 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, 71.9% of 1,014 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 92 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, 28.1% of 1,014 movements were disrupted and 6.8% of 1,014 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
28.1% of 1,014 movements6.8% of 1,014 movements31.8–73.6 min; N of delayed flights=216–4701,014
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: 6.8% of 1,014 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 min21.3%30 min14.8%60 min7.6%120 min3.3%180 min1.1%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min21.3% of 1,014 movements2164.7
>30 min14.8% of 1,014 movements1506.8
>60 min7.6% of 1,014 movements7713.2
>120 min3.3% of 1,014 movements3330.7
>180 min1.1% of 1,014 movements1192.2
>360 minno events in 1,014 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?

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 early595.8%15–1 early41641.0%0–15 late25425.0%16–30666.5%31–60737.2%61…120444.3%121…180222.2%181…360111.1%>36000.0%D=1,014
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0791; 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: Apr 2026, 4.5% of 88 movements. Worst month: Sep 2025, 49.5% of 99 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: 22.6%; sample: 842018Feb 2018: 29.3%; sample: 82Mar 2018: 16.5%; sample: 97Apr 2018: 10.3%; sample: 107May 2018: 8.6%; sample: 128Jun 2018: 10.3%; sample: 126Jul 2018: 6.2%; sample: 128Aug 2018: 11.6%; sample: 129Sep 2018: 7.2%; sample: 125Oct 2018: 13.6%; sample: 125Nov 2018: 17.9%; sample: 106Dec 2018: 23.3%; sample: 86Jan 2019: 12.1%; sample: 582019Feb 2019: 21.2%; sample: 80Mar 2019: 9.5%; sample: 95Apr 2019: 12.9%; sample: 124May 2019: 9.6%; sample: 135Jun 2019: 21.6%; sample: 176Jul 2019: 32.6%; sample: 184Aug 2019: 28.4%; sample: 183Sep 2019: 24.9%; sample: 177Oct 2019: 12.0%; sample: 183Nov 2019: 15.7%; sample: 159Dec 2019: 21.5%; sample: 130Jan 2020: 18.7%; sample: 1392020Feb 2020: 26.6%; sample: 143Mar 2020: suppressed: fewer than twenty movements×Apr 2020: 25.0%; sample: 28May 2020: 4.8%; sample: 21Jun 2020: 9.1%; sample: 22Jul 2020: 10.7%; sample: 28Aug 2020: 17.2%; sample: 29Sep 2020: 23.9%; sample: 46Oct 2020: 5.6%; sample: 54Nov 2020: 2.8%; sample: 36Dec 2020: 13.3%; sample: 30Jan 2021: 15.0%; sample: 202021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: 67.7%; sample: 31Apr 2021: 4.5%; sample: 22May 2021: 12.0%; sample: 25Jun 2021: 3.2%; sample: 31Jul 2021: 11.6%; sample: 69Aug 2021: 23.8%; sample: 63Sep 2021: 25.0%; sample: 60Oct 2021: 38.5%; sample: 65Nov 2021: 17.8%; sample: 90Dec 2021: 25.6%; sample: 86Jan 2022: 11.6%; sample: 862022Feb 2022: 22.8%; sample: 79Mar 2022: 8.4%; sample: 95Apr 2022: 18.9%; sample: 95May 2022: 20.4%; sample: 98Jun 2022: 31.6%; sample: 98Jul 2022: 17.5%; sample: 103Aug 2022: 28.2%; sample: 103Sep 2022: 27.7%; sample: 101Oct 2022: 15.5%; sample: 97Nov 2022: 9.5%; sample: 84Dec 2022: 31.9%; sample: 69Jan 2023: 13.6%; sample: 662023Feb 2023: 9.4%; sample: 64Mar 2023: 20.5%; sample: 83Apr 2023: 9.1%; sample: 99May 2023: 11.7%; sample: 103Jun 2023: 18.1%; sample: 105Jul 2023: 33.6%; sample: 110Aug 2023: 30.3%; sample: 109Sep 2023: 19.2%; sample: 104Oct 2023: 18.4%; sample: 98Nov 2023: 18.2%; sample: 88Dec 2023: 47.2%; sample: 72Jan 2024: 19.7%; sample: 662024Feb 2024: 29.4%; sample: 68Mar 2024: 29.2%; sample: 72Apr 2024: 30.0%; sample: 100May 2024: 45.7%; sample: 105Jun 2024: 32.7%; sample: 110Jul 2024: 25.9%; sample: 112Aug 2024: 26.6%; sample: 109Sep 2024: 35.2%; sample: 105Oct 2024: 16.5%; sample: 97Nov 2024: 25.0%; sample: 92Dec 2024: 34.9%; sample: 83Jan 2025: 31.3%; sample: 672025Feb 2025: 23.1%; sample: 65Mar 2025: 20.8%; sample: 72Apr 2025: 35.1%; sample: 97May 2025: 40.0%; sample: 100Jun 2025: 38.3%; sample: 94Jul 2025: 34.0%; sample: 100Aug 2025: 25.5%; sample: 106Sep 2025: 49.5%; sample: 99Oct 2025: 21.3%; sample: 94Nov 2025: 22.9%; sample: 83Dec 2025: 34.3%; sample: 67Jan 2026: 30.8%; sample: 652026Feb 2026: 21.7%; sample: 60Mar 2026: 14.9%; sample: 67Apr 2026: 4.5%; sample: 88May 2026: 28.3%; sample: 92Jun 2026: 43.0%; sample: 93Pandemic 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 201822.6% of 84 movements
Feb 201829.3% of 82 movements
Mar 201816.5% of 97 movements
Apr 201810.3% of 107 movements
May 20188.6% of 128 movements
Jun 201810.3% of 126 movements
Jul 20186.2% of 128 movements
Aug 201811.6% of 129 movements
Sep 20187.2% of 125 movements
Oct 201813.6% of 125 movements
Nov 201817.9% of 106 movements
Dec 201823.3% of 86 movements
Jan 201912.1% of 58 movements
Feb 201921.2% of 80 movements
Mar 20199.5% of 95 movements
Apr 201912.9% of 124 movements
May 20199.6% of 135 movements
Jun 201921.6% of 176 movements
Jul 201932.6% of 184 movements
Aug 201928.4% of 183 movements
Sep 201924.9% of 177 movements
Oct 201912.0% of 183 movements
Nov 201915.7% of 159 movements
Dec 201921.5% of 130 movements
Jan 202018.7% of 139 movements
Feb 202026.6% of 143 movements
Mar 2020suppressed: fewer than twenty movements
Apr 202025.0% of 28 movements — small sample, not ranked
May 20204.8% of 21 movements — small sample, not ranked
Jun 20209.1% of 22 movements — small sample, not ranked
Jul 202010.7% of 28 movements — small sample, not ranked
Aug 202017.2% of 29 movements — small sample, not ranked
Sep 202023.9% of 46 movements — small sample, not ranked
Oct 20205.6% of 54 movements
Nov 20202.8% of 36 movements — small sample, not ranked
Dec 202013.3% of 30 movements — small sample, not ranked
Jan 202115.0% of 20 movements — small sample, not ranked
Feb 2021suppressed: fewer than twenty movements
Mar 202167.7% of 31 movements — small sample, not ranked
Apr 20214.5% of 22 movements — small sample, not ranked
May 202112.0% of 25 movements — small sample, not ranked
Jun 20213.2% of 31 movements — small sample, not ranked
Jul 202111.6% of 69 movements
Aug 202123.8% of 63 movements
Sep 202125.0% of 60 movements
Oct 202138.5% of 65 movements
Nov 202117.8% of 90 movements
Dec 202125.6% of 86 movements
Jan 202211.6% of 86 movements
Feb 202222.8% of 79 movements
Mar 20228.4% of 95 movements
Apr 202218.9% of 95 movements
May 202220.4% of 98 movements
Jun 202231.6% of 98 movements
Jul 202217.5% of 103 movements
Aug 202228.2% of 103 movements
Sep 202227.7% of 101 movements
Oct 202215.5% of 97 movements
Nov 20229.5% of 84 movements
Dec 202231.9% of 69 movements
Jan 202313.6% of 66 movements
Feb 20239.4% of 64 movements
Mar 202320.5% of 83 movements
Apr 20239.1% of 99 movements
May 202311.7% of 103 movements
Jun 202318.1% of 105 movements
Jul 202333.6% of 110 movements
Aug 202330.3% of 109 movements
Sep 202319.2% of 104 movements
Oct 202318.4% of 98 movements
Nov 202318.2% of 88 movements
Dec 202347.2% of 72 movements
Jan 202419.7% of 66 movements
Feb 202429.4% of 68 movements
Mar 202429.2% of 72 movements
Apr 202430.0% of 100 movements
May 202445.7% of 105 movements
Jun 202432.7% of 110 movements
Jul 202425.9% of 112 movements
Aug 202426.6% of 109 movements
Sep 202435.2% of 105 movements
Oct 202416.5% of 97 movements
Nov 202425.0% of 92 movements
Dec 202434.9% of 83 movements
Jan 202531.3% of 67 movements
Feb 202523.1% of 65 movements
Mar 202520.8% of 72 movements
Apr 202535.1% of 97 movements
May 202540.0% of 100 movements
Jun 202538.3% of 94 movements
Jul 202534.0% of 100 movements
Aug 202525.5% of 106 movements
Sep 202549.5% of 99 movements
Oct 202521.3% of 94 movements
Nov 202522.9% of 83 movements
Dec 202534.3% of 67 movements
Jan 202630.8% of 65 movements
Feb 202621.7% of 60 movements
Mar 202614.9% of 67 movements
Apr 20264.5% of 88 movements
May 202628.3% of 92 movements
Jun 202643.0% of 93 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 2020Arrivals9.1% of 22 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departures59.1% of 22 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals17.5% of 103 movements21.3% across 984 flightsreturned after 3 months
Summer 2022 breakdown · Jul 2022Departures24.5% of 102 movements32.7% across 982 flightsreturned after 2 months
NATS system failure · Aug 2023Arrivals30.3% of 109 movements19.1% across 1,084 flightsreturned after 2 months
NATS system failure · Aug 2023Departures33.3% of 108 movements20.3% across 1,091 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals20.8% of 72 movements29.7% across 1,117 flightsreturned after 5 months
Heathrow fire closure · Mar 2025Departures15.1% of 73 movements31.1% across 1,129 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?

December has historically been the hardest month on this route: in a typical December, 33.1% of arrivals were disrupted, measured across 6 Decembers in the archive. April has been the calmest, at 12.9% across 7 Aprils.

Even December has ranged from 21.5% to 47.2% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201912.1% of 58 movements21.2% of 80 movements9.5% of 95 movements12.9% of 124 movements9.6% of 135 movements21.6% of 176 movements32.6% of 184 movements28.4% of 183 movements24.9% of 177 movements12.0% of 183 movements15.7% of 159 movements21.5% of 130 movements202018.7% of 139 movements26.6% of 143 movementssuppressed: fewer than twenty movements25.0% of 28 movements †4.8% of 21 movements †9.1% of 22 movements †10.7% of 28 movements †17.2% of 29 movements †23.9% of 46 movements †5.6% of 54 movements2.8% of 36 movements †13.3% of 30 movements †202115.0% of 20 movements †suppressed: fewer than twenty movements67.7% of 31 movements †4.5% of 22 movements †12.0% of 25 movements †3.2% of 31 movements †11.6% of 69 movements23.8% of 63 movements25.0% of 60 movements38.5% of 65 movements17.8% of 90 movements25.6% of 86 movements202211.6% of 86 movements22.8% of 79 movements8.4% of 95 movements18.9% of 95 movements20.4% of 98 movements31.6% of 98 movements17.5% of 103 movements28.2% of 103 movements27.7% of 101 movements15.5% of 97 movements9.5% of 84 movements31.9% of 69 movements202313.6% of 66 movements9.4% of 64 movements20.5% of 83 movements9.1% of 99 movements11.7% of 103 movements18.1% of 105 movements33.6% of 110 movements30.3% of 109 movements19.2% of 104 movements18.4% of 98 movements18.2% of 88 movements47.2% of 72 movements202419.7% of 66 movements29.4% of 68 movements29.2% of 72 movements30.0% of 100 movements45.7% of 105 movements32.7% of 110 movements25.9% of 112 movements26.6% of 109 movements35.2% of 105 movements16.5% of 97 movements25.0% of 92 movements34.9% of 83 movements202531.3% of 67 movements23.1% of 65 movements20.8% of 72 movements35.1% of 97 movements40.0% of 100 movements38.3% of 94 movements34.0% of 100 movements25.5% of 106 movements49.5% of 99 movements21.3% of 94 movements22.9% of 83 movements34.3% of 67 movements202630.8% of 65 movements21.7% of 60 movements14.9% of 67 movements4.5% of 88 movements28.3% of 92 movements43.0% of 93 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan19.7%11.6–31.3%7 months, 492 flights
Feb22.8%9.4–29.4%7 months, 498 flights
Mar16.5%8.4–29.2%7 months, 581 flights
Apr12.9%4.5–35.1%7 months, 710 flights
May20.4%8.6–45.7%7 months, 761 flights
Jun31.6%10.3–43.0%7 months, 802 flights
Jul29.3%6.2–34.0%6 months, 737 flights
Aug27.4%11.6–30.3%6 months, 739 flights
Sep26.3%7.2–49.5%6 months, 711 flights
Oct16.0%12.0–21.3%6 months, 694 flights
Nov18.1%9.5–25.0%6 months, 612 flights
Dec33.1%21.5–47.2%6 months, 507 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: Aurigny Air Services 22.8% of 705 movements, Blue Islands 39.9% of 306 movements. Observed shares differ; the mix of operations is not matched, so no causal conclusion follows.

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 optionAurigny Air Services22.8% of 705 flightsBlue Islands39.9% of 306 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Aurigny Air Services70522.8% of 705 movements6.5% of 705 movements0.4% of 705 movementsdescriptive comparison
Blue Islands30639.9% of 306 movements7.5% of 306 movements2.6% of 306 movementsdescriptive comparison
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
Titan Airwayssuppressed: 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, LBA had the lowest disruption share at 11.1% of 36 movements — small sample, not ranked and EXT the highest at 42.4% of 245 movements. This route sits at 28.1% of 1,014 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 optionBhx ↔ Guernsey16.5% of 328 flightsBrs ↔ Guernsey29.9% of 344 flightsEdi ↔ Guernsey35.7% of 56 flightsExt ↔ Guernsey42.4% of 245 flightsJer ↔ Guernsey26.2% of 985 flightsLba ↔ Guernsey †11.1% of 36 flightsLcy ↔ Guernsey20.4% of 506 flightsLgw ↔ Guernsey26.0% of 2,169 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Guernseysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Guernseysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Guernsey32816.5% of 328 movements2.1% of 328 movements1.5% of 328 movementsdescriptive comparison
Boh ↔ Guernseysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Guernsey34429.9% of 344 movements5.2% of 344 movements0.9% of 344 movementsdescriptive comparison
Cwl ↔ Guernseysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Guernsey5635.7% of 56 movements7.1% of 56 movementsno events in 56 movementsdescriptive comparison
Ema ↔ Guernseysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Guernsey24542.4% of 245 movements5.3% of 245 movements0.8% of 245 movementsdescriptive comparison
Gla ↔ Guernseysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Iom ↔ Guernseysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jer ↔ Guernsey98526.2% of 985 movements2.9% of 985 movements1.3% of 985 movementsdescriptive comparison
Lba ↔ Guernsey3611.1% of 36 movements — small sample, not ranked2.8% of 36 movements — small sample, not rankedno events in 36 movements — small sample, not rankedsmall sample; not ranked
Lcy ↔ Guernsey50620.4% of 506 movements6.1% of 506 movements0.2% of 506 movementsdescriptive comparison
Lgw ↔ Guernsey2,16926.0% of 2,169 movements2.4% of 2,169 movements0.6% of 2,169 movementsdescriptive comparison
Lhr ↔ Guernsey7326.0% of 73 movements1.4% of 73 movements1.4% of 73 movementsdescriptive comparison
Lpl ↔ Guernseysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Guernseysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Guernsey61521.5% of 615 movements2.8% of 615 movements1.3% of 615 movementsdescriptive comparison
Mme ↔ Guernseysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ Guernseysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sen ↔ Guernseysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Guernseysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

Does the direction you are flying change anything?

Barely: arrivals into SOU ran 28.1% of 1,014 movements disrupted, departures 30.0% of 1,020 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 SOU28.1% of 1,014 movements6.8% of 1,014 movements1.1% of 1,014 movements
Departures from SOU30.0% of 1,020 movements7.2% of 1,020 movements1.4% of 1,020 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 202676 flights out of 9,00076 × £220 = £16,720
ArrivalsLast 72 months · Jul 2020–Jun 202654 flights out of 5,64054 × £220 = £11,880
DeparturesWhole archive · Jan 2018–Jun 202699 flights out of 9,06799 × £220 = £21,780
DeparturesLast 72 months · Jul 2020–Jun 202666 flights out of 5,66666 × £220 = £14,520
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 / countryGUERNSEY / UNITED KINGDOM
Final point codesGCI / EGJB
Great-circle distance190 km
Maximum statutory amount for the band£220
Average operated arrivals per day2.59
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: 1,014; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

28.1% of 1,014 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

6.8% of 1,014 movements in the same window.

How many delays crossed three hours?

1.1% of 1,014 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?

190 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

We'll email you once; unsubscribe any time.

Related records