UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

SOU ↔ JERSEY

In the twelve months from July 2025 to June 2026, 19.6% of 980 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, 80.4% of 980 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 98 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, 19.6% of 980 movements were disrupted and 2.8% of 980 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
19.6% of 980 movements2.8% of 980 movements30.3–69.1 min; N of delayed flights=165–345980
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: 2.8% of 980 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 min16.8%30 min10.9%60 min5.0%120 min1.7%180 min1.0%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min16.8% of 980 movements1655.9
>30 min10.9% of 980 movements1079.2
>60 min5.0% of 980 movements4920.0
>120 min1.7% of 980 movements1757.6
>180 min1.0% of 980 movements1098.0
>360 minno events in 980 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 early17317.7%15–1 early43544.4%0–15 late18018.4%16–30585.9%31–60585.9%61…120323.3%121…18070.7%181…360101.0%>36000.0%D=980
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0862; 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: Oct 2020, 1.6% of 63 movements. Worst month: May 2025, 48.3% of 89 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: 28.2%; sample: 1422018Feb 2018: 20.1%; sample: 134Mar 2018: 26.0%; sample: 146Apr 2018: 12.9%; sample: 147May 2018: 16.6%; sample: 151Jun 2018: 18.2%; sample: 143Jul 2018: 29.7%; sample: 148Aug 2018: 30.8%; sample: 146Sep 2018: 22.7%; sample: 141Oct 2018: 26.2%; sample: 141Nov 2018: 16.0%; sample: 131Dec 2018: 41.5%; sample: 130Jan 2019: 17.2%; sample: 1222019Feb 2019: 48.2%; sample: 114Mar 2019: 23.5%; sample: 136Apr 2019: 14.2%; sample: 134May 2019: 10.8%; sample: 139Jun 2019: 17.5%; sample: 143Jul 2019: 21.4%; sample: 154Aug 2019: 26.9%; sample: 156Sep 2019: 19.1%; sample: 152Oct 2019: 26.5%; sample: 151Nov 2019: 16.9%; sample: 130Dec 2019: 18.4%; sample: 125Jan 2020: 11.8%; sample: 1022020Feb 2020: 20.5%; sample: 117Mar 2020: suppressed: fewer than twenty movements×Apr 2020: 0.0%; sample: 21May 2020: suppressed: fewer than twenty movements×Jun 2020: 27.3%; sample: 22Jul 2020: 0.0%; sample: 28Aug 2020: 3.1%; sample: 32Sep 2020: 3.6%; sample: 55Oct 2020: 1.6%; sample: 63Nov 2020: 3.8%; sample: 26Dec 2020: 2.9%; sample: 35Jan 2021: 7.7%; sample: 262021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: suppressed: fewer than twenty movements×May 2021: 4.7%; sample: 43Jun 2021: 17.3%; sample: 52Jul 2021: 9.5%; sample: 63Aug 2021: 10.2%; sample: 88Sep 2021: 15.9%; sample: 82Oct 2021: 13.1%; sample: 84Nov 2021: 19.8%; sample: 91Dec 2021: 26.7%; sample: 86Jan 2022: 16.7%; sample: 662022Feb 2022: 23.6%; sample: 72Mar 2022: 11.5%; sample: 87Apr 2022: 15.2%; sample: 92May 2022: 21.3%; sample: 94Jun 2022: 22.3%; sample: 94Jul 2022: 25.5%; sample: 98Aug 2022: 24.5%; sample: 98Sep 2022: 28.1%; sample: 96Oct 2022: 12.4%; sample: 97Nov 2022: 3.2%; sample: 94Dec 2022: 26.4%; sample: 87Jan 2023: 10.0%; sample: 802023Feb 2023: 12.7%; sample: 79Mar 2023: 13.1%; sample: 99Apr 2023: 20.2%; sample: 94May 2023: 18.6%; sample: 97Jun 2023: 15.4%; sample: 104Jul 2023: 34.0%; sample: 106Aug 2023: 31.1%; sample: 106Sep 2023: 25.3%; sample: 95Oct 2023: 15.6%; sample: 96Nov 2023: 15.1%; sample: 86Dec 2023: 14.5%; sample: 83Jan 2024: 19.5%; sample: 772024Feb 2024: 18.3%; sample: 82Mar 2024: 13.3%; sample: 90Apr 2024: 14.3%; sample: 91May 2024: 35.7%; sample: 98Jun 2024: 28.4%; sample: 95Jul 2024: 14.4%; sample: 97Aug 2024: 21.4%; sample: 98Sep 2024: 41.5%; sample: 94Oct 2024: 20.4%; sample: 98Nov 2024: 28.2%; sample: 85Dec 2024: 23.1%; sample: 78Jan 2025: 31.9%; sample: 722025Feb 2025: 17.6%; sample: 68Mar 2025: 17.7%; sample: 79Apr 2025: 44.8%; sample: 87May 2025: 48.3%; sample: 89Jun 2025: 34.4%; sample: 90Jul 2025: 27.2%; sample: 92Aug 2025: 25.5%; sample: 94Sep 2025: 31.5%; sample: 89Oct 2025: 14.0%; sample: 93Nov 2025: 21.3%; sample: 94Dec 2025: 23.7%; sample: 76Jan 2026: 22.6%; sample: 622026Feb 2026: 19.3%; sample: 57Mar 2026: 12.9%; sample: 85Apr 2026: 8.1%; sample: 74May 2026: 6.3%; sample: 79Jun 2026: 20.0%; sample: 85Pandemic 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 201828.2% of 142 movements
Feb 201820.1% of 134 movements
Mar 201826.0% of 146 movements
Apr 201812.9% of 147 movements
May 201816.6% of 151 movements
Jun 201818.2% of 143 movements
Jul 201829.7% of 148 movements
Aug 201830.8% of 146 movements
Sep 201822.7% of 141 movements
Oct 201826.2% of 141 movements
Nov 201816.0% of 131 movements
Dec 201841.5% of 130 movements
Jan 201917.2% of 122 movements
Feb 201948.2% of 114 movements
Mar 201923.5% of 136 movements
Apr 201914.2% of 134 movements
May 201910.8% of 139 movements
Jun 201917.5% of 143 movements
Jul 201921.4% of 154 movements
Aug 201926.9% of 156 movements
Sep 201919.1% of 152 movements
Oct 201926.5% of 151 movements
Nov 201916.9% of 130 movements
Dec 201918.4% of 125 movements
Jan 202011.8% of 102 movements
Feb 202020.5% of 117 movements
Mar 2020suppressed: fewer than twenty movements
Apr 2020no events in 21 movements — small sample, not ranked
May 2020suppressed: fewer than twenty movements
Jun 202027.3% of 22 movements — small sample, not ranked
Jul 2020no events in 28 movements — small sample, not ranked
Aug 20203.1% of 32 movements — small sample, not ranked
Sep 20203.6% of 55 movements
Oct 20201.6% of 63 movements
Nov 20203.8% of 26 movements — small sample, not ranked
Dec 20202.9% of 35 movements — small sample, not ranked
Jan 20217.7% of 26 movements — small sample, not ranked
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 2021suppressed: fewer than twenty movements
May 20214.7% of 43 movements — small sample, not ranked
Jun 202117.3% of 52 movements
Jul 20219.5% of 63 movements
Aug 202110.2% of 88 movements
Sep 202115.9% of 82 movements
Oct 202113.1% of 84 movements
Nov 202119.8% of 91 movements
Dec 202126.7% of 86 movements
Jan 202216.7% of 66 movements
Feb 202223.6% of 72 movements
Mar 202211.5% of 87 movements
Apr 202215.2% of 92 movements
May 202221.3% of 94 movements
Jun 202222.3% of 94 movements
Jul 202225.5% of 98 movements
Aug 202224.5% of 98 movements
Sep 202228.1% of 96 movements
Oct 202212.4% of 97 movements
Nov 20223.2% of 94 movements
Dec 202226.4% of 87 movements
Jan 202310.0% of 80 movements
Feb 202312.7% of 79 movements
Mar 202313.1% of 99 movements
Apr 202320.2% of 94 movements
May 202318.6% of 97 movements
Jun 202315.4% of 104 movements
Jul 202334.0% of 106 movements
Aug 202331.1% of 106 movements
Sep 202325.3% of 95 movements
Oct 202315.6% of 96 movements
Nov 202315.1% of 86 movements
Dec 202314.5% of 83 movements
Jan 202419.5% of 77 movements
Feb 202418.3% of 82 movements
Mar 202413.3% of 90 movements
Apr 202414.3% of 91 movements
May 202435.7% of 98 movements
Jun 202428.4% of 95 movements
Jul 202414.4% of 97 movements
Aug 202421.4% of 98 movements
Sep 202441.5% of 94 movements
Oct 202420.4% of 98 movements
Nov 202428.2% of 85 movements
Dec 202423.1% of 78 movements
Jan 202531.9% of 72 movements
Feb 202517.6% of 68 movements
Mar 202517.7% of 79 movements
Apr 202544.8% of 87 movements
May 202548.3% of 89 movements
Jun 202534.4% of 90 movements
Jul 202527.2% of 92 movements
Aug 202525.5% of 94 movements
Sep 202531.5% of 89 movements
Oct 202514.0% of 93 movements
Nov 202521.3% of 94 movements
Dec 202523.7% of 76 movements
Jan 202622.6% of 62 movements
Feb 202619.3% of 57 movements
Mar 202612.9% of 85 movements
Apr 20268.1% of 74 movements
May 20266.3% of 79 movements
Jun 202620.0% of 85 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 2020Arrivals27.3% of 22 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departures77.3% of 22 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals25.5% of 98 movements17.2% across 999 flightsreturned after 3 months
Summer 2022 breakdown · Jul 2022Departures35.7% of 98 movements23.3% across 1,001 flightsreturned after 3 months
NATS system failure · Aug 2023Arrivals31.1% of 106 movements18.2% across 1,131 flightsreturned after 2 months
NATS system failure · Aug 2023Departures31.4% of 105 movements22.8% across 1,127 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals17.7% of 79 movements24.2% across 1,064 flightsreturned after 7 months
Heathrow fire closure · Mar 2025Departures20.3% of 79 movements29.0% across 1,073 flightsreturned after 4 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?

September has historically been the hardest month on this route: in a typical September, 26.7% of arrivals were disrupted, measured across 6 Septembers in the archive. March has been the calmest, at 13.3% across 7 Marchs.

Even September has ranged from 19.1% to 41.5% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201917.2% of 122 movements48.2% of 114 movements23.5% of 136 movements14.2% of 134 movements10.8% of 139 movements17.5% of 143 movements21.4% of 154 movements26.9% of 156 movements19.1% of 152 movements26.5% of 151 movements16.9% of 130 movements18.4% of 125 movements202011.8% of 102 movements20.5% of 117 movementssuppressed: fewer than twenty movementsno events in 21 movements †suppressed: fewer than twenty movements27.3% of 22 movements †no events in 28 movements †3.1% of 32 movements †3.6% of 55 movements1.6% of 63 movements3.8% of 26 movements †2.9% of 35 movements †20217.7% of 26 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements4.7% of 43 movements †17.3% of 52 movements9.5% of 63 movements10.2% of 88 movements15.9% of 82 movements13.1% of 84 movements19.8% of 91 movements26.7% of 86 movements202216.7% of 66 movements23.6% of 72 movements11.5% of 87 movements15.2% of 92 movements21.3% of 94 movements22.3% of 94 movements25.5% of 98 movements24.5% of 98 movements28.1% of 96 movements12.4% of 97 movements3.2% of 94 movements26.4% of 87 movements202310.0% of 80 movements12.7% of 79 movements13.1% of 99 movements20.2% of 94 movements18.6% of 97 movements15.4% of 104 movements34.0% of 106 movements31.1% of 106 movements25.3% of 95 movements15.6% of 96 movements15.1% of 86 movements14.5% of 83 movements202419.5% of 77 movements18.3% of 82 movements13.3% of 90 movements14.3% of 91 movements35.7% of 98 movements28.4% of 95 movements14.4% of 97 movements21.4% of 98 movements41.5% of 94 movements20.4% of 98 movements28.2% of 85 movements23.1% of 78 movements202531.9% of 72 movements17.6% of 68 movements17.7% of 79 movements44.8% of 87 movements48.3% of 89 movements34.4% of 90 movements27.2% of 92 movements25.5% of 94 movements31.5% of 89 movements14.0% of 93 movements21.3% of 94 movements23.7% of 76 movements202622.6% of 62 movements19.3% of 57 movements12.9% of 85 movements8.1% of 74 movements6.3% of 79 movements20.0% of 85 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan19.5%10.0–31.9%7 months, 621 flights
Feb19.3%12.7–48.2%7 months, 606 flights
Mar13.3%11.5–26.0%7 months, 722 flights
Apr14.3%8.1–44.8%7 months, 719 flights
May18.6%6.3–48.3%7 months, 747 flights
Jun20.0%15.4–34.4%7 months, 754 flights
Jul26.3%14.4–34.0%6 months, 695 flights
Aug26.2%21.4–31.1%6 months, 698 flights
Sep26.7%19.1–41.5%6 months, 667 flights
Oct18.0%12.4–26.5%6 months, 676 flights
Nov16.5%3.2–28.2%6 months, 620 flights
Dec23.4%14.5–41.5%6 months, 579 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: Loganair 15.9% of 558 movements, Blue Islands 24.4% of 422 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 optionBlue Islands24.4% of 422 flightsLoganair15.9% of 558 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
2 Excel Aviation The Blades Broadsword Scimitar Sabre And T2suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Aurigny Air Servicessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Blue Islands42224.4% of 422 movements4.0% of 422 movements0.9% of 422 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
Loganair55815.9% of 558 movements1.8% of 558 movements1.1% of 558 movementsdescriptive comparison
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, SEN had the lowest disruption share at 12.9% of 31 movements — small sample, not ranked and MAN the highest at 51.5% of 270 movements. This route sits at 19.6% of 980 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 optionBfs ↔ Jersey19.5% of 77 flightsBhx ↔ Jersey32.4% of 105 flightsBrs ↔ Jersey24.9% of 370 flightsEdi ↔ Jersey38.7% of 62 flightsEma ↔ Jersey23.2% of 181 flightsExt ↔ Jersey26.9% of 308 flightsGla ↔ Jersey22.8% of 158 flightsLba ↔ Jersey46.0% of 63 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Jerseysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Jersey7719.5% of 77 movementsno events in 77 movementsno events in 77 movementsdescriptive comparison
Bhd ↔ Jerseysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Jersey10532.4% of 105 movementsno events in 105 movements1.0% of 105 movementsdescriptive comparison
Boh ↔ Jerseysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Jersey37024.9% of 370 movements4.1% of 370 movements1.1% of 370 movementsdescriptive comparison
Cwl ↔ Jerseysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Jerseysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Durham-Tees-Valley ↔ Jerseysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Jersey6238.7% of 62 movements1.6% of 62 movementsno events in 62 movementsdescriptive comparison
Ema ↔ Jersey18123.2% of 181 movements1.1% of 181 movements1.1% of 181 movementsdescriptive comparison
Ext ↔ Jersey30826.9% of 308 movements1.6% of 308 movements1.0% of 308 movementsdescriptive comparison
Gla ↔ Jersey15822.8% of 158 movements1.3% of 158 movements0.6% of 158 movementsdescriptive comparison
Iom ↔ Jerseysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Jersey6346.0% of 63 movementsno events in 63 movementsno events in 63 movementsdescriptive comparison
Lcy ↔ Jerseysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Jersey2,01015.4% of 2,010 movements1.2% of 2,010 movements0.7% of 2,010 movementsdescriptive comparison
Lhr ↔ Jersey1,08318.2% of 1,083 movements1.2% of 1,083 movements0.6% of 1,083 movementsdescriptive comparison
Lpl ↔ Jersey32418.8% of 324 movements0.9% of 324 movements0.6% of 324 movementsdescriptive comparison
Ltn ↔ Jersey36426.4% of 364 movements0.5% of 364 movements1.4% of 364 movementsdescriptive comparison
Man ↔ Jersey27051.5% of 270 movements2.6% of 270 movements1.9% of 270 movementsdescriptive comparison
Mme ↔ Jerseysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ Jersey5639.3% of 56 movements5.4% of 56 movements1.8% of 56 movementsdescriptive comparison
Sen ↔ Jersey3112.9% of 31 movements — small sample, not rankedno events in 31 movements — small sample, not rankedno events in 31 movements — small sample, not rankedsmall sample; not ranked
Stn ↔ Jerseysuppressed: 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 19.6% of 980 movements disrupted, departures 22.3% of 981 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 SOU19.6% of 980 movements2.8% of 980 movements1.0% of 980 movements
Departures from SOU22.3% of 981 movements3.1% of 981 movements0.6% of 981 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 202658 flights out of 9,28558 × £220 = £12,760
ArrivalsLast 72 months · Jul 2020–Jun 202636 flights out of 5,65036 × £220 = £7,920
DeparturesWhole archive · Jan 2018–Jun 202666 flights out of 9,29366 × £220 = £14,520
DeparturesLast 72 months · Jul 2020–Jun 202645 flights out of 5,65945 × £220 = £9,900
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 / countryJERSEY / UNITED KINGDOM
Final point codesJER / EGJJ
Great-circle distance203 km
Maximum statutory amount for the band£220
Average operated arrivals per day2.61
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: 980; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

19.6% of 980 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

2.8% of 980 movements in the same window.

How many delays crossed three hours?

1.0% of 980 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?

203 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