UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

JER ↔ SOUTHAMPTON

In the twelve months from July 2025 to June 2026, 18.9% of 969 movements arriving into JER were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 81.1% of 969 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 162 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, 18.9% of 969 movements were disrupted and 1.8% of 969 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
18.9% of 969 movements1.8% of 969 movements30.6–68.6 min; N of delayed flights=166–341969
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: 1.8% of 969 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 min17.1%30 min11.8%60 min5.1%120 min1.3%180 min0.6%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min17.1% of 969 movements1665.8
>30 min11.8% of 969 movements1148.5
>60 min5.1% of 969 movements4919.8
>120 min1.3% of 969 movements1374.5
>180 min0.6% of 969 movements6161.5
>360 minno events in 969 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 early21922.6%15–1 early39240.5%0–15 late17518.1%16–30525.4%31–60656.7%61…120363.7%121…18070.7%181…36060.6%>36000.0%D=969
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0513; 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 62 movements. Worst month: May 2025, 47.8% of 90 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: 25.9%; sample: 1352018Feb 2018: 22.7%; sample: 132Mar 2018: 26.7%; sample: 131Apr 2018: 15.0%; sample: 133May 2018: 16.7%; sample: 150Jun 2018: 16.6%; sample: 145Jul 2018: 27.2%; sample: 147Aug 2018: 31.1%; sample: 148Sep 2018: 19.4%; sample: 139Oct 2018: 23.6%; sample: 140Nov 2018: 21.1%; sample: 128Dec 2018: 41.8%; sample: 122Jan 2019: 12.4%; sample: 972019Feb 2019: 45.8%; sample: 107Mar 2019: 18.8%; sample: 133Apr 2019: 16.4%; sample: 134May 2019: 14.1%; sample: 142Jun 2019: 18.2%; sample: 137Jul 2019: 17.0%; sample: 141Aug 2019: 18.2%; sample: 143Sep 2019: 10.9%; sample: 138Oct 2019: 21.6%; sample: 139Nov 2019: 18.3%; sample: 126Dec 2019: 20.8%; sample: 120Jan 2020: 13.1%; sample: 992020Feb 2020: 21.2%; sample: 113Mar 2020: 12.5%; sample: 72Apr 2020: 4.8%; sample: 21May 2020: suppressed: fewer than twenty movements×Jun 2020: 68.2%; sample: 22Jul 2020: 3.4%; sample: 29Aug 2020: 12.5%; sample: 32Sep 2020: 3.6%; sample: 56Oct 2020: 1.6%; sample: 62Nov 2020: 7.7%; sample: 26Dec 2020: 5.9%; sample: 34Jan 2021: 11.5%; sample: 262021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: suppressed: fewer than twenty movements×May 2021: 14.0%; sample: 43Jun 2021: 10.4%; sample: 48Jul 2021: 17.7%; sample: 62Aug 2021: 13.6%; sample: 88Sep 2021: 20.7%; sample: 82Oct 2021: 23.8%; sample: 84Nov 2021: 15.4%; sample: 91Dec 2021: 22.4%; sample: 85Jan 2022: 9.2%; sample: 652022Feb 2022: 25.0%; sample: 72Mar 2022: 11.6%; sample: 86Apr 2022: 27.2%; sample: 92May 2022: 20.2%; sample: 94Jun 2022: 30.9%; sample: 94Jul 2022: 29.6%; sample: 98Aug 2022: 28.9%; sample: 97Sep 2022: 26.3%; sample: 95Oct 2022: 14.4%; sample: 97Nov 2022: 5.3%; sample: 94Dec 2022: 31.4%; sample: 86Jan 2023: 13.8%; sample: 802023Feb 2023: 11.5%; sample: 78Mar 2023: 16.3%; sample: 98Apr 2023: 23.4%; sample: 94May 2023: 24.7%; sample: 97Jun 2023: 21.0%; sample: 105Jul 2023: 31.4%; sample: 105Aug 2023: 27.6%; sample: 105Sep 2023: 27.4%; sample: 95Oct 2023: 20.2%; sample: 99Nov 2023: 14.0%; sample: 86Dec 2023: 23.8%; sample: 84Jan 2024: 24.7%; sample: 772024Feb 2024: 22.9%; sample: 83Mar 2024: 20.0%; sample: 90Apr 2024: 16.5%; sample: 91May 2024: 37.4%; sample: 99Jun 2024: 27.7%; sample: 94Jul 2024: 14.3%; sample: 98Aug 2024: 27.6%; sample: 98Sep 2024: 41.9%; sample: 93Oct 2024: 16.0%; sample: 94Nov 2024: 32.9%; sample: 85Dec 2024: 30.4%; sample: 79Jan 2025: 35.2%; sample: 712025Feb 2025: 22.4%; sample: 67Mar 2025: 21.5%; sample: 79Apr 2025: 44.7%; sample: 85May 2025: 47.8%; sample: 90Jun 2025: 34.4%; sample: 90Jul 2025: 24.7%; sample: 93Aug 2025: 21.5%; sample: 93Sep 2025: 31.8%; sample: 88Oct 2025: 12.1%; sample: 91Nov 2025: 15.7%; sample: 89Dec 2025: 25.0%; sample: 76Jan 2026: 23.8%; sample: 632026Feb 2026: 17.9%; sample: 56Mar 2026: 13.3%; sample: 83Apr 2026: 4.1%; sample: 73May 2026: 10.1%; sample: 79Jun 2026: 24.7%; 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 201825.9% of 135 movements
Feb 201822.7% of 132 movements
Mar 201826.7% of 131 movements
Apr 201815.0% of 133 movements
May 201816.7% of 150 movements
Jun 201816.6% of 145 movements
Jul 201827.2% of 147 movements
Aug 201831.1% of 148 movements
Sep 201819.4% of 139 movements
Oct 201823.6% of 140 movements
Nov 201821.1% of 128 movements
Dec 201841.8% of 122 movements
Jan 201912.4% of 97 movements
Feb 201945.8% of 107 movements
Mar 201918.8% of 133 movements
Apr 201916.4% of 134 movements
May 201914.1% of 142 movements
Jun 201918.2% of 137 movements
Jul 201917.0% of 141 movements
Aug 201918.2% of 143 movements
Sep 201910.9% of 138 movements
Oct 201921.6% of 139 movements
Nov 201918.3% of 126 movements
Dec 201920.8% of 120 movements
Jan 202013.1% of 99 movements
Feb 202021.2% of 113 movements
Mar 202012.5% of 72 movements
Apr 20204.8% of 21 movements — small sample, not ranked
May 2020suppressed: fewer than twenty movements
Jun 202068.2% of 22 movements — small sample, not ranked
Jul 20203.4% of 29 movements — small sample, not ranked
Aug 202012.5% of 32 movements — small sample, not ranked
Sep 20203.6% of 56 movements
Oct 20201.6% of 62 movements
Nov 20207.7% of 26 movements — small sample, not ranked
Dec 20205.9% of 34 movements — small sample, not ranked
Jan 202111.5% 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 202114.0% of 43 movements — small sample, not ranked
Jun 202110.4% of 48 movements — small sample, not ranked
Jul 202117.7% of 62 movements
Aug 202113.6% of 88 movements
Sep 202120.7% of 82 movements
Oct 202123.8% of 84 movements
Nov 202115.4% of 91 movements
Dec 202122.4% of 85 movements
Jan 20229.2% of 65 movements
Feb 202225.0% of 72 movements
Mar 202211.6% of 86 movements
Apr 202227.2% of 92 movements
May 202220.2% of 94 movements
Jun 202230.9% of 94 movements
Jul 202229.6% of 98 movements
Aug 202228.9% of 97 movements
Sep 202226.3% of 95 movements
Oct 202214.4% of 97 movements
Nov 20225.3% of 94 movements
Dec 202231.4% of 86 movements
Jan 202313.8% of 80 movements
Feb 202311.5% of 78 movements
Mar 202316.3% of 98 movements
Apr 202323.4% of 94 movements
May 202324.7% of 97 movements
Jun 202321.0% of 105 movements
Jul 202331.4% of 105 movements
Aug 202327.6% of 105 movements
Sep 202327.4% of 95 movements
Oct 202320.2% of 99 movements
Nov 202314.0% of 86 movements
Dec 202323.8% of 84 movements
Jan 202424.7% of 77 movements
Feb 202422.9% of 83 movements
Mar 202420.0% of 90 movements
Apr 202416.5% of 91 movements
May 202437.4% of 99 movements
Jun 202427.7% of 94 movements
Jul 202414.3% of 98 movements
Aug 202427.6% of 98 movements
Sep 202441.9% of 93 movements
Oct 202416.0% of 94 movements
Nov 202432.9% of 85 movements
Dec 202430.4% of 79 movements
Jan 202535.2% of 71 movements
Feb 202522.4% of 67 movements
Mar 202521.5% of 79 movements
Apr 202544.7% of 85 movements
May 202547.8% of 90 movements
Jun 202534.4% of 90 movements
Jul 202524.7% of 93 movements
Aug 202521.5% of 93 movements
Sep 202531.8% of 88 movements
Oct 202512.1% of 91 movements
Nov 202515.7% of 89 movements
Dec 202525.0% of 76 movements
Jan 202623.8% of 63 movements
Feb 202617.9% of 56 movements
Mar 202613.3% of 83 movements
Apr 20264.1% of 73 movements
May 202610.1% of 79 movements
Jun 202624.7% 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 2020Arrivals68.2% of 22 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departures50.0% of 22 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals29.6% of 98 movements19.8% across 995 flightsreturned after 3 months
Summer 2022 breakdown · Jul 2022Departures31.6% of 98 movements21.5% across 996 flightsreturned after 3 months
NATS system failure · Aug 2023Arrivals27.6% of 105 movements20.7% across 1,126 flightsreturned after 2 months
NATS system failure · Aug 2023Departures36.2% of 105 movements22.0% across 1,129 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals21.5% of 79 movements26.8% across 1,059 flightsreturned after 4 months
Heathrow fire closure · Mar 2025Departures19.0% of 79 movements26.6% across 1,058 flightsreturned after 7 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?

December has historically been the hardest month on this route: in a typical December, 27.7% of arrivals were disrupted, measured across 6 Decembers in the archive. April has been the calmest, at 16.5% across 7 Aprils.

Even December has ranged from 20.8% to 41.8% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201912.4% of 97 movements45.8% of 107 movements18.8% of 133 movements16.4% of 134 movements14.1% of 142 movements18.2% of 137 movements17.0% of 141 movements18.2% of 143 movements10.9% of 138 movements21.6% of 139 movements18.3% of 126 movements20.8% of 120 movements202013.1% of 99 movements21.2% of 113 movements12.5% of 72 movements4.8% of 21 movements †suppressed: fewer than twenty movements68.2% of 22 movements †3.4% of 29 movements †12.5% of 32 movements †3.6% of 56 movements1.6% of 62 movements7.7% of 26 movements †5.9% of 34 movements †202111.5% of 26 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements14.0% of 43 movements †10.4% of 48 movements †17.7% of 62 movements13.6% of 88 movements20.7% of 82 movements23.8% of 84 movements15.4% of 91 movements22.4% of 85 movements20229.2% of 65 movements25.0% of 72 movements11.6% of 86 movements27.2% of 92 movements20.2% of 94 movements30.9% of 94 movements29.6% of 98 movements28.9% of 97 movements26.3% of 95 movements14.4% of 97 movements5.3% of 94 movements31.4% of 86 movements202313.8% of 80 movements11.5% of 78 movements16.3% of 98 movements23.4% of 94 movements24.7% of 97 movements21.0% of 105 movements31.4% of 105 movements27.6% of 105 movements27.4% of 95 movements20.2% of 99 movements14.0% of 86 movements23.8% of 84 movements202424.7% of 77 movements22.9% of 83 movements20.0% of 90 movements16.5% of 91 movements37.4% of 99 movements27.7% of 94 movements14.3% of 98 movements27.6% of 98 movements41.9% of 93 movements16.0% of 94 movements32.9% of 85 movements30.4% of 79 movements202535.2% of 71 movements22.4% of 67 movements21.5% of 79 movements44.7% of 85 movements47.8% of 90 movements34.4% of 90 movements24.7% of 93 movements21.5% of 93 movements31.8% of 88 movements12.1% of 91 movements15.7% of 89 movements25.0% of 76 movements202623.8% of 63 movements17.9% of 56 movements13.3% of 83 movements4.1% of 73 movements10.1% of 79 movements24.7% of 85 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan23.8%9.2–35.2%7 months, 588 flights
Feb22.7%11.5–45.8%7 months, 595 flights
Mar18.8%11.6–26.7%7 months, 700 flights
Apr16.5%4.1–44.7%7 months, 702 flights
May20.2%10.1–47.8%7 months, 751 flights
Jun24.7%16.6–34.4%7 months, 750 flights
Jul26.0%14.3–31.4%6 months, 682 flights
Aug27.6%18.2–31.1%6 months, 684 flights
Sep26.8%10.9–41.9%6 months, 648 flights
Oct18.1%12.1–23.6%6 months, 660 flights
Nov17.0%5.3–32.9%6 months, 608 flights
Dec27.7%20.8–41.8%6 months, 567 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 16.9% of 555 movements, Blue Islands 21.3% of 413 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 optionBlue Islands21.3% of 413 flightsLoganair16.9% of 555 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Aurigny Air Servicessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Blue Islands41321.3% of 413 movements2.2% of 413 movements1.0% of 413 movementsdescriptive comparison
Flybesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Isles Of Scilly Skybussuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Loganair55516.9% of 555 movements1.4% of 555 movements0.4% of 555 movementsdescriptive comparison

The noise check is a descriptive approximation assuming independent operations. Delay correlation and mix differences are not estimated; no ranking is derived.

Would another UK airport have been better?

Among UK airports flying to this city with enough flights to publish, NCL had the lowest disruption share at 12.9% of 629 movements and ABZ the highest at 46.2% of 39 movements — small sample, not ranked. This route sits at 18.9% of 969 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 ↔ Southampton †46.2% of 39 flightsBfs ↔ Southampton14.0% of 129 flightsBhd ↔ Southampton24.4% of 876 flightsEdi ↔ Southampton29.6% of 1,051 flightsGla ↔ Southampton17.5% of 325 flightsMan ↔ Southampton16.4% of 341 flightsNcl ↔ Southampton12.9% of 629 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Southampton3946.2% of 39 movements — small sample, not rankedno events in 39 movements — small sample, not ranked2.6% of 39 movements — small sample, not rankedsmall sample; not ranked
Bfs ↔ Southampton12914.0% of 129 movements0.8% of 129 movements1.6% of 129 movementsdescriptive comparison
Bhd ↔ Southampton87624.4% of 876 movements2.2% of 876 movements0.7% of 876 movementsdescriptive comparison
Bhx ↔ Southamptonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Boh ↔ Southamptonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Southamptonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Cwl ↔ Southamptonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Southamptonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Durham-Tees-Valley ↔ Southamptonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Southampton1,05129.6% of 1,051 movements1.3% of 1,051 movements0.4% of 1,051 movementsdescriptive comparison
Ema ↔ Southamptonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Southamptonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Southampton32517.5% of 325 movementsno events in 325 movements0.6% of 325 movementsdescriptive comparison
Iom ↔ Southamptonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Southamptonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lcy ↔ Southamptonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Southamptonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lhr ↔ Southamptonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ Southamptonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Southamptonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Southampton34116.4% of 341 movements1.5% of 341 movements0.3% of 341 movementsdescriptive comparison
Mme ↔ Southamptonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ Southampton62912.9% of 629 movements0.2% of 629 movements0.5% of 629 movementsdescriptive comparison
Stn ↔ Southamptonsuppressed: 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 JER ran 18.9% of 969 movements disrupted, departures 20.1% of 972 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 JER18.9% of 969 movements1.8% of 969 movements0.6% of 969 movements
Departures from JER20.1% of 972 movements1.6% of 972 movements1.1% of 972 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 202666 flights out of 9,17266 × £220 = £14,520
ArrivalsLast 72 months · Jul 2020–Jun 202646 flights out of 5,62246 × £220 = £10,120
DeparturesWhole archive · Jan 2018–Jun 202661 flights out of 9,26061 × £220 = £13,420
DeparturesLast 72 months · Jul 2020–Jun 202641 flights out of 5,62541 × £220 = £9,020
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 airportJERSEY · JER
Final point / countrySOUTHAMPTON / UNITED KINGDOM
Final point codesSOU / EGHI
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 archive102

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: 969; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

18.9% of 969 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

1.8% of 969 movements in the same window.

How many delays crossed three hours?

0.6% of 969 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