UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

NCL ↔ SOUTHAMPTON

In the twelve months from July 2025 to June 2026, 12.9% of 629 movements arriving into NCL were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 87.1% of 629 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 210 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, 12.9% of 629 movements were disrupted and 0.2% of 629 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
12.9% of 629 movements0.2% of 629 movements21.0–67.6 min; N of delayed flights=80–228629
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: 0.2% of 629 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 min12.7%30 min7.5%60 min3.5%120 min1.1%180 min0.5%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min12.7% of 629 movements807.9
>30 min7.5% of 629 movements4713.4
>60 min3.5% of 629 movements2228.6
>120 min1.1% of 629 movements789.9
>180 min0.5% of 629 movements3209.7
>360 minno events in 629 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 early12119.2%15–1 early27944.4%0–15 late14823.5%16–30335.2%31–60254.0%61…120152.4%121…18040.6%181…36030.5%>36000.0%D=629
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0517; 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: Feb 2025, 1.9% of 52 movements. Worst month: Dec 2022, 46.2% of 52 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: 6.3%; sample: 792018Feb 2018: 15.3%; sample: 72Mar 2018: 19.0%; sample: 79Apr 2018: 10.1%; sample: 79May 2018: 16.0%; sample: 81Jun 2018: 17.1%; sample: 76Jul 2018: 30.0%; sample: 80Aug 2018: 23.8%; sample: 80Sep 2018: 14.7%; sample: 75Oct 2018: 13.3%; sample: 83Nov 2018: 10.3%; sample: 78Dec 2018: 20.5%; sample: 73Jan 2019: 12.2%; sample: 742019Feb 2019: 21.1%; sample: 71Mar 2019: 19.2%; sample: 78Apr 2019: 19.7%; sample: 76May 2019: 13.9%; sample: 79Jun 2019: 12.0%; sample: 75Jul 2019: 18.5%; sample: 81Aug 2019: 20.5%; sample: 78Sep 2019: 10.5%; sample: 76Oct 2019: 11.4%; sample: 79Nov 2019: 11.8%; sample: 68Dec 2019: 11.6%; sample: 69Jan 2020: 3.5%; sample: 572020Feb 2020: 11.1%; sample: 63Mar 2020: 45.1%; sample: 51Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: 35.0%; sample: 20Jul 2020: 30.0%; sample: 60Aug 2020: 17.6%; sample: 51Sep 2020: 20.3%; sample: 74Oct 2020: 12.2%; sample: 41Nov 2020: suppressed: fewer than twenty movements×Dec 2020: suppressed: fewer than twenty movements×Jan 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: 20.0%; sample: 20Jun 2021: 10.2%; sample: 49Jul 2021: 14.8%; sample: 61Aug 2021: 10.3%; sample: 58Sep 2021: 11.5%; sample: 52Oct 2021: 11.5%; sample: 52Nov 2021: 13.7%; sample: 51Dec 2021: 16.3%; sample: 49Jan 2022: 17.1%; sample: 352022Feb 2022: 25.0%; sample: 36Mar 2022: 9.8%; sample: 51Apr 2022: 20.4%; sample: 54May 2022: 15.4%; sample: 52Jun 2022: 30.0%; sample: 50Jul 2022: 26.3%; sample: 57Aug 2022: 19.0%; sample: 58Sep 2022: 25.0%; sample: 56Oct 2022: 7.0%; sample: 57Nov 2022: 12.5%; sample: 56Dec 2022: 46.2%; sample: 52Jan 2023: 21.2%; sample: 522023Feb 2023: 12.5%; sample: 48Mar 2023: 24.1%; sample: 58Apr 2023: 15.1%; sample: 53May 2023: 12.3%; sample: 57Jun 2023: 26.8%; sample: 56Jul 2023: 19.1%; sample: 68Aug 2023: 34.2%; sample: 76Sep 2023: 35.7%; sample: 70Oct 2023: 29.6%; sample: 71Nov 2023: 23.2%; sample: 56Dec 2023: 27.5%; sample: 51Jan 2024: 25.5%; sample: 512024Feb 2024: 10.0%; sample: 50Mar 2024: 18.2%; sample: 55Apr 2024: 18.3%; sample: 60May 2024: 21.4%; sample: 56Jun 2024: 16.4%; sample: 55Jul 2024: 10.3%; sample: 58Aug 2024: 5.4%; sample: 56Sep 2024: 23.2%; sample: 56Oct 2024: 13.8%; sample: 58Nov 2024: 5.5%; sample: 55Dec 2024: 20.4%; sample: 49Jan 2025: 24.1%; sample: 542025Feb 2025: 1.9%; sample: 52Mar 2025: 14.5%; sample: 55Apr 2025: 9.3%; sample: 54May 2025: 5.7%; sample: 53Jun 2025: 7.1%; sample: 56Jul 2025: 13.8%; sample: 58Aug 2025: 11.1%; sample: 54Sep 2025: 7.5%; sample: 53Oct 2025: 15.8%; sample: 57Nov 2025: 20.0%; sample: 55Dec 2025: 19.6%; sample: 51Jan 2026: 19.5%; sample: 412026Feb 2026: 9.8%; sample: 51Mar 2026: 14.8%; sample: 54Apr 2026: 9.3%; sample: 54May 2026: 4.1%; sample: 49Jun 2026: 9.6%; sample: 52Pandemic 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 20186.3% of 79 movements
Feb 201815.3% of 72 movements
Mar 201819.0% of 79 movements
Apr 201810.1% of 79 movements
May 201816.0% of 81 movements
Jun 201817.1% of 76 movements
Jul 201830.0% of 80 movements
Aug 201823.8% of 80 movements
Sep 201814.7% of 75 movements
Oct 201813.3% of 83 movements
Nov 201810.3% of 78 movements
Dec 201820.5% of 73 movements
Jan 201912.2% of 74 movements
Feb 201921.1% of 71 movements
Mar 201919.2% of 78 movements
Apr 201919.7% of 76 movements
May 201913.9% of 79 movements
Jun 201912.0% of 75 movements
Jul 201918.5% of 81 movements
Aug 201920.5% of 78 movements
Sep 201910.5% of 76 movements
Oct 201911.4% of 79 movements
Nov 201911.8% of 68 movements
Dec 201911.6% of 69 movements
Jan 20203.5% of 57 movements
Feb 202011.1% of 63 movements
Mar 202045.1% of 51 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 202035.0% of 20 movements — small sample, not ranked
Jul 202030.0% of 60 movements
Aug 202017.6% of 51 movements
Sep 202020.3% of 74 movements
Oct 202012.2% of 41 movements — small sample, not ranked
Nov 2020suppressed: fewer than twenty movements
Dec 2020suppressed: fewer than twenty movements
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 202120.0% of 20 movements — small sample, not ranked
Jun 202110.2% of 49 movements — small sample, not ranked
Jul 202114.8% of 61 movements
Aug 202110.3% of 58 movements
Sep 202111.5% of 52 movements
Oct 202111.5% of 52 movements
Nov 202113.7% of 51 movements
Dec 202116.3% of 49 movements — small sample, not ranked
Jan 202217.1% of 35 movements — small sample, not ranked
Feb 202225.0% of 36 movements — small sample, not ranked
Mar 20229.8% of 51 movements
Apr 202220.4% of 54 movements
May 202215.4% of 52 movements
Jun 202230.0% of 50 movements
Jul 202226.3% of 57 movements
Aug 202219.0% of 58 movements
Sep 202225.0% of 56 movements
Oct 20227.0% of 57 movements
Nov 202212.5% of 56 movements
Dec 202246.2% of 52 movements
Jan 202321.2% of 52 movements
Feb 202312.5% of 48 movements — small sample, not ranked
Mar 202324.1% of 58 movements
Apr 202315.1% of 53 movements
May 202312.3% of 57 movements
Jun 202326.8% of 56 movements
Jul 202319.1% of 68 movements
Aug 202334.2% of 76 movements
Sep 202335.7% of 70 movements
Oct 202329.6% of 71 movements
Nov 202323.2% of 56 movements
Dec 202327.5% of 51 movements
Jan 202425.5% of 51 movements
Feb 202410.0% of 50 movements
Mar 202418.2% of 55 movements
Apr 202418.3% of 60 movements
May 202421.4% of 56 movements
Jun 202416.4% of 55 movements
Jul 202410.3% of 58 movements
Aug 20245.4% of 56 movements
Sep 202423.2% of 56 movements
Oct 202413.8% of 58 movements
Nov 20245.5% of 55 movements
Dec 202420.4% of 49 movements — small sample, not ranked
Jan 202524.1% of 54 movements
Feb 20251.9% of 52 movements
Mar 202514.5% of 55 movements
Apr 20259.3% of 54 movements
May 20255.7% of 53 movements
Jun 20257.1% of 56 movements
Jul 202513.8% of 58 movements
Aug 202511.1% of 54 movements
Sep 20257.5% of 53 movements
Oct 202515.8% of 57 movements
Nov 202520.0% of 55 movements
Dec 202519.6% of 51 movements
Jan 202619.5% of 41 movements — small sample, not ranked
Feb 20269.8% of 51 movements
Mar 202614.8% of 54 movements
Apr 20269.3% of 54 movements
May 20264.1% of 49 movements — small sample, not ranked
Jun 20269.6% of 52 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 2020Arrivals35.0% of 20 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departures30.0% of 20 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals26.3% of 57 movements16.3% across 601 flightsreturned after 3 months
Summer 2022 breakdown · Jul 2022Departures31.6% of 57 movements16.5% across 603 flightsreturned the next month
NATS system failure · Aug 2023Arrivals34.2% of 76 movements20.1% across 671 flightsreturned after 6 months
NATS system failure · Aug 2023Departures51.3% of 76 movements22.5% across 675 flightsreturned after 3 months
Heathrow fire closure · Mar 2025Arrivals14.5% of 55 movements14.9% across 664 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures9.1% of 55 movements10.0% across 666 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, 20.5% of arrivals were disrupted, measured across 6 Decembers in the archive. November has been the calmest, at 12.1% across 6 Novembers.

Even December has ranged from 11.6% to 46.2% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201912.2% of 74 movements21.1% of 71 movements19.2% of 78 movements19.7% of 76 movements13.9% of 79 movements12.0% of 75 movements18.5% of 81 movements20.5% of 78 movements10.5% of 76 movements11.4% of 79 movements11.8% of 68 movements11.6% of 69 movements20203.5% of 57 movements11.1% of 63 movements45.1% of 51 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements35.0% of 20 movements †30.0% of 60 movements17.6% of 51 movements20.3% of 74 movements12.2% of 41 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements20.0% of 20 movements †10.2% of 49 movements †14.8% of 61 movements10.3% of 58 movements11.5% of 52 movements11.5% of 52 movements13.7% of 51 movements16.3% of 49 movements †202217.1% of 35 movements †25.0% of 36 movements †9.8% of 51 movements20.4% of 54 movements15.4% of 52 movements30.0% of 50 movements26.3% of 57 movements19.0% of 58 movements25.0% of 56 movements7.0% of 57 movements12.5% of 56 movements46.2% of 52 movements202321.2% of 52 movements12.5% of 48 movements †24.1% of 58 movements15.1% of 53 movements12.3% of 57 movements26.8% of 56 movements19.1% of 68 movements34.2% of 76 movements35.7% of 70 movements29.6% of 71 movements23.2% of 56 movements27.5% of 51 movements202425.5% of 51 movements10.0% of 50 movements18.2% of 55 movements18.3% of 60 movements21.4% of 56 movements16.4% of 55 movements10.3% of 58 movements5.4% of 56 movements23.2% of 56 movements13.8% of 58 movements5.5% of 55 movements20.4% of 49 movements †202524.1% of 54 movements1.9% of 52 movements14.5% of 55 movements9.3% of 54 movements5.7% of 53 movements7.1% of 56 movements13.8% of 58 movements11.1% of 54 movements7.5% of 53 movements15.8% of 57 movements20.0% of 55 movements19.6% of 51 movements202619.5% of 41 movements †9.8% of 51 movements14.8% of 54 movements9.3% of 54 movements4.1% of 49 movements †9.6% of 52 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan19.5%6.3–25.5%7 months, 386 flights
Feb12.5%1.9–25.0%7 months, 380 flights
Mar18.2%9.8–24.1%7 months, 430 flights
Apr15.1%9.3–20.4%7 months, 430 flights
May13.9%4.1–21.4%7 months, 427 flights
Jun16.4%7.1–30.0%7 months, 420 flights
Jul18.8%10.3–30.0%6 months, 402 flights
Aug19.7%5.4–34.2%6 months, 402 flights
Sep18.9%7.5–35.7%6 months, 386 flights
Oct13.5%7.0–29.6%6 months, 405 flights
Nov12.1%5.5–23.2%6 months, 368 flights
Dec20.5%11.6–46.2%6 months, 345 flights
Definitions, denominators and limits

The matrix shows the last eight calendar years, including an incomplete final year; the start of the archive is kept in the history above. Seasonal summaries use the whole available archive, excluding the pandemic regime 2020–2021; this is an observed range, not a forecast. Zero events, missing data and suppressed cells are marked separately. † marks a small sample, described but not ranked. For ranges the colour follows the upper bound.

Which airline has the better record here?

Only one carrier published enough flights here to report: Loganair Ltd, 12.9% of 629 movements disrupted.

Figures cover arrivals, July 2025 to June 2026; lower is better in every column. Carriers with fewer than twenty published flights are suppressed rather than shown as zero. The page makes no ranking: the operations behind these shares are not matched for aircraft, time of day or season.

Observed disruption share by optionLoganair12.9% of 629 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Ba Cityflyersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Blue Islandssuppressed: 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
Flybesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gainjet Aviationsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jet2.Comsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jota Aviationsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Loganair62912.9% of 629 movements0.2% of 629 movements0.5% of 629 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, BFS had the lowest disruption share at 14.0% of 129 movements and ABZ the highest at 46.2% of 39 movements — small sample, not ranked. This route sits at 12.9% of 629 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 flightsJer ↔ Southampton18.9% of 969 flightsMan ↔ Southampton16.4% of 341 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
Jer ↔ Southampton96918.9% of 969 movements1.8% of 969 movements0.6% of 969 movementsdescriptive comparison
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
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 NCL ran 12.9% of 629 movements disrupted, departures 15.4% of 631 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 NCL12.9% of 629 movements0.2% of 629 movements0.5% of 629 movements
Departures from NCL15.4% of 631 movements0.5% of 631 movements0.3% of 631 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 202614 flights out of 5,62914 × £220 = £3,080
ArrivalsLast 72 months · Jul 2020–Jun 202614 flights out of 3,59914 × £220 = £3,080
DeparturesWhole archive · Jan 2018–Jun 202617 flights out of 5,62017 × £220 = £3,740
DeparturesLast 72 months · Jul 2020–Jun 202615 flights out of 3,59115 × £220 = £3,300
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 airportNEWCASTLE · NCL
Final point / countrySOUTHAMPTON / UNITED KINGDOM
Final point codesSOU / EGHI
Great-circle distance455 km
Maximum statutory amount for the band£220
Average operated arrivals per day1.72
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: 629; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

12.9% of 629 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.2% of 629 movements in the same window.

How many delays crossed three hours?

0.5% of 629 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?

455 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