UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

EDI ↔ SOUTHAMPTON

In the twelve months from July 2025 to June 2026, 29.6% of 1,051 movements arriving into EDI were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 70.4% of 1,051 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 263 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, 29.6% of 1,051 movements were disrupted and 1.3% of 1,051 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
29.6% of 1,051 movements1.3% of 1,051 movements33.9–62.3 min; N of delayed flights=297–5161,051
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: 1.3% of 1,051 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 min28.3%30 min17.1%60 min8.6%120 min2.8%180 min0.4%360 min0.1%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min28.3% of 1,051 movements2973.5
>30 min17.1% of 1,051 movements1805.8
>60 min8.6% of 1,051 movements9011.7
>120 min2.8% of 1,051 movements2936.2
>180 min0.4% of 1,051 movements4262.8
>360 min0.1% of 1,051 movements11,051.0
Definitions, denominators and limits

CAA counts delays strictly greater than each threshold, so exactly three hours is inseparable from the previous bucket. The ladder describes the archive, not a forecast.

Slightly late, or occasionally a disaster?

When this route runs late, it is usually only a little late: big blow-ups are rarer here 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 early18017.1%15–1 early34132.4%0–15 late21920.8%16–3011711.1%31–60908.6%61…120615.8%121…180252.4%181…36030.3%>36010.1%D=1,051
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0193; corpus median 0.0217; 2056 routes in the corpus. The shape is compared conditionally among delays; the class name does not measure absolute frequency. Histogram counts and shares cover all recorded operations including unmatched records; reconstructed uniquely.

Has this route got better or worse since 2018?

Best month: Jan 2020, 4.2% of 96 movements. Worst month: Jul 2022, 63.2% of 106 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: 20.5%; sample: 1222018Feb 2018: 15.3%; sample: 124Mar 2018: 16.8%; sample: 131Apr 2018: 21.6%; sample: 111May 2018: 15.8%; sample: 114Jun 2018: 21.8%; sample: 110Jul 2018: 29.3%; sample: 116Aug 2018: 22.8%; sample: 114Sep 2018: 29.5%; sample: 112Oct 2018: 26.0%; sample: 123Nov 2018: 9.7%; sample: 134Dec 2018: 14.0%; sample: 136Jan 2019: 17.2%; sample: 1222019Feb 2019: 22.0%; sample: 123Mar 2019: 13.1%; sample: 130Apr 2019: 19.8%; sample: 116May 2019: 11.8%; sample: 119Jun 2019: 33.6%; sample: 110Jul 2019: 29.9%; sample: 117Aug 2019: 18.4%; sample: 114Sep 2019: 14.8%; sample: 115Oct 2019: 13.4%; sample: 119Nov 2019: 7.1%; sample: 112Dec 2019: 18.1%; sample: 116Jan 2020: 4.2%; sample: 962020Feb 2020: 7.8%; sample: 103Mar 2020: 51.7%; sample: 29Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 18.2%; sample: 22Aug 2020: 9.7%; sample: 31Sep 2020: 11.1%; sample: 45Oct 2020: 22.8%; sample: 57Nov 2020: 50.0%; sample: 20Dec 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: no data×May 2021: 9.1%; sample: 22Jun 2021: 25.0%; sample: 52Jul 2021: 31.3%; sample: 67Aug 2021: 17.9%; sample: 84Sep 2021: 30.6%; sample: 98Oct 2021: 28.6%; sample: 98Nov 2021: 17.9%; sample: 95Dec 2021: 22.0%; sample: 82Jan 2022: 21.6%; sample: 512022Feb 2022: 30.0%; sample: 60Mar 2022: 22.1%; sample: 86Apr 2022: 35.1%; sample: 97May 2022: 57.7%; sample: 104Jun 2022: 61.0%; sample: 100Jul 2022: 63.2%; sample: 106Aug 2022: 50.9%; sample: 106Sep 2022: 45.1%; sample: 113Oct 2022: 55.3%; sample: 114Nov 2022: 33.7%; sample: 101Dec 2022: 61.8%; sample: 89Jan 2023: 27.3%; sample: 772023Feb 2023: 16.7%; sample: 78Mar 2023: 19.4%; sample: 108Apr 2023: 14.3%; sample: 105May 2023: 19.6%; sample: 112Jun 2023: 36.3%; sample: 113Jul 2023: 43.9%; sample: 123Aug 2023: 44.6%; sample: 130Sep 2023: 38.4%; sample: 125Oct 2023: 37.3%; sample: 126Nov 2023: 25.5%; sample: 106Dec 2023: 37.3%; sample: 83Jan 2024: 19.2%; sample: 782024Feb 2024: 5.1%; sample: 79Mar 2024: 13.4%; sample: 97Apr 2024: 17.7%; sample: 96May 2024: 35.8%; sample: 95Jun 2024: 35.6%; sample: 87Jul 2024: 38.0%; sample: 92Aug 2024: 22.1%; sample: 113Sep 2024: 36.1%; sample: 108Oct 2024: 27.7%; sample: 112Nov 2024: 30.4%; sample: 102Dec 2024: 29.4%; sample: 85Jan 2025: 29.8%; sample: 842025Feb 2025: 11.2%; sample: 80Mar 2025: 16.3%; sample: 98Apr 2025: 15.7%; sample: 102May 2025: 8.9%; sample: 101Jun 2025: 20.8%; sample: 106Jul 2025: 37.2%; sample: 113Aug 2025: 32.1%; sample: 109Sep 2025: 27.4%; sample: 106Oct 2025: 27.2%; sample: 92Nov 2025: 37.6%; sample: 93Dec 2025: 26.5%; sample: 83Jan 2026: 28.8%; sample: 662026Feb 2026: 11.4%; sample: 70Mar 2026: 28.6%; sample: 84Apr 2026: 5.4%; sample: 74May 2026: 30.3%; sample: 76Jun 2026: 52.9%; 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 201820.5% of 122 movements
Feb 201815.3% of 124 movements
Mar 201816.8% of 131 movements
Apr 201821.6% of 111 movements
May 201815.8% of 114 movements
Jun 201821.8% of 110 movements
Jul 201829.3% of 116 movements
Aug 201822.8% of 114 movements
Sep 201829.5% of 112 movements
Oct 201826.0% of 123 movements
Nov 20189.7% of 134 movements
Dec 201814.0% of 136 movements
Jan 201917.2% of 122 movements
Feb 201922.0% of 123 movements
Mar 201913.1% of 130 movements
Apr 201919.8% of 116 movements
May 201911.8% of 119 movements
Jun 201933.6% of 110 movements
Jul 201929.9% of 117 movements
Aug 201918.4% of 114 movements
Sep 201914.8% of 115 movements
Oct 201913.4% of 119 movements
Nov 20197.1% of 112 movements
Dec 201918.1% of 116 movements
Jan 20204.2% of 96 movements
Feb 20207.8% of 103 movements
Mar 202051.7% of 29 movements — small sample, not ranked
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 202018.2% of 22 movements — small sample, not ranked
Aug 20209.7% of 31 movements — small sample, not ranked
Sep 202011.1% of 45 movements — small sample, not ranked
Oct 202022.8% of 57 movements
Nov 202050.0% of 20 movements — small sample, not ranked
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 2021no data
May 20219.1% of 22 movements — small sample, not ranked
Jun 202125.0% of 52 movements
Jul 202131.3% of 67 movements
Aug 202117.9% of 84 movements
Sep 202130.6% of 98 movements
Oct 202128.6% of 98 movements
Nov 202117.9% of 95 movements
Dec 202122.0% of 82 movements
Jan 202221.6% of 51 movements
Feb 202230.0% of 60 movements
Mar 202222.1% of 86 movements
Apr 202235.1% of 97 movements
May 202257.7% of 104 movements
Jun 202261.0% of 100 movements
Jul 202263.2% of 106 movements
Aug 202250.9% of 106 movements
Sep 202245.1% of 113 movements
Oct 202255.3% of 114 movements
Nov 202233.7% of 101 movements
Dec 202261.8% of 89 movements
Jan 202327.3% of 77 movements
Feb 202316.7% of 78 movements
Mar 202319.4% of 108 movements
Apr 202314.3% of 105 movements
May 202319.6% of 112 movements
Jun 202336.3% of 113 movements
Jul 202343.9% of 123 movements
Aug 202344.6% of 130 movements
Sep 202338.4% of 125 movements
Oct 202337.3% of 126 movements
Nov 202325.5% of 106 movements
Dec 202337.3% of 83 movements
Jan 202419.2% of 78 movements
Feb 20245.1% of 79 movements
Mar 202413.4% of 97 movements
Apr 202417.7% of 96 movements
May 202435.8% of 95 movements
Jun 202435.6% of 87 movements
Jul 202438.0% of 92 movements
Aug 202422.1% of 113 movements
Sep 202436.1% of 108 movements
Oct 202427.7% of 112 movements
Nov 202430.4% of 102 movements
Dec 202429.4% of 85 movements
Jan 202529.8% of 84 movements
Feb 202511.2% of 80 movements
Mar 202516.3% of 98 movements
Apr 202515.7% of 102 movements
May 20258.9% of 101 movements
Jun 202520.8% of 106 movements
Jul 202537.2% of 113 movements
Aug 202532.1% of 109 movements
Sep 202527.4% of 106 movements
Oct 202527.2% of 92 movements
Nov 202537.6% of 93 movements
Dec 202526.5% of 83 movements
Jan 202628.8% of 66 movements
Feb 202611.4% of 70 movements
Mar 202628.6% of 84 movements
Apr 20265.4% of 74 movements
May 202630.3% of 76 movements
Jun 202652.9% 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 2020Arrivalssuppressed: fewer than twenty movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departuressuppressed: fewer than twenty movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals63.2% of 106 movements31.3% across 1,022 flightsreturned after 6 months
Summer 2022 breakdown · Jul 2022Departures57.9% of 107 movements28.8% across 1,023 flightsreturned after 6 months
NATS system failure · Aug 2023Arrivals44.6% of 130 movements35.4% across 1,239 flightsreturned after 3 months
NATS system failure · Aug 2023Departures45.0% of 131 movements34.2% across 1,238 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals16.3% of 98 movements27.3% across 1,151 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures19.4% of 98 movements25.3% across 1,154 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?

July has historically been the hardest month on this route: in a typical July, 37.6% of arrivals were disrupted, measured across 6 Julys in the archive. February has been the calmest, at 15.3% across 7 Februarys.

Even July has ranged from 29.3% to 63.2% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201917.2% of 122 movements22.0% of 123 movements13.1% of 130 movements19.8% of 116 movements11.8% of 119 movements33.6% of 110 movements29.9% of 117 movements18.4% of 114 movements14.8% of 115 movements13.4% of 119 movements7.1% of 112 movements18.1% of 116 movements20204.2% of 96 movements7.8% of 103 movements51.7% of 29 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements18.2% of 22 movements †9.7% of 31 movements †11.1% of 45 movements †22.8% of 57 movements50.0% of 20 movements †suppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno data9.1% of 22 movements †25.0% of 52 movements31.3% of 67 movements17.9% of 84 movements30.6% of 98 movements28.6% of 98 movements17.9% of 95 movements22.0% of 82 movements202221.6% of 51 movements30.0% of 60 movements22.1% of 86 movements35.1% of 97 movements57.7% of 104 movements61.0% of 100 movements63.2% of 106 movements50.9% of 106 movements45.1% of 113 movements55.3% of 114 movements33.7% of 101 movements61.8% of 89 movements202327.3% of 77 movements16.7% of 78 movements19.4% of 108 movements14.3% of 105 movements19.6% of 112 movements36.3% of 113 movements43.9% of 123 movements44.6% of 130 movements38.4% of 125 movements37.3% of 126 movements25.5% of 106 movements37.3% of 83 movements202419.2% of 78 movements5.1% of 79 movements13.4% of 97 movements17.7% of 96 movements35.8% of 95 movements35.6% of 87 movements38.0% of 92 movements22.1% of 113 movements36.1% of 108 movements27.7% of 112 movements30.4% of 102 movements29.4% of 85 movements202529.8% of 84 movements11.2% of 80 movements16.3% of 98 movements15.7% of 102 movements8.9% of 101 movements20.8% of 106 movements37.2% of 113 movements32.1% of 109 movements27.4% of 106 movements27.2% of 92 movements37.6% of 93 movements26.5% of 83 movements202628.8% of 66 movements11.4% of 70 movements28.6% of 84 movements5.4% of 74 movements30.3% of 76 movements52.9% of 85 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan21.6%17.2–29.8%7 months, 600 flights
Feb15.3%5.1–30.0%7 months, 614 flights
Mar16.8%13.1–28.6%7 months, 734 flights
Apr17.7%5.4–35.1%7 months, 701 flights
May19.6%8.9–57.7%7 months, 721 flights
Jun35.6%20.8–61.0%7 months, 711 flights
Jul37.6%29.3–63.2%6 months, 667 flights
Aug27.5%18.4–50.9%6 months, 686 flights
Sep32.8%14.8–45.1%6 months, 679 flights
Oct27.4%13.4–55.3%6 months, 686 flights
Nov27.9%7.1–37.6%6 months, 648 flights
Dec28.0%14.0–61.8%6 months, 592 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, 29.6% of 1,051 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 optionLoganair29.6% of 1,051 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
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
Great Dane Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Loganair1,05129.6% of 1,051 movements1.3% of 1,051 movements0.4% of 1,051 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, 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 29.6% of 1,051 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 flightsGla ↔ Southampton17.5% of 325 flightsJer ↔ Southampton18.9% of 969 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
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
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 EDI ran 29.6% of 1,051 movements disrupted, departures 28.6% of 1,052 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 EDI29.6% of 1,051 movements1.3% of 1,051 movements0.4% of 1,051 movements
Departures from EDI28.6% of 1,052 movements0.7% of 1,052 movements0.6% of 1,052 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 202656 flights out of 9,06556 × £220 = £12,320
ArrivalsLast 72 months · Jul 2020–Jun 202643 flights out of 5,96843 × £220 = £9,460
DeparturesWhole archive · Jan 2018–Jun 202633 flights out of 9,06233 × £220 = £7,260
DeparturesLast 72 months · Jul 2020–Jun 202628 flights out of 5,97028 × £220 = £6,160
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 airportEDINBURGH · EDI
Final point / countrySOUTHAMPTON / UNITED KINGDOM
Final point codesSOU / EGHI
Great-circle distance572 km
Maximum statutory amount for the band£220
Average operated arrivals per day2.84
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 archive97

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: 1,051; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

29.6% of 1,051 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

1.3% of 1,051 movements in the same window.

How many delays crossed three hours?

0.4% of 1,051 movements in the same window; these are observed movements, not a count of claims.

What does the delay distribution look like?

chronically slightly late. The class compares the tail with short delays across routes in the corpus.

What distance is used?

572 km, great-circle.

Can compensation entitlement be established here?

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

Why do some cells say "no data"?

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

How this was calculated

Dataset version, input hashes and reconstruction rules

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

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

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

Your trip has already gone wrong — what now?

The official route to complain

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

Reconstruction and formulas

Open the versioned claim register

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