UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

EDI ↔ LUTON

In the twelve months from July 2025 to June 2026, 27.9% of 1,055 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, 72.1% of 1,055 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 352 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, 27.9% of 1,055 movements were disrupted and 0.3% of 1,055 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
27.9% of 1,055 movements0.3% of 1,055 movements28.2–56.2 min; N of delayed flights=291–5431,055
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: 0.3% of 1,055 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 min27.6%30 min15.5%60 min7.3%120 min1.8%180 min0.3%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min27.6% of 1,055 movements2913.6
>30 min15.5% of 1,055 movements1636.5
>60 min7.3% of 1,055 movements7713.7
>120 min1.8% of 1,055 movements1955.5
>180 min0.3% of 1,055 movements3351.7
>360 minno events in 1,055 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?

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 early16515.6%15–1 early34432.6%0–15 late25223.9%16–3012812.1%31–60868.2%61…120585.5%121…180161.5%181…36030.3%>36000.0%D=1,055
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0140; 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: Aug 2021, 2.6% of 76 movements. Worst month: Dec 2022, 54.5% of 88 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: 21.4%; sample: 982018Feb 2018: 38.1%; sample: 84Mar 2018: 37.6%; sample: 93Apr 2018: 25.3%; sample: 95May 2018: 21.6%; sample: 97Jun 2018: 38.0%; sample: 92Jul 2018: 43.9%; sample: 98Aug 2018: 31.3%; sample: 99Sep 2018: 23.9%; sample: 92Oct 2018: 28.6%; sample: 98Nov 2018: 30.8%; sample: 91Dec 2018: 38.9%; sample: 90Jan 2019: 20.8%; sample: 962019Feb 2019: 20.9%; sample: 86Mar 2019: 25.0%; sample: 92Apr 2019: 29.5%; sample: 95May 2019: 27.3%; sample: 99Jun 2019: 37.0%; sample: 92Jul 2019: 29.6%; sample: 98Aug 2019: 30.9%; sample: 97Sep 2019: 42.1%; sample: 95Oct 2019: 30.9%; sample: 97Nov 2019: 11.2%; sample: 89Dec 2019: 26.9%; sample: 93Jan 2020: 9.5%; sample: 952020Feb 2020: 42.4%; sample: 85Mar 2020: 6.6%; sample: 61Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 3.4%; sample: 29Aug 2020: 4.4%; sample: 45Sep 2020: 7.3%; sample: 41Oct 2020: 0.0%; sample: 35Nov 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: 0.0%; sample: 22Jun 2021: 4.3%; sample: 47Jul 2021: 6.7%; sample: 75Aug 2021: 2.6%; sample: 76Sep 2021: 6.8%; sample: 73Oct 2021: 8.0%; sample: 75Nov 2021: 5.8%; sample: 69Dec 2021: 12.0%; sample: 75Jan 2022: 2.2%; sample: 452022Feb 2022: 36.5%; sample: 63Mar 2022: 16.4%; sample: 73Apr 2022: 25.3%; sample: 83May 2022: 22.5%; sample: 89Jun 2022: 28.6%; sample: 84Jul 2022: 46.7%; sample: 92Aug 2022: 30.9%; sample: 94Sep 2022: 42.4%; sample: 92Oct 2022: 28.6%; sample: 91Nov 2022: 11.4%; sample: 70Dec 2022: 54.5%; sample: 88Jan 2023: 14.1%; sample: 782023Feb 2023: 11.7%; sample: 77Mar 2023: 31.2%; sample: 96Apr 2023: 22.7%; sample: 88May 2023: 30.7%; sample: 101Jun 2023: 41.6%; sample: 101Jul 2023: 40.5%; sample: 111Aug 2023: 36.4%; sample: 110Sep 2023: 33.0%; sample: 100Oct 2023: 30.7%; sample: 101Nov 2023: 18.0%; sample: 89Dec 2023: 50.5%; sample: 93Jan 2024: 24.1%; sample: 832024Feb 2024: 29.5%; sample: 88Mar 2024: 24.7%; sample: 97Apr 2024: 23.2%; sample: 99May 2024: 34.2%; sample: 111Jun 2024: 33.0%; sample: 94Jul 2024: 40.5%; sample: 111Aug 2024: 28.8%; sample: 111Sep 2024: 40.0%; sample: 100Oct 2024: 23.0%; sample: 87Nov 2024: 17.5%; sample: 80Dec 2024: 36.5%; sample: 96Jan 2025: 29.9%; sample: 872025Feb 2025: 19.5%; sample: 82Mar 2025: 17.0%; sample: 88Apr 2025: 10.0%; sample: 90May 2025: 18.9%; sample: 90Jun 2025: 24.4%; sample: 86Jul 2025: 47.9%; sample: 94Aug 2025: 35.2%; sample: 91Sep 2025: 36.2%; sample: 80Oct 2025: 23.5%; sample: 81Nov 2025: 25.9%; sample: 81Dec 2025: 24.7%; sample: 97Jan 2026: 20.2%; sample: 842026Feb 2026: 20.0%; sample: 85Mar 2026: 25.0%; sample: 96Apr 2026: 11.2%; sample: 89May 2026: 24.4%; sample: 90Jun 2026: 39.1%; sample: 87Pandemic 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 201821.4% of 98 movements
Feb 201838.1% of 84 movements
Mar 201837.6% of 93 movements
Apr 201825.3% of 95 movements
May 201821.6% of 97 movements
Jun 201838.0% of 92 movements
Jul 201843.9% of 98 movements
Aug 201831.3% of 99 movements
Sep 201823.9% of 92 movements
Oct 201828.6% of 98 movements
Nov 201830.8% of 91 movements
Dec 201838.9% of 90 movements
Jan 201920.8% of 96 movements
Feb 201920.9% of 86 movements
Mar 201925.0% of 92 movements
Apr 201929.5% of 95 movements
May 201927.3% of 99 movements
Jun 201937.0% of 92 movements
Jul 201929.6% of 98 movements
Aug 201930.9% of 97 movements
Sep 201942.1% of 95 movements
Oct 201930.9% of 97 movements
Nov 201911.2% of 89 movements
Dec 201926.9% of 93 movements
Jan 20209.5% of 95 movements
Feb 202042.4% of 85 movements
Mar 20206.6% of 61 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 20203.4% of 29 movements — small sample, not ranked
Aug 20204.4% of 45 movements — small sample, not ranked
Sep 20207.3% of 41 movements — small sample, not ranked
Oct 2020no events in 35 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 2021no events in 22 movements — small sample, not ranked
Jun 20214.3% of 47 movements — small sample, not ranked
Jul 20216.7% of 75 movements
Aug 20212.6% of 76 movements
Sep 20216.8% of 73 movements
Oct 20218.0% of 75 movements
Nov 20215.8% of 69 movements
Dec 202112.0% of 75 movements
Jan 20222.2% of 45 movements — small sample, not ranked
Feb 202236.5% of 63 movements
Mar 202216.4% of 73 movements
Apr 202225.3% of 83 movements
May 202222.5% of 89 movements
Jun 202228.6% of 84 movements
Jul 202246.7% of 92 movements
Aug 202230.9% of 94 movements
Sep 202242.4% of 92 movements
Oct 202228.6% of 91 movements
Nov 202211.4% of 70 movements
Dec 202254.5% of 88 movements
Jan 202314.1% of 78 movements
Feb 202311.7% of 77 movements
Mar 202331.2% of 96 movements
Apr 202322.7% of 88 movements
May 202330.7% of 101 movements
Jun 202341.6% of 101 movements
Jul 202340.5% of 111 movements
Aug 202336.4% of 110 movements
Sep 202333.0% of 100 movements
Oct 202330.7% of 101 movements
Nov 202318.0% of 89 movements
Dec 202350.5% of 93 movements
Jan 202424.1% of 83 movements
Feb 202429.5% of 88 movements
Mar 202424.7% of 97 movements
Apr 202423.2% of 99 movements
May 202434.2% of 111 movements
Jun 202433.0% of 94 movements
Jul 202440.5% of 111 movements
Aug 202428.8% of 111 movements
Sep 202440.0% of 100 movements
Oct 202423.0% of 87 movements
Nov 202417.5% of 80 movements
Dec 202436.5% of 96 movements
Jan 202529.9% of 87 movements
Feb 202519.5% of 82 movements
Mar 202517.0% of 88 movements
Apr 202510.0% of 90 movements
May 202518.9% of 90 movements
Jun 202524.4% of 86 movements
Jul 202547.9% of 94 movements
Aug 202535.2% of 91 movements
Sep 202536.2% of 80 movements
Oct 202523.5% of 81 movements
Nov 202525.9% of 81 movements
Dec 202524.7% of 97 movements
Jan 202620.2% of 84 movements
Feb 202620.0% of 85 movements
Mar 202625.0% of 96 movements
Apr 202611.2% of 89 movements
May 202624.4% of 90 movements
Jun 202639.1% of 87 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 2022Arrivals46.7% of 92 movements14.5% across 880 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures50.0% of 92 movements19.4% across 877 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals36.4% of 110 movements30.0% across 1,087 flightsreturned after 3 months
NATS system failure · Aug 2023Departures45.5% of 110 movements34.2% across 1,090 flightsreturned after 3 months
Heathrow fire closure · Mar 2025Arrivals17.0% of 88 movements29.2% across 1,155 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures14.8% of 88 movements32.9% across 1,156 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, 42.2% of arrivals were disrupted, measured across 6 Julys in the archive. November has been the calmest, at 17.7% across 6 Novembers.

Even July has ranged from 29.6% to 47.9% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201920.8% of 96 movements20.9% of 86 movements25.0% of 92 movements29.5% of 95 movements27.3% of 99 movements37.0% of 92 movements29.6% of 98 movements30.9% of 97 movements42.1% of 95 movements30.9% of 97 movements11.2% of 89 movements26.9% of 93 movements20209.5% of 95 movements42.4% of 85 movements6.6% of 61 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements3.4% of 29 movements †4.4% of 45 movements †7.3% of 41 movements †no events in 35 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 movementsno events in 22 movements †4.3% of 47 movements †6.7% of 75 movements2.6% of 76 movements6.8% of 73 movements8.0% of 75 movements5.8% of 69 movements12.0% of 75 movements20222.2% of 45 movements †36.5% of 63 movements16.4% of 73 movements25.3% of 83 movements22.5% of 89 movements28.6% of 84 movements46.7% of 92 movements30.9% of 94 movements42.4% of 92 movements28.6% of 91 movements11.4% of 70 movements54.5% of 88 movements202314.1% of 78 movements11.7% of 77 movements31.2% of 96 movements22.7% of 88 movements30.7% of 101 movements41.6% of 101 movements40.5% of 111 movements36.4% of 110 movements33.0% of 100 movements30.7% of 101 movements18.0% of 89 movements50.5% of 93 movements202424.1% of 83 movements29.5% of 88 movements24.7% of 97 movements23.2% of 99 movements34.2% of 111 movements33.0% of 94 movements40.5% of 111 movements28.8% of 111 movements40.0% of 100 movements23.0% of 87 movements17.5% of 80 movements36.5% of 96 movements202529.9% of 87 movements19.5% of 82 movements17.0% of 88 movements10.0% of 90 movements18.9% of 90 movements24.4% of 86 movements47.9% of 94 movements35.2% of 91 movements36.2% of 80 movements23.5% of 81 movements25.9% of 81 movements24.7% of 97 movements202620.2% of 84 movements20.0% of 85 movements25.0% of 96 movements11.2% of 89 movements24.4% of 90 movements39.1% of 87 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan20.8%2.2–29.9%7 months, 571 flights
Feb20.9%11.7–38.1%7 months, 565 flights
Mar25.0%16.4–37.6%7 months, 635 flights
Apr23.2%10.0–29.5%7 months, 639 flights
May24.4%18.9–34.2%7 months, 677 flights
Jun37.0%24.4–41.6%7 months, 636 flights
Jul42.2%29.6–47.9%6 months, 604 flights
Aug31.1%28.8–36.4%6 months, 602 flights
Sep38.1%23.9–42.4%6 months, 559 flights
Oct28.6%23.0–30.9%6 months, 555 flights
Nov17.7%11.2–30.8%6 months, 500 flights
Dec37.7%24.7–54.5%6 months, 557 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: Easyjet Uk Ltd, 27.9% of 1,055 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 optionEasyjet Uk27.9% of 1,055 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Easyjet Airlinesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Uk1,05527.9% of 1,055 movements0.3% of 1,055 movements0.3% of 1,055 movementsdescriptive comparison
Jet2.Comsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Loganairsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Maleth Aerosuppressed: 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, BHD had the lowest disruption share at 18.0% of 322 movements and ABZ the highest at 30.7% of 254 movements. This route sits at 27.9% of 1,055 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 ↔ Luton30.7% of 254 flightsBfs ↔ Luton23.1% of 1,148 flightsBhd ↔ Luton18.0% of 322 flightsGla ↔ Luton24.4% of 1,025 flightsJer ↔ Luton24.4% of 365 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Luton25430.7% of 254 movements1.2% of 254 movements1.2% of 254 movementsdescriptive comparison
Bfs ↔ Luton1,14823.1% of 1,148 movements0.6% of 1,148 movements0.4% of 1,148 movementsdescriptive comparison
Bhd ↔ Luton32218.0% of 322 movements0.3% of 322 movementsno events in 322 movementsdescriptive comparison
Bhx ↔ Lutonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Boh ↔ Lutonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Lutonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Cwl ↔ Lutonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Lutonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Durham-Tees-Valley ↔ Lutonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ema ↔ Lutonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Lutonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Luton1,02524.4% of 1,025 movements0.7% of 1,025 movements0.5% of 1,025 movementsdescriptive comparison
Iom ↔ Lutonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jer ↔ Luton36524.4% of 365 movements0.3% of 365 movements1.1% of 365 movementsdescriptive comparison
Lba ↔ Lutonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Lutonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lhr ↔ Lutonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ Lutonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Lutonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Mme ↔ Lutonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ Lutonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sen ↔ Lutonsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Lutonsuppressed: 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 27.9% of 1,055 movements disrupted, departures 29.6% of 1,054 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 EDI27.9% of 1,055 movements0.3% of 1,055 movements0.3% of 1,055 movements
Departures from EDI29.6% of 1,054 movements0.4% of 1,054 movements0.3% of 1,054 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 202631 flights out of 8,07231 × £220 = £6,820
ArrivalsLast 72 months · Jul 2020–Jun 202618 flights out of 5,57518 × £220 = £3,960
DeparturesWhole archive · Jan 2018–Jun 202632 flights out of 8,07532 × £220 = £7,040
DeparturesLast 72 months · Jul 2020–Jun 202621 flights out of 5,57621 × £220 = £4,620
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 / countryLUTON / UNITED KINGDOM
Final point codesLTN / EGGW
Great-circle distance494 km
Maximum statutory amount for the band£220
Average operated arrivals per day2.88
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 archive99

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: 1,055; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

27.9% of 1,055 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.3% of 1,055 movements in the same window.

How many delays crossed three hours?

0.3% of 1,055 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?

494 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.

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Reconstruction and formulas

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