UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

GLA ↔ LUTON

In the twelve months from July 2025 to June 2026, 24.4% of 1,025 movements arriving into GLA were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 75.6% of 1,025 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 205 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, 24.4% of 1,025 movements were disrupted and 0.7% of 1,025 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
24.4% of 1,025 movements0.7% of 1,025 movements27.6–61.4 min; N of delayed flights=243–5031,025
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: 0.7% of 1,025 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 min23.7%30 min14.5%60 min6.3%120 min1.6%180 min0.5%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min23.7% of 1,025 movements2434.2
>30 min14.5% of 1,025 movements1496.9
>60 min6.3% of 1,025 movements6515.8
>120 min1.6% of 1,025 movements1664.1
>180 min0.5% of 1,025 movements5205.0
>360 minno events in 1,025 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 early10410.1%15–1 early41140.1%0–15 late26025.4%16–30949.2%31–60848.2%61…120494.8%121…180111.1%181…36050.5%>36000.0%D=1,025
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0281; 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: Jun 2021, no events in 52 movements. Worst month: Dec 2022, 46.4% of 56 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: 18.6%; sample: 702018Feb 2018: 21.5%; sample: 65Mar 2018: 31.9%; sample: 72Apr 2018: 28.2%; sample: 71May 2018: 29.3%; sample: 75Jun 2018: 32.4%; sample: 71Jul 2018: 37.9%; sample: 66Aug 2018: 36.8%; sample: 68Sep 2018: 23.6%; sample: 72Oct 2018: 24.3%; sample: 74Nov 2018: 14.3%; sample: 70Dec 2018: 22.1%; sample: 68Jan 2019: 16.7%; sample: 722019Feb 2019: 10.8%; sample: 65Mar 2019: 19.7%; sample: 71Apr 2019: 26.0%; sample: 73May 2019: 23.7%; sample: 76Jun 2019: 34.3%; sample: 70Jul 2019: 31.8%; sample: 66Aug 2019: 30.9%; sample: 68Sep 2019: 28.8%; sample: 73Oct 2019: 32.4%; sample: 74Nov 2019: 13.2%; sample: 68Dec 2019: 30.4%; sample: 69Jan 2020: 16.7%; sample: 722020Feb 2020: 32.3%; sample: 65Mar 2020: suppressed: fewer than twenty movements×Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 0.0%; sample: 31Aug 2020: 4.1%; sample: 49Sep 2020: 0.0%; sample: 36Oct 2020: 0.0%; sample: 31Nov 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: 3.8%; sample: 26Jun 2021: 0.0%; sample: 52Jul 2021: 9.6%; sample: 52Aug 2021: 2.0%; sample: 49Sep 2021: 8.5%; sample: 59Oct 2021: 10.1%; sample: 69Nov 2021: 7.6%; sample: 66Dec 2021: 9.2%; sample: 65Jan 2022: 10.0%; sample: 402022Feb 2022: 25.8%; sample: 62Mar 2022: 12.9%; sample: 70Apr 2022: 24.6%; sample: 69May 2022: 30.0%; sample: 70Jun 2022: 37.5%; sample: 72Jul 2022: 45.1%; sample: 71Aug 2022: 45.7%; sample: 70Sep 2022: 39.0%; sample: 77Oct 2022: 32.5%; sample: 80Nov 2022: 9.5%; sample: 42Dec 2022: 46.4%; sample: 56Jan 2023: 19.6%; sample: 462023Feb 2023: 1.4%; sample: 71Mar 2023: 28.4%; sample: 81Apr 2023: 28.4%; sample: 81May 2023: 30.6%; sample: 85Jun 2023: 45.7%; sample: 81Jul 2023: 34.8%; sample: 69Aug 2023: 35.6%; sample: 73Sep 2023: 34.2%; sample: 79Oct 2023: 23.8%; sample: 84Nov 2023: 20.7%; sample: 82Dec 2023: 31.0%; sample: 84Jan 2024: 24.1%; sample: 542024Feb 2024: 23.8%; sample: 80Mar 2024: 12.1%; sample: 91Apr 2024: 19.8%; sample: 81May 2024: 26.9%; sample: 108Jun 2024: 31.8%; sample: 85Jul 2024: 36.9%; sample: 84Aug 2024: 27.4%; sample: 84Sep 2024: 37.8%; sample: 90Oct 2024: 18.3%; sample: 93Nov 2024: 17.6%; sample: 74Dec 2024: 20.8%; sample: 72Jan 2025: 24.6%; sample: 692025Feb 2025: 11.8%; sample: 68Mar 2025: 7.9%; sample: 76Apr 2025: 13.5%; sample: 89May 2025: 21.8%; sample: 87Jun 2025: 29.9%; sample: 87Jul 2025: 38.8%; sample: 80Aug 2025: 24.1%; sample: 79Sep 2025: 33.3%; sample: 90Oct 2025: 35.5%; sample: 93Nov 2025: 14.3%; sample: 77Dec 2025: 16.5%; sample: 85Jan 2026: 20.8%; sample: 772026Feb 2026: 16.7%; sample: 78Mar 2026: 20.5%; sample: 88Apr 2026: 20.9%; sample: 86May 2026: 25.7%; sample: 101Jun 2026: 23.1%; sample: 91Pandemic 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 201818.6% of 70 movements
Feb 201821.5% of 65 movements
Mar 201831.9% of 72 movements
Apr 201828.2% of 71 movements
May 201829.3% of 75 movements
Jun 201832.4% of 71 movements
Jul 201837.9% of 66 movements
Aug 201836.8% of 68 movements
Sep 201823.6% of 72 movements
Oct 201824.3% of 74 movements
Nov 201814.3% of 70 movements
Dec 201822.1% of 68 movements
Jan 201916.7% of 72 movements
Feb 201910.8% of 65 movements
Mar 201919.7% of 71 movements
Apr 201926.0% of 73 movements
May 201923.7% of 76 movements
Jun 201934.3% of 70 movements
Jul 201931.8% of 66 movements
Aug 201930.9% of 68 movements
Sep 201928.8% of 73 movements
Oct 201932.4% of 74 movements
Nov 201913.2% of 68 movements
Dec 201930.4% of 69 movements
Jan 202016.7% of 72 movements
Feb 202032.3% of 65 movements
Mar 2020suppressed: fewer than twenty movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 2020no events in 31 movements — small sample, not ranked
Aug 20204.1% of 49 movements — small sample, not ranked
Sep 2020no events in 36 movements — small sample, not ranked
Oct 2020no events in 31 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 20213.8% of 26 movements — small sample, not ranked
Jun 2021no events in 52 movements
Jul 20219.6% of 52 movements
Aug 20212.0% of 49 movements — small sample, not ranked
Sep 20218.5% of 59 movements
Oct 202110.1% of 69 movements
Nov 20217.6% of 66 movements
Dec 20219.2% of 65 movements
Jan 202210.0% of 40 movements — small sample, not ranked
Feb 202225.8% of 62 movements
Mar 202212.9% of 70 movements
Apr 202224.6% of 69 movements
May 202230.0% of 70 movements
Jun 202237.5% of 72 movements
Jul 202245.1% of 71 movements
Aug 202245.7% of 70 movements
Sep 202239.0% of 77 movements
Oct 202232.5% of 80 movements
Nov 20229.5% of 42 movements — small sample, not ranked
Dec 202246.4% of 56 movements
Jan 202319.6% of 46 movements — small sample, not ranked
Feb 20231.4% of 71 movements
Mar 202328.4% of 81 movements
Apr 202328.4% of 81 movements
May 202330.6% of 85 movements
Jun 202345.7% of 81 movements
Jul 202334.8% of 69 movements
Aug 202335.6% of 73 movements
Sep 202334.2% of 79 movements
Oct 202323.8% of 84 movements
Nov 202320.7% of 82 movements
Dec 202331.0% of 84 movements
Jan 202424.1% of 54 movements
Feb 202423.8% of 80 movements
Mar 202412.1% of 91 movements
Apr 202419.8% of 81 movements
May 202426.9% of 108 movements
Jun 202431.8% of 85 movements
Jul 202436.9% of 84 movements
Aug 202427.4% of 84 movements
Sep 202437.8% of 90 movements
Oct 202418.3% of 93 movements
Nov 202417.6% of 74 movements
Dec 202420.8% of 72 movements
Jan 202524.6% of 69 movements
Feb 202511.8% of 68 movements
Mar 20257.9% of 76 movements
Apr 202513.5% of 89 movements
May 202521.8% of 87 movements
Jun 202529.9% of 87 movements
Jul 202538.8% of 80 movements
Aug 202524.1% of 79 movements
Sep 202533.3% of 90 movements
Oct 202535.5% of 93 movements
Nov 202514.3% of 77 movements
Dec 202516.5% of 85 movements
Jan 202620.8% of 77 movements
Feb 202616.7% of 78 movements
Mar 202620.5% of 88 movements
Apr 202620.9% of 86 movements
May 202625.7% of 101 movements
Jun 202623.1% of 91 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 2022Arrivals45.1% of 71 movements15.7% across 743 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures45.1% of 71 movements14.9% across 742 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals35.6% of 73 movements30.2% across 839 flightsreturned after 2 months
NATS system failure · Aug 2023Departures38.9% of 72 movements26.1% across 836 flightsreturned after 3 months
Heathrow fire closure · Mar 2025Arrivals7.9% of 76 movements23.8% across 999 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures5.2% of 77 movements23.1% across 994 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, 37.4% of arrivals were disrupted, measured across 6 Julys in the archive. November has been the calmest, at 14.3% across 6 Novembers.

Even July has ranged from 31.8% to 45.1% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201916.7% of 72 movements10.8% of 65 movements19.7% of 71 movements26.0% of 73 movements23.7% of 76 movements34.3% of 70 movements31.8% of 66 movements30.9% of 68 movements28.8% of 73 movements32.4% of 74 movements13.2% of 68 movements30.4% of 69 movements202016.7% of 72 movements32.3% of 65 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno events in 31 movements †4.1% of 49 movements †no events in 36 movements †no events in 31 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 movements3.8% of 26 movements †no events in 52 movements9.6% of 52 movements2.0% of 49 movements †8.5% of 59 movements10.1% of 69 movements7.6% of 66 movements9.2% of 65 movements202210.0% of 40 movements †25.8% of 62 movements12.9% of 70 movements24.6% of 69 movements30.0% of 70 movements37.5% of 72 movements45.1% of 71 movements45.7% of 70 movements39.0% of 77 movements32.5% of 80 movements9.5% of 42 movements †46.4% of 56 movements202319.6% of 46 movements †1.4% of 71 movements28.4% of 81 movements28.4% of 81 movements30.6% of 85 movements45.7% of 81 movements34.8% of 69 movements35.6% of 73 movements34.2% of 79 movements23.8% of 84 movements20.7% of 82 movements31.0% of 84 movements202424.1% of 54 movements23.8% of 80 movements12.1% of 91 movements19.8% of 81 movements26.9% of 108 movements31.8% of 85 movements36.9% of 84 movements27.4% of 84 movements37.8% of 90 movements18.3% of 93 movements17.6% of 74 movements20.8% of 72 movements202524.6% of 69 movements11.8% of 68 movements7.9% of 76 movements13.5% of 89 movements21.8% of 87 movements29.9% of 87 movements38.8% of 80 movements24.1% of 79 movements33.3% of 90 movements35.5% of 93 movements14.3% of 77 movements16.5% of 85 movements202620.8% of 77 movements16.7% of 78 movements20.5% of 88 movements20.9% of 86 movements25.7% of 101 movements23.1% of 91 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan19.6%10.0–24.6%7 months, 428 flights
Feb16.7%1.4–25.8%7 months, 489 flights
Mar19.7%7.9–31.9%7 months, 549 flights
Apr24.6%13.5–28.4%7 months, 550 flights
May26.9%21.8–30.6%7 months, 602 flights
Jun32.4%23.1–45.7%7 months, 557 flights
Jul37.4%31.8–45.1%6 months, 436 flights
Aug33.2%24.1–45.7%6 months, 442 flights
Sep33.8%23.6–39.0%6 months, 481 flights
Oct28.4%18.3–35.5%6 months, 498 flights
Nov14.3%9.5–20.7%6 months, 413 flights
Dec26.2%16.5–46.4%6 months, 434 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, 24.4% of 1,025 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 Uk24.4% of 1,025 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
2 Excel Aviation The Blades Broadsword Scimitar Sabre And T2suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Airlinesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Switzerlandsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Uk1,02524.4% of 1,025 movements0.7% of 1,025 movements0.5% of 1,025 movementsdescriptive comparison
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
Wizz Airsuppressed: 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 24.4% of 1,025 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 flightsEdi ↔ Luton27.9% of 1,055 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
Edi ↔ Luton1,05527.9% of 1,055 movements0.3% of 1,055 movements0.3% of 1,055 movementsdescriptive comparison
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
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 GLA ran 24.4% of 1,025 movements disrupted, departures 22.4% of 1,025 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 GLA24.4% of 1,025 movements0.7% of 1,025 movements0.5% of 1,025 movements
Departures from GLA22.4% of 1,025 movements0.5% of 1,025 movements0.6% of 1,025 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 202622 flights out of 6,66822 × £220 = £4,840
ArrivalsLast 72 months · Jul 2020–Jun 202614 flights out of 4,84414 × £220 = £3,080
DeparturesWhole archive · Jan 2018–Jun 202626 flights out of 6,66426 × £220 = £5,720
DeparturesLast 72 months · Jul 2020–Jun 202617 flights out of 4,84017 × £220 = £3,740
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 airportGLASGOW · GLA
Final point / countryLUTON / UNITED KINGDOM
Final point codesLTN / EGGW
Great-circle distance518 km
Maximum statutory amount for the band£220
Average operated arrivals per day2.79
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: 1,025; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

24.4% of 1,025 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.7% of 1,025 movements in the same window.

How many delays crossed three hours?

0.5% of 1,025 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?

518 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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