UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LTN ↔ GLASGOW

In the twelve months from July 2025 to June 2026, 21.7% of 1,025 movements arriving into LTN were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 78.3% of 1,025 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 171 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, 21.7% of 1,025 movements were disrupted and 0.4% 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
21.7% of 1,025 movements0.4% of 1,025 movements28.7–61.5 min; N of delayed flights=218–4321,025
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: 0.4% 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 min21.3%30 min11.9%60 min6.3%120 min1.6%180 min0.6%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min21.3% of 1,025 movements2184.7
>30 min11.9% of 1,025 movements1228.4
>60 min6.3% of 1,025 movements6515.8
>120 min1.6% of 1,025 movements1664.1
>180 min0.6% of 1,025 movements6170.8
>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 early14113.8%15–1 early44843.7%0–15 late21420.9%16–30969.4%31–60575.6%61…120494.8%121…180101.0%181…36060.6%>36000.0%D=1,025
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0392; 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: Mar 2025, 2.6% of 77 movements. Worst month: Jul 2018, 40.3% of 67 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: 11.1%; sample: 722018Feb 2018: 13.8%; sample: 65Mar 2018: 28.8%; sample: 73Apr 2018: 30.6%; sample: 72May 2018: 25.3%; sample: 75Jun 2018: 28.2%; sample: 71Jul 2018: 40.3%; sample: 67Aug 2018: 31.9%; sample: 69Sep 2018: 15.5%; sample: 71Oct 2018: 21.6%; sample: 74Nov 2018: 14.1%; sample: 71Dec 2018: 10.0%; sample: 70Jan 2019: 9.7%; sample: 722019Feb 2019: 9.2%; sample: 65Mar 2019: 12.7%; sample: 71Apr 2019: 23.0%; sample: 74May 2019: 18.4%; sample: 76Jun 2019: 33.8%; sample: 71Jul 2019: 28.8%; sample: 66Aug 2019: 28.4%; sample: 67Sep 2019: 27.4%; sample: 73Oct 2019: 31.1%; sample: 74Nov 2019: 14.7%; sample: 68Dec 2019: 26.1%; sample: 69Jan 2020: 16.2%; sample: 742020Feb 2020: 24.2%; sample: 66Mar 2020: 18.4%; sample: 49Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 3.2%; sample: 31Aug 2020: 8.2%; 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: 5.7%; sample: 53Jul 2021: 9.6%; sample: 52Aug 2021: 2.0%; sample: 49Sep 2021: 9.8%; sample: 61Oct 2021: 10.1%; sample: 69Nov 2021: 3.0%; sample: 66Dec 2021: 7.7%; sample: 65Jan 2022: 2.4%; sample: 412022Feb 2022: 21.3%; sample: 61Mar 2022: 10.0%; sample: 70Apr 2022: 14.5%; sample: 69May 2022: 23.9%; sample: 71Jun 2022: 27.4%; sample: 73Jul 2022: 38.0%; sample: 71Aug 2022: 34.3%; sample: 70Sep 2022: 37.7%; sample: 77Oct 2022: 23.5%; sample: 81Nov 2022: 7.1%; sample: 42Dec 2022: 29.6%; sample: 54Jan 2023: 10.9%; sample: 462023Feb 2023: 4.2%; sample: 71Mar 2023: 20.0%; sample: 80Apr 2023: 24.7%; sample: 81May 2023: 24.1%; sample: 83Jun 2023: 37.3%; sample: 83Jul 2023: 33.3%; sample: 69Aug 2023: 34.7%; sample: 72Sep 2023: 25.3%; sample: 79Oct 2023: 23.8%; sample: 84Nov 2023: 11.0%; sample: 82Dec 2023: 26.5%; sample: 83Jan 2024: 13.0%; sample: 542024Feb 2024: 15.0%; sample: 80Mar 2024: 9.0%; sample: 89Apr 2024: 18.5%; sample: 81May 2024: 25.2%; sample: 107Jun 2024: 28.2%; sample: 85Jul 2024: 36.9%; sample: 84Aug 2024: 25.0%; sample: 84Sep 2024: 38.5%; sample: 91Oct 2024: 21.7%; sample: 92Nov 2024: 14.9%; sample: 74Dec 2024: 18.1%; sample: 72Jan 2025: 17.6%; sample: 682025Feb 2025: 8.8%; sample: 68Mar 2025: 2.6%; sample: 77Apr 2025: 4.4%; sample: 90May 2025: 11.2%; sample: 89Jun 2025: 24.1%; sample: 87Jul 2025: 33.8%; sample: 80Aug 2025: 31.6%; sample: 79Sep 2025: 22.2%; sample: 90Oct 2025: 26.1%; sample: 92Nov 2025: 10.4%; sample: 77Dec 2025: 13.1%; sample: 84Jan 2026: 19.5%; sample: 772026Feb 2026: 12.8%; sample: 78Mar 2026: 16.9%; sample: 89Apr 2026: 20.7%; sample: 87May 2026: 24.8%; sample: 101Jun 2026: 26.4%; 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 201811.1% of 72 movements
Feb 201813.8% of 65 movements
Mar 201828.8% of 73 movements
Apr 201830.6% of 72 movements
May 201825.3% of 75 movements
Jun 201828.2% of 71 movements
Jul 201840.3% of 67 movements
Aug 201831.9% of 69 movements
Sep 201815.5% of 71 movements
Oct 201821.6% of 74 movements
Nov 201814.1% of 71 movements
Dec 201810.0% of 70 movements
Jan 20199.7% of 72 movements
Feb 20199.2% of 65 movements
Mar 201912.7% of 71 movements
Apr 201923.0% of 74 movements
May 201918.4% of 76 movements
Jun 201933.8% of 71 movements
Jul 201928.8% of 66 movements
Aug 201928.4% of 67 movements
Sep 201927.4% of 73 movements
Oct 201931.1% of 74 movements
Nov 201914.7% of 68 movements
Dec 201926.1% of 69 movements
Jan 202016.2% of 74 movements
Feb 202024.2% of 66 movements
Mar 202018.4% of 49 movements — small sample, not ranked
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 20203.2% of 31 movements — small sample, not ranked
Aug 20208.2% 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 20215.7% of 53 movements
Jul 20219.6% of 52 movements
Aug 20212.0% of 49 movements — small sample, not ranked
Sep 20219.8% of 61 movements
Oct 202110.1% of 69 movements
Nov 20213.0% of 66 movements
Dec 20217.7% of 65 movements
Jan 20222.4% of 41 movements — small sample, not ranked
Feb 202221.3% of 61 movements
Mar 202210.0% of 70 movements
Apr 202214.5% of 69 movements
May 202223.9% of 71 movements
Jun 202227.4% of 73 movements
Jul 202238.0% of 71 movements
Aug 202234.3% of 70 movements
Sep 202237.7% of 77 movements
Oct 202223.5% of 81 movements
Nov 20227.1% of 42 movements — small sample, not ranked
Dec 202229.6% of 54 movements
Jan 202310.9% of 46 movements — small sample, not ranked
Feb 20234.2% of 71 movements
Mar 202320.0% of 80 movements
Apr 202324.7% of 81 movements
May 202324.1% of 83 movements
Jun 202337.3% of 83 movements
Jul 202333.3% of 69 movements
Aug 202334.7% of 72 movements
Sep 202325.3% of 79 movements
Oct 202323.8% of 84 movements
Nov 202311.0% of 82 movements
Dec 202326.5% of 83 movements
Jan 202413.0% of 54 movements
Feb 202415.0% of 80 movements
Mar 20249.0% of 89 movements
Apr 202418.5% of 81 movements
May 202425.2% of 107 movements
Jun 202428.2% of 85 movements
Jul 202436.9% of 84 movements
Aug 202425.0% of 84 movements
Sep 202438.5% of 91 movements
Oct 202421.7% of 92 movements
Nov 202414.9% of 74 movements
Dec 202418.1% of 72 movements
Jan 202517.6% of 68 movements
Feb 20258.8% of 68 movements
Mar 20252.6% of 77 movements
Apr 20254.4% of 90 movements
May 202511.2% of 89 movements
Jun 202524.1% of 87 movements
Jul 202533.8% of 80 movements
Aug 202531.6% of 79 movements
Sep 202522.2% of 90 movements
Oct 202526.1% of 92 movements
Nov 202510.4% of 77 movements
Dec 202513.1% of 84 movements
Jan 202619.5% of 77 movements
Feb 202612.8% of 78 movements
Mar 202616.9% of 89 movements
Apr 202620.7% of 87 movements
May 202624.8% of 101 movements
Jun 202626.4% 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 2022Arrivals38.0% of 71 movements11.8% across 747 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures54.9% of 71 movements18.1% across 746 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals34.7% of 72 movements23.9% across 837 flightsreturned after 2 months
NATS system failure · Aug 2023Departures38.9% of 72 movements33.6% across 837 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals2.6% of 77 movements21.9% across 995 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures10.5% of 76 movements23.7% across 993 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, 35.3% of arrivals were disrupted, measured across 6 Julys in the archive. January has been the calmest, at 11.1% across 7 Januarys.

Even July has ranged from 28.8% to 40.3% 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 nJanFebMarAprMayJunJulAugSepOctNovDec20199.7% of 72 movements9.2% of 65 movements12.7% of 71 movements23.0% of 74 movements18.4% of 76 movements33.8% of 71 movements28.8% of 66 movements28.4% of 67 movements27.4% of 73 movements31.1% of 74 movements14.7% of 68 movements26.1% of 69 movements202016.2% of 74 movements24.2% of 66 movements18.4% of 49 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements3.2% of 31 movements †8.2% 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 †5.7% of 53 movements9.6% of 52 movements2.0% of 49 movements †9.8% of 61 movements10.1% of 69 movements3.0% of 66 movements7.7% of 65 movements20222.4% of 41 movements †21.3% of 61 movements10.0% of 70 movements14.5% of 69 movements23.9% of 71 movements27.4% of 73 movements38.0% of 71 movements34.3% of 70 movements37.7% of 77 movements23.5% of 81 movements7.1% of 42 movements †29.6% of 54 movements202310.9% of 46 movements †4.2% of 71 movements20.0% of 80 movements24.7% of 81 movements24.1% of 83 movements37.3% of 83 movements33.3% of 69 movements34.7% of 72 movements25.3% of 79 movements23.8% of 84 movements11.0% of 82 movements26.5% of 83 movements202413.0% of 54 movements15.0% of 80 movements9.0% of 89 movements18.5% of 81 movements25.2% of 107 movements28.2% of 85 movements36.9% of 84 movements25.0% of 84 movements38.5% of 91 movements21.7% of 92 movements14.9% of 74 movements18.1% of 72 movements202517.6% of 68 movements8.8% of 68 movements2.6% of 77 movements4.4% of 90 movements11.2% of 89 movements24.1% of 87 movements33.8% of 80 movements31.6% of 79 movements22.2% of 90 movements26.1% of 92 movements10.4% of 77 movements13.1% of 84 movements202619.5% of 77 movements12.8% of 78 movements16.9% of 89 movements20.7% of 87 movements24.8% of 101 movements26.4% of 91 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan11.1%2.4–19.5%7 months, 430 flights
Feb12.8%4.2–21.3%7 months, 488 flights
Mar12.7%2.6–28.8%7 months, 549 flights
Apr20.7%4.4–30.6%7 months, 554 flights
May24.1%11.2–25.3%7 months, 602 flights
Jun28.2%24.1–37.3%7 months, 561 flights
Jul35.3%28.8–40.3%6 months, 437 flights
Aug31.8%25.0–34.7%6 months, 441 flights
Sep26.4%15.5–38.5%6 months, 481 flights
Oct23.6%21.6–31.1%6 months, 497 flights
Nov12.5%7.1–14.9%6 months, 414 flights
Dec22.1%10.0–29.6%6 months, 432 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, 21.7% of 1,024 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 Uk21.7% of 1,024 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
British Airwayssuppressed: 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 Uk1,02421.7% of 1,024 movements0.4% of 1,024 movements0.6% of 1,024 movementsdescriptive comparison
Jet2.Comsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Netjets Transportes Aereossuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ryanairsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Thomas Cook Airlinessuppressed: 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, BHX had the lowest disruption share at 9.0% of 643 movements and BHD the highest at 24.1% of 644 movements. This route sits at 21.7% 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 optionBfs ↔ Glasgow15.8% of 1,179 flightsBhd ↔ Glasgow24.1% of 644 flightsBhx ↔ Glasgow9.0% of 643 flightsBrs ↔ Glasgow22.7% of 1,027 flightsJer ↔ Glasgow19.2% of 156 flightsLcy ↔ Glasgow14.7% of 1,391 flightsLgw ↔ Glasgow19.9% of 1,717 flightsLhr ↔ Glasgow15.2% of 3,553 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Glasgowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Glasgow1,17915.8% of 1,179 movements0.5% of 1,179 movements0.3% of 1,179 movementsdescriptive comparison
Bhd ↔ Glasgow64424.1% of 644 movements0.8% of 644 movements1.4% of 644 movementsdescriptive comparison
Bhx ↔ Glasgow6439.0% of 643 movements0.6% of 643 movements0.2% of 643 movementsdescriptive comparison
Boh ↔ Glasgowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Glasgow1,02722.7% of 1,027 movements1.0% of 1,027 movements0.1% of 1,027 movementsdescriptive comparison
Cwl ↔ Glasgowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Glasgowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Glasgowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ema ↔ Glasgowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Glasgowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Iom ↔ Glasgowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jer ↔ Glasgow15619.2% of 156 movements0.6% of 156 movements0.6% of 156 movementsdescriptive comparison
Lba ↔ Glasgowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lcy ↔ Glasgow1,39114.7% of 1,391 movements1.6% of 1,391 movements0.4% of 1,391 movementsdescriptive comparison
Lgw ↔ Glasgow1,71719.9% of 1,717 movements0.2% of 1,717 movements0.2% of 1,717 movementsdescriptive comparison
Lhr ↔ Glasgow3,55315.2% of 3,553 movements1.2% of 3,553 movements0.1% of 3,553 movementsdescriptive comparison
Lpl ↔ Glasgowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Glasgowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Mme ↔ Glasgowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ Glasgowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sen ↔ Glasgowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sou ↔ Glasgow32415.4% of 324 movements0.3% of 324 movementsno events in 324 movementsdescriptive comparison
Stn ↔ Glasgow92212.7% of 922 movements0.2% of 922 movements0.2% of 922 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into LTN ran 21.7% of 1,025 movements disrupted, departures 24.8% of 1,024 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 LTN21.7% of 1,025 movements0.4% of 1,025 movements0.6% of 1,025 movements
Departures from LTN24.8% of 1,024 movements0.4% of 1,024 movements0.5% of 1,024 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 202626 flights out of 6,73126 × £220 = £5,720
ArrivalsLast 72 months · Jul 2020–Jun 202617 flights out of 4,84617 × £220 = £3,740
DeparturesWhole archive · Jan 2018–Jun 202619 flights out of 6,72119 × £220 = £4,180
DeparturesLast 72 months · Jul 2020–Jun 202612 flights out of 4,84012 × £220 = £2,640
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 airportLUTON · LTN
Final point / countryGLASGOW / UNITED KINGDOM
Final point codesGLA / EGPF
Great-circle distance518 km
Maximum statutory amount for the band£220
Average operated arrivals per day2.80
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: 1,025; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

21.7% 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?

0.4% of 1,025 movements in the same window.

How many delays crossed three hours?

0.6% 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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