UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

GLA ↔ LONDON CITY

In the twelve months from July 2025 to June 2026, 17.7% of 1,403 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, 82.3% of 1,403 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: no such event in this sample, which does not mean zero risk 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, 17.7% of 1,403 movements were disrupted and 1.7% of 1,403 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
17.7% of 1,403 movements1.7% of 1,403 movements23.2–55.7 min; N of delayed flights=224–4781,403
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: 1.7% of 1,403 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 min16.0%30 min9.6%60 min4.1%120 min0.6%180 min0.0%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min16.0% of 1,403 movements2246.3
>30 min9.6% of 1,403 movements13410.5
>60 min4.1% of 1,403 movements5724.6
>120 min0.6% of 1,403 movements8175.4
>180 minno events in 1,403 movements0no observed events, which is not zero risk
>360 minno events in 1,403 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 early20714.7%15–1 early69449.4%0–15 late25418.1%16–30906.4%31–60775.5%61…120493.5%121…18080.6%181…36000.0%>36000.0%D=1,404
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0000; 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: Nov 2021, 2.4% of 85 movements. Worst month: Jun 2023, 41.5% of 118 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: 21.0%; sample: 1242018Feb 2018: 30.9%; sample: 136Mar 2018: 27.2%; sample: 147Apr 2018: 20.9%; sample: 158May 2018: 23.3%; sample: 172Jun 2018: 34.9%; sample: 149Jul 2018: 37.4%; sample: 131Aug 2018: 34.6%; sample: 136Sep 2018: 14.8%; sample: 149Oct 2018: 20.8%; sample: 178Nov 2018: 15.8%; sample: 152Dec 2018: 21.2%; sample: 118Jan 2019: 13.4%; sample: 1272019Feb 2019: 22.1%; sample: 136Mar 2019: 31.7%; sample: 142Apr 2019: 8.2%; sample: 147May 2019: 10.8%; sample: 166Jun 2019: 19.6%; sample: 143Jul 2019: 27.0%; sample: 141Aug 2019: 30.4%; sample: 135Sep 2019: 26.6%; sample: 154Oct 2019: 19.1%; sample: 183Nov 2019: 11.1%; sample: 171Dec 2019: 16.9%; sample: 148Jan 2020: 12.7%; sample: 1422020Feb 2020: 27.3%; sample: 150Mar 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: suppressed: fewer than twenty movements×Aug 2020: suppressed: fewer than twenty movements×Sep 2020: 0.0%; sample: 26Oct 2020: suppressed: fewer than twenty movements×Nov 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: no data×May 2021: suppressed: fewer than twenty movements×Jun 2021: 2.2%; sample: 45Jul 2021: 4.9%; sample: 41Aug 2021: 7.7%; sample: 39Sep 2021: 9.5%; sample: 63Oct 2021: 6.5%; sample: 62Nov 2021: 2.4%; sample: 85Dec 2021: 2.6%; sample: 77Jan 2022: 3.3%; sample: 302022Feb 2022: 18.6%; sample: 59Mar 2022: 6.7%; sample: 104Apr 2022: 4.2%; sample: 120May 2022: 14.6%; sample: 130Jun 2022: 31.2%; sample: 109Jul 2022: 39.6%; sample: 101Aug 2022: 21.0%; sample: 105Sep 2022: 29.7%; sample: 111Oct 2022: 12.2%; sample: 115Nov 2022: 15.9%; sample: 132Dec 2022: 23.8%; sample: 105Jan 2023: 9.3%; sample: 1082023Feb 2023: 11.9%; sample: 118Mar 2023: 24.8%; sample: 129Apr 2023: 13.8%; sample: 116May 2023: 17.8%; sample: 129Jun 2023: 41.5%; sample: 118Jul 2023: 27.6%; sample: 105Aug 2023: 20.9%; sample: 115Sep 2023: 26.8%; sample: 123Oct 2023: 29.0%; sample: 138Nov 2023: 15.7%; sample: 140Dec 2023: 22.0%; sample: 109Jan 2024: 14.2%; sample: 1132024Feb 2024: 8.5%; sample: 117Mar 2024: 8.9%; sample: 124Apr 2024: 9.6%; sample: 125May 2024: 16.8%; sample: 125Jun 2024: 19.8%; sample: 96Jul 2024: 31.0%; sample: 100Aug 2024: 22.9%; sample: 96Sep 2024: 24.1%; sample: 116Oct 2024: 13.3%; sample: 135Nov 2024: 13.5%; sample: 126Dec 2024: 15.7%; sample: 102Jan 2025: 12.6%; sample: 1112025Feb 2025: 11.3%; sample: 115Mar 2025: 14.9%; sample: 121Apr 2025: 8.3%; sample: 109May 2025: 17.7%; sample: 113Jun 2025: 29.1%; sample: 103Jul 2025: 17.9%; sample: 106Aug 2025: 29.2%; sample: 96Sep 2025: 26.3%; sample: 118Oct 2025: 14.1%; sample: 128Nov 2025: 13.3%; sample: 128Dec 2025: 16.0%; sample: 100Jan 2026: 5.6%; sample: 1082026Feb 2026: 7.8%; sample: 116Mar 2026: 20.3%; sample: 128Apr 2026: 7.6%; sample: 132May 2026: 23.4%; sample: 124Jun 2026: 32.8%; sample: 119Pandemic 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 201821.0% of 124 movements
Feb 201830.9% of 136 movements
Mar 201827.2% of 147 movements
Apr 201820.9% of 158 movements
May 201823.3% of 172 movements
Jun 201834.9% of 149 movements
Jul 201837.4% of 131 movements
Aug 201834.6% of 136 movements
Sep 201814.8% of 149 movements
Oct 201820.8% of 178 movements
Nov 201815.8% of 152 movements
Dec 201821.2% of 118 movements
Jan 201913.4% of 127 movements
Feb 201922.1% of 136 movements
Mar 201931.7% of 142 movements
Apr 20198.2% of 147 movements
May 201910.8% of 166 movements
Jun 201919.6% of 143 movements
Jul 201927.0% of 141 movements
Aug 201930.4% of 135 movements
Sep 201926.6% of 154 movements
Oct 201919.1% of 183 movements
Nov 201911.1% of 171 movements
Dec 201916.9% of 148 movements
Jan 202012.7% of 142 movements
Feb 202027.3% of 150 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 2020suppressed: fewer than twenty movements
Aug 2020suppressed: fewer than twenty movements
Sep 2020no events in 26 movements — small sample, not ranked
Oct 2020suppressed: fewer than twenty movements
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 2021no data
May 2021suppressed: fewer than twenty movements
Jun 20212.2% of 45 movements — small sample, not ranked
Jul 20214.9% of 41 movements — small sample, not ranked
Aug 20217.7% of 39 movements — small sample, not ranked
Sep 20219.5% of 63 movements
Oct 20216.5% of 62 movements
Nov 20212.4% of 85 movements
Dec 20212.6% of 77 movements
Jan 20223.3% of 30 movements — small sample, not ranked
Feb 202218.6% of 59 movements
Mar 20226.7% of 104 movements
Apr 20224.2% of 120 movements
May 202214.6% of 130 movements
Jun 202231.2% of 109 movements
Jul 202239.6% of 101 movements
Aug 202221.0% of 105 movements
Sep 202229.7% of 111 movements
Oct 202212.2% of 115 movements
Nov 202215.9% of 132 movements
Dec 202223.8% of 105 movements
Jan 20239.3% of 108 movements
Feb 202311.9% of 118 movements
Mar 202324.8% of 129 movements
Apr 202313.8% of 116 movements
May 202317.8% of 129 movements
Jun 202341.5% of 118 movements
Jul 202327.6% of 105 movements
Aug 202320.9% of 115 movements
Sep 202326.8% of 123 movements
Oct 202329.0% of 138 movements
Nov 202315.7% of 140 movements
Dec 202322.0% of 109 movements
Jan 202414.2% of 113 movements
Feb 20248.5% of 117 movements
Mar 20248.9% of 124 movements
Apr 20249.6% of 125 movements
May 202416.8% of 125 movements
Jun 202419.8% of 96 movements
Jul 202431.0% of 100 movements
Aug 202422.9% of 96 movements
Sep 202424.1% of 116 movements
Oct 202413.3% of 135 movements
Nov 202413.5% of 126 movements
Dec 202415.7% of 102 movements
Jan 202512.6% of 111 movements
Feb 202511.3% of 115 movements
Mar 202514.9% of 121 movements
Apr 20258.3% of 109 movements
May 202517.7% of 113 movements
Jun 202529.1% of 103 movements
Jul 202517.9% of 106 movements
Aug 202529.2% of 96 movements
Sep 202526.3% of 118 movements
Oct 202514.1% of 128 movements
Nov 202513.3% of 128 movements
Dec 202516.0% of 100 movements
Jan 20265.6% of 108 movements
Feb 20267.8% of 116 movements
Mar 202620.3% of 128 movements
Apr 20267.6% of 132 movements
May 202623.4% of 124 movements
Jun 202632.8% of 119 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 2022Arrivals39.6% of 101 movements9.3% across 919 flightsreturned after 6 months
Summer 2022 breakdown · Jul 2022Departures30.4% of 102 movements9.7% across 921 flightsreturned after 3 months
NATS system failure · Aug 2023Arrivals20.9% of 115 movements20.8% across 1,391 flightsreturned after 3 months
NATS system failure · Aug 2023Departures14.9% of 114 movements17.6% across 1,390 flightsreturned after 3 months
Heathrow fire closure · Mar 2025Arrivals14.9% of 121 movements16.6% across 1,371 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures13.9% of 122 movements18.0% across 1,370 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?

June has historically been the hardest month on this route: in a typical June, 31.2% of arrivals were disrupted, measured across 7 Junes in the archive. April has been the calmest, at 8.3% across 7 Aprils.

Even June has ranged from 19.6% to 41.5% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201913.4% of 127 movements22.1% of 136 movements31.7% of 142 movements8.2% of 147 movements10.8% of 166 movements19.6% of 143 movements27.0% of 141 movements30.4% of 135 movements26.6% of 154 movements19.1% of 183 movements11.1% of 171 movements16.9% of 148 movements202012.7% of 142 movements27.3% of 150 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno events in 26 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno datasuppressed: fewer than twenty movements2.2% of 45 movements †4.9% of 41 movements †7.7% of 39 movements †9.5% of 63 movements6.5% of 62 movements2.4% of 85 movements2.6% of 77 movements20223.3% of 30 movements †18.6% of 59 movements6.7% of 104 movements4.2% of 120 movements14.6% of 130 movements31.2% of 109 movements39.6% of 101 movements21.0% of 105 movements29.7% of 111 movements12.2% of 115 movements15.9% of 132 movements23.8% of 105 movements20239.3% of 108 movements11.9% of 118 movements24.8% of 129 movements13.8% of 116 movements17.8% of 129 movements41.5% of 118 movements27.6% of 105 movements20.9% of 115 movements26.8% of 123 movements29.0% of 138 movements15.7% of 140 movements22.0% of 109 movements202414.2% of 113 movements8.5% of 117 movements8.9% of 124 movements9.6% of 125 movements16.8% of 125 movements19.8% of 96 movements31.0% of 100 movements22.9% of 96 movements24.1% of 116 movements13.3% of 135 movements13.5% of 126 movements15.7% of 102 movements202512.6% of 111 movements11.3% of 115 movements14.9% of 121 movements8.3% of 109 movements17.7% of 113 movements29.1% of 103 movements17.9% of 106 movements29.2% of 96 movements26.3% of 118 movements14.1% of 128 movements13.3% of 128 movements16.0% of 100 movements20265.6% of 108 movements7.8% of 116 movements20.3% of 128 movements7.6% of 132 movements23.4% of 124 movements32.8% of 119 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan12.6%3.3–21.0%7 months, 721 flights
Feb11.9%7.8–30.9%7 months, 797 flights
Mar20.3%6.7–31.7%7 months, 895 flights
Apr8.3%4.2–20.9%7 months, 907 flights
May17.7%10.8–23.4%7 months, 959 flights
Jun31.2%19.6–41.5%7 months, 837 flights
Jul29.3%17.9–39.6%6 months, 684 flights
Aug26.0%20.9–34.6%6 months, 683 flights
Sep26.4%14.8–29.7%6 months, 771 flights
Oct16.6%12.2–29.0%6 months, 877 flights
Nov14.6%11.1–15.9%6 months, 849 flights
Dec19.0%15.7–23.8%6 months, 682 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?

On the published record there is no clear winner: Ba Cityflyer 16.2% of 1,379 movements, British Airways 100.0% of 24 movements — small sample, not ranked. Not enough comparable carriers.

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 optionBa Cityflyer16.2% of 1,379 flightsBritish Airways †100.0% of 24 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Ba Cityflyer1,37916.2% of 1,379 movementsno events in 1,379 movementsno events in 1,379 movementsdescriptive comparison
British Airways24100.0% of 24 movements — small sample, not ranked100.0% of 24 movements — small sample, not rankedno events in 24 movements — small sample, not rankedsmall sample; not ranked
Flybesuppressed: 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
Loganairsuppressed: 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, EDI had the lowest disruption share at 18.0% of 2,036 movements and BHD the highest at 21.5% of 768 movements. This route sits at 17.7% of 1,403 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 optionBhd ↔ London-City21.5% of 768 flightsEdi ↔ London-City18.0% of 2,036 flightsIom ↔ London-City19.8% of 400 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ London-Citysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ London-Citysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ London-City76821.5% of 768 movements1.4% of 768 movementsno events in 768 movementsdescriptive comparison
Bhx ↔ London-Citysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Boh ↔ London-Citysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ London-Citysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Cwl ↔ London-Citysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ London-Citysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Durham-Tees-Valley ↔ London-Citysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ London-City2,03618.0% of 2,036 movements1.3% of 2,036 movements0.1% of 2,036 movementsdescriptive comparison
Ext ↔ London-Citysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Iom ↔ London-City40019.8% of 400 movements7.0% of 400 movementsno events in 400 movementsdescriptive comparison
Jer ↔ London-Citysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ London-Citysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ London-Citysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lhr ↔ London-Citysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ London-Citysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ London-Citysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ London-Citysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Mme ↔ London-Citysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ London-Citysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sen ↔ London-Citysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sou ↔ London-Citysuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ London-Citysuppressed: 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 17.7% of 1,403 movements disrupted, departures 16.7% of 1,400 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 GLA17.7% of 1,403 movements1.7% of 1,403 movementsno events in 1,403 movements
Departures from GLA16.7% of 1,400 movements1.8% of 1,400 movements0.5% of 1,400 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 20265 flights out of 10,4335 × £220 = £1,100
ArrivalsLast 72 months · Jul 2020–Jun 20265 flights out of 6,5985 × £220 = £1,100
DeparturesWhole archive · Jan 2018–Jun 202628 flights out of 10,42528 × £220 = £6,160
DeparturesLast 72 months · Jul 2020–Jun 202624 flights out of 6,59424 × £220 = £5,280
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 / countryLONDON CITY / UNITED KINGDOM
Final point codesLCY / EGLC
Great-circle distance568 km
Maximum statutory amount for the band£220
Average operated arrivals per day3.78
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 archive92

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: 1; all recorded operations: 1,404; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

17.7% of 1,403 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

1.7% of 1,403 movements in the same window.

How many delays crossed three hours?

no events in 1,403 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?

568 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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