UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

GLA ↔ BIRMINGHAM

In the twelve months from July 2025 to June 2026, 13.7% of 650 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, 86.3% of 650 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 650 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, 13.7% of 650 movements were disrupted and 0.9% of 650 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
13.7% of 650 movements0.9% of 650 movements20.5–57.6 min; N of delayed flights=83–202650
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: 0.9% of 650 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 min12.8%30 min6.2%60 min3.7%120 min0.8%180 min0.2%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min12.8% of 650 movements837.8
>30 min6.2% of 650 movements4016.2
>60 min3.7% of 650 movements2427.1
>120 min0.8% of 650 movements5130.0
>180 min0.2% of 650 movements1650.0
>360 minno events in 650 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 early7411.4%15–1 early36856.6%0–15 late11918.3%16–30436.6%31–60162.5%61…120192.9%121…18040.6%181…36010.2%>36000.0%D=650
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0169; 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: Jul 2021, no events in 50 movements. Worst month: Jun 2019, 41.3% of 172 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: 14.9%; sample: 1682018Feb 2018: 22.6%; sample: 164Mar 2018: 30.2%; sample: 179Apr 2018: 13.6%; sample: 177May 2018: 23.5%; sample: 183Jun 2018: 39.9%; sample: 178Jul 2018: 37.6%; sample: 186Aug 2018: 29.1%; sample: 182Sep 2018: 32.9%; sample: 173Oct 2018: 23.5%; sample: 183Nov 2018: 19.0%; sample: 174Dec 2018: 37.5%; sample: 152Jan 2019: 18.8%; sample: 1542019Feb 2019: 23.8%; sample: 151Mar 2019: 22.8%; sample: 171Apr 2019: 26.7%; sample: 176May 2019: 21.0%; sample: 181Jun 2019: 41.3%; sample: 172Jul 2019: 36.0%; sample: 189Aug 2019: 27.3%; sample: 183Sep 2019: 18.8%; sample: 165Oct 2019: 11.9%; sample: 177Nov 2019: 10.3%; sample: 156Dec 2019: 8.2%; sample: 134Jan 2020: 2.2%; sample: 1382020Feb 2020: 8.0%; 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: 0.0%; sample: 28Aug 2020: 2.3%; sample: 43Sep 2020: 0.0%; sample: 24Oct 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: 5.6%; sample: 36Jul 2021: 0.0%; sample: 50Aug 2021: 7.4%; sample: 27Sep 2021: 2.1%; sample: 48Oct 2021: 5.8%; sample: 52Nov 2021: 5.8%; sample: 52Dec 2021: 9.3%; sample: 54Jan 2022: 0.0%; sample: 432022Feb 2022: 14.6%; sample: 48Mar 2022: 5.2%; sample: 58Apr 2022: 15.3%; sample: 59May 2022: 16.9%; sample: 65Jun 2022: 30.9%; sample: 68Jul 2022: 25.8%; sample: 66Aug 2022: 18.4%; sample: 114Sep 2022: 30.4%; sample: 125Oct 2022: 25.4%; sample: 122Nov 2022: 20.0%; sample: 65Dec 2022: 35.2%; sample: 105Jan 2023: 11.1%; sample: 992023Feb 2023: 2.6%; sample: 39Mar 2023: 8.9%; sample: 45Apr 2023: 2.2%; sample: 46May 2023: 13.7%; sample: 73Jun 2023: 17.9%; sample: 67Jul 2023: 21.1%; sample: 57Aug 2023: 24.1%; sample: 58Sep 2023: 27.8%; sample: 72Oct 2023: 12.3%; sample: 73Nov 2023: 26.5%; sample: 34Dec 2023: 21.2%; sample: 33Jan 2024: 15.6%; sample: 322024Feb 2024: 9.1%; sample: 33Mar 2024: 5.6%; sample: 36Apr 2024: 21.9%; sample: 64May 2024: 18.4%; sample: 87Jun 2024: 32.9%; sample: 76Jul 2024: 28.8%; sample: 73Aug 2024: 23.9%; sample: 71Sep 2024: 22.8%; sample: 79Oct 2024: 20.3%; sample: 69Nov 2024: 21.4%; sample: 42Dec 2024: 22.0%; sample: 41Jan 2025: 26.8%; sample: 412025Feb 2025: 11.1%; sample: 36Mar 2025: 0.0%; sample: 41Apr 2025: 2.3%; sample: 44May 2025: 6.9%; sample: 58Jun 2025: 21.1%; sample: 57Jul 2025: 13.8%; sample: 58Aug 2025: 15.8%; sample: 57Sep 2025: 8.9%; sample: 56Oct 2025: 10.5%; sample: 57Nov 2025: 5.6%; sample: 54Dec 2025: 16.1%; sample: 56Jan 2026: 19.6%; sample: 512026Feb 2026: 9.6%; sample: 52Mar 2026: 6.8%; sample: 59Apr 2026: 15.7%; sample: 51May 2026: 18.4%; sample: 49Jun 2026: 26.0%; sample: 50Pandemic 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 201814.9% of 168 movements
Feb 201822.6% of 164 movements
Mar 201830.2% of 179 movements
Apr 201813.6% of 177 movements
May 201823.5% of 183 movements
Jun 201839.9% of 178 movements
Jul 201837.6% of 186 movements
Aug 201829.1% of 182 movements
Sep 201832.9% of 173 movements
Oct 201823.5% of 183 movements
Nov 201819.0% of 174 movements
Dec 201837.5% of 152 movements
Jan 201918.8% of 154 movements
Feb 201923.8% of 151 movements
Mar 201922.8% of 171 movements
Apr 201926.7% of 176 movements
May 201921.0% of 181 movements
Jun 201941.3% of 172 movements
Jul 201936.0% of 189 movements
Aug 201927.3% of 183 movements
Sep 201918.8% of 165 movements
Oct 201911.9% of 177 movements
Nov 201910.3% of 156 movements
Dec 20198.2% of 134 movements
Jan 20202.2% of 138 movements
Feb 20208.0% 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 2020no events in 28 movements — small sample, not ranked
Aug 20202.3% of 43 movements — small sample, not ranked
Sep 2020no events in 24 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 20215.6% of 36 movements — small sample, not ranked
Jul 2021no events in 50 movements
Aug 20217.4% of 27 movements — small sample, not ranked
Sep 20212.1% of 48 movements — small sample, not ranked
Oct 20215.8% of 52 movements
Nov 20215.8% of 52 movements
Dec 20219.3% of 54 movements
Jan 2022no events in 43 movements — small sample, not ranked
Feb 202214.6% of 48 movements — small sample, not ranked
Mar 20225.2% of 58 movements
Apr 202215.3% of 59 movements
May 202216.9% of 65 movements
Jun 202230.9% of 68 movements
Jul 202225.8% of 66 movements
Aug 202218.4% of 114 movements
Sep 202230.4% of 125 movements
Oct 202225.4% of 122 movements
Nov 202220.0% of 65 movements
Dec 202235.2% of 105 movements
Jan 202311.1% of 99 movements
Feb 20232.6% of 39 movements — small sample, not ranked
Mar 20238.9% of 45 movements — small sample, not ranked
Apr 20232.2% of 46 movements — small sample, not ranked
May 202313.7% of 73 movements
Jun 202317.9% of 67 movements
Jul 202321.1% of 57 movements
Aug 202324.1% of 58 movements
Sep 202327.8% of 72 movements
Oct 202312.3% of 73 movements
Nov 202326.5% of 34 movements — small sample, not ranked
Dec 202321.2% of 33 movements — small sample, not ranked
Jan 202415.6% of 32 movements — small sample, not ranked
Feb 20249.1% of 33 movements — small sample, not ranked
Mar 20245.6% of 36 movements — small sample, not ranked
Apr 202421.9% of 64 movements
May 202418.4% of 87 movements
Jun 202432.9% of 76 movements
Jul 202428.8% of 73 movements
Aug 202423.9% of 71 movements
Sep 202422.8% of 79 movements
Oct 202420.3% of 69 movements
Nov 202421.4% of 42 movements — small sample, not ranked
Dec 202422.0% of 41 movements — small sample, not ranked
Jan 202526.8% of 41 movements — small sample, not ranked
Feb 202511.1% of 36 movements — small sample, not ranked
Mar 2025no events in 41 movements — small sample, not ranked
Apr 20252.3% of 44 movements — small sample, not ranked
May 20256.9% of 58 movements
Jun 202521.1% of 57 movements
Jul 202513.8% of 58 movements
Aug 202515.8% of 57 movements
Sep 20258.9% of 56 movements
Oct 202510.5% of 57 movements
Nov 20255.6% of 54 movements
Dec 202516.1% of 56 movements
Jan 202619.6% of 51 movements
Feb 20269.6% of 52 movements
Mar 20266.8% of 59 movements
Apr 202615.7% of 51 movements
May 202618.4% of 49 movements — small sample, not ranked
Jun 202626.0% of 50 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 2022Arrivals25.8% of 66 movements9.4% across 624 flightsreturned after 7 months
Summer 2022 breakdown · Jul 2022Departures21.2% of 66 movements6.9% across 626 flightsreturned after 7 months
NATS system failure · Aug 2023Arrivals24.1% of 58 movements17.2% across 957 flightsreturned after 2 months
NATS system failure · Aug 2023Departures20.7% of 58 movements19.3% across 955 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivalsno events in 41 movements — small sample, not ranked21.3% across 715 flightsreturned the next month
Heathrow fire closure · Mar 2025Departuresno events in 41 movements — small sample, not ranked16.3% across 714 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, 30.9% of arrivals were disrupted, measured across 7 Junes in the archive. March has been the calmest, at 6.8% across 7 Marchs.

Even June has ranged from 17.9% to 41.3% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201918.8% of 154 movements23.8% of 151 movements22.8% of 171 movements26.7% of 176 movements21.0% of 181 movements41.3% of 172 movements36.0% of 189 movements27.3% of 183 movements18.8% of 165 movements11.9% of 177 movements10.3% of 156 movements8.2% of 134 movements20202.2% of 138 movements8.0% of 150 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno events in 28 movements †2.3% of 43 movements †no events in 24 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 movements5.6% of 36 movements †no events in 50 movements7.4% of 27 movements †2.1% of 48 movements †5.8% of 52 movements5.8% of 52 movements9.3% of 54 movements2022no events in 43 movements †14.6% of 48 movements †5.2% of 58 movements15.3% of 59 movements16.9% of 65 movements30.9% of 68 movements25.8% of 66 movements18.4% of 114 movements30.4% of 125 movements25.4% of 122 movements20.0% of 65 movements35.2% of 105 movements202311.1% of 99 movements2.6% of 39 movements †8.9% of 45 movements †2.2% of 46 movements †13.7% of 73 movements17.9% of 67 movements21.1% of 57 movements24.1% of 58 movements27.8% of 72 movements12.3% of 73 movements26.5% of 34 movements †21.2% of 33 movements †202415.6% of 32 movements †9.1% of 33 movements †5.6% of 36 movements †21.9% of 64 movements18.4% of 87 movements32.9% of 76 movements28.8% of 73 movements23.9% of 71 movements22.8% of 79 movements20.3% of 69 movements21.4% of 42 movements †22.0% of 41 movements †202526.8% of 41 movements †11.1% of 36 movements †no events in 41 movements †2.3% of 44 movements †6.9% of 58 movements21.1% of 57 movements13.8% of 58 movements15.8% of 57 movements8.9% of 56 movements10.5% of 57 movements5.6% of 54 movements16.1% of 56 movements202619.6% of 51 movements9.6% of 52 movements6.8% of 59 movements15.7% of 51 movements18.4% of 49 movements †26.0% of 50 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan15.6%0.0–26.8%7 months, 588 flights
Feb11.1%2.6–23.8%7 months, 523 flights
Mar6.8%0.0–30.2%7 months, 589 flights
Apr15.3%2.2–26.7%7 months, 617 flights
May18.4%6.9–23.5%7 months, 696 flights
Jun30.9%17.9–41.3%7 months, 668 flights
Jul27.3%13.8–37.6%6 months, 629 flights
Aug24.0%15.8–29.1%6 months, 665 flights
Sep25.3%8.9–32.9%6 months, 670 flights
Oct16.3%10.5–25.4%6 months, 681 flights
Nov19.5%5.6–26.5%6 months, 525 flights
Dec21.6%8.2–37.5%6 months, 521 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, 13.7% of 650 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 Uk13.7% of 650 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
Aer Lingussuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Air Horizontsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Eastern Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Uk65013.7% of 650 movements0.9% of 650 movements0.2% of 650 movementsdescriptive comparison
Flybesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Hop - R C A Esuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Icelandairsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
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

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, JER had the lowest disruption share at 13.3% of 105 movements and BHD the highest at 29.6% of 1,999 movements. This route sits at 13.7% of 650 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 ↔ Birmingham21.1% of 748 flightsBfs ↔ Birmingham20.4% of 1,262 flightsBhd ↔ Birmingham29.6% of 1,999 flightsEdi ↔ Birmingham25.4% of 1,004 flightsIom ↔ Birmingham22.1% of 276 flightsJer ↔ Birmingham13.3% of 105 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Birmingham74821.1% of 748 movements3.2% of 748 movements0.3% of 748 movementsdescriptive comparison
Bfs ↔ Birmingham1,26220.4% of 1,262 movements0.7% of 1,262 movements0.7% of 1,262 movementsdescriptive comparison
Bhd ↔ Birmingham1,99929.6% of 1,999 movements4.3% of 1,999 movements1.1% of 1,999 movementsdescriptive comparison
Boh ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Cwl ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Durham-Tees-Valley ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Birmingham1,00425.4% of 1,004 movements1.2% of 1,004 movements0.4% of 1,004 movementsdescriptive comparison
Ema ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Iom ↔ Birmingham27622.1% of 276 movements3.3% of 276 movements1.1% of 276 movementsdescriptive comparison
Jer ↔ Birmingham10513.3% of 105 movementsno events in 105 movements1.0% of 105 movementsdescriptive comparison
Lba ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lcy ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lhr ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Mme ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sou ↔ Birminghamsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Birminghamsuppressed: 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 13.7% of 650 movements disrupted, departures 12.1% of 645 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 GLA13.7% of 650 movements0.9% of 650 movements0.2% of 650 movements
Departures from GLA12.1% of 645 movements0.8% of 645 movements0.2% of 645 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 8,12231 × £220 = £6,820
ArrivalsLast 72 months · Jul 2020–Jun 202614 flights out of 3,72614 × £220 = £3,080
DeparturesWhole archive · Jan 2018–Jun 202630 flights out of 8,11830 × £220 = £6,600
DeparturesLast 72 months · Jul 2020–Jun 202612 flights out of 3,72212 × £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 airportGLASGOW · GLA
Final point / countryBIRMINGHAM / UNITED KINGDOM
Final point codesBHX / EGBB
Great-circle distance418 km
Maximum statutory amount for the band£220
Average operated arrivals per day1.76
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 archive95

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: 650; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

13.7% of 650 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.9% of 650 movements in the same window.

How many delays crossed three hours?

0.2% of 650 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?

418 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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