UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

EDI ↔ BRISTOL

In the twelve months from July 2025 to June 2026, 21.6% of 1,423 movements arriving into EDI were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 78.4% of 1,423 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 237 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, 21.6% of 1,423 movements were disrupted and 0.7% of 1,423 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
21.6% of 1,423 movements0.7% of 1,423 movements27.6–58.5 min; N of delayed flights=298–5801,423
Definitions, denominators and limits

The bounds account for CAA rounding and the unknown number of zero delays. A point average across all operated movements, including punctual ones, would answer a different question and is not used here.

When it is late, how late is it?

Most delays here are short. The ladder below shows how many arrivals crossed each threshold, from a quarter of an hour up to six hours; each rung can only be smaller than the one above it.

Cancellations are counted separately: 0.7% of 1,423 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 min20.9%30 min12.4%60 min5.6%120 min1.2%180 min0.4%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min20.9% of 1,423 movements2984.8
>30 min12.4% of 1,423 movements1778.0
>60 min5.6% of 1,423 movements8017.8
>120 min1.2% of 1,423 movements1783.7
>180 min0.4% of 1,423 movements6237.2
>360 minno events in 1,423 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 early28820.2%15–1 early54538.3%0–15 late28219.8%16–301218.5%31–60976.8%61…120634.4%121…180110.8%181…36060.4%>36000.0%D=1,423
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0275; corpus median 0.0217; 2056 routes in the corpus. The shape is compared conditionally among delays; the class name does not measure absolute frequency. Histogram counts and shares cover all recorded operations including unmatched records; reconstructed uniquely.

Has this route got better or worse since 2018?

Best month: Aug 2020, no events in 54 movements. Worst month: Jun 2022, 61.7% of 107 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: 12.8%; sample: 1092018Feb 2018: 13.1%; sample: 107Mar 2018: 33.6%; sample: 116Apr 2018: 22.0%; sample: 109May 2018: 26.4%; sample: 110Jun 2018: 34.9%; sample: 106Jul 2018: 33.6%; sample: 107Aug 2018: 32.1%; sample: 109Sep 2018: 34.3%; sample: 105Oct 2018: 34.5%; sample: 113Nov 2018: 19.5%; sample: 118Dec 2018: 30.4%; sample: 112Jan 2019: 17.6%; sample: 1082019Feb 2019: 17.0%; sample: 106Mar 2019: 23.7%; sample: 118Apr 2019: 21.3%; sample: 108May 2019: 22.3%; sample: 112Jun 2019: 33.3%; sample: 108Jul 2019: 27.9%; sample: 111Aug 2019: 30.3%; sample: 109Sep 2019: 32.7%; sample: 113Oct 2019: 19.8%; sample: 116Nov 2019: 9.6%; sample: 114Dec 2019: 20.5%; sample: 117Jan 2020: 10.8%; sample: 1112020Feb 2020: 25.0%; sample: 108Mar 2020: 3.6%; sample: 83Apr 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: 29Aug 2020: 0.0%; sample: 54Sep 2020: 0.0%; sample: 53Oct 2020: 2.1%; sample: 48Nov 2020: 4.8%; sample: 21Dec 2020: 7.7%; sample: 39Jan 2021: 30.0%; sample: 202021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: suppressed: fewer than twenty movements×May 2021: 2.9%; sample: 34Jun 2021: 3.6%; sample: 56Jul 2021: 6.1%; sample: 82Aug 2021: 4.8%; sample: 84Sep 2021: 7.3%; sample: 82Oct 2021: 11.9%; sample: 84Nov 2021: 2.3%; sample: 86Dec 2021: 4.6%; sample: 87Jan 2022: 5.4%; sample: 742022Feb 2022: 14.8%; sample: 81Mar 2022: 9.4%; sample: 96Apr 2022: 20.2%; sample: 89May 2022: 50.9%; sample: 106Jun 2022: 61.7%; sample: 107Jul 2022: 44.6%; sample: 92Aug 2022: 27.3%; sample: 88Sep 2022: 49.4%; sample: 81Oct 2022: 28.0%; sample: 82Nov 2022: 8.8%; sample: 80Dec 2022: 31.2%; sample: 93Jan 2023: 11.0%; sample: 732023Feb 2023: 13.0%; sample: 115Mar 2023: 29.2%; sample: 130Apr 2023: 33.6%; sample: 128May 2023: 40.2%; sample: 132Jun 2023: 48.0%; sample: 127Jul 2023: 57.4%; sample: 122Aug 2023: 53.2%; sample: 126Sep 2023: 42.6%; sample: 122Oct 2023: 38.2%; sample: 131Nov 2023: 16.7%; sample: 132Dec 2023: 29.9%; sample: 147Jan 2024: 15.0%; sample: 1532024Feb 2024: 11.2%; sample: 134Mar 2024: 18.6%; sample: 140Apr 2024: 25.9%; sample: 116May 2024: 31.7%; sample: 120Jun 2024: 42.2%; sample: 116Jul 2024: 40.9%; sample: 115Aug 2024: 31.0%; sample: 116Sep 2024: 38.8%; sample: 121Oct 2024: 22.6%; sample: 124Nov 2024: 12.7%; sample: 126Dec 2024: 36.4%; sample: 132Jan 2025: 20.9%; sample: 1152025Feb 2025: 12.0%; sample: 125Mar 2025: 12.7%; sample: 134Apr 2025: 9.0%; sample: 122May 2025: 22.0%; sample: 127Jun 2025: 25.9%; sample: 112Jul 2025: 34.6%; sample: 107Aug 2025: 17.8%; sample: 107Sep 2025: 36.2%; sample: 116Oct 2025: 16.9%; sample: 130Nov 2025: 15.0%; sample: 127Dec 2025: 24.2%; sample: 128Jan 2026: 14.3%; sample: 1122026Feb 2026: 17.3%; sample: 127Mar 2026: 15.4%; sample: 136Apr 2026: 14.3%; sample: 112May 2026: 21.9%; sample: 114Jun 2026: 35.5%; sample: 107Pandemic 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 201812.8% of 109 movements
Feb 201813.1% of 107 movements
Mar 201833.6% of 116 movements
Apr 201822.0% of 109 movements
May 201826.4% of 110 movements
Jun 201834.9% of 106 movements
Jul 201833.6% of 107 movements
Aug 201832.1% of 109 movements
Sep 201834.3% of 105 movements
Oct 201834.5% of 113 movements
Nov 201819.5% of 118 movements
Dec 201830.4% of 112 movements
Jan 201917.6% of 108 movements
Feb 201917.0% of 106 movements
Mar 201923.7% of 118 movements
Apr 201921.3% of 108 movements
May 201922.3% of 112 movements
Jun 201933.3% of 108 movements
Jul 201927.9% of 111 movements
Aug 201930.3% of 109 movements
Sep 201932.7% of 113 movements
Oct 201919.8% of 116 movements
Nov 20199.6% of 114 movements
Dec 201920.5% of 117 movements
Jan 202010.8% of 111 movements
Feb 202025.0% of 108 movements
Mar 20203.6% of 83 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 2020no events in 29 movements — small sample, not ranked
Aug 2020no events in 54 movements
Sep 2020no events in 53 movements
Oct 20202.1% of 48 movements — small sample, not ranked
Nov 20204.8% of 21 movements — small sample, not ranked
Dec 20207.7% of 39 movements — small sample, not ranked
Jan 202130.0% of 20 movements — small sample, not ranked
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 2021suppressed: fewer than twenty movements
May 20212.9% of 34 movements — small sample, not ranked
Jun 20213.6% of 56 movements
Jul 20216.1% of 82 movements
Aug 20214.8% of 84 movements
Sep 20217.3% of 82 movements
Oct 202111.9% of 84 movements
Nov 20212.3% of 86 movements
Dec 20214.6% of 87 movements
Jan 20225.4% of 74 movements
Feb 202214.8% of 81 movements
Mar 20229.4% of 96 movements
Apr 202220.2% of 89 movements
May 202250.9% of 106 movements
Jun 202261.7% of 107 movements
Jul 202244.6% of 92 movements
Aug 202227.3% of 88 movements
Sep 202249.4% of 81 movements
Oct 202228.0% of 82 movements
Nov 20228.8% of 80 movements
Dec 202231.2% of 93 movements
Jan 202311.0% of 73 movements
Feb 202313.0% of 115 movements
Mar 202329.2% of 130 movements
Apr 202333.6% of 128 movements
May 202340.2% of 132 movements
Jun 202348.0% of 127 movements
Jul 202357.4% of 122 movements
Aug 202353.2% of 126 movements
Sep 202342.6% of 122 movements
Oct 202338.2% of 131 movements
Nov 202316.7% of 132 movements
Dec 202329.9% of 147 movements
Jan 202415.0% of 153 movements
Feb 202411.2% of 134 movements
Mar 202418.6% of 140 movements
Apr 202425.9% of 116 movements
May 202431.7% of 120 movements
Jun 202442.2% of 116 movements
Jul 202440.9% of 115 movements
Aug 202431.0% of 116 movements
Sep 202438.8% of 121 movements
Oct 202422.6% of 124 movements
Nov 202412.7% of 126 movements
Dec 202436.4% of 132 movements
Jan 202520.9% of 115 movements
Feb 202512.0% of 125 movements
Mar 202512.7% of 134 movements
Apr 20259.0% of 122 movements
May 202522.0% of 127 movements
Jun 202525.9% of 112 movements
Jul 202534.6% of 107 movements
Aug 202517.8% of 107 movements
Sep 202536.2% of 116 movements
Oct 202516.9% of 130 movements
Nov 202515.0% of 127 movements
Dec 202524.2% of 128 movements
Jan 202614.3% of 112 movements
Feb 202617.3% of 127 movements
Mar 202615.4% of 136 movements
Apr 202614.3% of 112 movements
May 202621.9% of 114 movements
Jun 202635.5% of 107 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 2022Arrivals44.6% of 92 movements16.6% across 1,058 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures53.3% of 92 movements20.0% across 1,058 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals53.2% of 126 movements31.4% across 1,251 flightsreturned after 3 months
NATS system failure · Aug 2023Departures58.4% of 125 movements37.0% across 1,248 flightsreturned after 3 months
Heathrow fire closure · Mar 2025Arrivals12.7% of 134 movements27.8% across 1,466 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures18.7% of 134 movements37.0% across 1,466 flightsreturned the next month
Definitions, denominators and limits

The baseline is the unweighted mean share over the twelve preceding calendar months. The return window is the following eight months, up to the end of the archive. Return means the first observed value at or below the baseline; it is not the duration of the disruption itself. If the event month is already below the baseline, counting still starts the month after. Gaps and suppressed cells are not treated as zeros or as recovery.

Which time of year has historically been hardest?

July has historically been the hardest month on this route: in a typical July, 37.7% of arrivals were disrupted, measured across 6 Julys in the archive. February has been the calmest, at 13.1% across 7 Februarys.

Even July has ranged from 27.9% to 57.4% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201917.6% of 108 movements17.0% of 106 movements23.7% of 118 movements21.3% of 108 movements22.3% of 112 movements33.3% of 108 movements27.9% of 111 movements30.3% of 109 movements32.7% of 113 movements19.8% of 116 movements9.6% of 114 movements20.5% of 117 movements202010.8% of 111 movements25.0% of 108 movements3.6% of 83 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno events in 29 movements †no events in 54 movementsno events in 53 movements2.1% of 48 movements †4.8% of 21 movements †7.7% of 39 movements †202130.0% of 20 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements2.9% of 34 movements †3.6% of 56 movements6.1% of 82 movements4.8% of 84 movements7.3% of 82 movements11.9% of 84 movements2.3% of 86 movements4.6% of 87 movements20225.4% of 74 movements14.8% of 81 movements9.4% of 96 movements20.2% of 89 movements50.9% of 106 movements61.7% of 107 movements44.6% of 92 movements27.3% of 88 movements49.4% of 81 movements28.0% of 82 movements8.8% of 80 movements31.2% of 93 movements202311.0% of 73 movements13.0% of 115 movements29.2% of 130 movements33.6% of 128 movements40.2% of 132 movements48.0% of 127 movements57.4% of 122 movements53.2% of 126 movements42.6% of 122 movements38.2% of 131 movements16.7% of 132 movements29.9% of 147 movements202415.0% of 153 movements11.2% of 134 movements18.6% of 140 movements25.9% of 116 movements31.7% of 120 movements42.2% of 116 movements40.9% of 115 movements31.0% of 116 movements38.8% of 121 movements22.6% of 124 movements12.7% of 126 movements36.4% of 132 movements202520.9% of 115 movements12.0% of 125 movements12.7% of 134 movements9.0% of 122 movements22.0% of 127 movements25.9% of 112 movements34.6% of 107 movements17.8% of 107 movements36.2% of 116 movements16.9% of 130 movements15.0% of 127 movements24.2% of 128 movements202614.3% of 112 movements17.3% of 127 movements15.4% of 136 movements14.3% of 112 movements21.9% of 114 movements35.5% of 107 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan14.3%5.4–20.9%7 months, 744 flights
Feb13.1%11.2–17.3%7 months, 795 flights
Mar18.6%9.4–33.6%7 months, 870 flights
Apr21.3%9.0–33.6%7 months, 784 flights
May26.4%21.9–50.9%7 months, 821 flights
Jun35.5%25.9–61.7%7 months, 783 flights
Jul37.7%27.9–57.4%6 months, 654 flights
Aug30.7%17.8–53.2%6 months, 655 flights
Sep37.5%32.7–49.4%6 months, 658 flights
Oct25.3%16.9–38.2%6 months, 696 flights
Nov13.8%8.8–19.5%6 months, 697 flights
Dec30.1%20.5–36.4%6 months, 729 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, 21.6% of 1,423 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 Uk21.6% of 1,423 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Austrian Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bmi Regionalsuppressed: 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 Airlinesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Uk1,42321.6% of 1,423 movements0.7% of 1,423 movements0.4% of 1,423 movementsdescriptive comparison
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, ABZ had the lowest disruption share at 17.4% of 247 movements and JER the highest at 28.5% of 361 movements. This route sits at 21.6% of 1,423 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 ↔ Bristol17.4% of 247 flightsBfs ↔ Bristol20.0% of 881 flightsBhd ↔ Bristol17.7% of 186 flightsGla ↔ Bristol21.5% of 1,027 flightsIom ↔ Bristol22.0% of 59 flightsJer ↔ Bristol28.5% of 361 flightsNcl ↔ Bristol23.6% of 606 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Bristol24717.4% of 247 movements4.0% of 247 movementsno events in 247 movementsdescriptive comparison
Bfs ↔ Bristol88120.0% of 881 movements0.7% of 881 movements0.1% of 881 movementsdescriptive comparison
Bhd ↔ Bristol18617.7% of 186 movementsno events in 186 movementsno events in 186 movementsdescriptive comparison
Bhx ↔ Bristolsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Boh ↔ Bristolsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Cwl ↔ Bristolsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Durham-Tees-Valley ↔ Bristolsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ema ↔ Bristolsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Bristolsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Bristol1,02721.5% of 1,027 movements1.0% of 1,027 movementsno events in 1,027 movementsdescriptive comparison
Iom ↔ Bristol5922.0% of 59 movements3.4% of 59 movementsno events in 59 movementsdescriptive comparison
Jer ↔ Bristol36128.5% of 361 movements1.9% of 361 movements1.1% of 361 movementsdescriptive comparison
Lba ↔ Bristolsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Bristolsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lhr ↔ Bristolsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ Bristolsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Bristolsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Bristolsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Mme ↔ Bristolsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ Bristol60623.6% of 606 movements1.2% of 606 movementsno events in 606 movementsdescriptive comparison
Sou ↔ Bristolsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Bristolsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

Does the direction you are flying change anything?

Yes: arrivals into EDI ran 21.6% of 1,423 movements disrupted, departures 26.9% of 1,423 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 EDI21.6% of 1,423 movements0.7% of 1,423 movements0.4% of 1,423 movements
Departures from EDI26.9% of 1,423 movements0.9% of 1,423 movements0.5% of 1,423 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 202644 flights out of 10,09244 × £220 = £9,680
ArrivalsLast 72 months · Jul 2020–Jun 202628 flights out of 7,12928 × £220 = £6,160
DeparturesWhole archive · Jan 2018–Jun 202647 flights out of 10,08847 × £220 = £10,340
DeparturesLast 72 months · Jul 2020–Jun 202630 flights out of 7,12730 × £220 = £6,600
Definitions, denominators and limits

Full formula: the count is the sum of the two tail buckets across months, carriers and service types in one direction; the ceiling is that count multiplied by the maximum statutory amount for the distance band. The condition is: if every such delay had been the carrier's fault and a claim had been filed on every one of them.

This is conditional arithmetic over operations: passenger numbers, legal applicability and the number of claims are all unknown. For departures it is an arithmetic scenario only, because arrival at the final point is not observed. For long routes the maximum ceiling is used; any reduction in the payable amount is not calculated.

The archive window is counted from the last month of data, not from today: this is not a limitation check for an individual case. The CAA states six years for England and Wales and five for Scotland. CAA: time limits and how to complain. Information, not a legal service.

The facts about this route

Route reference table: codes, distance, frequency, archive span
FieldValue
UK airportEDINBURGH · EDI
Final point / countryBRISTOL / UNITED KINGDOM
Final point codesBRS / EGGD
Great-circle distance510 km
Maximum statutory amount for the band£220
Average operated arrivals per day3.87
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: 1,423; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

21.6% of 1,423 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.7% of 1,423 movements in the same window.

How many delays crossed three hours?

0.4% of 1,423 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?

510 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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