UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

EDI ↔ BARCELONA

In the twelve months from July 2025 to June 2026, 32.2% of 852 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, 67.8% of 852 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 426 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, 32.2% of 852 movements were disrupted and 0.2% of 852 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
32.2% of 852 movements0.2% of 852 movements27.7–55.2 min; N of delayed flights=272–512852
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: 0.2% of 852 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 min31.9%30 min19.0%60 min7.4%120 min1.6%180 min0.2%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min31.9% of 852 movements2723.1
>30 min19.0% of 852 movements1625.3
>60 min7.4% of 852 movements6313.5
>120 min1.6% of 852 movements1460.9
>180 min0.2% of 852 movements2426.0
>360 minno events in 852 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 early758.8%15–1 early26330.9%0–15 late24028.2%16–3011012.9%31–609911.6%61…120495.8%121…180121.4%181…36020.2%>36000.0%D=852
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0096; 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: Apr 2026, 14.5% of 83 movements. Worst month: Jul 2022, 67.7% of 62 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: 32.1%; sample: 282018Feb 2018: 34.4%; sample: 32Mar 2018: 29.3%; sample: 41Apr 2018: 35.1%; sample: 57May 2018: 43.1%; sample: 58Jun 2018: 49.1%; sample: 57Jul 2018: 47.5%; sample: 59Aug 2018: 44.8%; sample: 58Sep 2018: 35.1%; sample: 57Oct 2018: 30.4%; sample: 56Nov 2018: 31.2%; sample: 32Dec 2018: 20.0%; sample: 35Jan 2019: 25.0%; sample: 282019Feb 2019: 21.4%; sample: 28Mar 2019: 8.1%; sample: 37Apr 2019: 10.6%; sample: 47May 2019: 26.5%; sample: 49Jun 2019: 38.3%; sample: 47Jul 2019: 36.7%; sample: 49Aug 2019: 29.2%; sample: 48Sep 2019: 40.4%; sample: 47Oct 2019: 27.7%; sample: 47Nov 2019: 20.0%; sample: 35Dec 2019: 27.8%; sample: 36Jan 2020: 6.9%; sample: 292020Feb 2020: 6.9%; sample: 29Mar 2020: 25.0%; sample: 24Apr 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: 0.0%; sample: 23Sep 2020: suppressed: fewer than twenty movements×Oct 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: suppressed: fewer than twenty movements×Jul 2021: 2.9%; sample: 35Aug 2021: 12.2%; sample: 49Sep 2021: 2.6%; sample: 38Oct 2021: 13.0%; sample: 23Nov 2021: 17.9%; sample: 28Dec 2021: 18.5%; sample: 27Jan 2022: 15.4%; sample: 262022Feb 2022: 24.0%; sample: 25Mar 2022: 10.0%; sample: 30Apr 2022: 18.6%; sample: 43May 2022: 44.9%; sample: 49Jun 2022: 55.8%; sample: 52Jul 2022: 67.7%; sample: 62Aug 2022: 50.0%; sample: 62Sep 2022: 63.2%; sample: 57Oct 2022: 44.6%; sample: 56Nov 2022: 17.9%; sample: 39Dec 2022: 28.9%; sample: 38Jan 2023: 25.0%; sample: 402023Feb 2023: 22.2%; sample: 36Mar 2023: 31.8%; sample: 44Apr 2023: 35.1%; sample: 57May 2023: 24.6%; sample: 57Jun 2023: 45.9%; sample: 61Jul 2023: 50.7%; sample: 67Aug 2023: 36.9%; sample: 65Sep 2023: 25.0%; sample: 60Oct 2023: 31.2%; sample: 64Nov 2023: 17.0%; sample: 47Dec 2023: 14.3%; sample: 49Jan 2024: 21.7%; sample: 462024Feb 2024: 20.0%; sample: 45Mar 2024: 18.4%; sample: 49Apr 2024: 36.4%; sample: 44May 2024: 34.0%; sample: 50Jun 2024: 43.9%; sample: 57Jul 2024: 39.3%; sample: 56Aug 2024: 41.0%; sample: 61Sep 2024: 54.4%; sample: 57Oct 2024: 52.5%; sample: 59Nov 2024: 50.0%; sample: 40Dec 2024: 38.6%; sample: 44Jan 2025: 33.3%; sample: 362025Feb 2025: 17.1%; sample: 35Mar 2025: 19.0%; sample: 42Apr 2025: 25.0%; sample: 64May 2025: 36.4%; sample: 77Jun 2025: 28.0%; sample: 82Jul 2025: 45.0%; sample: 80Aug 2025: 35.4%; sample: 79Sep 2025: 44.3%; sample: 79Oct 2025: 30.0%; sample: 80Nov 2025: 22.8%; sample: 57Dec 2025: 24.1%; sample: 54Jan 2026: 24.0%; sample: 502026Feb 2026: 23.1%; sample: 52Mar 2026: 29.5%; sample: 61Apr 2026: 14.5%; sample: 83May 2026: 37.5%; sample: 88Jun 2026: 42.7%; sample: 89Pandemic 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 201832.1% of 28 movements — small sample, not ranked
Feb 201834.4% of 32 movements — small sample, not ranked
Mar 201829.3% of 41 movements — small sample, not ranked
Apr 201835.1% of 57 movements
May 201843.1% of 58 movements
Jun 201849.1% of 57 movements
Jul 201847.5% of 59 movements
Aug 201844.8% of 58 movements
Sep 201835.1% of 57 movements
Oct 201830.4% of 56 movements
Nov 201831.2% of 32 movements — small sample, not ranked
Dec 201820.0% of 35 movements — small sample, not ranked
Jan 201925.0% of 28 movements — small sample, not ranked
Feb 201921.4% of 28 movements — small sample, not ranked
Mar 20198.1% of 37 movements — small sample, not ranked
Apr 201910.6% of 47 movements — small sample, not ranked
May 201926.5% of 49 movements — small sample, not ranked
Jun 201938.3% of 47 movements — small sample, not ranked
Jul 201936.7% of 49 movements — small sample, not ranked
Aug 201929.2% of 48 movements — small sample, not ranked
Sep 201940.4% of 47 movements — small sample, not ranked
Oct 201927.7% of 47 movements — small sample, not ranked
Nov 201920.0% of 35 movements — small sample, not ranked
Dec 201927.8% of 36 movements — small sample, not ranked
Jan 20206.9% of 29 movements — small sample, not ranked
Feb 20206.9% of 29 movements — small sample, not ranked
Mar 202025.0% of 24 movements — small sample, not ranked
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 2020no events in 23 movements — small sample, not ranked
Sep 2020suppressed: fewer than twenty movements
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 2021suppressed: fewer than twenty movements
Jul 20212.9% of 35 movements — small sample, not ranked
Aug 202112.2% of 49 movements — small sample, not ranked
Sep 20212.6% of 38 movements — small sample, not ranked
Oct 202113.0% of 23 movements — small sample, not ranked
Nov 202117.9% of 28 movements — small sample, not ranked
Dec 202118.5% of 27 movements — small sample, not ranked
Jan 202215.4% of 26 movements — small sample, not ranked
Feb 202224.0% of 25 movements — small sample, not ranked
Mar 202210.0% of 30 movements — small sample, not ranked
Apr 202218.6% of 43 movements — small sample, not ranked
May 202244.9% of 49 movements — small sample, not ranked
Jun 202255.8% of 52 movements
Jul 202267.7% of 62 movements
Aug 202250.0% of 62 movements
Sep 202263.2% of 57 movements
Oct 202244.6% of 56 movements
Nov 202217.9% of 39 movements — small sample, not ranked
Dec 202228.9% of 38 movements — small sample, not ranked
Jan 202325.0% of 40 movements — small sample, not ranked
Feb 202322.2% of 36 movements — small sample, not ranked
Mar 202331.8% of 44 movements — small sample, not ranked
Apr 202335.1% of 57 movements
May 202324.6% of 57 movements
Jun 202345.9% of 61 movements
Jul 202350.7% of 67 movements
Aug 202336.9% of 65 movements
Sep 202325.0% of 60 movements
Oct 202331.2% of 64 movements
Nov 202317.0% of 47 movements — small sample, not ranked
Dec 202314.3% of 49 movements — small sample, not ranked
Jan 202421.7% of 46 movements — small sample, not ranked
Feb 202420.0% of 45 movements — small sample, not ranked
Mar 202418.4% of 49 movements — small sample, not ranked
Apr 202436.4% of 44 movements — small sample, not ranked
May 202434.0% of 50 movements
Jun 202443.9% of 57 movements
Jul 202439.3% of 56 movements
Aug 202441.0% of 61 movements
Sep 202454.4% of 57 movements
Oct 202452.5% of 59 movements
Nov 202450.0% of 40 movements — small sample, not ranked
Dec 202438.6% of 44 movements — small sample, not ranked
Jan 202533.3% of 36 movements — small sample, not ranked
Feb 202517.1% of 35 movements — small sample, not ranked
Mar 202519.0% of 42 movements — small sample, not ranked
Apr 202525.0% of 64 movements
May 202536.4% of 77 movements
Jun 202528.0% of 82 movements
Jul 202545.0% of 80 movements
Aug 202535.4% of 79 movements
Sep 202544.3% of 79 movements
Oct 202530.0% of 80 movements
Nov 202522.8% of 57 movements
Dec 202524.1% of 54 movements
Jan 202624.0% of 50 movements
Feb 202623.1% of 52 movements
Mar 202629.5% of 61 movements
Apr 202614.5% of 83 movements
May 202637.5% of 88 movements
Jun 202642.7% of 89 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 2022Arrivals67.7% of 62 movements19.7% across 425 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures59.7% of 62 movements16.2% across 425 flightsstill above it 8 months later
NATS system failure · Aug 2023Arrivals36.9% of 65 movements36.7% across 614 flightsreturned the next month
NATS system failure · Aug 2023Departures33.8% of 65 movements37.1% across 612 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals19.0% of 42 movements — small sample, not ranked38.2% across 588 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures11.9% of 42 movements — small sample, not ranked35.6% across 585 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, 46.2% of arrivals were disrupted, measured across 6 Julys in the archive. March has been the calmest, at 19.0% across 7 Marchs.

Even July has ranged from 36.7% to 67.7% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201925.0% of 28 movements †21.4% of 28 movements †8.1% of 37 movements †10.6% of 47 movements †26.5% of 49 movements †38.3% of 47 movements †36.7% of 49 movements †29.2% of 48 movements †40.4% of 47 movements †27.7% of 47 movements †20.0% of 35 movements †27.8% of 36 movements †20206.9% of 29 movements †6.9% of 29 movements †25.0% of 24 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno events in 23 movements †suppressed: fewer than twenty movementssuppressed: 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 movementssuppressed: fewer than twenty movements2.9% of 35 movements †12.2% of 49 movements †2.6% of 38 movements †13.0% of 23 movements †17.9% of 28 movements †18.5% of 27 movements †202215.4% of 26 movements †24.0% of 25 movements †10.0% of 30 movements †18.6% of 43 movements †44.9% of 49 movements †55.8% of 52 movements67.7% of 62 movements50.0% of 62 movements63.2% of 57 movements44.6% of 56 movements17.9% of 39 movements †28.9% of 38 movements †202325.0% of 40 movements †22.2% of 36 movements †31.8% of 44 movements †35.1% of 57 movements24.6% of 57 movements45.9% of 61 movements50.7% of 67 movements36.9% of 65 movements25.0% of 60 movements31.2% of 64 movements17.0% of 47 movements †14.3% of 49 movements †202421.7% of 46 movements †20.0% of 45 movements †18.4% of 49 movements †36.4% of 44 movements †34.0% of 50 movements43.9% of 57 movements39.3% of 56 movements41.0% of 61 movements54.4% of 57 movements52.5% of 59 movements50.0% of 40 movements †38.6% of 44 movements †202533.3% of 36 movements †17.1% of 35 movements †19.0% of 42 movements †25.0% of 64 movements36.4% of 77 movements28.0% of 82 movements45.0% of 80 movements35.4% of 79 movements44.3% of 79 movements30.0% of 80 movements22.8% of 57 movements24.1% of 54 movements202624.0% of 50 movements23.1% of 52 movements29.5% of 61 movements14.5% of 83 movements37.5% of 88 movements42.7% of 89 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan25.0%15.4–33.3%7 months, 254 flights
Feb22.2%17.1–34.4%7 months, 253 flights
Mar19.0%8.1–31.8%7 months, 304 flights
Apr25.0%10.6–36.4%7 months, 395 flights
May36.4%24.6–44.9%7 months, 428 flights
Jun43.9%28.0–55.8%7 months, 445 flights
Jul46.2%36.7–67.7%6 months, 373 flights
Aug39.0%29.2–50.0%6 months, 373 flights
Sep42.4%25.0–63.2%6 months, 357 flights
Oct30.8%27.7–52.5%6 months, 362 flights
Nov21.4%17.0–50.0%6 months, 250 flights
Dec25.9%14.3–38.6%6 months, 256 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: Vueling Airlines 14.1% of 191 movements, Easyjet Europe 18.2% of 77 movements, Easyjet Uk 25.0% of 28 movements — small sample, not ranked. Observed shares differ; the mix of operations is not matched, so no causal conclusion follows.

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 Europe18.2% of 77 flightsEasyjet Uk †25.0% of 28 flightsRyanair40.5% of 538 flightsVueling Airlines14.1% of 191 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Air Onesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ba Cityflyersuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Europe7718.2% of 77 movementsno events in 77 movementsno events in 77 movementsdescriptive comparison
Easyjet Uk2825.0% of 28 movements — small sample, not ranked3.6% of 28 movements — small sample, not rankedno events in 28 movements — small sample, not rankedsmall sample; not ranked
Evelopsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Fly Play Hfsuppressed: 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
Norwegian Air Internationalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ryanair53840.5% of 538 movements0.2% of 538 movements0.4% of 538 movementsdescriptive comparison
Ryanair Uksuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Vueling Airlines19114.1% of 191 movementsno events in 191 movementsno events in 191 movementsdescriptive comparison

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, NCL had the lowest disruption share at 14.9% of 194 movements and LCY the highest at 49.6% of 131 movements. This route sits at 32.2% of 852 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 ↔ Barcelona18.1% of 105 flightsBhx ↔ Barcelona26.7% of 920 flightsBrs ↔ Barcelona32.6% of 895 flightsEma ↔ Barcelona33.6% of 232 flightsGla ↔ Barcelona30.9% of 181 flightsLba ↔ Barcelona23.8% of 143 flightsLcy ↔ Barcelona49.6% of 131 flightsLgw ↔ Barcelona23.0% of 3,997 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Barcelonasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bfs ↔ Barcelona10518.1% of 105 movementsno events in 105 movements1.0% of 105 movementsdescriptive comparison
Bhd ↔ Barcelonasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Barcelona92026.7% of 920 movements0.2% of 920 movements0.7% of 920 movementsdescriptive comparison
Boh ↔ Barcelonasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Barcelona89532.6% of 895 movements0.9% of 895 movements0.9% of 895 movementsdescriptive comparison
Cwl ↔ Barcelonasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Barcelonasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Durham-Tees-Valley ↔ Barcelonasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ema ↔ Barcelona23233.6% of 232 movements0.4% of 232 movements0.4% of 232 movementsdescriptive comparison
Gla ↔ Barcelona18130.9% of 181 movementsno events in 181 movementsno events in 181 movementsdescriptive comparison
Jer ↔ Barcelonasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Barcelona14323.8% of 143 movementsno events in 143 movements0.7% of 143 movementsdescriptive comparison
Lcy ↔ Barcelona13149.6% of 131 movements1.5% of 131 movements1.5% of 131 movementsdescriptive comparison
Lgw ↔ Barcelona3,99723.0% of 3,997 movements0.8% of 3,997 movements0.5% of 3,997 movementsdescriptive comparison
Lhr ↔ Barcelona3,51122.4% of 3,511 movements1.0% of 3,511 movements0.3% of 3,511 movementsdescriptive comparison
Lpl ↔ Barcelona35022.9% of 350 movements0.3% of 350 movements0.3% of 350 movementsdescriptive comparison
Ltn ↔ Barcelona1,15032.9% of 1,150 movements0.3% of 1,150 movements0.3% of 1,150 movementsdescriptive comparison
Man ↔ Barcelona1,82735.6% of 1,827 movements0.4% of 1,827 movements0.6% of 1,827 movementsdescriptive comparison
Ncl ↔ Barcelona19414.9% of 194 movements1.0% of 194 movements1.0% of 194 movementsdescriptive comparison
Sen ↔ Barcelona9627.1% of 96 movementsno events in 96 movementsno events in 96 movementsdescriptive comparison
Sou ↔ Barcelona6524.6% of 65 movements3.1% of 65 movements1.5% of 65 movementsdescriptive comparison
Stn ↔ Barcelona1,49033.1% of 1,490 movements0.2% of 1,490 movements0.7% of 1,490 movementsdescriptive comparison

Does the direction you are flying change anything?

Barely: arrivals into EDI ran 32.2% of 852 movements disrupted, departures 32.4% of 851 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 EDI32.2% of 852 movements0.2% of 852 movements0.2% of 852 movements
Departures from EDI32.4% of 851 movements0.1% of 851 movements0.2% of 851 movements
Definitions, denominators and limits

CAA conditions on delays and cancellations.

How many flights here crossed the three-hour mark?

The table below counts arrivals and departures that ran more than three hours late — the threshold that is one of the conditions for compensation — across the whole archive and within the last six years.

The pound figure beside each count is arithmetic, not money anyone received: it is the count multiplied by the maximum statutory amount for this distance band. Whether any of those flights actually qualified is not knowable from this data.

DirectionWindowFlights over three hoursArithmetic statutory ceiling
ArrivalsWhole archive · Jan 2018–Jun 202622 flights out of 4,40422 × £350 = £7,700
ArrivalsLast 72 months · Jul 2020–Jun 202615 flights out of 3,25115 × £350 = £5,250
DeparturesWhole archive · Jan 2018–Jun 202629 flights out of 4,39829 × £350 = £10,150
DeparturesLast 72 months · Jul 2020–Jun 202621 flights out of 3,24621 × £350 = £7,350
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 / countryBARCELONA / SPAIN
Final point codesBCN / LEBL
Great-circle distance1,677 km
Maximum statutory amount for the band£350
Average operated arrivals per day2.33
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 archive94

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: 852; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

32.2% of 852 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.2% of 852 movements in the same window.

How many delays crossed three hours?

0.2% of 852 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?

1,677 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

Was your flight delayed 3h+? Check what you may be owed

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