UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

EDI ↔ HEATHROW

In the twelve months from July 2025 to June 2026, 23.0% of 3,751 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, 77.0% of 3,751 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 938 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, 23.0% of 3,751 movements were disrupted and 1.2% of 3,751 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
23.0% of 3,751 movements1.2% of 3,751 movements19.5–50.1 min; N of delayed flights=819–1,9103,751
Definitions, denominators and limits

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

When it is late, how late is it?

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

Cancellations are counted separately: 1.2% of 3,751 movements. “One in N” means how many arrivals you would typically see between events at that level.

Delay threshold ladder; count and share of known operations15 min21.8%30 min10.6%60 min3.4%120 min0.4%180 min0.1%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min21.8% of 3,751 movements8194.6
>30 min10.6% of 3,751 movements3999.4
>60 min3.4% of 3,751 movements12829.3
>120 min0.4% of 3,751 movements16234.4
>180 min0.1% of 3,751 movements4937.8
>360 minno events in 3,751 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 early3519.4%15–1 early1,44538.5%0–15 late1,09129.1%16–3042011.2%31–602717.2%61…1201123.0%121…180120.3%181…36040.1%>36000.0%D=3,751
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0058; 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: Sep 2020, 1.3% of 79 movements. Worst month: Sep 2022, 61.1% of 185 movements.

The line traces every month in the archive; lower is better. Gaps are months with no published data, never zeros. The 2020 and 2021 readings reflect the pandemic, not normal service.

Monthly disruption share; gaps mean no published dataJan 2018: 11.4%; sample: 4052018Feb 2018: 16.6%; sample: 361Mar 2018: 19.1%; sample: 403Apr 2018: 14.5%; sample: 415May 2018: 17.4%; sample: 437Jun 2018: 17.5%; sample: 422Jul 2018: 27.2%; sample: 426Aug 2018: 18.9%; sample: 445Sep 2018: 21.2%; sample: 416Oct 2018: 26.5%; sample: 441Nov 2018: 18.7%; sample: 390Dec 2018: 24.4%; sample: 356Jan 2019: 10.4%; sample: 3382019Feb 2019: 12.9%; sample: 318Mar 2019: 20.5%; sample: 381Apr 2019: 10.5%; sample: 493May 2019: 13.6%; sample: 506Jun 2019: 25.0%; sample: 476Jul 2019: 25.3%; sample: 506Aug 2019: 22.7%; sample: 503Sep 2019: 26.5%; sample: 480Oct 2019: 20.8%; sample: 501Nov 2019: 11.3%; sample: 469Dec 2019: 17.9%; sample: 425Jan 2020: 7.3%; sample: 4392020Feb 2020: 26.2%; sample: 408Mar 2020: 19.1%; sample: 256Apr 2020: 8.0%; sample: 25May 2020: 0.0%; sample: 27Jun 2020: 0.0%; sample: 26Jul 2020: 1.4%; sample: 74Aug 2020: 8.0%; sample: 75Sep 2020: 1.3%; sample: 79Oct 2020: 6.1%; sample: 147Nov 2020: 11.8%; sample: 76Dec 2020: 9.1%; sample: 88Jan 2021: 13.4%; sample: 672021Feb 2021: 18.4%; sample: 49Mar 2021: 11.1%; sample: 54Apr 2021: 5.0%; sample: 60May 2021: 5.4%; sample: 92Jun 2021: 2.1%; sample: 146Jul 2021: 7.4%; sample: 175Aug 2021: 9.0%; sample: 156Sep 2021: 22.0%; sample: 159Oct 2021: 18.8%; sample: 191Nov 2021: 22.7%; sample: 225Dec 2021: 21.4%; sample: 215Jan 2022: 16.0%; sample: 2062022Feb 2022: 39.6%; sample: 202Mar 2022: 22.3%; sample: 224Apr 2022: 45.1%; sample: 237May 2022: 38.1%; sample: 252Jun 2022: 49.2%; sample: 238Jul 2022: 59.8%; sample: 209Aug 2022: 37.5%; sample: 200Sep 2022: 61.1%; sample: 185Oct 2022: 43.9%; sample: 214Nov 2022: 42.8%; sample: 229Dec 2022: 51.6%; sample: 252Jan 2023: 35.5%; sample: 3012023Feb 2023: 30.3%; sample: 300Mar 2023: 53.9%; sample: 334Apr 2023: 37.2%; sample: 298May 2023: 51.9%; sample: 337Jun 2023: 52.5%; sample: 318Jul 2023: 56.0%; sample: 318Aug 2023: 46.4%; sample: 338Sep 2023: 56.0%; sample: 323Oct 2023: 42.6%; sample: 336Nov 2023: 30.9%; sample: 330Dec 2023: 44.5%; sample: 319Jan 2024: 18.8%; sample: 3302024Feb 2024: 23.4%; sample: 320Mar 2024: 23.1%; sample: 342Apr 2024: 28.1%; sample: 345May 2024: 31.0%; sample: 361Jun 2024: 39.4%; sample: 348Jul 2024: 43.9%; sample: 367Aug 2024: 36.2%; sample: 370Sep 2024: 46.5%; sample: 357Oct 2024: 28.9%; sample: 374Nov 2024: 18.1%; sample: 392Dec 2024: 27.9%; sample: 366Jan 2025: 19.2%; sample: 3542025Feb 2025: 6.1%; sample: 312Mar 2025: 15.3%; sample: 347Apr 2025: 8.6%; sample: 338May 2025: 20.5%; sample: 317Jun 2025: 19.5%; sample: 323Jul 2025: 36.4%; sample: 316Aug 2025: 20.3%; sample: 315Sep 2025: 37.9%; sample: 322Oct 2025: 25.7%; sample: 346Nov 2025: 19.2%; sample: 317Dec 2025: 21.3%; sample: 314Jan 2026: 18.3%; sample: 3012026Feb 2026: 11.0%; sample: 273Mar 2026: 15.7%; sample: 312Apr 2026: 7.9%; sample: 315May 2026: 23.9%; sample: 306Jun 2026: 36.3%; sample: 314Pandemic regime Jun 2020Summer 2022 breakdown Jul 2022NATS system failure Aug 2023Heathrow fire closure Mar 2025100%0%
Every month since 2018, including gaps and suppressed cells
MonthDisruption on arrivals
Jan 201811.4% of 405 movements
Feb 201816.6% of 361 movements
Mar 201819.1% of 403 movements
Apr 201814.5% of 415 movements
May 201817.4% of 437 movements
Jun 201817.5% of 422 movements
Jul 201827.2% of 426 movements
Aug 201818.9% of 445 movements
Sep 201821.2% of 416 movements
Oct 201826.5% of 441 movements
Nov 201818.7% of 390 movements
Dec 201824.4% of 356 movements
Jan 201910.4% of 338 movements
Feb 201912.9% of 318 movements
Mar 201920.5% of 381 movements
Apr 201910.5% of 493 movements
May 201913.6% of 506 movements
Jun 201925.0% of 476 movements
Jul 201925.3% of 506 movements
Aug 201922.7% of 503 movements
Sep 201926.5% of 480 movements
Oct 201920.8% of 501 movements
Nov 201911.3% of 469 movements
Dec 201917.9% of 425 movements
Jan 20207.3% of 439 movements
Feb 202026.2% of 408 movements
Mar 202019.1% of 256 movements
Apr 20208.0% of 25 movements — small sample, not ranked
May 2020no events in 27 movements — small sample, not ranked
Jun 2020no events in 26 movements — small sample, not ranked
Jul 20201.4% of 74 movements
Aug 20208.0% of 75 movements
Sep 20201.3% of 79 movements
Oct 20206.1% of 147 movements
Nov 202011.8% of 76 movements
Dec 20209.1% of 88 movements
Jan 202113.4% of 67 movements
Feb 202118.4% of 49 movements — small sample, not ranked
Mar 202111.1% of 54 movements
Apr 20215.0% of 60 movements
May 20215.4% of 92 movements
Jun 20212.1% of 146 movements
Jul 20217.4% of 175 movements
Aug 20219.0% of 156 movements
Sep 202122.0% of 159 movements
Oct 202118.8% of 191 movements
Nov 202122.7% of 225 movements
Dec 202121.4% of 215 movements
Jan 202216.0% of 206 movements
Feb 202239.6% of 202 movements
Mar 202222.3% of 224 movements
Apr 202245.1% of 237 movements
May 202238.1% of 252 movements
Jun 202249.2% of 238 movements
Jul 202259.8% of 209 movements
Aug 202237.5% of 200 movements
Sep 202261.1% of 185 movements
Oct 202243.9% of 214 movements
Nov 202242.8% of 229 movements
Dec 202251.6% of 252 movements
Jan 202335.5% of 301 movements
Feb 202330.3% of 300 movements
Mar 202353.9% of 334 movements
Apr 202337.2% of 298 movements
May 202351.9% of 337 movements
Jun 202352.5% of 318 movements
Jul 202356.0% of 318 movements
Aug 202346.4% of 338 movements
Sep 202356.0% of 323 movements
Oct 202342.6% of 336 movements
Nov 202330.9% of 330 movements
Dec 202344.5% of 319 movements
Jan 202418.8% of 330 movements
Feb 202423.4% of 320 movements
Mar 202423.1% of 342 movements
Apr 202428.1% of 345 movements
May 202431.0% of 361 movements
Jun 202439.4% of 348 movements
Jul 202443.9% of 367 movements
Aug 202436.2% of 370 movements
Sep 202446.5% of 357 movements
Oct 202428.9% of 374 movements
Nov 202418.1% of 392 movements
Dec 202427.9% of 366 movements
Jan 202519.2% of 354 movements
Feb 20256.1% of 312 movements
Mar 202515.3% of 347 movements
Apr 20258.6% of 338 movements
May 202520.5% of 317 movements
Jun 202519.5% of 323 movements
Jul 202536.4% of 316 movements
Aug 202520.3% of 315 movements
Sep 202537.9% of 322 movements
Oct 202525.7% of 346 movements
Nov 202519.2% of 317 movements
Dec 202521.3% of 314 movements
Jan 202618.3% of 301 movements
Feb 202611.0% of 273 movements
Mar 202615.7% of 312 movements
Apr 20267.9% of 315 movements
May 202623.9% of 306 movements
Jun 202636.3% of 314 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 2020Arrivalsno events in 26 movements — small sample, not ranked17.5% across 4,515 flightsreturned the next month
Pandemic regime · Jun 2020Departures7.7% of 26 movements — small sample, not ranked17.9% across 4,515 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Arrivals59.8% of 209 movements26.0% across 2,480 flightsstill above it 8 months later
Summer 2022 breakdown · Jul 2022Departures71.4% of 210 movements30.0% across 2,478 flightsreturned after 7 months
NATS system failure · Aug 2023Arrivals46.4% of 338 movements46.2% across 3,286 flightsreturned after 2 months
NATS system failure · Aug 2023Departures41.5% of 337 movements45.6% across 3,288 flightsreturned after 3 months
Heathrow fire closure · Mar 2025Arrivals15.3% of 347 movements29.0% across 4,288 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures15.0% of 347 movements34.9% across 4,286 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?

September has historically been the hardest month on this route: in a typical September, 42.2% of arrivals were disrupted, measured across 6 Septembers in the archive. April has been the calmest, at 14.5% across 7 Aprils.

Even September has ranged from 21.2% to 61.1% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201910.4% of 338 movements12.9% of 318 movements20.5% of 381 movements10.5% of 493 movements13.6% of 506 movements25.0% of 476 movements25.3% of 506 movements22.7% of 503 movements26.5% of 480 movements20.8% of 501 movements11.3% of 469 movements17.9% of 425 movements20207.3% of 439 movements26.2% of 408 movements19.1% of 256 movements8.0% of 25 movements †no events in 27 movements †no events in 26 movements †1.4% of 74 movements8.0% of 75 movements1.3% of 79 movements6.1% of 147 movements11.8% of 76 movements9.1% of 88 movements202113.4% of 67 movements18.4% of 49 movements †11.1% of 54 movements5.0% of 60 movements5.4% of 92 movements2.1% of 146 movements7.4% of 175 movements9.0% of 156 movements22.0% of 159 movements18.8% of 191 movements22.7% of 225 movements21.4% of 215 movements202216.0% of 206 movements39.6% of 202 movements22.3% of 224 movements45.1% of 237 movements38.1% of 252 movements49.2% of 238 movements59.8% of 209 movements37.5% of 200 movements61.1% of 185 movements43.9% of 214 movements42.8% of 229 movements51.6% of 252 movements202335.5% of 301 movements30.3% of 300 movements53.9% of 334 movements37.2% of 298 movements51.9% of 337 movements52.5% of 318 movements56.0% of 318 movements46.4% of 338 movements56.0% of 323 movements42.6% of 336 movements30.9% of 330 movements44.5% of 319 movements202418.8% of 330 movements23.4% of 320 movements23.1% of 342 movements28.1% of 345 movements31.0% of 361 movements39.4% of 348 movements43.9% of 367 movements36.2% of 370 movements46.5% of 357 movements28.9% of 374 movements18.1% of 392 movements27.9% of 366 movements202519.2% of 354 movements6.1% of 312 movements15.3% of 347 movements8.6% of 338 movements20.5% of 317 movements19.5% of 323 movements36.4% of 316 movements20.3% of 315 movements37.9% of 322 movements25.7% of 346 movements19.2% of 317 movements21.3% of 314 movements202618.3% of 301 movements11.0% of 273 movements15.7% of 312 movements7.9% of 315 movements23.9% of 306 movements36.3% of 314 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan18.3%10.4–35.5%7 months, 2,235 flights
Feb16.6%6.1–39.6%7 months, 2,086 flights
Mar20.5%15.3–53.9%7 months, 2,343 flights
Apr14.5%7.9–45.1%7 months, 2,441 flights
May23.9%13.6–51.9%7 months, 2,516 flights
Jun36.3%17.5–52.5%7 months, 2,439 flights
Jul40.1%25.3–59.8%6 months, 2,142 flights
Aug29.4%18.9–46.4%6 months, 2,171 flights
Sep42.2%21.2–61.1%6 months, 2,083 flights
Oct27.7%20.8–43.9%6 months, 2,212 flights
Nov19.0%11.3–42.8%6 months, 2,127 flights
Dec26.2%17.9–51.6%6 months, 2,032 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: British Airways Plc, 23.0% of 3,749 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 optionBritish Airways23.0% of 3,749 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
British Airways3,74923.0% of 3,749 movements1.2% of 3,749 movements0.1% of 3,749 movementsdescriptive comparison
Delta Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Flybesuppressed: 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
Ryanairsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
United Airlinessuppressed: 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, NCL had the lowest disruption share at 18.6% of 1,838 movements and MAN the highest at 29.1% of 2,568 movements. This route sits at 23.0% of 3,751 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 ↔ Heathrow20.3% of 2,341 flightsBhd ↔ Heathrow19.6% of 2,266 flightsGla ↔ Heathrow20.9% of 3,563 flightsIom ↔ Heathrow21.2% of 363 flightsJer ↔ Heathrow23.5% of 1,081 flightsMan ↔ Heathrow29.1% of 2,568 flightsNcl ↔ Heathrow18.6% of 1,838 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Heathrow2,34120.3% of 2,341 movements2.5% of 2,341 movements0.3% of 2,341 movementsdescriptive comparison
Bfs ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Heathrow2,26619.6% of 2,266 movements1.3% of 2,266 movements0.1% of 2,266 movementsdescriptive comparison
Bhx ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Boh ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Brs ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Cwl ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ext ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Heathrow3,56320.9% of 3,563 movements1.0% of 3,563 movements0.1% of 3,563 movementsdescriptive comparison
Iom ↔ Heathrow36321.2% of 363 movements2.2% of 363 movements0.3% of 363 movementsdescriptive comparison
Jer ↔ Heathrow1,08123.5% of 1,081 movements0.8% of 1,081 movements0.5% of 1,081 movementsdescriptive comparison
Lba ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lcy ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lpl ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Heathrow2,56829.1% of 2,568 movements0.6% of 2,568 movements0.2% of 2,568 movementsdescriptive comparison
Mme ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ Heathrow1,83818.6% of 1,838 movements0.8% of 1,838 movementsno events in 1,838 movementsdescriptive comparison
Sou ↔ Heathrowsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Heathrowsuppressed: 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 EDI ran 23.0% of 3,751 movements disrupted, departures 24.6% of 3,751 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 EDI23.0% of 3,751 movements1.2% of 3,751 movements0.1% of 3,751 movements
Departures from EDI24.6% of 3,751 movements1.4% of 3,751 movements0.3% of 3,751 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 202655 flights out of 30,13655 × £220 = £12,100
ArrivalsLast 72 months · Jul 2020–Jun 202636 flights out of 18,64236 × £220 = £7,920
DeparturesWhole archive · Jan 2018–Jun 2026105 flights out of 30,121105 × £220 = £23,100
DeparturesLast 72 months · Jul 2020–Jun 202681 flights out of 18,63081 × £220 = £17,820
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 / countryHEATHROW / UNITED KINGDOM
Final point codesLHR / EGLL
Great-circle distance534 km
Maximum statutory amount for the band£220
Average operated arrivals per day10.15
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 archive102

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: 3,751; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

23.0% of 3,751 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

1.2% of 3,751 movements in the same window.

How many delays crossed three hours?

0.1% of 3,751 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?

534 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

We'll email you once; unsubscribe any time.

Related records