UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ COPENHAGEN

In the twelve months from July 2025 to June 2026, 18.5% of 3,591 movements arriving into LHR were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 81.5% of 3,591 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 718 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, 18.5% of 3,591 movements were disrupted and 1.2% of 3,591 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
18.5% of 3,591 movements1.2% of 3,591 movements19.0–52.2 min; N of delayed flights=621–1,5233,591
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 3,591 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 min17.3%30 min8.5%60 min2.8%120 min0.5%180 min0.1%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min17.3% of 3,591 movements6215.8
>30 min8.5% of 3,591 movements30511.8
>60 min2.8% of 3,591 movements9936.3
>120 min0.5% of 3,591 movements18199.5
>180 min0.1% of 3,591 movements5718.2
>360 minno events in 3,591 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 early56515.7%15–1 early1,46140.7%0–15 late90225.1%16–303168.8%31–602065.7%61…120812.3%121…180130.4%181…36050.1%>36000.0%D=3,591
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: Sep 2020, 1.2% of 84 movements. Worst month: Sep 2024, 42.2% of 294 movements.

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

Monthly disruption share; gaps mean no published dataJan 2018: 21.9%; sample: 3152018Feb 2018: 13.2%; sample: 310Mar 2018: 25.7%; sample: 342Apr 2018: 31.3%; sample: 326May 2018: 18.8%; sample: 377Jun 2018: 19.7%; sample: 356Jul 2018: 24.0%; sample: 346Aug 2018: 19.3%; sample: 362Sep 2018: 20.6%; sample: 354Oct 2018: 28.2%; sample: 376Nov 2018: 29.2%; sample: 339Dec 2018: 32.9%; sample: 307Jan 2019: 11.7%; sample: 3082019Feb 2019: 14.3%; sample: 307Mar 2019: 25.7%; sample: 339Apr 2019: 13.6%; sample: 301May 2019: 11.8%; sample: 313Jun 2019: 35.4%; sample: 294Jul 2019: 23.1%; sample: 290Aug 2019: 25.6%; sample: 301Sep 2019: 33.8%; sample: 284Oct 2019: 31.4%; sample: 312Nov 2019: 12.0%; sample: 291Dec 2019: 17.9%; sample: 296Jan 2020: 11.6%; sample: 2842020Feb 2020: 31.3%; sample: 294Mar 2020: 10.9%; sample: 201Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: 3.3%; sample: 90Aug 2020: 2.4%; sample: 84Sep 2020: 1.2%; sample: 84Oct 2020: 1.7%; sample: 116Nov 2020: 18.2%; sample: 33Dec 2020: 15.4%; sample: 52Jan 2021: 8.3%; sample: 362021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: 5.0%; sample: 20Apr 2021: 7.7%; sample: 26May 2021: 2.4%; sample: 42Jun 2021: 1.6%; sample: 61Jul 2021: 7.8%; sample: 64Aug 2021: 5.1%; sample: 99Sep 2021: 8.7%; sample: 127Oct 2021: 9.5%; sample: 169Nov 2021: 7.6%; sample: 172Dec 2021: 21.7%; sample: 166Jan 2022: 8.0%; sample: 1372022Feb 2022: 22.5%; sample: 129Mar 2022: 11.0%; sample: 218Apr 2022: 15.6%; sample: 263May 2022: 27.9%; sample: 276Jun 2022: 36.0%; sample: 258Jul 2022: 36.4%; sample: 220Aug 2022: 21.9%; sample: 228Sep 2022: 34.1%; sample: 229Oct 2022: 23.6%; sample: 246Nov 2022: 12.7%; sample: 284Dec 2022: 34.6%; sample: 266Jan 2023: 20.8%; sample: 2842023Feb 2023: 17.7%; sample: 260Mar 2023: 29.4%; sample: 296Apr 2023: 23.2%; sample: 280May 2023: 26.4%; sample: 295Jun 2023: 41.9%; sample: 277Jul 2023: 31.3%; sample: 294Aug 2023: 24.1%; sample: 295Sep 2023: 31.3%; sample: 284Oct 2023: 28.0%; sample: 314Nov 2023: 20.0%; sample: 320Dec 2023: 36.1%; sample: 299Jan 2024: 21.6%; sample: 2832024Feb 2024: 17.9%; sample: 301Mar 2024: 21.0%; sample: 315Apr 2024: 31.0%; sample: 290May 2024: 29.5%; sample: 302Jun 2024: 20.8%; sample: 283Jul 2024: 33.2%; sample: 304Aug 2024: 25.0%; sample: 296Sep 2024: 42.2%; sample: 294Oct 2024: 23.5%; sample: 319Nov 2024: 16.6%; sample: 331Dec 2024: 22.1%; sample: 330Jan 2025: 14.5%; sample: 3112025Feb 2025: 7.9%; sample: 302Mar 2025: 11.0%; sample: 326Apr 2025: 4.1%; sample: 291May 2025: 8.9%; sample: 293Jun 2025: 15.2%; sample: 283Jul 2025: 19.4%; sample: 288Aug 2025: 14.3%; sample: 287Sep 2025: 33.2%; sample: 283Oct 2025: 14.4%; sample: 313Nov 2025: 13.6%; sample: 323Dec 2025: 16.2%; sample: 327Jan 2026: 26.6%; sample: 3082026Feb 2026: 21.7%; sample: 295Mar 2026: 9.2%; sample: 327Apr 2026: 12.6%; sample: 285May 2026: 16.4%; sample: 286Jun 2026: 26.4%; sample: 269Pandemic regime Jun 2020Summer 2022 breakdown Jul 2022NATS system failure Aug 2023Heathrow fire closure Mar 2025100%0%
Every month since 2018, including gaps and suppressed cells
MonthDisruption on arrivals
Jan 201821.9% of 315 movements
Feb 201813.2% of 310 movements
Mar 201825.7% of 342 movements
Apr 201831.3% of 326 movements
May 201818.8% of 377 movements
Jun 201819.7% of 356 movements
Jul 201824.0% of 346 movements
Aug 201819.3% of 362 movements
Sep 201820.6% of 354 movements
Oct 201828.2% of 376 movements
Nov 201829.2% of 339 movements
Dec 201832.9% of 307 movements
Jan 201911.7% of 308 movements
Feb 201914.3% of 307 movements
Mar 201925.7% of 339 movements
Apr 201913.6% of 301 movements
May 201911.8% of 313 movements
Jun 201935.4% of 294 movements
Jul 201923.1% of 290 movements
Aug 201925.6% of 301 movements
Sep 201933.8% of 284 movements
Oct 201931.4% of 312 movements
Nov 201912.0% of 291 movements
Dec 201917.9% of 296 movements
Jan 202011.6% of 284 movements
Feb 202031.3% of 294 movements
Mar 202010.9% of 201 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 20203.3% of 90 movements
Aug 20202.4% of 84 movements
Sep 20201.2% of 84 movements
Oct 20201.7% of 116 movements
Nov 202018.2% of 33 movements — small sample, not ranked
Dec 202015.4% of 52 movements
Jan 20218.3% of 36 movements — small sample, not ranked
Feb 2021suppressed: fewer than twenty movements
Mar 20215.0% of 20 movements — small sample, not ranked
Apr 20217.7% of 26 movements — small sample, not ranked
May 20212.4% of 42 movements — small sample, not ranked
Jun 20211.6% of 61 movements
Jul 20217.8% of 64 movements
Aug 20215.1% of 99 movements
Sep 20218.7% of 127 movements
Oct 20219.5% of 169 movements
Nov 20217.6% of 172 movements
Dec 202121.7% of 166 movements
Jan 20228.0% of 137 movements
Feb 202222.5% of 129 movements
Mar 202211.0% of 218 movements
Apr 202215.6% of 263 movements
May 202227.9% of 276 movements
Jun 202236.0% of 258 movements
Jul 202236.4% of 220 movements
Aug 202221.9% of 228 movements
Sep 202234.1% of 229 movements
Oct 202223.6% of 246 movements
Nov 202212.7% of 284 movements
Dec 202234.6% of 266 movements
Jan 202320.8% of 284 movements
Feb 202317.7% of 260 movements
Mar 202329.4% of 296 movements
Apr 202323.2% of 280 movements
May 202326.4% of 295 movements
Jun 202341.9% of 277 movements
Jul 202331.3% of 294 movements
Aug 202324.1% of 295 movements
Sep 202331.3% of 284 movements
Oct 202328.0% of 314 movements
Nov 202320.0% of 320 movements
Dec 202336.1% of 299 movements
Jan 202421.6% of 283 movements
Feb 202417.9% of 301 movements
Mar 202421.0% of 315 movements
Apr 202431.0% of 290 movements
May 202429.5% of 302 movements
Jun 202420.8% of 283 movements
Jul 202433.2% of 304 movements
Aug 202425.0% of 296 movements
Sep 202442.2% of 294 movements
Oct 202423.5% of 319 movements
Nov 202416.6% of 331 movements
Dec 202422.1% of 330 movements
Jan 202514.5% of 311 movements
Feb 20257.9% of 302 movements
Mar 202511.0% of 326 movements
Apr 20254.1% of 291 movements
May 20258.9% of 293 movements
Jun 202515.2% of 283 movements
Jul 202519.4% of 288 movements
Aug 202514.3% of 287 movements
Sep 202533.2% of 283 movements
Oct 202514.4% of 313 movements
Nov 202513.6% of 323 movements
Dec 202516.2% of 327 movements
Jan 202626.6% of 308 movements
Feb 202621.7% of 295 movements
Mar 20269.2% of 327 movements
Apr 202612.6% of 285 movements
May 202616.4% of 286 movements
Jun 202626.4% of 269 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 2022Arrivals36.4% of 220 movements15.1% across 2,078 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures53.3% of 214 movements24.2% across 2,065 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals24.1% of 295 movements26.5% across 3,239 flightsreturned after 3 months
NATS system failure · Aug 2023Departures33.7% of 294 movements34.3% across 3,223 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals11.0% of 326 movements23.9% across 3,677 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures13.2% of 325 movements22.8% across 3,674 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, 33.5% of arrivals were disrupted, measured across 6 Septembers in the archive. November has been the calmest, at 15.1% across 6 Novembers.

Even September has ranged from 20.6% to 42.2% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201911.7% of 308 movements14.3% of 307 movements25.7% of 339 movements13.6% of 301 movements11.8% of 313 movements35.4% of 294 movements23.1% of 290 movements25.6% of 301 movements33.8% of 284 movements31.4% of 312 movements12.0% of 291 movements17.9% of 296 movements202011.6% of 284 movements31.3% of 294 movements10.9% of 201 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements3.3% of 90 movements2.4% of 84 movements1.2% of 84 movements1.7% of 116 movements18.2% of 33 movements †15.4% of 52 movements20218.3% of 36 movements †suppressed: fewer than twenty movements5.0% of 20 movements †7.7% of 26 movements †2.4% of 42 movements †1.6% of 61 movements7.8% of 64 movements5.1% of 99 movements8.7% of 127 movements9.5% of 169 movements7.6% of 172 movements21.7% of 166 movements20228.0% of 137 movements22.5% of 129 movements11.0% of 218 movements15.6% of 263 movements27.9% of 276 movements36.0% of 258 movements36.4% of 220 movements21.9% of 228 movements34.1% of 229 movements23.6% of 246 movements12.7% of 284 movements34.6% of 266 movements202320.8% of 284 movements17.7% of 260 movements29.4% of 296 movements23.2% of 280 movements26.4% of 295 movements41.9% of 277 movements31.3% of 294 movements24.1% of 295 movements31.3% of 284 movements28.0% of 314 movements20.0% of 320 movements36.1% of 299 movements202421.6% of 283 movements17.9% of 301 movements21.0% of 315 movements31.0% of 290 movements29.5% of 302 movements20.8% of 283 movements33.2% of 304 movements25.0% of 296 movements42.2% of 294 movements23.5% of 319 movements16.6% of 331 movements22.1% of 330 movements202514.5% of 311 movements7.9% of 302 movements11.0% of 326 movements4.1% of 291 movements8.9% of 293 movements15.2% of 283 movements19.4% of 288 movements14.3% of 287 movements33.2% of 283 movements14.4% of 313 movements13.6% of 323 movements16.2% of 327 movements202626.6% of 308 movements21.7% of 295 movements9.2% of 327 movements12.6% of 285 movements16.4% of 286 movements26.4% of 269 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan20.8%8.0–26.6%7 months, 1,946 flights
Feb17.7%7.9–22.5%7 months, 1,904 flights
Mar21.0%9.2–29.4%7 months, 2,163 flights
Apr15.6%4.1–31.3%7 months, 2,036 flights
May18.8%8.9–29.5%7 months, 2,142 flights
Jun26.4%15.2–41.9%7 months, 2,020 flights
Jul27.6%19.4–36.4%6 months, 1,742 flights
Aug23.0%14.3–25.6%6 months, 1,769 flights
Sep33.5%20.6–42.2%6 months, 1,728 flights
Oct25.8%14.4–31.4%6 months, 1,880 flights
Nov15.1%12.0–29.2%6 months, 1,888 flights
Dec27.5%16.2–36.1%6 months, 1,825 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: British Airways 16.6% of 1,907 movements, Scandinavian Airlines Ireland 19.9% of 477 movements, Sas 20.8% of 1,205 movements. 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 optionBritish Airways16.6% of 1,907 flightsSas20.8% of 1,205 flightsScandinavian Airlines Ireland19.9% of 477 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Ba Euroflyer British Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
British Airways1,90716.6% of 1,907 movements1.3% of 1,907 movements0.3% of 1,907 movementsdescriptive comparison
Finnairsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Sas1,20520.8% of 1,205 movements1.4% of 1,205 movementsno events in 1,205 movementsdescriptive comparison
Scandinavian Airlines Ireland47719.9% of 477 movementsno events in 477 movementsno events in 477 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 3.3% of 91 movements and MAN the highest at 32.8% of 1,603 movements. This route sits at 18.5% of 3,591 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 ↔ Copenhagen16.2% of 80 flightsBhx ↔ Copenhagen14.8% of 291 flightsBrs ↔ Copenhagen26.2% of 382 flightsEdi ↔ Copenhagen25.8% of 976 flightsLgw ↔ Copenhagen20.4% of 1,604 flightsMan ↔ Copenhagen32.8% of 1,603 flightsNcl ↔ Copenhagen3.3% of 91 flightsStn ↔ Copenhagen20.5% of 1,153 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Copenhagen8016.2% of 80 movementsno events in 80 movementsno events in 80 movementsdescriptive comparison
Bfs ↔ Copenhagensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Copenhagensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Copenhagen29114.8% of 291 movements3.4% of 291 movements0.3% of 291 movementsdescriptive comparison
Brs ↔ Copenhagen38226.2% of 382 movements1.0% of 382 movements0.3% of 382 movementsdescriptive comparison
Cwl ↔ Copenhagensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Copenhagensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Copenhagen97625.8% of 976 movements0.3% of 976 movements0.5% of 976 movementsdescriptive comparison
Ema ↔ Copenhagensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Copenhagensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Iom ↔ Copenhagensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Copenhagensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Copenhagen1,60420.4% of 1,604 movements0.4% of 1,604 movementsno events in 1,604 movementsdescriptive comparison
Lpl ↔ Copenhagensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Copenhagensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Copenhagen1,60332.8% of 1,603 movements0.9% of 1,603 movements0.4% of 1,603 movementsdescriptive comparison
Ncl ↔ Copenhagen913.3% of 91 movementsno events in 91 movementsno events in 91 movementsdescriptive comparison
Sen ↔ Copenhagensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Copenhagen1,15320.5% of 1,153 movements0.6% of 1,153 movements0.5% of 1,153 movementsdescriptive comparison

Does the direction you are flying change anything?

Barely: arrivals into LHR ran 18.5% of 3,591 movements disrupted, departures 17.7% of 3,580 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 LHR18.5% of 3,591 movements1.2% of 3,591 movements0.1% of 3,591 movements
Departures from LHR17.7% of 3,580 movements0.9% of 3,580 movements0.1% of 3,580 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 202648 flights out of 25,30348 × £220 = £10,560
ArrivalsLast 72 months · Jul 2020–Jun 202635 flights out of 16,75635 × £220 = £7,700
DeparturesWhole archive · Jan 2018–Jun 202636 flights out of 25,24736 × £220 = £7,920
DeparturesLast 72 months · Jul 2020–Jun 202626 flights out of 16,70526 × £220 = £5,720
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 airportHEATHROW · LHR
Final point / countryCOPENHAGEN / DENMARK
Final point codesCPH / EKCH
Great-circle distance979 km
Maximum statutory amount for the band£220
Average operated arrivals per day9.72
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 archive101

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: 3,591; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

18.5% of 3,591 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 3,591 movements in the same window.

How many delays crossed three hours?

0.1% of 3,591 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?

979 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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