UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ DUBAI

In the twelve months from July 2025 to June 2026, 33.1% of 3,122 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, 66.9% of 3,122 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 164 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, 33.1% of 3,122 movements were disrupted and 3.1% of 3,122 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
33.1% of 3,122 movements3.1% of 3,122 movements26.5–53.8 min; N of delayed flights=934–1,7843,122
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: 3.1% of 3,122 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 min29.9%30 min15.0%60 min5.1%120 min1.6%180 min0.6%360 min0.2%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min29.9% of 3,122 movements9343.3
>30 min15.0% of 3,122 movements4696.7
>60 min5.1% of 3,122 movements16019.5
>120 min1.6% of 3,122 movements4963.7
>180 min0.6% of 3,122 movements19164.3
>360 min0.2% of 3,122 movements6520.3
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 early44614.3%15–1 early79425.4%0–15 late85027.2%16–3046514.9%31–603099.9%61…1201113.6%121…180301.0%181…360130.4%>36060.2%D=3,122
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0245; corpus median 0.0217; 2056 routes in the corpus. The shape is compared conditionally among delays; the class name does not measure absolute frequency. Histogram counts and shares cover all recorded operations including unmatched records; reconstructed uniquely.

Has this route got better or worse since 2018?

Best month: Jul 2021, 4.8% of 62 movements. Worst month: Mar 2026, 83.1% of 231 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: 31.4%; sample: 2962018Feb 2018: 21.0%; sample: 276Mar 2018: 28.5%; sample: 312Apr 2018: 19.6%; sample: 286May 2018: 10.8%; sample: 269Jun 2018: 7.1%; sample: 283Jul 2018: 17.4%; sample: 305Aug 2018: 21.6%; sample: 306Sep 2018: 22.0%; sample: 291Oct 2018: 18.9%; sample: 302Nov 2018: 13.3%; sample: 301Dec 2018: 25.8%; sample: 314Jan 2019: 20.6%; sample: 3112019Feb 2019: 22.3%; sample: 283Mar 2019: 33.2%; sample: 307Apr 2019: 23.6%; sample: 225May 2019: 9.9%; sample: 192Jun 2019: 16.2%; sample: 259Jul 2019: 20.3%; sample: 271Aug 2019: 24.4%; sample: 270Sep 2019: 25.8%; sample: 252Oct 2019: 23.6%; sample: 271Nov 2019: 11.9%; sample: 270Dec 2019: 17.6%; sample: 279Jan 2020: 42.4%; sample: 2782020Feb 2020: 43.3%; sample: 263Mar 2020: 17.8%; sample: 213Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: 0.0%; sample: 47Jul 2020: 10.0%; sample: 90Aug 2020: 17.1%; sample: 111Sep 2020: 17.6%; sample: 119Oct 2020: 11.7%; sample: 162Nov 2020: 5.3%; sample: 132Dec 2020: 15.4%; sample: 221Jan 2021: 17.9%; sample: 1962021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: suppressed: fewer than twenty movements×May 2021: suppressed: fewer than twenty movements×Jun 2021: 6.1%; sample: 49Jul 2021: 4.8%; sample: 62Aug 2021: 26.7%; sample: 101Sep 2021: 17.2%; sample: 174Oct 2021: 23.8%; sample: 252Nov 2021: 14.5%; sample: 242Dec 2021: 38.4%; sample: 268Jan 2022: 33.5%; sample: 2572022Feb 2022: 40.3%; sample: 226Mar 2022: 28.1%; sample: 249Apr 2022: 35.4%; sample: 240May 2022: 28.6%; sample: 231Jun 2022: 18.3%; sample: 213Jul 2022: 27.6%; sample: 217Aug 2022: 19.2%; sample: 245Sep 2022: 30.5%; sample: 239Oct 2022: 36.3%; sample: 248Nov 2022: 10.0%; sample: 241Dec 2022: 35.8%; sample: 268Jan 2023: 30.1%; sample: 2822023Feb 2023: 23.8%; sample: 252Mar 2023: 24.1%; sample: 278Apr 2023: 23.8%; sample: 261May 2023: 23.1%; sample: 268Jun 2023: 19.6%; sample: 260Jul 2023: 37.0%; sample: 270Aug 2023: 22.1%; sample: 258Sep 2023: 26.6%; sample: 259Oct 2023: 40.4%; sample: 272Nov 2023: 33.7%; sample: 309Dec 2023: 39.5%; sample: 319Jan 2024: 39.5%; sample: 3192024Feb 2024: 42.5%; sample: 299Mar 2024: 23.8%; sample: 323Apr 2024: 56.0%; sample: 293May 2024: 31.6%; sample: 301Jun 2024: 28.0%; sample: 282Jul 2024: 30.1%; sample: 299Aug 2024: 35.5%; sample: 301Sep 2024: 35.9%; sample: 290Oct 2024: 61.1%; sample: 301Nov 2024: 20.0%; sample: 300Dec 2024: 20.5%; sample: 303Jan 2025: 20.6%; sample: 3102025Feb 2025: 13.6%; sample: 280Mar 2025: 14.5%; sample: 303Apr 2025: 19.6%; sample: 270May 2025: 24.7%; sample: 279Jun 2025: 47.8%; sample: 270Jul 2025: 25.9%; sample: 278Aug 2025: 24.0%; sample: 279Sep 2025: 39.6%; sample: 270Oct 2025: 32.9%; sample: 283Nov 2025: 13.6%; sample: 317Dec 2025: 22.6%; sample: 337Jan 2026: 43.8%; sample: 3362026Feb 2026: 27.6%; sample: 304Mar 2026: 83.1%; sample: 231Apr 2026: 62.9%; sample: 151May 2026: 21.5%; sample: 186Jun 2026: 10.7%; sample: 150Pandemic 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 201831.4% of 296 movements
Feb 201821.0% of 276 movements
Mar 201828.5% of 312 movements
Apr 201819.6% of 286 movements
May 201810.8% of 269 movements
Jun 20187.1% of 283 movements
Jul 201817.4% of 305 movements
Aug 201821.6% of 306 movements
Sep 201822.0% of 291 movements
Oct 201818.9% of 302 movements
Nov 201813.3% of 301 movements
Dec 201825.8% of 314 movements
Jan 201920.6% of 311 movements
Feb 201922.3% of 283 movements
Mar 201933.2% of 307 movements
Apr 201923.6% of 225 movements
May 20199.9% of 192 movements
Jun 201916.2% of 259 movements
Jul 201920.3% of 271 movements
Aug 201924.4% of 270 movements
Sep 201925.8% of 252 movements
Oct 201923.6% of 271 movements
Nov 201911.9% of 270 movements
Dec 201917.6% of 279 movements
Jan 202042.4% of 278 movements
Feb 202043.3% of 263 movements
Mar 202017.8% of 213 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020no events in 47 movements — small sample, not ranked
Jul 202010.0% of 90 movements
Aug 202017.1% of 111 movements
Sep 202017.6% of 119 movements
Oct 202011.7% of 162 movements
Nov 20205.3% of 132 movements
Dec 202015.4% of 221 movements
Jan 202117.9% of 196 movements
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 2021suppressed: fewer than twenty movements
May 2021suppressed: fewer than twenty movements
Jun 20216.1% of 49 movements — small sample, not ranked
Jul 20214.8% of 62 movements
Aug 202126.7% of 101 movements
Sep 202117.2% of 174 movements
Oct 202123.8% of 252 movements
Nov 202114.5% of 242 movements
Dec 202138.4% of 268 movements
Jan 202233.5% of 257 movements
Feb 202240.3% of 226 movements
Mar 202228.1% of 249 movements
Apr 202235.4% of 240 movements
May 202228.6% of 231 movements
Jun 202218.3% of 213 movements
Jul 202227.6% of 217 movements
Aug 202219.2% of 245 movements
Sep 202230.5% of 239 movements
Oct 202236.3% of 248 movements
Nov 202210.0% of 241 movements
Dec 202235.8% of 268 movements
Jan 202330.1% of 282 movements
Feb 202323.8% of 252 movements
Mar 202324.1% of 278 movements
Apr 202323.8% of 261 movements
May 202323.1% of 268 movements
Jun 202319.6% of 260 movements
Jul 202337.0% of 270 movements
Aug 202322.1% of 258 movements
Sep 202326.6% of 259 movements
Oct 202340.4% of 272 movements
Nov 202333.7% of 309 movements
Dec 202339.5% of 319 movements
Jan 202439.5% of 319 movements
Feb 202442.5% of 299 movements
Mar 202423.8% of 323 movements
Apr 202456.0% of 293 movements
May 202431.6% of 301 movements
Jun 202428.0% of 282 movements
Jul 202430.1% of 299 movements
Aug 202435.5% of 301 movements
Sep 202435.9% of 290 movements
Oct 202461.1% of 301 movements
Nov 202420.0% of 300 movements
Dec 202420.5% of 303 movements
Jan 202520.6% of 310 movements
Feb 202513.6% of 280 movements
Mar 202514.5% of 303 movements
Apr 202519.6% of 270 movements
May 202524.7% of 279 movements
Jun 202547.8% of 270 movements
Jul 202525.9% of 278 movements
Aug 202524.0% of 279 movements
Sep 202539.6% of 270 movements
Oct 202532.9% of 283 movements
Nov 202513.6% of 317 movements
Dec 202522.6% of 337 movements
Jan 202643.8% of 336 movements
Feb 202627.6% of 304 movements
Mar 202683.1% of 231 movements
Apr 202662.9% of 151 movements
May 202621.5% of 186 movements
Jun 202610.7% of 150 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 47 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departures8.7% of 46 movements — small sample, not rankedno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals27.6% of 217 movements25.8% across 2,515 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Departures59.4% of 217 movements28.9% across 2,513 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals22.1% of 258 movements26.1% across 3,112 flightsreturned after 7 months
NATS system failure · Aug 2023Departures42.8% of 257 movements40.5% across 3,113 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals14.5% of 303 movements31.4% across 3,583 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures16.6% of 301 movements31.7% across 3,584 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?

October has historically been the hardest month on this route: in a typical October, 34.6% of arrivals were disrupted, measured across 6 Octobers in the archive. November has been the calmest, at 13.4% across 6 Novembers.

Even October has ranged from 18.9% 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 nJanFebMarAprMayJunJulAugSepOctNovDec201920.6% of 311 movements22.3% of 283 movements33.2% of 307 movements23.6% of 225 movements9.9% of 192 movements16.2% of 259 movements20.3% of 271 movements24.4% of 270 movements25.8% of 252 movements23.6% of 271 movements11.9% of 270 movements17.6% of 279 movements202042.4% of 278 movements43.3% of 263 movements17.8% of 213 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno events in 47 movements †10.0% of 90 movements17.1% of 111 movements17.6% of 119 movements11.7% of 162 movements5.3% of 132 movements15.4% of 221 movements202117.9% of 196 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements6.1% of 49 movements †4.8% of 62 movements26.7% of 101 movements17.2% of 174 movements23.8% of 252 movements14.5% of 242 movements38.4% of 268 movements202233.5% of 257 movements40.3% of 226 movements28.1% of 249 movements35.4% of 240 movements28.6% of 231 movements18.3% of 213 movements27.6% of 217 movements19.2% of 245 movements30.5% of 239 movements36.3% of 248 movements10.0% of 241 movements35.8% of 268 movements202330.1% of 282 movements23.8% of 252 movements24.1% of 278 movements23.8% of 261 movements23.1% of 268 movements19.6% of 260 movements37.0% of 270 movements22.1% of 258 movements26.6% of 259 movements40.4% of 272 movements33.7% of 309 movements39.5% of 319 movements202439.5% of 319 movements42.5% of 299 movements23.8% of 323 movements56.0% of 293 movements31.6% of 301 movements28.0% of 282 movements30.1% of 299 movements35.5% of 301 movements35.9% of 290 movements61.1% of 301 movements20.0% of 300 movements20.5% of 303 movements202520.6% of 310 movements13.6% of 280 movements14.5% of 303 movements19.6% of 270 movements24.7% of 279 movements47.8% of 270 movements25.9% of 278 movements24.0% of 279 movements39.6% of 270 movements32.9% of 283 movements13.6% of 317 movements22.6% of 337 movements202643.8% of 336 movements27.6% of 304 movements83.1% of 231 movements62.9% of 151 movements21.5% of 186 movements10.7% of 150 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan31.4%20.6–43.8%7 months, 2,111 flights
Feb23.8%13.6–42.5%7 months, 1,920 flights
Mar28.1%14.5–83.1%7 months, 2,003 flights
Apr23.8%19.6–62.9%7 months, 1,726 flights
May23.1%9.9–31.6%7 months, 1,726 flights
Jun18.3%7.1–47.8%7 months, 1,717 flights
Jul26.8%17.4–37.0%6 months, 1,640 flights
Aug23.1%19.2–35.5%6 months, 1,659 flights
Sep28.6%22.0–39.6%6 months, 1,601 flights
Oct34.6%18.9–61.1%6 months, 1,677 flights
Nov13.4%10.0–33.7%6 months, 1,738 flights
Dec24.2%17.6–39.5%6 months, 1,820 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 24.3% of 729 movements, Emirates 35.6% of 2,252 movements, Virgin Atlantic Airways 37.6% of 141 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 Airways24.3% of 729 flightsEmirates35.6% of 2,252 flightsVirgin Atlantic Airways37.6% of 141 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
British Airways72924.3% of 729 movements4.3% of 729 movements0.3% of 729 movementsdescriptive comparison
Emirates2,25235.6% of 2,252 movements2.4% of 2,252 movements0.7% of 2,252 movementsdescriptive comparison
Royal Brunei Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Singapore Airlinessuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Virgin Atlantic Airways14137.6% of 141 movements9.2% of 141 movements1.4% of 141 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, EDI had the lowest disruption share at 20.3% of 340 movements and MAN the highest at 35.9% of 1,063 movements. This route sits at 33.1% of 3,122 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 optionBhx ↔ Dubai26.4% of 644 flightsEdi ↔ Dubai20.3% of 340 flightsGla ↔ Dubai30.1% of 365 flightsLgw ↔ Dubai32.4% of 1,100 flightsMan ↔ Dubai35.9% of 1,063 flightsNcl ↔ Dubai21.1% of 341 flightsStn ↔ Dubai24.4% of 630 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bhx ↔ Dubai64426.4% of 644 movements6.2% of 644 movements0.5% of 644 movementsdescriptive comparison
Doncaster-Sheffield ↔ Dubaisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Dubai34020.3% of 340 movements2.9% of 340 movements0.3% of 340 movementsdescriptive comparison
Ema ↔ Dubaisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Dubai36530.1% of 365 movements2.2% of 365 movements0.3% of 365 movementsdescriptive comparison
Lgw ↔ Dubai1,10032.4% of 1,100 movements5.7% of 1,100 movements0.4% of 1,100 movementsdescriptive comparison
Ltn ↔ Dubaisuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Dubai1,06335.9% of 1,063 movements3.1% of 1,063 movements0.8% of 1,063 movementsdescriptive comparison
Ncl ↔ Dubai34121.1% of 341 movements2.6% of 341 movements0.3% of 341 movementsdescriptive comparison
Stn ↔ Dubai63024.4% of 630 movements5.6% of 630 movements0.2% of 630 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into LHR ran 33.1% of 3,122 movements disrupted, departures 27.1% of 3,121 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 LHR33.1% of 3,122 movements3.1% of 3,122 movements0.6% of 3,122 movements
Departures from LHR27.1% of 3,121 movements3.5% of 3,121 movements0.2% of 3,121 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 2026113 flights out of 24,353113 × £520 = £58,760
ArrivalsLast 72 months · Jul 2020–Jun 202693 flights out of 16,78793 × £520 = £48,360
DeparturesWhole archive · Jan 2018–Jun 202696 flights out of 24,58596 × £520 = £49,920
DeparturesLast 72 months · Jul 2020–Jun 202676 flights out of 17,03076 × £520 = £39,520
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 / countryDUBAI / UNITED ARAB EMIRATES
Final point codesDXB / OMDB
Great-circle distance5,498 km
Maximum statutory amount for the band£520
Average operated arrivals per day8.28
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: 3,122; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

33.1% of 3,122 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

3.1% of 3,122 movements in the same window.

How many delays crossed three hours?

0.6% of 3,122 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?

5,498 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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